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  1. Book ; Online ; E-Book: Advances in toxicology and risk assessment of nanomaterials and emerging contaminants

    Guo, Liang-Hong / Mortimer, Monika

    2022  

    Author's details Liang-Hong Guo, Monika Mortimer editors
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xiii, 371 Seitgen), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021296903
    ISBN 978-981-16-9116-4 ; 9789811691157 ; 981-16-9116-9 ; 9811691150
    DOI 10.1007/978-981-16-9116-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book: Human performance in space: advancing astronautics research in China

    Liang, Hong

    (Science ; [345,] Suppl.)

    2014  

    Author's details guest ed..: Hong Liang
    Series title Science ; [345,] Suppl.
    Collection
    Language English
    Size 69 S. : Ill., graph. Darst.
    Publishing place S.l.
    Publishing country United States
    Document type Book
    HBZ-ID HT018497026
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 27 -[345,]Suppl.- not available for loan Zeitschriften-Lesesaal

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  3. Article ; Online: Elucidating ascorbate and aldarate metabolism pathway characteristics via integration of untargeted metabolomics and transcriptomics of the kidney of high-fat diet-fed obese mice.

    Liang, Hong / Song, Kang

    PloS one

    2024  Volume 19, Issue 4, Page(s) e0300705

    Abstract: Obesity is a major independent risk factor for chronic kidney disease and can activate renal oxidative stress injury. Ascorbate and aldarate metabolism is an important carbohydrate metabolic pathway that protects cells from oxidative damage. However the ... ...

    Abstract Obesity is a major independent risk factor for chronic kidney disease and can activate renal oxidative stress injury. Ascorbate and aldarate metabolism is an important carbohydrate metabolic pathway that protects cells from oxidative damage. However the effect of oxidative stress on this pathway is still unclear. Therefore, the primary objective of this study was to investigate the ascorbate and aldarate metabolism pathway in the kidneys of high-fat diet-fed obese mice and determine the effects of oxidative stress. Male C57BL/6J mice were fed on a high-fat diet for 12 weeks to induce obesity. Subsequently, non-targeted metabolomics profiling was used to identify metabolites in the kidney tissues of the obese mice, followed by RNA sequencing using transcriptomic methods. The integrated analysis of metabolomics and transcriptomics revealed the alterations in the ascorbate and aldarate metabolic pathway in the kidneys of these high-fat diet-fed obese mice. The high-fat diet-induced obesity resulted in notable changes, including thinning of the glomerular basement membrane, alterations in podocyte morphology, and an increase in oxidative stress. Metabolomics analysis revealed 649 metabolites in the positive-ion mode, and 470 metabolites in the negative-ion mode. Additionally, 659 differentially expressed genes (DEGs) were identified in the obese mice, of which 34 were upregulated and 625 downregulated. Integrated metabolomics and transcriptomics analyses revealed two DEGs and 13 differential metabolites in the ascorbate and aldarate metabolic pathway. The expression levels of ugt1a9 and ugt2b1 were downregulated, and the ascorbate level in kidney tissue of obese mice was reduced. Thus, renal oxidative stress injury induced by high-fat diet affects metabolic regulation of ascorbate and aldarate metabolism in obese mice. Ascorbate emerged as a potential marker for predicting kidney damage due to high-fat diet-induced obesity.
    MeSH term(s) Animals ; Mice ; Male ; Diet, High-Fat/adverse effects ; Mice, Obese ; Mice, Inbred C57BL ; Kidney/metabolism ; Obesity/etiology ; Obesity/metabolism ; Metabolomics ; Gene Expression Profiling
    Language English
    Publishing date 2024-04-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0300705
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Thesis: Changes in myocardial collagen content before and after left ventricular assist device application in dilated cardiomyopathy

    Liang, Hong

    2003  

    Author's details vorgelegt von Hong Liang
    Language English
    Size 59 Bl. : graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Berlin, Freie Univ., Diss., 2003
    HBZ-ID HT013922169
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2004 E 385 order for loan Magazin

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  5. Article ; Online: Comprehensive metabolomics and transcriptomics analysis reveals protein and amino acid metabolic characteristics in liver tissue under chronic hypoxia.

    Liang, Hong / Song, Kang

    PloS one

    2023  Volume 18, Issue 9, Page(s) e0291798

    Abstract: At high altitudes, oxygen deprivation can cause pathophysiological changes. Liver tissue function is known to impact whole-body energy metabolism; however, how these functions are affected by chronic hypoxia remains unclear. We aimed to elucidate ... ...

