ReviewMolecular biology reports2026
The role of protein prenylation in kidney diseases: Molecular basis and therapeutic implications.
Review in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
Kidney diseases may lead to a life-threatening condition, with their global prevalence increasing day by day. The progressive nature of kidney diseases is driven by a complex interplay of cellular and molecular events, among which protein prenylation plays a pivotal role. Protein prenylation, a lipid-mediated post-translational modification, is essential for the functional regulation of small guanosine triphosphatase binding proteins, including Ras, Rac, Rab, and Rho, which govern cell signaling, proliferation, and membrane dynamics. Aberrant prenylation disrupts these signaling cascades, contributing to podocyte injury, mitochondrial dysfunction, oxidative stress, and renal fibrosis, among others. This review provides an integrated overview of recent advancements in protein prenylation, the effects of these modifications on renal physiology, emerging insights into how altered prenylation drives kidney disease progression and identifies therapeutic strategies targeting this modification. Moreover, we emphasized the potential pharmacological interventions, including bisphosphonates, statins, and others, providing multitargeted therapeutic benefits in various forms of kidney diseases. This review underscores the translational potential of modulating protein prenylation as a novel therapeutic strategy for the management of kidney diseases and for improving clinical outcomes.
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42068447What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.