Objective: This study intended to evaluate the involvement of genetic factors in the etiology of non-syndromic multiple supernumerary teeth.
Design: We filtered the single nucleotide polymorphisms (SNPs) of the proband and his mother with similar phenotypes through whole-genome sequencing (WGS). By integrating multiple databases related to human genome mutations and disease information for mutation annotation, we excluded the SNPs of people without supernumerary teeth. Subsequently, the bioinformatics analysis tools (Sorting Intolerant From Tolerant (SIFT) < 0.05, Polymorphism Phenotyping (PolyPhen) > 0.90) were used to screen out the most correlated SNPs of the disease, besides, Gene Ontology (GO) analysis (P<0.05, FDR<0.05) and Sanger sequencing was applied to further verify the candidate pathogenic mutation point.
Results: A novel heterozygous variant in fer-1 like family member 6 (FER1L6) gene likely denoted pathogenicity in non-syndromic familial multiple supernumerary teeth. We identified a cohort of 3499 non-synonymous SNPs (nsSNPs), and only 142 nsSNPs with the score of SIFT < 0.05 and PolyPhen > 0.90 were retained. Then we got 54 nsSNPs from 31 candidate genes through GO analysis. Sanger sequencing revealed a missense variant in exon 31 of the FER1L6 gene, causing a transition from guanine to adenine in position 1447 of protein kinase C conserved region 2.
Conclusions: We identified a novel heterozygous chromosome 8q24.13 mutation of FER1L6, which was a new mutation site identified in non-syndromic familial multiple supernumerary teeth through genetic analysis of a Chinese family.
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http://dx.doi.org/10.1016/j.archoralbio.2022.105542 | DOI Listing |
Front Oral Health
December 2024
Department of Periodontics, Sri Balaji Dental College and Hospital, BIHER, Chennai, India.
Artificial intelligence (AI) is a subfield of computer science with the goal of creating intelligent machines (1) Machine learning is a branch of artificial intelligence. In machine learning a datasets are used for training diagnostic algorithms. This review comprehensively explains the applications of AI in the diagnosis in paediatric dentistry.
View Article and Find Full Text PDFPhysiol Behav
January 2025
Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address:
C1q/TNF-related protein 14 (CTRP14), also known as C1q-like 1 (C1QL1), is a synaptic protein predominantly expressed in the brain. It plays a critical role in the formation and maintenance of the climbing fiber-Purkinje cell synapses, ensuring that only one single winning climbing fiber from the inferior olivary neuron synapses with the proximal dendrites of Purkinje cells during the early postnatal period. Loss of CTRP14/C1QL1 results in incomplete elimination of supernumerary climbing fibers, leading to multiple persistent climbing fibers synapsing with the Purkinje cells.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Department of Pediatric Dentistry, Faculty of Dental Medicine, Mohammed V University In Rabat, Morocco.
Teeth, either erupted or impacted, that exceed the normal count are known as supernumerary teeth. They can appear unilaterally or bilaterally, singly or in multiples, and may be located anywhere in both dental arches. Multiple permanent impacted supernumerary teeth are uncommon and are often associated to syndromes but can be idiopathic.
View Article and Find Full Text PDFJ Med Case Rep
December 2024
"Carol Davila" University of Medicine and Pharmacology, Bucharest, Romania.
Background: Congenital scoliosis with progressive potential is a controversial subject in early-onset spinal deformities. The presence of a hemivertebra may produce severe spinal deformities. The evolution of a scoliotic curve in these cases is unpredictable and requires careful follow-up dependent on multiple variables, such as the location of the hemivertebra, the age of the patient at the time of diagnosis, and the degree of deformity already present in both sagittal and frontal planes.
View Article and Find Full Text PDFAm J Orthod Dentofacial Orthop
January 2025
School of Dentistry, University of Michigan, Ann Arbor, Mich.
Introduction: Accuracy and user experience of dental diagnosis for a patient with cleidocranial dysplasia (CCD) using immersive virtual reality (VR) and cone-beam computed tomography multiplanar reconstruction methods were evaluated.
Methods: Dental students (n = 40) were randomly assigned to VR or MP groups. VR participants manipulated and visualized the rendered 3-dimensional model using VR hardware and software.
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