Immune response and mitochondrial metabolism are commonly deregulated in DMD and aging skeletal muscle.

Daniel Baron, Armelle Magot, Gérard Ramstein, Marja Steenman, Guillemette Fayet, Catherine Chevalier, Philippe Jourdon, Rémi Houlgatte, Frédérique Savagner, Yann Pereon
Author Information
  1. Daniel Baron: INSERM, UMR915, Nantes, France. daniel.baron@inserm.fr

Abstract

Duchenne Muscular Dystrophy (DMD) is a complex process involving multiple pathways downstream of the primary genetic insult leading to fatal muscle degeneration. Aging muscle is a multifactorial neuromuscular process characterized by impaired muscle regeneration leading to progressive atrophy. We hypothesized that these chronic atrophying situations may share specific myogenic adaptative responses at transcriptional level according to tissue remodeling. Muscle biopsies from four young DMD and four AGED subjects were referred to a group of seven muscle biopsies from young subjects without any neuromuscular disorder and explored through a dedicated expression microarray. We identified 528 differentially expressed genes (out of 2,745 analyzed), of which 328 could be validated by an exhaustive meta-analysis of public microarray datasets referring to DMD and Aging in skeletal muscle. Among the 328 validated co-expressed genes, 50% had the same expression profile in both groups and corresponded to immune/fibrosis responses and mitochondrial metabolism. Generalizing these observed meta-signatures with large compendia of public datasets reinforced our results as they could be also identified in other pathological processes and in diverse physiological conditions. Focusing on the common gene signatures in these two atrophying conditions, we observed enrichment in motifs for candidate transcription factors that may coordinate either the immune/fibrosis responses (ETS1, IRF1, NF1) or the mitochondrial metabolism (ESRRA). Deregulation in their expression could be responsible, at least in part, for the same transcriptome changes initiating the chronic muscle atrophy. This study suggests that distinct pathophysiological processes may share common gene responses and pathways related to specific transcription factors.

References

  1. Proc Natl Acad Sci U S A. 2001 Dec 4;98(25):14440-5 [PMID: 11717410]
  2. Dev Dyn. 1995 Mar;202(3):302-11 [PMID: 7780179]
  3. Bioinformatics. 2005 Jan 15;21(2):171-8 [PMID: 15308542]
  4. Lancet. 2005 Feb 5-11;365(9458):488-92 [PMID: 15705458]
  5. Eur J Heart Fail. 2005 Mar 2;7(2):157-65 [PMID: 15701461]
  6. Physiology (Bethesda). 2008 Jun;23:160-70 [PMID: 18556469]
  7. PLoS One. 2009 Oct 01;4(10):e7249 [PMID: 19794913]
  8. Neurol Clin. 1998 Aug;16(3):659-69 [PMID: 9666043]
  9. BMC Genomics. 2007 Oct 04;8:357 [PMID: 17916255]
  10. Genome Res. 2004 Jun;14(6):1085-94 [PMID: 15173114]
  11. Nat Med. 1997 Sep;3(9):970-7 [PMID: 9288722]
  12. PLoS One. 2008;3(12):e4001 [PMID: 19104654]
  13. Gene. 2007 Oct 15;401(1-2):12-8 [PMID: 17651921]
  14. Bioinformatics. 2011 Mar 1;27(5):725-6 [PMID: 21216776]
  15. Physiol Rev. 2002 Apr;82(2):291-329 [PMID: 11917091]
  16. Cancer Res. 2002 Aug 1;62(15):4427-33 [PMID: 12154050]
  17. Neuromuscul Disord. 2002 Jun;12(5):484-93 [PMID: 12031622]
  18. J Membr Biol. 1993 May;133(3):243-51 [PMID: 8392585]
  19. Bioinformatics. 2009 Jun 15;25(12):1543-9 [PMID: 19376825]
  20. BMC Bioinformatics. 2008 Dec 18;9:548 [PMID: 19094235]
  21. Curr Aging Sci. 2011 Dec;4(3):209-20 [PMID: 21529328]
  22. FASEB J. 2004 Jan;18(1):39-51 [PMID: 14718385]
  23. Muscle Nerve. 2004 Feb;29(2):191-7 [PMID: 14755482]
  24. Mol Cancer. 2003 Aug 20;2:29 [PMID: 12971829]
  25. BMC Genomics. 2011 Feb 16;12:113 [PMID: 21324190]
  26. Biol Reprod. 2005 Nov;73(5):959-66 [PMID: 16014816]
  27. Clin Genet. 2006 Jul;70(1):1-13 [PMID: 16813595]
  28. Ann Neurol. 1995 Jan;37(1):24-9 [PMID: 7818253]
  29. N Engl J Med. 1996 Dec 19;335(25):1897-905 [PMID: 8948566]
  30. J Biol Chem. 2003 Mar 14;278(11):9013-8 [PMID: 12522104]
  31. Cytokine. 2010 Apr;50(1):1-14 [PMID: 20036577]
  32. Mech Ageing Dev. 1994 Oct 20;76(2-3):215-24 [PMID: 7885066]
  33. Proc Natl Acad Sci U S A. 2001 Apr 24;98(9):5093-8 [PMID: 11309484]
  34. Physiol Genomics. 2005 Aug 11;22(3):283-91 [PMID: 15855387]
  35. BMC Med Genomics. 2009 May 28;2:31 [PMID: 19476647]
  36. Hum Mol Genet. 1995;4 Spec No:1711-6 [PMID: 8541869]
  37. J Natl Cancer Inst. 2007 Jan 17;99(2):147-57 [PMID: 17227998]
  38. Free Radic Biol Med. 1998 Nov 15;25(8):964-72 [PMID: 9840742]
  39. Exp Gerontol. 2006 Dec;41(12):1234-8 [PMID: 17052879]
  40. FASEB J. 2007 Jan;21(1):140-55 [PMID: 17116744]
  41. PLoS Med. 2008 Sep 30;5(9):e184 [PMID: 18767902]
  42. Nutr Rev. 2003 May;61(5 Pt 1):157-67 [PMID: 12822704]
  43. Curr Genomics. 2008 Dec;9(8):525-34 [PMID: 19516959]
  44. Endocr Rev. 2008 Oct;29(6):677-96 [PMID: 18664618]
  45. Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50 [PMID: 16199517]
  46. Mol Syst Biol. 2009;5:307 [PMID: 19756046]
  47. J Clin Invest. 2000 Jun;105(12):1669-74 [PMID: 10862780]
  48. Sports Med. 2004;34(10):663-79 [PMID: 15335243]
  49. Ageing Res Rev. 2006 May;5(2):179-95 [PMID: 16647308]
  50. FEBS J. 2010 Feb;277(3):713-25 [PMID: 20067526]
  51. Hum Mol Genet. 2011 Jul 15;20(14):2697-709 [PMID: 21478499]
  52. J Appl Physiol (1985). 2001 Aug;91(2):534-51 [PMID: 11457764]
  53. BMC Bioinformatics. 2002;3:4 [PMID: 11936955]
  54. PLoS One. 2010 Jul 07;5(7):e11468 [PMID: 20628647]
  55. Nucleic Acids Res. 2007 Jan;35(Database issue):D26-31 [PMID: 17148475]
  56. Science. 2001 Nov 23;294(5547):1704-8 [PMID: 11679633]
  57. J Comput Biol. 2000 Feb-Apr;7(1-2):203-14 [PMID: 10890397]
  58. Proc Natl Acad Sci U S A. 1993 Apr 15;90(8):3710-4 [PMID: 8475120]
  59. J Cell Mol Med. 2010 Jun;14(6B):1443-52 [PMID: 19793385]
  60. Brain. 2006 May;129(Pt 5):1249-59 [PMID: 16537564]
  61. Nucleic Acids Res. 2004 Oct 08;32(18):5349-58 [PMID: 15475389]
  62. Appl Physiol Nutr Metab. 2008 Feb;33(1):124-9 [PMID: 18347662]
  63. Proc Natl Acad Sci U S A. 1990 May;87(10):3723-7 [PMID: 2187191]
  64. Free Radic Biol Med. 1999 Feb;26(3-4):303-8 [PMID: 9895220]
  65. J Gerontol A Biol Sci Med Sci. 1995 Nov;50 Spec No:5-8 [PMID: 7493218]
  66. BMC Med Inform Decis Mak. 2006 Jun 21;6:27 [PMID: 16790051]

