Biology subjects

Kumar, V.

Publications and source records attributed to Kumar, V..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

A genomic and proteomic characterization of mannan-degradable Bacillus sp. TTS1, isolated from Tomakomai Forest in Hokkaido

A challenge in using plant biomass is its highly recalcitrant nature, which makes it economically infeasible to utilize. In natural environments, various microbes, including bacteria and fungi, are reported to decompose plant cell wall materials such as cellulose and hemicellulose, and there may be undescribed microbes that contribute to the degradation of plant biomass. We focused on isolating novel plant biomass-degrading bacteria and screened more than 100 isolates from the Tomakomai experimental forest in Hokkaido, Japan. Among them, one novel Bacillus species was chosen for whole-genome sequencing. Comparative genomics and a carbon source utilization assay indicated that the isolate belongs to a subspecies of Bacillus subtilis, which we named B. sp. TTS1. Glucose, cellobiose, xylose, xylan, mannose, or mannan was used as the sole carbon source in the minimum medium, and the growth of this bacterium was determined. Furthermore, a proteomic analysis of B. sp. TTS1 was performed using culture supernatants from various polysaccharide-containing media. In the present study, several key enzymes involved in plant biomass degradation were identified, namely {beta}-1,4-mannanase and xylanase, and they were highly enriched in all tested polysaccharides.

microbiology↗

bioRxiv2026

Targeting COL4A1-Related Small Vessel Disease: Repurposed Pharmacotherapies for Genetic Vasculopathies

COL4A1-related disorders cause early-onset stroke, intracerebral haemorrhage, visual impairment and kidney disease, often affecting children and young adults, yet no disease-modifying therapies exist. These disorders arise from pathogenic COL4A1 variants that disrupt type IV collagen and impair small-vessel integrity, leading to cerebral small-vessel disease and endothelial dysfunction. We performed a mechanism-guided screen in human brain endothelial cells using a CRISPR-engineered COL4A1 p.G755R line and patient-specific COL4A1 p.G773R iPSC-derived endothelial cells. Simvastatin, L-carnosine, and XPD-101 restored impaired endothelial proliferation, migration, and other markers of endothelial function, including transendothelial electrical resistance (TEER). In a Col4a1Svc/+ mouse model, simvastatin increased pre-weaning survival, improved functional behaviour and reduced cerebral microhaemorrhage burden. These findings identify mechanism-informed candidates that rescue COL4A1-mutant endothelial dysfunction in vitro, with simvastatin demonstrating in vivo efficacy, supporting prioritisation for further preclinical development.

molecular biology↗

bioRxiv2026

SLD5/GINS4 controls dynein-dependent centrosome maturation and exposes a candidate mitotic vulnerability in cancer.

Faithful proliferation requires coordinated DNA replication with centrosome maturation and spindle-pole integrity. SLD5, encoded by GINS4, is a core component of the GINS replication complex and is frequently elevated in tumors, but whether it links replication-associated cancer states to centrosome control has remained unclear. Here, we show that GINS4/SLD5 is recurrently upregulated across human cancers at transcript and protein levels and marks tumor programs enriched for DNA replication, chromosome segregation, and mitotic control. In cancer cells, Sld5 depletion dispersed PCM1, AZI1, and CEP290-positive centriolar satellites without eliminating these satellite proteins, reduced dynein heavy chain expression, and destabilized dynein-dynactin localization at spindle poles. Direct depletion of dynein heavy chain, co-depletion analyses, and pharmacological inhibition of dynein motor activity with ciliobrevin D phenocopied Sld5 loss, causing satellite dispersion, defective recruitment of PLK1, Aurora A, CEP192, and CEP215 to centrosomes, and multipolar spindle formation. These defects occurred without detectable DNA damage or checkpoint activation, indicating a non-canonical Sld5 function beyond its role in the replisome. Cancer dependency and kinase network analyses further nominate SLD5-associated mitotic and checkpoint pathways as therapeutic targets. Our findings identify SLD5/GINS4 as a regulator of dynein-dependent centrosome maturation and a candidate vulnerability in replication-driven cancers, with potential value for biomarker-guided therapeutic stratification. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=136 SRC="FIGDIR/small/723511v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@525d9org.highwire.dtl.DTLVardef@1f7d7eeorg.highwire.dtl.DTLVardef@815586org.highwire.dtl.DTLVardef@115f286_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2026

