TY - JOUR
T1 - Translating eco-evolutionary biology into therapy to tackle antibiotic resistance
AU - Sanz-García, Fernando
AU - Gil-Gil, Teresa
AU - Laborda, Pablo
AU - Blanco, Paula
AU - Ochoa-Sánchez, Luz Edith
AU - Baquero, Fernando
AU - Martínez, José Luis
AU - Hernando-Amado, Sara
N1 - Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023
Y1 - 2023
N2 - Antibiotic resistance is currently one of the most important public health problems. The golden age of antibiotic discovery ended decades ago, and new approaches are urgently needed. Therefore, preserving the efficacy of the antibiotics currently in use and developing compounds and strategies that specifically target antibiotic-resistant pathogens is critical. The identification of robust trends of antibiotic resistance evolution and of its associated trade-offs, such as collateral sensitivity or fitness costs, is invaluable for the design of rational evolution-based, ecology-based treatment approaches. In this Review, we discuss these evolutionary trade-offs and how such knowledge can aid in informing combination or alternating antibiotic therapies against bacterial infections. In addition, we discuss how targeting bacterial metabolism can enhance drug activity and impair antibiotic resistance evolution. Finally, we explore how an improved understanding of the original physiological function of antibiotic resistance determinants, which have evolved to reach clinical resistance after a process of historical contingency, may help to tackle antibiotic resistance.
AB - Antibiotic resistance is currently one of the most important public health problems. The golden age of antibiotic discovery ended decades ago, and new approaches are urgently needed. Therefore, preserving the efficacy of the antibiotics currently in use and developing compounds and strategies that specifically target antibiotic-resistant pathogens is critical. The identification of robust trends of antibiotic resistance evolution and of its associated trade-offs, such as collateral sensitivity or fitness costs, is invaluable for the design of rational evolution-based, ecology-based treatment approaches. In this Review, we discuss these evolutionary trade-offs and how such knowledge can aid in informing combination or alternating antibiotic therapies against bacterial infections. In addition, we discuss how targeting bacterial metabolism can enhance drug activity and impair antibiotic resistance evolution. Finally, we explore how an improved understanding of the original physiological function of antibiotic resistance determinants, which have evolved to reach clinical resistance after a process of historical contingency, may help to tackle antibiotic resistance.
U2 - 10.1038/s41579-023-00902-5
DO - 10.1038/s41579-023-00902-5
M3 - Review
C2 - 37208461
AN - SCOPUS:85159720941
SN - 1740-1526
VL - 21
SP - 671
EP - 685
JO - Nature Reviews Microbiology
JF - Nature Reviews Microbiology
ER -