20 results on '"Pinal-Fernandez I"'
Search Results
2. OP0009 Distinctive Immunofluorescence Pattern in Statin-Associated Autoimmune Myopathy with Anti-HMGCR Autoantibodies
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Alvarado-Cardenas, M., primary, Marin, A., additional, Martinez, M.A., additional, Pinal-Fernandez, I., additional, Labrador-Horrillo, M., additional, Moreno, P.J., additional, Millisenda, J.C., additional, Grau, J.M., additional, Pujol, R., additional, Juárez, C., additional, and Selva-O'Callaghan, A., additional
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- 2016
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3. FRI0284 Anti-Srp-Associated Autoimmune Myopathy: Younger Age at Onset Is Associated with More Severe Disease and Worse Outcome
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Pinal-Fernandez, I., primary, Parks, C., additional, Tiniakou, E., additional, Albayda, M., additional, Paik, J., additional, Lahouti, A., additional, Casal-Dominguez, M., additional, Pak, K., additional, Huang, W., additional, Lloyd, T.E., additional, Danoff, S., additional, Casciola-Rosen, L., additional, Christopher-Stine, L., additional, and Mammen, A.L., additional
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- 2016
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4. OP0010 Thigh Magnetic Resonance Imaging Reveals Increased Active and Chronic Muscle Damage in Necrotizing Myositis Compared To Polymyositis and Dermatomyositis
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Pinal-Fernandez, I., primary, Casal-Dominguez, M., additional, Lahouti, A., additional, Basharat, P., additional, Albayda, M., additional, Paik, J., additional, Ahlawat, S., additional, Danoff, S., additional, Lloyd, T.E., additional, Mammen, A.L., additional, Carrino, J., additional, and Christopher-Stine, L., additional
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- 2016
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5. FRI0273 Slow Recovery of Muscle Strength in Young Anti-HMG-COA Reductase Positive Myopathy Patients
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Tiniakou, E., primary, Pinal Fernandez, I., additional, Christopher-Stine, L., additional, Werner, J., additional, Lloyd, T., additional, Paik, J., additional, Albayda, J., additional, Danoff, S., additional, and Mammen, A., additional
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- 2016
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6. SAT0314 Pregnancy in Adult-Onset Idiopathic Inflammatory Myopathy. Report from A Cohort of Myositis Patients from A Single Center
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Pinal-Fernandez, I., primary, Selva-O'Callaghan, A., additional, Fernandez-Codina, A., additional, Martinez-Gomez, X., additional, Rodrigo-Pendas, J.A., additional, Perez-Lopez, J., additional, and Vilardell-Tarres, M., additional
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- 2014
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7. SAT0315 Comparison of Fast 1.5T Chest MRI with HRCT Scan in the Assessment of Interstitial Lung Disease Extension Secondary to Systemic Sclerosis
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Pinal-Fernandez, I., primary, Pineda-Sanchez, V., additional, Pallisa Núñez, E., additional, Simeόn-Aznar, C.P., additional, and Selva-O'Callaghan, A., additional
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- 2014
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8. AB0623 Correlating Muscle Biopsy Features with Autoantibodies in Patients with Dermatomyositis and the Jo-1 Antisynthetase Syndrome
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Pinal-Fernandez, I., primary, Christopher-Stine, L., additional, Casciola-Rosen, L., additional, Corse, A., additional, and Mammen, A.L., additional
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- 2014
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9. FRI0483 Association between Muscle Enzymes, Acute-Phase Reactants and MRI Findings in Myositis
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Pinal-Fernandez, I., primary, Del Grande, M., additional, Filippo, D.G., additional, Carrino, J.A., additional, Mammen, A.L., additional, Lloyd, T.E., additional, and Christopher-Stine, L., additional
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- 2014
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10. Pathological autoantibody internalisation in myositis.
