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16 pages, 2125 KiB  
Article
The Use of Heterologous Antigens for Biopanning Enables the Selection of Broadly Neutralizing Nanobodies Against SARS-CoV-2
by Vazirbek S. Aripov, Anna V. Zaykovskaya, Ludmila V. Mechetina, Alexander M. Najakshin, Alexander A. Bondar, Sergey G. Arkhipov, Egor A. Mustaev, Margarita G. Ilyina, Sophia S. Borisevich, Alexander A. Ilyichev, Valentina S. Nesmeyanova, Anastasia A. Isaeva, Ekaterina A. Volosnikova, Dmitry N. Shcherbakov and Natalia V. Volkova
Antibodies 2025, 14(1), 23; https://doi.org/10.3390/antib14010023 - 7 Mar 2025
Abstract
Background: Since the emergence of SARS-CoV-2 in the human population, the virus genome has undergone numerous mutations, enabling it to enhance transmissibility and evade acquired immunity. As a result of these mutations, most monoclonal neutralizing antibodies have lost their efficacy, as they are [...] Read more.
Background: Since the emergence of SARS-CoV-2 in the human population, the virus genome has undergone numerous mutations, enabling it to enhance transmissibility and evade acquired immunity. As a result of these mutations, most monoclonal neutralizing antibodies have lost their efficacy, as they are unable to neutralize new variants. Antibodies that neutralize a broad range of SARS-CoV-2 variants are of significant value in combating both current and potential future variants, making the identification and development of such antibodies an ongoing critical goal. This study discusses the strategy of using heterologous antigens in biopanning rounds. Methods: After four rounds of biopanning, nanobody variants were selected from a phage display library. Immunochemical methods were used to evaluate their specificity to the S protein of various SARS-CoV-2 variants, as well as to determine their competitive ability against ACE2. Viral neutralization activity was analyzed. A three-dimensional model of nanobody interaction with RBD was constructed. Results: Four nanobodies were obtained that specifically bind to the receptor-binding domain (RBD) of the SARS-CoV-2 spike glycoprotein and exhibit neutralizing activity against various SARS-CoV-2 strains. Conclusions: The study demonstrates that performing several rounds of biopanning with heterologous antigens allows the selection of nanobodies with a broad reactivity spectrum. However, the fourth round of biopanning does not lead to the identification of nanobodies with improved characteristics. Full article
(This article belongs to the Section Antibody Discovery and Engineering)
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<p>Phage display scheme showing antigens, eluate, and amplicon titres for each round.</p>
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<p>Electrophoretic separation of synthesized nanobodies in 10% SDS-PAGE. Labels: M—molecular weight protein markers with the molecular weight in kDa indicated on the left (Precision Plus Protein™ Dual Xtra Prestained Protein Standards, Bio-Rad, Hercules, CA, USA); RC, SKP, KWL, PRV—purified recombinant nanobodies.</p>
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<p>Binding of ACE2 to recombinant SARS-CoV-2 S protein trimers upon inhibition of interaction by nanobodies. The 100% interaction level is considered to be the signal of direct binding between the trimer and ACE2. Notations: PRV, KWL, SKP, RC—lysates of nanobody producers; <span class="html-italic">E. coli</span> (C−)—negative control producer, lysate of cells transformed with the pET21a(−) plasmid; VHH9 (C−)—nanobody specific to HIV-1, negative control of a heterologous nanobody; iB20—broad-neutralizing human monoclonal antibody against SARS-CoV-2 [<a href="#B32-antibodies-14-00023" class="html-bibr">32</a>], positive control. One-way ANOVA showed statistically significant differences in the inhibition of ACE2 binding among nanobodies for each SARS-CoV-2 variant (Wuhan, Delta, and Omicron) with <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Position of the KWL nanobody in the ACE2-binding domain. (<b>a</b>)—visualization of the ACE2–RBD complex (PDB ID 6VW1 [<a href="#B42-antibodies-14-00023" class="html-bibr">42</a>]); (<b>b</b>)—statistically significant KWL–RBD–Wuhan complex; (<b>c</b>)—statistically significant KWL–RBD–Delta complex; (<b>d</b>)—statistically significant KWL–RBD–Omicron complex, obtained as a result of clustering the last 100 ns of MD simulation. For better visual perception, the structure of each protein, including α-helices and β-strands, is shown in different colors. In panel (<b>a</b>), ACE2 is shown in green, in panels (<b>b</b>–<b>d</b>), the KWL nanobody is shown in purple, RBD Wuhan in blue, RBD Delta in red, and RBD Omicron in green. Hydrogen bonds, salt bridges, and π-π stacking interactions are shown as yellow, purple, and blue dashed lines, respectively.</p>
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<p>Loss of nanobody variant diversity during standard phage display procedures.</p>
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22 pages, 3077 KiB  
Review
Inter-Tissue Communication Mechanisms via Exosomes and Their Implications in Metabolic Diseases: Opportunities for Pharmacological Regulation
by Brenda Chimal-Vega, Jesus Emanuel Maldonado-Arvizu, Alex Daniel Hernández Avalos, José Fernando Díaz-Villanueva, Luis Pablo Avila-Barrientos and Victor G. García González
Future Pharmacol. 2025, 5(1), 11; https://doi.org/10.3390/futurepharmacol5010011 - 6 Mar 2025
Viewed by 148
Abstract
Exosomes can transport regulatory biomolecules and are mediators of cellular signaling among metabolic tissues through endocrine mechanisms. Understanding the pathways and processes underlying exosome-mediated inter-tissue communication is critical for elucidating the molecular pathophysiology of metabolic diseases such as obesity, type 2 diabetes mellitus [...] Read more.
Exosomes can transport regulatory biomolecules and are mediators of cellular signaling among metabolic tissues through endocrine mechanisms. Understanding the pathways and processes underlying exosome-mediated inter-tissue communication is critical for elucidating the molecular pathophysiology of metabolic diseases such as obesity, type 2 diabetes mellitus (T2DM), and cardiovascular disorders. Consequently, these mechanisms represent novel and promising targets for pharmacological regulation. We examined the current knowledge regarding exosome physiology, the mechanisms of interaction with target tissues, and its role in metabolic tissue communication. We also analyzed the secretory profiles of exosomes in metabolic tissues, emphasizing their regulatory roles in adipose tissue, liver, pancreas, skeletal muscle, and the small intestine, while discussing their association with metabolic diseases. In this sense, we propose the exosomal pentad as a novel framework highlighting exosome-mediated inter-organ communication, where exosomes may regulate a metabolic axis involving these tissues. This model aligns with the ominous octet in type 2 diabetes but emphasizes exosomes as key regulators of metabolic homeostasis and potential therapeutic targets. The role of exosomes for the treatment of metabolic diseases emerges as a critical area of pharmacologic exploration. For instance, therapeutic strategies that prevent target tissue binding or expression of cargo molecules such as miRNAs could be designed, using antagomiRs or nanoparticles. Additionally, integrins like αvβ5 on the exosomal membrane can be blocked with monoclonal antibodies or engineered for targeted delivery of therapeutic molecules. Exosomes, critical mediators of inter-organ communication and metabolic regulation, hold potential to design precise molecular-level therapies while minimizing systemic side effects. Full article
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<p>Central mechanisms for exosome–cell interactions. After exosomes are released from the donor cell through exocytosis, the target cell can interact with exosomes via various mechanisms, such as receptor–ligand interaction, receptor–receptor interaction, endocytosis, direct membrane fusion, and phagocytosis. Additionally, these interactions depend on factors such as the specific protein and lipid composition of the exosomal membrane and the surface receptors in the cellular context of the target tissue [<a href="#B9-futurepharmacol-05-00011" class="html-bibr">9</a>]. Adapted from Xu. et al., 2022 [<a href="#B34-futurepharmacol-05-00011" class="html-bibr">34</a>]. Zoom image: Exosomes carry bioactive molecules like miRNAs, proteins, and lipids that influence inflammation, insulin sensitivity, cell proliferation, and apoptosis.</p>
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<p>Exosomes are key messengers of the most critical metabolic tissues, with crucial biological effects. It is proposed that these five tissues are interconnected through the secretion of exosomes and their molecular cargo, a concept we have termed the “exosomal pentad”, analogous to the ominous octet in type 2 diabetes mellitus. Exosomes carry bioactive molecules like miRNAs, proteins, and lipids that influence inflammation, insulin sensitivity, cell proliferation, and apoptosis.</p>
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<p>Exosomal microRNA (miRNA) released by metabolic tissues impact insulin signaling, inflammation, vascular function, adipocyte biology, and β-cell physiology, which are connected to systemic metabolism and mechanisms of chronic diseases [<a href="#B92-futurepharmacol-05-00011" class="html-bibr">92</a>,<a href="#B101-futurepharmacol-05-00011" class="html-bibr">101</a>]. (<b>A</b>) Exosomal miRNAs derived from adipocytes are associated with mechanisms of macrophage polarization to M1, lipogenesis, and adipocyte hypertrophy, releasing miR-16, miR-27a, miR-146b, miR-122, miR-155, and miR-29a. Exosomes from adipose tissue macrophages (ATMs) contribute to the regulation of insulin sensitivity by miR-155 and miR-29a; conversely, exosomes secreted by M2 ATMs containing miR-690 increase whole-body insulin sensitivity [<a href="#B92-futurepharmacol-05-00011" class="html-bibr">92</a>,<a href="#B101-futurepharmacol-05-00011" class="html-bibr">101</a>]. (<b>B</b>) Insulin resistance in skeletal muscle releases miR-16 in exosomes, stimulating β cell proliferation to boost insulin production and prevent hyperglycemia. Skeletal muscle enhances crucial processes, such as cell cycle regulation and cell adhesion [<a href="#B92-futurepharmacol-05-00011" class="html-bibr">92</a>,<a href="#B101-futurepharmacol-05-00011" class="html-bibr">101</a>]. (<b>C</b>) Inflammatory signals prompt endothelial cells (ECs) to release exosomes rich in miR-383-3p and let-7d-3p. ECs also secrete cav1-containing exosomes that interact with adipocytes, which release their exosomes taken up by ECs, inducing a crucial bidirectional communication network [<a href="#B83-futurepharmacol-05-00011" class="html-bibr">83</a>,<a href="#B98-futurepharmacol-05-00011" class="html-bibr">98</a>] (<b>D</b>) Exosomes secreted from beta cells of healthy patients reduce the formation of amyloid plaques by hIAPP through a direct binding mechanism. This is contrary to what occurs in exosomes from patients with DM2, where the formation of these plaques is increased [<a href="#B58-futurepharmacol-05-00011" class="html-bibr">58</a>,<a href="#B66-futurepharmacol-05-00011" class="html-bibr">66</a>]. (<b>E</b>) Lipotoxic hepatocytes release exosomes that activate hepatic stellate cells, driving the fibrotic changes seen in non-alcoholic steatohepatitis (NASH) [<a href="#B91-futurepharmacol-05-00011" class="html-bibr">91</a>,<a href="#B104-futurepharmacol-05-00011" class="html-bibr">104</a>]. Evidence suggests that damaged liver cells release exosomes with Toll-3 receptors that bind to healthy hepatocytes and induce proinflammatory factors for their repair and fibrosis [<a href="#B41-futurepharmacol-05-00011" class="html-bibr">41</a>,<a href="#B53-futurepharmacol-05-00011" class="html-bibr">53</a>] Adapted from Figure 4 of Roi Isaac et al., 2021 [<a href="#B101-futurepharmacol-05-00011" class="html-bibr">101</a>].</p>
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43 pages, 2417 KiB  
Review
Targeting Immune Checkpoint Inhibitors for Non-Small-Cell Lung Cancer: Beyond PD-1/PD-L1 Monoclonal Antibodies
by Nicolas Roussot, Courèche Kaderbhai and François Ghiringhelli
Cancers 2025, 17(5), 906; https://doi.org/10.3390/cancers17050906 - 6 Mar 2025
Viewed by 103
Abstract
Non-small-cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide. Immunotherapy targeting the PD-1/PD-L1 axis has revolutionized treatment, providing durable responses in a subset of patients. However, with fewer than 50% of patients achieving significant benefits, there is a critical need [...] Read more.
