Key Words: apoptosis, astrocytes, chronic spinal cord compression, disc degeneration, disc herniation, macrophages, microglia, neuroinflammation, neurons, NOD-like receptor protein 3 inflammasomes, secreted protein, acidic, and rich in cysteine
Abstract
Chronic spinal cord compression (CSCC) is induced by disc herniation and other reasons, leading to movement and sensation dysfunction, with a serious impact on quality of life. Spontaneous disc herniation rarely occurs in rodents, and therefore establishing a chronic spinal cord compression (CSCC) animal model is of crucial importance to explore the pathogenesis and treatment of CSCC. The absence of secreted protein, acidic, and rich in cysteine (SPARC) leads to spontaneous intervertebral disc degeneration in mice, which resembles human disc degeneration. In this study, we evaluated whether SPARC-null mice may serve as an animal model for CSCC. We performed rod rotation test, pain threshold test, gait analysis, and Basso Mouse Scale score. Our results showed that the motor function of SPARC-null mice was weakened, and magnetic resonance images revealed compression at different spinal cord levels, particularly in the lumbar segments. Immunofluorescence staining and western blot assay showed that the absence of SPARC induced apoptosis of neurons and oligodendrocytes, activation of microglia/macrophages with M1/M2 phenotype and astrocytes with A1/A2 phenotype; it also activated the expression of the NOD-like receptor protein 3 inflammasome and inhibited brain-derived neurotrophic factor/tyrosine kinase B signaling pathway. Notably, these findings are characteristics of CSCC. Therefore, we propose that SPARC-null mice may be an animal model for studying CSCC caused by disc herniation.
Introduction
Chronic spinal cord compression (CSCC) is a serious type of spinal impairment (Sun et al., 2017; Tu et al., 2021). Degenerative CSCC injuries account for 54% of non-traumatic spinal cord compression injuries in North America, 18–26% in Australia, 29–59% in Asia, and 16–51% in Europe (Bradshaw and Sage, 2001; Vervoordeldonk et al., 2013; New et al., 2014; Ge et al., 2018; Niemi-Nikkola et al., 2021; Lee et al., 2022). Space-occupying changes in the spinal canal, such as intervertebral disc herniation and posterior longitudinal ligament ossification, lead to degenerative spinal cord changes and vertebral degeneration in patients with CSCC (Tatsui et al., 2016; Cui et al., 2021; Wang et al., 2021; Bacova et al., 2022). CSCC can result in various degrees of movement and sensation dysfunction; for example, cauda equina syndrome is observed in patients with lumbar CSCC, while fine motor impairment of the hand may occur patients with cervical CSCC. These conditions seriously affect the patient’s life and ability to work (Ocal et al., 2019). Therefore, better understanding of the mechanisms underlying CSCC is critical to establish therapeutic methods for this syndrome.
Establishing an animal CSCC model for CSCC studies remains challenging. The etiology of intervertebral disc degeneration is different in rats and mice compared with humans the spine of rats and mice is in a non-upright position and intervertebral disc stress is different; therefore spontaneous disc degeneration cannot be induced (Jin et al., 2018). Moreover, the application of forces, such as external compression, can destroy the structure of the spinal cord and vertebral body and is not consistent with the pathological conditions of CSCC (Hosoda et al., 1981). Therefore, establishing a mammalian model that reproduces the clinical features of progressive CSCC is critical for research in CSCC.
Secreted protein, acidic and rich in cysteine (SPARC), also known as osteonectin and basement membrane-40, is a protein that regulates the extracellular matrix and is involved in tissue reconstruction, cell migration, and proliferation (Bradshaw and Sage, 2001; Tajerian et al., 2012; Riley and Bradshaw, 2020). The absence of SPARC in mice leads to premature spontaneous age-dependent intervertebral disc degeneration, which resembles human disc degeneration (Gruber et al., 2005; Tajerian et al., 2011; Miyagi et al., 2014; Millecamps et al., 2015). SPARC-null mice showed signs of degenerative disc degeneration 2 months after birth, and extensive disc degeneration was observed 2 years after birth (Krock et al., 2018). Notably, the degree of intervertebral disc degeneration in this model correlated with behavioral and motor signs of chronic low back pain in humans (Millecamps et al., 2015). In addition, SPARC-null mice showed increased stiffness and decreased neutral zone length in intervertebral discs compared with controls, possibly because of disc degeneration (Whittal et al., 2021).
Previous studies using the SPARC-null mouse model have focused on diseases related to disc degeneration, such as low back pain and disc herniation (Millecamps et al., 2011; Krock et al., 2019). Because of the unique pathologic process of the SPARC-null mice, in this study, we evaluated whether this model might be a suitable animal model for investigating CSCC.
Methods
Animals
SPARC-null mice (Cat# C57BL/6-Sparcem1Smoc; RRID: NM-KO-225002) were purchased from the Shanghai Research Center of the Southern Model Organisms (license No. SCXK (Hu) 2017-0010). Male and female SPARC-null (22–24 months, n = 11) and mated wild-type (WT) mice (born in the same litter, n = 10) were used in this study (Table 1). Animals were housed in an environment with a temperature of 22 ± 1°C, relative humidity of 50 ± 1%, and a light/dark cycle of 12/12-hour and were given water and food ad libitum. All animal studies (including the animal euthanasia procedure) were performed in compliance with the regulations and guidelines of the Animal Welfare Ethics Committee of Shanghai University of Traditional Chinese Medicine following the Association for Assessment and Accreditation of Laboratory Animal Care and the Institutional Animal Care and Use Committee guidelines (approval No. PZSHUTCM210820015, approved on September 2, 2021). A schematic illustration of the experiments is shown in Figure 1.
Table 1.
ID | Date of birth | Gender | Genotype |
---|---|---|---|
S1 | March 8, 2019 | ♀ | HO |
S2 | March 8, 2019 | ♀ | HO |
S3 | March 9, 2019 | ♂ | HO |
S4 | March 9, 2019 | ♂ | HO |
S5 | March 22, 2019 | ♂ | HO |
S6 | March 22, 2019 | ♀ | HO |
S7 | March 22, 2019 | ♀ | HO |
S8 | April 16, 2019 | ♀ | HO |
S9 | April 16, 2019 | ♂ | HO |
S10 | May 5, 2019 | ♀ | HO |
S11 | May 5, 2019 | ♀ | HO |
W1 | March 8, 2019 | ♂ | WT |
W2 | March 8, 2019 | ♂ | WT |
W3 | March 9, 2019 | ♀ | WT |
W4 | March 22, 2019 | ♂ | WT |
W5 | March 22, 2019 | ♀ | WT |
W6 | April 16, 2019 | ♂ | WT |
W7 | April 16, 2019 | ♀ | WT |
W8 | May 5, 2019 | ♀ | WT |
W9 | May 5, 2019 | ♀ | WT |
W10 | May 5, 2019 | ♂ | WT |
HO: Homozygote; ID: identification; S: SPARC-null mice; W/WT: wild-type mice.
Behavioral assessment
Behavioral tests included a rotating rod test, inclined plate score, heat pain threshold test, Basso Mouse Scale (BMS) score, and gait analysis. All behavioral tests were performed by investigators blinded to the animal genotype.
Rotating rod test
The rotating rod test was performed using a rotating machine (LE8205, Panlab, Madrid, Spain). The test measures riding time or endurance and is based on a rotating rod with forced motor activity being applied by a mouse or rodent. Briefly, mice were placed on the rotating rod; when they fell on the lever, the timer was stopped, and an evaluator read the parameters. Each mouse was tested five times, and the maximum value was recorded (Deacon, 2013).
Inclined plate test
The inclined plate test was developed to evaluate the mouse’s muscle strength and overall balance (Rivlin and Tator, 1977). The mice were placed on a rubber plate with an adjustable angle; the angle of the inclined plate was gradually raised every 5° to record the maximum angle at which the mice could keep their body from sliding for 5 seconds.
Heat pain threshold test
The heat pain threshold was tested on a hot plate (55370, Ugo Basile, Milan, Italy). The mice were placed on a metal net covered with a plexiglass box; after 2 hours of adaptation, the test was started, and mice were placed on a special heat conduction plate and covered with a transparent plastic box. An infrared light source was placed under the skin in the middle of the left hind paw, and the glass plate was heated. The duration of time until the mouse licked or moved their hind paws was automatically recorded by the instrument. The test was performed three times for each mouse, and the average value was taken as the pain threshold for each time (Dyck et al., 1996).
BMS score
The BMS score consists of the main and sub scores and is a highly sensitive and reliable index for evaluating spinal cord function (Basso et al., 2006). The main score is evaluated after observing the range of motion of the ankle joint, coordination, paw posture, trunk stability, and tail posture of the mouse two-point hind limb using a scale from 0 to 9, where 0 indicates complete paralysis and 9 indicates normal movements. The sub score complements the primary score by observing the overall coordination and stability of the mouse and is evaluated using a scale from 0 to 11 (Additional Tables 1 and 2). Two evaluators who were familiar with the scoring rules independently calculated the score twice before sampling (each observation lasted 5 minutes). The final score was obtained as the mean of the scores from the two evaluators.
Additional Table 1.
Score | Definition |
---|---|
0 | No ankle movement |
1 | Slight ankle movement |
2 | Extensive ankle movement |
3 | Plantar placing of the paw with or without weight support -OR-Occasional, frequent or consistent dorsal stepping but no plantar stepping |
4 | Occasional plantar stepping |
5 | Frequent or consistent plantar stepping, no coordination -OR-Frequent or consistent plantar stepping, some coordination, paws rotated at initial contact and lift off (R/R) |
6 | Frequent or consistent plantar stepping, some coordination, paws parallel at initial contact (P/R, P/P) -OR- Frequent or consistent plantar stepping, mostly coordinated, paws rotated at initial contact and lift off (R/R) |
7 | Frequent or consistent plantar stepping, mostly coordinated, paws parallel at initial contact and rotated at lift off (P/R) -OR-Frequent or consistent plantar stepping, mostly coordinated, paws parallel at initial contact and lift off (P/P), and severe trunk instability |
8 | Frequent or consistent plantar stepping, mostly coordinated, paws parallel at initial contact and lift off (P/P), and mild trunk instability -OR-Frequent or consistent plantar stepping, mostly coordinated, paws parallel at initial contact and lift off (P/P), and normal trunk stability and tail down or up & down |
9 | Frequent or consistent plantar stepping, mostly coordinated, paws parallel at initial contact and lift off (P/P), and normal trunk stability and tail always up. |
The score is evaluated according to Basso et al. (2006). P: Prismatic joint; R: revolute joint.
Additional Table 2.
Item | Score |
---|---|
Plantar stepping | L = 0000 |
Frequent = 0; Consistent = 1 | R = 0000 |
Coordination | 0000 |
None = 0; Some = 1; Most = 2 | |
Paw position | |
Rotated throughout = 0 | |
Parallel and rotated = 1 | L = 0000 |
Parallel throughout = 2 | R = 0000 |
Trunk | 0000 |
Severe = 0; Mild = 1; Normal =2 | |
Tail | 0000 |
Down, up & down = 0; Up = 1 |
L: Left; R right.
Gait analysis
Gait analysis was performed using the GaitScan system (CleverSys, Guangzhou, China) (Adams et al., 2016). After pre-training in an alternate channel for one week, the mice were allowed to walk freely in an illuminated glass plate within a confined corridor (50 cm × 8 cm) in a dark room. Each mouse was tested three times. A high-speed camera was used to record footprints for subsequent analysis with TreadScan™ 2.0 software (CleverSys), and the speed of the mice was analyzed.
Imaging detection
All mice underwent magnetic resonance imaging conducted with a 3.0 Tesla Siemens MAGNETOM Prisma Fit magnetic resonance imaging system (Siemens Medical Solutions, Erlangen, Germany). The T2-weighted images were taken (echo delay time = 66 ms; repetition time = 4000 ms; flip angle α = 150°; slice thickness: 1.5 mm; field of view = 41 mm × 70 mm).
Tissue preparation
SPARC-null and WT mice (n = 6 each) were anesthetized using intraperitoneal 0.3% sodium pentobarbital (30 mg/kg, Sigma, St. Louis, MO, USA) and then perfused through the left cardiac ventricle. The C1 to S4 spinal segments were extracted and post-fixed with 4% paraformaldehyde for 48 hours at 4°C. The spinal cord above and below the lumbar segment was divided using the lowest rib as the bone marker. The spinal cord corresponding to the L2–L3 intervertebral disc from L1–L2 to L3–L4 for gradient dehydration was cut off and embedded in optimal cutting temperature medium (Tissue-Tek, Sakura, CA, USA). On the sagittal plane, the sample (including injury center of L2–L3, 0.2 mm and 0.4 mm above the compression center and 0.2 mm and 0.4 mm below) was sliced into 7-µm slices along the transverse plane using a cryogenic thermostat (CM3050S, Leica, Wetzlar, Germany), mounted on a gel-coated slide, and stored at –80°C.
The spinal cord tissues of an additional group of SPARC-null (n = 5) and WT mice (n = 4) were used for protein detection. The spinal cord of mice is thin, and therefore the spinal cord corresponding to the L1–L5 vertebral body was cut using a blade for protein extraction, wrapped in foil, and stored at –80°C for protein extraction.
Hematoxylin-eosin staining
Hematoxylin-eosin staining of the whole spinal cord in each group was performed using a hematoxylin and eosin staining kit (Cat# C0105S, Beyotime Biotechnology, Shanghai, China). The frozen spinal cord tissue sections were rewarmed at 20–25°C for 15 minutes, washed with distilled water, and soaked in hematoxylin dye for 5 minutes. Samples were then rinsed with distilled water and placed in 1% hydrochloric acid ethanol for 1 second, after which they were soaked with eosin dye for 3 minutes and dehydrated with anhydrous ethanol twice for 2 minutes each. The sections were sealed with neutral resin, placed in an oven at 60°C, and scanned using an Olympus VS120 full film scanner (Olympus, Tokyo, Japan) in fluorescence mode.
Evaluation of apoptosis in neurons and oligodendrocytes
Apoptosis of neurons and oligodendrocytes was detected using the One-Step terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate-nick end labeling (TUNEL) Apoptosis Detection Kit (Beyotime Biotechnology, Cat# C1088) following the manufacturer’s instructions. Frozen tissue sections were incubated with primary antibodies against anti-neuronal nuclei (NeuN; Abcam, Cambridge, MA, USA, rabbit monoclonal antibody, 1:200, Cat# ab177487, RRID: AB_2532109) or anti-oligodendrocyte transcriptional factor-2 (Olig2; rabbit monoclonal antibody, 1:200, Abcam, Cat# ab109186, RRID: AB_10861310) at 4°C overnight. Samples were washed with phosphate-buffered saline (PBS) three times and incubated with goat anti-rabbit IgG (Alexa Fluor®594, 1:300, Proteintech, Rosemont, IL, USA, Cat# SA00013-4, RRID: AB_2810984) for 2 hours at 20–25°C. Samples were then incubated with TUNEL detection solution for 1 hour at 37°C in the dark. The sections were scanned with an Olympus VS120 full film scanner in fluorescence mode after 4′,6-diamidino-2-phenylindole (DAPI, 1.0 mg/mL, Beyotime Biotechnology) staining. TUNEL-positive cells, which represented apoptotic cells, were counted in 350 × 350 µm2 regions.
Immunofluorescence staining
After washing with PBS, the frozen tissue sections were blocked with 5% bovine serum albumin (containing 0.5% Triton X-100). Sections were then incubated overnight at 4°C with the following primary antibodies: anti-βIII-tubulin (a marker for neuron; mouse monoclonal antibody, 1:200, Abcam, Cat# ab78078, RRID: AB_2256751), anti-ionized calcium binding adapter molecule 1 (Iba1; goat monoclonal antibody, 1:200, Abcam, Cat# ab48004, RRID: AB_870576), anti-2-3-cyclic nucleotide 3-phosphodiesterase (mouse monoclonal antibody, 1:200, Abcam, Cat# ab6319, RRID: AB_2082593), anti-glial fibrillary acidic protein (GFAP; mouse monoclonal antibody, 1:200, Cell Signal Technology, Beverly, MA, USA, Cat# 3670S, RRID: AB_561049), anti-Bax (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab32503, RRID: AB_725631), anti-cleaved caspase-3 (rabbit monoclonal antibody, 1:200, Abcam, Cat#9664S, RRID: AB_2070042), anti-interleukin (IL)-1β (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab9722, RRID: AB_308765), anti-IL-6 (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab233706, RRID: AB_2889391), anti-CD206 (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab64693, RRID: AB_1523910), anti-C3 (rabbit monoclonal antibody, 1:200, Affinity Biosciences, Cincinnati, OH, USA, Cat# DF13224, RRID: AB_2846243), tumor necrosis factor-α (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab183218, RRID: AB_2889388), anti-S100A10 (rabbit monoclonal antibody, 1:200, Thermo Fisher Scientific, Waltham, MA, USA, Cat# PA5-95505, RRID: AB_2807307), anti-IL-10 (rabbit monoclonal antibody, 1:200, Proteintech, Cat# 20850-1-AP, RRID: AB_2878752), anti-transforming growth factor-β (TGF-β; rabbit monoclonal antibody, 1:200, Proteintech, Cat# 21898-1-AP, AB_2811115), anti-NOD-like receptor protein 3 (NLRP3; rabbit monoclonal antibody, 1:200, Abcam, Cat# ab263899, RRID: AB_2889890), anti-brain-derived neurotrophic factor (BDNF; rabbit monoclonal antibody, 1:200, Abcam, Cat# ab108319, RRID: AB_10862052), proliferating cell nuclear antigen (PCNA, rabbit monoclonal antibody, 1:200, Abcam, Cat# ab92552, RRID: AB_10561973), CD3 (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab135372, RRID: AB_2884903), and CD11b (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab52478, RRID: AB_868788). Sections were then washed with PBS three times and incubated with goat anti-rabbit IgG (Alexa Fluor®594, 1:300, Proteintech, Cat#SA00013-4, RRID: AB_2810984) and goat anti-mouse IgG (Alexa Fluor®488, 1:300, Proteintech, Cat#SA00013-1, RRID: AB_2810983) for 2 hours at 20–25°C, followed by incubation with DAPI for 10 minutes at room temperature. Sections were examined using an Olympus VS120 full film scanner in fluorescence mode.
Triple staining of layered spinal cord was performed to evaluate the location and quantity of neurons, microglia, and astrocytes. The layered spinal cord was incubated overnight at 4°C with anti-Iba1 (goat monoclonal antibody, 1:200, Abcam, Cat# ab48004, RRID: AB_870576), anti-NeuN (rabbit monoclonal antibody, 1:200, Abcam, Cat# ab177487, RRID: AB_2532109) and anti-GFAP (mouse monoclonal antibody, 1:200, Cell Signal Technology, Cat# 3670S, RRID: AB_561049) primary antibodies and then incubated with donkey anti-rabbit IgG (Alexa Fluor®647, 1:300, Abcam, Cat# ab150083, RRID: AB_2714032), donkey anti-goat IgG (Alexa Fluor®555, 1:300, Abcam, Cat# ab150134, RRID: AB_2715537) and donkey anti-mouse IgG (Alexa Fluor®488, 1:300, Abcam, ab150109, RRID: AB_2571721) for 2 hours at 20–25°C, followed by incubation with DAPI for 10 minutes. The samples were examined using a ZEISS LSM 900 confocal microscope (ZEISS, Shanghai, China). Quantification of cell markers was conducted using ImageJ software 1.8.0 version (National Institutes of Health, Bethesda, MD, USA) (Schneider et al., 2012).
Myelin basic protein staining
Myelin basic protein (MBP) staining was used to observe the expression of MBP, which maintains the structural homeostasis of the myelin sheath of the central nervous system (CNS) (Libich et al., 2010). Samples were washed with PBS and blocked with 5% bovine serum albumin. Sections were then incubated overnight at 4°C with anti-MBP (rabbit monoclonal antibody, 1:200, Invitrogen, Carlsbad, CA, USA, Cat# MA5-35074, RRID: AB_2848979), washed with PBS, and then incubated with goat anti-rabbit IgG (Alexa Fluor®488, 1:300, Proteintech, Cat# SA00013-4, RRID: AB_2810984) for 2 hours at 20–25°C, followed by incubation with DAPI. The sections were examined using an Olympus VS120 full film scanner and the MBP-positive area was quantified. A larger fluorescent area and smooth texture indicates a healthier myelin sheath (Libich et al., 2010).
Western blot assay
Compressed spinal cord tissues were homogenized in radio-immunoprecipitation assay buffer (Cell Signaling Technology, Beverly, MA, USA). Protein concentration was determined using a bicinchoninic acid protein assay kit (Beyotime Biotechnology). Protein samples were separated by electrophoresis on an 8–12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis gel transferred onto a polyvinylidene fluoride membrane (0.45 µm, Millipore, Billerica, MA, USA) and blocked in 5% bovine serum albumin. Membranes were incubated with primary antibodies against anti-NeuN (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab177487, RRID: AB_2532109), anti-Olig2 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab109186, RRID: AB_10861310), anti-Iba1 (goat monoclonal antibody, 1:1000, Abcam, Cat# ab48004, RRID: AB_870576), anti-GFAP (mouse monoclonal antibody, 1:1000, Cell Signal Technology, Cat# 3670S, RRID: AB_561049), anti-Bax (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab32503, RRID: AB_725631), anti-Bcl-2 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab182858, RRID: AB_2715467), anti-cleaved caspase-3 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# 9664S, RRID: AB_2070042), anti-inducible nitric oxide synthase (iNOS; rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab3523, RRID: AB_303872), anti-CD206 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab64693, RRID: AB_1523910), anti-IL-1β (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab9722, RRID: AB_308765), anti-IL-6 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab233706, RRID: AB_2889391), anti-C3 (rabbit monoclonal antibody, 1:1000, Affinity Biosciences, Cat# DF13224, RRID: AB_2846243), anti-S100A10 (rabbit monoclonal antibody, 1:1000, Thermo Fisher Scientific, Cat# PA5-95505, RRID: AB_2807307), anti-IL-10 (rabbit monoclonal antibody, 1:1000, Cat# 20850-1-AP, RRID: AB_2878752, ProteinTec), anti-TGF-β (rabbit monoclonal antibody, 1:1000, ProteinTec, Cat# 21898-1-AP, RRID: AB_2811115), anti-NLRP3 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab263899, RRID: AB_2889890), anti-apoptosis-associated speck-like protein containing CARD (ASC; rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab155970, RRID: AB_2756836), anti-caspase-1 (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab207802, RRID: AB_2889889), anti-TrkB (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab18987, RRID: AB_444716), BDNF (rabbit monoclonal antibody, 1:1000, Abcam, Cat# ab108319, RRID: AB_10862052) or anti-β-actin (mouse monoclonal antibody, 1:1000, Proteintech, Cat# 66009-1-Ig, RRID: AB_2687938) at 4 °C overnight. The membrane was then incubated with horseradish peroxidase-conjugated goat anti-rabbit IgG (1:2000, Beyotime Biotechnology, Cat# A0208, RRID: AB_2892644), goat anti-mouse IgG (1:2000, Beyotime Biotechnology, Cat# A0216, RRID: AB_2860575) and donkey anti-goat IgG (1:2000, Abcam, Cat# ab6885, RRID: AB_955423) for 1 hour at 20–25°C. The membrane was rinsed three times with Tris-buffered saline and Tween 20 and then bands were detected by chemiluminescent horseradish peroxidase substrate (Cat#WBKLS0500, Millipore) using a chemiluminescence detection system (BioRad, Guangzhou, China). Band densities normalized to β-actin were quantified using ImageJ software.
Statistical analysis
No statistical methods were used to predetermine sample sizes; however, our sample sizes are similar to those reported in a previous publication (Ko and Lim, 2021). The evaluators were blinded to the animal genotypes. Statistical analysis was performed with GraphPad Prism 7.00 (GraphPad Software, San Diego, CA, USA, www.graphpad.com). Data were analyzed using Student’s t-test. Data are presented as mean ± standard deviation (SD). A P-value < 0.05 was considered statistically significant.
Results
SPARC-null mice exhibit motor dysfunction
SPARC-null mice showed worse results on the rotating rod test, heat pain threshold test, and inclined plate test compared with the WT mice (Figure 2A–C); however, there was no significant difference in the BMS main score (the weighted Kappa values of the two evaluators for BMS main and sub score were 0.863 and 0.875, respectively) (Figure 2D and E). These data imply that disc degeneration had more of an impact on muscle and sensation rather than a range of motion in nerve damage. Furthermore, gait analysis revealed significant differences in the speed between the two groups (Figure 2F). These data suggest that the absence of SPARC causes motor dysfunction in mice, which is one of the characteristics of CSCC.
The absence of SPARC induces disc herniation in mice
Magnetic resonance imaging (T2-weighted images) showed no disc degeneration in WT mice. In contrast, marked disc herniation and degeneration at almost all spine levels were seen in SPARC-null mice; compression was seen at different spinal cord levels, especially in the lumbar segments (Figure 3A). After sampling and spinal cord dissection, spinal cords from 11 SPARC-null mice were collected. Spinal cord compression was further confirmed in the lumbar segments in all cases, in the thoracic segments of seven cases, and in the cervical segments of four cases (Figure 3B); no compression was observed in the WT group.
Distribution of spinal cord cells in SPARC-null mice
Compression of the spinal cord was confirmed by hematoxylin and eosin staining (Figure 4A). Western blot showed that the expressions of NeuN and Olig2 in SPARC-null mice were significantly decreased, while Iba1 and GFAP expressions were significantly increased compared with levels in WT mice (Figure 4B). In addition, triple immunofluorescence staining and quantitative analysis demonstrated that neurons in the compression center were significantly reduced in SPARC-null mice. In addition, microglia/macrophages in WT mice were individually and sporadically scattered in the spinal cord, while those in SPARC-null mice were mostly limited in the injury center. Unlike microglia/macrophages, astrocytes were mainly expressed in the white matter of WT mice, while in SPARC-null mice, astrocytes were significantly increased in both gray and white matter and were not restricted to the injury center, above and below the compression center, respectively (Figure 4C and D). SPARC-null mice showed neuronal depletion, inflammation, and astrocyte hyperplasia.
The absence of SPARC causes apoptosis and demyelination in the spinal cord
TUNEL-positive cells were observed in neurons and oligodendrocytes of SPARC-null mice, while few TUNEL-positive cells were observed in WT mice (Figure 5A and B). Immunofluorescence staining indicated that the expressions of apoptosis-related proteins Bax and cleaved caspase-3 were increased in SPARC-null mouse neurons and increased cleaved caspase-3 was observed in oligodendrocytes compared with WT mice (Figure 5A and B). In addition, MBP is a protein widely distributed in oligodendrocytes and contains a variety of basic amino acids to maintain the stability of the structure and function of myelin sheath in the CNS (Müller et al., 2013), was less integrated in SPARC-null mice compared with WT mice (Figure 5C). The western blot results were consistent with the above results (Figure 5D). Therefore, our results suggested that the absence of SPARC in mice leads to apoptosis and demyelination in the spinal cord, which is one of the characteristics of CSCC.
SPARC-null mice exhibit neuroinflammation
After spinal cord compression, microglia/macrophages are activated and recruited to produce iNOS, IL-6, IL-1β, and other cytokines, which leads to neuroinflammation (Pei et al., 2017). As shown by immunofluorescence staining, few inactive microglia were distributed in the spinal cord of WT mice, while the levels of Iba1, IL-1β, and IL-6 (markers of M1 phenotype microglia/macrophages) were significantly increased in SPARC-null mice. Western blot results were consistent with the immunofluorescence results (Figure 6A and B). CD206 expression was also increased in SPARC-null mice compared with expression in WT mice, suggesting an increase in M2 phenotype microglia/macrophages (Ip et al., 2008; Bhargava et al., 2021) (Figure 6C and D). CD3+ T lymphocytes and CD11b+ macrophage-like positive cells also increased in SPARC-null mice (Figure 6E). These results indicate that the SPARC-null mice exhibited neuroinflammation; however, both M1 and M2 microglia/macrophages were polarized.
Astrocyte activation in SPARC-null mice
Astrocytes are the most widely distributed group of cells in the mammalian CNS and are involved in the formation of the blood-brain barrier. They also have an important role in neuroinflammation (Giovannoni and Quintana, 2020). Immunofluorescence staining showed that the expression of astrocyte marker GFAP was increased both in white and gray matter in SPARC-null mice compared with WT mice. PCNA (a hyperplasia marker (González-Magaña and Blanco, 2020)) and cytokines such as C3, IL-1β, and tumor necrosis factor-α (which represent A1 phenotype (Escartin et al., 2021)), S100A10, IL-10, and TGF-β (which represent the A2 type (Eroglu, 2009)) were significantly increased in SPARC-null mice (Figure 7 and Additional Figure 1 (3.6MB, tif) ). Therefore, the spinal cord compression induced by the absence of SPARC indirectly induces the activation of A1 and A2 phenotype astrocytes in the spinal cord.
