Tuberculosis (TB) is an ancient infectious disease. Before the availability of effective drug therapy, it had high morbidity and mortality. In the past 100 years, the discovery of revolutionary anti-TB drugs such as streptomycin, isoniazid, pyrazinamide, ethambutol and rifampicin, along with drug combination treatment, has greatly improved TB control globally. As anti-TB drugs were widely used, multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains of Mycobacterium tuberculosis emerged due to acquired genetic mutations, and this now presents a major problem for effective treatment. Genes associated with drug resistance have been identified, including katG mutations in isoniazid resistance, rpoB mutations in rifampin resistance, pncA mutations in pyrazinamide resistance, and gyrA mutations in quinolone resistance. The major mechanisms of drug resistance include loss of enzyme activity in prodrug activation, drug target alteration, overexpression of drug target, and overexpression of the efflux pump. During the disease process, Mycobacterium tuberculosis may reside in different microenvironments where it is expose to acidic pH, low oxygen, reactive oxygen species and anti-TB drugs, which can facilitate the development of non-replicating persisters and promote bacterial survival. The mechanisms of persister formation may include toxin-antitoxin (TA) modules, DNA protection and repair, protein degradation such as trans-translation, efflux, and altered metabolism. In recent years, the use of new anti-TB drugs, repurposed drugs, and their drug combinations has greatly improved treatment outcomes in patients with both drug-susceptible TB and MDR/XDR-TB. The importance of developing more effective drugs targeting persisters of Mycobacterium tuberculosis is emphasized. In addition, host-directed therapeutics using both conventional drugs and herbal medicines for more effective TB treatment should also be explored. In this article, we review historical aspects of the research on anti-TB drugs and discuss the current understanding and treatments of drug resistant and persistent tuberculosis to inform future therapeutic development.
Humans ; Pyrazinamide/therapeutic use* ; Isoniazid/therapeutic use* ; Antitubercular Agents/therapeutic use* ; Tuberculosis, Multidrug-Resistant/microbiology* ; Mycobacterium tuberculosis/genetics* ; Tuberculosis/drug therapy* ; Rifampin/therapeutic use* ; Mutation ; Drug Resistance, Multiple, Bacterial/genetics*

Humans ; Mycobacterium tuberculosis/genetics* ; Microspheres ; Antitubercular Agents/pharmacology* ; Mutation ; Microbial Sensitivity Tests ; Fluoroquinolones ; Drug Resistance, Bacterial/genetics* ; Tuberculosis, Multidrug-Resistant/microbiology*

Humans ; Isoniazid/pharmacology* ; Mycobacterium tuberculosis/genetics* ; Rifampin/pharmacology* ; Antitubercular Agents/pharmacology* ; Mutation ; Microbial Sensitivity Tests ; Tuberculosis, Multidrug-Resistant/microbiology* ; Drug Resistance, Multiple, Bacterial/genetics* ; Bacterial Proteins/genetics*

Objective: To analyze the genomic mutation of Mycobacterium tuberculosis (M. tuberculosis) isolated in endogenous activation period and estimate the molecular clock based on the whole genome sequencing data. Methods: Literatures of the whole genome research of endogenous reactivated tuberculosis were retrieved, and the corresponding whole genome sequencing data were downloaded. We extracted the single nucleotide polymorphisms (SNPs) and strain isolation time of initial treatment and relapse of tuberculosis cases, explored the relationship between the different SNPs and interval between initial treatment and relapse by Poisson regression model, calculated the M. tuberculosis molecular clock, and estimated the mutation rate. Results: When the generation time of M. tuberculosis was 18 hours, the mutation rate in 0-2 years, i.e. short-term endogenous activation, was 6.47×10^-10 (95%CI: 5.59×10^-10-7.44×10^-10), which was significantly higher than that in 2-14 years in long term endogenous activation (3.27×10^-10, 95%CI: 2.88×10^-10-3.69×10^-10). The mutation rates of 0-, 1-, 2-, 3-, 5- and 7-14 years were 7.10×10^-10, 6.06×10^-10, 4.24×10^-10, 5.34×10^-10, 2.59×10^-10 and 1.26×10^-10 respectively. Conclusions: In the period of endogenous reactivation, the mutation rate of M. tuberculosis decreases with the interval time between initial treatment and relapse, which verifies the clinically observed phenomenon that the relapse often occurs within two years after the initial treatment of tuberculosis.
Genome, Bacterial ; Humans ; Mycobacterium tuberculosis/genetics* ; Recurrence ; Tuberculosis/microbiology* ; Whole Genome Sequencing

