Low back pain (LBP) is a prevalent symptom affecting almost all age groups and is the leading cause of physical disabilities worldwide, according to the 2021 Global Burden of Disease study. The incidence of LBP is relatively higher among women than men. Notably, with the aging population, the prevalence of LBP is expected to increase significantly by 2050 (1). In 2018, a series of Lancet publications defined LBP more as a symptom than a disease that could be associated with a wide range of underlying disease conditions or physical abnormalities. LBP is characterized by pain between the lower rib edge and gluteal folds, often extending to lower limbs (2). Etiologically, LBP can be categorized into specific and non-specific types (3). Specific LBP has identifiable pathological causes such as tumors, infections, metabolic diseases, inflammatory arthritis, and fractures (4). While, non-specific LBP, accounting for 90% of cases, arises from unknown pathological or anatomical causes (3, 5).
LBP may involve several etiopathological factors, including intervertebral disc (IVD) degeneration, ligament overstretching, nerve root compression, and paraspinal muscle (PSM) degeneration (6). IVD degeneration, a primary cause of LBP symptoms, affects approximately 26%–42% of patients (7). IVD degeneration is characterized by an imbalance between synthesis and degradation processes in the IVD. The pathological hallmarks of IVD degeneration include alterations in extracellular matrix components, loss of proteoglycans and water content in the nucleus pulposus, protrusions of the nucleus pulposus, tears in the annulus fibrosus, and a subsequent reduction in the disc height (8, 9).
Furthermore, PSM pathology or degeneration can lead to LBP symptom onset (10). PSM, such as psoas, multifidus, and erector spinae, are vital for spinal stability and mobility (11). The multifidus muscle, which extends nearly the entire length of the spine, is especially susceptible to wear and degeneration (9). The quality and integrity of PSM are generally assessed by measuring the muscle cross-sectional area (CSA) and fat infiltration (FI) rate, where CSA indicates the muscle size and FI reveals the extent of fat deposition in muscles, serving as the key determining factor for PSM degeneration development (12). Importantly, Urrutia et al. revealed a direct correlation between PMS-FI and the extent of IVD degeneration (13).
Compared to healthy individuals, non-specific LBP patients often exhibit significant tissue-level differences in multifidus muscle structures, including variations in muscle fiber type compositions, fiber diameter, and CSA (14). Adult mammalian skeletal muscles typically consist of three primary fiber types, categorized by their functional and metabolic traits: type I (slow-twitch), type IIA (fast-twitch oxidative), and type IIX (formerly known as type IIB, fast-twitch glycolytic) (15). Mannion et al. demonstrate that the PSM is predominantly composed of type I fibers. For instance, in males, the thoracic PSM shows a distribution pattern of 62.0% type I, 26.8% type IIA, and 10.9% type IIX, and the lumbar region contains 65.0% type I, 24.2% type IIA, and 9.6% type IIX; while in females, thoracic PSM includes 67.8% type I, 27.3% type IIA, and 4.6% type IIX, and the lumbar region muscle comprises of 63.6% type I, 26.9% type IIA, and 9.0% type IIX fibers, reflecting optimal skeletal muscle fiber compositions for different genders and anatomical locations (15). whereas, LBP patients exhibit a marked increase in type IIX fibers and a concomitant reduction in type I fibers (15).
Therefore, more in-depth foundational studies are warranted to elucidate the relationship between multifidus and the onset of non-specific LBP. Due to ethical constraints, certain studies cannot be conducted on humans, necessitating the application of relevant animal models to mimic human disease progression and investigate potential therapeutic avenues. This approach has significantly advanced the field of animal model research (16). However, the underlying pathomechanism of IVD degeneration in the multifidus muscle, leading to LBP, remains unclear. Consequently, animal models are vital for further processes and exploring future therapies (17). Commonly used animal models for IVD degeneration include rodents, rabbits, dogs, sheep, pigs, and primates (18). Although most literature reviews mainly focused on analyzing structural changes in the multifidus muscle of LBP patients (14, 19), no systematic review has addressed the challenges in selecting appropriate animal models of IVD degeneration. Therefore, we conducted this systematic review of published research studies involving animal models to assess macroscopic and microscopic structural changes in the multifidus muscle in the context of IVD degeneration, aiming to establish an improved and standardized method for IVD degeneration model construction and evaluation. This study lays the foundation for further investigation of the pathological implication of PSM degeneration in subsequent induction of IVD degeneration.
