[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (68)

Search Parameters:
Keywords = immunothrombosis

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
27 pages, 719 KiB  
Review
From Cell Interactions to Bedside Practice: Complete Blood Count-Derived Biomarkers with Diagnostic and Prognostic Potential in Venous Thromboembolism
by Emma Eugenia Murariu-Gligor, Simona Mureșan and Ovidiu Simion Cotoi
J. Clin. Med. 2025, 14(1), 205; https://doi.org/10.3390/jcm14010205 - 2 Jan 2025
Viewed by 1067
Abstract
Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, is a significant burden on health and economic systems worldwide. Improved VTE management calls for the integration of biomarkers into diagnostic algorithms and scoring systems for risk assessment, possible complications, and mortality. This [...] Read more.
Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, is a significant burden on health and economic systems worldwide. Improved VTE management calls for the integration of biomarkers into diagnostic algorithms and scoring systems for risk assessment, possible complications, and mortality. This literature review discusses novel biomarkers with potential diagnostic and prognostic value in personalized VTE management. The pathophysiology of thrombosis starts with cell interactions in the vascular environment and continues with more complex, recently discussed processes such as immunothrombosis and thromboinflammation. Their clinical applicability is in the use of complete blood count (CBC)-derived immuno-inflammatory indices as attractive, readily available biomarkers that reflect pro-thrombotic states. Indices such as the neutrophil-to-lymphocyte ratio (NLR = neutrophil count divided by lymphocyte count), platelet-to-lymphocyte ratio (PLR = platelet count divided by lymphocyte count), and systemic immune-inflammation index (SII = NLR multiplied by platelet count) have demonstrated predictive value for thromboembolic events. Nevertheless, confounding data regarding cutoffs that may be implemented in clinical practice limit their applicability. This literature review aims to investigate neutrophil and platelet interactions as key drivers of immunothrombosis and thromboinflammation while summarizing the relevant research on the corresponding CBC-derived biomarkers, as well as their potential utility in day-to-day clinical practice. Full article
(This article belongs to the Special Issue Recent Advances in Pulmonary Embolism and Thrombosis)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Neutrophils and platelets as key drivers of thrombosis.</p>
Full article ">
17 pages, 1367 KiB  
Review
The Basic Principles of Pathophysiology of Venous Thrombosis
by Sam Schulman, Alexander Makatsariya, Jamilya Khizroeva, Victoria Bitsadze and Daredzhan Kapanadze
Int. J. Mol. Sci. 2024, 25(21), 11447; https://doi.org/10.3390/ijms252111447 - 24 Oct 2024
Viewed by 3193
Abstract
The past few decades have brought tremendous insight into the molecular and pathophysiological mechanisms responsible for thrombus generation. For a clinician, it is usually sufficient to explain the incident of deep vein thrombosis (DVT) with provoking factors such as trauma with vascular injury, [...] Read more.
The past few decades have brought tremendous insight into the molecular and pathophysiological mechanisms responsible for thrombus generation. For a clinician, it is usually sufficient to explain the incident of deep vein thrombosis (DVT) with provoking factors such as trauma with vascular injury, immobilization, hormonal factors, or inherited or acquired coagulation defects. About half of DVTs are, however, lacking such triggers and are called unprovoked. Venous stasis and hypoxia at the valve sinus level may start a chain of reactions. The concept of immunothrombosis has added a new dimension to the old etiological triad of venous stasis, vessel wall injury, and changes in blood components. This is particularly important in COVID-19, where hyperinflammation, cytokines, and neutrophil extracellular traps are associated with the formation of microthrombi in the lungs. To better understand the mechanisms behind DVT and reach beyond the above-mentioned simplifications, animal models and clinical epidemiological studies have brought insight into the complex interplay between leukocytes, platelets, endothelium, cytokines, complements, and coagulation factors and inhibitors. These pathways and the interplay will be reviewed here, as well as the roles of cancer, anticancer drugs, and congenital thrombophilic defects on the molecular level in hypercoagulability and venous thromboembolism. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
Show Figures

Figure 1

Figure 1
<p>The main hypoxia-induced pathways of thrombus formation. PKC—protein kinase C; ERK—extracellular signal-regulated kinase; EGR—early growth response; HIF—hypoxia-inducible factor; TF—tissue factor; PAI—plasminogen activator inhibitor.</p>
Full article ">Figure 2
<p>Coagulation pathways’ activation through NETs’ release and platelets’ activation. VWF—von Willebrand factor; NETs—neutrophil extracellular traps; PolyP—polyphosphate.</p>
Full article ">Figure 3
<p>The tumor- and treatment-related thrombogenic mechanisms.</p>
Full article ">
63 pages, 4863 KiB  
Review
Immunity and Coagulation in COVID-19
by Piotr P. Avdonin, Maria S. Blinova, Anastasia A. Serkova, Lidia A. Komleva and Pavel V. Avdonin
Int. J. Mol. Sci. 2024, 25(20), 11267; https://doi.org/10.3390/ijms252011267 - 19 Oct 2024
Viewed by 2046
Abstract
Discovered in late 2019, the SARS-CoV-2 coronavirus has caused the largest pandemic of the 21st century, claiming more than seven million lives. In most cases, the COVID-19 disease caused by the SARS-CoV-2 virus is relatively mild and affects only the upper respiratory tract; [...] Read more.
Discovered in late 2019, the SARS-CoV-2 coronavirus has caused the largest pandemic of the 21st century, claiming more than seven million lives. In most cases, the COVID-19 disease caused by the SARS-CoV-2 virus is relatively mild and affects only the upper respiratory tract; it most often manifests itself with fever, chills, cough, and sore throat, but also has less-common mild symptoms. In most cases, patients do not require hospitalization, and fully recover. However, in some cases, infection with the SARS-CoV-2 virus leads to the development of a severe form of COVID-19, which is characterized by the development of life-threatening complications affecting not only the lungs, but also other organs and systems. In particular, various forms of thrombotic complications are common among patients with a severe form of COVID-19. The mechanisms for the development of thrombotic complications in COVID-19 remain unclear. Accumulated data indicate that the pathogenesis of severe COVID-19 is based on disruptions in the functioning of various innate immune systems. The key role in the primary response to a viral infection is assigned to two systems. These are the pattern recognition receptors, primarily members of the toll-like receptor (TLR) family, and the complement system. Both systems are the first to engage in the fight against the virus and launch a whole range of mechanisms aimed at its rapid elimination. Normally, their joint activity leads to the destruction of the pathogen and recovery. However, disruptions in the functioning of these innate immune systems in COVID-19 can cause the development of an excessive inflammatory response that is dangerous for the body. In turn, excessive inflammation entails activation of and damage to the vascular endothelium, as well as the development of the hypercoagulable state observed in patients seriously ill with COVID-19. Activation of the endothelium and hypercoagulation lead to the development of thrombosis and, as a result, damage to organs and tissues. Immune-mediated thrombotic complications are termed “immunothrombosis”. In this review, we discuss in detail the features of immunothrombosis associated with SARS-CoV-2 infection and its potential underlying mechanisms. Full article
(This article belongs to the Special Issue New Advances in Molecular Research of Coronavirus)
Show Figures

