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Psychiatry Investig > Volume 22(10); 2025 > Article
Fedai, Çetin, Koyuncu, and Akıl: Interleukin-40 and Oxidative Stress in Patients With Generalized Anxiety Disorder

Abstract

Objective

Interleukin (IL)-40 is a recently identified cytokine implicated in inflammatory diseases. Increasing evidence links anxiety disorders to heightened inflammation. This study aimed to investigate IL-40 levels and oxidative stress in patients with generalized anxiety disorder (GAD).

Methods

Fourty-four patients with GAD and 44 healthy controls were recruited for this study. All patients were assessed for severity of anxiety symptoms using the Hamilton Anxiety Rating Scale (HAM-A).

Results

The serum IL-40 levels were observed to be elevated in patients diagnosed with GAD in comparison to healthy controls (p<0.001). A significant positive correlation was observed between IL-40 and HAM-A scores (r=0.329, p=0.029). IL-40 demonstrated predictive value in receiver operating characteristic analysis, with an area under the curve value of 0.871 (p=0.001). The levels of native thiol and total thiol were found to be significantly lower, while the levels of disulfide were significantly higher in comparison to the control group (p<0.001, p=0.001, p=0.027, respectively). However, IL-40 levels showed no significant correlation with oxidative stress markers, including native thiol, total thiol, and disulfide levels.

Conclusion

This is the first study to explore the potential relationship between IL-40 and the pathophysiology of GAD. The observed elevation in IL-40 levels may reflect a possible immune regulatory imbalance in GAD. While these findings suggest that IL-40 could be a candidate biomarker for further investigation, their clinical utility for diagnosis or monitoring remains speculative. Additional large-scale and longitudinal studies are required to confirm these preliminary observations and to better understand the immunological aspects of GAD.

