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

机译:人类衰老过程中生物学参数的重塑:复杂 ud的证据调节寿命和2型糖尿病。

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摘要

Factor structure analyses have revealed the presence of specific biologicaludsystem markers in healthy humans and diseases. However, this type of approach in udvery old persons and in type 2 diabetes (T2DM) is lacking. A total sample ofud2,137 Italians consisted of two groups: 1,604 healthy and 533 with T2DM. Ageud(years) was categorized as adults (≤65), old (66-85), oldest old (>85-98) andudcentenarians (≥99). Specific biomarkers of routine haematological and biochemicaludtesting were tested across each age group. Exploratory factorial analysis (EFA)udby principal component method with Varimax rotation was used to identify factors udincluding related variables. Structural equation modelling (SEM) was applied toudconfirm factor solutions for each age group. EFA and SEM identified specificudfactor structures according to age in both groups. An age-associated reduction ofudfactor structure was observed from adults to oldest old in the healthy groupud(explained variance 60.4% vs 50.3%) and from adults to old in the T2DM groupud(explained variance 57.4% vs 44.2%). Centenarians showed three-factor structureudsimilar to those of adults (explained variance 58.4%). The inflammatory componentudbecame the major factor in old group and was the first one in T2DM. SEM analysis udin healthy subjects suggested that the glucose levels had an important role inudthe oldest old. Factorial structure change during healthy ageing was associatedudwith a decrease in complexity but showed an increase in variability andudinflammation. Structural relationship changes observed in healthy subjectsudappeared earlier in diabetic patients and later in centenarians.
机译:因子结构分析已揭示健康人类和疾病中存在特定的生物系统标记。但是,在老年人和2型糖尿病(T2DM)中缺乏这种方法。 ud2,137意大利人的总样本包括两组:1,604名健康者和533名患有T2DM的人。年龄 ud(年)分为成人(≤65),年龄(66-85),年龄最大的年龄(> 85-98)和 udcentenarian(≥99)。在每个年龄段均检测了常规血液学和生化检测的特定生物标志物。探索性阶乘分析(EFA) udby主成分方法和Varimax旋转用于识别因素 ud,包括相关变量。将结构方程模型(SEM)应用于每个年龄组的确定因子解。 EFA和SEM根据两组年龄确定了特定的 udfactor结构。在健康组中,成年人的年龄到年龄最大的人 udfactor结构的减少 ud(解释方差为60.4%vs 50.3%),在T2DM组中,成年人的年龄到年龄 ud(解释方差为57.4%vs 44.2%) )。百岁老人的三因素结构与成年人的结构不同(解释方差为58.4%)。炎症成分已成为老年组的主要因素,并且是T2DM中的第一个因素。 SEM分析 udin健康受试者认为,葡萄糖水平在最老的老年人中起重要作用。健康衰老过程中的析因结构变化与复杂性降低有关,但变异性和发炎增加。在健康受试者中观察到的结构关系变化在糖尿病患者中较早出现,在百岁老人中较晚出现。

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