Abstract
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a serious pandemic. COVID-19 vaccination is urgent needed for limiting SARS-CoV-2 outbreaks by herd immunity. Simultaneously, post-marketing surveillance to assess vaccine safety is important, and collection of vaccine-related adverse events has been in progress. Vision-threatening ophthalmic adverse events of COVID-19 vaccines are rare but are a matter of concern. We report a 45-year-old Japanese male with positive for HLA-DR4/HLA-DRB1*0405, who developed bilateral panuveitis resembling Vogt-Koyanagi-Harada (VKH) disease after the second dose of Pfizer-BioNTech COVID-19 mRNA (BNT162b2) vaccine. Glucocorticosteroid (GC) therapy combined with cyclosporine A (CsA) readily improved the panuveitis. The immune profile at the time of onset was analyzed using CyTOF technology, which revealed activations of innate immunity mainly consisting of natural killer cells, and acquired immunity predominantly composed of B cells and CD8+ T cells. On the other hand, the immune profile in the remission phase was altered by GC therapy with CsA to a profile composed primarily of CD4+ cells, which was considerably similar to that of the healthy control before the vaccination. Our results indicate that BNT162b2 vaccine may trigger an accidental immune cross-reactivity to melanocyte epitopes in the choroid, resulting in the onset of panuveitis resembling VKH disease.
Introduction
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an ongoing pandemic (). Regarding the epidemiologic characteristics of COVID-19 outbreak between 2019 and 2020, although the infection rate of COVID-19 varies greatly depending on country and region, generally 30% to 50% of COVID-19 patients were asymptomatic, 20% became severe, and 5% required mechanical ventilation management, half of those under ventilation management died (, ). As for the immune profiles of severe COVID-19 patients with acute respiratory distress syndrome (ARDS), cytokine release syndrome (CRS) may occur in these patients, which is a life-threatening systemic inflammatory syndrome involving elevated levels of circulating cytokines and immune cell hyperactivation (). In COVID-19 patients with ARDS, the levels of interleukin (IL)-1, tumor necrosis factor alpha (TNFα) and IL-6 are elevated in the peripheral blood (, ). In addition, severe COVID-19 patients display immune dysregulation manifesting macrophage activation as well as depletion of CD4+ T cells and natural killer (NK) cells ().
At present, COVID-19 vaccination is urgently implemented for limiting SARS-CoV-2 transmission, with the aim to reach a state of so-called herd immunity (). Several types of novel COVID-19 vaccines including a nucleoside-modified messenger ribonucleic acid (mRNA) have been approved (). Post-marketing surveillance to assess safety of the vaccines is extremely important, and has been performed to collect adverse events related to COVID-19 vaccines (). From the millions of doses of mRNA COVID-19 vaccines administered, general adverse events that occur in a considerable subset of individuals are mild to moderate reactions at the injection site, fever, fatigue, body aches, and headache (). Furthermore, rare but serious adverse effects including vasculitis, thrombosis, cerebral infarction, myocardial damage and multiple organ dysfunction have been reported (, ). Regarding COVID-19 vaccine-related ophthalmic adverse events, uveitis, acute macular neuroretinopathy, central serous retinopathy, multiple evanescent white dot syndrome, etc. are reported (). A few case studies on new onset of Vogt-Koyanagi-Harada (VKH) disease after adenovirus vector COVID-19 vaccine (Oxford AstraZeneca; ChAdOx1 nCoV-19/AZD1222) () and mRNA COVID-19 vaccine (Pfizer-BioNTech; BNT162b2) () have been published, although the onset mechanism of ophthalmic adverse events from the vaccines remains unclear.
Here we report a rare case of bilateral panuveitis resembling VKH disease occurring after the second dose of BNT162b2 vaccine, and present the immune profile of the patient including analysis of serum cytokines and cell-mediated immunity using multiplex bead analysis system and mass cytometry by time-of-flight (CyTOF) technology.
