ArticleFrontiers in aging2022
LipidClock: A Lipid-Based Predictor of Biological Age.
Article in Frontiers in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
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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Who cites it
12 citing papers in PubMed.
- Predicting and finding geroprotective compounds through modulating conserved longevity-associated aging modules.Science advances · 2026Article
- Lipidomic profiling reveals age-dependent changes in plasma membrane lipids that affect neural stem cell aging.Science advances · 2026Article
- Foundations of Gerophysics.Aging · 2026Article
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- A sex-adjusted 7-biomarker clinical aging clock for translational preventative medicine.Scientific reports · 2025Article
- LIPL-1 and LIPL-2 are TCER-1-regulated lysosomal lipases with distinct roles in immunity and fertility.PLoS genetics · 2025Article
- Multiomic clocks to predict phenotypic age in mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- DoliClock: a lipid-based aging clock reveals accelerated aging in neurological disorders.Aging · 2025Article
- Review
- Principal component-based clinical aging clocks identify signatures of healthy aging and targets for clinical intervention.Nature aging · 2024Article
- Towards Healthy Longevity: Comprehensive Insights from Molecular Targets and Biomarkers to Biological Clocks.International journal of molecular sciences · 2024Review
- Unraveling lipid and inflammation interplay in cancer, aging and infection for novel theranostic approaches.Frontiers in immunology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complexity is a fundamental feature of biological systems. Omics techniques like lipidomics can simultaneously quantify many thousands of molecules, thereby directly capturing the underlying biological complexity. However, this approach transfers the original biological complexity to the resulting datasets, posing challenges in data reduction and analysis. Aging is a prime example of a process that exhibits complex behaviour across multiple scales of biological organisation. The aging process is characterised by slow, cumulative and detrimental changes that are driven by intrinsic biological stochasticity and mediated through non-linear interactions and feedback within and between these levels of organization (ranging from metabolites, macromolecules, organelles and cells to tissue and organs). Only collectively and over long timeframes do these changes manifest as the exponential increases in morbidity and mortality that define biological aging, making aging a problem more difficult to study than the aetiologies of specific diseases. But aging's time dependence can also be exploited to extract key insights into its underlying biology. Here we explore this idea by using data on changes in lipid composition across the lifespan of an organism to construct and test a LipidClock to predict biological age in the nematode
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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.