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DOI 10.1016/j.exer.2020.107916

Медицинская библиотека · Experimental eye research · 2020

High-throughput transcriptional profiling combined with angiogenesis antibody array analysis in an orbital venous malformation cohort.

Chai Peiwei, Yu Jie, Li Yongyun, Shi Yingyun, Fan Xianqun, Jia Renbing

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Orbital venous malformations (OVMs) are the most common benign orbital vascular disorders in adults and are characterized as enlarging encapsulated vascular neoplasms. These painless lesions grow slowly and become symptomatic with proptosis or visual disturbance. However, the pathogenic mechanism and diagnostic markers of OVMs remain poorly understood. To identify potential pathways involved in OVM formation, a cDNA microarray analysis was conducted with OVM samples and normal vascular tissues. These data were deposited in the National Omics Data Encyclopedia (NODE) database (accession number: OER033009). These pathway expression data were further confirmed by reverse transcription qPCR (RT-qPCR) in an OVM cohort. To explore the diagnostic markers in OVM, an angiogenesis antibody array was analyzed. The altered factors were further validated by enzyme-linked immunosorbent assay (ELISA) in the OVM cohort. Transcriptome screening revealed upregulated autophagy and VEGF pathways and downregulated Hippo, Wnt, hedgehog and vascular smooth muscle contraction signaling pathways in OVM samples. Furthermore, plasma EGF (p < 0.001) and Leptin (p < 0.01) levels were significantly elevated in OVM patients. Here, for the first time, we revealed the transcriptional background and plasma diagnostic markers in OVM, providing a novel understanding of OVM pathogenesis and facilitating the early diagnosis of OVM.

Для цитирования: Chai Peiwei, Yu Jie, Li Yongyun, Shi Yingyun, Fan Xianqun, Jia Renbing. High-throughput transcriptional profiling combined with angiogenesis antibody array analysis in an orbital venous malformation cohort.. Experimental eye research. 2020. DOI: 10.1016/j.exer.2020.107916.

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