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  1. Article ; Online: A case of hypopigmented mycosis fungoides with granulomatous slack skin.

    Cui, Wenjuan / Wang, Su / Xu, Junzhu

    International journal of dermatology

    2024  Volume 63, Issue 5, Page(s) 690–691

    MeSH term(s) Humans ; Mycosis Fungoides/pathology ; Mycosis Fungoides/diagnosis ; Mycosis Fungoides/complications ; Skin Neoplasms/pathology ; Skin Neoplasms/diagnosis ; Skin Neoplasms/complications ; Hypopigmentation/pathology ; Hypopigmentation/diagnosis ; Male ; Skin/pathology ; Female
    Language English
    Publishing date 2024-03-22
    Publishing country England
    Document type Case Reports ; Letter ; Journal Article
    ZDB-ID 412254-9
    ISSN 1365-4632 ; 0011-9059 ; 1461-1244
    ISSN (online) 1365-4632
    ISSN 0011-9059 ; 1461-1244
    DOI 10.1111/ijd.17084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Large language model enhanced corpus of CO

    Chen, Xueqing / Gao, Yang / Wang, Ludi / Cui, Wenjuan / Huang, Jiamin / Du, Yi / Wang, Bin

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 347

    Abstract: ... ...

    Abstract CO
    Language English
    Publishing date 2024-04-06
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03180-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: MHTAN-DTI: Metapath-based hierarchical transformer and attention network for drug-target interaction prediction.

    Zhang, Ran / Wang, Zhanjie / Wang, Xuezhi / Meng, Zhen / Cui, Wenjuan

    Briefings in bioinformatics

    2023  Volume 24, Issue 2

    Abstract: Drug-target interaction (DTI) prediction can identify novel ligands for specific protein targets, and facilitate the rapid screening of effective new drug candidates to speed up the drug discovery process. However, the current methods are not sensitive ... ...

    Abstract Drug-target interaction (DTI) prediction can identify novel ligands for specific protein targets, and facilitate the rapid screening of effective new drug candidates to speed up the drug discovery process. However, the current methods are not sensitive enough to complex topological structures, and complicated relations between multiple node types are not fully captured yet. To address the above challenges, we construct a metapath-based heterogeneous bioinformatics network, and then propose a DTI prediction method with metapath-based hierarchical transformer and attention network for drug-target interaction prediction (MHTAN-DTI), applying metapath instance-level transformer, single-semantic attention and multi-semantic attention to generate low-dimensional vector representations of drugs and proteins. Metapath instance-level transformer performs internal aggregation on the metapath instances, and models global context information to capture long-range dependencies. Single-semantic attention learns the semantics of a certain metapath type, introduces the central node weight and assigns different weights to different metapath instances to obtain the semantic-specific node embedding. Multi-semantic attention captures the importance of different metapath types and performs weighted fusion to attain the final node embedding. The hierarchical transformer and attention network weakens the influence of noise data on the DTI prediction results, and enhances the robustness and generalization ability of MHTAN-DTI. Compared with the state-of-the-art DTI prediction methods, MHTAN-DTI achieves significant performance improvements. In addition, we also conduct sufficient ablation studies and visualize the experimental results. All the results demonstrate that MHTAN-DTI can offer a powerful and interpretable tool for integrating heterogeneous information to predict DTIs and provide new insights into drug discovery.
    MeSH term(s) Computer Simulation ; Drug Development ; Drug Discovery/methods ; Proteins/chemistry ; Learning
    Chemical Substances Proteins
    Language English
    Publishing date 2023-03-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbad079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Icephobic performance of one-step silicone-oil-infused slippery coatings: Effects of surface energy, oil and nanoparticle contents

    Cui, Wenjuan / Pakkanen, Tapani A

    Journal of colloid and interface science. 2020 Jan. 15, v. 558

    2020  

    Abstract: State-of-the-art superhydrophobic surfaces (SHSs) usually do not function in high humidity and frosty climate conditions. Lubricant-infused slippery surfaces (LISSs) with a homogeneous and ultraslippery surface are expected to be a reliable icephobic ... ...

