Evidence map›Paper›PMID 39732876›Full record

ArticleScientific reports2024

Plasma metabolomics profiles indicate sex differences of lipid metabolism in patients with Parkinson's disease.

Ling Hu, Yuan-Jun Huang, You-Dong Wei, Tao Li, Wei Ke, Guang-Hui Chen, Mei-Xue Dong

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Ling HuDepartment of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yuan-Jun HuangThe First Branch, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
You-Dong WeiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Tao LiDepartment of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Wei KeDepartment of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Guang-Hui ChenDepartment of Pharmacy, Hubei General Hospital, Renmin Hospital of Wuhan University, No.238 Jiefang Road, Wuchang District, Wuhan, 430060, Hubei, China. chen_guanghui@whu.edu.cn.
Mei-Xue DongDepartment of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, Hubei, China. dong_meixue@whu.edu.cn.

Funding

National Natural Science Fund of China 82104312The Open Fund of Hubei Key Laboratory of Renmin Hospital of Wuhan University 2021KFY040
6 · The paper itself

Abstract

The effect of sexual dimorphism on the metabolism of patients with Parkinson's disease has not been clarified. A group of patients with Parkinson's disease and healthy controls were recruited, and their clinical characteristics and plasma were collected. Untargeted liquid chromatography-mass spectrometry-based plasma metabolomics profiling was performed. Differentially expressed metabolites between patients and healthy controls were respectively identified in the male and female participants and metabolite set enrichment analyses were further employed. A total of 75 patients with Parkinson's disease (37 males and 38 females) and 31 healthy controls (16 males and 15 females) were enrolled while no significant differences can be discovered in clinical characteristics. The constructed male-specific metabolic model from orthogonal partial least squares-discriminant analysis can't well recognize female patients and the female-specific model also can't accurately identify male patients. There were 55 differentially expressed metabolites in the male participants, and fatty acids and conjugates and eicosanoids were the significantly enriched metabolite sets. Meanwhile, 86 metabolites were differentially expressed in the female participants while fatty acids and conjugates and glycerophosphocholines were enriched. Only 17 metabolites were simultaneously changed in both male and female patients. Significant sex differences of lipid metabolism were found in patients with Parkinson's disease.

Indexed as

Lipid MetabolismMetabolomicsParkinson DiseaseSex CharacteristicsAgedBiomarkersCase-Control StudiesChromatography, LiquidFemaleHumansMaleMetabolomeMiddle AgedSex FactorsBiomarkersEicosanoidsFatty acids and conjugatesGlycerophosphocholinesMetabolomics analysisParkinson’s diseaseSex difference

Identifiers

PMID39732876
PMCPMC11682129

What Socratic holds

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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 Socratic graph.