2 Materials and methods 2.1 MethodologyThis systematic review was conducted by strictly adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, as described in Supplementary Appendix 1 (20). Given the nature of this systematic review of published research articles, this study was waived for the requirement of ethical approval.
2.2 Eligibility criteria 2.2.1 Inclusion criteriaResearch studies were included for analysis only if they met the following criteria: (1) focused on animal models of IVD degeneration, without any species, age, or gender restrictions; (2) provided a detailed description of experimental methods highlighting the impact of IVD degeneration on secondary multifidus degeneration, especially structural changes, in a diseased animal model; (3) reported at least one of the following outcomes: mass of multifidus muscle, FI, stiffness, fiber type composition, and fiber CSA; and (4) published in the English language in a peer-reviewed journal indexed in the concerned databases.
2.2.2 Exclusion criteriaStudies meeting any of the following criteria were excluded: (1) studies without original data; (2) studies lacking either an IVD degeneration animal model or documentation of structural changes in the multifidus muscle; (3) studies with an inadequate, unclear, or insufficient description of methods; and (4) duplicate or very similar studies.
2.3 Information sourcesAfter establishing the inclusion and exclusion criteria for this study, two researchers conducted a comprehensive systematic search across several electronic medical databases, including PubMed, EMBASE, Web of Science (WoS), Cochrane Library, and MEDLINE Ovid. Literature searches were continued through November 2023, with articles systematically screened based on titles, abstracts, and full texts. Additionally, manual searches of the reference lists of identified studies ensured that no relevant research studies were overlooked.
2.4 Search strategyThe search strategy for this study was developed based on PubMed guidelines. To minimize the risk of omitting relevant literature, we employed “MeSH” terms to define specific search topics. We used Boolean operators AND and OR to combine MeSH terms with other search terms, refining the scope of the search and enhancing the precision of the results. This strategy was adapted to the specific requirements of the other four databases, as detailed in Supplementary Appendix 2.
2.5 Selection processThe study selection process was conducted independently by two researchers, strictly adhering to the inclusion and exclusion criteria. Full-length research articles were progressively screened based on the title, abstract, and full text, followed by cross-checking the results after the initial screening phase. Subsequent refinements and verifications were performed by the third and fourth reviewers. In cases of disagreement, the researchers first discussed the discrepancy to reach a consensus. If the matter was not resolved, an tenth researcher was introduced to the team to make the final decision.
2.6 Data items and extractionAfter completing the full-text screening, data extraction was independently carried out by two researchers from the selected studies. The extracted data were then compared and verified for integrity and accuracy by two additional researchers. Any discrepancies were resolved through discussions or consultation with a senior researcher. Collected data included essential details such as the first author, affiliations, publication year, study title, and research objectives, in addition to specifics about the study animals, including species, gender, age, and body weight, as well as general study characteristics, sample size, modeling methods, control groups, observation period, vertebral level, and assessment methods. The primary outcomes were muscle mass, CSA, FI, stiffness, fiber type composition, and fiber CSA. A comprehensive summary of these details is available in Supplementary Table 1.
2.7 Risk of bias assessmentTwo researchers rigorously evaluated the quality and risk of bias of selected studies using the Systematic Review Centre for Laboratory Animal Experimentation's Risk of Bias (SYRCLE's RoB) tool (21), which assessed six domains, namely selection bias, performance bias, detection bias, attrition bias, reporting bias, and other biases. These domains were then divided into ten items and supplemented with a list of additional signaling questions to facilitate the assessment. The ratings of “yes,” “no,” or “unclear” answers corresponded to low, high, and unclear biases, respectively, where a higher number of “yes” responses indicated a higher study quality. Any discrepancies during the evaluation were resolved by a senior researcher. The assessments were performed using Review Manager (RevMan) version 5.4 software. Detailed results can be found in Supplementary Figure 1.
3 Results 3.1 Study selectionAfter conducting an extensive systematic search across multiple electronic medical databases, we initially identified 89 relevant studies from PubMed (n = 14), EMBASE (n = 16), WoS (n = 46), Cochrane Library (n = 0), and MEDLINE Ovid (n = 13). Another study was identified through citation searching and included in the screening process. After removing 34 duplicate articles, 56 studies were screened for title and abstract relevance. Then, 20 studies were screened out for the full-text analysis. Next, 11 articles were excluded based on inclusion and exclusion criteria as decided by two researchers. Finally, nine studies met the PRISMA standards and were included in the systematic review (22–30). The complete screening process and specific reasons for exclusions/inclusions at each stage are illustrated in Supplementary Figure 2.
3.2 Study characteristicsThe studies selected for the final analysis encompassed a publication span of 35 years, from 1988 (22) to 2022 (23, 29). Notably, two-thirds of those articles (6 out of 9) shared a common author, Paul W. Hodges (24, 25, 27–30) Detailed characteristics of the included studies are summarized in Supplementary Table 1.
3.2.1 Animal models and modeling methodsThis analysis included nine studies that categorized animal models of IVD degeneration by species. Notably, mice and rats were the most common species used in four studies (44.45%) (22, 23, 25, 28). The second most prevalent model was the castrated Merino sheep, utilized in three studies (33.33%) (24, 27, 29). The remaining two studies employed New Zealand white rabbits (26) or domestic pigs (30) as models in each study (11.11%). Moreover, all nine studies comprehensively detailed the methodologies for constructing IVD degeneration rodent models. The most frequently used method was the surgical blade injury (55.56%) (24, 25, 27, 29, 30), followed by needle puncture (33.33%) (23, 26, 28). One study combined needle puncture with a spontaneous degeneration model (28). Another distinct approach was the use of upper limb amputation establishing a bipedal walking rat model (22). Detailed results of the studies are presented in Supplementary Table 1.
3.2.2 Observation time and vertebral levelThe observation periods in nine studies varied from three days (30) to 18 months (22) post-injury, based on the species type. Notably, four studies (44.44%) (23, 24, 27, 29) commonly selected the six months post-injury observation time point. For post-operative specimen collection and radiological evaluations, rodents were examined from L3 to S1 (22, 23, 25, 28), with L4 and L5 being the most frequently assessed segments in all four rodent studies; castrated Merino sheep were evaluated for L1-2, L3-4, and L5-6 segments in three studies (24, 27, 29); New Zealand white rabbits were assessed for L2-3 and L4-5 (26), and domestic pigs for L3-4 (30) segmental degeneration pathology. It is noteworthy that segments L4 and L5 were the most commonly evaluated regions across various species. Detailed results of the studies are presented in Supplementary Table 1.
3.2.3 Macroscopic changesThis study encompasses nine research articles that macroscopically assessed the multifidus muscle using various parameters: muscle mass in one study (11.11%) (25), CSA in two studies (22.22%) (27, 30), FI in four studies (44.44%) (23, 26, 27, 30), and stiffness in one study (11.11%) (26). The detailed evaluation results are described below.
3.2.3.1 Muscle massOf the nine included studies, only one investigated multifidus muscle mass. Maas et al. developed an adult male Wistar rat model of IVD degeneration by surgically inducing damage at the L4/L5 segments. Then, bilateral multifidus muscle samples were collected from L3/L4, L4/L5, and L5/L6 segments at 7, 14, and 28 days post-injury to measure their mass. The findings revealed that the multifidus muscle mass in the IVD degeneration group was significantly reduced by 20% compared to the control group, in seven days post-surgery (p < 0.05) (25). However, the difference was not statistically significant between the groups on days 14 and 28 post-surgery (p > 0.05) (25). Detailed results of the studies are presented in Supplementary Table 1.
