Evidence map›Paper›PMID 28877242›Full record

ArticlePloS one2017

Comparative quantitative proteomic analysis of disease stratified laser captured microdissected human islets identifies proteins and pathways potentially related to type 1 diabetes.

Julius O Nyalwidhe, Wojciech J Grzesik, Tanya C Burch, Michele L Semeraro, Tayab Waseem, Ivan C Gerling, Raghavendra G Mirmira, Margaret A Morris, Jerry L Nadler

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

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  19. Abnormalities in proinsulin processing in islets from individuals with longstanding T1D.Translational research : the journal of laboratory and clinical medicine · 2019
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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

9 authors at 3 institutions in 1 country.

Julius O NyalwidheDepartment of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.ORCID http://orcid.org/0000-0003-2854-7510
Wojciech J GrzesikDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Tanya C BurchDepartment of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Michele L SemeraroDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Tayab WaseemDepartment of Microbiology and Molecular Cell Biology, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Ivan C GerlingDivision of Endocrinology, Diabetes and Metabolism, The University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
Raghavendra G MirmiraDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indiana University, Indianapolis, Indiana, United States of America.
Margaret A MorrisDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Jerry L NadlerDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia, United States of America.
Eastern Virginia Medical School · USIndiana University – Purdue University Indianapolis · USUniversity of Tennessee Health Science Center · US

Funding

Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
Biomarkers Of Beta Cell Stress In Type 1 Diabetes (BetaMarker)UC4DK104166 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EIZIRIK, DECIO LAKS, EVANS-MOLINA, CARMELLA · 2014 to 2014
$2.4M
NIDDK NIH HHS P30 DK097512NIDDK NIH HHS UC4 DK104166
6 · The paper itself

Abstract

Type 1 diabetes (T1D) is a chronic inflammatory disease that is characterized by autoimmune destruction of insulin-producing pancreatic beta cells. The goal of this study was to identify novel protein signatures that distinguish Islets from patients with T1D, patients who are autoantibody positive without symptoms of diabetes, and from individuals with no evidence of disease. High resolution high mass accuracy label free quantitative mass spectrometry analysis was applied to islets isolated by laser capture microdissection from disease stratified human pancreata from the Network for Pancreatic Organ Donors with Diabetes (nPOD), these included donors without diabetes, donors with T1D-associated autoantibodies in the absence of diabetes, and donors with T1D. Thirty-nine proteins were found to be differentially regulated in autoantibody positive cases compared to the no-disease group, with 25 upregulated and 14 downregulated proteins. For the T1D cases, 63 proteins were differentially expressed, with 24 upregulated and 39 downregulated, compared to the no disease controls. We have identified functional annotated enriched gene families and multiple protein-protein interaction clusters of proteins are involved in biological and molecular processes that may have a role in T1D. The proteins that are upregulated in T1D cases include S100A9, S100A8, REG1B, REG3A and C9 amongst others. These proteins have important biological functions, such as inflammation, metabolic regulation, and autoimmunity, all of which are pathways linked to the pathogenesis of T1D. The identified proteins may be involved in T1D development and pathogenesis. Our findings of novel proteins uniquely upregulated in T1D pancreas provides impetus for further investigations focusing on their expression profiles in beta cells/ islets to evaluate their role in the disease pathogenesis. Some of these molecules may be novel therapeutic targets T1D.

Indexed as

AdultChildChromatography, LiquidDiabetes Mellitus, Type 1FemaleHumansIslets of LangerhansLaser Capture MicrodissectionMaleMass SpectrometryMetabolic Networks and PathwaysMicroscopy, ConfocalMicroscopy, FluorescencePancreatitis-Associated ProteinsProtein Interaction Domains and MotifsProteomicsPancreatitis-Associated Proteins

Identifiers

PMID28877242
PMCPMC5587329
OpenAlexW2752004180

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.