scholarly journals Vimentin is required for normal accumulation of body fat

2019 ◽  
Vol 400 (9) ◽  
pp. 1157-1162 ◽  
Author(s):  
Ulrika Wilhelmsson ◽  
Pia Stillemark-Billton ◽  
Jan Borén ◽  
Milos Pekny

Abstract Intermediate filaments (nanofilaments) have many functions, especially in response to cellular stress. Mice lacking vimentin (Vim−/−) display phenotypes reflecting reduced levels of cell activation and ability to counteract stress, for example, decreased reactivity of astrocytes after neurotrauma, decreased migration of astrocytes and fibroblasts, attenuated inflammation and fibrosis in lung injury, delayed wound healing, impaired vascular adaptation to nephrectomy, impaired transendothelial migration of lymphocytes and attenuated atherosclerosis. To address the role of vimentin in fat accumulation, we assessed the body weight and fat by dual-energy X-ray absorptiometry (DEXA) in Vim−/− and matched wildtype (WT) mice. While the weight of 1.5-month-old Vim−/− and WT mice was comparable, Vim−/− mice showed decreased body weight at 3.5, 5.5 and 8.5 months (males by 19–22%, females by 18–29%). At 8.5 months, Vim−/− males and females had less body fat compared to WT mice (a decrease by 24%, p < 0.05, and 33%, p < 0.0001, respectively). The body mass index in 8.5 months old Vim−/− mice was lower in males (6.8 vs. 7.8, p < 0.005) and females (6.0 vs. 7.7, p < 0.0001) despite the slightly lower body length of Vim−/− mice. Increased mortality was observed in adult Vim−/− males. We conclude that vimentin is required for the normal accumulation of body fat.

2017 ◽  
Vol 60 (No. 12) ◽  
pp. 682-690
Author(s):  
A. Charuta ◽  
MR Tatara ◽  
M. Dzierzecka ◽  
E. Polawska ◽  
I. Ptaszynska-Sarosiek

The aim of this study was to evaluate interrelationships of body weight and bone weight and densitometric properties of the tibiotarsus in White Koluda Geese (W31) in the post-hatching period. The study was performed using dual-energy X-ray absorptiometry (DEXA) and peripheral quantitative computed tomography (pQCT) at two different parts of tibia: proximal metaphysis and mid-diaphysis. The investigation was performed on 100 bones obtained from males and females at the age of 1, 14, 28, 42 and 56 days of life. All the calculations were performed using the Statistica 9.0 software (StatSoft, Inc. Tulsa, USA). Pearson&rsquo;s correlation coefficient of body weight and bone weight with all the investigated variables of bone was determined. Depending on the method used for densitometric measurements &ndash; DEXA or pQCT, the current study has revealed significant differences in the number of correlations of bone weight and body weight with the evaluated densitometric parameters. Sex-related differences in the investigated interrelationships were also found. In the case of proximal epiphysis, negative correlations of vBMD, tBMC, CTR_DEN and CRT_CNT with body weight and bone weight dominated in one-day-old males. Based on the current observations and the negative correlations of body weight and vBMD, CRT_DEN and TRAB_DEN obtained in the mid-diaphysis of tibiotarsus at the age of 14 days of life, it was concluded that this bone is much more prone to deformations and fractures in males than in females.


2019 ◽  
Vol 4 (1) ◽  

The objective of the present study was to compare any relationship between normal blood pressure and body weight. Normal blood pressure is very crucial for our life. Blood pressure is important because it provides oxygen and nutrients to our tissues and organs, this pressure cause the blood to flow throughout the body via arteries. Blood pressure is developed when our heart pumps the blood on contraction with heart beats. Body weight of human is measured in kilograms. Body weight fluctuation occurs due to the water amount in our body. There are many methods to access the body weight like dual-energy X-ray absorptiometry and the percentage of muscles, fats and bones in a human body. We used an instrument known as Sphygmomanometer. We measured weight of individuals, made individual stand on the machine and kept aside all the things and accessories like mobile phone, heavy jackets and shoes. We used a spring scale to measure and weight of a body. In this project, a questionnaire was prepared and asked the subjects about their blood pressure and measured the weight.


