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CASE REPORT article

Front. Cardiovasc. Med., 19 May 2023

Sec. Thrombosis and Haemostasis

Volume 10 - 2023 | https://doi.org/10.3389/fcvm.2023.1189320

A case report of vaccine-induced immune thrombotic thrombocytopenia (VITT) with genetic analysis

  • 1. Department of Hematology, Evandro Chagas National Institute of Infectious Diseases, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil

  • 2. Department of Medical Affairs, Clinical Studies, and Post-Registration Surveillance (DEAME), Institute of Technology in Immunobiologicals/Bio-Manguinhos, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil

  • 3. Research Center, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil

  • 4. Laboratório de Hanseníase, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil

  • 5. Laboratory of Immunopharmacology, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil

  • 6. Onco-Hematology Unit, Clínica São Vicente, Rio de Janeiro, Brazil

  • 7. Department of Medicine, Hematology and Oncology Division, University Hospitals, Case Western University, Cleveland, OH, United States

  • 8. Laboratory of Clinical Research on STD/AIDS, Evandro Chagas National Institute of Infectious Diseases Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil

  • 9. Laboratório de Vírus Respiratórios, Exantemáticos, Enterovírus e Emergências Virais, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil

  • 10. Intensive Care Department, Instituto D’Or de Pesquisa e Ensino, Rio de Janeiro, Brazil

  • 11. Grupo Integrado de Pesquisas em Biomarcadores, Instituto René Rachou, Fundação Oswaldo Cruz (FIOCRUZ-Minas), Belo Horizonte, Brazil

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Abstract

The emergence of the rare syndrome called vaccine-induced immune thrombocytopenia and thrombosis (VITT) after adenoviral vector vaccines, including ChAdOx1 nCov-19, raises concern about one's predisposing risk factors. Here we report the case of a 56-year-old white man who developed VITT leading to death within 9 days of symptom onset. He presented with superior sagittal sinus thrombosis, right frontal intraparenchymal hematoma, frontoparietal subarachnoid and massive ventricular hemorrhage, and right lower extremity arterial and venous thrombosis. His laboratory results showed elevated D-dimer, C-reactive protein, tissue factor, P-selectin (CD62p), and positive anti-platelet factor 4. The patient's plasma promoted higher CD62p expression in healthy donors' platelets than the controls. Genetic investigation on coagulation, thrombophilia, inflammation, and type I interferon-related genes was performed. From rare variants in European or African genomic databases, 68 single-nucleotide polymorphisms (SNPs) in one allele and 11 in two alleles from common SNPs were found in the patient genome. This report highlights the possible relationship between VITT and genetic variants. Additional investigations regarding the genetic predisposition of VITT are needed.

Introduction

Mass vaccination against SARS-CoV-2 was the main measure to mitigate hospitalizations, long-term health outcomes, and death due to the COVID-19 pandemic. However, after millions of doses were administered, reports of a very rare syndrome called vaccine-induced immune thrombocytopenia and thrombosis (VITT) began to rise (1). The hallmark features are thrombocytopenia, thrombosis within 5–30 days of adenoviral SARS-CoV-2 vaccination, with strikingly elevated levels of D-dimer, hypofibrinogenemia, and positive antibodies against platelet factor 4 (PF4) (2). The clinical presentation depends on the thrombosis site. The typical targets are the cerebral venous sinus or splanchnic vein, arterial, or multiple beds (1–3).

The underlying mechanism of the syndrome is similar to heparin-induced thrombocytopenia (HIT), with the formation of aggregates of PF4 and the ChAdOx1 adenovector in an inflammatory environment induced by vaccination, with subsequent generation of high-avidity anti-PF4 IgG, which triggers platelet activation, prothrombotic cascade, and release of neutrophil extracellular traps (NETs) (4). However, the interplay between anti-PF4 antibodies and platelet activation is complex. A longitudinal study showed a slight but transient thrombin generation after ChadOx1 nCov-19. In addition, 19.6% (12/61) samples were positive for anti-PF4 before vaccination and 3.2% (2/61) were considered strong. Low titers of anti-PF4 remained unchanged after vaccination, and no seroconversion was detected. No thrombotic events occurred in this study (5).

Differences in incidence among countries and detection of oligoclonal anti-PF4 antibodies raised the suspicion of a genetic predisposition in VITT (6, 7). Individual factors like genetic ancestry might play a critical role in disease pathogenesis. Here, we report a fatal case of a Brazilian male who developed VITT 4 days after vaccination with ChAdOx1 nCov-19, its platelet activation profile, and genetic analysis.

