Literature DB >> 35712358

Expression Patterns of Macrophage Migration Inhibitory Factor and Its Gene Variants (MIF-173 G˃C) in Verruca Vulgaris.

Mohammed H Hassan1, Sawsan Abuhamdah2,3, Bakheet E M Elsadek4, Ashraf Abdelwahab5, Tarek Hamdy Abd-Elhamid6, Hanan M Fayed7, Amany Abbass8, Ahmed Alamir Mahmoud Abdallah9, Marwa Mohamed5, Wafaa Mohamed Abd-Elmagid5.   

Abstract

Introduction: Verruca vulgaris is a benign hyperkeratotic proliferation of the epidermis. Few studies look at the differences in serum and tissue macrophage migration inhibitory factor (MIF) levels in verruca vulgaris, as well as its gene polymorphisms that have yet to be explored. The current study provided in-depth evaluation of MIF in serum and tissues of patients with verruca vulgaris, and establishes for the first time the possible association of MIF gene polymorphisms with common warts.
Methods: This case-control study included 50 patients who were diagnosed clinically as common warts in comparison with 50 age and sex-matched controls. Clinical examination was done on all included cases. Serum MIF was measured using enzyme-linked immunosorbent assay (ELISA), while its tissue expression was analyzed using Western blotting and immunohistochemical techniques for the included participants. Analysis of MIF-173 G˃C single nucleotide polymorphism was performed by polymerase chain reaction (PCR) using restriction fragment length polymorphism (RFLP) technique.
Results: The overall results revealed significantly lower MIF tissue expression in lesional and perilesional skin biopsies from cases compared to the controls using Western blot and immunohistochemical analysis. Yet, the difference in the serum MIF levels between cases and controls was not significant (p ˃ 0.05). GC genotype of the studied MIF rs755622 G>C SNP could be considered as a protective genetic factor against the occurrence of verruca vulgaris among Egyptians with OR (95% CI) equal 0.444 (0.199-0.989).
Conclusion: MIF and its genetic variants are thought to play a pathogenic role in verruca vulgaris development and recurrence.
© 2022 Hassan et al.

Entities:  

Keywords:  MIF rs755622 G>C SNP; RFLP-PCR; common warts; immunohistochemistry; macrophage migration inhibitory factor; western blot

Year:  2022        PMID: 35712358      PMCID: PMC9196281          DOI: 10.2147/CCID.S363916

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


Introduction

The human papillomavirus (HPV) causes verruca vulgaris (common wart), a benign hyperkeratotic proliferation of the epidermis. Warts are very widespread all over the world, and the infection is frequently contracted as a child. Warts can cure on their own, but adult warts are more tenacious and difficult to treat. They are most typically found on the hands and fingers, and they can cause physical and psychological distress in those who are affected.1,2 The virus’s eradication is linked to viral antigens being exposed to the host’s circulating immunity and the emergence of a delayed immune response. The virus primarily stimulates a T-cell humoral response, and prolonged infection can be detected in patients with a low T-cell population (HIV infection, post-chemotherapy).3 Many studies have explored the significant role of cytokines in the pathogenesis, progression, and development of numerous viral-induced dermatological diseases (via influencing both innate and cellular immune responses).4–8 Because viruses can hijack host machinery to accelerate viral replication, cutaneous viral infection poses a particular challenge to the skin’s immune system.9 The macrophage migration inhibitory factor (MIF) is an example of a cytokine that is important in the host immune response but has been little investigated in the pathophysiology of verruca vulgaris. During the earliest antiviral reactions against HPV in cutaneous tissues, the host’s innate immunity plays a significant role. To evade immune responses, HPV modifies multiple host cellular pathways, resulting in virus-mediated immunosuppression.9 Migration inhibitory factor is found in a range of cell types, including B cells, T cells, and macrophages, and plays a role in innate immunity mediation by promoting host inflammatory reactions through the start of pro-inflammatory, hormonal, and enzymatic activities.10 MIF also regulates host inflammatory responses by modifying cellular mechanisms such as T-cell dissemination, p53-dependent apoptosis reduction, and glucocorticoid immunosuppression counterbalancing.11 The promoter region of the MIF gene (OMIM: 153620) contains a single nucleotide polymorphism (SNP) 173 G>C (rs755622) that closely corresponds with the susceptibility and severity to numerous autoimmune and inflammatory diseases.12,13 Previous two recent studies were done to assess the role of MIF levels in patients with common warts, based on ELISA only,14,15 and both of them had opposing opinion regard this issue. Here, we hypothesized that “MIF and its gene polymorphism may play a role in either the development and/or recurrence of verruca vulgaris”. To fill the existing gap in the literature and to test our hypothesis, we conducted our study using ELISA, Western blot method, and immunohistochemistry to analyse MIF expression in blood and skin tissues to investigate the potential role of MIF in the pathogenesis of verruca vulgaris. We also look for the first time into the significance of the MIF 173 G>C (rs755622) SNP in the development and recurrence of verruca vulgaris.

