Biology subjects

Seth, T.

Publications and source records attributed to Seth, T..

6 recordsLinked to original sources

bioRxiv2026

Intranasal Delivery of Hypoxia Primed Whartons Jelly MSC Derived sEVs Reprograms Neuroimmune Signalling and Ameliorates Behavioural Deficits in a Valproic Acid Induced Mouse Model of Autism Spectrum Disorder

BackgroundBeyond disrupted neurodevelopment, autism spectrum disorder (ASD) encompasses progressive neurodegenerative alterations that remain refractory to standard of care behavioral therapies, highlighting the need for biologically targeted adjunctive interventions. Although, Mesenchymal stem cell (MSC) derived small extracellular vesicles (sEVs) have emerged as potent neuroprotective agents; however, the optimal MSC tissue source and strategies enhancing their efficacy for clinical translation remain undefined. Hypoxic preconditioning potentiates their therapeutic effects, however its specific impact on ASD-related impairments is yet to be established. This study conducts a head to head evaluation of sEVs from bone marrow (BM) and Whartons jelly (WJ) MSCs under normoxic and hypoxic conditions to delineate their comparative neuroregenerative efficacy in ASD. MethodsWe investigated the neuroprotective efficacy of sEVs derived from human tissue-specific mesenchymal stem cells (BM/WJ) cultured under normoxic (21% O2) and hypoxic (1% O2) conditions. In vitro assays evaluated sEV uptake, cell proliferation, neurodifferentiation, mitochondrial health, and immunomodulatory effects using neural stem cell (C17.2) and microglial (N9) cell lines. For in vivo studies, ASD-like phenotypes were induced in C57BL/6 mice via prenatal exposure to valproic acid (600 mg/kg), followed by the biodistribution of fluorescently labeled hypoxia-primed WJ MSCs sEVs (WJ-H-sEVs) following intranasal administration was assessed using IVIS imaging. Behavioural outcomes after intranasal treatment were evaluated. Additionally, post-mortem brain tissues were analyzed for neuroinflammation, oxidative stress, synaptic integrity, and downstream signalling pathways using immunofluorescence, Western blotting, and qRT-PCR, while systemic cytokine pro-inflammatory and anti-inflammatory levels were quantified by ELISA. Mechanistic involvement of Nrf2 and NF-{kappa}B signaling pathways was examined using pharmacological inhibitors. ResultsComparative analyses revealed that hypoxic priming significantly enhanced sEV yield and enriched neuroprotective miRNAs, with WJ-H-sEVs exhibiting elevated levels of miR-125b-5p, miR-21a-5p, and miR-145a-5p. Consistent with this enrichment, WJ-H-sEVs demonstrated superior cellular uptake as observed in neural stem cells and microglia, enhanced neurodifferentiation, robust antioxidant activity, effective immunomodulation, and improved mitochondrial health, thereby outperforming their normoxic and BM-derived counterparts. Intranasally administered WJ-H-sEVs efficiently localized to the brain within 12 h and significantly improved anxiety-like behavior, recognition memory, and spatial learning in ASD mice. These effects were accompanied by reduced neuroinflammation and oxidative damage, enhanced neuronal survival, decreased serum IL-6 levels, and increased IL-10 and TGF-{beta}. Mechanistically, therapeutic benefits were mediated through activation of the Nrf2 antioxidant pathway and suppression of NF-{kappa}B and JAK-STAT signaling. ConclusionIn this study, hypoxia emerges as a clinically exploitable priming strategy to enhance the neuroregenerative performance of tissue-specific MSC-derived sEVs, with potential applicability across MSC sources and other neurological disorders. Moreover, intranasal delivery of WJ-H-sEVs demonstrates translational feasibility, reinforcing their potential as an adjunctive, cell-free, pediatric-friendly neurotherapeutic modality for ASD management. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/721255v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@dd0f7forg.highwire.dtl.DTLVardef@1247d24org.highwire.dtl.DTLVardef@93e6deorg.highwire.dtl.DTLVardef@1a349d_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2025

Dual Preconditioned Mesenchymal Stem Cells-Derived Culture Conditioned Media Augment Immunomodulation and Drive Metabolic Reprogramming in Acute Graft-versus-Host Disease

