ArticleMolecular medicine reports2016
Proteomic and bioinformatic analyses of spinal cord injury‑induced skeletal muscle atrophy in rats.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Kurarinone, a flavonoid from Radix Sophorae Flavescentis, inhibits RANKL-induced osteoclastogenesis in mouse bone marrow-derived monocyte/macrophages.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury.Scientific reports · 2021Article
- Low‑frequency pulsed electromagnetic field promotes functional recovery, reduces inflammation and oxidative stress, and enhances HSP70 expression following spinal cord injury.Molecular medicine reports · 2019Article
- Effects of ursolic acid on sub-lesional muscle pathology in a contusion model of spinal cord injury.PloS one · 2018Article
- A Network Pharmacology Approach to Determine the Active Components and Potential Targets of Curculigo Orchioides in the Treatment of Osteoporosis.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
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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.
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