Pre-detection history of extensively drug-resistant tuberculosis in KwaZulu-Natal, South Africa.
Tyler S BrownLavanya ChallagundlaEvan H BaughShaheed Vally OmarArkady MustaevSara C AuldN Sarita ShahBarry N KreiswirthJames C M BrustKristin N NelsonApurva NarechaniaNatalia KurepinaKoleka MlisanaRichard BonneauVegard EldholmNazir IsmailSergios-Orestis KolokotronisD Ashley RobinsonNeel R GandhiBarun MathemaPublished in: Proceedings of the National Academy of Sciences of the United States of America (2019)
Antimicrobial-resistant (AMR) infections pose a major threat to global public health. Similar to other AMR pathogens, both historical and ongoing drug-resistant tuberculosis (TB) epidemics are characterized by transmission of a limited number of predominant Mycobacterium tuberculosis (Mtb) strains. Understanding how these predominant strains achieve sustained transmission, particularly during the critical period before they are detected via clinical or public health surveillance, can inform strategies for prevention and containment. In this study, we employ whole-genome sequence (WGS) data from TB clinical isolates collected in KwaZulu-Natal, South Africa to examine the pre-detection history of a successful strain of extensively drug-resistant (XDR) TB known as LAM4/KZN, first identified in a widely reported cluster of cases in 2005. We identify marked expansion of this strain concurrent with the onset of the generalized HIV epidemic 12 y prior to 2005, localize its geographic origin to a location in northeastern KwaZulu-Natal ∼400 km away from the site of the 2005 outbreak, and use protein structural modeling to propose a mechanism for how strain-specific rpoB mutations offset fitness costs associated with rifampin resistance in LAM4/KZN. Our findings highlight the importance of HIV coinfection, high preexisting rates of drug-resistant TB, human migration, and pathoadaptive evolution in the emergence and dispersal of this critical public health threat. We propose that integrating whole-genome sequencing into routine public health surveillance can enable the early detection and local containment of AMR pathogens before they achieve widespread dispersal.
Keyphrases
- drug resistant
- south africa
- public health
- mycobacterium tuberculosis
- hiv positive
- multidrug resistant
- gram negative
- acinetobacter baumannii
- pulmonary tuberculosis
- escherichia coli
- global health
- antiretroviral therapy
- antimicrobial resistance
- human immunodeficiency virus
- hiv infected
- endothelial cells
- hiv aids
- hepatitis c virus
- hiv testing
- physical activity
- loop mediated isothermal amplification
- electronic health record
- body composition
- emergency department
- real time pcr
- clinical practice
- machine learning
- small molecule
- induced pluripotent stem cells
- artificial intelligence
- big data
- locally advanced
- protein protein
- rectal cancer