A longitudinal analysis of the impact of the COVID-19 pandemic on the mental health of middle-aged and older adults from the Canadian Longitudinal Study on Aging [0.03%]
一项纵向分析：加拿大的老龄化纵向研究中新冠肺炎疫情对中老年人心理健康的影响
Parminder Raina,Christina Wolfson,Lauren Griffith et al.
Parminder Raina et al.
The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented challenge to public health, with over 233 million confirmed cases and over 4.6 million deaths globally as of September 20211. Although many studies have reported wor...
Leinani E Hession,Gautam S Sabnis,Gary A Churchill et al.
Leinani E Hession et al.
Heterogeneity in biological aging manifests itself in health status and mortality. Frailty indices (FIs) capture health status in humans and model organisms. To accelerate our understanding of biological aging and carry out scalable interve...
Age-associated suppression of exploratory activity during sickness is linked to meningeal lymphatic dysfunction and microglia activation [0.03%]
与年龄相关的疾病探索行为的抑制与脑膜淋巴管功能障碍和小胶质细胞活化有关
Dylan H Goldman,Taitea Dykstra,Igor Smirnov et al.
Dylan H Goldman et al.
Peripheral inflammation triggers a transient, well-defined set of behavioral changes known as sickness behavior1-3, but the mechanisms by which inflammatory signals originating in the periphery alter activity in the brain remain obscure. Em...
Randomization, design and analysis for interdependency in aging research: no person or mouse is an island [0.03%]
老龄化研究中的随机化、设计与分析：个体或小鼠都不是孤立存在的
Daniella E Chusyd,Steven N Austad,Stephanie L Dickinson et al.
Daniella E Chusyd et al.
Investigators traditionally use randomized designs and corresponding analysis procedures to make causal inferences about the effects of interventions, assuming independence between an individual's outcome and treatment assignment and the ou...
The relationship between epigenetic age and the hallmarks of aging in human cells [0.03%]
表观遗传年龄与人类细胞衰老标志物之间的关系
Sylwia Kabacik,Donna Lowe,Leonie Fransen et al.
Sylwia Kabacik et al.
Epigenetic clocks are mathematically derived age estimators that are based on combinations of methylation values that change with age at specific CpGs in the genome. These clocks are widely used to measure the age of tissues and cells1,2. T...
Shared and disease-specific glial gene expression changes in neurodegenerative diseases [0.03%]
神经退行性疾病中共享和特异的胶质细胞基因表达变化
Guoyan Zhao
Guoyan Zhao
We found evolutionarily conserved astrocyte and microglia subpopulations shared across multiple brain regions. We reveal similarities and differences between Alzheimer's disease glia and Parkinson's disease glia, as well as regional varianc...
Human striatal glia differentially contribute to AD- and PD-specific neurodegeneration [0.03%]
人类纹状体胶质细胞对阿尔茨海默病和帕金森病特异性神经变性具有不同的贡献
Jinbin Xu,Huifangjie L Farsad,Yiran Hou et al.
Jinbin Xu et al.
The commonalities and differences in cell-type-specific pathways that lead to Alzheimer disease (AD) and Parkinson disease (PD) remain unknown. Here, we performed a single-nucleus transcriptome comparison of control, AD and PD striata. We d...
Ruth R Montgomery,Hanno Steen
Ruth R Montgomery
Arthur et al. leverage different types of big data, either generated in house from cohorts of healthy aging and COVID-19, or downloaded from the ever-increasing public data archives, to disentangle the distinct cellular and proteomic mechan...
NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health [0.03%]
美国国立卫生研究院SenNet联盟将绘制人体衰老细胞全景图以了解生理健康状况
SenNet Consortium
SenNet Consortium
Cells respond to many stressors by senescing, acquiring stable growth arrest, morphologic and metabolic changes, and a proinflammatory senescence-associated secretory phenotype. The heterogeneity of senescent cells (SnCs) and senescence-ass...
Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging [0.03%]
马里兰州巴尔的摩纵向衰老研究中的表型衰老指标
Pei-Lun Kuo,Jennifer A Schrack,Morgan E Levine et al.
Pei-Lun Kuo et al.
To define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous attempts to develop aging metrics were hampered by cross-sectional designs and/or focused on ...