Literature DB >> 31118729

Role of insulin-like growth factor-1 in skin tags: a clinical, genetic and immunohistochemical study in a sample of Egyptian patients.

Azza Gaber Antar Farag1, Azza Mohamed Kamel Abdu Allah2, Hala Said El-Rebey3, Kawthar Ibraheem Mohamed Ibraheem4,5, Asmaa Shams El Dein Mohamed3, Azza Zaghlol Labeeb6, Ayman Elhussien Elgazzar1, Magda Mostafa Haggag1.   

Abstract

Background: Skin tags (STs) are benign connective tissue neoplasms, in which insulin-like growth factor -1 (IGF-1) has a mitogenic and antiapoptotic activity. Purpose: We aimed to study for the first time, the possible role of IGF-1 (CA) 19 and rs6214 gene polymorphisms, and its tissue immunoreactivity in the pathogenesis of STs. Patients and methods: This case-control study included 40 ST patients and 20 controls. We searched for (CA) 19 single-nucleotide polymorphism (SNP) using conversional PCR and for rs6214 gene polymorphism using real-time PCR. IGF-1 tissue immunoreactivity was investigated using polyclonal IGF-1 antibody.
Results: IGF-1 immunoreactivity showed significantly strong upregulation in epidermis (p=0.002) and dermal components (endothelial cells [p=0.038] and fibroblasts [p=0.004]) of excised STs than control skin. TT and CT rs6214 genotypes and its T allele were significantly associated with STs (p=0.006 and P=0.002, respectively). Also (<192 bp) and 192-194 bp (CA) 19 genotypes were significantly predominant in ST patients than controls (p=0.013). These 4 genotypes were significantly associated with development of multiple STs and epidermal IGF-1 tissue immunoreactivity in studied patients. Conclusions: IGF-1 (CA) 19 and rs6214 gene polymorphisms may contribute to a predisposition of STs in Egyptian patients, the role of which could be mediated through local upregulation of IGF-1 in cutaneous tissues.

Entities:  

Keywords:  gene polymorphism; immunohistochemistry; insulin growth factor-1; skin tags

Year:  2019        PMID: 31118729      PMCID: PMC6503204          DOI: 10.2147/CCID.S192964

Source DB:  PubMed          Journal:  Clin Cosmet Investig Dermatol        ISSN: 1178-7015


Introduction

Skin tags (STs) or acrochordons are common benign connective tissue neoplasms of the dermis that are mainly composed of loose fibrous tissue.1 They occur mainly on the neck and major flexures as a small, soft, pedunculated protrusions.2 STs are associated with several conditions, including type 2 diabetes mellitus,3 obesity and acromegaly.4 Disturbance in insulin action presents with many conditions including STs.5 Insulin-like growth factor –I (IGF-1) is a hormone with a structure like insulin. It has a significant role in childhood growth and anabolic effects in adults.6 It is one of the most important activators of serine/threonine-specific protein kinase (AKT) signaling pathway that promotes cell growth and proliferation and inhibits programmed cell death.7 The gene encoding for IGF-1 is located in the long arm of chromosome 12 (12q22-24.1).8 IGF-1 (CA) 19 and rs6214 gene polymorphisms were investigated in some dermatological9,10 and nondermatological disorders.11,12 In the skin, IGF-1 is produced by dermal fibroblasts, where it stimulates these fibroblasts to proliferate and provide loose connective tissue. Also, it acts on epidermal keratinocytes stimulating their proliferation resulting in acanthosis, hyperkeratosis and sometimes papillomatosis, hence forming ST lesions.13 The relationship between STs and IGF-1 was previously investigated through assessment of IGF-1 serum levels14 and its tissue expression,13 and till now no one analyzed IGF-1 gene polymorphism in ST patients. The aim of this study was to shed light on the possible role of IGF-1 in the pathogenesis of skin tags through investigating its (CA) 19 and rs6214 gene polymorphisms as well as its immunohistochemical tissue expression in patients having skin tags. Also, our aim was extended to correlate the analyzed IGF-1genotypes with the clinico-pathologic parameters of STs in those patients.

