The Integrated Islet Distribution Program answers the call for improved human islet phenotyping and reporting of human islet characteristics in research articles

  • Marcela Brissova
  • Joyce C. NilandEmail author
  • James Cravens
  • Barbara Olack
  • Janice Sowinski
  • Carmella Evans-MolinaEmail author

To the Editor: In recent years, the need for enhanced rigour, reproducibility and transparency in biomedical research has been the topic of much discussion. The National Institutes of Health (NIH) led the way in this conversation with issuance of the NIH guidelines for rigour and reproducibility, which have been mandated for all grant applications since 2016 [1, 2]. In support of this initiative, a recent review article by Hart and Powers, published in Diabetologia [3], with an accompanying editorial co-published in Diabetes and Diabetologia by Poitout et al [4, 5] highlighted the need for improved standardisation of human islet data and its reporting in scientific publications. Diabetologia and Diabeteshave initiated a checklist that is now required at the time of manuscript submission. At a minimum, the source and isolation centre, a unique identifier number for each human islet preparation, and key demographic/clinical data must be included. Although not mandatory, the editorial...


Diabetes Glucagon Human pancreatic islets Insulin Phenotyping Reproducibility Rigour 



Human Islet Phenotyping Program


Integrated Islet Distribution Program


National Institutes of Health



The authors would like to acknowledge R. Aramandla, V. DiBacco, H. Durai, A. Coldren, S. Mei, G. Poffenberger and C. Reihsmann at the Vanderbilt University Medical Center, for their assistance with the development of HIPP workflows and the design of the IIDP–HIPP database. The authors acknowledge J.-N. Chuang (Database Administrator), and M. Pineda and H. Sibley (Senior Software Developers), all from the Department of Diabetes & Cancer Discovery Science, Diabetes and Metabolism Research Institute, City of Hope, for their work in developing the IIDP–HIPP database and the Islet Data Checklist for Publication. In addition, the authors would like to acknowledge K. Abraham (Project Scientist for the IIDP) of NIDDK, for her advice and guidance on this project.

Contribution statement

All authors were responsible for drafting the article and revising it critically for important intellectual content. All authors approved the version to be published.


The Integrated Islet Distribution Program is funded by the NIDDK (UC4DK098085) with additional support from JDRF (1-RSC-2019-712-S-B). The authors also acknowledge support from the Vanderbilt Diabetes Research and Training Center (DK020593) in providing resources, core infrastructure and support for HIPP-related activities.

Duality of interest

The authors declare that there is no duality of interest associated with this manuscript.


  1. 1.
    Collins FS, Tabak LA (2014) Policy: NIH plans to enhance reproducibility. Nature 505(7485):612–613. CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    National Institutes of Health. Rigor and reproducibility. Available from Accessed 4 Apr 2019
  3. 3.
    Hart NJ, Powers AC (2019) Use of human islets to understand islet biology and diabetes: progress, challenges and suggestions. Diabetologia 62(2):212–222. CrossRefPubMedGoogle Scholar
  4. 4.
    Poitout V, Satin LS, Kahn SE et al (2019) A call for improved reporting of human islet characteristics in research articles. Diabetes 68(2):239–240. CrossRefPubMedGoogle Scholar
  5. 5.
    Poitout V, Satin LS, Kahn SE et al (2019) A call for improved reporting of human islet characteristics in research articles. Diabetologia 62(2):209–211. CrossRefPubMedGoogle Scholar
  6. 6.
    Kaddis JS, Olack BJ, Sowinski J, Cravens J, Contreras JL, Niland JC (2009) Human pancreatic islets and diabetes research. 301(15):1580–1587. CrossRefGoogle Scholar
  7. 7.
    Kaddis JS, Hanson MS, Cravens J et al (2013) Standardized transportation of human islets: an islet cell resource center study of more than 2,000 shipments. Cell Transplant 22(7):1101–1111. CrossRefPubMedGoogle Scholar
  8. 8.
    Niland JC, Stiller T, Cravens J, Sowinski J, Kaddis J, Qian D (2010) Effectiveness of a web-based automated cell distribution system. Cell Transplant 19(9):1133–1142. CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Bandrowski A, Brush M, Grethe JS et al (2016) The resource identification initiative: a cultural shift in publishing. Neuroinformatics 14(2):169–182. CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Medicine, Division of Diabetes, Endocrinology, and MetabolismVanderbilt University Medical CenterNashvilleUSA
  2. 2.Department of Diabetes and Cancer Discovery ScienceDiabetes and Metabolism Research Institute at City of HopeDuarteUSA
  3. 3.Department of MedicineIndiana University School of MedicineIndianapolisUSA
  4. 4.Roudebush VA Medical CenterIndianapolisUSA

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