Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression-Reference-Cited by-同舟云学术

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Using Data-Driven Algorithms with Large-Scale Plasma Proteomic Data to Discover Novel Biomarkers for Diagnosing Depression

Published:2024-08-16 Issue:9 Volume:23 Page:4043-4054
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Ma Simeng¹^ORCID,Li Ruiling¹,Gong Qian¹,Lv Honggang¹,Deng Zipeng¹,Wang Beibei¹,Yao Lihua¹,Kang Lijun¹,Xiang Dan¹,Yang Jun²,Liu Zhongchun¹³

Affiliation:

1. Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China

2. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China

3. Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.4c00389

Reference63 articles.

1. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Candidate biomarkers in psychiatric disorders: state of the field

3. Revisiting biomarker discovery by plasma proteomics

4. Molecular biomarkers of depression

5. Biological Diagnosis of Depression: A Biomarker Panel from Several Nonspecial Indicators Instead of the Specific Biomarker(s)

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