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. 2020 Jan 30;20:26. doi: 10.1186/s12903-020-1002-3

Vitamin D receptor genetic polymorphisms are associated with oral lichen planus susceptibility in a Chinese Han population

Hong Shen 1,#, Qinglan Liu 2,#, Peng Huang 3, Haozhi Fan 3, Feng Zang 3, Mei Liu 3, Lingyun Zhuo 3, Jingjing Wu 3, Guoying Wu 2, Rongbin Yu 3,, Jianrong Yang 4,
PMCID: PMC6993400  PMID: 32000758

Abstract

Background

Vitamin D receptor (VDR) is involved in multiple immune-mediated disorders including oral lichen planus (OLP). This study investigated the association between VDR gene polymorphisms and the risk of OLP.

Methods

In total, 177 OLP patients and 207 healthy participants were recruited from the Affiliated Hospital of Stomatology, Nanjing Medical University. Eight single nucleotide polymorphisms (SNPs: rs731236, rs739837, rs757343, rs2107301, rs2239185, rs7975232, rs11574129 and rs11568820) in the VDR gene were selected and genotyped.

Results

The results showed that OLP risk was increased in subjects with the rs2239185 TT genotype (Recessive model: adjusted Odd ratio(OR) = 2.68, 95% Confidence interval(CI) = 1.28–5.62, P = 0.009) and rs7975232 CC genotype (Recessive model: adjusted OR = 2.25, 95% CI = 1.10–4.58, P = 0.026). Moreover, rs2239185 and rs7975232 (P < 0.01) showed significant cumulative effects on OLP risk.Haplotype analysis showed that the CC haplotype (rs2239185-rs7975232) was associated with an increased risk of OLP (OR = 3.11, 95% CI = 1.42–6.83, P = 0.005), compared with the AC haplotype.

Conclusion: The rs2239185 and rs7975232 variants of VDR may influence OLP susceptibility, and VDR gene polymorphisms may be candidate susceptibility regions for OLP in a Chinese Han population.

Keywords: Oral lichen planus, Vitamin D receptors, Risk, Single nucleotide polymorphisms

Background

Oral lichen planus (OLP) is a chronic inflammatory disease of the oral mucosa mediated by T cells, whose etiology remains unknown. OLP is characterized as dense lymphocyte infiltration and basal keratinocyte degeneration observable under a microscope [1]. OLP, the typical clinical feature of which include white stripes, can manifest as reticular, papular, plaque-like, erosive, atrophic and bullous [2, 3]. Erosive-like lesions are considered to be the most threatening condition and are characterized by pain, ranging from mild discomfort to severe onset [4].The pain seriously affects the patient’s eating experience and food digestion, reducing the patients quality of life.

Previous studies have suggested that vitamin D (VD) deficiency may be associated with an increased risk of some inflammatory diseases, such as OLP and inflammatory bowel disease [5, 6]. OLP patients presented a nearly 50% reduction in mucosal VD levels, which may be caused by immunoreactions [6]. As a ligand-induced transcription factor, vitamin D receptors (VDRs) encoded by the VDR gene (chromosomal location 12q12–14) play an important role in regulating the role of vitamin D [7.8]. Increasing evidence suggests that single nucleotide polymorphisms (SNPs) in vitamin D-related genes could affect the properties of vitamin D, such as its anti-carcinogenic effects [7]. Thus, we speculated that VDR gene polymorphisms may be related to OLP. Since OLP is considered as a potential precancerous lesion, specific SNPs in VDR or vitamin D pathway genes may also play an important role in oral cancer.

Based on the above, we conducted this study in a Chinese Han population to investigate the association between key polymorphisms in VDR genes and OLP susceptibility.

