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  1. Article: Time to rebuild the doctor-patient relationship in China.

    Wang, Yuxin / Du, Shunda

    Hepatobiliary surgery and nutrition

    2023  Volume 12, Issue 2, Page(s) 235–238

    Language English
    Publishing date 2023-03-27
    Publishing country China (Republic : 1949- )
    Document type Editorial
    ZDB-ID 2812398-0
    ISSN 2304-389X ; 2304-3881
    ISSN (online) 2304-389X
    ISSN 2304-3881
    DOI 10.21037/hbsn-23-104
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Intrahepatic portal vein variant: a single dilated intrahepatic portal vein coursing to the umbilical fissure without second-order branches.

    Wang, Yuxin / Du, Shunda

    Hepatobiliary surgery and nutrition

    2022  Volume 11, Issue 6, Page(s) 938–941

    Language English
    Publishing date 2022-12-13
    Publishing country China (Republic : 1949- )
    Document type Journal Article
    ZDB-ID 2812398-0
    ISSN 2304-389X ; 2304-3881
    ISSN (online) 2304-389X
    ISSN 2304-3881
    DOI 10.21037/hbsn-22-516
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Comment: "Impact of time-to-surgery on outcomes of patients undergoing curative-intent liver resection for BCLC-0, A and B hepatocellular carcinoma".

    Wang, Yuxin / Du, Shunda

    Journal of surgical oncology

    2022  Volume 126, Issue 6, Page(s) 1137–1138

    MeSH term(s) Carcinoma, Hepatocellular/pathology ; Carcinoma, Hepatocellular/surgery ; Hepatectomy ; Humans ; Liver Neoplasms/pathology ; Liver Neoplasms/surgery ; Neoplasm Staging ; Retrospective Studies
    Language English
    Publishing date 2022-07-25
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 82063-5
    ISSN 1096-9098 ; 0022-4790
    ISSN (online) 1096-9098
    ISSN 0022-4790
    DOI 10.1002/jso.27000
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Adduct-Type Compounds for Nonlinear Optical Crystals.

    Wang, Chao / Yang, Shunda / Luo, Min

    ChemPlusChem

    2023  Volume 88, Issue 11, Page(s) e202300471

    Abstract: The performance prerequisites for nonlinear optical (NLO) crystals encompass a substantial second-harmonic generation (SHG), a considerable laser induced damage threshold, and a moderate degree of birefringence. Nevertheless, the presence of particular ... ...

    Abstract The performance prerequisites for nonlinear optical (NLO) crystals encompass a substantial second-harmonic generation (SHG), a considerable laser induced damage threshold, and a moderate degree of birefringence. Nevertheless, the presence of particular anions may result in deficiencies within certain properties. The utilization of mixed anionic groups has emerged as an effective strategy to achieve a balance among numerous performance parameters of NLO crystals, particularly in terms of SHG responses and bandgaps. Compared with other heteroanionic compounds, adduct-type compounds feature more concise structures with specific properties. Herein, we aim to provide an overview of the recent advancements in adduct-type NLO crystals, focusing on their structures and properties. Furthermore, we analyze the coordination chemistry and disadvantages involved in adducts, and discuss the current synthesis methods as well as future directions for further exploration.
    Language English
    Publishing date 2023-10-18
    Publishing country Germany
    Document type Journal Article
    ISSN 2192-6506
    ISSN (online) 2192-6506
    DOI 10.1002/cplu.202300471
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Advances and Challenges in CRISPR/Cas-Based Fungal Genome Engineering for Secondary Metabolite Production

    Duoduo Wang / Shunda Jin / Qianhui Lu / Yupeng Chen

    Journal of Fungi, Vol 9, Iss 362, p

    A Review

    2023  Volume 362

    Abstract: Fungi represent an important source of bioactive secondary metabolites (SMs), which have wide applications in many fields, including medicine, agriculture, human health, and many other industries. The genes involved in SM biosynthesis are usually ... ...

    Abstract Fungi represent an important source of bioactive secondary metabolites (SMs), which have wide applications in many fields, including medicine, agriculture, human health, and many other industries. The genes involved in SM biosynthesis are usually clustered adjacent to each other into a region known as a biosynthetic gene cluster (BGC). The recent advent of a diversity of genetic and genomic technologies has facilitated the identification of many cryptic or uncharacterized BGCs and their associated SMs. However, there are still many challenges that hamper the broader exploration of industrially important secondary metabolites. The recent advanced CRISPR/Cas system has revolutionized fungal genetic engineering and enabled the discovery of novel bioactive compounds. In this review, we firstly introduce fungal BGCs and their relationships with associated SMs, followed by a brief summary of the conventional strategies for fungal genetic engineering. Next, we introduce a range of state-of-the-art CRISPR/Cas-based tools that have been developed and review recent applications of these methods in fungi for research on the biosynthesis of SMs. Finally, the challenges and limitations of these CRISPR/Cas-based systems are discussed and directions for future research are proposed in order to expand their applications and improve efficiency for fungal genetic engineering.
    Keywords CRISPR/Cas ; genetic engineering ; fungi ; biosynthetic gene clusters ; secondary metabolites ; Biology (General) ; QH301-705.5
    Subject code 006
    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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  6. Article ; Online: Advances and Challenges in CRISPR/Cas-Based Fungal Genome Engineering for Secondary Metabolite Production: A Review.

    Wang, Duoduo / Jin, Shunda / Lu, Qianhui / Chen, Yupeng

    Journal of fungi (Basel, Switzerland)

    2023  Volume 9, Issue 3

    Abstract: Fungi represent an important source of bioactive secondary metabolites (SMs), which have wide applications in many fields, including medicine, agriculture, human health, and many other industries. The genes involved in SM biosynthesis are usually ... ...

    Abstract Fungi represent an important source of bioactive secondary metabolites (SMs), which have wide applications in many fields, including medicine, agriculture, human health, and many other industries. The genes involved in SM biosynthesis are usually clustered adjacent to each other into a region known as a biosynthetic gene cluster (BGC). The recent advent of a diversity of genetic and genomic technologies has facilitated the identification of many cryptic or uncharacterized BGCs and their associated SMs. However, there are still many challenges that hamper the broader exploration of industrially important secondary metabolites. The recent advanced CRISPR/Cas system has revolutionized fungal genetic engineering and enabled the discovery of novel bioactive compounds. In this review, we firstly introduce fungal BGCs and their relationships with associated SMs, followed by a brief summary of the conventional strategies for fungal genetic engineering. Next, we introduce a range of state-of-the-art CRISPR/Cas-based tools that have been developed and review recent applications of these methods in fungi for research on the biosynthesis of SMs. Finally, the challenges and limitations of these CRISPR/Cas-based systems are discussed and directions for future research are proposed in order to expand their applications and improve efficiency for fungal genetic engineering.
    Language English
    Publishing date 2023-03-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2784229-0
    ISSN 2309-608X ; 2309-608X
    ISSN (online) 2309-608X
    ISSN 2309-608X
    DOI 10.3390/jof9030362
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Integrated analysis revealing a novel stemness-metabolism-related gene signature for predicting prognosis and immunotherapy response in hepatocellular carcinoma.

    Wang, Yuxin / Wan, Xueshuai / Du, Shunda

    Frontiers in immunology

    2023  Volume 14, Page(s) 1100100

    Abstract: Hepatocellular carcinoma (HCC) is a malignant lethal tumor and both cancer stem cells (CSCs) and metabolism reprogramming have been proven to play indispensable roles in HCC. This study aimed to reveal the connection between metabolism reprogramming and ... ...

    Abstract Hepatocellular carcinoma (HCC) is a malignant lethal tumor and both cancer stem cells (CSCs) and metabolism reprogramming have been proven to play indispensable roles in HCC. This study aimed to reveal the connection between metabolism reprogramming and the stemness characteristics of HCC, established a new gene signature related to stemness and metabolism and utilized it to assess HCC prognosis and immunotherapy response. The clinical information and gene expression profiles (GEPs) of 478 HCC patients came from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA). The one-class logistic regression (OCLR) algorithm was employed to calculate the messenger ribonucleic acid expression-based stemness index (mRNAsi), a new stemness index quantifying stemness features. Differentially expressed analyses were done between high- and low-mRNAsi groups and 74 differentially expressed metabolism-related genes (DEMRGs) were identified with the help of metabolism-related gene sets from Molecular Signatures Database (MSigDB). After integrated analysis, a risk score model based on the three most efficient prognostic DEMRGs, including Recombinant Phosphofructokinase Platelet (PFKP), phosphodiesterase 2A (PDE2A) and UDP-glucuronosyltransferase 1A5 (UGT1A5) was constructed and HCC patients were divided into high-risk and low-risk groups. Significant differences were found in pathway enrichment, immune cell infiltration patterns, and gene alterations between the two groups. High-risk group patients tended to have worse clinical outcomes and were more likely to respond to immunotherapy. A stemness-metabolism-related model composed of gender, age, the risk score model and tumor-node-metastasis (TNM) staging was generated and showed great discrimination and strong ability in predicting HCC prognosis and immunotherapy response.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/genetics ; Carcinoma, Hepatocellular/therapy ; Liver Neoplasms/genetics ; Liver Neoplasms/therapy ; Prognosis ; Algorithms ; Immunotherapy
    Language English
    Publishing date 2023-08-09
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1100100
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Status and situation of postgraduate medical students in China under the influence of COVID-19.

    Wang, Shunda / Dai, Menghua

    Postgraduate medical journal

    2020  Volume 96, Issue 1142, Page(s) 728–730

    MeSH term(s) COVID-19 ; China ; Education, Distance ; Education, Medical, Graduate ; Humans ; Self-Directed Learning as Topic ; Students, Medical
    Keywords covid19
    Language English
    Publishing date 2020-05-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 80325-x
    ISSN 1469-0756 ; 0032-5473
    ISSN (online) 1469-0756
    ISSN 0032-5473
    DOI 10.1136/postgradmedj-2020-137763
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Effect of miR-499-5p/SOX6 axis on atrial fibrosis in rats with atrial fibrillation

    Han Xinyuan / Wang Shunda / Yong Zhijun / Zhang Xueting / Wang Xuanqi / You Penghua

    Open Medicine, Vol 18, Iss 1, Pp 1123-

    2023  Volume 31

    Keywords atrial fibrillation ; atrial fibrosis ; mir-499-5p ; sox6 ; p21 ; cell senescence ; apoptosis ; microrna ; Medicine ; R
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher De Gruyter
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials.

    Fan, Zheyong / Xiao, Yang / Wang, Yanzhou / Ying, Penghua / Chen, Shunda / Dong, Haikuan

    Journal of physics. Condensed matter : an Institute of Physics journal

    2024  Volume 36, Issue 24

    Abstract: We propose an efficient approach for simultaneous prediction of thermal and electronic transport properties in complex materials. Firstly, a highly efficient machine-learned neuroevolution potential (NEP) is trained using reference data from quantum- ... ...

    Abstract We propose an efficient approach for simultaneous prediction of thermal and electronic transport properties in complex materials. Firstly, a highly efficient machine-learned neuroevolution potential (NEP) is trained using reference data from quantum-mechanical density-functional theory calculations. This trained potential is then applied in large-scale molecular dynamics simulations, enabling the generation of realistic structures and accurate characterization of thermal transport properties. In addition, molecular dynamics simulations of atoms and linear-scaling quantum transport calculations of electrons are coupled to account for the electron-phonon scattering and other disorders that affect the charge carriers governing the electronic transport properties. We demonstrate the usefulness of this unified approach by studying electronic transport in pristine graphene and thermoelectric transport properties of a graphene antidot lattice, with a general-purpose NEP developed for carbon systems based on an extensive dataset.
    Language English
    Publishing date 2024-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472968-4
    ISSN 1361-648X ; 0953-8984
    ISSN (online) 1361-648X
    ISSN 0953-8984
    DOI 10.1088/1361-648X/ad31c2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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