Case description

A 56-year-old white man with a history of essential hypertension controlled with atenolol received the first ChAdOx1 nCov-19 vaccine in early May 2021. Four days after vaccination, he developed fever, malaise, and persistent headache. On the fifth day following vaccination, he presented with nausea, vomiting, fall from his height, generalized skin rash on the lower limbs, and ecchymosis. He was promptly admitted. His platelet count was 17,000/mm3 (150,000–450,000/mm3), D-dimer 41,000 ng/ml (<500 ng/ml), and fibrinogen 121 mg/dl (200–400 mg/dl). Peripheral smear showed no platelet clumps or schistocytes. Brain computed tomography (CT) examination identified right frontal heterogeneous intraparenchymal hematoma, measuring approximately 6.4 cm × 5.2 cm × 4.8 cm with a thin hypodense halo, causing mass effect with a local reduction in the amplitude of the sulci, compression over the right lateral ventricle resulting in contralateral deviation of midline structures by 0.7 cm, in addition to areas of bilateral frontoparietal subarachnoid hemorrhage. He also presented with a massive ventricular hemorrhage filling in the right lateral ventricle, the posterior horn of the left lateral ventricle, and the fourth ventricle, and bleeding in the right Sylvian cistern and perimesencephalic cistern. There was no evidence of aneurysmal dilatation. The CT angiogram the following day identified thrombosis in the superior sagittal sinus. Also, a lower extremities Doppler ultrasound showed right arterial and venous thrombosis. He underwent urgent neurosurgery for hematoma drainage and decompressive craniectomy. A few hours after the procedure, he developed new bleeding and bilateral cerebral edema and received plasma, cryoprecipitate, fibrinogen concentrate, platelet transfusions, and 70 g (1 g/kg) intravenous immunoglobulin. Despite all measures, the patient died with refractory intracranial hypertension on day 13 after vaccination.

Laboratory and clinical investigation

Patient’s relatives and healthy unvaccinated controls provided written informed consent approved by the local Ethics Committee for clinical and laboratory investigations (CAAE #68118417.6.0000.5248 and #48532621.8.0000.5262, respectively). SARS-CoV-2 RT-PCR of the nasopharyngeal swab and serology to dengue, Chikungunya, Zika, HIV, hepatitis B and C, Cytomegalovirus (CMV), Epstein-Barr virus (EBV), toxoplasmosis, and rubella were negative. Relatives denied any past COVID-19 infection or heparin exposure. There was no personal or family history of thrombosis or miscarriages.

IgG anti-PF4 antibodies were detected with a 3.33 optical density (reference ≤ 0.4). A flow cytometry-based assay to detect platelet-activating antibodies was performed according to Handtke et al. (8) (Figure 1A). When added to healthy donor platelets, patient plasma elicited increased expression of CD62p to a greater extent than plasma from healthy heterologous donors. However, in the presence of high concentrations of heparin, which can destabilize PF4/adenovector aggregates due to its higher affinity to PF4, platelet activation levels were reduced to control levels, confirming the presence of platelet-activating immunocomplexes in the patient's plasma. Elevated plasmatic levels of CD62p, released by activated platelets and endothelial cells, and of tissue factor (TF, coagulation factor III), the primary activator of the extrinsic pathway of the coagulation cascade, corroborate the extensive platelet activation and clot formation (Figures 1B,C). Additional laboratory results are characterized in Table 1. The results of other blood tests were unremarkable except for increased alanine aminotransferase, C-reactive protein, IL-1β, and caspase-1. Antinuclear antibodies, anti-cardiolipin IgG and IgM, lupus anticoagulant, and beta-2 glycoprotein 1 IgG were not detected.

Figure 1

Figure 1

Functional VITT test, markers of platelet activation and coagulation. (A) A flow cytometry-based assay to detect platelet-activating antibodies was performed according to Handtke et al. Levels of CD62p surface expression in healthy donor's platelets stimulated with plasma from the patient in the presence of low (1 UI/ml) and high (100 UI/ml) concentrations of heparin. Plasmatic levels of CD62p (B) and tissue factor (C). The blue area represents the reference range of healthy donors. VITT, vaccine-induced immune thrombocytopenia and thrombosis;

Table 1

Laboratory test Reference range 01/20/21 05/14/21 05/16/21a
Hemoglobin (g/dl) 12.0–16.0 16.1 10.9 6.1
Platelet count (per mm3) 150,000–450,000 207,000 17,000 17,000
Leucocytes (per mm3) 4,500–11,000 6,860 8,700 9,700
D-dimer (ng/ml) <500 41,000 97,016
Fibrinogen (mg/dl) 200–400 264 121
Activated partial thromboplastin time (rel) <1.25 0.94
International normalized ratio 0.8–1.2 1.31
C-reactive protein (mg/dl) <0.3 18.40
Aspartate aminotransferase (U/l) 15–37 21 176
Alanine aminotransferase (U/l) 6–45 48 79
PCR Sars-Cov-2 Not detected
Anti-heparin/PF4 ELISA (OD) ≤0.4 3.33
Tissue factor (pg/ml) 90–150 170
P-selectin (pg/ml) 23–59 116.6
IL-18 (pg/ml) ≤650 493.6
IL-1β (pg/ml) ≤8 135.9
Caspase-1 (pg/ml) ≤148 226.6
PF4 (ng/ml) 50–155 63.2

Patient’s laboratory data.

OD, optical density.

a

Functional assay.

We performed genetic analysis using the Axiom™ Human Genotyping SARS-CoV-2 Research Array, which genotypes more than 870,000 single-nucleotide polymorphisms (SNPs) in the human genome. The first strategy consisted of screening mutations in 232 autosomal genes essential for thrombotic syndromes, to inflammatory disorders, and related to type I interferon (IFN) signaling (Table 2). Aiming to select rare variants, the minor allele frequency up to 0.01 in European or African populations was settled as a cutoff. Six thousand four hundred sixty-six related SNPs were present in the array, and 5,953 are described in the 1KGP database. From the selected SNPs, 689 and 845 rare putative variants were found in databases of African and European populations, respectively. Among them, 68 were found in heterozygosity in the patient. From these, seven SNPs have been studied in clinical conditions; four were considered benign; one likely benign; one, rs116667976, in the Factor XI gene (F11) with conflicting interpretations of pathogenicity (9); and the last one, rs2884737, in the VKORC1 gene, associated with Warfarin drug response. A descriptive analysis of the SNPs is depicted in Table 3.

