LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 314

Search options

  1. Article ; Online: Rodent Models of Post-Stroke Dementia.

    Kim, Hahn Young / Back, Dong Bin / Choi, Bo-Ryoung / Choi, Dong-Hee / Kwon, Kyoung Ja

    International journal of molecular sciences

    2022  Volume 23, Issue 18

    Abstract: Post-stroke cognitive impairment is one of the most common complications in stroke survivors. Concomitant vascular risk factors, including aging, diabetes mellitus, hypertension, dyslipidemia, or underlying pathologic conditions, such as chronic cerebral ...

    Abstract Post-stroke cognitive impairment is one of the most common complications in stroke survivors. Concomitant vascular risk factors, including aging, diabetes mellitus, hypertension, dyslipidemia, or underlying pathologic conditions, such as chronic cerebral hypoperfusion, white matter hyperintensities, or Alzheimer's disease pathology, can predispose patients to develop post-stroke dementia (PSD). Given the various clinical conditions associated with PSD, a single animal model for PSD is not possible. Animal models of PSD that consider these diverse clinical situations have not been well-studied. In this literature review, diverse rodent models that simulate the various clinical conditions of PSD have been evaluated. Heterogeneous rodent models of PSD are classified into the following categories: surgical technique, special structure, and comorbid condition. The characteristics of individual models and their clinical significance are discussed in detail. Diverse rodent models mimicking the specific pathomechanisms of PSD could provide effective animal platforms for future studies investigating the characteristics and pathophysiology of PSD.
    MeSH term(s) Animals ; Brain Ischemia/complications ; Dementia/pathology ; Risk Factors ; Rodentia ; Stroke/complications ; Stroke/pathology
    Language English
    Publishing date 2022-09-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms231810750
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H

    Mok, Dong Hyeon / Back, Seoin / Siahrostami, Samira

    Angewandte Chemie (International ed. in English)

    2024  , Page(s) e202404677

    Abstract: Understanding selectivity trends is a crucial hurdle in the developing innovative catalysts for generating hydrogen peroxide through the two-electron oxygen reduction reaction (2e-ORR). The identification of selectivity patterns has been made more ... ...

    Abstract Understanding selectivity trends is a crucial hurdle in the developing innovative catalysts for generating hydrogen peroxide through the two-electron oxygen reduction reaction (2e-ORR). The identification of selectivity patterns has been made more accessible through the introduction of a newly developed selectivity descriptor derived from thermodynamics, denoted as ΔΔG introduced in Chem Catal. 2023, 3(3), 100568. To validate the suitability of this parameter as a descriptor for 2e-ORR selectivity, we utilize an extensive library of 155 binary alloys. We validate that ΔΔG reliably depicts the selectivity trends in binary alloys reported for their high activity in the 2e-ORR. This analysis also enables the identification of nine selective 2e-ORR catalysts underscoring the efficacy of ΔΔG as 2e-ORR selectivity descriptor. This work highlights the significance of concurrently considering both selectivity and activity trends. This holistic approach is crucial for obtaining a comprehensive understanding in the identification of high-performance catalyst materials for optimal efficiency in various applications.
    Language English
    Publishing date 2024-03-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202404677
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Characterization of Tauopathy in a Rat Model of Post-Stroke Dementia Combining Acute Infarct and Chronic Cerebral Hypoperfusion.

    Back, Dong Bin / Choi, Bo-Ryoung / Han, Jung-Soo / Kwon, Kyoung Ja / Choi, Dong-Hee / Shin, Chan Young / Lee, Jongmin / Kim, Hahn Young

    International journal of molecular sciences

    2020  Volume 21, Issue 18

    Abstract: Post-stroke dementia (PSD) is a major neurodegenerative consequence of stroke. Tauopathy has been reported in diverse neurodegenerative diseases. We investigated the cognitive impairment and pathomechanism associated with tauopathy in a rat model of PSD ... ...