Figure 1

Figure 1
<p>Structure and function of toll-like receptors (TLRs). TLRs are present on the cell surface and in the endosomes of many cell types. In resting cells, TLRs are present on the membrane in a monomeric state, but upon interaction with ligands they form dimers: homodimers (in most cases) or heterodimers (e.g., TLR2/TLR1). Binding of pathogen-associated molecular patterns (PAMPs) or patterns associated with damage to the body’s own cells (DAMPs) by the TLR receptor causes its dimerization and conformational changes in its structure. These conformational changes transmit a signal from the external domain responsible for ligand-binding to the internal TIR domain, activating it. For further signal transmission inside the cell, the TIR domain can recruit several adapter proteins, thereby activating two main signaling pathways: the MyD88-dependent pathway and the TRIF-dependent pathway. Ultimately, these signaling pathways trigger the expression of genes encoding proinflammatory cytokines, chemokines, and costimulatory molecules.</p>
Full article ">Figure 2
<p>Scheme of complement-activation pathways. Activation of the classical pathway is initiated by binding of the antigen–antibody complex to factor C1q, which is part of the initiating complex C1. Complex C1 also contains 4 zymogens: 2 molecules of C1r and 2 molecules of C1s. Binding of the antigen–antibody complex to factor C1q causes autoactivation of C1r proteases. They then activate C1s proteases. C1s proteases sequentially cleave C4 to form fragments C4b and C4a, and C2 as part of a complex with C4b. As a result, the complex C4b2b—C3 convertase CP/LP is formed. The lectin pathway is activated by the complex of the pattern recognition receptor MBL or FCN with zymogens MASP-1, MASP-2, and MASP-3. By binding to polysaccharides on the pathogen surface, MBL/FCN activates the MASP-1 zymogen. In turn, the activated MASP-1 protease cleaves the MASP-2 zymogen. The activated MASP-2 protease cleaves C4 and C2, thereby mediating the formation of the C3 convertase CP/LP. The alternative activation pathway is based on spontaneous hydrolysis of C3, which results in the formation of the active form C3(H<sub>2</sub>O). C3(H<sub>2</sub>O) binds factor B, ensuring its cleavage by protease D. As a result, the initiating C3 convertase of the alternative pathway C3(H<sub>2</sub>O)Bb is formed. It cleaves C3 to form fragments C3b and C3a. C3b also binds factor B, ensuring its cleavage by protease D. As a result, the C3 convertase of the alternative pathway C3bBb is formed. C3 convertases C4b2b and C3bBb cleave C3 to form C3b and C3a fragments. In turn, the C3b fragment forms complexes with C3 convertases C4bC2bC3b and C3bBbC3b. These complexes are able to cleave factor C5 to form fragments C5b and C5a. C5b sequentially recruits complement factors C6-C9, forming a lytic membrane attack complex—a pore in the cytoplasmic membrane of the target cell. Anaphylatoxins C3a and C5a, small cleavage fragments of C3 and C5, respectively, do not participate in the formation of the lytic complex, but affect many immune/non-immune cells by mediating chemotaxis and inflammation and performing a number of other functions.</p>
Full article ">Figure 3
<p>Pathways of complement activation by the SARS-CoV-2 virus. The SARS-CoV-2 virus activates all three canonical complement pathways. At the very onset of infection, activation of the classical complement pathway can be mediated by natural antibodies to evolutionarily conserved epitopes and is enhanced by the appearance of antibodies specific to viral proteins. One of the mechanisms of lectin pathway activation may be direct potentiation of MASP-2 proteinase by the SARS-CoV2 N protein. The alternative complement pathway is activated by binding of protein S to heparan sulfate on the cell surface, which is thought to disrupt factor H function.</p>
Full article ">Figure 4
<p>Synergy between TLR signaling and the complement system as a potential factor for amplification of the inflammatory response in COVID-19. The SARS-CoV-2 virus activates TLRs and the complement system. Activation of toll-like receptors can occur both directly upon recognition of viral PAMPs and through recognition of DAMPs formed during virus-induced cell pyroptosis. Activation of TLR signaling pathways can cause increased activity of the complement system by activating the expression and secretion of complement factors B, C3, C1r, and C1s and increasing the sensitivity of cells to anaphylatoxin C5a. In turn, the complement system can enhance the TLR-mediated response through the C5a/C5aR and C3a/C3aR signaling pathways. Thus, interactions between TLRs and the complement system may enhance TLR signaling-mediated release of proinflammatory cytokines. This leads to an increase in the inflammatory response and a shift in the balance of naïve T cell differentiation in favor of Th-17 (↓—downregulation, ↑—upregulation).</p>
Full article ">Figure 5
<p>Potential mechanisms for the development of oxidative stress in COVID-19. The development of oxidative stress in COVID-19 can be mediated by several mechanisms: 1. Binding to the ACE2 receptor, the virus blocks the latter’s function of converting AngII into Ang (1–7), thereby causing the accumulation of AngII. AngII, through its receptor AT1R, stimulates the production of ROS by NADPH oxidase. 2. The virus activates the complement system and TLRs. On the one hand, this leads to the activation and mobilization of neutrophils which produce ROS. On the other hand, this can lead to activation of endothelial cells, which is accompanied by suppression of their antioxidant defense. 3. Hypoxia caused by viral pneumonia leads to an increase in the products of non-enzymatic breakdown of proteins and lipids, the end-products of which (AGE), binding to their RAGE receptor, thereby activate the production of ROS in cells.</p>
Full article ">Figure 6
<p>Changes in the adhesive properties of the endothelium under the influence of proinflammatory cytokines and complement anaphylatoxins (C3a and C5a). Cytokines TNFα, IL6, and IFN-γ, produced by macrophages and neutrophils, induce the expression of VCAM-1, ICAM-1, P-selectin, and E-selectin, both at the level of transcription and at the level of protein synthesis. C3a/C5a also have similar properties. Cell adhesion molecules expressed on the endothelial surface play an important role in the development of the inflammatory response, as they promote the migration of immune cells, including professional APCs (such as DCs), to the site of damage/inflammation.</p>
Full article ">Figure 7
<p>Activation of vascular endothelium and development of thrombosis. (<b>a</b>) Antithrombotic, anti-inflammatory, and profibrinolytic phenotype of endothelial cells (EC). Thrombomodulin on the EC plasma membrane binds thrombin, thereby excluding it from the blood coagulation system, and also accelerates the activation of protein C (PC), acting as a thrombin cofactor. At the same time, the endothelial protein C receptor (EPCR) binds PC and presents it to the thrombomodulin-thrombin complex for activation. Activated protein C exhibits its anticoagulant activity by binding to protein S and proteolytically inactivating FVa and FVIIIa. EC glycosaminoglycans bind antithrombin and act as its cofactor. (<b>b</b>) Activation of the endothelium during inflammation and the procoagulant state of EC. TF is expressed, as well as von Willebrand factor (vWF) and P-selectin. Multimeric vWF threads promote the formation of platelet aggregates. Increased production of plasminogen activator inhibitor-1 (PAI-1) leads to a limitation of fibrinolytic activity and an increased risk of thrombosis. P-selectin glycoprotein ligand 1 (PSGL-1), in addition to leukocytes, is expressed on platelets and promotes their interaction with the vascular endothelium during inflammation and/or hemostatic reactions. (<b>c</b>) Exocytosis of Weibel–Palade bodies leads to the release of vWF multimers in the form of threads. Normally, vWF activity is regulated by cleavage of large multimers by metalloproteinase ADAMTS-13. However, in various pathologies, there is a violation of the regulation of vWF activity, as a result of which the formation of large platelet aggregates and the development of microvascular thrombosis are observed. Such disturbances may be caused by excessive vWF release (in which ADAMTS-13 activity is insufficient) and/or ADAMTS-13 deficiency.</p>
Full article ">Figure 8
<p>The potential role of cytokines in procoagulant changes in the endothelium in COVID-19. Cytokines TNFα, IL-1 (IL-1α and IL-1β), IFN-γ, monocyte chemoattractant protein 1 (MCP-1), etc., through interaction with their receptors, stimulate the expression of TF on the surface of endothelial cells and monocytes/macrophages, while transforming growth factor β (TGF-β) and IL-10, reduce tissue factor expression induced by various stimuli. TNF suppresses the expression of protein C receptor (EPCR), while IL-1β stimulates the release of EPCR from endothelial cells, reducing the expression of EPCR on the EC surface and, accordingly, the rate of activation of protein C. Under the influence of TNF and IL-1, thrombomodulin activity and thrombomodulin gene expression in ECs decrease. The influence of cytokines on fibrinolysis is observed: TNF, IL-1, IL-10, and TGF-β stimulate the release of PAI-1 by endotheliocytes. TNF and IL-1 (etc.) are able to increase the release of uPA, but TNF and IL-1 suppress the release of tPA by endothelial cells. The anti-inflammatory cytokine IL-10 attenuates the systemic release of tPA and PAI-1. (↓—downregulation, ↑—upregulation).</p>
Full article ">
14 pages, 1183 KiB  
Article
Anti-Inflammatory Cytokine Profiles in Thrombotic Thrombocytopenic Purpura—Differences Compared to COVID-19
by Flóra Demeter, György Bihari, Dorina Vadicsku, György Sinkovits, Erika Kajdácsi, Laura Horváth, Marienn Réti, Veronika Müller, Zsolt Iványi, János Gál, László Gopcsa, Péter Reményi, Beáta Szathmáry, Botond Lakatos, János Szlávik, Ilona Bobek, Zita Z. Prohászka, Zsolt Förhécz, Tamás Masszi, István Vályi-Nagy, Zoltán Prohászka and László Cervenakadd Show full author list remove Hide full author list
Int. J. Mol. Sci. 2024, 25(18), 10007; https://doi.org/10.3390/ijms251810007 - 17 Sep 2024
Viewed by 1420
Abstract
Thromboinflammation/immunothrombosis plays a role in several diseases including thrombotic thrombocytopenic purpura (TTP) and COVID-19. Unlike the extensive research that has been conducted on COVID-19 cytokine storms, the baseline and acute phase cytokine profiles of TTP are poorly characterized. Moreover, we compared the cytokine [...] Read more.
Thromboinflammation/immunothrombosis plays a role in several diseases including thrombotic thrombocytopenic purpura (TTP) and COVID-19. Unlike the extensive research that has been conducted on COVID-19 cytokine storms, the baseline and acute phase cytokine profiles of TTP are poorly characterized. Moreover, we compared the cytokine profiles of TTP and COVID-19 to identify the disease-specific/general characteristics of thromboinflammation/immunothrombosis. Plasma concentrations of 33 soluble mediators (SMs: cytokines, chemokines, soluble receptors, and growth factors) were measured by multiplex bead-based LEGENDplex™ immunoassay from 32 COVID-19 patients (32 non-vaccinated patients in three severity groups), 32 TTP patients (remission/acute phase pairs of 16 patients), and 15 control samples. Mainly, the levels of innate immunity-related SMs changed in both diseases. In TTP, ten SMs decreased in both remission and acute phases compared to the control, one decreased, and two increased only in the acute phase compared to remission, indicating mostly anti-inflammatory changes. In COVID-19, ten pro-inflammatory SMs increased, whereas one decreased with increasing severity compared to the control. In severe COVID-19, sixteen SMs exceeded acute TTP levels, with only one higher in TTP. PCA identified CXCL10, IL-1RA, and VEGF as the main discriminators among their cytokine profiles. The innate immune response is altered in both diseases. The cytokine profile of TTP suggests a distinct pathomechanism from COVID-19 and supports referring to TTP as thromboinflammatory rather than immunothrombotic, emphasizing thrombosis over inflammation as the driving force of the acute phase. Full article
(This article belongs to the Section Molecular Immunology)
Show Figures

