# Polymorphisms in the Osteopontin Are Associated with Susceptibility to Ankylosing Spondylitis in a Han Chinese Population

Authors: Juyi Li; Yi Cai; Zhongjing Wang; Aiping Deng; Guoliang Yang
Journal: BioMed Research International
 (2018)

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## Abstract

The aim of this study was to investigate whether osteopontin(OPN) variants are associated with susceptibility to ankylosing spondylitis (AS) in a Chinese population. Polymorphisms at the 9175th position in exon 7 ofOPN and rs17524488 were genotyped using direct sequencing in 186 unrelated AS patients and 188 ethnically matched healthy controls. Serum concentration of OPN was measured by enzyme-linked immunosorbent assay (ELISA) in all participants. AS patients displayed significantly higher OPN serum levels than the controls (P<001). A heterozygous, novel 9175 T>A in exon 7 of theOPN gene was found in this study. In healthy controls, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype (P<0.05). Plasma OPN level is implicated as an early diagnostic marker of AS. The novel 9175th- (exon 7) position polymorphism ofOPNand rs17524488 were related to susceptibility to AS in a Chinese population, the rs17524488 G/G genotype may be involved in the pathogenesis of AS, and the precise molecular mechanism underlying the influence ofOPN polymorphisms on the development of AS remains to be determined in the further prospective studies.


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## Body

## 1. Introduction

Ankylosing spondylitis (AS) is an autoimmune disease caused by chronic inflammation response and pathological mineralization and usually strikes the males [1, 2]. Incipient symptoms of AS appear before 40 years of and it is characterized by inflammatory back pain and the stiffness and ankylosis of spinal joints [3]. Approximately 0.2–1.4% of the general population suffers from AS, and its incidence is 0.2–0.54% in the Chinese [2, 4].AS is highly heritable and many genetic polymorphisms have been reported to correlate the onset of AS [5].HLA B27 has been reported to be as a major genetic contributor to AS and 90% AS patients are accompanied with the positive HLA B27 [6]; in addition, there are other genetic polymorphisms, such asJMY,PTGER4,JARID1A, andANTXR2 [7, 8]. Although many studies focus on the pathogenesis of AS, the etiology and mechanisms behind AS remain unclear.Osteopontin (OPN) is a secreted phosphoglycoprotein with several functions in different physiological and pathological processes, including bone remodeling process, inflammation, autoimmune responses, and tumorigenesis [9]. Studies have shown that OPN serum levels are higher in some kinds of autoimmune diseases than healthy controls and may influence development of these diseases through enhancing the proinflammatory T helper type 1 (TH1) and TH17 cell responses and inhibiting the TH2 responses [10]. More than 10 SNPs have been identified in theOPN promoter. These polymorphisms may affect the transcriptional activity ofOPN and some of them are thought to be genetic risk factors for disease susceptibility [11–13], of which the rs17524488 (-156 GG/G) polymorphism is most frequently studied, which has been found to associate with several diseases, including hip osteoarthritis [14], cancer [15], and diabetic nephropathy [16].These observations led us to hypothesize that OPN polymorphisms may be involved in the pathogenesis of AS through inflammation and/or the bone remodeling process. However, there have been little studies investigating the association of theOPNpolymorphisms and AS to date. Therefore, the aim of this study was to investigate if an association exists betweenOPN polymorphisms, OPN serum levels, and the risk of AS in a Chinese population.


## 2. Materials and Methods

### 2.1. Subjects

From May 2010 to October 2013, 188 healthy volunteers for physical examination and 186 unrelated AS patients were recruited from the Affiliated Hospital of Ningxia Medical University in a Han Chinese population. All AS patients are HLA-B27 positive. Patients diagnosed with AS according to the modified New York criteria developed in 1984 were included in the study. All of the subjects gave written informed consent. This study was approved by the Ethics Committee of Ningxia Medical University. Two mL fasting venous blood was collected from all subjects; one mL full blood sample was used to extract genomic DNA; however, the other one mL full blood sample was centrifuged (10 minutes at 1160g) to separate the clot material from the solution phase (serum) which was stored at −80°C for further analysis. Genomic DNA was extracted using TIANGEN reagent set (Beijing) following standard protocols; DNA samples were stored at −20°C. Exclusion criteria were patients with diabetes mellitus, cancer, severe liver and kidney failure, and being on therapy for any chronic inflammatory disease. Healthy volunteers as the control group were recruited from the department of physical examination at the same time, and those carrying HLA-B (rs13202464) were excluded.