Materials and Methods

Study Design and Participants

The study involved 50 verruca vulgaris patients who were chosen at random from the Dermatology Outpatient Clinic at Sohag University Hospital, Faculty of Medicine, Sohag University, Sohag, Egypt. The included patients were compared to a control group of 50 unrelated, healthy, age- and sex-matched participants. After receiving approval from the Research Committee at Sohag University’s Faculty of Medicine, the current study was done between June 2019 and May 2021. Before the study began, each subject was told of the study’s purpose and given written informed agreement to participate. The research was carried out following the Helsinki Declaration. We adjusted the sample size to attain 80% power and a 5% confidence level of significance (type I error).

Inclusion and Exclusion Criteria

The study included both males and females who were 18 years or older who had verruca vulgaris but had not received systemic (immunotherapy) or topical treatment for at least a month before the skin samples were taken. Patients who were pregnant, breastfeeding, or had a history of systemic illnesses such as autoimmune disorders, diabetes mellitus, malignancies, or hypertension were excluded from the study.15

Dermatological Assessment of the Included Patients

Each patient was given a detailed medical history and a complete clinical examination, which covered age, sex, medical and family history, and disease characteristics (including duration, number, and distribution of common warts, primary or recurrent lesions).

Laboratory Workup

Blood and Tissue Samples

Five mL of blood was taken from each participant and separated into two parts: the first (2 mL) was evacuated into EDTA-containing tubes and immediately frozen at −80°C until MIF genetic analysis. While the remaining amount (3 mL) was evacuated into a separator gel tube, centrifuged at 822 g for 15 minutes, and the separated sera were divided into aliquots using 1-mL cryotubes and stored at −20°C for biochemical MIF assays later. After being locally anaesthetized with 2% lidocaine, skin punch biopsies (4 mm) were taken from a) the lesion and b) the skin around warts (perilesional skin) of the included cases and c) the back of the controls at the Dermatology Department of Sohag University Hospital, and each skin biopsy was divided into two parts: The first part was homogenised in ice-cold Tris-HCl lysis buffer, pH 7.4, containing 1% protease inhibitor cocktail (Cell Signaling Technology, Inc., MA, USA) using a Potter-Elvehjem rotor-stator homogenizer (glass/teflon homogenizer), fitted with a teflon pestle, and stored in a frozen matter at −80°C for later assessment of tissue MIF expression by Western blotting technique.16 For immunohistochemical examination of MIF expression, the second part was fixed in 10% formalin.

Biochemical Assays of Serum MIF Levels

Serum MIF levels were measured by ELISA multiskan EX micro-plate-photometer (STAT FAX-2100; Thermo Scientific, Palm City, FL, USA), using a commercially available ELISA assay kit supplied by Chongqing Biospes Co., Ltd, Chongqing, China (Catalog No. BYEK3015).

Western Blotting Assessments of MIF Expression Levels

Skin tissue specimens were homogenized in ice-cold RIPA lysis buffer (Sigma-Aldrich, Milan, Italy), containing 1% protease inhibitor cocktail (Cell Signaling Technology, Inc., MA, USA, Cat#5871) using Potter-Elvehjem rotor-stator homogenizer (glass/teflon homogenizer), fitted with a Teflon pestle and stored frozen at −70°C for subsequent assessment of tissue MIFexpressions by Western blotting technique. Proteins in each corresponding liver tissue sample were denatured at 95°C for 5 minutes in 2× Laemmli buffer followed by the addition of 5% 2-mercaptoethanol. SDS–PAGE electrophoresis was achieved by loading 30 µg protein per lane at 75 volts through resolving gel 10% followed by 125 volts for approximately 2 hours and transferred to a PVDF membrane using T-77 ECL semidry transfer unit (Amersham BioSciences UK Ltd) for 2 hours. Immunoblotting was performed by incubating the PVDF membrane in TBS buffer containing 0.1% Tween and 5% non-fat milk for one hour at 4°C, followed by overnight incubation separately at 4°C with a rabbit polyclonal anti-MIF antibody (Chongqing Biospes Co. ltd, China, Cat# YPA2198) at a dilution of 1:1000. After being washed three times with TBST buffer, each membrane was incubated for 1 hour at room temperature with an alkaline phosphatase-conjugated goat anti-rabbit secondary antibody (Novus Biologicals, LLC, Littleton, CO, USA, Cat# NB7157) at a dilution of 1:5000. After being washed four times in TBST, the membrane-bound antibody was detected with a commercially available BCIP/NBT substrate detection Kit (Genemed Biotechnologies, Inc., CA, USA, Cat# 10=0007). Equivalent protein loading for each lane was confirmed by stripping and re-blotting each membrane at 4°C against a mouse monoclonal anti-β-actin antibody (Novus Biologicals, LLC, Littleton, CO, USA, NBP1-47423) at a dilution of 1:5000. The analysis was repeated 3 times to assure the reproducibility of results (see ). Quantification was performed using ImageJ software and expressed as the band density relative to that of β-actin.17,18

