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SHR Neuro Cancer Cardio Lipid Metab Microb

Birkl-Toeglhofer, AM; Birkl, C; Llenos, IC; Weis, S; Haybaeck, J.
Hepatic gene expression explains primary drug toxicity in bipolar disorder.
Transl Psychiatry. 2019; 9(1): 331-331. Doi: 10.1038/s41398-019-0666-4 [OPEN ACCESS]
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Leading authors Med Uni Graz
Birkl-Töglhofer Anna Maria
Haybäck Johannes
Co-authors Med Uni Graz
Birkl Christoph

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In bipolar disorder (BPD), long-term psychotropic drug treatment is often necessary to prevent relapse or recurrence. Nevertheless, adverse drug effects including disturbances in hepatic metabolism are observed and still poorly understood. Here, the association between hepatic gene expression and histopathological changes of the liver was investigated. By the use of microarrays (Affymetrix U133 plus2.0), a genome-wide expression study was performed on BPD patients with psychotropic drug treatment (n = 29) compared to unaffected controls (n = 20) and validated by quantitative real-time PCR. WebGestalt was used to identify over-represented functional pathways of the Reactome database. Association analyses between histopathological changes and differentially expressed genes comprised in the over-represented functional pathways were performed using regression analyses, from which feature-expression heatmaps were drawn. The majority of identified genes were underexpressed and involved in energy supply, metabolism of lipids and proteins, and the innate immune system. Positive associations were found for genes involved in all pathways and degenerative changes. The strongest negative association was observed between genes involved in energy supply and hepatic activity, as well as inflammation. In summary, we found a possible association between gene expression involved in various biological pathways and histopathological changes of the liver in BPD. Further, we found support for the probable primary toxic effect of psychotropic drugs on hepatic injury in BPD. Even if the safety of psychotropic drugs improves, adverse effects especially on hepatic function should not be underestimated.

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