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Pinal-Fernandez I, Muñoz-Braceras S, Casal-Dominguez M, Pak K, Torres-Ruiz J, Musai J, Dell'Orso S, Naz F, Islam S, Gutierrez-Cruz G, Cano MD, Matas-Garcia A, Padrosa J, Tobias-Baraja E, Garrabou G, Aldecoa I, Espinosa G, Simeon-Aznar CP, Guillen-Del-Castillo A, Gil-Vila A, Trallero-Araguás E, Christopher-Stine L, Lloyd TE, Liewluck T, Naddaf E, Stenzel W, Greenberg SA, Grau JM, Selva-O'Callaghan A, Milisenda JC, and Mammen AL
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- Humans, Transcriptome, Case-Control Studies, Female, Muscle, Skeletal immunology, Muscle, Skeletal pathology, Male, Middle Aged, Microscopy, Confocal, Biopsy, Autoantibodies immunology, Myositis immunology, Myositis pathology, Autoantigens immunology
- Abstract
Objectives: Autoantibodies targeting intracellular proteins are common in various autoimmune diseases. In the context of myositis, the pathologic significance of these autoantibodies has been questioned due to the assumption that autoantibodies cannot enter living muscle cells. This study aims to investigate the validity of this assumption., Methods: Confocal immunofluorescence microscopy was employed to localise antibodies and other proteins of interest in myositis muscle biopsies. Bulk RNA sequencing was used to examine the transcriptomic profiles of 669 samples, including those from patients with myositis, disease controls and healthy controls. Additionally, antibodies from myositis patients were introduced into cultured myoblasts through electroporation, and their transcriptomic profiles were analysed using RNA sequencing., Results: In patients with myositis autoantibodies, antibodies accumulated inside myofibres in the same subcellular compartment as the autoantigen. Bulk RNA sequencing revealed that muscle biopsies from patients with autoantibodies targeting transcriptional regulators exhibited transcriptomic patterns consistent with dysfunction of the autoantigen. For instance, in muscle biopsies from patients with anti-PM/Scl autoantibodies recognising components of the nuclear RNA exosome complex, an accumulation of divergent transcripts and long non-coding RNAs was observed; these RNA forms are typically degraded by the nuclear RNA exosome complex. Introducing patient antibodies into cultured muscle cells recapitulated the transcriptomic effects observed in human disease. Further supporting evidence suggested that myositis autoantibodies recognising other autoantigens may also disrupt the function of their targets., Conclusions: This study demonstrates that, in myositis, autoantibodies are internalised into living cells, causing biological effects consistent with the disrupted function of their autoantigen., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ on behalf of EULAR.)
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- 2024
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11. Transcriptional derepression of CHD4/NuRD-regulated genes in the muscle of patients with dermatomyositis and anti-Mi2 autoantibodies.
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Pinal-Fernandez I, Milisenda JC, Pak K, Muñoz-Braceras S, Casal-Dominguez M, Torres-Ruiz J, Dell'Orso S, Naz F, Gutierrez-Cruz G, Duque-Jaimez Y, Matas-Garcia A, Padrosa J, Garcia-Garcia FJ, Guitart-Mampel M, Garrabou G, Trallero-Araguás E, Walitt B, Paik JJ, Albayda J, Christopher-Stine L, Lloyd TE, Grau-Junyent JM, Selva-O'Callaghan A, and Mammen AL
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- Humans, Autoantibodies, Mi-2 Nucleosome Remodeling and Deacetylase Complex genetics, Muscle, Skeletal pathology, Dermatomyositis genetics, Myositis, Myositis, Inclusion Body, Autoimmune Diseases
- Abstract
Objectives: Myositis is a heterogeneous family of diseases including dermatomyositis (DM), immune-mediated necrotising myopathy (IMNM), antisynthetase syndrome (AS) and inclusion body myositis (IBM). Myositis-specific autoantibodies define different subtypes of myositis. For example, patients with anti-Mi2 autoantibodies targeting the chromodomain helicase DNA-binding protein 4 (CHD4)/NuRD complex (a transcriptional repressor) have more severe muscle disease than other DM patients. This study aimed to define the transcriptional profile of muscle biopsies from anti-Mi2-positive DM patients., Methods: RNA sequencing was performed on muscle biopsies (n=171) from patients with anti-Mi2-positive DM (n=18), DM without anti-Mi2 autoantibodies (n=32), AS (n=18), IMNM (n=54) and IBM (n=16) as well as 33 normal muscle biopsies. Genes specifically upregulated in anti-Mi2-positive DM were identified. Muscle biopsies were stained for human immunoglobulin and protein products corresponding to genes specifically upregulated in anti-Mi2-positive muscle biopsies., Results: A set of 135 genes, including SCRT1 and MADCAM1 , was specifically overexpressed in anti-Mi2-positive DM muscle. This set was enriched for CHD4/NuRD-regulated genes and included genes that are not otherwise expressed in skeletal muscle. The expression levels of these genes correlated with anti-Mi2 autoantibody titres, markers of disease activity and with the other members of the gene set. In anti-Mi2-positive muscle biopsies, immunoglobulin was localised to the myonuclei, MAdCAM-1 protein was present in the cytoplasm of perifascicular fibres, and SCRT1 protein was localised to myofibre nuclei., Conclusions: Based on these findings, we hypothesise that anti-Mi2 autoantibodies could exert a pathogenic effect by entering damaged myofibres, inhibiting the CHD4/NuRD complex, and subsequently derepressing the unique set of genes defined in this study., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
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12. Transcriptomic profiling reveals distinct subsets of immune checkpoint inhibitor induced myositis.
