Molecular Vision 2013; 19:184-195 <http://www.molvis.org/molvis/v19/184>
Received 03 August 2012 | Accepted 24 January 2013 | Published 28 January 2013

Tumor necrosis factor polymorphisms associated with tumor necrosis factor production influence the risk of idiopathic intermediate uveitis

Denize Atan,1 Jarka Heissigerova,2 Lucia Kuffová,2 Aideen Hogan,3 Dara J. Kilmartin,3 John V. Forrester,2 Jeff L. Bidwell,4 Andrew D. Dick,1,4 Amanda J. Churchill1

1School of Clinical Sciences, Bristol Eye Hospital, Lower Maudlin Street, Bristol, BS1 2LX, United Kingdom; 2Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom; 3Research Foundation, Royal Victoria Eye and Ear Hospital, Adelaide Road, Dublin 2, Republic of Ireland; 4School of Cellular & Molecular Medicine, University of Bristol, School of Medical Sciences, Bristol, BS8 1TD, United Kingdom

Correspondence to: Denize Atan, School of Clinical sciences, Bristol Eye Hospital, Lower Maudlin Street, Bristol, BS1 2LX, UK; Phone: 0117 331 2032; FAX: 0117 928 1421; email: Denize.Atan@bristol.ac.uk.

Abstract

Purpose: Idiopathic intermediate uveitis (IIU) is a potentially sight-threatening inflammatory disorder with well-defined anatomic diagnostic criteria. It is often associated with multiple sclerosis, and both conditions are linked to HLA-DRB1*15. Previously, we have shown that non-infectious uveitis (NIU) is associated with interleukin 10 (IL10) polymorphisms, IL10-2849A (rs6703630), IL10+434T (rs2222202), and IL10+504G (rs3024490), while a LTA+252AA/TNFA-238GG haplotype (rs909253/rs361525) is protective. In this study, we determined whether patients with IIU have a similar genetic profile as patients with NIU or multiple sclerosis.

Methods: Twelve polymorphisms were genotyped, spanning the tumor necrosis factor (TNF) and IL10 genomic regions, in 44 patients with IIU and 92 population controls from the UK and the Republic of Ireland.

Results: IIU was strongly associated with the TNFA-308A and TNFA-238A polymorphisms. We found the combination of TNFA-308 and -238 loci was more strongly associated with IIU than any other loci across the major histocompatibility complex, including HLA-DRB1.

Conclusions: TNF polymorphisms, associated with increased TNF production, are highly associated with IIU. These results offer the potential to ascribe therapeutic response and risk (i.e., the influence of HLA-DRB1*15 status and TNFR1 polymorphism) to anti-TNF therapy in IIU.

Introduction

Intermediate uveitis is an anatomically defined diagnosis, reserved for patients who have intraocular inflammation primarily involving the vitreous, peripheral retina, and pars plana [1]. Intermediate uveitis is a common presentation to general ophthalmology practice, particularly among children [2], with a population prevalence of 1.4/100,000 [3]. Generally, the onset is insidious with symptoms of blurred vision and floaters, and remission is infrequent and transitory. Vision loss is most commonly caused by chronic cystoid macular edema or secondary glaucoma [4].

The diagnosis of idiopathic intermediate uveitis (IIU) is restricted to patients in whom there is no evidence of infection; pars planitis refers to a subset with concomitant snowball formation or pars plana exudation (snowbanking) [2]. The presenting clinical phenotype overlaps with infectious causes of uveitis, including syphilis, tuberculosis, Lyme disease, cat-scratch fever, toxoplasmosis, Whipple's disease, Epstein-Barr virus, human T lymphotropic virus type I, and human immunodeficiency virus. Furthermore, intermediate uveitis is commonly associated with several diseases that span the full spectrum of the autoimmune-autoinflammatory (AI) immunological disease continuum [5], such as sarcoidosis, multiple sclerosis (MS), thyroid disease, and inflammatory bowel disease (IBD) [6]. Moreover, the familial aggregation of cases with IIU and other AI diseases suggests the existence of common genetic variants that underlie susceptibility to AI disease and/or a common environmental agent [7-13]. While unconfirmed, a general hypothesis is that an infectious foreign agent (virus or bacterium) systemically activates self-reactive T-cells in genetically susceptible individuals. The mechanisms by which this occurs are likely to involve molecular mimicry or non-specific bystander activation of self-reactive T-cells that home to the eye, leading to chronic, relapsing, or recurrent intraocular inflammatory disease [14].

The connection between IIU and MS merits further interrogation because both have been associated with the HLA-DRB1*15 antigen, a subtype of DR2 [15,16]. MS develops in 14% to 16.2% of patients with IIU, and either disease can precede the other [16,17]. In one study, 31% of patients with IIU who were HLA-DRB1*15+ also had MS, and 25% had a positive family history of MS [15]. Patients with MS have autoreactive T-cells and antibodies directed against glial proteins, such as myelin basic protein, that are associated with actively demyelinating lesions [18]. Glial proteins are also detected in snowbanks [8]. The inference is that patients with MS and IIU have autoreactive T-cells directed toward a common glial epitope.

The experimental models of uveitis (experimental autoimmune uveoretinitis, EAU) and MS (experimental autoimmune encephalomyelitis, EAE) share many common features; in particular, the detrimental role of tumor necrosis factor-α (TNFα). A consistent feature of EAU is the increased TNFα expression found in inflammatory cell infiltrates [19,20], and similarly, high levels of TNFα are found in MS lesion sites in patients with MS [21]. Furthermore, cerebrospinal fluid levels of TNFα are increased in chronic progressive MS compared with controls and correlate with disease severity [22]. Consequently, anti-TNFα monoclonal antibodies and a TNF receptor 1:immunoglobulin G fusion protein to ameliorate disease were tested in EAU and EAE with promising results [23,24]. Although anti-TNFα therapies translate effectively to the clinic for uveitis [25], this is not the case for patients with MS in whom anti-TNFα agents worsen disease and precipitate demyelination in others [26]. As a result, the administration of anti-TNFα therapy to patients with IIU has been somewhat more tentative. However, treatment successes with anti-TNFα therapy for patients with IIU have been reported [27,28], while others have described episodes of central nervous system demyelination in patients with IIU for the first time following anti-TNF therapy [29-31].

Previously, we have shown that specific genotypes in three haplotype-tagging single nucleotide polymorphisms (htSNPs) in the IL10 gene (rs6703630, rs2222202, and rs3024490) are significantly associated with susceptibility to non-infectious uveitis (NIU), while a LTA+252AA/TNFA-238GG haplotype (rs909253 and rs361525) is protective [7]. Moreover, patients with two closely overlapping white dot syndromes, punctuate inner choroidopathy (PIC) and multifocal choroiditis with panuveitis (MFCPU), demonstrated identical associations with the IL10 haplotype, IL10-2849AX/+434TC, that were not observed in other subgroups [32]. MFCPU and PIC fall under the SUN (Standardized Uveitis Nomenclature) Working Group classification of posterior uveitis with clinical evidence of multifocal choroiditis [1], and both disorders are characterized by inflammatory microgranulomata at the chorioretinal interface [33]. Hence, our data on the genetic profile of these patients suggested that MFCPU and PIC may be manifestations of the same disease [32].