SPARC-null mice exhibit activated NLRP3 inflammasomes
The inflammasome is a cellular signal receptor that senses neuropathological conditions. NLRP3 is an inflammasome that contains apoptosis-associated microprotein ASC and whose activation can lead to proteolysis of caspase-1. This, in turn, activates pro-inflammatory cytokines, such as IL-1β and IL-18, and causes neuroinflammation (Riaz et al., 2021). Immunofluorescence staining showed that NLRP3 expression was low in WT mice, while it was increased in SPARC-null mice, especially in the compression part (in both gray matter and white matter) (Figure 8A and B). These data were further confirmed by western blot (Figure 8C). Therefore, we concluded that the absence of SPARC in mice activates NLRP3 inflammasomes, which is one of the characteristics of CSCC.
The absence of SPARC inhibits the BDNF/TrkB signaling pathway
BDNF is the most abundant neurotrophic factor in the body and promotes the growth of neurons and the formation and stability of synapses in nerve cells in the brain. It also participates in cell differentiation, cell viability, and synaptic plasticity by binding to tyrosine kinase B (TrkB) (Numakawa and Odaka, 2021). Next, we examined whether spinal cord compression caused by the absence of SPARC inhibits the BDNF/TrkB pathway. Immunofluorescence staining results showed lower BDNF expression in the whole spinal cord of SPARC-null mice compared with WT mice. In SPARC-null mice, BDNF was decreased at the non-compression part, while the expression of BDNF was observed at the compression site; however, overall, it was declined in SPARC-null mice (Figure 9A and B). Western blot results also indicated a down-regulation of TrkB and BDNF expression in SPARC-null mice vs. WT mice (Figure 9C). In summary, our results suggested that the absence of SPARC inhibits the BDNF/TrkB signaling pathway.
Discussion
In this study, we evaluated whether SPARC-null mice might be a suitable animal model for investigating CSCC. Our data revealed significant motor dysfunction and significant radiographic and anatomical compression in SPARC-null mice. Furthermore, we found that compression of the spinal cord leads to apoptosis of neurons and oligodendrocytes, activation of M1 and M2 of microglia/macrophages, and activation of A1 and A2 of astrocytes. We also demonstrated that the neuronal death and microglial activation occur via the BDNF/TrkB signaling pathway. Finally, our results indicate that activation of the NLRP3 inflammasome may mediate microglial polarization and neuroinflammation.
To the best of our knowledge, this is the first study that reported compression of lumbar segments in the spine intervertebral disc compared with cervical or thoracic segments in SPARC knockout mice. This phenomenon is not unique to SPARC knockout mice. In a study by Alvarez-Garcia et al. (2017) of aging C57BL/6J mice (6, 12, 24, and 36 months of age), the authors detected an earlier onset of intervertebral disc degeneration in the lumbar region than in the cervical region of the spine. Gruber et al. (2002) evaluated the progression of wedging, narrowing, endplate calcification, and irregular disc margins of different disc levels in sand rats (2, 3, and 6 months old), a desert animal with lower body hydration and lower intervertebral disc water content compared with rats of other strains (Moskowitz et al., 1990). The authors concluded that lower lumbar sites were first involved, followed by involvement of higher discs with progressing age. Distal lumbar segments had significantly lower water content than more proximal segments. The lower water content was related to a lower fixed charge density, which was essential for the intervertebral disc matrix capacity of absorbing water in the sand rat (Ziv et al., 1992). Although there is no fixed charge density test related to the intervertebral disc test in mice or SPARC knockout mice, this may be a possible reason for the lower intervertebral disc and earlier degeneration in SPARC-null mice.
A previous study found no difference in rotarod results between normal and SPARC-null mice, in which the oldest SPARC-null mice group was only 9 months old (Millecamps et al., 2011). However, another study found decreased grip strength in 8-month-old SPARC-null mice compared with age-matched WT mice (Krock et al., 2018). Millecamps et al. (2015) reported that 12-month old or older SPARC-null mice displayed signs of impaired motor ability, which was evaluated using a rotating rod test. In this study, we found that 22–24-month-old SPARC-null mice showed worse results in the rotating rod test and inclined plate test compared with younger mice. The SPARC-null mice showed signs of degenerative disc degeneration two months after birth and signs of extensive disc degeneration after 2 years (Millecamps et al., 2015). The loss of spinal cord function caused by compression is a long-term process (Karadimas et al., 2015). First, the intervertebral disc protrudes and compresses the dura mater and finally compresses the spinal cord. The transition from spinal cord compression to spinal cord dysfunction is a long process. Similar processes are seen in humans (Matz et al., 2009). In cervical disc herniation, the occurrence of hand anesthesia and radiation pain is earlier than that of fine movement disorder, and walking difficulty occurs later than numbness and pain of both lower limbs (Bednarik et al., 2008). Therefore, for future studies of CSCC, mice older than 12 months should be selected.
Establishing a CSCC animal model that mimics the process of CSCC in humans is of crucial importance to explore the pathogenesis and treatment of CSCC. The current animal models of CSCC include the balloon compression model, screw compression model, tumor compression model, expandable material compression model, and Tiptoe-walking Yoshimura (Twy) mouse model. The degree of CSCC in the balloon compression model depends on the pressure provided by the balloon and the length of the compressed spinal cord. However, it is difficult to completely simulate the pathological process of CSCC using this model, as the repeated stimulation of the spinal cord by repeated inflation of the balloon can lead to acute and subacute injury. A similar problem is seen in the screw compression model (Tarlov et al., 1953; Lee et al., 2012).
The tumor compression model involves implanting tumor tissues into the epidural space that compress the spinal cord (Coman and deLong, 1951). The main limitation of this model is the uncontrolled growth of the tumor (both in size and direction).
The material compression model is a widely used model. Water-absorbable polyurethane polymer synthesized from isocyanates and polyols, polyvinyl alcohol–polyacrylamide hydrogel to single or double segments, synthetic aromatic polyether, and water-absorbing polyurethane elastomer have been successfully applied (Karadimas et al., 2013; Dhillon et al., 2016; Cheng et al., 2019; Sun et al., 2021; Yamamoto et al., 2021; Yao et al., 2022). However, if the material expands too fast, it can cause acute or subacute injury to the spinal cord. Another challenge is distinguishing inflammation caused by external materials from inflammation caused by compression. Moreover, the damage to the lamina during the operation is likely to destroy the stability of the spine (Long et al., 2013).
A compression device has been used in larger animals. Li et al. (2022) developed an intervertebral compression device connected with subcutaneous control modules that can be implanted into the C2–C3 intervertebral disk spaces of sheep and then connected by Bluetooth to an in vitro control system. The device can be easily controlled and may be used to simulate chronic cervical spinal cord compression in animals.
The Twy mouse is a transgenic mouse (Hosoda et al., 1981) that develops calcification deposits behind the cervical spine that gradually compresses the cervical spinal cord. However, as the compression site is limited to the cervical spine, the range of diseases that can be studied is limited to those related to the cervical vertebra. Furthermore, because of the relatively small amount of cervical pulp in mice, obtaining sufficient samples for protein analyses is challenging. Compared with the above models, Twy and SPARC-null mice are the only two non-invasive chronic progressive animal compression models. The course of disease in these models develops slowly, which is consistent with the pathological changes of chronic compression. While Twy mice are used to examine the CSCC caused by calcification of the ligamentum flavum, the SPARC-null mice reflect CSCC caused by disc degeneration, representing the major pathological factor of CSCC.
To the best of our knowledge, this is the first study that demonstrated that SPARC-deficiency in mice causes CSCC followed by disc herniation. However, this study has several limitations. Because of the limitations in samples and technology, this study did not use flow cytometry, which may determine the classification and number of cells in compressed tissue. In addition, because of individual differences between mice, there may be different levels of compression. The differing levels of compression may lead to the differing compression of the lumbar segment or whole spine.
