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Medicine (Baltimore). 2016 May; 95(19): e3370.
Published online 2016 May 13. doi:  10.1097/MD.0000000000003370
PMCID: PMC4902477

Transcriptome Analysis of Peripheral Blood in Chronic Inflammatory Demyelinating Polyradiculoneuropathy Patients Identifies TNFR1 and TLR Pathways in the IVIg Response

Monitoring Editor: Ken Rosenthal.


We have studied the response to intravenous immunoglobulins (IVIg) by a transcriptomic approach in 11 chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) patients (CIDP duration = 6 [0.83–6.5] years). RNA was extracted from cells in whole blood collected before and 3 weeks after IVIg treatment, and hybridized on Illumina chips. After RNA quality controls, gene expression was analyzed using statistical tests fitted for microarrays (R software, limma package), and a pathway analysis was performed using DAVID software. We identified 52 genes with expression that varied significantly after IVIg (fold change [FC] > 1.2, P < 0.001, false discovery rate [FDR] <0.05). Among these 52 genes, 7 were related to immunity, 3 were related to the tumor necrosis factor (TNF)-α receptor 1 (TNFR1) pathway (inhibitor of caspase-activated DNase (ICAD): FC = 1.8, P = 1.7E-7, FDR = 0.004; p21 protein-activated kinase 2 [PAK2]: FC = 1.66, P = 2.6E-5, FDR = 0.03; TNF-α-induced protein 8-like protein 1 [TNFAIP8L1]: P = 1.00E-05, FDR = 0.026), and 2 were related to Toll-like receptors (TLRs), especially TLRs 7 and 9, and were implicated in autoimmunity. These genes were UNC93B1 (FC = 1.6, P = 2E-5, FDR = 0.03), which transports TLRs 7 and 9 to the endolysosomes, and RNF216 (FC = 1.5, P = 1E-05, FDR = 0.03), which promotes TLR 9 degradation. Pathway analysis showed that the TNFR1 pathway was significantly lessened by IVIg (enrichment score = 24, Fischer exact test = 0.003). TNF-α gene expression was higher in responder patients than in nonresponders; however, it decreased after IVIg in responders (P = 0.04), but remained stable in nonresponders. Our data suggest the actions of IVIg on the TNFR1 pathway and an original mechanism involving innate immunity through TLRs in CIDP pathophysiology and the response to IVIg. We conclude that responder patients have stronger inflammatory activity that is lessened by IVIg.


Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated disorder of peripheral nerves. It is a disabling condition, causing motor deficits and sensory disorders with various clinical presentations.1 Its physiopathology remains largely unknown. The implication of cellular immunity is suspected,2,3 as macrophages and T CD4+ lymphocytes have been found in nerve biopsies of CIDP patients. Moreover, it was recently shown that the T-cell receptor repertoire of cells infiltrating peripheral nerves have a strong monoclonal or oligoclonal restriction that corresponds to that of circulating T cells.4 These data support the hypothesis of an antigen-driven T-cell attack against nerves, even if the target of this immune response remains unclear. Humoral immunity could also be implicated, as indirectly supported by the beneficial effects of plasmapheresis5 and by the fact that conduction blocks were induced in rats by injecting purified immunoglobulin (Ig)G from CIDP patients.3 Several antibodies directed against myelin components or nodal and paranodal proteins have been reported, but only in a small number of CIDP patients.2,6

Intravenous immunoglobulins (IVIg) are a first-line therapy for CIDP.7 IVIg have several mechanisms of action that are still not completely understood.8,9 It has been shown that IVIg modify autoimmunity by modulating several functions and cells, including immunoglobulin fold change (FC) fragment receptor expression,10 monocyte and macrophage activation, differentiation and maturation of dendritic cells (DCs), regulatory T cells, autoreactive B lymphocytes,11 auto and allo-reactive T cells,9,12 complement-mediated damage,8 and the levels of circulating autoantibodies.9 Furthermore, the therapeutic effects of IVIg may result from different mechanisms depending on the pathophysiology of the autoimmune disease in which it is used.

