Forearm Bone Density, Cross-sectional Size and Muscle Cross-sectional Area in Adolescents with Diabetes Mellitus Type 1 Assessed by Peripheral Quantitative Computed Tomography

Overview

Journal J Musculoskelet Neuronal Interact

Specialties Neurology
Orthopedics
Physiology

Date 2019 Dec 3

PMID 31789294

Citations 5

Authors

Maciej Jaworski

Elzbieta Wierzbicka

Pawel Pludowski

Mieczyslaw Szalecki

Affiliations

Soon will be listed here.

Abstract

Objectives: The mechanical components of bone strength (size, shape and density) in adolescents with T1DM are not extensively studied.

Methods: The studied group comprises 39 adolescents, aged 11,9-18,0 yrs. The bone and muscle properties were investigated at the forearm (66% and 4% site). All measurements were performed using pQCT method.

Results: The mean Z-score calculated for the ratio of the total cortical bone cross-sectional area to muscle cross-sectional area at 66% was lower than zero in girls (-0,93+/-1,06; p=0,0042). Significant differences between Tanner stages were noted in boys for mean Z-scores for bone masses, cross-sectional dimensions and strength.

Conclusions: T1DM girls revealed a decreased ratio of cortical bone area/muscle area, reflecting disturbed adaptation of the cortical shaft to the muscle force. When the Z-scores of cortical shell dimensions were investigated, cases in Tanner stage 5 diverged from "less mature" individuals, which may suggests that bone shaft development in these individuals was impaired, affecting both size and strength.

Citing Articles

Finite element study on post-screw removal stress in toy poodle radius with different plate designs and screw arrangements.

Anggoro D, Purba M, Jiang F, Nishida N, Itoh H, Itamoto K Open Vet J. 2024; 14(3):885-894.

PMID: 38682140 PMC: 11052620. DOI: 10.5455/OVJ.2024.v14.i3.16.

Adaptation and validation of an artificial intelligence based digital radiogrammetry tool for assessing bone health of indian children and youth with type-1 diabetes.

Oza C, Antani M, Mondkar S, Bhor S, Kajale N, Kajale S Endocrine. 2023; 84(1):119-127.

PMID: 38123878 PMC: 10987335. DOI: 10.1007/s12020-023-03630-1.

Higher Body Fat in Children and Adolescents With Type 1 Diabetes-A Systematic Review and Meta-Analysis.

Zheng Y, Rostami Haji Abadi M, Gough J, Johnston J, Nour M, Kontulainen S Front Pediatr. 2022; 10:911061.

PMID: 35813369 PMC: 9263393. DOI: 10.3389/fped.2022.911061.

Bone Density, Geometry, and Mass by Peripheral Quantitative Computed Tomography and Bone Turnover Markers in Children with Diabetes Mellitus Type 1.

Jaworski M, Wierzbicka E, Czekuc-Kryskiewicz E, Pludowski P, Kobylinska M, Szalecki M J Diabetes Res. 2022; 2022:9261512.

PMID: 35480630 PMC: 9038424. DOI: 10.1155/2022/9261512.

Comparison of differences in bone microarchitecture in adult- versus juvenile-onset type 1 diabetes Asian males versus non-diabetes males: an observational cross-sectional pilot study.

Xu L, Yu J, Wang O, Hou Y, Li W, Zhang H Endocrine. 2020; 71(1):87-95.

PMID: 32915436 PMC: 7835289. DOI: 10.1007/s12020-020-02480-5.

References

Lettgen B, Hauffa B, Mohlmann C, Jeken C, Reiners C . Bone mineral density in children and adolescents with juvenile diabetes: selective measurement of bone mineral density of trabecular and cortical bone using peripheral quantitative computed tomography. Horm Res. 1995; 43(5):173-5. DOI: 10.1159/000184273. View

Zemel B . Quantitative computed tomography and computed tomography in children. Curr Osteoporos Rep. 2011; 9(4):284-90. DOI: 10.1007/s11914-011-0076-x. View

Rakic V, Davis W, Chubb S, Islam F, Prince R, Davis T . Bone mineral density and its determinants in diabetes: the Fremantle Diabetes Study. Diabetologia. 2006; 49(5):863-71. DOI: 10.1007/s00125-006-0154-2. View

Bechtold S, Putzker S, Bonfig W, Fuchs O, Dirlenbach I, Schwarz H . Bone size normalizes with age in children and adolescents with type 1 diabetes. Diabetes Care. 2007; 30(8):2046-50. DOI: 10.2337/dc07-0142. View

