Evidence map›Paper›PMID 38705886›Full record

ArticleScientific reports2024

Study on plasma metabolomics profiling of depression in Chinese community-dwelling older adults based on untargeted LC/GC‒MS.

Jiangling Guo, Peipei Han, Yaqing Zheng, Yahui Wu, Kai Zheng, Chuanjun Huang, Yue Wang, Cheng Chen, Yiqiong Qi, Xiaoyu Chen and 3 more

Abstract read
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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

13 authors.

Jiangling Guo *Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Peipei Han *Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Yaqing Zheng *Fujian Provincial Hospital, Fujian, China.
Yahui WuDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Kai ZhengDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Chuanjun HuangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Yue WangDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Cheng ChenDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Yiqiong QiDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Xiaoyu ChenDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China.
Qiongying TaoJiading Subdistrict Community Health Center, Shanghai, China.
Jiayi ZhaiJiading Subdistrict Community Health Center, Shanghai, China.
Qi GuoDepartment of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 279 Zhouzhu Highway, Pudong New Area, Shanghai, 201318, China. guoqijp@gmail.com.ORCID 0000-0002-0193-4388

Funding

Capacity Building project of Local Colleges of Shanghai Science and Technology Commission 23010502800Shanghai Municipal Health Commission 202240367Shanghai Municipal Health Commission GWVI-11.2-YQ08
6 · The paper itself

Abstract

Depression is a serious psychiatric illness that causes great inconvenience to the lives of elderly individuals. However, the diagnosis of depression is somewhat subjective. Nontargeted gas chromatography (GC)/liquid chromatography (LC)-mass spectrometry (MS) was used to study the plasma metabolic profile and identify objective markers for depression and metabolic pathway variation. We recruited 379 Chinese community-dwelling individuals aged ≥ 65. Plasma samples were collected and detected by GC/LC‒MS. Orthogonal partial least squares discriminant analysis and a heatmap were utilized to distinguish the metabolites. Receiver operating characteristic curves were constructed to evaluate the diagnostic value of these differential metabolites. Additionally, metabolic pathway enrichment was performed to reveal metabolic pathway variation. According to our standard, 49 people were included in the depression cohort (DC), and 49 people age- and sex-matched individuals were included in the non-depression cohort (NDC). 64 metabolites identified via GC‒MS and 73 metabolites identified via LC‒MS had significant contributions to the differentiation between the DC and NDC, with VIP values > 1 and p values < 0.05. Three substances were detected by both methods: hypoxanthine, phytosphingosine, and xanthine. Furthermore, 1-(sn-glycero-3-phospho)-1D-myo-inositol had the largest area under the curve (AUC) value (AUC = 0.842). The purine metabolic pathway is the most important change in metabolic pathways. These findings show that there were differences in plasma metabolites between the depression cohort and the non-depression cohort. These identified differential metabolites may be markers of depression and can be used to study the changes in depression metabolic pathways.

Indexed as

DepressionMetabolomicsAgedAged, 80 and overBiomarkersChinaChromatography, LiquidEast Asian PeopleFemaleGas Chromatography-Mass SpectrometryHumansMaleMetabolic Networks and PathwaysMetabolomeROC CurveBiomarkersDepressionGC/LC‒MSMetabolic pathwaysNontargeted metabolomicsReceiver operating characteristic curve

Identifiers

PMID38705886
PMCPMC11070417

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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.