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EU-Projektförderung 2020 Neurowissenschaften
Q3 Medicine Pub Date : 2020-02-25 DOI: 10.1515/nf-2019-0036
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引用次数: 0
Food reward and gut-brain signalling 食物奖励和肠道-大脑信号
Q3 Medicine Pub Date : 2020-01-24 DOI: 10.1515/nf-2019-0020
Sharmili Edwin Thanarajah, M. Tittgemeyer
Abstract The increasing availability of ultra-processed, energy dense food is contributing to the spread of the obesity pandemic, which is a serious health threat in today’s world. One possible cause for this association arises from the fact that the brain is wired to derive pleasure from eating. Specifically, food intake activates reward pathways involving dopamine receptor signalling. The reinforcing value of specific food items results from the interplay between taste and nutritional properties. Increasing evidence suggests that nutritional value is sensed in the gut by chemoreceptors in the intestinal tract and the hepatic portal vein, and conveyed to the brain through neuronal and endocrine pathways to guide food selection behaviour. Ultra-processed food is designed to potentiate the reward response through a combination of high fat and high sugar, therebye seeming highly appetizing. There is increasing evidence that overconsumption of processed food distorts normal reward signalling, leading to compulsive eating behaviour and obesity. Hence, it is essential to understand food reward and gut-brain signalling to find an effective strategy to combat the obesity pandemic.
越来越多的超加工、能量密集的食品正在导致肥胖的蔓延,这是当今世界严重的健康威胁。造成这种联系的一个可能原因是,大脑天生就会从吃东西中获得快乐。具体来说,食物摄入激活了多巴胺受体信号的奖赏通路。特定食物的强化价值源于味道和营养特性之间的相互作用。越来越多的证据表明,营养价值在肠道中通过肠道和肝门静脉的化学感受器感知,并通过神经元和内分泌途径传递给大脑,以指导食物选择行为。超加工食品被设计成通过高脂肪和高糖的组合来增强奖励反应,因此看起来非常开胃。越来越多的证据表明,过度食用加工食品会扭曲正常的奖励信号,导致强迫性饮食行为和肥胖。因此,了解食物奖励和肠道-大脑信号对于找到对抗肥胖流行的有效策略至关重要。
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引用次数: 3
Prof. Dr. med. Dr. med. h.c. Georg W. Kreutzberg 医学教授,医学博士,乔治·w·克罗伊茨伯格博士
Q3 Medicine Pub Date : 2020-01-24 DOI: 10.1515/nf-2019-0033
W. Streit, M. Graeber
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引用次数: 0
The enteric nervous system: “A little brain in the gut” 肠神经系统:“肠道里有一个小大脑”
Q3 Medicine Pub Date : 2020-01-11 DOI: 10.1515/nf-2019-0027
A. Annaházi, M. Schemann
Abstract The gut’s own autonomous nervous system, the enteric nervous system (ENS), has fascinated scientists for more than 100 years. It functions, in the true sense of the word, autonomously, by performing complex tasks and controlling vital functions independently of extrinsic inputs. At the same time, the ENS is bombarded with signals from other cells in the gut wall and lumen and has to integrate all of these inputs. We describe the main functions of the ENS under physiological conditions and give a few examples of its role in gut diseases. The ENS has received increasing attention recently as scientists outside the field of Neurogastroenterology realize its important role in the pathogenesis of Parkinson’s, autism and multiple sclerosis.
摘要肠道自身的自主神经系统,即肠神经系统(ENS),100多年来一直吸引着科学家。它通过执行复杂的任务和独立于外部输入控制重要功能,在真正意义上自主发挥作用。与此同时,ENS受到来自肠壁和管腔中其他细胞的信号的轰击,必须整合所有这些输入。我们描述了ENS在生理条件下的主要功能,并举例说明其在肠道疾病中的作用。近年来,随着神经胃肠病学领域外的科学家意识到ENS在帕金森氏症、自闭症和多发性硬化症发病机制中的重要作用,ENS受到了越来越多的关注。
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引用次数: 8
The function of lysosomes and their role in Parkinson’s disease 溶酶体的功能及其在帕金森病中的作用
Q3 Medicine Pub Date : 2020-01-09 DOI: 10.1515/nf-2019-0035
Friederike Zunke
Abstract Lysosomes are cellular organelles that are important for the degradation and recycling of various biomolecules. Specialized lysosomal membrane proteins, as well as soluble enzymes, are important for the efficient turn-over of lysosomal substrates. A deficiency in the degradative capacity of lysosomes leads to severe pathologies referred to as lysosomal storage disorders. There is increasing evidence for the importance of lysosomal function in neurodegenerative disorders, including Parkinson’s disease. One reason for this might be the vulnerability of neuronal cells. Since neurons do not undergo further cell division, non-degraded substrates accumulate in aging cells, causing a buildup of toxicity. Recent genomic screenings identified a number of lysosome-associated genes as potential risk factors for Parkinson’s disease, which are discussed in this review. Moreover, it is outlined how targeting lysosomal function might help in developing novel therapeutic strategies.
摘要溶酶体是细胞器,对各种生物分子的降解和回收具有重要意义。专门的溶酶体膜蛋白以及可溶性酶对于溶酶体底物的有效转换是重要的。溶酶体降解能力的缺乏会导致被称为溶酶体储存障碍的严重病理。越来越多的证据表明溶酶体功能在包括帕金森病在内的神经退行性疾病中的重要性。其中一个原因可能是神经元细胞的脆弱性。由于神经元不经历进一步的细胞分裂,未降解的底物在衰老的细胞中积累,导致毒性的积累。最近的基因组筛查确定了许多溶酶体相关基因是帕金森病的潜在危险因素,这将在本文中进行讨论。此外,还概述了靶向溶酶体功能可能有助于开发新的治疗策略。
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引用次数: 2
Apolipoprotein E: Cholesterol metabolism and Alzheimer’s pathology 载脂蛋白E:胆固醇代谢与阿尔茨海默病病理
Q3 Medicine Pub Date : 2020-01-08 DOI: 10.1515/nf-2019-0030
Theresa Pohlkamp
Abstract Age is the greatest risk factor for Alzheimer’s disease (AD). Today, due to an increase in global life expectancy, AD-related deaths are ranked as the sixth most common cause of death. The allele isoform ɛ4 of apolipoprotein E (ApoE4) is the most important genetic risk factor for AD. Three ApoE isoforms are common in humans: ApoE2, ApoE3, and ApoE4. ApoE3 is the most frequent isoform and considered neutral with regards to AD, whereas the isoform ApoE2 is protective. Thus it is important to understand how ApoE isoforms affect amyloid-β (Aβ) and tau toxicity, the key drivers of AD pathology. Aβ and tau accumulate to form the hallmarks of AD, plaques and neurofibrillary tangles, respectively. ApoE, primarily expressed by astrocytes, is the major lipid transporter in the brain. In this review I summarize some important historic and scientific aspects of our progress in understanding the role of the cholesterol transporter ApoE in the brain, and how the isoform ApoE4 contributes to AD pathology.
年龄是阿尔茨海默病(AD)的最大危险因素。今天,由于全球预期寿命的延长,与ad相关的死亡被列为第六大最常见的死亡原因。载脂蛋白E (ApoE4)等位基因异构体是AD最重要的遗传危险因素。三种ApoE亚型在人类中很常见:ApoE2, ApoE3和ApoE4。ApoE3是最常见的异构体,被认为对AD是中性的,而ApoE2是保护性的。因此,了解ApoE亚型如何影响淀粉样蛋白-β (Aβ)和tau毒性是重要的,这是AD病理的关键驱动因素。Aβ和tau分别积聚形成AD、斑块和神经原纤维缠结的标志。ApoE主要由星形胶质细胞表达,是脑内主要的脂质转运体。在这篇综述中,我总结了一些重要的历史和科学方面的进展,以了解胆固醇转运体ApoE在大脑中的作用,以及ApoE4亚型如何参与AD病理。
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引用次数: 0
Synapses: Multitasking Global Players in the Brain 突触:大脑中的多任务全局参与者
Q3 Medicine Pub Date : 2019-12-05 DOI: 10.1515/nf-2019-0015
J. Lübke, A. Rollenhagen
Abstract Synapses are key elements in the communication between neurons in any given network of the normal adult, developmental and pathologically altered brain. Synapses are composed of nearly the same structural subelements: a presynaptic terminal containing mitochondria with an ultrastructurally visible density at the pre- and postsynaptic apposition zone. The presynaptic density is composed of a cocktail of various synaptic proteins involved in the binding, priming and docking of synaptic vesicles inducing synaptic transmission. Individual presynaptic terminals (synaptic boutons) contain a couple of hundred up to thousands of synaptic vesicles. The pre- and postsynaptic densities are separated by a synaptic cleft. The postsynaptic density, also containing various synaptic proteins and more importantly various neurotransmitter receptors and their subunits specifically composed and arranged at individual synaptic complexes, reside at the target structures of the presynaptic boutons that could be somata, dendrites, spines or initial segments of axons. Beside the importance of the network in which synapses are integrated, their individual structural composition critically determines the dynamic properties within a given connection or the computations of the entire network, in particular, the number, size and shape of the active zone, the structural equivalent to a functional neurotransmitter release site, together with the size and organization of the three functionally defined pools of synaptic vesicles, namely the readily releasable, the recycling and the resting pool, are important structural subelements governing the ‘behavior’ of synaptic complexes within a given network such as the cortical column. In the late last century, neuroscientists started to generate quantitative 3D-models of synaptic boutons and their target structures that is one possible way to correlate structure with function, thus allowing reliable predictions about their function. The re-introduction of electron microscopy (EM) as an important tool achieved by modern high-end, high-resolution transmission-EM, focused ion beam scanning-EM, CRYO-EM and EM-tomography have enormously improved our knowledge about the synaptic organization of the brain not only in various animal species, but also allowed new insights in the ‘microcosms’ of the human brain in health and disease.
摘要突触是正常成年、发育和病理改变大脑中任何特定网络中神经元之间交流的关键元件。突触由几乎相同的结构亚元件组成:突触前末端含有线粒体,在突触前和突触后并置区具有超微结构可见的密度。突触前密度由各种突触蛋白的混合物组成,这些突触蛋白参与诱导突触传递的突触小泡的结合、启动和对接。单个突触前终端(突触突)包含几百到数千个突触小泡。突触前和突触后的密度被突触间隙分开。突触后密度也包含各种突触蛋白,更重要的是,各种神经递质受体及其亚基专门组成和排列在单个突触复合体中,位于突触前突的目标结构,可能是胞体、树突、棘或轴突的初始段。除了突触整合在其中的网络的重要性之外,它们各自的结构组成关键地决定了给定连接内的动态特性或整个网络的计算,特别是活性区的数量、大小和形状,相当于功能性神经递质释放位点的结构,再加上三个功能定义的突触小泡池(即易释放池、再循环池和静息池)的大小和组织,是控制给定网络(如皮层柱)内突触复合体“行为”的重要结构子元素。上世纪末,神经科学家开始生成突触发作及其目标结构的定量3D模型,这是将结构与功能联系起来的一种可能方式,从而可以可靠地预测其功能。电子显微镜(EM)作为现代高端、高分辨率透射EM、聚焦离子束扫描EM、CRYO-EM和EM断层扫描实现的重要工具的重新引入,极大地提高了我们对大脑突触组织的认识,不仅在各种动物物种中,但也为人类大脑在健康和疾病方面的“微观世界”提供了新的见解。
