Journal article
Predicting bone formation in mesenchymal stromal cell- seeded hydrogels using experiment-based mathematical modelling
- Abstract:
- In vitro bone formation by mesenchymal stromal cells encapsulated in type-1 collagen hydrogels is demonstrated after a 28-day in vitro culture period. Analysis of the hydrogels is carried out by X-ray microcomputed tomography, histology, and immunohistochemistry, which collectively demonstrates that bone formation in the hydrogels was quantifiably proportional to the initial collagen concentration, and subsequently the population density of seeded cells. This was established by varying the initial collagen concentration at a constant cell seeding density (3 × 105 cells/0.3 mL hydrogel), and separately varying cell seeding density at a constant collagen concentration (1 mg/mL). Using these data, a mathematical model is presented for the total hydrogel volume and mineralization volume based on the observed linear contraction dynamics of cell-seeded collagen gels. The model parameters are fitted by comparing the predictions of the mathematical model for the hydrogel and mineralized volumes on day 28 with the experimental data. The model is then used to predict the hydrogel and mineralization volumes for a range of hydrogel collagen concentrations and cell seeding densities, providing comprehensive input/output descriptors for generating mineralized hydrogels for bone tissue engineering. It is proposed that this quantitative approach will be a useful tool for generating in vitro manufactured bone tissue, defining input parameters that yield predictable output measures of tissue maturation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1089/ten.tea.2020.0027
Authors
- Publisher:
- Mary Ann Liebert
- Journal:
- Tissue Engineering: Parts A More from this journal
- Volume:
- 26
- Issue:
- 17-18
- Pages:
- 1014-1023
- Publication date:
- 2020-09-17
- Acceptance date:
- 2020-03-16
- DOI:
- EISSN:
- 
                    1937-335X
- ISSN:
- 
                    1937-3368
- Language:
- 
                    English
- Keywords:
- Pubs id:
- 
                  1094901
- Local pid:
- 
                    pubs:1094901
- Deposit date:
- 
                    2020-03-18
Terms of use
- Copyright holder:
- Mary Ann Liebert, Inc.
- Copyright date:
- 2020
- Rights statement:
- © Mary Ann Liebert, Inc.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Mary Ann Liebert at https://doi.org/10.1089/ten.tea.2020.0027
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