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All Journal Sriwijaya Journal of Neurology Crown: Journal of Dentistry and Health Research
Akmal Hasan
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Neuroscience Public Health

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Prenatal Exposure to Maternal Stress and Neurodevelopmental Outcomes in Children: A Longitudinal Study with Epigenetic Analysis in Jakarta, Indonesia Fatimah Mursyid; Akmal Hasan; Tomiola Owkwulu; Maximillian Wilson; Yi-Fen Huang; Husin Sastranagara
Sriwijaya Journal of Neurology Vol. 2 No. 1 (2024): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i2.81

Abstract

Introduction: Prenatal exposure to maternal stress has been identified as a potential risk factor for adverse neurodevelopmental outcomes in children. This study aimed to investigate the association between prenatal maternal stress and neurodevelopmental outcomes in children in Jakarta, Indonesia, and to explore the potential mediating role of epigenetic modifications. Methods: A longitudinal cohort study was conducted involving 300 pregnant women recruited from antenatal clinics in Jakarta. Maternal stress was assessed during the second trimester of pregnancy using the Perceived Stress Scale (PSS). Neurodevelopmental outcomes in children were evaluated at 12 and 24 months of age using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). Epigenetic analysis of cord blood DNA methylation was performed using the Illumina Infinium MethylationEPIC BeadChip. Results: Higher maternal stress scores during pregnancy were significantly associated with lower cognitive, language, and motor scores in children at 12 and 24 months of age. Epigenetic analysis revealed differential methylation patterns in genes related to neurodevelopment in children exposed to high prenatal maternal stress. Mediation analysis indicated that DNA methylation partially mediated the association between prenatal maternal stress and neurodevelopmental outcomes. Conclusion: Prenatal exposure to maternal stress is associated with adverse neurodevelopmental outcomes in children, and epigenetic modifications may play a mediating role in this relationship. These findings highlight the importance of addressing maternal stress during pregnancy to promote optimal child neurodevelopment.
Accuracy and Efficiency of Artificial Intelligence-Driven Treatment Planning in Clear Aligner Therapy: A Comparative Study with Conventional Methods in Bandung, Indonesia Dea Albertina; Akmal Hasan; Tiffany Gabriele; Aisyah Andina Rasyid
Crown: Journal of Dentistry and Health Research Vol. 1 No. 1 (2023): Crown: Journal of Dentistry and Health Research
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/crown.v1i1.55

Abstract

Introduction: Clear aligner therapy (CAT) has gained popularity as an esthetic alternative to traditional braces. Artificial intelligence (AI) is increasingly being integrated into CAT treatment planning, promising improved accuracy and efficiency. This study aimed to compare the accuracy and efficiency of AI-driven treatment planning with conventional methods in Bandung, Indonesia. Methods: A retrospective study was conducted involving 100 patients treated with CAT in Bandung. Fifty patients were treated using conventional methods (CM) by experienced orthodontists, while the other 50 were planned with AI-driven software. Accuracy was assessed by comparing the planned tooth movement with the actual outcome using Little's Irregularity Index (LII) and Peer Assessment Rating (PAR) scores at the end of treatment. Efficiency was evaluated by comparing the time required for treatment planning and the number of refinements needed. Results: The AI-driven group demonstrated significantly lower LII scores (p<0.05) and higher PAR scores (p<0.05) compared to the CM group, indicating greater accuracy in achieving the planned tooth movement. Additionally, the AI-driven group showed a significant reduction in treatment planning time (p<0.05) and fewer refinement aligners required (p<0.05) compared to the CM group. Conclusion: AI-driven treatment planning in CAT demonstrated superior accuracy and efficiency compared to conventional methods in Bandung, Indonesia. AI has the potential to optimize treatment outcomes and reduce treatment time, offering a valuable tool for orthodontists.
Co-Authors Aisyah Andina Rasyid Dea Albertina Fatimah Mursyid Husin Sastranagara Maximillian Wilson Tiffany Gabriele Tomiola Owkwulu Yi-Fen Huang