A Pilot Study on MicroRNA Profile in Tear Fluid to Predict Response to Anti-VEGF Treatments for Diabetic Macular Edema.
A Pilot Study on MicroRNA Profile in Tear Fluid to Predict Response to Anti-VEGF Treatments for Diabetic Macular Edema.
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DOI:
10.3390/jcm9092920
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发表时间:
2020-09-10
影响因子:
3.9
通讯作者:
Su X
中科院分区:
文献类型:
--
作者:
Chan HW;Yang B;Wong W;Blakeley P;Seah I;Tan QSW;Wang H;Bhargava M;Lin HA;Chai CH;Mangunkusumo EA;Thet N;Yuen YS;Sethi R;Wang S;Hunziker W;Lingam G;Su X
(1) Background: Intravitreal anti-vascular endothelial growth factor (anti-VEGF) is an established treatment for center-involving diabetic macular edema (ci-DME). However, the clinical response is heterogeneous. This study investigated miRNAs as a biomarker to predict treatment response to anti-VEGF in DME. (2) Methods: Tear fluid, aqueous, and blood were collected from patients with treatment-naïve DME for miRNA expression profiling with quantitative polymerase chain reaction. Differentially expressed miRNAs between good and poor responders were identified from tear fluid. Bioinformatics analysis with the miEAA tool, miRTarBase Annotations, Gene Ontology categories, KEGG, and miRWalk pathways identified interactions between enriched miRNAs and biological pathways. (3) Results: Of 24 participants, 28 eyes received bevacizumab (15 eyes) or aflibercept (13 eyes). Tear fluid had the most detectable miRNA species (N = 315), followed by serum (N = 309), then aqueous humor (N = 134). MiRNAs that correlated with change in macular thickness were miR-214-3p, miR-320d, and hsa-miR-874-3p in good responders; and miR-98-5p, miR-196b-5p, and miR-454-3p in poor responders. VEGF-related pathways and the angiogenin-PRI complex were enriched in good responders, while transforming growth factor-β and insulin-like growth factor pathways were enriched in poor responders. (4) Conclusions: We reported a panel of novel miRNAs that provide insight into biological pathways in DME. Validation in larger independent cohorts is needed to determine the predictive performance of these miRNA candidate biomarkers.
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影响因子:
10.8
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Bates DO
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Bates DO
影响因子:
8.1
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Jampol LM;Glassman AR;Bressler NM;Wells JA;Ayala AR;Diabetic Retinopathy Clinical Research Network
通讯作者:
Diabetic Retinopathy Clinical Research Network
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14.9
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通讯作者:
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