Transcriptional profiles discriminate patients with pulmonary tuberculosis from non-tuberculous individuals depending on the presence of non-insulin diabetes mellitus.

Our objective was to identify transcriptional biomarkers in peripheral blood mononuclear cells (PBMC) that discriminate individuals with latent tuberculosis infection (LTBI) from those with pulmonary tuberculosis (PTB) in subjects with non-insulin-dependent diabetes mellitus (NIDDM) and in individuals without NIDDM. Using gene expression microarrays we identified differentially expressed genes from lungs of mice infected with Mycobacterium tuberculosis (Mtb) or a mutant (ΔsigH) representing a non-inflammatory model. Genes expressed in blood, with inflammatory related functions were evaluated in humans by RT-qPCR. NCF1 and ORM transcripts have the better discriminatory capacity to identify PTB subjects from LTBI and non-infected controls (NICs) independently of the presence of NIDDM. The sequential evaluation of the mRNA levels of NCF1 and ORM as multiple diagnostic tests showed 95% Sensitivity (Se) and 80% Specificity (Sp). In addition, FPR2 promises to be a good biomarker for the PTB detection in subjects with NIDDM (Se=100%; Sp=90%).

Mutation at embB codon 306, a potential marker for the identification of multidrug resistance associated with ethambutol in Mycobacterium tuberculosis.

Ethambutol inhibits arabinogalactan and lipoarabinomannan biosynthesis in mycobacteria. The occurrence of mutations in embB codon 306 in ethambutol-susceptible isolates and their absence in resistant isolates has raised questions regarding the utility of this codon as a potential marker for resistance against ethambutol. The characterization of mutations on embB 306 will contribute to a better understanding of the mechanisms of resistance to this drug; therefore, the purpose of this study was to investigate the association between embB 306 mutations and first-line drug resistance profiles in tuberculosis isolates. We sequenced the region surrounding the embB 306 codon in 175 tuberculosis clinical isolates, divided according to drug sensitivity, in three groups: 110 were resistant to at least one first-line drug, of which 61 were resistant to ethambutol (EMB(r)), 49 were sensitive to ethambutol (EMB(s)) but were resistant to another drug, and 65 were pansensitive isolates (P(s)). The associations between embB 306 mutations and phenotypic resistance to all first-line drugs were determined, and their validity and safety as a diagnostic marker were assessed. One of the P(s) isolates (1/65), one of the EMB(s) isolates (1/49), and 20 of the EMB(r) isolates (20/61) presented with an embB 306 mutation. Four different single-nucleotide polymorphisms (SNPs) at embB 306 were associated with simultaneous resistance to ethambutol, isoniazid, and rifampin (odds ratio [OR], 17.7; confidence interval [CI], 5.6 to 56.1) and showed a positive predictive value of 82%, with a specificity of 97% for diagnosing multidrug resistance associated with ethambutol, indicating its potential as a molecular marker for several drugs.

Assessing the utility of three TaqMan probes for the diagnosis of tuberculosis and resistance to rifampin and isoniazid in Veracruz, México.

Mutations at codons 526 and 531 in the rpoB gene and at 315 in the katG gene are considered diagnostic markers for resistance to rifampin and isoniazid in tuberculosis. The aim of this study was to design and evaluate three TaqMan probes for the identification of these mutations in 138 respiratory samples positive for acid-fast bacilli, and 32 clinical isolates from a region with considerable levels of drug resistance. The specificities of the probes for the diagnosis of resistance to both drugs were 100%; however, the sensitivities were calculated to be 50% for isoniazid and 56% for rifampin. DNA sequencing of rpoB and katG; and the spoligotyping assay of the clinical isolates, confirmed the diversity of the mutations and the presence of 11 spoligotypes with a shared international type and eight unique spoligotypes. Analysis of the respiratory samples identified 22 (16%) as drug-resistant and 4 (3%) as multidrug-resistant tuberculosis. The diagnostic value of the TaqMan probes was compromised by the diversity of mutations found in the clinical isolates. This highlights the need for better understanding of the molecular mechanisms responsible for drug resistance prior to the use of molecular probes, especially in regions with significant levels of drug-resistant tuberculosis.

Rapid Identification of Drug Resistance and Phylogeny in M. tuberculosis, Directly from Sputum Samples.