Figure 1

Figure 1
<p>Study design, patient cohorts, and analyses performed. In this study, we analyzed 33 soluble mediators using the LEGENDplex™ assay and validated our results by repeating MCP-1 measurements with sandwich ELISA. The cohort included 16 immune-mediated TTP patients with samples from both remission and acute phases, 32 COVID-19 patients, and 15 age- and gender-matched healthy controls. COVID-19 patients were categorized into three severity groups as follows: Covid 2 (n = 12) with no oxygen need, Covid 3 (n = 13) with oxygen support, and Covid 4 (n = 7) requiring ICU treatment. For certain analyses, the latter two groups were combined (Covid 3–4) and referred to as severe Covid. Patient groups are color-coded throughout the manuscript as follows: the control group in orange, TTP groups in blue, and COVID-19 groups in green, across all figures and tables. The Mann–Whitney, Wilcoxon, and Jonckheere tests, along with principal component analysis, were used to compare the levels of soluble mediators among patient groups.</p>
Full article ">Figure 2
<p><b>Soluble mediator profiles of TTP and COVID-19.</b> The same ratios of the logarithmically transformed median concentration values of the 33 SMs relative to control were plotted twice, each time using a different grouping method for better understanding. In (<b>A</b>), the SMs are grouped based on their changes in TTP (for further details, see <a href="#sec2dot2-ijms-25-10007" class="html-sec">Section 2.2</a> of the Results section), whereas in (<b>B</b>), they are grouped according to their changes in COVID-19 (ordered according to decreasing value of Covid median/control median in each group), as determined by statistical tests (see <a href="#app1-ijms-25-10007" class="html-app">Table S4</a>). Green boxes indicate elevated SM levels compared to control, red boxes signify decreased levels, yellow boxes represent no change, gray boxes show SMs below the detection limit in TTP (<b>A</b>) or COVID-19 (<b>B</b>), and the purple box indicates an ambiguous pattern.</p>
Full article ">Figure 3
<p><b>Comparison of soluble mediator profiles of acute TTP and severe COVID-19.</b> For the comparison of the cytokine profiles of acute TTP and COVID-19, the Covid 3 and Covid 4 groups were combined (Covid 3–4), and referred to as severe Covid. The logarithmically transformed fold change (FC) values (acute TTP-to-control ratio and Covid 3–4-to-control ratio) of the 33 SMs were plotted. SMs higher in Covid 3–4 than in acute TTP are plotted in green, those higher in acute TTP are in blue, and those with no significant difference are in yellow, based on Mann–Whitney tests. Simple linear regression for the SMs with no significant difference between the two disease groups is plotted.</p>
Full article ">Figure 4
<p><b>Principal component analysis.</b> Principal component analysis was performed on z-scores of concentrations, based on soluble mediators (SMs) which were significantly altered between the control and TTP remission (<b>A</b>), TTP acute and TTP remission (<b>B</b>), control and Covid 3–4 (<b>C</b>), and Covid 3–4 and TTP acute (<b>D</b>) groups. Three principal components (PCs) were calculated (and their R<sup>2</sup> values were plotted), of which the first two were visualized. The importance values of the SMs in each PC are shown in <a href="#app1-ijms-25-10007" class="html-app">Table S5</a>.</p>
Full article ">
17 pages, 43561 KiB  
Article
GSDMD-Dependent Neutrophil Extracellular Traps Mediate Portal Vein Thrombosis and Associated Fibrosis in Cirrhosis
by Ying Che, Youjung Chien, Yuli Zhu, Xiaoquan Huang, Ling Wu, Yingjie Ai, Siyu Jiang, Feng Li and Shiyao Chen
Int. J. Mol. Sci. 2024, 25(16), 9099; https://doi.org/10.3390/ijms25169099 - 22 Aug 2024
Cited by 1 | Viewed by 1666
Abstract
Portal vein thrombosis (PVT) is a challenging and controversial complication of cirrhosis. Experimental models that reproduce cirrhotic PVT and effective pharmacological therapies are limited. We aimed to investigate the nature course and mechanisms of PVT in cirrhosis. A novel PVT model was developed [...] Read more.
Portal vein thrombosis (PVT) is a challenging and controversial complication of cirrhosis. Experimental models that reproduce cirrhotic PVT and effective pharmacological therapies are limited. We aimed to investigate the nature course and mechanisms of PVT in cirrhosis. A novel PVT model was developed via two-step total portal vein ligation in healthy and thioacetamide (TAA)-cirrhotic rats. Circulating and liver-infiltrating neutrophils were isolated from individuals with cirrhosis to examine neutrophil extracellular traps (NETs) and explore their unique characteristics and implications in PVT-associated fibrosis in cirrhosis. We further validated macrophage–myofibroblast transition (MMT) via multiplex immunofluorescence and single-cell sequencing. In the experimental model, cirrhosis promoted PVT development and portal vein intimal thickening. Interestingly, cirrhosis promoted spontaneous resolution of PVT due to instability of thrombus structure, along with pulmonary and intrahepatic clots. NETs-MMT mediate cirrhotic PVT and PVT-associated fibrosis, including fibrotic thrombus remodeling and increased hepatic collagen deposition. Mechanistically, caspase-4-dependent activation of neutrophils and GSDMD mediated the formation of NETs. The extracellular DNA of NETs promoted TGF-β1/Smad3-driven MMT. Inhibiting GSDMD with disulfiram suppressed cirrhotic PVT and prevented associated fibrosis. The cirrhotic PVT model reflected the following three main characteristics of cirrhotic PVT: spontaneous resolution, immunothrombosis, and intimal fibrosis. Targeting NETs with GSDMD inhibitors may serve as a new therapeutic concept to treat cirrhotic PVT. Full article
(This article belongs to the Section Biochemistry)
Show Figures

