LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 249

Search options

  1. Article ; Online: Unveiling NUSAP1 as a common gene signature linking chronic HBV infection and HBV-related HCC.

    Meng, Jiao / Yang, Zhenkun / Jiang, Xinyi / Zou, Jian

    Discover. Oncology

    2024  Volume 15, Issue 1, Page(s) 61

    Abstract: Background: Hepatitis B virus (HBV) is a significant contributor to the development of hepatocellular carcinoma (HCC). Chronic HBV infection (CHB) facilitates disease progression through various mechanisms. However, the specific factor responsible for ... ...

    Abstract Background: Hepatitis B virus (HBV) is a significant contributor to the development of hepatocellular carcinoma (HCC). Chronic HBV infection (CHB) facilitates disease progression through various mechanisms. However, the specific factor responsible for the progression of HBV infection to HCC remains unresolved. This study aims to identify the hub gene linking CHB and HBV-related HCC through bioinformatic analysis and experimental verification.
    Methods: Differentially expressed genes (DEGs) were identified in datasets encompassing CHB and HBV-HCC patients from the GEO database. Enriched pathways were derived from GO and KEGG analysis. Hub genes were screened by protein-protein interaction (PPI) analysis and different modules in Cytoscape software. The significance of the selected hub gene in prognosis was further assessed in validated datasets. The effects of hub genes on cell growth and apoptosis were further determined in functional experiments.
    Results: The study revealed upregulation of NUSAP1 in CHBs and HBV-HCCs. High expression of NUSAP1 served as an independent predictor for poor prognosis of liver cancers. Functional experiments demonstrated that NUSAP1 promotes cell growth, influences cell cycle process, and protects cells from apoptosis in HepG2.2.15 cells.
    Conclusion: NUSAP1 serves as a poor prognostic indicator for liver cancers, and potentially plays a crucial role in HBV-HCC progression by promoting proliferation and inhibiting apoptosis.
    Language English
    Publishing date 2024-03-05
    Publishing country United States
    Document type Journal Article
    ISSN 2730-6011
    ISSN (online) 2730-6011
    DOI 10.1007/s12672-024-00922-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Trends in Out-of-Pocket Costs for and Characteristics of Pharmacy-Dispensed Naloxone by Payer Type.

    Jiang, Xinyi / Strahan, Andrea E / Zhang, Kun / Guy, Gery P

    JAMA

    2024  Volume 331, Issue 8, Page(s) 700–702

    MeSH term(s) Humans ; Costs and Cost Analysis ; Drug Overdose/drug therapy ; Drug Overdose/economics ; Health Expenditures/trends ; Naloxone/economics ; Naloxone/therapeutic use ; Narcotic Antagonists/economics ; Narcotic Antagonists/therapeutic use ; Opioid-Related Disorders/drug therapy ; Opioid-Related Disorders/economics ; Pharmacies/economics ; Pharmacies/trends ; Pharmacy/trends ; Insurance, Health/economics ; United States
    Chemical Substances Naloxone (36B82AMQ7N) ; Narcotic Antagonists
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2023.26969
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: WSGMB: weight signed graph neural network for microbial biomarker identification.

    Pan, Shuheng / Jiang, Xinyi / Zhang, Kai

    Briefings in bioinformatics

    2023  Volume 25, Issue 1

    Abstract: The stability of the gut microenvironment is inextricably linked to human health, with the onset of many diseases accompanied by dysbiosis of the gut microbiota. It has been reported that there are differences in the microbial community composition ... ...