Non-small-cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide. Immunotherapy targeting the PD-1/PD-L1 axis has revolutionized treatment, providing durable responses in a subset of patients. However, with fewer than 50% of patients achieving significant benefits, there is a critical need to expand therapeutic strategies. This review explores emerging targets in immune checkpoint inhibition beyond PD-1/PD-L1, including CTLA-4, TIGIT, LAG-3, TIM-3, NKG2A, and CD39/CD73. We highlight the biological basis of CD8 T cell exhaustion in shaping the antitumor immune response. Novel therapeutic approaches targeting additional inhibitory receptors (IR) are discussed, with a focus on their distinct mechanisms of action and combinatory potential with existing therapies. Despite significant advancements, challenges remain in overcoming resistance mechanisms and optimizing patient selection. This review underscores the importance of dual checkpoint blockade and innovative bispecific antibody engineering to maximize therapeutic outcomes for NSCLC patients. Full article
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<p>CTLA-4 mechanism of action. APC: antigen-presenting cell.</p>
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<p>TIGIT mechanism of action. APC: antigen-presenting cell.</p>
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<p>LAG-3 mechanism of action. APC: antigen-presenting cell; FGL1: fibrogen-like protein 1; Gal-3: galectin-3; sLAG-3: soluble LAG-3.</p>
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<p>TIM-3 mechanism of action. APC: antigen-presenting cell; Gal-9: galectin-9; PtdSer: phosphatidylserine.</p>
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<p>NKG2A mechanism of action. APC: antigen-presenting cell.</p>
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<p>CD39/CD73/adenosine pathway. Adenosine R: adenosine receptor; AMP: adenosine monophosphate; ADP: adenosine diphosphate; ATP: adenosine triphosphate; MDSC: myeloid-derived suppressor cell.</p>
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14 pages, 1308 KiB  
Article
Rapid In Vivo Screening of Monoclonal Antibody Cocktails Using Hydrodynamic Delivery of DNA-Encoded Modified Antibodies
by Hugues Fausther-Bovendo, George (Giorgi) Babuadze, Teodora Ivanciuc, Birte Kalveram, Yue Qu, Jihae Choi, Allison McGeer, Mario Ostrowski, Samira Mubareka, Ami Patel, Roberto P. Garofalo, Robert Kozak and Gary P. Kobinger
Biomedicines 2025, 13(3), 637; https://doi.org/10.3390/biomedicines13030637 - 5 Mar 2025
Viewed by 205
Abstract
Background: Monoclonal antibodies (mAbs) are potent treatment options for infectious diseases. The rapid isolation and in vivo validation of therapeutic mAb candidates, including mAb cocktails, are essential to combat novel or rapidly mutating pathogens. The rapid selection and production of mAb candidates in [...] Read more.
Background: Monoclonal antibodies (mAbs) are potent treatment options for infectious diseases. The rapid isolation and in vivo validation of therapeutic mAb candidates, including mAb cocktails, are essential to combat novel or rapidly mutating pathogens. The rapid selection and production of mAb candidates in sufficient amount and quality for preclinical studies are a major limiting step in the mAb development pipeline. Methods: Here, we developed a method to facilitate the screening of therapeutic mAbs in mouse models. Four conventional mAbs were transformed into single-chain variable fragments fused to the fragment crystallizable (Fc) region of a human IgG1 (scFv-IgG). These scFv-IgG were expressed individually or as a cocktail in vitro and in mice following transfection or hydrodynamic delivery of the corresponding plasmids. Results: This method induced high expression of all scFv-IgG and provided protection in two murine infection models. Conclusions: This study highlights the benefits of this approach for the rapid, low-cost screening of therapeutic mAb candidates. Full article
(This article belongs to the Special Issue Therapeutic Antibodies, from Isolation to the Clinic)
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<p>Isolation of human mAbs against SARS-CoV-2 S protein. (<b>A</b>) Workflow of isolation procedure and (<b>B</b>) representative FACS plots for specific B cell sort are depicted. (Left) sorted B cells (black) were overlaid onto unstained B cells. (<b>C</b>) Total IgG levels, independent of antigen specificity, from supernatants of sorted single B cell culture were analyzed by ELISA. (<b>D</b>) Binding affinity against the SARS-CoV-2 S protein of mAbs from single B cell culture was analyzed at 50 ng/mL (left) as well as 10 and 1 ng/mL (right).</p>
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<p>Binding EC<sub>50</sub> of developed scFV-IgG. The binding EC<sub>50</sub> of scFV-IgG versions of Ab100, MPE8 (<b>A</b>), 15C3 and 37C4 was measured by ELISA (<b>B</b>) against the fusion (F) proteins or RSV and HMPV (<b>A</b>) or the spike (S) protein of SARS-CoV-2 or SARS (<b>B</b>). Binding EC<sub>50</sub> values in ng/mL are indicated. Each sample was run in triplicate. Means +/− standard deviation (SD) are depicted.</p>
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<p>Secreted scFV-IgG level following co-transfection. HEK293 cells in 12-well plates were transfected with 250 ng each of DNA-scFV-IgG encoding Ab100, MPE8, 15C3 and 37C4 scFv-IgG. Secreted levels of scFv-IgG against each of the target antigens were measured by ELISA. The assay limit of detection (LOD) is indicated by a dotted line. Mean +/− SD of individual samples ran in triplicate are depicted.</p>
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<p>Serum level of scFv-IgG following hydrodynamic administration of DNA-mAb. 10 µg of individual DNA-scFv-IgG (<b>A</b>) or a 20 µg cocktail of 4 DNA-scFv-IgG (5 µg each) (<b>B</b>) were administered hydrodynamically via the retroorbital route to female BALB/c mice (n = 3/group). Serum levels of the generated scFv-IgG were monitored before and after injection (day 1, 8, 15 and 23). LOD: assay limit of detection. The mean +/− SD of each sample ran in triplicate is depicted.</p>
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<p>A 4 DNA-mAb cocktail is partially protective in the SARS-CoV-2 model of infection. K18-hACE2 mice were treated hydrodynamically with 20 µg of control DNA-scFv-IgG (day-3) (red lines) or a cocktail of 4 DNA-scFv-IgG (5 µg each) (day-3) (blue lines), or intraperitoneally with 200 µg of sotrovimab (day-1) (green lines). Naive mice were used as control (black lines). All mice (n = 6/groups) were challenged intranasally with 6 × 10<sup>4</sup> TCID50 of SARS-CoV-2 (USA-WA1/2020). Animals were monitored for weight loss (<b>A</b>), signs of diseases (<b>B</b>) and survival (<b>C</b>). <span class="html-italic">p</span> values for statistically significant differences between the control DNA-scFv-IgG group and the treated groups are indicated. (<b>A</b>,<b>B</b>) Mean +/− SD are illustrated.</p>
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<p>In vivo inhibition of RSV replication by a 4 DNA-mAb cocktail. Female BALB/c mice (n = 5/group) were mock treated (black circle), treated with 20 µg of control DNA-scFv-IgG (day-3) (red square), 200 µg of palivizumab (day-1) (green triangle) or 20 µg of our DNA-scFv-IgG cocktail (day-3) (blue triangle). Animals were challenged with 5 × 10<sup>6</sup> PFU of RSV and monitored for weight loss (<b>A</b>), clinical signs of disease (<b>B</b>) and lung viral titers 5 days post-challenge (<b>C</b>). Statistically significant differences between the control DNA-mAb group and the treatment groups are depicted with <span class="html-italic">p</span> values below 0.05 and 0.0001 indicated by * and ***, respectively. (<b>A</b>–<b>C</b>) Mean +/− SD are depicted.</p>
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20 pages, 3241 KiB  
Review
Superoxide Dismutase Glycation: A Contributor to Disease and Target for Prevention
by Masood Alam Khan and Hina Younus
Catalysts 2025, 15(3), 247; https://doi.org/10.3390/catal15030247 - 5 Mar 2025
Viewed by 134
Abstract
Superoxide dismutase (SOD), a key antioxidant enzyme, plays a crucial role in neutralizing reactive oxygen species (ROS) and maintaining redox balance. However, SOD is highly susceptible to glycation, a non-enzymatic modification induced by reducing sugars and reactive carbonyl species such as methylglyoxal. This [...] Read more.
Superoxide dismutase (SOD), a key antioxidant enzyme, plays a crucial role in neutralizing reactive oxygen species (ROS) and maintaining redox balance. However, SOD is highly susceptible to glycation, a non-enzymatic modification induced by reducing sugars and reactive carbonyl species such as methylglyoxal. This review aims to provide a comprehensive analysis of SOD glycation, examining its biochemical mechanisms, its impact on enzymatic function, and its role in the progression of oxidative stress-related diseases. Additionally, it explores potential therapeutic strategies to prevent SOD glycation and restore its activity, highlighting translational applications for disease management. The review examines research on SOD glycation and its pathological consequences in diabetes complications, neurodegenerative disorders, and cardiovascular diseases. Key therapeutic interventions, including advanced glycation end-product (AGE) inhibitors (aminoguanidine, pyridoxamine), antioxidants (N-acetylcysteine, alpha-lipoic acid), SOD mimetics (MnTBAP, Tempol), enzyme stabilizers (thymoquinone, alliin), and receptor for advanced glycation end-products (RAGE) blockade, are analyzed for their efficacy in mitigating oxidative stress. SOD glycation reduces enzymatic activity, leading to elevated ROS levels and inflammation. Glycated SOD interacts with RAGE, increasing oxidative stress biomarkers. AGE inhibitors reduce carbonyl stress, whereas antioxidants lower ROS levels. SOD mimetics restore up to 85% of enzymatic activity, and enzyme stabilizers protect SOD from structural degradation. Additionally, monoclonal antibodies targeting RAGE have been shown to reduce inflammatory cytokines and improve mitochondrial function. SOD glycation is a major contributor to oxidative stress-related diseases. Preventing glycation and restoring SOD function through a multifaceted therapeutic approach is crucial for mitigating disease progression. By elucidating the role of SOD in disease pathogenesis, this review contributes to the advancement of targeted therapies for oxidative stress-related conditions, including diabetes, neurodegeneration, and cardiovascular diseases. Full article
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<p>Mechanism of SOD glycation through action of reducing sugars and reactive agents. The action of glycating agents glucose, fructose, methylglyoxal (MGO), and glyoxal (GO) on SOD. The glycation process leads to modifications at the active site, promoting SOD aggregation and resulting in the loss of enzymatic activity.</p>
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<p>Impact of glycated SOD in diabetic complications. The pathological consequences of SOD glycation in diabetes-related conditions. Hyperglycemia-induced SOD glycation impairs activity, elevates oxidative stress, and drives diabetic complications, including retinopathy, nephropathy, neuropathy, and cardiovascular diseases.</p>
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<p>Hyperglycemia-induced SOD glycation and RAGE activation. The effects of hyperglycemia-induced SOD glycation on ROS production activate RAGE, leading to inflammation, tissue damage, and disease progression.</p>
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<p>Role of glycated SOD in cardiovascular disease progression. Glycated SOD contributes to endothelial dysfunction, foam cell formation, and atherosclerosis, resulting in reduced blood flow and ischemic events, such as heart attacks and strokes.</p>
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<p>Glycated SOD aggregates lead to the neurodegenerative diseases. The role of glycated SOD aggregates in neurodegenerative diseases. SOD aggregates promote oxidative stress, mitochondrial dysfunction, and neuroinflammation, ultimately leading to neuronal death and diseases such as Alzheimer’s and ALS.</p>
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<p>Therapeutic interventions for SOD glycation. Therapeutic strategies to mitigate SOD glycation, including antioxidants, antibody-mediated protection, AGE inhibitors, and RAGE blockers. The interventions neutralize SOD aggregates, reduce AGE formation, and restore SOD activity, thereby improving disease outcomes.</p>
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<p>Therapeutic strategies to preserve SOD functionality. Various therapeutic approaches, including antioxidants, SOD mimetics, AGE inhibitors, RAGE blockade, enzyme stabilizers, and antibody-based protection, help maintain SOD functionality. These strategies reduce oxidative stress, prevent glycation-induced structural and functional impairments, and improve clinical outcomes by mitigating glycation-related damage.</p>
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17 pages, 733 KiB  
Review
Bimekizumab in the Treatment of Axial Spondyloarthritis and Psoriatic Arthritis: A New Kid on the Block
by Julie Sarrand, Laurie Baglione, Charlotte Bouvy and Muhammad Soyfoo
Int. J. Mol. Sci. 2025, 26(5), 2315; https://doi.org/10.3390/ijms26052315 - 5 Mar 2025
Viewed by 146
Abstract
The interleukin (IL)-17 family encompasses six structurally related pro-inflammatory cystine knot proteins, designated as IL-17A to IL-17F. Over the last decades, evidence has pointed to its role as a critical player in the development of inflammatory diseases such as psoriasis (PsO), axial spondyloarthritis [...] Read more.
