| Literature DB >> 36120415 |
Laura Gragnani1, Marcella Visentini2, Serena Lorini1, Francesca La Gualana2, Stefano Angelo Santini3,4, Fabio Cacciapaglia5, Antonio Tavoni6, Giovanna Cuomo7, Poupak Fallahi8, Florenzo Iannone5, Alessandro Antonelli9, Milvia Casato2, Anna Linda Zignego1, Clodoveo Ferri10,11.
Abstract
Background: Patients with autoimmune systemic diseases (ASDs) represent a frail population during the ongoing COVID-19 pandemic. The vaccination is the major preventive measure; however, a significant number of ASD patients show an impaired production of anti-COVID-19 neutralizing antibodies (NAb), possibly counterbalanced by adequate T-cell response. The present study aimed at evaluating both humoral and cellular response to COVID-19 vaccine booster dose in this particular setting. Patients and methods: Serum NAb titer and T-cell response (measuring interferon gamma -IFN-γ- release) were evaluated 3 weeks after the COVID-19 vaccine booster dose, in 17 patients (12 F, mean age 68.8 ± 15.3 SD yrs) with different ASDs, compared to 17 healthy controls (HCs).Entities:
Keywords: Autoimmune systemic diseases; Booster dose; COVID-19 vaccine; Humoral response; T-cell response
Year: 2022 PMID: 36120415 PMCID: PMC9472465 DOI: 10.1016/j.jtauto.2022.100164
Source DB: PubMed Journal: J Transl Autoimmun ISSN: 2589-9090
Humoral and cellular response to COVID-19 vaccine booster in autoimmune systemic diseases.
| Patient | Sex | Age | Diagnosis | DMT (≤6 months) | Response to COVID-19 vaccine | ||
|---|---|---|---|---|---|---|---|
| Humoral | Cellular | ||||||
| Ag1 | Ag2 | ||||||
| 1 | F | 83 | CV | none | POS | ||
| 2 | M | 55 | CV | RTX + Bendamustine | |||
| 3 | F | 83 | CV | none | POS | POS | POS |
| 4 | F | 70 | CV | none | POS | POS | POS |
| 5 | F | 87 | CV | none | POS | POS | POS |
| 6 | M | 79 | CV | none | POS | ||
| 7 | M | 75 | CV | High-CSs (RTX^) | |||
| 8 | F | 57 | SSc | Low-CSs + MMF | POS | ||
| 9 | M | 36 | SSc | Low-CSs + MMF | POS | POS | |
| 10 | F | 86 | SSc | Low-CSs | POS | ||
| 11 | F | 70 | SSc | HCQ | POS | POS | POS |
| 12 | F | 62 | SSc | AZA | POS | POS | POS |
| 13 | F | 64 | SSc | Low-CSs + MMF | |||
| 14 | F | 54 | RA | Low-CSs + LFM + JAKi | POS | POS | |
| 15 | F | 52 | RA | HCQ | POS | ||
| 16 | M | 88 | RA | Low-CSs + AZA | POS | POS | POS |
| 17 | F | 60 | SLE + COVID19* | Low-CSs + AZA | POS | POS | POS |
Table 1 legend: F: Female; M: Male; Ag1: Antigen 1; Ag2: Antigen 2; CV: cryoglobulinemic vasculitis; DMT: disease modifying therapies; SSc: systemic sclerosis; RA: rheumatoid arthritis; SLE: systemic lupus erythematosus; RTX: Rituximab; CSs: Corticosteroids; MMF: Mycophenolate mofetil; HCQ: Hydroxychloroquine; AZA: Azathioprine; LFM: Leflunomide; JAKi: JAK-inhibitors. Low-CSs dose: ≤10 mg/; High-CSs dose: ≥25 mg/day. *The patient had symptoms of COVID-19 prior to the booster dose, and she reported it only after the immunogenicity tests had been performed; ^ RTX was administered 12 months before the booster shot.
Fig. 1Humoral and cellular immunogenicity of COVID-19 vaccine booster dose in ASD pts and healthy controls.
