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Suzuki N, Kanzaki M, Koide M, Izumi R, Fujita R, Takahashi T, Ogawa K, Yabe Y, Tsuchiya M, Suzuki M, Harada R, Ohno A, Ono H, Nakamura N, Ikeda K, Warita H, Osana S, Oikawa Y, Toyohara T, Abe T, Rui M, Ebihara S, Nagatomi R, Hagiwara Y, Aoki M. Sporadic inclusion body myositis-derived myotube culture revealed muscle cell-autonomous expression profiles. PLoS One 2024; 19:e0306021. [PMID: 39088432 PMCID: PMC11293708 DOI: 10.1371/journal.pone.0306021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 06/10/2024] [Indexed: 08/03/2024] Open
Abstract
Sporadic inclusion body myositis (sIBM) is a muscle disease in older people and is characterized by inflammatory cell invasion into intact muscle fibers and rimmed vacuoles. The pathomechanism of sIBM is not fully elucidated yet, and controversy exists as to whether sIBM is a primary autoimmune disease or a degenerative muscle disease with secondary inflammation. Previously, we established a method of collecting CD56-positive myoblasts from human skeletal muscle biopsy samples. We hypothesized that the myoblasts derived from these patients are useful to see the cell-autonomous pathomechanism of sIBM. With these resources, myoblasts were differentiated into myotubes, and the expression profiles of cell-autonomous pathology of sIBM were analyzed. Myoblasts from three sIBM cases and six controls were differentiated into myotubes. In the RNA-sequencing analysis of these "myotube" samples, 104 differentially expressed genes (DEGs) were found to be significantly upregulated by more than twofold in sIBM, and 13 DEGs were downregulated by less than twofold. For muscle biopsy samples, a comparative analysis was conducted to determine the extent to which "biopsy" and "myotube" samples differed. Fifty-three DEGs were extracted of which 32 (60%) had opposite directions of expression change (e.g., increased in biopsy vs decreased in myotube). Apolipoprotein E (apoE) and transmembrane protein 8C (TMEM8C or MYMK) were commonly upregulated in muscle biopsies and myotubes from sIBM. ApoE and myogenin protein levels were upregulated in sIBM. Given that enrichment analysis also captured changes in muscle contraction and development, the triggering of muscle atrophy signaling and abnormal muscle differentiation via MYMK or myogenin may be involved in the pathogenesis of sIBM. The presence of DEGs in sIBM suggests that the myotubes formed from sIBM-derived myoblasts revealed the existence of muscle cell-autonomous degeneration in sIBM. The catalog of DEGs will be an important resource for future studies on the pathogenesis of sIBM focusing on primary muscle degeneration.
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Affiliation(s)
- Naoki Suzuki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Rehabilitation Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Makoto Kanzaki
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Masashi Koide
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Rumiko Izumi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryo Fujita
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tadahisa Takahashi
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kazumi Ogawa
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yutaka Yabe
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | | | - Masako Suzuki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryuhei Harada
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Akiyuki Ohno
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroya Ono
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Neurology, National Hospital Organization Iwate Hospital, Ichinoseki, Iwate, Japan
| | - Naoko Nakamura
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kensuke Ikeda
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hitoshi Warita
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shion Osana
- Division of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Yoshitsugu Oikawa
- Department of Pediatrics, Tohoku University Graduate School of Medicine, Sendai, Japan
- Division of Nephrology, Endocrinology and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takafumi Toyohara
- Division of Nephrology, Endocrinology and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
| | - Takaaki Abe
- Division of Nephrology, Endocrinology and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
- Department of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Muliang Rui
- Department of Rehabilitation Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Satoru Ebihara
- Department of Rehabilitation Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryoichi Nagatomi
- Division of Biomedical Engineering for Health and Welfare, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
| | - Yoshihiro Hagiwara
- Department of Orthopedic Surgery, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
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Văcăraş V, Vulturar R, Chiş A, Damian L. Inclusion body myositis, viral infections, and TDP-43: a narrative review. Clin Exp Med 2024; 24:91. [PMID: 38693436 PMCID: PMC11062973 DOI: 10.1007/s10238-024-01353-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 04/15/2024] [Indexed: 05/03/2024]
Abstract
The ubiquitous RNA-processing molecule TDP-43 is involved in neuromuscular diseases such as inclusion body myositis, a late-onset acquired inflammatory myopathy. TDP-43 solubility and function are disrupted in certain viral infections. Certain viruses, high viremia, co-infections, reactivation of latent viruses, and post-acute expansion of cytotoxic T cells may all contribute to inclusion body myositis, mainly in an age-shaped immune landscape. The virally induced senescent, interferon gamma-producing cytotoxic CD8+ T cells with increased inflammatory, and cytotoxic features are involved in the occurrence of inclusion body myositis in most such cases, in a genetically predisposed host. We discuss the putative mechanisms linking inclusion body myositis, TDP-43, and viral infections untangling the links between viruses, interferon, and neuromuscular degeneration could shed a light on the pathogenesis of the inclusion body myositis and other TDP-43-related neuromuscular diseases, with possible therapeutic implications.
