Abstract
Circulating sphingosine 1-phosphate (S1P) levels may be a biomarker for osteoporotic fracture (OF). This study assessed whether the addition of S1P levels to the fracture risk assessment tool (FRAX) could improve predictability of OF risk. Plasma S1P concentrations and FRAX variables were measured in 81 subjects with and 341 subjects without OF. S1P levels were higher in subjects with than those without OF (3.11 ± 0.13 μmol/L vs. 2.65 ± 0.61 μmol/L, P = 0.001). Higher S1P levels were associated with a higher likelihood of OF (odds ratio [OR] = 1.33, 95% confidence interval [CI] = 1.05–1.68), even after adjusting for FRAX probabilities. Compared with the lowest S1P tertile, subjects in the middle (OR = 3.37, 95% CI = 1.58–7.22) and highest (OR = 3.65, 95% CI = 1.66–8.03) S1P tertiles had higher rates of OF after adjustment. The addition of S1P levels to FRAX probabilities improved the area under the receiver-operating characteristics curve (AUC) for OF, from 0.708 to 0.769 (P = 0.013), as well as enhancing category-free net reclassification improvement (NRI = 0.504, 95% CI = 0.271–0.737, P < 0.001) and integrated discrimination improvement (IDI = 0.044, 95% CI = 0.022–0.065, P < 0.001). Adding S1P levels to FRAX probabilities especially in 222 subjects with osteopenia having a FRAX probability of 3.66–20.0% markedly improved the AUC for OF from 0.630 to 0.741 (P = 0.012), as well as significantly enhancing category-free NRI (0.571, 95% CI = 0.221–0.922, P = 0.001) and IDI (0.060, 95% CI = 0.023–0.097, P = 0.002). S1P is a consistent and significant risk factor of OF independent of FRAX, especially in subjects with osteopenia and low FRAX probability.
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Restrictions apply to the availability of data generated or analyzed during this study because they were used under license. The corresponding author will on request detail the restrictions and any conditions under which access to some data may be provided.
References
NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy (2001) Osteoporosis prevention, diagnosis, and therapy. JAMA 285:785–795. https://doi.org/10.1001/jama.285.6.785
Lee YK, Yoon BH, Koo KH (2013) Epidemiology of osteoporosis and osteoporotic fractures in South Korea. Endocrinol Metab (Seoul) 28:90–93. https://doi.org/10.3803/EnM.2013.28.2.90
Sattui SE, Saag KG (2014) Fracture mortality: associations with epidemiology and osteoporosis treatment. Nat Rev Endocrinol 10:592–602. https://doi.org/10.1038/nrendo.2014.125
Camacho PM, Petak SM, Binkley N, Clarke BL, Harris ST, Hurley DL, Kleerekoper M et al (2016) American Association of Clinical Endocrinologists and American College of Endocrinology Clinical Practice Guidelines for the diagnosis and treatment of postmenopausal osteoporosis—2016–executive summary. Endocr Pract 22:1111–1118. https://doi.org/10.4158/EP161435.ESGL
National Osteoporosis Foundation (2014) Clinician's guide to prevention and treatment of osteoporosis. National Osteoporosis Foundation, Washington, DC
Orimo H, Nakamura T, Hosoi T, Iki M, Uenishi K, Endo N, Ohta H et al (2012) Japanese 2011 guidelines for prevention and treatment of osteoporosis—executive summary. Arch Osteoporos 7:3–20. https://doi.org/10.1007/s11657-012-0109-9
Kanis JA, Harvey NC, Johansson H, Oden A, McCloskey EV, Leslie WD (2017) Overview of fracture prediction tools. J Clin Densitom 20:444–450. https://doi.org/10.1016/j.jocd.2017.06.013
Bolland MJ, Siu AT, Mason BH, Horne AM, Ames RW, Grey AB, Gamble GD et al (2011) Evaluation of the FRAX and Garvan fracture risk calculators in older women. J Bone Miner Res 26:420–427. https://doi.org/10.1002/jbmr.215
Hillier TA, Cauley JA, Rizzo JH, Pedula KL, Ensrud KE, Bauer DC, Lui LY et al (2011) WHO absolute fracture risk models (FRAX): do clinical risk factors improve fracture prediction in older women without osteoporosis? J Bone Miner Res 26:1774–1782. https://doi.org/10.1002/jbmr.372
