Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?

Bourahima Kone; Anou M. Somboro; Mahamadou Kone; Jane L. Holl; Bocar Baya; Djeneba Dabitao; Dramane Diallo; Bassirou Diarra; Amadou Kone; Yeya Dit Sadio Sarro; Moumine Sanogo; Antieme CG Togo; Robert L. Murphy; Souleymane Diallo; Nadie Coulibaly; Fatoumata Camara; Seydou Samake; Mahamadou Diakite; Seydou Doumbia; Mamoudou Maiga

doi:10.1016/j.ijid.2022.01.061

Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?

Bourahima Kone^*, Anou M. Somboro, Mahamadou Kone, Jane L. Holl, Bocar Baya, Djeneba Dabitao, Dramane Diallo, Bassirou Diarra, Amadou Kone, Yeya Dit Sadio Sarro, Moumine Sanogo, Antieme CG Togo, Robert L. Murphy, Souleymane Diallo, Nadie Coulibaly, Fatoumata Camara, Seydou Samake, Mahamadou Diakite, Seydou Doumbia, Mamoudou Maiga

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	204-211
Number of pages	8
Journal	International Journal of Infectious Diseases
Volume	117
DOIs	https://doi.org/10.1016/j.ijid.2022.01.061
State	Published - Apr 2022

Funding

This work was supported by the National Institutes of Health (Grant D43TW010350; D43 TW010543 and R21AI148033). 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.

Keywords

Genetic diversity
MIRU-VNTR
Mali
Spoligotyping
TB

ASJC Scopus subject areas

Microbiology (medical)
Infectious Diseases

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijid.2022.01.061

Cite this

Kone, B., Somboro, A. M., Kone, M., Holl, J. L., Baya, B., Dabitao, D., Diallo, D., Diarra, B., Kone, A., Sarro, Y. D. S., Sanogo, M., Togo, A. CG., Murphy, R. L., Diallo, S., Coulibaly, N., Camara, F., Samake, S., Diakite, M., Doumbia, S., & Maiga, M. (2022). Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new? International Journal of Infectious Diseases, 117, 204-211. https://doi.org/10.1016/j.ijid.2022.01.061

@article{7ff95e3e3cda472896c09173b1c810d8,

title = "Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?",

abstract = "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.",

keywords = "Genetic diversity, MIRU-VNTR, Mali, Spoligotyping, TB",

author = "Bourahima Kone and Somboro, {Anou M.} and Mahamadou Kone and Holl, {Jane L.} and Bocar Baya and Djeneba Dabitao and Dramane Diallo and Bassirou Diarra and Amadou Kone and Sarro, {Yeya Dit Sadio} and Moumine Sanogo and Togo, {Antieme CG} and Murphy, {Robert L.} and Souleymane Diallo and Nadie Coulibaly and Fatoumata Camara and Seydou Samake and Mahamadou Diakite and Seydou Doumbia and Mamoudou Maiga",

note = "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: {\textcopyright} 2022 The Author(s)",

year = "2022",

month = apr,

doi = "10.1016/j.ijid.2022.01.061",

language = "English (US)",

volume = "117",

pages = "204--211",

journal = "International Journal of Infectious Diseases",

issn = "1201-9712",

publisher = "Elsevier B.V.",

}

Kone, B, Somboro, AM, Kone, M, Holl, JL, Baya, B, Dabitao, D, Diallo, D, Diarra, B, Kone, A, Sarro, YDS, Sanogo, M, Togo, ACG, Murphy, RL, Diallo, S, Coulibaly, N, Camara, F, Samake, S, Diakite, M, Doumbia, S & Maiga, M 2022, 'Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?', International Journal of Infectious Diseases, vol. 117, pp. 204-211. https://doi.org/10.1016/j.ijid.2022.01.061

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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DO - 10.1016/j.ijid.2022.01.061

M3 - Article

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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 -

Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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