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ORIGINAL RESEARCH article

Front. Immunol., 26 October 2022
Sec. Vaccines and Molecular Therapeutics
This article is part of the Research Topic Advancing the Understanding of Emergence of SARS-CoV-2 Genetic Variants and COVID-19 Vaccine Efficacy: Essential Clinical and Molecular Insights and Breakthroughs View all 39 articles

Association between the side effect induced by COVID-19 vaccines and the immune regulatory gene polymorphism

  • 1Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
  • 2Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
  • 3Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
  • 4School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
  • 5School of Medicine, Chang Gung University, Taoyuan, Taiwan
  • 6Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan

People often worry about the side effects after vaccination, reducing the willingness to vaccinate. Thus, we tried to find out the risk of single nucleotide polymorphism (SNP) vaccines to improve the willingness and confidence in vaccination. Allergic and inflammatory reactions are the common vaccine side effects caused by immune system overreaction. In addition, a previous study showed significantly higher frequency of febrile reactions to measles vaccines in American Indians than in Caucasian children, indicating that the side effects varied in accordance with genetic polymorphisms in individuals. Thus, SNPs of immune regulatory genes, cytotoxic T-lymphocyte-associated protein 4 (CTLA4), CD28, tumor necrosis factor ligand superfamily member 4 (TNFSF4) and programmed cell death protein 1 (PDCD1) were included in this study to analyze their association with vaccine side effects. Moreover, 61 healthy participants were asked on the number of doses they received, the brand of the vaccine, and the side effects they suffered. We found that several SNPs were associated with side effects after the first or second dose of mRNA or adenoviral vector vaccines. Furthermore, these SNPs were associated with several autoimmune diseases and cancer types; thus, they played an important role in immune regulation. Moreover, rs3181096 and rs3181098 of CD28, rs733618 and rs3087243 of CTLA, and rs1234314 of TNFSF4 were associated with mild vaccine side effects induced by mRNA and adenoviral vector vaccines, which would play a potential role in vaccine-induced immune responses and may further lead to fatal side effects. These results could serve as a basis for investigating the mechanism of vaccine side effects. Furthermore, it was hoped that these results would address public concerns about the side effects of the COVID-19 vaccination. In clinical application, a rapid screening test can be performed to assess the risk of vaccine side effects before vaccination and provide immediate treatment.

Introduction

Recently, COVID-19 has caused a pandemic of severe acute respiratory syndrome (SARS-CoV-2). At present, the policies of various countries are inclined to coexist with the virus; thus, the vaccination rate must be improved. Although vaccination is a safe way of protecting people against infection and severe complications, people still worry about the side effects of vaccination. In addition, several studies have shown that the host genotype has a great effect on the immune response induced by vaccines, such as influenza, hepatitis B, and measles vaccination (13). Therefore, identifying single nucleotide polymorphisms (SNPs) that increase the risk of side effects of COVID-19 vaccines could improve people’s willingness and confidence in vaccination through genetic testing.

