| Title: | Assessing different temporal scales of calcium dynamics in networks of beta cell populations |
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| Authors: | ID Zmazek, Jan (Author)
ID Skelin, Maša (Author)
ID Markovič, Rene (Author)
ID Dolenšek, Jurij (Author)
ID Marhl, Marko (Author)
ID Stožer, Andraž (Author)
ID Gosak, Marko (Author) |
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| Files: |  RAZ_Zmazek_Jan_2021.pdf (9,40 MB)
MD5: E1468A47227F021064C46CF0C9D6E9CC
 https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2021.612233/full
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
MF - Faculty of Medicine
FERI - Faculty of Electrical Engineering and Computer Science
PEF - Faculty of Education
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| Abstract: | Beta cells within the pancreatic islets of Langerhans respond to stimulation with coherent oscillations of membrane potential and intracellular calcium concentration that presumably drive the pulsatile exocytosis of insulin. Their rhythmic activity is multimodal, resulting from networked feedback interactions of various oscillatory subsystems, such as the glycolytic, mitochondrial, and electrical/calcium components.How these oscillatory modules interact and affect the collective cellular activity, which is a prerequisite for proper hormone release, is incompletely understood. In the present work, we combined advanced confocal Ca2+ imaging in fresh mouse pancreas tissue
slices with time series analysis and network science approaches to unveil the glucosedependent characteristics of different oscillatory components on both the intra- and inter-cellular level. Our results reveal an interrelationship between the metabolically driven low-frequency component and the electrically driven high-frequency component, with the latter exhibiting the highest bursting rates around the peaks of the slow
component and the lowest around the nadirs. Moreover, the activity, as well as the average synchronicity of the fast component, considerably increased with increasing stimulatory glucose concentration, whereas the stimulation level did not affect any of these parameters in the slow component domain. Remarkably, in both dynamical components, the average correlation decreased similarly with intercellular distance, which implies that intercellular communication affects the synchronicity of both types of oscillations. To explore the intra-islet synchronization patterns in more detail, we constructed functional connectivity maps. The subsequent comparison of network characteristics of different oscillatory components showed more locally clustered and segregated networks of fast oscillatory activity, while the slow oscillations were more global, resulting in several long-range connections and a more cohesive structure. Besides the structural differences, we found a relatively weak relationship between the fast and slow network layer, which suggests that different synchronization mechanisms
shape the collective cellular activity in islets, a finding which has to be kept in mind in future studies employing different oscillations for constructing networks. |
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| Keywords: | islets of Langerhans, beta cell network, calcium oscillations, multimodal activity analysis, confocal imaging, functional connectivity, multiplex network |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 30.09.2020 |
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| Article acceptance date: | 26.02.2021 |
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| Publication date: | 23.03.2021 |
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| Year of publishing: | 2021 |
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| Number of pages: | 16 str. |
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| Numbering: | Vol. 12 |
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| PID: | 20.500.12556/DKUM-89004  |
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| UDC: | 612.349.7 |
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| ISSN on article: | 1664-042X |
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| COBISS.SI-ID: | 56986115 |
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| DOI: | 10.3389/fphys.2021.612233 |
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| Publication date in DKUM: | 06.06.2024 |
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| Views: | 171 |
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| Downloads: | 6 |
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| Metadata: |    |
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| Categories: | Misc.
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