3.2.3.2 CSATwo of the nine studies assessed the CSA of multifidus muscles for any potential muscle atrophy. Hodges et al. conducted these studies first using a domestic pig model (30) and later with a castrated Merino sheep model (27). Both studies measured bilateral CSA through ultrasound (30) and histological techniques (27) to distinguish between damaged and non-damaged muscle sides in respective animal models. However, those studies revealed inconsistent findings such that the 2006 study reported a significant (17%) reduction in CSA at the L4 spinous process on the damaged side three days post L3-L4 IVD injury (p < 0.001) (30), whereas the 2015 study found no significant changes in CSA six months post-injury following left-sided IVD surgery at levels L1-2, L3-4, and L5-6. Furthermore, histological analysis confirmed the absence of any insignificant increases in CSA (p = 0.315) (27). Detailed results of the studies are presented in Supplementary Table 1.
3.2.3.3 FIFour studies investigated the extent of FI of the multifidus muscle using histological methods (23, 26, 27, 30). One study also employed the quantitative magnetic resonance imaging (qMRI) technique to scan the multifidus muscle (23) and analyzed the data using vendor-supplied algorithms to determine the proton density fat fraction (PDFF). These studies uniformly concluded that there was an increase in intramuscular gaps, enhanced accumulation of intermuscular fat, a larger CSA of fat tissue, and more severe FI in the multifidus muscle. Detailed results of the studies are presented in Supplementary Table 1.
3.2.3.4 StiffnessOne of the nine studies reviewed assessed the stiffness of the multifidus muscle (26). Brown et al. performed passive mechanical tests on the multifidus muscle at the L3 and L7 levels of New Zealand white rabbits, revealing a significant increase in stiffness at these levels. Of note, a higher stiffness was observed in the 12-week IVD degeneration group compared to both the 4-week IVD degeneration and control groups (p < 0.0001). Detailed results of the studies are presented in Supplementary Table 1.
3.2.4 Microscopic changesOut of nine studies, six studies assessed microstructural alterations in the multifidus muscle fibers in terms of fiber type compositions (66.67%) (22, 24, 26–29) and diameter or CSA (33.33%) (27–29) The specific results of these evaluations are presented below:
3.2.4.1 Fiber type compositionSix of the nine studies assessed the fiber type composition of the multifidus muscle (22, 24, 26–29)—two studies employed histopathological (22, 29) and the other four applied immunohistochemical (IHC) techniques (24, 26–28) Three studies found that IVD degeneration animals had a significantly decreased proportion of type I fibers, whereas type II fibers exhibited a significant increase (22, 24, 28). Notably, the other three studies presented contradictory findings, observing no statistically significant changes in muscle fiber compositions at specified post-modeling time points. Particularly, Brown et al. reported no significant differences in type I fiber percentages between the control and 12-week IVD degeneration groups but not between the L3 and L7 segments (26). Hodges et al. also demonstrated no significant changes in fiber type ratios in three months post-modeling (all p > 0.153) (27). Similarly, James et al. could not detect any significant differences in the proportions of the nuclear bag (p = 0.25) and chain fibers (p = 0.31) between the control and IVD degeneration groups (29). Detailed results of the studies are presented in Supplementary Table 1.
3.2.4.2 Fiber size or CSAAmong the three studies examining the diameter or CSA of multifidus muscle fibers, two conducted IHC (27, 28) and one employed histological methods (29). Interestingly, the experimental outcomes of these studies led to different conclusions. Hodges et al. found no statistically significant differences in CSA of type I fibers between the control and IVD degeneration groups at three (all p > 0.114) and six months (all p > 0.605) post-injury (27). In contrast, James et al. reported a significantly lower CSA of type I fibers in the IVD degeneration group compared to the control group (p < 0.005) (28). However, the same author observed no significant changes in the CSA of nuclear bag fibers (p = 0.45) between the groups in a later study, although the CSA of nuclear chain fibers was significantly larger in the IVD degeneration group (p = 0.020) (29). Detailed results of the studies are presented in Supplementary Table 1.
