Evaluation of WNT Signaling Pathway Gene Variants WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 in Patients with Dupuytren’s Contracture
by
Gediminas Samulėnas
1,*, 
Alina Smalinskienė
2,3,*,
Rytis Rimdeika
1, 
Kęstutis Braziulis
1,
Mantas Fomkinas
1 and
Rokas Paškevičius
4 1
Department of Plastic and Reconstructive Surgery, Lithuanian University of Health Sciences, LT 50009 Kaunas, Lithuania
2
Laboratory of Molecular Cardiology, Institute of Cardiology, Lithuanian University of Health Sciences, LT 50103 Kaunas, Lithuania
3
Institute of Biology Systems and Genetics Research, Lithuanian University of Health Sciences, LT 50103 Kaunas, Lithuania
4
Faculty of Medicine, Lithuanian University of Health Sciences, LT 50009 Kaunas, Lithuania
*
Authors to whom correspondence should be addressed.
Genes 2021, 12(9), 1293; https://doi.org/10.3390/genes12091293
Submission received: 3 August 2021
/
Revised: 20 August 2021
/
Accepted: 20 August 2021
/
Published: 24 August 2021
(This article belongs to the Collection Genotype-Phenotype Study in Disease)
Abstract
:Dupuytren’s contracture (DC) represents a chronic fibroproliferative pathology of the palmar aponeurosis, which leads to flexion contractures of finger joints and hand disability. In recent decades, the WNT signaling pathway has been revealed to play a significant role in the manifestation and pathogenesis of DC. Our study aimed to evaluate the associations between Dupuytren’s contracture and WNT-related single-nucleotide polymorphisms: Wnt Family Member 7B (WNT7B) rs6519955 (G/T), Secreted Frizzled Related Protein 4 (SFRP4) rs17171229 (C/T) and R-spondin 2 (RSPO2) rs611744 (A/G). We enrolled 216 patients (113 DC cases and 103 healthy controls), and DNA samples were extracted from the peripheral blood. Genotyping of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 was performed using the Real-Time PCR System 7900HT from Applied Biosystems. WNT7B rs6519955 genotype TT carriers were found to possess a higher prevalence of DC (OR = 3.516; CI = 1.624–7.610; p = 0.001), whereas RSPO2 rs611744 genotype GG appears to reduce the likelihood of the manifestation of DC nearly twofold (OR = 0.484, CI = 0.258–0.908, p = 0.024). In conclusion, SNPs WNT7B rs6519955 and RSPO2 rs611744 are associated with the development of Dupuytren’s contracture: WNT7B rs6519955 TT genotype increases the chances by 3.5-fold, and RSPO2 rs611744 genotype GG appears to attenuate the likelihood of the manifestation of DC nearly twofold. Findings of genotype distributions among DC patients and control groups suggest that SFRP4 rs17171229 is not significantly associated with development of the disease.
1. Introduction
Dupuytren’s contracture (DC) represents a chronic fibroproliferative pathology of the palmar aponeurosis, which leads to flexion contractures of finger joints and hand disability. Genetic factors play a major role in the development of this condition; however, the exact cause remains unknown [1,2,3,4,5,6]. DC mainly affects middle-aged and elderly males and is mostly prevalent in Northern European populations, along with sporadic cases worldwide [7,8]. Recent decades have demonstrated great discoveries, narrowing the research range of DC towards distinct molecular mechanisms. The most important finding is the role of the WNT signaling pathway in the pathogenesis of Dupuytren’s contracture [2,4,9,10,11,12,13,14,15,16,17,18,19,20]. WNT genes encode proteins responsible for extracellular signaling. Alterations in this molecular transduction system are associated with fibrosis and a variety of diseases, including cancer [2,4,9,12,19]. Interestingly, the development of DC, due to its chronic proliferative nature, actually resembles an oncologic process—early Dupuytren’s contracture is histopathologically similar to fibrosarcoma [19]. The link between Dupuytren’s contracture and WNT signaling pathway was determined by locating abundant levels of β-catenin in the palmar fibro-aponeurotic tissue—the histological sequel of DC [11,12]. This multifunctional protein is the key factor of the WNT/β-catenin (canonical) pathway. Due to decreased degradation, β-catenin accumulates in the nucleus, binding to specific targets and activates prospective target genes [12]. SNPs from six loci (WNT2 (rs4730775) (p = 3.0 × 10−8; OR, 0.83), WNT4 (rs7524102) (p = 2.8 × 10−9; OR, 1.28), SFRP4 (rs16879765) (p = 5.6 × 10−39; OR, 1.98), SULF1 (rs2912522) (p = 2.0 × 10−13; OR, 0.72), RSPO2 (rs611744) (p = 7.9 × 10−15; OR, 0.75) and WNT7B (rs6519955) (p = 3.2 × 10−33; OR, 1.54), harboring genes linked to the WNT signaling pathway, were discovered in a genome-wide association study by Dolmans et al., directly proving the association between Dupuytren’s contracture and this complex biosignaling system [4]. These results were later further endorsed and supplemented by Becker et al., providing even more WNT-related genes involved in the pathogenesis of DC [5].
