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Chhabra, R.

Publications and source records attributed to Chhabra, R..

6 recordsLinked to original sources

Spatial Neuroimmune Crosstalk Driving Perineural Invasion in Head and Neck Squamous Cell Carcinoma

BackgroundPerineural invasion (PNI) is a clinically important feature of aggressive head and neck squamous cell carcinoma (HNSCC) and is associated with recurrence and poor survival. However, the spatial organization and molecular programs that characterize tumor-nerve interactions in HNSCC remain incompletely understood. MethodsSingle-cell-resolution Xenium spatial transcriptomic data from 10 HNSCC patients were analyzed to define nerve-associated regions, cell-type composition, tumor-nerve proximity, and perineural transcriptional programs. Complementary Visium spatial transcriptomic datasets were used to assess broader transcriptomic features of nerve-associated regions, including epithelial-mesenchymal transition and inferred ligand-receptor signaling. Clinical relevance was evaluated using bulk transcriptomic validation cohorts from TCGA-HNSC and GSE65858. ResultsSpatial mapping identified a distinct nerve-proximal microenvironment characterized by depletion of mature dendritic cells and altered immune and stromal composition, consistent with localized disruption of antigen-presenting support at the tumor-nerve interface. HPV- tumors exhibited closer tumor-nerve proximity and a higher exploratory PNI index compared with HPV+ tumors, suggesting subtype-specific differences in nerve-associated tumor behavior. Differential expression analysis of perineural versus distal tumor cells identified a spatially enriched gene program, including NFE2L2, MDM2, and PPARG, that demonstrated a nerve-proximal gradient most evident in HPV- disease. A composite three-gene score was associated with worse overall survival in HPV- patients in TCGA-HNSC and validated in GSE65858, while showing limited prognostic value in HPV+ disease. Visium analyses provided complementary evidence of EMT enrichment and inferred tumor-nerve signaling involving neural guidance and adhesion-associated pathways. ConclusionsThese findings support a model in which PNI in HNSCC reflects a spatially organized, transcriptionally distinct tumor-nerve microenvironment, particularly in HPV- disease. The NFE2L2/MDM2/PPARG signature may provide a candidate biomarker for risk stratification and nominates pathways for future mechanistic and therapeutic investigation.

cancer biology↗

Evaluation of Alcohol, Tobacco, and HPVs Synergistic regulation of Head and Neck Squamous Cell Carcinoma Treatment Response to PD-L1 Checkpoint Inhibitor Treatment

Although immune checkpoint inhibitors targeting the programmed death-ligand 1 (PD-L1) axis have transformed the treatment of recurrent and metastatic head and neck squamous cell carcinoma (HNSCC), durable clinical responses remain limited to a minority of patients, and the determinants of treatment resistance remain incompletely understood. Human papillomavirus (HPV) infection, alcohol consumption, tobacco use, and are the three most prominent etiological risk factors for HNSCC; however, despite their well-established individual roles in disease development, the influence of their combined exposure on PD-L1 axis regulation and immunotherapy response remains largely unexplored. In this study, we analyzed multi-omic data from 498 primary HNSCC tumors in The Cancer Genome Atlas (TCGA), stratifying patients into seven subgroups reflecting all observed exposure combinations, with HPV status determined directly from RNA-sequencing reads using Pathoscope. Notably, PD-L1 (CD274) expression was significantly downregulated in the triple-exposure cohort (1.51-fold reduction, p < 0.05), along with reduced expression of the upstream regulator JAK2 (1.44-fold reduction, p < 0.05) being seen. Immune deconvolution suggested progressively greater immune infiltration with accumulating exposures, yet gene set enrichment analysis revealed concurrent downregulation of T cell activation, T cell differentiation, and NK cell-mediated immunity in the triple-exposure subgroup -- consistent with an inflamed but functionally suppressed tumor microenvironment. Preliminary integration with an independent single-cell RNA-sequencing dataset of HNSCC patients undergoing neoadjuvant PD-1/CTLA-4 blockade further suggested enrichment of granulocyte and regulatory T cell populations among non-responding patients. Survival differences between cohorts were also observed, likely reflecting biological heterogeneity driven by distinct etiologies and differences in clinical presentation across exposure groups. Together, these findings provide early insights into how multi-etiological exposure burden may shape PD-L1 axis dysregulation and immune microenvironment remodeling in HNSCC, with potential implications for patient stratification in checkpoint inhibitor therapy.

