Publications by authors named "Pundharika Piboonsiri"

Article Synopsis
  • Tuberculosis caused by Mycobacterium tuberculosis (Mtb) remains a major global health concern, and this study introduces a new method to identify large genetic insertions and deletions (indels) that have been overlooked.
  • The analysis of 1,960 Mtb clinical isolates shows that harmful genetic variants are rarely found in essential survival genes, while Mtb genomes contain many partially harmful mutations.
  • The research also links specific genetic variations, including indels in various genes, to patient outcomes and antibiotic resistance, offering insights that could improve tuberculosis treatment and prediction of risks.
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To determine contributions of previously incarcerated persons to tuberculosis (TB) transmission in the community, we performed a healthcare facility-based cohort study of TB patients in Thailand during 2017-2020. We used whole-genome sequencing of Mycobacterium tuberculosis isolates from patients to identify genotypic clusters and assess the association between previous incarceration and TB transmission in the community. We identified 4 large genotype clusters (>10 TB patients/cluster); 28% (14/50) of the patients in those clusters were formerly incarcerated.

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In response to the SARS-CoV-2 Delta variant, which partially escaped the vaccine-induced immunity provided by two doses of vaccination with CoronaVac (Sinovac), the National Vaccine Committee recommended the heterologous CoronaVac-ChAdOx1 (Oxford−AstraZeneca), a prime−boost vaccine regimen. This pilot study aimed to describe the immunogenicity and adverse events of the heterologous CoronaVac-ChAdOx1 regimen, in comparison with homologous CoronaVac, and homologous ChAdOx1. Between May and August 2021, we recruited a total of 354 participants from four vaccination groups: the CoronaVac-ChAdOx1 vaccinee (n = 155), the homologous CoronaVac vaccinee (n = 32), the homologous ChAdOx1 vaccinee (n = 47), and control group of COVID-19 patients (n = 120).

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Objective: To support the End TB strategy with an informatics system that integrates genomic data and the geographic information system (GIS) of (MTB) clinical isolates. We aim to develop a system prototype for implementing genomic data to support multiple drug-resistant tuberculosis (MDR-TB) control.

Methods: A 12-step data value chain was applied to describe the information flow within the system.

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