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  1. Article ; Online: Authors' reply to Letter regarding "Probing Long COVID through a Proteomic Lens: a Comprehensive Two-Year Longitudinal Cohort Study of Hospitalised Survivor".

    Gu, Xiaoying / Wong, Catherine C L / Cao, Bin

    EBioMedicine

    2024  Volume 101, Page(s) 105029

    MeSH term(s) Humans ; COVID-19 ; Longitudinal Studies ; Post-Acute COVID-19 Syndrome ; Proteomics ; Cohort Studies
    Language English
    Publishing date 2024-02-21
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2024.105029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Post-COVID-19 condition symptoms 6-12 months after hospitalisation in Wuhan - Authors' reply.

    Gu, Xiaoying / Huang, Lixue / Zhang, Hui / Cao, Bin

    Lancet (London, England)

    2024  Volume 403, Issue 10434, Page(s) 1336–1337

    MeSH term(s) Humans ; COVID-19 ; Hospitalization
    Language English
    Publishing date 2024-04-05
    Publishing country England
    Document type Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(24)00415-X
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  3. Article ; Online: Prediction of disease-related miRNAs by voting with multiple classifiers.

    Gu, Changlong / Li, Xiaoying

    BMC bioinformatics

    2023  Volume 24, Issue 1, Page(s) 177

    Abstract: There is strong evidence to support that mutations and dysregulation of miRNAs are associated with a variety of diseases, including cancer. However, the experimental methods used to identify disease-related miRNAs are expensive and time-consuming. ... ...

    Abstract There is strong evidence to support that mutations and dysregulation of miRNAs are associated with a variety of diseases, including cancer. However, the experimental methods used to identify disease-related miRNAs are expensive and time-consuming. Effective computational approaches to identify disease-related miRNAs are in high demand and would aid in the detection of lncRNA biomarkers for disease diagnosis, treatment, and prevention. In this study, we develop an ensemble learning framework to reveal the potential associations between miRNAs and diseases (ELMDA). The ELMDA framework does not rely on the known associations when calculating miRNA and disease similarities and uses multi-classifiers voting to predict disease-related miRNAs. As a result, the average AUC of the ELMDA framework was 0.9229 for the HMDD v2.0 database in a fivefold cross-validation. All potential associations in the HMDD V2.0 database were predicted, and 90% of the top 50 results were verified with the updated HMDD V3.2 database. The ELMDA framework was implemented to investigate gastric neoplasms, prostate neoplasms and colon neoplasms, and 100%, 94%, and 90%, respectively, of the top 50 potential miRNAs were validated by the HMDD V3.2 database. Moreover, the ELMDA framework can predict isolated disease-related miRNAs. In conclusion, ELMDA appears to be a reliable method to uncover disease-associated miRNAs.
    MeSH term(s) Male ; Humans ; MicroRNAs/genetics ; Genetic Predisposition to Disease ; Algorithms ; Prostatic Neoplasms/genetics ; Colonic Neoplasms/genetics ; Computational Biology/methods
    Chemical Substances MicroRNAs
    Language English
    Publishing date 2023-04-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/s12859-023-05308-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Understanding of COVID-19 from infection-fatality ratio.

    Gu, Xiaoying / Cao, Bin

    Lancet (London, England)

    2022  Volume 399, Issue 10334, Page(s) 1442–1443

    MeSH term(s) COVID-19 ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2022-02-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(22)00281-1
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  5. Article ; Online: Predicting Drug-drug Interaction with Graph Mutual Interaction Attention Mechanism.

    Yan, Xiaoying / Gu, Chi / Feng, Yuehua / Han, Jiaxin

    Methods (San Diego, Calif.)

    2024  Volume 223, Page(s) 16–25

    Abstract: Effective representation of molecules is a crucial step in AI-driven drug design and drug discovery, especially for drug-drug interaction (DDIs) prediction. Previous work usually models the drug information from the drug-related knowledge graph or the ... ...

