Abstract
Mounting evidence suggests that cells within soft tissues seek to maintain a preferred biomechanical state. Residual stress is defined as the stress that remains in a tissue when all external loads are removed and contributes to tissue mechanohomeostasis via decreasing the transmural gradient of wall stress. Current computational models of pelvic floor mechanics, however, often do not consider residual stress. Residual strain, a result of residual stress can be quantitatively measured through opening angle experiments. Therefore, the objective of this study is to quantify the regional variations in opening angles along the murine female reproductive system at estrus and diestrus to quantify residual strain in the maintenance state of sexually mature females. Further, evidence suggests that hydrophilic glycosaminoglycan/proteoglycans are integral to cervical remodeling. Thus, variations in opening angles following hypo-osmotic loading are evaluated. Opening angle experiments were performed along the murine reproductive system in estrus (n = 8) and diestrus (n = 8) and placed in hypo-osmotic solution. Measurements of thickness and volume were also obtained for each group. Differences in opening angle were observed with respect to region and loading (p < 0.05), however, no differences with respect to estrus stage were significant. Thickness values were significant with respect to region, (p < 0.05) only. The effects of both estrous cycle and region (p < 0.05) resulted in significant differences in observed volume. The observed regional differences indicate changes in the stress-free state of each tissue which may have implications for future computational models to advance women’s reproductive health.
Keywords: Pelvic floor, Vagina, Cervix, Opening Angle, Women’s Reproductive Health
1. INTRODUCTION
Computational models of the female reproductive system and its supporting structures have been developed to better describe and predict the mechanics of the pelvic floor in both healthy and diseased states c.f., (Liao et al. 2014, Yang et al. 2016, Myers et al. 2010, Abramowitch et al. 2009, Lien et al. 2004). To date, however, these models largely do not incorporate residual stress, an important mechanical characteristic of soft tissue. Residual stress is defined as the stress that remains in a tissue when no external loads are applied, and induces a residual strain that can be quantitatively measured through opening angle experiments (Chuong and Fung 1986). These residual stresses and strains are thought to contribute to tissue mechanohomeostasis (Takamizawa and Hayashi 1987, Chuong and Fung 1986). This has been shown most prevalently in arteries in which ignoring the effect of residual stress results in the development of a transmural stress gradient throughout the wall (Takamizawa and Hayashi 1987, Takamizawa and Hayashi 1988). When residual stress is considered in healthy arteries, however, this gradient is eliminated and an equidistribution of stress is observed (Han and Fung 1996, Cardamone et al. 2009, Taber and Humphrey 2001). Conversely, when considering residual stress in arteries experiencing abnormally high stresses (such as hypertension), a non-linear stress profile throughout the thickness of the wall is observed (Chuong and Fung 1986, Fung 1991, Haghighipour, Tafazzoli-Shadpour and Avolio 2010, Taghizadeh, Tafazzoli-Shadpour and Shadmehr 2015). Hence, incorporating residual stress into computational models may provide a more accurate calculation of the mechanical state of the pelvic floor, thus providing a framework to determine potential mechanical mechanisms of tissue remodeling observed during the disease state of the tissue.
Female reproductive organs continuously undergo extracellular matrix (ECM) remodeling during normal processes such as the estrous cycle, pregnancy, postpartum healing, and aging/menopause (Rodriguez-Pinon et al. 2015, Perry et al. 2012). A murine model was chosen due to its microstructural similarities to human reproductive tissues and prevalent use in pelvic floor disorder research c.f., (Abramowitch et al. 2009, Mahendroo 2012, Westervelt and Myers 2017, Elovitz and Mrinalini 2004). There is an abundance of mechanical test data on the murine reproductive system that can be further complemented by the incorporation of residual strain data c.f., (Rahn et al. 2008, Yoshida et al. 2014, Elovitz and Mrinalini 2004, Barnum et al. 2017, Robison et al. 2017).
In addition to differences in the growth and remodeling state, it is understood that the constituent makeup of the female reproductive system varies significantly with region, which may result in a spatial variability of the stress-free state of the tissue. It has also been suggested that tissue osmotic-induced swelling is closely linked to the residual stress due to turnover of the water sequestering glycosaminoglycans (GAGs) that are inherent in the ECM of women’s reproductive organs (Guo, Lanir and Kassab 2007, Sorrentino et al. 2015a, Azeloglu et al. 2008). Therefore, the objective of this study is to quantify the effects of estrous cycle, spatial variation (beginning at the ovaries and moving distally to the vagina), and hypo-osmotic loading on residual strain by means of opening angle experiments.
