Evidence map›Paper›PMID 32350386›Full record

ArticleScientific reports2020

Polymorphisms in miRNA binding sites involved in metabolic diseases in mice and humans.

Pascal Gottmann, Meriem Ouni, Lisa Zellner, Markus Jähnert, Kilian Rittig, Dirk Walther, Annette Schürmann

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 6 institutions in 1 country.

Pascal GottmannGerman Institute of Human Nutrition Potsdam-Rehbruecke, Department of Experimental Diabetology, 14558, Nuthetal, Germany.
Meriem OuniGerman Institute of Human Nutrition Potsdam-Rehbruecke, Department of Experimental Diabetology, 14558, Nuthetal, Germany.
Lisa ZellnerGerman Institute of Human Nutrition Potsdam-Rehbruecke, Department of Experimental Diabetology, 14558, Nuthetal, Germany.
Markus JähnertGerman Institute of Human Nutrition Potsdam-Rehbruecke, Department of Experimental Diabetology, 14558, Nuthetal, Germany.
Kilian RittigClinic for Angiology and Diabetology, 15236, Frankfurt (Oder), Germany.
Dirk WaltherMax Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam, Golm, Germany.
Annette SchürmannGerman Institute of Human Nutrition Potsdam-Rehbruecke, Department of Experimental Diabetology, 14558, Nuthetal, Germany. schuermann@dife.de.
German Institute of Human Nutrition · DEDeutsches Diabetes-Zentrum e.V. · DEGerman Center for Diabetes Research · DEHeinrich Heine University Düsseldorf · DEMax Planck Institute of Molecular Plant Physiology · DEUniversity of Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes and obesity are well-studied metabolic diseases, which are based on genetic and epigenetic alterations in combination with an obesogenic lifestyle. The aim of this study was to test whether SNPs in miRNA-mRNA binding sites that potentially disrupt binding, elevate the expression of miRNA targets, which participate in the development of metabolic diseases. A computational approach was developed that integrates transcriptomics, linkage analysis, miRNA-target prediction data, and sequence information of a mouse model of obesity and diabetes. A statistical analysis demonstrated a significant enrichment of 566 genes for a location in obesity- and diabetes-related QTL. They are expressed at higher levels in metabolically relevant tissues presumably due to altered miRNA-mRNA binding sites. Of these, 51 genes harbor conserved and impaired miRNA-mRNA-interactions in human. Among these, 38 genes have been associated to metabolic diseases according to the phenotypes of corresponding knockout mice or other results described in the literature. The remaining 13 genes (e.g. Jrk, Megf9, Slfn8 and Tmem132e) could be interesting candidates and will be investigated in the future.

Indexed as

3' Untranslated RegionsDiabetes MellitusMicroRNAsObesityQuantitative Trait LociAnimalsGenome-Wide Association StudyHumansMiceMice, Knockout3' Untranslated RegionsMicroRNAs

Identifiers

PMID32350386
PMCPMC7190857
OpenAlexW3023843093

What OpenQuestion holds

Textmetadata
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.