1
|
Stearns-Reider KM, Hicks MR, Hammond KG, Reynolds JC, Maity A, Kurmangaliyev YZ, Chin J, Stieg AZ, Geisse NA, Hohlbauch S, Kaemmer S, Schmitt LR, Pham TT, Yamauchi K, Novitch BG, Wollman R, Hansen KC, Pyle AD, Crosbie RH. Myoscaffolds reveal laminin scarring is detrimental for stem cell function while sarcospan induces compensatory fibrosis. NPJ Regen Med 2023; 8:16. [PMID: 36922514 PMCID: PMC10017766 DOI: 10.1038/s41536-023-00287-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/22/2023] [Indexed: 03/18/2023] Open
Abstract
We developed an on-slide decellularization approach to generate acellular extracellular matrix (ECM) myoscaffolds that can be repopulated with various cell types to interrogate cell-ECM interactions. Using this platform, we investigated whether fibrotic ECM scarring affected human skeletal muscle progenitor cell (SMPC) functions that are essential for myoregeneration. SMPCs exhibited robust adhesion, motility, and differentiation on healthy muscle-derived myoscaffolds. All SPMC interactions with fibrotic myoscaffolds from dystrophic muscle were severely blunted including reduced motility rate and migration. Furthermore, SMPCs were unable to remodel laminin dense fibrotic scars within diseased myoscaffolds. Proteomics and structural analysis revealed that excessive collagen deposition alone is not pathological, and can be compensatory, as revealed by overexpression of sarcospan and its associated ECM receptors in dystrophic muscle. Our in vivo data also supported that ECM remodeling is important for SMPC engraftment and that fibrotic scars may represent one barrier to efficient cell therapy.
Collapse
Affiliation(s)
- Kristen M Stearns-Reider
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Michael R Hicks
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Physiology and Biophysics, University of California, Irvine, Irvine, CA, 92697, USA
| | - Katherine G Hammond
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Joseph C Reynolds
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Alok Maity
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yerbol Z Kurmangaliyev
- Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Biological Chemistry, HHMI, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jesse Chin
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Adam Z Stieg
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | | | - Sophia Hohlbauch
- Asylum Research, An Oxford Instruments Company, Santa Barbara, CA, 93117, USA
| | - Stefan Kaemmer
- Park Systems, 3040 Olcott St, Santa Clara, CA, 95054, USA
| | - Lauren R Schmitt
- Department of Biochemistry and Molecular Genetics, University of Colorado, Denver, Aurora, CO, 80045, USA
| | - Thanh T Pham
- Department of Biochemistry and Molecular Genetics, University of Colorado, Denver, Aurora, CO, 80045, USA
| | - Ken Yamauchi
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Bennett G Novitch
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Intellectual and Developmental Disabilities Research Center, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Roy Wollman
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Kirk C Hansen
- Department of Biochemistry and Molecular Genetics, University of Colorado, Denver, Aurora, CO, 80045, USA
| | - April D Pyle
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Rachelle H Crosbie
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| |
Collapse
|
2
|
Barnard AM, Hammers DW, Triplett WT, Kim S, Forbes SC, Willcocks RJ, Daniels MJ, Senesac CR, Lott DJ, Arpan I, Rooney WD, Wang RT, Nelson SF, Sweeney HL, Vandenborne K, Walter GA. Evaluating Genetic Modifiers of Duchenne Muscular Dystrophy Disease Progression Using Modeling and MRI. Neurology 2022; 99:e2406-e2416. [PMID: 36240102 PMCID: PMC9687406 DOI: 10.1212/wnl.0000000000201163] [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: 04/14/2021] [Accepted: 07/11/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Duchenne muscular dystrophy (DMD) is a progressive muscle degenerative disorder with a well-characterized disease phenotype but considerable interindividual heterogeneity that is not well understood. The aim of this study was to evaluate the effects of dystrophin variations and genetic modifiers of DMD on rate and age of muscle replacement by fat. METHODS One hundred seventy-five corticosteroid treated participants from the ImagingDMD natural history study underwent repeated magnetic resonance spectroscopy (MRS) of the vastus lateralis (VL) and soleus (SOL) to determine muscle fat fraction (FF). MRS was performed annually in most instances; however, some individuals had additional visits at 3 or 6 monthss intervals. FF changes over time were modeled using nonlinear mixed effects to estimate disease trajectories based on the age that the VL or SOL reached half-maximum change in FF (mu) and the time required for FF change (sigma). Computed mu and sigma values were evaluated for dystrophin variations that have demonstrated the ability to lead to a mild phenotype as well as compared between different genetic polymorphism groups. RESULTS Participants with dystrophin gene deletions amenable to exon 8 skipping (n = 4) had minimal increases in SOL FF and had an increase in VL mu value by 4.4 years compared with a reference cohort (p = 0.039). Participants with nonsense variations within exons that may produce milder phenotypes (n = 11) also had minimal increases in SOL and VL FFs. No differences in estimated FF trajectories were seen for individuals amenable to exon 44 skipping (n = 10). Modeling of the SPP1, LTBP4, and thrombospondin-1 (THBS1) genetic modifiers did not result in significant differences in muscle FF trajectories between genotype groups (p > 0.05); however, trends were noted for the polymorphisms associated with long-range regulation of LTBP4 and THBS1 that deserve further follow-up. DISCUSSION The results of this study link the historically mild phenotypes seen in individuals amenable to exon 8 skipping and with certain nonsense variations with alterations in trajectories of lower extremity muscle replacement by fat.
Collapse
Affiliation(s)
- Alison M Barnard
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - David W Hammers
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - William T Triplett
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Sarah Kim
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Sean C Forbes
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Rebecca J Willcocks
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Michael J Daniels
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Claudia R Senesac
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Donovan J Lott
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Ishu Arpan
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - William D Rooney
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Richard T Wang
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Stanley F Nelson
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - H Lee Sweeney
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Krista Vandenborne
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville
| | - Glenn A Walter
- From the Department of Physical Therapy (A.M.B., W.T.T., S.C.F., R.J.W., C.R.S., D.J.L., K.V.) Pharmacology and Therapeutics (D.W.H., H.L.S.), University of Florida, Gainesville; Center for Pharmacometrics and Systems Pharmacology (S.K.), Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando; Department of Statistics (M.J.D.), University of Florida, Gainesville; Department of Neurology (I.A.), Oregon Health & Science University, Portland; Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; Department of Human Genetics (R.T.W., S.F.N.), University of California Los Angeles, CA; and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville.
| |
Collapse
|
3
|
Zhang X, Alanazi YF, Jowitt TA, Roseman AM, Baldock C. Elastic Fibre Proteins in Elastogenesis and Wound Healing. Int J Mol Sci 2022; 23:4087. [PMID: 35456902 PMCID: PMC9027394 DOI: 10.3390/ijms23084087] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/31/2022] [Accepted: 04/03/2022] [Indexed: 12/30/2022] Open
Abstract
As essential components of our connective tissues, elastic fibres give tissues such as major blood vessels, skin and the lungs their elasticity. Their formation is complex and co-ordinately regulated by multiple factors. In this review, we describe key players in elastogenesis: fibrillin-1, tropoelastin, latent TGFβ binding protein-4, and fibulin-4 and -5. We summarise their roles in elastogenesis, discuss the effect of their mutations on relevant diseases, and describe their interactions involved in forming the elastic fibre network. Moreover, we look into their roles in wound repair for a better understanding of their potential application in tissue regeneration.
Collapse
Affiliation(s)
- Xinyang Zhang
- Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (X.Z.); (T.A.J.)
- School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK;
| | - Yasmene F. Alanazi
- Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia;
| | - Thomas A. Jowitt
- Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (X.Z.); (T.A.J.)
| | - Alan M. Roseman
- School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK;
| | - Clair Baldock
- Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK; (X.Z.); (T.A.J.)
- School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK;
| |
Collapse
|
4
|
Demonbreun AR, Fallon KS, Oosterbaan CC, Vaught LA, Reiser NL, Bogdanovic E, Velez MP, Salamone IM, Page PGT, Hadhazy M, Quattrocelli M, Barefield DY, Wood LD, Gonzalez JP, Morris C, McNally EM. Anti-latent TGFβ binding protein 4 antibody improves muscle function and reduces muscle fibrosis in muscular dystrophy. Sci Transl Med 2021; 13:eabf0376. [PMID: 34516828 PMCID: PMC9559620 DOI: 10.1126/scitranslmed.abf0376] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Duchenne muscular dystrophy, like other muscular dystrophies, is a progressive disorder hallmarked by muscle degeneration, inflammation, and fibrosis. Latent transforming growth factor β (TGFβ) binding protein 4 (LTBP4) is an extracellular matrix protein found in muscle. LTBP4 sequesters and inhibits a precursor form of TGFβ. LTBP4 was originally identified from a genome-wide search for genetic modifiers of muscular dystrophy in mice, where there are two different alleles. The protective form of LTBP4, which contains an insertion of 12 amino acids in the protein’s hinge region, was linked to increased sequestration of latent TGFβ, enhanced muscle membrane stability, and reduced muscle fibrosis. The deleterious form of LTBP4 protein, lacking 12 amino acids, was more susceptible to proteolysis and promoted release of latent TGF-β, and together, these data underscored the functional role of LTBP4’s hinge. Here, we generated a monoclonal human anti-LTBP4 antibody directed toward LTBP4’s hinge region. In vitro, anti-LTBP4 bound LTBP4 protein and reduced LTBP4 proteolytic cleavage. In isolated myofibers, the LTBP4 antibody stabilized the sarcolemma from injury. In vivo, anti-LTBP4 treatment of dystrophic mice protected muscle against force loss induced by eccentric contraction. Anti-LTBP4 treatment also reduced muscle fibrosis and enhanced muscle force production, including in the diaphragm muscle, where respiratory function was improved. Moreover, the anti-LTBP4 in combination with prednisone, a standard of care for Duchenne muscular dystrophy, further enhanced muscle function and protected against injury in mdx mice. These data demonstrate the potential of anti-LTBP4 antibodies to treat muscular dystrophy.
