1
|
Jin YY, Liang YP, Pan JQ, Huang WH, Feng YM, Sui WJ, Yu H, Tang XD, Zhu L, Chen JH. RNA editing in response to COVID-19 vaccines: unveiling dynamic epigenetic regulation of host immunity. Front Immunol 2024; 15:1413704. [PMID: 39308856 PMCID: PMC11413487 DOI: 10.3389/fimmu.2024.1413704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 08/14/2024] [Indexed: 09/25/2024] Open
Abstract
Background COVID-19 vaccines are crucial for reducing the threat and burden of the pandemic on global public health, yet the epigenetic, especially RNA editing in response to the vaccines remains unelucidated. Results Our current study performed an epitranscriptomic analysis of RNA-Seq data of 260 blood samples from 102 healthy and SARS-CoV-2 naïve individuals receiving different doses of the COVID-19 vaccine and revealed dynamic, transcriptome-wide adenosine to inosine (A-to-I) RNA editing changes in response to COVID-19 vaccines (RNA editing in response to COVID-19 vaccines). 5592 differential RNA editing (DRE) sites in 1820 genes were identified, with most of them showing up-regulated RNA editing and correlated with increased expression of edited genes. These deferentially edited genes were primarily involved in immune- and virus-related gene functions and pathways. Differential ADAR expression probably contributed to RNA editing in response to COVID-19 vaccines. One of the most significant DRE in RNA editing in response to COVID-19 vaccines was in apolipoprotein L6 (APOL6) 3' UTR, which positively correlated with its up-regulated expression. In addition, recoded key antiviral and immune-related proteins such as IFI30 and GBP1 recoded by missense editing was observed as an essential component of RNA editing in response to COVID-19 vaccines. Furthermore, both RNA editing in response to COVID-19 vaccines and its functions dynamically depended on the number of vaccine doses. Conclusion Our results thus underscored the potential impact of blood RNA editing in response to COVID-19 vaccines on the host's molecular immune system.
Collapse
Affiliation(s)
- Yun-Yun Jin
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Ya-Ping Liang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Jia-Qi Pan
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Wen-Hao Huang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Yan-Meng Feng
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Wei-Jia Sui
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Han Yu
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Xiao-Dan Tang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Lin Zhu
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- Joint Primate Research Center for Chronic Diseases, Institute of Zoology of Guangdong Academy of Science, Jiangnan University, Wuxi, China
- Jiangnan University Brain Institute, Jiangnan University, Wuxi, Jiangsu, China
| |
Collapse
|
2
|
Papadatou I, Geropeppa M, Piperi C, Spoulou V, Adamopoulos C, Papavassiliou AG. Deciphering Immune Responses to Immunization via Transcriptional Analysis: A Narrative Review of the Current Evidence towards Personalized Vaccination Strategies. Int J Mol Sci 2024; 25:7095. [PMID: 39000206 PMCID: PMC11240890 DOI: 10.3390/ijms25137095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 06/25/2024] [Accepted: 06/27/2024] [Indexed: 07/16/2024] Open
Abstract
The development of vaccines has drastically reduced the mortality and morbidity of several diseases. Despite the great success of vaccines, the immunological processes involved in protective immunity are not fully understood and several issues remain to be elucidated. Recently, the advent of high-throughput technologies has enabled a more in-depth investigation of the immune system as a whole and the characterization of the interactions of numerous components of immunity. In the field of vaccinology, these tools allow for the exploration of the molecular mechanisms by which vaccines can induce protective immune responses. In this review, we aim to describe current data on transcriptional responses to vaccination, focusing on similarities and differences of vaccine-induced transcriptional responses among vaccines mostly in healthy adults, but also in high-risk populations, such as the elderly and children. Moreover, the identification of potential predictive biomarkers of vaccine immunogenicity, the effect of age on transcriptional response and future perspectives for the utilization of transcriptomics in the field of vaccinology will be discussed.
