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Omics Approaches to Investigate the Pathogenesis of Suicide 用 Omics 方法研究自杀的发病机制。
IF 9.6 1区 医学 Q1 NEUROSCIENCES Pub Date : 2024-05-29 DOI: 10.1016/j.biopsych.2024.05.017
Maura Boldrini , Yang Xiao , Tarjinder Singh , Chenxu Zhu , Mbemba Jabbi , Harry Pantazopoulos , Gamze Gürsoy , Keri Martinowich , Giovanna Punzi , Eric J. Vallender , Michael Zody , Sabina Berretta , Thomas M. Hyde , Joel E. Kleinman , Stefano Marenco , Panagiotis Roussos , David A. Lewis , Gustavo Turecki , Thomas Lehner , J. John Mann
Suicide is the second leading cause of death in U.S. adolescents and young adults and is generally associated with a psychiatric disorder. Suicidal behavior has a complex etiology and pathogenesis. Moderate heritability suggests genetic causes. Associations between childhood and recent life adversity indicate contributions from epigenetic factors. Genomic contributions to suicide pathogenesis remain largely unknown. This article is based on a workshop held to design strategies to identify molecular drivers of suicide neurobiology that would be putative new treatment targets. The panel determined that while bulk tissue studies provide comprehensive information, single-nucleus approaches that identify cell type–specific changes are needed. While single-nuclei techniques lack information on cytoplasm, processes, spines, and synapses, spatial multiomic technologies on intact tissue detect cell alterations specific to brain tissue layers and subregions. Because suicide has genetic and environmental drivers, multiomic approaches that combine cell type–specific epigenome, transcriptome, and proteome provide a more complete picture of pathogenesis. To determine the direction of effect of suicide risk gene variants on RNA and protein expression and how these interact with epigenetic marks, single-nuclei and spatial multiomics quantitative trait loci maps should be integrated with whole-genome sequencing and genome-wide association databases. The workshop concluded with a recommendation for the formation of an international suicide biology consortium that will bring together brain banks and investigators with expertise in cutting-edge omics technologies to delineate the biology of suicide and identify novel potential treatment targets to be tested in cellular and animal models for drug and biomarker discovery to guide suicide prevention.
自杀是美国青少年和年轻成年人的第二大死因,通常与精神障碍有关。自杀行为的病因和发病机制十分复杂。适度的遗传性表明是由遗传因素引起的。童年和近期生活逆境之间的关联表明表观遗传因素对自杀有影响。基因组对自杀发病机制的影响在很大程度上仍然未知。本文基于一个研讨会,该研讨会旨在制定策略,以确定自杀神经生物学的分子驱动因素,并将其作为新的治疗目标。小组认为,虽然大块组织研究能提供全面的信息,但还需要单个细胞核方法来确定细胞类型的特定变化。单核技术缺乏细胞质、过程、脊柱和突触方面的信息,而完整组织的空间多组学技术则能检测到脑组织层和亚区域的特定细胞变化。由于自杀有遗传和环境驱动因素,多组学方法结合了细胞类型特定的表观基因组、转录组和蛋白质组,可提供更完整的发病机制图谱。为了确定自杀风险基因变异对 RNA 和蛋白质表达的影响方向,以及这些变异如何与表观遗传标记相互作用,应将单核和空间多组学定量性状位点图与全基因组测序和全基因组关联数据库结合起来。研讨会最后建议成立一个国际自杀生物学联合会,汇集脑库和在前沿物联网技术方面具有专长的研究人员,以阐明自杀生物学,确定新的潜在治疗目标,并在细胞和动物模型中进行测试,以发现药物和生物标志物,指导自杀预防工作。
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引用次数: 0
Molecular Rhythmicity in Glia: Importance for Brain Health and Relevance to Psychiatric Disease 胶质细胞的分子节律:对大脑健康的重要性以及与精神疾病的相关性
IF 9.6 1区 医学 Q1 NEUROSCIENCES Pub Date : 2024-05-10 DOI: 10.1016/j.biopsych.2024.05.007
Aaron K. Jenkins, Kyle D. Ketchesin, Darius D. Becker-Krail, Colleen A. McClung
Circadian rhythms are approximate 24-hour rhythms present in nearly all aspects of human physiology, including proper brain function. These rhythms are produced at the cellular level through a transcriptional-translational feedback loop known as the molecular clock. Diurnal variation in gene expression has been demonstrated in brain tissue from multiple species, including humans, in both cortical and subcortical regions. Interestingly, these rhythms in gene expression have been shown to be disrupted across psychiatric disorders and may be implicated in their underlying pathophysiology. However, little is known regarding molecular rhythms in specific cell types in the brain and how they might be involved in psychiatric disease. Although glial cells (e.g., astrocytes, microglia, and oligodendrocytes) have been historically understudied compared to neurons, evidence of the molecular clock is found within each of these cell subtypes. Here, we review the current literature, which suggests that molecular rhythmicity is essential to functional physiologic outputs from each glial subtype. Furthermore, disrupted molecular rhythms within these cells and the resultant functional deficits may be relevant to specific phenotypes across psychiatric illnesses. Given that circadian rhythm disruptions have been so integrally tied to psychiatric disease, the molecular mechanisms governing these associations could represent exciting new avenues for future research and potential novel pharmacologic targets for treatment.
昼夜节律是一种近似 24 小时的节律,存在于人类生理的几乎所有方面,包括大脑的正常功能。这些节律是在细胞水平上通过称为分子钟的转录-翻译反馈回路产生的。基因表达的昼夜变化已在包括人类在内的多个物种的大脑皮层和皮层下区域的脑组织中得到证实。有趣的是,这些基因表达的节律已被证明在精神疾病中被破坏,并可能与这些疾病的潜在病理生理学有关。然而,人们对大脑中特定细胞类型的分子节律以及它们如何可能与精神疾病有关却知之甚少。虽然与神经元相比,神经胶质细胞(如星形胶质细胞、小胶质细胞和少突胶质细胞)历来研究不足,但在这些细胞亚型中都发现了分子时钟的证据。在此,我们回顾了目前的文献,这些文献表明,分子节律性对每种神经胶质亚型的功能性生理输出至关重要。此外,这些细胞内的分子节律紊乱及其导致的功能缺陷可能与精神疾病的特定表型有关。鉴于昼夜节律紊乱与精神疾病如此紧密地联系在一起,这些关联的分子机制可能是未来研究的令人兴奋的新途径和潜在的新型药物治疗靶点。
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引用次数: 0
Early-Life Adversities Are Associated With Lower Expected Value Signaling in the Adult Brain 早年的生活逆境与成年大脑中较低的预期值信号有关。
IF 9.6 1区 医学 Q1 NEUROSCIENCES Pub Date : 2024-04-16 DOI: 10.1016/j.biopsych.2024.04.005
Seda Sacu , Magda Dubois , Frank H. Hezemans , Pascal-M. Aggensteiner , Maximilian Monninger , Daniel Brandeis , Tobias Banaschewski , Tobias U. Hauser , Nathalie E. Holz

