Figures
Abstract
The co-occurrence of alcohol use disorder (AUD) and schizophrenia is prevalent, with a rate of 33.7%. Previous research has suggested a genetic and epigenetic overlap between these two disorders. SSTR4, a member of the somatostatin receptor family, is implicated in various neurological and psychiatric conditions, including cognitive function, AUD, and schizophrenia. However, the role of genetic-epigenetic interactions involving SSTR4 in patients with schizophrenia remains unexplored. In this study, we conducted an integration of publicly available datasets and identified allele-specific methylation patterns in SSTR4. Additionally, we pinpointed several genetic variants (rs17691954, rs11464356, rs3109190, and rs145879288) that influence the pace of aging and cognitive functions (rs705935) through their quantitative trait loci effects on CpG sites within SSTR4.
Citation: Zhao R, Shi H, Wang Y, Jiang T, Xu Y (2025) Allele-specific methylation of SSTR4 associated with aging and cognitive functions in patients with schizophrenia. PLoS ONE 20(2): e0303038. https://doi.org/10.1371/journal.pone.0303038
Editor: Chunyu Liu, State University of New York Upstate Medical University, UNITED STATES OF AMERICA
Received: November 14, 2023; Accepted: April 18, 2024; Published: February 5, 2025
Copyright: © 2025 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All data used in this study can be accessed on websites including Genotype-Tissue Expression (GTEx) project (https://www.gtexportal.org/), Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/), and EWAS Open Platform (https://ngdc.cncb.ac.cn/ewas/) including EWAS Atlas (https://ngdc.cncb.ac.cn/ewas/atlas), EWAS Data Hub (https://ngdc.cncb.ac.cn/ewas/datahub/) and EWAS Toolkit (https://ngdc.cncb.ac.cn/ewas/toolkit).
Funding: This study is funded by Henan Provincial Science and Technology Research Projects (No.232102310133 and No.232102310109).
Competing interests: The authors have declared that no competing interests exist.
Introduction
The comorbidity of alcohol use disorder (AUD) and schizophrenia is not only prevalent but also presents a complex challenge in psychiatric care, with significant implications for treatment and prognosis. The severity of this comorbidity, noting that AUDs are often comorbid with psychiatric disorders like schizophrenia, with a comorbidity rate of approximately 33.7% [1]. This high rate of comorbidity underscores the intertwined nature of these disorders and the need for integrated treatment approaches. A genome-wide analysis revealing genetic overlap between alcohol use behaviors, schizophrenia, and bipolar disorder further emphasizing the genetic and biological underpinnings of this comorbidity [2] and suggesting a shared genetic architecture with a complex relationship between these disorders at a molecular level. The clinical implications of this comorbidity are profound. For example, an alcohol-induced psychotic disorder (AIPD) study found a significant prevalence of AIPD among patients treated for alcohol use, with notable comorbidity with other psychiatric disorders, including schizophrenia [3]. This finding points to the intricate clinical presentation and the challenges in distinguishing and treating comorbid conditions. Moreover, the comorbidity of AUD and schizophrenia is not isolated to specific populations: sexual orientation minorities showed a higher rate of substance use disorders and mental health issues, including schizophrenia [4]. This indicates the need for culturally sensitive and diverse treatment strategies.
