Accelerated epigenetic aging and inflammatory/immunological profile (ipAGE) in patients with chronic kidney disease
| Autor: | Mikhail Ivanchenko, Claudio Franceschi, Alena I. Kalyakulina, I. I. Yusipov, Maria Vedunova, Elena Kondakova, Maria Giulia Bacalini, Mikhail Krivonosov, Nadezhda Lobanova |
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| Rok vydání: | 2021 |
| Předmět: |
Epigenomics
Aging business.industry Renal function Disease urologic and male genital diseases medicine.disease Phenotype Epigenesis Genetic DNA methylation Immunology medicine Humans Kidney Failure Chronic Original Article In patient Epigenetics Geriatrics and Gerontology Renal Insufficiency Chronic business Kidney disease Whole blood |
| Zdroj: | GeroScience |
| DOI: | 10.1101/2021.07.23.453588 |
| Popis: | Chronic kidney disease (CKD) is defined by a reduced estimated glomerular filtration rate (eGFR). This failure can be related to a phenotype of accelerated aging. In this work, we considered 76 patients with end-stage renal disease (ESRD) and 83 healthy controls. We concomitantly evaluated for the first time two measures that can be informative of the rate of aging, i.e., whole blood DNA methylation using the Illumina Infinium EPIC array and plasma levels of a selection of inflammatory/immunological proteins using multiplex immunoassays. First of all, we demonstrated accelerated aging in terms of the most common epigenetic age estimators in CKD patients. Moreover, we developed a new clock/predictor of age based on the inflammatory/immunological profile (ipAGE) and identified the inflammatory/immunological biomarkers differentially expressed between cases and controls. IpAGE appeared to be more sensitive than epigenetic clocks in quantifying the accelerated aging phenotype of ESRD patients. Interestingly, we did not find any correlation between the age acceleration evaluated according to the epigenetic clocks and ipAGE in either the ESRD group or the control group. On the whole, our data show a consistent accelerated aging phenotype in ESRD patients, which is better appreciated by quantifying the underlying inflammatory processes (inflammaging) by ipAGE than by using epigenetic clocks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-022-00540-4. |
| Databáze: | OpenAIRE |
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