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Systems-level analysis of NalD mutation, a recurrent driver of rapid drug resistance in acute Pseudomonas aeruginosa infection.
Yan, Jinyuan; Estanbouli, Henri; Liao, Chen; Kim, Wook; Monk, Jonathan M; Rahman, Rayees; Kamboj, Mini; Palsson, Bernhard O; Qiu, Weigang; Xavier, Joao B.
Afiliação
  • Yan J; Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Estanbouli H; Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Liao C; Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Kim W; Department of Biological Sciences, Duquesne University, Pittsburgh, Pennsylvania, United States of America.
  • Monk JM; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
  • Rahman R; Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Kamboj M; Infection Control, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, New York, United States of America.
  • Palsson BO; Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America.
  • Qiu W; Department of Biological Sciences, Hunter College & Graduate Center, CUNY, New York, New York, United States of America.
  • Xavier JB; Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
PLoS Comput Biol ; 15(12): e1007562, 2019 12.
Article em En | MEDLINE | ID: mdl-31860667
ABSTRACT
Pseudomonas aeruginosa, a main cause of human infection, can gain resistance to the antibiotic aztreonam through a mutation in NalD, a transcriptional repressor of cellular efflux. Here we combine computational analysis of clinical isolates, transcriptomics, metabolic modeling and experimental validation to find a strong association between NalD mutations and resistance to aztreonam-as well as resistance to other antibiotics-across P. aeruginosa isolated from different patients. A detailed analysis of one patient's timeline shows how this mutation can emerge in vivo and drive rapid evolution of resistance while the patient received cancer treatment, a bone marrow transplantation, and antibiotics up to the point of causing the patient's death. Transcriptomics analysis confirmed the primary mechanism of NalD action-a loss-of-function mutation that caused constitutive overexpression of the MexAB-OprM efflux system-which lead to aztreonam resistance but, surprisingly, had no fitness cost in the absence of the antibiotic. We constrained a genome-scale metabolic model using the transcriptomics data to investigate changes beyond the primary mechanism of resistance, including adaptations in major metabolic pathways and membrane transport concurrent with aztreonam resistance, which may explain the lack of a fitness cost. We propose that metabolic adaptations may allow resistance mutations to endure in the absence of antibiotics and could be targeted by future therapies against antibiotic resistant pathogens.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas aeruginosa / Infecções por Pseudomonas / Farmacorresistência Bacteriana / Mutação com Perda de Função Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas aeruginosa / Infecções por Pseudomonas / Farmacorresistência Bacteriana / Mutação com Perda de Função Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos