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DOI: 10.18413/2658-6533-2022-8-2-0-2 УДК 616.895.87:575.224.22
The association of inflammatory status and immunological parameters with single-nucleotide polymorphisms of cytokine and Toll-like receptor genes in patients with
schizophrenia
Irina K. Malashenkova1'2 , Vadim L. Ushakov3'4'5 , Sergey A. Krynskiy1 , Daniil P. Ogurtsov1 , Nikita A. Khailov1 , Svetlana N. Moskvina1 , Natalia V. Zakharova4 , Ekaterina I. Chekulaeva1 , Nikolay A. Didkovsky2 ,
Georgiy P. Kostyuk4
1 Kurchatov Institute, 1 Akademik Kurchatov Sq., Moscow, 123182, Russia 2 Federal Research and Clinical Center of Physical-Chemical Medicine, Federal Medical Biological Agency, 1a Malaya Pirogovskaya St., Moscow, 119435, Russia
3 Moscow Engineering Physics Institute, 31 Kashirskoye Highway, Moscow, 115409, Russia
4 Alekseev Psychiatric Clinical Hospital No. 1, 2 Zagorodnoye Highway, Moscow, 117152, Russia 5 Lomonosov Moscow State University, 1 Leninskie Gory, Moscow, 119991, Russia Corresponding author: Irina K. Malashenkova ([email protected])
Abstract
Background: Schizophrenia is a multifactorial and clinically polymorphic disease with a significant hereditary component. The study of the influence of functionally significant polymorphisms of the genes regulating immune response and inflammation on the immune parameters in patients with schizophrenia is relevant for the development of new methods for predicting the course of the disease and finding new therapy targets. The aim of the study: To study the association of polymorphisms in cytokine and Toll-like receptor genes with the serum levels of immune mediators in patients with schizophrenia. Materials and methods: 95 patients diagnosed with schizophrenia and 99 healthy volunteers were recruited into the study. Polymorphisms of genes regulating the immune response (IL1B rs1143627, IL4 rs2243250, IL2 rs2069762, IL10 (rs1800896, rs1800872, rs1800871), IFNL rs8099917, IFNL rs12979860, TLR9 rs5743836, TLR9 rs352140, TLR3 rs3775291), the serum level of major cytokines and markers of systemic inflammation were determined. Results: The patients were found to have elevated levels of key pro-inflammatory cytokines IL-8 and IL-17A and other markers of systemic inflammation, as well as an increase in the content of antigen-antibody complexes in the bloodstream. Increased frequency of IL10 gene polymorphisms (rs1800896, rs1800872, rs1800871) was revealed in the patients with schizophrenia. A relationship between IL-6 and IL-8
levels and the carriage of IL1B T-511C (rs16944), IL10 1082A (rs1800896), IL10 592 C>A (rs1800872) and TLR3 Leu412Phe (G/A) (rs3775291) single nucleotide polymorphisms was found. Conclusion: The revealed associations may indicate a role of SNPs in cytokine and Toll-like receptor genes in modulating the network genetic interactions underlying certain immunological endopheno-types in the patients. Based on the results of this work and literature data, it is important to further study the relationship of immunogenetic markers in schizophrenia with the immune profiles of the disease and its clinical manifestations, including in larger samples of patients. Keywords: cytokines; inflammation; single nucleotide polymorphisms; schizophrenia; Toll-like receptors
For citation: Malashenkova IK, Ushakov VL, Krynskiy SA, et al. The association of inflammatory status and immunological parameters with single-nucleotide polymorphisms of cytokine and Tolllike receptor genes in patients with schizophrenia. Research Results in Biomedicine. 2022;8(2): 148-163. DOI: 10.18413/2658-6533-2022-8-2-0-2
Introduction. Neuroimmune interactions mediate homeostasis and normal functioning of both the central nervous system (CNS) and the immune system with the participation of neurotransmitters, hormones and cytokines produced in the cells of these systems. Changes in the signal pathways that provide cooperation between the immune system and the nervous system are involved in the pathogenesis of a number of non-infectious diseases, including mental disorders [1].
Schizophrenia is a multifactorial disease with a significant hereditary component (more than 60% of the disease risk according to twin studies). There is evidence showing the critical role of immune disorders and neuroinflammation in the pathogenesis of various forms of schizophrenia [2]. In recent years, a number of works confirm the role of systemic inflammation in the development of this disease [3]. Numerous clinical, postmortem, biomedical, genetic and experimental studies, including cell and animal models, have shown that schizophrenia is accompanied by neuroinflammation and systemic immune disorders [4, 5, 6]. According to the results of large genome-wide association studies (GWAS), single-nucleotide polymorphisms in genes regulating the functions of the immune system have significant associations with schizophrenia risk [7, 8]. Patients with psychotic episode have increased levels of inflammation markers in the cerebro-spinal fluid and systemic circulation, and an increased expression of proteins involved in the
immune response and inflammation in the pre-frontal cortex [4-7]. According to indirect evidence, schizophrenia associated with neuroinflammation can account for up to 40% of cases, but more convincing studies are needed [2].
Maes et al., who studied the protein-protein interaction network in patients with firstepisode schizophrenia, have shown that schizophrenia is characterized by prominent changes in the nuclear factor-KB signaling related to inflammation, in Toll-like receptor 4 (TLR4) signaling mediating the immune response to bacterial infections and in JAK/STAT (Janus kinases/signal transducer and activator of transcription) pathways mediating the effects of cytokines [8]. According to the authors, these data suggest that schizophrenia is a systemic neuro-immune disorder that is triggered by infectious stimuli and induces neuro-immune toxicity cascades overex-pressed in people that have hereditary predisposition such as reduced anti-inflammatory protection and altered Toll-like receptor signaling. It is now generally accepted that the genetic component of the risk of schizophrenia is determined by the contribution of polymorphisms of many genes, with each polymorphism having only a small effect on hereditary predisposition. Moreover, all known genetic markers of schizophrenia in total provide only less than 50% of the family predisposition which is actually observed in the population according to the data of twin and genealogical
studies, indicating the important role of the environment in the realization of hereditary risk
[9].
Polymorphisms of the genes regulating the immune response are among the most important genetic risk factors of schizophrenia [10-17]. Some of the strongest associations with the risk of the disease are observed for the major histocompatibility complex (MHC) locus, and, in particular, for the complement component C4 gene located within this locus [11]. In addition, results of GWAS studies indicate a significant relationship with the risk of schizophrenia for at least 39 genes that regulate the immune response and are located outside the MHC locus. More than 30 of these genes are expressed in both the brain and immune cells [18]. It was revealed that a number of im-munogenetic markers (at least 12 out of 39 markers outside the MHC locus) are common for schizophrenia and other mental and neurological diseases, including bipolar disorder, anxiety disorder and amyotrophic lateral sclerosis [19]. Common genetic markers in schizophrenia and immune-mediated diseases including Crohn's disease, multiple sclerosis, rheumatoid arthritis, systemic lupus erythema-tosus, type 1 diabetes mellitus, and ulcerative colitis have also been found [20]. Interestingly, according to a GWAS study, most of the polymorphisms that occur with the highest frequency in schizophrenia affect the signal pathways specific to the functioning of B cells [21].
Schizophrenia is characterized by heterogeneity of symptoms, responses to treatment and outcomes, reflecting the existence of different subtypes of the disease, but clinical observations alone generally do not allow the identification of etiological and pathogenetic differences between these subtypes [22]. It has been demonstrated in a number of studies that immune disturbances are associated with severity and type of symptoms in the patients with schizophrenia. For example, the serum level of an important marker of systemic inflammation, IL-6, has been shown to correlate
with the severity of cognitive symptoms in outpatients with schizophrenia (r = -0.395) [23]. According to another study, the level of IL-6 decreased to normal values in hospitalized patients with schizophrenia after a course of an-tipsychotic therapy, and the decrease in IL-6 level correlated with a decrease in the positive and negative symptoms according to the PANSS scale [24]. In addition, there is evidence that an increase in the serum concentration of this cytokine is associated with morpho-metric changes in left lingual and left fusiform gyrus in patients with schizophrenia [25].
To search for new prognostic markers and targets for therapy, it is necessary to identify the causes of the development of immuno-logical changes in schizophrenia, and the research should include investigation of the genetic basis of various types of immune disorders in the patients. However, the associations of genetic factors with immune parameters in the patients with schizophrenia have not been studied sufficiently [26, 27].
The aim of the study was to study the possible associations of cytokine and Toll-like receptor gene polymorphisms with the immune parameters in patients with schizophrenia for the subsequent development of new prognostic methods and identification of new therapy targets.
Materials and Methods. 95 patients with paranoid schizophrenia were enrolled into the study. 56 of the patients were men and 29 of the patients were women, the average age of the patients was 26.77 ± 1.26 years. At the time of hospitalization, the patients had signs of Kandinsky-Clerambo syndrome: delusions of influence, pseudohallucinations and mental automatism. The diagnosis was confirmed by the compliance with the diagnostic criteria of schizophrenia (F20) of the International Classification of Diseases of the tenth revision (ICD-10). The demographic and clinical characteristics of the patients and of the volunteers of the control group are presented in Table 1.
Table 1
The social-demographic and clinical characteristics of the patients enrolled into the study
(n=95) and of the vo unteers of the control group (n=99)
Value/Groups Schizophrenia (n=95) Control (n=99) P
Age on the date of the assessment 26.8 ± 1.3 28.3 ± 2.6 p >0.05
Gender distribution
Male 56 (58.95%) 46 (46.46%) p >0.05
Female 39 (41.05%) 53 (53.54%)
Clinical characteristics
Mean duration of the disease 4.8 ± 1.1 - -
Mean age of onset of prodromal symptoms 18.0 ± 1.2 - -
Mean age of manifestation 23.1 ± 1.3 - -
PANSS (Positive and Negative Syndrome Scale) 95.2±4.5 36.0±1.9 p = 1x10-10 /pa=7.0*10-10
NSA-4 (4-Item Negative Symptom Assessment) 19.3±1.3 5.0±0.0 p = 3x10-8 /pa=1*10-7
BFCRS (Bush-Francis Catatonia Rating Scale) 6.6±1.5 0.0±0.0 p = 0.01 /pa=0.023
Blood sampling was done in the first days of hospitalization, after achieving reduction of the positive symptoms by antipsychotic therapy. The control group for the genetic study included 99 healthy volunteers, comparable to patients with schizophrenia in terms of gender and age, mean age 28.34 ± 2.56 years (53 women and 46 men). Exclusion criteria included somatic diseases in the phase of decompensation, signs of alcohol abuse and/or other substance use disorders, mental diseases other than schizophrenia, exacerbation of infectious, inflammatory and autoimmune diseases in the 2 months preceding the examination, pregnancy.
The study was approved by the local ethics committee of the National Research Center "Kurchatov Institute" (No. 5, 04/05/2017). All participants were familiarized with the details of the study and signed a voluntary informed consent sheet.
DNA extraction was performed using a set of reagents for RNA / DNA extraction from clinical material "AmpliPrime RIBO-prep" (AmpliSens, Moscow) according to the manufacturer's recommendations. This method is
based on lysis of cells and denaturation of cellular proteins using a lysis solution containing a chaotropic agent (guanidine thiocyanate), followed by precipitation of nucleic acids with isopropanol and their further extraction into the solution.
Determination of single nucleotide polymorphisms in IFNL, IL1B, IL2, IL4, TLR3, and TLR9 genes was carried out using reagent kits for polymerase chain reaction (PCR) analysis produced by "DNA-technology" and "Litekh" according to the manufacturer's recommendations.
To identify polymorphisms of IL1B (rsll43627 T-31C) and IL4 (rs2243250 C589T) genes, we used the method of poly-merase chain reaction with a fluorescent detection scheme in "real time". With a sample of isolated DNA, two amplification reactions were carried out in parallel with two pairs of allele-specific primers. The mixture contained an intercalating dye SYBR Green, the fluorescence intensity of which multiplies upon incorporation into the resulting double-stranded product.
To identify polymorphisms of the interferon X (IFNL) gene (rs8099917 T> G,
rs12979860 C> T), the polymerase chain reaction method with a fluorescent detection scheme in "real time" was used. Signaling probes containing fluorescent labels Fam and Hex were introduced into the mixture for amplification for each variant of the genetic polymorphisms to be detected. After the PCR, thermal melting of the duplexes was carried out, the change of fluorescence level was recorded and presented in the form of a graph. If the signaling probe was partially complementary to the target DNA, the melting temperature of such a duplex was lower than in the case of complete complementarity of the probe. The analysis of the results was carried out on the basis of the melting temperature of the signal probes.
IL2 rs2069762 T-330G, IL10 rs1800896 G-1082A, IL10 rs1800872 C-592A, IL10 rs1800871 C-819T, TLR9 rs5743836 T-1237C, TLR9 rs352140 G2848A, and TLR3 rs3775291 Leu412Phe single nucleotide polymorphisms were determined by PCR with electrophoretic detection of amplification products. Two amplification reactions were carried out in parallel with two pairs of allele-specific primers. Separation of PCR amplification products was carried out in 3% agarose gel. To visualize the PCR products in the gel, ethidium bromide solution was used as a dye.
Immunological studies were carried out in all patients of the main group and in 35 volunteers in the control group (mean age 27.1 ± 1.6 years; 13 men; 17 women). The systemic level of inflammation markers and the content of the main cytokines were determined by enzyme-linked immunosorbent assay (ELISA) using sets of reagents to detect human interferon-y (IFNy), human interleukin-1p (IL-1P), human interleukin-6, human interleukin-8, human interleukin-10, human interleukin-17, human tumor necrosis factor-a (TNFa) ( "Cy-tokin", Russia, St. Petersburg), a set of reagents for detection of cortisol in blood serum ("HEMA", Russia), a set of reagents for the detection of C-reactive protein (CRP) in blood serum ("HEMA", Russia), a set of reagents for the detection of circulating immune complexes (CIC) in blood serum ("CHEMA", Russia).
The software Excel (Microsoft, 2010) and STATISTICA 10 (Stat Soft, 2010) were used for statistical processing. The Shapiro-Wilk test was used to assess the normality of distribution. The results of immunological tests (continuous variables) were presented as medians with an interquartile range; when 2 groups were compared, the significance of differences was assessed using the Mann-Whitney test; when multiple groups were compared, the Kruskell-Wallis test was used with post-hoc pair-wise comparisons conducted using the Mann-Whitney test. The results of the clinical assessment (continuous variables) were presented as means ± 95% confidence interval and the Student's t-test was used to assess the significance of differences. For discrete variables, Fisher's exact test was used to assess the significance of differences if one of the expected values in contingency table was below 10, otherwise chi-squared test was used. The differences between the indicators were considered to be statistically significant at p <0.05. Benjamini-Hochberg procedure was used to correct for false discovery rate (FDR = 0.05). To assess the correlations, the Pearson correlation coefficient was used.
Results and Discussion
The levels of cytokines of innate and adaptive immunity and of systemic inflammation markers in patients with schizophrenia and in the control group.
The serum levels of inflammation markers, including C-reactive protein and circulating immune complexes, and of cortisol was significantly higher in the patients with schizophrenia than in healthy volunteers (Table 2). The level of the proinflammatory cytokine/chemokine IL-8/CCL8 was significantly higher in the patients than in the control group (p <0,05). The assessment of the level of the pro-inflammatory cytokines IL-1P and TNFa has shown there were no significant differences between patients with schizophrenia and healthy volunteers (Table 3). Although the difference in the levels of IL-6, an important inflammatory cytokine, between the patients and the control group was statistically significant, showing an increase in the content of IL-6 in the patients, the statistical power did not reach 0.8, so larger samples are needed to confirm this finding.
Table 2
The levels of systemic inflammation markers in the patients with schizophrenia _and in the control group__
Indicator Schizophrenia Control Significance of differences
C-reactive protein [mg/l] 3.3 [1.2; 17.3] 0.6 [0.4; 1.8] *p=1.4*10-4 /pa=4.2*10-4, power 0.97
Cortisol [nmol/l] 532.6 [449.7; 591.2] 449.7±64 [204.6; 508.8] *p=8.9x10-4 /pa=8.9x10-4, power 0.99
Circulating immune complexes [conventional units] 103.0 [73.0; 160.0] 75.0 [52.0; 93.0] *p=2.3x10-4 /pa=3.4x10-4, power 0.95
Note: * statistically significant differences between the groups according to Mann-Whitney U-test (p <0.05); pa - p value adjusted for multiple comparisons by Benjamini-Hochberg procedure
Table 3
The levels of cytokines of innate and adaptive immunity in the patients with schizophrenia _ and in the control group__
Indicator Schizophrenia Control Significance of differences
IL-1ß [pg/ml] 1.45 [0.55; 2.91] 1.23 [0.76; 1.70] p>0.05
TNFa [pg/ml] 1.79 [1.30; 3.08] 1.57 [1.34; 2.75] p>0.05
IL-6 [pg/ml] 8.77 [3.61; 15.53] 3.73 [1.96; 8.20] p=5.8*10-3 /pa=0.023, power 0.76
IL-8 [pg/ml] 37.54 [13.83; 94.15] 13.16 [8.33; 32.11] *p=0.01 /pa=0.026, power 0.93
IL-10 [pg/ml] 5.91 [2.96; 7.52] 3.93 [1.79; 6.97] p>0.05
IFNy [pg/ml] 49.73 [34.27; 129.66] 33.44 [19.38; 70.62] *p=0.015 /pa=0.03, power 0.64
IL-4 [pg/ml] 2.75 [1.39; 5.12] 3.89 [1.33; 7.19] p>0.05
IL-17A [pg/ml] >1 pg/ml in 35 patients; <1 pg/ml in 38 patients >1 pg/ml in 1 volunteer; <1 pg/ml in 15 volunteers ** **p=0.002 /pa=0.016, power 1.00
Note: * statistically significant differences between the groups according to Mann-Whitney U-test (p <0.05); ** significantly significant differences between the groups according to Fisher's exact test (p <0,05); pa - p value adjusted for multiple comparisons by Benjamini-Hochberg procedure.
These findings indicate that in schizophrenia there was an activation of the systemic inflammatory response and of the pituitary-hy-pothalamus-adrenal axis. An increase in the CIC content may indicate the activation of the formation of antigen-antibody complexes in the bloodstream, as well as disruption of their clearance.
Given the presence of systemic inflammation, including increased levels of IL-8, we also assessed the level of a key immunoregula-
tory cytokine, IL-10, in patients with schizophrenia. Its central function is to suppress inflammation and excessive immune activation. In the patient group, the content of this cytokine was increased (more than 5 pg/ml) in 20 out of 30 patients, and in the control group it increased only in three people; however, the differences turned out to be insignificant, which could be associated with the high variability of the IL-10 level in schizophrenic patients. In one third of the patients with normal IL-10 concentration, the content
of IL-6 or IL-8 or IL-1P was increased, which indicates suppression of immunoregulatory mechanisms in these patients.
The serum levels of a key Th2 cytokine, IL-4, did not differ significantly between the groups (Table 3). The level of IFNy, an important Th1 cytokine, was increased (more than 45 pg/ml) in 53 of 87 patients with schizophrenia and only in 6 of 19 healthy volunteers, and its level was significantly higher in schizophrenia (p <0.05), but the statistical power of the comparison did not reach 0.8, so larger samples are needed to confirm this finding. An increase in the level of IL-17A above 1 pg/ml was observed significantly more often in schizophrenia: in 35 out of 73 patients with schizophrenia and only in 1 out of 16 people of the control group (p <0.05 according to Fisher's exact test). IL-17A is the most important cytokine of the Th17 response, involved in the stimulation and maintenance of inflammation and autoimmune responses. It is implicated in
the pathogenesis of neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis, and glaucoma [28]. Of 35 patients with an increase in IL-17 levels (more than 1 pg/ml), only 7 had normal IFNy level (below 45 pg/ml). Thus, a significant proportion of schizophrenic patients had signs of excessive activation of the Th17 and Th1 responses.
Polymorphisms of cytokine and Toll-like receptor genes in patients with schizophrenia and in the control group.
The frequency of the studied polymorphisms was checked for compliance with the Hardy-Weinberg equilibrium. It was found that the Hardy-Weinberg law is fulfilled for all the studied polymorphisms.
Statistically significant differences in the frequency of SNPs of the IL10 gene between the patients and the control group were found (Table 4).
Table 4
The frequency of SNPs of cytokine and Toll-like receptor genes in patients with schizophrenia
depending on the age of manil estation and in t he control group
SNP Group N Homozygous for the first allele Heterozygous Homozygous for the second allele
N % N % N %
IL4 C-589T rs2243250 Manifestation of schizophrenia at the age of 26 or older 31 23 74,2 8 25,8 0 0,0
Manifestation of schizophrenia at the age of 25 or younger 56 31 55,4 16 28,6 9* 16,0
Control 89 61 68,5 25 28,1 3 3,4
IL2 T-330G rs2069762 Manifestation of schizophrenia at the age of 26 or older 29 17 58,6 10 34,5 2 6,9
Manifestation of schizophrenia at the age of 25 or younger 48 21 43,8 21 43,8 6 12,4
Control 91 38 41,8 46 50,5 7 7,7
TLR3 Leu412Phe rs3775291 Manifestation of schizophrenia at the age of 26 or older 29 18 62,1 10 34,5 1 3,4
Manifestation of schizophrenia at the age of 25 or younger 50 22 44,0 23 46 5 10
Control 85 50 58,8 33 38,8 2 2,4
Note: * p=0.011 (p >0.05 after adjusting for multiple comparisons by Benjamini-Hochberg procedure)
Note: * statistically significant differences with the control group; * p <0.001 (p <0.05 after adjusting for multiple comparisons by Benjamini-Hochberg procedure)
Table 5
The frequency of SNPs of cytokine and Toll-like receptor genes in patients with schizophrenia __and in the control group __
SNP Group N Homozygous for the first allele Heterozygous Homozygous for the second allele
N % N % N %
IFNL: rs8099917 T>G Schizophrenia 89 60 67.4 25 28.1 4 4.5
Control 93 65 69.9 27 29.0 1 1.1
IFNL: rs12979860 C>T Schizophrenia 89 47 52.8 33 37.1 9 10.1
Control 92 48 52.2 38 41.3 6 6.5
IL1B T-31C rs1143627 Schizophrenia 89 39 43.8 38 42.7 12 13.5
Control 89 47 52.8 36 40.4 6 6.7
IL4 C-589T rs2243250 Schizophrenia 89 55 61.8 24 27.0 10 11.2
Control 89 61 68.5 25 28.1 3 3.4
IL2 T-330G rs2069762 Schizophrenia 79 39 49.4 32 40.5 8 10.1
Control 91 38 41.8 46 50.5 7 7.7
IL10 G-1082A rs1800896 Schizophrenia 89 29 33* 46 52* 14 16*
Control 99 74 74 26 26 0 0
IL10 C-592A rs1800872 Schizophrenia 89 50 56* 38 43* 1 1
Control 99 81 81 18 18 1 1
L10 C-819T rs1800871 Schizophrenia 89 48 54* 34 38 7 8
Control 99 76 76 24 24 0 0
TLR3 Leu412Phe rs3775291 Schizophrenia 81 41 50.6 34 42.0 6 7.4
Control 85 50 58.8 33 38.8 2 2.4
TLR9 G2848A rs352140 Schizophrenia 84 16 19.0 44 52.4 24 28.6
Control 81 22 27.2 45 55.6 14 17.3
TLR9 T1237C rs5743836 Schizophrenia 85 68 80.0 16 18.8 1 1.2
Control 83 71 85.5 10 12.0 2 2.4
IL1B T-511C rs16944 Schizophrenia 73 9 12.3 31 42.5 33 45.2
Control 83 6 7.2 38 45.8 39 47.0
The frequency of homozygous state for the first allele of all studied polymorphisms of the IL10 gene was significantly (p <0.001) lower in the patients than in the control group
(OR = 0.16, 95% CI [0.09; 0.31], power 0.99 for IL10 G-1082A rs1800896; OR = 0.28, 95% CI [0.15; 0.55], power 0.95 for IL10 C-592A rs1800872; OR = 0.35, 95% CI [0.19; 0.66],
power 0.85 for IL10 C-819T rs1800871). Moreover, the frequency of heterozygous state for the G-1082A (rs1800896) and C-592A (rs1800872) polymorphisms was significantly (p <0.001) higher in the patients: OR = 3.95, 95% CI [2.13; 7.30], power 0.94 for IL10 G-1082A rs1800896; OR = 3.69, 95% CI [1.90; 7.16], power 0.95 for IL10 C-592A rs1800872. The frequency of homozygous state for the second allele for IL10 G-1082A rs1800896 was also significantly (p <0.001) higher in the patient group: OR = 38.22, 95% CI [2.24; 650.92], power 0.99. No significant differences between the patients with schizophrenia and the control group were found in the frequency of the other studied SNPs of cytokine and Toll-like receptor genes (Table 5). However, there was a tendency for higher frequency of the homozygous state for the minor allele of most of the studied SNPs in the patients with schizophrenia.
The analysis of associations between the frequency of SNPs, socio-demographic data and clinical characteristics of the patients has revealed that homozygous state for the T allele of C-589T (rs2243250) SNP of the IL4 gene was more common in the patients in whom the disease manifested at the age of 25 years or less (on average, 19.02 ± 1.02 years) compared with the control group: OR = 5.49, 95% CI [1.42; 21.36]; p = 0.011. However, the statistical power (0.67) did not reach 0.8, so larger samples are needed to confirm this finding. In the patients in whom schizophrenia manifested at the age of more than 25 years (on average, 30.38 ± 1.24 years), there were no differences in the frequency of the studied SNPs with the control group (Table 4).
Associations of single-nucleotide polymorphisms of cytokine and Toll-like receptor genes with serum levels of immune mediators in patients with schizophrenia.
The following new associations between single-nucleotide polymorphisms of cytokine and Toll-like receptor genes and serum levels of immune mediators were revealed in patients with schizophrenia.
It was found that carriage of the C allele for the IL1B T-511C polymorphism (rs16944)
was associated with an increase in the level of IL-6 in patients with schizophrenia (p=0.034 for differences with the control group, power 0.94). In the patients who were homozygous for the T allele of this SNP the level of IL-6 did not differ from the control group (Figure 1).
According to the literature, the IL1B T-511C polymorphism influences the transcription of the IL1B gene, but the results in the literature regarding the functional effects of different alleles are not consistent. According to [29], the T allele results in increased transcriptional activity of the ILB gene in the THP-1 human monocyte cell line. Yet, there is data that in the carriers of GG genotype the peripheral blood mononuclear cells release more IL-1P after stimulation with lipopolysaccharide [30]. Importantly, the GG genotype for the IL1B T-511C polymorphism has been associated with an increased risk of schizophrenia, odds ratio 1.24 (95% CI 1.09, 1.41) [31]. It has also been shown that the rs16944 GG genotype is associated with decreased gray matter volume and functional activity of the brain in schizophrenia and bipolar disorder [33, 33]. In addition, this genotype was associated with a reduced likelihood of achieving remission in 256 individuals with depression (odds ratio = 1.74) [34].
The mechanisms of the influence of the IL1B T-511C polymorphism on the risk of schizophrenia and on the changes of the brain in the patients remain unclear, but it has been hypothesized that the effect of this SNP is realized through modulation of IL-1P secretion levels [35]. In the pathogenesis of schizophrenia, chronic activation of innate immunity and disrupted balance in activation of Th1 and Th2 links of adaptive immunity with excessive activation of Th2 link plays a large part, contributing to an increase in the levels of kynurenic acid that causes glutamatergic dysfunction in the patients [36]. IL-1P is one of the key inflammatory cytokines, involved in the initiation and sustainment of chronic inflammation. Activating the NFkB signaling, it induces expression of a number of inflammatory mediators in target cells, including the inflammatory cytokine IL-6 [37]. IL-6 promotes Th2 differentiation and inhibits Th1 differentiation through two independent molecular mechanisms.
220
200
180
20
Sch TT
Sch TC; CC Interleukin-6
Control group
□ Median
25%-75% X Min-Max
Fig. 1. Serum level of interleukin-6 in patients with schizophrenia depending on the presence of the C allele for the IL1b T-511C polymorphism.
IL-6 activates nuclear factor of activated T cells (NFAT), stimulating production of IL-4 by CD4(+) T cells and their differentiation into Th2 cells. Moreover, it upregulates suppressor of cytokine signaling (SOCS)-1 to inhibit IFNy signaling and the differentiation of Th1 cells [38].
The role of IL-6 as a potential marker of the progression of cognitive impairment and brain MRI changes in schizophrenia is currently being intensively studied. As mentioned above, serum IL-6 levels are negatively associated with cognitive performance in schizophrenia [26]. In addition, according to our previous results, there is evidence that an increase in the levels of this cytokine is associated with morphometric changes in the left lingual and left fusiform gyrus in the patients [25]. Taking this into account, the association of the IL1B T-511C polymorphism with an increase in IL-6 levels may contribute to the pathogenetic mechanisms of schizophrenia at least in some of the patients. Further research is needed to understand the possible effect of the IL1B T-511C polymorphism on the clinical characteristics of the disease and on its prognosis.
Carriage of the homozygous G allele of the IL10 SNP 1082A (rs1800896) was associated with no significant increase in the levels of proinflammatory cytokine/chemokine IL-8 (29.08 [12.22; 101.54], while carriers of the A allele had significantly increased IL-8 levels compared with the control group (39.07 [14.33; 89.67] and 13.16 [8.33; 32.11], p = 0.027, power 0.99).
Carriage of the A allele of the IL10 SNP 592 C>A (rs1800872) was also associated with no significant increase in the levels of IL-8 (29.08 [9.24; 55.23], while homozygotes for the C allele had significantly increased IL-8 levels compared with the control group (51.62 [23.36; 106.24] and 13.16 [8.33; 32.11], p = 0.02, power 0.99).
According to the literature, homozygous carriage of the G allele for the IL-10 polymorphism G-1082A is associated with a high level of IL-10 production [39, 40]. The highest IL-10 production is detected in the carriers of the G allele which also have the A allele in IL10 592 C>A SNP [40]. IL-10 is an immunoregu-latory cytokine that inhibits the production of inflammatory mediators including IL-8, which may to a certain extent explain the lack of in-
0
creased IL-8 levels in the patients with schizophrenia who are carriers of IL10 1082A and IL10 592 C>A SNPs.
Carriage of the Phe allele for the TLR3 Leu412Phe (G / A) (rs3775291) polymorphism was also associated with no significant increase in the levels of IL-8 compared to the control group, while carriers of the Leu allele
had significantly increased levels of IL-8, p<0,05, power 0.89 (Figure 2). As can be seen from Figure 2, carriers of the Leu allele also had significantly higher levels of TNFa than in the control group, but the statistical power of this comparison was lower than 0.8, therefore larger studies are required to confirm the result.
350
300
250
200
150
100
50
Sch Leu/Leu
Sch Leu/Phe; Phe/Phe Interleukin-8
Control group
Median 25%-75% X Min-Max
Fig. 2. Serum level of interleukin-8 in patients with schizophrenia depending on the presence of the
Phe allele for the TLR3 Leu412Phe polymorphism.
0
According to the literature, increased serum levels of IL-8 in schizophrenia predict the development of resistance to therapy [41]. Further studies are needed to elucidate the clinical characteristics and the course of the disease in the patients with schizophrenia who carry the SNPs associated with lower IL-8 levels.
There is evidence that the TLR3 Leu412Phe (G/A) genetic polymorphism (rs3775291) reduces the ability of the TLR3 protein to bind double-stranded RNA (dsRNA). This polymorphism is associated with a decrease in the synthesis of IFNy by mononuclear cells of the umbilical cord blood after stimulation of the cells with a synthetic TLR3 ligand, pI:C [42]. Therefore, the polymorphism may contribute to a less pronounced activation of the innate immune response and a lower activation of the Th1-link of adaptive
immunity. In addition, it has been demonstrated to have some protective effect against the risk of HIV infection and HSV-2 infection [43, 44]. In accordance with these effects of the SNP, our work shows a lower level of proin-flammatory cytokines in the patients with schizophrenia who are carriers of the TLR3 Leu412Phe polymorphism. They also demonstrate an increase in the CIC level which may reflect a higher activation of the Th2 component of adaptive immunity.
In the present study a number of associations were revealed between the polymorphisms in the genes regulating the immune response and the parameters of the systemic immunity in patients with schizophrenia. The new data obtained are important for describing different immunological variants of schizophrenia and for identifying genetic factors that
affect the type and severity of immunological disorders in patients.
Activation of the systemic inflammatory response found in this study in patients with schizophrenia is in accordance with the literature data and with the previous results obtained by the authors [25].
Increased frequency of SNPs in the IL10 gene in patients with schizophrenia has been revealed in this study. This finding indicates a need of further studies to clarify the possible role of IL10 SNPs in the disruptions of neuro-immune interactions that contribute to the pathogenesis of schizophrenia and might affect the clinical manifestations of the disease.
Associations of SNPs in the genes regulating the immune response with the immune parameters in schizophrenia were also found. Notably, such associations were identified for SNPs that were overrepresented in the patients, including IL10 1082A (rs1800896) and IL10 592 C>A (rs1800872). These results may indicate a role of these SNPs in modulating the network genetic interactions underlying certain immunological endophenotypes in the patients. The associations of SNPs in genes regulating the immune response with increased production of key inflammatory cytokines such as IL-6 and IL-8 warrants further research, considering that level of IL-8 has been shown in our previous work to correlate with clinically important characteristics of the disease including the severity of negative symptoms, and level of IL-6 was shown to be associated with structural changes of the brain detected by MRI [25, 45].
Based on the results of this study, researching the associations of polymorphisms of genes regulating the immune response with immune parameters and clinical characteristics of patients with schizophrenia is a promising approach to elucidating the pathogenetic mechanisms of the disease. Further research, particularly in larger samples of patients, adopting big data and network methodologies, may contribute to the translation of fundamental immunogenetic data into clinical practice as well as to finding new markers for prediction of the course of schizophrenia.
Conclusion. In this study, the parameters of immunity and a number of SNPs of cytokine and TLR genes in patients with schizophrenia have been assessed. The associations of the studied SNPs with the type and severity of immune disorders and the presence of systemic inflammation in patients with schizophrenia have been analyzed. New data have been obtained on the relationship of genetic factors, immune disorders and systemic inflammation in schizophrenia.
The principal findings of the study are:
1. In the patients with schizophrenia, activation of the systemic inflammatory response with an increase in the levels of key pro-inflammatory mediators including C-reactive protein, cortisol, circulating immune complexes, IL-8 and IL-17A was revealed, which is in accordance with the previous results obtained by the authors and with the literature.
2. Increased frequency of IL10 gene polymorphisms (rs1800896, rs1800872, rs1800871) was revealed in the patients with schizophrenia compared to the control group.
3. New associations between the levels of immunological and inflammatory markers and SNPs of cytokine and TLR genes in patients with schizophrenia were found. Increased IL-6 levels were associated in the patients with the presence of the C allele for IL1B T-511C (rs16944), and increased IL-8 levels were associated in the patients with the presence of the G allele for IL10 SNP 1082A (rs1800896), the A allele for IL10 592 C>A (rs1800872) and the Phe allele for TLR3 Leu412Phe (G/A) (rs3775291).
Financial support
This work was supported by NRC "Kurchatov Institute" (R&D "Biomedical Technologies", subtopic "Immunogenetic strategies for the diagnosis and treatment of schizophrenia", order No. 1059 of July 2, 2020, order No. 2757 of October 28, 2021) and partially supported by RSF (grant 20-15-00299).
Conflict of interests
The authors have no conflict of interest to declare.
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Received 11 November 2021 Revised 3 March 2022 Accepted 26 March 2022
Information about the authors Irina K. Malashenkova, Cand. Sci. (Medicine), Head of the Laboratory of Molecular Immunology and Virology, Kurchatov Institute, Moscow, Senior Researcher at the Laboratory of Clinical Immunology, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia, E-mail: [email protected], ORCID: https://or-cid.org/0000-0002-3604-9098. Vadim L. Ushakov, Cand. Sci. (Biology), Associate Professor, Senior Researcher, Moscow Engineering Physics Institute, Moscow, Head of Department, Alekseev Psychiatric Clinical Hospital No. 1, Moscow, Leading Researcher at the Institute for Advanced Brain Studies, Lomonosov Moscow State University, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0002-4716-2109.
Sergey A. Krynskiy, Cand. Sci. (Medicine), Researcher at the Laboratory of Molecular Immunology and Virology, Kurchatov Institute, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0003-4328-865X. Daniil P. Ogurtsov, Cand. Sci. (Medicine), Researcher at the Laboratory of Molecular Immunology and Virology, Kurchatov Institute, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0003-0257-4713. Nikita A. Khailov, Cand. Sci. (Medicine), Senior Researcher at the Resource Center of Molecular and Cell Biology, Kurchatov Institute, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0002-3693-285X. Svetlana N. Moskvina, Cand. Sci. (Biology), Leading Researcher at the Laboratory of Molecular Immunology and Virology, Kurchatov Institute, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0003-3901-674X. Natalia V. Zakharova, Cand. Sci. (Medicine), Head of the Laboratory of Fundamental Research Methods, Alekseev Psychiatric Clinical Hospital No. 1, Moscow, Russia, E-mail: [email protected], ORCID: https://or-cid.org/0000-0001-7507-327X. Ekaterina I. Chekulaeva, Junior Researcher at the Resource Center of Molecular and Cell Biology, Kurchatov Institute, Moscow, Russia, E-mail: [email protected], ORCID: https://or-cid.org/0000-0002-2559-2132.
Nikolay A. Didkovsky, Doct. Sci. (Medicine), Professor, Head of the Laboratory of Clinical Immunology, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia, E-mail: [email protected], ORCID: https://or-cid.org/0000-0001-6567-5998.
Georgy P. Kostyuk, Doct. Sci. (Medicine), Professor, Chief Physician, Alekseev Psychiatric Clinical Hospital No. 1, Moscow, Russia, E-mail: [email protected], ORCID: https://orcid.org/0000-0003-4320-3644.
