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Biomedicines, Volume 10, Issue 7 (July 2022) – 305 articles

Cover Story (view full-size image): Tumoroids and organoids models derived from patient tumors have been developed to complete the cancer research arsenal and overcome the limits of current preclinical models. They have proven their added value in terms of preclinical applications. The possibility of deriving tumoroids from primary tumors has opened a direct approach to patient-specific features, supporting their future role in precision medicine. To further complexify these patient-derived tumoroids and organoids, the combination with microfluidic systems allows us to better simulate in vivo conditions. On-a-chip, numerous clinical settings can be taken into account. Toxicology studies can go further with the combination of different organoids models. To sum up, microfluidic chips are evolving, and their potential is recognized in drug discovery phases. Created with BioRender.com. View this paper
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12 pages, 1874 KiB  
Article
Comparison of Two Nuclear Magnetic Resonance Spectroscopy Methods for the Measurement of Lipoprotein Particle Concentrations
by Martin Rief, Reinhard Raggam, Peter Rief, Philipp Metnitz, Tatjana Stojakovic, Markus Reinthaler, Marianne Brodmann, Winfried März, Hubert Scharnagl and Günther Silbernagel
Biomedicines 2022, 10(7), 1766; https://doi.org/10.3390/biomedicines10071766 - 21 Jul 2022
Cited by 4 | Viewed by 1960
Abstract
Background: Measuring lipoprotein particle concentrations may help to improve cardiovascular risk stratification. Both the lipofit (Numares) and lipoprofile (LabCorp) NMR methods are widely used for the quantification of lipoprotein particle concentrations. Objective: The aim of the present work was to perform a method [...] Read more.
Background: Measuring lipoprotein particle concentrations may help to improve cardiovascular risk stratification. Both the lipofit (Numares) and lipoprofile (LabCorp) NMR methods are widely used for the quantification of lipoprotein particle concentrations. Objective: The aim of the present work was to perform a method comparison between the lipofit and lipoprofile NMR methods. In addition, there was the objective to compare lipofit and lipoprofile measurements of standard lipids with clinical chemistry-based results. Methods: Total, LDL, and HDL cholesterol and triglycerides were measured with ß-quantification in serum samples from 150 individuals. NMR measurements of standard lipids and lipoprotein particle concentrations were performed by Numares and LabCorp. Results: For both NMR methods, differences of mean concentrations compared to ß-quantification-derived measurements were ≤5.5% for all standard lipids. There was a strong correlation between ß-quantification- and NMR-derived measurements of total and LDL cholesterol and triglycerides (all r > 0.93). For both, the lipofit (r = 0.81) and lipoprofile (r = 0.84) methods, correlation coefficients were lower for HDL cholesterol. There was a reasonable correlation between LDL and HDL lipoprotein particle concentrations measured with both NMR methods (both r > 0.9). However, mean concentrations of major and subclass lipoprotein particle concentrations were not as strong. Conclusions: The present analysis suggests that reliable measurement of standard lipids is possible with these two NMR methods. Harmonization efforts would be needed for better comparability of particle concentration data. Full article
(This article belongs to the Special Issue Lipid and Lipoprotein Metabolism in Human Health and Diseases)
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<p>Comparison of standard lipids between ß-quantification and lipofit NMR (<b>a</b>) and lipoprofile NMR (<b>b</b>). The (<b>a</b>,<b>b</b>) show the Passing–Bablok regression for total cholesterol (top left), triglycerides (top right), low-density lipoprotein cholesterol (bottom left), and high-density lipoprotein cholesterol (bottom right). The respective slopes of the regression lines (red) were 0.889 (TC), 1.027 (TG), 0.960 (LDL-C), and 0.830 (HDL-C) for lipofit and 0.914 (TC), 0.983 (TG), 0.973 (LDL-C), and 0.786 (HDL-C) for lipoprofile, respectively. The grey line represents the line of identity. (C = cholesterol. HDL = high-density lipoproteins. LDL = low-density lipoproteins. TC = total cholesterol. TG = triglycerides).</p>
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<p>Comparison of lipoprotein particles between the lipoprofile NMR and lipofit NMR methods. The figures show the Passing–Bablok regression for LDL-p (top <b>left</b>), LDL-s (top right), HDL-p (bottom left, and HDL-s (bottom <b>right</b>). The respective slopes of the regression lines (red) were 1.057 (LDL-p), 0.860 (LDL-s), 1.637 (HDL-p), and 1.014 (HDL-s), respectively. The grey line represents the line of identity. (HDL = high-density lipoproteins. LDL = low-density lipoproteins. p = particles. s = size).</p>
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<p>Comparison of lipoprotein particles between the lipoprofile and lipofit methods. The figures show the Passing–Bablok regression for large and very large VLDL (top <b>left</b>), LDL-p (top middle), LDL-s (top <b>right</b>), large LDL-p (middle <b>left</b>), small and medium LDL-p (<b>middle</b>), HDL-p (middle right), HDL-s (bottom <b>left</b>), large HDL-p (bottom middle), and small HDL-p (bottom <b>right</b>). The respective slopes of the regression lines (red) were 0.980 (large VLDL-p), 1.272 (large LDL-p), 0.593 (small and medium LDL-p), 1.817 (small HDL-p) and 1.722 (large HDL-p), respectively. The grey line represents the line of identity. (HDL = high-density lipoproteins. LDL = low-density lipoproteins. p = particles. VLDL = very-low-density lipoproteins).</p>
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11 pages, 1185 KiB  
Article
Cardiac Amyloidosis with Normal Wall Thickness: Prevalence, Clinical Characteristics and Outcome in a Retrospective Analysis
by Daniella Nagy, Katalin Révész, Gergely Peskó, Gergely Varga, Laura Horváth, Péter Farkas, András Dávid Tóth, Róbert Sepp, Hajnalka Vágó, Anikó Ilona Nagy, Tamás Masszi and Zoltán Pozsonyi
Biomedicines 2022, 10(7), 1765; https://doi.org/10.3390/biomedicines10071765 - 21 Jul 2022
Cited by 10 | Viewed by 2434
Abstract
Background: Cardiac amyloidosis (CA) is a rare, progressive, infiltrative cardiac disease. Light chain (AL) and transthyretin (ATTR) amyloidosis are in the background in almost all cases. New, easily available diagnostic tools and recently introduced novel therapies for both types of CA put this [...] Read more.
Background: Cardiac amyloidosis (CA) is a rare, progressive, infiltrative cardiac disease. Light chain (AL) and transthyretin (ATTR) amyloidosis are in the background in almost all cases. New, easily available diagnostic tools and recently introduced novel therapies for both types of CA put this disease into the field of interest. Increased left ventricular wall thickness (IWT) detected by echocardiography is generally thought to be a necessary part of the diagnosis. We aimed to determine the proportion of CA patients without IWT, and to define the clinical characteristics of this cohort. Methods: In an academic tertiary center for CA, we identified patients diagnosed and treated for CA between January 2009 and February 2022. In a retrospective analysis we defined the proportion of patients with (≥12 mm) and without (<12 mm) IWT, and described their clinical features. Results: We identified 98 patients suitable for the analysis. In total, 70 had AL and 27 ATTR CA; 89 patients had CA with IWT and 9 patients (9%) had CA without IWT. All non-IWT patients had AL type CA. Both group of patients had clinically significant disease, which is supported by the relevant elevation in cardiac biomarker levels. There was no difference between the outcome of the two groups. Conclusion: Patients without IWT form a relevant subgroup among those with CA. Our results suggest that diagnostic algorithms and criteria should take these individuals into consideration, and, therefore, give them access to effective treatments. Full article
(This article belongs to the Special Issue Novel Diagnostic and Therapeutic Approaches in Cardiac Amyloidosis)
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<p>ECG, echocardiography and CMR images of patients without increased wall thickness and CA. (<b>A</b>): ECG: sinus rhythm, first degree AV block, no low voltage, ST-T changes. (<b>B</b>): Echocardiography. End diastolic frame, parasternal long axis view. (<b>C</b>): CMR image. Long axis four chamber view from a steady-state free precession movie sequence. End diastolic image. Normal left ventricular wall thickness and bilateral pleural effusion. (<b>D</b>): Late gadolinium enhancement from a phase sensitive inversion recovery (PSIR) sequence from the same patient in short axis view. Diffuse subendocardial enhancement, typical for CA.</p>
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<p>ECG, echocardiography and CMR images of patients without increased wall thickness and CA. (<b>A</b>): ECG: sinus rhythm, first degree AV block, no low voltage, ST-T changes. (<b>B</b>): Echocardiography. End diastolic frame, parasternal long axis view. (<b>C</b>): CMR image. Long axis four chamber view from a steady-state free precession movie sequence. End diastolic image. Normal left ventricular wall thickness and bilateral pleural effusion. (<b>D</b>): Late gadolinium enhancement from a phase sensitive inversion recovery (PSIR) sequence from the same patient in short axis view. Diffuse subendocardial enhancement, typical for CA.</p>
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<p>(<b>A</b>): Kaplan–Meier curves comparing cardiac amyloidosis patients with and without increased left ventricular wall thickness (IWT: <span class="html-italic">n</span> = 89, non IWT: 9; Log–Rank test: <span class="html-italic">p</span> = 0.7269 (<b>A</b>). (<b>B</b>): only AL patients (IWT: <span class="html-italic">n</span> = 61, non-IWT: = 9) are presented. There was also no significant difference in the outcome (Log-Rank test: <span class="html-italic">p</span> = 0.8651). Dash line represents non IWT patients, continuous line represents IWT patients.</p>
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12 pages, 1823 KiB  
Article
The Hypertensive Effect of Amphotericin B-Containing Liposomes (Abelcet) in Mice: Dissecting the Roles of C3a and C5a Anaphylatoxins, Macrophages and Thromboxane
by Erik Őrfi, László Hricisák, László Dézsi, Péter Hamar, Zoltán Benyó, János Szebeni and Gábor Szénási
Biomedicines 2022, 10(7), 1764; https://doi.org/10.3390/biomedicines10071764 - 21 Jul 2022
Cited by 2 | Viewed by 1930
Abstract
Liposomal amphotericin B (Abelcet) can cause infusion (anaphylactoid) reactions in patients whose mechanism is poorly understood. Here, we used mice to investigate the role of complement (C) receptors and the cellular sources of vasoactive mediators in these reactions. Anesthetized male NMRI and thromboxane [...] Read more.
Liposomal amphotericin B (Abelcet) can cause infusion (anaphylactoid) reactions in patients whose mechanism is poorly understood. Here, we used mice to investigate the role of complement (C) receptors and the cellular sources of vasoactive mediators in these reactions. Anesthetized male NMRI and thromboxane prostanoid receptor (TP) or cyclooxygenase-1 (COX-1)-deficient and wild type C57Bl6/N mice were intravenously injected with Abelcet at 30 mg/kg. Mean arterial blood pressure (MABP) and heart rate (HR) were measured. In untreated mice, Abelcet caused a short (15 min) but large (30%) increase in MABP. C depletion with cobra venom factor (CVF) and inhibition of C5a receptors with DF2593A considerably prolonged, while C3aR inhibition with SB290157 significantly decreased the hypertensive effect. Likewise, the hypertensive response was abolished in COX-1- and TP-deficient mice. CVF caused a late hypertension in TP-deficient mice. Both macrophage depletion with liposomal clodronate and blockade of platelet GPIIb/IIIa receptors with eptifibatide prolonged the hypertensive effect. The early phase of the hypertensive effect is COX-1- and TP-receptor-dependent, partly mediated by C3aR. In contrast, the late phase is under the control of vasoactive mediators released from platelets and macrophages subsequent to complement activation and C5a binding to its receptor. Full article
(This article belongs to the Special Issue Molecular Mechanisms in Anaphylaxis)
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<p>Effects of two sequential treatments with Abelcet (30 mg/kg, i.v.) on MABP and HR in anesthetized NMRI mice (n = 5). The time of i.v. Abelcet injection is indicated by arrows. (<b>A</b>): mean arterial blood pressure (MABP); (<b>B</b>): heart rate (HR). The two MABP and HR curves (for 30 min from Abelcet administration) were compared using two-way ANOVA for repeated measurements followed by Dunnett’s multiple comparison tests. MABP and HR changes were similar after the Abelcet administrations.</p>
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<p>Effects of complement depletion with cobra venom factor (CVF, n = 6) and treatment with DF2593A (n = 6; C3a receptor antagonist) and SB290157 (C5a receptor antagonists; n = 6) on Abelcet-induced MABP and HR changes in anesthetized NMRI mice. The time of treatment with DF2593A, SB290157, or their vehicle and Abelcet injection is indicated by arrows. CVF was administered 18 and 2 h before anesthesia at doses of 30 and 100 U/kg, respectively, in a volume of 10 mL/kg. (<b>A</b>,<b>C</b>,<b>E</b>) Mean arterial blood pressure (MABP); (<b>B</b>,<b>D</b>,<b>F</b>) heart rate (HR). (<b>A</b>,<b>B</b>) Complement depletion with CVF; (<b>C</b>,<b>D</b>) treatment with DF2593A; (<b>E</b>,<b>F</b>) treatment with SB290157. SB: SB290157; Veh: vehicle. * <span class="html-italic">p</span> &lt; 0.05. Vehicle- and CVF- or drug-treated groups were compared using two-way ANOVA for repeated measurements followed by Dunnett’s multiple comparison tests. Complement depletion with CVF lengthened the increase in MABP from min 8 after Abelcet administration, but did not alter HR. Treatment with DF2593A lengthened the increase in MABP from min 24 after Abelcet administration but did not alter HR. Treatment with SB290157 attenuated the increase in MABP at 1 and 2 min and from 15 min after Abelcet administration but did not alter HR.</p>
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<p>An original recording of effects of C3a (63–77) peptide at 31.25 and 62.5 µg/kg bolus i.v. doses on blood pressure and heart rate in anesthetized C57Bl/6n mice. Arrows indicate the time of C3a (63–77) peptide administrations. <b>Upper chart</b>: pulsatile blood pressure (PP); <b>Middle chart</b>: heart rate (HR); <b>Lower chart</b>: mean arterial blood pressure (MABP). C3a (63–77) peptide caused a transient increase in MABP and HR.</p>
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<p>Effects of macrophage depletion with clodronate liposomes and platelet glycoprotein IIb/IIIa receptor inhibition with eptifibatide on the Abelcet-induced changes in MABP and HR in anesthetized NMRI mice. The time of treatment with eptifibatide or its vehicle and Abelcet injection is indicated by arrows. Clodronate or empty liposomes were injected via the tail vein at 200 mL/mouse (containing 1 mg clodronate) two days before the experiment. (<b>A</b>,<b>C</b>) Mean arterial blood pressure (MABP); (<b>B</b>,<b>D</b>) heart rate (HR). (<b>A</b>,<b>B</b>) Macrophage depletion with clodronate liposomes; (<b>C</b>,<b>D</b>) treatment with eptifibatide. Veh: vehicle. * <span class="html-italic">p</span> &lt; 0.05. Vehicle- and clodronate- and eptifibatide-treated groups were compared using two-way ANOVA for repeated measurements followed by Dunnet’s multiple comparison tests. Macrophage depletion with clodronate liposomes lengthened the increase in MABP from min 12 after Abelcet administration, and decreased HR from 4 to 14 min after Abelcet administration. Treatment with eptifibatide lengthened the increase in MABP from 16 min after Abelcet administration but did not alter HR.</p>
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<p>Effects of Abelcet on MABP and HR in anesthetized, control a complement depleted cyclooxygenase-1 (COX-1) or thromboxane prostanoid receptor (TP)-deficient and wild type (WT) C57BL/6N mice. (<b>A</b>,<b>C</b>) Effects of Abelcet on mean arterial blood pressure (MABP) and (<b>B</b>,<b>D</b>) on heart rate (HR) in COX-1- or TP-deficient and WT C57BL/6N mice. (<b>A</b>,<b>B</b>) Effects of Abelcet on MABP and HR in complement depleted TP-deficient and WT C57BL/6N mice. Complement depletion was accomplished with pretreatment with cobra venom factor (CVF). * <span class="html-italic">p</span> &lt; 0.05 vs. wild type (WT) mice; # <span class="html-italic">p</span> &lt; 0.05 between TP- and COX-1-deficient mice. WT and TP- or COX-1-deficient or control and complement depleted groups were compared using two-way ANOVA for repeated measurements followed by Dunnet’s multiple comparison tests. The effects of Abelcet on mean arterial blood pressure (MABP) was almost fully abolished in COX-1-deficient mice but heart rate (HR) was not affected. The Abelcet-induced hypertension was reverted to a transient hypotension in TP-deficient mice but heart rate (HR) was not affected. Depletion of complement with CVF caused a delayed hypertension in TP-deficient mice from 8 min, and HR was also significantly increased from 14 min after Abelcet administration.</p>
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19 pages, 1450 KiB  
Review
Small Molecules and Immunotherapy Agents for Enhancing Radiotherapy in Glioblastoma
by Jennifer K. Matsui, Haley K. Perlow, Alex R. Ritter, Rituraj Upadhyay, Raju R. Raval, Evan M. Thomas, Sasha J. Beyer, Clement Pillainayagam, Justin Goranovich, Shirley Ong, Pierre Giglio and Joshua D. Palmer
Biomedicines 2022, 10(7), 1763; https://doi.org/10.3390/biomedicines10071763 - 21 Jul 2022
Cited by 8 | Viewed by 3541
Abstract
Glioblastoma (GBM) is an aggressive primary brain tumor that is associated with a poor prognosis and quality of life. The standard of care has changed minimally over the past two decades and currently consists of surgery followed by radiotherapy (RT), concomitant and adjuvant [...] Read more.
