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1.
Proc Natl Acad Sci U S A ; 120(11): e2221713120, 2023 03 14.
Artigo em Inglês | MEDLINE | ID: covidwho-2269470

RESUMO

The recently emerged Omicron subvariants XBB and BQ.1.1 have presented striking immune evasion against most monoclonal neutralizing antibodies and convalescent plasma. Therefore, it is essential to develop broad-spectrum COVID-19 vaccines to combat current and future emerging variants. Here, we found that the human IgG Fc-conjugated RBD of the original SARS-CoV-2 strain (WA1) plus a novel STING agonist-based adjuvant CF501 (CF501/RBD-Fc) could induce highly potent and durable broad-neutralizing antibody (bnAb) responses against Omicron subvariants, including BQ.1.1 and XBB in rhesus macaques with NT50s ranging from 2,118 to 61,742 after three doses. A decline of 0.9- to 4.7-fold was observed in the neutralization activity of sera in the CF501/RBD-Fc group against BA.2.2, BA.2.9, BA.5, BA.2.75, and BF.7 relative to D614G after three doses, while a significant decline of NT50 against BQ.1.1 (26.9-fold) and XBB (22.5-fold) relative to D614G. However, the bnAbs were still effective in neutralizing BQ.1.1 and XBB infection. These results suggest that the conservative but nondominant epitopes in RBD could be stimulated by CF501 to generate bnAbs, providing a proof-of-concept for using "nonchangeable against changeables" strategy to develop pan-sarbecovirus vaccines against sarbecoviruses, including SARS-CoV-2 and its variants.


Assuntos
COVID-19 , Coronavírus Relacionado à Síndrome Respiratória Aguda Grave , Vacinas , Animais , Humanos , SARS-CoV-2 , Anticorpos Neutralizantes , Vacinas contra COVID-19 , Anticorpos Amplamente Neutralizantes , Macaca mulatta , Soroterapia para COVID-19 , Anticorpos Monoclonais , Anticorpos Antivirais , Glicoproteína da Espícula de Coronavírus
3.
BMC Infect Dis ; 22(1): 240, 2022 Mar 10.
Artigo em Inglês | MEDLINE | ID: covidwho-1736349

RESUMO

BACKGROUND: The duration of antibodies against SARS-CoV-2 in Covid-19 patients remains uncertain. Longitudinal serological studies are needed to prevent disease and transmission of the virus. METHODS: In 2020, 414 blood samples were tested, obtained from 157 confirmed Covid-19 patients, in a prospective cohort study in Shanghai. RESULTS: The seropositive rate of IgM peaked at 40.5% (17/42) within 1 month after illness onset and then declined. The seropositive rate of IgG was 90.6% (58/64) after 2 months, remained above 85% from 2 to 9 months and was 90.9% (40/44) after 9 months. Generalized estimating equations models suggested that IgM (P < 0.001) but not IgG significantly decreased over time. Age ≥ 40 years (adjusted odds ratio [aOR] 4.531; 95% confidence interval [CI] 1.879-10.932), and cigarette smoking (aOR 0.344; 95% CI 0.124-0.951) were associated with IgG, and age ≥ 40 years (aOR 2.820; 95% CI 1.579-5.036) was associated with IgM. After seroconversion, over 90% and 75.1% of subjects were estimated to remain IgG-positive 220 and 254 days, respectively. Of 1420 self-reported symptoms questionnaires, only 5% reported symptoms 9 months after onset. CONCLUSIONS: In patients with a history of natural infection, anti-SARS-CoV-2 IgG is long-lived, being present for at least 9 months after illness onset. The long duration of natural immunity can mitigate and eliminate Covid-19 and the ongoing pandemic.


