Application of Metabolomics to Study Osteoarticular Diseases

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Integrative Metabolomics".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 173

Special Issue Editor


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Guest Editor
Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional Ciudad de México, Mexico City, Mexico
Interests: metabolomics by NMR; bone tumors

Special Issue Information

Dear Colleagues,

Metabolomics is a snapshot of the small molecules (metabolites) in biological systems. Metabolites provide cells with energy, structural components, and materials for making DNA and proteins. The metabolomics approach can identify and measure metabolites in cell extracts, tissues, and biological fluids with minimal sample preparation and reduced data processing, making it a valuable tool for understanding biochemical processes in living systems.

Metabolomics has applications in clinical diagnostics, prognostics, and the discovery of biomarkers or evaluation of drug responses in various bone and joint pathologies. Techniques like nuclear magnetic resonance (NMR), mass spectrometry (MS) coupled with separation techniques such as liquid chromatography (LC), gas chromatography (GC), and supercritical fluid chromatography (SFC) have been successful in identifying key players in metabolic pathways in osteoarticular disorders such as osteoporosis, osteomalacia, Paget’s disease, osteomyelitis, rheumatoid arthritis, osteoarthritis, crystal arthropathies, septic arthritis, periprosthetic reactions, benign and malignant soft tissue and bone tumors, benign and malignant bone tumors.

This Special Issue aims to showcase recent and innovative studies using metabolomics in osteoarticular disorders. Contributions focusing on NMR, MS, or other techniques applied to bone, cartilage cells, tissues, and fluids are welcome. Moreover, this Special Issue also invites critical opinions, communications, and reviews.

Prof. Dr. Nury Pérez-Hernández
Guest Editor

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Keywords

  • metabolomics
  • nuclear magnetic resonance
  • mass spectrometry
  • osteoarticular diseases
  • dysregulated metabolism

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