Vaccines are designed to stimulate antigen-specific T cell responses and enhance adaptive immunity. However, excessive T cell response may cause vaccine-induced side effects. Although the process of vaccine production and development have undergone rigorous testing, varying severities of side effects will be reported after large-scale vaccination. The most common side effects of COVID-19 vaccines are mild, such as soreness, swelling or redness at the injection site, fever, rash, and pain. Although the serious side effects are rare, they may cause seizures, thrombosis, myocarditis, or life-threatening allergic reactions (4). Fever is the most common vaccine side effect, which can occur after any vaccine is given. Fever is defined as a core body temperature above 38°C. In addition, the common mechanism of fever is induced by tumor necrosis factor (TNF), which increases the secretion of interleukin (IL)-1 and IL-6, and acts on the hypothalamus to increase body temperature. This mechanism will increase the activity and mobility of leukocytes, stimulate the production of interferon, and activate T cells to enhance immune response (5). The immune checkpoints involved in T cell activation, PDCD1 and CTLA4 are associated with the mechanism of fever (6).Moreover, Tritto et al. (7) hypothesized that the injection-site reaction was due to the use of adjuvants. The adjuvant provides the second signal that is necessary for T cell activation and increases the release of cytokines and chemokines; hence, immune cells in the blood will gather at the injection site, leading to redness, swelling and pain (8). Furthermore, headache is a common side effect after inoculating viral vaccines. The frequency of headaches was 39% to 80% after mRNA vaccination (9, 10) and from 39% to 66% after adenoviral vector vaccination (11). Headache is due to calcitonin gene-related peptide, an inflammatory neuropeptide that stimulates the secretion of TNFα, IL-1β and IL-6 when combined with receptors on T cells, which induces the release of neurogenic inflammation and vasodilation in pial vessels (12, 13). Notably, the risk of side effects after giving the same vaccine varies between groups and individuals. This phenomenon was first observed by the team of Black et al. They observed a significantly higher frequency of febrile reactions to measles vaccines in American Indians than in Caucasian children (14), suggesting that genes play a role in the occurrence of side effects after vaccination. The immune response induced by the vaccine was also related to genetic factors based on a twin study (15), which shows that the immune response after vaccination can be predicted by an individual genotype.

In literature, no studies have investigated genotypes associated with the side effects of COVID-19 vaccines. However, SNPs susceptible to disease risk or disease severity may be involved in the immune response of vaccination, leading to vaccine-induced adverse reactions (16). Therefore, this study conducted a detailed analysis to investigate the association between genes and the second signal for T cell activation and understand the effect of genes on the side effects after vaccination, including cytotoxic T-lymphocyte-associated protein 4 (CTLA4), CD28, tumor necrosis factor ligand superfamily member 4 (TNFSF4), and programmed cell death protein 1 (PDCD1) and the side effects caused by COVID-19 vaccination.

Materials and methods

Subjects

In this study, 61 healthy adults who received two doses of COVID-19 vaccine were enrolled from Chang Gung Memorial Hospital (CGMH, Taoyuan, Taiwan). Amongst them, 24 received two doses of mRNA-1273 (Moderna), 24 received two doses of ChAdOx1-S (Oxford/AstraZeneca, AZ), 5 received two doses of BNT162b2 (Pfizer/BioNTech, BNT), 5 received MVC-COV1901 (Medigen), 2 received one dose of AZ followed by one dose of Moderna, and 1 received one dose of Moderna followed by one dose of BNT. Participants were asked on the number of doses they received, the brand of the vaccine and the side effects they experienced, including fever, pain, redness, or swelling at the injection site, shivering, nausea/anorexia, vomiting, diarrhoea, headache, fatigue, muscle pain, joint pain, and skin allergy. All data were self-reported. The study has been reviewed and approved by the Institutional Review Board of CGMH. The approved ID was 202101837B0. All the participants have signed the consent form.

DNA extraction

We collected oral mucosal cells of these participants to extract genomic DNA using the QIAamp DNA Mini Kit (Qiagen, Germany). Then, the purity and concentration of the extracted DNA were determined by measuring the absorbance at 260 and 280 nm. Then, the extracted DNA were stored for the following experiments.

PCR and SNP analysis

A total of four costimulatory genes (CTLA4, TNFSF4, CD28, and PDCD1) were investigated in this study. We focused on the promoter region of genes, because the SNP located in the promoter region may affect the expression level of gene (17). In addition, the hot points of autoimmune diseases and cancer types were considered, including rs231775 in exon1 of CTLA4 (18, 19), rs3087243 in 3 prime untranslated region (3’UTR) of CTLA4 (19) and rs11568821 in intron4 of PDCD1 (20). Thus, eight fragments were selected for SNP analysis. The pairs of primers are shown in Table 1. These eight amplified DNA fragments consisted of 44 candidate SNPs (Table 2). The PCR volume was 25μL, including each 1μL of forward and reverse primer, 8μL of Hot Start Taq DNA polymerase (Agilent, Santa Clara, California, USA), 1μL of sample DNA and 14μL of ddH2O. The PCR programme was initiated as follows: 4 min at 94°C, 30 cycles of 30 s at 94°C, 30 s at 58°C, 45 s at 72° C and final 10 min at 72°C. Subsequently, the 5μL of PCR products was fractionated on the 1.5%-2% agarose gel. According to the manufacturer’s instructions, the Big Dye Terminator Cycle Sequencing kit (Thermo Fisher, Waltham, Massachusetts, USA) and ABI PRISM genetic analyser (Thermo Fisher, Waltham, Massachusetts, USA) were used for direct sequencing. Given the insufficient genomic DNA and failure of PCR, complete SNP data were not available.

