Biology subjects

Yadav, M.

Publications and source records attributed to Yadav, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Glial Mutant Huntingtin Expression Initiates a Progressive Pathological Cascade Toward Neuronal Involvement in Drosophila

The mechanisms of involvement of glial cells in the progression of Huntingtons disease remain sparingly elucidated. Using the Drosophila melanogaster model, we investigated the temporal course of the disease pathogenesis induced by pan-glial expression of HTTex1pQ93 in comparison to the temporal course of pathology induced by pan-neuronal expression. Our behavioural data were supported by quantitative confocal microscopy, quantification of aggregate formation and its morphometry, Manders M2 colocalization index, and correlative holotomography. Expression of mHTT in glial cells led to developmental defects and subsequent delayed onset of motor dysfunction and death with increasing amounts of HTT and changes in the immunoreactivity of glial cells. In spite of the progressive increase in HTT accumulation, glial aggregates showed stability after their initial formation, while neuronal mHTT revealed distinct age-dependent remodelling of its aggregates. Importantly, there was an initial preference of glial mHTT for glial compartments followed by a progressively increasing number of HTT in the neurons with aging. Correlative holotomography provided spatial evidence of the neuronal association of HTT. Together, these findings demonstrate that glial mHTT establishes a distinct progressive pathological trajectory characterised by evolving glial pathology, increasing neuronal involvement, and delayed functional decline, highlighting glia as an active component of HD-like disease progression.

neuroscience↗

bioRxiv2026

Contextual Biomedical Language Models for Imbalance-Aware Drug-Food Interaction Classification

Drug-food interactions (DFIs) are essential to patient safety because they can alter drug effectiveness or cause side effects. Automated classification of DFIs is difficult because of unstructured textual data, semantic ambiguity, and class imbalance, especially when separating neutral interactions. This paper presents an imbalance-aware deep learning approach for classifying drug-food interactions into three classes: safe, neutral, and unsafe. A structured dataset is created from textual drug interaction descriptions by extracting drug-food pairs and labeling them using rule-based heuristics. To address class imbalance, we apply class weighting and focal loss while fine-tuning the context-aware BioBERT language model. Our experiments show that the approach reaches an accuracy of 85% and a macro-averaged F1-score of 0.77, with a notable improvement on the minority neutral class (F1-score of 0.56). The main novelty of this work is the combination of contextual biomedical language modeling with imbalance-aware deep learning, enabling more effective classification of DFI datasets.

bioinformatics↗

bioRxiv2026

Anti-target chemical-space coverage of Indian medicinal plant phytochemicals

Computational safety evaluation of phytochemical libraries commonly relies on models trained on experimentally tested compounds and applied to much larger and chemically diverse collections. An important but often overlooked question is whether predicted compounds are adequately represented within the experimental chemical space underlying these models. Here, we examined this question for the Indian Medicinal Plants, Phytochemistry and Therapeutics (IMPPAT) database using experimentally characterized datasets for three anti-target endpoints: hERG blockade, cytochrome P450 (CYP) inhibition, and pregnane X receptor (PXR) induction. After structure standardization, 14,956 unique IMPPAT compounds were compared with 8,877 hERG, 4,905 CYP, and 4,138 PXR reference compounds using consensus nearest-neighbor similarity based on Morgan and atom-pair fingerprints. At a Tanimoto similarity threshold of 0.80, only 0.92%, 0.30%, and 0.46% of IMPPAT compounds had close measured analogs in the hERG, CYP, and PXR datasets, respectively. Relative to the internal nearest-neighbor distributions of the reference datasets, a typical IMPPAT compound lay near the 1st percentile, indicating substantial chemical-space separation. Compounds with close experimental analogs also showed distinct molecular characteristics, with descriptor-based logistic regression yielding cross-validated AUC values of 0.77-0.80. Plant-level enrichment was markedly reduced after excluding widely distributed metabolites and was further restricted when the nearest measured analog was required to have pIC50 or pEC50 [≥] 5. The remaining signals were concentrated in a limited number of taxa, including Rauvolfia, Sinopodophyllum/Dysosma, Cinchona, and Catharanthus roseus. Overall, most IMPPAT phytochemicals lack close structural representation among currently measured anti-target compounds. Computational safety predictions for these molecules should therefore be interpreted as extrapolations and accompanied by explicit measures of structural support. Absence of a close experimental analog should be regarded as a gap in available evidence rather than evidence of safety.

