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Scientific Reports logoLink to Scientific Reports
. 2016 Feb 11;6:20963. doi: 10.1038/srep20963

Circulating memory T follicular helper subsets, Tfh2 and Tfh17, participate in the pathogenesis of Guillain-Barré syndrome

Yuanyuan Che 1, Jinpeng Qiu 1, Tao Jin 1, Fei Yin 4, Man Li 1, Yanfang Jiang 1,2,3,a
PMCID: PMC4750093  PMID: 26865046

Abstract

Circulating memory T follicular helper subsets, Tfh2 and Tfh17 are found to be aberrantly regulated in many autoimmune diseases. However, their roles in the pathogenesis of GBS are still unclear. This study examined the phenotype, distribution, clinical relevance and potential function of Tfh2 and Tfh17 in 36 GBS patients (including 24 AMAN and 12 AIDP patients). We found that the absolute counts of total memory Tfh cells were significantly increased in AMAN, while no significant difference in AIDP compared with HC. Furthermore, the levels of the three subsets of memory Tfh cells, Tfh1, Tfh2 and Tfh17, were differentially altered in AMAN. The absolute counts of Tfh1, Tfh2 and Tfh17 were all increased to a higher level in AMAN. The ratio of (Tfh2+Tfh17)/Tfh1 and the percentages of ICOS+ cells in Tfh2 and Tfh17 cells were greater in AMAN when compared to AIDP and HC, and the former had a positive correlation with the severity of both AMAN and AIDP. Conversely, the percentages of PD1+ cells in Tfh2 and Tfh17 cells were lower in AMAN than in HC. Therefore, circulating memory Tfh2 and Tfh17 cells might promote the autoantibody-related immune response and serve as useful markers to evaluate the progression of AMAN.


Guillain-Barré syndrome (GBS), including its various subgroups, is an acute autoimmune mediated inflammatory demyelinating disease that affects the peripheral nervous system (PNS). Though pathological changes in GBS are known to include segmental demyelination of peripheral nerves associated with infiltration of T lymphocytes and macrophages1, considerable knowledge gaps persist regarding the precise immunopathogenesis of nerve damage. It has been hypothesized that autoreactive CD4+T helper-cell-mediated immune damage in parallel with increased cytokine expression contributes to the inflammatory process of GBS, and in the animal model, for experimental autoimmune neuritis (EAN)2,3,4,5,6,7,8. Recent studies have implicated aberrant humoral immunity as also being involved in the pathogenesis of GBS, including anti-ganglioside antibody production in cerebrospinal fluid (CSF)9; and its pivotal role in motor nerve terminal injury in a mouse model10.

Evidence in favor of involvement of humoral immunity in the pathogenesis of GBS include studies that have reported deposition of immunoglobulin G and complement activation products on the axolemma of motor fibers11; and the presence of myelin specific plasmablasts and B cell expansion in spontaneous autoimmune polyneuropathy (SAP), an animal model of GBS, and depletion of these cells in response to anti-CD19 monoclonal antibody (mAb) treatment, leading to attenuation of disease severity12.

The current report highlights the differences in the clinical characteristic and pathogenesis of two distinct forms of GBS, namely acute inflammatory demyelinating polyradiculoneuropathy (AIDP) and acute motor axonal neuropathy (AMAN). The former is characterized by mutiple segmental demyelinative foci throughout the PNS, the latter displays primary axonal degeneration particularly accentuated at the spinal nerve roots. The key etiologic factor of AIDP may be the T cell-mediated autoimmunity against myelin antigens on the Schwann cell membrane, and that in AMAN may be an autoantibody-mediated attack on the axolemma at the Ranvier nodes13.

Most of the mild cases of GBS respond to conventional treatment with high-dose intravenous immunoglobulin (IVIg). However, a subset of patients with severe disease tends to respond poorly to IVIg therapy, and experience a rapid progression of respiratory muscle paralysis and even death. Moreover, ganglioside-associated GBS, which mainly involves axonal injury, is known to be associated with severe manifestations and poorer short-term prognosis14. Therefore, a thorough comprehension of the immunological pathogenesis, especially T-B cell interaction in GBS, will be helpful for developing more effective GBS immunotherapies.

Human peripheral blood CD4+CXCR5+CD45RAT cells, are known as “circulating memory” follicular helper CD4+T (Tfh) cells15,16. As reported, human circulating memory Tfh cells share phenotypic and functional properties with Tfh cells residing in germinal center (GC Tfh cells), such as enhanced expression of CXC-chemokine receptor 5 (CXCR5), stimulation of B-cell maturation, terminal differentiation of B cells into antibody-producing plasma cells, and isotype switching15,16. The specialized molecular markers of memory Tfh cells include inducible T-cell co-stimulator (ICOS), programmed death-1 (PD-1), CD40 ligand (CD40L), transcription factor B cell lymphoma 6 (Bcl-6), SAP (signaling lymphocytic activation molecule associated protein) and interleukin-21 (IL-21)17.

The circulating human memory Tfh cells have hitherto been divided into three subsets: Tfh1 (CXCR3+CCR6), Tfh2 (CXCR3CCR6) and Tfh17 (CXCR3CCR6+)16. Previous reports have suggested that a skewed distribution of circulating memory Tfh cell subsets contributes to the pathogenesis of some autoimmune diseases such as primary sjögren’s syndrome, wherein there are higher levels of Tfh1718; and juvenile dermatomyositis, where there are higher levels of Tfh2 and Tfh1716. Co-culture experiments have demonstrated that Tfh2 and Tfh17, but not Tfh1, could efficiently induce naive B cells to produce immunoglobulins via secretion of interleukin-21 (IL-21)16. In a recent study, circulating memory Tfh cells were reported as playing a crucial role in the immunopathogenesis of certain neurologic autoimmune diseases such as multiple sclerosis19 and myasthenia gravis20, in which the role of humoral immunity is generally recognized. However, little is known about the distribution and function of circulating memory Tfh cell subsets in GBS patients.

In the present study, the frequency and the phenotypic characterization of circulating memory Tfh cells was assessed to examine their role in the immunopathogenesis of GBS.

