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测量老年人的系统性炎症调节:证据和效用。

Measuring systemic inflammatory regulation in older adults: evidence and utility.

机构信息

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205-2179, USA.

出版信息

Rejuvenation Res. 2009 Dec;12(6):403-10. doi: 10.1089/rej.2009.0883.

Abstract

Aging is frequently accompanied by a proinflammatory state with adverse health consequences. This state is commonly assessed by markers in serum, either in isolation or ad hoc combination. We sought, alternatively, to develop scores summarizing multiple markers in accordance with biology on inflammatory regulation and evaluate their value added for discriminating functional outcomes in older adults. Data came from InCHIANTI (Invecchiare in Chianti; Aging in the Chianti Area) study participants age 65 years and older. Serum concentrations of seven inflammatory biomediators were subjected to latent variable analysis implementing a biological model of counterbalancing up- and down-regulation processes. Resulting process constructs were approximated by principal component scores; these, and individual markers, were evaluated as predictors of mobility impairment and frailty status in regression analyses, adjusting for key confounders. The biomediators' interrelationships were well predicted by the hypothesized biology. The up-regulation score was independently associated with worsened mobility functioning and frailty risk. For mobility, the association was stronger than, persisted independently of, and accounted for association with each biomediator. The down regulation score was associated with frailty outcomes. We conclude that systemic inflammation is relevant to the process that leads to functional loss in older persons and can be validly measured through biologically informed summary of inflammatory markers.

摘要

衰老常伴有促炎状态,对健康产生不良后果。这种状态通常通过血清标志物来评估,无论是单独评估还是特别组合评估。我们希望根据炎症调节的生物学原理,开发一种综合多种标志物的评分方法,并评估其在区分老年人功能结果方面的附加价值。数据来自 InCHIANTI(Invecchiare in Chianti;衰老在基安蒂地区)研究,参与者年龄在 65 岁及以上。对 7 种炎症生物标志物的血清浓度进行潜在变量分析,采用平衡上调和下调过程的生物学模型。通过主成分评分来近似得到的过程构建;这些以及单个标志物,通过回归分析进行评估,作为调整关键混杂因素后的移动障碍和虚弱状态的预测因子。生物标志物之间的相互关系很好地预测了假设的生物学。上调评分与移动功能恶化和虚弱风险独立相关。对于移动能力,这种关联比每个生物标志物的关联更强、独立存在并解释了与每个生物标志物的关联。下调评分与虚弱结果相关。我们的结论是,系统性炎症与导致老年人功能丧失的过程有关,并且可以通过对炎症标志物进行有生物学依据的综合测量来有效地测量。

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