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The only currently available treatment for Menkes disease, subcutaneous copper histidinate injections, is successful only in patients with ATP7A gene mutations that do not completely corrupt ATP7A copper transport function (estimated 20-25% of affected patients) and when started at a very early age (first month of life). The combination of viral gene therapy with copper injections provides working copies of the ATP7A copper transporter into the brain, together with a source of the substrate (copper)  needed for proper brain growth and clinical neurodevelopment.

Some existing therapies for treatment of pain are administered systematically and have significant side effects, such as addiction and drowsiness. Alternative therapy that does not impair normal touch function could be used to treat pain caused by mechanical injury or chronic inflammation. Administration of margaric acid was shown to ameliorate pain in mouse models of pain. In vitro data shows that margaric acid counteracts PIEZO2 (Piezo-type mechanosensitive ion channel component 2) potentiation evoked by bradykinin (i.e.

There is no known cure for Alzheimer’s disease, a brain disorder that severely affects memory, thinking, learning, and organizing skills. It eventually decreases a person’s ability to carry out simple, daily activities. It is predicted that over 14 million Americans will develop Alzheimer’s without effective treatment options. Mild cognitive impairment (MCI) is a stage prior to Alzheimer’s when memory problems become noticeable. A patient’s ability to function and live independently remain intact as the brain compensates for disease-related changes.

The limited choice in cell types available for in vitro studies has become an obstacle in hibernation research. 

Researchers at the National Eye Institute for the first time have successfully established iPSC line(s) from a mammalian hibernator, which can be potentially used to generate various cell types and tissue models for in-depth mechanistic studies of hibernation and coldness tolerance in vitro. 

Scientists at the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) have developed a method implemented as pulse sequences and software to be used with magnetic resonance imaging (MRI) scanners and systems. This technology is available for licensing and commercial development. The method allows for measuring and mapping features of the bulk or average apparent diffusion coefficient (ADC) of water in tissue – aiding in stroke diagnosis and cancer therapy assessment.

Current therapies for glioblastoma multiforme (GBM), the highest grade malignant brain tumor, are mostly ineffective, and better preclinical model systems are needed to increase the successful translation of drug discovery efforts into the clinic. Scientists at the National Cancer Institute (NCI) have developed and characterized an orthotopic genetically engineered mouse (GEM)-derived model of GBM that closely recapitulates various human GBM subtypes and is useful for preclinical evaluation of candidate therapeutics.

Measuring and mapping nervous tissue microstructure noninvasively is a long sought-after goal in neuroscience. Several neuropathologies – such as cancer and stroke – are associated with changes in tissue microstructure. Changes in material properties, such as stiffness, represent a sensitive measure of

There are no effective treatments for Alzheimer’s disease (AD), a progressive brain disease that slowly destroys a person’s memory, cognitive skills and ability to carry out the simplest tasks. AD affects more than 5 million individuals in the United States and ranks as the sixth leading cause of death. The ε4 allele of the apolipoprotein-E (APOE) gene is the strongest genetic risk factor for sporadic or late-onset AD. Heterozygous carriers of the ε4 allele are at three-to-four times greater risk; homozygous carriers are at ten times greater risk.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.