Abstract
Patients with chronic kidney disease (CKD) are at higher risk for coronavirus
disease 2019 (COVID-19)-related morbidity and mortality. However, a significant
portion of CKD patients showed hesitation toward vaccination in telephone survey of
our center. Yet no serial data available on humoral response in patients with CKD,
especially those on immunosuppression. We conducted a pilot, prospective study to
survey the safety and humoral response to inactivated SARS-CoV-2 vaccine in CKD
patients receiving a 2-dose immunization of inactivated SARS-CoV-2 vaccine. We
found the neutralizing antibody titers in CKD patients was significantly lower than
that in healthy controls, hypertension patients, and diabetes patients. Notably,
immunosuppressive medication rather than eGFR levels or disease types showed
effect on the reduction of immunogenicity. Interestingly, a third dose significantly
boosted neutralizing antibody in CKD patients while immunosuppressants impeded
the boosting effects. In conclude, our data demonstrates that CKD patients, even for
those on immunosuppression treatment, can benefit from a third vaccination boost by
improving their humoral immunity.
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Patients with chronic kidney disease (CKD) are at higher risk for coronavirus
disease 2019 (COVID-19)-related morbidity and mortality than general populations
and, early vaccination should be prioritized for this vulnerable population. However,
concerning safety and efficacy, a significant portion of CKD patients (1720/2509,
68.6%) showed hesitation toward vaccination in telephone survey of our center (Fig
S1). Previous studies focused on exploring immune responses to COVID-19 vaccine
in patients on dialysis or receiving kidney transplant.1,2 Yet no serial data available on
humoral response in patients with CKD, especially those on immunosuppression.3,4
We conducted a pilot, prospective study to survey the safety and humoral
response to inactivated SARS-CoV-2 vaccine in CKD patients receiving a 2-dose
immunization of inactivated SARS-CoV-2 vaccine (Item S1 and Fig S2). Baseline
characteristics of the participants are described in Table 1. Briefly, the average age of
CKD patients are 42.4 years with 20 (44%) females. 21 of them received SinoV ac,20
received Sinopharm and 4 received both sequentially. The most common form of
CKD was chronic glomerulonephritis (27/45, 60.0%) followed by podocytopathy
(5/45, 11.1%) and metabolic kidney disease (5/45, 11.1%). There were 18 patients
taking immunosuppressants during the vaccination period with 17 (94.4%) receiving
monotherapy. We tightly controlled age, female ratio, types of administered vaccines
and sampling time across groups, except that the average age of diabetes patients is
significantly older than CKD patients. None of these participants reported severe
adverse effects after vaccination.
Using neutralizing antibody titer of 2 as seroconversion cutoff, we found 84%
(38 of 45) of CKD patients seropositive, which was lower than that in healthy controls
(98%), hypertension patients (98%) and diabetes patients (95%). The median
neutralizing antibody titers in CKD patients was 6.29 (IQR, 2.78-14.62), which was
significantly lower than that in healthy controls [8.91 (IQR, 6.14-16.01), P =
5.15×10-3], hypertension patients [8.66 (IQR, 5.24-15.68), P = 0.02], and diabetes
patients [9.14 (IQR, 4.62-16.22), P = 0.04] (Fig 1A). Conversely, we did not observe
SARS-CoV-2-specific IgG or IgM differences between CKD patients and controls
(Fig 1 B-C), despite of strong association between neutralizing antibody and
SARS-CoV-2-specific IgG levels (Fig S3). To better understand the immunogenicity
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of inactivated SARS-CoV-2 vaccine in CKD patients, we further stratified CKD
patients into subgroups according to their disease diagnosis, eGFR levels and
medication status (receiving immunosuppressants or not). Notably,
immunosuppressive medication (Fig 1D) rather than eGFR levels (Fig 1E) or disease
types (Fig S4) showed effect on the reduction of immunogenicity. There were only
72.2% (13/18) of CKD patients receiving immunosuppressants tested seropositive
after 2-dose vaccination. Moreover, we observed an immunosuppressant--dependent
association between neutralizing antibody level and eGFR after adjusting for age and
gender (r = 0.627, P = 0.02), suggesting that immunosuppressive agents could
sensitize neutralizing antibody response to kidney function in non-dialysis kidney
patients. Interestingly, a third dose significantly boosted neutralizing antibody in CKD
patients while immunosuppressants impeded the boosting effects (Table S1 and Fig
S5).
