Vol. 274, Issue 4, H1327-H1334, April 1998
Pressure-permeability relationships in basement membrane:
effects of static and dynamic pressures
Karel
Klaentschi1,
J. Anne
Brown2,
Philip G.
Niblett3,
Angela C.
Shore1, and
John E.
Tooke1
1 Department of Vascular
Medicine, Postgraduate Medical School, Exeter EX2
5AX; 2 Department of Biological
Sciences, University of Exeter, Exeter EX4 4PS;
and 3 Department of Clinical
Measurements, Royal Devon and Exeter Healthcare National Health
Service Trust, Exeter EX2 5DW, United Kingdom
 |
ABSTRACT |
The glomerular basement membrane (GBM) is an
important component of the filtration barrier that is the glomerular
capillary wall. Previously GBM permeability has been investigated only
under static pressures and often within a supraphysiological range. We
used Matrigel as a model of GBM and formed membranes at
the base of a filtration chamber. We measured membrane permeability under static and dynamic pressures. Matrigel membranes were size and
charge selective toward neutrally and negatively charged dextrans. Their permeability (as measured by hydraulic conductivity) was found to
decrease from 1.61 ± 0.06 to 0.75 ± 0.07 × 10
6
cm · s
1 · cmH2O
1
as static pressure increased from 6 to 78 cmH2O, an effect attributed to
membrane compression. In comparison to static pressure, sinusoidal pressure waves with a mean pressure of 50 cmH2O decreased membrane permeability, e.g., fluid flux was reduced by a maximum of 2% to a
value of 5.47 ± 0.38 × 10
5 cm/s; albumin clearance
was reduced by a maximum of 5.2% to a value of 9.63 ± 1.06 × 10
6
ml · cm
2 · s
1.
Such changes were affected by the frequency of pressure wave application and could be attributed to a switching on and off of the
membrane compression effect.
glomerular basement membrane; size-charge selectivity
 |
INTRODUCTION |
THE ROLE of the basement membrane in capillary
permeability is primarily determined by the continuity of the
endothelium overlying it. In capillaries where the endothelium is
continuous it is likely that the basement membrane functions as only a
secondary barrier to filtration, whereas in the archetypal filtration
capillaries of the glomeruli the basement membrane is directly exposed
to the blood because of fenestrations in the endothelium. Indeed, the
main permselective function of the glomerular wall has been attributed
to the glomerular basement membrane (GBM) (7). Unlike the endothelium
the GBM is not known to rapidly change its permeability characteristics
in response to endogenous chemical stimuli and therefore is often seen
as a passive filter. However, there is evidence that the permeability
of GBM is altered by mechanical forces such as pressure. Using films
formed from fragments of GBM, it has been shown that the basement
membrane compresses greatly under pressure and that such a compression
leads to a decrease in membrane permeability to both water and
macromolecules (13). The physiological significance of such findings
is, however, uncertain because of the supraphysiological pressures used
in this study.
Recently studies have been carried out at physiological pressures using
Matrigel membranes (10). Matrigel is a solubilized basement membrane
preparation isolated from a mouse tumor rich in extracellular matrix
proteins. This study demonstrated that not only does basement membrane
compression occur at physiological pressures, but its effects on
membrane permeability were maximum at the lowest applied pressures. An
increase in pressure from 12.5 to 15 cmH2O resulted in a 7% decrease
in membrane hydraulic conductivity. Although not large, such a response
to a small change in applied pressure raises the possibility that
changes in mean glomerular capillary pressure or changes in glomerular
capillary pulse pressure may serve to regulate glomerular filtration
through their effects on basement membrane.
The primary aim of the present study was to investigate such a
possibility by developing a system in which GBM permeability could be
measured in vitro under pulsatile pressures. We chose to use Matrigel
as a model of GBM. Although not glomerular in origin, Matrigel has the
advantage of being very simple to use, and resulting membranes have
been likened ultrastructurally to the basement membrane of amnion (18).
Furthermore, Matrigel is biochemically similar to other basement
membranes (11), and the structure of Engelbreth-Holm-Swarm (EHS) tumor
matrix (the primary source of Matrigel) is comparable to basement
membrane from a variety of sources including rat glomerulus (8).
Although Matrigel has previously been used as a model for the
investigation of basement membrane permeability (2, 9), one
characteristic that is fundamental to the barrier function of basement
membrane, i.e., size and charge selectivity, has as yet not been
defined. For this reason a secondary aim of the present investigation
was to determine the size- and charge-selective characteristics of Matrigel membranes.
 |
MATERIALS AND METHODS |
The filtration system.
