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Song Y, Xue M, Wang F, Tang Q, Luo Y, Zheng M, Wang Y, Xue P, Dong N, Sun R, Fang M. Study on the Characteristics of Coarse Feeding Tolerance of Ding'an Pigs: Phenotypic and Candidate Genes Identification. Genes (Basel) 2024; 15:599. [PMID: 38790227 PMCID: PMC11121715 DOI: 10.3390/genes15050599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/28/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
Ding'an (DA) pig, a prominent local breed in Hainan Province, exhibits notable advantages in coarse feeding tolerance and high-quality meat. To explore the potential genetic mechanism of coarse feeding tolerance in DA pigs, 60-day-old full sibling pairs of DA and DLY (Duroc-Landrace-Yorkshire) pigs were subjected to fed normal (5%) and high (10%) crude fiber diets for 56 days, respectively. The findings showed that increasing the crude fiber level had no impact on the apparent digestibility of crude fiber, intramuscular fat, and marbling scores in DA pigs, whereas these factors were significantly reduced in DLY pigs (p < 0.05). Through differential expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA) of the colonic mucosal transcriptome data, 65 and 482 candidate genes with coarse feeding tolerance in DA pigs were identified, respectively. Joint analysis screened four key candidate genes, including LDHB, MLC1, LSG1, and ESM1, potentially serving as key regulated genes for coarse feeding tolerance. Functional analysis revealed that the most significant pathway enriched in differential genes associated with coarse feeding tolerance in Ding'an pigs was the signaling receptor binding. The results hold substantial significance for advancing our understanding of the genetic mechanisms governing coarse feeding tolerance in Ding'an pigs.
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Affiliation(s)
- Yanxia Song
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Mingming Xue
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Feng Wang
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Science, Haikou 571100, China; (F.W.); (R.S.)
| | - Qiguo Tang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Yabiao Luo
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Meili Zheng
- Beijing General Station of Animal Husbandry, Beijing 100107, China;
| | - Yubei Wang
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Pengxiang Xue
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Ningqi Dong
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
| | - Ruiping Sun
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Science, Haikou 571100, China; (F.W.); (R.S.)
| | - Meiying Fang
- Sanya Institute of China Agricultural University, Sanya 572024, China; (Y.S.); (Y.W.); (N.D.)
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, MOA Key Laboratory of Animal Genetics and Breeding, Beijing Key Laboratory for Animal Genetic Improvement, State Key Laboratory of Animal Biotech Breeding, Frontiers Science Center for Molecular Design Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.X.); (Q.T.); (Y.L.); (P.X.)
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Zhong H, Sian V, Johari M, Katayama S, Oghabian A, Jonson PH, Hackman P, Savarese M, Udd B. Revealing myopathy spectrum: integrating transcriptional and clinical features of human skeletal muscles with varying health conditions. Commun Biol 2024; 7:438. [PMID: 38600180 PMCID: PMC11006663 DOI: 10.1038/s42003-024-06143-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 04/03/2024] [Indexed: 04/12/2024] Open
Abstract
Myopathy refers to a large group of heterogeneous, rare muscle diseases. Bulk RNA-sequencing has been utilized for the diagnosis and research of these diseases for many years. However, the existing valuable sequencing data often lack integration and clinical interpretation. In this study, we integrated bulk RNA-sequencing data from 1221 human skeletal muscles (292 with myopathies, 929 controls) from both databases and our local samples. By applying a method similar to single-cell analysis, we revealed a general spectrum of muscle diseases, ranging from healthy to mild disease, moderate muscle wasting, and severe muscle disease. This spectrum was further partly validated in three specific myopathies (97 muscles) through clinical features including trinucleotide repeat expansion, magnetic resonance imaging fat fraction, pathology, and clinical severity scores. This spectrum helped us identify 234 genuinely healthy muscles as unprecedented controls, providing a new perspective for deciphering the hallmark genes and pathways among different myopathies. The newly identified featured genes of general myopathy, inclusion body myositis, and titinopathy were highly expressed in our local muscles, as validated by quantitative polymerase chain reaction.
