- Research article
- Open access
- Published:
A new and spontaneous animal model for ankylosing spondylitis is found in cynomolgus monkeys
Arthritis Research & Therapy volume 24, Article number: 1 (2022)
Abstract
Background
Ankylosing spondylitis is a progressive, disabling joint disease that affects millions worldwide. Given its unclear etiology, studies of ankylosing spondylitis relied heavily on drug-induced or transgenic rodent models which retain only partial clinical features. There is obviously a lack of a useful disease model to conduct comprehensive mechanistic studies.
Methods
We followed a group of cynomolgus monkeys having joint lesions reported of spinal stiffness for 2 years by conducting hematological testing, radiographic examination, family aggregation analysis, pathological analysis, and genetic testing.
Results
The results confirmed that these diseased animals suffered from spontaneous ankylosing spondylitis with clinical features recapitulating human ankylosing spondylitis disease progression, manifested by pathological changes and biochemical indicators similar to that of ankylosing spondylitis patients.
Conclusion
The study offers a promising non-human primate model for spontaneous ankylosing spondylitis which may serve as an excellent substitute for its pre-clinical research.
Background
Ankylosing spondylitis (AS) is a progressively disabling disease that affects both axial and peripheral joints. Clinically, a patient with AS would be described as suffering an inflammatory pain in the spine surmounting to immobility. AS targets young males aged from 15 to 30 years old than that of female individuals, with an odds ratio of roughly 2:1, while it appears rare in those aging more than 40 [1]. The incidence rate of AS in the Chinese population is about 0.24% [2]. Nonetheless, after years of active clinical research, there are few pathological descriptions [3] which largely inform associated genetic and environmental risks [4,5,6]. The missing etiology of AS accounted for the bottleneck of drug development.
In clinical settings, diagnosis and staging of AS relied on limited longitudinal imaging analysis (MRI and X-ray) with inadequate sensitivity. Collecting relevant biopsy samples from spinal lesions was again incomplete as limited by the sample size of matching axial anatomical locations indicative of bone erosion and syndesmophyte [7,8,9]. There is also a limited representation of AS in advanced disease stages already undergone osteoproliferative transitions. It is therefore necessary to look for experimentally feasible alternative subjects which spontaneously develop clinical features resembling that of AS patients as a model for research.
Yet, it remains difficult to benchmark and produce disease animal models with high similarity to clinical AS patients without knowing the etiology. Lab rodents including HLA-B27 humanized transgenic mouse model [10], ERAP1-deficient mouse model [11], or inflammation-inducing mouse models [12] only recapitulated the genetic susceptibility aspect of AS partially while often borne with inconsistent pathology.
Significant efforts in screening more than 20,000 cynomolgus monkeys within the Guangdong Province for spinal deformity and immobility between the ages of 4 and 12 years old allowed pilot X-ray examination in these monkeys bearing features resembling AS patients. A subsequent 2-year follow-up spinal and hematological examination in these monkeys included imaging (X-ray, MRI, and CT), family recurrence analysis, genetic testing, and pathological analysis with strikingly consistent pathological changes as in AS patients. Our report suggests cynomolgus monkeys with spinal deformity as an excellent surrogate primate model of spontaneous AS.
Methods
Animals
All animals for the initial screen are adopted from Guangdong Chunsheng Biotechnology Development Co., Ltd., license number: SCXK (Guangdong) 2014-0027. The animals were housed under room temperature between 24 and 30°C with a relative humidity fluctuating around 60%, operating under at 12h/12h normal light/dark cycle illumination.
A universal goniometer was used to evaluate the curvature of spine and the range of motion (ROM) of both knee joint and hip joint for the screen under standard procedures described in details elsewhere [13].
X-ray examination and CT scan
We performed X-ray examination on monkeys with mobility problems aged 4–12 years using HF400VA X-ray system (Mikasa, Japan) every 6 months within 2 years. The radiographic score were evaluated by two independent trained readers by the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) [14]. A 0.5-mm-thick of CT section images was obtained by an Aquilion 64 scanner (Toshiba, Japan) with tube current and potential set at 250 mA and 135 kV, respectively.
Hematological examination and cytokine detection
Blood samples prepared along clinical assessment were kept frozen at −80°C until hematological examination were performed by the biochemical analyzer (HITACHI, 3100, Japan). Tumor necrosis factor α (TNF-α), vascular endothelial growth factor (VEGF), C-reactive protein (CRP), an anti-cyclic peptide containing citrulline antibody (anti-CCP antibody), anti-Streptolysin O (ASO), Procalcitonin (PCT), and rheumatoid factors ( IgG-RF & IgM-RF) levels were measured with monkey-specific ELISA kits, respectively ( Supplementary Table 1).
Paraffin section and staining
The lumbar vertebra and caudal were decalcified with EDTA, followed by dehydration and paraffin embedding. Sections were stained with Mayer’s hematoxylin and eosin (H&E) or 0.1% safranin-O/0.05% fast green (Sigma-Aldrich).
