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Research Article
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The intracellular pathogen Francisella tularensis escapes from adaptive immunity by metabolic adaptation

View ORCID ProfileKensuke Shibata  Correspondence email, View ORCID ProfileTakashi Shimizu, Mashio Nakahara, Emi Ito, Francois Legoux, Shotaro Fujii, Yuka Yamada, Makoto Furutani-Seiki, View ORCID ProfileOlivier Lantz, Sho Yamasaki, Masahisa Watarai, Mutsunori Shirai
Kensuke Shibata
1Department of Microbiology and Immunology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan
2Department of Molecular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
3Department of Ophthalmology, Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
Roles: Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Project administration, Writing—original draft, review, and editing
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  • ORCID record for Kensuke Shibata
  • For correspondence: kshibata@yamaguchi-u.ac.jp
Takashi Shimizu
4Joint Faculty of Veterinary Medicine, Laboratory of Veterinary Public Health, Yamaguchi University, Yamaguchi, Japan
Roles: Resources, Data curation, Formal analysis, Validation, Investigation, Writing—review and editing
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  • ORCID record for Takashi Shimizu
Mashio Nakahara
1Department of Microbiology and Immunology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan
Roles: Investigation
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Emi Ito
2Department of Molecular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
Roles: Investigation
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Francois Legoux
5INSERM U932, PSL University, Institut Curie, Paris, France
Roles: Resources, Data curation, Writing—review and editing
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Shotaro Fujii
1Department of Microbiology and Immunology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan
Roles: Investigation
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Yuka Yamada
1Department of Microbiology and Immunology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan
Roles: Investigation
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Makoto Furutani-Seiki
6Systems Biochemistry in Pathology and Regeneration, Graduate School of Medicine, Yamaguchi University, Ube, Japan
Roles: Data curation
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Olivier Lantz
7INSERM U932, PSL University, Laboratoire d’Immunologie Clinique, Centre d’Investigation Clinique en Biothérapie, Institut Curie (CIC-BT1428), Paris, France
Roles: Resources, Data curation, Writing—review and editing
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  • ORCID record for Olivier Lantz
Sho Yamasaki
2Department of Molecular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
8Laboratory of Molecular Immunology, Immunology Frontier Research Center, Osaka University, Osaka, Japan
9Division of Molecular Design, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
10Division of Molecular Immunology, Medical Mycology Research Center, Chiba University, Chiba, Japan
Roles: Resources
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Masahisa Watarai
4Joint Faculty of Veterinary Medicine, Laboratory of Veterinary Public Health, Yamaguchi University, Yamaguchi, Japan
Roles: Writing—review and editing
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Mutsunori Shirai
1Department of Microbiology and Immunology, Graduate School of Medicine, Yamaguchi University, Yamaguchi, Japan
Roles: Funding acquisition, Writing—review and editing
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Published 6 June 2022. DOI: 10.26508/lsa.202201441
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    Figure 1. FT has unique metabolic programs.

    RNA sequencing of free-living and pathogenic F. tularensis strains. (A) The top 10 pathways expressed in the free-living (FN) but not the pathogenic strain (FT) were calculated by Fisher’s exact test. A total of 148 genes were detected only in the free-living strain and were used for this analysis. (A, B) Plots of normalized counts of each gene noted in (A) in both strains. (C) Volcano plot analysis of 1,229 genes detected in both the pathogenic and free-living strain. X- and y-axis show the log2FC and log10P-values, respectively. (D, E) Plots of the normalized read counts for genes down-regulated (D) or up-regulated (E) in the pathogenic strain.

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    Figure 2. FT has mutations in ribD and does not activate MAIT cells.

    (A) Schematic of the riboflavin synthetic pathway. The precursor of the MAIT cell antigen presented by MR1 is highlighted in red. (B) Plots of normalized read counts of genes ribAB, ribD, ribH, and ribC in the free-living and pathogenic strains. (C) Comparison of the amino acid sequence of RibD in the pathogenic and free-living strain. Boxed amino acids (red) are the zinc-binding region of the cytidine and deoxycytidylate deaminase domain. Underlined amino acid sequences are catalytic domains. (D) Summary table of amino acids at five defined positions in RibD in free-living (black) and pathogenic (red) strains as found in the KEGG database. (E, F) GFP-reporter activities of cells expressing human (E) and mouse (F) MAIT TCRs after stimulation with escalating amounts (1, 3, 9 μl) of total metabolites from the indicated strains that were cultured in the presence of human and mouse MR1-expressing cells, with or without anti-MR1 antibody (Ab) (10 μg/ml). Data are representative of three independent experiments.

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    Figure S1. Screening strategy using human or mouse MAIT cell lines.

    (A) Schematic of screening strategy using human or mouse MAIT cell lines. (B) Mouse MAIT cell line 12F12 or human MAIT cell line 4L4T were cocultured with MR1-overexpressing antigen-presenting cells in the presence of Ac-6-FP (100 mM) or 5-OP-RU (10 nM). Data are representative of three independent experiments.

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    Figure S2. Reporter assay using mouse and human MAIT cell reporters.

