Physiological roles of phosphoinositides and inositol phosphates: Implications for metabolic dysfunction-associated steatotic liver disease is a research paper published in Clinical Science (2025). On theSindex it has a DataRank of 0.292. It has been cited 6 times, with 6 citing works in its 1-hop citation network.
Phosphoinositides and inositol phosphates (IPs) are integral to numerous cellular processes, including membrane trafficking, signal transduction and calcium dynamics. These lipid-derived signalling mediators orchestrate the spatial and temporal regulation of many signalling cascades, largely through interactions with specific effector proteins. Recent studies have highlighted their critical roles in metabolic homeostasis and the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD). In this review, we examine the pathways important for phosphoinositide and IP synthesis, and the physiological functions of myo-inositol, d-chiro-inositol and phosphatidylinositol, as well as their phosphorylated inositol counterparts, including phosphoinositides (PI(3)P, PI(4)P, PI(3,4)P2, PI(3,5)P2, PI(4,5)P2, PI(3,4,5)P3) and IPs (inositol 1,4,5-trisphosphate (IP3), inositol 1,3,4,5-tetrakisphosphate (IP4), inositol pentakisphosphate (IP5), inositol hexaphosphate (IP6 or phytic acid) and inositol pyrophosphates (IP7 and IP8)), with an emphasis on their emerging significance in hepatic metabolism. We explore how perturbations in IP metabolism contribute to the development and progression of MASLD, liver inflammation, fibrosis and hepatic insulin resistance. We further highlight recent studies utilizing genetic models and pharmacological interventions that underscore the therapeutic potential of targeting inositol metabolism in MASLD. This review synthesizes current knowledge to provide a comprehensive understanding of how phosphoinositides and IPs integrate metabolic cues and contribute to hepatic pathophysiology, identifying knowledge gaps and offering novel insights for therapeutic innovation in the management of MASLD.
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Base Score Contribution
0.292
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.