👤 Guangfeng Zhao

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Also published as: A N Zhao, Ahui Zhao, Ai Zhao, Aihua Zhao, Aimin Zhao, Andrea Zhao, Andrew J Zhao, Anna Zhao, Aonan Zhao, B Zhao, Bangzhe Zhao, Baolin Zhao, Baosheng Zhao, Baoyu Zhao, Bei Zhao, Bei-Bei Zhao, Beibei Zhao, Beichuan Zhao, Bi Zhao, Bin Zhao, Bing-Qian Zhao, Bingcong Zhao, Binggong Zhao, Binghai Zhao, Bingli Zhao, Bingru Zhao, Bishi Zhao, Bo Zhao, Bo-Wen Zhao, Caifeng Zhao, Caiping Zhao, Caiqi Zhao, Chang Zhao, Changle Zhao, Changqing Zhao, Changsheng Zhao, Changzhi Zhao, Chao Zhao, Chaofen Zhao, Chaoyue Zhao, Chen Zhao, Chen-Guang Zhao, Chen-Liang Zhao, Chen-Xi Zhao, Chenchen Zhao, Cheng Zhao, Cheng-Long Zhao, Chengcheng Zhao, Chengjian Zhao, Chengjun Zhao, Chengrui Zhao, Chengshui Zhao, Chenming Zhao, Chenxu Zhao, Chenye Zhao, Chuan Zhao, Chuan-Zhi Zhao, Chuanqi Zhao, Chun Yu Zhao, Chun-Hui Zhao, Chunjie Zhao, Chunli Zhao, Chunqing Zhao, Chunrong Zhao, Chuntao Zhao, Chunyan Zhao, Chuo Zhao, Cong Zhao, Cuifen Zhao, Cuimei Zhao, Cuiqing Zhao, Cun Zhao, D C Zhao, Dan Zhao, Dandan Zhao, Danping Zhao, Danrui Zhao, Danyang Zhao, Daqing Zhao, Dawang Zhao, Dawen Zhao, Dechang Zhao, Defeng Zhao, Dekuang Zhao, Dengyun Zhao, Deping Zhao, Di Zhao, Dingmeng Zhao, Dingwei Zhao, Dingying Zhao, Dong Zhao, Dong-Dong Zhao, Dongbao Zhao, Dongfeng Zhao, Dongmei Zhao, Dongping Zhao, En-chun Zhao, Ende Zhao, F Zhao, Fan Zhao, Fang Zhao, Fangfang Zhao, Fangjue Zhao, Fangli Zhao, Fangping Zhao, Fangyi Zhao, Fangyu Zhao, Faye Zhao, Fei Zhao, Feibo Zhao, Feipeng Zhao, Feitao Zhao, Feng Zhao, Fengbo Zhao, Fengdi Zhao, Fenghui Zhao, Fengshu Zhao, Fu-Ying Zhao, Fuping Zhao, Fuyu Zhao, Gaichao Zhao, Gang Zhao, Gaofeng Zhao, Ge-Xin Zhao, Gengxiang Zhao, Guang-Hui Zhao, Guanghao Zhao, Guanghui Zhao, Guangqiang Zhao, Guangshan Zhao, Guangyuan Zhao, Gui Zhao, Guifang Zhao, Guihu Zhao, Guile Zhao, Guiping Zhao, Guizhen Zhao, Guo-Jun Zhao, Guoqing Zhao, Guorui Zhao, Guozhi Zhao, Haifeng Zhao, Hailing Zhao, Haiquan Zhao, Hairong Zhao, Haixin Zhao, Haiyan Zhao, Haizhou Zhao, Han Zhao, Hanhan Zhao, Hanjun Zhao, Hanqing Zhao, Hao Zhao, Haonan Zhao, Haoyan Zhao, He Zhao, Heng Zhao, Hengxia Zhao, Hong Zhao, Hong-Bo Zhao, Hong-Yang Zhao, Hong-Ye Zhao, Hongbin Zhao, Hongbo Zhao, Hongda Zhao, Hongfeng Zhao, Honghui Zhao, Hongli Zhao, Hongling Zhao, Hongmei Zhao, Hongmeng Zhao, Hongqi Zhao, Hongqing Zhao, Hongwei Zhao, Hongxia Zhao, Hongyan Zhao, Hongyi Zhao, Hongying Zhao, Hongyu Zhao, Houyu Zhao, Hu Zhao, Hua Zhao, Huadong Zhao, Huakan Zhao, Huan Zhao, Huan-Yu Zhao, Huanxin Zhao, Huanyu Zhao, Huaqing Zhao, Huashan Zhao, Huaying Zhao, Hui Zhao, Hui-Hui Zhao, Huihan Zhao, Huiijin Zhao, Huili Zhao, Huilin Zhao, Huiling Zhao, Huishou Zhao, Huiying Zhao, Huiyong Zhao, J H Zhao, J V Zhao, J Zhao, J-F Zhao, Jean J Zhao, Ji Zhao, Ji-Meng Zhao, Ji-jun Zhao, Jia Zhao, Jia-Li Zhao, Jia-Mu Zhao, Jia-Xuan Zhao, Jia-Yi Zhao, Jia-jun Zhao, Jiabin Zhao, Jiajing Zhao, Jiale Zhao, Jialin Zhao, Jian Zhao, Jian-Yuan Zhao, Jian-hua Zhao, Jianan Zhao, Jiang Zhao, Jiangchao Zhao, Jiangpei Zhao, Jianguo Zhao, Jianhong Zhao, Jianhua Zhao, Jianjun Zhao, Jianrong Zhao, Jianwen Zhao, Jianxin Zhao, Jianzhi Zhao, Jiao Zhao, Jiaxuan Zhao, Jichen Zhao, Jie V Zhao, Jie Zhao, Jie-Dong Zhao, Jie-Jun Zhao, Jiexiang Zhao, Jiexiu Zhao, Jieyu Zhao, Jieyun Zhao, Jikai Zhao, Jin Zhao, Jin-Feng Zhao, Jin-Ming Zhao, Jinbo Zhao, Jincun Zhao, Jinfang Zhao, Jing Hau Zhao, Jing Hua Zhao, Jing Zhao, Jing-Cheng Zhao, Jing-Feng Zhao, Jing-Jing Zhao, Jing-Yi Zhao, Jing-Yu Zhao, JingLi Zhao, JingTing Zhao, Jingbo Zhao, Jingjie Zhao, Jingjing Zhao, Jingkun Zhao, Jinglin Zhao, Jingru Zhao, Jingtai Zhao, Jingtong Zhao, Jingya Zhao, Jingyi Zhao, Jingying Zhao, Jingyuan Zhao, Jinjing Zhao, Jinlan Zhao, Jinmin Zhao, Jinpeng Zhao, Jinping Zhao, Jinshan Zhao, Jinsheng Zhao, Jinwen Zhao, Jinyao Zhao, Jiong-Yao Zhao, Jiwei Zhao, Jizong Zhao, Juan Zhao, Juanjuan Zhao, Jue Zhao, Jun Zhao, Jun-Hui Zhao, Junfeng Zhao, Junhong Zhao, Junjie Zhao, Junkang Zhao, Junli Zhao, Junqin Zhao, Junzhang Zhao, Kai Zhao, Kaidong Zhao, Kaihui Zhao, Kaikai Zhao, Kaiyue Zhao, Kake Zhao, Kangqi Zhao, Ke Zhao, Ke-Xin Zhao, Keji Zhao, Keni Zhao, Keqin Zhao, Kewen Zhao, Kun Zhao, L Zhao, Lan Zhao, Lanhua Zhao, Le Zhao, Lei Zhao, Leyang Zhao, Leying Zhao, Li Feng Zhao, Li Zhao, Li-Bo Zhao, Li-Feng Zhao, Li-Hua Zhao, Li-Li Zhao, Li-Mei Zhao, Li-ke Zhao, Lianfang Zhao, Liang Zhao, Liang-gong Zhao, Liangyu Zhao, Lianhua Zhao, Lianmei Zhao, Liansheng Zhao, Lichun Zhao, Lihua Zhao, Lijia Zhao, Lijian Zhao, Lijuan Zhao, Lijun Zhao, Lili Zhao, Limei Zhao, Liming Zhao, Lin Yi Zhao, Lin Zhao, Lina Zhao, Ling Zhao, Ling-Ling Zhao, Lingling Zhao, Lingqiang Zhao, Lingrui Zhao, Linhai Zhao, Linhua Zhao, Linlin Zhao, Liping Zhao, Liqin Zhao, Liwei Zhao, Long Zhao, Longhe Zhao, Lu Zhao, Lujun Zhao, Lun Zhao, Luo-Sha Zhao, Luqi Zhao, Luyao Zhao, M Zhao, Mai Zhao, Mei Zhao, Meifang Zhao, Meiqi Zhao, Meng Zhao, Mengjia Zhao, Mengjie Zhao, Mengmeng Zhao, Mengshu Zhao, Mengxi Zhao, Mengya Zhao, Michelle Zhao, Min Zhao, Mindi Zhao, Ming Zhao, Ming-Gao Zhao, Ming-Tao Zhao, Mingjing Zhao, Mingjun Zhao, Mingming Zhao, Mingwei Zhao, Mingyue Zhao, Mo Zhao, Moze Zhao, N Zhao, Na Zhao, Na-Na Zhao, Nan Zhao, Ning Zhao, Ningkang Zhao, Pandeng Zhao, Peijun Zhao, Peinan Zhao, Peipei Zhao, Peishen Zhao, Peng Zhao, Pengjun Zhao, Ping Zhao, Pingfan Zhao, Pu Zhao, Qi Zhao, Qian Zhao, Qiancheng Zhao, Qianhua Zhao, Qianjun Zhao, Qianyi Zhao, Qihan Zhao, Qilin Zhao, Qin Zhao, Qin-Shi Zhao, Qinfei Zhao, Qing Zhao, Qing-Chun Zhao, Qing-Li Zhao, Qingbo Zhao, Qingchun Zhao, Qinghe Zhao, Qingqing Zhao, Qingshi Zhao, Qingwen Zhao, Qingzuo Zhao, Qiong Zhao, Qiongxian Zhao, Qiongyi Zhao, Qiqi Zhao, Qitao Zhao, Qiuyue Zhao, Quan Zhao, Quanzhen Zhao, Ran Zhao, Ranran Zhao, Ranzun Zhao, Ren Zhao, Renfeng Zhao, Renjia Zhao, Richard L Zhao, Rong Jie Zhao, Rong Zhao, Rui Zhao, Ruidan Zhao, Ruiqi Zhao, Ruixuan Zhao, Ruizhen Zhao, Runming Zhao, Ruohan Zhao, Ruojin Zhao, Ruxun Zhao, Ruyi Zhao, S H Zhao, S S Zhao, S-P Zhao, Sha Zhao, Shan-Shan Zhao, Shane R Zhao, Shanshan Zhao, Shanzhi Zhao, Shao-Zhen Zhao, Shaorong Zhao, Shaoyang Zhao, Sheng Zhao, Shengguo Zhao, Shengjun Zhao, Shenjun Zhao, Shi Zhao, Shi-Min Zhao, Shigang Zhao, Shihua Zhao, Shiji Zhao, Shimiao Zhao, Shitian Zhao, Shiwei Zhao, Shu-Ning Zhao, Shuai Zhao, Shuang Zhao, Shuang-Qiao Zhao, Shuangshuang Zhao, Shuangxia Zhao, Shuanping Zhao, Shufen Zhao, Shui-ping ZHAO, Shuiping Zhao, Shujuan Zhao, Shuliang Zhao, Shunying Zhao, Shuqiang Zhao, Shuxuan Zhao, Shuyue Zhao, Shuzhen Zhao, Shuzhi Zhao, Si-Jia Zhao, Sihai Zhao, Siqi Zhao, Sitong Zhao, Siyuan Zhao, Song Zhao, Song-Song Zhao, Songchen Zhao, Songping Zhao, Steven Zhao, Suonan Zhao, Suwen Zhao, T C Zhao, Tanjun Zhao, Tian Zhao, Tian-Yu Zhao, Tiancheng Zhao, Tianjing