| Literature DB >> 34960168 |
Lea Timmermann1, Brigitta Globke1, Georg Lurje1, Moritz Schmelzle1, Wenzel Schöning1, Robert Öllinger1, Johann Pratschke1, Bettina Eberspächer2, Christian Drosten3, Jörg Hofmann2,3, Dennis Eurich1.
Abstract
As COVID-19 remains an issue in transplantation medicine, a successful vaccination can prevent infections and life-threatening courses. The probability of poor immune response in liver transplant recipients gained attention and insecurity among those patients, leading us to investigate the humoral immune response alongside the influence of underlying diseases and immunosuppressive regimen on seroconversion rates. We included 118 patients undergoing anti-spike-protein-IgG testing at least 21 days after completed SARS-CoV-2 vaccination. Ninety-seven patients also underwent anti-spike-protein-IgA testing. The influence of baseline demographics, immunosuppressive regimen and underlying disease on seroconversion was analyzed, and 92 of 118 patients (78.0%) developed anti-spike-protein-IgG antibodies. Patients with a history of alcoholic liver disease before transplantation showed significantly lower seroconversion rates (p = 0.006). Immunosuppression also significantly influenced antibody development (p < 0.001). Patients run on a mycophenolate mofetil (MMF)-based regimen were more likely not to develop antibodies compared to patients run on a non-MMF regimen (p < 0.001). All patients weaned off immunosuppression were seropositive. The seroconversion rate of 78.0% in our cohort of liver transplant recipients is promising. The identification of alcohol-induced cirrhosis as underlying disease and MMF for immunosuppression as risk factors for seronegativity may serve to identify vaccination non-responder after liver transplantation.Entities:
Keywords: COVID-19; anti-SARS-CoV-2-antibodies; liver transplantation
Year: 2021 PMID: 34960168 PMCID: PMC8703856 DOI: 10.3390/vaccines9121422
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Figure 1Inclusion process. After exclusion of 2 asymptomatic patients with positive IgG-anti-nucleocapsid antibodies an overall of 118 patients, 97 of them tested at our outpatient clinic and 21 tested by a local practitioner, were included for further analysis.
Patients’ characteristics in the overall cohort.
| Overall Cohort (N = 118) | IgG Positive (N = 92) | IgG Negative (N = 26) | ||
|---|---|---|---|---|
| Sex N (%) | 0.109 | |||
| Male | 75 (63.6) | 55 (59.8) | 20 (76.9) | |
| Female | 43 (36.4) | 37 (40.2) | 6 (23.1) | |
| Time since transplantation (years) | 0.186 | |||
| Mean | 14.4 | 14.8 | 12.9 | |
| Minimum | 0 | 0 | 0 | |
| Maximum | 37 | 32 | 37 | |
| Age at vaccination (years) | 0.232 | |||
| Mean | 66.1 | 65.1 | 69.4 | |
| Minimum | 28.0 | 28 | 42 | |
| Maximum | 89 | 84 | 89 | |
| Transplant indication N (%) | 0.006 | |||
| Alcohol-induced | 25 (21.1) | 13 (14.1) | 12 (46.2) | |
| Viral hepatitis | 28 (23.7) | 26 (28.3) | 2 (7.7) | |
| Tumor | 26 (22) | 19 (20.7) | 7 (26.9) | |
| Autoimmune | 18 (15.3) | 15 (16.3) | 3 (11.5) | |
| Cryptogenic | 4 (3.4) | 4 (4.3) | 0 (0) | |
| Other | 17 (14.4) | 15 (16.3) | 2 (7.7) | |
| Immunosuppression N (%) | 0.000270 | |||
| Tacrolimus mono | 42 (35.6) | 40 (43.5) | 2 (7.7) | |
| MMF mono | 16 (13.6) | 10 (10.5) | 6 (23.1) | |
| Tacrolimus + MMF | 24 (20.3) | 12 (13) | 12 (46.2) | |
| Tacrolimus and Everolimus | 15 (12.7) | 12 (13) | 3 (11.5) | |
| Everolimus mono | 1 (0.8) | 1 (1.1) | 0 (0.0) | |
| Ciclosporin + MMF | 3 (2.5) | 2 (2.2) | 1 (3.8) | |
| Ciclosporin mono | 2 (1.7) | 1 (1.1) | 1 (3.8) | |
| None | 14 (11.9) | 14 (15.2) | 0 (0) | |
| Tacrolimus + Azathioprin | 1 (0.8) | 0 (0) | 1 (3.8) | |
| MMF-based regimen | 40 (33.9) | 21 (22.8) | 19 (73.1) |
|
MMF = mycophenolate mofetil.
Results from outpatient clinic.
| Overall Cohort (N = 97) | IgG Positive (N = 75) | IgG Negative (N = 22) | ||
|---|---|---|---|---|
| Sex N (%) | 0.193 | |||
| Male | 59 (60.8) | 43 (57.3) | 16 (72.2) | |
| Female | 38 (39.2) | 32 (42.7) | 6 (27.3) | |
| Time since transplantation | 0.244 | |||
| Mean | 13.5 | 14.0 | 12.0 | |
| Minimum | 0 | 0 | 0 | |
| Maximum | 32 | 32 | 30 | |
| Age at vaccination (years) | 0.425 | |||
| Mean | 65.7 | 65.0 | 68.1 | |
| Minimum | 31 | 31 | 42 | |
| Maximum | 84 | 84 | 82 | |
| Transplant indication N (%) | 0.046 | |||
| Alcohol-induced | 21 (21.6) | 11 (14.7) | 10 (45.5) | |
| Viral hepatitis | 22 (22.7) | 20 (26.7) | 2 (9.1) | |
| Tumour | 22 (22.7) | 17 (22.7) | 5 (22.7) | |
| Autoimmune | 16 (15.5) | 12 (16.0) | 3 (13.6) | |
| Cryptogenic | 3 (3.1) | 3 (4.0) | 0 (0) | |
| Other | 14 (14.4) | 12 (16.0) | 2 (9.1) | |
| Immunosuppression N (%) | 0.001 | |||
| Tacrolimus mono | 32 (33.0) | 30 (40) | 2 (9.1) | |
| MMF mono | 13 (13.4) | 9 (12.0) | 4 (18.2) | |
| Tacrolimus + MMF | 21 (21.6) | 10 (13.3) | 11 (50) | |
| Tacrolimus and Everolimus | 14 (14.4) | 12 (16.0) | 2 (9.1) | |
| Everolimus mono | 0 (0) | 0 (0) | 0 (0) | |
| Ciclosporin + MMF | 3 (3.1) | 2 (2.7) | 1 (4.5) | |
| Ciclosporin mono | 2 (2.1) | 1 (1.3) | 1 (4.5) | |
| None | 11 (11.3) | 11 (14.7) | 0 (0) | |
| Tacrolimus + Azathioprine | 1 (1) | 0 (0) | 1 (4.5) | |
| MMF-based regimen | 35 (36.1) | 19 (25.3) | 16 (72.2) | 0.000047 |
MMF = mycophenolate mofetil.
Figure 2Influence of immunosuppressive drugs on anti-spike-protein-IgG- and IgA-levels as box plots. (a,b) show the influence of the immunosuppressive regimen on anti-spike-protein-IgG and IgA-levels. MMF = mycophenolate mofetil; TAC = tacrolimus, EVL = everolimus; AZA = azathioprine. Ratio = dimensionless unit; quotient of the extinction value of the patient sample and the calibrator. Box plots present means, interquartile range (IQR), minimum and maximum with each individual bar.
Figure 3Influence of mycophenolate mofetil (MMF)-based immunosuppression on anti-spike-protein-IgG- and IgA-levels as box plots. (a,b) show the influence of mycophenolate mofetil based immunosuppression on anti-spike-protein-IgG- and IgA-levels. Ratio = dimensionless unit; quotient of the extinction value of the patient sample and the calibrator. Box plots present means, interquartile range (IQR), minimum and maximum with each individual bar. Box plots present means, interquartile range (IQR), minimum and maximum with each individual bar.
Figure 4Influence of transplant indication on anti-spike-protein-IgG- and IgA-levels as box plots. (a,b) show the significant influence of the underlying disease on anti-spike-protein-IgG- and IgA-levels. Ratio = dimensionless unit; quotient of the extinction value of the patient sample and the calibrator. Box plots present means, interquartile range (IQR), minimum and maximum with each individual bar.