Literature DB >> 33223842

Effect of TNF-α -308G/A (rs1800629) Promoter Polymorphism on the Serum Level of TNF-α Among Iraqi Patients with Generalized Vitiligo.

Ronak Ahmed1, Dana Sharif2, Mohammad Jaf1,3, Dashty Mohammed Amin3.   

Abstract

BACKGROUND: Vitiligo is a chronic acquired pigmentary disorder of the skin; it results from immunological distruction of functioning melanocytes. The cytokine TNF-α plays a central role in the initiation of melanocyte apoptosis in vitiligo. Single nucleotide polymorphism (SNP) in the promoter region of the gene coding for serum TNF-α may affect its production.
OBJECTIVE: The aim of this study is to assess serum TNF-α as a risk factor for generalized vitiligo among Iraqi patients and to rule out that polymorphism at the -308 position affects serum TNF-α.
MATERIALS AND METHODS: This case-control study was conducted at Sulaymaniyah Dermatology Teaching Center (SDTC), Iraq. Serum concentration of TNF-α was measured using enzyme linked immunosorbent assay (ELISA) technique in 80 patients with generalized vitiligo and 40 clinically healthy controls. The amplification refractory mutation system polymerase chain reaction (ARMS-PCR) technique was used for detection of TNF-308G/A gene polymorphism. TNF-α level correlated with TNF-308G/A gene polymorphism. Serum concentration and TNF -308G/A gene polymorphism have been analyzed in correlation with demographic features and clinical characteristics of patients with generalized vitiligo.
RESULTS: Statistically significant elevation of serum TNF-α seen in patients compared to a control group (p-value 0.01). Significantly higher TNF-α level (p-value 0.01) found among patients with active generalized vitiligo. Elevated serum levels of TNF-α were significantly associated with both TNFA1 (TNF-308G) allele (p-value 0.04) and TNFA2 (TNF-308A) allele (p-value 0.03). TNF-α -308GA polymorphism was not affected by demographic features and clinical characteristics of patients with generalized vitiligo.
CONCLUSION: TNF-α in the serum is a risk factor for generalized vitiligo among Iraqi patients. Patients with active vitiligo have a higher serum TNF-α level. No difference was found between serum level of TNF-α with TNF-α polymorphism at position -308 (TNF -308). This involves substituting G allele for the A allele.
© 2020 Ahmed et al.

Entities:  

Keywords:  Iraq; generalized vitiligo; serum TNF-α −308G/A promoter polymorphism

Year:  2020        PMID: 33223842      PMCID: PMC7671505          DOI: 10.2147/CCID.S272970

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


Introduction

Vitiligo is a common acquired chronic depigmenting disorder of the skin leading to development of white macules or patches due to selective destruction of functioning melanocyte in skin, hair, or both.1 The global prevalence of vitiligo varies (0.2–1.8%) and is seen in both sexes and in all ethnicities. The disease may develop at any age although it is most common in children and young adults.1,2 In Iraq, vitiligo is the most common type of hypopigmented skin disorder.3 Although exact prevalence is not determined; in a hospital-based study of 1000 participants, 25% had vitiligo including both localized and generalized variants with their subtypes.4 Vitiligo is classified into generalized vitiligo and localized vitiligo. The generalized variant is the most common pigmentation disorder, occurring at a frequency of approximately 0.2–1.0% in different populations around the world5 and includes subtypes of vitiligo vulgaris, acrofacial vitiligo, vitiligo universalis, and mixed vitiligo. Localized vitiligo includes variants of focal, segmental, and mucosal vitiligo.6 Generalized vitiligo is characterized by well-defined, depigmented amelanotic (milk- or chalk-white) macules or patches surrounded by normal skin, However, at their onset or when actively spreading, lesions of vitiligo may be more ill-defined and hypo- rather than depigmented. Lesions are asymptomatically symmetrically distributed, round, oval, irregular, or linear in shape and ranging from millimeters to centimeters in diameter. In the vulgaris subtype, scattered patches are widely distributed on the face, dorsal aspect of the hands, nipples, axillae, umbilicus, sacral, inguinal and anogenital regions. While on the extremities, it favors the elbows, knees, digits, flexor wrists, dorsal ankles and shins. In the acrofacial variant, distal extremities and the face are involved, typically, facial vitiligo occurs around the eyes and mouth (periorificial). Mixed type of vitiligo presents as a combination of segmental subtype, unilateral and band shaped white macules with acrofacial and/or vulgaris types and, in universal vitiligo, complete or nearly complete depigmentation of the skin.7,8 The diagnosis of vitiligo is generally made through the appearance of reduced or lost skin pigmentation in a typical distribution pattern (including periorificial, segmental, lips and tips of the fingers, toes and/or penis, flexural surfaces, and frictional areas)1,9 The etiology of vitiligo is not fully understood: Most studies suggest an autoimmune mechanism is responsible for the pathogenesis of vitiligo, especially in the generalized variant. Autoimmune destruction of melanocytes mediated by innate immunity, cell-mediated, and humeral immunity as well as the action of cytokines.10 Tumor necrosis factor alpha (TNF-α) is extensively studied in vitiligo.11 TNF-α or cachectin, the prototypic member of the TNF superfamily with diverse functions in cell differentiation, inflammation, immunity, and apoptosis,12 is primarily secreted from activated macrophages although it may also be secreted by other cell types (including monocytes, T-cells, mast cells, NK cells, keratinocytes, melanocytes, fibroblasts, and neurons). TNF-α is synthesized as a transmembrane precursor protein (mTNF-α) with a molecular mass of 26 kDa.11,13 mTNF-α is cleaved by the action of the matrix metalloproteinase known as TNF-α converting enzyme (TACE) and released as soluble form (sTNF-α) that circulates throughout the body and confers TNF-α with its potent endocrine function far away from the site of its synthesis.14,15 The gene encoding for TNF-α is located in the short arm of chromosome number 6 in the major histocompatibility (HLA) complex class III region.16 Various polymorphisms have been identified inside the TNF-α promoter region, positioned relative to the transcription start site: −1031 (T→C), −863 (C→A), −857 (C→A), −851 (C→T), −419 (G→C), −376 (G→A), −308 (G→A), −238 (G→A), −162 (G→A), and − 49 (G → A).17 One polymorphism that directly affects TNF-α expression is located at nucleotide position −308. Here, a guanine is defined as the common allele (TNFA1); guanine substituted by adenosine forms the rarer allele (TNFA2).18 In vitiligo, TNF-α initiates melanocyte apoptosis, decreases melanogenesis, inhibits melanocyte stem cell differentiation, and increases melanocyte cytotoxicity19,20 Evidence from various studies showed that epidermal TNF-α plays a central role in melanocyte disappearance in vitiligo, while few studies determined role of serum TNF-α in vitiligo pathogenesis. These illustrate the differences in the distribution of HLA alleles and how they lead to variations in associations between TNF-α promoter gene polymorphisms in different geographical areas.21 Accordingly, we were encouraged to study the serum TNF-α level among Iraqi patients with generalized vitiligo and the association between TNF-α −308 GA promoter polymorphisms with serum levels of TNF-α.

Materials and Methods

Study Design and Setting

A case–control study was conducted in Sulaymaniyah Dermatology Teaching Center in the city of Sulaymaniyah, Iraqi Kurdistan from April 2018 to December 2019. The study group comprised 80 consecutive patients presented with subtypes of generalized vitiligo. Patients with localized vitiligo including focal, segmental, and mucosal vitiligo have been excluded in this study. In addition, all patients with generalized vitiligo associated with hypo- or hyperthyroidism, autoimmune thyroiditis, diabetes mellitus, pernicious anemia, and Addison’s disease; based on clinical examination and laboratory investigations have been excluded as well. This study was approved by the (Research Ethics Committee) of the College of Medicine, University of Sulaimani, in accordance with the Helsinki Declaration. Both, lingual and informed written consent have been taken from every participant. Demographic and biometric information included (eg, age, gender, time of onset of vitiligo, duration of presentation, family history of vitiligo, history of associated diseases, etc.). Forty age and sex-matched healthy volunteers were also enrolled as a control. Among the control group, neither themselves nor their first-degree relatives had any evidence of vitiligo, hypo- or hyperthyroidism, or other autoimmune disease including autoimmune thyroiditis, diabetes mellitus, pernicious anemia, and Addison’s disease. Venous blood samples (10 mL) were collected from patients and the control group under strict laboratory sterile condition, then divided into 2 (5 mL) tubes, Serum separated from one of the 5 mL was stored at −80 °C for further cytokine estimation. The remaining 5 mL blood samples were immediately stored in ethylenediamine tetra-acetic acid (EDTA) tubes and used for deoxyribonucleic acid (DNA) extraction then subsequent ARMS-PCR and Sangers sequencing.

