Evidence map›Paper›PMID 27455994›Full record

ReviewJournal of biomolecular screening2016

Rethinking Nuclear Receptors as Potential Therapeutic Targets for Retinal Diseases.

Mayur Choudhary, Goldis Malek

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of biomolecular screening, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

13 citing papers in PubMed, 13 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

2 authors at 1 institution in 1 country.

Mayur Choudhary1 Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Goldis Malek1 Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Duke University · US

Funding

VISION RESEARCHP30EY005722 · NEI · DUKE UNIVERSITY · PI Vadim Y Arshavsky · 1985 to 2026
$19.3M
Lipid Activated Nuclear Receptors in Age-Related Macular DegenerationR01EY020868 · NEI · DUKE UNIVERSITY · PI MALEK, GOLDIS · 2011 to 2015
$1.8M
NEI NIH HHS P30 EY005722NEI NIH HHS R01 EY020868
6 · The paper itself

Abstract

Collectively, retinal diseases, including age-related macular degeneration, retinitis pigmentosa, and diabetic retinopathy, result in severe vision impairment worldwide. The absence and/or limited availability of successful drug therapies for these blinding disorders necessitates further understanding their pathobiology and identifying new targetable signaling pathways. Nuclear receptors are transcription regulators of many key aspects of human physiology, as well as pathophysiology, with reported roles in development, aging, and disease. Some of the pathways regulated by nuclear receptors include, but are not limited to, angiogenesis, inflammation, and lipid metabolic dysregulation, mechanisms also important in the initiation and development of several retinal diseases. Herein, we present an overview of the biology of three diseases affecting the posterior eye, summarize a growing body of evidence that suggests direct or indirect involvement of nuclear receptors in disease progression, and discuss the therapeutic potential of targeting nuclear receptors for treatment.

Indexed as

Diabetic RetinopathyHumansMacular DegenerationMolecular Targeted TherapyReceptors, Cytoplasmic and NuclearRetinal DiseasesRetinitis PigmentosaSignal TransductionReceptors, Cytoplasmic and Nuclearage-related macular degenerationdiabetic retinopathynuclear receptorsretinal diseasesretinitis pigmentosa

Identifiers

PMID27455994
PMCPMC5586077
OpenAlexW2504487808

What OpenQuestion holds

Textmetadata
LicenceTDM
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.