2 Department of Bioengineering, MS 142, PO Box 1892, Rice University, Houston, TX 77005; 3 Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH 44195; and 4 Department of Vascular Biology, Hope Heart Institute, Seattle, WA 98104
Received on December 1, 2003; revised on March 2, 2004; accepted on March 5, 2004
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Abstract |
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Key words: compression / decorin / proteoglycans / tension / versican
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Introduction |
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The variability of the different leaflet layers, and hence the structural constituents within the mitral valve, are determined by the specific functional roles of the leaflets and chordae. The closed valve, in particular, maintains a balance of tensile and compressive loads, in which the chordae and the flat central region of the anterior leaflet are in tension, whereas the free edge of the anterior leaflet and most of the posterior leaflet are in appositional compression. Accordingly, the most collagenous components of the mitral apparatus are the chordae and the portion of the anterior leaflet between the annulus and the upper appositional border (Kunzelman et al., 1993). In the posterior leaflet and in the free edge of the anterior leaflet, the collagenenous layer is relatively thinner, whereas the PG-rich spongiosa is substantially thicker.
The wide diversity of glycosaminoglycans (GAGs) and their parent PGs exert considerable yet variable control over the physical properties of the extracellular matrix (Hardingham and Fosang, 1992; Junqueira and Montes, 1983
). Over the past 50 years, exhaustive biochemical analyses have been conducted on the GAGs of heart valves of pigs (Castagnaro et al., 1997
), cows (Bostrom et al., 1963
; Deiss and Leon, 1955
; Honda et al., 1976
; Lowther et al., 1970
; Meyer et al., 1969
; Moretti and Whitehouse, 1963
; von Figura et al., 1973
), rodents (Colvee and Hurle, 1981
; Hallgrimsson et al., 1970
), and humans (Baig et al., 1978
; Masuda, 1984
,; Murata, 1981
; Torii and Bashey, 1966
; Torii et al., 1965
). These studies have examined the influence of subject age on the synthesis and content of the classes of GAGs in all the heart valves. However, these previous studies agree only moderately about the general proportions of HA and the chondroitin/dermatan sulfates (CS/DS) in valve tissues. Although there is a consensus regarding the decrease of total GAG concentration with age, reports disagree on age-related changes in specific GAG classes. Despite the many studies of mitral valve leaflets, only one report describes the GAG classes in chordae (von Figura et al., 1973
). Furthermore, the majority of previous studies have considered the mitral valve leaflets to be homogeneous, which clearly is not the case. One study did examine the regional biosynthesis and content of GAGs in mitral leaflets, but did not differentiate between GAG classes (Bostrom et al., 1963
). There has also been only one group that attempted to link these GAG profiles with the presence of a particular PG (Toole and Lowther, 1968
). In general, there is scant information regarding the influence of GAGs and PGs on the mechanical properties and function of the valve tissues.
Recent developments in carbohydrate analysis using fluorophore-assisted carbohydrate electrophoresis (FACE) (Calabro et al., 2000a,b
) have enabled the study of GAGs in heart valves using novel and efficient methods. The resolution of the bands in FACE enables differentiation between 4- and 6-sulfation of N-acetylgalactosamine (galNAc) on iduronate (idoA)-based disaccharides. The quantification of terminal saccharides (primarily sulfated galNAc) on the same gels simplifies the calculation of the CS/DS chain lengths. Therefore this new technology can quickly provide characteristics about the GAG profile, chain lengths, and sulfation patterns that can provide clues to the identity of particular PGs within mitral valve tissues and might be used to postulate their mechanical contributions to mitral valve function.
This study was designed with several objectives. The first was to determine if the fine structure and chain length of GAGs present in mitral valve tissues are dependent on the predominant type of tissue loading. For this purpose, mitral valves from normal human autopsy subjects were cut into regions of compressive and tensile loading, and their GAG characteristics were measured using FACE. The second objective was to determine if the resulting load-related GAG profiles are dependent on subject demographics (age, body surface area, gender, and race). The third objective was to compare the measured GAG profiles, chain lengths, and sulfation patterns with published data characterizing different PGs to identify the main types of PGs contained within the different loading regions of the valve. Last, western blotting was used to confirm the identity of these PGs in valve tissues.
