Literature DB >> 31965895

Recent advances in network medicine: From disease mechanisms to new treatment strategies.

Ítalo Faria do Valle1.   

Abstract

Conventional reductionist approaches have guided most of our understanding in disease diagnostic and treatment. However, most diseases are not consequence of perturbations in a single protein or metabolite, but rather of the effect that these perturbations have in their cellular context. The emerging field of network medicine offers a set of tools to explore molecular networks and to retrieve insights about mechanisms of different diseases. The study of the protein interactome, the map of physical interactions among human proteins, revealed that disease proteins tend to interact with each other, linking diseases to well-defined interactome neighborhoods. These disease-associated neighborhoods have been defined as disease modules, and they can uncover the biological significance of genes identified by genetic studies, reveal molecular mechanisms that connect different phenotypes, and help identify new pharmacological strategies for disease treatment. Therefore, network medicine offers a framework in which the complexity of different aspects of multiple sclerosis can be explored in an integrative fashion, which can ultimately provide insights about disease mechanisms and treatment.

Entities:  

Keywords:  Network medicine; complex diseases; disease proteins; drug targets; molecular networks

Mesh:

Year:  2020        PMID: 31965895     DOI: 10.1177/1352458519877002

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  2 in total

Review 1.  Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.

Authors:  Abhijeet Rajendra Sonawane; Elena Aikawa; Masanori Aikawa
Journal:  Front Cardiovasc Med       Date:  2022-05-19

Review 2.  Disease-specific interactome alterations via epichaperomics: the case for Alzheimer's disease.

Authors:  Stephen D Ginsberg; Thomas A Neubert; Sahil Sharma; Chander S Digwal; Pengrong Yan; Calin Timbus; Tai Wang; Gabriela Chiosis
Journal:  FEBS J       Date:  2021-06-12       Impact factor: 5.622

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.