Analysis of Serum Level of TNF-α

Serum levels of TNF-α in patients with generalized vitiligo and healthy controls were measured using the ELISA technique (DRG Instruments GmbH, Germany). The DRG TNF-ELISA is a solid phase assay performed on a microtiter plate. The assay uses monoclonal antibodies (MAbs) directed against distinct epitope of TNF. Standards and samples react both with capture monoclonal antibody (MAb1) coated on microtiter wells and with a monoclonal antibody (MAb2) labelled with horseradish peroxidase (HRP). After an incubation period that allowed the formation of sandwich coated MAb1/human TNF/MAb2/HRP, the microtiter plates are washed to remove unbound enzyme-labelled antibodies. Bound enzyme-labelled antibodies were measured via a chromogenic reaction. The chromogenic solution tetramethylbenzidine (TMB) in dimethylformamide was added and incubated. The reaction then stopped upon addition of stop solution and the microtiter plate was then read at the appropriate wavelength. The amount of substrate turnover was determined via a color change (via absorbance), and this is proportional to the TNF concentration. A calibration curve was then plotted and the TNF-α concentration in samples was determined via interpolation from the calibration curve and expressed as picograms per milliliter (pg/mL).

Detection of TNF-α −308G/A Polymorphism

TNF-α −308G/A gene polymorphism was detected on serum samples both in patients with generalized vitiligo and the healthy control, using ELISA technique (DRG Instruments GmbH, Germany). The DRG TNF-ELISA is a solid phase assay performed on microtiter plate. The assay uses monoclonal antibodies (MAbs) directed against distinct epitopes of TNF. Standards and samples both react with capture monoclonal antibody (MAb1) coated on microtiter wells and with monoclonal antibody (MAb2) labelled with horseradish peroxidase (HRP). After an incubation period allowing the formation of a sandwich coated MAb1/human TNF/MAb2/HRP, the microtiter plates are washed to remove unbound enzyme-labelled antibody. Bound enzyme-labelled Ab was measured via a chromogenic reaction. The chromogenic solution tetramethylbenzidine (TMB) in dimethylformamide was added and incubated. The reaction was stopped upon addition of stop solution and the microtiter plate was then read at the appropriate wavelength. The amount of substrate turnover was determined via a color change (absorbance). This is proportional to the TNF concentration. Calibration curve plotted and TNF-α concentration in samples determined via interpolation from the calibration curve and expressed as pictograms/milliliter (pg/mL). TNF-α −308G/A gene polymorphism was detected via ARMS–PCR. A genomic DNA extraction kit (RIBO-prep; AmpliSens, Moscow 111,123 Russia) used to extract DNA from a fresh whole blood sample according to the manufacturer’s protocol. ARMS–PCR is a variant of PCR based on the principle that under optimized conditions, the primers with 3′ end mismatch with the complementary template DNA will not result in amplification of a targeted DNA fragment. For each DNA template, two complementary reactions were established in each set of primers: one forward primer to screen for the G allele and the A allele as well as a common reverse primer.22 Forward G allele primer: 5`-ATAGGTTTTGAGGGGCATCG-3` Common Reverse Primer: 5`-AAGAATCATTCAACCAGCGG-3` Forward A allele primer: 5`-ATAGGTTTTGAGGGGCATCA-3 Common Reverse Primer: 5`-AAGAATCATTCAACCAGCGG-3` Each PCR reaction contained 10 microliters master mix (MyTaqTM HS Mix-Bioline, USA), 10 pmol primer, and 20 ng of template DNA. The PCR was performed using three-step cycling protocol with initial denaturation for polymerase activation (95 °C/5 min) 1 cycle followed by denaturation (95 °C/30 sec), annealing (56 °C/30 sec), and extension (72 °C/30 sec) 40 cycle. Final extension was 72 °C/5 sec for 1 cycle (Bio-Rad C1000 Thermal Cycler, USA). Known positive and negative controls were included in the run with every batch of the amplification. PCR products were analyzed in 1% agarose gel (Canvax Biotech): 1.0 g of agarose was dissolved in 100 mL (1X TAE buffer TAE: Tris-acetate EDTA) stained with SYBR Safe Dye (GENETBIO). Gels were placed horizontally in plastic tanks (BioRad) and run at 110 volts for the appropriate time. The size of the target DNA bands compared with 100 bp DNA ladders (GENETBIO). Later, gels were documented with images taken under ultraviolet light (Ultraviolet Transilluminator, BioDoc-It). A random sample of 10 patients has been selected for Sanger sequencing.