SNP genotyping
Genomic DNA was extracted from the peripheral blood with Whole Blood Genomic DNA Extraction Kit (Takara) before genotyping of SNPs determined by the SNaPshot Assay (Shanghai General BioTech Co., Ltd.) with primer pairs shown in Supplementary Table 2. The SNPshot sequencing relied on monkey-specific but not degenerate primer pair spanning the homologous site with OR predicted to be relevant to AS adapted from the reference genome in NCBI annotate 101 for the species. As for the WGS sequencing, raw reads were first trimmed by Cutadapt (v3.4). Then, the adapter-trimmed reads were aligned to Burrows–Wheeler aligner (v0.7.17). PCR duplicates were removed using Picard MarkDuplicates. Variants calling were performed by GATK (v 4.2.1) germline short variant discovery pipeline and following the GATK best practices. The pipeline utilizes HaplotypeCaller and filtered by GATK CNNScoreVariants and FilterVariantTrances. Variants are further filtered with “AC=2” for homozygous alternate alleles and “AC=1” for heterozygous alternate alleles. Mutational variants were functionally annotated using SnpSift (v.4.3.1).
Statistics
All values are presented as mean ± SD analyzed with SPSS (Version 20.0) for Windows. The normality of distributions was tested using the Kolmogorov-Smirnov test. Comparisons of normally distributed study parameters are performed using one-way ANOVA. P values < 0.05 were considered statistically significant.
Results
Physical examination
The cynomolgus monkeys with joint abnormalities have symptoms either as a hunchback, muscle atrophy, lameness, tail stiffness, restricted spinal activity, or spinal rigidity. Both the spine and peripheral joints of these monkeys were swollen and highly immobile (Fig. 1A). Most of them have enlarged, stiff knees with limited mobility and stretch together with stiff tail and bamboo-like exterior.
Aside from postures and movements, we also measured joint mobility. The curvatures of the spine of diseased monkeys are significantly greater than normal (Fig. 1B). While the curvatures of bilateral knee joints were significantly reduced with increased stretch, that in the right hip joint was significantly increased. Finally, the bilateral hip extensions were also significantly reduced but none were found in the bilateral elbow joints (Supplementary Table 3 and 4).
Incidence and family aggregation
Through daily monitoring and cross-checking by the farm veterinarian, about 200 animals with mobility problems were identified out of the whole farm comprised of 20,000 monkeys in total. The refined identification allowed 57 cynomolgus monkeys to be diagnosed with AS, and the incidence rate was about 0.275% similar to the likelihood as in humans. The age and gender distribution of these AS cynomolgus monkeys were correspondingly tabulated (Fig. 1C). With that, we further checked animal archives for husbandry information just so to confirm diseased animals were close relatives (Fig. 1D). It was found that 5 AS cynomolgus monkeys (5/57, 8.77%) had family aggregation distributed in 2 separated bloodlines.
X-ray examination and CT scan
X-ray examination showed that 57 cynomolgus monkeys had variant joint abnormalities in the central joint, tail joint, and limb joints (Table 1). Radiographic results reveal erosive changes at the corners of the vertebral bodies quite early with the outgrowth of syndesmophytes at later stages. When these syndesmophytes fuse with adjacent vertebral bodies, the apparent single bone piece is aptly described as bamboo spine (Fig. 2A). CT scan had indicated a general rough surface for sacroiliac joints fused in some severe cases (Fig. 2B). Similar lesions can also be found for the knee joints, wrist joints, and at the vertebral of the tails (Fig. 2C).
The radiographic progressing in AS cynomolgus monkeys
To characterize the disease progression in AS monkeys, we performed X-ray examinations of disease animals once every 6 months within 2 years. At the time of the first X-ray examination, the animals were within the age of 4–8 years. We found a progressive disease consistent with AS patients, firstly bone loss followed by bone spurs bridging vertebrae (Fig. 3A). The X-ray time series aided in calculating the required time for AS monkeys to shift from bone erosion to spur formation (Fig. 3B–D).
Cytokines of inflammation
To further distinguish AS from other similar diseases, we checked the expression of serum cytokines in diseased animals (Fig. 4A). When compared to normal monkeys, AS monkeys showed a significant increase in ESR and CRP levels, which represents two important indicators of inflammatory activity. However, there was no significant change in IgM-RF, anti-CCP antibody, PCT, and ASO levels. The serum cytokines examination revealed that IL-17, VEGF, and TNF-α levels were significantly elevated in AS monkeys when compared to normal monkeys (Fig. 4B), while IL-1β, IL-2, IL-8, IL-6, IL-10, IL-12, and IFN-ɣ levels did not deviate significantly (data not shown here). Importantly, IL-17 [15, 16], VEGF [17, 18], and TNF-α [19] elevation are deemed characteristic features of AS clinical patients. The above results suggest that the diseased animals demonstrated similar characteristics as in the AS patients in clinical settings.
Hematological examination
Hematological examination showed that PLT increased significantly, while HGB and MCHC decreased in AS monkeys when compared to control as an indication of mild anemia (Fig. 5). WBC increased significantly suggested these AS monkeys suffer from inflammatory responses. Subsequent cytology analysis revealed that neither leukocytes, eosinophils, basophils, nor monocytes were significantly expanded in population, but lymphocytes were indeed decreased while neutrophils were increased significantly in the AS group contributing to the higher WBC count. Serum biochemical indicators including ALP, GLOB, and TP increased significantly in AS likely out of nutritional malabsorption and inflammation, while serum ALB, Ca, and P decreased significantly indicative of bone metabolic changes.
Pathological changes of the lumbar vertebrae in AS animals
In AS cynomolgus lumbar vertebral sections, we observed cartilage destruction, chondroid metaplasia, bony spur formation, synovial hyperplasia, intra-articular fibrous strands, and vascular proliferation just as that observed in clinical samples. This is in stark contrast to healthy monkeys where intervertebral annulus fibrosus were arranged neatly while chondrocytes were arranged in longitudinal rows within the cartilage plate connecting the subchondral bone. The intervertebral disc space of the AS cynomolgus vertebral body gradually became narrower as the disease progressed until the final disappearance when the cartilage is fused.
