Ehlers-Danlos syndromes. Clinical, genetic and molecular aspects
Abstract
The Ehlers-Danlos syndromes (EDS) are a group of heritable connective tissue disorders that share the common features of skin hyperextensibility, articular hypermobility, and tissue fragility. Considerable clinical and genetic heterogeneity exists, and more than nine separate forms have been recognized. Recent advances in the molecular analysis of EDS have identify defects responsible for EDS VI (homozygous and compound heterozygous mutations in the lysyl-hydroxylase gene), EDS VIIA and EDS VIIB (mutations in the type I collagene genes), EDS VIIC (deficiency of procollagen N-proteinase), EDS IX (mutations in the MNK gene), and EDS IV (mutations in the type III collagen gene). Of the various types of Ehlers-Danlos syndrome the most severe is type IV (EDS IV). Early studies showed that fibroblasts from EDS IV patients secreted lower than normal amounts of type III procollagen (Pope et al., 1975). Later, the disease was linked to COL3A1, the gene encoding this protein. More recently, with the publication of full length cDNA and partial characterisation of the gene structure, detailed analysis of mutations in EDS IV patients has become possible. Nineteen different mutations in the type III procollagen gene have been reported in different families with EDS IV. Recent results support the hypothesis that in EDS IV, dominant inheritance should be assumed, in sporadic cases also, unless proven otherwise. Very little is known about the genetics or biochemicals defects responsible for…
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.