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The Bone Biomarker Response to an Acute Bout of Exercise

A Systematic Review with Meta-Analysis

##article.authors##

  • Eimear Dolan University of Sao Paulo
  • Alina Dumas
  • Karen M. Keane
  • Giulia C. Bestetti
  • Luisa HM Freitas
  • Bruno Gualano
  • Wendy M. Kohrt
  • George A. Kelley
  • Rosa M.R. Pereira
  • Craig Sale
  • Paul A. Swinton

DOI:

https://doi.org/10.51224/SRXIV.115

Keywords:

exercise, bone, loading, remodeling, resorption, formation, meta-analysis, systematic review

Abstract

Circulating biomarkers are used to investigate the bone response to an acute bout of exercise, but heterogeneity in factors such as study design, quality, selected biomarkers and exercise and participant characteristics render it difficult to synthesize and evaluate available evidence. PURPOSE: To quantify the effects of an acute exercise bout on bone biomarkers, along with the influence of potential moderators such as participant, exercise and design characteristics, using a systematic review and meta-analytic approach. METHODS: The protocol was designed in accordance with PRISMA-P guidelines and prospectively published [1]. Seven databases were systematically searched in accordance with pre-defined eligibility criteria. Bayesian three-level hierarchical meta-analysis models were used to explore main effects of acute exercise on bone biomarkers, as well as potential moderating factors. Risk of bias for each individual study was evaluated using a modified version of the Downs and Black checklist, while certainty in each meta-analytic outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Modelled effect sizes were interpreted according to three metrics including: A) Evidence of an effect (defined by whether, or how much of, the CrI included zero); B) The size of that effect (defined by standard categories, namely threshold values of 0.01, 0.2, 0.5 and 0.8 were used to describe effect sizes as very small, small, medium and large, respectively); and C) The level of certainty in the estimated effect (defined using the GRADE framework). RESULTS: Across all designs and categories, a very small effect of exercise on markers of bone resorption (ES0.5=0.10 [95%CrI: 0.00 to 0.21] and formation (ES0.5=0.06 [95%CrI: 0.02 to 0.09] was found. Moderator analyses indicated that exercise type and impact loading influenced results, with a large effect identified for the bone resorption marker CTX-1 in response to long-duration cycling (ES0.5=0.86 [95%CrI: 0.31 to 1.4]). The largest increases in CTX-1 occurred within 2 hours of exercise cessation. Exercise duration, intensity, and total work performed were also found to influence the bone biomarker response, albeit to a smaller degree. Certainty of evidence in most outcomes was deemed to be low or very low. CONCLUSION: Markers of bone resorption were most responsive to exercise and this was strongly influenced by exercise type and duration. Long-duration cycling induced a large effect on the resorption marker CTX-1, while other exercise types did not induce a response. All effects related to bone formation markers were very small and transient, calling into question the veracity and physiological relevance of these findings. The lack of a response to resistance or high impact exercise types indicate that these biomarkers may be more useful at investigating potentially osteolytic aspects of exercise, rather than its osteogenic potential. Certainty in all outcomes was low or very low, due to factors including risk of bias, lack of non-exercise controls, inconsistency, imprecision and small-study effects. Better control and standardization of future studies is required to increase certainty in results, and thus to advance understanding of the acute influence of exercise on bone.

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References

Dolan E, Dumas A, Keane K, Bestetti G, Freitas L, Gualano B, et al. The influence of acute exercise on bone biomarkers: protocol for a systematic review with meta-analysis. Syst Rev. 2020;9:291.

Bass S, Eser P, Daly R. The effect of exercise and nutrition on the mechanostat. J Musculoskelet Neuronal Interact. 2005;5:239–54.

Frost H. A 2003 update of bone physiology and Wolff’s Law for clinicians. Angle Orthod. 2004;74:3–15.

Robling AG, Castillo AB, Turner CH. Biomechanical and molecular regulation of bone remodeling. Annu Rev Biomed Eng. 2006;8:455–98.

Orr A, Helmke B, Blackman B, Schwartz M. Mechanisms of mechanostransduction. Dev Cell. 2006;10:11–20.

Kohrt W, Wherry S, Wolfe P, Sherk D, Wellington T, Swanson C, et al. Maintenance of serum ionized calcium during exercise attenuates parathyroid hormone and bone resorption responses. J Bone Miner Res. 2018;33:1326–34.

Ha H, Bok Kwak H, Woong Lee S, Mi Jin H, Kim HM, Kim HH, et al. Reactive oxygen species mediate RANK signaling in osteoclasts. Exp Cell Res. 2004;301:119–27.