bioinformatics↗

bioRxiv2026

Neurons in the lateral spinal nucleus give rise to the spinotectal component of the anterolateral system in the mouse

The anterolateral system (ALS) originates from neurons in various regions of the spinal cord and conveys somatosensory information related to pain, skin temperature and itch to several brain targets. One component of the ALS is the spinotectal tract, which projects to the superior colliculus (SC) and is thought to underlie directed movements of the head towards a painful stimulus. Using anterograde and retrograde tracing, we demonstrate that the input from the spinal enlargements to the SC originates predominantly from neurons in the lateral spinal nucleus (LSN), many of which express calbindin. This input, which mainly targets the caudal and lateral parts of the SC, is somatotopically organised, and is associated with the clusters of Pitx2-expressing neurons that have been identified in previous studies. Since activation of Pitx2 neurons drives directed head movements, input from LSN neurons to the Pitx2 cells is likely to be a critical component of orientation and attention towards a noxious stimuli. We also provide evidence that spinotectal LSN cells receive excitatory synaptic input from neurons in superficial dorsal horn that express substance P or the gastrin-releasing peptide receptor (GRPR). Since GRPR neurons are strongly implicated in itch, our findings raise the possibility that the SC has a role in coordinating movements in response to pruritic stimuli.

neuroscience↗

bioRxiv2026

Rewiring systemic nodulation control to engineer heat-tolerant nitrogen fixation in Medicago truncatula and chickpea

Root nodule symbiosis allows legumes to meet their nitrogen requirements. However, the causes of symbiosis failure at high temperatures remain unknown. We demonstrated that elevated temperatures affect both the host and the microbial partner in Medicago truncatula and chickpea. Rhizobial viability and nod gene expression persisted under heat stress, but plant transcriptome analysis revealed a strong downregulation of the nodule organogenesis machinery. Nodule organogenesis was restored by constitutive overexpression of NIN-LBD16-NFYA1-NFYB16, miR2111, and CLE5 knockdown but failed to restore nitrogen fixation. In contrast, the genetic manipulation of the competence pathway involving CEP peptides significantly improved both nodulation and nitrogen fixation. Constitutive loss of the autoregulation of nodulation (AON) pathway in the SUNN alleles also rescued root nodulation and nitrogen fixation. Therefore, heat stress perturbs the balance between AON and the competence pathway, and genetic manipulation of these pathways is a promising approach to engineer thermotolerant nitrogen fixation in crop legumes.

plant biology↗

bioRxiv2026

JEV helicase targets host MTOC and participates in the organization of pericentriolar viroplasm

Flaviviruses contribute significantly to the global disease burden and are known to remodel host organelles to their advantage. Centrosomal microtubule-organizing centres (MTOCs) having established role in cell division and signalling are also targeted by viruses. However, it remains uncertain whether they act as bystanders or actively engage in viral processes. Here, we elucidate the centrosome and cytoskeletal involvement during Japanese Encephalitis Virus (JEV) infection. Our virus-free expression studies revealed a centrosome-targeting region within the C-terminal helicase domain that mediates the association of JEV-NS3 with host MTOCs. When expressed exogenously, JEV-NS3 formed pericentriolar aggresomes resembling the helicase-containing viroplasm distribution pattern of infected cells. These pericentriolar viroplasm appears in the non-neuronal cell types with centriolar consequences while the neuronal cell types fail to show such phenotypes. Centriole depletion assays revealed the proviral role of centrosome, where the viroplasm organization depends on centrosomal MTOCs, and vimentin cages. Additionally, microtubule disruption and dynarrestin blockade assays emphasized the roles of microtubules and dynein in concentrating NS3-containing vesicular packets towards centrosomes, highlighting the centrosome-cytoskeleton axis as a potential target for intervention.

