Literature DB >> 28459125

The face of Glut1-DS patients: A 3D Craniofacial Morphometric Analysis.

Valentina Pucciarelli1, Simona Bertoli2, Marina Codari3, Ramona De Amicis2, Valentina De Giorgis4, Alberto Battezzati2, Pierangelo Veggiotti4,5, Chiarella Sforza1.   

Abstract

Glut1 deficiency syndrome (Glut1-DS) is a neurological and metabolic disorder caused by impaired transport of glucose across the blood brain barrier (BBB). Mutations on the SCL2A1 gene encoding the glucose transporter protein in the BBB cause the syndrome, which encompasses epilepsy, movement disorders, and mental delay. Such variability of symptoms presents an obstacle to early diagnosis. The patients seem to share some craniofacial features, and identification and quantification of these could help in prompt diagnosis and clinical management. We performed a three-dimensional morphometric analysis of the faces of 11 female Glut1-DS patients using a stereophotogrammetric system. Data were analyzed using both inter-landmark distances and Principal Component Analysis. Compared with data collected from age-, sex-, and ethnicity-matched control subjects, common and homogenous facial features were identified among patients, which were mainly located in the mandible and the eyes. Glut1-DS patients had a more anterior chin; their mandibular body was longer but the rami were shorter, with a reduced gonial angle; they had smaller and down-slanted eyes with a reduced intercanthal distance. This study highlights the importance of morphometric analysis for defining the facial anatomical characteristics of the syndrome better, potentially helping clinicians to diagnose Glut1-DS. Improved knowledge of the facial anatomy of these patients can provide insights into their facial and cerebral embryological development, perhaps further clarifying the molecular basis of the syndrome. Clin. Anat. 30:644-652, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  Glut1 deficiency syndrome; face; principal component analysis; stereophotogrammetry

Mesh:

Substances:

Year:  2017        PMID: 28459125     DOI: 10.1002/ca.22890

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  3 in total

1.  Reproducibility of Novel Soft-Tissue Landmarks on Three-Dimensional Human Facial Scan Images in Caucasian and Asian.

Authors:  Zhouxiao Li; Riccardo Enzo Giunta; Konstantin Frank; Thilo Ludwig Schenck; Konstantin Christoph Koban
Journal:  Aesthetic Plast Surg       Date:  2021-10-26       Impact factor: 2.708

2.  Craniofacial shape in patients with beta thalassaemia: a geometric morphometric analysis.

Authors:  Petros Roussos; Anastasia Mitsea; Demetrios Halazonetis; Iosif Sifakakis
Journal:  Sci Rep       Date:  2021-01-18       Impact factor: 4.379

3.  A Novel Approach for the Shape Characterisation of Non-Melanoma Skin Lesions Using Elliptic Fourier Analyses and Clinical Images.

Authors:  Lloyd A Courtenay; Inés Barbero-García; Julia Aramendi; Diego González-Aguilera; Manuel Rodríguez-Martín; Pablo Rodríguez-Gonzalvez; Javier Cañueto; Concepción Román-Curto
Journal:  J Clin Med       Date:  2022-07-28       Impact factor: 4.964

  3 in total

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