Mathur Aanchal, Taurin Sebastien, Alshammary Sfoug
Department of Molecular Medicine, Princess Al Jawhara Center, College of Medicine and Health Sciences, Arabian Gulf University, Manama, Bahrain.
Front Aging. 2024 Dec 16;5:1395649. doi: 10.3389/fragi.2024.1395649. eCollection 2024.
Biological age is a concept that reflects the physiological state of an individual rather than the chronological time since birth. It can help assess the risk of age-related diseases and mortality and the effects of interventions to slow down or reverse aging. However, there is no consensus on measuring biological age best, and different methods may yield different results. In this paper, which includes 140 relevant pieces of literature, out of 33,000, we review some new methods to measure biological age based on recent advances in biotechnology and data science. We discussed some novel biomarkers and algorithms that can capture the dynamic and multidimensional aspects of aging at different levels. We evaluate their performance and validity using various datasets and criteria and compare them with existing methods. We also discuss their potential applications and implications for aging research and clinical practice. We conclude that the new methods offer more accurate and reliable estimates of biological age and open new avenues for understanding and modulating the aging process.
生物学年龄是一个反映个体生理状态而非自出生以来的实际时间的概念。它有助于评估与年龄相关的疾病和死亡风险以及减缓或逆转衰老的干预措施的效果。然而，对于如何最好地测量生物学年龄尚无共识，不同的方法可能会产生不同的结果。在本文中，我们从33000篇文献中选取了140篇相关文献，基于生物技术和数据科学的最新进展，综述了一些测量生物学年龄的新方法。我们讨论了一些能够在不同层面捕捉衰老动态和多维度特征的新型生物标志物和算法。我们使用各种数据集和标准评估它们的性能和有效性，并将它们与现有方法进行比较。我们还讨论了它们在衰老研究和临床实践中的潜在应用及意义。我们得出结论，新方法能够提供更准确可靠的生物学年龄估计，并为理解和调控衰老过程开辟了新途径。
