79 research outputs found
Non-alcoholic fatty liver disease and cardiovascular risk: metabolic aspects and novel treatments
No full textNon-alcoholic fatty liver disease (NAFLD) isusually a silent disease that occurs in a very high proportionof people with features of the metabolic syndrome,including overweight, insulin resistance and type 2 diabetes.Because obesity and type 2 diabetes are now extremelycommon in Westernised societies, it is likely that theprevalence of NAFLD increases markedly in the future.Although previously it was thought that NAFLD washarmless, it is now recognised that NAFLD can be a progressiveliver condition that increases risk of cirrhosis, endstageliver disease and hepatocellular carcinoma. Additionally,liver fat accumulation causes insulin resistanceand increases risk of type 2 diabetes. Increasing evidencenow shows NAFLD is a risk factor for cardiovasculardisease (CVD). The purpose of this review is to brieflydiscuss the pathogenesis of NAFLD, to describe the relationshipbetween NAFLD and CVD and the mechanismslinking both conditions and to discuss some of the treatmentoptions (including lifestyle, nutrition and drugs) thatmay influence both NAFLD and risk of CVD
Improvement in non-alcoholic fatty liver disease severity is associated with a reduction in carotid intima-media thickness progression.
No full textBackground and aims: n-3 polyunsaturated fatty acid (PUFA) treatment may decrease liver fat in non-alcoholic fatty liver disease (NAFLD), but uncertainty exists whether this treatment also decreases cardiovascular disease (CVD) risk in NAFLD. We tested whether 15–18 months n-3 PUFA [docosahexaenoic acid (DHA) and eicosapentaenoic acid] (Omacor/Lovaza, 4 g/day) vs placebo decreased carotid intima-media thickness (CIMT) progression, a surrogate marker of CVD risk. We also evaluated if improvement in markers of NAFLD severity was associated with decreased CIMT progression over time.Methods: In a pre-specified sub-study of the WELCOME (Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy) trial (NCT00760513), CIMT was measured using B-mode ultrasound while NAFLD severity was assessed by measuring liver fat percentage (magnetic resonance spectroscopy) and hepatic necro-inflammation (serum cytokeratin-18 (CK-18) concentration), at baseline and end of study.Results: 92 patients (age 51.5 ± 10.7 years, 57.6% men) completed the study. In the treatment group (n = 45), CIMT progressed by 0.012 mm (IQR 0.005–0.020 mm) compared to 0.015 mm (IQR 0.007–0.025 mm) in the placebo group (n = 47) (p = 0.17). Reduced CIMT progression in the entire cohort was independently associated with decreased liver fat (standardized ?-coefficient 0.32, p = 0.005), reduced CK-18 levels (standardized ?-coefficient 0.22, p = 0.04) and antihypertensive usage (standardized ?-coefficient ?0.31, p = 0.009) in multivariable regression analysis after adjusting for all potential confounders. Decreased weight (standardized ?-coefficient 0.30, p < 0.001) and increased DHA tissue enrichment during the 18-month study (standardized ?-coefficient ?0.19, p = 0.027) were both independently associated with decreased liver fat, but not with CK-18.Conclusion: Improvement in two markers of NAFLD severity is independently associated with reduced CIMT progression
Factors independently associated with cardiorespiratory fitness in patients with non-alcoholic fatty liver disease
No full textLow cardiorespiratory fitness (CRF) is associated with non-alcoholic fatty liver disease (NAFLD) and low CRF is an important risk factor for cardiovascular disease. The factors that influence CRF in NAFLD are poorly understood and it has been suggested that reduced hepatic mitochondrial function (HMF) may be linked to low CRF. Therefore, our aim was to determine the factors associated with CRF in NAFLD.METHODS: Ninety-seven patients with NAFLD were studied. CRF was assessed by treadmill testing and expressed as maximal O
2 consumption (VO
2 peak) per lean body mass. HMF was assessed by the
13 C-ketoisocaproate breath test. Multivariable linear regression modelling was undertaken to test the independence of associations with CRF.
RESULTS: Mean (SD) age was 51 (13) years and 61% were men. With CRF as the outcome, age (B coefficient -0.3, 95%CI -0.4, -0.2, P < .0001), total body fat mass (B coefficient -0.2, 95%CI -0.3, -0.05, P = .01), type 2 diabetes mellitus (T2DM) (B coefficient -3.6, 95%CI -1.1, -6.1, P = .005), smoking status (B coefficient -5.7, 95%CI -1.9, -9.5, P = .004), serum γ-glutamyl transferase (GGT) (B coefficient -0.04, 95%CI -0.05, -0.02, P < .0001), HMF (B coefficient -0.5, 95%CI -0.8, -0.1, P = .01) and diastolic function (B coefficient 0.1, 95%CI 0.05, 0.13, P < .0001) were independently associated with CRF. This model explained 60% of the total variance in CRF (R
2 = 0.6, P < .0001); and this model with GGT alone explained 24% of the variance in CRF.
CONCLUSIONS: In patients with NAFLD, HMF is independently associated with CRF and a model with GGT alone explained most of the variance in CRF.</p
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No full textLeukocyte extracellular vesicle concentration is inversely associated with liver fibrosis severity in NAFLD
No full textThe enhanced liver fibrosis (LFS) score and the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) are algorithmic-derived scores for diagnosing severe (F3/F4) liver fibrosis. In a pilot, substudy of the Wessex Evaluation of fatty Liver and Cardiovascular markers in NAFLD with OMacor thErapy (WELCOME) trial, we tested whether measurements of plasma platelet-, endothelial-, and leukocyte-derived extracellular vesicles (EVs) counts are (a) associated with, and predict, F3/F4 fibrosis and (b) able to improve risk prediction of F3/F4 fibrosis in NAFLD, building upon LFS or NFS algorithms. Twenty-six individuals with NAFLD had liver fibrosis severity determined by Kleiner scoring after liver biopsy. Plasma samples stained with CD41a, CD42b, CD31, CD105, CD14, CD16, and CD284 antibodies were analyzed using flow cytometry to measure platelet-, endothelial-, and leukocyte-derived EVs counts. The independence of associations between EVs and F3/F4 fibrosis were tested using logistic regression. Receiver operator characteristic (ROC) curves were used to evaluate F3/F4 fibrosis prediction models. LFS was more strongly associated with F3/F4 fibrosis than NFS (χ2= 15.403, P < 0.0001, and χ2= 6.300, P = 0.012, respectively). The association between LFS and F3/F4 fibrosis was further improved by addition of CD14+ EVs (χ2=20.847,P = 0.016 vs. χ2=12.803,P = 0.015, respectively) or CD16+ EVs (χ2=22.205,P = 0.009 vs. χ2=17.559,P = 0.001, respectively), and the area under the ROC for LFS (AUC = 0.915, se = 0.055, P = 0.001) was increased by the addition of CD14+ or CD16+ EVs (AUC = 0.948, se = 0.042, and P < 0.001 and AUC = 0.967, se = 0.055, P < 0.001, respectively) as predictor variables. In this small preliminary study, CD14+ and CD16+ EV counts show potential to predict liver fibrosis severity with either marker improving the ability of the LFS to identify F3/F4 fibrosis in this small preliminary cohort study
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