All filtration studies were carried out in an Amicon
miniultrafiltration cell (model 3) (Fig. 1)
on top of a magnetic stir table. Membranes were formed at the base of
the chamber. Filtration buffer was introduced above the membrane via
the pressure-release valve port. For static pressure studies the
chamber was never filled with more than 3 ml of filtration buffer and
was pressurized using nitrogen gas; pressure in the chamber was
monitored using a water manometer.

View larger version (31K):
[in this window]
[in a new window]
|
Fig. 1.
Diagram of ultrafiltration chamber connected to pulsatile pressure
equipment. Membranes were formed at base of filtration chamber on top
of the support filters. For pulsatile pressure studies, chamber was
filled to overflowing with filtration buffer and connected to vibrator.
For static pressure studies, chamber was partially filled with
filtration buffer and connected via pressure source connection to a
nitrogen gas cylinder and water manometer.
|
|
For pulsatile pressure studies the chamber was filled to overflowing
with filtration buffer (~6 ml) and was connected to a motor-driven
piston via a rigid plastic tube also filled with filtration buffer
(Fig. 1). The presence of any air bubbles in the system was avoided.
Sinusoidal pressure waves (SPWs) were generated in this fluid-filled
system by the vertical displacement of the motor-driven piston. The
parameters of the sine wave (mean pressure, amplitude, and frequency)
were set at the function generator, and SPWs generated in the system
were measured by a pressure transducer situated just proximal to the
membrane. Any loss of pressure during a study, due to the loss of fluid
from the system during filtrate formation, was detected by the pressure
transducer and compensated for by a pressure-control circuit. The SPWs
set at the function generator and those detected at the transducer were
recorded throughout each study. To check the validity of the pressure
wave delivered to the membrane, we recorded the SPW directly between
the membrane and the stir bar of the filtration cell, at several
different stir rates, using a micropipette attached to a servo-nulling
system (16). The micropipette was introduced under the stir bar via the
port to which the pressure transducer was normally attached.
In all filtration studies, stirring of the filtration buffer directly
above the membrane was carried out at a rate of 400 revolutions/min.
Preliminary studies had shown that when protein was present in the
filtration buffer, concentration polarization [or the
accumulation of rejected bovine serum albumin (BSA) at the membrane
surface] had no significant effect on fluid and protein flux at
this stir rate.
Formation of Matrigel membranes.
Basement membranes were formed using Matrigel (Collaborative Biomedical
Products, Bedford, MA), a commercially available preparation of EHS
mouse sarcoma basement membrane containing 10-15 mg protein/ml. Frozen batches of Matrigel were thawed at 4°C, aliquoted, and refrozen for future use. On the day of the study an aliquot of Matrigel
was thawed at 4°C. Meanwhile, the ultrafiltration cell was
partially assembled such that a support filter (Whatman
50) overlaid by a prewet cellulose acetate filter (Sartorius,
Goettingen, Germany) (0.45-µm pore size) was clamped
between the base and the plastic sleeve of the filtration chamber (Fig.
1). This filter arrangement was freely permeable to blue dextran of
molecular mass 1,000,000 Da. The cellulose
acetate filter was prewet by submersion in filtration buffer [0.1
M tris(hydroxymethyl)aminomethane (Tris) · HCl, pH
7.4], and any excess fluid was removed by shaking. Using a
precooled pipette, we pipetted 80 µl of Matrigel onto the prewet
cellulose acetate filter, and the filtration chamber was fully
assembled. To aid even spreading of the Matrigel and to promote self
assembly of its components, a pressure of 50 cmH2O (N2 gas) was immediately applied
to the chamber and sustained for 10 min. Gelling of the membrane was
completed by warming the chamber to 37°C for 25 min. Membranes thus
formed had a filtration surface area of 1.33 cm2. After an equilibration period
of 15 min at 22°C the membrane was ready for use. All filtration
studies were carried out at 22°C, and at the completion of each
study the confluence of each membrane was tested by use of a 1%
solution of blue dextran (molecular mass 1,000,000 Da) with a pressure
of 78 cmH2O. Results obtained from
any membrane allowing the passage of blue dextran were rejected; this
was found in approximately one in every eight membranes prepared.
Membrane variability.
Because batches of Matrigel varied in their protein concentration, we
investigated what effect this may have on membrane permeability. Ten
membranes were formed from each of four different batches of Matrigel
containing 10.8, 11.5, 12.6, and 14.1 mg protein/ml. The chamber above
each membrane was filled with 3 ml filtration buffer, and a pressure of
78 cmH2O was applied. Filtrate was
collected for the determination of fluid flux
(Jv).
Membrane thickness.
Six Matrigel membranes (from a single batch of Matrigel) and their
support filters were fixed in a 3% glutaraldehyde solution in
filtration buffer and processed for light microscopy. Each membrane was
sectioned in four randomly selected sites and stained with methylene
blue. With the use of an eyepiece graticule in a light microscope,
membrane thickness was measured at two randomly selected sites within
each section.
