Cargando…
Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles
In the situation of mass vaccination against COVID-19, few studies have reported on the early kinetics of specific antibodies (IgG/IgM/IgA) of vaccine breakthrough cases. There is still a lack of epidemiological evidence about the value of serological indicators in the auxiliary diagnosis of COVID-1...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433813/ https://www.ncbi.nlm.nih.gov/pubmed/37432106 http://dx.doi.org/10.1128/spectrum.01808-23 |
_version_ | 1785091733691826176 |
---|---|
author | Zhang, Shihan Dong, Chen Zhen, Qian Shi, Chao Tian, Hua Li, Chuchu Kong, Xiaoxiao Dai, Qigang Huang, Haodi Simayi, Aidibai Zhu, Fengcai Xu, Yawen Hu, Jianli Xu, Ke Chen, Liling Bao, Changjun Jin, Hui Zhu, Liguo |
author_facet | Zhang, Shihan Dong, Chen Zhen, Qian Shi, Chao Tian, Hua Li, Chuchu Kong, Xiaoxiao Dai, Qigang Huang, Haodi Simayi, Aidibai Zhu, Fengcai Xu, Yawen Hu, Jianli Xu, Ke Chen, Liling Bao, Changjun Jin, Hui Zhu, Liguo |
author_sort | Zhang, Shihan |
collection | PubMed |
description | In the situation of mass vaccination against COVID-19, few studies have reported on the early kinetics of specific antibodies (IgG/IgM/IgA) of vaccine breakthrough cases. There is still a lack of epidemiological evidence about the value of serological indicators in the auxiliary diagnosis of COVID-19 infection, especially when the nucleic acid results were undetectable. Omicron breakthrough cases post-inactivated vaccination (n = 456) and COVID-19-naive individuals with two doses of inactivated vaccination (n = 693) were enrolled. Blood samples were collected and tested for SARS-CoV-2 antibody levels based on the magnetic chemiluminescence enzyme immunoassay. Among Omicron breakthrough cases, the serum IgG antibody level was 36.34 Sample/CutOff (S/CO) (95% confidence interval [CI], 31.89 to 40.79) in the acute phase and 88.45 S/CO (95% CI, 82.79 to 94.12) in the recovery phase. Serum IgA can be detected in the first week post-symptom onset (PSO) and showed an almost linear increase within 5 weeks PSO. Compared with those of breakthrough cases, IgG and IgA titers of the postimmune group were much lower (4.70 S/CO and 0.46 S/CO, respectively). Multivariate regression showed that serum IgG and IgA levels in Omicron breakthrough cases were mainly affected by the weeks PSO (P < 0.001). Receiver operating characteristic ROC0 curve analysis showed that the area under the curve (AUC) was 0.744 and 0.806 when the cutoff values of IgA and IgG were 1 S/CO and 15 S/CO, respectively. Omicron breakthrough infection can lead to a further increase in IgG and IgA levels relative to those of the immunized population. When nucleic acid real-time PCR was negative, we would use the kinetics of IgG and IgA levels to distinguish the breakthrough cases from the immunized population. IMPORTANCE This study fills a gap in the epidemiological evidence by investigating the value of serological indicators, particularly IgG and IgA levels, in the auxiliary diagnosis of COVID-19 infections when nucleic acid results are undetectable. The findings reveal that among Omicron breakthrough cases, both IgG and IgA antibody levels exhibit significant changes. Serum IgG levels increase during the acute phase and rise further in the recovery phase. Serum IgA can be detected as early as the first week post-symptom onset (PSO), showing a consistent linear increase within 5 weeks PSO. Furthermore, receiver operating characteristic (ROC) curve analysis demonstrates the potential of IgG and IgA cutoff values as diagnostic markers. The study’s conclusion underscores the importance of monitoring IgG and IgA kinetics in distinguishing Omicron breakthrough cases from vaccinated individuals. These findings contribute to the development of more accurate diagnostic approaches and help inform public health strategies during the ongoing COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-10433813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-104338132023-08-18 Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles Zhang, Shihan Dong, Chen Zhen, Qian Shi, Chao Tian, Hua Li, Chuchu Kong, Xiaoxiao Dai, Qigang Huang, Haodi Simayi, Aidibai Zhu, Fengcai Xu, Yawen Hu, Jianli Xu, Ke Chen, Liling Bao, Changjun Jin, Hui Zhu, Liguo Microbiol Spectr Research Article In the situation of mass vaccination against COVID-19, few studies have reported on the early kinetics of specific antibodies (IgG/IgM/IgA) of vaccine breakthrough cases. There is still a lack of epidemiological evidence about the value of serological indicators in the auxiliary diagnosis of COVID-19 infection, especially when the nucleic acid results were undetectable. Omicron breakthrough cases post-inactivated vaccination (n = 456) and COVID-19-naive individuals with two doses of inactivated vaccination (n = 693) were enrolled. Blood samples were collected and tested for SARS-CoV-2 antibody levels based on the magnetic chemiluminescence enzyme immunoassay. Among Omicron breakthrough cases, the serum IgG antibody level was 36.34 Sample/CutOff (S/CO) (95% confidence interval [CI], 31.89 to 40.79) in the acute phase and 88.45 S/CO (95% CI, 82.79 to 94.12) in the recovery phase. Serum IgA can be detected in the first week post-symptom onset (PSO) and showed an almost linear increase within 5 weeks PSO. Compared with those of breakthrough cases, IgG and IgA titers of the postimmune group were much lower (4.70 S/CO and 0.46 S/CO, respectively). Multivariate regression showed that serum IgG and IgA levels in Omicron breakthrough cases were mainly affected by the weeks PSO (P < 0.001). Receiver operating characteristic ROC0 curve analysis showed that the area under the curve (AUC) was 0.744 and 0.806 when the cutoff values of IgA and IgG were 1 S/CO and 15 S/CO, respectively. Omicron breakthrough infection can lead to a further increase in IgG and IgA levels relative to those of the immunized population. When nucleic acid real-time PCR was negative, we would use the kinetics of IgG and IgA levels to distinguish the breakthrough cases from the immunized population. IMPORTANCE This study fills a gap in the epidemiological evidence by investigating the value of serological indicators, particularly IgG and IgA levels, in the auxiliary diagnosis of COVID-19 infections when nucleic acid results are undetectable. The findings reveal that among Omicron breakthrough cases, both IgG and IgA antibody levels exhibit significant changes. Serum IgG levels increase during the acute phase and rise further in the recovery phase. Serum IgA can be detected as early as the first week post-symptom onset (PSO), showing a consistent linear increase within 5 weeks PSO. Furthermore, receiver operating characteristic (ROC) curve analysis demonstrates the potential of IgG and IgA cutoff values as diagnostic markers. The study’s conclusion underscores the importance of monitoring IgG and IgA kinetics in distinguishing Omicron breakthrough cases from vaccinated individuals. These findings contribute to the development of more accurate diagnostic approaches and help inform public health strategies during the ongoing COVID-19 pandemic. American Society for Microbiology 2023-07-11 /pmc/articles/PMC10433813/ /pubmed/37432106 http://dx.doi.org/10.1128/spectrum.01808-23 Text en Copyright © 2023 Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Zhang, Shihan Dong, Chen Zhen, Qian Shi, Chao Tian, Hua Li, Chuchu Kong, Xiaoxiao Dai, Qigang Huang, Haodi Simayi, Aidibai Zhu, Fengcai Xu, Yawen Hu, Jianli Xu, Ke Chen, Liling Bao, Changjun Jin, Hui Zhu, Liguo Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title | Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title_full | Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title_fullStr | Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title_full_unstemmed | Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title_short | Unveiling a New Perspective on Distinguishing Omicron Breakthrough Cases and Postimmune COVID-19-Naive Individuals: Insights from Antibody Profiles |
title_sort | unveiling a new perspective on distinguishing omicron breakthrough cases and postimmune covid-19-naive individuals: insights from antibody profiles |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433813/ https://www.ncbi.nlm.nih.gov/pubmed/37432106 http://dx.doi.org/10.1128/spectrum.01808-23 |
work_keys_str_mv | AT zhangshihan unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT dongchen unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT zhenqian unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT shichao unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT tianhua unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT lichuchu unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT kongxiaoxiao unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT daiqigang unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT huanghaodi unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT simayiaidibai unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT zhufengcai unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT xuyawen unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT hujianli unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT xuke unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT chenliling unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT baochangjun unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT jinhui unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles AT zhuliguo unveilinganewperspectiveondistinguishingomicronbreakthroughcasesandpostimmunecovid19naiveindividualsinsightsfromantibodyprofiles |