Material and methods

Study groups and samples

Assuming the control group with a mutation frequency of 0.3, OR value of 2, statistical power of 0.8 and Type I error probability of 0.05, the current study may need to recruit 141 case patients and 141 control patients to be able to reject the null hypothesis that the probability is equal to 1. A total of 177 patients with OLP from the Affiliated Hospital of Stomatology, Nanjing Medical University, Jiangsu Province, China were enrolled in this study between January 2017 and June 2018.The inclusion criteria for OLP patients were as follows: (1) > 18 years old; (2) diagnosed as OLP by an oral pathologist using a biopsy specimen; and (3) treatment-naïve (the patient did not receive relevant treatment prior to inclusion in the study). Pregnant women, patients with other oral diseases (for example, lichenoid reaction lesions), patients receiving systemic or topical steroids over the past three months, and patients with autoimmune diseases were excluded. The control group included 207 healthy subjects who underwent a physical examination at the physical examination center and had no oral mucosal lesions, inflammation, infection, or autoimmune diseases such as systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA). The diagnostic criteria used in this study were diagnostic guidelines developed by Van der Meij et al. according to the World Health Organization (WHO) definition of OLP [8].

The oral mucosa of all participants was assessed by two experienced oral medicine specialists. If there was a disagreement between the two examiners, a third clinically experienced oral medicine specialist would make the judgment. The main clinical features, including clinical subtype, affected sites, the number of sites, the presence of cutaneous lesions, and the types of oral lesions and symptoms, were collected for further analyses. All subjects were informed of the purpose of the study and signed the informed consents. Information, such as demographic data, alcohol consumption habits and oral hygiene, were collected by one-to-one surveys using a questionnaire designed according to our research content. Prior to OLP diagnosis, participants who drank more than 20 alcoholic drinks per week were classified as heavy drinkers [9]. The periodontal status of all subjects including the gingival index (GI), periodontal index (PI) and bleeding on probing (BOP) was evaluated in both groups. The oral hygiene of subjects was defined as poor when both GI and PI were ≥ 2, and the BOP was 1. Additionally, 10 ml of venous blood was collected from each subject for biochemical tests and SNP determination.

DNA isolation and genotyping

Genomic DNA was extracted from peripheral blood samples using protease K digestion and phenol/chloroform purification according to a standard protocol. The TaqMan allelic discrimination technology via an ABI 7900HT Sequence Detection system (Applied Biosystems, San Diego, California, USA) was used to explore polymorphisms at the chosen SNPs. Polymerase chain reaction (PCR) was executed with the following thermal profile: 50 twarer 2 min to preheat, 95 °C for 10 min for preincubate, followed by 40 cycles at 95 e with the 50 twarer 2 min to anneal thermal profile. The genotyping results were detected by LightCycler480 real-time PCR (Roche Diagnostics, Mannheim, Germany), with a 100% success rate. Two blank controls were specified to a 384-well format for quality control with 10% of the samples randomly selected as repeat samples, producing 100% concordance.

Information regarding VDR SNPs was acquired from the NCBI dbSNP database (http://www.ncbi.nlm.nih.gov/SNP) and the Chinese Han population database in HapMap (http://www.hapmap.org). All SNPs were selected according to the following criteria: (1) minor allele frequency (MAF) ≥0.05 in the Chinese population and (2) a Hardy-Weinberg equilibrium test P-value ≥0.05. Tag SNPs were chosen to represent a set of variants with strong linkage disequilibrium (LD) [9]. A total of eight SNPs in the VDR gene (rs731236, rs739837, rs757343, rs2107301, rs2239185, rs7975232, rs11574129 and rs11568820) were selected according to the above steps.

Statistical analysis

All analyses were performed in Stata/SE (V.12.0 for Windows). Differences in the demographic characteristics between the case and control groups were analyzed by the Student-t test (for continuous variables) or chi-square (χ2) test (for categorical variables). The relationship between a candidate SNP and OLP risk was estimated by multivariate logistic regression analysis, and the results were expressed as OR and its 95% CI. The heterogeneity between the corresponding subgroups was examined by the Q test. The Cochran-Armitage test was used for trend analysis. Haplotype analysis was performed to explore the relationship between two significant SNPs and OLP risks. The PHASE software (v2.1) was used to estimate the haplotype frequency based on the observed genotypes. The Single-fold view software (version 4.2) was used to analyze LD parameters (i.e., D and r2) [10] and the Thesias software (version 3.1) was used to analyze associations of identified haplotypes in the VDR gene with OLP [11].

