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HGNC Genes

plexin A2 (1)


SARS-CoV-2 proteins

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    Histopathological assessments reveal retinal vascular changes, inflammation MESHD, and gliosis MESHD in patients with lethal COVID-19 MESHD

    Authors: VIJAY K JIDIGAM; RUPESH SINGH; JULIA C BATOKI; CAROLINE MILLINER; ONKAR B SAWANT; VERA L BONILHA; SUJATA RAO

    doi:10.1101/2021.02.25.21251531 Date: 2021-02-28 Source: medRxiv

    Importance: We are in the midst of the human coronavirus disease 2019 MESHD ( COVID-19 MESHD) pandemic, caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) MESHD, which is of historic proportions, the likes of which we have not seen in 102 years. Despite being primarily a respiratory virus, COVID-19 MESHD can also present with non-respiratory signs, including ocular symptoms as conjunctival hyperemia MESHD, chemosis, epiphora MESHD, increased secretions, ocular pain MESHD, photophobia MESHD and dry eye MESHD. The virus has also been detected within the anterior chamber and in the ocular fluids suggesting that ocular tissue maybe affected due to Sars-CoV-2 infection MESHD. Objective: To assess for histopathological changes within the retina and the choroid and determine the long-term sequelae of the viral infection MESHD. Design, Setting, and Participants: 12 donor eyes from COVID-19 MESHD positive individuals and similar age matched donor eyes from patients with negative test for SARS-CoV-2 were assessed. Eyes were fixed in 4% paraformaldehyde and 0.5% glutaraldehyde in PBS within 6 hours postmortem. Main Outcomes and Measures: Globes were evaluated with macroscopic, SLO MESHD and OCT HGNC imaging. Macula and peripheral regions were processed for epon-embedding and immunocytochemistry with markers for SARS-CoV-2 infection MESHD, gliosis MESHD, inflammation MESHD and vasculature. Results: Fundus analysis shows hemorrhagic spots and increased vitreous debris in several of the COVID-19 MESHD eyes compared to the control. OCT HGNC based measurements indicated an increased trend in retinal thickness in the COVID-19 MESHD eyes, however the difference was not statistically significant. Histology of the retina showed presence of hemorrhages MESHD and central cystoid degeneration MESHD in several of the donors. Whole mount analysis of the retina labeled with markers showed changes in retinal microvasculature, increased inflammation MESHD, and gliosis MESHD in the COVID-19 MESHD eyes compared to the controls. The choroidal vasculature displayed localized changes in density and signs of increased inflammation MESHD in the COVID-19 MESHD samples. Conclusions and Relevance: In situ analysis of the retinal tissue suggested that there are severe subclinical abnormalities MESHD that could be detected in the COVID-19 MESHD eyes. This study provides a rationale for evaluating the ocular physiology of patients that have recovered from COVID-19 MESHD infections to further understand the long-term effects caused by this virus.

    A New Screening Method for COVID-19 MESHD based on Ocular Feature Recognition by Machine Learning Tools

    Authors: Feng Li; Xiangyang Xue; Qiang Sun; Haicheng Tang; Wenxuan Wang; Mengwei Gu; Yanwei Fu

    doi:10.1101/2020.09.03.20184226 Date: 2020-09-10 Source: medRxiv

    The Coronavirus disease 2019 MESHD ( COVID-19 MESHD) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 MESHD screening system. The standard practices for rapid risk screening of COVID-19 MESHD are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 MESHD patients usually accompanied by ocular manifestations consistent with the conjunctivitis MESHD, including conjunctival hyperemia MESHD, chemosis, epiphora MESHD, or increased secretions. After more than four months study, we found that the confirmed cases of COVID-19 MESHD present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 MESHD with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19 MESHD, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 MESHD patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    A New Screening Method for COVID-19 MESHD based on Ocular Feature Recognition by Machine Learning Tools

