Skip to main content
Osteoarthritis and Cartilage Open logoLink to Osteoarthritis and Cartilage Open
. 2021 Dec 15;4(1):100227. doi: 10.1016/j.ocarto.2021.100227

Effect of knee joint loading on chondrocyte mechano-vulnerability and severity of post-traumatic osteoarthritis induced by ACL-injury in mice

Alexander Kotelsky a,b,c, Anissa Elahi d, Can Nejat Yigit a, Ashley Proctor a, Sandeep Mannava c,e, Christoph Pröschel d, Whasil Lee a,b,c,e,
PMCID: PMC9718206  PMID: 36474470

Abstract

Objective

The objective of this study is to understand the role of altered in vivo mechanical environments in knee joints post anterior cruciate ligament (ACL)-injury in chondrocyte vulnerability against mechanical stimuli and in the progression of post-traumatic osteoarthritis (PT-OA).

Methods

Differential in vivo mechanical environments were induced by unilateral ACL-injury (uni-ACL-I) and bilateral ACL-injury (bi-ACL-I) in 8-week-old female C57BL/6 mice. The gait parameters, the mechano-vulnerability of in situ chondrocytes, Young's moduli of cartilage extracellular matrix (ECM), and the histological assessment of OA severity (OARSI score) were compared between control and experimental groups at 0∼8-weeks post-ACL-injury.

Results

We found that bi-ACL-I mice experience higher joint-loading on their both injured limbs, but uni-ACL-I mice balance their joint-loading between injured and uninjured hind limbs resulting in a reduced joint-loading during gait. We also found that at 4- and 8-week post-injury the higher weight-bearing hind limbs (i.e., bi-ACL-I) had the increased area of chondrocyte death induced by impact loading and higher OARSI score than the lower weight-bearing limbs (uni-ACL-I). Additionally, we found that at 8-weeks post-injury the ECM became stiffer in bi-ACL-I joints and softer in uni-ACL-I joints.

Conclusions

Our results show that ACL-injured limbs with lower in vivo joint-loading develops PT-OA significantly slower than injured limbs with higher joint-loading during gait. Our data also indicate that articular chondrocytes in severe PT-OA are more fragile from mechanical impacts than chondrocytes in healthy or mild PT-OA. Thus, preserving physiologic joint-loads on injured joints will reduce chondrocyte death post-injury and may delay PT-OA progression.

Keywords: Post-traumatic osteoarthritis (PT-OA), Anterior cruciate ligament (ACL)-injury, Chondrocyte death, Extracellular matrix (ECM), Gait analysis

1. Introduction

Joint injury is a major risk factor of symptomatic osteoarthritis (OA), a prevalent and debilitating condition of load-bearing joints characterized by progressive degeneration of cartilage extracellular matrix (ECM) [1,2]. Anterior cruciate ligament (ACL)-tear is the most common knee injury and more than 50% of ACL-injury patients develop post-traumatic (PT)-OA within 5–20 years post-injury regardless of whether or not they have ACL-reconstruction surgery [[3], [4], [5]]. Unfortunately, the majority of injuries occur in young adults between the ages of 15 and 24 [6,7], and these young adults with ACL injuries are more likely to develop OA before the age of 40 [8,9]. Risk of ACL-revision surgery is especially pronounced in younger patients, who are subject to multiple revision surgeries over a lifetime, and who may have only options of surgical total knee joint replacement to treat PT-OA [10]. The hallmark of ACL-injury is knee joint destabilization. ACL, a ligament directly connecting the femur to the tibia, stabilizes the knee joint in the anterior-posterior direction, prevents anterior-tibial subluxation, and provides rotational stability. A sudden turn or non-contact mechanism typically causes an ACL tear resulting in knee subluxation, pivot shift, and joint instability manifested in altered joint kinematics and gait patterns [11,12].

Mechanical factors heavily influence chondrocyte’ biosynthetic activities and ECM homeostasis, and chondrocyte mechanotransduction plays a critical role in the pathogenesis of OA [1]. The ACL-injury-induced abnormal mechanical loading is presumed to contribute to OA progression. In addition, ACL-injuries often lead to more severe OA progression due to the concomitant damages to the meniscus, other ligaments, or articular cartilage [[13], [14], [15]]. Furthermore, contralateral non-injured knee joints have high risks of joint injuries due to the compensatory aberrant joint loading [16,17], and 12% of ACL-injured patients have recurring ACL ruptures in their contralateral knees within 2–5 years post-injury [18]. These traumatic scenarios may cause differential degrees of abnormal mechanical stimuli leading to diverse rates of PT-OA progression.

Increased chondrocyte apoptosis has been observed in injured joints by histological assessment in PT-OA studies [[19], [20], [21]], and promoting chondrocyte survival after joint injury may delay cartilage degradation [[22], [23], [24]]. It is important to understand how the abnormal in vivo mechanical loads influence chondrocyte viability or susceptibility post-injuries. The ability of chondrocytes to withstand injurious forces, termed ‘mechano-vulnerability’, depends on mechano-sensitivity of chondrocytes and mechanical properties of the ECM. Currently, a limited information exists about the effects of injurious/traumatic in vivo loading on chondrocyte viability, and the mechanical properties of ECM have not been studied over the PT-OA progression post-ACL-I.

Here, we investigate the extent to which alterations in in-vivo mechanical loading environments impact chondrocyte mechano-vulnerability in ACL-injured knees using a non-invasive ACL injury mouse model. The alterations in in vivo mechanical environment were induced through unilateral (uni-ACL-I) and bi-lateral (bi-ACL-I) ACL injuries of hind legs. We found that bi-ACL-I mice experienced higher weight-bearing in their hind paws during the gait as compared to uni-ACL-I mice. We also found that articular cartilage of ACL-injured mice with higher weight-bearing (i.e., bi-ACL-I) had more severe cartilage degradation with higher OARSI and synovitis scores and more mechanically-vulnerable chondrocytes as compared to injured mice with lower gait-associated weight-bearing (i.e., uni-ACL-I). Our findings demonstrate that it is critical to avoid abnormal joint mechanics and reduce chondrocyte mechano-sensitivity post-ACL-I as a potential treatment aimed to delay or halt PT-OA progression.

2. Methods

2.1. Non-invasive ACL injuries

We examined female mice considering the relatively understudied PT-OA in females despite a higher risk of PT-OA and ACL-tear in females than males [7,[25], [26], [27], [28]]. PT-OA was induced by a non-invasive ACL-injury [29] in 8–10-week-old female C57BL/6 mice unilaterally (injury in one knee) or bilaterally (injuries in both knees). We adopted methods established in Redeo laboratories ​and ​observed ​similar patterns of cartilage degradation at 4-weeks post-injury. Briefly, mice received subcutaneously administered analgesic (0.5 ​mg/kg sustained release formulation buprenorphine) 1–6 ​h prior to the ACL injuries. During the procedure, mice were anesthetized with a 1–3% isoflurane inhalation at 2–3 ​L/min oxygen flow rate. The anesthetized mice were placed on a custom-built Styrofoam platform, and a custom-built strain gauge-instrumented probe (Fig. 1a–b) was placed onto the skin over the patellar tendon. An axial force was manually applied to the distal femur along the axis of the femoral shaft. The temporal force profiles were recorded using an Arduino system. The average rupture force was 14.2 ​± ​0.3 ​N and the loading rate was 1.52 ​± ​0.05 ​N/s (n ​= ​94 limbs) (Fig. 1d-e). Mice had positive Lachman tests and X-ray images were acquired immediately after the procedure to ensure that the injury had not caused a fracture of the tibia or femur. In addition, we quantitatively confirmed ACL-tear by assessing a degree of knee joint laxity by a drawer test (see Supplemental Material). Mice were monitored for 3 days for signs of pain. This procedure was approved by the University of Rochester Committee on Animal Resources (UCAR). (see Supplemental Material Section 3-4 and Section 9).

Fig. 1.

Fig. 1

Non-invasive ACL-injury method and study design. (a) Schematic representation and (b) a representative figure of the experimental setup where the ACL injuries were induced by applying axial force along the femoral shaft until the force drop using a custom-built strain gauge-instrumented device. The method was adapted from [Zhang 2020]. (c) Representative force-time curve obtained during the ACL injury procedure. The rupture force is indicated by the arrow, and the dashed line indicates linear curve fit from which the loading rate was calculated. (d, e) Quantification of ACL rupture force and loading rate. Each data point represents ACL injured limb and red line denotes the mean of the data. (f) Study design. ACL injuries were performed on either one knee joint (uni-ACL-I group), or on both knee joints (bi-ACL-I group) in 8-9-week-old female C57BL/6 mice. Gait, cell vulnerability, mechanical properties, and histological analysis were assessed at different timepoints post ACL injury. (g-k) Histological evaluation of articular cartilage in murine knee joints in 3 experimental groups (Control, bi-ACL-I, uni-ACL: injured and contralateral uninjured) at 4-, and 8- weeks post ACL-I timepoints. (g) (Top panel) Representative SaFO/FG-stained sagittal histological sections of medial side of mouse knee joints in control, bi-ACL-I, uni-ACL-I, and the contralateral uni-ACL-uninjured 8 weeks post ACL injury. (Bottom panel) Higher magnification of the injury site. Significant articular cartilage degradation (arrow) is evident on the bi-ACL injured knee, indicative of PTOA. Tissue calcification (∗) was also observed on the uni-ACL-injured knees. A and P denote anterior and posterior direction of a knee joint. Scale bar is 200 ​mm. (hk) Semiquantitative assessment of cartilage degradation on mouse (h, j) distal femurs and (i, k) proximal tibias using OARSI scoring system (n ​= ​3–4 mice/group) for all experimental groups at 4- and 8-week post injury timepoints. Each data point represents (h, i) summed or (j, k) maximum OARSI scores performed by 4 individuals blinded to the study. Higher OARSI scores (max sum ​= ​24, max ​= ​6) indicate a higher degree of cartilage degradation. (l) Representative micrographs of SaFO/FG-stained histological sections focused on the posterior region of medial condyle of the distal femur at 8-week post-injury timepoint. Synovial thickening is the most prominent in bi-ACL-I, followed by uni-ACL-I group. (m) Quantification of synovium thickening for all experimental groups at 4- and 8-week post injury timepoints. 0: 1–2 ​cell layers, 1: 2–3 ​cell layers, 2: 4–5 ​cell layers, 3: >5 ​cell layers. OARSI and synovitis scores were compared using a Two-way ANOVA with a post-hoc Tukey test. Data are mean ​± ​SEM. p ​≤ ​0.05 indicates statistical difference between the groups.

2.2. Gait analysis

Alteration in mouse gait post-ACL-I was assessed by Noldus CatWalk XT automated gait analysis system (Noldus Information Technology, XT10.6) [30]. Briefly, a mouse walked across an enclosed space on top of a 50 ​cm long glass plate illuminated by an internally reflected green LED light. Below the glass, a high-speed color camera captured green light refraction of the illuminated mouse paw prints when the paw touched the glass. Red light illuminated the top of the glass plate to capture mouse silhouette during the gait (Fig. 2a–b). Each mouse walked 3 compliant runs with a run variance below 65%. Gait analysis was performed longitudinally at 4- and 8-weeks post-injury (n ​= ​6/group). The hindlimb maximum Contact Mean Intensity (maxCMI) [30,31] was measured from the captured timeframe with the most intense pixels of the paw prints during a mouse's gait cycle indicating max mouse weight-bearing. The maxCMI of left and right hind limbs in bi-ACL-I group were averaged and compared to other groups. The Base of Support, a vertical distance between the hind limbs during the gait, was also measured to quantify mouse posture (Fig. 2e–f). The Stand mean, a contact duration of hind paws on the walkway glass, was compared between groups (Fig. S1). There was no difference in average mouse weight or running speed between uni-ACL-I and bi-ACL-I mice (Fig. 2d, g).

Fig. 2.

Fig. 2

Bi-ACL-I and uni-ACL-I exhibit distinct weight bearing during locomotion. (a) Representative snapshot of intensity of mouse paw-prints on illuminated platform of a Noldus CatWalk XT system during gait analysis. (b)Representative snapshots of hind paw-print intensities at 8-weeks post-injury in different experimental groups. See supplemental videos of representative 3D contact intensity plots during mouse locomotion. (c) Quantification of maximum contact mean intensity in experimental and control groups. Note that in bi-ACL-I and uninjured control mice max contact mean intensities were averaged for both hind limbs per mouse, while uni-ACL-I and uni-ACL-uninjured hindlimbs were treated separately. (d) Average mouse speed in 3 experimental groups (Control, bi-ACL-I, uni-ACL-I) at 4- and 8-weeks post-ACL-I. (e) Representative micrograph of a mouse on a CatWalk platform with the indicated base of support as the width between mouse hindlimbs during locomotion, and (f) quantification of mean base of support. (g) Measurement of mouse mass in bi-ACL-I and uni-ACL-I groups prior to gait analysis at 4- and 8-weeks post-injury. 6 mice per group were used to longitudinally assess their gait. Contact intensities, average speeds, base of support, and mouse mass were compared using repeated measures Two-way ANOVA with a post-hoc Tukey test. Data are mean ​± ​SEM. p ​≤ ​0.05 indicates statistical difference between the groups.

2.3. Mechano-vulnerability assay (impact-induced chondrocyte LIVE/DEAD assay)

We quantified the vulnerability of chondrocytes on the lateral femoral condyles by 1 ​mJ impact [32]. Briefly, distal femurs with intact cartilage (cartilage-on-bone explants) were dissected at 0-, 4- and 8-week post ACL-I time-point,stained with calcein-AM and Propidium Iodide (PI) (R37601, Invitrogen), positioned in our custom-built impact device (Fig. 3a), then subjected to a 1 ​mJ kinetic energy on the patello-femoral groove. Chondrocytes on the lateral femoral condyles were z-stack imaged by a confocal microscope (FV3000, Olympus, UPlanSApo 10X/0.40 NA dry) before and after the impact. After the impact, specimens were re-stained with PI, an indicator of injured/dead cells, and re-imaged. Chondrocytes that lost calcein-labeling and became PI-positive were considered to be injured/dead, and the area of injured cells was quantified using ImageJ. (see supplemental material for the detailed method).

Fig. 3.

Fig. 3

Chondrocytes in bi-ACL-I mice are more vulnerable than in uni-ACL-I mice. (a) Schematic representation of mechano-vulnerability experimental setup. Vitally stained in situ chondrocytes on lateral condyles of harvested distal femurs were imaged before and after the application of 1 ​mJ kinetic energy impacts. A zoomed-in inset shows a view of femoral condyles in the imaging plane where an impact-induced cell death is analyzed on the lateral condyles. (b, c) Representative z-projections of confocal micrographs of live/dead (green/red) chondrocytes acquired (b) before and (c) after the impact at 8 weeks post injury. Yellow contours in (c) indicate areas of injured/dead cells due to the applied 1 ​mJ impact. The scale bars are 50 ​mm. (d) Quantification of impact-induced areas (within yellow contours) of injured cells on surface of lateral femoral condyles in the experimental groups at 4- and 8-weeks post ACL-I time-points (n ​= ​6–9 limbs/group). The areas were compared using a Two-way ANOVA with a post-hoc Tukey test. Data are mean ​± ​SEM. p ​≤ ​0.05 indicates statistical difference between the groups.

2.4. Mechanical properties of articular cartilage

A confocal microscope-based inverse finite element method (iFEM) [33] was used to quantify the altered intrinsic stiffness (Young's Modulus) of the ECM at 8-weeks post-injury. In brief, distal femurs were stained with 5′-DTAF (Sigma-Aldrich) to label the cartilage ECM, and placed on a cover glass of a custom-built mechanical device above a confocal microscope (Olympus FV3000, LUCPLFLN 40X NA ​= ​0.6) (Fig. 2a). Confocal z-stacks of lateral femoral condyles were obtained before (baseline) and 5 ​min after applying a static load of 0.1 ​N (0.31 μm/pixel in xy-plane and 0.89 μm/slice in z-plane). The acquired confocal z-stacks were used to obtain thickness ratios (i.e., compressive tissue stretch λz), maps of the infinitesimal tissue strain (εz=1thicknessratio), and peak compressive strains (strains within 5 ​μm from the peak compressive strain). The compression experiments were simulated in FEBio using 3D FEMs [34] to determine the Young's modulus of the femoral ECM in different experimental groups (see supplemental material for detailed methods).

2.5. Histological evaluation

After 4- and 8-weeks post-injury, mouse tibio-femoral joints were fixed in 10% formalin, decalcified, and embedded in paraffin. Sagittal sections (7 ​μm thick) of medial knee joints were stained with Safranin-O/Fast Green (Saf-O/FG, Applied Biosciences), and imaged by Virtual Slide Microscope System (Olympus VS120, 40X dry). Osteoarthritis Histopathology Assessment System (OARSI) scores [35] of femur and tibia cartilage are assessed. Summed and maximum OARSI scores performed by 4 individuals blinded to the study. Higher OARSI scores (max sum ​= ​24, max ​= ​6) indicate a higher degree of cartilage degradation. In addition, synovitis scores also assessed by quantifying synovial lining in the region of posterior femur using on SaF-O/FG-stained sagittal histological sections in blinded-manner (Table S1).

2.6. Statistical analyses

Cell death areas and OARSI score were compared between the experimental groups using a Two-way Analysis of Variance (ANOVA) with a post-hoc Tukey test. MaxCMI, Base of Support and mouse mass were compared across experimental groups using repeated measures Two-way ANOVA with a post-hoc Tukey test. Compressive strains and Young's moduli of ECM were compared using a One-way ANOVA with a post-hoc Tukey test. Statistical differences were detected at a significance level (α) of 0.05.

3. Results

To investigate the role of in vivo loading in PT-OA development post-ACL-I, we compared gait parameters of hind limbs, mechano-vulnerability of articular chondrocytes in situ, mechanical properties of the ECM, and OARSI score in experimental groups: mice without injury (Group 1: uninjured controls), mice with bilateral ACL injury (Group 2: bi-ACL-I), and mice with a unilateral ACL injury, where the contralateral knee joints served as the unilateral uninjured controls (Group 3: uni-ACL-uninjured, Group 4: uni-ACL-I) at 0–8 weeks post-injury (Fig. 1f–i).

3.1. Bilaterally ACL-injured mice experience higher weight-bearing in their hind limbs during the gait than unilaterally ACL-injured mice

We first found that the bi-ACL-I joints exhibit significantly increased hindlimb maxCMI [[30], [31]] during locomotion as compared to uni-ACL-I mice and uninjured control group at both 4- and 8-week post-injury (Fig. 2a–b; week 4: 102.4 ​± ​1.98 a.u. vs. 72.3 ​± ​1.54 a.u., week 8: 88.3 ​± ​3.72 a.u. vs. 70.8 ​± ​1.67 a.u., mean ​± ​SEM). In contrast, uni-ACL-I joints exhibit a transiently increased maxCMI only at 4-week (93.7 ​± ​2.45 a.u.) but not at 8-week post-injury (73.5 ​± ​1.16 a.u.) as compared to the uninjured control group. Interestingly, contralateral uni-ACL-uninjured joints exhibit similar levels of joint loading at both 4- and 8-week post-injury (Fig. 2a–b). Next, there were noticeable alterations in mouse posture during the gait in terms of the Base of Support, the vertical distance between mouse hind limbs. Bi-ACL injured mice had a narrower Base of Support as compared to uninjured control mice, while mice in the uni-ACL group had a Base of Support similar to the uninjured controls (Fig. 2c). The average duration of the mouse paw print (stand mean) was similar across all experimental groups and time-points (Supplemental materials). We note that the walking speed and bodyweight of bi-ACL-I and uni-ACL-I mice were similar for the entire course of the experiment (4- and 8-weeks post-injury). The joint contact forces (JCF) are expected to be substantially higher than the ground reaction forces (GRF) in mouse hind paws due to muscle forces and inertia, and we assume that muscle forces are unchanged by ACL injuries. The JCF depends on mouse speed and GRF. With comparable gait speed in uni- and bi-ACL-I mice, the paw pressure-dependent maxCMI can reveal relative JCF between two injured groups. These differential data of maxCMI and Base of Support reveal that the injured cartilage in bi-ACL-I joints experiences higher in vivo joint-loading and more significant mechanical instability during gait than injured cartilage in uni-ACL-I.

