Jiarong Yang, Zizheng Lv, Liguo Liu, Han Zhang, Jie Hu, Xingzhu Geng, Henan Xin, Zisen Liu, Lei Gao, Xiaobing Zhang, Yanli Xu, Rongmei Liu, Qi Jin, Jianhua Zheng
{"title":"外周血中性粒细胞蛋白质组学分析与转录组学数据整合揭示结核感染诊断的生物标志物。","authors":"Jiarong Yang, Zizheng Lv, Liguo Liu, Han Zhang, Jie Hu, Xingzhu Geng, Henan Xin, Zisen Liu, Lei Gao, Xiaobing Zhang, Yanli Xu, Rongmei Liu, Qi Jin, Jianhua Zheng","doi":"10.1016/j.ebiom.2025.105945","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis (TB) is one of the deadliest infectious diseases worldwide, causing millions of new cases and deaths annually. Rapid and accurate TB diagnostics are essential for TB control, yet current methods do not fully meet global needs. Peripheral blood neutrophils play a critical role in TB infection and represent a promising source of diagnostic markers.</p><p><strong>Methods: </strong>We conducted a cross-sectional proteomic analysis to characterise neutrophil protein profiles in individuals with active TB (ATB), latent TB infection (LTBI), and healthy controls (HC). Stringent criteria were applied to identify differentially expressed proteins (DEPs) among these groups. Transcriptomic data were integrated to perform pathway enrichment analysis of DEPs. Three DEPs (B2M, TXN, and PRDX5) were further validated as candidate diagnostic biomarkers for Mycobacterium tuberculosis (MTB) infection using automated western blotting in a cohort of 319 individuals, including 71 ATB, 142 LTBI, and 106 HC.</p><p><strong>Findings: </strong>Hundreds of DEPs were identified across the three groups. Integrated transcriptomic analysis revealed significant enrichment of DEPs in the NOD-like receptor signalling pathway. Receiver operating characteristic analysis of the three-protein combination (B2M, TXN, and PRDX5) yielded an area under the curve of 0.9847, with a sensitivity of 95.11% and a specificity of 96.23% for detecting MTB infection.</p><p><strong>Interpretation: </strong>This study presents a comprehensive proteomic profile of neutrophils under different MTB infection states, and this three-protein combination may assist in the diagnosis of MTB infection.</p><p><strong>Funding: </strong>This work was supported by the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M-1-037) and the National Science and Technology Major Project of China (20212017ZX10201301-002-003).</p>","PeriodicalId":11494,"journal":{"name":"EBioMedicine","volume":"120 ","pages":"105945"},"PeriodicalIF":10.8000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Peripheral blood neutrophil proteomic profiling with transcriptomic data integration reveals biomarkers for tuberculosis infection diagnosis.\",\"authors\":\"Jiarong Yang, Zizheng Lv, Liguo Liu, Han Zhang, Jie Hu, Xingzhu Geng, Henan Xin, Zisen Liu, Lei Gao, Xiaobing Zhang, Yanli Xu, Rongmei Liu, Qi Jin, Jianhua Zheng\",\"doi\":\"10.1016/j.ebiom.2025.105945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Tuberculosis (TB) is one of the deadliest infectious diseases worldwide, causing millions of new cases and deaths annually. 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Peripheral blood neutrophil proteomic profiling with transcriptomic data integration reveals biomarkers for tuberculosis infection diagnosis.
Background: Tuberculosis (TB) is one of the deadliest infectious diseases worldwide, causing millions of new cases and deaths annually. Rapid and accurate TB diagnostics are essential for TB control, yet current methods do not fully meet global needs. Peripheral blood neutrophils play a critical role in TB infection and represent a promising source of diagnostic markers.
Methods: We conducted a cross-sectional proteomic analysis to characterise neutrophil protein profiles in individuals with active TB (ATB), latent TB infection (LTBI), and healthy controls (HC). Stringent criteria were applied to identify differentially expressed proteins (DEPs) among these groups. Transcriptomic data were integrated to perform pathway enrichment analysis of DEPs. Three DEPs (B2M, TXN, and PRDX5) were further validated as candidate diagnostic biomarkers for Mycobacterium tuberculosis (MTB) infection using automated western blotting in a cohort of 319 individuals, including 71 ATB, 142 LTBI, and 106 HC.
Findings: Hundreds of DEPs were identified across the three groups. Integrated transcriptomic analysis revealed significant enrichment of DEPs in the NOD-like receptor signalling pathway. Receiver operating characteristic analysis of the three-protein combination (B2M, TXN, and PRDX5) yielded an area under the curve of 0.9847, with a sensitivity of 95.11% and a specificity of 96.23% for detecting MTB infection.
Interpretation: This study presents a comprehensive proteomic profile of neutrophils under different MTB infection states, and this three-protein combination may assist in the diagnosis of MTB infection.
Funding: This work was supported by the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M-1-037) and the National Science and Technology Major Project of China (20212017ZX10201301-002-003).
EBioMedicineBiochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍:
eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.