Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder

A Proof-of-Concept Study Based on Machine Learning

Bibliographic Data

ID15524980
AuthorsZhongxia Shen (0000-0003-3858-4665, Southeast University), Lijun Cui (0000-0003-4167-7336, Southeast University), Shaoqi Mou (Wenzhou Medical University), Lie Ren (Southeast University), Yonggui Yuan (0000-0001-6496-3998, Zhongda Hospital Southeast University, corresponding author), Xinhua Shen (Huzhou University, corresponding author), Gang Li (0000-0002-9858-5232, Zhejiang University)
Year2022
Volume13
Pages881241-881241
Publication date2022-06-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.881241
PMID35815053
OpenAlexW4283273093
LanguageEN
Citations received1
References cited38

The serum S-100B, IL-1β, and IL-2 levels in persons with GAD were down-regulated while IL-4 was up-regulated. The combination of S100B and cytokines had a good diagnosis value in determining GAD with an accuracy of 94.47%. Machine learning was a very effective method to study neuro-inflammatory biomarkers interacting with each other and mediated by plenty of factors

Anxiety · Depression (economics · Developmental psychology · Generalized anxiety disorder · Hamd · Hamilton Anxiety Rating Scale · Inflammation · Proinflammatory cytokine · Psychiatry · Rating scale · Clinical Psychology · Fibromyalgia and Chronic Fatigue Syndrome Research · Medicine · Psychology · S100 Proteins and Annexins · Stress Responses and Cortisol · Immunology · Internal Medicine

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Open DOIOpen Access