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Affiliation(s)
- Vitalie Văcăraş
- Department of Neurosciences, "Iuliu Haţieganu" University of Medicine and Pharmacy, Cluj-Napoca, 43, Victor Babeş St, 400012, Cluj-Napoca, Romania
- Neurology Department of Cluj, County Emergency Hospital, 3-5, Clinicilor St, 400347, Cluj-Napoca, Romania
| | - Romana Vulturar
- Department of Molecular Sciences, "Iuliu Haţieganu" University of Medicine and Pharmacy Cluj-Napoca, 6, Pasteur St, 400349, Cluj-Napoca, Romania
- Cognitive Neuroscience Laboratory, University Babeş-Bolyai, 30, Fântânele St, 400294, Cluj-Napoca, Romania
- Association for Innovation in Rare Inflammatory, Metabolic, Genetic Diseases INNOROG, 30E, Făgetului St, 400497, Cluj-Napoca, Romania
| | - Adina Chiş
- Department of Molecular Sciences, "Iuliu Haţieganu" University of Medicine and Pharmacy Cluj-Napoca, 6, Pasteur St, 400349, Cluj-Napoca, Romania.
- Cognitive Neuroscience Laboratory, University Babeş-Bolyai, 30, Fântânele St, 400294, Cluj-Napoca, Romania.
- Association for Innovation in Rare Inflammatory, Metabolic, Genetic Diseases INNOROG, 30E, Făgetului St, 400497, Cluj-Napoca, Romania.
| | - Laura Damian
- Association for Innovation in Rare Inflammatory, Metabolic, Genetic Diseases INNOROG, 30E, Făgetului St, 400497, Cluj-Napoca, Romania
- Department of Rheumatology, Centre for Rare Autoimmune and Autoinflammatory Diseases, Emergency, Clinical County Hospital Cluj, 2-4, Clinicilor St, 400006, Cluj-Napoca, Romania
- CMI Reumatologie Dr. Damian, 6-8, Petru Maior St, 400002, Cluj-Napoca, Romania
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Impaired muscle stem cell function and abnormal myogenesis in acquired myopathies. Biosci Rep 2023; 43:232343. [PMID: 36538023 PMCID: PMC9829652 DOI: 10.1042/bsr20220284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/08/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Skeletal muscle possesses a high plasticity and a remarkable regenerative capacity that relies mainly on muscle stem cells (MuSCs). Molecular and cellular components of the MuSC niche, such as immune cells, play key roles to coordinate MuSC function and to orchestrate muscle regeneration. An abnormal infiltration of immune cells and/or imbalance of pro- and anti-inflammatory cytokines could lead to MuSC dysfunctions that could have long lasting effects on muscle function. Different genetic variants were shown to cause muscular dystrophies that intrinsically compromise MuSC function and/or disturb their microenvironment leading to impaired muscle regeneration that contributes to disease progression. Alternatively, many acquired myopathies caused by comorbidities (e.g., cardiopulmonary or kidney diseases), chronic inflammation/infection, or side effects of different drugs can also perturb MuSC function and their microenvironment. The goal of this review is to comprehensively summarize the current knowledge on acquired myopathies and their impact on MuSC function. We further describe potential therapeutic strategies to restore MuSC regenerative capacity.