Host cell plasma membrane-derived vesicles efficiently inhibit in vitro Influenza A virus infection in a size-dependent manner

The influenza virus poses a significant global health threat due to its continuous evolution, immune evasion, and zoonotic spillover. The rise of drug resistance, reduced susceptibility to existing antiviral medications, and the limited effectiveness of annual vaccines underscore the need for new antiviral strategies. To infect, the influenza virus binds to sialic acid (SA)-containing molecules on host cell membranes through hemagglutinin (HA). Blocking this interaction represents a promising antiviral approach. Herein, we report that SA containing plasma membrane-derived vesicles (PMV) efficiently inhibits in vitro Influenza A virus (IAV) infection. Using orthogonal methods, we demonstrate that PMV derived from A549, MDCK, and HEK cells competitively bind to H1N1 (WSN) and H3N2 (X-31) IAV strains, block entry and infection in human respiratory epithelial cells in a dose-dependent manner, without causing significant toxicity. When the size of the vesicles was reduced through extrusion, the antiviral activity was enhanced, and this was found to be correlated with a size-dependent increase in hemagglutination inhibition and reduced IAV internalisation. Plasma membrane-derived vesicles may serve as a novel antiviral strategy against influenza virus infections due to their simple production method and conserved SA binding site on HA.

biochemistry↗

bioRxiv2026

XRRA1 acts as a molecular brake on radiation-induced DNA damage signaling and immunogenic cell death in tumor cells.

Radiotherapy kills cancer cells by inducing DNA damage, but adaptive responses that buffer injury and limit immunogenic signaling remain incompletely understood. Although ionizing radiation can activate cytosolic DNA sensing and immunogenic cell death, the tumor-intrinsic regulators linking these processes to radioresistance are not well defined. Here, we show that XRRA1 is a stress-adaptive determinant of radioresponse identified by integrating discovery proteomics into chronic myeloid leukemia with clinical tissue validation and functional studies across multiple tumor models. In peripheral-blood proteomes, XRRA1 was quantitatively reduced in chronic myeloid leukemia yet associated with a favorable prognosis and with networks enriched for RNA regulation, apoptosis, and DNA-repair biology. In human biopsy specimens, XRRA1 protein abundance was increased in radiation-exposed tissues, and in cultured cells, ionizing radiation induced XRRA1 more strongly and persistently in normal cells than in cancer cells. Silencing XRRA1 had little effect on basal growth but markedly enhanced radiation-induced loss of viability, apoptosis, spheroid disruption, and clonogenic failure, while increasing {gamma}H2AX- and DNA-PK-associated damage signaling and linking XRRA1 to non-homologous end joining factors. XRRA1 depletion also amplified cGAS-STING-TBK1-IRF3 activation, interferon-stimulated gene expression, extracellular ATP release, and cell-surface calreticulin exposure. These findings identify XRRA1 as a molecular brake that limits the conversion of radiation-induced DNA damage into immunogenic stress responses. XRRA1, therefore, represents a candidate biomarker of radioadaptive stress and a potential target for radiosensitization and radiotherapy-immunotherapy combinations.

cancer biology↗

bioRxiv2026

Reversing Pathophysiology in Fragile X Syndrome Mice by Promoting PGC-1α and Mitochondrial Functions