Case report
A 45-year-old Japanese male with no medical history of COVID-19 received the second dose of BNT162b2 vaccine. One day after the vaccination, headache and general malaise occurred, but disappeared spontaneously. Four days later, he visited a local doctor with complaint of distorted vision and color vision deficiency. The doctor confirmed the onset of serous retinal detachment (SRD) in the macula of the left eye, and he was referred to the ophthalmology department of our hospital for detailed investigations.
At presentation, his best corrected visual acuity (BCVA) on the decimal chart was 0.4 (0.40, when converted to logarithm of the minimum angle of resolution) in the right eye, and 0.6 (0.22) in the left eye. Slit-lamp examination detected grade 1+ inflammatory cells in the anterior chamber of the right eye, and grade 2+ in the left eye, while vitreous opacities was grade 0 in both eyes (). Color fundus photography showed bullous SRDs in the posterior retina of both eyes (Figure 1). SRDs, cystoid spaces in the neurosensory layer of the retina, and choroidal thickening were revealed by enhanced depth imaging optical coherence tomography. Fluorescein angiography (FA) images indicated multiple punctate fluorescein leakages and pooling consistent with the SRD locations, and hyperfluorescence of the optic disc. Indocyanine green angiography (IA) images depicted dark patches, implying inflammatory granuloma in the choroid.
Figure 1
On admission, body temperature was 37.1 degrees Celsius (°C), and there was no abnormal shadow on chest X-ray image. He did not notice tinnitus or onset of hair loss or gray hair. Peripheral blood tests showed white blood cell (WBC) count of 9.90 x 103 cells/μL, and differential counts of neutrophils 67.1%, lymphocytes 28.3% and monocytes 3.3% (Supplementary Table 1). Soluble IL-2 receptor level was 476 U/mL and erythrocyte sedimentation rate was 18 mm/hour, whereas C-reactive protein level was 0.3 mg/dL or less. In human leukocyte antigen (HLA) typing, HLA-DR4/HLA-DRB1*0405 and HLA-DR9/HLA-DRB1*0901 were positive. Diagnostic lumbar puncture revealed no pleocytosis (1 cell/mm3 in cerebrospinal fluid, Supplementary Table 2), implying exclusion of meningitis. Based on the clinical findings and laboratory data, this case was diagnosed as BNT162b2 vaccine-related bilateral panuveitis resembling VKH disease, which is categorized as “probable” based on the presence of ocular and extraocular manifestations (). As for drug-induced uveitis, we assessed the involvement of BNT162b2 vaccine in the panuveitis by the Naranjo score (, ), and judged it to be “probable” with a score of 5.
Glucocorticosteroid (GC) therapy was initiated according to the standard treatment for VKH disease (). In the clinical course of treatment (Supplementary Figure 1), we paid attention to deterioration of visual acuity and subfoveal choroidal thickness, and tapered the dose of prednisolone in accordance with the assessment of uveitis activity proposed by The standardization of Uveitis Nomenclature (SUN) Working Group (). At six months, subfoveal choroidal thickness in the right and left eyes deteriorated to 553 μm and 607 μm respectively, while visual acuity was well preserved, and the panuveitis was inactive () under administration of 12.5 mg/day prednisolone. In addition, the onset of steroid-induced diabetes mellitus was worried because HbA1c level was elevated to 7.1%. Therefore, we determined that combination therapy with prednisolone and cyclosporine A (CsA) was more appropriate than the prednisolone monotherapy to maintain the inactivation of the panuveitis. CsA was started at a dose of 250 mg/day (3.47 mg/kg/day) orally. Approximately seven months later, the multiple SRDs disappeared and BCVA recovered to 1.5 (1.30) in the right eye, and 1.5 (1.30) in the left eye. Fundus findings in the inactive phase are presented in Supplementary Figure 2. Results of laboratory tests are described in Supplementary Table 3.
