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287 results on '"Li, Hailun"'

1. Recombinant IFN-γ1b Treatment in a Patient with Inherited IFN-γ Deficiency

Author

Rosain, Jérémie, Kiykim, Ayca, Michev, Alexandre, Kendir-Demirkol, Yasemin, Rinchai, Darawan, Peel, Jessica N., Li, Hailun, Ocak, Suheyla, Ozdemir, Pinar Gokmirza, Le Voyer, Tom, Philippot, Quentin, Khan, Taushif, Neehus, Anna-Lena, Migaud, Mélanie, Soudée, Camille, Boisson-Dupuis, Stéphanie, Marr, Nico, Borghesi, Alessandro, Casanova, Jean-Laurent, and Bustamante, Jacinta

Published
2024
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6. Network pharmacology combined with molecular docking and experimental validation to reveal the pharmacological mechanism of naringin against renal fibrosis

Author

Zhong Yanan, Li Xiang, Xie Juan, Zhang Yiyuan, Li Hailun, and Zheng Donghui

Subjects
naringin, renal fibrosis, network pharmacology, signaling pathway, Medicine
Abstract

To explore the pharmacological mechanism of naringin (NRG) in renal fibrosis (RF) based on network pharmacology combined with molecular docking and experimental validation. We used databases to screen for the targets of NRG and RF. The “drug-disease network” was established using Cytoscape. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of targets were performed using Metascape, and molecular docking was performed using Schrödinger. We established an RF model in both mice and cells to validate the results of network pharmacology. After screening the database, we identified 222 common targets of NRG and RF and established a target network. Molecular docking showed that the target AKT had a good interaction with NRG. We found that the phosphatidylinositol 3-kinase (PI3K)/AKT signaling pathway was enriched by multiple targets and served as a target for experimental validation through GO and KEGG. The results revealed that NRG ameliorated renal dysfunction, reduced the release of inflammatory cytokines, decreased the expression of α-SMA, collagen I, and Fn, and recovered the expression of E-cad by inhibiting the PI3K/AKT signaling pathway. Our study used pharmacological analysis to predict the targets and mechanisms of NRG against RF. Furthermore, experiments proved that NRG inhibited RF effectively by targeting the PI3K/AKT signaling pathway.

Published
2023
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9. Human MCTS1-dependent translation of JAK2 is essential for IFN-γ immunity to mycobacteria

Author

Bohlen, Jonathan, Zhou, Qinhua, Philippot, Quentin, Ogishi, Masato, Rinchai, Darawan, Nieminen, Tea, Seyedpour, Simin, Parvaneh, Nima, Rezaei, Nima, Yazdanpanah, Niloufar, Momenilandi, Mana, Conil, Clément, Neehus, Anna-Lena, Schmidt, Carltin, Arango-Franco, Carlos A., Voyer, Tom Le, Khan, Taushif, Yang, Rui, Puchan, Julia, Erazo, Lucia, Roiuk, Mykola, Vatovec, Taja, Janda, Zarah, Bagarić, Ivan, Materna, Marie, Gervais, Adrian, Li, Hailun, Rosain, Jérémie, Peel, Jessica N, Seeleuthner, Yoann, Han, Ji Eun, L’Honneur, Anne-Sophie, Moncada-Vélez, Marcela, Martin-Fernandez, Marta, Horesh, Michael E., Kochetkov, Tatiana, Schmidt, Monika, AlShehri, Mohammed A., Salo, Eeva, Saxen, Harri, ElGhazali, Gehad, Yatim, Ahmad, Soudée, Camille, Sallusto, Federica, Ensser, Armin, Marr, Nico, Zhang, Peng, Bogunovic, Dusan, Cobat, Aurélie, Shahrooei, Mohammad, Béziat, Vivien, Abel, Laurent, Wang, Xiaochuan, Boisson-Dupuis, Stéphanie, Teleman, Aurelio A., Bustamante, Jacinta, Zhang, Qian, and Casanova, Jean-Laurent

Published
2023
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15. A proposed framework for sustainable development in an industrial low-carbon economy

