Analysis of gene polymorphisms in patients with pulmonary infections based on next-generation sequencing technology and their prognostic predictive value

基于新一代测序技术分析肺部感染患者的基因多态性及其预后预测价值

阅读:1

Abstract

Pulmonary infections are a leading cause of morbidity and mortality worldwide, particularly among vulnerable populations such as children and the older adult. Gene polymorphisms play a critical role in disease susceptibility, progression, and prognosis, yet their specific contributions to pulmonary infections remain underexplored. This study utilized next-generation sequencing (NGS) technology to analyze gene polymorphisms in 200 patients with pulmonary infections and evaluate their prognostic value. Key findings include significant associations between polymorphisms in TLR4 (rs4986790), IL-10 (rs1800896), TNF-α (rs1800629), and MBL2 (rs1800450) with infection susceptibility, disease severity, and survival outcomes. Notably, carriers of the TLR4 rs4986790 mutation exhibited increased risk of severe infections and prolonged hospital stays, while IL-10 rs1800896 was linked to higher complication rates, particularly respiratory failure and sepsis. A polygenic risk score (PRS) revealed that high-risk patients had significantly elevated 30-day mortality and complication rates. These results highlight the potential of gene polymorphisms as prognostic biomarkers and personalized treatment targets. Future research should validate these findings in larger, diverse cohorts and explore functional mechanisms.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。