Stuart Matan-Lithwick , Melissa C. Misztal , Mu Yang , Thomas DeLong , Shreejoy Tripathy , Jeffrey T. Dunn , David A. Bennett , Philip L. De Jager , Yanling Wang , Daniel W. Fisher , Hongxin Dong , Daniel Felsky
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Bulk tissue RNA sequencing was analyzed against depressive symptoms measured prior to death, controlling for Alzheimer’s disease neuropathology, medication status, and lifestyle factors. Sex-stratified models were also tested.</div></div><div><h3>Results</h3><div>Increased abundance of the Prader-Willi syndrome–associated gene <em>PWAR1</em> (corrected <em>p</em> = 5.47 × 10<sup>−3</sup>) and <em>CTDSPL2</em> (corrected <em>p</em> = .03) were associated with a higher burden of depressive symptoms in the combined sample. An additional 14 genes showed suggestive associations, including several with known links to neuropsychiatric illness (e.g., <em>ACVR2B-AS1</em>, <em>COL19A1</em>). Functional enrichment analysis revealed downregulation of aerobic metabolism and upregulation of both amino acid catabolism and DNA modification processes. Differential expression signatures were poorly correlated between males and females (Pearson <em>r</em> = 0.12; 95% CI, 0.10 to 0.13), and only the male group showed independently significant differential expression. Little overlap was found with previously published analyses of major depressive disorder.</div></div><div><h3>Conclusions</h3><div>Building on recently published single-nucleus profiling, we present the largest-ever study of transcriptomic correlates of depressive symptoms in late life, revealing new insights into sex-specific regulators. <em>PWAR1</em> and <em>CTDSPL2</em> were identified as putative markers of late-life depression in the dorsolateral prefrontal cortex and warrant further study.</div></div>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 3","pages":"Article 100448"},"PeriodicalIF":4.0000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Transcriptomic Signature of Depressive Symptoms in Late Life\",\"authors\":\"Stuart Matan-Lithwick , Melissa C. 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引用次数: 0
摘要
背景:晚年抑郁症状可损害日常功能并伴有认知能力下降。然而,大脑中这些变化背后的分子机制仍然知之甚少。方法采用ROS/MAP (Religious Orders Study and Memory and Aging Project,宗教秩序研究与记忆与衰老项目)对老年人前额叶背外侧样本大组织RNA测序数据进行差异表达分析;N = 998,平均死亡年龄= 89.7岁)。大体积组织RNA测序与死亡前测量的抑郁症状进行分析,控制阿尔茨海默病的神经病理学、药物状况和生活方式因素。性别分层模型也进行了测试。结果Prader-Willi综合征相关基因PWAR1(校正p = 5.47 × 10−3)和CTDSPL2(校正p = 0.03)丰度的增加与合并样本中较高的抑郁症状负担相关。另外14个基因显示了暗示性的关联,包括几个已知与神经精神疾病相关的基因(例如,ACVR2B-AS1, COL19A1)。功能富集分析显示有氧代谢下调,氨基酸分解代谢和DNA修饰过程上调。差异表达特征在男性和女性之间相关性较差(Pearson r = 0.12;95% CI, 0.10 ~ 0.13),只有男性组有独立的显著差异表达。与先前发表的重度抑郁症分析几乎没有重叠。基于最近发表的单核分析,我们提出了迄今为止最大规模的晚年抑郁症状转录组学相关研究,揭示了对性别特异性调节因子的新见解。PWAR1和CTDSPL2被认为是前额叶皮层背外侧晚年抑郁的标记物,值得进一步研究。
A Transcriptomic Signature of Depressive Symptoms in Late Life
Background
Depressive symptoms in late life can impair daily function and accompany cognitive decline. However, the molecular mechanisms that underlie these changes in the brain remain poorly understood.
Methods
Differential expression analysis was performed on bulk-tissue RNA sequencing data generated from dorsolateral prefrontal cortex samples of elderly participants in ROS/MAP (Religious Orders Study and Memory and Aging Project; N = 998, mean age at death = 89.7 years). Bulk tissue RNA sequencing was analyzed against depressive symptoms measured prior to death, controlling for Alzheimer’s disease neuropathology, medication status, and lifestyle factors. Sex-stratified models were also tested.
Results
Increased abundance of the Prader-Willi syndrome–associated gene PWAR1 (corrected p = 5.47 × 10−3) and CTDSPL2 (corrected p = .03) were associated with a higher burden of depressive symptoms in the combined sample. An additional 14 genes showed suggestive associations, including several with known links to neuropsychiatric illness (e.g., ACVR2B-AS1, COL19A1). Functional enrichment analysis revealed downregulation of aerobic metabolism and upregulation of both amino acid catabolism and DNA modification processes. Differential expression signatures were poorly correlated between males and females (Pearson r = 0.12; 95% CI, 0.10 to 0.13), and only the male group showed independently significant differential expression. Little overlap was found with previously published analyses of major depressive disorder.
Conclusions
Building on recently published single-nucleus profiling, we present the largest-ever study of transcriptomic correlates of depressive symptoms in late life, revealing new insights into sex-specific regulators. PWAR1 and CTDSPL2 were identified as putative markers of late-life depression in the dorsolateral prefrontal cortex and warrant further study.