Skip to main content

Serum levels of interleukin-33 and mesencephalic astrocyte derived neurotrophic factors in patients with major depressive disorder: a cross-sectional comparative design

Abstract

Background

Major depressive disorder (MDD) is a debilitating health condition that has significant morbidity and mortality rates. Depression can be caused due to social, biological, environmental, psychological, and genetic factors. A few biological processes have been proposed as the pathophysiological pathways of depression. Neurotrophic factors and inflammatory cytokines have been linked to depression. Thus, we aimed to investigate the serum interleukin-33 (IL-33) and mesencephalic astrocyte-derived neurotrophic factor (MANF) in MDD patients and corresponding healthy controls (HCs).

Method

This study involved the inclusion of 129 MDD patients and 125 HCs matched by sex and age. A psychiatrist evaluated the study participants following DSM-5 criteria. The severity of the illness was assessed utilizing the Hamilton Depression Rating Scale (Ham-D). The serum concentrations of IL-33 and MANF were measured using enzyme-linked immunosorbent assay (ELISA) kits.

Results

The mean serum levels of IL-33 were decreased (159.12 ± 6.07 pg/ml vs. 180.60 ± 8.64 pg/ml, p = 0.042), and the MANF levels were increased (5.40 ± 0.19 ng/ml vs. 4.46 ± 0.21 ng/ml, p = 0.001) in MDD patients when compared to HCs.

Conclusions

The current study proposes that lower IL-33 and higher MANF serum levels are associated with MDD progression and depression severity. These biomarkers could be used as risk assessment tools for MDD. We recommend more investigation, including a significant population, to determine the precise function of IL-33 and MANF in depression.

Peer Review reports

Background

Major depressive disorder (MDD) is a mental health status with persistent low mood and loss of interest in doing regular activities. Depression results from intricate interactions between environmental, biological, genetic, and epigenetic factors [1,2,3,4,5]. The development of MDD is also influenced by biological, social, and psychological variables [6,7,8,9]. According to the DSM-5, individuals have MDD if they display depressive, noticeable symptoms daily for at least two weeks or more. These are low mood, decreasing interest or enjoyment, appetite, weight, concentration changes, sleeping problems, lack of energy, guilty feelings, and recurrent suicidal thoughts [10,11,12]. It is a disease of primary care that goes undiagnosed far too frequently. According to National Institutes of Mental Health (NIMH) surveys, 70% of depressed people do not receive medical treatment for their condition. In later life, depression is a frequent illness linked to more extended periods of incapacity, higher costs, and worsening health outcomes [13]. Patients with depression have a higher level of functional impairment than people with chronic medical conditions like hypertension, diabetes, arthritis, or coronary artery disease [14]. Globally, MDD impacts 350 million people and is projected to become a leading cause of functional disability. It affects approximately 6% of the world’s population annually, with a higher prevalence in women [15,16,17]. In China and South Korea, MDD rates are 2% and 6.7%, contrasting with 21% in Chile and France. Europe shows the highest MDD prevalence, while Asia has the lowest [18,19,20,21]. In Bangladesh, a 2003–2005 survey disclosed MDD affecting 4.6% of adults, with a 45% higher likelihood of women lacking childcare, outside jobs, or alternative income sources [2223].

Numerous biological processes have been identified, including alteration in systems related to dopamine, noradrenaline, serotonin, and glutamate, alteration in the hypothalamic-pituitary-adrenal (HPA) axis, an increase in inflammation, vascular alterations, along with impaired neuroplasticity, which are some potential pathophysiological causes of depression [24,25,26,27]. These suggested processes all interact with one another and are closely connected. One important concept for the pathogenesis of depression is the monoamine hypothesis, which claims that depression eventually results from alterations in the amounts of at least one monoamine, i.e., norepinephrine, serotonin, and dopamine [28]. Also, it has been discovered that in the progression of depressive disorders, neurotrophic factors play a part [29]. Moreover, researchers have looked into the fundamental processes through which cytokines may influence depression. In general, it has been shown that cytokines may reach the brain and interfere with almost all pathophysiological aspects of depression. Nuclear factor kappa B (NF-κB) was discovered as a crucial mediator at the blood-brain barrier, which could potentially communicate with the peripheral inflammatory signals of the central nervous system (CNS). According to a study, specific cell types can be activated by peripheral cytokine signals that enhance central inflammatory responses in the human brain. MDD and other neuropsychiatric diseases have been included in the recognition that inflammation could be the reason behind the development of these diseases. Increased inflammatory cytokines and other peripheral blood biomarkers were observed in MDD patients [30]. Increased inflammation does not occur in every MDD patient, indicating that those who belong to certain depressed groups, such as those who have pre-existing cognitive and genetic vulnerabilities or histories of trauma, may exhibit MDD caused by inflammation [31].

A few studies have been conducted to determine the relationship between interleukin-33 (IL-33) and MDD. According to several studies, the serum IL-33 levels in depressive and other psychiatric disorder patients were higher when compared to healthy controls (HCs) [31, 32]. Another study concluded that the serum levels of IL-33, a pro-inflammatory cytokine, were elevated in depressive episodes [33]. An increase in neuroimmune gene expression occurred due to early-life stress. Such stress involves astrocytes and endothelial cells secreting IL-33. This cytokine was found to interfere with a heterodimeric complex consisting of interleukin-1 receptor accessory protein (IL-1RAcP) and tumorigenicity 2 (ST2). ST2 receptor to encourage the production of chemokines and other cytokines. By altering the effect of regulation-related neural circuits, IL-33 may directly or by instigating the production of MDD risk moderating chemokines or cytokines, IL-33 may indirectly affect the risk of MDD [31].

On the other hand, mesencephalic astrocyte-derived neurotrophic factor (MANF) is one form of the novel neurotrophic factor and has been found to have cytoprotective effects in neurological disorders. MANF can shield cells against endoplasmic reticulum (ER) stress, as demonstrated by several studies [34]. ER stress is the condition when unfolded proteins accumulate in the ER lumen, inducing pro-inflammatory responses and, ultimately, apoptotic cell death. Excessive ER stress plays a role in developing many diseases, including neurodegenerative disorders. A crucial transcriptional regulator known as NF-κB plays a vital role at the beginning of inflammation after IκB degradation. By blocking p65 from adhering to the promoter of its target genes, MANF suppresses the NF-κB signaling cascade. MANF constantly reduces the expression of NF-κB dependent genes. Therefore, by interacting with p65, MANF may be a unique suppressor of inflammation [35]. As it has already been proven that stress can act as a potential risk factor for depression and induce inflammation [36], by negatively inducing inflammation, MANF may reduce depression risk. According to the results of a separate study, in contrast to HCs, MDD patients exhibited a reduced MANF level [37].

Thus, it still needs to be understood how IL-33 and MANF affect the development and course of MDD. Due to the inconclusiveness of findings regarding the role of IL-33 and MANF in MDD, we intended to determine the serum levels of these biomarkers in MDD patients and HCs. Moreover, the severity of depression would be measured by the altered IL-33 and MANF levels, if any.

Methods

Study design and participants

This study is mainly designed as a cross-sectional study with comparative groups that recruited cases and controls from October 1, 2022, to November 30, 2022. The MDD patients were selected from the Psychiatric Department of Bangabandhu Sheikh Mujib Medical University, Bangladesh, while all HCs were selected from various parts of Dhaka. Our target populations were adult males and females aged 18 to 60. We included 129 MDD patients and 125 HCs matched for sex and age. The eligibility criteria for enrollment encompassed individuals who had been evaluated by an experienced professional in the field of psychiatry. Additionally, the clinical interviews administered by psychiatrists adhered to the diagnostic guidelines outlined in the DSM-5, ensuring a standardized and comprehensive approach to the assessment process. The Hamilton Depression Rating Scale (Ham-D) was used to assess the severity of depression. In a 17-items Ham-D rating scale, scores of 0–7, 8–13, 14–18, 19–22, and 23 or more are regarded as normal, mild depression, moderate depression, severe depression, and very severe depression, respectively [38]. The inclusion criteria for this study comprised MDD patients who had had depressive symptoms for at least two weeks and did not use any drug regarding those symptoms. The use of alcohol, unprescribed drugs during the previous six months, cardiac, hepatic, kidney, inflammatory disease history, and severe somatic disorders were all considered exclusion factors. We included those participants who did not take any antidepressant or antipsychotic medications for at least a week that may affect serum IL-33 and MANF levels. The study excluded pregnant people and those with comorbidities with other psychotic diseases. As a result, patients with other AXIS I diseases were also excluded. Patients with mutism, non-participation, or cognitive impairment were not allowed to participate in the study. Similar to our previous studies, a pre-structured questionnaire was employed for collecting the sociodemographic details of the research subjects [4, 7].

Blood sample collection, processing, and storage

A 5 ml blood sample was taken using the standard blood sampling techniques for additional laboratory testing. Blood was kept standing for one hour in a falcon tube to get clotted, then centrifuged at 1000 g for 15 min at 25oC to separate serum samples from blood samples. After centrifugation, serum was taken in an Eppendorf tube and stored at -80 °C. Commercially available Human IL-33 Picokine ELISA kits and Human MANF PicoKine ELISA kits (Boster Bio, USA) were used to determine the serum levels of IL-33 and MANF, respectively, for further analysis.

Analysis of samples

The entire procedure was carried out per the manufacturer’s instructions. First, we removed microplate strips from the plate frame, and then we filled the appropriate wells on a 96-well microplate with 100 µl each of the sample and standard solutions. After that, the plate was covered with plate sealer, and the plates were incubated for 120 min at 25 °C. Then, we removed the cover from the plates and discarded the liquids. Then, we added 100 µl of detection antibody for the respective cytokine to the specific wells. After sealing with plate sealer, we left the plates for incubation for 60 min at 37 °C. Then, the contents of each well were discarded, and 300 µl of wash buffer was used for three rinses. After that, 100 µl of the avidin-biotin-peroxidase complex was added to each well, and then all the plates were incubated at 25 °C for 40 min. After discarding the liquids, each plate was washed five times in a row using 300 µl of wash buffer. Before leaving the plates for incubation in the dark at room temperature for 30 min, 90 µl of the color-developing agent was added to each well. Lastly, 100 µl of stop solution was added to complete the process. At last, absorbance was measured at 450 nm immediately. We calculated the serum IL-33 level as pg/ml and the serum MANF level as ng/ml.

Statistical analysis

Microsoft Excel 2019 and IBM SPSS version 25.0 were utilized for data processing and analysis, respectively. In order to compare the study’s parameters between study groups, an independent sample t-test and a chi-square test were used. Also, associations among serum levels of biomarkers and clinical variables were analyzed by Pearson correlation coefficient analysis. The differences in serum IL-33 and MANF levels between the groups were shown by error bar graphs. Besides, in order to demonstrate the relationships between IL-33 and MANF levels in the serum and Ham-D scores, we constructed scatter plot graphs. A significant p-value was set at p < 0.05.

Results

Characteristics of the study participants

We presented the sociodemographic characteristics of all the study subjects in Table 1. Female MDD patients constituted 73.65%, with 26.35% being male; in HCs, females were 73.60%, and males were 26.40%. Predominantly in both groups, participants were between the ages of 18 and 25 (38.76% and 37.60%, respectively). Regarding educational background, 41.87% of patients completed the secondary level, while 46.40% of HCs graduated. In this study, most patients and HCs lived in urban areas. Compared to HCs (68.80%), married participants were in a higher proportion of MDD patients (68.22%). Most study participants belonged to the medium economic class (62.02% MDD patients and 57.60% HCs). Notably, 39.53% of MDD patients were housewives, 51.94% of patients had dealt with MDD before, and 75.19% had no family history of MDD. Nonsmokers were predominant in both groups (93.02% patients, 96.00% HCs), with over 50.00% having a normal BMI.

Table 1 Socio-demographic profile of the study population

Clinical profiles and laboratory findings

The clinical outcome and laboratory findings of the study subjects are presented in Table 2. We observed lower serum IL-33 levels in MDD patients (159.12 ± 6.07 pg/ml) compared to HCs (180.60 ± 8.64 pg/ml) (p = 0.042). Compared to male MDD patients, female MDD patients had more significant changes in serum IL-33 levels. We also found higher serum levels of MANF in MDD patients (5.40 ± 0.19 ng/ml) than in HCs (4.46 ± 0.21 ng/ml) (p < 0.001). We also observed significantly higher mean serum MANF concentrations in male (4.99 ± 0.37 ng/ml) MDD patients compared to healthy male controls (3.13 ± 0.30 ng/ml). The alterations in serum IL-33 and MANF levels have been displayed graphically in Fig. 1. We observed the alteration of serum IL-33 and MANF with the severity scores in MDD patients from the sex-specific scatter plot graphs (Fig. 2). The best fit lines in Figure indicate the relationships among different data points. Still, there was no significant association between the severity of MDD and this alteration. We observed that depression was more severe in female MDD patients than in male MDD patients. Moreover, we didn’t observe any significant association between altered serum IL-33 and MANF levels among the patients.

Table 2 Clinical profile and laboratory findings of the study population
Fig. 1
figure 1

Comparison of serum interleukin-33 and mesencephalic astrocyte derived neurotrophic factor levels between MDD patients and healthy controls

Fig. 2
figure 2

Sex-specific scatter plot graphs showing the association of IL-33 and MANF levels with Ham-D scores of study participants

Discussion

In this investigation, we measured the serum IL-33 levels in MDD subjects and HCs. According to our analysis, IL-33 levels in MDD patients were significantly lower than in HCs. Few previous studies have tried to conclude the involvement of IL-33 in depression. Though it was observed that the serum levels of IL-33 were elevated not only in depressive patients but also in patients with other psychiatric disorders [31,32,33], some studies found an attenuated anti-inflammatory action of IL-33, which is aligned with our study finding of the lower level of IL-33 in patients [39, 40]. The role of inflammation in MDD has been observed, and inflammation has been revealed to be a critical factor in the development of depression [39, 41]. The inflammatory responses to depression are mediated by a wide variety of peripheral biomarkers. Oxidative stress markers, altered neurotrophic levels, a change in pro-inflammatory cytokine levels, neurotoxic metabolites of tryptophan degradation, etc., are some of them [42]. Cytokine-mediated immune activation is connected to the pathophysiology of depression by several mechanisms, including kynurenine pathway activation [41, 43], hypothalamic-pituitary-adrenal axis activation [42, 44], reuptake and release of neurotransmitters [45], hyperexpression of serotonin transporters [46], decreased neuronal growth factors [47], and neurodegeneration [48]. These studies might prove the involvement of IL-33 in depression, though the exact association could not be concluded.