cancer biology↗

Design of a Multi-Epitope Vaccine using β-barrel Outer Membrane Proteins Identified in Chlamydia trachomatis

Chlamydia trachomatis is an obligate intracellular Gram-negative pathogen responsible for causing sexually transmitted infections (STIs) and trachoma. Current interventions, including screening and antibiotics, are limited due to the widespread nature of asymptomatic infections, and the absence of licensed vaccine exacerbates the challenge. In this study, we predicted outer membrane {beta}-barrel (OMBB) proteins and designed a multi-epitope vaccine (MEV) construct using identified proteins. We employed a consensus-based computational framework on the C. trachomatis D/UW-3/CX proteome and identified 17 OMBB proteins, including well-known Pmp family members and MOMP. Eight OMBB proteins were computationally characterized, which showed significant structural homology with known outer membrane proteins from other bacteria. Sequence-based annotation tools were used to determine their putative functions. B-cell and T-cell epitopes were predicted from the selected proteins. The MEV construct was designed using four cytotoxic T lymphocyte (CTL) epitopes and 29 helper T lymphocyte (HTL) epitopes predicted from six OMBB proteins, which were conserved across 106 C. trachomatis serovars. The vaccine was supplemented at the N-terminus with Cholera enterotoxin subunit B and PADRE sequence to enhance its immunogenicity. The MEV construct of 780 amino acids was antigenic, non-allergenic, non-toxic, and soluble. Secondary structure analysis revealed 95% random coils. The 3D structural model of MEV was generated and validated, confirming its structural reliability. Molecular docking between MEV and Toll-like receptor 4 (TLR4) revealed strong and stable binding interactions, supporting its potential to elicit a strong immune response. This study highlights OMBB proteins as promising immunogenic targets and presents a computationally designed MEV candidate for C. trachomatis infection.

bioinformatics↗

Identification and Characterization of Novel Outer Membrane Proteins of Brachyspira pilosicoli

Brachyspira pilosicoli is a pathogenic, Gram-negative, spirochete bacterium that causes intestinal spirochetosis (IS) in birds, pigs, and humans and is distributed worldwide. This anaerobic intestinal bacterium colonizes the large intestine, potentially leading to colitis, diarrhoea, and decreased growth rate. Outer membrane proteins of Gram-negative bacteria play crucial roles in adhesion and host-pathogen interaction, helping the bacteria to evade the host immune system, and enhancing their virulence. However, B. pilosicoli outer membrane proteins are yet to be identified and characterized. Here, we report the computational discovery of 42 outer membrane {beta}-barrel (OMBB) proteins in B. pilosicoli proteome predicted using a consensus-based computational framework. {beta}-barrel architectures of the predicted proteins were confirmed by generating AlphaFold 3-based structural models. Structure-based functional annotation predicted putative functions for the identified OMBB proteins, including BamA homolog involved in folding and membrane insertion of OMPs, LptD homolog involved in transport of lipopolysaccharides into the OM, efflux pumps, transporters, enzymes, diffusion channels, and porins. Sequence variations across nine strains of B. pilosicoli were identified and mapped onto structural models, revealing that many of the variations were present on the surface exposed loop regions of the {beta}-barrel structures. Our in-silico analysis has identified 42 OMBB proteins, including homologs of BamA, LptD, TolC, TonB-dependent receptors, CsgG. Seven of these were identified as hypothetical proteins. Computational characterization of the predicted OMBB proteins offer insights into their potential roles in physiology, virulence, and disease pathogenesis, highlighting their potential for applications in diagnostics, vaccine development, or therapeutic interventions.