In the early stage, thickening of the anterior ligament and synovial hyperplasia could be observed, with inflammatory cell infiltration and obvious fibrous tissue hyperplasia (Fig. 6A). More importantly, there were a large amount of small blood vessels and osteoclasts in these fibrous tissues (Fig. 6Ab and Ac). Bony nodules could be observed in the deep zone of the cartilage plate near the subchondral plate (Fig. 6A).
The spur formation area was frequently situated around the anterior vertebral ligament during the syndesmophyte formation stage, where they extended from the vertebral body edge of the upper and lower sides of the disc, surrounding the proliferating fibrous tissue. Inside the spur formation area, heterotopic ossification and chondroid metaplastic foci could be found (Fig. 6Aa). Cells inside the chondroid metaplastic foci, also known as calcified fibrocartilage, were not densely packed while also rarely arranged in columns or hypertrophy unlike that in normal cartilage plates. Finally, both the original and the ectopic cartilaginous tissues were replaced by bone at the cartilage fusion stage. Here, the original cartilages were fused, and chondral fusion was the predominant mode of ankyloses (Fig. 6A).
Through H&E staining, we found a significant thickening of the anterior ligaments in the AS animals joint (Fig. 6Bb and Bc), and large numbers of the small blood vessels in the bone marrow and fibrous tissue of the ligament (Fig. 6Be and Bh). More importantly, there is a large amount of inflammatory cell infiltration in the articular capsule, indicating that enthesitis is a major feature of AS (Fig. 6Bg).
Identification of disease-relevant genetic traits
The MHC genotype is a key determinant for medical research involving immune and inflammatory responses while HLA-B27 encodes a typical human MHC Class B allele pronounced as the major AS-susceptibility gene. Notably, several top hits for the non-coding SNP database had also spanned around the human MHC-B locus. As such, we focused on this highly complex locus for its likely strong association with AS phenotype also in cynomolgus.
Interestingly, we understand that macaques evolved without any copy of Mhc-C but Mhc-A and Mhc-B genes normally exist more than one copy per haplotype, while their functional redundancy prevented us from making a judgment in naming only alleles from the Mafa-B cluster as likely candidates for HLA-B27-like allele. As a precaution, we sought to identify sequences with high homology with HLA-B reference loci at the genomic level which returned Mafa-A alleles with a predicted higher sequence proximity to HLA-B than Mafa-B alleles (Fig. 7, Table 2). Next, we performed BlastP comparison for all available Mafa-A & Mafa-B IPD-MHC allele database with the commonest AS MHC allele HLA-B2705 which revealed Mafa-A1*027:02, Mafa-A1*007:04, and Mafa-A2*05:48 alleles as top-hits (Table 3).
In fact, all these functional annotated HLA-B27 homologs do not lie in the Mhc-B region but that is acceptable as expected, for it was already foreseen in its close relative Rhesus macaque (Macaca mulatta) where the peptide-binding specificity of alleles regardless of belonging to the A or B gene cluster, i.e., Mamu-A2*01:02, Mamu-B*010:01, and Mamu-B*003:01 were those stipulated as top-hits functional analog among all MHC alleles to the HLA-B27 supertype family [20].
In order to look for other relevant disease predictor locus for the group of AS monkeys, we performed genetic analysis for the 20 AS-related SNPs that have been reported in the literature [21,22,23], with a focus on particularly those reported to correlate to the HLA-B27 pathogenic pathway. In fact, the reference gene sequences in both human and cynomolgus monkeys retained the same nucleotide usage in 10 such SNP loci (rs30187, rs11209026, rs1004819, rs11465804, rs10889677, rs1495965, rs6556416, rs2297909, rs11249215, rs11616188); therefore, the discovery of any SNP change may indicate a high possibility of inheriting AS-relevant traits.
Unfortunately, paternal parenthood in these promiscuous cynomolgus monkeys was proven difficult and therefore a trio analysis to study the haplotype of MHC locus was virtually impossible. Relentlessly, we managed to follow through and produce whole-genome sequencing in a pair of healthy mother and disease son. With that, we checked carefully in all 10 disease-relevant SNP loci, including two homolog SNP with the highest OR for AS, rs4349859 and rs13202464, respectively, lying in close proximity to non-coding sequences around the Mhc-B region. As expected, neither the mum nor the son had inherited these SNPs (Supplementary Table 5).
To confirm that these non-coding SNPs were indeed not present to modulate the disease severity in all our AS monkeys, we cross-checked rs4349859 (corresponding loci: Macaca_fascicularis_5.0:4:139402704) by SNP shot sequencing and that returned no corresponding SNP change in any of the disease animal nor in the healthy control. This further confirms that the disease-relevant MHC Class I allele do not fall within the proximity of Mhc-B locus unlike the human paralog. In parallel, SNP shot sequencing on another non-synonymous coding SNPs (corresponding loci: Macaca_fascicularis_5.0: chr6:95192910 and chr1:1600952276) in the genome of 55 monkeys (AS=34, control=21) was also performed and indeed none of such disease-prone SNPs existed in their genome.
