Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably he...
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Published in | Microorganisms (Basel) Vol. 10; no. 11; p. 2190 |
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Main Authors | , , , , , , , , , , , , |
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Abstract | Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably heterogeneous in their clinical presentation and response to treatment. This translates into a notable diagnostic challenge, especially in underdeveloped countries where IBD is on the rise and access to diagnosis or treatment is not always accessible for chronic diseases. The present work characterized, for the first time in our region, epigenetic biomarkers and gut microbial profiles associated with UC and CD patients in the Buenos Aires Metropolitan area and revealed differences between non-IBD controls and IBD patients. General metabolic functions associated with the gut microbiota, as well as core microorganisms within groups, were also analyzed. Additionally, the gut microbiota analysis was integrated with relevant clinical, biochemical and epigenetic markers considered in the follow-up of patients with IBD, with the aim of generating more powerful diagnostic tools to discriminate phenotypes. Overall, our study provides new insights into data analysis algorithms to promote comprehensive phenotyping tools using quantitative and qualitative analysis in a transkingdom interactions network context. |
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AbstractList | Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably heterogeneous in their clinical presentation and response to treatment. This translates into a notable diagnostic challenge, especially in underdeveloped countries where IBD is on the rise and access to diagnosis or treatment is not always accessible for chronic diseases. The present work characterized, for the first time in our region, epigenetic biomarkers and gut microbial profiles associated with UC and CD patients in the Buenos Aires Metropolitan area and revealed differences between non-IBD controls and IBD patients. General metabolic functions associated with the gut microbiota, as well as core microorganisms within groups, were also analyzed. Additionally, the gut microbiota analysis was integrated with relevant clinical, biochemical and epigenetic markers considered in the follow-up of patients with IBD, with the aim of generating more powerful diagnostic tools to discriminate phenotypes. Overall, our study provides new insights into data analysis algorithms to promote comprehensive phenotyping tools using quantitative and qualitative analysis in a transkingdom interactions network context. Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably heterogeneous in their clinical presentation and response to treatment. This translates into a notable diagnostic challenge, especially in underdeveloped countries where IBD is on the rise and access to diagnosis or treatment is not always accessible for chronic diseases. The present work characterized, for the first time in our region, epigenetic biomarkers and gut microbial profiles associated with UC and CD patients in the Buenos Aires Metropolitan area and revealed differences between non-IBD controls and IBD patients. General metabolic functions associated with the gut microbiota, as well as core microorganisms within groups, were also analyzed. Additionally, the gut microbiota analysis was integrated with relevant clinical, biochemical and epigenetic markers considered in the follow-up of patients with IBD, with the aim of generating more powerful diagnostic tools to discriminate phenotypes. Overall, our study provides new insights into data analysis algorithms to promote comprehensive phenotyping tools using quantitative and qualitative analysis in a transkingdom interactions network context.Inflammatory bowel disease (IBD) is the most common form of intestinal inflammation associated with a dysregulated immune system response to the commensal microbiota in a genetically susceptible host. IBD includes ulcerative colitis (UC) and Crohn's disease (CD), both of which are remarkably heterogeneous in their clinical presentation and response to treatment. This translates into a notable diagnostic challenge, especially in underdeveloped countries where IBD is on the rise and access to diagnosis or treatment is not always accessible for chronic diseases. The present work characterized, for the first time in our region, epigenetic biomarkers and gut microbial profiles associated with UC and CD patients in the Buenos Aires Metropolitan area and revealed differences between non-IBD controls and IBD patients. General metabolic functions associated with the gut microbiota, as well as core microorganisms within groups, were also analyzed. Additionally, the gut microbiota analysis was integrated with relevant clinical, biochemical and epigenetic markers considered in the follow-up of patients with IBD, with the aim of generating more powerful diagnostic tools to discriminate phenotypes. Overall, our study provides new insights into data analysis algorithms to promote comprehensive phenotyping tools using quantitative and qualitative analysis in a transkingdom interactions network context. |
Audience | Academic |
Author | Penas-Steinhardt, Alberto Mascuka, Sebastian N Belforte, Fiorella S Rosso, Ayelén D Spiazzi, Renata Quesada, Sofía Aguilera, Pablo Iraola, Gregorio M Cimolai, María C Cerezo, Jimena Milano, Claudia Conlon, Carolina Mascardi, Florencia |
AuthorAffiliation | 7 Laboratorio de Genómica Microbiana, Institut Pasteur Montevideo, Montevideo 11400, Uruguay 6 Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina 9 Wellcome Sanger Institute, Wellcome Genome Campus, Cambridgeshire CB10 1SA, UK 4 Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina 10 Instituto Universitario de Ciencias de la Salud, Fundación H.A. Barceló, Ciudad Autónoma de Buenos Aires 1127, Argentina 1 Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina 2 Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina 5 Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italia |
AuthorAffiliation_xml | – name: 10 Instituto Universitario de Ciencias de la Salud, Fundación H.A. Barceló, Ciudad Autónoma de Buenos Aires 1127, Argentina – name: 3 Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina – name: 6 Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina – name: 9 Wellcome Sanger Institute, Wellcome Genome Campus, Cambridgeshire CB10 1SA, UK – name: 1 Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – name: 2 Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – name: 5 Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Ciudad Autónoma de Buenos Aires C1199, Argentina – name: 4 Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – name: 7 Laboratorio de Genómica Microbiana, Institut Pasteur Montevideo, Montevideo 11400, Uruguay – name: 8 Centro de Biología Integrativa, Universidad Mayor, Santiago 7510041, Chile |
Author_xml | – sequence: 1 givenname: Ayelén D surname: Rosso fullname: Rosso, Ayelén D organization: Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – sequence: 2 givenname: Pablo orcidid: 0000-0001-7502-366X surname: Aguilera fullname: Aguilera, Pablo organization: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina – sequence: 3 givenname: Sofía surname: Quesada fullname: Quesada, Sofía organization: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos Aires C1425FQB, Argentina – sequence: 4 givenname: Florencia orcidid: 0000-0002-0306-6414 surname: Mascardi fullname: Mascardi, Florencia organization: Instituto de Medicina Traslacional e Ingeniería Biomédica (IMTIB), CONICET, Instituto Universitario del Hospital Italiano (IUHI), Hospital Italiano de Buenos Aires (HIBA), Ciudad Autónoma de Buenos Aires C1199, Argentina – sequence: 5 givenname: Sebastian N surname: Mascuka fullname: Mascuka, Sebastian N organization: Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – sequence: 6 givenname: María C surname: Cimolai fullname: Cimolai, María C organization: Programa del Estudio de Comunicación y Señalización Interreino (PECSI-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina – sequence: 7 givenname: Jimena surname: Cerezo fullname: Cerezo, Jimena organization: Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina – sequence: 8 givenname: Renata surname: Spiazzi fullname: Spiazzi, Renata organization: Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina – sequence: 9 givenname: Carolina surname: Conlon fullname: Conlon, Carolina organization: Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina – sequence: 10 givenname: Claudia surname: Milano fullname: Milano, Claudia organization: Servicio de Gastroenterología, Hospital Nacional Prof. Alejandro Posadas, Ciudad Autónoma de Buenos Aires 1704, Argentina – sequence: 11 givenname: Gregorio M orcidid: 0000-0002-6516-3404 surname: Iraola fullname: Iraola, Gregorio M organization: Wellcome Sanger Institute, Wellcome Genome Campus, Cambridgeshire CB10 1SA, UK – sequence: 12 givenname: Alberto orcidid: 0000-0002-6164-8842 surname: Penas-Steinhardt fullname: Penas-Steinhardt, Alberto organization: Instituto Universitario de Ciencias de la Salud, Fundación H.A. Barceló, Ciudad Autónoma de Buenos Aires 1127, Argentina – sequence: 13 givenname: Fiorella S orcidid: 0000-0002-3437-1454 surname: Belforte fullname: Belforte, Fiorella S organization: Instituto de Ecología y Desarrollo Sustentable (INEDES-CONICET-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina |
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CitedBy_id | crossref_primary_10_1016_j_heliyon_2023_e23439 crossref_primary_10_1016_j_molimm_2024_05_004 |
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Keywords | gut-microbiota comprehensive-phenotyping crohn-disease ulcerative-colitis |
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Title | Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context |
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