The physiological process of scarring is a common denominator of interest in a plethora of medical specialties. The molecular basis whereby this process results in pathological scarring for some individuals is poorly understood at present, with clues pointing towards individual predisposition for pathological scarring. Vitamin D and its subsequent pathway plays a key role in skin metabolism and homeostasis, with alterations in the level of vitamin D receptor (VDR) seen within pathological scars. The present study investigated the role of the rs2228570 polymorphism of
Scarring is a complex physiological process, whereby minimal deviation from the balance of synthesis and decomposition may lead to a resulting pathological scar. Far from being an esthetic issue, pathological scars are associated with symptoms which affect the patients' quality of life, including pain, loss of sensitivity and movement restriction (
Vitamin D has a plethora of roles within physiological skin function, including cell proliferation, differentiation, inflammation and fibrosis. Emerging research shows that vitamin D receptor (VDR) levels are observed at lower levels within pathological scars (
The rs2228570 polymorphism of the
The present study aimed to investigate the rs2228570
The study group consisted of female patients having undergone Caesarian section at the 1st Gynaecology Clinic in Cluj-Napoca, Romania. A total of 84 patients were recruited for the study and followed up for 6 months, with initial in-person and 3 and 6-month phone check-ups. Among these 84 patients, 71 finished the follow-up and were included in the present study. After the 6-month check-up, the patients were grouped according to scar type as follows: 53 patients with physiological scars, 13 patients with hypertrophic scars and 5 patients with atrophic scars.
The inclusion criteria for the study were: patients over 18 years of age, willing and able to offer informed consent for the procedure and follow-up after undergoing planned Caesarian section with no pre-operative or post-operative complications.
Patients who were unwilling or unable to maintain contact for follow-up were excluded, alongside patients whose incisions overlapped previous surgeries or trauma.
After inclusion, a peripheral venous blood sample was collected in a K3EDTA vacutainer and stored at 4˚C until processing. Genomic DNA was extracted using the Wizard genomic DNA Purification Kit, produced by Promega Corp. After rehydration, the amount of DNA obtained through extraction, as well as purity was evaluated using spectrophotometrical analysis. The DNA samples were stored at -20˚C pending genotyping.
Patient data including demographic data, a full medical and pregnancy history, Fitzpatrick phototype as well as SCAR and Patient Observer Scar Assessment Scale (POSAS) scales (
The genotyping was carried out using an RFLP-PCR protocol. The amplification was carried out using Thermo Scientific™ PCR MasterMix (Thermo Fisher Scientific, Inc.), specific primers and the DNA extracted from peripheral venous blood samples.
The primers used were: 5'-AGCTGGCCCTGGCACTGACTCTGCTCT-3' and 3'-ATGGAAACACCTTGCTTCTTCTCCCTC-5'. The cycling conditions were as follows: initial denaturation for 3 min at 94.5˚C, 35 cycles of 1 min at 94.5˚C, 1 min at 61˚C, 2 min at 72˚C and a final elongation of 10 min at 72˚C. The amplified samples were digested using Thermo Scientific™ FastDigest FokI, (Thermo Fisher Scientific, Inc.) incubated for 15 min at 37˚C. After digestion, the samples were migrated through 2% agarose gel (MetaPhor Agarose) dyed using RedSafe Nucleic Acid Staining Solution (MetaPhor Agarose), leading to the formation of 3 possible bands: a 265-bp band, representing the PCR product of the
The investigation was conducted using SPSS for MacBook software (SPSS, Inc.). The Chi-square test was used to measure the Hardy-Weinberg equilibrium. The categorial variables are presented as percentages whereas the continuous valuables are expressed as mean ± SD. The Chi-square test was used to compare the clinical and demographic data. The dispersion parameters were calculated using the Kolmogorov-Smirnov test. Mann-Whitney-Wilcoxon test and Student's t-test were used to make comparisons between subgroups and to make correlations within continuous variables. The outcome differences appreciated by the SCAR and POSAS were compared using the Student's t-test.
Multinomial regression was considered to predict the possible outcomes and to determine the susceptibility of the
The characteristics of the study group (n=71) regarding the clinical and demographic data are illustrated in
The Hardy-Weinberg equilibrium was respected for the investigated gene variant. The allele frequency and genotype distribution are illustrated in
The Student's t-test was used to assess the clinical outcome indicated by the SCAR and POSAS in association with the variant gene of
The multivariate regression conducted to appreciate the association between the POSAS, SCAR, scarring type and genotype did not reveal a significant association (R2=0.523, beta: 0.81; 95% CI: 0.534-0.966). Furthermore, a high score for both SCAR and POSAS did not illustrate a significant association with the CT heterozygous genotype for developing hypertrophic scars.
The results obtained in the present study do not support a strong association between the specific SNP investigated and the process of scarring, however the results may prompt further investigation.
As a secondary finding, the present study supports the use of complementary scales such as SCAR and POSAS, in order to screen for potential pathological scarring. This accomplishes a similar goal to genotyping for risk markers: early detection and therapeutic intervention, bypassing the traditional treatment algorithm, which involves waiting for the scar to heal entirely, and then intervening where needed with invasive or non-invasive strategies.
As the outcome of scarring is heavily influenced by the mechanism of the lesion itself, postoperative care and populational factors, no comparison can be made regarding the frequency of the pathological scars revealed in the present study and other studies investigating scarring currently available in literature.
