Ren Siyu, Qin Peilin, Wang Yaping, Li Zhiyu, Sun Zuoli, Wang Gang, Yang Jian
Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Capital Medical University, 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
BMC Psychiatry. 2025 Jul 22;25(1):720. doi: 10.1186/s12888-025-07156-w.
Major depressive disorder (MDD) disproportionately affects women, who exhibit a higher prevalence and greater symptom severity than men. However, sex-specific pathophysiological mechanisms remain poorly understood. Emerging evidence implicates gut microbiota-derived metabolites in MDD, but many prior studies have failed to consider sex differences, potentially obscuring critical biomarkers. This study aims to address this gap by characterizing sex-specific fecal metabolite profiles in MDD.
Untargeted metabolomics was used to examine fecal metabolic profiles in 279 participants (117 with MDD and 162 healthy controls). The cohort was stratified by biological sex to identify sex-specific metabolic alterations associated with depressive symptoms through statistical analyses. A machine learning approach incorporating feature selection was employed to identify potential discriminative biomarkers, with a particular focus on female metabolic characteristics.
Sex-stratified analysis revealed significant metabolic divergence in female MDD patients compared to healthy controls. Twenty-four differentially abundant metabolites were identified in females, with heptylamine and phenaceturic acid being unique to this group; no significant differences were observed in males. Correlation analyses showed that phenaceturic acid and 1-monoheptadecanoyl glyceride were significantly negatively correlated with depressive symptom severity in females. Besides, a sex-specific diagnostic panel based on five key fecal metabolites demonstrated promising performance in distinguishing female MDD patients from healthy controls.
By systematically revealing sex-dependent metabolic alterations, this study identified potential biomarkers for sex-specific diagnostic and therapeutic strategies. These findings highlight the importance of integrating sex-specific perspectives in gut-brain axis research to advance precision medicine in MDD, rather than relying solely on generalized approaches.
Human Research and Ethics Committee of Beijing Anding Hospital, Capital Medical University, China (Approval No. 2017-24), registered on 2018.07.24.
重度抑郁症(MDD)对女性的影响尤为严重,女性的患病率和症状严重程度均高于男性。然而,性别特异性的病理生理机制仍知之甚少。新出现的证据表明,肠道微生物群衍生的代谢产物与MDD有关,但许多先前的研究未能考虑性别差异,这可能会掩盖关键的生物标志物。本研究旨在通过描述MDD中性别特异性的粪便代谢物谱来填补这一空白。
采用非靶向代谢组学方法检测279名参与者(117名MDD患者和162名健康对照)的粪便代谢谱。根据生物性别对队列进行分层,通过统计分析确定与抑郁症状相关的性别特异性代谢改变。采用结合特征选择的机器学习方法识别潜在的鉴别生物标志物,特别关注女性的代谢特征。
性别分层分析显示,与健康对照相比,女性MDD患者存在显著的代谢差异。在女性中鉴定出24种差异丰富的代谢物,其中庚胺和苯乙酰尿酸是该组特有的;在男性中未观察到显著差异。相关性分析表明,苯乙酰尿酸和1-单十七烷酰甘油与女性抑郁症状严重程度呈显著负相关。此外,基于五种关键粪便代谢物的性别特异性诊断面板在区分女性MDD患者和健康对照方面表现出良好的性能。
通过系统地揭示性别依赖性代谢改变,本研究确定了性别特异性诊断和治疗策略的潜在生物标志物。这些发现强调了在脑-肠轴研究中纳入性别特异性观点以推进MDD精准医学的重要性,而不是仅仅依赖于通用方法。
中国首都医科大学附属北京安定医院人类研究与伦理委员会(批准号:2017-24),于[具体日期]注册。 (注:原文中2018.07.24为注册日期,但在译文中按照中文习惯将日期完整表述为“于2018年7月24日注册”)