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Front & Back Matter 正面和背面
Pub Date : 2021-08-01 DOI: 10.1159/000518991
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引用次数: 0
The Validity of Brief Phenotyping in Population Biobanks for Psychiatric Genome-Wide Association Studies on the Biobank Scale. 在人口生物库中进行精神病全基因组关联研究的生物库量表简短表型的有效性》(The Validity of Brief Phenotyping in Population Biobanks for Psychiatric Genome-Wide Association Studies on the Biobank Scale)。
Pub Date : 2021-08-01 Epub Date: 2021-04-27 DOI: 10.1159/000516837
Jonathan R I Coleman
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引用次数: 0
Perspective on Beyond Statistical Significance: Finding Meaningful Effects 超越统计显著性的视角:发现有意义的效应
Pub Date : 2021-05-20 DOI: 10.1159/000517237
H. Edenberg
Genome-wide association studies (GWASs) in psychiatry have recently identified many loci that affect a wide variety of disorders and related traits, although the number of associated loci varies widely among psychiatric and substance-use traits. The successes of GWAS have triggered thoughts about how to move beyond identification of loci (which contain a very large number of variants), to identification of the functional variants within them that actually contribute to the risk for the traits, and from there to identifying the genes, pathways, and mechanisms involved. The hope is that knowledge of the key genes and pathways will lead to better diagnosis, treatment, and prevention of these complex disorders. On September 2, 2020, three institutes within the US National Institutes of Health (NIH) sponsored a virtual meeting entitled “Beyond Statistical Significance: Finding Meaningful Effects” devoted to exploring these issues. The structure of the meeting – initial presentations followed by discussion sections on 3 sets of topics through which all willing participants cycled and a general discussion as a wrap-up – allowed for lively interaction and the presentation of many ideas. Dr. Elizabeth Hoffman opened the meeting by stating its objective was “To develop best practice recommendations for identifying, analyzing, and interpreting meaningful effects by engaging researchers from a range of disciplines in discussions of meaningful science that go beyond statistical significance.” It should not surprise anyone that one conclusion was that these questions are difficult and there are no one-size-fits-all answers. A good summary of the meeting has been posted at https://apps1.seiservices.com/meaningfuleffects/, with details of the presentations and the discussions. Some of these issues have been discussed in relation to the NIH Adolescent Brain Cognitive Development study [1] in a preprint recently posted to bioRxiv [2]. I will not recapitulate the meeting summary here, but rather provide a perspective on the key questions discussed, and potential future directions.
精神病学的全基因组关联研究(GWASs)最近发现了许多影响多种疾病和相关特征的基因座,尽管相关基因座的数量在精神病学和药物使用特征之间差异很大。GWAS的成功引发了人们的思考,即如何超越对基因座(包含大量变异)的识别,识别它们内部实际上导致性状风险的功能变异,并从那里识别相关的基因、途径和机制。希望对关键基因和途径的了解将有助于更好地诊断、治疗和预防这些复杂的疾病。2020年9月2日,美国国立卫生研究院(NIH)的三个研究所主办了一场名为“超越统计显著性:寻找有意义的影响”的虚拟会议,致力于探讨这些问题。会议的结构——首先是演讲,然后是三组主题的讨论部分,所有愿意参加的人都通过讨论,最后是一般性讨论作为总结——允许活跃的互动和许多想法的展示。伊丽莎白·霍夫曼博士在会议开幕式上说,会议的目标是“通过让来自不同学科的研究人员参与讨论超越统计意义的有意义的科学,为识别、分析和解释有意义的影响制定最佳实践建议。”有一个结论是,这些问题很难,没有放之四海而皆准的答案,这应该不会让任何人感到惊讶。本次会议的总结已在https://apps1.seiservices.com/meaningfuleffects/上发布,其中包括演讲和讨论的细节。其中一些问题已经在最近发布到bioRxiv[2]的预印本中与NIH青少年大脑认知发展研究[1]有关。我不想在此重述会议摘要,只想对讨论的关键问题和未来可能的方向提出一个看法。
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引用次数: 4
Publicly Available hiPSC Lines with Extreme Polygenic Risk Scores for Modeling Schizophrenia. 用于精神分裂症建模的具有极端多基因风险评分的公开可用 hiPSC 株系
Pub Date : 2021-02-01 Epub Date: 2020-11-02 DOI: 10.1159/000512716
Kristina Dobrindt, Hanwen Zhang, Debamitra Das, Sara Abdollahi, Tim Prorok, Sulagna Ghosh, Sarah Weintraub, Giulio Genovese, Samuel K Powell, Anina Lund, Schahram Akbarian, Kevin Eggan, Steven McCarroll, Jubao Duan, Dimitrios Avramopoulos, Kristen J Brennand