cell biology↗

bioRxiv2026

Multi-Domain Interplay Controls Full-Length TDP-43 Phase Separation and Condensate Dynamics

TDP-43 (TAR DNA-binding protein 43) is a 414-amino acid protein with a structured N-terminal domain (NTD), two RNA recognition motifs (RRM1 and RRM2), and a long disordered C-terminal low complexity domain (LCD). TDP-43 forms phase-separated condensates as part of its physiological function in RNA processing. However, aberrant TDP-43 condensation, changes in condensate material properties, and subsequent aggregation are linked to the development of neurodegenerative diseases. Using explicit-solvent, near-atomic resolution coarse-grained simulations we demonstrate how the interplay among different domains drives phase separation of the full-length protein.We directly capture how the secondary structure of a conserved helix in the LCD modulates phase separation, and follow the effect of phosphomimicking mutations on the condensation of full-length TDP-43. C-terminal phosphomimicking mutations rewire the interactions of the LCD by increasing solvation locally and enhancing Na+ binding to the LCD. Our simulations and in vitro experiments emphasize the importance of the aromatic residues in the LCD but also of N-terminal residues 1-101 including the NTD for full-length TDP-43 condensation. With a G[o]-type approach we capture not just conformational flexibility but also specific dimer formation through NTD-NTD interactions and how they modulate the phase behavior as well as the dynamic and interfacial properties of full-length TDP-43 condensates.

biophysics↗

bioRxiv2026

Regions of genome plasticity are systematically organized into recurrent integration spots that shape accessory-genome functional architecture: insights from a complete genome of strain F1C1 and pangenomic analysis of the Ralstonia solanacearum species complex

1The Ralstonia solanacearum species complex (RSSC) is a highly diverse plant pathogen whose evolution is shaped by horizontal gene transfer. We generated a complete, gap-free hybrid genome assembly of F1C1, a South Asian Phylotype I strain classified as R. pseudosolanacearum. The closed assembly resolves a bipartite genome (3.73 Mb chromosome; 2.03 Mb megaplasmid), enabling precise localization of mobile genetic elements. Using F1C1 together with 142 complete RSSC genomes, we implemented a lineage-stratified pangenome framework that reveals a hierarchically structured gene repertoire and shows that accessory gene content can discriminate host-associated lineages beyond core-genome. Pangenome-informed mapping of genome plasticity identified 651 conserved integration spots that concentrate accessory turnover and are enriched for adaptive functions, including type III secretion system effectors and antiviral defense systems (e.g., Wadjet and CRISPR-Cas). Genes within these spots display elevated Ka/Ks relative to housekeeping functions, consistent with conflict-driven diversification and/or relaxed constraint. Together, these results link RSSC genome architecture to adaptive potential and provide a spot-based framework for genomic surveillance and resistance breeding in bacterial wilt pathosystems.

genomics↗

bioRxiv2025

Characterisation of cold-selective lamina I spinal projection neurons

Skin cooling is detected by primary afferents that express the Trpm8 channel, but how this information is conveyed to the brain remains poorly understood. We have previously identified a population of lamina I projection neurons belonging to the anterolateral system (ALS) that receive numerous contacts from Trpm8-expressing primary afferents. Here, using a semi-intact somatosensory preparation, we provide evidence that these cells correspond to the cold-selective ALS neurons identified in previous physiological studies. We also confirm the presence of synapses from Trpm8 afferents onto these cells at the ultrastructural level and with optogenetics. Based on our previous transcriptomic findings, we identify calbindin as a molecular marker, and show that this can be used to target the cold-selective ALS neurons for anterograde tracing studies. We provide evidence that they project to brain regions that have been implicated in thermosensation: the rostralmost part of the lateral parabrachial area, the caudal part of the periaqueductal grey matter, and the posterior triangular and ventral posterolateral nuclei of the thalamus. Our findings provide important insights into the organisation of neuronal circuits that underlie thermoregulation and the perception of cold stimuli applied to the skin.

neuroscience↗

bioRxiv2025

Non-Invasive Diagnostic Evaluation of Urinary Exosomal Let-7c Cluster Expression in Bladder Cancer Using Machine Learning Approaches