Zhao, Tianna Zhao, Tianyang Zhao, Tianyong Zhao, Tianyu Zhao, Tieqiang Zhao, Tiesuo Zhao, Ting C Zhao, Ting Zhao, Tingrui Zhao, Tingting Zhao, Tong Zhao, Tongfeng Zhao, W S Zhao, W Zhao, W-C Zhao, Wang ZHAO, Wang-Sheng Zhao, Wanglin Zhao, Wangsheng Zhao, Wanni Zhao, Wanqiu Zhao, Wanting Zhao, Wanxin Zhao, Wei Zhao, Wei-Li Zhao, Wei-Qian Zhao, Weichao Zhao, Weifeng Zhao, Weikun Zhao, Weimin Zhao, Weina Zhao, Weipeng Zhao, Weiqi Zhao, Weisong Zhao, Weiwei Zhao, Weixin Zhao, Weiyu Zhao, Weiyue Zhao, Wen Zhao, Wen-Ning Zhao, Wen-qiu Zhao, Wencai Zhao, Wenchen Zhao, Wenhong Zhao, Wenhua Zhao, Wenjing Zhao, Wenjuan Zhao, Wenjun Zhao, Wenming Zhao, Wenpeng Zhao, Wenshan Zhao, Wenshu Zhao, Wensi Zhao, Wenting Zhao, Wenxin Zhao, Wenxu Zhao, Wenye Zhao, Wenyu Zhao, Wenyuan Zhao, Wukui Zhao, X S Zhao, X Zhao, Xi Zhao, Xi-Yu Zhao, Xia Zhao, Xian Zhao, Xiang Zhao, Xiang-Hui Zhao, Xiangdong Zhao, Xiangge Zhao, Xianghu Zhao, Xianglong Zhao, Xiangqin Zhao, Xiao Zhao, Xiao-Fan Zhao, Xiao-Fang Zhao, Xiao-Jie Zhao, Xiao-Jing Zhao, Xiao-Ning Zhao, Xiao-Yu Zhao, XiaoQing Zhao, Xiaodong Zhao, Xiaoduo Zhao, Xiaofang Zhao, Xiaofei Zhao, Xiaoguang Zhao, Xiaohan Zhao, Xiaohang Zhao, Xiaohong Zhao, Xiaohui Zhao, Xiaojun Zhao, Xiaoli Zhao, Xiaoling Zhao, Xiaoming Zhao, Xiaopei Zhao, Xiaopeng Zhao, Xiaoqiang Zhao, Xiaoqin Zhao, Xiaowen Zhao, Xiaoxi Zhao, Xiaoyan Zhao, Xiaoyang Zhao, Xiaoyao Zhao, Xiaoyu Zhao, Xiaoyuan Zhao, Xiaoyun Zhao, Xiaozhi Zhao, Xibao Zhao, Xilin Zhao, Xin Zhao, Xin-Yuan Zhao, Xincheng Zhao, Xing Zhao, Xing-Bo Zhao, Xingang Zhao, Xingbo Zhao, Xingsen Zhao, Xinguo Zhao, Xingwang Zhao, Xingyi Zhao, Xingyu Zhao, Xinhan Zhao, Xinhui Zhao, Xinjie Zhao, Xinlei Zhao, Xinming Zhao, Xinrui Zhao, Xinyang Zhao, Xinying Zhao, Xinyu Zhao, Xinyue Zhao, Xinzhi Zhao, Xipeng Zhao, Xitong Zhao, Xiu-Ju Zhao, Xiujuan Zhao, Xiuli Zhao, Xiumei Zhao, Xiumin Zhao, Xiurong Zhao, Xiutao Zhao, Xiuxin Zhao, Xiuyun Zhao, Xu Zhao, Xu-Zi Zhao, Xuan Zhao, Xudong Zhao, Xue-Li Zhao, Xue-Qiao Zhao, Xueli Zhao, Xueqing Zhao, Xuerong Zhao, Xuesong Zhao, Xueying Zhao, Xuli Zhao, Xunying Zhao, Y U Zhao, Y Z Zhao, Y Zhao, Ya Zhao, Yafei Zhao, Yahui Zhao, Yajie Zhao, Yali Zhao, Yan G Zhao, Yan Ting Zhao, Yan Zhao, Yan-Hong Zhao, Yan-Lin Zhao, Yan-Ni Zhao, Yanan Zhao, Yanbin Zhao, Yandong Zhao, Yanfei Zhao, Yang Zhao, Yangang Zhao, Yangqi Zhao, Yanhong Zhao, Yanhua Zhao, Yanhui Zhao, Yanli Zhao, Yanna Zhao, Yanni Zhao, Yanrong Zhao, Yanxiang Zhao, Yanyan Zhao, Yanyu Zhao, Yao Zhao, Yating Zhao, Yawei Zhao, Ye Zhao, Yeli Zhao, Yi Zhao, Yi-Fan Zhao, Yichao Zhao, Yifan Zhao, Yifang Zhao, Yiheng Zhao, Yijing Zhao, Yijun Zhao, Yikun Zhao, Yilin Zhao, Yiming Zhao, Yimu Zhao, Yin Zhao, Ying Ming Zhao, Ying Xin Zhao, Ying Zhao, Ying-Peng Zhao, Ying-Zheng Zhao, Yingchao Zhao, Yingdong Zhao, Yingmin Zhao, Yingming Zhao, Yingpeng Zhao, Yingqi Zhao, Yingxin Zhao, Yingying Zhao, Yingzheng Zhao, Yinlong Zhao, Yiqiang Zhao, Yisha Zhao, Yiwei Zhao, Yixia Zhao, Yixiu Zhao, Yixuan Zhao, Yixue Zhao, Yiyang Zhao, Yiyi Zhao, Yizhen Zhao, Yong Zhao, Yong-Liang Zhao, Yong-fang Zhao, Yongchao Zhao, Yongfei Zhao, Yongjian Zhao, Yongju Zhao, Yonglin Zhao, Yonglong Zhao, Yongqi Zhao, Yongqin Zhao, Yongting Zhao, Yongxia Zhao, Yongxiang Zhao, Yu Zhao, Yu-Cong Zhao, Yu-Lin Zhao, Yu-Xia Zhao, Yu-pei Zhao, Yuan Zhao, Yuan-Yuan Zhao, Yuanhui Zhao, Yuanji Zhao, Yuanjin Zhao, Yuanyin Zhao, Yuanyuan Zhao, Yuanzhi Zhao, Yubai Zhao, Yubo Zhao, Yuchen Zhao, Yudan Zhao, Yudi Zhao, Yue Zhao, Yue-Chao Zhao, Yuee Zhao, Yuehan Zhao, Yueyang Zhao, Yueying Zhao, Yufan Zhao, Yufei Zhao, Yuhang Zhao, Yuhong Zhao, Yuhui Zhao, Yujiao Zhao, Yujie Zhao, Yukui Zhao, Yulong Zhao, Yun Zhao, Yun-Li Zhao, Yun-Tao Zhao, Yunbo Zhao, Yunchao Zhao, Yunli Zhao, Yunwang Zhao, Yuqi Zhao, Yurong Zhao, Yuru Zhao, Yusen Zhao, Yuting Zhao, Yutong Zhao, Yuwen Zhao, Yuxi Zhao, Yuxia Zhao, Yuxiao Zhao, Yuxin Zhao, Yuyang Zhao, Yuzhen Zhao, Yuzheng Zhao, Z Zhao, Zaixu Zhao, Zanmei Zhao, Ze Hua Zhao, Ze-Hua Zhao, Ze-Run Zhao, Ze-Yu Zhao, Zeng-Ren Zhao, Zengqi Zhao, Zexi Zhao, Zhan Zhao, Zhanzheng Zhao, Zhao Zhao, Zhe Yu Zhao, Zhe Zhao, Zhen Zhao, Zhen-Long Zhao, Zhen-Wang Zhao, Zheng Zhao, Zhengjiang Zhao, Zhengyan Zhao, Zhenhua Zhao, Zhenlin Zhao, Zhensheng Zhao, Zhenyu Zhao, Zhi-Kun Zhao, Zhibo Zhao, Zhichao Zhao, Zhicong Zhao, Zhigang Zhao, Zhihao Zhao, Zhihe Zhao, Zhihui Zhao, Zhijian Zhao, Zhikang Zhao, Zhikun Zhao, Zhiming Zhao, Zhipeng Zhao, Zhiqiang Zhao, Zhiwei Zhao, Zhiying Zhao, Zhiyun Zhao, Zhongming Zhao, Zhongquan Zhao, Zhongxin Zhao, Zhuoyan Zhao, Zifeng Zhao, Zihan Zhao, Zihe Zhao, Zijia Zhao, Zijie Zhao, Zijin Zhao, Ziqi Zhao, Ziqin Zhao, Zirui Zhao, Zitong Zhao, Ziyi Zhao, Ziyu Zhao, Zongjiang Zhao, Zongren Zhao, Zongsheng Zhao, Zuhang Zhao
articles
Astrid Lissette Barreto Sánchez, Qiao Wang, Mamadou Thiam +7 more · 2022 · Genes · MDPI · added 2026-04-24
Heat stress is one of the most prevalent issues in poultry production that reduces performance, robustness, and economic gains. Previous studies have demonstrated that native chickens are more toleran Show more
Heat stress is one of the most prevalent issues in poultry production that reduces performance, robustness, and economic gains. Previous studies have demonstrated that native chickens are more tolerant of heat than commercial breeds. However, the underlying mechanisms of the heat tolerance observed in native chicken breeds remain unelucidated. Therefore, we performed a phenotypical, physiological, liver transcriptome comparative analysis and WGCNA in response to heat stress in one native (Beijing You, BY) and one commercial (Guang Ming, GM) chicken breed. The objective of this study was to evaluate the heat tolerance and identify the potential driver and hub genes related to heat stress in these two genetically distinct chicken breeds. In brief, 80 BY and 60 GM, 21 days old chickens were submitted to a heat stress experiment for 5 days (33 °C, 8 h/day). Each breed was divided into experimental groups of control (Ctl) and heat stress (HS). The results showed that BY chickens were less affected by heat stress and displayed reduced DEGs than GM chickens, 365 DEGs and 382 DEGs, respectively. The transcriptome analysis showed that BY chickens exhibited enriched pathways related to metabolism activity, meanwhile GM chickens' pathways were related to inflammatory reactions. Show less
📄 PDF DOI: 10.3390/genes13030416
ANGPTL4
Guangran Guo, Longjun Yang, Yingsheng Wen +7 more · 2022 · Annals of translational medicine · added 2026-04-24
The tumor immune environment plays a critical role in lung cancer initiation and prognosis. Therefore, understanding how the tumor immune environment impacts the overall survival (OS) of patients with Show more
