Pinamont William J, Yoshioka Natalie K, Young Gregory M, Karuppagounder Vengadeshprabhu, Carlson Elijah L, Ahmad Adeel, Elbarbary Reyad, Kamal Fadia
Center for Orthopedic Research and Translational Sciences, Department of Orthopedics and Rehabilitation, Pennsylvania State College of Medicine.
Center for Orthopedic Research and Translational Sciences, Department of Orthopedics and Rehabilitation, Pennsylvania State College of Medicine; Department of Biochemistry and Molecular Biology, Pennsylvania State College of Medicine.
J Vis Exp. 2020 May 6(159). doi: 10.3791/60991.
One of the most prevalent joint disorders in the United States, osteoarthritis (OA) is characterized by progressive degeneration of articular cartilage, primarily in the hip and knee joints, which results in significant impacts on patient mobility and quality of life. To date, there are no existing curative therapies for OA able to slow down or inhibit cartilage degeneration. Presently, there is an extensive body of ongoing research to understand OA pathology and discover novel therapeutic approaches or agents that can efficiently slow down, stop, or even reverse OA. Thus, it is crucial to have a quantitative and reproducible approach to accurately evaluate OA-associated pathological changes in the joint cartilage, synovium, and subchondral bone. Currently, OA severity and progression are primarily assessed using the Osteoarthritis Research Society International (OARSI) or Mankin scoring systems. In spite of the importance of these scoring systems, they are semiquantitative and can be influenced by user subjectivity. More importantly, they fail to accurately evaluate subtle, yet important, changes in the cartilage during the early disease states or early treatment phases. The protocol we describe here uses a computerized and semiautomated histomorphometric software system to establish a standardized, rigorous, and reproducible quantitative methodology for the evaluation of joint changes in OA. This protocol presents a powerful addition to the existing systems and allows for more efficient detection of pathological changes in the joint.
骨关节炎(OA)是美国最常见的关节疾病之一,其特征是关节软骨进行性退化,主要发生在髋关节和膝关节,这对患者的活动能力和生活质量产生了重大影响。迄今为止,尚无能够减缓或抑制软骨退化的OA治愈性疗法。目前,有大量正在进行的研究来了解OA的病理,并发现能够有效减缓、阻止甚至逆转OA的新型治疗方法或药物。因此,拥有一种定量且可重复的方法来准确评估关节软骨、滑膜和软骨下骨中与OA相关的病理变化至关重要。目前,OA的严重程度和进展主要使用国际骨关节炎研究学会(OARSI)或曼金评分系统进行评估。尽管这些评分系统很重要,但它们是半定量的,可能会受到使用者主观性的影响。更重要的是,它们无法准确评估疾病早期状态或早期治疗阶段软骨中细微但重要的变化。我们在此描述的方案使用一种计算机化的半自动组织形态计量学软件系统,为评估OA中的关节变化建立一种标准化、严格且可重复的定量方法。该方案是对现有系统的有力补充,能够更有效地检测关节中的病理变化。