Glioblastoma (GBM) is an aggressive primary brain tumor that is associated with a poor prognosis and quality of life. The standard of care has changed minimally over the past two decades and currently consists of surgery followed by radiotherapy (RT), concomitant and adjuvant temozolomide, and tumor treating fields (TTF). Factors such as tumor hypoxia and the presence of glioma stem cells contribute to the radioresistant nature of GBM. In this review, we discuss the current treatment modalities, mechanisms of radioresistance, and studies that have evaluated promising radiosensitizers. Specifically, we highlight small molecules and immunotherapy agents that have been studied in conjunction with RT in clinical trials. Recent preclinical studies involving GBM radiosensitizers are also discussed. Full article
(This article belongs to the Special Issue Potent Agent Research for Glioblastoma Treatment)
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<p>TMZ replacing nitrosoureas as the standard chemotherapy agent for GBM.</p>
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<p>The conversion of gemcitabine to gemcitabine-5′-triphosphate before being incorporated into DNA and RNA, eventually leading to strand termination.</p>
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<p>Erlotinib reversibly inhibits EGFR tyrosine kinase activity, which prevents cell growth and proliferation of cancer cells.</p>
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<p>Small molecule inhibitors of mTOR.</p>
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<p>One proposed mechanism for tirapazamine-mediated DNA cleavage under hypoxic conditions.</p>
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<p>ATM inhibitors: AZD0156 was modified to AZD1390, an orally available compound with greater blood–brain barrier penetrance. The preserved core is highlighted in red.</p>
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15 pages, 1279 KiB  
Article
Hyperreactivity of Salivary Alpha-Amylase to Acute Psychosocial Stress and Norepinephrine Infusion in Essential Hypertension
by Lisa-Marie Walther, Roland von Känel, Claudia Zuccarella-Hackl and Petra H. Wirtz
Biomedicines 2022, 10(7), 1762; https://doi.org/10.3390/biomedicines10071762 - 21 Jul 2022
Cited by 3 | Viewed by 2421
Abstract
It is unknown whether the observed general physiological hyperreactivity to acute psychosocial stress in essential hypertension also extends to salivary alpha-amylase (sAA), a surrogate sympathetic nervous system marker. Here, we investigated sAA reactivity to acute psychosocial stress in essential hypertensive males (HT) as [...] Read more.
It is unknown whether the observed general physiological hyperreactivity to acute psychosocial stress in essential hypertension also extends to salivary alpha-amylase (sAA), a surrogate sympathetic nervous system marker. Here, we investigated sAA reactivity to acute psychosocial stress in essential hypertensive males (HT) as compared to normotensive controls (NT). To shed light on underlying mechanisms, we moreover tested for sAA reactivity following a standardized norepinephrine (NE) infusion. We hypothesized that both acute psychosocial stress and an NE infusion of similar duration would lead to greater sAA reactivity in HT than in NT. In the stress study, we examined sAA reactivity to 15 min of acute psychosocial stress induced by the Trier Social Stress Test (TSST) in 19 HT and 23 NT up to 40 min after stress. In the infusion study, 20 HT and 22 NT received a standardized NE infusion (5 μg/mL/min) over 15 min mimicking NE release in reaction to acute psychosocial stress. HT exhibited greater sAA reactivity to the TSST as compared to NT (p = 0.049, ηp2 = 0.08, f = 0.29). In reaction to the standardized NE infusion, HT showed higher sAA reactivity as compared to NT (p = 0.033, ηp2 = 1.00, f = 0.33). Our findings suggest stress-induced sAA hyperreactivity in essential hypertension that seems to be at least in part mediated by a higher reactivity to a standardized amount of NE in HT. With respect to clinical implications, sAA stress reactivity may serve as a noninvasive marker indicative of early cardiovascular risk. Full article
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<p>Stress study. Salivary alpha-amylase (sAA) reactivity to acute psychosocial stress in hypertensive individuals (black dots) and normotensive controls (white dots). Repeated measures ANCOVA revealed that hypertensive individuals showed higher sAA stress reactivity as compared to normotensive controls (<span class="html-italic">p</span> = 0.049). TSST = Trier Social Stress Test. Paragraphs (§) indicate significant differences between hypertensive and normotensive participants. Asterisks (*) indicate significant differences from baseline within the respective group.</p>
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<p>NE infusion study. Salivary alpha-amylase (sAA) reactivity to norepinephrine (NE) infusion with prior saline (Sal) infusion in hypertensive individuals (black dots) and normotensive controls (white dots). Repeated measures ANCOVA revealed that hypertensive individuals had higher sAA reactivity to NE infusion as compared to normotensive controls (<span class="html-italic">p</span> = 0.045). Paragraphs (§) indicate significant differences between hypertensive and normotensive participants. Asterisks (*) indicate significant differences from baseline within the respective group.</p>
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<p>Salivary alpha-amylase (sAA) output reactivity, i.e., sAA reactivity with control for salivary flow rate, to the TSST in hypertensive individuals (black dots) and normotensive controls (white dots). Repeated measures ANCOVA revealed that hypertensive individuals showed higher sAA output reactivity to the TSST as compared to normotensive controls (<span class="html-italic">p</span> = 0.046; with covariates age and BMI: <span class="html-italic">p</span> = 0.096). Paragraphs (§) indicate significant differences between hypertensive and normotensive participants. Asterisks (*) indicate significant differences from baseline within the respective group.</p>
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14 pages, 3017 KiB  
Article
Tumor Budding Is an Independent Prognostic Factor in Pancreatic Adenocarcinoma and It Positively Correlates with PD-L1 Expression on Tumor Cells
by Rafał Pęksa, Michał Kunc, Piotr Czapiewski, Michał Piątek, Stanisław Hać, Barbara Radecka and Wojciech Biernat
Biomedicines 2022, 10(7), 1761; https://doi.org/10.3390/biomedicines10071761 - 21 Jul 2022
Cited by 3 | Viewed by 2518
Abstract
Pancreatic adenocarcinoma is one of the leading causes of cancer-related death in developed countries. Only 15% of patients are candidates for radical surgery, and adequate prognostication may guide proper postsurgical management. We aimed to retrospectively assess the prognostic significance of the immunohistochemical expression [...] Read more.
Pancreatic adenocarcinoma is one of the leading causes of cancer-related death in developed countries. Only 15% of patients are candidates for radical surgery, and adequate prognostication may guide proper postsurgical management. We aimed to retrospectively assess the prognostic significance of the immunohistochemical expression of immune checkpoint receptors (PD-L1 and VISTA), markers of systemic inflammation, thrombosis in the tumor area, and the tumor budding in the group of 107 patients diagnosed with pancreatic adenocarcinoma in a single center. The high expression of PD-L1 on tumor cells (TCs) was associated with worse overall survival (OS, p = 0.041, log-rank). On the contrary, high PD-L1 or VISTA on tumor-associated immune cells (TAICs) was correlated with better OS (p = 0.006 and p = 0.008, respectively, log-rank). The joint status of PD-L1 on TCs and TAICs stratified patients into three prognostic groups. The cases with high-grade budding were characterized by higher PD-L1 expression on TCs (p = 0.008) and elevated systemic inflammatory markers. Moreover, budding was identified as the independent prognostic factor in multivariate Cox regression analysis (HR = 2.87; 95% CI = 1.75–4.68; p < 0.001). To conclude, the pattern of PD-L1 and VISTA expression was associated with survival in univariate analysis. Tumor budding accurately predicts outcomes in pancreatic cancer and should be incorporated into routine histopathological practice. Full article
(This article belongs to the Special Issue Advances on Pancreatic Cancer)
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<p>Representative examples of immunohistochemical stainings. (<b>A</b>) Intense, membranous PD-L1 reaction in pancreatic carcinoma cells with prominent budding; (<b>B</b>) high expression of PD-L1 restricted to TAICs and lack of reaction in TCs; (<b>C</b>) PD-L1 staining visible mainly in TAICs and in some TCs; (<b>D</b>) negative VISTA staining reaction in both TAICs and TCs; and (<b>E</b>,<b>F</b>) high expression of VISTA in the majority of TAICs and lack of reaction in TCs.</p>
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<p>Associations between markers of systemic inflammation and PD-L1 expression on tumor-associated immune cells (TAICs) (<b>A</b>–<b>C</b>) and tumor cells (TCs) (<b>D</b>–<b>F</b>). Blue and red boxes represent high and low expression of PD-L1, respectively. Grey dots represent individual measures.</p>
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<p>Association between PD-L1 and VISTA expression and the number of tumor buds (<b>A</b>–<b>C</b>). Blue and red boxes represent high and low expression of immune checkpoint receptors, respectively. Grey dots represent individual measures.</p>
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<p>The Kaplan–Meier plots for OS stratified by PD-L1 on TAICs (<b>A</b>), PD-L1 on TCs (<b>B</b>), combined PD-L1 on TAICs/TCs (<b>C</b>), and VISTA on TAICs expression (<b>D</b>) in pancreatic adenocarcinoma. <span class="html-italic">p</span>-values were calculated with log-rank.</p>
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<p>The Kaplan–Meier plots were stratified by budding grade (<b>A</b>), PLR values (<b>B</b>), and MLR values (<b>C</b>). <span class="html-italic">p</span>-values were calculated with log-rank.</p>
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25 pages, 2326 KiB  
Review
Biomarkers of Neurodegenerative Diseases: Biology, Taxonomy, Clinical Relevance, and Current Research Status
by Dorota Koníčková, Kateřina Menšíková, Lucie Tučková, Eva Hényková, Miroslav Strnad, David Friedecký, David Stejskal, Radoslav Matěj and Petr Kaňovský
Biomedicines 2022, 10(7), 1760; https://doi.org/10.3390/biomedicines10071760 - 21 Jul 2022
Cited by 36 | Viewed by 5449
Abstract
The understanding of neurodegenerative diseases, traditionally considered to be well-defined entities with distinguishable clinical phenotypes, has undergone a major shift over the last 20 years. The diagnosis of neurodegenerative diseases primarily requires functional brain imaging techniques or invasive tests such as lumbar puncture [...] Read more.
The understanding of neurodegenerative diseases, traditionally considered to be well-defined entities with distinguishable clinical phenotypes, has undergone a major shift over the last 20 years. The diagnosis of neurodegenerative diseases primarily requires functional brain imaging techniques or invasive tests such as lumbar puncture to assess cerebrospinal fluid. A new biological approach and research efforts, especially in vivo, have focused on biomarkers indicating underlying proteinopathy in cerebrospinal fluid and blood serum. However, due to the complexity and heterogeneity of neurodegenerative processes within the central nervous system and the large number of overlapping clinical diagnoses, identifying individual proteinopathies is relatively difficult and often not entirely accurate. For this reason, there is an urgent need to develop laboratory methods for identifying specific biomarkers, understand the molecular basis of neurodegenerative disorders and classify the quantifiable and readily available tools that can accelerate efforts to translate the knowledge into disease-modifying therapies that can improve and simplify the areas of differential diagnosis, as well as monitor the disease course with the aim of estimating the prognosis or evaluating the effects of treatment. The aim of this review is to summarize the current knowledge about clinically relevant biomarkers in different neurodegenerative diseases. Full article
(This article belongs to the Special Issue Molecular Basis of Neurodegenerative Diseases)
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<p>Neuropathological finding showing changes in Alzheimer’s disease. (<b>A</b>) Senile plaques in temporal cortex, immunohistochemically stained with β-amyloid antibodies, magnification 400×; (<b>B</b>) Neurofibrillary tangles, pretangles, and numerous threads in hippocampus, stained with monoclonal antibody (AT8) against phosphorylated tau protein, magnification 400×.</p>
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<p>Neuropathological finding showing changes in Parkinson’s disease. (<b>A</b>) Lewy body in a pigmented neuron substantia nigra, H&amp;E staining, original magnification 200×; (<b>B</b>) The spectrum of α-synuclein pathology in pons. Lewy bodies, neuronal granular cytoplasmic positivity and dystrophic neurites, stained with anti- α-syn monoclonal antibody, original magnification 200×.</p>
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<p>Neuropathological finding showing changes in multiple system atrophy. Typical alpha-synucleinopathy with oligodendroglial cytoplasmic inclusions in striatum, stained with anti- α-syn monoclonal antibody, original magnification 200×.</p>
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<p>Tau pathology spectrum in various brain areas in progressive supranuclear palsy. (<b>A</b>) Numerous threads, coiled bodies, and neurofibrillary tangles in subthalamic region, stained with monoclonal antibody (AT8) against hyperphosphorylated tau protein; (<b>B</b>) Tufted astrocytes in the basal ganglia, stained with monoclonal antibody (AT8) against pathologically changed tau protein; (<b>C</b>) Neurofibrillary tangles in the substantia nigra neurons, stained with monoclonal antibody (4RD) against tau protein, original magnification 100×.</p>
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<p>Neuropathological finding showing changes in FTLD-TDP. (<b>A</b>) Temporal cortex, numerous neuronal cytoplasmic inclusions in all layers of neocortex, stained with monoclonal antibody (phospho-TDP-43) against hyperphosphorylated TDP-43 protein, original magnification 40×; (<b>B</b>) cytoplasmic inclusions in residual neurons <span class="html-italic">nuclei nervi hypoglossi</span>, stained with monoclonal antibody (phospho-TDP-43) against pathologically changed TDP-43 protein, magnification 200×.</p>
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<p>Neuropathological finding showing changes corresponding to Creutzfeldt–Jakob disease. (<b>A</b>) Diffuse synaptic positivity, enhanced perivacuolar “patchy” positivity and “plaque-like” positive structures in cerebral cortex, stained with monoclonal antibody (12F10) against prion protein, original magnification 200×; (<b>B</b>,<b>C</b>) diffuse synaptic positivity and enhanced perivacuolar “patchy” positivity and “plaque-like” positive structures in striatum, stained with monoclonal antibody (6H4) against prion protein, original magnification 200× and H&amp;E staining, original magnification 100×.</p>
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13 pages, 2974 KiB  
Article
Impact of R-Carvedilol on β2-Adrenergic Receptor-Mediated Spontaneous Calcium Release in Human Atrial Myocytes
by Sergi Casabella-Ramón, Verónica Jiménez-Sábado, Carmen Tarifa, Sandra Casellas, Tien Tina Lu, Paloma Izquierdo-Castro, Ignasi Gich, Marcel Jiménez, Antonino Ginel, José M. Guerra, S. R. Wayne Chen, Raul Benítez and Leif Hove-Madsen
Biomedicines 2022, 10(7), 1759; https://doi.org/10.3390/biomedicines10071759 - 21 Jul 2022
Cited by 7 | Viewed by 2646
Abstract
A hallmark of atrial fibrillation is an excess of spontaneous calcium release events, which can be mimicked by β1- or β2-adrenergic stimulation. Because β1-adrenergic receptor blockers (β1-blockers) are primarily used in clinical practice, we here examined the impact of β2-adrenergic stimulation on spontaneous [...] Read more.
