Evidence map›Paper›PMID 37654488›Full record

ArticleFrontiers in immunology2023

Effect of seasonal coronavirus immune imprinting on the immunogenicity of inactivated COVID-19 vaccination.

Di Yin, Zirong Han, Bing Lang, Yanjun Li, Guoqin Mai, Hongbiao Chen, Liqiang Feng, Yao-Qing Chen, Huanle Luo, Yaming Xiong and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

Di YinSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Zirong HanSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Bing LangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Yanjun LiEmergency Manage Department, Foshan, China.
Guoqin MaiSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Hongbiao ChenDepartment of Epidemiology and Infectious Disease Control, Shenzhen, China.
Liqiang FengState Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences, Guangzhou, China.
Yao-Qing ChenSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Huanle LuoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Yaming XiongInstitute of Clinical Medicine, First People's Hospital of Foshan, Foshan, China.
Lin JingInstitute of Clinical Medicine, First People's Hospital of Foshan, Foshan, China.
Xiangjun DuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Yuelong ShuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Caijun SunSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CNFirst People's Hospital of Foshan · CNFoshan University · CNNational Health and Family Planning Commission · CNShenzhen Center for Disease Control and Prevention · CNState Key Laboratory of Respiratory Disease · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pre-existing cross-reactive immunity among different coronaviruses, also termed immune imprinting, may have a comprehensive impact on subsequent SARS-CoV-2 infection and COVID-19 vaccination effectiveness. Here, we aim to explore the interplay between pre-existing seasonal coronaviruses (sCoVs) antibodies and the humoral immunity induced by COVID-19 vaccination. Methods: We first collected serum samples from healthy donors prior to COVID-19 pandemic and individuals who had received COVID-19 vaccination post-pandemic in China, and the levels of IgG antibodies against sCoVs and SARS-CoV-2 were detected by ELISA. Wilcoxon rank sum test and chi-square test were used to compare the difference in magnitude and seropositivity rate between two groups. Then, we recruited a longitudinal cohort to collect serum samples before and after COVID-19 vaccination. The levels of IgG antibodies against SARS-CoV-2 S, S1, S2 and N antigen were monitored. Association between pre-existing sCoVs antibody and COVID-19 vaccination-induced antibodies were analyzed by Spearman rank correlation. Results: 96.0% samples (339/353) showed the presence of IgG antibodies against at least one subtype of sCoVs. 229E and OC43 exhibited the highest seroprevalence rates at 78.5% and 72.0%, respectively, followed by NL63 (60.9%) and HKU1 (52.4%). The levels of IgG antibodies against two β coronaviruses (OC43 and HKU1) were significantly higher in these donors who had inoculated with COVID-19 vaccines compared to pre-pandemic healthy donors. However, we found that COVID-19 vaccine-induced antibody levels were not significant different between two groups with high levelor low level of pre-existing sCoVs antibody among the longitudinal cohort. Conclusion: We found a high prevalence of antibodies against sCoVs in Chinese population. The immune imprinting by sCoVs could be reactivated by COVID-19 vaccination, but it did not appear to be a major factor affecting the immunogenicity of COVID-19 vaccine. These findings will provide insights into understanding the impact of immune imprinting on subsequent multiple shots of COVID-19 vaccines.

Indexed as

COVID-19COVID-19 VaccinesHumansImmunoglobulin GPandemicsSARS-CoV-2SeasonsSeroepidemiologic StudiesCOVID-19 VaccinesImmunoglobulin GCOVID-19 vaccinationimmune imprintingpre-existing immunitySARS-CoV-2seasonal coronavirus

Identifiers

PMID37654488
PMCPMC10467281
OpenAlexW4385954644

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.