    Abstract Post-stroke dementia (PSD) is a major neurodegenerative consequence of stroke. Tauopathy has been reported in diverse neurodegenerative diseases. We investigated the cognitive impairment and pathomechanism associated with tauopathy in a rat model of PSD by modeling acute ischemic stroke and underlying chronic cerebral hypoperfusion (CCH). We performed middle cerebral artery occlusion (MCAO) surgery in rats to mimic acute ischemic stroke, followed by bilateral common carotid artery occlusion (BCCAo) surgery to mimic CCH. We performed behavioral tests and focused on the characterization of tauopathy through histology. Parenchymal infiltration of cerebrospinal fluid (CSF) tracers after intracisternal injection was examined to evaluate glymphatic function. In an animal model of PSD, cognitive impairment was aggravated when BCCAo was combined with MCAO. Tauopathy, manifested by tau hyperphosphorylation, was prominent in the peri-infarct area when CCH was combined. Synergistic accentuation of tauopathy was evident in the white matter. Microtubules in the neuronal axon and myelin sheath showed partial colocalization with the hyperphosphorylated tau, whereas oligodendrocytes showed near-complete colocalization. Parenchymal infiltration of CSF tracers was attenuated in the PSD model. Our experimental results suggest a hypothesis that CCH may aggravate cognitive impairment and tau hyperphosphorylation in a rat model of PSD by interfering with tau clearance through the glymphatic system. Therapeutic strategies to improve the clearance of brain metabolic wastes, including tau, may be a promising approach to prevent PSD after stroke.
    MeSH term(s) Animals ; Brain Infarction/complications ; Brain Infarction/metabolism ; Brain Infarction/pathology ; Brain Infarction/physiopathology ; Dementia/etiology ; Dementia/metabolism ; Dementia/pathology ; Dementia/physiopathology ; Disease Models, Animal ; Male ; Maze Learning ; Rats ; Rats, Wistar ; Stroke/complications ; Stroke/metabolism ; Stroke/pathology ; Stroke/physiopathology ; Tauopathies/etiology ; Tauopathies/metabolism ; Tauopathies/pathology ; Tauopathies/physiopathology
    Language English
    Publishing date 2020-09-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms21186929
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Atomic Structure-Free Representation of Active Motifs for Expedited Catalyst Discovery.

    Mok, Dong Hyeon / Back, Seoin

    Journal of chemical information and modeling

    2021  Volume 61, Issue 9, Page(s) 4514–4520

    Abstract: To discover new catalysts using density functional theory (DFT) calculations, binding energies of reaction intermediates are considered as descriptors to predict catalytic activities. Recently, machine learning methods have been developed to reduce the ... ...

    Abstract To discover new catalysts using density functional theory (DFT) calculations, binding energies of reaction intermediates are considered as descriptors to predict catalytic activities. Recently, machine learning methods have been developed to reduce the number of computationally intensive DFT calculations for a high-throughput screening. These methods require several steps such as bulk structure optimization, surface structure modeling, and active site identification, which could be time-consuming as the number of new candidate materials increases. To bypass these processes, in this work, we report an atomic structure-free representation of active motifs to predict binding energies. We identify binding site atoms and their nearest neighboring atoms positioned in the same layer and the sublayer, and their atomic properties are collected to construct fingerprints. Our method enabled a quicker training (200-400 s using CPU) compared to the previous deep-learning models and predicted CO and H binding energies with mean absolute errors (MAEs) of 0.120 and 0.105 eV, respectively. Our method is also capable of creating all possible active motifs without any DFT calculations and predicting their binding energies using the trained model. The predicted binding energy distributions can suggest promising candidates to accelerate catalyst discovery.
    MeSH term(s) Binding Sites ; Catalysis ; Machine Learning
    Language English
    Publishing date 2021-08-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.1c00726
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Accelerating the Search for New Solid Electrolytes: Exploring Vast Chemical Space with Machine Learning-Enabled Computational Calculations.

    Kim, Jongseung / Mok, Dong Hyeon / Kim, Heejin / Back, Seoin

    ACS applied materials & interfaces

    2023  

    Abstract: Discovering new solid electrolytes (SEs) is essential to achieving higher safety and better energy density for all-solid-state lithium batteries. In this work, we report machine learning (ML)-assisted high-throughput virtual screening (HTVS) results to ... ...