On the other hand, this study also measured serum MANF levels. We found that serum MANF levels were significantly higher in MDD patients than in HCs. The differences in serum MANF levels between male subjects were also found to be statistically significant, while in the case of female subjects, such differences were not significant. These findings suggest that the role of MANF in causing depression is more prominent in men than women. Until now, the function of MANF in causing mental illness has not been thoroughly investigated in many studies. A study revealed that patients with Parkinson’s disease showed significantly higher levels of MANF than HCs [49]. Another study has demonstrated that MANF acts as a regulator of lipid metabolism [37]. A few studies in recent years have revealed that lipid abnormalities may be crucial to the pathogenesis of MDD [50]. So, MANF might have a role in connecting hypolipidemia with MDD [37]. A study concluded that low-density lipoprotein cholesterol (LDL-C) was found to be higher in MDD patients than HCs [51], and another study found higher serum MANF levels in patients with hyperlipidemia along with high levels of LDL-C [52]. So, there might be an association between high serum MANF level and the progression of depression. There hasn’t been enough investigation into how MANF affects depression, but its association with depression could be predicted from these study findings. Here, our investigation tried to correlate the serum concentration of MANF with MDD. According to our knowledge, this is the first study investigating serum IL-33 and MANF levels among Bangladeshi MDD patients and we observed altered serum levels of these biological markers were found to be associated with MDD.

Multiple previous studies and our own have demonstrated an association between MDD, the influence of pro-inflammatory cytokines, and elevated LDL-C levels [53,54,55]. Increasing the anti-inflammatory function of cytokines and decreasing LDL-C levels can, therefore, aid in treating MDD. When combined with other treatments for MDD, exercise can be highly effective. Physical activity can increase the anti-inflammatory activity of cytokines [56, 57] and decrease cholesterol levels, decreasing MANF levels. Consequently, physical activity may aid in achieving an optimal serum level of MANF and IL-33 and their desired action [40, 58,59,60], which will aid in treating and preventing MDD.

Studies investigating IL-33 and MANF in the serum of MDD patients are limited, and most of them have produced contradictory results. The serum IL-33 and MANF levels were analyzed in MDD patients and HCs under the same environmental conditions. Therefore, we anticipate the current investigation’s results will contribute to assess the risk of developing MDD. This study’s outcomes will help us comprehend the pathophysiology of MDD more appropriately. Besides, it will also assist in assessing the risk of depression. These findings may help psychiatrists to understand the pathophysiology of depression. Consequently, these altered markers will be helpful for clinicians as early risk assessment tools to evaluate depression risks.

Limitations

The current study has a few limitations that should be considered. Firstly, the entire neuroinflammatory process of MDD cannot be accurately represented by measuring only IL-33 and MANF levels. Secondly, we did not consider the effect of lifestyle, dietary supplementation, or treatment on the analyzed parameters in the present investigation. In the same population, it would be appropriate to measure other parameters. Through this study, in individuals with MDD, we could not observe treatment responses or changes in IL-33 and MANF levels over time. To obtain better findings, we recommend additional research using more samples.

Conclusion

Based on the results of the current investigation, associations between altered serum IL-33 and MANF levels and the pathophysiology of MDD have been noticed. MDD patients have reduced serum concentrations of IL-33 and elevated serum concentrations of MANF compared to HCs, according to this study. Hence, the altered serum IL-33 and MANF levels may indicate the development of MDD. However, based on the results of this study, we recommend further investigation to determine the impact of the aforementioned markers on depression using larger and more homogeneous samples.

Data availability

Data supporting our findings are available from the corresponding author on reasonable request.

Abbreviations

BMI:

Body mass index

BSMMU:

Bangabandhu Sheikh Mujib Medical University

DSM-5:

Diagnostic and statistical manual of mental disorders, 5th edition

ELISA:

Enzyme-linked immunosorbent assay

Ham-D:

Hamilton depression rating scale

HCs:

Healthy controls

HPA:

Hypothalamic-pituitary-adrenal

IL-33:

Interleukin-33

MANF:

mesencephalic astrocyte derived neurotrophic factor

MDD:

Major depressive disorder

SPSS:

Statistical package for the social sciences

References

  1. Das R, Emon MPZ, Chowdhury SF, Huque S, Zahan T, Islam MR. Evaluation of serum glial cell line-derived neurotrophic factor in Bangladeshi major depressive disorder patients. Cureus. 2019;11(11):e6081. https://0-doi-org.brum.beds.ac.uk/10.7759/cureus.6081. Published 2019 Nov 6.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Żurawek D, Turecki G. The miRNome of Depression. Int J Mol Sci. 2021;22(21):11312. Published 2021 Oct 20. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms222111312.