INTRODUCTION

Generalized anxiety disorder (GAD) is a highly prevalent and often chronic condition characterised by excessive, uncontrollable and frequent, irrational worries about everyday matters. GAD has a prevalence rate of more than 5% in the general population [1]. Although psychopharmacological and psychological treatments with proven efficacy in GAD exist, 42% of patients with GAD still have symptoms after 12 years, and half of patients who do recover can relapse [2,3]. A review of the etiology of GAD reveals a number of potential factors, including genetics, neurological dysfunction, stress, and life experiences [4]. The number of neurobiological studies aimed at elucidating the aetiology of the disorder has been increasing steadily. One of the biological mechanisms that has recently been the focus of research is that of stress-induced immune system pathologies leading to neuroinflammation and changes in the brain [5]. Chronic stress has been demonstrated to disrupt negative feedback in the hypothalamic-pituitaryadrenal (HPA) axis [5], resulting in increased activation in the sympathetic nervous system and decreased activation in the parasympathetic nervous system activity [6]. Consequently, catecholamine levels, which have been demonstrated to elevate pro-inflammatory cytokines, increase, whereas acetylcholine levels, which have been shown to reduce the levels of proinflammatory cytokines, decrease [5]. This mechanism may result in an increase in proinflammatory cytokine levels [5]. Thus, stress has an impact on the HPA axis, the autonomic nervous system, and, as a consequence, on the immune system. However, the diagnosis of anxiety disorders is based on the presence of specific symptoms, as outlined in the diagnostic criteria, rather than on the presence of objective biomarkers [7]. This results in challenges in both the diagnosis and estimation of severity of the disorder [8].
Oxidative stress has been implicated as one of the contributing factors in the pathophysiology of neuropsychiatric disorders, although the precise mechanisms remain unclear [9,10]. One important pathway may involve glutamate excitotoxicity and the generation of reactive oxygen species (ROS) [11]. Dynamic thiol-disulfide homeostasis (TDH), which reflects the balance between thiol and disulfide groups, serves as a sensitive marker of oxidative stress. Dynamic TDH reflects the balance between thiol groups and their oxidized counterparts, disulfides, and serves as an important marker of oxidative stress [12,13]. Thiols are highly sensitive to oxidation and act as antioxidants by neutralizing ROS. Under oxidative conditions, thiols form disulfide bonds, which are reversible, allowing the system to maintain redox balance. Disruption of this dynamic equilibrium has been associated with reduced antioxidant capacity and has been implicated in various psychiatric disorders [12]. Previous studies have demonstrated that NT and TT levels are decreased in patients with psychiatric disorders such as schizophrenia and bipolar disorder, with lower thiol levels correlating with greater symptom severity. Similarly, in individuals with untreated GAD, disulfide levels and disulfide-to-thiol ratios have been found to be significantly elevated, while the native-to-total thiol ratio was reduced compared to healthy controls (HCs). These findings suggest that oxidative imbalance may be a common feature across multiple psychiatric conditions [14,15].
Chronic stress and associated anxiety initiate proinflammatory changes through the HPA axis, thereby increasing the risk of excessive systemic inflammation [16]. The overall evidence suggests that anxiety disorders can be associated with increased inflammation [17]. A large cohort study reported high C-reactive protein (CRP) levels as a result of interleukin (IL)-6 secretion in patients with GAD [18]. In addition, a meta-analysis reported that CRP, IL-1, IL-1α, IL-2, IL-8, IL-6, IL-12p70, and IL-10 levels were increased in GAD, whereas IL-4 and IL-5 levels did not change [19]. This indicates that inflammation might significantly contribute to the development of anxiety disorders [20]. IL-1 is a cytokine with potent effects on serotonin, acetylcholine, and catecholamines. The majority of the neural, behavioural, and physiological changes triggered by stress also occurred after intracerebroventricular IL-1 administration. The elevation of IL-1 in patients with anxiety disorder lends further support to this information [21]. Mechanistically, increased oxidative stress resulting from the pro-inflammatory responses associated with elevated levels of IL-6 was shown to affect brain function and signalling patterns and therefore was directly implicated in the aetiology of GAD [22]. Many studies have shown that peripheral inflammation also affects brain structures associated with anxiety [16,23,24]. This may be due to the effects of cytokines on monoamines. It has been demonstrated that inflammatory biomarkers, including inflammatory cytokines and acute-phase proteins, are markedly elevated in a considerable number of patients with anxiety disorders. These biomarkers are considered to be potentially involved in the emergence of behavioural symptoms, rather than direct causal agents. This can be attributed to the presence of particular biological mediators between stress and inflammation, including corticotropin-releasing factor [16].
Immunoglobulins, essential components of the immune system, are regulated by the neuroendocrine system. Secretory immunoglobulin A (S-IgA), in particular, has been shown to increase in response to acute stress, while chronic anxiety may impair immune function and reduce immunoglobulin levels [25,26]. Studies have reported a negative correlation between perceived stress and S-IgA concentrations, suggesting that anxiety-related immune alterations may influence humoral immunity [27,28]. IL-40, a novel cytokine first identified in 2017, plays a key role in B cell-mediated immune responses, particularly in IgA production and B cell homeostasis [29,30]. Initially thought to be produced mainly by fetal liver, bone marrow, and activated B cells, IL-40 is now also known to be secreted by T cells, neutrophils, and macrophages [31]. Its involvement in autoimmune and inflammatory conditions—such as Sjögren’s syndrome, systemic lupus erythematosus, and rheumatoid arthritis—suggests that IL-40 may act as both an immune regulator and pro-inflammatory mediator [32]. Moreover, IL-40 has been shown to induce the release of chemokines such as MCP-1 and CXCL8, further implicating it in inflammatory pathways [33].
As with other psychiatric conditions, the diagnosis of GAD currently relies on clinical symptoms rather than objective biological markers. However, symptom overlap with other disorders and heterogeneity within GAD populations can contribute to diagnostic challenges and variable treatment outcomes [34]. Consequently, there is growing interest in exploring potential biomarkers that may help to better understand the pathophysiology of GAD [35]. Given the emerging evidence linking proinflammatory cytokines, oxidative stress markers, and immunoglobulin A to anxiety-related mechanisms, we hypothesized that IL-40 may be associated with GAD. Therefore, in this cross-sectional study, we aimed to investigate serum IL-40 levels in patients with GAD and to examine their relationship with symptom severity, CRP, and TDH, a marker of oxidative stress.

