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      Identifying microbiome-based changes and biomarkers prior to disease development in mother and child, with a focus on gestational diabetes mellitus: protocol for the DANish Maternal and Offspring Microbiome (DANMOM) cohort study

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          Abstract

          Abstract
          Introduction

          The human gut microbiota is associated with gestational diabetes mellitus (GDM), which imposes a risk of developing long-term health problems for mother and child. Most studies on GDM and microbiota have been cross-sectional, which makes it difficult to make any conclusions on causality. Furthermore, it is important to assess if a dysbiotic microbiota is passed from the mother to the child, and then being at risk of developing metabolic health problems later in life. The DANish Maternal and Offspring Microbiome study aims to identify gut microbiota-related factors involved in metabolic dysfunction in women with GDM and their offspring. Importantly, the study design allows for early detection of biological changes associated with later development of metabolic disease. This could provide us with unique tools to support early diagnosis or implement preventative measures.

          Methods and analysis

          Pregnant women are included in the study after the 11–14 weeks’ prenatal ultrasound scan and followed throughout pregnancy with enrolment of the offspring at birth. 202 women and 112 children have been included from North Denmark Regional Hospital and Aalborg University Hospital in Denmark. Mother and child are followed until the children reach the age of 5 years. From the mother, we collect faeces, urine, blood, saliva, vaginal fluid and breast milk samples, in addition to faeces and a blood sample from the child. Microbiota composition in biological samples will be analysed using 16S rRNA gene sequencing and compared with demographic and clinical data from medical charts, registers and questionnaires. Sample and data collection will continue until July 2028.

          Ethics and dissemination

          The study protocol has been approved by the North Denmark Region Committee on Health Research Ethics (N20190007). Written informed consent is obtained from all participants prior to study participation. Study results will be published in international peer-reviewed journals and presented at international conferences. The results will also be presented to the funders of the study and study participants.

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          Most cited references68

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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                Author and article information

                Contributors
                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2024
                05 September 2024
                : 14
                : 9
                : e083358
                Affiliations
                [1 ]departmentCentre for Clinical Research , North Denmark Regional Hospital , Hjørring, Denmark
                [2 ]departmentDepartment of Clinical Medicine , Aalborg University , Aalborg, Denmark
                [3 ]departmentDepartment of Gynecology and Obstetrics , North Denmark Regional Hospital , Hjørring, Denmark
                [4 ]departmentDepartment of Gynecology and Obstetrics , Aarhus University Hospital , Aarhus, Denmark
                [5 ]Steno Diabetes Center Aarhus , Aarhus, Denmark
                [6 ]departmentDepartment of Pediatrics and Adolescent Medicine , Aalborg University Hospital , Aalborg, Denmark
                [7 ]Steno Diabetes Center North Denmark , Aalborg, Denmark
                Author notes

                None declared.

                Author information
                http://orcid.org/0000-0002-4201-1168
                Article
                bmjopen-2023-083358
                10.1136/bmjopen-2023-083358
                11381651
                39242166
                6131b98e-327e-4958-9264-5db372452f9e
                Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 18 December 2023
                : 23 August 2024
                Funding
                Funded by: Marie Pedersen og Jensine Heiberg’s Foundation;
                Award ID: N/A
                Funded by: Steno Diabetes Center North Denmark;
                Award ID: N/A
                Funded by: Niels Jensen’s Foundation;
                Award ID: N/A
                Categories
                Protocol
                Obstetrics and Gynaecology
                1845
                1506

                Medicine
                diabetes in pregnancy,microbiology,paediatrics,obstetrics
                Medicine
                diabetes in pregnancy, microbiology, paediatrics, obstetrics

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