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内含子保留作为诊断抑郁症和发现药物干预新潜在途径的优良标志物。

Intron retention as an excellent marker for diagnosing depression and for discovering new potential pathways for drug intervention.

作者信息

Okada Norihiro, Oshima Kenshiro, Maruko Akiko, Sekine Mariko, Ito Naoki, Wakasugi Akino, Mori Eiko, Odaguchi Hiroshi, Kobayashi Yoshinori

机构信息

School of Pharmacy, Kitasato University, Minato-ku, Tokyo, Japan.

Kitasato University Kitasato Institute Hospital, Minato-ku, Tokyo, Japan.

出版信息

Front Psychiatry. 2024 Sep 19;15:1450708. doi: 10.3389/fpsyt.2024.1450708. eCollection 2024.

DOI:10.3389/fpsyt.2024.1450708
PMID:39364384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11446786/
Abstract

BACKGROUND

Peripheral inflammation is often associated with depressive disorders, and immunological biomarkers of depression remain a focus of investigation.

METHODS

We performed RNA-seq analysis of RNA transcripts of human peripheral blood mononuclear cells from a case-control study including subjects with self-reported depression in the pre-symptomatic state of major depressive disorder and analyzed differentially expressed genes (DEGs) and the frequency of intron retention (IR) using rMATS.

RESULTS

Among the statistically significant DEGs identified, the 651 upregulated DEGs were particularly enriched in the term "bacterial infection and phagocytosis", whereas the 820 downregulated DEGs were enriched in the terms "antigen presentation" and "T-cell proliferation and maturation". We also analyzed 158 genes for which the IR was increased (IncIR) and 211 genes for which the IR was decreased (DecIR) in the depressed subjects. Although the Gene Ontology terms associated with IncIR and DecIR were very similar to those of the up- and downregulated genes, respectively, IR genes appeared to be particularly enriched in genes with sensor functions, with a preponderance of the term "ciliary assembly and function". The observation that IR genes specifically interact with innate immunity genes suggests that immune-related genes, as well as cilia-related genes, may be excellent markers of depression. Re-analysis of previously published RNA-seq data from patients with MDD showed that common IR genes, particularly our predicted immune- and cilia-related genes, are commonly detected in populations with different levels of depression, providing validity for using IR to detect depression.

CONCLUSION

Depression was found to be associated with activation of the innate immune response and relative inactivation of T-cell signaling. The DEGs we identified reflect physiological demands that are controlled at the transcriptional level, whereas the IR results reflect a more direct mechanism for monitoring protein homeostasis. Accordingly, an alteration in IR, namely IncIR or DecIR, is a stress response, and intron-retained transcripts are sensors of the physiological state of the cytoplasm. The results demonstrate the potential of relative IR as a biomarker for the immunological stratification of depressed patients and the utility of IR for the discovery of novel pathways involved in recovery from depression.

摘要

背景

外周炎症常与抑郁症相关,抑郁症的免疫学生物标志物仍是研究重点。

方法

我们对一项病例对照研究中人类外周血单个核细胞的RNA转录本进行了RNA测序分析,该研究纳入了处于重度抑郁症症状前期且自我报告有抑郁症的受试者,并使用rMATS分析差异表达基因(DEG)和内含子保留(IR)频率。

结果

在鉴定出的具有统计学意义的DEG中,651个上调的DEG在“细菌感染和吞噬作用”术语中特别富集,而820个下调的DEG在“抗原呈递”和“T细胞增殖与成熟”术语中富集。我们还分析了抑郁症患者中IR增加的158个基因(IncIR)和IR减少的211个基因(DecIR)。尽管与IncIR和DecIR相关的基因本体术语分别与上调和下调基因的术语非常相似,但IR基因似乎在具有传感器功能的基因中特别富集,“纤毛组装和功能”这一术语占主导。IR基因与先天免疫基因特异性相互作用的观察结果表明,免疫相关基因以及纤毛相关基因可能是抑郁症的优秀标志物。对先前发表的重度抑郁症患者RNA测序数据的重新分析表明,常见的IR基因,特别是我们预测的免疫和纤毛相关基因,在不同抑郁水平的人群中普遍被检测到,这为使用IR检测抑郁症提供了有效性。

结论

发现抑郁症与先天免疫反应的激活和T细胞信号传导的相对失活有关。我们鉴定出的DEG反映了在转录水平受到控制的生理需求,而IR结果反映了监测蛋白质稳态的更直接机制。因此,IR的改变,即IncIR或DecIR,是一种应激反应,内含子保留转录本是细胞质生理状态的传感器。结果证明了相对IR作为抑郁症患者免疫分层生物标志物的潜力以及IR在发现抑郁症恢复所涉及的新途径方面的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/93e30db168bf/fpsyt-15-1450708-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/938c94d35e42/fpsyt-15-1450708-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/bc6ce58a84b3/fpsyt-15-1450708-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/9a6259f2fe0c/fpsyt-15-1450708-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/0fc1839741ae/fpsyt-15-1450708-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e235fd8d6283/fpsyt-15-1450708-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e29a668287e1/fpsyt-15-1450708-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e99493fcb724/fpsyt-15-1450708-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/93e30db168bf/fpsyt-15-1450708-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/938c94d35e42/fpsyt-15-1450708-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/bc6ce58a84b3/fpsyt-15-1450708-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/9a6259f2fe0c/fpsyt-15-1450708-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/0fc1839741ae/fpsyt-15-1450708-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e235fd8d6283/fpsyt-15-1450708-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e29a668287e1/fpsyt-15-1450708-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/e99493fcb724/fpsyt-15-1450708-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663e/11446786/93e30db168bf/fpsyt-15-1450708-g008.jpg

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