Calarco Cali A, Keppetipola Swarnapali M, Kumar Gautam, Shipper Andrea G, Lobo Mary Kay
bioRxiv. 2023 Sep 14:2023.09.13.557572. doi: 10.1101/2023.09.13.557572.
Major depressive disorder (MDD) and bipolar disorder (BD), are globally prevalent, contributing to significant disease burden and adverse health outcomes. These mood disorders are associated with changes in many aspects of brain reward pathways, yet cellular and molecular changes in the brain are not readily available in clinical populations. Therefore, the use of biomarkers as proxies for changes in the brain are necessary. The proliferation of mitochondria in blood has emerged as a potentially useful biomarker, yet a clear consensus on how these mood disorders impact mitochondrial DNA copy number (mtDNAcn) has not been reached.
Following PRISMA guidelines for a systematic search, 22 papers met inclusion criteria for meta-analysis (10 MDD, 10 BD, 2 both MDD and BD). We extracted demographic, disorder, and methodological information with mtDNAcn. Using the metafor package for R, calculated effect sizes were used in random effects or meta regression models for MDD and BD.
Our results show a trending increase in mtDNAcn in patients with MDD, which reaches significance when one study with outlying demographic characteristics is excluded. Overall, there was no effect of BD on mtDNAcn, however, further subgroup and meta-regression analysis indicated the effects on mtDNAcn are dependent on BD type.
Together our data suggest whole blood/leukocyte mtDNAcn may be a useful biomarker for mood disorders, with MDD and BD Type II associated with higher mtDNAcn, and BD Type I associated with lower mtDNAcn. Further study of blood mtDNAcn could predict downstream health outcomes or treatment responsivity in individuals with mood disorders.
重度抑郁症(MDD)和双相情感障碍(BD)在全球范围内普遍存在,导致了重大的疾病负担和不良健康后果。这些情绪障碍与大脑奖赏通路多个方面的变化有关,然而临床人群中大脑的细胞和分子变化并不容易获得。因此,使用生物标志物作为大脑变化的替代指标是必要的。血液中线粒体的增殖已成为一种潜在有用的生物标志物,但对于这些情绪障碍如何影响线粒体DNA拷贝数(mtDNAcn)尚未达成明确共识。
按照PRISMA系统检索指南,22篇论文符合荟萃分析的纳入标准(10篇关于MDD,10篇关于BD,2篇同时涉及MDD和BD)。我们提取了人口统计学、疾病和mtDNAcn的方法学信息。使用R语言的metafor包,计算出的效应量用于MDD和BD的随机效应或元回归模型。
我们的结果显示MDD患者的mtDNAcn有上升趋势,排除一项具有异常人口统计学特征的研究后达到显著水平。总体而言,BD对mtDNAcn没有影响,然而,进一步的亚组和元回归分析表明对mtDNAcn的影响取决于BD类型。
我们的数据共同表明全血/白细胞mtDNAcn可能是情绪障碍的一种有用生物标志物,MDD和II型BD与较高的mtDNAcn相关,I型BD与较低的mtDNAcn相关。对血液mtDNAcn的进一步研究可以预测情绪障碍个体的下游健康结果或治疗反应性。