To examine the immune profile of this case, peripheral blood samples were collected at the time of onset (Pre-P) and approximately seven months later (Post-P). Control samples from a healthy individual (co-author, male in the thirties) were obtained before BNT162b2 vaccination (Pre-C) and one month after the third BNT162b2 vaccination (Post-C). Serum cytokine levels were investigated by a multiplex bead analysis system (Bio-Plex Human Cytokine 27-plex panel; Bio-Rad, Hercules, CA, USA), and cell-mediated immunity was evaluated by CyTOF technology using the Maxpar Direct ImmunoPhenotyping Assay (MDIPA; Fluidigm, South San Francisco, CA, USA) (), according to manufacturer’s protocols. Serum levels of platelet derived growth factor-BB, IL-1 receptor antagonist, IL-7, IL-9, eotaxin, interferon-γ-inducible protein-10, macrophage inflammatory protein-1β, regulated on activation, normal T cell expressed and secreted were considerably higher compared with the levels reported for healthy individuals () (Table 1). On the other hand, serum levels of the remaining cytokines were within normal ranges.
Table 1
| Cytokine | Level | Detection range | |
|---|---|---|---|
| Lower | Upper | ||
| PDGF-BB | 2449.1 | 7.67 | 40371 |
| IL-1β | 0.69 | 0.28 | 4203 |
| IL-1ra | 35.56 | 9.56 | 10863 |
| IL-2 | 0 | 1.50 | 8778 |
| IL-4 | 1.53 | 0.16 | 2536 |
| IL-5 | 0 | 4.02 | 67622 |
| IL-6 | 0 | 0.37 | 5970 |
| IL-7 | 33.67 | 10.9 | 36230 |
| IL-8 | 1.18 | 0.75 | 9710 |
| IL-9 | 23.29 | 0.92 | 21827 |
| IL-10 | 0 | 0.84 | 11610 |
| IL-12 | 0 | 1.85 | 7840 |
| IL-13 | 0 | 1.41 | 5003 |
| IL-15 | 0 | 231.8 | 72994 |
| IL-17A | 3.13 | 2.69 | 10948 |
| Eotaxin | 107.12 | 0.09 | 1487 |
| bFGF | 6.98 | 3.52 | 3769 |
| G-CSF | 0 | 55.0 | 70103 |
| GM-CSF | 0 | 0.42 | 1823 |
| IFN-γ | 0 | 0.74 | 10943 |
| IP-10 | 1376.26 | 18.4 | 23765 |
| MCP-1 | 0 | 2.61 | 6960 |
| MIP-1α | 0.59 | 0.08 | 349 |
| MIP-1β | 37.51 | 1.42 | 1481 |
| RANTES | 992.4 | 1.44 | 5544 |
| TNFα | 6.38 | 2.73 | 53797 |
| VEGF-A | 0 | 69.9 | 69174 |
Serum cytokines levels of the patient with panuveitis at the time of onset.
Cytokine levels are expressed as pg/mL. Cytokine levels below detectable levels are treated as 0 (). bFGF, basic fibroblast growth factor; G-CSF, granulocyte colony-stimulating factor; GM-CSF, granulocyte macrophage colony-stimulating factor; IFN-γ, interferon-gamma; IL, interleukin; IL-1ra, IL-1 receptor antagonist; IP-10, interferon gamma-induced protein 10; MCP-1, monocyte chemotactic protein-1; MIP, macrophage inflammatory protein; PDGF, platelet derived growth factor; RANTES, regulated on activation normal T-cell expressed and secreted; TNFα, tumor necrosis factor alpha; VEGF, vascular endothelial growth factor.
