Literature DB >> 30455181

Probing insulin secretion with a new tool.

Caitlin Sedwick.   

Abstract

JGP study explains how chromomycin A2 affects insulin secretion.
© 2018 Sedwick.

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Year:  2018        PMID: 30455181      PMCID: PMC6279365          DOI: 10.1085/jgp.201812283

Source DB:  PubMed          Journal:  J Gen Physiol        ISSN: 0022-1295            Impact factor:   4.086


Glucose is a primary source for cellular energy, but chronic exposure to elevated glucose is toxic for cells. Pancreatic β cells respond to spikes in blood glucose levels by secreting insulin, a hormone that instructs other body cells to take up and metabolize the sugar. Impaired insulin secretion or loss of β cells can cause diabetes, a disease that in 2017 affected almost 10% of US adults (1). The pathways regulating insulin secretion have been intensively studied but are still not fully understood. In their new JGP paper, Kalwat et al. present their insights on how the compound chromomycin A2 (CMA2) affects β-cell insulin secretion—findings that could lead to better understanding of this important process (2). Studies by Michael Kalwat (left) and colleagues (not shown) on how the natural product chromomycin A2 inhibits insulin secretion by pancreatic β cells (see graph) may help identify new positive regulatory pathways involved in this process. Photo courtesy of the author. β-cell insulin secretion is regulated through two major pathways, both stimulated by the products of glucose metabolism. In the triggering pathway, which is fairly well studied, glucose metabolism generates ATP that ultimately spurs opening of plasma membrane calcium channels, thereby prompting the release (via exocytosis) of insulin-containing vesicles. The other pathway driving insulin secretion, the amplifying pathway, is more mysterious (3). “The amplifying pathway generates a host of metabolic intermediates that increase the amount of insulin a β cell secretes in response to a calcium signal,” explains Michael Kalwat, an instructor at the University of Texas Southwestern. “This can account for almost half of the insulin that’s secreted.” Seeking new tools to study this process, Kalwat conducted a high-throughput screen to identify compounds that affect β-cell insulin secretion (4). One of the strongest hits from the screen was CMA2, a member of the aureolic acid family produced by the marine bacterium Streptomyces anulatus. CMA2 potently inhibits insulin secretion, so it would not be therapeutically useful in treating diabetic disease that results from impaired insulin secretion. “But,” notes Kalwat, “whatever you find about how that inhibitor works could point you toward discovering a novel positive regulatory pathway.” Kalwat et al. found that although short-term exposure (1–2 h) to CMA2 did not impact insulin secretion, prolonged treatment (24 h) blocked insulin secretion from both isolated β cells and intact human islets. But CMA2 did not prevent insulin production, nor did it affect glucose-stimulated calcium influx, even after 24 h. Instead, 24 h exposure to CMA2 altered the expression of several β-cell genes, suggesting that a large part of CMA2’s effect on insulin secretion might be attributable to its impacts on gene expression. Surprisingly, the closely related compound mithramycin, which can also alter gene expression in cells, was ∼50 times less effective in blocking insulin secretion compared with CMA2. CMA2 affects a long list of genes, so to help focus their inquiries, Kalwat et al. used the Fusion database, which links natural products like CMA2 with the genes whose expression they modulate, and clusters those genes into functional groups (5). Consistent with prior studies (6), the analysis suggested CMA2 might affect expression of genes in the β-catenin/Wnt signaling pathway, which is known to be important for insulin secretion. Experiments conducted by Kalwat et al. confirmed that CMA2 indeed disrupts signaling by the β-catenin/Wnt signaling pathway. The authors’ results suggest that CMA2 may affect the expression of genes involved in both the triggering and amplifying insulin secretion pathways. This may include targets associated with mitogen-activated protein kinase signaling, S6 phosphorylation, β-catenin/Wnt, and possibly even exocytosis, although the data do not rule out potential interactions with protein targets. Currently, Kalwat is pursuing RNA sequencing analysis to identify which genes are uniquely affected by CMA2 compared with mithramycin. He says, “I anticipate that this data will lead to new knowledge about β-cell function.”
  5 in total

1.  Using functional signature ontology (FUSION) to identify mechanisms of action for natural products.

Authors:  Malia B Potts; Hyun Seok Kim; Kurt W Fisher; Youcai Hu; Yazmin P Carrasco; Gamze Betul Bulut; Yi-Hung Ou; Mireya L Herrera-Herrera; Federico Cubillos; Saurabh Mendiratta; Guanghua Xiao; Matan Hofree; Trey Ideker; Yang Xie; Lily Jun-shen Huang; Robert E Lewis; John B MacMillan; Michael A White
Journal:  Sci Signal       Date:  2013-10-15       Impact factor: 8.192

Review 2.  Mechanisms of the amplifying pathway of insulin secretion in the β cell.

Authors:  Michael A Kalwat; Melanie H Cobb
Journal:  Pharmacol Ther       Date:  2017-05-18       Impact factor: 12.310

3.  Insulin promoter-driven Gaussia luciferase-based insulin secretion biosensor assay for discovery of β-cell glucose-sensing pathways.

Authors:  Michael A Kalwat; Chonlarat Wichaidit; Alejandra Y Nava Garcia; Melissa K McCoy; Kathleen McGlynn; In Hyun Hwang; John B MacMillan; Bruce A Posner; Melanie H Cobb
Journal:  ACS Sens       Date:  2016-10-12       Impact factor: 7.711

4.  Chromomycins A2 and A3 from marine actinomycetes with TRAIL resistance-overcoming and Wnt signal inhibitory activities.

Authors:  Kazufumi Toume; Kentaro Tsukahara; Hanako Ito; Midori A Arai; Masami Ishibashi
Journal:  Mar Drugs       Date:  2014-06-05       Impact factor: 5.118

5.  Chromomycin A2 potently inhibits glucose-stimulated insulin secretion from pancreatic β cells.

Authors:  Michael A Kalwat; In Hyun Hwang; Jocelyn Macho; Magdalena G Grzemska; Jonathan Z Yang; Kathleen McGlynn; John B MacMillan; Melanie H Cobb
Journal:  J Gen Physiol       Date:  2018-10-23       Impact factor: 4.086

  5 in total

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