Fragile X syndrome (FXS) is the leading cause of intellectual disabilities and autism, but a disease-modifying strategy remains unavailable. Recent studies have suggested reduced mitochondrial functions in FXS. However, the mechanisms underlying mitochondrial defects and their impact on FXS pathophysiology remain largely unclear. Here, we reveal a reduction in the mitochondrial master regulator peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1) in the mouse model of FXS, the Fmr1 knockout (KO) mice. We show that this impairment is caused by the inactivity of the transcription factor cAMP-response element-binding protein (CREB) in Fmr1 KO mice. Using the small molecule ZLN005, which induces AMP-activated protein kinase (AMPK)- and CREB-dependent elevation of PGC-1 in Fmr1 KO mice, we observed significantly increased mitochondrial functions and dynamics in cultured neurons in vitro and in the hippocampus in vivo. Furthermore, ZLN005 elicited a wide range of beneficial effects in Fmr1 KO mice, including enhanced inhibitory synaptic transmission, reduced circuit hyperexcitability, improved hippocampal synaptic plasticity, reduced cortical gamma-band oscillations, and improved interhemispheric coherence. Most importantly, we observed improved cognition and reduced autism-like behaviors in ZLN005-treated Fmr1 KO mice. Together, our findings identify AMPK-CREB signaling and PGC-1 as promising and selective therapeutic targets for FXS and reveal the broad impact of restoring PGC-1 on FXS pathophysiology. One Sentence SummaryPromoting PGC-1 Reverses FXS Pathophysiology.

neuroscience↗

bioRxiv2026

ARACRA: Automated RNA-seq Analysis for Chemical Risk Assessment

Transcriptomic analysis is considered a powerful approach for biomarker discovery, however still exploring large scale omics dataset to extract meaningful biological insights remains a challenge for biologists. To address this gap, we present ARACRA a fully automated RNA-seq analysis pipeline including entire transcriptomics workflow from raw FASTQ files to the transcriptomics Point of Departure (tPoD) with human-in-the-loop review process. Overall, the analysis is performed in two phases: Phase 1 carries out the acquisition of raw reads, pre-alignment quality control, alignment to reference genome and quantification of gene expression. Whereas, Phase 2 performs statistical analysis including Differential Gene Expression analysis and Dose-Response modelling. Two phases are separated by an extensive quality control step which allows the user to visually inspect the quality of data processed and helps in filtering noise and outlier samples. ARACRA facilitates end-to-end analysis of RNA-Seq data through an interactive web-based application developed on nextflow and streamlit for minimizing computational complexities while ensuring correct downstream processing. Availability and implementationARACRA is freely available online at the GitHub with MIT License and stream lit-based web application: ARACRA. Researchers can use the demo data or even upload their own data to do the analysis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/716912v1_fig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@15170a9org.highwire.dtl.DTLVardef@1bb9822org.highwire.dtl.DTLVardef@1010f3aorg.highwire.dtl.DTLVardef@8ee6e6_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFig 1:C_FLOATNO Overall Architecture of ARACRA C_FIG

bioinformatics↗

bioRxiv2026

Viral persistence and antiretroviral therapy shape systemic immune aging in treated HIV infection

Chronic infections can reshape immune system homeostasis, yet how persistent viral infections influence immune aging remains poorly understood. People living with HIV provide a unique model to investigate how long-term viral persistence affects immune aging despite effective antiretroviral therapy. Here, we characterize immune aging by integrating plasma proteomics with epigenetic and transcriptional profiles of circulating immune cells across large cohorts of treated individuals with HIV. We find that immune aging is markedly accelerated compared with healthy individuals and parallels established DNA methylation-based aging clocks. Accelerated immune aging is strongly associated with signatures of immunosenescence and correlates with the size of the latent HIV reservoir, suggesting a persistent imprint of viral persistence on immune aging trajectories. Notably, exposure to specific antiretroviral agents, particularly nucleoside reverse transcriptase inhibitors, is associated with reduced immune aging and suppression of age-associated immune gene programs. Together, these findings identify chronic viral persistence as a driver of systemic immune aging and indicate that antiretroviral therapy can partially modulate immune aging programs.

immunology↗

bioRxiv2026

Adoption of MMPose, a general purpose pose estimation library, for animal tracking

