O'Connell Kathleen, Gannon Joan, Doran Philip, Ohlendieck Kay
Department of Biology, National University of Ireland, Co. Kildare, Ireland.
Int J Mol Med. 2007 Aug;20(2):145-53.
Extended longevity is often accompanied by frailty and increased susceptibility to a variety of crippling disorders. One of the most striking features of human aging is sarcopenia, which is defined as the age-related decline in skeletal muscle mass and strength. Although various metabolic and functional defects in aging muscle fibres have been described over the last decade, it is not known whether a pathophysiological hierarchy exists within degenerative pathways leading to muscle wasting. Hence, in order to identify novel biomarkers of age-dependent skeletal muscle degeneration, we have here applied mass spectrometry-based proteomics for studying global muscle protein expression patterns. As a model system of sarcopenia, we have employed crude extracts from senescent rat gastrocnemius muscle, as compared to young adult tissue preparations. Using the highly sensitive protein dye Deep Purple for the analysis of the 2-D separated muscle proteome and peptide mass fingerprinting for the identification of individual protein spots, a differential expression pattern was observed for contractile proteins, metabolic factors, regulatory components and heat shock elements. A drastic increase was shown for alpha B-crystallin, myosin light chain MLC-1, phosphoglycerate kinase, adenylate kinase, triosephosphate isomerase, albumin, aconitase and nucleoside-diphosphate kinase in aged fibres. In contrast, the expression of pyruvate kinase, aldolase, creatine kinase, transferrin, alpha-tropomyosin and myosin light chain MLC-3 was decreased in old skeletal muscle. Comparative 2-D immunoblotting of selected candidate proteins has confirmed the effect of aging on the skeletal muscle proteome. These findings demonstrate a severely perturbed protein expression pattern in aged skeletal muscle, which reflects the underlying molecular alterations causing a drastic decline of muscle strength in the senescent organism. In the long-term, the systematic deduction of abnormal protein expression in aged muscle by proteomic profiling approaches may lead to the cataloguing of a cohort of novel therapeutic targets to treat muscular weakness in the aging population.
寿命延长往往伴随着身体虚弱以及对各种致残性疾病易感性的增加。人类衰老最显著的特征之一是肌肉减少症,其被定义为与年龄相关的骨骼肌质量和力量下降。尽管在过去十年中已经描述了衰老肌纤维中的各种代谢和功能缺陷,但尚不清楚导致肌肉萎缩的退化途径中是否存在病理生理层次结构。因此,为了确定年龄依赖性骨骼肌退化的新型生物标志物,我们在此应用基于质谱的蛋白质组学来研究整体肌肉蛋白质表达模式。作为肌肉减少症的模型系统,我们使用了衰老大鼠腓肠肌的粗提物,并与年轻成年组织提取物进行比较。使用高灵敏度蛋白质染料Deep Purple分析二维分离的肌肉蛋白质组,并通过肽质量指纹图谱鉴定单个蛋白质斑点,观察到收缩蛋白、代谢因子、调节成分和热休克元件的差异表达模式。衰老纤维中的αB晶状体蛋白、肌球蛋白轻链MLC-1、磷酸甘油酸激酶、腺苷酸激酶、磷酸丙糖异构酶、白蛋白、乌头酸酶和核苷二磷酸激酶显著增加。相比之下,丙酮酸激酶、醛缩酶、肌酸激酶、转铁蛋白、α-原肌球蛋白和肌球蛋白轻链MLC-3在老年骨骼肌中的表达降低。对选定候选蛋白的二维免疫印迹比较证实了衰老对骨骼肌蛋白质组的影响。这些发现表明老年骨骼肌中的蛋白质表达模式严重紊乱,这反映了导致衰老生物体肌肉力量急剧下降的潜在分子改变。从长远来看,通过蛋白质组学分析方法系统推断老年肌肉中异常的蛋白质表达,可能会列出一系列新的治疗靶点,用于治疗老年人群的肌肉无力。