Santacatterina Fulvio, Chamorro Margarita, de Arenas Cristina Núñez, Navarro Carmen, Martín Miguel A, Cuezva José M, Sánchez-Aragó María
Departamento de Biología Molecular, Centro de Biología Molecular, c/ Nicolás Cabrera 1, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain.
J Transl Med. 2015 Feb 18;13:65. doi: 10.1186/s12967-015-0424-1.
Muscle diseases have been associated with changes in the expression of proteins involved in energy metabolism. To this aim we have developed a number of monoclonal antibodies against proteins of energy metabolism.
Herein, we have used Reverse Phase Protein Microarrays (RPMA), a high throughput technique, to investigate quantitative changes in protein expression with the aim of identifying potential biomarkers in rare neuromuscular diseases. A cohort of 73 muscle biopsies that included samples from patients diagnosed of Duchenne (DMD), Becker (BMD), symptomatic forms of DMD and BMD in female carriers (Xp21 Carriers), Limb Girdle Muscular Dystrophy Type 2C (LGMD2C), neuronal ceroid lipofuscinosis (NCL), glycogenosis type V (Mc Ardle disease), isolated mitochondrial complex I deficiency, intensive care unit myopathy and control donors were investigated. The nineteen proteins of energy metabolism studied included members of the mitochondrial oxidation of pyruvate, the tricarboxylic acid cycle, β-oxidation of fatty acids, electron transport and oxidative phosphorylation, glycogen metabolism, glycolysis and oxidative stress using highly specific antibodies.
The results indicate that the phenotype of energy metabolism offers potential biomarkers that could be implemented to refine the understanding of the biological principles of rare diseases and, eventually, the management of these patients.
We suggest that some biomarkers of energy metabolism could be translated into the clinics to contribute to the improvement of the clinical handling of patients affected by rare diseases.
肌肉疾病与能量代谢相关蛋白的表达变化有关。为此,我们开发了多种针对能量代谢蛋白的单克隆抗体。
在此,我们使用了反向蛋白质微阵列(RPMA)这一高通量技术,以研究蛋白质表达的定量变化,旨在识别罕见神经肌肉疾病中的潜在生物标志物。对73例肌肉活检样本进行了研究,这些样本包括来自被诊断为杜氏肌营养不良症(DMD)、贝克肌营养不良症(BMD)、女性携带者(Xp21携带者)中DMD和BMD的症状性形式、2C型肢带型肌营养不良症(LGMD2C)、神经元蜡样脂褐质沉积症(NCL)、V型糖原贮积病(麦卡德尔病)、孤立性线粒体复合物I缺乏症、重症监护病房肌病患者的样本以及对照供体的样本。使用高度特异性抗体研究了19种能量代谢蛋白,包括参与丙酮酸线粒体氧化、三羧酸循环、脂肪酸β氧化、电子传递和氧化磷酸化、糖原代谢、糖酵解以及氧化应激的蛋白。
结果表明,能量代谢表型提供了潜在的生物标志物,可用于深化对罕见疾病生物学原理的理解,并最终用于这些患者的管理。
我们认为,一些能量代谢生物标志物可转化应用于临床,以改善对罕见病患者的临床治疗。