The interleukin (IL)-17 family encompasses six structurally related pro-inflammatory cystine knot proteins, designated as IL-17A to IL-17F. Over the last decades, evidence has pointed to its role as a critical player in the development of inflammatory diseases such as psoriasis (PsO), axial spondyloarthritis (axSpA), and psoriatic arthritis (PsA). More specifically, IL-17A and IL-17F are overexpressed in the skin and synovial tissues of patients with these diseases, and recent studies suggest their involvement in promoting inflammation and tissue damage in axSpA and PsA. Bimekizumab is a monoclonal antibody targeting both IL-17A and IL-17F, playing an important role in the treatment of these diseases. This review details the implications of bimekizumab in the therapeutic armamentarium of axSpA and PsA. Full article
(This article belongs to the Special Issue Drug Repurposing: Emerging Approaches to Drug Discovery)
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<p>Overview of the IL-17 signaling pathway in the pathophysiology of spondyloarthritis. Genetic predispositions, including HLA-B27, ERAP1, and IL23R, combined with environmental triggers, such as dysbiosis and mechanical stress, lead to the activation of the innate immune system. Under the influence of TGF-β and IL-6, naïve T cells differentiate into Th17 cells, while IL-23 drives the activation of Th17, Tc17, γδ T cells, and ILC3s. Once activated, these cells serve as potent sources of IL-17 cytokines, including IL-17A, IL-17F, and IL-17A/IL-17F heterodimers, which bind to IL-17RA/RC receptors on target cells. Receptor activation triggers intracellular signaling pathways, including NF-κB, MAPK, and C/EBP-β, leading to the expression of pro-inflammatory genes such as IL-6, IL-8, and TNF-α. These cytokines recruit and activate mast cells, neutrophils, and basophils, further amplifying inflammation. This inflammatory cascade drives key pathological features of spondyloarthritis, including enthesitis (inflammation at tendon or ligament attachment sites), ankylosis (abnormal bone formation and joint fusion), and chronic joint inflammation. Abbreviations: BASO: basophils; C/EBP-β CCAAT Enhancer Binding Protein Beta; DCs: dendritic cells; ERAP1: endoplasmic reticulum (ER) aminopeptidase; HLA-B27: human leukocyte antigen B27; IL-: interleukin; IL-23R: IL-23 receptor; IL-17RA: IL-17 receptor A; IL-17RC: IL-17 receptor C; ILC3: group 3 innate lymphoid cells; MAPK: mitogen-activated protein kinase; MC: macrophage; NF-κB: Nuclear factor kappa-light-chain-enhancer of activated B cells; NP: neutrophil; Tc17: IL-17-producing CD8<sup>+</sup> T cells; Th17: T helper 17 cells; TNF: tumor necrosis factor.</p>
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24 pages, 1107 KiB  
Review
Treatment of Ebola Virus Disease: From Serotherapy to the Use of Monoclonal Antibodies
by Dmitriy N. Shcherbakov, Anastasiya A. Isaeva and Egor A. Mustaev
Antibodies 2025, 14(1), 22; https://doi.org/10.3390/antib14010022 - 5 Mar 2025
Viewed by 104
Abstract
Ebola virus disease (EVD) is an acute illness with a high-case fatality rate (CFR) caused by an RNA virus belonging to the Filoviridae family. Over the past 50 years, regular EVD outbreaks have been reported. The West African EVD outbreak of 2013–2016 proved [...] Read more.
Ebola virus disease (EVD) is an acute illness with a high-case fatality rate (CFR) caused by an RNA virus belonging to the Filoviridae family. Over the past 50 years, regular EVD outbreaks have been reported. The West African EVD outbreak of 2013–2016 proved to be significantly more widespread and complex than previous ones, resulting in approximately 11,000 deaths. A coordinated international effort was required to bring the outbreak under control. One of the main challenges faced by clinicians and researchers combating EVD was the absence of vaccines and preventive treatments. Only recently have efforts led to the development of effective therapeutic options. Among these, monoclonal antibody-based drugs have emerged as the most promising agents for the urgent treatment of EVD. This article aims to review the key milestones in the development of antibody-based therapies for EVD, tracing the journey from the use of convalescent serum to the creation of effective monoclonal antibody-based drugs and their combinations. Full article
(This article belongs to the Section Antibody-Based Therapeutics)
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<p>Number of Ebola virus disease (EVD) outbreaks. Outbreaks with a zero-case fatality rate are caused by the Reston virus and Tai Forest virus. The chart is based on the data of the US Centers for Disease Control and Prevention [<a href="https://www.cdc.gov/ebola/outbreaks/index.html" target="_blank">https://www.cdc.gov/ebola/outbreaks/index.html</a>, accessed on 28 November 2024]. An outbreak was defined as any reported case of one type of ebolavirus.</p>
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<p>Main regions of vulnerability of ebolavirus GPs. IFL—internal fusion loop; Heptad repeat 2—region of Heptad repeat GP2; base—region base GP1; head—region head GP1; glycan cap—region including glycan cap GP1.</p>
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<p>Chronological representation of drug development based on anti-EVD antibodies.</p>
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21 pages, 5774 KiB  
Article
E-Cadherin Is Important in the In Vitro Postnatal Development and Function of Pig Islets
by Kieran Purich, Josue Rodriguez Silva, Wenlong Huang, James Wickware, Thomas Williams, Adnan Black, Jeongbeen Kim, David Fernandez Chapa, Sudha Bhavanam, David Bigam, Daniel Schiller and Gina R. Rayat
Biomedicines 2025, 13(3), 627; https://doi.org/10.3390/biomedicines13030627 - 4 Mar 2025
Viewed by 185
Abstract
Background: Pig islets have the potential to address the limited supply of human islets available for transplantation. However, the knowledge of the biology of pig islets is currently limited. Thus, this study evaluated the molecules involved in cell-to-cell adhesion and insulin secretion pathways [...] Read more.
Background: Pig islets have the potential to address the limited supply of human islets available for transplantation. However, the knowledge of the biology of pig islets is currently limited. Thus, this study evaluated the molecules involved in cell-to-cell adhesion and insulin secretion pathways during the in vitro development of neonatal pig islets to understand the tissue we hope to use as a possible solution to the shortage of human islets for transplantation. Methods: Through RT-qPCR, immunoassays, and assessments of islet function, we explored the expression of E-cadherin and its correlation with the molecules involved in the insulin secretion pathway including GTPase, RAC1, and the membrane fusion protein SNAP25 during neonatal pig islet development. Results: Despite no significant difference observed in gross morphology and viability, as well as variable expression of RAC1, insulin, and SNAP25 in islets from 1-, 3-, and 7-day-old neonatal pigs, there was an apparent trend towards improved function in islets obtained from 3- and 7-day-old pigs compared with 1-day-old pigs. In the presence of 30 mM KCl, the amount of insulin secreted by islets from 3- and 7-day-old pigs but not from 1-day-old pigs was increased. Disruption of E-cadherin interactions with monoclonal antibodies resulted in decreased insulin secretion capacity of islets from 3-day old pigs. Conclusions: Our results show that blocking E-cadherin interactions with monoclonal antibodies resulted in disrupted peri-islet capsule and impaired islet insulin secretion under high glucose conditions. Thus, E-cadherin is important in the in vitro postnatal development and function of pig islets. Full article
(This article belongs to the Section Molecular and Translational Medicine)
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Graphical abstract

Graphical abstract
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<p>Morphology and viability of neonatal pig islets. (<b>A</b>) Light microscopic images of neonatal pig islets from 1-, 3-, and 7-day-old neonatal pigs, taken at various days of in vitro culture (Days 1, 3, 5, and 7). Images were taken at 10x objective magnification. The scale bar represents 100 µm. (<b>B</b>) Viability of islets from 1- (n = 4), 3- (n = 6), and 7-day-old pigs (n = 3) cultured for 7 days as measured by a Trypan Blue exclusion dye assay. Error bars indicate standard deviations. The <span class="html-italic">p</span> values are not statistically significant among the three groups compared.</p>
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<p>Quantification of the <span class="html-italic">CDH1</span> gene by RT-qPCR and E-cadherin protein expression by Western immunoassays and immunostaining in islets obtained from 1-, 3-, and 7-day-old neonatal pigs cultured for 7 days. (<b>A</b>) <span class="html-italic">CDH1</span> gene expression in islets from 1-day-old pigs (n = 4), (<b>B</b>) 3-day-old pigs (n = 6), and (<b>C</b>) 7-day-old pigs (n = 4); <span class="html-italic">p</span> = 0.050 and <span class="html-italic">p</span> = 0.015 between Days 3, 5, and 7 of culture in islets obtained from 1- and 7-day-old pigs, respectively, as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.032 between Day 5 and Day 7 of culture in islets obtained from 7-day-old pigs as determined by Dunn’s multiple comparisons test. Error bars indicate standard deviations. Circles (black, white cross, and white) represent values from 1-day-old pigs on Days 3, 5, and 7 of culture, respectively (A, D). Diamonds (black, white cross, and white) represent values from 3-day-old pigs on Days 3, 5, and 7 of culture, respectively (B, E). Squares (black, white cross, and white) represent values from 7-day-old pigs on Days 3, 5, and 7 of culture, respectively (C, F). E-cadherin protein expression and representative Western immunoassay images from (<b>D</b>) 1-day-old pigs, (<b>E</b>) 3-day-old pigs, and (<b>F</b>) 7-day-old pigs (n = 8 for each group); <span class="html-italic">p</span> = 0.019 between Days 3, 5, and 7 of culture in islets obtained from 1-day-old pigs as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.027 between Day 3 and Day 5 of culture in islets obtained from 1-day-old pigs as determined by Dunn’s multiple comparisons test. Error bars indicate standard deviations. Representative images of E-cadherin immunostained islets from 1-day-old pigs (<b>G</b>,<b>J</b>), 3-day-old pigs (<b>H</b>,<b>K</b>), and 7-day-old pigs (<b>I</b>,<b>L</b>). Images shown in (<b>G</b>–<b>I</b>) and (<b>J</b>–<b>L</b>) were taken at 10× and 25× objective magnification, respectively. Brown staining represents a positive stain for E-cadherin. The scale bar represents 50 µm (<b>G</b>–<b>I</b>) and 20 µm (<b>J</b>–<b>L</b>).</p>
