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Biomarkers may predict cognitive decline in Parkinson's

Researchers identified brain scans, genetic tests, and CSF analysis as predictive biomarkers for Parkinson's disease-related cognitive decline. Biomarkers associated with dopamine deficiency, beta-amyloid protein, and single nucleotide polymorphisms were found to correlate with cognitive impairment in newly diagnosed patients.

SourcePLOS·JournalPLOS ONE·DateMay 17, 2017

Could Parkinson's disease start in the gut?

A recent study found that people who had a truncal vagotomy at least five years earlier were 40% less likely to develop Parkinson's disease than those who did not have the surgery. The study suggests that the gut may play a role in the development of Parkinson's disease, which often involves gastrointestinal problems.

SourceAmerican Academy of Neurology·JournalNeurology·DateApr 26, 2017

Brain tissue from a petri dish

Researchers at the University of Luxembourg have successfully grown brain-like cultures from human stem cells, mirroring the structure and function of the midbrain. This breakthrough allows for the study of Parkinson's disease mechanisms and potential treatments, as well as reducing animal testing in brain research.

SourceUniversity of Luxembourg·JournalStem Cell Reports·DateApr 13, 2017

Homing system delivers drugs to specific neurons

Researchers have developed a way to deliver drugs to specific types of neurons in the brain, allowing for more precise study and treatment of neurological diseases. The new method, DART, reveals how movement difficulties in Parkinson's Disease are controlled by the AMPA receptor, offering a new approach to treating the disease.

SourceDuke University·JournalScience·DateApr 6, 2017

No sugar coating, but sweet nonetheless

A research team from the University of Freiburg has developed a new method to create microprobes that can grow into neural tissue without causing inflammation. These probes can deliver strong signals even after twelve weeks, opening up new possibilities for diagnoses and treatments for conditions like Parkinson's.

SourceUniversity of Freiburg·JournalBiomaterials·DateApr 5, 2017

On the trail of Parkinson's disease

A team of chemists from Konstanz University has made a significant discovery about the effects of selective mutations on the alpha-synuclein protein. By applying magnetic probes to the protein, they found that these changes disturb the binding of alpha-synuclein to membranes.

SourceUniversity of Konstanz·JournalJournal of the American Chemical Society·DateMar 24, 2017

Hard choices? Ask your brain's dopamine

Researchers at Salk Institute find that changing dopamine levels can alter upcoming choices, suggesting new avenues for treating Parkinson's and OCD. The study uses advanced techniques to measure dopamine concentration in mice brains, revealing a tight association between brain chemistry and decision-making.

SourceSalk Institute·JournalNeuron·DateMar 9, 2017

Hand-grip test can indicate decline in physical function of Parkinson's patients

A recent study published in Archives of Physical Medicine and Rehabilitation found that hand-grip strength is a reliable indicator of physical function decline in Parkinson's patients. The researchers used a portable monitoring device to measure muscle activity, showing that the test was conclusive and easy to administer.

SourceUniversity of British Columbia Okanagan campus·JournalArchives of Physical Medicine and Rehabilitation·DateFeb 1, 2017

Getting closer to treatment for Parkinson's

A Norwegian study from the University of Bergen has identified key mechanisms behind Parkinson's disease, which may lead to future treatments. The research suggests that mitochondrial DNA damage is a primary cause of the disease, and that healthy brain cells can compensate for this damage by producing more DNA.

SourceThe University of Bergen·JournalNature Communications·DateJan 23, 2017

Evolving deep brain stimulation patterns

Duke University researchers have developed a new approach to deep brain stimulation that reduces energy consumption by up to 75% without compromising treatment efficacy. The algorithm uses computational evolution to design tailored patterns for individual patients, leading to improved symptoms and reduced battery replacement procedures.

SourceDuke University·JournalScience Translational Medicine·DateJan 4, 2017