Literature DB >> 34474075

A third injection of the BNT162b2 mRNA COVID-19 vaccine in kidney transplant recipients improves the humoral immune response.

Christophe Masset1, Clarisse Kerleau2, Claire Garandeau3, Simon Ville2, Diego Cantarovich3, Maryvonne Hourmant2, Delphine Kervella2, Aurélie Houzet3, Cécile Guillot-Gueguen3, Irène Guihard3, Magali Giral2, Jacques Dantal2, Gilles Blancho2.   

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Year:  2021        PMID: 34474075      PMCID: PMC8404389          DOI: 10.1016/j.kint.2021.08.017

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


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To the editor: Several reports have highlighted the poor humoral immune response of kidney transplant recipients following coronavirus disease 2019 (COVID-19) mRNA vaccination compared with immunocompetent patients.1, 2, 3 Therefore, the French National Authority for Health has recommended the use of a third vaccine dose for immunosuppressed patients, such as solid organ transplant recipients. We retrospectively assessed the humoral response of all kidney and pancreas transplant recipients vaccinated with the BNT162b2 mRNA (Pfizer BioNTech) COVID-19 vaccine between January and May 2021 in our center. Patients with previous COVID-19 infection or positive prevaccination serology were excluded. The methods for detection of the anti-spike protein responses were dependent on laboratories’ practices and included chemiluminescent microparticle immunoassay (Abbott Architect), chemiluminescence immunoassay (Siemens Atellica), and electrochemiluminescence immunoassay (Roche Elecsys). Anti-spike (IgG) responses were assessed 1 month after the second and third injection, and patients were considered positive if their anti-spike level was above the laboratory threshold. A total of 456 patients had a serologic assessment 1 month after the second injection, of whom 227 were positive, representing 49.7% of our cohort (Table 1 ). A total of 10.7% of these patients had a positive anti-spike protein 1 month after the first injection. Multivariate regression analysis (Table 2 ) revealed that there was an increased likelihood of being a nonresponder after the second mRNA injection for patients treated with antimetabolite drugs (odds ratio [OR], 5.74; 95% confidence interval [CI], 2.99–11.48; P < 0.0001) or steroids (OR, 3.68; 95% CI, 2.10–6.66; P < 0.0001), older recipients (OR, 1.03; 95% CI, 1.01–1.06; P = 0.0010), those with impaired allograft function (OR, 0.98; 95% CI, 0.96–0.99; P = 0.0011), and those with a transplant ≤4 years (OR, 2.91; 95% CI, 1.70–5.08; P = 0.0001). A total of 136 patients had a serologic assessment 1 month after the third injection (median, 30 days; quartile 1, 28 days; quartile 3, 32 days). The average time between the second and the third injection was 50 days. A total of 94 patients were positive, representing a 69.2% serologic conversion following the third mRNA injection (Figure 1 a and Table 3 ). Among patients receiving a third dose, 85 had a serologic assessment after both second and third injections, and 34 of them (40%) became seropositive between the second and the third dose. The magnitude of immune response was investigated in 71 patients who had serologic assessment using electrochemiluminescence immunoassay (Roche Elecsys) after the second and third injections (Figure 1b and c). Nearly all patients with a positive serology after the second mRNA vaccine had a high titer of anti-spike antibody (>250 UI/L). Multivariate regression analysis (Table 4 ) determined that lymphocyte count <1500/mm3 increased the likelihood of being a nonresponder after the third mRNA injection (OR, 3.84; 95% CI, 1.58–19.96; P = 0.0039), as impairment of allograft function (OR, 0.97; 95% CI, 0.94–0.99; P = 0.0232). Of note, the use of antiproliferative drugs and steroids no longer seemed to significantly impact the serologic conversion after the third mRNA vaccine injection. Male recipients were more likely to respond to the third mRNA vaccine injection in our cohort, without any clear explanation so far. Kidney transplant recipients respond poorly to COVID-19 mRNA vaccination, and although cellular responses to the vaccine seem better than humoral responses, severe COVID-19 pneumonia can occur following 2 mRNA vaccine injections. Our data support the use of a third mRNA injection to improve the humoral response to vaccination from about 50% to 70%, reducing the negative impact of antimetabolite drugs and steroids on seroconversion. Moreover, for previously seropositive patients, the third mRNA vaccine largely improved the intensity of humoral response, reaching titers suggestive of neutralizing antibody activity. Indeed, seropositive assessment (especially weak titers in immunocompromised patients) is not constantly associated with protective antibodies titers. However, severe lymphopenia and impaired graft function remained as risk factors for a nonserologic response. In this particular situation, a fourth dose, with or without immunomodulation, could be discussed to improve the humoral response of this highly immunosuppressed population. These data will need confirmation from other series.
Table 1

