Multilevel synchronization of human β-cells networks
β-cells within the endocrine pancreas are fundamental for glucose, lipid and protein homeostasis. Gap junctions between cells constitute the primary coupling mechanism through which cells synchronize their electrical and metabolic activities. This evidence is still only partially investigated throug...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-09-01
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Series: | Frontiers in Network Physiology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnetp.2023.1264395/full |
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author | Nicole Luchetti Nicole Luchetti Simonetta Filippi Simonetta Filippi Simonetta Filippi Alessandro Loppini Alessandro Loppini |
author_facet | Nicole Luchetti Nicole Luchetti Simonetta Filippi Simonetta Filippi Simonetta Filippi Alessandro Loppini Alessandro Loppini |
author_sort | Nicole Luchetti |
collection | DOAJ |
description | β-cells within the endocrine pancreas are fundamental for glucose, lipid and protein homeostasis. Gap junctions between cells constitute the primary coupling mechanism through which cells synchronize their electrical and metabolic activities. This evidence is still only partially investigated through models and numerical simulations. In this contribution, we explore the effect of combined electrical and metabolic coupling in β-cell clusters using a detailed biophysical model. We add heterogeneity and stochasticity to realistically reproduce β-cell dynamics and study networks mimicking arrangements of β-cells within human pancreatic islets. Model simulations are performed over different couplings and heterogeneities, analyzing emerging synchronization at the membrane potential, calcium, and metabolites levels. To describe network synchronization, we use the formalism of multiplex networks and investigate functional network properties and multiplex synchronization motifs over the structural, electrical, and metabolic layers. Our results show that metabolic coupling can support slow wave propagation in human islets, that combined electrical and metabolic synchronization is realized in small aggregates, and that metabolic long-range correlation is more pronounced with respect to the electrical one. |
first_indexed | 2024-03-11T22:35:22Z |
format | Article |
id | doaj.art-ec8a4d1be51246c69f9a83a6bc675519 |
institution | Directory Open Access Journal |
issn | 2674-0109 |
language | English |
last_indexed | 2024-03-11T22:35:22Z |
publishDate | 2023-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Network Physiology |
spelling | doaj.art-ec8a4d1be51246c69f9a83a6bc6755192023-09-22T16:14:15ZengFrontiers Media S.A.Frontiers in Network Physiology2674-01092023-09-01310.3389/fnetp.2023.12643951264395Multilevel synchronization of human β-cells networksNicole Luchetti0Nicole Luchetti1Simonetta Filippi2Simonetta Filippi3Simonetta Filippi4Alessandro Loppini5Alessandro Loppini6Center for Life Nano and Neuro-Science, Istituto Italiano di Tecnologia, Rome, ItalyEngineering Department, Università Campus Bio-Medico di Roma, Rome, ItalyEngineering Department, Università Campus Bio-Medico di Roma, Rome, ItalyNational Institute of Optics, National Research Council, Florence, ItalyInternational Center for Relativistic Astrophysics Network, Pescara, ItalyCenter for Life Nano and Neuro-Science, Istituto Italiano di Tecnologia, Rome, ItalyEngineering Department, Università Campus Bio-Medico di Roma, Rome, Italyβ-cells within the endocrine pancreas are fundamental for glucose, lipid and protein homeostasis. Gap junctions between cells constitute the primary coupling mechanism through which cells synchronize their electrical and metabolic activities. This evidence is still only partially investigated through models and numerical simulations. In this contribution, we explore the effect of combined electrical and metabolic coupling in β-cell clusters using a detailed biophysical model. We add heterogeneity and stochasticity to realistically reproduce β-cell dynamics and study networks mimicking arrangements of β-cells within human pancreatic islets. Model simulations are performed over different couplings and heterogeneities, analyzing emerging synchronization at the membrane potential, calcium, and metabolites levels. To describe network synchronization, we use the formalism of multiplex networks and investigate functional network properties and multiplex synchronization motifs over the structural, electrical, and metabolic layers. Our results show that metabolic coupling can support slow wave propagation in human islets, that combined electrical and metabolic synchronization is realized in small aggregates, and that metabolic long-range correlation is more pronounced with respect to the electrical one.https://www.frontiersin.org/articles/10.3389/fnetp.2023.1264395/fullfunctional networksmultiplexmetabolic couplingcalcium waveburstingslow oscillations |
spellingShingle | Nicole Luchetti Nicole Luchetti Simonetta Filippi Simonetta Filippi Simonetta Filippi Alessandro Loppini Alessandro Loppini Multilevel synchronization of human β-cells networks Frontiers in Network Physiology functional networks multiplex metabolic coupling calcium wave bursting slow oscillations |
title | Multilevel synchronization of human β-cells networks |
title_full | Multilevel synchronization of human β-cells networks |
title_fullStr | Multilevel synchronization of human β-cells networks |
title_full_unstemmed | Multilevel synchronization of human β-cells networks |
title_short | Multilevel synchronization of human β-cells networks |
title_sort | multilevel synchronization of human β cells networks |
topic | functional networks multiplex metabolic coupling calcium wave bursting slow oscillations |
url | https://www.frontiersin.org/articles/10.3389/fnetp.2023.1264395/full |
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