In CIDP, it has been shown that IVIg up-regulate the expression of Fcgamma RIIb on naïve B cells,13 reduce autoreactive T-cell responses against PMP-22 and P2-antigens,12 and regulate Bcell activating factor expression.14 However, the biological results of these observations and their relationship with the disease physiopathology remain poorly understood.

Here we use a transcriptomic approach to compare the gene expression profiles in the peripheral blood of CIDP patients before and after IVIg treatment to identify their mechanisms of action in this condition, to lead to a better understanding of CIDP pathophysiology, and to potentially determine the factors associated with the IVIg response in CIDP patients.


Patient Selection and Inclusion Criteria

Patients were consecutively recruited at the Pitié-Salpêtrière Hospital (Paris, France) in a French National Reference Centre for Rare Neuromuscular Disorders. Samples were collected from all patients seen between June 2013 and 2014 who matched the inclusion criteria and agreed to take part in our study. The patients signed an informed consent before participating in any procedure. The project was approved by the local ethics committee (CPP Ile de France VI) on May 30, 2012. Inclusion criteria included the following: a definite or probable CIDP diagnosis using the 2010 European Federation of Neurological Societies (EFNS)/Peripheral Nerve Society (PNS) diagnostic criteria or an atypical CIDP diagnosis meeting the EFNS/PNS clinical criteria and at least 2 EFNS/PNS supportive criteria7; and indication of IVIg treatment.

Samples Collection

A peripheral blood sample was collected from each patient using a Paxgene tube at baseline (T1), that is, 1 hour before IVIg administration. For patients treated with IVIg before their inclusion in the study, the T1 sample was collected after a 6-week washout period. The treatment consisted of 2 g/kg of IVIg administered over a 3-day period. A second blood sample (T2) was then collected for each patient using a Paxgene tube. In these patients, the T2 sample was collected 3 weeks after T1. For patients in which IVIg treatment was just initiated (naïve patients), we administered a first course of IVIg (2 g/kg) 1 hour after T1, followed by a second course (2 g/kg) 4 weeks later. The T2 sample was collected 3 weeks after the second course of IVIg, ensuring better comparisons with patients already under long-term IVIg treatment. The samples were frozen within 24 hours and stored at −80°C until further use.

Patients were evaluated at the T1 and T2 time points using the Overall Neuropathy Limitations Scale (ONLS), the Medical Research Council (MRC) scale for muscle strength, and the inflammatory neuropathy cause and Treatment sensory sum score. A patient was considered a responder to IVIg if the ONLS score decreased by at least 1 point at the T2 time point compared with T1.

RNA Processing

RNA was extracted from PAXgene tubes using the PAXgene Blood RNA kit (Qiagen) followed by a cleaning with the RNeasy MinElute Cleanup kit (Qiagen), according to the manufacturer's instructions. RNA was quantified by 260/280 nm absorbance (nanodrop), and RNA quality was controlled by electrophoresis in an Agilent Bioanalyzer. RNA (250 ng) was amplified with the TotalPrep Illumina kit (Ambion, Life Technologies), and 1.5 μg cDNA was hybridized to Illumina Human HT-12 BeadChip arrays (Illumina). The results were read by an Illumina BeadArray scanner at the genomics facility of the Pitié-Salpêtrière Hospital (P3S). To minimize batch effects, a maximum of samples were processed at the same time, buffers from the different kit batches were pooled, and the order in which the samples were processed was randomized. The position of each sample on the chips was also randomized, and the paired samples of each patient were assigned to the same chip. To confirm the microarray experiments results, real-time RT-PCR was performed on 5 genes of interest (UNC93B1, RNF216, ICAD, PAK2, and tumor necrosis factor [TNF]-α) using the Prism 7500 HT sequence detection system (Applied Biosystems). quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed on only 8 patients because insufficient quantities of RNA were available for the other 3 patients. Primers were designed with the Oligo Explorer 1.0 software and verified for specificity with the NCBI Blast engine ( using the “nearly exact short match” program. The PCR products were analyzed with the SDS 2.1 real-time detection system software. The 18−28 Ct method was used for quantification. The relative levels of mRNA were standardized using RPL13 RNA as the nonvariant RNA species.