    Abstract State-of-the-art superhydrophobic surfaces (SHSs) usually do not function in high humidity and frosty climate conditions. Lubricant-infused slippery surfaces (LISSs) with a homogeneous and ultraslippery surface are expected to be a reliable icephobic technique. Hence, the fabrication of simple and scalable bioinspired LISSs is important for practical applications.Durable one-step LISSs consisting of silicone oil and polymer mixtures were fabricated. A grid map based on added oil and silica nanoparticles was developed to tune wettability, morphology, and slippery behavior of surfaces. A similar framework for ice adhesion of lubricant-infused coatings was also presented for the design of optimal icephobic materials.LISSs with slight hydrophobicity yield slippery properties, resulting in an order of magnitude lower ice adhesion compared to SHSs. The stable 20-w% silicone-oil-infused slippery coating with slight hydrophobicity and silica nanoparticles was found to be effective in anti-icing. The nanoparticles firmly anchor the oil overlayer and eliminate contamination by drying the surface. The LISSs made of polymers with surface energy ranging from 29 to 31 mJ/m2 show the potential to achieve low ice adhesion. As a result, the use of systematic frameworks highlights the role of material parameters. One-production strategy can be broadly used to design icephobic materials.
    Keywords adhesion ; climatic factors ; coatings ; drying ; energy ; grid maps ; humidity ; hydrophobicity ; ice ; nanoparticles ; oils ; silica ; silicone ; wettability
    Language English
    Dates of publication 2020-0115
    Size p. 251-258.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2019.09.119
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Serum Cholinesterase, C-reactive Protein, Interleukin 6, and Procalcitonin Levels as Predictors of Mortality in Patients in the Intensive Care Unit.

    Liu, Qin / Fan, Xiaoguang / Cui, Wenjuan / Wang, Xincheng / Zhang, Zhaolong / Wang, Naizhi / Qiao, Lujun

    Turkish journal of anaesthesiology and reanimation

    2023  Volume 51, Issue 5, Page(s) 408–413

    Abstract: Objective: The prognostic utility of inflammatory markers in survival has been suggested in patients with cancer; however, evidence on their prognostic value in severely ill patients is very limited. We aimed to explore the prognostic value of ... ...

    Abstract Objective: The prognostic utility of inflammatory markers in survival has been suggested in patients with cancer; however, evidence on their prognostic value in severely ill patients is very limited. We aimed to explore the prognostic value of cholinesterase (ChE), C-reactive protein (CRP), interleukin-6 (IL-6), and procalcitonin (PCT) in predicting mortality in patients from the intensive care unit (ICU).
    Methods: Serum levels of ChE, CRP, IL-6 and PCT were measured in ICU patients from December 13
    Results: Among 253 ICU patients included in the study, 66 (26%) died during the ICU stay. The AUCs to predict ICU mortality were 0.643 (95% CI, 0.566-0.719), 0.648 (95% CI, 0.633-0.735), 0.643 (95% CI, 0.563-0.723) and 0.735 (95% CI, 0.664-0.807) for ChE, CRP, IL-6 and PCT, respectively. After adjusting for age, sex and disease severity, lower ChE level (<3.668 × 10
    Conclusion: ChE, CRP, IL-6 and PCT were independent ICU mortality risk factors in severely ill patients. Elevated PCT levels exhibited better predictive value than the other three biomarkers that were evaluated.
    Language English
    Publishing date 2023-10-24
    Publishing country Turkey
    Document type Journal Article
    ISSN 2667-677X
    ISSN 2667-677X
    DOI 10.4274/TJAR.2023.231349
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Through-drop imaging of moving contact lines and contact areas on opaque water-repellent surfaces.

    Vieira, Arthur / Cui, Wenjuan / Jokinen, Ville / Ras, Robin H A / Zhou, Quan

    Soft matter

    2023  Volume 19, Issue 13, Page(s) 2350–2359

    Abstract: A myriad of natural surfaces such as plant leaves and insect wings can repel water and remain unwetted inspiring scientists and engineers to develop water-repellent surfaces for various applications. Those natural and artificial water-repellent surfaces ... ...