BackgroundThe toxicity associated with conventional conditioning regimens limits treatment outcomes in autoimmune disorders such as acute graft-versus-host disease (aGVHD). Developing effective adjunctive interventions to restore immune balance is therefore essential. This study investigated the immunomodulatory potential of mesenchymal stem cells (MSCs)-derived culture-conditioned media (CCM) from naive and preconditioned MSCs-hypoxic (MSCsHYP), apoptotic (MSCsAPO), and dual preconditioned (MSCsHYP+APO) in aGVHD. MethodsHuman MSCs isolated from bone marrow and Whartons Jelly were preconditioned under hypoxia (1% O2), apoptosis (1 {micro}M staurosporine, 24 h), or both. The immunoregulatory and antioxidant properties of their CCM were evaluated through T-cell proliferation assays, Treg induction, macrophage polarization, mitochondrial function, and T-cell bioenergetics. Comparative proteomic profiling of CCM from WJ-MSCs and WJ-MSCsHYP+APO co-cultured with aGVHD patient-derived activated PBMNCs was performed using LC-MS/MS, alongside in vivo validation in a chemotherapy-induced aGVHD murine model. ResultsWJ-MSCsHYP+APO-CCM exhibited superior immunomodulatory efficacy, suppressing T-cell proliferation, promoting Treg and Th2/Th9 differentiation, and driving M2 macrophage polarization. It reduced mitochondrial ROS, enhanced mitochondrial polarization, and shifted T-cell metabolism from glycolysis toward oxidative phosphorylation. Proteomic analysis revealed modulation of IL-12, IL-17, and JAK-STAT pathways, along with regulation of complement, coagulation, and metabolic cascades. Interaction with immune cells further enhanced its antioxidant and tissue-reparative properties via extracellular matrix remodeling. ConclusionDual preconditioning under hypoxia and apoptosis amplifies the immunomodulatory, antioxidant, and reparative efficacy of WJ-MSC-CCM, offering a potent non-cellular therapeutic strategy for aGVHD management. GRAPHICAL ABSTRACTImmunomodulatory and immune metabolic reprogramming potential of naive and preconditioned MSCs (MSCs, MSCsHYP, MSCsAPO, MSCsHYP+APO) derived CCM in Acute GVHD (created using Biorender.com) O_FIG O_LINKSMALLFIG WIDTH=95 HEIGHT=200 SRC="FIGDIR/small/686182v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@f7ed73org.highwire.dtl.DTLVardef@1063015org.highwire.dtl.DTLVardef@13ed827org.highwire.dtl.DTLVardef@e103c0_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Predictive Modeling of acute Graft-versus-Host-Disease using Machine Learning on Immune Cell and Cytokine Profiles at Engraftment

BackgroundAcute Graft-versus-Host-Disease (aGvHD) is a major immune complication following allogenic hematopoietic stem cell transplantation (Allo-HSCT), initiated by conditioning regimen-associated tissue damage. It involves the complex interplay of immune cells and cytokines. Our study aims to leverage machine learning (ML) algorithms on the immune and cytokine profile of Allo-HSCT recipients to develop biomarker-based classification models to predict the onset of aGvHD at the time of engraftment. Materials and MethodsSeventy patients diagnosed with hematological disorders who had undergone Ist Allo-HSCT were recruited from All India Institute of Medical Sciences, New Delhi, India. Peripheral blood (PB) was collected from the patients at the time of engraftment, and the immune cell subtypes and cytokine profiles were analyzed using flow cytometry and ELISA respectively. The individual cell counts were then processed using basic ML models, including support vector classifier with RBF kernel, Decision Tree, and Random Forest, chosen for their mathematical simplicity and feature importance advantage of Decision Trees and Random Forests. Various data settings were utilized in the study: combined immune and cytokine counts, immune cell counts only, cytokine counts only, T-cell counts only, NK cell counts only, dendritic cell counts only, and B-cell counts only. These configurations were selected to investigate how different data sets impact the prediction of aGvHD before its onset. ResultsAt the engraftment flow cytometric analysis of reconstituted lymphocytes in patients who developed aGvHD revealed that there was a remarkable decrease in the ratio of CD4+/CD8+ T-cell and Tregs, with an increase in the cytotoxic regulatory NK-cell, dendritic cells, and B-cell. The levels of pro-inflammatory cytokines (IFN-{gamma}, IL-1{beta}, IP-10, TNF-, IL-17, IL-12p70, MIP-1, MIP-1{beta}, RANTES), and Th17-and Th1-cells were elevated with consequent decline of the levels of anti-inflammatory cytokine IL-10, IL-2, IL-4 and Th2-, Th9-cells. Machine learning based on 48 parameters [all immune cell subsets n=34 and all cytokines (n=14)]. The correlation heat map shows a higher correlation of aGvHD with the cytokine profile with or without immune cells (accuracy: 1), T-cell alone (accuracy: 0.96); NK-cell alone (accuracy: 0.93); dendritic cells alone (accuracy: 0.90), B-cell alone (accuracy: 0.86). ConclusionThe current models classify perfectly, indicating the potential for a ML algorithm in predicting the onset of aGvHD. However, a study with a larger sample size is required to validate these classification models and mitigate the risk of overfitting observed due to the consistently high performance. The study also highlights the potential of cytokine profiles as a viable alternative to T-cell counts, as evidenced by the correlation heat map and classifier models. These findings provide valuable insights into dataset requirements and future directions for integrating ML models into aGvHD prediction.

immunology↗

bioRxiv2025

Hypoxia-Mediated Molecular Interactions of Tissue-Specific Mesenchymal Stem Cells Drive Metabolic Reprogramming and Immunomodulation in Acute Graft-versus-Host Disease

