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Rajwani, R.

Publications and source records attributed to Rajwani, R..

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Targeted Sequencing Workflows for Comprehensive Drug Resistance Profiling of Mycobacterium tuberculosis cultures using Illumina MiSeq and Nanopore MinION: Comparison of analytical and diagnostic performance, turnaround time and cost

The emergence of Mycobacterium tuberculosis strains with complex drug resistance profiles necessitates a rapid and extensive drug susceptibility test for comprehensive guidance of patient treatment. Here, we developed two targeted-sequencing workflows based on Illumina MiSeq and Nanopore MinION for the prediction of drug resistance in M. tuberculosis towards 12 anti-tuberculous agents.\n\nA total of 163 M. tuberculosis cultured isolates collected from Hong Kong and Ethiopia were subjected to a multiplex PCR for simultaneous amplification of 19 drug-resistance associated genetic regions. The amplicons were then barcoded and sequenced in parallel on MiSeq and MinION in respective batch sizes of 24 and 12 samples. Both platforms successfully sequenced all samples with average depths of coverage of 1,127x and 1,649x respectively. Utilizing a self-developed Web-based bioinformatics pipeline, Bacteriochek-TB, for variant analysis, we found that the MiSeq and MinION result could achieve 100% agreement if variants with an allele frequency of <40% reported by MinION were excluded. For drug resistance prediction, both workflows achieved an average sensitivity of 94.8% and specificity of 98.0% when compared with phenotypic drug susceptibility test. The turnaround times for the MiSeq and MinION workflows were 38 and 15 hours, facilitating the delivery of treatment guidance at least 17-18 days earlier than pDST respectively. The higher cost per sample on the MinION platform (US$71.56) versus the MiSeq platform (US$67.83) was attributed to differences in batching capabilities.\n\nOur study demonstrated the interchangeability of MiSeq and MinION sequencing workflows for generation of accurate and actionable results for the treatment of tuberculosis.\n\nImportanceTB therapy involving different combinations of antibiotics have been introduced to address the issue of drug resistance. However, this practice has led to increasing numbers of M. tuberculosis with complex drug resistance profiles. Molecular assays for rapid and comprehensive drug resistance profiling of M. tuberculosis are lacking.\n\nHere, we described targeted-sequencing workflows based on Illumina MiSeq and Nanopore MinION for the detection of drug resistance mutations scattered across 19 genetic regions in M. tuberculosis. A bioinformatics pipeline was also developed to translate raw datasets into clinician-friendly reports that provide comprehensive genetic information for the prediction of drug resistance towards 12 antibiotics.\n\nThis is the first study to evaluate and compare the uses of Illumina and Nanopore platforms for diagnosis of drug-resistant tuberculosis. Remarkably, our diagnostic strategy is compatible with different sequencing platforms that can be applied in diagnostic centres with different levels of throughput and financial support for TB diagnosis.

microbiology

A Drosophila metainflammation-blood tumor model links aspirin-triggered eicosanoid-like mediators to immune signaling

Accumulating data from epidemiologic studies are linking aspirins use to a decline in chronic and metabolic inflammation that underlies many human diseases including some cancers. Aspirin reduces cyclooxygenase-mediated pro-inflammatory prostaglandins and promotes the production of pro-resolution molecules. Aspirin also triggers the production of anti-inflammatory electrophilic mono-oxygenated lipid mediators implicated in human pathologies. With the goal of developing a model system for studying the mechanisms of aspirin in reducing inflammation, we investigated aspirins effects in fruit fly models of chronic inflammation. Ectopic Toll/NF-{kappa}B and JAK/STAT signaling in D. melanogaster results in an overproliferation of hematopoietic blood progenitors coupled with metabolic inflammation in adipocytes. We report that, like mammals, flies are sensitive to aspirin treatment and it modulates the Toll-NF-{kappa}B axis. Aspirin-treated mutants simultaneously experience reduction in metabolic inflammation, mitosis, ectopic immune signaling, and macrophage infiltration. Moreover, flies synthesize 13-HODE, and aspirin triggers 13-EFOX-L2 production in mutants. In such flies with ectopic immune signaling, providing 13-HODEs precursor linoleic acid or performing targeted knockdown of transcription factor STAT in inflammatory blood cells boosts 13-EFOX-L2 levels while decreasing metabolic inflammation. Thus, hematopoietic cells regulate metabolic inflammation in flies, and their effects can be reversed by pharmaceutical or dietary intervention, suggesting deep phylogenetic conservation in animals ability to resolve systemic inflammation and repair tissue damage. This model system brings the power of Drosophila genetics to bear on immuno-metabolic mechanisms that boost systemic health and healing, with the potential to identify new targets for the treatment of chronic diseases in humans.

immunology