Our initial analysis showed that majority (84%) of CKD patients acquired
detectable neutralizing antibody against SARS-CoV-2 without severe adverse effects,
while the antibody titers were lower than controls. In contrast, we did not observe
such difference in SARS-CoV-2-specific IgG or IgM. The deviance between
neutralizing antibody and SARS-CoV-2-specific IgG responses in CKD patients
indicates that neutralizing antibody rather than IgG might be the most important
marker reflecting humoral immune response in CKD patients. Subgroup analyses
showed that immunosuppressive therapies rather than eGFR levels or disease
diagnosis impair SARS-CoV-2 vaccine-induced immunity. Our analysis in
non-dialysis kidney disease patients greatly supplemented previous studies on
immunosuppressive therapies5-7 and dialysis8-10 impaired vaccine responses. We found
that taking immunosuppressants hampers neutralizing antibody response in CKD
patients and sensitizes neutralizing antibody response to kidney function. Additionally,
our data demonstrates that CKD patients, even for those on immunosuppression
treatment, can benefit from a third vaccination boost by improving their humoral
immunity.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted January 23, 2022. ; https://doi.org/10.1101/2022.01.14.22269182doi: medRxiv preprint
ACKNOWLEDGMENTS
The authors thank the study participants, and clinical staff and nurses who providing
help for their participation and sampling.
FUNDINGS
This study was funded and supported by National Natural Science Foundation of
China (91742205, 82170711, 81800636, 82070733, 82130021), the Fundamental
Research Funds for the Central Universities, CAMS Innovation Fund for Medical
Sciences (2019-I2M-5-046), Y unnanProvincial Science and Technology Department
(202102AA100051, 202003AC100010, China), and Beijing Young Scientist Program
(BJJWZYJH01201910001006).
Disclosure statement
None declared.
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Figures and tables legends
Fig 1 Immune responses after 2-dose inactivated SARS-CoV-2 vaccination in
patients with chronic kidney disease. (A) Neutralization antibodies response. (B)
SARS-CoV-2-specific IgG response. (C) SARS-CoV-2-specific IgM response. (D)
Neutralization antibodies response in patients on immunosuppression. (E) The
correlations between neutralizing antibodies and neutralization antibodies. The
thresholds for neutralization antibodies is represented by the dashed lines, with <2.0
classified as no response, <5.0 as low response, =15.0
as high response. CKD: chronic kidney disease.
Table 1 Demographic and clinical characteristics of study participants. †
indicates angiotensin II receptor blockers, angiotensin-converting enzyme inhibitors,
insulin, metformin, acarbose, sodium-dependent glucose transporter inhibitor, calcium
channel blockers, β-blocker, propylthiouracil, or levothyroxin sodium tablets.
Fig S1 Reasons for SARS-CoV-2 vaccination hesitation in patients with kidney
disease. We screened 3637 patients with kidney disease; of these, 1128 chose not to
participate, 1720 refused to vaccinate, and 744 did not qualify because they had
already been vaccinated before enrollment.
Fig S2 Study flow chart. CKD: chronic kidney disease.
Fig S3 The correlations between neutralizing antibodies and
SARS-CoV-2-specific IgG and IgM. (A) The correlations between neutralizing
antibodies and SARS-CoV-2-specific IgG. (B) The correlations between neutralizing
antibodies and SARS-CoV-2-specific IgM. CKD: chronic kidney disease.
Fig S4 Immune responses after 2-dose inactivated SARS-CoV-2 vaccination in
patients with different kidney disease diagnosis.