Figure 1

Figure 1
<p>Natural course of PVT in the new model. (<b>A</b>) Experimental flowchart demonstrating two-stage total portal vein ligation performed by days −2 and 0, and assessment of PVT and liver using Ultrasound Shear Wave Dispersion. (<b>B</b>) Schematic illustration: First step: 70% of the portal vein was ligated by day −2. Second step: total portal vein and right gastric vein ligation were performed to produce an occlusive thrombus by day 0. (<b>C</b>) Left, representative images of PVT harvested from control and cirrhosis groups by days 2, 7, and 14. Right, measurements of the thrombus weight and length. (<b>D</b>) Representative images and (<b>E</b>–<b>G</b>) scattered bar graph quantifications: In vivo assessment of the viscoelasticity of the liver and PVT, portal vein wall in control and cirrhosis groups via ultrasound by days −2, 2, 7, and 14. The intimal thickness was too thin to measure in the control group by days −2, 2, and 7. The SWD and SWE indicate elasticity and viscosity, respectively. Red dotted lines demarcate the thrombus. The red boxes indicate the portal vein and its intima. In (<b>C</b>,<b>E</b>,<b>G</b>), each dot represents a single rat. Data represent mean with SEM. Statistical significance was determined by two-way ANOVA. * <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.</p>
Full article ">Figure 2
<p>Thrombus instability explained the spontaneous resolution of PVT in cirrhosis. (<b>A</b>) Representative images of PVT stained for collagen with Masson’s Trichrome (Masson), Martius Scarlet Blue (MSB), and Elastic Van Gieson (EVG) for elastin in both groups by days 2, 7, and 14. Scale bar = 200 µm (<b>B</b>) Quantification of portal vein intimal thickness and average percent thrombus occupied by collagen in both groups by days 2, 7, and 14. The collagen area was dyed blue by Masson, and the intimal thickness was determined with EVG. Each dot represents a single rat. (<b>C</b>) Effect of cirrhosis and the portal vein on the thrombus structure. Representative SEM images of PVT and DVT samples from the control and cirrhotic rats by day 2 post-thrombosis. Biconcave-shaped red blood cells (red arrowhead), polyhedral erythrocytes (blue arrowhead), fibrin networks (red arrow), and fibrin bundle (blue arrow). (<b>D</b>) QPCR analysis for genes IL-1β and TGF-β1 (<span class="html-italic">n</span> = 4–6 rats per group) of PVT in both groups by days 2, 7, and 14. (<b>E</b>) Representative H&amp;E staining images of PVT, lung, and liver of rats in the control and cirrhosis groups by days 2, 7, and 14 to distinguish the correlation among hepatic thrombi, pulmonary embolism, and PVT in cirrhosis. In the clots, the dark-red-stained area is RBC-rich, whereas the area of fibrin/platelets is stained light pink. Arrow indicates intrahepatic thrombosis. Triangle indicates pulmonary thrombosis. Scale bar = 200 µm. In (<b>B</b>,<b>D</b>), data represent the mean with SEM. Statistical significance was determined by two-way ANOVA. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 3
<p>NETs mediate PVT and associated inflammation in cirrhosis. (<b>A</b>) LPS levels of portal plasma, systemic plasma, and PVT (<b>B</b>) in both groups by days −2, 2, 7, and 14. (<b>C</b>) Extracellular dsDNA in the portal and peripheral plasma in both groups by days −2, 2, 7, and 14 (n = 8 rats per group). Each dot represents a single rat. (<b>D</b>) Representative immunofluorescence staining for typical NET markers (Cit-H3, MPO) in the PVT from both groups by days 2, 7, and 14. Scale bar = 200 µm (<b>E</b>) Representative immunofluorescence staining for NETs in the liver from both groups by days −2, 2, 7, and 14. Scale bar = 200 µm. (<b>F</b>) Western blotting analysis of typical NET marker (Cit-H3) protein levels in the PVT from both groups by days 2, 7, and 14. (<b>H</b>) Representative immunofluorescence staining for a typical NET marker in pulmonary and intrahepatic clots from the cirrhotic groups by day 2. In (<b>D</b>,<b>E</b>), bar graph quantifications are shown right below the respective histochemistry panels. In (<b>F</b>,<b>G</b>), bar graph quantifications are shown right below the respective Western blot. Statistical significance was determined by two-way ANOVA. * <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.</p>
Full article ">Figure 4
<p>Caspase-4-dependent activation of neutrophil-GSDMD promotes NETs formation in cirrhosis. (<b>A</b>) Experimental scheme: control and cirrhotic human liver tissues and blood were subjected to neutrophil and macrophage isolation. Neutrophils were treated with LEVD-CHO (caspase-4 inhibitor, 20 μM), disulfiram (GSDMD inhibitor, 30 µM), or vehicle 1 h before stimulation with LPS (10 µg/mL) for 4 h. (<b>B</b>) Representative Western blot micrograph showing uncleaved GSDMD and cleaved GSDMD-N, caspase-4, processed caspase-4, and Cit-H3 in the neutrophils of healthy individuals and cirrhotic patients with or without LPS. (<b>C</b>) Densitometric analyses of Western blot micrographs (representative example shown in panel b). (<b>D</b>) Representative Western blot micrograph showing uncleaved GSDMD, cleaved GSDMD-NT, caspase-4, processed caspase-4, and Cit-H3 in the neutrophils from cirrhotic patients with or without LEVD-CHO or disulfiram or vehicle. (<b>E</b>) Densitometric analyses of Western blot micrographs (representative example shown in panel (<b>D</b>)). (<b>F</b>) NETs production through immunofluorescence staining in circulating and liver-infiltrating neutrophils of cirrhotic patients with or without disulfiram. Scale bars = 100 µm. For (<b>C</b>,<b>E</b>), each dot represents a separate human subject. Mean ± SEM shown in (<b>C</b>) are compared using Student <span class="html-italic">t</span> test. Data in (<b>E</b>) are compared using paired Student t test. * <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; 0.0001.</p>
Full article ">Figure 5
<p>NETs directly promote macrophage-to-myofibroblast transdifferentiation in cirrhosis. (<b>A</b>) Representative immunofluorescent staining of ACTA2 (green) and CD68 (red) in monocytes exposed to NETs. Scale bars = 100 µm. (<b>B</b>) Western blot analysis for the ACTA2 expression of macrophages after coincubation with NETs, NETs plus DNase, or vehicle. (<b>C</b>) QPCR analysis for TGF-β signaling pathway genes in differentiated cells. Data are shown as mean ± SEM. (<b>D</b>) Representative immunofluorescence staining for MMT by co-expressing CD68 (red) and ACTA2 (green) in PVT from cirrhotic rats by day 7. Scale bar = 200 μm. (<b>E</b>) Reconstructed 3D modeling further demonstrates spindle-like myofibroblast morphology of MMT cells in the livers of cirrhotic rats with PVT by day 2. (<b>F</b>) Representative three-color immunofluorescence staining for CD68 (red), ACTA2 (green), and COL1A1 (white) in the livers of cirrhotic rats with PVT and without PVT. Scale bar = 200 µm. (<b>G</b>) TSNE plots showing cell populations (left panel) and expression of ACTA2 and CD68 (right panel) separately and superimposed together in the dataset. (<b>H</b>) Stratification of cells based on their levels of expression of ACTA2 and CD68. (<b>I</b>) Confocal imaging detected MMT in the liver from healthy individuals and cirrhotic patients. Scale bars = 200 µm.</p>
Full article ">Figure 6
<p>GSDMD inhibition with disulfiram inhibited cirrhotic PVT and associated fibrosis. (<b>A</b>) Experimental flowchart: Cirrhotic rats were administered two doses of the GSDMD inhibitor, disulfiram (80 mg/kg body weight each dose, intraperitoneally), the first dose 2 h before the second surgery, and the second dose 24 h after portal vein total ligation. Control mice were administered with a control vehicle. Forty-eight hours following portal vein total ligation, the rats were killed, and thrombus formation was evaluated. (<b>B</b>) Left, representative images of PVT in both groups by day 2. Right, measurements of the thrombus weight and length. (<b>C</b>) Plasma alanine aminotransferase (ALT) and aspartate aminotransferase (AST) from cirrhotic rats treated with disulfiram and vehicle by day 2. (<b>D</b>) The SWE and SWD of livers and PVT in both groups via ultrasound by day 2. (<b>E</b>) Immunofluorescence staining for NETs in PVT and livers from both groups by day 2. (<b>F</b>) Western blotting analysis of Cit-H3 protein levels in PVT and livers from both groups by day 2. (<b>G</b>) Representative immunofluorescent staining of ACTA2 (green) and CD68 (red) in livers from both groups. Scale bars = 200 µm. (<b>H</b>) Representative H&amp;E staining images of the lungs and livers in both groups by day 2. In (<b>B</b>,<b>D</b>), each dot represents a single rat. Data represent mean with SEM. Statistical significance was determined by paired Student t test. ** <span class="html-italic">p</span> &lt; 0.01. (<b>I</b>) Schematic diagram of this study: Cirrhosis promotes the formation and the spontaneous resolution of PVT, along with pulmonary and intrahepatic clots. Caspase-4/GSDMD-dependent neutrophil extracellular traps mediate how macrophages directly transdifferentiate into myofibroblasts, which leads to the production of collagen, and, furthermore, the aggravation of thrombus remodeling and hepatic collagen deposition. Inhibition of GSDMD mitigates cirrhotic PVT and prevents the associated fibrosis.</p>
Full article ">
9 pages, 237 KiB  
Review
Antiphospholipid Syndrome: Insights into Molecular Mechanisms and Clinical Manifestations
by Alessandra Ida Celia, Mattia Galli, Silvia Mancuso, Cristiano Alessandri, Giacomo Frati, Sebastiano Sciarretta and Fabrizio Conti
J. Clin. Med. 2024, 13(14), 4191; https://doi.org/10.3390/jcm13144191 - 18 Jul 2024
Cited by 2 | Viewed by 2998
Abstract
Antiphospholipid syndrome (APS) is a complex systemic autoimmune disorder characterized by a hypercoagulable state, leading to severe vascular thrombosis and obstetric complications. The 2023 ACR/EULAR guidelines have revolutionized the classification and understanding of APS, introducing broader diagnostic criteria that encompass previously overlooked cardiac, [...] Read more.
Antiphospholipid syndrome (APS) is a complex systemic autoimmune disorder characterized by a hypercoagulable state, leading to severe vascular thrombosis and obstetric complications. The 2023 ACR/EULAR guidelines have revolutionized the classification and understanding of APS, introducing broader diagnostic criteria that encompass previously overlooked cardiac, renal, and hematologic manifestations. Despite these advancements, diagnosing APS remains particularly challenging in seronegative patients, where traditional tests fail, yet clinical symptoms persist. Emerging non-criteria antiphospholipid antibodies offer promising new diagnostic and management avenues for these patients. Managing APS involves a strategic balance of cardiovascular risk mitigation and long-term anticoagulation therapy, though the use of direct oral anticoagulants remains contentious due to varying efficacy and safety profiles. This article delves into the intricate pathogenesis of APS, explores the latest classification criteria, and evaluates cutting-edge diagnostic tools and therapeutic strategies. Full article
15 pages, 2802 KiB  
Article
IL-8 Induces Neutrophil Extracellular Trap Formation in Severe Thermal Injury
by Ali Asiri, Jon Hazeldine, Naiem Moiemen and Paul Harrison
Int. J. Mol. Sci. 2024, 25(13), 7216; https://doi.org/10.3390/ijms25137216 - 29 Jun 2024
Viewed by 1901
Abstract
Neutrophil extracellular traps (NETs) have a dual role in the innate immune response to thermal injuries. NETs provide an early line of defence against infection. However, excessive NETosis can mediate the pathogenesis of immunothrombosis, disseminated intravascular coagulation (DIC) and multiple organ failure (MOF) [...] Read more.
Neutrophil extracellular traps (NETs) have a dual role in the innate immune response to thermal injuries. NETs provide an early line of defence against infection. However, excessive NETosis can mediate the pathogenesis of immunothrombosis, disseminated intravascular coagulation (DIC) and multiple organ failure (MOF) in sepsis. Recent studies suggest that high interleukin-8 (IL-8) levels in intensive care unit (ICU) patients significantly contribute to excessive NET generation. This study aimed to determine whether IL-8 also mediates NET generation in patients with severe thermal injuries. IL-8 levels were measured in serum samples from thermally injured patients with ≥15% of the total body surface area (TBSA) and healthy controls (HC). Ex vivo NET generation was also investigated by treating isolated neutrophils with serum from thermal injured patients or normal serum with and without IL-8 and anti-IL-8 antibodies. IL-8 levels were significantly increased compared to HC on days 3 and 5 (p < 0.05) following thermal injury. IL-8 levels were also significantly increased at day 5 in septic versus non-septic patients (p < 0.001). IL-8 levels were also increased in patients who developed sepsis compared to HC at days 3, 5 and 7 (p < 0.001), day 10 (p < 0.05) and days 12 and 14 (p < 0.01). Serum containing either low, medium or high levels of IL-8 was shown to induce ex vivo NETosis in an IL-8-dependent manner. Furthermore, the inhibition of DNase activity in serum increased the NET-inducing activity of IL-8 in vitro by preventing NET degradation. IL-8 is a major contributor to NET formation in severe thermal injury and is increased in patients who develop sepsis. We confirmed that DNase is an important regulator of NET degradation but also a potential confounder within assays that measure serum-induced ex vivo NETosis. Full article
(This article belongs to the Section Molecular Immunology)
Show Figures

