Abstract
Bone turnover markers (BTMs) are biomedical indicators used to assess the bone metabolism processes reflecting the activity of osteoblasts and osteoclasts. During childhood and adolescence, bone metabolism is highly active, leading to distinct levels and trends of BTMs compared with those of adults. BTMs correlate significantly with age, gender and environmental factors, making them valuable for evaluating bone health and developmental trajectories in pediatric populations. Due to the non-invasive characters and dynamic monitoring capabilities, BTMs are increasingly employed in research and clinical practice. Preliminary observations propose that BTMs demonstrate clinical utility in predicting fracture risk, enabling early diagnosis of osteoporosis and rickets, and monitoring therapeutic efficacy. However, Tracability of BTM measurement results and limited pediatric reference intervals remain critical challenges. Further research is needed to expand our understanding of the their mechanisms and optimize clinical applications. This article reviews the physiological and pathological states in children, discusses the current dilemmas of clinical application, and highlights the future research prospects.
1 Introduction
Bone is a vital structural and metabolic organ, providing mechanical support and participating in mineral homeostasis. As a dynamic tissue, bone undergoes continuous remodeling through two counterbalanced processes: osteoblast-mediated formation and osteoclast-driven resorption (). Clinically, dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT) are gold-standard techniques for assessing bone mineral density (BMD) and content due to their high accuracy and rapid results (). However, their utility in longitudinal bone metabolism monitoring is constrained by radiation exposure risks and cost limitations. In pediatric populations, these limitations are compounded by reduced measurement precision, primarily due to motion artifacts and patient noncompliance during imaging (, ). BTMs metabolite or enzyme released during bone remodeling—reflect real-time osteoblast or osteoclast activity. These minimally invasive biomarkers enable dynamic monitoring of systemic bone metabolism (, ), contrasting with bone mineral content (BMC) and bone mineral density (BMD), which provide only a static assessment of bone mass ().
Pediatric bone metabolism differs significantly from adults, integrating both developmental growth and remodeling processes. Studies indicate that pediatric BTMs exhibit 5- to 20-fold higher concentrations compared to adults (, ). As dual-purpose indicators, BTMs not only evaluate bone metabolic status but also serve as proxies for tracking growth velocity and maturation patterns. These attributes position BTMs as essential tools for early diagnosis, disease classification, and therapeutic surveillance in pediatric growth disorders (, , ).
2 Literature search and selection criteria
A comprehensive search was conducted by using keywords and MeSH terms to identify studies related to BTMs in children and adolescents. The keywords ‘children and adolescents’ and ‘bone turnover marker’ were employed, along with specific disorders and specific markers such as ‘osteocalcin’, ‘type I procollagen N-terminal propeptide’, ‘N-terminal cross-linked terminal peptide’, and ‘C-terminal cross-linked terminal peptide’. The search was carried out across multiple databases, including Web of Science, Google Scholar, and PubMed. Studies were included if they focused on the measurement, interpretation, reference ranges, or clinical utility of BTMs in children and adolescents (aged 0–18 years). Original research articles, systematic reviews, meta-analyses, and relevant clinical guidelines were prioritized. Animal studies, case reports, articles not in English, and studies exclusively in adults were excluded.
3 Characteristics of children’s bone metabolism
Bone mass accrual predominantly occurs during childhood developmental stages, with accelerated deposition observed in early childhood and adolescence periods characterized by rapid skeletal growth and critical mineralization windows (, , ). During childhood and adolescence, BTMs primarily reflect growth plate activity, while bone modeling processes remain active. Pediatric bone remodeling rates are approximately threefold higher than those in adults (). Elevated BTM levels in children and adolescents reflect heightened remodeling activity, a physiological adaptation to mechanical loading during growth. Notably, BTMs demonstrate an inverse correlation with bone mineral density (BMD), suggesting a predominance of formation over resorption (). Longitudinal studies indicate that approximately 90% of peak bone mass (PBM) is attained by early adulthood, reaching maximal density during Tanner stage III pubertal development, stabilizing thereafter, and declining progressively with advancing age (, ). Given that childhood skeletal development establishes a critical foundation for lifelong bone health, dynamic monitoring of bone metabolism and maturation patterns during this period is increasingly recognized as essential.