  3. Islam MR, Tushar MI, Tultul PS, et al. Problematic internet use and depressive symptoms among the school-going adolescents in Bangladesh during the COVID-19 pandemic: a cross-sectional study findings. Health Sci Rep. 2022;6(1):e1008. https://0-doi-org.brum.beds.ac.uk/10.1002/hsr2.1008. Published 2022 Dec 22.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Proma MA, Daria S, Nahar Z, Ashraful Islam SM, Bhuiyan MA, Islam MR. Monocyte chemoattractant protein-1 levels are associated with major depressive disorder. J Basic Clin Physiol Pharmacol. 2022;33(6):735–41. https://0-doi-org.brum.beds.ac.uk/10.1515/jbcpp-2021-0132. Published 2022 Jan 5.

    Article  CAS  PubMed  Google Scholar 

  5. Das R, Emon MPZ, Shahriar M, et al. Higher levels of serum IL-1β and TNF-α are associated with an increased probability of major depressive disorder. Psychiatry Res. 2021;295:113568. https://0-doi-org.brum.beds.ac.uk/10.1016/j.psychres.2020.113568.

    Article  CAS  PubMed  Google Scholar 

  6. Daria S, Proma MA, Shahriar M, Islam SMA, Bhuiyan MA, Islam MR. Serum interferon-gamma level is associated with drug-naïve major depressive disorder. SAGE Open Med. 2020;8:2050312120974169. https://0-doi-org.brum.beds.ac.uk/10.1177/2050312120974169. Published 2020 Nov 20.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ali S, Nahar Z, Rahman MR, Islam SMA, Bhuiyan MA, Islam MR. Serum insulin-like growth factor-1 and relaxin-3 are linked with major depressive disorder. Asian J Psychiatr. 2020;53:102164. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajp.2020.102164.

    Article  PubMed  Google Scholar 

  8. Islam S, Islam T, Nahar Z, et al. Altered serum adiponectin and interleukin-8 levels are associated in the pathophysiology of major depressive disorder: a case-control study. PLoS ONE. 2022;17(11):e0276619. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0276619. Published 2022 Nov 21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Riya S, Sultana S, Daria S, et al. Evaluation of serum lysophosphatidic acid and lysophosphatidylcholine levels in major depressive disorder patients. Cureus. 2020;12(12):e12388. https://0-doi-org.brum.beds.ac.uk/10.7759/cureus.12388. Published 2020 Dec 30.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Nishuty NL, Khandoker MMH, Karmoker JR, et al. Evaluation of serum Interleukin-6 and C-reactive protein levels in Drug-naïve major depressive disorder patients. Cureus. 2019;11(1):e3868. https://0-doi-org.brum.beds.ac.uk/10.7759/cureus.3868. Published 2019 Jan 11.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Rahman S, Shanta AA, Daria S, et al. Increased serum resistin but not G-CSF levels are associated in the pathophysiology of major depressive disorder: findings from a case-control study. PLoS ONE. 2022;17(2):e0264404. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0264404. Published 2022 Feb 25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Otte C, Gold SM, Penninx BW, et al. Major depressive disorder. Nat Rev Dis Primers. 2016;2:16065. https://0-doi-org.brum.beds.ac.uk/10.1038/nrdp.2016.65. Published 2016 Sep 15.

    Article  PubMed  Google Scholar 

  13. Almeida OP. Prevention of depression in older age. Maturitas. 2014;79(2):136–41. https://0-doi-org.brum.beds.ac.uk/10.1016/j.maturitas.2014.03.005.

    Article  PubMed  Google Scholar 

  14. Gutiérrez-Rojas L, Porras-Segovia A, Dunne H, Andrade-González N, Cervilla JA. Prevalence and correlates of major depressive disorder: a systematic review. Braz J Psychiatry. 2020;42(6):657–72. https://0-doi-org.brum.beds.ac.uk/10.1590/1516-4446-2020-0650.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Pan Z, Park C, Brietzke E, et al. Cognitive impairment in major depressive disorder. CNS Spectr. 2019;24(1):22–9. https://0-doi-org.brum.beds.ac.uk/10.1017/S1092852918001207.

    Article  PubMed  Google Scholar 

  16. Anjum S, Qusar MMAS, Shahriar M, Islam SMA, Bhuiyan MA, Islam MR. Altered serum interleukin-7 and interleukin-10 are associated with drug-free major depressive disorder. Ther Adv Psychopharmacol. 2020;10:2045125320916655. https://0-doi-org.brum.beds.ac.uk/10.1177/2045125320916655. Published 2020 Apr 28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Nahar Z, Sal-Sabil N, Sohan M, Qusar MS, Islam MR. Higher serum interleukin-12 levels are associated with the pathophysiology of major depressive disorder: a case-control study results. Health Sci Rep. 2022;6(1):e1005. https://0-doi-org.brum.beds.ac.uk/10.1002/hsr2.1005. Published 2022 Dec 24.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cho MJ, Seong SJ, Park JE, et al. Prevalence and correlates of DSM-IV Mental disorders in South Korean adults: the Korean epidemiologic catchment area study 2011. Psychiatry Investig. 2015;12(2):164–70. https://0-doi-org.brum.beds.ac.uk/10.4306/pi.2015.12.2.164.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bromet E, Andrade LH, Hwang I, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011;9:90. https://0-doi-org.brum.beds.ac.uk/10.1186/1741-7015-9-90. Published 2011 Jul 26.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Sohan M, Qusar MMAS, Shahriar M, Islam SMA, Bhuiyan MA, Islam MR. Association of reduced serum EGF and leptin levels with the pathophysiology of major depressive disorder: a case-control study. PLoS ONE. 2023;18(7):e0288159. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0288159. Published 2023 Jul 3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Markkula N, Zitko P, Peña S, Margozzini P, Retamal CP. Prevalence, trends, correlates and treatment of depression in Chile in 2003 to 2010. Soc Psychiatry Psychiatr Epidemiol. 2017;52(4):399–409. https://0-doi-org.brum.beds.ac.uk/10.1007/s00127-017-1346-4.

