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Vessel maturation schedule determines vulnerability to neuronal injuries of prematurity.

The Journal of clinical investigation | 2015

Premature birth is a major risk factor for multiple brain pathologies, notably periventricular leukomalacia (PVL), which is distinguished by bilateral necrosis of neural tissue around the ventricles and a sequela of neurological disturbances. The 2 hallmarks of brain pathologies of prematurity are a restricted gestational window of vulnerability and confinement of injury to a specific cerebral region. Here, we examined the proposition that both of these features are determined by the state of blood vessel immaturity. We developed a murine genetic model that allows for inducible and reversible VEGF blockade during brain development. Using this system, we determined that cerebral vessels mature in a centrifugal, wave-like fashion that results in sequential acquisition of a functional blood-brain barrier and exit from a VEGF-dependent phase, with periventricular vessels being the last to mature. This developmental program permitted selective ablation of periventricular vessels via episodic VEGF blockade within a specific, vulnerable gestational window. Enforced collapse of ganglionic eminence vessels and resultant periventricular neural apoptosis resulted in a PVL-like phenotype that recapitulates the primary periventricular lesion, ventricular enlargement, and the secondary cortical deficit in out-migrating GABAergic inhibitory interneurons. These findings provide an animal model that reproduces the temporal and spatial specificities of PVL and indicate that damage to VEGF-dependent, immature periventricular vessels contributes to PVL development.

Pubmed ID: 25689256 RIS Download

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Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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