TABLE 1
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Table 1 The pairs of primer for amplification of candidate SNPs.

TABLE 2
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Table 2 The 44 candidate SNPs that were analyzed the association with vaccine-induced reaction.

Statistical analysis

The Chi-square test and Fisher’s exact test were used to analyze the association between the vaccine-induced adverse reaction and the genotype frequency of participants using SPSS17.0. All data were analyzed through the dominant (AA vs. Aa+aa), recessive (AA+Aa vs. aa), and additive (AA vs. Aa vs. aa) models. Significant SNPs are summarized in Tables 36.

TABLE 3
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Table 3 Side effects with the first dose of mRNA vaccines (Moderna +BNT).

TABLE 4
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Table 4 Side effects with the second dose of mRNA vaccine (Moderna +BNT).

TABLE 5
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Table 5 Side effects with the first dose of adenoviral vector vaccine (AZ).

TABLE 6
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Table 6 Side effects with the second dose of adenoviral vector vaccine (AZ).

Results

A total of 61 participants who received COVID-19 vaccination were recruited in this study. All participants are Taiwanese. The complete characteristic data of side effects after vaccination in these cases are listed in Tables S1 and S2. Most people who took the first dose of the vaccine experienced pain at the injection site (84%), fever (61%), fatigue (62%) and headache (56%) (Table S1). Compared with the first dose of vaccination, the frequency of fever, discomfort at the injection site, chill, headache and myalgia was more severe in mRNA vaccines. However, the opposite was true in the adenoviral vector vaccine. Diarrhoea occurred more frequently in the first dose than in the second dose of mRNA vaccines and adenoviral vector vaccines (Table S2). The SNP data were obtained to analyze the type of vaccines and the dose number of vaccination, which was divided into the first and second doses of mRNA vaccines (Moderna or BNT) and the first and second doses of adenoviral vector vaccine (AZ).

Association between SNPs and the side effects of the first dose of mRNA vaccination

Analyzing the side effects induced by the first dose of mRNA vaccines (Table 3), rs56029561 of PDCD1 found to be associated with fever (additive, p= 0.010; CAG/del +CAG vs. del, p=0.010). In addition, rs3181098 of CD28 was associated with discomfort at the injection site (additive, p=0.016). rs733618 of CTLA4 (additive, p=0.026; CT+CC vs. TT, p=0.014, OR=0.071, 95% CI. = 0.007–0.701), rs3181096 of CD28 (additive, p=0.025), rs2227982 (additive, p=0.039; GG+AG vs. AA, p=0.030, OR=9, 95% CI. = 1.355–59.783) and rs36084323 (CT+CC vs. TT, p=0.033, OR=11.143, 95% CI. = 1.108–112.012) of PDCD1 were associated with chills. Moreover, rs5839828 of PDCD1 was associated with diarrhoea based on the additive model (p=0.046). rs2227982 (additive, p=0.026; AG+AA vs. GG, p=0.041, OR=1.444, 95% CI. = 1.005–2.075) and rs36084323 (CT+TT vs. CC, p=0.041) of PDCD1 were associated with headache. Furthermore, rs1234314 of TNFSF4 (additive, p=0.003; CG+GG vs. CC, p=0.033; CG+CC vs. GG, p=0.005), as well as rs2227982 (additive, p=0.046; GG+AG vs. AA, p=0.02, OR=8.167, 95% CI. = 1.419–47.016) and rs36084323 (CT+CC vs. TT, p=0.046, OR=7, 95% CI. = 1.098–44.608) of PDCD1, was associated with myalgia. Two SNPs of CD28 were associated with skin allergy, namely, rs3181096 (CT+TT vs. CC, p=0.048) and rs200353921 (TT+AT vs. AA, p=0.05, OR=0.1, 95% CI. = 0.012–0.869).