    Abstract At high altitudes, oxygen deprivation can cause pathophysiological changes. Liver tissue function is known to impact whole-body energy metabolism; however, how these functions are affected by chronic hypoxia remains unclear. We aimed to elucidate changing characteristics underlying the effect of chronic hypoxia on protein and amino acid metabolism in mouse livers. Mice were maintained in a hypobaric chamber simulating high altitude for 4 weeks. Livers were collected for metabolomic analysis via ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry. For transcriptomics analysis, we conducted RNA sequencing of hepatic tissues followed by Gene Ontology and KEGG pathway enrichment analyses. Chronic hypoxic exposure caused metabolic disorders of amino acids and their derivatives in liver tissue. We identified a number of metabolites with significantly altered profiles (including amino acids, peptides, and analogues), of which serine, phenylalanine, leucine, proline, aspartic acid, L-glutamate, creatine, 5-aminovaleric acid, L-hydroxyarginin, and g-guanidinobutyrate showed great potential as biomarkers of chronic hypoxia. A total of 2124 genes with significantly different expression levels were identified in hypoxic liver tissue, of which 1244 were upregulated and 880 were downregulated. We found pathways for protein digestion and absorption, arginine and proline metabolism, and mineral absorption related to amino acid metabolism were affected by hypoxia. Our findings surrounding the regulation of key metabolites and differentially expressed genes provide new insights into changes in protein and amino acid metabolism in the liver that result from chronic hypoxia.
    MeSH term(s) Animals ; Mice ; Amino Acids ; Transcriptome ; Liver ; Proline ; Hypoxia/genetics
    Chemical Substances Amino Acids ; Proline (9DLQ4CIU6V)
    Language English
    Publishing date 2023-09-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0291798
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Continuous and discontinuous compressible flows in a converging-diverging channel solved by physics-informed neural networks without exogenous data.

    Liang, Hong / Song, Zilong / Zhao, Chong / Bian, Xin

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3822

    Abstract: Physics-informed neural networks (PINNs) are employed to solve the classical compressible flow problem in a converging-diverging nozzle. This problem represents a typical example described by the Euler equations, a thorough understanding of which serves ... ...

    Abstract Physics-informed neural networks (PINNs) are employed to solve the classical compressible flow problem in a converging-diverging nozzle. This problem represents a typical example described by the Euler equations, a thorough understanding of which serves as a guide for solving more general compressible flows. Given a geometry of the channel, analytical solutions for the steady states do indeed exist, and they depend on the ratio between the back pressure of the outlet and the stagnation pressure of the inlet. Moreover, in the diverging region, the solution may branch into subsonic flow, supersonic flow, or a mixture of both with a discontinuous transition where a normal shock occurs. Classical numerical schemes with shock fitting and capturing methods have been developed to solve this type of problem effectively, whereas the original PINNs are unable to predict the flows correctly. We make a first attempt to exploit the power of PINNs to solve this problem directly by adjusting the weights of different components of the loss function to acquire physical solutions and in the meantime, avoid trivial solutions. With a universal setting yet no exogenous data, we are able to solve this problem accurately; that is, for different given pressure ratios, PINNs provide different branches of solutions at both steady and unsteady states, some of which are discontinuous in nature. For an inverse problem such as unknown specific-heat ratio, it works effectively as well.
    Language English
    Publishing date 2024-02-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53680-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Year in Review 2023: Noteworthy Literature in Cardiothoracic Transplantation.

    Saleem, Faiz / Liang, Hong / Martin, Archer Kilbourne

    Seminars in cardiothoracic and vascular anesthesia

    2024  Volume 28, Issue 2, Page(s) 106–112

    Abstract: This review highlights key studies examining perioperative management of cardiothoracic transplantation published in 2023. Articles were manually screened after searching Scopus, PubMed, and Google Scholar databases for manuscripts related to ... ...

    Abstract This review highlights key studies examining perioperative management of cardiothoracic transplantation published in 2023. Articles were manually screened after searching Scopus, PubMed, and Google Scholar databases for manuscripts related to cardiothoracic transplantation, which yielded 343 papers with 15 qualitatively selected as the most salient for readers. Overarching themes include differences in outcomes across the various etiologies of end-stage lung disease, novel developments to expand the donor pool, and multi-organ transplantation.
    MeSH term(s) Humans ; Heart Transplantation/methods ; Lung Transplantation/methods ; Perioperative Care/methods
    Language English
    Publishing date 2024-03-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2012371-1
    ISSN 1940-5596 ; 1089-2532
    ISSN (online) 1940-5596
    ISSN 1089-2532
    DOI 10.1177/10892532241242973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5308: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Application of Multidimensional Structural Equations in the Emergency Management of Coal Mine Accidents

    Tianyue Zhang / Jiayu Liu / Liang Hong

    Processes, Vol 11, Iss 882, p

    2023  Volume 882

    Abstract: The use of coal as a source of energy is crucial for the growth of the national economy, but mining poses numerous risks and a potential for significant disasters. Coal mine safety is the prerequisite and guarantee for coal industry to achieve new ... ...

    Abstract The use of coal as a source of energy is crucial for the growth of the national economy, but mining poses numerous risks and a potential for significant disasters. Coal mine safety is the prerequisite and guarantee for coal industry to achieve new industrialization and sustainable development. Therefore, it is crucial to predict a safety accident in the coal mine in advance. In order to facilitate the early warning of coal mine safety accidents, this study seeks to present a prediction model based on emergency management of safety accidents, which is a fusion model of principal component analysis (PCA) and long short-term memory neural network. According to the results, the correlation coefficients of risk identification and monitoring (a11), safety inspection and warning (a12), emergency planning and training (a13), material and technical support (a15), and macroenvironmental management (a21) were 0.718, 0.653, 0.628, 0.444, and 0.553, respectively, after the PCA dimensionality reduction process, demonstrating that the previous principal component analysis had a better effect. The absolute relative errors of each evaluation index of safety accident emergency management did not exceed the limit of 5%, including a15 and a21, whose values were 4.5% and −3.8%, while the relative errors of the remaining indicators were kept at a relatively low level. In conclusion, it is clear that the algorithm model suggested in this research improved the warning capabilities of safety accident emergency risk.
    Keywords coal mine emergency management capability ; evaluation index system ; evaluation model ; principal component analysis ; long short-term memory neural network ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 380
    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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  9. Article ; Online: Correlation of GSK3β expression with cell invasion and proliferation in pancreatic cancer tissue

    Liang Hong

    Journal of Hainan Medical University, Vol 23, Iss 5, Pp 9-

    2017  Volume 12

    Abstract: Objective: To study the correlation of glycogen synthesis kinase 3β (GSK3β) expression with cell invasion and proliferation in pancreatic cancer tissue. Methods: Pancreatic cancer tissue and para-carcinoma tissue surgically removed in our hospital ... ...

    Abstract Objective: To study the correlation of glycogen synthesis kinase 3β (GSK3β) expression with cell invasion and proliferation in pancreatic cancer tissue. Methods: Pancreatic cancer tissue and para-carcinoma tissue surgically removed in our hospital between May 2013 and March 2016 were selected, immunohistochemical kits were used to determine the positive expression rate of GSK3β, and enzyme-linked immunosorbent assay kits were used to determine the protein expression of GSK3β as well as invasion and proliferation-related molecules. Results: The positive expression rate and protein level of GSK3 in pancreatic cancer tissue were significantly higher than those in para-carcinoma tissue (P<0.05); CCL21, CCR7, Vimentin, Cyclin D1, CDK4 and CDK6 expression in pancreatic cancer tissue were significantly higher than those in para-carcinoma tissue (P<0.05) while E-cadherin, P15INK4B and P21WAF1/CIP1 expression were significantly lower than those in para-carcinoma tissue (P<0.05); CCL21, CCR7, Vimentin, Cyclin D1, CDK4 and CDK6 expression in pancreatic cancer tissue with positive GSK3β expression were significantly higher than those in pancreatic cancer tissue with negative GSK3β expression (P<0.05) while E-cadherin, P15INK4B and P21WAF1/CIP1 expression were significantly lower than those in pancreatic cancer tissue with negative GSK3β expression (P<0.05). Conclusions: Highly expressed GSK3β in pancreatic cancer tissue can promote cancer cell invasion and proliferation.
    Keywords Pancreatic cancer ; Glycogen synthase kinase 3β ; Invasion ; Epithelial-mesenchymal transition ; Proliferation ; Medicine ; R
    Language English
    Publishing date 2017-05-01T00:00:00Z
    Publisher Editorial Board of Journal of Hainan Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Calmodulin Interactions with Voltage-Gated Sodium Channels

    Xin Wu / Liang Hong

    International Journal of Molecular Sciences, Vol 22, Iss 9798, p

    2021  Volume 9798

    Abstract: Calmodulin (CaM) is a small protein that acts as a ubiquitous signal transducer and regulates neuronal plasticity, muscle contraction, and immune response. It interacts with ion channels and plays regulatory roles in cellular electrophysiology. CaM ... ...

    Abstract Calmodulin (CaM) is a small protein that acts as a ubiquitous signal transducer and regulates neuronal plasticity, muscle contraction, and immune response. It interacts with ion channels and plays regulatory roles in cellular electrophysiology. CaM modulates the voltage-gated sodium channel gating process, alters sodium current density, and regulates sodium channel protein trafficking and expression. Many mutations in the CaM-binding IQ domain give rise to diseases including epilepsy, autism, and arrhythmias by interfering with CaM interaction with the channel. In the present review, we discuss CaM interactions with the voltage-gated sodium channel and modulators involved in CaM regulation, as well as summarize CaM-binding IQ domain mutations associated with human diseases in the voltage-gated sodium channel family.
    Keywords calmodulin ; voltage-gated sodium channel ; IQ domain ; sodium channel isoform ; genetic mutation ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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