In this report, we sought to further interrogate our study population to determine whether patients with IIU (which is also defined anatomically by the SUN Working Group) demonstrate a characteristic genetic profile that differs from that of patients with non-specific NIU. In addition, we were interested to know whether this profile was similar to genetic associations identified previously in patients with MS.

Methods

Subjects

One hundred and thirty-six subjects in good general health (45 male, 91 female; age range 21-89 years’ old) were recruited from three regional centers in Bristol (Bristol Eye Hospital), Aberdeen (Grampian University Hospitals), and Dublin (The Royal Victoria Eye and Ear Hospital) as part of a larger study [7]. Ethical approval was given by each center, and the study adhered to the tenets of the Declaration of Helsinki. All subjects were white Caucasians of British or Irish descent for at least two generations.

Informed consent was obtained from all participants (44 patients, 92 controls), after the nature and possible consequences of the study were explained. All subjects were given a full ophthalmic examination for diagnostic evaluation according to the guidelines of the SUN Working Group [1]. All patients managed at the three regional centers had routine diagnostic and pretreatment investigations as part of the previous study [7]. Forty-four patients diagnosed with IIU were included in the study, of whom nine had pars planitis characterized by snowbanking. They were consecutively recruited over a five-year period between 2002 and 2007 from regional uveitis clinics at the three centers. Patients with coexisting MS were excluded, as were patients with any underlying etiology for intermediate uveitis (e.g., sarcoidosis) based on their pretreatment investigations. Control subjects were examined to ensure that they had no evidence of preexisting inflammatory eye disease. They were excluded if they had any eye-specific disorder or systemic disease with a significant immunogenetic etiology, including known associations with cytokine gene polymorphisms (e.g., age-related macular degeneration, glaucoma, type 1 diabetes mellitus [T1D], ankylosing spondylitis, rheumatoid arthritis, systemic lupus erythematosus, chronic obstructive pulmonary disease, ischemic heart disease, neoplasia).

Genotype associations were determined for three parameters of disease severity

1. Ocular remission, using SUN guidelines [1].

2. Maintenance immunosuppression, defined as the most recent combination of immunosuppressants to consistently control disease activity for at least three months, with no increase in immunosuppression during this period (more fully described elsewhere) [7].

3. Visual outcome, assessed by (a) visual acuity (VA) at the census date and (b) change in VA from disease onset to the census date (defined, according to SUN guidelines, as a decrease in Snellen VA of >3 lines) [1].

Genotyping

HtSNPs in the IL10 and TNF genomic regions were selected and genotyped using published methods [7], and Hardy–Weinberg probabilities were calculated for the larger cohort [7]. The TNFd microsatellite polymorphism was genotyped as previously described [34,35]. HLA class I (A, B, and C) and II (DRB1 and DQB1) typing was performed using sequence specific primers (SSP–PCR) at medium resolution [36]. Sequence accession numbers were NT_021877 for IL10 and NT_007592 for TNFA.

Statistical analyses

Demographic information, clinical course parameters, patient, and control genotype distributions were compared between dichotomous groups using the two-tailed χ2 test (chi-square) or Fisher’s exact test where appropriate, using SPSS 14.0 (SPSS UK Ltd, Woking, UK) and UNPHASED [37]. Snellen VAs were converted to logMAR for analyses. Distributions of ordinal phenotypic characteristics were compared using the Kruskal–Wallis non-parametric test, and for continuous characteristics using the two-tailed Student t test in SPSS.

Associations across the major histocompatibility complex (MHC) were determined using UNPHASED [37]. UNPHASED uses an expectation-maximization (EM) algorithm to perform the likelihood ratio X2 test on case-control data with the advantage that this algorithm can handle multiallelic MHC data [37]. The genetic models that best explained significant genetic associations with IIU were determined using PLINK 1.07 [38]. Haplotype associations were also determined in PLINK, which is limited to biallelic SNPs.

The Bonferroni correction was applied to genotypic data to adjust for the number of comparisons (n=total number of loci or haplotypes) and assumes that the statistical comparisons are independent. Odds ratios were calculated in OpenEpi version 2.3.1 [39]. Since the population prevalence of IIU is relatively low at 1.4/100,000 in a European cohort similar to the UK [3], we predicted the relative risk of IIU to approximate the odds ratio.

Sample sizes were calculated using OpenEpi based on the published minor allele frequencies in a European cohort of the SNPs (HapMap CEU cohort) and TNFd microsatellite polymorphisms (a UK cohort) under investigation [35,40]. Based on these published data, our study had 80% power to detect differences in allele frequency between patients and controls with a minimum odds ratio of 3.0 and with 95% confidence levels.

Results

The demographics of the IIU and control groups were similar for age and sex with no significant differences (Table 1). As we have found previously, there was a high prevalence of AI disease in patients’ self-reported personal medical histories (29.5% versus 0% in controls) and family history (20.5% versus 5.4% in controls) [7]. The conditions that patients reported in their personal histories were non-specified arthritis/arthralgia (four patients), asthma (three patients), primary hyperthyroidism/hypothyroidism (two patients), primary hypoparathyroidism (one patient), fibromyalgia (one patient), psoriasis and arthritis (one patient), and type 2 diabetes mellitus (T2D, one patient). In the family histories, only one patient had a relative with MS, and another had a family member who was also affected by IIU. Other conditions reported by patients in their family history were T2D (one patient), celiac disease (one patient), rheumatoid arthritis (two patients), non-specified arthritis (one patient), inflammatory bowel disease (one patient), and primary hyperthyroidism (one patient). Five controls had a family history of AI disease: four were unaffected relatives of patients in the study, and one had a strong family history of arthritis.

Idiopathic intermediate uveitis is associated with tumor necrosis factor polymorphisms

Lymphotoxin alpha (LTA), TNFA, and TNFd are located within the class III region of the MHC on chromosome 6p21.3. Hence, we used UNPHASED to analyze associations between loci across this region and IIU since UNPHASED can handle data from multiallelic SNPs and can model associations to determine which loci are primarily associated with disease among several linked loci. We also included SNPs within the IL10 complex on chromosome 1.

Using UNPHASED, we found that loci TNFA-308, TNFA-238, HLA-DRB1, and HLADQB were associated with IIU, but only the associations with TNFA-308 and TNFA-238 remained significant after correction for multiple comparisons (Table 2). Since a specific TNFA promoter allele contains TNFA-308A, and a LTA promoter allele contains LTA+252G in several combined HLA-TNFA-LTA haplotypes, including the HLA 8.1 ancestral haplotype (A1, B8, DR3) [41], and since HLA-DRB1*17 is a subtype of HLA-DR3, we looked for a similar combined HLA-TNFA-LTA haplotype demonstrating an association with IIU. Nonetheless, no combined haplotype demonstrated significant association with disease in our cohort (data not shown). Moreover, in further modeling analyses in UNPHASED, we conditioned on TNFA-308, TNFA-238, HLA-DRB1, and HLA-DQB, either singly or combination. In these analyses, the combination of loci, TNFA-308 and TNFA-238, was the most significantly associated with IIU throughout (p<0.00001), suggesting that the associations were explained solely by these two loci. Although HLA-DRB1*15 (17.9% versus 15.5% in controls, puncorr=0.63) and HLA-DRB1*17 (19.1% versus 10.9% in controls, puncorr=0.07) were the most prevalent HLA-DRB1 alleles, individually they were not significantly associated with disease in this cohort.

The associations between IIU and the TNFA-308 (rs1800629) and TNFA-238 (rs361525) loci were best explained by an allelic (additive) genetic model in which the minor alleles, TNFA-308A (pc=0.0042) and TNFA-238A (pc=0.0019), were significantly associated with IIU (Table 3). Analyses using either a dominant or recessive model for the associations between TNFA-308 and TNFA-238 with IIU in PLINK were not significant (data not shown).

Given the allelic associations between the TNFA-308 and TNFA-238 loci with IIU, and the significant association between the two combined loci and IIU in our modeling analyses in UNPHASED, we investigated combined allelic haplotypes of the two loci. In these analyses, we found the TNFA-308G/TNFA-238G haplotype was the most significantly protective haplotype (50.9% in patients versus 80.4% in controls, pc=000004), i.e., negatively associated with disease (Table 4). No IL10 SNP genotypes were associated with disease after correction for multiple comparisons (Table 2).

Tumor necrosis factor and interleukin 10 polymorphisms are not associated with severity of disease

There were no significant genotype associations with our three parameters of disease severity after correction for multiple comparisons, including (i) ocular remission, (ii) the requirement for and level of maintenance immunosuppression, and (iii) visual outcome in terms of absolute logMAR VA and decrease in VA of >3 lines at the census date. Since other investigators have found a correlation between the IL10-1082AA genotype and poor visual outcome in patients with IIU (VA<6/12 in both eyes while quiescent, five years after presentation) [42], we asked whether there was a similar correlation in our cohort of patients. In fact, there was no association between the IL10-1082 genotype and visual outcome (puncorr=0.113 for VA decrease >3 lines with Fisher’s exact test; puncorr=0.796 for logMAR VA at census date with the Kruskal–Wallis test). Of 38/44 IIU patients with bilateral disease, seven patients experienced a decrease in visual acuity by >3 lines in at least one eye and one patient in both eyes, between disease onset and the census date, an average follow-up period of 10.6 years (range 4.7 to 36.5 years). The latter was the only patient to have a Snellen VA <6/12 in both eyes at the census date due to glaucoma and chronic cystoid macular edema, despite previous treatment with high-dose prednisolone, cyclosporine, tacrolimus, mycophenolate mofetil, azathioprine, and methotrexate. This patient had an IL10-1082AG genotype. In fact, no patients with a VA<6/12 in at least one eye or decrease in VA>3 lines by the census date had an IL10-1082AA genotype.

Discussion

The results of this study have shown that IIU is strongly associated with polymorphisms of the TNFA-308 and -238 loci and that these associations appear to be independent of HLA-DRB1*15 and the ancestral haplotype, HLA-A1, B8, DR3. The relationship is best explained with an allelic model, in which the TNFA-308A and TNFA-238A minor alleles are associated with IIU. Moreover, the combined TNFA-308G/-238G haplotype confers resistance to IIU (pc=0.000004). Collectively, these results are enticing since the TNFA-308 and TNFA-238 loci have been shown to influence TNF production levels and have been associated with several other diseases on the AI immunological disease continuum [43].

Our results are consistent with previous work that has shown that the LTA+252AA/TNFA-238GG haplotype is negatively associated with non-infectious uveitis (p=0.00031) in a cohort where patients with six different uveitic syndromes contributed equally to the analyses [7]. Moreover, two white dot syndromes, PIC and MFCPU, demonstrated an extended LT-TNF haplotypic association with disease [32]. Yet none of the other uveitic syndromes in our original study, including Behçet’s disease, sarcoidosis, and sympathetic ophthalmia, demonstrated significant associations with the TNFA-238 and TNFA-308 loci that were independent of their HLA associations, for example, sympathetic ophthalmia with HLA-DRB1*04 [7,32,44](data not shown). HLA-B27 is a well-recognized susceptibility allele for idiopathic anterior uveitis and linkage disequilibrium between HLA-B27 and other variants within the human MHC known to confound analyses for additional susceptibility loci in this region. Several previous studies investigating the prevalence of TNF polymorphisms in patients with anterior uveitis have suggested genetic associations, but the inconsistent outcomes may be a result of heterogenous patient cohorts with a mixed number of underlying systemic disease associations or incomplete stratification analyses for HLA-B27 in patient and control groups [45-47].

The investigation of genetic influences on TNF production is also complicated by the location of the TNF gene cluster within the MHC, the most polymorphic region of the human genome [48]. Only 1.2 kb separates the polyadenylation site of LTA and the transcription start site of TNFA within the TNF gene cluster of the MHC class III region, genes that encode the structurally homologous inflammatory cytokines, LTα and TNFα. Moreover, examples of long-range linkage disequilibrium (LD), extending more than 2 Mb, arise in a subset of MHC haplotypes because of LD between tightly linked segments of strong LD creating a unique microstructure [49,50]. Consequently, the TNFA-308A polymorphism is often linked to the LTA+252G polymorphism in several combined HLA-TNF-LT haplotypes, including the HLA 8.1 ancestral haplotype (A1, B8, DR3) [41] that has repeatedly been associated with higher TNF production levels and many immunopathological diseases [43,51-57].