3.2. In situ chondrocytes in bi-ACL-I joints are more vulnerable to impact loading than chondrocytes in uni-ACL-I or uninjured joints

Chondrocyte survival is implicated in the pathogenesis of PT-OA, and cell viability and metabolism under physiologic and pathophysiologic mechanical environments is crucial for cartilage remodeling and homeostasis. Therefore, we quantified areas of chondrocyte death in load-bearing cartilage on femoral condyles induced by application of injurious 1 ​mJ impacts onto isolated cartilage-on-bone explants (Fig. 3a) [32]. This assay examines the mechano-vulnerability of in situ chondrocytes in load-bearing femoral cartilage, and the quantified areas of dead cells are presumed to represent the resilience of load-bearing chondrocytes against injuries in vivo. Interestingly, we found that bi-ACL-I group exhibits the largest areas of cell death induced by impact loading at both 4- and 8-weeks post-injury. This result indicates that chondrocytes in bi-ACL-I became significantly more mechano-vulnerable against 1 ​mJ than chondrocytes in uni-ACL-I or uninjured cartilage (Fig. 3b–c). In contrast, areas of dead cells in femurs of uni-ACL-I were comparable to contralateral uninjured joints (uni-ACL-uninjured) and uninjured controls (control group) at both 4- and 8-weeks post-injury (Fig. 3d). This result reveals that chondrocytes in uni-ACL-I maintained their mechano-vulnerability as uninjured chondrocytes.

At 0-week (3–5 days) post-injury, areas of chondrocyte death were significantly elevated in both the uni- and bi-ACL-I groups as compared to uninjured controls (Fig. S4). This significantly elevated mechano-vulnerability at 0-week is presumed to be driven by acute inflammation post-injury in synovial cavity: both in human and mice, levels of inflammatory cytokines in synovium fluid were most elevated within 1–3 days after ACL-injuries, and later these levels were gradually decreased, reaching a plateau within 2-weeks after ACL-injury [[36], [37], [38]]. The acute inflammatory phase is presumed to play a major role elevating mechanical vulnerability of chondrocytes in uni- and bi- ACL-I (Control: 11707.8 ​± ​1081.4 ​μm2, bi-ACL-I: 16312.1 ​± ​901.1 ​μm2, uni-ACL-uninjured: 13449.8 ​± ​535.3 ​μm2, uni-ACL-I: 22106.4 ​± ​679.7 ​μm2; see Supplemental Material, Fig. S3), and the chondrocyte death at this early stage may significantly contribute to the onset of cartilage degradation.

3.3. Mechanical property of ECM: higher Young's modulus of the ECM in bi-ACL-I at 8-weeks post-injury

We measured alterations in ECM Young's modulus and cartilage thickness of lateral condyles at 8-weeks post-injury (Fig. 4, Supplemental material). We found that articular cartilage of uni-ACL-I had reduced Young's moduli and increased peak compressive infinitesimal strains relative to contralateral uninjured limbs (3.6 ​± ​0.3 ​MPa vs. 7.8 ​± ​1.5 ​MPa; 35.4 ​± ​1.1% vs. 26.6 ​± ​2.5%; Fig. 4d–e), indicating cartilage softening and the onset of PTOA only in the injured limb but not in intact contralateral limb post-ACL-I. Interestingly, Young's modulus of cartilage in bi-ACL-I joints was almost two-fold higher than that of uninjured controls (11.4 ​± ​1.2 ​MPa vs. 6.1 ​± ​0.7 ​MPa; Fig. 4e). Cartilage thickness of bi-ACL-I was significantly reduced as compared to uninjured controls (Fig. S5, Fig. S6), suggesting cartilage degradation and erosion of cartilage surface. Taken together, uni-ACL-I group exhibits lower ECM modulus and the more compressed by a static load (0.1 ​N) among the groups, whereas bi-ACL-I group exhibits higher modulus and less compressed cartilage. These differences in mechanical properties of the ECM suggest that in vivo chondrocytes may experience distinct mechanical stimuli post-injury in our experimental groups (bi-ACL-I, uni-ACL, and uninjured controls), which lead to a feed-forward distinct cellular mechano-sensitivity and biosynthetic activities, which in turn alter structural and mechanical properties of the ECM along the PT-OA development. In addition, we anticipate the altered pericellular matrix (PCM) mechanics and disrupted cellular calcium homeostasis influence mechano-vulnerability of chondrocytes over the onset and progression of PT-OA [39].

Fig. 4.

Fig. 4

The ECM of Femoral lateral condyles in bi-ACL-I hindlimbs has higher Young's modulus than the ECM in uni-ACL-I hind limbs. (a) Schematic representation of experimental setup to assess compressive strain and mechanical properties of cartilage ECM on lateral femoral condyles. (b) Representative confocal micrographs of fluorescently stained cartilage on the lateral femoral condyle (top) before and (bottom) during cartilage compression after the specimens were subjected to a 0.1 ​N static loading for 5 ​min. Scale bar is 50 ​mm. (c) Representative maps of compressive strain of cartilage ECM on lateral femoral condyles of dissected specimens subjected to a 0.1 ​N static loading for 5 ​min in 3 experimental groups (Control, bi-ACL-I, uni-ACL: injured and contralateral uninjured) at 8-weeks post ACL-I time-point (n ​= ​3–4 mice/group). Scale bar is 100 ​mm. (d) Quantification of the peak compressive infinitesimal strain in the experimental groups. (e) Representative 3D geometry of cartilage FEM to simulate the compression experiment and quantify ECM Young's modulus via an inverse FE analysis. The cartilage is compressed with a rigid plated with prescribed experimentally measured boundary displacements (uz). (f) Quantification of solid matrix Young's modulus of cartilage on lateral femoral condyles in the experimental groups using a finite element-based method and parameters including reaction force, boundary displacement, and cartilage geometry (see Supplementary materials). Compressive strains and Young's moduli were compared using a One-way ANOVA with a post-hoc Tukey test. Data are mean ​± ​SEM. p ​≤ ​0.05 indicates statistical difference between the groups.

3.4. Bi-ACL-I joints develop more severe PT-OA than uni-ACL-I joints

Histological sections of the medial knee joints revealed that uni-ACL-I and bi-ACL-I induce different degrees of cartilage degeneration at 4- and 8-weeks post-injury (Fig. 1f–g). Specifically, in the majority of bi-ACL-I joints, we observed an anterior shift of mouse tibias and menisci relative to the femurs. In addition, significant articular cartilage degradation occurred on the posterior side of the tibia in bi-ACL-I. In contrast, the majority of uni-ACL-I knees did not have meniscus shift, cartilage degradation on the posterior side of the tibia was less severe than in bi-ACL-I group, and tissue calcification was observed (Fig. 1g, ∗ marked region). The max OARSI scores of cartilage on medial femoral condyles were 0.6 and 0.5 in uninjured control, 4 and 5 in bi-ACL-I, 3 and 1.7 in uni-ACL-I, and 0.5 and 0.5 in uni-ACL-uninjured at 4- and 8-weeks post-injury, respectively (Fig. 1h–k). The max scores within the medial tibial plateau (MTP) were 0.2 and 0.4 in uninjured controls, 4.9 and 5.1 in bi-ACL-I, 2.5 and 2.7 in uni-ACL-I, and 0.2 and 0.1 in uni-ACL-uninjured at 4- and 8-weeks post-injury, respectively (Fig. 1h–i). The synovitis score also relatively higher in bi-ACL-I than uninjured or uni-ACL-I groups (Fig. 1l–m). These results suggest that mice with bi-ACL-I develop more severe or rapid PT-OA as compared to uni-ACL injured mice.

4. Discussion

Joint injury is a risk factor for OA, and altered joint kinematics due to joint injury has been suggested to contribute to PT-OA development, whether by directly damaging chondrocytes and ECM or indirectly altering chondrocyte metabolism and ECM stiffness progressively. Understanding cartilage mechanotransduction may shed light on developing effective therapeutic strategies to treat PT-OA [1,40,41]. Here, we made a step towards understanding the relationship between the in vivo joint loading and chondrocyte mechano-vulnerability in murine articular cartilage post unilateral or bilateral ACL-I. Our data revealed that a higher in vivo joint loading leads to more severe or rapid PT-OA development post-ACL-I. Interestingly, articular chondrocytes in the more loaded femoral cartilage (i.e., in bi-ACL-I group) were more mechano-vulnerable and more prone to cellular death by mechanical stimuli as compared to chondrocytes in the less loaded cartilage (i.e., in uni-ACL-I or uninjured control groups). Our findings suggest that it is critical to avoid abnormal joint mechanics and to tightly tune the chondrocyte mechanosensitivity post-ACL-I in order to slow down PT-OA progression.

Unilateral and bilateral ACL-I differentially altered mouse gait patterns. We found that weight-bearing in hind limbs of bi-ACL-I mice was higher than in uni-ACL-I limbs and in uninjured control limbs, while the walking speed and body weight were comparable between bi-ACL-I and uni-ACL-I mice at both 4- and 8-weeks post-injury. Since uni-ACL-I destabilizes one hindlimb knee joint and the contralateral joint stays intact, we anticipated that uni-ACL-I mice exhibit asymmetrical gait distribution with lower load-bearing on injured limbs. Contrary to our expectations and consistent with previous reports indicating that mice can restore a symmetric distribution of weight-bearing within 2–3 weeks following traumatic injury [36,42], uni-ACL-I mice compensated the unbalanced joints, and exhibited similar levels of weight-bearing in injured and contralateral uninjured hind limbs at 4- and 8- weeks post-injury. Another distinctive difference between uni-ACL-I and bi-ACL-I mice was in the Base of Support, the width of hind-limb positions during the mouse locomotion. We observed a significantly reduced Base of Support in bi-ACL-I mice at 4-, and 8-weeks post-injury, while uni-ACL-I mice showed a comparable length of the Base of Support with uninjured control mice. These data indicate that unilateral and bilateral ACL-I cause differential mechanical environments in injured limbs that can contribute to different degrees of PT-OA development, and allows to examine the effect of joint mechanics on cellular and tissue health.

Distinct cellular mechano-vulnerability was observed in articular chondrocytes in lateral femoral condyles of uninjured, uni-ACL-I and bi-ACL-I joints over PT-OA development. Since chondrocyte death precedes cartilage degeneration in OA, and thus by promoting chondrocyte survival post-injury would delay PT-OA pathogenesis, we examined the in situ chondrocyte survival due to the applied mechanical impacts post-ACL-I. At 0-week post-injury, we observed increased areas of chondrocyte death induced by 1 ​mJ mechanical impacts in ACL-I joints (uni- and bi-ACL-I) as compared to the areas observed in uninjured joints (Supplemental material). This increased mechano-vulnerability of chondrocytes in uni-ACL-I and bi-ACL-I groups is presumably due to the local acute inflammation as the early response of synovial joints to trauma [36]. Interestingly, at both 4- and 8-weeks post-injury, articular chondrocytes in femoral condyles of bi-ACLI-I joints were the most vulnerable to mechanical impacts than chondrocytes in the uninjured control group (Fig. 3). The vulnerability of articular chondrocytes in uni-ACL-I joints were comparable to the chondrocytes’ vulnerability in contralateral uninjured joints or to uninjured control limbs at 4- and 8-week post-injury. Importantly, these trends in cell mechano-vulnerability are similar to the trends of hindlimb weight bearing observed during mouse locomotion. We also observed that baseline cell death (cell death before the application of mechanical impacts) was elevated on medial femoral condyles as compared to cell death on lateral condyles, which is consistent with a study conducted by Berke et al. [36]. Therefore, we anticipate that medial cartilage endures higher degrees of abnormal mechanical loads post-ACL-I than lateral cartilage does, thereby causing more rapid cartilage degradation by altering chondrocyte mechano-sensitivity and cartilage integrity.

Distinct mechanical properties of cartilage ECM were also observed in lateral femoral condyles of uni-ACL-I and bi-ACL-I joints at 8-weeks post-injury. Based on the equilibrium Young's moduli, uni-ACL-I limbs have significantly lower ECM modulus as compared to ECM in contralateral uninjured or control uninjured limbs at 8-weeks post-injury. This reduction in ECM modulus corresponded to moderate PT-OA levels with 2–4 OARSI scores (Fig. 1g–i). However, and to our surprise, bi-ACL-I knee joints showed a significantly increased Young's moduli of femoral articular cartilage and the most severe OARSI scores than other experimental groups (Fig. 1g–i). Altered cartilage moduli indicate OA progression and cartilage erosion in PT-OA [[43], [44], [45]]. Doyran et al. has reported a similar transition of intrinsic cartilage stiffness over PT-OA development in a murine destabilized medial meniscus (DMM) model [43]. In their animal model, the ECM of medial condyles of injured limbs had decreased nanoindentation modulus as compared to the ECM of sham-surgery limbs at 1∼8-weeks post-DMM-injury, then the modulus recovered significantly at 12-weeks post-injury when OA was the most severe based on their histological analysis [43]. Articular cartilage has a depth-dependent gradient in its compressive modulus with the lower modulus in superficial cartilage layer and the higher modulus in deeper layers reaching the bone [46]. Cartilage thickness of femoral condyles was significantly reduced in bi-ACL-I. We speculate that the increased Young's modulus of the ECM in bi-ACL-I are due to the more severe degradation of the superficial cartilage layer than in uni-ACL-I joints. Taking together, our ECM modulus and histology data indicate that bi-ACL-I joints have more severe OA than uni-ACL-I joints. Ironically, despite the increased modulus of ECM, articular chondrocytes in bi-ACL-I were more sensitive to mechanical impacts at 4- and 8-weeks post-injury. "Stiffen" ECM did not lessen the effect of mechanical impacts on in situ chondrocytes, but increased impact-induced chondrocyte death in bi-ACL-I joints. These data suggest that chondrocytes in bi-ACL-I were more fragile and impaired more upon mechanical stimuli.

Considering the crucial role of chondrocyte viability in cartilage homeostasis, our results suggest that the increased mechano-vulnerability of chondrocytes contributes to an accelerated PT-OA pathogenesis. Thus, we anticipate that the homeostasis of cellular mechano-sensitivity, or mechanical-injury-sensitivity, is critical to delay PT-OA. A group of mechanosensing and mechanotransducing molecules may be regulated over PT-OA development and tune cellular mechano-sensitivity under abnormal joint mechanics and inflammation post-ACL-I. For instance, dysregulated integrin αVβ3 and their associated ligands may play essential roles in disrupting chondrocyte-ECM interactions over OA progression [[47], [48], [49]], as well as Piezo1 may be augmented via IL-1-mediated inflammatory patho-mechanisms [50]. This study has explored female mice but not male mice, also mechanically-induced chondrocyte death are quantified using living cells in the native tissues, ex vivo and in situ, post-ACL-injuries, but not compared with histological assays, such as TUNEL/Necrosis assays. Future research will investigate the chondrocyte mechano-vulnerability based on mechanosensors and mechanotransducers and their local ECM properties over PT-OA development.

5. Conclusion

In this study, we quantified chondrocyte vulnerability and mechanical properties of ECM in load-bearing knee femoral articular cartilage over OA development post ACL-injury. We found the in vivo joint loading-dependent changes on chondrocytes’ mechano-vulnerability over the PT-OA development in female mice post-ACL-I. To our knowledge, this is the first study comparing the mechano-vulnerability of chondrocytes and the mechanical properties of ECM between unilateral and bilateral ACL-injuries in female mice. Our data reveal that unilateral ACL-I mice compensate and balance their joint loading between injured and uninjured hind limbs, resulting in the delayed progression of PT-OA with minimal changes on cellular mechano-vulnerability as compared to injured knees of bilateral ACL-I mice. This study suggests that the reduction in knee joint loading may delay ACL injury-associated progression of OA. Furthermore, patients with injuries in both of their joints may have a higher risk to develop PT-OA than the patients who do not have another joint injury in their contralateral knees because of the increased joint-loading. Our results support therapeutic interventions to tune cellular mechano-sensitivity and physical therapy to correct aberrant joint loading in ACL-injured legs to slow down PT-OA progression.

Additional materials and methods

Additional materials and methods are provided in Supplementary files.

Author contributions

WL, SM and AK designed the study. AK, AE, NYC and AP performed experiments. AK, AE, NYC, CP and WL analyzed and interpreted the data. AK, AE, NYC, SM, CP and WL were involved in drafting the manuscript for important intellectual content and all authors approved the final version of the manuscript.

Role of funding source

This work was supported in part by funds from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) under award numbers P30 AR069655 and T32 AR076950; and the Center for Musculoskeletal Research (CMSR) Pilot Awards of Goldstein and Discovery grants. Gait analysis was supported by NYS DOH award C32255GG. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Declaration of competing interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors thank Dr. Robert Dirksen for continuous research discussion. We also thank Center for Musculoskeletal Research (CMSR) Histology Core and University of Rochester Committee on Animal Resources (UCAR) for their technical assistance.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.ocarto.2021.100227.

Appendix A. Supplementary data

The following are the Supplementary data to this article:

Video 1
Download video file (1.4MB, mp4)
Video 2
Download video file (1.3MB, mp4)
Video 3
Download video file (1.4MB, mp4)
Multimedia component 4
mmc4.docx (4.1MB, docx)