Author

Li, Hailun

Subjects
658.4
Abstract

Along with the rapid increase in the size of the global economy, anthropogenic carbon dioxide (CO2) emissions have also increased over the years, intensifying the greenhouse gas effect and increasing the tension between human and natural environments. Governments have set national and industrial targets for reducing CO2 emissions, while research is being carried out to provide theories to investigate sustainable approaches to achieving low-carbon emission to support these strategies. Pigouvian Tax Theory and the Coase Theorem provide theoretical backing for restraining CO2 emissions through economic methods, such as taxation. The Environmental Kuznets Curve (EKC), the Theory of Coupling-Decoupling, and the IPAT Function investigate the relationship between economic growth and CO2 emissions; however, their conclusions do not provide sufficient guidance to the industrial activities of low-carbon emission in a lowcarbon economy. Most of the studies in this field are still focusing on individual factors within a low carbon economy; their conclusions represent only part of an overall system. In fact, the industrial low-carbon economy is a complex system with inter-disciplinary elements. We therefore carried out research from the perspective of systems thinking, where industrial low-carbon economy is treated as a holistic system. Based on this principle, this research analyses the low-carbon economy with an improved philosophical and theoretical foundations, building up the research methodology, then selecting and optimising the dimensions and factors for representing this system. Seven dimensions are identified: policy and law, macro-economics, society, industrial technology, industrial economy, carrying capacity and industrial goal. These dimensions and the logic interrelationships among them comprise the dimensional structure model, qualitatively representing this system. Further analysis applying Interpretative Structural Modelling method to the factors from each dimension identified a causal relationships model and a hierarchical structure model, presenting the logic and structure of this system. Population, industrial production technology and industrial technology for CO2 treatment are the key factors for achieving a system to determine the goal of maintaining industrial net profit in the low-carbon economy. The population affects the system’s goal through its influences on industrial GDP and industrial policy for low-carbon emission, while industrial production technology and industrial technology for CO2 pollution treatment influence the system’s goal through their causal effects on the industrial GDP and the amount of CO2 emissions from industrial production. From the hierarchical structure model, the logical relational model is constructed, qualitatively representing the logic within this system, with five sub-models. The models for the industrial sustainable development and the optimal approach to low-carbon emission are constructed to identify the approaches to achieve industrial sustainable development and low-carbon emission, which include maintaining net profit after the cost of reducing CO2 emissions, and improving production technology. The theoretical model for economic growth and CO2 emissions in an industrial low-carbon economy is constructed to illustrate the relationships between economic growth and CO2 emissions, which is a correlation but not causal. Therefore, none of the theories of EKC, Coupling-Decoupling and IPAT Function is tenable. The decision-making models for industrial low-carbon emission policy and industrial fiscal and monetary policy are constructed to indicate the policy-making process and their support in achieving the system’s goal. Together with the first two models, they indicate that policies do not directly determine the amount of reduction of CO2 emissions; therefore, neither Pigouvian Tax Theory nor the Coase Theorem can directly lead to reduction of CO2 emissions. These models are applied to and validated in the Chinese thermal electricity generation industry. They indicate that improvement in industrial production technology can lead to the achievement of both the industrial target for CO2 emissions and this industry’s sustainable development. Although the industrial target of CO2 emissions for 2020 was calculated to be achieved early, by 2016, the 2020 national target for China will not be achieved following current practices. Moreover, there is no causal relationship between Chinese economic growth and the amount of CO2 emissions from this industry. Therefore, there is no causal relationship between GDP and the sum of every industry’s CO2 emissions. The development of the models provides the foundation for this study to be used to investigate analytical and managerial methods towards the reduction of carbon emissions and the achievement of sustainable development for industry in a low-carbon economy, and to identify the relationship between economic growth and CO2 emissions. Most importantly, the research methodology constructed here can be applied as a general paradigm for future research and related policymaking regarding an industrial low-carbon economy. Therefore, this study will fulfill the knowledge gaps in the field of industrial low-carbon economy.

