Evidence map›Paper›PMID 40604143›Full record

Articlenpj metabolic health and disease2025

Longitudinal association of metabolic dysfunction-associated fatty liver disease, serum metabolites, with cognitive function trajectories.

Anxin Wang, Xue Tian, Qiqi Deng, Manqi Zheng, Xue Xia, Yijun Zhang, Yan Tan, Qian Hua

Abstract read
In one paragraph

Article in npj metabolic health and disease, 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. 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

8 authors.

Anxin Wang *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China. wanganxin@bjtth.org.
Xue Tian *Department of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qiqi Deng *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Manqi ZhengDepartment of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xue XiaDepartment of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yijun ZhangDepartment of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yan TanSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China. yantan@bucm.edu.cn.
Qian HuaSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China. huaq@bucm.edu.cn.

Funding

Natural Science Foundation of China U21A20414
6 · The paper itself

Abstract

This study examined the longitudinal association of metabolic dysfunction-associated fatty liver disease (MAFLD) with distinct cognitive function trajectories, and determine whether and to what extent this association was mediated by MAFLD-related metabolites among 845 participants. Two cognitive function trajectories were identified as normal (n = 714, 84.50%) or large decrease (n = 131, 15.50%) pattern over 7 years. Participants with MAFLD (N = 277, 32.78%) had an 81% higher risk of developing a large decrease in cognitive function (odds ratio, 1.81; 95% confidence interval, 1.16-2.94) than non-MAFLD. Three MAFLD-related metabolites were identified as lysoPC(20:3(5z,8z,11z)), lysoPE(18:1(9z)/0:0), and valine, of which lysoPE(18:1(9z)/0:0) and valine played a partially mediated role in the association of MAFLD with a large decrease in cognitive function (mediation proportion = 9.93% and 11.04%, respectively). The results indicated that MAFLD was associated with a higher risk of developing a large decrease in cognitive function, which was partially mediated by lipid and amino acid metabolism.

Identifiers

PMID40604143
PMCPMC12118734

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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.