A computational model of cerebrospinal fluid production and reabsorption driven by Starling forces.
A computational model of cerebrospinal fluid production and reabsorption driven by Starling forces.
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DOI:
10.3325/cmj.2014.55.481
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发表时间:
2014-10
影响因子:
1.9
通讯作者:
Linninger AA
中科院分区:
文献类型:
--
作者:
Buishas J;Gould IG;Linninger AA
Experimental evidence has cast doubt on the classical model of river-like cerebrospinal fluid (CSF) flow from the choroid plexus to the arachnoid granulations. We propose a novel model of water transport through the parenchyma from the microcirculation as driven by Starling forces. This model investigates the effect of osmotic pressure on water transport between the cerebral vasculature, the extracellular space (ECS), the perivascular space (PVS), and the CSF. A rigorous literature search was conducted focusing on experiments which alter the osmolarity of blood or ventricles and measure the rate of CSF production. Investigations into the effect of osmotic pressure on the volume of ventricles and the flux of ions in the blood, choroid plexus epithelium, and CSF are reviewed. Increasing the osmolarity of the serum via a bolus injection completely inhibits nascent fluid flow production in the ventricles. A continuous injection of a hyperosmolar solution into the ventricles can increase the volume of the ventricle by up to 125%. CSF production is altered by 0.231 µL per mOsm in the ventricle and by 0.835 µL per mOsm in the serum. Water flux from the ECS to the CSF is identified as a key feature of intracranial dynamics. A complete mathematical model with all equations and scenarios is fully described, as well as a guide to constructing a computational model of intracranial water balance dynamics. The model proposed in this article predicts the effects the osmolarity of ECS, blood, and CSF on water flux in the brain, establishing a link between osmotic imbalances and pathological conditions such as hydrocephalus and edema.
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影响因子:
7.3
作者:
Baehr, Carsten;Reichel, Valeska;Fricker, Gert
通讯作者:
Fricker, Gert
影响因子:
3.3
作者:
Kimelberg, HK
通讯作者:
Kimelberg, HK
影响因子:
17.1
作者:
Iliff JJ;Wang M;Liao Y;Plogg BA;Peng W;Gundersen GA;Benveniste H;Vates GE;Deane R;Goldman SA;Nagelhus EA;Nedergaard M
通讯作者:
Nedergaard M
影响因子:
4.1
作者:
HUTCHINGS, M;WELLER, RO
通讯作者:
WELLER, RO
DOI:
10.1021/je060451k
发表时间:
2007-03-01
期刊:
JOURNAL OF CHEMICAL AND ENGINEERING DATA
影响因子:
--
作者:
Ge, Xinlei;Wang, Xidong;Seetharaman, Seshadri
通讯作者:
Seetharaman, Seshadri