3.3 Risk of biasTwo researchers independently assessed the quality of nine animal model-related studies using the SYRCLE's RoB tool, which revealed a lower risk of bias in 36.67%, an unclear risk in 58.89%, and a higher risk in 4.44% of cases. Concerning the selection bias, all studies failed to adequately describe random sequence generation and allocation concealment, thereby receiving an “unclear risk of bias” rating. Of these, three studies (33.33%) (24, 27, 29) reported balanced baseline characteristics between the control and experimental groups, meriting a “low risk of bias.” In the area of performance bias, four studies (44.44%) (23–25, 27) ensured that experimental animals were housed under identical conditions, aligning with randomization principles and thus were also rated as “low risk of bias.” However, three studies (33.33%) (26, 29, 30) did not disclose the living conditions of the experimental animals, resulting in an “unclear risk of bias”, and two studies (22.22%) (22, 28) reporting their study animal housing in different environments were designated with a “high risk of bias.” Furthermore, the majority (88.89%) (23–30) of studies did not specify whether blinding was implemented for animal caregivers and researchers, thus resulting in an “unclear risk of bias” rating. Only one study (11.11%) (22) explicitly mentioned the inability to blind personnel due to the special design of cages and was marked as “high risk of bias”. Regarding the detection bias, none of these studies detailed the implementation of proper randomization methods for selecting animals for outcome assessment, leading to an “unclear risk of bias.” Additionally, four studies (44.44%) (22, 26, 29, 30) which blinded their outcome assessors, were classified as “low risk of bias,” while the remaining five (55.56%) studies (23–25, 27, 28) did not clarify this point, thus receiving an “unclear risk of bias” recognition. Regarding the attrition bias evaluation, one study (11.11%) (28) reported having an incomplete dataset due to unexpected death or exclusion of animals without addressing the impact on study integrity, earning a “high risk of bias.” Four studies (22, 25, 27, 30) reported complete outcome data and were thus assessed as “low risk of bias,” whereas the other four (23, 24, 26, 29) lacked explicit reporting on data completeness, resulting in an “unclear risk of bias.” All studies were evaluated as “low risk” for reporting and other biases. Detailed results of the bias risk assessments are available in Supplementary Figure 1.
4 DiscussionGlobally, LBP is a common clinical symptom and ranks among the top ten reasons for visiting emergency departments, including in the United States and Canada. LBP can significantly diminish the patient's work capacity and quality of life (QoL) while consuming substantial healthcare resources. Current statistical analyses indicate a lifetime prevalence of 39.9% ± 24.3% of LBP, with higher incidence rates in elderly females (40–80 years) (31–34). Despite incomplete understanding of its pathogenesis, IVD and PMS degeneration are recognized as crucial contributors. Recently, a study investigated the relationship between PSM quality and LBP (9), highlighting PMS's role in spinal stability and function. Deterioration in PMS, characterized by reduced CSA, increased FI, and fiber type transformation, exacerbates LBP. Previous studies have examined the causal relationship between IVD and PMS degeneration using animal models. For example, Maas et al. (2018) found a significant reduction in multifidus muscle weight by postoperative day 7 in the IVD degeneration group compared to the control (p < 0.05) group, while no significant IVD degeneration was detected in the multifidus excision group. The authors suggest that the time course and self-recovery rate of rat IVD might account for varying observations, thereby hypothesizing a causal relationship between IVD degeneration onset and PSM degeneration induction. Nevertheless, additional experiments are necessary to confirm this relationship (25). Furthermore, PSM denervation, which can occur asymptomatically, may be morphologically susceptible to neural stretching after disc height loss, leading to denervation and subsequent PSM degeneration. This neuro-mechanical basis for the decline in muscle quality and the progression of IVD degeneration highlights the interconnected nature of these degenerative processes.
This study presents a systematic review of existing experimental studies on animal models of IVD degeneration, specifically examining the structural changes in the multifidus after IVD degeneration development. We critically assessed various factors, including the selection of model animals, modeling methods, and evaluation criteria for multifidus structural changes. The objective of this study was to propose enhanced methodologies for developing IVD degeneration models and evaluating standards for multifidus degeneration in future research. This review aims to explore the causal link between IVD and PSM degeneration, clarify the pathophysiological mechanisms of LBP, and potentially identify novel clinical approaches for effective LBP management.
4.1 Species selection for animal modelsThe selection of appropriate animal models is pivotal for effective IVD degeneration research. Commonly, rats, mice, guinea pigs, hamsters, rabbits, dogs, cattle, sheep, goats, domestic pigs, chickens, horses, camels, kangaroos, and primates, such as baboons and macaques are exploited to develop the disease model (18, 35, 36). However, the majority of these models are quadrupeds, and their habitual postures and locomotive behaviors, influenced by gravity, significantly differ from those of humans. Even bipeds, such as primates and kangaroos, exhibit variations in posture and movement from humans; for example, kangaroos leverage their tails for spinal support, potentially mitigating IVD and PSM degeneration. Therefore, these animal models cannot fully replicate the natural degenerative processes observed in human IVD degeneration pathology.
In 1929, Colton et al. recognized the potential of bipedal models and developed a method to induce bipedalism in rats by forelimb amputation (37). Since then, this approach has gained traction, with numerous researchers refining the model to significantly enhance IVD degeneration outcomes (38–40). For instance, Liang et al. established a similar model using brachial plexus root avulsion (41, 42), while Ao et al. induced a bipedal posture in mice by leveraging their aversion to water, placing them in containers with a water depth of 5mm (43). While, Cassidy et al. opted for a bipedal rat model with ligation and excision of upper limbs above the humerus, and coupled with housing in specially designed cages that required standing for access to elevated food and water sources (22). By six weeks of age, these rats were capable of walking entirely upright and spent considerable time each day in this posture, thus closely mimicking the natural progression of IVD degeneration observed in humans.
4.2 Modeling methodsVarious methods have been developed by several research groups to model IVD degeneration animals beyond the bipedal rats, as described previously. These include the needle puncture method to injure the IVD; the blade injury model using surgical blades to disrupt the IVD structure; and the spinal instability model, which involves separating the posterior muscle complex, excising spinous processes, and severing ligaments. Other techniques include the tail curling/ring model, inducing force imbalance in IVD; the axial compression model, applying pressure under compressed and angled conditions; and the vibration model, subjecting animals to continuous vibrational forces. Furthermore, the injection of specific chemicals can also induce IVD degeneration and a combined application of aforementioned methods can also be exploited to establish an effective IVD degeneration model in rodents. Genetic modifications, such as in SPARC-null mice, SM/J mice, and LG/J mice, can disrupt IVD metabolism and induce loss of structural integrity, closely simulating natural degeneration processes in humans. Besides, the aging model of IVD degeneration focuses on the age-related structural and pathological changes in hamsters (18, 35, 36, 44–58).
This study aimed to underscore the importance of structural changes in the multifidus muscle in animal models of IVD degeneration. Of note, it is critical to minimize any impact on the multifidus muscle during the model construction. Consequently, the posterior approach is inappropriate as it inevitably damages the PSM, at least to some extent. On the other hand, the method analyzed in this study involved the slow insertion of needles through the rat's back into the L4/5 and L5/6 IVD segments. For the sham group, needles were inserted to pierce only the PSM without penetrating the IVD structure, thereby isolating the effect of PSM puncture itself (23). This technique simulates common clinical manifestations of human posterior lateral IVD lesions. Nonetheless, in most cases, artificial disturbances in PSM could be a major confounding factor leading to PSM degeneration secondary to the IVD degeneration.
Although the bipedal rat model closely resembles the natural degenerative processes of human IVD degeneration, however, is limited to its widespread application due to ethical concerns, modeling challenges, and prolonged observation periods. Recently, genetically modified and aging models have become the most effective disease animal models with spontaneous IVD degeneration without requiring any external physical or chemical interventions (28). However, the multifactorial nature of IVD degeneration pathology and the non-specific triggering of unknown pathophysiological mechanisms are the major bottlenecks in the widespread application of gene knockout IVD degeneration models (44). In contrast, anterior approach needle puncture and blade injury methods are globally recognized for IVD degeneration modeling due to their straightforward techniques, significant IVD degeneration post-modeling, and minimal interference with PMS damage.
4.3 Vertebral level selectionWhen selecting the segmental level of IVD for model construction, it is important to consider the physio-anatomical structure of the modeling animal due to significant interspecies variations. In humans, degeneration of lumbar IVD predominantly occurs at the L4-L5 and L5-S1 levels, where 90% of disc herniations manifest, largely because of the sacro-lumbar intermediate position. Unlike lumbar vertebrae, sacral vertebrae in adults typically fuse into a single sacrum, lacking physiological movement and buffering capabilities. Therefore, subjecting the L4-L5 and L5-S1 IVDs to increased mechanical pressures and motion ranges, particularly during flexion and extension, can promote the IVD degeneration onset (59–62). Thus, it is advisable to select the two most distal segments of the lumbar spine to model IVD degeneration in animals. Experimental studies cited in this article, informed by relevant zoological literature, note that rodents usually possess 6 lumbar vertebrae, whereas rabbits have 7, and sheep and domestic pigs 6–7 (63–71). In all the nine studies reviewed, segments near the distal lumbar spine, especially L4 and L5, were consistently selected.
4.4 Assessment systemsThe severity of both LBP and IVD degeneration is closely correlated with the quality of the PSM (72). Consequently, establishing an effective evaluation system for PSM degeneration is crucial for numerous animal models of IVD degeneration to accurately assess the model's effectiveness. The PSM, comprising critical muscle groups surrounding the spine, including the multifidus, psoas, and erector spinae, plays a vital role in maintaining spinal stability and supporting physiological movement. A decline in PSM function can disrupt biomechanical balance and structural stability of the spine, leading to uneven stress on the IVD and accelerating its degenerative processes (73–76) PSM degeneration primarily manifests as reduced muscle mass and CSA, increased FI and stiffness, decreased muscle fiber diameter, changes in muscle fiber type compositions, and alterations in various inflammatory cytokines and gene expression levels. Patients with PSM degeneration exhibit decreased muscle strength, endurance, and plasticity (77–81). Among the nine studies analyzed, five studies evaluated the multifidus muscle from a macroscopic perspective. Overall, the study results support our initial hypothesis that at specific time points, IVD degeneration animals would exhibit significant levels of atrophy of the multifidus muscle, with marked reductions in mass and CSA, compared to sham animals. MRI and IHC revealed significant enlargement of multifidus muscle gaps and increased intramuscular lipid droplets in these animals. Furthermore, mechanical passive dynamic testing showed a significant increase (107%) in the stiffness of the multifidus in damaged IVD segments and their adjacent segments, compared to individual fibers (34% increase compared to control) (23, 25–27, 30). However, contrary to the expected hypothesis, Hodges et al. could not detect any significant atrophy of the multifidus at three and six months post-operative injury to the left IVD of Merino sheep via a retroperitoneal approach. The authors suggest that the influence of pro-inflammatory cytokines might prevent muscle atrophy during the transition from the subacute (3 months) to early chronic stages (6 months) of IVD injury (27). Some studies indicate that FI is more significantly associated with high-intensity pain, functional impairments, and abnormalities in spinal structure than muscle CSA, thus potentially serving as an effective indicator for evaluating muscle degeneration (12, 13, 82–84).
