Literature DB >> 24114799

Circulating microRNAs as biomarkers of retinal toxicity.

Qinghai Peng1, Wenhu Huang, Annette John-Baptiste.   

Abstract

Despite of the attrition due to retinal toxicity during drug development there are no early reliable predictive biomarkers of retinal toxicity and this is increasingly becoming a concern. Thus far, in pharmacology and toxicology the technologies for assessing retinal side effects are limited to inconvenient visual behavioral tests, invasive electroretinograms or terminal histopathology. To address the lack of convenient early predictive retinal toxicity biomarkers, we explored a set of potential novel retinal enriched miRNAs in rats ex vivo and in vivo with known retinal toxicant pan-CDK inhibitors to assess circulating plasma miRNAs in rats and non-retinal toxicants as controls. Rats were administered a single intravitreal (IVT) injection and blood samples were collected pre-dose, various time points post-dose and then analyzed for five retinal enriched miRNAs (miR-96, miR-124a, miR181a, miR-182 and miR-183) by qRT-PCR. Ophthalmic exam, electroretinogram and histopathology were performed as confirmatory tests. All five miRNAs tested in retinal explants culture were highly expressed after pan-CDK inhibitor treatment. In vivo the pan-CDK inhibitors caused elevations of miR-96, miR-124a and miR-183 in blood. These results highly correlated with ocular exam, electroretinograms and microscopic findings. Comparatively, there were no changes in miRNA levels, electroretinograms, or histopathology in the negative control treatment groups. Although these miRNAs need additional confirmatory evaluation whether they truly predict retinal toxicity prior to clinical observations and histopathology, these results provide promise for further testing using additional retinal toxicants.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  drug-induced retinal toxicity; ocular toxicity; retinal enriched miRNA; retinal toxicity; retinopathy

Mesh:

Substances:

Year:  2013        PMID: 24114799     DOI: 10.1002/jat.2930

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  2 in total

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Authors:  Qinghai Peng; Jordan Mechanic; Ahmed Shoieb; Ingrid D Pardo; Laura Schaevitz; Judith Fenyk-Melody; Allison Vitsky; Magalie Boucher; Chris Somps; Jon C Cook; Chang-Ning Liu
Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

2.  High expression of microRNA-183/182/96 cluster as a prognostic biomarker for breast cancer.

Authors:  Cailu Song; Lijuan Zhang; Jin Wang; Zhongying Huang; Xing Li; Mingqing Wu; Shuaijie Li; Hailin Tang; Xiaoming Xie
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

  2 in total

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