Characteristics associated with risk of nonhumoral response to a second dose of mRNA COVID-19 vaccine after univariate analysis (n = 456)

CharacteristicsGlobal (n = 456)
Negative (n = 229)
Positive (n = 227)
P value
NAn%NAn%NAn%
Transplantation ≤4 yr033673.7014663.8019083.7<0.0001
Male recipient027560.3013056.8014563.90.1455
Transplant rank ≥208117.804017.504118.10.9653
Transplant type (kidney vs. SPK/pancreas)042192.3021493.4020791.20.3845
Primitive kidney disease0000.5491
 Unknown398.6156.62410.6
 Glomerulonephritis14331.471317231.7
 Other2054510947.69642.3
 Vascular disease286.1135.7156.6
 Diabetes419219.2208.8
Deceased donor037682.5019685.6018079.30.1002
ABDR incompatibilities >4010222.405925.804318.90.0920
Blood type0000.4043
 O19242.110244.59039.6
 A20645.21034510345.4
 B4610.1187.92812.3
 AB122.662.662.6
Depleting induction123952.5112956.6011048.50.1009
Lymphocytes <1500/mm33622052.42012660.3169444.50.0017
Calcineurin inhibitor treatment2036984.61119187.6917881.70.1110
Belatacept treatment18112.61094.4820.90.0343
mTOR inhibitor treatment206815.611209.294822<0.0001
Antimetabolite treatment2032574.51118082.6914566.50.0002
Steroid treatment2015034.4119443.195625.70.0002
Diabetes history07917.304620.103314.50.1493
Cardiovascular history017939.30944108537.40.4890
Neoplasia history08919.505423.603515.40.0375
DSA before transplant136216.647168.88953.60.1050
DSA de novo65612.452611.613013.30.6944
Episode of rejection
0
51
11.2
0
30
13.1
0
21
9.3
0.2479

NA
Mean
SD
NA
Mean
SD
NA
Mean
SD

Recipient age, yr061.412.1062.711.1060.213.00.0289
Recipient BMI, kg/m23125.44.91625.54.81525.45.00.7514
Time from transplantation, yr010.58.508.57.6012.48.9<0.0001
Allograft function by MDRD, ml/min2448.719.41443.416.81053.920.3<0.0001
Total leukocyte count, G/L3032.1376.21857.9534.0126.72.00.1653
C0 cyclosporine, ng/ml419100.635.921899.550.3201101.129.00.9217
C0 tacrolimus, ng/ml1935.91.9836.12.01105.61.70.0239

BMI, body mass index; C0, trough level; COVID-19, coronavirus disease 2019; DSA, donor-specific antibody; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; NA, not available; SPK, simultaneous pancreas–kidney.

Values in bold are significant (P < 0.05).

Table 2

Characteristics associated with risk of nonhumoral response to a second dose of mRNA COVID-19 vaccine after multivariate analysis (n = 394)

CharacteristicsOR95% CIP value
Recipient age at vaccination, yr1.031.01–1.060.0010
Transplantation ≤4 yr2.911.70–5.080.0001
Allograft function by MDRD, ml/min0.980.96–0.990.0011
Calcineurin inhibitor treatment1.550.73–3.300.2555
mTOR inhibitor treatment0.730.33–1.620.4402
Antimetabolite treatment5.742.99–11.48<0.0001
Steroid treatment3.682.10–6.66<0.0001
Lymphocytes <1500/mm31.480.93–2.350.0961

CI, confidence interval; COVID-19, coronavirus disease 2019; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; OR, odds ratio.

Values in bold are significant (P < 0.05).

Figure 1

(a) Prevalence of anti-spike IgG seroconversion following 1, 2, and 3 mRNA injections in kidney transplant recipients. (b) Antibodies titers (electrochemiluminescence immunoassay by Roche Elecsys) 1 month after the second and third mRNA injections. (c) The evolution of antibody titers in previously positive patients who received a third mRNA injection.

Table 3

Characteristics associated with risk of nonhumoral response to a third dose of mRNA COVID-19 vaccine after univariate analysis (n = 136)

