Vanderbilt researchers used novel MRI methods to noninvasively quantify measures of neurofluid circulation and found that hypertrophy of a site of cerebrospinal fluid egress may be related to amyloid-beta retention in Alzheimer’s disease.
Detailed studies of the enzymatic properties of PNPLA1 support the requirement for this protein in skin barrier formation.
A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.
Vanderbilt research finds that GLP1 receptor agonists — a class of diabetes medications — are associated with fewer major adverse cardiovascular events than another type of diabetes drug (DPP4 inhibitors) in older veterans with no prior heart disease.
Vanderbilt researchers identified optimal MRI parameters for estimating the severity of polycystic kidney disease, a common inherited disorder that can lead to end-stage renal failure.
A new technique will allow researchers to track subsets of immune cells that patrol and defend the lungs, to better understand the roles of these cells during lung inflammation, infection and injury.
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