Statistical Analysis

Quality control was performed using the lumi R package (box plot of intensities, clustering), and Bead Studio software (p95/p05, p95/background, BeadStudio, Illumina). Reproducibility was verified by hybridizing duplicate membranes. The nonspecific background was suppressed; the data were converted to log2 and then normalized using the median intensity of the arrays. The threshold intensity was set at a minimum value of 10. The statistical analysis to determine the gene expression profile before and after treatment was performed with the limma package (R software) using a paired t test fitted for microarrays. The P values were adjusted by the Benjamini and Hochberg method,15 correcting for multiple comparisons (false discovery rate [FDR]) with a significance threshold set at P = 0.001 and FDR = 0.05. We selected as genes of interest those with expression that varied (FC) by more than 1.2 times the median and were significantly deregulated by the treatment (P < 0.001 and FDR < 0.05). A positive FC indicated the gene expression was decreased after IVIg treatment, whereas a negative FC signified that the gene expression was increased after IVIg treatment. The principal biological processes deregulated in our samples were determined by a comparison between a list of deregulated genes and a list of reference genes using the DAVID Bioinformatics Resources 6.7 Functional Annotation Tool (NIAID/NIH).

Variation in gene expression between the responder and nonresponder patients was compared using a Welch t test (R). Values are expressed as the median ± interquartiles for the clinical characteristics patients and as the mean ± standard deviation for gene expression values.



Eighteen patients were included in this study. Blood samples (PAXgene) were collected before (T1) and 3 weeks (T2) after IVIg treatment. Among the 36 samples that were processed, 7 samples were excluded from subsequent analysis because of poor RNA quality after extraction (4 samples), insufficient yield after RNA amplification (1 sample), or the hybridization median intensity was out of range (2 samples). Eleven patients were included in the final analysis, including 7 men and 4 women who had a median age at the time of inclusion of 64 years (interquartile range [IQR] 60–71.5). Among these patients, the median duration of CIDP was 6 years [IQR 0.83–6.5]. Seven patients had a previous IVIg treatment established more than 5 months before their inclusion in the study (median duration of IVIg treatment 11 months [IQR 6–72]), and 4 patients were treatment-naïve and began IVIg treatment at the time of inclusion.

Three patients had the common form of CIDP, 4 patients had a Lewis–Sumner syndrome, 1 patient had a pure clinical motor form, and 3 patients had a pure clinical sensory form. All of the patients met the EFNS/PNS electrophysiological criteria, except 2 patients who presented a chronic immune sensory polyradiculopathy (CISP), which is an atypical variant of CIDP. One of these CISP patients met 2 supportive EFNS/PNS criteria, whereas the other met 3 of these criteria; both had a positive nerve biopsy. Seven patients were considered responders and 4 patients were nonresponders.

Gene Expression Profiling Before and After IVIg Treatment

We identified 52 genes with expression values that were significantly different between T1 and T2 (P < 0.001, FDR < 0.05; Table Table11).

Genes Significantly Deregulated After IVIg and Their Functions

Most of the genes (96 %) were down-regulated at T2. This molecular signature clearly differentiated T1 and T2 samples (Figure (Figure1).1). Significant genes were associated with immunity, transcription regulation, intracellular signaling, and other biological functions.

Molecular signature induced by IVIg. Heatmap featuring the expression of the 52 significantly deregulated genes identified in our primary analysis (FDR < 0.05). Genes represented in red are highly expressed (most genes before treatment), ...

In particular, 7 genes were known to play a role in immunity. An unbiased pathway analysis using the Biocarta database revealed 2 significantly enriched pathways—the TNF-α receptor 1 (TNFR1) and Fas ligand pathways (enrichment score = 24, Fischer exact test = 0.003 for TNFR1; and enrichment score = 23.2, Fischer exact test = 0.003 for Fas ligand). Indeed, 3 out of the 7 genes were associated with the TNF-α signaling pathway, including the DNA fragmentation factor (ICAD), PAK2, and TNFAIP8L1. We then performed a subsequent analysis restricted to genes involved in immunity and inflammation (687 genes according to Gene Ontology), and we found 9 significantly deregulated genes (Table (Table2),2), including the gene encoding TNF-α itself.

Genes Belonging to Immunity and Inflammation Deregulated After IVIg

The qRT-PCR analysis confirmed the decrease in ICAD (P = 0.016), PAK2 (P = 0.008), and TNF-α (P = 0.039) gene expression after IVIg (Figures (Figures22 and and33).

Expression of selected genes identified by a transcriptomic approach. Gene expression (normalized intensity) before (T1) and after (T2) treatment by IVIg for our genes of interest. IVIg = intravenous immunoglobulin.
Expression of selected genes measured by qRT-PCR. Expression level of our genes of interest before (T1) and after (T2) treatment by IVIg. IVIg = intravenous immunoglobulin, qRT-PCR = quantitative reverse transcription-polymerase ...

Interestingly, 2 of the 7 genes related to immunity were involved in Toll-like receptor (TLR) (especially TLR 7 and 9 implicated in autoimmunity) activity. These genes included UNC93B1 (FC = 1.6, P = 2E-05, FDR = 0.03), which regulates TLR activity by transporting TLR 7 and TLR 9 from the endoplasmic reticulum to the endolysosomes,16 and RNF216 (FC = 1.5, P = 1E-05, FDR = 0.03), which promotes TLR 4 and TLR 9 degradation.17 Each of these genes was down-regulated. Using qRT-PCR, we confirmed the decreased gene expression after IVIg for UNC93B1 (P = 0.016), but not for RNF216 (P = 0.195) (Figures (Figures22 and and33).

The other 2 deregulated genes implicated in autoimmunity were hematopoietic cell signal transducer, which plays a role in triggering cytotoxicity,18 and CD68, the function of which is still controversial, but it could be a component of an antigen presenting system.19

TNF-α Expression Decreases After IVIg in Responder Patients

Because the TNF-α pathway seemed to be the major immunological pathway regulated by IVIg in CIDP, we compared the change in its expression levels in responder and nonresponder patients. As shown in Figure Figure4,4, TNF-α gene expression decreased significantly after IVIg in responders compared with that in nonresponders (P = 0.04).

TNF-α gene expression and response to IVIg in CIDP patients. TNF-α gene expression levels before (T1) and after (T2) treatment measured by microarrays in whole blood (left panel). Continuous lines represent nonresponder patients and dotted ...


The gene expression levels in CIDP have been compared using a transcriptomic approach to control patients in nerve20 and skin biopsies.21,22 Renaud et al20 performed a transcriptome analysis in sural nerve biopsies, comparing 8 CIDP patients with 6 controls. Most of the 123 differentially expressed genes were involved in immunity and signal transduction, including tachykinin precursor 1 (TAK1), which may be involved in pain mediation; stearoyl-CoA-desaturase (SCD), which may be a marker for remyelination; and the allograft inflammatory factor 1 (AIF-1), a modulator of immune response during macrophage activation.

In 2010, Lee et al22 studied the transcriptomic profile on skin punch biopsies form 11 CIDP patients and 15 controls. Five up-regulated genes of interest were highlighted, which were related to inflammatory, immune, or defence processes. These genes encoded AIF-1, lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1), FYN-binding protein (FYB), myeloid/lymphoid or mixed-lineage leukaemia (trithorax homolog, Drosophila); translocated to, 3 (MLLT3) and purinergic receptor P2Y, G-protein coupled, 1 (P2RY1).

More recently, Puttini et al21 performed transcriptional profiling on skin punch biopsies from 20 CIDP patients and 17 healthy controls. Twenty-six genes were differentially expressed and were mostly involved in immune and chemokine regulation, growth, and repair. That study also showed the up-regulation of 2 genes, kinase insert domain receptor (a type III receptor tyrosine kinase) (KDR) and discoidin domain receptor tyrosine kinase 2 (DDR2), could be a biomarker of CIDP, and also the up-regulation of LYVE-1.