Next, immune cell populations and cellular phenotypes in peripheral blood mononuclear cells were examined (Table 2 and Figure 2). Comparing Pre-P of the patient at the time of onset with Pre-C as BNT162b2 vaccine-naïve control, the cell populations of all CD8+ T cells except naïve, CD4+ central memory T cells, B cells and NK cells were increased in Pre-P, whereas those of CD8+ naïve T cells, CD4+ naïve T cells, T helper 1 (Th1)-like cells and T helper 2 (Th2)-like cells were relatively high in Pre-C. The immune profile of Post-P in the inactive phase was substantially similar to that of Pre-C, and the cell populations of CD8+ central memory T cells, CD4+ effector memory T cells, T helper 17 (Th17)-like cells, CD66b− neutrophils and eosinophils were increased compared to those at the time of onset (Pre-P). When we compared the immune profiles between Pre-C and Post-C to assess the efficacy of BNT162b2 vaccine in the healthy control, the cell populations of neutrophils, basophils, monocytes classical cells, and myeloid dendritic cells (mDCs) were increased in Post-C, while the cell populations of CD8+ naïve T cells, CD4+ naïve T cells, CD4+ terminal effector T cells, Th1-like cells, and Th2-like cells were relatively high in Pre-C. The heat map (Figure 2) displaying the distribution of immune cell populations in the four samples indicated that the immune profile of Pre-P was not similar in properties to the profiles of the other three samples (Pre-C, Post-C and Post-P), while there was a high property similarity between the immune profiles of Pre-C and Post-P.
Table 2
| Immune cell population | Cellular phenotype | Pre-C | Post-C | Pre-P | Post-P | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Intact live cells (%) | 100 | 100 | 100 | 100 | ||||||
| Lymphocytes | CD3 T cells + B cells + NK cells + plasmablasts | 61.6 | 41.9 | 80.7 | 63.7 | |||||
| CD3+ T cells | CD8 T cells + CD4 T cells + γδ T cells + MAIT/NKT cells | 47.4 | 33.3 | 33.9 | 47.4 | |||||
| CD8+ T cells | CD3+ CD66b- CD19- CD8+ CD4- CD14- CD161- TCRγδ- CD123- CD11c- | 14.6 | 11.7 | 17.7 | 17.6 | |||||
| Naïve | CD8 T cells + CD45RA+ CCR7+ CD27+ | 7.26 | 4.02 | 0.88 | 5.35 | |||||
| Central memory | CD8 T cells + CD45RA- CCR7+ CD27+ | 0.13 | 0.04 | 0.05 | 0.31 | |||||
| Effector memory | CD8 T cells + CCR7- CD27+ | 1.60 | 2.26 | 4.67 | 1.43 | |||||
| Terminal effector | CD8 T cells + CCR7- CD27- | 5.61 | 5.39 | 12.1 | 10.5 | |||||
| CD4+ T cells | CD66b- CD3+ CD8- CD4+ CD14- TCRγδ- CD11c- | 26.2 | 13.3 | 11.9 | 28.0 | |||||
| Naïve | CD4 T cells + CD45RA+ CCR7+ CD27+ | 14.9 | 6.11 | 3.95 | 16.5 | |||||
| Central memory | CD4 T cells + CD45RA- CCR7+ CD27+ | 2.62 | 2.00 | 3.21 | 3.03 | |||||
| Effector memory | CD4 T cells + CD45RA- CCR7- CD27+ | 0.00 | 4.01 | 3.48 | 6.60 | |||||
| Terminal effector | CD4 T cells + CD45RA- CCR7- CD27- | 8.91 | 1.21 | 1.22 | 1.82 | |||||
| Treg cells | CD4 T cells + CD25+ CD127- CCR4+ | 0.44 | 0.43 | 0.81 | 0.21 | |||||
| Th1-like cells | CD4 T cells + CXCR3+ CCR6- CXCR5- CCR4- | 1.35 | 0.22 | 0.41 | 0.57 | |||||
