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社会人口统计学模式在 Add Health 队列老化生物标志物中的表现。

Sociodemographic patterns in biomarkers of aging in the Add Health cohort.

机构信息

Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA.

Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA.

出版信息

Biodemography Soc Biol. 2024 Apr-Jun;69(2):57-74. doi: 10.1080/19485565.2024.2334687. Epub 2024 Mar 29.

Abstract

Biomarkers in population health research serve as indicators of incremental physiological deterioration and contribute to our understanding of mechanisms through which social disparities in health unfold over time. Yet, few population-based studies incorporate biomarkers of aging in early midlife, when disease risks may emerge and progress across the life course. We describe the distributions of several biomarkers of inflammation and neurodegeneration and their variation by sociodemographic characteristics using blood samples collected during Wave V of the National Longitudinal Study of Adolescent to Adult Health (ages 33-44 years). Higher mean levels of inflammatory and neurodegenerative biomarkers were associated with greater socioeconomic disadvantage. For example, the neurodegenerative markers, Neurofilament Light Chain and total Tau proteins were higher among lower income groups, though the relationship was not statistically significant. Similarly, proinflammatory marker Tumor Necrosis Factor-α (TNF-α) levels were higher among those with lower education. Significant differences in the mean levels of other proinflammatory markers were observed by race/ethnicity, sex, census region, BMI, and smoking status. These descriptive findings indicate that disparities in biomarkers associated with aging are already evident among young adults in their 30s and attention should focus on age-related disease risk earlier in the life course.

摘要

人群健康研究中的生物标志物可作为生理恶化增量的指标,并有助于我们了解健康方面的社会差异随时间推移而展开的机制。然而,很少有基于人群的研究在中年早期(疾病风险可能出现并在整个生命周期中进展的时候)纳入衰老的生物标志物。我们描述了在国家青少年至成人健康纵向研究第五波(33-44 岁)期间采集的血液样本中几种炎症和神经退行性生物标志物的分布情况,及其与社会人口特征的差异。较高水平的炎症和神经退行性生物标志物与更大的社会经济劣势有关。例如,在收入较低的群体中,神经退行性标志物神经丝轻链和总 Tau 蛋白水平较高,但这种关系没有统计学意义。同样,具有较低教育水平的人促炎标志物肿瘤坏死因子-α(TNF-α)水平较高。其他促炎标志物的平均水平也存在显著的种族/民族、性别、人口普查区、BMI 和吸烟状况差异。这些描述性发现表明,与衰老相关的生物标志物的差异在 30 多岁的年轻人中已经明显存在,应该更早地关注生命历程中的与年龄相关的疾病风险。

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