Why some studies have failed to demonstrate a correlation between polymorphisms of TNFA and TNFα production levels might be partly attributed to the chance representation of different subsets of haplotypes in each study, and partly due to differences in experimental methods, including the cell-type investigated, culture conditions, type of stimulant used (if any), and means of measurement [56]. Analyzing chromatin structure is one method for determining regions of a gene involved in transcriptional activation, and DNase I hypersensitivity (HS) sites represent nucleosome-free regions of a gene that are accessible to transcription factors as well as the DNase I endonuclease [58-60]. DNase I HS sites within regions of a gene demonstrating a high degree of DNA sequence conservation with other species, known as conserved non-coding sequences, are most likely to represent important regulatory sequences. Consequently, it is relevant that the proximal TNFA and LTA promoters are highly conserved between species, and constitutively active DNase I HS sites have been identified in these regions in human monocyte and T-cell lines, whereas other inducible HS sites are cell-type and stimulus dependent [61-66]. Although further regulatory elements have been identified in conserved non-coding sequences elsewhere in the TNF gene cluster [62,67-71], the LTA and TNF proximal promoter regions attain the highest conservation scores. Moreover, the TNFA-308 polymorphism appears to affect transcription factor binding and TNF transcriptional activity in a cell-type and stimulus-specific fashion [72]. These data from functional chromatin studies combined with the evidence from disease association studies further implicate this region of the MHC in the immunopathogenesis of several AI diseases. However, the relevance of specific polymorphisms in disease pathogenesis likely depends on the importance of the cell-type and stimulatory conditions in which the polymorphisms have most influence. Although one limitation of this study is that we did not include an analysis of TNF production levels based on patient genotype, this would clearly require a systematic investigation of the response of different leucocyte subclasses to varying stimuli before and after systemic immunosuppression is administered, which is beyond the scope of this report.

Perhaps for this reason, the role of TNF in the pathogenesis of AI disease is not always straightforward. The timing and duration of TNF expression are important in determining the pathogenic versus protective roles of TNF, since prolonged TNF exposure can activate antigen-presenting cells (APCs), augment antigen-presentation capability, and upregulate the expression of costimulatory molecules, while in other situations, TNF can inhibit the function of mature dendritic cells (DCs), induce their apoptosis, and impair antigen presentation [73]. In addition, exposure of DCs to TNFα in vitro has the capacity to induce a tolerogenic “semimature” functional phenotype on these cells, which can themselves secrete further TNFα to act in an autocrine fashion. When administered in vivo, TNFα-activated semimature DCs critically depend on the microenvironment to determine whether they remain tolerogenic or become immunogenic [74-77]. Hence, APCs are influenced by environmental cytokine signals that can promote either immunity or tolerance depending on their timing. These data might explain the paradoxical effects of anti-TNF therapy in MS. In comparison to IIU, the HLA class II region contributes most to genetic susceptibility to MS by linkage, case-control, and genome-wide association studies [78-82], while the link between TNF polymorphisms and MS remains contentious: TNFA-308A was significantly associated with reduced risk of MS in one large meta-analysis [83], but not another [84]. Since anti-TNF therapy for Crohn’s disease and rheumatoid arthritis (conditions not known to be linked to MS) have been reported to precipitate subsequent demyelination [85-88], low levels of TNF per se, whether due to TNF blockade or genetic factors, may be the major risk for demyelination [89], and systemic anti-TNF therapy for IIU might present the same risk. MS patients with a TNF receptor 1 (TNFR1) polymorphism, rs1800693, may be at particular risk of an adverse response to anti-TNF treatment because this SNP results in a soluble TNFR1 isoform that naturally antagonizes the action of TNF [89]. Whether this SNP is also predictive of demyelination after anti-TNF therapy in patients with IIU remains to be determined. Nevertheless, the data suggest that TNF has different roles in initiating and maintaining the two disorders: high levels increase the risk of IIU, and low levels increase the risk of demyelination; in addition, these levels are determined by several genetic factors, such as TNF and TNFR1 polymorphisms, and environmental factors such as exposure to anti-TNF therapy.

In comparison, IL10 polymorphisms appeared to have less influence on IIU susceptibility in our cohort. IL10 has mainly anti-inflammatory properties: it downregulates the expression of MHC class II and costimulatory molecules, inhibits the maturation of DCs, and inhibits the release of proinflammatory cytokines, resulting in the suppression of Th1 cell responses [90-93]. Furthermore, IL10 production by antigen-specific CD4+ Tregs is enhanced by IL10 [94]. Nevertheless, we did not detect an association between IL10-1082AA and poor visual outcome, as reported previously [42]. Neither was there an association between IL10-1082 and change in visual acuity from disease onset to the census date. One caveat is that 33/102 patients in the previous report had a Snellen VA <6/12 in both eyes after five years of follow-up [42], while only 1/44 patients met these criteria in our cohort. Although we predicted a change in visual acuity would be a better predictor of disease severity, it is likely that both visual outcome measures are confounded by coexisting ocular disease, differences in treatment regimen, and response to treatment between patients.

A further limitation of this study is that patients with coexistent MS were excluded from the outset, and none of our cohort developed MS during the follow-up period. Furthermore, only 2/44 patients were on anti-TNF therapy during the period of the study, and neither patient developed central nervous system demyelination. Nevertheless, the strong association of TNF haplotypes with IIU demonstrates the future need to investigate further their correlation with TNF expression, disease severity, and response to treatment with anti-TNF agents. Additionally, the association is important in driving a future ability to tailor therapy to those who will benefit, and to investigate further the relationship in the context of HLA-DRB1*15 status and TNFR1 polymorphism, to direct treatment to those that will demonstrate maximum benefit, but also to ensure no adverse effects (as demonstrated in MS).

Acknowledgments

This research was supported by funding from the National Eye Research Centre, SCAID 037/RJ4260, and Medical Research Committee of the Charitable Trusts of the United Bristol Hospitals, reference 287. The authors have no competing financial interests.

