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1.
Clin Infect Dis ; 78(4): 842-845, 2024 Apr 10.
Article in English | MEDLINE | ID: mdl-38048599

ABSTRACT

Multidrug-resistant(MDR) tuberculosis in Southern Africa is of great concern, exacerbated by the spread of a clone harboring a mutation missed by Xpert Ultra. In Southern Mozambique, the presence of such mutation and rising cases of non-MDR isoniazid resistance highlights the need to ensure accurate detection of antimicrobial-resistance in the country.


Subject(s)
Mycobacterium tuberculosis , Tuberculosis, Multidrug-Resistant , Humans , Rifampin/pharmacology , Rifampin/therapeutic use , Mycobacterium tuberculosis/genetics , Tuberculosis, Multidrug-Resistant/diagnosis , Tuberculosis, Multidrug-Resistant/drug therapy , Drug Resistance, Bacterial/genetics , Mozambique , Mutation , Sensitivity and Specificity
2.
Microb Genom ; 7(12)2021 12.
Article in English | MEDLINE | ID: mdl-34919513

ABSTRACT

A rapid and accurate diagnostic assay represents an important means to detect Mycobacterium tuberculosis, identify drug-resistant strains and ensure treatment success. Currently employed techniques to diagnose drug-resistant tuberculosis include slow phenotypic tests or more rapid molecular assays that evaluate a limited range of drugs. Whole-genome-sequencing-based approaches can detect known drug-resistance-conferring mutations and novel variations; however, the dependence on growing samples in culture, and the associated delays in achieving results, represents a significant limitation. As an alternative, targeted sequencing strategies can be directly performed on clinical samples at high throughput. This study proposes a targeted sequencing assay to rapidly detect drug-resistant strains of M. tuberculosis using the Nanopore MinION sequencing platform. We designed a single-tube assay that targets nine genes associated with drug resistance to seven drugs and two phylogenetic-determining regions to determine strain lineage and tested it in nine clinical isolates and six sputa. The study's main aim is to calibrate MinNION variant calling to detect drug-resistance-associated mutations with different frequencies to match the accuracy of Illumina (the current gold-standard sequencing technology) from both culture and sputum samples. After calibrating Nanopore MinION variant calling, we demonstrated 100% agreement between Illumina WGS and our MinION set up to detect known drug resistance and phylogenetic variants in our dataset. Importantly, other variants in the amplicons are also detected, decreasing the recall. We identify minority variants and insertions/deletions as crucial bioinformatics challenges to fully reproduce Illumina WGS results.


Subject(s)
Bacterial Proteins/genetics , Drug Resistance, Bacterial , Mycobacterium tuberculosis/genetics , Nanopore Sequencing/methods , High-Throughput Nucleotide Sequencing , Humans , Microbial Sensitivity Tests , Mutation , Mycobacterium tuberculosis/classification , Mycobacterium tuberculosis/drug effects , Phylogeny , Sequence Analysis, DNA , Sputum/microbiology
3.
Enferm Infecc Microbiol Clin (Engl Ed) ; 38 Suppl 1: 32-38, 2020 Jan.
Article in English, Spanish | MEDLINE | ID: mdl-32111363

ABSTRACT

For the first time, next generation sequencing technologies provide access to genomic information at a price and scale that allow their implementation in routine clinical practice and epidemiology. While there are still many obstacles to their implementation, there are also multiple examples of their major advantages compared with previous methods. Their main advantage is that a single determination allows epidemiological information on the causative microorganism to be obtained simultaneously, as well as its resistance profile, although these advantages vary according to the pathogen under study. This review discusses several examples of the clinical and epidemiological use of next generation sequencing applied to complete genomes and microbiomes and reflects on its future in clinical practice.


