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Erschienen in: Clinical Oral Investigations 3/2019

25.06.2018 | Original Article

Metabolomics profiling of cleidocranial dysplasia

verfasst von: Zhaoqiang Zhang, Kefeng Li, Mengdie Yan, Qiuping Lin, Jiahong Lv, Ping Zhu, Yue Xu

Erschienen in: Clinical Oral Investigations | Ausgabe 3/2019

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Abstract

Objectives

Cleidocranial dysplasia (CCD) is a rare autosomal-dominantly inherited skeletal dysplasia that is predominantly associated with heterozygous mutations of RUNX2. However, no information is available regarding metabolic changes associated with CCD at present.

Materials and methods

We analyzed members of a CCD family and checked for mutations in the RUNX2 coding sequence using the nucleotide BLAST program. The 3D protein structure of mutant RUNX2 was predicted by I-TASSER. Finally, we analyzed metabolites extracted from plasma using LC-MS/MS.

Results

We identified a novel mutation (c.1061insT) that generates a premature termination in the RUNX2 coding region, which, based on protein structure prediction models, likely alters the protein’s function. Interestingly, metabolomics profiling indicated that 30 metabolites belonging to 13 metabolic pathways were significantly changed in the CCD patients compared to normal controls.

Conclusions

The results highlight interesting correlations between a RUNX2 mutation, metabolic changes, and the clinical features in a family with CCD. The results also contribute to our understanding of the pathogenetic processes underlying this rare disorder.

Clinical relevance

This study provides the first metabolomics profiling in CCD patients, expands our insights into the pathogenesis of the disorder, may help in diagnostics and its refinements, and may lead to novel therapeutic approaches to CCD.
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Metadaten
Titel
Metabolomics profiling of cleidocranial dysplasia
verfasst von
Zhaoqiang Zhang
Kefeng Li
Mengdie Yan
Qiuping Lin
Jiahong Lv
Ping Zhu
Yue Xu
Publikationsdatum
25.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Oral Investigations / Ausgabe 3/2019
Print ISSN: 1432-6981
Elektronische ISSN: 1436-3771
DOI
https://doi.org/10.1007/s00784-018-2496-9

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