Evidence map›Paper›PMID 26613896›Full record

ArticleDiabetologia2016

Longitudinal three-dimensional visualisation of autoimmune diabetes by functional optical coherence imaging.

Corinne Berclaz, Anja Schmidt-Christensen, Daniel Szlag, Jerome Extermann, Lisbeth Hansen, Arno Bouwens, Martin Villiger, Joan Goulley, Frans Schuit, Anne Grapin-Botton and 2 more

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In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

12 authors.

Corinne BerclazLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Anja Schmidt-ChristensenEMV - Immunology, Lund University, BMC, D14, 221 84, Lund, Sweden.
Daniel SzlagLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Jerome ExtermannLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Lisbeth HansenEMV - Immunology, Lund University, BMC, D14, 221 84, Lund, Sweden.
Arno BouwensLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Martin VilligerLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland.
Joan GoulleySwiss Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Frans SchuitGene Expression Unit, Department of Molecular and Cellular Medicine, Katholieke Universiteit Leuven, Leuven, Belgium.
Anne Grapin-BottonDanStem, University of Copenhagen, Copenhagen, Denmark.
Theo LasserLaboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH1015, Lausanne, Switzerland. theo.lasser@epfl.ch.
Dan HolmbergEMV - Immunology, Lund University, BMC, D14, 221 84, Lund, Sweden. dan.holmberg@med.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisIt is generally accepted that structural and functional quantitative imaging of individual islets would be beneficial to elucidate the pathogenesis of type 1 diabetes. We here introduce functional optical coherence imaging (FOCI) for fast, label-free monitoring of beta cell destruction and associated alterations of islet vascularisation.

methodsNOD mouse and human islets transplanted into the anterior chamber of the eye (ACE) were imaged with FOCI, in which the optical contrast of FOCI is based on intrinsic variations of the index of refraction resulting in a faster tomographic acquisition. In addition, the phase sensitivity allows simultaneous label-free acquisition of vascularisation.

resultsWe demonstrate that FOCI allows longitudinal quantification of progressive autoimmune insulitis, including the three-dimensional quantification of beta cell volume, inflammation and vascularisation. The substantially increased backscattering of islets is dominated by the insulin-zinc nanocrystals in the beta cell granules. This translates into a high specificity for the functional beta cell volume of islets. Applying FOCI to a spontaneous mouse model of type 1 diabetes, we quantify the modifications of the pancreatic microvasculature accompanying the progression of diabetes and reveal a strong correlation between increasing insulitis and density of the vascular network of the islet. CONCLUSIONS/

interpretationFOCI provides a novel imaging technique for investigating functional and structural diabetes-induced alterations of the islets. The label-free detection of beta cell volume and infiltration together with vascularisation offers a unique extension to study ACE-transplanted human islets. These results are contributing to a deeper understanding of human islet transplant rejection and label-free in vivo monitoring of drug efficacy.

Indexed as

AnimalsDiabetes Mellitus, Type 1Disease Models, AnimalGenotypeHumansInsulin-Secreting CellsIslets of LangerhansIslets of Langerhans TransplantationMiceMice, Inbred C57BLMice, Inbred NODMice, Knockout3D visualisationBeta cell volumeHuman isletsInflammationLabel-freeLongitudinalNOD mouseNon-invasiveOCMQuantificationVasculature

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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.