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  1. Book ; Online ; E-Book: Precision molecular pathology of liver cancer

    Liu, Chen

    (Molecular pathology library)

    2018  

    Author's details Chen Liu editor
    Series title Molecular pathology library
    Keywords Medicine ; Gastroenterology ; Oncology ; Pathology
    Subject code 616.07
    Language English
    Size 1 Online-Ressource (XI, 271 Seiten)
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019604399
    ISBN 978-3-319-68082-8 ; 9783319680804 ; 3-319-68082-X ; 3319680803
    DOI 10.1007/978-3-319-68082-8
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: The kappa opioid receptor

    Liu-Chen, Lee-Yuan / Inan, Saadet

    (Handbook of experimental pharmacology ; 271)

    2022  

    Author's details Lee-Yuan Liu-Chen, Saadet Inan editors
    Series title Handbook of experimental pharmacology ; 271
    Collection
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xi, 577 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021202506
    ISBN 978-3-030-89074-2 ; 9783030890735 ; 3-030-89074-0 ; 3030890732
    DOI 10.1007/978-3-030-89074-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Editorial: Noninvasive tests for metabolic dysfunction-associated steatotic liver disease: A refinement of the Nash-FibroTest for type 2 diabetes mellitus.

    Liu, Chen-Hua

    Alimentary pharmacology & therapeutics

    2023  Volume 58, Issue 10, Page(s) 1111–1112

    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/diagnosis ; Non-alcoholic Fatty Liver Disease/diagnosis
    Language English
    Publishing date 2023-10-26
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 639012-2
    ISSN 1365-2036 ; 0269-2813 ; 0953-0673
    ISSN (online) 1365-2036
    ISSN 0269-2813 ; 0953-0673
    DOI 10.1111/apt.17706
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Multidimensional item response theory models for testlet-based doubly bounded data.

    Liu, Chen-Wei

    Behavior research methods

    2023  

    Abstract: A testlet-based visual analogue scale (VAS) is a doubly bounded scaling approach (e.g., from 0% to 100% or from 0 to 1) composed of multiple adjectives, nouns, or sentences (statements/items) within testlets for measuring individuals' attitudes, opinions, ...

    Abstract A testlet-based visual analogue scale (VAS) is a doubly bounded scaling approach (e.g., from 0% to 100% or from 0 to 1) composed of multiple adjectives, nouns, or sentences (statements/items) within testlets for measuring individuals' attitudes, opinions, or career interests. While testlet-based VASs have many advantages over Likert scales, such as reducing response style effects, the development of proper statistical models for analyzing testlet-based VAS data lags behind. This paper proposes a novel beta copula model and a competing logit-normal model based on the item response theory framework, assessed by Bayesian parameter estimation, model comparison, and goodness-of-fit statistics. An empirical career interest dataset based on a testlet-based VAS design was analyzed using the proposed models. Simulation studies were conducted to assess the two models' parameter recovery. The results show that the beta copula model had superior fit in the empirical data analysis, and also exhibited good parameter recovery in the simulation studies, suggesting that it is a promising statistical approach to testlet-based doubly bounded responses.
    Language English
    Publishing date 2023-11-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 231560-9
    ISSN 1554-3528 ; 0743-3808 ; 1554-351X
    ISSN (online) 1554-3528
    ISSN 0743-3808 ; 1554-351X
    DOI 10.3758/s13428-023-02272-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Peptide-derived ligands for the discovery of safer opioid analgesics.

    Eliasof, Abbe / Liu-Chen, Lee-Yuan / Li, Yangmei

    Drug discovery today

    2024  , Page(s) 103950

    Abstract: Drugs targeting the μ-opioid receptor (MOR) remain the most efficacious analgesics for the treatment of pain, but activation of MOR with current opioid analgesics also produces harmful side effects, notably physical dependence, addiction, and respiratory ...