We took the opportunity to evaluate the diversity of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 between DC patients and healthy controls in a Lithuanian population. To the best of our knowledge, this is the frst genetic study of Dupuytren’s contracture in the Lithuanian population, who reside in a region with greatly increased genetic susceptibility to this illness [7,8].
2. Materials and Methods
This study included patients receiving day-case surgical treatment in the Department of Plastic and Reconstructive Surgery, Hospital of LUHS. A total of 216 patients accepted to participate and had their peripheral blood samples collected—there were 113 DC patients and 103 healthy controls. Detailed group demographics and characteristics are summarized in Table 1. The study group included patients with a clinical diagnosis of Dupuytren’s contracture. The control group comprised randomly selected patients who exhibited no clinical signs of DC or stenosing tenosynovitis, had no family history of DC, and had not been diagnosed or treated for this condition before [7,20]. Patients aged <30 years were not included in this study. Data on general medical status and underlying illnesses were acquired on examination and from medical records. All patients represented the same ethnic group of native Lithuanians.
2.1. Ethics Statement
Permissions to implement this study were granted by Kaunas Regional Biomedical Research Ethics Committee (No. BE-2-21, 2019-03-08) and the Department of Bioethics, LUHS (BEC-MF-63. 2017-10-23). All patients provided a written informed consent according to the Declaration of Helsinki.
2.2. DNA Extraction and Genotyping
Genotyping of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 was performed at the Molecular Cardiology Laboratory, LUHS. Blood samples for DNA extraction were harvested to EDTA tubes. DNA from peripheral blood leucocytes was obtained using a Thermo Fisher Scientific genomic DNA purification kit according to the manufacturer’s recommendations. Single-nucleotide polymorphisms were estimated by using an Applied Biosystems genotyping kits (WNT7B gene (rs6519955) C__11519407_1, SFRP4 gene (rs17171229) C__34101042_20 and RSPO2 gene (rs611744) C___1295706_20). A Real-Time PCR System 7900HT (Applied Biosystems, Foster City, CA, USA) was employed for SNP discovery. The cycling program was initiated by heating at 95 °C for 10 min, followed by 40 cycles (15 s at 95 °C and 1 min at 60 °C). Finally, allelic discrimination was performed using Applied Biosystems SDS 2.3 software.
2.3. Statistical Analysis
Statistical analysis was performed using the SPSS Statistics software (version 27.0). Data are provided as absolute numbers with percentages. Frequency scores of genotypes are expressed in percentages. The distributions of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 between groups were analyzed using the chi-squared test. Binary logistic regression was used to evaluate the impact of the studied genotypes for the development of DC. Results were statistically significant when p was less than 0.05.
3. Results
3.1. Distributions of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 Genotypes between Patients with Dupuytren’s Contracture and Control Subjects
The distributions of WNT7B gene variant rs6519955, SFRP4 gene variant rs17171229 and RSPO2 gene variant rs611744 between patients with Dupuytren’s contracture and controls are provided in Table 2. Genotype frequencies did not deviate from the Hardy–Weinberg equilibrium (HWE) (p > 0.05). We found statistically significant differences in distributions of WNT7B rs6519955 and RSPO2 rs611744 gene profiles between the DC group and healthy controls (Table 2).
Binary logistic regression analysis revealed that WNT7B rs6519955 genotype TT increased the chances of developing Dupuytren’s contracture by 3.5-fold (OR = 3.516; CI = 1.624–7.610; p = 0.001), whereas the RSPO2 rs611744 genotype GG appeared to attenuate the likelihood of the manifestation of DC nearly twofold (OR = 0.484, CI = 0.258–0.908, p = 0.024) (Table 3).
