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Cantú 综合征的三维面型特征。

Three-dimensional facial morphology in Cantú syndrome.

机构信息

Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Division of Genetics and Genomic Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.

出版信息

Am J Med Genet A. 2020 May;182(5):1041-1052. doi: 10.1002/ajmg.a.61517. Epub 2020 Feb 26.

Abstract

Cantú syndrome (CS) was first described in 1982, and is caused by pathogenic variants in ABCC9 and KCNJ8 encoding regulatory and pore forming subunits of ATP-sensitive potassium (K ) channels, respectively. It is characterized by congenital hypertrichosis, osteochondrodysplasia, extensive cardiovascular abnormalities and distinctive facial anomalies including a broad nasal bridge, long philtrum, epicanthal folds, and prominent lips. Many genetic syndromes, such as CS, involve facial anomalies that serve as a significant clue in the initial identification of the respective disorder before clinical or molecular diagnosis are undertaken. However, an overwhelming number of CS patients receive misdiagnoses based on an evaluation of coarse facial features. By analyzing three-dimensional images of CS faces, we quantified facial dysmorphology in a cohort of both male and female CS patients with confirmed ABCC9 variants. Morphometric analysis of different regions of the face revealed gender-specific significant differences in face shape. Moreover, we show that 3D facial photographs can distinguish between CS and other genetic disorders with specific facial dysmorphologies that have been mistaken for CS-associated anomalies in the past, hence assisting in an earlier clinical and molecular diagnosis. This optimizes genetic counseling and reduces stress for patients and parents by avoiding unnecessary misdiagnosis.

摘要

坎图综合征(CS)于 1982 年首次被描述,是由 ABCC9 和 KCNJ8 编码的 ATP 敏感性钾(K+)通道的调节亚基和孔形成亚基的致病性变异引起的。其特征为先天性多毛症、骨软骨发育不良、广泛的心血管异常和独特的面部异常,包括宽鼻梁、长人中、内眦赘皮和突出的嘴唇。许多遗传综合征,如 CS,都涉及面部异常,这些异常在进行临床或分子诊断之前,为确定相应疾病提供了重要线索。然而,大量 CS 患者基于粗糙的面部特征评估而被误诊。通过分析 CS 患者的三维面部图像,我们对经证实存在 ABCC9 变异的男性和女性 CS 患者队列进行了面部畸形的定量分析。对面部不同区域的形态测量分析显示出性别特异性的显著差异。此外,我们还表明,3D 面部照片可以区分 CS 和其他具有特定面部畸形的遗传疾病,这些疾病过去曾被误认为是 CS 相关的异常,从而有助于更早的临床和分子诊断。这优化了遗传咨询,并通过避免不必要的误诊,减轻了患者和家长的压力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76d6/7217184/aec2dd848e0f/AJMG-182-1041-g001.jpg

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