# SCUBE3 Is Likely a Susceptibility Gene for Systemic Lupus Erythematosus for Chinese Populations

Authors: Yuan-yuan Qi; Ya-fei Zhao; Ya-ling Zhai; Xiao-xue Zhang; Xiao-yang Wang; Xina-ran Liu; Yan Cui; Xiang-hui Ning; Zhan-Zheng Zhao
Journal: Journal of Immunology Research
 (2020)

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## Abstract

Background. Systemic lupus erythematosus (SLE) is a complex autoimmune disease with strong genetic disposition with more than 100 susceptibility genes identified until now. However, our knowledge on SLE genetic background is still limited. The present study was aimed at evaluating the role of single nucleotide polymorphisms (SNPs) in SCUBE3, a TGF-β signaling activator, with SLE susceptibility in Chinese populations. Methods. A total of 2801 individuals (490 cases and 493 controls from GWAS cohort and 1003 cases and 815 controls from our cohort) were enrolled, and SNPs located 10 kb up- and downstream of SCUBE3 (chr6:35182190-35218609) were included in the genetic association study. Multiple layers of bioinformatics were conducted, and the levels of SCUBE3 expression were confirmed. Results. Of the 31 SNPs in SCUBE3 tested, 24 SNPs were significantly associated with SLE at p≤0.05. The top locus was rs1888822 with p=8.74∗10−6 in the discovery cohort and was confirmed by the replication cohort with p=0.012. Additionally, the levels of SCUBE3 mRNA expression were significantly lower in patients with SLE comparing with healthy controls (p=4.28∗10−4). Further expression data from ArrayExpress showed that the expression of SCUBE3 was also lower in CD3+ T cells and B cells from patients with SLE. Conclusions. Our research revealed that variants in SCUBE3, which encode SCUBE3 as a TGF-β signaling activator, can be considered as a new genetic susceptibility factor for systemic lupus erythematosus. And the reduced mRNA expression of SCUBE3 was first reported in patients with SLE.


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## Body

## 1. Introduction

Systemic lupus erythematosus (SLE) is a complex autoimmune disorder that is characterized by autoantibodies with immune complex deposition leading to multiorgan injury. The pathogenesis of SLE is multifactorial and remains unclear. Extensive research has shown that genetic factor contributes to the pathogenesis of SLE.SCUBE3 encodes signal peptide-CUB-EGF-like domain-containing protein 3 which is a secreted glycoprotein and is expressed during embryonic development in several tissues [1]. SCUBE3 is dispensable for embryonic survival in the mouse [1]. SCUBE3N294K/N294K mutants showed morphological abnormalities of the skeleton, alterations of parameters relevant for bone metabolism, changes in renal function, and hearing impairments [2]. The purified SCUBE3 protein can bound to transforming growth factor-β (TGF-β) type II receptor through the C-terminal CUB domain promoting the activation of TGF-β signaling [3]. It had been well documented that TGF-β plays a protective role in the pathogenesis of SLE. The MRL/lpr murine model of SLE benefits from intramuscular injections of cDNA expression vectors encoding for TGF-β with a prolonged survival [4]. SCUBE3 was associated with autoimmune diseases such as psoriasis and rheumatoid arthritis [5, 6]. Thus, the demonstration of SCUBE3 has garnered our research interest in its possible roles in SLE.Although the study has unveiled the genetic association ofSCUBE3 with serum Vit D levels in Crohn’s Disease (CD) patients [7], the association between variants in the SCUBE3 gene and SLE susceptibility has not yet been elucidated. Therefore, the present study was aimed at evaluating the role of single nucleotide polymorphisms (SNPs) in SCUBE3 with SLE susceptibility in Chinese populations.


## 2. Materials and Methods

### 2.1. Study Population

The study sample comprised two cohorts (the discovery cohort 490 SLE cases vs. 493 healthy controls and replication cohort 1003 SLE cases and 815 healthy controls) comprising 2801 individuals. The discovery cohort was derived from a previously published GWAS cohort from Beijing, north of China [8], and the replication cohort was recruited from the First Affiliated Hospital of Zhengzhou University, middle east of China. All patients were diagnosed based on the 1997 American College of Rheumatology (ACR) revised criteria for SLE. The Ethical Committee of the Medical Ethics Committee of Zhengzhou University First Hospital (2019-KY-134) approved this study.


