外周血转录组共表达网络分析确定老年人内质网蛋白加工失调和复发性重度抑郁症的免疫反应

最新推荐文章于 2024-05-27 13:01:11 发布

铭&婵旭

最新推荐文章于 2024-05-27 13:01:11 发布

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分类专栏：文献摘要翻译文章标签： depression genomic transcripto

本文链接：https://blog.youkuaiyun.com/qq_41557432/article/details/97373071

通过对老年人外周血转录组进行共表达网络分析，研究发现复发性重度抑郁症（MDD）与内质网蛋白质处理失调和免疫反应异常相关。这项研究利用悉尼记忆和老龄化研究及澳大利亚老年双胞胎研究的数据，揭示了可能涉及病原体相关途径的复杂生物学机制。

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Co-expression network analysis of peripheral blood transcriptome identifies dysregulated protein processing in endoplasmic reticulum and immune response in recurrent MDD in older adults

The molecular factors involved in the pathophysiology of major depressive disorder (MDD) remain poorly understood. One approach to examine the molecular basis of MDD is co-expression network analysis, which facilitates the examination of complex interactions between expression levels of individual genes and how they influence biological pathways affected in MDD. Here, we applied an unsupervised gene-network based approach to a prospective experimental design using microarray genome-wide gene expression from the peripheral whole blood of older adults. We utilised the Sydney Memory and Ageing Study (sMAS, N = 521) and the Older Australian Twins Study (OATS, N = 186) as discovery and replication cohorts, respectively. We constructed networks using Weighted Gene Co-expression Network Analysis (