Division of Geriatrics, Duke University School of Medicine, Durham, North Carolina.
Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina.
J Gerontol A Biol Sci Med Sci. 2020 Sep 25;75(10):e166-e172. doi: 10.1093/gerona/glaa119.
Clinically similar older adults demonstrate variable responses to health stressors, heterogeneity attributable to differences in physical resilience. However, molecular mechanisms underlying physical resilience are unknown. We previously derived a measure of physical resilience after hip fracture-the expected recovery differential (ERD)-that captures the difference between actual recovery and predicted recovery. Starting with biomarkers associated with physical performance, morbidity, mortality, and hip fracture, we evaluated associations with the ERD to identify biomarkers of physical resilience after hip fracture.
In the Baltimore Hip Studies (N = 304) sera, we quantified biomarkers of inflammation (TNFR-I, TNFR-II, sVCAM-1, and IL-6), metabolic and mitochondrial function (non-esterified fatty acids, lactate, ketones, acylcarnitines, free amino acids, and IGF-1), and epigenetic dysregulation (circulating microRNAs). We used principal component analysis, canonical correlation, and least absolute shrinkage and selection operator regression (LASSO) to identify biomarker associations with better-than-expected recovery (greater ERD) after hip fracture.
Participants with greater ERD were more likely to be women and less disabled at baseline. The complete biomarker set explained 37% of the variance in ERD (p < .001) by canonical correlation. LASSO regression identified a biomarker subset that accounted for 27% of the total variance in the ERD and included a metabolic factor (aspartate/asparagine, C22, C5:1, lactate, glutamate/mine), TNFR-I, miR-376a-3p, and miR-16-5p.
We identified a set of biomarkers that explained 27% of the variance in ERD-a measure of physical resilience after hip fracture. These ERD-associated biomarkers may be useful in predicting physical resilience in older adults facing hip fracture and other acute health stressors.
临床相似的老年人对健康压力源的反应不同,这种异质性归因于身体恢复能力的差异。然而,身体恢复能力的分子机制尚不清楚。我们之前在髋部骨折后得出了身体恢复能力的衡量标准,即预期恢复差异(ERD),它反映了实际恢复与预测恢复之间的差异。我们从与身体表现、发病率、死亡率和髋部骨折相关的生物标志物开始,评估与 ERD 的关联,以确定髋部骨折后身体恢复能力的生物标志物。
在巴尔的摩髋部研究(N=304)中,我们定量了炎症(TNFR-I、TNFR-II、sVCAM-1 和 IL-6)、代谢和线粒体功能(非酯化脂肪酸、乳酸、酮体、酰基辅酶 A、游离氨基酸和 IGF-1)以及表观遗传失调(循环 microRNA)的生物标志物。我们使用主成分分析、典型相关分析和最小绝对收缩和选择算子回归(LASSO)来识别与髋部骨折后恢复较好(更大的 ERD)相关的生物标志物。
具有更大 ERD 的参与者在基线时更有可能是女性且残疾程度更低。完整的生物标志物组通过典型相关解释了 ERD 变异的 37%(p<.001)。LASSO 回归确定了一个生物标志物子集,该子集占 ERD 总方差的 27%,并包括一个代谢因素(天冬氨酸/天冬酰胺、C22、C5:1、乳酸、谷氨酸/精氨酸)、TNFR-I、miR-376a-3p 和 miR-16-5p。
我们确定了一组生物标志物,这些生物标志物解释了 ERD 变异的 27%,这是髋部骨折后身体恢复能力的衡量标准。这些与 ERD 相关的生物标志物可能有助于预测面临髋部骨折和其他急性健康压力源的老年人的身体恢复能力。