Title

Biological susceptibility to root resorption in clear aligner therapy: A mini review

Authors

Mariana Lourdes Barrionuevo^1,*, Laura Salome Pulido Cristancho², Arlety Acosta Muy³, Gina Paola Forero Velasco², Sandy Arias Arias⁴ & Luz Garcia⁵

Affiliation

¹Department of Dentistry, Universidad Nacional de Tucumán, Argentina; ²Department of Dentistry, Institución Universitaria Colegios de Colombia, Bogotá, Colombia; ³Department of Dentistry, Universidad de Ciencias Médicas de La Habana, Cuba; ⁴Department of Dentistry, Universidad de Cartagena, Colombia, South America; ⁵Department of Dentistry, Universidad del Zulia, Venezuela, South America; *Corresponding author

Email

Mariana Lourdes Barrionuevo - E-mail: mariana.lourdes282@gmail.com
Laura Salome Pulido Cristancho - E-mail: salomepulido2212@gmail.com
Arlety Acosta Muy - E-mail: ricotalety@gmail.com
Gina Paola Forero Velasco - E-mail: ginaoski@gmail.com
Sandy Arias Arias - E-mail: sandypatry@yahoo.com
Luz Garcia - E-mail: luzmarina10_7@hotmail.com

Article Type

Views

Date

Received August 1, 2026; Revised August 31, 2026; Accepted August 31, 2026, Published August 31, 2026

Abstract

External apical root resorption (EARR) persists in clear aligner therapy and reflects individual biological susceptibility more than appliance type. Polymorphisms in inflammatory and vitamin D pathway genes, including IL1B, RANK and VDR, shift individual EARR risk. Gingival crevicular fluid biomarkers, such as interleukin-6, interleukin-8 and matrix metalloproteinase-8, track the active resorptive phase. AI-assisted three-dimensional imaging quantifies apical loss objectively, near 0.6 to 0.8 mm and comparable to fixed appliances. Thus, data shows that integrating genetic, biomarker and imaging data points toward personalized, early prediction of resorption risk.

Keywords

External apical root resorption (EARR), clear aligner therapy, genetic polymorphisms, molecular biomarkers, personalized orthodontics

Citation

Barrionuevo et al. Bioinformation 22(8): 4921-4923 (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.