| Literature DB >> 26336434 |
Przemysław Kulawczuk1, Norbert Czapla1, Agnieszka Bińczak-Kuleta2, Krzysztof Safranow3, Anna Jaworska-Kulawczuk4, Dominika Gajewska5, Karolina Agata5, Miłosz Brykczyński5, Piotr Bargiel5.
Abstract
Keloid disease is the abnormal formation of scar tissue in genetically predisposed people. Among many genes which may be related to the development of keloids, transforming growth factor β1 (TGF-β1) is one of the most mentioned. It encodes cytokinin, which is responsible for the production of extracellular matrix and takes part in healing. Any abnormalities which arise during synthesis of the protein as a result of polymorphism or gene mutation may be the cause of healing disorders (scarring of the body); thus it is responsible for the development of keloids. The objective of this study is to determine the single nucleotide polymorphism of the gene TGF-β1, at the position -509(rs1800469)509, to compare the obtained results in the form of three different genotypes within the analysed group (keloids) and within the control group (healthy scars), and to analyse the correlation between obtained genotypes and the occurrence of keloid disease. Seventy-three patients after cardiac surgery with scars on their sternums were examined (22 women and 51 men) in the age group from 38 to 84 years. Two groups of patients were distinguished: 37 with keloids and 36 with healthy scars. DNA taken from patients was analysed and polymorphism C(-509)T of the gene TGF-β1 was determined. On the basis of the study it was found that the allele T in the position -509 of the gene TGF-β1 is associated with a lower risk of keloid formation regardless of age and gender.Entities:
Keywords: gene mutation; gene polymorphism; keloid disease; keloid scarring
Year: 2014 PMID: 26336434 PMCID: PMC4283882 DOI: 10.5114/kitp.2014.45676
Source DB: PubMed Journal: Kardiochir Torakochirurgia Pol ISSN: 1731-5530
Fig. 1Keloid
Fig. 2Healthy scar
Vancouver Scar Scale
| Characteristic of the scar | Type | Points |
|---|---|---|
| Vascularity | Normal | 0 |
| Pink | 1 | |
| Red | 2 | |
| Purple | 3 | |
| Pliability | Normal | 0 |
| Supple | 1 | |
| Yielding | 2 | |
| Firm | 3 | |
| Ropes | 4 | |
| Contracture | 5 | |
| Pigmentation | Normal | 0 |
| Hypo | 1 | |
| Hyper | 2 | |
| Height | Flat | 0 |
| < 2 mm | 1 | |
| 2-5 mm | 2 | |
| > 5 mm | 3 |
Max. 13 points.
Discomfort related to the scar
| Type of discomfort | Lack of discomfort | Pain | Burning | Itching |
|---|---|---|---|---|
| 0 points | 1 points | 1 points | 1 points |
Max. 3 points
Fig. 3Identification of polymorphism C(-509)T of TGF-β1 gene by PCR-RFLP
Distribution of genders of the analysed groups of patients
| Women | Men | Together | |
|---|---|---|---|
| Keloids | 11 | 26 | 37 |
| Healthy scars | 11 | 25 | 36 |
| Total | 22 | 51 | 73 |
Distribution of frequency of genotypes and alleles of polymorphic TGF-β1 T(-506)C in the analysed groups of patients
| Group | Homozygous CC | Heterozygote CT | Homozygous TT | Allele C | Allele T |
|---|---|---|---|---|---|
| Healthy scars | 9 | 19 | 9 | 37 | 37 |
| Keloids | 18 | 14 | 4 | 50 | 22 |
Fig. 4Distribution of the number of TGF-β1 polymorphisms T(506)C in the analysed groups of patients
The relationship between genotype TGF-β1 T(506)C and the presence of keloid
| Compared genotypes | Odds ratio for presence of keloid OR | Confidence interval OR 95% CI |
|
|---|---|---|---|
| TT + CT vs. CC | 0.3214 | 0.1188-0.8697 | 0.030 |
| TT vs. CT + CC | 0.3889 | 0.1079-1.4020 | 0.22 |
| TT vs. CC | 0.2222 | 0.0535-0.9229 | 0.046 |
| T vs. C | 0.4400 | 0.2235-0.8664 | 0.019 |
| CT vs. CC | 0.3684 | 0.1281-1.0600 | 0.073 |
| TT vs. CT | 0.6032 | 0.1540-2.3623 | 0.52 |
It was found in the multivariate analysis (Table VI) that the presence of the allele T (i.e. CT or TT genotype) was related to a significantly lower risk of keloid formation (OR = 0.32), regardless of age and gender.
Multivariate analysis in the logistic regression model of the relationship between age, gender and carrier of allele TGF-β1 (–509)T (genotypes CT or TT) with the presence of keloid
| Independent variables | OR | 95% CI |
|
|---|---|---|---|
| Age (years) | 0.9773 | 0.9276-1.0296 | 0.38 |
| Gender (male) | 0.9225 | 0.3186-2.6712 | 0.88 |
| Carrier of allele | 0.3153 | 0.1136-0.8746 | 0.024 |