June 2020
Volume 61, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2020
Atg16I1:a novel biomarker and autophagy gene for diabetic retinopathy identified by microarray analysis
Author Affiliations & Notes
  • Xinxiao Gao
    Beijing Anzhen Hospital, Capital Medical University, Beijing, China
  • Yunhui Du
    Beijing Anzhen Hospital, Capital Medical University, Beijing, China
  • Wayne Bond Lau
    Thomas Jefferson University , Pennsylvania, United States
  • Siquan Zhu
    Beijing Anzhen Hospital, Capital Medical University, Beijing, China
  • Xin-Liang Ma
    Thomas Jefferson University , Pennsylvania, United States
  • Footnotes
    Commercial Relationships   Xinxiao Gao, None; Yunhui Du, None; Wayne Lau, None; Siquan Zhu, None; Xin-Liang Ma, None
  • Footnotes
    Support  Beijing Natural Science Foundation (Grant No. 7192049)
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 737. doi:
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      Xinxiao Gao, Yunhui Du, Wayne Bond Lau, Siquan Zhu, Xin-Liang Ma; Atg16I1:a novel biomarker and autophagy gene for diabetic retinopathy identified by microarray analysis. Invest. Ophthalmol. Vis. Sci. 2020;61(7):737.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Accumulating evidence suggest the critical role of autophagy in the pathogenesis of diabetic retinopathy (DR). In the current study, we aim to identify autophagy genes involved in DR via microarray analyses.

Methods : Gene microarrays were performed to identify differentially expressed lncRNAs/ mRNAs between normal and DR retinas. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of lncRNA-coexpressed mRNAs were used to determine the related pathological pathways and biological modules. Real-time polymerase chain reactions (PCR) were conducted to validate the microarray analyses.

Results : A total of 2474 significantly dysregulated lncRNAs and 959 differentially expressed mRNAs were identified in the retina of DR. Based upon Signalnet analysis, Bcl2, Gabarapl2, Atg4c, and Atg16I1 participate in DR autophagy. Moreover, real-time PCR revealed significant upregulation of Atg16I1.

Conclusions : This study indicated the importance and potential role of Atg16I1, one of the autophagy genes, as a biomarker in DR development and progression.

This is a 2020 ARVO Annual Meeting abstract.

 

Heat map from microarray analysis of gene expression related to autophagy

Heat map from microarray analysis of gene expression related to autophagy

 

qRT-PCR analysis demonstrating significantly upregulated Atg16I1 compared to control. Atg4c expression was unchanged compared to control.

qRT-PCR analysis demonstrating significantly upregulated Atg16I1 compared to control. Atg4c expression was unchanged compared to control.

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