Kone Bourahima, Somboro Anou M, Kone Mahamadou, Holl Jane L, Baya Bocar, Dabitao Djeneba, Diallo Dramane, Diarra Bassirou, Kone Amadou, Sarro Yeya Dit Sadio, Sanogo Moumine, Togo Antieme Cg, Murphy Robert L, Diallo Souleymane, Coulibaly Nadie, Camara Fatoumata, Samake Seydou, Diakite Mahamadou, Doumbia Seydou, Maiga Mamoudou
University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali; School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Int J Infect Dis. 2022 Apr;117:204-211. doi: 10.1016/j.ijid.2022.01.061. Epub 2022 Feb 5.
Tuberculosis (TB) remains an important global health issue worldwide. Despite this scourge threatening many human lives, especially in developing countries, thus far, no advanced molecular epidemiology study using recent and more accurate tools has been conducted in Mali. Therefore, this study aimed to use variable-number tandem repeats of mycobacterial interspersed repetitive units (MIRU-VNTR) technology coupled with the spoligotyping method to accurately determine the hot spots and establish the epidemiological transmission links of TB in Bamako, Mali.
In a cross-sectional study, 245 isolates of Mycobacterium tuberculosis complex (MTBC) were characterized using spoligotyping and MIRU-VNTR, and an epidemiological investigation was conducted.
Of the 245 isolates, 184 (75.1%) were formally identified. The most widespread strain was the Cameroon strain (83; 45.1%). Eight major clusters were identified: Ghana (27; 14.7%), West African 2 (22; 12%), Haarlem (13; 7.1%), H37Rv (t) (8; 4.3%), Latin American Mediterranean (8; 4.3%), and Uganda I and II (6; 3.3%). Statistical analysis showed a significant difference between lineages from the respective referral health centers of Bamako, Mali (P = 0.01).
This study establishes, for the first time, an accurate spatial distribution of circulating MTB strains in Bamako, Mali. The data was used to identify strains and "hot spots" causing TB infection and can also be used for more targeted public health responses, particularly for hot spots of drug-resistant strains.
结核病在全球范围内仍然是一个重要的公共卫生问题。尽管这一灾祸威胁着许多人的生命,尤其是在发展中国家,但迄今为止,马里尚未开展使用最新且更准确工具的先进分子流行病学研究。因此,本研究旨在运用分枝杆菌散布重复单位可变数目串联重复序列(MIRU-VNTR)技术结合间隔寡核苷酸分型方法,准确确定热点区域,并建立马里巴马科结核病的流行病学传播联系。
在一项横断面研究中,使用间隔寡核苷酸分型和MIRU-VNTR对245株结核分枝杆菌复合群(MTBC)菌株进行特征分析,并开展了流行病学调查。
在245株菌株中,184株(75.1%)得到正式鉴定。分布最广的菌株是喀麦隆菌株(83株;45.1%)。确定了八个主要聚类:加纳(27株;14.7%)、西非2型(22株;12%)、哈勒姆型(13株;7.1%)、H37Rv(t)型(8株;4.3%)、拉丁美洲地中海型(8株;4.3%)以及乌干达I型和II型(6株;3.3%)。统计分析显示,马里巴马科各转诊医疗中心的菌株谱系之间存在显著差异(P = 0.01)。
本研究首次确定了马里巴马科流行的MTB菌株的准确空间分布。这些数据用于识别导致结核病感染的菌株和“热点区域”,也可用于更具针对性的公共卫生应对措施,特别是针对耐药菌株的热点区域。