Evidence map›Paper›PMID 40052234›Full record

ArticleJournal of diabetes investigation2025

Revisiting the causal impact of lipid traits on metabolic dysfunction-associated fatty liver disease: Insights from a multidimensional plasma lipid profile.

Fang Xie, Wenkai Zheng, Jing Chen, Chuanxia Yao, Cong Li, Li Tang, Ping Li, Shanzhong Tan

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 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. From metabolic dysregulation to malignancy: the presence ofJournal of gastrointestinal oncology · 2026
    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.

Fang XieDepartment of Integrated TCM and Western Medicine, Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Wenkai ZhengDepartment of Liver Disease, Jinling Hospital Affiliated to Medical College of Nanjing University, Nanjing, Jiangsu Province, China.
Jing ChenDepartment of Integrated TCM and Western Medicine, Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Chuanxia YaoDepartment of Liver Disease, Jinling Hospital Affiliated to Medical College of Nanjing University, Nanjing, Jiangsu Province, China.
Cong LiDepartment of Liver Disease, Jinling Hospital Affiliated to Medical College of Nanjing University, Nanjing, Jiangsu Province, China.
Li TangDepartment of Gastroenterology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.
Ping LiDepartment of Liver Disease, Jinling Hospital Affiliated to Medical College of Nanjing University, Nanjing, Jiangsu Province, China.
Shanzhong TanDepartment of Integrated TCM and Western Medicine, Nanjing Hospital Affiliated to Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0002-5917-4772

Funding

Leading Talent Project of Jiangsu Province Traditional Chinese Medicine SLJ0216Nanjing Health Science and Technology Development Project ZKX21058Science and Technology Innovation Research Program of Jinling Hospital 2023JCYJZD078
6 · The paper itself

Abstract

aimsRecent advancements in plasma lipidomes genome-wide association studies data have enhanced our understanding of lipid categories, significantly improving risk assessments for metabolic dysfunction-associated fatty liver disease (MAFLD) beyond traditional lipid biomarkers. MATERIALS AND

methodsThis study utilized Mendelian randomization (MR) to assess the causal relationships between 179 lipid species across 13 subclasses and MAFLD, primarily using the Wald ratio and IVW methods. Corrections were made using false discovery rate (FDR), supplemented by Bayesian colocalization analysis.

resultsElevated levels of genetically predicted phosphatidylcholine (16:0_16:1) [OR

conclusionThe study confirmed the significant role of specific lipid molecules in influencing MAFLD risk, providing new scientific bases and potential therapeutic targets for future treatment strategies.

Indexed as

BiomarkersLipidsNon-alcoholic Fatty Liver DiseaseGenome-Wide Association StudyHumansLipid MetabolismMendelian Randomization AnalysisPolymorphism, Single NucleotideBiomarkersLipidsCausal associationMendelian randomizationMetabolic dysfunction‐associated fatty liver disease

Identifiers

PMID40052234
PMCPMC12057391

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.