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Results |
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Chain lengths
The number of disaccharides in the CS/DS chains was estimated from the ratio of the total amount of the CS/DS disaccharides to the total amount of saccharides at the nonreducing termini of the chains. The average lengths of the CS/DS chains were 82 ± 24 and 83 ± 28 disaccharides in the posterior leaflet and the free edge of the anterior leaflet, respectively. Chain length in the center of the anterior leaflet was slightly less (p = 0.081) at 69 ± 19 disaccharides. The shortest chain lengths were found in chordae, with an average of 56 ± 27 disaccharides (p < 0.001 versus posterior leaflet and free edge of anterior leaflet). Regions of compression therefore had longer chain lengths than regions of tension.
Influence of subject demographics
The mitral valves used in this study were discarded from autopsies of normal humans who had no known or suspected history of any cardiac, cardiovascular (i.e., hypertension), or valvular dysfunction. This subject population was 46.4 ± 15.3 years old, 71% male/26% female (1 gender unknown), and 60% Caucasian/40% black. There were no significant differences in age between different genders or different races. Moreover, there were identical distributions of race and gender above and below the mean age. Likewise, the mean body surface area was identical for subgroups younger and older than the mean age and for difference races.
Because the age of the normal human autopsy subjects has been previously reported to influence the concentration of GAGs in heart valves (Baig et al., 1978; Murata, 1981
; Torii et al., 1965
), the individual GAG class concentrations were analyzed with respect to subject demographics. Subject age had a considerable influence on the content of the individual GAG classes in the tensile loading regions. Significant negative correlations were found between subject age and the concentration of
DiHA, glcA-6S-galNAc, glucuronate with 4-sulfated galNAc (glcA-4S-galNAc), idoA-4S-galNAc, total GAGs, and water (correlation coefficients and p-values in Table II, Figure 8). When the proportions of the different GAG classes were calculated relative to the total GAG quantity as measured by FACE, however, the relative proportions of idoA-4S-galNAc and idoA-4S-galNAc were positively correlated with age in the tensile loading regions. The proportion of
DiHA in tensile regions decreased slightly with age.
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Subject gender was a significant factor in the content of individual GAG classes in the tensile loading regions, particularly in chordae. The concentration of DiHA in tensile regions was 27% less in females than in males (p = 0.05). The concentration of idoA-4S-galNAc and total GAGs, respectively, were 35% and 28% greater in females (p < 0.01 for both). Furthermore the proportions of
DiHA and glcA-6S-galNAc in the tensile regions were 25% less (p = 0.009) and 17% less (p = 0.034) in females. The only significant gender difference in the compressive loading regions was a 16% lower proportion of glcA-6S-galNAc in females (p = 0.032).
The influences of race and body surface area were also examined. Black subjects had an 89% greater concentration and 47% greater relative proportion of glcA-4S-galNAc in the posterior leaflet (p = 0.013 for both), and a 20% greater concentration of idoA-4S-galNAc in their chordae (p = 0.05). Caucasian subjects had a 42% greater concentration (p = 0.045) and a 25% greater proportion (p = 0.049) of glcA-6S-galNAc in the anterior leaflet free edge. There were no significant correlations between any biochemical variable and the subject body surface area.
PG measurements
Immunoblotting was used to confirm the identity of guanidine HClextracted, purified PG core proteins from different regions of the mitral valve. The core proteins for decorin (43 kDa doublet) and biglycan (43 kDa) were found in blots from all valve tissues. Versican core protein was also present in all valve tissues as lightly visible V0 (450 kDa) and abundant V1 (
400 kDa) isoforms, in a 3:1 V1:V0 ratio. Because all the specimens from each valve were run together on the same gel, trends between regions of compressive and tensile loading were examined by normalizing band intensities from each PG to the band intensity from the anterior leaflet free edge for each individual valve (Figure 9). These ratios of band intensities generally agreed with our predicted findings based on the GAG results. Decorin was most abundant in the center of the anterior leaflet (tensile), present in lower quantities in the free edge of the anterior leaflet (compressive) and least abundant in the chordae tendineae (tensile) and posterior leaflet (compressive). Biglycan was again most abundant in the center of the anterior leaflet, less abundant in the chordae tendineae and anterior leaflet free edge, and least abundant in the posterior leaflet.
