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Article

Detection of Myositis Autoantibodies by Multi-Analytic Immunoassays in a Large Multicenter Cohort of Patients with Definite Idiopathic Inflammatory Myopathies

1
Rheumatology Unit, Department of Medicine-DIMED, University Hospital of Padova, 35128 Padova, Italy
2
Rheumatology Unit, Department of Clinical and Biological Sciences, Mauriziano Hospital, University of Turin, 10124 Turin, Italy
3
Unit of Laboratory Medicine, Department of Medicine-DIMED, University Hospital of Padova, 35128 Padova, Italy
4
Rheumatology Unit, Department of Medicine, Karolinska University Hospital in Solna, Karolinska Institutet, 171 77 Stockholm, Sweden
5
Werfen Autoimmunity, San Diego, CA 92131, USA
*
Author to whom correspondence should be addressed.
Diagnostics 2023, 13(19), 3080; https://doi.org/10.3390/diagnostics13193080
Submission received: 31 August 2023 / Revised: 22 September 2023 / Accepted: 25 September 2023 / Published: 28 September 2023
(This article belongs to the Special Issue Recent Advances in Diagnosis and Treatment in Rheumatology)

Abstract

:
Background: The usefulness of myositis-specific autoantibodies (MSAs) and myositis-associated autoantibodies (MAAs) for the assessment of idiopathic inflammatory myopathies (IIMs) is acknowledged, but laboratory standardization remains a challenge. We detected MSAs/MAAs by multi-analytic line immunoassay (LIA) and particle-based multi-analyte technology (PMAT) in a multicenter cohort of patients with IIMs. Methods: We tested the sera from 411 patients affected with definite IIM, including 142 polymyositis (PM), 147 dermatomyositis (DM), 19 cancer-associated myositis, and 103 overlap myositis syndrome (OM), and from 269 controls. MSAs/MAAs were determined by 16Ags LIA in all sera, and anti-HMGCR by ELISA in 157/411 IIM sera and 91/269 control sera. The analytical specificity of LIA/HMGCR ELISA was compared with that of PMAT in 89 MSA+ IIM sera. Results: MSAs/MAAs were positive in 307/411 (75%) IIM patients and 65/269 (24%) controls by LIA (Odds Ratio 9.26, 95% CI 6.43–13.13, p < 0.0001). The sensitivity/specificity of individual MSAs/MAAs were: 20%/100% (Jo-1), 3%/99.3% (PL-7), 4%/98.8% (PL-12), 1%/100% (EJ), 0.7%/100% (OJ), 9%/98% (SRP), 5.6%/99.6% (TIF1γ), 4.6%/99.6% (MDA5), 8%/96% (Mi-2), 1.5%/98% (NXP2), 1.7%/100% (SAE1), 4%/92% (Ku), 8.5%/99% (PM/Scl-100), 8%/96% (PM/Scl-75), and 25.5%/79% (Ro52). Anti-HMGCR was found in 8/157 (5%) IIM patients and 0/176 (0%) controls by ELISA (p = 0.007). Concordance between LIA/HMGCR ELISA and PMAT was found in 78/89 (88%) samples. Individual MSAs detected by LIA were associated with IIM subsets: Jo-1 with PM and OM, PL-12 with OM, Mi-2, TIF1γ, and MDA5 with DM, SRP with PM, and PM/Scl-75/100 with OM (p < 0.001 for all). Conclusions: Since MSAs are mostly mutually exclusive, multi-specific antibody profiling seems effective for a targeted clinical-serologic approach to the diagnosis of IIMs.

1. Introduction

Idiopathic inflammatory myopathies (IIMs) are systemic autoimmune diseases characterized, as for other connective tissue diseases, by peculiar serum autoantibodies [1,2,3]. The clinical picture of IIM primarily involves muscles, skin, lungs, and joints. According to current classification criteria [4,5,6], major IIM forms can be defined: dermatomyositis (DM), polymyositis (PM), inclusion body myositis (IBM), overlap syndrome with myositis (OM), and cancer-associated myositis (CAM). Anti-synthetase syndrome (ASyS) is a composite syndrome not definitely classified in any of those subsets, but patients with ASyS are usually classified into PM or OM. Autoantibodies towards intracellular proteins have been reported in 60–80% of patients with IIMs, depending on patient selection and laboratory detection methods.
Despite significant progress in biomarker research, novel diagnostic and prognostic biomarkers for myositis remain a relevant unmet need.
Over the last 15 years, increasing interest has been devoted to extensive autoantibody profiling in the diagnostic workup of IIMs [7,8].
Looking at diagnostic specificity, myositis-specific antibodies (MSAs) include mutually exclusive autoantibodies specific for the diagnosis of IIMs, whilst myositis-associated antibodies (MAAs), frequently present in association with MSAs, are not disease-specific.
Current classification criteria for IIMs [4,5] only include anti-Jo-1 antibody as an established biomarker for PM/DM, since laboratory diagnostics for the other MSAs are not widely applied, validated, and standardized [9,10,11]. Yet, a longstanding debate remains about the inclusion of the other MSAs/MAAs in the diagnostic workup of patients with IIMs [12].
Myositis autoantibodies target intracellular constituents, preferentially expressed in the cytoplasm rather than in the nucleus of the cell. Immune targets encompass highly conserved enzymes involved in key processes of cell biology, such as protein synthesis/transport, epigenetic regulation of gene transcription, innate immunity, muscle cell metabolism, and differentiation. They are constitutive intracellular ribonucleoproteins, but some of them are expressed in specialized tissues only, i.e., muscle-specific, as is the case of 3-hydroxy-3-methylglutaryl-Coenzyme A reductase (HMGCR), cytosolic 5′-Nucleotidase 1A (cN-1A), and Four-and-a-half-LIM-domain 1 (FHL1), or in response to peculiar stimuli, as for IFN-induced Melanoma Differentiation-Associated Antigen 5 (MDA5) (Table 1).
Each MSA is reliable to identify unique syndromes in the context of clinically defined PM, adult or juvenile DM, ASyS, and necrotizing or severe myopathy or sporadic IBM, representing a powerful tool to improve diagnosis, classification, and targeted treatment options [13,14,15]. Interestingly, intracytoplasmic enzymes involved in protein synthesis and transportation are the main targets of autoantibodies in PM, while autoantibodies associated with clinically different DM phenotypes target the nuclear transcription factors involved in epigenetic regulation of cellular homeostasis (Table 1).
Major MAAs, including anti-Ro52, anti-PM/Scl-75/100, anti-Ku, and anti-U1RNP, are reported in 20–50% of patients with IIMs and are thus helpful for diagnosis. They are mainly associated with overlap syndrome, a condition characterized by peculiar serologic and histologic features [16,17]. The most frequent MAA is anti-Ro52/TRIM21, found in about 30% of patients and mainly coexistent with anti-tRNA synthetase (ARS) or anti-MDA5 [17]. Anti-PM/Scl, anti-Ku, and anti-U1RNP are each found in about 4–15% of overlap syndrome patients [14,18]. Anti-PM-Scl or anti-Ku are most commonly associated with PM/DM and systemic sclerosis overlap syndrome, also called sclero-myositis, frequently complicated by interstitial lung disease [17]. Anti-U1RNP is frequent in PM/DM/SLE overlap syndrome and pathognomonic of mixed connective tissue disease. Recently, overlap myositis (OM) has been defined as a stand-alone entity, with peculiar phenotypes, serology, and muscle histopathology [18].
Actually, when IIMs are suspected, both MSAs and MAAs play a pivotal role in the assessment of diagnosis and prognosis [7], and therefore the treatment of the disease [18,19,20].
Due to wide antigen heterogeneity and poor expression in crude cell extracts, indirect immunofluorescence on HEp-2 cells or other routine tests are poorly sensitive and so inaccurate for myositis antibody detection. However, cytoplasmic staining should be looked for and reported in such patients.
The “reference” method to detect MSAs and identify new antibody reactivity is immunoprecipitation (IP) of radiolabeled proteins. Besides the discouraged/abandoned use of radioisotopes for protein labeling, several MSAs often show positive polypeptide bands of 140–150 kDa by IP, including anti-NXP2, anti-Mi-2, anti-MDA5, anti-TIF1γ, and anti-OJ antibodies, as it is difficult to distinguish these antibodies by molecular weight only [9]. IP is informative for research purposes, yet not for routine laboratory settings, being time-consuming, technically complex, and not applicable on large scales. Recently, complex (anti-OJ) or novel ARS have been investigated with new accurate methods, such as mass spectrometry coupled with IP or IP–Western blotting [21,22,23,24].
Over the years, commercial multi-parametric immunoassays have been developed for routine diagnostic work-up [25,26,27,28]. Line immunoassay (LIA) or dot-immunoassay, antigen-specific enzyme-linked immunosorbent assay (ELISA), multiplex quantitative immunoassays, i.e., ALBIA/Luminex technology, and fully automated particle-based multi-analyte technology (PMAT) represent reliable alternatives to cumbersome IP [29,30] (Table 2).
The harmonization and validation of methods on large multicenter cohorts has been recommended for diagnostic work-up [9,29,30].
The aim of our study was to investigate the MSA/MAA profile in a large multicenter cohort of patients with definite IIM by means of LIA, and assess MSA clinical correlates in the context of high pre-test probability of disease. In addition, the study aims to estimate the concordance (focus on analytical specificity) between LIA and PMAT for the detection of MSAs.