    Abstract Effective representation of molecules is a crucial step in AI-driven drug design and drug discovery, especially for drug-drug interaction (DDIs) prediction. Previous work usually models the drug information from the drug-related knowledge graph or the single drug molecules, but the interaction information between molecular substructures of drug pair is seldom considered, thus often ignoring the influence of bond information on atom node representation, leading to insufficient drug representation. Moreover, key molecular substructures have significant contribution to the DDIs prediction results. Therefore, in this work, we propose a novel Graph learning framework of Mutual Interaction Attention mechanism (called GMIA) to predict DDIs by effectively representing the drug molecules. Specifically, we build the node-edge message communication encoder to aggregate atom node and the incoming edge information for atom node representation and design the mutual interaction attention decoder to capture the mutual interaction context between molecular graphs of drug pairs. GMIA can bridge the gap between two encoders for the single drug molecules by attention mechanism. We also design a co-attention matrix to analyze the significance of different-size substructures obtained from the encoder-decoder layer and provide interpretability. In comparison with other recent state-of-the-art methods, our GMIA achieves the best results in terms of area under the precision-recall-curve (AUPR), area under the ROC curve (AUC), and F1 score on two different scale datasets. The case study indicates that our GMIA can detect the key substructure for potential DDIs, demonstrating the enhanced performance and interpretation ability of GMIA.
    MeSH term(s) Area Under Curve ; Drug Design ; Drug Discovery ; Drug Interactions
    Language English
    Publishing date 2024-01-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1066584-5
    ISSN 1095-9130 ; 1046-2023
    ISSN (online) 1095-9130
    ISSN 1046-2023
    DOI 10.1016/j.ymeth.2024.01.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The association of family doctor contract service and patient trust in doctor: evidence from twenty-five village clinics of three counties in rural China.

    Gu, Linni / Wang, Xiaoying / Tian, Donghua

    BMC primary care

    2024  Volume 25, Issue 1, Page(s) 58

    Abstract: Background: China is implementing the family doctor (FD) system to reform the primary healthcare (PHC). The family doctor contract service (FDCS) policy plays a crucial role in this system implementation, aiming to transform the doctor-patient ... ...

    Abstract Background: China is implementing the family doctor (FD) system to reform the primary healthcare (PHC). The family doctor contract service (FDCS) policy plays a crucial role in this system implementation, aiming to transform the doctor-patient relationship and enhance PHC quality. This study aims to investigate the impact of FDCS on the doctor-patient relationship in PHCs using field research methodology.
    Method: The field research methodology was employed to address the research questions. Quantitative methods were utilized for data collection and analysis. A structure questionnaire was used to collect data based on the research questions. Our investigation encompassed twenty-five village clinics across three counties in China. A total of 574 subjects helped us to finish this investigation in the study. The collected data was analyzed using statistical analysis including ordinary least squares (OLS) model and propensity scores matching model (PSM) to estimate the relationship.
    Result: The findings from ordinary least squares (OLS) regression revealed that FDCS had a positive influence on patient trust in doctors within PHCs, with patients who participated the FDCS exhibiting higher levels of trust compared to those who did not participate. Propensity score matching (PSM) analysis further confirmed these results by accounting for selection bias.
    Conclusions: The implementation of family doctor contract service has brought about significant transformation in the doctor-patient relationship within rural Chinese PHCs. In essence, it has revolutionized the service model of doctor in PHC, playing a pivotal role in improving primary health quality and enhance the service capability of doctors in PHC. This transformative process has been crucial for carrying out hierarchical diagnosis and treatment policy, which aims to adjust the medical service structure and optimizing the health service system. Therefore, it is imperative for government authorities and health administration departments to ensure continuous support for this essential service through appropriate formulation.
    MeSH term(s) Humans ; Physician-Patient Relations ; Trust ; Physicians, Family ; Contract Services ; China/epidemiology
    Language English
    Publishing date 2024-02-15
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2731-4553
    ISSN (online) 2731-4553
    DOI 10.1186/s12875-024-02298-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: In-hospital complications associated with COVID-19.

    Gu, Xiaoying / Cao, Bin

    Lancet (London, England)

    2021  Volume 398, Issue 10296, Page(s) 188–190

    MeSH term(s) COVID-19 ; Hospitalization ; Hospitals ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2021-07-17
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(21)00983-1
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  8. Article ; Online: Operative treatment of pulmonary primitive neuroectodermal tumor: a case report and literature review.

    Zhang, Yiyuan / Shang, Ke / Li, Jialin / Sun, Mengyao / Gu, Xiaoying

    Journal of cardiothoracic surgery

    2024  Volume 19, Issue 1, Page(s) 109

    Abstract: Background: Pulmonary primitive neuroectodermal tumor (PNET), a member of the Ewing sarcoma family of tumors, is a rare malignancy that is associated with a grim prognosis. To date, fewer than 30 cases of pulmonary PNET have been reported. In this case ... ...

