We review here omics approaches including transcriptomics, proteomics, glycomics, metabolomics and interactomics, databases and computational tools for omic and multi-omic investigations of fibrosis to understand the molecular mechanisms underlying fibrogenesis and fibrosis, to identify biomarkers of diagnosis, prognosis or disease progression, and new therapeutic targets and to design new anti-fibrotic drugs. We also provide perspectives for future studies including lipid and glycosaminoglycan profiling, and the design of virtual patient models as a basis for personalised medicine and virtualisation of drug development.

中文翻译：

---

Omic方法破译纤维化的分子机制，并设计新的抗纤维化策略。

我们在这里回顾了组学方法，包括转录组学，蛋白质组学，糖组学，代谢组学和相互作用组学，数据库和计算工具，用于进行纤维化的组学和多组学研究，以了解纤维化和纤维化的潜在分子机制，从而确定诊断，预后或疾病进展的生物标志物，和新的治疗目标，并设计新的抗纤维化药物。我们还为未来的研究提供了前景，包括脂质和糖胺聚糖谱分析，以及虚拟患者模型的设计，这些模型是个性化药物和药物开发虚拟化的基础。