### 2.2. Information Collection

The following information was collected: sex, age, duration of disease, body mass index (BMI), smoking status, family history of AS, and HLA-B27. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), and Bath Ankylosing Spondylitis Global (BAS-G) score were applied to evaluate the disease activity, physical function, and global wellbeing, respectively. The modified Chinese versions of BASDAI, BASFI, and BAS-G have good intraclass correlation and Cronbach’s alpha [17].


### 2.3. Analysis of Polymorphisms in the OPN Regulatory Region

The 9175th position in exon 7 ofOPN and rs17524488 variants were genotyped by direct sequencing of the sense and antisense strands following polymerase chain reaction (PCR) amplification. A primer pair of the 9175th position was 5′-TACCCTGATGCTACAGACGAGG-3 (forward) and 5′-CTGACTATCAATCACATCGGAATG-3′ (reverse). A primer pair of rs17524488 was 5′-TGTCACTAGTGCCATTTGT-3′ (forward) and 5′-TGTACCTTGGTCGGCGTTTG-3′ (reverse). PCR was performed using 50 ng DNA as a template under the following conditions: 95°C for 3 min, then 35 cycles of 94°C for 30 s, an annealing temperature at 60°C for 45 s, and 72°C for 30 s, with a final extension at 72°C for 10 min. The PCR products were direct sequencing using an automated ABI 3100 DNA sequencer by GeneCore BioTechnologies (Shanghai, China).


### 2.4. OPN ELISA Assay

Serum concentration of OPN was measured by ELISA according to the protocol provided by the manufacturer (Raybiotech, Norcross, USA) in all participants. Serum was diluted as 1 : 10 into sample diluents. The optical density was measured at 450 nm (BioRad, USA).


### 2.5. Statistical Analysis

Statistical analysis was performed using SPSS 15.0 software. One way ANOVA andt-test were used to compare mean differences for continuous variables. Allele frequency was determined via direct counting. Binary logistic regression analysis was used to assess independent predictors of AS. Receiver operating characteristic curve (ROC) analysis was used to find the cut-off point of OPN for predicting AS. Differences in the distribution of genotypes between AS patients and control subjects were examined using the χ2 test, and a statistically significant difference was defined as P<0.05.


## 2.1. Subjects

From May 2010 to October 2013, 188 healthy volunteers for physical examination and 186 unrelated AS patients were recruited from the Affiliated Hospital of Ningxia Medical University in a Han Chinese population. All AS patients are HLA-B27 positive. Patients diagnosed with AS according to the modified New York criteria developed in 1984 were included in the study. All of the subjects gave written informed consent. This study was approved by the Ethics Committee of Ningxia Medical University. Two mL fasting venous blood was collected from all subjects; one mL full blood sample was used to extract genomic DNA; however, the other one mL full blood sample was centrifuged (10 minutes at 1160g) to separate the clot material from the solution phase (serum) which was stored at −80°C for further analysis. Genomic DNA was extracted using TIANGEN reagent set (Beijing) following standard protocols; DNA samples were stored at −20°C. Exclusion criteria were patients with diabetes mellitus, cancer, severe liver and kidney failure, and being on therapy for any chronic inflammatory disease. Healthy volunteers as the control group were recruited from the department of physical examination at the same time, and those carrying HLA-B (rs13202464) were excluded.


## 2.2. Information Collection

The following information was collected: sex, age, duration of disease, body mass index (BMI), smoking status, family history of AS, and HLA-B27. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), and Bath Ankylosing Spondylitis Global (BAS-G) score were applied to evaluate the disease activity, physical function, and global wellbeing, respectively. The modified Chinese versions of BASDAI, BASFI, and BAS-G have good intraclass correlation and Cronbach’s alpha [17].


