Increased Ribosome Biogenesis and Increased Oxidative Stress in Blood Leukocytes of Patients With Catatonic Schizophrenia Compared With Paranoid Schizophrenia

Elisaveta S. Ershova , Natalia N. Veiko , Oksana N. Agafonova , Andrey V. Martynov , Roman V. Veiko , Lev N. Porokhovnik , Tatyana A. Salimova , Georgy P. Kostyuk , Natalia V. Zakharova , Svetlana V. Kostyuk

Frontiers in Bioscience-Landmark ›› 2025, Vol. 30 ›› Issue (8) : 39426

PDF (14040KB)
Frontiers in Bioscience-Landmark ›› 2025, Vol. 30 ›› Issue (8) :39426 DOI: 10.31083/FBL39426
Original Research
research-article
Increased Ribosome Biogenesis and Increased Oxidative Stress in Blood Leukocytes of Patients With Catatonic Schizophrenia Compared With Paranoid Schizophrenia
Author information +
History +
PDF (14040KB)

Abstract

Background:

Schizophrenia (SZ) is associated with chronic oxidative stress in the patient’s body. Previous studies revealed an increased copy number of genes for 47S pre-ribosomal RNA (pre-rRNA) in SZ patients. In this study, levels of oxidative stress and factors involved in the adaptive response to chronic stress (rDNA transcription) were, for the first time, compared in blood cells of patients with catatonic SZ(C) and paranoid SZ(P), chronic forms of schizophrenia, as well as healthy controls (HC).

Methods:

Ribosomal DNA (rDNA) and telomere repeat (TR) were quantified in leukocyte DNA using non-radioactive quantitative hybridization. Fragments of 5′ external transcribed spacer (5′ ETS) and 18S rRNA were assayed in leukocyte RNA using quantitative reverse transcription PCR (RT-qPCR). Proteins γ-histone H2AX (γH2AX), NADPH-oxidase 4 (NOX4), nuclear factor erythroid 2-related factor 2 (NRF2), BCL2-like protein 4 (BAX), BCL2, and oxidation marker 8-oxo-2′-deoxyguanosine (8-oxodG) were quantified in blood lymphocytes using flow cytometry.

Results:

SZ(C) cells exhibited higher levels of the oxidative stress markers than SZ(P) and HC cells. The rDNA copy numbers in SZ(C) genomes negatively correlated with the amounts of the oxidative stress markers levels. Thus, genomes of blood cells isolated from catatonic patients harbor more copies of ribosomal genes than those from paranoid schizophrenia patients, correlating with higher levels of rRNA in catatonic patients.

Conclusions:

The upregulated ribosome biogenesis appears to be required for adaptive response to the elevated levels of oxidative stress in catatonic compared to paranoid patients.

Graphical abstract

Keywords

schizophrenia / ribosome biogenesis / paranoid schizophrenia / catatonia / rDNA / telomere repeat / oxidative stress

Cite this article

Download citation ▾
Elisaveta S. Ershova, Natalia N. Veiko, Oksana N. Agafonova, Andrey V. Martynov, Roman V. Veiko, Lev N. Porokhovnik, Tatyana A. Salimova, Georgy P. Kostyuk, Natalia V. Zakharova, Svetlana V. Kostyuk. Increased Ribosome Biogenesis and Increased Oxidative Stress in Blood Leukocytes of Patients With Catatonic Schizophrenia Compared With Paranoid Schizophrenia. Frontiers in Bioscience-Landmark, 2025, 30(8): 39426 DOI:10.31083/FBL39426

登录浏览全文

4963

注册一个新账户 忘记密码

1. Introduction

Schizophrenia is associated with chronic oxidative stress in the patient [1, 2, 3]. The oxidative stress is one of the factors of chronic inflammation and immune system activation resulting in the disruption of brain function (so called sterile inflammation hypothesis of schizophrenia development) [3, 4, 5, 6, 7]. The elevated stress is found not only in the patient’s cells, but also in the cultured cells, such as skin fibroblasts, suggesting the existence of genetic factors that induce the oxidative stress [8, 9].

In case of pathogenic genetic variants that provoke oxidative stress, the survival under the chronic stress should involve an adaptive response aimed at compensating the damage to DNA and other cellular structures. If a pathogenic mutation manifests as early as in embryo cells, the adaptive response is crucial for the implementation of embryogenesis. The genome should harbor ‘positive’ genetic factors, which enable dampening the stress consequences. Such positive factors include genes that provide an elevated ribosome biogenesis in response to stress [10, 11, 12, 13, 14].

Indeed, enlarged ribosome abundance underpins more active and rapid biosynthesis of proteins, which counteract oxidative stress and repair the DNA damage. The ribosome number and the rate of ribosome biosynthesis in the cell depend on a number of factors [10, 12, 15]. Among them, the transcription of ribosomal genes that code for ribosomal RNA (rRNA) occupies a central place. In human genome, the ribosomal DNA (rDNA) repeats are gathered in clusters of head-to-tail tandem units (Fig. 1A) located in p-arms of the acrocentric chromosomes (13, 14, 15, 21 and 22). The ribosomal repeat codes for 18S, 5.8S and 28S rRNA subunits, which, together with 5S rRNA and 70–80 ribosomal proteins, are the essential components of the eukaryotic ribosome [16, 17].

The equilibrium rRNA cellular content is determined, among other factors, by the number of transcribed copies of the ribosomal repeats [18, 19]. Hence, a high enough number of rDNA copies in the genome may be a ‘positive’ genetic trait that enables the cell of either an embryo or an adult human to compensate the impact of the negative genetic factors and to survive.

Some authors showed earlier that genomes of patients with paranoid schizophrenia carried increased rDNA copy numbers (rDNA CN), as compared to mentally healthy controls [20, 21, 22]. Transcriptomic studies have also revealed that multiple genes involved in the process of ribosome biogenesis are dramatically upregulated in schizophrenia patients [23, 24]. The rDNA CN in the blood cell genome is a stable genetic trait, which remains practically constant during the lifespan [25]. These data corroborate a hypothesis of the positive role of a large number of rDNA copies during embryogenesis to save a genome carrying some negative mutations. These mutations can later in life result, sometimes in combination with negative environmental factors, in schizophrenia onset.

The cohorts of schizophrenia patients are not homogeneous in terms of severity of oxidative stress and the disease. There are several forms or subtypes of the pathology. Among them, paranoid and catatonic are most studied. Catatonic schizophrenia is a subtype of schizophrenia characterized by the presence of a catatonic syndrome. This syndrome, besides the general symptoms of schizophrenia, includes a variety of motor disorders such as catatonic stupor, agitation, catalepsy, waxy flexibility, and some other [26, 27]. The prevalence of catatonia is 9% of mentally ill patients. Catatonia is associated with a more severe course of the disease and a higher level of stress compared to other forms of schizophrenia, including paranoid form [28, 29, 30].

The biochemical and genetic aspects of the catatonic form of schizophrenia are not adequately investigated. It remains unknown whether the more severe condition of the patients with catatonia is accompanied by higher levels of chronic oxidative stress, DNA damage, and apoptosis. The rDNA CNs in the genomes of patients with this form of schizophrenia have never been studied. We hypothesized that more severe condition of catatonia is associated with fewer copies of rDNA in the genome restricting the adaptive response to oxidative stress.

In the present study, we, firstly, conducted a comparative analysis of the level of oxidative stress in the blood cells of chronic patients with catatonic and paranoid schizophrenia. The level of oxidative stress was quantified by measuring three known biomarkers. 8-oxo-2-deoxyguanosine (8-oxodG), the main product of DNA oxidation, is an important biomarker of in vivo oxidative DNA damage [31, 32]. Phosphorylated on serine 139, γ-histone H2AX (γH2AX) is a marker of double-strand DNA breaks in human studies at population level [33]. An average telomere length (the content of telomere repeats in leukocyte DNA) reflects the system level of chronic oxidative stress [34, 35, 36, 37].

Secondly, an assay of proteins NADPH-oxidase 4 (NOX4), nuclear factor erythroid 2-related factor 2 (NRF2), BCL2-like protein 4 (BAX), and BCL2, which are associated to the adaptive response and apoptosis of blood cells of schizophrenia (SZ) patients to chronic stress, was performed. NOX4 [38, 39] is known to contribute to the antioxidant response via modulating NFE2L2 gene expression and affecting the activity of NRF2 in cells exposed to endo- and exogenous deleterious factors. The NRF2 transcription factor is the master regulator of the antioxidant enzyme expression [40, 41]. BAX functions as an apoptotic activator. The protein has been shown to be involved in p53-mediated apoptosis [42]. Protein BCL2, otherwise, regulates cell death inhibiting apoptosis [43].

Thirdly, we determined the number of rDNA copies and the level of transcriptional activity of the ribosomal genes in blood leukocytes of patients with catatonic and paranoid schizophrenia. It was for the first time shown that a higher level of oxidative stress in the group of patients with catatonia compared to the group of paranoid schizophrenia was associated with a large number of rDNA copies in the genomes of patients with catatonia.

2. Materials and Methods

2.1 Groups Studied

The study involved patients with schizophrenia who lived in Moscow city and the Moscow region. The schizophrenia patients were hospitalized for an exacerbation to Psychiatric Clinical Hospital No. 1 named after N.A. Alekseev at Department of Health Care of the City of Moscow. Examination of the patients included psychopathological examination (original and international structured interview); psychometric tests (The positive and negative syndrome scale (PANSS), Hamilton Depression Rating Scale (HAM-D) Clinical Global Impression – Severity (CGI-S), Side-Effect Rating Scale (UKU), Yang mania scale) for a formalized assessment of mental status; registration of the socio-demographic profile; objective assessment of cognitive functions (conducted after the stabilization of the mental state using a battery of cognitive tests); registration of the psychopharmacologic profile. The catatonic signs were rated according to Bush Francis Catatonia Rating Scale (BFCRS) [16].

All the SZ patients had been taking antipsychotics for a long time before hospitalization and in the clinic. Most often (65% cases) atypical antipsychotics (risperidone, quetiapine, olanzapine, zupentixol, ziprasidone, paliperidone, aripiprazole, amisulpiride, clozapine) were prescribed. Typical antipsychotics (chlorpromazine, sulpiride, haloperidol, chlorprotixen) were used as antipsychotic relief therapy in the early days of treatment. As a result of examination, the patients with schizophrenia were divided into two groups, and a control group was also formed.

(1) A group of patients with catatonic manifestations (N = 124), SZ(C). The verified diagnosis of schizophrenia according to the International Classification of Diseases (ICD-10) was catatonic schizophrenia (F20.2). The age was 24 to 52 with a mean of 38 ± 17. The male ratio was 63%. The duration of the disease was 1 to 10 years.

(2) A group of patients with paranoid form of schizophrenia (N = 450), SZ(P). The ICD-10 diagnosis was paranoid schizophrenia (F20.0). The age was 18 to 62 with a mean of 42 ± 14. The male ratio was 69%. The duration of the disease was 1 to 15 years.

Criteria for not including patients with schizophrenia in the study were: (a) concomitant mental disorders (drugs and psychoactive substance addiction); (b) organic mental disorders of any origin, dementia or mental retardation; (c) somatic and neurological diseases that may affect the diagnostics and course of the major mental disorder; (d) acute or chronic severe somatic disease that prevents examination; (e) patient’s refusal to participate in the study at any time.

(3) Control group (N = 240), HC. Group consisted from mentally healthy subjects who lived in Moscow and the Moscow region and did not have relatives with mental disorders. The age was 25 to 59 with a mean of 48 ± 19. The male ratio was 49%.

2.2 Quantification of rDNA Copy Number Using Hybridization

The techniques used in this study were described in great detail earlier (see Chestkov et al, 2018 [20]). The material for molecular genetic studies was the peripheral blood of patients taken from the cubital vein. Blood sampling was performed at Psychiatric Hospital no. 1 Named after N.A. Alexeev; DNA was isolated from the lysed leukocyte mass after treatment with RNase A and proteinase K using extraction with organic solvents (phenol, phenol/chloroform) and DNA precipitation with 70% ethanol. The DNA concentration in the solution was measured in two steps: (1) spectrophotometrically, using Shimadzu UV-160A (Shimadzu Corporation, Kyoto, Japan) at a wave length of 260 nm taking into account light scattering (320 nm); (2) more precise concentration measurement was performed using fluorescence analysis and Quant-iT PicoGreen dsDNA Assay Kit (P7589, Invitrogen, Carlsbad, CA, USA). A DNA probe containing an EcoRI fragment of the transcribed region of ribosomal repeats was used to assay the ribosomal repeat with dot hybridization (5836 basepairs, positions from –515 to 5321 bp; GenBank $U13369), cloned within pBR322 plasmid (D4904 Sigma-Aldrich, Saint Louis, MO, USA) (Fig. 1A). During each hybridization test, three samples of each DNA specimen were put onto a filter simultaneously. Each test was repeated twice. In order to quantify the repeat content by hybridization image, our in-house software ‘Image 6.0’ was used (Research Centre for Medical Genetics).

2.3 Assay of Fragments of 5 External Transcribed Spacer (5 ETS) rRNA and 18S rRNA Using Quantitative Reverse Transcription PCR (RT-qPCR)

We used flow cytometry to analyze mononuclear cell samples isolated from patients’ blood. The cells were validated for their identity by surface marker analysis using flow cytometry and tested negative for mycoplasma. Lymphocytes were isolated by the standard technique of centrifugation in a density gradient in the ficol-verografin system (17-1440-03, Paneco, Moscow, Russia). RNA isolation was performed with RNeasy Plus Mini Kit (74134, QIAGEN, Germantown, MD, USA). RNA concentration was determined using dye Quant-iT RiboGreen RNA Reagent (R11491, Invitrogen, Carlsbad, CA, USA) at λem = 487 nm, λfl = 524 nm at table reader EnSpire (PerkinElmer, Waltham, MA, USA). The reverse transcription reaction was performed using Sileks (Moscow, Russia) reagents. PCR was performed using the relevant primers (were synthesized by Evrogen, Moscow, Russia) and intercalating dye SybrGreen (PB025S, Evrogen, Moscow, Russia) at StepOnePlus (Applied Biosystems, Foster City, CA, USA) instrument. The primers for assaying rRNA regions were synthesized by Evrogen (Moscow, Russia). The reaction mixture for PCR in a volume of 25 µL consisted of 2.5 µL of PCR buffer (700 mM/L Tris-HCl, pH 8.6; 166 mM/L ammonia sulphate, 35 mM/L MgCl2), 2 µL of mM/l dNTP solution; and 1 µL of 30 pM/L primer solution, cDNA. The PCR conditions were adjusted individually for each pair of primers. After denaturation for 4 min at 95 °C, 40 amplification cycles were run in the following order: 94 °C for 20 s, 56–62 °C for 30 s, 72 °C for 30 s and 72 °C for 5 min. The results were processed using a calibration curve. The error was 2%.

2.4 Flow Cytometry

Lymphocytes were isolated by the standard technique of centrifugation in a density gradient in the ficol-verografin system. Cells were fixed with 3.7% formaldehyde for 10 min at 37 °C, washed and permeabilized in 90% methanol at –20 °C overnight. Before antibody treatment, the cells were precipitated, washed twice with phosphate buffered saline (PBS) (P060E, Paneco, Moscow, Russia) with 1% BSA (2244, neoFroxx GmbH, Einhausen, Germany), resuspended in PBS, and incubated overnight at +4 °C with the specific antibodies in working concentration of 1 µg/mL. The following commercial antibodies were applied: PE-8OHdG (sc-393871 PE, Santa Cruz, Dallas, TX, USA), CY5.5-NOX4 (bs-1091r-cy5-5, Bioss Inc., Woburn, MA, USA); FITC-NRF2 pSer40 (bs2013, Bioss Inc.); PE-8OHdG (sc-393871 PE, Santa Cruz, Dallas, TX, USA); DyLight488-γH2AX (pSer139) (nb100-78356G, NovusBio, Saint Louis, CO, USA); A350-BCL2 (bs15533r-a350, Bioss Antibodies Inc., Woburn, MA, USA); BAX (Nb120-7977, NovusBio, Saint Louis, CO, USA); secondary mouse anti-rabbit IgG-FITC (sc-2359, Santa Cruz). The detection was carried out using flow cytometry at CyFlow® (Sysmex Partec GmbH, Germany) flow cytofluorimeter.

2.5 Statistical Analysis

All the reported results were reproduced at least three times as the independent biological data. The significance of the observed differences was analyzed using the non-parametric Mann–Whitney U test, Kruskal-Wallis H-test and Student’s t-test. Data were analyzed with StatPlus2007 professional software (http://www.analystsoft.com). All p-values were two-sided and considered statistically significant at p < 0.01.

3. Results

3.1 Brief Experiment Design

Blood samples of 574 long term hospitalized patients with chronic schizophrenia were the objects of the study. The most severe patients with catatonia formed the group SZ(C) (N = 124). The group SZ(P) included 450 patients with paranoid schizophrenia. The groups did not differ by treatment applied for the relief of psychoses. The control group included 240 age- and sex-matched subjects.

DNA was isolated from blood leukocytes of each subject (totally, 814 subjects). The contents of ribosomal repeats and telomere repeats were determined in the DNA samples using non-radioactive quantitative hybridization with biotinated DNA probes [20]. The 5 ETS rRNA and 18S rRNA were quantified using RT-qPCR for RNA samples isolated from leukocytes of 200 subjects from the same groups: SZ(C) (N = 56), SZ(P) (N = 70) and HC (N = 74). The content of markers reflecting the stress level in the body was quantified using flow cytometry in peripheral blood mononuclear cells (PBMCs) isolated from 255 subjects of the following groups: SZ(C) (N = 50), SZ(P) (N = 145) and HC (N = 60).

3.2 Ribosomal Genes

Transcription of ribosomal genes in the nucleolus is the primary and very important step of the process of ribosome biogenesis. The amount of 47S rRNA transcript (Fig. 1A) depends on the number of transcribed rDNA copies. In turn, the number of transcribed rDNA copies might depend on the total number of rDNA copies in the cell.

Fig. 1B shows experimental data reflecting the rDNA contents in blood leukocytes of the two groups of patients with SZ and the HC group. Table 1 presents the descriptive statistics. The three groups were significantly different by rDNA copy numbers in the genome (Kruskal-Wallis H-test: H = 111, p < 10-20). SZ patients of both clinical groups carried more rDNA copies than healthy controls of HC group, being fully consistent with the previously obtained data [20, 21, 22]. A comparison of the two SZ groups showed that catatonic patients carried more rDNA copies than paranoid patients (Student’s t-test: T = 3.9, p = 0.0001). The range of the rDNA CN in group SZ(C) is shifted towards larger values compared to SZ(P) group. The SZ groups are distinguished by lower coefficients of variation (Cv) of the parameter compared to the control.

The rDNA transcription rate was estimated via quantification of 5ETS rRNA (external transcribed spacer) in RNA specimens isolated from blood leukocytes. The amount of 5ETS rRNA is an indicator of the real transcription of the ribosomal arrays at a time. The full-size 47S pre-rRNA transcript is processed into mature rRNAs (18S, 5.8S, 28S), while the rest 47S RNA fragments rapidly degrade and do not accrue within RNA with time.

Fig. 1C and Table 1 present the data showing the 5ETS rRNA amounts in RNA specimens, as obtained using RT-PCR. The two groups of SZ patients were not distinct by the amounts of 5ETS transcripts (Fig. 1C,c1), whereas they were significantly different from HC group by higher values of this parameter (p < 0.0001). The range of the 5ETS rRNA amounts in group SZ(C) is shifted towards larger values compared to SZ(P) group. The SZ groups are distinguished by much higher coefficients of variation of the parameter compared to the control.

The most significant correlation between the amount of the transcript and the rDNA CN was found in HC group leukocytes (Spearman’s correlation coefficient Rs = 0.75, p < 0.0001). Leukocytes derived from the patients contained more 5ETS rRNA than leukocytes from HC group with the same values of rDNA CN (Fig. 1C,c2). The ratio that indicates an amount of 5ETS rRNA per one rDNA copy (Fig. 1C,c3) was several times increased in SZ patients compared to controls (p < 10-20). One can assume that leukocytes from the patients contain more transcriptionally active copies of rDNA than leukocytes from the healthy controls. This assumption is in good agreement with the early data on a larger number of active copies of ribosomal genes in lymphocytes of SZ patients, which were obtained using silver staining of metaphase chromosomes [44]. We found no statistically reliable difference in 5ETS rRNA transcript levels between SZ(C) and SZ(P) patients. However, ~13% RNA specimens of SZ(C) group contained more RNA 5ETS per one rDNA copy than the maximum value of this parameter in SZ(P) group.

It can be assumed that the process of ribosome biogenesis at the stage of mature rRNA synthesis and degradation of internal transcribed rRNA spacers is accelerated in SZ(C) lymphocytes. If so, higher levels of mature rRNA should be expected in SZ(C) group. Indeed, we found a higher level of 18S rRNA in SZ(C) group compared to SZ(P) group (Fig. 1D,d1,d3). The strongest correlation between the parameter’s rDNA CN and 18S rRNA amount, as in the case of RNA 5ETS, was observed in control cells (Fig. 1D,d2).

3.3 Telomere Repeat Content in DNA

The telomere repeat content was represented as the number of picograms of the repeat per one microgram of DNA (parameter T). One pg of repeat/µg of DNA corresponds to an average telomere length of 17 bp. Fig. 2A and Table 1 show experimental data and descriptive statistics reflecting the repeat content in DNA isolated from the blood leukocytes of the three groups studied. Schizophrenia patients contained significantly less telomere repeats in their leukocyte DNA than age-matched healthy controls (p < 10-20). This fact suggests an increased level of chronic oxidative stress in SZ patients [45, 46].

In the control group, the telomere repeat (TR) content in the cellular DNA did not depend on the rDNA CN. In the two groups of SZ patients, a positive correlation was found between the contents of the two repeats (Fig. 2B). Genomes of patients with high values of rDNA CN (more than 500 copies) contained greater amounts of the telomere repeat than genomes with lower contents of the ribosomal repeat (Fig. 2C).

3.4 DNA Damage In Lymphocytes

The positive correlation between TR content and rDNA CN in DNA of blood leukocytes from SZ patients suggests lower intensity of chronic stress in subjects with higher rDNA abundance in the genome. To verify this suggestion, we analyzed DNA damage in blood lymphocytes using flow cytometry analysis (FCA) technique (Fig. 3) based on two standard DNA damage markers that reflect the DNA oxidation (8-oxodG) and the double-strand DNA breaks (γH2AX).

The population of peripheral blood mononuclear cells (PMBCs) isolated from the blood contains several subpopulations (Fig. 3A,a1 and Fig. 3B,b1, plots FCS—SSC). We analyzed the CD23+ subpopulation that includes lymphocytes (PBL).

A population of PBLs from patients consisted of, as a rule, two types of cells—with a very high content of oxidation marker 8-oxodG (fraction 8-oxodG+) and with a medium or low content of the marker (Fig. 3A,a1). The mean DNA oxidation was assessed by medians of fluorescent signal from all cells (Fig. 3A,a2). For simplicity of illustration, median values of the signal were normalized to the maximum value of the index in the sample (N = 255 PBL specimens). The index 8-oxodG was highest in SZ cases and far exceeded the corresponding index in the control group. The groups SZ(C) and SZ(P) did not differ by 8-oxodG values (Fig. 3A,a2). At the same time, SZ(C) group contained considerably more cells 8-oxodG+ with high oxidation level (Fig. 3A,a3).

A similar result was obtained when assaying the marker of double-strand breaks (Fig. 3B). The mean values of the parameter γH2AX in the two patient groups did not differ and were significantly higher than in the controls. SZ(C) group contained a higher percentage of γH2AX+ cells than SZ(P) group.

Fig. 3C, c1 shows the dependence of the amount of γH2AX+ cells in the lymphocyte pool on the amount of 8-oxodG+ cells. The dependence was non-linear and best approximated by a second-order equation. At low and medium values of 8-oxodG+ index, a positive correlation was observed between the amounts of cells with an elevated oxidation level and cells with a high rate of double-strand breaks. Very high values of 8-oxodG+ corresponded to decreased amounts of γH2AX+ cells in the lymphocyte pool. This fact can be explained by elimination of PBL cells with a very high level of double-strand breaks due to their death (Fig. 3C,c2).

For SZ(C) group, a pronounced negative correlation was observed between DNA oxidation marker 8-oxodG and rDNA CN (Fig. 3D). The fewer copies of rDNA contained in the leukocytes of a patient with catatonia, the higher level of DNA oxidation was observed in the lymphocytes isolated from the patient. In SZ(P) group and the control group, the negative correlation was statistically insignificant.

3.5 Levels of Pro-Oxidant Enzyme NOX4 and Anti-Oxidant Factor NRF2 in Lymphocytes

Oxidative stress in SZ patients induces an adaptive response aimed at reducing the DNA damage. The enzyme NOX4 catalyzes the hydrogen peroxide synthesis reaction. NOX4 plays an important role in the development of the adaptive response in SZ. Hydrogen peroxide and hydrogen peroxide-associated reactive oxygen species (ROS) induce the activity of genes involved in the adaptive response to stress [47]. NOX4 level was considerably increased in lymphocytes of SZ patients of both clinical groups (Fig. 4A,a2) compared to controls. Patient-derived lymphocytes populations contained a fraction of cells with greatly elevated NOX4 protein (NOX4+) (Fig. 4A,a1,a3). The size of this fraction was increased in patient-derived cells compared to controls. The fraction NOX4+ in SZ(P) lymphocytes was higher than in SZ(C) group. In SZ(C) group, a negative correlation between NOX4 level and rDNA CN (Rs = –0.40, p = 0.004) was observed (Fig. 4A,a4). The increased rDNA abundance in leukocytes of catatonic patients was associated with low NOX4 protein expression level. In SZ(P) group, the negative correlation was insignificant (Rs = –0.14, p = 0.1). In HC group, rDNA CN was not linked to NOX4 protein expression level.

An increase in ROS, in particular, hydrogen peroxide-associated ROS, provokes an antioxidant response mediated by transcription factor NRF2. NOX4 gene activity is known to activate transcription of gene for NRF2 [41] during the development of the adaptive response to stress. The counter-action of the two genes is in balance. An excessive antioxidant response can result in a decrease in ROS, which are necessary for the cell’s key signaling pathways to respond to stress. Analysis of lymphocyte populations showed that the NRF2 protein content was described by a narrow distribution, while there was no fraction of cells with abnormally high protein levels, as was the case for NOX4 (Fig. 4B,b1). NRF2 levels in SZ and HC cells did not differ significantly (Fig. 4B,b2).

In the clinical groups, a positive correlation between NOX4 and NRF2 contents was found (Fig. 4B,b3). In HC group, the level of NRF2 was not linked to the level of NOX4. The groups of patients differed from controls by significantly lower NRF2/NOX4 ratio (Fig. 4B,b4).

3.6 Levels of Pro-Apoptotic Protein BAX and Anti-Apoptotic Protein BCL2 in Lymphocytes

The size of the fraction was significantly greater in the populations of lymphocytes derived from patients with catatonia (Fig. 5A,a1–a3). The cells from SZ(C) patients contained more pro-apoptotic protein BAX, than cells from SZ(P) patients and HC controls (Fig. 5A,a2). SZ(P) and HC groups were not different by the content of this protein. A negative correlation between BAX level and rDNA CN was found in SZ(C) group (Fig. 5A,a4).

The level of anti-apoptotic protein BCL2 in lymphocytes derived from SZ(C) group of patients was slightly increased compared to controls (Fig. 5B). The ratio BAX/BCL2 allows to evaluate the intensity of apoptosis [48]. This ratio was much higher in the group of patients with catatonia than in the other two groups. In the group of patients with paranoid schizophrenia, this ratio was lower than in HC group.

4. Discussion

In this study, we corroborated the previous reports on an increased level of oxidative stress in the blood cells of chronic SZ patients compared to healthy controls [1, 2, 7]. A high level of stress in both SZ groups studied is suggested by the equally low content of telomere repeat in the leukocytes DNA that reflects a decrease in the mean telomere length (Fig. 2). Other authors have shown that a diagnosis of chronic schizophrenia, more than gender, age, cigarette smoking or alcohol drinking, is the most important condition responsible of the telomere length shortening [49, 50]. Treatment with antipsychotics did not have an impact on such telomere length shortening [51, 52, 53]. It is suggested that telomere shortening is not a cause but a consequence of chronic schizophrenia. Antipsychotic-naïve first-episode psychosis patients have the same telomere length as healthy controls [54, 55]. Telomere length shortening is associated with a significant decline in cognitive function in SZ patients. The authors explain this fact by the accelerated aging of patients’ cells [56, 57].

8-oxodG is a well-recognized marker of chronic oxidative stress in mental illnesses [58]. Elevated levels of this marker have been found in urine [59], serum/plasma [60, 61], cerebrospinal fluid [62] and in the hippocampus of SZ patients [63]. It has been shown that high 8-oxodG content is associated with a chronic disease course rather than being an early sign of early-onset schizophrenia [64, 65]. We found an increased 8-oxodG content in the lymphocytes of SZ(P) and SZ(C) patients (Fig. 3A). Data on the level of double-strand breaks (marker γH2AX) in DNA of SZ patients are not as numerous as data on the level of 8-oxodG. Cultured lymphoblasts and fibroblasts from patients with schizophrenia were shown to contain more double-strand breaks than healthy control cells [8, 66]. We found an increased γH2AX content in the lymphocytes of SZ(P) and SZ(C) patients (Fig. 3B). SZ(C) lymphocytes contain a much higher percentage of cells with very high 8-oxodG and γH2AX levels than SZ(P) lymphocytes. These facts suggest a higher level of oxidative stress in the blood cells of patients with catatonia compared to patients with paranoid schizophrenia.

Unrepaired multiple DNA lesions in cells should cause cell death. Indeed, some authors have found an increase in apoptotic cell death in SZ patients [67, 68, 69]. In lymphocytes isolated from SZ(C) cases, compared with SZ(P) and HC subjects, the amount of proapoptotic protein BAX was significantly increased, and BAX/BCL2 ratio was elevated in this group, indicating a greater intensity of cell death processes (Fig. 5).

Lymphocytes of patients with schizophrenia expressed much larger amounts of NOX4 enzyme, which catalyzes the synthesis of hydrogen peroxide, than control cells did. Despite the fact that the level of the antioxidant factor NRF2 in lymphocytes of SZ(C), SZ(P) and HC groups practically did not differ (Fig. 4), lymphocytes of patients with SZ were characterized by an imbalance in the contents of NRF2 and NOX4 (Fig. 4B,b4) compared to controls. High levels of NOX4 corresponded to relatively low levels of NRF2. In other words, there was no significant activation of NRF2 expression in response to an increased level of NOX4 protein in the patient’s cells. We observed a similar phenomenon in the early response of healthy human cells to stress caused by an exposure to genotoxic agents [70]. We believe that an imbalance in the expression levels of NRF2 and NOX4 is necessary for the cell to maintain an acceptable level of specific ROS, which are involved in the adaptive response to stress.

The adaptive response to stress involves an increase in the intensity of protein synthesis by the cell, which requires more ribosomes. The activity of genes involved in the ribosome biogenesis is increased in the cells of patients with schizophrenia [23, 24]. We have shown for the first time that the high level of rRNA synthesis in SZ(C) and SZ(P) groups is achieved not only due to a larger number of rDNA copies in the genomes of patients, but also by means of an abnormally high level of rRNA synthesis per one rDNA copy (Fig. 1C).

To explain the result obtained, Fig. 6 represents a diagram showing the structural and functional organization of ribosomal repeats in human cells. About 30–40% of the rDNA copies are in a potentially active (poised) state and ready for transcription. These copies are not methylated and are in an open (non-nucleosomal) conformation. The number of potentially active rDNA copies was shown to positively correlate with the total number of rDNA copies in the cell [44]. However, in the fraction of potentially active (poised) rDNA copies, not all copies are transcribed at a given time. The number of copies being actually transcribed (fraction 1 in Fig. 6) depends on the cell’s demand for a certain number of ribosomes. The data shown in Fig. 1C indicate a larger fraction 1 size in the blood leukocytes of schizophrenia patients in both groups compared to controls. The total level of rRNA in the cells of patients was increased, which confirms the increased activity of the ribosome biogenesis process [23, 24]. The amount of rRNA in the cells of patients with catatonia was higher than in the cells of patients with paranoid form (Fig. 1D). This fact can be explained by larger numbers of rDNA copies in the genomes of patients with catatonia (Fig. 1A), resulting in a larger fraction of potentially active copies.

The importance of the increased rDNA CN in the genomes of schizophrenic patients for the adaptive response to chronic stress is particularly evident in the group of patients with catatonia. A large number of rDNA copies (more than 500) in leukocytes of SZ(C) group was associated with longer telomeres (Fig. 2), a lower level of DNA oxidation (Fig. 3B), and low levels of the pro-oxidant protein NOX4 (Fig. 4) and the pro-apoptotic protein BAX (Fig. 5). The increased number of rDNA copies, providing an exaggerated level of ribosome biogenesis, allows the cells to successfully cope with the high level of stress associated with the disease. A number of authors have repeatedly raised the question of the advisability of using antioxidants and redox-regulated transcription factor-targeting drugs (including NRF2 activators) to improve the well-being of SZ patients [71]. Results of clinical trials indicate that antioxidant therapy has a positive effect on patients with treatment-resistant schizophrenia [72, 73, 74]. However, in some cases, a paradoxical increase in reactive oxygen species production has been observed as a result of antioxidant therapy [75]. Therefore, antioxidant therapy should be controlled. Blood biomarkers (8-oxodG, γH2AX, NOX4, NRF2 and BAX) described in this work can be used as criteria for prescribing antioxidant therapy and its duration. Genetic analysis of rDNA CN may also be helpful. Identification of high-risk patient subgroups with low rDNA CN and high redox imbalance will allow choosing the optimal targeted treatment strategy for each patient.

5. Conclusion

Blood cells of patients with catatonia contain more copies of ribosomal genes than cells of patients with paranoid schizophrenia, which correlates with a higher content of ribosomal RNA in the cells of patients with catatonia. An increased level of ribosome biogenesis seems to be necessary to respond to a higher level of oxidative stress in the cells of catatonic patients compared to those of paranoid patients.

Availability of Data and Materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

References

[1]

Yang M, Li J, Yang H, Yan L, Liu D, Zhu L, et al. Cognitive Impairment and Psychopathology Are Related to Plasma Oxidative Stress in Long Term Hospitalized Patients With Chronic Schizophrenia. Frontiers in Psychiatry. 2022; 13: 896694. https://doi.org/10.3389/fpsyt.2022.896694.

[2]

Sawa A, Sedlak TW. Oxidative stress and inflammation in schizophrenia. Schizophrenia Research. 2016; 176: 1–2. https://doi.org/10.1016/j.schres.2016.06.014.

[3]

Bai ZL, Li XS, Chen GY, Du Y, Wei ZX, Chen X, et al. Serum Oxidative Stress Marker Levels in Unmedicated and Medicated Patients with Schizophrenia. Journal of Molecular Neuroscience. 2018; 66: 428–436. https://doi.org/10.1007/s12031-018-1165-4.

[4]

Zhang XY, Chen DC, Tan YL, Tan SP, Wang ZR, Yang FD, et al. The interplay between BDNF and oxidative stress in chronic schizophrenia. Psychoneuroendocrinology. 2015; 51: 201–208. https://doi.org/10.1016/j.psyneuen.2014.09.029.

[5]

Ermakov EA, Dmitrieva EM, Parshukova DA, Kazantseva DV, Vasilieva AR, Smirnova LP. Oxidative Stress-Related Mechanisms in Schizophrenia Pathogenesis and New Treatment Perspectives. Oxidative Medicine and Cellular Longevity. 2021; 2021: 8881770. https://doi.org/10.1155/2021/8881770.

[6]

Madireddy S, Madireddy S. Regulation of Reactive Oxygen Species-Mediated Damage in the Pathogenesis of Schizophrenia. Brain Sciences. 2020; 10: 742. https://doi.org/10.3390/brainsci10100742.

[7]

Gonzalez-Liencres C, Tas C, Brown EC, Erdin S, Onur E, Cubukcoglu Z, et al. Oxidative stress in schizophrenia: a case-control study on the effects on social cognition and neurocognition. BMC Psychiatry. 2014; 14: 268. https://doi.org/10.1186/s12888-014-0268-x.

[8]

Kostyuk SV, Ershova ES, Martynov AV, Artyushin AV, Porokhovnik LN, Malinovskaya EM, et al. In Vitro Analysis of Biological Activity of Circulating Cell-Free DNA Isolated from Blood Plasma of Schizophrenic Patients and Healthy Controls-Part 2: Adaptive Response. Genes. 2022; 13: 2283. https://doi.org/10.3390/genes13122283.

[9]

Giangreco B, Dwir D, Klauser P, Jenni R, Golay P, Cleusix M, et al. Characterization of early psychosis patients carrying a genetic vulnerability to redox dysregulation: a computational analysis of mechanism-based gene expression profile in fibroblasts. Molecular Psychiatry. 2023; 28: 1983–1994. https://doi.org/10.1038/s41380-023-02034-x.

[10]

Rivalta A, Hiregange DG, Bose T, Rajan KS, Yonath A, Zimmerman E, et al. Ribosomes: from conserved origin to functional/medical mobility and heterogeneity. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 2025; 380: 20230393. https://doi.org/10.1098/rstb.2023.0393.

[11]

Harold CM. All these screens that we’ve done: how functional genetic screens have informed our understanding of ribosome biogenesis. Bioscience Reports. 2023; 43: BSR20230631. https://doi.org/10.1042/BSR20230631.

[12]

Tahmasebi S, Khoutorsky A, Mathews MB, Sonenberg N. Translation deregulation in human disease. Nature Reviews. Molecular Cell Biology. 2018; 19: 791–807. https://doi.org/10.1038/s41580-018-0034-x.

[13]

Baßler J, Hurt E. Eukaryotic Ribosome Assembly. Annual Review of Biochemistry. 2019; 88: 281–306. https://doi.org/10.1146/annurev-biochem-013118-110817.

[14]

Kampen KR, Sulima SO, Vereecke S, De Keersmaecker K. Hallmarks of ribosomopathies. Nucleic Acids Research. 2020; 48: 1013–1028. https://doi.org/10.1093/nar/gkz637.

[15]

Narla A, Ebert BL. Ribosomopathies: human disorders of ribosome dysfunction. Blood. 2010; 115: 3196–3205. https://doi.org/10.1182/blood-2009-10-178129.

[16]

Gonzalez IL, Sylvester JE. Human rDNA: evolutionary patterns within the genes and tandem arrays derived from multiple chromosomes. Genomics. 2001; 73: 255–263. https://doi.org/10.1006/geno.2001.6540.

[17]

Hori Y, Shimamoto A, Kobayashi T. The human ribosomal DNA array is composed of highly homogenized tandem clusters. Genome Research. 2021; 31: 1971–1982. https://doi.org/10.1101/gr.275838.121.

[18]

Larson DE, Zahradka P, Sells BH. Control points in eucaryotic ribosome biogenesis. Biochemistry and Cell Biology = Biochimie et Biologie Cellulaire. 1991; 69: 5–22. https://doi.org/10.1139/o91-002.

[19]

Laferté A, Favry E, Sentenac A, Riva M, Carles C, Chédin S. The transcriptional activity of RNA polymerase I is a key determinant for the level of all ribosome components. Genes & Development. 2006; 20: 2030–2040. https://doi.org/10.1101/gad.386106.

[20]

Chestkov IV, Jestkova EM, Ershova ES, Golimbet VE, Lezheiko TV, Kolesina NY, et al. Abundance of ribosomal RNA gene copies in the genomes of schizophrenia patients. Schizophrenia Research. 2018; 197: 305–314. https://doi.org/10.1016/j.schres.2018.01.001.

[21]

Ershova ES, Malinovskaya EM, Golimbet VE, Lezheiko TV, Zakharova NV, Shmarina GV, et al. Copy number variations of satellite III (1q12) and ribosomal repeats in health and schizophrenia. Schizophrenia Research. 2020; 223: 199–212. https://doi.org/10.1016/j.schres.2020.07.022.

[22]

Li S, Otsuka I, Tanifuji T, Okazaki S, Horai T, Takahashi M, et al. Ribosomal DNA gene copies are increased in blood and brain of Japanese schizophrenia patients. PLoS ONE. 2023; 18: e0280694. https://doi.org/10.1371/journal.pone.0280694.

[23]

Dor H, Hertzberg L. Schizophrenia Biomarkers: Blood Transcriptome Suggests Two Molecular Subtypes. Neuromolecular Medicine. 2024; 26: 50. https://doi.org/10.1007/s12017-024-08817-x.

[24]

Mekiten O, Yitzhaky A, Gould N, Rosenblum K, Hertzberg L. Ribosome subunits are upregulated in brain samples of a subgroup of individuals with schizophrenia: A systematic gene expression meta-analysis. Journal of Psychiatric Research. 2023; 164: 372–381. https://doi.org/10.1016/j.jpsychires.2023.06.013.

[25]

Veiko NN, Ershova ES, Kondratyeva EI, Porokhovnik LN, Zinchenko RA, Melyanovskaya YL, et al. Copy Number Variations of Human Ribosomal Genes in Health and Disease: Role and Causes. Frontiers in Bioscience (Landmark Edition). 2025; 30: 25765. https://doi.org/10.31083/FBL25765.

[26]

Fornaro M. Catatonia: a narrative review. Central Nervous System Agents in Medicinal Chemistry. 2011; 11: 73–79. https://doi.org/10.2174/187152411794961031.

[27]

Rasmussen SA, Mazurek MF, Rosebush PI. Catatonia: Our current understanding of its diagnosis, treatment and pathophysiology. World Journal of Psychiatry. 2016; 6: 391–398. https://doi.org/10.5498/wjp.v6.i4.391.

[28]

Beckmann H, Franzek E, Stöber G. Genetic heterogeneity in catatonic schizophrenia: a family study. American Journal of Medical Genetics. 1996; 67: 289–300. https://doi.org/10.1002/(SICI)1096-8628(19960531)67:3<289::AID-AJMG5>3.0.CO;2-I.

[29]

Rogers JP, Pollak TA, Begum N, Griffin A, Carter B, Pritchard M, et al. Catatonia: demographic, clinical and laboratory associations. Psychological Medicine. 2023; 53: 2492–2502. https://doi.org/10.1017/S0033291721004402.

[30]

Bush G, Fink M, Petrides G, Dowling F, Francis A. Catatonia. I. Rating scale and standardized examination. Acta Psychiatrica Scandinavica. 1996; 93: 129–136. https://doi.org/10.1111/j.1600-0447.1996.tb09814.x.

[31]

Shigenaga MK, Ames BN. Assays for 8-hydroxy-2’-deoxyguanosine: a biomarker of in vivo oxidative DNA damage. Free Radical Biology & Medicine. 1991; 10: 211–216. https://doi.org/10.1016/0891-5849(91)90078-h.

[32]

Pilger A, Rüdiger HW. 8-Hydroxy-2’-deoxyguanosine as a marker of oxidative DNA damage related to occupational and environmental exposures. International Archives of Occupational and Environmental Health. 2006; 80: 1–15. https://doi.org/10.1007/s00420-006-0106-7.

[33]

Valdiglesias V, Giunta S, Fenech M, Neri M, Bonassi S. γH2AX as a marker of DNA double strand breaks and genomic instability in human population studies. Mutation Research. 2013; 753: 24–40. https://doi.org/10.1016/j.mrrev.2013.02.001.

[34]

Solh T, Cevher ŞC. The relationship between neuropsychiatric disorders and aging: A review on telomere length, oxidative stress, and inflammation. Behavioural Brain Research. 2025; 485: 115528. https://doi.org/10.1016/j.bbr.2025.115528.

[35]

Mlakar V, Akkouh I, Halff EF, Srivastava DP, Birkenæs V, Ueland T, et al. Telomere biology and its maintenance in schizophrenia spectrum disorders: Exploring links to cognition. Schizophrenia Research. 2024; 272: 89–95. https://doi.org/10.1016/j.schres.2024.08.011.

[36]

Ayora M, Fraguas D, Abregú-Crespo R, Recio S, Blasco MA, Moises A, et al. Leukocyte telomere length in patients with schizophrenia and related disorders: a meta-analysis of case-control studies. Molecular Psychiatry. 2022; 27: 2968–2975. https://doi.org/10.1038/s41380-022-01541-7.

[37]

Nguyen TT, Eyler LT, Jeste DV. Systemic Biomarkers of Accelerated Aging in Schizophrenia: A Critical Review and Future Directions. Schizophrenia Bulletin. 2018; 44: 398–408. https://doi.org/10.1093/schbul/sbx069.

[38]

Guo S, Chen X. The human Nox4: gene, structure, physiological function and pathological significance. Journal of Drug Targeting. 2015; 23: 888–896. https://doi.org/10.3109/1061186X.2015.1036276.

[39]

Ma MW, Wang J, Zhang Q, Wang R, Dhandapani KM, Vadlamudi RK, et al. NADPH oxidase in brain injury and neurodegenerative disorders. Molecular Neurodegeneration. 2017; 12: 7. https://doi.org/10.1186/s13024-017-0150-7.

[40]

Kasai S, Shimizu S, Tatara Y, Mimura J, Itoh K. Regulation of Nrf2 by Mitochondrial Reactive Oxygen Species in Physiology and Pathology. Biomolecules. 2020; 10: 320. https://doi.org/10.3390/biom10020320.

[41]

Mir S, Ormsbee Golden BD, Griess BJ, Vengoji R, Tom E, Kosmacek EA, et al. Upregulation of Nox4 induces a pro-survival Nrf2 response in cancer-associated fibroblasts that promotes tumorigenesis and metastasis, in part via Birc5 induction. Breast Cancer Research. 2022; 24: 48. https://doi.org/10.1186/s13058-022-01548-6.

[42]

Oltvai ZN, Milliman CL, Korsmeyer SJ. Bcl-2 heterodimerizes in vivo with a conserved homolog, Bax, that accelerates programmed cell death. Cell. 1993; 74: 609–619. https://doi.org/10.1016/0092-8674(93)90509-o.

[43]

Hardwick JM, Soane L. Multiple functions of BCL-2 family proteins. Cold Spring Harbor Perspectives in Biology. 2013; 5: a008722. https://doi.org/10.1101/cshperspect.a008722.

[44]

Veĭko NN, Egolina NA, Radzivil GG, Nurbaev SD, Kosiakova NV, Shubaeva NO, et al. Quantitative analysis of repetitive sequences in human genomic DNA and detection of an elevated ribosomal repeat copy number in patients with schizophrenia (the results of molecular and cytogenetic analysis). Molekuliarnaia Biologiia. 2003; 37: 409–419.

[45]

Lindqvist D, Epel ES, Mellon SH, Penninx BW, Révész D, Verhoeven JE, et al. Psychiatric disorders and leukocyte telomere length: Underlying mechanisms linking mental illness with cellular aging. Neuroscience and Biobehavioral Reviews. 2015; 55: 333–364. https://doi.org/10.1016/j.neubiorev.2015.05.007.

[46]

Squassina A, Manchia M, Pisanu C, Ardau R, Arzedi C, Bocchetta A, et al. Telomere attrition and inflammatory load in severe psychiatric disorders and in response to psychotropic medications. Neuropsychopharmacology. 2020; 45: 2229–2238. https://doi.org/10.1038/s41386-020-00844-z.

[47]

Ershova ES, Shmarina GV, Martynov AV, Zakharova NV, Veiko RV, Umriukhin PE, et al. NADPH-oxidase 4 gene over-expression in peripheral blood lymphocytes of the schizophrenia patients. PLoS ONE. 2022; 17: e0269130. https://doi.org/10.1371/journal.pone.0269130.

[48]

Korsmeyer SJ, Shutter JR, Veis DJ, Merry DE, Oltvai ZN. Bcl-2/Bax: a rheostat that regulates an anti-oxidant pathway and cell death. Seminars in Cancer Biology. 1993; 4: 327–332.

[49]

Russo P, Prinzi G, Proietti S, Lamonaca P, Frustaci A, Boccia S, et al. Shorter telomere length in schizophrenia: Evidence from a real-world population and meta-analysis of most recent literature. Schizophrenia Research. 2018; 202: 37–45. https://doi.org/10.1016/j.schres.2018.07.015.

[50]

Sánchez-González JL, Sánchez-Gil A, Vicente-Muñoz E, Navarro-López V, Martín-Vallejo J, Perez J. Pharmacological interventions and telomere length in patients with schizophrenia and bipolar disorder: A systematic review and meta-analysis. Journal of Psychiatric Research. 2025; 186: 33–49. https://doi.org/10.1016/j.jpsychires.2025.04.001.

[51]

Ormerod MBEG, Ueland T, Aas M, Hjell G, Rødevand L, Sæther LS, et al. Limited evidence of association between dysregulated immune marker levels and telomere length in severe mental disorders. Acta Neuropsychiatrica. 2025; 37: e4. https://doi.org/10.1017/neu.2024.62.

[52]

Sánchez-González JL, Juárez-Vela R, Dutil Muñoz de la Torre V, Andrés-Olivera MDP, Martín-Vallejo J, Morán-Bayón Á et al. Effect of strength-based physical exercise on telomere length as a marker of premature ageing in patients with schizophrenia: study protocol for a pilot randomised controlled trial. BJPsych Open. 2024; 10: e162. https://doi.org/10.1192/bjo.2024.753.

[53]

Uzuncakmak SK, Dirican E, Ozcan H, Takim U. Relation of ATPase6 Mutations and Telomere Length in Schizophrenia Patients. Clinical Psychopharmacology and Neuroscience. 2023; 21: 162–170. https://doi.org/10.9758/cpn.2023.21.1.162.

