| Literature DB >> 36112333 |
Miklós Fagyas1,2,3,4, Béla Nagy5, Péter Bai4,6,7,8, Attila Bácsi9,10, Attila Tóth11,12,13, Arnold Péter Ráduly1,2,14, Ivetta Siket Mányiné1, Lilla Mártha1, Gábor Erdősi1, Sándor Sipka2, Enikő Enyedi1,14, Attila Ádám Szabó1,14, Zsófia Pólik1, János Kappelmayer5, Zoltán Papp1,3,4, Attila Borbély2, Tamás Szabó15, József Balla3,16, György Balla3,15.
Abstract
Severe cases of COVID-19 are characterized by an inflammatory burst, which is accompanied by multiorgan failure. The elderly population has higher risk for severe or fatal outcome for COVID-19. Inflammatory mediators facilitate the immune system to combat viral infection by producing antibodies against viral antigens. Several studies reported that the pro-inflammatory state and tissue damage in COVID-19 also promotes autoimmunity by autoantibody generation. We hypothesized that a subset of these autoantibodies targets cardiac antigens. Here we aimed to detect anti-cardiac autoantibodies in severe COVID-19 patients during hospitalization. For this purpose, 104 COVID-19 patients were recruited, while 40 heart failure patients with dilated cardiomyopathy and 20 patients with severe aortic stenosis served as controls. Patients were tested for anti-cardiac autoantibodies, using human heart homogenate as a bait. Follow-up samples were available in 29 COVID-19 patients. Anti-cardiac autoantibodies were detected in 68% (71 out of 104) of severe COVID-19 patients. Overall, 39% of COVID-19 patients had anti-cardiac IgG autoantibodies, while 51% had anti-cardiac autoantibodies of IgM isotype. Both IgG and IgM anti-cardiac autoantibodies were observed in 22% of cases, and multiple cardiac antigens were targeted in 38% of COVID-19 patients. These anti-cardiac autoantibodies targeted a diverse set of myocardial proteins, without apparent selectivity. As controls, heart failure patients (with dilated cardiomyopathy) had similar occurrence of IgG (45%, p = 0.57) autoantibodies, while significantly lower occurrence of IgM autoantibodies (30%, p = 0.03). Patients with advanced aortic stenosis had significantly lower number of both IgG (11%, p = 0.03) and IgM (10%, p < 0.01) type anti-cardiac autoantibodies than that in COVID-19 patients. Furthermore, we detected changes in the anti-cardiac autoantibody profile in 7 COVID-19 patients during hospital treatment. Surprisingly, the presence of these anti-cardiac autoantibodies did not affect the clinical outcome and the prevalence of the autoantibodies did not differ between the elderly (over 65 years) and the patients younger than 65 years of age. Our results demonstrate that the majority of hospitalized COVID-19 patients produce novel anti-cardiac IgM autoantibodies. COVID-19 also reactivates resident IgG autoantibodies. These autoantibodies may promote autoimmune reactions, which can complicate post-COVID recuperation, contributing to post-acute sequelae of COVID-19 (long COVID).Entities:
Keywords: Anti-cardiac autoantibodies; COVID-19; SARS-CoV-2
Year: 2022 PMID: 36112333 PMCID: PMC9483490 DOI: 10.1007/s11357-022-00649-6
Source DB: PubMed Journal: Geroscience ISSN: 2509-2723 Impact factor: 7.581
Clinical characteristics of patients enrolled into the study
| Clinical parameter | Patients with COVID-19 | Patients with dilated cardiomyopathy (end-stage heart failure) | Patients with advanced aortic stenosis |
|---|---|---|---|
| Number of patients | 104 | 40 | 20 |
| Age (median (IQR)), | 65 (52.25–72), 104 | 55 (46–61), 40 | 80 (78–83) |
| Male/female | 6737 | 355 | 119 |
| IL-6 (ng/L, median (IQR)), | 82 (26–185), 104 | N/A | N/A |
| CRP (mg/L, median (IQR)), | 157 (62–240), 104 | N/A | N/A |
| Ferritin (median (IQR)), | 952 (557–1603), 97 | N/A | N/A |
| GFR (ml/min/1.73 m2, median (IQR)), | 63 (42–83), 104 | N/A | N/A |
| Hemoglobin (g/L, median (IQR)), | 134 (120–147), 104 | 134 (115.5–144), 40 | N/A |
| White blood cell count (giga/L, median (IQR)), | 8.91 (6.663–11.80), 104 | 8.46 (6.515–10.24), 40 | N/A |
| NT-proBNP (ng/L, median (IQR)), | N/A | 2848 (708–5382), 40 | 2776 (688–11,437), 8 |
| Diabetes mellitus, | 36, 35 | 11, 28 | 4, 20 |
| Hypertension, | 78, 75 | 23, 58 | 15, 75 |
| COPD, | 14, 13 | 8, 20 | 5, 25 |
| Atrial fibrillation, | 24, 23 | 20, 50 | 11, 55 |
| Renal insufficiency, | 23, 22 | 7, 18 | 13, 65 |
| Hypothyreosis, | 6, 6 | 1, 3 | 0, 0 |
| Left ventricular end-diastolic diameter (mm, median (IQR)), | N/A | 68.5 (65–78.5), 40 | 58 (49.5–64.5), 17 |
| Left ventricular end-systolic diameter (mm, median (IQR)), | N/A | 58.5 (51.5–65), 40 | 40 (34.5–48.5), 17 |
| Ejection fraction (%, median (IQR)), | N/A | 26.5 (20–33), 40 | 47.5 (30.75–55.5), 20 |
| Body mass index (kg/m2, median (IQR)), | N/A | 29.35 (27.45–33.16) 40 | 25.15 (22.49–30.06), 14 |
| Aortic root area (cm2, median (IQR)), | N/A | N/A | 0.5 (0.4–0.5), 15 |
| Maximal aortic flow velocity (m/s, median (IQR)), | N/A | N/A | 78 (54–99), 19 |