The abnormality of methylation in AUD and schizophrenia has been a focus of recent research, shedding light on the complex genetic and epigenetic interactions underlying these disorders. Goetjen et al. explored the methylation at the GABRA2 promoter in the context of AUD, revealing that methylation is associated with decreased GABRA2 gene expression, which extends to the GABRB1 gene, indicating a potential epigenetic mechanism in AUD [5] Similarly, Guidotti et al. investigated the DNA methylation/demethylation network in psychotic patients with a history of alcohol abuse, finding alterations in DNA-methyltransferase-1 (DNMT1) and other related enzymes, suggesting a complex interplay between alcohol abuse and epigenetic regulation in psychotic disorders [6]. McCunn et al. using magnetic resonance spectroscopy in a rat model of co-occurring AUD and schizophrenia revealed alterations in GABA and glutamine that may underlie alcohol drinking behavior, pointing towards potential epigenetic factors in the comorbidity of these disorders [7]. Furthermore, Longley et al. reviewed the role of DNA methylation in AUD, highlighting the rapid growth in studies investigating this epigenetic modification and its contribution to AUD, with a particular emphasis on the immune system’s involvement [8]. These studies collectively underscore the significance of methylation abnormalities in the etiology and progression of AUD and schizophrenia. They reveal a complex landscape where genetic predispositions, environmental factors, and epigenetic modifications interplay, contributing to the manifestation and comorbidity of these disorders. This growing body of research not only enhances our understanding of the molecular basis of AUD and schizophrenia but also opens avenues for potential therapeutic interventions targeting these epigenetic alterations.
SSTR4, a member of the somatostatin receptor family, has implications in various neurological and psychiatric conditions, encompassing cognitive function [9], AUD [10], and schizophrenia [11]. However, there is a scarcity of direct investigations centered on SSTR4. Our previous studies [12] validated that promoter-specific methylation of SSTR4 contributes to the development of AUD and serves as a potential biomarker for assessing AUD severity by predicting chronic alcohol consumption. Nevertheless, the clinical significance of SSTR4 in individuals with schizophrenia remains uncertain and warrants exploration. Consequently, this study seeks to investigate the role of SSTR4 methylation in patients with schizophrenia.
Methods and materials
Data source
All data used in this study are collected from the public databases including Genotype-Tissue Expression (GTEx) project (https://www.gtexportal.org/), Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/), and EWAS Open Platform [13] (https://ngdc.cncb.ac.cn/ewas/) including EWAS Atlas (https://ngdc.cncb.ac.cn/ewas/atlas), EWAS Data Hub (https://ngdc.cncb.ac.cn/ewas/datahub/) and EWAS Toolkit (https://ngdc.cncb.ac.cn/ewas/toolkit). All genomic locations are given in GRCh37.
Tissue expression analysis
We utilized GTEx to analyze the expression patterns of SSTR4 across various tissues. Gene expression levels in different tissues were assessed by the median transcript count.
Tissue methylation analysis
We employed the EWAS Data Hub [13] to analyze the methylation status of SSTR4 in various tissues. Methylation status of SSTR4 was evaluated at distinct locations, namely, the promoter region and gene body region. We assessed methylation levels at different tissue-specific positions (promoter and gene body regions) by calculating the average beta value.
Aging pace analysis
We employed Pearson correlation analysis to examine aging pace. We compared the relationship between chronological age and SSTR4 methylation levels. Additionally, we used the Epigenetic Clock (https://dnamage.clockfoundation.org/) to calculate epigenetic age and assessed its correlation with SSTR4 methylation levels.
Brain-Blood correlation in methylation of SSTR4
The inter-tissue DNA methylation consistency of SSTR4 between brain tissues and whole blood was assessed using the Blood Brain DNA Methylation Comparison Tool (https://epigenetics.essex.ac.uk/bloodbrain/). We compared the consistency in a total of 10 CpG sites from SSTR4 including cg01277511, cg01471923, cg07032439, cg07676859, cg10019507, cg14631053, cg16502866, cg17586860, cg18197392, and cg22534145.
Methylation quantitative trait loci analysis
We conducted an analysis of methylation quantitative trait loci (meQTLs) for CpG sites originating from SSTR4 using the MeQTL EPIC Database (https://epicmeqtl.kcl.ac.uk/) [14] and mQTLdb (http://www.mqtldb.org/) [15]. The genetic variant that acts as meQTL will be further clumped due to the linkage disequilibrium (LD, R2 or D`> 0.2).
LD trait analysis
To confirm what trait the meQTL may involve, LD trait analysis was conducted on LDlink Platform (https://ldlink.nih.gov/). We use the clumped meQTLs to examine the genetic variant affected trait from the summary of genome-wide association study.
