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Open Access 01.12.2018 | Research article

Genetically determined high activities of the TNF-alpha, IL23/IL17, and NFkB pathways were associated with increased risk of ankylosing spondylitis

verfasst von: Jacob Sode, Steffen Bank, Ulla Vogel, Paal Skytt Andersen, Signe Bek Sørensen, Anders Bo Bojesen, Malene Rohr Andersen, Ivan Brandslund, Ram Benny Dessau, Hans Jürgen Hoffmann, Bente Glintborg, Merete Lund Hetland, Henning Locht, Niels Henrik Heegaard, Vibeke Andersen

Erschienen in: BMC Medical Genetics | Ausgabe 1/2018

Abstract

Background

Ankylosing spondylitis (AS) results from the combined effects of susceptibility genes and environmental factors. Polymorphisms in genes regulating inflammation may explain part of the heritability of AS.

Methods

Using a candidate gene approach in this case-control study, 51 mainly functional single nucleotide polymorphisms (SNPs) in genes regulating inflammation were assessed in 709 patients with AS and 795 controls. Data on the patients with AS were obtained from the DANBIO registry where patients from all of Denmark are monitored in routine care during treatment with conventional and biologic disease modifying anti-rheumatic drugs (bDMARDs).

The results were analyzed using logistic regression (adjusted for age and sex).

Results

Nine polymorphisms were associated with risk of AS (p < 0.05). The polymorphisms were in genes regulating a: the TNF-α pathway (TNF -308 G > A (rs1800629), and − 238 G > A (rs361525); TNFRSF1A -609 G > T (rs4149570), and PTPN22 1858 G > A (rs2476601)), b: the IL23/IL17 pathway (IL23R G > A (rs11209026), and IL18–137 G > C (rs187238)), or c: the NFkB pathway (TLR1 743 T > C (rs4833095), TLR4 T > C (rs1554973), and LY96–1625 C > G (rs11465996)).

After Bonferroni correction the homozygous variant genotype of TLR1 743 T > C (rs4833095) (odds ratios (OR): 2.59, 95% confidence interval (CI): 1.48–4.51, p = 0.04), and TNFRSF1A -609 G > T (rs4149570) (OR: 1.79, 95% CI: 1.31–2.41, p = 0.01) were associated with increased risk of AS and the combined homozygous and heterozygous variant genotypes of TNF -308 G > A (rs1800629) (OR: 0.56, 95% CI: 0.44–0.72, p = 0.0002) were associated with reduced risk of AS.

Conclusion

We replicated associations between AS and the polymorphisms in TNF (rs1800629), TNFRSF1A (rs4149570), and IL23R (rs11209026). Furthermore, we identified novel risk loci in TNF (rs361525), IL18 (rs187238), TLR1 (rs4833095), TLR4 (rs1554973), and LY96 (rs11465996) that need validation in independent cohorts. The results suggest that genetically determined high activity of the TNF-α, IL23/IL17, and NFkB pathways increase risk of AS.

Niels Henrik Heegaard is deceased. This paper is dedicated to his memory.

Background

Ankylosing spondylitis (AS) is a type of spondyloarthritis in which hallmark clinical features are inflammation at entheses and subchondral bone of the pelvic and spinal joints with subsequent abnormal new bone formation at these sites. Ultimately, this leads to ossification of entheses and joints resulting in loss of joint mobility. The incidence varies between 0.1 and 1.8% with the highest incidence in Scandinavia. Onset is typically in young adults with a male predominance. Medications used include non-steroid anti-inflammatory drugs (NSAIDs), and biological disease-modifying anti-rheumatic drugs (bDMARDs), i.e. tumor necrosis factor-α inhibitors (anti-TNF) and more recently also an interleukin(IL)-17A inhibitor (secukinumab) [1].

The cause of AS is unknown but is believed to involve a combination of genetic and environmental factors [2]. The heritability is polygenic and estimated to exceed 90%, with the HLA-B27 allele as the major contributor accounting for approximately 25% of the heritability of AS [2]. The IL-17/ IL-23 pathway and the TNF-α pathway are central in the pathogenesis of AS and alterations in these pathways have been shown in mouse models to affect development and severity of enthesitis [3, 4].

TNF-α can be activated by Pathogen-Associated Molecular Patterns (PAMPs) such as bacterial or viral DNA, flagellin, or lipopolysaccharide (LPS), through the NFkB pathway. PAMPs can be recognized by Toll-like receptors (TLRs) thereby initiating a kinase cascade which phosphorylates and degrades the NFkB inhibitor IkBα [5]. This releases NFkB which is transported from the cytosol to the nucleus where it initiates expression of pro- and anti-inflammatory cytokines including TNF-α and IL-17 (http://www.bu.edu/nf-kb/gene-resources/target-genes/). The TNF-α and NFkB pathway are intertwined and TNF-α can feedback stimulate NFkB by binding to TNF receptors (TNFR1 or TNFR2), resulting in a kinase cascade similar to, but distinct from, the pathway induced by TLRs [5].

The IL23/IL17 pathway can also stimulate TNF-α activity. The pro-inflammatory cytokine IL-17 enhances the production of other pro-inflammatory cytokines including TNF-α, and the secretion IL-17 itself can be enhanced by IL-23 [6].

PAMPs can also be recognized by intracellular Nod-like receptors (NLRs). In turn, NLRs can activate pro-inflammatory cytokines including IL-18 [7]. IL-18 is invloved in the IL23/IL17 pathway and can enhance the production of IL-17 [8].

The aim of this study was to assess whether functional single nucleotide polymorphisms.

(SNPs) in genes involved in the TNF-α, IL23/IL17, NFkB, and other pro- and anti-inflammatory pathways were associated with risk of AS.

Methods

Patients and samples

The DANBIO registry includes prospectively collected clinical data on patients with inflammatory joint diseases including smoking status, disease characteristics e.g. HLA-B27 status, disease activity, treatment, and treatment outcomes. Patients from all of Denmark are monitored in routine care during treatment with conventional and biologic disease modifying anti-rheumatic drugs (bDMARDs) [9].

Screening for tuberculosis before initiation of treatment with biological drugs is routinely performed in Denmark. Left over blood clots (after whole blood analysis for Mycobacterium tuberculosis) were collected from all patients screened for tuberculosis at Statens Serum Institut (Copenhagen, Denmark) from 01.09.2009 to 31.01.2013; the Department of Respiratory Diseases B and the Department of Clinical Microbiology, Aarhus University Hospital (Aarhus, Denmark) from 01.01.2011 to 31.01.2014; the Department of Clinical Biochemistry, Herlev and Gentofte Hospital (Hellerup, Denmark) from 01.03.2012 to 31.01.2014; the Department of Biochemistry, Hospital of Lillebaelt (Vejle, Denmark); and the Department of Biochemistry, Hospital of Slagelse (Slagelse, Denmark) from 01.01.2014 to 31.01.2014. Furthermore, from 01.01.2013 to 31.12.2013 blood samples were collected from all patients with AS treated with or without anti-TNF drugs at the Department of Rheumatology, Frederiksberg Hospital (Frederiksberg, Denmark).

By linking the unique personal identification number of Danish citizens (CPR-number) from each blood sample with the clinical data from DANBIO, 709 patients with AS (ICD-10: M45.9) were identified. The control group consisted of 795 healthy blood donors recruited from Viborg, Denmark.