A hallmark of atrial fibrillation is an excess of spontaneous calcium release events, which can be mimicked by β1- or β2-adrenergic stimulation. Because β1-adrenergic receptor blockers (β1-blockers) are primarily used in clinical practice, we here examined the impact of β2-adrenergic stimulation on spontaneous calcium release and assessed whether the R- and S-enantiomers of the non-selective β- blocker carvedilol could reverse these effects. For this purpose, human atrial myocytes were isolated from patients undergoing cardiovascular surgery and subjected to confocal calcium imaging or immunofluorescent labeling of the ryanodine receptor (RyR2). Interestingly, the β2-adrenergic agonist fenoterol increased the incidence of calcium sparks and waves to levels observed with the non-specific β-adrenergic agonist isoproterenol. Moreover, fenoterol increased both the amplitude and duration of the sparks, facilitating their fusion into calcium waves. Subsequent application of the non β-blocking R-Carvedilol enantiomer reversed these effects of fenoterol in a dose-dependent manner. R-Carvedilol also reversed the fenoterol-induced phosphorylation of the RyR2 at Ser-2808 dose-dependently, and 1 µM of either R- or S-Carvedilol fully reversed the effect of fenoterol. Together, these findings demonstrate that β2-adrenergic stimulation alone stimulates RyR2 phosphorylation at Ser-2808 and spontaneous calcium release maximally, and points to carvedilol as a tool to attenuate the pathological activation of β2-receptors. Full article
(This article belongs to the Special Issue Beta-Adrenergic Receptors in Physiopathology)
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<p>Effect of fenoterol on calcium spark frequency and properties. (<b>A</b>) Calcium spark recordings in a patient before and after exposure to 3 µM Feno. Spark sites are marked with circles and the signal for each site is shown on the right. Impact of Feno on (<b>B</b>) spark density, (<b>C</b>) spark site density, (<b>D</b>) spark frequency per site. <span class="html-italic">p</span>-values in B–D were obtained using Wilcoxon rank sum exact test. (<b>E</b>) Distance to nearest neighbor (DNN). (<b>F</b>) Spark amplitude. (<b>G</b>) Rate of rise (RoR). (<b>H</b>) Decay time constant. (<b>I</b>) Full duration at half maximum (FDHM). (<b>J</b>) Spark mass. <span class="html-italic">p</span>-values in E–J were obtained using Student’s <span class="html-italic">t</span>-test. Statistically significant differences between pairs of bars are indicated with *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01; ***: <span class="html-italic">p</span> &lt; 0.001. Circles in (<b>B</b>–<b>J</b>) correspond with the values of individual data points. Number of cells/number of patients is given below bars.</p>
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<p>Effect of fenoterol on calcium wave frequency. (<b>A</b>) Recordings of a spontaneous calcium transient or wave before and after exposure to 3 µM Feno. Impact of Feno on (<b>B</b>) event frequency, (<b>C</b>) rate of rise of the calcium signal, (<b>D</b>) time integral of the calcium signal. <span class="html-italic">p</span>-values were obtained using Wilcoxon’s rank sum test. Statistically significant differences between pairs of bars are indicated with ***: <span class="html-italic">p</span> &lt; 0.001. Circles in (<b>B</b>–<b>D</b>) correspond with the values of individual data points. Number of cells/number of patients is given below bars.</p>
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<p>Effect of R-Carvedilol on calcium spark frequency and properties. Calcium spark frequency and properties were recorded in myocytes after addition of Feno and increasing doses of R-Carv (given below bars). (<b>A</b>) Spark density. (<b>B</b>) Spark site density. (<b>C</b>) Spark frequency per site. <span class="html-italic">p</span>-values in A–C were obtained using Kruskal–Wallis test followed by Bonferroni-adjusted multiple comparisons. (<b>D</b>) Distance to nearest neighbor (DNN). (<b>E</b>) Spark amplitude. (<b>F</b>) Decay time constant. (<b>G</b>) Full duration at half maximum (FDHM). (<b>H</b>) Spark mass. Data are from 45 cells/11 patients. <span class="html-italic">p</span>-values in D–H were obtained using ANOVA test followed by Tukey’s multiple comparisons test. Statistically significant differences between pairs of bars are indicated with *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01; ***: <span class="html-italic">p</span> &lt; 0.001. Solid lines represent fitting using a Hill equation. Dashed lines represent mean values recorded in control conditions before exposure to Feno. Circles in (<b>A</b>–<b>H</b>) correspond with the values of individual data points.</p>
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<p>Effect of R-Carvedilol on calcium wave frequency and properties. The frequency and properties of spontaneous calcium transients or waves were recorded in myocytes after addition of Feno and increasing doses of R-Carv (given below bars). (<b>A</b>) Event frequency. (<b>B</b>) Rate of rise of the calcium signal. (<b>C</b>) Time integral of the calcium signal. Data are from 40 cells/10 patients. <span class="html-italic">p</span>-values were obtained using ANOVA test with Welch correction followed by Bonferroni-adjusted multiple comparisons. Statistically significant differences between pairs of bars are indicated with *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01. Solid lines represent fitting using a Hill equation. Circles in (<b>A</b>–<b>C</b>) correspond with the values of individual data points.</p>
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<p>Effect of R- or S-Carvedilol on RyR2 phosphorylation at Ser-2808. (<b>A</b>) Overlay of total RyR2 (green) and Ser-2808-phosphorylated RyR2 (red) for different R-Carv concentrations (given below images). (<b>B</b>) Mean RyR2 phosphorylation at Ser-2808 determined as the fluorescence intensity ratio (Ser-2808/RyR2). (<b>C</b>) Overlay of total RyR2 (green) and Ser-2808-phosphorylated RyR2 (red) for 3 µM R- and S-Carv. (<b>D</b>) Mean RyR2 phosphorylation at Ser-2808 determined as the fluorescence intensity ratio (Ser-2808/RyR2). The number of cells/number of patients is given for each bar. Statistical significance was determined using a one-way ANOVA followed by Tukey’s multiple comparison test. Statistically significant differences between pairs of bars are indicated with *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01; ***: <span class="html-italic">p</span> &lt; 0.001. Circles in (<b>B</b>,<b>D</b>) correspond with the values of individual data points. Number of patients is given for each bar.</p>
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14 pages, 2658 KiB  
Article
Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels
by Bassel Mansour, Ádám Monyók, Márió Gajdács, Balázs Stercz, Nóra Makra, Kinga Pénzes, István Vadnay, Dóra Szabó and Eszter Ostorházi
Biomedicines 2022, 10(7), 1758; https://doi.org/10.3390/biomedicines10071758 - 21 Jul 2022
Cited by 10 | Viewed by 2455
Abstract
Balance between the microbiome associated with bladder mucosa and human beta defensin (HBD) levels in urine is a dynamic, sensitive and host-specific relationship. HBD1—possessing both antitumor and antibacterial activity—is produced constitutively, while the inducible production of antibacterial HBD2 and HBD3 is affected by [...] Read more.
Balance between the microbiome associated with bladder mucosa and human beta defensin (HBD) levels in urine is a dynamic, sensitive and host-specific relationship. HBD1—possessing both antitumor and antibacterial activity—is produced constitutively, while the inducible production of antibacterial HBD2 and HBD3 is affected by bacteria. Elevated levels of HBD2 were shown to cause treatment failure in anticancer immunotherapy. Our aim was to assess the relationship between microbiome composition characteristic of tumor tissue, defensin expression and HBD levels measured in urine. Tissue samples for analyses were removed during transurethral resection from 55 bladder carcinoma and 12 prostatic hyperplasia patients. Microbiome analyses were carried out with 16S rRNS sequencing. Levels of HBD mRNA expression were measured with qPCR from the same samples, and urinary amounts of HBD1, 2 and 3 were detected with ELISA in these patients, in addition to 34 healthy volunteers. Mann–Whitney U test, Wilcoxon rank sum test (alpha diversity) and PERMANOVA analysis (beta diversity) were performed. Defensin-levels expressed in the tumor did not clearly determine the amount of defensin measurable in the urine. The antibacterial and antitumor defensin (HBD1) showed decreased levels in cancer patients, while others (HBD2 and 3) were considerably increased. Abundance of Staphylococcus, Corynebacterium and Oxyphotobacteria genera was significantly higher, the abundance of Faecalibacterium and Bacteroides genera were significantly lower in tumor samples compared to non-tumor samples. Bacteroides, Parabacteroides and Faecalibacterium abundance gradually decreased with the combined increase in HBD2 and HBD3. Higher Corynebacterium and Staphylococcus abundances were measured together with higher HBD2 and HBD3 urinary levels. Among other factors, defensins and microorganisms also affect the development, progression and treatment options for bladder cancer. To enhance the success of immunotherapies and to develop adjuvant antitumor therapies, it is important to gain insight into the interactions between defensins and the tumor-associated microbiome. Full article
(This article belongs to the Section Microbiology in Human Health and Disease)
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<p>Comparison of tissue microbiome composition of bladder cancer (BC) and prostatic hyperplasia (PH) patients. (<b>A</b>) Chao1 alpha diversity at genus level, (<b>B</b>) Jaccard beta diversity at genus level, (<b>C</b>) taxa abundance in cohorts at phylum level, (<b>D</b>) taxa abundance in cohorts at genus level.</p>
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<p>Heatmap visualization of the most abundant taxa at genus level among the BC and PH patients. The samples of the PH and BC groups are sharply separated; additionally, 9 samples of the BC group were detached in which some specific genera showed a remarkably high presence.</p>
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<p>Relationship between characteristics of BC patients and microbiome beta diversity The Jaccard beta diversity graph for tumor samples shows two well-separated clusters, but the following properties alone do not show any correlation with cluster classification, (<b>A</b>) smoking habit, (<b>B</b>) hypertension, (<b>C</b>) diabetes mellitus, (<b>D</b>) grade of the cancer, (<b>E</b>) stage of the cancer. (<b>F</b>) There is a significant difference in the classification of female and male tissue samples into microbiome clusters.</p>
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<p>Defensin mRNA expression RQ values from tissue samples and the amounts of HBDs measured in the urine samples. (<b>A</b>) HBD1 RQ in tissue samples, (<b>B</b>) HBD1 levels in urine samples, (<b>C</b>) HBD2 RQ in tissue samples, (<b>D</b>) HBD2 levels in urine samples, (<b>E</b>) HBD3 RQ in tissue samples, (<b>F</b>) HBD3 levels in urine samples. BC: bladder cancer patients, PH: prostatic hyperplasia patients, HV: healthy volunteers.</p>
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<p>Correlation between the amount of defensins in urine and the abundance of the characteristic genera in BC tissue microbiome. (<b>A</b>) Oxyphotobacteria is the only genus whose occurrence differs significantly from the quantitative change in HBD1, Oxyphotobacteria is present only at low HBD1 levels. There is no significant difference due to the amount of (<b>B</b>) HBD2 or (<b>C</b>) HBD3 alone in the abundance of the genera in the BC tissue microbiome. (<b>D</b>) The combined increase in HBD2 and HBD3 levels reduces the abundance of non-tumor specific genera (Bacteroides, Parabacteroides, Faecalibacterium) and increases the abundance of more common in-tumor tissue genera (Staphylococcus, Corynebacterium).</p>
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18 pages, 5272 KiB  
Review
The Thioredoxin System of Mammalian Cells and Its Modulators
by Aseel Ali Hasan, Elena Kalinina, Victor Tatarskiy and Alexander Shtil
Biomedicines 2022, 10(7), 1757; https://doi.org/10.3390/biomedicines10071757 - 21 Jul 2022
Cited by 41 | Viewed by 5153
Abstract
Oxidative stress involves the increased production and accumulation of free radicals, peroxides, and other metabolites that are collectively termed reactive oxygen species (ROS), which are produced as by-products of aerobic respiration. ROS play a significant role in cell homeostasis through redox signaling and [...] Read more.
Oxidative stress involves the increased production and accumulation of free radicals, peroxides, and other metabolites that are collectively termed reactive oxygen species (ROS), which are produced as by-products of aerobic respiration. ROS play a significant role in cell homeostasis through redox signaling and are capable of eliciting damage to macromolecules. Multiple antioxidant defense systems have evolved to prevent dangerous ROS accumulation in the body, with the glutathione and thioredoxin/thioredoxin reductase (Trx/TrxR) systems being the most important. The Trx/TrxR system has been used as a target to treat cancer through the thiol–disulfide exchange reaction mechanism that results in the reduction of a wide range of target proteins and the generation of oxidized Trx. The TrxR maintains reduced Trx levels using NADPH as a co-substrate; therefore, the system efficiently maintains cell homeostasis. Being a master regulator of oxidation–reduction processes, the Trx-dependent system is associated with cell proliferation and survival. Herein, we review the structure and catalytic properties of the Trx/TrxR system, its role in cellular signaling in connection with other redox systems, and the factors that modulate the Trx system. Full article
(This article belongs to the Special Issue Oxidative Stress– and Redox–Based Therapeutic Strategy in Cancers)
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<p>Translocation of Trx-1 and Nrf2 from the cytoplasm to the nucleus after exposure to oxidative stress. Trx1 nuclear translocation activates the transcription factor Nrf2. The activity of Trx-1 is inhibited by Txnip. Nrf2 can regulate the transcription of different target gene groups, including redox homeostasis (<span class="html-italic">NQO1</span>, <span class="html-italic">HO1</span>, <span class="html-italic">GCLC</span>, <span class="html-italic">GCLM</span>, <span class="html-italic">GSR1</span>, <span class="html-italic">GPX2</span>, <span class="html-italic">PRDX1</span>, <span class="html-italic">PRDX6</span>, <span class="html-italic">SLC7A11</span>, <span class="html-italic">TXN</span>, <span class="html-italic">TXNRD1</span>, <span class="html-italic">TXNIP</span>, and <span class="html-italic">SRX1</span>), pentose phosphate pathway (PPP) metabolism, NADPH synthesis (<span class="html-italic">G6PDH</span>, <span class="html-italic">ME1</span>, <span class="html-italic">PGD</span>, and <span class="html-italic">IDH1</span>), detoxification (<span class="html-italic">AKR1B3</span>, <span class="html-italic">GSTA1</span>, <span class="html-italic">GSTA2</span>, <span class="html-italic">GSTA3</span>, <span class="html-italic">GSTM1</span>, <span class="html-italic">GSTM2</span>, <span class="html-italic">GSTM3</span>, <span class="html-italic">GSTM4</span>, <span class="html-italic">GSTP1</span>, <span class="html-italic">PGD</span>, <span class="html-italic">PTGR1</span>, <span class="html-italic">MRP4</span>, and <span class="html-italic">MRP5</span>), and protein turnover (<span class="html-italic">PSMA1</span>, <span class="html-italic">PSMB5</span>, and <span class="html-italic">SQSTM1</span>) genes.</p>
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20 pages, 1927 KiB  
Review
The Involvement of Polyamines Catabolism in the Crosstalk between Neurons and Astrocytes in Neurodegeneration
by Manuela Cervelli, Monica Averna, Laura Vergani, Marco Pedrazzi, Sarah Amato, Cristian Fiorucci, Marianna Nicoletta Rossi, Guido Maura, Paolo Mariottini, Chiara Cervetto and Manuela Marcoli
Biomedicines 2022, 10(7), 1756; https://doi.org/10.3390/biomedicines10071756 - 21 Jul 2022
Cited by 17 | Viewed by 3751
Abstract
In mammalian cells, the content of polyamines is tightly regulated. Polyamines, including spermine, spermidine and putrescine, are involved in many cellular processes. Spermine oxidase specifically oxidizes spermine, and its deregulated activity has been reported to be linked to brain pathologies involving neuron damage. [...] Read more.
