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利用雄性大鼠模型,对人类阿片类药物使用者眶额皮质转录组进行机器学习分析,确定Shisa7为与海洛因觅药相关的转化靶点。

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.

作者信息

Ellis Randall J, Ferland Jacqueline-Marie N, Rahman Tanni, Landry Joseph L, Callens James E, Pandey Gaurav, Lam TuKiet, Kanyo Jean, Nairn Angus C, Dracheva Stella, Hurd Yasmin L

机构信息

Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Addiction Institute of Mount Sinai, New York, New York.

Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York.

出版信息

Biol Psychiatry. 2025 Jul 1;98(1):23-33. doi: 10.1016/j.biopsych.2024.12.007. Epub 2024 Dec 25.

Abstract

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 postmortem OFC RNA sequencing datasets from heroin users and control participants to identify transcripts that were 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 with that of human heroin users. Co-immunoprecipitation/mass spectrometry (co-IP/MS) from the 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 GABA (gamma-aminobutyric acid A) 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 coexpression networks regulated by Shisa7 overexpression similar to human heroin users. Finally, co-IP/MS showed that heroin influenced 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, thus identifying a potential therapeutic target for OUD.

摘要

背景

确定可预测人类阿片类物质使用障碍(OUD)分子神经病理生理学特征的神经生物学靶点,有助于加快新治疗方法的研发。OUD的特征是眶额皮质(OFC)介导的认知和目标导向行为失调,而新一代测序技术可能为新靶点的研究提供线索。

方法

在此,我们运用机器学习评估海洛因使用者和对照参与者的人类死后OFC RNA测序数据集,以识别可预测海洛因使用情况的转录本。为确定与OUD相关行为的因果关系,我们在海洛因寻求和行为更新的转化大鼠模型中,研究了过表达顶级目标基因的影响。此外,我们还确定了过表达对大鼠OFC转录组的影响,并与人类海洛因使用者进行比较。通过大鼠OFC的免疫共沉淀/质谱分析(co-IP/MS)阐明了新靶点的蛋白质复合物。

结果

我们的机器学习方法确定SHISA7可预测人类海洛因使用者。Shisa7的研究较少,但似乎是γ-氨基丁酸A(GABA)或α-氨基-3-羟基-5-甲基-4-异恶唑丙酸(AMPA)受体的辅助蛋白。在大鼠中,Shisa7表达与海洛因寻求行为呈正相关。在OFC中过表达Shisa7会增加海洛因寻求行为,并损害基于蔗糖的操作性条件反射的行为更新。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,co-IP/MS表明海洛因会影响Shisa7与谷氨酸能和GABA能受体亚基的结合。基因表达特征和Shisa7蛋白复合物均强调了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中的Shisa7是与药物寻求行为和行为更新相关的神经行为病理学的关键驱动因素,从而确定了一个潜在的OUD治疗靶点。

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