Size and charge selectivity of Matrigel membranes.
The size and charge selectivity of eight Matrigel membranes was
assessed using neutral and negatively charged dextrans covering a range
of molecular masses (10,000-160,000 Da). This range of dextrans
was achieved by the hydrolysis of neutral dextran of molecular mass
2,000,000 Da (Sigma) and dextran sulfate of molecular mass 500,000 Da
(Sigma). Neutral dextran was hydrolyzed (at 100°C in 0.1 M HCl) in
two batches, one for 20 min and one for 60 min; by combination of these
batches a quantitatively even distribution of molecular masses was
obtained. Dextran sulfate was hydrolyzed under the same conditions for
20 min; this resulted in a quantitative loss of very low molecular mass
fractions. This could not be compensated for by the addition of
hydrolysates from a more prolonged hydrolysis because this may have
resulted in a heterogeneity of negative charge (4). Hydrolysis was
carried out with a dextran concentration of 5% (wt/vol), and the
reaction was stopped by neutralization. After dialysis against
phosphate-buffered saline and then distilled water, the hydrolysates
were retrieved by evaporation to dryness at 40°C. A solution of
either neutral or sulfated dextran (10 mg/ml in filtration buffer at pH
7.4) was pipetted into the filtration chamber above a freshly formed
membrane. The chamber was pressurized to 50 cmH2O (to approximate in vivo
glomerular capillary pressure), and stirring was initiated at 400 revolutions/min. Filtrate was collected for periods of 8-10 h.
Molecular mass fractions in samples of both the filtrate and the
filtration buffer above the membrane were separated by gel-exclusion
chromatography on Sephadex G-100. Columns (2.5 × 52 cm) were run
at 4°C with 0.01 M Tris · HCl buffer (0.15 M
NaCl, 0.02% sodium azide, pH 7.4) and were calibrated with blue
dextran, albumin, carbonic anhydrase, cytochrome
c, and aprotinin. The Stokes radius of
molecular mass fractions was calculated using the data of Laurent and
Granath (12).
Filtration studies under static pressures.
Either filtration buffer alone or filtration buffer containing 40 mg/ml
BSA was pipetted into the filtration chamber above a freshly formed
membrane. Fluid filtration was determined at 11 different static
pressures in the range of 6-78
cmH2O; pressures were applied in a
random order. At each pressure filtrate was collected for a timed
period until a volume of ~50 µl was obtained; the exact volume was
considered to be equal to the weight change of the filtrate collection
vial. When filtrate for the determination of
Jv alone was
collected, a 10-min equilibration period preceded collection. The
pressure applied during equilibration was equal to that applied during
collection.
For determination of protein filtration, a fresh membrane was formed
and filtration buffer containing 40 mg/ml BSA was pipetted into the
filtration chamber. Six pressures in the range 13-78 cmH2O were applied to each
membrane in a random order, and at each pressure filtrate was collected
for the determination of protein clearance. The filtration buffer
containing protein was replaced after the application of three
pressures, and samples of the filtration solution were taken at the
beginning and at the end of a study as well as directly before and
after the filtration solution was changed. When filtrate for the
determination of protein clearance was collected, the preceding
equilibration period was greater in length than the time it took for
the dead-space volume to be expelled. The dead-space volume (measured
as 0.073 ml) was equal to the volume of fluid held between the membrane
and the outlet of the filtrate exit tube (Fig. 1), and the time it took to be expelled was greatest at the lowest applied pressure.
Filtration studies under pulsatile pressures.
A fresh membrane was formed and the filtration chamber and pulsatile
pressure system were filled with either filtration buffer alone or
filtration buffer containing 40 mg/ml BSA. The following three
pressures were applied in a random order to each membrane: 1) a static pressure of 50 cmH2O;
2) a pulsatile pressure of mean pressure 50 cmH2O, amplitude 30 cmH2O, and frequency 1 Hz; and 3) a pulsatile pressure of mean
pressure 50 cmH2O, amplitude 30 cmH2O, and frequency 2 Hz. A mean
pressure of 50 cmH2O was selected to approximate in vivo glomerular capillary pressure [61.3 ± 1.1 cmH2O in the Munich Wistar rat
(5)]; the pressure amplitude was, however, more than twice that
reported in the glomerular capillaries of the Munich Wistar rat
[12 cmH2O (5)].
Collection and equilibration periods were as described above.
Filtration solution in the chamber was replaced with fresh solution
after the application of two pressures. Any temporal changes in
membrane permeability were quantified by the measurement of membrane
permeability under a static pressure of 50 cmH2O before and after each
application of a pulsatile pressure. The use of 16 membranes in the
pulsatile pressure studies provided a power of 90% to detect a 1.8%
change in Jv when
measured in the presence of protein.
Assays.
Protein concentration in the filtrate and filtration buffer were
measured by the Coomassie assay (3) using BSA (fraction V, Sigma) as
the standard. Dextran concentration in collected eluent fractions was
measured by the anthrone method (14). When neutral dextrans were
quantified, a neutral dextran of molecular mass 2,000,000 Da was used
as the standard; in the case of dextran sulfate, a dextran sulfate of
molecular mass 500,000 Da was used as the standard. Preliminary studies
showed that the molecular mass of the dextran did not influence its
detection by the anthrone method.
Calculations.
Jv (cm/s) across
membranes was calculated by dividing the fluid volume flow rate
(cm3/s) by the membrane surface
area (cm2). In the absence of
protein, the hydraulic conductivity of the membrane
[Lp, or the
permeability of the membrane to fluid
(cm · s
1 · cmH2O
1)]
was equal to the ratio of
Jv to applied
pressure. The clearance of solute across the membrane was calculated by
dividing the solute flux
(mg · cm
2 · s
1)
by the solute concentration of the filtration buffer in the chamber
(mg/ml). Finally, the measured rejection of protein or dextran by the
membrane was equal to 1
, where
is the ratio of the
protein concentration of the filtrate to the protein concentration of
the filtration buffer in the chamber. When 1
was equal to
1, the membrane was completely impermeable to the solute under study.
Statistics.
Selectivity curves and
Jv-pressure
curves were analyzed using analysis of variance (ANOVA) with repeated
measures; the probability level taken as significant was
P < 0.05. When a significant
difference was found, Fisher's least significant difference (LSD)
between means was calculated. The change in membrane flux under
different pulsatile pressure conditions was also analyzed using ANOVA
with repeated measures; when a significant difference was found groups were further compared using a Student's paired
t-test.
Coefficients of variation (CVs) were calculated by dividing the SD by
the mean and multiplying by 100%. All results are given as means ± SD.
 |
RESULTS |
Membrane variability and membrane thickness.
No relationship existed between the amount of protein within a batch of
Matrigel and the measured
Jv (Table
1). Because of this, we
ensured that membranes within each study came from the same batch of
Matrigel; the protein content of Matrigel is specified in the legends
of Figs. 2-10. By light microscopy it could be seen that Matrigel
membranes formed a distinct layer on the surface of the cellulose
acetate filters. Membranes had a mean thickness of 66.33 ± 5.28 µm; the CV within and between membranes was 8.0 and 8.6%,
respectively.
Size and charge selectivity.
At a static filtration pressure of 50 cmH2O the measured rejection of
dextrans (either neutrally or negatively charged) by Matrigel membranes
increased progressively with increasing molecular radius
(P = 0.001) (Fig.
2). The size selectivity of membranes to
neutral and negatively charged dextrans was significantly different (P = 0.017); dextran sulfate molecules
with molecular radii of 44.8, 54.1, 61.9, and 74.8 Å
exhibited significantly greater measured rejection values than neutral
dextrans of the same radius (Fig. 2).

View larger version (23K):
[in this window]
[in a new window]
|
Fig. 2.
Measured rejection [(1 ), where is the ratio of
protein concentration of filtrate to protein concentration of
filtration buffer in chamber] of neutral dextran and negatively
charged dextran sulfate molecules of different molecular radii across
Matrigel membranes (at 50 cmH2O
pressure). Results are means ± SD of 8 different membranes.
* Significant difference between dextrans of same radius
(P < 0.05). Bar represents Fisher's
least significant difference (LSD) between means. Matrigel protein
concentration, 11.5 mg/ml.
|
|
Static pressure studies.
Both in the presence (40 mg/ml BSA) and absence of protein,
Jv increased with
increasing pressure (P = 0.001) (Fig.
3). This relationship deviated from
linearity in that the rate of increase in
Jv appeared to
show a deceleration as pressure was increased. This deviation from
linearity was supported by the finding that a quadratic curve had a
slightly improved fit to the data compared with that of a linear
regression. For example, in the absence of protein,
r2 = 0.976 for a
linear regression and
r2 = 0.996 for a
quadratic curve. Such an improved fit was evident to a lesser degree in
the presence of protein. As pressure increased from 6 to 78 cmH2O, the
Lp of the
membrane, measured in the absence of protein, fell exponentially (Fig.
4). The greatest changes in
Lp occurred at
the lowest applied pressures; for example, a rise in pressure from 8 to
13 cmH2O resulted in a decrease in Lp of ~13%. A
change in pressure of similar magnitude at the highest applied
pressures resulted in a change in
Lp of
<4%.

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 3.
Fluid flux across Matrigel membranes at different filtration pressures
measured in presence (+) and absence ( ) of bovine serum albumin
(BSA; 40 mg/ml). Results are means ± SD from 8 different membranes
(except at 6 cmH2O in presence of
BSA, where n = 4). Matrigel protein
concentration, 14.1 mg/ml.
|
|

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 4.
Hydraulic conductivity of Matrigel membranes at different filtration
pressures. Hydraulic conductivity was calculated from fluid flux values
measured in absence of protein. Results are means ± SD from 8 different membranes. Matrigel protein concentration, 14.1 mg/ml.
|
|
The clearance of BSA across membranes also increased with increasing
pressures (P = 0.001) (Fig.
5) but did not appear to decelerate at
higher pressures. The intercept with the ordinate of a straight line
fitted to the clearance data was 1.88 ± 1.17 × 10
6
ml · cm
2 · s
1;
this value was significantly different from zero
(P = 0.003), suggesting that there was
diffusive flux as well as convective flux of protein across Matrigel
membranes. At the lower applied pressures, a rise in
Jv resulted in a
rise in the measured rejection (Fig. 6),
indicating an increasing predominance of convective over diffusive flux
(17). At the highest
Jv values
(resulting from the highest applied pressures: 48, 63, and 78 cmH2O), measured rejection
appeared to reach a constant value, and indeed no significant difference was found between measured rejection values at the highest
applied pressures. When measured rejection becomes independent of
Jv in this
manner, its value is a good estimate of the true membrane rejection
(17), in this case ~0.7. The protein concentration of the buffer in
the chamber did not change significantly during these studies.

View larger version (13K):
[in this window]
[in a new window]
|
Fig. 5.
Albumin clearance across Matrigel membranes at different pressures.
Filtration buffer contained 40 mg/ml BSA. Results are means ± SD
from 8 different membranes. Matrigel protein concentration, 13.6 mg/ml.
|
|

View larger version (10K):
[in this window]
[in a new window]
|
Fig. 6.
Change in measured protein rejection (1 ) with fluid flux.
Filtration buffer contained 40 mg/ml BSA. Results are means ± SD
from 8 different membranes. Matrigel protein concentration, 13.6 mg/ml.
|
|
Pulsatile pressure studies.
The pressure wave parameters detected at the transducer were slightly
higher than those set at the function generator. For example, the mean
pressure measured by the transducer was 52.01 ± 0.29 cmH2O, whereas the amplitude was
30.16 ± 0.09 cmH2O.
Despite this the SPWs detected at the transducer varied in amplitude
and mean pressure by <1% both within and between studies. Stirring at rates up to 800 revolutions/min had no deleterious effects on the
form of the SPWs when measured directly beneath the stir bar or at the
pressure transducer.
Jv at a static
pressure of 50 cmH2O, monitored at
regular intervals throughout each pulsatile pressure study, remained
constant over the duration of the study, whereas there was a small but nonsignificant increase in protein clearance (Fig.
7). The effects of pulsatile pressure on
Jv as measured in
the absence of protein are shown in Fig. 8.
At a static pressure of 50 cmH2O,
Jv was 5.58 ± 0.46 × 10
5 cm/s. In
comparison with this the application of pulsatile pressures of
frequencies 1 and 2 Hz significantly reduced
Jv to values of 5.50 ± 0.42 × 10
5
cm/s (P = 0.038) and 5.47 ± 0.38 × 10
5
cm/s (P = 0.006), respectively. The
trend of a reducing
Jv with increasing frequency was not significant. When protein was present in
the filtration buffer, pulsatile pressures appeared to have no
significant effect on mean
Jv (Fig.
9).

View larger version (17K):
[in this window]
[in a new window]
|
Fig. 7.
Temporal changes in filtration of fluid and protein across Matrigel
membranes. Filtrate was collected under a static pressure of 50 cmH2O at intermittent points
during pulsatile pressure studies. Results are means ± SD from 14 different membranes (at 75 and 375 min) or from 7 different membranes
(at 225 and 600 min). Matrigel protein concentration, 12.6 mg/ml.
|
|

View larger version (20K):
[in this window]
[in a new window]
|
Fig. 8.
Effect of static pressure of 50 cmH2O (static) and of pulsatile
pressures of mean pressure 50 cmH2O, amplitude 30 cmH2O, and frequency 1 and 2 Hz on
fluid flux across Matrigel membranes in absence of protein. Solid lines
connect results from individual membranes; bold horizontal bars
represent mean values of 17 membranes. Mean values are 5.58 ± 0.46, 5.50 ± 0.42, and 5.47 ± 0.38 × 10 5 cm/s, respectively.
Matrigel protein concentration, 12.6 mg/ml.
|
|

View larger version (19K):
[in this window]
[in a new window]
|
Fig. 9.
Effect of static pressure of 50 cmH2O (static) and of pulsatile
pressures of mean pressure 50 cmH2O, amplitude 30 cmH2O, and frequency 1 and 2 Hz on
fluid flux across Matrigel membranes in presence of protein (BSA at 40 mg/ml). Solid lines connect results from individual membranes; bold
horizontal bars represent mean values of 16 membranes. Mean values are
2.92 ± 0.22, 2.93 ± 0.22, and 2.90 ± 0.21 × 10 5 cm/s, respectively.
Matrigel protein concentration, 12.6 mg/ml
|
|
Under a static pressure of 50 cmH2O, solute clearance was 10.16 ± 1.31 × 10
6
ml · cm
2 · s
1
(Fig. 10). There was no significant
difference between the solute clearance measured under any of the three
applied pressure conditions. When the measured protein rejections were
compared between the three groups, a statistical difference between the
two pulsatile pressure conditions was found
(P = 0.033): measured rejection was
similar under both a static pressure (0.653 ± 0.023) and a pulsatile pressure of frequency 2 Hz (0.657 ± 0.026) but was
significantly increased under a pulsatile pressure of frequency 1 Hz
(0.672 ± 0.026). The protein concentration of the buffer in the
chamber did not change significantly during these studies.

View larger version (21K):
[in this window]
[in a new window]
|
Fig. 10.
Effect of static pressure of 50 cmH2O (static) and of pulsatile
pressures of mean pressure 50 cmH2O, amplitude 30 cmH2O, and frequency 1 and 2 Hz on
solute clearance across Matrigel membranes. Solid lines connect results
from individual membranes; bold horizontal bars represent mean values
of 16 membranes. Mean values are 10.16 ± 1.31, 9.63 ± 1.06, and
9.96 ± 0.93 × 10 6
ml · cm 2 · s 1,
respectively. Matrigel protein concentration, 12.6 mg/ml.
|
|
 |
DISCUSSION |
Matrigel contains all the major components of basement membrane,
including type IV collagen, laminin, and heparan sulfate proteoglycan
(11), and it has recently been reported that membranes formed using
Matrigel have hydraulic conductivity values similar to those reported
for pig GBM (10). This, in combination with its ready availability and
ease of use in the formation of membranes, suggests that Matrigel is a
useful model for GBM. We have further validated Matrigel as an
alternative to GBM fragments by demonstrating its size and charge
selectivity toward neutral and negatively charged dextran fractions. In
comparison to the rat glomerulus in vivo (1), Matrigel membranes had a
much reduced size selectivity. For example, the passage of a neutral
dextran of radius 40 Å across rat glomerulus was almost
totally restricted, whereas its passage across Matrigel membranes was
relatively free (1
0.2). A similar, although less
extensive, loss in size selectivity has also been shown in vitro (under
an applied pressure of 68 cmH2O)
using membranes prepared from rat GBM (6). Such differences between
basement membrane and intact glomerulus imply an important role for
cellular components in the size-selective function of the glomerulus.
The difference in size selectivity between in vitro studies using GBM
fragments or Matrigel may be explained by a structural difference
resulting from the self assembly of Matrigel membranes. Such a
difference has been observed by Yurchenco and Ruben (18), who showed
that type IV collagen isolated from EHS tumor matrix, when allowed to
self assemble, formed a network approximately one-half as tightly
meshed as that occurring in vivo.
Within a single batch of Matrigel, membranes with similar thicknesses
could reproducibly be formed. Furthermore, these membranes varied by
only 8% in their
Jv values as
measured at 78 cmH2O. Variability
in Jv rose to
13% when membranes between batches were compared. This, in combination
with the finding that there was no relationship between membrane
protein concentration and
Jv, prompted us
to use the same batch of Matrigel for each study. Variability between
batches may have arisen from two sources: 1) the ratios of basement membrane
components (collagen, laminin, and proteoglycans) in Matrigel, or
2) the reactivity or ability of the
components to self assemble. Neither of these variables was quantified
by either the producers of Matrigel or by ourselves.
We have shown that within a physiological pressure range,
Jv across
basement membrane does not increase in a linear manner with increasing
pressure; instead filtration rate tended to decrease with increasing
pressure. Furthermore, membrane hydraulic conductivity fell by 13%
when pressure was increased from 8 to 13 cmH2O and continued to fall in an
exponential manner as pressure was further increased. Such observations
have previously been made by Robinson and Walton (13) in a
supraphysiological pressure range using GBM fragments. In their study
the reduction of membrane permeability with increasing applied pressure
was accompanied by a compression of the membrane, and the resultant
increase in membrane density was considered responsible for the
decreased permeability. It seems likely that the same mechanism
occurred with Matrigel membranes exposed to physiological pressures and
accounted for the decreased membrane permeability observed. It was not
possible to discern similar changes in membrane permeability toward
protein because changes in the relative contributions of diffusion and
convection prevented us from determining true membrane rejection over
much of the pressure range. The changes in membrane permeability that we have described would be very small when considered within the normal
range of glomerular capillary pressure [60.2-62.4
cmH2O (5)] and are therefore
unlikely to play any physiological role, although this does not
preclude a role in pathophysiological conditions in which glomerular
capillary pressure may be elevated.
