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DOI 10.3390/ijms27104528

Медицинская библиотека · International journal of molecular sciences · 2026

A Signaling-Threshold Framework for Human Tooth Agenesis: Integrating Molecular Genetics with Developmental Field Theory.

Kuc Anna Ewa, Kuc Paulina, Kuc Natalia, Sulewska Magdalena, Tylicka Marzena, Sarul Michał

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Аннотация

Tooth agenesis is a common developmental anomaly of the human dentition, ranging from hypodontia to oligodontia, yet its marked phenotypic variability remains insufficiently explained. This review synthesizes developmental and molecular evidence on epithelial-mesenchymal interactions during early odontogenesis and proposes a signaling-threshold framework for human tooth agenesis. We focus on the coordinated roles of Wnt/β-catenin, bone morphogenetic protein (BMP), fibroblast growth factor (FGF), and Sonic hedgehog (SHH) pathways and on recurrent disease-associated genes, including MSX1, PAX9, WNT10A, and AXIN2, as quantitative modulators of pathway activity rather than binary determinants of tooth identity. Within this framework, successful tooth initiation may depend on whether integrated signaling output exceeds a field-specific activation threshold within spatially graded developmental regions of the dental arch. Differences in signaling amplitude, duration, and transcriptional responsiveness may therefore account for distal tooth susceptibility, variable penetrance, arch asymmetry, and the broad clinical spectrum from mild hypodontia to severe oligodontia. By integrating molecular genetics with developmental field theory, this model provides a testable systems-level explanation for selective tooth absence and highlights priority directions for future functional and genotype-phenotype studies.

Для цитирования: Kuc Anna Ewa, Kuc Paulina, Kuc Natalia, Sulewska Magdalena, Tylicka Marzena, Sarul Michał. A Signaling-Threshold Framework for Human Tooth Agenesis: Integrating Molecular Genetics with Developmental Field Theory.. International journal of molecular sciences. 2026. DOI: 10.3390/ijms27104528.

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