Li Xiang-Yao, Rao Yingbo, Li Guo-Hao, He Luxi, Wang Yaohan, He Wenli, Fang Ping, Pei Chenyu, Xi Lun, Xie Haiyan, Lu Yun-Rong
Department of Psychiatry, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain, Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Sci Rep. 2025 Mar 3;15(1):7418. doi: 10.1038/s41598-025-92030-8.
Major depressive disorder (MDD) is a widespread psychiatric condition, recognized as the third leading cause of global disease burden in 2008. In the context of MDD, alterations in synaptic transmission within the prefrontal cortex (PFC) are associated with PFC hypoactivation, a key factor in cognitive function and mood regulation. Given the high energy demands of the central nervous system, these synaptic changes suggest a metabolic imbalance within the PFC of MDD patients. However, the cellular mechanisms underlying this metabolic dysregulation remain not fully elucidated. This study employs single-nucleus RNA sequencing (snRNA-seq) data to predict metabolic alterations in the dorsolateral PFC (DLPFC) of MDD patients. Our analysis revealed cell type-specific metabolic patterns, notably the disruption of oxidative phosphorylation and carbohydrate metabolism in the DLPFC of MDD patients. Gene set enrichment analysis based on human phenotype ontology predicted alterations in serum lactate levels in MDD patients, corroborated by the observed decrease in lactate levels in MDD patients compared to 47 age-matched healthy controls (HCs). This transcriptional analysis offers novel insights into the metabolic disturbances associated with MDD and the energy dynamics underlying DLPFC hypoactivation. These findings are instrumental for comprehending the pathophysiology of MDD and may guide the development of innovative therapeutic strategies.
重度抑郁症(MDD)是一种常见的精神疾病,在2008年被确认为全球疾病负担的第三大主要原因。在MDD的背景下,前额叶皮质(PFC)内突触传递的改变与PFC激活不足有关,PFC激活不足是认知功能和情绪调节的关键因素。鉴于中枢神经系统对能量的高需求,这些突触变化表明MDD患者的PFC内存在代谢失衡。然而,这种代谢失调的细胞机制仍未完全阐明。本研究采用单核RNA测序(snRNA-seq)数据来预测MDD患者背外侧前额叶皮质(DLPFC)的代谢改变。我们的分析揭示了细胞类型特异性的代谢模式,特别是MDD患者DLPFC中氧化磷酸化和碳水化合物代谢的破坏。基于人类表型本体的基因集富集分析预测了MDD患者血清乳酸水平的改变,与47名年龄匹配的健康对照(HCs)相比,MDD患者乳酸水平的降低证实了这一点。这种转录分析为与MDD相关的代谢紊乱以及DLPFC激活不足背后的能量动态提供了新的见解。这些发现有助于理解MDD的病理生理学,并可能指导创新治疗策略的开发。