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Beyer L, Schäfer AB, Undabarrena A, Mattsby-Baltzer I, Tietze D, Svensson E, Stubelius A, Wenzel M, Cámara B, Tietze AA. Mimicking Nonribosomal Peptides from the Marine Actinomycete Streptomyces sp. H-KF8 Leads to Antimicrobial Peptides. ACS Infect Dis 2024; 10:79-92. [PMID: 38113038 PMCID: PMC10788856 DOI: 10.1021/acsinfecdis.3c00206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 12/01/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023]
Abstract
Microorganisms within the marine environment have been shown to be very effective sources of naturally produced antimicrobial peptides (AMPs). Several nonribosomal peptides were identified based on genome mining predictions of Streptomyces sp. H-KF8, a marine Actinomycetota isolated from a remote Northern Chilean Patagonian fjord. Based on these predictions, a series of eight peptides, including cyclic peptides, were designed and chemically synthesized. Six of these peptides showed antimicrobial activity. Mode of action studies suggest that two of these peptides potentially act on the cell membrane via a novel mechanism allowing the passage of small ions, resulting in the dissipation of the membrane potential. This study shows that though structurally similar peptides, determined by NMR spectroscopy, the incorporation of small sequence mutations results in a dramatic influence on their bioactivity including mode of action. The qualified hit sequence can serve as a basis for more potent AMPs in future studies.
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Affiliation(s)
- Luisa
I. Beyer
- Department
of Chemistry and Molecular Biology, Wallenberg Centre for Molecular
and Translational Medicine, University of
Gothenburg, Medicinaregatan
7B, Gothenburg 413 90, Sweden
- Center
for Antibiotic Resistance Research in Gothenburg, University of Gothenburg, Box 100, Göteborg 405 30, Sweden
| | - Ann-Britt Schäfer
- Department
of Life Sciences, Chalmers University of
Technology, Kemigården 4, Göteborg 412 96, Sweden
- Center
for Antibiotic Resistance Research in Gothenburg, University of Gothenburg, Box 100, Göteborg 405 30, Sweden
| | - Agustina Undabarrena
- Departamento
de Química & Centro de Biotecnología Daniel Alkalay
Lowitt, Laboratorio de Microbiología Molecular y Biotecnología
Ambiental, Universidad Técnica Federico
Santa María, Valparaíso 2340000, Chile
| | - Inger Mattsby-Baltzer
- Department
of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska
Academy at University of Gothenburg, University
of Gothenburg, Box 440, Göteborg 405 30, Sweden
| | - Daniel Tietze
- Department
of Chemistry and Molecular Biology, Wallenberg Centre for Molecular
and Translational Medicine, University of
Gothenburg, Medicinaregatan
7B, Gothenburg 413 90, Sweden
- Center
for Antibiotic Resistance Research in Gothenburg, University of Gothenburg, Box 100, Göteborg 405 30, Sweden
| | - Elin Svensson
- Department
of Life Sciences, Chalmers University of
Technology, Kemigården 4, Göteborg 412 96, Sweden
| | - Alexandra Stubelius
- Department
of Life Sciences, Chalmers University of
Technology, Kemigården 4, Göteborg 412 96, Sweden
| | - Michaela Wenzel
- Department
of Life Sciences, Chalmers University of
Technology, Kemigården 4, Göteborg 412 96, Sweden
- Center
for Antibiotic Resistance Research in Gothenburg, University of Gothenburg, Box 100, Göteborg 405 30, Sweden
| | - Beatriz Cámara
- Departamento
de Química & Centro de Biotecnología Daniel Alkalay
Lowitt, Laboratorio de Microbiología Molecular y Biotecnología
Ambiental, Universidad Técnica Federico
Santa María, Valparaíso 2340000, Chile
| | - Alesia A. Tietze
- Department
of Chemistry and Molecular Biology, Wallenberg Centre for Molecular
and Translational Medicine, University of
Gothenburg, Medicinaregatan
7B, Gothenburg 413 90, Sweden
- Center
for Antibiotic Resistance Research in Gothenburg, University of Gothenburg, Box 100, Göteborg 405 30, Sweden
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2
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Troiano C, De Ninno A, Casciaro B, Riccitelli F, Park Y, Businaro L, Massoud R, Mangoni ML, Bisegna P, Stella L, Caselli F. Rapid Assessment of Susceptibility of Bacteria and Erythrocytes to Antimicrobial Peptides by Single-Cell Impedance Cytometry. ACS Sens 2023. [PMID: 37421371 PMCID: PMC10391704 DOI: 10.1021/acssensors.3c00256] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2023]
Abstract