4 Bone turnover markers
Bone turnover markers are non-invasive biomarkers, obtained from blood or urine samples, that provide a dynamic assessment of bone metabolism (). These biomarkers originate from the coupled activities of osteoblasts and osteoclasts. During the formative phase, osteoblasts orchestrate type I collagen biosynthesis and secretion of non-collagenous regulatory proteins, including osteocalcin (OC) and bone-specific alkaline phosphatase (BALP). Proteolytic cleavage of procollagen during extracellular matrix maturation generates quantifiable fragments such as procollagen type I N-terminal propeptide (PINP), serving as specific surrogates for osteoblast activity. In contrast, osteoclast-driven resorption involves enzymatic degradation of the collagenous matrix, liberating degradation byproducts like C-terminal telopeptide of type I collagen (CTX) and N-terminal telopeptide (NTX), which directly correlate with osteoclast functional status () (Figure 1). Historically, urinary BTMs were widely utilized due to their direct association with renal excretion of bone resorption byproducts, but due to the difficulty of collecting urine samples and the fact that BTMs values are limited by creatinine levels, serum or plasma samples are now preferred by laboratories to test for BTMs, which are easier to process and have a high degree of stability (, ). In 2010, the International Osteoporosis Foundation (IOF) and the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) established serum PINP and β-CTX as reference biomarkers for bone metabolism dynamics, a designation later formalized by the IFCC Bone Marker Standards Working Group to recognize PINP and β-CTX as the gold-standard biomarkers for bone formation and resorption respectively (, ). These designations have solidified BTMs as essential clinical tools for diagnosing metabolic bone disorders, monitoring therapeutic responses, and evaluating treatment adherence. In pediatric populations, serum levels of BTMs rise markedly during puberty, correlating strongly with growth velocity, peak bone mass accrual, and biological sex (Figure 2). Consequently, BTMs provide sensitive, dynamic indices for tracking remodeling processes and detecting early bone mass abnormalities (, ).
Figure 1
Figure 2
4.1 Bone formation markers
4.1.1 PINP/PICP
Procollagen type I N-terminal propeptide (PINP) and C-terminal propeptide (PICP) are enzymatically cleaved fragments derived from the C-terminal domain of type I collagen during osteoblast-mediated biosynthesis. These peptides serve as specific biomarkers of bone formation, reflecting collagen I synthesis rates and osteoblast activity (
4.1.2 ALP/BALP
Bone-specific alkaline phosphatase (BALP), a tissue-specific isoform of alkaline phosphatase (ALP), is exclusively synthesized by osteoblasts and serves as a specific biomarker of osteoblast activity. While total ALP exhibits limited diagnostic specificity due to its expression in hepatobiliary and intestinal tissues, BALP demonstrates superior specificity for skeletal pathology in pediatric populations, particularly given the low incidence of hepatic comorbidities in children (
4.1.3 OC
OC (osteocalcin), a 49-amino acid γ-carboxyglutamic acid-containing protein secreted by osteoblasts, regulates calcium deposition and hydroxyapatite crystallization within the bone matrix (
4.2 Bone resorption markers
4.2.1 NTX/CTX
N-terminal telopeptide (NTX) and C-terminal telopeptide (CTX) of type I collagen are osteoclast-derived proteolytic fragments released during collagen I degradation—the primary collagenous component of bone matrix. These telopeptides serve as specific biomarkers for quantifying bone resorption rates and metabolic turnover (
4.2.2 TRAP-5b
Tartrate-resistant acid phosphatase (TRAP), a lysosomal enzyme secreted by osteoclasts and monocyte-macrophage lineage cells, exists as two isoforms: TRAP-5a and TRAP-5b. TRAP-5b, being osteoclast-specific, serves as a robust biomarker for quantifying osteoclast numbers and bone resorption activity (
5 Clinical applications
Bone metabolism markers are mostly used to assess bone health and bone metabolism status, and the most clinically used BTMs are PINP and CTX, which reflect bone formation and bone resorption respectively (
Table 1
| Clinical guideline (Organization/Country) | Populations | Main viewpoint |
|---|---|---|
| Global Consensus Recommendations on Prevention and Management of Nutritional Rickets ( | Pediatric/ adolescent | Elevated serum ALP has been used as a screening tool for rickets. |
| American Association of Clinical Endocrinologists and American College of Endocrinology Clinical Practice Guidelines for the Diagnosis and Treatment of Postmenopausal Osteoporosis (AACE/ACE) ( | Adult | BTMs were recommended for initial evaluation and follow-up of patients with osteoporosis and as a target for treatment. |
| Clinician’s Guide to Prevention and Treatment of Osteoporosis (NOF) ( | Adult | BTMs can help with risk assessment and serve as an additional monitoring for treatment. |
