TY - JOUR
T1 - Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali
T2 - What is new?
AU - Kone, Bourahima
AU - Somboro, Anou M.
AU - Kone, Mahamadou
AU - Holl, Jane L.
AU - Baya, Bocar
AU - Dabitao, Djeneba
AU - Diallo, Dramane
AU - Diarra, Bassirou
AU - Kone, Amadou
AU - Sarro, Yeya Dit Sadio
AU - Sanogo, Moumine
AU - Togo, Antieme CG
AU - Murphy, Robert L.
AU - Diallo, Souleymane
AU - Coulibaly, Nadie
AU - Camara, Fatoumata
AU - Samake, Seydou
AU - Diakite, Mahamadou
AU - Doumbia, Seydou
AU - Maiga, Mamoudou
N1 - Funding Information:
This work was supported by the National Institutes of Health (Grant D43TW010350; D43 TW010543 and R21AI148033).
Funding Information:
None of the authors has a conflict of interest. This work was supported by the National Institutes of Health (Grant D43TW010350; D43 TW010543 and R21AI148033). Conceived and designed the experiments: BK, MM, AMS, MK, SeD, and SD. Performed the experiments: BK, MK, BD, AK, DD, FC, MS, ACGT, and NC. Analyzed the data: BK, MM, BD, AMS, MK, YDS, SYD, SOD, MS, RM, MD, DD, ACGT, and AK. Contributed reagents MM, RM, MD, and SS. Wrote the article: BK, AMS, MM, JLH, SeD, and BB. Reviewed by all authors. The authors would like to acknowledge all UCRC staff, laboratory and clinical, who contributed to patient recruitment, sample processing, and data collection. We are immensely grateful to the volunteers who participated in the study. We would like also to thank the 6 health referral centers and the national TB and HIV programs for their collaboration in the recruitment of patients.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/4
Y1 - 2022/4
N2 - Background and Aims: 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. Methods: 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. Results: 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). Conclusion: 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.
AB - Background and Aims: 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. Methods: 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. Results: 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). Conclusion: 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.
KW - Genetic diversity
KW - MIRU-VNTR
KW - Mali
KW - Spoligotyping
KW - TB
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U2 - 10.1016/j.ijid.2022.01.061
DO - 10.1016/j.ijid.2022.01.061
M3 - Article
C2 - 35134562
AN - SCOPUS:85125194782
SN - 1201-9712
VL - 117
SP - 204
EP - 211
JO - International Journal of Infectious Diseases
JF - International Journal of Infectious Diseases
ER -
