通过集成的多omics技术对骨质疏松症进行分析
Adriano Braile1,2,3, Adriano Bani4, Seyedeh Fatemeh Hosseininasab5
1Unit of Orthopaedics and Traumatology, Ospedale del Mare, 80147 Naples, Italy.
Cells
|March 14, 2026
概括
多omics方法揭示了骨质疏松症和骨质疏松症的复杂分子机制,有助于发现生物标志物和治疗骨损失和肌肉退化的治疗方法.
科学领域:
- 生物医学研究的研究.
- 基因组学和系统生物学
背景情况:
- 骨质疏松症涉及骨质损失和肌肉退化.
- 多omics技术为分子机制提供了洞察力,有助于生物标志物发现和治疗开发.
研究的目的:
- 在骨质疏松症中综合多种omics应用的证据.
- 专注于分子洞察力,方法多样性和翻译潜力.
主要方法:
- 对PubMed,Embase和Scopus的范围审查 (检索了433条记录).
- 关键词:骨质疏松症,骨质疏松症,奥米克斯.
- 包括30项研究,提取了关于人口,样本,技术和整合的数据.
主要成果:
- 不同的奥米克技术 (转录组学,蛋白组学,代谢组学等) 它们被使用了,通常是计算集成的.
- 确定了关键的途径:骨质细胞分化,免疫调节,铁,微生物组-代谢物相互作用.
- 多omics使分子亚型,生物标记物和治疗点的识别成为可能,但注意到队列大小和验证的局限性.
结论:
- 多组学为了解骨和肌肉退化提供了一个框架.
- 准确诊断和干预的指南.
- 未来的研究需要大型,多中心的纵向研究,并进行临床验证以进行翻译.
关键词:
生物标志物 生物标志物骨 肌肉轴 骨 肌肉轴在表观基因组学上,表观基因组学.代谢生物组的代谢生物组多种主题的多种主题.骨质疏松症是一种骨质疏松症.精准医学是一门精准医学.蛋白质组学 蛋白质组学翻译学 翻译学 翻译学 翻译学更多相关视频
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