Materials and Methods:

Patients

Thirty six newly diagnosed cases of GBS who fulfilled the international diagnostic criteria for this disease21 were enrolled in the study. Disease severity was evaluated using the Hughes Functional Grading Scale (HFGS) score, and the Medical Research Council (MRC) sum score. The former is a widely recognized scoring system for assessing the functional status of GBS patients22, and the latter is used for evaluation of the neurologic function of six bilateral muscles in the arms and legs23. Eighteen age- and sex-matched healthy individuals served as controls in this study. Patients with any other underlying immune-mediated disorder or chronic inflammatory demyelinating polyradiculoneuropathy were excluded from the study. Routine CSF examination and electromyography were performed within 2 weeks of onset of symptoms. Venous blood was sampled during the acute phase (1–14 days after onset) of GBS. After treatment with IVIg, single dose of 0.4g/kg body weight per day for 5 consecutive days, blood samples of the 7 patients with more serious clinical signs (HFGSs ≥4) were also collected during the plateau phases (15–32 days after onset). CSF and serum samples from cases were collected and stored at −80 °C for further analysis. Written informed consent was obtained from all study subjects. Ethical approval of the study protocol was obtained from the Ethics Committee of the First Hospital of Jilin University. All procedures were carried out in accordance with the approved guidelines. All experimental protocols were approved by the above authority.

Cell isolation and flow cytometry

Peripheral blood mononuclear cells (PBMCs) were isolated by density-gradient centrifugation using Ficoll-Paque Plus (Amersham Biosciences, Buckinghamshire, UK). The cells were then resuspended to 1 × 106 per mL in RPMI-1640 culture medium (Invitrogen, Carlsbad, CA, USA) containing 10% fetal calf serum, and stained with the following monoclonal antibodies: antihuman CD3-BV510, antihuman CD4-APC-H7, antihuman CXCR5-PerCP-Cy5.5, antihuman CXCR3-PE-Cy7, antihuman CCR6-PE, antihuman CD45RA-PE-CF594, antihuman ICOS-BV421, antihuman PD1-FITC, antihuman CD27-PE, antihuman CD20-APC-H7, antihuman CD38-PerCP-Cy5.5, antihuman CD19-PE-cy7 or isotype-matched control IgG (BD PharMingen San Diego, CA, U.S.). After washing twice with phosphate-buffered saline (containing 0.1% (w/v) NaN3), the samples were analyzed using FACS Aria II (BD Sciences, San Jose, USA); at least 50,000 events per sample were analyzed using FlowJo software (v7.6.2). The absolute count of cells was calculated on the basis of the cell proportion multiplied by the absolute number of lymphocytes.

Cell sorting and Tfh/B co-culture

For sorting circulating memory Tfh subsets and B cells by flow cytometry, freshly isolated PBMC from GBS patients and healthy controls were stained with antihuman CD4-APC-H7, antihuman CXCR5-PerCP-Cy5.5, antihuman CXCR3-PE-Cy7, antihuman CCR6-PE, antihuman CD45RA-PE-CF594, and antihuman CD19-FITC. Sorted cells were divided into two parts, one containing a mixture of Tfh2 and Tfh17 (CD4+CXCR5+CD45RACXCR3) cells, and the other containing the B (CD19+) cells. Tfh2 and Tfh17 cells (3 × 105 cells per well) were co-cultured for 6 days with allogenic B cells (1 × 105 cells/well) in U-bottom 48-well plates containing complete RPMI 1640 medium (Lonza, Alendale, NJ, USA) supplemented with 10% heat-inactivated FBS. Parallel plates were tested in triplicate. Concentrations of IgG, IgA and IgM were measured in co-culture supernatants by Cytometric Bead Array, and phenotypic characterization of B cells performed by flow cytometry.

Cytometric Bead Arrays (CBA) of immunoglobulin levels

Co-culture supernatants were collected and stored at −80 °C until further testing. The concentrations of IgG, IgA and IgM were measured by CBA Human Immunoglobulin Master Buffer Kit (BD Biosciences San Jose, CA, US), as per the procedure recommended by the manufacturer.

Enzyme-linked immunosorbent assay for IL-21 levels

The levels of IL-21 were measured in serum, CSF and co-culture supernatants by ELISA (Multi Sciences Bio-Technology Co, Hangzhou, China) as per the manufacturer’s instructions. The detection limit for human IL-21 was 11.99 pg/mL.

Statistical analyses

Data are expressed as median (range) or as individual mean values. Inter-group differences were evaluated by F-test followed by the two-tailed Student’s, or paired t-test. A Wilcoxon signed-ranks test was performed for variables that did not exhibit Gaussian distribution. Pearson correlation coefficient was determined for evaluating the observed correlations. A two-side P value of <0.05 was considered statistically significant.

Results

A total of 36 cases of GBS were enrolled in the study, out of which 24 and 12 patients were diagnosed with AMAN and AIDP, respectively. None of the patients had received immunosuppressive or immunomodulatory drugs in the preceding three months. Baseline characteristics of patients and controls are summarised in Table 1; clinical characteristics and laboratory data of GBS patients are summarized in Tables 2, 3 and 4.

Table 1. Baseline characteristics of patients with Guillain-Barré syndrome (GBS) and Healthy controls (HC).

Parameters GBS HC P-value
Number 36 18 NS
Age, years (range) 46.03 (19–78) 47.08 (27–59) NS
Gender (F/M) 12/24 7/11 NS
WBC (×109/L) 7.6 (4.3–12.8) 6.5 (4.1–8.9) NS
Lymphocytes (×109/L) 1.94 (1.41–2.74) 1.67 (1.18–2.12) NS
WBC in CSF (×106/L) 7 (2–11) 5 (0–8) NS
CSF Immunoglobins (mg/L) 157.5 (35.4–425) 22 (0–34) <0.01
CSF protein level (g/L) 1.1 (2.88–0.35) 0.35 (0–0.46) <0.01

WBC,White blood cells; CSF, cerebrospinal fluid.Reference values: WBC (3.5–9.5) × 109/L; Lymphocytes (1.1–3.2) × 109/L; WBC in CSF: (0–8)  × 106/L; Immunoglobin in CSF (0–34) mg/L; Protein in CSF (0.15–0.45) g/L.

Table 2. Clinical characteristics of GBS patients.

No. Sex Age (years) Previous infections Electrophysiological findings HFGSs at nadir MRC sum score at nadir
1 Male 42 GI AMAN 1 27
2 Female 50 GI AMAN 3 40
3 Male 57 None AIDP 3 48
4 Male 27 GI AMAN 2 22
5 Female 26 URTI AMAN 3 39
6 Male 63 URTI AMAN 4 53
7 Male 19 GI AMAN 5 12
8 Male 74 None AMAN 4 8
9 Male 23 None AIDP 3 28
10 Male 78 URTI AIDP 1 50
11 Male 48 None AMAN 2 16
12 Male 28 URTI AMAN 2 50
13 Female 29 None AMAN 4 32
14 Male 46 GI AMAN 3 14
15 Male 52 URTI/GI AMAN 2 6
16 Male 41 GI AIDP 1 25
17 Male 42 URTI AMAN 3 42
18 Male 60 None AMAN 3 52
19 Female 29 URTI AIDP 2 44
20 Female 53 GI AMAN 1 33
21 Male 34 URTI AIDP 2 35
22 Female 49 URTI/GI AMAN 3 20
23 Female 28 None AIDP 2 49
24 Male 24 URTI AMAN 3 39
25 Female 41 URTI/GI AMAN 3 55
26 Female 32 GI AMAN 2 43
27 Female 46 URTI AIDP 2 30
28 Female 60 None AIDP 1 47
29 Male 54 None AIDP 1 38
30 Male 36 None AMAN 5 41
31 Male 39 None AIDP 3 51
32 Male 61 None AMAN 4 4
33 Male 61 URTI/GI AMAN 1 14
34 Female 65 None AMAN 1 46
35 Female 64 URTI AMAN 4 41
36 Female 76 URTI AIDP 1 18

HFGSs, Hughes Functional Grading Scale score; MRC sum score, Medical Research Council sum score; GI, gastrointestinal infections; URTI, upper respiratory tract infections; AIDP, acute inflammatory demyelinating polyradiculoneuropathy; AMAN, acute motor axonal neuropathy.

Table 3. Laboratory data of GBS patients.

No. HFGSs at nadir MRC sum score at nadir Memory B (×106 cells/L) Plasmablast (×106 cells/L) Tfh1 (×106 cells/L) Tfh2 (×106 cells/L) Tfh17 (×106 cells/L) Ratio of (Tfh2+Tfh17/Tfh1) Serum IL-21 (pg/mL) CSF Ig (mg/L) CSF protein (g/L)
1 1 27 25.74 2.53 2.36 2.18 4.05 2.6398305 83.44 54 0.8
2 3 40 39.41 1.4 2.65 4.72 4.84 3.6075472 52.52 76 0.9
3 3 48 13.02 1 2.32 1.88 3.07 2.1336207 97.21 123 1.39
4 2 22 81.82 2.41 2.66 2.57 3.27 2.1954887 56.02 118 0.57
5 3 39 33.54 0.96 2.25 2.39 3.04 2.4133333 49.85 41.2 2.1
6 4 53 17.47 3.95 1.56 5.81 3.15 5.7435897 164.33 92 2.28
7 5 12 135.82 3.23 2.06 6.95 10.05 8.2524272 154.60 373 0.35
8 4 8 52 0.97 1.84 6.13 6.4 6.8097826 162.76 179 1.79
9 3 28 12.61 2.72 1.57 3.61 2.71 4.0254777 62.10 406 1.3
10 1 50 39.2 0.54 3.25 3.01 4.3 2.2492308 70.09 50 0.6
11 2 16 17.5 1.6 2.41 1 9.84 4.4979253 100.07 34.9 1.16
12 2 50 9.75 0.58 2.33 5.55 1 2.8111588 90.74 87 1.3
13 4 32 98 1.43 0.91 2 2 4.3956044 89.11 47 1.4
14 3 14 11 0.8 0.89 1.65 2 4.1011236 101.55 76.8 1.4
15 2 6 13 2.17 1.79 7 2.29 5.1899441 78.03 352 0.43
16 1 25 132.45 1.34 0.75 1.97 0.7 3.56 65.02 78 1.07
17 3 42 38 2.5 3.03 3.99 5.79 3.2277228 58.95 55 0.81
18 3 52 72 0.4 1.92 3.07 4.01 3.6875 96.30 201 2.2
19 2 44 23.45 2.54 1.82 5.26 2.83 4.4450549 88.11 35.4 0.58
20 1 33 34.11 3.07 2.2 2.51 5.22 3.5136364 74.34 425 0.46
21 2 35 19.58 1.41 1.51 3.1 0.89 2.6423841 66.01 66 0.46
22 3 20 89 0.77 4.94 4.17 9.17 2.7004049 58.10 101 0.34
23 2 49 17.61 1.15 2.12 2.26 2.35 2.1745283 89.03 140 0.9
24 3 39 105.57 0.84 4.56 5 12 3.7280702 80.75 344 1.21
25 3 55 42.8 4 3.82 3.8 6.35 2.6570681 58.21 263 0.84
26 2 43 30 0.52 2.59 5.21 4.9 3.9034749 54.60 152 1.1
27 2 30 101 2.24 1.61 0.74 6 4.1863354 75.04 178 0.88
28 1 47 59 0.89 1.81 1.61 2 1.9944751 61.11 133 0.7
29 1 38 62.07 1.07 2.63 0.85 3.3 1.5779468 55.07 40.4 0.74
30 5 41 217.18 3.59 1.08 2.53 5.67 7.5925926 49.85 335 2.88
31 3 51 21.4 0.97 3.01 1.93 3.75 1.8870432 80.02 169 1.1
32 4 4 29.4 3.1 1.22 3 8 9.0163934 192.22 363 2.46
33 1 14 12.47 2.05 1.98 1.91 2.98 2.469697 31.11 109 0.46
34 1 46 25.8 1.3 2.1 2.46 7.6 4.7904762 63.54 67 0.68
35 4 41 80.9 1.25 2.2 1.25 2.32 1.6227273 50.01 35.4 0.35
36 1 18 13 3.44 0.49 1.32 1.56 5.877551 107.07 269 2.01

Table 4. Comparison of clinical features between AMAN and AIDP patients.

Variables AMAN AIDP P-value
HFGS score at nadir 2.8 (1–5) 1.8 (1–3) 0.018
HFGS score at discharge 2.5 (0–4) 1.3 (1–2) 0.013
MRC sum score at nadir 31.2 (4–55) 38.6 (18–51) 0.28
MRC sum score at discharge 34.7 (4–55) 46.5 (20–53) 0.039
Ventilation ratio (5/24) 20.8% (1/12) 8.3% 0.34
Electrophysiological findings Axonal damage Demyelination NS
Protein level in CSF (g/L) 1.18 (0.35–2.88) 0.98 (0.46–2.01) 0.71
Immunoglobulin in CSF (mg/L) 165.9 (35.4–425) 140.7 (35.4–406) 0.78

HFGS, Hughes Functional Grading Scale; MRC sum, Medical Research Council.

High absolute counts and skewed distribution of circulating memory Tfh cell subsets in AMAN patients

As shown in the representative flow cytometry dot plots (Fig. 1a), the frequency of circulating memory Tfh cells in AMAN group was significantly higher than that in the HC and AIDP groups (Fig. 1b). As to the three subsets, the counts of Tfh1, Tfh2 and Tfh17 cells were all raised to a higher level in the AMAN group, but only the percentages of Tfh2 and Tfh17 cells were higher in AMAN group, when compared with AIDP and HC groups (Fig. 1c–e). The ratio of (Tfh2+Tfh17)/Tfh1 was used to display skewed trend of the distribution of the three subsets. As expected, the ratio of (Tfh2+Tfh17)/Tfh1 was found raised in AMAN, but not in AIDP group (Fig. 1f). Collectively, these observations indicate a central role of Tfh2 and Tfh17 subsets in the pathogenesis of AMAN.

Figure 1. Altered expression of circulating memory Tfh cell subsets (Tfh1, Tfh2 and Tfh17) in Guillain-Barré syndrome (GBS) patients (with high frequency and skewed distribution).

Figure 1

(A) Fluorescence Activated Cell Sorting (FACS) analyses of circulating memory Tfh cells. Peripheral mononuclear cells (PBMCs) were stained with anti-CD3/4, anti-CD45RA/CXCR5 and anti-CXCR3/CCR6. The cells were gated initially on CD3+CD4+ T helper cells (top left). Subsequently, the frequency of circulating memory Tfh cells (CD45RA-CXCR5+) on Th (CD3+CD4+), and the Tfh1 (CXCR3+CCR6-), Tfh2 (CXCR3-CCR6-), or Tfh17 (CXCR3-CCR6+) subsets, respectively, on total Tfh were analyzed by flow cytometry. At least 30,000 events were analyzed for each sample. Data are representative of different groups of samples from at least two independent experiments. (BF) Circulating memory Tfh cell subsets from GBS patients (N = 36), including subgroups of acute inflammatory demyelinating polyradiculoneuropathy patients (AIDP, N = 12) and acute motor axonal neuropathy patients (AMAN, N = 24); and healthy controls (HC, N = 18) were analyzed by flow cytometry ex vivo. Data are expressed as absolute number of total Tfh cells and the three subsets in whole blood, and expressed as cells/L of individual samples from at least two separate experiments; then compared with the ratio of (Tfh2+Tfh17)/Tfh1. Data analysis using the Mann Whitney test. The horizontal lines represent the median values.

Higher (Tfh2+Tfh17)/Tfh1 ratio in severe disease

Previous studies have demonstrated that the two Tfh subsets, Tfh2 and Tfh17 secrete IL-2116, which is known to play a crucial role in the expansion and plasma cell differentiation of co-cultured B cells24. As is already known, the abnormal distribution of the circulating memory Tfh cell subsets had a robust association with the pathogenesis of several autoimmune diseases that manifested abnormal humoral immune system16,18,25. However, there is paucity of similar evidence in the case of GBS. In our study, a positive correlation was observed between the levels of Tfh2 and Tfh17 subsets, and the severity of clinicopathological features of GBS. The ratio of (Tfh2+Tfh17)/Tfh1 showed a positive correlation with the HFGS score, and a negative correlation with the MRC sum score (Fig. 2a,b). There was also a positive correlation between the ratio of (Tfh2+Tfh17)/Tfh1 and the concentration of CSF total protein and CSF immunoglobin levels (Fig. 2c,d); Consistent with earlier studies16, the higher counts of Tfh2 and Tfh17 subsets showed a positive correlation with the serum IL-21 levels (Fig. 2e).

Figure 2. Correlation of clinicopathological features of GBS with the (Tfh2+Tfh17)/ Tfh1 ratio.

Figure 2

(A) Positive correlation of Hughes Functional Grading Scale score (HFGSs) at nadir with (Tfh2+Tfh17)/Tfh1 ratio. (B) Negative correlation of the Medical Research Council sum score (MRC sum score) at nadir with the (Tfh2+Tfh17)/Tfh1 ratio. (C,D) Positive correlation of CSF protein and immunoglobin levels with (Tfh2+Tfh17)/Tfh1 ratio. (E) Positive correlation of serum IL-21 concentration with (Tfh2+Tfh17)/Tfh1 ratio.