    Article  PubMed  Google Scholar 

  22. Rotenstein LS, Ramos MA, Torre M, et al. Prevalence of Depression, depressive symptoms, and suicidal ideation among medical students. JAMA. 2016;316(21):2214. https://0-doi-org.brum.beds.ac.uk/10.1001/jama.2016.17324.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Naheed A, Islam MS, Hossain SW, et al. Burden of major depressive disorder and quality of life among mothers of children with autism spectrum disorder in urban Bangladesh. Autism Res. 2020;13(2):284–97. https://0-doi-org.brum.beds.ac.uk/10.1002/aur.2227.

    Article  PubMed  Google Scholar 

  24. Islam MR, Ali S, Karmoker JR, et al. Evaluation of serum amino acids and non-enzymatic antioxidants in drug-naïve first-episode major depressive disorder. BMC Psychiatry. 2020;20(1):333. https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-020-02738-2. Published 2020 Jun 24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Emon MPZ, Das R, Nishuty NL, Shalahuddin Qusar MMA, Bhuiyan MA, Islam MR. Reduced serum BDNF levels are associated with the increased risk for developing MDD: a case-control study with or without antidepressant therapy. BMC Res Notes. 2020;13(1):83. https://0-doi-org.brum.beds.ac.uk/10.1186/s13104-020-04952-3. Published 2020 Feb 21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Islam MR, Islam MR, Ahmed I, et al. Elevated serum levels of malondialdehyde and cortisol are associated with major depressive disorder: a case-control study. SAGE Open Med. 2018;6:2050312118773953. https://0-doi-org.brum.beds.ac.uk/10.1177/2050312118773953. Published 2018 May 9.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Islam MR, Islam MR, Shalahuddin Qusar MMA et al. Alterations of serum macro-minerals and trace elements are associated with major depressive disorder: a case-control study. BMC Psychiatry. 2018;18(1):94. Published 2018 Apr 10. https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-018-1685-z.

  28. Dean J, Keshavan M. The neurobiology of depression: an integrated view. Asian J Psychiatr. 2017;27:101–11. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ajp.2017.01.025.

    Article  PubMed  Google Scholar 

  29. Levy MJF, Boulle F, Steinbusch HW, van den Hove DLA, Kenis G, Lanfumey L. Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression. Psychopharmacology. 2018;235(8):2195–220. https://0-doi-org.brum.beds.ac.uk/10.1007/s00213-018-4950-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732–41. https://0-doi-org.brum.beds.ac.uk/10.1016/j.biopsych.2008.11.029.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Kudinova AY, Deak T, Hueston CM, et al. Cross-species evidence for the role of interleukin-33 in depression risk. J Abnorm Psychol. 2016;125(4):482–94. https://0-doi-org.brum.beds.ac.uk/10.1037/abn0000158.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Ethemoglu O, Calık M, Koyuncu I, et al. Interleukin-33 and oxidative stress in Epilepsy patients. Epilepsy Res. 2021;176:106738. https://0-doi-org.brum.beds.ac.uk/10.1016/j.eplepsyres.2021.106738.

    Article  CAS  PubMed  Google Scholar 

  33. Ogłodek EA, Just MJ. The association between inflammatory markers (iNOS, HO-1, IL-33, MIP-1β) and depression with and without posttraumatic stress disorder. Pharmacol Rep. 2018;70(6):1065–72. https://0-doi-org.brum.beds.ac.uk/10.1016/j.pharep.2018.06.001.

    Article  CAS  PubMed  Google Scholar 

  34. Li-Na Z, Deng C, Da X, Si-Han C, Hai-Jiao W, Ling L. Mesencephalic astrocyte-derived neurotrophic factor and its role in Nervous System Disease. Neurol Sci. 2017;38(10):1741–6. https://0-doi-org.brum.beds.ac.uk/10.1007/s10072-017-3042-2.

