Skip to main content
Journal of Physical Therapy Science logoLink to Journal of Physical Therapy Science
. 2017 Apr 20;29(4):598–604. doi: 10.1589/jpts.29.598

Articular chondrocyte alignment in the rat after surgically induced osteoarthritis

Hideaki Takahashi 1,2,*, Hiroyuki Tamaki 1,2, Noriaki Yamamoto 1,3, Hideaki Onishi 1,2
PMCID: PMC5430255  PMID: 28533592

Abstract

[Purpose] Chondrocytes in articular cartilage are aligned as columns from the joint surface. Notably, loss of chondrocyte and abnormalities of differentiation factors give rise to osteoarthritis (OA). However, the relationship between chondrocyte alignment and OA progression remains unclear. This study was performed to investigate temporal alterations in surgically-induced OA rats. [Subjects and Methods] Thirteen-week-old Wistar rats (n=30) underwent destabilized medial meniscus surgery in their right knee and sham surgery in their left knee. Specimens (n=5) were collected at 0, 1, 2, 4 and 8 weeks after surgery. Histological analysis with Osteoarthritis Research Society International (OARSI) scores, cell density ratios, cell alignments and correlation between OARSI scores and cell density/alignment was performed. [Results] OARSI scores were significantly higher at 1, 2, 4 and 8 weeks in the DMM group than in the control. Cell density ratios were decreased significantly in the DMM group at 2, 4 and 8 weeks compared with the control. Chondrocyte alignment was decreased significantly in the DMM group at 4 and 8 weeks. There were negative correlations between OA severity and cell density / cell alignment. [Conclusion] The results suggest a relationship between chondrocyte alignment and cartilage homeostasis, which plays an important role in OA progression.

Keywords: Chondrocyte alignment, Osteoarthritis knee, Spatial autocorrelation

INTRODUCTION

Osteoarthritis (OA) is the most prevalent disease of arthritis which induces the joint pain and limits activity1). It is multi-factorial disease (e.g., genetic, aging, obesity and mechanical stimuli)2,3,4,5,6). These factors contribute to OA progression by either direct or indirect regulation the anabolic and catabolic pathways of the cartilage extracellular matrix (ECM)7,8,9). However, a fundamental treatment strategy has not been established to markedly alter OA progression because of our incomplete understanding of chondrocyte behavior.

To maintain the ECM in articular cartilage, the chondrocyte number is associated with anabolic and catabolic activities. An inappropriate activity balance leads to ECM degeneration and chondrocyte loss accompanied by apoptotic cell death during OA. Several previous studies show activation of the apoptosis cascade during OA10,11,12,13,14,15). Consequently, cell numbers decrease with OA progression16).

Understanding chondrocytes localization will help characterize cartilage homeostasis. Chondrocytes are aligned as regularly formed columns that are perpendicular to the joint surface and organized into four zonal layers: superficial zone (SZ), middle zone (MZ), deep zone (DZ) and calcified zone (CZ)17,18,19). The SZ includes numerous elongated and flattened chondrocytes. The MZ contains round chondrocytes called proliferative chondrocytes. The DZ and CZ contain hypertrophic chondrocytes. These zones are distinguished by a tide mark. Each chondrocyte grows in size with differentiation. Therefore, the zone-specific turnover relies on the differentiation phenotype and its localization.

Chondrocytes localization determines their differentiation that is influenced by multiple factors9). For instance, parathyroid hormone-related peptide (PTHrP) and Indian hedgehog (IHH) signaling play pivotal roles in not only differentiation but also controlling chondrocyte localization20, 21). IHH released from hypertrophic chondrocytes in the DZ drives differentiation in the same region of cells and facilitates PTHrP production by proliferative chondrocytes in the MZ. PTHrP acts to both facilitate proliferative chondrocyte division in the MZ and inhibit the IHH production in hypertrophic chondrocytes. This negative feedback loop plays an important role in each zonal homeostasis and their arrangement. Lin and colleagues revealed that high levels of IHH are associated with OA pathogenesis in humans and animal model22).

It remains unclear whether OA progression is related to chondrocyte alignment despite the possibility of losing differentiation control triggered by cell death. Studies have shown that chondrocytes are not aligned as columns in moderate OA according to qualitative observations23, 24). We have used a geographic information system (GIS) for quantitative assessment to determine the distribution of chondrocytes, which has been difficult to evaluate by common qualitative assessment. This useful system, which has been developed to analyze various aspects of the causal relationship between the position and space, can be applied to quantitative assessment. Furthermore, this geographic methodology has been widely used in several epidemiology studies25,26,27). In this study, we analyzed the relationship between OA progression and chondrocyte alignment using the GIS. Specifically, the GIS enabled evaluation of a cell alignment pattern whether similar cell sizes were clustered, dispersed or random (Fig. 1). To clarify the relationship, we examined temporal changes in the chondrocyte location as an important factor to maintain the articular cartilage in rats with surgically induced OA.

Fig. 1.

Fig. 1.

Schematic diagram of spatial autocorrelation

Higher positive Z-scores indicate similar clustered attributes (cell size). The more cell alignment becomes random, the closer the Z-score is to zero.

SUBJECTS AND METHODS

The study was approved by the Animal Committee of Niigata University of Health and Welfare. Thirty 10 weeks male Wistar rats (369 ± 21 g) were purchased from CLEA Japan, Inc. (Tokyo, Japan) and randomly housed at two animals per standard cage at 25 ± 1 °C, 55 ± 5% humidity, and a 12:12 h light:dark cycle. The animals had free access to a standard diet and tap water.

At 13 weeks-old, the animals were anesthetized with sodium pentobarbital (50 mg/kg). The medial meniscus ligament was resected to destabilize the medial meniscus on the right knee joint as described previously for the destabilized medial meniscus (DMM) model28). A similar procedure was performed on left knee for the sham group but without dissecting the medial meniscus ligament. Each animal was maintained under the same conditions at two per cage.

The animals were sacrificed at day 0 for the control (n=6) and at 1, 2, 4, or 8 weeks (n=6 each) after surgery under anesthesia. Tissue was fixed by 30 min perfusion with a fixation solution (4% paraformaldehyde in 0.1 mol/l phosphate buffer, pH 7.35) via the abdominal aorta. Both knee joint were harvested from the hind limbs and placed in the fixation solution at 4 °C for 24 h. Each specimen was decalcified in 0.1 mol/l Ethylenediaminetetraacetic acid for 6wks at 4 °C and then bisected frontally. Specimens were gradually dehydrated with 70, 80, 90, 95 and 100% ethanol for 24 hrs at 4 °C. Subsequently, the samples embedded in paraffin and then dewaxed in xylene. Frontal 5 μm serial sections were prepared from the middle part of knee joint. The sections were stained with Safranin-O-fast green and hematoxylin and eosin (H-E). All histological images included medial tibial plateaus (MTPs) as observed by light microscopy (DM1000LED; Leica, Germany), and captured by a digital CCD camera (DFC425; Leica, Germany). Safranin-O-fast green images were used to evaluate OA severity. The evaluation was performed according to the Osteoarthritis Research Society International (OARSI) scoring system within grade and stage29, 30). The scoring was performed by a single trained observer (HT) in a blinded fashion.

H-E images stained images were used to measure the chondrocyte density and alignment. The MTP is divided into four weight-bearing areas, and the region of interest was the third area from the anterior cruciate ligament insertion. Chondrocytes and total area were traced manually at ×400 magnification using ImageJ (NIH, USA). Chondrocyte densities were calculated as the number of cells divided by total articular cartilage area. To assess chondrocyte alignment, each chondrocyte coordinate from the center of mass and its size were measured using ImageJ. Thereafter, based on collected data of cell coordinates and sizes, the spatial autocorrelation were calculated using GIS software (Arc GIS 10.2.1; ESRI, CA, USA). We examined the spatial autocorrelation interaction between the cell location and associated attribute (cell size). Spatial autocorrelation has been proposed as a method to scale the distribution pattern. The data are shown as Z-score (Fig. 1). The more cell alignment becomes random, the closer the Z-score is to zero. Furthermore, the lager positive scores indicate a clustered cell alignment. Conversely, lager negative scores indicate a dispersed cell alignment. To determine the Z-score, we first calculated the Moran’s I by the following formula:

graphic file with name jpts-29-598-e001.jpg

(1)

Subsequently, a standardized normal variable was calculated as the Z-score using the following formula:

graphic file with name jpts-29-598-e002.jpg

(2)

E[I] and V[I] was calculated as follows:

E[I] = −1/(n−1) (3)

V[I] = E[I2]−E[I]2 (4)

OARSI score are expressed as the median and iterquartile ranges. Cell density data of the control as the standard were converted to cell density ratios. Z-scores are expressed as mean ± standard deviation (SD). Data were analyzed by Kruskal-Wallis test followed by the post-hoc Steel test. Differences between groups were evaluated using the post-hoc Steel test. Differences were considered significant at p<0.05. Correlations between OARSI scores and chondrocyte density, and OARSI scores and Z-scores were examined by Spearman’s partial rank correlation coefficient. P<0.01 was considered as a significant correlation. All statistical analyses were carried out using JMP® 12.2 (SAS Institute., Cary, NC, USA).

RESULTS

Figure 2 shows representative images of Safranin-O-fast green staining of MTPs at 0, 1, 2, 4 and 8 weeks after DMM surgery. Surface irregularity, and less safranin-O staining and cellularity from the articular cartilage surface were observed with longer morbidity. There was less staining and dissipation of surface chondrocytes from 2 weeks in the DMM group (Fig. 2I, L, O). In particular, at 4 and 8 weeks in the DMM group, less staining of more than three fourths and unequivocal dissipation of chondrocytes were observed at the lesion area (Fig. 2L, O). However, there was chondrocyte clustering in the proliferating zone only at 1 week in the DMM group (Fig. 2F). There were osteophytes at 4 and 8 weeks after the surgery (Fig. 2 J, M). Additionally, a subchondral cyst was confirmed immediately under the lesion at 4 weeks after surgery (Fig. 2 K). In contrast, control and sham groups showed no substantial differences.

Fig. 2.

Fig. 2.

Time course of histological section (medial tibial plateaus) in the control (A–C) and at 1 week (D–F), 2 weeks (G–I), 4 weeks (J–L), and 8 weeks (M–O) after DMM surgery: first row (×40, scale bars=200 μm); second row (×100, scale bars=200 μm); third row (×400, scale bars=50μm)

A representative safranin-O-stained section shows decreases in staining, the number of cells, and cell regularity from 2 weeks after surgery. White arrow shows subchondral bone cyst at 4 weeks after surgery.

Table 1 shows the alterations of OARSI scores, cell density ratios and Z-scores. OARSI scores were an exponential increase over time from day 0 to 4 weeks after DMM surgery. Thereafter, there was a slight increase from 4 to 8 weeks in the DMM group. OARSI scores were significantly higher at 1, 2, 4 and 8 weeks in the DMM group than in the control. In contrast, there were no significant differences between control and sham groups at any time point. The alteration of cell density ratios of MTPs using H-E stain were a slight increase at 1 week in the DMM group compared with the control but without significance. At 2 weeks in the DMM group, the cell density decreased suddenly and sharply at 1 week in the DMM group. Except at 1 week in the DMM group, comparisons between the control and DMM groups at 2, 4 and 8 weeks showed significant differences. To investigate the cell alignment, we applied H-E stained images to quantitative analysis using the spatial autocorrelation of GIS technology. Relative to the control, there was a significant decrease from 2 weeks to 8 weeks in the DMM group, respectively. In contrast, no significant differences were observed a between sham and control groups.

Table 1. Temporal changes of OARSI scores, cell density ratio and Z-scores in medial tibial plateau.

0w 1w 2w 4w 8w
OARSI Score
Control 0 (0–0)
Sham 0 (0–0) 0 (0–0) 0.25 (0–0.5) 0 (0–0.75)
DMM 0.75 (0.5–1.38)* 3.31 (0.94–6.06)* 10.5 (9.38–11.1)** 13.25 (9.75–15.63)**
Cell Density Ratio (/10,000 µm2)
Control 100%
Sham 114.4 ± 34.3% 117.2 ± 35.1% 110.2 ± 45.6% 109.2 ± 24.7%
DMM 129.8 ± 39.0% 61.0 ± 11.6%* 60.9 ± 16.9%* 43.4 ± 23.7%*
Z-Score
Control 6.27 ± 1.04
Sham 7.17 ± 1.04 6.93 ± 1.58 6.70 ± 2.90 6.86 ± 1.88
DMM 6.34 ± 2.80 3.32 ± 3.13* 2.89 ± 1.44* 3.16 ± 2.81*

OARSI scores are expressed as the median and iterquartile ranges. Cell density ratios are expressed as mean ± standard deviation compared with the control set at 100%. Z-scores are expressed as mean ± standard deviation. *p<0.05, **p<0.01 vs. control

The relationship between OARSI scores and chondrocyte density ratio in control, sham and DMM groups was evaluated using the Z-score corrected Spearman’s partial rank correlation coefficient that takes into account the third variable. Assessment of the relationship between OARSI scores and Z-scores was performed using the cell density ratio corrected to Spearman’s partial rank correlation coefficient. It showed a poor negative correlation between the OARSI score and chondrocyte density ratio (r=−0.41) (Fig. 3A). Similarly, there was a negative correlation between the OARSI score and Z-score (r=−0.62) (Fig. 3B).

Fig. 3.

Fig. 3.

Relationship between chondrocyte density, alignment and OARSI scores

(A) Adjusted correlation between the cell density ratio and OARSI score. OARSI score showed a poor negative correlation with the cell density ratio (r=−0.41). (B) Adjusted correlation between Z-scores and OARSI scores. Cell alignment decreased linearly with increasing OA severity (r=−0.62).

DISCUSSION

This study demonstrated that the organization of chondrocytes deteriorates with OA progression in DMM rats. Chondrocyte disorder began at relatively early stages of OA. Similarly, the cell density decreased dramatically with OA progression. Interestingly, all timings of dramatic alterations, disordered the cell alignment, hypocellularity, and OA progression, were similar. While OA progression occurred over time, the chondrocyte alignment and cellularity were invariant from 4 to 8 weeks after surgery. In addition, chondrocyte alignment was highly associated with the severity of OA compared with cell density. Hence, these results support spatial autocorrelation for articular cartilage evaluation and the OARSI scoring system. Moreover, the chondrocyte alignment was principal factor to maintain the ECM in articular cartilage.

Accumulation of overloading at MTPs induces upregulation of inflammatory mediator such as interleukin (IL)-1β and IL-6 in knee joint immediately after DMM surgery31). Subsequently, apoptotic cell death occurs at the SZ and MZ13, 15). Studies have shown that OA severity is associated with apoptosis, cartilage thickness and ECM contents13, 16, 32,33,34). Our results also showed less chondrocytes at the surface lesion such as the SZ and MZ in early stages of OA. Considering these results, this phenomenon appears to be due to apoptosis. Nevertheless, our data showed no chondrocyte loss at 1 week after surgery while the degeneration progressed. There was a time difference between the degree of degeneration in articular cartilage and chondrocyte viability. Almonte-Becerril et al. revealed that both apoptosis and autophagy are co-localized with chondrocytes in the SZ and MZ during the early stages of OA35). Similarly, we also confirmed that mammalian target of rapamycin (m-TOR), which is upstream of autophagy inhibition, was not expressed in early stages of OA, whereas m-TOR was expressed in hypertrophic chondrocytes at the late stages of OA (unpublished data). Indeed, a time lag existed between ECM degeneration, such as the appearance of fibrillation, and chondrocyte viability in the early stages of OA.

Chondrocyte disorder was also highly related to OA progression. Chondrocyte differentiation is regulated by multiple signaling pathways9, 36). One of the pathways controlling chondrocyte differentiations is the negative feedback loop of PTHrP and IHH signaling37). It is certain that healthy chondrocytes of articular cartilage are arranged as columns owing to an orderly differentiation program. Studies suggest that aggravating OA may be caused by hypertrophic differentiation because of upregulating hypertrophic makers such as runt-related transcription factor 2 (RUNX2), collagen type X (Col X), matrix metalloproteinase 13 (MMP13) and alkaline phosphatase (ALP)38). It has also been reported that IHH signaling proteins are highly upregulated in both OA patients and surgically induced OA model animals, which is accompanied by upregulation of a disintegrin and metalloproteinase with thrombospondin motifs 5 (ADAMTS-5), RUNX2, Col X and MMP1322). It appears that chondrocyte disorder in OA results from loss of cellularity in the SZ and MZ where it plays a role in inhibition of hypertrophic differentiation. Furthermore, the cause of chondrocyte disorder is considered to involve in gap junctions. Articular chondrocytes in the SZ communicate interactively though the gap junction protein connexin 43 for differentiation and metabolic homeostasis of the ECM31, 39, 40). The dynamic aggravation of OA coincides with chondrocyte disordering. Thus, loss of cellular location is presumed to be a driving factor in OA development. It also implies that ensuring crosstalk by maintaining each cell location is important to prevent OA development.

The initial major alteration occurred at 2 weeks after surgery. The decrease of cell density and alignment was −38.9% and −47% at 2 weeks after surgery compare with the control. Several studies have concluded that apoptosis is secondary to degeneration of articular cartilage in early stages of OA12, 13, 41). Other studies have shown that treatment of OA model animals with rapamycin, an inhibitor of m-TOR and activator of autophagy, reduces OA pathogenesis42, 43). In addition, hypertrophic chondrocytes activate degeneration of ECM and endochondral ossification44). Taken together, chondrocyte apoptosis in the SZ and MZ is a trigger of hypertrophic differentiation. The period of the onset was 2–4 weeks after surgery in our study. Note that reversing the differentiation after such a condition is impossible in vivo at present. Even though treatments delay the OA progression or symptoms, it is presumed to be difficult beyond this period. Therefore, we suggest that early detection and intervention are necessary with conservative treatment. We should focus on not only intervention method but also the period of appropriate therapeutic intervention. Three recent studies have demonstrated that pre or early potential preventive effect on human and animal model studies45,46,47).

In conclusion, our findings suggest that chondrocyte alignment in articular cartilage due to catabolic and anabolic reactions plays an important role in the OA progression. Moreover, the changes in chondrocyte density and alignment were not consistent. Hence, to prevent the OA progression, we need to consider with appropriate therapeutic interventions.

Acknowledgments

The authors thank Drs. Hiroki Iijima, Akira Ito, and Hiroshi Kuroki from Kyoto University for assistance with DMM surgery. This work was supported in part by a Grant-in-Aid for Scientific Research (KAKENHI grant nos. 26750204, 25282163, 16K13021).

REFERENCES

  • 1.Mesci N, Mesci E, Külcü DG: Association of neuropathic pain with ultrasonographic measurements of femoral cartilage thickness and clinical parameters in patients with knee osteoarthritis. J Phys Ther Sci, 2016, 28: 2190–2195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hashimoto H, Tanaka M, Suda T, et al. : Soluble Fas ligand in the joints of patients with rheumatoid arthritis and osteoarthritis. Arthritis Rheum, 1998, 41: 657–662. [DOI] [PubMed] [Google Scholar]
  • 3.Mototani H, Mabuchi A, Saito S, et al. : A functional single nucleotide polymorphism in the core promoter region of CALM1 is associated with hip osteoarthritis in Japanese. Hum Mol Genet, 2005, 14: 1009–1017. [DOI] [PubMed] [Google Scholar]
  • 4.Miyamoto Y, Mabuchi A, Shi D, et al. : A functional polymorphism in the 5′ UTR of GDF5 is associated with susceptibility to osteoarthritis. Nat Genet, 2007, 39: 529–533. [DOI] [PubMed] [Google Scholar]
  • 5.Pennock AT, Robertson CM, Emmerson BC, et al. : Role of apoptotic and matrix-degrading genes in articular cartilage and meniscus of mature and aged rabbits during development of osteoarthritis. Arthritis Rheum, 2007, 56: 1529–1536. [DOI] [PubMed] [Google Scholar]
  • 6.Messier SP: Obesity and osteoarthritis: disease genesis and nonpharmacologic weight management. Rheum Dis Clin North Am, 2008, 34: 713–729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chen J, Crawford R, Xiao Y: Vertical inhibition of the PI3K/Akt/mTOR pathway for the treatment of osteoarthritis. J Cell Biochem, 2013, 114: 245–249. [DOI] [PubMed] [Google Scholar]
  • 8.Ellman MB, Yan D, Ahmadinia K, et al. : Fibroblast growth factor control of cartilage homeostasis. J Cell Biochem, 2013, 114: 735–742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhong L, Huang X, Karperien M, et al. : The regulatory role of signaling crosstalk in hypertrophy of MSCs and human articular chondrocytes. Int J Mol Sci, 2015, 16: 19225–19247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hashimoto S, Takahashi K, Amiel D, et al. : Chondrocyte apoptosis and nitric oxide production during experimentally induced osteoarthritis. Arthritis Rheum, 1998, 41: 1266–1274. [DOI] [PubMed] [Google Scholar]
  • 11.Héraud F, Héraud A, Harmand MF: Apoptosis in normal and osteoarthritic human articular cartilage. Ann Rheum Dis, 2000, 59: 959–965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lozoya KA, Flores JB: A novel rat osteoarthrosis model to assess apoptosis and matrix degradation. Pathol Res Pract, 2000, 196: 729–745. [PubMed] [Google Scholar]
  • 13.Matsuo M, Nishida K, Yoshida A, et al. : Expression of caspase-3 and −9 relevant to cartilage destruction and chondrocyte apoptosis in human osteoarthritic cartilage. Acta Med Okayama, 2001, 55: 333–340. [DOI] [PubMed] [Google Scholar]
  • 14.Ryu JH, Shin Y, Huh YH, et al. : Hypoxia-inducible factor-2α regulates Fas-mediated chondrocyte apoptosis during osteoarthritic cartilage destruction. Cell Death Differ, 2012, 19: 440–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Turunen MJ, Töyräs J, Lammi MJ, et al. : Hyperosmolaric contrast agents in cartilage tomography may expose cartilage to overload-induced cell death. J Biomech, 2012, 45: 497–503. [DOI] [PubMed] [Google Scholar]
  • 16.Kamisan N, Naveen SV, Ahmad RE, et al. : Chondrocyte density, proteoglycan content and gene expressions from native cartilage are species specific and not dependent on cartilage thickness: a comparative analysis between rat, rabbit and goat. BMC Vet Res, 2013, 9: 62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.James CB, Uhl TL: A review of articular cartilage pathology and the use of glucosamine sulfate. J Athl Train, 2001, 36: 413–419. [PMC free article] [PubMed] [Google Scholar]
  • 18.Sophia Fox AJ, Bedi A, Rodeo SA: The basic science of articular cartilage: structure, composition, and function. Sports Health, 2009, 1: 461–468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zhang X, Blalock D, Wang J: Classifications and definitions of normal joints. Osteoarthritis-progress in Basic Research and Treatment (2015), 2015. [Google Scholar]
  • 20.Vortkamp A, Lee K, Lanske B, et al. : Regulation of rate of cartilage differentiation by Indian hedgehog and PTH-related protein. Science, 1996, 273: 613–622. [DOI] [PubMed] [Google Scholar]
  • 21.Chung U, Kronenberg HM: Parathyroid hormone-related peptide and Indian hedgehog. Curr Opin Nephrol Hypertens, 2000, 9: 357–362. [DOI] [PubMed] [Google Scholar]
  • 22.Lin AC, Seeto BL, Bartoszko JM, et al. : Modulating hedgehog signaling can attenuate the severity of osteoarthritis. Nat Med, 2009, 15: 1421–1425. [DOI] [PubMed] [Google Scholar]
  • 23.Giunta S, Castorina A, Marzagalli R, et al. : Ameliorative effects of PACAP against cartilage degeneration. Morphological, immunohistochemical and biochemical evidence from in vivo and in vitro models of rat osteoarthritis. Int J Mol Sci, 2015, 16: 5922–5944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Szychlinska MA, Trovato FM, Di Rosa M, et al. : Co-expression and co-localization of cartilage glycoproteins CHI3L1 and lubricin in osteoarthritic cartilage: morphological, immunohistochemical and gene expression profiles. Int J Mol Sci, 2016, 17: 359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Duncan DT, Castro MC, Gortmaker SL, et al. : Racial differences in the built environment—body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods. Int J Health Geogr, 2012, 11: 11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Insaf TZ, Talbot T: Identifying areas at risk of low birth weight using spatial epidemiology: a small area surveillance study. Prev Med, 2016, 88: 108–114. [DOI] [PubMed] [Google Scholar]
  • 27.Gartner DR, Taber DR, Hirsch JA, et al. : The spatial distribution of gender differences in obesity prevalence differs from overall obesity prevalence among US adults. Ann Epidemiol, 2016, 26: 293–298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Glasson SS, Blanchet TJ, Morris EA: The surgical destabilization of the medial meniscus (DMM) model of osteoarthritis in the 129/SvEv mouse. Osteoarthritis Cartilage, 2007, 15: 1061–1069. [DOI] [PubMed] [Google Scholar]
  • 29.Pritzker KP, Gay S, Jimenez SA, et al. : Osteoarthritis cartilage histopathology: grading and staging. Osteoarthritis Cartilage, 2006, 14: 13–29. [DOI] [PubMed] [Google Scholar]
  • 30.Gerwin N, Bendele AM, Glasson S, et al. : The OARSI histopathology initiative—recommendations for histological assessments of osteoarthritis in the rat. Osteoarthritis Cartilage, 2010, 18: S24–S34. [DOI] [PubMed] [Google Scholar]
  • 31.Burleigh A, Chanalaris A, Gardiner MD, et al. : Joint immobilization prevents murine osteoarthritis and reveals the highly mechanosensitive nature of protease expression in vivo. Arthritis Rheum, 2012, 64: 2278–2288. [DOI] [PubMed] [Google Scholar]
  • 32.Thomas CM, Fuller CJ, Whittles CE, et al. : Chondrocyte death by apoptosis is associated with cartilage matrix degradation. Osteoarthritis Cartilage, 2007, 15: 27–34. [DOI] [PubMed] [Google Scholar]
  • 33.Kotwal N, Li J, Sandy J, et al. : Initial application of EPIC-μCT to assess mouse articular cartilage morphology and composition: effects of aging and treadmill running. Osteoarthritis Cartilage, 2012, 20: 887–895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bagi CM, Zakur DE, Berryman E, et al. : Correlation between μCT imaging, histology and functional capacity of the osteoarthritic knee in the rat model of osteoarthritis. J Transl Med, 2015, 13: 276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Almonte-Becerril M, Navarro-Garcia F, Gonzalez-Robles A, et al. : Cell death of chondrocytes is a combination between apoptosis and autophagy during the pathogenesis of Osteoarthritis within an experimental model. Apoptosis, 2010, 15: 631–638. [DOI] [PubMed] [Google Scholar]
  • 36.Wang M, Shen J, Jin H, et al. : Recent progress in understanding molecular mechanisms of cartilage degeneration during osteoarthritis. Ann N Y Acad Sci, 2011, 1240: 61–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chen X, Macica CM, Nasiri A, et al. : Regulation of articular chondrocyte proliferation and differentiation by Indian hedgehog and parathyroid hormone-related protein in mice. Arthritis Rheum, 2008, 58: 3788–3797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.van der Kraan PM, van den Berg WB: Chondrocyte hypertrophy and osteoarthritis: role in initiation and progression of cartilage degeneration? Osteoarthritis Cartilage, 2012, 20: 223–232. [DOI] [PubMed] [Google Scholar]
  • 39.Chi SS, Rattner JB, Matyas JR: Communication between paired chondrocytes in the superficial zone of articular cartilage. J Anat, 2004, 205: 363–370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Hansson E, Skiöldebrand E: Coupled cell networks are target cells of inflammation, which can spread between different body organs and develop into systemic chronic inflammation. J Inflamm (Lond), 2015, 12: 44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.McCulloch RS, Ashwell MS, Maltecca C, et al. : Progression of gene expression changes following a mechanical iInjury to articular cartilage as a model of early stage osteoarthritis. Arthritis (Egypt), 2014, 2014: 371426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Caramés B, Hasegawa A, Taniguchi N, et al. : Autophagy activation by rapamycin reduces severity of experimental osteoarthritis. Ann Rheum Dis, 2012, 71: 575–581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Takayama K, Kawakami Y, Kobayashi M, et al. : Local intra-articular injection of rapamycin delays articular cartilage degeneration in a murine model of osteoarthritis. Arthritis Res Ther, 2014, 16: 482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Sun MM, Beier F: Chondrocyte hypertrophy in skeletal development, growth, and disease. Birth Defects Res C Embryo Today, 2014, 102: 74–82. [DOI] [PubMed] [Google Scholar]
  • 45.Iijima H, Aoyama T, Ito A, et al. : Effects of short-term gentle treadmill walking on subchondral bone in a rat model of instability-induced osteoarthritis. Osteoarthritis Cartilage, 2015, 23: 1563–1574. [DOI] [PubMed] [Google Scholar]
  • 46.Cho SY, Roh HT: Effects of aerobic exercise intervention on serum cartilage oligomeric matrix protein levels and lymphocyte dna damage in obese elderly females. J Phys Ther Sci, 2016, 28: 1892–1895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Musumeci G, Castrogiovanni P, Trovato FM, et al. : Physical activity ameliorates cartilage degeneration in a rat model of aging: a study on lubricin expression. Scand J Med Sci Sports, 2015, 25: e222–e230. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Physical Therapy Science are provided here courtesy of Society of Physical Therapy Science

RESOURCES