Antimicrobial peptides (AMPs) represent a promising class of compounds to fight antibiotic-resistant infections. In most cases, they kill bacteria by making their membrane permeable and therefore exhibit low propensity to induce bacterial resistance. In addition, they are often selective, killing bacteria at concentrations lower than those at which they are toxic to the host. However, clinical applications of AMPs are hindered by a limited understanding of their interactions with bacteria and human cells. Standard susceptibility testing methods are based on the analysis of the growth of a bacterial population and therefore require several hours. Moreover, different assays are required to assess the toxicity to host cells. In this work, we propose the use of microfluidic impedance cytometry to explore the action of AMPs on both bacteria and host cells in a rapid manner and with single-cell resolution. Impedance measurements are particularly well-suited to detect the effects of AMPs on bacteria, due to the fact that the mechanism of action involves perturbation of the permeability of cell membranes. We show that the electrical signatures of Bacillus megaterium cells and human red blood cells (RBCs) reflect the action of a representative antimicrobial peptide, DNS-PMAP23. In particular, the impedance phase at high frequency (e.g., 11 or 20 MHz) is a reliable label-free metric for monitoring DNS-PMAP23 bactericidal activity and toxicity to RBCs. The impedance-based characterization is validated by comparison with standard antibacterial activity assays and absorbance-based hemolytic activity assays. Furthermore, we demonstrate the applicability of the technique to a mixed sample of B. megaterium cells and RBCs, which paves the way to study AMP selectivity for bacterial versus eukaryotic cells in the presence of both cell types.
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Affiliation(s)
- Cassandra Troiano
- Department of Chemical Science and Technologies, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Adele De Ninno
- Institute for Photonics and Nanotechnologies, Italian National Research Council, 00133 Rome, Italy
| | - Bruno Casciaro
- Laboratory affiliated to Pasteur Italia-Fondazione Cenci Bolognetti, Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy
| | - Francesco Riccitelli
- Department of Chemical Science and Technologies, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Yoonkyung Park
- Department of Biomedical Science, College of Natural science, Chosun University, Gwangju 61452, Republic of Korea
| | - Luca Businaro
- Institute for Photonics and Nanotechnologies, Italian National Research Council, 00133 Rome, Italy
| | - Renato Massoud
- Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Maria Luisa Mangoni
- Laboratory affiliated to Pasteur Italia-Fondazione Cenci Bolognetti, Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, 00185 Rome, Italy
| | - Paolo Bisegna
- Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Lorenzo Stella
- Department of Chemical Science and Technologies, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Federica Caselli
- Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, 00133 Rome, Italy
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3
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Stewart L, Hong Y, Holmes IR, Firth SJ, Ahmed Y, Quinn J, Santos Y, Cobb SL, Jakubovics NS, Djoko KY. Salivary Antimicrobial Peptide Histatin-5 Does Not Display Zn(II)-Dependent or -Independent Activity against Streptococci. ACS Infect Dis 2023; 9:631-642. [PMID: 36826226 PMCID: PMC10012264 DOI: 10.1021/acsinfecdis.2c00578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Indexed: 02/25/2023]
Abstract
Histatin-5 (Hst5) is a member of the histatin superfamily of cationic, His-rich, Zn(II)-binding peptides in human saliva. Hst5 displays antimicrobial activity against fungal and bacterial pathogens, often in a Zn(II)-dependent manner. In contrast, here we showed that under in vitro conditions that are characteristic of human saliva, Hst5 does not kill seven streptococcal species that normally colonize the human oral cavity and oropharynx. We further showed that Zn(II) does not influence this outcome. We then hypothesized that Hst5 exerts more subtle effects on streptococci by modulating Zn(II) availability. We initially proposed that Hst5 contributes to nutritional immunity by limiting nutrient Zn(II) availability and promoting bacterial Zn(II) starvation. By examining the interactions between Hst5 and Streptococcus pyogenes as a model Streptococcus species, we showed that Hst5 does not influence the expression of Zn(II) uptake genes. In addition, Hst5 did not suppress growth of a ΔadcAI mutant strain that is impaired in Zn(II) uptake. These observations establish that Hst5 does not promote Zn(II) starvation. Biochemical examination of purified peptides further confirmed that Hst5 binds Zn(II) with high micromolar affinities and does not compete with the AdcAI high-affinity Zn(II) uptake protein for binding nutrient Zn(II). Instead, we showed that Hst5 weakly limits the availability of excess Zn(II) and suppresses Zn(II) toxicity to a ΔczcD mutant strain that is impaired in Zn(II) efflux. Altogether, our findings led us to reconsider the function of Hst5 as a salivary antimicrobial agent and the role of Zn(II) in Hst5 function.