Assuntos
COVID-19 , Adulto , COVID-19/epidemiologia , China/epidemiologia , Humanos , Imunidade , Imunoglobulina M , Estudos Prospectivos , SARS-CoV-2
4.
Disease Surveillance ; 36(7):653-658, 2021.
Artigo em Chinês | GIM | ID: covidwho-1436123

RESUMO

Objective To understand the infection status of human coronavirus (HCoV) in acute respiratory infection cases in Shanghai, and provide scientific basis for prevention and control of human infection with coronavirus. Methods A total of 3 531 samples were collected through acute respiratory infection surveillance in Shanghai from 2015 to 2019, and multiplex PCR technology was used to detect common respiratory viruses. Results In the 3 531 samples, the virus detection rate was 39.73% (1 403/3 531). The detection rate of HCoV was 3.14% (111/3 531), ranking 3rd after the detection rates of influenza virus and rhinovirus/enteric virus. The spread subtypes were mainly HCoV-OC43 and HCoV-NL63. Different subtypes of HCoV spread alternately in the population every year. The incidence of co-infection was as high as 36.93% (41/111), and the proportion of co-infection in severe cases was high. Conclusion HCoV is an important pathogen of acute respiratory tract infection in Shanghai. It is necessary to strengthen the etiological surveillance in acute respiratory tract infection cases, especially the co-infection of HCoV and other pathogens.

5.
Emerg Microbes Infect ; 10(1): 1660-1668, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: covidwho-1343597

RESUMO

The coronavirus disease (COVID-19) pandemic is a major challenge worldwide. However, the epidemic potential of common human coronaviruses (HCoVs) remains unclear. This study aimed to determine the epidemiological and co-infection characteristics of common HCoVs in individuals with influenza-like illness (ILI) and severe acute respiratory infection (SARI). This retrospective, observational, multicentre study used data collected from patients admitted to nine sentinel hospitals with ILI and SARI from January 2015 through December 2020 in Shanghai, China. We prospectively tested patients for a total of 22 respiratory pathogens using multi-real-time polymerase chain reaction. Of the 4541 patients tested, 40.37% (1833/4541) tested positive for respiratory pathogens and 3.59% (163/4541) tested positive for common HCoVs. HCoV infection was more common in the non-endemic season for respiratory pathogens (odds ratio: 2.33, 95% confidence interval: 1.64-3.31). HCoV-OC43 (41.72%, 68/163) was the most common type of HCoV detected. The co-infection rate was 31.29% (51/163) among 163 HCoV-positive cases, with HCoV-229E (53.13%, 17/32), the HCoV type that was most frequently associated with co-infection. Respiratory pathogens responsible for co-infections with HCoVs included parainfluenza virus, rhinovirus/enterovirus, influenza A virus, and adenovirus. Furthermore, we identified one patient co-infected with HCoV-OC43 and HCoV-NL63/HKU1. The prevalence of common HCoVs remains low in ILI/SARI cases, in Shanghai. However, the seasonal pattern of HCoVs may be opposite to that of other respiratory pathogens. Moreover, HCoVs are likely to co-exist with specific respiratory pathogens. The potential role of co-infections with HCoVs and other pathogenic microorganisms in infection and pathogenesis of ILI and SARI warrants further study.


Assuntos
Alphacoronavirus , COVID-19/epidemiologia , COVID-19/virologia , Coinfecção/epidemiologia , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/virologia , SARS-CoV-2 , Adulto , Idoso , Idoso de 80 Anos ou mais , Alphacoronavirus/classificação , Alphacoronavirus/genética , COVID-19/diagnóstico , COVID-19/história , China/epidemiologia , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/história , Feminino , História do Século XXI , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , Vigilância em Saúde Pública , Estudos Retrospectivos , SARS-CoV-2/classificação , SARS-CoV-2/genética , Estações do Ano
6.
Biosaf Health ; 3(4): 187-189, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: covidwho-1252531

RESUMO

The global spread of SARS-CoV-2 is currently continuing, and the World Health Organization has announced the risk assessment of the viruses as high. In this study, we analyzed virology features of SARS-CoV-2 causing a family cluster outbreak. Among the six family members, five have been laboratory-confirmed infection of SARS-CoV-2 viruses. A total of five SARS-CoV-2 viruses have been isolated from the nasopharyngeal swabs. The complete genome of the viruses exhibited 100% nucleotide identity with each other. Only two nucleotide differences have been observed between genomes of the isolated viruses and the HCoV/Wuhan/ IVDC-HB-01/2019 strain. Therefore, SARS-CoV-2 has been confirmed as the causation of the family cluster infections.

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