| Title |
Beta cell connectivity in pancreatic islets: a type 2 diabetes target?
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, October 2014
|
| DOI | 10.1007/s00018-014-1755-4 |
| Pubmed ID | |
| Authors |
Guy A. Rutter, David J. Hodson |
| Abstract |
Beta cell connectivity describes the phenomenon whereby the islet context improves insulin secretion by providing a three-dimensional platform for intercellular signaling processes. Thus, the precise flow of information through homotypically interconnected beta cells leads to the large-scale organization of hormone release activities, influencing cell responses to glucose and other secretagogues. Although a phenomenon whose importance has arguably been underappreciated in islet biology until recently, a growing number of studies suggest that such cell-cell communication is a fundamental property of this micro-organ. Hence, connectivity may plausibly be targeted by both environmental and genetic factors in type 2 diabetes mellitus (T2DM) to perturb normal beta cell function and insulin release. Here, we review the mechanisms that contribute to beta cell connectivity, discuss how these may fail during T2DM, and examine approaches to restore insulin secretion by boosting cell communication. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 61 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 25% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Student > Postgraduate | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 25% |
| Medicine and Dentistry | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 11 | 17% |
| Unknown | 12 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2014.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,458
of 4,151 outputs
Outputs of similar age
#187,305
of 260,051 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#40
of 59 outputs
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