Evidence map›Paper›PMID 41620459›Full record

ArticleNature communications2026

Plasma proteome mediates the associations between air pollution exposure and disease risk.

Wenran Li, Kaixuan Li, Puchen Zhou, Yingyu Cheng, Yiran Zhao, Xia Meng, Yue Niu, Geng Zong, Guoqing Zhang, Haidong Kan and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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. Article
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.

Wenran Li *Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0002-1712-6895
Kaixuan Li *Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Puchen ZhouShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Yingyu ChengShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Yiran ZhaoShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Xia MengSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Yue NiuSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Geng ZongShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Guoqing ZhangBio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China. kanh@fudan.edu.cn.ORCID 0000-0002-1871-8999
Sijia WangShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. wangsijia@sinh.ac.cn.ORCID 0000-0001-6961-7867

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 32200472National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 92043301
6 · The paper itself

Abstract

Air pollution has been increasingly linked to a wide range of diseases, yet the underlying biological mechanisms remain poorly understood. Here, we systematically investigate how circulating proteins mediate the health effects of multiple air pollutants and quantify individual susceptibility. Using large-scale data from the UK Biobank, we identify 30 diseases significantly associated with air pollution exposure. We uncover 1,089 pollutant-associated proteins enriched in immune pathways, among which 296 significantly mediate disease risk. Notably, the mediating pathways of air pollution vary by disease types, involving MAPK signaling in cardiovascular diseases, innate immunity in immune disorders, carbohydrate metabolism in metabolic diseases, and cell proliferation in respiratory conditions. Globally, the proteome mediates 23.69% of the association between air pollution and diseases. Based on these mediators, we develop an Air Pollution Protein Risk Score (APPRS), which shows robust associations with disease risk in the UKBB and two external validation cohorts. APPRS also improves disease prediction when integrated into baseline models. Collectively, our study highlights the central role of circulating proteins in mediating the health impacts of air pollution and introduces APPRS as a tool for personalized risk assessment and precision public health interventions.

Indexed as

Air PollutantsAir PollutionBlood ProteinsEnvironmental ExposureProteomeCardiovascular DiseasesHumansRisk AssessmentRisk FactorsUK BiobankUnited KingdomAir PollutantsBlood ProteinsProteome

Identifiers

PMID41620459
PMCPMC12963387

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.