| Literature DB >> 36189313 |
Chien-Chia Chen1, Yi-Jen Huang2, Mei-Jun Lai3, Min-Huey Lin4, Wei-Chou Lin5, Hui-Ying Lin4, Yu-Chun Lin1, Yu-Tsung Huang3, Ya-Fen Lee3, Meng-Kun Tsai1,6, Chih-Yuan Lee1.
Abstract
After kidney transplantation, patients exhibit a poor response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination. However, the efficacy and adverse effects of vaccines based on different platforms in these patients remain unclear. We prospectively analyzed both anti-spike protein antibody and cellular responses 1 month after the first and second doses of SARS-CoV-2 vaccines in 171 kidney transplant patients. Four vaccines, including one viral vector (ChAdOx1 nCov-19, n = 30), two mRNA (mRNA1273, n = 81 and BNT162b2, n = 38), and one protein subunit (MVC-COV1901, n = 22) vaccines were administered. Among the four vaccines, mRNA1273 elicited the strongest humoral response and induced the highest interferon-γ levels in patients with a positive cellular response against the spike protein. Antiproliferative agents were negatively associated with both the antibody and cellular responses. A transient elevation in creatinine levels was noted in approximately half of the patients after the first dose of mRNA1273 or ChadOx1, and only one of them presented with borderline cellular rejection without definite causality to vaccination. In conclusion, mRNA1273 had better immunogenicity than the other vaccines. Further, renal function needs to be carefully monitored after vaccination, and vaccination strategies should be tailored according to the transplant status and vaccine characteristics.Entities:
Keywords: SARS-CoV-2; immunogenicity; kidney transplant; platform; vaccines
Mesh:
Substances:
Year: 2022 PMID: 36189313 PMCID: PMC9523367 DOI: 10.3389/fimmu.2022.951576
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Baseline characteristics among patients administered the four vaccines.
| ChAdOx1 (n=30) | mRNA1273 (n=81) | BNT162b2 (n=38) | MVC-COV1901 (n=22) |
| |
|---|---|---|---|---|---|
| Age (years) | 49.09 ± 11.94 | 60.29 ± 8.70 | 48.87 ± 11.98 | 46.97 ± 11.64 | <0.0001 |
| Male, n (%) | 15 (50.00) | 32 (39.51) | 17 (44.74) | 7 (31.82) | 0.5644 |
| Time since transplant (years) | 6.23 ± 5.19 | 10.84 ± 8.21 | 8.32 ± 6.94 | 8.72 ± 7.09 | 0.0252 |
| Creatinine (mg/dL) | 1.23 ± 0.38 | 1.24 ± 0.58 | 1.17 ± 0.31 | 1.44 ± 0.45 | 0.8346 |
| Maintenance IS, n (%) | 0.8071 | ||||
| Calcineurin inhibitor | 30 (100) | 71 (87.65) | 38 (100) | 20 (90.91) | |
| Tacrolimus | 28 (93.33) | 60 (74.07) | 37 (97.37) | 18 (86.36) | |
| Level (ng/mL) | 5.90 ± 2.07 | 4.71 ± 1.65 | 5.09 ± 1.37 | 4.64 ± 1.32 | |
| Cyclosporine | 2 (6.67) | 11 (13.58) | 1 (2.70) | 2 (9.09) | |
| Level (ng/mL) | 47.90 ± 46.53 | 61.35 ± 21.72 | 84.10 | 86.30 ± 100.83 | |
| mTOR inhibitor | 14 (46.67) | 48 (59.26) | 13 (34.21) | 10 (45.45) | |
| Sirolimus | 14 (46.67) | 47 (58.02) | 13 (34.21) | 10 (45.45) | |
| Level (ng/mL) | 1.45 ± 0.93 | 1.80 ± 1.75 | 1.18 ± 0.47 | 2.42 ± 2.68 | |
| Everolimus | 0 | 1 (1.23) | 0 (0) | 0 (0) | – |
| Level (ng/mL) | – | 3.1 | – | – | – |
| MMF | 26 (86.67) | 59 (72.83) | 34 (89.47) | 19 (86.36) | |
| Dose (g/day) | 1.03 ± 0.35 | 1.01 ± 0.36 | 0.92 ± 0.35 | 1.05 ± 0.43 | |
| Prednisolone | 27 (90) | 61 (75.31) | 32 (84.21) | 17 (77.27) | |
| Dose (mg/day) | 3.92 ± 2.01 | 4.34 ± 2.17 | 3.95 ± 1.52 | 3.52 ± 2.40 |
IS, immunosuppressant; MMF, mycophenolate mofetil.
Figure 1Immune response after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination. (A) Response rate of antibody. (B) Anti-spike protein antibody (anti-S) level for positive patients; *P=0.0099, **P=0.0178, ***P=0.0025. (C) Cellular response rate. (D) Interferon-γ (IFN-γ) level for positive patients, *P=0.0115, **P=0.0414, ***P=0.0180. (E) Correlation between anti-S and IFN-γ levels.
Figure 2Effect of immunosuppressants on the immune response after vaccination. (A) Correlation between anti-spike protein antibody (anti-S) level and mycophenolate mofetil (MMF) dose. (B) Correlation between interferon-γ (IFN-γ) level and MMF dose. (C) Correlation between anti-S level and tacrolimus dose. (D) Correlation between IFN-γ level and tacrolimus dose.
Figure 3Change in serum creatinine level after vaccination. (A) Comparison of creatinine level after the first and second doses of the four vaccines, # P=0.0606, *P=0.0471. (B) Correlation between creatinine change and anti-spike protein antibody (anti-S) level. (C) Correlation between creatinine change and spike protein specific interferon-γ (IFN-γ) level. (D) Correlation between creatinine change and interferon-γ (IFN-γ) level after nonspecific stimulation.
Figure 4Presentation of a patient with borderline rejection after vaccination. (A) Serum creatinine level before and after vaccination. (B) H&E staining: mild tubulitis and some inflammatory cell infiltration in the interstitium with mild peritubular capillaritis. (C) C4d immunostaining: C4d deposition in 5–9% of peritubular capillaries.