1Markerless pose estimation has emerged as a powerful technique for animal behavior quantification, capable of high resolution tracking of body parts. Many neuroscience labs rely on tools like DeepLabCut and SLEAP, which provide accessible interfaces but restrict users to a narrow set of models and configurations. In this work, we adopt MMPose an open source, general-purpose computer vision library to build a workflow for training and evaluating multiple state-of-the-art models on animal video datasets. We benchmark these models in two scenarios: (1) a complex maze assay with occlusions and varied backgrounds, and (2) a simpler open field arena with a high-contrast background. Our results show that a bottomup model (DEKR) delivers the highest accuracy in the complex task, whereas lighter-weight models (e.g., SLEAP) offer superior speed highlighting a clear trade-off between accuracy and throughput. We also evaluate a recently published foundation model (TopViewMouse-5K) trained on a large top-view mouse dataset to test its generalization. It performs poorly on our tasks at zero-shot, and even when we combine its data with our training set, we observe no consistent benefit. These findings emphasize the importance of context-specific model selection and the need for more diverse training data to create generalizable pose models. By leveraging a general-purpose vision library, researchers can flexibly choose models that best suit their experimental needs. This work illustrates how adopting advanced computer vision frameworks can accelerate behavioral neuroscience and genetics research, paving the way for more scalable, reproducible, and sensitive analysis of animal behavior.

neuroscience↗

bioRxiv2026

Optimizing Intermediate Representations: A Framework for Low-Cost, High-Accuracy Behavior Quantification

Quantitative measurement of animal behavior is a cornerstone of neuroscience, genetics, and ethology. While modern computer vision has democratized automated analysis, the field has coalesced around pose estimation as the standard intermediate representation. This reliance imposes a significant bottleneck: researchers must often train custom pose models using large, labor-intensive datasets. Furthermore, the assumption that denser anatomical tracking yields better classification remains largely unverified. Here, we benchmark intermediate representations for supervised mouse behavior classification to determine the optimal trade-off between annotation cost and model performance. We systematically evaluate the sensitivity of classification to keypoint density, the impact of temporal feature engineering, and the viability of segmentation-derived shape descriptors as a low-cost alternative. We find that classifier performance is remarkably robust to keypoint variation; increasing keypoint density yields negligible gains, particularly when behavior training sets are sufficiently large. In contrast, augmenting models with temporal features (specifically FFT-based signal processing) consistently drives performance improvements. Crucially, we demonstrate that whole-body segmentation achieves performance parity with explicit pose estimation across most behaviors. These findings challenge the "more is better" intuition in pose tracking and suggest a paradigm shift: efficient pipelines should prioritize behavioral dataset volume and temporal dynamics over complex anatomical keypoints.

neuroscience↗

bioRxiv2026

Integrating supervised and unsupervised machine learning for behavior segmentation reveals latent frailty signatures and improves aging clocks in isogenic and outbred mice

1Manual frailty index (FI) assessment in mice is a strong predictor of morbidity and mortality, and is frequently used in mechanistic and translational geroscience. However, it is labor-intensive, requires expert training, and is vulnerable to scorer variability. We previously developed a visual frailty index (vFI) that objectively predicts age and frailty using expert-defined, supervised behavioral features extracted from open-field videos. However, relying solely on human-defined features may miss subtle, latent behavioral signatures of aging. Here, we test whether unsupervised behavioral discovery using Keypoint-MoSeq (KPMS) could uncover these hidden signatures and improve the prediction of aging-related outcomes. Using a large dataset of isogenic C57BL/6J (B6J) and genetically diverse Diversity Outbred (DO) mice, we find that unsupervised features are highly predictive of chronological age, biological frailty, and the proportion of life lived. Notably, while supervised features overall outperformed unsupervised features in these tasks, combining both feature sets yielded the highest predictive accuracy across all outcomes. Despite these improvements, models trained on either feature set failed to generalize across strains, confirming that behavioral manifestations of aging are strongly population-specific. These findings demonstrate that supervised and unsupervised machine vision provide complementary information, establishing a highly sensitive, scalable, and non-invasive framework for objective and scalable geroscience in rodents.

animal behavior and cognition↗

bioRxiv2026

Inferring large networks with matrix factorisation to capture non-linear dependencies among genes using sparse single-cell profiles