Genotyping

Fifty-one SNPs in genes involved in the TNF-α, IL23/IL17, NFκB, and other pro- and anti-inflammatory pathways were assessed. A list of all SNPs studied and genotype distribution is presented in Table 1 and SNPs associated with AS are summarized in Table 2.

Table 1

Odds ratios (OR) and 95% confidence interval (95CI) for genotypes studied among healthy controls and patients with ankylosing spondylitis (AS)

Gene rs-number	Healthy controls	AS	Unadjusted		Adjusted, age & sex		Adjusted, age, sex & smoking
Gene rs-number	Healthy controls	AS	OR (95 CI)	p	OR (9 5CI)	p	OR (95 CI)	p
TLR1 rs4833095
TT	485	415
TC	261	238	1.07 (0.86–1.33)	0.57	1.03 (0.82–1.29)	0.83	1.05 (0.78–1.42)	0.73
CC	20	43	2.51 (1.45–4.34)	0.00095	2.59 (1.48–4.51)	0.00081	2.86 (1.44–5.68)	0.0026
TC or CC	281	281	1.17 (0.95–1.44)	0.15	1.14 (0.91–1.41)	0.25	1.18 (0.89–1.58)	0.26
TLR2 rs3804099
TT	241	197
TC	393	354	1.10 (0.87–1.40)	0.42	1.07 (0.84–1.37)	0.58	1.02 (0.73–1.42)	0.90
CC	144	142	1.21 (0.89–1.63)	0.22	1.24 (0.91–1.68)	0.17	1.30 (0.87–1.96)	0.20
TC or CC	537	496	1.13 (0.90–1.41)	0.29	1.11 (0.89–1.40)	0.36	1.10 (0.80–1.50)	0.57
TLR2 rs11938228
CC	327	314
CA	368	313	0.89 (0.71–1.10)	0.27	0.86 (0.69–1.07)	0.17	0.80 (0.60–1.08)	0.15
AA	76	69	0.95 (0.66–1.36)	0.76	0.92 (0.63–1.33)	0.66	1.03 (0.62–1.69)	0.92
CA or AA	444	382	0.90 (0.73–1.10)	0.30	0.87 (0.70–1.07)	0.19	0.84 (0.63–1.11)	0.22
TLR2 rs4696480
AA	199	179
AT	417	348	0.93 (0.72–1.19)	0.55	0.89 (0.69–1.15)	0.38	0.84 (0.60–1.18)	0.31
TT	155	169	1.21 (0.90–1.63)	0.20	1.16 (0.86–1.58)	0.33	1.18 (0.78–1.78)	0.44
AT or TT	572	517	1.00 (0.79–1.27)	0.97	0.97 (0.76–1.23)	0.78	0.92 (0.67–1.27)	0.62
TLR4 rs5030728
GG	359	322
GA	323	298	1.03 (0.83–1.28)	0.80	1.01 (0.81–1.27)	0.91	0.93 (0.69–1.25)	0.62
AA	78	70	1.00 (0.70–1.43)	1.00	0.98 (0.68–1.42)	0.93	0.87 (0.53–1.42)	0.57
GA or AA	401	368	1.02 (0.83–1.26)	0.83	1.01 (0.82–1.25)	0.94	0.91 (0.69–1.21)	0.53
TLR4 rs1554973
TT	440	395
TC	272	261	1.07 (0.86–1.33)	0.55	1.06 (0.85–1.32)	0.62	0.98 (0.73–1.32)	0.90
CC	62	33	0.59 (0.38–0.92)	0.02	0.55 (0.34–0.86)	0.01	0.68 (0.38–1.23)	0.20
TC or CC	334	294	0.98 (0.80–1.21)	0.85	0.96 (0.78–1.19)	0.72	0.93 (0.70–1.24)	0.63
TLR4 rs12377632
TT	306	271
TC	358	319	1.01 (0.81–1.26)	0.96	1.05 (0.84–1.32)	0.66	1.07 (0.78–1.46)	0.67
CC	102	96	1.06 (0.77–1.47)	0.71	1.11 (0.80–1.55)	0.52	1.41 (0.92–2.17)	0.12
TC or CC	460	415	1.02 (0.83–1.26)	0.86	1.06 (0.86–1.32)	0.58	1.14 (0.85–1.53)	0.37
TLR5 rs5744168
CC	672	605
CT	94	89	1.05 (0.77–1.43)	0.75	1.05 (0.77–1.45)	0.74	0.89 (0.58–1.37)	0.60
TT	5	2	0.44 (0.09–2.30)	0.33	0.45 (0.08–2.43)	0.35	0.04 (0.00–3.54)	0.16
CT or TT	99	91	1.02 (0.75–1.39)	0.89	1.02 (0.75–1.40)	0.88	0.84 (0.55–1.29)	0.43
TLR5 rs5744174
TT	215	216
TC	399	337	0.84 (0.66–1.07)	0.15	0.85 (0.67–1.09)	0.20	0.82 (0.60–1.14)	0.24
CC	144	138	0.95 (0.71–1.29)	0.76	1.02 (0.75–1.39)	0.91	0.87 (0.57–1.32)	0.51
TC or CC	543	475	0.87 (0.69–1.09)	0.23	0.90 (0.71–1.13)	0.36	0.84 (0.62–1.14)	0.26
TLR9 rs187084
TT	262	237
TC	366	335	1.01 (0.80–1.27)	0.92	1.03 (0.82–1.31)	0.78	1.09 (0.79–1.50)	0.60
CC	142	120	0.93 (0.69–1.26)	0.66	0.91 (0.67–1.24)	0.56	1.07 (0.71–1.61)	0.76
TC or CC	508	455	0.99 (0.80–1.23)	0.93	1.00 (0.80–1.25)	0.98	1.08 (0.80–1.46)	0.60
TLR9 rs352139
GG	255	211
GA	347	324	1.13 (0.89–1.43)	0.32	1.08 (0.85–1.38)	0.52	1.01 (0.73–1.40)	0.93
AA	167	139	1.01 (0.75–1.34)	0.97	0.96 (0.71–1.30)	0.79	0.80 (0.53–1.20)	0.27
GA or AA	514	463	1.09 (0.87–1.36)	0.45	1.04 (0.83–1.31)	0.72	0.94 (0.69–1.27)	0.68
LY96 rs11465996
CC	344	341
CG	337	298	0.89 (0.72–1.11)	0.30	0.91 (0.73–1.14)	0.42	0.89 (0.66–1.20)	0.45
GG	81	53	0.66 (0.45–0.96)	0.03	0.68 (0.46–1.00)	0.0498	0.65 (0.39–1.10)	0.11
CG or GG	418	351	0.85 (0.69–1.04)	0.11	0.87 (0.70–1.07)	0.18	0.84 (0.63–1.12)	0.24
CD14 Rs2569190
GG	236	194
GA	360	339	1.15 (0.90–1.46)	0.27	1.18 (0.92–1.51)	0.19	1.27 (0.91–1.78)	0.16
AA	170	157	1.12 (0.84–1.50)	0.43	1.20 (0.89–1.61)	0.24	1.46 (0.98–2.19)	0.06
GA or AA	530	496	1.14 (0.91–1.43)	0.26	1.18 (0.94–1.50)	0.15	1.32 (0.96–1.82)	0.08
TIRAP rs8177374
CC	556	521
CT	185	159	0.92 (0.72–1.17)	0.49	0.99 (0.77–1.27)	0.94	1.38 (0.99–1.91)	0.06
TT	21	15	0.76 (0.39–1.49)	0.43	0.76 (0.38–1.53)	0.45	1.31 (0.55–3.12)	0.55
CT or TT	206	174	0.90 (0.71–1.14)	0.39	0.97 (0.76–1.23)	0.81	1.38 (1.00–1.89)	0.047
SUMO4 rs237025
TT	215	195
TC	362	358	1.09 (0.86–1.39)	0.48	1.08 (0.84–1.38)	0.55	1.04 (0.75–1.44)	0.80
CC	195	136	0.77 (0.57–1.03)	0.08	0.75 (0.55–1.01)	0.06	0.55 (0.36–0.84)	0.01
TC or CC	557	494	0.98 (0.78–1.23)	0.85	0.96 (0.76–1.22)	0.75	0.87 (0.64–1.19)	0.38
NFKBIA rs696
GG	298	259
GA	366	336	1.06 (0.85–1.32)	0.63	1.06 (0.84–1.33)	0.64	1.02 (0.75–1.39)	0.88
AA	101	90	1.03 (0.74–1.43)	0.88	0.97 (0.69–1.36)	0.86	1.07 (0.67–1.69)	0.78