SPARC is highly expressed by astrocytes and microglia during CNS development, but its level is reduced in adulthood (Eroglu, 2009). Interestingly, SPARC is upregulated in CNS injury and disease in brain tissue, as shown by middle cerebral artery occlusion in vivo and oxygen-glucose deprivation in in vitro experiments (Jones and Bouvier, 2014; Jones et al., 2018). Previous studies reported that astrocytes regulate synaptic connectivity in the CNS through secreted signals, hevin, and SPARC, which are regulators of excitatory synaptogenesis in vitro and in vivo. In a previous study, SPARC-null mice had increased synaptic connections in CNS injury, while hevin caused an opposite effect, suggesting that hevin is a positive and SPARC is a negative regulator of synapse formation. This further implied that astrocytes might control the formation, maturation, and plasticity of synapses in vivo through the regulation of hevin and SPARC (Jones et al., 2018). In contrast, increased microgliosis and enhanced functional recovery after photothrombotic stroke have been found in SPARC-null mice (Lloyd-Burton et al., 2013). Therefore, when using SPARC-null mice as a model of CSCC, it is also necessary to focus on the effect of SPARC knockout on the CNS.
Together, our data suggest that SPARC-null mice results in motor dysfunction, radiographic and anatomical compression, apoptosis and demyelination of neurons in the spinal cord, activation of M1 and M2 of microglia/macrophages, activation of A1 and A2 of astrocytes, activation of NLRP3 inflammasomes, and neuroinflammation. Therefore, SPARC-null mice may be used as a valuable model for studying CSCC in vivo.
Additional files:
Additional Figure 1 (3.6MB, tif) : Astrocyte activation in SPARC-null mice.
Additional Table 1: Score and operational definitions for the Basso Mouse Scale.
Additional Table 2: Score and operational definitions for the Basso Mouse Scale subscore.
Additional file 1: Open peer review reports 1 (99.4KB, pdf) and 2 (90.6KB, pdf) .
Footnotes
Funding: This work was supported by the National Natural Science Foundation of China, Nos. 82074454 (to XJC), 82174409 (to MY), 81930116 (to YJW), 81873317 (to XJC), the National Key R&D Program of China, No. 2018YFC1704300 (to YJW), the Natural Science Foundation of Shanghai, No. 20ZR1459000 (to MY).
Conflicts of interest: The authors declare no conflict of interest.
Availability of data and materials: All data generated or analyzed during this study are included in this published article and its supplementary information files.
Open peer reviewers: Ashley Noelle Dalrymple, University of Pittsburgh, USA; Elena Giusto, San Camillo Hospital, Italy.
P-Reviewers: Dalrymple AN, Giusto E; C-Editor: Zhao M; S-Editors: Yu J, Li CH; L-Editors: Yu J, Song LP; T-Editor: Jia Y
References
- 1.Adams BL, Guo W, Gors RT, Knopp KL. Pharmacological interrogation of a rodent forced ambulation model:leveraging gait impairment as a measure of pain behavior pre-clinically. Osteoarthritis Cartilage. 2016;24:1928–1939. doi: 10.1016/j.joca.2016.05.022. [DOI] [PubMed] [Google Scholar]
- 2.Alvarez-Garcia O, Matsuzaki T, Olmer M, Masuda K, Lotz MK. Age-related reduction in the expression of FOXO transcription factors and correlations with intervertebral disc degeneration. J Orthop Res. 2017;35:2682–2691. doi: 10.1002/jor.23583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bacova M, Bimbova K, Kisucka A, Lukacova N, Galik J. Epidural oscillating field stimulation increases axonal regenerative capacity and myelination after spinal cord trauma. Neural Regen Res. 2022;17:2730–2736. doi: 10.4103/1673-5374.339497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Basso DM, Fisher LC, Anderson AJ, Jakeman LB, McTigue DM, Popovich PG. Basso Mouse Scale for locomotion detects differences in recovery after spinal cord injury in five common mouse strains. J Neurotrauma. 2006;23:635–659. doi: 10.1089/neu.2006.23.635. [DOI] [PubMed] [Google Scholar]
- 5.Bednarik J, Kadanka Z, Dusek L, Kerkovsky M, Vohanka S, Novotny O, Urbanek I, Kratochvilova D. Presymptomatic spondylotic cervical myelopathy:an updated predictive model. Eur Spine J. 2008;17:421–431. doi: 10.1007/s00586-008-0585-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bhargava P, Kim S, Reyes AA, Grenningloh R, Boschert U, Absinta M, Pardo C, Van Zijl P, Zhang J, Calabresi PA. Imaging meningeal inflammation in CNS autoimmunity identifies a therapeutic role for BTK inhibition. Brain. 2021;144:1396–1408. doi: 10.1093/brain/awab045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bradshaw AD, Sage EH. SPARC, a matricellular protein that functions in cellular differentiation and tissue response to injury. J Clin Invest. 2001;107:1049–1054. doi: 10.1172/JCI12939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cheng X, Long H, Chen W, Xu J, Wang X, Li F. The correlation between hypoxia-inducible factor-1α, matrix metalloproteinase-9 and functional recovery following chronic spinal cord compression. Brain Res. 2019;1718:75–82. doi: 10.1016/j.brainres.2019.04.034. [DOI] [PubMed] [Google Scholar]
- 9.Coman DR, deLong RP. The role of the vertebral venous system in the spinal metastases of cancer. Am J Pathol. 1951;27:733. [PubMed] [Google Scholar]
- 10.Cui HY, Wu YX, Li R, Li GS, Hu Y. A translational study of somatosensory evoked potential time-frequency components in rats, goats, and humans. Neural Regen Res. 2021;16:2269–2275. doi: 10.4103/1673-5374.310693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Deacon RM. Measuring motor coordination in mice. J Vis Exp. 2013:e2609. doi: 10.3791/2609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dhillon RS, Parker J, Syed YA, Edgley S, Young A, Fawcett JW, Jeffery ND, Franklin RJ, Kotter MR. Axonal plasticity underpins the functional recovery following surgical decompression in a rat model of cervical spondylotic myelopathy. Acta Neuropathol Commun. 2016;4:89. doi: 10.1186/s40478-016-0359-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Dyck PJ, Zimmerman IR, Johnson DM, Gillen D, Hokanson JL, Karnes JL, Gruener G, O'Brien PC. A standard test of heat-pain responses using CASE IV. J Neurol Sci. 1996;136:54–63. doi: 10.1016/0022-510x(95)00277-9. [DOI] [PubMed] [Google Scholar]
- 14.Eroglu C. The role of astrocyte-secreted matricellular proteins in central nervous system development and function. J Cell Commun Signal. 2009;3:167–176. doi: 10.1007/s12079-009-0078-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Escartin C, Galea E, Lakatos A, O'Callaghan JP, Petzold GC, Serrano-Pozo A, Steinhäuser C, Volterra A, Carmignoto G, Agarwal A, Allen NJ, Araque A, Barbeito L, Barzilai A, Bergles DE, Bonvento G, Butt AM, Chen WT, Cohen-Salmon M, Cunningham C, et al. Reactive astrocyte nomenclature, definitions, and future directions. Nat Neurosci. 2021;24:312–325. doi: 10.1038/s41593-020-00783-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ge L, Arul K, Ikpeze T, Baldwin A, Nickels JL, Mesfin A. Traumatic and nontraumatic spinal cord injuries. World Neurosurg. 2018;111:e142–e148. doi: 10.1016/j.wneu.2017.12.008. [DOI] [PubMed] [Google Scholar]
- 17.Giovannoni F, Quintana FJ. The role of astrocytes in CNS inflammation. Trends Immunol. 2020;41:805–819. doi: 10.1016/j.it.2020.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.González-Magaña A, Blanco FJ. Human PCNA structure, function and interactions. Biomolecules. 2020;10:570. doi: 10.3390/biom10040570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gruber HE, Johnson T, Norton HJ, Hanley EN., Jr The sand rat model for disc degeneration:radiologic characterization of age-related changes:cross-sectional and prospective analyses. Spine (Phila Pa 1976) 2002;27:230–234. doi: 10.1097/00007632-200202010-00004. [DOI] [PubMed] [Google Scholar]
- 20.Gruber HE, Sage EH, Norton HJ, Funk S, Ingram J, Hanley EN., Jr Targeted deletion of the SPARC gene accelerates disc degeneration in the aging mouse. J Histochem Cytochem. 2005;53:1131–1138. doi: 10.1369/jhc.5A6687.2005. [DOI] [PubMed] [Google Scholar]
- 21.Hosoda Y, Yoshimura Y, Higaki S. A new breed of mouse showing multiple osteochondral lesions--twy mouse. Ryumachi. 1981;21(Suppl):157–164. [PubMed] [Google Scholar]
- 22.Ip CW, Kohl B, Kleinschnitz C, Reuss B, Nave KA, Kroner A, Martini R. Origin of CD11b+macrophage-like cells in the CNS of PLP-overexpressing mice:low influx of haematogenous macrophages and unchanged blood-brain-barrier in the optic nerve. Mol Cell Neurosci. 2008;38:489–494. doi: 10.1016/j.mcn.2008.04.009. [DOI] [PubMed] [Google Scholar]
- 23.Jin L, Balian G, Li XJ. Animal models for disc degeneration-an update. Histol Histopathol. 2018;33:543–554. doi: 10.14670/HH-11-910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Jones EV, Bouvier DS. Astrocyte-secreted matricellular proteins in CNS remodelling during development and disease. Neural Plast. 20142014:321209. doi: 10.1155/2014/321209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Jones EV, Bernardinelli Y, Zarruk JG, Chierzi S, Murai KK. SPARC and GluA1-containing AMPA receptors promote neuronal health following CNS injury. Front Cell Neurosci. 2018;12:22. doi: 10.3389/fncel.2018.00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Karadimas SK, Gatzounis G, Fehlings MG. Pathobiology of cervical spondylotic myelopathy. Eur Spine J 24 Suppl. 2015;2:132–138. doi: 10.1007/s00586-014-3264-4. [DOI] [PubMed] [Google Scholar]
- 27.Karadimas SK, Moon ES, Yu WR, Satkunendrarajah K, Kallitsis JK, Gatzounis G, Fehlings MG. A novel experimental model of cervical spondylotic myelopathy (CSM) to facilitate translational research. Neurobiol Dis. 2013;54:43–58. doi: 10.1016/j.nbd.2013.02.013. [DOI] [PubMed] [Google Scholar]
- 28.Ko MJ, Lim CY. General considerations for sample size estimation in animal study. Korean J Anesthesiol. 2021;74:23–29. doi: 10.4097/kja.20662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Krock E, Millecamps M, Currie JB, Stone LS, Haglund L. Low back pain and disc degeneration are decreased following chronic toll-like receptor 4 inhibition in a mouse model. Osteoarthritis Cartilage. 2018;26:1236–1246. doi: 10.1016/j.joca.2018.06.002. [DOI] [PubMed] [Google Scholar]
- 30.Krock E, Millecamps M, Anderson KM, Srivastava A, Reihsen TE, Hari P, Sun YR, Jang SH, Wilcox GL, Belani KG, Beebe DS, Ouellet J, Pinto MR, Kehl LJ, Haglund L, Stone LS. Interleukin-8 as a therapeutic target for chronic low back pain:Upregulation in human cerebrospinal fluid and pre-clinical validation with chronic reparixin in the SPARC-null mouse model. EBioMedicine. 2019;43:487–500. doi: 10.1016/j.ebiom.2019.04.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lee BS, Kim O, Ham D. Epidemiologic changes in nontraumatic spinal cord injury for the last 30 years (1990-2019) in South Korea. Spinal Cord. 2022;60:268–273. doi: 10.1038/s41393-021-00695-5. [DOI] [PubMed] [Google Scholar]
- 32.Lee J, Satkunendrarajah K, Fehlings MG. Development and characterization of a novel rat model of cervical spondylotic myelopathy:the impact of chronic cord compression on clinical, neuroanatomical, and neurophysiological outcomes. J Neurotrauma. 2012;29:1012–1027. doi: 10.1089/neu.2010.1709. [DOI] [PubMed] [Google Scholar]
- 33.Li Z, Zhai S, Liu S, Chen C, Guo X, Hu P, Wang B, Zhang Y, Wei F, Liu Z. A sheep model of chronic cervical compressive myelopathy via an implantable wireless compression device. Eur Spine J. 2022 doi: 10.1007/s00586-022-07138-6. doi:10.1007/s00586-022-07138-6. [DOI] [PubMed] [Google Scholar]
- 34.Libich DS, Ahmed MA, Zhong L, Bamm VV, Ladizhansky V, Harauz G. Fuzzy complexes of myelin basic protein:NMR spectroscopic investigations of a polymorphic organizational linker of the central nervous system. Biochem Cell Biol. 2010;88:143–155. doi: 10.1139/o09-123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lloyd-Burton SM, York EM, Anwar MA, Vincent AJ, Roskams AJ. SPARC regulates microgliosis and functional recovery following cortical ischemia. J Neurosci. 2013;33:4468–4481. doi: 10.1523/JNEUROSCI.3585-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Long HQ, Li GS, Lin EJ, Xie WH, Chen WL, Luk KD, Hu Y. Is the speed of chronic compression an important factor for chronic spinal cord injury rat model? Neurosci Lett. 2013;545:75–80. doi: 10.1016/j.neulet.2013.04.024. [DOI] [PubMed] [Google Scholar]
- 37.Matz PG, Anderson PA, Holly LT, Groff MW, Heary RF, Kaiser MG, Mummaneni PV, Ryken TC, Choudhri TF, Vresilovic EJ, Resnick DK. Joint Section on Disorders of the Spine and Peripheral Nerves of the American Association of Neurological Surgeons and Congress of Neurological Surgeons 2009. The natural history of cervical spondylotic myelopathy. J Neurosurg Spine. 11:104–111. doi: 10.3171/2009.1.SPINE08716. [DOI] [PubMed] [Google Scholar]
- 38.Millecamps M, Tajerian M, Sage EH, Stone LS. Behavioral signs of chronic back pain in the SPARC-null mouse. Spine (Phila Pa 1976) 2011;36:95–102. doi: 10.1097/BRS.0b013e3181cd9d75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Millecamps M, Czerminski JT, Mathieu AP, Stone LS. Behavioral signs of axial low back pain and motor impairment correlate with the severity of intervertebral disc degeneration in a mouse model. Spine J. 2015;15:2524–2537. doi: 10.1016/j.spinee.2015.08.055. [DOI] [PubMed] [Google Scholar]
- 40.Miyagi M, Millecamps M, Danco AT, Ohtori S, Takahashi K, Stone LS. ISSLS Prize winner:increased innervation and sensory nervous system plasticity in a mouse model of low back pain due to intervertebral disc degeneration. Spine (Phila Pa 1976) 2014;39:1345–1354. doi: 10.1097/BRS.0000000000000334. [DOI] [PubMed] [Google Scholar]
- 41.Moskowitz RW, Ziv I, Denko CW, Boja B, Jones PK, Adler JH. Spondylosis in sand rats:a model of intervertebral disc degeneration and hyperostosis. J Orthop Res. 1990;8:401–411. doi: 10.1002/jor.1100080312. [DOI] [PubMed] [Google Scholar]
- 42.Müller C, Bauer NM, Schäfer I, White R. Making myelin basic protein -from mRNA transport to localized translation. Front Cell Neurosci. 2013;7:169. doi: 10.3389/fncel.2013.00169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.New PW, Cripps RA, Bonne Lee B. Global maps of non-traumatic spinal cord injury epidemiology:towards a living data repository. Spinal Cord. 2014;52:97–109. doi: 10.1038/sc.2012.165. [DOI] [PubMed] [Google Scholar]
- 44.Niemi-Nikkola V, Koskinen E, Väärälä E, Kauppila AM, Kallinen M, Vainionpää A. Incidence of acquired nontraumatic spinal cord injury in Finland:a 4-year prospective multicenter study. Arch Phys Med Rehabil. 2021;102:44–49. doi: 10.1016/j.apmr.2020.08.015. [DOI] [PubMed] [Google Scholar]
- 45.Numakawa T, Odaka H. Brain-derived neurotrophic factor signaling in the pathophysiology of alzheimer's disease:beneficial effects of flavonoids for neuroprotection. Int J Mol Sci. 2021;22:5719. doi: 10.3390/ijms22115719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Ocal O, Borcek AO, Pasaoglu O, Gundogdu AC, Kaplanoglu GT, Baykaner MK. Can quercetin be an option for treatment of spinal cord injury?An experimental study. Turk Neurosurg. 2019;29:247–253. doi: 10.5137/1019-5149.JTN.23799-18.1. [DOI] [PubMed] [Google Scholar]
- 47.Pei JP, Fan LH, Nan K, Li J, Dang XQ, Wang KZ. HSYA alleviates secondary neuronal death through attenuating oxidative stress, inflammatory response, and neural apoptosis in SD rat spinal cord compression injury. J Neuroinflammation. 2017;14:97. doi: 10.1186/s12974-017-0870-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Riaz M, Rehman AU, Shah SA, Rafiq H, Lu S, Qiu Y, Wadood A. Predicting multi-interfacial binding mechanisms of NLRP3 and ASC pyrin domains in inflammasome activation. ACS Chem Neurosci. 2021;12:603–612. doi: 10.1021/acschemneuro.0c00519. [DOI] [PubMed] [Google Scholar]
- 49.Riley HJ, Bradshaw AD. The influence of the extracellular matrix in inflammation:findings from the SPARC-null mouse. Anat Rec (Hoboken) 2020;303:1624–1629. doi: 10.1002/ar.24133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Rivlin AS, Tator CH. Objective clinical assessment of motor function after experimental spinal cord injury in the rat. J Neurosurg. 1977;47:577–581. doi: 10.3171/jns.1977.47.4.0577. [DOI] [PubMed] [Google Scholar]
- 51.Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ:25 years of image analysis. Nat Methods. 2012;9:671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Sun GD, Chen Y, Zhou ZG, Yang SX, Zhong C, Li ZZ. A progressive compression model of thoracic spinal cord injury in mice:function assessment and pathological changes in spinal cord. Neural Regen Res. 2017;12:1365–1374. doi: 10.4103/1673-5374.213693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Sun YL, Li G, Zheng Z, Yao M, Cui JW, Liu SF, Zhou LY, Sng KS, Cui XJ, Wang YJ. A neuronal apoptosis model induced by spinal cord compression in rat. J Vis Exp. 2021:e62604. doi: 10.3791/62604. [DOI] [PubMed] [Google Scholar]
- 54.Tajerian M, Millecamps M, Stone LS. Morphine and clonidine synergize to ameliorate low back pain in mice. Pain Res Treat. 2012;2012:150842. doi: 10.1155/2012/150842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Tajerian M, Alvarado S, Millecamps M, Dashwood T, Anderson KM, Haglund L, Ouellet J, Szyf M, Stone LS. DNA methylation of SPARC and chronic low back pain. Mol Pain. 2011;7:65. doi: 10.1186/1744-8069-7-65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tarlov IM, Klinger H, Vitale S. Spinal cord compression studies. I. Experimental techniques to produce acute and gradual compression. AMA Arch Neurol Psychiatry. 1953;70:813–819. [PubMed] [Google Scholar]
- 57.Tatsui CE, Lee SH, Amini B, Rao G, Suki D, Oro M, Brown PD, Ghia AJ, Bhavsar S, Popat K, Rhines LD, Stafford RJ, Li J. Spinal laser interstitial thermal therapy:a novel alternative to surgery for metastatic epidural spinal cord compression. Neurosurgery 79 Suppl. 2016;1:S73–S82. doi: 10.1227/NEU.0000000000001444. [DOI] [PubMed] [Google Scholar]
- 58.Tu J, Vargas Castillo J, Das A, Diwan AD. Degenerative cervical myelopathy:insights into its pathobiology and molecular mechanisms. J Clin Med. 2021;10:1214. doi: 10.3390/jcm10061214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vervoordeldonk JJ, Post MW, New P, Clin Epi M, Van Asbeck FW. Rehabilitation of patients with nontraumatic spinal cord injury in the Netherlands:etiology, length of stay, and functional outcome. Top Spinal Cord Inj Rehabil. 2013;19:195–201. doi: 10.1310/sci1903-195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wang SG, Cai TC, Feng XM, Nan LP, Wang F, Zhu L, Chen D, Zhang L. Meta-analysis of adverse events between anterior and posterior fusion surgery for multiple-level cervical spondylosis. Zhongguo Zuzhi Gongcheng Yanjiu. 2021;25:4907–4914. [Google Scholar]
- 61.Whittal MC, Molladavoodi S, Zwambag DP, Millecamps M, Stone LS, Gregory DE. Mechanical consequence of induced intervertebral disc degeneration in the SPARC-null mouse. J Biomech Eng. 2021;143:024501. doi: 10.1115/1.4047995. [DOI] [PubMed] [Google Scholar]
- 62.Yamamoto S, Kurokawa R, Kim P. Postdecompressive spinal cord blood flow increments in a cervical chronic myelopathy model in rats. J Neurosurg Spine. 2021 doi: 10.3171/2020.11.SPINE201194. doi:10.3171/2020.11. SPINE201194. [DOI] [PubMed] [Google Scholar]
- 63.Yao M, Li G, Zhou LY, Zheng Z, Sun YL, Liu SF, Wang YJ, Cui XJ. Shikonin inhibits neuronal apoptosis via regulating endoplasmic reticulum stress in the rat model of double-level chronic cervical cord compression. Cell Biol Toxicol. 2022 doi: 10.1007/s10565-021-09648-3. doi:10.1007/s10565-021-09648-3. [DOI] [PubMed] [Google Scholar]
- 64.Ziv I, Moskowitz RW, Kraise I, Adler JH, Maroudas A. Physicochemical properties of the aging and diabetic sand rat intervertebral disc. J Orthop Res. 1992;10:205–210. doi: 10.1002/jor.1100100207. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.