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Dowling P, Gargan S, Zweyer M, Swandulla D, Ohlendieck K. Proteomic profiling of fatty acid binding proteins in muscular dystrophy. Expert Rev Proteomics 2020; 17:137-148. [PMID: 32067530 DOI: 10.1080/14789450.2020.1732214] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introduction: Duchenne muscular dystrophy is a neuromuscular disorder, which is caused by abnormalities in the DMD gene that encodes the membrane cytoskeletal protein dystrophin. Besides progressive skeletal muscle wasting, dystrophinopathy also affects non-skeletal muscle tissues, including cells in the cardio-respiratory system, the central nervous system, the liver and the kidney.Areas covered: This review summarizes the proteomic characterization of a key class of lipid chaperones, the large family of fatty acid binding proteins, and their potential role in muscular dystrophy. Recent proteomic surveys using animal models and patient specimens are reviewed. Pathobiochemical changes in specific proteoforms of fatty acid binding protein in the multi-system pathology of dystrophinopathy are discussed.Expert opinion: The mass spectrometric identification of distinct changes in fatty acid binding proteins in muscle, heart, liver, kidney and serum demonstrates that considerable alterations occur in key steps of metabolite transport and fat metabolism in muscular dystrophy. These new findings might be helpful to further develop a comprehensive biomarker signature of metabolic changes in X-linked muscular dystrophy, which should improve (i) our understanding of complex pathobiochemical changes due to dystrophin deficiency, (ii) the identification of novel therapeutic targets, and (iii) the design of differential diagnostic, prognostic and therapy-monitoring approaches.
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Affiliation(s)
- Paul Dowling
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.,Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare, Ireland
| | - Stephen Gargan
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.,Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare, Ireland
| | - Margit Zweyer
- Department of Neonatology and Pediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany
| | | | - Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.,Kathleen Lonsdale Institute for Human Health Research, Maynooth University, Maynooth, Co. Kildare, Ireland
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Choi YC, Hong JM, Park KD, Shin HY, Kim SM, Park HJ. Proteomic analysis of the skeletal muscles from dysferlinopathy patients. J Clin Neurosci 2019; 71:186-190. [PMID: 31439488 DOI: 10.1016/j.jocn.2019.08.068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 08/07/2019] [Indexed: 01/07/2023]
Abstract
Dysferlinopathy is an autosomal recessive disease caused by pathogenic variants in DYSF gene. We compared muscle protein extracts from dysferlinopathy patients and control subjects to identify new biomarkers of this myopathy. We reviewed the medical records from January 2002 to October 2016. Eight vastus lateralis muscle samples from five dysferlinopathy patients and three control subjects were selected. We separated proteins/peptides from all eight muscle protein extracts using two-dimensional electrophoresis (2DE). Data were acquired from liquid chromatography-mass spectrometry protein fragmentation patterns after comparing the spot volumes. Western blotting revealed total dysferlin loss in the dysferlinopathy patients but normal expression in the control subjects. 2DE indicated somewhat diverse protein constellations between the dysferlinopathy and control groups. Image analysis showed that 80 spots were differently expressed between two dysferlinopathy and one control samples. We selected 44 spots with consistently different volume between dysferlinopathy and control groups. Liquid chromatography-mass spectrometry indicated 26 differently expressed proteins. Western blotting revealed that creatine kinase M-type, carbonic anhydrase III (muscle specific) and desmin were significantly elevated in dysferlinopathy muscle. Additionally, four proteins (myosin light chain 1/3, skeletal muscle isoform; lamin A/C; ankyrin repeat domain 2; and eukaryotic translation initiation factor 5A-1) were inconsistently elevated in the dysferlinopathy samples. We confirmed the usefulness of the classic biomarker and have newly identified the altered expression of proteins in the skeletal muscles of dysferlinopathy patients.
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Affiliation(s)
- Young-Chul Choi
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji-Man Hong
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kee Duk Park
- Departments of Neurology, Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, Republic of Korea
| | - Ha Young Shin
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seung Min Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyung Jun Park
- Department of Neurology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Republic of Korea.
