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May 11, 2004; 62 (9) Article

B- and T-cell markers in opsoclonus–myoclonus syndrome

Immunophenotyping of CSF lymphocytes

M. R. Pranzatelli, A. L. Travelstead, E. D. Tate, T. J. Allison, E. J. Moticka, D. N. Franz, M. A. Nigro, J. T. Parke, D. A. Stumpf, S. J. Verhulst
First published May 10, 2004, DOI: https://doi.org/10.1212/WNL.62.9.1526
M. R. Pranzatelli
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
MD
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A. L. Travelstead
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
BS MT (ASCP)
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E. D. Tate
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
FNP-C, MN
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T. J. Allison
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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E. J. Moticka
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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D. N. Franz
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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M. A. Nigro
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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J. T. Parke
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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D. A. Stumpf
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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S. J. Verhulst
From the Departments of Neurology (Dr. Pranzatelli, E. Tate and T. Allison), Pediatrics (Dr. Pranzatelli), Medical Microbiology and Immunology (Dr. Moticka, A. Travelstead), and Statistics and Research Consulting (Dr. Verhulst), Southern Illinois University School of Medicine, Springfield, Departments of Pediatrics and Neurology (Dr. Franz), University of Cincinnati, OH, Michigan Institute of Neurological Disorders (Dr. Nigro), Farmington Hills, Department of Neurology (Dr. Parke), University of Oklahoma College of Medicine, Oklahoma City, and Department of Neurology (Dr. Stumpf), Northwestern University, Evanston, IL.
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Citation
B- and T-cell markers in opsoclonus–myoclonus syndrome
Immunophenotyping of CSF lymphocytes
M. R. Pranzatelli, A. L. Travelstead, E. D. Tate, T. J. Allison, E. J. Moticka, D. N. Franz, M. A. Nigro, J. T. Parke, D. A. Stumpf, S. J. Verhulst
Neurology May 2004, 62 (9) 1526-1532; DOI: 10.1212/WNL.62.9.1526

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Abstract

Background: Although many lines of evidence suggest an autoimmune etiology, the pathophysiology of opsoclonus–myoclonus syndrome (OMS) remains poorly understood and no immunologic abnormalities have correlated with neurologic severity. Conventional immunotherapies often do not prevent relapse or permanent sequelae.

Objective: To test the cellular immune hypothesis of OMS in a cross-sectional study and determine if CSF lymphocyte subset analysis provides biomarkers of disease activity.

Methods: The expression of lymphocyte surface antigens was investigated in CSF and blood of 36 children with OMS and 18 control subjects, using a comprehensive panel of monoclonal antibodies to adhesion and activation proteins in combination with anti-CD3 and anti-CD45 antibodies in four-color fluorescence-activated cell sorting.

Results: Although most children with OMS had normal CSF cell counts, they exhibited expansion of CD19+ B-cell (up to 29%) and γδ T-cell (up to 26%) subsets and a lower percentage of CD4+ T-cells and CD4/CD8 ratio, which persisted even years after disease onset and conventional treatments. The percentage of activated CSF T-cells was also higher. Abnormalities correlated with neurologic severity, as scored blinded from videotapes using a 12-item motor scale, and disease duration. No significant differences were found between tumor and no-tumor groups. In children with neuroblastoma, tumor resection or cancer chemotherapy did not alter immunologic abnormalities.

Conclusions: CSF B- and T-cell recruitment is linked to neurologic signs in pediatric OMS, which may relate to relapses and disease progression.

Opsoclonus–myoclonus syndrome (OMS) is a neuropsychiatric disorder,1 in which autoimmunity may play an important role, characterized by relapses2 and often permanent sequelae.3,4⇓ The brainstem and cerebellum are thought to give rise to the principal motor features.3,5–7⇓⇓⇓ In children, neuroblastoma8 and viral infections9,10⇓ are the most common causes.11

The immunopathophysiology of childhood OMS has remained rather elusive. Basic information about the participant immune cell types in OMS is lacking, and there have been no convincing links between various autoantibodies6,12,13⇓⇓ and neurologic abnormalities. Because autoantibodies are not found in all cases and they do not cause OMS in laboratory animals when passively transferred from humans, we hypothesized cellular immune co-involvement.14 The same immune cell types involved in host tumor defenses, such as tumor-infiltrating lymphocytes and lymphokine-activated killer cells, could participate in the paraneoplastic syndrome through blood–brain barrier permeation after activation by onconeural antigens.

