The metabolic fingerprint of chronic hepatitis C progression: Metabolome shifts and cutting-edge diagnostic options.

Hepatitis C virus infection causes chronic diseases such as cirrhosis and hepatocellular carcinoma. Metabolomics research has been shown to be linked to pathophysiologic pathways in liver illnesses. The aim of this study was to investigate the serum metabolic profile of patients with chronic hepatitis C (CHC) infection and to identify underlying mechanisms as well as potential biomarkers associated with the disease. Nuclear magnetic resonance (NMR) was used to evaluate the sera of 83 patients with CHC virus and 52 healthy control volunteers (NMR). Then, multivariate statistical analysis was used to find distinguishing metabolites between the two groups. Sixteen out of 40 metabolites including include 3-HB, betaine, carnitine, creatinine, fucose, glutamine, glycerol, isopropanol, lysine, mannose, methanol, methionine, ornithine, proline, serine, and valine-were shown to be significantly different between the CHC and normal control (NC) groups (variable importance in projection >1 and p < 0.05). All the metabolic perturbations in this disease are associated with pathways of Glycine, serine, and threonine metabolism, glycerolipid metabolism, arginine and proline metabolism, aminoacyl-tRNA biosynthesis, cysteine and methionine metabolism, alanine, aspartate, and glutamate metabolism. Multivariate statistical analysis constructed using these expressed metabolites showed CHC patients can be discriminated from NCs with high sensitivity (90%) and specificity (99%). The metabolomics approach may expand the diagnostic armamentarium for patients with CHC while contributing to a comprehensive understanding of disease mechanisms.

Pesticides DEET, fipronil and maneb induce stress granule assembly and translation arrest in neuronal cells.

Pesticides entering our body, either directly or indirectly, are known to increase the risk of developing neurodegenerative disorders. The pesticide-induced animal models of Parkinson's disease and Alzheimer's disease recapitulates many of the pathologies seen in human patients and have become popular models for studying disease biology. However, the specific effect of pesticides at the cellular and molecular levels is yet to be fully established. Here we investigated the cellular effect of three commonly used pesticides: DEET, fipronil and maneb. Specifically, we looked at the effect of these pesticides in the formation of stress granules and the concomitant translational arrest in a neuronal cell line. Stress granules represent an ensemble of non-translating mRNAs and appear in cells under physiological stress. Growing evidence indicates that chronic stress may covert the transient stress granules into amyloids and may thus induce neurodegeneration. We demonstrate here that all three pesticides tested induce stress granules and translation arrest through the inactivation of the eukaryotic initiation factor, eIF2α. We also show that oxidative stress could be one of the major intermediary factors in the pesticide-induced stress granule formation and that it is a reversible process. Our results suggest that prolonged pesticide exposure may result in long-lived stress granules, thus compromising the neuronal stress response pathway and leading to neurodegeneration.

Discovery of Arginine Ethyl Ester as Polyglutamine Aggregation Inhibitor: Conformational Transitioning of Huntingtin N-Terminus Augments Aggregation Suppression.

Huntington's disease (HD) is a genetic disorder caused by a CAG expansion mutation in the huntingtin gene leading to polyglutamine (polyQ) expansion in the N-terminal part of huntingtin (Httex1). Expanded polyQ, through a complex aggregation pathway, forms aggregates in neurons and presents a potential therapeutic target. Here we show Httex1 aggregation suppression by arginine and arginine ethyl ester (AEE) in vitro, as well as in yeast and mammalian cell models of HD, bearing expanded polyQ. These molecules also rescue locomotion dysfunction in HD Drosophila model. Both molecules alter the hydrogen bonding network of polyQ to enhance its aqueous solubility and delay aggregation. AEE shows direct binding with the NT17 part of Httex1 to induce structural changes to impart an enhanced inhibitory effect. This study provides a platform for the development of better arginine based therapeutic molecules against polyQ-rich Httex1 aggregation.

Association between inflammatory gene polymorphisms and coronary artery disease in an Indian population.

BACKGROUND: Inflammation is one of the major components of atherosclerosis which is the underlying disorder that leads to various diseases including coronary artery disease (CAD). Genes that are involved in the inflammatory processes are therefore good candidates for the risk of CAD. Variations in the genes involved in various molecular pathways of inflammation have been implicated to exaggerated atherosclerosis and the risk of cardiovascular diseases. In this study, we performed a genetic association study on the single nucleotide polymorphisms (SNPs) present in the genes CD14 (-159 C/T), TNFalpha (-308 G/A), IL-1alpha (-889 C/T), IL-6 (-174 G/C), PSMA6 (-8 C/G), and PDE4D (SNP83 T/C, respectively) in order to discern their possible role in the susceptibility to CAD in a North Indian population. METHODS: Angiographically proven CAD patients (n = 210) and age, sex and ethnically matched normal healthy controls (n = 232) were recruited for this case-control study. Genotypes were determined by PCR-RFLP method. Chi-square and logistic regression analyses were performed to compare the genotype and allele frequencies between the patient and the control groups. RESULTS: None of the SNPs showed significant association with CAD in the study population before and after adjustment for the confounding risk factors like age, sex, hypertension, smoking habit, and diabetes. CONCLUSION: This study was unable to demonstrate any association between the six gene variants tested and CAD in the North Indian population.