Krieger NS, Frick KK, Bushinsky DA. Mechanism of acid-induced bone resorption. Curr Opin Nephrol Hypertens. 2004;13:423–36.

Tagliaferri C, Wittrand Y, Davicco M, Walrand S, Coxam V. Muscle and bone, two interconnected tissues. Ageing Res Rev. 2015;21:55–70.

Bennell KL, Malcolm SA, Khan KM, Thomas SA, Reid SJ, Brukner PD, et al. Bone mass and bone turnover in power athletes, endurance athletes, and controls. Bone. 1997;20:477–84.

Andreoli A, Monteleone M, Van Loan M, Promenzio L, Tarantino U, De Lorenzo A. Effects of different sports on bone density and muscle mass in highly trained athletes. Med Sci Sport Exerc. 2001;33:507–11.

Fredericson M, Chew K, Ngo J, Cleek T, Kiratli J, Cobb K. Regional bone mineral density in male athletes: A comparison of soccer players, runners and controls. Br J Sports Med. 2007;41:664–8.

Heinonen A, Oja P, Kannus P, Sievanen H, Manttari A, Vuori I. Bone mineral density of female athletes in different sports. Bone Miner. 1993;23:1–14.

Matsumoto T, Nakagawa S, Nishida S, Hirota R. Bone density and bone metabolic markers in active collegiate athletes: findings in long-distance runners, judoists, and swimmers. Int J Sports Med. 1997;18:408–12.

Schipilow J, MacDonald H, Liphardt A, Kan M, Boyd S. Bone micro-architecture, estimated bone strength, and the muscle-bone interaction in elite athletes: An HR-pQCT study. Bone. 2013;56:281–9.

Turner CH, Robling AG. Designing exercise regimens to increase bone strength. / T. Exerc Sport Sci Rev. 2003;31:45–50.

Beck B, Daly R, Fiatarone Singh M, Taaffe DR. Exercise and Sports Science Australia (ESSA) position statement on exercise prescription for the prevention and management of osteoporosis. J Sci Med Sport. 2017;20:438–45.

National Osteoporosis Society. Strong, Steady, Straight. An expert consensus statment on physical activity and exercise for osteoporosis. 2019.

Kelley G, Kelley K, Kohrt W. Exercise and bone mineral density in premenopausal women: A meta-analysis of randomized controlled trials. Int J Endocrinol. 2013;741639.

Howe T, Shea B, Dawson L, Downie F, Murry A, Ross C, et al. Exercise for preventing and treating osteoporosis in postmenopausal women. Cochrane Database Syst Rev. 2011;6:CD000333.

Marques E, Mota J, Carvalho J. Exercise effects on bone mineral density in older adults: A meta-analysis of randomized controlled trials. Age (Omaha). 2012;34:1493–515.

Hagen K, Dagfinrud H, Moe R, Osteras N, Kjeken I, Grotle M, et al. Exercise therapy for bone and muscle health: An overview of systematic reviews. BMC Med. 2012;10:167.

Hind K, Burrows M. Weight-bearing exercise and bone mineral accrual in children and adolescents: A review of controlled trials. Bone. 2007;40:14–27.

Olmedillas H, Gonzalez-Aquero A, Moreno L, Casajus J, Vicente-Rodríguez G. Cycling and bone health: A systematic review. BMC Med. 2012;10:168.

Scofield K, Hecht S. Bone health in endurance athletes: runners, cyclists, and swimmers. Curr Sports Med Rep. 2012;11:328–34.

Dolan E, McGoldrick A, Davenport C, Kelleher G, Byrne B, Tormey W, et al. An altered hormonal profile and elevated rate of bone loss are associated with low bone mass in professional horse-racing jockeys. J Bone Miner Metab. 2012;30:534–42.

Ackerman K, Nazem T, Chapko D, Russell M, Mendes N, Taylor A, et al. Bone microarchitecture is impaired in adolescent amenorrheic athletes compared with eumenorrheic athletes and nonathletic controls. J Clin Endocrinol Metab. 2011;96:3123–33.

Wherry S, Swanson C, Kohrt W. Acute catabolic bone response to exercise in young and old adults: A narrative review. Exp Gerontol. 2022;157:111633.

Eriksen E. Cellular mechanisms of bone remodeling. Rev Endocr Metab Disord. 2010;11:219–27.

Vasikaran SD, Paul Chubb SA. The use of biochemical markers of bone turnover in the clinical management of primary and secondary osteoporosis. Endocrine. 2016;52:222–5.