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Pinal-Fernandez I, Quintana A, Milisenda JC, Casal-Dominguez M, Muñoz-Braceras S, Derfoul A, Torres-Ruiz J, Pak K, Dell'Orso S, Naz F, Gutierrez-Cruz G, Milone M, Shelly S, Duque-Jaimez Y, Tobias-Baraja E, Matas-Garcia A, Garrabou G, Padrosa J, Ros J, Trallero-Araguás E, Walitt B, Christopher-Stine L, Lloyd TE, Zhao C, Swift S, Rajan A, Grau-Junyent JM, Selva-O'Callaghan A, Liewluck T, and Mammen AL
- Subjects
- Humans, Immune Checkpoint Inhibitors, Transcriptome, Interleukin-6 metabolism, Interferons genetics, Muscle, Skeletal pathology, Dermatomyositis genetics, Myocarditis pathology, Myositis chemically induced, Myositis genetics, Autoimmune Diseases complications, Myositis, Inclusion Body
- Abstract
Objectives: Inflammatory myopathy or myositis is a heterogeneous family of immune-mediated diseases including dermatomyositis (DM), antisynthetase syndrome (AS), immune-mediated necrotising myopathy (IMNM) and inclusion body myositis (IBM). Immune checkpoint inhibitors (ICIs) can also cause myositis (ICI-myositis). This study was designed to define gene expression patterns in muscle biopsies from patients with ICI-myositis., Methods: Bulk RNA sequencing was performed on 200 muscle biopsies (35 ICI-myositis, 44 DM, 18 AS, 54 IMNM, 16 IBM and 33 normal muscle biopsies) and single nuclei RNA sequencing was performed on 22 muscle biopsies (seven ICI-myositis, four DM, three AS, six IMNM and two IBM)., Results: Unsupervised clustering defined three distinct transcriptomic subsets of ICI-myositis: ICI-DM, ICI-MYO1 and ICI-MYO2. ICI-DM included patients with DM and anti-TIF1γ autoantibodies who, like DM patients, overexpressed type 1 interferon-inducible genes. ICI-MYO1 patients had highly inflammatory muscle biopsies and included all patients that developed coexisting myocarditis. ICI-MYO2 was composed of patients with predominant necrotising pathology and low levels of muscle inflammation. The type 2 interferon pathway was activated both in ICI-DM and ICI-MYO1. Unlike the other types of myositis, all three subsets of ICI-myositis patients overexpressed genes involved in the IL6 pathway., Conclusions: We identified three distinct types of ICI-myositis based on transcriptomic analyses. The IL6 pathway was overexpressed in all groups, the type I interferon pathway activation was specific for ICI-DM, the type 2 IFN pathway was overexpressed in both ICI-DM and ICI-MYO1 and only ICI-MYO1 patients developed myocarditis., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
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13. Response to: 'Correspondence on 'Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis'' by Takanashi et al .
- Author
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Pinal-Fernandez I, Casal-Dominguez M, Milisenda JC, and Mammen AL
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- Humans, Muscles, Biopsy, Machine Learning, Algorithms, Autoantibodies, Transcriptome, Myositis genetics
- Abstract
Competing Interests: Competing interests: None declared.
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- 2023
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14. Coexisting autoantibodies against transcription factor Sp4 are associated with decreased cancer risk in patients with dermatomyositis with anti-TIF1γ autoantibodies.
- Author
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Hosono Y, Sie B, Pinal-Fernandez I, Pak K, Mecoli CA, Casal-Dominguez M, Warner BM, Kaplan MJ, Albayda J, Danoff S, Lloyd TE, Paik JJ, Tiniakou E, Aggarwal R, Oddis CV, Moghadam-Kia S, Carmona-Rivera C, Milisenda JC, Grau-Junyent JM, Selva-O'Callaghan A, Christopher-Stine L, Larman HB, and Mammen AL
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- Humans, Autoantibodies, Sp4 Transcription Factor, Dermatomyositis, Myositis, Neoplasms, Arthritis, Rheumatoid
- Abstract
Objectives: In dermatomyositis (DM), autoantibodies are associated with unique clinical phenotypes. For example, anti-TIF1γ autoantibodies are associated with an increased risk of cancer. The purpose of this study was to discover novel DM autoantibodies., Methods: Phage ImmunoPrecipitation Sequencing using sera from 43 patients with DM suggested that transcription factor Sp4 is a novel autoantigen; this was confirmed by showing that patient sera immunoprecipitated full-length Sp4 protein. Sera from 371 Johns Hopkins patients with myositis (255 with DM, 28 with antisynthetase syndrome, 40 with immune-mediated necrotising myopathy, 29 with inclusion body myositis and 19 with polymyositis), 80 rheumatological disease controls (25 with Sjogren's syndrome, 25 with systemic lupus erythematosus and 30 with rheumatoid arthritis (RA)) and 200 healthy comparators were screened for anti-SP4 autoantibodies by ELISA. A validation cohort of 46 anti-TIF1γ-positive patient sera from the University of Pittsburgh was also screened for anti-Sp4 autoantibodies., Results: Anti-Sp4 autoantibodies were present in 27 (10.5%) patients with DM and 1 (3.3%) patient with RA but not in other clinical groups. In patients with DM, 96.3% of anti-Sp4 autoantibodies were detected in those with anti-TIF1γ autoantibodies. Among 26 TIF1γ-positive patients with anti-Sp4 autoantibodies, none (0%) had cancer. In contrast, among 35 TIF1γ-positive patients without anti-Sp4 autoantibodies, 5 (14%, p=0.04) had cancer. In the validation cohort, among 15 TIF1γ-positive patients with anti-Sp4 autoantibodies, 2 (13.3%) had cancer. By comparison, among 31 TIF1γ-positive patients without anti-Sp4 autoantibodies, 21 (67.7%, p<0.001) had cancer., Conclusions: Anti-Sp4 autoantibodies appear to identify a subgroup of anti-TIF1γ-positive DM patients with lower cancer risk., Competing Interests: Competing interests: YJ, IP-F, KP, MC-D, MJK, JA, TEL, ET, CVO, SM-K, CC-R, JCM, JMG-J, AS-O'C and ALM report no competing interests. CAM has received support from NIH grant 1K23AR075898 and the Jerome L. Greene Foundation; reconsulting fees from Guidepoint Consultations and Boehringer Ingelheim; and payment for expert testimony from the Department of Justice–Vaccine Injury Compensation Program. BMW received support from NIH grant Z01-DE000704. SD received support grants or contract from BMS, Boehringer-Ingelheim and Genentech/Roche; royalties or licences from UpToDate; consulting fees from Boehringer-Ingelheim; payment for presentations from France Foundation; support for travel from Boehringer-Ingelheim; participates in an advisory board for Galecto and Galapagos; and is a senior medical advisor for the Pulmonary Fibrosis Foundation and the American Thoracic Society. JJP received support from NIH grant K23AR073927; grants or contracts from Pfizer, Kezer and Corbus; royalties from UpToDate; and consulting fees from Pfizer, Kezar, EMD Serono, Proivant and Guidepoint Consultation. RA received grants or contracts from Mallinckrodt, Q32, Pfizer, EMD-Serono and Bristol Myers-Squibb; and consulting fees from Mallinckrodt, EMD Serono, Octapharma, Kezar, CSL Behring, Pfizer, Bristol Myers-Squibb, Astrazeneca, Alexion, Boehringer-Ingelheim, Argenx, Corbus, Roivant, Jannsen, Merck, Kyverna, Galapagos, Actigraph, Abbvie, Scipher, Horizon Therapeutics, Teva and Beigene. LC-S received grants or contracts from Pfizer, Corbus and Kezar; royalties from Inova Diagnostics; consulting fees from Janssen, Boehringer-Ingelheim, Mallinckrodt, EMD-Serono, Argenx, Allogene and Horizon Therapeutics; expert testimony for Bendin Sumrall and Ladner LLC, Feldman, Kleidman Coffey, & Sappe LLP Downs Ward Bender Hauptmann & Herzog, P.A., and Sulloway and Hollis; and patents from Inova Diagnostics and RDL. HBL received support from NIH grant R01GM136724; is a founder of ImmuneID, Portal Bioscience and Alchemab; and is an advisor to TScan Therapeutics., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2023
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15. On using machine learning algorithms to define clinically meaningful patient subgroups.
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Pinal-Fernandez I and Mammen AL
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- DNA, Humans, Autoantibodies, Machine Learning
- Abstract
Competing Interests: Competing interests: None declared.
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- 2020
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16. Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis.
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Pinal-Fernandez I, Casal-Dominguez M, Derfoul A, Pak K, Miller FW, Milisenda JC, Grau-Junyent JM, Selva-O'Callaghan A, Carrion-Ribas C, Paik JJ, Albayda J, Christopher-Stine L, Lloyd TE, Corse AM, and Mammen AL
- Subjects
- Adult, Animals, Apolipoproteins A metabolism, Biopsy, Calcium-Calmodulin-Dependent Protein Kinase Type 1 metabolism, Cell Adhesion Molecules metabolism, Cell Culture Techniques, Dermatomyositis genetics, Early Growth Response Transcription Factors metabolism, Female, Humans, Hydroxymethylglutaryl CoA Reductases metabolism, Interleukin-8 metabolism, Machine Learning, Male, Mice, Mucoproteins metabolism, Muscle, Skeletal metabolism, Muscle, Skeletal pathology, Myositis pathology, Polymyositis genetics, Transcriptome, Autoimmune Diseases genetics, Muscular Diseases genetics, Myositis genetics, Myositis, Inclusion Body genetics
- Abstract
Objectives: Myositis is a heterogeneous family of diseases that includes dermatomyositis (DM), antisynthetase syndrome (AS), immune-mediated necrotising myopathy (IMNM), inclusion body myositis (IBM), polymyositis and overlap myositis. Additional subtypes of myositis can be defined by the presence of myositis-specific autoantibodies (MSAs). The purpose of this study was to define unique gene expression profiles in muscle biopsies from patients with MSA-positive DM, AS and IMNM as well as IBM., Methods: RNA-seq was performed on muscle biopsies from 119 myositis patients with IBM or defined MSAs and 20 controls. Machine learning algorithms were trained on transcriptomic data and recursive feature elimination was used to determine which genes were most useful for classifying muscle biopsies into each type and MSA-defined subtype of myositis., Results: The support vector machine learning algorithm classified the muscle biopsies with >90% accuracy. Recursive feature elimination identified genes that are most useful to the machine learning algorithm and that are only overexpressed in one type of myositis. For example, CAMK1G (calcium/calmodulin-dependent protein kinase IG), EGR4 (early growth response protein 4) and CXCL8 (interleukin 8) are highly expressed in AS but not in DM or other types of myositis. Using the same computational approach, we also identified genes that are uniquely overexpressed in different MSA-defined subtypes. These included apolipoprotein A4 (APOA4), which is only expressed in anti-3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) myopathy, and MADCAM1 (mucosal vascular addressin cell adhesion molecule 1), which is only expressed in anti-Mi2-positive DM., Conclusions: Unique gene expression profiles in muscle biopsies from patients with MSA-defined subtypes of myositis and IBM suggest that different pathological mechanisms underly muscle damage in each of these diseases., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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17. Response to: 'Comment on: 'Anti-Ro52 autoantibodies are associated with interstitial lung disease and more severe disease in patients with juvenile myositis' by Sabbagh S et al' by Yang et al .
