Peripheral Blood Leukocyte RNA-Seq Identifies a Set of Genes Related to Abnormal Psychomotor Behavior Characteristics in Patients with Schizophrenia

Peripheral Blood Leukocyte RNA-Seq Identifies a Set of Genes Related to Abnormal Psychomotor Behavior Characteristics in Patients with Schizophrenia

CLINICAL RESEARCH e-ISSN 1643-3750 © Med Sci Monit, 2020; 26: e922426 DOI: 10.12659/MSM.922426 Received: 2019.12.27 Accepted: 2020.01.21 Peripheral Blood Leukocyte RNA-Seq Identifies a Available online: 2020.02.03 Published: 2020.02.10 Set of Genes Related to Abnormal Psychomotor Behavior Characteristics in Patients with Schizophrenia Authors’ Contribution: ABCDEF 1 Yunqiao Zhang 1 Sixth Affiliated Hospital, Kunming Medical University, Yuxi, Yunnan, P.R. China Study Design A ABCF 1 Xu You 2 Key Laboratory of Animal Models and Human Disease Mechanisms of The Data Collection B Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Statistical Analysis C ABCD 2 Siwu Li Chinese Academy of Sciences, Kunming, Yunnan, P.R. China Data Interpretation D BCD 1 Qing Long Manuscript Preparation E BC 1 Yun Zhu Literature Search F Funds Collection G AEFG 1 Zhaowei Teng ABEFG 1 Yong Zeng Corresponding Authors: Yong Zeng, e-mail: [email protected], Zhaowei Teng, e-mail: [email protected] Source of support: This work was supported by the National Natural Science Foundation of China (81760253), Yunnan Application Research Plan (2018fe001-009) Background: Schizophrenia is a multigene disease with a complex etiology and different clinical manifestations. It is of great significance to understand the etiology and pathogenesis of schizophrenia patients from different clinical di- mensions and to interpret the potential molecular changes of schizophrenia patients from different clinical dimensions. Material/Methods: RNA-Seq was performed on peripheral blood leukocytes of 50 patients with schizophrenia and 50 healthy con- trols. Phenotypic information of patients with schizophrenia was collected during blood sampling. Differentially expressed genes (DEGs) were screened by the edgeR package of R software. To better analyze the correla- tion between DEG expression values, explore the potential association between differential genes and clini- cal dimensions of schizophrenia, and identify hub genes, we constructed a DEG co-expression network using weighted gene co-expression network analysis (WGCNA). Results: We provide the transcription profiles of peripheral blood leukocytes in patients with schizophrenia and found a gene module (including 89 genes) closely related to the clinical dimension of abnormal psychomotor behav- ior in schizophrenia. Conclusions: The findings enhance our understanding of the biological processes of schizophrenia, enabling us to identify specific clinical dimensions of genes for diagnosis and prognostic markers and possibly for targeted therapy. MeSH Keywords: Gene Expression Profiling • Leukocytes • Schizophrenia Full-text PDF: https://www.medscimonit.com/abstract/index/idArt/922426 4963 4 5 62 Indexed in: [Current Contents/Clinical Medicine] [SCI Expanded] [ISI Alerting System] This work is licensed under Creative Common Attribution- [ISI Journals Master List] [Index Medicus/MEDLINE] [EMBASE/Excerpta Medica] NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) e922426-1 [Chemical Abstracts/CAS] Zhang Y. et al.: CLINICAL RESEARCH Peripheral blood leukocyte RNA-seq identifies a set of genes related… © Med Sci Monit, 2020; 26: e922426 Background To further study the relationship between different dimensions of schizophrenia and heredity, we collected clinical information Schizophrenia is a common and difficult disease to treat clini- from schizophrenia patients and used the dimension method cally. Genetic factors play an important role in the pathogenesis in DSM-5 (Clinician-Rated Dimensions of Psychosis Symptom of schizophrenia [1–3]. It is generally accepted that schizophre- Severity scale) to assess the severity of the core symptoms of nia is a polygenic disease [4–7]. A single gene or SNP muta- schizophrenia [19,20]. If the score of the core symptoms in a tion site has little effect on schizophrenia [6]. Previous large- dimension was 2 or greater than 2, we considered the symp- scale genome-wide association studies (GWAS) have found toms in this dimension to be positive. If the score of the core that multiple genetic loci are closely related to the occurrence symptoms in a dimension was less than 2, we considered the of schizophrenia [8–10], however, identifying the risk chromo- symptoms in this dimension to be negative [17,19]. The total somes in schizophrenia is difficult. Great advancements have RNA of peripheral blood leukocytes from study participants been made in genetic research on schizophrenia in recent was collected at the same time as the dimension score as- years, with more than 100 genome-wide significant risk vari- sessment. After removing ribosomal