Evidence map›Paper›PMID 21263546›Full record

ArticleOptics express2011

Intrinsic optical signal imaging of glucose-stimulated insulin secreting β-cells.

Yi-Chao Li, Wan-Xing Cui, Xu-Jing Wang, Franklin Amthor, Rong-Wen Lu, Anthony Thompson, Xin-Cheng Yao

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. 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

7 authors at 1 institution in 1 country.

Yi-Chao LiDepartment of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Wan-Xing Cui
Xu-Jing Wang
Franklin Amthor
Rong-Wen Lu
Anthony Thompson
Xin-Cheng Yao
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
HORMONAL THERAPY TO INCREASE ISLET RECOVERY/ENGRAFTMENT FROM MULTIORGAN DONORSU42RR023246 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CONTRERAS, JUAN L · 2006 to 2008
$2.4M
Multifocal Optical Coherence MicroscopeR21RR025788 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YAO, XINCHENG · 2009 to 2010
$517k
NCRR NIH HHS 1R21RR025788-02NCRR NIH HHS 5-U-42-RR023246NCRR NIH HHS R21 RR025788NCRR NIH HHS U42 RR023246NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

Simultaneous monitoring of many functioning β-cells is essential for understanding β-cell dysfunction as an early event in the progression to diabetes. Intrinsic optical signal (IOS) imaging has been shown to allow high resolution detection of stimulus-evoked physiological responses in the retina and other neural tissues. In this paper, we demonstrate the feasibility of using IOS imaging for functional examination of insulin secreting INS-1 cells, a popular model for investigating diabetes associated β-cell dysfunction. Our experiments indicate that IOS imaging permits simultaneous monitoring of glucose-stimulated physiological responses in multiple cells with high spatial (sub-cellular) and temporal (sub-second) resolution. Rapid IOS image sequences revealed transient optical responses that had time courses tightly correlated with the glucose stimulation.

Indexed as

AnimalsCell LineDiagnostic ImagingGlucoseInfrared RaysInsulinInsulin-Secreting CellsInsulin SecretionOptical PhenomenaRatsSignal TransductionGlucoseInsulin

Identifiers

PMID21263546
PMCPMC3090649
OpenAlexW1984997555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.