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开发用于分析单个人类肌管收缩和钙动力学的平台。

Development of an platform for the analysis of contractile and calcium dynamics in single human myotubes.

机构信息

Tecnun School of Engineering, University of Navarra, Manuel de Lardizábal 13, 20018 San Sebastián, Spain.

Biomedical Engineering Center, University of Navarra, Campus Universitario, 31080, Pamplona, Spain.

出版信息

Lab Chip. 2024 Oct 9;24(20):4741-4754. doi: 10.1039/d3lc00442b.

Abstract

myotube cultures are widely used as models for studying muscle pathophysiology, but their limited maturation and heterogeneity pose significant challenges for functional analyses. While they remain the gold standard for studying muscle function , myotube cultures do not fully recapitulate the complexity and native features of muscle fibers, which may compromise their ability to predict outcomes. To promote maturation and decrease heterogeneity, we have incorporated engineered structures into myotube cultures, based on a PDMS thin layer with micrometer-sized grooves (μGrooves) placed over a glass substrate. Different sizes and shapes of μGrooves were tested for their ability to promote alignment and fusion of myoblasts and enhance their differentiation into myotubes. A 24 hour electrical field stimulation protocol (4 V, 6 ms, 0.1 Hz) was used to further promote myotube maturation, after which several myotube features were assessed, including myotube alignment, width, fusion index, contractile function, and calcium handling. Our results indicate superior calcium and contractile performance in μGrooved myotubes, particularly with the 100 μm-width 700 μm-long geometry (7 : 1). This platform generated homogeneous and isolated myotubes that reproduced native muscle features, such as excitation-contraction coupling and force-frequency responses. Overall, our 2D muscle platform enables robust high-content assays of calcium dynamics and contractile readouts with increased sensitivity and reproducibility compared to traditional myotube cultures, making it particularly suitable for screening therapeutic candidates for different muscle pathologies.

摘要

肌管培养广泛应用于研究肌肉病理生理学模型,但它们的成熟度有限和异质性对功能分析构成了重大挑战。虽然肌管培养仍然是研究肌肉功能的金标准,但它们不能完全再现肌肉纤维的复杂性和固有特征,这可能会影响它们预测结果的能力。为了促进成熟和减少异质性,我们基于 PDMS 薄层(其上放置有微米级槽(μGrooves)的玻璃基底)将工程结构整合到肌管培养中。测试了不同尺寸和形状的 μGrooves 以促进成肌细胞的对齐和融合,并增强其向肌管分化的能力。使用 24 小时电刺激方案(4 V、6 ms、0.1 Hz)进一步促进肌管成熟,然后评估了几种肌管特征,包括肌管对齐、宽度、融合指数、收缩功能和钙处理。我们的结果表明,μGrooved 肌管中的钙和收缩性能更优,特别是具有 100 μm 宽 700 μm 长几何形状(7:1)的肌管。该平台生成了均匀且孤立的肌管,再现了原生肌肉特征,如兴奋-收缩偶联和力-频率反应。总体而言,与传统的肌管培养相比,我们的 2D 肌肉平台能够更灵敏和更可重现地进行钙动力学和收缩读数的强大高内涵分析,特别适合筛选不同肌肉病理的治疗候选物。

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