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The Journal of Immunology, 1999, 163: 5133-5144.
Copyright © 1999 by The American Association of Immunologists

B Cell Repertoire Diversity and Clonal Expansion in Multiple Sclerosis Brain Lesions1

Sergio E. Baranzini*, Matthew C. Jeong*, Catalin Butunoi{dagger}, Ronald S. Murray{dagger}, Claude C. A. Bernard* and Jorge R. Oksenberg2,*

* Department of Neurology, University of California, San Francisco, CA 94143; and {dagger} Rocky Mountain Multiple Sclerosis Center, Englewood, CO 80110


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Multiple sclerosis (MS) lesions in the CNS are characterized by disseminated demyelination with perivascular infiltrates of macrophages, T cells, and B cells. To investigate the origin and characteristics of the B cell population found in MS plaque tissue, we performed molecular studies in 10 MS patients and 4 non-MS control samples. Ig transcripts from the perivascular infiltrated brain lesions were analyzed by complementary-determining region 3 spectratyping to ascertain the B cell heavy chain gene rearrangement repertoire expressed in MS brains. Significant rearrangement diversity and deviation from the normal Ig heavy (H) chain repertoire was observed. The cloning and sequencing of RT-PCR products from families VH1 and VH4 showed a correlation with the profiles obtained by spectratyping. Generally, restricted spectratyping patterns concurred with repetition of in-frame complementary-determining region 3 identical sequences. The analysis of heavy chain variable (VH), diversity (D), and joining (JH) gene segments revealed the increased usage of VH1–69, VH4–34, and VH4–39. Similarly, gene segments from families D2, D3, and JH4 were over-represented. The presence of restricted patterns of rearranged Ig mRNA within the plaque lesion suggests that Ab production in the demyelinating plaque is a local phenomenon and supports the idea that in MS an Ag-driven immune response might be responsible for demyelination.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Multiple sclerosis (MS)3 is a complex inflammatory disease of the CNS characterized by a primary demyelination that occurs in genetically susceptible individuals after exposure to an as yet undefined causal agent. The pathological hallmark of MS is the plaque, a well-demarcated gray or pink white matter lesion characterized histologically by inflammation, demyelination, and gliosis. A significant perivascular and parenchymal infiltration by mononuclear cells, particularly macrophages and T cells, is typical of the acute MS lesion. Although fewer in number, B cells are also present in the inflammatory response (1). B cells have been found in cerebrospinal fluid (CSF) of MS patients (2), and oligoclonal bands are consistently identified after electrophoresis of CSF Igs (3, 4), suggesting that intrathecal Ab production takes place after clonal expansion in most patients. Whether clonal expansion correlates with particular Ag specificities remains unclear, but anti-myelin responses have been identified in the CNS by a number of investigators (5, 6, 7, 8). Ab-secreting B cells can contribute to the overall extent of tissue injury (8, 9, 10, 11), and in the particular case of memory B cells, they participate in Ag presentation and T cell activation (12, 13). It has been shown that little or no demyelination occurs when experimental autoimmune encephalitis is induced in Lewis rats by injection of purified myelin basic protein (MBP) or by the passive transfer of MBP-reactive T lymphocytes (14). This suggests that a synergistic T cell and Ab response is required to produce demyelination. The mechanisms by which autoantibodies participate in myelin destruction in MS patients are not fully defined, but may involve opsonization-mediated phagocytosis, complement fixation (15), as well as activation of a Ca2+-dependant protease acting on MBP (5, 16, 17).

Abs produced by naive B cells are known to integrate the circulating pool of Igs and to act as membrane receptors during Ag recognition (18, 19). The way B cells generate the extraordinary large diversity in the Ab they produce was elegantly brought to light some years ago and involves the usage of a few hundred germline segments to potentially produce billions of different proteins (20, 21). Allelic polymorphism, somatic mutation, imprecise joining, nonencoded nucleotide addition, and exonuclease activity also add to Ab diversity. Upon antigenic stimulation, relevant B cell clones are positively selected and undergo gene hypermutation to produce Abs that best fit the Ag in a process called affinity maturation (22).

The complementary-determining region 3 (CDR3) in both heavy and light chains is the most polymorphic fragment of an Ab structure, and it is the region that most closely interacts with the Ag. Conserved amino acids at the VDJ junction are indicative of Ag specificity among a population of receptors. Thus, analysis of the CDR3 from the B cells found at the site of MS brain lesions would provide important insights into the question of how Abs participate in the formation of demyelinating plaques. CDR3 size spectratyping, originally used for the study of TCR transcripts (23), is a straightforward, PCR-based approach to evaluate CDR3 diversity. In this report B cell spectratyping was used to examine the rearranged IgG heavy chain transcripts repertoire of Ab-producing cells in demyelinating plaques of 10 MS patients. Extensive analysis of the brain IgGVH repertoire was performed, and profiles from patients and controls were compared. Two IgVH families, VH1 and VH4, were cloned and sequenced for the detailed analysis of the VDJ junctions. Our results show a significant perturbation of the B cell repertoire in most individuals. The finding of identical or nearly identical CDR3 sequences corroborates the clonality initially observed by spectratyping and suggests a significant role for clonally expanded B lymphocytes in MS.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Samples and histochemistry

Postmortem brain specimens were obtained from both MS patients and non-MS controls. Frozen sections from 10 individuals with clinical history of MS and from four non-MS controls were divided in two for both molecular and immunohistochemical analyses. MS samples represent different stages of plaque activity. Control samples included four non-MS brain specimens as well as sequential PBL from three healthy individuals. Each brain sample was analyzed with luxol fast blue (LFB) counterstained with Harris hematoxylin for myelin integrity, trichrome (Tri) for astrocytes, and oil red O counterstained with hematoxylin for neutral lipids and EBM 11 for macrophages. These techniques allow for grading MS plaques according to Tourtellotte’s classification (24).