| Th2-like cells | CD4 T cells + CXCR3- CCR6- CXCR5- CCR4+ | 2.83 | 1.38 | 2.35 | 2.25 | |||||
| Th17-like cells | CD4 T cells + CXCR3- CCR6+ CXCR5- CCR4+ | 0.68 | 1.30 | 1.06 | 2.38 | |||||
| γδ T cells | CD66b- CD3+ CD8dim,- CD4- CD14- TCRγδ dim,+ | 6.51 | 7.28 | 4.19 | 1.40 | |||||
| CD4- T Cells | ||||||||||
| MAIT/NKT cells | CD66b- CD3+ CD4- CD14- CD161+ TCRγδ- CD28+ CD16- | 0 | 0.99 | 0.18 | 0.45 | |||||
| B cells | CD3- CD14- CD56- CD16 dim,- CD19+ CD20+ HLA-DR dim,+ | 11.8 | 4.95 | 15.4 | 9.38 | |||||
| Naïve | B cells + CD27- | 9.37 | 3.41 | 11.4 | 7.90 | |||||
| Memory | B cells + CD27+ | 2.38 | 1.44 | 3.54 | 1.46 | |||||
| Plasmablasts | CD3- CD14- CD16-,dim CD66b- CD20- CD19+ CD56- CD38++ CD27+ | 0.07 | 0.09 | 0.41 | 0.01 | |||||
| NK cells | CD14- CD3- CD123- CD66b- CD45RA+ CD56 dim,+ | 2.43 | 3.67 | 31.4 | 6.92 | |||||
| Early | NK cells + CD57- | 1.52 | 2.61 | 11.4 | 1.83 | |||||
| Late | NK cells + CD57+ | 0.91 | 1.06 | 20.0 | 5.09 | |||||
| Monocytes | CD3- CD19- CD56- CD66b- HLA-DR+ CD11c+ | 9.65 | 11.9 | 6.87 | 9.88 | |||||
| Classical | Monocytes + CD14+ CD38+ | 8.55 | 11.0 | 5.09 | 9.54 | |||||
| Transitional | Monocytes + CD14 dim CD38 dim | 0.82 | 0.62 | 0.61 | 0.20 | |||||
| Nonclassical | Monocytes + CD14- CD38- | 0.27 | 0.23 | 1.17 | 0.14 | |||||
| Dendritic cells | pDCs+ mDCs | 0.48 | 0.79 | 0.20 | 0.24 | |||||
| Plasmacytoid DCs | CD3- CD19- CD14- CD20- CD66b- HLA-DR dim,+ CD11c- CD123+ | 0.03 | 0.11 | 0.12 | 0.04 | |||||
| Myeloid DCs | CD3- CD19- CD14- CD20- HLA-DR dim,+ CD11c dim,+ CD123- CD16 dim,- CD38 dim,+ CD294- HLA-D | 0.45 | 0.68 | 0.08 | 0.20 | |||||
| Granulocytes | Neutrophils + basophils + eosinophils + CD66b- neutrophils | 17.0 | 35.9 | 3.71 | 18.7 | |||||
| Neutrophils | CD66b dim,+ CD16+ HLA-DR- | 16.4 | 32.5 | 2.83 | 13.0 | |||||
| Basophils | HLA-DR- CD66b- CD123 dim,+ CD38+ CD294+ | 0.04 | 2.37 | 0.48 | 0.36 | |||||
| Eosinophils | CD14- CD3- CD19- HLA-DR- CD294+ CD66b dim,+ | 0.25 | 0.27 | 0.13 | 0.61 | |||||
| CD66b- neutrophils | CD3- CD19- CD66b- CD56- HLA-DR- CD123- CD45- | 0.32 | 0.75 | 0.27 | 4.74 | |||||
Immune cell populations and cellular phenotypes in peripheral blood mononuclear cell samples from the patient and healthy control.
Cellular phenotypes in this table are as defined by Bagwell et al. (). Nomenclature such as TCRγδ dim,+ means that dim to positive events are selected. CsA, cyclosporine A; DCs, dendritic cells; GC, glucocorticosteroid; HLA, human leukocyte antigen; MAIT cells, mucosal associated invariant T cells; mDCs, myeloid DCs; NK cells, natural killer cells; NKT cells, natural killer T cells; pDCs, plasmacytoid DCs; Post-C, healthy control one month after the third dose of BNT162b2 vaccine; Post-P, patient receiving GC therapy combined with CsA in the inactive phase; Pre-C, healthy control before BNT162b2 vaccination; Pre-P, patient not receiving GC therapy at the time of onset; Th1-like cells, T helper 1-like cells; Th2-like cells, T helper 2-like cells; Th17-like, T helper 17-like cells.