Collapse
Affiliation(s)
- Ioanna Papadatou
- Immunobiology and Vaccinology Research Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.P.); (M.G.); (V.S.)
- First Department of Pediatrics, “Aghia Sophia” Children’s Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Maria Geropeppa
- Immunobiology and Vaccinology Research Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.P.); (M.G.); (V.S.)
| | - Christina Piperi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (C.P.); (A.G.P.)
| | - Vana Spoulou
- Immunobiology and Vaccinology Research Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.P.); (M.G.); (V.S.)
- First Department of Pediatrics, “Aghia Sophia” Children’s Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Christos Adamopoulos
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (C.P.); (A.G.P.)
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Athanasios G. Papavassiliou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (C.P.); (A.G.P.)
| |
Collapse
|
3
|
Santos-Rebouças CB, Ferreira CDS, Nogueira JDS, Brustolini OJ, de Almeida LGP, Gerber AL, Guimarães APDC, Piergiorge RM, Struchiner CJ, Porto LC, de Vasconcelos ATR. Immune response stability to the SARS-CoV-2 mRNA vaccine booster is influenced by differential splicing of HLA genes. Sci Rep 2024; 14:8982. [PMID: 38637586 PMCID: PMC11026523 DOI: 10.1038/s41598-024-59259-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 04/08/2024] [Indexed: 04/20/2024] Open
Abstract
Many molecular mechanisms that lead to the host antibody response to COVID-19 vaccines remain largely unknown. In this study, we used serum antibody detection combined with whole blood RNA-based transcriptome analysis to investigate variability in vaccine response in healthy recipients of a booster (third) dose schedule of the mRNA BNT162b2 vaccine against COVID-19. The cohort was divided into two groups: (1) low-stable individuals, with antibody concentration anti-SARS-CoV IgG S1 below 0.4 percentile at 180 days after boosting vaccination; and (2) high-stable individuals, with antibody values greater than 0.6 percentile of the range in the same period (median 9525 [185-80,000] AU/mL). Differential gene expression, expressed single nucleotide variants and insertions/deletions, differential splicing events, and allelic imbalance were explored to broaden our understanding of the immune response sustenance. Our analysis revealed a differential expression of genes with immunological functions in individuals with low antibody titers, compared to those with higher antibody titers, underscoring the fundamental importance of the innate immune response for boosting immunity. Our findings also provide new insights into the determinants of the immune response variability to the SARS-CoV-2 mRNA vaccine booster, highlighting the significance of differential splicing regulatory mechanisms, mainly concerning HLA alleles, in delineating vaccine immunogenicity.
Collapse
Affiliation(s)
- Cíntia Barros Santos-Rebouças
- Department of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Cristina Dos Santos Ferreira
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil
| | - Jeane de Souza Nogueira
- Histocompatibility and Cryopreservation Laboratory, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Otávio José Brustolini
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil
| | - Luiz Gonzaga Paula de Almeida
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil
| | - Alexandra Lehmkuhl Gerber
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil
| | - Ana Paula de Campos Guimarães
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil
| | - Rafael Mina Piergiorge
- Department of Genetics, Institute of Biology Roberto Alcantara Gomes, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Cláudio José Struchiner
- School of Applied Mathematics, Getúlio Vargas Foundation, Rio de Janeiro, Brazil
- Social Medicine Institute Hesio Cordeiro, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Luís Cristóvão Porto
- Histocompatibility and Cryopreservation Laboratory, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Ana Tereza Ribeiro de Vasconcelos
- Bioinformatics Laboratory-LABINFO, National Laboratory of Scientific Computation LNCC/MCTIC, Getúlio Vargas, Av., 333, Quitandinha, Petrópolis, Rio de Janeiro, 25651‑075, Brazil.
