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Reducing tremors in LRRK2-G2019S genetically-mutated Parkinson’s flies with a lovastatin–levodopa combination

Foell et al. | Nov 11, 2026

Reducing tremors in LRRK2-G2019S genetically-mutated Parkinson’s flies with a lovastatin–levodopa combination
Image credit: Authors

Here the authors investigated alternative treatments for Parkinson's disease tremors, this study tested whether replacing the traditional carbidopa component with lovastatin in a levodopa combination would improve symptom reduction in a Drosophila melanogaster model. The findings revealed that the lovastatin–levodopa combination was more optimal at reducing tremors than the standard treatment, pointing to a potentially superior therapeutic approach for future investigation.

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Machine Learning Algorithm Using Logistic Regression and an Artificial Neural Network (ANN) for Early Stage Detection of Parkinson’s Disease

Kar et al. | Oct 10, 2020

Machine Learning Algorithm Using Logistic Regression and an Artificial Neural Network (ANN) for Early Stage Detection of Parkinson’s Disease

Despite the prevalence of PD, diagnosing PD is expensive, requires specialized testing, and is often inaccurate. Moreover, diagnosis is often made late in the disease course when treatments are less effective. Using existing voice data from patients with PD and healthy controls, the authors created and trained two different algorithms: one using logistic regression and another employing an artificial neural network (ANN).

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Mendelian randomization reveals shared genetic landscape in autism spectrum disorder and Alzheimer's disease

Lee et al. | Nov 04, 2024

Mendelian randomization reveals shared genetic landscape in autism spectrum disorder and Alzheimer's disease

Autism Spectrum Disorder (ASD) and Alzheimer's Disease (AD) are distinct conditions, but research suggests a link, as individuals with ASD are 2.5 times more likely to develop AD. A study employing genome-wide association studies and Mendelian randomization revealed shared genetic factors, particularly in synaptic regulation pathways, that may increase the risk of AD in those with ASD. These findings provide insights into the genetic underpinnings connecting the two disorders.

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Quantifying natural recovery of dopamine deficits induced by chronic stress

Josyula et al. | Oct 27, 2025

Quantifying natural recovery of dopamine deficits induced by chronic stress
Image credit: Shawn Day

Here the authors investigated the natural recovery of stress-induced dopamine-related gene deficits in C. elegans by measuring the expression of cat-2 (dopamine biosynthesis) and sod-2 (oxidative stress) following exposure to starvation or hydrocortisone. They found that the reversibility of sod-2 and the expression of cat-2 were highly dependent on the type and severity of the stressor, suggesting that the body's natural ability to recover from dopamine dysfunction has biological limitations.

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