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Marshall EKP, Nunes C, Burbaud S, Vincent CM, Munroe NO, Simoes da Silva CJ, Wadhawan A, Pearson WH, Sangen J, Boeck L, Floto RA, S Dionne M. Microbial metabolism disrupts cytokine activity to impact host immune response. Proc Natl Acad Sci U S A 2024; 121:e2405719121. [PMID: 39514319 PMCID: PMC11573640 DOI: 10.1073/pnas.2405719121] [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: 03/19/2024] [Accepted: 09/30/2024] [Indexed: 11/16/2024] Open
Abstract
Host-pathogen interactions are shaped by the metabolic status of both the host and pathogen. The host must regulate metabolism to fuel the immune response, while the pathogen must extract metabolic resources from the host to enable its own survival. In this study, we focus on the metabolic interactions of Mycobacterium abscessus with Drosophila melanogaster. We identify MAB_1132c as an asparagine transporter required for pathogenicity in M. abscessus. We show that this requirement is specifically associated with damage to the host: flies infected with MAB_1132c knockout bacteria, or with wild-type bacteria grown in asparagine-restricted conditions, are longer lived without showing a significant change in bacterial load. This is associated with a reduction in the host innate immune response, demonstrated by the decreased transcription of antimicrobial peptides as well as a significant reduction in the ability of the infection to disrupt systemic insulin signaling. Much of the increase in host survival during infection with asparagine-limited M. abscessus can be attributed to alterations in unpaired cytokine signaling. This demonstrates that asparagine transport in M. abscessus prior to infection is not required for replicative fitness in vivo but does significantly influence the interaction with the host immune responses.
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Affiliation(s)
- Eleanor K P Marshall
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Catarina Nunes
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Sophie Burbaud
- Department of Medicine, Molecular Immunity Unit, University of Cambridge, Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge CB3 0WA, United Kingdom
| | - Crystal M Vincent
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Natalie O Munroe
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Carolina J Simoes da Silva
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Ashima Wadhawan
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - William H Pearson
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
| | - Jasper Sangen
- Department of Medicine, Molecular Immunity Unit, University of Cambridge, Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge CB3 0WA, United Kingdom
| | - Lucas Boeck
- Department of Biomedicine, University of Basel, Basel 4031, Switzerland
| | - R Andres Floto
- Department of Medicine, Molecular Immunity Unit, University of Cambridge, Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
- Cambridge Centre for Artificial Intelligence in Medicine, Cambridge CB3 0WA, United Kingdom
- Cambridge Centre for Lung Infection, Royal Papworth Hospital, Cambridge CB2 0AY, United Kingdom
| | - Marc S Dionne
- Centre for Bacterial Resistance Biology, Imperial College London, London SW7 2AZ, United Kingdom
- Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom
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Hanson MA. When the microbiome shapes the host: immune evolution implications for infectious disease. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230061. [PMID: 38497259 PMCID: PMC10945400 DOI: 10.1098/rstb.2023.0061] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/08/2023] [Indexed: 03/19/2024] Open
Abstract
The microbiome includes both 'mutualist' and 'pathogen' microbes, regulated by the same innate immune architecture. A major question has therefore been: how do hosts prevent pathogenic infections while maintaining beneficial microbes? One idea suggests hosts can selectively activate innate immunity upon pathogenic infection, but not mutualist colonization. Another idea posits that hosts can selectively attack pathogens, but not mutualists. Here I review evolutionary principles of microbe recognition and immune activation, and reflect on newly observed immune effector-microbe specificity perhaps supporting the latter idea. Recent work in Drosophila has found a surprising importance for single antimicrobial peptides in combatting specific ecologically relevant microbes. The developing picture suggests these effectors have evolved for this purpose. Other defence responses like reactive oxygen species bursts can also be uniquely effective against specific microbes. Signals in other model systems including nematodes, Hydra, oysters, and mammals, suggest that effector-microbe specificity may be a fundamental principle of host-pathogen interactions. I propose this effector-microbe specificity stems from weaknesses of the microbes themselves: if microbes have intrinsic weaknesses, hosts can evolve effectors that exploit those weaknesses. I define this host-microbe relationship as 'the Achilles principle of immune evolution'. Incorporating this view helps interpret why some host-microbe interactions develop in a coevolutionary framework (e.g. Red Queen dynamics), or as a one-sided evolutionary response. This clarification should be valuable to better understand the principles behind host susceptibilities to infectious diseases. This article is part of the theme issue 'Sculpting the microbiome: how host factors determine and respond to microbial colonization'.
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Affiliation(s)
- Mark A Hanson
- Centre for Ecology and Conservation, University of Exeter, Cornwall, TR10 9FE, UK
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Touré H, Herrmann JL, Szuplewski S, Girard-Misguich F. Drosophila melanogaster as an organism model for studying cystic fibrosis and its major associated microbial infections. Infect Immun 2023; 91:e0024023. [PMID: 37847031 PMCID: PMC10652941 DOI: 10.1128/iai.00240-23] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Cystic fibrosis (CF) is a human genetic disease caused by mutations in the cystic fibrosis transmembrane conductance regulator gene that encodes a chloride channel. The most severe clinical manifestation is associated with chronic pulmonary infections by pathogenic and opportunistic microbes. Drosophila melanogaster has become the invertebrate model of choice for modeling microbial infections and studying the induced innate immune response. Here, we review its contribution to the understanding of infections with six major pathogens associated with CF (Staphylococcus aureus, Pseudomonas aeruginosa, Burkholderia cepacia, Mycobacterium abscessus, Streptococcus pneumoniae, and Aspergillus fumigatus) together with the perspectives opened by the recent availability of two CF models in this model organism.
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Affiliation(s)
- Hamadoun Touré
- Université Paris-Saclay, UVSQ, INSERM, Infection et Inflammation, Montigny-le-Bretonneux, France
| | - Jean-Louis Herrmann
- Université Paris-Saclay, UVSQ, INSERM, Infection et Inflammation, Montigny-le-Bretonneux, France
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Ile-de-France Ouest, GHU Paris-Saclay, Hôpital Raymond Poincaré, Garches, France
| | - Sébastien Szuplewski
- Université Paris-Saclay, UVSQ, Laboratoire de Génétique et Biologie Cellulaire, Montigny-le-Bretonneux, France
| | - Fabienne Girard-Misguich
- Université Paris-Saclay, UVSQ, INSERM, Infection et Inflammation, Montigny-le-Bretonneux, France
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