| |
Collapse
|
4
|
Zhang Z. The Initial COVID-19 Reliable Interactive DNA Methylation Markers and Biological Implications. BIOLOGY 2024; 13:245. [PMID: 38666857 PMCID: PMC11048280 DOI: 10.3390/biology13040245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/22/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024]
Abstract
Earlier research has established the existence of reliable interactive genomic biomarkers. However, reliable DNA methylation biomarkers, not to mention interactivity, have yet to be identified at the epigenetic level. This study, drawing from 865,859 methylation sites, discovered two miniature sets of Infinium MethylationEPIC sites, each having eight CpG sites (genes) to interact with each other and disease subtypes. They led to the nearly perfect (96.87-100% accuracy) prediction of COVID-19 patients from patients with other diseases or healthy controls. These CpG sites can jointly explain some post-COVID-19-related conditions. These CpG sites and the optimally performing genomic biomarkers reported in the literature become potential druggable targets. Among these CpG sites, cg16785077 (gene MX1), cg25932713 (gene PARP9), and cg22930808 (gene PARP9) at DNA methylation levels indicate that the initial SARS-CoV-2 virus may be better treated as a transcribed viral DNA into RNA virus, i.e., not as an RNA virus that has concerned scientists in the field. Such a discovery can significantly change the scientific thinking and knowledge of viruses.
Collapse
Affiliation(s)
- Zhengjun Zhang
- School of Computer, Data and Information Sciences, University of Wisconsin, Madison, WI 53706, USA
| |
Collapse
|
5
|
Wei J, Guo F, Song Y, Xu K, Lin F, Li K, Li B, Qian Z, Wang X, Wang H, Xu T. Transcriptional analysis of human peripheral blood mononuclear cells stimulated by Mycobacterium tuberculosis antigen. Front Cell Infect Microbiol 2023; 13:1255905. [PMID: 37818041 PMCID: PMC10561294 DOI: 10.3389/fcimb.2023.1255905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 09/04/2023] [Indexed: 10/12/2023] Open
Abstract
Background Mycobacterium tuberculosis antigen (Mtb-Ag) is a polypeptide component with a molecular weight of 10-14 kDa that is obtained from the supernatant of the H37Ra strain after heat treatment. It stimulates the activation and proliferation of γδT cells in the blood to produce an immune response against tuberculosis. Mtb-Ag is therefore crucial for classifying and detecting the central genes and key pathways involved in TB initiation and progression. Methods In this study, we performed high-throughput RNA sequencing of peripheral blood mononuclear cells (PBMC) from Mtb-Ag-stimulated and control samples to identify differentially expressed genes and used them for gene ontology (GO) and a Kyoto Encyclopedia of Genomes (KEGG) enrichment analysis. Meanwhile, we used PPI protein interaction network and Cytoscape analysis to identify key genes and qRT-PCR to verify differential gene expression. Single-gene enrichment analysis (GSEA) was used further to elucidate the potential biological functions of key genes. Analysis of immune cell infiltration and correlation of key genes with immune cells after Mtb-Ag-stimulated using R language. Results We identified 597 differentially expressed genes in Mtb-Ag stimulated PBMCs. KEGG and GSEA enrichment analyzed the cellular pathways related to immune function, and DEGs were found to be primarily involved in the TNF signaling pathway, the IL-17 signaling pathway, the JAK-STAT signaling pathway, cytokine-cytokine receptor interactions, and the NF-κB signaling pathway. Wayne analysis using GSEA, KEGG, and the protein-protein interaction (PPI) network showed that 34 genes, including PTGS2, IL-1β, IL-6, TNF and IFN-γ et al., were co-expressed in the five pathways and all were up-regulated by Mtb-Ag stimulation. Twenty-four DEGs were identified using qRT-PCR, including fourteen up-regulated genes (SERPINB7, IL20, IFNG, CSF2, PTGS2, TNF-α, IL36G, IL6, IL10, IL1A, CXCL1, CXCL8, IL4, and CXCL3) and ten down-regulated genes (RTN1, CSF1R CD14, C5AR1, CXCL16, PLXNB2, OLIG1, EEPD1, ENG, and CCR1). These findings were consistent with the RNA-Seq results. Conclusion The transcriptomic features associated with Mtb-Ag provide the scientific basis for exploring the intracellular immune mechanisms against Mtb. However, more studies on these DEGs in pathways associated with Mtb-Ag stimulation are needed to elucidate the underlying pathologic mechanisms of Mtb-Ag during Mtb infection.
