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Makale Derleme Uluslararası 2021

Multi-omics approaches for revealing the complexity of cardiovascular disease

Stephen Doran, Muhammad Arif, Simon Lam, Abdulahad Bayraktar, Hasan Türkez, Mathias Uhlen, Jan Boren, Adil Mardinoglu

Briefings in bioinformatics Cilt 22 · Sayı 5 · 01.09.2021
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Özet

The development and progression of cardiovascular disease (CVD) can mainly be attributed to the narrowing of blood vessels caused by atherosclerosis and thrombosis, which induces organ damage that will result in end-organ dysfunction characterized by events such as myocardial infarction or stroke. It is also essential to consider other contributory factors to CVD, including cardiac remodelling caused by cardiomyopathies and co-morbidities with other diseases such as chronic kidney disease. Besides, there is a growing amount of evidence linking the gut microbiota to CVD through several metabolic pathways. Hence, it is of utmost importance to decipher the underlying molecular mechanisms associated with these disease states to elucidate the development and progression of CVD. A wide array of systems biology approaches incorporating multi-omics data have emerged as an invaluable tool in establishing alterations in specific cell types and identifying modifications in signalling events that promote disease development. Here, we review recent studies that apply multi-omics approaches to further understand the underlying causes of CVD and provide possible treatment strategies by identifying novel drug targets and biomarkers. We also discuss very recent advances in gut microbiota research with an emphasis on how diet and microbial composition can impact the development of CVD. Finally, we present various biological network analyses and other independent studies that have been employed for providing mechanistic explanation and developing treatment strategies for end-stage CVD, namely myocardial infarction and stroke.

Anahtar kelimeler

cardiovascular disease chronic kidney disease gut microbiota coronary artery disease Glomerular filtration rate Genome-scale metabolic model Systems biology Omics integration PLASMA MANNOSE LEVELS integrated networks VASCULAR ENDOTHELIAL-CELLS GENOME-WIDE ASSOCIATION TRIMETHYLAMINE N-OXIDE INTEGRIN-LINKED KINASE

Sürdürülebilir Kalkınma Amaçları

  • SKA 3: Sağlıklı Bireyler

Atıf için künye

Doran, S., Arif, M., Lam, S., Bayraktar, A., Türkez, H., Uhlen, M., Boren, J., & Mardinoglu, A. (2021). Multi-omics approaches for revealing the complexity of cardiovascular disease. Briefings in bioinformatics, 22(5). https://doi.org/10.1093/bib/bbab061

BibTeX
@article{doran2021-244915,
  author = {Doran, Stephen and Arif, Muhammad and Lam, Simon and Bayraktar, Abdulahad and Türkez, Hasan and Uhlen, Mathias and Boren, Jan and Mardinoglu, Adil},
  title = {Multi-omics approaches for revealing the complexity of cardiovascular disease},
  journal = {Briefings in bioinformatics},
  year = {2021},
  volume = {22},
  number = {5},
  issn = {1467-5463},
  doi = {10.1093/bib/bbab061},
  url = {https://akademik.atauni.edu.tr/yayinlar/244915-multi-omics-approaches-for-revealing-the-complexity-of-cardiovascular-disease}
}