ArticleCell2026
Establishing the relationship between brain cellular senescence and brain structure.
Article in Cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Protocol for classifying cellular senescence from single-cell and single-nucleus RNA sequencing data.STAR protocols · 2026Article
- SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types.Molecular cell · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors.
Funding
Abstract
Cellular senescence and brain atrophy are both associated with brain aging, suggesting these processes may share underlying biological mechanisms. This study investigated these mechanisms by integrating structural neuroimaging with gene and protein expression data from prefrontal cortex tissue collected from individuals who underwent neurosurgery. Cell-type-specific gene expression signatures associated with neuroimaging features and cellular senescence were identified and replicated in several independent datasets. Significant correlations between these signatures were observed in excitatory neurons and microglia, especially for volume-related features. These associations were also observed for excitatory neurons in an independent brain gene expression dataset from individuals below 5 years of age, implying a role for senescence during brain development. Together, this study provides a deep characterization of molecular signatures linking brain structure and cellular senescence across different life stages and suggests mechanisms supporting brain development may also contribute to volume reduction observed during aging.
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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.