| Japanese 2011 guidelines for prevention and treatment of osteoporosis–executive summary (JOS) ( | Adult | (1) Educate patients who have suboptimal understanding of the need for treatment; (2) In patients who are scheduled to receive pharmacotherapy; (3) When a physician aims to select an appropriate treatment for osteoporosis, as well as to evaluate the response to treatment. |
| Clinical practice guidelines for the prevention and treatment of osteoporosis in Taiwan: summary (TOA) ( | Adult | It is recommended to measure BTMs at 3 to 6 months after starting anti-osteoporotic drug therapy. |
| International Osteoporosis Foundation and European Calcified Tissue Society Working Group. Recommendations for the screening of adherence to oral bisphosphonates (IOF/ECTS) ( | Adult | BTMs were used to assess treatment adherence. |
| Consensus Statement on the Use of Bone Turnover Markers For Short-Term Monitoring of Osteoporosis Treatment in the Asia-Pacific Region ( | Adult | The use of BTM, particularly CTX and P1NP, was endorsed as a short-term monitoring tool. |
| Guidelines for the Clinical Application of Biochemical Markers of Bone Turnover (China) | Adult | BTMs were used for osteoporotic fracture risk prediction and osteoporosis differential diagnosis |
| Guidelines for Diagnosis and Treatment of Primary Osteoporosis (China) | Adult | BTMs enable skeletal disorder differential diagnosis, remodeling assessment, fracture prediction, adherence monitoring, and efficacy evaluation (non-diagnostic for osteoporosis). |
Clinical guidelines for BTM use in bone disorders.
5.1 Bone metabolic diseases
5.1.1 Primary osteoporosis
Osteoporosis was previously recognized as a disease of old age, but is now of great concern in children and adolescents. The major determinant of lifetime risk for osteoporosis is the magnitude of peak bone mass attained in early adulthood, suggesting that bone health in childhood has a significant impact on lifetime risk for osteoporosis and osteoporotic fractures (
Although not included in osteoporosis diagnostic criteria, BTMs are clinically essential for monitoring treatment response. BTMs are pivotal for monitoring antiresorptive therapy response, with bisphosphonate treatment typically reducing β-CTX by 50-80% within 2 months and PINP by 40-60% within 6 months (
5.1.2 Rickets
Rickets, a metabolic bone disorder predominantly affecting children and adolescents, arises from vitamin D deficiency or aberrant vitamin D metabolism. Insufficient vitamin D impairs intestinal calcium and phosphate absorption, leading to hypocalcemia and hypophosphatemia that disrupt normal bone mineralization45. In hypophosphatemic rickets, bone formation markers such as OC and ALP may be elevated showing an increase in bone formation stimulation, while a decrease in ALP activity is a good indicator of treatment efficacy. Conversely, bone resorption markers such as NTX may be elevated, reflecting accelerated bone resorption and the extent of bone destruction (
5.1.3 Primary hyperparathyroidism
Primary hyperparathyroidism (PHPT) characterized by autonomous overproduction of parathyroid hormone (PTH) from one or more parathyroid glands. Studies have shown that serum markers of bone formation, such as BALP, are often elevated in patients with PHPT, whereas bone resorption markers may not be significantly increased. Early biochemical intervention is critical to mitigate progressive bone loss and osteoporosis risk. Serial BTM monitoring, combined with DXA and BMD assessment, facilitates personalized management to prevent fragility fractures (
PHPT associated with multiple parathyroid gland hyperplasia and/or adenomas (syndromic type) is a multiple endocrine tumor type 1 (MEN 1), the most common endocrinopathy, which is an inherited disorder. Elevated PTH begins in late childhood, adolescence, or early adulthood and may negatively affect the normal acquisition of peak bone mass. It was found that in untreated patients with MEN1-associated PHPT, serum bone alkaline phosphatase (BALP) levels were significantly elevated, showing higher osteoblastic activity. In contrast, in patients with sporadic PHPT, BALP levels were within the normal range. In addition, it was observed that serum PTH, calcium ion, total calcium and BALP levels were significantly reduced in patients with MEN1-associated PHPT and sporadic PHPT after PTX. This suggests that PTX restores normal levels of serum BTMs and reduces bone resorption activity (
5.1.4 Juvenile idiopathic arthritis
Juvenile idiopathic arthritis (JIA) is a disease associated with imbalances in bone metabolism. Studies demonstrate that BTMs correlate with disease activity and therapeutic response in JIA, BALP levels reflect inflammatory osteoblast activation (
Current data suggest that JIA-associated bone loss arises from a resorption-formation imbalance, driven by chronic inflammation and metabolic disturbances. While BTM profiling provides actionable insights into skeletal health and treatment efficacy, the precise mechanisms linking JIA pathophysiology to bone remodeling remain incompletely elucidated. Targeted interventions to preserve bone mass in JIA, particularly those addressing inflammatory and leptin-mediated pathways, require further translational and clinical validation.
