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  1. Article ; Online: An in-depth exploration of new clinical and prognostic characteristics of decompensated liver cirrhosis patterns.

    Ning, Zhongxing

    Journal of hepatology

    2024  

    Language English
    Publishing date 2024-01-31
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 605953-3
    ISSN 1600-0641 ; 0168-8278
    ISSN (online) 1600-0641
    ISSN 0168-8278
    DOI 10.1016/j.jhep.2024.01.027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Practical effect of different teaching modes in teaching gastrointestinal surgery nursing.

    Rong, Xiao-Juan / Ning, Zhen

    World journal of gastrointestinal surgery

    2024  Volume 16, Issue 1, Page(s) 166–172

    Abstract: Background: With the continuous development and progress of medical technology, the position of surgical nursing in the field of clinical medicine is becoming increasingly prominent. As an important branch of the surgical field, the nursing requirements ...

    Abstract Background: With the continuous development and progress of medical technology, the position of surgical nursing in the field of clinical medicine is becoming increasingly prominent. As an important branch of the surgical field, the nursing requirements and difficulty of gastrointestinal surgery are also increasing. In order to improve the teaching quality of nursing care in gastrointestinal surgery, many educators and researchers are actively exploring new teaching methods. Among them, the teaching method case-based learning (CBL), scene-simulated learning (SSL), task-based learning (TBL), combining self-evaluation and training mode is considered as an effective method. This method aims to help students to better master knowledge and skills and improve their comprehensive quality by cultivating their self-evaluation ability.
    Aim: To explore the practical effect of CBL-SSL-TBL combined with training mode and student self-assessment in nursing teaching of gastrointestinal surgery.
    Methods: Seventy-one nursing interns in our hospital from December 2020 to December 2021 were selected. According to different teaching modes, they were divided into observation group CBL-SSL-TBL combined with training mode combined with student self-assessment and control group (conventional teaching mode), of which 36 were in observation group and 35 were in control group. The results of operational skills, theoretical knowledge, nursing students' satisfaction, learning effectiveness questionnaire and teaching effect were compared between the two groups.
    Results: Compared between the two groups, the operational skills and theoretical knowledge scores of the observation group were higher than those of the control group, and the difference was statistically significant (
    Conclusion: The use of CBL-SSL-TBL combined with training mode and student self-assessment in gastrointestinal surgery nursing teaching can improve the operational skills of nursing interns, theoretical knowledge and satisfaction scores of nursing students, improve the results of learning efficiency questionnaire and teaching effect, which can be popularized in clinical teaching.
    Language English
    Publishing date 2024-02-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2573700-4
    ISSN 1948-9366
    ISSN 1948-9366
    DOI 10.4240/wjgs.v16.i1.166
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Neonatal Kabuki syndrome caused by KMT2D mutation: A case report.

    Li, Zhang / Ning, Zou

    Medicine

    2023  Volume 102, Issue 50, Page(s) e36681

    Abstract: Background: Kabuki syndrome (KS) is an autosomal dominant inherited syndrome that involves multiple organs and systems. Gene mutation is the main cause of KS. The reported mutations in X-linked histone H3 lysine 4 methylase (KMT2D) and KDM6A genes are 2 ...

    Abstract Background: Kabuki syndrome (KS) is an autosomal dominant inherited syndrome that involves multiple organs and systems. Gene mutation is the main cause of KS. The reported mutations in X-linked histone H3 lysine 4 methylase (KMT2D) and KDM6A genes are 2 relatively clear pathogenic pathways. In this paper, we report a case of KS with neonatal hypoglycemia and special features caused by KMT2D gene mutation confirmed by whole exome sequencing, it enriched the clinical phenotype spectrum and gene mutation spectrum of KS, which helps to improve the understanding of the disease.
    Case report: Through whole exome sequencing, we performed gene diagnosis of a newborn child with special facial features and multiple malformations, which revealed heterozygous mutation of NM_003482.3:c.755dupA(p.His252Glnfs*21) in KMT2D gene. It is consistent with the pathogenesis of KS, an autosomal dominat genetic disease caused by KMT2D gene mutation. This pathogenic mutation has not been prebiously reported.
    Discussion: KS has strong clinical characteristics and biological heterogeneity. Genetic diagnosis can help identify mutant gene types. However, the relationship between genotype and phenotype has not been fully clarified. The molecular etiological mechanism still needs to be further explored and elucidated.
    MeSH term(s) Infant, Newborn ; Humans ; Abnormalities, Multiple/diagnosis ; Abnormalities, Multiple/genetics ; Mutation ; Hematologic Diseases/genetics ; Vestibular Diseases/diagnosis ; Vestibular Diseases/genetics ; Phenotype
    Language English
    Publishing date 2023-12-19
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000036681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Can spatially resolved metabolomics uncover weak points in tumors?