Oligonucleotide primers design

The design of Ig heavy chain VH1 to VH6 family-specific oligonucleotide primers was based on sequence alignments of the germline genes taken from the VBASE directory of human Ig genes (I. M. Tomlinson, S. C. Williams, O. Ignatovich, S. J. Corbett, and G. Winter, Medical Research Council Centre for Protein Engineering, Cambridge, U.K.; this information is also available on the internet: http://www.mrc-cpe.cam.ac.uk/imt-doc/). Alignments were performed using the MegAlign program of the LASERGENE package (DNAstar, Madison, WI). Due to their size, family VH1 and VH3 required two and five different sense primers, respectively. The number of degenerate nucleotides was maintained to a minimum to assure specificity. The sequences of primers used in this study are as follows: VH1a, 5'-AGCACAGCCTACATGGAGCTGAGC-3'; VH1b, 5'-AGCACAGCCTACATGGAGCTGAGG-3'; VH2, 5'-STCACCATCWCCAARGACA-3'; VH3a, 3'-CTGTATCTGCAAATGAACAGCCTG-3'; VH3b, 5'-CTGCAAATGAACAGTCTGARARCCG-3'; VH3c, 5'-CTGTATCTGCAAATGAACAG-3'; VH3d, 5'-CCAGAGACAATTCCARGAACA-3'; VH3e, 5'-CAAATGAACAGYCTGAGAG-3'; VH4, 5'-CTCCCTGAAGCTGAGCTCTGTG-3'; VH5. 5'-CTACCTGCAGTGGAGCAGCCTG-3'; and VH6, 5'-CCAAGAACCAGTTCTCCCTGC-3'. The antisense primer was the same for all amplifications and was homologous to the 5' end of the constant {gamma} gene (C 5'-GGCCAGGGGGAAGACCG-3').

B cell spectratyping

Total RNA was isolated from 100–200 mg of frozen brain tissue homogenized with the Trizol reagent (Life Technologies, Bethesda, MD). First-strand cDNA was synthesized with the Superscript II kit (Life Technologies, Bethesda, MD) primed with random hexamers. The common IgC{gamma} primer was end labeled with [{gamma}-32P]dATP and T4 polynucleotide kinase (New England Biolabs, Beverly, MA), and PCR was performed in 11 separate tubes (one per VH family). Reactions were conducted in 25 µl of PCR buffer (100 mM Tris-HCl (pH 9.0), 500 mM KCl, 1% Triton X-100, and 0.2% BSA) containing 0.1 µM of each primer, 0.2 mM dNTPs, 1.5 mM MgCl2, and 2 U of Taq polymerase (Perkin-Elmer, Norwalk, CT). After 2 min of denaturation at 94°C, 30 cycles of 94°C for 1 min, 55°C for 45 s, and 72°C for 1 min were performed, followed by a final extension of 7 min at 72°C. Typically, 3-µl aliquots were electrophoresed on 6% acrylamide/bisacrylamide (19/1) gels for 3–4 h at 30 W. The gels were dried and exposed to high sensitivity radiographic film (Hyperfilm, Amersham, Aylesbury, U.K.) for 1–3 days. Signals were quantified by digitizing the films with a scanner (UMAX Data Systems, Taiwan), and m.w. values for bands were assigned by analyzing the digitized images with the Gelbase/Gelblot Pro3.3 software (UVP, Upland, CA).

Spectratyping and perturbation charts

The intensity of each band is expressed as a percentage relative to the summation of all the bands on a lane. Average spectratyping profiles of normal PBL were included for each VH family in the respective chart to facilitate visual reading of perturbation (white curve in three-dimensional charts). Perturbations were assigned essentially as reported by Gorochov et al. (25) for the TCR repertoire. Patients’ cumulative perturbation landscapes were assembled by plotting the positive and negative relative values from each VH family. This allows an overall representation of the perturbation for each patient for all Ig VH gene families.

Cloning of PCR products and sequencing

IgVH-rearranged PCR were gel purified with QIAEX II (Qiagen, Valencia, CA) and cloned into PCR-TOPO 2.1 vector with the TOPO-TA cloning system (Invitrogen, Carlsbad, CA). Twelve to fifteen white colonies were randomly picked and grown overnight in LB/Amp, and plasmids were purified with the kit PerfectPrep (5 Prime->3 Prime, Boulder, CO). Samples were sequenced with both forward and reverse M13 primers using the ABI PRISM Big Dye Terminator cycle sequencing kit (Perkin-Elmer, Norwalk, CT) in combination with halfTERM Dye terminator sequencing reagent (Genpak, Stony Brook, NY) and were run in the ABI PRISM 377 DNA sequencer (Applied Biosystems, Foster City, CA).

