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OVCH1 反义 RNA 1 在非虚弱和虚弱的老年人群体中表达存在差异。

OVCH1 Antisense RNA 1 is differentially expressed between non-frail and frail old adults.

机构信息

Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.

Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa, 230-0045, Japan.

出版信息

Geroscience. 2024 Apr;46(2):2063-2081. doi: 10.1007/s11357-023-00961-9. Epub 2023 Oct 11.

Abstract

While some old adults stay healthy and non-frail up to late in life, others experience multimorbidity and frailty often accompanied by a pro-inflammatory state. The underlying molecular mechanisms for those differences are still obscure. Here, we used gene expression analysis to understand the molecular underpinning between non-frail and frail individuals in old age. Twenty-four adults (50% non-frail and 50% frail) from InCHIANTI study were included. Total RNA extracted from whole blood was analyzed by Cap Analysis of Gene Expression (CAGE). CAGE identified transcription start site (TSS) and active enhancer regions. We identified a set of differentially expressed (DE) TSS and enhancer between non-frail and frail and male and female participants. Several DE TSSs were annotated as lncRNA (XIST and TTTY14) and antisense RNAs (ZFX-AS1 and OVCH1 Antisense RNA 1). The promoter region chr6:366,786,54-366,787,97;+ was DE and overlapping the longevity CDKN1A gene. GWAS-LD enrichment analysis identifies overlapping LD-blocks with the DE regions with reported traits in GWAS catalog (isovolumetric relaxation time and urinary tract infection frequency). Furthermore, we used weighted gene co-expression network analysis (WGCNA) to identify changes of gene expression associated with clinical traits and identify key gene modules. We performed functional enrichment analysis of the gene modules with significant trait/module correlation. One gene module is showing a very distinct pattern in hub genes. Glycogen Phosphorylase L (PYGL) was the top ranked hub gene between non-frail and frail. We predicted transcription factor binding sites (TFBS) and motif activity. TF involved in age-related pathways (e.g., FOXO3 and MYC) shows different expression patterns between non-frail and frail participants. Expanding the study of OVCH1 Antisense RNA 1 and PYGL may help understand the mechanisms leading to loss of homeostasis that ultimately causes frailty.

摘要

虽然有些老年人在晚年保持健康和非虚弱状态,但另一些老年人则经常患有多种疾病和虚弱,同时伴有炎症状态。这些差异的潜在分子机制仍然不清楚。在这里,我们使用基因表达分析来了解老年非虚弱和虚弱个体之间的分子基础。我们纳入了来自 InCHIANTI 研究的 24 名成年人(50%非虚弱,50%虚弱)。从全血中提取总 RNA,通过 Cap 分析基因表达(CAGE)进行分析。CAGE 鉴定了转录起始位点(TSS)和活跃的增强子区域。我们鉴定了一组在非虚弱和虚弱以及男性和女性参与者之间差异表达(DE)的 TSS 和增强子。几个 DE TSS 被注释为 lncRNA(XIST 和 TTTY14)和反义 RNA(ZFX-AS1 和 OVCH1 反义 RNA 1)。DE 区域 chr6:366,786,54-366,787,97;+的启动子区域重叠与 CDKN1A 基因有关的长寿基因。GWAS-LD 富集分析确定了与 DE 区域重叠的 LD 块,这些区域与 GWAS 目录中报告的特征(等容舒张时间和尿路感染频率)相关。此外,我们使用加权基因共表达网络分析(WGCNA)来识别与临床特征相关的基因表达变化,并识别关键基因模块。我们对与特征/模块相关性显著的基因模块进行了功能富集分析。一个基因模块在枢纽基因中显示出非常明显的模式。糖原磷酸化酶 L(PYGL)是在非虚弱和虚弱个体之间排名最高的枢纽基因。我们预测了转录因子结合位点(TFBS)和基序活性。涉及年龄相关途径的 TF(例如,FOXO3 和 MYC)在非虚弱和虚弱参与者之间表现出不同的表达模式。扩大对 OVCH1 反义 RNA 1 和 PYGL 的研究可能有助于了解导致失衡的机制,最终导致虚弱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/856c/10828349/2fa0dd209cb4/11357_2023_961_Fig1_HTML.jpg

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