Correlation of (Tfh2+Tfh17)/Tfh1 ratio with absolute plasmablasts count

Considering the high proportion of Tfh2 and Tfh17 subsets in AMAN, we predicted a role of aberrant humoral immunity in the pathogenesis of AMAN. We determined the absolute peripheral blood count of total memory B cells (CD3CD19+CD27+) and plasmablasts (CD3CD19+CD27+CD38highCD20) in AMAN, AIDP and HC (Fig. 3a), and found that the absolute count of total memory B cells in patients with AMAN and AIDP were higher than that in the HC (Fig. 3b); while the absolute count of plasmablasts was raised only in the AMAN group (Fig. 3c). On correlation analysis, the ratio of (Tfh2+Tfh17)/Tfh1 did not significantly correlate with the absolute count of total memory B cells (Fig. 3d), but there was a positive statistical correlation with the absolute count of plasmablasts (Fig. 3e). These results indicate that Tfh2 and Tfh17 subsets may have a role in the pathogenesis of AMAN by assisting in terminal differentiation of B cells and yielding more antibody-producing cells.

Figure 3. Correlation of skewed distribution of circulating memory Tfh subsets with plasmablast alteration.

Figure 3

(A) PBMCs from GBS patients as well as HC were stained with anti-CD3, anti-CD19, anti-CD27, anti-CD20, and anti-38. The cells were gated initially on living lymphocytes followed by on CD3−CD19+ B cells (A, top left). The frequency of CD27+ memory B cells and CD27+CD20–CD38 plasmablasts were analyzed by flow cytometry. At least 30,000 events were analyzed per sample. Data are representatives of different groups of samples from at least two independent experiments. (B,C) Quantification of total memory B cells and plasmablasts in whole blood are shown as absolute numbers and expressed as cells/L of individual samples from at least two separate experiments. Findings of Mann Whitney test. The horizontal lines represent the median values. (D,E) Frequency of plasmablasts, but not total memory B cells, positively correlated with (Tfh2+Tfh17)/Tfh1 ratio.

Elevated ICOS+ cells in Tfh2 and Tfh17 cells, and the inverse in PD-1+ cells

For identifying the differential expression of general surface markers on the circulating memory Tfh cell subsets, and for exploring whether these changes affect the cellular function, we screened the expression of ICOS and PD-1 on circulating memory Tfh cell subsets in AMAN, AIDP and HC patients. ICOS is a well-known molecule that contributes in inducing the production of IL-21 by Tfh cells, and also significantly supports the synthesis of immunoglobulins15,26. Conversely, the main role of PD-1 in normal human physiology is to suppress autoimmunity by acting as a co-inhibitory immune checkpoint27. Thus, we postulate a role of the percentages of ICOS+ cells, PD-1+ cells and ICOS+PD-1+ cells in deciding the expression of circulating memory Tfh cell subsets in patients. As shown in Fig. 4b, the percentage of ICOS+ cells was raised in all the three Tfh subsets in the AMAN group. In particular, the percentage of ICOS+ cells in Tfh2 and Tfh17 subsets was significantly higher than that in the AIDP group. However, only the percentage of PD-1+ cells in Tfh2 and Tfh17 cells in the AMAN group was found to be statistically lower when compared with that in the HC group. Moreover, there was statistically significant difference between the percentages of PD-1+cells and ICOS+PD-1+ cells in Tfh1 and the percentages of ICOS+PD-1+ cells in Tfh2 among AMAN and HC groups. These findings indicate that Tfh2 and Tfh17 subsets are strongly activated in AMAN patients.

Figure 4. Differential distribution of ICOS+, PD-1+ and ICOS+PD-1+ cells in Tfh cell subsets (Tfh1, Tfh2, and Tfh17).

Figure 4

(A) Tfh cell subsets from GBS patients and HC were stained with anti-CD278 (ICOS), anti-CD279 (PD-1). The percentages of ICOS+ cells, PD-1+ cells and ICOS+ PD-1+cells were assessed by flow cytometry. At least 30,000 events were analyzed for each sample. Data are representatives of different groups of samples from at least two independent experiments. (B) The percentages of ICOS+ cells, PD-1+ cells and ICOS+PD-1+ cells among Tfh1, Tfh2, and Tfh17 cells were respectively analyzed by Mann Whitney test. The horizontal lines show the median values.

Correlation of Tfh2 and Tfh17 subset activation with autoantibody-related humoral immune response in AMAN

To explore the effect of Tfh2 and Tfh17 subsets on B cells terminal differentiation and isotype switching, we designed an in vitro co-culture system. Representative flow cytometry dot plots of the results obtained are shown in Fig. 5a. In order to exclude the effect of over active B cells on humoral immunity, two control groups were set up, which included HC derived Tfh2 and Tfh17 cells co-cultured with HC derived B cells, and HC derived Tfh2 and Tfh17 cells co-cultured with AMAN derived B cells. As expected, no statistical differences was observed between the two control groups (Fig. 5b–e). The case group included AMAN derived Tfh2 and Tfh17 cells co-cultured with HC derived B cells, and AMAN patient derived Tfh2 and Tfh17 co-cultured with HC derived B cells, with added 1μg/mL soluble rabbit antihuman-IL-21R-Fc (Peprotech, Rocky Hill, NJ). On comparison of the two case groups, we found that the blockade of IL-21 with soluble rabbit antihuman-IL-21R-Fc resulted in significantly suppressed co-cultured B cell differentiation and immunoglobin IgG and IgM production (Fig. 5c–e). Moreover, compared with HC, the percentages of viable B cells (CD3–CD4-) in the culture, and the percentage of plasmablasts (CD38+CD20-) within B cells at day 6, were all raised to a higher level in the case group (Fig. 5b,c), with a concomitant increase in concentration of IgM and IgG in co-culture supernatants (Fig. 5d,e). Collectively, these observations indicate that Tfh2 and Tfh17 subsets from AMAN patients displayed a higher efficiency to maintain B cell survival and promote their differentiation into antibody-secreting cells, and that the inducing effect was partly inhibited by blocking of IL21.

Figure 5. Circulating memory Tfh2 and Tfh17 subsets from AMAN patients induce allogenic normal B cells to differentiate into more Ig-producing plasmablasts.

