Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
Micro RNAs in the Aqueous Humor of Patients with Diabetic Macular Edema
Author Affiliations & Notes
  • YongUn Shin
    Ophthalmology, Hanyang University, Guri, Korea (the Republic of)
  • Heeyoon Cho
    Ophthalmology, Hanyang University, Guri, Korea (the Republic of)
  • Hyoseon Yu
    Ophthalmology, Hanyang University, Guri, Korea (the Republic of)
  • Eun Hee Hong
    Ophthalmology, Hanyang University, Guri, Korea (the Republic of)
  • Han Woong Lim
    Ophthalmology, Hanyang University, Guri, Korea (the Republic of)
  • Footnotes
    Commercial Relationships   YongUn Shin, None; Heeyoon Cho, None; Hyoseon Yu, None; Eun Hee Hong, None; Han Woong Lim, None
  • Footnotes
    Support  NRF-2017R1D1A1B03030905
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 4997. doi:
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      YongUn Shin, Heeyoon Cho, Hyoseon Yu, Eun Hee Hong, Han Woong Lim; Micro RNAs in the Aqueous Humor of Patients with Diabetic Macular Edema. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4997.

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Abstract

Purpose : MicroRNAs(miRNAs) have been studied as new biomarkers or mediators in various diseases, but the value of aqueous humor miRNAs in diabetic macular edema (DME) is still not known. We compared the expression of miRNAs and cytokines in patients with DME and healthy controls using the comparatively easy-to-access aqueous humor of intraocular specimens.

Methods : Prospective cross-sectional study. Twenty naïve DME patients and 13 control subjects, who were scheduled for intravitreal injection and cataract surgery respectively. Aqueous humor samples were collected at the beginning of each procedure and analyzed using a microarray composed of 84 miRNAs, RT-qPCR for verifying selected differentially expressed miRNAs, and a cytokine assay, the results of which were compared with bioinformatics conducted to find out genes associated with DME-related miRNAs.

Results : Five miRNAs(hsa-miR-185-5p, hsa-miR-17-5p, hsa-miR-20a-5p, hsa-miR-15b-5p, and hsa-miR-15a-5p) showing a fold change greater than -50 in log2 values in the microarray were selected, all significantly downregulated in the DME group compared to the control group (p<0.05), and showed a direct relationship with TNF, NFkB1, and IL-6 in bioinformatics analysis, all of which were related to VEGF. In the cytokine assay, the aqueous concentrations of VEGF, placental growth factor(PIGF), IL-6, and IL-8 were significantly higher in the DME group compared to the control group.

Conclusions : This study is the first to perform miRNA profiling of the aqueous humor of DME patients. This study may be meaningful because there is no established animal model for DME. All five statistically significantly differentially expressed miRNAs identified in our study are associated with angiogenesis and inflammation, both of which are closely related to DME pathogenesis. These miRNAs may be candidate novel therapeutic targets or biomarkers for DMO prognosis and drug response prediction.

This is a 2020 ARVO Annual Meeting abstract.

 

Five genes related to inflammatory eye disease and their interaction network formed using bioinformatics analysis. (A) Using real-time PCR, hsa-miR185-5p, hsa-miR-17-5p, hsa-miR-20a-5p, hsa-miR-15b-5p, and hsa-miR-15a-5p were found to be significantly downregulated in patients with diabetic macular oedema. The expression of UniSp6 was used as an internal control. (B) Direct gene relationship between 5 miRNAs and inflammatory eye disease formed using the Novus Biologicals bioinformatics analysis

Five genes related to inflammatory eye disease and their interaction network formed using bioinformatics analysis. (A) Using real-time PCR, hsa-miR185-5p, hsa-miR-17-5p, hsa-miR-20a-5p, hsa-miR-15b-5p, and hsa-miR-15a-5p were found to be significantly downregulated in patients with diabetic macular oedema. The expression of UniSp6 was used as an internal control. (B) Direct gene relationship between 5 miRNAs and inflammatory eye disease formed using the Novus Biologicals bioinformatics analysis

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