ReviewCell death & disease2026
Histone modification dynamics in brain aging: unlocking therapeutic potential.
Review in Cell death & disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
8 authors.
Funding
Abstract
During aging, the progressive decline in neuronal function contributes to cognitive impairment and predisposes individuals to neurodegenerative disorders. This phenomenon has become increasingly prominent in modern society. Recent studies have found that post-translational modifications (PTMs) of proteins play a crucial role in the aging process, influencing the physiological functions and pathological changes in brain cells. This article reviews the variety and complexity of PTMs across brain cell types during aging, analyzes changes in specific modification types and sites, and reveals their impacts on neurophysiological and pathological states. This review also examines the current state of translational research, noting that most of the drugs under investigation lack specificity, and their potential toxic side effects remain undetermined. In light of these concerns, this review proposes therapeutic strategies to guide innovative interventions for aging-related diseases, aiming to facilitate further research and clinical applications in this field.
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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 OpenQuestion graph.