2006 ◽  
Vol 3 (2) ◽  
pp. 200-209 ◽  
Author(s):  
Kate A. Heelan ◽  
Joey C. Eisenmann

Background:It is uncertain as to whether physical activity (PA) may influence the body composition of young children.Purpose:To determine the association between PA, media time, and body composition in children age 4 to 7 y.Methods:100 children (52 girls, 48 boys) were assessed for body-mass index (BMI), body fat, fat mass (FM), and fat-free mass using dual energy x-ray absorbtiometryptiometry (DXA). PA was monitored using accelerometers and media time was reported by parental proxy.Results:In general, correlations were low to moderate at best (r < 0.51), but in the expected direction. Total media time and TV were significantly associated with BMI (r = 0.51, P < 0.05) and FM (r = 0.29 to 0.30, P < 0.05) in girls. In boys, computer usage was significantly associated with FM in boys (r = 0.31, P < 0.05).Conclusion:The relatively low correlations suggest that other factors may influence the complex, multi-factorial body composition phenotype of young children.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1422.2-1422
Author(s):  
Y. Gorbunova ◽  
T. Popkova ◽  
T. Panafidina ◽  
N. Demin ◽  
E. Nasonov ◽  
...  

Background:A redistribution of body fat (abdominal obesity) is quite common in RA patients. Such parameters as body mass index (BMI) and waist circumference do not distinguish or quantify fat and lean (muscle) mass. For that purpose, dual-energy X-ray absorptiometry (DXA) is usually used.Objectives:to compare quantitative body composition in patients with early RA at baseline and after 24 weeks of therapy with different regimens.Methods:The study included 37pts (31 women /6 men) with early RA (ACR/EULAR criteria, 2010), 57 [46.5, 62,0] years old, naïve to treatment with glucocorticoids and disease-modifying anti-rheumatics (DMARDs). Pts were seropositive for IgM RF (76%) and anti-CCP (92%), with highly active RA (DAS28 5,5 [5,1; 6,0]; SDAI 32,4 [22,4; 42], CDAI 29,0 [19,7; 39,5]) scores, and median disease duration of 6.0 [5,5;15.5] months. Methotrexate (MTX) 10 [10-15] mg/week subcutaneously was initiated in all included patients as first line therapy for 12 weeks. By this time point therapy was reviewed in 19 patients (51%) due to MTX inefficacy and adalimumab (ADA) at 40 mg once every 2 weeks was added on top of MTX. DXA scan (HOLOGIC, USA) was used to measure body composition at baseline and after 6mths of treatment with the protocol assessing total body, body fat and lean muscle mass.Results:Based on therapeutic regimens at week 24 all study subjects were divided into 2 groups: Group I (n=18) receiving MTX monotherapy, Group II (n=19) – the combination of MTX and ADA (Table 1). Group I patients had lower body weight, lean and fat mass vs patients from Group II (62 kg vs. 73.7 kg; 40.6 kg vs. 49.7 kg; 21.0 kg vs. 25.8 kg, respectively (p<0.05 in all cases) at baseline. 24 weeks of combination therapy eventuated in body weight gain (73.7 kg vs. 75.8 kg), accumulation of fat (25.8 kg vs. 28.1 kg) and unchanged lean tissue mass. In contrast, patients on MTX monotherapy managed to increase their lean mass (40.6 kg vs. 41.6 kg) without gaining in total fat mass.Table 1.IndicesI group (n=18),monotherapy МТII group (n=19),combination therapy (MTX, ADA)baseline24 weeksΔ,%baseline24 weeksΔ,%Body fat mass, kg21,0 [17,2;26,2]**23,4 [17,5;29,7]+1125,8 [18,4;35,0]28,1 [21,4;37,9]*+9Lean mass, kg40,6 [37,3;44,7]**41,6 [38,2;46,4]***/*+2,549,7 [39,0;56,1]49,9 [41,0;57,6]0,4Total mass, kg62,0 [57,7;77,6]**64,1 [59,5;81,6]***+3,473,7 [64,5;97,9]75,8 [66,8;102,1]*+2,8*p<0,05 reliability of differences in parameters before treatment and after 6mth (Wilcoxon); **p<0.05 differences in baseline values in groups I and II (Mann-Whitney test);***p<0.05 difference in the indices between the groups by the 6mth of therapy; Δ,% difference in indices between the groups by the 6mth of therapy.Conclusion:In general, RA patients on treatment tend to gain weight by week 24. Patients who failed on MTX monotherapy by week 24 and were switched to combination therapy had higher fat mass at baseline. Mediations used for RA treatment produce multidirectional effects on quantitative parameters of body composition: MTX monotherapy triggers some increase of lean mass, while combination of MTX and bDMARD results in weight gain and increase of total and fat mass. These data need to be confirmed in large-scale studies with longer follow-up period.Disclosure of Interests:None declared


