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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

The current protocol establishes a rigorous and reproducible method for quantification of morphological joint changes that accompany osteoarthritis. Application of this protocol can be valuable in monitoring disease progression and evaluating therapeutic interventions in osteoarthritis.

Abstract

One of the most prevalent joint disorders in the United States, osteoarthritis (OA) is characterized by progressive degeneration of articular cartilage, primarily in the hip and knee joints, which results in significant impacts on patient mobility and quality of life. To date, there are no existing curative therapies for OA able to slow down or inhibit cartilage degeneration. Presently, there is an extensive body of ongoing research to understand OA pathology and discover novel therapeutic approaches or agents that can efficiently slow down, stop, or even reverse OA. Thus, it is crucial to have a quantitative and reproducible approach to accurately evaluate OA-associated pathological changes in the joint cartilage, synovium, and subchondral bone. Currently, OA severity and progression are primarily assessed using the Osteoarthritis Research Society International (OARSI) or Mankin scoring systems. In spite of the importance of these scoring systems, they are semiquantitative and can be influenced by user subjectivity. More importantly, they fail to accurately evaluate subtle, yet important, changes in the cartilage during the early disease states or early treatment phases. The protocol we describe here uses a computerized and semiautomated histomorphometric software system to establish a standardized, rigorous, and reproducible quantitative methodology for the evaluation of joint changes in OA. This protocol presents a powerful addition to the existing systems and allows for more efficient detection of pathological changes in the joint.

Introduction

One of the most prevalent joint disorders in the United States, OA is characterized by progressive degeneration of articular cartilage, primarily in the hip and knee joints, which results in significant impacts on patient mobility and quality of life1,2,3. Articular cartilage is the specialized connective tissue of diarthrodial joints designed to minimize friction, facilitate movement, and endure joint compression4. Articular cartilage is composed of two primary components: chondrocytes and extracellular matrix. Chondrocytes are specialized, metabolically active cells that play a primary role in the development, maintenance, and repair of the extracellular matrix4. Chondrocyte hypertrophy (CH) is one of the principal pathological signs of OA development. It is characterized by increased cellular size, decreased proteoglycan production, and increased production of cartilage matrix-degrading enzymes that eventually lead to cartilage degeneration5,6,7. Further, pathological changes in the subchondral bone and synovium of the joint play an important role in OA development and progression8,9,10,11,12. To date, there are no existing curative therapies that inhibit cartilage degeneration1,2,3,13,14. Thus, there is extensive ongoing research that aims to understand OA pathology and discover novel therapeutic approaches that are able to slow down or even stop OA. Accordingly, there is an increasing need for a quantitative and reproducible approach that enables accurate evaluation of OA-associated pathological changes in the cartilage, synovium, and subchondral bone of the joint.

Currently, OA severity and progression are primarily assessed using the OARSI or Mankin scoring systems15. However, these scoring systems are only semiquantitative and can be influenced by user subjectivity. More importantly, they fail to accurately evaluate subtle changes that occur in the joint during disease or in response to genetic manipulation or a therapeutic intervention. There are sporadic reports in the literature describing histomorphometric analyses of the cartilage, synovium, or subchondral bone16,17,18,19,20,21. However, a detailed protocol for rigorous and reproducible histomorphometric analysis of all these joint components is still lacking, creating an unmet need in the field.

To study pathological changes in OA using histomorphometric analysis, we used a surgical OA mouse model to induce OA via destabilization of the medial meniscus (DMM). Among the established models of murine OA, DMM was selected for our study because it involves a less traumatic mechanism of injury22,23,24,25,26. In comparison to meniscal-ligamentous injury (MLI) or anterior cruciate ligament injury (ACLI) surgeries, DMM promotes a more gradual progression of OA, similar to OA development in humans22,24,25,26. Mice were euthanized twelve weeks after DMM surgery to evaluate changes in the articular cartilage, subchondral bone, and synovium.

The goal of this protocol is to establish a standardized, rigorous, and quantitative approach to evaluate joint changes that accompany OA.

Protocol

Twelve-week-old male C57BL/6 mice were purchased from Jax Labs. All mice were housed in groups of 3–5 mice per micro-isolator cage in a room with a 12 h light/dark schedule. All animal procedures were performed according to the National Institute of Health (NIH) Guide for the Care and Use of Laboratory Animals and approved by the Animal Care and Use Committee of Pennsylvania State University.

1. Post-traumatic osteoarthritis (PTOA) surgical model

  1. Anesthetize mice using a ketamine (100 mg/kg)/xylazine (10 mg/kg) combination via intraperitoneal injection, administer buprenorphine (1 mg/kg) via intraperitoneal injection for pain relief, and shave the hair over the knee. Check for the lack of a pedal reflex before starting the surgery.
  2. Perform destabilization of the medial meniscus (DMM) surgery as previously described22,23.
    NOTE: Please refer to Glasson et al. and Singh et al. references for more detailed surgical protocol information22,23.
    1. Make a 3 mm longitudinal incision from the distal patella to the proximal tibial plateau of the right knee joint. Use a suture to displace the patellar tendon.
    2. Open the joint capsule medial to the tendon and move the infrapatellar fat pad to visualize the intercondylar region, medial meniscus, and meniscotibial ligament23.
    3. Transect the medial meniscotibial ligament to complete DMM and destabilize the joint22,23. Close the incision site with staples or sutures.
  3. Perform sham surgeries following a similar procedure, but without transection of the medial meniscotibial ligament.
    NOTE: Mice were randomized to receive either DMM or sham surgery. According to the previously published literature, mice develop significant PTOA 12 weeks after the DMM surgery22,23,24.

2. Mouse euthanasia and sample collection

  1. Mouse euthanasia
    1. Twelve weeks after DMM, anesthetize mice using a ketamine (100 mg/kg)/xylazine (10 mg/kg) combination via intraperitoneal injection.
    2. Make a midline incision through the skin along the thorax and retract the rib cage to expose the heart for perfusion fixation27.
      NOTE: Refer to the Gage et al. reference for additional information on the protocol for proper rodent fixation as well as the video depiction of the proper equipment assembly and procedures27.
    3. Set up the perfusion apparatus according to the manufacturer’s protocol.
    4. Euthanize the mouse by perfusing heparinized saline through the left ventricle until blood is cleared out and the liver becomes pale. Perfuse the mouse with 10% neutral buffered formalin until complete mouse fixation is achieved.
      NOTE: A successfully perfused mouse will become stiff. The average perfusion time using the automated pump system is 5–7 min.
  2. Sample collection and preparation
    1. Isolate the knees by cutting the bone at mid-femur and mid-tibia and dissect the surrounding muscle tissue.
    2. Continue the fixation by storing knee joints in 10% neutral buffered formalin at room temperature for 24 h, then at 4 ˚C for 6 days.
    3. Decalcify the bone by storing the sample in EDTA decalcification buffer for 1 week at room temperature with mild shaking28. Change the decalcification buffer solution every 3 days.
      NOTE: Decalcification buffer was prepared by dissolving 140 g of ultrapure EDTA tetrasodium in a solution of 850 mL of distilled water plus 15 mL of glacial acetic acid. The buffer was pH equilibrated to 7.6 by dropwise addition of glacial acetic acid to the solution. Upon reaching pH = 7.6, the buffer was brought to 1 L total volume with distilled water. Decalcification buffer was prepared fresh and used within 1 week of preparation.
    4. Wash the knees with 50% ethanol, then 70% ethanol for 15 min each, then process for embedding.
      NOTE: Fluid transfer processing was performed by the Molecular and Histopathology Core at Penn State Milton S. Hershey Medical Center. Consult the institution’s histology core for recommendations on optimal sample processing.
    5. Embed the mouse knees in paraffin with the medial aspect of the joint facing the bottom surface of the paraffin block. Apply slight pressure to the tibial side of the joint during embedding to ensure tibial and femoral surfaces are as close to the same plane as possible.

