Veenendaal Laura, Liu Valery Yizhuo, Lacey Cameron, Lim Khoon S, Hooper Gary J, Woodfield Tim B F, Lindberg Gabriella C J
Department of Orthopaedic Surgery and Musculoskeletal Medicine, Centre for Bioengineering & Nanomedicine, University of Otago Christchurch, Christchurch, New Zealand.
Department of Māori Indigenous Health Innovation (MIHI), University of Otago Christchurch, Christchurch, New Zealand.
J R Soc N Z. 2024 Apr 25;55(6):1542-1562. doi: 10.1080/03036758.2024.2340481. eCollection 2025.
To unravel causes of disparities in osteoarthritis (OA) prevalence and to improve cell-based cartilage repair treatments, there is need to investigate the multifactorial impact of patient demographics on a biophysiological level. In this study, we systematically analyse single- and multi-demographic impact on chondrogenic re-differentiation capacity of human articular chondrocytes (hACs), specifically of an Aotearoa-New Zealand (NZ) patient cohort which displays unique demographic diversity. HACs were isolated from 14 NZ donors with distinct demographics (ethnicity: indigenous Māori vs European descendant Pākehā; sex; age 18-24 vs 25-30 yrs). chondrogenic re-differentiation capacity of donor chondrocytes was assessed through quantifications of cartilage matrix deposition (GAG, DNA, GAG/DNA) and by histological visualisation. Isolated chondrocytes ranged from low chondrogenic re-differentiation capacity, characterised by fibrocartilage tissue deposition, to high re-differentiation capacity to deposit GAG-rich tissue. Age-related reduction in GAG/DNA content was detected while no impact of ethnicity or sex was observed. Multi-demographic analysis revealed reduced GAG deposition in Māori male (compared to Māori female), and Māori (18-24 yrs) compared to Māori (25-30 yrs) and Pākehā (18-24 yrs) within our cohort. Multi-demographic analysis is a promising strategy to understand disparities in OA prevalence in patient cohorts and can help guide development of cell-based strategies for diverse patient populations.
为了揭示骨关节炎（OA）患病率差异的原因并改善基于细胞的软骨修复治疗，有必要在生物生理水平上研究患者人口统计学的多因素影响。在本研究中，我们系统地分析了单一人种和多个人种因素对人类关节软骨细胞（hACs）成软骨再分化能力的影响，特别是对具有独特人口统计学多样性的新西兰患者队列的影响。从14名具有不同人口统计学特征的新西兰捐赠者中分离出hACACACs（种族：本土毛利人与欧洲后裔白人；性别；年龄18 - 24岁与25 - 30岁）。通过对软骨基质沉积（糖胺聚糖、DNA、糖胺聚糖/DNA）的定量和组织学可视化来评估捐赠者软骨细胞的成软骨再分化能力。分离出的软骨细胞成软骨再分化能力范围从以纤维软骨组织沉积为特征的低再分化能力到沉积富含糖胺聚糖组织的高再分化能力。检测到与年龄相关的糖胺聚糖/DNA含量降低，而未观察到种族或性别的影响。多人口统计学分析显示，在我们的队列中，毛利男性（与毛利女性相比）以及毛利人（18 - 24岁）与毛利人（25 - 30岁）和白人（18 - 24岁）相比，糖胺聚糖沉积减少。多人口统计学分析是一种有前景的策略，可用于了解患者队列中OA患病率的差异，并有助于指导针对不同患者群体的基于细胞的策略的开发。