Table 2

Gene SNPs on HGSRA SNPs in 1KGP SNPs with MAF <0.01 in AFR SNPs with MAF <0.01 in EUR Case's SNPs in Heterozygosity with MAF < 0.01 in AFR or EUR
ABCC4 86 84 7 15 1
ABCG5 7 7 0 0 0
ABCG8 16 16 0 0 0
ABO 101 49 3 4 0
ACE 136 108 5 40 0
ACTB 23 23 4 0 0
ACTN1 66 66 6 2 0
ADA 15 14 1 0 1
ADAMTS13 10 10 4 0 0
AIM2 34 34 1 8 1
ANKRD26 9 9 1 0 0
ANO6 60 56 10 8 1
AP3B1 84 81 11 6 2
AP3D1 31 31 3 4 0
APOA5 5 5 1 0 0
ARPC1B 1 1 0 0 0
BAZ1B 23 23 1 1 0
BLOC1S3 1 1 0 0 0
BLOC1S6 7 7 2 1 1
C1S 9 0 0 0 0
C2 54 43 7 6 0
C3 60 60 3 6 0
C3AR1 8 0 0 0 0
C4BPA 22 22 2 2 2
C5 17 17 2 2 1
C5AR1 17 17 4 3 0
C9 22 22 3 3 0
CADM1 57 57 5 9 0
CALR 6 4 1 2 0
CAMP 7 7 1 4 0
CARD8 31 31 4 6 0
CASP1 4 4 0 0 0
CASP4 5 5 1 0 0
CASP5 9 9 0 4 0
CD14 6 5 1 0 0
CD163 10 1 0 0 0
CD27 1 1 0 0 0
CD46 7 7 1 0 0
CD70 19 19 2 2 1
CDC42 15 15 1 0 0
CETP 41 41 2 1 0
CFB 26 23 9 6 2
CFD 12 12 0 3 0
CFH 30 29 2 2 0
CFHR1 1 1 0 0 0
CFHR2 1 1 0 0 0
CFHR3 5 5 0 1 0
CFHR4 4 4 2 0 0
CFHR5 7 7 2 3 0
CFI 10 9 0 2 0
CHI3L1 22 22 2 0 0
CORO1A 2 2 0 1 0
CPB2 12 12 0 1 0
CRP 67 67 4 7 0
CST1 15 15 0 1 0
CST4 18 17 3 1 0
CTPS1 41 41 5 5 0
CXCL8 8 8 0 1 0
CYCS 37 37 4 4 1
CYP4V2 8 8 0 1 0
DGKE 10 10 2 0 0
DIAPH1 8 8 2 0 0
DTNBP1 80 79 9 13 0
EDEM2 6 6 0 1 0
ETV6 195 193 17 32 4
FADD 1 1 0 0 0
FAS 12 12 1 0 1
FASLG 38 38 2 3 0
FCGR2A 18 18 4 2 0
FERMT3 3 3 1 2 0
FGA 15 10 1 1 0
FGB 14 11 0 1 0
FGG 11 9 0 2 0
FII 8 5 1 2 1
FLI1 56 56 2 4 0
FV 61 47 6 8 1
FVII 27 14 4 3 0
FX 26 12 2 2 0
FXI 31 10 0 1 1
FXII 11 5 1 1 0
GATA2 6 6 1 0 0
GCKR 14 14 0 1 0
GDF15 14 14 2 0 0
GFI1B 56 56 3 7 0
GGCX 21 10 1 1 0
GNE 9 9 0 2 0
GP1BA 11 5 1 2 0
GP6 28 26 2 2 0
GP9 5 5 1 2 0
GRN 35 14 1 4 1
HABP2 22 22 0 3 0
HAVCR2 8 8 1 0 0
HIVEP1 24 23 2 2 0
HOXA11 1 1 0 0 0
HPS1 10 10 1 1 1
HPS3 14 14 2 2 0
HPS4 22 22 4 1 1
HPS5 7 7 1 0 0
HPS6 2 2 0 0 0
HRG 9 9 1 3 0
IFI16 23 22 3 3 0
IFIH1 29 21 11 10 1
IFNA1 9 7 1 4 0
IFNA10 1 0 0 0 0
IFNA13 2 1 0 1 0
IFNA14 6 6 6 3 1
IFNA16 6 6 2 2 0
IFNA17 3 0 0 0 0
IFNA2 5 5 2 3 0
IFNA21 6 6 2 1 0
IFNA4 4 3 3 2 0
IFNA5 14 13 5 9 0
IFNA6 6 6 2 4 0
IFNA7 4 4 3 1 1
IFNA8 4 3 0 1 0
IFNAR1 17 14 6 8 1
IFNAR2 44 33 11 9 2
IFNB1 11 8 4 4 0
IFNE 2 2 0 1 0
IFNK 10 8 5 3 0
IFNW1 18 13 4 4 0
IKZF5 3 3 0 0 0
IL10 14 13 3 2 0
IL18 8 8 1 0 0
IL1B 9 9 0 0 0
IL2RA 42 42 9 7 2
IL6 22 21 3 0 1
IRAK4 6 6 2 1 0
IRF7 9 2 1 1 0
IRF9 3 3 0 1 0
ITGA2B 9 5 1 0 0
ITGB3 34 25 1 5 1
ITIH3 7 7 1 0 0
ITK 102 101 10 4 1
JAK1 48 43 28 9 3
JAK2 36 33 6 4 0
KDSR 8 8 0 1 0
KIF25 22 22 0 2 0
KLKB1 14 14 0 1 0
KNG1 24 15 1 0 0
LAMP1 15 13 1 5 0
LBP 24 23 1 3 0
LCN2 9 9 1 0 0
LIPA 67 65 10 15 3
LMAN1 13 10 4 1 0
LRG1 8 8 0 0 0
LYST 39 35 4 4 2
MASP2 7 7 0 0 0
MCFD2 7 7 0 1 0
MECOM 343 342 27 21 1
MEFV 19 18 5 4 0
MMACHC 1 1 0 0 0
MMP9 16 13 1 6 0
MPL 1 1 0 1 0
MPO 13 13 0 2 0
MTHFR 13 12 0 1 0
MVK 2 2 1 1 0
MYD88 1 1 0 0 0
MYH9 102 99 12 13 0
NAP1L4 25 24 4 2 0
NAT8B 2 2 1 0 0
NBEA 95 95 11 9 2
NBEAL2 4 4 1 0 0
NEK7 93 93 9 12 1
NLRC4 5 5 1 0 0
NLRP1 37 36 1 6 0
NLRP3 43 43 1 4 0
NLRP6 9 9 0 0 0
NLRP7 52 51 2 7 0
NR1I2 25 20 0 2 0
PDGFA 13 13 0 0 0
PDGFB 67 65 8 7 0
PF4 16 16 2 3 0
PLA2G4A 95 95 10 8 0
PLAT 21 18 3 4 0
PLAU 4 4 0 1 0
PLG 18 12 0 4 1
PNP 25 25 0 6 0
PRG4 5 5 1 2 0
PROC 26 8 0 1 0
PROCR 8 7 0 1 0
PROSI 19 15 2 6 0
PTGS1 24 21 4 4 0
PTX3 1 1 0 0 0
PYCARD 1 1 0 0 0
RAB27A 24 24 1 2 0
RASGRP2 8 5 1 2 0
RGS7 237 235 21 35 3
RUNX1 502 496 51 59 4
S100A8 6 6 2 1 0
S100A9 4 4 0 0 0
SAA1 9 9 0 0 0
SAA2 1 1 0 3 0
SELP 25 25 0 3 0
SERPINA 10 8 8 2 3 0
SERPINA1 37 35 3 4 0
SERPINA3 17 17 1 1 0
SERPINC1 11 8 1 4 0
SERPIND1 14 12 4 2 0
SERPINE1 23 21 4 1 0
SERPINF2 8 8 1 1 0
SLC44A2 30 29 4 2 1
SLC7A7 26 25 1 1 1
SLFN14 9 9 0 0 0
SRC 62 62 9 3 0
STAB2 78 78 12 3 2
STAT1 30 25 10 8 0
STIM1 35 35 3 5 0
STX11 49 49 2 13 0
STXBP2 19 19 3 6 0
STXBP5 20 19 3 3 0
TBK1 52 44 12 17 1
TBXA2R 10 9 1 1 0
TBXAS1 85 75 10 7 0
TC2N 18 18 0 0 0
THBD 18 18 1 4 0
THPO 7 7 0 0 0
TICAM1 23 22 6 7 0
TLR3 76 65 3 15 2
TNFRSF1A 8 7 0 1 0
TPM4 37 37 3 6 0
TRPM7 20 20 3 2 1
TSPAN15 23 23 4 4 1
TUBB1 16 10 2 3 0
TYK2 20 14 6 8 0
UNC13D 4 4 0 0 0
UNC93B1 29 27 3 11 0
VIPAS39 6 6 0 1 1
VKORC1 18 10 2 1 1
VPS33B 11 10 1 3 0
VWF 112 94 10 16 0
WT1 87 85 6 6 1
Total 6,466 5,953 689 845 68

List of autosomal genes and number of SNPs investigated in the case of VITT.

VITT, vaccine-induced immune thrombocytopenia and thrombosis; SNPs, single-nucleotide polymorphism; HGSRA, human genotyping SARS-CoV-2 research array; 1KGP, 1000 genomes project; MAF, minor allele frequency; AFR, African population; EUR, European population.

Table 3

Gene Variant (VCF) Chr rsID Genecode comprehensive category Genecode comprehensive info Clinical significance Disease name Review status SIFTcat PolyPhen cat AFR 1KGP MAF EUR 1KGP MAF Patient genotype
AIM2 1-159092646-G-A 1 rs2518564 Intronic AIM2 NA NA NA NA NA 0.010 0.808 GA
C4BPA 1-207103339-G-A 1 rs61815046 Upstream C4BPA NA NA NA NA NA 0.007 0.172 AG
C4BPA 1-207158980-G-A 1 rs76181153 Intergenic C4BPA(dist = 14,008), AL445493.2(dist = 20,316) NA NA NA NA NA 0.001 0.079 AG
F5 1-169522317-G-A 1 rs2420371 Intronic F5 NA NA NA NA NA 0.001 0.064 GA
LYST 1-235853701-G-A 1 rs34341762 Intronic LYST NA NA NA NA NA 0.000 0.011 AG
LYST 1-235824437-A-G 1 rs35753830 Intronic LYST NA NA NA NA NA 0.010 0.223 AG
NEK7 1-198091159-C-T 1 rs72749413 Intergenic LHX9(dist = 155681), NEK7(dist = 65,835) NA NA NA NA NA 0.001 0.106 TC
RGS7 1-241059620-G-A 1 rs183029590 Intronic RGS7 NA NA NA NA NA 0.004 0.061 AG
RGS7 1-241036695-T-C 1 rs538423 Intronic RGS7 NA NA NA NA NA 0.005 0.406 CT
RGS7 1-241243124-C-A 1 rs72760521 Intronic RGS7 NA NA NA NA NA 0.010 0.105 AC
JAK1 1-64963772-G-T 1 rs116528404 Intronic JAK1 NA NA NA NA NA 0,002 0,016 TG
JAK1 1-64838867-T-C 1 rs310242 Intronic JAK1 NA NA NA NA NA 0,000 0,134 TC
JAK1 1-64912220-T-C 1 rs72675483 Intronic JAK1 NA NA NA NA NA 0,000 0,136 CT
IFIH1 2-162260675-G-T 2 rs17713557 Intergenic FAP(dist = 17,219), IFIH1(dist = 6,399) NA NA NA NA NA 0,003 0,047 TG
MECOM 3-169102384-A-G 3 rs79129760 Intronic MECOM NA NA NA NA NA 0.004 0.033 GA
F11 4-186284272-G-A 4 rs116667976 Intronic F11 Conflicting interpretations of pathogenicity Hereditary factor XI deficiency disease; not provided Criteria provided, conflicting interpretations NA NA 0.000 0.003 AG
TLR3 4-186102925-C-T 4 rs62347994 Intergenic TLR3(dist = 14,856), FAM149A(dist = 1,494) NA NA NA NA NA 0,002 0,124 TC
TLR3 4-185984081-A-G 4 rs78642332 Intergenic SORBS2(dist = 27,429),RNU4-64P(dist = 42,375) NA NA NA NA NA 0,096 0,001 GA
AP3B1 5-78050187-C-T 5 rs252800 Intronic AP3B1 NA NA NA NA NA 0.007 0.172 TC
AP3B1 5-78257979-C-A 5 rs10474531 Intronic AP3B1 NA NA NA NA NA 0.004 0.336 AC
ITK 5-157202838-C-T 5 rs111782388 ncRNA intronic AC010609.1 NA NA NA NA NA 0.002 0.100  
CFB 6-31947158-T-C 6 rs1048709 Exonic/synonymous SNV AL645922.1,CFB Benign Macular degeneration; Complement component 2 deficiency; Atypical hemolytic-uremic syndrome 4; Complement factor B deficiency; not provided Criteria provided, multiple submitters, no conflicts NA NA 0.009 0.152 TC
CFB 6-31946896-C-T 6 rs13194698 Intronic AL645922.1,CFB NA NA NA NA NA 0.002 0.009 TC
PLG 6-160722602-A-G 6 rs4252121 Intronic PLG Benign Not provided Criteria provided, single submitter NA NA 0.325 0.009 GA
CYCS 7-24992255-A-G 7 rs17232369 Intergenic OSBPL3(dist = 10,621), CYCS(dist = 127,836) NA NA NA NA NA 0.003 0.108 GA
IL6 7-22727814-A-G 7 rs2069832 Intronic IL6 NA NA NA NA NA 0.001 0.411 AG
C5 9-121006922-C-T 9 rs17611 Exonic/nonsynonymous SNV C5 Benign Not specified; not provided Criteria provided, multiple submitters, no conflicts tolerated benign 0.007 0.458 TC
IFNA7 9-21203292-A-G 9 rs117970353 Intergenic IFNA7(dist = 1,087), IFNA10(dist = 2,889) NA NA NA NA NA 0,000 0,014 GA
IFNA14 9-21254456-G-A 9 rs10115240 Intergenic IFNA14(dist = 14,465), IFNA5(dist = 49,870) NA NA NA NA NA 0,000 0,019 GA
FAS 10-88997863-A-G 10 rs9658706 Intronic FAS NA NA NA NA NA 0.001 0.097 GA
HPS1 10-98426622-A-C 10 rs12570988 Intronic HPS1 NA NA NA NA NA 0.132 0.003 CA
IL2RA 10-6012120-T-C 10 rs41290329 UTR3 IL2RA(ENST00000379959.7:c.*752A > G, ENST00000379954.5:c.*752A > G) Likely benign Interleukin 2 receptor, alpha, deficiency of Criteria provided, single submitter NA NA 0.001 0.010 TC
IL2RA 10-5990954-G-A 10 rs41294605 Intergenic IL15RA(dist = 12,767), IL2RA(dist = 19,735) NA NA NA NA NA 0.002 0.110 AG
LIPA 10-89244146-C-T 10 rs12240489 Intronic LIPA NA NA NA NA NA 0.011 0.089 TC
LIPA 10-89334037-G-A 10 rs59564102 Intronic IFIT3, LIPA NA NA NA NA NA 0.003 0.079 AG
LIPA 10-89218513-T-C 10 rs6586174 Intronic LIPA NA NA NA NA NA 0.007 0.214 TC
TSPAN15 10-69470965-C-T 10 rs78150807 Intronic TSPAN15 NA NA NA NA NA 0.008 0.189 TC
F2 11-46739206-G-A 11 rs3136516 Intronic F2 Benign Thrombophilia due to thrombin defect; not provided Criteria provided, single submitter NA NA 0.006 0.523 AG
WT1 11-32262490-T-C 11 rs11031673 Intergenic AL078612.2(dist = 118,767), WT1(dist = 125,285) NA NA NA NA NA 0.005 0.194 CT
ANO6 12-45400648-G-T 12 rs4768609 Intronic ANO6 NA NA NA NA NA 0.009 0.475 TG
ETV6 12-11655600-C-T 12 rs1894330 Intronic ETV6 NA NA NA NA NA 0.005 0.337 TC
ETV6 12-11766473-C-T 12 rs3825083 Intronic ETV6 NA NA NA NA NA 0.006 0.167 TC
ETV6 12-11767464-G-A 12 rs60587284 Intronic ETV6 NA NA NA NA NA 0.005 0.169 AG
ETV6 12-11773615-C-T 12 rs61921814 Intronic ETV6 NA NA NA NA NA 0.002 0.030 TC
STAB2 12-103741305-G-A 12 rs3844213 Intronic STAB2 NA NA NA NA NA 0.004 0.238 GA
STAB2 12-103594533-T-C 12 rs703597 Intronic STAB2 NA NA NA NA NA 0.005 0.227 CT
TBK1 12-56356420-C-T 12 rs2066819 Intronic TBK1 NA NA NA NA NA 0,000 0,065 TC
ABCC4 13-95210855-T-G 13 rs16950758 Intronic ABCC4 NA NA NA NA NA 0.053 0.006 GT
NBEA 13-35599778-A-G 13 rs78478047 Intronic NBEA NA NA NA NA NA 0.002 0.022 GA
NBEA 13-35045248-A-G 13 rs9543121 Intronic NBEA NA NA NA NA NA 0.003 0.171 GA
SLC7A7 14-22826823-G-A 14 rs56252908 Intronic SLC7A7 NA NA NA NA NA 0.007 0.115 AG
VIPAS39 14-77429241-G-A 14 rs116854785 Intronic VIPAS39 NA NA NA NA NA 0.012 0.010 AG
BLOC1S6 15-45600721-G-A 15 rs117544584 Intronic AC090527.2, BLOC1S6 NA NA NA NA NA 0.001 0.033 AG
TRPM7 15-50565263-T-G 15 rs1986073 Intronic TRPM7 NA NA NA NA NA 0.007 0.212 GT
VKORC1 16-31094233-A-C 16 rs2884737 ncRNA exonic; splicing AC135050.7; VKORC1(ENST00000394971.7:exon1:c.267 + 2T > G) Drug response Warfarin response—Dosage Reviewed by expert panel NA NA 0.002 0.256 CA
GRN 17-44331964-T-C 17 rs77316809 Downstream AC003043.1 NA NA NA NA NA 0.083 0.008 CT
ITGB3 17-47302881-G-A 17 rs13306488 Intronic AC068234.1, ITGB3 NA NA NA NA NA 0.000 0.003 AG
CD70 19-6593591-C-T 19 rs344595 Intronic CD70 NA NA NA NA NA 0.005 0.118 CT
SLC44A2 19-10628918-T-G 19 rs11670384 Intronic SLC44A2 NA NA NA NA NA 0.001 0.203 GT
ADA 20-44631548-T-C 20 rs73113339 Intronic ADA NA NA NA NA NA 0.001 0.027 CT
RUNX1 21-34990282-T-C 21 rs2242878 Intronic RUNX1 NA NA NA NA NA 0.007 0.179 TC
RUNX1 21-35595917-G-A 21 rs4817730 Intronic RUNX1 NA NA NA NA NA 0.006 0.125 GA
RUNX1 21-34902639-T-C 21 rs6417685 Intronic RUNX1 NA NA NA NA NA 0.004 0.095 TC
RUNX1 21-35179264-T-G 21 rs9977362 Intronic RUNX1 NA NA NA NA NA 0.010 0.669 CT
IFNAR2 21-33186096-A-C 21 rs12626404 Intergenic LINC01548(dist = 15,447), IFNAR2(dist = 43,805) NA NA NA NA NA 0,000 0,259 CA
IFNAR2 21-33209547-A-G 21 rs2834146 Intergenic LINC01548(dist = 38,898), IFNAR2(dist = 20,354) NA NA NA NA NA 0,003 0,246 AG
IFNAR1 21-33318683-G-A 21 rs62228028 Intergenic IL10RB(dist = 8,496), IFNAR1(dist = 5,746) NA NA NA NA NA 0,002 0,077 AG
HPS4 22-26483125-G-A 22 rs9620611 Intronic HPS4 NA NA NA NA NA 0.005 0.288 AG
MTHFR 1-11796321-G-A 1 rs1801133 exonic MTHFR Drug response Neoplasm of stomach; Gastrointestinal stromal tumor; Thrombophilia due to thrombin defect; Homocystinuria due to methylene tetrahydrofolate reductase deficiency; Neural tube defects, folate-sensitive; MTHFR deficiency, thermolabile type; Homocystinuria due to MTHFR deficiency; carboplatin response—Efficacy; cyclophosphamide response—Toxicity/ADR; methotrexate response—Dosage, Efficacy, Toxicity/ADR; not provided ENST00000376486.3, ENST00000376583.7, ENST00000376585.6, ENST00000376590.8, ENST00000376592.6, ENST00000423400.7, ENST00000641407.1, ENST00000641446.1 Deleterious Probably damaging 0,079 0,365 AA
F11 4-186271327-T-C 4 rs2036914 Intronic F11 Benign not provided criteria provided, single submitter NA NA 0,320 0,471 TT
F11 4-186269656-A-G 4 rs4253405 Intronic F11 NA NA NA NA NA 0,112 0,400 GG
TLR3 4-186125608-C-T 4 rs6849187 Intronic FAM149A NA NA NA NA NA 0,490 0,487 CC
TLR3 4-186089972-C-T 4 rs6857595 Intergenic TLR3(dist = 1,903), FAM149A(dist = 14,447) NA NA NA NA NA 0,324 0,255 TT
IFNW1 9-21114676-G-A 9 rs7852828 Intergenic IFNB1(dist = 36,734), IFNW1(dist = 25,538) NA NA NA NA NA 0,438 0,395 AA
TBK1 12-64582269-C-A 12 rs1245035 Intronic RASSF3 NA NA NA NA NA 0,431 0,370 CC
TBK1 12-64590589-C-T 12 rs1520765 Intronic RASSF3 NA NA NA NA NA 0,484 0,438 CC
TICAM1 19-4800091-C-A 19 rs4807643 UTR3 FEM1A(ENST00000269856.4:c.*6227C > A) NA NA NA NA NA 0,134 0,360 CC
TICAM1 19-4804512-T-C 19 rs8102626 Intergenic FEM1A(dist = 3,239), TICAM1(dist = 11,420) NA NA NA NA NA 0,231 0,180 CC
IFNAR2 21-33245645-A-T 21 rs2252650 Intronic AP000295.1, IFNAR2 NA NA NA NA NA 0,224 0,333 AA

Annotation of rare SNPs found in heterozygosity and common SNPs in homozygosity (gray) in the patient.

SNPs, single-nucleotide polymorphism; VCF, variant call format; Chr, chromosome; SIFT, sorting intolerant from tolerant; AFR, African population; EUR, European population; 1KGP, 1000 Genomes Project; MAF, minor allele frequency; NA, not available.

In addition to the search for rare variants, a second strategy was employed. We performed a screening of common mutations in the European or African populations that were in homozygosity in the patient. We assessed classical hereditary thrombophilia-associated mutations: Factor V Leiden G1691A (rs6025), Factor II G20210A (rs1799963), and methylenetetrahydrofolate reductase (MTHFR), C677T (rs1801133) and A1298C (rs1801131), in addition to distinct mutations on F11 and genes related to type I IFN. The patient was homozygous for the missense MTHFR variant c.665C > T chr1-11856378 G > A p.Ala222Val NM_005957.5 rs1801133, with clinical relevance for methotrexate drug response, with a general population frequency of approximately 0.3. His medical records from January 2021 and 2008 showed normal levels of folic acid and homocysteine, respectively. Also, he was not on vitamin B12 supplementation or had ever had hemolysis. Furthermore, he was homozygous for the variants in FXI rs2036914 and rs4253405; in TLR3 rs6849187 and rs6857595; in IFNW1 rs7852828; in TBK1/RASSF3 rs1245035 and rs1520765; in TICAM1 rs4807643 and rs8102626; and in IFNAR2 rs2252650. Besides rs2036914, classified as benign, none of these variants have been described as associated with clinical diseases (Table 3 in gray).

Discussion

VITT is a rare but life-threatening disease described after the COVID-19 vaccination rollout with the adenoviral platform (2). The regulatory agencies use thrombosis with thrombocytopenia syndrome (TTS) as a descriptive term for VITT, not necessarily caused by vaccination (10). Herein, we describe a patient who developed a clinical condition consistent with the Level 1 TTS Brighton Collaboration case definition after the first dose of ChAdOx1 nCoV-19 (11). Our patient was one of the 39 VITT cases described in Brazil after primary vaccination in 2021 (12). According to the UK Expert Hematology Panel published by Pavord et al. (2), he was also classified as a definite VITT case. This series of 220 VITT British patients identified platelet counts of less than 30,000/mm3 and the presence of intracranial hemorrhage as being independently associated with death, with 73% mortality if they coexist (2). Our patient presented both poor prognostic factors and succumbed despite proper healthcare assistance.

Differences in VITT incidence worldwide support distinct genetic ancestries on pathogenesis, although other explanations, such as underreporting and health systems inequalities, should be addressed. The highest incidence was reported in Norway after ChAdOx1 nCoV-19, with five cases among 130,000 individuals, suggesting an incidence of 1 in 26,000 (13). In the United States, the VAERS surveillance system identified 54 cases of TTS from among over 14 million recipients of Ad26.COV2.S, for an incidence of 3.8 per million (approximately 1 in 263,000) (14). In addition to age below 50 years and first exposure to the COVID-19 adenovirus vaccine within 30 days, VITT risk factors are unknown and seem to differ from the traditional prothrombotic conditions. Unlike HIT, VITT is caused by monoclonal or oligoclonal anti-PF4 antibodies (7). This finding also indicates a potential role for the genetic predisposition in VITT pathophysiology. Thus, further studies characterizing anti-PF4 antibody–producing cells are needed.