Lymphocytes traffic from brain capillaries through the CNS as part of a physiologic process of immune surveillance.15 Under various pathologic conditions, CSF can host increased numbers of αβ T-cells (helper/inducer; cytotoxic/suppressor), γδ T-cells, B-cells, natural killer (NK) cells, as well as cell types not normally found in CSF, such as plasma cells and macrophages.16–20⇓⇓⇓⇓ Expanded lymphocyte subsets in CSF may reflect increased trafficking or proliferation within the CSF.21

Flow cytometry, the most reliable method for quantitative analysis of lymphocyte subsets, allows cells to be analyzed simultaneously for expression of multiple immunologic markers.22 We now report a cross-sectional study of CSF leukocyte phenotype, activation, and maturation status in a carefully defined cohort of children with OMS.

Methods.

Subjects.

Thirty-six children with OMS were recruited through the National Pediatric Myoclonus Center, and their parents signed consent for this institutional review board–approved study. The clinical characteristics are shown in the table. A thorough search was made for occult neuroblastoma using neuroimaging and blood and urine tumor markers. Those with a previously identified tumor, which was either stage I or II in all but one case, had undergone tumor resection.

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Table Clinical characteristics of children with OMS

Scoring of neurologic status.

Each child was videotaped (see the supplementary material on the Neurology Web site; go to www.neurology.org). A trained observer blinded to treatment status rated motor impairment using the OMS Evaluation Scale, which we devised and validated.23 Items of the 12-part scale were rated from 0 to 3 as an index of increasing neurologic severity or impairment. Total score, which was calculated as the sum of subscores, tallied 36 in the most extreme cases.

Controls.

Control subjects included 18 children with myoclonus, ataxia, idiopathic intracranial hypertension, chronic daily headache, or developmental delay, who were undergoing a diagnostic evaluation. Routine CSF studies such as cell count, protein, and glucose were normal. None of the children ever received immunotherapy. The mean age was 8.5 ± 1.2 years (range 1.3 to 16 years). Seven were boys.

Lumbar puncture.

To prevent contamination of CSF with blood due to trauma, minimize sedation risks during lumbar puncture, standardize the degree of stress on immune function, and provide compassionate care, an anesthesiologist administered IV propofol after brief sevoflurane induction to insert the IV line. The lumbar puncture was performed in the lateral decubitus position, and the first 4 mL was sent for routine studies. An additional 8 to 10 mL, not to exceed 15% of the calculated total CSF volume, was collected for flow cytometry. Blood for parallel studies was also drawn.

CSF mononuclear cell count was 0 to 3 cells/mm3 in all children except three with OMS, who had pleocytosis with counts of 5 to 20 cells/mm3. The mean CSF white blood cell count of 1.3 ± 0.2/mm3 in control subjects was not statistically different from 1.5 ± 0.2/mm3 in OMS. The CSF red blood cell count was always ≤1, and CSF protein and glucose levels were normal.

Flow cytometry.

Cells were recovered from CSF through low-speed centrifugation (200 g, 7 minutes) and concentrated by resuspension in phosphate-buffered saline (PBS; pH 7.2) containing 0.5% bovine serum albumin (Sigma Chemicals, St. Louis, MO). CSF samples (100 μL/tube) were stained with 15 to 20 μL of monoclonal antibodies (mAb) directly conjugated with fluorescein isothiocyanate, phycoerythrin, allophycocyanin, or phycoerythrin-cyanine 5 (see table E-1 on the Neurology Web site), which were arranged as panels in several assay tubes (see table E-2 on the Neurology Web site).24 Samples were incubated for 20 minutes at room temperature. CSF leukocytes were washed and resuspended in 200 μL of PBS after final incubations.

Whole peripheral blood samples (100 μL/tube) were stained with the same panel of directly conjugated mAb used for CSF cells. They were further incubated for 10 minutes with 100 μL/tube Optilyse B (Immunotech, Marseille, France; Beckman-Coulter, Miami, FL). One milliliter of H2O was subsequently added to each sample and incubated for a final 10 minutes at room temperature.

All samples were acquired and analyzed by flow cytometry on a FACSCalibur cytometer equipped with a 488-nm argon/633-nm HeNe laser (Becton-Dickinson, San Jose, CA). For CSF mononuclear cell count of >3 cells/mm3, 1,000 events were counted; otherwise, 500 were counted. Data acquisition and analysis were performed with CellQuest (Becton-Dickinson). Dependent on the surface marker fluorochrome, data were plotted as log vs log of fluorescence. The relative size of each lymphocyte subset (percentage of positive cells) was expressed as the percentage within the total lymphocyte population or “lympho/monocyte gate,” as determined manually by forward and side scatter characteristics.