In mammalian cells, the content of polyamines is tightly regulated. Polyamines, including spermine, spermidine and putrescine, are involved in many cellular processes. Spermine oxidase specifically oxidizes spermine, and its deregulated activity has been reported to be linked to brain pathologies involving neuron damage. Spermine is a neuromodulator of a number of ionotropic glutamate receptors and types of ion channels. In this respect, the Dach-SMOX mouse model overexpressing spermine oxidase in the neocortex neurons was revealed to be a model of chronic oxidative stress, excitotoxicity and neuronal damage. Reactive astrocytosis, chronic oxidative and excitotoxic stress, neuron loss and the susceptibility to seizure in the Dach-SMOX are discussed here. This genetic model would help researchers understand the linkage between polyamine dysregulation and neurodegeneration and unveil the roles of polyamines in the crosstalk between astrocytes and neurons in neuroprotection or neurodegeneration. Full article
(This article belongs to the Special Issue State of the Art: Neurodegenerative Diseases in Italy)
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<p>Enzymes involved in PA biosynthesis (encircled) and catabolism (boxed). ODC, ornithine decarboxylase enzyme; PAOX, N1-acetylpolyamine oxidase; SAT1, spermidine/spermine N1-acetyltransferase; SMS, spermine synthase; SRM, spermidine synthase. The enzyme spermine oxidase (SMOX), which is overexpressed in the Dach-SMOX mice model, is highlighted in red.</p>
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<p>Spermine oxidase chemical reaction. Spermine (Spm) is oxidized to produce spermidine (Spd), 3-aminopropanal (3-AP) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>).</p>
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<p>Schematic representation of the major mechanisms involved in neuronal damage resulting from polyamine dyshomeostasis in the central nervous system. Polyamine dyshomeostasis-dependent mechanisms that have been suggested to play pivotal roles in representative relevant diseases are also highlighted. AD, Alzheimer’s disease; DR, diabetic retinopathy; HIV D, HIV-associated dementia; PD, Parkinson’s disease.</p>
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<p>SMOX overexpression in neurons resulted in chronic oxidative and excitotoxic stress and in neuron loss. Schematic representation of the main mechanisms taking place at cerebrocortical glutamatergic synapses in the SMOX-overexpressing mouse model. NeuN positive cells were reduced [<a href="#B37-biomedicines-10-01756" class="html-bibr">37</a>,<a href="#B121-biomedicines-10-01756" class="html-bibr">121</a>], and a relative increase in the abundance of astrocyte processes and a decrease in nerve terminals (an increase in GFAP, ezrin and vimentin-positive cells vs. a reduction in synaptophysin and NeuN-positive cells) were found. SMOX overexpression in neurons leads to oxidative stress in neurons, increased by an ROS response in astrocytes and leading to the depletion of catalase (a reduction in the antioxidant defence in nerve terminals). A defective control of the AMPA-evoked intracellular Ca<sup>2+</sup> response in the nerve terminals can exacerbate the reactive astrocytes-dependent excitotoxic mechanism activation. For further details, see the text. AMPA, alpha-amino-3-hydroxy-5-methyl-4-isoxazole-propionic acid receptor; Glu, glutamate; SMOX, spermine oxidase; Spm, spermine.</p>
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12 pages, 1478 KiB  
Article
Conventional and Resin-Modified Glass Ionomer Cement Surface Characteristics after Acidic Challenges
by Irina Nica, Simona Stoleriu, Alexandru Iovan, Ionuț Tărăboanță, Galina Pancu, Nicoleta Tofan, Răzvan Brânzan and Sorin Andrian
Biomedicines 2022, 10(7), 1755; https://doi.org/10.3390/biomedicines10071755 - 21 Jul 2022
Cited by 10 | Viewed by 3014
Abstract
The aim of the present study was to assess by atomic force microscopy (AFM) the surface roughness of a traditional glass ionomer cement- GIC (Fuji IX GP, GC Corporation, Tokyo, Japan) and a resin modified glass ionomer cement- RMGIC (Vitremer, 3M ESPE, St. [...] Read more.
The aim of the present study was to assess by atomic force microscopy (AFM) the surface roughness of a traditional glass ionomer cement- GIC (Fuji IX GP, GC Corporation, Tokyo, Japan) and a resin modified glass ionomer cement- RMGIC (Vitremer, 3M ESPE, St. Paul, MN, USA) after different immersion regimes on some acidic drinks. Sixteen cylindrical samples having the height of 5 mm and the thickness of 2 mm were obtained from each material and they were divided into two groups: Group I (Fuji IX samples) and Group II (Vitremer samples). Specimens of each group were then randomly divided into 4 subgroups: subgroup A (control)—15 samples were kept in artificial saliva and in the other three subgroups, each having 15 samples the samples were immersed in Coca-Cola (subgroup B), Cappy lemonade and mint (subgroup C) and Fuzetea (subgroup D) for 7 days (subgroups A1–D1), 14 days (subgroups A2–D2), and 21 days (subgroups A3–D3). AFM qualitative and quantitative surface evaluation (mean value of surface roughness parameter, Sa) of each sample was performed. The highest surface roughness was determined when both materials were submerged 14 days in acidic drinks. Traditional GIC was more affected by acidic environment when comparing to RMGIC. Full article
(This article belongs to the Special Issue Modern Polymers for Dental Application)
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<p>Study design.</p>
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<p>Atomic force microscope technical specifications of scan heads.</p>
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<p>AFM 3D surface topography images of Fuji IX samples after 7, 14, and 21 days of immersion in artificial saliva (subgroups A1–A3), Coca-Cola (subgroups B1–B3), Cappy Lemonade (subgroups C1–C3), and Fuzetea (subgroups D1–D3).</p>
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<p>AFM 3D surface topography images of Vitremer samples after 7, 14, and 21 days of immersion in artificial saliva (subgroups A1–A3), Coca-Cola (subgroups B1–B3), Cappy Lemonade (subgroups C1–C3), and Fuzetea (subgroups D1–D3).</p>
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17 pages, 1047 KiB  
Review
Endothelial Nitric Oxide Synthase in the Perivascular Adipose Tissue
by Andy W. C. Man, Yawen Zhou, Ning Xia and Huige Li
Biomedicines 2022, 10(7), 1754; https://doi.org/10.3390/biomedicines10071754 - 21 Jul 2022
Cited by 18 | Viewed by 3215
Abstract
Perivascular adipose tissue (PVAT) is a special type of ectopic fat depot that adheres to most vasculatures. PVAT has been shown to exert anticontractile effects on the blood vessels and confers protective effects against metabolic and cardiovascular diseases. PVAT plays a critical role [...] Read more.
Perivascular adipose tissue (PVAT) is a special type of ectopic fat depot that adheres to most vasculatures. PVAT has been shown to exert anticontractile effects on the blood vessels and confers protective effects against metabolic and cardiovascular diseases. PVAT plays a critical role in vascular homeostasis via secreting adipokine, hormones, and growth factors. Endothelial nitric oxide synthase (eNOS; also known as NOS3 or NOSIII) is well-known for its role in the generation of vasoprotective nitric oxide (NO). eNOS is primarily expressed, but not exclusively, in endothelial cells, while recent studies have identified its expression in both adipocytes and endothelial cells of PVAT. PVAT eNOS is an important player in the protective role of PVAT. Different studies have demonstrated that, under obesity-linked metabolic diseases, PVAT eNOS may be even more important than endothelium eNOS in obesity-induced vascular dysfunction, which may be attributed to certain PVAT eNOS-specific functions. In this review, we summarized the current understanding of eNOS expression in PVAT, its function under both physiological and pathological conditions and listed out a few pharmacological interventions of interest that target eNOS in PVAT. Full article
(This article belongs to the Special Issue Role of NO in Disease: Good, Bad or Ugly)
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<p>The crosstalk between PVAT and the vessel wall modulates vascular functions. PVAT releases vasoactive molecules, hormones, adipokines, and microvesicles. PVAT-derived relaxing factors (PVRFs) include leptin and adiponectin, hydrogen sulphide (H<sub>2</sub>S), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), prostaglandins, NO, and angiotensin (Ang) 1–7. PVAT-derived contracting factors (PVCFs) include chemerin, calpastatin, 5-hydroxytryptamine (5-HT), norepinephrine (NE), AngII, and ROS. These factors from PVAT may reach the endothelial layer of blood vessels by either direct diffusion or via vasa vasorum or small media conduit networks connecting the medial layer with the underlying adventitia and modulate vasodilation and vasocontraction. PVAT plays a critical role in vascular homeostasis via secreting adipokine, hormones, and growth factors to modulate the proliferation of VSMCs. Adipocytes from PVAT also secrete different types of extracellular vesicles, including exosomes and microvesicles, which have also been shown to trigger early vascular remodeling in vascular inflammation. Under pathological conditions, PVAT becomes dysfunctional, and the secretion of the PVAT-derived factor becomes imbalanced which could exert detrimental effects on vascular homeostasis and lead to vascular remodeling and arterial stiffening.</p>
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<p>PVAT eNOS is an important modulator of vascular functions. Under HFD-induced obesity, the activity and expression of PVAT eNOS is significantly downregulated. PVAT eNOS may be even more important than endothelium eNOS in obesity-induced vascular dysfunction. Under normal condition, PVAT eNOS has multiple roles in regulating PVAT and vascular functions. PVAT eNOS can generate NO and regulate vasodilation via endothelium-dependent and endothelium-independent mechanisms. NO generated from PVAT eNOS can diffuse to the endothelium and activate EC, or directly activate sGC in the VSMC to evoke vasodilation. NO generated from PVAT eNOS can prevent vascular remodeling and stiffening via inhibiting VSMC proliferation and differentiation. PVAT eNOS is also responsible for modulating mitochondria biogenesis and browning of adipocytes in PVAT. In addition, NO generated from PVAT eNOS may regulate protein activities via SNO modification. Moreover, eNOS may, via protein–protein interactions and NO production, modulate miRNA-encapsulated microvesicles trafficking across PVAT. PVAT eNOS have a bidirectional regulation with adiponectin. Adiponectin is an important adipokine that modulates vascular functions via activating eNOS in both PVAT and EC. Current therapeutical strategies targeting PVAT eNOS include enhancing eNOS activity by phosphorylation, promoting deacetylation of eNOS via activation of SIRT1, activation of upstream kinase of eNOS (Akt, AMPK), and exercise training. AMPK, AMP-activated protein kinase; eNOS, endothelial nitric oxide synthase; EC, endothelial cell; HFD, high fat diet; NO, nitric oxide; PVAT, perivascular adipose tissue; sGC, soluble guanylyl cyclase; SNO, S-nitrosylation; VSMC, vascular smooth muscle cell.</p>
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26 pages, 4873 KiB  
Article
A Quantitative Digital Analysis of Tissue Immune Components Reveals an Immunosuppressive and Anergic Immune Response with Relevant Prognostic Significance in Glioblastoma
by Miguel A. Idoate Gastearena, Álvaro López-Janeiro, Arturo Lecumberri Aznarez, Iñigo Arana-Iñiguez and Francisco Guillén-Grima
Biomedicines 2022, 10(7), 1753; https://doi.org/10.3390/biomedicines10071753 - 21 Jul 2022
Cited by 7 | Viewed by 2435
Abstract
Objectives: Immunostimulatory therapies using immune checkpoint blockers show clinical activity in a subset of glioblastoma (GBM) patients. Several inhibitory mechanisms play a relevant role in the immune response to GBM. With the objective of analyzing the tumor immune microenvironment and its clinical [...] Read more.
Objectives: Immunostimulatory therapies using immune checkpoint blockers show clinical activity in a subset of glioblastoma (GBM) patients. Several inhibitory mechanisms play a relevant role in the immune response to GBM. With the objective of analyzing the tumor immune microenvironment and its clinical significance, we quantified several relevant immune biomarkers. Design: We studied 76 primary (non-recurrent) GBMs with sufficient clinical follow-up, including a subgroup of patients treated with a dendritic cell vaccine. The IDH-mutation, EGFR-amplification, and MGMT methylation statuses were determined. Several relevant immune biomarkers, including CD163, CD8, PD1, and PDL1, were quantified in representative selected areas by digital image analysis and semiquantitative evaluation. The percentage of each immune expression was calculated with respect to the total number of tumor cells. Results: All GBMs were wild-type IDH, with a subgroup of classical GBMs according to the EGFR amplification (44%). Morphologically, CD163 immunostained microglia and intratumor clusters of macrophages were observed. A significant direct correlation was found between the expression of CD8 and the mechanisms of lymphocyte immunosuppression, in such a way that higher values of CD8 were directly associated with higher values of CD163 (p < 0.001), PDL1 (0.026), and PD1 (0.007). In a multivariate analysis, high expressions of CD8+ (HR = 2.05, 95%CI (1.02–4.13), p = 0.034) and CD163+ cells (HR 2.50, 95%CI (1.29–4.85), p = 0.007), were associated with shorter survival durations. The expression of immune biomarkers was higher in the non-classical (non-EGFR amplified tumors) GBMs. Other relevant prognostic factors were age, receipt of the dendritic cell vaccine, and MGMT methylation status. Conclusions: In accordance with the inverse correlation between CD8 and survival and the direct correlation between effector cells and CD163 macrophages and immune-checkpoint expression, we postulate that CD8 infiltration could be placed in a state of anergy or lymphocytic inefficient activity. Furthermore, the significant inverse correlation between CD163 tissue concentration and survival explains the relevance of this type of immune cell when creating a strong immunosuppressive environment. This information may potentially be used to support the selection of patients for immunotherapy. Full article
(This article belongs to the Section Immunology and Immunotherapy)
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<p>Hot spots, i.e., stained areas with 240 μm radii were considered for CD8, CD163, and PD1, and with 125 μm radii for PDL1. Brown color represents immunostained cells and blue color counterstained nuclei stained with counterstained with Harris hematoxylin.</p>
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<p>Representation of the gradation of CD163 immunostained cells in GBM, which represents a gradual transition between microglia and macrophages. The different grades of CD163, according to both phenotype and cell density (grades 0 to 3), are shown. The morphological changes clearly support the transformation of microglia into macrophages. The grading shows both the morphology of the immunostained cells and the cell density. (<b>A</b>) In grade 0, few quiescent cells corresponding to microglia are observed. Immunostained cells show thin and short expansions. (<b>B</b>) In grade 1, the microglia show long and thicker expansions simulating dendritic cells, and the cell density is higher than in grade 0. (<b>C</b>) In grade 2, microglia cells are larger and show short expansions. The cell density is higher than in grade 1. (<b>D</b>) In grade 3, microglia adopt a round shape without expansions (macrophage phenotype) and form dense aggregates. It can be observed that immunostained cells acquire a round shape and a shortness of dendritic expansions according to a number of immunostained cells. Scale bar: 60 μm (<b>E</b>) Note that CD163 immunostained cells form very compact aggregates of macrophages encircling tumor cells. (<b>F</b>) A dense aggregate of macrophages is shown in the bottom right of the photograph, forming a so-called “immune barrier” (asterisk). Most of the nuclei counterstained with Harris hematoxylin (blue color) correspond to tumor cells, ×200. Scale bar: 60 μm).</p>
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<p>Examples of quantification by computer-assisted image analysis of tumor-infiltrating lymphocytes (TILs). (<b>Left</b>) Examples of immunostained PDL1 and CD8 cells (brown color) and how they are recognized by digital analysis (red color). Blue color represents non-selected cells. Scale bar: 60 μm (<b>Right</b>) Distribution of values of CD163, CD8, PDL1, and PD1 stained cell image processing.</p>
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<p>Different representative examples of immunohistochemistry against immune cells. (<b>A</b>) PDL1 expression in the tumor cells. Black arrows mark two of these cells (immunostaining against PDL1, ×200. Scale bar: 60 μm). (<b>B</b>) Membrane immunostaining with cytoplasmic focal expression against PDL1 in glioblastoma cells (black arrow). Most of the slightly immunostained cells (red arrow) correspond to macrophages (immunostaining against PDL1, ×400. Scale bar: 30 μm). (<b>C</b>) PD1 immune expression in lymphocytes (black arrow), immunostaining against PD1, ×200. Scale bar: 60 μm). (<b>D</b>) Dense CD8 intratumoral immunostained cells (red arrow). Black arrow shows a tumor cell (immunostaining against CD8, ×200. Scale bar: 60 μm). (<b>E</b>) Dense CD163 infiltration corresponding to M2 macrophages (small arrow) and tumor cells (big arrow), (immunostaining against CD163, ×200. Scale bar: 60 μm). (<b>F</b>) Amplified EGFR gene (black spots) in tumor cells corresponding to a classical GBM. The black arrow indicates a tumor cell. (Silver in situ hybridization (SISH) against EGFR, ×200. Scale bar: 60 μm).</p>
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<p>Comparison of the percentages of CD163, CD8, PDL1, and PD1 by molecular subtype (non-EGFR-amplified/non-IDH-mutated versus EGFR-amplified GBM) based on the Student’s <span class="html-italic">t</span>-test (<b>A</b>) and on the Mann–Whitney test (<b>B</b>–<b>D</b>). The Student’s <span class="html-italic">t</span>-test and Mann–Whitney are presented with their corresponding <span class="html-italic">p</span>-values and according to the mean or median values. Graphs are shown with box/violin plots. The percentages of CD163, CD8, PDL1, and PD1 were compared by molecular subtype. It is shown that CD163 exhibited significant differences in the means with a <span class="html-italic">p</span>-value of 0.035 and with means of 12.62% for EGFR/non-IDH vs. 8.51% for EGFR-amplified GBM. No significant differences were observed for CD8, PDL1, or PD1.</p>
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<p>Comparison of the percentages of CD163, CD8, PDL1, and PD1 by molecular subtype (non-EGFR-amplified/non-IDH-mutated versus EGFR-amplified GBM) based on the Student’s <span class="html-italic">t</span>-test (<b>A</b>) and on the Mann–Whitney test (<b>B</b>–<b>D</b>). The Student’s <span class="html-italic">t</span>-test and Mann–Whitney are presented with their corresponding <span class="html-italic">p</span>-values and according to the mean or median values. Graphs are shown with box/violin plots. The percentages of CD163, CD8, PDL1, and PD1 were compared by molecular subtype. It is shown that CD163 exhibited significant differences in the means with a <span class="html-italic">p</span>-value of 0.035 and with means of 12.62% for EGFR/non-IDH vs. 8.51% for EGFR-amplified GBM. No significant differences were observed for CD8, PDL1, or PD1.</p>
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<p>Correlation between CD163 and survival is shown. Kaplan–Meier graph showing overall survival according to the cut-off of quantitatively assessed CD163 immunostaining based on the log-rank test. For the cut-off point of the CD163 percentage, significant differences were observed in the survival curves, with a <span class="html-italic">p</span>-value 0.012, where values &lt;p50 (10.48%) presented better survival compared to values ≥p50 (10.48%). The colored bands represent the confidence intervals of the survival curves for each cut-off point.</p>
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<p>Correlation between CD8 and survival is demonstrated. Kaplan–Meier graph showing overall survival in our cohort according to the cut-point of quantitatively assessed CD8 immunostaining based on the Gehan–Wilcoxon test. At the cut-off point for the CD8 percentage, significant differences were observed in the survival curves, with a <span class="html-italic">p</span>-value of 0.023, where values &lt;p50 (1.18%) presented better survival compared to values ≥p50 (1.18%). It is observed that higher CD8 values inversely correlated significantly with a worse overall survival. The colored bands represent confidence intervals of the survival curves for each cut-off point.</p>
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<p>Correlation between MGMT methylation status and survival is shown in this graph. Kaplan–Meier graph showing overall survival in our cohort according to the status of MGMT methylation based on the Gehan–Wilcoxon test. When comparing the survival curves for the presence or absence of MGMT methylation, a <span class="html-italic">p</span>-value of 0.058 was observed. Consequently, the presence of methylation presented better survival than non-methylation. The colored bands represent confidence intervals of the survival curves for each cut-off point.</p>
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<p>Kaplan–Meier graph showing overall survival in our cohort according to age, with a cut-off of 60 years old based on the log-rank test. By age group, significant differences were observed in the survival curves, with a <span class="html-italic">p</span>-value of 0.0064, where patients ≤60 years had better survival than those &gt;60 years. It is observed that being older than 60 years correlated significantly with a worse overall survival. The colored bands represent confidence intervals of the survival curves for each cut-off point.</p>
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<p>A significant correlation between dendritic cell vaccination and survival was found. Kaplan–Meier graph showing overall survival in our cohort according to dendritic cell vaccination status based on the Gehan–Wilcoxon test. It is observed that vaccination correlated significantly with a better overall survival. Survival curves by dendritic cell vaccination status were compared, and significant differences were observed, with a <span class="html-italic">p</span>-value of 0.01, where vaccination presented better survival compared to no vaccination. The colored bands represent confidence intervals of the survival curves for each cut-off point.</p>
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22 pages, 4311 KiB  
Article
Enhancement of Osteoblast Function through Extracellular Vesicles Derived from Adipose-Derived Stem Cells
by Mei-Ling Ho, Chin-Jung Hsu, Che-Wei Wu, Ling-Hua Chang, Jhen-Wei Chen, Chung-Hwan Chen, Kui-Chou Huang, Je-Ken Chang, Shun-Cheng Wu and Pei-Lin Shao
Biomedicines 2022, 10(7), 1752; https://doi.org/10.3390/biomedicines10071752 - 21 Jul 2022
Cited by 9 | Viewed by 3541
Abstract
Adipose-derived stem cells (ADSCs) are a type of mesenchymal stem cell that is investigated in bone tissue engineering (BTE). Osteoblasts are the main cells responsible for bone formation in vivo and directing ADSCs to form osteoblasts through osteogenesis is a research topic in [...] Read more.
