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. 2020 Jul 7;95(1):e70–e78. doi: 10.1212/WNL.0000000000009727

Different phenotypes in dermatomyositis associated with anti-MDA5 antibody

Study of 121 cases

Yves Allenbach 1,*,, Yurdagul Uzunhan 1,*, Ségolène Toquet 1,*, Gaëlle Leroux 1, Laure Gallay 1, Alicia Marquet 1, Alain Meyer 1, Constance Guillaud 1, Nicolas Limal 1, Frédéric Gagnadoux 1, Baptiste Hervier 1, Raphaël Borie 1, Christophe Deligny 1, Benjamin Terrier 1, Alice Berezne 1, Sylvain Audia 1, Nicolas Champtiaux 1, Hervé Devilliers 1, Nicol Voermans 1, Elizabeth Diot 1, Amélie Servettaz 1, Thierry Marhadour 1, Vincent Castelain 1, Sébastien Humbert 1, Claire Blanchard-Delaunay 1, Nathalie Tieulie 1, Pierre Charles 1, Magdalena Gerin 1, Arsène Mekinian 1, Pascaline Priou 1, Jean Claude Meurice 1, Abdellatif Tazi 1, Vincent Cottin 1, Makoto Miyara 1, Benjamin Grange 1, Dominique Israël-Biet 1, Sophie Phin-Huynh 1, Camille Bron 1, Luc De Saint Martin 1, Nicole Fabien 1, Kubéraka Mariampillai 1, Hilario Nunes 1,, Olivier Benveniste 1,; the French Myositis Network1
PMCID: PMC7371381  PMID: 32487712

Abstract

Objectives

The predominance of extramuscular manifestations (e.g., skin rash, arthralgia, interstitial lung disease [ILD]) as well as the low frequency of muscle signs in anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) dermatomyositis caused us to question the term myositis-specific antibody for the anti-MDA5 antibody, as well as the homogeneity of the disease.

Methods

To characterize the anti-MDA5+ phenotype, an unsupervised analysis was performed on anti-MDA5+ patients (n = 83/121) and compared to a group of patients with myositis without anti-MDA5 antibody (anti-MDA5−; n = 190/201) based on selected variables, collected retrospectively, without any missing data.

Results

Within anti-MDA5+ patients (n = 83), 3 subgroups were identified. One group (18.1%) corresponded to patients with a rapidly progressive ILD (93.3%; p < 0.0001 across all) and a very high mortality rate. The second subgroup (55.4%) corresponded to patients with pure dermato-rheumatologic symptoms (arthralgia; 82.6%; p < 0.01) and a good prognosis. The third corresponded to patients, mainly male (72.7%; p < 0.0001), with severe skin vasculopathy, frequent signs of myositis (proximal weakness: 68.2%; p < 0.0001), and an intermediate prognosis. Raynaud phenomenon, arthralgia/arthritis, and sex permit the cluster appurtenance (83.3% correct estimation). Nevertheless, an unsupervised analysis confirmed that anti-MDA5 antibody delineates an independent group of patients (e.g., dermatomyositis skin rash, skin ulcers, calcinosis, mechanic's hands, ILD, arthralgia/arthritis, and high mortality rate) distinct from anti-MDA5− patients with myositis.

Conclusion

Anti-MDA5+ patients have a systemic syndrome distinct from other patients with myositis. Three subgroups with different prognosis exist.


Dermatomyositis (DM) is a heterogeneous group of autoimmune diseases, including disorders limited to the skin of patients, with extracutaneous manifestations, such as muscle, articular or pulmonary lesions, and sometimes with an association with malignancy.1 Myositis-specific autoantibodies permit the delineation of homogenous subgroups of DM.1,2 DM associated with anti–melanoma differentiation-associated gene 5 antibody (anti-MDA5+) is typically characterized by the presence of a DM skin rash and polyarthralgia and interstitial lung disease (ILD), whereas the clinical signs of myositis are frequently absent.1,35 Anti-MDA5+ DM has a high mortality rate related to the presence of rapidly progressive ILD (RP-ILD).1

The predominance and the variety of the extramuscular manifestations, as well as the absence of muscle symptoms, calls into question the term myositis-specific antibody for anti-MDA5 antibodies.

The anti-MDA5 antibody was identified in 2009,5 and a limited number of case reports and case series have been reported. Knowledge of the precise clinical phenotype and the prognosis of anti-MDA5+ patients is necessary to improve the management of this potentially severe disease.

