Suppr超能文献

Mechanisms underlying the volume regulation of interstitial fluid by capillaries: a simulation study.

作者信息

Himeno Yukiko, Ikebuchi Masayuki, Maeda Akitoshi, Noma Akinori, Amano Akira

机构信息

Department of Bioinformatics, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan.

出版信息

Integr Med Res. 2016 Mar;5(1):11-21. doi: 10.1016/j.imr.2015.12.006. Epub 2016 Jan 6.

Abstract

BACKGROUND

Control of the extracellular fluid volume is one of the most indispensable issues for homeostasis of the internal milieu. However, complex interdependence of the pressures involved in determination of fluid exchange makes it difficult to predict a steady-state tissue volume under various physiological conditions without mathematical approaches.

METHODS

Here, we developed a capillary model based on the Starling's principle, which allowed us to clarify the mechanisms of the interstitial-fluid volume regulation. Three well known safety factors against edema: (1) low tissue compliance in negative pressure ranges; (2) lymphatic flow driven by the tissue pressure; and (3) protein washout by the lymph, were incorporated into the model in sequence.

RESULTS

An increase in blood pressure at the venous end of the capillary induced an interstitial-fluid volume increase, which, in turn, reduced negative tissue pressure to prevent edema. The lymphatic flow alleviated the edema by both carrying fluid away from the tissue and decreasing the colloidal osmotic pressure. From the model incorporating all three factors, we found that the interstitial-fluid volume changed quickly after the blood pressure change, and that the protein movement towards a certain equilibrium point followed the volume change.

CONCLUSION

Mathematical analyses revealed that the system of the capillary is stable near the equilibrium point at steady state and normal physiological capillary pressure. The time course of the tissue-volume change was determined by two kinetic mechanisms: rapid fluid exchange and slow protein fluxes.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e5/5381436/f2576b2e2c39/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验