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  1. Article ; Online: Editorial: The spatial-temporal dynamics of host-pathogen interaction during inflammatory disease.

    Sun, Donglei / Liu, Xue / Yang, Xiuli

    Frontiers in cellular and infection microbiology

    2023  Volume 13, Page(s) 1308419

    MeSH term(s) Intravital Microscopy ; Host-Pathogen Interactions
    Language English
    Publishing date 2023-10-13
    Publishing country Switzerland
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2619676-1
    ISSN 2235-2988 ; 2235-2988
    ISSN (online) 2235-2988
    ISSN 2235-2988
    DOI 10.3389/fcimb.2023.1308419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Spatial-temporal distribution and source analysis of atmospheric particulate-bound cadmium from 1998 to 2021 in China.

    Huang, Wei / Sun, Donglei / Zhao, Tianhe / Long, Keyan / Zhang, Zunzhen

    Environmental geochemistry and health

    2024  Volume 46, Issue 2, Page(s) 44

    Abstract: Cadmium (Cd) is one of the most serious atmospheric heavy metal pollutants in China. ... ...

    Abstract Cadmium (Cd) is one of the most serious atmospheric heavy metal pollutants in China. PM
    MeSH term(s) Cadmium ; China ; Coal ; Dust ; Environmental Pollutants
    Chemical Substances Cadmium (00BH33GNGH) ; Coal ; Dust ; Environmental Pollutants
    Language English
    Publishing date 2024-01-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 52039-1
    ISSN 1573-2983 ; 0142-7245 ; 0269-4042
    ISSN (online) 1573-2983
    ISSN 0142-7245 ; 0269-4042
    DOI 10.1007/s10653-023-01788-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4723: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  3. Article: First report of

    Gong, Jiali / Sun, Donglei / Bian, Nengfei / Wang, Rongqi / Wang, Xing / Wang, Xiaojun

    Plant disease

    2023  

    Abstract: Peanut ( ...

    Abstract Peanut (
    Language English
    Publishing date 2023-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 754182-x
    ISSN 0191-2917
    ISSN 0191-2917
    DOI 10.1094/PDIS-10-22-2480-PDN
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 2043: Show issues

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  4. Article ; Online: Bacterial Contamination in the Different Parts of Household Washing Machine: New Insights from Chengdu, Western China.

    Sun, Donglei / Sun, Weilian / Tang, Li / Huang, Wei / Zhang, Zunzhen

    Current microbiology

    2024  Volume 81, Issue 5, Page(s) 114

    Abstract: The moist and warm environment in the household washing machine provides ideal living conditions for the growth and survival of various microorganisms. However, the biodiversity of bacterial community in the different parts of washing machine from ... ...

    Abstract The moist and warm environment in the household washing machine provides ideal living conditions for the growth and survival of various microorganisms. However, the biodiversity of bacterial community in the different parts of washing machine from Chinese households has not been clarified. In this study, we assessed the bacterial communities in sealing strip, detergent drawer, inner drum, water filter and greywater of ten domestic washing machines quantitatively and qualitatively in Chengdu, southwestern China. The microbial cultivation results indicated that the washing machines from Chengdu had a severe microbial contamination reflected by large counts on bacteria, fungi and coliform. Furthermore, the sequencing data showed that the different parts displayed distinctive bacterial compositions. At the level of genus, the anaerobic bacteria of Caproiciproducens and Acidipropionibacterium were predominant in sealing strip. Barnesiella, Shinella and Sellimonas were detected as the characteristic bacteria in detergent drawer. The pathogens of Luteibacter and Corynebacterium at the genus level were the dominant bacteria in inner drum and water filter, respectively. The genera of Azospira, Roseococcus, Elstera and Aquicella, which belonged to the pathogenic phylum of Proteobacteria, were identified as bioindicators for the greywater. Gene function analysis on the sequencing data illustrated that the bacteria from washing machines were potentially associated with bacterial infectious diseases and antimicrobial resistance. This study shows the bacterial diversity in the different parts of washing machines, providing new clues for bacterial contamination in washing machines from Chinese households.
    MeSH term(s) Detergents ; Bacteria ; Proteobacteria ; Bacteroidetes ; Water
    Chemical Substances Detergents ; Water (059QF0KO0R)
    Language English
    Publishing date 2024-03-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 134238-1
    ISSN 1432-0991 ; 0343-8651
    ISSN (online) 1432-0991
    ISSN 0343-8651
    DOI 10.1007/s00284-024-03630-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1446: Show issues Location:
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  5. Article ; Online: Alternatively activated lung alveolar and interstitial macrophages promote fungal growth.