CharacteristicsGlobal (n = 136)
Negative (n = 42)
Positive (n = 94)
P value
NAn%NAn%NAn%
Transplantation ≤4 yr04633.802047.602627.70.0378
Male recipient08663.201740.506973.4<0.0001
Transplant rank ≥202014.70819.001212.80.4879
Transplant type (kidney vs. SPK/pancreas)012491.203890.508691.51.0000
Primitive kidney disease0000.6077
 Unknown107.4511.955.3
 Glomerulonephritis4432.41228.63234
 Other5439.71535.73941.5
 Vascular disease128.849.588.5
 Diabetes1611.8614.31010.6
Deceased donor011483.803788.107781.90.5142
ABDR incompatibilities >403324.301228.602122.30.5167
Blood type0000.4838
 O5238.22047.63234
 A6648.51842.94851.1
 B1410.337.11111.7
 AB42.912.433.2
Depleting induction08058.80296905154.30.1525
Lymphocytes <1500/mm36655022972.5436400.0012
Calcineurin inhibitor treatment211585.813687.817984.90.8662
mTOR inhibitor treatment22014.9124.911819.40.0569
Antimetabolite treatment210175.41327816974.20.7950
Steroid treatment24332.111843.912526.90.0811
Diabetes history02820.601126.201718.10.3950
Cardiovascular history05641.201740.503941.51.0000
Neoplasia history02921.301228.601718.10.2490
DSA before transplant3587.98411.827460.4370
DSA de novo51713261531112.10.8615
Episode of rejection
0
13
9.6
0
6
14.3
0
7
7.4
0.2207

NA
Mean
SD
NA
Mean
SD
NA
Mean
SD

Recipient age, yr063.711.7065.310.9063.011.90.2679
Recipient BMI, kg/m2325.54.7124.53.7225.95.00.0642
Time from transplantation, yr09.48.107.06.7010.48.50.0143
Allograft function by MDRD, ml/min349.119.3141.115.1252.620.00.0004
Total leukocyte count, G/L56.62.216.72.446.52.20.7306
C0 cyclosporine, ng/ml125103.025.040129.029.78597.221.50.3526
C0 tacrolimus, ng/ml556.01.8136.21.9425.91.80.5758

BMI, body mass index; C0, trough level; COVID-19, coronavirus disease 2019; DSA, donor-specific antibody; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; NA, not available; SPK, simultaneous pancreas–kidney.

Values in bold are significant (P < 0.05).

Table 4

Characteristics associated with risk of nonhumoral response to a third dose of mRNA COVID-19 vaccine after multivariate analysis (n = 129)

CharacteristicsOR95% CIP value
Male recipient0.250.10–0.610.0027
Allograft function by MDRD, ml/min0.970.94–0.990.0232
Antimetabolite treatment1.760.59–5.640.3237
Steroid treatment2.450.91–6.810.0795
Lymphocytes <1500/mm33.841.58–9.960.0039

CI, confidence interval; COVID-19, coronavirus disease 2019; MDRD, Modification of Diet in Renal Disease; OR, odds ratio.

Values in bold are significant (P < 0.05).

Characteristics associated with risk of nonhumoral response to a second dose of mRNA COVID-19 vaccine after univariate analysis (n = 456) BMI, body mass index; C0, trough level; COVID-19, coronavirus disease 2019; DSA, donor-specific antibody; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; NA, not available; SPK, simultaneous pancreas–kidney. Values in bold are significant (P < 0.05). Characteristics associated with risk of nonhumoral response to a second dose of mRNA COVID-19 vaccine after multivariate analysis (n = 394) CI, confidence interval; COVID-19, coronavirus disease 2019; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; OR, odds ratio. Values in bold are significant (P < 0.05). (a) Prevalence of anti-spike IgG seroconversion following 1, 2, and 3 mRNA injections in kidney transplant recipients. (b) Antibodies titers (electrochemiluminescence immunoassay by Roche Elecsys) 1 month after the second and third mRNA injections. (c) The evolution of antibody titers in previously positive patients who received a third mRNA injection. Characteristics associated with risk of nonhumoral response to a third dose of mRNA COVID-19 vaccine after univariate analysis (n = 136) BMI, body mass index; C0, trough level; COVID-19, coronavirus disease 2019; DSA, donor-specific antibody; MDRD, Modification of Diet in Renal Disease; mTOR, mechanistic target of rapamycin; NA, not available; SPK, simultaneous pancreas–kidney. Values in bold are significant (P < 0.05). Characteristics associated with risk of nonhumoral response to a third dose of mRNA COVID-19 vaccine after multivariate analysis (n = 129) CI, confidence interval; COVID-19, coronavirus disease 2019; MDRD, Modification of Diet in Renal Disease; OR, odds ratio. Values in bold are significant (P < 0.05).
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6.  Observations on improving COVID-19 vaccination responses in kidney transplant recipients: heterologous vaccination and immunosuppression modulation.

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9.  A fourth dose of the mRNA-1273 SARS-CoV-2 vaccine improves serum neutralization against the Delta variant in kidney transplant recipients.

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10.  Efficacy and Safety of Third Dose of the COVID-19 Vaccine among Solid Organ Transplant Recipients: A Systemic Review and Meta-Analysis.

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