ArticleAging2025
DoliClock: a lipid-based aging clock reveals accelerated aging in neurological disorders.
Article in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
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Who cites it
4 citing papers in PubMed.
- From Isoprene Units to Polyprenols and Dolichols: 70 Years of Polyisoprenoid Biosynthesis Research.Cell biochemistry and biophysics · 2026Review
- Lipidomic profiling reveals age-dependent changes in plasma membrane lipids that affect neural stem cell aging.Science advances · 2026Article
- Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The dissipation theory of aging: a quantitative analysis using a cellular aging map.npj aging · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is a multifaceted process influenced by intrinsic and extrinsic factors, with lipid alterations playing a critical role in brain aging and neurological disorders. This study introduces DoliClock, a lipid-based biological aging clock designed to predict the age of the prefrontal cortex using post-mortem lipidomic data. Significant age acceleration was observed in autism, schizophrenia, and Down syndrome. Additionally, an increase in entropy around age 40 suggests dysregulation of the mevalonate pathway and dolichol accumulation. Dolichol, a lipid integral to N-glycosylation and intracellular transport, emerged as a potential aging biomarker, with specific variants such as dolichol-19 and dolichol-20 showing unique age-related associations. These findings suggest that lipidomics can provide valuable insights into the molecular mechanisms of brain aging and neurological disorders. By linking dolichol levels and entropy changes to accelerated aging, this study highlights the potential of lipid-based biomarkers for understanding and predicting biological age, especially in conditions associated with premature aging.
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Registered trials
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