Publications by authors named "Barilar I"

Tuberculosis epidemics have traditionally been conceptualized as arising from a single uniform pathogen. However, -complex (Mtbc), the pathogen causing tuberculosis in humans, encompasses multiple lineages exhibiting genetic and phenotypic diversity that may be responsible for heterogeneity in TB transmission. We analysed a population-based dataset of 1,354 Mtbc whole-genome sequences collected over four years in Botswana, a country with high HIV and tuberculosis burden.

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Background: The integration of genomic and geospatial data into infectious disease transmission analyses typically includes residential locations and excludes other activity spaces where transmission may occur ( work, school, or social venues). The objective of this analysis was to explore residential as well as other activity spaces of tuberculosis (TB) outbreaks to identify potential geospatial 'hotspots' of transmission.

Methods: We analyzed data that included geospatial coordinates for residence and other activity spaces collected during 2012-2016 for the Kopanyo Study, a population-based study of TB transmission in Botswana.

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Article Synopsis
  • Whole genome sequencing of Mycobacterium tuberculosis complex (MTBC) isolates can effectively predict which anti-tuberculosis drugs will work or not work against them.
  • Current methods for analyzing this data can be complex and hard to find, as many bioinformatic tools and mutation catalogs are tailored for specific needs.
  • This text offers a clear, step-by-step guide on how to process short-read sequencing data and reviews the analysis pipelines available for researchers.
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Article Synopsis
  • Whole genome sequencing (WGS) is increasingly used for testing antibiotic susceptibility in Mycobacterium tuberculosis complex (MTBC) isolates.
  • The process begins with DNA-library preparation, which involves creating unique short DNA fragments that represent the sample’s genomic content.
  • Existing protocols may require customization by labs to ensure effective implementation of WGS, so this text offers a detailed workflow adapted from an Illumina protocol to help reduce costs.
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Unlabelled: Multidrug-resistant tuberculosis (MDR-TB) management has become a serious global health challenge. Understanding its epidemic determinants on the regional level is crucial for developing effective control measures. We used whole genome sequencing data of 238 of complex (MTBC) strains to determine drug resistance profiles, phylogeny, and transmission dynamics of MDR/rifampicin-resistant (RR) MTBC strains from Sierra Leone.

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Objectives: Heteroresistant infections are defined as infections in which a mixture of drug-resistant and drug-susceptible populations are present. In (), heteroresistance poses a challenge in diagnosis and has been linked with poor treatment outcomes. We compared the analytical sensitivity of molecular methods, such as GeneXpert and whole genome sequencing (WGS) in detecting heteroresistance when compared with the 'gold standard' phenotypic assay: the agar proportion method (APM).

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Background: In 2021, an estimated 4800 people developed rifampicin-resistant tuberculosis in Mozambique, 75% of which went undiagnosed. Detailed molecular data on rifampicin-resistant and multidrug-resistant (MDR) tuberculosis are not available. Here, we aimed at gaining precise data on the determinants of rifampicin-resistant and MDR tuberculosis in Mozambique.

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GeneXpert MTB/RIF, a tool widely used for diagnosing tuberculosis, has limitations for detecting rifampin resistance in certain variants. We report transmission of a pre-extensively drug-resistant variant in Botswana that went undetected by GeneXpert. The public health impact of misdiagnosis emphasizes the need for comprehensive molecular testing to identify resistance and guide treatment.

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As meropenem-clavulanic acid is recommended for the treatment of drug-resistant tuberculosis, the repurposing of new carbapenem combinations may provide new treatment options, including oral alternatives. Therefore, we studied the activities of meropenem-vaborbactam, meropenem-clavulanic acid, and tebipenem-clavulanic acid. One hundred nine complex (MTBC) clinical isolates were tested, of which 69 were pan-susceptible and the remaining pyrazinamide- or multidrug-resistant.

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Whole genome sequencing (WGS) has become the main tool for studying the transmission of Mycobacterium tuberculosis complex (MTBC) strains; however, the clonal expansion of one strain often limits its application in local MTBC outbreaks. The use of an alternative reference genome and the inclusion of repetitive regions in the analysis could potentially increase the resolution, but the added value has not yet been defined. Here, we leveraged short and long WGS read data of a previously reported MTBC outbreak in the Colombian Amazon Region to analyze possible transmission chains among 74 patients in the indigenous setting of Puerto Nariño (March to October 2016).

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Applying whole-genome-sequencing, we aimed to detect transmission events of multidrug-resistant/rifampin-resistant strains of Mycobacterium tuberculosis complex at a tuberculosis hospital in Chisinau, Moldova. We recorded ward, room, and bed information for each patient and monitored in-hospital transfers over 1 year. Detailed molecular and patient surveillance revealed only 2 nosocomial transmission events.

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Combining genomic and geospatial data can be useful for understanding Mycobacterium tuberculosis transmission in high-burden tuberculosis (TB) settings. We performed whole-genome sequencing on M. tuberculosis DNA extracted from sputum cultures from a population-based TB study conducted in Gaborone, Botswana, during 2012-2016.

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Identifying host factors that influence infectious disease transmission is an important step toward developing interventions to reduce disease incidence. Recent advances in methods for reconstructing infectious disease transmission events using pathogen genomic and epidemiological data open the door for investigation of host factors that affect onward transmission. While most transmission reconstruction methods are designed to work with densely sampled outbreaks, these methods are making their way into surveillance studies, where the fraction of sampled cases with sequenced pathogens could be relatively low.

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Article Synopsis
  • Multidrug-resistant Mycobacterium tuberculosis (MDR MTBC) strains are a major health concern in India, contributing significantly to global MDR-TB cases, with 36% being fluoroquinolone resistant, leading to higher rates of pre-XDR and XDR-TB.
  • A study involving 1852 MTBC strains from patients in Mumbai utilized whole genome sequencing and statistical analyses, revealing that 69.2% of MDR strains were pre-XDR and 4.4% were XDR, with high cluster rates linked to dominant L2 (Beijing) strain clusters.
  • The findings indicated that L2 strains had notable resistance rates and higher success in an epidemic context
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Background: Whole-genome sequencing (WGS) of Mycobacterium tuberculosis complex has become an important tool in diagnosis and management of drug-resistant tuberculosis. However, data correlating resistance genotype with quantitative phenotypic antimicrobial susceptibility testing (AST) are scarce.

Methods: In a prospective multicentre observational study, 900 clinical M tuberculosis complex isolates were collected from adults with drug-resistant tuberculosis in five high-endemic tuberculosis settings around the world (Georgia, Moldova, Peru, South Africa, and Viet Nam) between Dec 5, 2014, and Dec 12, 2017.

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Article Synopsis
  • The study focuses on complex Mycobacterium tuberculosis Lineage 3 (L3) strains, which are prevalent in regions with high tuberculosis rates, analyzing 2682 strains from 38 countries.
  • Researchers used advanced techniques like MIRU-VNTR genotyping and whole-genome sequencing to explore the genetic diversity and population structure of L3 strains across five continents.
  • Findings indicate that L3 strains originated in Southern Asia and later spread to North-East and East Africa, offering insights that could aid in the development of new treatments and vaccines for tuberculosis.
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Background: Rifampicin- or multidrug-resistant (RR/MDR) complex (MTBC) strains account for considerable morbidity and mortality globally. WGS-based prediction of drug resistance may guide clinical decisions, especially for the design of RR/MDR-TB therapies.

Methods: We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay.

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Rationale: Bedaquiline has been classified as a group A drug for the treatment of multidrug-resistant tuberculosis (MDR-TB) by the World Health Organization; however, globally emerging resistance threatens the effectivity of novel MDR-TB treatment regimens.

Objectives: We analysed pre-existing and emerging bedaquiline resistance in bedaquiline-based MDR-TB therapies, and risk factors associated with treatment failure and death.

Methods: In a cross-sectional cohort study, we employed patient data, whole-genome sequencing (WGS) and phenotyping of complex (MTBC) isolates.

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Antibiotic resistance among bacterial pathogens poses a major global health threat. Mycobacterium tuberculosis complex (MTBC) is estimated to have the highest resistance rates of any pathogen globally. Given the low growth rate and the need for a biosafety level 3 laboratory, the only realistic avenue to scale up drug susceptibility testing (DST) for this pathogen is to rely on genotypic techniques.

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Background: Comprehensive and reliable drug susceptibility testing (DST) is urgently needed to provide adequate treatment regimens for patients with multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB). We determined whether next-generation sequencing (NGS) analysis of Mycobacterium tuberculosis complex isolates and genes implicated in drug resistance can guide the design of effective MDR/RR-TB treatment regimens.

Methods: NGS-based genomic DST predictions of M.

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Background: Multidrug-resistant (MDR) Mycobacterium tuberculosis complex strains not detected by commercial molecular drug susceptibility testing (mDST) assays due to the RpoB I491F resistance mutation are threatening the control of MDR tuberculosis (MDR-TB) in Eswatini.

Methods: We investigate the evolution and spread of MDR strains in Eswatini with a focus on bedaquiline (BDQ) and clofazimine (CFZ) resistance using whole-genome sequencing in two collections ((1) national drug resistance survey, 2009-2010; (2) MDR strains from the Nhlangano region, 2014-2017).

Results: MDR strains in collection 1 had a high cluster rate (95%, 117/123 MDR strains) with 55% grouped into the two largest clusters (gCL3, n = 28; gCL10, n = 40).

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Accurate drug resistance detection is key for guiding effective tuberculosis treatment. While genotypic resistance can be rapidly detected by molecular methods, their application is challenged by mixed mycobacterial populations comprising both susceptible and resistant cells (heteroresistance). For this, next-generation sequencing (NGS) based approaches promise the determination of variants even at low frequencies.

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Article Synopsis
  • Recent studies indicate a growing global threat from multidrug-resistant pathogens, particularly Stenotrophomonas maltophilia, which poses risks to healthcare settings.
  • An international analysis of this pathogen revealed it is divided into 23 distinct lineages, many of which contain strains capable of varying levels of human virulence.
  • Notably, lineage Sm6 was found to have the highest association with human infections and includes key genes linked to virulence and antibiotic resistance, suggesting potential for hospital outbreaks among closely related strains.
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