## 2.3. Analysis of Polymorphisms in the OPN Regulatory Region

The 9175th position in exon 7 ofOPN and rs17524488 variants were genotyped by direct sequencing of the sense and antisense strands following polymerase chain reaction (PCR) amplification. A primer pair of the 9175th position was 5′-TACCCTGATGCTACAGACGAGG-3 (forward) and 5′-CTGACTATCAATCACATCGGAATG-3′ (reverse). A primer pair of rs17524488 was 5′-TGTCACTAGTGCCATTTGT-3′ (forward) and 5′-TGTACCTTGGTCGGCGTTTG-3′ (reverse). PCR was performed using 50 ng DNA as a template under the following conditions: 95°C for 3 min, then 35 cycles of 94°C for 30 s, an annealing temperature at 60°C for 45 s, and 72°C for 30 s, with a final extension at 72°C for 10 min. The PCR products were direct sequencing using an automated ABI 3100 DNA sequencer by GeneCore BioTechnologies (Shanghai, China).


## 2.4. OPN ELISA Assay

Serum concentration of OPN was measured by ELISA according to the protocol provided by the manufacturer (Raybiotech, Norcross, USA) in all participants. Serum was diluted as 1 : 10 into sample diluents. The optical density was measured at 450 nm (BioRad, USA).


## 2.5. Statistical Analysis

Statistical analysis was performed using SPSS 15.0 software. One way ANOVA andt-test were used to compare mean differences for continuous variables. Allele frequency was determined via direct counting. Binary logistic regression analysis was used to assess independent predictors of AS. Receiver operating characteristic curve (ROC) analysis was used to find the cut-off point of OPN for predicting AS. Differences in the distribution of genotypes between AS patients and control subjects were examined using the χ2 test, and a statistically significant difference was defined as P<0.05.


## 3. Results

### 3.1. Subject Characteristics

As was shown in Table1, a total of 374 subjects were enrolled in this study, containing 186 cases and 188 controls. The clinical characteristics such as age, sex, body mass index (BMI), and smoking status had no significant difference between the case and control groups (all P>0.05). Family history has significant difference between the case and control groups (P < 0.05). In AS subjects, all patients were HLA-B27 positive and their mean disease duration, mean BASDAI, mean BASFI, and mean BAS-G scores were 5.67±0.28, 4.23±0.06, 2.79±0.06, and 4.38±0.09, respectively.Table 1
Characteristics of AS patients and healthy control (mean ± SEM).
Variable
Case (%)
Control (%)
P
Gender
Male
9
6 (51.61)
100 (53.19)
0.760
Female
90 (48.39)
88 (46.81)
Age (years)
27.24
±
0.68
28.90
±
0.68
0.084
BMI (kg/m2)
24.68
±
0.29
25.17
±
0.21
0.166
Disease duration (years)
5.67
±
0.28
—
—
BASDAI (0–10)
4.23
±
0.06
—
—
BASFI (0–10)
2.79
±
0.06
—
—
BAS-G (0–10)
4.38
±
0.09
—
—
Family history
Yes
25 (13.44)
12 (6.38)
0.022
No
161 (86.56)
176 (93.62)
Smoking status
Yes
85 (45.70)
92 (48.94)
0.531
No
101 (54.30)
96 (51.06)
Significant values are written in italics.


### 3.2. Association ofOPN Genetic Polymorphisms with the Disease Activity Index in AS Patients

We analyzed the relationship between disease activity index (BASDAI, BASFI, and BAS-G) and the two polymorphisms ofOPN in AS patients. No significant association betweenOPN polymorphisms and BASDAI, BASFI, or BAS-G (all P>0.05) was found. However, we failed to improve the significance even after adjustment for the effects of age, sex, BMI, smoking status, and family history (Table 2).Table 2
Difference in the scores of BASDAI, BASFI, and BAS-G among AS patients stratified by different AS genotype.
SNP
Genotype
Number (%)
BASDAI
BASFI
BAS-G
9175 (exon 7)
TT
142 (76.34)
4.21
±
0.07
2.79
±
0.07
4.34
±
0.10
TA
44 (23.66)
4.30
±
0.12
2.80
±
0.12
4.50
±
0.18
UnadjustedP value
0.561
0.965
0.422
AdjustedP value
0.614
0.795
0.334
rs17524488
GG/GG
102 (54.84)
4.20
±
0.08
2.79
±
0.08
4.37
±
0.12
G/G
84 (45.16)
4.27
±
0.09
2.79
±
0.11
4.38
±
0.13
UnadjustedP value
0.529
0.948
0.961
AdjustedP value
0.545
0.988
0.821
Data represent means± SEM, adjusted for the effects of age, sex, BMI, family history, smoking status, and disease duration.