    Abstract Discovering new solid electrolytes (SEs) is essential to achieving higher safety and better energy density for all-solid-state lithium batteries. In this work, we report machine learning (ML)-assisted high-throughput virtual screening (HTVS) results to identify new SE materials. This approach expands the chemical space to explore by substituting elements of prototype structures and accelerates an evaluation of properties by applying various ML models. The screening results in a few candidate materials, which are validated by density functional theory calculations and ab initio molecular dynamics simulations. The shortlisted oxysulfide materials satisfy key properties to be successful SEs. The advanced screening method presented in this work will accelerate the discovery of energy materials for related applications.
    Language English
    Publishing date 2023-11-04
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c10798
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Effect of amyloid toxicity or chronic cerebral hypoperfusion on brain insulin resistance in a rat model with intracerebroventricular streptozotocin.

    Choi, Bo-Ryoung / Seo, Ju-Ha / Back, Dong Bin / Han, Jung-Soo / Choi, Dong-Hee / Kwon, Kyoung Ja / Shin, Chan Young / Lee, Jongmin / Kim, Hahn Young

    Brain research bulletin

    2020  Volume 158, Page(s) 40–50

    Abstract: Sporadic Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder affected by amyloid and vascular pathogenesis. Brain insulin resistance (BIR) has been suggested as one of the pathomechanisms of sporadic AD. We investigated how the ... ...

    Abstract Sporadic Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder affected by amyloid and vascular pathogenesis. Brain insulin resistance (BIR) has been suggested as one of the pathomechanisms of sporadic AD. We investigated how the amyloid and vascular pathogenesis of AD interacts with BIR. We examined experimental groups mimicking amyloid pathogenesis following intracerebroventriculr (icv) injection of amyloid β or vascular pathogenesis following permanent ligation of the bilateral common carotid arteries in Wistar rats that had undergone icv injection of streptozotocin. Behavioral tests and pathologic studies were performed. Cognitive impairments were induced by BIR superimposed by amyloid or vascular pathogenesis. Neuroinflammation in the white matter and hippocampus was aggravated by an interaction between BIR and vascular pathogenesis. Amyloid-associated pathology in the white matter was enhanced by BIR and vascular pathogenesis. Tau-associated pathology in the hippocampus was altered by BIR in a relation with amyloid or vascular pathogenesis. Our study may provide useful experimental insights based on an integrated approach to the influence of amyloid and vascular pathogenesis on BIR, permitting better understanding of the heterogeneous pathogenesis of sporadic AD. Pathologic responses in sporadic AD may differ depending on amyloid and vascular pathogenesis and may sometimes be synergistically aggravated when combined with BIR.
    MeSH term(s) Amyloid beta-Peptides/administration & dosage ; Amyloid beta-Peptides/toxicity ; Animals ; Brain/drug effects ; Brain/metabolism ; Brain/physiopathology ; Cerebrovascular Circulation/drug effects ; Cerebrovascular Circulation/physiology ; Disease Models, Animal ; Injections, Intraventricular ; Insulin Resistance/physiology ; Male ; Maze Learning/drug effects ; Maze Learning/physiology ; Rats ; Rats, Wistar ; Streptozocin/toxicity
    Chemical Substances Amyloid beta-Peptides ; Streptozocin (5W494URQ81)
    Language English
    Publishing date 2020-02-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 197620-5
    ISSN 1873-2747 ; 0361-9230
    ISSN (online) 1873-2747
    ISSN 0361-9230
    DOI 10.1016/j.brainresbull.2020.02.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Data-driven discovery of electrocatalysts for CO

    Mok, Dong Hyeon / Li, Hong / Zhang, Guiru / Lee, Chaehyeon / Jiang, Kun / Back, Seoin

    Nature communications

    2023  Volume 14, Issue 1, Page(s) 7303

    Abstract: The electrochemical carbon dioxide reduction reaction ( ... ...

