{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T05:11:00Z","timestamp":1778735460279,"version":"3.51.4"},"reference-count":35,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Circular RNAs (circRNAs), a conserved class of non\u2212coding RNAs, are hypothesized to play functional roles in diabetic retinopathy (DR), yet their expression landscape and molecular involvement in retinal tissue remain poorly defined.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A streptozotocin\u2212induced diabetic mouse model (C57BL\/6J, male, n=40) was established, with diabetes confirmed by persistent hyperglycemia (fasting blood glucose &amp;gt;300 mg\/dL). Retinal function was assessed by electroretinography (ERG) and vascular pathology by fluorescein fundus angiography (FFA) at 12 weeks post\u2212induction. Retinal circRNA profiles were obtained via microarray analysis. Bioinformatic tools were used to predict circRNA-miRNA interactions, and Gene Ontology (GO) analysis was applied to annotate potential target genes. Differential expression of selected circRNAs was validated by quantitative PCR (qPCR).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Diabetic mice exhibited sustained hyperglycemia, reduced body weight, significant declines in ERG a and b wave amplitudes, and early microangiopathy evident on FFA. Microarray profiling identified 21 dysregulated circRNAs (3 upregulated, 18 downregulated), classified as antisense, exonic, intronic, or intragenic. Bioinformatics reconstruction revealed a circRNA-miRNA network with shared microRNAs (miRNAs), and GO enrichment highlighted processes including transcriptional regulation and cancer\u2212related signaling. qPCR confirmed the expression changes of four circRNAs. Cross\u2212species alignment showed high sequence homology between four murine circRNAs and human orthologs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study identifies 21 conserved circRNAs with altered expression in the diabetic retina, supporting their potential role as competitive endogenous RNAs (ceRNAs) and implicating them in DR pathogenesis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2026.1804009","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T04:27:26Z","timestamp":1778732846000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Profiling dysregulated circRNA expression in diabetic retinopathy: elucidating putative mediators via a streptozotocin-induced mouse 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