Figure 5

(A) PBMCs from severe AMAN patients and HC were stained with anti-CD3, anti-CD4, anti-CXCR5, anti-CD45RA, anti-CXCR3 anti-CCR6 and anti-CD19. Sorted circulating memory Tfh subsets (Tfh2 and Tfh17) and B cells, and then co-cultured them for 6 days. Circulating memory Tfh2 and Tfh17 subsets from severe AMAN patients (case group) or healthy donor (control group) were cultured with allogenic B cells, collected total mixed cells at day 6 and analyzed by FACS. CD3-CD4- survival B cells and CD38+CD20- plasmablast populations are representative of different groups of samples from at least two independent experiments. (B,C) Comparison of the percentages of survival B cells in the cultures and the percentage of plasmablasts within B cells, at day 6 between case and control groups. (D,E) Comparison IgM and IgG concentrations in the cultures at day 6 between case and control groups. Data analysis by Mann Whitney test and expressed as Median ± SD. Statistical significance was indicated by P < 0.05.

Decreased circulating memory Tfh cells, but not plasmablasts after IVIg treatment

To understand the effect of IVIg treatment on modulation of the autoimmune state in severe AMAN, we determined the counts of the total circulating memory Tfh cells and their three subsets (Tfh1, Tfh2 and Tfh17), the ratio of (Tfh2+Tfh17)/Tfh1, the level of serum IL-21 in the seven patients who had severe disease (HFGSs ≥4). Furthermore, we also determined the absolute number of plasmablasts and the percentages of ICOS+ and PD-1+ cells in Tfh1, Tfh2 and Tfh17 subsets. We noted that after IVIg treatment, the frequency of total Tfh cells dropped (Fig. 6a), with a concomitant decline in the ratio of (Tfh2+Tfh17)/Tfh1 (Fig. 6e) and serum IL-21 levels (Fig. 6l). Among them Tfh17 decreased the most obviously, followed by Tfh1, while Tfh2 did not significantly decrease (Fig. 6b–d). However, as to the percentages of ICOS+ and PD-1+ cells in Tfh subsets after treatment, significantly decreased indicators only include ICOS+ cells in Tfh1 and ICOS+ and PD-1+ cells in Tfh2 (Fig. 6f,h,i). Moreover, the number of plasmablasts were similar in the same patient, before and after IVIg treatment (Fig. 6m). These results indicate the efficacy of IVIg treatment in effecting a reduction in the number of Tfh cells, but that the treatment was not capable of deactivating these cell subsets.

Figure 6. Treatment with high-dose IVIg modulates the frequency of total Tfh cells in severe AMAN patients, followed by the alteration of serum IL-21 and (Tfh2+Tfh17)/Tfh1 ratio.

Figure 6

A total of 7 severe AMAN patients were treated with high-dose IVIg for 1 week. (A–D) comparisons of the frequency of total Tfh cells and their three subsets (Tfh1, Tfh2 and Tfh17); (E) (Tfh2+Tfh17)/Tfh1 ratio; (FK) the percentages of ICOS+ cells and PD-1+ cells in Tfh subsets; (L) serum IL-21 concentration and (M) the frequency of plasmablasts between IVIg pre- and post treatment. Data analyzed by Paired t test.

Discussion

In the present study, phenotypic and functional characterization of circulating memory Tfh cells in 36 GBS patients (including AMAN (N = 24) and AIDP (N = 12) patients was performed by flow cytometry, cell-sorting and co-culture techniques. We found that almost all of the patients with severe HFGS score (≥4) belonged to the AMAN group. Similar to our results, Zhang, et al. also reported more severe clinical symptoms and poorer short-term prognosis in the antiganglioside antibody-associated GBS, which mainly presents with acute motor axonal injury14. Immunopathogenesis of GBS is thought to involve: (i) CD4+Th-cell-mediated response against myelin antigens, and, (ii) anti-ganglioside antibody and activated complement components induced axon damage1. It is speculated that T-B cell interactions which are known to induce excessive humoral immune response may be the fundamental aspect of immunopathogenesis in the severe cases.

Some studies reported that circulating Tfh cells shared phenotypic and functional properties with their GC counterparts16, and that they are probably derived from GC-Tfh cells28. The rapid increase in their memory subsets in peripheral circulation under auto-antigenic stimulation can potentially serve as biomarkers for monitoring active GC response in lesions29.

Although the exact molecular mechanism of circulating memory Tfh-B cell axis remains to be elucidated, various studies have indicated a pivotal role of Tfh cells in amplifying autoreactive B cells and promoting production of autoantibodies, which eventually leads to a cascade of pathological changes in certain autoimmune diseases16,19,20,29,30,31. Our findings indicate that the elevated counts of Tfh2 and Tfh17 cells were particularly related to more severe clinical symptoms, and that it showed a positive correlation with the levels of plasmablasts in GBS patients. In other words, Tfh2 and Tfh17 subsets promote the skewed expression of B cells towards antibody-producing cells, which leads to increased antibody-mediated humoral immune response.

To explore the potential relationship between the phenotypic characteristics and the functional properties of Tfh2 and Tfh17 subsets in AMAN patients, we detected the expression of general surface markers, such as ICOS and PD1. ICOS is known to facilitate the production of IL-21 by Tfh cells, and the synthesis of immunoglobulins15,26. Recent studies have documented higher expression of ICOS and ICOS-L mRNA in sural nerve biopsy specimens of GBS patients32. Conversely, in normal human physiology, the main role of PD1 is to suppress autoimmunity by acting as a co-inhibitory immune checkpoint expressed on the surface of various immunological cells27. Further, the PD1-PDL pathway is known to thwart self-reactive T cells and protect against autoimmune pathology within the CNS33,34. Others have suggested that T cells with deficient PD-1 signaling may be preferentially polarized towards effector T-cell differentiation35. Therefore, we hypothesize that the expression of ICOS and PD-1 may determine the immunological status (whether suppressed or activated) of circulating memory Tfh cells in GBS patients.

We also observed an increased percentage of ICOS+ cells and decreased percentage of PD-1+ cells in Tfh2 and Tfh17 subsets in AMAN patients, which indicates that patients with AMAN not only have increased numbers of circulating memory Tfh2 and Tfh17 subsets, but are also over-activated, which is consistent with the abnormal humoral immune response. Subsequently, the functional in vitro experiments in our study verified that Tfh2 and Tfh17 subsets in AMAN patients possessed stronger activity with regards to maintaining B cell survival and promoting B cells differentiation into antibody-secreting cells. This effect was found to be partly inhibited by blockage of IL21.

Undoubtedly, as a traditional first line therapy, high-dose IVIg treatment is effective in a number of auto-immune disorders by down-regulating autoreactive T/B cell function36. So far, the effect of IVIg treatment on Tfh cell differentiation and function has not been explored. In the present study, our data, perhaps for the first time, reveals that high-dose IVIg treatment down-regulates the absolute counts of circulating memory Tfh cells in serious GBS (HFGSs ≧4) patients, which was associated with the decline in the (Tfh2+Tfh17)/Tfh1 ratio along with a decline in serum IL-21 levels. However, the precise mechanism of action of the same is not completely understood. The mechanism of action of IVIG in GBS has earlier been shown to include a direct competition with autoantibodies, by neutralization of autoantibodies by anti-idiotypic antibodies37, and by inhibition of complement deposition38. A recent study reported downregulation of circulating memory CD4+T cells and CD19+ B cells in AIDP, but not in AMAN, among GBS patients treated with IVIg39. However, the downregulation of circulating CD4+T cell subsets, Th1, Th17 and Th22, was not related with GBS subtypes40. Furthermore, we found no significant difference in the percentage of ICOS+ and PD-1+ cells among Tfh17 and the number of plasmablasts between pretreatment and posttreatment in patients with severe AMAN, which indicates a less than satisfactory efficacy of traditional IVIg in affording symptom-relief in patients with severe AMAN, probably due to the poor modulation of Tfh-B cell interactions.

Conclusion

To the best of our knowledge, this is the first study to demonstrate the association of circulating memory Tfh cells, especially the Tfh2 and Tfh17 subsets, with the development of AMAN. Not only were the absolute counts of circulating memory Tfh2 and Tfh17 subsets elevated in peripheral blood of AMAN patients, but these cells were also in an overactive state, which in turn stimulated the antibody-mediated humoral immune response, leading to more severe disease manifestations in AMAN patients.

Our study indicates that peripheral Tfh2 and Tfh17 cell counts may serve as useful bio-markers for evaluating the disease progression in AMAN patients. Additionally, these cells may have future application as therapeutic targets for the treatment of AMAN patients.

Additional Information

How to cite this article: Che, Y. et al. Circulating memory T follicular helper subsets, Tfh2 and Tfh17, participate in the pathogenesis of Guillain-Barré syndrome. Sci. Rep. 6, 20963; doi: 10.1038/srep20963 (2016).

Acknowledgments

The authors sincerely thank Mr. Rui Sun and Ms. Rongjing Dang for their technical assistance. This study was supported by grants from the National Natural Science Foundation of China (No. 30972610 and 81273240), Jilin Province Science and Technology Agency (No. 20110716), the Health Department Research Projects in Jilin Province (2009Z054), and Norman Bethune Program of Jilin University (2012206).

Footnotes

The authors declare no competing financial interests.

Author Contributions Study design: Y.J.; Literature research: Y.C. and J.Q.; Clinical studies: T.J. and F.Y.; Experimental studies: Y.C.; Data acquisition: Y.C., T.J. and F.Y.; Data analysis/interpretation: Y.C., T.J. and M.L.; Statistical analysis: Y.C. and J.Q.; Manuscript preparation: Y.C.; Manuscript editing: Y.C. and J.Q.; Manuscript revision/review: Y.J.; Manuscript fnal version approval: Y.J.