    Strickland, Ashley B / Chen, Yanli / Sun, Donglei / Shi, Meiqing

    iScience

    2023  Volume 26, Issue 5, Page(s) 106717

    Abstract: How lung macrophages, especially interstitial macrophages (IMs), respond to invading pathogens remains elusive. Here, we show that mice exhibited a rapid and substantial expansion of macrophages, especially ... ...

    Abstract How lung macrophages, especially interstitial macrophages (IMs), respond to invading pathogens remains elusive. Here, we show that mice exhibited a rapid and substantial expansion of macrophages, especially CX3CR1
    Language English
    Publishing date 2023-04-23
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2023.106717
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Editorial: Omics-originated exploration of pathogenic patterns and molecular mechanisms in human and animal fungal pathogens.

    Xu, Chuan / Kadosh, David / Sun, Donglei / Zeng, Guohong / Gao, Yi-Zhou

    Frontiers in microbiology

    2023  Volume 14, Page(s) 1243709

    Language English
    Publishing date 2023-07-11
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1243709
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Chlorophyl-Passivated Ytterbium-Doped Perovskite Quantum-Cutting Film for High-Performance Solar Energy Conversion and Near-Infrared Light-Emitting Diode Applications.

    Sun, Xiaomei / Liu, Shuainan / Zhou, Donglei / Ding, Nan / Wang, Tianyuan / Wang, Yuqi / Wang, Yue / Li, Wei / Song, Hongwei

    The journal of physical chemistry letters

    2024  Volume 15, Issue 10, Page(s) 2665–2674

    Abstract: The quantum cutting ytterbium ( ... ...

    Abstract The quantum cutting ytterbium (Yb
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.4c00121
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Oxidative Stress Induced by Arsenite is Involved in YTHDF2 Phase Separation.

    Man, Jin / Zhang, Qian / Zhao, Tianhe / Sun, Donglei / Sun, Weilian / Long, Keyan / Zhang, Zunzhen

    Biological trace element research

    2023  Volume 202, Issue 3, Page(s) 885–899

    Abstract: ... YTH ... ...

    Abstract YTH N
    MeSH term(s) Humans ; Acetylcysteine/pharmacology ; Arsenites/toxicity ; Phase Separation ; Oxidative Stress ; RNA-Binding Proteins/genetics
    Chemical Substances Acetylcysteine (WYQ7N0BPYC) ; arsenite (N5509X556J) ; Arsenites ; YTHDF2 protein, human ; RNA-Binding Proteins
    Language English
    Publishing date 2023-06-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 445336-0
    ISSN 1559-0720 ; 0163-4984
    ISSN (online) 1559-0720
    ISSN 0163-4984
    DOI 10.1007/s12011-023-03728-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2323: Show issues Location:
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  9. Article: Impact of soil inorganic nitrogen on bacterial phylogeny in estuarine intertidal zones: a study of nitrogen metabolism.

    Li, Siqi / Liu, Tianyang / Liu, Cheng / Sun, Donglei / Yan, Qin / Gao, Dengzhou / Zhang, Zongxiao

    Frontiers in microbiology

    2024  Volume 14, Page(s) 1341564

    Abstract: Here we investigated the potential impacts of soil inorganic nitrogen (SIN) content on the phylogenetic characteristics and ecological functions of soil bacterial communities in estuarine intertidal zones in China, aiming to comprehend the response ... ...