Sequence analyses

Sequencher 3.1 software (Gene Codes Corp., Ann Harbor, MI) was used to construct a customized database that included all the germline DNA sequences and known alleles for VH1, VH4, and JH genes, as well as for D segments, as reported in the VBASE. The best matches with VH and JH germline genes were first assigned for each sequence. D segments were assigned following the criteria of Corbett et al. (26). Accordingly, neither D segment duplications, inversions, minor D segments, nor D segments with irregular spacer signals (DIR) usage were considered, and in general, a minimum of 10 exact matches with germline sequences was set as the cut-off for a valid association. Four sequences from family VH1 and three sequences from family VH4 were excluded from the analysis because they matched the opposite VH family, possibly as the result of a PCR cross-over (27). In addition, one sequence showed partial homology to the VH4 family but no similarity was found in either the D or the JH segments, and it was therefore discarded from the study.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Brain samples from 10 MS patients and four non-MS controls were analyzed by histochemical and molecular methods with the molecular biologist blinded to the origin of the sample. Table IGo summarizes the results of the immunohistochemistry. MS samples showed perivascular inflammation and a different degree of myelin degradation. In some samples (WM, ME) macrophages and astrocytosis were also detected in macroscopically normal appearing white matter (NAWM; nonplaque; Fig. 1Go). As indicated by the lesion type in Table IGo, the samples used in this study represent different stages of activity.


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Table I. Histopathology of 10 MS patients and 4 non-MS control samples1

 


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FIGURE 1. Representative histochemical analysis by LFB staining. Sample DA shows an obvious plaque area at the edge of the brain section (A) with perivascular cuffing and loose structure of the plaque. The presence of corpora amylacea at the level of the plaque and mild hypocellularity can be also distinguished. On the nonplaque side of the specimen (B) a normal LFB stain can be seen, with cells evenly distributed, resembling a normal white matter appearance. The plaque area of sample WM (C) displays islets of normal white matter in a background of demarcated myelin loss with hypercellularity. However, the normal appearance white matter for this patient (D) shows hypercellularity with loose cellular structure and poor LFB staining. Corpora amylacea is also present in this section.

 
B cells spectratyping

Oligonucleotide primers were designed to selectively amplify all the members of the VH1 (two sets), VH2, VH3 (five sets), VH4, VH5, and VH6 Ig gene families. The initial experimental design included the comparison of repertoires between the demyelinating tissue and the surrounding nonplaque material. However, when analyzed, Ig transcripts were detected in many of the NAWM samples, with a pattern similar to that observed in the pathological sections (data not shown). This finding together with histopathologic analyses of some of the samples suggest that periplaque tissue may contain B cells as found in the demyelinating plaque tissue. In addition, from the four non-MS controls, only one (with medical history of Alzheimer-type senile dementia) showed detectable RT-PCR amplification, indicating no significant B cell infiltration in the remaining three samples. To determine normal Ig profiles and to assess the CDR3 perturbation, PBL RNA from three healthy donors were also spectratyped, and the profiles were compared. To establish whether the PBL B cell repertoire changed over time, we studied the spectratyping profiles at 0, 2, and 4 wk; no significant changes were observed (data not shown).

The data obtained from an arbitrarily selected brain sample (SF; Fig. 2Go) illustrate the sequential experimental analysis. Fig. 2GoA displays the mean spectratyping profile for the VH3 family (primer set VH3a) in PBL from three healthy individuals. Similarly shaped curves were obtained when the rest of the VH families were analyzed (white curves in Fig. 3Go). The observed Gaussian distribution correlates well with the expected allocation of randomly rearranged VH, D, and JH gene segments, indicating that no bias in the CDR3 amplification occurred. This, therefore, confirms the appropriate design of VH-specific oligonucleotide primers.



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FIGURE 2. Strategy to measure and calculate perturbation in CDR3 profiles. A, IgVH3 (primer set a) spectratyping of PBL. Values represent the mean of three healthy individuals ± SD. B, The spectratyping profile of an MS brain sample (SF) is illustrated in filled bars together with the same PBL distribution as that shown in A. C, Positive (white) and negative (black) perturbations can be identified by subtracting the areas from the two curves in B. Gray bars indicate shared intensity between samples and control PBL. D, Patients’ perturbation charts were assembled by compiling the individual data for each VH family. Perturbations of 5% or more are depicted in white (positive), and perturbations of -5% or less are shown in black (negative).

 


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FIGURE 3. CDR3 spectratyping of 10 MS patients. The intensity of the spectratyping obtained for each IgVH family (y-axis) in every individual (z-axis) was plotted against the m.w. (x-axis). Each panel corresponds to a different primer set used to amplify VH families. Mean values for PBL from healthy donors are shown in white for all VH families. Profiles corresponding to patients are depicted in gray.

 
To measure the perturbation of the B cell repertoire in the MS brain, we used a recently reported approach based on the detailed comparison of pathologic and normal spectratyping profiles (25). In this method, initially developed for the analysis of clonal fluctuations in TCR after HIV infection, positive and negative differences in intensity for each band as compared with PBL (Fig. 2GoA) are computed and displayed in a two-dimensional graph (Fig. 2Go, B and C). The cumulative perturbations from the same patient are then arranged in a single three-dimensional chart (Fig. 2GoD).

Restricted repertoire patterns were observed in most of the IgVH families when samples from MS patients were compared with the mean of normal PBL. As shown in Fig. 3Go, several samples show an oligoclonal profile, consistent with a restricted B cell response. Family IgVH1 (primer sets VH1a and VH1b) was one of the families with the highest proportion of samples showing oligoclonal bands (i.e., samples WM, JR, MF, SF, and ME). These findings are in contrast with the relatively broader CDR3 expression pattern seen in samples of the whole IgVH3 family (primer sets 3a–3e). This correlates with previously reported data (28) and could be explained in part by the larger size of the family VH3, which counts 22 functional genomic segments compared with only 11 in family VH1. However, when the profile of family VH1 was compared with that of the family VH4, which is identical in size, the former still displays a more restricted pattern. The detailed representation of the perturbation within families VH1 (Fig. 4GoA) and VH4 (Fig. 4GoB) shows extensive positive and negative perturbation in several samples, with those belonging to family VH1 being the most clearly affected.




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FIGURE 4. Individual perturbation charts for family VH1a and VH4. A, Perturbations in family VH1. B, Perturbations in family VH4. Positive perturbations of the normal distribution obtained with PBL were computed as the difference between the intensity of a given band and those of the PBL for the same m.w. and are shown in white. Similarly, negative perturbations were calculated as the difference between the intensity of a given band and those of the PBL for the same m.w. and are depicted in black. The fraction of a sample that shared intensity with that of the PBL for a given m.w. is shown in gray.

 
Fig. 5Go summarizes the perturbation profiles obtained for all IgVH families in each of the 10 MS patients studied. A marked perturbation was observed in most patients. Although the degree of perturbation varies among patients, positive differences were observed in all cases when compared with control PBL, implying a preferential expansion of defined clones rather than selective suppression of others. No obvious correlation was observed between the histopathologic classification of the plaque and the degree of perturbation.



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FIGURE 5. Perturbation landscapes. Each chart shows the summary of the VH perturbation profiles obtained for each patient and each VH family. Perturbations >5% are shown in magenta (positive) and cyan (negative), respectively. Variations <5% are illustrated in light yellow.

 
Cloning and sequencing families VH1 and VH4

To further analyze the perturbation patterns, new reverse transcribed PCR products were cloned into a plasmid vector, and ~12–15 colonies/sample were sequenced for both IgVH families. A total of 108 sequences were analyzed for the family VH1 clones, and 91 sequences were analyzed for the family VH4 clones. Of those 199 sequences, 36 (18 from each family) corresponded to nonproductive rearrangements (i.e., contained at least one stop codon in each possible reading frame, or the CDR3 was not long enough for VH, D, and JH segments to be identified) and, thus, were not further analyzed.

Tables II and III summarize the sequencing data of families VH1 and VH4 for the MS patients and the non-MS sample (HJ) used as a control. The names of the closest germline genes are indicated in parentheses next to each segment. D segments are underlined when a significant match with the germline sequence has been found. Not a single productive rearrangement of 12 independent colonies that were scrutinized could be identified on sample RR for family VH4. Most of the MS samples showed clusters of sequences (contigs) that were >98% identical (at the nucleotide level) throughout their CDR3, reflecting clonal expansion. Significantly, the sample that showed the fewest number of expanded clones for both IgVH families was HJ (the non-MS control), suggesting an unrestricted B cell population. The average numbers of clones per contig (second column in Table IIGo) were 4.2 and 2.8 for the VH1 and VH4 families, respectively. These data are in agreement with our previous observation that family VH1 showed a more restricted spectratyping profile compared with that of family VH4. From our analysis it would appear that there is no obvious relationship between either the length of the CDR3 or the number of N nucleotides added and the type of demyelinating lesion.


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Table II. CDR3 analysis: family VH1 clones

 
VH gene utilization

Family-specific sense primers were designed to be homologous to part of the IgVH FR3. Accordingly only the last 60 nucleotides from each VH family gene were identified, on the average. Although this was sufficient to identify most of VH1 and VH4 family members, the specific VH gene, usage in some clones could not be definitively ascertained. In those cases, all the matching members are mentioned in Tables II and III, separated by a backslash. IgVH family members VH4–39 (DP79) and VH4–34 (DP63) accounted for 25% of the total rearranged Ig that used the VH4 family. This correlates well with previously reported data in which VH4–39 was the most frequently expressed VH4 gene in an MS brain sample (27). Our findings are also in agreement with those of Suzuki et al. (29), who reported that in normal individuals VH4–34 is the most used IgVH gene. The most used VH1 gene in our study was VH1–69 (DP10), with a frequency of 30%. The fact that nearly all members from the analyzed VH families were found confirms that the primer design was accurate for our purposes.

Usage of D segments

Diversity segments were assigned according to the criteria of Corbett et al. (26) based on homology with the VBASE. Only matches to true D segments were considered without taking into account the DIR genes or minor D segments. This reasoning also excludes D duplications and inversions as valid rearrangements. Our data showed a broad D segment utilization with at least one member of each family. Known D segments were only found in 49% (21 of 43) and 40% (19 of 48) of the different productive rearrangements for families VH1 and VH4, respectively. Reading frame (RF) usage was also studied for the identified D segments (shown in parentheses next to the D gene name in Tables II and III). Given that the three possible RF in D segments can be classified as hydrophilic, hydrophobic, or containing a stop codon, we analyzed their usage distribution. In agreement with a recently published analysis of 893 rearranged human heavy chain sequences (26), we detected a strong bias toward the hydrophilic RF usage by VH1 (81% (17 of 21)) and VH4 (58% (11 of 19)) for the rearrangements using a known D segment. As shown in Fig. 6Go, the frequency of D segment utilization (by family) correlates reasonably well when compared with frequencies reported from two other independent studies (26, 30) and to expected frequencies (calculated according to the size of each family and assuming a random usage of the known functional D segments). However, a lower frequency was observed here for D5 and a higher one for D2 family members (p < 0.05). All three studies showed significant differences when compared with the expected frequency of D segments, particularly for families D1 and D3. The over-representation of segments from family D3 and the under-representation of those from family D1 in these three studies suggest that the selective usage of particular D family segments is independent of their family size. When individual D segments were analyzed in our study, a significant overuse was found for D2–2, D2–15, D3–10, D3–22, and D6–19 if compared with the expected frequencies (p = 0.05). The same tendency for these segments has been reported previously for the general population by Corbett et al. (26).



