Proteomic Biomarkers Associated with Low Bone Mineral Density: A Systematic Review

Author:

Becerra-Cervera Adriana12,Argoty-Pantoja Anna D.3,Aparicio-Bautista Diana I.1,López-Montoya Priscilla1,Rivera-Paredez Berenice3,Hidalgo-Bravo Alberto4ORCID,Velázquez-Cruz Rafael1ORCID

Affiliation:

1. Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico

2. National Council of Humanities, Science and Technology (CONAHCYT), Mexico City 03940, Mexico

3. Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico

4. Department of Genomic Medicine, National Institute of Rehabilitation, Mexico City 14389, Mexico

Abstract

Osteoporosis is a globally relevant public health issue. Our study aimed to summarize the knowledge on the proteomic biomarkers for low bone mineral density over the last years. We conducted a systematic review following the PRISMA guidelines; the scoured databases were PubMed, Web of Sciences, Scopus, and EBSCO, from inception to 2 June 2023. A total of 610 relevant studies were identified and 33 were assessed for eligibility. Finally, 29 studies met the criteria for this systematic review. The risk of bias was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist tool. From the studies selected, 154 proteins were associated with changes of bone mineral density, from which only 10 were reported in at least two articles. The protein–protein network analysis indicated potential biomarkers involved in the skeletal system, immune system process, regulation of protein metabolic process, regulation of signaling, transport, cellular component assembly, cell differentiation, hemostasis, and extracellular matrix organization. Mass spectrometry-based proteomic profiling has allowed the discovery of new biomarkers with diagnostic potential. However, it is necessary to compare and validate the potential biomarkers in different populations to determine their association with bone metabolism and evaluate their translation to the clinical management of osteoporosis.

Funder

Consejo Nacional de Humanidades, Ciencia y Tecnología

CONAHCYT

Instituto Nacional de Medicina Genomica

Publisher

MDPI AG

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