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Treatment with Recombinant Human MG53 Protein Increases Membrane Integrity in a Mouse Model of Limb Girdle Muscular Dystrophy 2B. Mol Ther 2017; 25:2360-2371. [PMID: 28750735 DOI: 10.1016/j.ymthe.2017.06.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 06/23/2017] [Accepted: 06/28/2017] [Indexed: 12/20/2022] Open
Abstract
Limb girdle muscular dystrophy type 2B (LGMD2B) and other dysferlinopathies are degenerative muscle diseases that result from mutations in the dysferlin gene and have limited treatment options. The dysferlin protein has been linked to multiple cellular functions including a Ca2+-dependent membrane repair process that reseals disruptions in the sarcolemmal membrane. Recombinant human MG53 protein (rhMG53) can increase the membrane repair process in multiple cell types both in vitro and in vivo. Here, we tested whether rhMG53 protein can improve membrane repair in a dysferlin-deficient mouse model of LGMD2B (B6.129-Dysftm1Kcam/J). We found that rhMG53 can increase the integrity of the sarcolemmal membrane of isolated muscle fibers and whole muscles in a Ca2+-independent fashion when assayed by a multi-photon laser wounding assay. Intraperitoneal injection of rhMG53 into mice before acute eccentric treadmill exercise can decrease the release of intracellular enzymes from skeletal muscle and decrease the entry of immunoglobulin G and Evans blue dye into muscle fibers in vivo. These results indicate that short-term rhMG53 treatment can ameliorate one of the underlying defects in dysferlin-deficient muscle by increasing sarcolemmal membrane integrity. We also provide evidence that rhMG53 protein increases membrane integrity independently of the canonical dysferlin-mediated, Ca2+-dependent pathway known to be important for sarcolemmal membrane repair.
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Sánchez-Gutiérrez D, Sáez A, Gómez-Gálvez P, Paradas C, Escudero LM. Rules of tissue packing involving different cell types: human muscle organization. Sci Rep 2017; 7:40444. [PMID: 28071729 PMCID: PMC5223128 DOI: 10.1038/srep40444] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 12/07/2016] [Indexed: 01/16/2023] Open
Abstract
Natural packed tissues are assembled as tessellations of polygonal cells. These include skeletal muscles and epithelial sheets. Skeletal muscles appear as a mosaic composed of two different types of cells: the "slow" and "fast" fibres. Their relative distribution is important for the muscle function but little is known about how the fibre arrangement is established and maintained. In this work we capture the organizational pattern in two different healthy muscles: biceps brachii and quadriceps. Here we show that the biceps brachii muscle presents a particular arrangement, based on the different sizes of slow and fast fibres. By contrast, in the quadriceps muscle an unbiased distribution exists. Our results indicate that the relative size of each cellular type imposes an intrinsic organization into natural tessellations. These findings establish a new framework for the analysis of any packed tissue where two or more cell types exist.
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Affiliation(s)
- Daniel Sánchez-Gutiérrez
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universdad de Sevilla, 41013 Seville, Spain
| | - Aurora Sáez
- Dpto. Teoría de la Señal y Comunicaciones. Universidad de Sevilla, Cmno, de los descubrimientos s/n, 41092, Sevilla, Spain
| | - Pedro Gómez-Gálvez
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universdad de Sevilla, 41013 Seville, Spain
| | - Carmen Paradas
- Neuromuscular Disorders Unit, Department of Neurology, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universdad de Sevilla, 41013 Seville, Spain
| | - Luis M. Escudero
- Departamento de Biología Celular, Universidad de Sevilla and Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universdad de Sevilla, 41013 Seville, Spain
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5
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Dowling P, Murphy S, Ohlendieck K. Proteomic profiling of muscle fibre type shifting in neuromuscular diseases. Expert Rev Proteomics 2016; 13:783-99. [DOI: 10.1080/14789450.2016.1209416] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Fuller HR, Graham LC, Llavero Hurtado M, Wishart TM. Understanding the molecular consequences of inherited muscular dystrophies: advancements through proteomic experimentation. Expert Rev Proteomics 2016; 13:659-71. [PMID: 27329572 DOI: 10.1080/14789450.2016.1202768] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 06/14/2016] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Proteomic techniques offer insights into the molecular perturbations occurring in muscular-dystrophies (MD). Revisiting published datasets can highlight conserved downstream molecular alterations, which may be worth re-assessing to determine whether their experimental manipulation is capable of modulating disease severity. AREAS COVERED Here, we review the MD literature, highlighting conserved molecular insights warranting mechanistic investigation for therapeutic potential. We also describe a workflow currently proving effective for efficient identification of biomarkers & therapeutic targets in other neurodegenerative conditions, upon which future MD proteomic investigations could be modelled. Expert commentary: Studying disease models can be useful for identifying biomarkers and model specific degenerative cascades, but rarely offer translatable mechanistic insights into disease pathology. Conversely, direct analysis of human samples undergoing degeneration presents challenges derived from complex chronic degenerative molecular processes. This requires a carefully planed & reproducible experimental paradigm accounting for patient selection through to grouping by disease severity and ending with proteomic data filtering and processing.
