Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.
Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, United Kingdom.
Anal Chem. 2024 Jan 30;96(4):1606-1613. doi: 10.1021/acs.analchem.3c04387. Epub 2024 Jan 12.
The glycosaminoglycan hyaluronan (HA) plays important roles in diverse physiological functions where the distribution of its molecular weight (MW) can influence its behavior and is known to change in response to disease conditions. During inflammation, HA undergoes a covalent modification in which heavy chain subunits of the inter-alpha-inhibitor family of proteins are transferred to its structure, forming heavy chain-HA (HC•HA) complexes. While limited assessments of HC•HA have been performed previously, determining the size distribution of its HA component remains a challenge. Here, we describe a selective method for extracting HC•HA from mixtures that yields material amenable to MW analysis with a solid-state nanopore sensor. After demonstrating the approach in vitro, we validate extraction of HC•HA from osteoarthritic human synovial fluid as a model complex biological matrix. Finally, we apply our technique to pathophysiology by measuring the size distributions of HC•HA and total HA in an equine model of synovitis.
糖胺聚糖透明质酸(HA)在多种生理功能中发挥重要作用,其分子量(MW)的分布可影响其行为,并已知会因疾病状况而发生变化。在炎症过程中,HA 发生共价修饰,其中抗胰蛋白酶家族的重链亚基被转移到其结构中,形成重链-HA(HC•HA)复合物。尽管之前已经对 HC•HA 进行了有限的评估,但确定其 HA 成分的大小分布仍然是一个挑战。在这里,我们描述了一种从混合物中提取 HC•HA 的选择性方法,该方法可获得适用于固态纳米孔传感器的 MW 分析的材料。在体外证明该方法后,我们验证了从骨关节炎患者的滑液中提取 HC•HA 作为模型复杂生物基质的方法。最后,我们通过测量滑膜炎症的马模型中 HC•HA 和总 HA 的大小分布,将我们的技术应用于病理生理学。