Search

Your search keyword '"Hu, Kaifeng"' showing total 302 results
Start Over Author "Hu, Kaifeng"
302 results on '"Hu, Kaifeng"'

12. Bioinformatics and Network Pharmacology Explore the Role of Immune Cells in the Occurrence of Anti-Vascular Endothelial Growth Factor (VEGF) Resistance in Patients with Neovascular Age-Related Macular Degeneration(nAMD) and the Application of Complementary Medicine Treatment

Author

Wang, Mingyan, Li, Hongwei, Wu, Yan, Wang, Bingqi, Xi, Ya, and Hu, Kaifeng

Subjects
MACULAR degeneration, ENDOTHELIAL growth factors, IMMUNOLOGIC memory, AQUEOUS humor, CHINESE medicine
Abstract

Purpose: This study explores the immune cells' role in anti-VEGF resistance in nAMD patients, and the potential of Zi-Yin-Jiang-Huo-Tang (ZYJHT), a Traditional Chinese Medicine formula, as complementary therapy. Methods: Aqueous humor proteomics data from 10 nAMD patients with anti-VEGF resistance and 10 nAMD patients without anti-VEGF resistance were analyzed, investigating immune cells's role in anti-VEGF resistance and its underlying mechanism. Network pharmacology methods are employed to analyze the active ingredients in ZYJHT that contribute to therapeutic effects and their mechanisms. Real-time PCR (polymerase chain reaction) was used to detect changes in the expression of SOD1 (superoxide dismutase 1) after treatment with compounds targeting SOD1 in ARPE-19 cells. Results: nAMD patients with anti-VEGF resistance showed enhancement of biological processes linked to the positive regulation of immune function, along with decreased cellular resistance to oxidative stress. Infiltration of B cells memory, plasma cells, CD8+and γδ-T cells were higher in nAMD patients with anti-VEGF resistance. SOD1 was identified as a hub gene in the occurrence of anti-VEGF resistance and a core therapeutic target of ZYJHT, negatively correlated with B and T cell infiltration. Compounds diosgenin, naringenin, and liquiritin in ZYJHT can bind to SOD1 and upregulating SOD1 expression in ARPE-19 cells. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

14. The Therapeutic Effectiveness of Laparoscopic Sleeve Gastrectomy Among Individuals with Low BMI Obesity (30-35 Kg/m2) and the Relationship of BMI to Weight Loss

Author

Yue,Zilong, Jin,Yan, Sha,Hui, Wu,Qin, Li,Lele, Xia,Yabin, Hu,Kaifeng, Yue,Zilong, Jin,Yan, Sha,Hui, Wu,Qin, Li,Lele, Xia,Yabin, and Hu,Kaifeng

Abstract

Zilong Yue,1,2,&ast; Yan Jin,1,3,&ast; Hui Sha,1,&ast; Qin Wu,1,&ast; Lele Li,1 Yabin Xia,1 Kaifeng Hu1 1Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China; 2General Surgery Department, Guoyang Branch of Anhui Provincial Hospital, Bozhou, Anhui, People’s Republic of China; 3Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Kaifeng Hu, Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, No. 2, Zheshan West Road, Anhui, 241001, People’s Republic of China, Tel +86-13655537677, Email kaifenghu76@163.comPurpose: Investigating the therapeutic efficacy of Laparoscopic Sleeve Gastrectomy (LSG) in low BMI (30– 35 kg/m2) patients with obesity, and exploring the correlation between patients’ preoperative BMI and postoperative weight loss.Methods: Comparing the weight loss, remission of comorbidities, occurrence of complications, and quality of life among the different BMI patients who underwent LSG. Analyzing the relationship between BMI and percentage of excess weight loss (%EWL) by using Spearman correlation analysis and linear regression analysis.Results: The %EWL at 12 months after the surgical procedure was (104.26± 16.41)%, (90.36± 9.98)%, and (78.30± 14.64)% for patients with Class I, II, and III obesity, respectively, P< 0.05. Spearman correlation coefficients between %EWL and BMI at 1, 3, 6, and 12 months after surgery were R=− 0.334 (P< 0.001), R=− 0.389 (P< 0.001), and R=− 0.442 (P< 0.001), R=− 0.641 (P< 0.001), respectively. The remission of hypertension, diabetes and dyslipidaemia did not differ significantly between groups (P> 0.05).Conclusion: Individuals with obesity for varying BMI can experien

Published
2024

15. Research on Statistics Curriculum Reform under the Influence of Public Security Big Data Technology

Author

Hu Kaifeng and Wang Zhelin

Subjects
public security big data, statistics, statistics course, Social Sciences
Abstract

In the use of big data, public security mainly focuses on the key processing of data. Although it is structured, it needs to be used in many aspects. Data processing results and analysis results, but through data processing, can effectively think about the specific implementation methods. Public security data science is becoming a new public security discipline and police technical field. Under the influence of public security big data technology, there are various problems in the development of statistics education and teaching and the design of teaching courses. On the premise of combining the design of statistics-related courses and the development of teaching, this paper makes an in-depth study on the reform of statistics courses under the influence of public security big data technology, and puts forward the reform path of statistics courses. In order to improve the teaching quality of statistics course and cultivate professionals who are more in line with the development of the times.