BackgroundBladder cancer (BCa) diagnosis typically relies on invasive cystoscopy, which is effective but costly and uncomfortable. Urinary microRNAs (miRNAs), especially exosomal ones, are promising non-invasive biomarkers due to their stability in biological fluids and disease specificity. However, challenges such as population variability, methodological inconsistencies and normalization issues hinder their clinical translation, emphasizing the need for innovative approaches to enhance diagnostic performance. ObjectiveTo evaluate the diagnostic potential of urinary exosomal let-7c cluster (let-7c-5p, miR-99a-5p and miR-125b-5p) in BCa patients by integrating miRNA expression data with Machine Learning (ML) models. MethodsUrine samples were collected from 66 participants, including 50 BCa patients and 16 healthy controls (HC). Exosomal miRNAs were isolated and quantified using Quantitative Real-Time-Polymerase-Chain-Reaction (qRT-PCR). Statistical analysis and hypothesis tests were conducted to explore the nature and diagnostic relevance of individual biomarkers. A logistic regression classifier was applied to evaluate both the combined and differential diagnostic capabilities of the selected biomarkers. Accuracy, precision, recall and AU-ROC scores were used to assess model performance. Bioinformatics analysis was performed to identify pathways associated with the features prioritized by the ML models, ensuring their relevance to BCa. ResultsThe result revealed significant differentiation between BCa patients and HC, with miR-99a-5p (p=0.013, AU-ROC=0.71) and miR-125b-5p (p=0.047, AU-ROC=0.64) demonstrating reliable diagnostic performance (let-7c-5p showed weaker discrimination, AU-ROC=0.65, p>0.1). The logistic regression ML model achieved an accuracy of 80.0% (AU-ROC=0.86, recall=100%) in distinguishing cancer from HC and 53.3% (AU-ROC=0.63) when applied to miRNA-only grade classification. When clinical variables were integrated with miRNA expression, performance improved to 73.3% accuracy (AU-ROC=0.61) for high-versus low-grade differentiation. Across Ta-T2, miR-99a-5p displayed relatively better separation, whereas let-7c-5p and miR-125b-5p showed weak stage-related differences. The integration of bioinformatics analysis confirmed the biological relevance of these miRNAs in BCa-related pathways, including PI3K-Akt, p53, NF-{kappa}B and RAS/MAPK signaling, with hub genes such as TP53, MYC, EGFR, and CCND1 identified, further validating the diagnostic utility of the selected biomarkers. ConclusionUrinary let-7c cluster miRNAs demonstrate promising diagnostic potential when analyzed with ML models, offering a non-invasive alternative to conventional methods. These findings highlight the promise of ML-based approaches alongside molecular markers for advancing clinical diagnostics in BCa.

molecular biology↗

bioRxiv2025

High-Affinity, Structure-Validated and Selective Macrocyclic Peptide Tools for Chemical Biology Studies of Huntingtin

Huntingtons disease (HD) is a fatal neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin (HTT) gene, with no disease-modifying therapies currently available. The precise molecular function of the HTT protein is unclear, and the lack of selective chemical tools has limited functional studies. We have identified and characterized macrocyclic peptide binders targeting HTT. These binders exhibit low-nanomolar affinity in vitro and engage distinct HTT and HTT-HAP40 interfaces, as revealed by hydrogen-deuterium exchange mass spectrometry and cryo-electron microscopy. Chemoproteomics confirmed selective binding in cell extracts from wildtype but not HTT-null cell lines. HAP40 consistently and stoichiometrically co-purified with HTT across cell lines, including with HTT variants containing different CAG repeat lengths, highlighting the broad presence of the HTT-HAP40 complex. Significance StatementHuntingtin (HTT) is a large, essential protein with conserved roles in development, intracellular trafficking, and protein homeostasis, yet its precise molecular functions remain incompletely defined. Here, we report the first high-affinity, selective, and structurally validated macrocyclic peptide ligands for HTT. These chemical tools bind HTT and its complex with HAP40 across polyglutamine repeat lengths, enabling direct interrogation of HTT structure and function in health and disease contexts. By overcoming longstanding barriers to studying HTT at the molecular level, these ligands open new avenues for discovery in neurobiology, cell biology, and offer opportunities for therapeutic development. This study delivers urgently needed tools to both the Huntingtons disease field and the broader scientific community seeking to understand this elusive and biologically fundamental protein.

