[en] Background Bone turnover markers (BTMs) are increasingly used to assess bone remodeling and to monitor osteoporosis treatment. However, reference intervals remain largely undefined for African populations, limiting their clinical utility in these settings. Methods We established reference intervals for intact procollagen type I N-propeptide (iPINP) and C-terminal telopeptide of type I collagen (β-CTX-I) in a rigorously selected cohort of healthy adult Black African blood donors from Côte d'Ivoire. Participants were screened for factors affecting bone metabolism, including kidney function, vitamin D status, and infectious diseases. Serum samples were processed under standardized conditions and analyzed using the IDS iSYS platform. Reference intervals were determined according to the CLSI C28-A3 guideline using the bootstrap non-parametric method, complemented by a Box-Cox transformation to verify robustness. The Bone Balance Index (BBI), defined as the standardized difference between observed and expected β-CTX-I based on IPINP, was also explored in women >45 years. Results In men ( n = 90), β-CTX-I concentrations showed reference interval of 181–610 ng/L (90 % CI: 168–196 / 480–745), and in women ≤45 years ( n = 86), 167–378 ng/L (90 % CI: 166–166 / 343–413). For iPINP, the corresponding reference intervals were 30–169 μg/L (90 % CI: 19–41 / 151–187) in men and 28–142 μg/L (90 % CI: 24–33 / 107–176) in women ≤45 years. Box–Cox–based intervals were comparable, confirming the robustness of the bootstrap results. Compared to published data in non-African populations, β-CTX-I values were generally lower, while iPINP values, particularly in men, tended to be higher. Among 27 women > 45 years, BBI values ranged from −1.36 to +8.59, with a median of 0.13; 20 (74 %) showed BBI > 0, suggesting a predominance of resorption, while 2 (7 %) had BBI < −1. Conclusions This study provides the first rigorously derived reference intervals for β-CTX-I and iPINP in a sub-Saharan African population, enabling more accurate interpretation of BTMs in African clinical contexts. The BBI may further help characterize bone remodeling balance at the individual level, though its clinical significance warrants further study.
Disciplines :
Laboratory medicine & medical technology
Author, co-author :
Cavalier, Etienne ; Université de Liège - ULiège > Département de pharmacie > Chimie médicale
Morel Kouakou, Kadio A.; Laboratory, SAMU, Abidjan, Cote d'Ivoire ; Biochemistry Laboratory, Faculty of Pharmacy, University Félix Houphouët Boigny of Abidjan, Cote d'Ivoire
LUKAS, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > > Service de chimie clinique
Yao-Yapo, Carine Mireille; Laboratory, SAMU, Abidjan, Cote d'Ivoire ; Biochemistry Laboratory, Faculty of Pharmacy, University Félix Houphouët Boigny of Abidjan, Cote d'Ivoire
Delanaye, Pierre ; Université de Liège - ULiège > Département des sciences cliniques > Néphrologie
Yayo, Eric Sagou; Laboratory, SAMU, Abidjan, Cote d'Ivoire ; Biochemistry Laboratory, Faculty of Pharmacy, University Félix Houphouët Boigny of Abidjan, Cote d'Ivoire
Language :
English
Title :
Population-based reference intervals for bone turnover markers in black African adults and initial assessment of the Bone Balance Index
G. Adami, A. Fassio, D. Gatti, O. Viapiana, C. Benini, M.I. Danila, K.G. Saag, M. Rossini, Osteoporosis in 10 years time: a glimpse into the future of osteoporosis, Ther Adv Musculoskelet Dis 14 (2022) 1759720X221083541. doi:10.1177/1759720X221083541.
T.D. Rachner, S. Khosla, L.C. Hofbauer, Osteoporosis: now and the future, Lancet 377 (2011) 1276–1287. doi:10.1016/S0140-6736(10)62349-5.
E. Hernlund, A. Svedbom, M. Ivergård, J. Compston, C. Cooper, J. Stenmark, E.V. McCloskey, B. Jönsson, J.A. Kanis, Osteoporosis in the European Union: medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA), Arch Osteoporos 8 (2013) 136. doi:10.1007/s11657-013-0136-1.
F.F. Lyu, V. Ramoo, P.L. Chui, C.G. Ng, Y. Zhang, Prevalence rate of primary osteoporosis in China: a meta-analysis, BMC Public Health 24 (2024) 1518. doi:10.1186/s12889-024-18932-w.
K.A. Ward, C.M. Pearse, T. Madanhire, A.N. Wade, J. Fabian, L.K. Micklesfield, C.L. Gregson, Disparities in the Prevalence of Osteoporosis and Osteopenia in Men and Women Living in Sub-Saharan Africa, the UK, and the USA, Curr Osteoporos Rep 21 (2023) 360–371. doi:10.1007/s11914-023-00801-x.
