scholarly journals Evaluation of Growth Patterns and Body Composition in C57Bl/6J Mice Using Dual Energy X-Ray Absorptiometry

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Sara Gargiulo ◽  
Matteo Gramanzini ◽  
Rosario Megna ◽  
Adelaide Greco ◽  
Sandra Albanese ◽  
...  

The normal growth pattern of female C57BL/6J mice, from 5 to 30 weeks of age, has been investigated in a longitudinal study. Weight, body surface area (BS), and body mass index (BMI) were evaluated in forty mice. Lean mass and fat mass, bone mineral content (BMC), and bone mineral density (BMD) were monitored by dual energy X-ray absorptiometry (DEXA). Weight and BS increased linearly (16.15±0.64–27.64±1.42 g;51.13±0.74–79.57±2.15 cm2,P<0.01), more markedly from 5 to 9 weeks of age(P<0.001). BMD showed a peak at 17 weeks (0.0548±0.0011 g/cm2*m,P<0.01). Lean mass showed an evident gain at 9 (15.8±0.8 g,P<0.001) and 25 weeks (20.5±0.3 g,P<0.01), like fat mass from 13 to 17 weeks (2.0±0.4–3.6±0.7 g,P<0.01). BMI and lean mass index (LMI) reached the highest value at 21 weeks (3.57±0.02–0.284±0.010 g/cm2, resp.), like fat mass index (FMI) at 17 weeks (0.057±0.009 g/cm2) (P<0.01). BMI, weight, and BS showed a moderate positive correlation (0.45–0.85) with lean mass from 5 to 21 weeks. Mixed linear models provided a good prediction for lean mass, fat mass, and BMD. This study may represent a baseline reference for a future comparison of wild-type C57BL/6J mice with models of altered growth.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1756.3-1756
Author(s):  
M. Nikolov ◽  
N. Nikolov

Background:Lean mass, mainly composed of muscle, has been correlated to bone mineral density (BMD) [4]. Studies reported that lean mass has an important impact on BMD not only in young women but also in postmenopausal women [1]. High lean mass is more favorable for the BMD than low lean mass. Some studies suggested that genetic factors responsible for both lean mass and BMD are shared [3]. Low muscle mass and low BMD could impair the quality of the patient’s life [2, 5].Objectives:The aim of this study is to assess the impact of the lean mass with body composition by dual-energy X-ray absorptiometry on the bone mineral density.Methods:107 women underwent body composition analysis by dual-energy X-ray absorptiometry (DXA). Lean mass in kg and BMD in kg/cm2 were analyzed. Normal BMD was defined as T-score > -1.0 standard deviation (SD). Osteopenia was defined as T-score between -1.0 SDs and -2.5 SDs and osteoporosis was defined as T-score ≤ - 2.5 SDs.Results:The mean age of the women was 57 years (yrs.) ± 11 yrs. (range 41 yrs. – 80 yrs.). Subjects had mean weight of 75 kg ± 12 kg (range 50 kg – 110 kg) and mean height of 156 cm ± 9 cm (range 151 cm – 172 cm). 73/107 women (68.2%) were with normal BMD, 24/107 women (22.4%) were with osteopenia and 10/107 women (9.4%) were with osteoporosis. Lean mass differed significantly between the groups (p = 0.000). Women with normal BMD had the highest mean lean mass (58.47 kg) and the mean lean mass of the women with osteopenia and osteoporosis decreased as follow: 47.56 kg for women with osteopenia and 36.22 kg for women with osteoporosis.Conclusion:Women with osteoporosis have the lowest lean mass compared to the women with osteopenia and osteoporosis.References:[1]Ilesanmi-Oyelere BL, Coad J, Roy N, Kruger MC. Lean Body Mass in the Prediction of Bone Mineral Density in Postmenopausal Women. Biores Open Access. 2018;7(1):150–158. Published 2018 Oct 10. doi:10.1089/biores.2018.0025.[2]Kirilov N., Vladeva SG, Kirilova E. Assessment on the Improvement of the Quality of Life after One Year of Regular Physical Activity and Treatment in Patients with Postmenopausal OsteoporosisCOR 2017: 19th International Conference on Orthopedics and Rheumatology Miami, USA March 9 - 10, 2017, WASET, Paper Code 17US030051.[3]Nguyen TV, Howard GM, Kelly PJ, Eisman JA. Bone mass, lean mass, and fat mass: same genes or same environments? Am J Epidemiol. 1998 Jan 1;147(1):3-16.[4]Patel HP, Dawson A, Westbury LD, et al. Muscle Mass, Muscle Morphology and Bone Health Among Community-Dwelling Older Men: Findings from the Hertfordshire Sarcopenia Study (HSS). Calcif Tissue Int. 2018;103(1):35–43. doi:10.1007/s00223-018-0388-2.[5]Kirilova E, Kirilov N, Vladeva S. A study on the physical activity in women with decreased bone mineral density. Abstract book 13thscience conference MC, PlevenDisclosure of Interests:None declared