The tumor immune environment plays a critical role in lung cancer initiation and prognosis. Therefore, understanding how the tumor immune environment impacts the overall survival (OS) of patients with advanced lung cancer post immunotherapy is of great importance. In this article, we aimed to identify the immune components of lung cancer and develop an immune prognostic signature to predict OS. Differentially expressed immune-related genes were calculated between tumor and normal tissues using expression data from The Cancer Genome Atlas (TCGA) database. Then univariate Cox regression analysis was conducted to select prognosis-related genes and the prognostic risk model was constructed by multivariate Cox regression analysis. Patient risk scores were calculated, and a clinical correlation analysis was performed within the risk model. In addition, immune cell infiltration patterns were identified to find the immune cell subtypes related to prognosis. A gene model consisting of 12 immune-related genes was used as our signature. The model showed that the high-risk group experienced a shorter survival time, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.733. High-risk immune genes, such as S100 calcium binding protein A16 ( The signature developed in this paper could be an effective model for estimating OS in lung cancer patients, and the immune cell infiltration analysis of the tumor immune microenvironment could shed light on more effective treatment in clinical practice. Show less
📄 PDF DOI: 10.21037/atm-21-6043
ANGPTL4
Jiejie Li, Xin Xu, Suyan Fei +4 more · 2022 · Stem cells international · added 2026-04-24
We isolated primary CFs from Sprague-Dawley rats (1-3 days old) and treated them with lipopolysaccharide (LPS) and LPS+sEVs. RNA sequencing analysis revealed that angiopoietin-like 4 (Angptl4) was inc Show more
We isolated primary CFs from Sprague-Dawley rats (1-3 days old) and treated them with lipopolysaccharide (LPS) and LPS+sEVs. RNA sequencing analysis revealed that angiopoietin-like 4 (Angptl4) was increased in the LPS+sEVs group more than in the LPS group. After inhibition of Angptl4 expression in sEVs and CFs, cell proliferation, Transwell migration, and tube formation assays were used to detect the angiogenic activity of human umbilical vein endothelial cells. The sEVs regulated CFs to promote angiogenesis via Angptl4 in an inflammatory environment. This may provide a research basis for treating myocardial injury with sEVs. Show less
📄 PDF DOI: 10.1155/2022/3229289
ANGPTL4
Jing-Jing Tang, Guang-Xi Li, Zhi-Guo Liu +5 more · 2022 · Chinese journal of integrative medicine · Springer · added 2026-04-24
To detect whether Danlou Tablet (DLT) regulates the hypoxia-induced factor (HIF)-1α-angiopoietin-like 4 (Angptl4) mRNA signaling pathway and explore the role of DLT in treating chronic intermittent hy Show more
To detect whether Danlou Tablet (DLT) regulates the hypoxia-induced factor (HIF)-1α-angiopoietin-like 4 (Angptl4) mRNA signaling pathway and explore the role of DLT in treating chronic intermittent hypoxia (CIH)-induced dyslipidemia and arteriosclerosis. The mature adipocytes were obtained from 3T3-L1 cell culturation and allocated into 8 groups including control groups (Groups 1 and 5, 0.1 mL of cell culture grade water); DLT groups (Groups 2 and 6, 0.1 mL of 1,000 µg/mL DLT submicron powder solution); dimethyloxalylglycine (DMOG) groups (Groups 3 and 7, DMOG and 0.1 mL of cell culture grade water); DMOG plus DLT groups (Groups 4 and 8, DMOG and 0.1 mL of 1,000 µg/mL DLT submicron powder solution). Groups 1-4 used mature adipocytes and groups 5-8 used HIF-1 α-siRNA lentivirus-transfected mature adipocytes. After 24-h treatment, real-time polymerase chain reaction and Western blot were employed to determine the mRNA and protein expression levels of HIF-1 α and Angptl4. In animal experiments, the CIH model in ApoE Angptl4 expression was dependent on HIF-1 α, with a reduction in mRNA expression and no response in protein level to DMOG or DLT treatment in relation to siHIF-1 α -transfected cells. DLT inhibited HIF-1 α and Angptl4 mRNA expression (P<0.05 or P<0.01) and reduced HIF-1 α and Angptl4 protein expressions with DMOG in mature adipocytes (all P<0.01), as the effect on HIF-1 α protein also existed in the presence of siHIF-1 α (P<0.01). ApoE DLT had positive effects in improving dyslipidemia and arteriosclerosis by inhibiting Angptl4 protein level through HIF-1 α-Angptl4 mRNA signaling pathway. Show less
no PDF DOI: 10.1007/s11655-020-3255-8
ANGPTL4
Wan-Hong Li, Li Zhang, Yue-Ying Li +6 more · 2022 · International journal of molecular sciences · MDPI · added 2026-04-24
Alcohol abuse can lead to alcoholic hepatitis (AH), a worldwide public health issue with high morbidity and mortality. Here, we identified apolipoprotein A-IV (APOA4) as a biomarker and potential ther Show more
Alcohol abuse can lead to alcoholic hepatitis (AH), a worldwide public health issue with high morbidity and mortality. Here, we identified apolipoprotein A-IV (APOA4) as a biomarker and potential therapeutic target for AH. APOA4 expression was detected by Gene Expression Omnibus (GEO) databases, Immunohistochemistry, and qRT-PCR in AH. Bioinformatics Methods (protein-protein interaction (PPI) network, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Set Enrichment Analysis (GSEA) were used to show down-stream gene and pathways of APOA4 in AH. AML-12 cells were used to evaluate the biological function of APOA4 using an ELISA kit (AST, ALT, and IL-1β) and flow cytometry (ROS activity). Both in vivo and in vitro, APOA4 expression was significantly elevated in the AH model induced by alcohol (ETOH). AML-12 cell damage was specifically repaired by APOA4 deficiency, while AST, ALT, and IL-1β activity that was increased by ETOH (200 µmol, 12 h) were suppressed. APOA4 inhibition increased intracellular ROS induced by ETOH, which was detected by flow cytometry. Functional and PPI network analyses showed Fcgamma receptor (FCGR) and platelet activation signaling were potential downstream pathways. We identified Show less
📄 PDF DOI: 10.3390/ijms24010670
APOA4
Xue Du, Shujing Lai, Wanqiu Zhao +5 more · 2022 · BMC genomics · BioMed Central · added 2026-04-24
In the late phase of production, ducks untimely cease laying, leading to a lower feed conversion. Liver plays a vital role in the synthesis and transport of yolk materials during egg formation in bird Show more