Chubb SAP, Byrnes E, Manning L, Golledge J, Ebeling PR, Flicker L, et al. Bone turnover markers: Defining a therapeutic target. Clin Biochem. 2017;50:162–3.

Bauer D, Krege J, Lane N, Leary E, Libanati C, Miller P, et al. National Bone Health Alliance Bone Turnover Marker Project: Current practices and the need for US harmonization, standardization, and common reference ranges. Osteoporos Int. 2012;23:2425–33.

Dolan E, Varley I, Ackerman K, Pereira R, Elliott-Sale K, Sale C. The bone metabolic response to exercise and nutrition. Exerc Sport Sci Rev. 2020;48:49–58.

Barry DW, Hansen KC, Van Pelt RE, Witten M, Wolfe P, Kohrt WM. Acute calcium ingestion attenuates exercise-induced disruption of calcium homeostasis. Med Sci Sports Exerc. 2011;43:617–23.

Guillemant J, Accarie C, Peres G, Guillemant S. Acute effects of an oral calcium load on markers of bone metabolism during endurance cycling exercise in male athletes. Calcif Tissue Int. 2004;74:407–14.

Scott JPR, Sale C, Greeves JP, Casey A, Dutton J, Fraser WD. Effect of fasting versus feeding on the bone metabolic response to running. Bone. 2012;51:990–9.

Rantalainen T, Heinonen A, Linnamo V, Komi P, Takala T, Kainulainen H. Short-term bone biochemical response to a single bout of high-impact exercise. J Sport Sci Med. 2009;8:553–9.

Scott JPR, Sale C, Greeves JP, Casey A, Dutton J, Fraser WD, et al. The role of exercise intensity in the bone metabolic response to an acute bout of weight-bearing exercise. 2011;423–32.

Bowtell JL, Jackman SR, Scott S, Connolly LJ, Mohr M, Ermidis G, et al. Short duration small sided football and to a lesser extent whole body vibration exercise induce acute changes in markers of bone turnover. Biomed Res Int. 2016;2016:3574258.

Smith C, Tacey A, Mesinovic J, Scott D, Lin X, Brennan-Speranza T, et al. The effects of acute exercise on bone turnover markers in middle-aged and older adults: A systematic review. Bone. 2021;143:115766.

Page M, McKenzie J, Bossuyt P, Boutron I, Hoffman T, Mulrow C, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Br Med J. 2021;372:71.

Szulc P, Naylor K, Hoyle N, Eastell R, Leary E. Use of CTX-I and PINP as bone turnover markers: National Bone Health Alliance recommendations to standardize sample handling and patient preparation to reduce pre analytical variability. Osteoporos Int. 2017;28:2541–56.

Banfi G, Lombardi G, Colombini A, Lippi G. Bone metabolism markers in sports medicine. Sport Med. 2010;40:697–714.

Alp A. Bone-specific alkaline phosphatase and exercise. In: Preedy V, editor. Biomarkers Bone Dis Biomarkers Dis Methods, Discov Appl. Dordrecht: Springer; 2015.

Lefebvre C, Glanville J, Briscoe S, Littlewood A, Marshall C, Metzendorf M, et al. Searching and Selecting Studies. In: Higging J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al., editors. Cochrane Handb Syst Rev Interv. Version 6. Cochrane; 2020.

McGowan J, Sampson M, Salzwedel D, Cogo E, Foerster V, Lefebvre C. PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement. J Clin Epidemiol. 2016;75:40–6.

Berlin J. Does blinding of readers affect the results of meta-analyses? University of Pennsylvania Meta-analysis Blinding Study Group. Lancet. 1997;350:185–6.

Kruschke J, Liddelll T. The Bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychon Bull Rev. 2018;25:178–206.

Morris S. Estimating effect sizes from pretest-posttest- control group designs. Organ Res Methods. 2008;11:364–86.

Sawilowsky S. New effect size rules of thumb. J Mod Appl Stat Methods. 2009;8:26.

Fu R, Gartlehner G, Grant M, Shamliyan T, Sedrakyan A, Wilt T, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program. J Clin Epidemiol. 2011;64:1187–97.

