Evidence map›Paper›PMID 34696757›Full record

ArticleBMC ophthalmology2021

Tear miRNA expression analysis reveals miR-203 as a potential regulator of corneal epithelial cells.

Ayumi Nakagawa, Takeshi Nakajima, Mitsuyoshi Azuma

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Tear Film MicroRNAs as Potential Biomarkers: A Review.International journal of molecular sciences · 2023
    Review
  5. MicroRNA Profiling in the Aqueous Humor of Keratoconus Eyes.Translational vision science & technology · 2022
    Article
  6. Clinical Tear Fluid Proteomics-A Novel Tool in Glaucoma Research.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Novel RNA extraction method from human tears.Molecular biology research communications · 2022
    Article
  9. Review
  10. 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

3 authors at 1 institution in 1 country.

Ayumi NakagawaCentral Research Laboratories, Research and Development Division, Senju Pharmaceutical Co., Ltd., 6-4-3, Minatojima-Minamimachi, Chuo-Ku, Kobe, Hyogo, 650-0047, Japan.
Takeshi NakajimaSenju Laboratory of Ocular Sciences, Senju Pharmaceutical Co., Ltd., 6-4-3, Minatojima-Minamimachi, Chuo-Ku, Kobe, Hyogo, 650-0047, Japan.
Mitsuyoshi AzumaSenju Laboratory of Ocular Sciences, Senju Pharmaceutical Co., Ltd., 6-4-3, Minatojima-Minamimachi, Chuo-Ku, Kobe, Hyogo, 650-0047, Japan. mitsuyoshi-azuma@senju.co.jp.
Senju Pharmaceutical (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmicroRNAs (miRNAs) are small noncoding RNAs that negatively regulate gene expression. They are found within cells and in body fluids. Extracellular miRNAs have been shown to associate with the surrounding tissues. Therefore, we predicted that miRNAs in tears may contribute to regulate corneal epithelial cell function. However, information on the miRNA expression profile of tears is limited and the specific functions of tear miRNAs for corneal epithelial cells are still unknown. To study the role of tear miRNAs, we determined which miRNAs are highly expressed in tears and examined the involvement of miRNAs in corneal epithelial cell viability.

methodsmiRNAs extracted from monkey tears and sera were subjected to microarray analysis. miRNAs of which expression levels were higher in tears than in sera were selected, and their expression levels were quantified by quantitative polymerase chain reaction (qPCR). To examine miRNA function, mimics and inhibitors of miRNAs were transfected into human corneal epithelial (HCE-T) cells and incubated for 24 or 48 h. After transfection of miRNA mimics and inhibitors, the viability of HCE-T cells was measured using the water soluble tetrazolium salt (WST) assay, and microarray analysis and qPCR were performed using total RNA extracted from HCE-T cells. siRNAs of the candidate targets for miR-203 were transfected into HCE-T cells and the WST assay was performed. To determine a direct target gene for miR-203, a dual luciferase reporter assay was performed in HCE-T cells using a luciferase reporter plasmid containing 3'-UTR of human IGFBP5.

resultsMicroarray and qPCR analyses showed that miR-184 and miR-203 were expressed significantly more highly in tears than in sera (165,542.8- and 567.8-fold, respectively, p < 0.05). Of these two miRNAs, transfection of a miR-203 mimic significantly reduced the viability of HCE-T cells (p < 0.05), while a miR-203 inhibitor significantly increased this viability (p < 0.05). miR-203 mimic downregulated insulin-like growth factor-binding protein 5 (IGFBP5) and nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1), while miR-203 inhibitor upregulated these two genes. Transfection of IGFBP5-siRNA decreased the viability of HCE-T cells. miR-203 mimic significantly diminished the luciferase reporter activity.

conclusionsIn this study, we identified miRNAs that are highly expressed in tears, and the inhibition of miR-203 increases the viability of corneal epithelial cells. Our results suggest that miR-203 contributes to regulating the homeostasis of corneal epithelial cells.

Indexed as

MicroRNAsAnimalsCells, CulturedCorneaEpithelial CellsHaplorhiniHumansMicroarray AnalysisRNA, Small InterferingTearsMicroRNAsMIRN203 microRNA, humanRNA, Small InterferingCorneal epithelial cellMicroarraymicroRNATearViability

Identifiers

PMID34696757
PMCPMC8543880
OpenAlexW3209596366

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.