The Relationship of Subcutaneous Adipose Tissue Topography (SAT-Top) by Means of LIPOMETER with Body Mass Index and Body Composition in Obese Children and Adolescents

2000 ◽  
pp. 36-45
Author(s):  
K. Sudi ◽  
R. Mo¨ller ◽  
E. Tafeit ◽  
G. Weinhandl ◽  
M.H. Borkenstein
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Adipose Tissue ◽  
Children And Adolescents ◽  
Body Mass ◽  
Subcutaneous Adipose Tissue ◽  
Obese Children ◽  
Relationship Of ◽  
Subcutaneous Adipose ◽  
The Relationship

INCREASED INTRAMUSCULAR ADIPOSE TISSUE IS RELATED TO INCREASED CAPILLARIZATION IN OLDER ADULTS

2020 ◽  
pp. 1-5
Author(s):  
O. Addison
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Medical Center ◽  
Linear Regression Analysis ◽  
Positive Development ◽  
Intramuscular Adipose Tissue ◽  
Relationship Of ◽  
The Relationship

Background: High levels of intramuscular adipose tissue and low levels of capillarization are both predicative of low muscle and mobility function in older adults, however little is known about their relationship. Objectives: The purpose of this study was to examine the relationship of intramuscular adipose tissue and capillarization in older adults. Setting: An outpatient medical center. Participants: Forty-seven sedentary adults (age 59.9 ± 1.0 years, BMI 32.0 ± 0.7 kg/m2, VO2max 22.4 ± 0.7 ml/kg/min); Measurements: All participants underwent CT scans to determine intramuscular adipose tissue and muscle biopsies to determine capillarization in the mid-thigh. A step-wise hierarchical linear regression analysis was used to examine the contributions of age, sex, race, body mass index, 2-hour postprandial glucose, VO2max, and muscle capillarization, to the variability in intramuscular adipose tissue. Results: The predictors as a group accounted for 38.1% of the variance in intramuscular adipose tissue, with body mass index and capillarization each significantly contributing to the final model (P<0.001). The part correlation of body mass index with intramuscular adipose tissue was r = 0.47, and the part correlation of capillarization with intramuscular adipose tissue was r = 0.39, indicating that body mass index and capillarization explained 22.1%, and 15.2% of the variance in intramuscular adipose tissue. Conclusions: While increased muscle capillarization is typically thought of as a positive development, in some clinical conditions, such as tendinopathies, an increase in capillarization is part of the pathological process related to expansion of the extracellular matrix and fibrosis. This may also be an explanation for the surprising finding that high capillarization is related to high levels of intramuscular adipose tissue. Future studies are necessary to determine the relationship of changes in both capillarization and intramuscular adipose tissue after interventions, such as exercise.

Effects of body mass index, mesenteric and abdominal subcutaneous adipose tissue on the spinopelvic parameters

2015 ◽  
Vol 127 (23-24) ◽  
pp. 935-941 ◽  
Author(s):  
Emine Uysal ◽  
Yahya Paksoy ◽  
Mustafa Koplay ◽  
Alaaddin Nayman ◽  
Serter Gumus
Keyword(s):  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Subcutaneous Adipose Tissue ◽  
Spinopelvic Parameters ◽  
Subcutaneous Adipose

scholarly journals Multifaceted genome-wide study identifies novel regulatory loci for body mass index in Indians

2019 ◽  
Author(s):  
Anil K Giri ◽  
Gauri Prasad ◽  
Khushdeep Bandesh ◽  
Vaisak Parekatt ◽  
Anubha Mahajan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Subcutaneous Adipose Tissue ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Genome Wide ◽  
Obesity Phenotype ◽  
Methylation Patterns ◽  
Subcutaneous Adipose

AbstractObesity, a risk factor for various human diseases originates through complex interactions between genes and prevailing environment that varies across populations. Indians exhibit a unique obesity phenotype likely attributed by specific gene pool and environmental factors. Here, we present genome-wide association study (GWAS) of 7,259 Indians to understand the genetic architecture of body mass index (BMI) in the population. Our study revealed novel association of variants in BAI3 (rs6913677) and SLC22A11 (rs2078267) at GWAS significance, and of ZNF45 (rs8100011) with near GWAS significance. As genetic loci may dictate the phenotype through modulation of epigenetic processes, we overlapped discovered genetic signatures with DNA methylation patterns of 236 Indian individuals, and analyzed expression of the candidate genes using publicly available data. The variants in BAI3 and SLC22A11 were found to dictate methylation patterns at unique CpGs harboring critical cis- regulatory elements. Further, BAI3, SLC22A11 and ZNF45 variants were found to overlie repressive chromatin, active enhancer, and active chromatin regions, in that order, in human subcutaneous adipose tissue in ENCODE database. Besides, the identified genomic regions represented potential binding sites for key transcription factors implicated in obesity and/or metabolic disorders. Interestingly, rs8100011 (ZNF45) acted as a robust cis-expression quantitative trait locus (cis-eQTL) in subcutaneous adipose tissue in GTEx portal, and ZNF45 gene expression showed an inverse correlation with BMI in skeletal muscle of Indian subjects. Further, gene-based GWAS analysis revealed CPS1 and UPP2 as additional leads regulating BMI in Indians. Our study decodes potential genomic mechanisms underlying obesity phenotype in Indians.