References

  1. Pritchard J. & Hughes R. A. Guillain-Barre syndrome. Lancet. 363, 2186–2188 (2004). [DOI] [PubMed] [Google Scholar]
  2. Hughes R. A., Hadden R. D., Gregson N. A. & Smith K. J. Pathogenesis of Guillain-Barre syndrome. J. Neuroimmunol. 100, 74–97 (1999). [DOI] [PubMed] [Google Scholar]
  3. Zhang H. L., Zheng X. Y. & Zhu J. Th1/Th2/Th17/Treg cytokines in Guillain-Barre syndrome and experimental autoimmune neuritis. Cytokine Growth Factor Rev. 24, 443–453 (2013). [DOI] [PubMed] [Google Scholar]
  4. Li S. et al. IL-17 and IL-22 in cerebrospinal fluid and plasma are elevated in Guillain-Barre syndrome. Mediators Inflamm. 2012, 260473 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Zhu J., Mix E. & Link H. Cytokine production and the pathogenesis of experimental autoimmune neuritis and Guillain-Barre syndrome. J. Neuroimmunol. 84, 40–52 (1998). [DOI] [PubMed] [Google Scholar]
  6. Harness J. & McCombe P. A. Increased levels of activated T-cells and reduced levels of CD4/CD25+ cells in peripheral blood of Guillain-Barre syndrome patients compared to controls. J. Clin Neurosci. 15, 1031–1035 (2008). [DOI] [PubMed] [Google Scholar]
  7. Zepp J., Wu L. & Li X. IL-17 receptor signaling and T helper 17-mediated autoimmune demyelinating disease. Trends Immunol. 32, 232–239 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Wang X. et al. Mitigated Tregs and augmented Th17 cells and cytokines are associated with severity of experimental autoimmune neuritis. Scand J Immunol. 80, 180–190 (2014). [DOI] [PubMed] [Google Scholar]
  9. Yuki N. Guillain-Barre syndrome and anti-ganglioside antibodies: a clinician-scientist’s journey. Proc Jpn Acad Ser B Phys Biol Sci. 88, 299–326 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Fewou S. N. et al. Anti-ganglioside antibody internalization attenuates motor nerve terminal injury in a mouse model of acute motor axonal neuropathy. J. Clin Invest. 122, 1037–1051 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Hafer-Macko C. et al. Acute motor axonal neuropathy: an antibody-mediated attack on axolemma. Ann Neurol. 40, 635–644 (1996). [DOI] [PubMed] [Google Scholar]
  12. Abraham P. M., Quan S. H., Dukala D. & Soliven B. CD19 as a therapeutic target in a spontaneous autoimmune polyneuropathy. Clin Exp Immunol. 175, 181–191 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Nakano Y. & Kanda T. Pathology of the Peripheral Nervous System in Guillain-Barré Syndrome. Brain Nerve. 67, 1329–39 (2015). [DOI] [PubMed] [Google Scholar]
  14. Wu X. et al. More severe manifestations and poorer short-term prognosis of ganglioside-associated Guillain-Barre syndrome in Northeast China. PLoS One. 9, e104074 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Crotty S. Follicular helper CD4 T cells (TFH). Annu Rev Immunol. 29, 621–663 (2011). [DOI] [PubMed] [Google Scholar]
  16. Morita R. et al. Human blood CXCR5(+) CD4(+) T cells are counterparts of T follicular cells and contain specific subsets that differentially support antibody secretion. Immunity. 34, 108–121 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Tellier J. & Nutt S. L. The unique features of follicular T cell subsets. Cell Mol Life Sci. 70, 4771–4784 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Li X. Y. et al. Role of the frequency of blood CD4(+) CXCR5(+) CCR6(+) T cells in autoimmunity in patients with Sjogren’s syndrome. Biochem Biophys Res Commun. 422, 238–244 (2012). [DOI] [PubMed] [Google Scholar]
  19. Romme Christensen J. et al. Systemic inflammation in progressive multiple sclerosis involves follicular T-helper, Th17- and activated B-cells and correlates with progression. PLoS One. 8, e57820 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Luo C. et al. Expansion of circulating counterparts of follicular helper T cells in patients with myasthenia gravis. J. Neuroimmunol. 256, 55–61 (2013). [DOI] [PubMed] [Google Scholar]
  21. Uncini A. & Kuwabara S. Electrodiagnostic criteria for Guillain-Barre syndrome: a critical revision and the need for an update. Clin Neurophysiol. 123, 1487–1495 (2012). [DOI] [PubMed] [Google Scholar]
  22. Hughes R. A., Newsom-Davis J. M., Perkin G. D. & Pierce J. M. Controlled trial prednisolone in acute polyneuropathy. Lancet. 2, 750–753 (1978). [DOI] [PubMed] [Google Scholar]
  23. Kleyweg R. P., van der Meche F. G. & Schmitz P. I. Interobserver agreement in the assessment of muscle strength and functional abilities in Guillain-Barre syndrome. Muscle Nerve. 14, 1103–1109 (1991). [DOI] [PubMed] [Google Scholar]
  24. Bryant V. L. et al. Cytokine-mediated regulation of human B cell differentiation into Ig-secreting cells: predominant role of IL-21 produced by CXCR5+ T follicular helper cells. J. Immunol. 179, 8180–8190 (2007). [DOI] [PubMed] [Google Scholar]
  25. Le Coz C. et al. Circulating TFH subset distribution is strongly affected in lupus patients with an active disease. PLoS One. 8, e75319 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Park H. J. et al. Insights into the role of follicular helper T cells in autoimmunity. Immune Netw. 14, 21–29 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Topalian S. L., Drake C. G. & Pardoll D. M. Targeting the PD-1/B7-H1(PD-L1) pathway to activate anti-tumor immunity. Curr Opin Immunol. 24, 207–212 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Zhang X. et al. Follicular helper T cells: new insights into mechanisms of autoimmune diseases. Ochsner J. 13, 131–139 (2013). [PMC free article] [PubMed] [Google Scholar]
  29. Linterman M. A. et al. Follicular helper T cells are required for systemic autoimmunity. J. Exp Med. 206, 561–576 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Papp G., Szabo K., Szekanecz Z. & Zeher M. Follicular helper T cells in autoimmune diseases. Rheumatology (Oxford). 53, 1159–1160 (2014). [DOI] [PubMed] [Google Scholar]
  31. Simpson N. et al. Expansion of circulating T cells resembling follicular helper T cells is a fixed phenotype that identifies a subset of severe systemic lupus erythematosus. Arthritis Rheum. 62, 234–244 (2010). [DOI] [PubMed] [Google Scholar]
  32. Hu W. et al. Expression of CD28-related costimulatory molecule and its ligand in inflammatory neuropathies. Neurology. 68, 277–282 (2007). [DOI] [PubMed] [Google Scholar]
  33. Francisco L. M., Sage P. T. & Sharpe A. H. The PD-1 pathway in tolerance and autoimmunity. Immunol Rev. 236, 219–242 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Dai S. et al. The PD-1/PD-Ls pathway and autoimmune diseases. Cell Immunol. 290, 72–79 (2014). [DOI] [PubMed] [Google Scholar]
  35. Carter L. L. et al. PD-1/PD-L1, but not PD-1/PD-L2, interactions regulate the severity of experimental autoimmune encephalomyelitis. J. Neuroimmunol. 182, 124–134 (2007). [DOI] [PubMed] [Google Scholar]
  36. Kleyweg R. P., van der Meche F. G. & Meulstee J. Treatment of Guillain-Barre syndrome with high-dose gammaglobulin. Neurology. 38, 1639–1641 (1988). [DOI] [PubMed] [Google Scholar]
  37. Jacobs B. C. et al. Immunoglobulins inhibit pathophysiological effects of anti-GQ1b-positive sera at motor nerve terminals through inhibition of antibody binding. Brain. 126, 2220–2234 (2003). [DOI] [PubMed] [Google Scholar]
  38. Zhang G. et al. Anti-ganglioside antibody-mediated neuronal cytotoxicity and its protection by intravenous immunoglobulin: implications for immune neuropathies. Brain. 127, 1085–1100 (2004). [DOI] [PubMed] [Google Scholar]
  39. Hou H. Q. et al. Changes in lymphocyte subsets in patients with Guillain-Barre syndrome treated with immunoglobulin. BMC Neurol. 14, 202 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Li S. et al. Circulating Th17, Th22, and Th1 cells are elevated in the Guillain-Barre syndrome and downregulated by IVIg treatments. Mediators Inflamm. 2014, 740947 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]

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