5.2 Endocrine diseases
5.2.1 Obesity
Pediatric obesity is associated with suppressed bone turnover, particularly in females, as evidenced by reduced OC, NTX, and OC/NTX ratios. This hypometabolic state may arise from dual mechanisms: (1) impaired osteoblast differentiation or activity due to adipocyte-dominated marrow microenvironmental remodeling; and (2) chronic low-grade inflammation with elevated TNF-α, IL-6 inhibiting Wnt/β-catenin signaling pathways critical for osteogenesis (
5.2.2 Diabetes
Type 1 diabetes mellitus (T1DM) exerts deleterious effects on pediatric bone health through multifactorial pathways. Chronic hyperglycemia disrupts calcium-vitamin D homeostasis, induces advanced glycation end-product (AGE) accumulation in bone collagen, promotes marrow adiposity via osteoblast-adipocyte transdifferentiation, and exacerbates oxidative stress—collectively impairing osteoblastogenesis while enhancing osteoclastic activity (
While optimized glycemic control may attenuate these metabolic perturbations, the precise molecular mechanisms underlying diabetic osteopathy, particularly AGE-RAGE axis activation and Wnt/β-catenin pathway inhibition, require further elucidation. Targeted therapeutic strategies combining glycemia management with bone anabolic agents represent a promising avenue for mitigating skeletal complications in pediatric T1DM.
5.3 Tumors
Acute lymphoblastic leukemia (ALL), the most prevalent pediatric malignancy, has achieved 5-year survival rates exceeding 90% through modern therapeutic protocols. However, skeletal changes observed at the time of diagnosis and during treatment negatively impact the skeletal health of patients, including osteolysis, sclerosis, and osteoporosis. The occurrence of these skeletal changes is largely attributed to the disease itself as well as the effects of intensive treatment regimens (e.g., methotrexate and glucocorticoids) on the skeleton (
Bone tumors are characterized by pathological disruption of bone remodeling homeostasis, manifesting as imbalanced osteogenic-osteoclastic coupling. In osteosarcoma, BALP levels are consistently elevated compared to benign bone lesions, with meta-analyses demonstrating 3- to 5-fold higher concentrations (
6 Discussion
Although BTMs aid in assessing pediatric bone health, predicting bone loss, and monitoring therapeutic efficacy, their clinical utility is limited by inherent biological variability and methodological differences, necessitating careful interpretation (
In terms of methodological differences, the clinical application of BTMs faces challenges in terms of standardization and measurement accuracy (70). Currently, the commonly used detection methods for BTMs are enzyme-linked immunosorbent assay (ELISA) and chemiluminescence immunoassay (CLIA) (
Table 2
| BTMs | Race | Gender | Age | RI | Manufacturers | Detection methods |
|---|---|---|---|---|---|---|
| PINP(ng/ml) | Asian | Female | ≤1y | 304.8-1998.4 | Roche | Electrochemiluminescence |
| 2–8y | 184.7-889.9 | |||||
| 9–11y | 301.6-1177.0 | |||||
| 12–18y | 46.3-495.0 | |||||
| Post-menopause | 20.00–76.50 | Snibe | Chemiluminescence | |||
| Pre- menopause | 15.00–59.00 | |||||
| Post-menopause | 15.98–75.21 | UUDIAG | Electrochemiluminescence | |||
| Pre- menopause | 14.56–59.62 | |||||
| Post-menopause | 16.12–73.17 | Hotgen | Chemiluminescence | |||
| Pre- menopause | 15.25–58.83 | |||||
| Male | ≤1y | 777.7-1321.4 | Roche | Electrochemiluminescence | ||
| 2–9y | 129.0-879.0 | |||||
| 10–12y | 148.7-1322.2 | |||||
| 13–18y | 55.9-679.9 | |||||
| n/a | 22.59-75.17 | UUDIAG | Electrochemiluminescence | |||
| Caucasian | Female | 6–10y | 411-1022 | Roche | Electrochemiluminescence | |
| >10–11y | 0-1451 | |||||
| >11–14y | 109- 1346 | |||||
| >14–15y | 38- 510 | |||||
| >15y | 49- 277 | |||||
| (30–89y)Post- menopause | 16.27–73.87 | |||||
| (30–89y) Pre- menopause | 15.13–58.59 | |||||
| 8-9y | 415–1210 | IDS | ELISA | |||
| 10-11y | 352–1513 | |||||
| 12-13y | 387–1439 | |||||
| 14-15y | 65–726 | |||||
| 16-17y | 55–325 | |||||
| PINP(ng/ml) | Caucasian | Male | 6–11y | 407- 1079 | Roche | Electrochemiluminescence |
| >11–14y | 339-1399 | |||||
| >14–15y | 0-1217 | |||||
| >15y | 61- 718 | |||||
| 8-9y | 381–1138 | IDS | ELISA | |||
| 10-11y | 298–1314 | |||||
| 12-13y | 168–1858 | |||||
| 14-15y | 219–1931 | |||||
| 16-17y | 166–2623 | IDS | ELISA | |||
| All | Adults | 27.7 – 127.6 | IDS | ELISA | ||
| OC(ng/ml) | Asian | Female | < & =9y | 22.7-90.3 | Roche | Electrochemiluminescence |
| 10–12y | 23.7-141.8 | |||||
| 13–18y | 10.9-71.2 | |||||
| Post-menopause | 14-47 | UUDIAG | Electrochemiluminescence | |||
| (>20y) Pre- menopause | 10-45 | |||||
| Post-menopause | 9-47 | Snibe | Chemiluminescence | |||
| Pre- menopause | 10-38 | |||||
| Male | < & =10y | 21.7-93.8 | Roche | Electrochemiluminescence | ||
| 11–14y | 31.1-173.7 | |||||
| 15–18y | 68.8-11.3 | |||||
| 18-29y | 22-69 | UUDIAG | Electrochemiluminescence | |||
| >29-50y | 15-41 | |||||
| >50-70y | 15-46 | |||||
| 18-30y | 20-59 | Snibe | Chemiluminescence | |||
| >30-70y | 8-41 | |||||
| Caucasian | Female | 6-10y | 61.4- 136.2 | Roche | Electrochemiluminescence | |
| >10-14y | 24.1- 232.1 | |||||
| >14-15y | 17.8- 119.6 | |||||
| >15y | 21.1- 76.7 | |||||
| Post- menopause | 15-46 | |||||
| (>20y) Pre- menopause | 11–43 | |||||
| Male | 6–9y | 56.5- 152.1 | ||||
| >9–15y | 48.2-226.4 | |||||
| >15y | 22.5-151.3 | |||||
| 18-29y | 24-70 | |||||
| >29-50y | 14-42 | |||||
| >50-70y | 14-46 | |||||
| BALP(U/L) | Caucasian | Female | 6–11y | 23.5- 151.1 | Roche | Electrochemiluminescence |
| >11–14y | 20.8- 172.3 | |||||
| >14y–15y | 12.6- 105.8 | |||||
| BALP(U/L) | Caucasian | Female | >15y | 8.1-43.9 | Roche | Electrochemiluminescence |
| < & =1y | 117-152 | Quidel | ELISA | |||
| 2y | 113-148 | |||||
| 3y | 129-147 | |||||
| 4y | 109-147 | |||||
| 5y | 108-148 | |||||
| 6y | 106-148 | |||||
| 7y | 104-148 | |||||
| 8y | 101-147 | Quidel | ELISA | |||
| 9y | 96-143 | |||||
| 10y | 90-137 | |||||
| 11y | 81-127 | |||||
| 12y | 71-113 | |||||
| 13y | 59-96 | |||||
| 14y | 46-77 | |||||
| 15y | 35-59 | |||||
| 16y | 26-45 | |||||
| 17y | 20-36 | |||||
| 18y | 17-31 | |||||
| 19y | 15-27 | |||||
| Male | 6–9y | 51.0-164.3 | Roche | Electrochemiluminescence | ||
| >9–11y | 65.6-138.2 | |||||
| >11–15y | 45.5- 208.4 | |||||
| >15y | 13.1-80.0 | |||||
| < & =1y | 126-155 | Quidel | ELISA | |||
| 2y | 119-148 | |||||
