Evidence map›Paper›PMID 33391044›Full record

ArticleFrontiers in psychiatry2020

Metabolic Profiling in Bipolar Disorder Patients During Depressive Episodes.

Yan Ren, Shuang Bao, Yuan Jia, Xiao-Li Sun, Xiang-Xin Cao, Xiao-Ying Bai, Jun-Sheng Tian, Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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  3. Biomarkers of bipolar disorder in omics and neuroimaging.Journal of pharmaceutical analysis · 2025
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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 at 2 institutions in 1 country.

Yan RenDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Shuang BaoDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Yuan JiaBiotherapy Lab, Shanxi Bethune Hospital, Taiyuan, China.
Xiao-Li SunDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Xiang-Xin CaoDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Xiao-Ying BaiDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Jun-Sheng TianModern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan, China.
Hong YangDepartment of Psychiatry, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Taiyuan, China.
Shanxi Academy of Medical Sciences · CNShanxi University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) is a common and debilitating mental disorder. Bipolar depression is the main episode of BD. Furthermore, there are no objective biomarkers available for diagnosing the disorder. In this research, a Nuclear Magnetic Resonance (NMR) spectroscopy based on a metabonomics technique was used to analyze serum samples from 37 patients with bipolar depression and 48 healthy control participants to determine potential biomarkers for bipolar depression. In total, seven different metabolites were identified that could effectively distinguish patients from healthy controls. The metabolites indicated that disturbances of amino acid and energy metabolisms might be involved in the pathogenesis of BD. Finally, a panel consisting of four potential biomarkers (lactate, trimethylamine oxide, N-acetyl glycoprotein, and α-glucose) was identified, which showed a higher combined diagnostic ability with an area under the curve of 0.893. Our findings may contribute to the development of an objective method for diagnosing bipolar depression.

Indexed as

biomarkerbipolar depressionbipolar disordermetabonomicsnuclear magnetic resonance

Identifiers

PMID33391044
PMCPMC7772141
OpenAlexW3112179257

What OpenQuestion holds

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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 OpenQuestion graph.