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Fig S5 The effect of a third inactivated SARS-CoV-2 vaccination boost. (A)
Enhanced immune responses after 3-dose inactivated SARS-CoV-2 vaccination. (B)
Enhanced immune responses after 3-dose inactivated SARS-CoV-2 vaccination in
chronic kidney disease patients on immunosuppression. CKD: chronic kidney disease.
Table S1 Demographic and clinical characteristics of participants receiving
3-dose inactivated SARS-CoV-2 vaccination. † indicates angiotensin II receptor
blockers, angiotensin-converting enzyme inhibitors, calcium channel blockers,
β-blocker, and levothyroxin sodium tablets.
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Table 1 Demographic and clinical characteristics of study participants.
Characteristics Chronic kidney
disease patients
(n = 45)
Healthy
controls
(n = 100)
Hypertension
disease controls
(n = 100)
Diabetes
disease controls
(n = 100)
Mean age (SD), y 42.4 (16.2) 38.4 (13.3) 39.7 (15.4) 56.3 (8.2)
Gender, n (%)
Female 20 (44.4) 45 (45) 47 (47) 50 (50)
Median interval between the second dose and
sampling (IQR), days
27 (20, 33) 30 (17, 30) 25 (16, 38) 28 (22, 31)
Applied vaccines, n (%)
SinoVac 21 (46.7) 48 (48) 59 (59) 90 (90)
Sinopharm 20 (44.4) 43 (43) 25 (25) 5 (5)
Both 4 (8.9) 9 (9) 16 (16) 5 (5)
Kidney disease diagnosis, n (%)
Chronic glomerulonephritis
IgA nephropathy 21 (46.7) - - -
IgA vasculitis 1 (2.2) - - -
Chronic glomerulonephritis without kidney biopsy 5 (11.1) - - -
Podocytopathy
Membranous nephropathy 4 (8.9) - - -
Focal segmental glomerular sclerosis 1 (2.2) - - -
Metabolic kidney disease
Diabetic nephropathy 4 (8.9) - - -
Hypertensive nephropathy 1 (2.2) - - -
Others
Uninephrectomy 2 (4.4) - - -
Fanconi syndrome 1 (2.2) - - -
Alport syndrome 1 (2.2) - - -
Acute interstitial nephritis 1 (2.2) - - -
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Kidney amyloidosis 1 (2.2) - - -
Monoclonal gammopathy of renal significance 1 (2.2) - - -
Kidney stone 1 (2.2) - - -
Additional diagnosis, n (%)
Hypertension 12 (26.7) - 100 (100) 10 (10)
Diabetes 7 (15.6) - 4 (4) 100 (100)
Obesity 1 (2.2) - - 1 (1)
Gout 3 (6.7) - - -
Viral B hepatitis 2 (4.4) - - -
Fatty liver 1 (2.2) - - -
Coronary heart disease 1 (2.2) - 2 (2) 1 (1)
Asthma 1 (2.2) - - -
Endometrial adenomyosis 1 (2.2) - - -
Chronic lymphocytic leukemia 1 (2.2) - - -
Hypothyroidism 1 (2.2) - - 1 (1)
Hyperthyroidism - - - 1 (1)
Cerebral infarction - - - 1 (1)
Endometrial carcinoma of uterus - - - 1 (1)
Medication exposure, n (%)
Prednisone 4 (8.9) - - -
Bortezomib+dexamethasone 1 (2.2) - - -
Hydroxychloroquine 7 (15.6) - - -
Cyclosporin A 3 (6.7) - - -
Mycophenolate mofetil 1 (2.2) - - -
Tripterygium wilfordii 2 (4.4) - - -
No immunosuppression† 27 (60) - 100 (100) 96 (96)
† indicates angiotensin II receptor blockers, angiotensin-converting enzyme inhibitors, insulin, metformin, acarbose, sodium-dependent glucose
transporter inhibitor, calcium channel blockers, β-blocker, propylthiouracil, or levothyroxin sodium tablets.
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