Collapse
Affiliation(s)
- Jing Wei
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Fangzheng Guo
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Yamin Song
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Kun Xu
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Feiyang Lin
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Kangsheng Li
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
| | - Baiqing Li
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
- Department of Immunology, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
| | - Zhongqing Qian
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
- Department of Immunology, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
| | - Xiaojing Wang
- Anhui Province Key Laboratory of Clinical and Preclinical Research in Respiratory Disease, Bengbu Medical College, Bengbu, China
| | - Hongtao Wang
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
- Department of Immunology, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
| | - Tao Xu
- Laboratory Medicine Experimental Center, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
- Anhui Province Key Laboratory of Immunology in Chronic Diseases, Bengbu Medical College, Bengbu, China
- Department of Clinical Laboratory and Diagnostics, Laboratory Medicine College, Bengbu Medical College, Bengbu, China
| |
Collapse
|
6
|
Quach HQ, Goergen KM, Grill DE, Haralambieva IH, Ovsyannikova IG, Poland GA, Kennedy RB. Virus-specific and shared gene expression signatures in immune cells after vaccination in response to influenza and vaccinia stimulation. Front Immunol 2023; 14:1168784. [PMID: 37600811 PMCID: PMC10436507 DOI: 10.3389/fimmu.2023.1168784] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 07/18/2023] [Indexed: 08/22/2023] Open
Abstract
Background In the vaccine era, individuals receive multiple vaccines in their lifetime. Host gene expression in response to antigenic stimulation is usually virus-specific; however, identifying shared pathways of host response across a wide spectrum of vaccine pathogens can shed light on the molecular mechanisms/components which can be targeted for the development of broad/universal therapeutics and vaccines. Method We isolated PBMCs, monocytes, B cells, and CD8+ T cells from the peripheral blood of healthy donors, who received both seasonal influenza vaccine (within <1 year) and smallpox vaccine (within 1 - 4 years). Each of the purified cell populations was stimulated with either influenza virus or vaccinia virus. Differentially expressed genes (DEGs) relative to unstimulated controls were identified for each in vitro viral infection, as well as for both viral infections (shared DEGs). Pathway enrichment analysis was performed to associate identified DEGs with KEGG/biological pathways. Results We identified 2,906, 3,888, 681, and 446 DEGs in PBMCs, monocytes, B cells, and CD8+ T cells, respectively, in response to influenza stimulation. Meanwhile, 97, 120, 20, and 10 DEGs were identified as gene signatures in PBMCs, monocytes, B cells, and CD8+ T cells, respectively, upon vaccinia stimulation. The majority of DEGs identified in PBMCs were also found in monocytes after either viral stimulation. Of the virus-specific DEGs, 55, 63, and 9 DEGs occurred in common in PBMCs, monocytes, and B cells, respectively, while no DEGs were shared in infected CD8+ T cells after influenza and vaccinia. Gene set enrichment analysis demonstrated that these shared DEGs were over-represented in innate signaling pathways, including cytokine-cytokine receptor interaction, viral protein interaction with cytokine and cytokine receptor, Toll-like receptor signaling, RIG-I-like receptor signaling pathways, cytosolic DNA-sensing pathways, and natural killer cell mediated cytotoxicity. Conclusion Our results provide insights into virus-host interactions in different immune cells, as well as host defense mechanisms against viral stimulation. Our data also highlights the role of monocytes as a major cell population driving gene expression in ex vivo PBMCs in response to viral stimulation. The immune response signaling pathways identified in this study may provide specific targets for the development of novel virus-specific therapeutics and improved vaccines for vaccinia and influenza. Although influenza and vaccinia viruses have been selected in this study as pathogen models, this approach could be applicable to other pathogens.
