title: Predicting biomaterial property-dendritic cell phenotype relationships from the multivariate analysis of responses to polymethacrylates.
abstract: 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.
authors.affiliation: Wallace H Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Georgia Institute of Technology, Atlanta, GA 30332, USA.
authors.forename: Peng Meng
authors.initials: PM
authors.lastname: Kou
authors.forename: Narayanan
authors.initials: N
authors.lastname: Pallassana
authors.forename: Rebeca
authors.initials: R
authors.lastname: Bowden
authors.forename: Barry
authors.initials: B
authors.lastname: Cunningham
authors.forename: Abraham
authors.initials: A
authors.lastname: Joy
authors.forename: Joachim
authors.initials: J
authors.lastname: Kohn
authors.forename: Julia E
authors.initials: JE
authors.lastname: Babensee
mesh_terms: D001672:Biocompatible Materials / Q000737:chemistry*; D020099:Coated Materials, Biocompatible / Q000737:chemistry*; D020650:Combinatorial Chemistry Techniques; D003713:Dendritic Cells / Q000166:cytology*; D006801:Humans; D007700:Kinetics; D008422:Materials Testing; D008956:Models, Chemical; D015999:Multivariate Analysis; D010641:Phenotype; D011108:Polymers / Q000737:chemistry; D011109:Polymethacrylic Acids / Q000737:chemistry*; D025341:Principal Component Analysis; D012044:Regression Analysis; D013499:Surface Properties; D013696:Temperature; D014867:Water / Q000737:chemistry
chemical_list: D001672:Biocompatible Materials; D020099:Coated Materials, Biocompatible; D011108:Polymers; D011109:Polymethacrylic Acids; D014867:Water; C030613:polymethacrylic acid