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We applied a deep convolutional neural network model for automatic identification of ellipsoid zone EZ in spectral domain optical coherence tomography Bscans of retinitis pigmentosa RP Midline Bscans having visible EZ from 220 patients with RP and 20 normal subjects were manually segmented for inner limiting membrane inner nuclear layer EZ retinal pigment epithelium and Bruchs membrane A total of 287 million labeled image patches 33 33 pixels extracted from 480 Bscans were used for training a convolutional neural network model implemented in MATLAB Bscans from a separate group of 80 patients with RP were used for testing the model A local connected area searching algorithm was developed to process the model output for reconstructing layer boundaries Correlation and BlandAltman analyses were conducted to compare EZ width measured by the model to those by manual segmentation The accuracy of the trained model to identify inner limiting membrane inner nuclear layer EZ retinal pigment epithelium and Bruchs membrane patches in the test dataset was 98 89 91 94 and 96 respectively The EZ width measured by the model was highly correlated with that by two graders r 097 00001 BlandAltman analysis revealed a mean EZ width difference of 030 mm coefficient of repeatability 09 mm between the model and the graders comparable to the mean difference of 034mm coefficient of repeatability 08 mm between two graders The results demonstrated the capability of a deep machine learningbased method for automatic identification of EZ in RP suggesting that the method can be used to quantify structural deficits in RP for detecting disease progression and for evaluating treatment effect A deep machine learning model has the potential to replace humans for grading spectral domain optical coherence tomography images in RP A deep machine learning model has the potential to replace humans for grading spectral domain optical coherence tomography images in RPSARSCoV2 has resulted in numerous cases of Coronavirus Disease 2019 COVID19 worldwide In addition to fever and respiratory symptoms digestive symptoms also are observed in some patients with COVID19 Angiotensinconverting enzyme 2 ACE2 was reported to be the receptor for SARSCoV2 The aim of this study was to comprehensively investigate the digestive symptoms that occur in COVID19 patients and the potential pathogenic route of the SARSCoV2 infection in digestive tract organs from the oral cavity to the gastrointestinal tract We investigated the digestive symptoms of 48 patients with COVID19 and explored ACE2 expression in digestive tract and lung cancers based on a series of bulk and singlecell RNA sequencing data obtained from public databases We found that 25 1248 of the patients with COVID19 suffered from digestive symptoms among which pharyngalgia 748 was the most common manifestation followed by diarrhea 348 anorexia 348 and nausea 148 The bulk tissue RNA sequencing analysis indicated that digestive tract organs had higher ACE2 expression levels compared to the lung and the expression of ACE2 in the lung increased with age Singlecell RNASeq results showed that the ACE2positivecell ratio in digestive tract organs was significantly higher compared to the lung ACE2 expression was higher in tumor cells compared to normal control NC tissues While in gastric tissues ACE2 expression gradually increased from chronic gastritis to metaplasia to early cancer Our data might provide a theoretical basis for screening the SARSCoV2 susceptible population and for the clinical classification of treatment of patients with COVID19We aimed to investigate the exact effect of IL17 on regulating neural stem cells NSCs stemness and adult neurogenesis in ischemic cortex after stroke how Astragaloside IVAsIV regulated IL17 expression and the underlying mechanism Photochemical brain ischemia model was established and IL17 protein expression was observed at different time after stroke in WT mice At 3 days after stroke when IL17 expression peaked IL17 knock out KO mice were used to observe cell proliferation and neurogenesis in ischemic cortex Then AsIV was administered intravenously to assess cell apoptosis proliferation neurogenesis and cognitive deficits by immunochemistry staining western blots and animal behavior tests in WT mice Furthermore IL17 KO mice and AsIV were used simultaneously to evaluate the mechanism of cell apoptosis and proliferation after stroke in vivo Besides in vitro AsIV and recombinant mouse IL17A was administered respectively into NSCs culture and then their diameters viable cell proliferation and pathway relevant protein was assessed The results showed knocking out IL17 contributed to regulating PI3KAkt pathway promoting NSCs proliferation and neurogenesis after ischemic stroke Moreover AsIV treatment helped inhibit neural apoptosis promote the neurogenesis and eventually relieve mice anxiety after stroke Unsurprisingly IL17 protein expression could be downregulated by AsIV in vivo and in vitro and they exerted antagonistic effect on neurogenesis by regulating AktGSK3β pathway with significant regulation for apoptosis BI3802 chemical structure In conclusion IL17 exerts negative effect on promoting NSCs proliferation neurogenesis and cognitive deficits after ischemic stroke which could be reversed by AsIVNeonatal maternal separation NMS as an earlylife stress ELS is a risk factor to develop emotional disorders However the exact mechanisms remain to be defined In the present study we investigated the mechanisms involved in developing emotional disorders caused by NMS First we confirmed that NMS provoked impulsive behavior orienting and nonselective attentiondeficit abnormal grooming and depressivelike behaviors in adolescence Excitatory amino acid carrier 1 EAAC1 is an excitatory amino acid transporter expressed specifically by neurons and is the route for the neuronal uptake of glutamateaspartatecysteine Compared with that in the normal control group EAAC1 expression was remarkably reduced in the ventral hippocampus and cerebral cortex in the NMS group Additionally EAAC1 expression was reduced in parvalbuminpositive hippocampal GABAergic neurons in the NMS group We also found that EAAC1knockout EAAC1 mice exhibited impulsivelike nonselective attentiondeficit and depressivelike behaviors compared with WT mice in adolescence characteristics similar to those of the NMS behavior phenotype