Evidence map›Paper›PMID 32293140›Full record

ArticleAdvanced biosystems2020

In Vitro Platform for Studying Human Insulin Release Dynamics of Single Pancreatic Islet Microtissues at High Resolution.

Patrick M Misun, Burçak Yesildag, Felix Forschler, Aparna Neelakandhan, Nassim Rousset, Adelinn Biernath, Andreas Hierlemann, Olivier Frey

Abstract read
In one paragraph

Article in Advanced biosystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  19. Frontiers in endocrinology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Patrick M MisunBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID 0000-0003-1050-5742
Burçak YesildagInSphero AG, Wagistrasse 27, 8952, Schlieren, Switzerland.
Felix ForschlerBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.
Aparna NeelakandhanInSphero AG, Wagistrasse 27, 8952, Schlieren, Switzerland.
Nassim RoussetBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.
Adelinn BiernathInSphero AG, Wagistrasse 27, 8952, Schlieren, Switzerland.
Andreas HierlemannBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID 0000-0002-3838-2468
Olivier FreyBio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID 0000-0002-4259-3751

Funding

Swiss National Science Foundation 166329
6 · The paper itself

Abstract

Insulin is released from pancreatic islets in a biphasic and pulsatile manner in response to elevated glucose levels. This highly dynamic insulin release can be studied in vitro with islet perifusion assays. Herein, a novel platform to perform glucose-stimulated insulin secretion (GSIS) assays with single islets is presented for studying the dynamics of insulin release at high temporal resolution. A standardized human islet model is developed and a microfluidic hanging-drop-based perifusion system is engineered, which facilitates rapid glucose switching, minimal sample dilution, low analyte dispersion, and short sampling intervals. Human islet microtissues feature robust and long-term glucose responsiveness and demonstrate reproducible dynamic GSIS with a prominent first phase and a sustained, pulsatile second phase. Perifusion of single islet microtissues produces a higher peak secretion rate, higher secretion during the first and second phases of insulin release, as well as more defined pulsations during the second phase in comparison to perifusion of pooled islets. The developed platform enables to study compound effects on both phases of insulin secretion as shown with two classes of insulin secretagogs. It provides a new tool for studying physiologically relevant dynamic insulin secretion at comparably low sample-to-sample variation and high temporal resolution.

Indexed as

Islets of LangerhansModels, BiologicalDiabetes Mellitus, Type 2Drug DiscoveryExenatideGlucoseHumansHypoglycemic AgentsInsulinMicrofluidic Analytical TechniquesTissue Array AnalysisTolbutamideExenatideGlucoseHypoglycemic AgentsInsulinTolbutamidediabetesglucose-stimulated insulin secretionhanging-dropsorgan on chippancreatic islets

Identifiers

PMID32293140
PMCPMC7610574

What Socratic holds

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Read underepoch 390

Registered trials

None linked

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 Socratic graph.