Association between SNPs and the side effects of the second dose of mRNA vaccination

Analyzing the side effects induced by second dose of mRNA vaccines (Table 4), two SNPs of PDCD1 were found to be associated with fever, namely, rs2227982 (additive, p=0.030; AG+AA vs. GG, p=0.013, OR=0.348, 95% CI. = 0.199–0.609) and rs36084323 (additive, p=0.022; CT+TT vs. CC, p=0.019). In addition, rs11571315 (additive, p=0.039) and rs231775 (additive, p=0.016) were associated with discomfort at the injection site. rs3181096 of CD28 (CT+TT vs. CC, p=0.017, OR=0.148, 95% CI. = 0.029–0.759), rs5839828 of PDCD1 (additive, p=0.046) and rs11571316 of CTLA4 (AG+AA vs. GG, p=0.047, OR=4.8, 95% CI. = 0.979–23.544) were associated with chills. Moreover, rs3087243 of CTLA4 (Additive, p=0.014; AG+AA vs. GG, p=0.006, OR=0.429, 95% CI. = 0.234-0.785), rs3181097 of CD28 (additive, p=0.021; AG+AA vs. GG, p=0.008, OR=15.714, 95% CI. = 1634-151.125), and rs3181098 of CD28 (Additive, p=0.039; AG+AA vs. GG, p=0.019, OR=0.081, 95% CI. = 0.008–0.773) were associated with headache. rs231775 (additive, p=0.035) of CTLA4 and rs3181097 of CD28 (additive, p=0.021; AG+AA vs. GG, p=0.008, OR=0.064, 95% CI. = 0.007–0.612) were associated with myalgia.

Association between SNPs and the side effects of the first dose of adenoviral vector vaccination

Analyzing the side effects induced by the first dose of AZ vaccines (Table 5), rs1879877 located in the promoter region of CD28 was found to be associated with headache (additive, p=0.009; GG+GT vs. TT, p=0.009, OR=18.75, 95% CI. = 2.065–170.215). Three SNPs were associated with diarrhoea, namely, rs3181096 of CD28 (additive, p=0.004; AG+AA vs. GG, p=0.028), rs3181098 of CD28 (additive, p=0.004; AG+AA vs. GG, p=0.028), and rs1234314 of PDCD1 (additive, p=0.042). Only the rs733618 of CTLA4 was associated with skin allergy (additive, p=0.026).

Association between the SNPs and the side effects of the second dose of adenoviral vector vaccination

Analyzing the side effects induced by the second dose of AZ vaccines (Table 6), two SNPs of CTLA4 were found to be associated with chills, namely, rs733618 located in the promoter region (additive, p=0.027) and rs980967681 located in the 3’UTR (GG vs. AG, p=0.02). In addition, six SNPs were associated with diarrhoea, namely, rs1879877 (GG vs. GT vs. TT, p=0.026), rs3181096 (additive, p<0.001; CT+CC vs. TT, p=0.042; CT+CC vs. TT, p=0.042), and rs3181098 (additive, p<0.001; GG+AG vs. AA, p=0.042) of CD28, rs3087243 (additive, p=0.003) and rs11571316 (additive, p=0.003) of CTLA4, and rs45454293 of TNFSF4 (additive, p=0.003). Moreover, rs41386349 located in the promoter region of PDCD1 was associated with headache (additive, p=0.038). rs733618 of CTLA4 (additive, p<0.001; CT+TT vs. CC, p=0.011) and rs3181097 of CD28 (additive, p=0.016; GG+AA vs. AA, p=0.036) were associated with myalgia.