Collapse
Affiliation(s)
- Huy Quang Quach
- Mayo Clinic Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Krista M. Goergen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Diane E. Grill
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States
| | - Iana H. Haralambieva
- Mayo Clinic Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Inna G. Ovsyannikova
- Mayo Clinic Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Gregory A. Poland
- Mayo Clinic Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| | - Richard B. Kennedy
- Mayo Clinic Vaccine Research Group, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, United States
| |
Collapse
|
7
|
Watanabe Y, Yamamoto H, Matsuba I, Watanabe K, Kunishima T, Takechi Y, Takuma T, Araki Y, Hirotsu N, Sakai H, Oikawa R, Danno H, Fukuda M, Sugino R, Futagami S, Wada K, Itoh F, Tateishi K, Oda I, Hatori Y, Degawa H. Time-series transcriptome analysis of peripheral blood mononuclear cells obtained from individuals who received the SARS-CoV-2 mRNA vaccine. J Med Virol 2023; 95:e28884. [PMID: 37342886 DOI: 10.1002/jmv.28884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/05/2023] [Accepted: 06/06/2023] [Indexed: 06/23/2023]
Abstract
Messenger ribonucleic acid (mRNA) vaccination against coronavirus disease 2019 (COVID-19) is an effective prevention strategy, despite a limited understanding of the molecular mechanisms underlying the host immune system and individual heterogeneity of the variable effects of mRNA vaccination. We assessed the time-series changes in the comprehensive gene expression profiles of 200 vaccinated healthcare workers by performing bulk transcriptome and bioinformatics analyses, including dimensionality reduction utilizing the uniform manifold approximation and projection (UMAP) technique. For these analyses, blood samples, including peripheral blood mononuclear cells (PBMCs), were collected from 214 vaccine recipients before vaccination (T1) and on Days 22 (T2, after second dose), 90, 180 (T3, before a booster dose), and 360 (T4, after a booster dose) after receiving the first dose of BNT162b2 vaccine (UMIN000043851). UMAP successfully visualized the main cluster of gene expression at each time point in PBMC samples (T1-T4). Through differentially expressed gene (DEG) analysis, we identified genes that showed fluctuating expression levels and gradual increases in expression levels from T1 to T4, as well as genes with increased expression levels at T4 alone. We also succeeded in dividing these cases into five types based on the changes in gene expression levels. High-throughput and temporal bulk RNA-based transcriptome analysis is a useful approach for inclusive, diverse, and cost-effective large-scale clinical studies.
Collapse
Affiliation(s)
- Yoshiyuki Watanabe
- Kawasaki Physicians Association, Kawasaki, Japan
- Department of Internal Medicine, Kawasaki Rinko General Hospital, Kawasaki, Japan
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
- Department of Internal Medicine, Division of Gastroenterology, Nippon Medical School, Tokyo, Japan
- Department of Otorhinolaryngology, Toho University Omori Medical Center, Tokyo, Japan
| | - Hiroyuki Yamamoto
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
- Department of Bioinformatics, St. Marianna University Graduate School of Medicine, Kanagawa, Japan
| | | | - Karin Watanabe
- Department of Internal Medicine, Kawasaki Rinko General Hospital, Kawasaki, Japan
| | | | | | | | | | | | | | - Ritsuko Oikawa
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
| | | | | | | | - Seiji Futagami
- Department of Internal Medicine, Division of Gastroenterology, Nippon Medical School, Tokyo, Japan
| | - Kota Wada
- Department of Otorhinolaryngology, Toho University Omori Medical Center, Tokyo, Japan
| | - Fumio Itoh
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Keisuke Tateishi
- Department of Gastroenterology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Ichiro Oda
- Department of Internal Medicine, Kawasaki Rinko General Hospital, Kawasaki, Japan
| | | | | |
Collapse
|
8
|
