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The Role of Transforming Growth Factor-Beta, Fibroblast Growth Factor, Platelet-derived Growth Factor, Epidermal Growth Factor, Insulin-like Growth Factor, Vascular Endothelial Growth Factor, and Sonic Hedgehog in the Non-syndromic cleft lip with or without cleft palate development: A Scoping Review Ullah, Irfan; Khan, Muhammad Salman; Nasroen, Saskia Lenggogeni; Maskoen, Ani Melani; Sarilita, Erli
Chimica et Natura Acta Vol 12, No 3 (2024)
Publisher : Departemen Kimia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/cna.v12.n3.51493

Abstract

Non-syndromic cleft lip with or without cleft palate (NSCLP) birth defect, it imposes an enormous stress on society and requires nutrition, dental, speech, behavioural, and surgical therapies. The NSCLP multifactorial aetiology, including the environment and genetic factors. The environment and genetic factors affect the cellular mechanism, cell proliferation, cell differentiation, and cell migration and signalling pathways. Genetic growth factors including Transforming Growth Factor-Beta (TGF-β), Fibroblast Growth factors (FGFs), Platelet-derived Growth factors (PDGFs), Epidermal Growth factor (EGF), Insulin-like growth factors (IGF), Vascular Endothelial Growth factor (VEGF), Sonic Hedgehog (SHH). The study aims to understand the role of the growth factors “TGF-β, FGFs, PDGFs, EGF, IGF, VEGF, and SHH” in NSCLP development. Preferential Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) standards were followed when performing this scoping review. The 942 articles were extracted, and the following inclusion and exclusive criteria 43 articles were eligible for review. Twenty-seven studies identify 26 genes and 25 single-nucleotide polymorphisms (SNPs)/variants of the growth factors that are a significant risk for NSCLP development. In conclusion, the analysis of diverse populations and growth factors including TGF-β, FGFs, PDGFs, EGF, IGF, VEGF, and SHH were associated with NSCLP. The growth factors were involved in the cellular mechanism, cell proliferation, cell differentiation cell migration and signalling pathways that lead to the pathogenesis of NSCLP.
Age estimation of ancient skeletons based on the molar teeth attrition Ramadhani, Triane Ayu; Sarilita, Erli; Malinda, Yuti; Yondri, Lutfi; Cunningham, Craig A; Oscandar, Fahmi
Odonto : Dental Journal Vol 12, No 2 (2025): August 2025
Publisher : Faculty of Dentistry, Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/odj.12.2.222-230

Abstract

Background: Two ancient skeletons (Subang Men) were excavated at the Subanglarang site, Subang Regency, West Java, Indonesia. The partial jaw containing set of teeth from the two skeletons was examined to determine the level of dental attrition present which was then used to estimate age at death.Objective: The aim of this study was therefore to determine the pattern of attrition on the molar teeth and use this to estimate the age at death of the Subang Men.Methods: The pattern of attrition in each cusp of the first molar (M1) and second molar (M2) was examined clinically and then compared with the Average Stage of Attrition (ASA) method. Estimated age was then estimated using formula that are outlined in the Average Stage of Attrition (ASA) method.Results: The results showed that the level of attrition that occurred in the M1 and M2 teeth of the two ancient man was significant. The estimated age at death calculated based on the attrition pattern of molar teeth for skeleton 1 was 38.9 and skeleton 2 was 61.9-64.6.Conclusion: Dental attrition which is caused by physiologic and pathologic teeth friction is related to age. Therefore, age estimation can be determined based on the attrition pattern that occurs in the teeth.
Age estimation of ancient skeletons based on the molar teeth attrition Ramadhani, Triane Ayu; Sarilita, Erli; Malinda, Yuti; Yondri, Lutfi; Cunningham, Craig A; Oscandar, Fahmi
Odonto : Dental Journal Vol 12, No 2 (2025): August 2025
Publisher : Faculty of Dentistry, Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/odj.12.2.222-230

Abstract

Background: Two ancient skeletons (Subang Men) were excavated at the Subanglarang site, Subang Regency, West Java, Indonesia. The partial jaw containing set of teeth from the two skeletons was examined to determine the level of dental attrition present which was then used to estimate age at death.Objective: The aim of this study was therefore to determine the pattern of attrition on the molar teeth and use this to estimate the age at death of the Subang Men.Methods: The pattern of attrition in each cusp of the first molar (M1) and second molar (M2) was examined clinically and then compared with the Average Stage of Attrition (ASA) method. Estimated age was then estimated using formula that are outlined in the Average Stage of Attrition (ASA) method.Results: The results showed that the level of attrition that occurred in the M1 and M2 teeth of the two ancient man was significant. The estimated age at death calculated based on the attrition pattern of molar teeth for skeleton 1 was 38.9 and skeleton 2 was 61.9-64.6.Conclusion: Dental attrition which is caused by physiologic and pathologic teeth friction is related to age. Therefore, age estimation can be determined based on the attrition pattern that occurs in the teeth.