    Ning, Zhen / Xu, Guowang

    Expert review of proteomics

    2023  Volume 19, Issue 4-6, Page(s) 227–230

    MeSH term(s) Humans ; Metabolomics ; Neoplasms
    Language English
    Publishing date 2023-02-06
    Publishing country England
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2299100-1
    ISSN 1744-8387 ; 1478-9450
    ISSN (online) 1744-8387
    ISSN 1478-9450
    DOI 10.1080/14789450.2023.2176754
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Microchannel Gas Flow in the Multi-Flow Regime Based on the Lattice Boltzmann Method.

    Li, Xiaoyu / Ning, Zhi / Lü, Ming

    Entropy (Basel, Switzerland)

    2024  Volume 26, Issue 1

    Abstract: In this work, a lattice Boltzmann method (LBM) for studying microchannel gas flow is developed in the multi-flow regime. In the LBM, by comparing previous studies' results on effective viscosity in multi-flow regimes, the values of the rarefaction factor ...

    Abstract In this work, a lattice Boltzmann method (LBM) for studying microchannel gas flow is developed in the multi-flow regime. In the LBM, by comparing previous studies' results on effective viscosity in multi-flow regimes, the values of the rarefaction factor applicable to multi-flow regions were determined, and the relationship between relaxation time and
    Language English
    Publishing date 2024-01-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26010084
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Metagenomic analysis revealed highly diverse carbon fixation microorganisms in a petroleum-hydrocarbon-contaminated aquifer.

    Ning, Zhuo / Cai, Pingping / Zhang, Min

    Environmental research

    2024  Volume 247, Page(s) 118289

    Abstract: As one of the ultimate products of hydrocarbon biodegradation, inorganic carbon always be used to evaluate hydrocarbon biodegradation rates in petroleum-hydrocarbon-contaminated (PHC) aquifers. The evaluation method was challenged because of the ... ...

    Abstract As one of the ultimate products of hydrocarbon biodegradation, inorganic carbon always be used to evaluate hydrocarbon biodegradation rates in petroleum-hydrocarbon-contaminated (PHC) aquifers. The evaluation method was challenged because of the existence of carbon fixation microorganisms, which may uptake inorganic carbons and consequently cause the biodegradation rates to be underestimated. We wonder if there are carbon fixation microorganisms in PHC aquifers. Although an extremely limited number of carbon fixation microorganisms in PHC sites have been studied in previous studies, the vast majority of microorganisms that participate in carbon fixation have not been systematically identified. To systematically reveal carbon fixation microorganisms and their survival environmental conditions, high-throughput metagenomic sequencing technologies, which are characterized by culture-independent, unbiased, and comprehensive methods for the detection and taxonomic characterization of microorganisms, were introduced to analyze the groundwater samples collected from a PHC aquifer. Results showed that 1041 genera were annotated as carbon fixation microorganisms, which accounted for 49% of the total number of genera in the PHC aquifer. Carbon fixation genes involved in Calvin-Benson-Bassham (CBB), 3-hydroxy propionate (3HP), reductive tricarboxylic acid (rTCA), and Wood-Ljungdahl (WL) cycles accounted for 2%, 41%, 34%, and 23% of the total carbon fixation genes, respectively, and 3HP, rTCA, and WL can be deemed as the dominant carbon fixation pathways. Most of the identified carbon fixation microorganisms are potential hydrocarbon biodegraders, and the most abundant carbon fixation microorganisms, such as Microbacterium, Novosphingobium, and Reyranella, were just the most abundant microorganisms in the aquifer system. It's deduced that most of the microorganisms in the aquifer were facultative autotrophic, and undertaking the dual responsibilities of degrading hydrocarbons to inorganic carbon and uptaking inorganic carbon to biomass.
    MeSH term(s) Petroleum ; Hydrocarbons ; Groundwater ; Carbon ; Carbon Cycle ; Biodegradation, Environmental
    Chemical Substances Petroleum ; Hydrocarbons ; Carbon (7440-44-0)
    Language English
    Publishing date 2024-01-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2024.118289
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  7. Article ; Online: Causal roles of serum uric acid levels and gout in sepsis: a Mendelian randomization study.