Immunohistochemical Analysis of MIF

Skin samples were fixed in 10% formalin for immunohistochemistry. Fixated samples were rinsed in tap water, dehydrated with ethanol at increasing concentrations, cleaned with xylene, and embedded in paraffin. In descending grades of ethanol, paraffin sections were deparaffinized and rehydrated. Epitopes were extracted by boiling sections in citrate buffer (pH 6.0) in the microwave. Endogenous peroxidase was inhibited by soaking slides in ethanol containing 3% hydrogen peroxide. For 60 minutes at room temperature, sections were incubated with rabbit anti-human MIF (Chongqing Biospes Co., Ltd, Chongqing, China, dilution 1:50). After washing in TBS-T, sections were incubated for 2 hours at room temperature with HRP-conjugated goat anti-rabbit secondary antibodies (Thermofisher Scientific, Rockford, IL, USA) at a dilution of 1:250. After washing in TBS-T, sections were incubated for 3 minutes with 0.05% diaminobenzidine (DAB) and 0.01% H2O2 to visualise the reaction product. We skipped the primary antibodies during the staining of several of our slides to avoid non-specific binding.

MIF-173 G˃C Single Nucleotide Polymorphism Detection Assay

Extraction of Genomic DNA

G-spinTM total DNA extraction kit protocol (iNtRON Biotechnology, Inc, Korea) was used to extract genomic DNA from whole blood according to the manufacturer’s instructions. For subsequent genetic analysis, the isolated DNA was stored at −80°C.

MIF Genotyping

All participants were genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), for one restriction site in the MIF gene, MIF-173 G˃C (rs755622) single nucleotide polymorphism. Two specific oligonucleotide primers were used that are complementary to the 3’ ends of each of the sense and antisense strands of the DNA target (supplied by Beijing SBS Genetech, China): The forward primer 5′-ACTAAGAAAGACCCGAGGC-3′. The reverse primer 5′-GGGGCACGTTGGTGTTTAC-3′, in concordance with previous protocols.19,20 After mixing 12.5μl from the PCR master mix solution (Catalog no. 25028, iNtRON Biotechnology, Korea) with 1 μL forward primer, 1 μL reverse primer (both primers with a concentration of 10 nmol), 8.5 μL nuclease-free water, and 2μl of extracted DNA with a total volume 25 μL, the following PCR conditions were used: the following temperature profile was used for 35 cycles after 10 min of initial denaturation at 94°C: 94°C for 30 seconds, 60°C for 30 seconds, 72°C for 60 seconds, and a final extension of 10 min, using Biometra thermal cycler (Serial no.2603204, Biometra, Germany). The PCR products, (Figure 1A), were 366-bp in size, using a 50-bp DNA ladder (Catalog No. 24072, iNtRON Biotechnology, Korea) and were digested at 37◦C for 3 hours using (FastDigest Alu1 FD0014, Lot: 00147479; Thermo Fisher Scientific), where 10 μL of the PCR reaction mixture added to 2 μL of 10X buffer, 2 μL of the restriction enzyme and mixed with 18 μL nuclease-free water, then loaded in gel electrophoresis (serial no. 283BR11101, Bio-Rad-pac 300, Italy), using 2% agarose gel stained with 5μL ethidium bromide.
Figure 1

(A) Represents gel electrophoresis of the PCR products. Numbers refer to lanes. Lane 1 shows 50 bp DNA ladder. Lanes 2–6 showed amplified DNA segments of length 366 bp. (B) Represents detection of MIF rs755622 G>C SNP using PCR-RFLP method. Lane 1: 50 bp DNA ladder, Lane 2, 3, 11 represent wild genotypes (GG) with 268, 98 bp bands; Lane 4, 5, 6, 8, 9, 10 are heterozygous mutant (GC) genotypes with 268, 205, 98, 63 bp bands; Lane7: no template control “NTC”; Lane 12: undigested PCR product (366 bp). Homozygous mutant (CC) genotype with 205, 98, 63 bp bands could not be detected.