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<p>Quantification of <span class="html-italic">RAC1</span> and <span class="html-italic">insulin</span> gene expression in islets obtained from 1-, 3-, and 7-day-old neonatal pigs cultured for 7 days. <span class="html-italic">RAC1</span> gene expression in islets from 1-day-old pigs (<b>A</b>) (n = 4), 3-day-old pigs (<b>B</b>) (n = 6), and 7-day-old pigs (<b>C</b>) (n = 5). <span class="html-italic">Insulin</span> gene expression in islets from 1-day-old pigs (<b>D</b>) (n = 4), 3-day-old pigs (<b>E</b>) (n = 6), and 7-day-old pigs (<b>F</b>) (n = 5). Error bars indicate standard deviations; <span class="html-italic">p</span> = 0.443 for 1-day-old pigs, 0.332 for 3-day-old pigs, and 0.746 for 7-day-old pigs between <span class="html-italic">RAC1</span> groups, and <span class="html-italic">p</span> = 0.122, 0.121, and 0.763 for 1-, 3-, and 7-day-old pigs, respectively, for <span class="html-italic">Insulin</span> groups, as determined by the Kruskal–Wallis test. Circles (black, white cross, and white) represent values from 1-day-old pigs on Days 3, 5, and 7 of culture, respectively (A, D). Diamonds (black, white cross, and white) represent values from 3-day-old pigs on Days 3, 5, and 7 of culture, respectively (<b>B</b>,<b>E</b>). Squares (black, white cross, and white) represent values from 7-day-old pigs on Days 3, 5, and 7 of culture, respectively (<b>C</b>,<b>F</b>).</p>
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<p>Quantification of <span class="html-italic">SNAP25</span> gene and SNAP25 protein expression in islets obtained from 1-, 3-, and 7-day-old neonatal pigs cultured for 7 days. <span class="html-italic">SNAP25</span> gene expression in islets from 1-day-old pigs (<b>A</b>, n = 4), 3-day-old pigs (<b>B</b>, n = 6), and 7-day-old pigs (<b>C</b>, n = 4); <span class="html-italic">p</span> = 0.026 and <span class="html-italic">p</span> = 0.004 between islets from 1- and 3-day-old neonatal pigs cultured for 3, 5, and 7 days as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.028 between islets obtained from 1-day-old pigs cultured for 5 and 7 days as determined by Dunn’s multiple comparisons test; <span class="html-italic">p</span> = 0.002 between islets obtained from 3-day-old pigs cultured for 5 and 7 days as determined by Dunn’s multiple comparisons test. Error bars indicate standard deviations. SNAP25 protein expression and representative Western immunoassay images in islets from 1-day-old pigs (<b>D</b>, n = 4), 3-day-old pigs (<b>E</b>, n = 4), and 7-day-old pigs (<b>F</b>, n = 4); <span class="html-italic">p</span> = 0.017 between islets from 1-day-old pigs as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.029 between islets from 1-day-old pigs cultured for 3 and 7 days. Error bars indicate standard deviations. Circles (black, white cross, and white) represent values from 1-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>A</b>,<b>D</b>). Diamonds (black, white cross, and white) represent values from 3-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>B</b>,<b>E</b>). Squares (black, white cross, and white) represent values from 7-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>C</b>,<b>F</b>). Representative merged images of SNAP25 and insulin immunostained islets from 1 day-old (<b>G</b>), 3-day-old (<b>H</b>), and 7-day-old pigs (<b>I</b>). (<b>J</b>–<b>M</b>) Representative immunostained images of islets from 7-day-old pigs on Day 7 of culture showing DAPI in blue (<b>J</b>), insulin in red (<b>K</b>), SNAP25 in green (<b>L</b>), and the merged image with all three colors (<b>M</b>). Scale bar represents 50 µm.</p>
Full article ">Figure 4 Cont.
<p>Quantification of <span class="html-italic">SNAP25</span> gene and SNAP25 protein expression in islets obtained from 1-, 3-, and 7-day-old neonatal pigs cultured for 7 days. <span class="html-italic">SNAP25</span> gene expression in islets from 1-day-old pigs (<b>A</b>, n = 4), 3-day-old pigs (<b>B</b>, n = 6), and 7-day-old pigs (<b>C</b>, n = 4); <span class="html-italic">p</span> = 0.026 and <span class="html-italic">p</span> = 0.004 between islets from 1- and 3-day-old neonatal pigs cultured for 3, 5, and 7 days as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.028 between islets obtained from 1-day-old pigs cultured for 5 and 7 days as determined by Dunn’s multiple comparisons test; <span class="html-italic">p</span> = 0.002 between islets obtained from 3-day-old pigs cultured for 5 and 7 days as determined by Dunn’s multiple comparisons test. Error bars indicate standard deviations. SNAP25 protein expression and representative Western immunoassay images in islets from 1-day-old pigs (<b>D</b>, n = 4), 3-day-old pigs (<b>E</b>, n = 4), and 7-day-old pigs (<b>F</b>, n = 4); <span class="html-italic">p</span> = 0.017 between islets from 1-day-old pigs as determined by the Kruskal–Wallis test; <span class="html-italic">p</span> = 0.029 between islets from 1-day-old pigs cultured for 3 and 7 days. Error bars indicate standard deviations. Circles (black, white cross, and white) represent values from 1-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>A</b>,<b>D</b>). Diamonds (black, white cross, and white) represent values from 3-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>B</b>,<b>E</b>). Squares (black, white cross, and white) represent values from 7-day-old pigs on Days 3, 5, and 7 of culture respectively (<b>C</b>,<b>F</b>). Representative merged images of SNAP25 and insulin immunostained islets from 1 day-old (<b>G</b>), 3-day-old (<b>H</b>), and 7-day-old pigs (<b>I</b>). (<b>J</b>–<b>M</b>) Representative immunostained images of islets from 7-day-old pigs on Day 7 of culture showing DAPI in blue (<b>J</b>), insulin in red (<b>K</b>), SNAP25 in green (<b>L</b>), and the merged image with all three colors (<b>M</b>). Scale bar represents 50 µm.</p>
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<p>In vitro insulin secretory capacities of islets from 1-, 3-, and 7-day-old neonatal pigs at Day 7 of culture. (<b>A</b>) Islets from 1-day-old pigs (n = 4, <span class="html-italic">p</span> = 0.037, black circles), (<b>B</b>) 3-day-old pigs (n = 3, <span class="html-italic">p</span> = 0.027, black squares), and (<b>C</b>) 7-day-old pigs (n = 4, <span class="html-italic">p</span> = 0.038, black triangles). In total, 200 islet equivalents for each group were exposed to 2.8 mM of glucose to quantify basal insulin secretion and later exposed to 20 mM of glucose and 20 mM of glucose plus 30 mM of KCl conditions to quantify stimulated insulin secretion. Error bars indicate standard deviations. The <span class="html-italic">p</span> values were determined by the Kruskal–Wallis’s test.</p>
Full article ">Figure 5 Cont.
<p>In vitro insulin secretory capacities of islets from 1-, 3-, and 7-day-old neonatal pigs at Day 7 of culture. (<b>A</b>) Islets from 1-day-old pigs (n = 4, <span class="html-italic">p</span> = 0.037, black circles), (<b>B</b>) 3-day-old pigs (n = 3, <span class="html-italic">p</span> = 0.027, black squares), and (<b>C</b>) 7-day-old pigs (n = 4, <span class="html-italic">p</span> = 0.038, black triangles). In total, 200 islet equivalents for each group were exposed to 2.8 mM of glucose to quantify basal insulin secretion and later exposed to 20 mM of glucose and 20 mM of glucose plus 30 mM of KCl conditions to quantify stimulated insulin secretion. Error bars indicate standard deviations. The <span class="html-italic">p</span> values were determined by the Kruskal–Wallis’s test.</p>
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<p>Quantitative response and images of islets from 3-day-old neonatal pigs at 8 days of culture after treatment with anti E-cadherin monoclonal antibody. (<b>A</b>) In vitro insulin secretory capacities of untreated islets (n = 3, <span class="html-italic">p</span> = 0.250) and (<b>B</b>) islets treated with 5 µg/µL of anti-E-cadherin monoclonal antibody (n = 3, <span class="html-italic">p</span> = 0.462). The <span class="html-italic">p</span> values were calculated by Wilcoxon’s matched pairs signed rank test. Stimulation index is calculated by the percentage of insulin secretion under the 20 mM glucose condition (black squares) divided by insulin secretion under the 2.8 mM glucose condition (black circles). Image of untreated islets (<b>C</b>) and islets treated with 5 µg/µL of anti-E-cadherin monoclonal antibody (<b>D</b>). White arrows show the disrupted peri-islet capsule in islets treated with the anti-E-cadherin monoclonal antibody. The scale bar represents 20 µm.</p>
Full article ">Figure 6 Cont.
