4.3 Review

Multi-omics study on biomarker and pathway discovery of chronic obstructive pulmonary disease

期刊

JOURNAL OF BREATH RESEARCH
卷 15, 期 4, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1752-7163/ac15ea

关键词

chronic obstructive pulmonary disease; multi-omics; biomarker; pathways; pathogenesis

资金

  1. Public Project of Ningbo [202002N3167]
  2. K C Wong Magna Fund of Ningbo University

向作者/读者索取更多资源

COPD is a common respiratory disease with heterogeneous features, and omics technologies have been increasingly used to discover biomarkers for accurate diagnosis and elucidate complex mechanisms. Protein-protein interactions and multi-omics integrated analyses help in understanding the progression of COPD.
Chronic obstructive pulmonary disease (COPD) is a common heterogeneous respiratory disease characterized by persistent and incompletely reversible airflow limitation. Due to the heterogeneity and phenotype complexity of COPD, traditional diagnostic methods can only provide limited information on predicted results and treatment, which are not sufficient for accurate diagnosis and evaluation. With the development of omics technologies in recent years, genomics, proteomics and metabolomics are widely used in the study of COPD, providing good tools for discovering biomarkers to diagnose and elucidate the complex mechanism of COPD. In this review, we summarize the biomarkers of COPD based on metabolomic, proteomic and transcriptomic studies that have been reported in recent years. Furthermore, protein-protein interactions and multi-omics integrated analyses were carried out to explore the important metabolites and proteins that are involved in significant pathways in the progression of COPD in order to explain the pathogenesis of COPD. Finally, the prospects and challenges in the study of COPD are proposed. It is expected that this review will provide some references for the development of diagnostic methods and elucidation of the pathogenesis of COPD.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据