Results

Demographic information on 177 OLP patients and 207 healthy subjects is shown in Table 1. There were similar age and gender distributions between the two groups (P = 0.155 and 0.091, respectively). However, compared with the control group, OLP patients had more alcohol consumption and better oral hygiene (P < 0.05).

Table 1.

Characteristics of clinical data between OLP and control group

Variables OLP Control P-value
(n = 177) (n = 207)
Mean age, year 49.20 ± 14.14 48.47 ± 10.88 0.569
  < 45 61 (34.46) 86 (41.55) 0.155
  ≥ 45 116 (65.54) 121 (58.45)
Gender
 Male (%) 49 (27.68) 74 (35.75) 0.091
 Female (%) 128 (72.32) 133 (64.25)
Alcohol
 Heavy 11 (6.21) 2 (0.97) 0.005
 Non Heavy 166 (93.79) 205 (99.03)
Oral hygiene
 Good 131 (74.01) 119 (57.49) 0.001
 Poor 46 (25.99) 88 (42.51)

Abbreviation: OLP oral lichen planus

The genotype distribution of the eight SNPs in the two groups was described using dominant, recessive and additive genetic models in Table 2. The recessive genetic model computed by logistic regression analyses showed that rs2239185 and rs7975232 were significantly associated with OLP susceptibility. Patients carrying the rs2239185-TT genotype (adjusted OR = 2.39, 95%CI = 1.10–5.18, P = 0.027) and rs7975232-CC genotype (adjusted OR = 2.65, 95%CI = 1.24–5.66, P = 0.012) tended to have a higher risk of OLP.

Table 2.

Distribution of VDR genotypes between OLP and control group

Genotype OLP Control OR (95% CI) P-value
rs731236
 CC 154 (87.01) 180 (86.96) 1.00
 CT 21 (11.86) 24 (11.59) 0.99 (0.51–1.91) 0.979
 TT 2 (1.13) 3 (1.45) 0.93 (0.15–6.06) 0.946
 Dominant 0.99 (0.52–1.85) 0.965
 Recessive 0.94 (0.15–6.05) 0.947
 Additive 0.98 (0.57–1.71) 0.954
rs739837
 CC 98 (55.37) 112 (54.11) 1.00
 CA 61 (34.46) 82 (39.61) 0.73 (0.45–1.20) 0.218
 AA 18 (10.17) 13 (6.28) 1.36 (0.60–3.09) 0.468
 Dominant 0.82 (0.51–1.31) 0.404
 Recessive 1.60 (0.73–3.50) 0.242
 Additive 0.98 (0.69–1.41) 0.927
rs757343
 AA 113 (63.84) 128 (61.84) 1.00
 AG 53 (29.94) 73 (35.27) 0.70 (0.43–1.15) 0.163
 GG 11 (6.21) 6 (2.90) 2.06 (0.70–6.13) 0.180
 Dominant 0.81(0.50–1.29) 0.375
 Recessive 2.36 (0.81–6.89) 0.117
 Additive 0.97 (0.66–1.44) 0.893
rs2107301
 CC 83 (46.89) 96 (46.38) 1.00
 CT 79 (44.63) 93 (44.93) 1.03 (0.67–1.60) 0.883
 TT 15 (8.47) 18 (8.70) 1.19 (0.54–2.58) 0.668
 Dominant 1.06 (0.69–1.61) 0.800
 Recessive 1.17 (0.55–2.45) 0.686
 Additive 1.07 (0.77–1.48) 0.706
rs2239185
 CC 90 (50.85) 111 (53.62) 1.00
 CT 62 (35.03) 83 (40.10) 0.78 (0.47–1.27) 0.315
 TT 25 (14.12) 13 (6.28) 2.39 (1.10–5.18) 0.027
 Dominant 1.00 (0.63–1.59) 0.995
 Recessive 2.68 (1.28–5.62) 0.009
 Additive 1.24 (0.88–1.74) 0.206
rs7975232
 AA 81 (45.76) 118 (57.00) 1.00
 AC 70 (39.55) 74 (35.75) 1.36 (0.83–2.23) 0.225
 CC 26 (14.69) 15 (7.25) 2.65 (1.24–5.66) 0.012
 Dominant 1.57 (0.97–2.50) 0.061
 Recessive 2.25 (1.10–4.58) 0.026
 Additive 1.54 (1.09–2.18) 0.014
rs11574129
 CC 119 (67.23) 146 (70.53) 1.00
 CT 50 (28.25) 57 (27.54) 0.97 (0.59–1.61) 0.921
 TT 8 (4.52) 4 (1.93) 2.49 (0.70–8.84) 0.159
 Dominant 1.08 (0.67–1.75) 0.740
 Recessive 2.50 (0.71–8.84) 0.154
 Additive 1.17 (0.78–1.76) 0.439
rs11568820
 AA 61 (34.46) 74 (35.75) 1.00
 AG 81 (45.76) 96 (46.38) 1.10 (0.69–1.76) 0.695
 GG 35 (19.77) 37 (17.87) 1.26 (0.69–2.28) 0.454
 Dominant 1.14 (0.74–1.78) 0.551
 Recessive 1.19 (0.70–2.03) 0.520
 Additive 1.12 (0.83–1.50) 0.455