Tuberculosis (TB) remains one of the most important infectious diseases globally. Establishing a resistance profile from the initial TB diagnosis is a priority. Rapid molecular tests evaluate only the most common genetic variants responsible for resistance to certain drugs, and Whole Genome Sequencing (WGS) needs culture prior to next-generation sequencing (NGS), limiting their clinical value. Targeted sequencing (TS) from clinical samples avoids these drawbacks, providing a signature of genetic markers that can be associated with drug resistance and phylogeny. In this study, a proof-of-concept protocol was developed for detecting genomic variants associated with drug resistance and for the phylogenetic classification of Mycobacterium Tuberculosis (Mtb) in sputum samples. Initially, a set of Mtb reference strains from the WHO were sequenced (WGS and TS). The results from the protocol agreed >95% with WHO reported data and phenotypic drug susceptibility testing (pDST). Lineage genetics results were 100% concordant with those derived from WGS. After that, the TS protocol was applied to sputum samples from TB patients to detect resistance to first- and second-line drugs and derive phylogeny. The accuracy was >90% for all evaluated drugs, except Eto/Pto (77.8%), and 100% were phylogenetically classified. The results indicate that the described protocol, which affords the complete drug resistance profile and phylogeny of Mtb from sputum, could be useful in the clinical area, advancing toward more personalized and more effective treatments in the near future. IMPORTANCE The COVID-19 pandemic negatively affected the progress in accessing essential Tuberculosis (TB) services and reducing the burden of TB disease, resulting in a decreased detection of new cases and increased deaths. Generating molecular diagnostic tests with faster results without losing reliability is considered a priority. Specifically, developing an antimicrobial resistance profile from the initial stages of TB diagnosis is essential to ensure appropriate treatment. Currently available rapid molecular tests evaluate only the most common genetic variants responsible for resistance to certain drugs, limiting their clinical value. In this work, targeted sequencing on sputum samples from TB patients was used to identify Mycobacterium tuberculosis mutations in genes associated with drug resistance and to derive a phylogeny of the infecting strain. This protocol constitutes a proof-of-concept toward the goal of helping clinicians select a timely and appropriate treatment by providing them with actionable information beyond current molecular approaches.

Homozygous deletion of glutathione S-transferase theta 1 and mu 1 increase the risk of non-syndromic oral clefts in a Mexican population.

OBJECTIVE: To investigate whether null variants of Glutathione S-transferase Mu 1 (GSTM1) and GST Theta 1 (GSTT1) in infants and mothers, as well as maternal exposures to environmental factors, contribute to the risk of non-syndromic cleft lip with or without palate (NSCL/P) in a Mexican population. DESIGN: We performed a matched pair case-control study, including 98 cases and 98 controls and their mothers. Sociodemographic information and environmental exposures were collected by a questionnaire. Null variants of GSTM1 and GSTT1 were assessed by multiplex Polymerase Chain Reaction (PCR). Odds ratios (OR) and their 95 % confidence intervals (CI) were calculated to estimate risks. The interaction of genetic variables with smoking and adjusted ORs were evaluated by binary logistic regression. RESULTS: Homozygous null GSTM1 was associated with the risk of NSCL/P when present in mothers (OR = 2.45, 95 % CI 1.23-4.86) or infants (OR = 2.98, 95 % CI 1.45-6.14). A higher risk was also found when children carried the homozygous null GSTT1 (OR = 4.89, 95 % CI 2.42-9.87). In mothers, this variant showed a crude risk of 9.17 (95 % CI 3.95-21.29), which increased to OR = 13.81 (95 % CI 1.63-117.09) upon interaction with frequent passive smoking (5-7 days/week). Sociodemographic and other environmental exposures were not significantly associated with the risk of NSCL/P. CONCLUSIONS: Maternal and infant GSTT1 and GSTM1 homozygous null genotypes were associated with a higher risk of NSCL/P, and the results suggest an interaction of the maternal GSTT1-null/null genotype with frequent passive smoking.

A bioinformatics pipeline for Mycobacterium tuberculosis sequencing that cleans contaminant reads from sputum samples.