Our study is the first to employ a transcriptomic approach in blood cells of CIDP patients comparing gene expression levels before and after IVIg, with each patient being its own control. This enabled us to formulate hypotheses on the mechanisms of action of IVIg in CIDP and on CIDP pathophysiology.

In this study, we found a molecular signature induced by IVIg treatment in the whole blood of CIDP patients. The statistical analysis of the differentially expressed genes after IVIg treatment compared with baseline led to the identification of 52 genes of interest that should be further explored.

TNF-α Expression and TNFR1 Pathways are Modified by IVIg in CIDP

The TNFR1 pathway was significantly down-regulated by IVIg in our cohort, and 3 of the 7 down-regulated genes related to immunity belonged to the TNF-α signaling pathway (PAK2, ICAD, and TNFAIP8L1). Moreover, we found in responder patients that the TNF-α gene expression level was higher before IVIg treatment and decreased significantly after treatment.

Tumor necrosis factor-α is a cytokine produced by macrophages and activated T lymphocytes. It has a pro-inflammatory effect mediated by all major mediators of inflammation, including chemokines, inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), 5-lipoxygenase (5-LOX), and NF-κB (nuclear factor of kappa light polypeptide gene enhancer in B-cells)-regulated proteins, such as interleukin (IL)-6, IL-8, and IL-18. TNF-α activation of TNFR1 has a pro-inflammatory effect (induction of NF-κB), and induces cell apoptosis (recruitment of TRADD (tumor necrosis factor receptor 1 (TNFR1)-associated death domain protein), Fas associated via death domain, and then activation of caspases 8 and 3).23

The implication of TNF-α in CIDP has been suggested. Serum levels of TNF-α are increased in the active phase of clinically severe CIDP patients, but decreased after immunotherapy with IVIg or plasmapheresis.24

Previous findings showed that IVIg treatment causes a decrease in TNF-α production in lipopolysaccharide-stimulated peripheral blood mononuclear cells (PBMCs).25 Yang et al26 have shown that the expression of TNFR1 in B lymphocytes of CIDP patients decreases after IVIg treatment. Paradoxically, several reports have been published in which CIDP cases occurred after anti-TNF-α treatment.2729

We showed that in responder patients, the TNF-α gene expression level was higher before IVIg treatment and decreased significantly after treatment. This suggests that patients who respond to IVIg are those who have stronger TNF-α expression, which is decreased by the treatment.

Future studies are necessary to determine if the TNF-α expression level is a marker of the IVIg response in CIDP patients. Conversely, a low TNF-α expression could be an indicator for IVIg discontinuation.

Potential IVIg-mediated TLR Modulation Through UNC93B1 and RNF216 Genes

In addition to the TNFR1 pathway modulation, we found that 2 genes involved in the regulation of TLR activity, UNC93B1 and RNF216, which are especially involved in TLR 7 and TLR 9 regulation, were down-regulated by IVIg.

The TLRs play a key role in the innate immune system. Activation of these receptors induces production of inflammatory cytokines, and also type I interferon (IFN). Loss of negative regulation and recognition of self molecules by TLRs have been shown to play a role in the pathogenesis of inflammatory and autoimmune diseases.30 Our data suggest that IVIg regulates TLR activity in CIDP.

In particular, TLR 7 and TLR 9 are implicated in autoimmunity. Fukui et al16 suggested that TLR 9 has a protective effect in autoimmune prone MRL/lpr mice and that its effect is mediated by competition with TLR 7 for interaction with UNC93B1. TLR 9 also has a pathogenic action of its own: it was shown to induce Th1 autoimmunity in a mouse model of antibody-associated vasculitis (AAV),31 and was found to be crucial in the formation and maintenance of inflammatory lesions in an experimental allergic encephalomyelitis (EAE) mouse model.32

Toll-like receptor 7 has been shown to promote production of autoreactive antibodies in systemic lupus erythematosus (SLE) models, whereas TLR 9 has an opposing protective role,33 controlling the TLR 7 response on B cells.34

In CIDP, however, the role of TLRs has not been reported, although it has been described that TLRs might be involved in Guillain–Barre syndrome, the acute form of CIDP, and that inactivating TLR 9 induces clinical improvement in experimental autoimmune neuritis.3537