    Qin, Yujun / Yang, Xia / Ning, Zong

    Shock (Augusta, Ga.)

    2024  

    Abstract: Objective: Several epidemiological studies have identified a potential link between serum uric acid(UA), gout and sepsis. The primary objective of this study is to delve deeper into this connection, investigating the causal effect of UA and gout on ... ...

    Abstract Objective: Several epidemiological studies have identified a potential link between serum uric acid(UA), gout and sepsis. The primary objective of this study is to delve deeper into this connection, investigating the causal effect of UA and gout on sepsis by applying Mendelian Randomization (MR).
    Methods: The causal relationship was analyzed using data from genome-wide association study(GWAS). Inverse variance weighting (IVW) was used as the main analysis method. Three complementary methods were used for our MR analysis, which included the MR-Egger regression method, the weighted median method, the simple median method. Horizontal pleiotropy was identified by MR-Egger intercept test. Cochran's Q statistics were employed to assess the existence of instrument heterogeneity. The leave-one-out method was used as a sensitivity analysis.
    Results: The IVW results indicated that there was a positive causal relationship between UA and sepsis(critical care) (OR = 0.24, 95%CI: 0.04 to 0.43, P = 0.018, F = 4291.20). There was no significant association between UA and sepsis(28 day death in critical care) (OR = 0.10, 95%CI: -0.29 to 0.50, P = 0.604). There was no significant association between gout and sepsis(critical care) (OR = 0.85, 95%CI: -4.87 to 6.57, P = 0.771), and sepsis(28 day death in critical care) (OR = -6.30, 95%CI: -17.41 to 4.81, P = 0.267). Horizontal pleiotropy was absent in this study. The results were robust under all sensitivity analyses.
    Conclusion: The study revealed that elevated UA levels was causally linked with sepsis(critical care). No causal relationship had been found between UA and sepsis(28 day death in critical care), as well as between gout and sepsis.
    Language English
    Publishing date 2024-03-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1185432-7
    ISSN 1540-0514 ; 1073-2322
    ISSN (online) 1540-0514
    ISSN 1073-2322
    DOI 10.1097/SHK.0000000000002365
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  8. Article ; Online: The Landscape and Perspectives of the Human Gut Metaproteomics.

    Sun, Zhongzhi / Ning, Zhibin / Figeys, Daniel

    Molecular & cellular proteomics : MCP

    2024  , Page(s) 100763

    Abstract: The human gut microbiome is closely associated with human health and diseases. Metaproteomics has emerged as a valuable tool for studying the functionality of the gut microbiome by analyzing the entire proteins present in microbial communities. Recent ... ...

    Abstract The human gut microbiome is closely associated with human health and diseases. Metaproteomics has emerged as a valuable tool for studying the functionality of the gut microbiome by analyzing the entire proteins present in microbial communities. Recent advancements in liquid chromatography and tandem mass spectrometry (LC-MS/MS) techniques have expanded the detection range of metaproteomics. However, the overall coverage of the proteome in metaproteomics is still limited. While metagenomics studies have revealed substantial microbial diversity and functional potential of the human gut microbiome, few studies have summarized and studied the human gut microbiome landscape revealed with metaproteomics. In this paper, we present the current landscape of human gut metaproteomics studies by re-analyzing the identification results from fifteen published studies. We quantified the limited proteome coverage in metaproteomics and revealed a high proportion of annotation coverage of metaproteomics-identified proteins. We conducted a preliminary comparison between the metaproteomics view and the metagenomics view of the human gut microbiome, identifying key areas of consistency and divergence. Based on the current landscape of human gut metaproteomics, we discuss the feasibility of using metaproteomics to study functionally unknown proteins and propose a whole workflow peptide-centric analysis. Additionally, we suggest enhancing metaproteomics analysis by refining taxonomic classification and calculating confidence scores, as well as developing tools for analyzing the interaction between taxonomy and function.
    Language English
    Publishing date 2024-04-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2075924-1
    ISSN 1535-9484 ; 1535-9476
    ISSN (online) 1535-9484
    ISSN 1535-9476
    DOI 10.1016/j.mcpro.2024.100763
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  9. Article ; Online: To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers.

