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  1. Article ; Online: Highly sensitive and simultaneous detection of ascorbic acid, dopamine, and uric acid using Pt@g-C

    Zhang, Lin / Yu, Liu / Peng, Junyang / Hou, Xiaoying / Du, Hongzhi

    iScience

    2024  Volume 27, Issue 3, Page(s) 109241

    Abstract: The detection of ascorbic acid (AA), dopamine (DA), and uric acid (UA) is crucial for understanding and managing various illnesses. In this research, Pt@g- ... ...

    Abstract The detection of ascorbic acid (AA), dopamine (DA), and uric acid (UA) is crucial for understanding and managing various illnesses. In this research, Pt@g-C
    Language English
    Publishing date 2024-02-15
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2024.109241
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Potential role of Natural Herbal Tea as a healthy beverage in reducing the risk of liver cancer and chronic liver disease mortality.

    Hou, Xiaoying / Liu, Yuchen / DU, Hongzhi

    Chinese journal of natural medicines

    2023  Volume 21, Issue 12, Page(s) 884–885

    MeSH term(s) Humans ; Teas, Herbal/analysis ; Beverages/analysis ; Tea ; Liver Neoplasms
    Chemical Substances Teas, Herbal ; Tea
    Language English
    Publishing date 2023-11-20
    Publishing country China
    Document type Journal Article
    ZDB-ID 2192577-X
    ISSN 1875-5364 ; 2095-6975 ; 1672-3651
    ISSN (online) 1875-5364
    ISSN 2095-6975 ; 1672-3651
    DOI 10.1016/S1875-5364(23)60507-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Editorial: The Role of Natural Products in Chronic Inflammation.

    Deng, Wenjun / Du, Hongzhi / Liu, Dahui / Ma, Zhaocheng

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 901538

    Language English
    Publishing date 2022-04-29
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.901538
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Influence of Gut Microbiota-Mediated Immune Regulation on Response to Chemotherapy.

    Deng, Yufei / Hou, Xiaoying / Wang, Haiping / Du, Hongzhi / Liu, Yuchen

    Pharmaceuticals (Basel, Switzerland)

    2024  Volume 17, Issue 5

    Abstract: The involvement of the gut microbiota in anti-cancer treatment has gained increasing attention. Alterations to the structure and function of the gut bacteria are important factors in the development of cancer as well as the efficacy of chemotherapy. ... ...

    Abstract The involvement of the gut microbiota in anti-cancer treatment has gained increasing attention. Alterations to the structure and function of the gut bacteria are important factors in the development of cancer as well as the efficacy of chemotherapy. Recent studies have confirmed that the gut microbiota and related metabolites influence the pharmacological activity of chemotherapeutic agents through interactions with the immune system. This review aims to summarize the current knowledge of how malignant tumor and chemotherapy affect the gut microbiota, how the gut microbiota regulates host immune response, and how interactions between the gut microbiota and host immune response influence the efficacy of chemotherapy. Recent advances in strategies for increasing the efficiency of chemotherapy based on the gut microbiota are also described. Deciphering the complex homeostasis maintained by the gut microbiota and host immunity provides a solid scientific basis for bacterial intervention in chemotherapy.
    Language English
    Publishing date 2024-05-08
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2193542-7
    ISSN 1424-8247
    ISSN 1424-8247
    DOI 10.3390/ph17050604
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Spatiotemporal Heterogeneity of the Characteristics and Influencing Factors of Energy-Consumption-Related Carbon Emissions in Jiangsu Province Based on DMSP-OLS and NPP-VIIRS

    Meng, Hongzhi / Zhang, Xiaoke / Du, Xindong / Du, Kaiyuan

    Land. 2023 July 08, v. 12, no. 7

    2023  

    Abstract: Scientific estimations and the dynamic monitoring of the development trend of carbon emissions from energy consumption with a long time series can provide the scientific basis for formulating and implementing regional carbon-reduction strategies. Based ... ...

    Abstract Scientific estimations and the dynamic monitoring of the development trend of carbon emissions from energy consumption with a long time series can provide the scientific basis for formulating and implementing regional carbon-reduction strategies. Based on DMSP-OLS and NPP-VIIRS night-time light data, a pixel-scale estimation model of energy-consumption carbon emissions in Jiangsu Province from 2000 to 2019 was constructed. The spatiotemporal evolution characteristics and influencing factors were analyzed using the GIS method and a GTWR (geographically and temporally weighted regression) model. The results showed that: (1) The goodness of fit of the image-fusion correction of the two night-time light data sources from 2012 to 2013 was 0.894; the goodness of fit of the carbon-emission estimation model by stages was above 0.99; and the average relative error was 7.71%, which met the requirement for the estimation accuracy. (2) During the study period, the total carbon emissions from energy consumption in Jiangsu Province continued to increase, rising from 94.7618 million tons to 313.3576 million tons, with an annual growth rate of 6.50%; and the growth rate presented an upward trend of “slow-accelerate-decelerate”. Spatially, it showed an unbalanced distribution pattern of “low north and high south”. (3) Per-capita GDP and energy intensity were the core driving factors affecting carbon emissions in Jiangsu Province over the past 20 years. Energy intensity had the greatest driving effect on carbon emissions in southern Jiangsu, while per-capita GDP had the greatest influence in central and northern Jiangsu. Coordinating the relationship between central, north, and south Jiangsu is of great significance for the realization of the sustainable economic and social development of the double carbon goal.
    Keywords carbon ; energy ; land ; models ; time series analysis ; China
    Language English
    Dates of publication 2023-0708
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2682955-1
    ISSN 2073-445X
    ISSN 2073-445X
    DOI 10.3390/land12071369
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Intraspecific variation in genome size in