    Article  PubMed  Google Scholar 

  35. Chen L, Feng L, Wang X, et al. Mesencephalic astrocyte-derived neurotrophic factor is involved in inflammation by negatively regulating the NF-κB pathway. Sci Rep. 2015;5:8133. https://0-doi-org.brum.beds.ac.uk/10.1038/srep08133. Published 2015 Feb 2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron. 2020;107(2):234–56. https://0-doi-org.brum.beds.ac.uk/10.1016/j.neuron.2020.06.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Xu K, Zheng P, Zhao S, et al. MANF/EWSR1/ANXA6 pathway might as the bridge between hypolipidemia and major depressive disorder. Transl Psychiatry. 2022;12(1):527. https://0-doi-org.brum.beds.ac.uk/10.1038/s41398-022-02287-0. Published 2022 Dec 30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Hamilton M. Development of a rating scale for primary depressive Illness. Br J Soc Clin Psychol. 1967;6(4):278–96.

    Article  CAS  PubMed  Google Scholar 

  39. Andoh A, Nishida A. Pro- and anti-inflammatory roles of interleukin (IL)-33, IL-36, and IL-38 in inflammatory bowel Disease. J Gastroenterol. 2023;58(2):69–78. https://0-doi-org.brum.beds.ac.uk/10.1007/s00535-022-01936-x.

    Article  CAS  PubMed  Google Scholar 

  40. Milovanovic M, Volarevic V, Radosavljevic G, et al. IL-33/ST2 axis in inflammation and immunopathology. Immunol Res. 2012;52(1–2):89–99. https://0-doi-org.brum.beds.ac.uk/10.1007/s12026-012-8283-9.

    Article  CAS  PubMed  Google Scholar 

  41. Kiecolt-Glaser JK, Derry HM, Fagundes CP. Inflammation: depression fans the flames and feasts on the heat. Am J Psychiatry. 2015;172(11):1075–91. https://0-doi-org.brum.beds.ac.uk/10.1176/appi.ajp.2015.15020152.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Neupane SP, Virtej A, Myhren LE, Bull VH. Biomarkers common for inflammatory periodontal Disease and depression: a systematic review. Brain Behav Immun Health. 2022;21:100450. https://0-doi-org.brum.beds.ac.uk/10.1016/j.bbih.2022.100450. Published 2022 Mar 14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Myint AM, Kim YK, Verkerk R, Scharpé S, Steinbusch H, Leonard B. Kynurenine pathway in major depression: evidence of impaired neuroprotection. J Affect Disord. 2007;98(1–2):143–51. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jad.2006.07.013.

    Article  CAS  PubMed  Google Scholar 

  44. Himmerich H, Binder EB, Künzel HE, et al. Successful antidepressant therapy restores the disturbed interplay between TNF-α system and HPA Axis. Biol Psychiatry. 2006;60(8):882–8. https://0-doi-org.brum.beds.ac.uk/10.1016/j.biopsych.2006.03.075.

    Article  CAS  PubMed  Google Scholar 

  45. Anisman H, Merali Z, Hayley S. Neurotransmitter, peptide and cytokine processes in relation to depressive disorder: comorbidity between depression and neurodegenerative disorders. Prog Neurobiol. 2008;85(1):1–74. https://0-doi-org.brum.beds.ac.uk/10.1016/j.pneurobio.2008.01.004.

    Article  CAS  PubMed  Google Scholar 

  46. Tsao CW, Lin YS, Chen CC, Bai CH, Wu SR. Cytokines and serotonin transporter in patients with major depression. Prog Neuropsychopharmacol Biol Psychiatry. 2006;30(5):899–905. https://0-doi-org.brum.beds.ac.uk/10.1016/j.pnpbp.2006.01.029.

    Article  CAS  PubMed  Google Scholar 

  47. Audet MC, Anisman H. Interplay between pro-inflammatory cytokines and growth factors in depressive illnesses. Front Cell Neurosci. 2013;7:68. https://0-doi-org.brum.beds.ac.uk/10.3389/fncel.2013.00068. Published 2013 May 10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Arioz BI, Tastan B, Tarakcioglu E, et al. Melatonin attenuates LPS-Induced Acute Depressive-Like behaviors and Microglial NLRP3 inflammasome activation through the SIRT1/Nrf2 pathway. Front Immunol. 2019;10:1511. https://0-doi-org.brum.beds.ac.uk/10.3389/fimmu.2019.01511. Published 2019 Jul 2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Galli E, Planken A, Kadastik-Eerme L, Saarma M, Taba P, Lindholm P. Increased Serum Levels of Mesencephalic Astrocyte-Derived Neurotrophic Factor in Subjects With Parkinson’s Disease. Front Neurosci. 2019;13:929. Published 2019 Sep 4. https://0-doi-org.brum.beds.ac.uk/10.3389/fnins.2019.00929.

  50. Katrenčíková B, Vaváková M, Waczulíková I, et al. Lipid Profile, Lipoprotein Subfractions, and fluidity of membranes in children and adolescents with depressive disorder: effect of Omega-3 fatty acids in a double-blind randomized controlled study. Biomolecules. 2020;10(10):1427. https://0-doi-org.brum.beds.ac.uk/10.3390/biom10101427. Published 2020 Oct 8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Sevincok L, Buyukozturk A, Dereboy F. Serum lipid concentrations in patients with comorbid generalized anxiety disorder and major depressive disorder. Can J Psychiatry. 2001;46(1):68–71. https://0-doi-org.brum.beds.ac.uk/10.1177/070674370104600110.

