Evidence map›Paper›PMID 32871225›Full record

ArticleMolecular and cellular endocrinology2020

Hypoxia regulates GR function through multiple mechanisms involving microRNAs 103 and 107.

Nan Yang, Andrew Berry, Carolin Sauer, Matthew Baxter, Ian J Donaldson, Karen Forbes, Rachelle Donn, Laura Matthews, David Ray

Open access · hybridAbstract read
In one paragraph

Article in Molecular and cellular endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 11 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

9 authors at 4 institutions in 1 country.

Nan YangFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX37LE, UK.
Andrew BerryFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK.
Carolin SauerNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX37LE, UK.
Matthew BaxterFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX37LE, UK.
Ian J DonaldsonFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK.
Karen ForbesFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK.
Rachelle DonnFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK.
Laura MatthewsFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK. Electronic address: L.C.Matthews@leeds.ac.uk.
David RayFaculty of Biology, Medicine, and Health, University of Manchester and Manchester Academic Health Sciences Centre, Manchester, M13 9PT, UK; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX37LE, UK. Electronic address: david.ray@ocdem.ox.ac.uk.
John Radcliffe Hospital · GBUniversity of Manchester · GBManchester Academic Health Science Centre · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GB

Funding

Arthritis Research UKDepartment of HealthMedical Research Council MR/L010240/1Medical Research Council MR/M008908/1Medical Research Council MR/P023576/1Medical Research Council MR/P023576/2Medical Research Council MR/R023166/1Wellcome Trust 107849/A/15/ZWellcome Trust 107851/Z/15/Z
6 · The paper itself

Abstract

Glucocorticoids (Gcs) potently inhibit inflammation, and regulate liver energy metabolism, often acting in a hypoxic environment. We now show hypoxic conditions open a specific GR cistrome, and prevent access of GR to part of the normoxic GR cistrome. Motif analysis identified enrichment of KLF4 binding sites beneath those peaks of GR binding exclusive to normoxia, implicating KLF4 as a pioneer, or co-factor under these conditions. Hypoxia reduced KLF4 expression, however, knockdown of KLF4 did not impair GR recruitment. KLF4 is a known target of microRNAs 103 and 107, both of which are induced by hypoxia. Expression of mimics to either microRNA103, or microRNA107 inhibited GR transactivation of normoxic target genes, thereby replicating the hypoxic effect. Therefore, studies in hypoxia reveal that microRNAs 103 and 107 are potent regulators of GR function. We have now identified a new pathway linking hypoxia through microRNAs 103 and 107 to regulation of GR function.

Indexed as

Cell HypoxiaDexamethasoneGene Expression RegulationGlucocorticoidsHEK293 CellsHeLa CellsHumansHypoxiaKruppel-Like Factor 4MicroRNAsReceptors, GlucocorticoidSignal TransductionDexamethasoneGlucocorticoidsKLF4 protein, humanKruppel-Like Factor 4MicroRNAsMIRN103 microRNA, humanMIRN107 microRNA, humanReceptors, GlucocorticoidGlucocorticoid receptorGlucocorticoidsHIF-1αHypoxiaMicroRNAs

Identifiers

PMID32871225
PMCPMC7646191
OpenAlexW3082849072

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.