Ethics and approval
This study was approved by the Ethics Committee of The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology (No. 2023–465), and written informed consent was obtained from each participant. All methods were carried out in accordance with relevant institutional guidelines and regulations.
Results
Abundant expression of SSTR4 in brain tissues as well as whole blood
SSTR4 (Somatostatin receptor 4) is implicated in an array of neuroendocrine, neurophysiological, and cognitive processes. Our previous finding indicated its abnormal methylation associated with alcohol dependence, one of substance use disorder that contributes to the risk of psychosis including schizophrenia. Encoded by the SSTR4 gene, it is predominantly expressed in neural tissues, as evidenced by Genotype-Tissue Expression (GTEx) project data (Fig 1A). High expression levels are recorded in various brain regions, notably in the cerebellar hemisphere, cerebellum, cortex, frontal cortex (BA9), anterior cingulate cortex (BA24), amygdala, nucleus accumbens, hippocampus, caudate, and hypothalamus.
This plot illustrates the expression and methylation status of SSTR4 in different tissues. (A) The top 10 SSTR4-expressed tissues are cerebellum hemisphere, cerebellum, cortex, frontal cortex, anterior cingulate cortex, amygdala, testis, nucleus accumbens, hippocampus, and caudate, respectively. (B) The methylation in promoter region of SSTR4 is hypomethylated whereas (C) in gene body region of SSTR4 is hypermethylated.
Further examination of the epigenetic landscape in EWAS Open Platform shows differential methylation patterns across the SSTR4 gene locus, with promoter hypomethylation (mean beta-value < 0.5, Fig 1B) suggesting transcriptional activation and gene body hypermethylation (mean beta-value > 0.5, Fig 1C) potentially enhancing gene expression. These findings align with the GTEx expression data, suggesting that epigenetic modifications in the SSTR4 gene are associated with its transcriptional activity and may influence its functional diversity in the brain.
It is important to note that no discernible differences were observed in the expression and methylation patterns of SSTR4 between males (n = 349) and females (n = 186) diagnosed with schizophrenia, as demonstrated in S1 and S2 Figs in S1 Appendix.
Methylation status of SSTR4 associated with the pace of epigenetic aging condition
We utilized epigenetic data from healthy individuals (nmale = 976, nfemale = 822, age ranging from 0 to 112 yrs) sourced from the EWAS Open Platform to explore the association between the methylation status of SSTR4 and aging conditions. A positive correlation (Fig 2) between chronological age and normalized beta values across multiple sites of SSTR4 in healthy people. Correlation coefficients (R) ranged from 0.2 to 0.52, with all p-values being < 2.2e-16, denoting strong statistical significance.
We conducted a comparison to assess the correlation between the normalized methylation levels of CpG sites within SSTR4 and chronological age. The significance of the correlation was determined using the Pearson correlation coefficient. Notably, the normalized beta values from CpG sites of SSTR4, with the exception of cg16502866, exhibited a significant correlation with chronological age.
Altered and tissue-specific DNA methylation of SSTR4 observed between healthy control and patients with schizophrenia
The methylation status of SSTR4 exhibits significant differences between healthy controls (ncontrol = 1,798) and patients with schizophrenia (ncase = 536) according to EWAS Open Platform, elucidating potential epigenetic mechanisms underlying the disease. In the promoter region (Fig 3A), a divergent methylation pattern is evident in tissues such as the cerebellum, frontal lobe, and whole blood, indicating differential regulation of SSTR4 expression in these areas. This variation extends to the gene body region (Fig 3B), where notable disparities in methylation patterns are observed between controls and schizophrenia patients in the cerebellum, dorsolateral prefrontal cortex, frontal cortex, frontal lobe, and striatum, in addition to whole blood. These epigenetic alterations suggest that SSTR4 may play a role in the pathophysiology of schizophrenia, possibly through its impact on gene expression and consequent neural functions.