biochemistry↗

bioRxiv2025

Sertraline enhances bacterial control by improving the pharmacodynamic -pharmacokinetic properties of frontline TB drugs

Given the need for innovative interventions for tackling the burden of TB, host directed therapies have emerged as a promising alternative in recent times. The combination of sertraline with frontline TB drugs has shown excellent promise in the murine models of infection in imparting better bacterial control and increasing host survival. We tested if the addition of sertraline worked to increase bacterial clearance in the random bred guinea pig model of TB infection that mimics the inter individual heterogeneity observed in the human response to infection. The combination of sertraline and frontline TB drugs effectively reduced bacterial burdens in the tissues of guinea pigs significantly better than the drugs alone with a marked betterment of lung histopathology. In order to evaluate the effect of sertraline on the pharmacodynamic properties of TB drugs, concentrations of the drugs were estimated in tissues at different time intervals over a period of 24h of administration to rats. Overall, addition of sertraline did not alter TB drug distribution or clearance from the animals, although enriching drug amounts transiently between 3-6 h in the different tissues. We thus highlight the advantage of an adjunct TB therapy with the inclusion of sertraline, an FDA approved antidepressant, in improving the PKPD of TB drugs and imparting better infection control in diverse models of infection.

microbiology↗

bioRxiv2025

Microbial Scl1 Activates TGFBR1 receptor kinase signalling to Drive Fibrosis-Inflammation Axis in Alcohol-Associated Liver Disease

Background and AimsAlcohol consumption alters gut microbiota, which can affect metabolism, immune regulation, and signalling pathways and lead to alcohol-associated liver disease (ALD). We investigated how alcohol-associated gut microbiota (AGMs) modulate liver kinome signalling to drive inflammation and fibrosis in ALD. MethodLiver kinome and metaproteome changes were studied in rats (n=6/group) colonized with stool of severe alcohol-related hepatitis (SAH) patients (SAH[->]healthy-rats) or healthy human donors (HD[->]ALD-rats). AGM-associated liver kinome changes were cross-correlated with bacterial genera. A bacterial protein; Streptococcal collagen-like protein 1 (Scl1) was identified with affinity for TGF{beta}R1. This was validated by molecular docking and immunoprecipitation-LCMS assay. Expression of Streptococcus pneumonia and pyogenes was done in stool of SAH patients (n=10). Also, Scl1 was quantified in patient stool (n=24) and liver tissue (n=19) samples. Validation was performed by assessing Scl1 level in plasma and Streptococcus level in stool samples before and after fecal microbiota transplantation (FMT) in SAH patients. ResultsStool metaproteomics showed significant increase in 10 bacterial genera (Streptococcus, Staphylococcus, and Clostridium) in SAH[->]Healthy-rats, mirroring changes seen in ALD-rats (FC>1.5, p<0.05). Clusters of Orthologous Groups analysis indicated increased post-translational modifications (PTMs) and decreased lipid metabolism in ALD-rats and SAH[->]Healthy-rats. Liver kinome profiling showed 85 upregulated kinases in SAH[->]Healthy-rats, with 34 overlapping with ALD-rats, associated with inflammation (Mapk14, Map3k10 and others), fibrosis (Tgfbr1, Igf1r, and others), lipid metabolism (Cdk14, Cdk18) and regeneration (Met, Bmpr1a and others). FMT from healthy human-donors to ALD-rats reversed the expression of Streptococcus (10-fold), Staphylococcus (3-fold), and Clostridium (5-fold), along with 18 kinases associated with inflammation (Btk, Camk4, Nuak1) and fibrosis (Tgfbr1, Col4a1, Fgfr2 and others). Strong association (r{superscript 2}>0.9, p<0.05) was seen between Streptococcus abundance and fibrosis and inflammation-related kinases. Level of Scl1 was significantly high in SAH and ALD-rat stool samples (FC>2, p<0.05). It showed strong affinity for TGF{beta}R1, as validated by molecular docking (>86%confidence) and immunoprecipitation assays (>100FC,p<0.05), indicating it as a potential ligand for TGF{beta}R1. Concordantly, expression of Scl1 was highest amongst all the known ligands for TGF{beta}R1 (p<0.05) suggesting Scl1 is a major contributor for TGF{beta}R1 activation and its downstream signalling in these patients. Following fecal microbiota transplantation, expression of Scl1 in plasma and Streptococcus levels in stool were significantly reduced by 2.1-folds and 1.9 folds respectively in SAH patients. Further, Scl1 levels SAH plasma is capable of predicting poor therapeutic response and 30-day mortality with high accuracy (AUC=0.92, cutoff >70 normalized abundance). ConclusionAlcohol induced gut dysbiosis alters the liver kinome, promoting inflammation, fibrosis, and lipid dysregulation. Streptococcal Scl1 is identified as a bacterial protein mimicking human collagen and capable of activating fibrotic signalling pathway through TGF{beta}R1in liver and is capable of predicting poor response in SAH. FMT from healthy donor restores microbial imbalance and harmful microbial-host interactions.

microbiology↗

bioRxiv2025

Micro RNA mediated enhanced growth in Solanum lycopersicum during cadmium hormesis

Hormesis refers to the adaptive mechanism of organisms in response to environmental challenges where a lower dose of a toxic compound induce an improvement in functionality and overall development and a higher dose endangers even the existence of the organism. The recent developments in hormetic studies are of paramount importance in plant research as they help in risk assessment of environmental contaminants, protect the vegetation against pollution, and improve crop productivity. As one of the most toxic contaminants, cadmium is considered to have detrimental effects on the growth and development of plants. However, recent studies have revealed the beneficial effects of cadmium in plants at low levels of exposure however the exact mechanism behind this phenomenon is poorly deciphered. In this study, we have focused on observing the response of tomato seedlings under different concentrations of cadmium. The morphological, biochemical, and histochemical characterization of these seedlings under low cadmium exposure has confirmed their hormetic effects. The differential gene expression by transcriptomic profiling in low cadmium showed that, apart from genes involved in oxidoreductase activity, and signaling, several lncRNAs, also differentially expressed. The lncRNAs are known to regulate gene expression on the chromatin level and post-transcriptional regulation. First time we are reporting the expression of lncRNAs in hormesis as important factor for enhanced growth. In-silico analysis revealed the functions of lncRNAs, involving the prediction of cis-targets, mi-RNA precursors, and their targets. Two miRNAs; sly-MIR396a and sly-MIR1063g were seen to have a direct role in improving the growth of plants treated with low cadmium provided an insight into the molecular mechanisms of their role in cadmium hormesis. These findings provided important understanding of the molecular basis of the hormetic phenomenon which can pave a path for generating crops with improved agronomic characteristics. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/663119v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@8de5b0org.highwire.dtl.DTLVardef@1e2ad13org.highwire.dtl.DTLVardef@d0f7e2org.highwire.dtl.DTLVardef@14238b3_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LILow cadmium exposure on Solanum lycopersicum seedlings showed more promising outcomes in terms of growth and development. C_LIO_LIThe plants exposed to 1{micro}M Cd treatment continued to exhibit superior growth responses despite removing the cadmium from the media after 5 days of treatment. C_LIO_LIThe GO analysis of Differentially Expressed Genes (DEGs) suggested several lncRNAs differentially expressed in 1 {micro}M Cd condition. C_LIO_LIDifferentially expressed LncRNAs Solyc01g006780.4 and Solyc12g019150.1 generated the miRNAs, sly-MIR396a and sly-MIR1063g respectively. C_LIO_LIUpregulation of sly-MIR396a and sly-MIR1063g resulted in the downregulation of GRF12 and NET4B-like proteins respectively leading to increased growth of tomato plants. C_LI

plant biology↗

bioRxiv2025

Liver Kinome Profiling Identifies PS1145 as a Potential Therapeutic molecule for amelioration of Systemic Inflammation in Alcohol-related Liver Disease