    Abstract The stability of the gut microenvironment is inextricably linked to human health, with the onset of many diseases accompanied by dysbiosis of the gut microbiota. It has been reported that there are differences in the microbial community composition between patients and healthy individuals, and many microbes are considered potential biomarkers. Accurately identifying these biomarkers can lead to more precise and reliable clinical decision-making. To improve the accuracy of microbial biomarker identification, this study introduces WSGMB, a computational framework that uses the relative abundance of microbial taxa and health status as inputs. This method has two main contributions: (1) viewing the microbial co-occurrence network as a weighted signed graph and applying graph convolutional neural network techniques for graph classification; (2) designing a new architecture to compute the role transitions of each microbial taxon between health and disease networks, thereby identifying disease-related microbial biomarkers. The weighted signed graph neural network enhances the quality of graph embeddings; quantifying the importance of microbes in different co-occurrence networks better identifies those microbes critical to health. Microbes are ranked according to their importance change scores, and when this score exceeds a set threshold, the microbe is considered a biomarker. This framework's identification performance is validated by comparing the biomarkers identified by WSGMB with actual microbial biomarkers associated with specific diseases from public literature databases. The study tests the proposed computational framework using actual microbial community data from colorectal cancer and Crohn's disease samples. It compares it with the most advanced microbial biomarker identification methods. The results show that the WSGMB method outperforms similar approaches in the accuracy of microbial biomarker identification.
    MeSH term(s) Humans ; Neural Networks, Computer ; Microbiota ; Biomarkers ; Gastrointestinal Microbiome ; Crohn Disease
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-12-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbad448
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Colocalization of corneal resistance factor GWAS loci with GTEx e/sQTLs highlights plausible candidate causal genes for keratoconus postnatal corneal stroma weakening.

    Jiang, Xinyi / Boutin, Thibaud / Vitart, Veronique

    Frontiers in genetics

    2023  Volume 14, Page(s) 1171217

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-08-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1171217
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Prognostic value of left ventricular global longitudinal strain on speckle echocardiography for predicting chemotherapy-induced cardiotoxicity in breast cancer patients: A systematic review and meta-analysis.

    Li, Lin / Jiang, Xinyi / Xie, Qianqian

    Echocardiography (Mount Kisco, N.Y.)

    2023  Volume 40, Issue 4, Page(s) 306–317

    Abstract: Background: Literature suggests that left ventricular global longitudinal strain (LV-GLS) on speckle echocardiography has the potential to predict cardiotoxicity amongst breast cancer patients receiving chemotherapy such as anthracycline, taxane, ... ...

    Abstract Background: Literature suggests that left ventricular global longitudinal strain (LV-GLS) on speckle echocardiography has the potential to predict cardiotoxicity amongst breast cancer patients receiving chemotherapy such as anthracycline, taxane, cyclophosphamide, and trastuzumab. Our study aimed to collect evidence for the prognostic value of LV-GLS for predicting chemotherapy-induced cardiotoxicity in breast cancer patients.
    Methods: A detailed search of the PubMed, Google Scholar, Cochrane Library, and Scopus databases was conducted for published articles up to August 31, 2022. In our meta-analysis, we looked at 13 studies with a total of 1007 breast cancer patients getting chemotherapy that looked at the predictive value of GLS.
    Results: Absolute GLS change during treatment showed a pooled sensitivity of 84% (95% CI 74% to 91%) and a pooled specificity of 77% (95% CI 68% to 84%).  For a relative change in GLS, we observed a pooled sensitivity of 76% (95% CI 56% to 89%) and a pooled specificity of 83% (95% CI 73% to 90%).  For an absolute change in GLS, we observed a positive likelihood ratio (LR), and the negative LR was 4 and .21. Summary receiver operating characteristics curve with prediction and confidence intervals represents a promising summary area under the curve (sAUC) of .88, 95% CI ranges from .85 to .91 for absolute change in GLS, as well as for relative change (sAUC, .87, 95% CI .84 to .90).
    Conclusion: Our results demonstrated an estimation of LV-GLS after the beginning of required chemotherapy, including anthracyclines and trastuzumab, had a promising prognostic value for predicting the likelihood of cancer therapeutics-related cardiac dysfunction. To confirm our findings, well-designed prospective adequately powered diagnostic randomised trials are necessary.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/drug therapy ; Cardiotoxicity/diagnostic imaging ; Cardiotoxicity/etiology ; Prognosis ; Prospective Studies ; Global Longitudinal Strain ; Ventricular Dysfunction, Left/chemically induced ; Ventricular Dysfunction, Left/diagnostic imaging ; Echocardiography/methods ; Trastuzumab/adverse effects ; Antibiotics, Antineoplastic/adverse effects ; Ventricular Function, Left ; Stroke Volume
    Chemical Substances Trastuzumab (P188ANX8CK) ; Antibiotics, Antineoplastic
    Language English
    Publishing date 2023-03-01
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Review
    ZDB-ID 843645-9
    ISSN 1540-8175 ; 0742-2822
    ISSN (online) 1540-8175
    ISSN 0742-2822
    DOI 10.1111/echo.15548
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: [Influence of coronavirus disease 2019 on the nervous system of children].