<p>Quantitative response and images of islets from 3-day-old neonatal pigs at 8 days of culture after treatment with anti E-cadherin monoclonal antibody. (<b>A</b>) In vitro insulin secretory capacities of untreated islets (n = 3, <span class="html-italic">p</span> = 0.250) and (<b>B</b>) islets treated with 5 µg/µL of anti-E-cadherin monoclonal antibody (n = 3, <span class="html-italic">p</span> = 0.462). The <span class="html-italic">p</span> values were calculated by Wilcoxon’s matched pairs signed rank test. Stimulation index is calculated by the percentage of insulin secretion under the 20 mM glucose condition (black squares) divided by insulin secretion under the 2.8 mM glucose condition (black circles). Image of untreated islets (<b>C</b>) and islets treated with 5 µg/µL of anti-E-cadherin monoclonal antibody (<b>D</b>). White arrows show the disrupted peri-islet capsule in islets treated with the anti-E-cadherin monoclonal antibody. The scale bar represents 20 µm.</p>
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63 pages, 5843 KiB  
Review
Revolutionary Cancer Therapy for Personalization and Improved Efficacy: Strategies to Overcome Resistance to Immune Checkpoint Inhibitor Therapy
by Saud Almawash
Cancers 2025, 17(5), 880; https://doi.org/10.3390/cancers17050880 - 4 Mar 2025
Viewed by 251
Abstract
Cancer remains a significant public health issue worldwide, standing as a primary contributor to global mortality, accounting for approximately 10 million fatalities in 2020 [...] Full article
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Figure 1

Figure 1
<p>Signal Transduction Pathways of Co-inhibitory Immune Checkpoints. This figure illustrates the complex signaling pathways mediated by various co-inhibitory immune checkpoints on T cells and their interactions with the corresponding ligands on APCs and tumor cells. The immune checkpoints depicted include the following: PD-1 interacts with PD-L1 and PD-L2, CTLA-4 binds to CD80 (B7-1) and CD86 (B7-2), LAG-3 associates with Galectin 3 and MHC class II molecules, TIM-3 pairs with Galectin-9 and CEACAM1, and BTLA engages HVEM; VISTA interacts with PSGL-1; B7-H3 (CD276) interacts with TREM-LT; and TIGIT binds to CD155 (PVR) and CD112 (PVRL2). Abbreviations: PD-1, Programmed Death-1; PD-L1, Programmed Death-Ligand 1; PD-L2, Programmed Death-Ligand 2; CTLA-4, Cytotoxic T-Lymphocyte-Associated Protein 4; LAG-3, Lymphocyte-Activation Gene-3; TIM-3, T-cell Immunoglobulin and Mucin-domain containing-3; BTLA, B and T Lymphocyte Attenuator; HVEM, Herpesvirus Entry Mediator; VISTA, V-domain Ig Suppressor of T-cell Activation; PSGL-1, P-selectin glycoprotein ligand-1; TREM-LT, Triggering receptor expressed on myeloid cells (TREM)-like transcript (LT); TIGIT, T-cell Immunoreceptor with Ig and ITIM domains; PVR, Poliovirus Receptor; PVRL2, Poliovirus Receptor-like 2.</p>
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<p>Interaction between innate and adaptive immunity in response to tumor cells. (<b>A</b>) Once tumor cells are identified, DCs and macrophages conduct phagocytosis of tumor cells. They also serve as APCs, presenting tumor antigens as a component of the MHC complex on their membranes to activate T cells. T cells eradicate tumor cells. NK cells initiate the process of destroying tumor cells through direct interactions. B cells can trigger T-cell activation and perform APC functions. B cells secrete antibodies that mediate ADCC and ADCP. (<b>B</b>) Signaling cascade from the interactions of tumor cells with naïve T cells. T-cell activation and proliferation necessitate the presence of two essential signals. The initial signal is initiated when a TCR engages with an antigen displayed on the surface of a tumor cell via MHC. Without a co-stimulatory receptor, T cells either undergo deletions or become anergic (nonfunctional). The second signal occurs when CD28 receptors on T cells interact with B7 proteins found on tumor cells. These combined signals are pivotal for initiating T-cell activation and subsequent proliferation. Abbreviations: DCs, dendritic cells; APCs, antigen-presenting cells; MHC, major histocompatibility complex; ADCC, antibody-dependent cellular cytotoxicity; ADCP, antibody-dependent cellular phagocytosis; TCR, T-cell receptor.</p>
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<p>Mechanisms of immune-checkpoint signaling. (<b>A</b>) Mechanism of the CTLA-4 signaling pathway. Upon TCR engagement, intracellular vesicles containing CTLA-4 relocate to the immune synapse. Lck and ZAP-70 phosphorylate the cytoplasmic tail of CTLA-4, disrupting its intracellular transport by interfering with the interaction of AP-2. CTLA-4 inhibits T-cell activation by activating PP2A, which inhibits Akt signaling. (<b>B</b>) Mechanism of the PD-1 signaling pathway. PD-1 is phosphorylated at tyrosine residues within ITIM and ITSM on its cytoplasmic tail following TCR stimulation. Subsequently, it recruits phosphatases SHP-1 and SHP-2, which further dephosphorylate proximal signaling molecules downstream of TCR and CD28. PD-1 exerts its inhibitory effect on T-cell activation by activating PI3K via SHP-2, which inhibits Akt signaling. Abbreviations: TCR, T-cell receptor; HLA, human leukocyte antigen; mAb, monoclonal antibody; Lck, lymphocyte-specific protein tyrosine kinase; ZAP-70, ζ-chain-associated protein kinase 70; PP2A, protein phosphatase 2A; Pi, phosphorylation; AP2, activator protein 2; ITIM, immunoreceptor tyrosine-based inhibition motif; ITSM, immunoreceptor tyrosine-based switch motif; PI3K, phosphoinositide 3-kinase.</p>
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<p>Showing the development of various immune checkpoint inhibitors for various cancer treatments over time. Abbreviations: RCC, Renal cell carcinoma; HNSCC, Head and Neck Squamous Cell Carcinoma; HCC, Hepatocellular carcinoma; ESCC, Esophageal squamous cell carcinoma; NSCLC, non-small cell lung carcinoma; GC, Gastric carcinoma; CC, cervical cancer; UC, Urothelial carcinoma; TNBC, Triple-negative breast cancer; SCLC, Small Cell Lung Cancer; MCC, Merkel cell carcinoma; CRC, Colorectal carcinoma.</p>
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<p>Ligand–receptor interactions between tumor cells and activated T cells and targets for anti-PD-1 and anti-CTLA-4 therapy. T-cell activation follows sequential progression, which is typically regulated by normal immune control mechanisms. Therapeutic interventions using anti-CTLA-4, anti-PD-1, and anti-PD-L1 antibodies have been designed to disrupt this regulation, leading to beneficial outcomes. (<b>A</b>) The interaction between the CTLA-4 receptor on T cells and the CD-80 ligand (B-7 homolog) on antigen-presenting cells promotes tumor immune evasion. When an anti-CTLA-4 antibody binds to CTLA-4, it enhances T-cell activation and enables the elimination of tumor cells. (<b>B</b>) The interaction between the PD-1 receptor on T cells and the PD-L1 ligand on tumor cells results in T-cell dysfunction and tumor immune evasion. In the presence of an anti-PD-1 or anti-PD-L1 antibody, T cells are reactivated, initiating the death of tumor cells. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; PD-1, programmed cell death 1; MHC, major histocompatibility complex; TCR, T-cell receptor.</p>
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<p>Mechanisms of primary resistance. (<b>A</b>) Tumors characterized by a high mutation burden usually exhibit a more favorable response to anti-PD-1/PD-L1 therapy because they are more likely to generate immunogenic neoantigens. These neoantigens activate CD8<sup>+</sup> T cells and stimulate a robust antitumor immune response. (<b>B</b>) Tumor cells that have developed resistance to IFN-γ signaling due to primary JAK1/2 mutations may not induce PD-L1 upregulation but can still inhibit T-cell reactivity through PD-1/PD-L1-independent pathways. In addition, inactivation of IFN-γ signaling leads to reduced expression of CXCL9 and CXCL10, which are critical for T-cell recruitment. (<b>C</b>) Tumor cells with abnormal expression of antigen presentation pathway components fail to effectively present tumor antigens, thus hindering the elicitation of antitumor immunity required to eliminate cancer cells. (<b>D</b>) Within the TME, a diverse array of immunosuppressive cells can affect the efficacy of anti-PD-1/PD-L1 therapy by suppressing T-cell reactivity. Cytokines produced by tumors attract more immunosuppressive cells into the TME and promote their polarization toward a pro-tumor phenotype. (<b>E</b>) Alternative immune-checkpoint molecules are upregulated in T cells infiltrating the tumor. This upregulation, coupled with increased VEGFR signaling and TOX expression, exacerbates the activation of inhibitory signaling pathways. (<b>F</b>) Mutations in oncogenes and aberrant activation can thwart the development of an effective antitumor immune response, leading to primary resistance to immunotherapy. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; CXCL, chemokine motif (C-X-C) L ligand; IFN-γ, interferon-gamma; IFN-γ R, interferon-gamma receptor; IDO, indoleamine 2,3-dioxygenase; JAK, Janus kinase; LAG-3, lymphocyte-activation gene 3; MHC, major histocompatibility complex; MDSC, myeloid-derived suppressive cells; MAPK, mitogen-activated protein kinase; PD-1, programmed cell death 1; PD-L1, programmed death-ligand 1; PTEN, phosphatase and tensin homolog; PI3K, phosphatidylinositol 3-kinase; TOX, thymocyte selection-associated high-mobility group bOX; TCR, T-cell receptor; TGF, transforming growth factor; TIM-3, T-cell immunoglobulin and mucin-domain 3; TME, tumor microenvironment; VEGF, vascular endothelial growth factor; β2M, beta-2 microglobulin; APP, antigen processing and presentation; TAPs, transporters associated with neoantigen presentation.</p>
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<p>(<b>A</b>,<b>B</b>). Monoclonal antibodies (mAbs) have become powerful tools in cancer treatment. Notably, immune checkpoint inhibitors (ICIs) like anti-PD-L1 and anti-PD-1 mAbs have shown significant effectiveness against multiple cancers through TCRs and MHC class I. Tumor cells often resist immune checkpoint inhibitors (ICIs) due to high mutation rates in MHC class I and JAK1/2, which impair immune recognition. (<b>C</b>). Positive responses to immune checkpoint inhibitors (ICIs) are linked to increased levels of specific T lymphocyte subsets, like memory T cells. However, prolonged exposure to tumor antigens and an immunosuppressive tumor microenvironment (TME) can lead to T-cell exhaustion. Despite this, immunotherapy has been shown to trigger lasting immune responses, which can continue even after treatment ends, leading to extended antitumor effects and improved overall survival. The process of immunoediting, driven by the pressure exerted through PD-1/PD-L1 blockade, usually favors the survival of tumor cells with a heightened capacity to evade the antitumor immune response. As therapy progresses, compensatory inhibitory signaling pathways are activated, making it challenging for the PD-1/PD-L1 and CTLA-4 blockade to effectively re-energize CD8<sup>+</sup> T cells. If tumor-specific T cells fail to transition into memory T cells, the treatment response is sustained, potentially leading to disease recurrence or acquired resistance following discontinuation of therapy. Abbreviations: CTL-4, T-lymphocyte-associated antigen 4; IFN-γ, interferon-gamma; JAK, Janus kinase; MHC, major histocompatibility complex; TCR, T-cell receptor; TIM-3, T-cell immunoglobulin and mucin-domain 3; β2M, beta-2 microglobulin; ICs, immune checkpoints.</p>
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14 pages, 2341 KiB  
Communication
Development of Fully Human Antibodies Targeting SIRPα and PLA2G7 for Cancer Therapy
by Seungmin Shin, Du-San Baek, John W. Mellors, Dimiter S. Dimitrov and Wei Li
Antibodies 2025, 14(1), 21; https://doi.org/10.3390/antib14010021 - 3 Mar 2025
Viewed by 277
Abstract
Background: Macrophages play an important role in eliminating diseased and damaged cells through programmed cell death. Signal regulatory protein alpha (SIRPα) is a crucial immune checkpoint primarily expressed on myeloid cells and macrophages. It initiates a ‘do not eat me’ signal when engaged [...] Read more.