Background and aimsAlcohol-related liver disease (ALD) has high mortality due to systemic inflammation. We analysed liver and monocyte kinome profiles in a chronic ethanol-fed pre-clinical rat model to identify therapeutic targets that could mitigate inflammation in ALD. MethodKinome profile was performed in liver and circulating monocytes at baseline, and after 8,12,16,20 and 24-weeks of 40% ethanol administration. Pathway-specific inhibitors, including PS1145 (IKK-phosphorylation inhibitor), PH-797804 (MAPK14 inhibitor), resveratrol and prednisolone were tested for their anti-inflammatory effects in ALD-rats, PBMC from patients and NIAAA mouse model. ResultsKinome profiling identified 497 liver and 345 monocyte kinases in ALD rats (FDR<0.01). A time-dependent increase in MAPK14-associated kinases was observed in both tissues (FC>1.5, p<0.05). By 24 weeks, 172 liver and 48 monocyte kinases were significantly upregulated, particularly those linked to MyD88-TLR4, PI3K-Akt, TNF, TGF{beta}, and cellular senescence pathways. Key contributors included TGF{beta}R1, ROS-generating kinases, and IL-1-driven MAPK14 and IKK phosphorylation. Targeting this axis, PS1145 (an IKK inhibitor) suppressed NF{kappa}B activation and inflammation in THP1 and HepG2 cells, as well as PBMCs from healthy and SAH patients, outperforming PH797804, resveratrol, and prednisolone (p<0.05, FC>1.5). PS1145 significantly reduced IL-6, TNF, and NF{kappa}B, while increasing IL-10. In vivo, PS1145 treatment in the NIAAA mouse model markedly reduced hepatic steatosis, cellular stress and inflammatory pathways (cytokine signalling, IL-36 signalling and others) more effectively than standard therapies, Notably, it also downregulated IL36R, impairing TLR receptor dimerization, suggesting a dual mechanism of action (p<0.05) highlighting its therapeutic potential in ameliorating systemic inflammation in ALD. ConclusionOur study highlights the key role of MAPK14 and MYD88-TLR4 pathway kinases in driving systemic inflammation in SAH. The IKK inhibitor PS1145, by blocking both IKK phosphorylation and TLR dimerization, effectively suppresses inflammatory signalling and improves liver pathology, positioning it as a promising targeted therapy for ALD.

pharmacology and toxicology↗

bioRxiv2025

Metabolomic Profiling of Ashwagandha (Withania somnifera): Linking Bioactive Compounds to Functional Therapeutic Roles

IntroductionWithania somnifera (Ashwagandha) is a widely used medicinal plant with established roles in traditional systems of medicine. Known for diverse pharmacological effects, including neuroprotection, hepatoprotection, enhancement of male fertility, and anti-inflammatory activity. Despite its longstanding use, a deeper understanding of its phytochemical composition and bioactive mechanisms is required to bridge traditional knowledge with modern therapeutic applications. MethodsA comprehensive metabolomics profiling of Withania somnifera was performed to identify and quantify its bioactive secondary metabolites. Focus was placed on major classes such as alkaloids, phenolic compounds, and terpenoids. Known compounds were annotated and categorized based on their abundance, chemical class, and reported biological functions. Particular attention was given to compounds implicated in neuroprotection, liver health, reproductive support, and inflammation-modulation. ResultsThe analysis revealed a rich but low-abundance of known metabolites. Alkaloids such as Gentianaine (8.44%) and Sauroxine (2.94%), and phenolics like Mulberrofuran A (14.58%) and Sulphuretin (9.61%), were among the most prominent. These compounds are associated with antioxidative, anti-inflammatory, and neuroregenerative activities. Terpenoids including Pinocarvone and Ergosterol contributed to hepatoprotective and anti-inflammatory properties. Compounds such as Gomphrenin-I, Sitosterol, Pfaffic acid, beta-Carotene and others (>3%) supported spermatogenesis, while Embelin and Kievitone enhanced oxidative stress response. Although most identified compounds were individually present in low percentages (<0.30%), their collective activity suggests synergistic effects. ConclusionMetabolomic analysis of Withania somnifera confirms high abundance of bioactive secondary metabolites that have hepatoprotective, neuroprotective, anti-oxidant and spermatogenesis-enhancing effects. These findings justify protective and beneficial effect of Withania in promoting stress relief, energy, and overall wellness. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/659832v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1ae8e5forg.highwire.dtl.DTLVardef@105300corg.highwire.dtl.DTLVardef@1958320org.highwire.dtl.DTLVardef@d3ba13_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

