Correlation of physiological and biological traits in mammalian aging and longevity

• Main Author: Chanda, SachinKumar Veersain
• Other Authors: Shu Jian Jun
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Mechanical engineering
• Online Access: https://hdl.handle.net/10356/166808
• Institution: Nanyang Technological University

This study aimed to understand the correlation of physiological and biological traits in mammalian aging and longevity by investigating the relationships between heartbeat per lifetime, telomere length, genome size, and p53/TP53 copy numbers in mammals. The data on the aforementioned factors were collected and analyzed. Regression techniques, including OLS multiple regression and the random forest model, were used to explore the underlying relationships. The multiple OLS regression model showed that the ‘Genome Size’ had the strongest association with the dependent variable, suggesting that it may be an important determinant of ‘TP53 copy number’. The random forest regression model confirmed these findings, producing a model with a high R-squared value of ‘0.85331’ and ‘Genome Size’ feature importance value of ‘0.47828’. Overall, these findings suggest that ‘Genome size’ and the other independent variables through their relationship to ‘TP53 copy number’ indirectly affect age-related diseases such as cancer, healthy aging, and extended lifespan in general. Furthermore, the study underscores the need for further research in the field of gerontology utilizing statistical regression techniques to uncover the underlying mechanisms that impact these outcomes.