MeSH Term

Adaptive Immunity
Adolescent
Aging
Child
Cluster Analysis
Humans
In Vitro Techniques
Interferon Regulatory Factor-1
Male
Mitochondria
Muscle, Skeletal
Muscular Dystrophy, Duchenne
Neurofibromin 1
Oligonucleotide Array Sequence Analysis
Proto-Oncogene Protein c-ets-1
Receptors, Estrogen
Reverse Transcriptase Polymerase Chain Reaction
ERRalpha Estrogen-Related Receptor

Chemicals

ETS1 protein, human
IRF1 protein, human
Interferon Regulatory Factor-1
Neurofibromin 1
Proto-Oncogene Protein c-ets-1
Receptors, Estrogen

Word Cloud

Created with Highcharts 10.0.0muscleDMDresponsesmayexpressionmitochondrialmetabolismprocesspathwaysleadingAgingneuromuscularatrophychronicatrophyingsharespecificbiopsiesfouryoungsubjectsmicroarrayidentifiedgenes328validatedpublicdatasetsskeletalimmune/fibrosisobservedprocessesconditionscommongenetranscriptionfactorsDuchenneMuscularDystrophycomplexinvolvingmultipledownstreamprimarygeneticinsultfataldegenerationmultifactorialcharacterizedimpairedregenerationprogressivehypothesizedsituationsmyogenicadaptativetranscriptionallevelaccordingtissueremodelingMuscleAGEDreferredgroupsevenwithoutdisorderexploreddedicated528differentiallyexpressed2745analyzedexhaustivemeta-analysisreferringAmongco-expressed50%profilegroupscorrespondedGeneralizingmeta-signatureslargecompendiareinforcedresultsalsopathologicaldiversephysiologicalFocusingsignaturestwoenrichmentmotifscandidatecoordinateeitherETS1IRF1NF1ESRRADeregulationresponsibleleastparttranscriptomechangesinitiatingstudysuggestsdistinctpathophysiologicalrelatedImmuneresponsecommonlyderegulatedaging

Similar Articles

Cited By