Diagnostic Tests, Routine ; methods ; Humans ; Mycobacterium tuberculosis ; isolation & purification ; Sensitivity and Specificity ; Tuberculosis, Pulmonary ; diagnosis ; microbiology

Two new isomeric modified tripeptides, aspergillamides C and D (compounds 1 and 2), together with fifteen known compounds (compounds 3-17), were obtained from the marine sponge-derived fungus Aspergillus terreus SCSIO 41008. The structures of the new compounds, including absolute configurations, were determined by extensive analyses of spectroscopic data (NMR, MS, UV, and IR) and comparisons between the calculated and experimental electronic circular dichroism (ECD) spectra. Butyrolactone I (compound 11) exhibited strong inhibitory effects against Mycobacterium tuberculosis protein tyrosine phosphatase B (MptpB) with the IC being 5.11 ± 0.53 μmol·L, and acted as a noncompetitive inhibitor based on kinetic analysis.
4-Butyrolactone ; analogs & derivatives ; chemistry ; isolation & purification ; pharmacology ; Animals ; Aspergillus ; chemistry ; Chemistry Techniques, Analytical ; Dipeptides ; chemistry ; isolation & purification ; pharmacology ; Enzyme Inhibitors ; chemistry ; isolation & purification ; pharmacology ; Indoles ; chemistry ; isolation & purification ; pharmacology ; Molecular Structure ; Mycobacterium tuberculosis ; drug effects ; Peptides ; chemistry ; isolation & purification ; pharmacology ; Polyketides ; chemistry ; isolation & purification ; pharmacology ; Porifera ; microbiology ; Protein Tyrosine Phosphatases ; chemistry

A retrospective analysis was performed in two major HIV/AIDS referral hospitals in Beijing to evaluate the prevalence of Mycobacterium tuberculosis (MTB) and non-tuberculous mycobacterial (NTM) infections in HIV-infected patients. A total of 627 patients' data were reviewed, and 102 (16.3%) patients were diagnosed with culture-confirmed mycobacterial infection, including 84 with MTB, 16 with NTM, and 2 with both MTB and NTM. The most frequent clinical complication by mycobacterial infection was pulmonary infection (48/102, 47.1%). The overall rates of multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) were 11.9% and 3.4%, respectively. This study underlines the urgent need to intensify screening for mycobacteria coinfection with HIV and to prevent the spread of drug-resistant TB among HIV-infected patients.
AIDS-Related Opportunistic Infections ; epidemiology ; microbiology ; Adult ; Beijing ; Coinfection ; Extensively Drug-Resistant Tuberculosis ; epidemiology ; microbiology ; Female ; HIV Infections ; epidemiology ; microbiology ; Hospitals, Urban ; Humans ; Male ; Mycobacterium Infections, Nontuberculous ; epidemiology ; microbiology ; Mycobacterium tuberculosis ; isolation & purification ; Nontuberculous Mycobacteria ; isolation & purification ; Prevalence ; Retrospective Studies ; Sputum ; microbiology ; Tuberculosis, Multidrug-Resistant ; epidemiology ; microbiology ; Tuberculosis, Pulmonary ; epidemiology ; microbiology

OBJECTIVEWe determined the genetic diversity of Mycobacterium tuberculosis (MTB) in a remote mountainous area of southwest China and evaluated the resolving ability of single nucleotide polymorphism (SNP) genotyping combined with variable number tandem repeat (VNTR) genotyping for Beijing family strains in association with drug resistance status.

METHODSThree hundred thirty-one MTB strains were isolated from patients living in mountainous regions of southwest China, and 8-loci SNP, VNTR-15 genotyping assays, and drug susceptibility testing of 9 drugs were performed.

