Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis.
Journal
The Lancet. Microbe
ISSN: 2666-5247
Titre abrégé: Lancet Microbe
Pays: England
ID NLM: 101769019
Informations de publication
Date de publication:
05 2023
05 2023
Historique:
received:
15
08
2022
revised:
21
12
2022
accepted:
21
12
2022
medline:
8
5
2023
pubmed:
2
4
2023
entrez:
1
4
2023
Statut:
ppublish
Résumé
Bedaquiline is a core drug for the treatment of multidrug-resistant tuberculosis; however, the understanding of resistance mechanisms is poor, which is hampering rapid molecular diagnostics. Some bedaquiline-resistant mutants are also cross-resistant to clofazimine. To decipher bedaquiline and clofazimine resistance determinants, we combined experimental evolution, protein modelling, genome sequencing, and phenotypic data. For this in-vitro and in-silico data analysis, we used a novel in-vitro evolutionary model using subinhibitory drug concentrations to select bedaquiline-resistant and clofazimine-resistant mutants. We determined bedaquiline and clofazimine minimum inhibitory concentrations and did Illumina and PacBio sequencing to characterise selected mutants and establish a mutation catalogue. This catalogue also includes phenotypic and genotypic data of a global collection of more than 14 000 clinical Mycobacterium tuberculosis complex isolates, and publicly available data. We investigated variants implicated in bedaquiline resistance by protein modelling and dynamic simulations. We discerned 265 genomic variants implicated in bedaquiline resistance, with 250 (94%) variants affecting the transcriptional repressor (Rv0678) of the MmpS5-MmpL5 efflux system. We identified 40 new variants in vitro, and a new bedaquiline resistance mechanism caused by a large-scale genomic rearrangement. Additionally, we identified in vitro 15 (7%) of 208 mutations found in clinical bedaquiline-resistant isolates. From our in-vitro work, we detected 14 (16%) of 88 mutations so far identified as being associated with clofazimine resistance and also seen in clinically resistant strains, and catalogued 35 new mutations. Structural modelling of Rv0678 showed four major mechanisms of bedaquiline resistance: impaired DNA binding, reduction in protein stability, disruption of protein dimerisation, and alteration in affinity for its fatty acid ligand. Our findings advance the understanding of drug resistance mechanisms in M tuberculosis complex strains. We have established an extended mutation catalogue, comprising variants implicated in resistance and susceptibility to bedaquiline and clofazimine. Our data emphasise that genotypic testing can delineate clinical isolates with borderline phenotypes, which is essential for the design of effective treatments. Leibniz ScienceCampus Evolutionary Medicine of the Lung, Deutsche Forschungsgemeinschaft, Research Training Group 2501 TransEvo, Rhodes Trust, Stanford University Medical Scientist Training Program, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Bill & Melinda Gates Foundation, Wellcome Trust, and Marie Skłodowska-Curie Actions.
Sections du résumé
BACKGROUND
Bedaquiline is a core drug for the treatment of multidrug-resistant tuberculosis; however, the understanding of resistance mechanisms is poor, which is hampering rapid molecular diagnostics. Some bedaquiline-resistant mutants are also cross-resistant to clofazimine. To decipher bedaquiline and clofazimine resistance determinants, we combined experimental evolution, protein modelling, genome sequencing, and phenotypic data.
METHODS
For this in-vitro and in-silico data analysis, we used a novel in-vitro evolutionary model using subinhibitory drug concentrations to select bedaquiline-resistant and clofazimine-resistant mutants. We determined bedaquiline and clofazimine minimum inhibitory concentrations and did Illumina and PacBio sequencing to characterise selected mutants and establish a mutation catalogue. This catalogue also includes phenotypic and genotypic data of a global collection of more than 14 000 clinical Mycobacterium tuberculosis complex isolates, and publicly available data. We investigated variants implicated in bedaquiline resistance by protein modelling and dynamic simulations.
FINDINGS
We discerned 265 genomic variants implicated in bedaquiline resistance, with 250 (94%) variants affecting the transcriptional repressor (Rv0678) of the MmpS5-MmpL5 efflux system. We identified 40 new variants in vitro, and a new bedaquiline resistance mechanism caused by a large-scale genomic rearrangement. Additionally, we identified in vitro 15 (7%) of 208 mutations found in clinical bedaquiline-resistant isolates. From our in-vitro work, we detected 14 (16%) of 88 mutations so far identified as being associated with clofazimine resistance and also seen in clinically resistant strains, and catalogued 35 new mutations. Structural modelling of Rv0678 showed four major mechanisms of bedaquiline resistance: impaired DNA binding, reduction in protein stability, disruption of protein dimerisation, and alteration in affinity for its fatty acid ligand.
INTERPRETATION
Our findings advance the understanding of drug resistance mechanisms in M tuberculosis complex strains. We have established an extended mutation catalogue, comprising variants implicated in resistance and susceptibility to bedaquiline and clofazimine. Our data emphasise that genotypic testing can delineate clinical isolates with borderline phenotypes, which is essential for the design of effective treatments.
