SLC26A2-mediated sulfate metabolism is essential for the tooth development
Bibliographic record
Abstract
Abstract The sulfate transporter gene SLC26A2 is responsible for diastrophic dysplasia, which represents skeletal dysplasia in humans. This highlights the importance of sulfate metabolism in skeletal formation. SLC26A2-related chondrodysplasia is also known to exhibit abnormalities in craniofacial and tooth development. Although the function of SLC26A2 in mammals has been investigated using genetic mouse models, the essential role of SLC26A2 during craniofacial and tooth development has not been elucidated. In this study, we demonstrate the pivotal roles of SLC26A2-mediated sulfate metabolism during tooth development. Analysis of Slc26a2 expression reveals that it is predominantly expressed in dental tissues, including odontoblasts and ameloblasts, during tooth development. Slc26a2 knockout mice ( Slc26a2-KO-Δexon2 ) exhibit a retrognathic upper jaw, small upper incisors, and hypoplasia of upper molars. Additionally, upper incisors and molars in Slc26a2-KO-Δexon2 mice display flattened odontoblasts and nuclei that lack intracellular polarity. In contrast, tooth phenotype is not remarkable in lower incisors and molars. Furthermore, the expression of odontoblast differentiation markers, Dspp and Dmp1 , is significantly decreased in the upper molars of Slc26a2 -deficient mice. Ex vivo organ culture of tooth germs by implantation of Slc26a2 -deficient tooth germs under the kidney capsule reveals hypoplasia of the dentin matrix as well as tooth root shortening. In vitro studies using human dental pulp stem cells (hDPSCs) show that the expression levels of Dspp and Dmp1 in shSlc26a2 knockdown cells are significantly decreased compared to control cells. Collectively, our data demonstrate that SLC26A2-mediated sulfate metabolism is essential for tooth development. This study may provide insight into the mechanisms underlying tooth abnormalities in patients with recessively inherited chondrodysplasias caused by mutations in the SLC26A2 gene.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".