The present study also aimed to investigate the effects of pulsatile
pressures on the permeability properties of Matrigel membranes.
Although the pulse pressure waves used in this study had a mean
pressure comparable to those seen in the glomerular capillaries of the
Munich Wistar rat, their amplitude was approximately doubled (5). In
our system such pressure waves were accurately and reproducibly
generated within the filtration chamber despite the difficulty of
maintaining pressure in the face of a persistent fluid loss.
Furthermore, the lack of any significant temporal change in membrane
permeability during a pulsatile pressure study indicates that the
pressure waves did not damage the membranes.
Pulsatile pressure studies demonstrated that in the absence of protein
the application of a sine pressure wave to a Matrigel membrane resulted
in a decreased Jv
compared with the application of a static pressure. Because of the
nonlinear relationship between Jv and pressure,
such a result would be expected if
Jv measured under
a pulsatile pressure were equal to the mean of the
Jv values seen at
the maximum (65 cmH2O) and minimum
(35 cmH2O) pressures of the SPW.
Because it is likely that the nonlinearity of the Jv-pressure curve
is dependent on membrane compression, it would appear that compression
is switched on and off during a pressure wave with a mean compression
effect greater than that seen under static pressure.
The presence of physiological concentrations of protein in the
filtration buffer appeared to abolish the effects of pulsatile pressure
on Jv. However,
the use of 16 membranes could not detect changes in
Jv of <1.8%,
and so we cannot exclude the possibility of smaller changes. A loss or
reduction in the effects of pulsatile pressure on
Jv in the
presence of protein in the filtration buffer could have resulted either
from a loss of membrane compliance due to the trapping of protein
within the membrane structure or from the osmotic effects of the
protein. A total loss in membrane compliance was not consistent with
the nonlinear
Jv-pressure
curves described in the presence of protein. This does not, however, exclude the possibility that a small loss in compliance may contribute to the reduction in the effects of pulsatile pressure. In support of
osmotic effects, it has been shown in theoretical analyses of the
microcirculation (15) that fluctuating blood flow and pressure, due to
the rhythmic contraction of arterioles and precapillary sphincters,
results in fluctuating luminal protein concentrations, which lead to an
increased net fluid filtration. On the basis of these analyses, it is
tempting to conclude that in our system the compression effects,
resulting in the decreased
Jv seen in the
absence of protein, were canceled out or reduced in the presence of
protein due to an increased
Jv resulting from
fluctuating protein concentrations at the membrane-filtration solution
interface.
In comparison to a static pressure and a pulsatile pressure of
frequency 2 Hz, a pulsatile pressure of frequency 1 Hz appeared to
decrease protein clearance, although this did not reach significance. However, a significant frequency effect was apparent in comparisons of
measured rejection values made between groups. Because we have shown
that convection is predominant at 50 cmH2O, it is likely that measured
rejection under pulsatile pressures reflects true rejection and hence
membrane permeability. However, because pressure within the sine wave
dropped below 50 cmH2O, we cannot
totally exclude changes in the relative contributions of diffusion and convection to the measured rejection values. If, as suggested previously, changes in membrane permeability are due to the compression effects of pressure, then our measured protein rejection results suggest that Matrigel membranes were viscoelastic in their behavior. Unlike elastic bodies their deformation, and therefore their
permeability characteristics, were dependent not only on the force
applied but also on the velocity of application, with a rapid
application of force resulting in a smaller deformation than the same
force applied more slowly. Our results regarding measured protein
rejection under pulsatile pressure fit this theory in that measured
rejection was significantly greater at a pressure wave of 1 Hz than at
2 Hz. Such agreement could not be found in the results obtained for
Jv in the absence
of protein, for which the higher frequency of pressure wave application
appeared to have the greatest effects. As with the static pressure
studies, the effects of pulsatile pressures (which exceeded
physiological limits) on membrane permeability were very small and
therefore unlikely to have any major physiological significance.
In conclusion, we have further established Matrigel as a useful
alternative to GBM films for in vitro permeability studies. As well as
functioning as a size- and charge-selective filter, Matrigel membranes
alter their permeability characteristics through compression effects in
response to the application of both static and pulsatile pressures.
