| Literature DB >> 35214787 |
Caroline Pabst1, Louise Benning2, Nora Liebers1, Maike Janssen1, Leandra Caille1, Claudius Speer2, Lixiazi He1, Maria-Luisa Schubert1, Laura Simons1, Ute Hegenbart1, Stefan Schönland1, Aleksandar Radujkovic1, Michael Schmitt1, Paul Schnitzler3, Carsten Müller-Tidow1, Sascha Dietrich1, Peter Dreger1, Thomas Luft1.
Abstract
The COVID-19 pandemic threatens patients with a compromised immune and endothelial system, including patients who underwent allogeneic stem cell transplantation (alloSCT). Thus, there is an unmet need for optimizing vaccination management in this high-risk cohort. Here, we monitored antibodies against SARS-CoV-2 spike protein (anti-S1) in 167 vaccinated alloSCT patients. Humoral immune responses were detectable in 81% of patients after two vaccinations with either mRNA-, vector-based, or heterologous regimens. Age, B-cell counts, time interval from vaccination, and the type of vaccine determined antibody titres in patients without systemic immunosuppression (sIS). Similar to a healthy control cohort, mRNA vaccine-based regimens induced higher titres than vector-based vaccines. Patients on two or more immunosuppressants rarely developed immunity. In contrast, 62% and 45% of patients without or on only one immunosuppressant, respectively, showed a strong humoral vaccination response (titre > 100). Exacerbation of cGVHD upon vaccination was observed in 6% of all patients and in 22% of patients receiving immunosuppression for cGVHD. cGVHD exacerbation and low antibody titres were both associated with higher angiopoietin-2 (ANG2) serum levels. In conclusion, mRNA-based vaccines elicit strong humoral responses in alloSCT patients in the absence of double sIS. Biomarkers such as ANG2 might help with weighing cGVHD risk versus beneficial responses.Entities:
Keywords: COVID-19; allogeneic stem cell transplantation; cGVHD; humoral responses; immunosuppression
Year: 2022 PMID: 35214787 PMCID: PMC8876761 DOI: 10.3390/vaccines10020330
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Humoral responses after COVID-19 vaccination in 167 post alloSCT patients. (a) Pie charts visualizing the distribution of disease types (above), vaccine types (middle), and number of IS agents employed (below) in the total cohort of 167 patients post alloSCT. Patients on IS (n = 41) were grouped according to the number of systemic drugs applied and comprised cyclosporine A serum level > 50 µg/L, tacrolimus or sirolimus serum level > 3 µg/L, any dose of corticosteroid, mycophenolate mofetil (MMF), or ruxolitinib. Topical treatment and extracorporeal photopheresis were not considered; (b) Bar graph displaying the fraction of patients achieving seroconversion defined as anti-S1 IgG index ≥ 1 after the first (n = 44) or second (n = 167) vaccination. v1: first vaccination, v2: second vaccination. (c) Percent inhibition determined by a surrogate virus neutralization test to estimate the amount of neutralizing antibodies in sera of patients with anti-S1 IgG ≥ 1. Patients were grouped according to anti-S1 IgG response. In this cohort, all patients with an anti-S1 IgG > 20 reached the cutoff of 30% inhibition (see methods for details). Numbers on the top indicate the numbers of patients in each group. Median percent inhibition is indicated in the second row; (d) Box plot showing log-transformed anti-S1 IgG titres according to the number of immunosuppressive drugs employed. Horizontal lines and corresponding numbers indicate the median. Dots represent individual patient samples. Maint. Therapy: maintenance therapy; (e) Fraction of patients with index ≥ 20 (left panel) and ≥ 100 (right panel) according to the number of sIS drugs employed. Numbers in bars indicate the numbers of patients in each group. Pairwise Fisher’s exact tests, BH-adjusted, * p < 0.05, ** p < 0.005, *** p < 0.0005, n.s. not significant; (f) Box plot showing log-transformed anti-S1 IgG index values in patients off IS (above) or in healthy controls. Horizontal lines and numbers indicate the median, points indicate outliers (Tukey method); (g) Fraction of patients with index ≥ 20 (above) and ≥ 100 (below) according to the vaccination regimen employed. Left three bars show patients off IS, while the right three bars show healthy controls. AZ/AZ: homologous vaccination with AZ, AZ/mRNA: heterologous regimen with AZ followed by either BP or M, mRNA/mRNA: homologous vaccination with either BP or M as first and second vaccine. See Table A1 for further details. Numbers in bars indicate the numbers of patients in each group. Pairwise Fisher’s exact tests, BH-adjusted, * p < 0.05, ** p < 0.005, *** p < 0.0005, n.s. not significant; (h) Logistic regression identifies age, number of IS drugs, B cell counts, type of vaccine, and interval from vaccination as independent factors associated with humoral response post COVID-19 vaccination in the total cohort of 167 patients post alloSCT. OR: odds ratio, * p < 0.05.
