Genome-wide association study of antipsychotic-induced sinus bradycardia in Chinese schizophrenia patients

Weng, Saizheng; Wang, Bo; Li, Mo; Chao, Shan; Lin, Ruiqian; Zheng, Rongyan; Yu, Yun William; Guo, Shaonan; Lin, Xianhao

doi:10.1371/journal.pone.0249997

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…To achieve this goal, we uploaded common genes into the ToppGene through ToppFun section and then selected Gene Ontology (GO) to proceed the enrichment analysis for Molecular Function and Cellular Component of target genes. Also, our target genes were submitted into the KEEG pathway section of ToppGene database to investigate the possible disrupted pathways in both SCZ and OCD [ 29 , 30 ]. Statistical significance ( p < 0.05) was considered by a likelihood-ratio test with correction for FDR using Benjamini–Hochberg method to show multiple comparison.…”

Section: Methodsmentioning

confidence: 99%

Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive–compulsive disorder by integrated bioinformatics analysis

et al. 2023

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Schizophrenia (SCZ) is a severe mental illness mainly characterized by a number of psychiatric symptoms. Obsessive–compulsive disorder (OCD) is a long-lasting and devastating mental disorder. SCZ has high co-occurrence with OCD resulting in the emergence of a concept entitled “schizo-obsessive disorder” as a new specific clinical entity with more severe psychiatric symptoms. Many studies have been done on SCZ and OCD, but the common pathogenesis between them is not clear yet. Therefore, this study aimed to identify shared genetic basis, potential biomarkers and therapeutic targets between these two disorders. Gene sets were extracted from the Geneweaver and Harmonizome databases for each disorder. Interestingly, the combination of both sets revealed 89 common genes between SCZ and OCD, the most important of which were BDNF, SLC6A4, GAD1, HTR2A, GRIN2B, DRD2, SLC6A3, COMT, TH and DLG4. Then, we conducted a comprehensive bioinformatics analysis of the common genes. Receptor activity as the molecular functions, neuron projection and synapse as the cellular components as well as serotonergic synapse, dopaminergic synapse and alcoholism as the pathways were the most significant commonalities in enrichment analyses. In addition, transcription factor (TFs) analysis predicted significant TFs such as HMGA1, MAPK14, HINFP and TEAD2. Hsa-miR-3121-3p and hsa-miR-495-3p were the most important microRNAs (miRNAs) associated with both disorders. Finally, our study predicted 19 existing drugs (importantly, Haloperidol, Fluoxetine and Melatonin) that may have a potential influence on this co-occurrence. To summarize, this study may help us to better understand and handle the co-occurrence of SCZ and OCD by identifying potential biomarkers and therapeutic targets.

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Section: Methodsmentioning

confidence: 99%

Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive–compulsive disorder by integrated bioinformatics analysis

et al. 2023

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Use of potassium ion channel and spliceosome proteins as diagnostic biomarkers for sudden unexplained death in schizophrenia

Zhang

Wang²,

Tang³

et al. 2022

Forensic Science International

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Risperidone Response in Patients with Schizophrenia Drives DNA Methylation Changes in Immune and Neuronal Systems

et al. 2023

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Background: The choice of efficient antipsychotic therapy for schizophrenia relies on a time-consuming trial-and-error approach, whereas the social and economic burdens of the disease call for faster alternatives. Material & methods: In a search for predictive biomarkers of antipsychotic response, blood methylomes of 28 patients were analyzed before and 4 weeks into risperidone therapy. Results: Several CpGs exhibiting response-specific temporal dynamics were identified in otherwise temporally stable methylomes and noticeable global response-related differences were observed between good and bad responders. These were associated with genes involved in immunity, neurotransmission and neuronal development. Polymorphisms in many of these genes were previously linked with schizophrenia etiology and antipsychotic response. Conclusion: Antipsychotic response seems to be shaped by both stable and medication-induced methylation differences.

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Genome-wide association study of antipsychotic-induced sinus bradycardia in Chinese schizophrenia patients

Cited by 3 publications

References 41 publications

Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive–compulsive disorder by integrated bioinformatics analysis

Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive–compulsive disorder by integrated bioinformatics analysis

Use of potassium ion channel and spliceosome proteins as diagnostic biomarkers for sudden unexplained death in schizophrenia

Risperidone Response in Patients with Schizophrenia Drives DNA Methylation Changes in Immune and Neuronal Systems

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