Association of Fat mass and obesity gene (FTO) polymorphism with COVID-19 severity in Egyptian obese patients

Background. ThePPARG2Pro12Ala (rs1801282) andIL6-174G >C (rs1800795) have important function in body weight regulation and a potential role in obesity risk. We aimed to investigate the association betweenPPARG2Pro12Ala andIL6-174G >C variants and the genotypes interaction with body composition, metabolic markers, food consumption, and physical activity in severely obese patients.Methods. 150 severely obese patients (body mass index (BMI) ≥ 35 kg/m2) from Central Brazil were recruited. Body composition, metabolic parameters, physical activity, and dietary intake were measured. The genotype was determined by the qPCR TaqMan Assays System. Multiple linear regression and multiple logistic regression models were fitted adjusting for confounders.Results. Ala carriers of the Pro12Ala polymorphism had higher adiposity measures (BMI:p=0.031, and fat mass:p=0.049) and systolic blood pressure (p=0.026) compared to Pro homozygotes. We found no important associations between the -174G >C polymorphism and obesity phenotypes. When genotypes were combined, individuals with genotypes ProAla + AlaAla and GC + CC presented higher BMI (p=0.029) and higher polyunsaturated fatty acids (PUFAs) consumption (p=0.045) compared to the ones with genotypes ProPro and GG, and individuals carriers of thePPARG2Ala allele only (genotype ProAla + AlaAla and GG) had higher fat mass and systolic and diastolic blood pressure compared to the ones with genotypes ProPro and GG.Conclusions. Severely obese individuals carrying the Ala allele of thePPARG2Pro12Ala polymorphism had higher measures of adiposity and blood pressure, while no important associations were found for theIL6-174G >C polymorphism.

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UCP1 -3826 A>G polymorphism affects weight, fat mass, and risk of type 2 diabetes mellitus in grade III obese patients

Nutrition ◽

10.1016/j.nut.2015.07.016 ◽

2016 ◽

Vol 32 (1) ◽

pp. 83-87 ◽

Cited By ~ 11

Author(s):

Carolina Ferreira Nicoletti ◽

Ana Paula Rus Perez de Oliveira ◽

Maria Jose Franco Brochado ◽

Bruno Parenti de Oliveira ◽

Marcela Augusta de Souza Pinhel ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Fat Mass ◽

Obese Patients ◽

Grade Iii

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The fat mass and obesity gene is linked to reduced verbal fluency in overweight and obese elderly men

Neurobiology of Aging ◽

10.1016/j.neurobiolaging.2011.02.006 ◽

2011 ◽

Vol 32 (6) ◽

pp. 1159.e1-1159.e5 ◽

Cited By ~ 28

Author(s):

Christian Benedict ◽

Josefin A. Jacobsson ◽

Elina Rönnemaa ◽

Markus Sällman–Almén ◽

Samantha Brooks ◽

...

Keyword(s):

Fat Mass ◽

Verbal Fluency ◽

Elderly Men ◽

Obesity Gene

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Association of Body Composition and Sarcopenia with NASH in Obese Patients

Journal of Clinical Medicine ◽

10.3390/jcm10153445 ◽

2021 ◽

Vol 10 (15) ◽

pp. 3445

Author(s):

Sophia Marie-Therese Schmitz ◽

Lena Schooren ◽

Andreas Kroh ◽

Alexander Koch ◽

Christine Stier ◽

...

Keyword(s):

Skeletal Muscle ◽

Body Composition ◽

Fat Mass ◽

Inflammatory Diseases ◽

Statistical Significance ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Obese Patients ◽

Skeletal Muscle Index ◽

P Values

Obese patients often suffer from sarcopenia or sarcopenic obesity (SO) that can trigger inflammatory diseases including non-alcoholic steatohepatitis (NASH). Sarcopenia and SO can be diagnosed through measuring parameters of body composition such as skeletal muscle mass (SMM), skeletal muscle index (SMI) and fat mass (FM) obtained by bioelectrical impedance analysis (BIA). The aim of this study was to assess the relationship of body composition and NASH in patients with obesity. A total of 138 patients with obesity that underwent bariatric surgery were included in this study. BIA was used to estimate body composition. A liver biopsy was taken intraoperatively and histological assessment of NASH was performed. A total of 23 patients (17%) were classified as NASH and 65 patients (47%) met the criteria for borderline NASH. Body mass index (BMI) was significantly higher in patients with NASH compared to borderline NASH and no NASH (56.3 kg/m2 vs. 51.6 kg/m2 vs. 48.6 kg/m2, p = 0.004). Concerning body composition, FM, but also SMM and SMI were significantly higher in patients with NASH (p-values 0.011, 0.005 and 0.006, resp.). Fat mass index (FMI) and weight-adjusted skeletal muscle index (SMI_weight) failed to reach statistical significance (p-values 0.067 and 0.661). In patients with obesity, higher FM were associated with NASH. Contrary to expectations, SMM and SMI were also higher in patients with NASH. Therefore, higher body fat, rather than sarcopenia and SO, might be decisive for development of NASH in patients with obesity.