    Abstract A myriad of natural surfaces such as plant leaves and insect wings can repel water and remain unwetted inspiring scientists and engineers to develop water-repellent surfaces for various applications. Those natural and artificial water-repellent surfaces are typically opaque, containing micro- and nano-roughness, and their wetting properties are determined by the details at the actual liquid-solid interface. However, a generally applicable way to directly observe moving contact lines on opaque water-repellent surfaces is missing. Here, we show that the advancing and receding contact lines and corresponding contact area on micro- and nano-rough water-repellent surfaces can be readily and reproducibly quantified using a transparent droplet probe. Combined with a conventional optical microscope, we quantify the progression of the apparent contact area and apparent contact line irregularity in different types of superhydrophobic silicon nanograss surfaces. Contact angles near 180° can be determined with an uncertainty as low as 0.2°, that a conventional contact angle goniometer cannot distinguish. We also identify the pinning/depinning sequences of a pillared model surface with excellent repeatability and quantify the progression of the apparent contact interface and contact angle of natural plant leaves with irregular surface topography.
    Language English
    Publishing date 2023-03-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2191476-X
    ISSN 1744-6848 ; 1744-683X
    ISSN (online) 1744-6848
    ISSN 1744-683X
    DOI 10.1039/d2sm01622b
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Construction and enhancement of government capacity for international communication and promotion of Chinese Wushu.

    Cui, Jianhua / Yu, Songting / Xu, Man / Ma, Juncheng / Cui, Wenjuan / Cao, Xueying / He, Qingshan / Luo, Wenxiao / Huang, Haiyun / Lin, Xiaomei

    Heliyon

    2024  Volume 10, Issue 4, Page(s) e25695

    Abstract: Background: In the process of international communication in Chinese Wushu (ICCW), the government controls the orientation, scale, pace. However, the ICCW currently lacks a standardised government capacity structural system, and a detailed study of ... ...

    Abstract Background: In the process of international communication in Chinese Wushu (ICCW), the government controls the orientation, scale, pace. However, the ICCW currently lacks a standardised government capacity structural system, and a detailed study of framework construction may be required to ensure the smooth development of the ICCW.
    Objectives: This study aims to clarify these elements and construct a framework for a governmental capacity system for ICCW.
    Methods: For this purpose, an expert interview outline was designed, and in-depth interviews were conducted with 61 experts. Using grounded theory in the qualitative research method, NVivo 12 software was used to conduct a three-level coding analysis of the interview text for data processing and analysis.
    Results: We extracted 58 opening codes and 11 tree nodes and categorised them into three core categories: supply side government capacity, environment-side government capacity, and demand-side government capacity, accounting for 62.36 %, 24.76 %, and 12.86 % of the total, respectively, which jointly constructed the framework structure system of the governmental capacity system for the ICCW.
    Conclusions: This study found that these three-dimensional government capacities have synergistic effects and that multiple measures work together. The government should ensure the supply side's direct promotion effect; the environmental side's indirect influencing effect; and the demand side's internal driving effect to promote ICCW. Meanwhile, a closed-loop systematic study of communication processes should be conducted in combination with communication organisations and individuals.
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Dexmedetomidine suppressed the biological behavior of RAW264.7 cells treated with LPS by down-regulating HOTAIR.

    Liu, Qin / Yang, Guang-Hu / Wang, Nai-Zhi / Wang, Xin-Cheng / Zhang, Zhao-Long / Qiao, Lu-Jun / Cui, Wen-Juan

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27690

    Abstract: Background: Previous studies have revealed dexmedetomidine have potential protective effects on vital organs by inhibiting the release of inflammatory cytokines. To investigate the effects of dexmedetomidine on sepsis, especially in the initial ... ...