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Sabbagh S, Pinal Fernandez I, Miller FW, Rider LG, and Mammen AL
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- Autoantibodies, Humans, Dermatomyositis, Lung Diseases, Interstitial, Polymyositis
- Abstract
Competing Interests: Competing interests: None declared.
- Published
- 2020
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18. Anti-Ro52 autoantibodies are associated with interstitial lung disease and more severe disease in patients with juvenile myositis.
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Sabbagh S, Pinal-Fernandez I, Kishi T, Targoff IN, Miller FW, Rider LG, and Mammen AL
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- Autoantibodies immunology, Child, Dermatomyositis blood, Female, Humans, Lung Diseases, Interstitial epidemiology, Male, Myositis blood, Prevalence, Autoantibodies blood, Dermatomyositis immunology, Lung Diseases, Interstitial immunology, Myositis immunology, Ribonucleoproteins immunology
- Abstract
Objectives: Anti-Ro52 autoantibodies are associated with more severe interstitial lung disease (ILD) in adult myositis patients with antiaminoacyl transfer (t)RNA synthetase autoantibodies. However, few studies have examined anti-Ro52 autoantibodies in juvenile myositis. The purpose of this study was to define the prevalence and clinical features associated with anti-Ro52 autoantibodies in a large cohort of patients with juvenile myositis., Methods: We screened sera from 302 patients with juvenile dermatomyositis (JDM), 25 patients with juvenile polymyositis (JPM) and 44 patients with juvenile connective tissue disease-myositis overlap (JCTM) for anti-Ro52 autoantibodies by ELISA. Clinical characteristics were compared between myositis patients with and without anti-Ro52 autoantibodies., Results: Anti-Ro52 autoantibodies were found in 14% patients with JDM, 12% with JPM and 18% with JCTM. Anti-Ro52 autoantibodies were more frequent in patients with antiaminoacyl tRNA synthetase (64%, p<0.001) and anti-MDA5 (31%, p<0.05) autoantibodies. After controlling for the presence of myositis-specific autoantibodies, anti-Ro52 autoantibodies were associated with the presence of ILD (36% vs 4%, p<0.001). Disease course was more frequently chronic, remission was less common, and an increased number of medications was received in anti-Ro52 positive patients., Conclusions: Anti-Ro52 autoantibodies are present in 14% of patients with juvenile myositis and are strongly associated with anti-MDA5 and antiaminoacyl tRNA synthetase autoantibodies. In all patients with juvenile myositis, those with anti-Ro52 autoantibodies were more likely to have ILD. Furthermore, patients with anti-Ro52 autoantibodies have more severe disease and a poorer prognosis., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2019
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19. Anti-NT5C1A autoantibodies are associated with more severe disease in patients with juvenile myositis.
