Abstract
Abstract Aging represents the most important risk factor for many chronic diseases including cardiovascular diseases, diabetes, and cancer, therefore understanding the mechanisms of aging is a fundamental step for designing new treatments for chronic diseases. DNA methylation is the most reliable and accurate molecular marker for aging quantification, however, genome-wide DNA methylation profiling techniques, such as reduced representative bisulfite sequencing and Illumina Bead Array that are widely used in aging research are prohibitively expensive and have poor data quality at low-read coverage sites. Here we report a robust targeted bisulfite sequencing approach, called SWARM® (Simplified Whole-panel Amplification Reaction Method), for the accurate biological age determination. SWARM™ is flexible and low cost, requires relatively low DNA starting material, allows the simultaneous amplification and sequencing of hundreds of loci, and has shown to increase sample throughput. Using the SWARM® approach, we were able to analyze the methylation level of several hundreds of age-associated loci including the published Horvath Clock sites. Gender-specific age-predictive models were built using the elastic net regression of DNA methylation levels of the loci and chronological age of urine DNA samples of over 300 healthy subjects of 18 to 88 years old. Urine samples from bladder cancer patients exhibit significant age acceleration, with an average of >10 years. In brief, our gender-specific urine DNAge® analysis is a tool for the precise biological aging quantification and can be used to address questions in aging and urinary track cancers. Citation Format: Yap Ching Chew, Wei Guo, Xiaojing Yang, Paolo Piatti, Mingda Jin, Keith Booher, Benjamin Jara, Xi-Yu Jia. Accelerated epigenetic aging in bladder cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 828.
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