AbstractBackground & AimsChronic kidney disease (CKD) after liver transplant (LT) is associated with increased long‐term mortality. The impact of gender on CKD before and after LT is unknown. To further define risk factors and analyse gender differences in the incidence and progression of CKD after liver transplant.MethodsFour hundred and fifty‐five consecutive adult primary solitary LT recipients were included. Iothalamate clearance tests performed over time were analysed.ResultsMean age was 51.4 ± 10.4 years with 63% males. A percentage of 29.1% of females and 21.1% of males had a GFR<60 ml/min/1.73 m2 and 10.2% of females and 5.9% of males had GFR<30 ml/min/1.73 m2 prior to transplant. At 1 year, 52.6% of recipients tested (69.6% females, 43.0% males) had GFR<60 ml/min/1.73 m2 and 7.3% (11.6% females, 4.9% males) had GFR<30 ml/min/1.73 m2. Pre‐LT GFR<60 ml/min/1.73 m2 [OR 3.28, (1.76–6.10), P ≤ 0.001], female gender (OR 2.96, (1.72–5.10), P < 0.001) and age [OR 1.09, (1.05–1.12), P < 0.001] were independently predictive of stage ≥3 CKD at 1 year post‐LT. Female gender [OR 2.52, (1.25–4.71), P = 0.004], age [OR 1.05, (1.02–1.08), P = 0.003] and NASH [OR 2.95, (1.06–8.21), P = 0.039] were independently predictive of ≥stage 3 CKD at 5 years post‐LT. Pre‐LT diabetes was associated with stage 4 CKD at 5 years [OR 2.91, (1.33–6.36), P = 0.008] post‐LT.ConclusionsIn addition to age and pre‐LT CKD, female gender and NASH are independent predictors of ≥stage 3 CKD post‐LT. Gender‐based approaches to optimize modifiable risk factors are needed to improved post‐transplant renal function.
Skeletal Muscle Myosin Heavy Chain Synthesis in Type 1 Diabetes
Although insulin's anticatabolic effect on protein metabolism in type 1 diabetes has been clearly shown to be related to the inhibition of protein breakdown, insulin's effect on muscle protein synthesis remains controversial. Cross-limb studies and measurements of synthesis rates of mixed muscle protein have yielded conflicting results. These measurements represent the mean synthesis of several muscle proteins and may miss changes in the synthesis rates of individual muscle proteins. We measured the fractional synthesis rates of myosin heavy chain (MHC), the principal muscle contractile protein, and mixed muscle protein (MMP) in six type 1 diabetic patients during insulin deprivation and insulin treatment. Comparisons were made with six healthy control subjects. Muscle biopsies were taken at 2 h and 8 h during a primed continuous infusion of l-[1- 13C]leucine. MHC was purified by a preparative continuous elution gel electrophoresis, and fractional synthesis rates were calculated. We found that in type 1 diabetic subjects, the fractional synthesis rates of MHC and MMP during insulin treatment are similar to those of control subjects. Acute insulin deprivation did not affect either the synthesis rate or the ratio of MHC to MMP in type 1 diabetic subjects. In the postabsorptive state, acute insulin deprivation has no effect on MHC or MMP synthesis in type 1 diabetic patients.
Serum albumin level is a notable profiling factor for non‐B, non‐C hepatitis virus‐related hepatocellular carcinoma: A data‐mining analysis
AimVarious factors are underlying for the onset of non‐B, non‐C hepatitis virus‐related hepatocellular carcinoma (NBNC‐HCC). We aimed to investigate the independent risk factors and profiles associated with NBNC‐HCC using a data‐mining technique.MethodsWe conducted a case‐control study and enrolled 223 NBNC‐HCC patients and 669 controls from a health checkup database (n = 176 886). Multivariate analysis, random forest analysis and a decision‐tree algorithm were employed to examine the independent risk factors, factors distinguishing between the case and control groups, and to identify profiles for the incidence of NBNC‐HCC, respectively.ResultsIn multivariate analysis, besides γ‐glutamyltransferase (GGT) levels and the Brinkman index, albumin level was an independent negative risk factor for the incidence of NBNC‐HCC (odds ratio = 0.67; 95% confidence interval = 0.60–0.70; P < 0.0001). In random forest analysis, serum albumin level was the highest‐ranked variable for distinguishing between the case and control groups (98 variable importance). A decision‐tree algorithm was created for albumin and GGT levels, the aspartate aminotransferase‐to‐platelet ratio index (APRI) and the Brinkman index. The serum albumin level was selected as the initial split variable, and 82.5% of the subjects with albumin levels of less than 4.01 g/dL were found to have NBNC‐HCC.ConclusionData‐mining analysis revealed that serum albumin level is an independent risk factor and the most distinguishable factor associated with the incidence of NBNC‐HCC. Furthermore, we created an NBNC‐HCC profile consisting of albumin and GGT levels, the APRI and the Brinkman index. This profile could be used in the screening strategy for NBNC‐HCC.