    Abstract Drugs targeting the μ-opioid receptor (MOR) remain the most efficacious analgesics for the treatment of pain, but activation of MOR with current opioid analgesics also produces harmful side effects, notably physical dependence, addiction, and respiratory depression. Opioid peptides have been accepted as promising candidates for the development of safer and more efficacious analgesics. To develop peptide-based opioid analgesics, strategies such as modification of endogenous opioid peptides, development of multifunctional opioid peptides, G protein-biased opioid peptides, and peripherally restricted opioid peptides have been reported. This review seeks to provide an overview of the opioid peptides that produce potent antinociception with much reduced side effects in animal models and highlight the potential advantages of peptides as safer opioid analgesics.
    Language English
    Publishing date 2024-03-20
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1324988-5
    ISSN 1878-5832 ; 1359-6446
    ISSN (online) 1878-5832
    ISSN 1359-6446
    DOI 10.1016/j.drudis.2024.103950
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Identification and immunoassay of prognostic genes associated with the complement system in acute myeloid leukemia.

    Liu, Chen / Liu, Lin

    Journal of the Formosan Medical Association = Taiwan yi zhi

    2024  

    Abstract: Studies have associated the development of pulmonary leukemia with the activation of the complement system. However, the roles and mechanisms of complement system-related genes (CSRGs) in acute myeloid leukemia (AML) have not been investigated ... ...

    Abstract Studies have associated the development of pulmonary leukemia with the activation of the complement system. However, the roles and mechanisms of complement system-related genes (CSRGs) in acute myeloid leukemia (AML) have not been investigated extensively. This study used The Cancer Genome Atlas (TCGA)-AML and GSE37642 datasets. Differentially expressed CSRGs (CSRDEGs) were identified by overlapping genes differentially expressed between the high and low CSRG score groups and key module genes identified in a weighted gene co-expression network analysis. Univariate and multivariate Cox analyses identified CSRG-related biomarkers, which were used to build a prognostic model. After gene set enrichment analysis (GSEA), immune-related and drug-sensitivity analyses were performed in the high- and low-risk groups. Four prognosis-related biomarkers were identified and used to develop a prognostic model: MEOX2, IGFBP5, CH25H, and RAB3B. The model's performance was verified in a test cohort (a subset of samples from the TCGA-AML dataset) and a validation cohort (GSE37642). The GSEA revealed that the high-risk group was mainly enriched for Golgi organization and cytokine-cytokine receptor interactions, and the low-risk group was mainly enriched in the hedgehog signaling pathway and spliceosome. Lastly, two immune cells were found to show differential infiltration between risk groups, which correlated with the risk scores. M1 macrophage infiltration was significantly positively correlated with RAB3B expression. Sensitivity to 36 drugs differed significantly between risk groups. This study screened four CSRG-related biomarkers (MEOX2, IGFBP5, CH25H, and RAB3B) to provide a basis for predicting AML prognosis.
    Language English
    Publishing date 2024-02-09
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 2096659-3
    ISSN 1876-0821 ; 0929-6646
    ISSN (online) 1876-0821
    ISSN 0929-6646
    DOI 10.1016/j.jfma.2024.01.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of Pretreatment on Stability of Peanut Oil Bodies and Functional Characteristics of Proteins Extracted by Aqueous Enzymatic Method.

    Liu, Chen / Chen, Fu-Sheng

    Journal of oleo science

    2024  Volume 73, Issue 2, Page(s) 201–213

    Abstract: Effects of dry and wet grind on peanut oil and protein yield, oil bodies (OBs) stability, fatty acid composition, protein composition and functional characteristics were systematically analyzed. Results showed that peanut oil and protein yields reached ... ...

    Abstract Effects of dry and wet grind on peanut oil and protein yield, oil bodies (OBs) stability, fatty acid composition, protein composition and functional characteristics were systematically analyzed. Results showed that peanut oil and protein yields reached highest at dry grind 90 s (92.56% and 83.05%, respectively), while peanut oil and protein yields were 94.58% and 85.36%, respectively, at wet grind 120 s. Peanut oil and protein yields by wet grind was 2.18% and 2.78% higher than that of dry grind, respectively. Surface protein concentration (Г) and absolute value of zeta potential of OBs extracted by wet grind (WOBs) were 11.53 mg/m
    MeSH term(s) Peanut Oil/chemistry ; Arachis/chemistry ; Lipid Droplets/chemistry ; Fatty Acids/analysis ; Solubility
    Chemical Substances Peanut Oil ; Fatty Acids
    Language English
    Publishing date 2024-02-03
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2218264-0
    ISSN 1347-3352 ; 1345-8957
    ISSN (online) 1347-3352
    ISSN 1345-8957
    DOI 10.5650/jos.ess23128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models.