Zhang J, Zhang S, Sun X, Xu X. Comparative transcriptome analysis reveals the immune response of turbot (Scophthalmus maximus) induced by inactivated bivalent vaccine. FISH & SHELLFISH IMMUNOLOGY 2023; 132:108461. [PMID: 36462744 DOI: 10.1016/j.fsi.2022.108461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/21/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Vibrio species are important pathogens that affect a wide range of farmed fish. Vaccination is regarded as the most efficacious strategy for fighting bacterial infections. However, the underlying mechanisms remain to be elucidated. In the present study, a comparative transcriptome analysis was performed on the spleens from turbot (Scophthalmus maximus) induced by an inactivated bivalent vaccine (Vibrio anguillarum and Vibrio harveyi, IVVah1) at 4 week and 1 day post further challenge. Strong immune responses were induced by the bivalent vaccine, besides differentially expressed genes (DEGs) associated with adaptive immunity, more innate immunity-related DEGs were detected. At the late stage of vaccination, immune-related molecules associated with pattern recognition receptors, inflammatory factors, complement and coagulation cascade-related components, and antigen processing and presentation were significantly regulated, and some of them were even further up-regulated after the bacterial challenge, indicating the cooperation of multiple immune processes during the vaccine immunization process. In addition to the terms or pathways associated with the immune response, enrichment analysis revealed multiple significantly enriched terms/pathways associated with the response to stimulus/stress, homeostasis, metabolism, and biosynthesis, suggesting that a defensive status was established by the bivalent vaccine. This study furnishes new insights into the internal mechanism of immunity upon a combined vaccine administrating in turbot and lays a foundation for developing highly immunogenic vaccines in teleost.
Collapse
Affiliation(s)
- Jian Zhang
- School of Ocean, Yantai University, Yantai, China
| | | | - Xiangyi Sun
- School of Ocean, Yantai University, Yantai, China
| | - Xiudan Xu
- School of Ocean, Yantai University, Yantai, China.
| |
Collapse
|
9
|
Chen H, Zhang L, Xu C, Shen X, Lou J, Wu S. Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines. PeerJ 2023; 11:e15155. [PMID: 37096063 PMCID: PMC10122457 DOI: 10.7717/peerj.15155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/10/2023] [Indexed: 04/26/2023] Open
Abstract
Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vaccine serum and carried out transcriptome sequencing of RNAs isolated from the PBMCs of 29 medical staff receiving two doses of the CoronaVac vaccine. The results showed that SARS-CoV-2 neutralization antibody titers varied considerably among individuals, and revealed that many innate immune pathways were activated after vaccination. Furthermore, the blue module revealed that NRAS, YWHAB, SMARCA5, PPP1CC and CDC5L may be correlated with the protective effect of the inactivated vaccine. Additionally, MAPK1, CDC42, PPP2CA, EP300, YWHAZ and NRAS were demonstrated as the hub genes having a significant association with vaccines. These findings provide a basis for understanding the molecular mechanism of the host immune response induced by inactivated vaccines.
Collapse
Affiliation(s)
- Hongquan Chen
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Lu Zhang
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Chen Xu
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Xiaoyun Shen
- Key Laboratory of Endoscopic Technology Research, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Jiazhou Lou
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Shengjun Wu
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| |
Collapse
|
10
|
Lee HK, Knabl L, Walter M, Furth PA, Hennighausen L. Limited cross-variant immune response from SARS-CoV-2 Omicron BA.2 in naïve but not previously infected outpatients. iScience 2022; 25:105369. [PMID: 36267551 PMCID: PMC9561373 DOI: 10.1016/j.isci.2022.105369] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/12/2022] [Accepted: 10/11/2022] [Indexed: 11/29/2022] Open
Abstract
Omicron is currently the dominant SARS-CoV-2 variant and several sublineages have emerged. Questions remain about the impact of previous SARS-CoV-2 exposure on cross-variant immune responses elicited by the SARS-CoV-2 Omicron sublineage BA.2 compared to BA.1. Here we show that without previous history of COVID-19, BA.2 infection induces a reduced immune response against all variants of concern (VOC) compared to BA.1 infection. The absence of ACE2 binding in sera of previously naïve BA.1 and BA.2 patients indicates a lack of meaningful neutralization. In contrast, anti-spike antibody levels and neutralizing activity greatly increased in the BA.1 and BA.2 patients with a previous history of COVID-19. Transcriptome analyses of peripheral immune cells showed significant differences in immune response and specific antibody generation between BA.1 and BA.2 patients as well as significant differences in expression of specific immune genes. In summary, prior infection status significantly impacts the innate and adaptive immune response against VOC following BA.2 infection.