Adipose-derived stem cells (ADSCs) are a type of mesenchymal stem cell that is investigated in bone tissue engineering (BTE). Osteoblasts are the main cells responsible for bone formation in vivo and directing ADSCs to form osteoblasts through osteogenesis is a research topic in BTE. In addition to the osteogenesis of ADSCs into osteoblasts, the crosstalk of ADSCs with osteoblasts through the secretion of extracellular vesicles (EVs) may also contribute to bone formation in ADSC-based BTE. We investigated the effect of ADSC-secreted EVs (ADSC-EVs) on osteoblast function. ADSC-EVs (size ≤ 1000 nm) were isolated from the culture supernatant of ADSCs through ultracentrifugation. The ADSC-EVs were observed to be spherical under a transmission electron microscope. The ADSC-EVs were positive for CD9, CD81, and Alix, but β-actin was not detected. ADSC-EV treatment did not change survival but did increase osteoblast proliferation and activity. The 48 most abundant known microRNAs (miRNAs) identified within the ADSC-EVs were selected and then subjected to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The GO analysis revealed that these miRNAs are highly relevant to skeletal system morphogenesis and bone development. The KEGG analysis indicated that these miRNAs may regulate osteoblast function through autophagy or the mitogen-activated protein kinase or Ras-related protein 1 signaling pathway. These results suggest that ADSC-EVs enhance osteoblast function and can contribute to bone regeneration in ADSC-based BTE. Full article
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<p>Characterization of ADSC-EVs. ADSC-EVs were isolated from three separate batches of conditioned media (CMs) and characterized. (<b>A</b>) Particle size distribution of ADSC-EVs measured through a nanoparticle tracking analysis (NTA). (<b>B</b>) Mean particle sizes of ADSC-EVs measured through NTA. Data are presented as the mean ± standard deviation (SD; <span class="html-italic">n</span> = 3). (<b>C</b>) Morphology of the ADSC-EVs as observed through transmission electron microscopy. (<b>D</b>) Western blot analysis of the protein levels of <span class="html-italic">CD9, CD81, Alix</span>, and <span class="html-italic">β-actin</span> in ADSCs and ADSC-EVs.</p>
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<p>ADSC-EV uptake by osteoblasts. The hFOBs (<b>A</b>) and hOBs (<b>B</b>) were treated with CM-DiI-labeled ADSC-EVs at concentrations of 0 (Control: control group) or 1 × 10<sup>9</sup> particles/mL (EVs: EV group) for 5 days, and images at days 1 and 5 were obtained using a camera under confocal microscopy. Cell nucleus, blue fluorescence stain; cytoplasm, green fluorescence stain; and CM-DiI-labeled ADSC-EVs, red fluorescence stain.</p>
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<p>Effect of ADSC-EVs on the survival of osteoblasts. The hFOBs (<b>A</b>) and hOBs (<b>B</b>) were treated with ADSC-EVs at concentrations of 0 (Control: control group) or 10<sup>9</sup> particles/mL (EVs: EV group) for 5 days and analyzed for survival. Live/dead cell assays were performed for hFOBs and hOBs to determine the cell survival on days 1 and 5. Green fluorescence indicates live cells (Live), whereas red fluorescence indicates dead cells (Dead). The hFOBs and hOBs remained alive on days 1 and 5 after the ADSC-EV treatment.</p>
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<p>Effect of ADSC-EVs on the proliferation of osteoblasts. The hFOBs (<b>A</b>) and hOBs (<b>B</b>) were treated with ADSC-EVs at concentrations of 0 (Control: control group) or 1 × 10<sup>7</sup>–1 × 10<sup>9</sup> particles/mL (EVs: EV group) for 5 days and analyzed for cell proliferation. MTS assays were performed for hFOBs and hOBs on day 5 to determine the cell proliferation. Cell proliferation of hFOBs and hOBs was enhanced after the ADSC-EV treatment. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 for comparisons with the control group. # <span class="html-italic">p</span> &lt; 0.05 and ## <span class="html-italic">p</span> &lt; 0.01 for comparisons between the two groups.</p>
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<p>ADSC-EVs promoted osteogenic marker gene expression in osteoblasts. The hFOBs (<b>A</b>) and hOBs (<b>B</b>) were treated with ADSC-EVs at concentrations of 0 (Control: control group) or 10<sup>9</sup> particles/mL (EVs: EV group) for 5 days. The mRNA expression levels of the osteogenic marker genes (runt-related transcription factor 2 (<span class="html-italic">Runx2</span>), osteocalcin (<span class="html-italic">OC</span>), collagen type I (<span class="html-italic">Col-I</span>), and alkaline phosphatase (<span class="html-italic">ALP</span>)) of hFOBs and hOBs were measured. Gene expression levels are expressed relative to the control group, which is defined as 1. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 for comparisons with the control group.</p>
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<p>ADSC-EVs promote <span class="html-italic">ALP</span> activity, calcium deposition, and collagen type I (<span class="html-italic">Col-I</span>) synthesis in osteoblasts. The hFOBs (<b>A</b>) and hOBs (<b>B</b>) were treated with ADSC-EVs at concentrations of 0 (Control: control group) or 1 × 10<sup>9</sup> particles/mL (EVs: EV group) for 12 days and analyzed through von Kossa staining, Alizarin red S staining and quantification, and ELISA for <span class="html-italic">ALP</span> activity and <span class="html-italic">Col-I</span> synthesis. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 3). * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 for comparisons with the control group.</p>
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<p>miRNA bioinformatics analysis of ADSC-EVs. Next-generation sequencing of the 48 most abundant known miRNAs detected in ADSC-EVs; the total read count is shown (<span class="html-italic">n</span> = 3).</p>
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<p>Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. GO pathway and KEGG pathway analyses were performed for the target genes of miRNAs enriched in ADSC-EVs. (<b>A</b>) GO enrichment analysis results. (<b>B</b>) KEGG enrichment analysis results. Bar and dot plots of GO and KEGG are shown (<span class="html-italic">n</span> = 3).</p>
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15 pages, 1066 KiB  
Article
The Effect of SGLT2 Inhibitor Dapagliflozin on Serum Levels of Apelin in T2DM Patients with Heart Failure
by Alexander A. Berezin, Ivan M. Fushtey and Alexander E. Berezin
Biomedicines 2022, 10(7), 1751; https://doi.org/10.3390/biomedicines10071751 - 20 Jul 2022
Cited by 8 | Viewed by 2796
Abstract
Apelin is a multifunctional peptide that plays a pivotal role in cardiac remodeling and HF manifestation because of counteracting angiotensin-II. We hypothesized that positive influence of sodium-glucose co-transporter-2 (SGLT2) inhibitor on cardiac function in T2DM patients with HF might be mediated by apelin [...] Read more.
Apelin is a multifunctional peptide that plays a pivotal role in cardiac remodeling and HF manifestation because of counteracting angiotensin-II. We hypothesized that positive influence of sodium-glucose co-transporter-2 (SGLT2) inhibitor on cardiac function in T2DM patients with HF might be mediated by apelin and that its levels seem to be a target of management. A total of 153 type 2 diabetes mellitus (T2DM) patients with II/III HF NYHA class and average left ventricular (LV) ejection fraction (EF) of 46% have been enrolled and treated with dapagliflosin. The serum levels of apelin and N-terminal brain natriuretic pro-peptide (NT-proBNP) were measured at baseline and over a 6-month period of dapagliflosin administration. We noticed that administration of dapagliflozin was associated with a significant increase in apelin levels of up to 18.3% and a decrease in NT-proBNP of up to 41.0%. Multivariate logistic regression showed that relative changes of LVEF, LA volume index, and early diastolic blood filling to longitudinal strain ratio were strongly associated with the levels of apelin, whereas NT-proBNP exhibited a borderline significance in this matter. In conclusion, dapagiflosin exerted a positive impact on echocardiographic parameters in close association with an increase in serum apelin levels, which could be a surrogate target for HF management. Full article
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<p>Flow chart of the study design. Abbreviations: T2DM, type 2 diabetes mellitus; CABG, coronary artery bypass grafting; TIA, transient ischemic attack; HF, heart failure; HOMA-IR, Homeostatic Assessment Model of Insulin Resistance.</p>
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<p>Bar graphs at baseline and 6 months after dapagliflozin administration, showing significant increase in serum levels of apelin (<b>a</b>) and decrease in NT-proBNP (<b>b</b>).</p>
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<p>Bar graphs at baseline and 6 months after dapagliflozin administration, showing changes in serum levels of apelin NT-proBNP depending on the phenotypes of HF. Abbreviations: HFpEF, heart failure with preserved ejection fraction; HFmrEF, heart failure with mildly reduced ejection fraction; HFrEF, heart failure with reduced ejection fraction.</p>
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17 pages, 2110 KiB  
Review
Interleukin-18 Binding Protein in Immune Regulation and Autoimmune Diseases
by Seung Yong Park, Yasmin Hisham, Hyun Mu Shin, Su Cheong Yeom and Soohyun Kim
Biomedicines 2022, 10(7), 1750; https://doi.org/10.3390/biomedicines10071750 - 20 Jul 2022
Cited by 16 | Viewed by 6987
Abstract
Natural soluble antagonist and decoy receptor on the surface of the cell membrane are evolving as crucial immune system regulators as these molecules are capable of recognizing, binding, and neutralizing (so-called inhibitors) their targeted ligands. Eventually, these soluble antagonists and decoy receptors terminate [...] Read more.
Natural soluble antagonist and decoy receptor on the surface of the cell membrane are evolving as crucial immune system regulators as these molecules are capable of recognizing, binding, and neutralizing (so-called inhibitors) their targeted ligands. Eventually, these soluble antagonists and decoy receptors terminate signaling by prohibiting ligands from connecting to their receptors on the surface of cell membrane. Interleukin-18 binding protein (IL-18BP) participates in regulating both Th1 and Th2 cytokines. IL-18BP is a soluble neutralizing protein belonging to the immunoglobulin (Ig) superfamily as it harbors a single Ig domain. The Ig domain is essential for its binding to the IL-18 ligand and holds partial homology to the IL-1 receptor 2 (IL-1R2) known as a decoy receptor of IL-1α and IL-1β. IL-18BP was defined as a unique soluble IL-18BP that is distinct from IL-18Rα and IL-18Rβ chain. IL-18BP is encoded by a separated gene, contains 8 exons, and is located at chr.11 q13.4 within the human genome. In this review, we address the difference in the biological activity of IL-18BP isoforms, in the immunity balancing Th1 and Th2 immune response, its critical role in autoimmune diseases, as well as current clinical trials of recombinant IL-18BP (rIL-18BP) or equivalent. Full article
(This article belongs to the Collection Feature Papers in Immunology and Immunotherapy)
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<p>IL-18BP Biological Role. Left panel, ① danger stimuli, such as pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs), activate the Toll-like receptors (TLR) signaling pathway that triggers MyD88, TRAF, inflammasome oligomerization that leads to subsequent activation of caspase-1 (Cas1). Consequently, the translocation of the NF-κB takes place and leads to ② the production of proinflammatory cytokines, including inductions of the transcriptional activation of pro-interleukin IL-18 (pro-IL-18), which is proteolytically cleaved and converted to its mature active form via the active caspase-1 (Cas1), then ③ IL-18 is secreted from the cell. Right panel, ④ when secreted IL-18 binds to the cells expressing IL-18R (mainly monocytes, NK cells, and T cells) and activates the respective signaling pathways, for example, MAPKs and NF-κB activation, which in turn leads to the ⑤ expression of proinflammatory molecules and induce the production of IFNγ. Next, IFNγ activates macrophages and allows them to produce inflammatory cytokines. This IFNγ induction and the activation cascade of IL-18 is inhibited by its natural neutralizing soluble inhibitor, interleukin IL-18 binding protein (IL-18BP).</p>
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<p>IL-18BP expression induced by IFNγ. IFNγ production is induced due to cytokines that are released in response to infection, tissue damage, activation of pattern recognition receptors (PRRs) or reactive antigen stimulation. Left side (up), the upregulated IL-18BP triggers the negative feedback loop, which in turn allows IL-18BP to inhibit the production of IFNγ. Left side (down), the epigenetic regulation of IL-18BP in various cells, methylation at the IL-18BP promoter region controls its expression upon IFNγ stimulation. Epithelial cells have no CpG methylation; therefore, their IL-18BP inducibility is strong and higher than monocytic cells, which have CpG methylation. Right side, IFNγ signaling starts when it binds to its receptor IFNγR, which consists of two subunits, IFNγR1 and IFNγR2. Later, this binding induces the Janus kinase (JAK) signal transducer and activator of transcription (STAT) signaling, particularly STAT1 makes a dimer, and then cooperates with IFNγ-induced interferon regulatory factors (IRFs), resulting in translocation into the nucleus. IL-18BP promoter holds several response elements, among them IFN regulatory factor 1 response element (IRF-E) and STAT1. These transcriptional activations of the promoter induce IL-18BP expression.</p>
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<p>IL-18BP isoforms. Multiple sequence alignment for the isoforms of human IL-18BP. PTM features are indicated as glycosylation sites, which are displayed above the sequence (N-linked; Triangle, O-linked; circle, blue for confirmed, red for predicted O-glycosylation). Disulfide bridges are exposed as dashed lines (red and orange). Residues with homology are indicated with an asterisk (*) below the residue. Residues shearing identity with the virus IL-18BP are highlighted within an orange color shaded box. The domain of Ig-like C2-type is highlighted in green (starts at 65 and ends at 166 with a length of 102aa based on the sequence of IL-18BPa). Uniport accession number; IL-18BPa (O95998 I18BP_HUMAN/NP_766630.2), IL-18BPb (O95998-3 I18BP_HUMAN/NP_001138527.1), IL-18BPd (O95998-4 I18BP_HUMAN/NP_766632.2), and IL-18BPc (G3V1C5 _HUMAN/NP_005690.2). (:) Conservative residue; (.) Semi-conservative residue; ( ) Non-conservative residue.</p>
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<p>IL-18BP inhibiting IL-18 target cells and therapeutic interventions. IL-18 assists several immune cells, it stimulates NK to produce IFNγ, which activates macrophages and allows them to produce inflammatory cytokines. In addition, it participates in the Th1 and Th2 response, depending on cytokine partners, when IL-18 is combined with IL-12 it facilitates the Th1 immune response, which in turn activates DCs and releases inflammatory cytokines, such as IFNγ and TNFα. In response to Th1 activation, M1 macrophages induce IL-18 and supply the loop. Alternatively, in the absence of IL-12, and when IL-18 is combined with IL-2 and/or IL-4, together they facilitate Th2 immune response, which in turn secreted IgE and numerous Th2 cytokines, such as IL-4, IL-5, IL-9, and IL-13. In response to Th2 activation, M2 macrophages and/or mast cells become activated, and then the production of histamine takes place (allergic response), which is also facilitated when IL-18 is combined with IL-3. When IL-18BP sequestered IL-18, the following activated cascade is inhibited. Therefore, IL-18BP can play potential roles in both Th1 and Th2 autoimmune diseases. Boxes indicated the main pathological condition (RED), potential therapeutic options (BLUE; anticancer molecules in the clinical trial, GREEN; IL-18BP or equivalent; Tadekinig-α, GSK1070806, and APB-3R are in clinical and pre-clinical trials, IL-18BPΔN-EH showed higher affinity than full-length IL-18BP and suggested for use in treating autoimmune diseases).</p>
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23 pages, 1129 KiB  
Systematic Review
Tendinopathies and Pain Sensitisation: A Meta-Analysis with Meta-Regression
by Davide Previtali, Alberto Mameli, Stefano Zaffagnini, Paolo Marchettini, Christian Candrian and Giuseppe Filardo
Biomedicines 2022, 10(7), 1749; https://doi.org/10.3390/biomedicines10071749 - 20 Jul 2022
Cited by 6 | Viewed by 2605
Abstract
The presence of pain sensitisation has been documented and reported as being a possible cause of treatment failure and pain chronicity in several musculoskeletal conditions, such as tendinopathies. The aim of the present study is to analyse existing evidence on pain sensitisation in [...] Read more.
