Definitions of Normal Liver Fat and the Association of Insulin Sensitivity with Acquired and Genetic NAFLD-A Systematic Review.

Non-alcoholic fatty liver disease (NAFLD) covers a spectrum of disease ranging from simple steatosis (NAFL) to non-alcoholic steatohepatitis (NASH) and fibrosis. "Obese/Metabolic NAFLD" is closely associated with obesity and insulin resistance and therefore predisposes to type 2 diabetes and cardiovascular disease. NAFLD can also be caused by common genetic variants, the patatin-like phospholipase domain-containing 3 (PNPLA3) or the transmembrane 6 superfamily member 2 (TM6SF2). Since NAFL, irrespective of its cause, can progress to NASH and liver fibrosis, its definition is of interest. We reviewed the literature to identify data on definition of normal liver fat using liver histology and different imaging tools, and analyzed whether NAFLD caused by the gene variants is associated with insulin resistance. Histologically, normal liver fat content in liver biopsies is most commonly defined as macroscopic steatosis in less than 5% of hepatocytes. In the population-based Dallas Heart Study, the upper 95th percentile of liver fat measured by proton magnetic spectroscopy (¹H-MRS) in healthy subjects was 5.6%, which corresponds to approximately 15% histological liver fat. When measured by magnetic resonance imaging (MRI)-based techniques such as the proton density fat fraction (PDFF), 5% macroscopic steatosis corresponds to a PDFF of 6% to 6.4%. In contrast to "Obese/metabolic NAFLD", NAFLD caused by genetic variants is not associated with insulin resistance. This implies that NAFLD is heterogeneous and that "Obese/Metabolic NAFLD" but not NAFLD due to the PNPLA3 or TM6SF2 genetic variants predisposes to type 2 diabetes and cardiovascular disease.

Phosphorylated IGFBP-1 as a non-invasive predictor of liver fat in NAFLD.

Insulin-like growth factor binding protein 1 (IGFBP-1) is a potentially interesting marker for liver fat in NAFLD as it is exclusively produced by the liver, and insulin is its main regulator. We determined whether measurement of fasting serum phosphorylated IGFBP-1 (fS-pIGFBP-1) helps to predict liver fat compared to routinely available clinical parameters and PNPLA3 genotype at rs738409. Liver fat content (proton magnetic resonance spectroscopy) was measured in 378 subjects (62% women, age 43 [30-54] years, BMI 32.7 [28.1-39.7] kg/m(2), 46% with NAFLD). Subjects were randomized to discovery and validation groups, which were matched for clinical and biochemical parameters and PNPLA3 genotype. Multiple linear regression and Random Forest modeling were used to identify predictors of liver fat. The final model, % Liver Fat Equation', included age, fS-pIGFBP-1, S-ALT, waist-to-hip ratio, fP-Glucose and fS-Insulin (adjusted R(2) = 0.44 in the discovery group, 0.49 in the validation group, 0.47 in all subjects). The model was significantly better than a model without fS-pIGFBP-1 or S-ALT or S-AST alone. Random Forest modeling identified fS-p-IGFBP-1 as one of the top five predictors of liver fat (adjusted R(2) = 0.39). Therefore, measurement of fS-pIGFBP-1 may help in non-invasive prediction of liver fat content.

Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) is a major risk factor leading to chronic liver disease and type 2 diabetes. Here we chart liver metabolic activity and functionality in NAFLD by integrating global transcriptomic data, from human liver biopsies, and metabolic flux data, measured across the human splanchnic vascular bed, within a genome-scale model of human metabolism. We show that an increased amount of liver fat induces mitochondrial metabolism, lipolysis, glyceroneogenesis and a switch from lactate to glycerol as substrate for gluconeogenesis, indicating an intricate balance of exacerbated opposite metabolic processes in glycemic regulation. These changes were associated with reduced metabolic adaptability on a network level in the sense that liver fat accumulation puts increasing demands on the liver to adaptively regulate metabolic responses to maintain basic liver functions. We propose that failure to meet excessive metabolic challenges coupled with reduced metabolic adaptability may lead to a vicious pathogenic cycle leading to the co-morbidities of NAFLD.

Adipocyte size is associated with NAFLD independent of obesity, fat distribution, and PNPLA3 genotype.

OBJECTIVE: Adipocyte hypertrophy has been suggested to be causally linked with inflammation and systemic insulin resistance. The aim of the study was to determine whether increased adipocyte size is associated with increased liver fat content due to nonalcoholic fatty liver disease (NAFLD) in humans independent of obesity, fat distribution and genetic variation in the patatin-like phospholipase domain-containing 3 gene (PNPLA3; adiponutrin) at rs738409. DESIGN AND METHODS: One hundred nineteen non-diabetic subjects in a cross-sectional study with a median age of 39 years, mean ± SD BMI of 30.0 ± 5.7 kg m(-2) were studied. Abdominal subcutaneous (SC) adipocyte size, liver fat [proton magnetic resonance spectroscopy ((1) H-MRS)], intra-abdominal (IA), and abdominal SC adipose tissue volumes [magnetic resonance imaging (MRI)] and the PNPLA3 genotype at rs738409 were determined. Univariate and multiple linear regression analysis were used to identify independent predictors of liver fat content. RESULTS: In multiple linear regression analysis, age, gender, BMI, the IA/SC ratio, and PNPLA3 genotype explained 42% of variation in liver fat content. Addition of adipocyte size (P < 0.0001) to the model increased the percent of explanation to 53%. Thus, 21% of known variation in liver fat could be explained by adipocyte size alone. CONCLUSIONS: Increased adipocyte size highly significantly contributes to liver fat accumulation independent of other causes.