PMID- 22136715 OWN - NLM STAT- MEDLINE DCOM- 20120419 LR - 20211021 IS - 1878-5905 (Electronic) IS - 0142-9612 (Print) IS - 0142-9612 (Linking) VI - 33 IP - 6 DP - 2012 Feb TI - Predicting biomaterial property-dendritic cell phenotype relationships from the multivariate analysis of responses to polymethacrylates. PG - 1699-713 LID - 10.1016/j.biomaterials.2011.10.066 [doi] AB - Dendritic cells (DCs) play a critical role in orchestrating the host responses to a wide variety of foreign antigens and are essential in maintaining immune tolerance. Distinct biomaterials have been shown to differentially affect the phenotype of DCs, which suggested that biomaterials may be used to modulate immune response toward the biologic component in combination products. The elucidation of biomaterial property-DC phenotype relationships is expected to inform rational design of immuno-modulatory biomaterials. In this study, DC response to a set of 12 polymethacrylates (pMAs) was assessed in terms of surface marker expression and cytokine profile. Principal component analysis (PCA) determined that surface carbon correlated with enhanced DC maturation, while surface oxygen was associated with an immature DC phenotype. Partial square linear regression, a multivariate modeling approach, was implemented and successfully predicted biomaterial-induced DC phenotype in terms of surface marker expression from biomaterial properties with R(prediction)(2) = 0.76. Furthermore, prediction of DC phenotype was effective based on only theoretical chemical composition of the bulk polymers with R(prediction)(2) = 0.80. These results demonstrated that immune cell response can be predicted from biomaterial properties, and computational models will expedite future biomaterial design and selection. CI - Copyright (c) 2011 Elsevier Ltd. All rights reserved. FAU - Kou, Peng Meng AU - Kou PM AD - Wallace H Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, GA 30332, USA. FAU - Pallassana, Narayanan AU - Pallassana N FAU - Bowden, Rebeca AU - Bowden R FAU - Cunningham, Barry AU - Cunningham B FAU - Joy, Abraham AU - Joy A FAU - Kohn, Joachim AU - Kohn J FAU - Babensee, Julia E AU - Babensee JE LA - eng GR - R01 EB004633-02/EB/NIBIB NIH HHS/United States GR - P41 EB001046/EB/NIBIB NIH HHS/United States GR - EB001046/EB/NIBIB NIH HHS/United States GR - R01 EB004633-01A1/EB/NIBIB NIH HHS/United States GR - R01 EB004633-04/EB/NIBIB NIH HHS/United States GR - EB004633/EB/NIBIB NIH HHS/United States GR - R01 EB004633/EB/NIBIB NIH HHS/United States GR - R01 EB004633-03/EB/NIBIB NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural DEP - 20111201 PL - Netherlands TA - Biomaterials JT - Biomaterials JID - 8100316 RN - 0 (Biocompatible Materials) RN - 0 (Coated Materials, Biocompatible) RN - 0 (Polymers) RN - 0 (Polymethacrylic Acids) RN - 059QF0KO0R (Water) RN - 25087-26-7 (polymethacrylic acid) SB - IM MH - Biocompatible Materials/*chemistry MH - Coated Materials, Biocompatible/*chemistry MH - Combinatorial Chemistry Techniques MH - Dendritic Cells/*cytology MH - Humans MH - Kinetics MH - Materials Testing MH - Models, Chemical MH - Multivariate Analysis MH - Phenotype MH - Polymers/chemistry MH - Polymethacrylic Acids/*chemistry MH - Principal Component Analysis MH - Regression Analysis MH - Surface Properties MH - Temperature MH - Water/chemistry PMC - PMC3399429 MID - NIHMS337410 EDAT- 2011/12/06 06:00 MHDA- 2012/04/20 06:00 PMCR- 2013/02/01 CRDT- 2011/12/06 06:00 PHST- 2011/09/29 00:00 [received] PHST- 2011/10/24 00:00 [accepted] PHST- 2011/12/06 06:00 [entrez] PHST- 2011/12/06 06:00 [pubmed] PHST- 2012/04/20 06:00 [medline] PHST- 2013/02/01 00:00 [pmc-release] AID - S0142-9612(11)01282-8 [pii] AID - 10.1016/j.biomaterials.2011.10.066 [doi] PST - ppublish SO - Biomaterials. 2012 Feb;33(6):1699-713. doi: 10.1016/j.biomaterials.2011.10.066. Epub 2011 Dec 1.