GA or AA	467	426	1.05 (0.85–1.30)	0.65	1.04 (0.84–1.29)	0.73	1.03 (0.77–1.38)	0.84
NFKB1 rs28362491
Ins/Ins	269	258
Ins/−	376	316	0.88 (0.70–1.10)	0.25	0.89 (0.70–1.12)	0.31	0.74 (0.54–1.01)	0.06
−/−	122	100	0.85 (0.62–1.17)	0.33	0.82 (0.59–1.13)	0.22	0.78 (0.51–1.19)	0.25
Ins/− or −/−	498	416	0.87 (0.70–1.08)	0.21	0.87 (0.70–1.08)	0.21	0.75 (0.56–1.01)	0.06
TNF rs1800629
GG	527	549
GA	223	129	0.56 (0.43–0.71)	0.0000032	0.58 (0.45–0.75)	0.000029	0.63 (0.45–0.89)	0.01
AA	25	9	0.35 (0.16–0.75)	0.01	0.39 (0.18–0.85)	0.02	0.19 (0.04–0.79)	0.02
GA or AA	248	138	0.53 (0.42–0.68)	0.00000030	0.56 (0.44–0.72)	0.0000047	0.59 (0.42–0.82)	0.0018
TNF rs361525
GG	708	669
GA	60	30	0.53 (0.34–0.83)	0.01	0.52 (0.32–0.82)	0.0049	0.61 (0.33–1.12)	0.11
AA	3	0	1.00 (1.00–1.00)	1.00	1.00 (1.00–1.00)	1.00	1.00 (1.00–1.00)	1.00
GA or AA	63	30	0.50 (0.32–0.79)	0.0027	0.49 (0.31–0.78)	0.0024	0.58 (0.32–1.05)	0.07
TNFRSF1A rs4149570
GG	307	217
GT	355	339	1.35 (1.07–1.70)	0.01	1.33 (1.05–1.68)	0.02	1.46 (1.06–2.00)	0.02
TT	109	132	1.71 (1.26–2.33)	0.00060	1.79 (1.31–2.46)	0.00027	2.26 (1.48–3.47)	0.00017
GT or TT	464	471	1.44 (1.16–1.78)	0.0010	1.44 (1.15–1.80)	0.0013	1.64 (1.21–2.22)	0.0014
TNFAIP3 rs6927172
CC	473	415
CG	264	245	1.06 (0.85–1.32)	0.61	1.06 (0.85–1.33)	0.61	1.03 (0.76–1.39)	0.85
GG	40	25	0.71 (0.42–1.19)	0.20	0.70 (0.41–1.19)	0.18	0.51 (0.23–1.10)	0.09
CG or GG	304	270	1.01 (0.82–1.25)	0.91	1.01 (0.82–1.26)	0.91	0.95 (0.71–1.27)	0.73
TGFB1 rs1800469
CC	383	344
CT	297	299	1.12 (0.90–1.39)	0.30	1.08 (0.87–1.35)	0.48	1.28 (0.95–1.71)	0.11
TT	86	53	0.69 (0.47–1.00)	0.047	0.69 (0.47–1.02)	0.06	0.69 (0.40–1.17)	0.17
CT or TT	383	352	1.02 (0.83–1.26)	0.83	1.00 (0.81–1.23)	0.97	1.14 (0.86–1.52)	0.35
PTPN22 rs2476601
GG	588	557
GA	166	122	0.78 (0.60–1.01)	0.06	0.77 (0.59–1.00)	0.05	0.75 (0.52–1.09)	0.13
AA	11	6	0.58 (0.21–1.57)	0.28	0.57 (0.20–1.58)	0.28	0.83 (0.21–3.28)	0.80
GA or AA	177	128	0.76 (0.59–0.99)	0.04	0.76 (0.58–0.98)	0.04	0.76 (0.53–1.09)	0.13
PPARG rs1801282
CC	548	511
CG	207	167	0.87 (0.68–1.10)	0.23	0.85 (0.66–1.08)	0.18	0.87 (0.63–1.21)	0.42
GG	14	15	1.15 (0.55–2.40)	0.71	1.33 (0.62–2.83)	0.46	1.54 (0.60–3.98)	0.37
CG or GG	221	182	0.88 (0.70–1.11)	0.29	0.88 (0.69–1.11)	0.27	0.91 (0.67–1.26)	0.58
IL1B rs4848306
GG	246	215
GA	373	352	1.08 (0.85–1.36)	0.52	1.09 (0.86–1.39)	0.48	1.16 (0.84–1.60)	0.38
AA	151	125	0.95 (0.70–1.28)	0.72	0.96 (0.71–1.31)	0.81	0.88 (0.57–1.34)	0.55
GA or AA	524	477	1.04 (0.83–1.30)	0.72	1.06 (0.84–1.33)	0.64	1.08 (0.79–1.46)	0.64
IL1B rs1143623
GG	401	365
GC	316	278	0.97 (0.78–1.20)	0.76	0.98 (0.79–1.22)	0.87	1.07 (0.80–1.44)	0.66
CC	55	52	1.04 (0.69–1.56)	0.85	1.12 (0.74–1.69)	0.59	0.87 (0.48–1.57)	0.64
GC or CC	371	330	0.98 (0.80–1.20)	0.83	1.00 (0.81–1.24)	0.98	1.04 (0.78–1.38)	0.79
IL1B rs1143627
TT	340	305
TC	339	305	1.00 (0.81–1.25)	0.98	1.00 (0.79–1.25)	0.97	1.05 (0.78–1.42)	0.75
CC	97	86	0.99 (0.71–1.37)	0.94	1.01 (0.72–1.41)	0.95	0.85 (0.53–1.36)	0.50
TC or CC	436	391	1.00 (0.81–1.23)	1.00	1.00 (0.81–1.24)	1.00	1.00 (0.76–1.34)	0.97
IL1RN rs4251961
TT	298	247
TC	360	324	1.09 (0.87–1.36)	0.47	1.04 (0.83–1.32)	0.71	1.22 (0.89–1.67)	0.21
CC	112	105	1.13 (0.83–1.55)	0.44	1.05 (0.76–1.46)	0.76	1.41 (0.92–2.17)	0.12
TC or CC	472	429	1.10 (0.89–1.36)	0.40	1.05 (0.84–1.30)	0.68	1.26 (0.94–1.71)	0.12
IL4R rs1805010
AA	209	201
AG	410	317	0.80 (0.63–1.02)	0.08	0.79 (0.62–1.02)	0.07	0.73 (0.52–1.02)	0.07
GG	157	133	0.88 (0.65–1.19)	0.41	0.91 (0.67–1.24)	0.55	0.87 (0.58–1.33)	0.53
AG or GG	567	450	0.83 (0.66–1.04)	0.10	0.83 (0.65–1.05)	0.12	0.77 (0.56–1.06)	0.11
IL6 rs10499563
TT	476	439
TC	259	225	0.94 (0.76–1.17)	0.60	0.94 (0.75–1.18)	0.60	0.77 (0.57–1.05)	0.10
CC	35	26	0.81 (0.48–1.36)	0.42	0.72 (0.42–1.25)	0.24	0.80 (0.39–1.63)	0.53
TC or CC	294	251	0.93 (0.75–1.14)	0.48	0.92 (0.74–1.14)	0.43	0.77 (0.57–1.04)	0.09
IL6R rs4537545
CC	289	247
CT	369	324	1.03 (0.82–1.29)	0.82	1.05 (0.83–1.32)	0.71	1.07 (0.79–1.47)	0.65
TT	117	113	1.13 (0.83–1.54)	0.44	1.18 (0.86–1.63)	0.30	1.17 (0.76–1.79)	0.48
CT or TT	486	437	1.05 (0.85–1.30)	0.64	1.08 (0.86–1.34)	0.51	1.09 (0.81–1.47)	0.55
IL10 rs1800872
CC	482	408
CA	258	225	1.03 (0.83–1.29)	0.79	1.01 (0.80–1.27)	0.94	0.93 (0.68–1.26)	0.63
AA	35	42	1.42 (0.89–2.26)	0.14	1.35 (0.83–2.18)	0.22	1.47 (0.79–2.73)	0.22
CA or AA	293	267	1.08 (0.87–1.33)	0.50	1.05 (0.84–1.30)	0.67	0.99 (0.74–1.33)	0.95
IL10 rs3024505
CC	518	467
CT	221	200	1.00 (0.80–1.26)	0.97	1.01 (0.80–1.28)	0.95	1.19 (0.87–1.61)	0.28
TT	22	24	1.21 (0.67–2.19)	0.53	1.32 (0.72–2.42)	0.37	1.80 (0.79–4.12)	0.16
CT or TT	243	224	1.02 (0.82–1.27)	0.84	1.04 (0.83–1.30)	0.76	1.23 (0.92–1.66)	0.17
IL12B rs3212217
GG	499	460
GC	235	200	0.92 (0.74–1.16)	0.49	0.95 (0.75–1.19)	0.64	0.94 (0.69–1.29)	0.72
CC	25	21	0.91 (0.50–1.65)	0.76	0.94 (0.51–1.72)	0.84	0.57 (0.23–1.41)	0.22
GC or CC	260	221	0.92 (0.74–1.15)	0.47	0.95 (0.76–1.19)	0.63	0.91 (0.67–1.23)	0.53
IL12B rs6887695
GG	385	324
GC	293	301	1.22 (0.98–1.52)	0.07	1.24 (0.99–1.55)	0.06	1.31 (0.97–1.77)	0.07
CC	72	70	1.16 (0.81–1.66)	0.43	1.16 (0.80–1.69)	0.43	0.98 (0.59–1.61)	0.94
GC or CC	365	371	1.21 (0.98–1.49)	0.07	1.22 (0.99–1.51)	0.06	1.24 (0.93–1.64)	0.14
IL12RB1 rs401502
CC	360	304
CG	303	311	1.22 (0.98–1.51)	0.08	1.21 (0.96–1.51)	0.10	1.19 (0.88–1.61)	0.26
GG	87	70	0.95 (0.67–1.35)	0.79	0.97 (0.68–1.39)	0.87	1.18 (0.74–1.88)	0.48
CG or GG	390	381	1.16 (0.94–1.42)	0.17	1.15 (0.93–1.43)	0.19	1.19 (0.89–1.58)	0.24
IL17A rs2275913
GG	340	307
GA	336	301	0.99 (0.80–1.24)	0.94	0.98 (0.79–1.23)	0.89	0.90 (0.67–1.22)	0.51
AA	95	84	0.98 (0.70–1.36)	0.90	1.00 (0.71–1.40)	0.98	1.00 (0.63–1.57)	0.99
GA or AA	431	385	0.99 (0.80–1.22)	0.92	0.99 (0.80–1.22)	0.89	0.92 (0.69–1.22)	0.57
IL18 rs187238
GG	387	380
GC	312	259	0.85 (0.68–1.05)	0.13	0.83 (0.66–1.03)	0.09	0.74 (0.55–1.00)	0.049
CC	64	41	0.65 (0.43–0.99)	0.04	0.69 (0.45–1.06)	0.09	0.58 (0.32–1.04)	0.07
GC or CC	376	300	0.81 (0.66–1.00)	0.0499	0.80 (0.65–0.99)	0.04	0.71 (0.53–0.95)	0.02
IL18 rs1946518
GG	282	259
GT	363	329	0.99 (0.79–1.24)	0.91	0.96 (0.76–1.21)	0.71	0.89 (0.65–1.21)	0.45
TT	113	97	0.93 (0.68–1.29)	0.68	0.95 (0.68–1.31)	0.74	0.80 (0.51–1.24)	0.32
GT or TT	476	426	0.97 (0.79–1.21)	0.81	0.96 (0.77–1.19)	0.68	0.86 (0.64–1.16)	0.32
IL23R rs11209026
GG	680	646
GA	89	50	0.59 (0.41–0.85)	0.0045	0.63 (0.43–0.91)	0.02	0.64 (0.38–1.05)	0.08
AA	5	1	1.00 (1.00–1.00)	1.00	1.00 (1.00–1.00)	1.00	1.00 (1.00–1.00)	1.00
GA or AA	94	51	0.57 (0.40–0.82)	0.0021	0.60 (0.42–0.87)	0.01	0.63 (0.38–1.03)	0.06
IFNG rs2430561
TT	199	181
TA	398	369	1.02 (0.80–1.30)	0.88	1.01 (0.79–1.30)	0.92	1.08 (0.77–1.52)	0.65
AA	161	139	0.95 (0.70–1.29)	0.74	0.97 (0.71–1.32)	0.85	1.09 (0.72–1.64)	0.68
TA or AA	559	508	1.00 (0.79–1.26)	0.99	1.00 (0.79–1.27)	0.99	1.08 (0.79–1.50)	0.62
IFNGR1 rs2234711
TT	290	232
TC	361	348	1.20 (0.96–1.51)	0.11	1.20 (0.95–1.51)	0.12	1.15 (0.84–1.57)	0.40
CC	119	108	1.13 (0.83–1.55)	0.43	1.09 (0.79–1.50)	0.60	1.11 (0.72–1.70)	0.65
TC or CC	480	456	1.19 (0.96–1.47)	0.12	1.17 (0.94–1.46)	0.16	1.14 (0.84–1.53)	0.40
IFNGR2 rs8126756
TT	553	522
TC	168	130	0.82 (0.63–1.06)	0.13	0.83 (0.64–1.09)	0.18	0.86 (0.60–1.24)	0.42
CC	18	12	0.71 (0.34–1.48)	0.36	0.69 (0.32–1.49)	0.35	0.53 (0.18–1.54)	0.24
TC or CC	186	142	0.81 (0.63–1.04)	0.09	0.82 (0.64–1.06)	0.13	0.83 (0.59–1.17)	0.28
IFNGR2 rs17882748
CC	199	173
CT	391	341	1.00 (0.78–1.29)	0.98	1.00 (0.77–1.30)	0.99	1.01 (0.71–1.42)	0.97
TT	153	174	1.31 (0.97–1.76)	0.08	1.31 (0.97–1.78)	0.08	1.16 (0.77–1.73)	0.48
CT or TT	544	515	1.09 (0.86–1.38)	0.48	1.09 (0.86–1.39)	0.48	1.05 (0.76–1.45)	0.76
TBX21 rs17250932
TT	526	497
TC	210	179	0.90 (0.71–1.14)	0.39	0.94 (0.74–1.19)	0.61	0.84 (0.60–1.17)	0.30
CC	32	19	0.63 (0.35–1.12)	0.12	0.66 (0.36–1.19)	0.17	0.37 (0.14–0.98)	0.046
TC or CC	242	198	0.87 (0.69–1.08)	0.21	0.90 (0.72–1.14)	0.39	0.78 (0.56–1.07)	0.12
NLRP1 rs2670660
AA	222	202
AG	390	328	0.92 (0.73–1.18)	0.52	0.96 (0.75–1.23)	0.73	1.12 (0.80–1.56)	0.52
GG	154	154	1.10 (0.82–1.47)	0.53	1.11 (0.82–1.49)	0.51	1.12 (0.75–1.67)	0.59
AG or GG	544	482	0.97 (0.78–1.22)	0.82	1.00 (0.79–1.26)	0.98	1.11 (0.81–1.52)	0.50
NLRP1 rs878329
GG	217	206
GC	394	333	0.89 (0.70–1.13)	0.34	0.89 (0.69–1.14)	0.35	0.99 (0.71–1.38)	0.93
CC	155	155	1.05 (0.79–1.41)	0.73	1.05 (0.78–1.41)	0.75	1.03 (0.69–1.54)	0.90
GC or CC	549	488	0.94 (0.75–1.17)	0.57	0.93 (0.74–1.18)	0.56	1.00 (0.73–1.36)	0.98
NLRP3 rs10754558
CC	294	248
CG	355	324	1.08 (0.86–1.36)	0.50	1.06 (0.84–1.34)	0.61	1.10 (0.81–1.51)	0.54
GG	111	116	1.24 (0.91–1.69)	0.18	1.25 (0.91–1.71)	0.17	1.11 (0.71–1.72)	0.65
CG or GG	466	440	1.12 (0.90–1.39)	0.30	1.11 (0.89–1.38)	0.36	1.11 (0.82–1.49)	0.51
NLRP3 rs4612666
CC	435	360
CT	280	277	1.20 (0.96–1.49)	0.11	1.23 (0.99–1.54)	0.07	1.28 (0.95–1.72)	0.10
TT	53	48	1.09 (0.72–1.66)	0.67	1.19 (0.78–1.82)	0.41	1.07 (0.59–1.94)	0.82
CT or TT	333	325	1.18 (0.96–1.45)	0.12	1.23 (0.99–1.52)	0.06	1.24 (0.94–1.65)	0.13
CARD8 rs2043211
AA	321	298
AT	342	316	1.00 (0.80–1.24)	0.97	0.98 (0.79–1.23)	0.89	0.90 (0.67–1.22)	0.50
TT	94	78	0.89 (0.64–1.25)	0.52	0.89 (0.63–1.26)	0.50	0.91 (0.57–1.44)	0.68
AT or TT	436	394	0.97 (0.79–1.20)	0.80	0.96 (0.78–1.19)	0.72	0.90 (0.67–1.19)	0.45
JAK2 rs12343867
TT	398	358
TC	299	263	0.98 (0.79–1.22)	0.84	0.96 (0.76–1.20)	0.69	0.82 (0.61–1.12)	0.21
CC	61	65	1.18 (0.81–1.73)	0.38	1.11 (0.75–1.63)	0.61	1.03 (0.62–1.71)	0.91
TC or CC	360	328	1.01 (0.82–1.25)	0.90	0.98 (0.79–1.21)	0.86	0.86 (0.64–1.14)	0.29