With that in mind, we further perform in silico read mapping for the highly polymorphic MHC locus. Given the complexity for sequence alignment in the polymorphic region dubbed with unidentified introns with no reference genomic scaffold available for this species, we turned to conduct multiple alignments to known MHC Class I cDNA sequence instead. All MHC region mappable reads from the two individual WGS library construct from the healthy mother and her diseased son DNA respectively where stringency for read mapping was set to a high threshold to require exact sequence identity.
When aligned to our derived functional homolog sequences, we determined a roughly similar allele coverage for Mafa-A1*027 and Mafa-A2*007 in both the mother and her son, which suggested that these HLA alleles unlikely played a crucial role in the development of the disease. Nonetheless, the allele coverage scores in Mafa-A2*05 for the son were found to be approximately double that as in his biological mother, which strongly suggested that he manifested a diploid inheritance of Mafa-A2*05 as an HLA-B27 paralog from both parents. Furthermore, extended primer PCR had confirmed a higher copy number for this Mhc-A allele from DNA extracted from this mother-child pair, but not for the other two Mhc alleles or housekeeping gene loci.
Finally, we believe that recessive inherited patterns for protein-coding genes, especially those relevant to the innate immune response pathway may give rise to higher susceptibility to AS or other autoimmune diseases. Therefore, we also screened for missense recessive genetic traits that might turn out as useful predictors to the manifestation of the disease in macaques. In line with this endeavor, we performed filtering of minor allele SNPs with the following criteria: (1) missense coding mutations to that of the reference genome, where (2) the mother would maintain heterozygosity in the locus, and (3) the son shall inherit both recessive copies. A total of 38 such SNPs were found where only 15 amongst them are annotated genes.
A total of 13 known genes matching the above criteria were surveyed in 5 AS monkeys together with 5 control monkeys (Table 4). We found that within these sampled monkeys, most of them demonstrate either predominant nucleotide usage in DIEXF & ARSA (C only); CFB (T only), or random segregated nucleotide usage in SLC26A1 & ZBTB42 (C/G); SCGB3A1 & GNA15 (G/A); LILRB4 (T/A) at the missense loci; therefore, there is no enrichment for a particular SNP in these genes regardless of the disease phenotype.
However, in most sampled AS animals (4/5), the substitution of G in the VIPR2 gene shall produce arginine residues instead when the predominant genotype of homozygous T shall encode serine residues in non-disease controls at the same locus. Likewise, we observed a tendency for the presence of A (2/5) in place of G which was the predominant SNP for control animals at the locus in ZNF433. In this locus, the presence of A rendered replacement of arginine to serine residues.
Discussion
Epidemiological studies have found that the incidence of AS patients in China is about 0.2–0.54% [2]. Although the incidence rates are not fully consistent across countries, they are mainly between 0.3 and 0.5% [1]. Among the 20,000 cynomolgus monkey populations in the farm, 57 were diagnosed as suffering from AS; the spontaneous incidence rate of AS in monkeys was in line with that of clinical cases at about 0.28%. In addition, the conversion relationship between human and monkey age (1-year-old cynomolgus monkey is about 4 years old in human beings) provided a rough estimate for the onset age of AS animals also similar to human epidemiology, running along their families. However, our statistical analysis failed to re-establish the gender disparity in these monkeys, but this could be a biased statistic with a preference for female housing on the farm since male animals were frequently sold off. Therefore, we believe the current odds ratio overestimated the incidence in the female with confounding bias in terms of gender susceptibility.
Radiographic examination forms the basis for the clinical diagnosis of AS. Sacroiliitic joint lesion is a hallmark of AS, especially prominent in earlier disease stages, followed by multiple manifestations such as the spinal and peripheral joint lesions [1]. The lesions of the vertebral body are the most distinctive, with overt pathological changes consisting of bone erosion and syndesmophyte formation. CT scan showed that the sacroiliitic joint surface of the AS cynomolgus monkey had a rough joint surface, narrow joint space that diminished in the final stage. X-ray examination demonstrated bone erosion manifests as a square vertebra where the corner would erode, followed by syndesmophyte growth with adjacent vertebral bodies fusing together resulting in the typical “Bamboo-like” spine. The above process was found to match perfectly to clinical features as in AS patients along our 2-year follow-up in these diseased monkeys.
After multiple X-ray examinations over the 2 years, we found that the majority of bone deterioration occurred within the first half-year where the vertebral joints underwent transformation, starting from bone erosion to syndesmophyte formation at an accelerated pace when compared to humans. Nonetheless, the change from initial syndesmophyte formation to the final bamboo-like change requires a relatively longer time. The gradual deterioration at a shorter window when compared to humans is conducive to better evaluation for drug efficacy and pharmacology.
Clinically, it still lacks a gold standard for the diagnosis of AS. It is indeed difficult to distinguish AS from other similar diseases like rheumatoid arthritis (RA) only by radiographic examination during early stages [6, 24]. With a wider scope of research on AS in recent years, specific detection markers were identified for AS, including CRP [25], RF [26], IL-17 [15, 16], TNF-α [19], etc. A combined X-ray imaging and marker changes of CRP, RF, IL-17, and TNF-α detection provide a better comprehensive diagnostic account for diseased animals, where we confirm the existence of a spontaneous AS cynomolgus monkey model.