P.-L. Xiao, A.-Y. Cui, C.-J. Hsu, R. Peng, N. Jiang, X.-H. Xu, Y.-G. Ma, D. Liu, H.-D. Lu, Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis, Osteoporos Int 33 (2022) 2137–2153. doi:10.1007/s00198-022-06454-3.
N.H. Bell, J. Shary, J. Stevens, M. Garza, L. Gordon, J. Edwards, Demonstration that bone mass is greater in black than in white children, J Bone Miner Res 6 (1991) 719–723. doi:10.1002/jbmr.5650060709.
M. Conradie, M.M. Conradie, A.T. Scher, M. Kidd, S. Hough, Vertebral fracture prevalence in black and white South African women, Arch Osteoporos 10 (2015) 1. doi:10.1007/s11657-015-0203-x.
C.L. Gregson, B. Cassim, L.K. Micklesfield, M. Lukhele, R.A. Ferrand, K.A. Ward, SAMSON Collaborative Working Group, Fragility fractures in sub-Saharan Africa: time to break the myth, Lancet Glob Health 7 (2019) e26–e27. doi:10.1016/S2214-109X(18)30412-1.
F. Paruk, M. Tsabasvi, A.A. Kalla, Osteoporosis in Africa—where are we now, Clin Rheumatol 40 (2021) 3419–3428. doi:10.1007/s10067-020-05335-6.
A. Nicholas, K. Alare, M. AbdulBasit Opeyemi, A. Oluwatosin, The outlook of rheumatological care in Africa: Current state, challenges, and recommendation, Ann Med Surg (Lond) 82 (2022) 104689. doi:10.1016/j.amsu.2022.104689.
E. Cavalier, P. Bergmann, O. Bruyère, P. Delanaye, A. Durnez, J.-P. Devogelaer, S.L. Ferrari, E. Gielen, S. Goemaere, J.-M. Kaufman, A.N. Toukap, J.-Y. Reginster, A.-F. Rousseau, S. Rozenberg, A.J. Scheen, J.-J. Body, The role of biochemical of bone turnover markers in osteoporosis and metabolic bone disease: a consensus paper of the Belgian Bone Club, Osteoporos Int 27 (2016) 2181–2195. doi:10.1007/s00198-016-3561-3.
P. Garnero, P.D. Delmas, Contribution of bone mineral density and bone turnover markers to the estimation of risk of osteoporotic fracture in postmenopausal women, J Musculoskelet Neuronal Interact 4 (2004) 50–63.
H. Johansson, A. Odén, J.A. Kanis, E.V. McCloskey, H.A. Morris, C. Cooper, S. Vasikaran, IFCC-IOF Joint Working Group on Standardisation of Biochemical Markers of Bone Turnover, A meta-analysis of reference markers of bone turnover for prediction of fracture, Calcif Tissue Int 94 (2014) 560–567. doi:10.1007/s00223-014-9842-y.
K.E. Naylor, R.M. Jacques, M. Paggiosi, F. Gossiel, N.F.A. Peel, E.V. McCloskey, J.S. Walsh, R. Eastell, Response of bone turnover markers to three oral bisphosphonate therapies in postmenopausal osteoporosis: the TRIO study, Osteoporos Int 27 (2016) 21–31. doi:10.1007/s00198-015-3145-7.
S.D. Vasikaran, M. Miura, R. Pikner, H.P. Bhattoa, E. Cavalier, the IOF-IFCC Joint Committee on Bone Metabolism (C-BM), Practical Considerations for the Clinical Application of Bone Turnover Markers in Osteoporosis, Calcif Tissue Int 112 (2023) 148–157. doi:10.1007/s00223-021-00930-4.
E. Cavalier, P. Lukas, M. Bottani, A.K. Aarsand, F. Ceriotti, A. Coşkun, J. Díaz-Garzón, P. Fernàndez-Calle, E. Guerra, M. Locatelli, S. Sandberg, A. Carobene, European Biological Variation Study (EuBIVAS): within- and between-subject biological variation estimates of β-isomerized C-terminal telopeptide of type I collagen (β-CTX), N-terminal propeptide of type I collagen (PINP), osteocalcin, intact fibroblast growth factor 23 and uncarboxylated-unphosphorylated matrix-Gla protein—a cooperation between the EFLM Working Group on Biological Variation and the International Osteoporosis Foundation-International Federation of Clinical Chemistry Committee on Bone Metabolism, Osteoporos Int 31 (2020) 1461–1470. doi:10.1007/s00198-020-05362-8.
