| Literature DB >> 15899056 |
Michael Mahler1, Reinout Raijmakers, Cornelia Dähnrich, Martin Blüthner, Marvin J Fritzler.
Abstract
Anti-PM/Scl antibodies represent a specific serological marker for a subset of patients with scleroderma (Scl) and polymyositis (PM), and especially with the PM/Scl overlap syndrome (PM/Scl). Anti-PM/Scl reactivity is found in 24% of PM/Scl patients and is found in 3-10% of Scl and PM patients. The PM/Scl autoantigen complex comprises 11-16 different polypeptides. Many of those proteins can serve as targets of the anti-PM/Scl B-cell response, but most frequently the PM/Scl-100 and PM/Scl-75 polypeptides are targeted. In the present study we investigated the clinical relevance of a major alpha helical PM/Scl-100 epitope (PM1-alpha) using a newly developed peptide-based immunoassay and compared the immunological properties of this peptide with native and recombinant PM/Scl antigens. In a technical comparison, we showed that an ELISA based on the PM1-alpha peptide is more sensitive than common techniques to detect anti-PM/Scl antibodies such as immunoblot, indirect immunofluorescence on HEp-2 cells and ELISA with recombinant PM/Scl polypeptides. We found no statistical evidence of a positive association between anti-PM1-alpha and other antibodies, with the exception of known PM/Scl components. In our cohort a negative correlation could be found with anti-Scl-70 (topoisomerase I), anti-Jo-1 (histidyl tRNA synthetase) and anti-centromere proteins. In a multicenter evaluation we demonstrated that the PM1-alpha peptide represents a sensitive and reliable substrate for the detection of a subclass of anti-PM/Scl antibodies. In total, 22/40 (55%) PM/Scl patients, 27/205 (13.2%) Scl patients and 3/40 (7.5%) PM patients, but only 5/288 (1.7%) unrelated controls, tested positive for the anti-PM1-alpha peptide antibodies. These data indicate that anti-PM1-alpha antibodies appear to be exclusively present in sera from PM/Scl patients, from Scl patients and, to a lesser extent, from PM patients. The anti-PM1-alpha ELISA thus offers a new serological marker to diagnose and discriminate different systemic autoimmune disorders.Entities:
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Year: 2005 PMID: 15899056 PMCID: PMC1174964 DOI: 10.1186/ar1729
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Results of the technical comparison of indirect immunofluorescence (IIF), immunoblot and ELISA for the detection of anti-polymyositis/scleroderma (anti-PM/Scl) antibodies
| Sample number | IIF | Immunoblot | ELISA | ||||
| Titer | Pattern | PM/Scl-75 | PM/Scl-100 | Other | PM/Scl-100 | PM1-α | |
| 1 | 1:10000 | FG, N | ++ | +++ | 15.3 | 17.7 | |
| 2 | 1:1000 | FG, N | + | + | 2.9 | 7.6 | |
| 3 | 1:3200 | FG, N | ++ | ++ | 14.4 | 29.2 | |
| 1:320 | AMA | ||||||
| 4 | 1:320 | FG, N | - | + | 1.1 | 4.7 | |
| 5 | 1:1000 | FG, N | + | + | 2.2 | 12.1 | |
| 6 | 1:3200 | FG, N | - | - | 0.6 | 2.3 | |
| 7 | 1:1000 | FG, N | ++ | +++ | 5.2 | 13.3 | |
| 8 | 1:1000 | FG, N | + | + | 2.3 | 12.7 | |
| 9 | 1:3200 | FG, N | + | +++ | P38 | 15.5 | 36.1 |
| 10 | - | - | + | 1.7 | 4.0 | ||
| 11 | 1:1000 | FG, N | - | ++ | 19.2 | 2.4 | |
| 12 | 1:1000 | FG, N | ++ | + | 1.2 | 3.2 | |
| 13 | 1:3200 | FG, N | +++ | +++ | Ku86, Jo-1 | 6.5 | 10.6 |
| 14 | 1:3200 | FG, N | - | ++ | 2.1 | 5.9 | |
| 15 | 1:3200 | FG, N | ++ | +++ | 11.4 | 22.5 | |
| 16 | 1:1000 | FG, N | - | + | 3.6 | 8.5 | |
| 17 | 1:1000 | FG, N | + | ++ | 3.2 | 15.0 | |
| 18 | 1:3200 | FG, N | ++ | ++ | 6.1 | 11.8 | |
| 19 | n.d. | n.d. | - | ++ | 7.1 | 19.4 | |
| 20 | 1:320 | N | - | + | 2.1 | 5.6 | |
| 21 | n.d. | n.d. | +++ | ++ | 4.1 | 12.8 | |
| 22 | 1:10000 | FG | - | + | P38 | 0.7 | 1.5 |
| 1:10000 | SPA | ||||||
| 23 | 1:1000 | N | n.d. | n.d. | 0.5 | 2.7 | |
| 24 | n.d. | n.d. | ++ | +++ | 18.2 | 34.7 | |
| 25 | 1:10000 | N | n.d. | n.d. | P38 | 0.5 | 2.0 |
| 1:1000 | Rib | ||||||
| 26 | 1:1000 | N | n.d. | n.d. | 1.9 | 8.4 | |
| 27 | n.d. | n.d. | + | ++ | 5.9 | 19.4 | |
| 28 | n.d. | n.d. | ++ | +++ | 20.9 | 37.3 | |
| 29 | 1:1000 | Hom | n.d. | n.d. | Ku86, Cen, M2 | 0.6 | 0.8 |
| 1:100 | N* | ||||||
| 30 | 1:1000 | N | - | + | 0.6 | 1.4 | |
| 31 | 1:3200 | Hom, N | - | - | 0.5 | 2.9 | |
| 32 | 1:3200 | N | - | - | 0.5 | 1.3 | |
| 33 | 1:320 | FG, N | + | ++ | 7.2 | 25.7 | |
| Number positive/tested | 26/29 | 17/29 | 27/29 | 26/33 | 32/33 | ||
-, negative; +, weak positive; ++, positive; +++, strong positive; n.d., not determined; FG, fine granular; Hom, homogenous; SPA, spindle apparatus; N, nucleoli; AMA, anti-mitochondrial antibodies; Cen, centromere; Rib, ribosomal. * Primate liver.