Quality control was maintained in several ways. The lymphocyte gate was checked by CD14/CD45 double staining and deemed pure if it included ≥95% of all lymphocytes and <5% contamination with granulocytes, monocytes, or cell debris. Appropriately labeled isotypes (IgG1) were used as internal controls in each analysis. Instrument calibration was monitored daily with Calibrite beads (Becton-Dickinson). A “lymphosum” was calculated as the sum of the percentage for T-cells, B-cells, and NK cells and found to equal 92 to 98%, as it should. For CD3, coefficients of variation were 2.0% (intrabatch) and 0.5% (interbatch), which fall within acceptable performance parameters.

Statistical analysis.

Dependent variables (CSF and blood lymphocytes and the CSF/blood ratio) were analyzed as means by two-tailed t-tests or one-way analysis of variance (ANOVA) on the Statistical Analysis System (SAS, Cary, NC), a computer software program for statistical analysis,25 using a significance level of p < 0.05. The Duncan Multiple Range Test was utilized for post-hoc subgroup comparisons of all statistically significant results from ANOVA to allow comparisons between OMS categories as well as with controls. The principal independent variables were diagnosis (OMS vs controls), etiology (tumor vs no tumor), neurologic severity (mild, moderate, severe), syndrome duration (acute, subacute, chronic), and treatment (current treatment vs no treatment, prior chemotherapy vs no chemotherapy). Pearson correlation coefficients were used for correlational analysis. Demographic data were analyzed by χ2 and χ2 goodness-of-fit tests. To evaluate unequal variances, we performed nonparametric tests, but as the results were substantially the same as the unequal-variance t-tests, only t-tests are reported here.

Because lymphocyte populations, in blood at least, may vary with age and there are no CSF data in healthy children, we looked for correlations between age and each type of lymphocyte in our control subjects. No significant correlations were found, so the data were pooled. This had the effect of increasing the mean age of our control subjects somewhat, but we felt it was more important, given the small sample size, to boost the statistical power. The same argument applies to blood, as the relative size of various lymphocyte populations in healthy children ages 2 to 5 years and 5 to 10 years differs by only 1 to 6%.26 Published normative CSF data for healthy young adults24 as well as children with various neurologic disorders19 were used to assess the comparability of our neurologic controls.

Results.

Distribution of lymphocyte population in CSF.

In control subjects, the prominent characteristic of normal CSF lymphocytes was the dominance of αβ T-cells (CD3+) and almost total lack of B-cells. The rank order of CSF lymphocytes was helper/inducer T-cells (CD3+CD4+) > cytotoxic/suppressor T-cells (CD3+CD8+) > γδ T-cells (T-cell receptor [TCR]-γδ+), NK cells (CD3−CD16/56+), NK-like T-cells (CD3+CD16/56+) >> B-cells (CD45+CD3−CD19+).

In OMS, abnormalities in the percentage of various cell types were found in all cases, despite the absence of CSF leukocytosis in most (figure 1). Percentages were lower for CD3+CD4+ cells (−19%; p = <0.0001) and minimally higher for CD3+CD8+ cells (+5%; p = 0.047). As a result, the mean ratio of CD4+ to CD8+ T-cells was less (−53%; p = 0.017). Percentages were higher for γδ T-cells (2.7-fold; p = <0.0001) and CD19+ B-cells (6.5-fold; p = 0.0004). There was a trend toward lower CD3+ cells (p = 0.055) but no intergroup difference in CD3− or CD3+ NK cells. The immunophenotype was not changed by presence of tumor or treatment.

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Figure 1. Distribution of CSF lymphocyte population. (A) In opsoclonus– myoclonus syndrome (OMS), the percentage of CD3+ cells and CD4+ T-cells was reduced compared with controls, but increases were found for CD19+ B-cells, γδ T-cells, and CD8+ T-cells. There were no statistically significant differences between tumor and no-tumor groups (B) or untreated and treated groups (C). Data are means ± SEM. The B-cell percentage for controls was 0.7 ± 0.2%. Asterisks signify statistical significance by t-tests: *0.01 ≤ p < 0.05, ***0.0001 ≤ p < 0.001, **** p < 0.0001.

Certain cell types were found in neither controls nor OMS. Based on CD45 staining and light scatter characteristics, no plasma cells or macrophages were detected in CSF. Monocytes regularly constituted <5% within the lympho/monocyte gate (data not shown).

Expression of T-cell activation markers in CSF.

