12 research outputs found
Anti-mitochondrial antibody: Potential marker of myositis with chronic clinical course, muscle atrophy, cardiac involvement and granulomatous inflammation in muscle biopsy
No full textSevere finger necrosis in antisynthetase syndrome with positive anti‐OJ antibodies
No full textKey Clinical Message In a patient with anti‐aminoacyl tRNA synthetase antibody and anti‐OJ antibody syndrome, interventions likes warming, prostaglandins, and antiplatelets failed. However, prednisolone pulse treatment rapidly halted disease progression. Patients with mild interstitial pneumonia, myositis, and extremity necrosis should be promptly considered for anti‐synthetase syndrome and receive immunosuppression after ruling out other causes. Abstract Anti‐aminoacyl tRNA synthetase (ARS) autoantibodies are myositis‐specific, and patients who test positive for ARS and have common clinical features are usually diagnosed with antisynthetase antibody syndrome (antisynthetase syndrome). Anti‐ARS antibodies include histidyl‐tRNA synthetase‐1 (Jo‐1), anti‐threonyl (PL‐7), anti‐alanyl (PL‐12), anti‐glycyl (EJ), anti‐asparaginyl (KS), anti‐tyrosyl (Ha), and anti‐phenylalanyl (Zo) tRNA synthetases. Among these, anti–isoleucyl tRNA synthetase (OJ) autoantibodies are extremely rare, and patients with these are frequently complicated by interstitial pneumonia. We report the case of an older man with ARS antibody syndrome who tested positive for anti‐OJ and anti‐Sjögren's‐syndrome‐related antigen A (Ro‐52) antibodies. He had muscle weakness due to myositis and unparalleled rapid and severe finger necrosis. Pulsed prednisolone effectively treated the myositis symptoms and terminated the progression of finger necrosis
Sporadic late‐onset nemaline myopathy as a rare cause of slowly progressive muscle weakness with young adult onset
No full textClinicopathologic features of myositis patients with CD8-MHC-1 complex pathology
No full textObjective:To determine the clinical features of myositis patients with the histopathologic finding of CD8-positive T cells invading non-necrotic muscle fibers expressing major histocompatibility complex class 1 (CD8-MHC-1 complex), which is shared by polymyositis (PM) and inclusion body myositis (IBM), in relation to the p62 immunostaining pattern of muscle fibers.Methods:All 93 myositis patients with CD8-MHC-1 complex who were referred to our hospital from 1993 to 2015 were classified on the basis of the European Neuromuscular Center (ENMC) diagnostic criteria for IBM (Rose, 2013) or PM (Hoogendijk, 2004) and analyzed.Results:The 93 patients included were 17 patients with PM, 70 patients with IBM, and 6 patients who neither met the criteria for PM nor IBM in terms of muscle weakness distribution (unclassifiable group). For these PM, IBM, and unclassifiable patients, their mean ages at diagnosis were 63, 70, and 64 years; autoimmune disease was present in 7 (41%), 13 (19%), and 4 (67%); hepatitis C virus infection was detected in 0%, 13 (20%), and 2 (33%); and p62 was immunopositive in 0%, 66 (94%), and 2 (33%), respectively. Of the treated patients, 11 of 16 PM patients and 4 of 6 p62-immunonegative patients in the unclassifiable group showed responses to immunotherapy, whereas all 44 patients with IBM and 2 p62-immunopositive patients in the unclassifiable group were unresponsive to immunotherapy.Conclusions:CD8-MHC-1 complex is present in patients with PM, IBM, or unclassifiable group. The data may serve as an argument for a trial of immunosuppressive treatment in p62-immunonegative patients with unclassifiable myositis.</jats:sec
Chronic Myopathy Associated With Anti–Signal Recognition Particle Antibodies Can Be Misdiagnosed As Facioscapulohumeral Muscular Dystrophy
No full textVanishing White Matter Disease With EIF2B2 c.254T >A Variant
No full textObjectives
Typical MRI findings of vanishing white matter disease (VWM) include diffuse white matter lesions with cystic degeneration. However, mild cases may lack these typical features, posing diagnostic challenges.
