Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context

Autores
Rosso, Ayelen Daiana; Aguilera, Pablo Nicolas; Quesada, Sofía; Mascardi, María Florencia; Mascuka, Sebastian N.; Cimolai, María Cecilia; Cerezo, Jimena; Spiazzi, Renata; Conlon, Carolina; Milano, Claudia; Iraola, Gregorio M.; Penas Steinhardt, Alberto; Belforte, Fiorella Sabrina
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Rosso, Ayelen Daiana. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Universidad Nacional de Luján. Instituto de Ecología y Desarrollo Sustentable; Argentina
Fil: Aguilera, Pablo Nicolas. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina
Fil: Mascuka, Sebastian N.. Universidad Nacional de Luján; Argentina
Fil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Cerezo, Jimena. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Spiazzi, Renata. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Conlon, Carolina. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Milano, Claudia. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Iraola, Gregorio M.. Instituto Pasteur de Montevideo; Uruguay. Wellcome Sanger Institute; Reino Unido. Universidad Mayor; Chile
Fil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. Instituto Universitario de Ciencias de la Salud; Argentina
Fil: Belforte, Fiorella Sabrina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Materia
COMPREHENSIVE-PHENOTYPING
CROHN-DISEASE
GUT-MICROBIOTA
ULCERATIVE-COLITIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/215535
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/215535
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions ContextRosso, Ayelen DaianaAguilera, Pablo NicolasQuesada, SofíaMascardi, María FlorenciaMascuka, Sebastian N.Cimolai, María CeciliaCerezo, JimenaSpiazzi, RenataConlon, CarolinaMilano, ClaudiaIraola, Gregorio M.Penas Steinhardt, AlbertoBelforte, Fiorella SabrinaCOMPREHENSIVE-PHENOTYPINGCROHN-DISEASEGUT-MICROBIOTAULCERATIVE-COLITIShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Inflammatory 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.Fil: Rosso, Ayelen Daiana. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Universidad Nacional de Luján. Instituto de Ecología y Desarrollo Sustentable; ArgentinaFil: Aguilera, Pablo Nicolas. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; ArgentinaFil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Universitario del Hospital Italiano de Buenos Aires; ArgentinaFil: Mascuka, Sebastian N.. Universidad Nacional de Luján; ArgentinaFil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; ArgentinaFil: Cerezo, Jimena. Hospital Nacional Profesor Alejandro Posadas; ArgentinaFil: Spiazzi, Renata. Hospital Nacional Profesor Alejandro Posadas; ArgentinaFil: Conlon, Carolina. Hospital Nacional Profesor Alejandro Posadas; ArgentinaFil: Milano, Claudia. Hospital Nacional Profesor Alejandro Posadas; ArgentinaFil: Iraola, Gregorio M.. Instituto Pasteur de Montevideo; Uruguay. Wellcome Sanger Institute; Reino Unido. Universidad Mayor; ChileFil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. Instituto Universitario de Ciencias de la Salud; ArgentinaFil: Belforte, Fiorella Sabrina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; ArgentinaMultidisciplinary Digital Publishing Institute2022-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215535Rosso, Ayelen Daiana; Aguilera, Pablo Nicolas; Quesada, Sofía; Mascardi, María Florencia; Mascuka, Sebastian N.; et al.; Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context; Multidisciplinary Digital Publishing Institute; Microorganisms; 10; 11; 11-2022; 1-252076-2607CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/microorganisms10112190info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-2607/10/11/2190info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:58:07Zoai:ri.conicet.gov.ar:11336/215535instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:58:07.412CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
title Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
spellingShingle Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
Rosso, Ayelen Daiana
COMPREHENSIVE-PHENOTYPING
CROHN-DISEASE
GUT-MICROBIOTA
ULCERATIVE-COLITIS
title_short Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
title_full Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
title_fullStr Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
title_full_unstemmed Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
title_sort Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context
dc.creator.none.fl_str_mv Rosso, Ayelen Daiana
Aguilera, Pablo Nicolas
Quesada, Sofía
Mascardi, María Florencia
Mascuka, Sebastian N.
Cimolai, María Cecilia
Cerezo, Jimena
Spiazzi, Renata
Conlon, Carolina
Milano, Claudia
Iraola, Gregorio M.
Penas Steinhardt, Alberto
Belforte, Fiorella Sabrina
author Rosso, Ayelen Daiana
author_facet Rosso, Ayelen Daiana
Aguilera, Pablo Nicolas
Quesada, Sofía
Mascardi, María Florencia
Mascuka, Sebastian N.
Cimolai, María Cecilia
Cerezo, Jimena
Spiazzi, Renata
Conlon, Carolina
Milano, Claudia
Iraola, Gregorio M.
Penas Steinhardt, Alberto
Belforte, Fiorella Sabrina
author_role author
author2 Aguilera, Pablo Nicolas
Quesada, Sofía
Mascardi, María Florencia
Mascuka, Sebastian N.
Cimolai, María Cecilia
Cerezo, Jimena
Spiazzi, Renata
Conlon, Carolina
Milano, Claudia
Iraola, Gregorio M.
Penas Steinhardt, Alberto
Belforte, Fiorella Sabrina
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COMPREHENSIVE-PHENOTYPING
CROHN-DISEASE
GUT-MICROBIOTA
ULCERATIVE-COLITIS
topic COMPREHENSIVE-PHENOTYPING
CROHN-DISEASE
GUT-MICROBIOTA
ULCERATIVE-COLITIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Rosso, Ayelen Daiana. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Universidad Nacional de Luján. Instituto de Ecología y Desarrollo Sustentable; Argentina
Fil: Aguilera, Pablo Nicolas. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quesada, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Mascardi, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Universitario del Hospital Italiano de Buenos Aires; Argentina
Fil: Mascuka, Sebastian N.. Universidad Nacional de Luján; Argentina
Fil: Cimolai, María Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Cerezo, Jimena. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Spiazzi, Renata. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Conlon, Carolina. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Milano, Claudia. Hospital Nacional Profesor Alejandro Posadas; Argentina
Fil: Iraola, Gregorio M.. Instituto Pasteur de Montevideo; Uruguay. Wellcome Sanger Institute; Reino Unido. Universidad Mayor; Chile
Fil: Penas Steinhardt, Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina. Instituto Universitario de Ciencias de la Salud; Argentina
Fil: Belforte, Fiorella Sabrina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/215535
Rosso, Ayelen Daiana; Aguilera, Pablo Nicolas; Quesada, Sofía; Mascardi, María Florencia; Mascuka, Sebastian N.; et al.; Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context; Multidisciplinary Digital Publishing Institute; Microorganisms; 10; 11; 11-2022; 1-25
2076-2607
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215535
identifier_str_mv Rosso, Ayelen Daiana; Aguilera, Pablo Nicolas; Quesada, Sofía; Mascardi, María Florencia; Mascuka, Sebastian N.; et al.; Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom Interactions Context; Multidisciplinary Digital Publishing Institute; Microorganisms; 10; 11; 11-2022; 1-25
2076-2607
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/microorganisms10112190
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2076-2607/10/11/2190
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.885934

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