### 3.3. Increased Levels of OPN in AS Patients and Diagnostic Value of OPN for AS

Serum concentration of OPN was measured in 186 AS patients and 188 ethnically matched healthy controls by ELISA, even after adjusting for confounding risk factors (age, sex, BMI, smoking status, and family history), which shows that AS patients displayed significantly higher OPN serum levels (median, 217.76; range, 102.02–468.65 ng/mL) than the controls (median, 156.99; range, 51.56–321.54 ng/mL) in Figure1 and Table 3 (P<001).Table 3
Risk factors for AS by binary logistic regression analysis.
OR
95% CL for OR
P
O
R
∗
95% CL forOR∗
P
∗
Sex
1.065
0.710–1.599
0.760
/
/
/
Age
0.981
0.959–1.003
0.085
/
/
/
BMI
0.959
0.904–1.018
0.167
/
/
/
Family history
2.277
1.108–4.682
0.025
/
/
/
Smoking status
0.878
0.585–1.318
0.531
/
/
/
OPN
1.011
1.007–1.014
0.000
1.011
1.007–1.014
0.000
CI, confidence interval. Logistic regression models were used to calculate OR.Adjusted∗ for gender, age, BMI, family history, and smoking status. Significant values are written in italics.Figure 1
Serum concentration of OPN in AS patients and healthy controls. Compared with healthy controls, the serum levels of OPN in AS patients were significantly elevated (P∗<0.01).Taking AS as the dependent variable, the risk factors (gender, age, BMI, family history, and smoking status) were entered into binary logistic regression analysis. After adjusting for the risk factors, plasma levels of OPN remained with a significant association with an increased odds ratio (OR) for AS (P<0.001). ROC curve analysis was performed to verify the diagnostic accuracy of OPN for AS. The area under curve (AUC) of OPN was 0.71 (95% confidence intervals (CI) 0.662–0.764, P<0.001) and the optimal cut-off point for siglec-5 was 131.7 ng/mL. At this level, the Youden index = 0.313, sensitivity was 42.2% (95% CI 0.349–0.494); specificity was 89.25% (95% CI 0.839–0.933). The AUC of OPN + confounding risk factors was 0.73 (95% CI 0.676–0.776, P<0.001), which was higher than that of OPN, but this did not reach the level of statistical significance (P>0.05) (Figure 2).Figure 2
Analysis of ROC curve to detect OPN in AS patients. In ROC analysis, the AUC of Siglec-5 was 0.71; the AUC of confounding risk factors was 0.73.


### 3.4. OPN Polymorphisms Are Associated with AS Patients

DNA fragments from 9041 to 9292 in exon 7 of theOPN gene and one known polymorphism (rs17524488) were analyzed using direct sequencing in 186 AS patients and 188 ethnically matched healthy controls. We found a heterozygous, novel 9175 T>A in exon 7 of theOPN gene, and there is a small insertion at nt-156 (rs17524488), which has only two alleles: G/G and GG/GG. Overall distributions of genotypes ofOPN gene 9175 and rs17524488 were significantly different in AS patients controls (all P<0.005). Frequencies of allele A and allele G were all higher in AS patients than in the controls (all P<0.005), indicating that subjects who carried allele A or allele G have a significantly higher risk of developing AS (Table 4). The results of DNA sequencing were shown in Figure 3.Table 4
Frequencies of genotypes and alleles ofOPN in AS patients and healthy control.
Genotype/allele
Case (n=186), n (%)
Control (n=188), n (%)
OR (95% CL)
P
9175 (exon 7)
Genotype
TT
142 (76.34)
164 (87.23)
1.853 (1.177–2.918)
0.006
TA
44 (23.66)
24 (12.77)
Allele
T
328 (88.17)
352 (93.62)
1.853 (1.151–2.983)
0.01
A
44 (11.83)
24 (6.38)
rs17524488
Genotype
GG/GG
102 (54.84)
124 (65.96)
1.327 (1.029–1.711)
0.028
G/G
84 (45.16)
64 (34.04)
Allele
GG
204 (54.84)
248 (65.96)
1.327 (1.108–1.588)
0.002
G
168 (45.16)
128 (34.04)
Significant values are written in italics.Figure 3
The results of DNA sequencing.


