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纺织工人长期肺功能下降的蛋白质组学生物标志物:一项35年的纵向研究。

Proteomic biomarkers of long-term lung function decline in textile workers: a 35-year longitudinal study.

作者信息

Zhao Mengsheng, Wei Liangmin, Zhang Longyao, Hang Jingqing, Zhang Fengying, Su Li, Wang Hantao, Zhang Ruyang, Chen Feng, Christiani David C, Wei Yongyue

机构信息

Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.

Department of Public Health, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

J Expo Sci Environ Epidemiol. 2024 Oct 2. doi: 10.1038/s41370-024-00721-7.

Abstract

BACKGROUND

Occupational exposures contribute significantly to obstructive lung disease among textile workers. However, biomarkers associated with such declines are not available.

OBJECTIVES

We conducted a large-scale proteomic study to explore protein biomarkers potentially associated with long-term lung function decline.

METHODS

Shanghai Textile Workers Cohort was established in 1981 with 35 years of follow-up, assessing textile workers' lung functions every five years. Quantitative serum proteomics was performed on all 453 workers at 2016 survey. We employed four distinct models to examine the association between forced expiratory volume in one second (FEV) and proteins, and consolidated the findings using an aggregated Cauchy association test. Furthermore, proteomic data of UK Biobank (UKB) was used to explore the associations of potential protein markers and decline of FEV, and the interactions of these proteins were examined through STRING database. Associations were also externally validated using two-sample Mendelian randomizations (MR).

RESULTS

15 of 907 analyzed proteins displayed potential associations with long-term FEV decline, including two hemoglobin subunits: hemoglobin subunit beta (HBB, FDR-q = 0.040), alpha globin chain (HBA2, FDR-q = 0.045), and four immunoglobulin subunits: immunoglobulin kappa variable 3-7 (IGKV3-7, FDR-q = 0.003), immunoglobulin heavy chain variable region (IgH, FDR-q = 0.011). Five proteins were significantly associated with the rate of decline of FEV in UKB, in which RAB6A, LRRN1, and BSG were also found to be associated with proteins identified in Shanghai Textile Workers Cohort using STRING database. MR indicated bidirectional associations between HBB and FEV (P < 0.05), while different immunoglobulin subunits exhibited varying associations with FEV.

IMPACT STATEMENT

We performed a large-scale proteomic study of the longest-follow-up pulmonary function cohort of textile workers to date. We discovered multiple novel proteins associated with long-term decline of FEV that have potential for identifying new biomarkers associated with long-term lung function decline among occupational populations, and may identify individuals at risk, as well as potential pharmaceutical targets for early intervention.

摘要

背景

职业暴露是导致纺织工人患阻塞性肺病的重要因素。然而,目前尚无与之相关的生物标志物。

目的

我们开展了一项大规模蛋白质组学研究,以探索可能与长期肺功能下降相关的蛋白质生物标志物。

方法

1981年建立了上海纺织工人队列,并进行了35年的随访,每五年评估一次纺织工人的肺功能。2016年对全部453名工人进行了血清蛋白质组定量分析。我们采用四种不同模型来研究一秒用力呼气容积(FEV)与蛋白质之间的关联,并使用聚合柯西关联检验汇总研究结果。此外,利用英国生物银行(UKB)的蛋白质组学数据来探索潜在蛋白质标志物与FEV下降之间的关联,并通过STRING数据库研究这些蛋白质之间的相互作用。还通过两样本孟德尔随机化(MR)对研究结果进行了外部验证。

结果

在分析的907种蛋白质中,有15种与FEV的长期下降存在潜在关联,其中包括两种血红蛋白亚基:血红蛋白亚基β(HBB,FDR-q = 0.040)、α珠蛋白链(HBA2,FDR-q = 0.045),以及四种免疫球蛋白亚基:免疫球蛋白κ可变区3-7(IGKV3-7,FDR-q = 0.003)、免疫球蛋白重链可变区(IgH,FDR-q = 0.011)。在UKB中,有五种蛋白质与FEV下降速率显著相关,其中RAB6A、LRRN1和BSG也被发现与通过STRING数据库在上海纺织工人队列中鉴定出的蛋白质相关。MR表明HBB与FEV之间存在双向关联(P < 0.05),而不同的免疫球蛋白亚基与FEV的关联各不相同。

影响声明

我们对迄今为止随访时间最长的纺织工人肺功能队列进行了大规模蛋白质组学研究。我们发现了多种与FEV长期下降相关的新蛋白质,这些蛋白质有可能用于识别职业人群中与长期肺功能下降相关的新生物标志物,并可能识别出有风险的个体以及早期干预的潜在药物靶点。

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