Methods
We describe 2 of 3 individuals carrying the homozygous c.254T >A variant in EIF2B2 identified at our hospital, excluding 1 previously reported case.1 Genetic analyses were performed using whole-genome sequence or whole-exome sequence analysis, and detected variants were confirmed by direct nucleotide sequence analysis. Brain MRI findings and clinical features were reviewed for the 2 individuals along with other cases in the literature with the same variant.
Results
A 69-year-old woman presented with recurrent transient dizziness and secondary amenorrhea. MRI of the brain revealed small T2-hyperintense lesions confined to the subcortical white matter with hyperintensities on diffusion-weighted images and mildly elevated apparent diffusion coefficient values. A 28-year-old woman presented with transient dizziness and secondary amenorrhea. MRI of the brain showed mild T2-hyperintense lesions in the cerebral white matter with frontal predominance.
Discussion
This report highlights the clinically mild cases of VWM with subtle abnormalities on brain MRI who had the homozygous c.254T >A in EIF2B2, further expanding the clinical spectrum of VWM and underscoring the importance of genetic assessments in the diagnosis of individuals with mild clinical and MRI findings
Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis
No full textRheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10−8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA
Multi -ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis.
No full textRheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10−8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA.We thank the Director of Health Malaysia for supporting the work described in the South Asian (SAS) population: the Malaysian Epidemiological Investigation of Rheumatoid Arthritis (MyEIRA) study. The MyEIRA study was funded by grants from Ministry of Health Malaysia (NMRR-08-820-1975) and the Swedish National Research Council (DNR-348-2009-6468). The GENRA study and the CARDERA genetics cohort genotyping were funded by Versus Arthritis (grant reference 19739 to I.C.S.). The Nurses’ Health Study (NHS cohort) is funded by the National Institutes of Health (NIH) (R01 AR049880, UM1 CA186107, R01 CA49449, U01 CA176726 and R01 CA67262). The Swedish EIRA study was supported by the Swedish Research Council (to L.K., L.P. and L.A.). S.S. was in part supported by the Mochida Memorial Foundation for Medical and Pharmaceutical Research, Kanae Foundation for the Promotion of Medical Science, Astellas Foundation for Research on Metabolic Disorders, JCR Grant for Promoting Basic Rheumatology, and Manabe Scholarship Grant for Allergic and Rheumatic Diseases. I.C.S. is funded by the National Institute for Health and Care Research (NIHR) Advanced Research Fellowship (grant reference NIHR300826). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. K.A.S. is supported by the Sherman Family Chair in Genomic Medicine and by a Canadian Institutes for Health Research Foundation Grant (FDN 148457) and grants from the Ontario Research Fund (RE-09-090) and Canadian Foundation for Innovation (33374). S.-C.B. is supported by the Basic Science Research Program through the NRF funded by the Ministry of Education (NRF-2021R1A6A1A03038899). R.P.K. and J.C.E. are funded by NIH (UL1 TR003096). C.M.L. is partly funded by the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. T. Arayssi was partially supported by the National Priorities Research Program (grant 4-344-3-105 from the Qatar National Research Fund, a member of Qatar Foundation). M. Kerick and J.M. are funded by Rheumatology Cooperative Research Thematic Network program RD16/0012/0013 from the Instituto de Salud Carlos III (Spanish Ministry of Science and Innovation). Y.O. is funded by JSPS KAKENHI (19H01021 and 20K21834), AMED (JP21km0405211, JP21ek0109413, JP21ek0410075, JP21gm4010006 and JP21km0405217), JST Moonshot R&D (JPMJMS2021 and JPMJMS2024), Takeda Science Foundation, and the Bioinformatics Initiative of Osaka University Graduate School of Medicine. Y. Kochi is funded by grants from Nanken-Kyoten, TMDU and Medical Research Center Initiative for High Depth Omics. S.R. is supported by UH2AR067677, U01HG009379, R01AR063759 and U01HG012009.Peer reviewe
Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis
No full textRheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10 −8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA
