Mycobacterium susceptibility to ivermectin by inhibition of eccD3, an ESX-3 secretion system component.

Drug-resistant tuberculosis is a pressing global health issue that requires the development of new drugs or the identification of new therapeutic targets. The ESX-3 secretion system is essential for the Mycobacterium tuberculosis growth and plays a role in iron/zinc homeostasis and virulence. The aim of this study was to evaluate the quaternary interface of EccD3, a component of the ESX-3 secretion system, and to evaluate the association of an eccD3 mutant with drug resistance. The molecular structures of EccD3 protein and other ESX-3 secretion system proteins of the M. tuberculosis were predicted based in homology with the Mycolicibacterium smegmatis tertiary protein structures. According to the in silico results, selamectin, avermectin, ivermectin, and moxidectin were selected as prospective drugs. Selamectin and moxidectin had favorable ΔG values for the EccB3 and EccD3 dimer interfaces, whereas the ESX-3 Protomer 1 interface had the best ΔG + with avermectin, ivermectin, and moxidectin. Furthermore, ivermectin susceptibility increased when the eccD3 gene was inhibited using CRISPRi in M. smegmatis. Blockage of EccD3 increased the ivermectin action, but the modest changes observed may be explained by the compensatory mechanisms or other ivermectin targets in absence of this Esx3 component. Further in vitro and preclinical studies are required to validate our findings.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-04-17
DOI
https://doi.org/10.1371/journal.pcbi.1012936
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79

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article

Mycobacterium susceptibility to ivermectin by inhibition of eccD3, an ESX-3 secretion system component.

Beatriz Silva-Ramírez, Aldo Herrera-Rodulfo, Ana Laura Granados-Tristán, Brenda Leticia Escobedo-Guajardo et al.
2 citations
PLoS Computational Biology
Tuberculosis Research and Epidemiology
2.79
article

Mycobacterium susceptibility to ivermectin by inhibition of eccD3, an ESX-3 secretion system component.

Beatriz Silva-Ramírez, Aldo Herrera-Rodulfo, Ana Laura Granados-Tristán, Brenda Leticia Escobedo-Guajardo, Mauricio Carrillo‐Tripp, Katia Peñuelas-Urquides, Mario Bermúdez de León, Ana Leticia Arriaga-Guerrero, Roberto Mercado-Hernández, Laura Adiene González-Escalante, Carlos E. Hernández-Luna
article en
2 citations

Abstract

Drug-resistant tuberculosis is a pressing global health issue that requires the development of new drugs or the identification of new therapeutic targets. The ESX-3 secretion system is essential for the Mycobacterium tuberculosis growth and plays a role in iron/zinc homeostasis and virulence. The aim of this study was to evaluate the quaternary interface of EccD3, a component of the ESX-3 secretion system, and to evaluate the association of an eccD3 mutant with drug resistance. The molecular structures of EccD3 protein and other ESX-3 secretion system proteins of the M. tuberculosis were predicted based in homology with the Mycolicibacterium smegmatis tertiary protein structures. According to the in silico results, selamectin, avermectin, ivermectin, and moxidectin were selected as prospective drugs. Selamectin and moxidectin had favorable ΔG values for the EccB3 and EccD3 dimer interfaces, whereas the ESX-3 Protomer 1 interface had the best ΔG + with avermectin, ivermectin, and moxidectin. Furthermore, ivermectin susceptibility increased when the eccD3 gene was inhibited using CRISPRi in M. smegmatis. Blockage of EccD3 increased the ivermectin action, but the modest changes observed may be explained by the compensatory mechanisms or other ivermectin targets in absence of this Esx3 component. Further in vitro and preclinical studies are required to validate our findings.

PLoS Computational BiologyVol. 21(4)
Mexican Social Security Institute (MX), Universidad Autónoma de Nuevo León (MX), Centro de Investigación en Materiales Avanzados (MX), Instituto Politécnico Nacional (MX)
Consejo Nacional de Ciencia y Tecnología, Instituto Mexicano del Seguro Social
Good health and well-being
Openalex Percentile: Top 11%
Tuberculosis Research and Epidemiology
2.79
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