    Abstract Background: Pulmonary primitive neuroectodermal tumor (PNET), a member of the Ewing sarcoma family of tumors, is a rare malignancy that is associated with a grim prognosis. To date, fewer than 30 cases of pulmonary PNET have been reported. In this case report, we present the clinical details of a 12-year-old girl with pulmonary PNET who underwent surgical treatment. We also conducted an analysis and summary of other relevant studies and the surgical outcomes.
    Case presentation: In May 2018, a 12-year-old girl was admitted with symptoms of cough and blood-tinged phlegm. A computed tomography scan revealed a large mass, measuring 12.9 cm × 8.1 cm, in the right middle and lower lungs. A percutaneous lung biopsy confirmed poorly differentiated tumor cells with a nested growth pattern. Immunohistochemical staining demonstrated positive expression of CD99, CD56, Vimentin, and Synaptophysin. The patient was diagnosed with pulmonary PNET. Following three cycles of neoadjuvant chemotherapy, a substantial reduction in tumor volume was observed. Subsequently, the patient underwent a surgical procedure involving pneumonectomy and partial resection of the left atrium with the assistance of cardiopulmonary bypass. The patient was discharged 37 days after surgery. During a three-year follow-up period, she exhibited no signs of tumor recurrence and has successfully returned to school.
    Conclusions: This case highlights the successful management of an advanced PNET with neoadjuvant chemotherapy, pneumonectomy, and partial resection of the left atrium employing cardiopulmonary bypass. The patient remained disease-free after three years. Our analysis of surgically treated cases indicates that neoadjuvant chemotherapy can contribute to improved prognoses for PNET patients. It is crucial to emphasize that complete surgical excision remains the cornerstone of treatment, underscoring the importance of surgeons considering radical surgical approaches whenever feasible for patients with pulmonary PNETs.
    MeSH term(s) Female ; Humans ; Child ; Neoplasm Recurrence, Local ; Pneumonectomy ; Neoadjuvant Therapy ; Lung ; Neuroectodermal Tumors, Primitive/diagnosis ; Neuroectodermal Tumors, Primitive/surgery
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Review ; Case Reports ; Journal Article
    ZDB-ID 2227224-0
    ISSN 1749-8090 ; 1749-8090
    ISSN (online) 1749-8090
    ISSN 1749-8090
    DOI 10.1186/s13019-024-02563-8
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  9. Article ; Online: A glimpse into long COVID and symptoms - Authors' reply.

    Huang, Lixue / Gu, Xiaoying / Zhang, Hui / Cao, Bin

    The Lancet. Respiratory medicine

    2022  Volume 10, Issue 9, Page(s) e82

    MeSH term(s) COVID-19/complications ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2022-06-10
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2686754-0
    ISSN 2213-2619 ; 2213-2600
    ISSN (online) 2213-2619
    ISSN 2213-2600
    DOI 10.1016/S2213-2600(22)00212-0
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  10. Article ; Online: Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

    Wendi Chen / Jiaxing Gu / Shouzhen Zeng / Xiaoying Xie

    Sustainability, Vol 15, Iss 6021, p

    2023  Volume 6021

    Abstract: Landfills are an effective way to dispose of waste and appropriate landfill sites can lessen environmental damage during waste treatment. Solid waste landfill site (SWLS) selection has received much attention in the area of multi-criteria decision-making ...

    Abstract Landfills are an effective way to dispose of waste and appropriate landfill sites can lessen environmental damage during waste treatment. Solid waste landfill site (SWLS) selection has received much attention in the area of multi-criteria decision-making in recent years. However, the uncertainty and complexity of the SWLS selection make it a significant challenge for decision makers (DMs). Since single-valued neutrosophic (SVN) sets have the great advantage of handling complex problems with uncertain and inconsistent information, this paper aims at offering a site planning strategy under the SVN environment. For the SWLS selection problem with interrelated factors, the Schweizer–Sklar power Bonferroni mean operator is first created, which not only considers the possible correlations among attributes but also reduces the adverse effects of anomalous assessment information on decision results. Then, a multi-criteria analysis framework based on the aggregation operator is proposed and then applied to a real-world SWLS selection. DMs can flexibly adjust the parameters in this model to achieve a preferred SWLS that integrates economic, environmental, and social perspectives. The consistent results obtained from the comparative analysis highlight its benefits for selecting proper SWLSs.
    Keywords landfill site selection ; Schweizer–Sklar operations ; power Bonferroni mean operator ; SVN sets ; multi-criteria analysis ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 690
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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