Logistic regression analyses adjusted for age, gender, alcohol, oral hygiene

Abbreviation:VDR vitamin D receptor, OLP oral lichen planus, OR odds ratio, CI confident interval

The cumulative effects of the two SNPs on OLP were evaluated by the Cochran-Armitage trend test. The results showed that the risk of OLP increased as the number of mutations increased (Table 3). The OLP risk increased in subjects carrying one or both of the rs2239185 and rs7975232 alleles (OR = 2.33, 95% CI = 1.22–4.43). In stratified analyses on the combined variant alleles (rs2239185 and rs7975232) and OLP risk susceptibility, no heterogeneity was observed (Table 4).

Table 3.

Cumulative Effects of rs2239185 and rs7975232 on OLP risk

Variables OLP n(%) Control n(%) OR(95%CI) P-value
0 145 (81.92) 188 (90.82) 1.00
1 13 (7.34) 10 (4.83) 1.82 (0.74–4.48) 0.190
2 19 (10.73) 9 (4.35) 2.87 (1.21–6.81) 0.017*
Trend P a = 0.007
 0 145 (81.92) 188 (90.82) 1.00
 1–2 32 (18.08) 19 (9.18) 2.33 (1.22–4.43) 0.010

Variables are numbers of combined unfavorable alleles (rs2239185-TT and rs7975232-CC)

Logistic regression analyses adjusted for age, gender, alcohol consumption and oral hygiene. Pa-value was analyzed by Cochran-Armitage trend test

Abbreviation: OLP oral lichen planus, OR odds ratio, CI confident interval

Table 4.

Stratified analyses on combined variant alleles (rs2239185 and rs7975232) and OLP risk

Variables OLP risk (0 vs.1–2) OR (95%CI) P a P b
OLP Control
Age, year
  ≥ 45 50/11 75/11 1.69 (0.60–4.71) 0.318 0.457
  < 45 95/21 133/8 3.13 (1.28–7.65) 0.012
Gender
 Male 40/9 58/16 0.61 (0.21–1.72) 0.347 0.267
 Female 105/23 130/3 10.11 (2.82–36.30) < 0.001
Alcohol
 Heavy 8/3 1/1
 Non Heavy 137/29 187/18 2.42 (1.25–4.67) 0.008
Oral hygiene
 Good 109/22 103/16 1.59 (0.75–3.37) 0.231 0.453
 Poor 36/10 85/3 6.47 (1.56–26.90) 0.010

Logistic regression was used in the implicit model to determine the adjusted P a value according to age, gender, alcohol consumption and oral hygiene, heterogeneity was used to test

P b-value

Abbreviation: OLP oral lichen planus, OR odds ratio, CI confident interval

LD information for the two SNPs was shown in Table 5. We performed haplotype analysis to assess the effects of the rs2239185 and rs7975232 haplotype variant alleles on the OLP risk (Table 5). When compared with the most frequent AC haplotype, the CC haplotype was significantly associated with OLP susceptibility (OR = 3.11, 95%CI = 1.42–6.83), which was consistent with the single SNP analysis.

