Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.

doi:10.3389/fpsyt.2022.881241

科研成果详情

题名	Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.
作者	Shen, Zhongxia 1,2; Cui, Lijun 1; Mou, Shaoqi3; Ren, Lie 1; Yuan, Yonggui 4; Shen, Xinhua 2; Li, Gang 5,6
发表日期	2022-06-22
发表期刊	Frontiers in psychiatry 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Generalized Anxiety Disorder (GAD) S100B cytokines machine learning neuro-inflammatory biomarkers
其他关键词	S100B-IMMUNOPOSITIVE ASTROCYTES ; MENTAL-DISORDERS ; MOOD DISORDERS ; PREVALENCE ; ENVIRONMENT ; STRESS ; CHINA ; HIPPOCAMPAL ; DEPRESSION ; PATHOLOGY
摘要	S100 calcium-binding protein B (S100B) is a neurotrophic factor that regulates neuronal growth and plasticity by activating astrocytes and microglia through the production of cytokines involved in Generalized Anxiety Disorder (GAD). However, few studies have combined S100B and cytokines to explore their role as neuro-inflammatory biomarkers in GAD., Serum S100B and cytokines (IL-1β, IL-2, IL-4, and IL-10) of 108 untreated GAD cases and 123 healthy controls (HC) were determined by enzyme-linked immunosorbent assay (ELISA), while Hamilton Anxiety Rating Scale (HAMA) scores and Hamilton Depression Rating Scale (HAMD) scores were measured to evaluate anxiety and depression severity. This was used to help physicians identify persons having GAD. Machine learning techniques were applied for feature ordering of cytokines and S100B and the classification of persons with GAD and HC., {AbstractText=The serum S100B, IL-1β, and IL-2 levels of GAD cases were significantly lower than HC (P < 0.001), and the IL-4 level in persons with GAD was significantly higher than HC (P < 0.001). At the same time, IL-10 had no significant difference between the two groups (P = 0.215). The feature ranking distinguishing GAD from HC using machine learning ranked the features in the following order: IL-2, IL-1β, IL-4, S100B, and IL-10. The accuracy of S100B combined with IL-1β, IL-2, IL-4, and IL-10 in distinguishing persons with GAD from HC was 94.47 ± 2.06% using an integrated back propagation neural network based on a bagging algorithm (BPNN-Bagging).}, 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.
资助项目	Huzhou Public Welfare Research Project Social Development (Key Medical and Health) Category [2018GZ39]; Huzhou Public Welfare Research Project Social Development Category [2018GYB49]; Social Development Project of Public Welfare Technology Application in Zhejiang Province in 2019 [LGF19H090003, LGF19H090002]
出版者	FRONTIERS MEDIA SA
出版地	LAUSANNE
ISSN	1664-0640
卷号	13 页码:881241
DOI	10.3389/fpsyt.2022.881241
页数	8
WOS类目	Psychiatry
WOS研究方向	Psychiatry
WOS记录号	WOS:000887919500001
收录类别	PUBMED ; SCIE ; SCOPUS ; SSCI
URL	查看原文
PubMed ID	35815053
SCOPUSEID	2-s2.0-85133718352
社科自定义期刊分类	E类
通讯作者地址	[Shen, Xinhua]Department of Neurosis and Psychosomatic Diseases,Huzhou Third Municipal Hospital,The Affiliated Hospital of Huzhou University,Huzhou,China ; [Yuan, Yonggui]Department of Psychiatry,Affiliated ZhongDa Hospital of Southeast University,Nanjing,China
Scopus学科分类	Psychiatry and Mental Health
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/155335
专题	精神医学学院_精神医学系第一临床医学院（信息与工程学院）、附属第一医院_精神病与精神卫生学
通讯作者	Yuan, Yonggui; Shen, Xinhua
作者单位	1.School of Medicine,Southeast University,Nanjing,China; 2.Department of Neurosis and Psychosomatic Diseases,Huzhou Third Municipal Hospital,The Affiliated Hospital of Huzhou University,Huzhou,China; 3.Department of Psychiatry,Wenzhou Medical University,Wenzhou,China; 4.Department of Psychiatry,Affiliated ZhongDa Hospital of Southeast University,Nanjing,China; 5.College of Engineering,Zhejiang Normal University,Zhejiang,China; 6.Key Laboratory for Biomedical Engineering of Ministry of Education,Department of Biomedical Engineering,Zhejiang University,Zhejiang,China
推荐引用方式 GB/T 7714	Shen, Zhongxia,Cui, Lijun,Mou, Shaoqi,et al. Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.[J]. Frontiers in psychiatry,2022,13:881241.
APA	Shen, Zhongxia., Cui, Lijun., Mou, Shaoqi., Ren, Lie., Yuan, Yonggui., ... & Li, Gang. (2022). Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.. Frontiers in psychiatry, 13, 881241.
MLA	Shen, Zhongxia,et al."Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.".Frontiers in psychiatry 13(2022):881241.