Developing Aptasensors for Periodontitis Associated Biomarkers Detection in Saliva: A +

Authors

  • Maryam Zahra Assistant Professor, School of Medicine Dentistry and Allied Sciences, Haripur, Pakistan.
  • Muhammad Asfandyar Khan Lecturer, Kohat University of Science and Technology (KUST), Kohat, Pakistan.
  • Shahwar Ahmad Assistant Professor Biochemistry, KMU-Institute of Dental Sciences, Kohat, Pakistan.
  • Ambreen Demonstrator Oral Pathology, KMU-Institute of Dental Sciences, Kohat, Pakistan.

Keywords:

Aptasensors/Biosensors, Oral Biomarkers, Oral Diseases, Saliva and Aptamers.

Abstract

Objective: To evaluate the effectiveness of Aptasensors in detecting salivary biomarkers linked to periodontitis.

Method: The literature search for this systematic review was conducted using the keywords "Aptasensors/Biosensors," "oral biomarkers," "oral diseases," "saliva," and "Aptamers" in the 'PubMed' and 'Google Scholar' databases for articles published between 2015 and 2025. The initial search yielded 249 publications relevant to the selected 10-year period of the study. After a thorough systematic review and application of the inclusion criteria, 13 studies were included.

Results: This review has demonstrated that Aptasensors had achieved exceptional sensitivity for periodontitis associated biomarkers, analyzing ODAM at 1.63 nM, HBD-2 at 6.8 nM, and cortisol in the low nanomolar range. Aptamer specific for Tannerella forsythia had also shown great specificity with minimal cross-reactivity. These innovative approaches had been successfully applied for periodontitis diagnosis, with a versatile multi-platform technique for ODAM (Lateral Flow, SPR, GO-FRET), a wearable smartwatch for cortisol analysis, and flow cytometry for periodontitis associated microbes’ identification. The integration of Aptamers into Biosensors had enabled detection of periodontal disease and its associated stress conditions, in saliva and gingival crevicular fluid respectively, facilitating real-time analysis and early, chair-side diagnosis

Conclusions: Aptasensors are highly sensitive and specific, offering real-time analysis of underlying conditions by examining targeted biomarkers in saliva.

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Published

2026-08-27

How to Cite

Maryam Zahra, Muhammad Asfandyar Khan, Shahwar Ahmad, & Ambreen. (2026). Developing Aptasensors for Periodontitis Associated Biomarkers Detection in Saliva: A +. International Journal of Pharmacy Research & Technology (IJPRT), 16(2), 3688–3694. Retrieved from https://ijprt.org/index.php/pub/article/view/2911

Issue

Section

Research Article

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