Next-Generation Sequencing (NGS) is widely used to investigate genomic variation. In several studies, the genetic variation of Mycobacterium tuberculosis has been analyzed in sputum samples without previous culture, using target enrichment methodologies for NGS. Alignments obtained by different programs generally map the sequences under default parameters, and from these results, it is assumed that only Mycobacterium reads will be obtained. However, variants of interest microorganism in clinical samples can be confused with a vast collection of reads from other bacteria, viruses, and human DNA. Currently, there are no standardized pipelines, and the cleaning success is never verified since there is a lack of rigorous controls to identify and remove reads from other sputum-microorganisms genetically similar to M. tuberculosis. Therefore, we designed a bioinformatic pipeline to process NGS data from sputum samples, including several filters and quality control points to identify and eliminate non-M. tuberculosis reads to obtain a reliable genetic variant report. Our proposal uses the SURPI software as a taxonomic classifier to filter input sequences and perform a mapping that provides the highest percentage of Mycobacterium reads, minimizing the reads from other microorganisms. We then use the filtered sequences to perform variant calling with the GATK software, ensuring the mapping quality, realignment, recalibration, hard-filtering, and post-filter to increase the reliability of the reported variants. Using default mapping parameters, we identified reads of contaminant bacteria, such as Streptococcus, Rhotia, Actinomyces, and Veillonella. Our final mapping strategy allowed a sequence identity of 97.8% between the input reads and the whole M. tuberculosis reference genome H37Rv using a genomic edit distance of three, thus removing 98.8% of the off-target sequences with a Mycobacterium reads loss of 1.7%. Finally, more than 200 unreliable genetic variants were removed during the variant calling, increasing the report's reliability.

[Drug resistant tuberculosis: molecular mechanisms and diagnostic methods]. / Tuberculosis drogorresistente: mecanismos moleculares y métodos diagnósticos.

Drug resistant tuberculosis: Molecular mechanisms and diagnostic methods. Despite the fact that Tuberculosis (TB) has been found in humans since the Neolithic Age, it still remains serious public health problem, increased in the last few years due to the phenomenon of drug resistance (DR). The World Health Organization (WHO) established that the diagnosis of tuberculosis drug resistance (DR) is essential for its control, and at the same time considers that the traditional diagnostic procedures have reached their limit. In view of this critical scenario, the understanding of the molecular mechanisms that explain the phenomenon of the TB-DR, in combination with novel techniques in molecular biology, are allowing a new generation of diagnostic procedures to be developed for TB-DR. However, this work sets out to answer the questions of what these molecular mechanisms TB-DR are,as well as their characteristics, advantages and limitations of these new diagnostic methodologies.

Allele Frequency of ACE2 Intron Variants and Its Association with Blood Pressure.

Angiotensin-converting enzyme 2 (ACE2) is known as the counter-regulator of the renin-angiotensin system, it cleaves angiotensin II to render Ag 1-7, a potent vasodilator with multiple roles in cardiovascular protection. A few studies have pinpointed ACE2 polymorphisms and their relationship with heart function and hypertension in a sex-dependent manner. These observations still lack replication mostly for admixed populations. This study aimed to report minor allele frequencies of four ACE2 intron variants, rs2285666, rs2048683, rs2106809, and rs4240157, derived from previous research using the GSA, v1.0, microarray in 1231 hypertensive and nonhypertensive patients. Logistic and multiple linear regression models were developed to identify potential associations with hypertension status and systolic and diastolic blood pressure (SBP and DBP). Allele frequency differences were identified for ACE2 rs2048683 and rs4240157 in populations with European ancestry and people of the Americas. Regression analyses identified a significant association of ACE2 rs2048683 and rs4240157 with SBP/DBP in males or females. Our observations confirm sex differences in ACE2 genetic associations with SBP and DBP and contribute to the collection of genetic variation in ACE2 for admixed populations.

Characterization of Polymorphisms Associated with Multidrug-Resistant Tuberculosis by Whole Genomic Sequencing: A Preliminary Report from Mexico.

Whole genome sequencing (WGS) has been proposed as a tool for the diagnosis of drug resistance in tuberculosis (TB); however, there have been few studies on its effectiveness in countries with significantly high drug resistance rates. This study therefore aimed to evaluate the effectiveness of WGS to identify mutations related to drug resistance in TB isolates from an endemic region of Mexico. The results showed that, of 35 multidrug-resistant isolates analyzed, the values of congruence found between the phenotypic drug susceptibility testing and polymorphisms were 94% for isoniazid, 97% for rifampicin, 90% for ethambutol, and 82% for pyrazinamide. It was also possible to identify eight isolates as potential pre-extensive drug resistant (XDR) and one as XDR. Twenty nine isolates were classified within L4 and two transmission clusters were identified. The results show the potential utility of WGS for predicting resistance against first- and second-line drugs, as well as providing a phylogenetic characterization of TB drug-resistant isolates circulating in Mexico.

rpoB, katG and inhA mutations in multi-drug resistant strains of Mycobacterium tuberculosis clinical isolates from southeast Mexico.