### 3.5. OPN Polymorphisms Are Associated with the OPN Levels

As shown in Figure4, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype (P∗<0.05), but there were no significant associations between TT or TA genotypes with OPN serum levels in healthy controls. However, there were no significant associations betweenOPN genotypes and OPN serum levels in AS patients.Figure 4
OPN polymorphisms are associated with the OPN levels. In healthy controls, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype (P∗<0.05).


## 3.1. Subject Characteristics

As was shown in Table1, a total of 374 subjects were enrolled in this study, containing 186 cases and 188 controls. The clinical characteristics such as age, sex, body mass index (BMI), and smoking status had no significant difference between the case and control groups (all P>0.05). Family history has significant difference between the case and control groups (P < 0.05). In AS subjects, all patients were HLA-B27 positive and their mean disease duration, mean BASDAI, mean BASFI, and mean BAS-G scores were 5.67±0.28, 4.23±0.06, 2.79±0.06, and 4.38±0.09, respectively.Table 1
Characteristics of AS patients and healthy control (mean ± SEM).
Variable
Case (%)
Control (%)
P
Gender
Male
9
6 (51.61)
100 (53.19)
0.760
Female
90 (48.39)
88 (46.81)
Age (years)
27.24
±
0.68
28.90
±
0.68
0.084
BMI (kg/m2)
24.68
±
0.29
25.17
±
0.21
0.166
Disease duration (years)
5.67
±
0.28
—
—
BASDAI (0–10)
4.23
±
0.06
—
—
BASFI (0–10)
2.79
±
0.06
—
—
BAS-G (0–10)
4.38
±
0.09
—
—
Family history
Yes
25 (13.44)
12 (6.38)
0.022
No
161 (86.56)
176 (93.62)
Smoking status
Yes
85 (45.70)
92 (48.94)
0.531
No
101 (54.30)
96 (51.06)
Significant values are written in italics.


## 3.2. Association ofOPN Genetic Polymorphisms with the Disease Activity Index in AS Patients

We analyzed the relationship between disease activity index (BASDAI, BASFI, and BAS-G) and the two polymorphisms ofOPN in AS patients. No significant association betweenOPN polymorphisms and BASDAI, BASFI, or BAS-G (all P>0.05) was found. However, we failed to improve the significance even after adjustment for the effects of age, sex, BMI, smoking status, and family history (Table 2).Table 2
Difference in the scores of BASDAI, BASFI, and BAS-G among AS patients stratified by different AS genotype.
SNP
Genotype
Number (%)
BASDAI
BASFI
BAS-G
9175 (exon 7)
TT
142 (76.34)
4.21
±
0.07
2.79
±
0.07
4.34
±
0.10
TA
44 (23.66)
4.30
±
0.12
2.80
±
0.12
4.50
±
0.18
UnadjustedP value
0.561
0.965
0.422
AdjustedP value
0.614
0.795
0.334
rs17524488
GG/GG
102 (54.84)
4.20
±
0.08
2.79
±
0.08
4.37
±
0.12
G/G
84 (45.16)
4.27
±
0.09
2.79
±
0.11
4.38
±
0.13
UnadjustedP value
0.529
0.948
0.961
AdjustedP value
0.545
0.988
0.821
Data represent means± SEM, adjusted for the effects of age, sex, BMI, family history, smoking status, and disease duration.


## 3.3. Increased Levels of OPN in AS Patients and Diagnostic Value of OPN for AS

Serum concentration of OPN was measured in 186 AS patients and 188 ethnically matched healthy controls by ELISA, even after adjusting for confounding risk factors (age, sex, BMI, smoking status, and family history), which shows that AS patients displayed significantly higher OPN serum levels (median, 217.76; range, 102.02–468.65 ng/mL) than the controls (median, 156.99; range, 51.56–321.54 ng/mL) in Figure1 and Table 3 (P<001).Table 3
Risk factors for AS by binary logistic regression analysis.
OR
95% CL for OR
P
O
R
∗
95% CL forOR∗
P
∗
Sex
1.065
0.710–1.599
0.760
/
/
/
Age
0.981
0.959–1.003
0.085
/
/
/
BMI
0.959
0.904–1.018
0.167
/
/
/
Family history
2.277
1.108–4.682
0.025
/
/
/
Smoking status
0.878
0.585–1.318
0.531
/
/
/
OPN
1.011
1.007–1.014
0.000
1.011
1.007–1.014
0.000
CI, confidence interval. Logistic regression models were used to calculate OR.Adjusted∗ for gender, age, BMI, family history, and smoking status. Significant values are written in italics.Figure 1
Serum concentration of OPN in AS patients and healthy controls. Compared with healthy controls, the serum levels of OPN in AS patients were significantly elevated (P∗<0.01).Taking AS as the dependent variable, the risk factors (gender, age, BMI, family history, and smoking status) were entered into binary logistic regression analysis. After adjusting for the risk factors, plasma levels of OPN remained with a significant association with an increased odds ratio (OR) for AS (P<0.001). ROC curve analysis was performed to verify the diagnostic accuracy of OPN for AS. The area under curve (AUC) of OPN was 0.71 (95% confidence intervals (CI) 0.662–0.764, P<0.001) and the optimal cut-off point for siglec-5 was 131.7 ng/mL. At this level, the Youden index = 0.313, sensitivity was 42.2% (95% CI 0.349–0.494); specificity was 89.25% (95% CI 0.839–0.933). The AUC of OPN + confounding risk factors was 0.73 (95% CI 0.676–0.776, P<0.001), which was higher than that of OPN, but this did not reach the level of statistical significance (P>0.05) (Figure 2).Figure 2
Analysis of ROC curve to detect OPN in AS patients. In ROC analysis, the AUC of Siglec-5 was 0.71; the AUC of confounding risk factors was 0.73.


## 3.4. OPN Polymorphisms Are Associated with AS Patients

DNA fragments from 9041 to 9292 in exon 7 of theOPN gene and one known polymorphism (rs17524488) were analyzed using direct sequencing in 186 AS patients and 188 ethnically matched healthy controls. We found a heterozygous, novel 9175 T>A in exon 7 of theOPN gene, and there is a small insertion at nt-156 (rs17524488), which has only two alleles: G/G and GG/GG. Overall distributions of genotypes ofOPN gene 9175 and rs17524488 were significantly different in AS patients controls (all P<0.005). Frequencies of allele A and allele G were all higher in AS patients than in the controls (all P<0.005), indicating that subjects who carried allele A or allele G have a significantly higher risk of developing AS (Table 4). The results of DNA sequencing were shown in Figure 3.Table 4
Frequencies of genotypes and alleles ofOPN in AS patients and healthy control.
Genotype/allele
Case (n=186), n (%)
Control (n=188), n (%)
OR (95% CL)
P
9175 (exon 7)
Genotype
TT
142 (76.34)
164 (87.23)
1.853 (1.177–2.918)
0.006
TA
44 (23.66)
24 (12.77)
Allele
T
328 (88.17)
352 (93.62)
1.853 (1.151–2.983)
0.01
A
44 (11.83)
24 (6.38)
rs17524488
Genotype
GG/GG
102 (54.84)
124 (65.96)
1.327 (1.029–1.711)
0.028
G/G
84 (45.16)
64 (34.04)
Allele
GG
204 (54.84)
248 (65.96)
1.327 (1.108–1.588)
0.002
G
168 (45.16)
128 (34.04)
Significant values are written in italics.Figure 3
The results of DNA sequencing.


