Epigenetic age oscillates during the day
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ABSTRACT:
PROVIDER: PRJNA1036603 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Epigenetic age oscillates during the day (Neu 54 yr old)
| PRJNA1036611 | ENA
Project description:Epigenetic age oscillates during the day (Neu 30 yr old)
| PRJNA1036614 | ENA
Project description:Epigenetic age oscillates during the day (WBC-Neu 52 yr old)
| PRJNA1036613 | ENA
Project description:Since their introduction, epigenetic clocks have been extensively used in aging and human disease research. In this study, we reveal an intriguing pattern: epigenetic age predictions display a 24-hour periodicity. These paradoxical age oscillations can be attributed to variations in blood cell type composition and epigenomes, both of which demonstrate circadian rhythmicity. This discovery emphasizes the significance of factoring-in the time of day to obtain accurate estimates of epigenetic age.
2024-04-19 | GSE247195 | GEO
Project description:Since their introduction, epigenetic clocks have been extensively used in aging and human disease research. In this study, we reveal an intriguing pattern: epigenetic age predictions display a 24-hour periodicity. These paradoxical age oscillations can be attributed to variations in blood cell type composition and epigenomes, both of which demonstrate circadian rhythmicity. This discovery emphasizes the significance of factoring-in the time of day to obtain accurate estimates of epigenetic age.
2024-04-19 | GSE247193 | GEO
Project description:Since their introduction, epigenetic clocks have been extensively used in aging and human disease research. In this study, we reveal an intriguing pattern: epigenetic age predictions display a 24-hour periodicity. These paradoxical age oscillations can be attributed to variations in blood cell type composition and epigenomes, both of which demonstrate circadian rhythmicity. This discovery emphasizes the significance of factoring-in the time of day to obtain accurate estimates of epigenetic age.
2024-04-19 | GSE247197 | GEO
Project description:Since their introduction, epigenetic clocks have been extensively used in aging, human disease, and rejuvenation studies. In this article, we report an intriguing pattern: epigenetic age predictions display a 24-h periodicity. We tested a circadian blood sample collection using 17 epigenetic clocks addressing different aspects of aging. Thirteen clocks exhibited significant oscillations with the youngest and oldest age estimates around midnight and noon, respectively. In addition, daily oscillations were consistent with the changes of epigenetic age across different times of day observed in an independant populational dataset. While these oscillations can in part be attributed to variations in white blood cell type composition, cell count correction methods might not fully resolve the issue. Furthermore, some epigenetic clocks exhibited 24-h periodicity even in the purified fraction of neutrophils pointing at plausible contributions of intracellular epigenomic oscillations. Evidence for circadian variation in epigenetic clocks emphasizes the importance of the time-of-day for obtaining accurate estimates of epigenetic age.
| S-EPMC11258449 | biostudies-literature
Project description:Heart disease is the leading cause of mortality in developed countries. Although conventional treatments exist, novel regenerative procedures are warranted for improving patients well fare. The use of direct cardiac conversion (DCC) of fibroblasts by the expression of the cardiogenic factors Mef2c, Gata4, and Tbx5 (MGT) can create induced cardiomyocytes (iCMs). Besides holding great promise, DCC lacks clinical effectiveness especially in adult cells, and the impact of metabolic and age-associated epigenetic barriers remains elusive. Here we demonstrate by histone PTMs analysis that DCC triggers major alterations in the epigenetic landscape, which differ with age. Moreover, we show that metabolic modulation in vitro and dietary manipulations in vivo that improves DCC efficiency are accompanied by significant alterations in the histone acetylation and methylation landscape
2025-01-15 | PXD046542 | Pride
Project description:New Targeted Approaches for Epigenetic Age Predictions
| PRJNA636753 | ENA
Project description:Cannabis use has been controversial, largely having been designated a controlled substance over the last century. The link between cannabis smoking and disease pathogenesis may best be explored through DNA methylation, an epigentic mechanism. We investigated the relationship between epigenetic age and cannabis smoking in participants within the Canadian Cohort of Obstructive Lung Disease (CanCOLD) cohort (n=93) (ClinicalTrials.gov identifier NCT00920348). Blood samples were profiled for DNA methylation using the Illumina MethylationEPIC BeadChipv1 at two separate laboratories and the blood epigenetic age of each sample was calculated using the Clock Foundation tool (https://dnamage.clockfoundation.org). An ANOVA was used to identify differences in the age acceleration residuals associated with cannabis smoking status (never, former, and current), adjusted for chronological age, sex, body mass index (BMI), batch, cigarette smoking status, and the first two principal components of blood cell proportions. Our observations indicated that current cannabis smoking and higher joint-years exposure are associated with epigenetic age acceleration; cessation, however, may help to normalize in part this age acceleration.
2024-07-01 | GSE255929 | GEO