References

  1. Jabs DA, Nussenblatt RB, Rosenbaum JT. Standardization of uveitis nomenclature for reporting clinical data. Results of the First International Workshop. Am J Ophthalmol. 2005; 140:509-16. [PMID: 16196117]
  2. Boyd SR, Young S, Lightman S. Immunopathology of the noninfectious posterior and intermediate uveitides. Surv Ophthalmol. 2001; 46:209-33. [PMID: 11738429]
  3. Päivönsalo-Hietanen T, Tuominen J, Vaahtoranta-Lehtonen H, Saari KM. Incidence and prevalence of different uveitis entities in Finland. Acta Ophthalmol Scand. 1997; 75:76-81. [PMID: 9088407]
  4. Bonfioli AA, Damico FM, Curi AL, Orefice F. Intermediate uveitis. Semin Ophthalmol. 2005; 20:147-54. [PMID: 16282148]
  5. McGonagle D, McDermott MF. A proposed classification of the immunological diseases. PLoS Med. 2006; 3:e297 [PMID: 16942393]
  6. Boskovich SA, Lowder CY, Meisler DM, Gutman FA. Systemic diseases associated with intermediate uveitis. Cleve Clin J Med. 1993; 60:460-5. [PMID: 8287507]
  7. Atan D, Fraser-Bell S, Plskova J, Kuffova L, Hogan A, Tufail A, Kilmartin DJ, Forrester JV, Bidwell J, Dick AD, Churchill AJ. Cytokine polymorphism in noninfectious uveitis. Invest Ophthalmol Vis Sci. 2010; 51:4133-42. [PMID: 20335604]
  8. Wetzig RP, Chan CC, Nussenblatt RB, Palestine AG, Mazur DO, Mittal KK. Clinical and immunopathological studies of pars planitis in a family. Br J Ophthalmol. 1988; 72:5-10. [PMID: 3257703]
  9. Augsburger JJ, Annesley WH, , Jr Sergott RC, Felberg NT, Bowman JH, Raymond LA. Familial pars planitis. Ann Ophthalmol. 1981; 13:553-7. [PMID: 7258948]
  10. Biswas J, Raghavendran SR, Vijaya R. Intermediate uveitis of pars planitis type in identical twins. Report of a case. Int Ophthalmol. 1998; 22:275-7. [PMID: 10826543]
  11. Culbertson WW, Giles CL, West C, Stafford T. Familial pars planitis. Retina. 1983; 3:179-81. [PMID: 6635352]
  12. Duinkerke-Eerola KU, Pinckers A, Cruysberg JR. Pars planitis in father and son. Ophthalmic Paediatr Genet. 1990; 11:305-8. [PMID: 2096359]
  13. Tejada P, Sanz A, Criado D. Pars planitis in a family. Int Ophthalmol. 1994; 18:111-3. [PMID: 7814201]
  14. Forrester JV. Intermediate and posterior uveitis. Chem Immunol Allergy. 2007; 92:228-43. [PMID: 17264499]
  15. Tang WM, Pulido JS, Eckels DD, Han DP, Mieler WF, Pierce K. The association of HLA-DR15 and intermediate uveitis. Am J Ophthalmol. 1997; 123:70-5. [PMID: 9186099]
  16. Raja SC, Jabs DA, Dunn JP, Fekrat S, Machan CH, Marsh MJ, Bressler NM. Pars planitis: clinical features and class II HLA associations. Ophthalmology. 1999; 106:594-9. [PMID: 10080220]
  17. Malinowski SM, Pulido JS, Folk JC. Long-term visual outcome and complications associated with pars planitis. Ophthalmology. 1993; 100:818-24.-, discussion 25. [PMID: 8510893]
  18. Genain CP, Cannella B, Hauser SL, Raine CS. Identification of autoantibodies associated with myelin damage in multiple sclerosis. Nat Med. 1999; 5:170-5. [PMID: 9930864]
  19. Okada AA, Keino H, Fukai T, Sakai J, Usui M, Mizuguchi J. Effect of type I interferon on experimental autoimmune uveoretinitis in rats. Ocul Immunol Inflamm. 1998; 6:215-26. [PMID: 9924918]
  20. Okada AA, Sakai J, Usui M, Mizuguchi J. Intraocular cytokine quantification of experimental autoimmune uveoretinitis in rats. Ocul Immunol Inflamm. 1998; 6:111-20. [PMID: 9689641]
  21. Hofman FM, Hinton DR, Johnson K, Merrill JE. Tumor necrosis factor identified in multiple sclerosis brain. J Exp Med. 1989; 170:607-12. [PMID: 2754393]
  22. Sharief MK, Hentges R. Association between tumor necrosis factor-alpha and disease progression in patients with multiple sclerosis. N Engl J Med. 1991; 325:467-72. [PMID: 1852181]
  23. Körner H, Lemckert FA, Chaudhri G, Etteldorf S, Sedgwick JD. Tumor necrosis factor blockade in actively induced experimental autoimmune encephalomyelitis prevents clinical disease despite activated T cell infiltration to the central nervous system. Eur J Immunol. 1997; 27:1973-81. [PMID: 9295034]
  24. Dick AD, McMenamin PG, Korner H, Scallon BJ, Ghrayeb J, Forrester JV, Sedgwick JD. Inhibition of tumor necrosis factor activity minimizes target organ damage in experimental autoimmune uveoretinitis despite quantitatively normal activated T cell traffic to the retina. Eur J Immunol. 1996; 26:1018-25. [PMID: 8647162]
  25. Murphy CC, Greiner K, Plskova J, Duncan L, Frost A, Isaacs JD, Rebello P, Waldmann H, Hale G, Forrester JV, Dick AD. Neutralizing tumor necrosis factor activity leads to remission in patients with refractory noninfectious posterior uveitis. Arch Ophthalmol. 2004; 122:845-51. [PMID: 15197059]
  26. Kollias G, Douni E, Kassiotis G, Kontoyiannis D. The function of tumour necrosis factor and receptors in models of multi-organ inflammation, rheumatoid arthritis, multiple sclerosis and inflammatory bowel disease. Ann Rheum Dis. 1999; 58Suppl 1:I32-9. [PMID: 10577971]
  27. Markomichelakis NN, Theodossiadis PG, Pantelia E, Papaefthimiou S, Theodossiadis GP, Sfikakis PP. Infliximab for chronic cystoid macular edema associated with uveitis. Am J Ophthalmol. 2004; 138:648-50. [PMID: 15488796]
  28. Murphy CC, Ayliffe WH, Booth A, Makanjuola D, Andrews PA, Jayne D. Tumor necrosis factor alpha blockade with infliximab for refractory uveitis and scleritis. Ophthalmology. 2004; 111:352-6. [PMID: 15019389]
  29. Papadia M, Herbort CP. Infliximab-induced demyelination causes visual disturbance mistaken for recurrence of HLA-B27-related uveitis. Ocul Immunol Inflamm. 2010; 18:482-4. [PMID: 20735341]
  30. Li SY, Birnbaum AD, Goldstein DA. Optic neuritis associated with adalimumab in the treatment of uveitis. Ocul Immunol Inflamm. 2010; 18:475-81. [PMID: 20809867]