The effect of MTHFR variants on thrombotic risk is controversial. Recent guidelines state that MTHFR polymorphisms should not be a part of inherited thrombophilia testing due to a lack of clinical evidence (15, 16). However, a meta-analysis based on case-control studies found that the rs1801133 MTHFR C677T polymorphism—the same identified in our patient—could increase ischemic stroke susceptibility in Asian, male, and young-middle age populations (17). Another meta-analysis enrolled 99 genetic association studies, including Brazilians, concluded that the MTHFR rs1801133 polymorphism might be implicated in developing deep vein thrombosis and pulmonary embolism in non-VITT patients and may serve as a potential biological marker for venous thromboembolism in Caucasians, East Asians, and West Asians (18). Yet, the frequency of MTHFR polymorphisms in VITT is unexplored. A heterozygous MTHFR C677T rs1801133 variant has been identified in an Italian patient with cerebral sinus thrombosis with thrombocytopenia after COVID-19 vaccination and increased levels of homocysteine and folate deficiency (19). This description was a probable VITT case, given the lack of anti-PF4 positivity. Another paper from Germany has reported two women presenting with cerebral sinus vein thrombosis after the ChAdOx1 vaccine, each carrying an MTHFR variant (heterozygous A1298C and homozygous MTHFR C677T variant) (20).

The F11 variant rs116667976 found in heterozygosity in the patient is classified as likely benign by ACMG and presented as having conflicting interpretations of pathogenicity in the ClinVar database. It has been selected as a potentially functional mutation in thrombosis without functional analysis available (21). The same SNP was described in 2 out of 49 women with heavy menstrual bleeding. However, functional data are still missing for assessing the involvement of this very rare variant in thrombotic diseases (22). The other F11 variants that were presented in two alleles of the patient, rs2036914 and rs4253405, African and European, have been evaluated in studies of percutaneous coronary intervention and venous thrombosis, respectively, but the genotype found in the patient from our study has not been described to be associated with any disease (23). The high allele frequency of these SNPs makes it difficult to find any associations.

Type I IFNs are induced by exposure of cells to pathogen-associated molecular patterns (PAMPs) detected by receptors like toll-like receptors (TLRs). By distinct mechanisms, type I IFN signaling leads to inflammasome activation, pyroptosis, and, lately, the release of proinflammatory molecules and prothrombotic mediators, like TF, initiating the extrinsic coagulation pathway (24). Due to the involvement of type I IFN response to thrombotic processes, we also evaluated SNPs in the related genes. We found eight variants in homozygosity in the patient. However, none of them are found in exons or have been studied for thrombotic diseases.

Early recognition and treatment are essential for a favorable outcome in VITT. Risk factors are still poorly understood. We described a case report of VITT in an individual harboring a benign rs1801133 homozygous variant in MTHFR and the rs116667976, rs2036914, and rs4253405 in the F11, apart from homozygous mutations in IFNAR2, IFNW1, TBK1, TICAM1, and TLR3 genes without reported clinical significance. Although these findings could favor a genetic predisposition, most of the variants found are frequent, and further genomic research is needed to establish a causal association.

Patient perspective

This work is of value for alerting healthcare professionals to the early signs and symptoms of VITT and adding information about a possible genetic background related to the disease development.

Statements

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

The studies involving human participants were reviewed and approved by Comitê de Ética em Pesquisa com Seres Humanos do Isntituto Oswaldo Cruz. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the patient's brother for the publication of this case report.

Author contributions

DPMA and CCG: conceptualizing and writing the original draft. DPMA and PK: attending to the patient and analyzing the clinical data. RMG and PTB: performing and analyzing the platelet functional assay and writing; JB, EG, BH, SWC, and BG: recruiting controls for platelet functional assay comparison and revising the manuscript. PMNO and MMLSM: revising the manuscript. FSGK: performing genetic data analysis. MMS, BG, PTB, and CCG: supervising the study, funding acquisition, writing review, and editing. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by INOVA Covid-19 Geração de Conhecimento FIOCRUZ/Fundação Oswaldo Cruz (Grant number 48402179262880) and FAPERJ. Instituto Oswaldo Cruz was in charge of the publication fee.

Acknowledgments

We thank the patient's relatives and controls for consenting to the study.

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.

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Summary

Keywords

vaccine-induced thrombotic thrombocytopenia, ChAdOx1 nCoV-19 vaccine, genetic predisposition, polymorphisms, anti-PF4 antibodies, VITT

Citation

Mendes-de-Almeida DP, Kehdy FSG, Martins-Gonçalves R, Bokel J, Grinsztejn E, Mouta Nunes de Oliveira P, Maia MdLdS, Hoagland B, Wagner Cardoso S, Grinsztejn B, Siqueira MM, Kurtz P, Bozza PT and Garcia CC (2023) A case report of vaccine-induced immune thrombotic thrombocytopenia (VITT) with genetic analysis. Front. Cardiovasc. Med. 10:1189320. doi: 10.3389/fcvm.2023.1189320

Received

18 March 2023

Accepted

24 April 2023

Published

19 May 2023

Volume

10 - 2023

Edited by

Luca Spiezia, University of Padua, Italy

Reviewed by

Omer Iqbal, Loyola University Chicago, United States Ariela Hoxha, University Hospital of Padua, Italy

Updates

Copyright

* Correspondence: Cristiana C. Garcia

†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.

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