INTRODUCTION: Previous knowledge of molecular mechanisms related with multi-drug resistances in tuberculosis is important if molecular diagnostic procedures want to be used in specific geographical regions. For that reason, the aim of this study was to investigate the mutations at rpoB, katG and inhA in multi-drug resistant tuberculosis isolates from Southeast Mexico. METHODS: Isolates of tuberculosis with a confirmed resistance against rifampicin and isoniazid were collected and sequencing analysis was performed of the rpoB rifampicin resistance-determining region, the katG and the encoding region of inhA. RESULT: Of 74 isolates with multidrug resistance, 34 (46%) presented six mutations in katG; the most abundant was katG315 in 29 (39%) isolates. At inhA, nine (11%) isolates presented three mutations; the most frequent was inhA21, located in five (6%) strains. Eleven polymorphisms were observed at rpoB in 61 (82%) isolates, prevailing rpoB531 and rpoB 526 in 48 (64%) and ten (12%) isolates, respectively. Eleven double combinations were observed in 39 (52%) isolates, the most common of which was rpoB531+katG315, found in 22 (29%) strains. CONCLUSION: This study provides valuable information on the diversity of polymorphisms in genes related to multidrug-resistant tuberculosis, as well as the presence of new mutations not previously described; this information should be considered in the implementation of molecular diagnostic tests.

Whole genomic sequencing as a tool for diagnosis of drug and multidrug-resistance tuberculosis in an endemic region in Mexico.

BACKGROUND: Whole genome sequencing (WGS) has been proposed as a tool for diagnosing drug resistance in tuberculosis. However, reports of its effectiveness in endemic countries with important numbers of drug resistance are scarce. The goal of this study was to evaluate the effectiveness of this procedure in isolates from a tuberculosis endemic region in Mexico. METHODS: WGS analysis was performed in 81 tuberculosis positive clinical isolates with a known phenotypic profile of resistance against first-line drugs (isoniazid, rifampin, ethambutol, pyrazinamide and streptomycin). Mutations related to drug resistance were identified for each isolate; drug resistant genotypes were predicted and compared with the phenotypic profile. Genotypes and transmission clusters based on genetic distances were also characterized. FINDINGS: Prediction by WGS analysis of resistance against isoniazid, rifampicin, ethambutol, pyrazinamide and streptomycin showed sensitivity values of 84%, 96%, 71%, 75% and 29%, while specificity values were 100%, 94%, 90%, 90% and 98%, respectively. Prediction of multidrug resistance showed a sensitivity of 89% and specificity of 97%. Moreover, WGS analysis revealed polymorphisms related to second-line drug resistance, enabling classification of eight and two clinical isolates as pre- and extreme drug-resistant cases, respectively. Lastly, four lineages were identified in the population (L1, L2, L3 and L4). The most frequent of these was L4, which included 90% (77) of the isolates. Six transmission clusters were identified; the most frequent was TC6, which included 13 isolates with a L4.1.1 and a predominantly multidrug-resistant condition. CONCLUSIONS: The results illustrate the utility of WGS for establishing the potential for prediction of resistance against first and second line drugs in isolates of tuberculosis from the region. They also demonstrate the feasibility of this procedure for use as a tool to support the epidemiological surveillance of drug- and multidrug-resistant tuberculosis.

Improvement in the Diagnosis of Tuberculosis Combining Mycobacterium Tuberculosis Immunodominant Peptides and Serum Host Biomarkers.

BACKGROUND: Pulmonary tuberculosis (PTB) is a public health problem with 10.4 million new cases reported in 2017 (1). According to the World Health Organization (WHO), accurate diagnostic tests based in serum biomarkers to detect new cases of tuberculosis are necessary. AIM OF THE STUDY: To evaluate antibodies against Mycobacterium. tuberculosis (Mtb) peptides (Ab-Mtb) and three soluble host biomarkers by ELISA serial multiple test in sera from non-infected controls (NIC, n = 31), latent tuberculosis (LTB, n = 37) and PTB (n = 28) patients in a diagnosis tuberculosis assay. MATERIALS AND METHODS: Levels of four Ab-Mtb peptides derived from Mtb and three host response molecules in serum from NIC, LTB and PTB were evaluated by ELISA as tuberculosis biomarkers. Multiple comparisons tests, determination of diagnostic values and ROC curves were performed. Serial and parallel multiple tests were performed with the biomarkers with the highest discriminatory capacity to improve diagnostic values of the test. RESULTS: We found significant differences between biomarkers levels in PTB comparing LTB and NIC to all candidate biomarkers; peptides P12033, P12037, and serum biomarkers such as sCD14 and chemokine CXCL9 showed the best sensitivity and specificity, the highest discriminatory power, and the best area under the curve (AUC) individually. In serial multiple tests, P12037 and sCD14 together have 92% of sensitivity and 91% of specificity, with positive and negative likelihood ratios greater than 10. CONCLUSIONS: Ab-Mtb peptide P12037 and sCD14 could be applied in a diagnostic test for suspected PTB to improve accuracy and time to diagnosis and could be implemented in a POCT device which can be affordable.