Collapse
Affiliation(s)
- Alexis R Demonbreun
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA.,Department of Pharmacology, Northwestern University, Chicago, IL 60611, USA
| | - Katherine S Fallon
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Claire C Oosterbaan
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Lauren A Vaught
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Nina L Reiser
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Elena Bogdanovic
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Matthew P Velez
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Isabella M Salamone
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Patrick G T Page
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Michele Hadhazy
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Mattia Quattrocelli
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA.,Department of Pharmacology, Northwestern University, Chicago, IL 60611, USA
| | - David Y Barefield
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | | | | | - Elizabeth M McNally
- Center for Genetic Medicine, Northwestern University, Chicago, IL 60611, USA
| |
Collapse
|
5
|
Su CT, Urban Z. LTBP4 in Health and Disease. Genes (Basel) 2021; 12:genes12060795. [PMID: 34071145 PMCID: PMC8224675 DOI: 10.3390/genes12060795] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/14/2021] [Accepted: 05/21/2021] [Indexed: 12/20/2022] Open
Abstract
Latent transforming growth factor β (TGFβ)-binding protein (LTBP) 4, a member of the LTBP family, shows structural homology with fibrillins. Both these protein types are characterized by calcium-binding epidermal growth factor-like repeats interspersed with 8-cysteine domains. Based on its domain composition and distribution, LTBP4 is thought to adopt an extended structure, facilitating the linear deposition of tropoelastin onto microfibrils. In humans, mutations in LTBP4 result in autosomal recessive cutis laxa type 1C, characterized by redundant skin, pulmonary emphysema, and valvular heart disease. LTBP4 is an essential regulator of TGFβ signaling and is related to development, immunity, injury repair, and diseases, playing a central role in regulating inflammation, fibrosis, and cancer progression. In this review, we focus on medical disorders or diseases that may be manipulated by LTBP4 in order to enhance the understanding of this protein.
Collapse
Affiliation(s)
- Chi-Ting Su
- Department of Internal Medicine, Renal Division, National Taiwan University Hospital Yunlin Branch, Douliu 640, Taiwan;
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Department of Medicine, National Taiwan University Cancer Center Hospital, Taipei 106, Taiwan
| | - Zsolt Urban
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
- Correspondence: ; Tel.: +1-412-648-8269
| |
Collapse
|
6
|
Li Y, Burgman B, McGrail DJ, Sun M, Qi D, Shukla SA, Wu E, Capasso A, Lin SY, Wu CJ, Eckhardt SG, Mills GB, Li B, Sahni N, Yi SS. Integrated Genomic Characterization of the Human Immunome in Cancer. Cancer Res 2020; 80:4854-4867. [PMID: 32855206 DOI: 10.1158/0008-5472.can-20-0384] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 07/10/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022]
Abstract
Alterations in immune-related pathways are common hallmarks of cancer. A comprehensive understanding of how cancer mutations rewire immune signaling networks and functional output across cancer types is instrumental to realize the full potential of immunotherapy. Here, we systematically interrogated somatic mutations involved in immune signaling that alter immune responses in patients with cancer. To do so, we developed a Network-based Integrative model to Prioritize Potential immune respondER genes (NIPPER). Identified mutations were enriched in essential protein domains and genes identified by NIPPER were associated with responsiveness to multiple immunotherapy modalities. These genes were used to devise an interactome network propagation framework integrated with drug-associated gene signatures to identify potential immunomodulatory drug candidates. Together, our systems-level analysis results help interpret the heterogeneous immune responses among patients and serve as a resource for future functional studies and targeted therapeutics. SIGNIFICANCE: This study demonstrates that integration of multi-omics data can help identify critical molecular determinants for effective targeted therapeutics.
