Evidence map›Paper›PMID 31278342›Full record

ArticleScientific reports2019

Glomerular expression pattern of long non-coding RNAs in the type 2 diabetes mellitus BTBR mouse model.

Simone Reichelt-Wurm, Tobias Wirtz, Dominik Chittka, Maja Lindenmeyer, Robert M Reichelt, Sebastian Beck, Panagiotis Politis, Aristidis Charonis, Markus Kretz, Tobias B Huber and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Long non-coding RNAExperimental and therapeutic medicine · 2020
    Article
  7. Article
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

13 authors at 5 institutions in 2 countries.

Simone Reichelt-WurmDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany. Simone.Reichelt-Wurm@ukr.de.ORCID http://orcid.org/0000-0002-9146-8084
Tobias WirtzDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.
Dominik ChittkaDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.
Maja LindenmeyerNephrological Center, Medical Clinic and Policlinic IV, University Hospital of Munich, Munich, Germany.
Robert M ReicheltDepartment of Biochemistry, Genetics and Microbiology, Institute of Microbiology, University of Regensburg, Regensburg, Germany.
Sebastian BeckDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.
Panagiotis PolitisCenter for Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Aristidis CharonisCenter for Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Markus KretzInstitute of Biochemistry, Genetics and Microbiology, University of Regensburg, Regensburg, Germany.
Tobias B HuberIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Shuya LiuIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Bernhard BanasDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.ORCID http://orcid.org/0000-0003-2076-2195
Miriam C BanasDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.
University Hospital Regensburg · DEUniversität Hamburg · DEUniversity of Regensburg · DEAcademy of Athens · GRBiomedical Research Foundation of the Academy of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of type 2 diabetes mellitus (T2DM) and by association diabetic nephropathy (DN) will continuously increase in the next decades. Nevertheless, the underlying molecular mechanisms are largely unknown and studies on the role of new actors like long non-coding RNAs (lncRNAs) barely exist. In the present study, the inherently insulin-resistant mouse strain "black and tan, brachyuric" (BTBR) served as T2DM model. While wild-type mice do not exhibit pathological changes, leptin-deficient diabetic animals develop a severe T2DM accompanied by a DN, which closely resembles the human phenotype. We analyzed the glomerular expression of lncRNAs from wild-type and diabetic BTBR mice (four, eight, 16, and 24 weeks) applying the "GeneChip Mouse Whole Transcriptome 1.0 ST" array. This microarray covered more lncRNA gene loci than any other array before. Over the observed time, our data revealed differential expression patterns of 1746 lncRNAs, which markedly differed from mRNAs. We identified protein-coding and non-coding genes, that were not only co-located but also co-expressed, indicating a potentially cis-acting function of these lncRNAs. In vitro-experiments strongly suggested a cell-specific expression of these lncRNA-mRNA-pairs. Additionally, protein-coding genes, being associated with significantly regulated lncRNAs, were enriched in various biological processes and pathways, that were strongly linked to diabetes.

Indexed as

Gene Expression RegulationAnimalsComputational BiologyDiabetes Mellitus, Type 2Diabetic NephropathiesDisease Models, AnimalGene Expression ProfilingGene OntologyHumansInsulin ResistanceKidney GlomerulusMiceOrgan SpecificityReproducibility of ResultsRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, Messenger

Identifiers

PMID31278342
PMCPMC6611801
OpenAlexW2955322526

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Registered trials

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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.