3. Microtome sectioning and slide selection

  1. Microtome sectioning
    1. Use the plane adjustment knobs on the block holder of the microtome to ensure proper facing of the sample block.
    2. Face the paraffin block so that the distal aspect of the femur, proximal region of the tibia, and anterior and posterior horns of the medial meniscus appear in the same plane for section collection (Supplementary Figure 1A). Begin collecting sections on slides when the anterior and posterior horns of the medial meniscus begin to separate from one another.
    3. Ensure that the tibia, femur, and menisci appear in same plane by comparing structure sizes. The tibia and femur should be of comparable size, with both meniscal horns similar in size and shape (Supplementary Figure 1A). If a structure appears too large in comparison to its counterpart, this indicates that additional facing is needed. Importantly, confirm that the joint space remains intact.
    4. Take sagittal sections of the paraffin-embedded mouse knees through the medial joint compartment in 5 μm sections and collect the sections on slides. Collect approximately 30 sections per paraffin block.
  2. Slide selection
    1. Select three representative sections 50 μm apart for each sample starting from the fifth section (i.e., slides 5, 15, and 25). Selected slides will be used for subsequent staining, OARSI scoring, and histomorphometric analysis.
      NOTE: From a block with 30 total sections, select slides from the beginning (slides 5–10), middle (slides 15–20), and end (slides 25–30) of the set in order to clearly represent the entire sample. Select slides from similar levels of depth between samples.

4. Hematoxylin, Safranin Orange, and Fast Green staining

  1. Deparaffinize the selected slides with three changes of xylene. Hydrate the slides with two changes of 100% ethanol, two changes of 95% ethanol, and one change of 70% ethanol.
  2. Stain the slides with hematoxylin for 7 min then wash with running water for 10 min. Stain with Fast Green for 3 min and rinse in 1.0% glacial acetic acid for 10 s. Stain with Safranin-O for 5 min and quickly rinse by dipping in 0.5% glacial acetic acid.
  3. Rinse slides in two changes of distilled water and let air dry.
  4. Clear slides in three changes of xylene for 5 min each then mount with xylene-based mounting media and a coverslip.
    NOTE: Hematoxylin serves as the nuclear stain for identifying areas of bone marrow. Safranin-O is used to stain cartilage, proteoglycans, mucin, and mast cell granules. Fast Green is used as a counterstain for bone.

5. Slide imaging

  1. Image the Safranin-O and Fast Green stained slides using an available camera attached to a microscope and computer-based imaging software.
  2. Open the imaging software (see Table of Materials) and arrange the knee joint region of interest (ROI) in the center of the imaging window. If using a rotational microscope slide stage, align the slide so that the tibial surface spans the width of the horizontal axis of the imaging region.
  3. Set the white balance of the camera before beginning to image a set of samples (Supplementary Figure 2). Image the joint compartment at both 4x and 10x magnification, ensuring that both the tibial and femoral articular surface and tibial subchondral bone are included within each of the image ROIs (Supplementary Figure 1A, B). Save images for each of the three selected levels to be used for OARSI scoring.
    NOTE: Setting the white balance of the camera will depend on the software and camera systems being used. Generally, navigate to the Camera Tab or Main Imaging Menu and scroll down to Set White Balance. Select Set White Balance and a small cursor or icon should appear (Supplementary Figure 2A). Using the cursor, select an area within the image/sample that is free of stain, such as the joint space, to set the white balance.