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Affiliation(s)
- Huahua Zhong
- Department of Neurology, Huashan Rare Disease Center, Huashan Hospital, Fudan University, Shanghai, China.
| | - Veronica Sian
- Department of Precision Medicine, "Luigi Vanvitelli" University of Campania, Via L. De Crecchio 7, Naples, Italy
| | - Mridul Johari
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
- Harry Perkins Institute of Medical Research, Centre for Medical Research, University of Western Australia, Nedlands, WA, Australia
| | - Shintaro Katayama
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Ali Oghabian
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Per Harald Jonson
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
| | - Peter Hackman
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
| | - Marco Savarese
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
| | - Bjarne Udd
- Department of Medical and Clinical Genetics, Folkhälsan Research Center, Medicum, University of Helsinki, Helsinki, Finland
- Tampere Neuromuscular Center, University Hospital, Tampere, Finland
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3
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Essouma M. Autoimmune inflammatory myopathy biomarkers. Clin Chim Acta 2024; 553:117742. [PMID: 38176522 DOI: 10.1016/j.cca.2023.117742] [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: 07/18/2023] [Revised: 12/21/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024]
Abstract
The autoimmune inflammatory myopathy disease spectrum, commonly known as myositis, is a group of systemic diseases that mainly affect the muscles, skin and lungs. Biomarker assessment helps in understanding disease mechanisms, allowing for the implementation of precise strategies in the classification, diagnosis, and management of these diseases. This review examines the pathogenic mechanisms and highlights current data on blood and tissue biomarkers of autoimmune inflammatory myopathies.
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Affiliation(s)
- Mickael Essouma
- Network of Immunity in Infections, Malignancy and Autoimmunity, Universal Scientific Education and Research Network, Cameroon
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Yang Y, GuangXuan H, GenMeng W, MengHuan L, Bo C, XueJie Y. Idiopathic inflammatory myopathy and non-coding RNA. Front Immunol 2023; 14:1227945. [PMID: 37744337 PMCID: PMC10512060 DOI: 10.3389/fimmu.2023.1227945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/11/2023] [Indexed: 09/26/2023] Open
Abstract
Idiopathic inflammatory myopathies (IIMs) are common autoimmune diseases that affect skeletal muscle quality and function. The lack of an early diagnosis and treatment can lead to irreversible muscle damage. Non-coding RNAs (ncRNAs) play an important role in inflammatory transfer, muscle regeneration, differentiation, and regulation of specific antibody levels and pain in IIMs. ncRNAs can be detected in blood and hair; therefore, ncRNAs detection has great potential for diagnosing, preventing, and treating IIMs in conjunction with other methods. However, the specific roles and mechanisms underlying the regulation of IIMs and their subtypes remain unclear. Here, we review the mechanisms by which micro RNAs and long non-coding RNA-messenger RNA networks regulate IIMs to provide a basis for ncRNAs use as diagnostic tools and therapeutic targets for IIMs.
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Affiliation(s)
- Yang Yang
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Hu GuangXuan
- School of Physical Education, Liaoning Normal University, Dalian, Liaoning, China
| | - Wan GenMeng
- College of Exercise and Health, Shenyang Sport University, Shenyang, China
| | - Li MengHuan
- College of Exercise and Health, Shenyang Sport University, Shenyang, China
| | - Chang Bo
- College of Exercise and Health, Shenyang Sport University, Shenyang, China
| | - Yi XueJie
- Social Science Research Center, Shenyang Sport University, Shenyang, Liaoning, China
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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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6
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Damian L, Login CC, Solomon C, Belizna C, Encica S, Urian L, Jurcut C, Stancu B, Vulturar R. Inclusion Body Myositis and Neoplasia: A Narrative Review. Int J Mol Sci 2022; 23:ijms23137358. [PMID: 35806366 PMCID: PMC9266341 DOI: 10.3390/ijms23137358] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 02/04/2023] Open
Abstract
Inclusion body myositis (IBM) is an acquired, late-onset inflammatory myopathy, with both inflammatory and degenerative pathogenesis. Although idiopathic inflammatory myopathies may be associated with malignancies, IBM is generally not considered paraneoplastic. Many studies of malignancy in inflammatory myopathies did not include IBM patients. Indeed, IBM is often diagnosed only after around 5 years from onset, while paraneoplastic myositis is generally defined as the co-occurrence of malignancy and myopathy within 1 to 3 years of each other. Nevertheless, a significant association with large granular lymphocyte leukemia has been recently described in IBM, and there are reports of cancer-associated IBM. We review the pathogenic mechanisms supposed to be involved in IBM and outline the common mechanisms in IBM and malignancy, as well as the therapeutic perspectives. The terminally differentiated, CD8+ highly cytotoxic T cells expressing NK features are central in the pathogenesis of IBM and, paradoxically, play a role in some cancers as well. Interferon gamma plays a central role, mostly during the early stages of the disease. The secondary mitochondrial dysfunction, the autophagy and cell cycle dysregulation, and the crosstalk between metabolic and mitogenic pathways could be shared by IBM and cancer. There are intermingled subcellular mechanisms in IBM and neoplasia, and probably their co-existence is underestimated. The link between IBM and cancers deserves further interest, in order to search for efficient therapies in IBM and to improve muscle function, life quality, and survival in both diseases.
