A new approach to the concept and computation of biological age
A new approach to the concept and computation of biological age
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DOI：
10.1016/j.mad.2005.10.004
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发表时间：
2006-03-01
影响因子：
5.3
通讯作者：
Doubal, S
中科院分区：
文献类型：
--
作者：
Klemera, P;Doubal, S
生物学年龄概念缺乏准确界定是生物学研究著作的一个典型特征。这就是为什么对各种已发表的方法的结果进行比较几乎没有意义，并且最终证明其最优性是不可能的。基于自然和简单的假设，试图用数学的方法来表达实足年龄（CA）和BA之间的关系，已经证明是出乎意料的富有成效。本文导出了一种即使在非线性情况下也易于应用的BA的最佳估计方法。此外，该方法允许评估估计的精度，也提供了验证该方法假设的工具。该方法的一个特点是，CA应被用作标准生物标志物，导致本质上提高BA-估计的精度和照亮已知的11个生物标志物悖论的相关性。该方法的所有理论结果都得到了专用模拟程序的充分验证。此外，理论和模拟的结果已经证明，许多已发表的结果BA估计使用多元线性回归（MLR）是非常有可能是无效的，因为CA通常是更精确的估计BA比MLR计算的估计。这一令人不快的结论也涉及到一些方法，这些方法使用MLR作为通过因子分析或主成分分析转化生物标志物电池后的最后一步。(c)2005爱思唯尔爱尔兰有限公司保留所有权利。
The lack of exact definition of the concept of biological age (BA) is a typical feature of works concerning BA. That is why comparison of results of various published methods makes little sense and eventual proof of their optimality is impossible. Based on natural and simple presumptions, an attempt to express mathematically the supposed relation between chronological age (CA) and BA has proven to be unexpectedly fruitful. In the present paper, an optimum method of estimation of BA, which is easily applicable even in nonlinear cases, is derived. Moreover, the method allows evaluating the precision of the estimates and also offers tools for validation of presumptions of the method. A special feature of the method is that CA should be used as a standard biomarker, leading to essential improving the precision of BA-estimate and illuminating relativity of the known 11 paradox of biomarkers". All theoretical results of the method were fully approved by means of a special simulation program. Further, the theory and the results of the simulation have proven that many published results of BA-estimates using multiple linear regression (MLR) are very probably disserviceable because CA is typically more precise estimate of BA than estimates computed by MLR. This unpleasant conclusion also concerns methods, which use MLR as the final step after transformation of the battery of biomarkers by factor analysis or by principal component analysis. (c) 2005 Elsevier Ireland Ltd. All rights reserved.