Figure 2
Discussion
To the best of our knowledge, we present the first immunological profiling of a patient with BNT162b2 vaccine-related ophthalmic adverse events. Three main conclusions can be drawn (
Currently, there are some discussions about the relationship between COVID-19 vaccination and the onset of uveitis with unknown etiology, which is very rare but nonetheless a significant adverse event. Since the innate immune system primed by the first dose of COVID-19 mRNA vaccination elicits a stronger response after the boost dose (
VKH disease is an acute panuveitis characterized by bilateral, diffuse granulomatous lesions resulted from stromal choroiditis, accompanied by neurologic manifestations of headache and nausea (
Accumulating evidence indicates that dysregulated T cell subsets including cytotoxic T cells (
Although numerous new drugs have been developed within the last few decades, high-dose GC pulse therapy has been the most widely used treatment for VKH disease at the time of onset, because most patients respond well, and achieve symptom amelioration within a few days of the therapy (
We had a good opportunity to examine the immune profile of not only the patient with panuveitis but also BNT162b2 vaccine-induced immune fluctuations in a healthy subject (Table 2 and Figure 2). When infected with SARS-CoV-1 or Middle-east respiratory syndrome coronavirus similar to SARS-CoV-2 (39), innate immunity is augmented by activation of pattern recognition receptors (40). In this study, the sample from the healthy control after the third dose of BNT162b2 vaccine was collected approximately one month after the vaccination. In that sample, the immune cell populations of granulocytes (predominantly neutrophils and basophils), monocytes, and mDCs that are APCs were increased. Therefore, innate immunity may be predominantly activated approximately one month after the third vaccination. On the other hand, the activation of acquired immunity primarily involving B cells and T cells is speculated to occur in the early phase after COVID-19 vaccination, when the increases of SARS-CoV-2 spike 1-specific immunoglobulin G and neutralizing antibodies are induced (41). Therefore, the changes in immune profiles of the healthy control before and after BNT162b2 vaccination may provide a valuable source of information for understanding immune responses following BNT162b2 vaccination.
CRS developed in severe COVID-19 patients with ARDS (
This study has several limitations (
Funding
TS received a Grant-in-Aid for Advanced Medical Development from National Defense Medical College, and Research Grant from Daiwa Securities Health Foundation. MT is supported by a Grant-in-Aid for Scientific Research C from the Japan Society for the Promotion of Science (16K11337).
Publisher’s note
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Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Ethics statement
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.
Author contributions
TS and MT drafted the manuscript. TS and MT reviewed and edited the manuscript. TS and YN performed cytokine measurements. TS and YN performed phenotyping of peripheral blood mononuclear cells. RN involved in treatment of this case, and collected the data. DS provided peripheral blood samples as a healthy control. All authors contributed to the article and approved the submitted version.
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.967972/full#supplementary-material
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Summary
Keywords
cyTOF, heat map, multiplex bead analysis, uveitis, Vogt-Koyanagi-Harada disease, BNT162b2 vaccine, covid-19 mRNA vaccines
Citation
Sato T, Nihei R, Sora D, Nishio Y and Takeuchi M (2022) Case report: Bilateral panuveitis resembling Vogt-Koyanagi-Harada disease after second dose of BNT162b2 mRNA COVID-19 vaccine. Front. Immunol. 13:967972. doi: 10.3389/fimmu.2022.967972
Received
13 June 2022
Accepted
08 September 2022
Published
29 September 2022
Volume
13 - 2022
Edited by
Madhusudhanan Narasimhan, University of Texas Southwestern Medical Center, United States
Reviewed by
Wared Nour-Eldine, Qatar Biomedical Research Institute, Qatar; Cristhian Alejandro Urzua, University of Chile, Chile; Manisha Agarwal, Dr Shroff Charity Eye Hospital, India
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Copyright
© 2022 Sato, Nihei, Sora, Nishio and Takeuchi.
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: Masaru Takeuchi, masatake@ndmc.ac.jp
†These authors have contributed equally to this work
This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology
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