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Affiliation(s)
- Heidi R Fuller
- a Wolfson Centre for Inherited Neuromuscular Disease , RJAH Orthopaedic Hospital , Oswestry , UK
- b Institute for Science and Technology in Medicine , Keele University , Staffordshire , UK
| | - Laura C Graham
- c Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
- d Division of Neurobiology, The Roslin Institute and Royal (Dick) School of Veterinary Studies , University of Edinburgh , Edinburgh , UK
| | - Maica Llavero Hurtado
- c Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
- d Division of Neurobiology, The Roslin Institute and Royal (Dick) School of Veterinary Studies , University of Edinburgh , Edinburgh , UK
| | - Thomas M Wishart
- c Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK
- d Division of Neurobiology, The Roslin Institute and Royal (Dick) School of Veterinary Studies , University of Edinburgh , Edinburgh , UK
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Brinkmeier H, Ohlendieck K. Chaperoning heat shock proteins: Proteomic analysis and relevance for normal and dystrophin-deficient muscle. Proteomics Clin Appl 2014; 8:875-95. [DOI: 10.1002/prca.201400015] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Revised: 04/24/2014] [Accepted: 05/28/2014] [Indexed: 12/15/2022]
Affiliation(s)
| | - Kay Ohlendieck
- Department of Biology; National University of Ireland; Maynooth Co. Kildare Ireland
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Holland A, Ohlendieck K. Proteomic profiling of the contractile apparatus from skeletal muscle. Expert Rev Proteomics 2014; 10:239-57. [DOI: 10.1586/epr.13.20] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Ohlendieck K. Proteomic identification of biomarkers of skeletal muscle disorders. Biomark Med 2013; 7:169-86. [PMID: 23387498 DOI: 10.2217/bmm.12.96] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Disease-specific biomarkers play a central diagnostic and therapeutic role in muscle pathology. Serum levels of a variety of muscle-derived enzymes are routinely used for the detection of muscle damage in diagnostic procedures, as well as for the monitoring of physical training status in sports medicine. Over the last few years, the systematic application of mass spectrometry-based proteomics for studying skeletal muscle degeneration has greatly expanded the range of muscle biomarkers, including new fiber-associated proteins involved in muscle transformation, muscular atrophy, muscular dystrophy, motor neuron disease, inclusion body myositis, myotonia, hypoxia, diabetes, obesity and sarcopenia of old age. These mass spectrometric studies have clearly established skeletal muscle proteomics as a reliable method for the identification of novel indicators of neuromuscular diseases.
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Affiliation(s)
- Kay Ohlendieck
- Muscle Biology Laboratory, Department of Biology, National University of Ireland, Maynooth, County Kildare, Ireland.
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Kley RA, Maerkens A, Leber Y, Theis V, Schreiner A, van der Ven PFM, Uszkoreit J, Stephan C, Eulitz S, Euler N, Kirschner J, Müller K, Meyer HE, Tegenthoff M, Fürst DO, Vorgerd M, Müller T, Marcus K. A combined laser microdissection and mass spectrometry approach reveals new disease relevant proteins accumulating in aggregates of filaminopathy patients. Mol Cell Proteomics 2012; 12:215-27. [PMID: 23115302 DOI: 10.1074/mcp.m112.023176] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Filaminopathy is a subtype of myofibrillar myopathy caused by mutations in FLNC, the gene encoding filamin C, and histologically characterized by pathologic accumulation of several proteins within skeletal muscle fibers. With the aim to get new insights in aggregate composition, we collected aggregates and control tissue from skeletal muscle biopsies of six myofibrillar myopathy patients harboring three different FLNC mutations by laser microdissection and analyzed the samples by a label-free mass spectrometry approach. A total of 390 proteins were identified, and 31 of those showed significantly higher spectral indices in aggregates compared with patient controls with a ratio >1.8. These proteins included filamin C, other known myofibrillar myopathy associated proteins, and a striking number of filamin C binding partners. Across the patients the patterns were extremely homogeneous. Xin actin-binding repeat containing protein 2, heat shock protein 27, nebulin-related-anchoring protein, and Rab35 could be verified as new filaminopathy biomarker candidates. In addition, further experiments identified heat shock protein 27 and Xin actin-binding repeat containing protein 2 as novel filamin C interaction partners and we could show that Xin actin-binding repeat containing protein 2 and the known interaction partner Xin actin-binding repeat containing protein 1 simultaneously associate with filamin C. Ten proteins showed significant lower spectral indices in aggregate samples compared with patient controls (ratio <0.56) including M-band proteins myomesin-1 and myomesin-2. Proteomic findings were consistent with previous and novel immunolocalization data. Our findings suggest that aggregates in filaminopathy have a largely organized structure of proteins also interacting under physiological conditions. Different filamin C mutations seem to lead to almost identical aggregate compositions. The finding that filamin C was detected as highly abundant protein in aggregates in filaminopathy indicates that our proteomic approach may be suitable to identify new candidate genes among the many MFM patients with so far unknown mutation.
