Improvement of Type 2 Diabetes Mellitus and Attenuation of NAFLD Are Associated with the Success of Obesity Therapy.
Andreas SchmidMiriam AriansThomas KarraschJörn Pons-KühnemannAndreas SchäfflerMartin RoderfeldElke RoebPublished in: Journal of clinical medicine (2022)
Obesity and type 2 diabetes mellitus (T2D) represent important comorbidities of the metabolic syndrome, which are associated with non-alcoholic fatty liver disease (NAFLD)-related hepatic fibrosis. In total, 160 morbidly obese patients-81 following a low-calorie formula diet (LCD) program and 79 undergoing bariatric surgery (Roux-en-Y gastric bypass, RYGB)-were examined for anthropometric and metabolic parameters at base-line and during 12 months of weight loss, focusing on a putative co-regulation of T2D parameters and liver fibrosis risk. High NAFLD fibrosis scores (NFS) before intervention were associated with elevated HbA1c levels and T2D. Loss of weight and body fat percentage (BFL) were associated with improved glucose and lipid metabolism and reduced risk of NAFLD-related fibrosis, with particularly beneficial effects by RYGB. Both T2D improvement and NFS decrease were positively associated with high BFL. A highly significant correlation of NFS reduction with BFL was restricted to male patients while being absent in females, accompanied by generally higher BFL in men. Overall, the data display the relation of BFL, T2D improvement, and reduced NAFLD-related fibrosis risk during weight loss in morbidly obese individuals induced by diet or RYGB. Furthermore, our data suggest a considerable sexual dimorphism concerning the correlation of fat loss and improved risk of liver fibrosis.
Keyphrases
- weight loss
- roux en y gastric bypass
- bariatric surgery
- liver fibrosis
- obese patients
- gastric bypass
- metabolic syndrome
- glycemic control
- weight gain
- adipose tissue
- ejection fraction
- electronic health record
- newly diagnosed
- type diabetes
- mesenchymal stem cells
- end stage renal disease
- cardiovascular disease
- big data
- body composition
- physical activity
- blood pressure
- fatty acid
- mental health
- machine learning
- prognostic factors
- preterm infants
- body mass index
- bone marrow
- uric acid