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Nanofluorescence Probe in Detection of miR-187 and Its Correlation with Oxidative Stress Response in Cataracts.

  • Published In: Alternative Therapies in Health & Medicine, 2023, v. 29, n. 1. P. 73 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Feng Wang; Ye Ren 3 of 3

Abstract

Objective • This study aimed to explore the sensitivity of a nano-fluorescent probe in the detection of miR-187 and the correlation of miR-187 with cataract oxidative stress response. Method • We selected 24 patients with cataracts and 24 healthy people from January 2019 to January 2021 to undergo a nano-fluorescence miR-187 test. We divided cultured human lens epithelial cells (HLECs) into 3 groups: control, overexpressed miR-187 and miR-187 silence, in order to investigate the intracellular oxidative stress response, and the activity and apoptosis of HLECs in the state of oxidative stress. Results • The expression of miR-187 increased significantly in patients with cataracts, and the overexpression of miR-187 promoted the oxidative stress response in HLECs. In the oxidative stress environment simulated by hydrogen peroxide, the downregulation of miR-187 can significantly increase HLEC activity and reduce its apoptosis. In order to further study the role of miR-187 in cataract progression, cataract mouse models were injected with miR-187 mimic and inhibitor. The results showed that miR-187-inhibitor can inhibit the progression of cataracts. Conclusion • The expression of miR-187 is significantly related to cataract prognosis, and down regulation of miR187 expression has significant antioxidation capacity and can reduce HLEC apoptosis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Alternative Therapies in Health & Medicine. 2023/01, Vol. 29, Issue 1, p73
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2023
  • ISSN:1078-6791
  • Accession Number:161350430
  • Copyright Statement:Copyright of Alternative Therapies in Health & Medicine is the property of InnoVisions Professional Media and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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