利用患有高血压慢性肾病的非裔美国人虚拟人群预测钙通道阻滞剂的慢性反应

J. Clemmer, W. Pruett, Robert L. Hester
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摘要

慢性肾脏病(CKD)与功能性肾小球的逐渐丧失和高血压(HTN)有关。临床研究表明,钙通道阻滞剂(CCB)治疗可减轻本质性高血压患者肾功能的衰退。然而,很少有长期临床研究能确定钙通道阻滞剂对高血压慢性肾脏病患者的影响。与白人相比,非裔美国人(AA)患慢性肾功能衰竭的发病率更高,发展为全肾衰竭的速度更快,但对其发病机制却知之甚少。临床证据(非裔美国人肾脏病和高血压研究,或 AASK 试验)和实验研究都表明,CCB 可能会使肾小球毛细血管暴露于较高的系统压力下,并加剧 CKD 的进展。因此,我们利用大型生理模型复制了 AASK 试验结果,预测了虚拟人群在 CCB 降压治疗期间的肾血流动力学反应和肾素-血管紧张素系统的作用,并假设了这些结果的内在机制。我们目前的数学模型 HumMod 由神经、内分泌、循环和肾脏系统等在长期血压(BP)控制中发挥重要作用的综合系统组成。控制这些系统的参数(n = 341)被随机改变,从而产生了 1400 个独特的模型,我们将其定义为虚拟群体。我们根据 AASK 试验中的单个患者数据对这些模型进行了校准:使用氨氯地平(10 毫克/天)3 年前后的血压和肾小球滤过率 (GFR)。校准后,新的虚拟人群(n = 165)在服用 CCB 前后的血压和肾小球滤过率在统计学上相似。单肾小球 GFR 升高和肾小管-肾小球低反馈等基线因素与 CCB 3 年后肾功能下降幅度增大和肾小球硬化加重相关。在虚拟人群中阻断肾素-血管紧张素系统(RAS)可降低肾小球压力,限制肾小球损伤,并进一步降低血压(-14 ± 8 mmHg),与单用 CCB 相比(-11 ± 9 mmHg)。我们的模拟结果反映了 AA CKD 患者单用 CCB 治疗的潜在风险,并支持在联合 CCB 治疗时将阻断肾素血管紧张素系统作为治疗肾病的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting chronic responses to calcium channel blockade with a virtual population of African Americans with hypertensive chronic kidney disease
Chronic kidney disease (CKD) is associated with the progressive loss of functional nephrons and hypertension (HTN). Clinical studies demonstrate calcium channel blocker (CCB) therapy mitigates the decline in renal function in humans with essential HTN. However, there are few long-term clinical studies that determine the impact of CCBs in patients with hypertensive CKD. African Americans (AA) have a higher prevalence of CKD and a faster progression to total kidney failure as compared to the white population but the mechanisms are poorly understood. Both clinical evidence (the African American Study of Kidney Disease and Hypertension, or AASK trial) and experimental studies have demonstrated that CCB may expose glomerular capillaries to high systemic pressures and exacerbate CKD progression. Therefore, using a large physiological model, we set out to replicate the AASK trial findings, predict renal hemodynamic responses and the role of the renin-angiotensin system during CCB antihypertensive therapy in a virtual population, and hypothesize mechanisms underlying those findings. Our current mathematical model, HumMod, is comprised of integrated systems that play an integral role in long-term blood pressure (BP) control such as neural, endocrine, circulatory, and renal systems. Parameters (n = 341) that control these systems were randomly varied and resulted in 1,400 unique models that we define as a virtual population. We calibrated these models to individual patient level data from the AASK trial: BP and glomerular filtration rate (GFR) before and after 3 years of amlodipine (10 mg/day). After calibration, the new virtual population (n = 165) was associated with statistically similar BP and GFR before and after CCB. Baseline factors such as elevated single nephron GFR and low tubuloglomerular feedback were correlated with greater declines in renal function and increased glomerulosclerosis after 3 years of CCB. Blocking the renin-angiotensin system (RAS) in the virtual population decreased glomerular pressure, limited glomerular damage, and further decreased BP (−14 ± 8 mmHg) as compared to CCB alone (−11 ± 9 mmHg). Our simulations echo the potential risk of CCB monotherapy in AA CKD patients and support blockade of the renin angiotensin system as a valuable tool in renal disease treatment when combined with CCB therapy.
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