Evidence map›Paper›PMID 41299340›Full record

ArticleBMC psychiatry2025

Serum lipid metabolic characteristics and potential biomarkers in first-episode schizophrenia.

Suzhen Zhang, Mengyi Luo, Xinping Kuai, Xuan Li, Tianhao Gao, Yuke Dong, Chang Lu, Kaiming Zhuo, Qiong Xiang, Dengtang Liu

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Suzhen ZhangDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Mengyi LuoDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Xinping KuaiDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Xuan LiDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Tianhao GaoDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Yuke DongDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Chang LuDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Kaiming ZhuoDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Qiong XiangDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China.
Dengtang LiuDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. liudengtang@smhc.org.cn.

Funding

Key Program of SMHC Clinical Research Center CRC2017ZD03Medical innovation research project of science and technology innovation action of Shanghai Science and Technology Commission 22Y11903400Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University YG2024QNA55National Natural Science Foundation of China 82171496Shanghai Municipal Health Commission 2022JC009
6 · The paper itself

Abstract

backgroundLipids play a vital role in health and disease, but changes to their circulating levels and the link with schizophrenia remains poorly characterized. This study aimed to investigate the pathological lipid profiles in patients with first-episode schizophrenia (FES) and explore potential biomarkers for the early identification of FES.

methodsThis study recruited 99 drug-naive FES patients and 60 healthy controls (HC). Serum samples were analyzed using an absolute quantitative lipidomics with ultra-high performance liquid chromatography. Psychiatric symptoms were assessed using Positive and Negative Syndrome Scale (PANSS) scale. Data were analyzed with regression analysis and XGBoost-based machine learning to develop biomarkers and classification of FES.

resultsIn FES patients, 33 lipid metabolites exhibited significantly altered levels independent of BMI, age, and sex. A predictive model was constructed using 14 lipid metabolites to accurately distinguish individuals with FES from healthy controls, achieving an area under the receiver operating characteristic curve (AUC) of 0.967, F1 score of 0.918, an accuracy of 0.894, a specificity of 0.824, and a recall of 0.933. Bioinformatic analyses indicated changes in serum lipids co-expression correlated with disease state.

conclusionOur findings indicate dysregulated lipids implicated in the pathogenesis of schizophrenia and suggest potential lipid biomarkers may serve as indicators for the differential diagnosis of schizophrenia.

Indexed as

Lipid MetabolismLipidsSchizophreniaAdolescentAdultBiomarkersCase-Control StudiesFemaleHumansLipidomicsMachine LearningMaleYoung AdultBiomarkersLipidsBiomarkerDiagnosisLipidMachine learningSchizophrenia

Identifiers

PMID41299340
PMCPMC12659536

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.