Collapse
Affiliation(s)
- Hye Kyung Lee
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Mary Walter
- Clinical Core, National Institute of Diabetes, Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - Priscilla A Furth
- Departments of Oncology & Medicine, Georgetown University, Washington, DC, USA
| | - Lothar Hennighausen
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| |
Collapse
|
11
|
Lee HK, Knabl L, Walter M, Knabl L, Dai Y, Füßl M, Caf Y, Jeller C, Knabl P, Obermoser M, Baurecht C, Kaiser N, Zabernigg A, Wurdinger GM, Furth PA, Hennighausen L. Prior Vaccination Exceeds Prior Infection in Eliciting Innate and Humoral Immune Responses in Omicron Infected Outpatients. Front Immunol 2022; 13:916686. [PMID: 35784346 PMCID: PMC9240221 DOI: 10.3389/fimmu.2022.916686] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/18/2022] [Indexed: 12/27/2022] Open
Abstract
Antibody response following Omicron infection is reported to be less robust than that to other variants. Here we investigated how prior vaccination and/or prior infection modulates that response. Disease severity, antibody responses and immune transcriptomes were characterized in four groups of Omicron-infected outpatients (n=83): unvaccinated/no prior infection, vaccinated/no prior infection, unvaccinated/prior infection and vaccinated/prior infection. The percentage of patients with asymptomatic or mild disease was highest in the vaccinated/no prior infection group (87%) and lowest in the unvaccinated/no prior infection group (47%). Significant anti-Omicron spike antibody levels and neutralizing activity were detected in the vaccinated group immediately after infection but were not present in the unvaccinated/no prior infection group. Within two weeks, antibody levels against Omicron, increased. Omicron neutralizing activity in the vaccinated group exceeded that of the prior infection group. No increase in neutralizing activity in the unvaccinated/no prior infection group was seen. The unvaccinated/prior infection group showed an intermediate response. We then investigated the early transcriptomic response following Omicron infection in these outpatient populations and compared it to that found in unvaccinated hospitalized patients with Alpha infection. Omicron infected patients showed a gradient of transcriptional response dependent upon whether or not they were previously vaccinated or infected. Vaccinated patients showed a significantly blunted interferon response as compared to both unvaccinated Omicron infected outpatients and unvaccinated Alpha infected hospitalized patients typified by the response of specific gene classes such as OAS and IFIT that control anti-viral responses and IFI27, a predictor of disease outcome.
Collapse
Affiliation(s)
- Hye Kyung Lee
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | | | - Mary Walter
- Clinical Core, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Ludwig Knabl
- Division of Internal Medicine, Krankenhaus St. Vinzenz, Zams, Austria
| | - Yuhai Dai
- Clinical Core, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| | | | - Yasemin Caf
- TyrolPath Obrist Brunhuber GmbH, Zams, Austria
| | | | | | - Martina Obermoser
- Division of Internal Medicine, Krankenhaus St. Johann, St. Johann, Austria
| | - Christof Baurecht
- Division of Internal Medicine, Krankenhaus St. Johann, St. Johann, Austria
| | - Norbert Kaiser
- Division of Internal Medicine, Krankenhaus St. Johann, St. Johann, Austria
| | - August Zabernigg
- Division of Internal Medicine, Krankenhaus Kufstein, Kufstein, Austria
| | | | - Priscilla A. Furth
- Departments of Oncology and Medicine, Georgetown University, Washington, DC, United States
| | - Lothar Hennighausen
- National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States
| |
Collapse
|