The presence of pain sensitisation has been documented and reported as being a possible cause of treatment failure and pain chronicity in several musculoskeletal conditions, such as tendinopathies. The aim of the present study is to analyse existing evidence on pain sensitisation in tendinopathies comparing the local and distant pain thresholds of healthy and affected subjects with distinct analysis for different tendinopathies. PubMed, Cochrane Central Register, Scopus, and Web Of Science were systematically searched after registration on PROSPERO (CRD42020164124). Level I to level IV studies evaluating the presence of pain sensitisation in patients with symptomatic tendinopathies, documented through a validated method, were included. A meta-analysis was performed to compare local, contralateral, and distant pain thresholds between patients and healthy controls with sub-analyses for different tendinopathies. Meta-regressions were conducted to evaluate the influence of age, activity level, and duration of symptoms on results. Thirty-four studies out of 2868 were included. The overall meta-analysis of local pressure pain thresholds (PPT) documented an increased sensitivity in affected subjects (p < 0.001). The analyses on contralateral PPTs (p < 0.001) and distant PPTs (p = 0.009) documented increased sensitivity in the affected group. The results of the sub-analyses on different tendinopathies were conflicting, except for those on lateral epicondylalgia. Patients’ activity level (p = 0.02) and age (p = 0.05) significantly influenced local PPT results. Tendinopathies are characterized by pain sensitisation, but, while features of both central and peripheral sensitisation can be constantly detected in lateral epicondylalgia, results on other tendinopathies were more conflicting. Patients’ characteristics are possible confounders that should be taken into account when addressing pain sensitisation. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Chronic Pain and New Therapeutic Strategies)
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<p>PRISMA flowchart of the study selection process.</p>
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<p>Results of the meta-analysis on local pressure pain thresholds.</p>
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<p>Results of the meta-analysis on local heat and cold pain thresholds.</p>
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<p>Results of the meta-analysis on contralateral pressure pain thresholds.</p>
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<p>Results of the meta-analysis on distant pressure pain thresholds.</p>
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10 pages, 982 KiB  
Article
Effect of Anti-Hypertensive Medication on Plasma Concentrations of Lysyl Oxidase: Evidence for Aldosterone-IL-6-Dependent Regulation of Lysyl Oxidase Blood Concentration
by Rolf Schreckenberg, Oliver Dörr, Sabine Pankuweit, Bernhard Schieffer, Christian Troidl, Holger Nef, Christian W. Hamm, Susanne Rohrbach, Ling Li and Klaus-Dieter Schlüter
Biomedicines 2022, 10(7), 1748; https://doi.org/10.3390/biomedicines10071748 - 20 Jul 2022
Viewed by 1858
Abstract
Lysyl oxidase (LOX) is a secretory protein that catalyzes elastin and collagen cross-linking. Lowering LOX expression and activity in endothelial cells is associated with a high risk of aneurysms and vascular malformation. Interleukin-6 (IL-6), elevated in hypertension, is known to suppress LOX expression. [...] Read more.
Lysyl oxidase (LOX) is a secretory protein that catalyzes elastin and collagen cross-linking. Lowering LOX expression and activity in endothelial cells is associated with a high risk of aneurysms and vascular malformation. Interleukin-6 (IL-6), elevated in hypertension, is known to suppress LOX expression. The influence of anti-hypertensive medication on the plasma LOX concentration is currently unknown. In a cohort of 34 patients diagnosed with resistant hypertension and treated with up to nine different drugs, blood concentration of LOX was analyzed to identify drugs that have an impact on plasma LOX concentration. Key findings were confirmed in a second independent patient cohort of 37 patients diagnosed with dilated cardiomyopathy. Blood concentrations of aldosterone and IL-6 were analyzed. In vitro, the effect of IL-6 on LOX expression was analyzed in endothelial cells. Patients receiving aldosterone antagonists had the highest plasma LOX concentration in both cohorts. This effect was independent of sex, age, blood pressure, body mass index, and co-medication. Blood aldosterone concentration correlates with plasma IL-6 concentration. In vitro, IL-6 decreased the expression of LOX in endothelial cells but not fibroblasts. Aldosterone was identified as a factor that affects blood concentration of LOX in an IL-6-dependent manner. Full article
(This article belongs to the Special Issue Vascular Endothelial Functions: Insights from Molecular Perspectives)
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<p>Effect of ACE/AT1 antagonism, statins, or ASA on plasma concentrations of LOX in hypertensive patients. LOX plasma concentrations in patients from cohort 1 (hypertension) either without (control) or with specified treatment (ACE/AT1 antagonism, statins, or ASA). Data are shown separately for the whole cohort, men only, and women only. The box and whiskers plots show the total range (whiskers), Q25, Q50, and Q75. Exact <span class="html-italic">p</span>-values are given and n-values are given.</p>
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<p>Effect of aldosterone blockade on serum concentrations of LOX in DCM patients. LOX serum concentrations in patients from cohort 2 (DCM) either without (control; n = 17) or with aldosterone blockade (Aldo; n = 19). The box and whiskers plots show the total range (whiskers), Q25, Q50, and Q75. Exact <span class="html-italic">p</span>-value is given.</p>
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<p>Effect of interleukin-6 (IL-6) on LOX mRNA expression in isolated microvascular rat endothelial cells and cardiac fibroblasts. mRNA expression of LOX was normalized to beta-2-microglobulin as a housekeeping gene. Mean expression of control cultures is set as 1. Cells were incubated for 24 h with IL-6 (10 ng/mL). The box and whiskers plots show the total range (whiskers), Q25, Q50, and Q75. Exact <span class="html-italic">p</span>-values are given (n = 6 cultures each).</p>
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<p>Correlation between blood concentration of IL-6 and aldosterone. IL-6 and aldosterone serum concentrations from patients of cohort 2 not receiving aldosterone blockade are plotted against each other. Linear regression analysis was performed by Pearson correlation (r = 0.608; <span class="html-italic">p</span> = 0.021).</p>
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3 pages, 170 KiB  
Editorial
NAFLD: From Mechanisms to Therapeutic Approaches
by Karim Gariani and François R. Jornayvaz
Biomedicines 2022, 10(7), 1747; https://doi.org/10.3390/biomedicines10071747 - 20 Jul 2022
Cited by 2 | Viewed by 1641
Abstract
Nonalcoholic fatty liver disease (NAFLD) now represents the most frequent chronic liver disease worldwide [...] Full article
(This article belongs to the Special Issue NAFLD: From Mechanisms to Therapeutic Approaches)
19 pages, 2490 KiB  
Article
In Vivo and Ex Vivo Mitochondrial Function in COVID-19 Patients on the Intensive Care Unit
by Lucia W. J. M. Streng, Calvin J. de Wijs, Nicolaas J. H. Raat, Patricia A. C. Specht, Dimitri Sneiders, Mariëlle van der Kaaij, Henrik Endeman, Egbert G. Mik and Floor A. Harms
Biomedicines 2022, 10(7), 1746; https://doi.org/10.3390/biomedicines10071746 - 20 Jul 2022
Cited by 13 | Viewed by 2417
Abstract
Mitochondrial dysfunction has been linked to disease progression in COVID-19 patients. This observational pilot study aimed to assess mitochondrial function in COVID-19 patients at intensive care unit (ICU) admission (T1), seven days thereafter (T2), and in healthy controls and a general anesthesia group. [...] Read more.
Mitochondrial dysfunction has been linked to disease progression in COVID-19 patients. This observational pilot study aimed to assess mitochondrial function in COVID-19 patients at intensive care unit (ICU) admission (T1), seven days thereafter (T2), and in healthy controls and a general anesthesia group. Measurements consisted of in vivo mitochondrial oxygenation and oxygen consumption, in vitro assessment of mitochondrial respiration in platelet-rich plasma (PRP) and peripheral blood mononuclear cells (PBMCs), and the ex vivo quantity of circulating cell-free mitochondrial DNA (mtDNA). The median mitoVO2 of COVID-19 patients on T1 and T2 was similar and tended to be lower than the mitoVO2 in the healthy controls, whilst the mitoVO2 in the general anesthesia group was significantly lower than that of all other groups. Basal platelet (PLT) respiration did not differ substantially between the measurements. PBMC basal respiration was increased by approximately 80% in the T1 group when contrasted to T2 and the healthy controls. Cell-free mtDNA was eight times higher in the COVID-T1 samples when compared to the healthy controls samples. In the COVID-T2 samples, mtDNA was twofold lower when compared to the COVID-T1 samples. mtDNA levels were increased in COVID-19 patients but were not associated with decreased mitochondrial O2 consumption in vivo in the skin, and ex vivo in PLT or PBMC. This suggests the presence of increased metabolism and mitochondrial damage. Full article
(This article belongs to the Special Issue Mitochondrial Metabolism in Health and Disease)
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<p>Flowchart of the inclusion process.</p>
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<p>MitoPO<sub>2</sub> (mmHg) in HC, COVID-19 patients on T1 and T2, and general anesthesia group. HC = healthy controls, T1 = time point 1, T2 = time point 2, and GA = general anesthesia. Values are displayed as median with interquartile range (box) and minimum and maximum (whiskers).</p>
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<p>MitoVO<sub>2</sub> (mmHg/s) in HC, COVID-19 patients on T1 and T2, and the general anesthesia group. HC = healthy controls, T1 = time point 1, T2 = time point 2, and GA = general anesthesia. Values are displayed as median with interquartile range (box) and minimum and maximum (whiskers).</p>
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<p>Whole blood cell counts for platelets (PLT), PBMC, lymphocytes (LY), monocytes (MO), neutrophils (NE), red blood cells (RBC), and Hb levels for the healthy control (HC), COVID-T1, and COVID-T2 groups.</p>
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<p>Oxygen consumption rate (OCR) for ROUTINE, LEAK, maximal respiration (MAX), and respiration after inhibition of complex I by rotenone (ROT) in (<b>A</b>) platelets and (<b>C</b>) PBMC. LEAK/ET coupling control ratio (L/E Ratio) in (<b>B</b>) platelets and (<b>D</b>) PBMC for the healthy control (HC), COVID-T1, and COVID-T2 groups. Values displayed as median ± min/max values.</p>
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<p>Plasma amount of nuclear DNA (β-globin) and mitochondrial DNA (mtDNA) in HC = healthy controls, COVID-T1, and COVID-T2 groups. (<b>A</b>) Unfiltered nuclear DNA amount. (<b>B</b>) Filtered nuclear DNA amount. (<b>C</b>) Unfiltered mtDNA. (<b>D</b>) Filtered mtDNA. Values are displayed as median ± IQR.</p>
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19 pages, 1888 KiB  
Review
Obesity and Endothelial Function
by Masato Kajikawa and Yukihito Higashi
Biomedicines 2022, 10(7), 1745; https://doi.org/10.3390/biomedicines10071745 - 19 Jul 2022
Cited by 30 | Viewed by 5046
Abstract
Obesity is a major public health problem and is related to increasing rates of cardiovascular morbidity and mortality. Over 1.9 billion adults are overweight or obese worldwide and the prevalence of obesity is increasing. Obesity influences endothelial function through obesity-related complications such as [...] Read more.
Obesity is a major public health problem and is related to increasing rates of cardiovascular morbidity and mortality. Over 1.9 billion adults are overweight or obese worldwide and the prevalence of obesity is increasing. Obesity influences endothelial function through obesity-related complications such as hypertension, dyslipidemia, diabetes, metabolic syndrome, and obstructive sleep apnea syndrome. The excess fat accumulation in obesity causes adipocyte dysfunction and induces oxidative stress, insulin resistance, and inflammation leading to endothelial dysfunction. Several anthropometric indices and imaging modalities that are used to evaluate obesity have demonstrated an association between obesity and endothelial function. In the past few decades, there has been great focus on the mechanisms underlying endothelial dysfunction caused by obesity for the prevention and treatment of cardiovascular events. This review focuses on pathophysiological mechanisms of obesity-induced endothelial dysfunction and therapeutic targets of obesity. Full article
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<p>The function of endothelial cells in healthy subjects and obese subjects.</p>
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<p>Odds ratios and 95% confidence intervals, adjusted for the presence of hypertension, dyslipidemia, diabetes, and smokers, for endothelial dysfunction according to obesity status. The subjects with a lower quartile of flow-mediated vasodilation (FMD) were defined as subjects having endothelial dysfunction (FMD of less than 4.2% in subjects aged &lt;60 years, FMD of less than 2.1% in subjects aged ≥60 years). Reprinted with permission from Ref. [<a href="#B5-biomedicines-10-01745" class="html-bibr">5</a>]. Copyright 2021 Elsevier.</p>
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<p>Odds ratios and 95% confidence intervals, adjusted for age, body mass index, presence of hypertension, dyslipidemia, and diabetes, and smokers, for endothelial dysfunction of high ABSI. The subjects with endothelial dysfunction were defined as follows: Men, FMD of less than 3.6%, Women, FMD of less than 3.1%. Low ABSI was defined as follows: Men, less than 0.0796, Women, less than 0.0823. Adapted from [<a href="#B28-biomedicines-10-01745" class="html-bibr">28</a>] 2021 Springer Nature Limited.</p>
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<p>The putative mechanisms underlying endothelial dysfunction induced by obesity.</p>
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13 pages, 602 KiB  
Article
Metabolic Syndrome and Obesity-Related Indices Are Associated with Rapid Renal Function Decline in a Large Taiwanese Population Follow-Up Study
by Wei-Yu Su, I-Hua Chen, Yuh-Ching Gau, Pei-Yu Wu, Jiun-Chi Huang, Yi-Chun Tsai, Szu-Chia Chen, Jer-Ming Chang, Shang-Jyh Hwang and Hung-Chun Chen
Biomedicines 2022, 10(7), 1744; https://doi.org/10.3390/biomedicines10071744 - 19 Jul 2022
Cited by 11 | Viewed by 2320
Abstract
A rapid decline in renal function can cause many complications, and therefore it is important to detect associated risk factors. Few studies have evaluated the associations among obesity-related indices and metabolic syndrome (MetS) with renal function decline. This longitudinal study aimed to explore [...] Read more.