Grey A, Chen Q, Callon K, Xu X, Reid IR, Cornish J (2002) The phospholipids sphingosine-1-phosphate and lysophosphatidic acid prevent apoptosis in osteoblastic cells via a signaling pathway involving G(i) proteins and phosphatidylinositol-3 kinase. Endocrinology 143:4755–4763. https://doi.org/10.1210/en.2002-220347
Grey A, Xu X, Hill B, Watson M, Callon K, Reid IR, Cornish J (2004) Osteoblastic cells express phospholipid receptors and phosphatases and proliferate in response to sphingosine-1-phosphate. Calcif Tissue Int 74:542–550. https://doi.org/10.1007/s00223-003-0155-9
Roelofsen T, Akkers R, Beumer W, Apotheker M, Steeghs I, van de Ven J, Gelderblom C et al (2008) Sphingosine-1-phosphate acts as a developmental stage specific inhibitor of platelet-derived growth factor-induced chemotaxis of osteoblasts. J Cell Biochem 105:1128–1138. https://doi.org/10.1002/jcb.21915
Ishii M, Egen JG, Klauschen F, Meier-Schellersheim M, Saeki Y, Vacher J, Proia RL et al (2009) Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis. Nature 458:524–528. https://doi.org/10.1038/nature07713
Ishii M, Kikuta J, Shimazu Y, Meier-Schellersheim M, Germain RN (2010) Chemorepulsion by blood S1P regulates osteoclast precursor mobilization and bone remodeling in vivo. J Exp Med 207:2793–2798. https://doi.org/10.1084/jem.20101474
Ryu J, Kim HJ, Chang EJ, Huang H, Banno Y, Kim HH (2006) Sphingosine 1-phosphate as a regulator of osteoclast differentiation and osteoclast-osteoblast coupling. EMBO J 25:5840–5851. https://doi.org/10.1038/sj.emboj.7601430
Bae SJ, Lee SH, Ahn SH, Kim HM, Kim BJ, Koh JM (2016) The circulating sphingosine-1-phosphate level predicts incident fracture in postmenopausal women: a 3.5-year follow-up observation study. Osteoporos Int 27:2533–2541. https://doi.org/10.1007/s00198-016-3565-z
Kim BJ, Koh JM, Lee SY, Lee YS, Lee SH, Lim KH, Cho EH et al (2012) Plasma sphingosine 1-phosphate levels and the risk of vertebral fracture in postmenopausal women. J Clin Endocrinol Metab 97:3807–3814. https://doi.org/10.1210/jc.2012-2346
Lee SH, Lee SY, Lee YS, Kim BJ, Lim KH, Cho EH, Kim SW et al (2012) Higher circulating sphingosine 1-phosphate levels are associated with lower bone mineral density and higher bone resorption marker in humans. J Clin Endocrinol Metab 97:E1421–1428. https://doi.org/10.1210/jc.2012-1044
Ardawi MM, Rouzi AA, Al-Senani NS, Qari MH, Elsamanoudy AZ, Mousa SA (2018) High plasma sphingosine 1-phosphate levels predict osteoporotic fractures in postmenopausal women: the center of excellence for osteoporosis research study. J Bone Metab 25:87–98. https://doi.org/10.11005/jbm.2018.25.2.87
Garnero P (2014) New developments in biological markers of bone metabolism in osteoporosis. Bone 66:46–55. https://doi.org/10.1016/j.bone.2014.05.016
Kiel D (1995) Assessing vertebral fractures. National osteoporosis foundation working group on vertebral fractures. J Bone Miner Res 10:518–523. https://doi.org/10.1002/jbmr.5650100403
Genant HK, Wu CY, van Kuijk C, Nevitt MC (1993) Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res 8:1137–1148. https://doi.org/10.1002/jbmr.5650080915
Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310
Perkins NJ, Schisterman EF (2005) The Youden Index and the optimal cut-point corrected for measurement error. Biom J 47:428–441. https://doi.org/10.1002/bimj.200410133
Lewis F, Butler A, Gilbert L (2011) A unified approach to model selection using the likelihood ratio test. Methods Ecol Evol 2:155–162. https://doi.org/10.1111/j.2041-210X.2010.00063.x
Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS (2008) Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 27:157–172. https://doi.org/10.1002/sim.2929(Discussion 207–212)
Pencina MJ, D'Agostino RB Sr, Steyerberg EW (2011) Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30:11–21. https://doi.org/10.1002/sim.4085
