Chemokine C-C Motif Ligand 4 Gene Polymorphisms Associated with Susceptibility to Rheumatoid Arthritis

Kuo, Shu-Jui; Huang, Chien-Chung; Tsai, Chun-Hao; Hsu, Horng-Chaung; Su, Chen-Ming; Tang, Chih-Hsin

doi:https://doi.org/10.1155/2018/9181647

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Research Article | Open Access

Volume 2018 | Article ID 9181647 | https://doi.org/10.1155/2018/9181647

Chemokine C-C Motif Ligand 4 Gene Polymorphisms Associated with Susceptibility to Rheumatoid Arthritis

Shu-Jui Kuo,^1,2Chien-Chung Huang,^1,3Chun-Hao Tsai,^2,4Horng-Chaung Hsu,^2,4Chen-Ming Su ,⁵and Chih-Hsin Tang^1,4,6,7

Academic Editor: Fabrizio Montecucco

Received08 Mar 2018

Revised26 Apr 2018

Accepted30 Apr 2018

Published31 May 2018

Abstract

Chemokine C-C motif ligand 4 (CCL4) gene is a chemokine-encoding gene, and the polymorphism of CCL4 gene has been shown to predict risk of various diseases. We want to investigate whether the single nucleotide polymorphisms (SNPs) of the CCL4 gene can predict the risk of rheumatoid arthritis (RA). Between 2007 and 2015, we recruited 217 patients diagnosed with RA and 371 control participants. Comparative genotyping of the rs1634507, rs10491121, and rs1719153 SNPs was performed. When compared with participants with the A/A genotype of rs1719153, those with the A/T genotype were less likely to develop RA, as were those with the A/T+T/T genotype. The protective effect of the T-containing genotype was even more prominent among females. Those with A/T in rs1719153 were 56% less likely to develop RA compared with females with A/A; a similar protective effect was seen for females with the A/T+T/T genotype compared with those with A/A. The GTEx database revealed that patients carrying the T/T genotype had lower levels of CCL4 gene expression than those carrying the A/A genotype. These results indicate that the nucleotide T over the rs1719153 is associated with decreased CCL4 gene expression and decreased risk for RA.

1. Introduction

Rheumatoid arthritis (RA) is an autoimmune disease characterized by marked hypertrophy and hypervascularity of the synovial tissues and joint destruction, affecting around 1% of the global population [1, 2]. Despite the emergence of promising novel therapies in recent years that have enabled a substantial amount of RA patients to achieve disease remission with minimal or no symptoms, a substantial proportion of patients remain treatment-refractory and experience progressive joint and functional destruction or even premature mortality [3, 4]. The mortality rates among the RA patients are 1.5 ~ 1.6 times higher than those among the general population [5, 6]. The risks of major morbidities, including infection and pulmonary and renal disease, are also higher among the RA patients than among the general population [5]. The recognition that genetic factors account for up to 60% of the overall susceptibility and development of RA highlights the importance of research into genetic aberrations of this disease [3, 7, 8]. Investigations into RA genetics may help to facilitate risk prediction for individual patients and tailor their treatment accordingly [3].

Single nucleotide polymorphisms (SNPs) denote the single nucleotide variations occurring at specific sites in the genome with appreciable frequency within the population. Genotyping SNPs of a population and comparing the distribution frequency of SNPs among subgroups (e.g., controls and patients) are frequently utilized to examine disease risk and prognosis, including RA [9–11]. For example, the polymorphisms of the chemokine C-C motif ligand 4 (CCL4) gene influence gene expression and protein function and predict risk and prognosis of various diseases, including hepatocellular carcinoma, oral cancer, and psoriasis [12–14].The CCL4 belongs to a cluster of genes located in the chromosomal region 17q11-q21. The CCL4 protein acts as the chemokine being secreted under mitogenic signals and antigens and attracting monocytes, dendritic cells, natural killer cells, and other effector cells into the site of inflamed or damaged tissue [15, 16]. On the other hand, the interplays between chemokines and chemokine receptors play a pivotal role in RA pathogenesis by mediating leukocyte trafficking to the inflamed synovium [17–19]. Despite the well-known impact of chemokines on RA pathogenesis and the recognition that SNPs of CCL4 gene, a chemokine-encoding gene, play important roles in a variety of human diseases, little is known about the association between CCL4 SNPs and the risk of RA. In this study, we have evaluated the predictive capacity of three CCL4 SNPs as candidate biomarkers for susceptibility to RA.