Published
2023
Full Text
View/download PDF

23. The Therapeutic Effectiveness of Laparoscopic Sleeve Gastrectomy Among Individuals with Low BMI Obesity (30-35 Kg/m2) and the Relationship of BMI to Weight Loss.

Author

Yue, Zilong, Jin, Yan, Sha, Hui, Wu, Qin, Li, Lele, Xia, Yabin, and Hu, Kaifeng

Subjects
WEIGHT loss, SLEEVE gastrectomy, OBESITY, REGRESSION analysis, GASTRIC bypass, LAPAROSCOPIC surgery
Abstract

Purpose: Investigating the therapeutic efficacy of Laparoscopic Sleeve Gastrectomy (LSG) in low BMI (30– 35 kg/m2) patients with obesity, and exploring the correlation between patients' preoperative BMI and postoperative weight loss. Methods: Comparing the weight loss, remission of comorbidities, occurrence of complications, and quality of life among the different BMI patients who underwent LSG. Analyzing the relationship between BMI and percentage of excess weight loss (%EWL) by using Spearman correlation analysis and linear regression analysis. Results: The %EWL at 12 months after the surgical procedure was (104.26± 16.41)%, (90.36± 9.98)%, and (78.30± 14.64)% for patients with Class I, II, and III obesity, respectively, P< 0.05. Spearman correlation coefficients between %EWL and BMI at 1, 3, 6, and 12 months after surgery were R=− 0.334 (P< 0.001), R=− 0.389 (P< 0.001), and R=− 0.442 (P< 0.001), R=− 0.641 (P< 0.001), respectively. The remission of hypertension, diabetes and dyslipidaemia did not differ significantly between groups (P> 0.05). Conclusion: Individuals with obesity for varying BMI can experience favorable outcomes following LSG surgery. It is advisable to consider LSG treatment for patients with Class I obesity. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

31. Hyperinsulinemia Influences the Short-Term Efficiency of Laparoscopic Sleeve Gastrectomy for Patients with Obesity and Insulin Resistance

Author

Yue,Zilong, Qian,Long, Jin,Yan, Xia,Yabin, Sha,Hui, Wu,Qin, and Hu,Kaifeng

Subjects
Diabetes, Metabolic Syndrome and Obesity
Abstract

Zilong Yue,1,&ast; Long Qian,2,&ast; Yan Jin,1,&ast; Yabin Xia,1 Hui Sha,1 Qin Wu,1 Kaifeng Hu1 1Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, People’s Republic of China; 2General Surgery Department, Wuhu Hospital of Traditional Chinese Medicine, Wuhu, Anhui, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Kaifeng Hu, Department of Gastrointestinal Surgery, The First Affiliated Yijishan Hospital of Wannan Medical College, No. 2, Zheshan West Road, Wuhu, Anhui, 241001, People’s Republic of China, Tel +86-13655537677, Email 844572296@qq.comPurpose: The effect of hyperinsulinemia on short-term outcomes after laparoscopic sleeve gastrectomy (LSG) in patients with obesity combined with insulin resistance is unclear.Material and Methods: This was a retrospective analysis of patients who underwent LSG at our center between January 1, 2020, and December 31, 2021. Patients were divided into hyperinsulinemia (HINS) and nonhyperinsulinemia (NHINS) groups based on fasting insulin levels. The primary endpoint was weight change. Metabolic disease outcomes, postoperative complications, and quality of life score changes were secondary endpoints.Results: A total of 92 patients were included in this study, with 59 in the HINS group and 33 in the NHINS group. At 6 months postoperatively, the median (P25, P75) %EWL was 76.01 (64.40, 86.99)% in the HINS group and 92.02 (86.78, 100.88)% in the NHINS group (P< 0.001). The mean %TWL (SD) was 23.26 (7.14)% in the HINS group and 26.80 (6.55)% in the NHINS group (P=0.021). The remission of dyslipidemia and hypertension in the NHINS group and the HINS group were not significantly different (P> 0.05 for all). The differences in QOL between groups were not statistically significant (P=0.788). In terms of postoperative complications, there was no statistically significant difference between the groups (P> 0.05 for all).Conclusion: HINS negatively influences weight change in patients with obesity and insulin resistance, and the NHINS group had better postoperative weight loss. In terms of hypertension, dyslipidemia, and postoperative complications, there was no significant effect of HINS.Keywords: laparoscopic sleeve gastrectomy, hyperinsulinemia, insulin resistance

Published
2023

34. Fungal diversity notes 491–602: taxonomic and phylogenetic contributions to fungal taxa

Author

Tibpromma, Saowaluck, Hyde, Kevin D., Jeewon, Rajesh, Maharachchikumbura, Sajeewa S. N., Liu, Jian-Kui, Bhat, D. Jayarama, Jones, E. B. Gareth, McKenzie, Eric H. C., Camporesi, Erio, Bulgakov, Timur S., Doilom, Mingkwan, de Azevedo Santiago, André Luiz Cabral Monteiro, Das, Kanad, Manimohan, Patinjareveettil, Gibertoni, Tatiana B., Lim, Young Woon, Ekanayaka, Anusha Hasini, Thongbai, Benjarong, Lee, Hyang Burm, Yang, Jun-Bo, Kirk, Paul M., Sysouphanthong, Phongeun, Singh, Sanjay K., Boonmee, Saranyaphat, Dong, Wei, Raj, K. N. Anil, Latha, K. P. Deepna, Phookamsak, Rungtiwa, Phukhamsakda, Chayanard, Konta, Sirinapa, Jayasiri, Subashini C., Norphanphoun, Chada, Tennakoon, Danushka S., Li, Junfu, Dayarathne, Monika C., Perera, Rekhani H., Xiao, Yuanpin, Wanasinghe, Dhanushka N., Senanayake, Indunil C., Goonasekara, Ishani D., de Silva, N. I., Mapook, Ausana, Jayawardena, Ruvishika S., Dissanayake, Asha J., Manawasinghe, Ishara S., Chethana, K. W. Thilini, Luo, Zong-Long, Hapuarachchi, Kalani Kanchana, Baghela, Abhishek, Soares, Adriene Mayra, Vizzini, Alfredo, Meiras-Ottoni, Angelina, Mešić, Armin, Dutta, Arun Kumar, de Souza, Carlos Alberto Fragoso, Richter, Christian, Lin, Chuan-Gen, Chakrabarty, Debasis, Daranagama, Dinushani A., Lima, Diogo Xavier, Chakraborty, Dyutiparna, Ercole, Enrico, Wu, Fang, Simonini, Giampaolo, Vasquez, Gianrico, da Silva, Gladstone Alves, Plautz, Jr., Helio Longoni, Ariyawansa, Hiran A., Lee, Hyun, Kušan, Ivana, Song, Jie, Sun, Jingzu, Karmakar, Joydeep, Hu, Kaifeng, Semwal, Kamal C., Thambugala, Kasun M., Voigt, Kerstin, Acharya, Krishnendu, Rajeshkumar, Kunhiraman C., Ryvarden, Leif, Jadan, Margita, Hosen, Md. Iqbal, Mikšík, Michal, Samarakoon, Milan C., Wijayawardene, Nalin N., Kim, Nam Kyu, Matočec, Neven, Singh, Paras Nath, Tian, Qing, Bhatt, R. P., de Oliveira, Rafael José Vilela, Tulloss, Rodham E., Aamir, S., Kaewchai, Saithong, Marathe, Sayali D., Khan, Sehroon, Hongsanan, Sinang, Adhikari, Sinchan, Mehmood, Tahir, Bandyopadhyay, Tapas Kumar, Svetasheva, Tatyana Yu., Nguyen, Thi Thuong Thuong, Antonín, Vladimír, Li, Wen-Jing, Wang, Yong, Indoliya, Yuvraj, Tkalčec, Zdenko, Elgorban, Abdallah M., Bahkali, Ali H., Tang, Alvin M. C., Su, Hong-Yan, Zhang, Huang, Promputtha, Itthayakorn, Luangsa-ard, Jennifer, Xu, Jianchu, Yan, Jiye, Ji-Chuan, Kang, Stadler, Marc, Mortimer, Peter E., Chomnunti, Putarak, Zhao, Qi, Phillips, Alan J. L., Nontachaiyapoom, Sureeporn, Wen, Ting-Chi, and Karunarathna, Samantha C.

