Evolution and advancements in genomics and epigenomics in OA research: How far we have come.

data sharing epigenomics genomics methylomics miRNomics osteoarthritis

Journal

Osteoarthritis and cartilage
ISSN: 1522-9653
Titre abrégé: Osteoarthritis Cartilage
Pays: England
ID NLM: 9305697

Informations de publication

Date de publication:
28 Feb 2024
Historique:
received: 17 11 2023
revised: 29 01 2024
accepted: 25 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

Osteoarthritis (OA) is the most prevalent musculoskeletal disease affecting articulating joint tissues, resulting in local and systemic changes that contribute to increased pain and reduced function. Diverse technological advancements have culminated in the advent of high throughput "omic" technologies, enabling identification of comprehensive changes in molecular mediators associated with the disease. Amongst these technologies, genomics and epigenomics - including methylomics and miRNomics, have emerged as important tools to aid our biological understanding of disease. In this narrative review, we selected articles discussing advancements and application of these technologies to OA biology and pathology. We discuss how genomics, DNA methylomics, and miRNomics have uncovered disease-related molecular markers in the local and systemic tissues or fluids of OA patients. Genomics investigations into the genetic links of OA, including using GWAS, have evolved to identify 100+ genetic susceptibility markers of OA. Epigenomic investigations of gene methylation status have identified the importance of methylation to OA-related catabolic gene expression. Furthermore, miRNomic studies have identified key microRNA signatures in various tissues and fluids related to OA disease. Sharing of standardized, well-annotated omic datasets in curated repositories will be key to enhancing statistical power to detect smaller and targetable changes in the biological signatures underlying OA pathogenesis. Additionally, continued technological developments and analysis methods, including using computational molecular and regulatory networks, are likely to facilitate improved detection of disease-relevant targets, in-turn, supporting precision medicine approaches and new treatment strategies for OA.

Identifiants

pubmed: 38428513
pii: S1063-4584(24)00054-2
doi: 10.1016/j.joca.2024.02.656
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Auteurs

Yolande Ramos (Y)

Dept. Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.

Sarah J Rice (SJ)

Biosciences Institute, International Centre for Life, Newcastle University, Newcastle upon Tyne, United Kingdom.

Shabana Amanda Ali (SA)

Henry Ford Health + Michigan State University Health Sciences, Detroit, MI, USA.

Chiara Pastrello (C)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada.

Igor Jurisica (I)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada; Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON, Canada.

Muhammad Farooq Rai (MF)

Department of Anatomy and Cellular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

Kelsey H Collins (KH)

Department of Orthopaedic Surgery, University of California San Francisco.

Annemarie Lang (A)

Departments of Orthopaedic Surgery and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.

Tristan Maerz (T)

Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.

Jeroen Geurts (J)

Rheumatology, Department of Musculoskeletal Medicine, Lausanne University Hospital, Lausanne, Switzerland.

Cristina Ruiz-Romero (C)

Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica, INIBIC -Hospital Universitario A Coruña, SERGAS, Spain.

Ronald K June (RK)

Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, USA.

C Thomas Appleton (C)

Department of Medicine, University of Western Ontario, London, ON, Canada.

Jason S Rockel (JS)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada.

Mohit Kapoor (M)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada. Electronic address: mkapoor@uhnresearch.ca.

Classifications MeSH