Schizophrenia (SZ) is a common and debilitating psychiatric disorder with limited effective treatment options. Although highly heritable, risk for this polygenic disorder depends on the complex interplay of hundreds of common and rare variants. Translating the growing list of genetic loci significantly associated with disease into medically actionable information remains an important challenge. Thus, establishing platforms with which to validate the impact of risk variants in cell-type-specific and donor-dependent contexts is critical. Towards this, we selected and characterized a collection of 12 human induced pluripotent stem cell (hiPSC) lines derived from control donors with extremely low and high SZ polygenic risk scores (PRS). These hiPSC lines are publicly available at the California Institute for Regenerative Medicine (CIRM). The suitability of these extreme PRS hiPSCs for CRISPR-based isogenic comparisons of neurons and glia was evaluated across 3 independent laboratories, identifying 9 out of 12 meeting our criteria. We report a standardized resource of publicly available hiPSCs on which we hope to perform genome engineering and generate diverse kinds of functional data, with comparisons across studies facilitated by the use of a common set of genetic backgrounds.

精神分裂症(SZ)是一种常见的使人衰弱的精神疾病,但有效的治疗方法却很有限。虽然这种多基因疾病具有高度遗传性,但其风险取决于数百种常见和罕见变异的复杂相互作用。将越来越多与疾病有显著相关性的基因位点转化为医学上可操作的信息仍是一项重要挑战。因此,建立平台以验证风险变异在细胞类型特异性和供体依赖性背景下的影响至关重要。为此,我们选择并鉴定了12个人类诱导多能干细胞(hiPSC)系,这些细胞系来自SZ多基因风险评分(PRS)极低和极高的对照供体。加利福尼亚再生医学研究所(CIRM)公开提供这些 hiPSC 细胞系。我们在 3 个独立实验室对这些极端 PRS hiPSCs 是否适合用于基于 CRISPR 的神经元和胶质细胞同源比较进行了评估,结果发现 12 个中有 9 个符合我们的标准。我们报告了一种标准化的可公开获得的 hiPSCs 资源,我们希望在这种资源上进行基因组工程并生成各种功能数据,同时通过使用一套共同的遗传背景来促进不同研究之间的比较。
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引用次数: 0
Investigating the Convergent Mechanisms between Major Depressive Disorder and Parkinson's Disease. 重度抑郁症与帕金森病趋同机制的研究。
Pub Date : 2021-02-01 DOI: 10.1159/000512657
Angela A Tran, Myra De Smet, Gary D Grant, Tien K Khoo, Dean L Pountney

Major depressive disorder (MDD) affects more than cognition, having a temporal relationship with neuroinflammatory pathways of Parkinson's disease (PD). Although this association is supported by epidemiological and clinical studies, the underlying mechanisms are unclear. Microglia and astrocytes play crucial roles in the pathophysiology of both MDD and PD. In PD, these cells can be activated by misfolded forms of the protein α-synuclein to release cytokines that can interact with multiple different physiological processes to produce depressive symptoms, including monoamine transport and availability, the hypothalamus-pituitary axis, and neurogenesis. In MDD, glial cell activation can be induced by peripheral inflammatory agents that cross the blood-brain barrier and/or c-Fos signalling from neurons. The resulting neuroinflammation can cause neurodegeneration due to oxidative stress and glutamate excitotoxicity, contributing to PD pathology. Astrocytes are another major link due to their recognized role in the glymphatic clearance mechanism. Research suggesting that MDD causes astrocytic destruction or structural atrophy highlights the possibility that accumulation of α-synuclein in the brain is facilitated as the brain cannot adequately clear the protein aggregates. This review examines research into the overlapping pathophysiology of MDD and PD with particular focus on the roles of glial cells and neuroinflammation.

重度抑郁障碍(MDD)不仅影响认知,而且与帕金森病(PD)的神经炎症通路有时间关系。尽管这种关联得到流行病学和临床研究的支持,但潜在的机制尚不清楚。小胶质细胞和星形胶质细胞在MDD和PD的病理生理中起着至关重要的作用。在PD中,这些细胞可被α-突触核蛋白的错误折叠形式激活,释放细胞因子,这些细胞因子可与多种不同的生理过程相互作用,产生抑郁症状,包括单胺转运和可用性、下丘脑-垂体轴和神经发生。在MDD中,神经胶质细胞的激活可由穿过血脑屏障和/或来自神经元的c-Fos信号的外周炎症因子诱导。由此产生的神经炎症可引起氧化应激和谷氨酸兴奋毒性引起的神经变性,从而导致PD病理。星形胶质细胞是另一个主要环节,因为它们在淋巴清除机制中发挥着公认的作用。研究表明,MDD导致星形细胞破坏或结构萎缩,这突出了α-突触核蛋白在大脑中积累的可能性,因为大脑不能充分清除蛋白质聚集体。本文综述了MDD和PD的重叠病理生理学研究,特别关注神经胶质细胞和神经炎症的作用。
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引用次数: 11
Diagnostic Reliability and Validity of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) Chinese Version. 药物依赖与酒精中毒半结构化评估(SSADDA)中文版的诊断信度与效度。
Pub Date : 2021-02-01 Epub Date: 2020-09-16 DOI: 10.1159/000511606
Bao-Zhu Yang, Liang-Jen Wang, Ming-Chyi Huang, Sheng-Chang Wang, Meng-Chang Tsai, Yu-Chi Huang, Yaira Z Nuñez, Mei-Hing Ng, Henry R Kranzler, Joel Gelernter, Chih-Ken Chen

The Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) is a polydiagnostic instrument for substance use and psychiatric disorders. We translated the SSADDA English version into Chinese (SSADDA-Chinese) and report here our examination of the diagnostic reliability and validity of DSM-IV substance dependence (SD) diagnoses in a Mandarin-speaking sample in Taiwan. We recruited 125 subjects who underwent an assessment of lifetime SD diagnoses using both the SSADDA-Chinese and the Structured Clinical Interview for DSM-IV, Clinician Version (SCID-Chinese). Thirty-one subjects were retested with the SSADDA-Chinese. Cohen's κ statistic, which measures chance-corrected agreement, was used to measure the test-retest reliability and concurrent validity of the individual SD diagnoses. There was a high degree of concordance between SD diagnoses made using the SSADDA-Chinese and the SCID-Chinese, including those for dependence on alcohol (κ = 0.83), ketamine (κ = 0.97), methamphetamine (κ = 0.93), and opioids (κ = 0.95). The test-retest reliability of dependence diagnoses for ketamine (κ = 0.95), methamphetamine (κ = 0.80), and opioids (κ = 1.00) obtained using the SSADDA-Chinese was excellent, while that for alcohol dependence (κ = 0.63) and nicotine dependence (κ = 0.65) was good. We conclude that the SSADDA-Chinese is a reliable and valid instrument for the diagnosis of major SD traits in Mandarin-speaking populations.