  31. Sczesny-Kaiser M, Veit M, Heinz C, Heiligenhaus A, Tegenthoff M, Schwenkreis P. Manifestation of multiple sclerosis under treatment with infliximab for intermediate uveitis. Nervenarzt. 2011; 82:509-10. [PMID: 21153465]
  32. Atan D, Fraser-Bell S, Plskova J, Kuffova L, Hogan A, Tufail A, Kilmartin DJ, Forrester JV, Bidwell JL, Dick AD, Churchill AJ. Punctate inner choroidopathy and multifocal choroiditis with panuveitis share haplotypic associations with IL10 and TNF loci. Invest Ophthalmol Vis Sci. 2011; 52:3573-81. [PMID: 21357402]
  33. Ben Ezra D, Forrester JV. Fundal white dots: the spectrum of a similar pathological process. Br J Ophthalmol. 1995; 79:856-60. [PMID: 7488606]
  34. Udalova IA, Nedospasov SA, Webb GC, Chaplin DD, Turetskaya RL. Highly informative typing of the human TNF locus using six adjacent polymorphic markers. Genomics. 1993; 16:180-6. [PMID: 8486354]
  35. Spink CF, Keen LJ, Middleton PG, Bidwell JL. Discrimination of suballeles present at the TNFd microsatellite locus using induced heteroduplex analysis. Genes Immun. 2004; 5:76-9. [PMID: 14735154]
  36. Bunce M, O'Neill CM, Barnardo MC, Krausa P, Browning MJ, Morris PJ, Welsh KI. Phototyping: comprehensive DNA typing for HLA-A, B, C, DRB1, DRB3, DRB4, DRB5 & DQB1 by PCR with 144 primer mixes utilizing sequence-specific primers (PCR-SSP). Tissue Antigens. 1995; 46:355-67. [PMID: 8838344]
  37. Dudbridge F. Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data. Hum Hered. 2008; 66:87-98. [PMID: 18382088]
  38. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, Maller J, Sklar P, de Bakker PIW, Daly MJ, Sham PC. PLINK: a toolset for whole-genome association and population-based linkage analysis. Am J Hum Genet. 2007; 81:559-75. [PMID: 17701901]
  39. Dean AG, Sullivan KM, Soe MM. OpenEpi: Open Source Epidemiologic Statistics for Public Health, Version 2.3.1. URL: www.OpenEpi.com, updated 2011/23/06.
  40. The International HapMap Consortium. A Haplotype Map of the Human Genome. Nature. 2005; 437:1299-320. [PMID: 16255080]
  41. Posch PE, Cruz I, Bradshaw D, Medhekar BA. Novel polymorphisms and the definition of promoter 'alleles' of the tumor necrosis factor and lymphotoxin alpha loci: inclusion in HLA haplotypes. Genes Immun. 2003; 4:547-58. [PMID: 14647194]
  42. Stanford MR, Vaughan RW, Kondeatis E, Chen Y, Edelsten CE, Graham EM, Wallace GR. Are cytokine gene polymorphisms associated with outcome in patients with idiopathic intermediate uveitis in the United Kingdom? Br J Ophthalmol. 2005; 89:1013-6. [PMID: 16024856]
  43. Haukim N, Bidwell JL, Smith AJ, Keen LJ, Gallagher G, Kimberly R, Huizinga T, McDermott MF, Oksenberg J, McNicholl J, Pociot F, Hardt C, D'Alfonso S. Cytokine gene polymorphism in human disease: on-line databases, supplement 2. Genes Immun. 2002; 3:313-30. [PMID: 12209358]
  44. Atan D, Turner SJ, Kilmartin DJ, Forrester JV, Bidwell J, Dick AD, Churchill AJ. Cytokine gene polymorphism in sympathetic ophthalmia. Invest Ophthalmol Vis Sci. 2005; 46:4245-50. [PMID: 16249504]
  45. El-Shabrawi Y, Wegscheider BJ, Weger M, Renner W, Posch U, Ulrich S, Ardjomand N, Hermann J. Polymorphisms within the tumor necrosis factor-alpha promoter region in patients with HLA-B27-associated uveitis: association with susceptibility and clinical manifestations. Ophthalmology. 2006; 113:695-700. [PMID: 16581430]
  46. Menezo V, Bond SK, Towler HM, Kuo NW, Baharlo B, Wilson AG, Lightman S. Cytokine gene polymorphisms involved in chronicity and complications of anterior uveitis. Cytokine. 2006; 35:200-6. [PMID: 17005410]
  47. Kuo NW, Lympany PA, Menezo V, Lagan AL, John S, Yeo TK, Liyanage S, du Bois RM, Welsh KI, Lightman S. TNF-857T, a genetic risk marker for acute anterior uveitis. Invest Ophthalmol Vis Sci. 2005; 46:1565-71. [PMID: 15851552]
  48. Mungall AJ, Palmer SA, Sims SK, Edwards CA, Ashurst JL, Wilming L, Jones MC, Horton R, Hunt SE, Scott CE, Gilbert JG, Clamp ME, Bethel G, Milne S, Ainscough R, Almeida JP, Ambrose KD, Andrews TD, Ashwell RI, Babbage AK, Bagguley CL, Bailey J, Banerjee R, Barker DJ, Barlow KF, Bates K, Beare DM, Beasley H, Beasley O, Bird CP, Blakey S, Bray-Allen S, Brook J, Brown AJ, Brown JY, Burford DC, Burrill W, Burton J, Carder C, Carter NP, Chapman JC, Clark SY, Clark G, Clee CM, Clegg S, Cobley V, Collier RE, Collins JE, Colman LK, Corby NR, Coville GJ, Culley KM, Dhami P, Davies J, Dunn M, Earthrowl ME, Ellington AE, Evans KA, Faulkner L, Francis MD, Frankish A, Frankland J, French L, Garner P, Garnett J, Ghori MJ, Gilby LM, Gillson CJ, Glithero RJ, Grafham DV, Grant M, Gribble S, Griffiths C, Griffiths M, Hall R, Halls KS, Hammond S, Harley JL, Hart EA, Heath PD, Heathcott R, Holmes SJ, Howden PJ, Howe KL, Howell GR, Huckle E, Humphray SJ, Humphries MD, Hunt AR, Johnson CM, Joy AA, Kay M, Keenan SJ, Kimberley AM, King A, Laird GK, Langford C, Lawlor S, Leongamornlert DA, Leversha M, Lloyd CR, Lloyd DM, Loveland JE, Lovell J, Martin S, Mashreghi-Mohammadi M, Maslen GL, Matthews L, McCann OT, McLaren SJ, McLay K, McMurray A, Moore MJ, Mullikin JC, Niblett D, Nickerson T, Novik KL, Oliver K, Overton-Larty EK, Parker A, Patel R, Pearce AV, Peck AI, Phillimore B, Phillips S, Plumb RW, Porter KM, Ramsey Y, Ranby SA, Rice CM, Ross MT, Searle SM, Sehra HK, Sheridan E, Skuce CD, Smith S, Smith M, Spraggon L, Squares SL, Steward CA, Sycamore N, Tamlyn-Hall G, Tester J, Theaker AJ, Thomas DW, Thorpe A, Tracey A, Tromans A, Tubby B, Wall M, Wallis JM, West AP, White SS, Whitehead SL, Whittaker H, Wild A, Willey DJ, Wilmer TE, Wood JM, Wray PW, Wyatt JC, Young L, Younger RM, Bentley DR, Coulson A, Durbin R, Hubbard T, Sulston JE, Dunham I, Rogers J, Beck S. The DNA sequence and analysis of human chromosome 6. Nature. 2003; 425:805-11. [PMID: 14574404]