Based on the results, rs3181096 and rs3181098 of CD28, rs733618 and rs3087243 of CTLA4 and rs1234314 of TNFSF4 were associated with side effects induced by mRNA and adenoviral vector vaccines. Furthermore, the data of mRNA and adenovirus vector vaccines were combined for analysis (Supplementary Tables 3 and 4). Combining the data of mRNA, subunit, adenoviral vector vaccine, and mixed vaccination, we found that rs733618 and rs3087243 of CTLA4; rs1879877, rs200353921, rs3181096 and rs3181098 of CD28 and the rs10204525, rs2227982, rs2227981, rs6705653, rs41386349 and rs5839828 of PDCD1 were associated with side effects based on the first and second doses of vaccination.

Discussion

In general, SNPs can be located in coding (exon) or non-coding sequences (intron) of genes (21). If the SNPs are located in the exon region, then they may alter the amino acid sequence of the corresponding protein (missense SNP), introduce a premature stop codon (nonsense SNP) or have no effect on the protein sequence (synonymous SNP). The promoter region, 5 prime untranslated region (5′UTR), intron and 3′UTR belong to non-coding regions of genes. If the SNPs are located in the 5′UTR, then they may affect the binding activity of transcription factors, thereby leading to the upregulation or downregulation of gene expression level. If the SNPs are located in the 3′UTR, then they may influence microRNA binding to the sequence, thereby affecting gene silencing. In addition, the sequence of the promoter plays a role in initiating gene transcription, which affects the expression of protein. Several studies have determined that several SNPs were related to the antibody response of vaccination (13). In our study, we also found that several SNPs were associated with the side effects of COVID-19 vaccines.

In addition, rs3181096 of CD28, as well as rs2227982 and rs36084323 of PDCD1, was associated with side effects of mRNA vaccine in the first and second doses of vaccination. rs733618 of CTLA4, as well as rs1879877, rs3181096 and rs3181098 of CD28, was associated with the side effects of adenoviral vector vaccine in the first and second doses of vaccination. Considering that the components and principles are different in various vaccines, these SNPs may be related to the mechanism by which the components in the vaccine induce side effects. Moreover, these SNPs were associated with several autoimmune diseases and cancer types, which is summarized in Supplementary Table 5. Furthermore, rs3181096 of CD28 showed a significant difference in the first and second doses of mRNA vaccines, adenoviral vector vaccine and combination. Finally, rs733618, rs11571316 and rs3087243 of CTLA4 and rs1234314 of TNFSF4 showed great significant difference, although the samples were distributed into the mRNA vaccine group or adenovirus vector vaccine group or their combination. Therefore, these SNPs may play an important role in vaccine-induced immune response.

The CD28 gene is located in the human chromosome 2q33 and the CD28 protein is primarily expressed on the naïve T cell. During T cell activation, CD28 plays an important role in providing a second signal for T cells when interacting with CD80/CD86 (22). Qi et al. showed that rs3181096 was related to the bingeing activity of HNF1_3. When rs3181096 contained C-allele, the transcription level of CD28 would reduce (23). The CTLA4 gene is located in the human chromosome 2q33 and the CTLA4 protein is expressed on activated and regulatory T cells (Tregs). Comparing CD28 with CD80/CD86, CTLA4 was found to play a negative role in T cell activation. Wang et al. showed that rs733618 was involved in regulating the binding activity of NF-1 and c/EBPbeta, and then altering the expression level of CTLA4 (24). These SNPs may modulate the immune response by altering the expression level of CD28 and CTLA4 proteins, leading to vaccine-induced side effects. Therefore, the CD28/CTLA4 pathway is considered as a system that regulates the balance between T cell activation and immune tolerance (22).

The TNFSF4 gene is located in the human chromosome 1q25.1 and composed of 13 exons. It belongs to the TNF superfamily protein and it is the key to the coordination of innate or adaptive immune cells. This protein plays an important role in the life cycle of immune cells, such as differentiation, activation, inhibition, and apoptosis and it is involved in the pathogenesis of various autoimmune and inflammatory diseases (25). Thus, rs1234314 associated with myalgia, joint pain and diarrhoea may be related to the characteristics of this protein.