Statistical Analysis

Continuous variables were presented as mean, standard deviation, and median. Chi-squared tests were used to compare the categorical data. The results were analyzed statistically using independent t-test and analysis of variance (ANOVA) test; p ≤ 0.5 was assumed significant. All the calculations were performed using Statistical Package for the Social Sciences from IBM (SPSS), version 24.

Results

Demographic and Clinical Characteristics of Patients with Generalized Vitiligo

The mean age of vitiligo patients and controls were (28.8±12.4) years and (33.0±12.7) years, respectively. Age varied from 7–50 years in patients and from 9–49 years in the healthy control. Mean age of onset of patients with generalized vitiligo (21.53 ±12.77) years. Females with vitiligo were 57 (71.2%) compared to 23 males (28.8%). The control group consisted of 18 females (45%) and 22 males (55%). Fitzpatrick’s skin phototype IV (light brown skin) constituted the most common skin phototype of the patients (53.0%). Vitiligo vulgaris was the most frequent variant of generalized vitiligo (n = 71; 88.8%) followed by acrofacial vitiligo (n = 5; 6.35%). Cosmetic appearance recorded to be the most frequent chief complaint in patients and accounted for 67 patients (83.7%). The majority of the patients (70%) had vitiligo for more than 2 years. Positive family history among first-degree relatives was 22.5%. Grade +2 vitiligo disease activity (VIDA) score was the most common grade of vitiligo activity reported in 35 patients (43.8%). Vitiligo extent score was between 2–10 and found in 30 patients (37.5%). Table 1 shows the demographic and clinical characteristics of patients with generalized vitiligo.
Table 1

Demographic and Clinical Characteristics of Patients with Generalized Vitiligo

VariablesFrequencyPercentage
Gender
 Female5771.2%
 Male2328.8%
Fitzpatrick’s skin phototypes
 II (Fair skin blue eyes)111.3
 III (Darker white skin)2025.0
 IV (light brown skin)4353.0
 V (Brown skin)1620.0
Clinical variants of vitiligo
 Vitiligo vulgaris7188.75
 Acrofacial vitiligo56.3
 Vitiligo universalis33.8
 Mixed vitiligo11.25
Chief complaint
 Cosmetic appearance6783.8
 Cosmetic appearance and pruritus1012.5
 Pruritus22.5
 Sun burn11.3
Duration of presentation
 Vitiligo > 2 years5670.0
 Vitiligo ≤ 2 years2430.0
Family history of vitiligo
 Positive for first degree relative1822.5
 Positive for second degree relative1620.0
VIDA score
 +4 Activity of 6 weeks or less78.8
 +3 Activity of 6 weeks to 3 months1113.8
 +2 Activity of 3–6 months3543.8
 +1 Activity of 6–12 months1316.3
 0 Stable for 1 year or more45.0
 −1 Stable with spontaneous re-pigmentation for ≥1 year911.3
VES score
 < 23138.8
 2–103037.5
 10–201113.7
 >20810.0
Associated leukotrichia2430
Premature hair greying1518.8
Positive Koebner phenomenon2227.5

Notes: Mean age ± SD (years): (28.8 ± 12.4). Mean age of onset ± SD (years): (21.53 ± 12.77).

Demographic and Clinical Characteristics of Patients with Generalized Vitiligo Notes: Mean age ± SD (years): (28.8 ± 12.4). Mean age of onset ± SD (years): (21.53 ± 12.77).

Serum Level of TNF-α in Patients and Controls

In the current study, serum concentration was measured both in patients with generalized vitiligo and the clinically healthy control using ELISA. The TNF-α concentration was significantly higher among the patient group versus the age- and sex-matched healthy control group (p-value 0.01) (Table 2, Figure 1).
Table 2

Serum Concentration of (TNF-α) of Patients and Control Groups

TNF‐α Concentration (pg/mL)
Range ValuesMean ±SD
Patients (n = 80)3.06–80.0712.92 ± 14.40
Controls (n = 40)2.64–22.516.43 ± 4.24

Note: p-value< 0.05; significant.

Abbreviations: SD; standard deviation; pg/mL, picogram/milliliter (concentration of TNF-α in the serum).

Figure 1

Error-bar: differences in serum TNF-α level in patient and control groups.

Serum Concentration of (TNF-α) of Patients and Control Groups Note: p-value< 0.05; significant. Abbreviations: SD; standard deviation; pg/mL, picogram/milliliter (concentration of TNF-α in the serum). Error-bar: differences in serum TNF-α level in patient and control groups. Odds ratio for high level TNF-α (more than cutoff point which is found by ROC curve as 5.7) is 2.81 with 95% CI (1.285 to 6.143), p-value (0.01), that indicates a significant elevation of TNF-α among patients with generalized vitiligo compared to healthy controls.

Correlation of Serum Level of TNF-α with Patient Demographic and Clinical Characteristics

The elevated serum level of TNF-α was analyzed in relation to age, gender, disease duration, family history of vitiligo, and activity of vitiligo (based on VIDA score and VES scores, both used to determine extent of skin surface involvement). There was no significant correlation of elevated serum level of TNF-α with the mean age of the patients (p-value 0.31), age of onset (p-value 0.33), gender (p-value 0.55), positive family history of vitiligo (p-value 0.78) and duration of generalized vitiligo (p-value 0.27). Using the VIDA score, the correlation of serum TNF-α concentration with the activity of generalized in patients with active generalized vitiligo was statistically significantly (p-value 0.01), higher serum level in more active disease. Using VES score, correlation of skin surface involvement with serum level of TNF- α was statistically not significant among the four groups of VES score (p-value 0.98) (Table 3).
Table 3

Correlation of Serum TNF-α Level with Clinical Characteristics

VariablesSerum Level of TNF-α (Mean ±SD) pg/mLp-value
Family history of vitiligo
 Positive13.39 ± 13.490.78
 Negative12.49 ± 15.32
Duration of the disease
 ≤ 2 years15.62 ± 18.990.27
 > 2 years (n= 56)11.76 ± 11.93
VIDA score
 −16.10 ± 4.630.02
 022.98 ± 16.91
 18.27 ±6.22
 216.78 ±8.11
 312.51 ±4.99
 413.20 ±10.89
Vitiligo extent score
 < 212.37±16.900.98
 2–1013.77±14.20
 10.1.2012.79 ± 10.97
 > 2012.02 ± 10.12
Correlation of Serum TNF-α Level with Clinical Characteristics

TNF-α −308 G/A Promoter Polymorphism

Single nucleotide polymorphism in the promoter region of TNF-α (−308G/A) in patients with generalized vitiligo and clinically healthy control subjects was detected using ARMS-PCR. The distribution of genotypes and alleles of TNF-α (−308G/A) is shown in Table 4. No statistically significant difference between the allele and genotype frequencies for TNF-α (−308G/A) was seen, both in patients and the control (p-value 0.21). Odds ratio for genotype G/A compared to G/G genotype was 1.12 with 95% CI (0.469 to 2.676) which means it was not significant (p-value 0.798). The result of Sanger sequencing on PCR product for 10 random samples were comparable to that of ARMS–PCR.
Table 4

Genotype and Allele Distribution of TNF-α (−308G/A) in Patient and Control

Genotype and AllelesPatients (No.)Controls (No.)Totalp-value*
Genotype
 Homozygous G/G4627730.21
 Heterozygous G/A211132
 Homozygous A/A13215
 Total8040120
Alleles
 G (Wild)67381050.31
 A (Rare)341347
 Total10151152

Note: *p-value< 0.05; significant.

Genotype and Allele Distribution of TNF-α (−308G/A) in Patient and Control Note: *p-value< 0.05; significant.

Correlation of TNF-α −308 G/A Promoter Polymorphism with Demographic and Clinical Characteristics of Patients with Generalized Vitiligo

TNF-α −308GA polymorphism has been analyzed in correlation with mean age, onset of the disease, gender, family history, VIDA score and VES score. A statistically non-significant correlation was found between TNF-α −308G/A polymorphism with age (p-value 0.80), age of onset (p-value 0.74), gender (p-value 0.82), positive family history of vitiligo (p-value 0.23), VES score (p-value 0.76) and VIDA score (p-value 0.66) (Table 5, Figure 2).
Table 5

Correlation of Serum Level of TNF-α with −308 GA Promoter Polymorphism

Serum TNF-α/-308 GA PolymorphismTNF‐α Concentration (Mean±SD) in pg/mLp-value
PatientsControls
Homozygous G/G13.51 ± 16.566.85 ± 4.790.046
Heterozygous G/A11.50 ± 7.815.84 ± 2.930.03
Homozygous A/A12.96 ± 14.534.06 ± 0.620.42

Note: p-value < 0.05; significant.