3.2. WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 Genotypes and Positive Family History
The relationship between our examined genotypes and the incidence of DC cases among relatives of DC patients was evaluated. In the DC group, 34 out of 113 cases were hereditary DCs. We found borderline statistical significance between SFRP4 rs17171229 gene variants and a family history of Dupuytren’s contracture. The other two examined SNPs (WNT7B rs6519955 and RSPO2 rs611744) did not exhibit statistically significant differences in terms of heritability (Table 4).
3.3. Other Correlations
No statistically significant differences were found when evaluating WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 gene variants and daily physical labor, previously sustained hand injuries (traumatic injuries and surgeries, excluding surgical treatment of DC), DC stages, and the severity of DC diathesis (bilateral involvement, positive family history, <50 years of age on the onset of DC, male gender) [7]. Additionally, we did not observe any statistical significance when comparing the combined impact of genotype versions of both WNT7B rs6519955 and SFRP4 rs17171229 and the occurrence of DC. However, we found a higher number of smokers in the DC group (Table 5). Patients smoking >1 cigarette/week were considered smokers. Non-smokers included patients who denied any usage of tobacco products in the past or had quit smoking at least 10 years previously.
4. Discussion
This is the first study evaluating genetic characteristics of Dupuytren’s contracture in a Lithuanian population. The Northern European region falls into the area of increased genetic susceptibility to DC [7,8]. Palmar fibromatous cords—the clinical hallmarks of Dupuytren’s contracture—suggest a variety of cellular and cytokine imbalances, most notably, the domination of III type collagen, reinless myofibroblast proliferation, high levels of β-catenin and decreased fibroblast apoptosis [2,3,17,19]. This has led to a proven connection between the WNT signaling pathway and DC. [2,4,9,10,11,12,13,14,15,16,17,18,19,20]. Moreover, fibrosis as a general process in human diseases is closely linked with aberrant activity of the canonical (β-catenin) WNT pathway [18]. The latter is also a major pathway of oncogenic biosignaling [21,22,23,24]. This explains why DC pathogenesis during early stages may histopathologically mimic an oncological process [19]. Gene expression studies have showed the upregulation of WNT7B and SFRP4 genes in the diseased palmar fibromatous nodes, compared to the unaffected palmar fascia. Upregulation and close association with α-smooth muscle actin (α-SMA) and β-catenin-expressing cells makes WNT7B a likely pro-fibrotic agent for DC [17]. On the background of increased WNT activity, WNT proteins (including WNT7B) promote the impairment of β-catenin degradation. This leads to the accumulation of β-catenin inside the nucleus, binding to T cell factor (TCF) family and lymphoid enhancer-binding protein family (LEF) transcription factors, thus activating transcription. This step-by-step array of biochemical reactions is best described by Moon et al [12]. Our study showed that the WNT7B rs6519955 genotype TT increases the likelihood of DC by 3.5-fold (p = 0.001; odds ratio, 3.516). This finding is consistent with the data from the GWAS by Dolmans et al., where this SNP displayed the most significant associations with DC (p = 3.2 × 10−33; odds ratio, 1.54) [4].
Another SNP—RSPO2 rs611744—also reached genome-wide significance in the same GWAS by Dolmans et al. (p = 7.9 × 10−15; odds ratio, 0.75), highlighting the RSPO2 rs611744 genotype GG as a remissive factor towards DC [4]. Congruent data came from the study by Ng et al. of the RSPO2 rs611744 genotype GG (p = 9.92 × 10−16, odds ratio, 0.794) [23]. We also found the RSPO2 rs611744 genotype GG to act as an attenuating element in connection with DC (p = 0.024; odds ratio, 0.484). R-spondins represent a small group of extracellular ligands, separate from WNT proteins, which are involved in the upregulation of the canonical WNT system. R-spondins act by binding to LRP5/6 (low-density lipoprotein receptor-related protein 5/6) and frizzled receptors, thus promoting β-catenin signaling. Moreover, they have an antagonistic role against a WNT suppressor—Dickkopf protein (DKK)—by competing against it for binding to the same LRP5/6 [24].
In contrast, we did not observe a link between SFRP4 rs17171229 and DC. SFRPs play an inhibitory role towards WNT signaling. The role of SFRPs in the pathogenesis of DC was proven by Dolmans et al., although they highlighted a different SNP. However, our chosen SNP (SFRP4 rs17171229) did not exhibit any significant association with Dupuytren’s contracture. This finding is converse to the data published in other studies [4,5]. We believe that this is due to a limitation of our study—a small sample size.
We have coincidentally discovered higher rates of smoking among DC patients compared to controls (p = 0.021). The effect of cigarette smoking is linked to vascular occlusion and microangiopathy, leading to chronic ischemic state of the palmar fascia and harmful effects of free radicals [10]. However, the association between smoking and Dupuytren’s contracture is controversial [25,26,27].
Our findings in relation to WNT7B rs6519955 and RSPO2 rs611744 were consistent with the recent observations by other authors [4,5]. The results from a newly examined population support existing evidence on the role of WNT signaling in the development of Dupuytren’s contracture. Major progress in this field could possibly provide therapeutic possibilities for an illness which currently has no etiological treatment options available [28,29,30,31]. However, SNPs discovered to date represent just a part of the whole mechanism of DC pathogenesis, leaving much to research further.
5. Conclusions
Single-nucleotide polymorphisms WNT7B rs6519955 and RSPO2 rs611744 are associated with the development of Dupuytren’s contracture: WNT7B rs6519955 genotype TT increases the chances by 3.5-fold and RSPO2 rs611744 genotype GG appears to attenuate the likelihood of the manifestation of DC nearly twofold. Findings of genotype distributions among DC patients and control groups suggest that SFRP4 rs17171229 is not significantly associated with the development of disease.
Author Contributions
Conceptualization, G.S. and A.S.; methodology, G.S. and A.S.; software, G.S. and K.B.; validation, G.S., A.S. and R.R.; formal analysis, G.S.; investigation, G.S., M.F., R.P. and K.B.; resources, G.S.; data curation, G.S.; writing—original draft preparation, G.S.; writing—review and editing, G.S. and A.S.; visualization, G.S.; supervision, A.S.; project administration, G.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Kaunas Regional Biomedical Research Ethics Committee (No. BE-2-21, 8 March 2019), and the Department of Bioethics, LUHS (BEC-MF-63, 23 October 2017).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper.
Data Availability Statement
Data supporting the reported results are available directly from the main author upon request.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Gabbiani, G.; Majno, G. Dupuytren’s contracture: Fibroblast contraction? An ultrastructural study. Am. J. Pathol. 1972, 66, 131. [Google Scholar] [PubMed]
- Zhang, A.Y.; Kargel, J.S. The basic science of Dupuytren disease. Hand Clin. 2018, 34, 301–305. [Google Scholar] [CrossRef] [PubMed]
- Tripoli, M.; Cordova, A.; Moschella, F. Update on the role of molecular factors and fibroblasts in the pathogenesis of Dupuytren’s disease. J. Cell Commun. Signal. 2016, 10, 315–330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dolmans, G.H.; Werker, P.M.; Hennies, H.C.; Furniss, D.; Festen, E.A.; Franke, L.; Becker, K.; Van Der Vlies, P.; Wolffenbuttel, B.H.; Tinschert, S.; et al. Wnt signaling and Dupuytren’s disease. New Engl. J. Med. 2011, 365, 307–317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Becker, K.; Siegert, S.; Toliat, M.R.; Du, J.; Casper, R.; Dolmans, G.H.; Werker, P.M.; Tinschert, S.; Franke, A.; Gieger, C.; et al. Meta-analysis of genome-wide association studies and network analysis-based integration with gene expression data identify new suggestive loci and unravel a wnt-centric network associated with Dupuytren’s disease. PLoS ONE 2016, 11, e0158101. [Google Scholar] [CrossRef] [PubMed]