bioinformatics↗

Genomic perspectives of SARS CoV-2 in liver disease patients with its clinical correlation: A single centre retrospective study

BackgroundSevere Acute Respiratory Syndrome Coronavirus-2 (SARS CoV-2), is a causative agent of current global pandemic of Coronavirus disease-19 (COVID-19). Due to propagated outbreak and global vaccination drive an immense immunological selection pressure has been exerted on SARS CoV-2 leading to evolution of new variants. This study was performed to compare the mutational and clinical profile of liver disease patients infected with different variants of SARS CoV-2. MethodologyThis was a single-centre, retrospective, cohort study in which clinicogenomic analysis of liver disease (LD) patients infected with SARS CoV-2 was performed. Complete demographic and clinical details were retrieved from Hospital Information System (HIS). QC-threshold passed FASTA files containing sequences from COVID-19 patients (n=174) were compared with a reference genome of SARS-CoV-2 isolate named Wuhan-Hu-1 (NCBI Reference Sequence: NC_045512.2) for mutational analysis. ResultsOut of 232 finally analysed patients 137 (59.1%) were LD-CoV (+) and 95 (40.9%) were LD-CoV(-). LD patients with comorbidities were affected more with COVID-19 (p=0.002). On comparing the outcome in the terms of mortality, LD-CoV (+) had 2.29 times (OR 2.29, CI 95%, 1.25-4.29) higher of odds of succumbing to COVID-19 (p=0.006). Multivariate regression analysis revealed, abdominal distention (p=0.05), severe COVID-19 pneumonia (p=0.046) and the change in serum bilirubin levels (p=0.005) as well as Alkaline phosphatase (ALP) levels (p=0.003) to have an association with adverse outcome in LD patients with COVID-19. In Delta (22%) and Omicron (48%) groups, Spike gene harboured maximum mutations. On comparing the mutations between LD-CoV(+/D) and LD-CoV(+/O) a total of nine genes had more mutations in LD-CoV(+/O) whereas three genes had more mutations in LD-CoV(+/D). ConclusionWe concluded that LD patients are more susceptible to COVID-19 as compared to a healthy adult with associated adverse clinical outcomes in terms of mortality and morbidity. Therefore this special group should be given priority while devising and introducing new vaccination and vaccination policies. The infection with different variants did not result in different outcome in our group of patients.

microbiology↗

Proteome-wide characterization and biomarker identification of intracranial aneurysm

The scientific basis of intracranial aneurysm (IA) formation, its rupture and further development of cerebral vasospasm remains incompletely understood. Deciphering the molecular mechanisms underlying these events will lead to identification of early detection biomarkers and in turn, improved treatment outcomes. Aberrant protein expression may drive structural alterations of vasculature found in IA. To unravel these aberrations, we performed untargeted, global, quantitative proteomic analysis of aneurysm tissue and serum from patients with IA. Samples were derived from patients of three clinical sub groups- 1) unruptured aneurysm 2) ruptured aneurysm without vasospasm 3) ruptured aneurysm who developed vasospasm. A total of 937 and 294 proteins were identified in aneurysm tissue and serum samples respectively. Several proteins that are known to maintain the structural integrity of vasculature were found to be dysregulated. ORM1, a glycoprotein, was significantly upregulated in both the aneurysm tissue and serum samples of unruptured IA patients. We employed a larger cohort of patients and validated ORM1 as a potential biomarker for screening of unruptured aneurysm using ELISA. Samples from ruptured aneurysm with vasospasm showed significant upregulation of MMP9 as compared to ruptured aneurysm without vasospasm. Using a cohort of ruptured aneurysm patients with and without vasospasm, we validated MMP9 as a potential biomarker for vasospasm. This study reveals pathophysiology underlying different clinical sub groups of IA and also suggests potential biomarkers.

neuroscience↗