Collapse
Affiliation(s)
- Yongsheng Li
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas
| | - Brandon Burgman
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Daniel J McGrail
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ming Sun
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dan Qi
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, Texas
| | - Sachet A Shukla
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Erxi Wu
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, Texas.,Departments of Surgery and Pharmaceutical Sciences, Texas A & M University Health Science Center, Colleges of Medicine and Pharmacy, Temple, Texas
| | - Anna Capasso
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Shiaw-Yih Lin
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Catherine J Wu
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - S Gail Eckhardt
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Gordon B Mills
- Department of Cell, Developmental and Cancer Biology, School of Medicine, Oregon Health & Science University, Portland, Oregon.,Precision Oncology, Knight Cancer Institute, Portland, Oregon
| | - Bo Li
- Lyda Hill Department of Bioinformatics, Department of Immunology, UT Southwestern Medical Center, Dallas, Texas.
| | - Nidhi Sahni
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas. .,Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas.,Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, Texas
| | - S Stephen Yi
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas. .,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas.,Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas.,Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, Texas
| |
Collapse
|
7
|
Juban G, Saclier M, Yacoub-Youssef H, Kernou A, Arnold L, Boisson C, Ben Larbi S, Magnan M, Cuvellier S, Théret M, Petrof BJ, Desguerre I, Gondin J, Mounier R, Chazaud B. AMPK Activation Regulates LTBP4-Dependent TGF-β1 Secretion by Pro-inflammatory Macrophages and Controls Fibrosis in Duchenne Muscular Dystrophy. Cell Rep 2019; 25:2163-2176.e6. [PMID: 30463013 DOI: 10.1016/j.celrep.2018.10.077] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 09/06/2018] [Accepted: 10/19/2018] [Indexed: 12/22/2022] Open
Abstract
Chronic inflammation and fibrosis characterize Duchenne muscular dystrophy (DMD). We show that pro-inflammatory macrophages are associated with fibrosis in mouse and human DMD muscle. DMD-derived Ly6Cpos macrophages exhibit a profibrotic activity by sustaining fibroblast production of collagen I. This is mediated by the high production of latent-TGF-β1 due to the higher expression of LTBP4, for which polymorphisms are associated with the progression of fibrosis in DMD patients. Skewing macrophage phenotype via AMPK activation decreases ltbp4 expression by Ly6Cpos macrophages, blunts the production of latent-TGF-β1, and eventually reduces fibrosis and improves DMD muscle force. Moreover, fibro-adipogenic progenitors are the main providers of TGF-β-activating enzymes in mouse and human DMD, leading to collagen production by fibroblasts. In vivo pharmacological inhibition of TGF-β-activating enzymes improves the dystrophic phenotype. Thus, an AMPK-LTBP4 axis in inflammatory macrophages controls the production of TGF-β1, which is further activated by and acts on fibroblastic cells, leading to fibrosis in DMD.
Collapse
Affiliation(s)
- Gaëtan Juban
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Marielle Saclier
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Houda Yacoub-Youssef
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Amel Kernou
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Ludovic Arnold
- Centre d'Immunologie et des Maladies Infectieuses, INSERM U1135, Université Pierre et Marie Curie, Sorbonne Universités, Paris 75013, France
| | - Camille Boisson
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Sabrina Ben Larbi
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Mélanie Magnan
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Sylvain Cuvellier
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Marine Théret
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Basil J Petrof
- Meakins-Christie Laboratories, McGill University, Montreal, QC H4A3J1, Canada; Research Institute of the McGill University Health Centre, Montreal, QC H4A3J1, Canada
| | - Isabelle Desguerre
- Institut Cochin, INSERM U1016, CNRS UMR 8104, Université Paris Descartes, Sorbonne Paris Cité, Paris 75014, France
| | - Julien Gondin
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Rémi Mounier
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France
| | - Bénédicte Chazaud
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Université Lyon, Villeurbanne 69100, France.
