Identification of hepatitis B virus genotypes detected in Lahaul & Spiti district of Himachal Pradesh, India

Background & objectives: Infection by hepatitis B virus (HBV) results in acute or chronic hepatitis. Based on sequence differences of eight per cent or more, HBV is divided into 10 genotypes (A to J) and 35 sub-genotypes. Molecular characterization of the circulating HBV genome has helped in understanding the epidemiology and its clinical importance. Spiti valley in Himachal Pradesh, which shares its border with Tibet, is one of the most HBV prevalent areas in India. Since information about the circulating genotype/s of HBV in this area is limited, this study was conducted to identify the circulating HBV genotypes. Methods: The surface and partial reverse transcriptase gene regions were sequenced using 14 hepatitis B surface antigen-positive samples. Results: Out of the 14 hepatitis B surface antigen-positive samples 11 sample gave quality sequence for further analysis. All the 11 samples belonged to subtype ayw2. The phylogenetic and recombination analysis revealed that five out of 11 samples were of genotype CD1 and the rest six were of genotype D3. Interpretation & conclusions: The CD1 recombinant sub-genotype might have immigrated during past or present transcontinental migration between the adjacent countries. Further studies using full-genome sequencing and high sample size will be helpful to understand this epidemiology and to combat the high prevalence of HBV in the area

Investigation of Gender-Specific Exhaled Breath Volatome in Humans by GCxGC-TOF-MS

Exploring gender-specific metabolic differences in biofluids provides a basic understanding of the physiological and metabolic phenotype of healthy subjects. Many reports have shown gender-specific metabolome profiles in the urine and serum of healthy subjects; however, limited studies focusing on exhaled human breath are available in the literature. In this study, we profiled the exhaled breath (∼450 mL) volatile organic compounds (VOCs) of 47 healthy volunteers (age: 19–47; 23 male (M) and 24 female (F)) using a multidimensional gas chromatography and mass spectrometry and employed chemometric analysis to identify gender-specific VOCs. Eleven exhaled breath VOCs were identified from both uni and multivariate analysis from a training set (M = 15, F = 15) that could differentiate the genders within a healthy population. A partial least-squares discriminate analysis (PLS-DA) model built using these putative markers showed high accuracy in predicting (area under the receiver operating characteristic curve >0.9) a hold out/test sample set (<i>n</i> = 17). The outcomes of this report open up new avenues to undertake larger studies to elucidate the association of exhaled breath metabolites with gender-specific disease phenotypes and pharmacokinetics in the future

Deregulated Tyrosine–Phenylalanine Metabolism in Pulmonary Tuberculosis Patients

Metabolic profiling of biofluids from tuberculosis (TB) patients would help us in understanding the disease pathophysiology and may also be useful for the development of novel diagnostics and host-directed therapy. In this pilot study we have compared the urine metabolic profiles of two groups of subjects having similar TB symptoms and categorized as active TB (ATB, <i>n</i> = 21) and non-TB (NTB, <i>n</i> = 21) based on GeneXpert test results. Silylation, gas chromatography mass spectrometry, and standard chemometric methods were employed to identify the important molecules and deregulated metabolic pathways. Eleven active TB patients were followed up on longitudinally for comparative urine metabolic profiling with healthy controls (<i>n</i> = 11). A set of 42 features qualified to have a variable importance parameter score of > 1.5 of a partial least-squares discriminate analysis model and fold change of > 1.5 at <i>p</i> value < 0.05 between ATB and NTB. Using these variables, a receiver operating characteristics curve was plotted and the area under the curve was calculated to be 0.85 (95% CI: 0.72–0.96). Several of these variables that represent norepinephrine, gentisic acid, 4-hydroxybenzoic acid, hydroquinone, and 4-hydroxyhippuric acid are part of the tyrosine–phenylalanine metabolic pathway. In the longitudinal study we observed a treatment-dependent trend in the urine metabolome of follow-up samples, and subjects declared as clinically cured showed similar metabolic profile as those of asymptomatic healthy subjects. The deregulated tyrosine–phenylalanine axis reveals a potential target for diagnostics and intervention in TB