Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis
In any research field, data access and data integration are major challenges that even large, well-established consortia face. Although data sharing initiatives are increasing, joint data analyses on nutrition and microbiomics in health and disease are still scarce. We aimed to identify observationa...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/263555 |
| Acceso en línea: | http://hdl.handle.net/10261/263555 |
| Access Level: | acceso abierto |
| Palabra clave: | Microbiome Dietary intake Metadata Data integration Data sharing Observational studies Metabolome |
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| dc.title.none.fl_str_mv |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| title |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| spellingShingle |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis Pinart, Mariona Microbiome Dietary intake Metadata Data integration Data sharing Observational studies Metabolome |
| title_short |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| title_full |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| title_fullStr |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| title_full_unstemmed |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| title_sort |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysis |
| dc.creator.none.fl_str_mv |
Pinart, Mariona Nimptsch, Katharina Forslund, Sofía K. Schlicht, Kristina Gueimonde Fernández, Miguel Brigidi, Patrizia Turroni, Silvia Ahrens, Wolfgang Hebestreit, Antje Wolters, Maike Dötsch, Andreas Nöthlings, Ute Oluwagbemigun, Kolade Cuadrat, Rafael R.C. Schulze, Matthias B. Standl, Marie Schloter, Michael Angelis, Maria de Iozzo, Patricia Guzzardi, Maria Angela Vlaemynck, Geertrui Penders, John Jonkers, Daisy M. A. E. Stemmer, Maya Chiesa, Giulia Cavalieri, Duccio Filippo, Carlotta de Ercolini, Danilo Filippis, Francesca de Ribet, David Achamrah, Najate Tavolacci, Marie-Pierre Déchelotte, Pierre Bouwman, Jildau Laudes, Matthias Pischon, Tobias |
| author |
Pinart, Mariona |
| author_facet |
Pinart, Mariona Nimptsch, Katharina Forslund, Sofía K. Schlicht, Kristina Gueimonde Fernández, Miguel Brigidi, Patrizia Turroni, Silvia Ahrens, Wolfgang Hebestreit, Antje Wolters, Maike Dötsch, Andreas Nöthlings, Ute Oluwagbemigun, Kolade Cuadrat, Rafael R.C. Schulze, Matthias B. Standl, Marie Schloter, Michael Angelis, Maria de Iozzo, Patricia Guzzardi, Maria Angela Vlaemynck, Geertrui Penders, John Jonkers, Daisy M. A. E. Stemmer, Maya Chiesa, Giulia Cavalieri, Duccio Filippo, Carlotta de Ercolini, Danilo Filippis, Francesca de Ribet, David Achamrah, Najate Tavolacci, Marie-Pierre Déchelotte, Pierre Bouwman, Jildau Laudes, Matthias Pischon, Tobias |
| author_role |
author |
| author2 |
Nimptsch, Katharina Forslund, Sofía K. Schlicht, Kristina Gueimonde Fernández, Miguel Brigidi, Patrizia Turroni, Silvia Ahrens, Wolfgang Hebestreit, Antje Wolters, Maike Dötsch, Andreas Nöthlings, Ute Oluwagbemigun, Kolade Cuadrat, Rafael R.C. Schulze, Matthias B. Standl, Marie Schloter, Michael Angelis, Maria de Iozzo, Patricia Guzzardi, Maria Angela Vlaemynck, Geertrui Penders, John Jonkers, Daisy M. A. E. Stemmer, Maya Chiesa, Giulia Cavalieri, Duccio Filippo, Carlotta de Ercolini, Danilo Filippis, Francesca de Ribet, David Achamrah, Najate Tavolacci, Marie-Pierre Déchelotte, Pierre Bouwman, Jildau Laudes, Matthias Pischon, Tobias |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission Fonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles) Research Foundation - Flanders Institut National de la Santé et de la Recherche Médicale (France) Federal Ministry of Education and Research (Germany) Federal Ministry of Food and Agriculture (Germany) Ministero dell'Istruzione, dell'Università e della Ricerca Ministero delle Politiche Agricole Alimentari e Forestali National Institutes of Health (US) Ministero della Salute Instituto de Salud Carlos III Netherlands Organisation for Health Research and Development Austrian Research Promotion Agency Federal Ministry of Education, Science and Research (Austria) Ministry of Science, Technology and Space (Israel) Swedish Research Council for Sustainable Development German Research Foundation Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Microbiome Dietary intake Metadata Data integration Data sharing Observational studies Metabolome |
| topic |
Microbiome Dietary intake Metadata Data integration Data sharing Observational studies Metabolome |
| description |
In any research field, data access and data integration are major challenges that even large, well-established consortia face. Although data sharing initiatives are increasing, joint data analyses on nutrition and microbiomics in health and disease are still scarce. We aimed to identify observational studies with data on nutrition and gut microbiome composition from the Intestinal Microbiomics (INTIMIC) Knowledge Platform following the findable, accessible, interoperable, and reusable (FAIR) principles. An adapted template from the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) consortium was used to collect microbiome-specific information and other related factors. In total, 23 studies (17 longitudinal and 6 cross-sectional) were identified from Italy (7), Germany (6), Netherlands (3), Spain (2), Belgium (1), and France (1) or multiple countries (3). Of these, 21 studies collected information on both dietary intake (24 h dietary recall, food frequency questionnaire (FFQ), or Food Records) and gut microbiome. All studies collected stool samples. The most often used sequencing platform was Illumina MiSeq, and the preferred hypervariable regions of the 16S rRNA gene were V3–V4 or V4. The combination of datasets will allow for sufficiently powered investigations to increase the knowledge and understanding of the relationship between food and gut microbiome in health and disease. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2022 2022 2022 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/263555 |