It is established that UNC93B1 controls differential trafficking of endosomal TLRs,16,38 which may explain its role in autoimmunity. UNC93B1 actively and continuously regulates excessive TLR7 activation of immune cells by employing TLR 9 to counteract TLR 7.16 The role of UNC93B1 in CIDP has not been reported in the literature, although some data exist in SLE. It has been shown that that UNC93B1 mRNA expression levels in PBMCs and B cells isolated from active SLE patients were significantly higher than those in healthy controls and inactive in SLE patients.39

RNF216 promotes TLR 4 and TLR 9 degradation,17 and therefore modulates the balance between TLRs.

These results suggest that IVIg regulates TLR activity in CIDP. These findings are consistent with previous data reporting an action of IVIg on TLRs, leading to a decrease in pro-inflammatory cytokines. It has been demonstrated that IVIg decreases the production of pro-inflammatory cytokines, especially TNF-α and IL-6, by modulating the TLR 4 signaling pathway.25 More recent data indicate that IVIg, more specifically their F (ab’)2 fragment, decreases IFN-α production induced by TLR 7 and TLR 9 agonists.40

Study Limitations

The results presented in this article have several limitations, inherent to transcriptome analysis and the experimental design. Performing the analysis on whole blood using PaxGene technology had the advantage of avoiding RNA degradation, but it does not allow us to determine the cellular subtype in which the gene expression modification occurs. Furthermore, the small number of patients included in this pilot study does not allow final conclusions on the present biological results and will need further validation in independent cohorts. A case-control study is currently under way to confirm our results.


In conclusion, our study provides additional information on the role of IVIg in the TNFR1 pathway, and it has shown an original mechanism in CIDP pathophysiology and response to IVIg, implicating TLRs. Furthermore, we have established that TNF-α expression decreases after IVIg in responder patients. Although the findings should be confirmed by different methods in independent cohorts, these data provide promising insights into the physiopathology and response to IVIg in CIDP.


We would like to thank CSL Behring France who supported this work with a grant.


Abbreviations: CIDP = chronic inflammatory demyelinating neuropathy, CISP = chronic inflammatory sensitive neuropathy, DC = dendritic cell, FC = fold change, FDR = false discovery rate, IFN = interferon, IVIg = intravenous immunoglobulin, PBMC = peripheral blood mononucleated cells, RNA = ribonucleic acid, TLR = Toll-like receptor, TNFR = tumor necrosis factor receptor.

KV and FCA contributed equally to this work

Funding: The research leading to the present results has received funding from the programme “Investissements d’Avenir” ANR-10-IAIHU-06. A. Richard was supported by a grant from the French Ministry of Health (“année recherche”).

Competing interests: K. Viala has received research grants and fees from CSL Behring and LFB.