At the microscopic level, muscle quality assessment predominantly focuses on the CSA of muscle fibers and their type of distribution. Skeletal muscle fibers are categorized into two major subtypes: type I (slow-twitch) fibers, which primarily utilize aerobic metabolism for energy production, and exhibit higher endurance levels appropriate for prolonged physical activities such as posture maintenance; and type II (fast-twitch) fibers rely on anaerobic metabolism for rapid energy generation and are essential for activities that require short bursts of power like jumping or sprinting (85–87). In bipedal upright species such as humans and primates, lumbar muscles, bearing significant weight, predominantly consist of type I fibers. In contrast, quadrupeds like rodents, dogs, sheep, and horses mainly possess type II fibers (88–92). Research shows that the proportion of type I fibers in human multifidus muscles ranges from 54% to 63% (24, 80, 93), whereas in sheep, it is only 16% to 28% (24, 27, 29), and in rodents, it drops to 5% to 15% (28, 94). Experiments by Cassidy et al. on bipedal upright rats demonstrated a significant increase in type I fibers in their multifidus muscles, while muscle biopsies of human LBP patients indicate a lower proportion of type I fibers and thus poorer fatigue resistance, negatively correlating with the duration of pain (28, 95, 96). Recent research has expanded to include gene expressions of cytokines such as TNF-α and IL-6 to explore the specific pathophysiological mechanisms of LBP and the potential links between IVD and multifidus degeneration (23, 24, 27, 97, 98). Moreover, several studies incorporate behavioral assessments, including gait analysis, von Frey pain tests, hot plate tests, radiant heat tests, acetone tests, spontaneous pain tests, grip tests, and tail suspension tests, to comprehensively evaluate pain symptoms and muscle dysfunction in animal models (23, 99–104).
In summary, we propose the inclusion of several criteria in future evaluations of PSM degeneration: Firstly, radiologically, the assessment of CSA and FI are essential parameters. Secondly, the transition of muscle fiber types and their proportionate composition should be evaluated using immunohistochemical staining. Additionally, a behavioral assessment of muscle degeneration is warranted, encompassing strength, coordination, and motor function, as measured by the Basso-Beattie-Bresnahan Locomotor Rating Scale, grip strength test, hot plate test, and tail suspension test, to fully understand the impact on animal behavior. Finally, post-mortem, changes in inflammatory cytokines and gene expression levels, including TNF-α, IL-6, IL-1β, miRNA, and TGF-β, should be examined to assess muscle degeneration. We posit that these multidimensional indicators can form a scientifically robust evaluation system, offering a reference and theoretical foundation for research into IVD and PSM degeneration models.
5 ConclusionThis systematic review offers a detailed analysis of structural changes in the multifidus muscle across various animal models of IVD degeneration. Further, this study outlines the criteria for the selection of model animals, methods of modeling, and evaluation battery, providing essential insights into the advancement of IVD degeneration model development and assessment methods for multifidus muscle degeneration. Despite the limited number of studies and the inherent heterogeneity, that prevented a quantitative meta-analysis, this review addresses current research limitations and outlines future research directions. Notably, a significant gap remains in understanding the biomechanical properties and pathophysiological mechanisms of multifidus muscle degeneration. Future research should concentrate on these areas to enhance our understanding of the potential interactions between IVD degeneration and multifidus muscle dysfunction, clarifying the pathophysiological mechanisms behind LBP, and fully elucidating the pathological processes of spinal degenerative diseases. Such efforts will underpin the development of novel therapeutic strategies.
Data availability statementThe original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author contributionsYW: Conceptualization, Data curation, Methodology, Writing – original draft, Writing – review & editing. XHZ: Conceptualization, Data curation, Methodology, Writing – original draft, Writing – review & editing. XYZ: Project administration, Writing – review & editing. YY: Methodology, Writing – review & editing. WZ: Methodology, Writing – review & editing. SL: Supervision, Writing – review & editing. ZL: Supervision, Writing – review & editing. LZ: Supervision, Writing – review & editing. KW: Funding acquisition, Supervision, Visualization, Writing – review & editing. HW: Funding acquisition, Supervision, Visualization, Writing – review & editing.
FundingThe author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the National High Level Hospital Clinical Research Funding (2022-PUMCH-D-004). This research was funded by the Beijing Natural Science Foundation-Changping Innovation Joint Fund (L234059).
Conflict of interestThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's noteAll claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary materialThe Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsurg.2024.1482821/full#supplementary-material
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