Search PubMedSearch

PubMed · 42456427

Heightened frequency of innate immunity risk alleles in south Indian diabetics with urinary tract infections.

Abstract

Urinary Tract Infections are an emerging public health concern among individuals with diabetes mellitus, particularly in South Asia where high disease burden, genetic diversity and increasing drug resistance contribute to the progressive increase in burden. While metabolic and clinical risk factors are well studied, the role of host innate immune genetic variations in shaping UTI susceptibility among diabetics remains poorly understood. This case-control study evaluated functional polymorphisms in key innate immunity genes, TLR4 (rs4986790, rs4986791), MBL2 (rs1800450) and LTA (rs909253), in 70 T2D patients with UTI and 70 T2D patients without UTI. Genotyping was performed using 5'-hydrolysis probe assay. Across all the four SNPs, the risk allele consistently showed a higher frequency among T2D patients with UTI, indicating a directional trend suggestive of cumulative susceptibility. Also, a strong and significant protective association was observed for the LTA rs909253 'G' allele, which was less frequent in cases than controls. This low-inflammatory 'AA' genotype was also markedly enriched among rUTI cases compared to controls. Clinically, 34.3% of cases experienced rUTIs. This observed directional increase of risk alleles across all four innate immunity SNPs, along with the protective role of LTA rs909253 'G' allele, highlights cumulative host genetic modulation of UTI risk in T2D and supports translational use of genetic profiling in infection risk prediction.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Priyanka Balaji, M Emmanuel Bhaskar, R Gnanasambandan, P Sneha, Senita Samuel, Govindasamy Bharath, Arasambattu Kannan Munirajan, Solomon F D Paul. 2026-07-15. Heightened frequency of innate immunity risk alleles in south Indian diabetics with urinary tract infections.. https://doi.org/10.1016/j.humimm.2026.111795

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans