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DNA methylation predicts age and provides insight into exceptional longevity of bats.

ABSTRACT: Exceptionally long-lived species, including many bats, rarely show overt signs of aging, making it difficult to determine why species differ in lifespan. Here, we use DNA methylation (DNAm) profiles from 712 known-age bats, representing 26 species, to identify epigenetic changes associated with age and longevity. We demonstrate that DNAm accurately predicts chronological age. Across species, longevity is negatively associated with the rate of DNAm change at age-associated sites. Furthermore, analysis of several bat genomes reveals that hypermethylated age- and longevity-associated sites are disproportionately located in promoter regions of key transcription factors (TF) and enriched for histone and chromatin features associated with transcriptional regulation. Predicted TF binding site motifs and enrichment analyses indicate that age-related methylation change is influenced by developmental processes, while longevity-related DNAm change is associated with innate immunity or tumorigenesis genes, suggesting that bat longevity results from augmented immune response and cancer suppression.

SUBMITTER: Wilkinson GS

PROVIDER: S-EPMC7955057 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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DNA methylation predicts age and provides insight into exceptional longevity of bats.

Wilkinson Gerald S GS Adams Danielle M DM Haghani Amin A Lu Ake T AT Zoller Joseph J Breeze Charles E CE Arnold Bryan D BD Ball Hope C HC Carter Gerald G GG Cooper Lisa Noelle LN Dechmann Dina K N DKN Devanna Paolo P Fasel Nicolas J NJ Galazyuk Alexander V AV Günther Linus L Hurme Edward E Jones Gareth G Knörnschild Mirjam M Lattenkamp Ella Z EZ Li Caesar Z CZ Mayer Frieder F Reinhardt Josephine A JA Medellin Rodrigo A RA Nagy Martina M Pope Brian B Power Megan L ML Ransome Roger D RD Teeling Emma C EC Vernes Sonja C SC Zamora-Mejías Daniel D Zhang Joshua J Faure Paul A PA Greville Lucas J LJ Herrera M L Gerardo LG Flores-Martínez José J JJ Horvath Steve S

Nature communications 20210312 1

Exceptionally long-lived species, including many bats, rarely show overt signs of aging, making it difficult to determine why species differ in lifespan. Here, we use DNA methylation (DNAm) profiles from 712 known-age bats, representing 26 species, to identify epigenetic changes associated with age and longevity. We demonstrate that DNAm accurately predicts chronological age. Across species, longevity is negatively associated with the rate of DNAm change at age-associated sites. Furthermore, ana ...[more]

PMID: 33712580

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Project description:BACKGROUND:DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. METHODS:We retrieved information of 1076 breast cancer patients from Genomic Data Commons (GDC) data portal on March 30, 2017, including breast cancer DNAm profiling, demographic features, clinicopathological parameters, recurrence, and all-cause fatality. Horvath's method was applied to calculate the DNAm age. Cox proportional hazards regression models were used to test the associations between DNAm age of the cancerous tissues and the prognosis (recurrence of breast cancer and all-cause fatality) with or without adjusting for chronological age and clinicopathological parameters. RESULTS:The DNAm age was markedly decelerated in the patients who were premenopausal, ER or PR negative, HER2-enriched or basal-like than their counterparts. In the first five-year follow-up dataset for survival, every ten-year increase in DNAm age was associated with a 15% decrease in fatality; subjects with DNAm age in the second (HR: 0.52; 95%CI: 0.29-0.92), the third (HR: 0.49; 95%CI: 0.27-0.87) and the fourth quartile (HR: 0.38; 95%CI: 0.20-0.72) had significant longer survival time than those in the first quartile. In the first five-year follow-up dataset for recurrence, every ten-year increase in DNAm age was associated with a 14% decrease of the recurrence; in the categorical analysis, a clear dose-response was shown (P for trend =0.02) and the fourth quartile was associated with a longer recurrence free survival (HR: 0.32; 95%CI: 0.14-0.74). In the full follow-up dataset, similar results were obtained. CONCLUSIONS:DNAm age of breast cancer tissue, which associated with menopausal status and pathological features, was a strong independent predictor of the prognosis. It was suggested that the prognosis of breast cancer was related to intrinsic biological changes and specific molecular targets for treatment of breast cancer may be implicit.

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DNA methylation predicts age and provides insight into exceptional longevity of bats.

Publications

DNA methylation predicts age and provides insight into exceptional longevity of bats.

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