Serum glycine levels are associated with cortical bone properties and fractures risk in men.

CONTEXT In a recent study a pattern of 27 metabolites, including serum glycine, associated with bone mineral density (BMD). OBJECTIVE To investigate associations for serum and urinary glycine levels with BMD, bone microstructure and fracture risk in men. METHODS In the population based MrOS Sweden study (men, 69-81 years) serum glycine and BMD were measured at baseline (n=965) and 5-year follow up (n=546). Cortical and trabecular bone parameters of the distal tibia were measured at follow-up using high resolution peripheral quantitative computed tomography. Urinary (n=2,682) glycine was analyzed at baseline. X-ray validated fractures (n=594) were ascertained during a median follow-up of 9.6 years. Associations were evaluated using linear regression (bone parameters) or Cox regression (fractures). RESULTS Circulating glycine levels were inversely associated with femoral neck (FN)-BMD. A meta-analysis (n=7,543) combining MrOS Sweden data with data from three other cohorts confirmed a robust inverse association between serum glycine levels and FN-BMD (p=7.7 x 10 -9). Serum glycine was inversely associated with the bone strength parameter failure load in the distal tibia (p=0.002), mainly as a consequence of an inverse association with cortical cross-sectional area and a direct association with cortical porosity. Both serum and urinary glycine levels predicted major osteoporotic fractures (serum, HR per SD increase = 1.20, 95% CI 1.03-1.40; urine HR=1.13, 95% CI 1.02-1.24). These fracture associations were only marginally reduced in models adjusted for FRAX with BMD. CONCLUSIONS Serum and urinary glycine are indirectly associated with FN-BMD and cortical bone strength, and directly associated with fracture risk in men.

[1]  D. Kiel,et al.  Metabolomics Insights into Osteoporosis Through Association With Bone Mineral Density , 2021, medRxiv.

[2]  Guoyao Wu,et al.  Metabolism, Nutrition, and Redox Signaling of Hydroxyproline. , 2019, Antioxidants & redox signaling.

[3]  Bert Van Rietbergen,et al.  Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study. , 2019, The lancet. Diabetes & endocrinology.

[4]  S. Ring,et al.  Proof of concept for quantitative urine NMR metabolomics pipeline for large-scale epidemiology and genetics , 2018, bioRxiv.

[5]  T. Spector,et al.  Metabolomic Pathways to Osteoporosis in Middle‐Aged Women: A Genome‐Metabolome‐Wide Mendelian Randomization Study , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[6]  D. Mellström,et al.  Cortical Bone Area Predicts Incident Fractures Independently of Areal Bone Mineral Density in Older Men , 2016, The Journal of clinical endocrinology and metabolism.

[7]  Maik Pietzner,et al.  Quality assurance in the pre-analytical phase of human urine samples by (1)H NMR spectroscopy. , 2016, Archives of biochemistry and biophysics.

[8]  Christian Gieger,et al.  Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality , 2015, PLoS genetics.

[9]  Pasi Soininen,et al.  Quantitative serum nuclear magnetic resonance metabolomics in cardiovascular epidemiology and genetics. , 2015, Circulation. Cardiovascular genetics.

[10]  Guoyao Wu,et al.  Glycine metabolism in animals and humans: implications for nutrition and health , 2013, Amino Acids.

[11]  Joel Eriksson,et al.  Genetic Determinants of Trabecular and Cortical Volumetric Bone Mineral Densities and Bone Microstructure , 2013, PLoS genetics.

[12]  R. Eastell,et al.  Bone turnover markers: use in osteoporosis , 2012, Nature Reviews Rheumatology.

[13]  David M. Evans,et al.  WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk , 2012, PLoS genetics.

[14]  Xi-jun Wang,et al.  Urine metabolomics. , 2012, Clinica chimica acta; international journal of clinical chemistry.

[15]  L. Melton,et al.  The Unitary Model for Estrogen Deficiency and the Pathogenesis of Osteoporosis: Is a Revision Needed? , 2010, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[16]  M. Thorén,et al.  Associations between amino acids and bone mineral density in men with idiopathic osteoporosis. , 2010, Bone.

[17]  Sharmila Majumdar,et al.  Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. , 2010, Bone.

[18]  Steven K Boyd,et al.  Improved reproducibility of high-resolution peripheral quantitative computed tomography for measurement of bone quality. , 2008, Medical engineering & physics.

[19]  O. Johnell,et al.  FRAX™ and the assessment of fracture probability in men and women from the UK , 2008, Osteoporosis International.

[20]  Jacques P. Brown,et al.  The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women , 2007, Osteoporosis International.

[21]  O. Johnell,et al.  Free Testosterone is an Independent Predictor of BMD and Prevalent Fractures in Elderly Men: MrOS Sweden , 2006, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[22]  L. Cynober Plasma amino acid levels with a note on membrane transport: characteristics, regulation, and metabolic significance. , 2002, Nutrition.

[23]  F. Eckstein,et al.  Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images. , 2002, Bone.

[24]  P. Rüegsegger,et al.  In vivo high resolution 3D-QCT of the human forearm. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.

[25]  R. Huiskes,et al.  A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models. , 1995, Journal of biomechanics.

[26]  J. Brosnan,et al.  Hydroxyproline metabolism by the rat kidney: distribution of renal enzymes of hydroxyproline catabolism and renal conversion of hydroxyproline to glycine and serine. , 1985, Metabolism: clinical and experimental.