Evidence map›Paper›PMID 40597055›Full record

ArticleBMC psychiatry2025

Plasma Lyso-PE 22:6 and Lyso-PE 20:4 are associated with development of mild to moderate depression revealed by metabolomics: a pilot study.

Jingbo Yu, Haixia He, Xianyang Chen, Yue Han, Yige Song, Lei Wang, Hongqing Zhao, Yuhong Wang

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jingbo YuScience&Technology Innovation Center/National Key Laboratory Cultivation Base of Chinese Medicinal Powders & Innovative Medicinal Jiontly Established by Province and Ministry, Hunan Key Laboratory of Traditional Chinses Medicine (TCM) Prevention & Treatment of Depression Disease, Hunan University of Chinese Medicine, Xueshi Road 300, Hanpu Science and Education Park, Yuelu Distirct, Changsha, 410208, China.
Haixia HeThe First Affiliated Hospital, Hunan University of Chinese Medicine, Changsha, 410007, China.
Xianyang ChenZhongguancun Biological and Medical Big Data Center, Beijing, 101300, China.
Yue HanSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, China.
Yige SongZhongguancun Biological and Medical Big Data Center, Beijing, 101300, China.
Lei WangZhongguancun Biological and Medical Big Data Center, Beijing, 101300, China.
Hongqing ZhaoScience&Technology Innovation Center/National Key Laboratory Cultivation Base of Chinese Medicinal Powders & Innovative Medicinal Jiontly Established by Province and Ministry, Hunan Key Laboratory of Traditional Chinses Medicine (TCM) Prevention & Treatment of Depression Disease, Hunan University of Chinese Medicine, Xueshi Road 300, Hanpu Science and Education Park, Yuelu Distirct, Changsha, 410208, China.
Yuhong WangScience&Technology Innovation Center/National Key Laboratory Cultivation Base of Chinese Medicinal Powders & Innovative Medicinal Jiontly Established by Province and Ministry, Hunan Key Laboratory of Traditional Chinses Medicine (TCM) Prevention & Treatment of Depression Disease, Hunan University of Chinese Medicine, Xueshi Road 300, Hanpu Science and Education Park, Yuelu Distirct, Changsha, 410208, China. wyh107@hnucm.edu.cn.

Funding

National Natural Science Foundation of China 82204613Natural Science Foundation of Hunan Province 2021JJ40410Open-Ended Science Foundation of the National First-class Discipline Construction Project of Chinese Medicine of Hunan University of Chinese Medicine 2020ZYX06Open-Ended Science Foundation of the National First-class Discipline Construction Project of Chinese Medicine of Hunan University of Chinese Medicine 2021ZYX25Open-Ended Science Foundation of the National Key Laboratory Breeding Base of Chinese Medicine Powders and Innovative Drugs 202008
6 · The paper itself

Abstract

backgroundMild to moderate depression (MMD), as an early stage of depression, has a high incidence and may progress to severe depression, even leading to suicide. The lack of effective screening and treatment is due to the unknown metabolic changes and processes in patients with MMD. Here, we performed metabolite profiling to investigate the key metabolites associated with MMD in plasma.

methodsA high-throughput metabolomics method using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to determine the metabolic profiles of patients with MMD. Metabolic network analysis and machine learning models were used to screen and assess potential biomarkers of MMD.

resultsForty altered metabolites were identified between patients with MMD and healthy controls, which were mainly involved in seven metabolic pathways associated with amino acid and lipid metabolism. A metabolite-target-disease network was constructed to screen six metabolites as potential key metabolites most relevant to the onset of depression. Furthermore, 12 of the 40 metabolites were found to have a strong linear correlation with scores on the Hamilton depression scale. By combining network analysis with linear correlation, we identified lysophosphatidylethanolamine (Lyso-PE) 22:6 and Lyso-PE 20:4 as being associated with the development of depression. These two metabolites showed potential in distinguishing patients with MMD from healthy controls and exhibited different correlations with other key metabolites.

conclusionOur findings suggest that Lyso-PE 22:6 and Lyso-PE 20:4 are associated with the development of depression, indicating their potential use in future screening applications to prevent the progression of depression.

Indexed as

DepressionLysophospholipidsAdultBiomarkersCase-Control StudiesChromatography, High Pressure LiquidFemaleHumansMachine LearningMaleMetabolomicsMiddle AgedPilot ProjectsBiomarkerslysophosphatidylethanolamineLysophospholipidsLyso-PE 20:4Lyso-PE 22:6MetabolomicsMild to moderate depressionPlasma

Identifiers

PMID40597055
PMCPMC12211184

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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.