Figure 1Correlation diagrams of PM1-α, PM/Scl-75a, PM/Scl-75c and PM/Scl-100. A panel of sera tested previously for reactivity to recombinant polymyositis/scleroderma (PM/Scl) components (PM/Scl-75a, PM/Scl-75c and PM/Scl-100) was assayed for anti-PM1-α peptide reactivity in an ELISA [18]. Correlation diagrams are shown comparing the peptide ELISA with the recombinant proteins (a)–(c) for all sera (n = 81) and (b)–(f) for only the sera of PM/Scl patients (n = 36).
Correlation of anti-PM1-α and other known autoantibodies
| Number positive/all sera (% positive) | Number positive/PM1-α-positives (% positive) | Number positive/PM1-α-negatives (% positive) | ||
| Scl-70 | 0/28 (0) | 0/15 (0) | 0/13 (0) | * |
| Sm | 0/28 (0) | 0/15 (0) | 0/13 (0) | * |
| Rib-P | 1/28 (3.6) | 1/15 (6.7) | 0/13 (0) | * |
| RNP | 4/28 (14.4) | 1/15 (6.7) | 3/13 (23.1) | * |
| Chromatin | 1/28 (3.6) | 1/15 (6.7) | 0/13 (0%) | * |
| Ro-52 | 18/70 (25.7) | 6/19 (31.6) | 12/51 (23.5) | 0.7056 |
| Ro-60 | 6/70 (8.6) | 2/19 (10.6) | 4/51 (7.8) | 0.9018 |
| La | 3/70 (4.3) | 1/19 (5.3) | 2/51 (3.9) | 0.6766 |
| Mi-2 | 10/70 (14.3) | 3/19 (15.8) | 7/51 (13.7) | 0.8693 |
| Jo-1 | 16/70 (22.9) | 1/19 (5.2) | 15/51 (29.4) | 0.0688 |
* Not calculated due to the limited number of samples.
Results of ELISA using PM1-α peptide with polymyositis/scleroderma and various control sera
| Number (%) of anti-PM1-α-positive sera | Mean value/standard deviation | Top value | |
| Polymyositis/scleroderma ( | 22 (55) | 3.1/3.2 | 11.6 |
| Rheumatic disease controls ( | 33 (7.3) | 0.6/0.9 | 7.7 |
| Polymyositis ( | 3 (7.5) | 1.0/1.1 | 7.4 |
| Scleroderma ( | 27 (13.2) | 0.9/1.2 | 7.5 |
| Rheumatoid arthritis ( | 0 (0) | 0.3/0.2 | 1.1 |
| Mixed connective tissue disease ( | 0 (0) | 0.4/0.1 | 0.6 |
| Undifferentiated connective tissue disease ( | 0 (0) | 0.3/0.0 | 0.4 |
| Systemic lupus erythematosus ( | 3 (2.6) | 0.5/0.7 | 7.7 |
| Other rheumatic diseases ( | 0 (0) | 0.3/0.1 | 0.6 |
| Hepatitis C virus ( | 2 (4.2) | 0.5/0.5 | 2.6 |
| Organ specific disorders ( | 0 (0) | 0.4/0.2 | 0.8 |
| Hashimoto thyroiditis ( | 0 (0) | 0.3/0.2 | 0.8 |
| Grave's disease ( | 0 (0) | 0.4/0.2 | 0.8 |
| Healthy individuals ( | 0 (0) | 0.6/0.2 | 0.7 |
Figure 2Receiver operating characteristic analysis of the PM1-α ELISA. Results obtained from three centers and based on 567 patients including polymyositis/scleroderma (PM/Scl) patients (n = 40), Scl patients (n = 205) and PM patients (n = 40) as well as other controls were used to calculate a receiver operating characteristic analysis (a) for all control samples and (b) for unrelated controls (without Scl and PM). The curve shows a clear discrimination between PM/Scl patient samples and various controls as emphasized by an area under the curve value of 0.901 (all controls) and 0.958 (unrelated controls). The differentiation between PM/Scl patients and controls was significantly improved when Scl patients and PM patients were excluded from the control group (b). SE, standard error.
Figure 3Reactivity of polymyositis/scleroderma (PM/Scl) patients and controls in the PM1-α ELISA. Results obtained from three centers and based on 567 patients including PM/Scl patients (n = 40), Scl patients (n = 205) and PM patients (n = 40) as well as other controls were used to calculate comparative descriptive analysis. The diagram shows a significantly increased reactivity of the PM/Scl sera compared with the control groups. Comparative descriptives show vertical box-plots for each sample, side by side for comparison. The blue line series shows parametric statistics: diamond, mean and the requested confidence interval around the mean; notched line, requested parametric percentile range. The notched box and whiskers show non-parametric statistics: notched box, median, lower and upper quartiles, and confidence interval around the median; dotted line, connects the nearest observations within 1.5 interquartile ranges (IQR) of the lower and upper quartiles. + and ○, possible outliers – observations more than 1.5 IQR (near outliers) and more than 3.0 IQR (far outliers) from the quartiles. Vertical lines, requested nonparametric percentile range. SLE, systemic lupus erythematosus; HCV, hepatitis C virus; RA, rheumatoid arthritis.