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Molecularly imprinted nanogels as synthetic recognition materials for the ultrasensitive detection of periodontal disease biomarkers
Malmö University, Faculty of Health and Society (HS), Department of Biomedical Science (BMV).
Malmö University, Faculty of Odontology (OD).ORCID iD: 0000-0001-5888-664X
Univ Sheffield, Dept Chem, Dainton Bldg, Brook Hill, Sheffield S3 7HF, England.
Malmö University, Faculty of Health and Society (HS), Department of Biomedical Science (BMV).ORCID iD: 0000-0002-2392-3305
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2024 (English)In: Analytical and Bioanalytical Chemistry, ISSN 1618-2642, E-ISSN 1618-2650, Vol. 416, no 30, p. 7305-7316Article in journal (Refereed) Published
Abstract [en]

Periodontal disease affects supporting dental structures and ranks among one of the top most expensive conditions to treat in the world. Moreover, in recent years, the disease has also been linked to cardiovascular and Alzheimer's diseases. At present, there is a serious lack of accurate diagnostic tools to identify people at severe risk of periodontal disease progression. Porphyromonas gingivalis is often considered one of the most contributing factors towards disease progression. It produces the Arg- and Lys-specific proteases Rgp and Kgp, respectively. Within this work, a short epitope sequence of these proteases is immobilised onto a magnetic nanoparticle platform. These are then used as a template to produce high-affinity, selective molecularly imprinted nanogels, using the common monomers N-tert-butylacrylamide (TBAM), N-isopropyl acrylamide (NIPAM), and N-(3-aminopropyl) methacrylamide hydrochloride (APMA). N,N-Methylene bis(acrylamide) (BIS) was used as a crosslinking monomer to form the interconnected polymeric network. The produced nanogels were immobilised onto a planar gold surface and characterised using the optical technique of surface plasmon resonance. They showed high selectivity and affinity towards their template, with affinity constants of 79.4 and 89.7 nM for the Rgp and Kgp epitope nanogels, respectively. From their calibration curves, the theoretical limit of detection was determined to be 1.27 nM for the Rgp nanogels and 2.00 nM for the Kgp nanogels. Furthermore, they also showed excellent selectivity against bacterial culture supernatants E8 (Rgp knockout), K1A (Kgp knockout), and W50-d (wild-type) strains in complex medium of brain heart infusion (BHI).

Place, publisher, year, edition, pages
Springer, 2024. Vol. 416, no 30, p. 7305-7316
Keywords [en]
Molecularly imprinted polymers, Nanogels, Periodontal disease, Surface plasmon resonance
National Category
Chemical Sciences
Identifiers
URN: urn:nbn:se:mau:diva-69947DOI: 10.1007/s00216-024-05395-6ISI: 001250248600001PubMedID: 38898327Scopus ID: 2-s2.0-85196298123OAI: oai:DiVA.org:mau-69947DiVA, id: diva2:1886303
Available from: 2024-07-31 Created: 2024-07-31 Last updated: 2024-12-10Bibliographically approved
In thesis
1. Diagnostic tools for oral infections based on artificial receptors
Open this publication in new window or tab >>Diagnostic tools for oral infections based on artificial receptors
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Periodontal disease ranks among the most expensive health conditions to treat, asreported by the World Health Organization (WHO). This is due to the fact thatdiagnosis is based on several specific clinical criteria that employ methods suchas inspection, palpation, probing, and interpretation of radiographic images.However, since these diagnostic tools do not provide information about patientsat risk of developing severe stage periodontal disease, patients are oftenovertreated. Porphyromonas gingivalis is a prevalent bacterium in thesubgingival crevice of patients with periodontal disease and has been termed akeystone pathogen in these conditions. P. gingivalis together with its enzymes,Rgp and Kgp, is therefore of interest as potential biomarkers on which to builddiagnostic tools based on artificial receptors. Firstly, molecularly imprintedpolymers using either the native enzymes or short sequence epitopes from themcan be used to determine the expression level of the enzymes in samples.Secondly, the enzymatic activity can be determined by recording changes inelectrochemical signals before and after hydrolysis of a specially designedpeptide sequence selective for one of the enzymes. Finally, reversible selfassembledmonolayers bearing ligands specific for bacterial adhesion throughmultivalent interactions can potentially be employed to selectively separate anddetect P. gingivalis. Together, they form the foundation for designing acommercially exploitable biosensor that combines detection methods to improvethe accuracy of diagnosis.

Place, publisher, year, edition, pages
Malmö: Malmö University Press, 2024. p. 89
Series
Malmö University Health and Society Dissertations, ISSN 1653-5383, E-ISSN 2004-9277 ; 11
National Category
Biomedical Laboratory Science/Technology
Research subject
Health and society
Identifiers
urn:nbn:se:mau:diva-70137 (URN)10.24834/isbn.9789178775095 (DOI)978-91-7877-508-8 (ISBN)978-91-7877-509-5 (ISBN)
Public defence
2024-09-09, KL:3690, Smedjegatan 16, Malmö, 09:15 (English)
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Note

Papers III and IV in dissertation are manuscripts.

Paper III and IV is not included in the fulltext online 

Available from: 2024-08-19 Created: 2024-08-13 Last updated: 2024-09-05Bibliographically approved

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Hix Janssens, ThomasDavies, Julia RSellergren, Börje

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