2. Materials and Methods

2.1. Participants

Between 2007 and 2015, we recruited 217 patients (mean age: 54.95 ± 11.10 years) diagnosed with RA according to the 2010 American College of Rheumatology criteria at Dongyang People’s Hospital, China. A cohort of 371 healthy participants (mean age: 42.18 ± 19.12 years) without a history of RA served as the control group. All participants attended this hospital and were from the same geographic region. This study was approved by the Ethics Committee of Dongyang People’s Hospital and it had appropriate institutional review board approval (2015-YB002). Written informed consent was obtained from all participants.

2.2. Selection of CCL4 Polymorphisms

The CCL4 SNPs selected for this study were identified from multiallelic copy number variation (CNV) profiles encompassing the q12 region of chromosome 17 that includes CCL4 genes. Nonsynonymous SNPs rs1634507, rs10491121 and rs1719153 were chosen using the National Center for Biotechnology Information (NCBI) SNP database of genetic variation.

2.3. Genomic DNA Extraction

Genomic DNA was extracted from peripheral blood leukocytes using the QIAamp DNA Blood Mini Kit (Qiagen, Inc., Valencia, CA, USA) and dissolved in TE buffer (10 mM Tris, 1 mM EDTA; pH 7.8), quantified by OD₂₆₀, and then stored at –20°C for further analysis.

2.4. Real-Time PCR

Sequencing of allelic discrimination for the CCL4 SNP was assessed by the ABI StepOne™ real-time polymerase chain reaction (PCR) system (Applied Biosystems, Foster City, CA, USA) and analyzed using Software Design Specification version 3.0 software (Applied Biosystems) using the TaqMan assay. The primers and probes used in the analysis of the CCL4 gene polymorphisms were rs1634507 (product ID: C_7451708_10), rs10491121 (product ID: C_11626804_10), and rs1719153 (product ID: C_12120537_10). The PCRs were performed in a total volume of 10 μL containing 5 μL of Master Mix, 0.25 μL of probes, and 10 ng of genomic DNA. The real-time PCR reaction included an initial denaturation step at 95°C for 10 minutes, followed by 40 amplification cycles of 95°C for 15 seconds and 60°C for 1 minute [20, 21].

2.5. Bioinformatic Analyses

The study used the Genotype-Tissue Expression (GTEx) dataset (https://www.gtexportal.org/home/) to identify correlations between SNPs and CCL4 expression levels. We hypothesized that this investigation into expression quantitative trait loci (eQTLs) would elucidate the functional role of phenotype-associated SNPs in RA disease processes.

2.6. Statistical Analysis

Between-groups differences were considered significant if values were less than 0.05. The Chi-square analysis tested whether the SNP genotype distributions were in Hardy-Weinberg equilibrium. The Mann–Whitney U test and Fisher's exact test were utilized for between-groups demographic comparisons. Multiple logistic regression models adjusted for confounding covariates estimated the adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for associations between genotype frequencies and the risk of RA or clinicopathological characteristics. All data were analyzed with the software program Statistical Analytic System version 9.1.

