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Kavita S Lole

Publications and source records attributed to Kavita S Lole.

4 recordsLinked to original sources

Whole genome sequencing of unusual Hepatitis C virus subtypes and drug resistance analysis during direct-acting antiviral therapy in India.

INTRODUCTION AND OBJECTIVES: Pangenotypic direct-acting antivirals (DAA) are effective against highly prevalent Hepatitis C virus (HCV) subtypes, but have been clinically validated almost exclusively in high-income countries. Unusual HCV subtypes may carry natural polymorphisms, potentially impacting DAA susceptibility. We conducted full-genome characterization and resistance analysis of unusual HCV subtypes in patients receiving DAA treatment. PATIENTS AND METHODS: In this prospective hospital-based study, eligible patients were screened for anti-HCV antibodies and active infection was confirmed by diagnostic 5'NCR-based HCV RNA detection. Genotyping was performed by core region sequencing, and viral load quantified by real-time PCR. For whole genome sequencing, multiplex primers were designed using alignments of global reference sequences. Sequencing was carried out using the Oxford Nanopore Technology platform. Phylogenetic analysis used multiple sequence alignment and the HCV-GLUE resource for resistance-associated substitution (RAS) analysis. RESULTS: Predominant genotype was genotype 3 in 64.3% (n = 45); genotype 6 in 21.4% (n = 15); and genotype 1 in 14.2% (n = 10). Unusual HCV subtype 6xa was detected in two patients and showed no NS5A resistance mutations. One genotype 3b patient relapsed at 24 weeks post-DAA treatment completion and carried NS5A resistance-associated substitutions 30 K and 31 M both at baseline and at relapse, conferring high-level resistance to NS5A inhibitors. CONCLUSION: This is the first report from India of whole genome sequencing of HCV subtype 6xa. The identification of NS5A resistance mutations in the 3b relapse case underscores challenges for global HCV elimination strategies.

Humans↗

Quantitation of hepatitis B virus DNA by real-time PCR using internal amplification control and dual TaqMan MGB probes.

Hepatitis B virus (HBV) DNA quantitation is used extensively for monitoring of antiviral treatment of HBV infection. A real-time PCR assay was developed using a TaqMan minor groove binder probe and primers corresponding to HBV pre-core region for HBV DNA quantitation. A 228 bp fragment from this genomic region of HBV was cloned and serial dilutions of plasmid DNA were used as an external DNA standard. Comparison of the real-time PCR quantitation results from 35 clinical serum samples with those obtained by COBAS Amplicor HBV DNA monitor kit (Roche Diagnostics) revealed a significant correlation (r = 0.92) for all the samples. The assay showed wide dynamic linear range between 2.5 x 10(2) and 2.5 x 10(10) copies/ml serum. Sera from 25 healthy individuals tested negative indicating the high specificity of the assay. The median coefficients of variation for both intra- and inter-experimental variability were 4.9% and 10.6%, respectively, which indicated remarkable reproducibility. An internal amplification control (IC) was developed to detect the presence of PCR inhibitors in the samples to avoid false negative results. The IC had the same primer binding sites but different internal sequence and it competed with the virus-derived target. The optimum concentration of IC was found to be 100 copies/reaction. The assay was validated by testing serial dilutions of the WHO international HBV DNA standard. Since conserved regions were considered during primer and probe design, the assay should be applicable to all HBV genotypes. The real-time assay will be useful for monitoring HBV-infected patients in routine diagnostic laboratories and in clinical practice enabling analysis of a wide dynamic range of HBV DNA in a single, undiluted sample.

Analysis of Variance↗

Full genome sequence and analysis of Indian swine hepatitis E virus isolate of genotype 4.

The full-length genomic sequence of an Indian swine hepatitis E virus (HEV) isolate (IND-SW-00-01) recovered from feces of a pig experimentally infected with swine HEV pool from western India was determined. The genome consisted of 7,240 nucleotides, excluding the poly (A) tail of at least 22 residues and contained three open reading frames (ORFs), ORF-1 encoding 1,707 amino acids, ORF-2 encoding 674 amino acids and ORF-3 encoding 114 amino acids. Comparative full-length genome sequence and phylogenetic analyses suggested that the Indian swine HEV represents a distinct variant among the genotype 4 isolates with a divergence of 15-16.6%. Analyses based on ORF-1, 2 and 3 as well as partial ORF-2 (227 nucleotides) yielded similar results. As compared to type 4 HEV isolates, 26 unique amino acid substitutions were recorded, 16 in ORF-1, 8 in ORF-2 and 2 in ORF-3. IND-SW-00-01 showed insertion of 'C' at 5159 position while all other type 4 isolates have insertion of 'U' at the same position. Whether these changes contribute towards observed absence of type 4 HEV infections in Indian patients needs to be determined.

3' Untranslated Regions↗

Comparison of hepatitis C virus genotyping by 5' noncoding region- and core-based reverse transcriptase PCR assay with sequencing and use of the assay for determining subtype distribution in India.

Phylogenetic analysis of the sequences of the 5' noncoding regions (5'NCR) of 149 samples from hepatitis C virus (HCV) RNA-positive chronic carriers representing northern, southern, eastern, and western India showed that type 3 and type 1 are the predominant genotypes circulating in India, with an overall prevalence of 53.69 and 38.25%, respectively. Type 4 viruses (6.04%) were seen only in southern India. Sequence analysis of the core region of 51 of the above isolates enabled us to classify them further into subtypes as 1b (number of isolates [n] = 10), 1a (n = 6), 3a (n = 9), 3g (n = 14), 3f (n = 1), and 4d (n = 3). Three new subtypes were identified for the first time and designated as 3i (n = 5), 3j (n = 2), and 6l (n = 1). Sequencing the 5'NCR could differentiate HCV types, whereas classification at the level of subtype was possible with sequence analysis of the core region.

Base Sequence↗