Circular RNA expression and the competitive endogenous RNA network in pathological,age-related macular degeneration events:A cross-platform normalization study

Age-related macular degeneration(AMD)causes irreversible blindness in people aged over 50 worldwide.The dysfunction of the retinal pigment epithelium is the primary cause of atrophic AMD.In the current study,we used the ComBat and Training Distribution Matching method to integrate data obtained from the Gene Expression Omnibus database.We analyzed the integrated sequencing data by the Gene Set Enrichment Analysis.Peroxisome and tumor necrosis factor-α(TNF-α)signaling and nuclear factor kappa B(NF-κB)were among the top 10 pathways,and thus we selected them to construct AMD cell models to identify differentially expressed circular RNAs(circRNAs).We then constructed a competing endogenous RNA network,which is related to differentially expressed circRNAs.This network included seven circRNAs,15 microRNAs,and 82 mRNAs.The Kyoto Encyclopedia of Genes and Genomes analysis of mRNAs in this network showed that the hypoxia-inducible factor-1(HIF-1)signaling pathway was a common downstream event.The results of the current study may provide insights into the pathological processes of atrophic AMD.

Non-invasive and low-artifact in vivo brain imaging by using a scanning acoustic-photoacoustic dual mode microscopy

Photoacoustic imaging is a potential candidate for in vivo brain imaging,whereas,its imaging performance could be degraded by inhomogeneous multi-layered media,consisted of scalp and skull.In this work,we propose a low-artifact photoacoustic microscopy(LAPAM)scheme,which combines conventional acoustic-resolution photoacoustic microscopy with scanning acoustic microscopy to suppress the reflection artifacts induced by multi-layers.Based on similar propagation characteristics of photoacoustic signals and ultrasonic echoes,the ultrasonic echoes can be employed as the filters to suppress the reflection artifacts to obtain low-artifact photoacoustic images.Phantom experiment is used to validate the effectiveness of this method.Furthermore,LAPAM is applied for in-vivo imaging mouse brain without removing the scalp and the skull.Experimental results show that the proposed method successfully achieves the low-artifact brain image,which demonstrates the practical applicability of LAPAM.This work might improve the photoacoustic imaging quality in many biomedical applications which involve tissues with complex acoustic properties,such as brain imaging through scalp and skull.

Automated segmentation of intraretinal cystoid macular edema based on Gaussian mixture model

We introduce a method based on Gaussian mixture model(GMM)clustering and level-set to automatically detect intraretina fluid on diabetic retinopathy(DR)from spectral domain optical coherence tomography(SD-OCT)images in this paper.First,each B-scan is segmented using GMM clustering.The original chustering results are refined using location and thickness infor-mation.Then,the spatial information among every consecutive five B-scans is used to search potential fluid.Finally,the improved level-set method is used to obtain the accurate boundaries.The high sensitivity and accuracy demonstrated here show its potential for detection of fluid.