Prevalence of IgG and IgM to SARS-CoV-2 and other human coronaviruses in The Democratic Republic of Congo, Sierra Leone and Uganda: A Longitudinal Study
Prevalence of IgG and IgM to SARS-CoV-2 and other human coronaviruses in The Democratic Republic of Congo, Sierra Leone and Uganda: A Longitudinal Study
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刚果民主共和国、塞拉利昂和乌干达 SARS-CoV-2 和其他人类冠状病毒 IgG 和 IgM 的流行情况：一项纵向研究
DOI：
10.1101/2023.03.08.23286979
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Lawal B
中科院分区：
文献类型：
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作者：
Lawal B
我们评估了乌干达、塞拉利昂和刚果民主共和国卫生保健中心接种疫苗和未接种疫苗的工作人员中抗四种地方性人类冠状病毒（HCoV）和两种SARS-CoV-2抗原的免疫球蛋白G（IgG）和免疫球蛋白M（IgM）的患病率。（塞拉利昂）和马萨卡区（乌干达）入组。在四个月内的三个时间点收集了血样和血液样本。结果在未接种疫苗的参与者中，在登记时针对SARS-CoV-2 RBD或N-蛋白的IgG/IgM抗体的流行率在戈马为70%（138/196），在坎比亚为89%（112/126），在马萨卡为89%（190/213）。基线时针对地方性HCoV的IgG应答与随访期间的SAR-CoV-2血清获得无关。在接种疫苗的参与者中，与基线时SARS-CoV-2血清阴性的参与者相比，基线时有SARS-CoV-2 IgG/IgM证据的参与者对疫苗接种的IgG反应往往更高，结论高水平的自然免疫和混合免疫应纳入疫苗接种政策和预测模型的影响，随后的感染波，在这些设置.
ObjectivesWe assessed the prevalence of immunoglobulin G (IgG) and immunoglobulin M (IgM) against four endemic human coronaviruses (HCoVs) and two SARS-CoV-2 antigens, among vaccinated and unvaccinated staff at health care centres in Uganda, Sierra Leone, and the Democratic Republic of Congo (DRC).MethodsGovernment health facility staff who had patient contact in Goma (DRC), Kambia District (Sierra Leone), and Masaka District (Uganda) were enrolled. Questionnaires and blood samples were collected at three timepoints over four months. Blood samples were analysed with the Luminex MAGPIX®.ResultsAmong unvaccinated participants, the prevalence of IgG/IgM antibodies against SARS-CoV-2 RBD or N-protein at enrolment was 70% in Goma (138/196), 89% in Kambia (112/126) and 89% in Masaka (190/213). IgG responses against endemic HCoVs at baseline were not associated with SAR-CoV-2 sero-acquisition during follow-up. Among vaccinated participants, those who had evidence of SARS-CoV-2 IgG/IgM at baseline tended to have higher IgG responses to vaccination compared to those SARS-CoV-2 seronegative at baseline, controlling for the time of sample collection since vaccination.ConclusionsThe high levels of natural immunity and hybrid immunity should be incorporated into both vaccination policy and prediction models of the impact of subsequent waves of infection in these settings.