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Introductory Chapter: Plan to Prevent and Combat against the Drug-Resistant Tuberculosis/Zoonotic Tuberculosis

Written By

Yogendra Shah

Submitted: 09 July 2021 Published: 15 September 2021

DOI: 10.5772/intechopen.99548

From the Edited Volume

Molecular Epidemiology Study of Mycobacterium Tuberculosis Complex

Edited by Yogendra Shah

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1. Molecular Epidemiology of MTB drug resistant

Tuberculosis (TB) is a primary cause of death from a single infectious agent by Mycobacterium tuberculosis complex (MTBC) remains a major global public health problem which infects one thirds of world’s population. Despite being largely TB is a curable and preventable disease, WHO estimates that 10 million new cases and 1.2 million deaths occurred in 2019 [1]. Majority of deaths were in developing countries with more than half occurring in Asia and Africa. TB is spread when people who are sick with TB expel bacteria into the air; for example, by coughing. TB usually affects the lungs (pulmonary TB), although other organs are involved in 15–30% of other sites (extra pulmonary TB) [2]. Mycobacterium tuberculosis (MTC or MTBC) is a genetically related group of Mycobacterium species that can cause tuberculosis in human or other animals i.e. M. tuberculosis, M. africanum, M. orygis, M. bovis, M. microti, M. canetti, M. caprae, M. pinnipedii, M. suricattae, M. mungi [3].

The emergence of drug resistant including multi-drug resistant (MDR-TB: It means that the TB bacteria that a person is infected with are resistant to two of the most important TB drugs, isoniazid (INH) and rifampicin (RMP) [4] and Extensively drug-resistant TB (XDR-TB) is a rare type of multidrug-resistant tuberculosis (MDR TB) that is resistant to isoniazid and rifampin, plus any fluoroquinolone and at least one of three injectable second-line drugs (i.e., amikacin, kanamycin, or capreomycin) [5] are also poses a serious public health threat to the success of TB treatment and control programs across worldwide. Globally in 2019, close to half a million people developed rifampicin-resistant TB (RR-TB), of which 78% had multidrug-resistant TB (MDR-TB). Molecular genotyping of MTB has been well developed over the years. WHO has developed the End TB strategy, which was endorsed by the sixty-seventh world health assembly in 2014. According to WHO, strategy ambitiously proposes to “end the global TB epidemic” by 2035. The strategy targets a 90% reduction in patients suffering from TB, and a 95% reduction in deaths from TB by 2035-all while protecting families from catastrophic costs that push them further into poverty [6].

The main genotyping typing methods mainly IS6110 restriction fragment length polymorphism (RFLP), spoligotyping and mycobacterial interspersed repeat unit variable-number tandem repeat (MIRU-VNTR) analysis, are commonly used for fingerprinting MTB strains to detect recent transmission [7]. However, the discriminatory power of these genotyping methods is not sufficient in countries such as South East Asia, South Africa and Russia including Nepal where MTB of Beijing family has been reported in high prevalence [8]. These factors might be the driving force for the spreading and emergence of MDR-TB as well as extensively drug resistant TB (XDR-TB) involved in clonal expansion of strains [9]. Even though, molecular genotyping techniques have been developed, they provide less discriminatory power to differentiate the genetic diversity, transmission dynamics and outbreak of MTB strains. Even in clustered isolates these methods could not distinguish the recent from past transmissions [10]. Furthermore, genomic heterogeneity among the drug susceptible or drug resistant strains could also not be accurately detected using conventional genotyping methods [11]. Whole-genome sequencing (WGS) based on next-generation sequencing (NGS) has been emerging as a very powerful tools for detection of genetic diversity, outbreak analysis, surveillance and determination of drug resistance [12]. Recently, WGS is considered as a gold standard method because of its high resolution allowing for in-depth characterization about the dynamics of evolution, transmission and exogenous infection [13].

The main importance of this book chapter was to provide overview and also understand about the molecular epidemiology pattern, transmission dynamics, host response, mechanisms associated with increasing trends of drug resistant TB including MDR-TB, evolution, molecular biology, pathogenesis mechanism and development of anti-mycobacterial drugs about the Mycobacterium tuberculosis complex. The purpose of book chapter will be help to provide the updating research information to the policy maker or planner for further diagnosis and treatment with genotyping tools, control and prevention for MTB disease. This book chapter main theme are to explore the vigorous approaches in novel designing of anti-tubercular drugs, diagnosis and treatment of latent tuberculosis infection to measure their quality of life, laboratory diagnosis by identification of novel SNPs, tracing of outbreak isolates, study of various chemically and structurally diverse currently clinically used and recently developed for anti-mycobacterial drugs, molecular characterization of Mycobacterium spp. isolated from cattle and wildlife in Poland, challenges in drug discovery against tuberculosis and genealogy of resistant TB in Latin American territories.

References

  1. 1. World Health Organization. Global tuberculosis report 2020. https://apps.who.int/iris/bitstream/handle/10665/336069/978924001313.
  2. 2. Transmission and oathogeneis of tuberculosis https://www.cdc.gov/tb/education/corecurr/pdf/chapter2.pdf
  3. 3. Jane ES, Gunn-Moore DA. Mycobacterial Infections. Canine and feline Infectious Diseases. 2014.
  4. 4. Tuberculosis: Multidrug-resistant tuberculosis (MDR-TB) https://www.who.int/news-room/q-a-detail/tuberculosis-multidrug-resistant-tuberculosis-(mdr-tb)
  5. 5. Tuberculosis https://www.cdc.gov/tb/publications/factsheets/drtb/xdrtb.htm
  6. 6. https://www.who.int/westernpacific/activities/implementing-the-end-tb-strategy
  7. 7. Barnes PF, Cave MD. Molecular epidemiology of tuberculosis. The New England Journal of medicine 2003; 349(12):1149-1156.
  8. 8. Allix-Beguec C, Wahl C, Hanekom M, Nikolayevskyy et al. proposal of a consensus set of hypervariable mycobacterial interspersed repetitive-unit-variable-number tandem repeat loci for subtyping of Mycobacterium tuberculosis Beijing isolates. Journal of clinical microbiology 2014; 52(1):164-172.
  9. 9. Iwamoto T, Grandjean L, Arikawa K, Nakanishi N, Caviedes L, Coronel J, et al. Genetic diversity and transmission characteristics of Beijing family strains of Mycobacterium tuberculosis in Peru. PLoS One 2012;7.
  10. 10. Walker TM, Ip CL, Harrell RH, Evans JT, Kapatai G, Dedicoat MJ, et al. 2013. Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: A retrospective observational study. The Lancet Infectious diseases 13(2):137-146.
  11. 11. Niemann S, Koser CU, Gagneux S, Plinke C, Homolka S, Bignell H, et al. 2009. Genomic diversity among drug sensitive and multidrug resistant isolates of Mycobacterium tuberculosis with identical DNA fingerprints. PloS one 4(10):e7407.
  12. 12. Hasnain SE, O’Toole RF, Grover S, Ehtesham NZ 2015.Whole genome sequencing: A new paradigm in the surveillance and control of human tuberculosis. Tuberculosis (Edinb) 95(2):91-94.
  13. 13. Kato-Maeda M, Metcalfe JZ, Flores L 2011. Genotyping of Mycobacterium tuberculosis: Application in epidemiologic studies. Future Microbiol 6(2):203-216

Written By

Yogendra Shah

Submitted: 09 July 2021 Published: 15 September 2021