| url |
http://hdl.handle.net/10261/263555 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.3390/nu13093292 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Molecular Diversity Preservation International |
| publisher.none.fl_str_mv |
Molecular Diversity Preservation International |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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| _version_ |
1869405839199043584 |
| spelling |
Identification and characterization of human observational studies in nutritional epidemiology on gut microbiomics for joint data analysisPinart, MarionaNimptsch, KatharinaForslund, Sofía K.Schlicht, KristinaGueimonde Fernández, MiguelBrigidi, PatriziaTurroni, SilviaAhrens, WolfgangHebestreit, AntjeWolters, MaikeDötsch, AndreasNöthlings, UteOluwagbemigun, KoladeCuadrat, Rafael R.C.Schulze, Matthias B.Standl, MarieSchloter, MichaelAngelis, Maria deIozzo, PatriciaGuzzardi, Maria AngelaVlaemynck, GeertruiPenders, JohnJonkers, Daisy M. A. E.Stemmer, MayaChiesa, GiuliaCavalieri, DuccioFilippo, Carlotta deErcolini, DaniloFilippis, Francesca deRibet, DavidAchamrah, NajateTavolacci, Marie-PierreDéchelotte, PierreBouwman, JildauLaudes, MatthiasPischon, TobiasMicrobiomeDietary intakeMetadataData integrationData sharingObservational studiesMetabolomeIn any research field, data access and data integration are major challenges that even large, well-established consortia face. Although data sharing initiatives are increasing, joint data analyses on nutrition and microbiomics in health and disease are still scarce. We aimed to identify observational studies with data on nutrition and gut microbiome composition from the Intestinal Microbiomics (INTIMIC) Knowledge Platform following the findable, accessible, interoperable, and reusable (FAIR) principles. An adapted template from the European Nutritional Phenotype Assessment and Data Sharing Initiative (ENPADASI) consortium was used to collect microbiome-specific information and other related factors. In total, 23 studies (17 longitudinal and 6 cross-sectional) were identified from Italy (7), Germany (6), Netherlands (3), Spain (2), Belgium (1), and France (1) or multiple countries (3). Of these, 21 studies collected information on both dietary intake (24 h dietary recall, food frequency questionnaire (FFQ), or Food Records) and gut microbiome. All studies collected stool samples. The most often used sequencing platform was Illumina MiSeq, and the preferred hypervariable regions of the 16S rRNA gene were V3–V4 or V4. The combination of datasets will allow for sufficiently powered investigations to increase the knowledge and understanding of the relationship between food and gut microbiome in health and disease.This research was supported by the Joint Action “European Joint Programming Initiative “A Healthy Diet for a Healthy Life” (JPI HDHL)”and the respective national/regional funding organisations: Fund for Scientific Research (FRS—FNRS, Belgium); Research Foundation—Flanders (FWO, Belgium); INSERM Institut National de la Santé et de la Recherche Médicale (France); Federal Ministry of Education and Research (BMBF, FKZ 01EA1906B, 01EA1906D); Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE, Germany, grant number 2819ERA10F); Ministry of Education, University and Research (MIUR), Ministry of agricultural, food and forestry policies (MiPAAF), National Institute of Health (ISS) on behalf of Ministry of Health (Italy); National Institute of Health Carlos III (Spain); The Netherlands Organisation for Health Research and Development (ZonMw, The Netherlands), Austrian Research Promotion Agency (FFG) on behalf of the Austrian Federal Ministry for Education, Science and Research (BMBWF), Ministry of Science and Technology (Israel), Formas (Sweden). This research was also supported by the German Research Foundation (DFG, KFO339: “food@”).Molecular Diversity Preservation InternationalEuropean CommissionFonds de la Recherche Scientifique (Fédération Wallonie-Bruxelles)Research Foundation - FlandersInstitut National de la Santé et de la Recherche Médicale (France)Federal Ministry of Education and Research (Germany)Federal Ministry of Food and Agriculture (Germany)Ministero dell'Istruzione, dell'Università e della RicercaMinistero delle Politiche Agricole Alimentari e ForestaliNational Institutes of Health (US)Ministero della SaluteInstituto de Salud Carlos IIINetherlands Organisation for Health Research and DevelopmentAustrian Research Promotion AgencyFederal Ministry of Education, Science and Research (Austria)Ministry of Science, Technology and Space (Israel)Swedish Research Council for Sustainable DevelopmentGerman Research FoundationConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/263555reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.3390/nu13093292Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2635552026-05-22T06:33:51Z |
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15.811543 |