Lambert Gavin W, Sari Carolina Ika, Straznicky Nora E, Dixon John B, Eikelis Nina, Esler Murray D, Schlaich Markus P, Lambert Elisabeth A
Iverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, Australia.
School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia.
Physiol Rep. 2025 Oct;13(19):e70577. doi: 10.14814/phy2.70577.
Measures obtained from the full blood count have been shown to vary around a set point, are stable over years, and provide an indication of disease risk and mortality. In this study, we examined the association between sympathetic nerve activity and components of the full blood count. We performed a retrospective analysis of data drawn from our clinical database. Subjects were included if available data comprised full blood count and muscle sympathetic nerve activity (MSNA). Data were obtained from 160 individuals, comprising healthy volunteers, subjects who were overweight or with clinical obesity, and patients with high blood pressure. MSNA was correlated to the red cell distribution width (RDW, Spearman's rho 0.49 for MSNA b/min and 0.48 for MSNA b/100hb, p < 0.001 for both), but bore no association with any of the other blood variables. Regression analysis indicated that the RDW could be predicted by a combination of MSNA and BMI and to the number of components and diagnosis of the metabolic syndrome, measures of insulin resistance, and markers of inflammation. Our observations may provide insight into the possible mechanisms linking the RDW with mortality.
全血细胞计数所获得的指标已被证明会围绕一个设定点波动，多年来保持稳定，并能提示疾病风险和死亡率。在本研究中，我们研究了交感神经活动与全血细胞计数各成分之间的关联。我们对从临床数据库提取的数据进行了回顾性分析。如果可用数据包括全血细胞计数和肌肉交感神经活动（MSNA），则纳入受试者。数据来自160名个体，包括健康志愿者、超重或临床肥胖的受试者以及高血压患者。MSNA与红细胞分布宽度相关（对于MSNA，每分钟搏动数的斯皮尔曼相关系数为0.49，每100血红蛋白的斯皮尔曼相关系数为0.48，两者p均<0.001），但与其他任何血液变量均无关联。回归分析表明，红细胞分布宽度可通过MSNA和BMI的组合以及代谢综合征的成分数量、诊断、胰岛素抵抗指标和炎症标志物来预测。我们的观察结果可能有助于深入了解红细胞分布宽度与死亡率之间的潜在机制。