Published
2017
Full Text
View/download PDF

41. Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis

Author

Zhang, Jianhui, Li, Jiao, Hu, Kaifeng, Zhou, Qi, Chen, Xiaoxiao, He, Jinlei, Yin, Shuangshuang, Chi, Yangjian, Liao, Xuechun, Xiao, Yuying, Qin, Hanxiao, Zheng, Zhiwan, and Chen, Jianping

Subjects
Immunology, Immunology and Allergy
Abstract

Visceral leishmaniasis (VL), also known as kala-azar, is the most dangerous form of leishmaniasis. Currently no effective vaccine is available for clinical use. Since the pathogenicity of differentLeishmaniastrains is inconsistent, the differentially expressed proteins inLeishmaniastrains may play an important role as virulence factors in pathogenesis. Therefore, effective vaccine candidate targets may exist in the differentially expressed proteins. In this study, we used differential proteomics analysis to find the differentially expressed proteins in twoLeishmania donovanistrains, and combined with immunoinformatics analysis to find new vaccine candidates. The differentially expressed proteins fromL. DD8 (low virulent) andL. 9044 (virulent) strains were analyzed by LC-MS/MS, and preliminarily screened by antigenicity, allergenicity and homology evaluation. The binding peptides of MHC II, IFN-γ and MHC I from differentially expressed proteins were then predicted and calculated for the second screening. IFN-γ/IL-10 ratios and conserved domain prediction were performed to choose more desirable differentially expressed proteins. Finally, the 3D structures of three vaccine candidate proteins were produced and submitted for molecular dynamics simulation and molecular docking interaction with TLR4/MD2. The results showed that 396 differentially expressed proteins were identified by LC-MS/MS, and 155 differentially expressed proteins were selected through antigenicity, allergenicity and homology evaluation. Finally, 16 proteins whose percentages of MHC II, IFN-γ and MHC I binding peptides were greater than those of control groups (TSA, LmSTI1, LeIF, Leish-111f) were considered to be suitable vaccine candidates. Among the 16 candidates, amino acid permease, amastin-like protein and the hypothetical protein (XP_003865405.1) simultaneously had the large ratios of IFN-γ/IL-10 and high percentages of MHC II, IFN-γ and MHC I, which should be focused on. In conclusion, our comprehensive work provided a methodological basis to screen new vaccine candidates for a better intervention against VL and associated diseases.

Published
2022
Full Text
View/download PDF

42. Non-Intrusive Load Identification Method Based on KPCA-IGWO-RF.

Author

Hu, Sheng, Yuan, Gongjin, Hu, Kaifeng, Liu, Cong, and Wu, Minghu

Subjects
PRINCIPAL components analysis, RANDOM forest algorithms, ELECTRIC power consumption, DATA reduction, IDENTIFICATION
Abstract

Non-invasive load monitoring (NILM) represents a crucial technology in enabling smart electricity consumption. In response to the challenges posed by high feature redundancy, low identification accuracy, and the high computational costs associated with current load identification models, a novel load identification model based on kernel principal component analysis (KPCA) and random forest (RF) optimized by improved Grey Wolf Optimizer (IGWO) is proposed. Initially, 17 steady-state load characteristics were selected as discrimination indexes. KPCA was subsequently employed to reduce the dimension of the original data and diminish the correlation between the feature indicators. Then, the dimension reduction in load data was classified by RF. In order to improve the performance of the classifier, IGWO was used to optimize the parameters of the RF classifier. Finally, the proposed model was implemented to identify 25 load states consisting of seven devices. The experimental results demonstrate that the identification accuracy of this method is up to 96.8% and the Kappa coefficient is 0.9667. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

44. Discovery of a Novel Small-Molecule Inhibitor Disrupting TRBP–Dicer Interaction against Hepatocellular Carcinoma via the Modulation of microRNA Biogenesis

Author

Peng, Ting, primary, He, Yujiao, additional, Wang, Tao, additional, Yu, Jialing, additional, Ma, Xiaofang, additional, Zhou, Zongyuan, additional, Sheng, Yuwen, additional, Li, Lingyu, additional, Peng, Huipan, additional, Li, Sheng, additional, Zou, Jiawei, additional, Yuan, Yi, additional, Zhao, Yongyun, additional, Shi, Hailong, additional, Li, Fu, additional, Liu, Wanli, additional, Hu, Kaifeng, additional, Lu, Xiaoxia, additional, Zhang, Guolin, additional, and Wang, Fei, additional

Published
2022
Full Text
View/download PDF

45. Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean

Author

Zhang, Yong, primary, Song, Jiling, additional, Wang, Lei, additional, Yang, Mengping, additional, Hu, Kaifeng, additional, Li, Weiwei, additional, Sun, Xuhong, additional, Xue, Hong, additional, Dong, Quanzhong, additional, Zhang, Mingming, additional, Lou, Shubao, additional, Yang, Xingyong, additional, Du, Hao, additional, Li, Yongli, additional, Dong, Lidong, additional, Che, Zhijun, additional, and Cheng, Qun, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results