| Literature DB >> 33851176 |
Parakkal Deepak1, Wooseob Kim2, Michael A Paley3, Monica Yang4, Alexander B Carvidi4, Alia A El-Qunni3, Alem Haile5, Katherine Huang6, Baylee Kinnett6, Mariel J Liebeskind7, Zhuoming Liu8, Lily E McMorrow3, Diana Paez4, Dana C Perantie9, Rebecca E Schriefer3, Shannon E Sides9, Mahima Thapa2, Maté Gergely6, Suha Abushamma6, Michael Klebert10, Lynne Mitchell3, Darren Nix6, Jonathan Graf4, Kimberly E Taylor4, Salim Chahin9, Matthew A Ciorba11, Patricia Katz4, Mehrdad Matloubian4, Jane A O'Halloran10, Rachel M Presti10, Gregory F Wu12, Sean P J Whelan8, William J Buchser7, Lianne S Gensler13, Mary C Nakamura13, Ali H Ellebedy14, Alfred H J Kim15.
Abstract
BACKGROUND: Individuals with chronic inflammatory diseases (CID) are frequently treated with immunosuppressive medications that can increase their risk of severe COVID-19. While novel mRNA-based SARS-CoV-2 vaccination platforms provide robust protection in immunocompetent individuals, the immunogenicity in CID patients on immunosuppression is not well established. Therefore, determining the effectiveness of SARS-CoV-2 vaccines in the setting of immunosuppression is essential to risk-stratify CID patients with impaired protection and provide clinical guidance regarding medication management.Entities:
Year: 2021 PMID: 33851176 PMCID: PMC8043473 DOI: 10.1101/2021.04.05.21254656
Source DB: PubMed Journal: medRxiv
Demographic and Clinical Characteristics of Participants with Chronic Inflammatory Diseases
| Characteristics | N=133 |
|---|---|
| Age, years | |
| Mean ± SD | 45.5 ± 16.0 |
| Age category — no. of participants (%) | |
| <65yr | 114 (85.7) |
| ≥65yr | 19 (14.3) |
| Gender — no. of participants (%)[ | |
| Female | 99 (74.4) |
| Male | 34 (25.6) |
| Hispanic or Latinx ethnicity – no of participants (%)[ | |
| Hispanic or Latinx | 6 (4.5) |
| Not Hispanic or Latinx | 127 (95.5) |
| Race or ethnic group — no. of participants (%)[ | |
| White | 117 (88.0) |
| Asian | 9 (6.8) |
| Black or African American | 4 (3.0) |
| American Indian or Alaska Native | 2 (1.5) |
| Multi-racial | 1 (0.8) |
| BMI [kg/m2], mean ± SD | 26.6 ± 6.3 |
| Days after 2nd immunization for blood sample, mean ± SD | 8.5 ± 2.8 |
| Inflammatory Bowel Disease | 42 (31.6) |
| Crohn’s Disease | 22 (16.5) |
| Ulcerative Colitis | 18 (13.5) |
| Other | 2 (1.5) |
| Rheumatoid Arthritis | 38 (28.6) |
| Spondyloarthritis | 20 (15) |
| Axial Spondyloarthritis | 6 (4.5) |
| Psoriatic Arthritis/Psoriasis | 10 (7.5) |
| IBD Arthritis | 4 (3.0) |
| Uveitis | 5 (3.8) |
| Systemic Lupus Erythematosus | 15 (11.3) |
| Other Connective Tissue Disease[ | 4 (3.0) |
| Sjögren’s Syndrome | 8 (6.0) |
| Vasculitis | 5 (3.8) |
| Autoinflammatory Syndrome | 2 (1.5) |
| Multiple Sclerosis | 9 (6.8) |
| Neuromyelitis Optica | 1 (0.8) |
| IgG4-Related Disease | 2 (1.5) |
| Hidradenitis Suppurativa | 1 (0.8) |
| Human Immunodeficiency Virus | 1 (0.8) |
| Anti-phospholipid Syndrome | 1 (0.8) |
| Prednisone | 17 (12.8) |
| Mean mg/day ± SD | 6.5 ± 5.8 |
| Range, mg/day | 1 - 20 |
| Disease Modifying Antirheumatic Drug (DMARD) | |
| Methotrexate | 29 (21.8) |
| Mean mg/week ± SD | 17.1 ± 5.4 |
| Range, mg/day | 7.5 - 25 |
| Hydroxychloroquine | 30 (22.6) |
| Mycophenolate Mofetil | 9 (6.8) |
| Azathioprine | 4 (3.0) |
| Leflunomide | 2 (1.5) |
| Sulfasalazine | 7 (5.3) |
| Janus Kinase inhibitors | |
| Tofacitinib | 10 (7.5) |
| Upadacitinib | 1 (0.8) |
| Biological therapies | |
| Tumor Necrosis Factor inhibitors[ | 38 (28.6) |
| B cell depleting therapies[ | 10 (7.5) |
| Belimumab | 3 (2.3) |
| Vedolizumab | 12 (9.0) |
| Interleukin 12/23 or 23 inhibitors | 10 (7.5) |
| Abatacept | 2 (1.5) |
| Tocilizumab | 1 (0.8) |
| Canakinumab | 1 (0.8) |
| Fingolimod | 1 (0.8) |
| Ibrutinib | 1 (0.8) |
| Nonsteroidal Anti-inflammatory Drugs (NSAIDs) | 27 (20.3) |
| No DMARDs or biologics | 9 (6.8) |
Patients could be diagnosed with more than 1 condition, such that the sum of diagnoses is greater than the number of participants.