    Liu, Chen-Wei

    Applied psychological measurement

    2022  Volume 46, Issue 8, Page(s) 662–674

    Abstract: The expectation-maximization (EM) algorithm is a commonly used technique for the parameter estimation of the diagnostic classification models (DCMs) with a prespecified Q-matrix; however, it ... ...

    Abstract The expectation-maximization (EM) algorithm is a commonly used technique for the parameter estimation of the diagnostic classification models (DCMs) with a prespecified Q-matrix; however, it requires
    Language English
    Publishing date 2022-09-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2002941-X
    ISSN 1552-3497 ; 0146-6216
    ISSN (online) 1552-3497
    ISSN 0146-6216
    DOI 10.1177/01466216221123981
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Recent Advances on Natural Aryl-

    Liu, Chen-Fu

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 21

    Abstract: Aryl- ...

    Abstract Aryl-
    MeSH term(s) Antioxidants/pharmacology ; Antioxidants/chemistry ; Glycosides/chemistry ; Hypoglycemic Agents/pharmacology ; Hypoglycemic Agents/chemistry ; Anti-Inflammatory Agents/pharmacology ; Cardiac Glycosides
    Chemical Substances C-glycoside ; Antioxidants ; Glycosides ; Hypoglycemic Agents ; Anti-Inflammatory Agents ; Cardiac Glycosides
    Language English
    Publishing date 2022-11-01
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27217439
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Thesis ; Online: Influence of human intestinal microbial metabolism on the induction of Nrf2 signaling by green tea catechins as characterized by new approach methodologies (NAMs)

    Liu, Chen

    2022  

    Abstract: Green tea, which is mainly manufactured from buds and leaves of Camellia sinensis, is one of the most widely consumed beverages around the world. Catechins are the most abundant bioactive constituents in green teas, amounting up to 30% of the total dry ... ...

    Abstract Green tea, which is mainly manufactured from buds and leaves of Camellia sinensis, is one of the most widely consumed beverages around the world. Catechins are the most abundant bioactive constituents in green teas, amounting up to 30% of the total dry weight. (-)-Epigallocatechin gallate (EGCG), (-)-epigallocatechin (EGC), (-)-epicatechin gallate (ECG) and (-)-epicatechin (EC) are the four major catechins among others. These catechins are believed to be responsible for various beneficial health effects that have been ascribed to green tea consumption. Though the modes of action underlying these health-promoting effects can be complicated and have not been fully understood, the Kelch-like ECH-associated protein 1/Nuclear factor E2-related factor 2 (Keap1/Nrf2) regulatory network has been reported to play a role. In the present thesis, in vitro anaerobic fecal incubation was used to characterize the microbial conversion of green tea catechins EC and EGCG. Results obtained show phenylpropane-2-ols, phenyl-valerolactones, gallic acid, pyrogallol, phenyl-valeric acids as the major metabolites, with substantial interindividual differences. Moreover, intraindividual difference in the formation of the major EC colonic metabolite 5-(3’,4’-dihydroxyphenyl)-γ-valerolactone (3,4-diHPV) was also observed, though the interindividual difference was larger than intraindividual difference. Furthermore, quantitative microbiota characterization in the fecal samples, achieved by 16S rRNA analysis, revealed substantial differences in microbiota compositions among different individuals. Correlations between specific microbial abundance and formation of certain metabolites were established. The Nrf2 signaling activation by EGCG, EC and their major microbial metabolites were tested using reporter gene assays, RT-qPCR, and proteomics technic. Results show EGCG and the microbial metabolites 3,4-diHPV and pyrogallol can induce concentration-dependent induction of Nrf2 pathway. Moreover, metabolites 3,4-diHPV and pyrogallol exhibited ...
    Keywords Life Science
    Subject code 500
    Language English
    Publisher Wageningen University
    Publishing country nl
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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