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我的鼠标什么时候会坏?基于成年雌性小鼠的免疫功能、氧化还原和行为参数预测其寿命。

When will my mouse die? Life span prediction based on immune function, redox and behavioural parameters in female mice at the adult age.

机构信息

Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University, Madrid, Spain; Institute of Investigation Hospital 12 Octubre, Madrid, Spain.

Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University, Madrid, Spain.

出版信息

Mech Ageing Dev. 2019 Sep;182:111125. doi: 10.1016/j.mad.2019.111125. Epub 2019 Aug 2.

Abstract

The identification of predictive markers of life span would help to unravel the underlying mechanisms influencing ageing and longevity. For this aim, 30 variables including immune functions, inflammatory-oxidative stress state and behavioural characteristics were investigated in ICR-CD1 female mice at the adult age (N = 38). Mice were monitored individually until they died and individual life spans were registered. Multiple linear regression was carried out to construct an Immunity model (adjusted R = 75.8%) comprising Macrophage chemotaxis and phagocytosis and Lymphoproliferation capacity, a Redox model (adjusted R = 84.4%) involving Reduced Glutathione and Malondialdehyde concentrations and Glutathione Peroxidase activity and a Behavioural model (adjusted R = 79.8%) comprising Internal Locomotion and Time spent in open arms indices. In addition, a Combined model (adjusted R = 92.4%) and an Immunity-Redox model (adjusted R = 88.7%) were also constructed by combining the above-mentioned selected variables. The models were also cross-validated using two different sets of female mice (N = 30; N = 40). Correlation between predicted and observed life span was 0.849 (P < 0.000) for the Immunity model, 0.691 (P < 0.000) for the Redox, 0.662 (P < 0.000) for the Behavioural and 0.840 (P < 0.000) for the Immunity-Redox model. Thus, these results provide a new perspective on the use of immune function, redox and behavioural markers as prognostic tools in ageing research.

摘要

预测寿命的标志物的鉴定将有助于揭示影响衰老和长寿的潜在机制。为此,在成年期(N=38)对 ICR-CD1 雌性小鼠研究了包括免疫功能、炎症-氧化应激状态和行为特征在内的 30 个变量。对每只小鼠进行单独监测,直到它们死亡,并记录个体寿命。进行多元线性回归以构建免疫模型(调整 R=75.8%),该模型包含巨噬细胞趋化性和吞噬作用以及淋巴细胞增殖能力;构建氧化还原模型(调整 R=84.4%),该模型包含还原型谷胱甘肽和丙二醛浓度以及谷胱甘肽过氧化物酶活性;构建行为模型(调整 R=79.8%),该模型包含内部分布运动和在开放臂上花费的时间。此外,通过组合上述选定的变量,还构建了一个综合模型(调整 R=92.4%)和一个免疫-氧化还原模型(调整 R=88.7%)。使用两组不同的雌性小鼠(N=30;N=40)对模型进行了交叉验证。免疫模型预测寿命与观察寿命之间的相关性为 0.849(P<0.000),氧化还原模型为 0.691(P<0.000),行为模型为 0.662(P<0.000),免疫-氧化还原模型为 0.840(P<0.000)。因此,这些结果为将免疫功能、氧化还原和行为标志物用作衰老研究中的预后工具提供了新的视角。

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