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FIGURE 6. D and JH segment usage. The frequency of each family was calculated and compared with that of previously reported studies and to expected values as well. A, Comparative D segment usage. Expected frequencies are shown in solid bars, data from our study are shon in white, data from the study by Corbett et al. (26 ) are cross-hatched, and those from the report by Yamada et al. (30 ) are dotted. Frequencies were calculated from the total number of D segments found in each study and organized per family. B, Comparative JH segment usage. Expected frequencies are shown in solid bars, data from our study are shown in white, data from the study by Brezinschek et al. (mutated and unmutated frequencies were pooled for comparison) (28 ) are cross-hatched, and those from the report by Yamada et al. (30 ) are dotted.

 
JH gene usage

The utilization of JH genes was analyzed by aligning the obtained sequences to our CDR3 gene database. Because the reverse primer in all amplifications was homologous to a constant {gamma} gene, the entire JH region was sequenced, and therefore allele assignment was possible. At least one member of each family was identified. In a few cases, allelic discrimination between JH4a and JH4d was not possible because mutations were found at one or both positions that differentiate them. In those cases, both members are named and separated by a backslash in Tables II and III. Nevertheless, the utilization of JH genes could be compared with that of two other independent studies as well as to their expected frequencies (Fig. 6Go). There were no significant differences among the three studies in terms of JH family gene utilization, except for the higher frequency in JH6 reported by Brezinschek et al. (28). However, all three studies showed a significant over-representation of JH4 family members (p = 0.05).


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Inflammatory lesions found in MS brains have long been associated with T cell- and macrophage-mediated immune responses. However, attention has also been recently focused on B cells because of the potential role of Ab-producing plasmocytes in tissue injury (8, 10), Ag presentation, and T cell activation (9, 11, 12, 13, 31). To better understand their potential pathogenic role in MS pathology, we PCR amplified and analyzed by size spectratyping and sequencing the Ig heavy chain CDR3 repertoire in 10 MS brain samples, representative of the natural cycle of plaque activity.

It has been previously shown that oligoclonal Igs are produced within the CNS in MS (2, 32). In a series of elegant experiments, Knopf and colleagues (32) demonstrated in a rat model with an intact blood-brain barrier the trafficking of activated Ag-specific B cells into the brain, retention, and Ab production. Their data demonstrated that the brain microenvironment supports the development of Ag-directed humoral immunity. Following activation and somatic hypermutation in peripheral lymphoid organs, B cells home to the CNS where they mature to plasma cells (33). The high level of rearranged transcripts we observed in MS brains, but not in non-MS noninflammatory brain tissues suggests that the oligoclonal bands found by spectratyping are likely to be the result of Ab synthesis within the plaques. Furthermore, the morphological analysis of early MS plaques revealed that most of the infiltrating cells positive for intracellular Ig staining were plasma cells (1).

Surprisingly, similar patterns of amplification were observed in some nonplaque tissue samples, indicating a specific, but disseminated, humoral immune response in the MS CNS. Histopathologic analysis of MS brain tissue showed clear evidence of local inflammation in the demyelinating plaque and periplaque tissue as well as in NAWM demonstrated by the presence of perivascular hypercellularity, mainly mononuclear cells, macrophages, and astrocytes (Fig. 1Go). In a recent report, Goodkin and colleagues (34) detected significant pathological characteristics in the NAWM of MS brains when analyzed by sophisticated imaging techniques such as gadolinium enhancement, water proton density, water proton T2 relaxation time constants, magnetization transfer ratio, and T1-weighted signal intensity. Abnormalities in these NAWM regions generally preceded the appearance of the macroscopically visible lesion. With one notable exception (a specimen from a patient with Alzheimer-type senile dementia; HJ), our attempts to amplify IgVH rearranged genes from brain samples with no evidence of inflammatory disease failed consistently, indicating that few or no plasma cells were present in such tissue. On the other hand, MS samples showed robust and reproducible CDR3 amplifications, but significantly different from the normal distribution observed in PBL, suggesting specific B cell expansions.

Spectratyping of IgVH rearrangements showed a relatively restricted VH1 repertoire. A recent study provides evidence that the CDR3 structure, independent from the VH framework, is sufficient to define the specificity of an Ab (35). When a more detailed anal-ysis of the CDR3 region in VH1 and VH4 gene families (both account for 11 genes) was performed, the former still showed a more restricted pattern in most samples. Rearranged transcripts from these two families were cloned and sequenced, and a direct correlation between the restricted patterns in the spectratyping analysis and the number of identical clones was observed. In most cases where an oligoclonal pattern was found, a homogeneous population was identified by sequencing, and generally, the more restricted the pattern, the larger the resulting contig. In this context, Hauser and colleagues demonstrated that clonally restricted B cell populations are also present in peripheral blood from MS patients (36). More recently, Qin et al. (4) and Owens et al. (27) have shown that restricted B cell populations can be found in the brain and CSF of such patients.