    Article  CAS  PubMed  Google Scholar 

  52. Fu J, Malale K, Luo X, et al. The relationship of mesencephalic astrocyte-derived neurotrophic factor with hyperlipidemia in patients with or without type 2 Diabetes Mellitus. Horm (Athens). 2021;20(3):537–43. https://0-doi-org.brum.beds.ac.uk/10.1007/s42000-021-00272-8.

    Article  Google Scholar 

  53. Sarker R, Qusar MMAS, Islam SMA, Bhuiyan MA, Islam MR. Association of granulocyte macrophage colony-stimulating factor and interleukin-17 levels with obsessive-compulsive disorder: a case-control study findings. Sci Rep. 2023;13(1):18976. https://0-doi-org.brum.beds.ac.uk/10.1038/s41598-023-46401-8. Published 2023 Nov 3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Akter S, Emon FA, Nahar Z et al. Altered IL-3 and lipocalin-2 levels are associated with the pathophysiology of major depressive disorder: a case-control study. BMC Psychiatry. 2023;23(1):830. Published 2023 Nov 13. https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-023-05354-y.

  55. Nayem J, Sarker R, Roknuzzaman ASM, et al. Altered serum TNF-α and MCP-4 levels are associated with the pathophysiology of major depressive disorder: a case-control study results. PLoS ONE. 2023;18(11):e0294288. https://0-doi-org.brum.beds.ac.uk/10.1371/journal.pone.0294288. Published 2023 Nov 15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Islam MR, Sohan M, Daria S, et al. Evaluation of inflammatory cytokines in drug-naïve major depressive disorder: a systematic review and meta-analysis. Int J Immunopathol Pharmacol. 2023;37:3946320231198828. https://0-doi-org.brum.beds.ac.uk/10.1177/03946320231198828.

    Article  PubMed  Google Scholar 

  57. Ignácio ZM, da Silva RS, Plissari ME, Quevedo J, Réus GZ. Physical Exercise and Neuroinflammation in Major Depressive Disorder. Mol Neurobiol. 2019;56(12):8323–35. https://0-doi-org.brum.beds.ac.uk/10.1007/s12035-019-01670-1.

    Article  CAS  PubMed  Google Scholar 

  58. Salsabil L, Shahriar M, Islam SMA, Bhuiyan MA, Qusar MS, Islam MR. Higher serum nerve growth factor levels are associated with major depressive disorder pathophysiology: a case-control study. J Int Med Res. 2023;51(4):3000605231166222. https://0-doi-org.brum.beds.ac.uk/10.1177/03000605231166222.

    Article  CAS  PubMed  Google Scholar 

  59. Suhee FI, Shahriar M, Islam SMA, Bhuiyan MA, Islam MR. (2023). Elevated serum IL-2 levels are Associated with Major Depressive disorder: a case-control study. Clinical pathology (Thousand Oaks, Ventura County, Calif.), 16, 2632010X231180797. https://0-doi-org.brum.beds.ac.uk/10.1177/2632010X231180797.

  60. Nahar Z, Monisha ST, Qusar MS, Islam MR. Evaluation of serum interleukin-1 receptor antagonist levels in major depressive disorder: a case-control study. Health Sci Rep. 2023;6(4):e1175. https://0-doi-org.brum.beds.ac.uk/10.1002/hsr2.1175.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors are thankful to all the participants of this study. They are also thankful to the staff and physicians at the Department of Psychiatry, BSMMU, for their technical and administrative support. The authors are also thankful for the laboratory support provided by the Department of Pharmacy, University of Asia Pacific, Dhaka Bangladesh.

Funding

There was no funding to conduct this study.

Author information

Authors and Affiliations

Authors

Contributions

ZN, DTN and MRI Conceived, designed, conducted, and analyzed the experiment, performed computational analyses and data editing, wrote, and revised the manuscript. ASMR, MS, and SI performed data editing and revised the manuscript. ZN and MMASQ Analyzed the experiment. ASMR and MRI Performed computational analyses and data editing. MRI Supervised the whole work and gave important intellectual content in the manuscript.

Corresponding author

Correspondence to Md. Rabiul Islam.

Ethics declarations

Ethics approval and consent to participate

This work received ethical approval from the research ethics committee at the University of Asia Pacific (UAP/REC/2022/204). Before the participation, we briefed each participant regarding the objective of this investigation and their involvement. Also, we obtained an informed written consent from each participant before their participation. We did not include any minors in this study. The Declaration of Helsinki was followed in every step to conduct this entire study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nahar, Z., Nowshin, D.T., Roknuzzaman, A.S.M. et al. Serum levels of interleukin-33 and mesencephalic astrocyte derived neurotrophic factors in patients with major depressive disorder: a cross-sectional comparative design. BMC Psychiatry 24, 47 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-023-05463-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-023-05463-8

Keywords