In the ATTACK Phase 3 trial examining the efficacy of sulbactam (SUL)/durlobactam (DUR) to treat primarily complex (ABC) infections, imipenem (IPM)/cilastatin was added as a common therapy to both the SUL/DUR and the comparator colistin arms. This raised the question of whether the use of IPM in the SUL/DUR arm of the study influenced the efficacy of SUL/DUR. To investigate this issue on a microbiological and molecular level, we performed static concentration time-kill studies and molecular modeling of binding of SUL to PBP1a and PBP3, IPM to PBP1a, PBP2, and PBP3, and DUR to OXA-23 and OXA-51. The time-kill studies performed using carbapenemase- and non-carbapenemase-producing isolates demonstrated synergy between SUL and IPM in the presence of DUR, supporting the notion that the efficacy of the SUL/DUR arm against spp. in the ATTACK trial was enhanced by the addition of IPM. We also hypothesize that the protection of SUL and IPM from OXA carbapenemases by DUR enabled IPM and SUL to synergistically deactivate multiple PBPs ("target redundancy"). Docking simulations supported the favorable binding of SUL to PBP1a and PBP3, resulting in the formation of acyl-enzyme complexes. Molecular docking analysis of OXA carbapenemase enzymes with DUR also revealed favorable interactions. Although clinical trials are warranted, these analyses provide mechanistic support for the addition of IPM to SUL/DUR.
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http://dx.doi.org/10.1128/aac.01627-24 | DOI Listing |
ACS Mater Lett
March 2025
Department of Chemical Engineering, Imperial College London, SW7 2AZ London, U.K.
Growing environmental concerns have driven the search for sustainable wastewater treatment solutions, particularly for the removal of persistent synthetic dyes. This study explores hydrogels made from squid pen protein (SPP) and chitosan, biodegradable polymers, for anionic dye adsorption-reactive blue 4 (RB4) and methyl orange (MO). A 50%/50% SPP/chitosan hydrogel was optimal for RB4 adsorption while minimizing chitosan use.
View Article and Find Full Text PDFEnviron Entomol
March 2025
Department of Entomology, University of Georgia, Griffin, GA, USA.
Exotic granulate ambrosia beetle, Xylosandrus crassiusculus (Motschulsky), black stem borer, Xylosandrus germanus (Blandford), and black twig borer, Xylosandrus compactus (Eichhoff) are serious pests of woody ornamental trees in nurseries. Woodlots often surround ornamental nurseries, where the ambrosia beetles fly into nurseries and attack young trees. The woodlots are either dominated by hardwood trees, such as Oaks (Oak spp.
View Article and Find Full Text PDFAntimicrob Agents Chemother
March 2025
Research Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, Ohio, USA.
In the ATTACK Phase 3 trial examining the efficacy of sulbactam (SUL)/durlobactam (DUR) to treat primarily complex (ABC) infections, imipenem (IPM)/cilastatin was added as a common therapy to both the SUL/DUR and the comparator colistin arms. This raised the question of whether the use of IPM in the SUL/DUR arm of the study influenced the efficacy of SUL/DUR. To investigate this issue on a microbiological and molecular level, we performed static concentration time-kill studies and molecular modeling of binding of SUL to PBP1a and PBP3, IPM to PBP1a, PBP2, and PBP3, and DUR to OXA-23 and OXA-51.
View Article and Find Full Text PDFObjectives: This study aimed to determine the prevalence of health care-associated infections (HAIs) at Fann Hospital, describe the profile of patients with HAI, and identify the causative pathogens.
Methods: This was a cross-sectional survey of the records of patients hospitalized in eight departments of the Fann University Hospital for a microbiologically confirmed HAI from January 1, 2024 to March 31, 2024. Data were collected using an HAI surveillance form and analyzed using R software version 4.
Sci Rep
February 2025
School of Information Science and Technology, Hainan Normal University, Haikou, 571158, Hainan, China.
With the rapid development of the internet, phishing attacks have become more diverse, making phishing website detection a key focus in cybersecurity. While machine learning and deep learning have led to various phishing URL detection methods, many remain incomplete, limiting accuracy. This paper proposes CSPPC-BiLSTM, a malicious URL detection model based on BiLSTM (Bidirectional Long Short-Term Memory, BiLSTM).
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