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Yeker RM, Pinal-Fernandez I, Kishi T, Pak K, Targoff IN, Miller FW, Rider LG, and Mammen AL
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- Arthritis, Juvenile blood, Arthritis, Juvenile immunology, Autoantibodies immunology, Child, Dermatomyositis immunology, Female, Humans, Male, Phenotype, Polymyositis immunology, 5'-Nucleotidase immunology, Autoantibodies blood, Dermatomyositis blood, Polymyositis blood, Severity of Illness Index
- Abstract
Objectives: Autoantibodies recognising cytosolic 5'-nucleotidase 1A (NT5C1A) are found in adult patients with myositis and other autoimmune diseases. They are especially prevalent in adults with inclusion body myositis (IBM), in which they are associated with more severe weakness and higher mortality. This study was undertaken to define the prevalence and clinical features associated with anti-NT5C1A autoantibodies in juvenile myositis., Methods: We screened sera from 380 patients with juvenile myositis, 30 patients with juvenile idiopathic arthritis (JIA) and 92 healthy control children for anti-NT5C1A autoantibodies. Clinical characteristics were compared between patients with myositis with and without anti-NT5C1A autoantibodies., Results: Anti-NT5C1A autoantibodies were present in 102 of 380 (27%) patients with juvenile myositis and in 11 of 92 (12%) healthy control children (P=0.002) and 27% of children with JIA (P=0.05 vs controls). Sera of 83 of 307 (27%) patients with juvenile dermatomyositis and 16 of 46 (35%) patients with juvenile overlap myositis were anti-NT5C1A autoantibody-positive (P<0.01 vs healthy controls for each), but sera of only 3 of 27 (11%) patients with juvenile polymyositis were anti-NT5C1A-positive. Patients with juvenile myositis with and without anti-NT5C1A autoantibodies had similar clinical phenotypes. However, patients with anti-NT5C1A autoantibody-positive myositis had greater pulmonary symptoms at diagnosis (P=0.005), more frequent hospitalisations (P=0.01) and required a larger number of medications (P<0.001)., Conclusion: Anti-NT5C1A autoantibodies are present in more than one-quarter of children with juvenile myositis and JIA compared with only 12% of healthy children, suggesting they are myositis-associated in children. As in adults with IBM, patients with juvenile myositis with anti-NT5C1A autoantibodies have more severe disease., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)
- Published
- 2018
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20. Thigh muscle MRI in immune-mediated necrotising myopathy: extensive oedema, early muscle damage and role of anti-SRP autoantibodies as a marker of severity.
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Pinal-Fernandez I, Casal-Dominguez M, Carrino JA, Lahouti AH, Basharat P, Albayda J, Paik JJ, Ahlawat S, Danoff SK, Lloyd TE, Mammen AL, and Christopher-Stine L
- Subjects
- Adiposity, Adult, Aged, Atrophy diagnostic imaging, Biomarkers blood, Dermatomyositis diagnostic imaging, Female, Humans, Hydroxymethylglutaryl CoA Reductases immunology, Male, Middle Aged, Muscle, Skeletal diagnostic imaging, Muscular Diseases blood, Muscular Diseases immunology, Myositis, Inclusion Body diagnostic imaging, Necrosis blood, Necrosis diagnostic imaging, Necrosis immunology, Polymyositis diagnostic imaging, Predictive Value of Tests, Severity of Illness Index, Thigh, Antibodies blood, Edema diagnostic imaging, Magnetic Resonance Imaging, Muscle, Skeletal pathology, Muscular Diseases diagnostic imaging, Signal Recognition Particle immunology
- Abstract
Objectives: The aims of this study were to define the pattern of muscle involvement in patients with immune-mediated necrotising myopathy (IMNM) relative to those with other inflammatory myopathies and to compare patients with IMNM with different autoantibodies., Methods: All Johns Hopkins Myositis Longitudinal Cohort subjects with a thigh MRI (tMRI) who fulfilled criteria for IMNM, dermatomyositis (DM), polymyositis (PM), inclusion body myositis (IBM) or clinically amyopathic DM (CADM) were included in the study. Muscles were assessed for intramuscular and fascial oedema, atrophy and fatty replacement. Disease subgroups were compared using univariate and multivariate analyses. Patients with IMNM with anti-signal recognition particle (SRP) autoantibodies were compared with those with IMNM with anti-HMG-CoA reductase (HMGCR) autoantibodies., Results: The study included 666 subjects (101 IMNM, 176 PM, 219 DM, 17 CADM and 153 IBM). Compared with DM or PM, IMNM was characterised by a higher proportion of thigh muscles with oedema, atrophy and fatty replacement (p<0.01). Patients with IMNM with anti-SRP had more atrophy (19%, p=0.003) and fatty replacement (18%, p=0.04) than those with anti-HMGCR. In IMNM, muscle abnormalities were especially common in the lateral rotator and gluteal groups. Fascial involvement was most widespread in DM. Fatty replacement of muscle tissue began early during the course of disease in IMNM and the other groups. An optimal combination of tMRI features had only a 55% positive predictive value for diagnosing IMNM., Conclusions: Compared with patients with DM or PM, IMNM is characterised by more widespread muscle involvement. Anti-SRP-positive patients have more severe muscle involvement than anti-HMGCR-positive patients., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)
- Published
- 2017
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