Saha M, Sievanen H, Salo M, Tulokas S, Saha H . Bone mass and structure in adolescents with type 1 diabetes compared to healthy peers. Osteoporos Int. 2008; 20(8):1401-6. DOI: 10.1007/s00198-008-0810-0. View

Blew R, Lee V, Farr J, Schiferl D, Going S . Standardizing evaluation of pQCT image quality in the presence of subject movement: qualitative versus quantitative assessment. Calcif Tissue Int. 2013; 94(2):202-11. PMC: 3949118. DOI: 10.1007/s00223-013-9803-x. View

Raisingani M, Preneet B, Kohn B, Yakar S . Skeletal growth and bone mineral acquisition in type 1 diabetic children; abnormalities of the GH/IGF-1 axis. Growth Horm IGF Res. 2017; 34:13-21. PMC: 5516798. DOI: 10.1016/j.ghir.2017.04.003. View

Louis O, Willnecker J, Soykens S, Van den Winkel P, Osteaux M . Cortical thickness assessed by peripheral quantitative computed tomography: accuracy evaluated on radius specimens. Osteoporos Int. 1995; 5(6):446-9. DOI: 10.1007/BF01626606. View

Roggen I, Gies I, Vanbesien J, Louis O, De Schepper J . Trabecular bone mineral density and bone geometry of the distal radius at completion of pubertal growth in childhood type 1 diabetes. Horm Res Paediatr. 2013; 79(2):68-74. DOI: 10.1159/000346686. View

10.

Jaworski M, Graff K . Peripheral quantitative computed tomography of the distal and proximal forearm in children and adolescents: bone densities, cross-sectional sizes and soft tissues reference data. J Musculoskelet Neuronal Interact. 2018; 18(2):237-247. PMC: 6016490. View

11.

Kulaga Z, Litwin M, Tkaczyk M, Palczewska I, Zajaczkowska M, Zwolinska D . Polish 2010 growth references for school-aged children and adolescents. Eur J Pediatr. 2010; 170(5):599-609. PMC: 3078309. DOI: 10.1007/s00431-010-1329-x. View

12.

Binkley T, Berry R, Specker B . Methods for measurement of pediatric bone. Rev Endocr Metab Disord. 2008; 9(2):95-106. DOI: 10.1007/s11154-008-9073-5. View

13.

Bechtold S, Dirlenbach I, Raile K, Noelle V, Bonfig W, Schwarz H . Early manifestation of type 1 diabetes in children is a risk factor for changed bone geometry: data using peripheral quantitative computed tomography. Pediatrics. 2006; 118(3):e627-34. DOI: 10.1542/peds.2005-2193. View

14.

Smart C, Annan F, Higgins L, Jelleryd E, Lopez M, Acerini C . ISPAD Clinical Practice Consensus Guidelines 2018: Nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2018; 19 Suppl 27:136-154. DOI: 10.1111/pedi.12738. View

15.

Schoenau E, Neu M, Manz F . Muscle mass during childhood--relationship to skeletal development. J Musculoskelet Neuronal Interact. 2004; 4(1):105-8. View

16.

Adams J, Engelke K, Zemel B, Ward K . Quantitative computer tomography in children and adolescents: the 2013 ISCD Pediatric Official Positions. J Clin Densitom. 2014; 17(2):258-74. DOI: 10.1016/j.jocd.2014.01.006. View

17.

Hough F, Pierroz D, Cooper C, Ferrari S . MECHANISMS IN ENDOCRINOLOGY: Mechanisms and evaluation of bone fragility in type 1 diabetes mellitus. Eur J Endocrinol. 2015; 174(4):R127-38. DOI: 10.1530/EJE-15-0820. View

18.

Thrailkill K, Lumpkin Jr C, Bunn R, Kemp S, Fowlkes J . Is insulin an anabolic agent in bone? Dissecting the diabetic bone for clues. Am J Physiol Endocrinol Metab. 2005; 289(5):E735-45. PMC: 2387001. DOI: 10.1152/ajpendo.00159.2005. View

19.

Schoenau E, Neu C, Beck B, Manz F, Rauch F . Bone mineral content per muscle cross-sectional area as an index of the functional muscle-bone unit. J Bone Miner Res. 2002; 17(6):1095-101. DOI: 10.1359/jbmr.2002.17.6.1095. View