[54]

Talarico F, Xavier G, Ota VK, Spindola LM, Maurya PK, Tempaku PF, et al. Aging biological markers in a cohort of antipsychotic-naïve first-episode psychosis patients. Psychoneuroendocrinology. 2021; 132: 105350. https://doi.org/10.1016/j.psyneuen.2021.105350.

[55]

Schürhoff F, Corfdir C, Pignon B, Lajnef M, Richard JR, Marcos E, et al. No alteration of leukocyte telomere length in first episode psychosis. Psychiatry Research. 2021; 301: 113941. https://doi.org/10.1016/j.psychres.2021.113941.

[56]

Gurvich C, Thomas N, Hudaib AR, Van Rheenen TE, Thomas EHX, Tan EJ, et al. The relationship between cognitive clusters and telomere length in bipolar-schizophrenia spectrum disorders. Psychological Medicine. 2023; 53: 5119–5126. https://doi.org/10.1017/S0033291722002148.

[57]

Pippal N, Halder S, Srivastava S, Kar R, Gupta R, Anthonio AE. Correlation between telomere length and efficacy of oral and long-acting injectable antipsychotics on severity and cognitive impairment of schizophrenia. International Journal of Psychiatry in Clinical Practice. 2022; 26: 157–164. https://doi.org/10.1080/13651501.2021.1994613.

[58]

Goh XX, Tang PY, Tee SF. 8-Hydroxy-2’-Deoxyguanosine and Reactive Oxygen Species as Biomarkers of Oxidative Stress in Mental Illnesses: A Meta-Analysis. Psychiatry Investigation. 2021; 18: 603–618. https://doi.org/10.30773/pi.2020.0417.

[59]

Jorgensen A, Broedbaek K, Fink-Jensen A, Knorr U, Greisen Soendergaard M, Henriksen T, et al. Increased systemic oxidatively generated DNA and RNA damage in schizophrenia. Psychiatry Research. 2013; 209: 417–423. https://doi.org/10.1016/j.psychres.2013.01.033.

[60]

Ibrahim RR, Amer RA, Abozeid AA, Elsharaby RM, Shafik NM. Micro RNA 146a gene variant / TNF-α / IL-6 / IL-1 β; A cross-link axis inbetween oxidative stress, endothelial dysfunction and neuro-inflammation in acute ischemic stroke and chronic schizophrenic patients. Archives of Biochemistry and Biophysics. 2020; 679: 108193. https://doi.org/10.1016/j.abb.2019.108193.

[61]

Sertan Copoglu U, Virit O, Hanifi Kokacya M, Orkmez M, Bulbul F, Binnur Erbagci A, et al. Increased oxidative stress and oxidative DNA damage in non-remission schizophrenia patients. Psychiatry Research. 2015; 229: 200–205. https://doi.org/10.1016/j.psychres.2015.07.036.

[62]

Christensen MR, Poulsen HE, Henriksen T, Weimann A, Ellervik C, Lynnerup N, et al. Elevated levels of 8-oxoGuo and 8-oxodG in individuals with severe mental illness - An autopsy-based study. Free Radical Biology & Medicine. 2018; 126: 372–378. https://doi.org/10.1016/j.freeradbiomed.2018.08.029.

[63]

Nishioka N, Arnold SE. Evidence for oxidative DNA damage in the hippocampus of elderly patients with chronic schizophrenia. The American Journal of Geriatric Psychiatry. 2004; 12: 167–175.

[64]

Nordholm D, Poulsen HE, Hjorthøj C, Randers L, Nielsen MØ Wulff S, et al. Systemic oxidative DNA and RNA damage are not increased during early phases of psychosis: A case control study. Psychiatry Research. 2016; 241: 201–206. https://doi.org/10.1016/j.psychres.2016.04.062.

[65]

Şimşek Ş Gençoğlan S, Yüksel T, Kaplan İ Alaca R, Aktaş H. Oxidative Stress and DNA Damage in Untreated First-Episode Psychosis in Adolescents. Neuropsychobiology. 2016; 73: 92–97. https://doi.org/10.1159/000444488.

[66]

Catts VS, Catts SV, Jablensky A, Chandler D, Weickert CS, Lavin MF. Evidence of aberrant DNA damage response signalling but normal rates of DNA repair in dividing lymphoblasts from patients with schizophrenia. The World Journal of Biological Psychiatry. 2012; 13: 114–125. https://doi.org/10.3109/15622975.2011.565073.

[67]

Jarskog LF, Glantz LA, Gilmore JH, Lieberman JA. Apoptotic mechanisms in the pathophysiology of schizophrenia. Progress in Neuro-Psychopharmacology & Biological Psychiatry. 2005; 29: 846–858. https://doi.org/10.1016/j.pnpbp.2005.03.010.

[68]

Beyazyüz M, Küfeciler T, Bulut L, Ünsal C, Albayrak Y, Akyol ES, et al. Increased serum levels of apoptosis in deficit syndrome schizophrenia patients: a preliminary study. Neuropsychiatric Disease and Treatment. 2016; 12: 1261–1268. https://doi.org/10.2147/NDT.S106993.

[69]

Yakovchik A, Mamchur A, Kashtanova D, Ivanov M, Zelenova E, Bruttan M, et al. Enhancing genetic discovery through narrow phenotyping in schizophrenia. Journal of Psychiatric Research. 2025; 181: 55–63. https://doi.org/10.1016/j.jpsychires.2024.11.033.

[70]

Konkova M, Abramova M, Kalianov A, Ershova E, Dolgikh O, Umriukhin P, et al. Mesenchymal Stem Cells Early Response to Low-Dose Ionizing Radiation. Frontiers in Cell and Developmental Biology. 2020; 8: 584497. https://doi.org/10.3389/fcell.2020.584497.

[71]

Berk M, Copolov D, Dean O, Lu K, Jeavons S, Schapkaitz I, et al. N-acetyl cysteine as a glutathione precursor for schizophrenia–a double-blind, randomized, placebo-controlled trial. Biological Psychiatry. 2008; 64: 361–368. https://doi.org/10.1016/j.biopsych.2008.03.004.

[72]

Chen AT, Chibnall JT, Nasrallah HA. Placebo-controlled augmentation trials of the antioxidant NAC in schizophrenia: A review. Annals of Clinical Psychiatry. 2016; 28: 190–196.

[73]

Bulut M, Savas HA, Altindag A, Virit O, Dalkilic A. Beneficial effects of N-acetylcysteine in treatment resistant schizophrenia. The World Journal of Biological Psychiatry. 2009; 10: 626–628. https://doi.org/10.1080/15622970903144004.

[74]

Almulla AF, Maes M. Peripheral Immune-Inflammatory Pathways in Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: Exploring Their Potential as Treatment Targets. CNS Drugs. 2025; 39: 739–762. https://doi.org/10.1007/s40263-025-01195-3.

[75]

Pérez-Torres I, Guarner-Lans V, Rubio-Ruiz ME. Reductive Stress in Inflammation-Associated Diseases and the Pro-Oxidant Effect of Antioxidant Agents. International Journal of Molecular Sciences. 2017; 18: 2098. https://doi.org/10.3390/ijms18102098.

PDF (14040KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/