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Transcriptomics and metabolomics: Challenges of studying obesity in osteoarthritis.
Rockel, Jason S; Potla, Pratibha; Kapoor, Mohit.
Afiliación
  • Rockel JS; Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
  • Potla P; Krembil Research Institute, University Health Network, Toronto, ON, Canada.
  • Kapoor M; Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Osteoarthr Cartil Open ; 6(3): 100479, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38774038
ABSTRACT

Objective:

Obesity is a leading risk factor for both the incidence and progression of osteoarthritis (OA). Omic technologies, including transcriptomics and metabolomics are capable of identifying RNA and metabolite profiles in tissues and biofluids of OA patients. The objective of this review is to highlight studies using transcriptomics and metabolomics that contribute to our understanding of OA pathology in relation to obesity.

Design:

We conducted a targeted search of PUBMED for articles, and GEO for datasets, published up to February 13, 2024, screening for those using high-throughput transcriptomic and metabolomic techniques to study human or pre-clinical animal model tissues or biofluids related to obesity-associated OA. We describe relevant studies and discuss challenges studying obesity as a disease-related factor in OA.

Results:

Of the 107 publications identified by our search criteria, only 15 specifically used transcriptomics or metabolomics to study joint tissues or biofluids in obesity-related OA. Specific transcriptomic and metabolomic signatures associated with obesity-related OA have been defined in select local joint tissues, biofluids and other biological material. However, considerable challenges exist in understanding contributions of obesity-associated modifications of transcriptomes and metabolomes related to OA, including sociodemographic, anthropometric, dietary and molecular redundancy-related factors.

Conclusions:

A number of additional transcriptomic and metabolomic studies are needed to comprehensively understand how obesity affects OA incidence, progression and outcomes. Integration of transcriptome and metabolome signatures from multiple tissues and biofluids, using network-based approaches will likely help to better define putative therapeutic targets that could enable precision medicine approaches to obese OA patients.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Osteoarthr Cartil Open Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Osteoarthr Cartil Open Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido