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Title:From isles of Königsberg to islets of Langerhans: examining the function of the endocrine pancreas through network science
Authors:ID Stožer, Andraž (Author)
ID Šterk, Marko (Author)
ID Paradiž, Eva (Author)
ID Markovič, Rene (Author)
ID Skelin, Maša (Author)
ID Ellis, Cara E. (Author)
ID Križančić Bombek, Lidija (Author)
ID Dolenšek, Jurij (Author)
ID MacDonald, Patrick E. (Author)
ID Gosak, Marko (Author)
Files:.pdf RAZ_Stozer_Andraz_2022.pdf (14,78 MB)
MD5: DF66E79B2D022E2280B24221D86DF230
 
URL https://doi.org/10.3389/fendo.2022.922640
 
Language:English
Work type:Scientific work
Typology:1.02 - Review Article
Organization:MF - Faculty of Medicine
FNM - Faculty of Natural Sciences and Mathematics
Abstract:Islets of Langerhans are multicellular microorgans located in the pancreas that play a central role in whole-body energy homeostasis. Through secretion of insulin and other hormones they regulate postprandial storage and interprandial usage of energy-rich nutrients. In these clusters of hormone-secreting endocrine cells, intricate cell-cell communication is essential for proper function. Electrical coupling between the insulin-secreting beta cells through gap junctions composed of connexin36 is particularly important, as it provides the required, most important, basis for coordinated responses of the beta cell population. The increasing evidence that gap-junctional communication and its modulation are vital to well-regulated secretion of insulin has stimulated immense interest in how subpopulations of heterogeneous beta cells are functionally arranged throughout the islets and how they mediate intercellular signals. In the last decade, several novel techniques have been proposed to assess cooperation between cells in islets, including the prosperous combination of multicellular imaging and network science. In the present contribution, we review recent advances related to the application of complex network approaches to uncover the functional connectivity patterns among cells within the islets. We first provide an accessible introduction to the basic principles of network theory, enumerating the measures characterizing the intercellular interactions and quantifying the functional integration and segregation of a multicellular system. Then we describe methodological approaches to construct functional beta cell networks, point out possible pitfalls, and specify the functional implications of beta cell network examinations. We continue by highlighting the recent findings obtained through advanced multicellular imaging techniques supported by network-based analyses, giving special emphasis to the current developments in both mouse and human islets, as well as outlining challenges offered by the multilayer network formalism in exploring the collective activity of islet cell populations. Finally, we emphasize that the combination of these imaging techniques and network-based analyses does not only represent an innovative concept that can be used to describe and interpret the physiology of islets, but also provides fertile ground for delineating normal from pathological function and for quantifying the changes in islet communication networks associated with the development of diabetes mellitus.
Keywords:pancreatic islets, beta cells, calcium imaging, intercellular communication, functional networks, multilayer networks
Publication status:Published
Publication version:Version of Record
Submitted for review:18.04.2022
Article acceptance date:16.05.2022
Publication date:15.06.2022
Year of publishing:2022
Number of pages:Str. 1-28
Numbering:Letn. 13
PID:20.500.12556/DKUM-88645 New window
UDC:616.379
ISSN on article:1664-2392
COBISS.SI-ID:112192515 New window
DOI:10.3389/fendo.2022.922640 New window
Publication date in DKUM:20.12.2024
Views:0
Downloads:90
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Frontiers in endocrinology
Publisher:Frontiers Research Foundation
ISSN:1664-2392
COBISS.SI-ID:3340154 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0396-2019
Name:Celične in tkivne mreže

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0055-2022
Name:Biofizika polimerov, membran, gelov, koloidov in celic

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:I0-0029-2022
Name:Infrastrukturna dejavnost Univerze v Mariboru

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-3077-2021
Name:Analiza kolektivne celične aktivnosti v normalnih in diabetičnih pankreatičnih otočkih sprincipi večplastnih mrež

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-9289-2018
Name:Vloga cikličnega adenozin monofosfata v normalni fiziologiji celic beta in med razvojem sladkorne bolezni tipa 2

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N3-0048-2016
Name:Vloga ionskih kanalov TRPM3 in TRPM5 pri uravnavanju mrežne aktivnosti v otočkih trebušne slinavke

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N3-0170-2021
Name:Pomen povezav med eksokrinim in endokrinim delom trebušne slinavke v zdravju in bolezni

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N3-0133-2020
Name:Celice beta med razvojem in remisijo z dieto povzročene sladkorne bolezni

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:15.06.2022

Secondary language

Language:Slovenian
Keywords:otočki trebušne slinavke, beta celice, slikanje s kalcijem, medcelična komunikacija, funkcionalna omrežja, večplastna omrežja


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