(A) Represents gel electrophoresis of the PCR products. Numbers refer to lanes. Lane 1 shows 50 bp DNA ladder. Lanes 2–6 showed amplified DNA segments of length 366 bp. (B) Represents detection of MIF rs755622 G>C SNP using PCR-RFLP method. Lane 1: 50 bp DNA ladder, Lane 2, 3, 11 represent wild genotypes (GG) with 268, 98 bp bands; Lane 4, 5, 6, 8, 9, 10 are heterozygous mutant (GC) genotypes with 268, 205, 98, 63 bp bands; Lane7: no template control “NTC”; Lane 12: undigested PCR product (366 bp). Homozygous mutant (CC) genotype with 205, 98, 63 bp bands could not be detected. A 50-bp DNA ladder was used to visualize DNA fragments under ultraviolet light (using U.V. Transilluminator 2000, serial no. 642-1045, Bio-Rad, Italy). The MIF restriction fragment lengths were two fragments for Wild genotype (GG) variant of 98 and 268 bp, 3 fragments of 205, 98, and 63 bp for homozygous (CC) mutant genotype, and 4 fragments of 268, 205, 98, and 63 bp for heterozygous (GC) mutant genotype (Figure 1B). A small percentage of the participants’ DNA samples (10%−15%) were picked at random and re-genotyped to ensure that the genotyping results were reproducible.

Statistical Analysis

SPSS version 19 was used for data entry and analysis (Statistical Package for Social Science). For parametric data, we used numbers, percentages, and mean standard deviation (SD), while for non-parametric data, we used median and inter-quartile range (IQR). To compare qualitative variables, the Chi-square test and Fisher exact test were used. The odds ratio (OR) was estimated using 95% confidence intervals (CI). When P ˂ 0.05, the P-value is considered statistically significant. The studied SNP followed the Hardy Weinberg (HW) equation.21,22 Hardy–Weinberg equilibrium was performed by the chi-square G test “Goodness of Fit” with 1 degree of freedom using website SNPs-Institut für Humangenetik, SNPs, Association studies, De Finetti, Hardy–Weinberg browser; .

Results

Demographic and Clinical Data of the Study Groups

The current study included 100 participants categorized into 50 patients with verruca vulgaris (16 males and 34 females) with their mean age of 26.96 years ±10.46 SD and 50 controls (24 males and 26 females) with their mean age 26.54 years ±10.07 SD. There were no significant differences between cases and controls regarding age and sex, indicating matching of the study groups (p˃0.05). Regarding the distribution of verruca vulgaris lesions in the included cases, the majority were in the extremities (96%). Fifty-six percent of patients have a single lesion and the remaining cases (44%) have multiple warts. The mean duration of the disease was 8.52 months±8.0 “SD”. Eighty-six percent of the included patients have primary lesions while the remaining 14% have recurrent lesions. Positive family history for the disease was present in 16% of the included cases.

Serum MIF Levels Among the Study Groups and Their Relation with Demographic and Clinical Data

Although there were lower median serum levels of MIF among patients with verruca vulgaris (20.97 μg/L) compared to the controls (22.3 μg/L), not reach a significant difference (p˃0.05) (Table 1 and Figure 2). There was a lack of significant difference in the median MIF serum levels among the included cases in terms of gender, number of lesions, or recurrence, p˃0.05 for all (Table 2).
Table 1

The Median Serum MIF Levels in the Study Groups

VariablesCases (n = 50)Controls (n=50)P. value
Serum MIF (μg/L)20.97 (10.07–29.6)22.3 (5.3–23.2)0.836
Median (IQR)

Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor.

Figure 2

Serum MIF levels among patients with verruca vulgaris and the controls.

Table 2

Median Serum Levels Among Patients with Verruca Vulgaris in Terms of Demographic and Clinical Data of the Included Cases

Cases (n = 50)Serum MIF (μg/L)p. value
Median (IQR)
Sex
 ● Males22.2 (20.1–29.5)0.261
 ● Females20.2 (5.0–29.5)
Number
 ● Single20.1 (12.2–28.9)0.531
 ● Multiple21.95 (5.2–29.6)
Recurrence
 ● Primary21.2 (18.4–31.1)0.193
 ● Recurrent8.9 (5.0–29.4)

Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor.