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 227.2-228
Author(s):  
D. Claire ◽  
M. Geoffroy ◽  
L. Kanagaratnam ◽  
C. Isabelle ◽  
A. Hittinger ◽  
...  

Background:Dual energy X-ray absoprtiometry is the reference method to mesure bone mineral density (1). Loss of bone mineral density is significant if it exceeds the least significant change. The threshold value used in general population is 0,03 g/cm2 (2). Patients with obesity are known for having a higher bone mineral density due to metabolism and physiopathology characteristics (3,4).Objectives:The aim of our study was to determine the least significant change in bone densitometry in patients with obesity.Methods:We conducted an interventionnal study in 120 patients with obesity who performed a bone densitometry. We measured twice the bone mineral density at the lumbar spine, the femoral neck and the total hip in the same time (5,6). We determined the least significant change in bone densitometry from each pair of measurements, using the Bland and Altman method. We also determined the least significant change in bone densitometry according to each stage of obesity.Results:The least significant change in bone densitometry in patients with obesity is 0,046g/cm2 at the lumbar spine, 0.069 g/cm2 at the femoral neck and 0.06 g/cm2 at the total hip.Conclusion:The least significant change in bone densitometry in patients with obesity is higher than in general population. These results may improve DXA interpretation in this specific population, and may personnalize their medical care.References:[1]Lees B, Stevenson JC. An evaluation of dual-energy X-ray absorptiometry and comparison with dual-photon absorptiometry. Osteoporos Int. mai 1992;2(3):146-52.[2]Briot K, Roux C, Thomas T, Blain H, Buchon D, Chapurlat R, et al. Actualisation 2018 des recommandations françaises du traitement de l’ostéoporose post-ménopausique. Rev Rhum. oct 2018;85(5):428-40.[3]Shapses SA, Pop LC, Wang Y. Obesity is a concern for bone health with aging. Nutr Res N Y N. mars 2017;39:1-13.[4]Savvidis C, Tournis S, Dede AD. Obesity and bone metabolism. Hormones. juin 2018;17(2):205-17.[5]Roux C, Garnero P, Thomas T, Sabatier J-P, Orcel P, Audran M, et al. Recommendations for monitoring antiresorptive therapies in postmenopausal osteoporosis. Jt Bone Spine Rev Rhum. janv 2005;72(1):26-31.[6]Ravaud P, Reny JL, Giraudeau B, Porcher R, Dougados M, Roux C. Individual smallest detectable difference in bone mineral density measurements. J Bone Miner Res. août 1999;14(8):1449-56.Disclosure of Interests:None declared.


2016 ◽  
Vol 99 (5) ◽  
pp. 462-471 ◽  
Author(s):  
Patricia Clark ◽  
Edgar Denova-Gutiérrez ◽  
Regina Ambrosi ◽  
Pawel Szulc ◽  
Rodolfo Rivas-Ruiz ◽  
...  

1995 ◽  
Vol 4 (2) ◽  
pp. 141-148
Author(s):  
Ryuzou Takaya ◽  
Masakuni Tokuda ◽  
Tatsuya Oguni ◽  
Haruki Tanaka ◽  
Kazutaka Konishi ◽  
...  

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