Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder

代谢综合征 双相情感障碍 内科学 医学 精神分裂症(面向对象编程) 代谢紊乱 队列 内分泌学 生物信息学 生物 精神科 锂(药物) 肥胖
作者
Kassandra A. Zachos,Jaehyoung Choi,O. Godin,Timofei Chernega,Haejin Angela Kwak,Jae Hong Jung,Bruno Aouizerate,V. Aubin,Frank Bellivier,Raoul Belzeaux-R,Philippe Courtet,Caroline Dubertret,Bruno Étain,Émmanuel Haffen,Antoine Lefrere A,Pierre-Michel Llorca,Émilie Olié,Mircea Polosan,Ludovic Samalin,Raymund Schwan
出处
期刊:Psychiatry Research-neuroimaging [Elsevier BV]
卷期号:339: 116063-116063 被引量:4
标识
DOI:10.1016/j.psychres.2024.116063
摘要

The object of this study is test whether mitochondrial blood-based biomarkers are associated with markers of metabolic syndrome in bipolar disorder, hypothesizing higher lactate but unchanged cell-free circulating mitochondrial DNA levels in bipolar disorder patients with metabolic syndrome. In a cohort study, primary testing from the FondaMental Advanced Centers of Expertise for bipolar disorder (FACE-BD) was conducted, including 837 stable bipolar disorder patients. The I-GIVE validation cohort consists of 237 participants: stable and acute bipolar patients, non-psychiatric controls, and acute schizophrenia patients. Multivariable regression analyses show significant lactate association with triglycerides, fasting glucose and systolic and diastolic blood pressure. Significantly higher levels of lactate were associated with presence of metabolic syndrome after adjusting for potential confounding factors. Mitochondrial-targeted metabolomics identified distinct metabolite profiles in patients with lactate presence and metabolic syndrome, differing from those without lactate changes but with metabolic syndrome. Circulating cell-free mitochondrial DNA was not associated with metabolic syndrome. This thorough analysis mitochondrial biomarkers indicate the associations with lactate and metabolic syndrome, while showing the mitochondrial metabolites can further stratify metabolic profiles in patients with BD. This study is relevant to improve the identification and stratification of bipolar patients with metabolic syndrome and provide potential personalized-therapeutic opportunities.
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