Usage Information
Citation Information: JCI Insight. 2019;4(21):e124644. https://doi.org/10.1172/jci.insight.124644.
Abstract
Islet transplantation is an effective therapy for achieving and maintaining normoglycemia in patients with type 1 diabetes mellitus. However, the supply of transplantable human islets is limited. Upon removal from the pancreas, islets rapidly disintegrate and lose function, resulting in a short interval for studies of islet biology and pretransplantation assessment. Here, we developed a biomimetic platform that can sustain human islet physiology for a prolonged period ex vivo. Our approach involved the creation of a multichannel perifusion system to monitor dynamic insulin secretion and intracellular calcium flux simultaneously, enabling the systematic evaluation of glucose-stimulated insulin secretion under multiple conditions. Using this tool, we developed a nanofibrillar cellulose hydrogel–based islet-preserving platform (iPreP) that can preserve islet viability, morphology, and function for nearly 12 weeks ex vivo, and with the ability to ameliorate glucose levels upon transplantation into diabetic hosts. Our platform has potential applications in the prolonged maintenance of human islets, providing an expanded time window for pretransplantation assessment and islet studies.
Authors
Yi-Ju Chen, Taiji Yamazoe, Karla F. Leavens, Fabian L. Cardenas-Diaz, Andrei Georgescu, Dongeun Huh, Paul Gadue, Ben Z. Stanger
Usage data is cumulative from June 2021 through June 2022.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,099 | 114 |
| 85 | 22 | |
| Figure | 174 | 0 |
| Table | 17 | 0 |
| Supplemental data | 91 | 2 |
| Citation downloads | 31 | 0 |
| Totals | 1,497 | 138 |
| Total Views | 1,635 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