Background: Macrophages play an important role in eliminating diseased and damaged cells through programmed cell death. Signal regulatory protein alpha (SIRPα) is a crucial immune checkpoint primarily expressed on myeloid cells and macrophages. It initiates a ‘do not eat me’ signal when engaged with CD47, which is typically expressed at elevated levels on multiple solid tumors. The phospholipase A2 Group 7 (PLA2G7), which is mainly secreted by macrophages, interacts with oxidized low-density lipoprotein (oxLDL) and associates with several vascular diseases and cancers. Methods: To identify potent fully human monoclonal antibodies (mAbs) against human SIRPα and PLA2G7, we conducted bio-panning of phage antibody libraries. Results: We isolated one human Fab (1B3) and VH (1A3) for SIRPα, as well as one human Fab (1H8) and one VH (1A9) for PLA2G7; the 1B3 Fab and 1A3 VH are competitively bound to SIRPα, interfering with CD47 binding. The 1B3 IgG and 1A3 VH-Fc augmented macrophage-mediated phagocytic activity when combined with the anti-EGFR antibody, cetuximab. The anti-PLA2G7 antibodies exhibited high specificity for the PLA2G7 antigen and effectively blocked the PLA2G7 enzymatic activity with half-maximal inhibitory concentrations (IC50) in the single-digit nanomolar range. Additionally, 1H8 IgG and its derivative bispecific antibody exhibited the ability to block PLA2G7-mediated tumor cell migration. Conclusions: Our anti-SIRPα mAbs are expected to serve as potent and fully human immune checkpoint inhibitors of SIRPα, enhancing the antitumor responses of SIRPα-positive immune cells. Moreover, our anti-PLA2G7 mAbs represent promising fully human PLA2G7 enzymatic blockade antibodies with the potential to enhance both anti-tumor and anti-aging responses. Anti-SIRPα and PLA2G7 mAbs can modulate macrophage phagocytic activity and inflammatory responses against tumors. Full article
(This article belongs to the Section Antibody-Based Therapeutics)
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Figure 1
<p>Generation and specificity of anti-SIRPα mAbs. (<b>A</b>) Binding of human SIRPα against human CD47. (<b>B</b>) Binding of anti-SIRPα mAbs (1B3 Fab, 1A3 VH, 1B3 IgG, and 1A3 VH-Fc) against recombinant human SIRPα. (<b>C</b>) Kinetics of anti-SIRPα mAbs (1B3 Fab, 1A3 VH, 1B3 IgG, and 1A3 VH-Fc) binding to human SIRPα, as measured by Blitz. (<b>D</b>) Left, the expression level SIRPα on human cancer cell lines, U937 (positive) and HCT116 (negative). Right, the cell surface binding of anti-SIRPα mAbs (10 nM of 1B3 IgG and 1A3 VH-Fc) on U937 and HCT116. (<b>E</b>) Inhibition of CD47 binding to U937 cells by anti-SIRPα mAbs (1B3 IgG and 1A3 VH-Fc). The residual bound CD47 level on the surface of the U937 cell was detected after competed by gradient concentration of anti-SIRPα mAbs. (<b>A</b>,<b>B</b>) Error bars represent the mean ± s.d. of triplicate samples from one representative experiment based on at least three independent experiments.</p>
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<p>Generation and specificity of anti-PLA2G7 mAbs. (<b>A</b>) Binding of mouse anti-PLA2G7 mAb against in-house recombinant human PLA2G7-Fc. (<b>B</b>) Binding of anti-PLA2G7 mAbs (1H8 Fab, 1A9 VH, 1H8 IgG and 1H8 IgG-1A9) against human PLA2G7. (<b>C</b>) Kinetics of anti-PLA2G7 mAbs (1H8 Fab, 1A9 VH, 1H8 IgG, and 1H8 IgG-1A9) binding to human PLA2G7-Fc, as measured by Blitz. (<b>D</b>) Competitive binding of 1H8 IgG with 1A9 VH (0, 1, 10, or 100 nM) against human PLA2G7. The binding of 1H8 IgG antibody was detected. (<b>E</b>) Competitive binding of 1H8 IgG (100 nM) or 1A9 VH (100 nM) with PLA2G7 small molecule inhibitor, darapladib, against human PLA2G7. The binding of 1H8 IgG or 1A9 VH antibodies was detected. (<b>A</b>,<b>B</b>,<b>D</b>,<b>E</b>) Error bars represent the mean ± s.d. of triplicate samples from one representative experiment based on at least three independent experiments.</p>
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<p>The restoration of phagocytosis function of anti-EGFR mAb by anti-SIRPα mAb. (<b>A</b>) Phagocytic activity of monotherapy or combined therapy of anti-SIRPα mAbs (100 nM) with anti-EGFR mAb (10 nM). The PBS was used as a control. The level of CFSE signal in CD14 positive macrophage was detected. (<b>B</b>) Dose-dependent phagocytic activity of anti-SIRPα mAbs with anti-EGFR mAb (10 nM). Error bars represent the mean ± s.d. of triplicate samples from one representative experiment based on at least three independent experiments.</p>
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<p>The blocking PLA2G7 enzymatic activity and cancer cell migration by anti-PLA2G7 mAbs. (<b>A</b>) Blocking of PLA2G7 enzymatic activity by anti-PLA2G7 mAbs. Error bars represent the mean ± s.d. (n = 3). (<b>B</b>–<b>D</b>) Blocking of cell migration by anti-PLA2G7 mAbs on colorectal cancer cell lines HT29 and HCT116. (<b>B</b>) Representative image showing the migrated cell on the lower side of the transwell membrane. (<b>C</b>,<b>D</b>) The relative cell migration (%) was normalized based on the baseline (0%, blank plate control) and PLA2G7 activation with PBS control (100%). Significance was determined by an unpaired two-tailed student’s <span class="html-italic">t</span>-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; 0.001, ns means not significant. In (<b>B</b>), images are representative of three independent experiments. In (<b>C</b>,<b>D</b>), Error bars represent the mean ± s.d. of triplicate samples from one representative experiment based on at least three independent experiments.</p>
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25 pages, 9116 KiB  
Review
Cerebral Amyloid Angiopathy: Clinical Presentation, Sequelae and Neuroimaging Features—An Update
by Stefan Weidauer and Elke Hattingen
Biomedicines 2025, 13(3), 603; https://doi.org/10.3390/biomedicines13030603 - 1 Mar 2025
Viewed by 208
Abstract
The prevalence of cerebral amyloid angiopathy (CAA) has been shown to increase with age, with rates reported to be around 50–60% in individuals over 80 years old who have cognitive impairment. The disease often presents as spontaneous lobar intracerebral hemorrhage (ICH), which carries [...] Read more.
The prevalence of cerebral amyloid angiopathy (CAA) has been shown to increase with age, with rates reported to be around 50–60% in individuals over 80 years old who have cognitive impairment. The disease often presents as spontaneous lobar intracerebral hemorrhage (ICH), which carries a high risk of recurrence, along with transient focal neurologic episodes (TFNE) and progressive cognitive decline, potentially leading to Alzheimer’s disease (AD). In addition to ICH, neuroradiologic findings of CAA include cortical and subcortical microbleeds (MB), cortical subarachnoid hemorrhage (cSAH) and cortical superficial siderosis (cSS). Non-hemorrhagic pathologies include dilated perivascular spaces in the centrum semiovale and multiple hyperintense lesions on T2-weighted magnetic resonance imaging (MRI). A definitive diagnosis of CAA still requires histological confirmation. The Boston criteria allow for the diagnosis of a probable or possible CAA by considering specific neurological and MRI findings. The recent version, 2.0, which includes additional non-hemorrhagic MRI findings, increases sensitivity while maintaining the same specificity. The characteristic MRI findings of autoantibody-related CAA-related inflammation (CAA-ri) are similar to the so-called “amyloid related imaging abnormalities” (ARIA) observed with amyloid antibody therapies, presenting in two variants: (a) vasogenic edema and leptomeningeal effusions (ARIA-E) and (b) hemorrhagic lesions (ARIA-H). Clinical and MRI findings enable the diagnosis of a probable or possible CAA-ri, with biopsy remaining the gold standard for confirmation. In contrast to spontaneous CAA-ri, only about 20% of patients treated with monoclonal antibodies who show proven ARIA on MRI also experience clinical symptoms, including headache, confusion, other psychopathological abnormalities, visual disturbances, nausea and vomiting. Recent findings indicate that treatment should be continued in cases of mild ARIA, with ongoing MRI and clinical monitoring. This review offers a concise update on CAA and its associated consequences. Full article
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<p>Pathological sequelae due to cerebral amyloid angiopathy (CAA). 1: cortical subarachnoid hemorrhage (cSAH); 2: enlarged/severe centrum semiovale perivascular spaces (CSO PVS); 3: focal cortical thinning; 4: white matter hyperintensities in a multispot pattern (WMH MS); 5: cortical microbleeds (MB); 6: cortical superficial siderosis (cSS); 7: lobar intracerebral hemorrhage (ICH); 8: cortical/subcortical lacunar infarct.</p>
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<p>Recurrent intracerebral hemorrhages (ICH) within 2 years in a 74-year-old man with a history of progressive cognitive impairment. The patient was on antihypertensive medication and a statin but had neither antithrombotic drugs nor anticoagulant therapy. The final diagnosis was new lobar ICB due to probable CAA in accordance with the 2.0 version of the Boston criteria [<a href="#B38-biomedicines-13-00603" class="html-bibr">38</a>]. Axial FLAIR (fluid attenuated inversion recovery) images (<b>a</b>–<b>c</b>) showing three ICHs at different time points parieto-occipital right ((<b>a</b>,<b>d</b>): arrow), temporal right ((<b>b</b>–<b>e</b>): arrow) and temporal left ((<b>c</b>,<b>f</b>): arrow); (<b>d</b>–<b>f</b>): susceptibility-weighted imaging (SWI; arrow) disclosing additional multiple microbleeds (MB) with temporal accentuation (<b>d</b>–<b>f</b>: arrowhead); MRI 1.5 T Siemens AREA.</p>
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<p>Cerebral amyloid angiopathy (CAA) and Alzheimer’s disease (AD) in an 82-year-old woman with progressive cognitive decline and short-term memory disturbance. Axial T2-weighted images (WI) (<b>a</b>,<b>b</b>) showing distinct temporal mesial atrophy ((<b>a</b>), arrowhead), enlarged temporal horns ((<b>a</b>), arrow), vascular leukoencephalopathy ((<b>b</b>), arrowhead) and enlarged perivascular spaces (PVS; (<b>b</b>), arrow). Susceptibility-weighted imaging (SWI) ax. (<b>c</b>,<b>d</b>) disclosing multiple cortical and subcortical microbleeds (MB) (arrow), especially temporal and parietal; MRI 1.5 T Siemens AREA.</p>