Table 5.

Haplotypes analysis of rs2239185 and rs7975232 with OLP risk

Haplotype OLP n(%) Control n(%) OR P
AC 218 (61.59) 295 (71.26) 1.00 1.00
CT 98 (27.68) 94 (22.70) 1.38 (0.96–1.97) 0.084
CC 24 (6.78) 10 (2.42) 3.11 (1.42–6.83) 0.005
AT 14 (3.95) 15 (3.62) 1.21 (0.55–2.66) 0.633

Logistic regression analyses adjusted for age, gender,alcohol consumption and oral hygiene

SNPs order: rs2239185 and rs797523

To further explore the biological significance of rs2239185 and rs7975232 in VDR, we also searched for expression quantitative trait loci (eQTL) evidence based on the public Genotype-Tissue Expression(GTEx) database (https://gtexportal.org/). We found that the VDR rs2239185 and rs7975232 genotypes were significantly associated with the expression of VDR in whole blood. Mutations associated with VDR rs7975232 and rs2239185 down-regulated of VDR gene expression in whole blood (P = 0.002 and 0.006, respectively, Fig. 1).

Fig. 1.

Fig. 1

a Results of eQTL analysis on VDR rs7975232 loci. in whole blood. b. Results of eQTL analysis on VDR rs2239185 loci. in whole blood

Discussion

OLP is one of the main causes of oral cancer and approximately 0.5 to 2.0% of patients with OLP can progress to malignant transformation [12]. Finding new markers that can effectively identify people at a high risk for OLP can help prevent and control OLP, thereby reducing the progression of malignant transformation. Previous studies have confirmed the role of multiple factors including genetic polymorphisms in OLP susceptibility [13]. The current study aimed to further explore the effects of genetic variation in the VDR gene and related environmental factors on OLP susceptibility in Chinese Han population and the results showed that VDR rs2239185-TT and rs7975232-CC increased the susceptibility to OLP, after adjusting for factors such as drinking and oral hygiene [14, 15].

Vitamin D and its receptors are mainly involved in immune regulation and calcium and phosphorus metabolism regulation. Evidence from population studies suggests that vitamin D deficiency is highly prevalent among the general population in China, which may be related to genetic variation in VDR [16]. Previous studies have shown that VDR genetic variants (such as rs1544410, rs7975232 and rs731236) can participate in the development of various tumors (such as prostate cancer and hepatocellular carcinoma) by affecting the biological effects of vitamin D [17, 18]. Shortly thereafter, vitamin D deficiency was found to be associated to immune-related diseases (systemic lupus erythematosus) and infectious diseases (tuberculosis) [19]. On this basis, our study found the association between the genetic variation of VDR and OLP susceptibility, which further confirmed the findings of Zhao Bin et al. And their study found that the VD/VDR signaling pathway could prevent OLP development by mediating the NF-κB pathway [20]. The current results revealed that mutations in VDR rs2239185 and rs7975232 increased the risk of OLP, and OLP risk increased with increasing adverse alleles. The heterogeneity test suggested that our final results were robust and unaffected by other factors. Additionally, due to the strong LD between VDR rs7975232 and rs2239185, haplotype analysis was further conducted with the results suggested that SNP-SNP interactions in the VDR gene increased susceptibility to OLP, which further validated the single-gene analysis results [2123].