- Becker, K.; Tinschert, S.; Lienert, A.; Bleuler, P.; Staub, F.; Meinel, A.; Rößler, J.; Wach, W.; Hoffmann, R.; Kühnel, F.; et al. The importance of genetic susceptibility in Dupuytren’s disease. Clin. Genet. 2015, 87, 483–487. [Google Scholar] [CrossRef]
- Hindocha, S. Risk Factors, Disease Associations, and Dupuytren Diathesis. Hand Clin. 2018, 34, 307–314. [Google Scholar] [CrossRef]
- DiBenedetti, D.B.; Nguyen, D.; Zografos, L.; Ziemiecki, R.; Zhou, X. Prevalence, incidence, and treatments of Dupuytren’s disease in the United States: Results from a population-based study. Hand 2010, 6, 149–158. [Google Scholar] [CrossRef] [Green Version]
- Mosakhani, N.; Guled, M.; Lahti, L.; Borze, I.; Forsman, M.; Pääkkönen, V.; Ryhänen, J.; Knuutila, S. Unique microRNA profile in Dupuytren’s contracture supports deregulation of β-catenin pathway. Mod. Pathol. 2010, 23, 1544–1552. [Google Scholar] [CrossRef] [Green Version]
- Al-Qattan, M.M. Factors in the Pathogenesis of Dupuytren’s Contracture. J. Hand Surg. 2006, 31, 1527–1534. [Google Scholar] [CrossRef]
- Varallo, V.M.; Gan, B.S.; Seney, S.; Ross, D.C.; Roth, J.H.; Richards, R.S.; McFarlane, R.M.; Alman, B.; Howard, J.C. Beta-catenin expression in Dupuytren’s disease: Potential role for cell—matrix interactions in modulating beta-catenin levels in vivo and in vitro. Oncogene 2003, 22, 3680–3684. [Google Scholar] [CrossRef] [Green Version]
- Moon, R.T.; Kohn, A.D.; De Ferrari, G.V.; Kaykas, A. WNT and β-catenin signalling: Diseases and therapies. Nat. Rev. Genet. 2004, 5, 691–701. [Google Scholar] [CrossRef]
- Nunn, A.; Schreuder, F.B. Dupuytren’s contracture: Emerging insight into a viking disease. Hand Surg. 2014, 19, 481–490. [Google Scholar] [CrossRef]
- Shih, B.; Tassabehji, M.; Watson, J.S.; Bayat, A. DNA copy number variations at chromosome 7p14.1 and chromosome 14q11.2 are associated with Dupuytren’s disease. Plast. Reconstr. Surg. 2012, 129, 921–932. [Google Scholar] [CrossRef]
- Anderson, E.R.; Ye, Z.; Caldwell, M.D.; Burmester, J.K. SNPs Previously associated with Dupuytren’s disease replicated in a North American cohort. Clin. Med. Res. 2014, 12, 133–137. [Google Scholar] [CrossRef] [Green Version]
- Van Beuge, M.M.; Dam, E.-J.P.T.; Werker, P.M.; Bank, R.A. Wnt pathway in Dupuytren disease: Connecting profibrotic signals. Transl. Res. 2015, 166, 762–771. [Google Scholar] [CrossRef]
- Dam, E.-J.P.M.T.; Van Beuge, M.M.; Bank, R.A.; Werker, P.M.N. Further evidence of the involvement of the Wnt signaling pathway in Dupuytren’s disease. J. Cell Commun. Signal. 2016, 10, 33–40. [Google Scholar] [CrossRef] [Green Version]
- Xu, L.; Cui, W.; Zhou, W.; Li, D.; Li, L.-C.; Zhao, P.; Mo, X.; Zhang, Z.; Gao, J. Activation of Wnt/β-catenin signalling is required for TGF-β/Smad2/3 signalling during myofibroblast proliferation. J. Cell. Mol. Med. 2017, 21, 1545–1554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Erdmann, M.; Quaba, A.; Sommerlad, B. Epithelioid sarcoma masquerading as Dupuytren’s disease. Br. J. Plast. Surg. 1995, 48, 39–42. [Google Scholar] [CrossRef]
- Yang, K.; Gehring, M.; Eddine, S.B.Z.; Hettinger, P. Association between stenosing tenosynovitis and Dupuytren’s contracture in the hand. Plast. Reconstr. Surg. Glob. Open 2019, 7, e2088. [Google Scholar] [CrossRef]
- Lv, Z.-D.; Yang, Z.-C.; Liu, X.-P.; Jin, L.-Y.; Dong, Q.; Qu, H.-L.; Li, F.-N.; Kong, B.; Sun, J.; Zhao, J.-J.; et al. Silencing of Prrx1b suppresses cellular proliferation, migration, invasion and epithelial-mesenchymal transition in triple-negative breast cancer. J. Cell. Mol. Med. 2016, 20, 1640–1650. [Google Scholar] [CrossRef] [PubMed]
- Zhan, T.; Rindtorff, N.; Boutros, M. Wnt signaling in cancer. Oncogene 2017, 36, 1461–1473. [Google Scholar] [CrossRef] [PubMed]
