ArticleBiophysical journal2007
Insulin transport within skeletal muscle transverse tubule networks.
Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- Nanoparticle and microparticle-based systems for enhanced oral insulin delivery: A systematic review and meta-analysis.Journal of nanobiotechnology · 2024Pooled it
- Fabricating Microfluidic Co-Cultures of Immortalized Cell Lines Uncovers Robust Design Principles for the Simultaneous Formation of Patterned, Vascularized, and Stem Cell-Derived Adipose Tissue.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Intermittent Low-Magnitude Pressure Applied Across Macroencapsulation Devices Enables Physiological Insulin Delivery Dynamics.Diabetes · 2025Article
- A Case for Material Stiffness as a Design Parameter in Encapsulated Islet Transplantation.Tissue engineering. Part B, Reviews · 2023Review
- Collagen-Tannic Acid Spheroids for β-Cell Encapsulation Fabricated Using a 3D Bioprinter.Advanced materials technologies · 2022Article
- Shortcut Approaches to Substance Delivery into the Brain Based on Intranasal Administration Using Nanodelivery Strategies for Insulin.Molecules (Basel, Switzerland) · 2020Review
- Synchronized stimulation and continuous insulin sensing in a microfluidic human Islet on a Chip designed for scalable manufacturing.Lab on a chip · 2019Article
- Computational modeling of amylin-induced calcium dysregulation in rat ventricular cardiomyocytes.Cell calcium · 2018Article
- Article
- Multiscale Modeling of Antibody-Drug Conjugates: Connecting Tissue and Cellular Distribution to Whole Animal Pharmacokinetics and Potential Implications for Efficacy.The AAPS journal · 2016Article
- Quantifying the Influence of the Crowded Cytoplasm on Small Molecule Diffusion.The journal of physical chemistry. B · 2016Article
- Insulin- and contraction-induced glucose transporter 4 traffic in muscle: insights from a novel imaging approach.Exercise and sport sciences reviews · 2013Review
- Extracellular movement of signaling molecules.Developmental cell · 2011Review
- The accessibility and interconnectivity of the tubular system network in toad skeletal muscle.The Journal of physiology · 2008Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has recently been observed in situ in mice that insulin takes approximately 10 min to be transported 20 microm into the t-tubule networks of skeletal muscle fibers. The mechanisms for this slow transport are unknown. It has been suggested that the biochemical composition of the t-tubular space that may include large molecules acting as gels and increased viscosity in the narrow tubules may explain this slow diffusion. In this article, we construct a mathematical model of insulin transport within the t-tubule network to determine potential mechanisms responsible for this slow insulin transport process. Our model includes insulin diffusion, insulin binding to insulin receptors, t-tubule network tortuosity, interstitial fluid viscosity, hydrodynamic wall effects, and insulin receptor internalization and recycling. The model predicted that depending on fiber type there is a 2-15 min delay in the arrival time of insulin between the sarcolemma and inner t-tubules (located 20 microm from the sarcolemma) after insulin injection. This is consistent with the experimental data. Increased viscosity in the narrow t-tubules and large molecules acting as gels are not the primary mechanisms responsible for the slow insulin diffusion. The primary mechanisms responsible for the slow insulin transport are insulin binding to insulin receptors and network tortuosity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.