In-Depth Evaluation of a Case of Presumed Myocarditis After the Second Dose of COVID-19 mRNA Vaccine
2021; Lippincott Williams & Wilkins; Volume: 144; Issue: 6 Linguagem: Inglês
10.1161/circulationaha.121.056038
ISSN1524-4539
AutoresAlagarraju Muthukumar, Madhusudhanan Narasimhan, Quan‐Zhen Li, Lenin Mahimainathan, Imran Hitto, Franklin Fuda, Kiran Batra, Xuan Jiang, Chengsong Zhu, John W. Schoggins, James B Cutrell, Carol L. Croft, Amit Khera, Mark H. Drazner, Justin L. Grodin, Benjamin Greenberg, Pradeep P.A. Mammen, Sean J. Morrison, James A. de Lemos,
Tópico(s)Virus-based gene therapy research
ResumoHomeCirculationVol. 144, No. 6In-Depth Evaluation of a Case of Presumed Myocarditis After the Second Dose of COVID-19 mRNA Vaccine Free AccessCase ReportPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissionsDownload Articles + Supplements ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toSupplemental MaterialFree AccessCase ReportPDF/EPUBIn-Depth Evaluation of a Case of Presumed Myocarditis After the Second Dose of COVID-19 mRNA Vaccine Alagarraju Muthukumar, Madhusudhanan Narasimhan, Quan-Zhen Li, Lenin Mahimainathan, Imran Hitto, Franklin Fuda, Kiran Batra, Xuan Jiang, Chengsong Zhu, John Schoggins, James B. Cutrell, Carol L. Croft, Amit Khera, Mark H. Drazner, Justin L. Grodin, Benjamin M. Greenberg, Pradeep P.A. Mammen, Sean J. Morrison and James A. de Lemos Alagarraju MuthukumarAlagarraju Muthukumar Department of Pathology (A.M., M.N., L.M., I.H., F.F.), University of Texas Southwestern Medical Center, Dallas. , Madhusudhanan NarasimhanMadhusudhanan Narasimhan Department of Pathology (A.M., M.N., L.M., I.H., F.F.), University of Texas Southwestern Medical Center, Dallas. , Quan-Zhen LiQuan-Zhen Li Department of Immunology (Q.-Z.L.), University of Texas Southwestern Medical Center, Dallas. Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Lenin MahimainathanLenin Mahimainathan Department of Pathology (A.M., M.N., L.M., I.H., F.F.), University of Texas Southwestern Medical Center, Dallas. , Imran HittoImran Hitto https://orcid.org/0000-0002-9928-4175 Department of Pathology (A.M., M.N., L.M., I.H., F.F.), University of Texas Southwestern Medical Center, Dallas. , Franklin FudaFranklin Fuda Department of Pathology (A.M., M.N., L.M., I.H., F.F.), University of Texas Southwestern Medical Center, Dallas. , Kiran BatraKiran Batra Department of Radiology (K.B.), University of Texas Southwestern Medical Center, Dallas. , Xuan JiangXuan Jiang Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Chengsong ZhuChengsong Zhu Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , John SchogginsJohn Schoggins Department of Microbiology (J.S.), University of Texas Southwestern Medical Center, Dallas. , James B. CutrellJames B. Cutrell Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Carol L. CroftCarol L. Croft Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Amit KheraAmit Khera https://orcid.org/0000-0001-7255-6874 Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Mark H. DraznerMark H. Drazner https://orcid.org/0000-0003-3054-4757 Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Justin L. GrodinJustin L. Grodin https://orcid.org/0000-0003-2400-3196 Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Benjamin M. GreenbergBenjamin M. Greenberg https://orcid.org/0000-0002-2091-8201 Department of Neurology and Neurotherapeutics (B.M.G.), University of Texas Southwestern Medical Center, Dallas. Department of Pediatrics (B.M.G.), University of Texas Southwestern Medical Center, Dallas. , Pradeep P.A. MammenPradeep P.A. Mammen https://orcid.org/0000-0001-5688-7091 Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. , Sean J. MorrisonSean J. Morrison https://orcid.org/0000-0003-1587-8329 Howard Hughes Medical Institute (S.J.M.), University of Texas Southwestern Medical Center, Dallas. Children's Medical Center Research Institute (S.J.M.), University of Texas Southwestern Medical Center, Dallas. and James A. de LemosJames A. de Lemos Correspondence to James A. de Lemos, MD, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5939 Harry Hines Boulevard, Dallas, TX 75390. Email E-mail Address: [email protected] https://orcid.org/0000-0003-2211-7261 Department of Internal Medicine (Q.-Z.L., X.J., C.Z., J.B.C., C.L.C., A.K., M.H.D., J.L.G., P.P.A.M., J.A.d.L.), University of Texas Southwestern Medical Center, Dallas. Originally published16 Jun 2021https://doi.org/10.1161/CIRCULATIONAHA.121.056038Circulation. 2021;144:487–498Other version(s) of this articleYou are viewing the most recent version of this article. Previous versions: June 16, 2021: Ahead of Print Initial PresentationA 52-year-old man presented to the emergency department ≈90 min after the onset of substernal chest pain. Three days before presentation, he received his second dose of mRNA-1273 (Moderna) vaccine for coronavirus disease 2019 (COVID-19), and the next day had a severe reaction that he described as being the "worst he had ever felt." He had subjective high fevers, shaking chills, myalgias, and a headache. These symptoms largely resolved by the third day after vaccination except for a positional headache that was unusual for him. On the morning of hospitalization, he walked 3 to 4 miles and felt fine. Later that day, while in a meeting, he developed persistent midsternal chest discomfort without radiation, prompting him to seek evaluation in a university hospital emergency department. The pain subsided spontaneously after approximately 3 hours. He had no associated dyspnea, palpitations, dizziness, fever, chills, or myalgia.The patient had a past medical history of hypertension, hypercholesterolemia, obstructive sleep apnea treated with an oral appliance, and minor elevations in liver function tests attributed to possible hepatic steatosis. A recent screening coronary artery calcium scan demonstrated coronary artery calcium at the 81st percentile for age and sex. The patient had no previous history of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. His medications included aspirin 81 mg, simvastatin 40 mg, ezetimibe 10 mg, and lisinopril 10 mg daily, and he took no supplements. He drank alcohol socially and denied use of tobacco and all recreational drugs.On physical examination, the following vital signs were recorded: oral temperature 36.8°C, pulse 73/min, blood pressure 124/76, and respiratory rate 18/min, and his oxygen saturation was 100% on room air. Pulmonary and cardiac examinations were normal without a pericardial friction rub. The remainder of his physical examination was normal.In the emergency department, his initial ECG showed sinus rhythm with left axis deviation and incomplete right bundle-branch block without ST or T wave changes (Figure 1A). His initial high-sensitivity cardiac troponin I was 2768 ng/L. Point-of-care echocardiogram showed normal left ventricular function and volumes, and no wall motion abnormalities. Urgent coronary angiography showed mild nonobstructive coronary artery disease with no stenoses or visible thrombus and no evidence of coronary embolism or dissection (Figure 1B and 1C).Download figureDownload PowerPointFigure 1. ECG and coronary angiogram.A, The ECG on presentation to the emergency department. B, A posterior anterior cranial projection of a dominant right coronary artery and with no severe angiographic stenoses or flow-limiting lesions in the main vessel or its branches. C, A right anterior oblique caudal projection of a bifurcating left coronary artery and no severe angiographic stenoses or flow-limiting lesions in the main vessel or its branches.His initial laboratory panel revealed normal white blood cells 6.3 × 109/L (76% polymorphonuclear leukocytes, 14% lymphocytes, 9% monocytes, 0.5% eosinophils, and 0.2% basophils), hemoglobin 14.9 g/L, and platelets 207 × 109/L. Chemistries were remarkable for glucose of 172 mg/dL, but creatinine 0.87 mg/dL and alanine aminotransferase 58 U/L were consistent with his baseline. High-sensitivity cardiac troponin I peaked at 6770 ng/L at 7 hours after admission and remained elevated (551 ng/L) even after 4 days. In contrast, high-sensitivity cardiac troponin T and creatine kinase-MB biomarkers showed modest elevation (Table 1). C-reactive protein, erythrocyte sedimentation rate, and D-dimer were elevated in the first sample taken at the time of admission but resolved to near normal levels within 1 to 2 days. Antinuclear antibodies were negative.Table 1. Relevant Biochemical Parameters in the Case of InterestDescriptionCIS1CIS2CIS3CIS4Reference rangecTnI HS (ng/L)677015961440551<26cTnT HS (V gen P) (ng/L)n/an/an/a138≤15.0BNP (pg/mL)50n/an/an/a<100CRP (mg/L)19.112.85.9n/a≤5.0ESR (mM/h)2542n/an/a0–15CK-MB Index4.83.2n/an/a0.0-3.0Ferritin (ng/mL)162119n/an/a22–275D-dimer (mg/L FEU)0.740.57n/an/a≤0.59IL-6 (pg/mL)<2.0<2.0n/an/a<2.0Glucose (mg/dL)17211310716670–139AST (U/L)49n/an/an/a10–50ALT (U/L)58n/an/an/a10–50Abnormal results are shown in bold. CIS1, CIS2, CIS3, and CIS4 indicate case of interest sample at day 1, day 2, day 3, and day 4 after symptom onset, respectively. ALT indicates alanine aminotransferase; AST, aspartate aminotransferase; BNP, B-type natriuretic peptide; CK-MB, creatine kinase-MB; CRP, c-reactive protein; cTnI HS, high-sensitivity cardiac troponin I; cTnT HS, high-sensitivity cardiac troponin T; ESR, erythrocyte sedimentation rate; IL-6, interleukin 6; and n/a, not tested or not available.Additional Clinical TestingA repeat echocardiogram performed on hospital day 2 revealed a normal ejection fraction without wall motion abnormalities and no valvular or pericardial abnormalities. Contrast-enhanced cardiac magnetic resonance imaging (MRI) with parametric mapping was performed on a 1.5T MRI scanner (Siemens Healthineers) on hospital day 3. Delayed contrast-enhanced phase-sensitive images showed midmyocardial and subepicardial linear and nodular late gadolinium enhancement in the inferoseptal, inferolateral, anterolateral, and apical walls. The left ventricle showed mild dilatation and "low normal" left ventricular ejection fraction at 54%. The right ventricular ejection fraction was normal at 58%. Parametric mapping showed elevated T1 relaxation time and relative inhomogeneity and focal elevation of the T2 relaxation values (Figure 2). In addition, wall motion abnormalities with mild hypokinesis of the lateral and inferior apical walls were noted. These findings were consistent with myocarditis on the basis of the modified Lake Louise criteria.1Download figureDownload PowerPointFigure 2. Phase-sensitive inversion-recovery cardiac magnetic resonance imaging.Right, Short-axis views demonstrating linear and curvilinear delayed enhancement in the subepicardial inferior basal and mesocardial midventricular region, compatible with nonischemic pattern of delayed enhancement. Middle, A native T1 map showing globally increased T1 values (1054 ms), Local native myocardial T1 (short axis [SA] and 4 chamber [4CH] midwall) (965 ± 35) and specifically higher values in the regions of delayed enhancement. The color map shows relaxation times with normal relaxation time in green and increased relaxation time in red and orange. Left, Native T2 map with heterogenous relative increased T2 values within the same segments (arrows) (maximum T2 value was 65 ms) (local normal T2 values for our institution, 45–64 ms). Color scale shows time in milliseconds.Hospital CourseThe chest discomfort in the patient had fully resolved within 3 hours after onset and did not recur. He reported feeling normal throughout the remainder of his 4-day hospital stay. Endomyocardial biopsy was not performed because of his resolution of symptoms, preserved left ventricular ejection fraction, and the absence of any hemodynamic or arrhythmic complications. The patient was treated with low-dose lisinopril and carvedilol, but no immunosuppressive or anti-inflammatory medications. At the time of discharge, the patient remained asymptomatic, and his high-sensitivity cardiac troponin T levels had fallen to 138 ng/L. His NT-proBNP (N-terminal pro-B-type natriuretic peptide) at discharge was 3 months since hospital discharge. Given the presumptive diagnosis of myocarditis, exercise has been restricted, and he has remained on β-blocker and angiotensin-converting enzyme inhibitor medications. Repeat high-sensitivity cardiac troponin I was 10 ng/L 4 days after discharge and undetectable ( A) were identified, suggesting that the known gene variants are not the cause of myocarditis in the case patient.Screening of Cytokine ResponseAlthough the vaccine-induced immune response is chiefly linked to protective immunity, an exaggerated and unwarranted immune reaction could potentially heighten inflammation and augment the risk of immunopathology. We measured a panel of 48 cytokines and chemokines in the case patient using fluorescent bead-based Bio-Plex Pro Human Cytokine Screening Panel, per the manufacturer's instructions (Bio-Rad, CA), as described in the Methods in the Data Supplement. Cytokine levels in the case patient were NV or NM (Figure 5). The trend of cytokine changes in the case of interest along with the control groups is shown in Table 3. To aid efficient interpretation of this data, we considered as abnormal only the analytes with ≥2.0-fold increase (bold) or a ≥2.0 decrease (bold and italics) in CIS1–S4 versus both NM and NUV groups. The NUV comparison provides a reference interval to interpret the case patient's cytokine results. Given the inclusion of 2 comparators NM and NUV, if the 2-fold change is in 1 direction versus 1 comparator and in the opposite direction for another comparator, then those cytokine changes are indicated in italics. This analysis revealed in the case patient elevated levels of 4 cytokines (IL-1ra, IL-5, IL-16, and MIG), diminished levels of 1 cytokine LIF (leukemia inhibitory factor), and 3 other cytokines (IL-10, MIF, and VEGF) with bidirectional pattern (increase or decrease) relative to the comparators, NM or NUV (Table 3). Although statistical inference is not possible because of the single case patient, and the clinical relevance of the magnitude of difference seen is not clear, some of the following changes are of potential interest. The level of IL-1ra (IL-1 receptor antagonist) in the first sample from the case patient after symptom onset (CIS1; 1174 pg/mL) was comparable with levels in patients with active COVID-19 infection (unvaccinated patients hospitalized with COVID-19; 1183 pg/mL). Generation of IL-1ra could be a compensatory counterattacking mechanism to limit excessive inflammation. In support of this notion, it has been documented that treatment with IL-1ra rescues myocarditis-associated end-stage heart failure.4 Around the time of symptom onset, the case patient also displayed elevated levels of other cytokines, IL-5, IL-16, and MIG (CXCL9), which play inflammatory roles in either myocarditis or related cardiac complications in humans or in experimental animal models.5–8 In contrast, relative to NM or NUV, the first sample of the case patient (CIS1) showed a decrease in the levels of cytokine LIF, which provides cellular stability and ensures survival of cardiomyocytes during stress.9 The other 3 cytokines, VEGF, IL-10, and MIF, did not reveal a unidirectional regulatory pattern with comparators (NM and NUV); however, each spiked above the NUV reference group and has been individually implicated in immune vasculitis.10–12 Additional clinical laboratory assessment of IL-1β, IL-2, and IL-6 cytokines revealed normal levels of these cytokines (data not shown).Table 3. Cytokine Profile in Naive Unvaccinated, COVID-19 Unvaccinated, Naive Vaccinated, and the Case of InterestCytokineNUVCOVUVNVNMCIS1CIS2CIS3CIS4CCL271168581621634542668610803CCL11761201071507211712040bFGF4667323736323128G-CSF12733113422212215012295GM-CSF1.15.73.13.92.34.23.72.1CXCL1662671641627647669535678HGF5212687363316396372331725IFN-α211207811879IFNγ1596304817252410IL-1α1533131519191315IL-1β1.63.01.21.21.91.31.21.5IL-1ra18311832952971174†308235181IL-25.714.26.66.07.57.55.74.1IL-2Rα471895710040636243IL-30.010.720.140.090.160.080.160.01IL-40.91.70.81.01.10.91.00.9IL-50.052.729.517.31.784.5†69.2†25.6IL-60.818.93.03.32.64.45.21.8IL-7141198171474IL-88631313815109IL-9311253221190284207112284IL102118134‡171510IL-12 (P-70)2.84.84.63.03.22.81.91.9IL-12 (P-40)1213899510314711281112IL-131.92.92.01.92.62.82.42.0IL-150.0356.6248.7289.20.0453.0370.6224.2IL-163389261193607†199169132IL-17101679121179IL-1842592012058475474IP109301759378302794607521718LIF215722292*323314MCP135194578525435023MCP30.0121.451.662.163.312.201.661.66M-CSF13.469.818.023.519.829.722.018.7MIF4605348421028092702527020531223‡MIG2802955409407941†1342†918†501MIP-1α2.26.31.62.12.02.72.02.1MIP-1β22117315514122915997228β-NGF1.45.64.24.63.05.74.04.1PDGF-BB45501168842387116822589375RANTES13 77670027027478414 8315225231120 040SCF67199801254811111581SCGFβ116 351188 15084 74770 20094 735109 16395 983107 049SDF1α94453578110778437597841493TNFα10211980711058456104TNFβ0.011.05.07.71.511.59.45.3TRAIL4445424537545257VEGF44490343447149‡622549345Presented are the median pg/mL values for the groups, NUV (n=8), NV (n=10), and COVUV (n=10), average pg/mL values for NM (n=2), and individual pg/mL values for the groups CIS1–S4 (n=1 in each group). To help efficiently interpret these data, we considered only the analytes with a fold change of ≥2.0 in CIS1–S4 versus both NM and naive unvaccinated healthy control (NUV). CIS1, CIS2, CIS3, and CIS4 indicate case of interest sample at day 1, day 2, day 3, and day 4, respectively, after symptom onset; COVID-19, coronavirus disease 2019; COVUV, COVID-19 unvaccinated; n/a, not tested or not available; NM, age- and vaccine (Moderna)–matched naive (positive controls for case of interest); and NV, naive vaccinated.* ≥2.0-fold decrease (bold and italics);† ≥2.0-fold increase (bold);‡ >2.0-fold change (italics) in either direction of comparison with NM or NUV.Download figureDownload PowerPointFigure 5. Cytokine profile in the case of interest as compared with naive vaccinated, naive unvaccinated, and COVID-19–unvaccinated patients. The heatmap shows reactivity expressed in terms of row z-score for a respective antigen across different patient samples. Each row in the graphics represent a cytokine for serum specimens organized into columns classified as naive unvaccinated (NUV, 8 samples), COVID-19 unvaccinated (COVUV, 10 samples), naive vaccinated (NV, 10 samples), naive Moderna vaccinated controls (NM, 2 samples), and case of interest samples (CIS, 4 different collection days at day 1, day 2, day 3, and day 4 after symptom onset: S1, S2, S3, and S4 in the respective order). The reactivity intensity ranges from turquoise (low) to black (moderate) or yellow (high). For the groups NM and CIS, each patient sample was run in duplicates that were averaged and represented. Some of the samples that displayed values below the least detection range were arbitrarily assigned a lowest value. COVID-19 indicates coronavirus disease 2019.It should be emphasized that these cytokine analyses are exploratory and limited by the absence of baseline measurements in the case patient before vaccination. Although this empirical evidence cannot identify a specific cytokine candidate or signature, this approach represents a first step of searching for such a cytokine signature in COVID-19 vaccine–associated myocarditis and may provide important insights for subsequent studies in larger numbers of patients.AutoantibodiesImmunizations with adverse effects typically induce disproportionate autoantibody generation.13,14 Thus, we next investigated whether the COVID-19 mRNA vaccine and the associated nonviral acute myocarditis seen in the patient of interest may be a consequence of an autoimmune response, using a proteome array printed with HuProtTM version 3.1 arrays (CDI Laboratories, Mayaguez, PR) comprised of ≈19,500 unique full-length human proteins (Methods in the Data Supplement).Analyses for potentially informative autoantibodies were clustered into 3 separate subpanels representing common, COVID-specific, and CIS-specific groups for both IgM and IgG classes of circulating autoantibodies (Figure 6A and 6B). In the common subpanel, the case patient was characterized by higher levels of 2 IgM autoantibodies (CRK and UNC45B) (Figure 6A) and 6 IgG autoantibodies (IL-10, KCNK5, PARP1, VCL, AKAP5, and IFNγ) compared with the patient with active COVID-19 and NUV controls (Figure 6B), suggesting potential specific associations with myocarditis. Autoantibodies against IL-10 and IFNγ have been detected in patients with life-threatening COVID-19, and previous reports indicate a cardioprotective effect for these cytokines in humans and rodents.15–17 IgM autoantibodies against several common antigens, including TNNC1 (troponin C1) and IL-1RN, were elevated in both the case patient and the patient with COVID-19, which is expected given the presence of cardiac injury and inflammation present in both disease scenarios.Download figureDownload PowerPointFigure 6. Antibody profiles to self-antigens in the case patient relative to unvaccinated naive and COVID-19 patient samples. The heatmap shows the Phenolyzer-prioritized candidate proteins involved in cardiac disease expressed in terms of mean of the individual signal intensities from the duplicate samples that were corrected for background intensity followed by variance stabilizing normalization (VSN). Each row in the graphics represent the analytes for serum specimens organized into column
Referência(s)