  49. Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, Higgins J, DeFelice M, Lochner A, Faggart M, Liu-Cordero SN, Rotimi C, Adeyemo A, Cooper R, Ward R, Lander ES, Daly MJ, Altshuler D. The structure of haplotype blocks in the human genome. Science. 2002; 296:2225-9. [PMID: 12029063]
  50. Miretti MM, Walsh EC, Ke X, Delgado M, Griffiths M, Hunt S, Morrison J, Whittaker P, Lander ES, Cardon LR, Bentley DR, Rioux JD, Beck S, Deloukas P. A high-resolution linkage-disequilibrium map of the human major histocompatibility complex and first generation of tag single-nucleotide polymorphisms. Am J Hum Genet. 2005; 76:634-46. [PMID: 15747258]
  51. Price P, Witt C, Allcock R, Sayer D, Garlepp M, Kok CC, French M, Mallal S, Christiansen F. The genetic basis for the association of the 8.1 ancestral haplotype (A1, B8, DR3) with multiple immunopathological diseases. Immunol Rev. 1999; 167:257-74. [PMID: 10319267]
  52. Wilson AG, de Vries N, Pociot F, di Giovine FS, van der Putte LB, Duff GW. An allelic polymorphism within the human tumor necrosis factor alpha promoter region is strongly associated with HLA A1, B8, and DR3 alleles. J Exp Med. 1993; 177:557-60. [PMID: 8426126]
  53. Messer G, Spengler U, Jung MC, Honold G, Blomer K, Pape GR, Riethmuller G, Weiss EH. Polymorphic structure of the tumor necrosis factor (TNF) locus: an NcoI polymorphism in the first intron of the human TNF-beta gene correlates with a variant amino acid in position 26 and a reduced level of TNF-beta production. J Exp Med. 1991; 173:209-19. [PMID: 1670638]
  54. Dawkins RL, Leaver A, Cameron PU, Martin E, Kay PH, Christiansen FT. Some disease-associated ancestral haplotypes carry a polymorphism of TNF. Hum Immunol. 1989; 26:91-7. [PMID: 2573586]
  55. Knight JC, Keating BJ, Rockett KA, Kwiatkowski DP. In vivo characterization of regulatory polymorphisms by allele-specific quantification of RNA polymerase loading. Nat Genet. 2003; 33:469-75. [PMID: 12627232]
  56. Abraham LJ, French MA, Dawkins RL. Polymorphic MHC ancestral haplotypes affect the activity of tumour necrosis factor-alpha. Clin Exp Immunol. 1993; 92:14-8. [PMID: 8096802]
  57. Abraham LJ, Du DC, Zahedi K, Dawkins RL, Whitehead AS. Haplotypic polymorphisms of the TNFB gene. Immunogenetics. 1991; 33:50-3. [PMID: 1671667]
  58. Paranjape SM, Kamakaka RT, Kadonaga JT. Role of chromatin structure in the regulation of transcription by RNA polymerase II. Annu Rev Biochem. 1994; 63:265-97. [PMID: 7979240]
  59. Gross DS, Garrard WT. Nuclease hypersensitive sites in chromatin. Annu Rev Biochem. 1988; 57:159-97. [PMID: 3052270]
  60. Elgin SC. The formation and function of DNase I hypersensitive sites in the process of gene activation. J Biol Chem. 1988; 263:19259-62. [PMID: 3198625]
  61. Taylor JM, Wicks K, Vandiedonck C, Knight JC. Chromatin profiling across the human tumour necrosis factor gene locus reveals a complex, cell type-specific landscape with novel regulatory elements. Nucleic Acids Res. 2008; 36:4845-62. [PMID: 18653526]
  62. Barthel R, Goldfeld AE. T cell-specific expression of the human TNF-alpha gene involves a functional and highly conserved chromatin signature in intron 3. J Immunol. 2003; 171:3612-9. [PMID: 14500658]
  63. Skoog T, Hamsten A, Eriksson P. Allele-specific chromatin remodeling of the tumor necrosis factor-alpha promoter. Biochem Biophys Res Commun. 2006; 351:777-83. [PMID: 17084384]
  64. Sariban E, Imamura K, Luebbers R, Kufe D. Transcriptional and posttranscriptional regulation of tumor necrosis factor gene expression in human monocytes. J Clin Invest. 1988; 81:1506-10. [PMID: 3366904]
  65. Sung SJ, Walters JA, Hudson J, Gimble JM. Tumor necrosis factor-alpha mRNA accumulation in human myelomonocytic cell lines. Role of transcriptional regulation by DNA sequence motifs and mRNA stabilization. J Immunol. 1991; 147:2047-54. [PMID: 1909740]
  66. Espel E, Garcia-Sanz JA, Aubert V, Menoud V, Sperisen P, Fernandez N, Spertini F. Transcriptional and translational control of TNF-alpha gene expression in human monocytes by major histocompatibility complex class II ligands. Eur J Immunol. 1996; 26:2417-24. [PMID: 8898955]
  67. Seiler-Tuyns A, Dufour N, Spertini F. Human tumor necrosis factor-alpha gene 3′ untranslated region confers inducible toxin responsiveness to homologous promoter in monocytic THP-1 cells. J Biol Chem. 1999; 274:21714-8. [PMID: 10419483]
  68. Tsytsykova AV, Rajsbaum R, Falvo JV, Ligeiro F, Neely SR, Goldfeld AE. Activation-dependent intrachromosomal interactions formed by the TNF gene promoter and two distal enhancers. Proc Natl Acad Sci USA. 2007; 104:16850-5. [PMID: 17940009]
  69. Shakhov AN, Collart MA, Vassalli P, Nedospasov SA, Jongeneel CV. Kappa B-type enhancers are involved in lipopolysaccharide-mediated transcriptional activation of the tumor necrosis factor alpha gene in primary macrophages. J Exp Med. 1990; 171:35-47. [PMID: 2104921]
  70. Udalova IA, Knight JC, Vidal V, Nedospasov SA, Kwiatkowski D. Complex NF-kappaB interactions at the distal tumor necrosis factor promoter region in human monocytes. J Biol Chem. 1998; 273:21178-86. [PMID: 9694874]
  71. Kuhnert P, Peterhans E, Pauli U. Chromatin structure and DNase I hypersensitivity in the transcriptionally active and inactive porcine tumor necrosis factor gene locus. Nucleic Acids Res. 1992; 20:1943-8. [PMID: 1579496]