The hematological examination is usually not regarded as a key indicator of clinical diagnosis of AS mainly due to non-specific hematological changes related to systemic inflammation. However, these remain consistent features reflective of conditions in AS patients [25, 27,28,29]. In addition, the percentage of lymphocytes decreased significantly, and the percentage of neutrophils increased significantly also consistent as in AS patients [25], where neutrophils were defined to play a part in AS pathogenesis. Finally, the serum levels of TNF-α, IL-6, IL-4, and VEGF in AS cynomolgus monkeys are elevated, which are similarly consistent as in clinical research [17, 18]. Correspondingly, the significant drop in serum calcium and phosphorus levels might indicate the involvement of these minerals in the calcification of the ligaments at the lesions.
Based on the radiographic examination, we further analyzed pathological changes in AS cynomolgus monkeys. Heterotopic ossification of the intervertebral disc cartilage was found in anatomical specimens with no obvious abnormalities in the radiographic examination, indicating that the pathological examination revealed in vivo subtle lesions earlier but accurately. Several features, including synovitis, cartilage ossification, bone formation, and chondroid metaplasia, as well as cartilage destruction, are commonly found in the joints of AS patients [7]. In early lesions, synovial thickening, inflammatory cell infiltration, fibrous tissue hyperplasia, vascular proliferation, and cartilage destruction were found in the anterior ligament of the animal vertebral body. In the late stage, the vertebral body was more common in the formation of spurs, and the chondroid metaplasia foci were visible in the spur area. There was no obvious inflammatory cell infiltration, while the site was laden with active osteoblasts and osteoclasts. These observations have completely reproduced the pathological changes as observed in clinical AS patient specimens [8, 30] and have further reinstated the diagnosis of spontaneous AS in these animals.
More importantly, we gathered new evidence in establishing controversial issues raised in prior animal research through careful observation of the whole vertebral body section in these monkeys. The issue is about the presence of vascularized fibrous tissue in the diseased joint, an outgrowth also known as the granulation tissue, with an uncertain origin [7]. They are suggested to originate from the synovium or bone marrow, however lack of clear evidence to support such a claim.
After analyzing the human biopsy specimen, Bleid concluded that the fibrous tissue was from the bone marrow; firstly eroding the subchondral plate and then into the cartilage surface [8]. We argue against this prior finding but suggest that these fibrous structures appear more frequently between the synovial membrane and the disc annulus fibrosus, particularly at the edges where there are aggregated osteoclasts in the fibrous tissue as considered necessary for degradation of the cartilage matrix. Summing up, it is more likely that these vascularized fibrous tissues are more likely to be derived from the synovium.
In fact, we report the first observation of this phenomena since it had neither been encountered in mice with progressive ankylosis [31], in HLA–B27 transgenic rats with experimental inflammatory disease [32, 33], in HLA–B27 transgenic mice [10], nor in animals with murine ankylosing enthesopathy [34]. Intriguingly, it was even confirmed that no lesions of the spine were even present in the latter two models.
The earliest definition of AS as a hereditary disease was mainly due to the higher recurrence risk of AS than general non-hereditary disease, with a 63% recurrence risk in monozygotic twins [35] and a 8.2% recurrence risk in first-degree relatives [36]. Through genome-wide association studies, more and more genetic loci have been found to be associated with AS [2, 37, 38]. More than 100 genetic loci have been associated with AS, but they only summarized up to 30% of AS heritability [5]. Among those genes, HLA-B27, ERAP1, and IL-23R received much attention, accounting for the population-attributable risks at approximately 90%, 26%, and 1%, respectively [24, 28]. Interestingly, how these genotypes shall affect the pathogenesis of AS remains unknown.
A specialized genomic region in the short arm of human chromosome 6 encoded the polymorphic cell-membrane-bound glycoprotein MHC classizcal class I and class II molecules known as human leukocyte antigen (HLA) locus. The major function of this locus is to regulate immune response by the presentation of processed foreign peptides to circulating T lymphocytes. The polymorphism at the MHC region was accounted for the donor/recipient incompatibility in organ transplant rejection.
Despite their frequent use as a model in clinical research, a genetic study in cynomolgus is very limited especially in highly polymorphic regions such as the MHC locus. To complicate the matter, the whole macaque genus devised MHC polymorphism involving duplication of gene clusters with functional redundancy, unlike humans with functional exclusiveness in single HLA loci for each class. These disadvantages had limited clinical studies in all macaque models associated with graft-versus-host disease, infectious diseases as well as autoimmune-related diseases including AS, not to mention genotype-phenotype correlations and establishment of causal relationships. Nonetheless, macaques remained a good model to study human autoimmune diseases when they frequently demonstrated significant cross-reactivity of antibodies raised against human antigens.
HLA-B27 was singled out as an AS-susceptibility MHC allele for nearly half a decade. Interactors along the innate immunity signaling pathway ERAP1 and IL23R were also named as important contributors to AS-associated joint inflammation. Indeed, the IL-23/Th17 pathway influences the expression levels of genes involved in the differentiation of Th17/Th1 cells while the abnormal function of ERAP1 affected peptide processing which led to peptide–MHC-I complex misfolding. However, there is no well-defined B27 homolog in the Macaca genus, nor the characterization of its downstream pathway.
As confirmed from our healthy mother—diseased son WGS analysis backed by SNP shot sequencing in a wide screen, there were no minor alleles detected in SNP genotyping of these non-synonymous nor the HLA-B associated non-coding loci in AS or control animals. Likely, the Mafa-B regions do not directly contribute to the disease phenotypes within this group of AS monkeys.
With that, we would like to define our Mafa homolog of HLA-B27. When different macaque species were first compared, it was revealed more than 100 alleles with perfect match in MHC-B locus, which presumed that MHC-B polymorphism existed before the speciation of the macaques. Nonetheless, Mamu-A and Mafa-A sequences were found to be interspersed along the phylogenetic tree, while the vast majority of the alleles are unique in their species [39]. Furthermore, Mamu-B genes were already reported to demonstrate a closer relationship with HLA-C than with HLA-B. Therefore, the locus distribution of MHC I molecules does not always conform to sequence consistency and functionality along primate evolution.
In fact, based on the peptide-binding specificity of Mamu-A2*01, Mamu-A2*05, Mamu-B0*03 Mamu-B0*08, and Mamu-B0*10 were all reported to be analogous to those alleles found in the HLA-B27 supertype family [20, 40]. This seemingly also indicates Mhc-A & Mhc-B may also include alleles homologous to the AS susceptibility locus. To facilitate the hunt in disease-associated MHC allele, we had performed read mapping of WGS reads back to a genome sequence repository of Mafa MHC cDNA and revealed significant mapping to Mhc-A genes, particularly rendered exact matches in Mafa-A1*027:02, Mafa-A1*007:04, and Mafa-A2*05:48, which appeared as top hits when conducting protein blast compared to HLA-B2705. The doubled coverage in diseased son compared to its healthy mother strengthened our beliefs in the usage of this HLA allele in place of HLA-B27 in Cynomolgus.
Finally, homozygous recessive inheritance of missense coding genes may undermine the onset of AS in the population as a whole. After screening the SNP genotypes in healthy and AS monkeys in gender-mixed groups of 5, it was revealed that most healthy macaques carried a homozygous T in the VIPR2 gene where the disease ones carried predominantly homozygous G instead. In fact, it was previously revealed in mice encoding a genetic deletion of this gene shall exacerbate the autoimmune disease EAE by increased production of proinflammatory cytokines such as TNF-α, IL-6, and IL-17 in the CNS and lymph nodes [41]. Moreover, the presence of A instead of the predominant G at our surveillance site also led to a missense mutation in replacing arginine (positively-charged) with serine (neutral) residues. Given that zinc finger proteins such as ZNF433 we report here are transcription factors, any changes in total charge may affect factor binding to negatively charged DNA. This gene had also been implicated as a disease-susceptible locus in multiple sclerosis, which is also an IL-23/Th17-related autoimmune disorder [42, 43].
Conclusions
In summary, there is a lack of relevant research models to deepen our understanding of the etiology of AS. Indeed, the heavy reliance on individual genetic factors or inflammatory effects only severely hampered AS research till now. Furthermore, the scarcity of sample collection and frequent ethical concerns further hindered a probable comprehensive study to be performed in real AS patients. Our current study evaluated AS cynomolgus monkeys from multiple aspects such as epidemiology, hematology, radiographic imaging, pathology, and genetic linkage analysis, all demonstrating strikingly similar features to that in clinical AS patients. We therefore advocate our spontaneous disease Cynomolgus monkey as an excellent surrogate model to pave groundbreaking discovery of AS etiology and drug efficacy.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- ALB:
-
Albumin
- ALP:
-
Alkaline phosphatase
- ANOVA:
-
Analysis of variance
- Anti-CCP antibody:
-
Anti-cyclic peptide containing citrulline antibody
- AS:
-
Ankylosing spondylitis
- ASO:
-
Anti-Streptolysin O
- BM:
-
Bone marrow
- Ca:
-
Calcium
- CRP:
-
C-reactive protein
- CT:
-
Computed tomography
- ESR:
-
Erythrocyte sedimentation rate
- FC:
-
Fibrocartilage
- GLOB:
-
Globulin
- HB:
-
Heterotopic bone
- GT:
-
Granulation tissue
- H&E:
-
Haematoxylin and eosin
- HGB:
-
Hemoglobin
- IgM-RF:
-
Immunoglobulin M-rheumatoid factor
- IL:
-
Interleukin
- LYMPH:
-
Lymphocyte
- MCHC:
-
Mean corpuscular hemoglobin concentration
- mSASSS:
-
Modified Stoke Ankylosing Spondylitis Spinal Score
- MRI:
-
Magnetic resonance imaging
- NEUT:
-
Neutrophils
- PCT:
-
Procalcitonin
- PLT:
-
Blood platelet
- RA:
-
Rheumatoid arthritis
- ROM:
-
Range of motion
- SD:
-
Standard deviation
- SNP:
-
Single-nucleotide polymorphism
- TNF-α:
-
Tumor necrosis factor α
- TP:
-
Total protein
- VEGF:
-
Vascular endothelial growth factor
- WBC:
-
White blood cell
References
Braun J, Sieper J. Ankylosing spondylitis. Lancet. 2007;369(9570):1379–90.
Lu X, Wang L, Chen S, He L, Yang X, Shi Y, et al. Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease. Nat Genet. 2012;44(8):890–4.
Ramiro S, van Tubergen A, van der Heijde D, Stolwijk C, Bookelman G, Dougados M, et al. Brief report: erosions and sclerosis on radiographs precede the subsequent development of syndesmophytes at the same site: a twelve-year prospective followup of patients with ankylosing spondylitis. Arthritis Rheum. 2014;66(10):2773–9.
Tam LS, Gu J, Yu D. Pathogenesis of ankylosing spondylitis. Nat Rev Rheumatol. 2010;6(7):399–405.
Ranganathan V, Gracey E, Brown MA, Inman RD, Haroon N. Pathogenesis of ankylosing spondylitis - recent advances and future directions. Nat Rev Rheumatol. 2017;13(6):359–67.
Watad A, Bridgewood C, Russell T, Marzo-Ortega H, Cuthbert R, McGonagle D. The early phases of ankylosing spondylitis: emerging insights from clinical and basic science. Front Immunol. 2018;9:2668.
Francois RJ, Gardner DL, Degrave EJ, Bywaters EG. Histopathologic evidence that sacroiliitis in ankylosing spondylitis is not merely enthesitis. Arthritis Rheum. 2000;43(9):2011–24.
Bleil J, Maier R, Hempfing A, Schlichting U, Appel H, Sieper J, et al. Histomorphologic and histomorphometric characteristics of zygapophyseal joint remodeling in ankylosing spondylitis. Arthritis Rheum. 2014;66(7):1745–54.
Benjamin M, Toumi H, Suzuki D, Hayashi K, McGonagle D. Evidence for a distinctive pattern of bone formation in enthesophytes. Ann Rheum Dis. 2009;68(6):1003–10.
Khare SD, Luthra HS, David CS. Spontaneous inflammatory arthritis in HLA-B27 transgenic mice lacking beta 2-microglobulin: a model of human spondyloarthropathies. J Exp Med. 1995;182(4):1153–8.
Pepelyayeva Y, Rastall DPW, Aldhamen YA, O'Connell P, Raehtz S, Alyaqoub FS, et al. ERAP1 deficient mice have reduced type 1 regulatory T cells and develop skeletal and intestinal features of Ankylosing Spondylitis. Sci Rep. 2018;8(1):12464.
Bardos T, Szabo Z, Czipri M, Vermes C, Tunyogi-Csapo M, Urban RM, et al. A longitudinal study on an autoimmune murine model of ankylosing spondylitis. Ann Rheum Dis. 2005;64(7):981–7.
Norkin C, White D. Measurement of joint motion: a guide to goniometry. 4th ed. Philadelphia: F A Davis Company; 2009. p. 241–62.
Creemers MC, Franssen MJ, van't Hof MA, Gribnau FW, van de Putte LB, van Riel PL. Assessment of outcome in ankylosing spondylitis: an extended radiographic scoring system. Ann Rheum Dis. 2005;64(1):127–9.
Zambrano-Zaragoza JF, Agraz-Cibrian JM, Gonzalez-Reyes C, Duran-Avelar Mde J, Vibanco-Perez N. Ankylosing spondylitis: from cells to genes. Int J Inflamm. 2013;2013:501653.
Taams LS, Steel KJA, Srenathan U, Burns LA, Kirkham BW. IL-17 in the immunopathogenesis of spondyloarthritis. Nat Rev Rheumatol. 2018;14(8):453–66.
Poddubnyy D, Conrad K, Haibel H, Syrbe U, Appel H, Braun J, et al. Elevated serum level of the vascular endothelial growth factor predicts radiographic spinal progression in patients with axial spondyloarthritis. Ann Rheum Dis. 2014;73(12):2137–43.
Zhang Y, Hu X, Zhang C, Zhou Y, Chu TW. Suppression subtractive hybridization reveals differentially expressed genes in supraspinous ligaments of patients with ankylosing spondylitis. Mol Med Rep. 2015;11(6):4482–8.
Gratacos J, Collado A, Filella X, Sanmarti R, Canete J, Llena J, et al. Serum cytokines (IL-6, TNF-alpha, IL-1 beta and IFN-gamma) in ankylosing spondylitis: a close correlation between serum IL-6 and disease activity and severity. Br J Rheumatol. 1994;33(10):927–31.
Mothe BR, Southwood S, Sidney J, English AM, Wriston A, Hoof I, et al. Peptide-binding motifs associated with MHC molecules common in Chinese rhesus macaques are analogous to those of human HLA supertypes and include HLA-B27-like alleles. Immunogenetics. 2013;65(5):371–86.
Evans DM, Spencer CC, Pointon JJ, Su Z, Harvey D, Kochan G, et al. Interaction between ERAP1 and HLA-B27 in ankylosing spondylitis implicates peptide handling in the mechanism for HLA-B27 in disease susceptibility. Nat Genet. 2011;43(8):761–7.
Lin Z, Bei JX, Shen M, Li Q, Liao Z, Zhang Y, et al. A genome-wide association study in Han Chinese identifies new susceptibility loci for ankylosing spondylitis. Nat Genet. 2011;44(1):73–7.
Burton PR, Clayton DG, Cardon LR, Craddock N, Deloukas P, Duncanson A, et al. Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants. Nat Genet. 2007;39(11):1329–37.
Tobon GJ, Youinou P, Saraux A. The environment, geo-epidemiology, and autoimmune disease: rheumatoid arthritis. Autoimmun Rev. 2010;9(5):A288–92.
Bozan N, Alpayci M, Aslan M, Cankaya H, Kiroglu AF, Turan M, et al. Mean platelet volume, red cell distribution width, platelet-to-lymphocyte and neutrophil-to-lymphocyte ratios in patients with ankylosing spondylitis and their relationships with high-frequency hearing thresholds. Eur Arch Otorhinolaryngol. 2016;273(11):3663–72.
Cowling P, Ebringer R, Ebringer A. Association of inflammation with raised serum IgA in ankylosing spondylitis. Ann Rheum Dis. 1980;39(6):545–9.
Kendall MJ, Lawrence DS, Shuttleworth GR, Whitfield AG. Haematology and biochemistry of ankylosing spondylitis. Br Med J. 1973;2(5860):235–7.