    Luo, Dandan / Zeng, Zeyi / Wu, Zongqi / Chen, Changjie / Zhao, Tingting / Du, Hongzhi / Miao, Yuhuan / Liu, Dahui

    3 Biotech

    2023  Volume 13, Issue 2, Page(s) 57

    Abstract: Different collections and accessions ... ...

    Abstract Different collections and accessions of
    Language English
    Publishing date 2023-01-22
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2600522-0
    ISSN 2190-5738 ; 2190-572X
    ISSN (online) 2190-5738
    ISSN 2190-572X
    DOI 10.1007/s13205-022-03412-y
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  7. Article ; Online: A multiview deep learning-based prediction pipeline augmented with confident learning can improve performance in determining knee arthroplasty candidates.

    Liu, Hongzhi / Wang, Xiaoyao / Song, Xinqiu / Han, Bing / Li, Chuiqing / Du, Fuzhou / Zhang, Hongmei

    Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

    2024  

    Abstract: Purpose: Preoperative prudent patient selection plays a crucial role in knee osteoarthritis management but faces challenges in appropriate referrals such as total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA) and nonoperative ... ...

    Abstract Purpose: Preoperative prudent patient selection plays a crucial role in knee osteoarthritis management but faces challenges in appropriate referrals such as total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA) and nonoperative intervention. Deep learning (DL) techniques can build prediction models for treatment decision-making. The aim is to develop and evaluate a knee arthroplasty prediction pipeline using three-view X-rays to determine the suitable candidates for TKA, UKA or are not arthroplasty candidates.
    Methods: A study was conducted using three-view (anterior-posterior, lateral and patellar) X-rays and surgical data of patients undergoing TKA, UKA or nonarthroplasty interventions from sites A and B. Data from site A were used to derive and validate models. Data from site B were used as external test set. A DL pipeline combining YOLOv3 and ResNet-18 with confident learning (CL) was developed. Multiview Convolutional Neural Network, EfficientNet-b4, ResNet-101 and the proposed model without CL were also trained and tested. The models were evaluated using metrics such as area under the receiver operating characteristic curve (AUC), accuracy, precision, specificity, sensitivity and F1 score.
    Results: The data set comprised a total of 1779 knees. Of which 1645 knees were from site A as a derivation set and an internal validation cohort. The external validation cohort consisted of 134 knees. The internal validation cohort demonstrated superior performance for the proposed model augmented with CL, achieving an AUC of 0.94 and an accuracy of 85.9%. External validation further confirmed the model's generalisation, with an AUC of 0.93 and an accuracy of 82.1%. Comparative analysis with other neural network models showed the proposed model's superiority.
    Conclusions: The proposed DL pipeline, integrating YOLOv3, ResNet-18 and CL, provides accurate predictions for knee arthroplasty candidates based on three-view X-rays. This prediction model could be useful in performing decision making for the type of arthroplasty procedure in an automated fashion.
    Level of evidence: Level III, diagnostic study.
    Language English
    Publishing date 2024-05-07
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1159064-6
    ISSN 1433-7347 ; 0942-2056
    ISSN (online) 1433-7347
    ISSN 0942-2056
    DOI 10.1002/ksa.12221
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3742: Show issues Location:
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  8. Article ; Online: Electrochemical H

    Zhang, Lin / Wang, Yu / Wang, Yuqiao / Guo, Meiling / Li, Zhouyuan / Jin, Xianbo / Du, Hongzhi

    Talanta

    2023  Volume 261, Page(s) 124600

    Abstract: ... Reliable ... ...

