A Call for Improved Reporting of Human Islet Characteristics in Research Articles

Poitout, Vincent; Satin, Leslie S.; Kahn, Steven E.; Marchetti, Piero; Gannon, Maureen; Verchere, C. Bruce; Herold, Kevan C.; Myers, Martin G.; Marshall, Sally M.

doi:10.2337/dbi18-0055

Cited by 29 publications

(22 citation statements)

References 8 publications

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“…Despite efforts to standardize the protocols for the isolation and assessment of human islets, the overall quality of islet preparations and the reported characteristics of these islets can be highly variable. These variations contribute to differences in clinical outcomes after transplantation and difficulties in interpreting and comparing data across different research studies [64,131,132]. Therefore, emphasis should be placed on developing more sophisticated standards and criteria to standardize the isolation procedures and assessment metrics [131], and to establish larger collaborative multi-center networks around core islet isolation facilities, in order to circumvent the inconsistency issues [22].…”

Section: Discussionmentioning

confidence: 99%

“…These variations contribute to differences in clinical outcomes after transplantation and difficulties in interpreting and comparing data across different research studies [64,131,132]. Therefore, emphasis should be placed on developing more sophisticated standards and criteria to standardize the isolation procedures and assessment metrics [131], and to establish larger collaborative multi-center networks around core islet isolation facilities, in order to circumvent the inconsistency issues [22]. Such efforts will encourage more collaborative studies and enable human islet experiments to be validated across multiple centers [133].…”

Section: Discussionmentioning

confidence: 99%

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Human Islet Isolation and Distribution Efforts for Clinical and Basic Research

Ng¹,

Wei²,

Koh³

et al. 2019

obm transplant

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The ability to routinely and reproducibly obtain purified human islets has facilitated substantial progress in providing a safe and reliable treatment option for adult patients of type 1 diabetes. The availability of human islets for basic research has also significantly improved the understanding of the biology of human islets, and consequently the pathophysiology of diabetes. Presently, about 70 human islet isolation centers are known to exist around the world, in addition to multiple coordinated human islet distribution programs, that facilitate the exchange of knowledge and sharing of this precious resource. This review summarizes the steps involved in the isolation and dissemination of human islets, and discusses key considerations with respect to the major challenges faced during this

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Human Islet Isolation and Distribution Efforts for Clinical and Basic Research

Ng¹,

Wei²,

Koh³

et al. 2019

obm transplant

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“…In total, 61 islet batches met the inclusion criteria. Standardized characteristics, consistent with the recommendations of Diabetes and Diabetologia 13 , 14 , are summarized for donors and islets used in this study in supplemental Table 1. After isolation, islets were cultured in PIM-R culture medium (PRODO Laboratories, Aliso Viejo, CA, USA) until they were distributed for analyses.…”

Section: Methodsmentioning

confidence: 99%

Semi-Automated Assessment of Human Islet Viability Predicts Transplantation Outcomes in a Diabetic Mouse Model

et al. 2020

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In clinical and experimental human pancreatic islet transplantations, establishing pretransplant assessments that accurately predict transplantation outcomes is crucial. Conventional in vitro viability assessment that relies on manual counting of viable islets is a routine pretransplant assessment. However, this method does not correlate with transplantation outcomes; to improve the method, we recently introduced a semi-automated method using imaging software to objectively determine area-based viability. The goal of the present study was to correlate semi-automated viability assessment with posttransplantation outcomes of human islet transplantations in diabetic immunodeficient mice, the gold standard for in vivo functional assessment of isolated human islets. We collected data from 61 human islet isolations and 188 subsequent in vivo mouse transplantations. We assessed islet viability by fluorescein diacetate and propidium iodide staining using both the conventional and semi-automated method. Transplantations of 1,200 islet equivalents under the kidney capsule were performed in streptozotocin-induced diabetic immunodeficient mice. Among the pretransplant variables, including donor factors and post-isolation assessments, viability measured using the semi-automated method demonstrated a strong influence on in vivo islet transplantation outcomes in multivariate analysis. We calculated an optimized cutoff value (96.1%) for viability measured using the semi-automated method and showed a significant difference in diabetes reversal rate for islets with viability above this cutoff (77% reversal) vs. below this cutoff (49% reversal). We performed a detailed analysis to show that both the objective measurement and the improved area-based scoring system, which distinguished between small and large islets, were key features of the semi-automated method that allowed for precise evaluation of viability. Taken together, our results suggest that semi-automated viability assessment offers a promising alternative pretransplant assessment over conventional manual assessment to predict human islet transplantation outcomes.

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“…The National Institutes of Health (NIH) led the way in this conversation with issuance of the NIH guidelines for rigor 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 copublished in Diabetes and Diabetologia by Poitout et al ( 4 , 5 ) highlighted the need for improved standardization of human islet data and its reporting in scientific publications. Diabetologia and Diabetes have initiated a checklist that is now required at the time of manuscript submission.…”

mentioning

confidence: 99%