Gain of bipolar disorder-related lncRNA AP1AR-DT in mice induces depressive and anxiety-like behaviors by reducing Negr1-mediated excitatory synaptic transmission.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Shufen Li, Hongyu Ni, Yaping Wang, Xiaohui Wu, Jianqiang Bi, Haiyan Ou, Zhongwei Li, Junjiao Ping, Zhongju Wang, Renhao Chen, Qiong Yang, Meijun Jiang, Liping Cao, Tingyun Jiang, Siqiang Ren, Cunyou Zhao
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引用次数: 0

Abstract

Background: Bipolar disorder is a complex polygenic disorder that is characterized by recurrent episodes of depression and mania, the heterogeneity of which is likely complicated by epigenetic modifications that remain to be elucidated.

Methods: We performed transcriptomic analysis of peripheral blood RNA from monozygotic (MZ) twins discordant for bipolar disorder to identify disease-associated differentially expressed long noncoding RNAs (DE-lncRNAs), which were further validated in the PsychENCODE brain RNA-seq dataset. We then performed behavioral tests, electrophysiological assays, chromatin immunoprecipitation, and PCR to investigate the function of DE-lncRNAs in the mouse and cell models. Statistical analyses were performed using GraphPad Prism 9.0 or SPSS.

Results: We identified a bipolar disorder-associated upregulated long non-coding RNA (lncRNA), AP1AR-DT. We observed that overexpression of AP1AR-DT in the mouse medial prefrontal cortex (mPFC) resulted in a reduction of both the total spine density and the spontaneous excitatory postsynaptic current (sEPSC) frequency of mPFC neurons as well as depressive and anxiety-like behaviors. A combination of the results of brain transcriptome analysis of AP1AR-DT overexpressing mice brains with the known genes associated with bipolar disorder revealed that NEGR1, which encodes neuronal growth regulator 1, is one of the AP1AR-DT targets and is reduced in vivo upon gain of AP1AR-DT in mice. We further demonstrated that overexpression of recombinant Negr1 in the mPFC neurons of AP1AR-DTOE mice ameliorates depressive and anxiety-like behaviors and normalizes the reduced excitatory synaptic transmission induced by the gain of AP1AR-DT. We finally identified that AP1AR-DT reduces NEGR1 expression by competing for the transcriptional activator NRF1 in the overlapping binding site of the NEGR1 promoter region.

Conclusions: The epigenetic and pathophysiological mechanism linking AP1AR-DT to the modulation of depressive and anxiety-like behaviors and excitatory synaptic function provides etiological implications for bipolar disorder.

小鼠双相情感障碍相关lncRNA AP1AR-DT的增益通过减少Negr1介导的兴奋性突触传递诱发抑郁和焦虑样行为。
背景:双相情感障碍是一种复杂的多基因疾病,以反复发作的抑郁和躁狂为特征,其异质性可能因尚待阐明的表观遗传修饰而变得复杂:我们对双相情感障碍不一致的单卵双生子(MZ)的外周血RNA进行了转录组分析,以确定与疾病相关的差异表达长非编码RNA(DE-lncRNAs),并在PsychENCODE大脑RNA-seq数据集中进一步验证了这些差异表达长非编码RNAs。然后,我们进行了行为测试、电生理实验、染色质免疫沉淀和 PCR,以研究 DE-lncRNAs 在小鼠和细胞模型中的功能。统计分析采用 GraphPad Prism 9.0 或 SPSS:结果:我们发现了一种与躁狂症相关的上调长非编码 RNA(lncRNA)--AP1AR-DT。我们观察到,在小鼠内侧前额叶皮层(mPFC)中过表达 AP1AR-DT 会降低 mPFC 神经元的总棘突密度和自发兴奋突触后电流(sEPSC)频率,并导致抑郁和焦虑样行为。将过表达 AP1AR-DT 的小鼠大脑转录组分析结果与已知的躁狂症相关基因相结合,发现编码神经元生长调节因子 1 的 NEGR1 是 AP1AR-DT 的靶标之一,并且在小鼠体内获得 AP1AR-DT 后会减少 NEGR1 的表达。我们进一步证实,在 AP1AR-DTOE 小鼠的 mPFC 神经元中过表达重组 Negr1 可改善抑郁和焦虑样行为,并使 AP1AR-DT 增益引起的兴奋性突触传递减少正常化。我们最终发现,AP1AR-DT通过在NEGR1启动子区域的重叠结合位点竞争转录激活剂NRF1,从而降低了NEGR1的表达:结论:AP1AR-DT与抑郁和焦虑样行为以及兴奋性突触功能调节之间的表观遗传学和病理生理学机制为双相情感障碍提供了病因学意义。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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