To characterize the anti-MDA5+ phenotype, we analyzed the characteristics of a large group of patients (n = 121) and performed unsupervised analysis to detect subgroups with different prognoses among anti-MDA5+ patients. We also compared anti-MDA5+ patients with a group of myositis patients without anti-MDA5 antibody (anti-MDA5−; n = 201) to confirm the specificity of the phenotype.

Methods

Patients

Anti-MDA5+ patients were included in the study if they presented any of the following or a combination thereof: a DM skin rash compatible with DM, according to the European NeuroMusclar Center (ENMC) criteria6 or Sontheimer criteria7; myositis (pathologic features showing the presence of inflammatory infiltrates); arthralgia; or ILD, without other etiology. Anti-MDA5 antibody detection was performed using line-immunoassays (Euroimmun [Germany] or D-Tek [Belgium]). This multicenter observational study was performed on data available from 37 medical centers in France from 2011 to 2017. Medical records were reviewed retrospectively (Y.A., S.T., G.L., and Y.U.) to collect clinical, laboratory, and imaging data. ILD was defined based on CT imaging studies and RP-ILD was defined by the acute onset and rapid worsening within 3 months of the onset of respiratory symptoms leading to severe hypoxia ≤60 mm Hg. Early mortality was defined by death within 3 months of the diagnosis. As a control, a cohort of anti-MDA5− patients with myositis was used. All of the controls had myositis defined based on ENMC6 or Bohan and Peter criteria8 and were followed in one center (Pitié-Salpêtrière Hospital). The controls' characteristics are detailed in table e-1 (doi.org/10.5061/dryad.t39c4k1).

Standard protocol approvals, registrations, and patient consents

Agreement for the study was obtained from the French Ministry of Research (CCTIRS no. 14.323 and AC-2013-1868) and the study was approved by the Research Ethics Committee of the Pitié-Salpêtrière Hospital (Paris, France).

Statistics

Quantitative data (median [interquartile range]) and qualitative data (frequency and percentage) were described. Unsupervised descriptive methods of statistical learning were used to analyze either the anti-MDA5+ patients or the global cohort of patients with myositis (anti-MDA5+ and anti-MDA5−). A multiple correspondence analysis and hierarchical cluster analysis were used to resume the dataset and aggregate patients in subgroups, as previously reported.9 Only patients with an exhaustive set of data were included for the unsupervised analysis. The clustering of patients was unsupervised using Euclidean distance and the Ward agglomerative method. V test p values are represented for the variables that participated in the multidimensional analyses (see supplemental tables, doi.org/10.5061/dryad.t39c4k1).10 In addition, the Wilcoxon test was used to compare quantitative data and anti-MDA5 status (positive or negative), and Fisher exact test was used for qualitative data in the different groups (anti-MDA5 status [positive or negative]) or global association with the clusters obtained by hierarchical cluster analysis (tables 1 and 2).

Table 1.

Characteristics of 3 groups of anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) patients

graphic file with name NEUROLOGY2019975805TT1.jpg

graphic file with name NEUROLOGY2019975805TT1A.jpg

Table 2.

Comparison of anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) vs anti-MDA5− patients with myositis

graphic file with name NEUROLOGY2019975805TT2.jpg

To construct a decisional algorithm tree to position the patients in a cluster, we used classification and regression trees. A p value <0.05 was considered significant. For the survival analysis, Kaplan-Meier curves were performed on different patient subgroups and compared using log-rank tests. Statistical analyses were performed (R version 3.4.0 software and GraphPad Prism software).

Data availability

All supplementary data are available from the Dryad digital repository (doi.org/10.5061/dryad.t39c4k1). Further anonymized data can be made available to qualified investigators upon request to the corresponding author.

Results

Three MDA5+ patient subgroups

Anti-MDA5+ patients (n = 121) were mainly female, 49 years old (34–58), and Caucasian, but African origin was also frequent. As expected, most of the patients had a DM skin rash (71.2%), ILD (76.5%), and arthralgia (69%), whereas only one-third of patients had muscle weakness (table e-2, doi.org/10.5061/dryad.t39c4k1). Of note, 2 patients had concomitant myocarditis with severe cardiac failure.

We aimed to identify the phenotype variations within the anti-MDA5+ group (n = 83/121). The unsupervised hierarchical analysis tree that we positioned on the factorial map showed 3 clusters (figure 1, A and B). The characteristics of each cluster are reported in table 1.

Figure 1. Unsupervised analysis of anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) patients.

Figure 1

(A) The hierarchical cluster analysis of anti-MDA5+ patients showed 3 clusters (the variables included in the unsupervised analysis were sex, ethnicity, skin changes, typical dermatomyositis skin rash, mechanic's hands, skin ulcers, calcinosis, digital necrosis, sclerosis, Raynaud phenomenon, abnormal creatine kinase [CK] level, CK level, proximal muscle weakness, manual muscle testing score of the psoas [Medical Research Council score], arthritis/arthralgia, synovitis, dyspnea, interstitial lung disease [ILD], rapidly progressive ILD, resuscitation, deterioration of general status, malignancy, intensive care unit admission, malignancy within 3 years before or after the myositis diagnosis, and early mortality). (B) Multiple correspondence analysis confirmed the presence of 3 groups of anti-MDA5+ patients. All above-mentioned variables except intensive rapidly progressive ILD, care unit admission, and mortality were included in the classification algorithm regression tree analysis.

Cluster 1 (18.1%; n = 15) corresponded to patients with very severe lung disease (RP-ILD cluster). All patients had ILD, and all but one had RP-ILD (93.3%; V test p < 0.0001). Patients in this cluster were admitted to the intensive care unit (ICU) in 86.7% of cases (p < 0.0001). The early mortality rate was high (80%; V test p < 0.0001). The other main characteristic was that these patients frequently had mechanic's hands (73.3%; V test p = 0.006).

Cluster 2 (55.4%; n = 46) corresponds to a pure dermato-rheumatologic pattern (rheumatoid cluster). As for the RP-ILD cluster, patients in cluster 2 were mainly women and less frequently had skin lesions (82.6%; V test p = 0.03), digital necrosis (4.35%; p = 0.04), and the Raynaud phenomenon (10.9%; V test p < 0.0001) (table 1). Most patients in cluster 2 complained of arthralgia or arthritis (82.6%; V test p = 0.01). Signs of myositis (muscle weakness 15.2%; V test p = 0.0005 and increased creatine kinase [CK] level 21.7%; V test p < 0.0001), as well as RP-ILD (17.4%; V test p = 0.001), were infrequent, and no early death occurred in this group (V test p < 0.0001).

Cluster 3 (26.5%; n = 22) corresponded to patients with severe skin vasculopathy and an intermediate prognosis (vasculopathic cluster). Patients here were mainly male (72.7%; V test p < 0.0001). In addition to the classical DM skin rash, those patients frequently harbored signs of skin vasculopathy with the Raynaud phenomenon (81.8%; V test p < 0.0001), skin ulcers (77.3%; V test p = 0.0006), digital necrosis (31.8%; p = 0.001), and calcinosis (22.7%; V test p = 0.01). In addition, most patients had proximal weakness (68.2%; V test p < 0.0001) with increased CK levels in 63.6% (V test; p < 0.0001). Some of the patients in cluster 3 had RP-ILD (22.7%), and the early mortality rate was low (4.5% in the vasculopathic cluster).

Three different MDA5+ patients prognoses

We next analyzed the long-term survival of anti-MDA5+ patients depending on the 3 clusters (figure 2A). The analysis clearly confirmed a different prognosis between the clusters. The RP-ILD cluster had a very high mortality rate compared to patients in the rheumatic and vasculopathic clusters (p < 0.0001). Comparing patients in the rheumatic cluster to those in the vasculopathic cluster, it appeared that the prognosis was better (very good) in the rheumatic cluster than in the vasculopathic cluster (p = 0.01).

Figure 2. Anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) prognosis.

Figure 2

(A) The survival curves showed that cluster 1 (black) had a poor prognosis, cluster 2 (red) had a good prognosis, and cluster 3 (green) had a mild prognosis. (B) Pruned model of prediction without obvious signs of severity (the variables included in the classification algorithm regression tree analysis did not encompass obvious signs of severity [rapidly progressive interstitial lung disease (ILD), intensive care unit admission, and mortality], sex, ethnicity, skin changes, typical dermatomyositis skin rash, mechanic's hands, skin ulcers, calcinosis, digital necrosis, sclerosis, Raynaud phenomenon, abnormal creatine kinase [CK] level, CK level, proximal muscle weakness, manual muscle testing score of the psoas [Medical Research Council score], arthritis/arthralgia, synovitis, dyspnea, ILD, deterioration of the general status, malignancy, and malignancy within 3 years before or after the myositis diagnosis).

Finally, we aimed to easily position a participant in one of the 3 clusters. Classification and regression tree analysis was used as a predictive model to determine the items permitting us to classify a patient (figure 2B). Because we aimed to predict patient outcome, the variables related to obvious severity were removed (RP-ILD and ICU). The models including 3 variables Raynaud phenomenon, arthralgia/arthritis, and sex permits 83.3% correct estimation. Of note, adding the variable RP-ILD permits us to reach 91.6% correct estimation.

Comparison of anti-MDA5+ vs anti-MDA5− patients

Because we observed the different subgroups of anti-MDA5+ patients, we aimed to verify if anti-MDA5+ disease remains a separate entity within myositis. We compared anti-MDA5+ patients (n = 121) to anti-MDA5− myositis patients (n = 201) (table 2).

Compared to anti-MDA5− patients, anti-MDA5+ patients were more frequently African, more frequently had a DM skin rash, skin ulcers, calcinosis, mechanic's hands, ILD, and arthralgia/arthritis, and had a higher mortality rate (table 2). Anti-MDA5− patients had more severe myositis (based on muscle weakness and CK level).

Next, we performed an unsupervised hierarchical clustering analysis in a large group of patients with myositis (anti-MDA5+ and anti-MDA5− patients; n = 274/322) with 20 variables, including long-term mortality (table e-2, doi.org/10.5061/dryad.t39c4k1), but importantly not including anti-MDA5 antibody status. We clearly observed 2 clusters (figure 3 and figure e-1, doi.org/10.5061/dryad.t39c4k1). The hierarchical tree positioned on the factorial map showed that cluster 2 regrouped mainly anti-MDA5+ patients (87.5%; n = 84/96 vs 7.3%; n = 13/178; p < 0.0001) after having positioned the variable anti-MDA5. The anti-MDA5 antibody delineates an independent subgroup of patients from a large cohort of patients with myositis.

Figure 3. Unsupervised analysis of anti–melanoma differentiation-associated gene 5 antibody–positive (anti-MDA5+) and anti-MDA5− patients.

Figure 3

(A) Hierarchical cluster analysis of anti-MDA5+ patients and anti-MDA5− myositis patients without including the anti-MDA5 antibody status as variable (the variables included for the unsupervised analysis were sex, ethnicity, proximal muscle weakness, abnormal creatine kinase [CK] level, CK level, skin changes, typical dermatomyositis skin rash, mechanic's hands, skin ulcers, calcinosis, Raynaud phenomenon, arthritis/arthralgia, dyspnea, interstitial lung disease, and malignancy within 3 years before or after the myositis diagnosis). The analysis permitted the identification 2 main clusters. (B) Using multiple correspondence analysis, both clusters were positioned on the factor map of individuals, which confirmed that patients were segregated into 2 groups. When the variable anti-MDA5 was next positioned, it appeared that cluster 2 was mainly composed of anti-MDA5+ patients (87.1%).

Discussion

We report the phenotype of a large group of anti-MDA5+ patients. Overall, our observation confirmed previous studies showing that anti-MDA5+ patients present a DM skin rash with frequent signs of skin vasculopathy,3 frequent arthralgia/arthritis,4 and ILD with a high mortality rate.1

Using unsupervised analyses, we observed for the first time 3 distinct subgroups with different prognoses. The RP-ILD cluster with severe lung involvement and a poor prognosis corresponds to well-recognized anti-MDA5+ RP-ILD.1,5 In addition, we were able to isolate 2 new forms: anti-MDA5+ rheumatic DM, with a good prognosis, and anti-MDA5+ vasculopathic DM, with an intermediate prognosis. The algorithm decisional algorithm showed that only 3 variables (Raynaud phenomenon, arthralgia/arthritis, and sex) are good predictors for cluster appurtenance.

These observations and the large spectrum of disease manifestations suggest that the so-called anti-MDA5+ DM is rather a systemic syndrome (anti-MDA5+ syndrome) than a musculocutaneous disease.

This finding underlines the importance of anti-MDA5 antibody screening in patients with seronegative polyarthritis and patients with interstitial pneumonia, with a suspicion of autoimmune features,11 or ICU patients with acute respiratory distress syndrome of unknown origin. The prognosis related to the different clusters is also important regarding the treatment strategy and may suggest different pathophysiologic mechanisms.

The comparison of anti-MDA5+ patients with a large cohort of MDA5− patients showed that anti-MDA5+ syndrome remains a separate entity. Using unsupervised clustering analysis, we showed that the anti-MDA5+ antibody was independently and strongly associated with this phenotype. This result emphasizes the crucial role of myositis-specific antibodies to diagnose and delineate a subgroup of patients. However, the term myositis-specific antibody seems inappropriate, because many anti-MDA5+ patients are amyopathic.

The nationwide retrospective cohort study design we used is the main limitation of our work. The low frequency of the reported rheumatologic signs in the RP-ILD cluster could be due to a detection bias since the majority of patients were in the ICU. Nevertheless, patients in the RP-ILD cluster were also characterized by an increased CK level, whereas this was not the case for patients with the rheumatologic form in cluster 2.

Together, these data show that anti-MDA5+ patients are a distinct group from patients with myositis and have a systemic syndrome composed of 3 different entities with different prognoses. The anti-MDA5+ antibody is a key biomarker to define this syndrome.

Glossary

CK

creatine kinase

DM

dermatomyositis

ENMC

European NeuroMusclar Center

ICU

intensive care unit

ILD

interstitial lung disease

MDA5

melanoma differentiation-associated gene 5

RP-ILD

rapidly progressive interstitial lung disease

Appendix. Authors

Appendix.

Appendix.

Appendix.

Study funding

No targeted funding reported.

Disclosure

The authors report no relevant disclosures. Go to Neurology.org/N for full disclosures.

References

  • 1.Hamaguchi Y, Kuwana M, Hoshino K, et al. Clinical correlations with dermatomyositis-specific autoantibodies in adult Japanese patients with dermatomyositis: a multicenter cross-sectional study. Arch Dermatol 2011;147:391–398. [DOI] [PubMed] [Google Scholar]
  • 2.Benveniste O, Stenzel W, Allenbach Y. Advances in serological diagnostics of inflammatory myopathies. Curr Opin Neurol 2016;29:662–673. [DOI] [PubMed] [Google Scholar]
  • 3.Fiorentino D, Chung L, Zwerner J, Rosen A, Casciola-Rosen L. The mucocutaneous and systemic phenotype of dermatomyositis patients with antibodies to MDA5 (CADM-140): a retrospective study. J Am Acad Dermatol 2011;65:25–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hall JC, Casciola-Rosen L, Samedy LA, et al. Anti-melanoma differentiation-associated protein 5-associated dermatomyositis: expanding the clinical spectrum: clinical features of anti-MDA-5-positive patients. Arthritis Care Res 2013;65:1307–1315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Sato S, Hoshino K, Satoh T, et al. RNA helicase encoded by melanoma differentiation-associated gene 5 is a major autoantigen in patients with clinically amyopathic dermatomyositis: association with rapidly progressive interstitial lung disease. Arthritis Rheum 2009;60:2193–2200. [DOI] [PubMed] [Google Scholar]
  • 6.Hoogendijk JE, Amato AA, Lecky BR, et al. ENMC international workshop: trial design in adult idiopathic inflammatory myopathies, with the exception of inclusion body myositis, 10-12 October 2003, Naarden, The Netherlands. Neuromuscul Disord 2004;14:337–345. [DOI] [PubMed] [Google Scholar]
  • 7.Sontheimer RD. Would a new name hasten the acceptance of amyopathic dermatomyositis (dermatomyositis siné myositis) as a distinctive subset within the idiopathic inflammatory dermatomyopathies spectrum of clinical illness? J Am Acad Dermatol 2002;46:626–636. [DOI] [PubMed] [Google Scholar]
  • 8.Bohan A, Peter JB. Polymyositis and dermatomyositis (first of two parts). N Engl J Med 1975;292:344–347. [DOI] [PubMed] [Google Scholar]
  • 9.Mariampillai K, Granger B, Amelin D, et al. Development of a new classification system for idiopathic inflammatory myopathies based on clinical manifestations and myositis-specific autoantibodies. JAMA Neurol 2018;75:1528–1537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lebart L, Morineau A, Warwick KM. Multivariate Descriptive Statistical Analysis (Correspondence Analysis and Related Techniques for Large Matrices). Chichester: Wiley; 1984. [Google Scholar]
  • 11.Fischer A, Antoniou KM, Brown KK, et al. An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features. Eur Respir J 2015;46:976–987. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All supplementary data are available from the Dryad digital repository (doi.org/10.5061/dryad.t39c4k1). Further anonymized data can be made available to qualified investigators upon request to the corresponding author.


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