Suppr超能文献

基于阵列的 SARS-CoV-2、其他冠状病毒和流感抗体在 COVID-19 恢复期患者中的分析。

Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients.

机构信息

Biochemistry and Biophysics, USA.

Biomedical Engineering, USA.

出版信息

Biosens Bioelectron. 2020 Dec 1;169:112643. doi: 10.1016/j.bios.2020.112643. Epub 2020 Sep 21.

Abstract

Detection of antibodies to upper respiratory pathogens is critical to surveillance, assessment of the immune status of individuals, vaccine development, and basic biology. The urgent need for antibody detection tools has proven particularly acute in the COVID-19 era. We report a multiplex label-free antigen microarray on the Arrayed Imaging Reflectometry (AIR) platform for detection of antibodies to SARS-CoV-2, SARS-CoV-1, MERS, three circulating coronavirus strains (HKU1, 229E, OC43) and three strains of influenza. We find that the array is readily able to distinguish uninfected from convalescent COVID-19 subjects, and provides quantitative information about total Ig, as well as IgG- and IgM-specific responses.

摘要

对上呼吸道病原体的抗体检测对于监测、评估个体的免疫状态、疫苗开发和基础生物学都至关重要。在 COVID-19 时代,对抗体检测工具的迫切需求已被证明尤为突出。我们报告了一种基于 Arrayed Imaging Reflectometry(AIR)平台的多重无标记抗原微阵列,用于检测 SARS-CoV-2、SARS-CoV-1、MERS、三种循环冠状病毒株(HKU1、229E、OC43)和三种流感病毒株的抗体。我们发现,该阵列能够轻松地区分未感染和康复的 COVID-19 患者,并提供有关总 Ig 以及 IgG 和 IgM 特异性反应的定量信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abd/7522665/acb5e6fee9ea/gr1_lrg.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验