    (A, B, C, D) Representative histograms of GFP-reporter activities of human (A, C) and mouse (B, D) MAIT cell lines. Mouse MAIT cell line 12F12 or human MAIT cell line 4L4T were cocultured with MR1-overexpressing antigen-presenting cells in the presence of 9 ml of indicated homogenates. (A, B) As negative and positive controls, Ac-6-FP (100 mM) or 5-OP-RU (10 nM) were added during the co-culture, respectively.

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    Figure 3. RibD is required for MAIT cell activation.

    (A) Growth curve of the indicated strains after culture with shaking shows no difference in change in optical density over time. (B) Plots show normalized read counts of genes in the riboflavin synthetic pathway in free-living parental FN or FN∆ribD strains. (C, D, E, F) GFP-reporter activities of cells expressing human (C, E) and mouse (D, F) MAIT TCR after stimulation with escalating amounts (1, 3, 9 μl) (C, D) or 9 μl (E, F) of total metabolites from FN, FN∆ribD, FNribDFT, FNribDFT (56, 61, 62), FNribDFT (80), and FNribDFT (254) strains cultured in the presence of human or mouse MR1-expressing cells. *P < 0.05, **P < 0.01, ***P < 0.001 by one-way ANOVA, followed by Dunnett’s multiple comparison test. Data are representative of three independent experiments.

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    Figure 4. Amino acid substitutions in RibD increase the pathogenesis of F. tularensis.

    (A) Survival rates of mice after intranasal infection with the FNribDFT or its parental strain FN (n = 15 in each group). Asterisks indicate statistical significance determined by logrank tests (**P < 0.01). (B) Graph shows the changes of bacterial numbers after infection in vitro. After infection with indicated strains to THP-1 cells, bacteria present in the cells were calculated at each time point. (C, D) Histological analysis of inflammation in the lung by immunohistochemistry (C) or H&E staining with quantified data (D) 4 d after intranasal infection. (C, D) Scale bar shows 10 μm (C) or 50 μm (D), respectively. Statistical significance was determined by unpaired two-tailed t tests (*P < 0.05). (E) Bacterial burdens in the indicated tissues 4 d after infection (n = 14 in each group). Statistical significance was determined by unpaired two-tailed t tests (*P < 0.05, **P < 0.01). (F) Numbers of mMR1/5-OP-RU-tet+ MAIT cells in the lung 4 d after infection. Statistical significance was determined by unpaired two-tailed t tests (**P < 0.01). (G, H) Flow cytometric analysis of lung 14 d after infection with the indicated strain. (G) mMR1/5-OP-RU-tet+ MAIT cells in the lung are shown after gating on total lymphocytes. (H) Plots show the absolute numbers of mMR1/5OP-RU-tet+ MAIT cells, mCD11c+ DCs, and mF4/80+ macrophages. Statistical significance was determined by one-way ANOVA, followed by Dunnett’s multiple comparison test (**P < 0.01, ****P < 0.0001). (I, J) Flow cytometric analysis of lung MAIT cells 9 d after infection with the avirulent strain FN. (I) After gating on mMR1/5OP-RU-tet+ cells, IFNγ and IL-17A production was analyzed by intracellular staining. (J) Graph shows frequencies of the indicated populations before and after infection with FN. Statistical significance was determined by unpaired two-tailed t test (****P < 0.0001). Data in (A, E, F, H, J) are combined from three independent experiments. Data in (B, C, D, G, I) are representative of three independent experiments.

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    Figure S3. Gating strategy for MAIT cells, macrophages, and DCs.

    Gating strategy for flow cytometric analysis of MAIT cells, DCs, and macrophages in the lung. For analyzing MAIT cells, after excluding 7-aminoactinomycin D+ dead cells (upper left), lymphocytes are identified based on parameters of FSC and SSC (upper right). The lymphocytes were furthermore gated on CD45+ cells before showing mMR1/5-OP-RU-tet+ cells. For identification of CD11c+ DCs and F4/80+ macrophages, viable CD45+ cells were used for the analysis.

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Immunological escaping strategy of an intracellular pathogen
Kensuke Shibata, Takashi Shimizu, Mashio Nakahara, Emi Ito, Francois Legoux, Shotaro Fujii, Yuka Yamada, Makoto Furutani-Seiki, Olivier Lantz, Sho Yamasaki, Masahisa Watarai, Mutsunori Shirai
Life Science Alliance Jun 2022, 5 (10) e202201441; DOI: 10.26508/lsa.202201441

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Immunological escaping strategy of an intracellular pathogen
Kensuke Shibata, Takashi Shimizu, Mashio Nakahara, Emi Ito, Francois Legoux, Shotaro Fujii, Yuka Yamada, Makoto Furutani-Seiki, Olivier Lantz, Sho Yamasaki, Masahisa Watarai, Mutsunori Shirai
Life Science Alliance Jun 2022, 5 (10) e202201441; DOI: 10.26508/lsa.202201441
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Volume 5, No. 10
October 2022
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  • Shibata, K., Shimizu, T., Nakahara, M., Ito, E., Legoux, F., Fujii, S., Yamada, Y., Furutani-Seiki, M., Lantz, O., Yamasaki, S., Watarai, M., & Shirai, M. (2022). Correction: The intracellular pathogen Francisella escapes from adaptive immunity by metabolic adaptation. Life Science Alliance, 5(11), e202201733. Accessed January 26, 2023. https://doi.org/10.26508/lsa.202201733.

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