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Biological Samples—Standard Operating Procedures for Collection, Shipment, Storage and Documentation

  • Jenny PepliesEmail author
  • Kathrin Günther
  • Andrea Gottlieb
  • Annette Lübke
  • Karin Bammann
  • Wolfgang Ahrens
Chapter
Part of the Springer Series on Epidemiology and Public Health book series (SSEH)

Abstract

The collection of morning urine, stool, capillary and venous blood was a central component of the IDEFICS/I.Family studies to investigate the metabolic health of children, to assess gene expression of related genes, to determine correlates of bone health and to validate nutritional intake with biochemical markers. Saliva samples were used as a source of deoxyribonucleic acid (DNA) for genetic analyses but also to measure cortisol levels as an indicator of chronic stress. Stool samples were collected to assess the association of health outcomes like obesity with the gut microbiome. Considerable efforts were undertaken to ensure standardisation of sample collection procedures as well as pre-analytics, shipment, storage and laboratory analysis across all eight countries. Sample collection and processing were usually done outside a clinical setting, often in temporary recruitment centres set up for the study in schools or kindergartens. In order to ensure a fail-safe fieldwork and to optimise compliance by participating children, robust and minimally invasive procedures were deployed despite their higher costs as compared to procedures commonly used in a clinical setting, e.g. a point-of-care analyser requiring only one drop of capillary blood. Quality management included the provision of detailed standard operating procedures (SOPs) to the field staff, central training, several quality control measures including site visits, establishment of a central biorepository, choice of a central certified clinical laboratory and documentation of all process steps from collection to analysis in a central laboratory information system. By collecting and analysing biological samples in a large and diverse group of small children from all over Europe, the study did not only provide important insights into the aetiology of diet- and lifestyle-related disorders and it also generated population-based, age-specific reference values obtained from healthy children that will help to improve paediatric practice in the future.

Notes

Acknowledgements

The development of instruments, the baseline data collection and the first follow-up work as part of the IDEFICS study (www.idefics.eu) were financially supported by the European Commission within the Sixth RTD Framework Programme Contract No. 016181 (FOOD). The most recent follow-up including the development of new instruments and the adaptation of previously used instruments was conducted in the framework of the I.Family study (www.ifamilystudy.eu) which was funded by the European Commission within the Seventh RTD Framework Programme Contract No. 266044 (KBBE 2010–14).

We thank all families for participating in the extensive examinations of the IDEFICS and I.Family studies. We are also grateful for the support from school boards, headmasters and communities.

We greatly appreciate the input of the following colleagues: Dr. Robert Scott and Dr. Yannis Pitsiladis from the Faculty of Biomedical and Life Sciences, University of Glasgow, Scotland, Dr. Alfonso Siani from Institute of Food Sciences, CNR, Avellino, Italy, and Dr. Arno Fraterman from Laboratoriumsmedizin Dr. Eberhard und Partner, Dortmund, Germany.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jenny Peplies
    • 1
    Email author
  • Kathrin Günther
    • 2
  • Andrea Gottlieb
    • 3
  • Annette Lübke
    • 4
  • Karin Bammann
    • 1
  • Wolfgang Ahrens
    • 2
    • 5
  1. 1.Working Group Epidemiology of Demographic Change, Institute for Public Health and Nursing Research (IPP)University of BremenBremenGermany
  2. 2.Leibniz Institute for Prevention Research and Epidemiology—BIPSBremenGermany
  3. 3.Unit 12 “Research Services”, Academic AffairsUniversity of BremenBremenGermany
  4. 4.Zentrum Für Netze (ZfN)University of BremenBremenGermany
  5. 5.Faculty of Mathematics and Computer ScienceUniversity of BremenBremenGermany

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