6. Osteoarthritis research society international (OARSI) scoring15

  1. Randomize the three selected Safranin-O and Fast Green stained slides from all samples.
  2. Perform OARSI scoring in a blinded manner with three observers. Briefly, display one image at a time in a randomized order and allow three observers to score each image, correlating to one of the three levels selected for each sample.
    NOTE: Please refer to the OARSI scoring table for detailed descriptions of the grading scale15.
  3. Calculate the average score for each section using individual scores from each observer. Determine the average score per sample by taking the average score of the three representative sections.

7. Histomorphometric analysis

NOTE: Live images of the knee joint are viewed on a touchscreen monitor using a microscope camera, and a stylus is used to manually trace the ROIs. Built-in algorithms of the histomorphometry software quantify the specified parameters (see Protocol below) in the defined ROIs. Importantly, the same Safranin-O and Fast Green stained sections used in OARSI scoring are used for histomorphometric analysis.

  1. Software setup and measurement preparation
    1. Turn on microscope, camera, computer, and touchscreen monitor. Click on the Software Icon to launch the software program. Place the slide on the microscope stage for viewing.
    2. Center the sample within the measurement window. Ensure that the measurement grid is set to the proper magnification to match the objective being used on the microscope (Supplementary Figure 3).
    3. Go to the File tab at the top of the screen and scroll down to Read Settings. Open the Settings window and select the appropriate settings file for the parameters to be measured.
    4. Select the parameter to be measured from the list on the right hand side of the screen (Supplementary Figure 3). Use the stylus or mouse cursor to trace images according to steps described below in order to measure specific tissue ROIs. When completed with each measurement, Right Click to end the measurement and continue to the next parameter.
      NOTE: The list of parameters to be measured is created through a distinct preference file that is set up in consultation with the software company for the purpose of measuring the described ROIs. Please see discussion for further details regarding the complete setup.
    5. Complete all measurements and then navigate to the Summary Data tab at the bottom of the software screen (Supplementary Figure 3). Click on the screen window, hit the Insert key on the keyboard or copy and paste the data into a separate spreadsheet.
      NOTE: Perform histomorphometric analysis in a randomized and blinded manner. After completing all parameter measurements for all samples, organize the data and average the measurements from the three slides from each sample.
  2. Measurements of the total, calcified, and uncalcified cartilage areas
    NOTE: Use a commercially available software (see Table of Materials) to perform these steps. Please see Supplementary Figure 1B,C for clarification on cartilage regions, junctions, and subchondral bone regions discussed throughout this section.
    1. Draw a line across the superior edge of the tibial cartilage surface where the cartilage meets the joint space. Draw a second line at the chondro-osseous junction where the calcified cartilage meets the subchondral bone (Figure 1B). Use the software Area function to automatically obtain the total cartilage area measurement.
    2. Draw a line along the tidemark, a naturally occurring line separating the calcified and uncalcified regions of cartilage. Draw a second line at the chondro-osseous junction where the calcified cartilage meets the subchondral bone (Figure 1B). Use the software Area function to automatically obtain the calcified cartilage area measurement.
    3. Calculate the uncalcified cartilage area by subtracting the calcified cartilage area from the total cartilage area (Figure 1B).
  3. Determination of the chondrocyte number and phenotype
    1. Create separate count functions within the settings in the histomorphometry software to distinguish matrix producing and matrix nonproducing chondrocytes (Figure 1B).
    2. Determine the number of matrices producing or not producing chondrocytes by using the stylus to make a small dot over each chondrocyte expressing the specified phenotype (Figure 1B).
      NOTE: Count cells according to their phenotype as either matrix producing (i.e., strong Safranin-O staining) or matrix nonproducing (i.e., very faint or no Safranin-O staining).
  4. Measurement of the tibial articular surface perimeter
    1. Measure the absolute tibial articular surface perimeter by tracing a line across the surface of the tibial cartilage, carefully defining individual fibrillations (Figure 1C).
    2. Draw a second line along the tidemark to serve as an internal control for the plane of each section (Figure 1C).
    3. Calculate the tibial articular surface fibrillation index by dividing the tibial articular surface perimeter by the tidemark perimeter.
      NOTE: Tidemark perimeters are generally equal across samples, so the difference in the articular surface perimeters between sham and DMM was generally small whether absolute perimeter or fibrillation index were used.
  5. Measurement of the subchondral bone and marrow space areas
    1. Measure the subchondral marrow space area using the Area function by outlining regions in the subchondral region stained with hematoxylin only (i.e., negative for Fast Green) to determine total marrow space area within the subchondral bone. Draw lines around the perimeter of these areas to determine the total area of all marrow space within the tibial subchondral bone (Figure 2B).
    2. Measure the total subchondral area using the area function by outlining the region between the chondro-osseous junction and the superior border of the growth plate, extending laterally to the regions of the anterior and posterior osteophytes (Figure 2B).
    3. Calculate the subchondral bone area by subtracting the subchondral bone marrow space area from the total subchondral area (Figure 2B,C).
  6. Measurement of the anterior and posterior osteophyte areas
    1. To measure the osteophyte area, trace the anterior and posterior osteophytes of the proximal tibia using the Area function (Figure 2B,E,F).
      NOTE: Osteophytes are bony projections that form between the articular cartilage and the growth plate, anterior or posterior to the subchondral region. Osteophyte areas on the anterior and posterior sides of the tibia are determined by tracing the area anterior or posterior to the subchondral bone. The junction between the osteophytes and subchondral bone is clearly delineated by a line of cells extending from the articular cartilage to the growth plate. The junction between the osteophyte and synovium is defined by a transition between bony and fibrous tissue.
  7. Measurement of the synovial thickness
    1. Measure the anterior femoral synovial thickness using the Area function by drawing a line from the inner insertion point of the anterior synovium on the femur towards its attachment point on the meniscus (Figure 3B).
    2. Draw a second line from the outer insertion of the synovium on the femur towards its attachment to the meniscus (Figure 3B).
    3. Calculate the synovial thickness by dividing the total synovial area by the synovial perimeter.

8. Statistical analysis

  1. Collect the measured parameters and average the results from the three representative sections for each sample. Analyze the data using an unpaired Student’s t-test to compare two groups or one-way ANOVA to compare three or more groups.
  2. Display the data as mean ± standard error of mean.
    NOTE: Statistical significance was achieved at p ≤ 0.05.

Results

DMM-induced OA results in articular cartilage degeneration and chondrocyte loss
DMM-induced OA resulted in an increased OARSI score compared to sham mice, distinctly characterized by surface erosion and cartilage loss (Figure 1A,D). The histomorphometry protocol detailed here detected several OA-associated changes, including a decrease in total cartilage area and in the uncalcified cartilage area (Figure 1A,B

Discussion

Recent osteoarthritis research has enhanced our understanding of the crosstalk between the different tissues within the joint and the role each tissue plays in disease initiation or progression8,9,10,35,36. Accordingly, it has become obvious that the assessment of OA should not be limited to analysis of the cartilage but should also include analysis of the sub...

Disclosures

None

Acknowledgements

We would like to acknowledge the assistance of the Department of Comparative Medicine staff and the Molecular and Histopathology core at Penn State Milton S. Hershey Medical Center. Funding sources: NIH NIAMS 1RO1AR071968-01A1 (F.K.), ANRF Arthritis Research Grant (F.K.).

Materials

NameCompanyCatalog NumberComments
10% Buffered Formalin PhosphateFisher ChemicalSF100-20For sample fixation following harvest
Acetic Acid, Glacial (Certified A.C.S.)Fisher ChemicalA38S-212For Decalcification Buffer preparation and acetic acid solution preparation for staining
Cintiq 27QHD Creative Pen DisplayWacomhttps://www.wacom.com/en-es/products/pen-displays/cintiq-27-qhd-touchFor histomorphometric analysis and imaging
Cintiq Ergo standWacomhttps://www.wacom.com/en-es/products/pen-displays/cintiq-27-qhd-touchFor histomorphometric analysis and imaging
Ethylenediaminetetraacetic acid, tetrasodium salt dihydrate, 99%Acros OrganicsAC446080010For Decalcification Buffer preparation
Fast Green stainSIGMA Life SciencesF7258For sample staining
Fisherbrand Superfrost Plus Microscope SlidesFisher12-550-15For sample section collection
HistoPrep XyleneFisherbrandHC-700-1GALFor sample deparrafinization and staining
Histosette II Tissue Cassettes - Combination Lid and BaseFisher15-182-701AFor sample processing and embedding
HP Z440 WorkstationHPProduct number: Y5C77US#ABAFor histomorphometric analysis and imaging
Manual Rotary MicrotomeLeicaRM 2235For sample sectioning
Marking pensLeica3801880For sample labeling, cassettes and slides
OLYMPUS BX53 MicroscopeOLYMPUShttps://www.olympus-lifescience.com/en/microscopes/upright/bx53f2/For histomorphometric analysis and imaging
OLYMPUS DP 73 Microscope CameraOLYMPUShttps://www.olympus-lifescience.com/en/camera/color/dp73/For histomorphometric analysis and imaging (discontinued)
ORION STAR A211 pH meterThermo ScientificSTARA2110For Decalcification Buffer preparation
OsteoMeasure SoftwareOsteoMetricshttps://www.osteometrics.com/index.htmFor histomorphometric measurement and analysis
Perfusion Two Automated Pressure Perfusion systemLeicaModel # 39471005For mouse knee harvest
PRISM 7 SoftwareGraphPadInstitutional Access AccountStatistical Analysis
Safranin-O stainSIGMA Life SciencesS8884For sample staining
ThinkBoneStage - Rotating Microscope StageThink Bone Consulting Inc. - OsteoMetrics (supplier)http://thinkboneconsulting.com/index_files/Slideholder.phpFor histomorphometric analysis and imaging
Wacom Pro Pen StylusWacomhttps://www.wacom.com/en-es/products/pen-displays/cintiq-27-qhd-touchFor histomorphometric analysis and imaging
Weigerts Iron Hematoxylin AFisher5029713For hematoxylin staining
Weigerts Iron Hematoxylin BFisher5029714For hematoxylin staining

References

  1. Ma, V. Y., Chan, L., Carruthers, K. J. Incidence, prevalence, costs, and impact on disability of common conditions requiring rehabilitation in the United States: stroke, spinal cord injury, traumatic brain injury, multiple sclerosis, osteoarthritis, rheumatoid arthritis, limb loss, and back pain. Archives of Physical Medicine and Rehabililation. 95 (5), 986-995 (2014).
  2. Hopman, W., et al. Associations between chronic disease, age and physical and mental health status. Journal of Chronic Diseases in Canada. 29 (3), 108-116 (2009).
  3. Lorenz, J., Grässel, S., Singh, S., Coppola, V. Experimental osteoarthritis models in mice. Mouse Genetics. Methods in Molecular Biology. 1194, 401-419 (2004).
  4. Sophia Fox, A. J., Bedi, A., Rodeo, S. A. The basic science of articular cartilage: structure, composition, and function. Journal of Sports Health. 1 (6), 461-468 (2009).
  5. Van der Kraan, P., Van den Berg, W. Chondrocyte hypertrophy and osteoarthritis: role in initiation and progression of cartilage degeneration. Osteoarthritis and Cartilage. 20 (3), 223-232 (2012).
  6. Hodsman, A. B., et al. Parathyroid hormone and teriparatide for the treatment of osteoporosis: a review of the evidence and suggested guidelines for its use. Endocrine Reviews. 26 (5), 688-703 (2005).
  7. Pitsillides, A. A., Beier, F. Cartilage biology in osteoarthritis-lessons from developmental biology. Nature Reviews Rheumatology. 7 (11), 654 (2011).
  8. Yuan, X., et al. Bone-cartilage interface crosstalk in osteoarthritis: potential pathways and future therapeutic strategies. Osteoarthritis and Cartilage. 22 (8), 1077-1089 (2014).
  9. Goldring, S. R., Goldring, M. B. Changes in the osteochondral unit during osteoarthritis: structure, function and cartilage-bone crosstalk. Nature Reviews Rheumatology. 12 (11), 632 (2016).
  10. Martel-Pelletier, J., et al. Osteoarthritis. Nature Reviews Disease Primers. 2 (1), 16072 (2016).
  11. Goldring, M. B., Otero, M. Inflammation in osteoarthritis. Current Opinion in Rheumatology. 23 (5), 471 (2011).
  12. Sellam, J., Berenbaum, F. The role of synovitis in pathophysiology and clinical symptoms of osteoarthritis. Nature Reviews Rheumatology. 6 (11), 625 (2010).
  13. Ma, H., et al. Osteoarthritis severity is sex dependent in a surgical mouse model. Osteoarthritis and Cartilage. 15 (6), 695-700 (2007).
  14. Katon, W., Lin, E. H., Kroenke, K. The association of depression and anxiety with medical symptom burden in patients with chronic medical illness. General Hospital Psychiatry. 29 (2), 147-155 (2007).
  15. Glasson, S., Chambers, M., Van Den Berg, W., Little, C. The OARSI histopathology initiative-recommendations for histological assessments of osteoarthritis in the mouse. Osteoarthritis and Cartilage. 18, 17-23 (2010).
  16. Pastoureau, P., Leduc, S., Chomel, A., De Ceuninck, F. Quantitative assessment of articular cartilage and subchondral bone histology in the meniscectomized guinea pig model of osteoarthritis. Osteoarthritis and Cartilage. 11 (6), 412-423 (2003).
  17. O'Driscoll, S. W., Marx, R. G., Fitzsimmons, J. S., Beaton, D. E. Method for automated cartilage histomorphometry. Tissue Engineering. 5 (1), 13-23 (1999).
  18. Matsui, H., Shimizu, M., Tsuji, H. Cartilage and subchondral bone interaction in osteoarthrosis of human knee joint: a histological and histomorphometric study. Microscopy Research Technique. 37 (4), 333-342 (1997).
  19. Hacker, S. A., Healey, R. M., Yoshioka, M., Coutts, R. D. A methodology for the quantitative assessment of articular cartilage histomorphometry. Osteoarthritis and Cartilage. 5 (5), 343-355 (1997).
  20. Pastoureau, P., Chomel, A., DeCeuninck, F., Sabatini, M., Pastoureau, P. Methods for Cartilage and Subchondral Bone Histomorphometry. Cartilage and Osteoarthritis. Methods in Molecular Medicine. 101, 79-91 (2004).
  21. McNulty, M. A., et al. A comprehensive histological assessment of osteoarthritis lesions in mice. Cartilage. 2 (4), 354-363 (2011).
  22. Glasson, S., Blanchet, T., Morris, E. The surgical destabilization of the medial meniscus (DMM) model of osteoarthritis in the 129/SvEv mouse. Osteoarthritis and Cartilage. 15 (9), 1061-1069 (2007).
  23. Singh, S. R., Coppola, V. . Mouse Genetics: Methods and Protocols. , (2004).
  24. Fang, H., Beier, F. Mouse models of osteoarthritis: modelling risk factors and assessing outcomes. Nature Reviews Rheumatology. 10 (7), 413 (2014).
  25. Culley, K. L., Westendorf, J., van Wijnen, A., et al. Mouse Models of Osteoarthritis: Surgical Model of Posttraumatic Osteoarthritis Induced by Destabilization of the Medial Meniscus. Osteoporosis and Osteoarthritis. Methods in Molecular Biology. 1226, 143-173 (2015).
  26. Van der Kraan, P. Factors that influence outcome in experimental osteoarthritis. Osteoarthritis and Cartilage. 25 (3), 369-375 (2017).
  27. Gage, G. J., Kipke, D. R., Shain, W. Whole animal perfusion fixation for rodents. Journal of Visualized Experiments. (65), e3564 (2012).
  28. Callis, G., Sterchi, D. Decalcification of bone: literature review and practical study of various decalcifying agents. Methods, and their effects on bone histology. Journal of Histotechnology. 21 (1), 49-58 (1998).
  29. Lajeunesse, D., Massicotte, F., Pelletier, J. P., Martel-Pelletier, J. Subchondral bone sclerosis in osteoarthritis: not just an innocent bystander. Modern Rheumatology. 13 (1), 0007-0014 (2003).
  30. Li, G., et al. Subchondral bone in osteoarthritis: insight into risk factors and microstructural changes. Arthritis Research Therapy. 15 (6), 223 (2013).
  31. Kapoor, M., Martel-Pelletier, J., Lajeunesse, D., Pelletier, J. P., Fahmi, H. Role of proinflammatory cytokines in the pathophysiology of osteoarthritis. Nature Reviews Rheumatology. 7 (1), 33 (2011).
  32. Scanzello, C. R., Goldring, S. R. The role of synovitis in osteoarthritis pathogenesis. Bone. 51 (2), 249-257 (2012).
  33. Benito, M. J., Veale, D. J., FitzGerald, O., van den Berg, W. B., Bresnihan, B. Synovial tissue inflammation in early and late osteoarthritis. Annals of the Rheumatic Diseases. 64 (9), 1263-1267 (2005).
  34. De Lange-Brokaar, B. J., et al. Synovial inflammation, immune cells and their cytokines in osteoarthritis: a review. Osteoarthritis and Cartilage. 20 (12), 1454-1499 (2012).
  35. Findlay, D. M., Kuliwaba, J. S. Bone-cartilage crosstalk: a conversation for understanding osteoarthritis. Bone Research. 4, 16028 (2016).
  36. Lories, R. J., Luyten, F. P. The bone-cartilage unit in osteoarthritis. Nature Reviews Rheumatology. 7 (1), 43 (2011).
  37. Pritzker, K. P., et al. Osteoarthritis cartilage histopathology: grading and staging. Journal of Osteoarthritis and Cartilage. 14 (1), 13-29 (2006).
  38. Hayami, T., et al. Characterization of articular cartilage and subchondral bone changes in the rat anterior cruciate ligament transection and meniscectomized models of osteoarthritis. Bone. 38 (2), 234-243 (2006).
  39. Priemel, M., et al. mineralization defects and vitamin D deficiency: Histomorphometric analysis of iliac crest bone biopsies and circulating 25-hydroxyvitamin D in 675 patients. Journal of Bone and Mineral Research. 25 (2), 305-312 (2010).
  40. Yukata, K., et al. Continuous infusion of PTH 1–34 delayed fracture healing in mice. Scientific Reports. 8 (1), 13175 (2018).
  41. Kawano, T., et al. LIM kinase 1 deficient mice have reduced bone mass. Bone. 52 (1), 70-82 (2013).
  42. Zhang, L., Chang, M., Beck, C. A., Schwarz, E. M., Boyce, B. F. Analysis of new bone, cartilage, and fibrosis tissue in healing murine allografts using whole slide imaging and a new automated histomorphometric algorithm. Bone Research. 4, 15037 (2016).
  43. Wu, Q., et al. Induction of an osteoarthritis-like phenotype and degradation of phosphorylated Smad3 by Smurf2 in transgenic mice. Arthritis Rheumatism. 58 (10), 3132-3144 (2008).
  44. Hordon, L., et al. Trabecular architecture in women and men of similar bone mass with and without vertebral fracture: I. Two-dimensional histology. Bone. 27 (2), 271-276 (2000).

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