{"title":"用大鼠水电解质稳态模型计算加压素分泌的模拟。","authors":"Louis Nadeau, Danielle Arbour, Didier Mouginot","doi":"10.1186/1472-6793-10-17","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In mammals, vasopressin (AVP) is released from magnocellular neurons of the hypothalamus when osmotic pressure exceeds a fixed set-point. AVP participates to the hydromineral homeostasis (HH) by controlling water excretion at the level of the kidneys. Our current understanding of the HH and AVP secretion is the result of a vast amount of data collected over the five past decades. This experimental data was collected using a number of systems under different conditions, giving a fragmented view of the components involved in HH.</p><p><strong>Results: </strong>Here, we present a high-level model of the rat HH based on selected published results to predict short-term (hours) to long-term (days) variation of six major homeostatic parameters: (1) the extracellular sodium concentration, (2) the AVP concentration, (3) the intracellular volume, (4) the extracellular volume, (5) the urine volume and (6) the water intake. The simulation generates quantitative predictions like the daily mean of the extracellular sodium concentration (142.2 mmol/L), the AVP concentration, (1.7 pg/ml), the intracellular volume (45.3 ml/100 g body weight--bw), the extracellular volume (22.6 ml/100 g bw), the urine volume (11.8 ml/100 g bw) and the cumulative water intake (18 ml/100 g bw). The simulation also computes the dynamics of all these parameters with a high temporal resolution of one minute. This high resolution predicts the circadian fluctuation of the AVP secretion (5 ± 2 pg/ml) and defines the limits of a restoration and a maintenance phase in the HH (2.1 pg/ml). Moreover, the simulation can predict the action of pharmacological compounds that disrupt the HH. As an example, we tested the action of a diuretic (furosemide) combined with a sodium deficient diet to generate quantitative prediction on the extracellular sodium concentration (134 mmol/L) and the need-induced water intake (20.3 ml/100 g bw). These simulated data are compatible with experimental data (136 ± 3 mmol/L and 17.5 ± 3.5 ml/100 g bw, respectively).</p><p><strong>Conclusion: </strong>The quantitative agreement of the predictions with published experimental data indicates that our simplified model of the HH integrates most of the essential systems to predict realistic physiological values and dynamics under a set of normal and perturbed hydromineral conditions.</p>","PeriodicalId":35905,"journal":{"name":"BMC Physiology","volume":"10 ","pages":"17"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6793-10-17","citationCount":"6","resultStr":"{\"title\":\"Computational simulation of vasopressin secretion using a rat model of the water and electrolyte homeostasis.\",\"authors\":\"Louis Nadeau, Danielle Arbour, Didier Mouginot\",\"doi\":\"10.1186/1472-6793-10-17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In mammals, vasopressin (AVP) is released from magnocellular neurons of the hypothalamus when osmotic pressure exceeds a fixed set-point. AVP participates to the hydromineral homeostasis (HH) by controlling water excretion at the level of the kidneys. Our current understanding of the HH and AVP secretion is the result of a vast amount of data collected over the five past decades. This experimental data was collected using a number of systems under different conditions, giving a fragmented view of the components involved in HH.</p><p><strong>Results: </strong>Here, we present a high-level model of the rat HH based on selected published results to predict short-term (hours) to long-term (days) variation of six major homeostatic parameters: (1) the extracellular sodium concentration, (2) the AVP concentration, (3) the intracellular volume, (4) the extracellular volume, (5) the urine volume and (6) the water intake. The simulation generates quantitative predictions like the daily mean of the extracellular sodium concentration (142.2 mmol/L), the AVP concentration, (1.7 pg/ml), the intracellular volume (45.3 ml/100 g body weight--bw), the extracellular volume (22.6 ml/100 g bw), the urine volume (11.8 ml/100 g bw) and the cumulative water intake (18 ml/100 g bw). The simulation also computes the dynamics of all these parameters with a high temporal resolution of one minute. This high resolution predicts the circadian fluctuation of the AVP secretion (5 ± 2 pg/ml) and defines the limits of a restoration and a maintenance phase in the HH (2.1 pg/ml). Moreover, the simulation can predict the action of pharmacological compounds that disrupt the HH. As an example, we tested the action of a diuretic (furosemide) combined with a sodium deficient diet to generate quantitative prediction on the extracellular sodium concentration (134 mmol/L) and the need-induced water intake (20.3 ml/100 g bw). These simulated data are compatible with experimental data (136 ± 3 mmol/L and 17.5 ± 3.5 ml/100 g bw, respectively).