ArticleAmerican journal of translational research2026
Association between inflammatory cytokine gene polymorphisms and asthma susceptibility in Chinese Han children: a retrospective case-control study for potential diagnostic biomarkers.
Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesThis retrospective case-control study aimed to examine asthma prevalence and associated risk factors among the Han Chinese population, with particular emphasis on evaluating the interplay between inflammatory cytokine profiles and genetic polymorphisms in asthma pathogenesis.
methodsConducted at Shanghai Seventh People's Hospital, the study recruited 480 pediatric asthma patients and 840 matched controls. Comprehensive data collection included standardized clinical evaluations and epidemiological questionnaires. Laboratory analyses comprised enzyme-linked immunosorbent assay (ELISA)-based quantification of interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-10 (IL-10), interleukin-17 (IL-17), interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α) and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) genotyping of relevant polymorphisms.
resultsAsthma cases demonstrated markedly increased cytokine levels versus controls (P<0.05). Significant associations were found for IL-1β -511C/T (OR=1.88, 95% CI: 1.38-2.57, P<0.05), IL-10 -1082G/A (OR=1.65, 95% CI: 1.25-2.17, P<0.05), IFN-γ +2108 A/G (OR=2.36, 95% CI: 1.18-4.73, P<0.05), and TNF-α -308 G/A (OR=1.65, 95% CI: 1.25-2.17, P<0.05).
conclusionsCytokine gene polymorphisms in IL-1B, IFN-γ, TNF-α, and IL1B are associated with altered inflammatory profiles in asthma, suggesting a genetic contribution to disease-related immune dysregulation. The findings establish that both cytokine dysregulation and specific genetic variants contribute to asthma susceptibility in the Chinese Han population. Our study suggests that these factors hold potential as biomarkers for the diagnosis and clinical prognosis of asthma.
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