Cheung E, Cheung CL, Kung AW, Tan KC (2014) Possible FRAX-based intervention thresholds for a cohort of Chinese postmenopausal women. Osteoporos Int 25:1017–1023. https://doi.org/10.1007/s00198-013-2553-9
Su Y, Leung J, Hans D, Lamy O, Kwok T (2017) The added value of trabecular bone score to FRAX® to predict major osteoporotic fractures for clinical use in Chinese older people: the Mr. OS and Ms. OS cohort study in Hong Kong. Osteoporos Int 28:111–117. https://doi.org/10.1007/s00198-016-3741-1
Kanis JA, Hans D, Cooper C, Baim S, Bilezikian JP, Binkley N, Cauley JA et al (2011) Interpretation and use of FRAX in clinical practice. Osteoporos Int 22:2395–2411. https://doi.org/10.1007/s00198-011-1713-z
Maceyka M, Harikumar KB, Milstien S, Spiegel S (2012) Sphingosine-1-phosphate signaling and its role in disease. Trends Cell Biol 22:50–60. https://doi.org/10.1016/j.tcb.2011.09.003
Rosen H, Goetzl EJ (2005) Sphingosine 1-phosphate and its receptors: an autocrine and paracrine network. Nat Rev Immunol 5:560–570. https://doi.org/10.1038/nri1650
Kunkel GT, Maceyka M, Milstien S, Spiegel S (2013) Targeting the sphingosine-1-phosphate axis in cancer, inflammation and beyond. Nat Rev Drug Discov 12:688–702. https://doi.org/10.1038/nrd4099
Soysal P, Stubbs B, Lucato P, Luchini C, Solmi M, Peluso R, Sergi G et al (2016) Inflammation and frailty in the elderly: a systematic review and meta-analysis. Ageing Res Rev 31:1–8. https://doi.org/10.1016/j.arr.2016.08.006
Kanis JA, McCloskey EV, Johansson H, Strom O, Borgstrom F, Oden A, National Osteoporosis Guideline Group (2008) Case finding for the management of osteoporosis with FRAX—assessment and intervention thresholds for the UK. Osteoporos Int 19:1395–1408. https://doi.org/10.1007/s00198-008-0712-1
Briot K, Cortet B, Thomas T, Audran M, Blain H, Breuil V, Chapuis L et al (2012) 2012 update of French guidelines for the pharmacological treatment of postmenopausal osteoporosis. Joint Bone Spine 79:304–313. https://doi.org/10.1016/j.jbspin.2012.02.014
Kanis JA, McCloskey EV, Johansson H, Cooper C, Rizzoli R, Reginster JY, Scientific Advisory Board of the European Society for Clinical, and Economic Aspects of Osteoporosis, and Osteoarthritis (ESCEO), and the Committee of Scientific Advisors of the International Osteoporosis Foundation (IOF) (2013) European guidance for the diagnosis and management of osteoporosis in postmenopausal women. Osteoporos Int 24:23–57. https://doi.org/10.1007/s00198-012-2074-y
Funding
This study was supported by grants from the Asan Institute for Life Sciences, Seoul, Republic of Korea (Project No. 2019IP0862) and from the Korea Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (Project No. HI15C2792). The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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SHL and J-MK contributed to the conception and design of study. Material preparation and data collection were performed by SHL, JYL, K-HL, Y-SL, S-HK, SC, S-HC, and J-MK. Analysis and interpretation of data were performed by SHL and J-MK. The first draft of the manuscript was written by SHL and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Seong-Hee Kim, Sooyoung Choi, and Seong-Hwan Cho have patents registered in Korea (KR 10-1486368) and patent applications in the USA (US 15/927,459) for sphingosine-1-phosphate. They provided the S1P ELISA kits, but were not involved in the design and conduct of the study (i.e. the management, analysis, and interpretation of the data). Seung Hun Lee, Jee Yang Lee, Kyeong-Hye Lim, Young-Sun Lee, and Jung-Min Koh state that they have no conflicts of interest.
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Lee, S.H., Lee, J.Y., Lim, KH. et al. High Circulating Sphingosine 1-Phosphate is a Risk Factor for Osteoporotic Fracture Independent of Fracture Risk Assessment Tool. Calcif Tissue Int 107, 362–370 (2020). https://doi.org/10.1007/s00223-020-00731-1
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DOI: https://doi.org/10.1007/s00223-020-00731-1