Table 2

Biological interpretation of the single nucleotide polymorphisms (SNPs) associated with ankylosing spondylitis (AS)

Gene	Rs-number	Pathway	Model	OR (95% CI)	P-value / Bonferroni^a	Effect of minor-allele	Biological interpretation
TLR1	rs4833095	Pathogen recognition	CC vs TT	2.59 (1.48–4.51)	0.00081 / 0.04	743C increase TLR1 level in PBMC [56]	Increased TLR1 level was associated with increased risk of AS. This could indicate that a genetically determined high activity of the NFkB pathway, and thus high TNF-α and IL-17 activity, was associated with increased risk of AS.
TLR4	rs1554973	Pathogen recognition	CC vs TT	0.55 (0.34–0.86)	0.010 / 0.51	Unknown [67]	–
LY96	rs11465996	Pathogen recognition	GG vs CC	0.68 (0.46–1.00)	0.049 / 1.00	-1625G increase MD-2 and TNF-α levels in human U937 cells and whole blood leukocytes [57]	Increased MD-2 and TNF-α level was associated with a reduced risk of AS. In contrast to the other results this indicate that genetically determined high TNF-driven inflammatory response was associated with reduced risk of AS.
TNF	rs1800629	Cytokines	GA or AA vs GG	0.56 (0.44–0.72)	0.0000047 / 0.00024	-308A increase expression in jurkat cells [65], reduce mRNA level in PBMC and serum [48] or no association was found [49]	Reduced TNF-α mRNA level was associated with reduced risk of AS. This could indicate that genetically determined high TNF-driven inflammatory response was associated with increased risk of AS.
TNF	rs361525	Cytokines	GA or AA vs GG	0.49 (0.31–0.78)	0.0024 / 0.12	-238A reduce expression in PBMC [49]	Reduced TNF-α expression was associated with reduced risk of AS. This indicates that genetically determined high TNF-driven inflammatory response was associated with increased risk of AS.
TNFRSF1A	rs4149570	Cytokines	GT or TT vs GG	1.44 (1.15–1.80)	0.0013 / 0.066^b	-609 T increase expression in PBMC [50]	Increased TNF-α receptor 1 expression was associated with increased risk of AS. This indicates that genetically determined high TNF-driven inflammatory response was associated with increased risk of AS.
PTPN22	rs2476601	Immune response	GA or AA vs GG	0.76 (0.58–0.98)	0.037 / 1.00	1858A reduce TNF-α level in serum [51]	Reduced TNF-α level was associated with reduced risk of AS. This indicates that genetically determined high TNF-driven inflammatory response was associated with increased risk of AS.
IL18	rs187238	Cytokines	GC or CC vs GG	0.80 (0.65–0.99)	0.044 / 1.00	-137C reduce IL-18 level in serum [53] and expression in PBMC [54]	Reduced IL-18 expression, and thus reduced IL-17 and TNF-α activity, was associated with reduced risk of AS. This indicates that a genetically determined high activity of the IL23/IL17 pathway was associated with increased risk of AS.
IL23R	rs11209026	Cytokines	GA or AA vs GG	0.60 (0.42–0.87)	0.0071 / 0.36	rs11209026A reduce IL-17 level in PBMC [52]	Reduced IL-17 level was associated with reduced risk of AS. This indicates that a genetically determined high activity of the IL23/IL17 pathway was associated with increased risk of AS.

