Abstract

BackgroundExposure to fine particulate matter (PM2.5) is a prominent risk factor for cardiovascular aging in older adults and causes mild syndromes or other comorbidities in otherwise healthy older adults. Accordingly, a precise tool for PM2.5 exposure risk stratification is urgently needed. We aimed to address this need by comparing the performances of seven types of epigenetic age and chronological age to classify the effects of short-term PM2.5 exposure on blood pressure (BP), a typical clinical surrogate marker of cardiovascular aging. MethodsWe conducted a panel study of the Chinese healthy adults aged 60–69 years through five monthly visits. Personal PM2.5 exposures were measured using wearable monitoring devices for three consecutive days, and DNA methylation was determined by the Illumina MethylationEPIC BeadChip using blood samples collected at each visit. Systolic BP, diastolic BP, mean arterial pressure and pulse pressure were measured by the electronic BP monitor. Linear mixed models with interaction terms between PM2.5 and different ages were used to assess their potential usefulness for stratification. ResultsDNAmPhenoAge, Skin & blood clock, DNAmGrimAge acceleration, and DunedinPoAm had significant modifying effects on the relationship between PM2.5 and BP. For instance, a 10-μg/m3 increase in the 72-h moving mean PM2.5 was significantly associated with 0.30% (95% CI: 0.10%, 0.51%) and −0.07% (95% CI: -0.32%, 0.18%) increases in systolic BP at higher and lower DNAmPhenoAge acceleration, respectively. Joint models further revealed that using a combination of epigenetic ages could more precisely stratify the effect of PM2.5 on BP. ConclusionsOur research indicates that epigenetic age may be a useful tool for evaluating the effect of short-term PM2.5 exposure on cardiovascular aging status.

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