Pharmacological Modulators of Small GTPases of Rho Family in Neurodegenerative Diseases
Open accessAbstract
Classical Rho GTPases, including RhoA, Rac1, and Cdc42, are members of the Ras small GTPase superfamily and play essential roles in a variety of cellular functions. Rho GTPase signaling can be turned on and off by specific GEFs and GAPs, respectively. These features empower Rho GTPases and their upstream and downstream modulators as targets for scientific research and therapeutic intervention. Specifically, significant therapeutic potential exists for targeting Rho GTPases in neurodegenerative diseases due to their widespread cellular activity and alterations in neural tissues. This study will explore the roles of Rho GTPases in neurodegenerative diseases with focus on the applications of pharmacological modulators in recent discoveries. There have been exciting developments of small molecules, nonsteroidal anti-inflammatory drugs (NSAIDs), and natural products and toxins for each classical Rho GTPase category. A brief overview of each category followed by examples in their applications will be provided. The literature on their roles in various diseases [e.g., Alzheimer’s disease (AD), Parkinson’s disease (PD), Amyotrophic lateral sclerosis (ALS), Frontotemporal dementia (FTD), and Multiple sclerosis (MS)] highlights the unique and broad implications targeting Rho GTPases for potential therapeutic intervention. Clearly, there is increasing knowledge of therapeutic promise from the discovery of pharmacological modulators of Rho GTPases for managing and treating these conditions. The progress is also accompanied by the recognition of complex Rho GTPase modulation where targeting its signaling can improve some aspects of pathogenesis while exacerbating others in the same disease model. Future directions should emphasize the importance of elucidating how different Rho GTPases work in concert and how they produce such widespread yet different cellular responses during neurodegenerative disease progression.
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RhoA and many of its downstream effector proteins are highly expressed in the nervous system, implying an important role for RhoA signaling in neurons and glial cells.
“RhoA and many of its downstream effector proteins are highly expressed in the nervous system, implying an important role for RhoA signaling in neurons and glial cells.”
From RhoA Signaling in Neurodegenerative Diseases (2022) · cites this paper as [117]
The Introduction’s “Rho GTPase Subfamily” section describes RhoA’s effects on neuronal processes and reports that loss of RhoA in microglia led to synapse loss in mice. The “Small Molecules” section says the RhoA effector ROCK2 is mainly expressed in the brain and spinal cord. Neither passage establishes that RhoA and many of its downstream effectors are highly expressed throughout the nervous system; no page numbers are available in our copy. (LLM, conf=0.86)
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RhoA Signaling in Neurodegenerative Diseases
Schmidt, S. I., Blaabjerg, M., Freude, K., & Meyer, M. (2022) · Cells · doi:10.3390/cells11091520 · Cited by 110 · see citing works
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- Guiler, W., Koehler, A., Boykin, C., & Lu, Q.
- Affiliations
- East Carolina University (US)
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- Lu, Qun
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- Frontiers in Cellular Neuroscience
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- 2021-05-12
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- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- Rho GTPases, RhoA, Rac1, Cdc42, small molecule modulators, GEF, GaP, neurodegenerative diseases, Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, frontotemporal dementia, multiple sclerosis, nonsteroidal anti-inflammatory drugs, natural products, toxins, therapeutic target
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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