Saliva: a fluid of study for OMICS.

Saliva is a fluid that can be collected easily and noninvasively. Its functions in the oral cavity are well known. Advances in molecular biology and technology, as well as research conducted by the various disciplines of omics (genomics, transcriptomics, proteomics, metabolomics, and metagenomics) have contributed to the identification and characterization of salivary components, including DNA, RNA, proteins, metabolites, and microorganisms. These biomolecules enter the saliva through extracellular and intracellular routes, providing information from several organs and systems and raising the possibility of their use as disease biomarkers. In recent years, these factors have expanded the potential use of saliva as a diagnostic fluid for oral and systemic diseases. This review integrates information regarding salivary biomolecules studied through omics and explores their utility as biomarkers for the diagnosis of several infectious and noninfectious diseases, and the opportunity they represent for the development of point of care devices for clinical application. We also discuss the advantages, disadvantages, and challenges to be overcome in order to establish saliva as a useful fluid for the accurate diagnosis and monitoring of a wide range of diseases.

Characterization of pncA gene mutations in pyrazinamide-resistant Mycobacterium tuberculosis isolates from Mexico.

Numerous studies have linked mutations in the pncA gene with resistance to pyrazinamide (Z) in Mycobacterium tuberculosis. However, variations in these mutations are specific to the country of origin of the isolate. The aim of this study was to characterize changes in pncA gene sequence in isolates of M. tuberculosis with resistance to Z, from patients in Mexico. M. tuberculosis isolates were recovered from individuals suspected of carrying drug resistant tuberculosis and respective susceptibility tests were developed. In isolates with resistance to pyrazinamide the pncA gene and its promoter were analyzed by capillary sequencing. From 127 drug-resistant isolates collected, 42 (33%) were resistant to pyrazinamide. The pncA sequences showed 26 changes in 34 (81%) isolates: 18 SNPs (n=26, 62%), four insertions (n=4, 9.5%) and four deletions (n=4, 9.5%). Absence of modifications was observed in eight (19%) sequences/isolates. The most frequent changes were the mutations L120P (n=7) and K96R (n=4). Twelve changes found are reported for the first time. This is the first description of pncA gene modifications in pyrazinamide resistant isolates originating in Mexico. We conclude that the diversity of changes in pncA indicates the presence of a noteworthy variety of pyrazinamide resistant strains occurring in the area.

rrs and rpsL mutations in streptomycin-resistant isolates of Mycobacterium tuberculosis from Mexico.

BACKGROUND/PURPOSE: Mutations in rpsL and rrs genes are associated with resistance to streptomycin in tuberculosis, but important geographical variation exists in these mutations. The goal of this study was to characterize these mutations in isolates of streptomycin-resistant mycobacteria originating from southeast Mexico. METHODS: Mycobacteria were isolated from patients with suspected drug-resistant tuberculosis. Susceptibility tests were carried out using the fluorometric method, and rrs and rpsL DNA sequencing was performed by capillary electrophoresis. RESULTS: Some 136 drug-resistant isolates were recovered, of which 91(67%) exhibited resistance to streptomycin. Mutations in rpsL were observed in 18 isolates (19%) in codons 43 (A→G, K/R, n = 12) and 88 (A→G, K/R, n = 4; A→C, K/Q, n = 2). Mutations in rrs were observed in 26 isolates (28%). These were at nucleotides 513 (A→C, n = 8) and 516 (C→T, n = 6), and six novel mutations at nucleotides 483 (A→T, n = 2), 485 (A→G, n = 2), 496 (G→A, n = 2), 795 (C→T, n = 6), 870 (C→T, n = 3), and 907 (A→C, n = 3), with some isolates showing more than one mutation. Finally, 47 (52%) of the isolates showed no mutation. CONCLUSION: The variety and presence or absence of the mutations found suggest the circulation of an important diversity of strains and the existence of additional mechanisms contributing to streptomycin resistance in the region.