| Literature DB >> 34717923 |
Hadar Edelman-Klapper1, Eran Zittan2, Ariella Bar-Gil Shitrit3, Keren Masha Rabinowitz4, Idan Goren1, Irit Avni-Biron1, Jacob E Ollech1, Lev Lichtenstein5, Hagar Banai-Eran1, Henit Yanai1, Yifat Snir1, Maor H Pauker1, Adi Friedenberg6, Adva Levy-Barda7, Arie Segal8, Yelena Broitman1, Eran Maoz9, Baruch Ovadia10, Maya Aharoni Golan1, Eyal Shachar11, Shomron Ben-Horin11, Tsachi-Tsadok Perets12, Haim Ben Zvi13, Rami Eliakim11, Revital Barkan6, Sophy Goren14, Michal Navon15, Noy Krugliak15, Michal Werbner16, Joel Alter17, Moshe Dessau17, Meital Gal-Tanamy16, Natalia T Freund15, Dani Cohen14, Iris Dotan18.
Abstract
BACKGROUND & AIM: Patients with inflammatory bowel diseases (IBD), specifically those treated with anti-tumor necrosis factor (TNF)α biologics, are at high risk for vaccine-preventable infections. Their ability to mount adequate vaccine responses is unclear. The aim of the study was to assess serologic responses to messenger RNA-Coronavirus Disease 2019 vaccine, and safety profile, in patients with IBD stratified according to therapy, compared with healthy controls (HCs).Entities:
Keywords: COVID-19; Serologic Response; Vaccine; mRNA-BNT162b2
Mesh:
Substances:
Year: 2021 PMID: 34717923 PMCID: PMC8552587 DOI: 10.1053/j.gastro.2021.10.029
Source DB: PubMed Journal: Gastroenterology ISSN: 0016-5085 Impact factor: 22.682
Figure 1(A) Study protocol. Patients were enrolled at visit 1, before the first vaccine dose. Visit 2 was 14 to 21 days after the first but before the second vaccine dose. A week after the second vaccine dose, a phone call was made to evaluate AEs, and a visit 3 was 4 weeks after the second vaccine dose. In each visit, laboratory tests were performed, and questionnaires regarding disease severity and AEs were filled. (B) Patient disposition. The diagram represents all enrolled participants who were recruited before vaccination. ∗28 subjects were recruited at the second visit (after first vaccine dose but before the second one), mainly for logistic reasons. Most of them (22) were HCs. Number of subjects at each visit is detailed in the table below the diagram. Vacc, vaccine dose.
Baseline Demographic Characteristics of Participants
| Characteristic | Anti-TNFα n = 67 | Non–anti-TNFα n = 118 | HC n = 73 | |
|---|---|---|---|---|
| Mean age, y (SD) | 37.8 (14.3) | 38.2 (14.3) | 36.6 (12.4) | .744 |
| Female, n (%) | 24 (35.8) | 49 (41.5) | 53 (72.6) | |
| Origin, n (%) | ||||
| Ashkenazi | 31 (46.3) | 49 (41.5) | 36 (49.3) | .558 |
| Non-Ashkenazi | 36 (53.7) | 69 (58.5) | 37 (50.7) | |
| Mean BMI, kg/m2 (SD) | 25 (4.0) | 24.4 (5.2) | 25.7 (6.4) | .354 |
| Smoking status, n (%) | ||||
| Present | 8 (11.9) | 15 (12.7) | 7 (9.5) | .299 |
| Past | 9 (13.4) | 7 (5.9) | 3 (4.1) | |
| No | 50 (74.6) | 89 (75.4) | 63 (86.3) | |
| Comorbidities, | 8 (11.9) | 11 (9.3) | 5 (6.8) | |
| IBD phenotype, n (%) | ||||
| CD | 56 (83.6) | 66 (55.9) | — | |
| UC | 8 (11.9) | 45 (38.1) | — | |
| IPAA | 2 (3) | 4 (3.4) | — | |
| IBD-U | 1 (1.5) | 3 (2.5) | — | |
| Disease activity, | ||||
| Remission | 46 (68.6) | 74 (62.7) | — | 1.000 |
| Active | 21 (31.4) | 44 (37.3) | — | |
| Current medication, n (%) | ||||
| IFX | 34 (50.7) | — | — | |
| ADA | 33 (49.3) | — | — | |
| Vedolizumab | — | 26 (22.03) | — | |
| Ustekinumab | — | 5 (4.23) | ||
| 5-ASA | 5 (7.4) | 37 (31.3) | — | |
| Steroids | 1 (1.5) | 7 (5.9) | — | |
| Immunomodulators | 8 (11.9) | 8 (6.7) | — | |
| JAK inhibitor | — | 3 (2.5) | ||
| No medical treatment | — | 38 (32.2) | — |
BMI, body mass index; IBD-U, IBD-unclassified; IPAA, ileal pouch anal-anastomosis.