A rapid decline in renal function can cause many complications, and therefore it is important to detect associated risk factors. Few studies have evaluated the associations among obesity-related indices and metabolic syndrome (MetS) with renal function decline. This longitudinal study aimed to explore these relationships in a large cohort of Taiwanese participants. The studied obesity-related indices were waist-to-height ratio (WHtR), A body shape index (ABSI), visceral adiposity index (VAI), lipid accumulation product (LAP), waist-to-hip ratio (WHR), body roundness index (BRI), conicity index (CI), body mass index (BMI), body adiposity index (BAI) and abdominal volume index (AVI). We included 122,068 participants in the baseline study, of whom 27,033 were followed for a median of four years. The baseline prevalence of MetS was 17.7%. Multivariable analysis showed that the participants with MetS and high VAI, WHtR, WHR, LAP, CI, BRI, BMI, BAI, AVI, and ABSI values were significantly associated with a high baseline estimated glomerular filtration rate (eGFR) (all p < 0.001). In addition, the participants with MetS (p < 0.001), high WHtR (p = 0.007), low LAP (p < 0.001), high BRI (p = 0.002), high CI (p = 0.002), high AVI (p = 0.001), high VAI (p = 0.017), and high ABSI (p = 0.013) were significantly associated with a low △eGFR, indicating a rapid decline in renal function. These results showed associations between MetS and high values of obesity-related indices except LAP with high baseline eGFR and rapid decline in kidney function. These findings suggest that screening for MetS and obesity may help to slow the decline in renal function in high-risk populations. Full article
(This article belongs to the Special Issue Pathogenesis and Treatment Progress of Chronic Kidney Diseases)
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<p>Flowchart of the study population.</p>
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16 pages, 3875 KiB  
Review
Synaptic Disruption by Soluble Oligomers in Patients with Alzheimer’s and Parkinson’s Disease
by Berenice A. Gutierrez and Agenor Limon
Biomedicines 2022, 10(7), 1743; https://doi.org/10.3390/biomedicines10071743 - 19 Jul 2022
Cited by 8 | Viewed by 3503
Abstract
Neurodegenerative diseases are the result of progressive dysfunction of the neuronal activity and subsequent neuronal death. Currently, the most prevalent neurodegenerative diseases are by far Alzheimer’s (AD) and Parkinson’s (PD) disease, affecting millions of people worldwide. Although amyloid plaques and neurofibrillary tangles are [...] Read more.
Neurodegenerative diseases are the result of progressive dysfunction of the neuronal activity and subsequent neuronal death. Currently, the most prevalent neurodegenerative diseases are by far Alzheimer’s (AD) and Parkinson’s (PD) disease, affecting millions of people worldwide. Although amyloid plaques and neurofibrillary tangles are the neuropathological hallmarks for AD and Lewy bodies (LB) are the hallmark for PD, current evidence strongly suggests that oligomers seeding the neuropathological hallmarks are more toxic and disease-relevant in both pathologies. The presence of small soluble oligomers is the common bond between AD and PD: amyloid β oligomers (AβOs) and Tau oligomers (TauOs) in AD and α-synuclein oligomers (αSynOs) in PD. Such oligomers appear to be particularly increased during the early pathological stages, targeting synapses at vulnerable brain regions leading to synaptic plasticity disruption, synapse loss, inflammation, excitation to inhibition imbalance and cognitive impairment. Absence of TauOs at synapses in individuals with strong AD disease pathology but preserved cognition suggests that mechanisms of resilience may be dependent on the interactions between soluble oligomers and their synaptic targets. In this review, we will discuss the current knowledge about the interactions between soluble oligomers and synaptic dysfunction in patients diagnosed with AD and PD, how it affects excitatory and inhibitory synaptic transmission, and the potential mechanisms of synaptic resilience in humans. Full article
(This article belongs to the Special Issue News about Structure and Function of Synapses: Health and Diseases)
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<p>Overview of major effects of toxic oligomers in synapses. Left. Neuroinflammatory and Reactive Oxygen Species (ROS) participate in the production and the effects of toxic oligomers on synapses. Right, Major synaptic effects on synapses. It is still not clear what is the chronological order of events, but each one influence the others and some of them are happening simultaneously at brain regions vulnerable to AD pathology.</p>
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20 pages, 4498 KiB  
Article
Nanomechanical and Morphological AFM Mapping of Normal Tissues and Tumors on Live Brain Slices Using Specially Designed Embedding Matrix and Laser-Shaped Cantilevers
by Vladislav M. Farniev, Mikhail E. Shmelev, Nikita A. Shved, Valeriia S. Gulaia, Arthur R. Biktimirov, Alexey Y. Zhizhchenko, Aleksandr A. Kuchmizhak and Vadim V. Kumeiko
Biomedicines 2022, 10(7), 1742; https://doi.org/10.3390/biomedicines10071742 - 19 Jul 2022
Cited by 11 | Viewed by 3114
Abstract
Cell and tissue nanomechanics has been intriguingly introduced into biomedical research, not only complementing traditional immunophenotyping and molecular analysis, but also bringing unexpected new insights for clinical diagnostics and bioengineering. However, despite the progress in the study of individual cells in culture by [...] Read more.
Cell and tissue nanomechanics has been intriguingly introduced into biomedical research, not only complementing traditional immunophenotyping and molecular analysis, but also bringing unexpected new insights for clinical diagnostics and bioengineering. However, despite the progress in the study of individual cells in culture by atomic force microscopy (AFM), its application for mapping live tissues has a number of technical limitations. Here, we elaborate a new technique to study live slices of normal brain tissue and tumors by combining morphological and nanomechanical AFM mapping in high throughput scanning mode, in contrast to the typically utilized force spectroscopy mode based on single-point probe application. This became possible due to the combined use of an appropriate embedding matrix for vibratomy and originally modified AFM probes. The embedding matrix composition was carefully developed by regulating the amounts of agar and collagen I to reach optimal viscoelastic properties for obtaining high-quality live slices that meet AFM requirements. AFM tips were rounded by irradiating them with focused nanosecond laser pulses, while the resulting tip morphology was verified by scanning electron microscopy. Live slices preparation and AFM investigation take only 55 min and could be combined with a vital cell tracer analysis or immunostaining, thus making it promising for biomedical research and clinical diagnostics. Full article
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<p>Comparative characteristics of the mechanics and viability of tissue sections obtained in different types of embedding matrix with tissue not subjected to vibratomy. (<b>a</b>) A tissue fragment not subjected to vibratomy in the matrix. (<b>b</b>) Tissue section obtained in a matrix consisting of 1.5% agar, 1.5 mg/mL collagen. (<b>c</b>) Tissue section obtained in a matrix consisting of 2.0% agar, 0.5 mg/mL collagen. (<b>d</b>) Tissue section obtained in a matrix consisting of 2.0% agar, 1.0 mg/mL collagen. (<b>e</b>) Tissue section obtained in a matrix consisting of 2.0% agar, 1.5 mg/mL collagen.</p>
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<p>Vibrosectioning of the rat brain embedded in the matrix cone (<b>a</b>–<b>e</b>): (<b>a</b>) brain specimen embedded in the matrix cone; (<b>b</b>) schematic representation of the vibratome components adjusted for live brain sectioning: (1—specimen of brain, 2—embedding matrix cone, 3—vibratome blade, 4—vibratome blade translation, 5—gasket/spacer); (<b>c</b>) Vibrosectioning of the rat brain in the embedding matrix with insufficient stiffness (&lt;2.500 µN/m) and elasticity (&lt;27 kPa); (<b>d</b>) Vibrosectioning of the rat brain in the embedding matrix with suitable stiffness (2.6 µN/m) and elasticity (27 kPa); (<b>e</b>) Vibrosectioning of the rat brain in the embedding matrix with excessive stiffness (&gt;3.5 µN/m) and elasticity (&gt;30 kPa); (<b>f</b>,<b>g</b>) slice quality control by AFM with ScanAsyst Fluid High Resolution tip (Height sensor channel): (<b>f</b>) the slice surface of an agar gel (2.5% agar) without collagen (Height sensor channel); (<b>g</b>) the slice surface of collagen–agar gel (2.0% agar; 0.5 mg/mL type I collagen).</p>
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<p>Comparative characteristics of the AFM probes: SEM images showing (<b>a</b>) stock ScanAsyst Fluid High Resolution probe and (<b>c</b>) laser-modified ScanAsyst Fluid High Resolution probes, as well as (<b>e</b>) NP−10 probe with an attached microbead. (<b>b</b>,<b>d</b>,<b>f</b>) AFM morphological maps of the 2% agar gel surface obtained using the above-mentioned cantilevers.</p>
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<p>Surface properties of the rat brain slice studied by LSM (<b>a</b>,<b>h</b>,<b>i</b>) and AFM (laser-reshaped ScanAsyst Fluid High Resolution probe (<b>b</b>,<b>d</b>,<b>e</b>) and microbead-based cantilevers NP−10 (<b>c</b>,<b>f</b>,<b>g</b>). (<b>a</b>) Large−scale LSM map showing the ratio of live (green glow) to dead cells (red glow). (<b>h</b>,<b>i</b>) Two areas show 3D reconstruction of the smaller map sections chosen for subsequent AFM studies with two types of cantilevers. Surface morphology of the chosen slice obtained using laser-reshaped (<b>b</b>) and microbead-based (<b>c</b>) cantilevers. Insets on both images provide 3D reconstructions of these areas. (<b>d</b>,<b>e</b>) Elasticity and stiffness AFM maps by laser−reshaped ScanAsyst Fluid High Resolution probe. (<b>f</b>,<b>g</b>) Elasticity and stiffness AFM maps by microbead−based cantilevers NP−10.</p>
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<p>Surface properties of the human glioma slice studied by LSM (<b>a</b>,<b>h</b>,<b>i</b>) and AFM (laser-reshaped ScanAsyst Fluid High Resolution probe (<b>b</b>,<b>d</b>,<b>e</b>) and microbead−based cantilevers NP−10 (<b>c</b>,<b>f</b>,<b>g</b>). (<b>a</b>) Large-scale LSM map showing the ratio of live (green glow) to dead cells (red glow). (<b>h</b>,<b>i</b>) Two areas show 3D reconstruction of the smaller map sections chosen for subsequent AFM studies with two types of cantilevers. Surface morphology of the chosen slice obtained using laser-reshaped (<b>b</b>) and microbead−based (<b>c</b>) cantilevers. Insets on both images provide 3D reconstructions of these areas. (<b>d</b>,<b>e</b>) Elasticity and stiffness AFM maps of the chosen areas by laser-reshaped ScanAsyst Fluid High Resolution probe. (<b>f</b>,<b>g</b>). Elasticity and stiffness AFM maps by microbead-based cantilevers NP−10.</p>
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<p>Combined immunohistochemical LSM and AFM analysis of rat brain slices. (<b>a</b>) Immunohistochemistry of slice surface captured by LSM (blue signal–DAPI-cell nucleus; green signal–GFAP-glial cell cytoskeletal protein); (<b>b</b>) merged LSM and AFM channels; (<b>c</b>) morphological map of the slice surface obtained by AFM (height sensor).</p>
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15 pages, 4455 KiB  
Article
Exploring Gut Microenvironment in Colorectal Patient with Dual-Omics Platform: A Comparison with Adenomatous Polyp or Occult Blood
by Po-Li Wei, Ming-Shun Wu, Chun-Kai Huang, Yi-Hsien Ho, Ching-Sheng Hung, Ying-Chin Lin, Mei-Fen Tsao and Jung-Chun Lin
Biomedicines 2022, 10(7), 1741; https://doi.org/10.3390/biomedicines10071741 - 19 Jul 2022
Cited by 6 | Viewed by 2507
Abstract
The gut mucosa is actively absorptive and functions as the physical barrier to separate the gut ecosystem from host. Gut microbiota-utilized or food-derived metabolites are closely relevant to the homeostasis of the gut epithelial cells. Recent studies widely suggested the carcinogenic impact of [...] Read more.
The gut mucosa is actively absorptive and functions as the physical barrier to separate the gut ecosystem from host. Gut microbiota-utilized or food-derived metabolites are closely relevant to the homeostasis of the gut epithelial cells. Recent studies widely suggested the carcinogenic impact of gut dysbiosis or altered metabolites on the development of colorectal cancer (CRC). In this study, liquid chromatography coupled-mass spectrometry and long-read sequencing was applied to identify gut metabolites and microbiomes with statistically discriminative abundance in CRC patients (n = 20) as compared to those of a healthy group (n = 60) ofenrolled participants diagnosed with adenomatous polyp (n = 67) or occult blood (n = 40). In total, alteration in the relative abundance of 90 operational taxonomic units (OTUs) and 45 metabolites were identified between recruited CRC patients and healthy participants. Among the candidates, the gradual increases in nine OTUs or eight metabolites were identified in healthy participants, patients diagnosed with occult blood and adenomatous polyp, and CRC patients. The random forest regression model constructed with five OTUs or four metabolites achieved a distinct classification potential to differentially discriminate the presence of CRC (area under the ROC curve (AUC) = 0.998 or 0.975) from the diagnosis of adenomatous polyp (AUC = 0.831 or 0.777), respectively. These results provide the validity of CRC-associated markers, including microbial communities and metabolomic profiles across healthy and related populations toward the early screening or diagnosis of CRC. Full article
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<p>Diversity of taxonomic alignments between healthy group (blue), Colonic OB (green), Adenomatous polyp (brown), and CRC (red) with long-read sequencing results. The α-diversity in all groups is illustrated using (<b>A</b>) Simpson index and (<b>B</b>) Shannon entropy (No difference (N.D.) &gt; 0.05; * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.005).</p>
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<p>The dissimilarity of gut microbial community among the enrolled participants with sequencing results is identified using principal component analysis (PCoA), including (<b>A</b>) Weighted Unifrac and (<b>B</b>) Bray-Curtis method.</p>
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<p>Identification of operational taxonomy unit (OTU) in healthy participants and enrolled patients with MinION sequencing results. Stacked bar chart is applied to present the relative abundances of the top 25 classified OTUs to species level.</p>
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<p>The relevance of 19 CRC-enriched OTUs (black and red character) and 13 OTUs with relatively low abundances in CRC patients as compared to those of the healthy participants (blue character) at the species level among all recruited participants is illustrated using a heatmap chart.</p>
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<p>Differential abundances of identified OTU at the species level between healthy participants and enrolled patients. (<b>A</b>) Histogram of linear discriminant analysis (LDA) scores presents differential abundances of identified OTUs in healthy participants (green bar) and CRC patients (red bar). (<b>B</b>) Relative abundances of identified OTUs in the fecal samples of enrolled patients diagnosed with colonic occult blood, adenomatous polyp, and CRC.</p>
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<p>A Principal component analysis (PCA) is applied to estimate the dissimilarity of gut metabolomic profiling between healthy participants and enrolled patients diagnosed with colonic occult blood, adenomatous polyp, and CRC.</p>
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<p>Z-score heatmap is constructed with 45 distinctly differential metabolites between enrolled patients diagnosed with colonic occult blood, adenomatous polyp, and CRC. Significance of identified metabolites were evaluated using variable importance in projection value (VIP) and alteration in relative abundance from pairwise PLD-DA analysis and Wilcoxon rank-sum test, with VIP &gt; 1.5, alteration in relative abundance (−2 &gt; fold-change &gt; 2), <span class="html-italic">p</span> value &lt; 0.05, and FDR value &lt; 0.05 as the cut-off for significance.</p>
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<p>Associations among CRC-enriched metabolites and gut dysbiosis in enrolled CRC patients. Heatmap for the relevance between metabolites and OTUs along with CRC occurrence. The metabolites-OTUs associations were evaluated by using zero-inflated negative binomial (ZINB) regressions. The strengths of associations were measured by -log10 (<span class="html-italic">p</span>-value)*sign (Beta) from the results of ZINB regressions and <span class="html-italic">p</span> value &lt; 0.05 was identified as the cut-off for significance.</p>
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<p>Predictive utility of identified gut OTUs or metabolites toward the occurrence of CRC or adenomatous polyp was evaluated using the random forests model. The area under the receiver operating characteristics (ROC) curve (AUC) was applied for differentiating CRC patients or enrolled patients diagnosed with adenomatous polyp from the healthy group with the relative abundances of identified OTUs (<b>left</b>), the intensity of identified gut metabolites (<b>middle</b>), or combination of gut dysbiosis-associated metabolites in CRC patients (<b>right</b>).</p>
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14 pages, 3299 KiB  
Article
Novel Chloro-Substituted Salicylanilide Derivatives and Their β-Cyclodextrin Complexes: Synthesis, Characterization, and Antibacterial Activity
by Ioana Maria Carmen Ienașcu, Adina Căta, Mariana Nela Ştefănuț, Iuliana Popescu, Gerlinde Rusu, Paula Sfîrloagă, Daniel Ursu, Cristina Moşoarcă, Anamaria Dabici, Corina Danciu, Delia Muntean and Raluca Pop
Biomedicines 2022, 10(7), 1740; https://doi.org/10.3390/biomedicines10071740 - 19 Jul 2022
Cited by 4 | Viewed by 2368
Abstract
The goal of this research was to design novel chloro-substituted salicylanilide derivatives and their β-cyclodextrin complexes in order to obtain efficient antibacterial compounds and to demonstrate the beneficial role of complexation on the efficiency of these compounds. Thus, salicylanilide derivatives, esters, and hydrazides [...] Read more.