We observed that SNPs of PDCD1 play a significant role in the side effects induced by mRNA vaccines. In addition, almost all SNPs were associated with fever, chills, headache, myalgia, and joint pain. The PDCD1 gene is located in the human chromosome 2q37. The PD1 molecule will be upregulated on the activated T cell after recognizing the antigen bound to major histocompatibility complex molecules by the T cell receptor. Thus, fever, chills, headache, myalgia and joint pain were due to prolonged antigen expression and PD1 over-expression, leading to excessive local immune response. However, CTLA4 SNPs were primarily associated with injection site discomfort of post-mRNA vaccination. The local immune response induced by vaccines usually results from adjuvants. Adjuvants can directly induce long-term protective immune responses in the host, such as liposomes coated with mRNA or the viral envelope. Adjuvants can help the vaccine induce an immune response and enhance the specificity of the antigen in vivo (26). Tritto et al. (7) hypothesized that alum adjuvanticity will delay the absorption of the injected antigen, allowing the antigen to retain at the local injection site in the form of high concentration particles, which will lead to prolonged exposure of antigens to innate immune cells, the release of cytokines and chemokines, and the enhancement of immune response. Then, these cytokines and chemokines will recruit neutrophils, monocytes, and T cells in the blood to the injection site, resulting in redness and swelling. Next, nociception occurs when cytokines, prostaglandins or ATP released by these immune cells interact with nociceptors and the threshold is reached (8). Combining the results of the present study with our previous finding, we found that rs11571315 and rs16840252 of CTLA4 were associated with the adverse reaction of post-haematopoietic stem cell transplantation in patients with acute lymphocytic leukemia (27) and immune thrombocytopenia (28). Moreover, such SNPs were associated with vaccine-induced side effects. Therefore, these two SNPs may be a hub in immune regulation.

This study has also some limitation, including its small sample size, which affect several statistical analyses utilized in within this study was a limitation. Thus, examination of data from a significant number of additional patients is necessary to establish a linkage more definitely between these SNPs and phenotypic responses to SARS-CoV-2 vaccination. In addition, the data are self-reported and the perception of pain and discomfort is different between individuals, which could not be quantified and compared. Moreover, these side effects are general responses to vaccination, not only COVID-19 vaccination.

Therefore, rs3181096 of CD28, rs733618, rs11571316 and rs3087243 of CTLA4, rs2227982 and rs36084323 of PDCD, and rs1234314 of TNFSF4 were associated with mild vaccine side effects. The immune responses originate from T cell activation; therefore, these immune regulatory genes are related to mild symptoms and they may also cause serious side effects. Therefore, the biological functions of SNPs and their effects on T cell activation should be further explored to understand the mechanism of the side effects of vaccination. In clinical application, public concern about the side effects of vaccination could be addressed and the risk of side effects in individuals could be evaluated before vaccination through genetic testing.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author.

Ethics statement

This study was reviewed and approved by Institutional Review Board (IRB) of Chang Gung Memorial Hospital (CGMH). The approved ID was 202101837B0. The patients/participants provided their written informed consent to participate in this study.

Author contributions

D-PC: literature review and analysis, statistical analysis and interpretation of data, drafting of manuscript. Y-HW: critical revision of manuscript, literature review. F-PH/W-TL: performed the experiments, analysis and interpretation of data. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by grants to D-PC from Chang Gung Memorial Hospital (BMRPA81).

