Suppr超能文献

恶病质和肌肉减少症患者骨骼肌的综合蛋白质组分析:一项初步研究。

Comprehensive proteome analysis of human skeletal muscle in cachexia and sarcopenia: a pilot study.

作者信息

Ebhardt H Alexander, Degen Simone, Tadini Valentina, Schilb Alain, Johns Neil, Greig Carolyn A, Fearon Kenneth C H, Aebersold Ruedi, Jacobi Carsten

机构信息

Institute of Molecular Systems Biology, Department of Biology, ETH Zürich, Zürich, Switzerland.

Systems Biology Ireland, University College Dublin, Dublin, Ireland.

出版信息

J Cachexia Sarcopenia Muscle. 2017 Aug;8(4):567-582. doi: 10.1002/jcsm.12188. Epub 2017 Mar 15.

Abstract

BACKGROUND

Cancer cachexia (cancer-induced muscle wasting) is found in a subgroup of cancer patients leaving the patients with a poor prognosis for survival due to a lower tolerance of the chemotherapeutic drug. The cause of the muscle wasting in these patients is not fully understood, and no predictive biomarker exists to identify these patients early on. Skeletal muscle loss is an inevitable consequence of advancing age. As cancer frequently occurs in old age, identifying and differentiating the molecular mechanisms mediating muscle wasting in cancer cachexia vs. age-related sarcopenia are a challenge. However, the ability to distinguish between them is critical for early intervention, and simple measures of body weight may not be sufficiently sensitive to detect cachexia early.

METHODS

We used a range of omics approaches: (i) undepleted proteome was quantified using advanced high mass accuracy mass spectrometers in SWATH-MS acquisition mode; (ii) phospho epitopes were quantified using protein arrays; and (iii) morphology was assessed using fluorescent microscopy.

RESULTS

We quantified the soluble proteome of muscle biopsies from cancer cachexia patients and compared them with cohorts of cancer patients and healthy individuals with and without age-related muscle loss (aka age-related sarcopenia). Comparing the proteomes of these cohorts, we quantified changes in muscle contractile myosins and energy metabolism allowing for a clear identification of cachexia patients. In an in vitro time lapse experiment, we mimicked cancer cachexia and identified signal transduction pathways governing cell fusion to play a pivotal role in preventing muscle regeneration.

CONCLUSIONS

The work presented here lays the foundation for further understanding of muscle wasting diseases and holds the promise of overcoming ambiguous weight loss as a measure for defining cachexia to be replaced by a precise protein signature.

摘要

背景

癌症恶病质(癌症诱导的肌肉萎缩)在一部分癌症患者中出现,由于对化疗药物耐受性较低,这些患者的生存预后较差。这些患者肌肉萎缩的原因尚未完全明确,且不存在可早期识别这些患者的预测性生物标志物。骨骼肌流失是年龄增长不可避免的结果。由于癌症常发生于老年,识别和区分介导癌症恶病质与年龄相关肌肉减少症(肌少症)中肌肉萎缩的分子机制具有挑战性。然而,区分它们的能力对于早期干预至关重要,单纯的体重测量可能不够敏感,无法早期检测出恶病质。

方法

我们使用了一系列组学方法:(i)使用先进的高质量精度质谱仪以SWATH-MS采集模式对未耗尽的蛋白质组进行定量;(ii)使用蛋白质阵列对磷酸化表位进行定量;(iii)使用荧光显微镜评估形态学。

结果

我们对癌症恶病质患者肌肉活检的可溶性蛋白质组进行了定量,并将其与有或无年龄相关肌肉流失(即年龄相关肌少症)的癌症患者队列以及健康个体进行比较。通过比较这些队列的蛋白质组,我们定量了肌肉收缩肌球蛋白和能量代谢的变化,从而能够清晰地识别恶病质患者。在一项体外延时实验中,我们模拟了癌症恶病质,并确定了控制细胞融合的信号转导途径在预防肌肉再生中起关键作用。

结论

本文所开展的工作为进一步理解肌肉萎缩疾病奠定了基础,并有望克服将体重减轻作为定义恶病质的模糊指标,转而采用精确的蛋白质特征来定义恶病质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f05/5566647/5efd618c0723/JCSM-8-567-g006.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验