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  1. Book ; Thesis: Der Einfluss von Glucosamin auf die diabetische Niere

    Teuma, Loic / Feng, Yuxi

    2022  

    Institution Universität Heidelberg
    Author's details vorgelegt von Loic Teuma Dongmo ; Referentin: Frau Priv.-Doz. Dr. Yuxi Feng
    Language German
    Size 69 Seiten, Diagramme, Illustrationen
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2022
    HBZ-ID HT030008033
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Attractor neural networks with double well synapses.

    Feng, Yu / Brunel, Nicolas

    PLoS computational biology

    2024  Volume 20, Issue 2, Page(s) e1011354

    Abstract: It is widely believed that memory storage depends on activity-dependent synaptic modifications. Classical studies of learning and memory in neural networks describe synaptic efficacy either as continuous or discrete. However, recent results suggest an ... ...

    Abstract It is widely believed that memory storage depends on activity-dependent synaptic modifications. Classical studies of learning and memory in neural networks describe synaptic efficacy either as continuous or discrete. However, recent results suggest an intermediate scenario in which synaptic efficacy can be described by a continuous variable, but whose distribution is peaked around a small set of discrete values. Motivated by these results, we explored a model in which each synapse is described by a continuous variable that evolves in a potential with multiple minima. External inputs to the network can switch synapses from one potential well to another. Our analytical and numerical results show that this model can interpolate between models with discrete synapses which correspond to the deep potential limit, and models in which synapses evolve in a single quadratic potential. We find that the storage capacity of the network with double well synapses exhibits a power law dependence on the network size, rather than the logarithmic dependence observed in models with single well synapses. In addition, synapses with deeper potential wells lead to more robust information storage in the presence of noise. When memories are sparsely encoded, the scaling of the capacity with network size is similar to previously studied network models in the sparse coding limit.
    MeSH term(s) Memory ; Models, Neurological ; Neural Networks, Computer ; Learning ; Synapses
    Language English
    Publishing date 2024-02-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1011354
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Distribution of IncX3 plasmids in bacteria.

    Feng, Yu / Zong, Zhiyong

    The Lancet. Microbe

    2024  

    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Letter
    ISSN 2666-5247
    ISSN (online) 2666-5247
    DOI 10.1016/S2666-5247(24)00050-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Short-chain fatty acids are potential goalkeepers of atherosclerosis.

    Feng, Yu / Xu, Danyan

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1271001

    Abstract: Short-chain fatty acids (SCFAs) are metabolites produced by gut bacteria and play a crucial role in various inflammatory diseases. Increasing evidence suggests that SCFAs can improve the occurrence and progression of atherosclerosis. However, the ... ...

    Abstract Short-chain fatty acids (SCFAs) are metabolites produced by gut bacteria and play a crucial role in various inflammatory diseases. Increasing evidence suggests that SCFAs can improve the occurrence and progression of atherosclerosis. However, the molecular mechanisms through which SCFAs regulate the development of atherosclerosis have not been fully elucidated. This review provides an overview of the research progress on SCFAs regarding their impact on the risk factors and pathogenesis associated with atherosclerosis, with a specific focus on their interactions with the endothelium and immune cells. These interactions encompass the inflammation and oxidative stress of endothelial cells, the migration of monocytes/macrophages, the lipid metabolism of macrophages, the proliferation and migration of smooth muscle cells, and the proliferation and differentiation of Treg cells. Nevertheless, the current body of research is insufficient to comprehensively understand the full spectrum of SCFAs' mechanisms of action. Therefore, further in-depth investigations are imperative to establish a solid theoretical foundation for the development of clinical therapeutics in this context.
    Language English
    Publishing date 2023-11-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1271001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Achieving Targeted Delivery of Chemotherapeutic Particles to Small Airway Tumors via Pulmonary Route Using Endotracheal Catheters: A CFPD Study.

    Islam, Mohammad Rashedul / Feng, Yu

    Pharmaceuticals (Basel, Switzerland)

    2023  Volume 16, Issue 2

    Abstract: Tracheobronchial tumors, while uncommon, are often malignant in adults. Surgical removal is the primary therapy for non-metastatic lung malignancies, but it is only possible in a small percentage of non-small-cell lung cancer patients and is limited by ... ...

    Abstract Tracheobronchial tumors, while uncommon, are often malignant in adults. Surgical removal is the primary therapy for non-metastatic lung malignancies, but it is only possible in a small percentage of non-small-cell lung cancer patients and is limited by the number and location of tumors, as well as the patient's overall health. This study proposes an alternative treatment: administering aerosolized chemotherapeutic particles via the pulmonary route using endotracheal catheters to target lung tumors. To improve delivery efficiency to the lesion, it is essential to understand local drug deposition and particle transport dynamics. This study uses an experimentally validated computational fluid particle dynamics (CFPD) model to simulate the transport and deposition of inhaled chemotherapeutic particles in a 3-dimensional tracheobronchial tree with 10 generations (G). Based on the particle release maps, targeted drug delivery strategies are proposed to enhance particle deposition at two lung tumor sites in G10. Results indicate that controlled drug release can improve particle delivery efficiencies at both targeted regions. The use of endotracheal catheters significantly affects particle delivery efficiencies in targeted tumors. The parametric analysis shows that using smaller catheters can deliver more than 74% of particles to targeted tumor sites, depending on the location of the tumor and the catheter diameter used, compared to less than 1% using conventional particle administration methods. Furthermore, the results indicate that particle release time has a significant impact on particle deposition under the same inhalation profile. This study serves as a first step in understanding the impact of catheter diameter on localized endotracheal injection for targeting tumors in small lung airways.
    Language English
    Publishing date 2023-01-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2193542-7
    ISSN 1424-8247
    ISSN 1424-8247
    DOI 10.3390/ph16020158
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Machine learning-based predictive models and drug prediction for schizophrenia in multiple programmed cell death patterns.

    Feng, Yu / Shen, Jing

    Frontiers in molecular neuroscience

    2023  Volume 16, Page(s) 1123708

    Abstract: Background: Schizophrenia (SC) is one of the most common mental illnesses. However, the underlying genes that cause it and its effective treatments are unknown. Programmed cell death (PCD) is associated with many immune diseases and plays an important ... ...

    Abstract Background: Schizophrenia (SC) is one of the most common mental illnesses. However, the underlying genes that cause it and its effective treatments are unknown. Programmed cell death (PCD) is associated with many immune diseases and plays an important role in schizophrenia, which may be a diagnostic indicator of the disease.
    Methods: Two groups as training and validation groups were chosen for schizophrenia datasets from the Gene Expression Omnibus Database (GEO). Furthermore, the PCD-related genes of the 12 patterns were extracted from databases such as KEGG. Limma analysis was performed for differentially expressed genes (DEG) identification and functional enrichment analysis. Machine learning was employed to identify minimum absolute contractions and select operator (LASSO) regression to determine candidate immune-related center genes, construct protein-protein interaction networks (PPI), establish artificial neural networks (ANN), and validate with consensus clustering (CC) analysis, then Receiver operating characteristic curve (ROC curve) was drawn for diagnosis of schizophrenia. Immune cell infiltration was developed to investigate immune cell dysregulation in schizophrenia, and finally, related drugs with candidate genes were collected
    Results: In schizophrenia, 263 genes were crossed between DEG and PCD-related genes, and machine learning was used to select 42 candidate genes. Ten genes with the most significant differences were selected to establish a diagnostic prediction model by differential expression profiling. It was validated using artificial neural networks (ANN) and consensus clustering (CC), while ROC curves were plotted to assess diagnostic value. According to the findings, the predictive model had a high diagnostic value. Immune infiltration analysis revealed significant differences in Cytotoxic and NK cells in schizophrenia patients. Six candidate gene-related drugs were collected from the Network analyst online platform.
    Conclusion: Our study systematically discovered 10 candidate hub genes (
    Language English
    Publishing date 2023-03-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452967-9
    ISSN 1662-5099
    ISSN 1662-5099
    DOI 10.3389/fnmol.2023.1123708
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The draft genome sequence of

    Feng, Yu / Zong, Zhiyong

    Microbiology resource announcements

    2023  Volume 13, Issue 1, Page(s) e0087223

    Abstract: Enterobacter ... ...

