Maternal high fat feeding results in higher fat mass and bone mineral content in weanling but not 3 month old female offspring

Abstract Background and Aims Patients on hemodialysis are prone to undernutrition, malnutrition-inflammation-atherosclerosis (MIA) syndrome, and protein-energy wasting (PEW). One of the major adipocytokines adiponectin (ADPN) is involved in anti-arteriosclerotic and anti-inflammatory processes. However, ADPN is implicated in muscle weakness and loss of muscle mass in the elderly in addition to sarcopenia. At the 2019 ERA-EDTA Congress, we announced that total plasma ADPN levels in patients on hemodialysis (HD) showed a significant inverse correlation with BMI, body fat in percentage, mass and estimated skeletal muscle mass, and ADPN may be involved in sarcopenia in patients on HD. Herein, we investigated the association of ADPN level with sarcopenia in patients on HD using a method different from the one used in our previous study. We examined the relationship between total plasma ADPN level and the rate of change in estimated skeletal muscle mass, bone mineral content, and body fat mass over 5 years after the plasma ADPN measurement. Furthermore, we analyzed whether an elevated ADPN level was predictive of a subsequent decline in these parameters. Method Total plasma ADPN levels were measured using ELISA (Bio Vendor-Laboratorni Medicina a.s., Czech Republic) in 42 male patients on HD (age: 51.1 ± 9.0 years, dialysis vintage: 144.8 ± 99.2 months, BMI: 21.8 ± 3.2, dry BW: 62.0 ± 10.9 kg, dialysis time: 15.6 ± 3.1 hours/week). The estimates of skeletal muscle mass, bone mineral content, and body fat mass were made using multi-frequency bioelectrical impedance analysis (MFBIA) within the same year when total plasma ADPN level were first measured in 2011 as well as in 2016. We then calculated the rates of change in the estimated skeletal muscle mass, bone mineral content, and body fat mass over the 5 years and correlated these parameters with the total plasma ADPN measurements. Results Conclusion Total plasma ADPN levels inversely correlate with larger rates of decrease in estimated skeletal muscle mass and bone mineral content in patients on HD. This suggests that ADPN may play a role in the decline in skeletal muscle mass and bone mineral content over time in patients on HD.

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Sex and Region-Specific Associations of Bone Mineral Content, Muscle Mass, and Fat Mass with Insulin Resistance

Metabolic Syndrome and Related Disorders ◽

10.1089/met.2020.0010 ◽

2020 ◽

Vol 18 (10) ◽

pp. 471-478

Author(s):

Kayoung Lee

Keyword(s):

Insulin Resistance ◽

Bone Mineral Content ◽

Muscle Mass ◽

Bone Mineral ◽

Fat Mass ◽

Mineral Content

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Fat mass is negatively associated with bone mineral content in Koreans

Osteoporosis International ◽

10.1007/s00198-011-1808-6 ◽

2011 ◽

Vol 23 (7) ◽

pp. 2009-2016 ◽

Cited By ~ 43

Author(s):

J. H. Kim ◽

H. J. Choi ◽

M. J. Kim ◽

C. S. Shin ◽

N. H. Cho

Keyword(s):

Bone Mineral Content ◽

Bone Mineral ◽

Fat Mass ◽

Mineral Content ◽

Negatively Associated

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Association of Lean Tissue and Fat Mass with Bone Mineral Content in Children and Adolescents

Obesity Research ◽

10.1038/oby.2002.8 ◽

2002 ◽

Vol 10 (1) ◽

pp. 56-60 ◽

Cited By ~ 76

Author(s):

Angelo Pietrobelli ◽

Myles S. Faith ◽

Jack Wang ◽

Paolo Brambilla ◽

Giuseppe Chiumello ◽

...

Keyword(s):

Bone Mineral Content ◽

Children And Adolescents ◽

Bone Mineral ◽

Fat Mass ◽

Mineral Content ◽

Lean Tissue

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Diabetes during Pregnancy Does Not Alter Whole Body Bone Mineral Content in Infants

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jcem.82.12.4409 ◽

1997 ◽

Vol 82 (12) ◽

pp. 3993-3997 ◽

Cited By ~ 17

Author(s):

Alexandre Lapillonne ◽

Sophie Guerin ◽

Pierre Braillon ◽

Olivier Claris ◽

Pierre D. Delmas ◽

...

