98%
921
2 minutes
20
Most vertebrate species undergo tooth replacement throughout adult life. This process is marked by the shedding of existing teeth and the regeneration of tooth organs. However, little is known about the genetic circuitry regulating tooth replacement. Here, we tested whether fish orthologs of genes known to regulate mammalian hair regeneration have effects on tooth replacement. Using two fish species that demonstrate distinct modes of tooth regeneration, threespine stickleback (Gasterosteus aculeatus) and zebrafish (Danio rerio), we found that transgenic overexpression of four different genes changed tooth replacement rates in the direction predicted by a hair regeneration model: Wnt10a and Grem2a increased tooth replacement rate, whereas Bmp6 and Dkk2 strongly inhibited tooth formation. Thus, similar to known roles in hair regeneration, Wnt and BMP signals promote and inhibit regeneration, respectively. Regulation of total tooth number was separable from regulation of replacement rates. RNA sequencing of stickleback dental tissue showed that Bmp6 overexpression resulted in an upregulation of Wnt inhibitors. Together, these data support a model in which different epithelial organs, such as teeth and hair, share genetic circuitry driving organ regeneration.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10730089 | PMC |
http://dx.doi.org/10.1242/dev.202168 | DOI Listing |
Anat Rec (Hoboken)
September 2025
Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa.
A subadult Moschognathus whaitsi from the Eastern Cape Province, South Africa, was scanned using synchrotron radiation X-ray computed tomography (SRXCT). Its subadult state allowed the cranial bones and teeth to be identified and individually reconstructed in 3D. A complete description of every preserved cranial bone is here produced, with special attention given to the braincase.
View Article and Find Full Text PDFInt J Dent
August 2025
Department of Periodontics, Virginia Commonwealth University, Richmond, Virginia, USA.
Periodontal splints offer a noninvasive and inexpensive treatment modality to stabilize mobile teeth. This study evaluated periodontal splints to examine their longevity and long-term stability. A retrospective chart review was performed for patients who received splints on mandibular or maxillary anterior teeth.
View Article and Find Full Text PDFCureus
August 2025
Department of Orthodontics and Dentofacial Orthopaedics, King George's Medical University, Lucknow, IND.
Introduction For successful replantation of avulsed teeth, preserving the vitality of periodontal ligament (PDL) cells of the avulsed tooth is important. The aim of the present study was to evaluate the usage of glycerol by comparing its different concentrations with the gold standard medium, i.e.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Biology, University of Florida, Gainesville, FL 32611.
Chimaeras () are an understudied group of mostly deep-ocean cartilaginous fishes () with unique characteristics that distinguish them from their distant relatives, sharks, skates, and rays. Unlike sharks, chimaeras lack scales and do not have serially replacing rows of serrated teeth crowned with enameloid. Instead, they possess a fused dentition of dentine tooth plates.
View Article and Find Full Text PDFInt J Legal Med
September 2025
Department of Oral Implantology, Xiangya Stomatological Hospital, Central South University, No. 72 Xiangya Road, Kaifu District, Changsha, Hunan Province, PR China.
Age inference is a key focus of forensic work, and traditional dental age inference methods require individuals to have a complete dental arch. However, congenital or acquired tooth loss may lead to random tooth loss in individuals, resulting in bias in age prediction. To address this issue, we validated and modified Bedek's tooth age inference method (a method for inferring the age of a population with missing teeth) for the first time in the Chinese population of children with complete dentition, congenital tooth loss, and acquired tooth loss, and constructed two new machine learning based tooth age inference methods (unilateral mandible and bilateral mandible tooth age estimation models) in this population.
View Article and Find Full Text PDF