Methylome-wide and meQTL analysis helps to distinguish treatment response from non-response and pathogenesis markers in schizophrenia.

Journal: Frontiers in psychiatry

Volume: 15

Issue: 

Year of Publication: 

Affiliated Institutions:  Human Molecular Genetics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India. Mental Health Centre, Thiruvananthapuram, Kerala, India. Nair's Hospital, Maradu, Kerala, India.

Abstract summary 

Schizophrenia is a complex condition with entwined genetic and epigenetic risk factors, posing a challenge to disentangle the intermixed pathological and therapeutic epigenetic signatures. To resolve this, we performed 850K methylome-wide and 700K genome-wide studies on the same set of schizophrenia patients by stratifying them into responders, non-responders, and drug-naïve patients. The key genes that signified the response were followed up using real-time gene expression studies to understand the effect of antipsychotics at the gene transcription level. The study primarily implicates hypermethylation in therapeutic response and hypomethylation in the drug-non-responsive state. Several differentially methylated sites and regions colocalized with the schizophrenia genome-wide association study (GWAS) risk genes and variants, supporting the convoluted gene-environment association. Gene ontology and protein-protein interaction (PPI) network analyses revealed distinct patterns that differentiated the treatment response from drug resistance. The study highlights the strong involvement of several processes related to nervous system development, cell adhesion, and signaling in the antipsychotic response. The ability of antipsychotic medications to alter the pathology by modulating gene expression or methylation patterns is evident from the general increase in the gene expression of response markers and histone modifiers and the decrease in class II human leukocyte antigen (HLA) genes following treatment with varying concentrations of medications like clozapine, olanzapine, risperidone, and haloperidol. The study indicates a directional overlap of methylation markers between pathogenesis and therapeutic response, thereby suggesting a careful distinction of methylation markers of pathogenesis from treatment response. In addition, there is a need to understand the trade-off between genetic and epigenetic observations. It is suggested that methylomic changes brought about by drugs need careful evaluation for their positive effects on pathogenesis, course of disease progression, symptom severity, side effects, and refractoriness.

Authors & Co-authors:  Polakkattil Vellichirammal Nair Nair Banerjee

Study Outcome 

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Statistics
Citations :  Shibukumar T, Thavody J. National mental health survey of India 2015–’16: Kerala state report. IMHANS Kozhikode Kerala. (2017).
Authors :  5
Identifiers
Doi : 1297760
SSN : 1664-0640
Study Population
Male,Female
Mesh Terms
Other Terms
SNP genotyping;antipsychotics;epigenetics;gene expression;methylation;schizophrenia;treatment response
Study Design
Study Approach
Country of Study
Publication Country
Switzerland