| Literature DB >> 31819587 |
Marco Bo1, Gian Luca Erre2, Horacio Bach3, Yael N Slavin3, Piera Angela Manchia4, Giuseppe Passiu2, Leonardo A Sechi1.
Abstract
PURPOSE: Rheumatoid arthritis (RA) can result from complex interactions between the affected person's genetic background and environment. Viral and bacterial infections may play a pathogenetic role in RA through different mechanisms of action. We aimed to evaluate the presence of antibodies (Abs) directed against two proteins of Mycobacterium avium subsp. paratuberculosis (MAP) in sera of RA subjects, which are crucial for the survival of the pathogen within macrophages. Moreover, we analyzed the correlation of immune response to both proteins with the following homologous peptides: BOLF1305-320, MAP_402718-32 and IRF5424-434 to understand how the synergic role of Epstein-Barr virus (EBV) and MAP infection in genetically predisposed subjects may lead to a possible deregulation of interferon regulatory factor 5 (IRF5).Entities:
Keywords: Mycobacterium avium subsp. paratuberculosis; PknG; PtpA; immune response; rheumatoid arthritis; virulence factors
Year: 2019 PMID: 31819587 PMCID: PMC6899068 DOI: 10.2147/JIR.S220960
Source DB: PubMed Journal: J Inflamm Res ISSN: 1178-7031
Demographic, Clinical and Laboratory Features of RA Subjects and HCs
| RA n=84 | HCs n=79 | |
|---|---|---|
| Age, years | 59.0 ± 9.9 | 46.7 ± 11.6 |
| Female sex, n (%) | 65 (77.38) | 54 (68.35) |
| Disease duration, months | 145 ± 134 | – |
| ACPA positivity, n (%) | 68.6 | – |
| RF positivity, n (%) | 74.5 | – |
| HAQ (0–3) | 0.92 ± 0.73 | – |
| DAS-28 | 3.72 ± 1.38 | – |
| CRP, mg/dL | 0.88 ± 0.96 | – |
| ESR, mm/h | 30.7 ± 25.8 | – |
| Steroids use, n (%) | 43.4 | – |
| DMARDs use, n (%) | 66.3 | – |
| Anti-TNF use, n (%) | 24.1 | – |
| Tocilizumab use, n (%) | 12 | – |
| Abatacept use, n (%) | 4.9 | – |
Figure 1ELISA-based analysis of antibody reactivity against two proteins of MAP in RA subject and HCs. The sera was tested against plate-coated PtpA (A) and PknG (B) proteins. Bars represent the median ± interquartile range. Thresholds for antibody positivity are indicated by dashed lines. P-values are indicated above the distributions. ROC analysis of both proteins (C and D).
Figure 2Scatter plot showing correlations between Abs titers recognizing (A) BOLF1305–320 and PtpA, (C) MAP_402718–32 and PtpA, (E) IRF5424–434 and PtpA, (B) BOLF1305–320 and PknG, (D) MAP_402718–32 and PknG, (F) IRF5424–434 and PknG in 84 RA patients and 79 HCs. Person’s correlation was calculated through Graphpad Prism 6.0 software.
Figure 3(A) Coincidence of seroreactivity to the PtpA, PknG proteins and MAP_402718–32 peptide among Abs-positive RA and HCs subject. (B) Prevalence of Abs directed against PtpA, PknG and MAP_402718–32 in RA patients and HCs.