Evidence map›Paper›PMID 39791104›Full record

ArticleJACC. Advances2025

Choline Metabolites, Genetic Susceptibility, and Incident Heart Failure.

Jie Li, Jiang Li, Ying Sun, Yanqi Fu, Xiao Tan, Ningjian Wang, Yingli Lu, Bin Wang

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jie LiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiang LiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying SunInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanqi FuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao TanDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bin WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about the associations between choline metabolites (total choline, phosphatidylcholine, and glycine) and the incidence of heart failure (HF). Objectives: The purpose of this study was to assess the associations of choline metabolites with incident HF and examine the effect modification by genetic susceptibility. Methods: This prospective cohort study followed 245,072 participants from the UK Biobank from baseline (2006-2010) until March 30, 2023. Participants were free of cardiovascular diseases at baseline. Circulating choline metabolites were quantitated using nuclear magnetic resonance spectrometer. Cox proportional hazards models were fitted to assess the association of choline metabolites and genetics with incident HF. Two-sample Mendelian randomization analyses were implemented to confirm the findings in observational analysis. Results: During a median follow-up of 14.1 years, 5,468 incident HF cases were documented. Total choline and phosphatidylcholine were positively associated with HF risk (HR: 1.08 [95% CI: 1.04-1.12] and HR: 1.08 [95% CI: 1.05-1.12], per one SD increase, respectively). Compared with the lowest quartile group, the HR for the highest quartile group was 1.23 (95% CI: 1.12-1.35) for total choline and 1.23 (95% CI: 1.12-1.34) for phosphatidylcholine. Glycine was inversely associated with HF risk (HR: 0.97 [95% CI: 0.94-0.99], per one SD increase). Participants with high polygenic risk score and high total choline or phosphatidylcholine had the highest risk of HF, whereas participants with low polygenic risk score and high glycine had the lowest risk. No statistically significant interactions were observed between choline metabolites and genetic susceptibility to HF. The Mendelian randomization analysis supported the potential causal associations of total choline (OR: 1.71 [95% CI: 1.01-1.35]) and glycine (OR: 0.93 [95% CI: 0.88-0.99]) with HF. Conclusions: Circulating choline metabolites were associated with the risk of incident HF, independent of genetic susceptibility. Whether targeting the metabolic pathway of choline might be a potential strategy for improving heart health warrants further validation.

Indexed as

choline metabolismgenetic riskheart failureMendelian randomizationprospective cohort

Identifiers

PMID39791104
PMCPMC11714414

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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.