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ORIGINAL RESEARCH article

Front. Psychiatry
Sec. Molecular Psychiatry
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1481006
This article is part of the Research Topic Neuroinflammation and Mood Disorders: Molecular Mechanisms and Therapeutic Implications View all 3 articles

Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study

Provisionally accepted
Jianqing Qiu Jianqing Qiu 1Cheng Yu Cheng Yu 1*Yalan Kuang Yalan Kuang 1Yao Hu Yao Hu 1Ting Zhu Ting Zhu 1*Ke Qin Ke Qin 2*Wei Zhang Wei Zhang 3*
  • 1 West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
  • 2 School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China
  • 3 Mental Health Center, West China Hospital, Sichuan University, Chengdu, China

The final, formatted version of the article will be published soon.

    As the psychiatric illness is thought a brain somatic crosstalk disorder. However, existing phenomenology-based DSM-5 diagnostic framework overlooks other dimensions than symptom. In this study, we investigated the associations between peripheral blood test indexes with various symptom levels of Major Depressive Disorders (MDD), Bipolar Disorders (BD), and schizophrenia (SCZ) for explore the availability of peripheral blood test indexes.We extracted cases diagnosed with MDD, BD, and SCZ at West China Hospital from 2009-2021, translated their main complaints into RDoC symptom severity scores using nature language processing (NLP), and collected their detailed psychiatric symptoms and peripheral blood test results. Then generalized linear models was performed between seven types of peripheral blood test values with their transformed RDoC scores and detailed symptom information adjusted age, gender, smoking and alcohol history.is suggested several inflammatory related indexes were strongly associated with Negative Valence Domain (NVS) (basophil percentage adjusted β 0.275, lymphocyte percentage adjusted β 0.271, monocyte percentage adjusted β 0.223, neutrophil percentage adjusted β -0.310, neutrophil count adjusted β -0.301, glucose adjusted β -0.287, leukocyte count adjusted β -0.244, NLR adjusted β -0.229, and total protein adjusted β -0.170), Positive Valence Domian (PVS) (monocyte percentage adjusted β 0.228, basophil count adjusted β 0.176, and glutamyl transpeptidase adjusted β 0.171), and a wide range of mood, reward and psychomotor symptoms.Also, glucose, urea, urate, cystatin C, and albumin showed considerable associations with multiple symptoms. In addition, based on the direction of associations and the similarity of symptoms in terms of RDoC thinking, it is suggested "positive" mood symptoms like mania, irritability et al. and "negative" mood symptoms like depression, anxiety et al. might be on a continuum considering their opposed relationships with similar blood indexes.The cross-sectional design, limited symptoms record, and high proportion of missing value in some other peripheral blood indexes limited our findings.The proportion of high inflammatory indexes in schizophrenia was relatively high, but in terms of mean values, SCZ, BD and MDD did not differ significantly. Inflammatory response showed a strong correlation with NVS, PVS, and a range of psychiatric symptoms especially mood , psychomotor symptoms, and cognitive abilities.

    Keywords: psychiatric symptoms, Research Domain Criteria (RDoC), peripheral blood sample test, Inflammation, natural language processing (NLP)

    Received: 15 Aug 2024; Accepted: 15 Nov 2024.

    Copyright: © 2024 Qiu, Yu, Kuang, Hu, Zhu, Qin and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Cheng Yu, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
    Ting Zhu, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
    Ke Qin, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan Province, China
    Wei Zhang, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China

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