### 2.2. SNP Selection and Genotyping

We used UCSC Genome Browser 37 (GRCh37/hg19) to acquire the detailed genetic and location information ofSCUBE3. SNPs located 10 kb up- and downstream of SCUBE3 (chr6:35182190-35218609) were included for analysis. 31 SNPs were successfully genotyped by the ImmunoChip array by previous GWAS data (Supplementary Table 1), and the replication cohort was genotyped by Sequenom MassARRAY. The genotyping yield for the replication cohort was over 99% for both SLE cases and healthy controls.


### 2.3. Bioinformatics

The functional annotations of rs1888822 were predicted using the online bioinformatics tools and databases including rSNPBase (http://rsnp.psych.ac.cn/) [9] and RegulomeDB (http://regulome.stanford.edu/) [10]. The QTL analysis was carried out with the GTEx database (https://www.gtexportal.org/home/) [11]. The expression data of SCUBE3 are available at ArrayExpress under accession numbers E-GEOD-13887 [12] and E-GEOD-4588.


### 2.4. The Expression ofSCUBE3 Detection

Whole blood was kept in Trizol (Life Technologies) immediately after collection and stored at -80°C for the detection of gene expression. RNA-seq of systemic lupus erythematosus (SLE) whole blood and healthy controls were conducted to determine the levels ofSCUBE3 expression.


### 2.5. Statistical Analysis

A chi-square test was carried out to compare genotype and allele frequencies of rs1888822 between cases and controls. The clinical manifestations in relation to rs1888822 genotypes were described asmean±standarddeviation or median with range. An independent t-test was performed to test for the differences of SCUBE3 expressions. Statistical analysis was performed using the SPSS 13.0 software (SPSS Inc., Chicago, IL, United States). Values were considered significant at p<0.05.


## 2.1. Study Population

The study sample comprised two cohorts (the discovery cohort 490 SLE cases vs. 493 healthy controls and replication cohort 1003 SLE cases and 815 healthy controls) comprising 2801 individuals. The discovery cohort was derived from a previously published GWAS cohort from Beijing, north of China [8], and the replication cohort was recruited from the First Affiliated Hospital of Zhengzhou University, middle east of China. All patients were diagnosed based on the 1997 American College of Rheumatology (ACR) revised criteria for SLE. The Ethical Committee of the Medical Ethics Committee of Zhengzhou University First Hospital (2019-KY-134) approved this study.


## 2.2. SNP Selection and Genotyping

We used UCSC Genome Browser 37 (GRCh37/hg19) to acquire the detailed genetic and location information ofSCUBE3. SNPs located 10 kb up- and downstream of SCUBE3 (chr6:35182190-35218609) were included for analysis. 31 SNPs were successfully genotyped by the ImmunoChip array by previous GWAS data (Supplementary Table 1), and the replication cohort was genotyped by Sequenom MassARRAY. The genotyping yield for the replication cohort was over 99% for both SLE cases and healthy controls.


## 2.3. Bioinformatics

The functional annotations of rs1888822 were predicted using the online bioinformatics tools and databases including rSNPBase (http://rsnp.psych.ac.cn/) [9] and RegulomeDB (http://regulome.stanford.edu/) [10]. The QTL analysis was carried out with the GTEx database (https://www.gtexportal.org/home/) [11]. The expression data of SCUBE3 are available at ArrayExpress under accession numbers E-GEOD-13887 [12] and E-GEOD-4588.


## 2.4. The Expression ofSCUBE3 Detection

Whole blood was kept in Trizol (Life Technologies) immediately after collection and stored at -80°C for the detection of gene expression. RNA-seq of systemic lupus erythematosus (SLE) whole blood and healthy controls were conducted to determine the levels ofSCUBE3 expression.


## 2.5. Statistical Analysis

A chi-square test was carried out to compare genotype and allele frequencies of rs1888822 between cases and controls. The clinical manifestations in relation to rs1888822 genotypes were described asmean±standarddeviation or median with range. An independent t-test was performed to test for the differences of SCUBE3 expressions. Statistical analysis was performed using the SPSS 13.0 software (SPSS Inc., Chicago, IL, United States). Values were considered significant at p<0.05.