Family VH4 has been reported to be the most frequently used VH family in the blood from rheumatoid arthritis patients (37) and in MS brains (27), occurring well above the expected frequency. In those and other quantitative studies, family VH1 was markedly under-represented (28, 38, 39). In our study we found a higher clonal distribution for members of the family VH1 compared with those of VH4, suggesting the relevance of this IgVH gene family in MS. However, given that our study was not intended to be quantitative, we could not compare frequencies, and the relative role and involvement of VH1 vs VH4 families remain to be determined. The frequency of D segment usage reported here correlates well with the findings of other studies involving both autoimmune diseases and normal individuals. This suggests that the bias found toward the usage of particular D segments may be due to molecular, rather than immune, selection mechanisms.

In a recent study Corbett et al. (26), using 10 nucleotides as the minimum cut-off for aligning a D segment, were unable to find any evidence for the use of DIR segments and minor segments or for any other mechanisms such as D duplication or inversion as previously suggested (28, 40). Using similar stringent criteria, we found that nearly half the MS brain sequences we analyzed did not match a germline D segment, a finding in complete agreement with the analysis of 893 rearranged transcripts reported by the same investigators (26). The reason for this is not yet clear, but it is possible that exonuclease activity, somatic mutation, and addition of N nucleotides have modified the sequence of a germline D segment to the point of making it different enough to be recognized by the alignment algorithm. As far as the usage of JH genes is concerned, family JH4 was the most frequently used. However, this over-representation has no direct relationship to the type of lesion in our cohort of MS patients. In studies of other autoimmune diseases and normal individuals, this gene family has been found to be over-represented as well (28, 29, 41). This suggests that the preferential usage of this gene family is not related to an Ag-mediated immune response but, rather, would correspond to molecular mechanisms. In this regard, it has been proposed that because family JH4 is the only one with a conventional 23-bp spacer between the 5' heptamer and nonamer coding sequences, the JH-D recombination would be facilitated (28).

It is now well established that a higher than expected replacement/silent (R/S) ratio in CDR and a lower than expected R/S ratio in FR regions usually reflect positive and negative selection pressures, respectively; this is consistent with Ag-driven affinity maturation. Given our experimental design, only CDR3 and part of FR3 were sequenced; hence, CDR1, CDR2, and FR could not be analyzed for R/S ratios. However, the fact that only a single two-sequence contig was found in the control sample (HJ) is consistent with Ag-specific activation of the expanded clones through positive selection. Dominant CDR3 motifs among different patients have not been detected. Genetic heterogeneity among the studied individuals and/or determinant spreading (42) may explain different epitope selection. Our experimental approach requires considering the magnitude of the polymerase-induced error rate. Previous studies studying PCR fidelity showed that the error rate could be as low as 8 x 10-6 (43) and as high as 2.1 x 10-4 (44) depending on the templates and PCR conditions. Breszinchek et al. (28) reported an error rate of 1–2 x 10-3 for single-cell PCR of rearranged IgM genes on CD5+ B cells, corresponding to 0.3–0.5 mutations per VH gene. These data indicate that PCR-generated mutations do not interfere significantly with our results.

In conclusion, our findings are consistent with the hypothesis that an Ag-driven process may be responsible for the accumulation of particular subsets of B cells in the MS brain rather than this being the result of random B cell activation. Moreover, it is conceivable that such B cells underwent clonal expansion in response to chronic stimulation by pathogens or autoantigens. The identification of the Ag or Ags against which this selective B cell response occurs may provide important insights into the question of blood-brain barrier disruption, immune-mediated demyelination, and atrophy.


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Table III. CDR3 analysis: family VH4 clones

 

    Acknowledgments
 
Some of the VH-specific primer sequences were kindly provided by Dr. J. Gorsky.


    Footnotes
 
1 This work was supported by grants from the National Institutes of Health (R01NS35761) and the National Multiple Sclerosis Society (RG 2901). C.C.A.B. was supported by a Fulbright Visiting Scholar Award while on sabbatical leave from the Neuroimmunology Laboratory, La Trobe University (Bundoora, Australia). Back

2 Address correspondence and reprint requests to Dr. Jorge Oksenberg, Department of Neurology, University of California, 513 Parnassus Avenue, Medical Science Building, Room S-256, San Francisco, CA 94143-0435. E-mail address: Back

3 Abbreviations used in this paper: MS, multiple sclerosis; CSF, cerebrospinal fluid; CDR3, complementary-determining region 3; D, diversity genes; JH, joining segments; MBP, myelin basic protein; LFB, luxol fast blue; Tri, trichrome; DIR, D segments with irregular spacer signals; NAWM, normal appearing white matter; FR, framework region; RF, reading frame; R/S, replacement to silent ratios. Back

Received for publication June 8, 1999. Accepted for publication August 24, 2999.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

