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American journal of aging science and research最新文献

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Implementation study of a Web-App, which facilitates dementia screening for general and multicultural population in primary care settings 网络应用程序的实施研究，该应用程序促进了初级保健机构中一般人群和多元文化人群的痴呆症筛查
American journal of aging science and research
Pub Date : 2023-01-01 DOI: 10.46439/aging.3.013
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引用次数: 0
Modelling a web app to facilitate Family Doctors and General Practitioners screen dementia in general and multicultural population 为一个网络应用程序建模，以方便家庭医生和全科医生筛查一般人群和多元文化人群中的痴呆症
American journal of aging science and research
Pub Date : 2022-12-31 DOI: 10.46439/aging.3.012
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引用次数: 0
A commentary regarding the link between two of today’s biggest global challenges: a rapidly ageing population and energy consumption 一篇关于当今两个最大的全球挑战:人口迅速老龄化和能源消耗之间联系的评论
American journal of aging science and research
Pub Date : 2022-12-31 DOI: 10.46439/aging.3.015
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引用次数: 0
Population ageing and intergenerational conflicts in direct democracy: Separating age from cohort effects 直接民主中的人口老龄化和代际冲突:从群体效应中分离年龄
American journal of aging science and research
Pub Date : 2022-12-31 DOI: 10.46439/aging.3.014
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引用次数: 0
The fight against loneliness in old age: A summary of articles and studies – An integrative national plan 与老年孤独作斗争:文章和研究综述-一个综合的国家计划
American journal of aging science and research
Pub Date : 2022-12-31 DOI: 10.46439/aging.3.016
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引用次数: 0
Age-associated hepatic steatosis and liver proliferation in NAFLD NAFLD的年龄相关性肝脂肪变性和肝增生
American journal of aging science and research
Pub Date : 2021-12-31 DOI: 10.46439/aging.2.006
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引用次数: 0
Transcription factor motif activity as a biomarker of muscle aging 转录因子基序活性作为肌肉衰老的生物标志物
American journal of aging science and research
Pub Date : 2021-12-31 DOI: 10.46439/aging.2.010
Anastasiya Börsch, M. Zavolan
In prior work, we analyzed gene expression profiles of mouse, rat and human gastrocnemius muscles to identify conserved regulators of muscle aging processes. By further comparing data obtained from different muscles we found stronger conservation of aging-related factors at the level of molecular pathways than at the level of individual genes. Here we compared the predictive power of models based on gene expression levels and those based on transcription factor motif activities for an individual’s age. Although somewhat less accurate than models based on gene expression, models based on motif activities achieve good prediction of muscle age, further providing insights into aging-related molecular pathways.
在之前的工作中，我们分析了小鼠、大鼠和人类腓肠肌的基因表达谱，以确定肌肉衰老过程的保守调节因子。通过进一步比较从不同肌肉中获得的数据，我们发现与衰老相关的因素在分子途径水平上比在个体基因水平上的保存更强。在这里，我们比较了基于基因表达水平的模型和基于转录因子基序活性的模型对个体年龄的预测能力。尽管与基于基因表达的模型相比，基于基序活性的模型的准确性略低，但基于基序活性的模型可以很好地预测肌肉年龄，从而进一步深入了解与衰老相关的分子途径。
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引用次数: 1
COVID 19 in Nursing homes 疗养院中的COVID - 19
American journal of aging science and research
Pub Date : 2021-12-31 DOI: 10.46439/aging.2.007
G. Peters
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引用次数: 0
The ambiguous effects of population aging on macroeconomic stability: A cross-country analysis 人口老龄化对宏观经济稳定性的模糊影响:一项跨国分析
American journal of aging science and research
Pub Date : 2021-12-31 DOI: 10.46439/aging.2.009
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引用次数: 0
Transcription factor motif activity as a biomarker of muscle aging. 转录因子基序活性作为肌肉衰老的生物标志物。
American journal of aging science and research
Pub Date : 2021-01-01
Anastasiya Börsch, Mihaela Zavolan

In prior work, we analyzed gene expression profiles of mouse, rat and human gastrocnemius muscles to identify conserved regulators of muscle aging processes. By further comparing data obtained from different muscles we found stronger conservation of aging-related factors at the level of molecular pathways than at the level of individual genes. Here we compared the predictive power of models based on gene expression levels and those based on transcription factor motif activities for an individual's age. Although somewhat less accurate than models based on gene expression, models based on motif activities achieve good prediction of muscle age, further providing insights into aging-related molecular pathways.

在之前的工作中，我们分析了小鼠、大鼠和人类腓肠肌的基因表达谱，以确定肌肉衰老过程的保守调节因子。通过进一步比较从不同肌肉中获得的数据，我们发现与衰老相关的因素在分子途径水平上比在个体基因水平上的保存更强。在这里，我们比较了基于基因表达水平的模型和基于转录因子基序活性的模型对个体年龄的预测能力。尽管与基于基因表达的模型相比，基于基序活性的模型的准确性略低，但基于基序活性的模型可以很好地预测肌肉年龄，从而进一步深入了解与衰老相关的分子途径。
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引用次数: 0
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