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Affiliation(s)
- Louisa
J. Stewart
- Department
of Biosciences, Durham University, Durham DH1 3LE, United Kingdom
| | - YoungJin Hong
- Department
of Biosciences, Durham University, Durham DH1 3LE, United Kingdom
| | - Isabel R. Holmes
- Department
of Biosciences, Durham University, Durham DH1 3LE, United Kingdom
| | - Samantha J. Firth
- Department
of Biosciences, Durham University, Durham DH1 3LE, United Kingdom
| | - Yasmin Ahmed
- Biosciences
Institute, Newcastle University, Newcastle NE2 4HH, United Kingdom
| | - Janet Quinn
- Biosciences
Institute, Newcastle University, Newcastle NE2 4HH, United Kingdom
| | - Yazmin Santos
- Department
of Chemistry, Durham University, Durham DH1 3LE, United Kingdom
| | - Steven L. Cobb
- Department
of Chemistry, Durham University, Durham DH1 3LE, United Kingdom
| | | | - Karrera Y. Djoko
- Department
of Biosciences, Durham University, Durham DH1 3LE, United Kingdom
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4
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Iroha C, Ugwu M, Iroha I, Esimone C, Ejikeugwu C. Detection and Dissemination of MCR-1 Colistin Resistance Gene in a Hospital Setting in Abakaliki, Nigeria. JOURNAL OF MEDICAL SCIENCES 2023. [DOI: 10.3923/jms.2023.1.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
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5
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Al Nahas K, Fletcher M, Hammond K, Nehls C, Cama J, Ryadnov MG, Keyser UF. Measuring Thousands of Single-Vesicle Leakage Events Reveals the Mode of Action of Antimicrobial Peptides. Anal Chem 2022; 94:9530-9539. [PMID: 35760038 PMCID: PMC9280716 DOI: 10.1021/acs.analchem.1c03564] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
![]()
Host defense or antimicrobial
peptides hold promise for providing
new pipelines of effective antimicrobial agents. Their activity quantified
against model phospholipid membranes is fundamental to a detailed
understanding of their structure–activity relationships. However,
classical characterization assays often lack the ability to achieve
this insight. Leveraging a highly parallelized microfluidic platform
for trapping and studying thousands of giant unilamellar vesicles,
we conducted quantitative long-term microscopy studies to monitor
the membrane-disruptive activity of archetypal antimicrobial peptides
with a high spatiotemporal resolution. We described the modes of action
of these peptides via measurements of the disruption of the vesicle
population under the conditions of continuous peptide dosing using
a range of concentrations and related the observed modes to the molecular
activity mechanisms of these peptides. The study offers an effective
approach for characterizing membrane-targeting antimicrobial agents
in a standardized manner and for assigning specific modes of action
to the corresponding antimicrobial mechanisms.
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Affiliation(s)
- Kareem Al Nahas
- Cavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, U.K
| | - Marcus Fletcher
- Cavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, U.K
| | - Katharine Hammond
- National Physical Laboratory, Hampton Road, Teddington TW11 0LW, U.K.,London Centre for Nanotechnology, University College London, London WC1H 0AH, U.K
| | - Christian Nehls
- Research Center Borstel, Leibniz Lung Center, Parkallee 10, Borstel 23845, Germany
| | - Jehangir Cama
- Cavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, U.K.,Living Systems Institute, University of Exeter, Stocker Road, Exeter EX4 4QD, U.K.,College of Engineering, Mathematics and Physical Sciences, University of Exeter, North Park Road, Exeter EX4 4QF, U.K
| | - Maxim G Ryadnov
- National Physical Laboratory, Hampton Road, Teddington TW11 0LW, U.K.,Department of Physics, King's College London, Strand Lane, London WC2R 2LS, U.K
| | - Ulrich F Keyser
- Cavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, U.K
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6
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Cama J, Al Nahas K, Fletcher M, Hammond K, Ryadnov MG, Keyser UF, Pagliara S. An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics. Sci Rep 2022; 12:4005. [PMID: 35256720 PMCID: PMC8901753 DOI: 10.1038/s41598-022-07973-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/28/2022] [Indexed: 12/15/2022] Open
Abstract
Antimicrobial resistance challenges the ability of modern medicine to contain infections. Given the dire need for new antimicrobials, polypeptide antibiotics hold particular promise. These agents hit multiple targets in bacteria starting with their most exposed regions-their membranes. However, suitable approaches to quantify the efficacy of polypeptide antibiotics at the membrane and cellular level have been lacking. Here, we employ two complementary microfluidic platforms to probe the structure-activity relationships of two experimental series of polypeptide antibiotics. We reveal strong correlations between each peptide's physicochemical activity at the membrane level and biological activity at the cellular level. We achieve this knowledge by assaying the membranolytic activities of the compounds on hundreds of individual giant lipid vesicles, and by quantifying phenotypic responses within clonal bacterial populations with single-cell resolution. Our strategy proved capable of detecting differential responses for peptides with single amino acid substitutions between them, and can accelerate the rational design and development of peptide antimicrobials.
