Heterokaryotypic monozygotic twins discordant for Down syndrome (DS) are very rare, with an incidence estimated to be less than 1 over 7,000,000 pregnancy in the general population. Sharing the same genetic patrimony, except for an additional chromosome 21 for one of them, any gene-expression difference between them could be attributed only to the supernumerary chromosome 21 and not to polymorphic variability in the rest of the genome. The setting up of a prospective longitudinal study will offer the major advantage of allowing genetic and epigenetic comparisons between them and to obtain important information on the impact of the environment in which they live and grow up.
It is planned to perform multi-omics analyses in order to reach an integrated understanding of the effect of genomic changes on protein expression, on biochemical posttranslational modifications of the synthetized proteins and on the modulation of some signalling pathways. This study will also allow the generation of induced Pluripotent Stem Cells (iPSCs) from blood cells and fibroblasts of the monozygotic twins useful as in-vitro models to study the pathogenesis and the pathophysiology of Down syndrome. All this may shed the light on new research approaches in Down syndrome. At last, the human gut microbiome, referring to the total microbial population in the human gastrointestinal tract, although thought to have its own impact, will also be studied. The microbiome is known to play a crucial role mainly in protecting the host against pathogenic microbes, modulating immunity, regulating metabolic processes, and controlling neuropsychiatric behaviour
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
5
Blood, skin and stool samples for laboratory analysis
Institut Jérôme Lejeune
Paris, France
RECRUITINGAnalysis of the coding and non-coding genetic variations between participants
Whole Genome Sequencing of DNA samples
Time frame: 1 year
Study of epigenetic modifications
DNA methylation pattern
Time frame: 1 year
Identification of active genes
Analysis of transcriptomic profile from RNA samples
Time frame: 1 year
Determination of the mechanisms of genes regulation
Analysis of transcriptomic profile from RNA samples
Time frame: 1 year
Definition of the network of genes expression
Analysis of transcriptomic profile from RNA samples
Time frame: 1 year
Identification of the proteins regulated differently
Analysis of proteomic profile from plasma samples
Time frame: 1 year
Link specific proteins to some specific complications seen in patients with Down syndrome
Analysis of proteomic profile from plasma samples
Time frame: 1 year
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