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Affiliation(s)
- Rudolf A Kley
- Department of Neurology, Neuromuscular Center Ruhrgebiet, University Hospital Bergmannsheil, Ruhr-University Bochum, Germany
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Gelfi C, Vasso M, Cerretelli P. Diversity of human skeletal muscle in health and disease: contribution of proteomics. J Proteomics 2011; 74:774-95. [PMID: 21414428 DOI: 10.1016/j.jprot.2011.02.028] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2010] [Revised: 02/22/2011] [Accepted: 02/26/2011] [Indexed: 12/25/2022]
Abstract
Muscle represents a large fraction of the human body mass. It is an extremely heterogeneous tissue featuring in its contractile structure various proportions of heavy- and light-chain slow type 1 and fast types 2A and 2X myosins, actins, tropomyosins, and troponin complexes as well as metabolic proteins (enzymes and most of the players of the so-called excitation-transcription coupling). Muscle is characterized by wide plasticity, i.e. capacity to adjust size and functional properties in response to endogenous and exogenous influences. Over the last decade, proteomics has become a crucial technique for the assessment of muscle at the molecular level and the investigation of its functional changes. Advantages and shortcomings of recent techniques for muscle proteome analysis are discussed. Data from differential proteomics applied to healthy individuals in normal and unusual environments (hypoxia and cold), in exercise, immobilization, aging and to patients with neuromuscular hereditary disorders (NMDs), inclusion body myositis and insulin resistance are summarized, critically discussed and, when required, compared with homologous data from pertinent animal models. The advantages as well as the limits of proteomics in view of the identification of new biomarkers are evaluated.
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Affiliation(s)
- Cecilia Gelfi
- Dipartimento di Scienze e Tecnologie Biomediche, Università degli Studi di Milano, Milan, Italy.
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12
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Ohlendieck K. Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques. Skelet Muscle 2011; 1:6. [PMID: 21798084 PMCID: PMC3143904 DOI: 10.1186/2044-5040-1-6] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2010] [Accepted: 02/01/2011] [Indexed: 01/08/2023] Open
Abstract
Background Skeletal muscle fibres represent one of the most abundant cell types in mammals. Their highly specialised contractile and metabolic functions depend on a large number of membrane-associated proteins with very high molecular masses, proteins with extensive posttranslational modifications and components that exist in highly complex supramolecular structures. This makes it extremely difficult to perform conventional biochemical studies of potential changes in protein clusters during physiological adaptations or pathological processes. Results Skeletal muscle proteomics attempts to establish the global identification and biochemical characterisation of all members of the muscle-associated protein complement. A considerable number of proteomic studies have employed large-scale separation techniques, such as high-resolution two-dimensional gel electrophoresis or liquid chromatography, and combined them with mass spectrometry as the method of choice for high-throughput protein identification. Muscle proteomics has been applied to the comprehensive biochemical profiling of developing, maturing and aging muscle, as well as the analysis of contractile tissues undergoing physiological adaptations seen in disuse atrophy, physical exercise and chronic muscle transformation. Biomedical investigations into proteome-wide alterations in skeletal muscle tissues were also used to establish novel biomarker signatures of neuromuscular disorders. Importantly, mass spectrometric studies have confirmed the enormous complexity of posttranslational modifications in skeletal muscle proteins. Conclusions This review critically examines the scientific impact of modern muscle proteomics and discusses its successful application for a better understanding of muscle biology, but also outlines its technical limitations and emerging techniques to establish new biomarker candidates.
