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Association of Amino Acid Metabolites With Osteoporosis, a Metabolomic Approach: Bushehr Elderly Health Program Publisher Pubmed



Panahi N1, 2 ; Fahimfar N3 ; Roshani S4, 5 ; Arjmand B6 ; Gharibzadeh S7 ; Shafiee G8 ; Migliavacca E9 ; Breuille D9 ; Feige JN9 ; Grzywinski Y10 ; Corthesy J10 ; Razi F11 ; Heshmat R8 ; Nabipour I12 Show All Authors
Authors
  1. Panahi N1, 2
  2. Fahimfar N3
  3. Roshani S4, 5
  4. Arjmand B6
  5. Gharibzadeh S7
  6. Shafiee G8
  7. Migliavacca E9
  8. Breuille D9
  9. Feige JN9
  10. Grzywinski Y10
  11. Corthesy J10
  12. Razi F11
  13. Heshmat R8
  14. Nabipour I12
  15. Farzadfar F4
  16. Soltani A13
  17. Larijani B2
  18. Ostovar A3
Show Affiliations
Authors Affiliations
  1. 1. Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. The Netherlands Cancer Institute, Amsterdam, Netherlands
  6. 6. Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Epidemiology and Biostatistics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
  8. 8. Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  9. 9. Nestle Institute of Health Sciences, Nestle Research, Lausanne, CH-1015, Switzerland
  10. 10. Institute of Food Safety and Analytical Science, Nestle Research, Lausanne, CH-1015, Switzerland
  11. 11. Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
  13. 13. Evidence-Based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Metabolomics Published:2022


Abstract

Introduction and objectives: Amino acids are the most frequently reported metabolites associated with low bone mineral density (BMD) in metabolomics studies. We aimed to evaluate the association between amino acid metabolic profile and bone indices in the elderly population. Methods: 400 individuals were randomly selected from 2384 elderly men and women over 60 years participating in the second stage of the Bushehr elderly health (BEH) program, a population-based prospective cohort study that is being conducted in Bushehr, a southern province of Iran. Frozen plasma samples were used to measure 29 amino acid and derivatives metabolites using the UPLC-MS/MS-based targeted metabolomics platform. We conducted Elastic net regression analysis to detect the metabolites associated with BMD of different sites and lumbar spine trabecular bone score, and also to examine the ability of the measured metabolites to differentiate osteoporosis. Results: We adjusted the analysis for possible confounders (age, BMI, diabetes, smoking, physical activity, vitamin D level, and sex). Valine, leucine, isoleucine, and alanine in women and tryptophan in men were the most important amino acids inversely associated with osteoporosis (OR range from 0.77 to 0.89). Sarcosine, followed by tyrosine, asparagine, alpha aminobutyric acid, and ADMA in women and glutamine in men and when both women and men were considered together were the most discriminating amino acids detected in individuals with osteoporosis (OR range from 1.15 to 1.31). Conclusion: We found several amino acid metabolites associated with possible bone status in elderly individuals. Further studies are required to evaluate the utility of these metabolites as clinical biomarkers for osteoporosis prediction and their effect on bone health as dietary supplements. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.