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Balkan Medical Journal logoLink to Balkan Medical Journal
. 2016 Mar 1;33(2):188–192. doi: 10.5152/balkanmedj.2016.16190

Oxidative Stress Biomarkers and Adenosine Deaminase over the Alopecic Area of the Patients with Alopecia Areata

Perihan Öztürk 1,, Özer Arıcan 2, Ergül Belge Kurutaş 3, Kamil Mülayim 1
PMCID: PMC4924963  PMID: 27403388

Abstract

Background:

Alopecia areata (AA) is an autoimmune, T-cell mediated, and chronic inflammatory disorder. The pathological mechanisms of disease are unclear, but oxidative stress may be involved. To our knowledge, no studies have examined the oxidative stress levels or biomarkers within the lesional area and skin surface in patients with AA. Similarly, adenosine deaminase (ADA) has not been characterized in AA.

Aims:

Therefore, we aimed to define ADA levels and the factors involved in oxidative stress from scalp-scrapes of patients with AA.

Study Design:

Case-control study.

Method:

A total of 60 patients (30 diagnosed AA patients and 30 healthy controls) were included in the study. ADA as well as oxidative stress factors, including malondialdehyde (MDA), reduced glutathione (GSH), superoxide dismutase (SOD) and catalase (CAT) were analyzed from scalp-scrapes in both groups and quantified by spectrophotometry.

Results:

Activities of SOD (p=0.000), CAT (p=0.033), and ADA (p=0.004) as well as levels of GSH (p=0.000) and MDA (p=0.032) in patients with AA were higher than the controls statistically significant.

Conclusion:

Based on these results, factors associated with oxidative stress were elevated in AA patient scalp-scrapes compared to controls and may have a defined role the disease pathogenesis. Alterations in the activities of antioxidant enzymes from AA patient scraping samples may be a local effect of elevated oxidative stress levels. In this disease, oxidative stress may affect not only hair follicle but also any layers of the skin.

Keywords: Adenosine deaminase, alopecia areata, antioxidant, oxidative stress


Alopecia areata (AA) is a typical autoimmune and persistent T-cell mediated inflammatory disorder of the hair and nails. Patients with AA often develop smooth discrete areas of complete non-scarring hair loss. It occurs in either sex and at any age (1). Approximately 1.7% of the population will experience an episode of AA during their lifetime (1,2). The etiopathogenesis of the disease is still poorly understood; and therefore, no effective treatments are available. Because of this, the disease may adversely affect the quality of life of the patients (3).

In normal aerobic cells there is a present balance between antioxidant protection and oxidative damage. Reactive oxygen species (ROS) cause oxidative stress due to the loss of antioxidant protection or excess production (48). Several factors that contribute to oxidative stress, including superoxide dismutase (SOD), catalase (CAT), and reduced glutathione (GSH) closely linked to various oxidative stress responses (9). In addition, malondialdehyde (MDA), the end product of lipid peroxidation, is also an indicator of oxidative stress (10). Adenosine deaminase (ADA) is noted a marker of T-cell activation (11).

There are a few studies demonstrating an association between the oxidative stress in serum and biopsy samples in AA (10,1215). However, there is no data about the oxidative stress of the skin surface on the lesional area of patients with AA in the literature. Additionally, the role of ADA as a marker for AA has not been examined. New knowledge on the local antioxidant system and ADA activities in AA may help to understand the pathogenesis of the disease and its treatment modalities. Examination of AA patient scalp-scrapes for oxidative stress factors is discussed.

MATERIALS AND METHODS

The study was granted by the university ethics committee and each subject signed an informed consent form prior to initiation of the study. Thirty diagnosed AA patients and 30 healthy controls were included in the study. After informed consent was received, scalp scrape samples were obtained from AA patients and normal controls. The data collection was performed for six months (from April to September 2011). For consistency, the AA diagnosis was was made by the same dermatologist, which is based onthe National Alopecia Areata Foundation guidelines. Further confirmation of the diagnosis was determined by laboratory and histology investigations. Patients that had hair loss due to other causes such as concurrently patterned baldness were not included in the study. Patients of either sex, older than 10 years of age, and patients with up to two alopecic plaques were enrolled at a single hospital. Patients that had disease duration of more than three months, previously treated patients for AA or totalis, universalis, and/or ophiasis types were not included. In addition, patients with a BMI in the ‘obese’ range were also exluded. The patients that were enrolled in the study did not have: (1) a medical history of topical and/or systemic drug treatment; (2) administration of anti-inflammatory drugs and vitamins (in the last three months); and (3) any another concurrent systemic and/or cutaneous diseases. Neither the AA patients nor the controls had any symptoms of mental and/or physical from zinc deficiency. None of the patients and controls had alcohol abuse problems and smoking. None of the females enrolled were expecting or lactating. Scalp-scrape samples were collected with a scalpel blade (until bleeding) from the alopecic skin regions in the AA patients and from any scalp region of the controls using the same dermatologist. Scalp-scrapes were aliquotted and stored (−80°C) for later determination of the factors associated with oxidative stress, including the activity of SOD, CAT, and ADA, as well asexpression of GSH, and MDA.

Laboratory and biochemical assays

Scalp-scrape preparation and homogenates

Scalp-scrapings were prepared by homogenization in 1.15% ice-cold potassium chloride as previously described. Briefly, supernatants were subjected to centrifugation at 14,000 rpm for 30 min at +4°C. Quantification of total protein levels for each homogenate was done using the Lowry method (16).

ADA activity

Adenosine deaminase activity was quantified using a method determined by Beutler (17). The assay homogenate consisted of 20 µL of the scraping sample in 100 µL of a 1M Tris/EDTA (5 mM) buffer (pH 8.0) and 20 µL of 4 mM adenosine (freshly prepared) in a total volume of 1 mL. Samples were examined for enzyme activity using a photospectometer to measure absorbance at 265 nm and expressed as U/mg protein.

CAT activity

Catalase activities were measured by quantifying the reduction of hydrogen peroxide (H2O2) (230 nm) (17). The assay was performed in a 1 M Tris buffer (pH 7) containing 5 mM EDTA, 1 M phosphate, and 10 mM H2O2. Units for cat activity were expressed as U/mg protein.

SOD activity

Superoxide dismutase activity was determined as previously described (18). The assay buffer was made up of 10mM phosphate, 50 mM CAPS (3-cyclohexilamino-1- propanesulfonicacid), 940 µM EDTA and saturated NaOH (pH 10.2). Before the assay, the substrate [50 µM xanthine, 0.025 mM INT (p-iodonitrotetrazolium violet)] and 80 U/L xanthine oxidase was added to the assay and measured at 505 nm (SOD activity was recorded as U/mg protein.

Determination of GSH and MDA levels

Glutathione was measured using a reduction reaction at room temperature, where DTNB (5, 5′-Dithiobis (2-nitrobenzoic acid)) reacts with non-protein sulfhydryl compounds as previously described (17). The reduction of non-protein sulfhydryls were measured within the first 10 minutes at a wavelength of 412 nm. GSH levels were recorded as µmol/mg protein.

Malondialdehyde levels were determined by quantifying thelipid peroxidation levels from scalp-scrapes using a method by Ohkawa. (19). The reaction mixture consisted of 100 µL of scalp-scrape, 8.1% SDS (0.2 mL), 20% acetic acid and 0.8% thiobarbituric acid (TBA) (1.5 mL each). The assay medium was titrated to a pH 3.5 and the total volume adjusted to 4.0 mL with distilled water. Finally, 5.0 mL of n-butanol and pyridine (15:1, vol/vol) were added and forcefully agitated. Following centrifugation (4,000 rpm for 10 min), the organic layer was collected and absorbance was measured at a wavelength of 532 nm. MDA was recorded as nmol/mg protein.

Statistical analysis

Sample size was determined by a power analysis (power=0.99, α=0.05). Statistics was done using SPSS 17.0 for Windows (SPSS Inc; IL, Chicago, USA). The conformability to the normal distribution was investigated by One sample Kolmogorov– Smirnov test. Since gender and age were of normal distribution, data was recorded as mean±standard deviation (SD). An unpaired student’s t-test was performed for between group comparisons of the average. Since MDA levels did not have a normal distribution, a Mann–Whitney U-test was implemented. The data was presented as median, minimum, and maximum. Statistical significance was determined if the p-value was less than 0.05.

RESULTS

The AA patient group (n=30) included seventeen males and thirteen females [mean age=25.7±8.5 years (range; 10–40, median; 25 years]. The control subjects (n=30) was evenly matched and consisted of sixteen males and fourteen females [mean age=26.6±6.8 years (range; 17–43, median; 25 years]. The mean duration of AA was 1.83±0.48 months (range; 1–3 months). There was a single plaque in 11 patients and two plaques in 19 patients. There were no nail findings in any of the patients tested. No statistically significant difference was observed for age and gender (p=0.65). The activities of SOD, CAT and ADA and the levels of MDA and GSH are shown in Table 1. All activities and levels determined from the AA patients were statistically elevated compared to controls. The results also are graphically presented in Figure 1. No statistically significant difference was observed in the AA patients with one or two lesions (p=0.78).

TABLE 1.

The Demographic values and the activities of CAT, SOD, and ADA as well as GSH and MDA levels from scalp-scrapes of patients with alopecia areata and controls

Parameters Patients
Mean±SD (Med, Min–Max)
Controls
Mean±SD (Med, Min–Max)
p value
Age (years) 25.7±8.5 (25, 10–40) 26.6±6.8 (25, 17–43) 0.65
Gender (n) F/M 17/13 16/14 0.65
CAT 2.74±0.95 (2.69, 1.07–4.79) 1.68±0.70 (1.46, 0.87–3.61) 0.033*
SOD 8.78±3.11 (8.77, 4.56–16.02) 5.46±2.08 (5.16, 2.00–9.45) 0.000*
GSH 0.24±0.06 (0.25, 0.13–0.34) 0.16±0.05 (0.16, 0.09–0.29) 0.000*
MDA 117.80±62.20 (103.61, 7.92–325.89) 83.94±27.33 (80.00, 53.20–175.96) 0.032**
ADA 1.99±0.66 (2.06, 0.57–3.12) 1.07±0.76 (0.97, 0.21–2.64) 0.004*

CAT: catalase; SOD: superoxide dismutase; GSH: reduced glutathione; MDA: malondialdehyde; ADA: adenosine deaminase

CAT, SOD and ADA were expressed as U/mg protein, MDA was expressed as nmol/mg protein and GSH was expressed as micromol/mg protein.

*

Student t test,

**

Mann Whitney-U Test.

FIG. 1.

FIG. 1.

Oxidative stress biomarkers and ADA in scraping samples of with alopecia areata and control subjects

(CAT: catalase; SOD: superoxide dismutase; GSH: reduced glutathione; ADA: adenosine deaminase; MDA: malondialdehyde)

DISCUSSION

In the current report, we demonstrated significantly elevated activities of CAT, SOD, and ADA, as well as increased GSH and MDA in the lesions of patients with AA compared to the scalp of the control group. As described above, there are limited studies demonstrating correlation with oxidative stress and AA.

Alopecia areata is characterized by conspicuous changes in the capillaries of the dermal vasculature and the existence of epidermal and dermal inflammatory cells. AA is known to occur due to aberrant lymphokine secretion, eicosanoid metabolism, and fatty acid metabolism (12). Also, AA presents with infiltration of inflammatory cells that surround the hair follicle. This infiltrate commonly causes hair follicle destruction and abnormal keratinization (20). The intracellular production of ROS that leading to oxidative cellular damage is elevated by infiltrating inflammatory cells and also by synthesized cytokines. TNF-α stimulates intracellular production of mitochondrial ROS. An impaired cellular antioxidant defense mechanism can induce aberrant lipid peroxidation in cellular membrane (21).