Humoral and cellular immunogenicity of different doses of COVID-19 vaccines in autoimmune diseases (review of the literature).
| First author | Year, ref | Country | Patients no | Diagnosis | Therapies | Immunogenicity | |
|---|---|---|---|---|---|---|---|
| Humoral response | Cellular response# | ||||||
| Saleem B. | 2022 [ | UK | 83 | RA | RTX, anti TNF, anti-IL6, MTX, ABA, Jak inhibitors | 45% | 53% |
| De Santis M. | 2022 [ | Italy | 150 | RA; SSc; SLE; SpA; DM | MMF | RA 100% | Impaired cellular response in patients with an impaired humoral response. |
| Bitoun S. | 2021 [ | France | 59 | RA; SLE; SSc; Vasculites | RTX (24 pts) | RTX: 29.2% | CD4 and CD8 cellular responses similar between the two groups and to HCs |
| Farroni C. | 2022 [ | Italy | 35 | RA | TNF -α inhibitors, DMARD, IL-6 inhibitors, CSs, ABA | 91.4% | 65.7% |
| Prendecki M. | 2021 [ | UK | 42 | SLE; AAV | nd | SLE 7/8 (87.5%) | SLE 2/2 (100%) |
| Szebeni G.J. | 2022 [ | Hungary | 89 | RA; SLE; SSc; AAV; SSj | CSs, bDMARDs, cDMARDs, Belimumab | Vaccine-based stratification: | Vaccine-based stratification: |
| Oyaert M. et al. | 2022 [ | Belgium | 21 | RA, SSc, SLE, PsA, AAV, polymyositis, IgA granulomatosis | RTX, DMARD, CSs, MTX, belimumab, adalimumab, | 11/21 (52.4%) | 9/21 (42.9%) |
| Sieiro Santos C. et al. | 2022 [ | Spain | I cohort (ongoing immune-suppressors):100 | RA, SLE, SS, pSS | I cohort: MTX, AZA, MMF, LFM and/or bDMARDs (Belimumab, ABA, RTX) | I cohort Seroconversion: 55% | Th1 response 52% |
| Marty P·K. | 2022 [ | USA | 17 | AAV | 11 B-cell depleted | 0% | 90.9% |
| Corradini P. et al. | 2022 [ | Italy | 37 | AAV, SSc, mixed connective tissue disease, SLE, pSS, DM, polymyositis, and RA | MTX, MMF, AZA, cyclosporine, RTX, CSs | 90% | 89.2% |
| Firinu D. et al. | 2022 [ | Italy | 31 | RA, SLE, Connective Tissue Disease; MS | RTX; OCRE; ADA; ETN; MTX; MMF; csDMARDs | 55% among the RTX group, 100% in IMID (immune-mediated inflammatory diseases, naïve to RTX) | 21 (68%) |
| Azzolini E. et al. | 2022 [ | Italy | 30 | PA/SpA/AS, RA, SLE, DM, pSS, SSc | MTX, MMF | 96.6% | 80% Ag1 |
| Jyssum I. et al. | 2022 [ | Norway | 49 | RA | All treated with RTX | 16.3% | 100% (evaluated in 12/49) |
| Gragnani L. Visentini M. et al. | Italy | 16 | CV, SSc, RA | MMF, Bendamustine, RTX, CSs, AZA, HCQ, LFM + JAKi | 69% | 50% Ag1 | |
Table 2 legend: Abbreviations: RA: rheumatoid arthritis; SSc: systemic sclerosis; SLE: systemic lupus erythematosus; AAV, ANCA-associated vasculitis; PsA: SpA: Psoriatic arthritis; SpA: Spondyloarthritis; AS ankylosing spondylitis: DM: Dermatomyositis; pSS: Primary Sjogren's syndrome; MS: Multiple Sclerosis; IMID: immune-mediated inflammatory diseases; RTX: Rituximab; MTX: Methotrexate; DMARDs: Disease Modifying Anti-Rheumatic Drugs; bDMARDs: Biological disease modifying anti-rheumatic drugs; CSs: Corticosteriods; LFM: Leflunomide AZA: Azathioprine; MMF: Mycophenolate mofetil; ABA: Abatacept; OCRE: ocrelizumab; ADA: adalimumab; ETN: etanercept; HCs: Healthy Controls; pts: patients. # Cellular response was evaluated by different methods.