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Zeng L, Chen K, Xiao F, Zhu CY, Bai JY, Tan S, Long L, Wang Y, Zhou Q. Potential common molecular mechanisms between Sjögren syndrome and inclusion body myositis: a bioinformatic analysis and in vivo validation. Front Immunol 2023; 14:1161476. [PMID: 37153570 PMCID: PMC10160489 DOI: 10.3389/fimmu.2023.1161476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/07/2023] [Indexed: 05/09/2023] Open
Abstract
Background Inclusion body myositis (IBM) is a slowly progressive inflammatory myopathy that typically affects the quadriceps and finger flexors. Sjögren's syndrome (SS), an autoimmune disorder characterized by lymphocytic infiltration of exocrine glands has been reported to share common genetic and autoimmune pathways with IBM. However, the exact mechanism underlying their commonality remains unclear. In this study, we investigated the common pathological mechanisms involved in both SS and IBM using a bioinformatic approach. Methods IBM and SS gene expression profiles were obtained from the Gene Expression Omnibus (GEO). SS and IBM coexpression modules were identified using weighted gene coexpression network analysis (WGCNA), and differentially expressed gene (DEG) analysis was applied to identify their shared DEGs. The hidden biological pathways were revealed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Furthermore, protein-protein interaction (PPI) networks, cluster analyses, and hub shared gene identification were conducted. The expression of hub genes was validated by reverse transcription quantitative polymerase chain reaction (RT-qPCR). We then analyzed immune cell abundance patterns in SS and IBM using single-sample gene set enrichment analysis (ssGSEA) and investigated their association with hub genes. Finally, NetworkAnalyst was used to construct a common transcription factor (TF)-gene network. Results Using WGCNA, we found that 172 intersecting genes were closely related to viral infection and antigen processing/presentation. Based on DEG analysis, 29 shared genes were found to be upregulated and enriched in similar biological pathways. By intersecting the top 20 potential hub genes from the WGCNA and DEG sets, three shared hub genes (PSMB9, CD74, and HLA-F) were derived and validated to be active transcripts, which all exhibited diagnostic values for SS and IBM. Furthermore, ssGSEA showed similar infiltration profiles in IBM and SS, and the hub genes were positively correlated with the abundance of immune cells. Ultimately, two TFs (HDGF and WRNIP1) were identified as possible key TFs. Conclusion Our study identified that IBM shares common immunologic and transcriptional pathways with SS, such as viral infection and antigen processing/presentation. Furthermore, both IBM and SS have almost identical immune infiltration microenvironments, indicating similar immune responses may contribute to their association.
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Affiliation(s)
- Li Zeng
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Kai Chen
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Feng Xiao
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Chun-yan Zhu
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jia-ying Bai
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Song Tan
- Department of Neurology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, Chengdu, China
| | - Li Long
- Department of Rheumatology and Immunology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Qiao Zhou, ; Yi Wang, ; Li Long,
| | - Yi Wang
- Department of Critical Care Medicine, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Qiao Zhou, ; Yi Wang, ; Li Long,
| | - Qiao Zhou
- Department of Rheumatology and Immunology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Qiao Zhou, ; Yi Wang, ; Li Long,
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Abstract
PURPOSE OF REVIEW To discuss recent developments in our understanding of epidemiology, diagnostics, biomarkers, pathology, pathogenesis, outcome measures, and therapeutics in inclusion body myositis (IBM). RECENT FINDINGS Recent epidemiology data confirms a relatively higher prevalence in the population aged above 50 years and the reduced life expectancy. Association with cancer and other systemic disorders is better defined. The role of magnetic resonance imaging (MRI) and ultrasound in diagnosis as well as in following disease progression has been elucidated. There are new blood and imaging biomarkers that show tremendous promise for diagnosis and as outcome measures in therapeutic trials. Improved understanding of the pathogenesis of the disease will lead to better therapeutic interventions, but also highlights the importance to have sensitive and responsive outcome measures that accurately quantitate change. SUMMARY There are exciting new developments in our understanding of IBM which should lead to improved management and therapeutic options.
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Affiliation(s)
- Mari Perez-Rosendahl
- Department of Pathology & Laboratory Medicine, School of Medicine, University of California, Irvine
| | - Tahseen Mozaffar
- Department of Pathology & Laboratory Medicine, School of Medicine, University of California, Irvine
- Department of Neurology, School of Medicine, University of California, Irvine
- Institute for Immunology, School of Medicine, University of California, Irvine
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Biomarker und Histologie bei idiopathischen inflammatorischen Myopathien. AKTUEL RHEUMATOL 2021. [DOI: 10.1055/a-1548-8934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
ZusammenfassungDie idiopathischen inflammatorischen Myopathien (IIM) sind eine Gruppe entzündlicher Muskelerkrankungen für deren Diagnosestellung, Verlaufsbeurteilung, Prognoseabschätzung und Risikostratifizierung Biomarker eine jeweils essentielle Rolle spielen. Biomarker in diesem Kontext können sowohl „herkömmliche“ serologische Marker wie Muskelenzyme oder Autoantikörper, histologische Marker wie entitätsspezifische inflammatorische Muster, aber auch genomische und genetische Marker sein. Der vorliegende Artikel gibt einen Überblick über bewährte und innovative Marker.
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