Melis Joost P M, Jonker Martijs J, Vijg Jan, Hoeijmakers Jan H J, Breit Timo M, van Steeg Harry
National Institute for Public Health and the Environment (RIVM), Center for Health Protection, Bilthoven, the Netherlands.
Aging (Albany NY). 2013 Oct;5(10):782-8. doi: 10.18632/aging.100606.
In the next decades the elderly population will increase dramatically, demanding appropriate solutions in health care and aging research focusing on healthy aging to prevent high burdens and costs in health care. For this, research targeting tissue-specific and individual aging is paramount to make the necessary progression in aging research. In a recently published study we have attempted to make a step interpreting aging data on chronological as well as pathological scale. For this, we sampled five major tissues at regular time intervals during the entire C57BL/6J murine lifespan from a controlled in vivo aging study, measured the whole transcriptome and incorporated temporal as well as physical health aspects into the analyses. In total, we used 18 different age-related pathological parameters and transcriptomic profiles of liver, kidney, spleen, lung and brain and created a database that can now be used for a broad systems biology approach. In our study, we focused on the dynamics of biological processes during chronological aging and the comparison between chronological and pathology-related aging.
在未来几十年中,老年人口将急剧增加,这就需要在医疗保健和衰老研究方面找到合适的解决方案,重点是健康老龄化,以防止医疗保健领域出现高负担和高成本。为此,针对组织特异性和个体衰老的研究对于衰老研究取得必要进展至关重要。在最近发表的一项研究中,我们试图在时间顺序和病理尺度上对衰老数据进行解读。为此,我们从一项受控的体内衰老研究中,在整个C57BL/6J小鼠寿命期间,以固定的时间间隔对五个主要组织进行采样,测量了整个转录组,并将时间以及身体健康方面纳入分析。我们总共使用了18种不同的与年龄相关的病理参数以及肝脏、肾脏、脾脏、肺和脑的转录组图谱,并创建了一个现在可用于广泛的系统生物学方法的数据库。在我们的研究中,我们关注的是按时间顺序衰老过程中生物过程的动态变化以及按时间顺序衰老与病理相关衰老之间的比较。