Methods to quantify biological aging are emerging as new measurement tools for epidemiology and population science and have been proposed as surrogate measures for healthy lifespan extension in geroscience clinical trials. Publicly available software packages to compute biological aging measurements from DNA methylation data have accelerated dissemination of these measures and generated rapid gains in knowledge about how different measures perform in a range of datasets. Biological age measures derived from blood chemistry data were introduced at the same time as the DNA methylation measures and, in multiple studies, demonstrate superior performance to these measures in prediction of healthy lifespan. However, their dissemination has been slow by comparison, resulting in a significant gap in knowledge. We developed a software package to help address this knowledge gap. The BioAge R package, available for download at GitHub (http://github.com/dayoonkwon/BioAge), implements three published methods to quantify biological aging based on analysis of chronological age and mortality risk: Klemera-Doubal biological age, PhenoAge, and homeostatic dysregulation. The package allows users to parametrize measurement algorithms using custom sets of biomarkers, to compare the resulting measurements to published versions of the Klemera-Doubal method and PhenoAge algorithms, and to score the measurements in new datasets. We applied BioAge to safety lab data from the CALERIE™ randomized controlled trial, the first-ever human trial of long-term calorie restriction in healthy, non-obese adults, to test effects of intervention on biological aging. Results contribute evidence that CALERIE intervention slowed biological aging. BioAge is a toolkit to facilitate measurement of biological age for geroscience.

量化生物衰老的方法正在成为流行病学和人口科学的新测量工具，并已被提议作为老年科学临床试验中健康寿命延长的替代措施。用于从 DNA 甲基化数据计算生物老化测量的公开可用软件包加速了这些测量的传播，并迅速获得了关于不同测量如何在一系列数据集中执行的知识。来自血液化学数据的生物年龄测量与 DNA 甲基化测量同时被引入，并且在多项研究中，在预测健康寿命方面表现出优于这些测量的性能。然而，相比之下，它们的传播速度较慢，导致知识差距很大。我们开发了一个软件包来帮助解决这一知识差距。BioAge R 软件包可在 GitHub (http://github.com/dayoonkwon/BioAge) 下载，它实现了三种基于实足年龄和死亡风险分析量化生物衰老的方法：Klemera-Doubal 生物年龄、PhenoAge、和稳态失调。该软件包允许用户使用自定义的生物标记集对测量算法进行参数化，将得到的测量结果与 Klemera-Doubal 方法和 PhenoAge 算法的已发布版本进行比较，并在新数据集中对测量结果进行评分。我们将 BioAge 应用于 CALERIE™ 随机对照试验的安全实验室数据，这是有史以来第一个在健康、非肥胖成人中进行长期卡路里限制的人体试验，以测试干预对生物衰老的影响。结果提供证据表明 CALERIE 干预减缓了生物衰老。BioAge 是一个工具包，用于促进老年科学的生物年龄测量。