CELLULAR SENESCENCE AND CHRONOLOGICAL AGE IN VARIOUS HUMAN TISSUES: A SYSTEMATIC REVIEW AND META-ANALYSIS. (11th November 2018) - Waaijer, M
Abstract: Background: Cellular senescence, a stable growth arrest of cells, is increasingly recognized as a driver of the aging process and of age-related diseases. Our aim was to systemically summarize the literature on the association between senescence and chronological age in human tissue. Methods: We searched Pubmed, Web of Science and Embase for articles that reported on senescence markers dependent on age in any human tissue. Out of 4838 unique articles, 51 articles were included in a systematic review, and 45 of these were suitable for meta-analysis. Data was extracted on the origin of tissue, senescence markers, age and gender distribution of donors and correlation coefficients. The Z-scores, transformed from the correlation coefficients through Fisher's method, were pooled under a random effects model using Comprehensive Meta-Analysis Software. Heterogeneity was reported with the I-squared test. Results: Overall, the correlation coefficient between senescence and age was 0.276 (95% CI 0.225–0.325), with differences between tissue types. Highest mean correlation coefficients was found for brain (0.701), followed by lung (0.670). Mean correlation coefficient were lower for other tissues: artery (0.199), blood (0.290), eye (0.100), kidney (0.235), prostate (0.263) and skin (0.287). The I2 value was 67.7%. Conclusion: Senescence is significantly associated with chronological age in all human tissues. The effect size of association varies widely between tissues.