We evaluated both human leukocyte antigen (HLA) DR and CD25 (interleukin-2 receptor) T-cell activation markers. HLA-DR+ T-cells accounted for approximately 12% of CD3+ cells in the CSF of control subjects, whereas few T-cells were CD25+ (figure 2). In OMS, the percentage of HLA-DR+ T-cells was 51% greater (p = 0.0006), as can be seen in representative flow cytometric displays (see figure E-1 on the Neurology Web site). The percentage of CD3+CD25+ cells was not significantly different in OMS. OMS etiology and treatment had no significant effect.

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Figure 2. CSF CD3+ T-cell activation markers in control subjects vs opsoclonus–myoclonus syndrome (OMS) (A), tumor vs no tumor (B), and untreated vs treated OMS (C). Data are means ± SEM. Asterisks signify statistical significance by t-tests: ***0.0001 ≤ p < 0.001. In OMS, 21 of 36 children had values above the upper confidence limit of the control group for human leukocyte antigen DR+ T-cells (up to 34%) but only 11 children for CD3+CD25+ cells (up to 25%).

CSF T-cell markers of maturation.

In a comparison of CD45R isoforms on CD3+ cells from control subjects, the percentage of “memory” (CD45RO+) T-cells was about twofold higher than that of “naive” (CD45RA+) T-cells (p = 0.0004). However, there were no significant differences between controls and OMS for CD45RO+ (47.3 ± 4.4 and 43.5 ± 4.0, respectively) or CD45RA+ (21.7 ± 4.8 and 18.5 ± 1.9) T-cells. OMS etiology and treatment also had no significant effects with the exception of slightly lower CD45RA+ cells in the no-tumor group (−9%; p = 0.019) (data not shown).

Relation of neurologic severity of OMS to CSF cell types.

The effect of neurologic severity on the percentage of CD19+ B-cells as well as CD4+ and TCR-γδ+ T-cells was statistically significant (figure 3). Reciprocal relations were seen between αβ T-cells and γδ T-cells. The two children with the highest percentage of CSF γδ T-cells (26%) or B-cells (29%) were most severe (total scores 34 and 36, respectively). Severity correlated negatively with the percentage of CD3+ cells (r = −0.56, p = 0.0012) and CD3+CD4+ cells (r = −0.38, p = 0.024). A positive correlation was found with the percentage of CD19+ cells (r = 0.37, p = 0.03), TCR-γδ+ cells (r = 0.54, p = 0.0019), and CD3− NK cells (r = 0.38, p = 0.04). There were no other significant correlations.

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Figure 3. Relation between neurologic severity (total score) in opsoclonus–myoclonus syndrome (OMS) and percentage of CSF CD4+ T-cells (A), γδ T-cells (B), and CD19+ B-cells (C). Sample size is shown at the base of each column. Data are means ± SEM. Asterisks indicate statistically significant differences between OMS severity categories on Duncan test, p < 0.05. Dagger indicates significant differences between OMS and control subjects. Analysis of variance with linear trend analysis revealed that the more severely affected children (higher total score) had a lower percentage of CSF CD4+ T-cells (F = 20.6, p ≤ 0.0001). In contrast, the percentage of CSF γδ T-cells increased with severity (F = 25.6, p ≤ 0.0001), being nearly double in the severe category, and the percentage of CSF CD19+ B-cells was also higher (F = 21.2, p ≤ 0.0001).

Relation of syndrome duration to CSF cell types.

The duration of illness correlated with the CD4/CD8 ratio (r = 0.40, p = 0.015) and the percentage of CD4+ T-cells (r = 0.44, p = 0.007) and CD3+ cells (r = 0.38, p = 0.039). There was a negative correlation with TCR-γδ+ cells (r = −0.37, p = 0.043) and total score (r = −0.45, p = 0.008).

CSF/blood lymphocyte ratios.

In control subjects, the percentage of all cells in CSF exceeded that in paired peripheral blood, except for B-cells and CD45RA+ T-cells. The magnitude of CSF/blood ratios differed significantly between cell types (figure 4). The percentage of CD3+HLA-DR+ cells was sevenfold higher in CSF than in blood, whereas the percentage of CSF CD19+ B-cells was only one-twentieth of that in blood. The means of other ratios were just above 1.0, with the exception of the CD3+ NK cell ratio and CD45RO+ cell ratio, which were about threefold higher.

