Evidence map›Paper›PMID 39358504›Full record

ArticleJournal of exposure science & environmental epidemiology2025

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

Mengsheng Zhao, Liangmin Wei, Longyao Zhang, Jingqing Hang, Fengying Zhang, Li Su, Hantao Wang, Ruyang Zhang, Feng Chen, David C Christiani and 1 more

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mengsheng Zhao *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Liangmin Wei *Department of Public Health, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Longyao ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jingqing HangDepartment of Pulmonary Medicine, Shanghai Putuo District People's Hospital, Shanghai, China.
Fengying ZhangDepartment of Pulmonary Medicine, Shanghai Putuo District People's Hospital, Shanghai, China.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Hantao WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Feng ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
David C ChristianiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. dchris@hsph.harvard.edu.
Yongyue WeiCenter for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China. ywei@pku.edu.cn.ORCID http://orcid.org/0000-0002-1132-1796

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
NCI NIH HHS R35 CA197449NIEHS NIH HHS P30 ES000002NIOSH CDC HHS R01 OH002421
6 · The paper itself

Abstract

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

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

methodsShanghai 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

results15 of 907 analyzed proteins displayed potential associations with long-term 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

Indexed as

LungOccupational ExposureTextile IndustryAdultBiomarkersChinaFemaleForced Expiratory VolumeHumansLongitudinal StudiesMaleMiddle AgedProteomicsBiomarkersBiomarkersLung functionProteomicsTextile workers

Identifiers

PMID39358504
PMCPMC12234346

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.