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Discussion |
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Although the division of the mitral valve into regions that experience tensile and compressive loading certainly simplifies its very complex loading regime, a rationale for this segregation is provided by the valve's mechanical and microstructural heterogeneity. For example, the elastic moduli of the center region and of the chordae tendineae are higher than those of the anterior leaflet free edge and the posterior leaflet (Clark, 1973; Kunzelman and Cochran, 1992
; May-Newman and Yin, 1995
). In addition, both the central portion of the anterior leaflet (adjacent to the annulus) (Cochran et al., 1991
) and the chordae (Millington-Sanders et al., 1998
) contain collagen fibers that are highly oriented in the main loading direction, whereas the posterior leaflet and the free edge of the anterior leaflet have less collagen fiber alignment (Kunzelman, 1991
) and a thicker GAG-rich spongiosa (Kunzelman et al., 1993
).
Our findings agree well with previously published data, despite the fact that many of these previous studies did not differentiate between the 6-sulfated and 4-sulfated forms of galNAc. The GAG profiles of the compressive loading regions (predominantly DiHA) match the published data from adult humans (Baig et al., 1978
; Murata, 1981
; Torii et al., 1965
), although the data here contain a greater proportion of glcA-6S-galNAc than reported previously, likely due to our sectioning of the tissue into different loading regions. The profiles found in the tensile regions (dominated by idoA-4S-galNAc) resemble the reported profile of chordae tendineae (von Figura et al., 1973
), although that study did not differentiate between sulfation patterns. The findings of this present study show better agreement overall with previous studies in human adults (Baig et al., 1978
; Murata, 1981
; Torii et al., 1965
) than with studies of valves from young animals (Castagnaro et al., 1997
; von Figura et al., 1973
). These similarities show that FACE, a much more sensitive and convenient method, can be used in place of earlier techniques.
The correlations between GAG content and subject age confirmed or expanded on previous reports. The total concentration of GAGs in mitral valves decreased with age (Baig et al., 1978; Moretti and Whitehouse, 1963
; Murata, 1981
; Torii et al., 1965
), as did the concentrations in the many GAG subclasses. When the GAG class concentrations were converted into proportions of the total GAG content, the proportion of idoA in the tensile regions of the mitral valve increased with age, as previously noted for heart valves overall (Moretti and Whitehouse, 1963
; Murata, 1981
; Torii et al., 1965
). In the compressive regions, the reduction of glcA with age also confirms other reports (Moretti and Whitehouse, 1963
; Torii et al., 1965
). Although prior studies found that the proportion of HA either increased (Murata, 1981
) or decreased with age (Moretti and Whitehouse, 1963
; Torii et al., 1965
), this study found no significant correlation between HA proportion and age in any tissue component of the normal mitral valve. Furthermore the contents of the GAG classes were not correlated with the subject body surface area, but gender and race had a mild effect. Although the relevance of these demographic influences is unknown, it is notable that the incidences of certain valvular cardiac diseases are also associated with age, gender, and race.
To hypothesize the type of PGs found in the tensile and compressive loading regions of the mitral valve, the GAG class concentrations and fine structure characteristics measured from mitral valves were compared with the reported characteristics of PGs found in cardiovascular soft tissues. The compressive loading regions contained high concentrations of water, DiHA, and glcA, an average chain length of 83 disaccharides, and an average glcA-6S-galNAc/glcA-4S-galNAc ratio of
2.7, which are similar to the characteristics of the PG versican. Versican, also known as PG-M, is a large PG that is synthesized by arterial smooth muscle cells (Chang et al., 1983
; Schonherr et al., 1991
), and has been found in aorta (Yao et al., 1994
), skin (Zimmermann et al., 1994
), and malignant tumors (Isogai et al., 1996
). Versican consists of 1520 CS chains (Schonherr et al., 1991
) branching off a 430460-kDa core protein (Chang et al., 1983
; Schonherr et al., 1991
; Yao et al., 1994
). Versican CS chains are reportedly 4345 kDa (85100 disaccharides) in length (Chang et al., 1983
) and composed of 60%80% glcA (Schonherr et al., 1991
) with a glcA-6S-galNAc/glcA-4S-galNAc ratio of at least 2.0 (Chang et al., 1983
; Schonherr et al., 1991
). Furthermore the versican GAG chains create macromolecular domains encompassing large volumes of solvent (Hardingham and Fosang, 1992
), and versican itself aggregates with HA (Chang et al., 1983
; Schonherr et al., 1991
; Zimmermann and Ruoslahti, 1989
). These macromolecular constituents are ideally suited to distribute changes in compressive load as a consequence of repetitive changes in strain.