OR Odds ratio

95% CI 95% confidence interval

PBMC peripheral blood mononuclear cell

^aThe Bonferroni calculations were based on the 51 SNPs assessed in this study

^bThe TNFRSF1A (rs4149570) TT vs GG: OR: 1.79, 95% CI: 1.31–2.41, p = 0.00027, Bonferroni = 0.014

DNA extraction (Maxwell 16 LEV Blood DNA Kit; Promega, Madison, WI, USA) was performed as described by Bank et al. [10]. For the healthy controls, DNA was extracted from EDTA-stabilized peripheral blood by either PureGene (Qiagen, Hilden, Germany) or Wizard Genomic (Promega, Madison, Wisconsin, USA) DNA purification kit according to the manufacturers` instructions [11‐17]. Competitive Allele-Specific Polymerase chain reaction (KASP™), an end-point PCR technology, was used by LGC Genomics for genotyping (LGC Genomics, Hoddesdon, United Kingdom) (http://www.lgcgenomics.com/).

Power calculation

The Genetic Power Calculator was utilized for power analysis of discrete traits (http://zzz.bwh.harvard.edu/gpc/cc2.html). The lowest minor allele frequency (MAF) of the studied SNPs was 0.10. The ‘high-risk allele frequency’ was set to 0.10, the ‘prevalence’ was set to 0.0018 [18], D-prime was set to 1, type I error rate was set to 0.05 and number of cases and control:case ratio was 795:709. This cohort study had more than 80% chance of detecting a dominant effect with an odds ratio (OR) of 1.4 for AS.

Statistical analysis

Logistic regression was used to compare genotype distributions among patients with AS versus healthy controls. Crude odds ratio, odds ratio adjusted for age and sex, and odds ratio adjusted for age, sex, and smoking status were assessed (Table 1). A chi-square test was used to test for deviation from Hardy-Weinberg equilibrium in the healthy controls and for haplotype analysis (Tables 3, 4, 5 and 6).

Table 3

Association of the TLR2 haplotype combinations and risk of ankylosing spondylitis (AS). The haplotype combinations in TLR2 described 93% of the genotypes observed

Haplotype combinations	Haplotypes			N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
Haplotype combinations	rs4696480 A > T	rs11938228 C > A	rs3804099 T>C^b	N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
11	T:T	A:A	T:T	69 (11)	76 (10)	1.00	–	–
22	A:A	C:C	C:C	72 (11)	74 (10)	1.07	0.68–1.70	0.82
33	A:A	C:C	T:T	28 (4)	34 (5)	0.91	0.50–1.65	0.76
44	T:T	C:C	C:C	14 (2)	10 (1)	1.52	0.64–3.70	0.38
12	T:A	C:A	C:T	158 (24)	197 (27)	0.88	0.60–1.30	0.55
13	T:A	C:A	T:T	76 (12)	103 (14)	0.81	0.52–1.26	0.37
14	T:T	C:A	C:T	59 (9)	49 (7)	1.33	0.80–2.19	0.31
23	A:A	C:C	C:T	77 (12)	89 (12)	0.95	0.61–1.49	0.91
24	T:A	C:C	C:C	52 (8)	55 (8)	1.04	0.63–1.72	0.90
34	T:A	C:C	C:T	51 (8)	44 (6)	1.28	0.76–2.14	0.43

OR Odds ratio

^aOR was calculated for each haplotype combination by using the haplotype 11 as reference group

^bThe variant allele of rs3804099T T > C has been shown to decrease TNF-α, IL-1β & IL-6 level [68]

Table 4

Association between TLR4 haplotype combinations and risk of ankylosing spondylitis (AS). The haplotype combinations in TLR4 described 94% of the genotypes observed

Haplotype combinations	Haplotypes			N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
Haplotype combinations	rs12377632 T > C	rs1554973 T > C	rs5030728 G > A	N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
11	C:C	T:T	G:G	95 (14)	101 (14)	1.00	–	–
22	T:T	T:T	A:A	69 (10)	74 (10)	0.99	0.64–1.53	1.00
33	T:T	C:C	G:G	29 (4)	57 (8)	0.54	0.32–0.92	0.03
44	T:T	T:T	G:G	3 (0)	5 (1)	0.64	0.15–2.74	0.72
12	T:C	T:T	G:A	154 (23)	188 (25)	0.87	0.61–1.24	0.47
13	T:C	T:C	G:G	126 (19)	129 (17)	1.04	0.72–1.51	0.85
14	T:C	T:T	G:G	30 (5)	32 (4)	1.00	0.56–1.77	1.00
23	T:T	T:C	G:A	99 (15)	106 (14)	0.99	0.67–1.47	1.00
24	T:T	T:T	G:A	31 (5)	24 (3)	1.37	0.75–2.51	0.36
34	T:T	T:C	G:G	28 (4)	26 (4)	1.14	0.63–2.09	0.76

OR Odds ratio

The biological effect of the three polymorphisms in TLR4 was unknown

^aOR was calculated for each haplotype combination by using the haplotype 11 as reference group

Table 5

Association between IL1B haplotype combinations and risk of ankylosing spondylitis (AS). The haplotype combinations in IL1B described 97% of the genotypes observed

Haplotype combinations	Haplotypes			N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
Haplotype combinations	rs4848306 -3737G > A [69, 70]	rs1143623 -1464G > C [69, 71]	rs1143627 -31 T > C [69, 71, 72]	N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
11	A:A	G:G	T:T	125 (18)	148 (20)	1.00	–	–
22	G:G	C:C	C:C	52 (8)	54 (7)	1.14	0.73–1.79	0.65
33	G:G	G:G	T:T	32 (5)	41 (5)	0.92	0.55–1.55	0.79
44	G:G	G:G	C:C	5 (1)	3 (0)	1.97	0.46–8.42	0.48
12	A:G	G:C	T:C	163 (24)	185 (24)	1.04	0.76–1.43	0.81
13	A:G	G:G	T:T	141 (20)	147 (19)	1.14	0.82–1.58	0.50
14	A:G	G:G	T:C	44 (6)	38 (5)	1.37	0.84–2.25	0.26
23	G:G	C:G	C:T	84 (12)	92 (12)	1.08	0.74–1.58	0.70
24	G:G	C:G	C:C	28 (4)	34 (4)	0.98	0.56–1.70	1.00
34	G:G	G:G	T:C	14 (2)	16 (2)	1.04	0.49–2.21	1.00

OR Odds ratio

The variant allele of −3737 G > A [69], −1464 G > C [70] and − 31 T > C [71, 72] have been shown to decrease IL-1β level [69‐72]