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引用次数: 0
Forschergruppe (FOR 2879) ImmunoStroke: Von der Immunzelle zur Schlaganfallregeneration 研究单位(FOR 2879)免疫卒中:从免疫细胞到卒中再生
Q3 Medicine Pub Date : 2019-11-01 DOI: 10.1515/nf-2019-0031
C. Kleinschnitz, Friederike Langhauser
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引用次数: 0
The Neuroscience of Creativity 创造力的神经科学
Q3 Medicine Pub Date : 2019-11-01 DOI: 10.1515/nf-2019-0006
A. Fink, M. Benedek
Abstract While earlier neuroscience studies on creativity have been criticized due to their heterogeneity of findings, recent studies in this field have converged to some common practices and methodological approaches, which have greatly contributed to enhance both the reliability and reproducibility of findings in this field. Relevant neuroscience findings suggest that creative cognition requires a conglomerate of neurocognitive processes involving executive functions, memory processes, internally-focused attention, or spontaneous modes of thought. Studies investigating creativity in more naturalistic, real-life settings reveal some overlap with conventional creative ideation, but also indicate that creativity and its underlying neural mechanisms are specific to the particular domain. Another trend in the neuroscience of creativity is concerned with approaches to enhance creativity, involving a broad diversity of interventions ranging from cognitively-oriented techniques to interventions using physical activity.
摘要尽管早期关于创造力的神经科学研究因其研究结果的异质性而受到批评,但该领域的最新研究已经转向了一些常见的实践和方法论方法,这大大有助于提高该领域研究结果的可靠性和可重复性。相关的神经科学发现表明,创造性认知需要一系列神经认知过程,包括执行功能、记忆过程、内部集中注意力或自发思维模式。在更自然的现实生活环境中调查创造力的研究表明,创造力与传统的创造性思维有一些重叠,但也表明创造力及其潜在的神经机制是特定领域特有的。创造力神经科学的另一个趋势是提高创造力的方法,涉及广泛多样的干预措施,从认知导向的技术到利用身体活动的干预措施。
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引用次数: 6
Artificial Intelligence in Basic and Clinical Neuroscience: Opportunities and Ethical Challenges 基础和临床神经科学中的人工智能:机遇与伦理挑战
Q3 Medicine Pub Date : 2019-11-01 DOI: 10.1515/nf-2019-0018
P. Kellmeyer
Abstract The analysis of large amounts of personal data with artificial neural networks for deep learning is the driving technology behind new artificial intelligence (AI) systems for all areas in science and technology. These AI methods have evolved from applications in computer vision, the automated analysis of images, and now include frameworks and methods for analyzing multimodal datasets that combine data from many different source, including biomedical devices, smartphones and common user behavior in cyberspace. For neuroscience, these widening streams of personal data and machine learning methods provide many opportunities for basic data-driven research as well as for developing new tools for diagnostic, predictive and therapeutic applications for disorders of the nervous system. The increasing automation and autonomy of AI systems, however, also creates substantial ethical challenges for basic research and medical applications. Here, scientific and medical opportunities as well ethical challenges are summarized and discussed.
摘要用于深度学习的人工神经网络对大量个人数据的分析是科学技术各个领域新型人工智能(AI)系统背后的驱动技术。这些人工智能方法是从计算机视觉、图像自动分析的应用发展而来的,现在包括分析多模式数据集的框架和方法,这些数据集结合了来自许多不同来源的数据,包括生物医学设备、智能手机和网络空间中的常见用户行为。对于神经科学来说,这些不断扩大的个人数据流和机器学习方法为基础数据驱动的研究以及开发神经系统疾病诊断、预测和治疗应用的新工具提供了许多机会。然而,人工智能系统日益自动化和自主性,也给基础研究和医学应用带来了巨大的伦理挑战。在这里,总结和讨论了科学和医学的机遇以及伦理挑战。
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引用次数: 15
期刊
Neuroforum
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