  72. Abraham LJ, Kroeger KM. Impact of the −308 TNF promoter polymorphism on the transcriptional regulation of the TNF gene: relevance to disease. J Leukoc Biol. 1999; 66:562-6. [PMID: 10534109]
  73. Campbell IK, O'Donnell K, Lawlor KE, Wicks IP. Severe inflammatory arthritis and lymphadenopathy in the absence of TNF. J Clin Invest. 2001; 107:1519-27. [PMID: 11413159]
  74. Frick JS, Grunebach F, Autenrieth IB. Immunomodulation by semi-mature dendritic cells: a novel role of Toll-like receptors and interleukin-6. Int J Med Microbiol. 2010; 300:19-24. [PMID: 19781988]
  75. Unger WW, Laban S, Kleijwegt FS, van der Slik AR, Roep BO. Induction of Treg by monocyte-derived DC modulated by vitamin D3 or dexamethasone: differential role for PD-L1. Eur J Immunol. 2009; 39:3147-59. [PMID: 19688742]
  76. Voigtländer C, Rossner S, Cierpka E, Theiner G, Wiethe C, Menges M, Schuler G, Lutz MB. Dendritic cells matured with TNF can be further activated in vitro and after subcutaneous injection in vivo which converts their tolerogenicity into immunogenicity. J Immunother. 2006; 29:407-15. [PMID: 16799336]
  77. Menges M, Rossner S, Voigtlander C, Schindler H, Kukutsch NA, Bogdan C, Erb K, Schuler G, Lutz MB. Repetitive injections of dendritic cells matured with tumor necrosis factor alpha induce antigen-specific protection of mice from autoimmunity. J Exp Med. 2002; 195:15-21. [PMID: 11781361]
  78. Hafler DA, Compston A, Sawcer S, Lander ES, Daly MJ, De Jager PL, de Bakker PI, Gabriel SB, Mirel DB, Ivinson AJ, Pericak-Vance MA, Gregory SG, Rioux JD, McCauley JL, Haines JL, Barcellos LF, Cree B, Oksenberg JR, Hauser SL. Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med. 2007; 357:851-62. [PMID: 17660530]
  79. Comabella M, Craig DW, Camina-Tato M, Morcillo C, Lopez C, Navarro A, Rio J, Montalban X, Martin R. Identification of a novel risk locus for multiple sclerosis at 13q31.3 by a pooled genome-wide scan of 500,000 single nucleotide polymorphisms. PLoS ONE. 2008; 3:e3490 [PMID: 18941528]
  80. Haines JL, Terwedow HA, Burgess K, Pericak-Vance MA, Rimmler JB, Martin ER, Oksenberg JR, Lincoln R, Zhang DY, Banatao DR, Gatto N, Goodkin DE, Hauser SL. Linkage of the MHC to familial multiple sclerosis suggests genetic heterogeneity. The Multiple Sclerosis Genetics Group. Hum Mol Genet. 1998; 7:1229-34. [PMID: 9668163]
  81. Schmidt H, Williamson D, Ashley-Koch A. HLA-DR15 haplotype and multiple sclerosis: a HuGE review. Am J Epidemiol. 2007; 165:1097-109. [PMID: 17329717]
  82. Baranzini SE, Wang J, Gibson RA, Galwey N, Naegelin Y, Barkhof F, Radue EW, Lindberg RL, Uitdehaag BM, Johnson MR, Angelakopoulou A, Hall L, Richardson JC, Prinjha RK, Gass A, Geurts JJ, Kragt J, Sombekke M, Vrenken H, Qualley P, Lincoln RR, Gomez R, Caillier SJ, George MF, Mousavi H, Guerrero R, Okuda DT, Cree BA, Green AJ, Waubant E, Goodin DS, Pelletier D, Matthews PM, Hauser SL, Kappos L, Polman CH, Oksenberg JR. Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis. Hum Mol Genet. 2009; 18:767-78. [PMID: 19010793]
  83. Yang Y, Sun R, Yang H, Zheng F, Gong F. −308 G>A of TNF-α gene promoter decreases the risk of multiple sclerosis: a meta-analysis. Mult Scler. 2011; 17:658-65. [PMID: 21177755]
  84. Xu L, Yuan W, Sun H, Zhang X, Jia X, Shen C, Zhao Y, Sun D, Yu Y, Jin Y, Fu S. The polymorphisms of the TNF-α gene in multiple sclerosis?–a meta-analysis. Mol Biol Rep. 2011; 38:4137-44. [PMID: 21136171]
  85. Fromont A, De Seze J, Fleury MC, Maillefert JF, Moreau T. Inflammatory demyelinating events following treatment with anti-tumor necrosis factor. Cytokine. 2009; 45:55-7. [PMID: 19109035]
  86. Mohan N, Edwards ET, Cupps TR, Oliverio PJ, Sandberg G, Crayton H, Richert JR, Siegel JN. Demyelination occurring during anti-tumor necrosis factor alpha therapy for inflammatory arthritides. Arthritis Rheum. 2001; 44:2862-9. [PMID: 11762947]
  87. Sicotte NL, Voskuhl RR. Onset of multiple sclerosis associated with anti-TNF therapy. Neurology. 2001; 57:1885-8. [PMID: 11723281]
  88. Siddiqui MA, Scott LJ. Spotlight on infliximab in Crohn disease and rheumatoid arthritis. BioDrugs. 2006; 20:67-70. [PMID: 16573354]
  89. Gregory AP, Dendrou CA, Attfield KE, Haghikia A, Xifara DK, Butter F, Poschmann G, Kaur G, Lambert L, Leach OA, Promel S, Punwani D, Felce JH, Davis SJ, Gold R, Nielsen FC, Siegel RM, Mann M, Bell JI, McVean G, Fugger L. TNF receptor 1 genetic risk mirrors outcome of anti-TNF therapy in multiple sclerosis. Nature. 2012; 488:508-11. [PMID: 22801493]
  90. de Waal Malefyt R, Abrams J, Bennett B, Figdor CG, de Vries JE. Interleukin 10 (IL-10) inhibits cytokine synthesis by human monocytes: an autoregulatory role of IL-10 produced by monocytes. J Exp Med. 1991; 174:1209-20. [PMID: 1940799]
  91. Bogdan C, Vodovotz Y, Nathan C. Macrophage deactivation by interleukin 10. J Exp Med. 1991; 174:1549-55. [PMID: 1744584]
  92. Buelens C, Verhasselt V, De Groote D, Thielemans K, Goldman M, Willems F. Interleukin-10 prevents the generation of dendritic cells from human peripheral blood mononuclear cells cultured with interleukin-4 and granulocyte/macrophage-colony-stimulating factor. Eur J Immunol. 1997; 27:756-62. [PMID: 9079819]
  93. Pestka S, Krause CD, Sarkar D, Walter MR, Shi Y, Fisher PB. Interleukin-10 and related cytokines and receptors. Annu Rev Immunol. 2004; 22:929-79. [PMID: 15032600]
  94. Barrat FJ, Cua DJ, Boonstra A, Richards DF, Crain C, Savelkoul HF, de Waal-Malefyt R, Coffman RL, Hawrylowicz CM, O'Garra A. In vitro generation of interleukin 10-producing regulatory CD4(+) T cells is induced by immunosuppressive drugs and inhibited by T helper type 1 (Th1)- and Th2-inducing cytokines. J Exp Med. 2002; 195:603-16. [PMID: 11877483]