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Affiliation(s)
- Laura Damian
- Centre for Rare Autoimmune and Autoinflammatory Diseases (ERN-ReCONNET), Department of Rheumatology, Emergency Clinical County Hospital Cluj, 400347 Cluj-Napoca, Romania;
- CMI Reumatologie Dr. Damian, 6-8 Petru Maior St., 400002 Cluj-Napoca, Romania
| | - Cristian Cezar Login
- Department of Physiology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
- Correspondence:
| | - Carolina Solomon
- Radiology Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania;
- Radiology Department, Emergency Clinical County Hospital Cluj, 400006 Cluj-Napoca, Romania
| | - Cristina Belizna
- UMR CNRS 6015—INSERM U1083, University of Angers, 49100 Angers, France;
- Internal Medicine Department Clinique de l’Anjou, Angers and Vascular and Coagulation Department, University Hospital Angers, 49100 Angers, France
| | - Svetlana Encica
- Department of Pathology, “Niculae Stancioiu” Heart Institute Cluj-Napoca, 19-21 Calea Moților St., 400001 Cluj-Napoca, Romania;
| | - Laura Urian
- Department of Hematology, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400004 Cluj-Napoca, Romania;
- Department of Hematology, Ion Chiricuta Clinical Cancer Center, 400014 Cluj-Napoca, Romania
| | - Ciprian Jurcut
- Department of Internal Medicine, “Carol Davila” Central Military Emergency University Hospital, Calea Plevnei No 134, 010825 Bucharest, Romania;
| | - Bogdan Stancu
- 2nd Surgical Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania;
| | - Romana Vulturar
- Department of Molecular Sciences, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania;
- Cognitive Neuroscience Laboratory, University “Babes-Bolyai” Cluj-Napoca, 400294 Cluj-Napoca, Romania
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Zschüntzsch J, Meyer S, Shahriyari M, Kummer K, Schmidt M, Kummer S, Tiburcy M. The Evolution of Complex Muscle Cell In Vitro Models to Study Pathomechanisms and Drug Development of Neuromuscular Disease. Cells 2022; 11:1233. [PMID: 35406795 PMCID: PMC8997482 DOI: 10.3390/cells11071233] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/25/2022] [Accepted: 03/31/2022] [Indexed: 12/04/2022] Open
Abstract
Many neuromuscular disease entities possess a significant disease burden and therapeutic options remain limited. Innovative human preclinical models may help to uncover relevant disease mechanisms and enhance the translation of therapeutic findings to strengthen neuromuscular disease precision medicine. By concentrating on idiopathic inflammatory muscle disorders, we summarize the recent evolution of the novel in vitro models to study disease mechanisms and therapeutic strategies. A particular focus is laid on the integration and simulation of multicellular interactions of muscle tissue in disease phenotypes in vitro. Finally, the requirements of a neuromuscular disease drug development workflow are discussed with a particular emphasis on cell sources, co-culture systems (including organoids), functionality, and throughput.
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Affiliation(s)
- Jana Zschüntzsch
- Department of Neurology, University Medical Center Goettingen, 37075 Goettingen, Germany; (S.M.); (K.K.); (M.S.)
| | - Stefanie Meyer
- Department of Neurology, University Medical Center Goettingen, 37075 Goettingen, Germany; (S.M.); (K.K.); (M.S.)
| | - Mina Shahriyari
- Institute of Pharmacology and Toxicology, University Medical Center Goettingen, 37075 Goettingen, Germany;
- DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, 37075 Goettingen, Germany
| | - Karsten Kummer
- Department of Neurology, University Medical Center Goettingen, 37075 Goettingen, Germany; (S.M.); (K.K.); (M.S.)
| | - Matthias Schmidt
- Department of Neurology, University Medical Center Goettingen, 37075 Goettingen, Germany; (S.M.); (K.K.); (M.S.)
- Institute of Pharmacology and Toxicology, University Medical Center Goettingen, 37075 Goettingen, Germany;
- DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, 37075 Goettingen, Germany
| | - Susann Kummer
- Risk Group 4 Pathogens–Stability and Persistence, Biosafety Level-4 Laboratory, Center for Biological Threats and Special Pathogens, Robert Koch Institute, 13353 Berlin, Germany;
| | - Malte Tiburcy
- Institute of Pharmacology and Toxicology, University Medical Center Goettingen, 37075 Goettingen, Germany;
- DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, 37075 Goettingen, Germany
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Transcriptome analysis from muscle biopsy tissues in late-onset myopathies identifies potential biomarkers correlating to muscle pathology. Neuromuscul Disord 2022; 32:643-653. [DOI: 10.1016/j.nmd.2022.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/22/2022] [Accepted: 04/27/2022] [Indexed: 11/22/2022]
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