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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
Hong  LiHong Li1Junling  ShenJunling Shen1Mei  TangMei Tang1Siran  WanSiran Wan1Shunhong  ZhangShunhong Zhang2*
  • 1Pangang Group General Hospital, Panzhihua, China
  • 2Department of Cardiology, Pangang Group General Hospital, Panzhihua, China

The final, formatted version of the article will be published soon.

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

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