  1. Esiri, M. M.. 1980. Multiple sclerosis: a quantitative and qualitative study of immunoglobulin-containing cells in the central nervous system. Neuropathol. Appl. Neurobiol. 6:9.[Medline]
  2. Tourtellotte, W. W., R. W. Baumhefner, K. Syndulko, P. Shapshak, M. Osborne, G. Rubinshtein, L. Newton, G. Ellison, L. Myers, I. Rosario, et al 1988. The long march of the cerebrospinal fluid profile indicative of clinical definite multiple sclerosis, and still marching. J. Neuroimmunol. 20:217.[Medline]
  3. Andersson, M., J. Alvarez-Cermeno, G. Bernardi, I. Cogato, P. Fredman, J. Frederiksen, S. Fredrikson, P. Gallo, L. M. Grimaldi, M. Gronning, et al 1994. Cerebrospinal fluid in the diagnosis of multiple sclerosis: a consensus report. J. Neurol. Neurosurg. Psychiatry 57:897.[Abstract/Free Full Text]
  4. Qin, Y., P. Duquette, Y. Zhang, P. Talbot, R. Poole, J. Antel. 1998. Clonal expansion and somatic hypermutation of V(H) genes of B cells from cerebrospinal fluid in multiple sclerosis. J. Clin. Invest. 102:1045.[Medline]
  5. Bernard, C. C., V. B. Randell, L. B. Horvath, P. R. Carnegie, I. R. Mackay. 1981. Antibody to myelin basic protein in extracts of multiple sclerosis brain. Immunology 43:447.[Medline]
  6. Zhou, S. R., C. C. Maier, G. W. Mitchell, C. C. LaGanke, J. E. Blalock, J. N. Whitaker. 1998. A cross-reactive anti-myelin basic protein idiotope in cerebrospinal fluid cells in multiple sclerosis. Neurology 50:411.[Abstract/Free Full Text]
  7. Lassmann, H.. 1998. Neuropathology in multiple sclerosis: new concepts. Mult. Scler. 4:93.[Abstract/Free Full Text]
  8. Genain, C. P., B. Cannella, S. L. Hauser, C. S. Raine. 1999. Identification of autoantibodies associated with myelin damage in multiple sclerosis. Nat. Med. 5:170.[Medline]
  9. Fierz, W., K. Heininger, B. Schaefer, K. V. Toyka, C. Linington, H. Lassmann. 1988. Synergism in the pathogenesis of EAE induced by an MBP-specific T-cell line and monoclonal antibodies to galactocerebroside or a myelin oligodendroglial glycoprotein. Ann. NY Acad. Sci. 540:360.
  10. Lassmann, H., C. Brunner, M. Bradl, C. Linington. 1988. Experimental allergic encephalomyelitis: the balance between encephalitogenic T lymphocytes and demyelinating antibodies determines size and structure of demyelinated lesions. Acta Neuropathol. 75:566.[Medline]
  11. Wekerle, H., K. Kojima, J. Lannes-Vieira, H. Lassmann, C. Linington. 1994. Animal models. Ann. Neurol. 36:S47.
  12. Nossal, G. J.. 1997. Host immunobiology and vaccine development. Lancet 350:1316.[Medline]
  13. Grewal, I. S., R. A. Flavell. 1996. The role of CD40 ligand in costimulation and T-cell activation. Immunol. Rev. 153:85.[Medline]
  14. Bernard, C. C., N. Kerlero de Rosbo. 1992. Multiple sclerosis: an autoimmune disease of multifactorial etiology. Curr. Opin. Immunol. 4:760.[Medline]
  15. Roddy, J., I. Clark, B. L. Hazleman, D. A. Compston, N. J. Scolding. 1994. Cerebrospinal fluid concentrations of the complement MAC inhibitor CD59 in multiple sclerosis and patients with other neurological disorders. J. Neurol. 241:557.[Medline]
  16. Kerlero de Rosbo, N., C. C. Bernard. 1989. Multiple sclerosis brain immunoglobulins stimulate myelin basic protein degradation in human myelin: a new cause of demyelination. J. Neurochem. 53:513.
  17. Menon, K. K., S. J. Piddlesden, C. C. Bernard. 1997. Demyelinating antibodies to myelin oligodendrocyte glycoprotein and galactocerebroside induce degradation of myelin basic protein in isolated human myelin. J. Neurochem. 69:214.[Medline]
  18. Amigorena, S., C. Bonnerot. 1998. Role of B-cell and Fc receptors in the selection of T-cell epitopes. Curr. Opin. Immunol. 10:88.[Medline]
  19. Fazekas de St. Groth, B., M. C. Cook, A. L. Smith. 1997. The role of T cells in the regulation of B cell tolerance. Int. Rev. Immunol. 15:73.[Medline]
  20. Kurosawa, Y., S. Tonegawa. 1982. Organization, structure, and assembly of immunoglobulin heavy chain diversity DNA segments. J. Exp. Med. 155:201.[Abstract/Free Full Text]
  21. Tonegawa, S.. 1983. Somatic generation of antibody diversity. Nature 302:575.[Medline]
  22. Berek, C., C. Milstein. 1987. Mutation drift and repertoire shift in the maturation of the immune response. Immunol. Rev. 96:23.[Medline]
  23. Gorski, J., M. Yassai, X. Zhu, B. Kissela, C. Keever, N. Flomenberg. 1994. Circulating T cell repertoire complexity in normal individuals and bone marrow recipients analyzed by CDR3 size spectratyping: correlation with immune status. J. Immunol. 152:5109.[Abstract]
  24. Sanders, V., A. J. Conrad, W. W. Tourtellotte. 1993. On classification of post-mortem multiple sclerosis plaques for neuroscientists. J. Neuroimmunol. 46:207.[Medline]