The Median Serum MIF Levels in the Study Groups Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor. Median Serum Levels Among Patients with Verruca Vulgaris in Terms of Demographic and Clinical Data of the Included Cases Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor. Serum MIF levels among patients with verruca vulgaris and the controls.

Western Blot and Immunohistochemical Analysis of MIF Expression in the Skin Tissues of the Studied Groups

Local expression of tissue MIF using Western blot revealed significantly lower MIF expression in both lesional and perilesional skin biopsies compared to the controls with a lack of significant difference in MIF expression between lesional and perilesional biopsies (Figure 3). Using the immunohistochemical technique, analysis of MIF expression in biopsies of control subjects revealed that intense MIF immunostaining was observed in cells of the basal and granular layers of the epidermis (Figure 4A and B, arrows), capillary endothelial cells of papillary dermis (Figure 4A, arrowheads) and skin appendages (Figure 4B, double headed arrows). In contrast, biopsies from perilesional regions showed marked decrease in MIF immunostaining in the epidermis (Figure 4C and D, arrows), capillaries endothelial cells (Figure 4C, arrowheads) and skin appendages (Figure 4C, double headed arrow). Similarly, biopsies from lesional regions exhibit weak MIF immunostaining in the epidermis (Figure 4E and F, arrows), capillaries endothelial cells (Figure 4E, arrowheads) and skin appendages (Figure 4E, double headed arrow). To confirm our observations, we assessed the area percent of MIF immunostaining using ImageJ software. We found that the area percent of MIF immunostaining was 17.80±1.729% in control group and 5.524±3.022% and 6.295±2.230% in perilesional and lesional groups, respectively. The area percent of MIF immunostaining was significantly lower in skin biopsies from perilesional and lesional regions compared to biopsies taken from control subjects (P < 0.05) (Figure 5).
Figure 3

Lesional and perilesional expression of macrophage migration inhibitory factors in patients with verruca vulgaris and control group using Western blotting technique. The panels on the right represent the corresponding quantification of each analysis as measured by ImageJ software and expressed as the relative band density to that of β-actin. The level of significance was accepted as p<0.05, and all relevant results are graphically displayed as the mean±SD (n = 3), showing lower MIF expression in both lesional and perilesional verruca vulgaris skin biopsies compared to the controls with lack of significant difference in MIF expression between lesional and perilesional verruca vulgaris skin biopsies. *indicate significant change from the controls at p < 0.05.

Figure 4

Representative photomicrographs of skin biopsies immunostained for MIF (A and B) sections of normal skin biopsies showing high level of MIF immunostaining in cells of basal and granular layers of the epidermis (arrows), capillary endothelial cells (arrowheads) and ducts of sweat glands (double headed arrows). Low MIF expressions were encountered in the epidermis (arrows), capillary endothelial cells (arrowheads) and ducts of sweat glands (double headed arrow) of perilesional (C and D) and lesional (E and F) skin biopsies. Scale bars = 100 µm.

Figure 5

Graphical representation of the area percent of MIF immunostaining assessed by Image J. MIF signaling was significantly lower in skin biopsies taken from the perilesional and lesional areas than those of control subjects. Data expressed as Mean±SD. ***Indicates significance versus control group (P < 0.05).

Lesional and perilesional expression of macrophage migration inhibitory factors in patients with verruca vulgaris and control group using Western blotting technique. The panels on the right represent the corresponding quantification of each analysis as measured by ImageJ software and expressed as the relative band density to that of β-actin. The level of significance was accepted as p<0.05, and all relevant results are graphically displayed as the mean±SD (n = 3), showing lower MIF expression in both lesional and perilesional verruca vulgaris skin biopsies compared to the controls with lack of significant difference in MIF expression between lesional and perilesional verruca vulgaris skin biopsies. *indicate significant change from the controls at p < 0.05. Representative photomicrographs of skin biopsies immunostained for MIF (A and B) sections of normal skin biopsies showing high level of MIF immunostaining in cells of basal and granular layers of the epidermis (arrows), capillary endothelial cells (arrowheads) and ducts of sweat glands (double headed arrows). Low MIF expressions were encountered in the epidermis (arrows), capillary endothelial cells (arrowheads) and ducts of sweat glands (double headed arrow) of perilesional (C and D) and lesional (E and F) skin biopsies. Scale bars = 100 µm. Graphical representation of the area percent of MIF immunostaining assessed by Image J. MIF signaling was significantly lower in skin biopsies taken from the perilesional and lesional areas than those of control subjects. Data expressed as Mean±SD. ***Indicates significance versus control group (P < 0.05).