In the late phase of production, ducks untimely cease laying, leading to a lower feed conversion. Liver plays a vital role in the synthesis and transport of yolk materials during egg formation in birds. However, the molecular mechanism of liver in ceased-laying duck is far from clear, higher resolution and deeper analysis is needed. Sing-cell RNA-sequencing of 10 × Genomics platform can help to map the liver single cell gene expression atlas of Shaoxing duck and provide new insights into the liver between egg-laying and ceased-laying ducks. About 20,000 single cells were profiled and 22 clusters were identified. All the clusters were identified as 6 cell types. The dominant cell type is hepatocyte, accounted for about 60% of all the cells. Of note, the heterogeneity of cells between egg-laying duck and ceased-laying duck mainly occurred in hepatocytes. Cells of cluster 3 and 12 were the unique hepatocyte states of egg-laying ducks, while cells of cluster 0 and 15 were the unique hepatocyte states of ceased-laying ducks. The expression mode of yolk precursor transporters, lipid metabolizing enzymes and fibrinogens were different in hepatocytes between egg-laying duck and ceased-laying duck. APOV1, VTG2, VTG1, APOB, RBP, VTDB and SCD might be activated in egg-laying ducks, while APOA1, APOA4, APOC3, FGB and FGG might be activated in ceased-laying ducks. Our study further proofs that APOV1 and APOB play key roles in egg production, rather than APOA1 and APOA4. It is also the first to detect a correlation between the higher expression of APOC3, FGB, FGG and ceased-laying in duck. Show less
📄 PDF DOI: 10.1186/s12864-022-09089-0
APOA4
Ping Li, Jianran Hu, Hongmei Zhao +2 more · 2022 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, whose etiology is poorly understood. Accumulating evidence indicates that gut microbiota plays an important role in Show more
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, whose etiology is poorly understood. Accumulating evidence indicates that gut microbiota plays an important role in the occurrence and progression of various human diseases, including NAFLD. In this study, NAFLD mouse models were established by feeding a high-fat diet (HFD). Baicalein, a natural flavonoid with multiple biological activities, was administered by gavage, and its protective effect on NAFLD was analyzed by histopathological and blood factor analysis. Gut microbiota analysis demonstrated that baicalein could remodel the overall structure of the gut microbiota from NAFLD model mice, especially Show less
📄 PDF DOI: 10.3389/fphar.2022.925349
APOA4
Ming Ke, Xin Li, Lin Wang +2 more · 2022 · BMC nephrology · BioMed Central · added 2026-04-24
Systemic amyloidosis is classified according to the deposited amyloid fibril protein (AFP), which determines its best therapeutic scheme. The most common type of AFP found are immunoglobulin light cha Show more
Systemic amyloidosis is classified according to the deposited amyloid fibril protein (AFP), which determines its best therapeutic scheme. The most common type of AFP found are immunoglobulin light chains. The laser microdissection combined with mass spectrometry (LMD-MS) technique is a promising approach for precise typing of amyloidosis, however, the major difficulty in interpreting the MS data is how to accurately identify the precipitated AFP from background. The objective of the present study is to establish a complete data interpretation procedure for LMD-MS based amyloidosis typing. Formalin-fixed paraffin-embedded specimens from patients with renal amyloidosis and non-amyloid nephropathies (including diabetic nephropathy, fibrillary glomerulonephritis, IgA nephropathy, lupus nephritis, membranous nephropathy, and normal tissue adjacent to tumors) were analyzed by LMD-MS. Forty-two specimens were used to train the data interpretation procedure, which was validated by another 50 validation specimens. Area under receiver operating curve (AUROC) analysis of amyloid accompanying proteins (AAPs, including apolipoprotein A-IV, apolipoprotein E and serum amyloid P-component) for discriminating amyloidosis from non-amyloid nephropathies was performed. A stepwise data interpretation procedure that includes or excludes the types of amyloidosis group by group was established. The involvement of AFPs other than immunoglobulin was determined by P-score, as well as immunoglobulin light chain by variable of λ-κ, and immunoglobulin heavy chain by H-score. This achieved a total of 88% accuracy in 50 validation specimens. The AAPs showed significantly different expression levels between amyloidosis specimens and non-amyloid nephropathies. Each of the single AAP had a AUROC value more than 0.9 for diagnosis of amyloidosis from non-amyloid control, and the averaged level of the three AAPs showed the highest AUROC (0.966), which might be an alternative indicator for amyloidosis diagnosis. The proteomic data interpretation procedure for LMD-MS based amyloidosis typing was established successfully that has a high practicability in clinical application. Show less
📄 PDF DOI: 10.1186/s12882-022-02785-9
APOA4
Hong Lin, Liping Xuan, Jiali Xiang +13 more · 2022 · Atherosclerosis · Elsevier · added 2026-04-24
The Apolipoprotein A5 (APOA5) rs662799 was significantly associated with blood lipid level at genome-wide significance level. Whether dynamic changes of adiposity influence the effect of lipid loci on Show more
The Apolipoprotein A5 (APOA5) rs662799 was significantly associated with blood lipid level at genome-wide significance level. Whether dynamic changes of adiposity influence the effect of lipid loci on long-term blood lipid profile remains unclear. We assessed interactions of 5-year body mass index (BMI) change and rs662799 genotypes with risk of incident dyslipidemia and longitudinal changes in serum lipids in a prospective cohort. We included 4329 non-dyslipidemia participants aged ≥ 40 years at baseline from a well-defined community-based cohort and followed up for an average of 5 years. BMI and blood lipids were measured at baseline and follow-up. The association of each rs662799 A-allele with risk of incident dyslipidemia was stronger along with the increase in BMI change level, with the odds ratios (OR) increasing from 1.03 in the lowest tertile of BMI change (< 0.02 kg/m BMI changes significantly modulate rs662799 genetic contribution to dyslipidemia and long-term lipid profile, which provide new evidence for personalized clinical management of lipids according to individual genetic background. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2022.03.031
APOA5
Yue He, Xinsheng Gu, Ying Hu +5 more · 2022 · Journal of cardiology · Elsevier · added 2026-04-24
Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. Previously, rare mutations in low-density lipoprotein receptor (LDLR) genes and apolip Show more
