Diagnosing Sjgren's syndrome (SS) in the early stages of the disease can help mitigate damage from systemic manifestations that occur later in the disease. Current tests for establishing an SS diagnosis include salivary gland biopsy to look for lymphocytic inflammation and using radioactive labeling to test salivary gland function. While these tests are effective in the diagnosis of SS, the multiplex biosensor developed in this proposal will provide a low-cost method for detecting molecular evidence of both salivary/lacrimal gland hypofunction and lymphocytic inflammation without the need for invasive testing. Molecularly imprinted polymers (MIPs) are synthetic materials capable of semi-selective molecular recognition and are lower cost and more environmentally robust than antibodies. In this proposal, MIPs will be synthesized on the surface of nanomaterials with unique optical properties for use in sensing applications. Specifically, collections of MIP- coated gold nanomaterials will be employed in ?differential sensing,? routines to monitor biomarkers of lymphocytic inflammation and gland hypofunction simultaneously, providing a more comprehensive view of protein mixtures. Instead of identifying a single biomarker, the developed sensor arrays will generate a pattern based on numerous biomarkers, providing a more robust diagnostic tool for biochemical changes. The overall hypothesis of this proposal is that imprinted nanomaterials in optical sensor arrays may detect biomarkers that could be used to establish an SS diagnosis in symptomatic patients. The specific goals of this proposal are (Aim 1) to rationally choose strong-bonding monomers (non-covalent or reversible-covalent) to improve MIP affinity, (Aim 2) to synthesize MIPs on the surface of gold nanomateirals to generate receptors with built-in signal transduction and (Aim 3) to test these imprinted nanomaterials in sensor arrays to detect SS biomarkers.
Early diagnosis of Sjgren's syndrome (SS) can mitigate damage from systemic manifestations that occur later in the disease. In this work, we will combine nanotechnology and carefully designed synthetic receptors to develop sensor arrays to provide a non-invasive method for establishing SS diagnosis in symptomatic patients.
|Culver, Heidi R; Wechsler, Marissa E; Peppas, Nicholas A (2018) Label-Free Detection of Tear Biomarkers Using Hydrogel-Coated Gold Nanoshells in a Localized Surface Plasmon Resonance-Based Biosensor. ACS Nano 12:9342-9354|
|De Witte, Tinke-Marie; Fratila-Apachitei, Lidy E; Zadpoor, Amir A et al. (2018) Bone tissue engineering via growth factor delivery: from scaffolds to complex matrices. Regen Biomater 5:197-211|
|Zhong, Justin X; Clegg, John R; Ander, Eric W et al. (2018) Tunable poly(methacrylic acid-co-acrylamide) nanoparticles through inverse emulsion polymerization. J Biomed Mater Res A 106:1677-1686|
|Sharpe, Lindsey A; Vela Ramirez, Julia E; Haddadin, Olivia M et al. (2018) pH-Responsive Microencapsulation Systems for the Oral Delivery of Polyanhydride Nanoparticles. Biomacromolecules 19:793-802|
|Wagner, Angela M; Spencer, David S; Peppas, Nicholas A (2018) Advanced architectures in the design of responsive polymers for cancer nanomedicine. J Appl Polym Sci 135:|
|Culver, Heidi R; Clegg, John R; Peppas, Nicholas A (2017) Analyte-Responsive Hydrogels: Intelligent Materials for Biosensing and Drug Delivery. Acc Chem Res 50:170-178|
|Vela Ramirez, Julia E; Sharpe, Lindsey A; Peppas, Nicholas A (2017) Current state and challenges in developing oral vaccines. Adv Drug Deliv Rev 114:116-131|
|Clegg, John R; Zhong, Justin X; Irani, Afshan S et al. (2017) Student award for outstanding research winner in the Ph.D. category for the 2017 society for biomaterials annual meeting and exposition, april 5-8, 2017, Minneapolis, Minnesota: Characterization of protein interactions with molecularly imprinted hydrogels J Biomed Mater Res A 105:1565-1574|
|Culver, Heidi R; Sharma, Ishna; Wechsler, Marissa E et al. (2017) Charged poly(N-isopropylacrylamide) nanogels for use as differential protein receptors in a turbidimetric sensor array. Analyst 142:3183-3193|