Genotypes and Allele Frequencies of MIF-173 G˃C (rs755622) SNP in the Study Groups and Its Relation with Serum MIF Levels

There were significantly higher GG (wild homozygous) genotypes among patients with verruca vulgaris (62%) compared to the controls (42%) and significantly lower frequency of GC (heterozygous mutant) genotype among cases (38%) compared to the controls (58%) indicating that GC genotype of the studied MIF rs755622 G>C SNP is a protective factor against the occurrence of verruca vulgaris among Egyptians with OR (95% CI) equal 0.444 (0.199–0.989). CC genotype (mutant homozygous) could not be detected in our study groups. Although G-allele was more frequent among cases (81%) than controls (71%) and C-allele was more frequent among controls (29%) than cases (19%) but they did not reach significant levels (p = 0.098 for both) (Table 3). There was a lack of significant difference in the median MIF serum levels among the included cases in terms of genotypes and alleles of the studied MIF rs755622 G>C SNP (Table 4).
Table 3

MIF rs755622 G>C Genotypes and Allele Frequencies Among the Studied Groups

Study GroupsVariables
MIF rs755622 G>C GenotypesP value for Deviation from Hardy–Weinberg EquilibriumMIF rs755622 G>C Alleles
CCGCGGCG
No.%No.%No.%No.%No.%
Cases (n = 50)--1938.03162.00.0971919.08181.0
Controls (n = 50)--2958.02142.02929.07171.0
P-value (χ2)0.045* (4.006)0.098 (2.741)
OR (95% CI)0.444 (0.199–0.989)

Note: *Significant p value (p ˂ 0.05).

Abbreviations: MIF, macrophage migration inhibitory factor; OR, odds ratio; CI, confidence intervals; χ2, chi square.

Table 4

Median Serum MIF Levels Among Patients with Verruca Vulgaris in Terms of MIF rs755622 G>C Genotypes and Alleles

MIF rs755622 G>C Genotypes and Alleles Among Cases (n = 50)Serum MIF (μg/L)P. value
Median (IQR)
GC (n = 19)20.6 (5.3–29.4)0.697
GG (n = 31)21.2 (10.1–30.1)
C- allele (n = 19)20.6 (5.3–29.4)0.732
G-allele (n = 81)21.2 (10.1–29.7)

Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor.

MIF rs755622 G>C Genotypes and Allele Frequencies Among the Studied Groups Note: *Significant p value (p ˂ 0.05). Abbreviations: MIF, macrophage migration inhibitory factor; OR, odds ratio; CI, confidence intervals; χ2, chi square. Median Serum MIF Levels Among Patients with Verruca Vulgaris in Terms of MIF rs755622 G>C Genotypes and Alleles Abbreviations: IQR, inter-quartile range; MIF, macrophage migration inhibitory factor.

Genotypes and Allele Frequencies of MIF-173 G˃C (rs755622) SNP in Terms of Verruca Vulgaris Characteristics

There was a lack of significant differences in the genotypes and allele frequencies of MIF rs755622 G>C among cases with single verruca vulgaris lesion compared to those who have multiple lesions (p˃0.05), with significantly frequent (GC) genotype among cases with the recurrent disease while GG genotype and G-allele were significantly frequent among cases with primary disease (p˂0.05 for all) (Table 5).
Table 5

MIF rs755622 G>C Genotypes and Alleles Frequencies in Terms of the Veruuca Vulgaris Lesions’ Characteristics

MIF rs755622 G>C Genotypes and Alleles Among Cases (n = 50)SingleMultipleP. value
GC9 (32.1%)10 (45.5%)0.336
GG19 (67.9%)12 (54.5%)
C- allele9 (16.1%)10 (22.7%)0.558
G-allele47 (83.9%)34 (77.3%)
MIF rs755622 G>C Genotypes and Alleles Among Cases (n = 50)PrimaryRecurrentP. value
GC13 (30.2%)6 (85.7%)0.005*
GG30 (69.8%)1 (14.3%)
C- allele13 (15.1%)6 (42.9%)0.037*
G-allele73 (84.9%)8 (57.1%)

Note: *Significant p value (p ˂ 0.05).

Abbreviation: MIF, macrophage migration inhibitory factor.

MIF rs755622 G>C Genotypes and Alleles Frequencies in Terms of the Veruuca Vulgaris Lesions’ Characteristics Note: *Significant p value (p ˂ 0.05). Abbreviation: MIF, macrophage migration inhibitory factor.

