Sex Differences in Stress-Induced Genome-Wide Transcriptional Profiles

描述（由申请人提供）：抑郁症和焦虑症是我们社会的巨大健康负担，据报道，一般人群的年患病率为9-18%。尽管女性患抑郁症或焦虑症的可能性是男性的两倍，并且表现出更严重的症状，但绝大多数基础科学水平的研究都只使用雄性啮齿动物来确定潜在的生物机制。因此，对女性抑郁症的机制知之甚少。在这里，我们使用慢性可变压力（CVS）范式，一个模型，诱导强大的抑郁症和焦虑样行为的小鼠。我们的研究结果表明，女性比男性更敏感的CVS在5个既定的抑郁和焦虑行为和神经化学领域。例如，女性表现出更大的不动性的强迫游泳测试（FST），对蔗糖偏好测试（SPT），减少时间梳理飞溅测试，增加潜伏期喂养新奇抑制喂养（NSF），增加血清皮质酮水平。虽然驱动这些性别差异的直接机制尚不清楚，但我们使用RNA测序发现，男性和女性中约有800个基因受CVS调控，其中不到3%重叠。有趣的是，CVS在男性中调节的基因比女性多，这表明男性缺乏行为反应可能不是被动的。相反，男性可能从事替代转录途径提供了一种机制，为代理应对。在本申请中，我们将使用高分辨率配对末端RNA测序和先进的生物信息学分析来测量转录组中应激诱导变化的详细性别差异，以确定剪接事件，替代启动子使用和microRNA加工。所有数据集将进一步分析成功能生物集群，以确定性别差异 压力调节的主要途径。我们相信，这项工作将为未来的压力研究提供非常重要的信息资源，并启动一个程序来测试这些转录组差异的功能相关性。后者将有助于开发新的个性化抗焦虑和抗抑郁治疗策略。

DESCRIPTION (provided by applicant): Depression and anxiety disorders are large health burdens to our society with reported yearly prevalence rates of 9-18% in the general population. Although women are twice as likely to suffer from depression or anxiety, and exhibit more severe symptoms, the great majority of studies at the basic science level have used only male rodents to determine the underlying biological mechanisms. As a consequence, there is far less known about the mechanisms of depression in females. Here we use the chronic variable stress (CVS) paradigm, a model that induces robust depression- and anxiety-like behavior in mice. Our findings show that females are more sensitive to CVS than males on 5 established depression and anxiety behavioral and neurochemical domains. For example, females exhibit greater immobility on the forced swim test (FST), anhedonic responses on sucrose preference tests (SPT), decreased time grooming on the splash test, increased latency to feed on novelty suppressed feeding (NSF), and increased serum corticosterone levels. Although the direct mechanisms driving these sex differences are unclear, we used RNA sequencing and found that there are approximately 800 genes regulated by CVS in males and females and less than 3% of them overlap. Interestingly, CVS regulates more genes in males than females, suggesting that the lack of behavioral response in males may not be a passive one. Rather, males may engage alternate transcriptional pathways providing a mechanism for acting coping. In this application, we will measure the detailed sex differences in stress-induced changes across the transcriptome using high resolution paired end RNA sequencing and advanced bioinformatics analysis to identify splicing events, alternative promoter usage and microRNA processing. All data sets will be further analyzed into functional biological clusters to determine sex differences in the major pathways regulated by stress. We believe that this work will provide an enormously important resource of information for future stress studies and initiate a program to test the functional relevance of these transcriptome differences. The latter will aide in the development of new personalized anti- anxiety and anti-depression therapeutic strategies.