scholarly journals Changes in body composition depending on the rs1801282 PPARG polymorphism in patients with different variants of treatment of early carbohydrate metabolism disorders

2021 ◽  
Vol 12 (4) ◽  
pp. 27-33
Author(s):  
F. V. Valeeva ◽  
M. S. Medvedeva ◽  
K. B. Khasanova ◽  
T. S. Turtseva ◽  
T. S. Yilmaz
Keyword(s):  
Body Composition ◽  
Carbohydrate Metabolism ◽  
Therapy Group ◽  
Cell Mass ◽  
Diet Therapy ◽  
The Body ◽  
Body Cell Mass ◽  
Weight Changes ◽  
Body Cell ◽  
Simple Carbohydrates

Objective: To study the effect of the rs1801282 PPARG polymorphism on changes in the body composition of patients with early carbohydrate metabolism disorders in groups with different variants of treatment.Materials and Methods: The study involved 64 patients (8 men and 56 women) with early carbohydrate metabolism disorders. At baseline, all patients underwent genotyping for the rs1801282 PPARG polymorphism and body composition determination with bioelectrical impedance analysis (BIA). Then, the patients were divided into two groups depending on the type of therapy. The patients from Group 1 (40 subjects, mean age 45.2±15.4 years) kept a generally accepted diet with the exclusion of simple carbohydrates and limitation of complex carbohydrates and fats. The patients from Group 2 (24 subjects, mean age 51.2±14.5 years) took metformin in addition to the diet therapy. The effects of different types of treatment on body composition changes were assessed with follow-up BIA 3 months after the start of treatment.Results: Carriers of the mutant G allele of rs1801282 PPARG in the metformin and diet therapy group showed a significant increase in the content of body cell mass (1.28±0.51% vs 0.36±0.37%; P = 0.021) compared with CC homozygotes in the absence of differences in body weight changes (P > 0.05).Conclusions: The presence of the mutant allele G of rs1801282 PPARG promotes the increase in body cell mass in case of adding metformin to the diet therapy in patients with early carbohydrate metabolism disorders.

Bioelectrical Impedance in Clinical Practice

DICP ◽  
1989 ◽  
Vol 23 (7-8) ◽  
pp. 548-555 ◽  
Author(s):  
Barbara J. Zarowitz ◽  
Alison M. Pilla
Keyword(s):  
Body Composition ◽  
Clinical Practice ◽  
Low Voltage ◽  
Cell Mass ◽  
Bioelectrical Impedance ◽  
The Body ◽  
Pharmacokinetic Parameters ◽  
Composition Analysis ◽  
Body Cell Mass ◽  
Body Cell

Bioelectrical impedance (BI) relies on the conduction of a low-voltage alternating current through the body. Lean tissue and fluids containing electrolytes conduct the current and cell membranes serve as capacitors and account for capacitive resistance. Fat and bone are poor conductors. Measurement of the voltage drop of the applied current yields resistance (R) and reactance (Xc). R and Xc are used with height, weight, age, and gender in a number of multiple regression relationships to predict body composition compartments such as fat-free mass, lean body mass, extracellular mass, and body cell mass. The technique has been compared with and validated against traditional measures of body composition analysis. In clinical practice, BI has been used to monitor fluid status in burn and dialysis patients, assess changes of body cell mass with nutritional repletion, and predict pharmacokinetic parameters and dose of theophylline and aminoglycoside antibiotics. BI is a noninvasive, safe, rapid, and reproducible technique with exciting potential in clinical practice.

scholarly journals Low serum TSH levels are associated with low values of fat-free mass and body cell mass in the elderly

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Till Ittermann ◽  
Marcello R. P. Markus ◽  
Martin Bahls ◽  
Stephan B. Felix ◽  
Antje Steveling ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Cell Mass ◽  
The Elderly ◽  
Fat Free Mass ◽  
Body Cell Mass ◽  
Body Cell ◽  
Independent Population ◽  
Serum Tsh ◽  
Tsh Levels

AbstractPrevious studies on the association between thyroid function and body composition are conflicting and showed strong differences across age groups. Our aim was to clarify age-specific associations of serum thyroid-stimulating hormone (TSH) levels with markers of body composition including body mass index (BMI), waist circumference, fat mass (FM), fat-free mass (FFM) and body cell mass (BCM). We used data from two independent population-based cohorts within the framework of the Study of Health in Pomerania. The study population included 5656 individuals aged 20 to 90 years. Markers of body composition were measured by bioelectrical impedance analysis. Serum TSH levels were significantly positively associated with BMI (β = 0.16; 95% confidence interval [CI]: 0.06 to 0.27), waist circumference (β = 0.35; 95% CI: 0.08 to 0.62) and FM (β = 0.32; 95% CI: 0.12 to 0.52), but not with FFM and BCM. Interaction analysis revealed positive associations of serum TSH levels with BMI, waist circumference, FM, FFM and BCM in individuals older than 60 years, while no such associations were observed in younger individuals. We demonstrated that lower serum TSH levels were accompanied with lower values of BMI, waist circumference, FM, FFM, and BCM in the elderly, while no such associations were observed in younger individuals.

scholarly journals Associations among body composition, inflammatory profile and disease extent in ulcerative colitis patients

2018 ◽  
Vol 64 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Ana Paula Signori Urbano ◽  
Ligia Yukie Sassaki ◽  
Mariana de Souza Dorna ◽  
Paula Torres Presti ◽  
Maria Antonieta de Barros Leite Carvalhaes ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Body Composition ◽  
Lean Mass ◽  
Clinical Remission ◽  
Inflammatory Markers ◽  
Cell Mass ◽  
Body Cell Mass ◽  
Disease Extent ◽  
Body Cell ◽  
Inflammatory Profile

Summary Objective: The aim of our study was to assess body composition status and its association with inflammatory profile and extent of intestinal damage in ulcerative colitis patients during clinical remission. Method: This is a cross-sectional study in which body composition data (phase angle [PhA], fat mass [FM], triceps skin fold thickness [TSFt], mid-arm circumference [MAC], mid-arm muscle circumference [MAMC], adductor pollicis muscle thickness [APMt]), inflammatory profile (C-reactive protein [CRP], a1-acid glycoprotein, erythrocyte sedimentation rate [ESR]) and disease extent were recorded. Results: The mean age of the 59 patients was 48.1 years; 53.3% were women. Most patients were in clinical remission (94.9%) and 3.4% was malnourished according to body mass index. PhA was inversely correlated with inflammatory markers such as CRP (R=-0.59; p<0.001) and ESR (R=-0.46; p<0.001) and directly correlated with lean mass: MAMC (R=0.31; p=0.01) and APMt (R=0.47; p<0.001). Lean mass was inversely correlated with non-specific inflammation marker (APMt vs. ESR) and directly correlated with hemoglobin values (MAMC vs. hemoglobin). Logistic regression analysis revealed that body cell mass was associated with disease extent (OR 0.92; 95CI 0.87-0.97; p<0.01). Conclusion: PhA was inversely correlated with inflammatory markers and directly correlated with lean mass. Acute inflammatory markers were correlated with disease extent. Body cell mass was associated with disease extent.

The Quality of the Body Cell Mass

2000 ◽  
pp. 18-32 ◽  
Author(s):  
Richard N. Pierson ◽  
Jack Wang
Keyword(s):  
Cell Mass ◽  
The Body ◽  
Body Cell Mass ◽  
Body Cell
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