Myocardial infarction (MI), a leading cause of death around the world, displays a complex pattern of inheritance. Previously, rare mutations in low-density lipoprotein receptor (LDLR) genes and apolipoprotein A V (APOA5) have been shown to contribute to MI risk in individual families. Exosomes provide a potential source of biomarkers for MI. This study is to determine the role of LDLR and APOA5 as biomarkers for early diagnosis of MI. In this study, we detected the levels of LDLR, APOA5, and cardiac troponin T in plasma-derived exosomes in MI patients and age-matched healthy people by enzyme linked immunosorbent assay and observed the morphology and number of exosomes using transmission electron microscope and nanoparticle tracking analysis. Oxygen-glucose deprivation (OGD) method was used to induce MI in H9C2 cardiomyocytes to explore the effect of exosomes. We found that the levels of LDLR and APOA5 in plasma-derived exosomes in MI patients were significantly decreased. Furthermore, exosomes of MI patients were significantly larger in size and the concentration of exosomes was higher than that of age-matched non-MI people. In vitro experiments showed that OGD treatment induced apoptosis of myocardial cells and decreased the expression of LDLR and APOA5, while addition of exosomes isolated from healthy people rescued these phenotypes. Exosomal APOA5 and LDLR are intimately associated with MI, and thereby have the potential to function as diagnostic markers of MI. Show less
no PDF DOI: 10.1016/j.jjcc.2021.10.020
APOA5
Di Wu, Jiheng Wang, Yongxing Chang +6 more · 2022 · Obesity (Silver Spring, Md.) · Wiley · added 2026-04-24
Lipid metabolic disorders pose a serious threat to human health, and currently no good treatments exist. In earlier studies by the authors, HepG2 cells with diacylglycerol kinase theta (DGKθ) knockout Show more
Lipid metabolic disorders pose a serious threat to human health, and currently no good treatments exist. In earlier studies by the authors, HepG2 cells with diacylglycerol kinase theta (DGKθ) knockout were found to cause significant lipid accumulation, suggesting that DGKθ may be a potential target for treating lipid metabolic disorders. A high-throughput screening of natural products targeting the potential signaling pathway of lipid metabolism was carried out in the DGKθ-T2A-luciferase knock-in HepG2 cell. RNA-sequencing and bioinformatic approaches were used to analyze the potential pathway by which rutaecarpin decreases lipids. Western blot and quantitative polymerase chain reaction were performed to investigate the mechanisms of rutaecarpin's reduction in lipid levels. Rutaecarpin was found to significantly enhance DGKθ expression, and the potential mechanisms by which rutaecarpin accelerates lipid metabolism by targeting DGKθ was explored in vitro and in vivo. The results indicated that rutaecarpin could markedly reduce lipid accumulation in oleic acid-induced HepG2 cells and in high-fat diet-induced obese C57BL/6J mice by targeting the hepatocyte nuclear factor 1-beta (HNF1B)-DGKθ-peroxisome proliferator-activated receptor alpha (PPARα)-apolipoprotein C3 (APOC3) pathway. Rutaecarpin is effective in reducing lipid accumulation, and the development of a high-throughput screening platform based on a reporter knock-in cell line may facilitate the discovery of effective drugs for lipid metabolic disorders based on the DGKθ target. Show less
no PDF DOI: 10.1002/oby.23572
APOC3
Dong Cai, Zhibo Zhao, Jiejun Hu +4 more · 2022 · Frontiers in surgery · Frontiers · added 2026-04-24
Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors with poor prognosis. Increasing evidence has revealed that immune cells and checkpoints in the tumor microenvironment (TME) Show more
Hepatocellular carcinoma (HCC) is one of the most prevalent malignant tumors with poor prognosis. Increasing evidence has revealed that immune cells and checkpoints in the tumor microenvironment (TME) and aging are associated with the prognosis of HCC. However, the association between aging and the tumor immune microenvironment (TIME) in HCC is still unclear. RNA expression profiles and clinical data concerning HCC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Based on differentially expressed aging-related genes (DEAGs), unsupervised clustering was used to identify a novel molecular subtype in HCC. The features of immune cell infiltration and checkpoints were further explored through CIBERSORTx. Enrichment analysis and both univariate and multivariate Cox analyses were conducted to construct a 3-gene model for predicting prognosis and chemosensitivity. Finally, the mRNA and protein expression levels of the 3 genes were verified in HCC and other cancers through database searches and experiments. Eleven differentially expressed AGs (GHR, APOC3, FOXM1, PON1, TOP2A, FEN1, HELLS, BUB1B, PPARGC1A, PRKDC, and H2AFX) correlated with the prognosis of HCC were used to divide HCC into two subtypes in which the prognosis was different. In cluster 2, which had a poorer prognosis, the infiltration of naive B cells and monocytes was lower in the TCGA and GEO cohorts, while the infiltration of M0 macrophages was higher. In addition, the TCGA cohort indicated that the microenvironment of cluster 2 had more immunosuppression through immune checkpoints. Enrichment analysis suggested that the MYC and E2F targets were positively associated with cluster 2 in the TCGA and GEO cohorts. Additionally, 3 genes (HMGCS2, SLC22A1, and G6PD) were screened to construct the prognostic model through univariate/multivariate Cox analysis. Then, the model was validated through the TCGA validation set and GEO dataset (GSE54236). Cox analysis indicated that the risk score was an independent prognostic factor and that patients in the high-risk group were sensitive to multiple targeted drugs (sorafenib, gemcitabine, rapamycin, etc.). Finally, significantly differential expression of the 3 genes was detected across cancers. We systematically described the immune differences in the TME between the molecular subtypes based on AGs and constructed a novel three-gene signature to predict prognosis and chemosensitivity in patients with HCC. Show less
📄 PDF DOI: 10.3389/fsurg.2022.836080
APOC3
Bo Hu, Bo Li, Kun Li +15 more · 2022 · Science advances · Science · added 2026-04-24
Small interfering RNA (siRNA) therapeutic is considered to be a promising modality for the treatment of hyperlipidemia. Establishment of a thermostable clinically applicable delivery system remains a Show more
Small interfering RNA (siRNA) therapeutic is considered to be a promising modality for the treatment of hyperlipidemia. Establishment of a thermostable clinically applicable delivery system remains a most challenging issue for siRNA drug development. Here, a series of ionizable lipid-like materials were rationally designed; 4 panels of lipid formulations were fabricated and evaluated on the basis of four representative structures. The lead lipid (A1-D1-5) was stable at 40°C, and the optimized formulation (iLAND) showed dose and time dual-dependent gene silencing pattern with median effective dose of 0.18 mg/kg. In addition, potent and durable reduction of serum cholesterol and triglyceride were achieved by administering siRNAs targeting Show less