Lin F, Wang X, Liang Y, Liu D, Zhang Y, Zhong R, et al. Red blood cell distribution width in rheumatoid arthritis, ankylosing spondylitis and osteoarthritis: true inflammatory index or effect of anemia? Ann Clin Lab Sci. 2018;48(3):301–7.
Hart FD, Maclagan NF. Ankylosing spondylitis a review of 184 cases. Ann Rheum Dis. 1955;14(1):77.
Bleil J, Sieper J, Maier R, Schlichting U, Hempfing A, Syrbe U, et al. Cartilage in facet joints of patients with ankylosing spondylitis (AS) shows signs of cartilage degeneration rather than chondrocyte hypertrophy: implications for joint remodeling in AS. Arthritis Res Ther. 2015;17(1):170.
Mahowald ML, Krug H, Halverson P. Progressive ankylosis (ank/ank) in mice: an animal model of spondyloarthropathy. II. Light and electron microscopic findings. J Rheumatol. 1989;16(1):60–6.
Hammer RE, Maika SD, Richardson JA, Tang JP, Taurog JD. Spontaneous inflammatory disease in transgenic rats expressing HLA-B27 and human beta 2m: an animal model of HLA-B27-associated human disorders. Cell. 1990;63(5):1099–112.
Rysnik O, McHugh K, van Duivenvoorde L, van Tok M, Guggino G, Taurog J, et al. Non-conventional forms of HLA-B27 are expressed in spondyloarthritis joints and gut tissue. J Autoimmun. 2016;70:12–21.
Eulderink F, Ivanyi P, Weinreich S. Histopathology of murine ankylosing enthesopathy. Pathol Res Pract. 1998;194(11):797–803.
Brown MA, Kennedy LG, MacGregor AJ, Darke C, Duncan E, Shatford JL, et al. Susceptibility to ankylosing spondylitis in twins: the role of genes, HLA, and the environment. Arthritis Rheum. 1997;40(10):1823–8.
Brown MA, Laval SH, Brophy S, Calin A. Recurrence risk modelling of the genetic susceptibility to ankylosing spondylitis. Ann Rheum Dis. 2000;59(11):883–6.
Cortes A, Hadler J, Pointon JP, Robinson PC, Karaderi T, Leo P, et al. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat Genet. 2013;45(7):730–8.
Reveille JD, Sims AM, Danoy P, Evans DM, Leo P, Pointon JJ, et al. Genome-wide association study of ankylosing spondylitis identifies non-MHC susceptibility loci. Nat Genet. 2010;42(2):123–7.
Otting N, de Vos-Rouweler AJ, Heijmans CM, de Groot NG, Doxiadis GG, Bontrop RE. MHC class I A region diversity and polymorphism in macaque species. Immunogenetics. 2007;59(5):367–75.
de Groot NG, Heijmans CMC, de Ru AH, Janssen GMC, Drijfhout JW, Otting N, et al. A specialist macaque MHC class I molecule with HLA-B*27-like peptide-binding characteristics. J Immunol. 2017;199(10):3679–90.
Tan YV, Abad C, Wang Y, Lopez R, Waschek J. VPAC2 (vasoactive intestinal peptide receptor type 2) receptor deficient mice develop exacerbated experimental autoimmune encephalomyelitis with increased Th1/Th17 and reduced Th2/Treg responses. Brain Behav Immun. 2015;44:167–75.
Nischwitz S, Cepok S, Kroner A, Wolf C, Knop M, Muller-Sarnowski F, et al. Evidence for VAV2 and ZNF433 as susceptibility genes for multiple sclerosis. J Neuroimmunol. 2010;227(1-2):162–6.
Huber AK, Wang L, Han P, Zhang X, Ekholm S, Srinivasan A, et al. Dysregulation of the IL-23/IL-17 axis and myeloid factors in secondary progressive MS. Neurology. 2014;83(17):1500–7.
Acknowledgements
Thanks to Dr. Wende Xiao and Dr. Lei Cai for their professional suggestions.
Funding
This study was supported by the National Natural Science Foundation of China (81941010) and Science and Technology Planning Project of Guangdong Province (2017A070701003, 2017B020231001, and 2019A030317009).
Author information
Authors and Affiliations
Contributions
HHJ, LL, and XLL performed the experiments and analyzed the data. YZC, CMC, and HYS prepared the manuscript. GH, JC, QNL, and MLC designed and supervised the experiments. YFL, KKM, RH, ZTW, and SHF critically revised the manuscript. The authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
All animal experiments passed the review of the Institutional Animal Care and Use Committee of Guangdong Laboratory Animals Monitoring Institute (No. IACUC 2019068).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Additional file 1: Supplementary Table 1.
Information for ELISA kit.
Additional file 2: Supplementary Table 2.
Sequences of primers used in SNP genotyping.
Additional file 3: Supplementary Table 3.
Curvatures of joints (mean±sd).
Additional file 4: Supplementary Table 4.
Stretches of joints (mean±sd).
Additional file 5: Supplementary Table 5.
Consistency between Homo sapiens and Macaca fascicularis for SNPs within previously confirmed risk loci.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Jia, H., Chen, M., Cai, Y. et al. A new and spontaneous animal model for ankylosing spondylitis is found in cynomolgus monkeys. Arthritis Res Ther 24, 1 (2022). https://doi.org/10.1186/s13075-021-02679-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s13075-021-02679-5