METHODS

Study population

A total of 88 participants were recruited in this case-control study, including 44 individuals with GAD and 44 HCs matched for age and sex. The patient group (n=44) was aged between 18-65 years and diagnosed with GAD according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria through a semi-structured clinical interview at the Harran University Psychiatry Outpatient Clinic. The main inclusion criterion was abstinence from major psychotropic medication or psychotherapy for at least 4 weeks prior to enrollment. All participants completed the Hamilton Anxiety Rating Scale (HAM-A), Hamilton Depression Scale (HAM-D), and a sociodemographic data form.
Exclusion criteria were as follows: presence of other psychiatric disorders (e.g., major depressive disorder, bipolar disorder, schizophrenia, obsessive-compulsive disorder [OCD], dementia, or other mental illnesses), substance use disorders, HAM-D score ≥7, inability to complete the assessments or questionnaires, severe physical illnesses (e.g., severe cardiopulmonary diseases, epilepsy, malignancies, hematological conditions, or autoimmune diseases), use of immunomodulatory drugs within the past 6 months (e.g., glucocorticoids, immunomodulators, antipyretics, or analgesics), and pregnancy.
All HCs were evaluated by a qualified psychiatrist using the Structured Clinical Interview for DSM-5 Disorders (SCID-5). Individuals with any history of psychiatric illness were excluded from the control group.

Psychiatric measurements

HAM-A

The severity of anxiety in the patients diagnosed with GAD was assessed using the HAM-A. The scale was initially developed by Hamilton [36] in 1959 and has since been adapted and validated in numerous languages, including the Turkish by Yazıcı et al. [37]. The HAM-A scale comprises 14 items and assigns scores ranging from 0 to 56. A higher total score indicates greater anxiety levels, aiding in the assessment of anxiety severity and symptom profiles. The HAM-A assessments were conducted by an experienced psychiatrist to accurately measure patient anxiety levels and symptom presentations.

HAM-D

HAM-D was developed by Hamilton in 1960.38 It is a scale employed by clinicians to evaluate the severity of depression symptoms over the previous week. A Turkish validity and reliability study was conducted by Akdemir et al. [38] in 1996 under the name of HAM-D.

SCID-5-Clinician Version

The structured interview under consideration comprises 32 diagnostic categories, accompanied by detailed diagnostic criteria, and 17 diagnostic categories, encompassing solely exploratory questions. Within the framework of the validity and reliability study of the SCID-5-Clinician Version (SCID-5/CV) Turkish version, the kappa coefficients between the interviewers were observed to range from 0.65 to 1.00.

Blood sample collection, processing, and storage

In the morning following an 8-hour period of complete fasting, a 10 mL blood sample was obtained from each subject in a sterile tube. The blood was centrifuged at 2,500 rpm for 15 minutes. Subsequent to centrifugation, the serum was placed into an Eppendorf tube and stored at -80°C until further analysis was conducted.

Measurement of cytokines

Serum IL-40 levels were determined by an ELISA kit (YLBIONT ELISA kit, CAT NO: YLA3888HU) as per the manufacturer’s instructions protocol. For this, a 96-well microplate was pre-coated with the human IL-40 antibody. Patient serum samples were then added to the wells of the 96-well plate in order for the IL-40 to bind to the coated antibody. The wells were then washed to remove any unwanted molecules, followed by the addition of biotinylated human IL-40 antibody and streptavidin-HRP. The samples were incubated for a defined period and the unbound Streptavidin-HRP was removed by washing. Subsequently, a substrate solution was introduced, resulting in a colour development that was proportional to the quantity of human IL-40 present in the samples. The reaction was stopped by adding an acidic stop solution, and the absorbance was quantified at 450 nm using a microplate reader (Cytation-1, Biotek).

Measurement of thiol-disulphide homeostasis

TT and NT levels were quantified using a spectrophotometric method reported by Erel and Erdoğan [12]. The disulphide (DS) content was determined by subtracting the NT levels from the serum TT levels and dividing the result by two. Furthermore, the DS/NT, DS/TT, and NT/TT ratios were calculated and reported as percentage (%).

