Completion of Chronic Hepatitis C Virus Treatment in Interferon-Induced Major Depressive Disorder with Psychotic Features

Interferon (IFN)-associated psychiatric disorders can be managed without interruption to hepatitis C virus (HCV) treatment. The limited number of cases in the literature reporting psychotic depression as an adverse drug reaction to IFN resulted in discontinuation of HCV therapy. The author reports a case of a 49 year-old man with chronic HCV genotype 1a treated with pegylated interferon-alpha and ribavirin developing major depressive disorder with psychotic features. The patient was successfully treated with both an antidepressant and antipsychotic for this suspected IFN-associated adverse drug effect while continuing 12 months of uninterrupted HCV treatment and subsequently achieving sustained hepatitis C virological response. Although IFN can cause distressing psychiatric disturbances, appropriate treatment with psychotropic agents and careful monitoring allows patients to be maintained on a full course of HCV treatment

RNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor Cediranib.

Pre-clinical models of tumour biology often rely on propagating human tumour cells in a mouse. In order to gain insight into the alignment of these models to human disease segments or investigate the effects of different therapeutics, approaches such as PCR or array based expression profiling are often employed despite suffering from biased transcript coverage, and a requirement for specialist experimental protocols to separate tumour and host signals. Here, we describe a computational strategy to profile transcript expression in both the tumour and host compartments of pre-clinical xenograft models from the same RNA sample using RNA-Seq. Key to this strategy is a species-specific mapping approach that removes the need for manipulation of the RNA population, customised sequencing protocols, or prior knowledge of the species component ratio. The method demonstrates comparable performance to species-specific RT-qPCR and a standard microarray platform, and allowed us to quantify gene expression changes in both the tumour and host tissue following treatment with cediranib, a potent vascular endothelial growth factor receptor tyrosine kinase inhibitor, including the reduction of multiple murine transcripts associated with endothelium or vessels, and an increase in genes associated with the inflammatory response in response to cediranib. In the human compartment, we observed a robust induction of hypoxia genes and a reduction in cell cycle associated transcripts. In conclusion, the study establishes that RNA-Seq can be applied to pre-clinical models to gain deeper understanding of model characteristics and compound mechanism of action, and to identify both tumour and host biomarkers

Patient-derived xenograft (PDX) models in basic and translational breast cancer research

Patient-derived xenograft (PDX) models of a growing spectrum of cancers are rapidly supplanting long-established traditional cell lines as preferred models for conducting basic and translational preclinical research. In breast cancer, to complement the now curated collection of approximately 45 long-established human breast cancer cell lines, a newly formed consortium of academic laboratories, currently from Europe, Australia, and North America, herein summarizes data on over 500 stably transplantable PDX models representing all three clinical subtypes of breast cancer (ER+, HER2+, and "Triple-negative" (TNBC)). Many of these models are well-characterized with respect to genomic, transcriptomic, and proteomic features, metastatic behavior, and treatment response to a variety of standard-of-care and experimental therapeutics. These stably transplantable PDX lines are generally available for dissemination to laboratories conducting translational research, and contact information for each collection is provided. This review summarizes current experiences related to PDX generation across participating groups, efforts to develop data standards for annotation and dissemination of patient clinical information that does not compromise patient privacy, efforts to develop complementary data standards for annotation of PDX characteristics and biology, and progress toward "credentialing" of PDX models as surrogates to represent individual patients for use in preclinical and co-clinical translational research. In addition, this review highlights important unresolved questions, as well as current limitations, that have hampered more efficient generation of PDX lines and more rapid adoption of PDX use in translational breast cancer research

GWAS meta-analysis of intrahepatic cholestasis of pregnancy implicates multiple hepatic genes and regulatory elements

Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific liver disorder affecting 0.5–2% of pregnancies. The majority of cases present in the third trimester with pruritus, elevated serum bile acids and abnormal serum liver tests. ICP is associated with an increased risk of adverse outcomes, including spontaneous preterm birth and stillbirth. Whilst rare mutations affecting hepatobiliary transporters contribute to the aetiology of ICP, the role of common genetic variation in ICP has not been systematically characterised to date. Here, we perform genome-wide association studies (GWAS) and meta-analyses for ICP across three studies including 1138 cases and 153,642 controls. Eleven loci achieve genome-wide significance and have been further investigated and fine-mapped using functional genomics approaches. Our results pinpoint common sequence variation in liver-enriched genes and liver-specific cis-regulatory elements as contributing mechanisms to ICP susceptibility

Serotonin syndrome: Is it a reason to avoid the use of tramadol with antidepressants?

Background: There is a warning associated with all serotonergic antidepressants and its concomitant use with tramadol due to the concern for a drug-drug interaction resulting in serotonin syndrome (SS). The prescribing of antidepressants with tramadol may be unnecessarily restricted due to fear of causing this syndrome. Objectives: There are 3 objectives of this review. To (1) review case reports of SS associated with the combination of tramadol and antidepressant drugs in recommended doses, (2) describe the mechanisms of the drug interaction, and (3) identify the potential risk factors for SS. Methods: Case reports of SS associated with tramadol and antidepressants were identified via Cochrane Library, PubMed, and Ovid (through October 2012) using search terms SS, tramadol, antidepressants, fluoxetine, sertraline, paroxetine, fluvoxamine, citalopram, escitalopram, venlafaxine, desvenlafaxine, duloxetine, mirtazapine, milnacipran, trazodone, vilazodone, and bupropion. Cases involving monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants were excluded. Results: Nine articles were identified describing 10 cases of suspected SS associated with therapeutic doses of tramadol combined with an antidepressant. Mechanisms of the drug-drug interactions involve pharmacodynamic, pharmacokinetic, and possible pharmacogenetic factors. Conclusions: Review of the available case reports of tramadol combined with antidepressant drugs in therapeutic doses indicates caution in regard to the potential for SS but does not constitute a contraindication to their use. Tramadol is only contraindicated in combination with MAOIs but not other antidepressants in common use today. These case reports do suggest several factors associated with a greater risk of SS, including increased age, higher dosages, and use of concomitant potent cytochrome P450 2D6 inhibitors. Tramadol can be safely combined with antidepressants; however, monitoring and counseling patients are prudent when starting a new serotonergic agent or when doses are increased. © 2013 The Author(s)

Predicting prolonged dysphagia in acute stroke: The Royal Adelaide Prognostic Index for Dysphagic Stroke (RAPIDS)

The original publication can be found at www.springerlink.comDysphagia is common after stroke and is associated with increased morbidity and mortality. Predicting those who are likely to have significant prolonged dysphagia is not possible at present. This study was undertaken to validate the Royal Adelaide Prognostic Index for Dysphagic Stroke (RAPIDS) in the prediction of prolonged dysphagia following acute stroke using clinical and radiographic features. A prospective study of unselected, consecutive admissions to the Royal Adelaide Hospital acute stroke unit was undertaken. Clinical and radiographic features applicable to the RAPIDS test were calculated and the sensitivity, specificity, and likelihood ratio for predicting prolonged dysphagia were calculated with 95% confidence intervals (CI). Of 104 subjects admitted with acute stroke, 55 (53%) had dysphagia and 20 (19%) had dysphagia requiring nonoral feeding/hydration for 14 days or more or died while dysphagic prior to 14 days. The RAPIDS test had sensitivity of 90% (95% CI = 70–97%) and specificity of 92% (95% CI - 84–96%) for predicting this latter group of patients. We conclude that the RAPIDS test can be used early to identify patients likely to have prolonged dysphagia. This test could form a basis for selection of patients for trials of nonoral feeding methods.Simon Broadley, Alison Cheek, Susie Salonikis, Emma Whitham, Victoria Chong, David Cardone, Basile Alexander, James Taylor and Philip Thompso