The strong point of the study lies in the selection of the study group: with patients in identical conditions, operated according to the internal protocol of the clinic. This selection excludes a series of intraoperative and postoperative factors which influence scarring, including incision and suture technique and materials, as well as postoperative care.
Given the weak correlations obtained in our study, a larger study group might have offered a more realistic image on the influence of rs2228570 on the process and outcome of scarring. Another issue that presented itself was that out of the initial 84 patients recruited, 13 were excluded before the finalization of the study. One patient retracted herself from the study, however another 12 patients could not be contacted. Synchronizing the study check-ups with the required post-pregnancy check-ups could be a solution to ensure a lower rate of drop-out.
A longer follow-up time would be a valid way to expand the results of this particular study, as scars may evolve past the 6-month marker used within the present methodology. However, this would require a much larger sample size, due to a predictably higher drop-out rate.
To the best of our knowledge, this is the first study investigating this particular polymorphism of
It seems to be the case that vitamin D, alongside a plethora of other factors and genes, are responsible for the individual predisposition to develop pathological scars. The research and clinical applications of genetic markers which predict the tendency towards pathological scarring would prove invaluable, allowing for a predictive, pro-active and personalized therapeutical approach for scarring.
In conclusion, no association was found between rs2226570
Not applicable.
The individual genotyping results, as well as any other information pertaining to the study are available by reasonable request to the corresponding author.
RFI, AC, and IVP contributed substantially to the design of the study. CSA performed the analysis of the resulting data. SRH, IL, RET, and ICR were involved in the acquisition of data. All authors critically revised the manuscript, approved the final version and agree to be accountable for all aspects of the work.
The present study was approved by the Ethics Committee of the ‘Iuliu Hațieganu’ University of Medicine and Pharmacy, Cluj-Napoca, Romania. All patients included were of legal age and capable of understanding the purpose and potential risks involved. Consent was granted freely and without coercion. The consent form for this study elaborated on the use of the data for publication for scientific purposes of the values recorded. The present study does not include any identifiable patient data.
Not applicable.
The authors declare no competing interests.
Characteristics of the study group (n=71) regarding the clinical and demographic data.
Parameters | Normal scarring (n=53) | Hypertrophic scarring (n=13) | Atrophic scarring (n=5) |
---|---|---|---|
Age mean | 31.03±5.31 | 30.76±4.47 | 30.66±4.5 |
Weight (kg) | 80.33±14.55 | 73.15±14.5 | 84.5±21.77 |
Height (m) | 1.63±0.06 | 1.63±0.08 | 1.60±0.03 |
Preconceptional weight (kg) | 65.07±14.69 | 59±12.28 | 72.2±24.83 |
Weight gain (kg) | 14.26±5.37 | 14.15±5.77 | 13.2±4.43 |
Smoking | |||
Yes | 10 (14.08) | 1 (1.4) | 1 (1.4) |
No | 43 (60.56) | 12 (16.9) | 4 (5.63) |
P-value | 0.002 | >0.005 | >0.005 |
Personal history | |||
Yes | 10 (14.08) | 4 (5.63) | 1 (1.4) |
No | 43 (60.56) | 9 (12.67) | 4 (5.63) |
P-value | 0.002 | 0.004 | >0.005 |
Family history | |||
Yes | 3 (4.22) | 1 (1.4) | 0 |
No | 50 (70.42) | 12 (16.9) | 5 (12.19) |
P-value | 0.002 | >0.005 | N/A |
Fitzpatrick phototype | |||
1 | 6 (8.45) | 0 | 1 (1.4) |
2 | 14 (19.71) | 2 (2.81) | 1 (1.4) |
3 | 19 (26.76) | 10 (14.08) | 0 |
4 | 11 (15.49) | 1 (1.4) | 2 (2.81) |
5 | 3 (4.22) | 0 | 1 (1.4) |
POSAS | |||
3 months | 18.88±7.16 | 21.61±4.87 | 12.2±5.4 |
6 months | 16.74±6.67 | 7.53±2.25 | 7.4 ± 2.7 |
P-value | >0.005 | 0.001 | 0.004 |
SCAR | |||
3 months | 5.71±2.43 | 7.53±2.25 | 7.4±2.7 |
6 months | 4.45±2.7 | 8.69±1.1 | 8.2±1.93 |
P-value | >0.005 | >0.005 | >0.005 |
Treatment | |||
Yes | 8 (11.26) | 4 (5.63) | 0 |
No | 45 (63.38) | 9 (12.67) | 5 (12.19) |
Lactation (months) | 4.05±2.48 | 5.19±1.46 | 3.3±3.07 |
Data are presented as mean ± SD for continuous variables and as percentages for categorical variables. POSAS, Patient Observer Scar Assessment Scale; N/A, not applicable (due to sample size, the value cannot be computed).
Allele frequency and genotype distribution of the
Allele frequency and genotype distribution of the |
Normal scarring n (%) | Hypertrophic scarring n (%) | Atrophic scarring n (%) | OR | P-value |
---|---|---|---|---|---|
T allele | 33 | 9 | 0 | N/A | N/A |
C allele | 73 | 17 | 5 | 2.43 | 0.064 |
TT | 5 | 0 | 0 | N/A | N/A |
CT | 23 | 9 | 0 | N/A | N/A |
CC | 25 | 4 | 5 | 2.37 | 0.088 |
CC + CT | 48 | 13 | 5 | 2.41 | 0.077 |
OR, odds ratio; N/A, not applicable (due to sample size, the value cannot be computed); VDR, vitamin D receptor.