A single MHCII neoepitope mRNA vaccine elicits CD4 T- and B- cell responses promoting endogenous CD8 anti-tumor immunity

Recent progress in therapeutic cancer vaccines has shown promising clinical activity, especially when targeting MHC class I (MHCI) neoantigen-specific CD8+ T cell responses in post-surgical patients. To explore the role of CD4+ T cells in vaccine-dependent tumor rejection, we constructed an mRNA lipoplex vaccine encoding a single MHCII-restricted neoantigen. The vaccine elicited Tfh and Th1 cell responses while decreasing Tregs, leading to rejection of established tumors in mice. IL-21 and IFN-{gamma}, crucial for Tfh and Th1 function respectively, contributed to anti-tumor activity. B cells and neoantigen-specific antibodies were also shown to participate in vaccine efficacy. Additionally, conventional type 1 dendritic cells (cDC1s) were essential for eliciting vaccine-induced CD4+ T cells, and both cDC1s and CD4+ T cells were required to enhance endogenous CD8+ responses, which were crucial for tumor control. Our results suggest that immunizing against MHCII neoantigens alone is sufficient to orchestrate a potent and cooperative immune response against cancer.

immunology↗

bioRxiv2025

Chenodeoxycholic Acid Modulation via Bacteroides intestinalis AM1 underscores a Novel Approach in Acute Liver Failure

BackgroundAcute liver failure (ALF) is associated with rapid and progressive hepatocellular injury, and severe metabolic-microbial derangements. We investigated early metabolic markers of non-survival, and a potential microbial intervention using Bacteroides intestinalis-AM1, to improve outcomes in ALF. MethodPlasma metabolomics and meta-proteomics were performed in 40 ALF patients and 5 healthy controls (training cohort). A non-survival marker panel was identified and validated in 270 ALF patients (test cohort) using high resolution mass spectrometry and machine learning. It was functionally validated in acetaminophen-induced ALF mouse model. B. intestinalis-AM1 was used to study alteration of gut bacteria and amelioration of liver injury. ResultsALF non-survivors showed a distinct metabolomic signature with elevated primary bile acids {chenodeoxycholic acid (CDCA), cholic acid (CA)}, tryptophan, tyrosine, and enrichment of pathways linked to inflammation, cell death, and stress response (p<0.01, FDR<0.01, FC>1.5). Non-survivors had higher alpha/beta diversity (p<0.05) with increase in Proteobacteria, Firmicutes, Actinobacteria (p<0.05); functionally associated with energy, amino acid and xenobiotic metabolism (p<0.05). A gut microbiota derangement in converting primary to secondary bile acids was evident as CDCA and cytotoxic metabolites (4-(2-Amino phenyl)-2,4-dioxobutanoate, L-Tyrosine) were higher. Elevated CDCA (logFC>10) levels correlated with mortality in ALF patients as well as in mouse model. In the later, administration of B. intestinalis-AM1 bacteria, (10^9) reduced CDCA and CA levels by enhancing FXR, FGF15, SLC10A1 gene expression, attenuating inflammation (IL-1beta, TLR4-signalling), necroptosis, and modulating glutathione(oxidative-repair), tryptophan(inflammation), and histidine (tissue repair) metabolism. ConclusionHigh levels of chenodeoxycholic acid (CDCA) represent a poor prognostic indicator in ALF patients. B. intestinalis-AM1, a primary-to-secondary bile acid converter, effectively reduce CDCA levels, activated FXR, reduced inflammation and protected hepatocytes, highlighting its therapeutic potential in ALF.

microbiology↗