Warren R M, van der Spuy G D, Richardson M, Beyers N, Borgdorff M W, Behr M A, van Helden P D
MRC Centre for Molecular and Cellular Biology, Department of Medical Biochemistry, Faculty of Health Sciences, University of Stellenbosch, Tygerberg 7505, South Africa.
J Clin Microbiol. 2002 May;40(5):1705-8. doi: 10.1128/JCM.40.5.1705-1708.2002.
The interpretation of molecular epidemiologic data of Mycobacterium tuberculosis infection is dependent on the understanding of the stability and evolutionary characteristics of the DNA fingerprinting marker used to classify clinical isolates. This study investigated the stability of the IS6110 banding pattern in serial tuberculosis isolates collected from patients resident in an area with a high incidence of tuberculosis. Evolutionary changes were observed in 4% of the strains, and a half-life (t(1/2)) of 8.74 years was calculated, assuming a constant rate of change over time. This rate may be composed of a high rate of change seen during the early disease phase (t(1/2) = 0.57 years) and a low rate of change seen in the late disease phase (t(1/2) = 10.69 years). The early rate probably reflects change occurring during active growth prior to therapy, while the low late rate may reflect change occurring during or after treatment. We demonstrate that the calculation of these rates is strongly influenced by the time interval between onset of disease and sputum sampling. These calculations are further complicated by partial replacement of the original strain population, resulting in the sporadic appearance of clonal variants in sputum specimens. Therefore, the true extent of genetic diversity may be underestimated within each host, thereby influencing molecular epidemiological data used to establish transmission chains.
结核分枝杆菌感染分子流行病学数据的解读取决于对用于分类临床分离株的DNA指纹识别标记的稳定性和进化特征的理解。本研究调查了从结核病高发地区居民中收集的系列结核分离株中IS6110条带模式的稳定性。在4%的菌株中观察到进化变化,假设随时间变化率恒定,计算出半衰期(t(1/2))为8.74年。该变化率可能由疾病早期阶段观察到的高变化率(t(1/2)=0.57年)和疾病晚期阶段观察到的低变化率(t(1/2)=10.69年)组成。早期变化率可能反映治疗前活跃生长期间发生的变化,而晚期低变化率可能反映治疗期间或治疗后发生的变化。我们证明,这些变化率的计算受到疾病发作与痰液采样之间时间间隔的强烈影响。由于原始菌株群体的部分替代,导致痰液标本中克隆变体的零星出现,这些计算进一步复杂化。因此,每个宿主内遗传多样性的真实程度可能被低估,从而影响用于建立传播链的分子流行病学数据。