MicroRNA profiling from tears as a potential non-invasive method for early detection of diabetic retinopathy

Wilson K.M. Wong, Mya Polkamp, Ryan J. Farr, Pooja S. Kunte, Hrishikesh P. Hardikar, Chittaranjan S. Yajnik, Anandwardhan A. Hardikar, Mugdha V. Joglekar

Research output: Chapter in Book / Conference PaperChapterpeer-review

2 Citations (Scopus)

Abstract

Diabetic retinopathy (DR) is a vascular complication of diabetes that can lead to partial or complete loss of vision. Early detection and treatment of DR can prevent blindness. Regular clinical examination is recommended for DR diagnosis; however, it is not always possible or feasible due to limited resources, expertise, time, and infrastructure. Several clinical and molecular biomarkers are proposed for the prediction of DR including microRNAs. MicroRNAs are a class of small non-coding RNAs that are found in biofluids and can be measured using reliable and sensitive methods. The most commonly used biofluid for microRNA profiling is plasma or serum; however, tear fluid (tears) is also demonstrated to contain microRNAs. MicroRNAs isolated from tears present a non-invasive source for DR detection. Different methods of microRNA profiling are available including digital PCR-based methods that can detect up to a single copy of microRNA in the biofluids. Here, we describe microRNA isolation from tears using manual method as well as using a high-throughput automated platform followed by microRNA profiling using digital PCR system.
Original languageEnglish
Title of host publicationDiabetic Retinopathy: Methods and Protocols
EditorsGuei-Sheung Liu, Jiang-Hui Wang
Place of PublicationU.S.
PublisherHumana Press
Chapter8
Pages117-134
Number of pages18
ISBN (Electronic)9781071632550
ISBN (Print)9781071632543
DOIs
Publication statusPublished - 2023

Publication series

NameMethods in Molecular Biology
Volume2678
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Diabetes
  • Diabetic retinopathy
  • Digital PCR
  • High throughput
  • MicroRNAs
  • Tears

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