我们应该摄入多少钠?

Chen Shen, P. J. Bowers, Y. Bar-Yam
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引用次数: 0

摘要

钠是一种重要的膳食需求,对许多生理过程至关重要。高钠摄入会影响严重的健康问题,如高血压和心血管疾病,这是全球最大的死亡原因。因此,许多卫生组织建议大量减少钠的摄入量,少至每天1 500毫克。然而,人们对高摄入量和建议摄入量之间钠的整个影响范围的了解有限。方法:利用Uttamsingh肾系统模型的方程,模拟钠摄入量范围内的长期平均动脉压(MAP)。我们使用另一个现有的生理模拟平台HumMod-3.0.4进行比较。我们将模拟结果与全球人口的实证研究进行了比较。结果:我们发现,在摄入量超过4000 mg/d时,MAP呈线性增长,但在1200至4000 mg/d之间,MAP几乎不变。低于1200mg /d,系统无法维持体内平衡。结论:我们的研究结果支持钠摄入量的u型理论,该理论认为钠摄入量过高和过低会增加心血管疾病的风险,我们的研究结果表明,抗利尿激素和醛固酮的体内平衡调节在约4,000 mg/d时从钠潴留转变为钠排泄(该值因个体和条件而异),表明钠饱和和进化最优。我们的发现与最近对全球大量人口的实证研究是一致的。我们认为目前的低剂量建议不受生理模型分析的支持,需要更有说服力的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Much Sodium Should We Eat?
Introduction: Sodium, an important dietary requirement, is essential to many physiologic processes. High sodium intake affects serious health issues such as hypertension and cardiovascular disease, the largest cause of death globally. Consequently, many health organizations have recommended substantial reductions in sodium intake, to as little as 1,500 mg/d. Yet limited understanding exists for the entire range of the effect of sodium between high intake and the recommendations. Methods: We built a simulation using equations from the Uttamsingh model of the renal system to simulate the long-term mean arterial pressure (MAP) across sodium intake ranges. We used another existing physiology simulation platform, HumMod-3.0.4, for comparison. We compared the simulation results with empirical studies done on the global population. Results: We find a linear increase in MAP for consumption above 4,000 mg/d, but nearly constant MAP between 1,200 and 4,000 mg/d. Below 1,200 mg/d, the system cannot maintain homeostasis. Conclusion: Supporting the U-shape theory of sodium intake, which posits that too-high and too-low sodium intake rates increase cardiovascular disease risks, our results suggest that the homeostatic regulation by antidiuretic hormone and aldosterone transitions from sodium retention to sodium excretion at around 4,000 mg/d (a value that varies across individuals and conditions), indicating sodium saturation and evolutionary optimality. Our findings are consistent with recent empirical studies on large populations globally. We suggest that the current low-level recommendations are not supported by this physiologic model analysis and would require more compelling evidence.
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