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Affiliation(s)
- Kay Ohlendieck
- Muscle Biology Laboratory, Department of Biology, National University of Ireland, Maynooth, County Kildare, Ireland.
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Sela I, Milman Krentsis I, Shlomai Z, Sadeh M, Dabby R, Argov Z, Ben-Bassat H, Mitrani-Rosenbaum S. The proteomic profile of hereditary inclusion body myopathy. PLoS One 2011; 6:e16334. [PMID: 21305017 PMCID: PMC3031555 DOI: 10.1371/journal.pone.0016334] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2010] [Accepted: 12/10/2010] [Indexed: 11/17/2022] Open
Abstract
Hereditary inclusion body myopathy (HIBM) is an adult onset, slowly progressive distal and proximal myopathy. Although the causing gene, GNE, encodes for a key enzyme in the biosynthesis of sialic acid, its primary function in HIBM remains unknown. The goal of this study was to unravel new clues on the biological pathways leading to HIBM by proteomic comparison. Muscle cultures and biopsies were analyzed by two dimensional gel electrophoresis (2-DE) and the same biopsy extracts by isobaric tag for relative and absolute quantitation (iTRAQ). Proteins that were differentially expressed in all HIBM specimens versus all controls in each analysis were identified by mass spectrometry. The muscle cultures 2-DE analysis yielded 41 such proteins, while the biopsies 2-DE analysis showed 26 differentially expressed proteins. Out of the 400 proteins identified in biopsies by iTRAQ, 41 showed altered expression. In spite of the different nature of specimens (muscle primary cultures versus muscle biopsies) and of the different methods applied (2D gels versus iTRAQ) the differentially expressed proteins identified in each of the three analyses where related mainly to the same pathways, ubiquitination, stress response and mitochondrial processes, but the most robust cluster (30%) was assigned to cytoskeleton and sarcomere organization. Taken together, these findings indicate a possible novel function of GNE in the muscle filamentous apparatus that could be involved in the pathogenesis of HIBM.
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Affiliation(s)
- Ilan Sela
- Goldyne Savad Institute for Gene Therapy, Hadassah Hebrew University Medical Center, Jerusalem, Israel
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Ohlendieck K. Proteomics of skeletal muscle glycolysis. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2010; 1804:2089-101. [DOI: 10.1016/j.bbapap.2010.08.001] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2010] [Revised: 08/01/2010] [Accepted: 08/05/2010] [Indexed: 10/19/2022]
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Ohlendieck K. Proteomics of skeletal muscle differentiation, neuromuscular disorders and fiber aging. Expert Rev Proteomics 2010; 7:283-96. [PMID: 20377394 DOI: 10.1586/epr.10.2] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Skeletal muscle fibers are the most abundant cellular structure in the human body. Altered neuromuscular activity, traumatic injury or genetic abnormalities have profound effects on muscle integrity, tissue mass, fiber type distribution, metabolic integration and contractile function. The recent application of mass spectrometry-based proteomics has decisively advanced our molecular understanding of numerous physiological adaptations in healthy muscle and pathophysiological mechanisms associated with major muscle diseases. Skeletal muscle proteomics promises to play a major role in the establishment of a disease-specific biomarker signature for the major classes of neuromuscular disorders. New muscle markers will be crucial for the development of improved diagnostics, the monitoring of disease progression, evaluation of drug action and the identification of novel therapeutic targets.
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Affiliation(s)
- Kay Ohlendieck
- Department of Biology, National University of Ireland, Maynooth, Co. Kildare, Ireland.
