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跨物种转录组学在人类和小鼠研究之间识别了与肥胖相关的基因

Animesh Acharjee^1,2,3,4, Susanne N Wijesinghe⁵, Dominic Russ^6,7,8,9

¹Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK. a.acharjee@bham.ac.uk.

Journal of translational medicine

|June 25, 2024

概括

肥胖通过改变关节组织中的特定基因加速骨关节炎. 这项研究确定了保存的与肥胖相关的基因,为患有骨关节炎的肥胖患者提供了向治疗的潜力.

科学领域:

基因组学和分子生物学
生物医学工程生物医学工程
代谢研究研究代谢研究

背景情况:

肥胖是骨关节炎 (OA) 的一个主要风险因素,由增加的脂肪和全身炎症驱动.
脂肪组织释放炎症性细胞因子和脂肪因子,影响骨重塑和软骨损失.
与肥胖相关的代谢变化丰富了关节突组织中的亲炎性纤维细胞子集.

研究的目的:

在骨关节炎关节组织中识别与肥胖相关的基因.
为了确定这些基因是否在不同物种和条件下保持.
探索OA在肥胖个体中的潜在治疗点.

主要方法:

利用了6个公共的转录基因数据集 (人类和老鼠) 来自基因表达总汇 (GEO).
采用机器学习模型来识别保存的基因表达特征.
在使用定量PCR的肥胖和健康体重个体的OA关节组织中验证了识别的基因.

主要成果:

机器学习确定了12个不同表达的基因 (DEGs),与不同物种的肥胖相关.
路径分析表明,这些基因参与脂质代谢.
定量PCR验证了三种基因 (IGFBP2,DOK6,CASP1) 在肥胖关节组织中显著上调.

结论:

在骨关节炎关节组织中使用机器学习识别了与肥胖相关的保存基因.
这些基因可能在肥胖个体的疾病加速中发挥着根本性的作用.
这些发现支持患者分层和针对肥胖OA亚群的有针对性的治疗干预措施.

关键词:

多种的奥米克.肥胖问题肥胖问题文字转录学 (Transcriptomics) 是一个学科.翻译医学是一种翻译医学.

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