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  1. Article ; Online: Impact of the gene polymorphisms in the renin-angiotensin system on cardiomyopathy risk

    Xiaoxiao Jia / Liping Meng / Weiliang Tang / Liping Sun / Fang Peng / Peng Zhang

    PLoS ONE, Vol 19, Iss

    A meta-analysis

    2024  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Genome-Wide Analysis of

    Yang, Yanbo / Cai, Qihang / Luo, Li / Sun, Zhenghai / Li, Liping

    Plants (Basel, Switzerland)

    2024  Volume 13, Issue 4

    Abstract: ... Capsicum ... ...

    Abstract Capsicum baccatum
    Language English
    Publishing date 2024-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants13040549
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Childhood obesity is associated with asthma: A two-sample Mendelian randomization analysis.

    Xiao, Yao / Yang, Fushuang / Wang, Lie / Sun, Liping

    Asian journal of surgery

    2024  Volume 47, Issue 4, Page(s) 1932–1933

    MeSH term(s) Humans ; Child ; Pediatric Obesity/complications ; Pediatric Obesity/genetics ; Mendelian Randomization Analysis ; Asthma/genetics ; Asthma/complications
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.12.177
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2831: Show issues Location:
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  4. Article: Promotion of the Efficient Electrocatalytic Production of H

    Sun, Lina / Sun, Liping / Huo, Lihua / Zhao, Hui

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 7

    Abstract: ... ...

    Abstract H
    Language English
    Publishing date 2023-03-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13071188
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients.

    Li, Guodong / Sun, Yubo / Zhu, Liping

    Frontiers in pharmacology

    2024  Volume 15, Page(s) 1352113

    Abstract: Background and aim: Vancomycin, a glycopeptide antimicrobial drug. PPK has problems such as difficulty in accurately reflecting inter-individual differences, and the PPK model may not be accurate enough to predict individual pharmacokinetic parameters. ... ...

    Abstract Background and aim: Vancomycin, a glycopeptide antimicrobial drug. PPK has problems such as difficulty in accurately reflecting inter-individual differences, and the PPK model may not be accurate enough to predict individual pharmacokinetic parameters. Therefore, the aim of this study is to investigate whether the application of machine learning combined with the PPK method can improve the prediction of vancomycin CL in adult Chinese patients.
    Methods: In the first step, a vancomycin CL prediction model for Chinese adult patients is given by PPK and Hamilton Monte Carlo sampling is used to obtain the reference CL of 1,000 patients; the second step is to obtain the final prediction model by machine learning using an appropriate model for the predictive factor and the reference CL; and the third step is to randomly select, in the simulated data, a total of 250 patients for prediction effect evaluation.
    Results: XGBoost model is selected as final machine learning model. More than four-fifths of the subjects' predictive values regarding vancomycin CL are improved by machine learning combined with PPK. Machine learning combined with PPK models is more stable in performance than the PPK method alone for predicting models.
    Conclusion: The first combination of PPK and machine learning for predictive modeling of vancomycin clearance in adult patients. It provides a reference for clinical pharmacists or clinicians to optimize the initial dosage given to ensure the effectiveness and safety of drug therapy for each patient.
    Language English
    Publishing date 2024-03-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2024.1352113
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Letter to the Editor: Does Minimally Invasive Surgery Provide Better Clinical or Radiographic Outcomes Than Open Surgery in the Treatment of Hallux Valgus Deformity? A Systematic Review and Meta-analysis.

    He, Tianda / Zhou, Liping / Sun, Yu

    Clinical orthopaedics and related research

    2023  

    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80301-7
    ISSN 1528-1132 ; 0009-921X
    ISSN (online) 1528-1132
    ISSN 0009-921X
    DOI 10.1097/CORR.0000000000002890
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  7. Article ; Online: Does oil price volatility influences carbon emission trends and financial concerns of oil industry?

    Tian, Xiaochuan / Sun, Liping

    Environmental science and pollution research international

    2023  Volume 31, Issue 1, Page(s) 1382–1394

    Abstract: This analysis explores the complicated relationship between oil price fluctuations, the oil industry's finances, and the resulting increase or decrease in carbon emissions. Oil price changes have far-reaching effects on the global economy because of its ... ...

    Abstract This analysis explores the complicated relationship between oil price fluctuations, the oil industry's finances, and the resulting increase or decrease in carbon emissions. Oil price changes have far-reaching effects on the global economy because of its dependence on fossil fuels; therefore, understanding these patterns is essential for effective policymaking and long-term energy planning. The study uses a dataset built from secondary data collected in China over 15 years, starting in 2008 and ending in 2022. This information comes from a wide range of authoritative places, including public records, trade journals, university studies, and the records of international organizations, and provides a solid foundation for study. Oil prices on a global and national scale, oil sector financial performance indicators (such as revenues, earnings, and investment levels), and carbon emission statistics are all significant factors under investigation. As one of the world's largest oil consumers, China has been singled out in this study to allow for a more comprehensive analysis of reactions within this crucial subset of the energy industry. To understand the complex interplay between oil price shocks, the financial dynamics of the oil sector, and carbon emissions, the research utilizes statistical and econometric methods, most notably time-series analysis and regression models. The results are meant to shed light on how oil price shocks consistently affect the monetary aspects of the oil business and, by extension, the patterns in carbon emissions. This study helps us understand these vital interrelationships more completely and nuancedly.
    MeSH term(s) Humans ; Carbon/analysis ; Industry ; Fossil Fuels/analysis ; Commerce ; China ; Carbon Dioxide/analysis
    Chemical Substances Carbon (7440-44-0) ; Fossil Fuels ; Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2023-12-01
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-30763-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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  8. Article ; Online: Impact of the gene polymorphisms in the renin-angiotensin system on cardiomyopathy risk: A meta-analysis.

    Jia, Xiaoxiao / Meng, Liping / Tang, Weiliang / Sun, Liping / Peng, Fang / Zhang, Peng

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0295626

    Abstract: Due to the inconsistent findings from various studies, the role of gene polymorphisms in the renin-angiotensin system in influencing the development of cardiomyopathy remains unclear. In this study, we conducted a systematic review and meta-analysis to ... ...

    Abstract Due to the inconsistent findings from various studies, the role of gene polymorphisms in the renin-angiotensin system in influencing the development of cardiomyopathy remains unclear. In this study, we conducted a systematic review and meta-analysis to summarize the findings regarding the impact of angiotensin converting enzyme (ACE) I/D, angiotensinogen (AGT) M235T, and angiotensin II Type 1 receptor (AGTR1) A1166C gene polymorphisms in patients with cardiomyopathy. We performed a comprehensive search of several electronic databases, including PubMed, Embase, the Cochrane Library, and Web of Science, covering articles published from the time of database creation to April 17, 2023. Studies on the assessment of genetic polymorphisms in genes related to the renin-angiotensin system in relation to cardiomyopathy were included. The primary outcome was cardiomyopathy. Risk of bias was assessed using the Newcastle-Ottawa Scale scale. The meta-analysis includes 19 studies with 4,052 cases and 5,592 controls. The ACE I/D polymorphisms were found to be associated with cardiomyopathy (allelic model D vs I: OR = 1.29, 95CI% = 1.08-1.52; dominant model DD+ID vs II: OR = 1.43, 95CI% = 1.01-2.02; recessive model DD vs ID+II: OR = 0.79, 95CI% = 0.64-0.98). AGT M235T polymorphism and cardiomyopathy were not significantly correlated (allelic model T vs M: OR = 1.26, 95CI% = 0.96-1.66; dominant model TT+MT vs MM: OR = 1.30, 95CI% = 0.98-1.73; recessive model TT vs MT+MM: OR = 0.63, 95CI% = 0.37-1.07). AGTR1 polymorphism and cardiomyopathy were not significantly associated under allelic model A vs C (OR = 0.69, 95CI% = 0.46-1.03) and recessive model AA vs CA+CC (OR = 0.89, 95CI% = 0.34-2.30), but under the dominant model AA+CA vs CC (OR = 0.51, 95CI% = 0.38-0.68). The current meta-analysis reveals that polymorphisms in ACE I/D may be a genetic risk factor for cardiomyopathy. There is an association between AGTR1 gene polymorphisms and risk of cardiomyopathy under the specific model.
    MeSH term(s) Humans ; Renin-Angiotensin System/genetics ; Risk Factors ; Polymorphism, Genetic ; Peptidyl-Dipeptidase A/genetics ; Angiotensinogen/genetics ; Cardiomyopathies/genetics ; Receptor, Angiotensin, Type 1/genetics
    Chemical Substances Peptidyl-Dipeptidase A (EC 3.4.15.1) ; Angiotensinogen (11002-13-4) ; Receptor, Angiotensin, Type 1
    Language English
    Publishing date 2024-01-02
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0295626
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Book ; Thesis: CARD15 genotype phenotype analysis in children and adolescents with Crohn's disease

    Sun, Liping

    2003  

    Author's details vorgelegt von Liping Sun
    Language English
    Size 73 Bl. : Ill., graph. Darst., 30 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dresden, Techn. Univ., Diss., 2003
    HBZ-ID HT013951297
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2004 E 726 order for loan Magazin

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  10. Article ; Online: Chemical composition, health benefits, food processing effects and applications of

    Liu, Qiuming / Sun, Liping / Ding, Yangyue / Zhuang, Yongliang

    Critical reviews in food science and nutrition

    2023  , Page(s) 1–23

    Abstract: ... ...

    Abstract Boletus
    Language English
    Publishing date 2023-07-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1037504-1
    ISSN 1549-7852 ; 1040-8398
    ISSN (online) 1549-7852
    ISSN 1040-8398
    DOI 10.1080/10408398.2023.2229426
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1459: Show issues Location:
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