Figure 1

Figure 1
<p><b>IL-8 levels in thermal injury:</b> (<b>A</b>) Shows IL-8 levels in Healthy Control (HC) and burns serum samples from admission to D14, D28, M3, M6, and M12. IL-8 levels were significantly increased on days 3 and 5 compared to HC. (<b>B</b>) A comparison between IL-8 levels in burns patients who developed sepsis or not. IL-8 levels were significantly higher in septic than non-septic burns on D5. (<b>C</b>,<b>D</b>) illustrate the IL-8 level differences for non-septic and septic burns, respectively, compared to HC IL-8 levels. Non-septic burns were not significantly different from HC. In burns patients who developed sepsis, IL-8 levels were significantly increased on days 5–14 compared to HC. <span class="html-italic">p</span> value *** &lt; 0.001, ** &lt; 0.01, * &lt; 0.05. (ns) not significant.</p>
Full article ">Figure 2
<p><b>IL-8 induces ex-vivo NETosis</b>. Isolated neutrophils were untreated as a negative control (UT) or stimulated with positive control (PMA), burn patient serum containing a high IL-8 (H IL-8) level (725.49 pg/mL), HC serum, 100 pg/mL recombinant IL-8 or HC serum supplemented with 100 pg/mL IL-8 for 4 h. Induced NETs were labelled with SYTOX Green and anti-citH3 Ab. Composite between cells double labelled with SYTOX and anti-citH3 Ab shows co-localisation. The scale bar represents 0.1 mm. Images are representative of five independent experiments.</p>
Full article ">Figure 3
<p><b>NET formation correlates with IL-8 levels in burns serum:</b> (<b>A</b>) Fluorescent microscopy of NETs induced by burns serum containing either high (H), medium (M) or low (L) levels of IL-8, compared to HC serum. Generated NETs were labelled with SYTOX green and an anti-CitH3 Ab. (<b>B</b>) Quantification of NETs in all treatment conditions. (<b>C</b>) CfDNA levels in the supernatants of treated neutrophils. [ANOVA <span class="html-italic">p</span> value] *** &lt; 0.001, ** &lt; 0.01, * &lt; 0.05. (ns) not significant. Data are representative of n = 5.</p>
Full article ">Figure 4
<p><b>DNase I inhibition induces more extensive NET formation by serum IL-8:</b> (<b>A</b>) Fluorescent microscopy of neutrophils stimulated with high (H), medium (M) or low (L) IL-8 levels in the absence or presence of 2.5 µM actin. Released chromatin was labelled with an anti-CitH3 Ab. (<b>B</b>) Comparison of NET formation by neutrophils stimulated with H, M, L IL-8, or HC supplemented with 100 pg/mL IL-8 with or without actin. (<b>C</b>) NET formation of H, M and L IL-8 serum. (<b>D</b>) cfDNA levels in burns IL-8 groups with or without actin. [<span class="html-italic">t</span>-test <span class="html-italic">p</span> value]: * &lt; 0.05, ** &lt; 0.01. (ns) not significant. Data are representative of n = 5.</p>
Full article ">Figure 5
<p><b>The effect of anti-IL-8 antibodies on NET formation.</b> NET quantification induced by burns serum from high (H), medium (M) or low (L) IL-8 samples, recombinant IL-8, anti-IL-8 Ab isotype, or supplemented HC serum in the presence of 2.5 µM actin and with or without anti-IL-8 Ab. [<span class="html-italic">t</span>-test <span class="html-italic">p</span> value]: * &lt; 0.05. (ns) not significant. Data are representative of n = 5.</p>
Full article ">Figure 6
<p><b>The overall IL-8 correlation with cfDNA levels in thermal injuries.</b> Significant overall correlation between IL-8 and cfDNA levels in thermal injuries (n = 96). <span class="html-italic">p</span> value: *** &lt; 0.0001.</p>
Full article ">
20 pages, 3148 KiB  
Article
Haemostatic Gene Expression in Cancer-Related Immunothrombosis: Contribution for Venous Thromboembolism and Ovarian Tumour Behaviour
by Valéria Tavares, Joana Savva-Bordalo, Mariana Rei, Joana Liz-Pimenta, Joana Assis, Deolinda Pereira and Rui Medeiros
Cancers 2024, 16(13), 2356; https://doi.org/10.3390/cancers16132356 - 27 Jun 2024
Cited by 2 | Viewed by 1437
Abstract
Ovarian cancer (OC) is the deadliest gynaecological malignancy. Identifying new prognostic biomarkers is an important research field. Haemostatic components together with leukocytes can drive cancer progression while increasing the susceptibility to venous thromboembolism (VTE) through immunothrombosis. Unravelling the underlying complex interactions offers the [...] Read more.
Ovarian cancer (OC) is the deadliest gynaecological malignancy. Identifying new prognostic biomarkers is an important research field. Haemostatic components together with leukocytes can drive cancer progression while increasing the susceptibility to venous thromboembolism (VTE) through immunothrombosis. Unravelling the underlying complex interactions offers the prospect of uncovering relevant OC prognostic biomarkers, predictors of cancer-associated thrombosis (CAT), and even potential targets for cancer therapy. Thus, this study evaluated the expression of F3, F5, F8, F13A1, TFPI1, and THBD in peripheral blood cells (PBCs) of 52 OC patients. Those with VTE after tumour diagnosis had a worse overall survival (OS) compared to their counterparts (mean OS of 13.8 ± 4.1 months and 47.9 ± 5.7 months, respectively; log-rank test, p = 0.001). Low pre-chemotherapy F3 and F8 expression levels were associated with a higher susceptibility for OC-related VTE after tumour diagnosis (χ2, p < 0.05). Regardless of thrombogenesis, patients with low baseline F8 expression had a shorter progression-free survival (PFS) than their counterparts (adjusted hazard ratio (aHR) = 2.54; p = 0.021). Among those who were not under platelet anti-aggregation therapy, low F8 levels were also associated with a shorter OS (aHR = 6.16; p = 0.006). Moving forward, efforts should focus on external validation in larger cohorts. Full article
(This article belongs to the Special Issue Ovarian Cancer Stem Cells and Tumor Microenvironment)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Progression-free survival (PFS) (<b>a</b>,<b>c</b>) and overall survival (OS) (<b>b</b>,<b>d</b>) by Kaplan–Meier and log-rank test for ovarian cancer (OC) patients according to venous thromboembolism (VTE) status. (<b>a</b>) No association between PFS and VTE (log-rank test, <span class="html-italic">p</span> = 0.239) was observed in the overall cohort (N = 35). (<b>c</b>) When patients with VTE before OC diagnosis were dismissed, a marginally significant impact was detected (long-rank test, <span class="html-italic">p</span> = 0.055). Specifically, those with OC-related VTE had a faster disease progression compared to their counterparts (mean PFS of 10.2 ± 3.2 months and 21.6 ± 3.8 months, respectively). (<b>b</b>) Considering the entire cohort (N = 35), a significant association between OS and VTE was observed (log-rank test, <span class="html-italic">p</span> = 0.022). Those with the condition had a lower survival time than their counterparts (mean OS of 22.2 ± 6.2 months and 47.9 ± 5.7 months, respectively). (<b>d</b>) The same was observed excluding those with VTE before OC diagnosis (log-rank test, <span class="html-italic">p</span> = 0.001). Specifically, patients with OC-related VTE and those without had a mean OS of 13.8 ± 4.1 months and 47.9 ± 5.7 months, respectively.</p>
Full article ">Figure 2
<p>Correlation between baseline haemostatic genes’ expression in peripheral blood cells (PBCs) in a cohort of ovarian cancer (OC) patients (N = 52) by Pearson’s correlation coefficient (P) test.</p>
Full article ">Figure 3
<p>Normalised relative expression levels of the evaluated genes (−ΔCq) in peripheral blood cells (PBCs) in a cohort of ovarian cancer (OC) patients before and after first-line chemotherapy: (<b>a</b>) <span class="html-italic">F3</span> expression; (<b>b</b>) <span class="html-italic">F5</span> expression; (<b>c</b>) <span class="html-italic">F8</span> expression; (<b>d</b>) <span class="html-italic">F13A1</span> expression; (<b>e</b>) <span class="html-italic">TFPI1</span> expression; and (<b>f</b>) <span class="html-italic">THBD</span> expression; paired <span class="html-italic">t</span>-test, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001; ns, non-significant.</p>
Full article ">Figure 4
<p>Normalised relative expression levels of the evaluated genes (−ΔCq) in peripheral blood cells (PBCs) in a cohort of ovarian cancer (OC) patients before first-line chemotherapy and in the context of venous thromboembolism (VTE): (<b>a</b>) <span class="html-italic">F3</span> expression; (<b>b</b>) <span class="html-italic">F5</span> expression; (<b>c</b>) <span class="html-italic">F8</span> expression; (<b>d</b>) <span class="html-italic">F13A1</span> expression; (<b>e</b>) <span class="html-italic">TFPI1</span> expression; and (<b>f</b>) <span class="html-italic">THBD</span> expression; one-way ANOVA followed by Dunnett’s test for multiple comparisons, ** <span class="html-italic">p</span> &lt; 0.01; ns, non-significant.</p>
Full article ">Figure 5
<p>Progression-free survival (PFS) (<b>a</b>) and overall survival (OS) (<b>b</b>) by Kaplan–Meier and log-rank test for ovarian cancer (OC) patients according to <span class="html-italic">F8</span> baseline expression in peripheral blood cells (PBCs). (<b>a</b>) Patients with low expression levels had a lower PFS than their counterparts (profile 4; mean PFS of 12.8 ± 1.6 months and 23.7 ± 3.5 months, respectively; log-rank test, <span class="html-italic">p</span> = 0.005). (<b>b</b>) Dismissing patients under platelet anti-aggregation therapy at OC diagnosis, those with low expression had an inferior OS compared to their counterparts (profile 4; mean OS of 27.5 ± 4.5 months and 53.7 ± 5.9 months, respectively; log-rank test, <span class="html-italic">p</span> = 0.008).</p>
Full article ">
12 pages, 9704 KiB  
Article
Venous Thromboembolism Management throughout the COVID-19 Era: Addressing Acute and Long-Term Challenges
by Maddalena Alessandra Wu, Alba Taino, Pietro Facchinetti, Valentina Rossi, Diego Ruggiero, Silvia Berra, Giulia Blanda, Nicola Flor, Chiara Cogliati and Riccardo Colombo
J. Clin. Med. 2024, 13(6), 1825; https://doi.org/10.3390/jcm13061825 - 21 Mar 2024
Cited by 1 | Viewed by 1320
Abstract
Background: COVID-19 increases the risk of venous thromboembolism (VTE) through a complex interplay of mechanisms collectively referred to as immunothrombosis. Limited data exist on VTE challenges in the acute setting throughout a dynamic long-term follow-up of COVID-19 patients compared to non-COVID-19 patients. The [...] Read more.
Background: COVID-19 increases the risk of venous thromboembolism (VTE) through a complex interplay of mechanisms collectively referred to as immunothrombosis. Limited data exist on VTE challenges in the acute setting throughout a dynamic long-term follow-up of COVID-19 patients compared to non-COVID-19 patients. The aim of the study was to investigate acute and long-term management and complications in VTE patients with and without COVID-19. Methods: A prospective, observational, single-center cohort study on VTE patients followed from the acute care stage until 24 months post-diagnosis. Results: 157 patients, 30 with COVID-19-associated VTE and 127 unrelated to COVID-19, were enrolled. The mean follow-up was 10.8 (±8.9) months. COVID-19 patients had fewer comorbidities (1.3 ± 1.29 vs. 2.26 ± 1.68, p < 0.001), a higher proportion of pulmonary embolism at baseline (96.7% vs. 76.4%, p = 0.01), and had a lower probability of remaining on anticoagulant therapy after three months (p < 0.003). The most used initial therapy was low-molecular-weight heparin in 130/157 cases, followed by long-term treatment with direct oral anticoagulants in 123/157. Two (6.7%) COVID-19 vs. three (2.4%) non-COVID-19 patients (p = 0.243) had major hemorrhagic events, all of them within the first three months. Four (3.1%) non-COVID-19 patients had VTE recurrence after six months. Three (2.4%) non-COVID-19 patients developed chronic thromboembolic pulmonary hypertension. There were no fatalities among patients with COVID-19, compared to a mortality of 12/127 (9.4%) in the non-COVID-19 subgroup (p = 0.027). Discussion: Our study offers a comprehensive overview of the evolving nature of VTE management, emphasizing the importance of personalized risk-based approaches, including a limited course of anticoagulation for most COVID-19-associated VTE cases and reduced-dose extended therapy for high-risk subsets. Full article
(This article belongs to the Section Intensive Care)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Probability of remaining on anticoagulant therapy during the follow-up. Patients with VTE associated with COVID-19 had, on average, a shorter duration of treatment compared to non-COVID-19 patients.</p>
Full article ">Figure 2
<p>Intraoperative findings of pulmonary endarterectomy in the three subjects who developed chronic thromboembolic pulmonary hypertension (CTEPH).</p>
Full article ">Figure 2 Cont.
<p>Intraoperative findings of pulmonary endarterectomy in the three subjects who developed chronic thromboembolic pulmonary hypertension (CTEPH).</p>
Full article ">
15 pages, 1719 KiB  
Review
NETworking for Health and in Disease: Neutrophil Extracellular Traps in Pediatric Surgical Care
by Maximilian Dölling, Martin Herrmann and Michael Boettcher
Children 2024, 11(3), 295; https://doi.org/10.3390/children11030295 - 1 Mar 2024
Cited by 2 | Viewed by 2712
Abstract
This comprehensive review examines the role of Neutrophil Extracellular Traps (NETs) in pediatric surgery. Focusing on NET formation, functions, and implications, this study highlights their dual impact in infection control and contribution to tissue damage after surgery. It covers the role of NET [...] Read more.
This comprehensive review examines the role of Neutrophil Extracellular Traps (NETs) in pediatric surgery. Focusing on NET formation, functions, and implications, this study highlights their dual impact in infection control and contribution to tissue damage after surgery. It covers the role of NET formation in a range of pediatric conditions including immunothrombosis, formation of peritoneal adhesions, appendicitis, burns, gallstones, tumors, and necrotizing enterocolitis (NEC). The results underscore the significance of NETs in fighting infections and their association with complications like sepsis and delayed wound healing. The breakdown products of NETs as a diagnostic tool of the clinical course of acute appendicitis will also be discussed. Understanding NET formation in the pathophysiology can potentially help to find new therapeutic approaches such as the application of DNase and elastase inhibitors to change the clinical course of various diseases in pediatric surgery such as improvement of wound healing, adhesion formation, NEC, and many more. Full article
(This article belongs to the Section Pediatric Surgery)
Show Figures

Figure 1

Figure 1
<p>Schematic overview of NETs in various diseases. Neutrophils invade the site of inflammation and are activated. Activated neutrophils can perform NET formation. Dysregulation of NET homeostasis can lead to various diseases relevant to pediatric surgery.</p>
Full article ">Figure 2
<p>Immune fluorescence image of a transection of small intestine after acute perforation with neutrophil extracellular traps (NETs) forming peritoneal adhesions attached to the outer surface of the gut. Left: An overlay image shows the co-localization of neutrophil elastase (NE, green) and DNA (DAPI, red), indicating the presence of NETs on the peritoneal and mesenchymal layers of the small intestine. Interestingly, vascular occlusions in submucosal and subserosal layers of the small intestine could be identified by native endogenous fluorescence (NEF) due to NEF properties of hemoglobin. Note the NEF signal being colocalized with NE, suggesting that vascular occlusions in the small intestine re-associated with substantial NET release in small blood vessels. Right: The secondary fluorescent-conjugated antibody binds specifically to the antibody against NE and shows almost no unspecific binding to human antigens compared to staining without primary antibody (wo1st). Figure created by M. Herrmann.</p>
Full article ">
15 pages, 4659 KiB  
Article
Evaluation of Glutathione in Spike Protein of SARS-CoV-2 Induced Immunothrombosis and Cytokine Dysregulation
by Brandon Norris, Abraham Chorbajian, John Dawi, Aishvaryaa Shree Mohan, Ira Glassman, Jacob Ochsner, Yura Misakyan, Arbi Abnousian, Anthony Kiriaki, Kayvan Sasaninia, Edith Avitia, Cesar Ochoa and Vishwanath Venketaraman
Antioxidants 2024, 13(3), 271; https://doi.org/10.3390/antiox13030271 - 22 Feb 2024
Cited by 2 | Viewed by 5940
Abstract
Thrombotic microangiopathy has been identified as a dominant mechanism for increased mortality and morbidity in coronavirus disease 2019 (COVID-19). In the context of severe COVID-19, patients may develop immunothrombosis within the microvasculature of the lungs, which contributes to the development of acute respiratory [...] Read more.
Thrombotic microangiopathy has been identified as a dominant mechanism for increased mortality and morbidity in coronavirus disease 2019 (COVID-19). In the context of severe COVID-19, patients may develop immunothrombosis within the microvasculature of the lungs, which contributes to the development of acute respiratory distress syndrome (ARDS), a leading cause of death in the disease. Immunothrombosis is thought to be mediated in part by increased levels of cytokines, fibrin clot formation, and oxidative stress. Glutathione (GSH), a well-known antioxidant molecule, may have therapeutic effects in countering this pathway of immunothrombosis as decreased levels of (GSH) have been associated with increased viral replication, cytokine levels, and thrombosis, suggesting that glutathione supplementation may be therapeutic for COVID-19. GSH supplementation has never been explored as a means of treating COVID-19. This study investigated the effectiveness of liposomal glutathione (GSH) as an adjunctive therapy for peripheral blood mononuclear cells (PBMC) treated with SARS CoV-2 spike protein. Upon the addition of GSH to cell cultures, cytokine levels, fibrin clot formation, oxidative stress, and intracellular GSH levels were measured. The addition of liposomal-GSH to PBMCs caused a statistically significant decrease in cytokine levels, fibrin clot formation, and oxidative stress. The addition of L-GSH to spike protein and untreated PBMCs increased total intracellular GSH, decreased IL-6, TGF-beta, and TNF-alpha levels, decreased oxidative stress, as demonstrated through MDA, and decreased fibrin clot formation, as detected by fluorescence microscopy. These findings demonstrate that L-GSH supplementation within a spike protein-treated PBMC cell culture model reduces these factors, suggesting that GSH supplementation should be explored as a means of reducing mediators of immunothrombosis in COVID-19. Full article
(This article belongs to the Special Issue Antioxidant Enzymes in Cancer Biology)
Show Figures

Figure 1

Figure 1
<p>Schematic of study methods, where PBMCs were cultured from healthy subjects and treated with no L-GSH, 40 mM L-GSH, or 80 mM L-GSH, in addition to no spike protein, 5 ng/mL spike protein, or 10 ng/mL spike protein. Cell cultures were terminated at 1 h, 3 days, or 7 days post-treatment, and cell culture media and centrifuged pellets were then used for assays, including GSH, MDA, cytokine ELISA, and microclot fluorescent studies.</p>
Full article ">Figure 2
<p>Total GSH levels in human PBMCs normalized against total PBMC protein levels. (<b>A</b>) Total GSH levels were measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; (<b>B</b>) total GSH levels were measured in the same groups as <a href="#antioxidants-13-00271-f002" class="html-fig">Figure 2</a>A at 3 days post-treatment; (<b>C</b>) total GSH levels were measured in the same groups as <a href="#antioxidants-13-00271-f002" class="html-fig">Figure 2</a>A at 7 days post-treatment. Comparisons were made using one-way ANOVA. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.01 (**), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant.</p>
Full article ">Figure 3
<p>Measurements of IL-6 levels in human PBMCs normalized against total protein. (<b>A</b>) IL-6 levels were measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; (<b>B</b>) total IL-6 levels were measured in the same groups as <a href="#antioxidants-13-00271-f003" class="html-fig">Figure 3</a>A at 3 days post-treatment; (<b>C</b>) total IL-6 levels were measured in the same groups as <a href="#antioxidants-13-00271-f003" class="html-fig">Figure 3</a>A at 7 days post-treatment. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.01 (**), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant.</p>
Full article ">Figure 4
<p>Measurements of TGF-β levels in human PBMCs normalized against total protein. (<b>A</b>) TGF-β levels were measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; (<b>B</b>) total TGF-β levels were measured in the same groups as <a href="#antioxidants-13-00271-f004" class="html-fig">Figure 4</a>A at 3 days post-treatment; (<b>C</b>) total TGF-β levels were measured in the same groups as <a href="#antioxidants-13-00271-f004" class="html-fig">Figure 4</a>A at 7 days post-treatment. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.01 (**), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant.</p>
Full article ">Figure 5
<p>Measurements of TNF-α levels in human PBMCs normalized against total protein. (<b>A</b>) TNF-α levels were measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; (<b>B</b>) total TNF-α levels were measured in the same groups as <a href="#antioxidants-13-00271-f005" class="html-fig">Figure 5</a>A at 3 days post-treatment; (<b>C</b>) total TNF-α levels were measured in the same groups as <a href="#antioxidants-13-00271-f005" class="html-fig">Figure 5</a>A at 7 days post-treatment. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.01 (**), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant.</p>
Full article ">Figure 6
<p>Measurement of malondialdehyde levels in human PBMCs normalized against total protein. (<b>A</b>) MDA levels were measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; (<b>B</b>) total GSH levels were measured in the same groups as <a href="#antioxidants-13-00271-f006" class="html-fig">Figure 6</a>A at 3 days post-treatment; (<b>C</b>) total GSH levels were measured in the same groups as <a href="#antioxidants-13-00271-f006" class="html-fig">Figure 6</a>A at 7 days post-treatment. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*) and &lt;0.005 (**) are considered significant.</p>
Full article ">Figure 7
<p>Measurement of mean thioflavin fluorescence intensity in human PBMC at 1 h. (<b>A</b>) Mean thioflavin T fluorescence intensity was measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment. Comparisons were made using one-way ANOVA. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant. (<b>B</b>) Microscopic visualization of thioflavin T fluorescence intensity in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP at 1 h post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 1 h post-treatment.</p>
Full article ">Figure 8
<p>Measurement of mean thioflavin fluorescence intensity in human PBMC at day 3. (<b>A</b>) Mean thioflavin T fluorescence intensity was measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 3 days post-treatment. Comparisons were made using one-way ANOVA. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant. (<b>B</b>) Microscopic visualization of thioflavin T fluorescence intensity in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP at 3 days post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP at 3 days post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 3 days post-treatment.</p>
Full article ">Figure 9
<p>Measurement of mean thioflavin fluorescence intensity in human PBMC at day 7. (<b>A</b>) Mean thioflavin T fluorescence intensity was measured in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP, 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP, 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 7 days post-treatment. Comparisons were made using one-way ANOVA. Statistically significant <span class="html-italic">p</span>-values are indicated by asterisks, and <span class="html-italic">p</span>-values &lt; 0.05 (*), &lt;0.001 (***), and &lt;0.0001 (****) are considered significant. (<b>B</b>) Microscopic visualization of thioflavin T fluorescence intensity in untreated human PBMCs, PBMCs treated with either 5 ng/mL spike protein (SP), 10 ng/mL SP at 7 days post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 40 mM liposomal GSH (L-GSH), 40 mM L-GSH plus 5 ng/mL SP, 40 mM L-GSH plus 10 ng/mL SP at 7 days post-treatment; microscopic visualization of thioflavin T fluorescence intensity in 80 mM L-GSH, 80 mM L-GSH plus 5 ng/mL SP, or 80 mM L-GSH plus 10 ng/mL SP at 7 days post-treatment.</p>
Full article ">
10 pages, 1105 KiB  
Review
The Impact of Pathogens on Sepsis Prevalence and Outcome
by Birte Dyck, Matthias Unterberg, Michael Adamzik and Björn Koos
Pathogens 2024, 13(1), 89; https://doi.org/10.3390/pathogens13010089 - 20 Jan 2024
Cited by 9 | Viewed by 5519
Abstract
Sepsis, a severe global healthcare challenge, is characterized by significant morbidity and mortality. The 2016 redefinition by the Third International Consensus Definitions Task Force emphasizes its complexity as a “life-threatening organ dysfunction caused by a dysregulated host response to infection”. Bacterial pathogens, historically [...] Read more.
Sepsis, a severe global healthcare challenge, is characterized by significant morbidity and mortality. The 2016 redefinition by the Third International Consensus Definitions Task Force emphasizes its complexity as a “life-threatening organ dysfunction caused by a dysregulated host response to infection”. Bacterial pathogens, historically dominant, exhibit geographic variations, influencing healthcare strategies. The intricate dynamics of bacterial immunity involve recognizing pathogen-associated molecular patterns, triggering innate immune responses and inflammatory cascades. Dysregulation leads to immunothrombosis, disseminated intravascular coagulation, and mitochondrial dysfunction, contributing to the septic state. Viral sepsis, historically less prevalent, saw a paradigm shift during the COVID-19 pandemic, underscoring the need to understand the immunological response. Retinoic acid-inducible gene I-like receptors and Toll-like receptors play pivotal roles, and the cytokine storm in COVID-19 differs from bacterial sepsis. Latent viruses like human cytomegalovirus impact sepsis by reactivating during the immunosuppressive phases. Challenges in sepsis management include rapid pathogen identification, antibiotic resistance monitoring, and balancing therapy beyond antibiotics. This review highlights the evolving sepsis landscape, emphasizing the need for pathogen-specific therapeutic developments in a dynamic and heterogeneous clinical setting. Full article
Show Figures