</p><p><strong>Conclusion: </strong>The quantitative agreement of the predictions with published experimental data indicates that our simplified model of the HH integrates most of the essential systems to predict realistic physiological values and dynamics under a set of normal and perturbed hydromineral conditions.</p>\",\"PeriodicalId\":35905,\"journal\":{\"name\":\"BMC Physiology\",\"volume\":\"10 \",\"pages\":\"17\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/1472-6793-10-17\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Physiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/1472-6793-10-17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Physiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/1472-6793-10-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 6
摘要
背景:在哺乳动物中,当渗透压超过一个固定的设定点时,下丘脑的大细胞神经元会释放抗利尿激素(AVP)。AVP通过控制肾脏水平的水排泄参与水矿物质稳态(HH)。我们目前对HH和AVP分泌的理解是过去50年来收集的大量数据的结果。这个实验数据是在不同条件下使用许多系统收集的,给出了HH所涉及的组件的碎片视图。结果:在这里,我们基于一些已发表的结果建立了大鼠HH的高级模型,以预测六个主要稳态参数的短期(小时)到长期(天)变化:(1)细胞外钠浓度,(2)AVP浓度,(3)细胞内体积,(4)细胞外体积,(5)尿量和(6)水摄入量。模拟生成定量预测,如细胞外钠浓度(142.2 mmol/L)、AVP浓度(1.7 pg/ml)、细胞内体积(45.3 ml/100 g体重-bw)、细胞外体积(22.6 ml/100 g bw)、尿量(11.8 ml/100 g bw)和累积饮水量(18 ml/100 g bw)的每日平均值。仿真还计算了所有这些参数的动态,具有一分钟的高时间分辨率。这种高分辨率预测了AVP分泌的昼夜波动(5±2 pg/ml),并确定了HH恢复和维持阶段的极限(2.1 pg/ml)。此外,模拟可以预测破坏HH的药理学化合物的作用。作为一个例子,我们测试了利尿剂(尿尿)与缺钠饮食结合的作用,以定量预测细胞外钠浓度(134 mmol/L)和需要引起的水摄入量(20.3 ml/100 g bw)。模拟数据与实验数据(分别为136±3mmol /L和17.5±3.5 ml/ 100g bw)一致。结论:预测与已发表的实验数据的定量一致表明,我们的简化HH模型集成了大多数基本系统,可以在一组正常和扰动的水矿物条件下预测现实的生理值和动力学。
Computational simulation of vasopressin secretion using a rat model of the water and electrolyte homeostasis.
Background: In mammals, vasopressin (AVP) is released from magnocellular neurons of the hypothalamus when osmotic pressure exceeds a fixed set-point. AVP participates to the hydromineral homeostasis (HH) by controlling water excretion at the level of the kidneys. Our current understanding of the HH and AVP secretion is the result of a vast amount of data collected over the five past decades. This experimental data was collected using a number of systems under different conditions, giving a fragmented view of the components involved in HH.
Results: Here, we present a high-level model of the rat HH based on selected published results to predict short-term (hours) to long-term (days) variation of six major homeostatic parameters: (1) the extracellular sodium concentration, (2) the AVP concentration, (3) the intracellular volume, (4) the extracellular volume, (5) the urine volume and (6) the water intake. The simulation generates quantitative predictions like the daily mean of the extracellular sodium concentration (142.2 mmol/L), the AVP concentration, (1.7 pg/ml), the intracellular volume (45.3 ml/100 g body weight--bw), the extracellular volume (22.6 ml/100 g bw), the urine volume (11.8 ml/100 g bw) and the cumulative water intake (18 ml/100 g bw). The simulation also computes the dynamics of all these parameters with a high temporal resolution of one minute. This high resolution predicts the circadian fluctuation of the AVP secretion (5 ± 2 pg/ml) and defines the limits of a restoration and a maintenance phase in the HH (2.1 pg/ml). Moreover, the simulation can predict the action of pharmacological compounds that disrupt the HH. As an example, we tested the action of a diuretic (furosemide) combined with a sodium deficient diet to generate quantitative prediction on the extracellular sodium concentration (134 mmol/L) and the need-induced water intake (20.3 ml/100 g bw). These simulated data are compatible with experimental data (136 ± 3 mmol/L and 17.5 ± 3.5 ml/100 g bw, respectively).
Conclusion: The quantitative agreement of the predictions with published experimental data indicates that our simplified model of the HH integrates most of the essential systems to predict realistic physiological values and dynamics under a set of normal and perturbed hydromineral conditions.
BMC PhysiologyBiochemistry, Genetics and Molecular Biology-Physiology
CiteScore
9.60
自引率
0.00%
发文量
0
期刊介绍:
BMC Physiology is an open access journal publishing original peer-reviewed research articles in cellular, tissue-level, organismal, functional, and developmental aspects of physiological processes. BMC Physiology (ISSN 1472-6793) is indexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, EMBASE, Scopus, Zoological Record and Google Scholar.