Published
2017

19. Evaluation of the International Prognostic Score (IPS‐7) and a Simpler Prognostic Score (IPS‐3) for advanced Hodgkin lymphoma in the modern era

Author

Diefenbach, Catherine S, Li, Hailun, Hong, Fangxin, Gordon, Leo I, Fisher, Richard I, Bartlett, Nancy L, Crump, Michael, Gascoyne, Randy D, Wagner, Henry, Stiff, Patrick J, Cheson, Bruce D, Stewart, Douglas A, Kahl, Brad S, Friedberg, Jonathan W, Blum, Kristie A, Habermann, Thomas M, Tuscano, Joseph M, Hoppe, Richard T, Horning, Sandra J, and Advani, Ranjana H

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Oncology and Carcinogenesis, Patient Safety, Hematology, Clinical Research, Lymphoma, Cancer, Rare Diseases, Age Factors, Antineoplastic Combined Chemotherapy Protocols, Area Under Curve, Bleomycin, Clinical Trials, Phase III as Topic, Dacarbazine, Disease-Free Survival, Doxorubicin, Etoposide, Hodgkin Disease, Humans, Kaplan-Meier Estimate, Mechlorethamine, Multicenter Studies as Topic, Prednisone, Prognosis, Proportional Hazards Models, Randomized Controlled Trials as Topic, Risk Assessment, Risk Factors, Sample Size, Severity of Illness Index, Survival Analysis, Vinblastine, Vincristine, ABVD, Hodgkin lymphoma, International Prognostic Score, Stanford V, prognostic score, Cardiorespiratory Medicine and Haematology, Immunology, Cardiovascular medicine and haematology
Abstract

The International Prognostic Score (IPS-7) is the most commonly used risk stratification tool for advanced Hodgkin lymphoma (HL), however recent studies suggest the IPS-7 is less discriminating due to improved outcomes with contemporary therapy. We evaluated the seven variables for IPS-7 recorded at study entry for 854 patients enrolled on Eastern Cooperative Oncology Group 2496 trial. Univariate and multivariate Cox models were used to assess their prognostic ability for freedom from progression (FFP) and overall survival (OS). The IPS-7 remained prognostic however its prognostic range has narrowed. On multivariate analysis, two factors (age, stage) remained significant for FFP and three factors (age, stage, haemoglobin level) for OS. An alternative prognostic index, the IPS-3, was constructed using age, stage and haemoglobin level, which provided four distinct risk groups [FFP (P = 0·0001) and OS (P

Published
2015

20. Equitable vertex arboricity of graphs

Author

Wu, Jian-Liang, Zhang, Xin, and Li, Hailun

Subjects
Mathematics - Combinatorics, Computer Science - Discrete Mathematics, 05C10, 05C15
Abstract

An equitable $(t,k,d)$-tree-coloring of a graph $G$ is a coloring to vertices of $G$ such that the sizes of any two color classes differ by at most one and the subgraph induced by each color class is a forest of maximum degree at most $k$ and diameter at most $d$. The minimum $t$ such that $G$ has an equitable $(t',k,d)$-tree-coloring for every $t'\geq t$ is called the strong equitable $(k,d)$-vertex-arboricity and denoted by $va^{\equiv}_{k,d}(G)$. In this paper, we give sharp upper bounds for $va^{\equiv}_{1,1}(K_{n,n})$ and $va^{\equiv}_{k,\infty}(K_{n,n})$ by showing that $va^{\equiv}_{1,1}(K_{n,n})=O(n)$ and $va^{\equiv}_{k,\infty}(K_{n,n})=O(n^{\1/2})$ for every $k\geq 2$. It is also proved that $va^{\equiv}_{\infty,\infty}(G)\leq 3$ for every planar graph $G$ with girth at least 5 and $va^{\equiv}_{\infty,\infty}(G)\leq 2$ for every planar graph $G$ with girth at least 6 and for every outerplanar graph. We conjecture that $va^{\equiv}_{\infty,\infty}(G)=O(1)$ for every planar graph and $va^{\equiv}_{\infty,\infty}(G)\leq \lceil\frac{\Delta(G)+1}{2}\rceil$ for every graph $G$.

