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The Journal of Immunology, 2000, 164: 1564-1568.
Copyright © 2000 by The American Association of Immunologists

Evidence for Common Autoimmune Disease Genes Controlling Onset, Severity, and Chronicity Based on Experimental Models for Multiple Sclerosis and Rheumatoid Arthritis1

Kristin Bergsteinsdottir2,*, Hai-Tao Yang2,{dagger}, Ulf Pettersson{dagger} and Rikard Holmdahl3,*

* Section for Medical Inflammation Research, Lund University, Lund, Sweden; and {dagger} Department of Genetics and Pathology, Unit of Medical Genetics, Biomedical Center, Uppsala University, Uppsala, Sweden


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The pathogenicity of multiple sclerosis is still poorly understood, but identification of susceptibility genes using the animal model experimental allergic encephalomyelitis (EAE) could provide leads. Certain genes may be shared between different autoimmune diseases, and identification of such genes is of obvious importance. To locate gene regions involved in the control of EAE and to compare the findings with the susceptibility loci recently identified in a model for rheumatoid arthritis (pristane-induced arthritis), we made crosses between the encephalomyelitis- and arthritis-susceptible rat strain DA and the resistant E3 strain. Genetic analysis of animals produced in a F2 intercross identified 11 loci associated with specific EAE-associated traits. Interestingly, five of these loci were situated at the same position as major loci controlling pristane-induced arthritis and showed similarities in inheritance pattern and subphenotype associations. Our results show that different phases of EAE are controlled by different sets of genes and that common genes are likely to be involved in different autoimmune diseases.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Multiple sclerosis (MS)4 is still a disease without effective treatment and with a largely unknown pathogenesis. After an initial phase of very variable manifestations of disturbances of central nervous functions, including paresthesias, diplopia, limb paralysis, or in-coordination, the disease often develops into a chronic progressive or a chronic relapsing disease course leading to severe permanent symptoms such as blindness and paraplegia. MS is relatively common and widespread (prevalence ~0.1%) with a significant genetic contribution as shown by both monozygotic twin studies and analysis of adopted children (1). Importantly, different ethnic groups tend to differ with regard to clinical manifestations and prevalence of MS (2, 3). Unfortunately, it has been difficult to identify significant and reproducible loci associated with MS (4, 5, 6, 7), possibly due to the pronounced genetic heterogeneity, the many phenotypic subforms of the disease, and the difficulties in controlling environmental factors.

The use of animal models in which the genes can be segregated in a controlled way and in which environmental factors can be at least partially controlled offer a solution to some of these problems. Identification of genes controlling disease in such models should greatly facilitate the elucidation of critical pathways leading to disease. Immunization of animals with spinal cord tissue or myelin proteins often leads to encephalomyelitis; a model called experimental allergic encephalomyelitis (EAE). EAE was in fact first described in humans after inoculation of rabbit spinal cord homogenate (8), and subsequently EAE in several species including mice and rats have been established as models for MS (9, 10). Typically a severe ascending paralysis develops, often leading to death or recovery. A few variants of the model exhibit a chronic relapsing pattern more similar to MS. Some of the more chronic variants such as the chronic relapsing diseases in B10.RIII and the SJL mice have been subjected to genetic analysis (11, 12, 13, 14, 15). Interestingly, some of the identified disease-associated loci, like Eae1 (MHC) and Eae2 on mouse chromosome 15, appear to play a role also in MS (16). In the mouse, several loci that are associated with other autoimmune diseases such as arthritis and diabetes (17, 18) or virus-induced encephalomyelitis (19) have been identified. However, the induction of disease in mice requires a complex induction protocol because both mycobacteria cell walls in the inoculum and pretreatment with pertussis toxin are needed. In contrast, in the rat a relapsing disease is induced by one injection of rat spinal chord homogenate in mineral oil (20). The susceptible DA rats develop paralysis with two to three relapses, whereas other strains, such as E3, are resistant (21). Relapsing EAE has previously been analyzed using inbred, MHC congenic, and recombinant inbred strains derived from DA and E3 rats (21). It was found that susceptibility to relapsing EAE is under a strong influence not only by the MHC class II region but also by genes outside MHC. Crosses between DA and E3 rats have also been used to identify specific gene regions associated with different phases of chronic arthritis (22). This opens the possibility to study the association between different gene regions and specific disease subphenotypes of EAE and to compare these findings with the findings made in a model for rheumatoid arthritis.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Animals

Rat breeding nuclei of the different strains (DA, E3) were originally generously provided by Professor Hans Hedrich (Zentralinstitut fur Versuchstierzucht, Hannover, Germany). The rats were kept in animal facilities in a pathogen-free and climate-controlled environment with 12-h light/dark cycles, housed in polystyrene cages containing wood shavings, and fed standard rodent chow and water ad libitum. The rats were 8–9 wk old when the experiment started. During the experiments, two to three rats were housed in each cage.

Induction and evaluation of EAE

Spinal cord homogenate was prepared from DA rats as described (1) and kept at -70°C. Rats were immunized s.c. in the base of the tail with 200 µl of an inoculum containing 100 µl IFA (Difco, Detroit, MI), 100 µl saline, and 10 mg spinal cord homogenate. All rats were weighed and examined daily for signs of EAE according to a nine point scale: 0, normal; 1, tail weakness; 2, tail paralysis; 3, tail paralysis and mild waddle; 4, tail paralysis and severe waddle; 5, tail paralysis and paralysis of one limb; 6, tail paralysis and paralysis of a pair of limbs; 7, tetraparesis; 8, premorbid or deceased (21). A second immunization was conducted between days 72 and 76 on selected rats that included 51 rats with the highest clinical score and 51 rats with no signs of EAE. The other rats were sacrificed on day 40. Blood was obtained by cutting the tip of the tail. The rats were bled before the first and the second immunization, on day 40, and at sacrifice.

EAE phenotypes

The following phenotypes were determined: 1) onset of disease: first day a clinical score of 1 or higher was obtained, only diseased rats included; 2) severity: clinical score (scores 1–8) of each rat at the indicated day after immunization; 3) acute disease: rats with monophasic disease; 4) relapsing disease: rats with more then one relapse of clinical disease (a relapse was counted when the rats had an increase in clinical score of 1 or more for at least 3 days); 5) duration of disease: the number of days the rats had clinical scores 2–8; and 6) body weight: change in body weight from day 7 to 40.

Genotyping

Rat microsatellite markers were purchased (Research Genetics, Huntsville, AL). Tips of the tail were used for preparation of genomic DNA according a standard protocol (23). PCR was performed in 10-µl reaction volumes containing forward and reverse primer (0.5 µM each), dNTP (200 µM), MgCl2 (1.5 mM), Tris-HCl (20 mM, pH 8.3), Taq polymerase (0.5 U), and 20 ng genomic DNA. The forward primer was phosphorylated with 0.4 µCi [{gamma}-32P]ATP (3000 Ci/mmol; DuPont/NEN, Boston, MA). Amplification conditions were as follows: 94°C for 3 min, followed by 25 cycles of 94°C for 15 s, 55°C for 1 min, 72°C for 90 s, and a final extension at 72°C for 7 min. The PCR was performed in a thermal cycler (MJR-225; MJ Research; Watertown, MA). The PCR products were size-fractionated on 6% (AT Biochem, Malvern, PA) polyacrylamide gels in 1x TBE. Gels were exposed on autoradiographic film (Kodak XAR film, Rochester, NY or Amersham Hyperfilm MP, Arlington Heights, IL) at -70°C for 12–48 h. All markers were scored at least four times. All markers with a high logarithm of odd’s ratio (LOD) error in the haplotype analysis were rescored and retyped if necessary.

Statistical and linkage analysis

Comparison between groups of parental strains were performed with Fischer exact test (incidence) or with the nonparametric Mann-Whitney U test (onset day, scores). Comparison between intercross F2 female and male rats was performed with {chi}2 test (incidence). All the statistical analyses were done using Statistica (Statsoft; Tulson, OK) or Statview (Abacus; Berkeley, CA) software packages. Linkage analysis was performed with the Mapmaker computer package (24, 25) as described (15). An improved linkage map based on several crosses involving DA and E3 was used and can be found at http://net.inflam.lu.se/. Linkage was tested using all the phenotypes described above. Due to this multiple testing, the threshold level for significance should be higher than the formal level of 3.3 in a constrained mode of inheritance (25). The decision on designating the found linkages as Eae loci has been made on the basis not only of the LOD value but also on correspondence with earlier published data on congenic strains (21) and on findings in the pristane-induced arthritis (PIA) model in the same rat cross (22).