药物依赖和酒精中毒半结构化评估(SSADDA)是一种药物使用和精神障碍的综合诊断工具。我们将SSADDA的英文版本翻译成中文(SSADDA-Chinese),并在此报告我们对台湾讲普通话的样本中DSM-IV物质依赖(SD)诊断的信度和效度的检查。我们招募了125名受试者,使用SSADDA-Chinese和DSM-IV,临床医师版(SCID-Chinese)的结构化临床访谈对终生SD诊断进行评估。31名被试重新进行了SSADDA-Chinese测试。科恩κ统计量用于衡量机会校正的一致性,用于衡量个体SD诊断的重测信度和并发效度。SSADDA-Chinese与SCID-Chinese在酒精依赖(κ = 0.83)、氯胺酮依赖(κ = 0.97)、甲基苯丙胺依赖(κ = 0.93)、阿片类药物依赖(κ = 0.95)等方面的诊断结果高度一致。SSADDA-Chinese对氯胺酮(κ = 0.95)、甲基苯丙胺(κ = 0.80)和阿片类药物(κ = 1.00)依赖诊断的重测信度较好,对酒精依赖(κ = 0.63)和尼古丁依赖(κ = 0.65)的重测信度较好。结果表明,SSADDA-Chinese是一种可靠、有效的诊断普通话人群SD主要特征的工具。
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引用次数: 2
Front & Back Matter 正面和背面
Pub Date : 2021-02-01 DOI: 10.1159/000515240
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引用次数: 0
Transcriptomic Deconvolution of Dorsal Striata Reveals Increased Monocyte Fractions in Bipolar Disorder. 背纹状体转录组反褶积显示双相情感障碍中单核细胞比例增加。
Pub Date : 2021-02-01 Epub Date: 2020-10-01 DOI: 10.1159/000511887
Sai Batchu

Introduction: Accumulating evidence suggests a relationship between the immune system, neuroinflammation, and mood disorders such as bipolar disorder (BD). However, the immunological landscape of critical brain structures implicated with BD, such as the dorsal striatum, has yet to be characterized. This study sought to investigate the immunological composition of dorsal striata in patients with BD.

Methods: CIBERSORTx, an established RNA deconvolution algorithm, was applied on RNA-sequencing data developed from dorsal striata of 18 BD patients and 17 controls. A validated gene signature matrix for 22 human hematopoietic cell subsets was used to infer the relative proportions of immune cells that were present in the original brain tissue.

Results: Deconvolution of the bulk gene expression data showed that dorsal striata from BD subjects had a significantly greater relative abundance of monocytes compared to control samples.

Conclusion: Monocytes may play a role in the pathogenesis of BD in dorsal striata. Further studies are warranted to confirm the computational results presented herein.

越来越多的证据表明免疫系统、神经炎症和情绪障碍如双相情感障碍(BD)之间存在关系。然而,与双相障碍相关的关键脑结构(如背纹状体)的免疫学景观尚未被表征。方法:采用已建立的RNA反卷积算法CIBERSORTx,对18例BD患者和17例对照组的背纹状体的RNA测序数据进行分析。一个经过验证的22个人类造血细胞亚群的基因标记矩阵被用来推断存在于原始脑组织中的免疫细胞的相对比例。结果:大量基因表达数据的反褶积显示,与对照样本相比,BD受试者的背纹状体具有显著更高的相对单核细胞丰度。结论:单核细胞可能参与背纹体BD的发病机制。需要进一步的研究来证实本文给出的计算结果。
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引用次数: 3
Vol. 6, 2020 第6卷,2020
Pub Date : 2021-02-01 DOI: 10.1159/000514820
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引用次数: 0
Emergence 出现
Pub Date : 2021-01-06 DOI: 10.1002/cplx.10009
H. Morowitz
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引用次数: 0
期刊
Complex psychiatry
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