📄 PDF DOI: 10.1126/sciadv.abm1418
APOC3
C Mary Schooling, Shiu Lun Au Yeung, Jie V Zhao · 2022 · Thrombosis and haemostasis · added 2026-04-24
Statins have long been suspected to have pleiotropic effects via thrombotic factors. Randomized controlled trials are too limited to be definitive. We examined the associations of genetically mimickin Show more
Statins have long been suspected to have pleiotropic effects via thrombotic factors. Randomized controlled trials are too limited to be definitive. We examined the associations of genetically mimicking effects of statins, PCSK9 inhibitors, and alternative lipid targets (in genes We assessed the effect of established genetic mimics of effects of lipid modifiers and alternative lipid treatment targets on PT ( Genetically mimicked effects of statins increased PT by 0.31 standard deviation (SD) per SD increase in low-density lipoprotein (95% confidence interval [CI]: 0.10-0.51) based on rs12916 but did not affect aPTT. Genetically mimicking effects of targeting Statins, and possibly targeting Show less
no PDF DOI: 10.1055/a-1711-0946
APOC3
Hao-Min Zhou, Li-Mei Zhao · 2022 · Frontiers in pharmacology · Frontiers · added 2026-04-24
📄 PDF DOI: 10.3389/fphar.2022.1091018
AXIN1
Wanni Zhao, Xue Meng, Jianfeng Liang · 2022 · International wound journal · Blackwell Publishing · added 2026-04-24
To study the pathogenesis of diabetes mellitus (DM) and identify new biomarkers, high-throughput RNA sequencing provides a technical means to explore the regulatory network of MD gene expression. To b Show more
To study the pathogenesis of diabetes mellitus (DM) and identify new biomarkers, high-throughput RNA sequencing provides a technical means to explore the regulatory network of MD gene expression. To better elucidate the genetic basis of DM, we analysed the circRNA and mRNA expression profiles in serum samples from diabetic patients. The circRNAs and mRNAs with abnormal expression in the DM group and non-diabetic group (NDM) were classified by RNA sequencing and differential expression analysis. The circRNA-miRNA-mRNA regulatory network reveals the mechanism by which competitive endogenous RNAs (ceRNAs) regulate gene expression. The biological functions and interactions of circRNA and mRNA were analysed by gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Differential expression analysis showed that 441 circRNAs (366 up-regulated, 75 down-regulated) and 683 mRNAs (354 up-regulated, 329 down-regulated) were significantly differentially expressed in the DM group compared with the NDM group. Screening of the differential genes at the nodes of the interaction network showed that a single circRNA could interact with multiple miRNAs and then jointly regulate more mRNAs. In addition, the expressions of circRNA CNOT6 and AXIN1 as well as mRNA STAT3, MYD88, and B2M were associated with the progression of diabetes. Enrichment pathway analysis indicated that differentially expressed circRNA and mRNA may participate in Nod-like receptor signalling pathway, insulin signalling pathway, sphinolipid metabolism pathway, and ribosome pathway, and play a role in the pathogenesis of diabetes. This study provides a theoretical basis for elucidating the molecular mechanism of DM occurrence and development at circRNA and mRNA levels. Show less
📄 PDF DOI: 10.1111/iwj.13838
AXIN1
Nuomin Li, Yunjie Qiu, Hao Wang +2 more · 2022 · International journal of molecular sciences · MDPI · added 2026-04-24
Neuritic plaques are one of the major pathological hallmarks of Alzheimer's disease. They are formed by the aggregation of extracellular amyloid-β protein (Aβ), which is derived from the sequential cl Show more
Neuritic plaques are one of the major pathological hallmarks of Alzheimer's disease. They are formed by the aggregation of extracellular amyloid-β protein (Aβ), which is derived from the sequential cleavage of amyloid-β precursor protein (APP) by β- and γ-secretase. BACE1 is the main β-secretase in the pathogenic process of Alzheimer's disease, which is believed to be a rate-limiting step of Aβ production. Presenilin 1 (PS1) is the active center of the γ-secretase that participates in the APP hydrolysis process. Mutations in the PS1 gene ( Show less
📄 PDF DOI: 10.3390/ijms232416151
BACE1
Zhiwu Dong, Hongjun Gu, Qiang Guo +6 more · 2022 · Cells · MDPI · added 2026-04-24
Alzheimer's disease (AD) is a common neurodegenerative disorder with progressive cognitive impairment in the elderly. Beta-amyloid (Aβ) formation and its accumulation in the brain constitute one of th Show more
Alzheimer's disease (AD) is a common neurodegenerative disorder with progressive cognitive impairment in the elderly. Beta-amyloid (Aβ) formation and its accumulation in the brain constitute one of the pathological hallmarks of AD. Until now, how to modulate Aβ formation in hippocampal neurons remains a big challenge. Herein, we investigated whether the exosomal transfer of microRNA (miR) relates to amyloid pathology in the recipient neuron cells. We isolated circulating small extracellular vesicles (sEVs) from AD patients and healthy controls, determined the miR-342-5p level in the sEVs by RT-PCR, and evaluated its diagnostic performance in AD. Then, we took advantage of biomolecular assays to estimate the role of miR-342-5p in modulating the amyloid pathway, including amyloid precursor protein (APP), beta-site APP cleaving enzyme 1 (BACE1), and Aβ42. Furthermore, we subjected HT22 cells to the sEVs from the hippocampal tissues of transgenic APP mice (Exo-APP) or C57BL/6 littermates (Exo-CTL), and the Exo-APP enriched with miR-342-5p mimics or the control to assess the effect of the sEVs' delivery of miR-342-5p on Aβ formation. We observed a lower level of miR-342-5p in the circulating sEVs from AD patients compared with healthy controls. MiR-342-5p participated in Aβ formation by modulating BACE1 expression, specifically binding its 3'-untranslated region (UTR) sequence. Exo-APP distinctly promoted Aβ42 formation in the recipient cells compared to Exo-CTL. Intriguingly, miR-342-5p enrichment in Exo-APP ameliorated amyloid pathology in the recipient cells. Our study indicated that miR-342-5p was dysregulated in human circulating sEVs from AD patients; sEV transfer of miR-342-5p ameliorates Aβ formation by modulating BACE1 expression. These findings highlight the promising potential of exosomal miRNAs in AD clinical therapy. Show less
📄 PDF DOI: 10.3390/cells11233830
BACE1
Fengmao An, Ruyi Zhao, Xinran Xuan +3 more · 2022 · Chemico-biological interactions · Elsevier · added 2026-04-24
