Panizzutti Bruna, Bortolasci Chiara C, Spolding Briana, Kidnapillai Srisaiyini, Connor Timothy, Richardson Mark F, Truong Trang T T, Liu Zoe S J, Gray Laura, Kim Jee Hyun, Dean Olivia M, Berk Michael, Walder Ken
Institute for Innovation in Physical and Mental Health and Clinical Translation, IMPACT, School of Medicine, Deakin University, Geelong 3220, Australia.
Genomics Centre, School of Life and Environmental Sciences, Deakin University, Geelong 3220, Australia.
J Clin Med. 2021 Sep 10;10(18):4095. doi: 10.3390/jcm10184095.
Weight gain and consequent metabolic alterations are common side-effects of many antipsychotic drugs. Interestingly, several studies have suggested that improvement in symptoms and adverse metabolic effects are correlated. We used next generation sequencing data from NT-2 (human neuronal) cells treated with aripiprazole, amisulpride, risperidone, quetiapine, clozapine, or vehicle control, and compared with the Pillinger P-score (ranked from 0 to 1, indicating greater increase in weight gain and related metabolic parameters) to identify the genes most associated with the drugs' propensity to cause weight gain. The top 500 genes ranked for their correlation with the drugs' propensity to cause weight gain were subjected to pathway analysis using DAVID (NIH). We further investigated transcription factors (TFs) that are more likely to regulate the genes involved in these processes using the prediction tool of key TFs from TRRUST. The results suggest an enrichment for genes involved in lipid biosynthesis and metabolism, which are of interest for mechanisms underpinning weight-gain. The list of genes involved in the lipid pathways that correlated with weight gain was enriched for genes transcriptionally regulated by and . Furthermore, quetiapine significantly increased the expression of and in NT-2 cells. Our results suggest that the effects of these antipsychotic drugs on lipid metabolism may be mediated, at least in part, via regulation of expression, with evidence of a direct effect of quetiapine on the expression of . The effects of antipsychotic drugs on lipid metabolism may influence white matter structure (therapeutic effect) and the risk of weight gain, lipid disturbances, and, consequently, metabolic syndrome (adverse effects). Understanding the different molecular effects of these drugs could inform a personalized medicine approach in treating patients with schizophrenia.
体重增加及随之而来的代谢改变是许多抗精神病药物常见的副作用。有趣的是,多项研究表明症状改善与不良代谢效应之间存在关联。我们使用了经阿立哌唑、氨磺必利、利培酮、喹硫平、氯氮平处理或作为载体对照的NT - 2(人神经元)细胞的下一代测序数据,并与Pillinger P评分(范围从0到1,表明体重增加及相关代谢参数的增加幅度更大)进行比较,以确定与药物导致体重增加倾向最相关的基因。对与药物导致体重增加倾向相关性排名前500的基因使用DAVID(美国国立卫生研究院)进行通路分析。我们进一步使用来自TRRUST的关键转录因子预测工具,研究更有可能调控参与这些过程的基因的转录因子(TFs)。结果表明参与脂质生物合成和代谢的基因富集,这对于体重增加的潜在机制具有重要意义。与体重增加相关的脂质通路中的基因列表富集了受 和 转录调控的基因。此外,喹硫平显著增加了NT - 2细胞中 和 的表达。我们的结果表明,这些抗精神病药物对脂质代谢的影响可能至少部分是通过调控 的表达介导的,有证据表明喹硫平对 的表达有直接影响。抗精神病药物对脂质代谢的影响可能会影响白质结构(治疗效果)以及体重增加、脂质紊乱进而代谢综合征(不良影响)的风险。了解这些药物的不同分子效应可为治疗精神分裂症患者的个性化医疗方法提供依据。