^aOR was calculated for each haplotype combination by using the haplotype 11 as reference group

Table 6

Association of the TNF haplotype combinations and risk of ankylosing spondylitis (AS). The haplotype combinations in TNF described 97% of the genotypes observed

Haplotype combinations	Haplotypes		N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
Haplotype combinations	rs361525 G>A^b	rs1800629 G>A^c	N_AS (%)	N_Control (%)	OR^a	(95% CI)	P-value
11	G:G	G:G	523 (76)	469 (61)	1.00	–	–
22	G:G	A:A	9 (1)	25 (3)	0.32	(0.15–0.70)	0.005
12	G:G	G:A	125 (18)	210 (28)	0.53	(0.41–0.69)	< 0.0001
13	G:A	G:G	26 (4)	47 (6)	0.50	(0.30–0.81)	0.007
14	G:A	G:A	4 (1)	12 (2)	0.30	(0.10–0.93)	0.05

OR Odds ratio

^aOR was calculated for each haplotype combination by using the haplotype 11 as reference group

^bThe variant allele of TNF -238A rs361525A G > A has been shown to reduce expression of TNF-α [49]

^cThe variant allele of TNF -308A rs1800629 G > A has been shown to reduce mRNA level [48]

Statistical analyses were performed using STATA version 15 (StataCorp LP, College Station, TX, USA).

Results

Study population

Among the patients with AS the median age was 32 years (SD: 11.5) and 68% (483/709) were males. The healthy controls had a median age of 43 years (SD: 11.5) and 52% (411/384) were males. Among the patients 37% (118/323), 23% (73/323), and 41% (132/323) and among the controls 26% (207/788), 24% (189/788), and 50% (392/788) were current smokers, former smokers and never smokers, respectively. HLA-B27 staus was available for 498 patients of which 83% (411/498) were positive. Sixty percent (427/709) of the patients were treated with anti-TNF.

The genotype distributions among the healthy controls deviated from Hardy-Weinberg equilibrium for TLR1 (743 T > C (rs4833095)) (p = 0.03), TLR2 (− 16,934 A > T (rs4696480)) (p = 0.02), TLR4 (rs1554973 T > C) (p = 0.03), TLR9 (1174 G > A (rs352139)) (p = 0.02) and TGFB1 (− 509 C > T (rs1800469)) (p = 0.02). After correction for multiple testing, all SNPs studied were in Hardy-Weinberg equilibrium.

Polymorphisms associated with susceptibility of AS

In the age and sex adjusted analysis, the homozygous variant genotype of TLR1 743 T > C (rs4833095) (OR: 2.59, 95% CI: 1.48–4.51, p = 0.0008) and the combined homozygous and the heterozygous variant genotypes of TNFRSF1A -609 G > T (rs4149570) (OR: 1.44, 95% CI: 1.15–1.80, p = 0.001) were associated with increased risk of AS. The homozygous variant genotype of TLR4 T > C (rs1554973) (OR: 0.55, 95% CI: 0.34–0.86, p = 0.01) and LY96–1625 C > G (rs11465996) (OR: 0.68, 95% CI: 0.46–1.00, p = 0.05), and the combined homozygous and the heterozygous variant genotypes of TNF -308 G > A (rs1800629) (OR: 0.56, 95% CI: 0.44–0.72, p = 0.000005), TNF -238 G > A (rs361525) (OR: 0.49, 95% CI: 0.31–0.78, p = 0.002), PTPN22 1858 G > A (rs2476601) (OR: 0.76, 95% CI: 0.58–0.98, p = 0.04), IL18–137 G > C (rs187238) (OR: 0.80, 95% CI: 0.65–0.99, p = 0.04), and IL23R G > A (rs11209026) (OR: 0.60, 95% CI: 0.42–0.87, p = 0.01) were associated with reduced risk of AS (Table 1).

After Bonferroni correction for multiple testing the homozygous variant genotype of TLR1 743 T > C (rs4833095) (OR: 2.59, 95% CI: 1.48–4.51, p = 0.04) and TNFRSF1A -609 G > T (rs4149570) (OR: 1.79, 95% CI: 1.31–2.41, p = 0.01) were associated with increased risk of AS and the combined homozygous and the heterozygous variant genotypes of TNF -308 G > A (rs1800629) (OR: 0.56, 95% CI: 0.44–0.72, p = 0.0002) were associated with reduced risk of AS (Table 2).

SNPs associated with AS and the biological effect of the SNPs are summarized in Table 2.

Haplotype analysis

Haplotype analyses of TLR2, TLR4, IL1B and TNF are shown in Tables 3, 4, 5 and 6, respectively.

The TLR4 haplotype combination 33 (rs12377632TT, rs1554973CC and rs5030728GG) was associated with reduced risk of AS (OR: 0.54, 95% CI: 0.32–0.92, p = 0.03) compared to the haplotype combination 11. In TNF all haplotype combinations were associated with reduced risk of AS compared to the haplotype combination 11 (rs361525GG and rs1800629GG).

No associations were found for haplotype combinations of TLR2 or IL1B.

Discussion

In this case-control study, polymorphisms in a: the TNF-α (TNF (rs1800629 and rs361525), TNFRSF1A (rs4149570), and PTPN22 (rs2476601)), b: the IL23/IL17 (IL23R (rs11209026), and IL18 (rs187238)), or c: the NFkB (TLR1 (rs4833095), TLR4 (rs1554973), and LY96 (rs11465996)) pathways were associated with risk of AS.

The found assocaitions for TNF (rs1800629) [19‐22], TNFRSF1A (rs4149570) [23], and IL23R (rs11209026) [24‐33] are in agreement with other case-control studies. Furthermore, Zhao et al. found that the variant allele of NLRP3 (rs4612666) was associated with increased risk of AS in Chinese patients [23]. In our study we found a trend for associations of the variant allele of NLRP3 (rs4612666) with increased risk of AS (p = 0.06). However, our results are in contrast to a meta-analysis of the PTPN22 (rs2476601) polymorphism that did not find an association with AS [34]. Finally, we identified novel risk loci in TNF (rs361525), IL18 (rs187238), TLR1 (rs4833095), TLR4 (rs1554973), and LY96 (rs11465996) that need validation in independent cohorts.

Most of the SNPs assessed in our study have known biological effects thus allowing a biological interpretation of the observed associations based on increased or reduced gene activity as summarized in Table 2 [35‐47]. The associations observed for the TNF (rs1800629 and rs361525) polymorphisms suggest that reduced TNF-α mRNA level and expression of TNF-α was associated with reduced risk of AS [48, 49]. This is supported by our haplotype analysis which also suggests that the variant alleles of TNF rs1800629 and rs361525 were associated with reduced risk of AS. Likewise, the associations observed for the TNFRSF1A (rs4149570) polymorphism indicates that increased expression of the TNF-α receptor 1 was associated with increased risk of AS [50]. Furthermore, the associations observed for the PTPN22 (rs2476601) polymorphism suggests that reduced TNF-α serum level was associated with reduced risk of AS [51]. Taken together, this suggests that genetically determined high activity of the TNF-α pathway was associated with increased risk of AS.