Figure 1

Figure 1
<p>Pathogen prevalence in positive isolates in different cohorts over time, based on the publications of Vincent et al. 2006 [<a href="#B12-pathogens-13-00089" class="html-bibr">12</a>], Moreno et al. 2008 [<a href="#B13-pathogens-13-00089" class="html-bibr">13</a>], and Umemura et al. 2021 [<a href="#B8-pathogens-13-00089" class="html-bibr">8</a>].</p>
Full article ">Figure 2
<p>Simplified immune response during sepsis upon infection with a pathogen. Created with BioRender.com. PAMP = pathogen-associated molecular pattern; PRR = pattern-recognition receptor; DAMP = damage-associated molecular pattern; ROS = reactive oxygen species; NETosis = neutrophil extracellular trap formation; DIC = disseminated intravascular coagulation; ARDS = Acute Respiratory Distress Syndrome; MODS = Multiple Organ Dysfunction Syndrome; CRP = C-reactive protein, red upward arrow indicate elevated concentration.</p>
Full article ">
25 pages, 1170 KiB  
Review
Endpoints in NASH Clinical Trials: Are We Blind in One Eye?
by Amedeo Lonardo, Stefano Ballestri, Alessandro Mantovani, Giovanni Targher and Fernando Bril
Metabolites 2024, 14(1), 40; https://doi.org/10.3390/metabo14010040 - 8 Jan 2024
Cited by 8 | Viewed by 3622
Abstract
This narrative review aims to illustrate the notion that nonalcoholic steatohepatitis (NASH), recently renamed metabolic dysfunction-associated steatohepatitis (MASH), is a systemic metabolic disorder featuring both adverse hepatic and extrahepatic outcomes. In recent years, several NASH trials have failed to identify effective pharmacological treatments [...] Read more.
This narrative review aims to illustrate the notion that nonalcoholic steatohepatitis (NASH), recently renamed metabolic dysfunction-associated steatohepatitis (MASH), is a systemic metabolic disorder featuring both adverse hepatic and extrahepatic outcomes. In recent years, several NASH trials have failed to identify effective pharmacological treatments and, therefore, lifestyle changes are the cornerstone of therapy for NASH. with this context, we analyze the epidemiological burden of NASH and the possible pathogenetic factors involved. These include genetic factors, insulin resistance, lipotoxicity, immuno-thrombosis, oxidative stress, reprogramming of hepatic metabolism, and hypoxia, all of which eventually culminate in low-grade chronic inflammation and increased risk of fibrosis progression. The possible explanations underlying the failure of NASH trials are also accurately examined. We conclude that the high heterogeneity of NASH, resulting from variable genetic backgrounds, exposure, and responses to different metabolic stresses, susceptibility to hepatocyte lipotoxicity, and differences in repair-response, calls for personalized medicine approaches involving research on noninvasive biomarkers. Future NASH trials should aim at achieving a complete assessment of systemic determinants, modifiers, and correlates of NASH, thus adopting a more holistic and unbiased approach, notably including cardiovascular–kidney–metabolic outcomes, without restricting therapeutic perspectives to histological surrogates of liver-related outcomes alone. Full article
(This article belongs to the Section Endocrinology and Clinical Metabolic Research)
Show Figures

Figure 1

Figure 1
<p>Multifactorial pathogenesis of NAFLD and its progression to NASH. A combination of environmental, inflammatory, genetic, and epigenetic factors promote the development of insulin resistance. Through different mechanisms, insulin resistance is closely associated with increased FFA influx to the liver and increased hepatic de novo lipogenesis. In turn, lipid excess leads to compensatory (and over-compensatory) responses, including hepatic triglyceride accumulation (steatosis), VLDL secretion (high plasma triglyceride levels), and increased hepatic fat oxidation with generation of inflammatory lipid intermediates and reactive oxygen species. Abbreviations: CHO: carbohydrates; FFA: free fatty acids; DNL: de novo lipogenesis; TG: triglycerides; VLDL: very low-density lipoproteins; Cer: ceramides; DAG: diacylglycerols; ROS: reactive oxygen species.</p>
Full article ">Figure 2
<p>Multiple reasons may explain the high rate of unsuccessful phase 2 and phase 3 NASH clinical trials. The lack of success in phase 2 and phase 3 clinical trials in patients with NASH ± liver fibrosis can be explained by multiple factors, which can be schematically divided into biopsy-related, intervention-related, population-related, and drug-related factors.</p>
Full article ">
17 pages, 3584 KiB  
Article
TF/PAR2 Signaling Axis Supports the Protumor Effect of Neutrophil Extracellular Traps (NETs) on Human Breast Cancer Cells
by Karina Martins-Cardoso, Aquiles Maçao, Juliana L. Souza, Alexander G. Silva, Sandra König, Remy Martins-Gonçalves, Eugenio D. Hottz, Araci M. R. Rondon, Henri H. Versteeg, Patrícia T. Bozza, Vitor H. Almeida and Robson Q. Monteiro
Cancers 2024, 16(1), 5; https://doi.org/10.3390/cancers16010005 - 19 Dec 2023
Cited by 5 | Viewed by 2063
Abstract
Neutrophil extracellular traps (NETs) have been implicated in several hallmarks of cancer. Among the protumor effects, NETs promote epithelial-mesenchymal transition (EMT) in different cancer models. EMT has been linked to an enhanced expression of the clotting-initiating protein, tissue factor (TF), thus favoring the [...] Read more.
Neutrophil extracellular traps (NETs) have been implicated in several hallmarks of cancer. Among the protumor effects, NETs promote epithelial-mesenchymal transition (EMT) in different cancer models. EMT has been linked to an enhanced expression of the clotting-initiating protein, tissue factor (TF), thus favoring the metastatic potential. TF may also exert protumor effects by facilitating the activation of protease-activated receptor 2 (PAR2). Herein, we evaluated whether NETs could induce TF expression in breast cancer cells and further promote procoagulant and intracellular signaling effects via the TF/PAR2 axis. T-47D and MCF7 cell lines were treated with isolated NETs, and samples were obtained for real-time PCR, flow cytometry, Western blotting, and plasma coagulation assays. In silico analyses were performed employing RNA-seq data from breast cancer patients deposited in The Cancer Genome Atlas (TCGA) database. A positive correlation was observed between neutrophil/NETs gene signatures and TF gene expression. Neutrophils/NETs gene signatures and PAR2 gene expression also showed a significant positive correlation in the bioinformatics model. In vitro analysis showed that treatment with NETs upregulated TF gene and protein expression in breast cancer cell lines. The inhibition of ERK/JNK reduced the TF gene expression induced by NETs. Remarkably, the pharmacological or genetic inhibition of the TF/PAR2 signaling axis attenuated the NETs-induced expression of several protumor genes. Also, treatment of NETs with a neutrophil elastase inhibitor reduced the expression of metastasis-related genes. Our results suggest that the TF/PAR2 signaling axis contributes to the pro-cancer effects of NETs in human breast cancer cells. Full article
Show Figures