    Abstract The electrochemical carbon dioxide reduction reaction (CO
    Language English
    Publishing date 2023-11-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-023-43118-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Characterization of Tauopathy in a Rat Model of Post-Stroke Dementia Combining Acute Infarct and Chronic Cerebral Hypoperfusion

    Dong Bin Back / Bo-Ryoung Choi / Jung-Soo Han / Kyoung Ja Kwon / Dong-Hee Choi / Chan Young Shin / Jongmin Lee / Hahn Young Kim

    International Journal of Molecular Sciences, Vol 21, Iss 6929, p

    2020  Volume 6929

    Abstract: Post-stroke dementia (PSD) is a major neurodegenerative consequence of stroke. Tauopathy has been reported in diverse neurodegenerative diseases. We investigated the cognitive impairment and pathomechanism associated with tauopathy in a rat model of PSD ... ...

    Abstract Post-stroke dementia (PSD) is a major neurodegenerative consequence of stroke. Tauopathy has been reported in diverse neurodegenerative diseases. We investigated the cognitive impairment and pathomechanism associated with tauopathy in a rat model of PSD by modeling acute ischemic stroke and underlying chronic cerebral hypoperfusion (CCH). We performed middle cerebral artery occlusion (MCAO) surgery in rats to mimic acute ischemic stroke, followed by bilateral common carotid artery occlusion (BCCAo) surgery to mimic CCH. We performed behavioral tests and focused on the characterization of tauopathy through histology. Parenchymal infiltration of cerebrospinal fluid (CSF) tracers after intracisternal injection was examined to evaluate glymphatic function. In an animal model of PSD, cognitive impairment was aggravated when BCCAo was combined with MCAO. Tauopathy, manifested by tau hyperphosphorylation, was prominent in the peri-infarct area when CCH was combined. Synergistic accentuation of tauopathy was evident in the white matter. Microtubules in the neuronal axon and myelin sheath showed partial colocalization with the hyperphosphorylated tau, whereas oligodendrocytes showed near-complete colocalization. Parenchymal infiltration of CSF tracers was attenuated in the PSD model. Our experimental results suggest a hypothesis that CCH may aggravate cognitive impairment and tau hyperphosphorylation in a rat model of PSD by interfering with tau clearance through the glymphatic system. Therapeutic strategies to improve the clearance of brain metabolic wastes, including tau, may be a promising approach to prevent PSD after stroke.
    Keywords post-stroke dementia ; tauopathy ; animal model ; chronic cerebral hypoperfusion ; glymphatic system ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Article ; Online: Chronic cerebral hypoperfusion induces post-stroke dementia following acute ischemic stroke in rats.

    Back, Dong Bin / Kwon, Kyoung Ja / Choi, Dong-Hee / Shin, Chan Young / Lee, Jongmin / Han, Seol-Heui / Kim, Hahn Young

    Journal of neuroinflammation

    2017  Volume 14, Issue 1, Page(s) 216

    Abstract: Background: Post-stroke dementia (PSD) is one of the major consequences after stroke. Chronic cerebral hypoperfusion (CCH) can induce vascular cognitive impairment and potentiate amyloid pathology. We investigated how CCH contributes to the development ... ...

