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Hakeemah H Al-Nakhle

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Open access Jul 2026

Integrative Clinical and Functional Characterization of the TCF7L2 rs7903146 Variant Reveals Regulatory Mechanisms Linking Genetic Susceptibility to Oxidative Stress in Type 2 Diabetes

Background: The transcription factor 7-like 2 (TCF7L2) gene is one of the strongest genetic determinants of type 2 diabetes mellitus (T2DM), with the rs7903146 (C > T) polymorphism consistently associated with impaired insulin secretion and glucose dysregulation. This study investigated the associations between the TCF7L2 rs7903146 polymorphism, glycemic control, oxidative stress biomarkers, and T2DM susceptibility, integrating bioinformatic analyses to explore the functional significance of this variant. Methods: This case–control study included 200 patients with T2DM, 100 prediabetic individuals, and 120 healthy controls. Genotyping of rs7903146 was performed using TaqMan SNP assays. Biochemical analyses included fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), lipid profile, and oxidative stress biomarkers, including superoxide dismutase (SOD), glutathione peroxidase (GPx), total antioxidant capacity (TAC), and malondialdehyde (MDA). Bioinformatic analyses included population frequency analysis, regulatory annotation, chromatin accessibility assessment, expression quantitative trait locus (eQTL) analysis, protein interaction network construction, and pathway enrichment analyses to investigate the functional consequences of rs7903146. Results: The T allele frequency was markedly higher in T2DM patients (33.5%) and prediabetic individuals (30%) than in controls (13.3%) (p < 0.001). T2DM susceptibility increased under allelic (OR = 3.27, 95% CI: 2.14–5.01), dominant (OR = 3.9, 95% CI: 2.37–6.42), and recessive (OR = 6.92, 95% CI: 1.59–30.07) models (p < 0.01). T2DM patients also showed significantly lower superoxide dismutase (SOD) and glutathione peroxidase (GPx) activities, lower total antioxidant capacity (TAC), and higher MDA levels (p < 0.001). T allele carriers had poorer glycemic control and greater oxidative stress. Bioinformatic analyses showed that rs7903146 resides within an active intronic regulatory region with chromatin accessibility, enhancer-associated histone marks, transcription factor occupancy, and candidate cis-regulatory elements. eQTL analyses showed tissue-specific effects on TCF7L2 expression, while network and pathway analyses highlighted WNT signaling, β-catenin transcriptional complexes, and metabolic regulation and oxidative stress pathways. Conclusions: The TCF7L2 rs7903146 polymorphism was significantly associated with T2DM susceptibility, impaired glycemic regulation, and altered oxidative stress biomarkers. Bioinformatic analyses provided predictive evidence suggesting that rs7903146 may have tissue-specific regulatory relevance and may be indirectly linked to metabolic and WNT/β-catenin signaling pathways. However, because of the observational case–control design, these findings do not establish causality, and the proposed regulatory mechanisms require experimental validation.

Ahmed M. Ahmed, Hakeemah H Al-Nakhle, Amjad M. Yousuf et al. · 0 citations
Open access Aug 2026

Tumor-Intrinsic DNA Damage Signaling Is Associated with MHC-I Expression and CD8 Cytotoxic T-Cell Engagement in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is characterized by marked immune microenvironment heterogeneity and variable chemotherapy response, yet the epithelial transcriptional programs governing cytotoxic immune activation remain poorly understood. We performed an exploratory, integrative analysis using single-cell RNA sequencing of 31,962 cells from eight TNBC patients operationally stratified into Good and Bad Prognosis groups based on pathological lymphoid infiltration, a discovery grouping subsequently validated against pathological complete response (pCR) in three independent bulk RNA-seq cohorts. This analysis identified four epithelial transcriptional states. The G5 DNA damage subpopulation—predominantly restricted to Good Prognosis tumors (29.2% vs. 0%)—and the G4 Metabolism subpopulation—2.4-fold enriched in Bad Prognosis—were the primary prognostic signatures. Machine learning validation using nested leave-one-cohort-out (LOCO) cross-validation across 614 samples demonstrated that G4 + G5 raw genes with random forest yielded the largest observed mean AUC of 0.653, though these results are exploratory and do not establish a validated clinical classifier. CellChat ligand–receptor interaction analysis revealed that G5 DNA-damage epithelial cells are the dominant immune activators in Good Prognosis TNBC, predominantly engaging CD8 cytotoxic T cells through MHC-I antigen presentation via HLA-A/B/C/E/F → CD8A/CD8B interactions, the highest-probability signaling pathway identified. Spatial transcriptomics independently validated significantly higher DNA damage and CD8 T-cell scores in Good Prognosis tissue. Together, these exploratory findings suggest a framework in which tumor-intrinsic DNA damage signaling is associated with MHC-I antigen presentation upregulation and CD8 cytotoxic T-cell engagement, supporting further investigation of this axis and its potential implications for combining DNA-damaging chemotherapy with immune checkpoint blockade in TNBC.

Zinab O. Doha, E. AbuAzzah, Hakeemah H Al-Nakhle · 0 citations