Evidence map›Paper›PMID 39086751›Full record

ArticleWorld journal of gastroenterology2024

Targeted metabolomics study of fatty-acid metabolism in lean metabolic-associated fatty liver disease patients.

Pei-Qi Sun, Wen-Min Dong, Yi-Fu Yuan, Qin Cao, Xiao-Yan Chen, Li-Li Guo, Yuan-Ye Jiang

Abstract read
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Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Undernutrition-related diabetes in mice is linked to early undernutrition.American journal of physiology. Endocrinology and metabolism · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pei-Qi SunDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Wen-Min DongDepartment of Pharmacy, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China.
Yi-Fu YuanDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Qin CaoDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Xiao-Yan ChenDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Li-Li GuoCentral Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
Yuan-Ye JiangDepartment of Gastroenterology, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China. yuanye1014@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe annual incidence of metabolic-associated fatty liver disease (MAFLD) in China has been increasing and is often overlooked owing to its insidious characteristics. Approximately 50% of the patients have a normal weight or are not obese. They are said to have lean-type MAFLD, and few studies of such patients are available. Because MAFLD is associated with abnormal lipid metabolism, lipid-targeted metabolomics was used in this study to provide experimental evidence for early diagnosis and pathogenesis.

aimTo investigate the serum fatty-acid metabolic characteristics in lean-type MAFLD patients using targeted serum metabolomic technology.

methodsBetween January and June 2022, serum samples were collected from MAFLD patients and healthy individuals who were treated at Shanghai Putuo District Central Hospital for serum metabolomics analysis. Principal component analysis and orthogonal partial least squares-discriminant analysis models were developed, and univariate analysis was used to screen for biomarkers of lean-type MAFLD and analyze metabolic pathways. UPLC-Q-Orbitrap/MS content determination was used to determine serum palmitic acid (PA), oleic acid (OA), linoleic acid (LA), and arachidonic acid (AA) levels in lean-type MAFLD patients.

resultsUrea nitrogen and uric acid levels were higher in lean-type MAFLD patients than in healthy individuals (

conclusionThe metabolic profiles of lean-type MAFLD patients and healthy participants differed significantly, yielding 65 identified biomarkers. PA, OA, LA, and AA exhibited the most significant changes, offering valuable clinical guidance for prevention and treatment of lean-type MAFLD.

Indexed as

BiomarkersFatty AcidsMetabolomicsNon-alcoholic Fatty Liver DiseaseAdultCase-Control StudiesChinaFemaleHumansLipid MetabolismMaleMiddle AgedThinnessBiomarkersFatty AcidsFatty acidsLean-type metabolic-associated fatty liver diseaseOrthogonal partial least squares-discriminant analysisPrincipal component analysisTargeted serum metabolomics

Identifiers

PMID39086751
PMCPMC11287418

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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.