The tensile regions, in contrast, contained a high concentration of idoA, an overall 6S/4S ratio of 0.34, and an average chain length of 58 disaccharides, which are more indicative of the PGs decorin and biglycan. These two small PGs contain one and two GAG chains, respectively, of 2540 kDa in length (5080 disaccharides) (Fisher et al., 1989
; Oldberg et al., 1996
; Toole and Lowther, 1968
; Wight et al., 1991
). These PGs contain
70% idoA with an overall 6S/4S ratio of 0.35 for idoA and glcA combined (Chang et al., 1983
; Roughley and White, 1992
). DS and, more specifically, decorin have been frequently found in tissues with an abundance of type I collagen, such as tendon (Junqueira and Montes, 1983
; Toole and Lowther, 1968
) and pericardium (Simionescu et al., 1988
). Decorin binds tightly to type I collagen fibers and, based on the tensile forces, governs fibril formation and fibril diameter. Biglycan is similar to decorin but contains two GAG chains and may also have functional roles in highly collagenous tissues (Ameye et al., 2002
). Furthermore, a small collagen-associated DS PG that was likely decorin was found in bovine valve tissues by Toole and Lowther (1965)
. The data from this study are also supported by the work of Daniel and Mills (1988)
, in which cells grown from the tensile region of rabbit flexor tendon produced small PGs that were only 48% susceptible to enzymatic digestion by chondroitinase AC, indicating a high proportion of idoA. Cells grown from the compressive region of the tendon, in contrast, produced large PGs that were wholly digestible by both chondroitinases ABC and AC, indicating that the GAGs present uniformly contained glcA. These data are very similar to our results. In addition, the concentration of collagen in heart valve tissues increases with age (Trnavsky et al., 1965
), as does the proportion of idoA-4S-galNAc measured here, suggesting that these GAGs may be components of collagen-associated decorin and biglycan.
The hypothesized differential abundances of these PGs in tensile versus compressive loading regions of the mitral valve was partially confirmed by our immunoblotting of valve extracts. It was evident that versican, decorin, and biglycan were present in some quantity throughout the valves, which agreed with the earlier results showing that all regions had a wide distribution of GAGs. There were significant regional differences, however, in the relative amounts of decorin and biglycan, and versican was slightly more abundant in the compressive loading regions.
The difference in the GAG profiles and relative PG composition of the compressive as compared to tensile loading regions of the valve reflects the structural and functional differences of these regions. The long, multiple glcA-6S-galNAc chains on the PG versican extend away from the core protein to minimize electrostatic interactions. The resulting large hydrodynamic volumes are ideal to respond to variable compressive loads and to withstand high pulsatile forces (Wight et al., 1991). Versican would thus allow the loosely layered appositional surfaces of the mitral valve to reversibly buffer the considerable impact and shearing deformations that occur during valve opening and closing. The core protein of versican also contains a HA-binding region (LeBaron et al., 1992
; Zimmermann and Ruoslahti, 1989
) that anchors the PGs on long strands of hyaluronan and thereby retains them in the tissue. The combined versican-HA aggregate has been suggested to perform a lubrication and antiadhesive role in tissues by preventing ligandreceptor interactions between cells and matrix (Lemire et al., 1996
; Yamagata et al., 1989
). This lubrication could also aid in viscous dissipation for the impact forces during valve closure (von Figura et al., 1973
). In contrast, several characteristics of the GAG profile suggest the presence of decorin and biglycan in the more solid tensile loading structures of the valve. Decorin in particular is abundant in connective tissues with high concentrations of type I collagen (Bianco et al., 1990
), in which it stabilizes and orients collagen fibrils (Hedbom and Heinegard, 1989
; Toole and Lowther, 1968
). Decorin therefore may play a role in the overall strength of high loadbearing tissues. Biglycan, which typically does not colocalize with decorin, also contributes to collagen fibril diameter and tissue strength (Ameye et al., 2002
).