BackgroundMesenchymal stem cells (MSCs) mediate immunomodulation through various mechanisms, including apoptosis, efferocytosis, and mitochondrial transfer. Our study investigates the impact of hypoxia preconditioning on the immune metabolic reprogramming and immunomodulatory potential of MSCs in acute graft-versus-host disease (aGVHD). Additionally, we explored the differential immunomodulatory effects of tissue-specific MSCs, specifically bone marrow (BM) and Whartons Jelly (WJ), and elucidated the mechanisms underlying variability in their therapeutic efficacy. MethodsMSCs were isolated from BM and WJ and subjected to hypoxia preconditioning. Their immunometabolic programming potential was assessed by evaluating T-cell proliferation, regulatory T-cell (Treg) induction, effector T-cell differentiation toward Th2, Th9 phenotypes, and macrophage polarization, T-cell bioenergetics in the direct co-culture systems. ResultsWJ-MSCsHYP exhibited superior immunomodulatory properties compared to BM-MSCsHYP, by inhibiting T-cell proliferation, enhancing Treg induction, and promoting anti-inflammatory macrophage polarization. WJ-MSCsHYP demonstrated enhanced mitochondrial transfer to T-cell, improving mitochondrial health, reducing ROS, and promoting oxidative phosphorylation, leading to immune homeostasis. Unlike BM-MSCs, WJ-MSCs exhibited higher rates of apoptosis, which facilitated immune modulation through mechanisms independent of efferocytosis. ConclusionOur findings highlight that WJ-MSCsHYP is a superior candidate for aGVHD by utilizing apoptosis, mitochondrial transfer, and metabolic reprogramming to achieve immune regulation.

immunology↗

bioRxiv2024

Synergistic Hypoxia and Apoptosis Conditioning Unleashes Superior Mesenchymal Stem Cells Efficacy in Acute Graft-versus-Host-Disease

Mesenchymal stem cells (MSCs) have emerged as promising candidates for immune modulation in various diseases that are associated with dysregulated immune responses like Graft-versus-Host-Disease (GVHD). MSCs are pleiotropic and the fate of MSCs following administration is a major determinant of their therapeutic efficacy. In this context, we here demonstrate that hypoxia preconditioned apoptotic MSCs [bone marrow (BM), Whartons Jelly (WJ)] bear more immune programming ability in a cellular model of acute Graft-versus-Host-Disease (aGVHD). To this purpose, we programmed MSCs by exposing them to hypoxia and inducing apoptosis both sequentially as well as simultaneously. Our findings demonstrated that WJ MSCs that were conditioned with indicated approaches simultaneously induced the differentiation of CD4+T-cell towards Tregs, enhanced Th2 effector, and concomitantly mitigated Th1 and Th17, with polarization of M1 effector macrophages towards their M2 phenotype, and more interestingly enhanced efferocytosis by macrophages indicated Th2 programming ability of MSCs programmed by conjunctional approaches Overall, our study highlights the potential of WJ-MSCs conditioned with hypoxia and apoptosis concurrently, as a promising therapeutic strategy for aGVHD and underscores the importance of considering MSC apoptosis in optimizing MSCs-based cellular therapy protocols for enhanced therapeutic efficacy in aGvHD. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=123 HEIGHT=200 SRC="FIGDIR/small/588248v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@92c102org.highwire.dtl.DTLVardef@bd895forg.highwire.dtl.DTLVardef@185e041org.highwire.dtl.DTLVardef@45ef0f_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2018

SCMarker: ab initio marker selection for single cell transcriptome profiling

Single-cell RNA-sequencing data generated by a variety of technologies, such as Drop-seq and SMART-seq, can reveal simultaneously the mRNA transcript levels of thousands of genes in thousands of cells. It is often important to identify informative genes or cell-type-discriminative markers to reduce dimensionality and achieve informative cell typing results. We present an ab initio method that performs unsupervised marker selection by identifying genes that have subpopulation-discriminative expression levels and are co- or mutually-exclusively expressed with other genes. Consistent improvements in cell-type classification and biologically meaningful marker selection are achieved by applying SCMarker on various datasets in multiple tissue types, followed by a variety of clustering algorithms. The source code of SCMarker is publicly available at https://github.com/KChen-lab/SCMarker.\n\nAuthor SummarySingle cell RNA-sequencing technology simultaneously provides the mRNA transcript levels of thousands of genes in thousands of cells. A frequent requirement of single cell expression analysis is the identification of markers which may explain complex cellular states or tissue composition. We propose a new marker selection strategy (SCMarker) to accurately delineate cell types in single cell RNA-sequencing data by identifying genes that have bi/multi-modally distributed expression levels and are co- or mutually-exclusively expressed with some other genes. Our method can determine the cell-type-discriminative markers without referencing to any known transcriptomic profiles or cell ontologies, and consistently achieves accurate cell-type-discriminative marker identification in a variety of scRNA-seq datasets.

bioinformatics↗