Evidence map›Paper›PMID 28605395›Full record

ArticlePloS one2017

Possible type 1 diabetes risk prediction: Using ultrasound imaging to assess pancreas inflammation in the inducible autoimmune diabetes BBDR model.

Frederick R Roberts, Clinton Hupple, Elaine Norowski, Nicole C Walsh, Natalia Przewozniak, Ken-Edwin Aryee, Filia M Van Dessel, Agata Jurczyk, David M Harlan, Dale L Greiner and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Detecting insulitis in type 1 diabetes with ultrasound phase-change contrast agents.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Article
  6. Article
  7. 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

12 authors at 2 institutions in 2 countries.

Frederick R RobertsFuJiFilm VisualSonics, Toronto, Ontario, Canada.
Clinton HuppleFuJiFilm VisualSonics, Toronto, Ontario, Canada.
Elaine NorowskiProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Nicole C WalshProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Natalia PrzewozniakProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Ken-Edwin AryeeProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Filia M Van DesselProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Agata JurczykProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
David M HarlanDepartment of Medicine, University of Massachusetts Medical School, Massachusetts, United States of America.
Dale L GreinerProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Rita BortellProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Chaoxing YangProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.ORCID http://orcid.org/0000-0003-3250-314X
University of Massachusetts Chan Medical School · USFujiFilm VisualSonics (Canada) · CA

Funding

Humanized Mouse Avatars for T1DUC4DK104218 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BREHM, MICHAEL ALLEN, DALEY, GEORGE Q · 2014 to 2014
$4.1M
Stage-specific Beta Cell Response and Biomarker Profile During Virus-induced T1DR01DK105837 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GREINER, DALE LESLIE, HARLAN, DAVID MARSHALL · 2016 to 2019
$1.5M
NIDDK NIH HHS R01 DK105837NIDDK NIH HHS UC4 DK104218
6 · The paper itself

Abstract

BACKGROUND/

aimsStudies of human cadaveric pancreas specimens indicate that pancreas inflammation plays an important role in type 1 diabetes pathogenesis. Due to the inaccessibility of pancreas in living patients, imaging technology to visualize pancreas inflammation is much in need. In this study, we investigated the feasibility of utilizing ultrasound imaging to assess pancreas inflammation longitudinally in living rats during the progression leading to type 1 diabetes onset.

methodsThe virus-inducible BBDR type 1 diabetes rat model was used to systematically investigate pancreas changes that occur prior to and during development of autoimmunity. The nearly 100% diabetes incidence upon virus induction and the highly consistent time course of this rat model make longitudinal imaging examination possible. A combination of histology, immunoblotting, flow cytometry, and ultrasound imaging technology was used to identify stage-specific pancreas changes.

resultsOur histology data indicated that exocrine pancreas tissue of the diabetes-induced rats underwent dramatic changes, including blood vessel dilation and increased CD8+ cell infiltration, at a very early stage of disease initiation. Ultrasound imaging data revealed significant acute and persistent pancreas inflammation in the diabetes-induced rats. The pancreas micro-vasculature was significantly dilated one day after diabetes induction, and large blood vessel (superior mesenteric artery in this study) dilation and inflammation occurred several days later, but still prior to any observable autoimmune cell infiltration of the pancreatic islets.

conclusionsOur data demonstrate that ultrasound imaging technology can detect pancreas inflammation in living rats during the development of type 1 diabetes. Due to ultrasound's established use as a non-invasive diagnostic tool, it may prove useful in a clinical setting for type 1 diabetes risk prediction prior to autoimmunity and to assess the effectiveness of potential therapeutics.

Indexed as

UltrasonographyAnimalsApoptosisCapillary ResistanceCaspase 3Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 1Disease Models, AnimalHumansIslets of LangerhansMicrovesselsPancreasPancreatitisPrognosisRatsT-Lymphocyte SubsetsCaspase 3

Identifiers

PMID28605395
PMCPMC5468055
OpenAlexW2626855603

What OpenQuestion holds

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LicenceCC BY
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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.