Top Highlights

• Only collectively and over long timeframes do these changes manifest as the exponential increases in morbidity and mortality that define biological aging
• 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 Caenorhabdits elegans
• Gompertz aging rates predicted by the LipidClock can be used to simulate survival curves that are in agreement with those from lifespan experiments
• approach successfully infers biological age of the two long-lived mutant strains
• LipidClocks could be developed for other organisms, including other invertebrate models, mammals or (based e.g., on blood lipids) humans

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