    Abstract Background: Post-stroke dementia (PSD) is one of the major consequences after stroke. Chronic cerebral hypoperfusion (CCH) can induce vascular cognitive impairment and potentiate amyloid pathology. We investigated how CCH contributes to the development of PSD after stroke in the context of neuroinflammation and amyloid pathology.
    Methods: We designed a unique animal model for PSD. We performed middle cerebral artery occlusion (MCAO) surgery in rats mimicking acute territorial infarct, which was followed by bilateral common carotid artery occlusion (BCCAo) surgery mimicking CCH. We performed behavioral tests including neurologic function test and water maze task and histological investigations including neuroinflammation, neuronal cell death, amyloid pathology, and aquaporin 4 (AQP4) distribution.
    Results: Spatial memory was synergistically impaired when BCCAo was superimposed on MCAO. Neuroinflammation with astroglial or microglial activation and amyloid pathology were enhanced in the ipsilateral cortex, thalamus, and hippocampus when BCCAo was superimposed on MCAO. Glymphatic pathway-related AQP4 distribution changed from perivascular to parenchymal pattern.
    Conclusions: Our experimental results suggest that CCH may contribute to the development of PSD by interfering with amyloid clearance through the glymphatic pathway and concomitant neuroinflammation. Therapeutic strategy to clear brain metabolic waste through the glymphatic pathway may be a promising approach to prevent PSD after stroke.
    MeSH term(s) Animals ; Brain Ischemia/complications ; Brain Ischemia/pathology ; Dementia/etiology ; Dementia/pathology ; Disease Models, Animal ; Male ; Rats ; Rats, Wistar ; Stroke/complications ; Stroke/pathology
    Language English
    Publishing date 2017-11-09
    Publishing country England
    Document type Journal Article
    ISSN 1742-2094
    ISSN (online) 1742-2094
    DOI 10.1186/s12974-017-0992-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Defect-rich N-doped CeO₂ supported by N-doped graphene as a metal-free plasmonic hydrogen evolution photocatalyst

    Van Dao, Dung / Jung, Hyun Dong / Nguyen, Thuy T. D / Ki, Sang-Woo / Son, Hoki / Bae, Kang-Bin / Le, Thanh Duc / Cho, Yeong-Hoon / Yang, Jin-Kyu / Yu, Yeon-Tae / Back, Seoin / Lee, In-Hwan

    Journal of materials chemistry A. 2021 Apr. 28, v. 9, no. 16

    2021  

    Abstract: Heteroatom doping into metal oxides advantageously modulates optoelectronic properties and provides promising possibilities for efficient light-to-energy conversion. Herein, nitrogen-doped ceria (N-CeO₂) nanoparticles are prepared and then coupled with ... ...

    Abstract Heteroatom doping into metal oxides advantageously modulates optoelectronic properties and provides promising possibilities for efficient light-to-energy conversion. Herein, nitrogen-doped ceria (N-CeO₂) nanoparticles are prepared and then coupled with nitrogen-doped graphene (N-Gr) to create an active and long-lasting N-CeO₂/N-Gr heterocatalyst. Optoelectronic features of N-doping materials (e.g., plasmon) are significantly improved toward the visible-light region, particularly for 3.9% N-CeO₂/N-Gr nanocomposites. Namely, the 3.9% N-CeO₂ possesses numerous catalytic active defects (N states, oxygen vacancy, and Ce³⁺ species), leading to a narrow bandgap energy and to the improved plasmonic properties of the ceria host, while the N-Gr preferably serves as an electron scavenger to collect plasmon-generated hot electrons migrating from 3.9% N-CeO₂ to drive photocatalytic reactions under the irradiation of visible-light. Resultantly, the 3.9% N-CeO₂/N-Gr photocatalyst delivers an impressive hydrogen evolution reaction (HER) rate of 3.7 μmol mgcₐₜ⁻¹ h⁻¹ under visible-light, which is 2.0- and 8.2-fold greater than those obtained from 3.9% N-CeO₂ and CeO₂ ones, respectively. Additionally, the combination of 3.9% N-CeO₂ and N-Gr synergistically produces a long-lasting plasmonic HER photocatalyst system. Metal-free plasmonic N-doped oxides supported by N-doped graphene pave a promising pathway for efficient light-to-hydrogen fuel production accordingly.
    Keywords energy ; fuel production ; graphene ; hydrogen production ; irradiation ; light ; nanocomposites ; oxygen ; photocatalysis ; photocatalysts
    Language English
    Dates of publication 2021-0428
    Size p. 10217-10230.
    Publishing place The Royal Society of Chemistry
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2702232-8
    ISSN 2050-7496 ; 2050-7488
    ISSN (online) 2050-7496
    ISSN 2050-7488
    DOI 10.1039/d1ta01379c
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

To top