Identification of Mitochondria- and Macrophage Activation-Related Hub Genes in Sarcopenia.

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Bangzhi Li, Long Shi, Qiong Wang, Yang Li, Liang Zhao, Rongcan Zhao, Yanjin Wang, Yingjie Zhou, Shan Gu
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引用次数: 0

Abstract

To explore the hub genes and pathways associated with sarcopenia progression from the perspective of mitochondrial dysfunction and macrophage activation. The GEO datasets GSE8479, GSE1428 and GSE136344 were obtained from the GEO database. Mitochondria-related genes (MRGs) and macrophage activation-related genes (MARGs) were identified. Functional enrichment analyses, PPI analysis, diagnostic model construction, molecular subtyping and ssGSEA-based immune enrichment analysis were performed. Key genes were further validated by RT-qPCR. A total of 62 mitochondria- and macrophage activation-related differentially expressed genes (M&MARDEGs) were identified. Nine key genes (IGF1, FTL, MAPK8, MAPK9, TF, CREB1, FAS, VEGFA and NFKB1) were retained in the final diagnostic model. Immune enrichment analysis suggested distinct immune-related transcriptional characteristics among different risk groups and molecular subtypes. RT-qPCR validation demonstrated that IGF1, FAS and MAPK9 were significantly downregulated, whereas FTL, TF, CREB1 and NFKB1 were significantly upregulated in the sarcopenia model group. MAPK8 and VEGFA showed decreasing trends without statistical significance. Integrated transcriptomic analysis identified key genes potentially associated with sarcopenia through the intersection of mitochondrial dysfunction and macrophage activation. These findings provide insights into the molecular characteristics of sarcopenia and may offer candidate targets for future mechanistic and translational studies.

肌少症中线粒体和巨噬细胞激活相关中枢基因的鉴定。
从线粒体功能障碍和巨噬细胞活化的角度探讨与肌少症进展相关的枢纽基因和通路。GEO数据集GSE8479、GSE1428和GSE136344来自GEO数据库。鉴定线粒体相关基因(MRGs)和巨噬细胞激活相关基因(MARGs)。功能富集分析、PPI分析、诊断模型构建、分子分型和基于ssgsea的免疫富集分析。通过RT-qPCR进一步验证关键基因。共鉴定出62个线粒体和巨噬细胞激活相关的差异表达基因(m&mardeg)。最终诊断模型中保留了9个关键基因(IGF1、FTL、MAPK8、MAPK9、TF、CREB1、FAS、VEGFA和NFKB1)。免疫富集分析表明,不同风险群体和分子亚型之间存在不同的免疫相关转录特征。RT-qPCR验证显示,肌少症模型组IGF1、FAS和MAPK9显著下调,FTL、TF、CREB1和NFKB1显著上调。MAPK8和VEGFA呈下降趋势,但无统计学意义。综合转录组学分析通过线粒体功能障碍和巨噬细胞激活的交叉发现了与肌肉减少症潜在相关的关键基因。这些发现为肌肉减少症的分子特征提供了见解,并可能为未来的机制和转化研究提供候选靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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