Published
2012

23. A recombinant rabies virus chimera expressing the DC-targeting molecular MAB2560 shows enhanced vaccine immunogenicity through activation of dendritic cells

Author

Gong, Zhiyuan, primary, Huang, Pei, additional, Jin, Hongli, additional, Bai, Yujie, additional, Li, Hailun, additional, Qian, Meichen, additional, Sun, Jingxuan, additional, Jiao, Cuicui, additional, Zhang, Mengyao, additional, Li, Yuanyuan, additional, Zhang, Haili, additional, and Wang, Hualei, additional

Published
2023
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24. Rituximab maintenance improves overall survival of patients with follicular lymphoma—Individual patient data meta-analysis

Author

Vidal, Liat, Gafter-Gvili, Anat, Salles, Gilles, Bousseta, Sami, Oberman, Bernice, Rubin, Carmit, van Oers, Marinus H.J., Fortpied, Catherine, Ghielmini, Michele, Pettengell, Ruth, Witzens-Harig, Mathias, Dreger, Peter, Vitolo, Umberto, Gomes da Silva, Maria, Evangelista, Andrea, Li, Hailun, Freedman, Laurence, Habermann, Thomas M., and Shpilberg, Ofer

Published
2017
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27. Data from PIK3CA Mutations in In situ and Invasive Breast Carcinomas

Author

Miron, Alexander, primary, Varadi, Maria, primary, Carrasco, Daniel, primary, Li, Hailun, primary, Luongo, Lauren, primary, Kim, Hee Jung, primary, Park, So Yeon, primary, Cho, Eun Yoon, primary, Lewis, Gretchen, primary, Kehoe, Sarah, primary, Iglehart, J. Dirk, primary, Dillon, Deborah, primary, Allred, D. Craig, primary, Macconaill, Laura, primary, Gelman, Rebecca, primary, and Polyak, Kornelia, primary

Published
2023
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28. Supplementary Tables 1-6, Figure 1 from PIK3CA Mutations in In situ and Invasive Breast Carcinomas

Author

Miron, Alexander, primary, Varadi, Maria, primary, Carrasco, Daniel, primary, Li, Hailun, primary, Luongo, Lauren, primary, Kim, Hee Jung, primary, Park, So Yeon, primary, Cho, Eun Yoon, primary, Lewis, Gretchen, primary, Kehoe, Sarah, primary, Iglehart, J. Dirk, primary, Dillon, Deborah, primary, Allred, D. Craig, primary, Macconaill, Laura, primary, Gelman, Rebecca, primary, and Polyak, Kornelia, primary

Published
2023
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34. Plasma Epstein-Barr virus DNA predicts outcome in advanced Hodgkin lymphoma: correlative analysis from a large North American cooperative group trial

Author

Kanakry, Jennifer A., Li, Hailun, Gellert, Lan L., Lemas, M. Victor, Hsieh, Wen-son, Hong, Fangxin, Tan, King L., Gascoyne, Randy D., Gordon, Leo I., Fisher, Richard I., Bartlett, Nancy L., Stiff, Patrick, Cheson, Bruce D., Advani, Ranjana, Miller, Thomas P., Kahl, Brad S., Horning, Sandra J., and Ambinder, Richard F.

Published
2013
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36. Personalized risk prediction for event-free survival at 24 months in patients with diffuse large B-cell lymphoma

Author

Maurer, Matthew J., Jais, Jean-Philippe, Ghesquières, Hervé, Witzig, Thomas E., Hong, Fangxin, Haioun, Corinne, Thompson, Carrie A., Thieblemont, Catherine, Micallef, Ivana N., Porrata, Luis F., Ribrag, Vincent, Nowakowski, Gregorz S., Casasnovas, Olivier, Bologna, Serge, Morschhauser, Franck, Morrison, Vicki A., Peterson, Bruce A., Macon, William R., Copie-Bergman, Christiane, Feldman, Andrew L., Syrbu, Sergei I., Kurtin, Paul J., Gascoyne, Randy D., Li, Hailun, Allmer, Cristine, Kahl, Brad S., Ansell, Stephen M., Slager, Susan L., Link, Brian K., Salles, Gilles, Habermann, Thomas M., Tilly, Hervé, and Cerhan, James R.

Published
2016
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39. Tremella fuciformis polysaccharides ameliorated ulcerative colitis via inhibiting inflammation and enhancing intestinal epithelial barrier function

Author

Xiao, Hongyu, primary, Li, Hailun, additional, Wen, Yifan, additional, Jiang, Dongxu, additional, Zhu, Shumin, additional, He, Xueling, additional, Xiong, Qingping, additional, Gao, Jie, additional, Hou, Shaozhen, additional, Huang, Song, additional, He, Lian, additional, and Liang, Jian, additional

Published
2021
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