3. Results

All study participants were identified as Chinese Han ethnicity (Table 1). Compared to the RA cohort, the control group had a significantly higher proportion of younger-age participants (80.1% versus 67.7%; p=0.001) and fewer females (56.3% versus 83.4%; p< 0.001). At the time of blood sampling, 39.6% of the RA cohort were receiving tumor necrosis factor-alpha (TNF-α) inhibitors, 56.2% were receiving methotrexate, and 54.8% were receiving prednisolone. The majority (84.8%) of RA patients were rheumatoid factor- (RF-) positive.

Polymorphism frequencies in patients and controls are shown in Table 2. All genotypes were in Hardy-Weinberg equilibrium (p>0.05). The most frequent genotypes for SNPs rs10491121, rs1719153, and rs1634507 were A/G, A/T, and A/C, respectively. Compared with participants with the homozygous A/A genotype of SNP rs1719153, those with the heterozygous A/T genotype were significantly less likely to develop RA (AOR 0.67; 95% CI, 0.46 to 0.99; p<0.05), as were those with the A/T+T/T genotype (AOR 0.69; 95% CI, 0.48 to 0.99; p<0.05).

The protective effect of the T-containing genotype was even more prominent among females. Those with A/T in SNP rs1719153 were 56% less likely (AOR 0.56; 95% CI: 0.36-0.88) to develop RA compared with females with A/A; a similar protective effect was seen for females with the A/T+T/T genotype compared with those with A/A (AOR 0.57; 95% CI, 0.38 to 0.87) (Table 4). These findings suggested a protective effect of CCL4 gene polymorphisms for RA, and the effects were more prominent among females.

An analysis of SNP rs1719153 evaluated the impact of the genotype on medication (TNF-α inhibitors, methotrexate, and prednisolone), RF clinical status, and ESR values (Table 3). No apparent associations were found between this genotype and medication use, clinical status, or serum inflammatory markers. No correlations between SNP and treatment regimen or serum pathological markers were observed among the females (data not shown).

The GTEx database revealed that patients carrying the T/T genotype had lower levels of CCL4 gene expression as compared with those carrying the wild-type A/A genotype (p< 0.001) (Figure 1). These results indicate that the nucleotide T over the rs1719153 is associated with the trend towards the decreased CCL4 gene expression.

4. Discussion

It is well recognized that susceptibility for RA disease is influenced by genetic and environmental factors [22, 23]. The recent development of biological-based antirheumatic therapies that target inflammatory pathways in RA has enabled increasing numbers of patients to achieve very low levels of disease activity, yet a substantial proportion of RA patients remain treatment-refractory [3, 24]. This issue underlines the importance of continuing to investigate the pathogenesis of RA. Genetic studies indicate that SNPs in particular susceptibility regions are associated with the risk of RA [3, 25]. Other studies suggest that searching for RA-related SNPs is a promising method to understand the pathogenesis of RA and for risk stratification [26, 27].

Macrophage Inflammatory Proteins (MIPs) belong to the family of chemotactic cytokines. In humans, there are two major forms, MIP-1α and MIP-1β that are now officially named CCL3 and CCL4, respectively. MIP proteins orchestrate acute and chronic inflammatory responses by recruiting proinflammatory cells and are thus a crucial component in the pathogenesis of asthma, granuloma formation, wound healing, arthritis, multiple sclerosis, pneumonia, and psoriasis [16]. Both CCL3 and CCL4 have been reported to be involved in the pathogenesis of RA. A genomewide haplotype association study showed that CCL3 was associated with RA susceptibility [28]. In an analysis of cartilage specimens from RA patients and multiorgan donors who served as controls, RT-PCR and flow cytometry revealed higher intracellular CCL4 expression levels among RA patients [29]. Another study evaluated site-specific levels of inflammatory mediators and corresponding Doppler ultrasound and MRI parameters using tissue samples from 58 synovial sites obtained from 25 patients with RA [30]. The study researchers showed that local CCL4 levels were associated with color Doppler ultrasound activity and RAMRIS synovitis scores. Other researchers have also noticed higher CCL4 expression levels in T cells from RA patients [31]. Histological examination of rheumatoid joints revealed extensive CCL4 expression in sites of lymphocyte infiltration and cell proliferation, leading the study researchers to conclude that CCL4 may substantially mediate the trafficking of reactive molecules involved in RA inflammatory processes. Despite evidence inferring a role for CCL4 in the pathogenesis of RA and the involvement of CCL4 gene SNPs in various human diseases, few studies have investigated the relationship between CCL4 SNPs and risk of developing RA [12, 13, 32].

We have also begun to unravel the complicated pathogenesis of RA [2]. In this study, we sought to determine the prognostic accuracy of CCL4 SNPs in predicting RA onset. To the best of our knowledge, our study is the first to identify that the distribution of rs10491121, rs1719153, and rs1634507 SNPs is associated with RA pathogenesis. We also investigated the association of these CCL4 SNPs with RA treatment regimens and serum pathological markers. We examined three CCL4 SNPs among 371 controls and 271 RA patients. We found that in the general population the A/T genotype at SNP rs1719153 confers a lower risk for RA than the A/A genotype (AOR 0.67; 95% CI, 0.46 to 0.99). Female gender is a well-known risk factor for RA, so we performed a subanalysis of female participants. We demonstrated that the protective effect of the T-containing genotype is even more marked among females; those with the A/T genotype were half as likely to develop RA compared with females carrying the wild-type A/A genotype (AOR 0.56; 95% CI, 0.36 to 0.88). These findings have not been reported up to now.

Polymorphisms in the 3’ flank region of a gene can influence gene expression [33]. We therefore examined whether the rs1719153 SNP identified to be protective against RA was associated with altered levels of CCL4 gene expression. An examination of the GTEx database suggested that the T variant in the rs1719173 SNP is associated with a trend towards a lower level of CCL4 expression as compared with the wild-type A nucleotide, reinforcing our findings. However, the rs1719173 SNP did not correlate with RF or ESR serum levels in the general population and separate analysis of female participants. The role of the rs1719173 SNP in the pathogenesis of RA deserves further investigation.

CCL4-like (CCL4L), a nonallelic copy of chemokine CCL4, differs from CCL4 by only one amino acid [34]. CCL4L has been shown to promote immune cell infiltration, including T helper type 1 cells, regulatory T cells, monocytes, and dendritic cells [32]. Two main types of CCL4L exist: the originally described variant, CCL4L1, and a second variant with a nucleotide change in the intron 2 region, CCL4L2 [35]. CCL4L gene copy number variation also modifies susceptibility to or control of HIV-1 infection [36, 37]. The copy number of CCL4L on the pathogenesis of RA warrants further investigation.

A major limitation to our study is that the observations of our study might be mere cross-relationship instead of actual causality. This is a ubiquitous limitation for similar studies and might be partially overcome by the deeper evaluation trying to select and analyze the relationships between all the known SNP elements.

5. Conclusions

Our study offers novel insights into CCL4 SNPs in regard to RA susceptibility. The A/T genotype in the rs1719153 SNP was associated with decreased RA risk. This is the first study to demonstrate that a correlation exists between CCL4 polymorphisms and RA risk. CCL4 may prove to be a diagnostic marker and therapeutic target for RA therapy. Therapeutic agents that directly or indirectly modulate the expression of CCL4 may be the promising modalities for the treatment of RA.

Data Availability

The original data of this study can be offered by the corresponding authors on reasonable request under the consent of the IRB board of the Dongyang People’s Hospital.

Conflicts of Interest

The authors confirm that they have no financial or personal relationships with other people or organizations that could inappropriately influence this work.

Authors’ Contributions

Shu-Jui Kuo and Chien-Chung Huang contributed equally to this work.

Acknowledgments

The authors are thankful for the language editing by Iona in China Medical University Hospital. This work was supported by grant from China Medical University Hospital (DMR-107-072).

References

F. M. Altaf, T. M. Hering, N. H. Kazmi, J. U. Yoo, and B. Johnstone, “Ascorbate-enhanced chondrogenesis of ATDC5 cells,” European cells & materials, vol. 12, pp. 64–69, 2006.
View at: Google Scholar
C.-Y. Chen, C.-M. Su, C.-J. Hsu et al., “CCN1 promotes vegf production in osteoblasts and induces endothelial progenitor cell angiogenesis by inhibiting mir-126 expression in rheumatoid arthritis,” Journal of Bone and Mineral Research, vol. 32, no. 1, pp. 34–45, 2017.
View at: Publisher Site | Google Scholar
L.-H. Wang, M.-H. Wu, P.-C. Chen et al., “Prognostic significance of high-mobility group box protein 1 genetic polymorphisms in rheumatoid arthritis disease outcome,” International Journal of Medical Sciences, vol. 14, no. 13, pp. 1382–1388, 2017.
View at: Publisher Site | Google Scholar
C. M. Su, C. Y. Huang, and C. H. Tang, “Characteristics of resistin in rheumatoid arthritis angiogenesis,” Biomarkers in Medicine, vol. 10, no. 6, pp. 651–660, 2016.
View at: Publisher Site | Google Scholar
T. Sokka, B. Abelson, and T. Pincus, “Mortality in rheumatoid arthritis: 2008 update,” Clin Exp Rheumatol, pp. S35–S61, 2008.
View at: Google Scholar
S. E. Gabriel, C. S. Crowson, and W. M. O'Fallon, “Mortality in rheumatoid arthritis: Have we made an impact in 4 decades?” The Journal of Rheumatology, vol. 26, no. 12, pp. 2529–2533, 1999.
View at: Google Scholar
C.-F. Kuo, S.-F. Luo, L.-C. See, I.-J. Chou, H.-C. Chang, and K.-H. Yu, “Rheumatoid arthritis prevalence, incidence, and mortality rates: A nationwide population study in Taiwan,” Rheumatology International, vol. 33, no. 2, pp. 355–360, 2013.
View at: Publisher Site | Google Scholar
A. Suzuki and K. Yamamoto, “From genetics to functional insights into rheumatoid arthritis. Clin Exp Rheumatol,” in Clin Exp Rheumatol, vol. 33, supplement 92, pp. S40–S43, 2015.
View at: Google Scholar
Y.-J. Lin, T.-J. Ho, T.-H. Lin et al., “P-coumaric acid regulates exon 12 splicing of the ATP7B gene by modulating hnRNP A1 protein expressions,” BioMedicine (Netherlands), vol. 5, no. 2, pp. 22–30, 2015.
View at: Publisher Site | Google Scholar
T.-C. Li, C.-I. Li, L.-N. Liao et al., “Associations of EDNRA and EDN1 polymorphisms with carotid intima media thickness through interactions with gender, regular exercise, and obesity in subjects in Taiwan: Taichung Community Health Study (TCHS),” BioMedicine (Netherlands), vol. 5, no. 2, pp. 8–14, 2015.
View at: Publisher Site | Google Scholar
B. Bérczi, G. Gerencsér, N. Farkas et al., “Association between AIRE gene polymorphism and rheumatoid arthritis: a systematic review and meta-analysis of case-control studies,” Scientific Reports, vol. 7, no. 1, Article ID 14096, 2017.
View at: Publisher Site | Google Scholar
B. Wang, Y.-E. Chou, M.-Y. Lien, C.-M. Su, S.-F. Yang, and C.-H. Tang, “Impacts of CCL4 gene polymorphisms on hepatocellular carcinoma susceptibility and development,” International Journal of Medical Sciences, vol. 14, no. 9, pp. 880–884, 2017.
View at: Publisher Site | Google Scholar
M.-Y. Lien, C.-W. Lin, H.-C. Tsai et al., “Impact of CCL4 gene polymorphisms and environmental factors on oral cancer development and clinical characteristics,” Oncotarget , vol. 8, no. 19, pp. 31424–31434, 2017.
View at: Publisher Site | Google Scholar
E. Pedrosa, L. Carretero-Iglesia, A. Boada et al., “CCL4L polymorphisms and CCL4/CCL4L serum levels are associated with psoriasis severity,” Journal of Investigative Dermatology, vol. 131, no. 9, pp. 1830–1837, 2011.
View at: Publisher Site | Google Scholar
P. Menten, A. Wuyts, and J. van Damme, “Macrophage inflammatory protein-1,” Cytokine & Growth Factor Reviews, vol. 13, no. 6, pp. 455–481, 2002.
View at: Publisher Site | Google Scholar
M. Maurer and E. von Stebut, “Macrophage inflammatory protein-1,” The International Journal of Biochemistry & Cell Biology, vol. 36, no. 10, pp. 1882–1886, 2004.
View at: Publisher Site | Google Scholar
T. Iwamoto, H. Okamoto, Y. Toyama, and S. Momohara, “Molecular aspects of rheumatoid arthritis: Chemokines in the joints of patients,” FEBS Journal, vol. 275, no. 18, pp. 4448–4455, 2008.
View at: Publisher Site | Google Scholar
C.-H. Tsai, S.-C. Liu, Y.-H. Wang et al., “Osteopontin inhibition of miR-129-3p enhances IL-17 expression and monocyte migration in rheumatoid arthritis,” Biochimica et Biophysica Acta (BBA) - General Subjects, vol. 1861, no. 2, pp. 15–22, 2017.
View at: Publisher Site | Google Scholar
J.-F. Liu, S.-M. Hou, C.-H. Tsai, C.-Y. Huang, C.-J. Hsu, and C.-H. Tang, “CCN4 induces vascular cell adhesion molecule-1 expression in human synovial fibroblasts and promotes monocyte adhesion,” Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, vol. 1833, no. 5, pp. 966–975, 2013.
View at: Publisher Site | Google Scholar
C.-Q. Wang, C.-H. Tang, Y. Wang et al., “FSCN1 gene polymorphisms: Biomarkers for the development and progression of breast cancer,” Scientific Reports, vol. 7, no. 1, Article ID 15887, 2017.
View at: Publisher Site | Google Scholar
W. Hu, P.-Y. Liu, Y.-C. Yang et al., “Association of HMGB1 gene polymorphisms with lung cancer susceptibility and clinical aspects,” International Journal of Medical Sciences, vol. 14, no. 12, pp. 1197–1202, 2017.
View at: Publisher Site | Google Scholar
P.-Y. Chou, C.-M. Su, C.-Y. Huang, and C.-H. Tang, “The Characteristics of Thrombin in Osteoarthritic Pathogenesis and Treatment,” BioMed Research International, vol. 2014, Article ID 407518, 2014.
View at: Publisher Site | Google Scholar
S. Hu, A. Chang, C. Huang, C. Tsai, C. Lin, and C. Tang, “Myostatin Promotes Interleukin-1β Expression in Rheumatoid Arthritis Synovial Fibroblasts through Inhibition of miR-21-5p,” Frontiers in Immunology, vol. 8, 2017.
View at: Publisher Site | Google Scholar
S.-C. Liu, C.-P. Chiu, C.-H. Tsai et al., “Soya-cerebroside, an extract of Cordyceps militaris, suppresses monocyte migration and prevents cartilage degradation in inflammatory animal models,” Scientific Reports, vol. 7, Article ID 43205, 2017.
View at: Publisher Site | Google Scholar
K. Yamamoto, Y. Okada, A. Suzuki, and Y. Kochi, “Genetic studies of rheumatoid arthritis,” Proceedings of the Japan Academy, Series B, vol. 91, no. 8, pp. 410–422, 2015.
View at: Publisher Site | Google Scholar
A. Yarwood, T. W. J. Huizinga, and J. Worthington, “The genetics of rheumatoid arthritis: Risk and protection in different stages of the evolution of RA,” Rheumatology, vol. 55, no. 2, pp. 199–209, 2015.
View at: Publisher Site | Google Scholar
S. Viatte and A. Barton, “Genetics of rheumatoid arthritis susceptibility, severity, and treatment response,” Seminars in Immunopathology, vol. 39, no. 4, pp. 395–408, 2017.
View at: Publisher Site | Google Scholar
R. Zhang, P. Sun, Y. Jiang et al., “Genome-wide haplotype association analysis and gene prioritization identify CCL3 as a risk locus for rheumatoid arthritis,” International Journal of Immunogenetics, vol. 37, no. 4, pp. 273–278, 2010.
View at: Publisher Site | Google Scholar
R. M. Borzì, I. Mazzetti, S. Macor et al., “Flow cytometric analysis of intracellular chemokines in chondrocytes in vivo: Constitutive expression and enhancement in osteoarthritis and rheumatoid arthritis,” FEBS Letters, vol. 455, no. 3, pp. 238–242, 1999.
View at: Publisher Site | Google Scholar
M. Andersen, M. Boesen, K. Ellegaard et al., “Synovial explant inflammatory mediator production corresponds to rheumatoid arthritis imaging hallmarks: A cross-sectional study,” Arthritis Research & Therapy, vol. 16, no. 3, article no. R107, 2014.
View at: Publisher Site | Google Scholar
E. Robinson, E. C. Keystone, T. J. Schall, N. Gillett, and E. N. Fish, “Chemokine expression in rheumatoid arthritis (RA): evidence of RANTES and macrophage inflammatory protein (MIP)-1β production by synovial T cells,” Clinical & Experimental Immunology, vol. 101, no. 3, pp. 398–407, 1995.
View at: Google Scholar
I. Nomura, B. Gao, M. Boguniewicz, M. A. Darst, J. B. Travers, and D. Y. M. Leung, “Distinct patterns of gene expression in the skin lesions of atopic dermatitis and psoriasis: A gene microarray analysis,” The Journal of Allergy and Clinical Immunology, vol. 112, no. 6, pp. 1195–1202, 2003.
View at: Publisher Site | Google Scholar
Z.-X. Duan, P.-F. Zhu, H. Dong et al., “Functional significance of the TLR4/11367 polymorphism identified in Chinese Han population,” Shock, vol. 28, no. 2, pp. 160–164, 2007.
View at: Publisher Site | Google Scholar
W. S. Modi, J. Bergeron, and M. Sanford, “The human MIP-1β chemokine is encoded by two paralogous genes, ACT-2 and LAG-1,” Immunogenetics, vol. 53, no. 7, pp. 543–549, 2001.
View at: Publisher Site | Google Scholar
R. Colobran, R. Pujol-Borrell, M. P. Armengol, and M. Juan, “The chemokine network. I. How the genomic organization of chemokines contains clues for deciphering their functional complexity,” Clinical & Experimental Immunology, vol. 148, no. 2, pp. 208–217, 2007.
View at: Publisher Site | Google Scholar
R. Colobran, P. Adreani, Y. Ashhab et al., “Multiple products derived from two CCL4 Loci: High incidence of a new polymorphism in HIV+ patients,” The Journal of Immunology, vol. 174, no. 9, pp. 5655–5664, 2005.
View at: Publisher Site | Google Scholar
M. Lien, H. Tsai, A. Chang et al., “Chemokine CCL4 Induces Vascular Endothelial Growth Factor C Expression and Lymphangiogenesis by miR-195-3p in Oral Squamous Cell Carcinoma,” Frontiers in Immunology, vol. 9, 2018.
View at: Publisher Site | Google Scholar

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Copyright © 2018 Shu-Jui Kuo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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