Growing pieces of evidence suggest that Alzheimer's disease (AD) is interlinked with Type 2 diabetes mellitus (DM), which has been described as "type 3 DM". In this study, we investigate the neuronal Show more
Growing pieces of evidence suggest that Alzheimer's disease (AD) is interlinked with Type 2 diabetes mellitus (DM), which has been described as "type 3 DM". In this study, we investigate the neuronal insult attributable to advanced glycation end products (AGEs) as the models of DM-related AD to understand the effects exerted by calycosin on neurodegenerative changes both in vivo and in vitro studies and also studied the associated molecular mechanisms. The results reported herein revealed that the viability of the PC12 cells induced by AGEs increased when treated with calycosin. It was also observed that the learning and memory abilities of AGE-induced DM-related AD rats improved under these conditions. Analysis of the reported results indicates that calycosin can effectively down-regulate the activity of GSK-3β to result in the reversal of the process of tau hyperphosphorylation, inhibit the expression of RAGE and BACE-1 proteins, resulting in a decrease in the production of β-amyloid and regulate the PGC-1α/TFAM signaling pathway to repair mitochondrial dysfunction. It can be inferred that calycosin can potentially exhibit important therapeutic properties that can be exploited during the treatment of AD, especially DM-related AD. Show less
no PDF DOI: 10.1016/j.cbi.2022.110206
BACE1
Nan Wang, Wenjie Liu, Lijun Zhou +11 more · 2022 · ACS omega · ACS Publications · added 2026-04-24
The pathogenesis of Alzheimer's disease (AD) is very complex, and there are many hypotheses. Therefore, the development of a multi-target-directed-ligand may be an effective therapeutic strategy. Our Show more
The pathogenesis of Alzheimer's disease (AD) is very complex, and there are many hypotheses. Therefore, the development of a multi-target-directed-ligand may be an effective therapeutic strategy. Our previous study showed that notopterol (a natural product from Show less
📄 PDF DOI: 10.1021/acsomega.2c03368
BACE1
Qiong Wu, Xiang Li, Xiao-Wen Jiang +6 more · 2022 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Yuan-Zhi Decoction (YZD) is a traditional Chinese medical formulation with demonstrated clinical benefits in Alzheimer's disease (AD). We used liquid chromatography coupled with mass spectrometry to i Show more
Yuan-Zhi Decoction (YZD) is a traditional Chinese medical formulation with demonstrated clinical benefits in Alzheimer's disease (AD). We used liquid chromatography coupled with mass spectrometry to identify 27 unique chemical components of YZD. Analyzing these using network pharmacology and molecular docking models identified 34 potential interacting molecular targets involved in 26 biochemical pathways. When tested in an animal model of AD, the APP/PS1 transgenic mice showed measurable improvements in spatial orientation and memory after the administration of YZD. These improvements coincided with significantly reduced deposition of Aβ plaques and tau protein in the hippocampi in the treated animals. In addition, a decreased BACE1 and beta-amyloid levels, a downregulation of the p-GSK-3β/GSK-3β, and an upregulation of the PI3K and p-AKT/AKT pathway was seen in YZD treated animals. These Show less
📄 PDF DOI: 10.3389/fphar.2022.893244
BACE1
Idris Temitope Bello, Na Yu, Yufei Song +7 more · 2022 · Small (Weinheim an der Bergstrasse, Germany) · Wiley · added 2026-04-24
Triple ionic and electronic conductivity (TIEC) in cathode materials for protonic ceramic fuel cells (PCFCs) is a desirable feature that enhances the spatial expansion of active reaction sites for ele Show more
Triple ionic and electronic conductivity (TIEC) in cathode materials for protonic ceramic fuel cells (PCFCs) is a desirable feature that enhances the spatial expansion of active reaction sites for electrochemical oxygen reduction reaction. The realization of optimal TIEC in single-phase materials, however, is challenging. A facile route that facilitates the optimization of TIEC in PCFC cathodes is the strategic development of multiphase cathode materials. In this study, a cubic-rhombohedral TIEC nanocomposite material with the composition Ba(CeCo) Show less
no PDF DOI: 10.1002/smll.202203207
BACE1
Xinyan Wu, Xiaomei Zheng, Huaqiao Tang +7 more · 2022 · Medicine · added 2026-04-24
Alzheimer disease (AD) is a degenerative brain disease, which may lead to severe memory loss and other cognitive disorders. However, few effective drugs are available in the clinic at present. Curcumi Show more
Alzheimer disease (AD) is a degenerative brain disease, which may lead to severe memory loss and other cognitive disorders. However, few effective drugs are available in the clinic at present. Curcumin, a major ingredient of traditional Chinese medicine, Curcuma Longa, has various pharmacological activities. Therefore, exploring clinical drugs based on the inhibition of AD pathological features is imperative. First, we utilized the HERB database and Swisstarget Prediction database to get the related targets of curcumin and intersected with the AD targets. The intersection targets were used to construct the protein-protein interaction network and performed gene ontology and kyoto encyclopedia of genes and genomes analyses. Further, we obtained targets of curcumin against AD-related tau and aβ pathology via the AlzData database. These targets were applied to perform GEO and receiver operating characteristic analyses. Finally, the reliability of the core targets was evaluated using molecular docking technology. We identified 49 targets of curcumin against AD, and kyoto encyclopedia of genes and genomes pathway enrichment analysis demonstrated that the Alzheimer disease pathway (has05010) was significantly enriched. Even more, we obtained 16 targets of curcumin-related Aβ and tau pathology. Among these targets, 8 targets involved the Alzheimer disease pathway and the biological process analyses showed that positive regulation of cytokine production (GO:0001819) was significantly enriched. Bioinformatic analyses indicated that HMOX1, CSF1R, NFKB1, GSK3B, BACE1, AR, or PTGS1 expression was significantly different compared to the control group in the AD patients. Finally, molecular docking studies suggested these genes have a good binding force with curcumin. In this study, we identified curcumin exerted the effect of treating AD by regulating multitargets and multichannels through the method of network pharmacology. Show less
📄 PDF DOI: 10.1097/MD.0000000000030194
BACE1
Wenjie Liu, Limeng Wu, Wenwu Liu +10 more · 2022 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Multi-targeted directed ligands (MTDLs) are emerging as promising Alzheimer's disease (AD) therapeutic possibilities. Coumarin is a multifunctional backbone with extensive bioactivity that has been ut Show more