Abbreviations: SD, standard deviation; pg/mL, picogram/milliliter concentration of TNF-α in the serum.

Figure 2

Box plot showing correlation of serum TNF‐α level with genotypes and allele frequencies in patient and control groups.

Correlation of Serum Level of TNF-α with −308 GA Promoter Polymorphism Note: p-value < 0.05; significant. Abbreviations: SD, standard deviation; pg/mL, picogram/milliliter concentration of TNF-α in the serum. Box plot showing correlation of serum TNF‐α level with genotypes and allele frequencies in patient and control groups.

Correlation of Serum Level of TNF-α with −308 G/A Promoter Polymorphism

Elevated serum level of TNF-α was significantly associated with both TNFA1 (TNF-308G) wild alleles (p-value 0.04) and TNFA2 (TNF-308 A) rare allele (p-value 0.03) (Table 6).
Table 6

Correlation of TNF-α Promoter Polymorphism with Patient Clinical Characteristics

VariablesTNF-α Promoter Polymorphismp-value
G/GG/AA/A
Age (years)
 Mean ±SD34.5± 7.024.5 ± 8.019.0±90.8
 Onset of the disease22.22 ± 12.9821.29 ± 12.8019.46 ± 12.690.79
Gender
 Males13640.97
 Female34149
Family history of vitiligo
 Positive20 (43.5%)9 (42.9%)9 (69.2%)0.23
 Negative26 (56.5%)12 (57.1%)4 (30.8%)
VIDA score
−14 (8.9%)1 (4.8%)2 (15.4%)0.66
 05 (11.1%)4 (19%)2 (15.4%)
 120 (44.4%)11 (52.4%)4 (30.8%)
 29 (20%)2 (9.5%)2 (15.4%)
 32 (4.4%)0 (0%)2 (15.4%)
 45 (11.1%)3 (14.3%)1 (7.7%)
VES score
 < 25 (11.1%)3 (14.3%)1 (7.7%)0.76
 2–1015 (32.6%)8 (38.1%)7 (53.8%)
 10–206 (13%)3 (14.3%)2 (15.4%)
 > 204 (8.7%)3 (14.3%)1 (7.7%)
Correlation of TNF-α Promoter Polymorphism with Patient Clinical Characteristics

Discussion

Vitiligo is a polymorphous, multifactorial, and polygenic disease characterized by loss of melanocytes from the epidermis and hair follicle reservoirs.23 Many studies indicated that vitiligo is mostly acquired early in life, and the majority of patients present in the second or third decade of life.24 In our study, 22 patients (27.5%) were younger than 20 years old, these results were comparable to that of Al-Mutairi and Al-Sharma,25 Sonja et al26 and Oguz Topal et al.27 Mean age of onset (±SD) was 21.53±12.77, this is consistent with a study in India by Mahajan et al28 that reported the mean age of onset of vitiligo as 20.5 years for 945 patients, and a study by Oguz Topal et al in Turkey 30.2±16.9 years. Although vitiligo is found in both sexes, some studies reported it to be more common in women.29,30 In the current study, 57 (71.2%) patients were female compared to only 23 (28.8%) males and male to female ratio (0.4:1). Study by Akay et al31 in Turkey also reported 80 patients with vitiligo consisted of only 30 males (37.5%) with the rest 62.5% female. In two other studies one in Turkey by Gönül et al32 and the other in China by Lu et al,33 male to female ratio were more similar. Difference in the sample size and female patients seeking treatment more than males may explain the difference in the result between these studies.34 In our study, vitiligo vulgaris was the most frequent variant of generalized vitiligo, accounting for 71 (88.8%), followed by acrofacial vitiligo 5 (6.35%), vitiligo universalis 3 (3.8%), and mixed vitiligo was recorded in only one (1.3%) patient, similar results were also found in earlier studies by Oguz Topal et al27 in Turkey, Mahajan et al28 and Shah et al35 in India. Cosmetic appearance and/or disability was the most frequent complaint(s) (67 patients; 83.7%) to enroll more females into this study. Cosmetic appearance associated with pruritus was recorded in 10 (12.5%) patients while sunburn was the chief complaint for only one patient (1.3%). A study done by Kanwar et al36 found the majority of the participants experienced significant photosensitivity as a second most common complaint to itching in addition to cosmetic concern. A positive family history for vitiligo among first-degree relatives of patients with vitiligo was 22.5%, while 20% of patients had a positive family history of vitiligo among their second-degree relatives. A study by Mahajan et al28 showed that among 945 participants, a positive family history of vitiligo was found in 150 (15.9%) patients with first-degree relatives being 9.5% and second/third-degree relatives in 6.3% of patients. Shah et al35 reports positive family history of vitiligo in half of the enrolled cases. TNF-α is a major cytokine initiating apoptosis of melanocytes in vitiligo37 Adhesion molecules such as intercellular adhesion molecule-1 (ICAM-1) are overexpressed in melanocytes from vitiligo lesions, and cytokines such as TNF-α can induce their expression on the surface of epidermal melanocytes38,39 This pathway could influence melanocyte target recognition by T-cells, and mediate immunologic cytotoxic damage. TNF-α can inhibit melanogenesis by decreasing the intracellular levels of tyrosinase and tyrosinase-related protein 1 an abundant melanosomal glycoprotein involved in both melanogenesis and prevention of melanocyte death.40,41 In our study, there was a significant elevation of serum TNF-α among patients with generalized vitiligo. Similar results were found in earlier studies by Laddha et al,42 Sushama et al43 and Singh et al,44 although the result was not statistically significant in the later study. Statistically no significant difference was found between serum level of TNF-a with each of age, age of onset, and gender. A study by Laddha et al,42 showed significantly higher transcript and protein levels of TNF-a in female patients compared to males. Mean (±SD) of TNF-α serum concentration for 24 patients with duration of vitiligo ≤2 years was 15.62 ± 18.99 (pg/mL) and for 56 patients with duration of vitiligo >2 years was 11.76 ± 11.93 (pg/mL). A negative correlation was found between serum level of TNF-α and duration of generalized vitiligo (p-value 0.27). Sushama et al43 was the first to find a negative correlation of serum level of TNF-α with the duration of vitiligo, like our study. In the current study, in 56 patients (70%) there were appearances of new white macule of vitiligo while in the remaining 24 patients (30%) there were enlargement of preexisting vitiligo lesion (as a marker of disease activity over variable periods of time using VIDA score). We found that patients with active generalized vitiligo have a significantly higher TNF-α level, a similar result was reported by Laddha et al42 and Aydingoz et al.45 A negative correlation of serum level of TNF-α and extent of skin involvement is found in our study, similar to a study by and Laddha et al42 but contrary to a study by Sushama et al43 that found elevated serum level of TNF-α among localized and generalized skin surface involvement groups. The underlying mechanism that results in the increase in the serum level of TNF-α is unclear. There are several SNPs in the promoter region of TNF-α gene that affected the expression and thus elevation of the serum level of TNF-α46,47 These include the association of SNPs at the promoter region of TNF-α (−308 GA); its association with vitiligo has been studied in different populations. To our knowledge, there are no reported or published works studying the Iraqi population, our study will be the first on this topic. TNF-α −308G/A polymorphism displays increased gene transcription. Allele A (TNF-α 2 allele) lies on the extended haplotype HLA-A1-B8-DR3-DQ2 and has been demonstrated to be a much stronger transcriptional activator that produces levels of TNF-α transcription 6–7 fold greater, this is associated with high TNF-α production. Moreover, TNF-α (−308G/A) promoter polymorphism has a direct effect on the TNF-α gene regulation (increased TNF-α expression) and may be responsible for association of allele A with the high TNF-α phenotype and more severe diseases.48 A single-base polymorphism within the promoter region of TNF-α gene results in 2 allelic forms, one in which guanine defines the common allele (TNFA1) (homozygous G/G) and the other in which guanine is substituted by adenosine forms the rarer allele (TNFA2) (heterozygous G/A). Serum level of TNF-α is elevated among patients with homozygous G/G allele compared to controls (p-value 0.046). Similarly, an elevated serum level of TNF-α among patients with heterozygous G/A was found compared to the control group (p-value 0.03). Comparative statistical analysis of serum level of TNF-α with different genotypes done with the p-value of 0.21, and with different alleles p-value of 0.31 was found. This result is similar to Yazici et al49 in Turkey who reported a lack of difference in G/G and G/A alleles distribution between study group (p-value > 0.05) Our study is also comparable with that done by Odeh et al that reported similar results in the Jordanian population.50 Our study is in contradiction with two earlier studies by Aydıngöz et al51 in Turkey and Al-Harthi et al51 in Saudi Arabia, both confirmed increased TNF-α −308G/A polymorphism with increased levels of this cytokine is patients with vitiligo. These conflicting results can be explained by differences in distribution of HLA alleles among different populations and within subgroups of the same population. The two studies in Turkey were between two different subgroups with different results. Differences in the sample size between the various studies may also explain the different results as well.

