Relative Renal Excretion Patterns of p-Aminohippurate (PAH) and Glomerular Substances

Author:

Chinard Francis P.1

Affiliation:

1. From the Departments of Medicine and of Physiological Chemistry, Johns Hopkins School of Medicine, and the Medical Division, Baltimore City Hospitals, Baltimore, Maryland

Abstract

Renal excretion patterns of PAH have been determined relative to the excretion patterns of glomerular substances simultaneously injected into the renal arteries of anesthetized dogs. The mean transit time of secreted PAH from the renal artery to the uretero-pelvic junction is greater by about 70 seconds than the mean transit time of glomerular substances. It is shown that this delay in the secretion of PAH can be accounted for on the basis of transient accumulation of PAH within the tubular cells. A modified model for the secretion of PAH is proposed; it is suggested that the slow process in the secretion of PAH is the transport across the tubular cell. Values have been calculated for the diffusion coefficient of the hypothetical PAH-intracellular substance complex. The values calculated suggest that the complex may be macromolecular but is not necessarily particulate in size.

Publisher

American Physiological Society

Subject

Physiology (medical)

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of the Renal Excretion of I131-labelled Diodrast, I131-labelled Hypaque and Inulin;Acta Medica Scandinavica;2009-04-24

2. Renal function;Safety Pharmacology in Pharmaceutical Development and Approval;2003-08-26

3. The Multiple Indicator Dilution Method and Its Utility in Risk Assessment;Environmental Health Perspectives;2000-10

4. Renal Excretion and Tubular Transport of Organic Anions and Cations;Comprehensive Physiology;1992-12

5. Enalaprilat handling by the kidney: barrier-limited cell entry;American Journal of Physiology-Renal Physiology;1992-11-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3