Multi-omics research strategies in ischemic stroke: A multidimensional perspective

Multi-omics research strategies in ischemic stroke: A multidimensional perspective
复制标题

DOI:
10.1016/j.arr.2022.101730
复制
发表时间:
2022
期刊:
Ageing Research Reviews
影响因子:
--
通讯作者:
Yu He
Yu He
中科院分区:
--
文献类型:
--
作者:
Wentao Li;Chongyu Shao;Huifen Zhou;Haixia Du;Haiyang Chen;Haitong Wan;Yu He

文献摘要

相似文献

Ischemic stroke (IS) is a multifactorial and heterogeneous neurological disorder with high rate of death and long-term impairment. Despite years of studies, there are still no stroke biomarkers for clinical practice, and the molecular mechanisms of stroke remain largely unclear. The high-throughput omics approach provides new avenues for discovering biomarkers of IS and explaining its pathological mechanisms. However, single-omics approaches only provide a limited understanding of the biological pathways of diseases. The integration of multiple omics data means the simultaneous analysis of thousands of genes, RNAs, proteins and metabolites, revealing networks of interactions between multiple molecular levels. Integrated analysis of multi-omics approaches will provide helpful insights into stroke pathogenesis, therapeutic target identification and biomarker discovery. Here, we consider advances in genomics, transcriptomics, proteomics and metabolomics and outline their use in discovering the biomarkers and pathological mechanisms of IS. We then delineate strategies for achieving integration at the multi-omics level and discuss how integrative omics and systems biology can contribute to our understanding and management of IS. Keywords Ischemic stroke; multi-omics; biomarkers; mechanisms; machine learning; systems biology • Biomarkers of IS help to elucidate its biological processes. • Omics-based biomarkers are helpful in disease diagnosis and therapeutic strategies. • The omics approaches enable to untangle the altered mechanisms of IS. • The integration of multi-omics data provides novel clues for a more comprehensive exploration of IS. • Integromics reveals molecular networks linking different processes, bringing up new research opportunities in complex living systems.