Acknowledgement

We gratefully acknowledged Brian Tang and Enago (Crimson Interactive) for help as regards the poor English language of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.941497/full#supplementary-material

References

1. Franco LM, Bucasas KL, Wells JM, Niño D, Wang X, Zapata GE, et al. Integrative genomic analysis of the human immune response to influenza vaccination. Elife (2013) 2:e00299. doi: 10.7554/eLife.00299

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Tan PL, Jacobson RM, Poland GA, Jacobsen SJ, Pankratz VS. Twin studies of immunogenicity–determining the genetic contribution to vaccine failure. Vaccine (2001) 19(17-19):2434–9. doi: 10.1016/s0264-410x(00)00468-0

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ovsyannikova IG, Haralambieva IH, Vierkant RA, O’Byrne MM, Jacobson RM, Poland GA. The association of CD46, SLAM and CD209 cellular receptor gene SNPs with variations in measles vaccine-induced immune responses: a replication study and examination of novel polymorphisms. Hum Hered (2011) 72(3):206–23. doi: 10.1159/000331585

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Centers for Disease Control and Prevention. Vaccine/Possible side effects . Available at: https://www.cdc.gov/coronavirus/2019-ncov/vaccines/expect/after.html.

Google Scholar

5. Ahn SH, Zhiang J, Kim H, Chang S, Shin J, Kim M, et al. Postvaccination fever response rates in children derived using the fever coach mobile app: a retrospective observational study. JMIR Mhealth Uhealth (2019) 7(4):e12223. doi: 10.2196/12223

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Liu H, Xu D, Wang W, Sun F, Zhang S, Yang X, et al. Systematic assessment of risk of fever in solid tumor patients treated with PD-1/PD-L1 inhibitors: A systematic review and meta-analysis. Front Oncol (2020) 10:570080. doi: 10.3389/fonc.2020.570080

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Tritto E, Mosca F, De Gregorio E. Mechanism of action of licensed vaccine adjuvants. Vaccine (2009) 27(25-26):3331–4. doi: 10.1016/j.vaccine.2009.01.084

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Hervé C, Laupèze B, Del Giudice G, Didierlaurent AM, Tavares Da Silva F. The how’s and what’s of vaccine reactogenicity. NPJ Vaccines (2019) 4:39. doi: 10.1038/s41541-019-0132-6

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA covid-19 vaccine. N Engl J Med (2020) 383(27):2603–15. doi: 10.1056/NEJMoa2034577

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Anderson EJ, Rouphael NG, Widge AT, Jackson LA, Roberts PC, Makhene M, et al. Safety and immunogenicity of SARS-CoV-2 mRNA-1273 vaccine in older adults. N Engl J Med (2020) 383(25):2427–38. doi: 10.1056/NEJMoa2028436

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Zhu FC, Li YH, Guan XH, Hou LH, Wang WJ, Li JX, et al. Safety, tolerability, and immunogenicity of a recombinant adenovirus type-5 vectored COVID-19 vaccine: a dose-escalation, open-label, non-randomised, first-in-human trial. Lancet (2020) 395(10240):1845–54. doi: 10.1016/S0140-6736(20)31208-3

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Bruno PP, Carpino F, Carpino G, Zicari A. An overview on immune system and migraine. Eur Rev Med Pharmacol Sci (2007) 11(4):245–8.

PubMed Abstract | Google Scholar

13. Han D. Association of serum levels of calcitonin gene-related peptide and cytokines during migraine attacks. Ann Indian Acad Neurol (2019) 22(3):277–81. doi: 10.4103/aian.AIAN_371_18

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Black FL, Hierholzer W, Woodall JP, Pinhiero F. Intensified reactions to measles vaccine in unexposed populations of american indians. J Infect Dis (1971) 124(3):306–17. doi: 10.1093/infdis/124.3.306

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Jacobson RM, Ovsyannikova IG, Targonski PV, Poland GA. Studies of twins in vaccinology. Vaccine (2007) 25(16):3160–4. doi: 10.1016/j.vaccine.2007.01.048

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Beran J. Safety and immunogenicity of a new hepatitis b vaccine for the protection of patients with renal insufficiency including pre-haemodialysis and haemodialysis patients. Expert Opin Biol Ther (2008) 8(2):235–47. doi: 10.1517/14712598.8.2.235

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Carey LB, van Dijk D, Sloot PM, Kaandorp JA, Segal E. Promoter sequence determines the relationship between expression level and noise. PloS Biol (2013) 11(4):e1001528. doi: 10.1371/journal.pbio.1001528

