Human knee osteoarthritis patient-specific cartilage-on-a-chip model captures donor differences to stressors and treatments
Banh, L.; Perera, K.; Lobo, B. R.; Walz, K.; Cheung, K. K.; Chatterjee, R.; Bonnell, E.; Li, K.; Moon, B.-U.; Gandhi, R.; Young, E. W. K.; Viswanathan, S.
Show abstract
Knee Osteoarthritis (KOA) is a progressive whole-joint disease without approved disease modifying OA drugs (DMOADs). Effective treatments have been hindered by multiple layers of heterogeneity, including diverse disease etiology and patient-to-patient variability. Here, we present a scalable, KOA patient-derived (PD) cartilage-on-a-chip (CartChip) model integrating end-stage KOA cartilage tissue explants on a microengineered platform that, under mechanical overloading and hyperinflammatory stressors, mimics different KOA etiologies. These stressors drove distinct multivariable model features, including changes in a curated panel of anabolic and catabolic genes, extracellular matrix protein and soluble factors. Exploratory analysis of coordinated model readouts identified stressor-agnostic and -specific KOA disease signatures. Despite using KOA tissue, the model showed improvements to dexamethasone, a symptom-modifying, anti-inflammatory KOA treatment. The model responses to dexamethasone were dependent on both stressor and donor heterogeneity. Exploratory groupings of coordinated model readouts provided proof-of-concept for predicting categories of patient responsiveness to test therapeutics. Annotating patient data provided additional donor-dependent contexts for interpreting model responsiveness. PD-CartChip provides a powerful research platform to potentially surmount the donor and stressor heterogeneity barrier in developing DMOADs.
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