Cited 0 times in Scipus Cited Count

The sensitive detection of ODAM by using sandwich-type biosensors with a cognate pair of aptamers for the early diagnosis of periodontal disease

Authors
Lee, BH | Kim, SH | Ko, Y | Park, JC | Ji, S  | Gu, MB
Citation
Biosensors & bioelectronics, 126. : 122-128, 2019
Journal Title
Biosensors & bioelectronics
ISSN
0956-56631873-4235
Abstract
This research aims to develop biosensors which could diagnose periodontal diseases in early phases and predict the illness stage of patients, in order to give them adequate treatment timely. Human odontogenic ameloblast-associated protein (ODAM) is considered to be a potential biomarker for periodontal diseases, based on high correlation between the level of ODAM in gingival crevicular fluid (GCF) and the degree of periodontitis. Many aptamers, including a cognate pair of aptamers which can bind to the different sites of ODAM, were successfully screened in a very stringent condition employing saliva as a counter target through the graphene oxide-based systemic evolution of ligands by exponential enrichment (GO-SELEX). For the characterization of the aptamer candidates, GO-based fluorescence resonance energy transfer (GO-FRET) and surface plasmon resonance (SPR) assays were conducted. The sandwich-type binding of a cognate pair of aptamers to ODAM was additionally confirmed by employing circular dichroism (CD) and magnetic beads-based fluorescence imaging methods. The resulting cognate pair of aptamers, OD64 and OD35, were found to have their dissociation constant (Kd), 47.71nM and 51.36nM, respectively. The minimum detectable concentrations of a sandwich-type SPR biosensor were found to be 0.24nM and 1.63nM, respectively, for both buffered and saliva samples. Finally, using this cognate pair of aptamers, a sandwich-type lateral flow strip biosensor was successfully realized. This research shows the potential for implementation of a cognate pair of aptamers on point-of-care biosensors which enables simple, rapid, and non-invasive saliva-based diagnosis of periodontal-related diseases that can overcome current diagnostic methods and improve health care system.
Keywords

MeSH

DOI
10.1016/j.bios.2018.10.040
PMID
30396019
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Dentistry
Ajou Authors
지, 숙
Files in This Item:
There are no files associated with this item.
Export

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse