Biosensor and Lab-on-a-chip Biomarker-identifying Technologies for Oral and Periodontal Diseases
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Periodontitis is a complex multifactorial disease that can lead to destruction of tooth supporting tissues and subsequent tooth loss. The most recent global burden of disease studies highlight that severe periodontitis is one of the most prevalent chronic inflammatory conditions affecting humans. Periodontitis risk is attributed to genetics, host-microbiome and environmental factors. Empirical diagnostic and prognostic systems have yet to be validated in the field of periodontics. Early diagnosis and intervention prevents periodontitis progression in most patients. Increased susceptibility and suboptimal control of modifiable risk factors can result in poor response to therapy, and relapse. The chronic immune-inflammatory response to microbial biofilms at the tooth or dental implant surface is associated with systemic conditions such as cardiovascular disease, diabetes or gastrointestinal diseases. Oral fluid-based biomarkers have demonstrated easy accessibility and potential as diagnostics for oral and systemic diseases, including the identification of SARS-CoV-2 in saliva. Advances in biotechnology have led to innovations in lab-on-a-chip and biosensors to interface with oral-based biomarker assessment. This review highlights new developments in oral biomarker discovery and their validation for clinical application to advance precision oral medicine through improved diagnosis, prognosis and patient stratification. Their potential to improve clinical outcomes of periodontitis and associated chronic conditions will benefit the dental and overall public health.
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Buffer systems, artificial saliva, and selected saliva/serum samples show that PDA-based biosensing platforms can achieve improved biomolecule immobilization, signal transduction, fluorescence/electrochemical/SERS detection, and salivary biomarker analysis.
“Buffer systems, artificial saliva, and selected saliva/serum samples show improved biomolecule immobilization, signal transduction, fluorescence/electrochemical/SERS detection, and salivary biomarker analysis.”
From Polydopamine-Based Biomaterials in Oral Medicine: Applications, Mechanisms, and Translational Challenges (2026) · cites this paper as [97]
The “Biosensors and Microelectro-Mechanical Systems” section describes biosensors detecting analytes in saliva, and “Salivary and Crevicular Fluid Diagnostics” discusses salivary biomarker analysis (page numbers unavailable). Our copy does not connect those findings to PDA-based platforms or report improved immobilization, signal transduction, fluorescence/electrochemical/SERS detection, or testing in buffer systems, artificial saliva, and selected saliva/serum samples. (LLM, conf=0.81)
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200 of 204 shown
- Authors
- Steigmann, L., Maekawa, S., Sima, C., Travan, S., Wang, C.-W., & Giannobile, W. V.
- Affiliations
- University of Michigan (US)
- Tokyo Medical and Dental University (JP)
- Harvard University (US)
- Corresponding author
- Giannobile, William V.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2020-11-09
- Volume
- 11
- Pages
- 588480-588480
- ISSN
- 1663-9812 (ISSN-L)
- PMC
- PMC7748088
- OpenAlex
- W3101335700
- Cited by
- 77
- References
- 227
- Citations by year
- 2026: 17 · 2025: 16 · 2024: 17 · 2023: 10 · 2022: 11 · 2021: 5
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Pharmacology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Osteology Foundation
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Keywords
- periodontitis, oral biomarkers, lab-on-a-chip, biosensors, early diagnosis, periodontal disease, host-microbe interactions, dental implants, saliva, COVID-19 detection, systemic inflammation, patient stratification
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