Evidence map›Paper›PMID 42135734›Full record

ArticleLipids in health and disease2026

Plasma fatty acid composition modifies the cardiovascular risk of long-term PM

Cong Zhao, Leying Zhao, Yihan Zhang, Lu Wang, Jinghua Yang, Ang Gao, Jisheng Wang, Xian Wang

Abstract read
In one paragraph

Article in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Cong Zhao *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Leying Zhao *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yihan Zhang *Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Lu WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jinghua YangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ang GaoDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jisheng WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China. houdejisheng@sina.com.
Xian WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China. wx650515@163.com.

Funding

National Major Science and Technology Projects of China 2025ZD0546600
6 · The paper itself

Abstract

backgroundThis study aimed to investigate whether plasma fatty acid composition is associated with incident atherosclerotic cardiovascular disease (ASCVD) and whether it modifies the cardiovascular risk associated with long-term exposure to fine particulate matter (PM

methodsThis prospective cohort study included 428,048 UK Biobank participants free of ASCVD at baseline. Plasma fatty acids were quantified using

resultsDuring a median follow-up of 12.5 years, 45,880 incident ASCVD events were documented. Higher absolute fatty acid concentrations were positively associated with ASCVD risk, possibly reflecting underlying metabolic disturbances. In contrast, relative compositional indices, particularly the polyunsaturated-to-monounsaturated fatty acid (PUFA/MUFA) ratio and docosahexaenoic acid percentage (DHA%), were inversely associated with ASCVD risk. Compared with the lowest quartile, the highest quartile of the PUFA/MUFA ratio was associated with a 25% lower risk of ASCVD (hazard ratio [HR] = 0.75, 95% confidence interval [CI]: 0.73-0.77). A higher DHA% showed a similar inverse association. In joint analyses, significant additive interactions were observed between high PM

conclusionsA more favorable plasma fatty acid composition, characterized by a higher PUFA/MUFA ratio and higher DHA proportion, was associated with a lower risk of incident ASCVD and appeared to attenuate the excess cardiovascular risk associated with long-term PM

Indexed as

AtherosclerosisCardiovascular DiseasesEnvironmental ExposureFatty AcidsParticulate MatterAgedFatty Acids, UnsaturatedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsFatty AcidsFatty Acids, UnsaturatedParticulate MatterAir pollutionAtherosclerotic cardiovascular diseasePolyunsaturated fatty acidsProspective cohort studyUK Biobank

Identifiers

PMID42135734
PMCPMC13348633

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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.