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Wan H, Zhou H, Feng Y, Chen Y, Zhu L, Mi Y. Comprehensive analysis of 29,464 cancer cases and 35,858 controls to investigate the effect of the cytotoxic T-lymphocyte antigen 4 gene rs231775 A/G polymorphism on cancer risk. Front Oncol (2022) 12:878507. doi: 10.3389/fonc.2022.878507

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Tu Y, Fan G, Dai Y, Zeng T, Xiao F, Chen L, et al. Association between rs3087243 and rs231775 polymorphism within the cytotoxic T-lymphocyte antigen 4 gene and graves’ disease: a case/control study combined with meta-analyses. Oncotarget (2017) 8(66):110614–24. doi: 10.18632/oncotarget.22702

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Gatselis NK, Azariadis K, Lyberopoulou A, Dalekos GN. Programmed cell death-1 rs11568821 and interleukin-28B rs12979860 polymorphisms in autoimmune hepatitis. J Transl Autoimmun (2021) 4:100126. doi: 10.1016/j.jtauto.2021.100126

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Shastry BS. SNPs: impact on gene function and phenotype. Methods Mol Biol (2009) 578:3–22. doi: 10.1007/978-1-60327-411-1_1

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gardner D, Jeffery LE, Sansom DM. Understanding the CD28/CTLA-4 (CD152) pathway and its implications for costimulatory blockade. Am J Transplant (2014) 14(9):1985–91. doi: 10.1111/ajt.12834

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Qi YY, Zhang XX, Liu XR, Zhai YL, Pu XY, Wang XY, et al. CD28 gene variants associated with lupus nephritis in a Chinese population. Nephrol Dialysis Transplant (2019) 34(Supplement_1):gfz106. doi: 10.1093/ndt/gfz106.FP234

CrossRef Full Text | Google Scholar

24. Wang XB, Pirskanen R, Giscombe R, Lefvert AK. Two SNPs in the promoter region of the CTLA-4 gene affect binding of transcription factors and are associated with human myasthenia gravis. J Intern Med (2008) 263(1):61–9. doi: 10.1111/j.1365-2796.2007.01879.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Manku H, Langefeld CD, Guerra SG, Malik TH, Alarcon-Riquelme M, Anaya JM, et al. Trans-ancestral studies fine map the SLE-susceptibility locus TNFSF4. PloS Genet (2013) 9(7):e1003554. doi: 10.1371/journal.pgen.1003554

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Coffman RL, Sher A, Seder RA. Vaccine adjuvants: putting innate immunity to work. Immunity (2010) 33(4):492–503. doi: 10.1016/j.immuni.2010.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Chen DP, Chang SW, Wang PN, Lin WT, Hsu FP, Wang WT, et al. The association between single-nucleotide polymorphisms of co-stimulatory genes within non-HLA region and the prognosis of leukemia patients with hematopoietic stem cell transplantation. Front Immunol (2021) 12:730507. doi: 10.3389/fimmu.2021.730507

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Chen DP, Lin WT, Wen YH, Wang WT. Investigation of the correlation between immune thrombocytopenia and T cell activity-regulated gene polymorphism using functional study. Sci Rep (2022) 12(1):6601. doi: 10.1038/s41598-022-10631-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: single nucleotide polymorphism (SNP), immune regulatory genes, COVID-19, vaccine, side effect

Citation: Chen D-P, Wen Y-H, Lin W-T and Hsu F-P (2022) Association between the side effect induced by COVID-19 vaccines and the immune regulatory gene polymorphism. Front. Immunol. 13:941497. doi: 10.3389/fimmu.2022.941497

Received: 11 May 2022; Accepted: 10 October 2022;
Published: 26 October 2022.

Edited by:

Madhusudhanan Narasimhan, University of Texas Southwestern Medical Center, United States

Reviewed by:

Andrew Clark, University of Texas Southwestern Medical Center, United States
Ritthideach Yorsaeng, Chulalongkorn University, Thailand

Copyright © 2022 Chen, Wen, Lin and Hsu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ding-Ping Chen, a12048@adm.cgmh.org.tw

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.