RNA (rRNA), the DNA li- ations identified [10], but how reported risk variations affect brary was constructed. Illumina HiSeqTM 4000 sequencing the pathogenesis of schizophrenia remains elusive. Because technology was used to obtain information on the transcrip- schizophrenia is a mixed clinical syndrome, the clinical man- tion groups and to explore the differences in genes between 2 ifestations of schizophrenia vary. Some patients mainly have groups: schizophrenia patients and healthy controls who were positive symptoms such as delusions and hallucinations [11,12]. roughly matched for sex and age. Weighted gene co-expres- Whereas, some patients mainly have negative symptoms such sion network analysis (WGCNA) was used to analyze the rela- as apathy and decreased willpower [13,14]. Other patients tionship between differential genes and 8 clinical dimensions. have emotional symptoms such as mania or depression [15]. Interestingly, we found that Turquoise module was positively Schizophrenia is a heterogeneous aggregation of different clin- correlated with abnormal psychomotor behavior, and the dif- ical phenotypes. At present, clinical and basic research mostly ference was statistically significant. We randomly selected 5 focuses on schizophrenia itself. There are few studies on the hub genes (CXCL8, EGR1, EGR3, IL1B, and PTGS2) for quanti- relationship between different clinical manifestations and he- tative analysis. Quantitative real-time polymerase chain reac- redity. Defining the specific clinical dimensions of schizophre- tion (qRT-PCR) validation showed that the results were con- nia is a great challenge for psychiatrists. sistent with those of messenger RNA (mRNA) sequencing. In our study, the Turquoise module (89 genes) was identified as In the past, the traditional clinical classification system clas- new risk genes for the abnormal psychomotor behavior di- sified schizophrenia as paranoid, catatonic, simple, undiffer- mension of schizophrenia, and we speculate that risk varia- entiated, disorganized, and residual [16]. However, due to the tion might affect the expression of these genes. This leads to heterogeneity of the disease, the stability of clinical diagno- the susceptibility of patients with schizophrenia to the abnor- sis is poor, as is the standardization of treatment. Therefore, mal psychomotor behavior dimension. the 5th edition of the U.S. Diagnostic and Statistical Manual on Mental Illness (DSM-5; published in 2013) excludes these traditional subtypes of schizophrenia [17,18]. It is recom- Material and Methods mended that the psychiatric symptom severity rating scale be used to evaluate symptoms in different dimensions. In recent Study patients years, some scholars have divided the clinical manifestations of schizophrenia into the following 8 symptom groups (8-di- A total of 50 patients with schizophrenia were enrolled from mensional symptoms): abnormal psychomotor behavior, dis- the Honghe Second People’s Hospital and Yuxi Second People’s organized speech, hallucination, delusion, negative symptom, Hospital from May 2018 to July 2018. During the same period, impaired cognition, depression, and mania [17,19,20]. This 50 healthy volunteers with similar sex and age were recruited approach can deepen psychiatrists’ further understanding of into the normal control group at the Sixth Affiliated Hospital of schizophrenia and guide clinical treatment and scientific re- Kunming Medical University. After the patients with schizophre- search. Compared with the use of subtypes, the use of psy- nia and healthy controls provided informed consent, we used chopathological dimensions in DSM-5 significantly improves anticoagulant extraction to obtain 5 mL of peripheral blood. the ability to describe the heterogeneity of the disease in a more effective and clinically useful way, and this approach can Inclusion criteria for the patient case group be targeted to different dimensions of symptoms for research and treatment [19–22]. Inclusion criteria for the patient case group were as follows: 1) meet the criteria for diagnosis of schizophrenia in DSM-5; 2) first onset schizophrenia or no antipsychotic drugs for 5 Indexed in: [Current Contents/Clinical Medicine] [SCI Expanded] [ISI Alerting System] This work is licensed under Creative Common Attribution- [ISI Journals Master List] [Index Medicus/MEDLINE] [EMBASE/Excerpta Medica] NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) e922426-2 [Chemical Abstracts/CAS] Zhang Y. et al.: Peripheral blood leukocyte RNA-seq identifies a set of genes related… CLINICAL RESEARCH © Med Sci Monit, 2020; 26: e922426 weeks before enrollment; 3) Han Chinese aged 18 to 60 years; Total RNA extraction 4) no significant RNA degradation in the sample; and 5) signed informed consent and voluntary participation in this study. TRIzol reagent (Invitrogen, Carlsbad, CA, USA)

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