    Abstract Enterobacter soli
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/mra.00872-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Career pathways, part 12.

    Sheikh, Bilal N / Feng, Yu-Xiong

    Nature metabolism

    2023  Volume 5, Issue 10, Page(s) 1642–1645

    MeSH term(s) Career Mobility ; Career Choice
    Language English
    Publishing date 2023-11-16
    Publishing country Germany
    Document type Journal Article
    ISSN 2522-5812
    ISSN (online) 2522-5812
    DOI 10.1038/s42255-023-00902-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Trading our way to a greener future: how environmental rights trading reduces urban carbon emissions in China-empirical analysis based on China's emission rights trading.

    Wang, Xu / Su, Xiang / Feng, Yu

    Environmental science and pollution research international

    2024  Volume 31, Issue 10, Page(s) 15671–15688

    Abstract: Environmental rights trading (ERT) is considered one of the crucial instruments for environmental governance in China, accelerating urban low-carbon sustainable development. This study utilized the Chinese Emissions Trading System (ETS), which has been ... ...

    Abstract Environmental rights trading (ERT) is considered one of the crucial instruments for environmental governance in China, accelerating urban low-carbon sustainable development. This study utilized the Chinese Emissions Trading System (ETS), which has been implemented most widely, longest, and most typical, to represent ERT and examine its contribution to urban carbon emission reduction. Through a quasi-natural experiment perspective, urban panel data were collected from 2003 to 2019, and a time-varying difference-in-differences model and moderating models were developed. The study indicates that ERT can significantly reduce carbon emissions in cities, with robust results. In addition, the carbon reduction effect of ERT varies by city region, type, and size. This phenomenon is more obvious in central and western cities and resource-based cities. Finally, a framework to strengthen the carbon reduction effect of ERT was creatively constructed. The strengthening effects of green innovation, industrial structure, and clean energy are evident. This helps provide evidence for ERT layout and extension, especially in countries with high carbon reduction needs such as China. ERT affects not only policymakers but also a greener future for every organization and individual in the city.
    MeSH term(s) Carbon ; China ; Conservation of Natural Resources ; Environmental Policy
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-02-01
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-31999-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Facilitating or inhibiting? The impact of environmental information disclosure on enterprise investment value.

    Feng, Yu / Guo, Bingnan / Wang, Xu / Hu, Feng

    Environmental science and pollution research international

    2024  Volume 31, Issue 5, Page(s) 7793–7805

    Abstract: Environmental protection, which is beneficial for the present and the future, has become a global consensus, and environmental information disclosure (EID) is an effective way to realize and fulfill enterprise environmental responsibility. Although some ... ...

    Abstract Environmental protection, which is beneficial for the present and the future, has become a global consensus, and environmental information disclosure (EID) is an effective way to realize and fulfill enterprise environmental responsibility. Although some scholars have studied the impact of EID on firms, there is less empirical evidence on the impact of EID on investors. In this study, we examine the impact of EID on enterprise investment value based on signaling theory using a time-varying difference-in-differences model and extract two channels of this effect. The study shows that the implementation of EID helps to enhance the value of enterprise investment. This enhancement will vary according to the location, the industry pollution type, and the nature of the enterprise: EID has a remarkable enhancement effect on the investment value of the eastern region, heavily polluted enterprises, and non-state-owned enterprises. To investigate the channel of EID's effect on enterprise investment value, we use the moderating effect model to analyze and find that enterprises with low tax ratios and small financing constraints can significantly enhance the effect of EID on investment value.
    MeSH term(s) Disclosure ; Consensus ; Environmental Pollution ; Industry ; Investments ; China ; Environmental Policy
    Language English
    Publishing date 2024-01-03
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-31583-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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