## 3. Results

### 3.1. Association ofSCUBE3 Gene Polymorphisms with Susceptibility to SLE

Of the 31 SNPs tested, 24 SNPs were significantly associated with SLE atp≤0.05 (Supplementary Table 1) [8]. Further, we identified that the most significant susceptibility locus was rs1888822 in the discovery cohort (p=8.74∗10−6, OR 1.54, 95% CI 1.27-1.87) and confirmed the finding in the independent replication cohort (p=0.012, OR 1.202, 95% CI 1.041-1.387) (Table 1). The distributions of genotypes and allele frequencies of SCUBE3 rs1888822 among SLE patients and healthy controls are presented and analyzed in Tables 1 and 2.Table 1
Association of rs1888822 in theSCUBE3 gene with susceptibility to systemic lupus erythematosus.
Chr.GeneSNPPosition (hg19)Minor alleleDiscovery stage (490/493)Replication stage (1003/815)Meta-analysisMAF (case/control %)p valueOR (95% CI)MAF (case/control %)p valueOR (95% CI)p valueOR (95% CI)6SCUBE3rs188882235183149T36.7/28.68.74∗10−61.54 (1.27-1.87)32.0/28.10.0121.202 (1.041-1.387)4.14∗10−61.31 (1.17-1.47)Table 2
Genotype frequency ofSCUBE3 rs1888822 in SLE patients and healthy controls.
rs1888822GenotypeSLEN (%)ControlsN (%)OR (95% CI)p valueCodominantGG461 (46.3)412 (50.9)ReferenceGT431 (43.3)340 (42.0)1.133 (0.933-1.376)0.209TT103 (10.4)58 (7.2)1.587 (1.121-2.248)8.92∗10−3Additive modelGG461 (46.3)412 (50.9)ReferenceTT103 (10.4)58 (7.2)1.587 (1.121-2.248)8.92∗10−3


### 3.2. Association ofSCUBE3 rs1888822 with Clinical Manifestations in SLE

To unveil the possible genetic associations inSCUBE3 rs1888822 with SLE clinical manifestations, a case-only analysis was applied in the replication cohort (Table 3). The presence of malar rash, discoid rash, photosensitivity, oral ulcers, arthritis, serositis, leukopenia, lymphopenia, thrombocytopenia, anti-dsDNA antibody, and anti-Sm antibody was higher in patients with risk T allele. Importantly, SLE patients carrying risk T allele showed significantly higher levels of serum creatinine (Scr) (GT+TT vs. GG, p=0.017). However, after the Bonferroni correction, there was no significant association between SCUBE3 rs1888822 G/T polymorphism and SLE phenotype.Table 3
Correlation between rs1888822 and clinical relevance.
Clinical manifestationsGG (n=461)GT+TT (n=534)p valueGender (male, %)27 (5.9)44 (8.2)0.145Onset age (mean±SD)31±1330±130.349Malar rash (+, %)113 (24.5)138 (25.8)0.630Discoid rash (+, %)2 (0.4)5 (0.9)0.344Photosensitivity (+, %)15 (3.3)27 (5.1)0.159Oral ulcers (+, %)33 (7.2)39 (7.3)0.930Nonerosive arthritis (+, %)125 (27.1)152 (28.5)0.636Pleuritis or pericarditis (+, %)31 (6.7)51 (9.6)0.141Renal disorderScr (median QR)54 (47-65)56 (48-70)0.01724 h UTP (mean±SD)2.07±2.732.80±9.260.316Pathological classifications (I+II/III+IV/V, %)6 (6.8)/71 (80.7)/11 (12.5)13 (11.6)/86 (76.8)/13 (11.6)0.517Neurologic disorder (+, %)19 (4.1)16 (3.0)0.337Hematologic disorderHemolytic anemia (+, %)9 (2.0)9 (1.7)0.753Leukopenia (+, %)107 (23.9)138 (26.2)0.409Lymphopenia (+, %)181 (40.7)220 (42.0)0.680Thrombocytopenia (+, %)109 (24.4)134 (25.5)0.695Immunologic disorderAnti-dsDNA (+, %)257 (62.1)310 (63.9)0.569Anti-Sm (+, %)53 (15.5)78 (19.0)0.211C3 (mean±SD)0.73±0.380.71±0.340.269C4 (mean±SD)0.14±0.120.14±0.140.711SLEDAI (mean±SD)4.6±4.24.7±4.10.828TreatmentsGlucocorticoids (+, %)300 (65.1)351 (65.7)0.841Immunosuppressants (+, %)105 (22.8)111 (20.8)0.448


