Evidence map›Paper›PMID 29107288›Full record

ArticleMolecular metabolism2017

Identification of islet-enriched long non-coding RNAs contributing to β-cell failure in type 2 diabetes.

Anna Motterle, Sonia Gattesco, Marie-Line Peyot, Jonathan Lou S Esguerra, Ana Gomez-Ruiz, D Ross Laybutt, Patrick Gilon, Frédéric Burdet, Mark Ibberson, Lena Eliasson and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  6. The Role of Long Intergenic Noncoding RNA in Fetal Development.International journal of molecular sciences · 2024
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  12. Long non-coding RNAs: a valuable biomarker for metabolic syndrome.Molecular genetics and genomics : MGG · 2022
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  13. Interplay between circular RNA, microRNA, and human diseases.Molecular genetics and genomics : MGG · 2022
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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 at 5 institutions in 4 countries.

Anna MotterleDepartment of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Switzerland.
Sonia GattescoDepartment of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Switzerland.
Marie-Line PeyotMontreal Diabetes Research Center and Centre de Recherche du CHUM, Montréal, Québec, Canada.
Jonathan Lou S EsguerraDepartment of Clinical Sciences-Malmö, Lund University Diabetes Centre, Lund University, Clinical Research Centre, SUS, Malmö, Sweden.
Ana Gomez-RuizPôle d'Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
D Ross LaybuttGarvan Institute of Medical Research, St Vincent's Hospital, University of New South Wales, Sydney Australia.
Patrick GilonPôle d'Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.
Frédéric BurdetVital-IT group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Mark IbbersonVital-IT group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Lena EliassonDepartment of Clinical Sciences-Malmö, Lund University Diabetes Centre, Lund University, Clinical Research Centre, SUS, Malmö, Sweden.
Marc PrentkiMontreal Diabetes Research Center and Centre de Recherche du CHUM, Montréal, Québec, Canada.
Romano RegazziDepartment of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Switzerland. Electronic address: Romano.Regazzi@unil.ch.
University of Lausanne · CHLund University · SESIB Swiss Institute of Bioinformatics · CHUCLouvain · BEGarvan Institute of Medical Research · AU

Funding

CIHR
6 · The paper itself

Abstract

objectiveNon-coding RNAs constitute a major fraction of the β-cell transcriptome. While the involvement of microRNAs is well established, the contribution of long non-coding RNAs (lncRNAs) in the regulation of β-cell functions and in diabetes development remains poorly understood. The aim of this study was to identify novel islet lncRNAs differently expressed in type 2 diabetes models and to investigate their role in β-cell failure and in the development of the disease.

methodsNovel transcripts dysregulated in the islets of diet-induced obese mice were identified by high throughput RNA-sequencing coupled with de novo annotation. Changes in the level of the lncRNAs were assessed by real-time PCR. The functional role of the selected lncRNAs was determined by modifying their expression in MIN6 cells and primary islet cells.

resultsWe identified about 1500 novel lncRNAs, a number of which were differentially expressed in obese mice. The expression of two lncRNAs highly enriched in β-cells, βlinc2, and βlinc3, correlated to body weight gain and glycemia levels in obese mice and was also modified in diabetic db/db mice. The expression of both lncRNAs was also modulated in vitro in isolated islet cells by glucolipotoxic conditions. Moreover, the expression of the human orthologue of βlinc3 was altered in the islets of type 2 diabetic patients and was associated to the BMI of the donors. Modulation of the level of βlinc2 and βlinc3 by overexpression or downregulation in MIN6 and mouse islet cells did not affect insulin secretion but increased β-cell apoptosis.

conclusionsTaken together, the data show that lncRNAs are modulated in a model of obesity-associated type 2 diabetes and that variations in the expression of some of them may contribute to β-cell failure during the development of the disease.

Indexed as

AnimalsDiabetes Mellitus, Type 2Diet, High-FatDisease Models, AnimalGene ExpressionInsulinInsulin-Secreting CellsIslets of LangerhansMaleMiceMice, Inbred C57BLMice, ObeseRNA, Long NoncodingSequence Analysis, RNATranscriptomeInsulinRNA, Long NoncodingDiabetesGene expressionInsulinObesityPancreatic islet

Identifiers

PMID29107288
PMCPMC5681241
OpenAlexW2749003594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.