Validation of microphysiological systems for interpreting patient heterogeneity requires robust reproducibility analytics and experimental metadata
Year: 2025
Type: article
Abstract: Multi-cell-type, 3D microphysiological systems (MPS) that recapitulate normal organ/organ system functions and the progression of diseases are being applied in drug discovery and development programs to enable precision medicine. A critical step for this application is to demonstrate the reproducibility of the MPS and its ability to identify biologic/clinical heterogeneity from experimental variability, which requires capturing detailed metadata associated with MPS studies as well as a strong analytical approach for assessing reproducibility. Detailed metadata ensure that identical study parameters are being compared when evaluating reproducibility. We have developed the Pittsburgh reproducibility protocol (PReP), which uses a set of common statistical metrics, the coefficient of variation (CV), ANOVA, and intraclass correlation coefficient (ICC), in a pipeline as a standard approach to evaluate the intra- and interstudy reproducibility of MPS performance. The PReP can be employed to identify biological/clinical heterogeneity relevant to precision medicine.
Source: Cell Reports Methods
Institution: University of Pittsburgh
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,824
Awards: G1039249451, G1173443935, G1199008674, G284113647, G3016640809, G3282718884, G3537838402, G3814742427, G3982349151, G5884223457, Opera Phenix High-Content Imaging System for Drug Discovery, G741073515, G8105098291, G8999649303, University of Pittsburgh Clinical and Translational Science Institute, Re-engineering a human 3D liver tissue model for non-alcoholic fatty liver disease for drug screening, Institutional Career Development Core, J. NRSA Training Core, Qualification of Patient-Derived Biomimetic Liver MPS as Drug Discovery Tools for Drug Metabolism, Toxicity, Drug Efficacy Testing and Clinical Trial Cohort Selection, G904603239, G931558567
OpenAlex ID: W4409412635