Evidence map›Paper›PMID 41392280›Full record

ArticleCardiovascular diabetology2025

Proteomic signature of metabolic dysfunction-associated steatotic liver disease and risk of atherosclerotic cardiovascular disease.

Lulu Pan, Mujie Shen, Yahang Liu, Chen Huang, Ruilang Lin, Guoyou Qin, Yongfu Yu

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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

7 authors.

Lulu Pan *Department of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Mujie Shen *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
Yahang LiuDepartment of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Chen HuangDepartment of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Ruilang LinDepartment of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Guoyou QinDepartment of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China. gyqin@fudan.edu.cn.
Yongfu YuDepartment of Biostatistics, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China. yu@fudan.edu.cn.

Funding

National Natural Science Foundation of China 82273730National Natural Science Foundation of China 82473724Shanghai Municipal Natural Science Foundation 22ZR1414900Shanghai Municipal Science and Technology Major Project ZD2021CY001the Three-Year Public Health Action Plan of Shanghai GWVI-11.2-XD10
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, evidence on proteomic mechanisms linking MASLD to ASCVD is limited. This study aims to identify proteomic signatures of MASLD and ASCVD subtypes (ischemic heart disease [IHD], peripheral artery disease [PAD], and stroke), evaluate mediating effects of proteins, and develop a proteomic-based ASCVD risk prediction model in MASLD patients. Among 40,913 UK Biobank participants (median follow-up 13.42 years [interquartile range, 12.52-14.22]), 14,425 (35.26%) had MASLD at baseline, and 6,014 (14.70%) developed ASCVD during follow-up (4,420 IHD, 866 PAD, and 1,767 stroke events; subtypes not mutually exclusive). We constructed a binary variable representing proteomics-inferred MASLD (cProMASLD) from MASLD-associated proteins. Two-step Mendelian randomization was applied to assess the mediating effects of proteins associated with MASLD and ASCVD subtypes. Furthermore, we integrated the all shared proteins associated with both MASLD and ASCVD subtypes into the conventional SCORE2 model to develop a prediction model specifically for ASCVD subtypes in the MASLD population, named Pro-SCORE2. Both MASLD and cProMASLD were significantly associated with an increased risk of ASCVD subtypes, with stronger associations observed for cProMASLD (IHD: HR 1.50 [95% CI 1.41-1.60] vs. 1.58 [1.48-1.68]; PAD: 1.25 [1.09-1.44] vs. 1.43 [1.24-1.64]; stroke: 1.19 [1.08-1.31] vs. 1.21[1.10-1.34]). After adjusting for MASLD, cProMASLD remained positively associated with ASCVD risk. This suggests that cProMASLD may capture MASLD-related physiological heterogeneity beyond clinical MASLD classification. We found 15, 3, and 3 proteins mediating the associations of MASLD with IHD, PAD, and stroke, respectively, including FABP4 (MASLD-IHD, mediation proportion: 15.12%), IL7R (MASLD-PAD, 7.45%), and EDA2R (MASLD-stroke, 9.24%). The Pro-SCORE2 significantly improved ASCVD risk prediction in the MASLD population, with a c-index increase of 7.5-9.6% and a 10-year AUC increase of 5.8-9.2% compared to SCORE2. These findings may offer new insights for risk stratification and potential therapeutic targets for ASCVD in MASLD patients.

Indexed as

AtherosclerosisFatty LiverPeripheral Arterial DiseaseProteomicsStrokeAdultAgedBiomarkersFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedPredictive Value of TestsPrognosisRisk AssessmentBiomarkersASCVDMASLDMediation analysisMendelian randomizationPrediction modelProteomic

Identifiers

PMID41392280
PMCPMC12822008

What OpenQuestion 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 OpenQuestion graph.