    Abstract Reliable H
    MeSH term(s) Graphite/chemistry ; Hydrogen Peroxide ; Metal Nanoparticles/chemistry ; Drug Evaluation ; Electrochemical Techniques ; Biosensing Techniques ; Gold/chemistry ; Antineoplastic Agents/pharmacology
    Chemical Substances Graphite (7782-42-5) ; Hydrogen Peroxide (BBX060AN9V) ; Gold (7440-57-5) ; Antineoplastic Agents
    Language English
    Publishing date 2023-05-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1500969-5
    ISSN 1873-3573 ; 0039-9140
    ISSN (online) 1873-3573
    ISSN 0039-9140
    DOI 10.1016/j.talanta.2023.124600
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  9. Article ; Online: Chemical composition of Artemisia argyi essential oil and its antifungal activity against dermatophytes by inhibiting oxidative phosphorylation and causing oxidative damage.

    Li, Jinxin / Guo, Chaowei / Wen, Xuejiao / Chen, Hong / Du, Hongzhi / Liu, Dahui

    Journal of ethnopharmacology

    2024  Volume 331, Page(s) 118344

    Abstract: Ethnopharmacological relevance: Dermatophytes are notorious pathogens capable of infecting various mammals skin, posing serious threats to human health and overall life quality worldwide. Artemisia argyi has been recorded and applied for over a thousand ...

    Abstract Ethnopharmacological relevance: Dermatophytes are notorious pathogens capable of infecting various mammals skin, posing serious threats to human health and overall life quality worldwide. Artemisia argyi has been recorded and applied for over a thousand years to treat skin itching. Although it has the potential to be developed as a plant-based antifungal agent, it's antifungal activity and action mechanism of active ingredients are still unclear.
    Aim of the study: The aim of this study was to investigate the chemical composition, antifungal activity against skin fungi, and potential mechanisms of Artemisia argyi essential oil (AEO).
    Materials and methods: The chemical composition of AEO was analyzed by gas chromatography-mass spectrometry (GC-MS) firstly. Flat growth restraint and double half dilution tests was performed to evaluate AEO antifungal activity against Microsporum gypseum, Trichophyton mentagrophytes, and Trichophyton rubrum. And then, the physiological mechanism of AEO inhibiting dermatophytes was systematically explored through scanning electron microscopy, relative conductivity, membrane leakage, ROS content, and antioxidant enzyme activity. Finally, the main pathways were screened through transcriptome sequencing, while the related genes expression levels and enzyme activity were validated.
    Results: Monoterpenes and sesquiterpenoids were the most highly representative class of AEO. AEO had powerful antifungal activity against M. gypseum, T. mentagrophytes, and T. rubrum, with minimum inhibitory concentration (MIC) values of 0.6, 1.2, and 1.2 μL/mL, respectively. Moreover, AEO can also damage the cell membrane integrity of T. mentagrophytes, resulting in cellular extravasation of intracellular substances. Transcriptome analysis revealed that the main target of AEO is to inhibit electron transfer and oxidative phosphorylation during respiration, ultimately leading to obstruction of normal ATP synthesis and energy metabolism in mitochondria. And a large amount of ROS will generate due to the incompletely catalysis of oxygen under mitochondrial complexes. Coupled with the decrease of antioxidant enzyme (SOD, POD) activity, excessive accumulation of ROS will cause serious oxidative damage to cells and eventually exhibiting antifungal activity against dermatophytes.
    Conclusions: The present study demonstrated that Artemisia argyi was a valuable source of active compounds with antifungal activity. These findings support AEO as a potential agent to inhibit dermatophytes and prevent related dermatophytoses.
    MeSH term(s) Artemisia/chemistry ; Antifungal Agents/pharmacology ; Oils, Volatile/pharmacology ; Oils, Volatile/chemistry ; Arthrodermataceae/drug effects ; Oxidative Stress/drug effects ; Oxidative Phosphorylation/drug effects ; Microbial Sensitivity Tests ; Gas Chromatography-Mass Spectrometry
    Chemical Substances Antifungal Agents ; Oils, Volatile
    Language English
    Publishing date 2024-05-14
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 134511-4
    ISSN 1872-7573 ; 0378-8741
    ISSN (online) 1872-7573
    ISSN 0378-8741
    DOI 10.1016/j.jep.2024.118344
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1494: Show issues Location:
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  10. Article ; Online: Cage-like silsesquioxanes-based hybrid materials.

    Du, Yajing / Liu, Hongzhi

    Dalton transactions (Cambridge, England : 2003)

    2020  Volume 49, Issue 17, Page(s) 5396–5405

    Abstract: Cage-like silsesquioxanes are considered to be ideal and versatile building blocks of hybrid materials due to their unique structures and excellent performance. This Perspective highlights recent advances in the field of cage-like silsesquioxane-based ... ...

    Abstract Cage-like silsesquioxanes are considered to be ideal and versatile building blocks of hybrid materials due to their unique structures and excellent performance. This Perspective highlights recent advances in the field of cage-like silsesquioxane-based hybrid materials, ranging from monomer functionalization and materials preparation to application. The existing issues are reviewed and the challenges and prospects in this field are also discussed for further development and exploitation.
    Language English
    Publishing date 2020-03-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d0dt00587h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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