2. METHODS
Sexually mature (4–6 month old, n=16) female C57BL6 mice (The Jackson Laboratory, Bar Harbor, ME, USA) were euthanized (n=8 at estrus, n=8 at diestrus) and their reproductive systems were excised and stored at −20ºC in this Tulane University Animal Care and Use Committee approved study. Mice were allowed to acclimate for one week after delivery before euthanasia and were housed under standard conditions (standard bedding, light/dark cycles). After the acclimation period, the estrus cycle of each mouse was monitored daily by visual inspection as described previously until the desired phase of the cycle was identified (Byers et al. 2012). Samples were bathed in Hank’s Balanced Saline Solution (HBSS) at room temperature before testing. With the use of an Olympus SZX12 microscope (Olympus America, Inc., Melville, NY, USA), pairs of rings of approximately 0.5 mm in width were cut transversely at six different positions along the reproductive system (Fig 1). These positions included the upper right and left uteri near the ovary (UOV), right and left mid-uterus (U), right and left uteri near the mid-cervix (UCER), mid-cervix (CER), external os/vaginal cervix (VCER), and the vagina (V) (Fig 1). One ring from each of the pairs was randomly placed in 33% hypo-osmotic HBSS with 46 mM sodium chloride while the other ring remained in control HBSS with 134 mM sodium chloride (Sorrentino et al. 2015b). Following a 30 min equilibration, the rings were imaged with a Moticam 580 microscope camera (Motic, Inc., Richmond, British Columbia, Canada). Then the anterior section of each ring was cut radially, and the near-zero stress states were imaged 30 minutes later (Ferruzzi, Bersi and Humphrey 2013, Amin, Le and Wagenseil 2012, Humphrey 2002). Using the angle tool in ImageJ (ImageJ, U.S. National Institutes of Health, Bethesda, ME, USA), opening angles were measured from the midpoint of the inner wall to the tips of the inner wall of the open sections. Opening angles of the rings of the left and right upper uterus near the ovary, left and right mid-uterus, and left and right uteri near the mid-cervix were averaged at each of these locations.
Histology and Immunohistochemistry
To examine histological (n=3) and immunohistological (n=3) changes with regional location, U, UCER, VCER, and VAG specimens at estrus in the control (normo-osmotically loaded) group were fixed in 10% formalin and embedded in paraffin. Sections (4 microns thick) were cut circumferentially followed by deparaffinization and rehydration. For histological analysis, sections were stained with Masson’s Trichrome (MTC) and Hart’s Elastin stain detecting smooth muscle, collagen, and elastin, respectively. Picrosirius Red (PSR) staining was performed for histological analysis of smaller and larger diameter collagen. For immunohistochemical analysis for area fractions of collagen type III to I antigen retrieval was performed by rodent decloaker in Nxgen Decloaking chamber (Biocare, Pacheco, CA, USA) at 121ºC for 15 min with pressure (pH=6.0). The sections were blocked for 5 min in hydrogen peroxide to eliminate endogenous peroxidase activity and nonspecific staining, followed by avidin and biotin blocking. Endogenous mouse IgG was blocked with Rodent BlockM (Biocare, Pacheco, CA, USA) for 30 min. The sections were incubated for 45 min with primary antibodies rabbit anti-collagen I (1:200; Abcam, Cambridge, MA, USA, ab34710, Lot no.GR321795–4) and rabbit anti-collagen III (1:200; Abcam, Cambridge, MA, USA, ab7778, Lot no. GR3208254–4). Primary antibodies were detected with Rabbit-on-Rodent AP-Polymer (Biocare, Pacheco, CA, USA) with incubation for 45 min. Following, the tissue was incubated in 3,3’-diaminobenzidine substrate for 5 min for color development. Counterstaining with hematoxylin was performed to visualize localization of the collagen types within the tissue.
All images were obtained using an Olympus BX51 microscope and DP-27 camera (Olympus, Tokyo). Samples stained with PSR were imaged with polarized dark field microscopy, and analyzed using a custom MATLAB (Mathworks, Natwick, MA) code to quantify the area fraction of different sized collagen fibers by calculating the number of pixels of each color to quantify the ratio of smaller to larger diameter collagen fibers. MTC, Hart’s Elastin, collagen I and collagen III stained images were analyzed using ImageJ (ImageJ, U.S. National Institutes of Health, Bethesda, ME, USA) Color Deconvolution plugin to isolate specific colors based on pixel values (Ruifrok and Johnston 2001). The GNU Image Manipulation Program (GIMP) was then used to calculate area fractions of each constituent by determining the ratio of stained constituent pixels to total pixels. All quantification was performed on 4x images displaying the full tissue short-axis cross-section.
Immunoblotting
Reproductive tract tissues (n=8) were dissected into sections and homogenized in RIPA buffer (ThermoFisher Scientific, Waltham, MA, USA) containing protease and phosphatase inhibitors. Protein concentration was determined by BCA (ThermoFisher Scientific, Waltham, MA, USA) method. Collagen I (n=3) was resolved by 10% sodium dodecyl sulfate (SDS) gel electrophoresis while collagen III (n=5) was resolved under 8% non-denaturing conditions with 70 µg of total protein loaded per well. For a standard, 20 µg of human collagen III (Millipore Sigma, Burlington, MA, USA) was used. The proteins were then transferred onto nitrocellulose membranes for 1 h 45 min followed by blocking in LICOR® Odyssey buffer (Lincoln, NE, USA) for 1 h at room temperature. The membranes were incubated in the following primary antibodies overnight at 4ºC: anti-collagen I (1:1000; Abcam, Cambridge, MA, USA, ab34710, Lot no.GR321795–4) or III (1:1000; Abcam, Cambridge, MA, USA, ab7778, Lot no. GR3208254–4). For collagen I blots, β-actin expression was used as a loading control (Cell Signaling Tehcnology, Danvers, MA, USA, 3700, ref. date 082018). For native collagen III blots, Ponceau-S staining (Sigma-Aldrich, St. Louis, MO, USA) was used to verify equal loading of protein. Secondary antibodies used were anti-rabbit (1:2000; Cell Signaling Tehcnology, Danvers, MA, USA) and anti-mouse (1:1000; Santa Cruz Biotechnology, Dallas, TX, USA). The membranes were incubated in Pierce™ ECL Substrate (ThermoFisher Scientific, Waltham, MA, USA) and exposed to autoradiography films to visualize the protein bands. The density of the bands were quantified in ImageJ.
Data Analysis
The circumferential thickness of each ring was calculated using a custom MATLAB (MathWorks, Natwick, MA) script (Ferruzzi et al. 2013). After utilizing ImageJ to find the circumference of each ring, a MATLAB program was written to approximate the volume of each ring using the equation where 0.5 represent the width of the ring in millimeters, D is the outer diameter of the ring in millimeters, which is found by dividing the circumference by pi, and H is the calculated thickness in millimeters. Like the opening angle measurements, the thickness and volume calculations of the rings of the left and right upper uterus near the ovary, left and right mid-uterus, and left and right uteri near the mid-cervix were averaged at each of these locations.
Statistical Analysis
A 3-way ANOVA (estrous cycle, region, hypo-osmotic loading) was used to evaluate changes in opening angle, thickness, and volume (R, R Foundation for Statistical Computing). To evaluate regional differences in tissue composition 1-way ANOVAs were performed for each assay of interest: 1) constituent area fractions obtained from standard histology, 2) ratio of smaller to larger diameter collagen fibers obtained from PSR stained slides, 3) collagen III to I ratio obtained from immunohistochemistry, 4) collagen I content obtained from immunoblotting, and 5) collagen III content obtained from immunoblotting. When appropriate, post-hoc t-tests with Bonferroni corrections were performed.
3. RESULTS
Opening Angle
Opening angle results indicated significant differences with respect to region and loading (p < 0.05); however, the effect of estrous cycle was not found to be significant, nor any of the interactions (Fig 2). Therefore, to evaluate our hypothesis that regional differences in opening angles are present, post-hoc t-tests with Bonferroni-correction (p <0.05/5 = 0.01) wherein 5 pairwise comparisons were performed within each group (Fig 2). In all cases, an increasing trend in opening angle was observed in regions increasing distally from the UOV. The vagina exhibited the largest opening angle under each condition except for the normo-osmotic loaded, diestrus group. To investigate our hypothesis that hypo-osmotic loading will significantly change the opening angle, post-hoc t-tests (p < 0.05) were performed to examine differences in opening angles before and after hypo-osmotic loading. Samples in diestrus exhibited significantly smaller opening angles when subject to hypo-osmotic loading (Fig 2A, C). No changes in opening angles were observed in normo-osmotic loaded estrus samples relative to hypo-osmotic loaded samples (Fig 2B, D).
Thickness
The 3-way ANOVA identified significant differences with respect to region (p < 0.05) (Fig 3). The effects of estrous cycle and hypo-osmotic loading, however, were not found to be significant, nor any of the interactions. Hence, post-hoc t-tests with Bonferroni-corrections were utilized to examine regional differences (p <0.05/5 = 0.01) wherein 5 pairwise comparisons were performed within each group (Fig 3).
Volume
Volume results indicated significant differences with respect to estrous cycle and region (p < 0.05), however the effect of loading was not found to be significant, nor any of the interactions (Fig 4). To test our hypothesis that estrous cycle will induce significant changes in volume, post-hoc t-tests (p < 0.05) were performed to examination differences in volume of each region in estrus and diestrus. displayed a significant increase in control VCER sample volume at diestrus. A significant increase in control VCER sample volume was observed in diestrus, while a significant increase was also observed in hypo osmotically loaded UOV and CER in diestrus Further, for regional differences in volume, post-hoc t-tests with Bonferroni-correction (p <0.05/5 = 0.01) wherein 5 pairwise comparisons were performed within each group (Fig 4). Normo-osmotically loaded samples in both estrus and diestrus exhibited significantly larger volumes in the vagina with respect to all regions (Fig 4A, B).
Histology, Immunohistochemistry, and Immunoblotting
The 1-way ANOVA did not identify statistically significant differences in smooth muscle, collagen, and elastin area fraction with regional location (Fig 5). Statistical analysis revealed significant differences with respect to regional location at estrus in smaller (p<0.01) and larger (p<0.001) diameter collagen area fraction, and smaller to larger diameter ratio (p< 0.001) from PSR. The ratio of smaller to larger diameter collagen was significantly greater in the V with respect to all regions (Fig 5Y). Immunohistochemical analysis with a 1-way ANOVA resulted in no significant difference in collagen III to I ratio between regions (Fig 5Z). Regional differences in band intensity from immunoblotting for collagen I and III content at estrus was not detected with a 1-way ANOVA (Fig 6).
4. DISCUSSION
In this study, the effect of estrous cycle, regional variation, and hypo-osmotic loading on residual strain was quantified in the non-pregnant murine female reproductive system. Despite observed changes in collagen composition throughout the estrous cycle (Wood et al. 2007), no significant differences in the opening angle were identified in this study with estrous (Fig 3). Collagen turnover during the estrous cycle, however, may be constrained to the epithelium, as matrix metalloproteinases (MMPs), collagen degrading molecules, are localized to the epithelium in the murine uterus (Lombardi et al. 2018). Since the stroma is primarily responsible for load-bearing, collagen turnover localized to the non-load bearing epithelium may explain the lack of significant differences in residual strain despite altered collagen content. Supporting this, estrous cycle demonstrated no significant changes in material and structural properties in the rat vagina (Moalli et al. 2005) or murine cervix (unpublished pilot study, n=6).
Estrous cycle, however, significantly affected tissue volume (Fig 4). Specifically, in normo-osmotic loaded samples, the portion of the cervix closest to the vagina was significantly larger in estrus compared to diestrus; however, hypo-osmotically loaded cervices and uteri near the cervices demonstrated larger volumes in diestrus. The increase in volume may result from alterations in tissue composition between estrus and diestrus. For example, the ewe cervix displayed a greater collagen composition in estrus compared to diestrus (Rodriguez-Pinon et al. 2015). Further, modest increases in GAG content of the murine cervix at diestrus (Akgul et al. 2012b) may contribute to the increase in volume in the hypo-osmotic group as GAGs are water sequestering molecules. Future work is necessary, however, to fully elucidate local changes in tissue microstructure and mechanical function in the murine reproductive system in response to fluctuations in steroid hormones.
Opening angle increased along the length of the reproductive tract (Fig. 2), which may be attributed to differences in tissue microstructure. The vagina demonstrated a larger opening angle and ratio of smaller to larger diameter collagen fibers (PSR analysis) indicating fiber diameter may affect the opening angle. In addition, collagen content is greater in the murine vagina and cervix compared to the uterus (Zhao et al. 2000). Similarly, opening angle and collagen mass fraction increase distally along the length of the aorta (Rachev, Greenwald and Shazly 2013). The rat esophagus also displayed a positive correlation between collagen content and opening angle (Fan et al. 2005). Prior work implicates that elastin (Greenwald et al. 1997) and GAGs (Guo et al. 2007, Sorrentino et al. 2015b, Azeloglu et al. 2008) significantly contribute to residual strain in addition to collagen fibers. No significant differences in elastin area fraction, however, were identified along the length of the reproductive system, thus suggesting collagen fibers may dominate the regional differences observed in this study.