References

  • 1.Guilak F. Biomechanical factors in osteoarthritis. Best Pract. Res. Clin. Rheumatol. 2011;25(6):815–823. doi: 10.1016/j.berh.2011.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Deveza L.A., Loeser R.F. Is osteoarthritis one disease or a collection of many? Rheumatology. 2018;57(suppl_4):iv34–iv42. doi: 10.1093/rheumatology/kex417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Carbone A., Rodeo S. Review of current understanding of post-traumatic osteoarthritis resulting from sports injuries. J. Orthop. Res. : official publication of the Orthopaedic Research Society. 2017;35(3):397–405. doi: 10.1002/jor.23341. [DOI] [PubMed] [Google Scholar]
  • 4.Whittaker J.L., Woodhouse L.J., Nettel-Aguirre A., Emery C.A. Outcomes associated with early post-traumatic osteoarthritis and other negative health consequences 3-10 years following knee joint injury in youth sport. Osteoarthritis Cartilage. 2015;23(7):1122–1129. doi: 10.1016/j.joca.2015.02.021. [DOI] [PubMed] [Google Scholar]
  • 5.Racine J., Aaron R.K. Post-traumatic osteoarthritis after ACL injury. R. I. Med. J. 2014;97(11):25–28. 2013. [PubMed] [Google Scholar]
  • 6.Beck N.A., Lawrence J.T.R., Nordin J.D., Defor T.A., Tompkins M. ACL tears in school-aged children and adolescents over 20 years. Pediatrics. 2017;139(3) doi: 10.1542/peds.2016-1877. [DOI] [PubMed] [Google Scholar]
  • 7.Gornitzky A.L., Lott A., Yellin J.L., Fabricant P.D., Lawrence J.T., Ganley T.J. Sport-specific yearly risk and incidence of anterior cruciate ligament tears in high school athletes: a systematic review and meta-analysis. Am. J. Sports Med. 2016;44(10):2716–2723. doi: 10.1177/0363546515617742. [DOI] [PubMed] [Google Scholar]
  • 8.Oiestad B.E., Holm I., Aune A.K., Gunderson R., Myklebust G., Engebretsen L., et al. Knee function and prevalence of knee osteoarthritis after anterior cruciate ligament reconstruction: a prospective study with 10 to 15 years of follow-up. Am. J. Sports Med. 2010;38(11):2201–2210. doi: 10.1177/0363546510373876. [DOI] [PubMed] [Google Scholar]
  • 9.Lohmander L.S., Englund P.M., Dahl L.L., Roos E.M. The long-term consequence of anterior cruciate ligament and meniscus injuries: osteoarthritis. Am. J. Sports Med. 2007;35(10):1756–1769. doi: 10.1177/0363546507307396. [DOI] [PubMed] [Google Scholar]
  • 10.Khan T., Alvand A., Prieto-Alhambra D., Culliford D.J., Judge A., Jackson W.F., et al. ACL and meniscal injuries increase the risk of primary total knee replacement for osteoarthritis: a matched case-control study using the Clinical Practice Research Datalink (CPRD) Br. J. Sports Med. 2018;53(15):965–968. doi: 10.1136/bjsports-2017-097762. [DOI] [PubMed] [Google Scholar]
  • 11.Wellsandt E., Khandha A., Capin J., Buchanan T.S., Snyder-Mackler L. Operative and nonoperative management of anterior cruciate ligament injury: differences in gait biomechanics at 5 years. J. Orthop. Res. 2020;38(12):2675–2684. doi: 10.1002/jor.24652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Brody J.M., Lin H.M., Hulstyn M.J., Tung G.A. Lateral meniscus root tear and meniscus extrusion with anterior cruciate ligament tear. Radiology. 2006;239(3):805–810. doi: 10.1148/radiol.2393050559. [DOI] [PubMed] [Google Scholar]
  • 13.Ahn J.H., Lee Y.S., Yoo J.C., Chang M.J., Park S.J., Pae Y.R. Results of arthroscopic all-inside repair for lateral meniscus root tear in patients undergoing concomitant anterior cruciate ligament reconstruction. Arthroscopy. 2010;26(1):67–75. doi: 10.1016/j.arthro.2009.07.007. [DOI] [PubMed] [Google Scholar]
  • 14.Clancy W.G., Jr., Sutherland T.B. Combined posterior cruciate ligament injuries. Clin. Sports Med. 1994;13(3):629–647. [PubMed] [Google Scholar]
  • 15.Maffulli N., Binfield P.M., King J.B. Articular cartilage lesions in the symptomatic anterior cruciate ligament-deficient knee. Arthroscopy. 2003;19(7):685–690. doi: 10.1016/s0749-8063(03)00403-1. [DOI] [PubMed] [Google Scholar]
  • 16.Berchuck M., Andriacchi T.P., Bach B.R., Reider B. Gait adaptations by patients who have a deficient anterior cruciate ligament. J Bone Joint Surg Am. 1990;72(6):871–877. [PubMed] [Google Scholar]
  • 17.Hurd W.J., Snyder-Mackler L. Knee instability after acute ACL rupture affects movement patterns during the mid-stance phase of gait. J. Orthop. Res. : official publication of the Orthopaedic Research Society. 2007;25(10):1369–1377. doi: 10.1002/jor.20440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wright R.W., Magnussen R.A., Dunn W.R., Spindler K.P. Ipsilateral graft and contralateral ACL rupture at five years or more following ACL reconstruction: a systematic review. J Bone Joint Surg Am. 2011;93(12):1159–1165. doi: 10.2106/JBJS.J.00898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.David M.A., Smith M.K., Pilachowski R.N., White A.T., Locke R.C., Price C. Early, focal changes in cartilage cellularity and structure following surgically induced meniscal destabilization in the mouse. J. Orthop. Res. 2017;35(3):537–547. doi: 10.1002/jor.23443. [DOI] [PubMed] [Google Scholar]
  • 20.Leahy A.A., Esfahani S.A., Foote A.T., Hui C.K., Rainbow R.S., Nakamura D.S., et al. Analysis of the trajectory of osteoarthritis development in a mouse model by serial near-infrared fluorescence imaging of matrix metalloproteinase activities. Arthritis Rheumatol. 2015;67(2):442–453. doi: 10.1002/art.38957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Rai M.F., Duan X., Quirk J.D., Holguin N., Schmidt E.J., Chinzei N., et al. Post-traumatic osteoarthritis in mice following mechanical injury to the synovial joint. Sci. Rep. 2017;7:45223. doi: 10.1038/srep45223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Olson S.A., Horne P., Furman B., Huebner J., Al-Rashid M., Kraus V.B., et al. The role of cytokines in posttraumatic arthritis. J. Am. Acad. Orthop. Surg. 2014;22(1):29–37. doi: 10.5435/JAAOS-22-01-29. [DOI] [PubMed] [Google Scholar]
  • 23.Loeser R.F., Collins J.A., Diekman B.O. Ageing and the pathogenesis of osteoarthritis. Nat. Rev. Rheumatol. 2016;12(7):412–420. doi: 10.1038/nrrheum.2016.65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chevalier X., Eymard F., Richette P. Biologic agents in osteoarthritis: hopes and disappointments. Nat. Rev. Rheumatol. 2013;9:400. doi: 10.1038/nrrheum.2013.44. [DOI] [PubMed] [Google Scholar]
  • 25.Hwang H.S., Park I.Y., Hong J.I., Kim J.R., Kim H.A. Osteoarthritis and cartilage; 2021. Comparison of Joint Degeneration and Pain in Male and Female Mice in DMM Model of Osteoarthritis. [DOI] [PubMed] [Google Scholar]
  • 26.Ma H.L., Blanchet T.J., Peluso D., Hopkins B., Morris E.A., Glasson S.S. Osteoarthritis severity is sex dependent in a surgical mouse model. Osteoarthritis Cartilage. 2007;15(6):695–700. doi: 10.1016/j.joca.2006.11.005. [DOI] [PubMed] [Google Scholar]
  • 27.Bram J.T., Magee L.C., Mehta N.N., Patel N.M., Ganley T.J. Anterior cruciate ligament injury incidence in adolescent athletes: a systematic review and meta-analysis. Am. J. Sports Med. 2021;49(7):1962–1972. doi: 10.1177/0363546520959619. [DOI] [PubMed] [Google Scholar]
  • 28.Agel J., Arendt E.A., Bershadsky B. Anterior cruciate ligament injury in national collegiate athletic association basketball and soccer: a 13-year review. Am. J. Sports Med. 2005;33(4):524–530. doi: 10.1177/0363546504269937. [DOI] [PubMed] [Google Scholar]
  • 29.Zhang X., Deng X.H., Song Z., Croen B., Carballo C.B., Album Z., et al. Matrix metalloproteinase inhibition with doxycycline affects the progression of posttraumatic osteoarthritis after anterior cruciate ligament rupture: evaluation in a new nonsurgical murine ACL rupture model. Am. J. Sports Med. 2020;48(1):143–152. doi: 10.1177/0363546519887158. [DOI] [PubMed] [Google Scholar]
  • 30.Hamers F.P., Lankhorst A.J., van Laar T.J., Veldhuis W.B., Gispen W.H. Automated quantitative gait analysis during overground locomotion in the rat: its application to spinal cord contusion and transection injuries. J. Neurotrauma. 2001;18(2):187–201. doi: 10.1089/08977150150502613. [DOI] [PubMed] [Google Scholar]
  • 31.Murphy M.P., Koepke L.S., Lopez M.T., Tong X., Ambrosi T.H., Gulati G.S., et al. Articular cartilage regeneration by activated skeletal stem cells. Nat. Med. 2020;26(10):1583–1592. doi: 10.1038/s41591-020-1013-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kotelsky A., Carrier J.S., Buckley M.R. Real-time visualization and analysis of chondrocyte injury due to mechanical loading in fully intact murine cartilage explants. JoVE : JoVE. 2019;(143) doi: 10.3791/58487. [DOI] [PubMed] [Google Scholar]
  • 33.Kotelsky A., Woo C.W., Delgadillo L.F., Richards M.S., Buckley M.R. An alternative method to characterize the quasi-static, nonlinear material properties of murine articular cartilage. J. Biomech. Eng. 2018;140(1) doi: 10.1115/1.4038147. 0110071-0110079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Maas S.A., Ellis B.J., Ateshian G.A., Weiss J.A. FEBio: finite elements for biomechanics. J. Biomech. Eng. 2012;134(1) doi: 10.1115/1.4005694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Glasson S.S., Chambers M.G., Van Den Berg W.B., Little C.B. The OARSI histopathology initiative - recommendations for histological assessments of osteoarthritis in the mouse. Osteoarthritis Cartilage. 2010;18(Suppl 3):S17–S23. doi: 10.1016/j.joca.2010.05.025. [DOI] [PubMed] [Google Scholar]
  • 36.Berke I.M., Jain E., Yavuz B., McGrath T., Chen L., Silva M.J., et al. NF-kappaB-mediated effects on behavior and cartilage pathology in a non-invasive loading model of post-traumatic osteoarthritis. Osteoarthritis Cartilage. 2021;29(2):248–256. doi: 10.1016/j.joca.2020.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Bigoni M., Sacerdote P., Turati M., Franchi S., Gandolla M., Gaddi D., et al. Acute and late changes in intraarticular cytokine levels following anterior cruciate ligament injury. J. Orthop. Res. 2013;31(2):315–321. doi: 10.1002/jor.22208. [DOI] [PubMed] [Google Scholar]
  • 38.Irie K., Uchiyama E., Iwaso H. Intraarticular inflammatory cytokines in acute anterior cruciate ligament injured knee. Knee. 2003;10(1):93–96. doi: 10.1016/s0968-0160(02)00083-2. [DOI] [PubMed] [Google Scholar]
  • 39.Chery D.R., Han B., Li Q., Zhou Y., Heo S.J., Kwok B., et al. Early changes in cartilage pericellular matrix micromechanobiology portend the onset of post-traumatic osteoarthritis. Acta Biomater. 2020;111:267–278. doi: 10.1016/j.actbio.2020.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ng L., Hung H.-H., Sprunt A., Chubinskaya S., Ortiz C., Grodzinsky A. Nanomechanical properties of individual chondrocytes and their developing growth factor-stimulated pericellular matrix. J. Biomech. 2007;40(5):1011–1023. doi: 10.1016/j.jbiomech.2006.04.004. [DOI] [PubMed] [Google Scholar]
  • 41.Perera P.M., Wypasek E., Madhavan S., Rath-Deschner B., Liu J., Nam J., et al. Mechanical signals control SOX-9, VEGF, and c-Myc expression and cell proliferation during inflammation via integrin-linked kinase, B-Raf, and ERK1/2-dependent signaling in articular chondrocytes. Arthritis Res. Ther. 2010;12(3):R106. doi: 10.1186/ar3039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Angeby Moller K., Aulin C., Baharpoor A., Svensson C.I. Pain behaviour assessments by gait and weight bearing in surgically induced osteoarthritis and inflammatory arthritis. Physiol. Behav. 2020;225:113079. doi: 10.1016/j.physbeh.2020.113079. [DOI] [PubMed] [Google Scholar]
  • 43.Doyran B., Tong W., Li Q., Jia H., Zhang X., Chen C., et al. Nanoindentation modulus of murine cartilage: a sensitive indicator of the initiation and progression of post-traumatic osteoarthritis. Osteoarthritis Cartilage. 2017;25(1):108–117. doi: 10.1016/j.joca.2016.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Pragnere S., Boulocher C., Pollet O., Bosser C., Levillain A., Cruel M., et al. Mechanical alterations of the bone-cartilage unit in a rabbit model of early osteoarthrosis. J. Mech. Behav. Biomed. Mater. 2018;83:1–8. doi: 10.1016/j.jmbbm.2018.03.033. [DOI] [PubMed] [Google Scholar]
  • 45.Kleemann R.U., Krocker D., Cedraro A., Tuischer J., Duda G.N. Altered cartilage mechanics and histology in knee osteoarthritis: relation to clinical assessment (ICRS Grade) Osteoarthritis Cartilage. 2005;13(11):958–963. doi: 10.1016/j.joca.2005.06.008. [DOI] [PubMed] [Google Scholar]
  • 46.Chen A.C., Bae W.C., Schinagl R.M., Sah R.L. Depth- and strain-dependent mechanical and electromechanical properties of full-thickness bovine articular cartilage in confined compression. J. Biomech. 2001;34(1):1–12. doi: 10.1016/s0021-9290(00)00170-6. [DOI] [PubMed] [Google Scholar]
  • 47.Pulai J.I., Chen H., Im H.J., Kumar S., Hanning C., Hegde P.S., et al. NF-kappa B mediates the stimulation of cytokine and chemokine expression by human articular chondrocytes in response to fibronectin fragments. J. Immunol. 2005;174(9):5781–5788. doi: 10.4049/jimmunol.174.9.5781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Charlier E., Deroyer C., Neuville S., Plener Z., Malaise O., Ciregia F., et al. Toward diagnostic relevance of the αVβ5, αVβ3, and αVβ6 integrins in OA: expression within human cartilage and spinal osteophytes. Bone Res. 2020;8(1):35. doi: 10.1038/s41413-020-00110-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wang Q., Onuma K., Liu C., Wong H., Bloom M.S., Elliott E.E., et al. Dysregulated integrin αVβ3 and CD47 signaling promotes joint inflammation, cartilage breakdown, and progression of osteoarthritis. JCI Insight. 2019;4(18) doi: 10.1172/jci.insight.128616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lee W., Nims R.J., Savadipour A., Zhang Q., Leddy H.A., Liu F., et al. Inflammatory signaling sensitizes Piezo1 mechanotransduction in articular chondrocytes as a pathogenic feed-forward mechanism in osteoarthritis. Proc. Natl. Acad. Sci. U.S.A. 2021;118(13) doi: 10.1073/pnas.2001611118. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Video 1
Download video file (1.4MB, mp4)
Video 2
Download video file (1.3MB, mp4)
Video 3
Download video file (1.4MB, mp4)
Multimedia component 4
mmc4.docx (4.1MB, docx)

Articles from Osteoarthritis and Cartilage Open are provided here courtesy of Elsevier

RESOURCES