Natalia Mitin, Amy Entwistle, Anne Knecht, Susan L Strum, Allison Ross, Kirsten Nyrop, Hyman B Muss, Denis Tsygankov, Joseph M Raffaele
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Here, we describe evidence of clinical relevance in early aging and metabolic phenotypes in a general adult population.</p><p><strong>Methods: </strong>We enrolled a total of 482 participants (ages 25-90) into two prospective, cross-sectional healthy aging cohorts. Expression of biomarkers of adaptive immune function and cellular senescence (SapereX) was measured in CD3+ T cells isolated from peripheral blood.</p><p><strong>Findings: </strong>We established a network of biomarkers of adaptive immune function that correlate with cellular senescence and associate with early aging phenotypes. SapereX immune components associated with a decrease in CD4+ T cells, an increase in cytotoxic CD8+ T cells, and a loss of CD8+ naïve T cells (Pearson correlation 0.3-0.6). These components also associated with a metric of immune resilience, an ability to withstand antigen challenge and inflammation. In contrast, SapereX components were only weakly associated with GlycanAge (Pearson correlation 0.03-0.15) and commonly used DNA methylation clocks (Pearson correlation 0-0.25). 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引用次数: 0
摘要
背景:生物衰老在与年龄相关的临床症状出现前数十年就已开始,并由细胞衰老和适应性免疫功能下降两个过程介导。这些过程在功能上相互关联,衰老细胞的积累速度取决于诱导和免疫清除之间的平衡。我们以前的研究表明,这些领域的生物标志物可以识别有手术相关不良事件风险的患者。在此,我们描述了在普通成年人群中早期衰老和代谢表型的临床相关性证据:方法:我们在两个前瞻性横断面健康老龄化队列中共招募了 482 名参与者(25-90 岁)。从外周血中分离出的 CD3+ T 细胞中测量了适应性免疫功能和细胞衰老(SapereX)生物标志物的表达:我们建立了一个适应性免疫功能生物标志物网络,该网络与细胞衰老相关,并与早期衰老表型有关。SapereX 免疫成分与 CD4+ T 细胞的减少、细胞毒性 CD8+ T 细胞的增加和 CD8+ 幼稚 T 细胞的丧失有关(皮尔逊相关性为 0.3-0.6)。这些成分还与免疫复原力指标有关,即抵御抗原挑战和炎症的能力。相比之下,SapereX 成分与 GlycanAge(皮尔逊相关性为 0.03-0.15)和常用的 DNA 甲基化时钟(皮尔逊相关性为 0-0.25)只有微弱的联系。最后,SapereX 生物标志物,尤其是 p16,与慢性炎症和代谢失调有关:SapereX生物标志物的测量可捕捉到细胞衰老与适应性免疫功能失调之间关系的基本要素,并可为临床相关的健康决策提供基准。
Profiling an integrated network of cellular senescence and immune resilience measures in natural aging: a prospective multi-cohort study.
Background: Biological aging begins decades before the onset of age-related clinical conditions and is mediated by both cellular senescence and declining adaptive immune function. These processes are functionally related with the rate of senescent cell accumulation dependent upon a balance between induction and immune clearance. We previously showed that biomarkers in these domains can identify patients at-risk of surgery-related adverse events. Here, we describe evidence of clinical relevance in early aging and metabolic phenotypes in a general adult population.
Methods: We enrolled a total of 482 participants (ages 25-90) into two prospective, cross-sectional healthy aging cohorts. Expression of biomarkers of adaptive immune function and cellular senescence (SapereX) was measured in CD3+ T cells isolated from peripheral blood.
Findings: We established a network of biomarkers of adaptive immune function that correlate with cellular senescence and associate with early aging phenotypes. SapereX immune components associated with a decrease in CD4+ T cells, an increase in cytotoxic CD8+ T cells, and a loss of CD8+ naïve T cells (Pearson correlation 0.3-0.6). These components also associated with a metric of immune resilience, an ability to withstand antigen challenge and inflammation. In contrast, SapereX components were only weakly associated with GlycanAge (Pearson correlation 0.03-0.15) and commonly used DNA methylation clocks (Pearson correlation 0-0.25). Finally, SapereX biomarkers, in particular p16, were associated with chronic inflammation and metabolic dysregulation.
Interpretation: Measurement of SapereX biomarkers may capture essential elements of the relationship between cellular senescence and dysregulated adaptive immune function and may provide a benchmark for clinically relevant health decisions.