| Literature DB >> 34149711 |
Silvia Sánchez-Ramón1, Lidia Fernández-Paredes1, Paula Saz-Leal2, Carmen M Diez-Rivero2, Juliana Ochoa-Grullón1, Concepción Morado3, Pilar Macarrón3, Cristina Martínez3, Virginia Villaverde4, Antonia Rodríguez de la Peña1, Laura Conejero2, Keyla Hernández-Llano1, Gustavo Cordero1, Miguel Fernández-Arquero1, Benjamin Fernández- Gutierrez3, Gloria Candelas3.
Abstract
Introduction: Conventional or biologic disease-modifying anti-rheumatic drugs (DMARDs) are the mainstay of treatment for systemic autoimmune disease (SAD). Infectious complications are a major concern in their use. Objective: To evaluate the clinical benefit of sublingual mucosal polybacterial vaccines (MV130 and MV140), used to prevent recurrent respiratory and urinary tract infections, in patients with SAD and secondary recurrent infections following conventional or biologic DMARDs.Entities:
Keywords: MV130; MV140; biological therapies; mucosal bacterial vaccines; recurrent infections; systemic autoimmune disease
Year: 2021 PMID: 34149711 PMCID: PMC8212043 DOI: 10.3389/fimmu.2021.675735
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Flow-chart of the study. RRTI, recurrent respiratory tract infections; RUTI, recurrent urinary tract infections; IT, immunotherapy.
Demographic and clinical characteristics of subjects at baseline (n=41).
| Mean ± SD or N (%) | |
|---|---|
| Age (years) | 54.68 ± 14.66 |
| Age range | 21 – 81 |
| Sex (M/F) | 3/38 (3.7%/92.7%) |
| Rheumatoid arthritis | 18/41 (43.9%) |
| Systemic lupus erythematosus | 8/41 (19.5%) |
| Mixed connective tissue disease | 3/41 (7.3%) |
| Others (miscellaneous) | 12/41 (29.3%) |
| Recurrent respiratory tract infections | 14/41 (34.1%) |
| Recurrent urinary tract infections | 19/41 (46.3%) |
| Both | 8/41 (19.5%) |
| Antibody deficiency | 8/41 (19.5%) |
| Hypogammaglobulinemia | 3/41 (7.3%) |
| Others (miscellaneous) | 5/41 (12.2%) |
Data is expressed as mean ± SD or frequency (%) of total subjects. M, male; F, female.
Figure 2MV140 and MV130 induce a significant fall-off in the incidence of recurrent respiratory and urinary infections. (A-C) Number of infectious episodes scored 1 year prior to vaccination and throughout 12 months after the initiation of immunotherapy (MV130 or MV140) in subjects suffering RRTI (A), RUTI (B) or both (C). RRTI: Recurrent respiratory tract infections, either upper (URTI), lower (LRTI) or both (total RTI); RUTI: Recurrent urinary tract infections. Data from 14 (A), 19 (B) or 8 (C) subjects are shown. Lines link paired values. Normal distribution was evaluated using the Shapiro-Wilk test. P values were calculated using Wilcoxon signed-rank test.
Figure 3Prophylaxis with MV130 and MV140 reduce the consumption of healthcare resources. (A–C) Antibiotic consumption (A), unscheduled medical visits (emergency unit and specialist) (B) and hospitalization (C) in subjects suffering RRTI (left panel), RUTI (middle panel) or both (right panel), during the year prior (pre) and after (post) the initiation of the treatment (MV130 or MV140). RRTI: Recurrent respiratory tract infections; RUTI: Recurrent urinary tract infections. Bars show the relative abundance of the number of antibiotic courses (A), unscheduled medical visits (B) or hospital admissions (C) in the total of subjects recorded. Data from 29 (A), 33 (B) or 34 (C) subjects, receiving either MV130 or MV140 according to their pathology are shown. Normal distribution was evaluated using the Shapiro-Wilk test. P values were calculated using Wilcoxon signed-rank test, ns, non-significant.
Figure 4Prophylaxis with mucosal bacterial vaccines increases serum antibody production. (A–D) Serum IgA (left panels) and IgG (right panels) antibodies against the specified pathogens (A, C) or the bacterial mixture (B, D), collected from subjects before vaccination and at 18-45 months after initiating either MV130 or MV140 immunotherapy. Data in each individual subject are normalized to the corresponding pre-vaccination value. Results from N=6 (MV130) or N=5 (MV140) individuals are shown as mean+SEM for each immunoglobulin. P values were calculated using one sample t-test with 1 as theoretical mean value.