scholarly journals Functional correlates of detailed body composition in healthy elderly subjects

2018 ◽  
Vol 124 (1) ◽  
pp. 182-189 ◽  
Author(s):  
Corinna Geisler ◽  
Lisa Schweitzer ◽  
Manfred J. Müller
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Filtration Rate ◽  
Handgrip Strength ◽  
Plasma Leptin ◽  
Visceral Adipose ◽  
Subcutaneous Adipose ◽  
Individual Body

Methods of body composition analysis are now widely used to characterize health status, i.e., nutritional status, metabolic rates, and cardiometabolic risk factors. However, the functional correlates of individual body components have not been systematically analyzed. In this study, we have used a two-compartment model, which was assessed by air displacement plethysmography. Detailed body composition was measured by whole body magnetic resonance imaging in a healthy population of 40 Caucasians, aged 65–81 yr (20 men; body mass index range: 18.6–37.2 kg/m2). Physical, metabolic, as well as endocrine functions included pulmonary function, handgrip strength, gait speed, sit-to-stand test, physical activity, blood pressure, body temperature, resting energy expenditure (REE), liver and kidney functions (glomerular filtration rate), insulin sensitivity [homeostasis model assessment (HOMA)], plasma lipids, plasma leptin, testosterone, dehydroepiandrosterone, insulin-like growth factor I levels, thyroid status, vitamins, and inflammation. Individual body compartments were intercorrelated, e.g., skeletal muscle mass (SM) correlated with visceral adipose tissue ( r = 0.53) and kidneys ( r = 0.62). For the functional correlates, SM ( r = 0.58) and liver volume ( r = 0.63) were associated with REE, SM correlated with handgrip strength ( r = 0.57), and kidneys with glomerular filtration rate ( r = 0.57). While visceral adipose tissue correlated with HOMA ( r = 0.59), subcutaneous adipose tissue was related to plasma leptin levels ( r = 0.84). The subcutaneous adipose tissue-to-leptin relationship was moderated by inflammation increasing the explained variance of leptin levels by 4.0%. In linear regression analysis, detailed body composition explained variances in REE (75.0%), HOMA (41.0%), and leptin (78.0%) compared with a body mass index-based model (REE 16.0%, HOMA 31.0%, leptin 45.0%). In addition, detailed body composition explained 39.0% of the variance in kidney function. NEW & NOTEWORTHY BCA should be used to address specific body functions only. In clinical practice, there is need of a clear focus on the specific research question related to physical, metabolic, or endocrine functions.

Association of subcutaneous and visceral fat with circulating microRNAs in a middle-aged Japanese population

2017 ◽  
Vol 55 (4) ◽  
pp. 437-445 ◽  
Author(s):  
Eiji Munetsuna ◽  
Hiroya Yamada ◽  
Yoshitaka Ando ◽  
Mirai Yamazaki ◽  
Yoshiki Tsuboi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Body Fat ◽  
Visceral Fat ◽  
Subcutaneous Adipose Tissue ◽  
Circulating Microrna ◽  
High Group ◽  
Circulating Micrornas ◽  
Subcutaneous Adipose

Purpose It has been demonstrated that circulating microRNA profiles are affected by physiological conditions. Several studies have demonstrated that microRNAs play important roles in the regulation of adiposity. However, few have investigated the relationship between circulating microRNAs and obesity, which has become a major public health problem worldwide. This study investigated the association between circulating microRNAs and obesity in a Japanese population. Methods Obesity parameters, such as subcutaneous and visceral fat adipose tissue, body fat percentage, and body mass index were assessed in a cross-sectional sample of 526 participants who attended health examinations in Yakumo, Japan. In addition, five circulating microRNAs (miR-20a, -21, -27a, -103a, and -320), which are involved in adipocyte proliferation and differentiation, were quantified using real-time polymerase chain reaction amplification. Results We compared the circulating microRNA concentrations in a percentile greater than 75th (high) with below the value (low) of subcutaneous adipose tissue, visceral fat adipose tissue, body mass index, and per cent body fat. For visceral fat adipose tissue, significant decrease in miR-320 expression was observed in high group. Also, for body mass index, significant change of miR-20a, -27a, 103a, and 320 expression level was observed in high group. Multiple linear regression analysis demonstrated that circulating levels of some microRNA such as miR-27a were significantly associated with subcutaneous adipose tissue, visceral fat adipose tissue, and body mass index. Conclusions Our findings support the need for further studies to determine whether such changes are consistent across different populations and whether the identified microRNAs may represent novel biomarkers to predict the susceptibility and progression of obesity-related disorders.

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