Evidence map›Paper›PMID 31666653›Full record

ArticleScientific reports2019

MicroRNA-146a-deficient mice develop immune complex glomerulonephritis.

Lucile Amrouche, Sylvaine You, Virginia Sauvaget, Victoria Manda, Baptiste Lamarthée, Geoffroy Desbuissons, Claire Tinel, Marion Rabant, Clément Nguyen, Pierre Isnard and 5 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. MicroRNAs in kidney injury and disease.Nature reviews. Nephrology · 2022
    Review
  3. Review
  4. Article
  5. Review
  6. 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

15 authors at 4 institutions in 2 countries.

Lucile AmroucheINSERM, U1151, Paris, France. lucile.amrouche@aphp.fr.
Sylvaine YouUniversité Paris Descartes, Université de Paris, Paris, France.
Virginia SauvagetINSERM, U1151, Paris, France.
Victoria MandaINSERM, U1151, Paris, France.
Baptiste LamarthéeINSERM, U1151, Paris, France.
Geoffroy DesbuissonsINSERM, U1151, Paris, France.
Claire TinelINSERM, U1151, Paris, France.
Marion RabantUniversité Paris Descartes, Université de Paris, Paris, France.
Clément NguyenINSERM, U1151, Paris, France.
Pierre IsnardINSERM, U1151, Paris, France.
Martine BurtinINSERM, U1151, Paris, France.
Nicolas CharlesINSERM U1149 - CNRS ERL8252 - Université de Paris, Paris, France.
Christophe LegendreINSERM, U1151, Paris, France.
Fabiola TerziINSERM, U1151, Paris, France.
Dany AnglicheauINSERM, U1151, Paris, France. dany.anglicheau@aphp.fr.
Inserm · FRUniversité Paris Cité · FRDélégation Paris 5 · FRHôpital Necker-Enfants Malades · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play an important role in the kidneys under physiological and pathological conditions, but their role in immune glomerulonephritis is unclear. miR-146a has been identified as a key player in innate immunity and inflammatory responses, and in the kidney, this miRNA is involved in the response of injured tubular cells. We studied the renal and immune phenotypes of miR-146a

Indexed as

AnimalsAntigen-Antibody ComplexBiomarkersB-Lymphocytes, RegulatoryGene Expression RegulationGlomerulonephritisHepatitis A Virus Cellular Receptor 1HomeostasisMiceMicroRNAsPhenotypeAntigen-Antibody ComplexBiomarkersHavcr1 protein, mouseHepatitis A Virus Cellular Receptor 1MicroRNAsMirn146 microRNA, mouse

Identifiers

PMID31666653
PMCPMC6821765
OpenAlexW2982597467

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.