Background

Early adverse experiences are assumed to affect fundamental processes of reward learning and decision making. However, computational neuroimaging studies investigating these circuits in the context of adversity are sparse and limited to studies conducted in adolescent samples, leaving the long-term effects unexplored.

Methods

Using data from a longitudinal birth cohort study (n = 156; 87 female), we investigated associations between adversities and computational markers of reward learning (i.e., expected value, prediction errors). At age 33 years, all participants completed a functional magnetic resonance imaging–based passive avoidance task. Psychopathology measures were collected at the time of functional magnetic resonance imaging investigation and during the COVID-19 pandemic. We applied a principal component analysis to capture common variations across 7 adversity measures. The resulting adversity factors (factor 1: postnatal psychosocial adversities and prenatal maternal smoking; factor 2: prenatal maternal stress and obstetric adversity; factor 3: lower maternal stimulation) were linked with psychopathology and neural responses in the core reward network using multiple regression analysis.

Results

We found that the adversity dimension primarily informed by lower maternal stimulation was linked to lower expected value representation in the right putamen, right nucleus accumbens, and anterior cingulate cortex. Expected value encoding in the right nucleus accumbens further mediated the relationship between this adversity dimension and psychopathology and predicted higher withdrawn symptoms during the COVID-19 pandemic.

Conclusions

Our results suggested that early adverse experiences in caregiver context might have a long-term disruptive effect on reward learning in reward-related brain regions, which can be associated with suboptimal decision making and thereby may increase the vulnerability of developing psychopathology.
背景:早期的不良经历被认为会影响奖赏学习和决策的基本过程。然而,在逆境背景下调查这些回路的计算神经影像学研究并不多,而且仅限于在青少年样本中进行的研究,因此长期影响尚未得到探讨:利用一项纵向出生队列研究的数据(n=156,87 名女性),我们调查了逆境与奖赏学习计算标记(即预期值 (EV)、预测错误)之间的关联。所有参与者在33岁时都完成了一项基于fMRI的被动回避任务。我们在进行 fMRI 研究时和 COVID-19 大流行期间收集了心理病理学测量数据。我们采用主成分分析来捕捉七种逆境测量的共同变异。通过多元回归分析,我们将得出的逆境因子(因子-1:产后社会心理逆境和产前母亲吸烟;因子-2:产前母亲压力和产科逆境;因子-3:较低的母亲刺激)与精神病理学和核心奖赏网络的神经反应联系起来:结果:我们发现,主要由较低的母体刺激引起的逆境维度与右侧丘脑、右侧伏隔核(NAcc)和前扣带回皮层中较低的 EV 表征有关。在COVID-19大流行期间,右侧NAcc中的EV编码进一步介导了这一逆境维度与精神病理学之间的关系,并预测了较高的孤僻症状:我们的研究结果表明,在照顾者环境中的早期逆境经历可能会对奖赏相关脑区的奖赏学习产生长期的破坏性影响,而奖赏学习可能与次优决策相关,从而可能增加发展为精神病理学的脆弱性。
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引用次数: 0
Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality 婴儿早期前额叶皮质微结构可预测现在和未来的情绪性
IF 9.6 1区 医学 Q1 NEUROSCIENCES Pub Date : 2024-04-09 DOI: 10.1016/j.biopsych.2024.04.001
Yicheng Zhang , Layla Banihashemi , Amelia Versace , Alyssa Samolyk , Megan Taylor , Gabrielle English , Vanessa J. Schmithorst , Vincent K. Lee , Richelle Stiffler , Haris Aslam , Ashok Panigrahy , Alison E. Hipwell , Mary L. Phillips

Background

High levels of infant negative emotionality (NE) and low positive emotionality (PE) predict future emotional and behavioral problems. The prefrontal cortex (PFC) supports emotional regulation, with each PFC subregion specializing in specific emotional processes. Neurite orientation dispersion and density imaging estimates microstructural integrity and myelination via the neurite density index (NDI) and dispersion via the orientation dispersion index (ODI), with potential to more accurately evaluate microstructural alterations in the developing brain. Yet, no study has used these indices to examine associations between PFC microstructure and concurrent or developing infant emotionality.

Methods

We modeled PFC subregional NDI and ODI at 3 months with caregiver-reported infant NE and PE at 3 months (n = 61) and at 9 months (n = 50), using multivariable and subsequent bivariate regression models.

Results

The most robust statistically significant findings were positive associations among 3-month rostral anterior cingulate cortex (ACC) ODI and caudal ACC NDI and concurrent NE, a positive association between 3-month lateral orbitofrontal cortex ODI and prospective NE, and a negative association between 3-month dorsolateral PFC ODI and concurrent PE. Multivariate models also revealed that other PFC subregional microstructure measures, as well as infant and caregiver sociodemographic and clinical factors, predicted infant 3- and 9-month NE and PE.