In promoter region of SSTR4 (A), the methylation is obvious divergent in cerebellum and whole blood between patients with schizophrenia and healthy control. (B) In gene body region of SSTR4, except the dorsolateral prefrontal cortex, tissues including cerebellum, frontal cortex, frontal lobe, striatum, and whole blood showed the obvious divergent methylation between patients with schizophrenia and healthy controls.
Genetic-epigenetic interaction in SSTR4 associated with aging as well as cognitive function
Subsequently, we conducted an investigation to determine if the methylation of SSTR4 was influenced by genetic variants, specifically methylation quantitative trait loci (meQTLs). Our findings reveal that distinct genetic variants were responsible for regulating the methylation levels of SSTR4 at cg22534145, cg14631053, cg18197392, cg01277511, cg16502866, cg07676859, and cg17586860, each at different time points (see Table 1).
Moreover, our analysis of linkage disequilibrium (see Table 2) indicates that one of these meQTLs, rs705935, which affects cg22534145, is associated with cognitive function in genome-wide association studies. Additionally, our epigenome-wide association analysis (see Table 3) demonstrates that cg07676859 (regulated by rs35367249) and cg14631053 (regulated by rs17691954, rs11464356, rs3109190, and rs145879288) are associated with aging, while cg10019507, cg22534145, cg07676859, and cg18197392 are associated with substance use disorder.
Discussion
The present study elucidates the pivotal role of SSTR4 in neuroendocrine, neurophysiological, and cognitive processes through its abundant expression in various brain regions and whole blood. The genotype-tissue expression (GTEx) data substantiates the significant presence of SSTR4 in brain tissues, particularly within regions integral to cognitive and emotional processing, such as the cerebellum, cortex, and amygdala. This finding is in accordance with previous studies characterizing SSTR4 expression patterns in the brain [16], which have highlighted its involvement in aging pathways and potential as a novel cognitive drug target.
The diverse methylation patterns observed across the SSTR4 gene locus suggest complex epigenetic regulation, potentially contributing to the receptor’s functional diversity in the brain [12,17]. Promoter hypomethylation, indicating transcriptional activation, and gene body hypermethylation, potentially enhancing gene expression, align with GTEx expression data, suggesting a nuanced interplay between epigenetic modifications and transcriptional activity [12,18]. Our findings reveal dynamic allelic regulation of SSTR4 DNA methylation over time, with various loci exhibiting allele-specific methylation changes from pregnancy to middle age, implying varying sensitivity to alcohol exposure [19–22]. The meQTLs of SSTR4 that we have reported and cross-validated from public databases are trans-meQTLs. While cis-meQTLs, typically found near the methylation site they influence, are more numerous and play a significant role in gene expression regulation [23], trans-meQTLs, although fewer in number, exert a broader influence by affecting methylation at distant sites. They are particularly crucial for understanding responses to environmental changes [24] and complex disease mechanisms such as schizophrenia [25].
Patients with schizophrenia have exhibited a divergent epigenetic development trajectory [26]. This divergence prompts further exploration of the relationship between the methylation status of SSTR4 and the rate of epigenetic aging. Notably, the strong statistical significance observed in the correlation between chronological age and methylation at various SSTR4 sites aligns with the growing body of research linking epigenetic markers to the aging process [27,28]. Furthermore, the genetic-epigenetic interactions, specifically the associations of certain meQTLs (such as rs705935) with cognitive function, a core symptom domain in schizophrenia patients with implications for functional and social outcomes [29], and aging (rs17691954, rs11464356, rs3109190, and rs145879288) [30], underscore the intricate genetic underpinnings shaping SSTR4’s epigenetic landscape. It is noteworthy that the connection between meQTLs and cognitive abilities offers a genetic perspective on the susceptibility of abnormal SSTR4 methylation to psychostimulant exposure [12]. This association sheds light on the potential role of SSTR4 in neurocognitive disorders and warrants further investigation.