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
To map genes involved in the control of EAE, we made F1 and F2 crosses between the E3 and the DA strains. The disease is highly penetrable in DA rats, whereas only 25% of the F1 rats developed disease that could be either acute or relapsing. This indicates a complex genetic control involving both recessive and dominant genes (Table IGo). Of the F2 rats, 25% developed a widely variable disease course, ranging from acute EAE with one relapse followed by recovery to a more severe form of the disease with several relapses (Table IGo and Fig. 1Go). The affected rats suffered weight loss that was more pronounced in the rats with the relapsing form of EAE. Females were more prone to develop a relapsing disease (Table IGo).


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Table I. EAE susceptibility in parental, F1, and F2 animals

 


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FIGURE 1. Examples of acute (top panel) and relapsing (bottom panel) disease courses and changes in body weight in selected F2 rats.

 
An initial genome scan was performed using 92 F2 rats, including 46 rats with the most severe form of the disease and 46 rats without signs of EAE. These rats were genotyped with 181 informative microsatellite markers, which covered 95% of the genome at a maximum 20-cM intermarker distance. The remaining (E3 x DA)F2 rats were analyzed with those markers that showed suggestive linkage (LOD score >2.0). To identify loci controlling distinct features of the disease, we studied several subphenotypes: 1) the day of disease onset; 2) the maximal clinical severity; 3) the change in body weight from day 7 to 40; 4) acute EAE; 5) the duration of clinical signs (number of days during which the clinical score was between 2 and 8); and 6) the number of relapses.

Eleven gene regions associated with specific disease-connected traits (Table IIGo and Fig. 2Go) were identified, and, interestingly, several of those loci coincide with loci previously identified in PIA using identical rat strains.


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Table II. Chromosome regions showing evidence of linkage to EAE-associated traits

 


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FIGURE 2. LOD likelihood plots for chromosomes with identified loci. The traits given the highest LOD scores are shown. The horizontal scale represents recombinational distances between the used markers as indicated. Confidence intervals are indicated by horizontal bars at LOD levels 2.8 (light grey) and 3.9 (dark grey). The confidence intervals for both EAE loci and the corresponding PIA loci (based on a previous publiction (22 ) or in the case of Piax on chromosome 1 and Pia1 on chromosome 20 on a (DA x E3)F2 gene segregation experiment with the PIA model not yet published (N. Nordquist et al., manuscript in preparation).

 
The onset of disease was associated with suggestive loci on chromosome 4 and 5. Interestingly, the locus on chromosome 4 is situated at the same position as the Pia2 locus, which also controls disease onset. As is the case in the arthritis model using an identical cross (22), both onset loci contain susceptibility alleles inherited from E3: the chromosome 5 locus is inherited in a recessive and the chromosome 4 in a dominant mode.

The disease severity was most strongly associated with a locus on chromosome 12 (Eae5), which contains a DA susceptibility allele of major importance not only for severity but also for the relapsing form of EAE. This locus was also identified as the major locus in PIA, controlling arthritis severity (Pia4). Other loci influencing disease severity in males were found on chromosome 1 (Eae6 and Eae7) and 20 (Eae1). Eae7 was most strongly associated with change in body weight, and Eae6 with body weight change and duration of the disease. Decrease in body weight is known to be closely correlated with clinical symptoms. A suggestive PIA locus corresponding to Eae6 was associated with arthritis severity and joint erosions (our unpublished observations). The locus on chromosome 20 (Eae1) includes the MHC region. The DA allele is associated with greater severity and incidence with a dominant inheritance pattern. An association with products of the MHC locus, in particular MHC class II, is well known in the EAE model (10) and is the only linkage observed at a significant level in most genetic studies of MS. The influence of MHC is complex and several genes other than the class II could be of importance including class I, complement factors, and TNF.

A locus on chromosome 19 (Eae8) was found to contain an allele inherited in a DA recessive mode. It controls the acute form of EAE without affecting onset or severity. This locus is most likely specific for EAE because no linkage was observed in the PIA model.

Several loci showed a suggestive association with relapses or disease duration in addition to the earlier described Eae5, Eae6, and Eae7 loci. Two loci were associated with chronicity but not with disease onset or severity, Eae9 on chromosome 6 and Eae10 on chromosome 14. Interestingly, one of these loci (Eae10) was also associated with chronic arthritis (Pia6) without affecting disease onset or severity, and, in addition, the phenotype showed a DA recessive inheritance pattern in both EAE and PIA.

Two suggestive loci on chromosome 18 showed a weak linkage to the duration of the disease. One of these is located close to the myelin basic protein gene and segregated as an E3-derived dominant allele. This is of particular interest because it has been proposed that there is linkage between the myelin basic protein gene and MS in humans (26, 27).


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Taken together, our results suggest that the majority of the identified loci controlling various subtraits of relapsing EAE in the E3 x DA cross also are of importance for the development of arthritis (PIA). The fact that chromosomal regions that contain susceptibility genes coincide does not prove that identical genes are involved in the two diseases. The identified chromosomal regions are undoubtedly wide and contain many genes. However, there are several observations that support our hypothesis. First, the markers that gave the maximum LOD scores were identical or very closely located in the two cases. Second, the disease-promoting alleles were in all cases derived from the same rat strain in both disease models. Last, but most important, it is shown that many of the identified susceptibility loci had similar inheritance patterns and subphenotype associations in the two models. The latter observation strengthen the observation that different phases of the disease are controlled by distinct sets of genes and in particular that such subtraits could be identically controlled in two different inflammatory diseases such as arthritis and encephalomyelitis. However, a comparison of some of the PIA and the EAE loci did show differences in the effects of gender. Thus, the Pia2 was found in only females whereas the corresponding Eae11 was found in all animals. The Pia6 was found in all animals whereas the corresponding Eae10 was found in only females. These difference could possibly be dependent on different sex influences on the two diseases, which may modulate the phenotypic expression associated with the identified loci. For example, females are more prone to develop relapsing EAE than males, whereas in PIA the sex effect is mainly affecting day of onset and incidence. Furthermore, preliminary evidence suggest that the Y chromosome influences the disease in opposite ways in the two diseases (our unpublished observations).

Undoubtedly, the PIA and EAE are differently induced and have different pathogenesis, but they also share certain phenomena such as a tissue-specific destruction and a relapsing pattern of disease development. In both diseases, regardless whether it starts early or late, or whether it is mild or severe, a relapsing pattern of disease may evolve that in part might be controlled by the same genes. Further subphenotyping of the disease and correlation with loci that are shared or are distinguished, will shed more light on the critical pathogenic events. This would suggest that similar pathogenic mechanisms are responsible for several subtraits of rheumatoid arthritis and MS.

In contrast, we would also expect involvement of a large number of different genetic settings for a single subtrait. Earlier reported genome scans using another rat strain combination (DA x BN), and with different induction protocols that tend to give more acute disease, identified three loci (on chromosomes 4, 9, and 10) associated with maximal disease severity that were not found in the presently analyzed strain combination (28, 29). Interestingly, however, in the latter study a suggestive linkage for disease severity was observed on chromosome 12, corresponding to the presently identified Eae5 locus, and on chromosome 4, corresponding to the severity-associated Eae3 locus in the mouse. In addition, the Eae5 locus on chromosome 12 corresponds closely to a major locus recently shown to control a model for uveitis, experimental allergic uveitis, using another set or rat strains (30). However, it is more likely that analyses of crosses with different parental strains will reveal various sets of genes controlling EAE, i.e., we expect a similar degree of genetic heterogeneity that is observed in the control of MS in humans. Thus, it is noteworthy that some, but not all, loci identified in mouse EAE or suggested to provide susceptibility to MS in humans show colocalization with the presently identified loci (4, 5, 6, 11, 12, 13, 14, 15, 16, 26).


    Acknowledgments
 
We thank H. Darban and L. Elfineh for expertise and assistance in genotyping, N. Nordqvist for help with the rat linkage map, L. Lindström and Y. Brring for taking care of the animals, and Johan Jirholt and Thomas Blom for helpful discussions.


    Footnotes
 
1 This work was supported by grants from the Beijer Foundation, Anna Greta Crafoord Research Foundation, Kock and Österlund Research Foundations, the Swedish Medical Research Council, and European Union Supported projects ERBBIO4-CT96-056 and BMH4-CT97-2522. Back

2 K.B. and H.-T.Y. contributed equally to this paper. Back

3 Address correspondence and reprints request to Dr. Rikard Holmdahl, Section for Medical Inflammation Research, Lund University, Sàlvegatan 19, S-22362 Lund, Sweden. E-mail address: Back

4 Abbreviations used in this paper: MS, multiple sclerosis; EAE, experimental autoimmune encephalomyelitis; PIA, pristane-induced arthritis; LOD, logarithm of odd’s ratio. Back

Received for publication August 13, 1999. Accepted for publication November 10, 1999.


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