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Characterization of Brain Dysfunction Induced by Bacterial Lipopeptides That Alter Neuronal Activity and Network in Rodent Brains. J Neurosci 2018; 38:10672-10691. [PMID: 30381406 DOI: 10.1523/jneurosci.0825-17.2018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 08/24/2018] [Accepted: 09/15/2018] [Indexed: 12/11/2022] Open
Abstract
The immunopathological states of the brain induced by bacterial lipoproteins have been well characterized by using biochemical and histological assays. However, these studies have limitations in determining functional states of damaged brains involving aberrant synaptic activity and network, which makes it difficult to diagnose brain disorders during bacterial infection. To address this, we investigated the effect of Pam3CSK4 (PAM), a synthetic bacterial lipopeptide, on synaptic dysfunction of female mice brains and cultured neurons in parallel. Our functional brain imaging using PET with [18F]fluorodeoxyglucose and [18F] flumazenil revealed that the brain dysfunction induced by PAM is closely aligned to disruption of neurotransmitter-related neuronal activity and functional correlation in the region of the limbic system rather than to decrease of metabolic activity of neurons in the injection area. This finding was verified by in vivo tissue experiments that analyzed synaptic and dendritic alterations in the regions where PET imaging showed abnormal neuronal activity and network. Recording of synaptic activity also revealed that PAM reorganized synaptic distribution and decreased synaptic plasticity in hippocampus. Further study using in vitro neuron cultures demonstrated that PAM decreased the number of presynapses and the frequency of miniature EPSCs, which suggests PAM disrupts neuronal function by damaging presynapses exclusively. We also showed that PAM caused aggregation of synapses around dendrites, which may have caused no significant change in expression level of synaptic proteins, whereas synaptic number and function were impaired by PAM. Our findings could provide a useful guide for diagnosis and treatment of brain disorders specific to bacterial infection.SIGNIFICANCE STATEMENT It is challenging to diagnose brain disorders caused by bacterial infection because neural damage induced by bacterial products involves nonspecific neurological symptoms, which is rarely detected by laboratory tests with low spatiotemporal resolution. To better understand brain pathology, it is essential to detect functional abnormalities of brain over time. To this end, we investigated characteristic patterns of altered neuronal integrity and functional correlation between various regions in mice brains injected with bacterial lipopeptides using PET with a goal to apply new findings to diagnosis of brain disorder specific to bacterial infection. In addition, we analyzed altered synaptic density and function using both in vivo and in vitro experimental models to understand how bacterial lipopeptides impair brain function and network.
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Sun L, Zhao M, Zhang J, Liu A, Ji W, Li Y, Yang X, Wu Z. MiR-144 promotes β-amyloid accumulation-induced cognitive impairments by targeting ADAM10 following traumatic brain injury. Oncotarget 2017; 8:59181-59203. [PMID: 28938628 PMCID: PMC5601724 DOI: 10.18632/oncotarget.19469] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 06/19/2017] [Indexed: 12/24/2022] Open
Abstract
The dysregulation expression of microRNAs (miRNAs) including miR-144, has been widely documented in TBI. However, little is known about the potential roles of miR-144 in the pathogenesis of TBI. In this study, we investigated the potential effects of miR-144 on cognitive function in vivo and in vitro. The results indicated that inhibition of miR-144 conferred a better neurological outcome after TBI in vivo, as evidenced by reduced lesion volume, alleviated brain edema and increased mNSS, of particular importance, improved cognitive deficits. In vitro, miR-144 knockdown protected neuron against Glu-induced injury, by enhancing cell viability, suppressing LDH release and caspase-3 activity, and reducing cognitive-related proteins levels. However, overexpression of miR-144 in vivo and in vitro showed the opposite effects. To further explore the molecular mechanisms underlying miR-144-induced cognitive dysfunctions, we found a significant inverse correlation between miR-144 and ADAM10 expression. Moreover, the direct interaction between miR-144 and ADAM10 3’-UTR was identified by dual-luciferase reporter assay. Also, we found miR-144 negatively regulated ADAM10 protein expression. Additionally, ADAM10 could modulate β-amyloid formation involved in cognitive deficits. Notably, ADAM10 knockdown by siRNA apparently abrogated miR-144 inhibitor-mediated neuroprotection. Taken together, these findings demonstrated that elevated miR-144 promoted cognitive impairments induced by β-amyloid accumulation post-TBI through suppressing of ADAM10 expression.
