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Usage Information

An orally available compound suppresses glucagon hypersecretion and normalizes hyperglycemia in type 1 diabetes
Farzad Asadi, Subhadra C. Gunawardana, Roland E. Dolle, David W. Piston
Farzad Asadi, Subhadra C. Gunawardana, Roland E. Dolle, David W. Piston
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Research Article Endocrinology

An orally available compound suppresses glucagon hypersecretion and normalizes hyperglycemia in type 1 diabetes

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Abstract

Suppression of glucagon hypersecretion can normalize hyperglycemia during type 1 diabetes (T1D). Activating erythropoietin-producing human hepatocellular receptor type-A4 (EphA4) on α cells reduced glucagon hypersecretion from dispersed α cells and T1D islets from both human donor and mouse models. We synthesized a high-affinity small molecule agonist for the EphA4 receptor, WCDD301, which showed robust plasma and liver microsome metabolic stability in both mouse and human preparations. In islets and dispersed islet cells from nondiabetic and T1D human donors, WCDD301 reduced glucagon secretion comparable to the natural EphA4 ligand, Ephrin-A5. In diabetic NOD and streptozotocin-treated mice, once-daily oral administration of WCDD301 formulated with a time-release excipient reduced plasma glucagon and normalized blood glucose for more than 3 months. These results suggest that targeting the α cell EphA4 receptor by sustained release of WCDD301 is a promising pharmacologic pathway for normalizing hyperglycemia in patients with T1D.

Authors

Farzad Asadi, Subhadra C. Gunawardana, Roland E. Dolle, David W. Piston

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 1,293 192
PDF 161 42
Figure 334 14
Supplemental data 83 1
Citation downloads 68 0
Totals 1,939 249
Total Views 2,188

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.

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