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Figure 4. CSF/blood lymphocyte ratios. (A) In opsoclonus–myoclonus syndrome (OMS), the ratios for γδ T-cells, CD19+ B-cells, and CD3+CD16/56+ cells were significantly increased. The B-cell ratios were 0.05 ± 0.01 for controls and 0.16 ± 0.03 for OMS. (B) There were no statistically significant differences between the tumor and no-tumor groups. Data are means ± SEM. Asterisks signify statistical significance by t-tests: *0.01 ≤ p < 0.05, ***0.0001 ≤ p < 0.001.

In OMS, the CSF/blood ratio for CD19+ B-cells was threefold higher than in control subjects (p = 0.0005). The γδ T-cell ratio was 2.4-fold higher (p = 0.0005) and correlated with total score (r = 0.61, p = 0.0004), syndrome duration (r = −0.42, p = 0.022), and the CD4/CD8 ratio (r = −0.49, p = 0.0075). There was a 2.4-fold higher ratio for CD3+NK cells in OMS (p = 0.04). Presence of a tumor and treatment had no effect. There were no other significant differences in lymphocyte ratios, with the exception of a lower HLA-DR+ cell ratio in chemotherapy-treated children (−57%; p = 0.0019).

The relative size of the peripheral blood mononuclear cell pool did not reflect the lymphocyte subset abnormalities found in CSF. There were no significant differences between control and OMS subjects. In the tumor group, approximately 1.5-fold higher percentages of CD19+ B-cells (p = 0.038) and HLA-DR+ T-cells (p = 0.048) were found (data not shown).

Comparability of pediatric neurologic control subjects and healthy young adults.

No major discrepancies were found between our control subjects and data from healthy young adults24 in the general distribution and relative proportions of CSF lymphocyte subsets. Our controls had a slightly lower percentage of CD3+ cells, CD4+ T-cells, and NK-like T-cells and a slightly higher percentage of NK cells and HLA-DR+ T-cells. Although we could find no study of CSF γδ T-cells in normal individuals, the percentage of γδ T-cells in our controls was comparable with that of a group of pediatric neurologic control subjects.19

Discussion.

To our knowledge, this is the first immunophenotyping study of CSF lymphocytes in OMS. We found multiple immunologic abnormalities involving B-cells and T-cells, as is the case with multiple sclerosis and a growing number of human autoimmune diseases. Both lymphocyte populations infiltrate neuroblastomas to a high degree27 and may provide a link between peripheral indication of autoimmunity and CNS immunopathology. Because both B-cell and T-cell abnormalities were linked to neurologic dysfunction, they could account for relapses and disease progression. Although the pattern of abnormalities may suggest immune dysregulation, this is a descriptive observation; prospective longitudinal studies, which are in progress at our center, will be required. Long-term persistence of CSF abnormalities despite tumor resection, multiagent cancer chemotherapy, or prior treatment with conventional immunotherapies emphasizes the need for more effective therapies in OMS. The absence of a detectable tumor had little impact on the immunologic abnormalities in CSF, which, taken together with neuroblastoma’s high incidence of spontaneous regression,28 emphasizes the need for very careful tumor screening. However, some of our patients, even a substantial percentage, may not have had a tumor.

Our data suggest that one component of OMS may be B-cell mediated. The intrathecal expansion or increase in relative size of the B-cell pool is clinically important because B-cells usually are negligible in normal CSF and the high percentage of CSF B-cells in severe OMS indicates pronounced recruitment to the CNS. B-Cell expansion implies potential for autoantibody production, as B-cells are capable of synthesizing antibodies even if they are not plasma cells, and autoantibodies have been found in some children with OMS.6,12,13⇓⇓ However, autoreactive B-cells also may contribute to autoimmune disease merely by enhancing antigen presentation to T-cells. Studies of various inflammatory CNS disorders have revealed that CSF B-cells may be a particularly reactive population compared with peripheral blood,29 preferentially compartmentalized to the CSF and lacking systemic feedback control.30 The next step will be to determine if CSF B-cells in OMS are highly activated and lead to a humoral response that is pathogenic.

The γδ T-cell is regarded as an “unconventional” T-cell, one with a unique role in immunologic disease. Also called “fetal-type lymphocytes,” γδ T-cells are the first T-cells to develop and a possible third arm of immune response.31 Because they possess inherent autoreactivity, γδ T-cells may recognize antigens directly in tissues rather than relying on the professional antigen-presenting cells for antigen recognition required of conventional T-cells.31

CSF expansion of γδ T-cells is abnormal; the TCR of most CSF T-cells in normal individuals expresses α- and β-chains, rather than γ- and δ-chains.32 However, our data do not allow us to determine if the expansion in OMS is primary or secondary or whether it is deleterious or helpful. The γδ T-cells could be involved in the primary immune response against the tumor,33 triggering a cascade of immunologic events that lead to inflammation once they have entered the brain. Alternatively, they may be drawn only secondarily to CNS inflammation already involving other T-cells and B-cells.34 In contrast, γδ T-cells could fulfill an anti-inflammatory role in OMS by down-regulating autoimmune disease,35 because they normally do not function as helper cells35 and they suppress B-cell expansion in vivo.31 Whatever role γδ T-cells do have in OMS, it is likely to be important.

The principal abnormalities involving “conventional” T-cells in OMS were increased T-cell activation, greatly reduced helper/inducer T-cells, and slightly increased suppressor/cytotoxic T-cells. T-Cell activation, an important factor in the development of autoimmune disease, is required for optimal antigen presentation by B-cells to T-cells. An increased percentage of activated T-cells in the CSF is evidence of significant T-cell recruitment in OMS.

In a study of three adults with paraneoplastic cerebellar degeneration (PCD), 20 to 40% of CSF cells were activated conventional T-cells,36 which is above the normal range24 and similar to what we found in OMS. A specific inhibitor of activated T-cells markedly reduced these cells in CSF.36 In PCD, antigen-specific cytotoxic T-cells also have been found in peripheral blood.37,38⇓ Although PCD and OMS are different disorders clinically, increased T-cell activation is a feature of both, and there may be other shared immunologic traits as well.

The explanation for the reduced percentage of CSF helper/inducer T-cells we found in OMS is unclear. Although circulating blood helper T-cells and the helper/suppressor T-cell ratio are reduced in epilepsy39 and a subset of autism,40 we are not aware of CSF helper T-cell reduction in other neurologic disorders. Because of the importance of helper T-cell subsets in autoimmune diseases, the next stage will be to evaluate Th1- and Th2-helper T-cell subsets in OMS.

We propose that CSF B-cell and T-cell abnormalities be factored into the design and monitoring of immunotherapy for OMS. We realize it is hazardous to draw conclusions about functional properties of immune cells from their phenotypic markers alone. However, given the cytotoxic capacity of these cells, their potential role in the pathophysiology of pediatric OMS warrants serious attention. Our study shows that some children who manifest neurologic abnormalities years after presentation appear to have an active autoimmune process and are potentially salvageable. CSF lymphocyte immunophenotyping allows this subgroup to be identified for further treatment.

Acknowledgments

Supported by grants to M.R.P. from the American Medical Association Research and Education Foundation, the Children’s Miracle Network, and the Southern Illinois University School of Medicine.

The authors thank the children and families for participating in the research. They also thank Janet Butler and Sarah Kirsch for typing the manuscript, Janice Vines and Susan Ball for scheduling patient clinic visits and procedures, and the St. John’s Hospital and Memorial Medical Center Anesthesia Departments for providing anesthesia for lumbar punctures.

Footnotes

  • Additional material related to this article can be found on the Neurology Web site. Go to www.neurology.org and scroll down the Table of Contents for the May 11 issue to find the title link for this article.

  • See also page 1466

  • Presented at the 31st Annual Meeting of the Child Neurology Society, October 10 to 11, 2002, Washington, DC.

  • Received September 14, 2003.
  • Accepted in final form March 2, 2004.