The increased activity of ADA found in our work may be gauge of inflammatory cell activation in AA patients. The origin of this activity may be due to the increased infiltration of T-lymphocytes in the lesions of these patients. Increased ADA activity may be involved in hyperproliferation and differentiation of lymphocytes (where it has high activity). It is also thought that in AA, deranged immunity may also originate from cellular cytotoxic responses that have control over T-lymphocyte function. Such non-specific cellular immune responses, described as one of the possible mechanisms responsible for the production of lymphocytotoxins, were observed earlier in autoimmune diseases where elevated ADA levels have also been detected (2123). Indeed, AA also can be associated with autoimmune diseases (24). According to our literature investigation, ADA has not been studied in AA until now. Our study of ADA activity in AA individuals is the first of its kind to be described in an immunological context. We put forth the notion that increased ADA may have the activation criteria to drive the cell-mediated immunity in the pathophysiology of AA.

Glutathione is the foremost non-enzymatic antioxidant found in cells. It binds and acts as a substrate for GSH peroxidase and scavenges ROS. Elevated intracelluar GSH levels may have a critical role in protecting cells from oxidative stress and maintaining the immune system in AA. Our results for GSH are similar to Akar et al. (13). However, Naziroglu and Kokcam (12) observed that levels of GSH and glutathione peroxidase in both plasma and erythrocytes were statistically reduced in AA patients compared to a control group. We believe that the levels of GSH in patients with AA may be another important link between the immunity and the oxidative stress. Because of the controversial results in the studies, new and detailed studies should be planned in the peripheral blood and the lesional area of patients with AA in the future.

The SOD-CAT system is key for antioxidant defense. SOD is localized to the cytoplasm and generates H2O2. In addition, SOD provides protection from the cytotoxic effects of superoxide radicals. However, CAT destroys H2O2, generating water and oxygen. It reported that otoimmune disorders like patients with PV have significantly higher antioxidant enzyme activities (25). Our study demonstrated an increase in SOD and CAT activities. This is most likely a defense mechanism to regulate the excessive oxidative stress. Our findings indicate that increased SOD and CAT activities may not be enough to regulate the superoxide radical production, since other radicals may be produced and not readily broken down by SOD and CAT. Our results for SOD were similar to Akar et al.(13) in contrast to the other studies (10,14). However, the activity of CAT in patients with AA was not measured in all of the three studies. The discrepancies observed in the results may be an effect of the different laboratory techniques used, different samples (such as serum or tissue) analyzed, different inclusion/exclusion criteria for selection of the cohorts, or a compensatory mechanism of the body.

Furthermore, we found that MDA levels increased about two-fold in AA compare to the healthy controls. Consistent with this, MDA levels from the serum or the tissue of AA patients were elevated in all previous studies similar to Behcet’s Disease (10,1214,26). Indeed, MDA is proportional to the degree of lipid peroxidation and is a gold standard for evaluating oxidative stress (20). Based on this, lipid peroxidation may be heavily involved in the pathobiology of AA.

In conclusion, our results indicate that oxidative damage is prominent in AA and may have a role in its pathogenesis. The altered antioxidant enzyme activities from the patient scalp-scrapes may be local response to the elevated oxidative damage. In this disease, oxidative stress may affect, not only hair follicle, but also any/all layers of the skin.

Study limitations

A few limitations were noted in the present report. The patient sample size was a small and a larger population would be necessary to validate our findings. The extent of the disease was less than three months. Severe and generalized forms of AA were not included in our study. Furthermore, the prognosis of the disease also was not observed in this study.

Footnotes

Ethics Committee Approval: Ethics committee approval was received for this study from the ethics committee of Kahramanmaraş Sütçüimam University.

Informed Consent: Written informed consent was obtained from patients who participated in this study.

Peer-review: Externally peer-reviewed.

Author contributions: Concept - P.Ö., Ö.A.; Design - P.Ö.; Supervision - E.K., P.Ö.; Resource - P.Ö.; Materials - K.M.; Data Collection and/or Processing - P.Ö., Ö.A.; Analysis and/or Interpretation - P.Ö.; Literature Search - P.Ö.; Writing - P.Ö., Ö.A.; Critical Reviews - Ö.A.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study has received no financial support.

REFERENCES


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