Title

Dermatoglyphic patterns as predictors of dental pain perception

Authors

Charanya Chandrasekaran¹,*, S. Harishma¹, A. Renin Maria¹, Kokila Sivakumar², V. Solomon Prabhu¹ & G. Nandhini¹

Affiliation

¹Department of Conservative Dentistry and Endodontics, Chettinad dental college and research institute, Kelambakkam, Chennai, India; ²Department of Oral and Maxillofacial Pathology, Adhiparasakthi Dental College and Hospital, Melmaruvathur, Tamil Nadu, India; * Corresponding author

Email

Charanya Chandrasekaran - E-mail: charanyac@care.edu.in

S. Harishma - E-mail: harishmas@care.edu.in

A. Renin Maria - E-mail: bd202223002@care.edu.in

Kokila Sivakumar - E-mail: drkokila@apdch.edu.in

V. Solomon Prabhu - E-mail: solomonprabhuv@care.edu.in

G. Nandhini - E-mail: nandhini@care.edu.in

Article Type

Research Article

Date

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

Abstract

Pain perception in an individual in endodontics remains a challenge and dermatoglyphics suggests reliable non-invasive markers are lacking. Therefore, it is of interest to evaluate the association between pain and dermatoglyphics from 200 patients within 18 to 45 years, diagnosed with symptomatic irreversible pulpitis and symptomatic apical periodontitis assessed using the Heft-Parker Visual Analogue Scale. The arch pattern demonstrated a significantly higher pain score (n=63) (118.84 ± 30.31) compared with whorl (n=57) (93.29 ± 33.01) and loop (n=80) (93.16 ± 32.36) (F=4.183, p=0.020). The arch pattern was associated with the highest pain, suggesting that dermatoglyphic configurations may serve as non-invasive predictors of individual pain thresholds. Thus, data shows the dermatoglyphics association with endodontic pain perception, thereby proving it to be non-invasive approach for predicting individual pain response before treatment.

Keywords

Dermatoglyphics, pain perception, biomarkers, pulpitis, visual analogue scale

Citation

Chandrasekaran et al. Bioinformation 22(6): 3758-3761 (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.