Evidence map›Paper›PMID 36944918›Full record

ArticleBMC geriatrics2023

Liquid chromatography-mass spectrometry-based metabolomic profiling reveals sex differences of lipid metabolism among the elderly from Southwest China.

Yuan-Jun Huang, Wei Ke, Ling Hu, You-Dong Wei, Mei-Xue Dong

Open access · goldFull text read
In one paragraph

Article in BMC geriatrics, 2023. 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
0.5field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
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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

5 authors at 4 institutions in 1 country.

Yuan-Jun HuangThe First Branch, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 430060, China.
Wei KeDepartment of Neurology, Renmin Hospital of Wuhan University, Hubei General Hospital, No.238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
Ling HuDepartment of Neurology, Renmin Hospital of Wuhan University, Hubei General Hospital, No.238 Jiefang Road, Wuchang District, Wuhan, Hubei, China.
You-Dong WeiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. youdongwei1966@163.com.
Mei-Xue DongDepartment of Neurology, Renmin Hospital of Wuhan University, Hubei General Hospital, No.238 Jiefang Road, Wuchang District, Wuhan, Hubei, China. dong_meixue@whu.edu.cn.
Wuhan University · CNChongqing Medical University · CNRenmin Hospital of Wuhan University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sexual dimorphism represents one of the triggers of the metabolic disparities while the identification of sex-specific metabolites in the elderly has not been achieved.

methodsA group of aged healthy population from Southwest China were recruited and clinical characteristics were collected. Fasting plasma samples were obtained and untargeted liquid chromatography-mass spectrometry-based metabolomic analyses were performed. Differentially expressed metabolites between males and females were identified from the metabolomic analysis and metabolite sets enrichment analysis was employed.

resultsSixteen males and fifteen females were finally enrolled. According to clinical characteristics, no significant differences can be found except for smoking history. There were thirty-six differentially expressed metabolites between different sexes, most of which were lipids and lipid-like molecules. Twenty-three metabolites of males were increased while thirteen were decreased compared with females. The top four classes of metabolites were fatty acids and conjugates (30.6%), glycerophosphocholines (22.2%), sphingomyelins (11.1%), and flavonoids (8.3%). Fatty acids and conjugates, glycerophosphocholines, and sphingomyelins were significantly enriched in metabolite sets enrichment analysis.

conclusionsSignificant lipid metabolic differences were found between males and females among the elderly. Fatty acids and conjugates, glycerophosphocholines, and sphingomyelins may partly account for sex differences and can be potential treatment targets for sex-specific diseases.

Indexed as

Lipid MetabolismSex CharacteristicsAgedChromatography, LiquidFatty AcidsFemaleHumansMaleMass SpectrometrySphingomyelinsFatty AcidsSphingomyelinsLipid metabolismMetabolite sets enrichment analysisMetabolomic analysisSex differenceThe elderly

Identifiers

PMID36944918
PMCPMC10031952
OpenAlexW4353015333

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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.