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Tse MW, Zhu M, Peters B, Hamami E, Chen J, Davis KP, Nitz S, Weller J, Warrier T, Hunt DK, Morales Y, Kawate T, Gaulin JL, Come JH, Hernandez-Bird J, Huo W, Neisewander I, Kiessling LL, Hung DT, Mecsas J, Aldridge BB, Isberg RR, Blainey PC. Massively parallel combination screen reveals small molecule sensitization of antibiotic-resistant Gram-negative ESKAPE pathogens. bioRxiv 2024:2024.03.26.586803. [PMID: 38585790 PMCID: PMC10996685 DOI: 10.1101/2024.03.26.586803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Antibiotic resistance, especially in multidrug-resistant ESKAPE pathogens, remains a worldwide problem. Combination antimicrobial therapies may be an important strategy to overcome resistance and broaden the spectrum of existing antibiotics. However, this strategy is limited by the ability to efficiently screen large combinatorial chemical spaces. Here, we deployed a high-throughput combinatorial screening platform, DropArray, to evaluate the interactions of over 30,000 compounds with up to 22 antibiotics and 6 strains of Gram-negative ESKAPE pathogens, totaling to over 1.3 million unique strain-antibiotic-compound combinations. In this dataset, compounds more frequently exhibited synergy with known antibiotics than single-agent activity. We identified a compound, P2-56, and developed a more potent analog, P2-56-3, which potentiated rifampin (RIF) activity against Acinetobacter baumannii and Klebsiella pneumoniae. Using phenotypic assays, we showed P2-56-3 disrupts the outer membrane of A. baumannii. To identify pathways involved in the mechanism of synergy between P2-56-3 and RIF, we performed genetic screens in A. baumannii. CRISPRi-induced partial depletion of lipooligosaccharide transport genes (lptA-D, lptFG) resulted in hypersensitivity to P2-56-3/RIF treatment, demonstrating the genetic dependency of P2-56-3 activity and RIF sensitization on lpt genes in A. baumannii. Consistent with outer membrane homeostasis being an important determinant of P2-56-3/RIF tolerance, knockout of maintenance of lipid asymmetry complex genes and overexpression of certain resistance-nodulation-division efflux pumps - a phenotype associated with multidrug-resistance - resulted in hypersensitivity to P2-56-3. These findings demonstrate the immense scale of phenotypic antibiotic combination screens using DropArray and the potential for such approaches to discover new small molecule synergies against multidrug-resistant ESKAPE strains.
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Affiliation(s)
- Megan W. Tse
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- These authors contributed equally
| | - Meilin Zhu
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- These authors contributed equally
| | - Benjamin Peters
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- These authors contributed equally
| | - Efrat Hamami
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
- These authors contributed equally
| | - Julie Chen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Microbiology Graduate Program, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Kathleen P. Davis
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Samuel Nitz
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Tri-Institutional Program in Computational Biology and Medicine, New York, New York, 10065
| | - Juliane Weller
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Wellcome Sanger Institute, Hinxton, Saffron Walden CB10 1RQ, United Kingdom
| | - Thulasi Warrier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, 02114
| | - Diana K. Hunt
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Yoelkys Morales
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Tomohiko Kawate
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, 02114
| | | | - Jon H. Come
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Tango Therapeutics, Boston, MA, USA 02215
| | - Juan Hernandez-Bird
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Wenwen Huo
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Isabelle Neisewander
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Laura L. Kiessling
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Deborah T. Hung
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Molecular Biology and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, 02114
- Department of Genetics, Harvard Medical School, Boston, MA 02115
| | - Joan Mecsas
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
| | - Bree B. Aldridge
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155
| | - Ralph R. Isberg
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance, Boston, Massachusetts, 02111
- These authors are co-corresponding and contributed equally
| | - Paul C. Blainey
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- These authors are co-corresponding and contributed equally
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Davis KP, Morales Y, Ende RJ, Peters R, McCabe AL, Mecsas J, Aldridge BB. Critical role of growth medium for detecting drug interactions in Gram-negative bacteria that model in vivo responses. mBio 2024; 15:e0015924. [PMID: 38364199 PMCID: PMC10936441 DOI: 10.1128/mbio.00159-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/18/2024] Open
Abstract
The rise in infections caused by multidrug-resistant (MDR) bacteria has necessitated a variety of clinical approaches, including the use of antibiotic combinations. Here, we tested the hypothesis that drug-drug interactions vary in different media, and determined which in vitro models best predict drug interactions in the lungs. We systematically studied pair-wise antibiotic interactions in three different media, CAMHB, (a rich lab medium standard for antibiotic susceptibility testing), a urine mimetic medium (UMM), and a minimal medium of M9 salts supplemented with glucose and iron (M9Glu) with three Gram-negative ESKAPE pathogens, Acinetobacter baumannii (Ab), Klebsiella pneumoniae (Kp), and Pseudomonas aeruginosa (Pa). There were pronounced differences in responses to antibiotic combinations between the three bacterial species grown in the same medium. However, within species, PaO1 responded to drug combinations similarly when grown in all three different media, whereas Ab17978 and other Ab clinical isolates responded similarly when grown in CAMHB and M9Glu medium. By contrast, drug interactions in Kp43816, and other Kp clinical isolates poorly correlated across different media. To assess whether any of these media were predictive of antibiotic interactions against Kp in the lungs of mice, we tested three antibiotic combination pairs. In vitro measurements in M9Glu, but not rich medium or UMM, predicted in vivo outcomes. This work demonstrates that antibiotic interactions are highly variable across three Gram-negative pathogens and highlights the importance of growth medium by showing a superior correlation between in vitro interactions in a minimal growth medium and in vivo outcomes. IMPORTANCE Drug-resistant bacterial infections are a growing concern and have only continued to increase during the SARS-CoV-2 pandemic. Though not routinely used for Gram-negative bacteria, drug combinations are sometimes used for serious infections and may become more widely used as the prevalence of extremely drug-resistant organisms increases. To date, reliable methods are not available for identifying beneficial drug combinations for a particular infection. Our study shows variability across strains in how drug interactions are impacted by growth conditions. It also demonstrates that testing drug combinations in tissue-relevant growth conditions for some strains better models what happens during infection and may better inform combination therapy selection.