Fernandez-Castilla B, Declercq L, Jamshidi L, Beretvas S, Onghena P, Van den Noorthgate W. Detecting selection bias in meta-analyses with multiple outcomes: a simulation study. J Exp Educ. 2019;

Swinton P, Burgess K, Hall A, Greig L, Psyllas J, Aspe R, et al. A bayesian approach to interpret intervention effectiveness in strength and conditioning part 2: Effect size selection and application of Bayesian updating. Sport RXiv (PREPRINT SERVER). 2021;

Verardi V, Vermandele C. Univariate and multivariate outlier identification for skewed or heavy-tailed distributions. STATA J. 2018;18:517–32.

Bürkner P. brms: An R package for Bayesian multilevel models using Stan. J Stat Softw. 2017;80:1–28.

Guyatt G, Oxman A, Vist G, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. Br Med J (clinical Res ed). 2008;336:924–6.

Downs S, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52:377–84.

Qvist P, Christgau S, Pedersen B, Schlemmer A, Christiansen C. Circadian variation in the serum concentration of C-terminal telopeptide of type I collagen (serum CTx): effects of gender, age, menopausal status, posture, daylight, serum cortisol, and fasting. Bone. 2002;31:57–61.

Hadjidakis D, Androulakis I. Bone remodeling. Ann N Y Acad Sci. 2006;1092:385–96.

Hilkens L, Knuiman P, Heijboer M, Kempers R, Jeukendrup A, van Loon J, et al. Fragile bones of elite cyclists: to treat or not to treat? J Appl Physiol. 2021;10.1152/japplphysiol.0134.2020.

Mojock C, Ormsbee M, Kim J, Arjmandi B, Louw G, Contreras R, et al. Comparisons of bone mineral density between recreational and trained male road cyclists. Clin J Sport Med. 2016;26:152–6.

Medelli J, Lounana J, Menuet J, Shabani M, Cordero-MacIntyre Z. Is osteopenia a health risk in professional cyclists? J Clin Densitom. 2009;12:28–34.

Campion F, Nevill A, Karlsson M, Lounana J, Shabani M, Fardellone P, et al. Bone status in professional cyclists. Int J Sports Med. 2010;31:511–5.

Adami S, Gatti D, Viapiana O, Fiore CE, Nuti R, Luisetto G, et al. Physical activity and bone turnover markers: A cross-sectional and a longitudinal study. Calcif Tissue Int. 2008;83:388–92.

Helge EW, Andersen TR, Schmidt JF, Jørgensen NR, Hornstrup T, Krustrup P, et al. Recreational football improves bone mineral density and bone turnover marker profile in elderly men. Scand J Med Sci Sport. 2014;24:98–104.

Delgado-Calle J, Sato A, Bellido T. Role and mechanism of action of sclerostin in bone. Bone. 2017;96:29–37.

Robling A, Niziolek P, Baldridge L, Condon K, Allen M, Alam I, et al. Mechanical stimulation of bone in vivo reduces osteocyte expression of Sost/Sclerostin. J Biol Chem. 2008;283:5866–75.

Pickering M, Simon M, Sornay-Rendu E, Chikh K, Carlier M, Raby A, et al. Serum sclerostin increases after acute physical activity. Calcif Tissue Int. 2017;101:170–3.

Oosthuyse T, Badenhorst M, Avidon I. Bone resorption is suppressed immediately after the third and fourth days of multiday cycling but persistently increased following overnight recovery. Appl Physiol Nutr Metab [Internet]. 2014;39:64–73. Available from: http://www.nrcresearchpress.com/doi/abs/10.1139/apnm-2013-0105

Rogers RS, Dawson AW, Wang Z, Thyfault JP, Hinton PS. Acute response of plasma markers of bone turnover to a single bout of resistance training or plyometrics. J Appl Physiol [Internet]. 2011;111:1353–60. Available from: http://www.physiology.org/doi/10.1152/japplphysiol.00333.2011

Ivaska K, Hentunen T, Vaaraniemi J, Ylipahkala H, Pettersoon K, Vaananen H. Release of intact and fragmented osteocalcin molecules from bone matrix during bone resorption in vitro. J Biol Chem. 2004;279:18361–9.

Lombardi G, Perego S, Luzi L, Banfi G. A four-season molecule: osteocalcin. Updates in its physiological roles. Endocrine. 2015;48:394–404.

Schwarzer G, Carpenter J, Rucker G. Small-study effects in meta-analysis. Meta-Analysis with R Use R! 2015. p. 107–41.

Betts JA, Gonzalez JT, Burke LM, Close GL, Garthe I, James LJ, et al. PRESENT 2020: Text Expanding on the Checklist for Proper Reporting of Evidence in Sport and Exercise Nutrition Trials. Int J Sport Nutr Exerc Metab. 2020;30:2–13.

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