Assessing Gastrointestinal Motility in Caenorhabditis elegans RAC1/CED-10 Mutants as a Tool to Study Early Parkinson's Disease
Year: 2025
Type: article
Abstract: Parkinson's disease (PD) is among the most prevalent neurodegenerative disorders and is diagnosed based on motor symptoms that emerge after significant dopaminergic neuron loss. Non-motor symptoms, such as constipation, are the most common and often appear earlier, indicating the onset of the disease. Many animal models are used to study neurodegenerative diseases, yet most focus on the later stages. Because it is difficult to determine the exact start of neurodegeneration, no single model fully represents the entire disease progression. Mammalian models are especially time-consuming and expensive due to their long-life cycles. In contrast, Caenorhabditis elegans (C. elegans), a transparent 1 mm nematode with a short life and reproductive cycle (~3 weeks and 3 days), enables faster, cost-effective experiments thanks to its rapid generation turnover. The defecation motor program in C. elegans consists of rhythmic cycles regulated by a complex genetic network in which Rho/rac GTPases participate, and RAC1 (CED-10 in C. elegans) is among them. We have shown that RAC1/CED-10 mutants exhibit compromised GABAergic morphology and function, which results in disrupted defecation cycles. Here, we present the experimental protocol for measuring constipation in RAC1/CED-10 C. elegans at early stages. In addition to serving as a predictive tool to investigate early PD symptoms prior to neurodegeneration, this protocol could also be employed as an early endpoint to assess the efficacy of pharmacological intervention. Because these changes are not disease-specific, we believe this model provides a valuable tool for investigating alterations that arise early in other illnesses.
DOI: 10.3791/69278
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1329930103, G2262748287, G234454427, G2986824255, G3005324705, G3320050967, G3480869486, G3681454997, Next Generation Integrated Sensing and Analytical System for Monitoring and Assessing Radiofrequency Electromagnetic Field Exposure and Health, G4042783231, G425668148, G586857820, G5976643093, G7703859073, G7704543894, G7967443488, G8294824355
OpenAlex ID: W4416806754
FWCI:
Cites:
Cited by:
Related to:
