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Bergsten E, Mestivier D, Donnadieu F, Pedron T, Barau C, Meda LT, Mettouchi A, Lemichez E, Gorgette O, Chamaillard M, Vaysse A, Volant S, Doukani A, Sansonetti PJ, Sobhani I, Nigro G. Parvimonas micra, an oral pathobiont associated with colorectal cancer, epigenetically reprograms human colonocytes. Gut Microbes 2023; 15:2265138. [PMID: 37842920 PMCID: PMC10580862 DOI: 10.1080/19490976.2023.2265138] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/20/2023] [Indexed: 10/17/2023] Open
Abstract
Recently, an intestinal dysbiotic microbiota with enrichment in oral cavity bacteria has been described in colorectal cancer (CRC) patients. Here, we characterize and investigate one of these oral pathobionts, the Gram-positive anaerobic coccus Parvimonas micra. We identified two phylotypes (A and B) exhibiting different phenotypes and adhesion capabilities. We observed a strong association of phylotype A with CRC, with its higher abundance in feces and in tumoral tissue compared with the normal homologous colonic mucosa, which was associated with a distinct methylation status of patients. By developing an in vitro hypoxic co-culture system of human primary colonic cells with anaerobic bacteria, we show that P. micra phylotype A alters the DNA methylation profile promoters of key tumor-suppressor genes, oncogenes, and genes involved in epithelial-mesenchymal transition. In colonic mucosa of CRC patients carrying P. micra phylotype A, we found similar DNA methylation alterations, together with significant enrichment of differentially expressed genes in pathways involved in inflammation, cell adhesion, and regulation of actin cytoskeleton, providing evidence of P. micra's possible role in the carcinogenic process.
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Affiliation(s)
- Emma Bergsten
- Unité de Pathogénie Microbienne Moléculaire, INSERM U1202, Institut Pasteur, Paris, France
- Équipe universitaire EC2M3-EA7375, Université Paris- Est (UPEC), Créteil, France
| | - Denis Mestivier
- Équipe universitaire EC2M3-EA7375, Université Paris- Est (UPEC), Créteil, France
- Plateforme de Bio-informatique, Institut Mondor de Recherche Biomédicale (IMRB/INSERM U955), Université Paris-Est, Créteil, France
| | - Francoise Donnadieu
- Unité de Pathogénie Microbienne Moléculaire, INSERM U1202, Institut Pasteur, Paris, France
| | - Thierry Pedron
- Unité de Pathogénie Microbienne Moléculaire, INSERM U1202, Institut Pasteur, Paris, France
- Unité Bactériophage, Bactérie, Hôte, Institut Pasteur, Paris, France
| | - Caroline Barau
- Plateforme de Ressources Biologiques, CHU Henri Mondor Assistance Publique Hôpitaux de Paris (APHP), Créteil, France
| | - Landry Tsoumtsa Meda
- Unité des Toxines Bactériennes, Université Paris Cité, CNRS UMR6047, INSERM U1306, Institut Pasteur, Paris, France
| | - Amel Mettouchi
- Unité des Toxines Bactériennes, Université Paris Cité, CNRS UMR6047, INSERM U1306, Institut Pasteur, Paris, France
| | - Emmanuel Lemichez
- Unité des Toxines Bactériennes, Université Paris Cité, CNRS UMR6047, INSERM U1306, Institut Pasteur, Paris, France
| | - Olivier Gorgette
- Plateforme de Bio-Imagerie Ultrastructurale, Institut Pasteur, Université Paris Cité, Paris, France
| | - Mathias Chamaillard
- Laboratory of Cell Physiology, INSERM U1003, University of Lille, Lille, France
| | - Amaury Vaysse
- Bioinformatics and Biostatistics Hub, Institut Pasteur, Université Paris Cité, Paris, France
| | - Stevenn Volant
- Bioinformatics and Biostatistics Hub, Institut Pasteur, Université Paris Cité, Paris, France
| | - Abiba Doukani
- Sorbonne Université, Inserm, Unité Mixte de Service Production et Analyse de données en Sciences de la Vie et en Santé, Paris, France
| | - Philippe J. Sansonetti
- Unité de Pathogénie Microbienne Moléculaire, INSERM U1202, Institut Pasteur, Paris, France
- Chaire de Microbiologie et Maladies Infectieuses, Collège de France, Paris, France
| | - Iradj Sobhani
- Équipe universitaire EC2M3-EA7375, Université Paris- Est (UPEC), Créteil, France
- Service de Gastroentérologie, CHU Henri Mondor Assistance Publique Hôpitaux de Paris (APHP), Créteil, France
| | - Giulia Nigro
- Unité de Pathogénie Microbienne Moléculaire, INSERM U1202, Institut Pasteur, Paris, France
- Microenvironment and Immunity Unit, INSERM U1224, Institut Pasteur, Paris, France
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Begue S, Sillam M, Acquart S, Belcour B, Boivin S, Brochier G, Chartois-Leaute AG, Colombat M, Delamaire M, Donnadieu F, Errami A, Laforet M, Manoliu C, Marpaux N, Masson S, Olivier B, Salih F, Sellami F. Bilan 2008–2012 des résultats de contrôle qualité des PSL à l’Établissement français du sang. Transfus Clin Biol 2013. [DOI: 10.1016/j.tracli.2013.03.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Chicheportiche C, Cantaloube JF, Biagini P, Aumont P, Donnadieu F, Escher J, Larabi F, Zepitelli JP. Analysis of ELISA hepatitis C virus-positive blood donors population by polymerase chain reaction and recombinant immunoblot assay (RIBA). Comparison of second and third generation RIBA. Acta Virol 1993; 37:123-31. [PMID: 7692714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
A new RIBA-3 (Chiron-Ortho Diagnostic System) was performed for discriminating uninterpretable results of RIBA-2. Recognition of antibodies to hepatitis C virus by RIBA-2 and RIBA-3 was compared among 95 ELISA-2 (second generation ELISA) positive blood donors and correlated with alanine-aminotransferase (ALAT) levels and viremia, using polymerase chain reaction (PCR). These studies led to three important conclusions. First, all ELISA-2-positive, RIBA-2-positive and ALAT-positive samples were found viremic compared with 73% of ELISA-2-positive, RIBA-2-positive and ALAT-negative samples. Then, the comparison of the different RIBAs allowed to conclude that RIBA-3 was more sensitive but less specific than RIBA-2. RIBA-3 was interesting to discriminate undetermined RIBA-2, owing to an improved specificity of C100-3 antigen. In fact, most of the C100-3 positive, RIBA-2 undetermined samples became RIBA-3 negative whereas C22-3 positive, RIBA-2 undetermined samples became RIBA-3 positive or undetermined. Finally, a significant correlation was found between the presence of antibodies against C33-c antigen and viremia.
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