| |
Collapse
|
8
|
The "Usual Suspects": Genes for Inflammation, Fibrosis, Regeneration, and Muscle Strength Modify Duchenne Muscular Dystrophy. J Clin Med 2019; 8:jcm8050649. [PMID: 31083420 PMCID: PMC6571893 DOI: 10.3390/jcm8050649] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 01/14/2023] Open
Abstract
Duchenne muscular dystrophy (DMD), the most severe form of dystrophinopathy, is quite homogeneous with regards to its causative biochemical defect, i.e., complete dystrophin deficiency, but not so much with regards to its phenotype. For instance, muscle weakness progresses to the loss of independent ambulation at a variable age, starting from before 10 years, to even after 16 years (with glucocorticoid treatment). Identifying the bases of such variability is relevant for patient counseling, prognosis, stratification in trials, and identification of therapeutic targets. To date, variants in five loci have been associated with variability in human DMD sub-phenotypes: SPP1, LTBP4, CD40, ACTN3, and THBS1. Four of these genes (SPP1, LTBP4, CD40, and THBS1) are implicated in several interconnected molecular pathways regulating inflammatory response to muscle damage, regeneration, and fibrosis; while ACTN3 is known as “the gene for speed”, as it contains a common truncating polymorphism (18% of the general population), which reduces muscle power and sprint performance. Studies leading to the identification of these modifiers were mostly based on a “candidate gene” approach, hence the identification of modifiers in “usual suspect” pathways, which are already known to modify muscle in disease or health. Unbiased approaches that are based on genome mapping have so far been applied only initially, but they will probably represent the focus of future developments in this field, and will hopefully identify novel, “unsuspected” therapeutic targets. In this article, we summarize the state of the art of modifier loci of human dystrophin deficiency, and attempt to assess their relevance and implications on both clinical management and translational research.
Collapse
|
9
|
Weiss RB, Vieland VJ, Dunn DM, Kaminoh Y, Flanigan KM. Long-range genomic regulators of THBS1 and LTBP4 modify disease severity in duchenne muscular dystrophy. Ann Neurol 2018; 84:234-245. [PMID: 30014611 PMCID: PMC6168392 DOI: 10.1002/ana.25283] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 05/30/2018] [Accepted: 06/23/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Duchenne muscular dystrophy (DMD) is a severe X-linked recessive disease caused by loss-of-function dystrophin (DMD) mutations in boys, who typically suffer loss of ambulation by age 12. Previously, we reported that coding variants in latent transforming growth factor beta (TGFβ)-binding protein 4 (LTBP4) were associated with reduced TGFβ signaling and prolonged ambulation (p = 1.0 × 10-3 ) in DMD patients; this result was subsequently replicated by other groups. In this study, we evaluated whether additional DMD modifier genes are observed using whole-genome association in the original cohort. METHODS We performed a genome-wide association study (GWAS) for single-nucleotide polymorphisms (SNPs) influencing loss of ambulation (LOA) in the same cohort of 253 DMD patients used to detect the candidate association with LTBP4 coding variants. Gene expression and chromatin interaction databases were used to fine-map association signals above the threshold for genome-wide significance. RESULTS Despite the small sample size, two loci associated with prolonged ambulation met genome-wide significance and were tagged by rs2725797 (chr15, p = 6.6 × 10-9 ) and rs710160 (chr19, p = 4.7 × 10-8 ). Gene expression and chromatin interaction data indicated that the latter SNP tags regulatory variants of LTBP4, whereas the former SNP tags regulatory variants of thrombospondin-1 (THBS1): an activator of TGFβ signaling by direct binding to LTBP4 and an inhibitor of proangiogenic nitric oxide signaling. INTERPRETATION Together with previous evidence implicating LTBP4, the THBS1 modifier locus emphasizes the role that common regulatory variants in gene interaction networks can play in mitigating disease progression in muscular dystrophy. Ann Neurol 2018;84:234-245.