Conclusions

Greater NDI and ODI, reflecting greater microstructural complexity, in PFC regions supporting salience perception (rostral ACC), decision making (lateral orbitofrontal cortex), action selection (caudal ACC), and attentional processes (dorsolateral PFC) might result in greater integration of these subregions with other neural networks and greater attention to salient negative external cues, thus higher NE and/or lower PE. These findings provide potential infant cortical markers of future psychopathology risk.
背景高水平的婴儿负面情绪性(NE)和低水平的正面情绪性(PE)可预测未来的情绪和行为问题。前额叶皮层(PFC)支持情绪调节,每个前额叶皮层亚区都专门负责特定的情绪过程。神经元取向弥散和密度成像通过神经元密度指数(NDI)和取向弥散指数(ODI)估算微结构完整性和髓鞘化,有望更准确地评估发育中大脑的微结构改变。方法我们使用多变量和随后的双变量回归模型,将3个月时的PFC亚区域NDI和ODI与护理人员报告的3个月时婴儿NE和PE(n = 61)和9个月时婴儿NE和PE(n = 50)进行建模。结果 最有统计学意义的发现是,3 个月的喙前扣带回皮层(ACC)ODI 和尾部 ACC NDI 与同时的 NE 呈正相关,3 个月的外侧眶额皮层 ODI 与前瞻性 NE 呈正相关,3 个月的背外侧 PFC ODI 与同时的 PE 呈负相关。多变量模型还显示,其他前额叶皮质亚区微结构测量以及婴儿和照护者的社会人口学和临床因素可预测婴儿 3 个月和 9 个月的 NE 和 PE。结论在支持显著性感知(喙侧 ACC)、决策制定(外侧眶额叶皮层)、行动选择(尾侧 ACC)和注意过程(背外侧 PFC)的 PFC 区域中,NDI 和 ODI 越高,反映出微观结构越复杂,可能会导致这些亚区域与其他神经网络的整合程度越高,对显著的负面外部线索的注意程度越高,因此 NE 和 PE 越高和/或越低。这些发现为未来的精神病理学风险提供了潜在的婴儿皮质标记。
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引用次数: 0
Electroconvulsive Therapy Regulates Brain Connectome Dynamics in Patients With Major Depressive Disorder 电休克疗法可调节重度抑郁症患者大脑连接组的动态变化。
IF 9.6 1区 医学 Q1 NEUROSCIENCES Pub Date : 2024-03-21 DOI: 10.1016/j.biopsych.2024.03.012
Yuanyuan Guo , Mingrui Xia , Rong Ye , Tongjian Bai , Yue Wu , Yang Ji , Yue Yu , Gong-Jun Ji , Kai Wang , Yong He , Yanghua Tian

Background

Electroconvulsive therapy (ECT) is an effective treatment for patients with major depressive disorder (MDD), but its underlying neural mechanisms remain largely unknown. The aim of this study was to identify changes in brain connectome dynamics after ECT in MDD and to explore their associations with treatment outcome.

Methods

We collected longitudinal resting-state functional magnetic resonance imaging data from 80 patients with MDD (50 with suicidal ideation [MDD-SI] and 30 without [MDD-NSI]) before and after ECT and 37 age- and sex-matched healthy control participants. A multilayer network model was used to assess modular switching over time in functional connectomes. Support vector regression was used to assess whether pre-ECT network dynamics could predict treatment response in terms of symptom severity.

Results

At baseline, patients with MDD had lower global modularity and higher modular variability in functional connectomes than control participants. Network modularity increased and network variability decreased after ECT in patients with MDD, predominantly in the default mode and somatomotor networks. Moreover, ECT was associated with decreased modular variability in the left dorsal anterior cingulate cortex of MDD-SI but not MDD-NSI patients, and pre-ECT modular variability significantly predicted symptom improvement in the MDD-SI group but not in the MDD-NSI group.

Conclusions

We highlight ECT-induced changes in MDD brain network dynamics and their predictive value for treatment outcome, particularly in patients with SI. This study advances our understanding of the neural mechanisms of ECT from a dynamic brain network perspective and suggests potential prognostic biomarkers for predicting ECT efficacy in patients with MDD.
背景:电休克疗法(ECT)是治疗重度抑郁症(MDD)患者的一种有效方法,但其潜在的神经机制在很大程度上仍不为人所知。本研究旨在确定重度抑郁症患者接受电休克治疗后大脑连接组动态的变化,并探讨其与治疗结果的关联:我们收集了ECT前后80名MDD患者(50名有自杀意念,30名无自杀意念;分别为SI和NSI)和37名年龄和性别匹配的健康对照者的纵向静息态fMRI数据。研究人员使用多层网络模型来评估功能连接组随时间变化的模块切换。支持向量回归用于评估ECT前的网络动态是否能预测症状严重程度的治疗反应:基线时,与对照组相比,MDD 患者的功能连接组的全局模块化程度较低,模块变异性较高。ECT治疗后,MDD患者的网络模块化程度增加,网络变异性降低,主要集中在默认模式和躯体运动网络。此外,ECT与MDD-SI患者左侧背侧前扣带回皮层模块变异性的降低有关,但与MDD-NSI患者无关,ECT前模块变异性可显著预测MDD-SI组症状的改善,但不能预测MDD-NSI组症状的改善:我们强调了ECT诱导的MDD大脑网络动态变化及其对治疗结果的预测价值,尤其是在有自杀意念的患者中。这项研究从动态脑网络的角度推进了我们对ECT神经机制的理解,并提出了预测ECT对MDD患者疗效的潜在预后生物标志物。
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Biological Psychiatry
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