References

  1. ↵
    Kinsbourne M. Myoclonic encephalopathy of infants. J Neurol Neurosurg Psychiatry. 1962; 25: 271–276.
    OpenUrlFREE Full Text
  2. ↵
    Pranzatelli MR, Tate ED, Wheeler A, et al. Screening for autoantibodies in children with opsoclonus–myoclonus–ataxia. Pediatr Neurol. 2002; 27: 384–387.
    OpenUrlCrossRefPubMed
  3. ↵
    Hayward K, Jeremy RJ, Jenkins S, et al. Long-term neurobehavioral outcomes in children with neuroblastoma and opsoclonus–myoclonus–ataxia syndrome: relationship to MRI findings and anti-neuronal antibodies. J Pediatr. 2001; 139: 552–559.
    OpenUrlCrossRefPubMed
  4. ↵
    Pohl KRE, Pritchard J, Wilson J. Neurological sequelae of the dancing eye syndrome. Eur J Pediatr. 1996; 155: 237–244.
    OpenUrlCrossRefPubMed
  5. ↵
    Pranzatelli MR. The neurobiology of opsoclonus–myoclonus. Clin Neuropharmacol. 1992; 15: 186–228.
    OpenUrlCrossRefPubMed
  6. ↵
    Bataller L, Rosenfeld MR, Graus F, Vilchez JJ, Cheung N-KV, Dalmau J. Autoantigen diversity in the opsoclonus–myoclonus syndrome. Ann Neurol. 2003; 53: 347–353.
    OpenUrlCrossRefPubMed
  7. ↵
    Pranzatelli MR, Tate ED, Kinsbourne M, Caviness VD Jr, Mishra B. Forty-one year follow-up of childhood-onset opsoclonus–myoclonus–ataxia: cerebellar atrophy, multiphasic relapses, and response to IVIG. Mov Disord. 2002; 17: 1387–1390.
    OpenUrlCrossRefPubMed
  8. ↵
    Solomon GE, Chutorian AM. Opsoclonus and occult neuroblastoma. N Engl J Med. 1968; 279: 475–477.
    OpenUrlPubMed
  9. ↵
    Kuban KC, Ephros MA, Freeman RL, et al. Syndrome of opsoclonus–myoclonus caused by Coxsackie B3 infection. Ann Neurol. 1983; 13: 69–71.
    OpenUrlCrossRefPubMed
  10. ↵
    McMinn P, Stratov I, Nagarajan L, Davis S. Neurological manifestations of enterovirus 71 infection in children during an outbreak of hand, foot, and mouth disease in Western Australia. Clin Infect Dis. 2001; 32: 236–242.
    OpenUrlCrossRefPubMed
  11. ↵
    Boltshauser E, Deonna T, Hirt HR. Myoclonic encephalopathy of infants or “dancing eyes syndrome.” Helv Paediatr Acta. 1979; 34: 119–133.
    OpenUrlPubMed
  12. ↵
    Connolly AM, Pestronk A, Shobhna M, Pranzatelli MR, Noetzel MJ. Serum autoantibodies in childhood opsoclonus–myoclonus syndrome: an analysis of antigenic targets in neural tissues. J Pediatr. 1997; 130: 878–884.
    OpenUrlCrossRefPubMed
  13. ↵
    Antunes NL, Khakoo Y, Mattay KK, et al. Antineuronal antibodies in patients with neuroblastoma and paraneoplastic opsoclonus–myoclonus. J Pediatr Hematol Oncol. 2000; 22: 315–320.
    OpenUrlCrossRefPubMed
  14. ↵
    Pranzatelli MR. The immunopharmacology of the opsoclonus–myoclonus syndrome. Clin Neuropharmacol. 1996; 19: 1–47.
    OpenUrlPubMed
  15. ↵
    Hickey WF. Leukocyte traffic in the central nervous system: the participants and their roles. Semin Immunol. 1999; 11: 125–137.
    OpenUrlCrossRefPubMed
  16. ↵
    Perrella O, Soscia M, Iaccarino C, Carrieri PB. Cerebrospinal fluid T-cell receptor gamma/delta T lymphocyte subsets in patient with AIDS–dementia complex. J Biol Reg Horm Agents. 1992; 6: 53–56.
    OpenUrl
  17. ↵
    Nick S, Pileri P, Tongiani S, Uematsu Y, Kappos L, De Libero G. T-cell receptor γδ repertoire is skewed in cerebrospinal fluid of multiple sclerosis patients: molecular and functional analyses of antigen-reactive γδ clones. Eur J Immunol. 1995; 25: 355–363.
    OpenUrlCrossRefPubMed
  18. ↵
    Bieganowski P, Bieganowski K, Zaborski J, Czlonkowska A. Oligoclonal expansion of gamma delta T-cells in cerebrospinal fluid of multiple sclerosis patients. Mult Scler. 1996; 2: 78–82.
    OpenUrlCrossRefPubMed
  19. ↵
    Dieli F, Sireci G, Di Sano C, et al. Predominance of Vgamma 9/V delta 2 T lymphocytes in the cerebrospinal fluid of children with tuberculosis meningitis: reversal after chemotherapy. Mol Med. 1999; 5: 301–312.
    OpenUrlPubMed
  20. ↵
    Matsubara T, Matsuoka T, Katayama K, et al. Mononuclear cells and cytokines in the cerebrospinal fluid of echovirus 30 meningitis patients. Scand J Infect Dis. 2000; 32: 471–474.
