Evidence map›Paper›PMID 33159208›Full record

ArticleSchizophrenia bulletin2021

Metabolomic Identification of Exosome-Derived Biomarkers for Schizophrenia: A Large Multicenter Study.

Yang Du, Lei Chen, Xue-Song Li, Xiao-Lin Li, Xiang-Dong Xu, Shao-Bin Tai, Geng-Lin Yang, Quan Tang, Hua Liu, Shu-Han Liu and 2 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Yang DuKey Laboratory of Ethnomedicine of Ministry of Education, Center on Translational Neuroscience, School of Pharmacy, Minzu University of China, Beijing, China.
Lei ChenCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Xue-Song LiDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China.
Xiao-Lin LiDepartment of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China.
Xiang-Dong XuDepartment of Psychiatry, Urumqi Fourth People's Hospital, Urumqi, Xinjiang, China.
Shao-Bin TaiDepartment of Psychiatry, Huangshan Second People's Hospital, Huangshan, An Hui, China.
Geng-Lin YangDepartment of Psychiatry, Urumqi Fourth People's Hospital, Urumqi, Xinjiang, China.
Quan TangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Hua LiuKey Laboratory of Ethnomedicine of Ministry of Education, Center on Translational Neuroscience, School of Pharmacy, Minzu University of China, Beijing, China.
Shu-Han LiuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Shu-Yao ZhangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Yong ChengKey Laboratory of Ethnomedicine of Ministry of Education, Center on Translational Neuroscience, School of Pharmacy, Minzu University of China, Beijing, China.
Minzu University of China · CNFirst People's Hospital of Foshan · CNUrumqi 4th People's Hospital · CNHuangshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes have been suggested as promising targets for the diagnosis and treatment of neurological diseases, including schizophrenia (SCZ), but the potential role of exosome-derived metabolites in these diseases was rarely studied. Using ultra-performance liquid chromatography-tandem mass spectrometry, we performed the first metabolomic study of serum-derived exosomes from patients with SCZ. Our sample comprised 385 patients and 332 healthy controls recruited from 3 clinical centers and 4 independent cohorts. We identified 25 perturbed metabolites in patients that can be used to classify samples from patients and control participants with 95.7% accuracy (95% CI: 92.6%-98.9%) in the training samples (78 patients and 66 controls). These metabolites also showed good to excellent performance in differentiating between patients and controls in the 3 test sets of participants, with accuracies 91.0% (95% CI: 85.7%-96.3%; 107 patients and 62 controls), 82.7% (95% CI: 77.6%-87.9%; 104 patients and 142 controls), and 99.0% (95% CI: 97.7%-100%; 96 patients and 62 controls), respectively. Bioinformatic analysis suggested that these metabolites were enriched in pathways implicated in SCZ, such as glycerophospholipid metabolism. Taken together, our findings support a role for exosomal metabolite dysregulation in the pathophysiology of SCZ and indicate a strong potential for exosome-derived metabolites to inform the diagnosis of SCZ.

Indexed as

AdultBiomarkersChromatography, LiquidExosomesFemaleHumansMaleMetabolomeMetabolomicsSchizophreniaSensitivity and SpecificityTandem Mass SpectrometryBiomarkersbiomarkerexosomemetabolomicsschizophrenia

Identifiers

PMID33159208
PMCPMC8084447
OpenAlexW3095983485

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.