The goal of this research was to design novel chloro-substituted salicylanilide derivatives and their β-cyclodextrin complexes in order to obtain efficient antibacterial compounds and to demonstrate the beneficial role of complexation on the efficiency of these compounds. Thus, salicylanilide derivatives, esters, and hydrazides were obtained by microwave-assisted synthesis and their structure proven based on FTIR and NMR spectra. In order to improve water solubility, chemical and physical stability, and drug distribution through biological membranes, the inclusion complexes of the ethyl esters in β-cyclodextrin were also obtained using kneading. Inclusion-complex characterization was accomplished by modern analytical methods, X-ray diffraction, SEM, TGA, FTIR, and UV-vis spectroscopy. The newly synthesized compounds were tested against some Gram-positive and Gram-negative bacteria. Antimicrobial tests revealed good activity on Gram-positive bacteria and no inhibition against Gram-negative strains. The MIC and MBC values for compounds derived from N-(2-chlorophenyl)-2-hydroxybenzamide were 0.125–1.0 mg/mL. N-(4-chlorophenyl)-2-hydroxybenzamide derivatives were found to be less active. The inclusion complexes generally behaved similarly to the guest compounds, and antibacterial activity was not been altered by complexation. Full article
(This article belongs to the Special Issue State-of-the-Art Drug Delivery in Europe)
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<p>XRD spectra of β-cyclodextrin, ethyl ester, inclusion complex, physical mixture: (<b>a</b>) ethyl 2-(2-((2-chlorophenyl)carbamoyl)phenoxy)acetate series; (<b>b</b>) ethyl 2-(2-((4-chlorophenyl) carbamoyl)phenoxy)acetate series.</p>
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<p>SEM images of β-cyclodextrin, ethyl ester, inclusion complex, physical mixture: (<b>a</b>) ethyl 2-(2-((2-chlorophenyl)carbamoyl)phenoxy)acetate series; (<b>b</b>) ethyl 2-(2-((4-chlorophenyl) carbamoyl)phenoxy)acetate series.</p>
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<p>FTIR spectra of β-cyclodextrin, ethyl ester, inclusion complex, physical mixture: (<b>a</b>) ethyl 2(2-((2-chlorophenyl)carbamoyl)phenoxy)acetate series; (<b>b</b>) ethyl 2-(2-((4-chlorophenyl) carbamoyl)phenoxy)acetate series.</p>
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<p>UV-vis spectra of β-cyclodextrin, ethyl ester, inclusion complex, physical mixture: (<b>a</b>) ethyl 2-(2-((2-chlorophenyl)carbamoyl)phenoxy)acetate series; (<b>b</b>) ethyl 2-(2-((4-chlorophenyl) carbamoyl)phenoxy)acetate series.</p>
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<p>TGA curves of β-cyclodextrin, ethyl ester, inclusion complex, physical mixture: (<b>a</b>) ethyl 2-(2-((2-chlorophenyl)carbamoyl)phenoxy)acetate series; (<b>b</b>) ethyl 2-(2-((4-chlorophenyl) carbamoyl)phenoxy)acetate series.</p>
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<p>Synthetic pathway for salicylanilide derivatives.</p>
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<p>The numbering of aromatic nuclei.</p>
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<p>Structures of the two components of the ethyl ester–β-cyclodextrin complexes.</p>
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13 pages, 4322 KiB  
Article
Cellular and Molecular Mechanisms and Effects of Berberine on Obesity-Induced Inflammation
by Ji-Won Noh, Min-Soo Jun, Hee-Kwon Yang and Byung-Cheol Lee
Biomedicines 2022, 10(7), 1739; https://doi.org/10.3390/biomedicines10071739 - 19 Jul 2022
Cited by 15 | Viewed by 3183
Abstract
Obesity represents chronic low-grade inflammation that precipitates type 2 diabetes, cardiovascular disease, and cancer. Berberine (BBR) has been reported to exert anti-obesity and anti-inflammatory benefits. We aimed to demonstrate the underlying immune-modulating mechanisms of anti-obesity effects of BBR. First, we performed in silico [...] Read more.
Obesity represents chronic low-grade inflammation that precipitates type 2 diabetes, cardiovascular disease, and cancer. Berberine (BBR) has been reported to exert anti-obesity and anti-inflammatory benefits. We aimed to demonstrate the underlying immune-modulating mechanisms of anti-obesity effects of BBR. First, we performed in silico study to identify therapeutic targets, describe potential pathways, and simulate BBR docking at M1 and M2 adipose tissue macrophages (ATMs), tumor necrosis factor-α (TNF-α), C-C motif chemokine ligand 2 (CCL2), CCL4, CCL5, and C-X-C motif chemokine receptor 4 (CXCR4). Next, in vivo, we divided 20 C58BL/6 mice into four groups: normal chow, control (high fat diet (HFD)), HFD + BBR 100 mg/kg, and HFD + metformin (MET) 200 mg/kg. We evaluated body weight, organ weight, fat area in tissues, oral glucose and fat tolerance tests, HOMA-IR, serum lipids levels, population changes in ATMs, M1 and M2 subsets, and gene expression of TNF-α, CCL2, CCL3, CCL5, and CXCR4. BBR significantly reduced body weight, adipocyte size, fat deposition in the liver, HOMA-IR, triglycerides, free fatty acids, ATM infiltration, all assessed gene expression, and enhanced the CD206+ M2 ATMs population. In conclusion, BBR treats obesity and its associated metabolic dysfunctions, by modulating ATM recruitment and polarization via chemotaxis inhibition. Full article
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<p>Therapeutic targets of BBR to treat obesity and the functional annotation analysis. (<b>a</b>) The 52 overlapping genes between BBR and obesity; (<b>b</b>) PPI network; (<b>c</b>) Top 10 genes with highest connectivity; (<b>d</b>) KEGG pathways analysis; (<b>e</b>) GO enrichment analysis. BBR: berberine, PPI: protein-protein interaction, KEGG: Kyoto Encyclopedia of Genes and Genomes, GO: gene ontology.</p>
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<p>Molecular docking simulation. (<b>a</b>) BBR and M1 macrophage; (<b>b</b>) BBR and M2 macrophage; (<b>c</b>) BBR and TNF; (<b>d</b>) BBR and CCL2; (<b>e</b>) BBR and CXCR4. M1 macrophage (PDB ID: 1GD0), M2 macrophage (PDB ID: 1JIZ), TNF-α (PDB ID: 2AZ5), CCL2 (PDB ID: 1DOK) and CXCR4 (PDB ID: 3ODU). Binding energy values are written on the top of each subfigure. BBR: berberine, TNF: tumor necrosis factor, CCL2: C-C motif chemokine ligand 2, CXCR4, C-X-C motif chemokine receptor 4.</p>
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<p>Changes in body weight, organ weight, and epididymal fat pads weight, and the fat area in the liver. (<b>a</b>) Body weight; (<b>b</b>) Food intake; (<b>c</b>) Epididymal fat pads weight; (<b>d</b>) Liver weight; (<b>e</b>) Histological results of the liver and epididymal fat pads; (<b>f</b>) Fat area in the liver; and (<b>g</b>) The size of adipocyte. In histological images stained by hematoxylin and eosin (H&amp;E), the scale bar indicates 5 μm in the liver and 100 μm in the epididymal fat. Data are presented as mean ± standard error of the mean (SEM). *** <span class="html-italic">p</span> &lt; 0.001 vs. the NC group and # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 and ### <span class="html-italic">p</span> &lt; 0.001 vs. the control group. NC: normal chow, HFD: high fat diet, BBR: berberine, MET: metformin.</p>
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<p>The population and polarization of ATMs and the gene expressions of chemokines. (<b>a</b>) Flow cytometry results and gating strategy of CD45+ &amp; F4/80+ ATMs (red box); the populations of (<b>b</b>) CD45+ &amp; F4/80+ ATMs; (<b>c</b>) CD11c+ ATMs; (<b>d</b>) CD206+ ATMs; and the gene expressions of (<b>e</b>) F4/80; (<b>f</b>) TNF-α; (<b>g</b>) CCL2; (<b>h</b>) CCL4; (<b>i</b>) CCL5; and (<b>j</b>) CXCR4. Data are presented as mean ± standard error of the mean (SEM). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 vs. the NC group and # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 and ### <span class="html-italic">p</span> &lt; 0.001 vs. the control group. ATMs: adipose tissue macrophages, NC: normal chow, HFD: high fat diet, BBR: berberine, MET: metformin, TNF-α: tumor necrosis factor α, CCL2: C-C motif chemokine ligand 2, CCL4: C-C motif chemokine ligand 4, CCL5: C-C motif chemokine ligand 5, CXCR4, C-X-C motif chemokine receptor 4.</p>
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<p>Glucose- and lipid metabolism-related outcomes. (<b>a</b>) OGTT results, (<b>b</b>) AUC of OGTT, (<b>c</b>) OFTT results, (<b>d</b>) AUC of OFTT, (<b>e</b>) fasting blood glucose, (<b>f</b>) HOMA-IR (<b>g</b>) triglycerides (<b>h</b>) NEFA, (<b>i</b>) total cholesterol level, (<b>j</b>) LDL cholesterol level, (<b>k</b>) HDL cholesterol level, and (<b>l</b>) phospholipid level. Data are presented as mean ± standard error of the mean (SEM). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 vs. the NC group and # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 and ### <span class="html-italic">p</span> &lt; 0.001 vs. the control group. AUC: area under curve, OGTT: oral glucose tolerance test, OFTT: oral fat tolerance test, HOMA-IR, homeostatic model assessment for insulin resistance, NEFA: non-esterified fatty acid, LDL: low-density lipoprotein, HDL: high-density lipoprotein NC: normal chow, HFD: high fat diet, BBR: berberine, MET: metformin.</p>
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18 pages, 1467 KiB  
Review
Site-Specific Considerations on Engineered T Cells for Malignant Gliomas
by Nirmeen Elmadany, Obada T. Alhalabi, Michael Platten and Lukas Bunse
Biomedicines 2022, 10(7), 1738; https://doi.org/10.3390/biomedicines10071738 - 19 Jul 2022
Cited by 11 | Viewed by 4880
Abstract
Immunotherapy has revolutionized cancer treatment. Despite the recent advances in immunotherapeutic approaches for several tumor entities, limited response has been observed in malignant gliomas, including glioblastoma (GBM). Conversely, one of the emerging immunotherapeutic modalities is chimeric antigen receptors (CAR) T cell therapy, which [...] Read more.
Immunotherapy has revolutionized cancer treatment. Despite the recent advances in immunotherapeutic approaches for several tumor entities, limited response has been observed in malignant gliomas, including glioblastoma (GBM). Conversely, one of the emerging immunotherapeutic modalities is chimeric antigen receptors (CAR) T cell therapy, which demonstrated promising clinical responses in other solid tumors. Current pre-clinical and interventional clinical studies suggest improved efficacy when CAR-T cells are delivered locoregionally, rather than intravenously. In this review, we summarize possible CAR-T cell administration routes including locoregional therapy, systemic administration with and without focused ultrasound, direct intra-arterial drug delivery and nanoparticle-enhanced delivery in glioma. Moreover, we discuss published as well as ongoing and planned clinical trials involving CAR-T cell therapy in malignant glioma. With increasing neoadjuvant and/or adjuvant combinatorial immunotherapeutic concepts and modalities with specific modes of action for malignant glioma, selection of administration routes becomes increasingly important. Full article
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<p>Graphical abstract representing the different routes of chimeric antigen receptor (CAR) T cell therapy administration in malignant gliomas. CAR T cell therapy is one of the immunotherapeutic modalities under the umbrella of adoptive T cell therapy. CAR T cells are genetically modified autologous T cells that carry CARs to better recognize and attack cancer cells. The construct composed of antibody-derived extracellular ligand-binding domain, a hinging transmembrane domain and an intracellular T cell receptor (TCR)-derived signaling domain fortified with other co-stimulatory domains. Examples of GTAs that are targeted in clinical trials are GD2, IL13Ra2, HER2, B7-H3, EGFRvIII, EphA2 and chlorotoxin. Other GTAs that are under preclinical investigations include P32 and CSPG4. Several routes of administration are available for CAR T cell therapy but vary in the efficacy and safety; including locoregional delivery, FUS-aided delivery, nanotechnology-based delivery, intravenous and intra-arterial delivery. GTA; glioma target antigens, CARs; chimeric antigen receptors, GD2; disialoganglioside 2, IL13Ra2; interleukin 13 receptor subunit alpha 2, HER2; Human epidermal growth factor receptor 2, B7-H3; B7 Homolog 3, EGFRvIII; epidermal growth factor receptor variant III, EphA2; Ephrin type-A receptor 2 and FUS; Focused Ultrasound. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>.</p>
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15 pages, 620 KiB  
Article
Anti-PD-1 Monotherapy in Advanced Melanoma—Real-World Data from a 77-Month-Long Retrospective Observational Study
by Daniella Kuzmanovszki, Norbert Kiss, Béla Tóth, Tünde Kerner, Veronika Tóth, József Szakonyi, Kende Lőrincz, Judit Hársing, Eleonóra Imrédi, Alexa Pfund, Ákos Szabó, Valentin Brodszky, Fanni Rencz and Péter Holló
Biomedicines 2022, 10(7), 1737; https://doi.org/10.3390/biomedicines10071737 - 19 Jul 2022
Cited by 12 | Viewed by 2604
Abstract
Real-world evidence plays an important role in the assessment of efficacy and safety of novel therapies. The increasing use of immune checkpoint inhibitors (ICIs) in patients with advanced melanoma has led to notably improved clinical outcomes, while they are also associated with immune-related [...] Read more.
Real-world evidence plays an important role in the assessment of efficacy and safety of novel therapies. The increasing use of immune checkpoint inhibitors (ICIs) in patients with advanced melanoma has led to notably improved clinical outcomes, while they are also associated with immune-related adverse events (irAEs). The majority of the available data are based on clinical trials, where the investigated subjects often do not adequately represent the general patient population of the everyday practice. Although there is a niche of objective biomarkers for the future treatment response of ICIs, certain studies suggest that irAEs may be predictive. The aim of this study was to carry out a retrospective analysis of treatment data from patients with advanced melanoma, treated with a single anti-PD-1 agent (pembrolizumab or nivolumab) during a 77-month-long period. Treatment efficacy and occurrence of adverse events were analyzed to identify potential predictive markers. Primary and secondary endpoints were the overall survival (OS) and progression-free survival (PFS). In our cohort, we demonstrated that the occurrence of more than one irAE showed a correlation with response to PD-1 ICI therapy and improved the OS and PFS. Our study suggests, that the grade of toxicity of the irAE may affect the survival rate. Full article
(This article belongs to the Special Issue Diagnostics and Therapeutics of Melanoma)
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<p>Kaplan–Meier survival estimates the survival. (<b>A</b>) OS in whole population, (<b>B</b>) PFS for whole population, (<b>C</b>) OS according to BRAF status, HR for death for patients with BRAF mutation was 1.96 (95% CI 1.02–3.77, <span class="html-italic">p</span> = 0.004), (<b>D</b>) PFS according to BRAF status, HR for progression for patients with BRAF mutation was 2.68 (95% CI 1.26–5.72, <span class="html-italic">p</span> = 0.011), (<b>E</b>) OS according to presence of brain metastases, HR for death 0.84 (95% CI 0.09–7.73, <span class="html-italic">p</span> = 0.880), (<b>F</b>) PFS according to presence of brain metastases, HR for progression 1.62 (95% CI 0.18–14.25, <span class="html-italic">p</span> = 0.666), (<b>G</b>) OS according to irAE, HR for death 0.3 (95% CI 0.14–0.64, <span class="html-italic">p</span> = 0.02), (<b>H</b>) PFS according to irAE, HR for progression 0.26 (95% CI 0.13–0.54, <span class="html-italic">p</span> = 0.000), (<b>I</b>) OS according to response of therapy, HR for death 0.14 (95% CI 0.05–0.43, <span class="html-italic">p</span> = 0.001), (<b>J</b>) PFS according to response of therapy, HR for progression 2.06 (95% CI 0.24–17.84, <span class="html-italic">p</span> = 0.511). OS—overall survival, PFS—progression-free survival, HR—hazard ratio, NR—not reached, CR—complete response, PR—partial response, SD—stable disease, PD—progressive disease.</p>
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