Material and methods

This retrospective case–control study was carried out on 40 patients having STs in addition to 20 age- and sex-matched apparently healthy volunteers as a control group. They were selected during the period from March to June 2017. The study protocol was approved by the ethical committee of Faculty of Medicine, Menoufia University, that was in accordance with Helsinki Declaration in 1975 (revised in 2000). Written informed consent forms were obtained from all participants prior to study initiation. ST patients from both sexes were included in this study. Subjects having diabetes mellitus, thyroid disorders, polycystic ovarian syndrome, and those who are either on treatment or had history of treatment with drugs that can influence IGF-1 level (glucocorticoids, insulin, oral hypoglycemic agents, oral contraceptive pills and isotretinoin) within the last month were excluded. Also, we excluded pregnant and lactating women.

Methods

Every participant was subjected to full history, clinical examinations, weight and height measuring to calculate body mass index (BMI)15 and dermatological examination including assessment of site, size and the total number of STs. Additionally, analysis of IGF-I (CA) 19 gene polymorphism using conventional PCR and IGF-I rs6214 gene polymorphism using real-time PCR were performed. Moreover, immunohistochemical tissue reactivity of IGF-1 in excised ST lesions and control skin was done.

IGF-1 genotyping

Three milliliters of venous blood was taken under complete aseptic conditions in sterile EDTA vacutainer tubes. Samples were collected during daytime from 9 am to 12 am and stored at −20°C for DNA extraction. DNA extraction was done using Zymo Research Quick-g DNA mini prepGenomic DNA purification kit (Tustin, CA, USA). DNA was eluted and stored at −20°C for further PCR procedure.

REFLP analysis of IGF-1 CA19 gene polymorphism

Restriction fragment length polymorphism (PCR-RFLP) analysis was performed in the genomic DNAs isolated by using proper primers for the IGF-I (CA19) polymorphic area. Forward primer 5ʹ-GCTAGCCAGCTGGTGTTATT-3ʹ, reverse primer 5ʹ-ACCACTCTGGGAGAAG GGTA-3ʹ.16 A total volume of 0.5 ng⁄L of genomic DNA sample was added into the reaction mixture. The mixture also included 0.5 nmol⁄L forward primer, 0.5 nmol⁄L reverse primer, 0.2 mmol⁄L dNTP, 1.5 mmol⁄L MgCl2, 10 PCR buffer and 0.025 units⁄lL taq DNA polymerase. Totally, 50 lL of PCR volume was used in the study. The procedure was denaturation at 95°C for 3 mins and 94°C for 45 s, annealing at 57°C for 45 s, extension at 72°C for 1 min in a total of 30 cycles with a waiting period for 10 mins at 72°C in stepwise manner. Samples were kept at 4°C until the analysis time. Visualization of the amplified products by 2% agarose gel electrophoresis was done. The resulting bands were evaluated with UV gel documentation system. The IGF-1 polymorphism represents CA repeats. Three genotypes were categorized: <192 bp (<19 CA repeat), 192–194 bp (=19 repeat) and >194 bp (>20 CA repeat).

Real-time PCR analysis of IGF-1 rs6214 gene polymorphism

For genotyping, we used the universal taqMan Master Mix from Thermo Scientific (Waltham, MA, USA), while the primers and Taqman probes were designed by Applied Biosystems (Foster City, CA, USA) Life Technologies. Forward primer: 5´-AAT TAT TCC CTC TCA ACA AAA CTT TAT AGG-3ʹ and reverse primer: 5´-TGA AGG AAA TAA GTC ATA GAC ACT CTT AGA A-3ʹ was used for rs6214. Probes VIC: CTG CAG ACT TAA CGT GT, FAM: CTG CAG ACT TAA CAT GT were used. Primers and probes were purchased from Bioneer (Bioneer, Inc., Oakland, CA, USA). The reaction mixture was prepared by mixing 10 μL of the master mix, 1.25 μL of a 20x single-nucleotide polymorphism (SNP) assay kit containing primers and probes and 3.75 μL of DNAse-free water. For each unknown reaction, 5 μL of genomic DNA template was added and for the negative control reaction, 5 μL of DNAse-free water was added. The cycling conditions were set as follows: initial denaturation at 95°C for 5 mins followed by 35 cycles of; 95°C for 45 s, for 45 s, and 72°C for 30 s, with final extension for 7 mins at 72°C. This was done using the 7500 real-time PCR system (Applied Biosystems). Figure 2 shows the allelic discrimination plot.
Figure 2

Allelic discrimination plot of (rs6214) gene polymorphism in both cases and controls, TT genotype (red dots),TC genotype (green dots) and CC genotype (blue dots) (A) and amplification plot (B).

IGF-1 immunohistochemistry

Under local anesthesia (xylocaine 2%), one ST from each patient was held gently with a nontoothed forceps and cut with a scalpel from its base, then the base was shortly cauterized with diathermy. The control skin biopsies were obtained from matched sites of the healthy volunteers. Biopsies were fixed in 10% neutral buffered formalin, dehydrated in ascending grades of ethanol followed by immersion in xylene and then impregnation in paraffin. Two 5 μm-thick sections from each block were prepared. One was to be stained with H&E for routine histopathological examination, the other was mounted on super frost plus slide for immunohistochemistry. Streptavidin-biotin amplified system was used. The primary antibody for IGF-1 was rabbit polyclonal antibody raised against IGF-1 provided from Chongqing Biops Co., Ltd, Chongqing, China (Cat No. YPA1106). It was received as 100 mcg concentrated with dilution of 1:200, sections of prostatic carcinoma were used as positive control. The detection Kit was the ultravision detection system anti-polyvalent horseradish peroxidase/diaminobenzidine (HRP/DAB) (Ready to use; Cat. No.TP-015-HD; Lab Vision, CA). Positive IGF-1 expression was assigned when ≥10% of cells showed brown cytoplasmic staining. The staining intensity of IGF-1 was assessed subjectively as mild, moderate and strong. The expression of IGF-1was examined in epidermis and dermis (inflammatory cells [lymphocytes], endothelial cells and fibroblasts).

Statistical analysis

Results were collected, tabulated and statistically analyzed by IBM personal computer and statistical package SPSS version 20 (SPSS Inc., Chicago, IL, US). Hardy–Weinberg, equilibrium was computed to exclude any bias of results. Qualitative data were described using number and percent, while quantitative data were expressed in mean ± SD. Student t-test was used for comparison between two groups having quantitative variables. Mann–Whitney and Kruskal–Wallis tests were used for comparison of two and three groups of nonparametric variables, respectively. P-value <0.05 was considered statistically significant.

Results

Demographic and clinical data of studied subjects

Personal data as well as clinical characteristics of investigated subjects are demonstrated in Table 1. Patient and control groups were matched as regards demographic characteristics except that BMI that was significantly higher in ST patients (p=0.001) (Table 1).
Table 1

Demographic and clinical characteristics of patients with skin tags and controls

Demographic characteristicsPatients(n=40)Controls(n=20)Test of significanceP-value
Age (years) Mean ± SD Range34.25±7.9420–4933.65±6.5924–49t=0.290.772
Sex: n (%) Males Females31 (77.5)9 (22.5)18 (90.0)2 (10.0)χ2=1.390.238
BMI: Mean ± SD Range33.13±5.7922–46.728.19±4.2622–35.2t=3.380.001*
Site of lesion: n (%) Head and neck Others25 (62.5)15 (37.5)
Number of lesions: Mean ± SD Range8.73±4.782–20
Duration of disease (years): Mean ± SD Range3.61±2.750.5–10
Acanthosis nigricans: n (%) Present Absent30 (30.0)28 (70.0)

Note: *significant; χ2, Chi-square test.

Abbreviations: BMI, Body mass index; t, Students t-test; U, Mann-Whitney test.

Demographic and clinical characteristics of patients with skin tags and controls Note: *significant; χ2, Chi-square test. Abbreviations: BMI, Body mass index; t, Students t-test; U, Mann-Whitney test.

IGF-1 immunohistochemical expression

IGF-1 immunoreactivity (Figure 1) in ST lesions was significantly higher and strongly expressed than in control skin sections in both epidermis (p=0.012; p=0.002) and dermal components (endothelial cells [p=0.0380] and fibroblasts [p=0.004]) (Table 2).
Figure 1

(A) A skin tag section showing strong IGF-1 expression in epidermis (immunoperoxidase ⨰400). (B) A skin tag section showing moderate expression of IGF-1 in epidermis and dermal endothelial cells (arrows) with its strong expression in dermal inflammatory cells (immunoperoxidase ⨰200). (C) A skin tag section showing moderate expression of IGF-1 in epidermis with its strong expression in dermal fibroblasts (arrows) and inflammatory cells (immunoperoxidase ⨰200). (D) Normal skin section showing mild expression of IGF1 in epidermis and negative expression in dermis(endothelial cells, fibroblasts and inflammatory cells) (immunoperoxidase ⨰200).