IL-17 is known to induce the production of many cytokines including TNF-α [6]. IL-18 is a pro-inflammatory cytokine known to enhance the production of IL-17, TNF-α, and IL-1β [8]. In this study, the association observed for the IL23R (rs11209026) polymorphism suggests that reduced IL-17 serum level, and thus reduced TNF-α activity, was associated with reduced risk of AS [52]. Furthermore, the associations observed for the IL18 (rs187238) polymorphism indicates that reduced IL-18 expression, and thus reduced IL-17 and TNF-α activity, was associated with reduced risk of AS [53, 54]. The associations found in the IL23R (rs11209026) and the IL18 (rs187238) polymorphisms thus suggest that a genetically determined high activity of the IL23/IL17 pathway was associated with increased risk of AS. The two SNPs furthermore support that genetically determined high activity of the TNF-α pathway was associated with increased risk of AS. The observed associations between the polymorphisms in IL23R and IL18 and risk of AS are in line with previous studies pointing out the IL23/IL17 pathway as central to the pathophysiology of AS [3, 4, 55].

This study also suggests that the NFkB pathway may be involved in the etiology of AS. The associations observed for the TLR1 (rs4833095) polymorphism suggests that increased TLR1 level was associated with increased risk of AS [56]. High level of TLR1 may lead to increased NFkB activation and thus increased TNF-α and IL-17 activity, which is in line with the other results. However, in contrast to the other results, the associations observed for the LY96 (rs11465996) polymorphism suggests that increased MD-2 (LY96) and TNF-α level was associated with a reduced risk of AS [57]. Finally, the TLR4 (rs1554973) polymorphism was associated with reduced risk of AS which was supported by the haplotype results (Table 4). The biological effect of the TLR4 (rs1554973) polymorphism is unknown, however, the result supports the notion that the NFkB pathway may be involved in the etiology of AS.

Both TNF-α [58] and interleukin-17 inhibitors [59] have been shown to reduce inflammation and improve symptoms in patients with AS [60]. Furthermore, increased levels of TNF-α, IL-17, IL-23, IL-1β, and IL-6 have been found in sera and synovial fluid from AS patients [61‐64]. The genetic associations between AS and the polymorphisms in TLR1, TLR4, LY96, TNF, TNFRSF1A, IL18, and IL23R found in this study, could potentially – in part – explain this altered cytokine milieu present in AS patients.

There are aspects of this study which should be interpreted with care. Conflicting results have been reported for the TNF (rs1800629) polymorphism [48, 49, 65]. Furthermore, the TNF polymorphisms, as well as the HLA-B27 locus, are located on chromosome 6, and there is a risk that even a minor linkage disequilibrium could have confounded our results [2]. TLR1 (rs4833095), TLR2 (rs4696480), TLR4 (rs1554973), TLR9 (rs352139), and TGFB1 (rs1800469) were not in Hardy-Weinberg equilibrium among the healthy controls. Due to the number of polymorphisms analyzed this is probably a type II error. The polymorphisms do not deviate from Hardy-Weinberg equilibrium when corrected for multiple testing. We cannot exclude that some of our positive findings may be due to chance due to the obtained p-values and the number of statistical tests performed. When the results were corrected for multiple testing only the variant allele of TLR1 (rs4833095) and TNFRSF1A (rs4149570) were associated with increased risk of AS and the variant allele of TNF (rs1800629) was associated with reduced risk of AS.

A major strength of this study was that the cohort was rather large including 709 patients with AS and 795 healthy controls and the associations that we report were biologically plausible. Also, the validity of the diagnosis is expected to be high, since the patients were identified via a clinical database that the rheumatologist use for prospective monitoring of patients as part of routine care [66].

Conclusions

In conclusion, we replicated associations between AS and the polymorphism TNF (rs1800629), TNFRSF1A (rs4149570), and IL23R (rs11209026). Furthermore, we identified novel risk loci in TNF (rs361525), IL18 (rs187238), TLR1 (rs4833095), TLR4 (rs1554973), and LY96 (rs11465996) that need validation in independent cohorts. The results suggest that genetically determined high activity of the TNF-α, IL23/IL17, and NFkB pathways increase the risk of AS.

Acknowledgments

We thank Ewa Kogutowska and Mette Errebo Rønne, Statens Serum Institut, for laboratory support; and Niels Steen Krogh, Zitelab Aps, Copenhagen, Denmark for database management. We also thank Department of Medicine, Viborg Regional Hospital, Denmark and OPEN (Odense Patient data Explorative Network), Odense University Hospital, Denmark for supporting this work.

In memory of Niels Henrik Heegaard:

Co-author Niels H.H. Heegaard, Professor, MD, DMSc, DNatSc, died unexpectedly on September 26, 2017, at age 57. As director of the Department of Autoimmunology and Biomarkers, Statens Serum Institut, Copenhagen, Dr. Heegaard advanced research in autoimmunology and neurodegenerative disease. He had an extensive international research network and published more than 200 papers in scientific journals, focusing on biomarkers such as autoantibodies, microRNA, and microparticle proteins. He was a patient and unpretentious collaborator who always sought to highlight the work of other collaborators and co-workers. Dr. Heegaard was characterized by humor, kindness, and optimism. He is survived by his wife and 2 children.

Funding

This study was funded by the Danish Rheumatism Association (A1923, A3037, and A3570 - www. Gigtforeningen.dk) and Region of Southern Denmark’s PhD Fund, 12/7725 (www. Regionsyddanmark.dk).

Availability of data and materials

The datasets used during the current study are available from the corresponding author on reasonable request.

The study was conducted in accordance with the Declaration of Helsinki and was approved by the Regional Ethics Committees of Central (M20100153) and Southern (S-20120113) Denmark and the Danish Data Protection Agency of Central (RM: J. 2010–41-4719) and Southern (RSD: 2008–58-035) Denmark. For blood samples collected after routine TB screening, the Ethics Committees gave exemption from informed consent requirements because samples were taken as part of routine care and data were not identifiable. Written informed consent was obtained from patients donating blood samples at Frederiksberg Hospital as this involved collecting additional samples from patients.

Not applicable.

Competing interests

VA receives compensation as a consultant and for being member of an advisory board for MSD and Janssen. BG has recived research funding from AbbVie, Biogen, Pfizer. The other authors declare no conflicts of interest.

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Titel: Genetically determined high activities of the TNF-alpha, IL23/IL17, and NFkB pathways were associated with increased risk of ankylosing spondylitis
verfasst von: Jacob Sode
Steffen Bank
Ulla Vogel
Paal Skytt Andersen
Signe Bek Sørensen
Anders Bo Bojesen
Malene Rohr Andersen
Ivan Brandslund
Ram Benny Dessau
Hans Jürgen Hoffmann
Bente Glintborg
Merete Lund Hetland
Henning Locht
Niels Henrik Heegaard
Vibeke Andersen
Publikationsdatum: 01.12.2018
Verlag: BioMed Central
Erschienen in: BMC Medical Genetics / Ausgabe 1/2018
Elektronische ISSN: 1471-2350
DOI: https://doi.org/10.1186/s12881-018-0680-z

Springer Medizin

Abstract

Background

Methods

Results

Conclusion

Background

Methods

Patients and samples

Genotyping

Power calculation

Statistical analysis

Results

Study population

Polymorphisms associated with susceptibility of AS

Haplotype analysis

Discussion

Conclusions

Acknowledgments

Funding

Availability of data and materials

Ethics approval and consent to participate

Consent for publication

Competing interests

Publisher’s Note

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