Abha Chopra | PubMed Health

PubMed2025

HLA-B Alleles With Shared Peptide Binding Specificities Define Global Risk of Co-trimoxazole-Induced Severe Cutaneous Adverse Drug Reactions.

BACKGROUND: Co-trimoxazole is a leading global cause of severe cutaneous adverse drug reactions (SCAR) including Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) and drug reaction with eosinophilia and systemic symptoms (DRESS). Co-trimoxazole-induced SCAR are associated with HLA class I alleles including HLA-B∗13:01 and HLA-B∗38:02 in Southeast Asian (SEA) populations. However, the global generalizability of these associations is unknown but critical for population-appropriate risk stratification and diagnosis. OBJECTIVE: To determine HLA risk factors associated with co-trimoxazole-induced SJS/TEN and DRESS in populations from the United States and South Africa. METHODS: We performed high-resolution HLA typing on dermatologist-adjudicated co-trimoxazole-induced patients with SCAR in the United States (n = 63) and South Africa (n = 26) compared with population controls. Peptide binding and docking analyses were performed using MHCcluster2.0 and CB-Dock2. RESULTS: In a multiple logistic regression model, HLA-B∗44:03 (corrected P [Pc] < .001; odds ratio [OR] = 4.08), HLA-B∗38:01 (Pc < .001; OR = 5.66), and HLA-C∗04:01 (Pc = .003; OR = 2.50) were independently associated with co-trimoxazole-induced SJS/TEN in the United States. HLA-B∗44:03 was also associated with co-trimoxazole-induced DRESS in South Africa (Pc = .019; OR = 10.69). Distinct HLA-B variants with shared peptide binding specificities (SPBS) and HLA-C∗04:01 identified 94% and 78% of co-trimoxazole-induced SJS/TEN and DRESS in the United States, respectively. The SEA risk allele HLA-B∗13:01, with SPBS to HLA-B∗44:03, was identified in just one of 63 US patients with SCAR. CONCLUSIONS: HLA alleles with SPBS to SEA-related risk alleles, including HLA-B∗44:03 (SPBS with HLA-B∗13:01) and HLA-B∗38:01 (SPBS with HLA-B∗38:02) but also HLA-C∗04:01, predisposed to co-trimoxazole-induced SCAR in the United States and South Africa. These findings provide biological plausibility and strategies for global risk prediction and diagnosis of co-trimoxazole-induced SCAR.

Humans↗

PubMed2025

Dual RNA isolation from blood: an optimized protocol for host and bacterial RNA purification for dual RNA-sequencing analysis in whole blood sepsis samples.

Dual RNA-sequencing (dual RNA-seq) holds significant promise for deciphering bacterial virulence mechanisms during systemic infections. However, its application in sepsis research is hindered by technical challenges, including a low bacterial burden in blood and limited sample volumes and RNA yield from vulnerable populations, such as neonates. We developed an optimized protocol [dual RNA isolation from blood (DRIB)] for simultaneous stabilization, isolation and purification of high-quality host leukocyte and bacterial RNA from low-volume whole blood samples (0.5 ml). This protocol is compatible with clinical sample collection workflows and high-throughput RNA sequencing. The feasibility of DRIB for dual RNA-seq was validated using a pilot cohort of clinical adult sepsis samples, enabling the investigation of host-bacterial gene expression during sepsis. The DRIB protocol yielded 2.10-6.91 µg of total RNA per clinical sample in our pilot cohort. Dual-species ribosomal RNA (rRNA) depletion and RNA-seq generated 16.6-24.8 million filtered reads per sample, with 63±7% of reads uniquely mapped to host or bacterial sequences. Host genes accounted for 51-68% (8.4-10.9 million) reads, while 0.5-6.7% (79,496-789,808 reads) mapped to bacterial genomes. Bioinformatic analysis revealed that both shared and individual transcriptional patterns were identified in host and bacterial responses, including pathways related to immune metabolism and metal-ion binding. Our optimized DRIB protocol and RNA-seq pipeline effectively captured both host and bacterial RNA transcription in clinical sepsis samples. Expanding this approach to larger cohorts and varying disease timepoints will provide crucial new insights into host-bacterial gene co-expression dynamics in sepsis progression and outcomes.

Humans↗