Patient characteristics.
| Values | Median | Percentage (%) | |
|---|---|---|---|
|
| 167 | ||
| disease type | |||
| AML | 65 | 38.9 | |
| MDS | 10 | 6.0 | |
| MPN | 25 | 15.0 | |
| Aplastic Anemia | 4 | 2.4 | |
| ALL, aggressive lymphoma | 20 | 12.0 | |
| indolent lymphoma | 20 | 12.0 | |
| Multiple Myeloma | 23 | 13.8 | |
| age | 19–79 | 60 | |
| age above 60 years | 80 | 47.9 | |
| sex | |||
| female | 65 | 38.9 | |
| male | 102 | 61.1 | |
| Days last alloSCT to 1st vaccination | |||
| 106–9111 | 1215 | ||
| Remission status | |||
| complete remission | 158 | 94.6 | |
| Immunosuppression (IS) | |||
| no IS | 107 | 64.1 | |
| one systemic IS drug | 22 | 13.2 | |
| 2 systemic IS drugs | 14 | 8.4 | |
| 3 or more systemic IS drugs | 5 | 3.0 | |
| total IS | 41 | 24.6 | |
| maintenance therapy | 19 | 11.4 | |
| Seroconversion | |||
| positive S-AK after V1 | 19/44 | 43.2 | |
| positive S-AK after V2 | 135/167 | 80.8 | |
| positive N-AK after V2 | 0 | 0.0 | |
| vaccines | |||
| AZ/AZ | 15 | 9.0 | |
| AZ/Moderna | 1 | 0.6 | |
| AZ/Biontech | 11 | 6.6 | |
| Biontech/Biontech | 133 | 79.6 | |
| Moderna/Biontech | 1 | 0.6 | |
| Moderna/Moderna | 6 | 3.6 | |
| type of regimen | |||
| homologous AZ/AZ | 15 | 9.0 | |
| heterolohous AZ/mRNA | 12 | 7.2 | |
| homologous mRNA/mRNA | 140 | 83.8 |
V1: vaccination 1, V2: vaccinaton 2, AZ Astra Zeneca.
Figure A1Factors impacting vaccination response in alloSCT patients undergoing COVID-19 vaccination. (a) Age (years) of patients off IS versus healthy controls. Lines indicate medians. Mann Whitney U test; (b) Logistic regression identifies independent factors associated with humoral responses post COVID-19 vaccination in the total cohort (index > 100, top), and in the subgroup of patients off IS (n = 107, index > 20, middle, index > 100, bottom). v1: first vaccination, v2: second vaccination, continuous variables were log10-transformed, OR odds ratio.
Figure A2Factors associated with vaccination response and adverse events in alloSCT patients following COVID-19 vaccination. (a) Box plots showing CD4 and B cell counts (log cells/µL) in patients with cGVHD exacerbation according to positive or negative IgG test (anti-S1 IgG > 1). Mean (dashed line) and median (horizontal line), points represent individual samples, numbers on the top indicate sample size per group, unpaired t-test; (b) Log10-transformed ANG2 levels (pg/mL) in patients on IS treatment suffering exacerbation of cGVHD (left panel, petrol) versus all others (violet) or in patients with one or more immunosuppressive drugs (right panel). Unpaired t-test. Dashed line: mean, horizontal line: median; (c) Log10-transformed ANG2 levels (pg/mL) according to sIS treatment. Note that patients on two or more sIS drugs have significantly higher ANG2 levels and were therefore excluded from the subsequent logistic regression analysis; (d) Logistic regression analysis reveals high ANG2 as an independent factor associated with an index > 20 in the subgroup of patients with less than two sIS drugs, no B cell depleting therapy and no cGVHD exacerbation, as these conditions might influence ANG2 serum levels.* p < 0.05.
Figure 2Adverse events and biomarkers in alloSCT patients undergoing COVID-19 vaccination. (a) Bar graph indicating the anti-S1 IgG level of 10 patients suffering exacerbation of cGVHD post vaccination and 2 patients with herpes zoster post vaccination. Exacerbation of cGVHD was defined as the need for IS treatment escalation or re-start of IS treatment in patients off IS at the time of the first vaccination. Letters on top indicate patients’ gender showing no enrichment of either gender; organs below bars indicate the organs affected by cGVHD; (b) Boxplot indicating the mean (dashed line) and median (horizontal line) log days between vaccination and onset of symptoms in patients with index > 20. Unpaired t-test, p = 0.02; (c) Log-transformed cytokine levels (pg/mL) of four cytokines indicated on the top of each plot in patients suffering exacerbation or aggravation of cGVHD (petrol) versus all others (violet). Unpaired t-test. Dashed line: mean, horizontal line: median; (d) logistic regression identifies ANG2 levels as the only one of the four cytokines significantly associated with an index > 20. Patients with exacerbation of cGVHD were excluded from this analysis. OR: odds ratio; (e) Fraction of patients with an index > 20 (left) or > 100 (right) when ANG2 levels were below or above 400 pg/mL. Fisher’s exact test; (f) Logistic regression identifies ANG2 as an independent factor associated with an index > 20 in the total cohort excluding patients suffering cGVHD exacerbation. v2: second vaccination, * p < 0.05; (g) Left: fraction of patients with index > 20 with high versus low ANG2 levels. Middle and right panel: there was no significant difference in the fraction of patients with one sIS drug or age > 60 years in the two ANG2 groups. Fisher´s exact test; (h) Pearson correlation between ANG2 levels before the first and after the second vaccination. Values (pg/mL) were log-transformed; (i) Log-transformed ANG2 levels in patients before first vaccination who achieved titres > 100 after the second vaccination. Dashed line and line indicate means and medians. Points represent individual patient samples. Numbers on top indicate numbers of patients in each group.