《Nature,12月29日,In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2021-02-03
  • In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients
    Joonho Park, Hyeyoon Kim, So Yeon Kim, Yeonjae Kim, Jee-Soo Lee, Kisoon Dan, Moon-Woo Seong & Dohyun Han
    Scientific Reports volume 10, Article number: 22418 (2020)

    Abstract
    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over forty million patients worldwide. Although most coronavirus disease 2019 (COVID-19) patients have a good prognosis, some develop severe illness. Markers that define disease severity or predict clinical outcome need to be urgently developed as the mortality rate in critical cases is approximately 61.5%. In the present study, we performed in-depth proteome profiling of undepleted plasma from eight COVID-19 patients. Quantitative proteomic analysis using the BoxCar method revealed that 91 out of 1222 quantified proteins were differentially expressed depending on the severity of COVID-19. Importantly, we found 76 proteins, previously not reported, which could be novel prognostic biomarker candidates. Our plasma proteome signatures captured the host response to SARS-CoV-2 infection, thereby highlighting the role of neutrophil activation, complement activation, platelet function, and T cell suppression as well as proinflammatory factors upstream and downstream of interleukin-6, interleukin-1B, and tumor necrosis factor. Consequently, this study supports the development of blood biomarkers and potential therapeutic targets to aid clinical decision-making and subsequently improve prognosis of COVID-19.

  • 原文来源:https://www.nature.com/articles/s41598-020-80120-8
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  • 《MedRxiv,3月9日,Comparison of severe and non-severe COVID-19 pneumonia: review and meta-analysis》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-10
    • Comparison of severe and non-severe COVID-19 pneumonia: review and meta-analysis Weiping Ji, Jing Zhang, Gautam Bishnu, Xudong Du, Xinxin Chen, Hui Xu, Xiaoling Guo, Zhenzhai Cai, Xian Shen doi: https://doi.org/10.1101/2020.03.04.20030965 Abstract Objective: To compare the difference between severe and non-severe COVID-19 pneumonia and figure out the potential symptoms lead to severity. Methods: Articles from PubMed, Embase, Cochrane database, and google up-to 24 February 2020 were systematically reviewed. Eighteen Literatures were identified with cases of COVID-19 pneumonia. The extracted data includes clinical symptoms, age, gender, sample size and region et al were systematic reviewed and meta analyzed. Results: 14 eligible studies including 1,424 patients were analyzed. Symptoms like fever (89.2%), cough (67.2%), fatigue (43.6%) were common, dizziness, hemoptysis, abdominal pain and conjunctival congestion/conjunctivitis were rare. *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.
  • 《12月29日_不同疾病程度的COVID-19患者的血浆蛋白功能特征》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2021-02-03
    • 韩国首尔大学和韩国国家医学中心的研究人员12月29日在期刊Scientific Reports上在线发表了题为“In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients”的文章。 文章称,尽管大多数COVID-19患者的预后良好,但仍有一些患者病情加重。COVID-19重症患者的死亡率约为61.5%,因此需要紧急开发定义疾病严重程度或预测临床结果的指标。研究人员对8名COVID-19患者的未净化血浆进行了深入的蛋白质组学分析。使用BoxCar方法进行了定量的蛋白质组学分析,结果表明发现1222个定量的蛋白中,有91个蛋白根据COVID-19的严重程度而有不同的表达。更重要的是,研究人员发现了76种以前没有被报道过的蛋白质,这些可能是新的预后生物标志物候选物。血浆蛋白质组学特征捕获了宿主对SARS-CoV-2感染的反应,强调了中性粒细胞活化、补体活化、血小板功能、T细胞抑制以及白细胞介素6、白细胞介素1B和肿瘤坏死因子上游和下游的促炎因子的作用。因此,这项研究支持开发血液生物标志物和潜在治疗靶标,以帮助临床决策,进而改善COVID-19的预后。 原文链接:https://www.nature.com/articles/s41598-020-80120-8