REVIEW article
Front. Pediatr.
Sec. Genetics of Common and Rare Diseases
Volume 13 - 2025 | doi: 10.3389/fped.2025.1658654
From FGFR2 Mutations to Precision Management: A Review of Prenatal Diagnosis and Multidisciplinary Interventions in Apert Syndrome
Provisionally accepted- 1Pangang Group General Hospital, Panzhihua, China
- 2Department of Cardiology, Pangang Group General Hospital, Panzhihua, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Apert syndrome is a severe autosomal dominant disorder caused by recurrent FGFR2 mutations, characterized by the prenatal triad of craniosynostosis, midface hypoplasia, and symmetric syndactyly. This review synthesizes evidence defining core sonographic features: turribrachycephaly secondary to bicoronal suture fusion, facial profile abnormalities including depressed nasal bridge and hypertelorism, and the distinctive "mitten hands/sock feet" syndactyly pattern best visualized via advanced 3D ultrasound in late gestation. Fetal MRI complements ultrasound by identifying associated intracranial anomalies and microstructural brain changes linked to neurodevelopmental outcomes. A definitive diagnosis relies on targeted FGFR2 sequencing. Prenatal identification of these features enables essential coordinated care, including thorough parental counseling, proactive perinatal planning for potential airway compromise, and coordinated neonatal care involving craniofacial, genetic, and neurodevelopmental specialists. The integration of structured imaging assessment with rapid molecular diagnostics facilitates a shift from passive anomaly identification to proactive, risk-stratified management, thereby optimizing the long-term functional prognosis through timely interventions.
Keywords: Apert syndrome, Prenatal Diagnosis, review, Craniosynostosis, Syndactyly, multidisciplinary management
Received: 02 Jul 2025; Accepted: 20 Oct 2025.
Copyright: © 2025 Li, Shen, Tang, Wan and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Shunhong Zhang, 258491099@qq.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.