Evidence map›Paper›PMID 39673021›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Causal relationships between Alzheimer's disease and metabolic dysfunction associated with fatty liver disease: insights from bidirectional network Mendelian Randomization analysis.

Lei Liu, Ming Zhou, Yuanyuan Zhang, Yang Chen, Huiru Wang, Yuan Cao, Chao Fang, Xiaoju Wan, Xiaochen Wang, Huilan Liu and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. 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

11 authors.

Lei Liu *Department of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Ming Zhou *Department of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Yuanyuan ZhangDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Yang ChenDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Huiru WangDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Yuan CaoDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Chao FangDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Xiaoju WanDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Xiaochen WangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China.
Huilan LiuDepartment of Transfusion, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, China. 1016356176@qq.com.
Peng WangDepartment of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China. robertowang@ahmu.edu.cn.

Funding

National Natural Science Foundation of China 81903637the USTC Research Funds of Double First-Class Initiative WK9110000175the USTC Research Funds of Double First-Class Initiative YD9110002033
6 · The paper itself

Abstract

INTRODUCTION/

objectivesSeveral observational investigations have observed the possible links between Alzheimer's disease (AD) and metabolic dysfunction associated with fatty liver disease (MAFLD), yet the underlying causal relationships remain undetermined. This study aimed to systemically infer the causal associations between AD and MAFLD by employing a bidirectional network two-sample Mendelian randomization (MR) analysis.

methodsGenome-wide significant (P < 5 × 10

resultsIn the forward MR analysis, the genetically determined family history of AD was associated with a lower risk of MAFLD (mother's history: OR

conclusionOur study demonstrates a causal association between a family history of AD and a lower risk of MAFLD. It suggests that individuals with a history of AD may benefit from tailored metabolic assessments to better understand their risk of MAFLD, and inform the development of preventive strategies targeting high-risk populations.

Indexed as

Alzheimer DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisFatty LiverGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideAlzheimer’s diseaseCausalityMendelian randomizationMetabolic dysfunction associated with fatty liver disease

Identifiers

PMID39673021

What Socratic holds

Textmetadata
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.