## 3.5. OPN Polymorphisms Are Associated with the OPN Levels

As shown in Figure4, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype (P∗<0.05), but there were no significant associations between TT or TA genotypes with OPN serum levels in healthy controls. However, there were no significant associations betweenOPN genotypes and OPN serum levels in AS patients.Figure 4
OPN polymorphisms are associated with the OPN levels. In healthy controls, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype (P∗<0.05).


## 4. Discussion

In this study, a heterozygous, novel 9175 T>A in exon 7 of theOPN gene and rs17524488 were significantly associated with a genetic predisposition for AS. Patients with AS had higher serum levels of OPN compared with controls, even after adjusting for confounding risk factors. However, the rs17524488 G/G genotype of theOPN was significantly correlated with an increased OPN serum level compared to the GG/GG genotype in healthy controls, which suggests that rs17524488 G/G genotype may be involved in the pathogenesis of AS. This is the first study to demonstrate a strong relationship between the 9175th- (exon 7) position polymorphism ofOPNor rs17524488 and AS patients.We first considered the possibility thatOPN polymorphisms are related to the inflammatory process in AS. It has been reported that patients with AS had significantly higher plasma OPN, TNF-alpha, and IL-6 levels and more mRNA expression than healthy controls. The plasma OPN level was correlated with serum ALP, OCN, and CTX-I levels, but not with disease activity in AS. OPN might be involved in bone remodeling rather than in inflammation in AS [18]. In this study, no significant association betweenOPN polymorphisms and disease activity index (all P>0.05) was found, and we also found that patients with AS had significantly higher plasma OPN than healthy controls which is consistent with them [18]. We found a heterozygous, novel 9175 T>A in exon 7 of theOPN gene, and distributions of genotypes ofOPN gene 9175 and rs17524488 were significantly different in AS patients controls. Frequencies of allele A and allele G were all higher in AS patients than in the controls, indicating that subjects who carried allele A or allele G have a significantly higher risk of developing AS (OR = 1.853 or OR = 1.327). In addition, subjects carrying the rs17524488 G/G genotype of theOPN display significantly higher OPN serum levels than the GG/GG genotype in healthy controls, strongly indicating that the rs17524488 G/G genotype of theOPNmay be involved in the pathogenesis of AS. Thus, the mechanism by which this polymorphism contributes to AS susceptibility is less clear. There is evidence suggesting that OPN acts as a proinflammatory cytokine and plays an important role in regulating inflammation [18]; subjects carrying polymorphism loci of theOPN will be more sensitive to the immune response; in addition, it might be relevant in the regulation of OPN production in response to the initial immunostimulating trigger.So far, genetic variants in theOPN gene have shown being involved in susceptibility to other immune-mediated diseases such as systemic lupus erythematosus [19], Crohn’s disease [20], rheumatoid arthritis [21], and lupus nephritis [22]. In addition, overexpression of OPN has been described in several basic inflammatory processes, such as arthritis [23], myocardial remodeling after infarction [24], kidney interstitial fibrosis after obstructive uropathy [25], wound healing [26], and several types of cancer [27], where it is demonstrated thatOPN gene polymorphism and OPN levels play important roles in immune- and inflammatory-mediated diseases, including AS.There are some limitations of the present study that should be considered. Large sample study needs to be explored further. Although this case-control study revealed a strong relationship between the 9175th- (exon 7) position polymorphism ofOPNor rs17524488 and AS patients, the precise molecular mechanism underlying the influence ofOPN polymorphisms on the development of AS remains to be determined in further prospective studies.


## 5. Conclusions

In conclusion, plasma OPN level is implicated as an early diagnostic marker of AS; the novel 9175th- (exon 7) position polymorphism ofOPNor rs17524488 was related to susceptibility to AS in a Chinese population; the rs17524488 G/G genotype may be involved in the pathogenesis of AS, and the precise molecular mechanism underlying the influence ofOPN polymorphisms on the development of AS remains to be determined in further prospective studies.



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*Source: 3458439-2018-01-18.xml*