The gene encoding VDR, which is located on chromosome 12q13, consists of 9 exons and 8 introns, and is approximately 75 kb in length [24]. Both rs2239185 and rs7975232 are located in a VDR gene intron, and their polymorphism can affect messenger RNA transcription and protein translation by regulating gene transcription to change the expression and function of VDR [25]. Moreover, the GTEx database showed that VDR expression in the blood was indeed affected by genetic variation associated with rs2239185 and rs7975232. Therefore, we hypothesized that the rs2239185 and rs7975232 variants, as well as the CC haplotypes between the two, may affect VDR expression in whole blood by interfering with transcription. The binding of VD to VDR in whole blood and oral keratinocytes was reduced, preventing the activation of the vitamin D/VDR signaling pathway [20], thereby inhibiting functions related to the VDR signaling pathway, such as anti-inflammatory effects, and eventually led to the occurrence of OLP.

It is worth noting that our findings differ from those of Bojan Kujundzic et al., which found that the genetic polymorphism associated with OLP risk was not VDR rs7975232 but VDR rs2228570 (rs2239185 was not included in the study) [9]. And the haplotype analysis involved rs7975232 and rs731236 suggested that the AT haplotype decreased OLP risk (compared with the most common haplotype CT), further confirming that OLP susceptibility was not caused by a single SNP. Many previous epidemiological studies have shown that the incidence of OLP, clinical symptoms and the mutation rate of VDR genes are different in different ethnic populations, so we speculate that this may also be the main reason for the difference between the two studies [26, 27]. The sample size for this study was smaller than our study (only 65 patients with oral lichen planus and 100 healthy blood donors), and all of study subjects were Caucasian and Serbian. Nonetheless, the results needs to be further confirmed in larger sample cohort studies and functional experimental studies.

We acknowledge that there are limitations in this study. Although various analyses were used to reveal the potential impact of VDR gene polymorphisms on OLP susceptibility, the existing epidemiological evidence presented in this study was not sufficient to speculate on the role of the VDR gene, indicating that our findings require confirmation by functional studies. However, our study also has advantages. First, this is the first study to find genetic evidence that the VDR gene is associated with OLP susceptibility in a Chinese Han population. Second, the sample size of this study is larger than the existing related research [9].

Conclusion

This is the first study to show that genetic mutations in VDR are associated with OLP susceptibility, and that rs2239185 and rs7975232 may be the genetic markers for OLP susceptibility in a Chinese Han population. However, larger scale prospective studies and functional experiments are required to validate our findings.

Acknowledgements

The authors thank Haozhi Fan,Feng Zang,Mei Liu,Lingyun Zhuo and Jingjing Wu for their help with laboratory work.

Abbreviations

BOP

Bleeding on probing

CI

Confidence interval

eQTL

Expression quantitative trait loci

GI

Gingival index

GTEx

Genotype-Tissue Expression

LD

Linkage disequilibrium

MAF

Minor allele frequency

NJMU

Nanjing Medical University

OLP

Oral lichen planus

OR

Odd ratio

PCR

Polymerase chain reaction

PI

Periodontal index

RA

Rheumatoid arthritis

SLE

Systemic lupus erythematosus

SNPs

Single nucleotide polymorphisms

VD

Vitamin D

VDR

Vitamin D receptor

VDRs

Vitamin D receptors

WHO

World Health Organization

Author contributions

HS wrote the paper. HS, PH, RY and JY participated in the design of the study. HS, QL and GW carried out the surveys and experiments. HS, FZ and LZ performed the statistical analysis.ML, LZ, JW and HF contributed materials and analysis tools. All authors read and approved the final manuscript.

Funding

Scientific research Fund of National Health Commission of the People’s republic of China (201502002)

Science and technology development fund project of Nanjing Medical University(2016NJMU056)

Availability of data and materials

The data used and analysis during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

This study was approved by the research and ethical committee of Nanjing Medical University, (ethical review 2017(445), Nanjing, China), and written consent was acquired from the patients.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflict of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Hong Shen and Qinglan Liu contributed equally to this work.

Contributor Information

Rongbin Yu, Email: rongbinyu@njmu.edu.cn.

Jianrong Yang, Email: jrjskq@163.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used and analysis during the current study are available from the corresponding author on reasonable request.


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