    Jiang, Xin-Yi / Zhou, Wen-Hao

    Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

    2021  Volume 23, Issue 5, Page(s) 530–535

    Abstract: Coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and can occur at any age, including children. Children with COVID-19 can develop the clinical symptoms of multiple systems, among which symptoms of the nervous system have been reported ... ...

    Abstract Coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and can occur at any age, including children. Children with COVID-19 can develop the clinical symptoms of multiple systems, among which symptoms of the nervous system have been reported increasingly, and thus it is particularly important to understand COVID-19-associated neurological damage in children. This article reviews the mechanisms and types of COVID-19-associated neurological damage in children.
    MeSH term(s) COVID-19 ; Child ; Humans ; Nervous System Diseases ; Pandemics ; SARS-CoV-2
    Language Chinese
    Publishing date 2021-05-14
    Publishing country China
    Document type Journal Article ; Review
    ISSN 1008-8830
    ISSN 1008-8830
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Urine Self-Sampling Kit Combined with an Automated Preparation-Sampler Device for Convenient and Reliable Analysis of Arsenic Metabolites by HPLC-ICPMS.

    Zhang, Xiao / Jiang, Xin-Yi / Zhao, Lin / Chen, Shuai / Yu, Yong-Liang / Wang, Jian-Hua

    Analytical chemistry

    2024  Volume 96, Issue 4, Page(s) 1742–1749

    Abstract: Speciation analysis of arsenic in urine is essential for the studies of arsenic metabolism and biological effects, but the unstable arsenic species represented by ... ...

    Abstract Speciation analysis of arsenic in urine is essential for the studies of arsenic metabolism and biological effects, but the unstable arsenic species represented by MMA
    MeSH term(s) Arsenic/analysis ; Arsenicals/analysis ; Chromatography, High Pressure Liquid/methods ; Mass Spectrometry/methods ; Organometallic Compounds
    Chemical Substances Arsenic (N712M78A8G) ; monomethylarsonous acid ; Arsenicals ; Organometallic Compounds
    Language English
    Publishing date 2024-01-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.3c04881
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Dynamic Stomach Model-Capillary Electrophoresis-ICPMS for Evaluation of Release and Transformation Behaviors of Arsenic Species from Microplastics during Digestion.

    Zhang, Xiao / Jiang, Xin-Yi / Cai, Ji-Ying / Chen, Shuai / Yu, Yong-Liang / Wang, Jian-Hua

    Analytical chemistry

    2024  

    Abstract: Microplastics (MPs) can act as carriers of environmental arsenic species into the stomach with food and release arsenic species during digestion, which threatens human health. Herein, an integrated dynamic stomach model (DSM)-capillary electrophoresis- ... ...

    Abstract Microplastics (MPs) can act as carriers of environmental arsenic species into the stomach with food and release arsenic species during digestion, which threatens human health. Herein, an integrated dynamic stomach model (DSM)-capillary electrophoresis-inductively coupled plasma mass spectrometry (CE-ICPMS) is developed for online monitoring of the release and transformation behaviors of arsenic species loaded on MPs (As-MPs) in the simulated human stomach. The 3D-printed DSM with a soft stomach chamber enables the behaviors of gastric peristalsis, gastric and salivary fluid addition, pH adjustment, and gastric emptying (GE) to be controlled by a self-written program after oral ingestion of food with As-MPs. The gastric extract during digestion is introduced into the spiral channel to remove the large particulate impurity and online filtered to obtain the clarified arsenic-containing solution for subsequent speciation analysis of arsenic by CE-ICPMS. The digestion conditions and pretreatment processes of DSM are tracked and validated, and the release rates of As-MPs digested by DSM are compared with those digested by the static stomach model and DSM without GE. The release rate of inorganic arsenic on MPs is higher than that of organic arsenic throughout the gastric digestion process, and 8% of As(V) is reduced to As(III). The detection limits for As(III), DMA, MMA, and As(V) are 0.5-0.9 μg L
    Language English
    Publishing date 2024-04-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.4c00654
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking.