Collapse
Affiliation(s)
- Robert B. Weiss
- Department of Human Genetics, University of Utah, Salt Lake City, Utah
| | - Veronica J. Vieland
- Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio
- Department of Pediatrics, The Ohio State University, Columbus, Ohio
- Department of Statistics,The Ohio State University, Columbus, Ohio
| | - Diane M. Dunn
- Department of Human Genetics, University of Utah, Salt Lake City, Utah
| | - Yuuki Kaminoh
- Center for Gene Therapy, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio
| | - Kevin M. Flanigan
- Center for Gene Therapy, The Research Institute at Nationwide Children’s Hospital, Columbus, Ohio
- Department of Pediatrics, The Ohio State University, Columbus, Ohio
- Department of Neurology, The Ohio State University, Columbus, Ohio
| |
Collapse
|
10
|
Fallon JR, McNally EM. Non-Glycanated Biglycan and LTBP4: Leveraging the extracellular matrix for Duchenne Muscular Dystrophy therapeutics. Matrix Biol 2018; 68-69:616-627. [PMID: 29481844 DOI: 10.1016/j.matbio.2018.02.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Revised: 02/18/2018] [Accepted: 02/19/2018] [Indexed: 12/15/2022]
Abstract
The extracellular matrix (ECM) plays key roles in normal and diseased skeletal and cardiac muscle. In healthy muscle the ECM is essential for transmitting contractile force, maintaining myofiber integrity and orchestrating cellular signaling. Duchenne Muscular Dystrophy (DMD) is caused by loss of dystrophin, a cytosolic protein that anchors a transmembrane complex and serves as a vital link between the actin cytoskeleton and the basal lamina. Loss of dystrophin leads to membrane fragility and impaired signaling, resulting in myofiber death and cycles of inflammation and regeneration. Fibrosis is also a cardinal feature of DMD. In this review, we will focus on two cases where understanding the normal function and regulation of ECM in muscle has led to the discovery of candidate therapeutics for DMD. Biglycan is a small leucine rich repeat ECM protein present as two glycoforms in muscle that have dramatically different functions. One widely expressed form is biglycan proteoglycan (PG) that bears two chondroitin sulfate GAG chains (typically chondroitin sulfate) and two N-linked carbohydrates. The second glycoform, referred to as 'NG' (non-glycanated) biglycan, lacks the GAG side chains. NG, but not PG biglycan recruits utrophin, an autosomal paralog of dystrophin, and an NOS-containing signaling complex to the muscle cell membrane. Recombinant NG biglycan can be systemically delivered to dystrophic mice where it upregulates utrophin at the membrane and improves muscle health and function. An optimized version of NG biglycan, 'TVN-102', is under development as a candidate therapeutic for DMD. A second matrix-embedded protein being evaluated for therapeutic potential is latent TGFβ binding protein 4 (LTBP4). Identified in a genomic screen for modifiers of muscular dystrophy, LTBP4 binds both TGFβ and myostatin. Genetic studies identified the hinge region of LTBP4 as linked to TGFβ release and contributing to the "hyper-TGFβ" signaling state that promotes fibrosis in muscular dystrophy. This hinge region can be stabilized by antibodies directed towards this domain. Stabilizing the hinge region of LTBP4 is expected to reduce latent TGFβ release and thus reduce fibrosis.
Collapse
Affiliation(s)
- Justin R Fallon
- Dept. of Neuroscience, Brown University, Providence, RI 02912, United States.
| | - Elizabeth M McNally
- Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| |
Collapse
|
11
|
A 3-gene panel improves the prediction of left ventricular dysfunction after acute myocardial infarction. Int J Cardiol 2018; 254:28-35. [PMID: 29407108 DOI: 10.1016/j.ijcard.2017.10.109] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 10/16/2017] [Accepted: 10/31/2017] [Indexed: 12/26/2022]
Abstract
BACKGROUND Identification of patients at risk of poor outcome after acute myocardial infarction (MI) would allow tailoring healthcare to each individual. However, lack of prognostication tools renders this task challenging. Previous investigations suggested that blood transcriptome analysis may inform about prognosis after MI. We aim to independently confirm the value of gene expression profiles in the blood to predict left ventricular (LV) dysfunction after MI. METHODS AND RESULTS Five genes (LMNB1, MMP9, TGFBR1, LTBP4 and TNXB) selected from previous studies were measured in peripheral blood samples obtained at reperfusion in 449 MI patients. 79 patients had LV dysfunction as attested by an ejection fraction (EF) ≤40% at 4-month follow-up and 370 patients had a preserved LV function (EF>40%). LMNB1, MMP9 and TGFBR1 were up-regulated in patients with LV dysfunction and LTBP4 was down-regulated, as compared with patients with preserved LV function. The 5 genes were significant univariate predictors of LV dysfunction. In multivariable analyses adjusted with traditional risk factors and corrected for model overfitting, a panel of 3 genes - TNXB, TGFBR1 and LTBP4 - improved the prediction of a clinical model (p=0.00008) and provided a net reclassification index of 0.45 [0.23-0.69], p=0.0002 and an integrated discrimination improvement of 0.05 [0.02-0.09], p=0.001. Bootstrap internal validation confirmed the incremental predictive value of the 3-gene panel. CONCLUSION A 3-gene panel can aid to predict LV dysfunction after MI. Further independent validation is required before considering these findings for molecular diagnostic assay development.