These responses were, however, very small and would be unlikely to
influence glomerular capillary filtration under physiological
circumstances.
 |
ACKNOWLEDGEMENTS |
This work was supported by the Northcote Devon Medical Foundation,
Exeter, and the Wellcome Trust, London.
 |
FOOTNOTES |
Address for reprint requests: K. Klaentschi, Dept. of Vascular
Medicine, Diabetes Research, Postgraduate Medical School, Barrack Rd.,
Exeter EX2 5AX, UK.
Received 19 June 1997; accepted in final form 2 January 1998.
 |
REFERENCES |
1.
Bohrer, M. P.,
C. Bayliss,
H. D. Humes,
R. J. Glassock,
C. R. Robertson,
and
B. M. Brenner.
Permselectivity of the glomerular capillary wall: facilitated filtration of circulating cations.
J. Clin. Invest.
61:
72-78,
1978.
2.
Boyd-White, J.,
and
J. C. Williams, Jr.
Effects of crosslinking on matrix permeability: a model for AGE-modified basement membranes.
Diabetes
45:
348-353,
1996[Abstract].
3.
Bradford, M. M.
A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding.
Anal. Biochem.
72:
248-254,
1976[Medline].
4.
Bray, J.,
and
G. B. Robinson.
Influence of charge on the filtration across renal basement membrane films in vitro.
Kidney Int.
25:
527-533,
1984[Medline].
5.
Brenner, B. M.,
W. M. Deen,
and
C. R. Robertson.
The physiological basis of glomerular ultrafiltration.
In: MTP International Review of Science: Kidney and Urinary Tract Physiology, edited by K. Thurau. London, UK: Butterworths, 1974, vol. 6, p. 335-356.
6.
Daniels, B. S.,
W. M. Deen,
G. Mayer,
T. Meyer,
and
H. Hostetter.
Glomerular permeability barrier in the rat: functional assessment by in vitro methods.
J. Clin. Invest.
92:
929-936,
1993.
7.
Farquhar, M. G.
Functional Ultrastructure of the Kidney. New York: Academic, 1980, p. 31-51.
8.
Inoue, S.
Basic structure of basement membranes is a fine network of "cords," irregular anastomosing strands.
Microsc. Res. Tech.
28:
29-47,
1994[Medline].
9.
Katz, M. A.,
T. Barrette,
and
M. Krasovich.
Hydraulic conductivity of basement membrane with computed values for fiber radius and void volume ratio.
Am. J. Physiol.
263 (Heart Circ. Physiol. 32):
H1417-H1421,
1992[Abstract/Free Full Text].
10.
Katz, M. A.,
and
M. L. La Marche.
Basement membrane (Matrigel) compresses greatly even at low pressures.
Microvasc. Res.
51:
121-125,
1996[Medline].
11.
Kleinman, H. K.,
M. L. McGarvey,
L. A. Liotta,
P. G. Robey,
K. Tryggvason,
and
G. R. Martin.
Isolation and characterization of type IV procollagen, laminin and heparan sulfate proteoglycan from the EHS sarcoma.
Biochemistry
21:
6188-6193,
1982[Medline].
12.
Laurent, T. C.,
and
K. A. Granath.
Fractionation of dextran and Ficoll by chromatography on Sephadex G-200.
Biochim. Biophys. Acta
136:
191-198,
1967[Medline].
13.
Robinson, G. B.,
and
H. A. Walton.
Glomerular basement membrane as a compressible ultrafilter.
Microvasc. Res.
38:
36-48,
1989[Medline].
14.
Roe, J. H.
The determination of sugar in blood and spinal fluid with anthrone reagent.
J. Biol. Chem.
212:
335-343,
1954.
15.
Salathé, E. P.,
R. Venkataraman,
and
J. F. Gross.
Microcirculatory response to periodic pulsations in capillary pressure.
Microvasc. Res.
24:
272-295,
1982[Medline].
16.
Shore, A. C.,
D. D. Sandeman,
and
J. E. Tooke.
Capillary pressure, pulse pressure amplitude, and pressure waveform in healthy volunteers.
Am. J. Physiol.
268 (Heart Circ. Physiol. 37):
H147-H154,
1995[Abstract/Free Full Text].
17.
Taylor, A. E.,
and
D. N. Granger.
Exchange of macromolecules across the microcirculation.
In: Handbook of Physiology. The Cardiovascular System. Microcirculation. Bethesda, MD: Am. Physiol. Soc., 1984, sect. 2, vol. IV, pt. 1, chapt. 11, p. 467-520.
18.
Yurchenco, P. D.,
and
G. C. Ruben.
Basement membrane structure in situ: evidence for lateral associations in the type IV collagen network.
J. Cell Biol.
105:
2559-2568,
1987[Abstract/Free Full Text].
AJP Heart Circ Physiol 274(4):H1327-H1334
0363-6135/98 $5.00
Copyright © 1998 the American Physiological Society