Abstract

Transforming growth factor beta (TGF-β) is a potent growth factor that regulates the homeostasis of native cartilage and is administered as an anabolic supplement for engineered cartilage growth. The quantification of TGF-β activity in live tissues in situ remains a significant challenge, as conventional activity assessments (e.g., Western blotting of intracellular signaling molecules or reporter cell assays) are unable to measure absolute levels of TGF-β activity in three-dimensional tissues. In this study, we develop a quantification platform established on TGF-β's autoinduction response, whereby active TGF-β (aTGF-β) signaling in cells induces their biosynthesis and secretion of new TGF-β in its latent form (LTGF-β). As such, cell-secreted LTGF-β can serve as a robust, non-destructive, label-free biomarker for quantifying in situ activity of TGF-β in live cartilage tissues. Here, we detect LTGF-β1 secretion levels for bovine native tissue explants and engineered tissue constructs treated with varying doses of media-supplemented aTGF-β3 using an isoform-specific ELISA. We demonstrate that: 1) LTGF-β secretion levels increase proportionally to aTGF-β exposure, reaching 7.4- and 6.6-fold increases in native and engineered cartilage, respectively; 2) synthesized LTGF-β exhibits low retention in both native and engineered cartilage tissue; and 3) secreted LTGF-β is stable in conditioned media for 2 weeks, thus enabling a reliable biological standard curve between LTGF-β secretion and exposed TGF-β activity. Accordingly, we perform quantifications of TGF-β activity in bovine native cartilage, demonstrating up to 0.59 ng/mL in response to physiological dynamic loading. We further quantify the in situ TGF-β activity in aTGF-β-conjugated scaffolds for engineered tissue, which exhibits 1.81 ng/mL of TGF-β activity as a result of a nominal 3 μg/mL loading dose. Overall, cell-secreted LTGF-β can serve as a robust biomarker to quantify in situ activity of TGF-β in live cartilage tissue and can be potentially applied for a wide range of applications, including multiple tissue types and tissue engineering platforms with different cell populations and scaffolds.

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