Inference of non-linear dependencies among a large number of features from their scores is an unresolved challenge. Especially when the feature-score matrix is very sparse, like single-cell transcriptome profiles, the problem of estimating dependencies among a large number of features to infer a network becomes an even more daunting task. Here, we propose a method of network inference in reduced dimension (NIRD) to handle sparsity and computational complexity while still inferring non-linear dependencies among genes (features) using large, sparse gene-expression matrices (feature scores). Our method is based on matrix factorisation of gene-expression matrix to facilitate internal imputation as well as network inference using tree ensemble-based non-linear regression. NIRD not only outperformed many other methods across multiple single-cell transcriptomic profiles but also provided consistent inferred networks even in the presence of batch effects. The consistency provided by NIRD helps compare inferred networks to identify genuine genes responsible for changes in regulation due to disease or stress. NIRD can also be used with RNA velocity for better inference of non-linear causality. Application of NIRD with RNA-velocity could improve the prediction of direct targets of transcription factors in human embryonic stem cells, which we validated using ChIP-seq and gene-knockout datasets.

bioinformatics↗

bioRxiv2026

A solid-state heater-imager for quantitative evaluation of colorimetric isothermal nucleic acid amplification on paper

Maintaining precise isothermal conditions in portable nucleic acid amplification tests (NAATs) is critical for reproducible results but remains challenging with conventional single-sided thin-film heaters, which exhibit temperature gradients and strong dependence on ambient conditions. To close this gap, we engineered ThermiQuant VitroMini, a dual-sided heater design that achieves volumetric-level temperature uniformity using thin-film heaters while preserving optical transparency for real-time colorimetric loop-mediated isothermal amplification (LAMP) analysis on microfluidic paper-based analytical devices ({micro}PADs). The device integrates two independently regulated indium tin oxide (ITO) heaters (8 {Omega} each) controlled by independent proportional-integral-derivative (PID) algorithms. Heaters were evaluated under controlled ambient environments of 4 {degrees}C (refrigerated), 23 {degrees}C (room temperature), and 50 {degrees}C (oven). Analytical tests were performed using a colorimetric LAMP assay targeting the SARS-CoV-2 orf7ab gene on {micro}PADs preloaded with dried LAMP reagents, with time-lapse images (30 seconds interval) analyzed via Amplimetrics software. VitroMini maintained 65 {+/-} 0.5 {degrees}C across 4 to 50 {degrees}C ambient conditions and achieved a limit of detection of 34 copies/reaction (4.5 copies/{micro}L) and limit of quantification of 1000 copies/reaction (133 copies/{micro}L), with quantification time (Tq) linearly correlated with log10 DNA concentration. Dual-sided heating eliminated temperature bias, condensation artifacts, and ambient-dependent variability while preserving optical transparency for real-time quantitative LAMP reaction. ThermiQuant VitroMini bridges the gap between benchtop volumetric heaters and portable diagnostic devices, offering a compact, low-power platform for quantitative colorimetric molecular analysis on paper with potential for decentralized and field-deployable applications.

bioengineering↗

bioRxiv2026

Mesoscale molecular architecture of the human striatum across cell types and lifespan

The human striatum is a central hub for a diverse array of motor, cognitive, and affective behaviors, yet it lacks obvious cytoarchitectural boundaries that define functional territories. Here, we uncover a robust and molecularly defined mesoscale architecture in the human striatum. Using Slide-tags, a scalable single-nucleus spatial transcriptomics technology, we profiled 1.1 million cells across the full span of the anterior striatum of 19 postmortem donors, spatially mapping all striatal populations. Our data uncover a natural subdivision of the striatum into six zones, each defined by molecularly distinct populations of medium spiny neurons, and featuring spatially coordinated neuron-astrocyte signaling. Relative to MSNs in ventral zones, MSNs in dorsal zones exhibit higher expression of genes for synaptic remodeling and plasticity via ephrin and TGF-beta, while the ventral zone is defined by greater expression of semaphorin, protein chaperone, and hedgehog signaling pathways. By imputing zonal identities onto a larger single-nucleus RNA-seq cohort of 131 donors, we find that the dorsal zones exhibit greater age-related transcriptional changes, and that overall, the gene-expression differences that define spatial zonation patterns are attenuated with advancing age. This atlas provides a mesoscale molecular definition of human striatal anatomy, linking cell type identity to functional specialization and aging susceptibility.

