Cleft lip, which results from impaired facial process growth and fusion, is one of the most common craniofacial birth defects. Many genes are known to be involved in the etiology of this disorder; however, our understanding of cleft lip pathogenesis remains incomplete. In the present study, we uncovered a role for sonic hedgehog (SHH) signaling during lip fusion. Mice carrying compound mutations in hedgehog acyltransferase (Hhat) and patched1 (Ptch1) exhibited perturbations in the SHH gradient during frontonasal development, which led to hypoplastic nasal process outgrowth, epithelial seam persistence, and cleft lip. Further investigation revealed that enhanced SHH signaling restricts canonical WNT signaling in the lambdoidal region by promoting expression of genes encoding WNT inhibitors. Moreover, reduction of canonical WNT signaling perturbed p63/interferon regulatory factor 6 (p63/IRF6) signaling, resulting in increased proliferation and decreased cell death, which was followed by persistence of the epithelial seam and cleft lip. Consistent with our results, mutations in genes that disrupt SHH and WNT signaling have been identified in both mice and humans with cleft lip. Collectively, our data illustrate that altered SHH signaling contributes to the etiology and pathogenesis of cleft lip through antagonistic interactions with other gene regulatory networks, including the canonical WNT and p63/IRF6 signaling pathways.
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http://dx.doi.org/10.1172/JCI72688 | DOI Listing |
Codas
January 2025
Programa de Pós-Graduação em Fonoaudiologia, Universidade Estadual Paulista "Júlio de Mesquita Filho" - UNESP - Marília (SP), Brasil.
Purpose: To investigate whether there is a difference in the classification of speech hypernasality by inexperienced listeners using different ordinal scales; to verify the agreement of the listeners in the analyses when using these scales; and to verify whether the order in which the scales are presented influences the results.
Methods: Twenty Speech-Language Pathology students classified the degrees of hypernasality of 40 (oral) samples from patients with cleft lip and palate. Ten performed the classifications using a 4-point scale (absent, mild, moderate, and severe) and, after two weeks, using a 3-point scale (absent, slightly hypernasal, and very hypernasal).
Codas
January 2025
Universidade Vale do Rio Doce - UNIVALE - Governador Valadares (MG), Brasil.
Purpose: To promote orientation about cleft lip and palate and to verify knowledge and satisfaction of an orientation program through a website developed for students and health professionals.
Methods: This is a cross-sectional study, 13 healthcare professionals and 81 students from the areas of nursing, speech-language pathologist, medicine, nutrition, dentistry, and psychology participated. The research consisted of three stages: filling out a pre-program questionnaire, accessing the website (http://fissuralabiopalatina.
J Craniofac Surg
January 2025
Department of Pediatric Plastic Surgery, Children's Hospital Colorado, Aurora, CO.
Introduction: Single-stage bilateral cleft lip repair may require preoperative naso-alveolar molding (NAM) to decrease cleft widths and reposition the premaxilla. Staged operations may be performed in centers or regions without easy access to NAM. This retrospective study aims to examine the national prevalence of single-stage and staged bilateral cleft lip repairs over the past 23 years.
View Article and Find Full Text PDFRiga-Fede disease (RFD) is a rare, benign condition marked by traumatic ulceration on the tongue's ventral side in infants. It arises from friction between the tongue and lower incisors during sucking, potentially worsening into a keratinized lesion if the cause is not addressed. This report details the case of a 1-year-6-month-old male with hydrocephalus, cleft palate, corpus callosum dysgenesis, neuropsychomotor developmental delay, and tracheostomy and gastrostomy needs.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Plastic, Craniofacial and Hand Surgery, Sidra Medicine, and Weill Cornell Medical College, C1-121, Al Gharrafa St, Ar Rayyan, Doha, Qatar.
Training a machine learning system to evaluate any type of facial deformity is impeded by the scarcity of large datasets of high-quality, ethics board-approved patient images. We have built a deep learning-based cleft lip generator called CleftGAN designed to produce an almost unlimited number of high-fidelity facsimiles of cleft lip facial images with wide variation. A transfer learning protocol testing different versions of StyleGAN as the base model was undertaken.
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