    Abstract Background: Previous studies have revealed dexmedetomidine have potential protective effects on vital organs by inhibiting the release of inflammatory cytokines. To investigate the effects of dexmedetomidine on sepsis, especially in the initial inflammatory stage of sepsis. RAW264.7 cells were used as the cell model in this study to elucidate the underlying mechanisms.
    Methods: In this study, we conducted several assays to investigate the mechanisms of dexmedetomidine and HOTAIR in sepsis. Cell viability was assessed using the CCK-8 kit, while inflammation responses were measured using ELISA for IL-1β, IL-6, and TNF-α. Additionally, we employed qPCR, MeRIP, and RIP to further explore the underlying mechanisms.
    Results: Our findings indicate that dexmedetomidine treatment enhanced cell viability and reduced the production of inflammatory cytokines in LPS-treated RAW264.7 cells. Furthermore, we observed that the expression of HOTAIR was increased in LPS-treated RAW264.7 cells, which was then decreased upon dexmedetomidine pre-treatment. Further investigation demonstrated that HOTAIR could counteract the beneficial effects of dexmedetomidine on cell viability and cytokine production. Interestingly, we discovered that YTHDF1 targeted HOTAIR and was upregulated in LPS-treated RAW264.7 cells, but reduced in dexmedetomidine treatment. We also found that YTHDF1 increased HOTAIR and HOTAIR m6A levels.
    Conclusions: Collectively, our results suggest that dexmedetomidine downregulates HOTAIR and YTHDF1 expression, which in turn inhibits the biological behavior of LPS-treated RAW264.7 cells. This finding has potential implications for the prevention and treatment of sepsis-induced kidney injury.
    Language English
    Publishing date 2024-03-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27690
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction.

    Zhang, Ran / Wang, Xuezhi / Wang, Pengfei / Meng, Zhen / Cui, Wenjuan / Zhou, Yuanchun

    Briefings in bioinformatics

    2023  Volume 24, Issue 6

    Abstract: Drug-drug interaction (DDI) prediction can discover potential risks of drug combinations in advance by detecting drug pairs that are likely to interact with each other, sparking an increasing demand for computational methods of DDI prediction. However, ... ...

    Abstract Drug-drug interaction (DDI) prediction can discover potential risks of drug combinations in advance by detecting drug pairs that are likely to interact with each other, sparking an increasing demand for computational methods of DDI prediction. However, existing computational DDI methods mostly rely on the single-view paradigm, failing to handle the complex features and intricate patterns of DDIs due to the limited expressiveness of the single view. To this end, we propose a Hierarchical Triple-view Contrastive Learning framework for Drug-Drug Interaction prediction (HTCL-DDI), leveraging the molecular, structural and semantic views to model the complicated information involved in DDI prediction. To aggregate the intra-molecular compositional and structural information, we present a dual attention-aware network in the molecular view. Based on the molecular view, to further capture inter-molecular information, we utilize the one-hop neighboring information and high-order semantic relations in the structural view and semantic view, respectively. Then, we introduce contrastive learning to enhance drug representation learning from multifaceted aspects and improve the robustness of HTCL-DDI. Finally, we conduct extensive experiments on three real-world datasets. All the experimental results show the significant improvement of HTCL-DDI over the state-of-the-art methods, which also demonstrates that HTCL-DDI opens new avenues for ensuring medication safety and identifying synergistic drug combinations.
    MeSH term(s) Deep Learning ; Drug Interactions ; Semantics
    Language English
    Publishing date 2023-09-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbad324
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Painful nodule on the nose of a child.

    Cui, Wenjuan / Wan, Mingshun / Liu, Ze-Hu / Chen, Lingjing / Miao, Yingying

    Pediatric dermatology

    2023  Volume 41, Issue 1, Page(s) 127–129

    MeSH term(s) Child ; Humans ; Anti-Bacterial Agents/therapeutic use ; Skin Diseases, Bacterial ; Nose ; Nocardia Infections/drug therapy
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2023-07-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605539-4
    ISSN 1525-1470 ; 0736-8046
    ISSN (online) 1525-1470
    ISSN 0736-8046
    DOI 10.1111/pde.15384
    Database MEDical Literature Analysis and Retrieval System OnLINE

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