Evidence map›Paper›PMID 28846711›Full record

ArticlePloS one2017

Identification of novel biomarkers to monitor β-cell function and enable early detection of type 2 diabetes risk.

Kirstine J Belongie, Ele Ferrannini, Kjell Johnson, Patricia Andrade-Gordon, Michael K Hansen, John R Petrie

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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 64 citations in OpenAlex.

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  9. Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

6 authors at 4 institutions in 3 countries.

Kirstine J BelongieCardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America.
Ele FerranniniCNR Institute of Clinical Physiology, Pisa, Italy.
Kjell JohnsonArbor Analytics, Ann Arbor, Michigan, United States of America.
Patricia Andrade-GordonCardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America.
Michael K HansenCardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America.
John R PetrieInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID http://orcid.org/0000-0002-4894-9819
Springhouse · USIstituto di Fisiologia Clinica · ITMichigan United · USUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A decline in β-cell function is a prerequisite for the development of type 2 diabetes, yet the level of β-cell function in individuals at risk of the condition is rarely measured. This is due, in part, to the fact that current methods for assessing β-cell function are inaccurate, prone to error, labor-intensive, or affected by glucose-lowering therapy. The aim of the current study was to identify novel circulating biomarkers to monitor β-cell function and to identify individuals at high risk of developing β-cell dysfunction. In a nested case-control study from the Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) cohort (n = 1157), proteomics and miRNA profiling were performed on fasting plasma samples from 43 individuals who progressed to impaired glucose tolerance (IGT) and 43 controls who maintained normal glucose tolerance (NGT) over three years. Groups were matched at baseline for age, gender, body mass index (BMI), insulin sensitivity (euglycemic clamp) and β-cell glucose sensitivity (mathematical modeling). Proteomic profiling was performed using the SomaLogic platform (Colorado, USA); miRNA expression was performed using a modified RT-PCR protocol (Regulus Therapeutics, California, USA). Results showed differentially expressed proteins and miRNAs including some with known links to type 2 diabetes, such as adiponectin, but also novel biomarkers and pathways. In cross sectional analysis at year 3, the top differentially expressed biomarkers in people with IGT/ reduced β-cell glucose sensitivity were adiponectin, alpha1-antitrypsin (known to regulate adiponectin levels), endocan, miR-181a, miR-342, and miR-323. At baseline, adiponectin, cathepsin D and NCAM.L1 (proteins expressed by pancreatic β-cells) were significantly lower in those that progressed to IGT. Many of the novel prognostic biomarker candidates were within the epithelial-mesenchymal transition (EMT) pathway: for example, Noggin, DLL4 and miR-181a. Further validation studies are required in additional clinical cohorts and in patients with type 2 diabetes, but these results identify novel pathways and biomarkers that may have utility in monitoring β-cell function and/ or predicting future decline, allowing more targeted efforts to prevent and intercept type 2 diabetes.

Indexed as

AdultBiomarkersBlood GlucoseCase-Control StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2Early DiagnosisFemaleGlucose Clamp TechniqueGlucose IntoleranceGlucose Tolerance TestHumansInsulinInsulin ResistanceInsulin-Secreting CellsMaleBiomarkersBlood GlucoseInsulin

Identifiers

PMID28846711
PMCPMC5573304
OpenAlexW2749559264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.