人类阿片类药物使用者的眶额叶皮层转录组的机器学习分析确定了Shisa7是与雄性大鼠模型海洛因寻求相关的翻译目标。

IF 9.6 1区 医学 Q1 NEUROSCIENCES Biological Psychiatry Pub Date : 2024-12-24 DOI:10.1016/j.biopsych.2024.12.007
Randall J Ellis, Jacqueline-Marie N Ferland, Tanni Rahman, Joseph L Landry, James E Callens, Gaurav Pandey, TuKiet Lam, Jean Kanyo, Angus C Nairn, Stella Dracheva, Yasmin L Hurd
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引用次数: 0

摘要

背景:确定预测人类阿片类药物使用障碍(OUD)分子神经病理生理特征的神经生物学靶点可以加快新的治疗方法。OUD的特征是由眼窝前额皮质(OFC)介导的认知失调和目标导向行为,下一代测序可以为新的靶点提供见解。方法:在这里,我们使用机器学习来评估来自海洛因使用者和对照组的人类死后OFC rna测序数据集,以识别预测海洛因使用的转录本。为了确定与海洛因成瘾相关行为的因果关系,我们研究了在海洛因寻求和行为更新的翻译大鼠模型中过度表达顶端靶基因的影响。此外,我们确定了与人类海洛因使用者相比,过表达对大鼠OFC转录组的影响。大鼠OFC的免疫共沉淀/质谱分析证实了新靶点的蛋白复合物。结果:我们的机器学习方法确定了SHISA7可以预测人类海洛因使用者。Shisa7被认为是GABAA或AMPA受体的辅助蛋白。在大鼠中,Shisa7的表达与海洛因寻求行为呈正相关。在OFC中过表达Shisa7增强了海洛因寻求,并损害了基于蔗糖的操作性偶发的行为更新。大鼠OFC的rna测序显示,shisa7过表达调控的基因共表达网络与人类海洛因使用者相似。最后,免疫共沉淀/质谱分析显示,海洛因影响Shisa7与谷氨酸能和gaba能受体亚基的结合。基因表达特征和Shisa7蛋白复合物都强调神经退行性和神经免疫过程的扰动。结论:我们的研究结果表明,OFC Shisa7是与药物寻求行为和行为更新相关的神经行为病理的关键驱动因素,确定了OUD的潜在治疗靶点。
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Machine learning analysis of the orbitofrontal cortex transcriptome of human opioid users identifies Shisa7 as a translational target relevant for heroin-seeking leveraging a male rat model.

Background: Identifying neurobiological targets predictive of the molecular neuropathophysiological signature of human opioid use disorder (OUD) could expedite new treatments. OUD is characterized by dysregulated cognition and goal-directed behavior mediated by the orbitofrontal cortex (OFC), and next-generation sequencing could provide insights regarding novel targets.

Methods: Here, we used machine learning to evaluate human post-mortem OFC RNA-sequencing datasets from heroin-users and controls to identify transcripts predictive of heroin use. To determine a causal link to OUD-related behaviors, we examined the effects of overexpressing the top target gene in a translational rat model of heroin-seeking and behavioral updating. Additionally, we determined the effects of overexpression on the rat OFC transcriptome compared to that of human heroin users. Co-immunoprecipitation/mass-spectrometry from rat OFC elucidated the protein complex of the novel target.

Results: Our machine learning approach identified SHISA7 as predictive of human heroin users. Shisa7 is understudied but appears to be an auxiliary protein of GABAA or AMPA receptors. In rats, Shisa7 expression positively-correlated with heroin-seeking behavior. Overexpressing Shisa7 in the OFC augmented heroin-seeking and impaired behavioral updating for sucrose-based operant contingency. RNA-sequencing of rat OFC revealed gene co-expression networks regulated by Shisa7-overexpression similar to human heroin-users. Finally, co-immunoprecipitation/mass-spectrometry showed that heroin influences Shisa7 binding to glutamatergic and GABAergic receptor subunits. Both gene expression signatures and Shisa7 protein complex emphasized perturbations of neurodegenerative and neuroimmune processes.

Conclusions: Our findings suggest that OFC Shisa7 is a critical driver of neurobehavioral pathology related to drug-seeking behavior and behavioral updating, identifying a potential therapeutic target for OUD.

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来源期刊
Biological Psychiatry
Biological Psychiatry 医学-精神病学
CiteScore
18.80
自引率
2.80%
发文量
1398
审稿时长
33 days
期刊介绍: Biological Psychiatry is an official journal of the Society of Biological Psychiatry and was established in 1969. It is the first journal in the Biological Psychiatry family, which also includes Biological Psychiatry: Cognitive Neuroscience and Neuroimaging and Biological Psychiatry: Global Open Science. The Society's main goal is to promote excellence in scientific research and education in the fields related to the nature, causes, mechanisms, and treatments of disorders pertaining to thought, emotion, and behavior. To fulfill this mission, Biological Psychiatry publishes peer-reviewed, rapid-publication articles that present new findings from original basic, translational, and clinical mechanistic research, ultimately advancing our understanding of psychiatric disorders and their treatment. The journal also encourages the submission of reviews and commentaries on current research and topics of interest.
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