Inhibition of HIV-1 gene expression by Sam68ΔC: multiple targets but a common mechanism?

Two recent publications have explored the mechanisms by which a mutant of the host protein Sam68 blocks HIV-1 structural protein synthesis and expands its activity to encompass Nef. Although the two studies propose different mechanisms for the responses observed, it is possible that a common activity is responsible. Understanding how this Sam68 mutant discriminates among the multiple viral mRNAs promises to reveal unique properties of HIV-1 RNA metabolism

Plasma Biomarkers of Brain Atrophy in Alzheimer's Disease

Peripheral biomarkers of Alzheimer's disease (AD) reflecting early neuropathological change are critical to the development of treatments for this condition. The most widely used indicator of AD pathology in life at present is neuroimaging evidence of brain atrophy. We therefore performed a proteomic analysis of plasma to derive biomarkers associated with brain atrophy in AD. Using gel based proteomics we previously identified seven plasma proteins that were significantly associated with hippocampal volume in a combined cohort of subjects with AD (N = 27) and MCI (N = 17). In the current report, we validated this finding in a large independent cohort of AD (N = 79), MCI (N = 88) and control (N = 95) subjects using alternative complementary methods—quantitative immunoassays for protein concentrations and estimation of pathology by whole brain volume. We confirmed that plasma concentrations of five proteins, together with age and sex, explained more than 35% of variance in whole brain volume in AD patients. These proteins are complement components C3 and C3a, complement factor-I, γ-fibrinogen and alpha-1-microglobulin. Our findings suggest that these plasma proteins are strong predictors of in vivo AD pathology. Moreover, these proteins are involved in complement activation and coagulation, providing further evidence for an intrinsic role of these pathways in AD pathogenesis

Model-Based Deconvolution of Cell Cycle Time-Series Data Reveals Gene Expression Details at High Resolution

In both prokaryotic and eukaryotic cells, gene expression is regulated across the cell cycle to ensure “just-in-time” assembly of select cellular structures and molecular machines. However, present in all time-series gene expression measurements is variability that arises from both systematic error in the cell synchrony process and variance in the timing of cell division at the level of the single cell. Thus, gene or protein expression data collected from a population of synchronized cells is an inaccurate measure of what occurs in the average single-cell across a cell cycle. Here, we present a general computational method to extract “single-cell”-like information from population-level time-series expression data. This method removes the effects of 1) variance in growth rate and 2) variance in the physiological and developmental state of the cell. Moreover, this method represents an advance in the deconvolution of molecular expression data in its flexibility, minimal assumptions, and the use of a cross-validation analysis to determine the appropriate level of regularization. Applying our deconvolution algorithm to cell cycle gene expression data from the dimorphic bacterium Caulobacter crescentus, we recovered critical features of cell cycle regulation in essential genes, including ctrA and ftsZ, that were obscured in population-based measurements. In doing so, we highlight the problem with using population data alone to decipher cellular regulatory mechanisms and demonstrate how our deconvolution algorithm can be applied to produce a more realistic picture of temporal regulation in a cell

The next generation of synthetic cannabinoids : detection, activity, and potential toxicity of pent-4en and but-3en analogues including MDMB-4en-PINACA

A new class of synthetic cannabinoids has emerged as new psychoactive substances (NPS). Similar in structure to JWH-022, these substances contain alkene modifications to the tail region of the synthetic cannabinoid core structure, and nomenclature denotes these new analogues as pent-4en or but-3en species. Internationally, two analogues from this new series recently emerged: MDMB-4en-PINACA and MMB-4en-PICA. Previously, data regarding activity and potential toxicity were not available.In vitroassessment of cannabinoid receptor 1 (CB1) activation via the beta-arrestin 2 recruitment was studied for three (3) pent-4en analogues, one (1) but-3en analogue, and one (1) principal metabolite. MDMB-4en-PINACA (2.47 nM, 239%), MDMB-4en-PICA (11.5 nM, 302%), and MDMB-3en-BINACA (14.3 nM, 286%) were highly potent and efficacious (comparison: JWH-018, 25.3 nM, 100%), while the potencies of MMB-4en-PICA and MDMB-4en-PINACA 3,3-dimethylbutanoic acid were markedly lower. Modifications to core and tail structural features (i.e., indole vs. indazole) led to relatively small differences in potency, while changes among the head region led to larger differences. Sample-mining and data-mining conducted on toxicology samples led to the identification of MDMB-4en-PINACA in 25 forensic toxicology cases, including postmortem and impaired driving investigations, with case details and limited histories described herein. Moderate geographical distribution of MDMB-4en-PINACA was noted in the United States with emergence in the Northeast, Midwest, South, and West regions. Results from toxicology testing paired with case history show the potential for MDMB-4en-PINACA to cause or contribute to impairment or death. Forensic scientists, public health and public safety officials, law enforcement, clinicians, medical examiners, and coroners should consider involvement of emergent synthetic cannabinoids in their work and that new analogues containing an alkene tail can retain similar or increased potency and toxicity