11 research outputs found

    Hepatotoxicity associated with statins: reports of idiosyncratic liver injury post-marketing.

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    To access publisher full text version of this article. Please click on the hyperlink in Additional Links field.AIMS: Limited data exist on drug-induced liver injury (DILI) associated with statins. METHODS: Reports on adverse reactions suspected to be due to statins received by the Swedish Adverse Drug Reactions Advisory Committe 1988-2010 were analyzed. Only cases with >5×upper limit of normal (ULN) in aminotransferases and/or alkaline phosphatase >2×ULN were included. RESULTS: The most common types of ADRs suspected were DILI in 124/217 (57%) cases. A total of 73/124 (59%) cases had at least possible relationship, median age 64 years (57-73), 55% males, whereas 25/124 cases (20%) were excluded due to mild elevations of liver tests and 26 due to unlikely relationship and/or lack of data. A statin-related DILI episode was reported in 1.2/100,000 users. Atorvastatin was implicated in 30/73 (41%) cases, simvastatin in 28 (38%), fluvastatin (15%), and others. Two patients died of acute liver failure, one underwent liver transplantation and 25 (34%) had jaundice. Three patients were rechallenged with the same statin producing similar patterns of liver injury. The median duration of therapy was 90 days (30-120), 120 (39-248) for atorvastatin, and 75 (30-150) for simvastatin (NS). Cholestatic/mixed injury was more common with atorvastatin, 17/30 (56%) than with simvastatin, 7/28 (24%) (p=0.018). CONCLUSIONS: Idiosyncratic liver injury associated with statins is rare but can be severe. After recovery, a similar pattern of liver injury can be reproduced on re-exposure. Most patients experience liver injury 3-4 months after start of therapy. Atorvastatin is mostly associated with cholestatic liver injury whereas hepatocellular injury is more common with simvastatin

    Study of Gender Differences in Proton Pump Inhibitor Dose Requirements for GERD: A Double-Blind Randomized Trial.

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    To access publisher's full text version of this article click on the hyperlink belowTo determine the proportion of patients with gastroesophageal reflux disease who are on proton pump inhibitors (PPIs) who could reduce their prior dosage by half, and identify predictors of successful step-down.Appropriate hypergastrinemia results from gastric acid inhibition. A gender difference in fasting gastrin with higher levels among women than among men on long-term PPI therapy has been demonstrated.Patients with endoscopically verified erosive esophagitis on long-term PPI therapy were randomized double blindly to step down their dose by half or continue with the same dose for 8 weeks. Fasting gastrin levels were measured before and after treatment. The primary endpoint was successful step-down throughout the study period.Overall, 100 patients were randomized, 49 (24 females) to continue with the same dose as before and 51 (25 females) to step down. Female patients had higher gastrin levels compared with male patients: 78 pg/mL (IQR, 50 to 99) versus 50 pg/mL (IQR, 36 to 74) (P=0.007). Among those randomized to the step-down intervention only 3/25 (12%) women failed to complete the 2 months of lower-dose therapy versus 9/25 (36%) men (P=0.09). Female gender (P=0.048) was the strongest predictor for successful step-down (odds ratio=1.27; 95% CI, 1.01-1.60). The chance of failing to maintain symptom control was twice as high in the reduction group (24%) as compared with the control group (13%) (P=0.2).Female patients on long-term PPI therapy were 3 times more likely to tolerate half of their prior dose. Female gender had higher probability for successful step-down. These results indicate that women with gastroesophageal reflux disease might manage with lower doses of PPIs as compared with men.European Clinical Trial Database (https://eudract.ema.europa.eu/), number 2013-002067-26.National Institutes of Health Research Fund of the National University Hospital of Iceland Icelandic Research Fun

    Genome-Wide Associations between Genetic and Epigenetic Variation Influence mRNA Expression and Insulin Secretion in Human Pancreatic Islets.

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    Genetic and epigenetic mechanisms may interact and together affect biological processes and disease development. However, most previous studies have investigated genetic and epigenetic mechanisms independently, and studies examining their interactions throughout the human genome are lacking. To identify genetic loci that interact with the epigenome, we performed the first genome-wide DNA methylation quantitative trait locus (mQTL) analysis in human pancreatic islets. We related 574,553 single nucleotide polymorphisms (SNPs) with genome-wide DNA methylation data of 468,787 CpG sites targeting 99% of RefSeq genes in islets from 89 donors. We identified 67,438 SNP-CpG pairs in cis, corresponding to 36,783 SNPs (6.4% of tested SNPs) and 11,735 CpG sites (2.5% of tested CpGs), and 2,562 significant SNP-CpG pairs in trans, corresponding to 1,465 SNPs (0.3% of tested SNPs) and 383 CpG sites (0.08% of tested CpGs), showing significant associations after correction for multiple testing. These include reported diabetes loci, e.g. ADCY5, KCNJ11, HLA-DQA1, INS, PDX1 and GRB10. CpGs of significant cis-mQTLs were overrepresented in the gene body and outside of CpG islands. Follow-up analyses further identified mQTLs associated with gene expression and insulin secretion in human islets. Causal inference test (CIT) identified SNP-CpG pairs where DNA methylation in human islets is the potential mediator of the genetic association with gene expression or insulin secretion. Functional analyses further demonstrated that identified candidate genes (GPX7, GSTT1 and SNX19) directly affect key biological processes such as proliferation and apoptosis in pancreatic β-cells. Finally, we found direct correlations between DNA methylation of 22,773 (4.9%) CpGs with mRNA expression of 4,876 genes, where 90% of the correlations were negative when CpGs were located in the region surrounding transcription start site. Our study demonstrates for the first time how genome-wide genetic and epigenetic variation interacts to influence gene expression, islet function and potential diabetes risk in humans
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