neuroscience↗

bioRxiv2026

Protein-guided RNA barcoding links transcriptomes to synaptic architecture

Mammalian brain function relies on the precise synaptic architecture of diverse cell types, yet scalable methods for linking a neurons transcriptomic profile to its neuroanatomy remain limited. We present Synapse-seq, an in vivo strategy in which cell-identifying barcoded mRNAs are routed to subcellular compartments via targeting proteins and detected by single-cell and spatial genomics. Using AAV delivery for minimal perturbation of gene expression, we directed barcodes to presynaptic terminals (via synaptophysin) in four distinct circuits, or to postsynaptic sites (via nanobodies to endogenous PSD95) of hippocampal excitatory neurons. In the mouse primary visual cortex, presynaptic Synapse-seq recovered known long-range projections and discovered cortical layer subtypes with distinct thalamic innervation. In the anterior cortex, we elucidated simple topographic rules of corticostriatal innervation: intratelencephalic neurons followed a continuous depth-to-target gradient, while extratelencephalic neurons exhibited striatal collaterals that spatially correlated with medullary innervation. Finally, postsynaptic barcoding of excitatory neurons revealed cell type-specific variation in dendritic architectures across and within hippocampal subfields. These data establish Synapse-seq as a versatile, genomics-based approach for the integrated definition of molecular identity and synaptic organization across mammalian brains.

neuroscience↗

bioRxiv2026

Development and evaluation of a cost-effective, mid-density SNP array as a sorghum community genotyping resource

The development of accessible and cost-effective genotyping platforms is essential to accelerate genetic gain in crop improvement. To address the U.S. sorghum communitys need for a standardized, mid-density genotyping resource, we developed and validated a targeted single-nucleotide polymorphism (SNP) array using the PlexSeq next-generation sequencing (NGS) platform. The resulting genotyping array includes 2,421 SNPs spanning all ten Sorghum bicolor chromosomes and integrates trait-linked and quality control markers selected by public and private stakeholders. Genotyping 2,726 diverse accessions, including the Sorghum Association Panel (SAP), demonstrated high call rates (>90% for most samples and markers), low missing data, and accurate resolution of population structure consistent with prior whole-genome studies. In comparative genomic prediction analyses, the mid-density array performed equivalently to high-density genotype-by-sequencing (GBS) platforms for key traits such as grain yield and plant height across multi-environment trials. Designed for broad utility in breeding pipelines, the array enables marker-assisted selection, genomic prediction, identity verification, and germplasm quality control. Moreover, its adoption by the USDA National Plant Germplasm System facilitates the curation of genebanks and the management of core collections. This community-driven genotyping platform offers a scalable, reproducible, and customizable tool to support molecular breeding in sorghum and underscores the value of targeted marker systems in resource-optimized crop improvement programs.

plant biology↗

bioRxiv2026

Unique pore architecture underlies constitutive gating of human retinalTRPM1

Transient receptor potential melastatin 1 (TRPM1), a Ca{superscript 2}-permeable nonselective cation channel essential for retinal ON bipolar cell signaling and night vision, and implicated in congenital night blindness, has remained structurally and functionally poorly characterized. Here we report the first cryo-electron microscopy structure of human TRPM1 in conducting state. Although the channel assembles as a tetramer, it adopts an unexpected clockwise domain-swapped pore module with rotational geometry inverse to that observed in previously characterized 6-TM tetrameric channels. This inverted topology is accompanied by extensive remodeling of the S5-P-S6 module, dilation of the selectivity filter, expansion of the central cavity, and splaying of S6 to form a wide intracellular gate. Single-channel recordings reveal constitutive activity consistent with the conductive state captured. Together, these findings uncover a new 6-TM fold in tetrameric channel and provide a framework for understanding TRPM1 gating and disease-associated dysfunction.

biochemistry↗

bioRxiv2026

Targeting Galectin-3 C-epitope oligomers associated maladaptive mechanotransductive signaling in pressure-overload induced left ventricular cardiac hypertrophy