Collapse
|
12
|
Hightower RM, Alexander MS. Genetic modifiers of Duchenne and facioscapulohumeral muscular dystrophies. Muscle Nerve 2018; 57:6-15. [PMID: 28877560 PMCID: PMC5759757 DOI: 10.1002/mus.25953] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2017] [Indexed: 01/05/2023]
Abstract
Muscular dystrophy is defined as the progressive wasting of skeletal muscles that is caused by inherited or spontaneous genetic mutations. Next-generation sequencing has greatly improved the accuracy and speed of diagnosis for different types of muscular dystrophy. Advancements in depth of coverage, convenience, and overall reduced cost have led to the identification of genetic modifiers that are responsible for phenotypic variability in affected patients. These genetic modifiers have been postulated to explain key differences in disease phenotypes, including age of loss of ambulation, steroid responsiveness, and the presence or absence of cardiac defects in patients with the same form of muscular dystrophy. This review highlights recent findings on genetic modifiers of Duchenne and facioscapulohumeral muscular dystrophies based on animal and clinical studies. These genetic modifiers hold great promise to be developed into novel therapeutic targets for the treatment of muscular dystrophies. Muscle Nerve 57: 6-15, 2018.
Collapse
Affiliation(s)
- Rylie M. Hightower
- University of Alabama at Birmingham Graduate School of Biomedical Sciences, Birmingham, AL 35294
| | - Matthew S. Alexander
- Department of Pediatrics, Division of Neurology at Children’s of Alabama and the University of Alabama at Birmingham, Birmingham, AL, 35294
- Department of Genetics, the University of Alabama at Birmingham, Birmingham, AL, 35294
| |
Collapse
|
13
|
Quattrocelli M, Capote J, Ohiri JC, Warner JL, Vo AH, Earley JU, Hadhazy M, Demonbreun AR, Spencer MJ, McNally EM. Genetic modifiers of muscular dystrophy act on sarcolemmal resealing and recovery from injury. PLoS Genet 2017; 13:e1007070. [PMID: 29065150 PMCID: PMC5669489 DOI: 10.1371/journal.pgen.1007070] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 11/03/2017] [Accepted: 10/11/2017] [Indexed: 12/17/2022] Open
Abstract
Genetic disruption of the dystrophin complex produces muscular dystrophy characterized by a fragile muscle plasma membrane leading to excessive muscle degeneration. Two genetic modifiers of Duchenne Muscular Dystrophy implicate the transforming growth factor β (TGFβ) pathway, osteopontin encoded by the SPP1 gene and latent TGFβ binding protein 4 (LTBP4). We now evaluated the functional effect of these modifiers in the context of muscle injury and repair to elucidate their mechanisms of action. We found that excess osteopontin exacerbated sarcolemmal injury, and correspondingly, that loss of osteopontin reduced injury extent both in isolated myofibers and in muscle in vivo. We found that ablation of osteopontin was associated with reduced expression of TGFβ and TGFβ-associated pathways. We identified that increased TGFβ resulted in reduced expression of Anxa1 and Anxa6, genes encoding key components of the muscle sarcolemma resealing process. Genetic manipulation of Ltbp4 in dystrophic muscle also directly modulated sarcolemmal resealing, and Ltbp4 alleles acted in concert with Anxa6, a distinct modifier of muscular dystrophy. These data provide a model in which a feed forward loop of TGFβ and osteopontin directly impacts the capacity of muscle to recover from injury, and identifies an intersection of genetic modifiers on muscular dystrophy.
Collapse
MESH Headings
- Animals
- Annexin A1/genetics
- Annexin A1/metabolism
- Annexin A6/genetics
- Annexin A6/metabolism
- Female
- Gene Expression Regulation
- Genes, Modifier
- Latent TGF-beta Binding Proteins/physiology
- Male
- Mice
- Mice, Inbred DBA
- Mice, Knockout
- Muscle, Skeletal/injuries
- Muscle, Skeletal/physiology
- Muscular Dystrophy, Animal/genetics
- Muscular Dystrophy, Animal/metabolism
- Muscular Dystrophy, Animal/pathology
- Osteopontin/genetics
- Osteopontin/metabolism
- Receptors, Transforming Growth Factor beta/genetics
- Receptors, Transforming Growth Factor beta/metabolism
- Recovery of Function
- Sarcolemma/physiology
Collapse
Affiliation(s)
- Mattia Quattrocelli
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Joanna Capote
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Joyce C. Ohiri
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - James L. Warner
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Andy H. Vo
- Committee on Development, Regeneration, and Stem Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Judy U. Earley
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Michele Hadhazy
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Alexis R. Demonbreun
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Melissa J. Spencer
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Elizabeth M. McNally
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| |
Collapse
|
14
|
Quattrocelli M, Spencer MJ, McNally EM. Outside in: The matrix as a modifier of muscular dystrophy. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2017; 1864:572-579. [PMID: 28011285 PMCID: PMC5262521 DOI: 10.1016/j.bbamcr.2016.12.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 12/14/2016] [Accepted: 12/19/2016] [Indexed: 02/07/2023]
Abstract
Muscular dystrophies are genetic conditions leading to muscle degeneration and often, impaired regeneration. Duchenne Muscular Dystrophy is a prototypical form of muscular dystrophy, and like other forms of genetically inherited muscle diseases, pathological progression is variable. Variability in muscular dystrophy can arise from differences in the manner in which the primary mutation impacts the affected protein's function; however, clinical heterogeneity also derives from secondary mutations in other genes that can enhance or reduce pathogenic features of disease. These genes, called genetic modifiers, regulate the pathophysiological context of dystrophic degeneration and regeneration. Understanding the mechanistic links between genetic modifiers and dystrophic progression sheds light on pathologic remodeling, and provides novel avenues to therapeutically intervene to reduce muscle degeneration. Based on targeted genetic approaches and unbiased genomewide screens, several modifiers have been identified for muscular dystrophy, including extracellular agonists of signaling cascades. This review will focus on identification and possible mechanisms of recently identified modifiers for muscular dystrophy, including osteopontin, latent TGFβ binding protein 4 (LTBP4) and Jagged1. Moreover, we will review the investigational approaches that aim to target modifier pathways and thereby counteract dystrophic muscle wasting.