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Affiliation(s)
- Liqian Sun
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Manman Zhao
- Department of Histology and Embryology, School of Basic Medical Science, North China University of Science and Technology, Tangshan 063000, P.R. China
| | - Jingbo Zhang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Aihua Liu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Wenjun Ji
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Youxiang Li
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Xinjian Yang
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Zhongxue Wu
- Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
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Abstract
Mitochondria are among a cell's most vital organelles. They not only produce the majority of the cell's ATP but also play a key role in Ca2+ buffering and apoptotic signaling. While proper allocation of mitochondria is critical to all cells, it is particularly important for the highly polarized neurons. Because mitochondria are mainly synthesized in the soma, they must be transported long distances to be distributed to the far-flung reaches of the neuron-up to 1 m in the case of some human motor neurons. Furthermore, damaged mitochondria can be detrimental to neuronal health, causing oxidative stress and even cell death, therefore the retrograde transport of damaged mitochondria back to the soma for proper disposal, as well as the anterograde transport of fresh mitochondria from the soma to repair damage, are equally critical. Intriguingly, errors in mitochondrial transport have been increasingly implicated in neurological disorders. Here, we describe how to investigate mitochondrial transport in three complementary neuronal systems: cultured induced pluripotent stem cell-derived neurons, cultured rat hippocampal and cortical neurons, and Drosophila larval neurons in vivo. These models allow us to uncover the molecular and cellular mechanisms underlying transport issues that may occur under physiological or pathological conditions.
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Kim KM, Kim SY, Palmore GTR. Axon Outgrowth of Rat Embryonic Hippocampal Neurons in the Presence of an Electric Field. ACS Chem Neurosci 2016; 7:1325-1330. [PMID: 27529437 DOI: 10.1021/acschemneuro.6b00191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Application of an electric field (EF) has long been used to induce axon outgrowth following nerve injuries. The response of mammalian neurons (e.g., axon length, axon guidance) from the central nervous system (CNS) to an EF, however, remains unclear, whereas those from amphibian or avian neuron models have been well characterized. Thus, to determine an optimal EF for axon outgrowth of mammalian CNS neurons, we applied a wide range of EF to rat hippocampal neurons. Our results showed that EF with either a high magnitude (100 mV/mm or higher) or long exposure time (10 h or longer) with low magnitude (10-30 mV/mm) caused a neurite collapse and cell death. We also investigated whether neuronal response to an EF is altered depending on the growth stage of neuron cultures by applying 30 mV/mm to cells from 1 to 11 days in vitro (DIV). Neurons showed the turnover of axon outgrowth pattern when electrically stimulated between 4-5 DIV at which point neurons have both axonal and dendritic formation. The findings of this study suggest that the developmental stage of neurons is an important factor to consider when using EF as a potential method for axon regeneration in mammalian CNS neurons.