    Abstract Here we investigated the potential impacts of soil inorganic nitrogen (SIN) content on the phylogenetic characteristics and ecological functions of soil bacterial communities in estuarine intertidal zones in China, aiming to comprehend the response mechanism of soil microorganisms to variations in SIN content within estuarine wetlands. Our results show that SIN in estuarine areas has a significant spatiotemporal variation on spatial and seasonal scales, in this study and is significantly associated with the phylogenetic diversity and phylogenetic turnover of soil bacterial communities. In addition, the results of the metagenomic analysis showed that the relative abundance of nitrogen-cycling functional genes in bacterial communities did not differ significantly in sampling sites and seasons, and weakly correlated with SIN content. Further, the results based on structural equation modeling (SEM) analysis showed that SIN directly and significantly regulated the phylogenetic characteristics of bacterial communities, thereby indirectly affecting the potential of bacterial nitrogen metabolism. This study emphasizes the key influence of SIN variations on the phylogenetic dissimilarity in soil bacterial communities. Moreover, although there was a weak direct relationship between the functional characteristics of the bacterial nitrogen metabolism and SIN content, the spatiotemporal variation of bacterial nitrogen metabolic potential may be indirectly regulated by SIN content by influencing the phylogenetic diversity in bacterial communities. Our study unravels the pivotal mechanisms through which SIN content influences bacterial communities, thereby offering novel insights into the microbial intricacies governing nitrogen metabolism within estuaries.
    Language English
    Publishing date 2024-01-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2023.1341564
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Performance of different machine learning algorithms in identifying undiagnosed diabetes based on nonlaboratory parameters and the influence of muscle strength: A cross-sectional study.

    Xu, Ying / Qiu, Shanhu / Ye, Jinli / Chen, Dan / Wang, Donglei / Zhou, Xiaoying / Sun, Zilin

    Journal of diabetes investigation

    2024  

    Abstract: Aims/introduction: Machine learning algorithms based on the artificial neural network (ANN), support vector machine, naive Bayesian or logistic regression model are commonly used to identify diabetes. This study investigated which approach performed the ...

    Abstract Aims/introduction: Machine learning algorithms based on the artificial neural network (ANN), support vector machine, naive Bayesian or logistic regression model are commonly used to identify diabetes. This study investigated which approach performed the best and whether muscle strength provided any incremental benefit in identifying undiagnosed diabetes in Chinese adults.
    Methods: This cross-sectional study enrolled 4,482 eligible participants from eight provinces in China, who were randomly divided into the training dataset (n = 3,586) and the testing dataset (n = 896). Muscle strength was assessed by handgrip strength and the number of chair stands in the 30-s chair stand test. An oral glucose tolerance test was used to ascertain undiagnosed diabetes. The areas under the curve (AUCs) were calculated accordingly and compared with each other.
    Results: Of the included participants, 233 had newly diagnosed diabetes. All the four machine learning algorithms, which were developed based on nonlaboratory parameters, showed acceptable discriminative ability in identifying undiagnosed diabetes (all AUCs >0.70), with the ANN approach performing the best (AUC 0.806). Adding handgrip strength or the 30-s chair stand test to this approach did not increase the AUC further (P = 0.39 and 0.26, respectively). Furthermore, compared with the New Chinese Diabetes Risk Score, the ANN approach showed a larger AUC in identifying undiagnosed diabetes (P
    Conclusions: The ANN approach performed the best in identifying undiagnosed diabetes in Chinese adults; however, the addition of muscle strength might not improve its efficacy.
    Language English
    Publishing date 2024-03-04
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2625840-7
    ISSN 2040-1124 ; 2040-1116
    ISSN (online) 2040-1124
    ISSN 2040-1116
    DOI 10.1111/jdi.14166
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6920: Show issues Location:
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