Serological responses to SARS-CoV-2 following non-hospitalised infection: clinical and ethnodemographic features associated with the magnitude of the antibody response.
Serological responses to SARS-CoV-2 following non-hospitalised infection: clinical and ethnodemographic features associated with the magnitude of the antibody response.
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非住院感染后对 SARS-CoV-2 的血清学反应：与抗体反应程度相关的临床和民族特征。
DOI：
10.1136/bmjresp-2020-000872
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发表时间：
2021-09
影响因子：
4.1
通讯作者：
Richter AG
中科院分区：
文献类型：
--
作者：
Shields AM;Faustini SE;Perez-Toledo M;Jossi S;Allen JD;Al-Taei S;Backhouse C;Dunbar LA;Ebanks D;Emmanuel B;Faniyi AA;Garvey M;Grinbergs A;McGinnell G;O'Neill J;Watanabe Y;Crispin M;Wraith DC;Cunningham AF;Drayson MT;Richter AG
目的：确定轻至中度新冠肺炎患者对SARS-CoV-2刺激性糖蛋白的血清学应答与临床和人口学的相关性。一项针对因新冠肺炎而自我隔离的医护人员的回顾性队列研究。英国伯明翰大学医院NHS基金会信托基金(UHBFT)。在2020年4月27日至2020年6月8日期间，通过UHBFT信托电子邮件和社交媒体公开邀请招聘了956名医护人员。参与者自愿采集静脉血样本，进行抗SARS-CoV-2刺激性糖蛋白抗体检测。根据他们的原始疾病症状和人口学变量对结果进行解释。采用同时检测针对尖峰糖蛋白(IgGAM)的IgG、IgA和IgM联合反应的方法，该队列中的总血清阳性率为46.2%(n=442/956)。免疫球蛋白各亚型的血清阳性率分别为36.3%、18.7%和8.1%。在40.6%(n=52/128)的SARS-CoV-2聚合酶链式反应阴性的有症状个体中，IgGAM确定了血清学反应。年龄增加、非白人种族和肥胖独立地与针对尖峰糖蛋白的更强的抗体应答相关。自我报告的发热和疲乏与针对尖峰糖蛋白的较强的免疫球蛋白和免疫球蛋白反应有关。在武汉株SARS-CoV-2占主导地位时，发热和/或咳嗽和/或嗅觉障碍的组合对自我隔离个体血清阳性的阳性预测值为92.3%。采用联合抗体检测的检测方法显示了更高的血清流行病学敏感性，即使在聚合酶链式反应拭子呈阴性的情况下，也可以检测到先前的病毒暴露。我们证明了已知的与新冠肺炎死亡率相关的人口学风险因素与轻中度疾病的血清学反应的大小之间的关联。
To determine clinical and ethnodemographic correlates of serological responses against the SARS-CoV-2 spike glycoprotein following mild-to-moderate COVID-19. A retrospective cohort study of healthcare workers who had self-isolated due to COVID-19. University Hospitals Birmingham NHS Foundation Trust, UK (UHBFT). 956 healthcare workers were recruited by open invitation via UHBFT trust email and social media between 27 April 2020 and the 8 June 2020. Participants volunteered a venous blood sample that was tested for the presence of anti-SARS-CoV-2 spike glycoprotein antibodies. Results were interpreted in the context of the symptoms of their original illness and ethnodemographic variables. Using an assay that simultaneously measures the combined IgG, IgA and IgM response against the spike glycoprotein (IgGAM), the overall seroprevalence within this cohort was 46.2% (n=442/956). The seroprevalence of immunoglobulin isotypes was 36.3%, 18.7% and 8.1% for IgG, IgA and IgM, respectively. IgGAM identified serological responses in 40.6% (n=52/128) of symptomatic individuals who reported a negative SARS-CoV-2 PCR test. Increasing age, non-white ethnicity and obesity were independently associated with greater IgG antibody response against the spike glycoprotein. Self-reported fever and fatigue were associated with greater IgG and IgA responses against the spike glycoprotein. The combination of fever and/or cough and/or anosmia had a positive predictive value of 92.3% for seropositivity in self-isolating individuals a time when Wuhan strain SARS-CoV-2 was predominant. Assays employing combined antibody detection demonstrate enhanced seroepidemiological sensitivity and can detect prior viral exposure even when PCR swabs have been negative. We demonstrate an association between known ethnodemographic risk factors associated with mortality from COVID-19 and the magnitude of serological responses in mild-to-moderate disease.
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DOI：
10.1084/jem.20081571
发表时间：
2009-01-16
期刊：
The Journal of experimental medicine
影响因子：
--
作者：
Dienz O;Eaton SM;Bond JP;Neveu W;Moquin D;Noubade R;Briso EM;Charland C;Leonard WJ;Ciliberto G;Teuscher C;Haynes L;Rincon M
通讯作者：
Rincon M
危及生命的Covid-19患者中针对I型IFN的自身抗体。
DOI：
10.1126/science.abd4585
发表时间：
2020-10-23
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bastard P;Rosen LB;Zhang Q;Michailidis E;Hoffmann HH;Zhang Y;Dorgham K;Philippot Q;Rosain J;Béziat V;Manry J;Shaw E;Haljasmägi L;Peterson P;Lorenzo L;Bizien L;Trouillet-Assant S;Dobbs K;de Jesus AA;Belot A;Kallaste A;Catherinot E;Tandjaoui-Lambiotte Y;Le Pen J;Kerner G;Bigio B;Seeleuthner Y;Yang R;Bolze A;Spaan AN;Delmonte OM;Abers MS;Aiuti A;Casari G;Lampasona V;Piemonti L;Ciceri F;Bilguvar K;Lifton RP;Vasse M;Smadja DM;Migaud M;Hadjadj J;Terrier B;Duffy D;Quintana-Murci L;van de Beek D;Roussel L;Vinh DC;Tangye SG;Haerynck F;Dalmau D;Martinez-Picado J;Brodin P;Nussenzweig MC;Boisson-Dupuis S;Rodríguez-Gallego C;Vogt G;Mogensen TH;Oler AJ;Gu J;Burbelo PD;Cohen JI;Biondi A;Bettini LR;D'Angio M;Bonfanti P;Rossignol P;Mayaux J;Rieux-Laucat F;Husebye ES;Fusco F;Ursini MV;Imberti L;Sottini A;Paghera S;Quiros-Roldan E;Rossi C;Castagnoli R;Montagna D;Licari A;Marseglia GL;Duval X;Ghosn J;HGID Lab;NIAID-USUHS Immune Response to COVID Group;COVID Clinicians;COVID-STORM Clinicians;Imagine COVID Group;French COVID Cohort Study Group;Milieu Intérieur Consortium;CoV-Contact Cohort;Amsterdam UMC Covid-19 Biobank;COVID Human Genetic Effort;Tsang JS;Goldbach-Mansky R;Kisand K;Lionakis MS;Puel A;Zhang SY;Holland SM;Gorochov G;Jouanguy E;Rice CM;Cobat A;Notarangelo LD;Abel L;Su HC;Casanova JL
通讯作者：
Casanova JL
影响因子：
82.9
作者：
Long, Quan-Xin;Liu, Bai-Zhong;Huang, Ai-Long
通讯作者：
Huang, Ai-Long
影响因子：
--
作者：
Karlsson, Johanna;Roalfe, Lucy;Wenneras, Christine
通讯作者：
Wenneras, Christine
影响因子：
14.3
作者：
Rodriguez, Lucie;Pekkarinen, Pirkka T.;Brodin, Petter
通讯作者：
Brodin, Petter