Somatostatin itself has been reported to exert inhibitory effects on pyramidal neurons, resulting in hypofrontality, a phenomenon associated with psychiatric disorders such as schizophrenia and addiction [31]. The observed differential DNA methylation of SSTR4 in specific tissues among healthy controls and individuals with schizophrenia provides valuable insights into potential epigenetic mechanisms associated with psychiatric disorders. The variation in methylation patterns in crucial brain regions and blood samples suggests the potential utility of SSTR4 methylation status as a peripheral biomarker for assessing both aging and cognitive impairment.
The potential impact of antipsychotics or smoking on the methylation status of SSTR4 gene remains a complex issue requiring further investigation. While specific studies on SSTR4 methylation in the context of antipsychotic use or smoking are limited, broader research suggests that antipsychotic drugs can induce changes in DNA methylation patterns, potentially influencing gene expression and contributing to therapeutic effects, side effects, and pharmacological actions at the cellular level [32–34]. Additionally, smoking is known to have widespread effects on DNA methylation across the genome, which may interact with the pharmacodynamics of antipsychotic drugs and influence neurotransmission-related gene expression. The impact of antipsychotics or smoking on SSTR4 methylation likely represents a complex interplay between genetic, environmental, and pharmacological factors, warranting further research to elucidate the specific epigenetic mechanisms involved and their implications for psychiatric disorders and treatments.
Research investigations into the relationship between the methylation status of the SSTR4 gene and cognitive function have yielded insights into potential epigenetic influences on cognition and disease states. While Grosser et al. [34] found no significant difference in SSTR4 promoter methylation between Alzheimer’s disease patients and controls, other studies have suggested associations between DNA methylation and cognitive impairment. Grove et al. [35] reported a link between oxytocin receptor methylation and general cognition in psychotic disorders, and our previous study [12] observed lower SSTR4 methylation levels in individuals with alcohol dependence. Furthermore, Liu et al. [36] discussed the potential involvement of DNA methylation in neuronal memory coding and age-related cognitive decline. These findings collectively highlight the complex interplay between epigenetic mechanisms, such as SSTR4 methylation, and cognitive processes, underscoring the need for further research to fully elucidate the implications of epigenetic regulation in cognitive function and pathology.
While the direct relationship between methylation of SSTR4 and schizophrenia has not been explicitly studied, a substantial body of research has implicated aberrant DNA methylation patterns in the pathogenesis of this psychiatric disorder. Studies have reported hypomethylation of genes like HTR2A [37], dysregulation of DNA methylation machinery enzymes [38], increased methylation of the 5HTR1A promoter [39], and genome-wide differentially methylated regions [40] in individuals with schizophrenia. Although the specific role of SSTR4 methylation remains unexplored, these findings collectively underscore the significance of epigenetic mechanisms, particularly DNA methylation, in schizophrenia’s etiopathology, suggesting that altered methylation patterns could represent a common feature across various genes and pathways implicated in this complex neuropsychiatric disorder.
The identification of reliable biomarkers that can accurately assess cognitive function in individuals with schizophrenia has the potential to revolutionize clinical management. SSTR4 is a promising candidate biomarker, as our study implicated its role in modulating cognitive processes and demonstrated alterations in SSTR4 expression and function in schizophrenia patients, correlating with cognitive deficits. Incorporating SSTR4 as a biomarker could facilitate early detection, disease monitoring, and evaluation of cognitive-enhancing therapies, enabling personalized treatment approaches and potentially improving long-term outcomes for individuals with schizophrenia.
In conclusion, the present study supports the hypothesis that SSTR4 is not only crucial for various brain functions but is also intricately regulated at an epigenetic level, influenced by both aging and genetic factors. These results lay the groundwork for future research into the therapeutic potential of targeting SSTR4 in neurodegenerative and psychiatric conditions. Further exploration of the epigenetic regulation of SSTR4 may illuminate new strategies for modulating its activity in disease states.
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