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16
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De la Torre C, Illa I, Faulkner G, Soria L, Robles-Cedeño R, Dominguez-Perles R, De Luna N, Gallardo E. Proteomics identification of differentially expressed proteins in the muscle of dysferlin myopathy patients. Proteomics Clin Appl 2009; 3:486-97. [PMID: 21136973 DOI: 10.1002/prca.200800087] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2008] [Indexed: 01/16/2023]
Abstract
The muscular dystrophies are a large and heterogeneous group of neuromuscular disorders that can be classified according to the mode of inheritance, the clinical phenotype and the molecular defect. To better understand the pathological mechanisms of dysferlin myopathy we compared the protein-expression pattern in the muscle biopsies of six patients with this disease with six patients with limb girdle muscular dystrophy 2A, five with facioscapulohumeral dystrophy and six normal control subjects. To investigate differences in the expression levels of skeletal muscle proteins we used 2-DE and MS. Western blot or immunohistochemistry confirmed relevant results. The study showed specific increase expression of proteins involved in fast-to-slow fiber type conversion (ankyrin repeat protein 2), type I predominance (phosphorylated forms of slow troponin T), sarcomere stabilization (actinin-associated LIM protein), protein ubiquitination (TRIM 72) and skeletal muscle differentiation (Rho-GDP-dissociation inhibitor ly-GDI) in dysferlin myopathy. As anticipated, we also found differential expression of proteins common to all the muscular dystrophies studied. This comparative proteomic analysis suggests that in dysferlin myopathy (i) the type I fiber predominance is an active process of fiber type conversion rather than a selective loss of type II fibers and (ii) the dysregulation of proteins involved in muscle differentiation further confirms the role of dysferlin in this process.
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Affiliation(s)
- Carolina De la Torre
- Laboratory of Experimental Neurology, Institut de Recerca HSCSP, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Doran P, Donoghue P, O'Connell K, Gannon J, Ohlendieck K. Proteomics of skeletal muscle aging. Proteomics 2009; 9:989-1003. [DOI: 10.1002/pmic.200800365] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Abstract
The collagen VI-related myopathies comprise two major forms, Bethlem myopathy (BM) and Ullrich congenital muscular dystrophy (UCMD), which show a variable combination of muscle wasting and weakness, joint contractures, distal laxity, and respiratory compromise. Specific diagnosis requires molecular genetic testing showing mutation in one of the three genes involved. This review summarizes current treatments, in particular indication for physiotherapy, orthopedic treatment for correction of foot deformity, scoliosis, and flexion contractures of elbows, and treatment of respiratory failure. The turning point in basic research on collagen VI myopathies was the discovery of an unexpected mitochondrial dysfunction as a pathogenetic mechanism underlying the myopathic syndrome seen in Col6a1 null mice. Treatment of Col6a1(-/-) mice with cyclosporin A (CsA) rescued the mitochondrial dysfunction and decreased apoptosis. Similar mitochondrial defects were revealed in cultures of UCMD patients. The results of an open pilot trial with CsA in five patients with collagen VI-related myopathies are summarized and discussed. With the availability of new potential effective treatments, several challenges must be addressed in conducting trials in orphan diseases and in neuromuscular disorders in particular. Outcome measures are discussed in the context of the expected effect of the cure. Randomized clinical trials often are not feasible for rare diseases, and sometimes would be ethically inappropriate. The need to develop alternative outcome measures or biomarkers using platforms such as genomics and proteomics is stressed in this context.
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Affiliation(s)
- Luciano Merlini
- Laboratory of Myology, Department of Medical Genetics, University of Ferrara, Ferrara, Italy.
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Donoghue P, Doran P, Wynne K, Pedersen K, Dunn MJ, Ohlendieck K. Proteomic profiling of chronic low-frequency stimulated fast muscle. Proteomics 2007; 7:3417-30. [PMID: 17708595 DOI: 10.1002/pmic.200700262] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Skeletal muscle fibre transitions occur in many biological processes, in response to alterations in neuromuscular activity, in muscular disorders, during age-induced muscle wasting and in myogenesis. It was therefore of interest to perform a comprehensive proteomic profiling of muscle transformation. Chronic low-frequency stimulation of the rabbit tibialis anterior muscle represents an established model system for studying the response of fast fibres to enhanced neuromuscular activity under conditions of maximum activation. We have conducted a DIGE analysis of unstimulated control specimens versus 14- and 60-day conditioned muscles. A differential expression pattern was observed for 41 protein species with 29 increased and 12 decreased muscle proteins. Identified classes of proteins that are changed during the fast-to-slow transition process belong to the contractile machinery, ion homeostasis, excitation-contraction coupling, capillarization, metabolism and stress response. Results from immunoblotting agreed with the conversion of the metabolic, regulatory and contractile molecular apparatus to support muscle fibres with slower twitch characteristics. Besides confirming established muscle elements as reliable transition markers, this proteomics-based study has established the actin-binding protein cofilin-2 and the endothelial marker transgelin as novel biomarkers for evaluating muscle transformation.
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Affiliation(s)
- Pamela Donoghue
- Proteome Research Centre, UCD Conway Institute, University College Dublin, Dublin, Ireland
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