Collapse
Affiliation(s)
| | - Melissa J Spencer
- Dept of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | |
Collapse
|
15
|
Hogarth MW, Houweling PJ, Thomas KC, Gordish-Dressman H, Bello L, Pegoraro E, Hoffman EP, Head SI, North KN. Evidence for ACTN3 as a genetic modifier of Duchenne muscular dystrophy. Nat Commun 2017; 8:14143. [PMID: 28139640 PMCID: PMC5290331 DOI: 10.1038/ncomms14143] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 11/22/2016] [Indexed: 01/01/2023] Open
Abstract
Duchenne muscular dystrophy (DMD) is characterized by muscle degeneration and progressive weakness. There is considerable inter-patient variability in disease onset and progression, which can confound the results of clinical trials. Here we show that a common null polymorphism (R577X) in ACTN3 results in significantly reduced muscle strength and a longer 10 m walk test time in young, ambulant patients with DMD; both of which are primary outcome measures in clinical trials. We have developed a double knockout mouse model, which also shows reduced muscle strength, but is protected from stretch-induced eccentric damage with age. This suggests that α-actinin-3 deficiency reduces muscle performance at baseline, but ameliorates the progression of dystrophic pathology. Mechanistically, we show that α-actinin-3 deficiency triggers an increase in oxidative muscle metabolism through activation of calcineurin, which likely confers the protective effect. Our studies suggest that ACTN3 R577X genotype is a modifier of clinical phenotype in DMD patients.
Collapse
Affiliation(s)
- Marshall W Hogarth
- Institute for Neuroscience and Muscle Research, The Children's Hospital Westmead, New South Wales 2145, Australia.,Discipline of Paediatrics and Child Health, Faculty of Medicine, University of Sydney, New South Wales 2006, Australia
| | - Peter J Houweling
- Institute for Neuroscience and Muscle Research, The Children's Hospital Westmead, New South Wales 2145, Australia.,School of Medical Sciences, University of New South Wales, New South Wales 2052, Australia.,Murdoch Childrens Research Institute, Melbourne, Victoria 3052, Australia.,Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Kristen C Thomas
- Institute for Neuroscience and Muscle Research, The Children's Hospital Westmead, New South Wales 2145, Australia
| | - Heather Gordish-Dressman
- Research Centre for Genetic Medicine, Children's National Medical Centre, Washington DC 20010, USA
| | - Luca Bello
- Research Centre for Genetic Medicine, Children's National Medical Centre, Washington DC 20010, USA.,Department of Neurosciences, University of Padova, Padova 35122, Italy
| | | | - Elena Pegoraro
- Department of Neurosciences, University of Padova, Padova 35122, Italy
| | - Eric P Hoffman
- Research Centre for Genetic Medicine, Children's National Medical Centre, Washington DC 20010, USA
| | - Stewart I Head
- School of Medical Sciences, University of New South Wales, New South Wales 2052, Australia
| | - Kathryn N North
- Institute for Neuroscience and Muscle Research, The Children's Hospital Westmead, New South Wales 2145, Australia.,Discipline of Paediatrics and Child Health, Faculty of Medicine, University of Sydney, New South Wales 2006, Australia.,Murdoch Childrens Research Institute, Melbourne, Victoria 3052, Australia.,Department of Paediatrics, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria 3010, Australia
| |
Collapse
|