Conclusion

Serum TNF-α is significantly elevated among Iraqi patients with generalized vitiligo. No difference was found between serum levels of TNF-α with TNF-α polymorphism at position −308 (TNF −308). This involves substituting the G allele for the A allele.
  44 in total

1.  Association of TNF2, a TNF-alpha promoter polymorphism, with septic shock susceptibility and mortality: a multicenter study.

Authors:  J P Mira; A Cariou; F Grall; C Delclaux; M R Losser; F Heshmati; C Cheval; M Monchi; J L Teboul; F Riché; G Leleu; L Arbibe; A Mignon; M Delpech; J F Dhainaut
Journal:  JAMA       Date:  1999-08-11       Impact factor: 56.272

Review 2.  Disease causing mutations in the TNF and TNFR superfamilies: Focus on molecular mechanisms driving disease.

Authors:  Adrian A Lobito; Tanit L Gabriel; Jan Paul Medema; Fiona C Kimberley
Journal:  Trends Mol Med       Date:  2011-07-02       Impact factor: 11.951

3.  Vitiligo prevalence study in Shaanxi Province, China.

Authors:  Tao Lu; Tianwen Gao; Anhui Wang; Yan Jin; Qiang Li; Chunying Li
Journal:  Int J Dermatol       Date:  2007-01       Impact factor: 2.736

4.  Evaluation of the Clinical and Sociodemographic Features of Turkish Patients with Vitiligo.

Authors:  Ilteris Oguz Topal; Hatice Duman; Sule Gungor; Emek Kocaturk; Pelin Kuteyla Can
Journal:  Acta Dermatovenerol Croat       Date:  2016-06       Impact factor: 1.256

5.  Epidemiology of vitiligo, associated autoimmune diseases and audiological abnormalities: Ankara study of 80 patients in Turkey.

Authors:  B N Akay; M Bozkir; Y Anadolu; S Gullu
Journal:  J Eur Acad Dermatol Venereol       Date:  2010-10       Impact factor: 6.166

Review 6.  TNF-alpha gene polymorphism: clinical and biological implications.

Authors:  A H Hajeer; I V Hutchinson
Journal:  Microsc Res Tech       Date:  2000-08-01       Impact factor: 2.769

7.  Lack of association with TNF-alpha-308 promoter polymorphism in patients with vitiligo.

Authors:  Ayca Cordan Yazici; M Emin Erdal; Tamer Irfan Kaya; Guliz Ikizoglu; Kaan Savasoglu; Handan Camdeviren; Umit Tursen
Journal:  Arch Dermatol Res       Date:  2006-04-21       Impact factor: 3.017

Review 8.  Transmembrane TNF-alpha: structure, function and interaction with anti-TNF agents.

Authors:  Takahiko Horiuchi; Hiroki Mitoma; Shin-ichi Harashima; Hiroshi Tsukamoto; Terufumi Shimoda
Journal:  Rheumatology (Oxford)       Date:  2010-03-01       Impact factor: 7.580

9.  Mechanisms of melanogenesis inhibition by tumor necrosis factor-alpha in B16/F10 mouse melanoma cells.

Authors:  M Martínez-Esparza; C Jiménez-Cervantes; F Solano; J A Lozano; J C García-Borrón
Journal:  Eur J Biochem       Date:  1998-07-01

Review 10.  Tumour necrosis factor gene polymorphism and disease prevalence.

Authors:  T Qidwai; F Khan
Journal:  Scand J Immunol       Date:  2011-12       Impact factor: 3.487

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  2 in total

Review 1.  An Exploratory Critical Review on TNF-α as a Potential Inflammatory Biomarker Responsive to Dietary Intervention with Bioactive Foods and Derived Products.

Authors:  Stefano Quarta; Marika Massaro; Maria Annunziata Carluccio; Nadia Calabriso; Laura Bravo; Beatriz Sarria; María-Teresa García-Conesa
Journal:  Foods       Date:  2022-08-21

Review 2.  The Role of Immunogenetics in COVID-19.

Authors:  Fanny Pojero; Giuseppina Candore; Calogero Caruso; Danilo Di Bona; David A Groneberg; Mattia E Ligotti; Giulia Accardi; Anna Aiello
Journal:  Int J Mol Sci       Date:  2021-03-05       Impact factor: 5.923

  2 in total

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