1. Viala K, Maisonobe T, Stojkovic T, et al. A current view of the diagnosis, clinical variants, response to treatment and prognosis of chronic inflammatory demyelinating polyradiculoneuropathy. J Peripher Nerv Syst JPNS 2010; 15:50–56. [PubMed]
2. Allen D, Giannopoulos K, Gray I, et al. Antibodies to peripheral nerve myelin proteins in chronic inflammatory demyelinating polyradiculoneuropathy. J Peripher Nerv Syst JPNS 2005; 10:174–180. [PubMed]
3. Yan WX, Taylor J, Andrias-Kauba S, et al. Passive transfer of demyelination by serum or IgG from chronic inflammatory demyelinating polyneuropathy patients. Ann Neurol 2000; 47:765–775. [PubMed]
4. Schneider-Hohendorf T, Schwab N, Uçeyler N, et al. CD8+ T-cell immunity in chronic inflammatory demyelinating polyradiculoneuropathy. Neurology 2012; 78:402–408. [PubMed]
5. Dalakas MC. Pathophysiology of autoimmune polyneuropathies. Presse Médicale Paris Fr 1983; 42: 2013; e181–e192. [PubMed]
6. Yan WX, Archelos JJ, Hartung HP, et al. P0 protein is a target antigen in chronic inflammatory demyelinating polyradiculoneuropathy. Ann Neurol 2001; 50:286–292. [PubMed]
7. Joint Task Force of the, EFNS., and the, PNS., European Federation of Neurological Societies/Peripheral Nerve Society Guideline on management of paraproteinemic demyelinating, neuropathies. Report of a Joint Task Force of the European Federation of Neurological Societies and the Peripheral Nerve Society: first, revision. J Peripher Nerv Syst JPNS 2010; 15:185–195. [PubMed]
8. Bayry J, Bayary J, Dasgupta S, et al. Intravenous immunoglobulin in autoimmune disorders: an insight into the immunoregulatory mechanisms. Int Immunopharmacol 2006; 6:528–534. [PubMed]
9. Tha-In T, Bayry J, Metselaar HJ, et al. Modulation of the cellular immune system by intravenous immunoglobulin. Trends Immunol 2008; 29:608–615. [PubMed]
10. Van Mirre E, Teeling JL, van der Meer JWM, et al. Monomeric IgG in intravenous Ig preparations is a functional antagonist of Fc RII and Fc RIIIb. J Immunol 2004; 173:332–339. [PubMed]
11. Schwab I, Nimmerjahn F. Intravenous immunoglobulin therapy: how does IgG modulate the immune system? Nat Rev Immunol 2013; 13:176–189. [PubMed]
12. Klehmet J, Goehler J, Ulm L, et al. Effective treatment with intravenous immunoglobulins reduces autoreactive T-cell response in patients with CIDP. J Neurol Neurosurg Psychiatry 2014; [Published Online First July 29] doi: 10.1136/jnnp 2014 307708. [PubMed]
13. Tackenberg B, Jelcic I, Baerenwaldt A, et al. Impaired inhibitory Fcgamma receptor IIB expression on B cells in chronic inflammatory demyelinating polyneuropathy. Proc Natl Acad Sci U S A 2009; 106:4788–4792. [PubMed]
14. Ritter C, Förster D, Albrecht P, et al. IVIG regulates BAFF expression in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). J Neuroimmunol 2014; 274:225–229. [PubMed]
15. Benjamini Yoav, Hochberg Yosef. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B 1995; 57:289–300.
16. Fukui R, Saitoh S-I, Kanno A, et al. Unc93B1 restricts systemic lethal inflammation by orchestrating Toll-like receptor 7 and 9 trafficking. Immunity 2011; 35:69–81. [PubMed]
17. Chuang T-H, Ulevitch RJ. Triad3A, an E3 ubiquitin-protein ligase regulating Toll-like receptors. Nat Immunol 2004; 5:495–502. [PubMed]
18. Karimi M, Cao TM, Baker JA, et al. Silencing human NKG2D, DAP10, and DAP12 reduces cytotoxicity of activated CD8+ T cells and NK cells. J Immunol Baltim Md 1950 2005; 175:7819–7828. [PubMed]
19. Kurushima H, Ramprasad M, Kondratenko N, et al. Surface expression and rapid internalization of macrosialin (mouse CD68) on elicited mouse peritoneal macrophages. J Leukoc Biol 2000; 67:104–108. [PubMed]
20. Renaud S, Hays AP, Brannagan TH, 3rd, et al. Gene expression profiling in chronic inflammatory demyelinating polyneuropathy. J Neuroimmunol 2005; 159:203–214. [PubMed]