| 3y | 115-143 | |||||
| 4y | 112-141 | |||||
| 5y | 110-139 | |||||
| 6y | 110-140 | |||||
| 7y | 111-142 | |||||
| 8y | 112-146 | |||||
| 9y | 115-152 | |||||
| 10y | 117-158 | |||||
| 11y | 120-165 | |||||
| 12y | 120-169 | |||||
| 13y | 118-171 | |||||
| 14y | 113-168 | |||||
| 15y | 103-157 | |||||
| 16y | 88-137 | |||||
| BALP(U/L) | Caucasian | Male | 17y | 69-111 | Quidel | ELISA |
| 18y | 47-78 | |||||
| 19y | 25-43 | |||||
| β-CTX(ng/mL) | Asian | Female | Post-menopause | <1.014 | UUDIAG | Electrochemiluminescence |
| Pre- menopause | <0.563 | |||||
| Male | 30-50y | <0.573 | ||||
| 51-70y | <0.695 | |||||
| >70y | <0.835 | |||||
| Caucasian | Female | 6–10y | 0.82- 2.06 | Roche | Electrochemiluminescence | |
| >10–14y | 0.49- 2.76 | |||||
| >14–15y | 0.12- 1.73 | |||||
| >15y | 0.00- 1.59 | |||||
| (30–89y)Post- menopause | <1.008 | |||||
| (30–89y) Pre- menopause | <0.573 | |||||
| 8-9y | 1.03-3.20 | IDS | ELISA | |||
| 10-11y | 1.10-3.76 | |||||
| 12-13y | 0.96-3.72 | |||||
| 14-15y | 0.33-2.79 | |||||
| 16-17y | 0.29-1.24 | |||||
| Post-menopause | 0.142-1.351 | |||||
| Pre- menopause | 0.112-0.738 | |||||
| Male | 6–9y | 1.05-2.38 | Roche | Electrochemiluminescence | ||
| >9–15y | 1.00- 2.90 | |||||
| >15y | 0.50-2.43 | |||||
| 30-50y | <0.584 | |||||
| 8-9y | 1.08-2.96 | IDS | ELISA | |||
| 10-11y | 1.14–3.36 | |||||
| 12-13y | 1.10–4.06 | |||||
| 14-15y | 1.00–4.39 | |||||
| 16-17y | 1.06–4.90 | |||||
| n/a | 0.115-0.748 |
Sudies providing the reference intervals (RIs) of BTMs in different race, gender, ages and manufacturers.
Studies in perimenopausal women demonstrate a clear association between elevated BTMs and cortical/trabecular bone loss, with particularly strong correlations observed at the spine (
Statements
Author contributions
YW: Writing – original draft, Software, Investigation. HH: Methodology, Writing – review & editing. YH: Project administration, Writing – review & editing, Resources.
Funding
The author(s) declare financial support was received for the research and/or publication of this article. This work is supported by the Chengdu Municipal Bureau of Science and Technology program (2022-YF05-01613-SN) and Science and Technology Department of Sichuan Province program (2023NSFSC0033).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
bone turnover markers, children and adolescents, bone metabolism, pediatric bone health, pediatric developmental disorders
Citation
Wang Y, Hu H and Huang Y (2025) Advances in the application of bone turnover markers for pediatric growth and developmental disorders: a review. Front. Endocrinol. 16:1615712. doi: 10.3389/fendo.2025.1615712
Received
21 April 2025
Accepted
25 August 2025
Published
10 September 2025
Volume
16 - 2025
Edited by
Sally Radovick, The State University of New Jersey, United States
Reviewed by
Francesca Arfuso, University of Messina, Italy
Shangfu Li, Third Affiliated Hospital of Sun Yat-sen University, China
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© 2025 Wang, Hu and Huang.
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*Correspondence: Honghua Hu, hhh0825400063@163.com; Yi Huang, hwuangyi@126.com
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