    Jiang, Xinyi / Luo, Yuanxi / Li, Zeshi / Zhang, He / Xu, Zhenjun / Wang, Dongjin

    Frontiers in immunology

    2024  Volume 15, Page(s) 1368904

    Abstract: Background: Coronary artery disease (CAD) is still a lethal disease worldwide. This study aims to identify clinically relevant diagnostic biomarker in CAD and explore the potential medications on CAD.: Methods: GSE42148, GSE180081, and GSE12288 were ... ...

    Abstract Background: Coronary artery disease (CAD) is still a lethal disease worldwide. This study aims to identify clinically relevant diagnostic biomarker in CAD and explore the potential medications on CAD.
    Methods: GSE42148, GSE180081, and GSE12288 were downloaded as the training and validation cohorts to identify the candidate genes by constructing the weighted gene co-expression network analysis. Functional enrichment analysis was utilized to determine the functional roles of these genes. Machine learning algorithms determined the candidate biomarkers. Hub genes were then selected and validated by nomogram and the receiver operating curve. Using CIBERSORTx, the hub genes were further discovered in relation to immune cell infiltrability, and molecules associated with immune active families were analyzed by correlation analysis. Drug screening and molecular docking were used to determine medications that target the four genes.
    Results: There were 191 and 230 key genes respectively identified by the weighted gene co-expression network analysis in two modules. A total of 421 key genes found enriched pathways by functional enrichment analysis. Candidate immune-related genes were then screened and identified by the random forest model and the eXtreme Gradient Boosting algorithm. Finally, four hub genes, namely, CSF3R, EED, HSPA1B, and IL17RA, were obtained and used to establish the nomogram model. The receiver operating curve, the area under curve, and the calibration curve were all used to validate the accuracy and usefulness of the diagnostic model. Immune cell infiltrating was examined, and CAD patients were then divided into high- and low-expression groups for further gene set enrichment analysis. Through targeting the hub genes, we also found potential drugs for anti-CAD treatment by using the molecular docking method.
    Conclusions: CSF3R, EED, HSPA1B, and IL17RA are potential diagnostic biomarkers for CAD. CAD pathogenesis is greatly influenced by patterns of immune cell infiltration. Promising drugs offers new prospects for the development of CAD therapy.
    MeSH term(s) Humans ; Coronary Artery Disease/diagnosis ; Coronary Artery Disease/genetics ; Molecular Docking Simulation ; Nomograms ; Algorithms ; Machine Learning
    Language English
    Publishing date 2024-04-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2024.1368904
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Structure-guided design of a trivalent nanobody cluster targeting SARS-CoV-2 spike protein.

    Jiang, Xinyi / Qin, Qin / Zhu, Haixia / Qian, Jiaqiang / Huang, Qiang

    International journal of biological macromolecules

    2023  Volume 256, Issue Pt 1, Page(s) 128191

    Abstract: Nanobodies are natural anti-SARS-CoV-2 drug candidates. Engineering multivalent nanobodies is an effective way to improve the functional binding affinity of natural nanobodies by simultaneously targeting multiple sites on viral proteins. However, ... ...

    Abstract Nanobodies are natural anti-SARS-CoV-2 drug candidates. Engineering multivalent nanobodies is an effective way to improve the functional binding affinity of natural nanobodies by simultaneously targeting multiple sites on viral proteins. However, multivalent nanobodies have usually been engineered by trial and error, and rational designs are still lacking. Here, we describe a structure-guided design of a self-assembled trivalent nanobody cluster targeting the SARS-CoV-2 spike protein. Using the nanobody Nb6 as a monovalent binder, we first selected a human-derived trimerization scaffold evaluated by molecular dynamics simulations, then selected an optimal linker according to the minimum distance between Nb6 and the trimerization scaffold, and finally successfully engineered a trivalent nanobody cluster called Tribody. Compared with the low-affinity monovalent counterpart (Nb6), Tribody showed much higher target binding affinity (K
    MeSH term(s) Humans ; COVID-19 ; SARS-CoV-2 ; Single-Domain Antibodies ; Spike Glycoprotein, Coronavirus ; Antibodies, Neutralizing ; Protein Binding
    Chemical Substances spike protein, SARS-CoV-2 ; Single-Domain Antibodies ; Spike Glycoprotein, Coronavirus ; Antibodies, Neutralizing
    Language English
    Publishing date 2023-11-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2023.128191
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top