Dataset Information

Quantitative assessment of craniofacial morphology in Johanson-Blizzard syndrome.

ABSTRACT: Here we apply objective, reliable methods of dysmorphology diagnosis to a patient with Johanson-Blizzard syndrome (MIM #243800). Using an extensive normative database, we computed standardized scores on a graded continuum for operational definitions of nasal alar hypoplasia, a commonly observed feature of this condition.Most of these measurements in this case were greater than 2 standard deviations below the mean, adjusted for age, gender, and ethnicity.This report provides a worked example of quantitative anthropometric assessment in the context of a case report, using tools that may find general application in clinical genetics.

SUBMITTER: Deutsch CK

PROVIDER: S-EPMC3656659 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

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Quantitative assessment of craniofacial morphology in Johanson-Blizzard syndrome.

Deutsch Curtis K CK Hreczko Tania T Holmes Lewis B LB

Birth defects research. Part A, Clinical and molecular teratology 20130306 3

<h4>Background</h4>Here we apply objective, reliable methods of dysmorphology diagnosis to a patient with Johanson-Blizzard syndrome (MIM #243800). Using an extensive normative database, we computed standardized scores on a graded continuum for operational definitions of nasal alar hypoplasia, a commonly observed feature of this condition.<h4>Case</h4>Most of these measurements in this case were greater than 2 standard deviations below the mean, adjusted for age, gender, and ethnicity.<h4>Conclu ...[more]

PMID: 23463671

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Project description:Quantitative analysis of craniofacial morphology is of interest to scholars working in a wide variety of disciplines, such as anthropology, developmental biology, and medicine. T1-weighted (anatomical) magnetic resonance images (MRI) provide excellent contrast between soft tissues. Given its three-dimensional nature, MRI represents an ideal imaging modality for the analysis of craniofacial structure in living individuals. Here we describe how T1-weighted MR images, acquired to examine brain anatomy, can also be used to analyze facial features. Using a sample of typically developing adolescents from the Saguenay Youth Study (N?=?597; 292 male, 305 female, ages: 12 to 18 years), we quantified inter-individual variations in craniofacial structure in two ways. First, we adapted existing nonlinear registration-based morphological techniques to generate iteratively a group-wise population average of craniofacial features. The nonlinear transformations were used to map the craniofacial structure of each individual to the population average. Using voxel-wise measures of expansion and contraction, we then examined the effects of sex and age on inter-individual variations in facial features. Second, we employed a landmark-based approach to quantify variations in face surfaces. This approach involves: (a) placing 56 landmarks (forehead, nose, lips, jaw-line, cheekbones, and eyes) on a surface representation of the MRI-based group average; (b) warping the landmarks to the individual faces using the inverse nonlinear transformation estimated for each person; and (3) using a principal components analysis (PCA) of the warped landmarks to identify facial features (i.e. clusters of landmarks) that vary in our sample in a correlated fashion. As with the voxel-wise analysis of the deformation fields, we examined the effects of sex and age on the PCA-derived spatial relationships between facial features. Both methods demonstrated significant sexual dimorphism in craniofacial structure in areas such as the chin, mandible, lips, and nose.

Project description:Microbes colonize anatomical sites in health to form commensal microbial communities (e.g., commensal gut microbiota, commensal skin microbiota, commensal oral microbiota). Commensal microbiota has indirect effects on host growth and maturation through interactions with the host immune system. The commensal microbiota was recently introduced as a novel regulator of skeletal growth and morphology at noncraniofacial sites. Further, we and others have shown that commensal gut microbes, such as segmented filamentous bacteria (SFB), contribute to noncraniofacial skeletal growth and maturation. However, commensal microbiota effects on craniofacial skeletal growth and morphology are unclear. To determine the commensal microbiota's role in craniofacial skeletal growth and morphology, we performed craniometric and bone mineral density analyses on skulls from 9-week-old female C57BL/6T germ-free (GF) mice (no microbes), excluded-flora (EF) specific-pathogen-free mice (commensal microbiota), and murine-pathogen-free (MPF) specific-pathogen-free mice (commensal microbiota with SFB). Investigations comparing EF and GF mice revealed that commensal microbiota impacted the size and shape of the craniofacial skeleton. EF versus GF mice exhibited an elongated gross skull length. Cranial bone length analyses normalized to skull length showed that EF versus GF mice had enhanced frontal bone length and reduced cranial base length. The shortened cranial base in EF mice was attributed to decreased presphenoid, basisphenoid, and basioccipital bone lengths. Investigations comparing MPF mice and EF mice demonstrated that commensal gut microbes played a role in craniofacial skeletal morphology. Cranial bone length analyses normalized to skull length showed that MPF versus EF mice had reduced frontal bone length and increased cranial base length. The elongated cranial base in MPF mice was due to enhanced presphenoid bone length. This work, which introduces the commensal microbiota as a contributor to craniofacial skeletal growth, underscores that noninvasive interventions in the gut microbiome could potentially be employed to modify craniofacial skeletal morphology. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Dataset Information

Quantitative assessment of craniofacial morphology in Johanson-Blizzard syndrome.

Publications

Quantitative assessment of craniofacial morphology in Johanson-Blizzard syndrome.

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