Abbreviation: IGF-1, insulin like growth factor-1.

Table 2

Tissue expression of IGF‐1 in excised ST lesions of patients and controls

ItemsPatients(n=40)n (%)Controls(n=20)n (%)χ2p-value
Epidermis:
 Negative03 (15.0)6.320.012*
 Positive40 (100.0)17 (85.0)
Intensity:
 Mild12 (30.0)14 (70.0)13.660.001*
 Moderate20 (50.0)3 (15.0)
 Strong8 (20.0)0
Dermal components
Endothelial cells:

Mild

Moderate

strong

12 (30.0)7 (17.5)12 (30.0)8 (40.0)2 (10.0)0 (0.0)6.510.038*
Fibroblasts:

Mild

Moderate

Strong

(2.5)3 (7.5)11 (27.5)4 (20.0)2 (10.0)0 (0.0)11.180.004*
Inflammatory cells:

Mild

Moderate

Strong

0 (0.0)0 (0.0)9 (22.5)0 (0.0)0 (0.0)0 (0.0)--

Note: *Statistical significant.  χ2, Chi-square test.

Tissue expression of IGF‐1 in excised ST lesions of patients and controls Mild Moderate strong Mild Moderate Strong Mild Moderate Strong Note: *Statistical significant.  χ2, Chi-square test. (A) A skin tag section showing strong IGF-1 expression in epidermis (immunoperoxidase ⨰400). (B) A skin tag section showing moderate expression of IGF-1 in epidermis and dermal endothelial cells (arrows) with its strong expression in dermal inflammatory cells (immunoperoxidase ⨰200). (C) A skin tag section showing moderate expression of IGF-1 in epidermis with its strong expression in dermal fibroblasts (arrows) and inflammatory cells (immunoperoxidase ⨰200). (D) Normal skin section showing mild expression of IGF1 in epidermis and negative expression in dermis(endothelial cells, fibroblasts and inflammatory cells) (immunoperoxidase ⨰200). Abbreviation: IGF-1, insulin like growth factor-1.

IGF-1 rs6214 and (CA) 19 gene polymorphisms

Analyzing rs6214 SNP (Figure 2) revealed that TT and CT rs6214 genotypes and T allele were significantly predominant in patients than controls (p=0.006; p=0.002, respectively) (Table 3).
Table 3

Distribution of IGF-1 rs6214 and (CA) 19 gene polymorphisms in studied groups

Gene polymorphismPatients(n=40)n (%)Controls(n=20)n (%)χ2p-value
IGF-1 (rs6214) gene polymorphism
TTCTCC18 (45.0)18 (45.0)4 (10.0)4 (20.0)7 (35.0)9 (45.0)10.130.006*
AllelesTC(n=80)54 (67.5)26 (32.5)(n=40)15 (37.5)25 (62.5)9.820.002*
IGF-1 (CA) 19 gene polymorphism
<192192/194>19422 (55.0)10 (25.0)8 (20.0)8 (40.0)1 (5.0)11 (55.0)8.670.013*
Alleles192194(n=80)(n=40)6.900.009*
54 (67.5)26 (32.5)17 (42.5)23 (57.5

Note: *Statistically significant; χ2, Chi-square test.

Distribution of IGF-1 rs6214 and (CA) 19 gene polymorphisms in studied groups Note: *Statistically significant; χ2, Chi-square test. Allelic discrimination plot of (rs6214) gene polymorphism in both cases and controls, TT genotype (red dots),TC genotype (green dots) and CC genotype (blue dots) (A) and amplification plot (B). Regarding IGF-1 (CA) 19 gene polymorphism (Figure 3), we categorized the IGF-1 (CA) 19 SNP area into three groups: lower than 192 bp (<192 bp), from 192 to 194 bp (192–194 bp) and higher than 194 bp (>194 bp). We observed that (<192 bp) and 192–194 bp genotypes as well as its (<192 bp) allele were significantly recorded in individuals having STs compared to controls (P=0.013; P=0.009, respectively) (Table 3).
Figure 3

Conventional PCR results of IGF-1 (CA19) gene polymorphism from case No. 1 to case No. 7 and from No. 1 to No. 3 control (A), from case No. 8 to case No. 19 and from No. 4 to No. 8 control (B), from case No. 20 to case No. 29 and from No. 9 to No. 15 control (C) and from case No. 30 to case No. 40 and from No. 16 to No. 20 control (D).

Conventional PCR results of IGF-1 (CA19) gene polymorphism from case No. 1 to case No. 7 and from No. 1 to No. 3 control (A), from case No. 8 to case No. 19 and from No. 4 to No. 8 control (B), from case No. 20 to case No. 29 and from No. 9 to No. 15 control (C) and from case No. 30 to case No. 40 and from No. 16 to No. 20 control (D).

Relationship between IGF-1 rs6214 and (CA) 19 genotypes and assessed parameters in ST patients

TT and CT genotypes were significantly demonstrated in male patients (P=0.022) and were significantly associated with multiple (high number) STs (P=0.005) and strong epidermal IGF-1 tissue expression (p=0.001), but nearly significant association was noticed regarding increased BMI (p=0.059) (Table 4).
Table 4

Relation between IGF-1 rs6214 gene polymorphism and studied data in ST patients

IGF-1 (rs6214) gene polymorphism in patientsTest of significancep-value
TT (n=18)CT (n=18)CC(n=4)
Demographic data
Age (years): mean ± SD31.91±7.2334.28±7.3637.23±7.42F=2.180.123
Sex: n (%)
Males14 (77.8)16 (88.9)1 (25.0)χ2=7.660.022*
Females4 (22.2)2 (11.1)3 (75.0)
BMI: mean ± SD31.33±6.2733.18±5.5628.51±4.32F=2.980.059
CT vs CC=0.054
Clinical data
Site of lesion: n (%)Head and neck11 (61.1)10 (55.6)4 (100.0)χ2=2.790.248
Others7 (38.9)8 (44.4)0
Number of lesions:Mean ± SD9.17±3.949.56±5.313.00±0.82K=10.680.005*
CT vs CC=0.053
CC vs TT=0.036
Duration of disease (years):mean ± SD3.69±3.013.78±2.782.50±1.29K=0.550.761
Acanthosis: n (%)Present5 (27.8)6 (33.3)1 (25.0)χ2=0.190.912
Absent13 (72.2)12 (66.7)3 (75.0)
Immunohistochemical results
Epidermis:
Intensity: n (%)

Mild

3 (16.7)5 (27.8)4 (100.0)12.190.016*

Moderate

12 (66.7)8 (44.4)0

Strong

3 (16.7)5 (27.8)0
Dermal cells:
Endothelial cells: n (%)

Mild

Moderate

Strong

4 (22.2)5 (27.8)4 (22.2)5 (27.8)2 (11.1)7 (38.9)3 (75.0)0 (0.0)1 (25.0)5.248.07-0.070.09
Stromal cells: n (%)

Mild

Moderate

Strong

Inflammatory cells: n (%)

Mild

Moderate

strong

0 (0.0)2 (11.1)4 (22.2)0 (0.0)0 (0.0)3(16.7)0 (0.0)1 (5.6)6 (33.3)0 (0.0)0(0.0)6(33.3)1 (25.0)0 (0.0)1 (25.0)--

Note: χ2, Chi-square test; *statistically significant.

Abbreviations: K, Kruskal–Wallis test; BMI, Body mass index; F, ANOVA test.

Relation between IGF-1 rs6214 gene polymorphism and studied data in ST patients Mild Moderate Strong Mild Moderate Strong Mild Moderate Strong Mild Moderate strong Note: χ2, Chi-square test; *statistically significant. Abbreviations: K, Kruskal–Wallis test; BMI, Body mass index; F, ANOVA test. Additionally, there was a significant difference between obese patients and obese controls as regards IGF-1 gene polymorphism where CC and CT genotypes were predominated in patients than controls while TT was the predominant genotype in controls, indicating that the predominance of CT and TT in patients is not attributed to obesity. On the other hand, there was no significant difference between both groups as regards C or T alleles (Table 5).
Table 5

IGF-1 gene polymorphism in obese skin tag patients and obese control group

VariableObeseχ2p-value
Obese patients(n=27); n (%)Controls(n=6); n (%)
CCCTTT9 (33.3)16 (59.3)2 (7.4)1 (16.7)2 (33.3)3 (50.0)6.930.031*
AllelesCT(No=54)(No=20)3.530.060
34 (63.0)20 (37.0)4 (33.3)8 (66.7)

Note: *Statistically significant; χ2, Chi-square test.

IGF-1 gene polymorphism in obese skin tag patients and obese control group Note: *Statistically significant; χ2, Chi-square test. Regarding IGF-1 (CA) 19 genotypes, (<192 bp) genotype was significantly associated with increased BMI (p=0.031), multiple ST lesions (p=0.004) and strong epidermal tissue expression of IGF-1 (P<0.001) (Table 6).
Table 6

Relation between IGF-1 (CA) 19 gene polymorphism and studied data in ST patients

IGF-1 (CA) 19 gene polymorphism in patientsTest of significancep-value
<192 (No=22)192–194(No=10)>194(No=8)
demographic data
Age (years)mean ± SD36.05±8.2729.30±6.6835.50±6.48F=2.850.071
Sex: n (%)Males18 (81.8)8 (80.0)5 (62.5)χ2=1.300.521
Females4 (18.2)2 (20.0)3 (37.5)
BMI:mean ± SD34.44±5.7434.04±5.5528.40±4.05F=3.840.031*
192 vs 194=0.031
clinical data
Site of lesion: n (%)Head and neck13 (59.1)5 (50.0)7(87.5)χ2=2.910.234
Others: n (%)9 (40.9)5 (50.0)1 (12.5)
Number of lesions:mean ± SD10.59±5.527.80±2.784.75±2.38K=11.190.004*
192 vs 194=0.006
Duration of disease (years):Mean ± SD4.36±3.172.58±1.972.84±1.77K=3.150.207
Acanthosis: n (%)Present7 (31.8)3 (30.0)2 (25.0)χ2=0.130.937
Absent15 (68.2)7 (70.0)6 (75.0)
Immunohistochemical results
Epidermis:
Intensity: n (%)

Mild

2 (9.0)2 (20.0)8 (100.0)24.24<0.001*

Moderate

15 (68.2)5 (50.0)0

Strong

5 (22.7)3 (30.0)0
Dermal components: n (%)
Endothelial cells:

Mild

Moderate

Strong

8(36.36)4(18.18)7(31.82)1(10.00)3(30.00)4(40.00)3(37.50)0(0.00)1(12.50)5.020.28
Stromal cells: n (%)

Mild

Moderate

Strong

Inflammatory cells: n (%)

Mild

Moderate

Strong

0(0.00)2(9.09)6(27.27)0(0.00)0(0.00)5(22.73)0(0.00)1(10.00)4(40.00)0(0.00)0(0.00)4(40.00)1(12.50)0(0.00)1(12.50)0(0.00)0(0.00)0(0.00)7.36-0.126-

Note: Statistically significant; χ2, Chi-square test.

Abbreviations: K, Kruskall–Wallis test BMI, body mass index; F, ANOVA test.

Relation between IGF-1 (CA) 19 gene polymorphism and studied data in ST patients Mild Moderate Strong Mild Moderate Strong Mild Moderate Strong Mild Moderate Strong Note: Statistically significant; χ2, Chi-square test. Abbreviations: K, Kruskall–Wallis test BMI, body mass index; F, ANOVA test.

Discussion

The present study was designed to shed light on the possible role of IGF-1 tissue expression and two different IGF-1 gene polymorphisms (rs6214 and CA 19) in the pathogenesis of STs. Our patients had a significantly higher BMI than that of controls. These results were in accordance with that of many investigators.17–19 Jusuf et al17 found that there is a significant correlation between increased BMI and the occurrence of STs. Plausible mechanisms that explain the pathogenesis of STs in obesity are hyperinsulinemia and increased leptin levels. In obese individuals, the increased body fat can affect the sensitivity of insulin by decreasing the expression of insulin receptor substrate-1.20 Consequently, the pancreas will compensate by producing greater quantities of insulin.21 This hyperinsulinemia promotes an increase in IGF-1 that can stimulate the proliferation of keratinocytes and produce epidermal hyperplasia.20 Additionally, IGF-1 stimulates dermal fibroblasts to proliferate and form connective tissue.13 Moreover, the elevated level of IGF-1 reduces insulin-like growth factor-binding protein-3 (IGFBP-3) concentration. IGFBP-3 is the hormone responsible for regulating antiproliferation gene transcription in the epidermis through inhibition of the binding of IGF-1 to its receptor. A decreased level of IGFBP-3 would lead to increased proliferation and excessive cell growth, which can manifest as ST lesions.14,22 Leptin is a growth hormone that has a role in the process of proliferation, differentiation and apoptosis. It has an ability to induce proliferation of various cell types including human keratinocyte.20,23 In obese subjects, leptin can affect insulin resistance process by inhibition of receptor kinase activity and phosphorylation of insulin receptor substrate-1, resulting in impairment of metabolic action of insulin in the adipocytes,20 leading to insulin resistance and hyperinsulinemia.This hyperinsulinemia stimulates an increase in IGF-1 circulatory levels that can promote proliferation of both keratinocytes20 and fibroblasts13 which manifest as acrochordons.17 In the current study, there was a significant higher and strong expression of IGF-1 in both epidermis and dermal elements especially the endothelium of excised ST lesions than in control skin specimens. Confirming this result, Bosseila and Shaker13 using two-step sandwich type immunoassay (ELISA) demonstrated a significant tissue expression of IGF-1 in STs which was almost sevenfolds that of normal skin, denoting the active role of local IGF-1 in promoting the proliferative process seen in epidermis as well as dermis of acrochordons. IGF-1 and IGF-2 through activation of the insulin-like growth factor-1 receptor (IGF1R) are potent mitogens and inhibitors of apoptosis.11 The IGF-1/IGF1R pathway has been implicated in a number of hyperplastic epidermal disorders such as psoriasis,24 wound healing and plaques of mycosis fungoides,25 and in hyperplastic dermal conditions including keloid and hypertrophic scar.26 Although all these disorders are histologically distinctive from STs, all share local cellular proliferation. Thus, IGF-1 is secreted by dermal fibroblasts and acts in an autocrine fashion motivating them to proliferate and produce extra loose connective tissue. Also, it stimulates in a paracrine fashion epidermal keratinocytes, yielding acanthosis and hyperkeratosis with or without papillomatosis, which leads to the formation of acrochordon.27 Herein, we analyzed for the presence of two different polymorphisms of IGF-1 gene in patients having STs: rs6214 and (CA) 19 gene polymorphisms. To our knowledge, this work may be the first to study rs6214 and (CA) 19 SNP in patients having STs, in which we found a significant difference between STs patients and their matched peers. TT and CT genotypes were predominant in patients than controls. Also, T allele was the main allele in the patient group. Parallel to our result, Yosry et al12 studied the same polymorphism in colorectal cancer, a locally cellular proliferative disease. They found that rs6214 CT and TT genotypes were significantly associated with colorectal cancer. Also, Feik et al27 stated that carriers of polymorphic genotype of the SNP rs6214CT and TT were associated with an increased risk for colorectal cancer compared to the colonoscopy-negative controls with an odds ratio of 1.79 (95% CI 1.04–3.08). In the current study, we observed that TT and CT IGF-1 rs6214 genotypes carriers had a higher number of STs lesions. Moreover, these two genotypes (TT and CT) were significantly associated with epidermal IGF-1 tissue expressions. Therefore, we may suggest that the mitogenic effect of increased tissue IGF-1 in rs6214 TT and CT genotypes was involved in enhancement of cell proliferation and differentiation, and decreased apoptosis resulting in multiple STs development. Based on this result, we can conclude the direct relation between TT and CT genotypes of rs6214 IGF-1 SNP and occurrence of STs. However, due to the novelty of our study on this specific polymorphism, more studies on large number of patients are required to clarify this issue. In the same context, we observed a significant difference between patients and controls regarding IGF-1 (CA) 19 gene polymorphism. (<192 bp) and 192–194 bp genotypes were significantly predominant in patients than controls. Additionally, IGF-1 (CA 19) 192–194 bp and (<192 bp) genotypes were significantly associated with high BMI, higher number of STs lesions and strong epidermal IGF-1 tissue expression. Likewise, in acne vulgaris that shares ST pathogenicity regarding insulin resistance28 and hyperandrogenic state,29 Tasli et al9 reported that (<192 bp) and 192–194 bp carriers were significantly higher in acne vulgaris patients than controls. Also, they found a high frequency of 192–194 bp genotype in patients with severe acne compared to those having mild-to-moderate forms. There is a functional relationship between IGF-I (CA) 19 polymorphism and circulating IGF-1 levels. Carriers of the (<192 bp) and ⁄ or (>194 bp) alleles of the IGF-1 promoter have higher circulating IGF-1 levels than noncarriers.16 Moreover, Yaylali et al11 reported that these polymorphisms may directly influence tissue expression of IGF-I. Accordingly, the presence of multiple STs in IGF-1 (CA 19) 192–194 bp and (<192 bp) genotype carriers can be explained by the demonstrated high tissue levels of IGF-1. This IGF-1, in addition to its direct effect on fibroblasts and keratinocyte,13 may reduce the levels of IGFBP-3, which regulate antiproliferation gene transcription in the epidermis. Consequently, this causes an increase in proliferation and excessive cell growth, which can manifest as ST lesions.22 Moreover, the significant high BMI in those genotypes (192-194 bp and [<192 bp]) can explain development of STs as a result of insulin resistance and/or high leptin levels in obese subjects. Patients with STs have a higher risk of impaired carbohydrate metabolism or diabetes. This finding has important clinical implications, as many cases of type 2 diabetes mellitus remain undiagnosed until the patients develop end-organ damage such as cardiovascular diseases, impairment of renal function or loss of visual acuity. Recognition of possible risk factors of impaired carbohydrate metabolism such as STs helps in earlier diagnosis of at-risk patients and prevention of the above-mentioned complications .30 The main limitation of the current work was the small sample size. Therefore, we recommended further large-scale studies to validate our results.