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Affiliation(s)
- Kathleen P. Davis
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
| | - Yoelkys Morales
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
- Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Rachel J. Ende
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
| | - Ryan Peters
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
| | - Anne L. McCabe
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
- Department of Basic and Clinical Sciences, Albany College of Pharmacy and Health Sciences, Albany, New York, USA
| | - Joan Mecsas
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
- Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Bree B. Aldridge
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, & Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance Boston, Boston, Massachusetts, USA
- Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, Massachusetts, USA
- Department of Biomedical Engineering, Tufts University School of Engineering, Medford, Massachusetts, USA
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Johnson CW, Fetics SK, Davis KP, Rodrigues JA, Mattos C. Allosteric site variants affect GTP hydrolysis on Ras. Protein Sci 2023; 32:e4767. [PMID: 37615343 PMCID: PMC10510474 DOI: 10.1002/pro.4767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/03/2023] [Accepted: 08/21/2023] [Indexed: 08/25/2023]
Abstract
RAS GTPases are proto-oncoproteins that regulate cell growth, proliferation, and differentiation in response to extracellular signals. The signaling functions of RAS, and other small GTPases, are dependent on their ability to cycle between GDP-bound and GTP-bound states. Structural analyses suggest that GTP hydrolysis catalyzed by HRAS can be regulated by an allosteric site located between helices 3, 4, and loop 7. Here we explore the relationship between intrinsic GTP hydrolysis on HRAS and the position of helix 3 and loop 7 through manipulation of the allosteric site, showing that the two sites are functionally connected. We generated several hydrophobic mutations in the allosteric site of HRAS to promote shifts in helix 3 relative to helix 4. By combining crystallography and enzymology to study these mutants, we show that closure of the allosteric site correlates with increased hydrolysis of GTP on HRAS in solution. Interestingly, binding to the RAS binding domain of RAF kinase (RAF-RBD) inhibits GTP hydrolysis in the mutants. This behavior may be representative of a cluster of mutations found in human tumors, which potentially cooperate with RAF complex formation to stabilize the GTP-bound state of RAS.
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Affiliation(s)
- Christian W. Johnson
- Department of Chemistry and Chemical BiologyNortheastern UniversityBostonMassachusettsUSA
| | - Susan K. Fetics
- Department of Molecular and Structural BiochemistryNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Kathleen P. Davis
- Department of Molecular and Structural BiochemistryNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Jose A. Rodrigues
- Department of Chemistry and Chemical BiologyNortheastern UniversityBostonMassachusettsUSA
| | - Carla Mattos
- Department of Chemistry and Chemical BiologyNortheastern UniversityBostonMassachusettsUSA
- Department of Molecular and Structural BiochemistryNorth Carolina State UniversityRaleighNorth CarolinaUSA
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Avello M, Davis KP, Grossman AD. Identification, characterization and benefits of an exclusion system in an integrative and conjugative element of Bacillus subtilis. Mol Microbiol 2019; 112:1066-1082. [PMID: 31361051 DOI: 10.1111/mmi.14359] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2019] [Indexed: 01/09/2023]
Abstract
Integrative and conjugative elements (ICEs) are mobile genetic elements that transfer from cell to cell by conjugation (like plasmids) and integrate into the chromosomes of bacterial hosts (like lysogenic phages or transposons). ICEs are prevalent in bacterial chromosomes and play a major role in bacterial evolution by promoting horizontal gene transfer. Exclusion prevents the redundant transfer of conjugative elements into host cells that already contain a copy of the element. Exclusion has been characterized mostly for conjugative elements of Gram-negative bacteria. Here, we report the identification and characterization of an exclusion mechanism in ICEBs1 from the Gram-positive bacterium Bacillus subtilis. We found that cells containing ICEBs1 inhibit the activity of the ICEBs1-encoded conjugation machinery in other cells. This inhibition (exclusion) was specific to the cognate conjugation machinery and the ICEBs1 gene yddJ was both necessary and sufficient to mediate exclusion by recipient cells. Through a mutagenesis and enrichment screen, we identified exclusion-resistant mutations in the ICEBs1 gene conG. Using genes from a heterologous but related ICE, we found that the exclusion specificity was determined by ConG and YddJ. Finally, we found that under conditions that support conjugation, exclusion provides a selective advantage to the element and its host cells.
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Affiliation(s)
- Monika Avello
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kathleen P Davis
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Alan D Grossman
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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