Whole genome sequencing-based drug resistance predictions of multidrug-resistant Mycobacterium tuberculosis isolates from Tanzania. Issue 2 (21st April 2022)

• Record Type: Journal Article
• Authors: Mbelele, Peter M.; Utpatel, Christian; Sauli, Elingarami; Mpolya, Emmanuel A.; Mutayoba, Beatrice K.; Barilar, Ivan; Dreyer, Viola; Merker, Matthias; Sariko, Margaretha L.; Swema, Buliga M.; Mmbaga, Blandina T.; Gratz, Jean; Addo, Kennedy K.; Pletschette, Michel; Niemann, Stefan; Houpt, Eric R.; Mpagama, Stellah G.; Heysell, Scott K.
• Is Part Of: JAC-antimicrobial resistance. Volume 4:Issue 2(2022)
• Publication Date: 2022-04-21
• Subjects: Anti-infective agents -- Periodicals; Chemotherapy -- Periodicals; Drug resistance in microorganisms -- Periodicals; 616.9041
• DOI: 10.1093/jacamr/dlac042
• Languages: English
• ISSNs: 2632-1823

Abstract

Abstract: Background: Rifampicin- or multidrug-resistant (RR/MDR) Mycobacterium tuberculosis complex (MTBC) strains account for considerable morbidity and mortality globally. WGS-based prediction of drug resistance may guide clinical decisions, especially for the design of RR/MDR-TB therapies. Methods: We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay. An isolate was phenotypically categorized as resistant if it had an MIC above the epidemiological-cut-off (ECOFF) value, or as susceptible if it had an MIC below or equal to the ECOFF. Results: Overall, genotypically non-wild-type MTBC isolates with high-level resistance mutations (gNWT-R) correlated with isolates with MIC values above the ECOFF. For instance, the median MIC value (mg/L) for rifampicin-gNWT-R strains was >4.0 (IQR 4.0–4.0) compared with 0.5 (IQR 0.38–0.50) in genotypically wild-type (gWT-S, P < 0.001); isoniazid-gNWT-R >4.0 (IQR 2.0–4.0) compared with 0.25 (IQR 0.12–1.00) among gWT-S ( P = 0.001); ethionamide-gNWT-R 15.0 (IQR 10.0–20.0) compared with 2.50 (IQR; 2.50–5.00) among gWT-S ( P < 0.001). WGS correctly predicted resistance in 95% (36/38) and 100% (38/38) of the rifampicin-resistant isolates with ECOFFs >0.5 and >0.125 mg/L, respectively. No known resistance-conferring mutations were present in genes associated with resistance to fluoroquinolones, aminoglycosides, capreomycin, bedaquiline, delamanid, linezolid, clofazimine, cycloserine, or p-amino salicylic acid. Conclusions: WGS-based drug resistance prediction worked well to rule-in phenotypic drug resistance and the absence of second-line drug resistance-mediating mutations has the potential to guide the design of RR/MDR-TB regimens in the future.