Figure 1

Figure 1
<p>A NET gene signature is positively correlated with the gene expression of TF and PAR2 in breast cancer samples. Spearman’s correlation analysis between TF (<span class="html-italic">F3</span>) or PAR2 (<span class="html-italic">F2RL1</span>) and neutrophil/NET gene signatures. Neutrophil-related gene signature (<b>left</b>) based on systemic lupus erythematosus, NET gene signature validated in head and neck squamous cell cancer (<b>middle</b>), and NET gene signature for pan-cancer prognosis (<b>right</b>). RNAseq data based on 1085 breast cancer patient samples deposited at TCGA. R = rank correlation. <span class="html-italic">p</span>-value &lt; 0.001 is statistically significant.</p>
Full article ">Figure 2
<p>NETs increase TF expression and procoagulant activity in breast cancer cell lines. MCF7 and T-47D cells were starved and stimulated with NETs (500 ng/mL) for 24 h. TF mRNA expression was evaluated by qRT-PCR, and <span class="html-italic">GAPDH</span> was used as a reference gene. The relative expression of mRNA was calculated using the ΔΔCT method (<b>A</b>,<b>D</b>). Flow cytometry was performed using PE-conjugated antibody anti-CD142 (<b>B</b>,<b>E</b>). A clotting assay was carried out using platelet-poor plasma incubated with breast cancer cells. The reaction was initiated with CaCl<sub>2</sub> (<b>C</b>,<b>F</b>). Values represent the mean ± standard deviation of 3 independent experiments. Statistical analysis was performed using the unpaired <span class="html-italic">t</span>-test. <span class="html-italic">n.s</span>., without significance and *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
Full article ">Figure 3
<p>MAPK signaling pathways are required for NET-induced TF expression in MCF7 cells. Western blotting analysis of the p-ERK levels after 24 h of treatment with NETs (500 ng/mL) in MCF7 cells. Total ERK protein was used as the loading control. Densitometry was performed using Image J (<b>A</b>). MCF7 cells were previously incubated for 1 h with the following inhibitors: 50 µM PD98059 (<b>B</b>), 50 µM SP600125 (<b>C</b>), and 10 µM SB203580 (<b>D</b>). Then, they were incubated for 24 h with NETs (500 ng/mL), and TF mRNA expression was analyzed by qRT-PCR. <span class="html-italic">GAPDH</span> was used as an endogenous gene, and the ΔΔCt method was performed. Graphs represent the mean of three Western blotting and three qRT-PCR independent experiments ± standard deviation. Statistical analysis was performed in GraphPad Prisma using the unpaired <span class="html-italic">t</span>-test (<b>A</b>) or one-way ANOVA (<b>B</b>–<b>D</b>). * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, and <span class="html-italic">ns</span> = no significance.</p>
Full article ">Figure 4
<p>TF participates in the protumor response induced by NETs. MCF7 cells (<b>A</b>) and T-47D cells (<b>B</b>) were starved and further treated for 60 min with 10H10 antibody (50 µg/mL). Afterward, 500 ng/mL NETs were added for 24 h. Gene expression was evaluated by qRT-PCR using the ΔΔCT method. The analyzed genes were <span class="html-italic">CXCL8</span> (interleukin 8), <span class="html-italic">IL6</span> (interleukin 6), <span class="html-italic">CD44</span>, and <span class="html-italic">ZEB1</span>. <span class="html-italic">GAPDH</span> was used as the reference gene. Columns represent means ± SD of three independent experiments. Statistical analysis was performed using a one-way ANOVA test. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, and <span class="html-italic">ns</span> = no significance.</p>
Full article ">Figure 5
<p>TF silencing suppresses NETs-driven protumor and proinflammatory responses in MDA-MB-231 cells. (<b>A</b>) MDA-MB-231 cells TF knockout (TF KO) or transfected with empty vector (TF WT) were treated with NETs (500 ng/mL) for 24 h and evaluated by qRT-PCR. The analyzed genes were <span class="html-italic">CXCL8</span> (interleukin 8), <span class="html-italic">IL1β</span> (interleukin 1β), <span class="html-italic">MMP9</span> (metalloproteinase 9), <span class="html-italic">IL6</span> (interleukin 6), and <span class="html-italic">PTGS2</span> (cyclooxygenase 2). GAPDH was used as an endogenous gene, and the ΔΔCt method was performed. (<b>B</b>) IL-8 antigen levels in the conditioned media of MDA-MB-231 TF WT or TF KO cells treated with NETs (500 ng/mL) for 24 h were determined using an enzyme-linked immunosorbent assay. Values represent the mean ± standard deviation of three independent experiments. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, and <span class="html-italic">ns</span> = no significance (unpaired <span class="html-italic">t</span>-test).</p>
Full article ">Figure 6
<p>PAR2 participates in the NET-induced protumor response. MCF7 cells (<b>A</b>) and T-47D cells (<b>B</b>) were starved and further treated for 60 min with 10 µM Az3451. Afterward, 500 ng/mL NETs were added for 24 h. Gene expression was evaluated by qRT-PCR using the ΔΔCT method. The analyzed genes were <span class="html-italic">F3</span> (TF), <span class="html-italic">CXCL8</span> (interleukin 8), <span class="html-italic">CD44</span>, and <span class="html-italic">ZEB1</span>. <span class="html-italic">GAPDH</span> was used as a reference gene. Values represent the mean ± standard deviation of three independent experiments. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, and <span class="html-italic">ns</span> = no significance (one-way ANOVA).</p>
Full article ">Figure 7
<p>TF and PAR2 do not regulate the NET-driven EMT program. Western blotting analysis of the EMT markers (E-cadherin and fibronectin) in MCF7 (<b>A</b>) and T-47D (<b>C</b>) cells treated with Az3451 (10 µM) or 10H10 antibody (50 µg/mL) for 1 h, followed by stimulation with NETs (500 ng/mL) for 24 h. β-actin was used as the loading control. Representative image from three independent experiments. Densitometry was performed using Image J and graphs represent the mean <math display="inline"><semantics> <mrow> <mo>±</mo> </mrow> </semantics></math> standard deviation ((<b>B</b>)—MCF7 cells, (<b>D</b>)—T-47D cells). * <span class="html-italic">p</span>-value &lt; 0.05 (one-way ANOVA).</p>
Full article ">Figure 8
<p>Inhibition of the neutrophil elastase impairs NET-triggered protumor response. MCF7 (<b>A</b>) and T-47D (<b>B</b>) cells were starved and treated with NEi (10 µM) for 1 h before NET treatment (500 ng/mL). After 24 h, samples were obtained to perform qRT-PCR analysis. The analyzed genes were <span class="html-italic">F3</span> (TF), <span class="html-italic">CXCL8</span> (interleukin 8), <span class="html-italic">CD44</span>, <span class="html-italic">ZEB1</span>, and <span class="html-italic">IL6</span> (interleukin 6). <span class="html-italic">GAPDH</span> was used as a reference gene. ΔΔCt method was performed. Values represent the mean ± standard deviation of three independent experiments. * <span class="html-italic">p</span>-value &lt; 0.05, ** <span class="html-italic">p</span>-value &lt; 0.01, *** <span class="html-italic">p</span>-value &lt; 0.001, and ns = no significance (one-way ANOVA).</p>
Full article ">Figure 9
<p>Schematic model connecting NETs and TF in tumor biology. Schematic representation of the NETs-triggered signaling in breast tumor cells through the interaction between components, such as neutrophil elastase, and PAR2, generating the expression of TF, and proinflammatory cytokines.</p>
Full article ">
12 pages, 1925 KiB  
Article
Inflammatory and Prothrombotic Biomarkers Contribute to the Persistence of Sequelae in Recovered COVID-19 Patients
by Nallely Garcia-Larragoiti, Alan Cano-Mendez, Yeny Jimenez-Vega, Mercedes Trujillo, Patricia Guzman-Cancino, Yesenia Ambriz-Murillo and Martha Eva Viveros-Sandoval
Int. J. Mol. Sci. 2023, 24(24), 17468; https://doi.org/10.3390/ijms242417468 - 14 Dec 2023
Cited by 6 | Viewed by 1543
Abstract
The presence of long COVID (LC) following SARS-CoV-2 infection is a common condition that affects the quality of life of patients and represents a diagnostic challenge due to the diversity of symptoms that may coexist. We still do not have accurate information regarding [...] Read more.
The presence of long COVID (LC) following SARS-CoV-2 infection is a common condition that affects the quality of life of patients and represents a diagnostic challenge due to the diversity of symptoms that may coexist. We still do not have accurate information regarding the pathophysiological pathways that generate the presence of LC, and so it is important to know the inflammatory and immunothrombotic biomarker profiles and their implications in order to characterize risk subgroups and establish early therapeutic strategies. We performed the determination of inflammatory and immunothrombotic biomarkers in volunteers with previous diagnoses of SARS-CoV-2. The inflammatory biomarkers were analyzed in plasma by flow cytometry, and we analyzed the von Willebrand factor (vWF) in the plasma samples using ELISA. The clinical variables and the presence or absence of long COVID symptoms were then analyzed. IL-6, sCD40L, p-Selectin, PSGL-1, PAI-1, tPA, D-Dimer, TF, and Factor IX levels were elevated in the groups with LC, especially in the subgroup of patients with metabolic syndrome (MetS). VWF levels were found to be increased in patients with sequelae and MetS. Our results confirmed the persistence of an active immunothrombotic state, and so it is important to identify the population at risk in order to provide adequate clinical follow-up. Full article
(This article belongs to the Special Issue New Advances in Platelet Biology and Functions)
Show Figures

Figure 1

Figure 1
<p>Comparison of the plasma concentrations of IL-6 and IL-8 in the study groups. (<b>A</b>) The non-sequelae COVID-19 and LC groups showed similar IL-6 concentrations. The plasma levels of IL-6 increased in the LC-MetS group (Kruskal–Wallis <span class="html-italic">p</span> = 0.0013). (<b>B</b>) No significant differences were found in the concentrations of IL-8 among the study groups (Kruskal–Wallis <span class="html-italic">p</span> = 0.0330).</p>
Full article ">Figure 2
<p>Plasmatic concentrations of P-selectin and PSGL-1 in the study groups. (<b>A</b>) There were progressive increases in the plasma levels of p-selectin in all three experimental groups compared to the healthy donor group (Kruskal–Wallis <span class="html-italic">p</span> = 0.0001). (<b>B</b>) The plasma concentrations of PSGL-1 were significantly elevated in the study groups compared to the control group (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001).</p>
Full article ">Figure 3
<p>Comparison of the plasma concentrations of PAI-1 and tPA in the study groups. (<b>A</b>) The non-sequelae COVID-19, LC, and LC-MetS groups showed significant increases in PAI-I levels compared to the healthy donor group (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001). (<b>B</b>) A similar pattern was observed for tPA concentrations, where the LC-MetS group had the highest plasma levels compared to the other groups (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001).</p>
Full article ">Figure 4
<p>Plasmatic concentrations of D-dimer and sCD40L in the study groups. (<b>A</b>) The non-sequelae COVID-19, LC, and LC-MetS groups showed significant increases in D-D levels compared to the healthy donor group (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001). (<b>B</b>) The plasma concentrations of sCD40L were found to be higher in the experimental groups compared to the healthy donor group (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001).</p>
Full article ">Figure 5
<p>Comparison of the plasma concentrations of TF and FIX in the study groups. (<b>A</b>) The non-sequelae COVID-19, LC, and LC-MetS groups showed significant increases in TF levels compared to the healthy donor group (Kruskal–Wallis <span class="html-italic">p</span> = 0.0007). (<b>B</b>) A similar pattern was observed for tPA concentrations, where the LC-MetS group had the highest plasma levels compared to the other groups (Kruskal–Wallis <span class="html-italic">p</span> = 0.0013).</p>
Full article ">Figure 6
<p>Comparison of the vWF concentrations in the different study groups. The healthy donor group and the non-sequelae COVID-19 group showed similar concentrations of vWF, while the LC and LC-MetS groups exhibited significant increases in the plasma concentrations of vWF (Kruskal–Wallis <span class="html-italic">p</span> &lt; 0.0001).</p>
Full article ">
Back to TopTop