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Severity of oxidative stress as a hallmark in COVID-19 patients

European Journal of Medical Research volume 28, Article number: 558 (2023) Cite this article

Abstract

Introduction

Understanding the mechanisms and identifying effective treatments for the COVID-19 outbreak are imperative. Therefore, this study aimed to assess the antioxidant status and oxidative stress parameters as potential pivotal mechanisms in asymptomatic, non-severe, and severe COVID-19 patients.

Methods

This study is a case–control study that was performed on patients referred to the Persian Gulf Martyrs Hospital of Bushehr University of Medical Sciences, Bushehr, Iran, from May 2021 to September 2021. A total of 600 COVID-19 patients (non-severe and severe group) and 150 healthy volunteers of the same age and sex were selected during the same period. On the first day of hospitalization, 10 ml of venous blood was taken from subjects. Then, hematological, biochemical, serological, antioxidant and oxidative stress parameters were determined.

Results

Our results indicated that ESR, CRP, AST, ALT, and LDH significantly augmented in the severe group as compared to the non-severe and normal groups (P ≤ 0.05). It was observed that the levels of FRAP, G6PD activity, and SOD activity significantly reduced in the non-severe patients in comparison with the severe and normal groups (P ≤ 0.05). We found that MDA content and NO metabolite markedly increased in severe patients as compared to the non-severe group.

Conclusions

Taken together, it seems that the balance between antioxidants and oxidants was disturbed in COVID-19 patients in favor of oxidant markers. In addition, this situation caused more aggravation in severe patients as compared to the non-severe group.

Introduction

The coronavirus, as one of the most important pathogens, targets the respiratory system [1]. Prevalence of previous coronaviruses such as SARS (SARS) and Middle East respiratory syndrome (MERS) have been identified as an important health threats in recent years [2]. At the end of 2019, a new virus from this family was identified in Wuhan, China [3]. COVID-19 can damage organs, such as the lung, heart, liver, kidneys, immune system, and blood. It is necessary to pay attention to possible multi-organ damage and its protection and prevention [4].

COVID-19 can not only cause pneumonia but can also damage other organs, such as the heart, liver, kidneys, immune system, and blood. Patients eventually die from multiple organ failure, shock, acute respiratory distress syndrome, heart failure, arrhythmia, and renal failure. Therefore, it is necessary to pay attention to possible multi-organ damage and its protection and prevention in the treatment of this disease [5].

Oxidative stress is found in many chronic diseases, such as diabetes, cancer, coronary heart disease, etc., and some infections [6]. Excessive production of reactive oxygen and nitrogen species (ROS and RNS) through oxidation and nitrification of various biological targets within the cell causes inflammation and exacerbates the disease process, resulting in damage to various organs [7].

In a healthy cell, there is a good balance between pro oxidants and antioxidants. With an increase in pro-oxidants or a decrease in antioxidants, oxidative stress occurs, which, if prolonged, can cause serious cell damage. Excessive formation of reactive oxygen species (ROS) can induce oxidative stress and lead to cell damage that can lead to cell death [8]. The body contains a complex antioxidant defense network that relies on endogenous and non-enzymatic enzymatic antioxidants. Important non-enzymatic sources of antioxidants include vitamins A, C, and E, and compounds, such as beta-carotene, and metabolites, such as glutathione [9]. Antioxidant enzymes also play an important role; the most important of these enzymes are catalase (CAT), glutathione reductase (GR), glutathione peroxidase (GPx), and superoxide dismutase (SOD) [10]. As mentioned, an imbalance between free radicals (oxidants) and antioxidant systems causes oxidative stress. The cell can tolerate mild oxidative stress, but in more severe cases, the cell membrane is damaged, and subsequent pathological complications such as lipid peroxidation occur [11]. Reactive oxygen species (ROS) can interact with cellular components, such as lipids, proteins, and DNA through certain reactions [12]. Among these molecules, lipid peroxidation is more harmful, because the formation of lipid peroxidation products directly promotes free radical reactions. Excessive oxidation of lipids alters the physical properties of cell membranes and can cause covalent changes in proteins and nucleic acids [13, 14]. The most common of these changes are the oxidation of thiol proteins and the formation of carbonyl proteins, which occur mainly on the amino acids cysteine and methionine. Oxidative changes in proteins can inhibit the binding of the substrate, the quality of the activity of enzymes, and also reduce their activity [15].

Some articles have suggested that oxidative stress may play an important role in activating acute inflammation during SARS-CoV-2 infection. Respiratory viral infections are generally associated with cytokine production, inflammation, cell death, and other pathophysiological processes that may be associated with redox imbalance or oxidative stress [16]. On the other hand, antioxidant molecules such as glutathione (GSH) [17], alpha lipoic acid (ALA) [18], N-acetylcysteine (NAC) [19], vitamin D [20], vitamin C [21], vitamin E [22], and some members of the vitamin B family [23, 24] play a key role in maintaining antioxidant balance and reducing oxidative damage caused by SARS-CoV-2 [6].

Current research on nucleated cells shows that G6PD is involved in an assortment of cellular processes through redox signaling. A close relationship has been shown between G6PD-derived NADPH and reactive species [25]. Our previous study suggested that the consumption of antioxidants such as polydatin may be effective in reducing oxidative stress and inflammation in patients with COVID-19 [26].

Since the outbreak of COVID-19, which has become a global epidemic, there is an urgent need to understand the mechanisms of this disease and thus identify effective treatments. Therefore, the purpose of the current study was to evaluate the antioxidant status (including GSH content and total plasma antioxidant capacity) and oxidative stress parameters (including malondialdehyde and nitric oxide) as possible key mechanisms in asymptomatic, non-severe, and severe COVID-19 patients.

Materials and methods

Patient selection

This study is a case–control study that was performed on patients referred to the Persian Gulf Martyrs Hospital of Bushehr University of Medical Sciences, Bushehr, Iran, from May 2021 to September 2021. A total of 600 COVID-19 patients who had been confirmed by a specialist physician using a real-time PCR test on nasopharyngeal samples or CT scans were included in the study. In addition, 150 healthy volunteers of the same age and sex were selected during the same period. Healthy subjects were confirmed to have no underlying disease. Individuals with a history of diabetes, hypertension, cancer, severe liver disease, renal insufficiency (GFR < 60 mL/min), any form of renal replacement therapy, pregnancy, or autoimmune disorders were excluded from both the control and patient groups. In addition, subjects were excluded from the study if they had a special diet or took antioxidant supplements, such as vitamin C, vitamin E, selenium, etc.

COVID-19 patients were divided into two groups based on clinical manifestations: the first group of patients had mild to moderate COVID-19 infection and symptoms, such as clinical or radiographic evidence of lower respiratory tract disease and oxygen saturation ≥ 94 (n = 300), and the second group of patients with severe COVID-19 infection and symptoms such as oxygen saturation < 94%, respiratory rate ≥ 30 breaths/min, and lung infiltration > 50% (n = 300) were selected. The protocol of this study was approved by Bushehr University of Medical Sciences with the code 9906113797 and the ethical code: IR.BPUMS.REC.1399.189. Conscious consent was obtained from all subjects before entering the study and performing the experiments.

Samples and data collection

Demographic information was recorded through interviews with participants. On the first day of hospitalization, 10 ml of venous blood was taken from subjects and added to tubes with EDTA anticoagulant and sodium citrate for routine hematology tests and tubes without anticoagulation to measure serological, biochemical, and oxidative stress parameters. Blood samples were centrifuged at 2500 rpm for 10 min, and serums were stored at −20 °C after separation to measure serological, biochemical, and oxidative stress analyses. After collecting the samples, CBC parameters were performed with an automatic hematological autoanalyzer and ESR was performed automatically with an ESR analyzer. Evaluation of biochemical and serological parameters was performed using standard kits (Pars Azmoun, Tehran, Iran) and a biochemical automatic analyzer Dirui CS-400 (Dirui, Changchun, China). The level of G6PD enzyme was determined using the Pars Azmoon kit and using the Biotecnica BT-3500 chemistry analyzer (Diamond Diagnostics, Holliston, MA, USA).

Measurement of oxidative stress markers

Measurement of malondialdehyde (MDA)

One of the indicators of lipid peroxidation is the evaluation of malondialdehyde (MDA) levels. According to our previous study [27], MDA levels were measured based on the TBA reaction. Briefly, 100 μl of patient serum was mixed in a reagent containing 15% w/v TCA, 0.375% w/v TBA, and 0.25 N HCl and then measured at 535 nm. Finally, the level of MDA was expressed in µmol/L.

Nitric oxide metabolite

Nitrite level was measured as a nitric oxide indicator by the Griess method [28]. First, patients' serum was deproteinized with acetonitrile, and then 100 μl of supernatant was added to the Griess reagent. After incubation for 30 min, the absorbance of the samples was read at 540 nm. Sodium nitrite was also used as a standard, and the level of nitric oxide metabolite was calculated using a standard curve.

Total antioxidant capacity

Total serum antioxidant capacity was measured by the ferric reducing antioxidant power (FRAP) method [29]. Total antioxidant capacity is expressed by the method of determining the antioxidant/regenerative power of ferric. At low pH, the ferric–TPTZ complex is reduced to ferrous form, and its concentration in blue was measured at 593 nm. The standard curve was drawn based on standard solutions of ferrous sulfate. The change in absorption is directly related to the total antioxidant-reducing power of the complex reaction. FRAP content is expressed in µmol/L.

Measuring the antioxidant enzyme activity

Measurement of superoxide dismutase activity was performed using a commercial Ransod kit (Randox, Crumlin, UK). Serum SOD activity was measured according to the previous study [30] spectrophotometry. In this protocol, SOD prevents the reduction of iodonitrotrazole (INT) in the presence of xanthine oxidase and xanthine. Then, at a wavelength of 505 nm, they were read, and their activity was expressed in U/mg.

Statistical analysis

Entry and analysis of all data were done using a statistical software package (SPSS for Windows, Version 16.0, SPSS Inc., Chicago, IL). At first, the Shapiro–Wilk statistical test was used to assess the normality assumption. Data were presented as mean ± SD when distributed normally and as median with interquartile range (IQR) if the distribution was skewed. For comparisons among groups, if the data had a normal distribution, they were analyzed by ANOVA (Tukey’s post-hoc test) and Pearson correlation, and Kruskal Wallis (Bonferroni correction for pairwise comparisons) and Spearmen correlation if the data did not have a normal distribution. The Chi-square test compared qualitative variables among three study groups. In all tests, the significance level was set at 0.05. A simple binomial logistic regression analysis was used to assess the effect of variables on the severity of diseases. A multiple binomial logistic regression analysis was then performed, including all variables that had a p value in the simple logistic regression analysis < 0.2. The multiple regression analyses, p value, odds ratio (OR), and 95% confidence intervals (CI) for each variable were reported.

Results

Socio-demographic characteristics

The flow diagram of this study is shown in Fig. 1. The mean [± standard deviation (SD)] age of COVID-19 patients, including normal, non-severe, and severe groups, in this study were 37.29 ± 10.63, 39.55 ± 9.84, and 40.37 ± 9.99 years, respectively. There was a significant change between normal and severe group (P ≤ 0.05). Male-to-female percent of normal, non-severe, and severe group in the current study were 51.7/48.3%, 56.0/44.0%, and 43.1/56.9%, respectively (Table 1).

Fig. 1
figure 1

Schematic flow diagram of the study

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Table 1 Patient demographic information and clinical characteristics
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Hematological and biochemical parameters in different stages of COVID-19 patients

Our results indicated that ESR, CRP, AST, ALT, and LDH significantly increased in the non-severe group in contrast to the normal group (P ≤ 0.01). Moreover, these markers were significantly augmented in the severe group as compared to non-severe patients (P ≤ 0.01). In addition, the lymphocyte count markedly declined gradually in COVID-19 patients with different disease severity (P ≤ 0.01); the severe group had the lowest level of it (Fig. 2). The saturation of oxygen was markedly reduced in the normal and non-severe groups as compared to the severe group (P ≤ 0.01) (Fig. 3). Additional file 1: Table S1 shows other parameters between groups (Table 2).

Fig. 2
figure 2

Levels of biochemical and hematological parameters between groups. A Lymphocyte count; B ESR; C CRP; D AST; E ALT; and F LDH. *p < 0.01, in comparison with normal group. #p < 0.01, in comparison with non-severe group

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Fig. 3
figure 3

Levels of saturation of oxigen between groups. *p < 0.05, in comparison with normal group. #p < 0.05, in comparison with non-severe group

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Table 2 Multiple logistic regression to assess the effect of variables on the severity of diseases
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A disturbed oxidant–antioxidant balance is associated with increased disease severity

Figure 4 shows comparisons of G6PD, FRAP, NO metabolite, MDA, and SOD levels between groups. It was observed that the levels of FRAP, G6PD activity, and SOD activity were significantly reduced in non-severe patients in comparison with the normal group (P ≤ 0.0001). Furthermore, these parameters markedly decreased in the non-severe group as compared to severe patients (P ≤ 0.0001). We found that patients with different degrees of COVID-19 showed a gradual increase in MDA content, with the lowest level found in the normal group and the highest level observed in the severe group. It showed that the levels of NO metabolite significantly increased in severe patients in comparison with the normal and non-severe groups (P ≤ 0.0001). However, NO metabolite level showed no significant change between the normal and non-severe groups.

Fig. 4
figure 4

Levels of oxidative stress parameters between groups A G6PD; B FRAP; C NO metabolite; D MDA; and E SOD. *p < 0.0001, in comparison with normal group. #p < 0.0001, in comparison with non-severe group

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Analysis of correlations between studied parameters

We found that there is a statistically significant positive correlation between the saturation of oxygen and LYM count (r = 0.46, P < 0.0001), the saturation of oxygen and SOD activity (r = 0.52, P < 0.0001), as well as plasma MDA and CRP levels (r = 0.66, P < 0.0001). However, negative correlations were observed between the saturation of oxygen and CRP (r = −0.80, P < 0.0001), ESR (r = −0.50, P < 0.0001), and MDA (r = −0.60, P < 0.0001) content, as well as plasma MDA and SOD activity (r = −0.40, P < 0.0001) (Additional file 1: Table S1).

The negative correlations were observed between the death and LYM count (r = −0.27, P < 0.0001), SOD activity (r = −0.24, P < 0.0001), as well as the saturation of oxygen (r = −0.32, P < 0.0001). However, a positive correlation was observed between the death and CRP (r = 0.27, P < 0.0001), AST (r = 0.26, P < 0.0001), LDH (r = 0.32, P < 0.0001), and MDA level (r = 0.32, P < 0.0001) (Additional file 1: Table S1).

Analysis of multiple logistic regression

For one unit increase in CRP, the chance of patients being in the severe group versus the non-severe group increased by approximately 6%, and this value was statistically significant (OR = 1.069; P < 0.001). In addition, for one unit increase in BS, the chance of patients being in the severe group significantly increased by approximately 2% (OR = 1.016; P < 0.001). The chance of being in the severe group was twice that of the non-severe group per one-unit increase in MDA (OR = 2.022; P < 0.001). In addition, for one unit decrease in FRAP, the chance of patients being in the severe group significantly decreased by 0.2% (OR = 0.998; P = 0.042). For one unit decrease in SOD, the chance of patients being in the severe group significantly decreased by approximately 0.6% (OR = 0.939; P = 0.028).

Discussion

Various studies have shown that COVID-19 patients is involved in inducing oxidative stress and inhibiting the activity of the body's antioxidant system [31, 32]. Our findings in this study revealed that COVID-19 patients have low levels of antioxidant parameters such as TAC, SOD and high serum levels of oxidative stress markers, such as MDA.

The imbalance between oxidant production and antioxidant mechanisms leads to oxidative stress, which can lead to oxidative damage, such as lipid peroxidation and DNA oxidation [33]. Malondialdehyde, which is derived from lipid peroxidation, is one of the best indicators of oxidative stress [34, 35]. We only found a statistically significant positive correlation between plasma MDA and CRP levels. It seems that MDA and CRP levels in COVID-19 patients increased significantly, which is proportional to the severity of the disease. Viruses induce oxidative stress to facilitate their proliferation within the cell [36]. Reactive oxygen species (ROS) are produced by pulmonary alveolar macrophages in response to COVID-19 infection [37]. Extensive production of ROS and failure to neutralize it by the body's defense mechanisms, including innate immunity and antioxidant defense, following viral infection leads to a wide range of pathologies [38]. In some cases, viruses have the ability to suppress the Nrf2 (a transcription factor that regulates the expression of genes responsible for the production of antioxidant proteins) pathway [39, 40]. The expression of Nrf2 target genes, including homoxygenase-1 (HO-1), SOD1, SOD3, glutathione S-transferase (GST), catalase (CAT), and glutathione peroxidase (GPX) decreases [39]. Therefore, these findings confirm that oxidative stress plays an effective role in the response to the SARS-CoV-2 viral infection. In line with our finding, previous studies [41, 42] depicted that SARS-CoV-2 infection increases oxidative stress, and oxidative stress also plays a role in exacerbating the infection.

Viral infections are associated with decreased antioxidant defenses [43]. According to our results, SOD activity and TAC were significantly reduced in these patients. SOD is one of the main enzymes in the antioxidant defense system. Decreased SOD expression can increase the production of ROS and thus increase pro-inflammatory responses [44]. In general, an excessive inflammatory response is also associated with the severity of SARS-CoV-2 infection [44]. In line with our results, Lin et al. reported that H5N1 influenza infection in lung epithelial cells reduced SOD expression at mRNA and protein levels [45].

Nitric oxide is a gaseous free radical that is involved in regulating immune responses [46]. According to our data, a significant decrease in NO was observed in patients. Vasodilation effected by NO may potentially diminish lung injuries due to COVID-19 [46]. NO inhalation or a nitrate-rich diet can be useful in reversing pulmonary hypertension and mortality caused by COVID-19 [47, 48]. Decreased or impaired NO metabolism is associated with the intensity of COVID-19 disease [47]. Decreasing NO and increasing oxidative stress disrupt endothelial function and macrophages, and increases inflammatory cytokines such as tumor necrosis factor (TNF) and monocyte–absorption protein (MCP-1) in endothelial cells and monocytes [49, 50].

NO production is positively associated with G6PD activity. G6PD deficiency reduces the amount of NADPH required to form NO [37].

G6PD deficiency has a positive association with the severity of COVID-19 disease [51]. G6PD may play a substantial role in viral infections. G6PD deficiency enhances cytopathic effects and viral replication [52, 53]. According to the results of our study, the level of G6PD in these patients was significantly reduced. NADPH, the main product of G6PD, is vital for the regeneration of GSH, which plays an important role in cellular antioxidant defense [54]. NADPH also plays a variety of roles in cellular regulation by redox signals, for example, ROS and RNS, which produce NADPH oxidase (NOX) and nitric oxide synthase (NOS), respectively [54]. G6PD maintains redox homeostasis by keeping cytotoxic ROS at appropriate levels, because high levels of ROS are cytotoxic [55]. G6PD is involved in modulating the inflammatory response in immune cells. Peripheral mononuclear cells produce lower levels of proinflammatory cytokines, IL-6 and IL-1β, under G6PD deficiency [56]. G6PD deficiency affects many cellular immune responses, such as increased production of the pro-inflammatory cytokine IL-8 and impaired inflammasome activation [57, 58]. In addition, G6PD deficiency has been shown to increase viral infections. During the current COVID-19 epidemic, G6PD deficiency has exacerbated the severity of the infection [59].

In laboratory findings in COVID-19 patients, the number of lymphocytes and percentage of oxygen saturation decreased, but the levels of liver enzymes (AST and ALT), inflammatory markers (CRP and ESR), and lactate dehydrogenase increased. Important causes of lymphocyte deficiency in COVID-19 patients include: (a) because lymphocytes express the coronavirus receptor called ACE2, SARS-CoV-2 can directly infect lymphocytes and lead to lymphocyte death [60]. (B) Increased inflammatory cytokines induced by SARS-CoV-2 may lead to increased lymphocyte apoptosis compared to other viruses [61]. Thus, a decrease in lymphocytes may eventually reduce the host's antiviral immunity, which causes infection.

Coagulation, sepsis, and decreased oxygen transport to tissues are significant symptoms in COVID-19 patients [62]. According to our results, the percentage of oxygen saturation in these patients showed a significant decrease. Hypoxia in tissues causes the production of ROSs, such as superoxide and H2O2, which increase the expression of inflammatory cytokines [63, 64]. These inflammatory cytokines aggravate the infection in COVID-19 patients by increasing oxidative stress.

Serum aminotransferase levels are effective indicators of hepatocellular injury [65]. The results of our study showed an increase in hepatic aminotransferase such as AST and ALT in COVID-19 patients compared to the control group. Hepatocytes and bile duct cells over express the ACE2 receptor, which binds to the SARS-CoV-2 virus [66]. This ACE2 receptor could be one of the receptors involved in the liver damage seen in COVID-19 [67]. Similar to our results, a study by Medetalibeyoglu et al. showed that an increase in hepatic aminotransferases such as AST and ALT was associated with a more severe course and an increase in mortality in COVID-19 patients [68].

Some cytokines, such as hepatocyte growth factor (HGF), play an important role in the severity of COVID-19 [69]. Increased inflammatory mediators play an important role in pneumonia caused by human pathogenic coronaviruses, including SARS-CoV-2 [44]. In this study, high levels of the two inflammatory markers CRP and ESR were associated with the severity of COVID-19, thus confirming the results of previous studies [70, 71]. Recent research demonstrated that patients with CRP > 64.75 mg/L were more likely to have severe complications [72, 73]. Alamdari et al. [7] showed an increase in the oxidative stress level of COVID-19 patients as well as a significant relationship between CRP and nitrite levels in the inflammatory phase. Moorthy et al. [74], depicted that the CRP, LDH, eosinophil, and lymphocyte counts serve to predict the severity and prognosis of COVID-19 patients [74]. Some studies have shown that LDH has a poor prognosis with COVID-19 [67, 75]. According to the findings of this study, the serum level of LDH in COVID-19 patients related to the severity of the disease had a significant decrease compared to the control group. LDH has been found to affect the prognosis of different diseases, including cancer [76]. Elevated LDH in patients with COVID-19 can indicate lung and tissue damage [60]. COVID-19 may lead to inadequate tissue perfusion and multiple organ failure by various mechanisms, including thrombosis, which increases LDH [77]. Thus, high LDH serves as a biomarker of the disease expansion.

Our study has some limitations. First, patients with mild symptoms may not visit the clinics and only stay at home. This may potentially increase the ratio of patients with drastic illness in our study; second, most of our patients were admitted to the hospital only when they developed symptoms of COVID-19. This diagnostic criterion may underestimate the actual population of COVID-19 patients.

Availability of data and materials

Data are contained within the article.

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Acknowledgements

We are grateful for the participants in this study. In addition, we express condolences to all those who missed relatives or friends during the coronavirus outbreak.

Funding

This work was financially supported by a Grant (990001661) from the Deputy of Research, Bushehr University of Medical Sciences.

Author information

Authors and Affiliations

  1. Clinical Research Development Center, “The Persian Gulf Martyrs” Hospital, Bushehr University of Medical Sciences, Bushehr, Iran

    Alireza Bastin & Hossein Karami

  2. Department of Clinical Biochemistry, Faculty of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran

    Alireza Bastin

  3. Department of Infectious Disease, Faculty of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran

    Fatemeh Abbasi

  4. Department of Biostatistics and Epidemiology, School of Health, Yasuj University of Medical Sciences, Yasuj, Iran

    Narges Roustaei

  5. Department of Clinical Immunology, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran

    Jahangir Abdesheikhi

  6. Department of Infectious Disease, Faculty of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran

    Mohammad Gholamnezhad

  7. Pharmaceutical Sciences Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran

    Mahdieh Eftekhari

  8. Department of Pharmacognosy and Pharmaceutical Biotechnology, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran

    Mahdieh Eftekhari

  9. Medicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran

    Amirhossein Doustimotlagh

  10. Department of Clinical Biochemistry, Faculty of Medicine, Yasuj University of Medical Sciences, Yasuj, Iran

    Amirhossein Doustimotlagh

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  1. Alireza Bastin
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  2. Fatemeh Abbasi
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  4. Jahangir Abdesheikhi
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  5. Hossein Karami
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  7. Mahdieh Eftekhari
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  8. Amirhossein Doustimotlagh
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Contributions

ARB and HK: performed the experiments, JA: wrote the manuscript in consultation with ME. FA, MG and NR: contributed to the interpretation of the results. ME and AHD: designed the experiments. ME and AHD: supervised the project. All authors agree with submission of the manuscript. In addition, the authors declare no conflict of interest.

Corresponding authors

Correspondence to Mahdieh Eftekhari or Amirhossein Doustimotlagh.

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Ethics approval and consent to participate

This study was approved by the ethics committee of Bushehr University of Medical Sciences.

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Data have been approved for publication.

Competing interests

The authors declare no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Levels of biochemical and hematological parameters between groups. Table S2. Statistical significant correlations between studied parameters.

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Bastin, A., Abbasi, F., Roustaei, N. et al. Severity of oxidative stress as a hallmark in COVID-19 patients. Eur J Med Res 28, 558 (2023). https://doi.org/10.1186/s40001-023-01401-2

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European Journal of Medical Research

ISSN: 2047-783X

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