Hypo-osmotic loaded uteri, cervices and uteri near the ovaries, in diestrus exhibited significantly smaller opening angles compared to normo-osmotic loading. A similar trend is reported in the murine carotid artery (Sorrentino et al. 2015a), wherein nonuniform distribution of GAGs may impart this mechanism (as opposed to increased opening angle with hypo-osmotic loading with a uniform distribution) (Guo et al. 2007). In the murine cervix, GAGs are predominantly located within the stroma and epithelial layer and are stabilized by proteoglycans in the stroma (Mahendroo 2012). Thus, a nonuniform distribution of GAGs and subsequent interactions with proteoglycans may contribute to the decreased OA with hypo-osmotic loading at diestrus. Hypo-osmotic loading, however, did not induce significant changes in opening angles at estrus. Hypo-osmotic loading is thought to increase sequestering of water by hydrophilic GAGs. Thus, the decreased GAG composition at estrus may, in part, explain the lack of significant differences (Akgul et al. 2012b). Similarly, tissue volume and thickness were not significantly altered by hypo-osmotic loading. This result contrasts with increased thickness and volume observed in the murine aorta subjected to hypo-osmotic loading (Guo et al. 2007). Differences arising from distribution of GAG type and interactions with collagen (Greenwald et al. 1997) may affect water sequestration by GAGs. The aorta mainly contains chondroitin sulfate (52% of total GAGs) (Theocharis et al. 1999); contrastingly, hyaluronic acid accounts for 51% of the total GAGs in the non-pregnant murine cervix (Akgul et al. 2012a).
Although not a substitute for studies in human tissues, murine models are widely utilized to investigate the biomechanics of the reproductive system c.f., (Rahn et al. 2008, Robison et al. 2017, Yoshida et al. 2014, Mondragon, Yoshida and Myers 2013). Albeit anatomical differences, rodent model’s gross connective vaginal tissue anatomy is reported to be similar to humans (Moalli et al. 2005). As for the cervix, despite differences in the non-load bearing epithelium, cervical remodeling processes are comparable to humans (Mahendroo 2012). Therefore, this animal model serves as a useful tool to assess relationships between the structure and function of the reproductive tissues, including the role of residual strain.
In closing, current computational models do not account for residual strain and report large gradients in transmural stress. This study quantifies residual strain for the potential future incorporation of residual stress into constitutive modeling to describe and predict pelvic floor dynamics. The regional differences observed indicate a significant change in the zero-stress state of each tissue. Such models may aid in the development of constitutive models with predictive capabilities in the treatment and prevention of clinical issues such as premature cervical remodeling and pelvic organ prolapse. Ultimately, the study suggests that incorporation of residual strain into constitutive formulations may aid in evaluations of mechanohomeostasis and mechano-mediated remodeling of the pelvic floor.
ACKNOWLEDGMENTS
We would like to acknowledge Akinjide Akintunde and Cassandra Conway for assistance.
FUNDING
Tulane Newcomb College Institute (NCI) Faculty Grant (KSM).
Footnotes
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Conflict of interest statement
The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Contributor Information
Daniel J. Capone, Department of Biomedical Engineering, Tulane University 6823 St. Charles Ave, New Orleans, LA 70118 USA
Gabrielle L. Clark, Department of Biomedical Engineering, Tulane University 6823 St. Charles Ave, New Orleans, LA 70118 USA
Derek Bivona, Department of Biomedical Engineering, Tulane University Department of Biomedical Engineering, University of Virginia.
Benard O. Ogola, Department of Pharmacology, Tulane University School of Medicine 1430 Tulane Avenue, New Orleans, LA 70112 USA
Laurephile Desrosiers, Department of Female Pelvic Medicine & Reconstructive Surgery, University of Queensland Ochsner Clinical School 1514 Jefferson Highway, New Orleans, LA 70121.
Leise R. Knoepp, Department of Female Pelvic Medicine & Reconstructive Surgery, University of Queensland Ochsner Clinical School 1514 Jefferson Highway, New Orleans, LA 70121
Sarah H. Lindsey, Department of Pharmacology, Tulane University School of Medicine 1430 Tulane Avenue, New Orleans, LA 70112 USA
Kristin S. Miller, Department of Biomedical Engineering, Tulane University 6823 St. Charles Ave, New Orleans, LA 70118 USA
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