Keyword(s):

Birth Weight ◽

Bone Mineral Content ◽

Bone Mineral ◽

Fat Mass ◽

Gestational Age ◽

Mineral Content ◽

Whole Body ◽

X Ray ◽

Diabetic Mothers ◽

Body Bone

A previous study using single photon absorptiometry has reported low bone mineral density of the radius in infants of diabetic mothers. The aim of this study was to assess by dual x-ray absorptiometry the whole body bone mineral content (WbBMC) and the body composition of 40 infants of diabetic mothers at birth (mean gestational age ± sd, 37.5 ± 1.3 weeks; mean birth weight ± sd, 3815 ± 641 g). WbBMC was not correlated with gestational age, but was well correlated with birth weight (r = 0.73; P = 0.0001) and also with fat mass (r = 0.87; P = 0.0001) and lean mass (r = 0.42; P = 0.008). The z-scores ± sd adjusted for weight for WbBMC and fat mass were significantly increased (1.3 ± 0.9 and 2.6 ± 1.3, respectively (P < 0.0001), but were not significantly influenced either by in utero growth or by the type of the diabetes mellitus of the mother. Bone mineralization and fat mass studied by whole body dual x-ray absorptiometry are increased at birth in these infants compared with reference curves.

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The Multicomponent Anthropometric Model for Assessing Body Composition in a Male Pediatric Population: A Simultaneous Prediction of Fat Mass, Bone Mineral Content, and Lean Soft Tissue

Journal of Obesity ◽

10.1155/2013/428135 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Dalmo Machado ◽

Sérgio Oikawa ◽

Valdir Barbanti

Keyword(s):

Body Composition ◽

Soft Tissue ◽

Bone Mineral Content ◽

Bone Mineral ◽

Fat Mass ◽

Mineral Content ◽

Cross Validation ◽

Whole Body ◽

Simultaneous Estimation ◽

Validation Parameters

The aim of this study was to propose and cross-validate an anthropometric model for the simultaneous estimation of fat mass (FM), bone mineral content (BMC), and lean soft tissue (LST) using DXA as the reference method. A total of 408 boys (8–18 years) were included in this sample. Whole-body FM, BMC, and LST were measured by DXA and considered as dependent variables. Independent variables included thirty-two anthropometrics measurements and maturity offset determined by the Mirwald equation. From a multivariate regression model , a matrix analysis was performed resulting in a multicomponent anthropometric model. The cross-validation was executed through the sum of squares of residuals (PRESS) method. Five anthropometric variables predicted simultaneously FM, BMC, and LST. Cross-validation parameters indicated that the new model is accurate with high values ranging from 0.94 to 0.98 and standard error of estimate ranging from 0.01 to 0.09. The newly proposed model represents an alternative to accurately assess the body composition in male pediatric ages.

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Explore Upper Limits of Bone Mineral Content And Density In Humans: A Study On Japanese Collegiate Sumo Wrestlers

10.21203/rs.3.rs-1001814/v1 ◽

2021 ◽

Author(s):

Taishi Midorikawa ◽

Suguru Torii ◽

Megumi Ohta ◽

Shizuo Sakamoto

Keyword(s):

Body Weight ◽

Bone Mineral Content ◽

Bone Mineral ◽

Fat Mass ◽

Mineral Content ◽

Mineral Density ◽

Tissue Mass ◽

X Ray ◽

Upper Limit ◽

Upper Limits

Abstract The purpose of this study was to explore the upper limit of total bone mineral content (BMC, kg) and bone mineral density (BMD, g/cm2) in humans by estimating body composition of Sumo wrestlers. A total of 54 male college Sumo wrestlers were recruited for the study and assigned to 2 groups according to body weight (middleweight, 85-115 kg, n = 23 and heavyweight, >115 kg, n = 31). BMC, BMD, fat mass and lean soft tissue mass (LSTM) were measured using dual-energy X-ray absorptiometry (DXA) for the total and appendicular regions. Heavyweight Sumo wrestlers had significantly greater body weight, fat mass, and LSTM compared to middleweight Sumo wrestlers. Mean total BMC was significantly larger in heavyweight than middleweight Sumo wrestlers, respectively (The highest value was 4.16 kg.). Total BMD was significantly higher in heavyweight compared to middleweight Sumo wrestlers (The highest value was 1.59 g/cm2.), and was significantly correlated with body weight, but not with fat mass and LSTM. Based on the present and previous studies, the upper limit of total BMC and BMD in humans with 150 kg bodyweight might be around 5.0 kg and 1.60 g/cm2.

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