### 3.3. Functional Annotations of rs1888822

rs1888822 is annotated as a regulatory variant by rSNPBase and rank 4 (4 indicating TF binding+DNase peak) in the RegulomeDB. Further analysis by the GTEx study revealed that rs1888822 was predicted to be a potential eQTL locus associated with the expression ofSCUBE3, DEF6, ZNF76, TCP11, RPL10A, PPARD, and TAF11 in multiple tissues (Supplementary Table 2). In the whole blood, individuals carrying the risk rs1888822 allele were associated with lower expression of DEF6 and ZNF76 expression (Figure 1(a)). The result was also confirmed by the integrated analysis of the expression and genotyping data from the HapMap 3 project (Figure 1(b)).Figure 1
The expression ofSCUBE3 in rs188822 genotypes. Data from GTEx study (a) and the integrated analysis of the expression and genotyping data from the HapMap 3 project (b) showed the expression of SCUBE3 in different rs188822 genotypes.
(a)(b)


### 3.4. Low Expression ofSCUBE3 in SLE Patients

In order to explore the possible role ofSCUBE3 in SLE, we further examined the mRNA expression of SCUBE3 in 75 SLE patients and 24 healthy controls. And the levels of SCUBE3 mRNA expression were significantly lower in patients with SLE comparing with healthy controls (p=4.28∗10−4) (Figure 2(a)). Moreover, we searched public gene expression databases, ArrayExpress, consisting of a large number of whole blood gene expression profiles. We adopted the expression data from CD3 T cells (E-GEOD-13887) and B cells (E-GEOD-4588) from peripheral blood. Comparing with healthy donors, the expression of SCUBE3 was also lower in CD3 T cells (p=0.277) and B cells (p=0.151) from patients with SLE (Figures 2(b) and 2(c)).Figure 2
Low expression ofSCUBE3 in SLE patients. The levels of SCUBE3 mRNA expression in whole blood from our lab and in CD3 T cells (E-GEOD-13887) and B cells (E-GEOD-4588) from the ArrayExpress database.


## 3.1. Association ofSCUBE3 Gene Polymorphisms with Susceptibility to SLE

Of the 31 SNPs tested, 24 SNPs were significantly associated with SLE atp≤0.05 (Supplementary Table 1) [8]. Further, we identified that the most significant susceptibility locus was rs1888822 in the discovery cohort (p=8.74∗10−6, OR 1.54, 95% CI 1.27-1.87) and confirmed the finding in the independent replication cohort (p=0.012, OR 1.202, 95% CI 1.041-1.387) (Table 1). The distributions of genotypes and allele frequencies of SCUBE3 rs1888822 among SLE patients and healthy controls are presented and analyzed in Tables 1 and 2.Table 1
Association of rs1888822 in theSCUBE3 gene with susceptibility to systemic lupus erythematosus.
Chr.GeneSNPPosition (hg19)Minor alleleDiscovery stage (490/493)Replication stage (1003/815)Meta-analysisMAF (case/control %)p valueOR (95% CI)MAF (case/control %)p valueOR (95% CI)p valueOR (95% CI)6SCUBE3rs188882235183149T36.7/28.68.74∗10−61.54 (1.27-1.87)32.0/28.10.0121.202 (1.041-1.387)4.14∗10−61.31 (1.17-1.47)Table 2
Genotype frequency ofSCUBE3 rs1888822 in SLE patients and healthy controls.
rs1888822GenotypeSLEN (%)ControlsN (%)OR (95% CI)p valueCodominantGG461 (46.3)412 (50.9)ReferenceGT431 (43.3)340 (42.0)1.133 (0.933-1.376)0.209TT103 (10.4)58 (7.2)1.587 (1.121-2.248)8.92∗10−3Additive modelGG461 (46.3)412 (50.9)ReferenceTT103 (10.4)58 (7.2)1.587 (1.121-2.248)8.92∗10−3