    OpenUrlPubMed
  21. ↵
    Thomas RS, Beuche W, Felgenhauer K. The proliferation rate of T and B lymphocytes in cerebrospinal fluid. J Neurol. 1991; 238: 27–30.
    OpenUrlPubMed
  22. ↵
    Baumgarth N, Roederer M. A practical approach to multicolor flow cytometry for immunophenotyping. J Immunol Methods. 2000; 243: 77–97.
    OpenUrlCrossRefPubMed
  23. ↵
    Pranzatelli MR, Tate ED, Galvan I, Wheeler A. A controlled pilot study of piracetam for pediatric opsoclonus–myoclonus. Clin Neuropharmacol. 2001; 24: 352–357.
    OpenUrlCrossRefPubMed
  24. ↵
    Svenningsson A, Anderson O, Edsbagge M, Stemme S. Lymphocyte phenotype and subset distribution in normal cerebrospinal fluid. J Neuroimmunol. 1995; 63: 39–46.
    OpenUrlCrossRefPubMed
  25. ↵
    SAS Institute Inc. SAS/STAT user’s guide, version 8.2, Cary, NC: SAS Institute, 2002.
  26. ↵
    Comans–Bitter WM, De Goot R, Van den Beemd R, et al. Immunophenotyping of blood lymphocytes in childhood. Reference values for lymphocyte subpopulations. J Pediatr. 1997; 130: 388–393.
    OpenUrlCrossRefPubMed
  27. ↵
    Cooper R, Khakoo Y, Matthay KK, et al. Opsoclonus–myoclonus–ataxia syndrome in neuroblastoma: histopathologic features—a report from the Children’s Cancer Group. Med Pediatr Oncol. 2001; 36: 623–629.
    OpenUrlCrossRefPubMed
  28. ↵
    Nishihara H, Toyoda Y, Tanaka Y, et al. Natural course of neuroblastoma detected by mass screening: a 5-year prospective study at a single institution. J Clin Oncol. 2002; 18: 3012–3017.
    OpenUrl
  29. ↵
    Levinson AI, Sandberg–Wollheim M, Lisak RP, et al. Analysis of B-cell activation of cerebrospinal fluid lymphocytes in multiple sclerosis. Neurology. 1983; 33: 1305–1310.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Baig S, Olsson T, Link H. Predominance of Borrelia burgdorferi: specific B cells in cerebrospinal fluid in neuroborreliosis. Lancet. 1989; 2: 71–74.
    OpenUrlPubMed
  31. ↵
    Hayday AC. γδ cells: a right time and right place for a conserved third way of protection. Annu Rev Immunol. 2000; 18: 975–1026.
    OpenUrlCrossRefPubMed
  32. ↵
    Hafler DA, Fox DA, Manning ME, Schlossman SF, Reinherz EL, Weiner HL. In vivo activated T lymphocytes in the peripheral blood and cerebrospinal fluid of patients with multiple sclerosis. N Engl J Med. 1985; 312: 1405–1411.
    OpenUrlCrossRefPubMed
  33. ↵
    Girardi M, Oppenheim DE, Steele CR, et al. Regulation of cutaneous malignancy by γδ T-cells. Science. 2001; 294: 605–609.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Born W, Cady C, Jones–Carson J, Mukasa A, Lahn M, O’Brien R. Immunoregulatory functions of γδ T-cells. Adv Immunol. 1999; 71: 77–144.
    OpenUrlPubMed
  35. ↵
    Haas W. Gamma/delta cells. Annu Rev Immunol. 1993; 11: 637–685.
    OpenUrlCrossRefPubMed
  36. ↵
    Albert ML, Austin LM, Darnell RB. Detection and treatment of activated T cells in the cerebrospinal fluid of patients with paraneoplastic cerebellar degeneration. Ann Neurol. 2000; 47: 9–17.
    OpenUrlCrossRefPubMed
  37. ↵
    Albert ML, Darnell JC, Bender A, Francisco LM, Bhardwaj N, Darnell RB. Tumor-specific killer cells in paraneoplastic cerebellar degeneration. Nat Med. 1998; 4: 1321–1324.
    OpenUrlCrossRefPubMed
  38. ↵
    Tanaka M, Tanaka K, Tokiguchi S, Shinozawa K, Tsuji S. Cytotoxic T cells against a peptide of Yo protein in patients with paraneoplastic cerebellar degeneration and anti-Yo antibody. J Neurol Sci. 1999; 168: 28–31.
    OpenUrlCrossRefPubMed
  39. ↵
    Eeg–Olofsson O, Prchal JF, Andermann F. Abnormalities of T-lymphocyte subsets in epileptic patients. Acta Neurol Scand. 1985; 72: 140–144.
    OpenUrlPubMed
  40. ↵
    Gupta S, Aggarwal S, Heods C. Dysregulated immune system in children with autism: beneficial effects of intravenous immune globulin on autistic characteristics. J Auton Dev Dis. 1996; 26: 439–452.
    OpenUrl

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