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Three decades of advancements in osteoarthritis research: insights from transcriptomic, proteomic, and metabolomic studies.
Rai, Muhammad Farooq; Collins, Kelsey H; Lang, Annemarie; Maerz, Tristan; Geurts, Jeroen; Ruiz-Romero, Cristina; June, Ronald K; Ramos, Yolande; Rice, Sarah J; Ali, Shabana Amanda; Pastrello, Chiara; Jurisica, Igor; Thomas Appleton, C; Rockel, Jason S; Kapoor, Mohit.
Afiliación
  • 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.
  • Collins KH; Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Lang A; Departments of Orthopaedic Surgery and Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
  • Maerz T; Department of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.
  • Geurts J; Rheumatology, Department of Musculoskeletal Medicine, Lausanne University Hospital, Lausanne, Switzerland.
  • Ruiz-Romero C; Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica, INIBIC -Hospital Universitario A Coruña, SERGAS, Spain.
  • June RK; Department of Mechanical & Industrial Engineering, Montana State University, Bozeman, MT, USA.
  • Ramos Y; Dept. Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
  • Rice SJ; Biosciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Ali SA; Henry Ford Health + Michigan State University Health Sciences, Detroit, MI, USA.
  • Pastrello C; Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada.
  • 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.
  • Thomas Appleton C; Department of Medicine, University of Western Ontario, London, ON, Canada.
  • Rockel JS; Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada.
  • Kapoor M; Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, UHN, Toronto, ON, Canada. Electronic address: mkapoor@uhnresearch.ca.
Osteoarthritis Cartilage ; 32(4): 385-397, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38049029
OBJECTIVE: Osteoarthritis (OA) is a complex disease involving contributions from both local joint tissues and systemic sources. Patient characteristics, encompassing sociodemographic and clinical variables, are intricately linked with OA rendering its understanding challenging. Technological advancements have allowed for a comprehensive analysis of transcripts, proteomes and metabolomes in OA tissues/fluids through omic analyses. The objective of this review is to highlight the advancements achieved by omic studies in enhancing our understanding of OA pathogenesis over the last three decades. DESIGN: We conducted an extensive literature search focusing on transcriptomics, proteomics and metabolomics within the context of OA. Specifically, we explore how these technologies have identified individual transcripts, proteins, and metabolites, as well as distinctive endotype signatures from various body tissues or fluids of OA patients, including insights at the single-cell level, to advance our understanding of this highly complex disease. RESULTS: Omic studies reveal the description of numerous individual molecules and molecular patterns within OA-associated tissues and fluids. This includes the identification of specific cell (sub)types and associated pathways that contribute to disease mechanisms. However, there remains a necessity to further advance these technologies to delineate the spatial organization of cellular subtypes and molecular patterns within OA-afflicted tissues. CONCLUSIONS: Leveraging a multi-omics approach that integrates datasets from diverse molecular detection technologies, combined with patients' clinical and sociodemographic features, and molecular and regulatory networks, holds promise for identifying unique patient endophenotypes. This holistic approach can illuminate the heterogeneity among OA patients and, in turn, facilitate the development of tailored therapeutic interventions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Proteómica Límite: Humans Idioma: En Revista: Osteoarthritis Cartilage Asunto de la revista: ORTOPEDIA / REUMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Emiratos Árabes Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoartritis / Proteómica Límite: Humans Idioma: En Revista: Osteoarthritis Cartilage Asunto de la revista: ORTOPEDIA / REUMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Emiratos Árabes Unidos Pais de publicación: Reino Unido