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<p>A 74-year-old man with progressive cognitive impairment suffering from temporary sensory–motoric deficits right. Cortical subarachnoid hemorrhage (cSAH) in the central sulcus ((<b>a</b>), CT: arrow; Siemens Somatom Emotion). MRI with sulcal hyperintense signal changes on fluid attenuated inversion recovery (FLAIR) images ((<b>b</b>), arrow), sulcal signal loss on susceptibility-weighted imaging (SWI, (<b>c</b>): arrow), additional multifocal cortical superficial siderosis (cSS) bilateral ((<b>c</b>–<b>e</b>), arrowhead); note the characteristic bilinear track-line appearance of cSS in the chronic stage ((<b>c</b>), arrowhead); (<b>d</b>,<b>e</b>): multiple cortical/subcortical microbleeds (MB, arrow); (<b>f</b>): SWI-phase image demonstrating paramagnetic effects in the central sulcus due to blood degeneration products (arrow); MRI 1.5 T Siemens AREA.</p>
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<p>Non-hemorrhagic and hemorrhagic MRI features in cerebral amyloid angiopathy (CAA). Severe enlarged perivascular spaces (PVS) supratentorial ((<b>a</b>–<b>c</b>): T2-weighted images (WI), arrow); (<b>e</b>–<b>g</b>): Fluid attenuated inversion recovery (FLAIR) images (arrow) sparing the basal ganglia ((<b>a</b>,<b>e</b>): white arrowhead), characteristic for a centrum semiovale (CSO) PVS pattern. (<b>f</b>,<b>g</b>): Multiple partially conflating white matter hyperintensities in a multispot pattern (black arrowhead, WMH-MS). (<b>d</b>,<b>h</b>): Susceptibility-weighted images (SWI) exhibit additional hemorrhagic lesions, i.e., multiple cortical/subcortical microbleeds (MB, white arrowhead) and multifocal cortical superficial siderosis (cSS; (<b>h</b>), arrow); MRI 1.5 T Intera, Philips Healthcare.</p>
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<p>Cerebral amyloid angiopathy-related inflammation (CAA- ri) in a 72-year-old man suffering from subacute deterioration of consciousness and dizziness. (<b>a</b>–<b>e</b>): Initial MRI (upper row; MRI 3.0 T Siemens Magnetom) showing several hyperintense lesions preferentially in the subcortical occipital region ((<b>a</b>,<b>b</b>): arrow) without contrast enhancement on post-contrast T1-weighted images (T1 WI pc; (<b>c</b>), arrow), focal-accentuated microbleeds (MB) on T2* WI ((<b>d</b>), arrow) and susceptibility-weighted imaging (SWI; (<b>e</b>), arrow); note the higher sensitivity for MB on SWI (<b>e</b>) compared to T2* WI (<b>d</b>). (<b>f</b>–<b>i</b>): MRI (1.5 T Intera, Philips Healthcare) at readmission due to subacute severe psychosyndrome after tapered corticosteroid therapy. Multiple occasionally space-occupying hyperintense white matter lesions ((<b>f</b>,<b>g</b>): arrow) without contrast enhancement ((<b>h</b>), arrow) and progressive bilateral MBs ((<b>i</b>), arrow). Note the additional subacute small left frontal intracerebral hemorrhage (ICH; arrowhead). (<b>j</b>–<b>m</b>): Follow-up MRI (1.5 T Intera, Philips Healthcare) after several bouts of intravenous high-dosage methylprednisolone showing distinct regression of white matter lesions ((<b>j</b>,<b>k</b>): arrow) without contrast enhancement ((<b>l</b>), arrow), no significant new hemorrhagic lesions (<b>m</b>).</p>
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<p>A 68-year-old woman suffering from progressive dizziness and visual blurring for several weeks (upper row) and acute deterioration (lower row) due to cerebral amyloid angiopathy-related inflammation (CAA-ri) with associated vasculitis (amyloid-beta-related angiitis, ABRA). (<b>a</b>–<b>e</b>): Multifocal hyperintense sulcal effusions ((<b>a</b>), arrow; fluid-attenuated inversion recovery (FLAIR)), focal small lesions with restricted diffusion temporo-parietal left ((<b>b</b>), arrowhead; diffusion-weighted imaging (DWI, b = 1000 s/mm<sup>2</sup>)), distinct multifocal leptomeningeal enhancement ((<b>d</b>), arrow; (<b>c</b>,<b>d</b>): T1 WI before (<b>c</b>) and after (<b>d</b>) contrast agent application); (<b>e</b>): multiple microbleeds (arrow, susceptibility-weighted imaging (SWI)). (<b>f</b>–<b>i</b>): Subacute lobar intracerebral hemorrhage (ICH; (<b>f</b>), arrow); (<b>g</b>,<b>h</b>): new cortical / subcortical infarcts ((<b>g</b>,<b>h</b>): arrowhead; DWI, b = 1000 s/mm<sup>2</sup>, apparent diffusion coefficient (ADC) map); (<b>g</b>): T2* WI demonstrating inhomogeneous signal loss (arrow); MRI 1.5 T Intera, Philips Healthcare.</p>
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<p>Histological specimen in cerebral amyloid angiopathy-related inflammation (CAA-ri) and associated vasculitis (amyloid-beta-related vasculitis, ABRA; biopsy of the pat. showed in <a href="#biomedicines-13-00603-f007" class="html-fig">Figure 7</a>). (<b>a</b>): Beta A4 amyloid staining (10×) showing distinct immune histochemical evidence of beta amyloid (brown colored, arrow) in the vessel wall; (<b>b</b>): typical “apple green” color due to birefringence in polarized light (arrow; Congo-red staining, 10×); (<b>c</b>): leukocyte common antigen (LCA) staining (10×) disclosing lymphocytic infiltration in the arterial walls (arrow) and the leptomeninx (arrowhead); (<b>d</b>): hematoxylin-eosin staining (20×), also showing multinucleated giant cell (arrow) adjacent to the vessel wall (arrowhead). Courtesy L. Schweizer, Edinger–Institute, Neuropathology, Goethe University, Frankfurt.</p>
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<p>Amyloid-related imaging abnormalities (ARIA). (<b>a</b>–<b>d</b>): Fluid-attenuated inversion recovery (FLAIR) images showing ARIA-E (edema, effusion) in a patient treated with aducanumab, week 14 (<b>a</b>), 30 (<b>b</b>), 34 (<b>c</b>) and 40 (<b>d</b>) after treatment initiation; sulcal effusions ((<b>b</b>), arrow) and edema in the occipital lobe ((<b>c</b>), arrowhead), completely decreased at week 40 (<b>d</b>). (<b>e</b>–<b>h</b>): T2*-weighted images (WI) demonstrating ARIA-H (hemorrhagic) in a 68-year-old woman treated with aducanumab, baseline (<b>e</b>,<b>f</b>) and week 18. (<b>g</b>,<b>h</b>): Cortical superficial siderosis (cSS; arrow) and microbleeds (MB; arrowhead); MRI 1.5T.</p>
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10 pages, 2716 KiB  
Article
Gold-Nanoparticles Reflectance Discriminates Benign from Malignant Salivary Gland Neoplasms
by Shiran Sudri, Irit Allon, Ilana Kaplan, Abraham Hirshberg, Dror Fixler and Imad Abu El-Naaj
J. Clin. Med. 2025, 14(5), 1672; https://doi.org/10.3390/jcm14051672 - 1 Mar 2025
Viewed by 117
Abstract
Objectives: This study aimed to assess the effectiveness of gold nanoparticles conjugated with anti-EGFR monoclonal antibodies (GNPs-EGFR) in distinguishing between benign and malignant salivary gland tumors. Methods: A total of 49 oral salivary gland tissue samples were analyzed, including 22 malignant salivary gland [...] Read more.
Objectives: This study aimed to assess the effectiveness of gold nanoparticles conjugated with anti-EGFR monoclonal antibodies (GNPs-EGFR) in distinguishing between benign and malignant salivary gland tumors. Methods: A total of 49 oral salivary gland tissue samples were analyzed, including 22 malignant salivary gland tumors (MSGTs), 15 benign salivary gland tumors (BSGTs), and 12 control samples. For each sample, three 5 μm consecutive tissue sections were prepared. The first section was stained with hematoxylin and eosin (H&E) to confirm the diagnosis, the second was immunohistochemically stained for anti-EGFR, and the third was treated with GNPs-EGFR followed by hyperspectral microscopy to analyze the reflectance spectrum. Results: Reflectance intensity was significantly higher (p < 0.001) in MSGTs compared to BSGTs and controls, with intensity levels increasing alongside tumor grade. The average hyperspectral reflectance values were strongly correlated with the GNPs-EGFR immunohistochemical score and varied significantly between subgroups (p < 0.001). Conclusions: GNPs-EGFR reflection measurements effectively differentiate MSGTs from BSGTs with high sensitivity. This diffusion–reflection technique holds potential as a valuable tool for tumor detection, surgical margin assessment, and intraoperative identification of residual disease in salivary gland tumors. Full article
(This article belongs to the Special Issue Targeted Treatment of Oral Cancer)
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<p>Transmission electron microscopy (TEM) image of the self-fabricated GNS, sized~20 nm, and the peak of the GNS before and after conjugation to PEG and EGFR.</p>
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<p>Hyperspectral imaging highest intensities (Au) for each group.</p>
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<p>Histological, immunohistochemical, and hyperspectral imaging of a normal salivary gland, benign tumor, and malignant tumor. (<b>A</b>–<b>C</b>) Normal salivary gland; (<b>A</b>) Original magnification ×100 hematoxylin and eosin; (<b>B</b>) Original magnification ×100 EGFR immunohistochemical stain; (<b>C</b>) Hyperspectral microscopy imaging original magnification ×200; (<b>D</b>–<b>F</b>) Benign tumor—pleomorphic adenoma; (<b>D</b>) Original magnification ×100 hematoxylin and eosin; (<b>E</b>) Original magnification ×100 EGFR immunohistochemical stain; (<b>F</b>) Hyperspectral microscropy imaging original magnification ×200; (<b>G</b>–<b>I</b>) Malignant tumor—mucoepidermoid carcinoma; (<b>G</b>) Original magnification ×100 hematoxylin and eosin; (<b>H</b>) Original magnification ×100 EGFR immunohistochemical stain; (<b>I</b>) Hyperspectral microscopy imaging original magnification ×200.</p>
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<p>ROC analysis for separation group A—normal salivary gland; group B—BSGT; and group C—MSGT. Exact sensitivity is marked in red.</p>
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15 pages, 5066 KiB  
Article
A Hidden Guardian: The Stability and Spectrum of Antibody-Dependent Cell-Mediated Cytotoxicity in COVID-19 Response in Chinese Adults
by Jinge Cao, Mengze Gan, Zhihao Zhang, Xiaosong Lin, Qi Ouyang, Hui Fu, Xinyue Xu, Zhen Wang, Xinlian Li, Yaxin Wang, Hao Cai, Qing Lei, Li Liu, Hao Wang and Xionglin Fan
Vaccines 2025, 13(3), 262; https://doi.org/10.3390/vaccines13030262 - 28 Feb 2025
Viewed by 236
Abstract
Objectives: Identifying immune-protective biomarkers is crucial for the effective management and mitigation of current and future COVID-19 outbreaks, particularly in preventing or counteracting the immune evasion exhibited by the Omicron variants. The emergence of SARS-CoV-2 variants, especially those within the Omicron lineage, has [...] Read more.