Subject(s)
Communicable Diseases , High-Throughput Nucleotide Sequencing , Communicable Diseases/diagnosis , Communicable Diseases/epidemiology , Genome , Genomics , Humans , Microbiota
4.
Enferm. infecc. microbiol. clín. (Ed. impr.) ; 38(supl.1): 32-38, ene. 2020. mapas
Article in Spanish | IBECS | ID: ibc-201384

ABSTRACT

Por primera vez, la tecnología de secuenciación masiva permite acceder a la información genómica a un precio y a una escala tales, que se está implementado en la práctica clínica y epidemiológica rutinaria. Los obstáculos para dicha implementación son todavía muchos. Sin embargo, ya existen muchos ejemplos de las grandes ventajas que supone en comparación con métodos anteriores. Esto es, sobre todo, porque con una sola determinación podemos obtener simultáneamente información epidemiológica del microorganismo causante, así como de su perfil de resistencias, si bien estas ventajas están más o menos desarrolladas según el patógeno considerado. En esta revisión se repasan varios ejemplos del uso clínico y epidemiológico de la secuenciación masiva aplicada a genomas completos y microbiomas, y se reflexiona sobre su futuro en la práctica clínica


For the first time, next generation sequencing technologies provide access to genomic information at a price and scale that allow their implementation in routine clinical practice and epidemiology. While there are still many obstacles to their implementation, there are also multiple examples of their major advantages compared with previous methods. Their main advantage is that a single determination allows epidemiological information on the causative microorganism to be obtained simultaneously, as well as its resistance profile, although these advantages vary according to the pathogen under study. This review discusses several examples of the clinical and epidemiological use of next generation sequencing applied to complete genomes and microbiomes and reflects on its future in clinical practice


Subject(s)
Humans , Nucleic Acid Amplification Techniques/methods , Communicable Diseases/diagnosis , Communicable Diseases/epidemiology , Drug Resistance, Microbial , Genome , Genomics/methods
5.
Bioinformatics ; 36(4): 985-989, 2020 02 15.
Article in English | MEDLINE | ID: mdl-31580405

ABSTRACT

MOTIVATION: Tuberculosis (TB) remains one of the main causes of death worldwide. The long and cumbersome process of culturing Mycobacterium tuberculosis complex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel TB diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study has been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers. RESULTS: In this work, we used large-scale comparative genomics to identify 40 MTBC-specific loci. We assessed their genetic diversity and physiological features to select 30 that are good targets for diagnostic purposes. Some of these markers could be used to assess the physiological status of the bacilli. Remarkably, none of the most used MTBC markers is in our catalog. Illustrating the translational potential of our work, we develop a specific qPCR assay for quantification and identification of MTBC DNA. Our rational design of targeted molecular assays for TB could be used in many other fields of clinical and basic research. AVAILABILITY AND IMPLEMENTATION: The database of non-tuberculous mycobacteria assemblies can be accessed at: 10.5281/zenodo.3374377. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Mycobacterium tuberculosis , Tuberculosis , Biomarkers , Genomics , Humans
6.
Sci Rep ; 9(1): 15343, 2019 10 25.
Article in English | MEDLINE | ID: mdl-31653874

ABSTRACT

The Mycobacterium tuberculosis complex (MTBC) comprises the species that causes tuberculosis (TB) which affects 10 million people every year. A robust classification of species, lineages, and sub-lineages is important to explore associations with drug resistance, epidemiological patterns or clinical outcomes. We present a rapid and easy-to-follow methodology to classify clinical TB samples into the main MTBC clades. Approaches are based on the identification of lineage and sub-lineage diagnostic SNP using a real-time PCR high resolution melting assay and classic Sanger sequencing from low-concentrated, low quality DNA. Thus, suitable for implementation in middle and low-income countries. Once we validated our molecular procedures, we characterized a total of 491 biological samples from human and cattle hosts, representing countries with different TB burden. Overall, we managed to genotype ~95% of all samples despite coming from unpurified and low-concentrated DNA. Our approach also allowed us to detect zoonotic cases in eight human samples from Nigeria. To conclude, the molecular techniques we have developed, are accurate, discriminative and reproducible. Furthermore, it costs less than other classic typing methods, resulting in an affordable alternative method in TB laboratories.


Subject(s)
Bacterial Typing Techniques/methods , Mycobacterium tuberculosis/classification , Mycobacterium tuberculosis/genetics , Polymorphism, Single Nucleotide/genetics , Genotype , Geography , Humans , Nigeria/epidemiology , Phylogeny , Sequence Analysis, DNA , Spain/epidemiology
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