Poor dietary habits have been implicated in the development of nonalcoholic fatty liver disease (NAFLD); however, little is known about the role of specific dietary patterns in the development of NAFLD. We examined prospective associations between dietary patterns and NAFLD in a population-based cohort of adolescents. Participants in the Western Australian Pregnancy Cohort (Raine) Study completed a food frequency questionnaire at 14 years and had liver ultrasound at 17 years (n=995). Healthy and Western dietary patterns were identified using factor analysis and all participants received a z-score for these patterns. Prospective associations between the dietary pattern scores and risk of NAFLD were analyzed using multiple logistic regression. NAFLD was present in 15.2% of adolescents. A higher Western dietary pattern score at 14 years was associated with a greater risk of NAFLD at 17 years (odds ratio (OR) 1.59; 95% confidence interval (CI) 1.17-2.14; P<0.005), although these associations were no longer significant after adjusting for body mass index at 14 years. However, a healthy dietary pattern at 14 years appeared protective against NAFLD at 17 years in centrally obese adolescents (OR 0.63; 95% CI 0.41-0.96; P=0.033), whereas a Western dietary pattern was associated with an increased risk of NAFLD. A Western dietary pattern at 14 years in a general population sample was associated with an increased risk of NAFLD at 17 years, particularly in obese adolescents. In centrally obese adolescents with NAFLD, a healthy dietary pattern may be protective, whereas a Western dietary pattern may increase the risk.

Nonalcoholic fatty liver disease (NAFLD) is a predominantly adult-diagnosed disorder. Knowledge regarding the epidemiology, phenotype, and metabolic risk factors, during adolescence is limited. We sought to determine the prevalence, phenotype, and predictors of NAFLD in 1170 community-based adolescents in the Western Australian Pregnancy Cohort (Raine) Study (the Raine Cohort) who underwent a cross-sectional assessment that included questionnaires, anthropometry, cardiovascular examinations, blood tests, and abdominal ultrasound examinations. Among the 1170 adolescents assessed, the prevalence of NAFLD was 12.8%. Females compared with males had a significantly higher prevalence of NAFLD (16.3% versus 10.1%, P = 0.004) and central obesity (33.2% versus 9.9%, P < 0.05). The severity of hepatic steatosis was associated with the body mass index, waist circumference, subcutaneous adipose tissue thickness (SAT), serum leptin level, homeostasis model assessment for insulin resistance score ( P < 0.001 for all), and serum alanine aminotransferase level ( P < 0.005) in both genders, but it was associated with increasing visceral adipose tissue thickness (VAT; P < 0.001) and decreasing serum adiponectin levels ( P < 0.05) in males alone. Males and females with NAFLD had similar amounts of SAT ( P > 0.05); however, in comparison with females with NAFLD, males with NAFLD had greater VAT, a more severe metabolic phenotype with higher glucose levels and systolic blood pressure and lower adiponectin and high-density lipoprotein cholesterol levels ( P < 0.001 for all), and greater measures of liver injury (alanine aminotransferase and aspartate aminotransferase, P < 0.001 for all). Similarly, metabolic syndrome was more common in males than females with NAFLD (24% versus 8%,' P = 0.01). Suprailiac skinfold thickness predicted NAFLD independently of the body mass index, insulin resistance, and VAT. Conclusion: Gender differences in adolescent NAFLD are related to differences in adipose distribution and adipocytokines. The male phenotype of NAFLD is associated with more adverse metabolic features and greater visceral adiposity than the female phenotype despite the lower prevalence of NAFLD. (Hepatology 2011;)

Iron is implicated in the pathogenesis of liver injury and insulin resistance (IR) and thus phlebotomy has been proposed as a treatment for nonalcoholic fatty liver disease (NAFLD). We performed a prospective 6‐month randomized, controlled trial examining the impact of phlebotomy on the background of lifestyle advice in patients with NAFLD. Primary endpoints were hepatic steatosis (HS; quantified by magnetic resonance imaging) and liver injury (determined by alanine aminotransaminase [ALT] and cytokeratin‐18 [CK‐18]). Secondary endpoints included insulin resistance measured by the insulin sensitivity index (ISI) and homeostasis model of assessment (HOMA), and systemic lipid peroxidation determined by plasma F2‐isoprostane levels. A total of 74 subjects were randomized (33 phlebotomy and 41 control). The phlebotomy group underwent a median (range) of 7 (1‐19) venesection sessions and had a significantly greater reduction in ferritin levels over 6 months, compared to controls (−148 ± 114 vs. −38 ± 89 ng/mL; P < 0.001). At 6 months, there was no difference between phlebotomy and control groups in HS (17.7% vs. 15.5%; P = 0.4), serum ALT (36 vs. 46 IU/L; P = 0.4), or CK‐18 levels (175 vs. 196 U/L; P = 0.9). Similarly, there was no difference in end‐of‐study ISI (2.5 vs. 2.7; P = 0.9), HOMA (3.2 vs. 3.2; P = 0.6), or F2‐isoprostane levels (1,332 vs. 1,190 pmmol/L; P = 0.6) between phlebotomy and control groups. No differences in any endpoint were noted in patients with hyperferritinemia at baseline. Among patients undergoing phlebotomy, there was no correlation between number of phlebotomy sessions and change in HS, liver injury, or IR from baseline to end of study. Conclusion: Reduction in ferritin by phlebotomy does not improve liver enzymes, hepatic fat, or IR in subjects with NAFLD. (Hepatology 2015;61:1555–1564)

Background ‘Accelerated ageing’, assessed by adult DNA methylation predicts cardiovascular disease (CVD). Adolescent accelerated aging might predict CVD earlier. We investigated whether epigenetic age acceleration (assessed age 17-years) associated with adiposity/CVD-risk measured (ages 17, 20, 22-years), and projected CVD by middle-age. Methods DNA methylation measured in peripheral blood provided 2 estimates of epigenetic age acceleration; intrinsic (IEAA, (preserved across cell types) and extrinsic (EEAA, dependent on cell admixture and methylation levels within each cell type). Adiposity was assessed by anthropometry, ultrasound and DEXA (ages 17, 20, 22 years). CVD-risk factors (lipids, HOMA-IR, blood pressure, inflammatory markers) were assessed at age 17-years. CVD development by age 47 years was calculated by Framingham algorithms. Results are presented as regression coefficients/5-year epigenetic age acceleration (IEAA/EEAA) for adiposity, CVD-risk factors and CVD development. Results In 995 participants (49.6% female, age 17.3+/-0.6 years), EEAA (/5-years) was associated with increased BMI of 2.4% (95%CI 1.2-3.6%) and 2.4% (0.8-3.9%) at 17 and 22 years, respectively. EEAA was associated with increases of 23% (3-33%) in hsCRP, 10% (4-17%) in interferon-gamma induced protein (IP-10) and 4% (2-6%) in tumour necrosis factor receptor 2 (sTNFR2), adjusted for BMI and HOMA-IR. EEAA(/5-years) results in a 4% increase in hard endpoints of CVD by 47 years old and a 3% increase, after adjustment for conventional risk factors. Conclusions Accelerated epigenetic age in adolescence was associated with inflammation, BMI measured 5 years later, and probability of middle-age CVD. Irrespective whether this is cause or effect, assessing epigenetic age might refine disease prediction.