Discrimination of first-onset patients with bipolar disorder or major depressive disorder using screened biochemical parameters
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Theoretical hypotheses suggest differing oxidative stress levels in mood disorders. We evaluated eight oxidative stress-related biochemical markers for further verification in first-onset patients with bipolar disorder (BD) or major depressive disorder (MDD). METHODS: We extracted 224 first-onset patients (BD = 93 and MDD = 131) from the overall sample database of 4647 candidates. And we analyzed eight parameters: direct bilirubin (DBIL), indirect bilirubin (IBIL), uric acid (UA), lactate dehydrogenase (LDH), thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), prealbumin, and progesterone.The above parameters enter the hierarchical multiple linear regression model for analysis. RESULTS: When compared to MDD, the BD group showed decreased prealbumin and elevated UA, LDH, and FT3 in males while decreased prealbumin and DBIL and elevated IDBIL, LDH, FT3 and progesterone in females (p's < 0.05). The model effectively differentiated between BD and MDD, achieving AUCs of 0.894 for men and 0.897 for women. CONCLUSION: This result elucidates the validity of these biomarkers for identifying first-episode patients with BD or MDD. The discrimination was satisfactory, with good diagnostic accuracy for both gender subgroups.
Source: Annals of General Psychiatry
Authors: Yuncheng Zhu, Sheng Li, Ju Gao, Fang Wang, Ni Zhou, Chuangxin Wu, Xiaojia Huang, Ningning Li, Xiaohui Wu, Hongmei Liu, Lu Yang, Xiaoyun Guo, Zuowei Wang, Yiru Fang
Institutions: Shanghai Changning Mental Health Center, East China Normal University, Soochow University, Suzhou Guangji Hospital, Shanghai University of Medicine and Health Sciences, Shanghai Jiao Tong University, Shanghai Mental Health Center, Ruijin Hospital, Shanghai Key Laboratory of Psychotic Disorders
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
Awards: G2315916148, G6877168560
OpenAlex ID: W4415143291
