Zobrazeno 1 - 10
of 309
pro vyhledávání: '"ZhangSuo Liu"'
Publikováno v:
Nutrition & Diabetes, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Background Diabetic kidney disease (DKD) is the major complication of diabetes concomitant with gut dysbiosis and glycometabolic disorder, which are strongly associated with bile acid (BA) metabolism. Yet studies investigating the BA metabol
Externí odkaz:
https://doaj.org/article/c7d2091ef32440ebaa0c727b257ed11c
Autor:
Qing Zhang, Zhiying Qin, Qiang Wang, Liqian Lu, Jiao Wang, Manman Lu, Pei Wang, Dongwei Liu, Chunyu Zhou, Zhangsuo Liu
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 179, Iss , Pp 117329- (2024)
ZCL-278 is a selective small molecule specifically inhibiting the Cdc42-intersectin interaction, yet its in-vivo pharmacokinetic and pharmacodynamic properties against renal diseases had not been determined. Thus, our study explored the absorption, d
Externí odkaz:
https://doaj.org/article/12eeb13c6e404e83ab64192a3050775b
Autor:
Peipei Li, Duopin Li, Yanfang Lu, Shaokang Pan, Fei Cheng, Shen Li, Xiaonan Zhang, Jinling Huo, Dongwei Liu, Zhangsuo Liu
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionCisplatin is a widely used chemotherapeutic agent prescribed to treat solid tumors. However, its clinical application is limited because of cisplatin- induced nephrotoxicity. A known complication of cisplatin is acute kidney injury (AKI).
Externí odkaz:
https://doaj.org/article/c60f7cd6aba04615871989fa65420dfc
Autor:
Shiyang Li, Qiuxia Han, Chang Liu, Yixue Wang, Fengxun Liu, Shaokang Pan, Lihua Zuo, Dan Gao, Kai Chen, Qi Feng, Zhangsuo Liu, Dongwei Liu
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Chronic kidney disease (CKD) has historically been a significant global health concern, profoundly impacting both life and well-being. In the process of CKD, with the gradual loss of renal function, the incidence of various life-threatening
Externí odkaz:
https://doaj.org/article/521051e9f4ad4d4d98d001924e018906
Autor:
Zihao Zhao, Qianqian Yan, Junwei Xie, Zhenjie Liu, Fengxun Liu, Yong Liu, Sijie Zhou, Shaokang Pan, Dongwei Liu, Jiayu Duan, Zhangsuo Liu
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 16, Iss 1, Pp 1-24 (2024)
Abstract Aim Cannabinoid receptors are components of the endocannabinoid system that affect various physiological functions. We aim to investigate the effect of cannabinoid receptor modulation on kidney disease. Methods PubMed, Web of Science databas
Externí odkaz:
https://doaj.org/article/70ec542f12fd451fb1049ebf1c148114
Autor:
Xi Gu, Yindi Dong, Xuemei Wang, Zhigang Ren, Guanhua Li, Yaxin Hao, Jian Wu, Shiyuan Guo, Yajuan Fan, Hongyan Ren, Chao Liu, Suying Ding, Weikang Li, Ge Wu, Zhangsuo Liu
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
This study aimed to identify biomarkers for chronic kidney disease (CKD) by studying serum metabolomics. Serum samples were collected from 194 non-dialysis CKD patients and 317 healthy controls (HC). Using ultra-high-performance liquid chromatography
Externí odkaz:
https://doaj.org/article/2f7f56e56a4c406696cde90b6df6fe4d
Autor:
Yingman Guo, Sufang Shi, Jinghong Zhao, Caili Wang, Zhangsuo Liu, Shuxia Fu, Nan Chen, Guisen Li, Lihua Wang, Zhaohui Ni, Haitao Zhang, Lingyun Lai, Jicheng Lv, Hong Zhang
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
Background During the run-in phase of the TESTING study, approximately half of patients with IgA nephropathy (IgAN) were excluded due to proteinuria below 1 g/24 h after intensive supportive therapy. The long-term prognosis of these patients needs fu
Externí odkaz:
https://doaj.org/article/af1bfe26c31547d9a0f8a9e307fe24e5
Publikováno v:
Renal Failure, Vol 46, Iss 1 (2024)
The mechanisms underlying the complex correlation between immunoglobulin A nephropathy (IgAN) and inflammatory bowel disease (IBD) remain unclear. This study aimed to identify the optimal cross-talk genes, potential pathways, and mutual immune-infilt
Externí odkaz:
https://doaj.org/article/d2723c1612214afa8b0eeefec0968d03
Autor:
Guangpu Li, Jia Li, Fei Tian, Jingjing Ren, Zuishuang Guo, Shaokang Pan, Dongwei Liu, Jiayu Duan, Zhangsuo Liu
Publikováno v:
Digital Health, Vol 10 (2024)
Objective As the prevalence of diabetes steadily increases, the burden of diabetic kidney disease (DKD) is also intensifying. In response, we have utilized a 10-year diabetes cohort from our medical center to train machine learning-based models for p
Externí odkaz:
https://doaj.org/article/b89dcede5aaa42e1b73c602623af0257
Publikováno v:
Genes and Diseases, Vol 11, Iss 4, Pp 101119- (2024)
Diabetic kidney disease is a leading cause of end-stage renal disease, making it a global public health concern. The molecular mechanisms underlying diabetic kidney disease have not been elucidated due to its complex pathogenesis. Thus, exploring the
Externí odkaz:
https://doaj.org/article/14d7e728295348d19145789d2eb81920