Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716, United States.
Department of Clinical Studies, University of Pennsylvania School of Veterinary Medicine, New Bolton Center, Kennett Square, Pennsylvania 19348, United States.
ACS Biomater Sci Eng. 2023 Feb 13;9(2):1011-1019. doi: 10.1021/acsbiomaterials.2c01456. Epub 2023 Jan 26.
Articular cartilage derives its load-bearing strength from the mechanical and physiochemical coupling between the collagen network and negatively charged proteoglycans, respectively. Current disease modeling approaches and treatment strategies primarily focus on cartilage stiffness, partly because indentation tests are readily accessible. However, stiffness measurements via indentation alone cannot discriminate between proteoglycan degradation versus collagen degradation, and there is a lack of methods to monitor physiochemical contributors in full-stack tissue. To decouple these contributions, here, we developed a platform that measures tissue swelling in full-depth equine cartilage explants using piezoresistive graphene strain sensors. These piezoresistive strain sensors are embedded within an elastomer bulk and have sufficient sensitivity to resolve minute, real-time changes in swelling. By relying on simple DC resistance measurements over optical techniques, our platform can analyze multiple samples in parallel. Using these devices, we found that cartilage explants under enzymatic digestion showed distinctive swelling responses to a hypotonic challenge and established average equilibrium swelling strains in healthy cartilage (4.6%), cartilage with proteoglycan loss (0.5%), and in cartilage with both collagen and proteoglycan loss (-2.6%). Combined with histology, we decoupled the pathologic swelling responses as originating either from reduced fixed charge density or from loss of intrinsic stiffness of the collagen matrix in the superficial zone. By providing scalable and monitoring of cartilage swelling, our platform could facilitate regenerative medicine approaches aimed at restoring osmotic function in osteoarthritic cartilage or could be used to validate physiologically relevant swelling behavior in synthetic hydrogels.
关节软骨的承载强度来自于胶原网络和带负电荷的蛋白聚糖之间的力学和物理化学耦合。目前的疾病建模方法和治疗策略主要集中在软骨硬度上,部分原因是压痕测试很容易获得。然而,仅通过压痕测量的硬度不能区分蛋白聚糖降解与胶原降解,并且缺乏监测全栈组织中物理化学贡献的方法。为了解耦这些贡献,在这里,我们开发了一种使用压阻式石墨烯应变传感器测量全深度马关节软骨外植体肿胀的平台。这些压阻式应变传感器嵌入在弹性体块中,具有足够的灵敏度来解析微小的、实时的肿胀变化。通过依赖于光学技术的简单直流电阻测量,我们的平台可以并行分析多个样本。使用这些设备,我们发现经酶消化的软骨外植体对低渗挑战表现出独特的肿胀反应,并确定了健康软骨(4.6%)、蛋白聚糖损失软骨(0.5%)和胶原和蛋白聚糖均损失软骨(-2.6%)的平均平衡肿胀应变。结合组织学,我们将病理肿胀反应与固定电荷密度降低或浅层胶原基质固有刚度丧失区分开来。通过提供软骨肿胀的可扩展和监测,我们的平台可以促进旨在恢复骨关节炎软骨渗透功能的再生医学方法,或者可以用于验证合成水凝胶中生理相关的肿胀行为。