Proteomic and bioinformatic analyses of spinal cord injury‑induced skeletal muscle atrophy in rats

Mol Med Rep. 2016 Jul;14(1):165-74. doi: 10.3892/mmr.2016.5272. Epub 2016 May 13.

Abstract

Spinal cord injury (SCI) may result in skeletal muscle atrophy. Identifying diagnostic biomarkers and effective targets for treatment is an important challenge in clinical work. The aim of the present study is to elucidate potential biomarkers and therapeutic targets for SCI‑induced muscle atrophy (SIMA) using proteomic and bioinformatic analyses. The protein samples from rat soleus muscle were collected at different time points following SCI injury and separated by two‑dimensional gel electrophoresis and compared with the sham group. The identities of these protein spots were analyzed by mass spectrometry (MS). MS demonstrated that 20 proteins associated with muscle atrophy were differentially expressed. Bioinformatic analyses indicated that SIMA changed the expression of proteins associated with cellular, developmental, immune system and metabolic processes, biological adhesion and localization. The results of the present study may be beneficial in understanding the molecular mechanisms of SIMA and elucidating potential biomarkers and targets for the treatment of muscle atrophy.

MeSH terms

  • Animals
  • Biomarkers
  • Computational Biology* / methods
  • Disease Models, Animal
  • Female
  • Muscle, Skeletal / pathology*
  • Muscular Atrophy / etiology*
  • Muscular Atrophy / pathology*
  • Proteome*
  • Proteomics* / methods
  • Rats
  • Severity of Illness Index
  • Spinal Cord Injuries / complications*
  • Spinal Cord Injuries / diagnosis
  • Spinal Cord Injuries / metabolism*

Substances

  • Biomarkers
  • Proteome