Department of Microbiology and Immunology, School of Medicine, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
Tanzania Wildlife Research Institute (TAWIRI), Arusha, Tanzania.
BMC Genomics. 2020 Feb 21;21(1):174. doi: 10.1186/s12864-020-6577-1.
Tuberculosis (TB), particularly multi- and or extensive drug resistant TB, is still a global medical emergency. Whole genome sequencing (WGS) is a current alternative to the WHO-approved probe-based methods for TB diagnosis and detection of drug resistance, genetic diversity and transmission dynamics of Mycobacterium tuberculosis complex (MTBC). This study compared WGS and clinical data in participants with TB.
This cohort study performed WGS on 87 from MTBC DNA isolates, 57 (66%) and 30 (34%) patients with drug resistant and susceptible TB, respectively. Drug resistance was determined by Xpert® MTB/RIF assay and phenotypic culture-based drug-susceptibility-testing (DST). WGS and bioinformatics data that predict phenotypic resistance to anti-TB drugs were compared with participant's clinical outcomes. They were 47 female participants (54%) and the median age was 35 years (IQR): 29-44). Twenty (23%) and 26 (30%) of participants had TB/HIV co-infection BMI < 18 kg/m respectively. MDR-TB participants had MTBC with multiple mutant genes, compared to those with mono or polyresistant TB, and the majority belonged to lineage 3 Central Asian Strain (CAS). Also, MDR-TB was associated with delayed culture-conversion (median: IQR (83: 60-180 vs. 51:30-66) days). WGS had high concordance with both culture-based DST and Xpert® MTB/RIF assay in detecting drug resistance (kappa = 1.00).
This study offers comparison of mutations detected by Xpert and WGS with phenotypic DST of M. tuberculosis isolates in Tanzania. The high concordance between the different methods and further insights provided by WGS such as PZA-DST, which is not routinely performed in most resource-limited-settings, provides an avenue for inclusion of WGS into diagnostic matrix of TB including drug-resistant TB.
结核病(TB),尤其是耐多药和/或广泛耐药结核病,仍然是全球医疗紧急情况。全基因组测序(WGS)是目前替代世界卫生组织(WHO)批准的探针方法来诊断结核病和检测结核分枝杆菌复合群(MTBC)的耐药性、遗传多样性和传播动力学的方法。本研究比较了 WGS 和结核病患者的临床数据。
这项队列研究对 87 株 MTBC 分离株的 DNA 进行了 WGS 分析,其中 57 例(66%)和 30 例(34%)患者分别患有耐药性和敏感性结核病。耐药性通过 Xpert® MTB/RIF 检测和表型培养药物敏感性试验(DST)确定。WGS 和预测抗结核药物表型耐药的生物信息学数据与参与者的临床结果进行了比较。参与者中有 47 名女性(54%),中位年龄为 35 岁(IQR:29-44)。20 名(23%)和 26 名(30%)患者分别患有结核病/艾滋病毒合并感染和 BMI<18kg/m2。与单耐药或多耐药结核病患者相比,耐多药结核病患者的 MTBC 具有多个突变基因,且大多数属于 3 型中亚谱系(CAS)。此外,耐多药结核病与培养转换延迟相关(中位数:IQR(83:60-180 与 51:30-66)天)。WGS 与基于培养的 DST 和 Xpert® MTB/RIF 检测在检测耐药性方面具有高度一致性(kappa=1.00)。
本研究比较了坦桑尼亚结核分枝杆菌分离株中 Xpert 和 WGS 检测到的突变与表型 DST 的结果。不同方法之间的高度一致性,以及 WGS 提供的进一步见解,例如在大多数资源有限的环境中通常不进行的 PZA-DST,为将 WGS 纳入包括耐药结核病在内的结核病诊断矩阵提供了途径。