- Ng, M.; Thakkar, D.; Southam, L.; Werker, P.; Ophoff, R.; Becker, K.; Nothnagel, M.; Franke, A.; Nürnberg, P.; Espirito-Santo, A.I.; et al. A genome-wide association study of Dupuytren disease reveals 17 additional variants implicated in fibrosis. Am. J. Hum. Genet. 2017, 101, 417–427. [Google Scholar] [CrossRef] [Green Version]
- Rao, T.P.; Kühl, M. An updated overview on Wnt signaling pathways. Circ. Res. 2010, 106, 1798–1806. [Google Scholar] [CrossRef] [PubMed]
- An, H.S.; Southworth, S.R.; Jackson, W.T.; Russ, B. Cigarette smoking and Dupuytren’s contracture of the hand. J. Hand Surg. 1988, 13, 872–874. [Google Scholar] [CrossRef]
- Burge, P.; Hoy, G.; Regan, P.; Milne, R. Smoking, alcohol and the risk of Dupuytren’s contracture. J. Bone Jt. Surgery. Br. Vol. 1997, 79, 206–210. [Google Scholar] [CrossRef]
- Descatha, A.; Carton, M.; Mediouni, Z.; Dumontier, C.; Roquelaure, Y.; Goldberg, M.; Zins, M.; Leclerc, A. Association among work exposure, alcohol intake, smoking and Dupuytren’s disease in a large cohort study (GAZEL). BMJ Open 2014, 4, e004214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jung, J.; Kim, G.W.; Lee, B.; Joo, J.W.J.; Jang, W. Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease. BMC Med. Genom. 2019, 12, 1–10. [Google Scholar] [CrossRef]
- Huisstede, B.M.A.; Hoogvliet, P.; Coert, J.H.; Fridén, J. Dupuytren disease. Plast. Reconstr. Surg. 2013, 132, 964e–976e. [Google Scholar] [CrossRef] [Green Version]
- Mandel, D.R.; Demarco, P.J. Overview of the pathogenesis, diagnosis and treatment of Dupuytren’s disease. Int. J. Clin. Rheumatol. 2014, 9, 217–225. [Google Scholar] [CrossRef]
- Verjee, L.S.; Verhoekx, J.S.N.; Chan, J.K.K.; Krausgruber, T.; Nicolaidou, V.; Izadi, D.; Davidson, D.; Feldmann, M.; Midwood, K.S.; Nanchahal, J. Unraveling the signaling pathways promoting fibrosis in Dupuytren’s disease reveals TNF as a therapeutic target. Proc. Natl. Acad. Sci. USA 2013, 110, E928–E937. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Table 1.
Characteristics of study groups.
| Dupuytren’s Contracture | Control Group | p-Value | |
|---|---|---|---|
| Gender: | p < 0.05 * | ||
| Male | 97 (85.8%) | 68 (66%) | |
| Female | 16 (14.2%) | 35 (34%) | |
| Total | 113 (100%) | 103 (100%) | |
| Age (years) | |||
| Male | 59.57 (SD 10.82) | 59.22 (SD 14.26) | p > 0.05 |
| Female | 64.13 (SD 8.59) | 57.6 (SD 12.66) | p < 0.05 |
| Total | 60.21 (SD 10.62) | 58.67 (SD 13.69) | p > 0.05 |
SD, standard deviation; * Chi-squared comparison of patients’ gender between study groups.
Table 2.
Distribution of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 genotypes in DC and control groups.
Table 2.
Distribution of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 genotypes in DC and control groups.
| SNP | Genotype | DC Group n = 113 | Control Group n = 103 | p-Value |
|---|---|---|---|---|
| WNT7B rs6519955 | GG | 24 (21.2%) | 32 (31.1%) | p = 0.003 |
| GT | 58 (51.3%) | 61 (59.2%) | ||
| TT | 31 (27.4%) | 10 (9.7%) | ||
| GG + GT | 82 (72.6%) | 93 (90.3%) | p = 0.001 | |
| TT | 31 (27.4%) | 10 (9.7%) | ||
| SFRP4 rs17171229 | CC | 7 (6.2%) | 5 (4.9%) | p > 0.05 |
| CT | 41 (36.3%) | 23 (22.3%) | ||
| TT | 65 (57.5%) | 75 (72.8%) | ||
| CT + TT | 106 (93.8%) | 98 (95.1%) | p > 0.05 | |
| CC | 7 (6.2%) | 5 (4.9%) | ||
| RSPO2 rs611744 | AA | 39 (34.5%) | 20 (19.4%) | p = 0.015 |
| AG | 53 (46.9%) | 50 (48.5%) | ||
| GG | 21 (18.6%) | 33 (32%) | ||
| AA + AG | 92 (81.4%) | 70 (68%) | p = 0.023 | |
| GG | 21 (18.6%) | 33 (32%) |
DC, Dupuytren’s contracture; SNP, single-nucleotide polymorphism; statistically significant results in bold (when p < 0.05).