Gender, Race or ethnic group was reported by the participant.
Other Connective Tissue Disease includes Undifferentiated connective tissue disease and Mixed Connective Tissue Disease.
Tumor Necrosis Factor Inhibitors includes adalimumab (n=13), certolizumab pegol (n=5), etanercept (n=13), golimumab (n=2) and infliximab (n=6).
B cell depleting therapies include rituximab (n=8) and ocrelizumab (n=4).
Interleukin 12/23 inhibitors include ustekinumab (n=9) and interleukin 23 inhibitors include guselkumab (n=1)
Figure 1.Glucocorticoids Reduce Immunogenicity of mRNA-based SARS-CoV-2 Vaccination.
Immunocompetent (control) and chronic inflammatory disease (CID) participants underwent blood draws pre- and post-vaccination (~1-2 weeks after boost) and concurrent medication use was collected. Quantification of circulating anti-S IgG for immunocompetent (left) and CID (right) participants pre- and post-immunization is shown in Panel A. Each symbol represents an individual for each timepoint. Dotted lines indicate limits of detection (LoD). Horizontal red lines indicate median value. A lower titer of anti-SARS-CoV-2 antibodies post-vaccination in CID vs immunocompetent participants is shown in Panel B. Neutralization of SARS-CoV-2 S protein by serum of immunocompetent and CID participants post-vaccination is shown in Panel C. Pseudotyped vesicular stomatitis virus with SARS-CoV-2 S protein was introduced to Vero cells with decreasing concentrations of serum to identify the dilution required for 50% neutralization. Values are normalized to the median of immunocompetent participants. A lower titer of anti-SARS-CoV-2 antibodies is found in CID participants taking glucocorticoids is shown in Panel D. CID participants are split by prednisone use (shaded black). A decrease in neutralization of SARS-CoV-2 S for CID participants on or off glucocorticoids is shown in Panel E. P values are indicated for each comparison (Dunn’s multiple comparison test).
Figure 2.Antimetabolites Modestly Reduce Immunogenicity of mRNA-based SARS-CoV-2 Vaccination.
Decreases in circulating anti-S IgG post-immunization for CID participants either not taking antimetabolites, taking any antimetabolite, or specifically taking methotrexate are shown in Panel A. Methotrexate use is denoted by square symbols. Glucocorticoid use was excluded. Dotted lines indicate limits of detection (LoD). A decrease in neutralization of SARS-CoV-2 S for CID participants on or off antimetabolites is shown in Panel B. Values are normalized to the median of immunocompetent participants. Each symbol represents an individual for each timepoint. Horizontal red lines indicate median value. P values are indicated for each comparison (Dunn’s multiple comparison test).
Figure 3.B Cell Depletion Therapy Reduces Immunogenicity of mRNA-based SARS-CoV-2 Vaccination.
Quantification of circulating anti-S IgG for immunocompetent (control) and CID participants on TNF inhibitors (TNFi), JAK inhibitors (JAKi), B cell depletion therapy (BCDT), anti-integrin agents, and anti-IL-12/23 agents are shown in Panel A. Combined use with prednisone (PDN) is denoted by solid fill and with methotrexate (MTX) is denoted by square symbols. Dotted lines indicate limits of detection (LoD). Neutralization for the same sub-groups is shown in Panel B. Values are normalized to the median of immunocompetent participants. Quantification of circulating anti-S IgG for CID participants on TNFi, separated by methotrexate use is shown in Panel C. A reduction in neutralization for participants on an TNFi alone is shown in Panel D. Each symbol represents an individual for each timepoint. Horizontal red lines indicate median value. P values are indicated for each comparison (Dunn’s multiple comparison test).
Post-vaccine Titer by Chronic Inflammatory Diseases Medication Group versus Immunocompetent Participants.
| Medication group[ | N | Fold Reduction in Titer (95% CI) | P value[ |
|---|---|---|---|
| B-cell depleting therapy | 10 | 52.7 (18.3 - 152.0) | |
| Prednisone | 14 | 15.1 (4.9 - 46.3) | |
| JAK inhibitors | 10 | 6.6 (2.9 - 15.3) | |
| Antimetabolites | 31 | 2.9 (1.5 - 5.6) | |
| Antimalarials | 14 | 2.2 (0.96 - 5.0) | 0.062 |
| TNF inhibitors | 21 | 1.7 (0.92 - 3.2) | 0.091 |
| Other [ | 33 | 1.6 (0.92 - 2.8) | 0.097 |
Each medication group excludes patients in the group(s) above.
Tobit regression of log10(post-vaccine titer) left-censored at limit of detection log10(30), adjusting for log10(pre-vaccine titer), age, and gender.
Other medications include NSAIDs, sulfasalazine, anti-integrin therapy, anti-IL-12/23 therapy, and ibrutinib.