Objectives: Identifying immune-protective biomarkers is crucial for the effective management and mitigation of current and future COVID-19 outbreaks, particularly in preventing or counteracting the immune evasion exhibited by the Omicron variants. The emergence of SARS-CoV-2 variants, especially those within the Omicron lineage, has highlighted their capacity to evade neutralizing antibodies, emphasizing the need to understand the role of antibody-dependent cell-mediated cytotoxicity (ADCC) in combating these infections. Methods: This study, conducted in Qichun City, Hubei province, from December 2021 to March 2023, involved 50 healthy Chinese adults who had received two doses of inactivated vaccines and had subsequently experienced mild infections with the Omicron BA.5 variant. Blood samples from these 50 healthy Chinese adults were collected at six distinct time points: at baseline and at the 1st, 3rd, 6th, and 9th months following the third dose of the inactivated vaccine, as well as 3 months post-breakthrough infection. Their sera were analyzed to assess ADCC and neutralization effects. Results: The results indicated that the antibodies elicited by the inactivated SARS-CoV-2 vaccine targeted the spike protein, exhibiting both pre-existing neutralizing and ADCC activities against Omicron variants BA.5 and XBB.1.5. Notably, the ADCC activity demonstrated greater stability compared to that of the neutralizing effects, persisting for at least 15 months post-vaccination, and could be augmented by additional vaccine doses and breakthrough infections. The ADCC effect associated with hybrid immunity effectively targets a spectrum of prospective Omicron variants, including BA.2.86, CH.1.1, EG.5.1, and JN.1. Conclusions: In light of its stability and broad-spectrum efficacy, we recommend the use of the ADCC effect as a biomarker for assessing protective immunity and guiding the development of vaccines and monoclonal antibodies. Full article
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<p>Temporal dynamics of nAb responses against the SARS-CoV-2 PS and Omicron BA.5. (<b>A</b>) The prevalence of SARS-CoV-2 strains in China during the pandemic, alongside the study cohort’s nAb responses, was evaluated at six distinct time points: at baseline (visit 1, 6 months following the administration of two doses of the inactivated vaccine) and at 1 month (visit 2), 3 months (visit 3), 6 months (visit 4), and 9 months (visit 5) after the administration of a third dose of the inactivated vaccine, as well as 3 months subsequent to a breakthrough infection (visit 6). (<b>B</b>) The levels of nAbs against the PS and the BA.5 variant were compared at different visits (N = 50). (<b>C</b>) Dynamic changes in nAbs against the PS (N = 50). (<b>D</b>) Dynamic changes in nAbs against the BA.5 variant (N = 50). (<b>E</b>) Comparative analysis of the nAbs before and after the third dose of the inactivated vaccine, at 1 month and 9 months post the third dose, and pre- and post-breakthrough infection (N = 50). The numbers highlighted in red denote significant increases in the fold changes, while those in blue indicate significant decreases in the fold changes. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Establishment of the ADCC detection technology platform. (<b>A</b>) The processes involved in the ADCC assay. (<b>B</b>) The expression of the spike protein in the cell lysates transfected with various recombinant eukaryotic expressing plasmids, including pVAX-PS, pVAX-BA.2.86, pVAX-BA.5, pVAX-XBB.1.5, pVAX-CH.1.1, pVAX-EG.5.1, and pVAX-JN.1. Cells transfected with the pVAX-1 plasmid and HEK 293T cells served as the controls. (<b>C</b>) The optimal serum dilution and effector-to-target ratio for the ADCC assays. Cells transfected with pVAX-PS as the target cells and serum samples from ten individuals were pooled for testing purposes.</p>
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<p>Temporal dynamics of the ADCC responses against the SARS-CoV-2 PS and Omicron BA.5. (<b>A</b>) ADCC levels against the PS and BA.5 variants were compared at different visits (N = 50). (<b>B</b>) Dynamic changes in ADCC against the PS (N = 50). (<b>C</b>) Dynamic changes in ADCC against the BA.5 variant (N = 50). (<b>D</b>) Comparative analysis of ADCC before and after the third dose of the inactivated vaccine at 1 month and 9 months post the third dose, and pre- and post-breakthrough infection (N = 50). The numbers highlighted in red denote significant increases in the fold changes, while those in blue indicate significant decreases in the fold changes. *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Temporal dynamics of the ADCC responses to Omicron XBB.1.5. (<b>A</b>) Dynamic changes in ADCC against the XBB.1.5 variant (N = 50). (<b>B</b>) Comparative analysis of ADCC against the XBB.1.5 variant before and after a third dose of the inactivated vaccine at 1 month and 9 months post the third dose and pre- and post-breakthrough infection (N = 50). The numbers highlighted in red denote significant increases in the fold changes, while those in blue indicate significant decreases in the fold changes. *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Analysis of the ADCC effect and the neutralizing activity of serum samples collected at visit 6 for a range of prospective Omicron variants. (<b>A</b>) Comparison of the ADCC effect of serum samples from visit 6 against the PS and Omicron variants BA.5, XBB.1.5, BA.2.86, CH.1.1, EG.5.1, and JN.1 (N = 50). (<b>B</b>) Comparison of nAb responses of serum samples from visit 6 to the PS and Omicron variants BA.5, XBB.1.5, and JN.1 (N = 50). (<b>C</b>) The ADCC effect of individual serum samples from visit 6 against the same set of Omicron variants (N = 50). (<b>D</b>) Neutralizing activity of individual serum samples from visit 6 against the same set of Omicron variants (N = 50). ** <span class="html-italic">p</span> &lt; 0.01; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Correlation between ADCC and the neutralizing effect against the PS and the Omicron BA.5 variant at visit 1. Correlation between ADCC and the neutralizing effect against the PS (<b>A</b>) and the Omicron BA.5 variant (<b>B</b>) at visit 1. R represents Spearman’s correlation coefficient (N = 50).</p>
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11 pages, 2314 KiB  
Case Report
Cryfibrinogen-Associated Glomerulonephritis and Monoclonal Gammopathy of Renal Significance—Case Report and Literature Review
by Edoardo Terzolo, Laura Solfietti, Michela Ferro, Antonella Barreca, Massimo Milan, Roberta Fenoglio, Savino Sciascia and Dario Roccatello
J. Clin. Med. 2025, 14(5), 1656; https://doi.org/10.3390/jcm14051656 - 28 Feb 2025
Viewed by 143
Abstract
Background/Objectives: Cryofibrinogenemia, characterized by plasma cryoprecipitation of fibrinogen and related proteins, is a rare and often under-recognized entity that can present with significant renal involvement. Methods: we describe a 66-year-old woman with progressive renal failure due to membranoproliferative glomerulonephritis driven by [...] Read more.
Background/Objectives: Cryofibrinogenemia, characterized by plasma cryoprecipitation of fibrinogen and related proteins, is a rare and often under-recognized entity that can present with significant renal involvement. Methods: we describe a 66-year-old woman with progressive renal failure due to membranoproliferative glomerulonephritis driven by cryofibrinogen deposits. Her clinical course was marked by relapsing–remitting disease with limited response to high-dose corticosteroids but significant improvement following plasma exchange. Over seven years, she underwent three kidney biopsies, revealing progressive histopathological changes, including glomerular cryofibrinogen deposits and evolving chronicity. A detailed review of the literature identified 50 cases of cryofibrinogenemia, highlighting its association with monoclonal gammopathies, malignancies, and autoimmune diseases. Results: our case uniquely underscores the pathogenic interplay between cryofibrinogenemia and a monoclonal IgG-kappa paraprotein, which was found to directly stabilize fibrinogen and drive cryoprecipitation. This novel observation aligns cryofibrinogenemia with monoclonal gammopathy of renal significance, expanding the diagnostic and therapeutic landscape for this entity. Conclusions: this report also highlights the pivotal role of kidney biopsy with electron microscopy in diagnosing cryofibrinogen-associated renal disease, particularly when conventional biomarkers are insufficient. Moreover, our findings emphasize the therapeutic utility of plasmapheresis and the potential need for therapies aimed at eliminating the pathogenetic monoclonal antibody in managing refractory cases. Enhanced awareness and further research into this rare entity are essential for advancing patient care and outcomes. Full article
(This article belongs to the Section Nephrology & Urology)
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<p>(<b>A</b>) Glomerulus exhibiting membrano-proliferative pattern of injury in AFOG coloration; (<b>B</b>) immunofluorescence for C3; (<b>C</b>) immunofluorescence for fibrinogen; (<b>D</b>) subendothelial deposits with a structured appearance, the formation of microtubules, and annular structures; (<b>E</b>) microtubules with central bore and annular structures at higher magnification.</p>
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<p>(<b>A</b>) Glomerulus exhibiting membrano-proliferative pattern of injury in AFOG coloration; (<b>B</b>) immunofluorescence for C3; (<b>C</b>) immunofluorescence for fibrinogen; (<b>D</b>) subendothelial deposits with a structured appearance, the formation of microtubules, and annular structures; (<b>E</b>) microtubules with central bore and annular structures at higher magnification.</p>
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<p>(<b>A</b>) HE staining: glomerular sclerosis and interstitial fibrosis increased; (<b>B</b>) trichrome staining showing glomerular sclerosis and interstitial fibrosis increasing; (<b>C</b>) immunofluorescence for C3 (+); (<b>D</b>) ultrastructural examination of a deposit; (<b>E</b>) immunofluorescence for fibrinogen (+).</p>
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<p>(<b>A</b>) HE staining: glomerular sclerosis and interstitial fibrosis increased; (<b>B</b>) trichrome staining showing glomerular sclerosis and interstitial fibrosis increasing; (<b>C</b>) immunofluorescence for C3 (+); (<b>D</b>) ultrastructural examination of a deposit; (<b>E</b>) immunofluorescence for fibrinogen (+).</p>
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<p>Search strategy.</p>
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13 pages, 992 KiB  
Article
Development and Validation of a Differentiating Infected from Vaccinated Animals (DIVA) Enzyme-Linked Immunosorbent Assay (ELISA) Strategy for Distinguishing Between Hendra-Infected and Vaccinated Horses
by Leanne McNabb, Amy McMahon, Ezana Getachew Woube, Kalpana Agnihotri, Axel Colling, Christopher C. Broder, Indre Kucinskaite-Kodze, Rasa Petraityte-Burneikiene, Timothy R. Bowden and Kim Halpin
Viruses 2025, 17(3), 354; https://doi.org/10.3390/v17030354 - 28 Feb 2025
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Abstract
Hendra virus (HeV) is a bat-borne zoonotic agent which can cause a severe and highly fatal disease and can be transferred from animals to humans. It has caused over 100 deaths in horses since it was discovered in 1994. Four out of seven [...] Read more.
Hendra virus (HeV) is a bat-borne zoonotic agent which can cause a severe and highly fatal disease and can be transferred from animals to humans. It has caused over 100 deaths in horses since it was discovered in 1994. Four out of seven infected humans have died. Since the release of the HeV vaccine (Equivac® HeV Hendra Virus Vaccine for Horses, Zoetis Australia Pty Ltd., Rhodes, NSW 2138) in Australia, there has been an urgent requirement for a serological test for differentiating infected from vaccinated animals (DIVA). All first-line diagnostic serological assays at the Australian Centre for Disease Preparedness (ACDP) incorporate recombinant HeV soluble G glycoprotein (sG) as the antigen, which is also the only immunogen present in the Equivac® HeV vaccine. Problems therefore arose in that antibody testing results were unable to distinguish between prior vaccination or infection with HeV. This study describes the development of a HeV DIVA ELISA strategy using recombinant sG and HeV nucleoprotein (N), paired with specific monoclonal antibodies in a competition ELISA format. The validation of this assay strategy was performed using a positive cohort of 19 serum samples representing post-infection sera, a negative cohort of 1138 serum samples representing horse sera collected pre-vaccine release and a vaccination cohort of 502 serum samples from horses previously vaccinated with Equivac® HeV vaccine. For the sG glycoprotein, the diagnostic sensitivity (DSe) was 100.0% (95% CI: 99.3–100.0%) and diagnostic specificity (DSp) 99.91% (95% CI: 99.5–100.0%), using a percentage inhibition cut-off value of >36, whereas for the N protein, DSe was 100.0% (95% CI: 82.4–100.0%) and DSp 100.0% (95% CI: 99.7–100.0%), using a percentage inhibition cut-off value of >49. Taken together, these results demonstrate that the HeV DIVA ELISA strategy developed here is now an essential and critical component of the testing algorithm for HeV serology testing in Australia. Full article
(This article belongs to the Section Viral Immunology, Vaccines, and Antivirals)
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Figure 1
<p>Titration of the positive control for the HeV DIVA ELISA with % inhibition (Y axis) in relation to the serum dilution (X axis). Both the N protein and G glycoprotein threshold lines are represented by dotted lines.</p>
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<p>The HeV DIVA ELISA percent inhibition results for the negative, vaccinated and positive (infected) equine cohorts are shown for both the sG (<b>A</b>) and N (<b>B</b>) proteins. The sG and N protein ELISA thresholds are represented by solid lines. A percentage inhibition threshold value of &gt;36 for the sG glycoprotein ELISA resulted in a DSe of 100.0% (95% CI: 99.3–100.0%) and a DSp of 99.9% (95% CI: 99.5–100.0%), while for the N protein, a percentage inhibition cut-off value of &gt;49 resulted in a DSe of 100.0% (95% CI: 82.4–100.0%) and a DSp of 100.0% (95% CI: 99.7–100.0%).</p>
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<p>New algorithm diagram for HeV serology at ACDP.</p>
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