FUNDING
Leibniz ScienceCampus Evolutionary Medicine of the Lung, Deutsche Forschungsgemeinschaft, Research Training Group 2501 TransEvo, Rhodes Trust, Stanford University Medical Scientist Training Program, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Bill & Melinda Gates Foundation, Wellcome Trust, and Marie Skłodowska-Curie Actions.
Identifiants
pubmed: 37003285
pii: S2666-5247(23)00002-2
doi: 10.1016/S2666-5247(23)00002-2
pmc: PMC10156607
pii:
doi:
Substances chimiques
Clofazimine
D959AE5USF
bedaquiline
78846I289Y
Antitubercular Agents
0
Diarylquinolines
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e358-e368Subventions
Organisme : NIAID NIH HHS
ID : R01 AI146338
Pays : United States
Organisme : Wellcome Trust
ID : 200205/Z/15/Z
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Investigateurs
Ivan Barilar
(I)
Simone Battaglia
(S)
Emanuele Borroni
(E)
Angela Pires Brandao
(AP)
Alice Brankin
(A)
Andrea Maurizio Cabibbe
(AM)
Joshua Carter
(J)
Daniela Maria Cirillo
(DM)
Pauline Claxton
(P)
David A Clifton
(DA)
Ted Cohen
(T)
Jorge Coronel
(J)
Derrick W Crook
(DW)
Viola Dreyer
(V)
Sarah G Earle
(SG)
Vincent Escuyer
(V)
Lucilaine Ferrazoli
(L)
Philip W Fowler
(PW)
George Fu Gao
(G)
Jennifer Gardy
(J)
Saheer Gharbia
(S)
Kelen Teixeira Ghisi
(KT)
Arash Ghodousi
(A)
Ana Luíza Gibertoni Cruz
(AL)
Louis Grandjean
(L)
Clara Grazian
(C)
Ramona Groenheit
(R)
Jennifer L Guthrie
(JL)
Wencong He
(W)
Harald Hoffmann
(H)
Sarah J Hoosdally
(SJ)
Martin Hunt
(M)
Zamin Iqbal
(Z)
Nazir Ahmed Ismail
(NA)
Lisa Jarrett
(L)
Lavania Joseph
(L)
Ruwen Jou
(R)
Priti Kambli
(P)
Rukhsar Khot
(R)
Jeff Knaggs
(J)
Anastasia Koch
(A)
Donna Kohlerschmidt
(D)
Samaneh Kouchaki
(S)
Alexander S Lachapelle
(AS)
Ajit Lalvani
(A)
Simon Grandjean Lapierre
(S)
Ian F Laurenson
(IF)
Brice Letcher
(B)
Wan-Hsuan Lin
(WH)
Chunfa Liu
(C)
Dongxin Liu
(D)
Kerri M Malone
(KM)
Ayan Mandal
(A)
Mikael Mansjö
(M)
Daniela Matias
(D)
Graeme Meintjes
(G)
Flávia de Freitas Mendes
(F)
Matthias Merker
(M)
Marina Mihalic
(M)
James Millard
(J)
Paolo Miotto
(P)
Nerges Mistry
(N)
David Moore
(D)
Kimberlee A Musser
(KA)
Dumisani Ngcamu
(D)
Ngoc Nhung Hoang
(NN)
Stefan Niemann
(S)
Kayzad Soli Nilgiriwala
(KS)
Camus Nimmo
(C)
Nana Okozi
(N)
Rosangela Siqueira Oliveira
(RS)
Shaheed Vally Omar
(SV)
Nicholas Paton
(N)
Timothy Ea Peto
(TE)
Juliana Maira Watanabe Pinhata
(JM)
Sara Plesnik
(S)
Zully M Puyen
(ZM)
Marie Sylvianne Rabodoarivelo
(MS)
Niaina Rakotosamimanana
(N)
Paola Mv Rancoita
(PM)
Priti Rathod
(P)
Gillian Rodger
(G)
Camilla Rodrigues
(C)
Timothy C Rodwell
(TC)
Eaysha Roohi
(E)
David Santos-Lazaro
(D)
Sanchi Shah
(S)
Thomas Andreas Kohl
(TA)
Grace Smith
(G)
Walter Solano
(W)
Andrea Spitaleri
(A)
Philip Supply
(P)
Utkarsha Surve
(U)
Sabira Tahseen
(S)
Nguyen Thuy Thuong Thuong
(NTT)
Guy Thwaites
(G)
Katharina Todt
(K)
Alberto Trovato
(A)
Christian Utpatel
(C)
Annelies Van Rie
(A)
Srinivasan Vijay
(S)
Timothy M Walker
(TM)
Sarah A Walker
(SA)
Robin Warren
(R)
Jim Werngren
(J)
Maria Wijkander
(M)
Robert J Wilkinson
(RJ)
Daniel J Wilson
(DJ)
Penelope Wintringer
(P)
Xin Xiao Yu
(XX)
Yang Yang
(Y)
Yanlin Zhao
(Y)
Shen-Yuan Yao
(SY)
Baoli Zhu
(B)
Informations de copyright
Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests AS is the cofounder and owner of shares in BiKi Technology, which sells the BiKi Life Sciences software suite used in this study's analysis. PWF has received consulting fees from Global Pathogen Analysis Service. All other authors declare no competing interests.