2. Materials and Methods

2.1. Patient Cohort

We carried out a retrospective cross-sectional study on consecutive Caucasian patients who received a diagnosis of definite IIM from January 2010 to September 2022 at the Rheumatology Unit, University-Hospital of Padova, Italy, and the Rheumatology Unit, Department of Medicine, Solna, Karolinska Institute, Stockholm, Sweden. We collected the sera from 411 adult patients affected with definite IIM according to the 2017 EULAR/ACR criteria [4,5,6], including 142 PM, 147 DM, 19 CAM, and 103 OM. Sixty-six out of one hundred and three OM (64%) had ASyS [31,32]. The sera from 57 sex–age-matched healthy subjects and 212 consecutive Caucasian patients with other diseases (11 non-autoimmune myopathy, 27 muscular dystrophy, 9 undifferentiated connective tissue disease, 90 systemic lupus erythematosus, 40 systemic sclerosis, 24 Sjögren’s syndrome, and 11 non-inflammatory myopathy or arthropathy) were tested as controls. Serum samples were stored at −80 °C until testing.
The study was approved by the Local Ethics Committee (Comitato Etico per la Sperimentazione dell’Azienda Ospedaliera di Padova, Prot. No. 2542P), and informed consent was obtained from all the subjects according to the Declaration of Helsinki.

2.2. Autoantibody Testing

MSAs and MAAs were determined by commercial line immunoassay (LIA, Euroline® Myositis profile 3, 16 Ags, Euroimmun, Lübeck, Germany; Mi-2α, Mi-2β, TIF1γ, MDA5, NXP2, SAE1, Ku, PM-Scl100, PM-Scl75, Jo-1, SRP, PL-7, PL-12, EJ, OJ, Ro52). In brief, purified antigens were coated as narrow lines on nitrocellulose chips, and immobilized on strips. After blocking of nonspecific binding sites with 5% nonfat milk in Tris-buffer/0.05% Tween 20 (TBS-Tween) for 30 min at room temperature (RT), each strip was incubated with 1:101 diluted serum samples in 5% milk/TBS-Tween for 30 min at RT. After three washes, the strips were incubated with 1:1000 diluted horseradish peroxidase-conjugated rabbit anti-human IgG (30 min at RT). After washing, bound enzyme was detected by reaction with 0.015% 4-chloro-1-naphthol 0.015% hydrogen peroxide in 16.7% methanol in TBS for 10 min at RT. Finally, the strips were washed in water and air-dried between sheets of filter paper, and the reactions were digitally scanned and semi-quantitatively measured by EuroLineScan®.
Anti-HMGCR antibodies were detected by commercial ELISA using human recombinant full-length HMGCR protein (QUANTA Lite HMGCR assay, Inova Diagnostics, San Diego, CA, USA) in 157/411 IIM sera and in 176/269 controls, according to the manufacturer’s instructions.
For comparison with a new PMAT, 89/411 IIM sera with at least one positive MSA (PL-7 = 4, PL-12 = 10, EJ = 1, HMGCR = 6, SAE1 = 4, Mi-2α/β = 13, TIF1γ = 18, MDA5 = 10, NXP2 = 4, and SRP = 19) were tested using the Aptiva™ instrument (Inova Diagnostics, San Diego, CA, USA) and the Aptiva Autoimmune Myopathy IgG™ reagents (Inova Diagnostics, San Diego, CA, USA, Research Use Only: PL-7, PL-12, EJ, Mi-2ß, TIF1γ, SAE, MDA5, NXP2, HMGCR, SRP54, PM-Scl-100), according to the manufacturer’s instructions [27,28]. Briefly, covalently bound antigens were coupled to paramagnetic particles that carry unique signatures and incubated with 1:100 diluted serum samples. After 9.5 min incubation at 37 °C, particles were washed and incubated for 9.5 min at 37 °C with anti-human IgG conjugated to phycoerythrin to label the bound autoantibodies. After the final wash cycle, the median fluorescence intensity (MFI) on the particles was captured using a digital imager and analyzed using proprietary algorithms to extract meaningful information for each analyte. Cut-off values of the different tests used, expressed as Arbitrary Units (AU)/mL, were those recommended by the manufacturers (11 AU LIA, 20 units HMGCR ELISA, 100 AU PMAT).

2.3. Statistical Methods

Data were statistically analyzed by SPSS 28.0 and GraphPad Prism 8.4. Differences in frequencies of dichotomous variables were analyzed by chi-square test or Fisher’s exact test. Pearson’s test was used to evaluate the correlation between MSA levels detected by LIA and PMAT assays. p values below 0.05 were considered statistically significant.

3. Results

The main demographic and clinical features of patients with IIMs have been reported in Table 3.
The main demographic and clinical features of control patients (n = 212) have been reported in Supplementary Table S1.
The prevalence of ANA > 1:80 and anti-ENA antibodies in IIM patients were, respectively, ANA 108/411 (26%), anti-ENA 110/411 (26.8%), comprising anti-Ro/SSA 106/411 (26%), anti-U1RNP 4/411 (1%), and anti-La/SSB 3/411 (0.7%).
By LIA, MSAs/MAAs were positive in 307/411 (75%) IIM patients and in 65/269 (24%) controls (p < 0.0001, Odds Ratio (OR) 9.26, 95% CI 6.43–13.13, LR+ 3.091, PPV 0.82, NPV 0.66). MSA/MAA positivity was found in 14/57 (24.6%) healthy subjects and in 51/212 (24.0%) diseased controls. Anti-HMGCR was found in 8/157 (5%) IIM patients and 0/176 (0%) controls by ELISA (p = 0.007, OR 9.4, PPV 1.00, NPV 0.54). The prevalence of individual MSAs in IIM patients ranged from 0.7% for OJ to 20% for Jo-1 (for details see Figure 1).
MAAs were positive in 145/411 (35.3%) IIM patients and 77/269 (28.6%) controls (p = n.s.), of which anti-Ro52 was positive in 105/411 (25.5%) IIM patients and 56/269 (21%) controls (p = n.s.).
Representative images of positive results with anti-NXP2, anti-SRP, and anti-PL-7 serum samples by LIA are visualized in Supplementary Figure S1.
The specificity of individual MSAs/MAAs was: ≥99% (Jo-1, TIF1γ, PL-7, MDA5, PM/Scl-100, HMGCR, PL-12, Mi-2β, SAE), 98% (SRP, NXP2), 96% (Mi-2α, PM/Scl-75), 92% (Ku), and 79% (Ro52). No controls were positive for anti-EJ, anti-OJ, or anti-SAE (Table 4).
By LIA, multiple MSA positivity was found in 33/411 (8%) IIMs and in 17/269 (6%) controls (p = n.s.).
The comparison between LIA/HMGCR ELISA and PMAT in 89 MSA-positive IIM patients (PL-7 = 4, PL-12 = 10, EJ = 1, HMGCR = 6, SAE1 = 4, Mi-2α/β = 13, TIF1γ = 18, MDA5 = 10, NXP2 = 4, and SRP = 19) showed concordance in 78/89 (88%) MSA-positive IIM sera (Figure 2).
The best concordance was obtained for SAE (4/4, 100%), NXP2 (4/4, 100%), SRP (19/19, 100%), EJ (1/1, 100%), PL-12 (10/10, 100%), followed by HMGCR (5/6, 83%), TIF1γ (15/18, 83%), Mi-2 (10/13, 77%), PL-7 (3/4, 75%), and MDA5 (7/10, 70%) (Figure 2). The discordant results between LIA and PMAT were the following: one ASyS (PL-7+ by LIA, negative by PMAT); one DM (Mi-2β+ by LIA, negative by PMAT); one PM (Mi-2α+ by LIA, negative by PMAT); one DM (Mi-2α/β+ by LIA, negative by PMAT); one DM (Mi-2α/β+ by LIA, negative by PMAT); one DM (negative by LIA, TIF1γ+ by PMAT, 592 AU); one DM (Mi-2α/β+ by LIA, TIF1γ+ by PMAT, 1804 AU); one OM (MDA5+ by LIA, negative by PMAT); one ASyS (negative by LIA, MDA5+ by PMAT, 4039 AU); one ASyS (EJ+ by LIA, MDA5+ by PMAT, 3388 AU); and one PM (PL-7+ by LIA, HMGCR+ by PMAT, 5900 AU). The PMAT assay we used did not include Jo-1, OJ, and Ku target antigens.
LIA semi-quantitative levels of positivity (AU/mL) and PMAT semi-quantitative values (AU/mL) in concordant positive samples (n = 78) were largely correlated (r = 0.56, 95% CI 0.39 to 0.70, R2 0.32, p < 0.0001). As visualized in Supplementary Figure S2, a sort of bimodal distribution of LIA antibody levels was observed.
Multiple positivity was found in 8/89 (9.0%) samples by LIA and 3/89 (3.4%) by PMAT (p = n.s.) (Table 5).
Individual MSAs, detected by LIA, were confirmed to be significantly associated with distinct IIM subgroups: Jo-1 with PM and OM (p < 0.001), PL-12 with OM (p < 0.001), Mi-2 with DM (p < 0.001), SRP with PM (p < 0.001), TIF-1γ with CAM and DM (p < 0.001), MDA5 with DM (p < 0.001), and PM/Scl with OM (p < 0.001) (Figure 3). As expected, anti-Ro52 and anti-Ku were not associated with distinct IIM subsets (p = n.s.).

4. Discussion

To date, the present study estimated the accuracy of multi-analytic LIA for the detection of MSAs/MAAs in the largest cohort of patients with definite IIM. High pre-test probability of disease was the condition specifically assessed in the study, as recommended by Bonroy C. et al. [30].
As MSAs are defined as “mutually exclusive”, their simultaneous detection in serum samples by multi-analytic testing is recommended for diagnostic purposes [33].
The difficulties of approaching MSA diagnostics by IP have prompted more feasible and automatized multi-specific assays. Concordance between IP and solid-phase immunoassays can be influenced by several factors: analytical accuracy, antigen purification and folding, proper equipment and procedures, and standardization limits. In solid-phase immunoassays, human recombinant full-length proteins as targets are expressed in different systems (Escherichia coli, Baculovirus-infected insect Sf9 cells or human HEK293 cells), immobilized on nitrocellulose chips, and specific antibody detection revealed by enzyme-linked chromogenic, chemiluminescent, or fluorescent detection systems. In contrast, IP typically investigates native ribonucleoprotein moieties in immuno-precipitates after liquid-phase incubation of serum with cell lysates, thus preserving conformational epitopes and antibody recognition. Nevertheless, IP’s complex and time-consuming nature largely limits its application in routine diagnostics.
LIA is the most widely used IVD (In Vitro Diagnostic Use) multi-analytic immunoassay for MSA detection, both in clinical and research settings (Table 2) [34].
Since the first validation of LIA for MSA [25], multi-specific testing has been implemented by virtue of novel targets and accuracy adjustment [26,27,28,29,34,35].
In the present study, extensive MSA/MAA profiling by third-generation LIA confirmed the diagnosis in 75% of patients with definite IIM, a frequency higher than 62%, found in 267 IIM patients by using second-generation LIA [25]. These promising results are mainly due to the high pre-test probability of IIM and the inclusion of anti-Ro52 and anti-HMGCR as clinically useful biomarkers. Ro52 protein is an E3 ubiquitin ligase involved in type I interferon responses, highly expressed in lymphoid tissues and lungs. Although not disease-specific, anti-Ro52/TRIM21 antibody is a highly frequent and established prognostic biomarker, being an independent risk factor for disease severity and relapse in connective tissue diseases, and of lung involvement in patients with IIMs [36,37,38,39]. In addition, the inclusion of anti-HMGCR has demonstrated high diagnostic accuracy due to mutually exclusive presence in 5% of IIM patients and 0% of healthy and disease controls. Anti-HMGCR and anti-SRP are independent biomarkers of immune-mediated necrotizing myopathy (IMNM), each accounting for 2/3 of IMNM patients, and involved in disease pathogenesis [40]. Novel automated assays for anti-HMGCR, including ELISA, chemiluminescence, and ALBIA, all demonstrated high diagnostic specificity and good agreement with IP [41,42,43,44].
Multi-parametric solid-phase assays could also have limitations, the main drawbacks being false positive results, e.g., anti-TIF1γ or anti-NXP2, multiple positivity, and cross-reactivity [45,46,47]. Regarding “multiple positivity”, according to our findings, it mainly occurs by LIA, and PMAT assay offers the great advantage of quantitatively measuring antibody level and identifying the highest antibody reactivity in samples with multiple positivities, as seen in Supplementary Figure S2.
Similar to other diagnostic areas, multi-parametric solid-phase assays could suffer from low reliability in low pre-test likelihood of IIM [48]. LIA and PMAT are both multi-analytic immunoassays that could give “false positives”, even in standard conditions, due to autoantibody polyclonality. Antibody titer quantification could be promising for this concern [49].
The high concordance between LIA and HMGCR/ELISA with PMAT, together with the valuable semi-quantitative estimation of antibody levels by PMAT (Figure 2 and Figure S2), represents a promising perspective for PMAT in the diagnostic work-up of IIMs, as recently suggested by Choi MY et al. [11].
The limitations of the study are that the LIA we used did not include HMGCR, and the “previous generation” PMAT panel we applied at the time of the study did not include both Jo-1 and OJ. Furthermore, the concordance between LIA and PMAT was investigated only in MSA-positive samples, in order to assess reciprocal analytical specificity and not clinical accuracy.

5. Conclusions

Multi-analytic detection of MSAs/MAAs is feasible in diagnostics, and crucial for supporting the diagnosis of IIMs in the context of high pre-test likelihood of IIM. Due to the mutual exclusivity of MSAs, extended antibody profiling is strictly effective for targeted clinical-serologic approaches to IIM clinical settings.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/diagnostics13193080/s1, Table S1: Demographics and clinical features of the control patients (n = 212); Figure S1: Representative image with positive results by line immunoassay: (a) anti-NXP2 serum; (b) anti-SRP serum; (c) anti-PL-7 serum; Figure S2: Correlation between line immunoassay (LIA) semi-quantitative positivity (AU/mL) and particle-based multi-analyte technology (PMAT) semi-quantitative positivity (AU/mL) in 78 concordant positive IIM sera.

Author Contributions

Conceptualization, A.G.; Methodology, A.G., C.F. and N.G.; Formal analysis, A.G.; Investigation, M.Z.; Data curation, A.G., M.G., E.Z., R.P., L.I. (Luana Ienna), N.G., M.Z. and M.M.; Writing—original draft, A.G.; Writing—review & editing, M.G., I.E.L., M.M., A.D. and L.I. (Luca Iaccarino); Supervision, A.D. and L.I. (Luca Iaccarino); Funding acquisition, A.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Italian Ministry for Education, University and Research (Ministero dell’Istruzione, dell’Università e della Ricerca—MIUR) under the program ‘Dipartimenti di Eccellenza 2018–2022: Progetto DIMAR 2018–2022′.

Institutional Review Board Statement

The study was approved by Azienda Ospedaliera di Padova (protocol code 2542P and date of approval 16 June 2012).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

Michael Mahler is an employee of Werfen.

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Figure 1. Frequency of myositis-specific antibodies (MSAs) and myositis-associated antibodies (MAAs) (number, percentual values) in 411 patients affected with definite idiopathic inflammatory myopathies (IIMs), detected by line immunoassay (LIA). Anti-HMGCR was determined in 157/411 IIMs by enzyme-linked immunosorbent assay (ELISA).
Figure 1. Frequency of myositis-specific antibodies (MSAs) and myositis-associated antibodies (MAAs) (number, percentual values) in 411 patients affected with definite idiopathic inflammatory myopathies (IIMs), detected by line immunoassay (LIA). Anti-HMGCR was determined in 157/411 IIMs by enzyme-linked immunosorbent assay (ELISA).
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Figure 2. Individual myositis-specific antibody (MSA) positivity detected in 89 IIM sera by particle-based multi-analyte technology (PMAT): concordance/discordance with line immunoassay (LIA) and HMGCR ELISA results are depicted. Filled dots are concordant results between the methods, and open dots are discordant results between the methods.
Figure 2. Individual myositis-specific antibody (MSA) positivity detected in 89 IIM sera by particle-based multi-analyte technology (PMAT): concordance/discordance with line immunoassay (LIA) and HMGCR ELISA results are depicted. Filled dots are concordant results between the methods, and open dots are discordant results between the methods.
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Figure 3. Clinical associations of myositis autoantibodies detected by line immunoassay (LIA) with IIM subgroups. The frequency of individual antibodies in the different IIM subsets is depicted. ** p < 0.001.
Figure 3. Clinical associations of myositis autoantibodies detected by line immunoassay (LIA) with IIM subgroups. The frequency of individual antibodies in the different IIM subsets is depicted. ** p < 0.001.
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Table 1. Myositis-specific antibodies and myositis-associated antibodies: target autoantigens and associated IIM phenotypes.
Table 1. Myositis-specific antibodies and myositis-associated antibodies: target autoantigens and associated IIM phenotypes.
Myositis-Specific Antibodies
AutoantibodyTarget AutoantigenAutoantigen FunctionAssociated Phenotype
Anti-ARSAminoacyl-tRNA synthetases: Jo-1, PL7, PL12, EJ, OJ, and othersProtein synthesisPM/DM, ASyS
Anti-Mi-2Nuclear DNA helicaseTranscription regulationBenign DM
Anti-TIF1γTranscriptional Intermediary Factor 1-γTranscription and RNA metabolismSevere DM, CAM
Anti-NXP2Nuclear matrix Protein 2Transcription repression p53 activationJDM, adult DM, CAM
Anti-MDA5Melanoma Differentiation-Associated protein 5 (IFN-induced)Innate immune response to viral infectionSevere DM-ILD, CADM, JDM
Anti-SAESUMO 1 Activating Enzyme 1Transcription regulation Post-translational modificationDM, CADM
Anti-SRPSignal Recognition Particle: cytoplasmic translocation factorProtein transportIMNM
Anti-HMGCR3-Hydroxy-3-Methylglutaryl-CoA Reductase (muscle-specific)Cholesterol synthesisIMNM (statin-induced)
Anti-cN-1ACytosolic 5′-Nucleotidase 1A (muscle-specific)Muscle metabolism, RNA processingsIBM
Anti-FHL1Four-and-a-Half LIM protein 1 (muscle-specific)Muscle-differentiation, sarcomere assemblySevere myopathy with dysphagia
Myositis-Associated Antibodies
AutoantibodyTarget AutoantigenAutoantigen FunctionAssociated Phenotype
Anti-Ro52TRIM21 (IFN-induced)Ubiquitination (IFNα regulation)ASyS, PM, DM
Anti-PM/SclRibonuclease (PM/Scl-100, PM/Scl-75 subunits)Exosome complexSSc-myositis overlap
Anti-KuDNA-binding proteindsDNA break repairSSc-myositis overlap
Anti-U1RNPU1 ribonucleoproteinPre-mRNA splicingPM/DM/SLE overlap, MCTD
Footnotes: ARS: anti-RNA synthetase; PM: polymyositis; DM: dermatomyositis, ASyS: Antisynthetase syndrome; ILD: interstitial lung disease; CADM: clinically amyopathic dermatomyositis; JDM: juvenile dermatomyositis, CAM: cancer-associated myositis; SUMO: Small-ubiquitin-like modifier; IMNM: immune-mediated necrotizing myopathy; sIBM: sporadic inclusion body myositis; SSc: systemic sclerosis; SLE: systemic lupus erythematosus; MCTD: mixed connective tissue disease.
Table 2. Analytical characteristics of current commercial multi-analytic immunoassays for the detection of myositis autoantibodies.
Table 2. Analytical characteristics of current commercial multi-analytic immunoassays for the detection of myositis autoantibodies.
ProcedureCompanyTarget AutoantigensAntigen SourceSerum DilutionCut-Off (Arbitrary Units/mL) Results
Interpretation
Laboratory Application
(IVD/RUO)
Line immunoassayEUROLINE® Euroimmun (Lübeck, Germany)Mi-2α, Mi-2β, TIF1γ, MDA5, NXP2, SAE1, Ku, PM-Scl100, PM-Scl75, Jo-1, SRP, PL-7, PL-12, EJ, OJ, Ro-52Recombinant, human; Affinity purified (Jo-1, MDA5)1:10111 AUDigital,
semi-quantitative
IVD
Dot-immunoassayD-tek®/Alphadia
(Mons, Belgium)
Jo-1, PL-7, PL-12, EJ, SRP-54, Mi-2, MDA-5, TIF1-γ, Ku, PM-Scl 100, Scl-70,
SSA/Ro, SAE-1, SAE-2, NXP-2, OJ, KS, ZO
Recombinant, human1:15010 AUDigital,
semi-quantitative
IVD
PMATAutoimmune Myopathy IgG™
(Inova Diagnostics, San Diego, CA, USA)
Jo-1, PL-7, PL-12, EJ, OJ, Mi-2ß, TIF1γ, SAE, MDA5, NXP2, HMGCR, SRP54Human recombinant1:2001 AUDigital, quantitativeRUO
Line immunoassayImmcoStripe™ Myositis LIA,
Trinity Biotech
(Buffalo, NY, USA)
PM-Scl100, PM-Scl75, Ro-52, Jo-1, Mi-2, Ku, PL7, PL12, SRP54, U1RNP68, U1RNP A, U1RNP C, EJ, OJNot specified1:100Neg, Borderline, PosVisual, qualitativeIVD
Line immunoassayMyositis Plus,
Orgentec (Mainz, Germany)
AMA-M2, Jo-1, PM-ScI-100, PL-7, PL-12, Mi-2, Ku (p70/80), SRP, Rib-PAffinity purified1:100Neg, Weak pos, PosVisual,
semi-quantitative
IVD
Footnotes: IVD: In Vitro Diagnostic Use; RUO: Research Use Only; PMAT: particle-based multi-analyte technology; Pos: positive.
Table 3. Main demographic and clinical features of patients affected with definite idiopathic inflammatory myopathies (IIMs) (n = 411).
Table 3. Main demographic and clinical features of patients affected with definite idiopathic inflammatory myopathies (IIMs) (n = 411).
FeaturesPolymyositis
(n = 142)
Dermatomyositis (n = 147)Cancer-Associated Myositis
(n = 19)
Overlap Myositis (n = 103)
Sex Ratio (F/M)2.4 (102/42)2.2 (101/46)1.4 (11/8)11.9 (95/8)
Age at diagnosis, years (mean ± SD)52 ± 1651 ± 1864 ± 1048 ± 16
Proximal muscle weakness139 (98%)125 (85%)19 (100%)89 (86%)
CK Increase135 (95%)126 (86%)71 (69%)17 (89%)
Skin disease13 (9%)124 (84%)12(63%)22 (21%)
Dyspnea48 (34%)19 (13%)7 (37%)73 (71%)
Interstitial lung disease60 (42%)35 (24%)5 (28%)73 (71%)
Arthralgia/Arthritis86 (61%)54 (37%)9 (45%)89 (86%)
Raynaud’s Phen.48 (34%)27 (18%)2 (10%)46 (45%)
Dysphagia26 (19%)34 (23%)7 (37%)15 (14%)
Fever58 (41%)42 (28%)39 (38%)5 (26%)
Footnotes: CK: creatin phosphokinase; SD: standard deviation.
Table 4. Diagnostic accuracy of myositis-specific antibodies (MSAs) detected by line immunoassay (LIA) in patients with idiopathic inflammatory myopathies (IIMs) and controls.
Table 4. Diagnostic accuracy of myositis-specific antibodies (MSAs) detected by line immunoassay (LIA) in patients with idiopathic inflammatory myopathies (IIMs) and controls.
IIM
MSA
Sensitivity
n pos, % pos (95% CI)
Specificity
n pos, % pos, (95% CI)
Odds Ratio
(95% CI)
Jo-182/411
20 (16.4–24.1)
1/269
99.6 (97.9–99.9)
66.5
(12.5–673.8)
PL-712/411
2.9 (1.6–5.0)
2/269
99.3 (97.3–99.9)
4.0
(1.0–18.1)
PL-1216/411
3.9 (2.4–6.2)
3/269
98.8 (96.7–99.7)
3.6
(1.1–11.7)
EJ4/411
0.9 (0.4–2.4)
0/269
100.0 (97.9–100.0)
2.6
(0.4–32.3)
OJ3/411
0.7 (0.2–2.1)
0/269
100.0 (97.9–100.0)
1.9
(0.3–25.7)
Mi-233/411
8.0 (5.8–11.1)
11/269
95.9 (92.8–97.7)
2.0
(1.0–4.1)
TIF1γ23/411
5.6 (3.7–8.2)
1/269
99.6 (97.9–99.9)
15.9
(2.6–165.4)
MDA519/411
4.6 (2.9–7.1)
1/269
99.6 (97.9–99.9)
13.0
(2.3–136.3)
NXP26/411
1.5 (0.7–3.1)
5/269
98.1 (95.7–99.2)
0.8
(0.2–2.7)
SAE7/411
1.7 (0.8–3.4)
0/269
100.0 (97.9–100.0)
4.7
(0.6–52.7)
SRP38/411
9.2 (6.8–12.4)
5/269
98.1 (95.7–99.2)
5.4
(2.1–12.8)
HMGCR *8/157
5.1 (2.6–9.7)
0/176
100 (96.8–100.0)
9.4
(1.4–104.9)
Footnotes: * Anti-HMGCR antibody was detected by ELISA in 157 IIMs and 176 controls. MSAs = myositis-specific antibodies; LIA = line immunoassay; IIMs = idiopathic inflammatory myopathies.
Table 5. A 1:1 comparison of multiple positive results between the line immunoassay (LIA) and the particle-based multi-analyte technology (PMAT) in IIM patients’ sera (n = 11).
Table 5. A 1:1 comparison of multiple positive results between the line immunoassay (LIA) and the particle-based multi-analyte technology (PMAT) in IIM patients’ sera (n = 11).
Sample IDIIM Patients’ DiagnosisLIA Multiple PositivityPMAT Multiple Positivity
43DermatomyositisMDA5, PL-12, KuMDA5
50DermatomyositisTIF1γ, PM/Scl-75TIF1γ
55DermatomyositisMDA5, Mi-2βMDA5
64DermatomyositisMi-2αMi-2β, HMGCR
71DermatomyositisTIF1γ, Jo-1TIF1γ
89DermatomyositisPL-7, PM/Scl-75PL-7
73Antisynthetase syndromeOJ, NXP2, KuNeg
70PolymyositisKu, PM/Scl-75Neg
29DermatomyositisMi-2α/βMi-2β, TIF1γ, MDA5
86Antisynthetase syndromeEJMDA5, PL-12
56DermatomyositisSAE, PL-12SAE
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Ghirardello, A.; Gatto, M.; Franco, C.; Zanatta, E.; Padoan, R.; Ienna, L.; Gallo, N.; Zen, M.; Lundberg, I.E.; Mahler, M.; et al. Detection of Myositis Autoantibodies by Multi-Analytic Immunoassays in a Large Multicenter Cohort of Patients with Definite Idiopathic Inflammatory Myopathies. Diagnostics 2023, 13, 3080. https://doi.org/10.3390/diagnostics13193080

AMA Style

Ghirardello A, Gatto M, Franco C, Zanatta E, Padoan R, Ienna L, Gallo N, Zen M, Lundberg IE, Mahler M, et al. Detection of Myositis Autoantibodies by Multi-Analytic Immunoassays in a Large Multicenter Cohort of Patients with Definite Idiopathic Inflammatory Myopathies. Diagnostics. 2023; 13(19):3080. https://doi.org/10.3390/diagnostics13193080

Chicago/Turabian Style

Ghirardello, Anna, Mariele Gatto, Chiara Franco, Elisabetta Zanatta, Roberto Padoan, Luana Ienna, Nicoletta Gallo, Margherita Zen, Ingrid E. Lundberg, Michael Mahler, and et al. 2023. "Detection of Myositis Autoantibodies by Multi-Analytic Immunoassays in a Large Multicenter Cohort of Patients with Definite Idiopathic Inflammatory Myopathies" Diagnostics 13, no. 19: 3080. https://doi.org/10.3390/diagnostics13193080

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