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Peripheral non-enzymatic antioxidants as biomarkers for mood disorders

Evidence from a machine learning prediction model

Bibliographic Data

ID15519239
AuthorsYuandong Gong (Shandong Mental Health Center), Zhe Lu (0000-0003-1837-8493, Peking University Sixth Hospital), Zhewei Kang (Peking University Sixth Hospital), Xiaoyang Feng (0000-0003-1065-8597, Peking University), Yuyanan Zhang (0000-0002-0474-1135, Peking University), Yaoyao Sun (0000-0001-8096-3568, Peking University), Wei‐Min Chen (0000-0002-0292-7841, Shandong University), Weimin Chen (0000-0002-6405-9509), Guanglei Xun (0000-0001-8024-8046, Shandong University, corresponding author), Weihua Yue (0000-0002-1201-8465, Peking University Sixth Hospital, corresponding author)
Year2022
Volume13
Pages1019618-1019618
Publication date2022-11-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.1019618
PMID36419979
OpenAlexW4308461018
LanguageEN
References cited46

Peripheral non-enzymatic antioxidants, especially the UA, might be a potential biomarker capable of distinguishing between BD and MDD

Anxiety · Biomarker · Bipolar disorder · Cohort · Logistic regression · Major depressive disorder · Mood · Mood disorders · Psychiatry · Uric acid · Bipolar Disorder and Treatment · Chemistry · Electrolyte and hormonal disorders · Medicine · Tryptophan and brain disorders · Biochemistry · Internal Medicine

  • Prevalence of mental disorders in China

    Open Access•Yueqin Huang, Yu Wang et al.•The Lancet Psychiatry•2019

Citation velocityhistorical
Highly citedNo

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