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Integrating qPLM and biomechanical test data with an anisotropic fiber distribution model and predictions of TGF-β1 and IGF-1 regulation of articular cartilage fiber modulus

机译:将QPLM和生物力学测试数据与各向异性纤维分布模型与TGF-β1和IGF-1的预测集成具有关节软骨纤维模量的TGF-β1和IGF-1调节

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摘要

A continuum mixture model with distinct collagen (COL) and glycosaminoglycan (GAG) elastic constituents was developed for the solid matrix of immature bovine articular cartilage. A continuous COL fiber volume fraction distribution function and a true COL fiber elastic modulus (Ef) were used. Quantitative polarized light microscopy (qPLM) methods were developed to account for the relatively high cell density of immature articular cartilage and used with a novel algorithm that constructs a 3D distribution function from 2D qPLM data. For specimens untreated and cultured in vitro, most model parameters were specified from qPLM analysis and biochemical assay results; consequently, Ef was predicted using an optimization to measured mechanical properties in uniaxial tension and unconfined compression. Analysis of qPLM data revealed a highly anisotropic fiber distribution, with principal fiber orientation parallel to the surface layer. For untreated samples, predicted Ef values were 175 and 422 MPa for superficial (S) and middle (M) zone layers, respectively. TGF-β1 treatment was predicted to increase and decrease Ef values for the S and M layers to 281 and 309 MPa, respectively. IGF-1 treatment was predicted to decrease Ef values for the S and M layers to 22 and 26 MPa, respectively. A novel finding was that distinct native depth-dependent fiber modulus properties were modulated to nearly homogeneous values by TGF-β1 and IGF-1 treatments, with modulated values strongly dependent on treatment.
机译:建立了具有独特胶原(COL)和糖胺聚糖(GAG)弹性成分的连续体混合物模型,用于未成熟牛关节软骨的固体基质。使用了连续的COL纤维体积分数分布函数和真实的COL纤维弹性模量(E f )。定量偏振光显微镜(qPLM)方法被开发用于解决未成熟关节软骨相对较高的细胞密度,并与从2d qPLM数据构建3D分布函数的新型算法一起使用。对于未经处理和体外培养的标本,大多数模型参数由qPLM分析和生化测定结果指定;因此,使用优化方法来预测E f 可以测量单轴拉伸和无侧限压缩中的机械性能。 qPLM数据分析显示出高度各向异性的纤维分布,主要纤维取向平行于表层。对于未经处理的样品,表层(S)和中层(M)的预测E f 值分别为175和422 MPa。预计TGF-β1处理会使S和M层的E f 值分别增加和减少到281和309 MPa。预计IGF-1处理会使S和M层的E f 值分别降低至22和26 MPa。一个新发现是,通过TGF-β1和IGF-1处理,独特的与深度有关的天然纤维依赖性特性被调制为接近均一的值,而调制值强烈依赖于处理。

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