  25. Gorochov, G., A. U. Neumann, A. Kereveur, C. Parizot, T. Li, C. Katlama, M. Karmochkine, G. Raguin, B. Autran, P. Debre. 1998. Perturbation of CD4+ and CD8+ T-cell repertoires during progression to AIDS and regulation of the CD4+ repertoire during antiviral therapy. Nat. Med. 4:215.[Medline]
  26. Corbett, S. J., I. M. Tomlinson, E. L. L. Sonnhammer, D. Buck, G. Winter. 1997. Sequence of the human immunoglobulin diversity (D) segment locus: a systematic analysis provides no evidence for the use of DIR segments, inverted D segments, "minor" D segments or D-D recombination. J. Mol. Biol. 270:587.[Medline]
  27. Owens, G. P., H. Kraus, M. P. Burgoon, T. Smith-Jensen, M. E. Devlin, D. H. Gilden. 1998. Restricted use of VH4 germline segments in an acute multiple sclerosis brain. Ann. Neurol. 43:236.[Medline]
  28. Brezinschek, H. P., S. J. Foster, R. I. Brezinschek, T. Dorner, R. Domiati-Saad, P. E. Lipsky. 1997. Analysis of the human VH gene repertoire: differential effects of selection and somatic hypermutation on human peripheral CD5+/IgM+ and CD5-/IgM+ B cells. J. Clin. Invest. 99:2488.[Medline]
  29. Suzuki, I., L. Pfister, A. Glas, C. Nottenburg, E. C. Milner. 1995. Representation of rearranged VH gene segments in the human adult antibody repertoire. J. Immunol. 154:3902.[Abstract]
  30. Yamada, M., R. Wasserman, B. A. Reichard, S. Shane, A. J. Caton, G. Rovera. 1991. Preferential utilization of specific immunoglobulin heavy chain diversity and joining segments in adult human peripheral blood B lymphocytes. J. Exp. Med. 173:395.[Abstract/Free Full Text]
  31. Olsson, T., S. Baig, B. Hojeberg, H. Link. 1990. Antimyelin basic protein and antimyelin antibody-producing cells in multiple sclerosis. Ann. Neurol. 27:132.[Medline]
  32. Knopf, P. M., C. J. Harling-Berg, H. F. Cserr, D. Basu, E. J. Sirulnick, S. C. Nolan, J. T. Park, G. Keir, E. J. Thompson, W. F. Hickey. 1998. Antigen-dependent intrathecal antibody synthesis in the normal rat brain: tissue entry and local retention of antigen-specific B cells. J. Immunol. 161:692.[Abstract/Free Full Text]
  33. Cserr, H. F., P. M. Knopf. 1992. Cervical lymphatics, the blood-brain barrier and the immunoreactivity of the brain: a new view. Immunol. Today 13:507.[Medline]
  34. Goodkin, D. E., W. D. Rooney, R. Sloan, P. Bacchetti, L. Gee, M. Vermathen, E. Waubant, M. Abundo, S. Majumdar, S. Nelson, et al 1998. A serial study of new MS lesions and the white matter from which they arise. Neurology 51:1689.[Abstract/Free Full Text]
  35. Seidl, K. J., J. A. Wilshire, J. D. MacKenzie, A. B. Kantor, L. A. Herzenberg. 1999. Predominant VH genes expressed in innate antibodies are associated with distinctive antigen-binding sites. Proc. Natl. Acad. Sci. USA 96:2262.[Abstract/Free Full Text]
  36. Hauser, S. L., H. L. Weiner, K. A. Ault. 1982. Clonally restricted B cells in peripheral blood of multiple sclerosis patients: {kappa}/{lambda} staining patterns. Ann. Neurol. 11:408.[Medline]
  37. Kohsaka, H., D. A. Carson, L. Z. Rassenti, W. E. Ollier, P. P. Chen, T. J. Kipps, N. Miyasaka. 1996. The human immunoglobulin V(H) gene repertoire is genetically controlled and unaltered by chronic autoimmune stimulation. J. Clin. Invest. 98:2794.[Medline]
  38. Kipps, T. J., S. F. Duffy. 1991. Relationship of the CD5 B cell to human tonsillar lymphocytes that express autoantibody-associated cross-reactive idiotypes. J. Clin. Invest. 87:2087.
  39. Jr Schroeder, H. W., J. L. Hillson, R. M. Perlmutter. 1987. Early restriction of the human antibody repertoire. Science 238:791.[Abstract/Free Full Text]
  40. Sanz, I.. 1991. Multiple mechanisms participate in the generation of diversity of human H chain CDR3 regions. J. Immunol. 147:1720.[Abstract]
  41. Sanz, I., S. S. Wang, G. Meneses, M. Fischbach. 1994. Molecular characterization of human Ig heavy chain DIR genes. J. Immunol. 152:3958.[Abstract]
  42. Miller, S. D., C. L. Vanderlugt, W. S. Begolka, W. Pao, K. L. Neville, R. L. Yauch, B. S. Kim. 1997. Epitope spreading leads to myelin-specific autoimmune responses in SJL mice chronically infected with Theiler’s virus. J. Neurovirol. 3:(Suppl. 1):S62.
  43. Cline, J., J. C. Braman, H. H. Hogrefe. 1996. PCR fidelity of pfu DNA polymerase and other thermostable DNA polymerases. Nucleic Acids Res. 24:3546.[Abstract/Free Full Text]
  44. Keohavong, P., W. G. Thilly. 1989. Fidelity of DNA polymerases in DNA amplification. Proc. Natl. Acad. Sci. USA 86:9253.[Abstract/Free Full Text]



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