Conclusion

From the result of the current study, we may suggest that IGF-1 gene polymorphisms in (CA) 19 and rs6214 may contribute to a predisposition to STs in Egyptian patients. Also, we may conclude and confirm that IGF-1, expressed by epidermal and dermal elements, has an active role in STs development that may be mediated through its action in dermal fibroblasts stimulating their growth and excess loose connective tissue production and epidermal keratinocytes forming hyperkeratosis.
  28 in total

1.  Activation of various downstream signaling molecules by IGFBP-3.

Authors:  Hanief Mohammad Shahjee; Nisan Bhattacharyya
Journal:  J Cancer Ther       Date:  2014-08-01

2.  Reproductive performance of bulls divergently selected on the basis of blood serum insulin-like growth factor I concentration.

Authors:  A Yilmaz; M E Davis; R C Simmen
Journal:  J Anim Sci       Date:  1999-04       Impact factor: 3.159

3.  Skin tag as a cutaneous marker for impaired carbohydrate metabolism: a case-control study.

Authors:  Abbas Rasi; Razieh Soltani-Arabshahi; Nasim Shahbazi
Journal:  Int J Dermatol       Date:  2007-11       Impact factor: 2.736

4.  Dermatologic manifestation of hyperandrogenism: a retrospective chart review.

Authors:  Charlotte M Clark; Jennifer Rudolph; Donald A Gerber; Sharon Glick; Alan R Shalita; Eve J Lowenstein
Journal:  Skinmed       Date:  2014 Mar-Apr

5.  Association of IGF1 and IGFBP3 polymorphisms with colorectal polyps and colorectal cancer risk.

Authors:  Elisabeth Feik; Andreas Baierl; Barbara Hieger; Gerhard Führlinger; Astrid Pentz; Stefan Stättner; Werner Weiss; Thomas Pulgram; Gernot Leeb; Karl Mach; Michael Micksche; Andrea Gsur
Journal:  Cancer Causes Control       Date:  2009-09-26       Impact factor: 2.506

Review 6.  Mecasermin.

Authors:  Gillian M Keating
Journal:  BioDrugs       Date:  2008       Impact factor: 5.807

7.  IGF-1 gene polymorphism in obese patients with insulin resistance.

Authors:  Guzin Fidan Yaylali; Fulya Akin; Sabahat Turgut; Raziye Kursunluoglu
Journal:  Mol Biol Rep       Date:  2009-08-13       Impact factor: 2.316

8.  Quetelet's index (W/H2) as a measure of fatness.

Authors:  J S Garrow; J Webster
Journal:  Int J Obes       Date:  1985

Review 9.  Insulin resistance and skin diseases.

Authors:  Maddalena Napolitano; Matteo Megna; Giuseppe Monfrecola
Journal:  ScientificWorldJournal       Date:  2015-04-21

10.  Expression of insulin-like growth factor-1 receptor in keloid and hypertrophic scar.

Authors:  Z-C Hu; B Tang; D Guo; J Zhang; Y-Y Liang; D Ma; J-Y Zhu
Journal:  Clin Exp Dermatol       Date:  2014-08-22       Impact factor: 3.470

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