Comorbidities were present in 21 patients overall and included mainly asthma (6), diabetes (5), high blood pressure (5), and celiac disease (2). The rest were fatty liver disease, hypothyroidism, ankylosing spondylitis, and prostate cancer.
Disease activity was quantified clinically by validated questionnaires.
Including 6-mercatopurine, azathioprine, and methotrexate.
Figure 2Patients with IBD treated with anti-TNFα have significantly reduced levels of anti-S antibodies. (A–C) Levels of anti-S antibodies in sera from HCs (shown in green), patients with IBD receiving non–anti-TNFα treatment (non–anti-TNFα, shown in blue), and patients with IBD receiving anti-TNFα treatment (anti-TNFα, shown in red). Antibodies were measured by the Abbott quantitative anti-S IgG kit. Visit 1 was before vaccination, visit 2 and visit 3, after first and second vaccine doses, respectively. Statistical analysis was carried out using independent-samples Kruskal-Wallis test. ∗∗∗P < .0005, ∗∗∗∗P < .0001. Black solid line denotes median, black dashed lines denote IQR 25–75. Dotted line represents the threshold for seroconversion (50 AU/mL). Specific GMCs and P values are in Supplementary Table 2. (D) Pie charts representing the fractions of patients at timepoint visits 1, 2, and 3, with anti-SARS-CoV-2 antibody levels as designated in the legend (A–C). Numbers in the middle of pies denote the total number of subjects tested in each group for every timepoint.
Figure 3Patients with IBD treated with anti-TNFα have significantly reduced levels of anti-SARS-CoV-2 inhibiting antibodies. (A–C) Ability of serum from HCs (shown in green), patients with IBD receiving non–anti-TNFα treatment (non–anti-TNFα, shown in blue), and patients with IBD receiving anti-TNFα treatment (anti-TNFα, shown in red) to inhibit SARS-CoV-2 RBD binding to ACE2 receptor. Values measured by ELISA are presented as % inhibition (y axis), following vaccination. Visit 1 was before vaccination, and visit 2 and visit 3 were after first and second vaccine doses, respectively. Zero inhibition was set as the value of RBD without added sera. Statistical analysis was carried out using independent-samples Kruskal-Wallis test. ∗∗∗P < .0005, ∗∗∗∗P < .0001. At least 3 repetitions for every sample. Black solid line denotes median, black dashed lines denote IQR 25–75. Median percentage of inhibitions are in Supplementary Table 4. (D) Pie charts representing the fractions of patients at timepoint visits 1, 2, and 3, who developed none (<20%), low (20%
Figure 4Patients with IBD treated with anti-TNFα have significantly reduced levels of anti-SARS-CoV-2 neutralizing antibodies. (A, B) Sera, diluted to a final concentration of 1:200, were incubated with vesicular stomatitis virus-spike pseudo-particles (VSVΔGGFPSΔ19) for 1 hour at 37°C, before infecting ACE2 expressing human embryonic kidney 293 cells for 24 hours. The number of green fluorescent protein–positive cells was normalized and converted to a neutralization percentage in each sample, compared with the average of control samples. Visit 1 was before vaccination, visit 2 and visit 3 were after first and second vaccine doses, respectively. Statistical analysis was carried out using independent-samples Kruskal-Wallis test. ∗∗∗P < .0005, ∗∗∗∗P < .0001. Black solid line denotes median, black dashed lines denote IQR 25–75. (C) Pie charts representing the fractions of patients in timepoints visit 2 and visit 3, who developed none (<20%), low (20%
Factors Associated With Serologic Response (Multivariate Linear Regression)
| Visit 2 | Visit 3 | ||||
|---|---|---|---|---|---|
| B | B | ||||
| Treatment | Anti-TNFα | −0.25 (−1.4 to 0.4) | −0.32 (−1.2 to 0.46) | ||
| Non–anti-TNFα | −0.09 | .270 | −0.128 | .141 | |
| HC | Reference | Reference | |||
| Gender | Male | −0.09 | .198 | −0.039 | .602 |
| Female | Reference | Reference | |||
| Age (y) | −0.43 (−0.07 to −0.03) | −0.27 (−0.03 to −0.01) | |||
| IBD current medication | ADA | 0.157 | .074 | 0.081 | .382 |
| IFX | −0.137 | .12 | −0.032 | .732 | |
| Other | 0.007 | .935 | −0.114 | .262 | |
| None | Reference | Reference | |||
| White blood cells (K/μL) | –0.038 | .591 | −0.104 | .159 | |
Standardized Beta coefficients were obtained from linear regression.