Statistical analysis

The data were statistically analysed using SPSS 20.0 software package for Windows (IBM Corp.). The results were typically presented as mean±standard deviation. The distribution of all variables was evaluated using the Kolmogorov-Smirnov test, which indicated either equal or nearly equal distributions. Demographic data and differences in serum thiol/disulfide parameters/cytokine levels between GAD patients and HC were analysed using an independent t-test. A receiver operating characteristic (ROC) curve was applied to evaluate the predictive value of baseline cytokine levels in GAD. Pearson correlations were used to examine the relationships between cytokine levels, clinical variables (age, HAM-A scores, and illness duration), and thiol/disulfide parameters. In all analyses, the threshold for statistical significance was set at p<0.05.

Ethical considerations

The study’s objectives were clearly communicated to all participants, and their informed written consent was obtained prior to participation. The research was executed in accordance with the ethical principles outlined in the Declaration of Helsinki and approval was obtained from the Ethics Committee of Harran University Hospital (Date: 01.04.2024, Decision No: HRU 24.03.10).

RESULTS

Sociodemographic characteristics, clinical characteristics, and laboratory findings

Table 1 presents an overview of the sociodemographic, clinical, and laboratory characteristics of the participants in the study. No significant differences were identified in age, sex, or body mass index (BMI) between the GAD patients and the HCs. Thirty-six point four percent of the participants were male. The mean serum IL-40 levels were 21.69±10.16 pg/mL and 11.23±4.17 pg/mL in the patient and control groups, respectively (p<0.001). When analyzed by sex, both male and female patients with GAD had significantly higher serum IL-40 levels than their respective healthy counterparts (male: p<0.001, female: p<0.001). Additionally, a statistically significant difference was identified in NT, TT, and DS (p<0.001, p=0.001, p=0.027, respectively) between the GAD patients and controls. A statistically significant difference was also identified in the ratios DS/NT, DS/TT, and NT/TT between the patient and control groups (p<0.001 for each comparison).
The GAD group was divided into two categories based on the median disease duration: a short group (≤12 months) and a long group (>12 months). A significant difference was observed in IL-40 levels between the two groups (p<0.001). The IL-40 level was 17.28±4.94 pg/mL in the short group and 28.06±12.35 pg/mL in the long group.

Correlation analysis among different study parameters

A series of correlation analyses was conducted to elucidate the association between altered IL-40 serum levels and various demographic and clinical variables, including age, BMI, HAM-A scores, and disease duration (Table 2). A positive correlation was established between serum IL-40 levels and HAMA scores and disease duration and CRP (r=0.329, p=0.029; r=0.336 p=0.026; r=0.328, p=0.030; respectively). Additionally, a statistically significant negative correlation was identified between age and IL-40 serum levels (r=-0.307, p=0.043). However, no significant correlations were identified in the BMI, NT, TT, DS, DS/NT, DS/TT, or NT/TT ratios (p>0.05).

ROC analysis

Serum IL-40 measurements demonstrated good discriminatory power in distinguishing GAD patients from HCs, with an area under the curve of 0.871 (p<0.001). The sensitivity of 81.8% and a specificity of 77.3% at a cut-off value of 13.34 pg/mL, with cytokine levels above this threshold indicating the presence of the disease (Table 3 and Figure 1).

