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Oxidative stress and longevity in okinawa: an investigation of blood lipid peroxidation and tocopherol in okinawan centenarians.冲绳的氧化应激与长寿:对冲绳百岁老人血液脂质过氧化和生育酚的调查
Curr Gerontol Geriatr Res. 2010;2010:380460. doi: 10.1155/2010/380460. Epub 2011 Mar 30.
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Factor analysis of cardiometabolic risk factors clustering in children and adolescents.儿童和青少年心脏代谢危险因素聚类的因子分析。
Metab Syndr Relat Disord. 2011 Apr;9(2):151-6. doi: 10.1089/met.2010.0097. Epub 2010 Dec 29.
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Heritability analysis of life span in a semi-isolated population followed across four centuries reveals the presence of pleiotropy between life span and reproduction.对跨越四个世纪的半隔离种群寿命进行遗传分析,揭示了寿命与繁殖之间存在多效性。
J Gerontol A Biol Sci Med Sci. 2011 Jan;66(1):26-37. doi: 10.1093/gerona/glq163. Epub 2010 Sep 24.
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Inflammation, genetic background and longevity.炎症、遗传背景与长寿。
Biogerontology. 2010 Oct;11(5):565-73. doi: 10.1007/s10522-010-9286-3. Epub 2010 Jun 13.
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Systems biology and longevity: an emerging approach to identify innovative anti-aging targets and strategies.系统生物学与长寿:一种新兴方法,用于鉴定创新的抗衰老靶标和策略。
Curr Pharm Des. 2010;16(7):802-13. doi: 10.2174/138161210790883660.
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Measuring systemic inflammatory regulation in older adults: evidence and utility.测量老年人的系统性炎症调节:证据和效用。
Rejuvenation Res. 2009 Dec;12(6):403-10. doi: 10.1089/rej.2009.0883.
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Converging pathways in lifespan regulation.寿命调控的汇聚途径。
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Exceptional survivors have lower age trajectories of blood glucose: lessons from longitudinal data.特殊幸存者的血糖轨迹年龄较低:来自纵向数据的教训。
Biogerontology. 2010 Jun;11(3):257-65. doi: 10.1007/s10522-009-9243-1. Epub 2009 Jul 31.
9
The multidimensional health locus of control scales: testing the factorial structure in sample of African American medical patients.多维健康控制点量表:在非裔美国医学患者样本中检验因子结构
Ethn Dis. 2009 Spring;19(2):192-8.
10
Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity.胰岛素/胰岛素样生长因子1信号通路中的常见基因变异与人类长寿的关联。
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人类衰老过程中生物学参数的重塑:长寿和2型糖尿病复杂调控的证据。

Remodelling of biological parameters during human ageing: evidence for complex regulation in longevity and in type 2 diabetes.

作者信息

Spazzafumo Liana, Olivieri Fabiola, Abbatecola Angela Marie, Castellani Gastone, Monti Daniela, Lisa Rosamaria, Galeazzi Roberta, Sirolla Cristina, Testa Roberto, Ostan Rita, Scurti Maria, Caruso Calogero, Vasto Sonya, Vescovini Rosanna, Ogliari Giulia, Mari Daniela, Lattanzio Fabrizia, Franceschi Claudio

机构信息

Biostatistical Center, Polo Scientifico Tecnologico, I.N.R.C.A., Via Birarelli, 8, Ancona, Italy.

出版信息

Age (Dordr). 2013 Apr;35(2):419-29. doi: 10.1007/s11357-011-9348-8. Epub 2011 Dec 16.

DOI:10.1007/s11357-011-9348-8
PMID:22174010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3592946/
Abstract

Factor structure analyses have revealed the presence of specific biological system markers in healthy humans and diseases. However, this type of approach in very old persons and in type 2 diabetes (T2DM) is lacking. A total sample of 2,137 Italians consisted of two groups: 1,604 healthy and 533 with T2DM. Age (years) was categorized as adults (≤65), old (66-85), oldest old (>85-98) and centenarians (≥99). Specific biomarkers of routine haematological and biochemical testing were tested across each age group. Exploratory factorial analysis (EFA) by principal component method with Varimax rotation was used to identify factors including related variables. Structural equation modelling (SEM) was applied to confirm factor solutions for each age group. EFA and SEM identified specific factor structures according to age in both groups. An age-associated reduction of factor structure was observed from adults to oldest old in the healthy group (explained variance 60.4% vs 50.3%) and from adults to old in the T2DM group (explained variance 57.4% vs 44.2%). Centenarians showed three-factor structure similar to those of adults (explained variance 58.4%). The inflammatory component became the major factor in old group and was the first one in T2DM. SEM analysis in healthy subjects suggested that the glucose levels had an important role in the oldest old. Factorial structure change during healthy ageing was associated with a decrease in complexity but showed an increase in variability and inflammation. Structural relationship changes observed in healthy subjects appeared earlier in diabetic patients and later in centenarians.

摘要

因子结构分析已揭示健康人和疾病中特定生物系统标志物的存在。然而,在非常年长者和2型糖尿病(T2DM)患者中缺乏这种方法。2137名意大利人的总样本分为两组:1604名健康者和533名T2DM患者。年龄(岁)分为成年人(≤65岁)、老年人(66 - 85岁)、高龄老人(>85 - 98岁)和百岁老人(≥99岁)。对每个年龄组进行常规血液学和生化检测的特定生物标志物测试。采用主成分法和方差最大化旋转的探索性因子分析(EFA)来识别包括相关变量的因子。应用结构方程模型(SEM)来确认每个年龄组的因子解。EFA和SEM在两组中均根据年龄识别出特定的因子结构。在健康组中,从成年人到高龄老人观察到因子结构随年龄相关的减少(解释方差60.4%对50.3%),在T2DM组中从成年人到老年人也有类似情况(解释方差57.4%对44.2%)。百岁老人显示出与成年人相似的三因子结构(解释方差58.4%)。炎症成分在老年组中成为主要因子,在T2DM组中是首要因子。健康受试者的SEM分析表明,血糖水平在高龄老人中起重要作用。健康衰老过程中的因子结构变化与复杂性降低相关,但变异性和炎症增加。在健康受试者中观察到的结构关系变化在糖尿病患者中出现得更早,在百岁老人中出现得更晚。