Fig. 1Detection of anti-cardiac autoantibodies in the sera of COVID-19 patients. Human heart homogenate was separated by SDS-PAGE (10% discontinuous gels, 80 µg proteinwell). A pre-stained standard was used to estimate molecular sizes (MW standard, panels A and B). Membranes were cut to strips after blocking and incubated separately with human serum samples (indicated in panel A) at a dilution of 1:1000. Strips were then fitted together and bound human IgG and IgM (shown in panel A) was detected by peroxidase labelled secondary antibodies. Densitometry was performed on the recorded images by ImageJ software, to yield density plots (shown in panels B–E by dashed (control serum) or continuous (COVID-19 patients’ sera) lines). Pre-stained standard proteins were used to construct a calibration curve (panel B lower graph), and molecular size of autoantigens was interpolated according to this calibration curve by GraphPad Prism software. Bands not apparent on the strip incubated by control serum were considered to represent anti-cardiac autoantibody binding to cardiac antigens and are indicated in panels C–E
Fig. 2Anti-cardiac autoantibodies in COVID-19 and heart failure patients. Patients were tested for IgG (panels A, C, and E) and IgM (panels B, D, and F) autoantibodies recognizing cardiac proteins by a Western blot-based method. Bars show the number of patients with (black) or without (grey) anti-cardiac autoantibodies. Statistical differences in the occurrence of autoantibodies were tested by Fisher’s exact test and significant differences are indicated (p values are also shown). Patient populations included patients with COVID-19 (all panels), patients with endheart failure with dilated cardiomyopathy (panels A and B), and patients with advanced aortic stenosis (panels C and D). Potential gender effects in COVID-19 patients were also tested (panels E and F)
Fig. 7No correlation between aging and anti-cardiac autoantibody production. Patients were stratified as a function of age, generating a younger (age < 65) and an older cohort (age 65 +). In these cohorts, A the proportion of the convalescent and fatal outcomes; B the relative frequency of autoantibody production; C serum cTnT levels are shown; D troponin T levels in autoantibody negative, IgM positive, IgG positive, and IgG + IgM positive patients in the two age groups are also plotted
Fig. 3Distribution of cardiac autoantigens. Human cardiac proteins recognized by autoantibodies in the patients’ serum were evaluated here according to their apparent molecular weight. Panel A shows all recognized autoantigens. Each symbol represents a band recognized by IgG or IgM type autoantibodies. Bars are median, and error bars represent IQR. Statistical difference is indicated (determined by Mann–Whitney test). Distribution of autoantigens is shown as detected by IgG (panel B) and IgM (panel C) autoantibodies
Fig. 4Anti-cardiac autoantibodies do not contribute to acute mortality in COVID-19. Ratios of patients with both IgG and IgM (red), with IgM (magenta), with IgG (orange), and without autoantibodies (empty) are shown on bar graphs in panel A. The two bars represent the convalescent and deceased patient populations. Odds ratios were calculated (Fisher’s exact test) for survival of patients according to their autoantibody profile (panel B). The potential predictive value of the number of cardiac antigens recognized by autoantibodies in the patients’ sera (panel C) and the sequential organ failure (SOFA) score (panel D) was tested by ROC analysis. The results of the analyses are shown above the graphs
Fig. 5Sequence of resident IgG reactivation in severe COVID-19. In 7 out of 29 cases, we detected changes in the anti-cardiac autoantibody profile during in-hospital treatment of severe COVID-19 patients. Identifiers of the serum samples (8 digit numbers) are shown above the blots. Below the identifiers, the days after the first blood sampling (in-hospital treatment) are shown. Note, samples were ordered on the gels according to identifier number, which was not chronological in some cases. Differences in anti-cardiac autoantibody profiles are indicated by arrows superposed on the immunoblots. Controls represented healthy individuals, without SARS-CoV-2 infection
Fig. 6Tissue damage in COVID-19 patients. Clinical parameters of tissue damage were plotted in COVID-19 patients. Cardiac damage was assessed by cardiac troponin T (cTnT) levels in the sera (panels A and B). Tissue damage was estimated by circulating lactate dehydrogenase (LDH) levels (panels B and C). Differences among the groups of patients were tested by Kruskal–Wallis test (when multiple groups were compared) or by Mann–Whitney test (pairwise comparisons). Correlation between cTnT and LDH levels was tested by Spearman’s test. Significant differences are indicated with p values on the graphs
Fig. 8No correlation between gender and anti-cardiac autoantibody production. Patients were stratified as a function of gender. In these cohorts, A the proportion of the convalescent and fatal outcomes; B the relative frequency of autoantibody production; C serum cTnT levels are shown; D troponin T levels in autoantibody negative, IgM positive, IgG positive, and IgG + IgM positive patients in the two age groups are also plotted