DISCUSSION

To the best of our knowledge, this study is the first case-control investigation to explore the potential link between the pathophysiology of GAD and the inflammatory cytokine IL-40. Our findings reveal that serum IL-40 levels in patients with GAD were significantly higher compared to the HC group. Furthermore, a substantial positive correlation was identified between IL-40 levels and the severity of anxiety, the duration of anxiety disorder, and CRP. However, although thiol/disulfide parameters were notably elevated in GAD patients compared to healthy individuals, these markers did not show any correlation with IL-40 levels.
The pathophysiology of GAD is complex, involving an intricate interaction between neurological, genetic, and environmental factors [39]. Numerous studies have established a link between changes in inflammatory cytokine levels and anxiety disorders, as well as correlations between cytokine levels and psychiatric disorder severity [40-43]. The correlation between serum IL-40 levels and the severity and duration of GAD observed in the current study may provide insight into potentially important immunological pathways. A significant element of the aetiology of GAD is deregulation in the immune system [17]. The cytokine hypothesis suggests that stress and activation of the sympathetic nervous system may initially trigger cytokine production [44]. Subsequently, neuroinflammatory processes induced by proinflammatory cytokines may lead to alterations in the serotonergic neurotransmitter system within the central nervous system, potentially resulting in decreased serotonin production or increased serotonin reuptake. These processes could contribute to the onset or exacerbation of anxiety symptoms [45]. The findings of the current study, therefore, support the cytokine hypothesis of anxiety disorders. The positive correlation between IL-40 levels and both HAM-A scores and disease duration observed in our study suggests that IL-40 may play a role in the development of GAD. Notably, when we stratified GAD patients based on the duration of the illness, those with long-term illness exhibited significantly higher IL-40 levels compared to those with a shorter illness duration, further supporting this association. The positive correlation between elevated IL-40 levels and the severity and duration of GAD suggests that this cytokine may be involved in the pathophysiology of the disorder. However, this association was modest (r=0.329), and given the exploratory nature of this study, it would be premature to draw conclusions regarding diagnostic utility or therapeutic targeting. Future longitudinal and mechanistic studies are warranted before IL-40 can be considered as a candidate biomarker or treatment target.
A ROC analysis indicated that the IL-40 serum levels had a high predictive value in distinguishing GAD patients from HCs. This finding suggests that IL-40 serum levels could serve as a potential biomarker for diagnosing GAD, monitoring the response to anxiolytic medications, or tracking disease progression. Biomarkers may elucidate the aetiology of mental illnesses, corroborate diagnoses, identify susceptible individuals, and determine the severity of illness. Biomarkers can also be employed to inform treatment decisions and monitor clinical response [46]. Hou et al. [47] (2019) reported that peripheral serum levels of IL-6 can be employed as a means to monitor treatment response to selective serotonin reuptake inhibitors in GAD. Likewise, IL-40 may represent a potential avenue for future investigation as a marker for monitoring therapeutic drug responses in GAD; nevertheless, this remains speculative and requires validation in future longitudinal studies to clarify its relationship with disease severity and pathogenesis.
Several studies have suggested a link between oxidative stress and the mechanisms underlying anxiety disorders [10]. Glutamate levels have been reported to be increased by pro-inflammatory cytokines, which may, in turn, cause excitotoxicity and impair neurogenesis through the activation of N-methyl-d-aspartate receptors. The activation of astrocytes and microglia by pro-inflammatory cytokines has been demonstrated to result in the secretion of reactive oxygen and nitrogen species, which can subsequently cause oxidative damage to neurons [5]. Recently, researchers have turned their attention to TDH as a potential newly identified indicator of oxidative stress. The thiol-DS balance reflects the levels of oxidants and antioxidants in the body. Consequently, current evidence suggests the involvement of the thiol-DS status in the aetiology of an expanding number of illnesses [13]. DS levels and the DS/NT and DS/TT ratios were reported to be significantly elevated in untreated GAD patients compared to HCs. The same study also showed that the ratio of NT to TT was notably reduced [15]. Similarly, another study reported that SS levels and the DS/NT ratio were elevated in drug-free patients with GAD compared to healthy individuals, whereas the NT/TT ratio was reduced [16]. In our study, we observed elevated levels of DS, as well as higher DS/NT and DS/TT ratios while the levels of NT, TT, and the NT/TT ratio were lower in GAD patients versus HCs. These results are consistent with the existing literature, indicating that TDH is disrupted in untreated GAD patients.
Oxidative stress and inflammation are closely related. Elevated ROS production triggers microglial activation, which subsequently causes neuronal death and the release of pro-inflammatory cytokines that inhibit neurogenesis [48]. Our study demonstrated increased levels of IL-40 in GAD patients and an impairment in TDH. However, correlation analyses revealed no significant associations between IL-40 levels and DS, NT, or TT concentrations, nor with the ratios of DS/NT, DS/TT, and NT/TT. The absence of a significant correlation between IL-40 levels and TDH parameters may suggest that these markers operate through distinct pathophysiological mechanisms. It is also possible that IL-40 reflects a more upstream or cytokine-specific immune response, while TDH parameters may be influenced by oxidative stress occurring at a different stage or through different regulatory pathways. Temporal dissociation between cytokine release and redox balance alteration could also contribute to the lack of observed association. Further studies with larger cohorts and longitudinal designs are warranted to explore the potential mechanistic links or independence between these biomarkers.
The serum levels of IL-40 showed good performance in distinguishing GAD patients from HCs in the current study and also revealed a positive correlation with disease severity. These findings indicate that IL-40 may have potential as a biomarker candidate for GAD. However, the diagnostic value of this cytokine should be further evaluated through comprehensive, longitudinal studies with larger and more diverse samples. In conclusion, our findings indicate that IL-40 levels were elevated in GAD patients compared to HCs, supporting the need for further studies to clarify its potential role in the pathophysiology of anxiety disorders. Early diagnosis may also decrease treatment costs and ameliorate the prevalence and morbidity associated with this chronic condition.
Anti-cytokine therapies, currently used to treat various autoimmune and inflammatory disorders [49,50], may have potential in reducing pro-inflammatory responses in GAD. However, understanding the complex immune system balance requires careful evaluation, and the development of targeted treatments depends on a detailed understanding of the specific mechanisms involved in GAD pathogenesis.

Limitations

The limitations of our study include the recruitment of patients from a single centre with a relatively small sample size. This necessitates the validation of our findings in a larger patient cohort. It was not possible to draw definitive conclusions on the existence of causal relationships due to the cross-sectional design of this study. Serum cytokine levels can be highly variable and be influenced by biological circadian rhythms; however, we aimed to mitigate this effect by collecting blood samples between 8 and 10 AM. Additionally, the study did not include comparison groups with other psychiatric or metabolic conditions, such as depression, OCD, obesity, or insulin resistance, which limits the ability to determine whether IL-40 is specific to GAD. As these conditions are frequently comorbid with GAD and are known to affect inflammatory markers, they should be acknowledged as potential confounding factors in future differential diagnosis studies. Lastly, future studies examining dynamic changes in TDH and cytokine levels before and after therapeutic interventions could provide a clearer understanding of the role of this system in the neuro-inflammatory pathway of GAD.

Conclusion

Keeping in mind the high incidence of psychiatric comorbidities associated with GAD, the inclusion of GAD patients without any comorbid psychiatric conditions and without the use of any medications should be considered as a strength of the current study.
The current study offers significant insights into the relationship between serum IL-40 levels and TDH, and contributes towards a better understanding of the pathophysiology of GAD. The observed increase in IL-40 levels and positive correlation with CRP in GAD patients support our hypothesis of a potential immune regulatory imbalance in GAD and suggest that IL-40 plays a role in regulating anxiety severity. However, the analysis revealed no significant correlation between elevated thiol/disulfide parameters and IL-40 levels in GAD patients. In conclusion, the findings of our study suggest that IL-40 may serve as a potential biomarker candidate for GAD. A deeper understanding of the pathogenesis of GAD is critical for the development of novel targeted immunological or immunomodulatory therapies. Based on the findings of the current study, we advocate additional research to investigate the diagnostic efficacy of immune-based biomarkers in larger and more diverse samples.

Notes

Availability of Data and Material

The datasets generated during and/or analysed during the current study are available in the figshare repository (10.6084/m9.figshare.27255747).

Conflicts of Interest

The authors have no potential conflicts of interest to disclose.

Author Contributions

Conceptualization: all authors. Data curation: Ülker Atılan Fedai, İsmail Koyuncu, Sıdıka Bziki Çetin. Formal analysis: Ülker Atılan Fedai, İsmail Koyuncu, Sıdıka Bziki Çetin. Writing—original draft: Öznur Akil, Ülker Atılan Fedai. Writing—review & editing: all authors.

Funding Statement

None

Acknowledgments

None

Figure 1.
Receiver operating characteristic (ROC) curve for serum IL-40 levels in discriminating generalized anxiety disorder patients from healthy controls.
pi-2025-0150f1.jpg
Table 1.
Comparison of demographic and laboratory findings among the patient group with control groups
Variable GAD (N=44) HC (N=44) p
Sex 0.197
 Male 16 (36.4) 22 (50.0)
 Female 28 (63.6) 22 (50.0)
Age (yr) 35.59±11.37 33.47±9.47 0.346
Marital status 0.338
 Married 30 (68.2) 34 (77.3)
 Unmarried 14 (31.8) 10 (22.7)
BMI (kg/m2) 25.39±3.39 25.54±4.73 0.869
Family history 0.044
 Yes 8 (18.2) 2 (4.5)
 No 36 (81.8) 42 (95.5)
Disease duration (mon) 12 (6-36)
HAM-A 24.91±5.88
IL-40 (pg/mL) 21.69±10.16 11.23± 4.17 <0.001
 Male 22.26±7.68 12.15±3.95 <0.001
 Female 21.36±11.47 10.31±4.27 <0.001
CRP (mg/L) 0.55 (0.07-0.8) 0.18 (0.00-0.46) 0.011
NT (μmol/L) 305.73±65.43 366.73±72.30 <0.001
TT (μmol/L) 348.03±68.22 402.23±74.68 0.001
DS (μmol/L) 21.15±7.10 17.75±7.02 0.027
DS/NT (%) 7.17±2.77 5.07±2.39 <0.001
DS/TT (%) 6.17±2.06 4.52±1.89 <0.001
NT/TT (%) 87.65±4.13 90.95±3.79 <0.001

Values are presented as number (%) or mean±standard deviation.

GAD, generalized anxiety disorder; HC, healthy control; BMI, body mass index; HAM-A, Hamilton Anxiety Rating Scale; CRP, C-reactive protein; TT, total thiol; DS, disulfide; NT, native thiol.

Table 2.
Correlation between IL-40 serum levels and demographic and laboratory findings
1 2 3 4 5 6 7 8 9 10 11 12
1. IL-40 1
2. Age -0.307* 1
0.043
3. BMI -0.137 0.326* 1
0.375 0.031
4. Disease duration 0.336* 0.034 -0.018 1
0.026 0.826 0.909
5. HAM-A scores 0.329* 0.059 -0.016 0.227 1
0.029 0.702 0.920 0.138
6. CRP 0.328* -0.233 -0.048 0.342* -0.024 1
0.030 0.128 0.759 0.023 0.878
7. NT -0.178 0.277 0.071 -0.128 -0.051 -0.273 1
0.247 0.069 0.648 0.407 0.744 0.073
8. TT -0.138 0.245 0.029 -0.064 -0.165 -0.285 0.978** 1
0.373 0.109 0.852 0.679 0.284 0.061 <0.001
9. DS 0.160 -0.098 -0.187 0.340* 0.088 -0.076 0.092 0.297 1
0.298 0.525 0.224 0.024 0.570 0.623 0.552 0.051
10. DS/NT 0.203 -0.190 -0.162 0.380* 0.122 0.098 -0.439** -0.249 0.826** 1
0.187 0.216 0.292 0.011 0.431 0.528 0.003 0.102 <0.001
11. DS/TT 0.217 -0.196 -0.179 0.380* 0.122 0.098 -0.440** -0.248 0.836** 0.998** 1
0.157 0.202 0.246 0.011 0.431 0.528 0.003 0.104 <0.001 <0.001
12. NT/TT -0.217 0.196 0.179 -0.380* -0.122 -0.098 0.440** 0.248 -0.836** -0.998** -1.00** 1
0.157 0.202 0.246 0.011 .0431 0.528 0.003 0.104 <0.001 <0.001 <0.001

* p<0.05;

** p<0.01.

BMI, body mass index; CRP, C-reactive protein; HAM-A, Hamilton Anxiety Rating Scale; NT, native thiol, μmol/L; TT, total thiol, μmol/L; DS, disulfide, μmol/L; DS/NT, disulfide/native thiol%; DS/TT, disulfide/total thiol%; NT/TT, native thiol/total thiol.

Table 3.
ROC analysis of serum IL-40 as discriminators between GAD patients and healthy controls
Variables Cut-off values (pg/mL) Area under the curve Standard error Sensitivity (%) Specificity (%) p 95% CI
IL-40 13.34 0.871 0.037 81.8 77.3 <0.001 0.799-0.943

ROC, receiver operating characteristic; IL-40, interleukin-40; GAD, generalized anxiety disorder; CI, confidence interval.

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