## 3.2. Association ofSCUBE3 rs1888822 with Clinical Manifestations in SLE

To unveil the possible genetic associations inSCUBE3 rs1888822 with SLE clinical manifestations, a case-only analysis was applied in the replication cohort (Table 3). The presence of malar rash, discoid rash, photosensitivity, oral ulcers, arthritis, serositis, leukopenia, lymphopenia, thrombocytopenia, anti-dsDNA antibody, and anti-Sm antibody was higher in patients with risk T allele. Importantly, SLE patients carrying risk T allele showed significantly higher levels of serum creatinine (Scr) (GT+TT vs. GG, p=0.017). However, after the Bonferroni correction, there was no significant association between SCUBE3 rs1888822 G/T polymorphism and SLE phenotype.Table 3
Correlation between rs1888822 and clinical relevance.
Clinical manifestationsGG (n=461)GT+TT (n=534)p valueGender (male, %)27 (5.9)44 (8.2)0.145Onset age (mean±SD)31±1330±130.349Malar rash (+, %)113 (24.5)138 (25.8)0.630Discoid rash (+, %)2 (0.4)5 (0.9)0.344Photosensitivity (+, %)15 (3.3)27 (5.1)0.159Oral ulcers (+, %)33 (7.2)39 (7.3)0.930Nonerosive arthritis (+, %)125 (27.1)152 (28.5)0.636Pleuritis or pericarditis (+, %)31 (6.7)51 (9.6)0.141Renal disorderScr (median QR)54 (47-65)56 (48-70)0.01724 h UTP (mean±SD)2.07±2.732.80±9.260.316Pathological classifications (I+II/III+IV/V, %)6 (6.8)/71 (80.7)/11 (12.5)13 (11.6)/86 (76.8)/13 (11.6)0.517Neurologic disorder (+, %)19 (4.1)16 (3.0)0.337Hematologic disorderHemolytic anemia (+, %)9 (2.0)9 (1.7)0.753Leukopenia (+, %)107 (23.9)138 (26.2)0.409Lymphopenia (+, %)181 (40.7)220 (42.0)0.680Thrombocytopenia (+, %)109 (24.4)134 (25.5)0.695Immunologic disorderAnti-dsDNA (+, %)257 (62.1)310 (63.9)0.569Anti-Sm (+, %)53 (15.5)78 (19.0)0.211C3 (mean±SD)0.73±0.380.71±0.340.269C4 (mean±SD)0.14±0.120.14±0.140.711SLEDAI (mean±SD)4.6±4.24.7±4.10.828TreatmentsGlucocorticoids (+, %)300 (65.1)351 (65.7)0.841Immunosuppressants (+, %)105 (22.8)111 (20.8)0.448


## 3.3. Functional Annotations of rs1888822

rs1888822 is annotated as a regulatory variant by rSNPBase and rank 4 (4 indicating TF binding+DNase peak) in the RegulomeDB. Further analysis by the GTEx study revealed that rs1888822 was predicted to be a potential eQTL locus associated with the expression ofSCUBE3, DEF6, ZNF76, TCP11, RPL10A, PPARD, and TAF11 in multiple tissues (Supplementary Table 2). In the whole blood, individuals carrying the risk rs1888822 allele were associated with lower expression of DEF6 and ZNF76 expression (Figure 1(a)). The result was also confirmed by the integrated analysis of the expression and genotyping data from the HapMap 3 project (Figure 1(b)).Figure 1
The expression ofSCUBE3 in rs188822 genotypes. Data from GTEx study (a) and the integrated analysis of the expression and genotyping data from the HapMap 3 project (b) showed the expression of SCUBE3 in different rs188822 genotypes.
(a)(b)


## 3.4. Low Expression ofSCUBE3 in SLE Patients

In order to explore the possible role ofSCUBE3 in SLE, we further examined the mRNA expression of SCUBE3 in 75 SLE patients and 24 healthy controls. And the levels of SCUBE3 mRNA expression were significantly lower in patients with SLE comparing with healthy controls (p=4.28∗10−4) (Figure 2(a)). Moreover, we searched public gene expression databases, ArrayExpress, consisting of a large number of whole blood gene expression profiles. We adopted the expression data from CD3 T cells (E-GEOD-13887) and B cells (E-GEOD-4588) from peripheral blood. Comparing with healthy donors, the expression of SCUBE3 was also lower in CD3 T cells (p=0.277) and B cells (p=0.151) from patients with SLE (Figures 2(b) and 2(c)).Figure 2
Low expression ofSCUBE3 in SLE patients. The levels of SCUBE3 mRNA expression in whole blood from our lab and in CD3 T cells (E-GEOD-13887) and B cells (E-GEOD-4588) from the ArrayExpress database.