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Post-Exercise Changes of Beta Hydroxybutyrate as a Predictor of Weight Changes

Physiological Research ◽

10.33549/physiolres.932815 ◽

2014 ◽

pp. S321-S325 ◽

Cited By ~ 4

Author(s):

M. MATOULEK ◽

S. SVOBODOVA ◽

R. VETROVSKA ◽

Z. STRANSKA ◽

S. SVACINA

Keyword(s):

Physical Activity ◽

Fat Mass ◽

Early Period ◽

Obese Patients ◽

Weight Changes ◽

Fitness Program ◽

Post Exercise ◽

Activity Program ◽

Rate Test ◽

Beta Hydroxybutyrate

The aim was to find the differences in ketogenesis initiation in the early period after the exercise in obese patients and to find if these changes may predict the weight loss during the physical activity program. 96 females were enrolled. A clamped heart rate test (CHR) was performed to establish comparable exercise intensity. Blood samples for beta hydroxybutyrate (BOHB) assessment were collected prior, immediately after and 60 min after the test. Patients underwent a three month fitness program. Anthropometric measurements (fat mass and biochemical parameters) were measured. An energy intake was monitored and comparable in all subjects. A significant increase of BOHB was found in 60th minute after the test, when compared with initiation levels (BOHB1 vs. BOHB3; p=0.03). This increase correlates with % fat mass (R=0.196; p=0.02) and negatively with age (R= –0.147; p=0.05) and with weight reduction during the three-month program (R= –0.299; p=0.03). Serum BOHB increase after the single exercise may detect individuals with an ability to induce lipolysis in three-month program of physical activity for obese patients.

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Involvement of fat mass and obesity gene (FTO) in the anti-obesity action of Annona muricata Annonaceae: in silico and in vivo studies

Journal of Diabetes & Metabolic Disorders ◽

10.1007/s40200-020-00491-7 ◽

2020 ◽

Vol 19 (1) ◽

pp. 197-204

Author(s):

Olusola Olalekan Elekofehinti ◽

Akeem Olalekan Lawal ◽

Oluwamodupe Cecilia Ejelonu ◽

Olorunfemi Raphael Molehin ◽

Courage Dele Famusiwa

Keyword(s):

Fat Mass ◽

In Silico ◽

In Vivo Studies ◽

Annona Muricata ◽

Obesity Gene

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Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2016-2385 ◽

2016 ◽

Vol 102 (2) ◽

pp. 488-498 ◽

Cited By ~ 50

Author(s):

Diego Gomez-Arbelaez ◽

Diego Bellido ◽

Ana I. Castro ◽

Lucia Ordoñez-Mayan ◽

Jose Carreira ◽

...

Keyword(s):

Weight Loss ◽

Body Composition ◽

Fat Mass ◽

Bioelectrical Impedance ◽

Fat Free Mass ◽

Obese Patients ◽

Body Composition Assessment ◽

Visceral Mass ◽

Low Calorie ◽

Composition Changes

Abstract Context: Common concerns when using low-calorie diets as a treatment for obesity are the reduction in fat-free mass, mostly muscular mass, that occurs together with the fat mass (FM) loss, and determining the best methodologies to evaluate body composition changes. Objective: This study aimed to evaluate the very-low-calorie ketogenic (VLCK) diet-induced changes in body composition of obese patients and to compare 3 different methodologies used to evaluate those changes. Design: Twenty obese patients followed a VLCK diet for 4 months. Body composition assessment was performed by dual-energy X-ray absorptiometry (DXA), multifrequency bioelectrical impedance (MF-BIA), and air displacement plethysmography (ADP) techniques. Muscular strength was also assessed. Measurements were performed at 4 points matched with the ketotic phases (basal, maximum ketosis, ketosis declining, and out of ketosis). Results: After 4 months the VLCK diet induced a −20.2 ± 4.5 kg weight loss, at expenses of reductions in fat mass (FM) of −16.5 ± 5.1 kg (DXA), −18.2 ± 5.8 kg (MF-BIA), and −17.7 ± 9.9 kg (ADP). A substantial decrease was also observed in the visceral FM. The mild but marked reduction in fat-free mass occurred at maximum ketosis, primarily as a result of changes in total body water, and was recovered thereafter. No changes in muscle strength were observed. A strong correlation was evidenced between the 3 methods of assessing body composition. Conclusion: The VLCK diet-induced weight loss was mainly at the expense of FM and visceral mass; muscle mass and strength were preserved. Of the 3 body composition techniques used, the MF-BIA method seems more convenient in the clinical setting.

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