Characterizing the cellular and molecular variabilities of peripheral immune cells in healthy recipients of BBIBP-CorV inactivated SARS-CoV-2 vaccine by single-cell RNA sequencing
Open accessAbstract
Over 3 billion doses of inactivated vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been administered globally. However, our understanding of the immune cell functional transcription and T cell receptor (TCR)/B cell receptor (BCR) repertoire dynamics following inactivated SARS-CoV-2 vaccination remains poorly understood. Here, we performed single-cell RNA and TCR/BCR sequencing on peripheral blood mononuclear cells at four time points after immunization with the inactivated SARS-CoV-2 vaccine BBIBP-CorV. Our analysis revealed an enrichment of monocytes, central memory CD4+ T cells, type 2 helper T cells and memory B cells following vaccination. Single-cell TCR-seq and RNA-seq comminating analysis identified a clonal expansion of CD4+ T cells (but not CD8+ T cells) following a booster vaccination that corresponded to a decrease in the TCR diversity of central memory CD4+ T cells and type 2 helper T cells. Importantly, these TCR repertoire changes and CD4+ T cell differentiation were correlated with the biased VJ gene usage of BCR and the antibody-producing function of B cells post-vaccination. Finally, we compared the functional transcription and repertoire dynamics in immune cells elicited by vaccination and SARS-CoV-2 infection to explore the immune responses under different stimuli. Our data provide novel molecular and cellular evidence for the CD4+ T cell-dependent antibody response induced by inactivated vaccine BBIBP-CorV. This information is urgently needed to develop new prevention and control strategies for SARS-CoV-2 infection. (ClinicalTrials.gov Identifier: NCT04871932).Trial registration: ClinicalTrials.gov identifier: NCT04871932..
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Crosstalk of specific T cells and B cells following COVID-19 vaccine treatment has been found.
“In addition, it has been found that the crosstalk of specific T cells and B cells following COVID-19 vaccine treatment [220, 221].”
From Single-cell sequencing to multi-omics: technologies and applications (2024) · cites this paper as [221]
The Discussion (page unavailable) reports CD4+ T-cell expansion after BBIBP-CorV vaccination and suggests a Th2–B-cell immune response. It also hypothesizes that CD4+ T cells help memory B cells produce antibodies after a booster. This supports a possible T–B-cell interaction, but the paper does not report crosstalk as an established finding. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSingle-cell technologies shed light on host-pathogen dynamics, immune responses, and advanced therapeutic strategies, especially in COVID-19.
“In the realm of infectious diseases, the technologies shed light on host-pathogen dynamics, immune responses, and advanced therapeutic strategies, especially in COVID-19 [145, 146, 219–223].”
From Single-cell sequencing to multi-omics: technologies and applications (2024) · cites this paper as [221]
The Introduction (page unavailable) describes single-cell methods as tools for studying immune responses during COVID-19, and the Discussion (page unavailable) reports vaccine-elicited T-cell responses. This supports the immune-response part of the claim, but the paper studies healthy vaccine recipients rather than host–pathogen dynamics and does not establish that these methods illuminate advanced therapeutic strategies. (LLM, conf=0.84)
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Self-citation
- Authors
- Tong, R., Luo, L., Zhao, Y., Sun, M., Li, R., Zhong, J., Chen, Y., Hu, L., Li, Z., Shi, J., Lyu, Y., Hu, L., Guo, X., Liu, Q., Shuang, T., Zhang, C., Yuan, A., Sun, L., Zhang, Z., Qian, K., Chen, L., Lin, W., Chen, A. F., Wang, F., & Pu, J.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Shanghai Jiao Tong University
- Southern University of Science and Technology (CN)
- Corresponding author
- Wang, Feng
- Pu, Jun
- ORCID
- Venue
- Emerging Microbes & Infections
- Publisher
- Informa UK Limited
- Published
- 2023-05-09
- Volume
- 12
- Issue
- 1
- Pages
- e2187245-e2187245
- ISSN
- 2222-1751 (ISSN-L)
- PMC
- PMC10171127
- OpenAlex
- W4361198919
- Cited by
- 21
- References
- 73
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 5 · 2023: 2 · 2022: 2
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Emerging Microbes & Infections (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key R&D program of China (2021YFC2502300, 2022YFE0103500)
- National Natural Science Foundation of China (81500221,82071852 and 82003013)
- Innovative Research Team of high-level local universities in Shanghai (SHSMU-ZDCX20212100, SHSMU-ZDCX20210601)
- Shanghai Clinical Research Center for Aging and Medicine (19MC1910500)
- Science and Technology Commission of Shanghai Municipality (22QA1405400, 22DZ2292400)
- Shanghai Municipal Health Commission (2022JC013)
- Shanghai Cancer Institute (ZZ-20-22SYL)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- BBIBP-CorV, inactivated SARS-CoV-2 vaccine, COVID-19 vaccination, T cell receptor repertoire, B cell receptor repertoire, central memory CD4+ T cells, Th2 cells, memory B cells, booster vaccination, peripheral blood mononuclear cells, T cell differentiation
- MeSH terms
- COVID-19, SARS-CoV-2, COVID-19 Vaccines, Antibodies, Viral, Humans, Immunization, Secondary, Leukocytes, Mononuclear, Receptors, Antigen, B-Cell, Vaccines, Inactivated, Sequence Analysis, RNA
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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