## 4. Discussion

In recent years, there have been numerous genetic association studies on a variety of SLE susceptibility. However, these genes can only explain a small portion of the genetic liability for SLE, as SLE is widely known to be a polygenic disorder with many risk genes of small effects. In this study, we examined the impact of polymorphisms within theSCUBE3 gene and SLE susceptibility.In the present study, a genetic discovery-replication study was performed and the association between rs1888822SCUBE3 and SLE susceptibility was identified in the Chinese population. In the Korean population, the genetic association result between rs1888822 SCUBE3 and SLE susceptibility was 9.88∗10−4 (OR 1.17, 95% CI 1.06-1.28) [8]. Our research exposed that patients carrying risk T allele (GT+TT genotypes) may have an impact on elevated Scr value which is one of the important biomarkers to assess renal function. Considering the potential vulnerable renal function, SLE patients with risk genotype of rs1888822 SCUBE3 were suggested to monitor serum creatinine and urinalysis more actively. Whether the expression of rs1888822 SCUBE3 was affected by the disease conditions such as high creatinine/renal failure was interesting and well worth to be investigated in separated projects in the future. Despite the correlation between the level of Scr and rs1888822 genotypes, we failed to identify more clues to connect rs1888822 genotypes and clinical manifestations. Replication studies from different populations are required, a large sample size of SLE cases is crucial to confirm our genetic finding, and more clinical connections can be expected to be discovered.SLE is an autoimmune inflammatory disease in which the abnormalities of various pro- and anti-inflammatory cytokines played crucial pathogenic roles. TGF-β was mainly produced by regulatory T cells (Treg) and has both immunoregulatory and proinflammatory properties [13, 14]. The levels of TGF-β were significantly lower in patients with SLE and were negatively correlated with disease activity [15–18]. Disruption of the TGF-β1 gene in mice resulted in immune and inflammatory disorders resembling the symptom of SLE, including the formation of autoantibodies and renal impairment [19–22]. Treatment with ATG+latent TGF-beta1 synergistically inhibited the progression of proteinuria and albuminuria and provided a significant improvement in long-term survival [23]. The above evidences suggested that the protective role of TGF-β1 had been well recognized in the pathogenesis of SLE [24]. The C-terminal CUB domain of SCUBE3 protein can activate TGF-β signaling by bounding to the TGF-β type II receptor [3]. Both data from our lab in whole blood and data from the ArrayExpress database in CD3 T cells (E-GEOD-13887) and B cells (E-GEOD-4588) confirmed the decreased mRNA expression of SCUBE3. Thus, we speculated that the reduced expression of SCUBE3 might contribute to the insufficient activation of the TGF-β signaling pathway promoting the development of SLE. Because our knowledge of SCUBE3 biological function in autoimmune disease remains limited, future biological studies on lupus-prone mice might provide more detailed information and carry out essential clues for SCUBE3 in the pathogenesis of SLE. The function of TGF-β1 is inherently a double-edged sword by acting as both immune suppressor and immune reaction promoter [25, 26]. As a TGF-β signaling activator, additional studies are needed to evaluate the value of targeting SCUBE3 for autoimmune disease therapy.Variants inDEF6 had been confirmed associated with SLE susceptibility with robust evidences [8]. Notably, the concomitant lack of DEF6 and Swap-70 in C57BL/6 mice spontaneously develop a lupus-like syndrome in aging female mice [27]. ZNF76, which functions as a transcriptional repressor, had a strong inhibitory effect on p53 in various cell lines [28]. Bioinformatics analysis indicated rs1888822 was a functional locus, particularly the eQTL effects. Individuals carrying rs1888822 risk T allele were associated with lower expression of DEF6 and ZNF76. Whether rs1888822 promotes the pathogenesis of SLE through the reduced expression of DEF6 or ZNF76 requires further investigation.


## 5. Conclusions

Our research revealed that variants inSCUBE3 can be considered as a new genetic susceptibility factor for systemic lupus erythematosus. Moreover, rs1888822 was a potential functional locus which might promote the pathogenesis of SLE by eQTL effects. Additionally, the reduced mRNA expression of SCUBE3 was first reported in SLE patients.



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