Hepatic artery pseudoaneursym formation following intraductal biliary radiofrequency ablation
Interactions of allelic variance of PNPLA3 with nongenetic factors in predicting nonalcoholic steatohepatitis and nonhepatic complications of severe obesity
Objective: Allelic variation (rs738409C→G) in adiponutrin (patatin‐like phospholipase domain‐containing protein 3, PNPLA3) has been associated with hepatic steatosis and liver fibrosis. The physiologic impact of the PNPLA3 G allele may be exacerbated in patients with severe obesity. In this study, we investigated the interactions of PNPLA3 rs738409 with a broad panel of metabolic and histologic characteristics of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis (NASH) in patients with medically complicated obesity.Design and Methods: Consecutive patients undergoing bariatric surgery were selected for a prospective study. They underwent extensive laboratory and histologic (liver biopsy) assessment, as well as evaluation of rs738409 polymorphism by TaqMan assay.Results: Only 12 (8.3%) of the 144 patients had normal liver histology, with 72 (50%) NASH, of whom 15 (10.4% of total patients) had fibrosis stage 2‐3. PNPLA3 GG genotype correlated positively (P < 0.05) with serum levels of alanine aminotransferase (ALT), asparate aminotransferase (AST), glucose, fibrinogen, and insulin‐dependent diabetes mellitus, homeostasis model assessment—insulin resistance, and presence of NASH. Multivariate analysis indicated that PNPLA3 rs738409 G versus C allele remained an (independent) risk factor for NASH, in addition to CK‐18 >145 IU/l, glucose >100 mg/dl, and C‐reactive protein (CRP) >0.8 mg/dl. The probability of NASH increased from 9% (no risk factor) to 82% if all four risk factors were present.Conclusions: In this cohort of patients with medically complicated obesity, PNPLA3 rs738409 G allelic expression is associated with hepatic (NASH) and nonhepatic complications of obesity, such as insulin resistance. These novel findings may be related to a greater impact of PNPLA3 variant in magnitude and scope in patients with severe obesity than in less obese populations. Further studies are needed to characterize the nature of these associations.
Single- and Multiple-Ascending-Dose Studies of the NS3 Protease Inhibitor Asunaprevir in Subjects with or without Chronic Hepatitis C
ABSTRACT Hepatitis C virus (HCV) protease inhibitors combined with pegylated alfa interferon-ribavirin have demonstrated improved efficacy compared with pegylated alfa interferon-ribavirin alone for the treatment of chronic hepatitis C. Asunaprevir (BMS-650032), a novel HCV NS3 protease inhibitor in clinical development, was evaluated for safety, antiviral activity, and resistance in four double-blind, placebo-controlled, sequential-panel, single- and multiple-ascending-dose (SAD and MAD) studies in healthy subjects or subjects with chronic HCV genotype 1 infection. In SAD studies, subjects (healthy or with chronic HCV infection) were randomized to receive asunaprevir in dose groups of 10 to 1,200 mg or a placebo. In MAD studies, healthy subjects were randomized to receive asunaprevir in dose groups of 10 to 600 mg twice daily or a placebo for 14 days; subjects with HCV infection received asunaprevir in dose groups of 200 to 600 mg twice daily, or a placebo, for 3 days. Across all four studies, headache and diarrhea were the most frequent adverse events in asunaprevir recipients. Asunaprevir at doses of 200 to 600 mg resulted in rapid HCV RNA decreases from the baseline; maximal mean changes in HCV RNA over time were 2.7 and 3.5 log 10 IU/ml in the SAD and MAD studies, respectively. No enrichment of signature asunaprevir-resistant viral variants was detected. In conclusion, the novel NS3 protease inhibitor asunaprevir, when administered at single or multiple doses of 200 to 600 mg twice daily, is generally well tolerated, achieving rapid and substantial decreases in HCV RNA levels in subjects chronically infected with genotype 1 HCV.
Growth hormone, dehydroepiandrosterone and adiponectin levels in non‐alcoholic steatohepatitis: an endocrine signature for advanced fibrosis in obese patients
AbstractBackground and AimsLiver‐related clinical consequences of non‐alcoholic fatty liver disease (NAFLD) are seen only in the minority of patients with advanced fibrosis. The aim of our study was to generate insight into a potential endocrine basis of steatohepatitis with advanced fibrosis in NAFLD.MethodsBiopsy and blood samples were prospectively collected from patients with medically complicated obesity. Patients were categorized, according to liver histology, into: (i) normal, (ii) simple steatosis (SS), (iii) non‐alcoholic steatohepatitis (NASH) with fibrosis stage (FS) 0–1 and (iv) NASH with FS ≥ 2. A broad panel of potential biomarkers included DHEA‐S, growth hormone (GH), homeostasis model assessment‐insulin resistance (HOMA‐IR), leptin, resistin, adiponectin and cytokeratin 18 (CK‐18) fragments.ResultsWe studied 160 patients (mean BMI 46.8 ± 8.2 kg/m2). Liver biopsies demonstrated normal histology in 10%, SS in 45%, NASH with FS 0–1 in 37.5% and NASH with FS ≥ 2 in 7.5%. C‐reactive protein, IL‐6, GH, CK‐18, adiponectin, HOMA‐IR and quantitative insulin sensitivity check index (QUICKI) were significantly associated with NASH in univariate analysis, but overall predictivity of these parameters was low (AUC ROC = 0.62–0.68). In contrast, all patients with NASH with FS ≥ 2 had insulin resistance, as measured by QUICKI, and GH levels <0.45 ng/ml and all but one patient with NASH FS 2–3 had low DHEA levels (<123 μg/dl).ConclusionsLow serum levels of GH and DHEA are very common in patients with NASH with more advanced fibrosis. Other biomarkers, including CK‐18 fragment levels, have predictivity characteristics that would be of low clinical utility for distinguishing patients with normal histology or SS from those with NASH. These findings demonstrate an endocrine profile associated with advanced fibrosis.