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Affiliation(s)
- Jehangir Cama
- Living Systems Institute, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, North Park Road, Exeter, EX4 4QF, UK.
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK.
| | - Kareem Al Nahas
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK
| | - Marcus Fletcher
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK
| | - Katharine Hammond
- National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, UK
- London Centre for Nanotechnology, University College London, London, WC1H 0AH, UK
| | - Maxim G Ryadnov
- National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW, UK
- Department of Physics, King's College London, Strand Lane, London, WC2R 2LS, UK
| | - Ulrich F Keyser
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge, CB3 0HE, UK
| | - Stefano Pagliara
- Living Systems Institute, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
- College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK.
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7
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Cesaro A, Torres MDT, de la Fuente-Nunez C. Methods for the design and characterization of peptide antibiotics. Methods Enzymol 2022; 663:303-326. [PMID: 35168794 DOI: 10.1016/bs.mie.2021.11.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Multi-drug resistant infections cause the death of millions of people worldwide. Today, there is an urgent need to identify innovative and sustainable alternatives to conventional antibiotics and to develop outside the box strategies to counter drug resistance. Versatile molecules such as antimicrobial peptides (AMPs), which display multiple mechanisms of action, have been explored as templates constituting a new generation of antibiotics. Here, we review recent methodological advances for the design, structural and functional characterization of AMPs. The methodologies outlined here have been validated and well established and may be used as a guide for the discovery, design, development, and reprogramming of peptide antibiotics.
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Affiliation(s)
- Angela Cesaro
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States
| | - Marcelo Der Torossian Torres
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, United States.
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8
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Rádai Z, Kiss J, Nagy NA. Taxonomic bias in AMP prediction of invertebrate peptides. Sci Rep 2021; 11:17924. [PMID: 34504226 PMCID: PMC8429723 DOI: 10.1038/s41598-021-97415-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/03/2021] [Indexed: 11/16/2022] Open
Abstract
Invertebrate antimicrobial peptides (AMPs) are at the forefront in the search for agents of therapeutic utility against multi-resistant microbial pathogens, and in recent years substantial advances took place in the in silico prediction of antimicrobial function of amino acid sequences. A yet neglected aspect is taxonomic bias in the performance of these tools. Owing to differences in the prediction algorithms and used training data sets between tools, and phylogenetic differences in sequence diversity, physicochemical properties and evolved biological functions of AMPs between taxa, notable discrepancies may exist in performance between the currently available prediction tools. Here we tested if there is taxonomic bias in the prediction power in 10 tools with a total of 20 prediction algorithms in 19 invertebrate taxa, using a data set containing 1525 AMP and 3050 non-AMP sequences. We found that most of the tools exhibited considerable variation in performance between tested invertebrate groups. Based on the per-taxa performances and on the variation in performances across taxa we provide guidance in choosing the best-performing prediction tool for all assessed taxa, by listing the highest scoring tool for each of them.
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Affiliation(s)
- Zoltán Rádai
- Lendület Seed Ecology Research Group, Institute of Ecology and Botany, Centre for Ecological Research, Vácrátót, Hungary.
- Department of Metagenomics, University of Debrecen, Debrecen, Hungary.
| | - Johanna Kiss
- MTA-DE Behavioural Ecology Research Group, Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
| | - Nikoletta A Nagy
- Department of Metagenomics, University of Debrecen, Debrecen, Hungary
- MTA-DE Behavioural Ecology Research Group, Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
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