In conclusion, these data on GAGs and PGs from human mitral valves indicate that the regions in compression are rich in versican and contain abundant glucuronate and 6-sulfated galNAc, with little iduronate. Regions in tension are rich in decorin and biglycan and demonstrate the opposite pattern, with abundant iduronate (and almost exclusively 4-sulfated galNAc) but less glucuronate. The compositional patterns of mitral valve GAGs and PGs thus provide new insight into the roles of these molecules in load-bearing tissues.
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Materials and methods |
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All chemicals were obtained from either Sigma (St. Louis, MO) or Fisher (Pittsburgh, PA), except for glycerol, guanidine HCl, and proteinase-K (Invitrogen, Carlsbad, CA); hyaluronidase SD, chondroitinases ABC and ACII, and 2-B-1 antibody for versican (Seikagaku America, Falmouth, MA); Q-Sepharose Fast Flow beads and peroxidase-linked secondary antibodies (Amersham, Uppsala, Sweden); Triton X-100 (Roche, Indianapolis, IA); and 2-aminoacridone HCl (Molecular Probes, Eugene, OR). Monosaccharide electrophoresis running buffer and the preformed monosaccharide gels were purchased from Glyko (Novato, CA). The polyclonal antibodies LF136 for decorin and LF51 for biglycan were generously provided by Larry Fisher at the National Institute of Dental and Craniofacial Research, NIH.
Sample preparation
Mitral valves were prepared by first removing the chordae then sectioning the valve into anterior and posterior leaflets (Figure 1). The anterior leaflets were sectioned into the central region and the free edge. The chordae were trimmed from the leaflets at their point of attachment, and divided into four groups: anterior basal, anterior marginal, posterior basal, and posterior marginal. The wet weights of the leaflet samples and chordal samples (chordae were pooled into the four groups) were determined. The water content was calculated after lyophilizing the samples for 16 h and then weighing again to obtain the dry weight (Figure 2). The dried samples (typically 20200 mg each) were stored in microcentrifuge tubes at 20°C prior to analysis.
GAG analyses
For subsequent analysis, each sample was minced with fine scissors and 1 ml of 100 mM ammonium acetate buffer (pH 7) added. A 100-µl aliquot of proteinase-K solution (10 mg/ml) was added to each sample followed by incubation for 16 h at 60°C. The completely solubilized digests were then heated at 100°C to inactivate the proteinase-K. An aliquot (100 µl) of each digest was taken to measure the quantity of uronic acid to estimate total GAG content (Figure 2) (Blumenkrantz and Asboe-Hansen, 1973) and hence to determine the volume required for the FACE analysis.
The samples were analyzed by FACE to quantify the different classes of GAGs (Calabro et al., 2000b). Two aliquots containing 5 µg uronic acid were diluted to 100 µl in buffer and then incubated with either (1) 2 µl hyaluronidase SD + 3 µl chondroitinase ABC (each 10 mU/µl, termed HABC), or (2) 3 µl chondroitinase ACII (10 mU/µl, termed ACII) for 3 h at 37°C. The HABC treatment provides a measure of the minimum glcA content, allowing the maximum idoA contents to be estimated by subtracting the ACII data from the HABC data. One HABC digested aliquot was further treated with mercuric acetate to cleave the unsaturated hexuronate from the hexosamines and to determine the identity and quantity of any nonreducing terminal disaccharides. After digestion, the samples were dried, fluorotagged, mixed with glycerol and an internal standard (see later description), and electrophoresed on a monosaccharide gel as previously described (Calabro et al., 2000a
,b
). The gel bands were imaged and analyzed using Gel-Pro (Media Cybernetics, Silver Spring, MD).
Known serially diluted quantities of a 2-sulfated chondroitin sulfate disaccharide (not found in valves) were added to individual samples to provide an internal calibration curve for fluorescence intensity (Figure 3). Enzyme digestion products were identified by correspondence to bands in a disaccharide standard lane. The quantity of each GAG was determined from the integrated optical density of the band(s), the calibration curve, and the aliquot volume used for the enzyme digest (Calabro et al., 2000a,b
).