RESULTSA total of 183 [55.29% (183/331)] strains were classified into the Beijing family. Of the 183 strains, 111 (60.66%) were defined as modern Beijing strains. The most predominant modern Beijing sub-lineage and ancient Beijing sub-lineage were Bmyc10 [39.34% (72/183)] and Bmyc25 [20.77% (38/183)], respectively. Of the isolates, 19.64% (65/331) were resistant to at least 1 of the 9 anti-TB drugs and 17 [4.98% (17/331)] MTB isolates were multi-drug resistant tuberculosis (MDR-TB). Two hundred sixty-one isolates showed a clustering rate of 14.18% (37/261) and a discriminatory index of 0.9990. The Beijing lineage exhibited a significantly higher prevalence of MDR-TB, as well as resistance to isoniazid (INH), rifampin (RIF), and para-aminosalicylic acid (PAS) when analyzed independently (P = 0.005, P = 0.017, P = 0.014, and P = 0.006 respectively). The Beijing lineage was not associated with genetic clustering or resistance to any drug. In addition, genetic clustering was not associated with drug resistance.

CONCLUSIONMTB strains demonstrate high genetic diversity in remote mountainous areas of southwest China. Beijing strains, especially modern Beijing strains, are predominant in remote mountainous area of China. The combination of 8-loci SNPs and VNTR-15 genotyping is a useful tool to study the molecular epidemiology of MTB strains in this area.

Antitubercular Agents ; pharmacology ; China ; epidemiology ; Cluster Analysis ; Drug Resistance, Bacterial ; Genotype ; Humans ; Mycobacterium tuberculosis ; drug effects ; genetics ; Phylogeny ; Polymorphism, Single Nucleotide ; Tuberculosis ; epidemiology ; microbiology

Anti-Bacterial Agents ; chemistry ; pharmacology ; Drug Resistance, Bacterial ; drug effects ; Humans ; Mycobacterium tuberculosis ; chemistry ; drug effects ; Tuberculosis, Multidrug-Resistant ; drug therapy ; microbiology

Objective: To analyze the spatial distribution of tuberculosis (TB) and identify the clustering areas in Qinghai province from 2014 to 2016, and provide evidence for the prevention and control of TB. Methods: The data of pulmonary TB cases confirmed by clinical and laboratory diagnosis in Qinghai during this period were collected from National Disease Reporting Information System. The visualization of annual reported incidence, three-dimensional trend analysis and local Getis-Ord G(i)(*) spatial autocorrelation analysis of TB were performed by using software ArcGIS 10.2.2, and global Moran's I spatial autocorrelation analysis were analyzed by using software OpenGeoDa 1.2.0 to describe and analyze the spatial distribution characteristics and high incidence areas of TB in Qinghai from 2014 to 2016. Results: A total of 20 609 pulmonary TB cases were reported in Qinghai during this period. The reported incidences were 101.16/100 000, 123.26/100 000 and 128.70/100 000 respectively, an increasing trend with year was observed (trend χ(2)=187.21, P<0.001). The three-dimensional trend analysis showed that the TB incidence increased from northern area to southern area, and up-arch trend from the east to the west. Global Moran's I spatial autocorrelation analysis showed that annual reported TB incidence in different areas had moderate spatial clustering (Moran's I values were 0.631 3, 0.605 4, and 0.587 3, P<0.001). And local G(i)(*) analysis showed that there were some areas with high TB incidences, such as 10 counties of Yushu and Guoluo prefectures (Gande, Banma and Dari counties, etc., located in the southwest of Qinghai), and some areas with low TB incidences, such as Huangzhong county, Chengdong district and Chengbei district of Xining city and Dachaidan county of Haixi prefecture, and the reported TB incidences in the remaining areas were moderate. Conclusion: The annual reported TB incidence increased year by year in Qinghai from 2014 to 2016. The distribution of TB cases showed obvious spatial clustering, and Yushu and Guoluo prefectures were the key areas in TB prevention and control. In addition, the spatial clustering analysis could provide the important evidence for the development of TB prevention and control measures in Qinghai.
China/epidemiology* ; Cluster Analysis ; Disease Notification/statistics & numerical data* ; Female ; Geographic Information Systems ; Humans ; Incidence ; Male ; Spatial Analysis ; Spatio-Temporal Analysis ; Tuberculosis/microbiology* ; Tuberculosis, Pulmonary/ethnology*