Evidence map›Paper›PMID 27558530›Full record

ArticleScientific reports2016

Pancreas-enriched miRNAs are altered in the circulation of subjects with diabetes: a pilot cross-sectional study.

Attila A Seyhan, Yury O Nunez Lopez, Hui Xie, Fanchao Yi, Clayton Mathews, Magdalena Pasarica, Richard E Pratley

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04164966 (Development of Novel Biomarkers for the Early Diagnosis of Type 1 Diabetes), which is not on this map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 1% 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.

NCT04164966 active not recruitingnot on this mapstarted 2019, after this paper: background citation

Development of Novel Biomarkers for the Early Diagnosis of Type 1 Diabetes

TypeobservationalSponsorAdventHealth Translational Research InstituteRan2019 to 2026Enrolled28ConditionsType 1 Diabetes
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 2 syntheses or guidelines pooled it, 171 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus.International journal of molecular sciences · 2017
    Pooled it
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45 more citing papers are in PubMed but not listed here.

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 4 institutions in 1 country.

Attila A SeyhanTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Yury O Nunez LopezTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Hui XieTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Fanchao YiTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Clayton MathewsDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Magdalena PasaricaCollege of Medicine Hospital, University of Central Florida, Orlando, FL, USA.
Richard E PratleyTranslational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, FL, USA.
Translational Research Institute for Metabolism and Diabetes · USSanford Burnham Prebys Medical Discovery Institute · USUniversity of Central Florida · USUniversity of Florida · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI MARK A. ATKINSON · 1997 to 2026
$32.9M
Genetic Regulation of Human Beta Cell DestructionUC4DK104194 · NIDDK · UNIVERSITY OF FLORIDA · PI MATHEWS, CLAYTON E · 2014 to 2014
$3.1M
mt-Nd2 and Resistance to Autoimmune DiabetesR01DK074656 · NIDDK · UNIVERSITY OF FLORIDA · PI MATHEWS, CLAYTON E · 2006 to 2015
$2.8M
Regulatory Networks and Biomarkers of Beta-cell Dysfunction and ApoptosisUC4DK104167 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KULKARNI, ROHIT N., MATHEWS, CLAYTON E · 2014 to 2016
$2.7M
NIAID NIH HHS P01 AI042288NIDDK NIH HHS R01 DK074656NIDDK NIH HHS UC4 DK104167NIDDK NIH HHS UC4 DK104194
6 · The paper itself

Abstract

The clinical presentation of diabetes sometimes overlaps, contributing to ambiguity in the diagnosis. Thus, circulating pancreatic islet-enriched microRNAs (miRNAs) might be useful biomarkers of β-cell injury/dysfunction that would allow more accurate subtyping of diabetes. We measured plasma levels of selected miRNAs in subjects with prediabetes (n = 12), type 2 diabetes (T2D, n = 31), latent autoimmune diabetes of adults (LADA, n = 6) and type 1 diabetes (T1D, n = 16) and compared them to levels in healthy control subjects (n = 27). The study was conducted at the Translational Research Institute for Metabolism and Diabetes (TRI-MD), Florida Hospital. MiRNAs including miR-375 (linked to β-cell injury), miR-21 (associated with islet inflammation), miR-24.1, miR-30d, miR-34a, miR-126, miR-146, and miR-148a were significantly elevated in subjects with various forms of diabetes compared to healthy controls. Levels of several miRNAs were significantly correlated with glucose responses during oral glucose tolerance testing, HbA1c, β-cell function, and insulin resistance in healthy controls, prediabetes, and T2D. These data suggest that miRNAs linked to β-cell injury and islet inflammation might be useful biomarkers to distinguish between subtypes of diabetes. This information could be used to predict progression of the disease, guide selection of optimal therapy and monitor responses to interventions, thus improving outcomes in patients with diabetes.

Indexed as

AdultBiomarkersBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleFloridaGene Expression ProfilingHumansInsulin ResistanceMaleMicroRNAsMiddle AgedPancreasPilot ProjectsBiomarkersBlood GlucoseMicroRNAs

Identifiers

PMID27558530
PMCPMC4997329
OpenAlexW2508952393

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.