    Authors: Yanwei Fu; Feng Li; Wenxuan Wang; Haicheng Tang; Xuelin Qian; Mengwei Gu; Xiangyang Xue

    id:2009.03184v1 Date: 2020-09-04 Source: arXiv

    The Coronavirus disease 2019 MESHD ( COVID-19 MESHD) has affected several million people. With the outbreak of the epidemic, many researchers are devoting themselves to the COVID-19 MESHD screening system. The standard practices for rapid risk screening of COVID-19 MESHD are the CT imaging or RT-PCR (real-time polymerase chain reaction). However, these methods demand professional efforts of the acquisition of CT images and saliva samples, a certain amount of waiting time, and most importantly prohibitive examination fee in some countries. Recently, some literatures have shown that the COVID-19 MESHD patients usually accompanied by ocular manifestations consistent with the conjunctivitis MESHD, including conjunctival hyperemia MESHD, chemosis, epiphora MESHD, or increased secretions. After more than four months study, we found that the confirmed cases of COVID-19 MESHD present the consistent ocular pathological symbols; and we propose a new screening method of analyzing the eye-region images, captured by common CCD and CMOS cameras, could reliably make a rapid risk screening of COVID-19 MESHD with very high accuracy. We believe a system implementing such an algorithm should assist the triage management or the clinical diagnosis. To further evaluate our algorithm and approved by the Ethics Committee of Shanghai public health clinic center of Fudan University, we conduct a study of analyzing the eye-region images of 303 patients (104 COVID-19 MESHD, 131 pulmonary, and 68 ocular patients), as well as 136 healthy people. Remarkably, our results of COVID-19 MESHD patients in testing set consistently present similar ocular pathological symbols; and very high testing results have been achieved in terms of sensitivity and specificity. We hope this study can be inspiring and helpful for encouraging more researches in this topic.

    The Prevalence of ocular manifestations and ocular samples polymerase chain reaction positivity in patients with COVID 19 - a systematic review and meta-analysis

    Authors: Soumen Sadhu; Sushmitha Arcot Dandapani; Deepmala Mazumdar; Sangeetha Srinivasan; Jyotirmay Biswas

    doi:10.1101/2020.06.29.20142414 Date: 2020-06-30 Source: medRxiv

    Objective: To estimate the prevalence of ocular manifestations and ocular samples polymerase chain reaction (PCR) positivity among COVID 19 patients. Methods: A systematic literature review was performed using search engines (PubMed, Google Scholar, Medrixv and BioRixv) with keywords SARS CoV MESHD 2, novel coronavirus, COVID 19, ocular manifestations, conjunctival congestion, Ocular detection, Polymerase chain reaction, and conjunctivitis MESHD. The measure of heterogeneity was evaluated with the I2 statistic. The pooled proportion of patients presenting with symptoms and ocular samples PCR positivity was estimated. Results: A total of 20 studies (14 studies and 6 case reports) were included in the systematic review and 14 studies were included in the metaanalysis. The pooled prevalence of conjunctivitis MESHD was 5.17% (95% CI: 2.90 to 8.04). Conjunctivitis MESHD was reported as an initial symptom of the disease in 0.858 % (95% CI: 0.31 to 1.67). Common associated features include itching, chemosis, epiphora MESHD. Seven patients (29 %) with conjunctivitis MESHD showed positive results in ocular samples, whereas 13 patients (54%) showed positive only in their nasopharyngeal samples (NPs) or sputum samples and 4 patients (16 %) were negative for both NPs and Sputum as well as ocular samples. The pooled prevalence of ocular PCR positivity was 2.90 % (95% CI: 1.77 to 4.46) vs. NPs 89.8% (95% CI: 78.80 to 79.0). Conclusion: The prevalence of conjunctivitis MESHD and ocular samples PCR positivity among COVID 19 patients was low indicating that the eye is a less affected organ. However, conjunctivitis MESHD may present as the first symptom of the disease making the patient seek medical care at the earliest.

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MeSH Disease
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SARS-CoV-2 Proteins


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