Table 3.
The impact of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 on the development of DC.
Table 3.
The impact of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 on the development of DC.
| SNP | Genotype | OR (95% CI) | p-Value |
|---|---|---|---|
| WNT7B rs6519955 | TT vs. GT | 4.133 (1.701–10.043) | 0.002 |
| TT vs. GG | 3.260 (1.467–7.244) | 0.004 | |
| TT vs. GT + GG | 3.516 (1.624–7.610) | 0.001 | |
| SFRP4 rs17171229 | CC vs. CT | 1.615 (0.489–5.335) | 0.431 |
| CC vs. TT | 0.785 (0.224–2.758) | 0.706 | |
| CC vs. CT + TT | 1.294 (0.398–4.212) | 0.668 | |
| RSPO2 rs611744 | GG vs. AG | 0.326 (0.151–0.703) | 0.004 |
| GG vs. AA | 0.600 (0.307–1.173) | 0.135 | |
| GG vs. AG + AA | 0.484 (0.258–0.908) | 0.024 |
SNP, single-nucleotide polymorphism; OR, odds ratio; statistically significant results in bold (when p < 0.05).
Table 4.
Distribution of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 genotypes in the DC group by heritability.
Table 4.
Distribution of WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 genotypes in the DC group by heritability.
| SNP | Genotype | Positive Family History | Negative Family History | p-Value |
|---|---|---|---|---|
| WNT7B rs6519955 | GG | 5 | 19 | p > 0.05 |
| GT | 19 | 39 | ||
| TT | 10 | 21 | ||
| Total | 34 | 79 | ||
| SFRP4 rs17171229 | CC | 2 | 5 | p = 0.05 |
| CT | 18 | 23 | ||
| TT | 14 | 51 | ||
| Total | 34 | 79 | ||
| RSPO2 rs611744 | AA | 13 | 26 | p > 0.05 |
| AG | 12 | 41 | ||
| GG | 9 | 12 | ||
| Total | 34 | 79 |
SNP, single-nucleotide polymorphism; statistically significant results in bold (when p <= 0.05).
Table 5.
Distribution of smokers and non-smokers between patient groups.
| DC Group | Control Group | ||
|---|---|---|---|
| Smokers | 39 | 21 | p = 0.021 |
| Non-smokers | 74 | 82 |
Statistically significant results in bold (when p <= 0.05).
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Samulėnas, G.; Smalinskienė, A.; Rimdeika, R.; Braziulis, K.; Fomkinas, M.; Paškevičius, R. Evaluation of WNT Signaling Pathway Gene Variants WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 in Patients with Dupuytren’s Contracture. Genes 2021, 12, 1293. https://doi.org/10.3390/genes12091293
AMA Style
Samulėnas G, Smalinskienė A, Rimdeika R, Braziulis K, Fomkinas M, Paškevičius R. Evaluation of WNT Signaling Pathway Gene Variants WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 in Patients with Dupuytren’s Contracture. Genes. 2021; 12(9):1293. https://doi.org/10.3390/genes12091293
Chicago/Turabian StyleSamulėnas, Gediminas, Alina Smalinskienė, Rytis Rimdeika, Kęstutis Braziulis, Mantas Fomkinas, and Rokas Paškevičius. 2021. "Evaluation of WNT Signaling Pathway Gene Variants WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 in Patients with Dupuytren’s Contracture" Genes 12, no. 9: 1293. https://doi.org/10.3390/genes12091293
APA StyleSamulėnas, G., Smalinskienė, A., Rimdeika, R., Braziulis, K., Fomkinas, M., & Paškevičius, R. (2021). Evaluation of WNT Signaling Pathway Gene Variants WNT7B rs6519955, SFRP4 rs17171229 and RSPO2 rs611744 in Patients with Dupuytren’s Contracture. Genes, 12(9), 1293. https://doi.org/10.3390/genes12091293
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