Discussion

In the eradication of warts, cell-mediated immunity (CMI) plays an important role. Patients with human immunodeficiency virus (HIV) infection have shown a link between cellular immunological deficiencies and HPV infection and related morbidities.23 MIF is widely expressed in different tissues, including the skin, and is thought to play a significant role in cell-mediated immunity. It is recognised to play a key function in the skin when it comes to inflammation, immunological response, wound healing, and skin disease.24,25 MIF has been named as “an incriminating agent in dermatological disorders”.26 Limited research, however, has looked into its function in the pathophysiology of dermatological disorders.27 MIF has been thought to play a key function as a proinflammatory cytokine since its discovery; however, MIF is now thought to modulate the inflammatory “set point” by controlling the release of other pro-inflammatory mediators.28 Glucocorticoids enhanced rather than suppressed MIF production, and this mechanism regulates inflammatory and immunological responses.29,30 Our findings revealed significantly lower MIF expression levels in lesional and perilesional skin biopsies among patients with verruca vulgaris compared to healthy controls (using Western blot and immunohistochemistry techniques), with no significant differences in expression levels between lesional and perilesional skin biopsies within the patients’ group. Our immunohistochemical analysis revealed high MIF expression in the basal and granular layers of the epidermis of normal subjects. This observation was in line with Brocks et al.31 In contrast, perilesional and lesional skin biopsies showed marked reduction of MIF expression in the epidermis. Studies have linked MIF expression with epidermal Langerhans cell migration and T-lymphocytes proliferative responses during pathological skin conditions.32 Interestingly, Coleman et al have associated wart regression with T lymphocytes and macrophage infiltration.33 On the other hand, defective cell-mediate immunity has been linked with non-regressing wart.33 Taken together, suppression of MIF expression in verruca vulgaris, we observed here, could be through a paracrine signal from the wart virus and/or virus-infected cells. Furthermore, when healthy controls were compared to patients with common warts, we found greater median values of circulating MIF, though not to a significant level. In line with our findings, El-Hamd et al14 reported significantly lower serum MIF levels among cases with common warts, using ELISA assays. On the contrary, Sorour et al15 reported significantly higher MIF levels in lesional and perilesional skin biopsies from patients with verruca vulgaris compared to the controls using ELISA assays. Although, because tissue homogenate samples vary in their protein content, ELISA assays of any tissue protein marker should be divided by the total protein content of every sample to obtain correct marker assays, this was not done in the cited study. A recent study by Nassar et al34 supported our findings and reported low serum MIF levels using ELISA method, at base line with significant rise in the MIF levels two weeks after the last session of intralesional Candida antigen injection of common warts among responders to this type of therapy. They supposed the upregulation of MIF after immunotherapy confirms its essential role in antigen presentation, stimulation of delayed type hypersensitivity (which represent the major part in immunity against intracellular pathogen) and release of Th1 cytokines. Macrophage migration inhibitory factor modulates lymphocyte trafficking and inhibits regulatory effects on cytotoxic CD8+ T cells.35 MIF was found to play a role in the recovery of hepatic cells infected with HSV-2 in a mice model.36 MIF levels are high in viral infections such as the influenza virus and the human immunodeficiency virus, in addition to bacterial infection.37,38 An efficient immune response eliminates the majority of HPV infections. HPV is very unique and full of mystery. Failure to remove HPVs encourages the growth of warts, which is mostly due to HPV’s ability to evade the body’s immune defence system. This process also includes a number of inflammatory reactions that have only recently been discovered. Pro-inflammatory cytokines and tumour necrosis factor are significant mediators of skin and mucosal inflammation development. Epidermal cells have been shown to release cytokines in response to a variety of stimuli, including viral infection.39–41 T cells and macrophages activated by MIF release proinflammatory cytokines such as tumour necrosis factor (TNF-α), interleukins (IL-1β, IL-2, IL-6, IL-8) and interferon (IFN-γ), which result in inflammatory responses. As a result, MIF influences both the innate and adaptive immune responses.30 In our study, we found no significant variations in MIF serum levels in terms of sex, lesion distribution, or disease recurrence. This was in agreement with Sorour et al15 who reported similar findings. Analyzing polymorphisms in the MIF gene’s promoter region [MIF 173 G˃C (rs755622)] is a significant determinant of disease risk factors, and it could lead to better prevention and treatment options. On chromosome 22q11.2, the human MIF gene is located. A functional variation in MIF’s 5’ promoter region, which replaces G with C at position −173, appears to impact promoter activity in a cell-type dependent manner.42,43 As far as we know, this is the first study that assesses the possible association of MIF-173 G˃C single nucleotide gene polymorphism with the risk of development and recurrence of verruca vulgaris. Our results showed significantly high frequency of wild homozygous (GG) genotype with significantly lower frequency of heterozygous mutant (GC) genotype among Egyptian patients with common warts, thus GC could be considered as a protective genetic factor against the development of verruca vulgaris with OR (95% CI) equal 0.444 (0.199–0.989). Additionally, there was a significantly frequent (GC) genotype among cases with recurrent common warts, which means that (GG) genotype is frequently occurring among patients with verruca vulgaris, but patients having (GC) are more liable to recurrent affection. Of course, these findings are required to be confirmed using larger-scale studies.

