Evidence map›Paper›PMID 33090076›Full record

ArticleIslets2020

Reconstructing human pancreatic islet architectures using computational optimization.

Gerardo J Félix-Martínez, Aurelio N Mata, J Rafael Godínez-Fernández

Abstract read
In one paragraph

Article in Islets, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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  8. Article
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

3 authors.

Gerardo J Félix-MartínezCátedras CONACYT, Consejo Nacional de Ciencia y Tecnología , Mexico City, México.ORCID 0000-0001-8901-4836
Aurelio N MataDepartment of Electrical Engineering, Universidad Autónoma Metropolitana , Mexico City, México.ORCID 0000-0002-0684-2562
J Rafael Godínez-FernándezDepartment of Electrical Engineering, Universidad Autónoma Metropolitana , Mexico City, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We outline a general methodology based on computational optimization and experimental data to reconstruct human pancreatic islet architectures. By using the nuclei coordinates of islet cells obtained through DAPI staining, cell types identified by immunostaining, and cell size distributions estimated from capacitance measurements, reconstructed islets composed of non-overlapping spherical cells were obtained through an iterative optimization procedure. In all cases, the reconstructed architectures included >99% of the experimental identified cells, each of them having a radius within the experimentally reported ranges. Given the wide use of mathematical modeling for the study of pancreatic cells, and recently, of cell-cell interactions within the pancreatic islets, the methodology here proposed, also capable of identifying cell-to-cell contacts, is aimed to provide with a framework for modeling and analyzing experimentally-based pancreatic islet architectures.

Indexed as

Islets of LangerhansCell SizeHumansPancreasarchitectureisletsmodelingoptimizationpancreatic cells

Identifiers

PMID33090076
PMCPMC7751670

What Socratic holds

Textmetadata
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.