1998 ◽  
Vol 30 (2) ◽  
pp. 145-154 ◽  
Author(s):  
S. KIRCHENGAST ◽  
D. GRUBER ◽  
M. SATOR ◽  
W. KNOGLER ◽  
J. HUBER

This study examines the impact of nutritional status, classified by body mass index, on sex specific fat distribution patterns dependent on menopausal status in 467 pre-, peri- or postmenopausal females. Absolute and relative amounts of upper and lower body fat were estimated by means of dual energy X-ray absorptiometry. It was found that low weight, independent of menopausal status, leads to the typical gynoid pattern of fat distribution while excess weight and obesity result in the android pattern of distribution in pre- and postmenopausal women.


2021 ◽  
pp. 30-34
Author(s):  
O. A. Nikitinskaya ◽  
N. V. Toroptsova

Obesity is a risk factor for many chronic diseases. Several research methods are used to determine the amount of body fat, including the «gold standard» dual-energy X-ray absorptiometry (DXA). The bioelectrical impedance analysis (BIA) method is an alternative for assessing body composition that does not require special conditions for placement and examination, but the accuracy of its results depends on the hydration of the body.Objective. To compare the results of determining the percentage of body fat using multi-frequency (MF) BIA and DXA.Material and methods. The study included 20 volunteers (11 women and 9 men) aged 26 to 70 years without serious metabolic, cardiovascular or endocrine diseases. Two repeated measurements were performed using the MF-BIA method on the MS FIT device and the DXA method on the Lunar Prodigy Advance device.Results. There were no significant differences in the average percentage of body fat in repeated measurements by MF-BIA and DXA methods, and the intra-group correlation coefficients (r2 ) were 0.999 and 0.997, respectively. A high and significant correlation in percentage of body fat was found between the MF-BIA and DXA (r = 0.973, p < 0.001). The average difference between the results of these two methods was 0.1243%. Differences in percentage of body fat that exceeded two or more standard deviations were detected less than in 5% cases, so the data on body fat content estimated using DXA and BIA are consistent and can be considered almost equal.Conclusion. Our study has shown that the MS FIT body composition device using the MF-BIA method can be an alternative to DXA for assessing the percentage of body fat without introducing additional formulas to recalculate the data obtained.


Author(s):  
Reham A. Mostafa ◽  
Doaa R. Negm ◽  
Naser A. ElSawy

Background: Dual energy X-ray absorptiometry (DEXA) is the most accurate technique in determining fat percentage but it is unpotable, expensive, unavailable for general applicability. Objective: This study aimed to find the most accurate and easiest technique as alternative to DEXA for quick determination of body fat%. This study examined the accuracy of three models of Bioelectrical impedance analysis (BIA) technique (Fat Loss Monitor- Body Composition -Body Fat Analyzer) in determining the body fat percentage with using DEXA as a reference standard. Subject and Methods: A cross sectional study was carried out during the period from (28-9-2017) to (5-4-2018) among a random sample of (53) volunteers female student in Umm Al Qura University from Faculty of Applied Medical Science aged between (20-39 years) from different level of education. All subjects were generally healthy, data was collected through a structured questionnaire compose of three section. Demographic data was collected and anthropometric measurements were evaluated as well as body composition (Only body fat%) using DEXA, body composition monitor, fat loss monitor and body fat analyzer. Results: BMI classification of the total 53 subjects was including 8 healthy females, 17 overfat, 25 obese and 3 underweight. The fat% result from DEXA and body fat analyzer was significant difference at (P < 0.05). Fat percent result from DEXA and Body Composition device was non-significant difference at (P>0.05). The fat% result from DEXA and Fat Loss Monitor device was significant at difference (P<0.05). Conclusion: The most accurate of BIA technique was the Body Composition device compering to DEXA.


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