Conclusion

The current research supports the possible role of MIF in the pathogenesis of verruca vulgaris as evidenced by the significant reduction of its expression in those patients. Moreover, the genetic variants of MIF (rs755622) were significantly associated with the disease occurrence and recurrence.

Study’s Limitations

The small sample size was the main study limitation; therefore, the current findings, particularly the MIF-173 G˃C single nucleotide polymorphism, which is the first study to identify its likely role in verruca vulgaris, would need to be validated in larger scale studies.
  43 in total

Review 1.  Cell-mediated immune response to human papillomavirus infection.

Authors:  M Scott; M Nakagawa; A B Moscicki
Journal:  Clin Diagn Lab Immunol       Date:  2001-03

2.  A clarification of the Hardy-Weinberg law.

Authors:  Alan E Stark
Journal:  Genetics       Date:  2006-05-15       Impact factor: 4.562

3.  Macrophage migration inhibition as a correlate of cell-mediated immunity to herpes simplex virus type 2 in mice.

Authors:  S C Mogensen
Journal:  Immunobiology       Date:  1982       Impact factor: 3.144

4.  Functional polymorphisms in the gene encoding macrophage migration inhibitory factor (MIF) are associated with active pulmonary tuberculosis.

Authors:  Shou-Gang Kuai; Qin-Fang Ou; De-Hong You; Zhong-Bo Shang; Jun Wang; Jun Liu; Xi-Ke Zhou; Hao Pei; Li-Hua Huang
Journal:  Infect Dis (Lond)       Date:  2015-11-06

Review 5.  HPV infection: immunological aspects and their utility in future therapy.

Authors:  Efthimios Deligeoroglou; Aikaterini Giannouli; Nikolaos Athanasopoulos; Vasileios Karountzos; Anastasia Vatopoulou; Konstantinos Dimopoulos; George Creatsas
Journal:  Infect Dis Obstet Gynecol       Date:  2013-08-20

6.  Survivin as a Novel Biomarker in the Pathogenesis of Acne Vulgaris and Its Correlation to Insulin-Like Growth Factor-I.

Authors:  Hanan A Assaf; Wafaa M Abdel-Maged; Bakheet E M Elsadek; Mohammed H Hassan; Mohamed A Adly; Soher A Ali
Journal:  Dis Markers       Date:  2016-10-10       Impact factor: 3.434

7.  Functional variants in the promoter region of macrophage migration inhibitory factor rs755622 gene (MIF G173C) among patients with heart failure: Association with echocardiographic indices and disease severity.

Authors:  Reham I El-Mahdy; Tahia H Saleem; Osman M Essam; Magdy Algowhary
Journal:  Heart Lung       Date:  2020-08-12       Impact factor: 2.210

8.  Mannose binding lectin and macrophage migration inhibitory factor gene polymorphisms in Turkish children with cardiomyopathy: no association with MBL2 codon 54 A/B genotype, but an association between MIF -173 CC genotype.

Authors:  Nilgun Col-Araz; Sibel Oguzkan-Balci; Osman Baspinar; Tugce Sever; Ayse Balat; Sacide Pehlivan
Journal:  Int J Med Sci       Date:  2012-08-22       Impact factor: 3.738

Review 9.  Skin Viral Infections: Host Antiviral Innate Immunity and Viral Immune Evasion.

Authors:  Vivian Lei; Amy J Petty; Amber R Atwater; Sarah A Wolfe; Amanda S MacLeod
Journal:  Front Immunol       Date:  2020-11-06       Impact factor: 7.561

Review 10.  Interleukin-17-A multifaceted cytokine in viral infections.

Authors:  Utkarsha Sahu; Debasis Biswas; Vijay Kumar Prajapati; Anirudh K Singh; Mukesh Samant; Prashant Khare
Journal:  J Cell Physiol       Date:  2021-06-16       Impact factor: 6.513

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