H.P. Bhattoa, S. Vasikaran, I. Trifonidi, G. Kapoula, G. Lombardi, N.R. Jørgensen, R. Pikner, M. Miura, R. Chapurlat, M. Hiligsmann, M. Haarhaus, P. Evenepoel, H.S. Jørgensen, M. Herrmann, J.-M. Kaufman, P. Clark, Ş. Tuzun, N. Al-Daghri, S. Silverman, M.S. Alokail, S. Ormarsdóttir, M.C.P. Yerro, R. Matijevic, A. Laslop, M.M.C. da Silva Rosa, L. Zakraoui, N. Burlet, E. McCloskey, N.C. Harvey, R.P. Radermecker, M. Fusaro, C. Torre, J.A. Kanis, R. Rizzoli, J.-Y. Reginster, K. Makris, E. Cavalier, Update on the role of bone turnover markers in the diagnosis and management of osteoporosis: a consensus paper from The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO), International Osteoporosis Foundation (IOF), and International Federation of Clinical Chemistry and Laboratory Medicine (IFCC), Osteoporos Int 36 (2025) 579–608. doi:10.1007/s00198-025-07422-3.
S. Vasikaran, C. Cooper, R. Eastell, A. Griesmacher, H.A. Morris, T. Trenti, J.A. Kanis, International Osteoporosis Foundation and International Federation of Clinical Chemistry and Laboratory Medicine position on bone marker standards in osteoporosis, Clin Chem Lab Med 49 (2011) 1271–1274. doi:10.1515/CCLM.2011.602.
A. Shieh, A.S. Karlamangla, F. Gossiel, R. Eastell, S.-A. Burnett-Bowie, G.A. Greendale, Estimating Net Bone Formation Relative to Resorption Using Reference Bone Turnover Markers, J Clin Endocrinol Metab 110 (2025) e2544–e2552. doi:10.1210/clinem/dgae842.
R. Hannon, R. Eastell, Preanalytical variability of biochemical markers of bone turnover, Osteoporos Int 11 Suppl 6 (2000) S30-44. doi:10.1007/s001980070004.
H.P. Bhattoa, E. Cavalier, R. Eastell, A.C. Heijboer, N.R. Jørgensen, K. Makris, C.Z. Ulmer, J.A. Kanis, C. Cooper, S.L. Silverman, S.D. Vasikaran, Analytical considerations and plans to standardize or harmonize assays for the reference bone turnover markers PINP and β-CTX in blood, Clinica Chimica Acta 515 (2021) 16–20. doi:10.1016/j.cca.2020.12.023.
E. Cavalier, E. Sagou Yayo, M.-L. Attoungbre-Hauhouot, J.-L. Konan, C. Yao-Yapo, D. Monnet, A. Gnionsahé, J.-C. Souberbielle, P. Delanaye, Vitamin D, bone alkaline phosphatase and parathyroid hormone in healthy subjects and haemodialysed patients from West Africa: impact of reference ranges and parathyroid hormone generation assays on the KDIGO guidelines, Clin Kidney J 12 (2019) 288–293. doi:10.1093/ckj/sfy074.
G. El-Hajj Fuleihan, G. Adib, N. Itani, L. Nauroy, A. Arabi, R. Baddoura, The Middle-East & Africa Regional audit, Osteoporosis Int 22 (2011) S677–S678.
J.-C. Souberbielle, C. Cormier, Exploration biologique des ostéoporoses, J. Soc. Biol. 202 (2008) 275–280. doi:10.1051/jbio:2008031.
N.R. Jørgensen, L.T. Møllehave, Y.B.L. Hansen, N. Quardon, Comparison of two automated assays of BTM ( CTX and P1NP ) and reference intervals in a Danish population, Osteoporosis International 28 (2017) 2103–2113. doi:10.1007/s00198-017-4026-z.
R. Tan, S. Thambiah, T. Loh, S. Vasikaran, S. Swan, S. Yeap, Reference intervals for CTX and P1NP in a multi-ethnic Malaysian cohort, The Malaysian Journal of Pathology 45 (2024) 391–396.
S.D. Vasikaran, S.P. Chubb, P.R. Ebeling, N. Jenkins, G.R. Jones, M.A. Kotowicz, H.A. Morris, H.-G. Schneider, M.J. Seibel, G. Ward, Harmonised Australian Reference Intervals for Serum PINP and CTX in Adults, Clin Biochem Rev 35 (2014) 237–242.
J. Henny, Établissement et validation des intervalles de référence au laboratoire de biologie médicale, Annales de Biologie Clinique 69 (2011) 229–237. doi:10.1684/abc.2011.0537.
R. Lambert, Méthodes statistiques non-paramétriques, (1955). doi:10.3406/bupsy.1955.6503.
P. Brouwers, É. Cavalier, Utilité clinique des marqueurs du remodelage osseux dans la prise en charge de l'’ostéoporose, de l'’ostéoporose associée aux maladies rénales chroniques et du diabète, Revue Francophone Des Laboratoires 2025 (2025) 46–52. doi:10.1016/S1773-035X(25)76301-7.