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Affiliation(s)
- Kwang-Min Kim
- School of Engineering, ‡Center for Biomedical
Engineering, and §Department of Chemistry, Brown University, Providence, Rhode Island 02912, United States
| | - Sung Yeol Kim
- School of Engineering, ‡Center for Biomedical
Engineering, and §Department of Chemistry, Brown University, Providence, Rhode Island 02912, United States
| | - G. Tayhas R. Palmore
- School of Engineering, ‡Center for Biomedical
Engineering, and §Department of Chemistry, Brown University, Providence, Rhode Island 02912, United States
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Tonazzini I, Meucci S, Van Woerden GM, Elgersma Y, Cecchini M. Impaired Neurite Contact Guidance in Ubiquitin Ligase E3a (Ube3a)-Deficient Hippocampal Neurons on Nanostructured Substrates. Adv Healthc Mater 2016; 5:850-62. [PMID: 26845073 DOI: 10.1002/adhm.201500815] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 11/09/2015] [Indexed: 12/21/2022]
Abstract
Recent discoveries indicate that during neuronal development the signaling processes that regulate extracellular sensing (e.g., adhesion, cytoskeletal dynamics) are important targets for ubiquitination-dependent regulation, in particular through E3 ubiquitin ligases. Among these, Ubiquitin E3a ligase (UBE3A) has a key role in brain functioning, but its function and how its deficiency results in the neurodevelopmental disorder Angelman syndrome is still unclear. Here, the role of UBE3A is investigated in neurite contact guidance during neuronal development, in vitro. The microtopography sensing of wild-type and Ube3a-deficient hippocampal neurons is studied by exploiting gratings with different topographical characteristics, with the aim to compare their capabilities to read and follow physical directional stimuli. It is shown that neuronal contact guidance is defective in Ube3a-deficient neurons, and this behavior is linked to an impaired activation of the focal adhesion signaling pathway. Taken together, the results suggest that the neuronal contact sensing machinery might be affected in Angelman syndrome.
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Affiliation(s)
- I. Tonazzini
- NEST; Istituto Nanoscienze-CNR and Scuola Normale Superiore; Piazza San Silvestro 12 56127 Pisa Italy
- Fondazione Umberto Veronesi; Piazza Velasca 5 20122 Milano Italy
| | - S. Meucci
- NEST; Istituto Nanoscienze-CNR and Scuola Normale Superiore; Piazza San Silvestro 12 56127 Pisa Italy
| | - G. M. Van Woerden
- Department of Neuroscience; ENCORE Expertise Center for Neurodevelopmental Disorders; Erasmus MC, Wytemaweg 80 3000 CA Rotterdam The Netherlands
| | - Y. Elgersma
- Department of Neuroscience; ENCORE Expertise Center for Neurodevelopmental Disorders; Erasmus MC, Wytemaweg 80 3000 CA Rotterdam The Netherlands
| | - M. Cecchini
- NEST; Istituto Nanoscienze-CNR and Scuola Normale Superiore; Piazza San Silvestro 12 56127 Pisa Italy
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Neuron Image Analyzer: Automated and Accurate Extraction of Neuronal Data from Low Quality Images. Sci Rep 2015; 5:17062. [PMID: 26593337 PMCID: PMC4655406 DOI: 10.1038/srep17062] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 10/02/2015] [Indexed: 12/27/2022] Open
Abstract
Image analysis software is an essential tool used in neuroscience and neural engineering to evaluate changes in neuronal structure following extracellular stimuli. Both manual and automated methods in current use are severely inadequate at detecting and quantifying changes in neuronal morphology when the images analyzed have a low signal-to-noise ratio (SNR). This inadequacy derives from the fact that these methods often include data from non-neuronal structures or artifacts by simply tracing pixels with high intensity. In this paper, we describe Neuron Image Analyzer (NIA), a novel algorithm that overcomes these inadequacies by employing Laplacian of Gaussian filter and graphical models (i.e., Hidden Markov Model, Fully Connected Chain Model) to specifically extract relational pixel information corresponding to neuronal structures (i.e., soma, neurite). As such, NIA that is based on vector representation is less likely to detect false signals (i.e., non-neuronal structures) or generate artifact signals (i.e., deformation of original structures) than current image analysis algorithms that are based on raster representation. We demonstrate that NIA enables precise quantification of neuronal processes (e.g., length and orientation of neurites) in low quality images with a significant increase in the accuracy of detecting neuronal changes post-stimulation.
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