The resulting GAG profiles were used to calculate several factors specific to particular PGs. The proportions of DiHA to total CS/DS, as well as the ratio of ACII to HABC digestion products, assessed the regional balance of GAG classes and glcA/idoA (Figures 4 5). The ratios of 6-sulfation to 4-sulfation of the galNAcs were calculated for glcA- and idoA-containing disaccharides together and separately (Table I). The ratio of glcA to idoA was also calculated. Finally, the number average lengths of the CS/DS chains were estimated by calculating on a lane-by-lane basis the total amount of the CS/DS
disaccharides (except the 2S internal standard) and dividing by the total amount of saccharides at the nonreducing termini of the chains (Figure 3).
The measured GAG class contents from each sample were divided by the sample dry weight to estimate the tissue concentrations (Figure 6). The proportions of the different GAG classes were then calculated relative to the total GAG quantity as measured by FACE (Figure 7). Statistical comparisons between GAG class concentrations, proportions, or chain lengths in the different valve regions were calculated using a repeated measures ANOVA, followed by Tukey tests as needed, with two-tailed significance accepted at p < 0.01 (reduced due to numerous statistical comparisons between regions). Two-group comparisons (different genders and race) were conducted using t-tests with two-tailed significance accepted at p < 0.05. Correlation coefficients between the GAG class concentrations/proportions and subject age and body surface area (Figure 8) were calculated using linear regression with significance accepted at p < 0.05.
PG extraction and purification
Five fresh mitral valves were dissected into regional samples as described, lyophilized overnight, and reweighed to obtain dry weight. Each sample was minced with fine scissors in a 2-ml centrifuge tube and then agitated in extraction buffer overnight at 4°C (4 M guanidine HCl, 0.5% 3- [(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate, 0.05 M ammonium acetate, 0.01 M ethylenediamine tetra-acetic acid (EDTA), 0.1 M 6-aminohexanoic acid, 0.08% benzamidine HCl, 10 mM N-ethyl maleimide, 1 mM phenylmethylsulfonyl fluoride (PMSF); 1 ml per 25 mg tissue dry weight). After extraction, the samples were centrifuged (13,000 rpm) and the supernatant dialyzed four times against 7 M urea buffer (containing 2 mM EDTA, 0.05 M Tris, 0.5% Triton X-100, pH 7.5) to remove the guanidine. After dialysis, volumes of extract solutions containing equivalent proportions of starting dry mass were mixed with Q-Sepharose beads, and the beads were rinsed with 40 column volumes of 7 M urea buffer containing 0.25 M NaCl. The bound purified PGs were eluted with six column volumes of 7 M urea buffer containing 3 M NaCl.
SDPAGE and western blotting
Equivalent aliquots of the purified PG samples were mixed with water to a final volume of 300 µl and precipitated by adding 1 ml 95% ethanol/1.3% potassium acetate and incubating at 20°C for 2 h. The precipitate was suspended in 20 µl of enzyme digest solution (containing 2.5 mU/µl chondroitinase ABC, 0.01% bovine serum albumin (BSA), 0.05 M Tris, 3 mM Na acetate, 8 mM 6-aminohexanoic acid, 0.42 mM benzamidine HCl, and 0.08 mM PMSF) and incubated at 37°C for 3 h. Samples were then mixed with an equivalent volume of sodium dodecyl sulfatepolyacrylamide gel electrophoresis (SDSPAGE) sample buffer containing 5% ß-mercaptoethanol, boiled for 5 min, and run on a 4%12% SDSPAGE gel at constant 180 V. The gel was transferred to a 0.2-µm nitrocellulose membrane at 100 V (1 h for decorin and biglycan, 3 h for versican). The membrane was blocked in Tris-buffered saline (TBS) with 0.1% Tween-20 and 2% BSA overnight at 4°C, then treated with primary antisera to decorin, biglycan, or versican (1:6000 dilution in TBS/Tween containing 2% fetal bovine serum) overnight at 4°C. After four washes in TBS/Tween, the membrane was treated with horseradish peroxidaselinked secondary antibodies (1:20,000 dilution in 2% BSA) for 2 h at room temperature, then washed six times more. Proteins were detected using chemiluminescent exposure to radiographic film. PG bands were identified by comparison with positive controls and quantified using densitometry. Each PG band (decorin, biglycan, or versican) was normalized by the content of the corresponding band from the anterior leaflet free edge sample run on the same gel (Figure 9).
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Acknowledgements |
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Footnotes |
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Abbreviations |
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References |
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