Monitoring the ex-vivo expansion of human mesenchymal stem/stromal cells in xeno-free microcarrier-based reactor systems by MIR spectroscopy

被引:9
|
作者
Rosa, Filipa [1 ]
Sales, Kevin C. [1 ]
Carmelo, Joana G. [2 ,3 ]
Fernandes-Platzgummer, Ana [2 ,3 ]
da Silva, Claudia L. [2 ,3 ]
Lopes, Marta B. [4 ,5 ]
Calado, Cecilia R. C. [4 ]
机构
[1] Catholic Univ Portugal, Fac Engn, Rio De Mouro, Portugal
[2] Univ Lisbon, Inst Super Tecn, Dept Bioengn, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
[3] Univ Lisbon, Inst Super Tecn, iBB, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
[4] ISEL, Rua Conselheiroidio Emidio Navarro 1, P-1959007 Lisbon, Portugal
[5] Inst Super Tecn, Inst Telecommun, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
关键词
mesenchymal stem; stromal cells; MIR spectroscopy; high-throughput analysis; NEAR-INFRARED SPECTROSCOPY; STEM-CELLS; BONE-MARROW; CULTURE-SYSTEM; METABOLISM; CHEMOMETRICS; CULTIVATION; PREDICTION; MODELS; NIR;
D O I
10.1002/btpr.2215
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Human mesenchymal stem/stromal cells (MSCs) have received considerable attention in the field of cell-based therapies due to their high differentiation potential and ability to modulate immune responses. However, since these cells can only be isolated in very low quantities, successful realization of these therapies requires MSCs ex-vivo expansion to achieve relevant cell doses. The metabolic activity is one of the parameters often monitored during MSCs cultivation by using expensive multi-analytical methods, some of them time-consuming. The present work evaluates the use of mid-infrared (MIR) spectroscopy, through rapid and economic high-throughput analyses associated to multivariate data analysis, to monitor three different MSCs cultivation runs conducted in spinner flasks, under xeno-free culture conditions, which differ in the type of microcarriers used and the culture feeding strategy applied. After evaluating diverse spectral preprocessing techniques, the optimized partial least square (PLS) regression models based on the MIR spectra to estimate the glucose, lactate and ammonia concentrations yielded high coefficients of determination (R(2)0.98, 0.98, and 0.94, respectively) and low prediction errors (RMSECV4.7%, 4.4% and 5.7%, respectively). Besides PLS models valid for specific expansion protocols, a robust model simultaneously valid for the three processes was also built for predicting glucose, lactate and ammonia, yielding a R-2 of 0.95, 0.97 and 0.86, and a RMSECV of 0.33, 0.57, and 0.09 mM, respectively. Therefore, MIR spectroscopy combined with multivariate data analysis represents a promising tool for both optimization and control of MSCs expansion processes. (c) 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:447-455, 2016
引用
收藏
页码:447 / 455
页数:9
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