BackgroundAging and various pathological conditions lead to pressure-overload in the left ventricle, promoting maladaptive hypertrophic remodeling and subsequent cardiac dysfunction, ultimately increasing the risk of heart failure. Galectin-3 (Gal-3) plays a central role in this process; however, its critical intracellular functions complicate direct therapeutic targeting. Notably, pathological microenvironments trigger the proteolytic cleavage of Gal-3 into distinct N- and C-terminal fragments. The specific contributions of these cleaved epitope forms to adverse cardiomyocyte mechanotransduction, and their potential as precision therapeutic targets in contrast to the full-length protein, remain unresolved. MethodsTo address this gap, we combined rodent models of aging and pressure-overload (PO) -induced cardiac hypertrophy with PO mechanobiology-driven in vitro assays and validation in human cardiac tissue and serum. Gal-3 epitope abundance, localization, phosphorylation, oligomerization, and downstream signaling were quantified using biochemical, imaging, and functional approaches. ResultsWe found that extracellular oligomers of the Gal-3 C-terminal epitope accumulated in serum and on cardiomyocyte surfaces in hypertrophic rodents and human subjects, where they correlated with adverse remodeling and cardiomyocyte loss. Treatment with Amalaki Rasayana (AR), a standardized nutraceutical-based cardioprotective Ayurvedic phytomedicine, and its bioactive component gallic acid (GA) significantly reduced circulating and surface-associated Gal-3 C-epitope oligomers and attenuated hypertrophy-associated cytotoxic signaling. Mechanistically, AR/GA enhanced Ser6 phosphorylation of Gal-3, promoting intracellular retention, while limiting pathological secretion and deleterious extracellular oligomerization. Following AR/GA treatment, the binding of preformed Gal-3 C-epitope oligomers to cardiomyocyte surfaces were further inhibited, thereby suppressing maladaptive mechanotransductive signaling. Importantly, circulating Gal-3 C-epitope oligomers, together with atrial natriuretic peptide (ANP), constituted a drug-responsive biomarker panel that accurately tracked hypertrophy regression, serving as an indicator of drug efficacy. ConclusionsIn summary, Gal-3 C-epitope oligomers represent pathogenic signaling, drug-responsive therapeutic targets and circulating biomarkers of cardiac hypertrophy, with broader relevance to other Gal-3-driven neoplastic, fibrotic, and inflammatory diseases. HighlightsO_LIGalectin-3 C-epitope forms pathogenic extracellular oligomers in pressure-overload induced cardiac hypertrophy. C_LIO_LISurface binding of excess C-epitope oligomers triggers an adverse mechanotransductive remodelling in cardiomyocytes. C_LIO_LIPhytomedicine -Amalaki Rasayana (AR) and its key bioactive compound, gallic acid (GA), effectively inhibit the surface binding and mitigate harmful effects of Gal-3 C-epitope oligomers. C_LIO_LIAR/GA induces the phosphorylation of Gal-3, limiting pathological secretion, extracellular oligomer assembly, and glycan-mediated surface binding. C_LIO_LIIntracellular retention of Gal-3 preserves its crucial cellular functions. C_LIO_LICirculating levels of Gal-3 C-epitope oligomers can be used to monitor the therapeutic regression of cardiac hypertrophy, serving as an indicator of drug efficacy C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=164 HEIGHT=200 SRC="FIGDIR/small/704762v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@4702e9org.highwire.dtl.DTLVardef@10361eorg.highwire.dtl.DTLVardef@51118eorg.highwire.dtl.DTLVardef@57ba37_HPS_FORMAT_FIGEXP M_FIG C_FIG Pressure-overload induces excessive secretion of Galectin-3 and triggers its proteolytic cleavage into the N- and C-terminal epitopes. The extracellular oligomerization of the C-terminal epitope facilitates high-affinity glycan binding and promotes pathological mechanotransductive signaling in cardiomyocytes. Phytochemical modulation by Amalaki rasayana and its bioactive component, gallic acid, induces the phosphorylation of Gal-3, limiting pathological secretion, extracellular oligomer assembly, and glycan-mediated surface binding, while preserving intracellular function. Circulating levels of Gal-3 C-epitope oligomers can be used to monitor the therapeutic regression of cardiac hypertrophy, serving as an indicator of drug efficacy.

cell biology↗