21. Puttini S, Panaite P-A, Mermod N, et al. Gene expression changes in chronic inflammatory demyelinating polyneuropathy skin biopsies. J Neuroimmunol 2014; 270:61–66. [PubMed]
22. Lee G, Xiang Z, Brannagan TH, 3rd, et al. Differential gene expression in chronic inflammatory demyelinating polyneuropathy (CIDP) skin biopsies. J Neurol Sci 2010; 290:115–122. [PubMed]
23. Aggarwal BB, Gupta SC, Kim JH. Historical perspectives on tumor necrosis factor and its superfamily: 25 years later, a golden journey. Blood 2012; 119:651–665. [PubMed]
24. Misawa S, Kuwabara S, Mori M, et al. Serum levels of tumor necrosis factor-alpha in chronic inflammatory demyelinating polyneuropathy. Neurology 2001; 56:666–669. [PubMed]
25. Murakami K, Suzuki C, Kobayashi F, et al. Intravenous immunoglobulin preparation attenuates LPS-induced production of pro-inflammatory cytokines in human monocytic cells by modulating TLR4-mediated signaling pathways. Naunyn Schmiedebergs Arch Pharmacol 2012; 385:891–898. [PubMed]
26. Yang X, Jin T, Press R, et al. The expression of TNF-alpha receptors 1 and 2 on peripheral blood mononuclear cells in chronic inflammatory demyelinating polyneuropathy. J Neuroimmunol 2008; 200:129–132. [PubMed]
27. Ahmed Z1, Powell R, Llewelyn G, et al. Chronic inflammatory demyelinating polyradiculoneuropathy complicating anti TNF α therapy for chronic plaque psoriasis. BMJ Case Rep 2011; pii: bcr0820114674. doi: 10.1136/bcr.08.2011.4674. [PMC free article] [PubMed]
28. Alshekhlee A, Basiri K, Miles JD, et al. Chronic inflammatory demyelinating polyneuropathy associated with tumor necrosis factor-alpha antagonists. Muscle Nerve 2010; 41:723–727. [PubMed]
29. Lozeron P, Denier C, Lacroix C, et al. Long-term course of demyelinating neuropathies occurring during tumor necrosis factor-alpha-blocker therapy. Arch Neurol 2009; 66:490–497. [PubMed]
30. Kawai T, Akira S. The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors. Nat Immunol 2010; 11:373–384. [PubMed]
31. Summers SA, Steinmetz OM, Gan P-Y, et al. Toll-like receptor 2 induces Th17 myeloperoxidase autoimmunity while Toll-like receptor 9 drives Th1 autoimmunity in murine vasculitis. Arthritis Rheum 2011; 63:1124–1135. [PubMed]
32. Prinz M, Garbe F, Schmidt H, et al. Innate immunity mediated by TLR9 modulates pathogenicity in an animal model of multiple sclerosis. J Clin Invest 2006; 116:456–464. [PubMed]
33. Green NM, Marshak-Rothstein A. Toll-like receptor driven B cell activation in the induction of systemic autoimmunity. Semin Immunol 2011; 23:106–112. [PMC free article] [PubMed]
34. Desnues B, Macedo AB, Roussel-Queval A, et al. TLR8 on dendritic cells and TLR9 on B cells restrain TLR7-mediated spontaneous autoimmunity in C57BL/6 mice. Proc Natl Acad Sci U S A 2014; 111:1497–1502. [PubMed]
35. Gries M, Davies L, Liu Y, et al. Response of Toll-like receptors in experimental Guillain-Barré syndrome: a kinetic analysis. Neurosci Lett 2012; 518:154–160. [PubMed]
36. Wang Y-Z, Liang Q-H, Ramkalawan H, et al. Inactivation of TLR9 by a suppressive oligodeoxynucleotides can ameliorate the clinical signs of EAN. Immunol Invest 2012; 41:171–182. [PubMed]
37. Wang Y-Z, Liang Q-H, Ramkalawan H, et al. Expression of Toll-like receptors 2, 4 and 9 in patients with Guillain-Barré syndrome. Neuroimmunomodulation 2012; 19:60–68. [PubMed]
38. Lee BL, Moon JE, Shu JH, et al. UNC93B1 mediates differential trafficking of endosomal TLRs. eLife 2013; 2:e00291. [PMC free article] [PubMed]
39. Nakano S, Morimoto S, Suzuki S, et al. Up-regulation of the endoplasmic reticulum transmembrane protein UNC93B in the B cells of patients with active systemic lupus erythematosus. Rheumatol Oxf Engl 2010; 49:876–881. [PubMed]
40. Wiedeman AE, Santer DM, Yan W, et al. Contrasting mechanisms of interferon-( inhibition by intravenous immunoglobulin after induction by immune complexes versus Toll-like receptor agonists. Arthritis Rheum 2013; 65:2713–2723. [PubMed]

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