| Literature DB >> 35891294 |
Selma Tobudic1, Alberto Benazzo2, Maximilian Koblischke3, Lisa Schneider1, Stephan Blüml4, Florian Winkler1,4, Hannah Schmidt1, Stefan Vorlen1, Helmuth Haslacher5, Thomas Perkmann5, Heinz Burgmann1, Peter Jaksch2, Judith H Aberle3, Stefan Winkler1.
Abstract
BACKGROUND ANDEntities:
Keywords: COVID-19; T cell response; humoral response; immunosuppressive drugs; lung transplant recipients
Year: 2022 PMID: 35891294 PMCID: PMC9318026 DOI: 10.3390/vaccines10071130
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Demographics.
| LuTRs ( | ( | |
|---|---|---|
| Age, median (IQR) | 55.5 (46.5–58.25) | 55 (44.0–64.00) |
| Sex, female | 35 (61) | 34 (60) |
| Time in years between lung organ transplantation and vaccination, median (IQR) | 7 (4–11) | NA |
| Immunosuppressive therapy including prednisone ( | 57 (100) | NA |
| Immunosuppressive therapy including tacrolimus ( | 56 (100) | NA |
| Immunosuppressive therapy including MMF/MPA | 47 (83) | NA |
| Immunosuppressive therapy including everolimus | 11 (19) | NA |
| Immunosuppressive therapy including ciclosporine | 1 (2) | NA |
| Therapy combination ( | ||
| Tacrolimus, MMF/MPA, prednisone | 39 (68) | NA |
| Everolimus, tacrolimus, MMF/MPA, prednisone | 7 (12) | NA |
| Tacrolimus, prednisone | 6 (11) | NA |
| Everolimus, tacrolimus, prednisone | 3 (5) | NA |
| Everolimus, tacrolimus | 1 (2) | NA |
| Ciclosporine, MMF/MPA/prednisone | 1 (2) | NA |
| Therapy number | NA | |
| 2 Agents | 7 (12) | NA |
| 3 Agents | 43 (75) | NA |
| 4 Agents | 7 (12) | NA |
| Drug levels (median, IQR): | ||
| Ciclosporine ( | 120 | NA |
| Everolimus ( | 3.4 (2.7–3.6) | NA |
| Tacrolimus ( | 5.6 (4.3–6.8) | NA |
| Dose prednisone (median, IQR, | 5 (5–5) | NA |
| Vaccine | 57 (100) | 57 (100) |
| mRNA-1273 | 2 (4) | 0 (0) |
| BNT162b2 | 55 (96) | 57 (100) |
| Vaccine | 24 (42) | 53 (93) |
| mRNA-1273 | 2 (8) | 2 (4) |
| BNT162b2 | 19 (80) | 51 (96) |
| ChAdOx1 nCoV-19 | 2 (8) | 0 (0) |
| Ad26.COV2.S | 1 (4) | 0 (0) |
Mycophenolate mofetil/mycophenolic acid (MMF/MPA); Not Applicable (NA).
Figure 1Humoral response after mRNA vaccine in LuTRs and in HCs after the first and second immunization: seroconversion rates of SARS-CoV-2 antibodies and increase in seroconversion rate (% of response) (A). SARS-CoV-2 S antibody levels (BAU/mL). Upper level of quantification: 2500 BAU/mL. The horizontal line indicates the cutoff for seroconversion. Circles represent individual antibody levels. Participants with a history of COVID-19, prior to immunization, are represented as triangles (B). (*** significant).
Figure 2Change in SARS-CoV-2 S antibody levels (BAU/mL) over time in HCs (A) and LuTRs (B). Upper level of quantification: 2500 BAU/mL. The horizontal line indicates the cutoff for seroconversion. Circles represent individual antibody levels. Participants with a history of COVID-19, prior to immunization, are presented as triangles. Darker lines indicate overlapping points. (**, *** significant).
Figure 3Humoral response in LuTRs and in HCs 4 weeks after the second and the third dose of vaccination: SARS-CoV-2 S antibody levels (BAU/mL) (A), and change in SARS-CoV-2 S antibody levels (BAU/mL) after second and third immunization (B). The horizontal lines indicate the cutoff for seroconversion. Circles represent individual antibody titers. Participants with a history of COVID-19, prior to immunization, are presented as triangles. Darker lines indicate overlapping points. (*** significant).
Figure 4Logistic regression assessing seroconversion in LuTRs: univariate logistic regression including age, sex, years since lung transplantation, diagnosis, immunosuppressive therapy (A). Multivariate logistic regression for years since lung transplantation, diagnosis, and immunosuppressive therapy, adjusted for age and sex (B). (* significant).
Univariate and multivariate logistic regression.
| Univariate Logistic Regression | Multivariate Logistic Regression § | |||
|---|---|---|---|---|
| OR (CI 95%) | OR (CI 95%) | |||
| Age, ten years | 0.69 (0.43–1.04) | 0.088 | — | — |
| Sex, male | 0.6 (0.2–1.74) | 0.345 | — | — |
| Years since transplant | 1 (0.92–1.1) | 0.985 | 1.01 (0.92–1.12) | 0.793 |
| Diagnosis, CF | 2.05 (0.5–10.43) | 0.337 | 0.81 (0.13–5.38) | 0.820 |
| Diagnosis, COPD | 0.69 (0.24–1.98) | 0.495 | 1.49 (0.4–6.03) | 0.563 |
| Therapy, everolimus | 1.47 (0.39–6.26) | 0.578 | 1.28 (0.32–5.69) | 0.729 |
| Therapy, MMF/MPA | 0.11 (0.01–0.63) | 0.041 | 0.12 (0.01–0.78) | 0.059 |
§ Logistic regression models for diagnosis of CF (cystic fibrosis), diagnosis of COPD (chronic obstructive pulmonary disease), therapy with everolimus, and therapy with MMF/MPA (mycophenolate mofetil/mycophenolic acid), each adjusted for age and sex.
Figure 5T cell responses to SARS-CoV-2 mRNA vaccination. T cell response rates and magnitudes in LuTRs and HCs: Bars indicate proportion of patients with a T cell response against SARS-CoV-2 peptide pools at 2–4 weeks after second vaccination dose (A). Circles represent individual T cell responses; y axis indicates the number of spot-forming cells (SFCs) per 106 PBMCs. Dashed lines indicates mean SFCs per 106 PBMCs + 3 times the standard deviation for spike peptide pool reactivity calculated from pre-pandemic controls (B). Scatterplot of humoral and cellular immune responses in LuTRs. The x axis represents Elecsys® Anti-SARS-CoV-2 IgG titers (BAU/mL), with the vertical dashed line indicating the cutoff for seroconversion. The y axis represents SCFs per 106 PBMCs, with the horizontal dashed line indicating mean SFCs per 106 PBMCs + 3 times the standard deviation for spike peptide pool reactivity calculated from pre-pandemic controls (C).