Beyond the diagnosis: Unraveling DSPP genotype-phenotype correlations in dentin dysplasia and dentinogenesis imperfecta

The <i>DSPP</i> gene regulates dentin mineralisation, and its pathogenic variants cause a spectrum of defects ranging from dentin dysplasia (DD-II) to dentinogenesis imperfecta (DGI-II/III). Clinical variability often confounds diagnosis. This systematic review of 48 publications (70 variants, 99 records) delineates quantitative genotype-phenotype correlations. Results revealed distinct molecular clustering: Exon 5 harboured 61 % of variants, predominantly frameshifts disrupting the repetitive dentin phosphoprotein (DPP) domain. In contrast, upstream regions (exons 2-4) contained mixed variant types affecting the signal peptide and dentin sialoprotein (DSP). Statistical analysis established a definitive severity gradient. Exon 5 frameshifts were significantly associated with the milder DD-II, characterised by thistle-shaped pulps and clinically normal permanent dentition. Conversely, upstream signal peptide, splice site, and missense variants (exons 2-3) were linked to the severe DGI-III, manifesting as 'shell teeth', rapid attrition, and pulp exposure requiring complex prosthodontic intervention. DGI-II displayed no specific genomic clustering, representing an intermediate phenotype. These findings provide complementary insights to historical classifications, highlighting a continuous spectrum of <i>DSPP</i> disorders where upstream defects cause severe failure, while downstream defects result in attenuated localised anomalies. Consequently, integrating <i>DSPP</i> genotyping into diagnostic workflows is essential to predict disease progression, refine molecular taxonomy beyond the Shields system, and guide personalised rehabilitation.

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Publication Details

Journal
Japanese Dental Science Review
Published
2026-01-15
DOI
https://doi.org/10.1016/j.jdsr.2026.01.001
Primary Topic
Bone and Dental Protein Studies
Type
article
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article

Beyond the diagnosis: Unraveling DSPP genotype-phenotype correlations in dentin dysplasia and dentinogenesis imperfecta

Soranun Chantarangsu, Angkana Boonyakanog, Annop Krasaesin, Kanokrat Sriwangyang et al.
Japanese Dental Science Review
Bone and Dental Protein Studies
article

Beyond the diagnosis: Unraveling DSPP genotype-phenotype correlations in dentin dysplasia and dentinogenesis imperfecta

Soranun Chantarangsu, Angkana Boonyakanog, Annop Krasaesin, Kanokrat Sriwangyang, Thamasorn Eamtanaporn, Sung-Dae Cho, Kausar Sadia Fakhruddin, Hamid A. Rokny, Thantrira Porntaveetus
article en

Abstract

The <i>DSPP</i> gene regulates dentin mineralisation, and its pathogenic variants cause a spectrum of defects ranging from dentin dysplasia (DD-II) to dentinogenesis imperfecta (DGI-II/III). Clinical variability often confounds diagnosis. This systematic review of 48 publications (70 variants, 99 records) delineates quantitative genotype-phenotype correlations. Results revealed distinct molecular clustering: Exon 5 harboured 61 % of variants, predominantly frameshifts disrupting the repetitive dentin phosphoprotein (DPP) domain. In contrast, upstream regions (exons 2-4) contained mixed variant types affecting the signal peptide and dentin sialoprotein (DSP). Statistical analysis established a definitive severity gradient. Exon 5 frameshifts were significantly associated with the milder DD-II, characterised by thistle-shaped pulps and clinically normal permanent dentition. Conversely, upstream signal peptide, splice site, and missense variants (exons 2-3) were linked to the severe DGI-III, manifesting as 'shell teeth', rapid attrition, and pulp exposure requiring complex prosthodontic intervention. DGI-II displayed no specific genomic clustering, representing an intermediate phenotype. These findings provide complementary insights to historical classifications, highlighting a continuous spectrum of <i>DSPP</i> disorders where upstream defects cause severe failure, while downstream defects result in attenuated localised anomalies. Consequently, integrating <i>DSPP</i> genotyping into diagnostic workflows is essential to predict disease progression, refine molecular taxonomy beyond the Shields system, and guide personalised rehabilitation.

Japanese Dental Science ReviewVol. 62
Seoul National University (KR), Chulalongkorn University (TH), The University of Western Australia (AU), University of Saskatchewan (CA), Neuroscience Research Australia (AU)
Openalex Percentile: Top 88%
Bone and Dental Protein Studies
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