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Title

Impact of non-surgical periodontal therapy on salivary soluble neuropilin-1 among periodontitis patients with and without metabolic syndrome: An interventional study

 

Authors

Rohit Rameshwar, Sathish Rajendran, K. Lakshmi Priya, Jaideep Mahendra* & Geetha Ari

 

Affiliation

Department of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research (MAHER), Chennai, Tamil Nadu, India; *Corresponding author

 

Email

Rohit Rameshwar - E-mail: rohitramsk95@gmail.com
Sathish Rajendran - E-mail: drsathish.perio@madch.edu.in
K. Lakshmi Priya - E-mail: drlakshmipriya.perio@madch.edu.in
Jaideep Mahendra - E-mail: drjaideep.perio@madch.edu.in
Geetha Ari - E-mail: drgeetha.perio@madch.edu.in

 

Article Type

Research Article

 

Date

Received September 1, 2026; Revised September 30, 2026; Accepted September 30, 2026, Published September 30, 2026
 

Abstract

Salivary soluble neuropilin-1 (sNRP1) levels were estimated in both the groups via PCR along with the estimation of the various parameters related to metabolic syndrome and periodontitis. Therefore, it is of interest to evaluate the levels of salivary soluble neuropilin-1 (sNRP1) in periodontally healthy and metabolic syndrome patients with stage II/III grade B periodontitis. Thirty six subjects with metabolic syndrome showed significantly higher anthropometric, biochemical and periodontal parameters compared to systemically healthy individuals. Salivary sNRP1 levels were elevated in the metabolic syndrome group at baseline and decreased after non-surgical periodontal therapy in both groups. sNRP1 showed positive correlations with blood pressure, fasting glucose, triglycerides and periodontal parameters, but not with HDL-c. Thus, data shows that sNRP1 may serve as a potential salivary biomarker linking periodontal inflammation with systemic metabolic risk.

 

Keywords

Type II diabetes, obesity, periodontitis, salivary biomarkers, enzyme-linked immunosorbent assay (ELISA)

 

Citation

Rameshwar et al. Bioinformation 22(9): 6130-6135 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.