Evidence map›Paper›PMID 25531985›Full record

ArticlePloS one2014

Sex-specific urinary biomarkers for diagnosing bipolar disorder.

Jian-jun Chen, Hua Huang, Li-bo Zhao, De-zhi Zhou, Yong-tao Yang, Peng Zheng, De-yu Yang, Peng He, Jing-jing Zhou, Liang Fang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025
    Review
  2. Article
  3. Gestational Diabetes Mellitus Changes the Metabolomes of Human Colostrum, Transition Milk and Mature Milk.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
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  13. Urinary Biomarkers of Brain Diseases.Genomics, proteomics & bioinformatics · 2015
    Review
  14. Article
  15. 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

11 authors at 3 institutions in 1 country.

Jian-jun ChenDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Hua HuangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Li-bo ZhaoDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
De-zhi ZhouDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Yong-tao YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Peng ZhengDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
De-yu YangDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Peng HeDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Jing-jing ZhouDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Liang FangDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Peng XieDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Neurobiology, Chongqing, China; Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNChildren's Hospital of Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex-based differences are prominent in affective disorders, but there are no biomarkers available to support sex-specific, laboratory-based diagnostics for male and female bipolar disorder (BD) patients. Here, a NMR-based metabonomic approach was used to preliminarily identify sex-specific urinary metabolite biomarkers for diagnosing male and female BD patients. A male-specific biomarker panel consisting of four metabolites (α-hydroxybutyrate, choline, formate, and N-methylnicotinamide) effectively discriminated between male BD and healthy controls (HC) subjects, achieving an area under the receiver operating characteristic curve (AUC) of 0.942. A female-specific biomarkers panel consisting of four metabolites (α-hydroxybutyrate, oxalacetate, acetone, and N-methylnicotinamide) effectively discriminated between female BD and HC subjects, achieving an AUC of 0.909. The male-specific biomarker panel displayed low discriminatory power in the female group, and the female-specific biomarker panel displayed low discriminatory power in the male group. Moreover, several other metabolites showed different trends between male and female BD subjects. These findings suggest that male and female BD patients have distinct biomarker fingerprints and that these two sex-specific biomarker panels may serve as effective diagnostic tools in distinguishing male and female BD patients from their healthy counterparts. Our work may provide a window into the mechanisms underlying the pathoetiology of BD in both men and women.

Indexed as

AcetoneAdolescentAdultArea Under CurveBiomarkersBipolar DisorderDiscriminant AnalysisFemaleHumansHydroxybutyratesMagnetic Resonance SpectroscopyMaleMetabolomeNiacinamideOxaloacetic AcidROC CurveAcetoneBiomarkersHydroxybutyratesNiacinamideN-methylnicotinamideOxaloacetic Acid

Identifiers

PMID25531985
PMCPMC4274077
OpenAlexW2066433300

What OpenQuestion holds

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LicenceCC BY
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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.