    Ning, Zhihan / Jiang, Zhixing / Zhang, David

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: Real-world datasets are often imbalanced, posing frequent challenges to canonical machine learning algorithms that assume a balanced class distribution. Moreover, the imbalance problem becomes more complicated when the dataset is multiclass. Although ... ...

    Abstract Real-world datasets are often imbalanced, posing frequent challenges to canonical machine learning algorithms that assume a balanced class distribution. Moreover, the imbalance problem becomes more complicated when the dataset is multiclass. Although many approaches have been presented for imbalanced learning (IL), research on the multiclass imbalanced problem is relatively limited and deficient. To alleviate these issues, we propose a forest of evolutionary hierarchical classifiers (FEHC) method for multiclass IL (MCIL). FEHC can be seen as a classifier fusion framework with a forest structure, and it aggregates several evolutionary hierarchical multiclassifiers (EHMCs) to reduce generalization error. Specifically, a multichromosome genetic algorithm (MCGA) is designed to simultaneously select (sub)optimal features, classifiers, and hierarchical structures when generating these EHMCs. The MCGA adopts a dynamic weighting module to learn difficult classes and promote the diversity of FEHC. We also present the "stratified underbagging" (SUB) strategy to address class imbalance and the "soft tree traversal" (STT) strategy to make FEHC converge faster and better. We thoroughly evaluate the proposed algorithm using 14 multiclass imbalanced datasets with various properties. Compared with popular and state-of-the-art approaches, FEHC obtains better performance under different evaluation metrics. Codes have been made publicly available on GitHub.https://github.com/CUHKSZ-NING/FEHCClassifier.
    Language English
    Publishing date 2024-04-08
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3383672
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: [Cancer metabolism: a novel perspective on precision diagnosis and treatment for liver cancer].

    Ning, Z / Tan, G

    Zhonghua wai ke za zhi [Chinese journal of surgery

    2020  Volume 58, Issue 1, Page(s) 31–36

    Abstract: Metabolic reprogramming has been identified as a hallmark of cancer. Liver is an essential hub in the body for the metabolism of three major nutrients including glucose, lipids and amino acids. Hepatocellular carcinoma(HCC) usually presents a variety of ... ...

    Abstract Metabolic reprogramming has been identified as a hallmark of cancer. Liver is an essential hub in the body for the metabolism of three major nutrients including glucose, lipids and amino acids. Hepatocellular carcinoma(HCC) usually presents a variety of changes in characteristic metabolism, such as increased aerobic glycolysis, enhanced de novo lipid synthesis, glutamine depletion, and oxidative metabolism imbalance, which can provide energy and bio-macromolecular raw materials for rapidly growing and proliferating tumor cells. The process of tumor metabolic reprogramming is regulated by multiple factors, such as alterations in metabolic enzyme activity, abnormal gene expression, and signaling pathway disturbance. Advances in high-throughout metabolomics technology have provided a powerful platform for discovering the novel biomarkers and metabolic targets of HCC. Therefore, in-depth study of the metabolic characteristics and regulatory mechanisms of HCC is critical for the development of novel antimetabolites.
    MeSH term(s) Carcinoma, Hepatocellular/diagnosis ; Carcinoma, Hepatocellular/metabolism ; Carcinoma, Hepatocellular/therapy ; Glycolysis ; Humans ; Liver Neoplasms/diagnosis ; Liver Neoplasms/metabolism ; Liver Neoplasms/therapy ; Metabolomics ; Precision Medicine
    Language Chinese
    Publishing date 2020-01-04
    Publishing country China
    Document type Journal Article
    ZDB-ID 604573-x
    ISSN 0529-5815
    ISSN 0529-5815
    DOI 10.3760/cma.j.issn.0529-5815.2020.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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