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Brain water metabolism ensures mass transfer of
various substrates and signaling molecules, participates in the clearance of
pathogenic metabolites. At present, there are two theories, diffusion and
convection, employed to consider the mass-transfer events taking place within
the brain interstitial system. A new nanofluidic approach, that takes into
account the nanodimensionality of the brain interstitial space, makes it
possible to outline a novel nanofluidic mechanism of brain water metabolism
with its important practical ramifications. An overview of the conventional
approaches and the nanofluidic one is presented to find a possible solution of
the current debate on the mass-transfer events in the brain interstitial space.
Keywords: Brain
water metabolism, Interstitial mass-transfer, Diffusion and convection,
Nanofluidic domain, Nanofluidic mechanism
Abbreviations:
ISF: Interstitial Fluid; ISS: Interstitial Space; AQP4: Aquaporin-4; NVU: Neurovascular Unit
INTRODUCTION
The ISF is involved in transport of nutrients
and gases, neuroactive substances, non-synaptic intercellular communication
(volume transmission), signal transduction, maintaining ionic homeostasis,
formation and resolution of the brain edema, targeted delivery of drugs,
removal waste products, transfer of heat generated by neuroactivity, migration
of cells (malignant cells, stem cells) [1-3].
The ISF serves an external environment for
the brain cells. It envelopes the cells by the sheets of fluid 10-40 nm width
connected by the tubular tunnels of 40-80 nm diameter into an intricate
nanodimensional network [4-6].
A commonly accepted opinion in the medical
community asserts that the ISS is too narrow for any significant bulk flow and
rather presents a diffusion barrier to fluid movement. The laws of diffusion
are deemed sufficient to account for the events taking place there [4,7-12].
The researchers dissatisfied with the diffusion barrier theory put forward
fluid convection instead [8,13-22].
BRAIN INTERSTITIAL
SPACE AND NANOFLUIDICS
An interdisciplinary nanofluidic approach
makes it possible to view the issue in a new light. Nanofluidics deals with the
behavior of fluids confined to nanoslits, nanochannels, nanopores, etc., where
at least one characteristic dimension is in the range of 1-100 nm [23]. A
significant enhancement of fluid flux there due to the surface hydrodynamic
slip is a special rheological feature of the nanoconfined fluids [24,25]. It is
rather counterintuitive and disagrees with the orthodox views. The characteristic
properties of nanoconfined fluid in the ISF were revealed in the first
groundbreaking research on the live brain, carried out with the use of the
injected single-walled carbon nanotubes [26].
Two recent publications pioneer a nanofluidic
approach to model brain water metabolism and the mass transfer events related
to fluid movement in the ISS [27,28]. According to this research, the nanodimensional
compartment of the ISS is considered a nanofluidic domain with fluid flow there
governed by the slip-flow principles of nanofluidics. AQP4 ensures overall
kinetic control over fluid movement across the blood-brain barrier (BBB) and in
the nanofluidic domain [16,29-31]. The pulsatory intracranial hydrostatic
pressure presents a driving force behind fluid movement [32-35]. A modified
phenomenological equation, based on the Kedem-
DISCUSSION
The nanofluidic model describes brain water
metabolism and realistically accounts for some relevant clinical cases. It
demonstrates a possibility of a convective mode of mass transfer of glucose,
oxygen and carbon dioxide within the NVU. The suggested principle could also be
applied to volume transmission and other mass-transfer events in the brain.
The mechanism of fluid movement and mass
transfer in the ISS is a hotly debated issue. Computer simulations of the ISF
flow based on either Darcy or Navier-Stockes formalism demonstrate that
unrealistically high hydrostatic pressure gradients are required for any
significant convection there [10,37]. Unfortunately, in both works a non-slip
approach for fluid flow has been used. For obvious reasons it is not applicable
to the nanoconfined fluids thus rendering the simulation results inconclusive.
CONCLUSION
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