Multi-targeted directed ligands (MTDLs) are emerging as promising Alzheimer's disease (AD) therapeutic possibilities. Coumarin is a multifunctional backbone with extensive bioactivity that has been utilized to develop innovative anti-neurodegenerative properties and is a desirable starting point for the construction of MTDLs. Herein, we explored and synthesized a series of novel coumarin derivatives and assessed their inhibitory effects on cholinesterase (AChE, BuChE), GSK-3β, and BACE1. Among these compounds, compound 30 displayed the multifunctional profile of targeting the AChE (IC Show less
no PDF DOI: 10.1016/j.ejmech.2022.114689
BACE1
Lei Jiang, Nannan Yuan, Na Zhao +9 more · 2022 · Brain research bulletin · Elsevier · added 2026-04-24
Diabetic encephalopathy (DE), a chronic complication of diabetes, is characterized by decline of cognitive function. The molecular mechanism of DE remains unclear. The purpose of this study is to eval Show more
Diabetic encephalopathy (DE), a chronic complication of diabetes, is characterized by decline of cognitive function. The molecular mechanism of DE remains unclear. The purpose of this study is to evaluate the roles of advanced glycation end products (AGEs) in the pathogenesis of DE and investigate its underlying mechanisms in this process. DE rats were developed by incorporating a high-fat diet and streptozotocin injection followed by the Morris Water Maze test. HT-22 cells were used to mimic the in vitro neuronal injuries of DE. Expression levels of long non-coding RNA H19, miR-15b and β-site amyloid precursor protein cleaving enzyme 1 (BACE1) mRNA in the hippocampus of DE rats or HT-22 cells were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The levels of BACE1 proteins were analyzed by western blotting or immunohistochemical staining. The contents of Aβ We found that the accumulation of Aβ These results suggested that AGEs induced Aβ Show less
no PDF DOI: 10.1016/j.brainresbull.2022.08.007
BACE1
Juan Li, Bin Zou, Xiao-Yu Cheng +6 more · 2022 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Alzheimer's disease (AD) is a neurodegenerative disease characterized by memory loss and cognitive dysfunction in the elderly, with amyloid-beta (Aβ) deposition and hyperphosphorylation of tau protein Show more
Alzheimer's disease (AD) is a neurodegenerative disease characterized by memory loss and cognitive dysfunction in the elderly, with amyloid-beta (Aβ) deposition and hyperphosphorylation of tau protein as the main pathological feature. Nuclear factor 2 (Nrf2) is a transcription factor that primarily exists in the cytosol of hippocampal neurons, and it is considered as an important regulator of autophagy, oxidative stress, and inflammation. Total saikosaponins (TS) is the main bioactive component of Show less
📄 PDF DOI: 10.3389/fphar.2022.940999
BACE1
Mengying Liu, Biyao Lian, Zhen Lan +6 more · 2022 · Neurochemical research · Springer · added 2026-04-24
Previous studies have shown that ovarian estrogens are involved in the occurrence and pathology of Alzheimer's disease (AD) through regulation on hippocampal synaptic plasticity and spatial memory; ho Show more
Previous studies have shown that ovarian estrogens are involved in the occurrence and pathology of Alzheimer's disease (AD) through regulation on hippocampal synaptic plasticity and spatial memory; however, the underlying mechanisms have not yet been elucidated at the genomic scale. In this study, we established the postmenopausal estrogen-deficient model by ovariectomy (OVX). Then, we used high-throughput Affymetrix Clariom transcriptomics and found 143 differentially expressed genes in the hippocampus of OVX mice with the absolute fold change ≥ 1.5 and P < 0.05. GO analysis showed that the highest enrichment was seen in long-term memory. Combined with the response to steroid hormone enrichment and GeneMANIA network prediction, the serum and glucocorticoid-regulated kinase 1 gene (Sgk1) was found to be the most potent candidate for ovarian estrogenic regulation. Sgk1 overexpression viral vectors (oSgk1) were then constructed and injected into the hippocampus of OVX mice. Morris water maze test revealed that the impaired spatial learning and memory induced by OVX was rescued by Sgk1 overexpression. Additionally, the altered expression of synaptic proteins and actin remodeling proteins and changes in CA1 spine density and synapse density induced by OVX were also significantly reversed by oSgk1. Moreover, the OVX-induced increase in Aβ-producing BACE1 and Aβ and the decrease in insulin degrading enzyme were significantly reversed by oSgk1. The above results show that multiple pathways and genes are involved in ovarian estrogenic regulation of the function of the hippocampus, among which Sgk1 may be a novel potent target against estrogen-sensitive hippocampal dysfunctions, such as Aβ-initiated AD. Show less
📄 PDF DOI: 10.1007/s11064-022-03690-1
BACE1
Longhe Zhao, Zhaorong Yue, Yanni Wang +7 more · 2022 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is the most common neurodegenerative disease. Deposition of amyloid β plaques (Aβ) is a central hallmark of AD. Accumulating evidence suggest that shifting amyloid precursor p Show more
Alzheimer's disease (AD) is the most common neurodegenerative disease. Deposition of amyloid β plaques (Aβ) is a central hallmark of AD. Accumulating evidence suggest that shifting amyloid precursor protein (APP) metabolism pathway to non-amyloidogenic ways and inducing autophagy play key roles in AD pathology. In published reports, there is no research on the APP metabolic process of Terminalia chebula Retz. (T. Chebula). The study aims to assess the effects of T. Chebula in AD transgenic SH-SY5Y cells to determine its underlying mechanisms on reducing Aβ level by regulating APP metabolic process. The effects of T. Chebula water extract (TWE) on APPswe transgenic SH-SY5Y cells were analyzed by cell viability. ELISA used to quantify extracellular Aβ Treatment with TWE significantly suppressed the Aβ In summary, our finding first time expounded that TWE can inhibit the generation of Aβ Show less
no PDF DOI: 10.1016/j.phymed.2022.154245
BACE1
Zhen-Tao Deng, Yu-Chen Liu, Qin-Feng Zhu +3 more · 2022 · Chemistry & biodiversity · Wiley · added 2026-04-24
Five new fawcettimine-type Lycopodium alkaloids, hupertimines A-E (1-5), were discovered from the whole plant of Huperzia serrata, along with two known alkaloids, 8α-hydroxyphlegmariurine B (6) and 8β Show more
Five new fawcettimine-type Lycopodium alkaloids, hupertimines A-E (1-5), were discovered from the whole plant of Huperzia serrata, along with two known alkaloids, 8α-hydroxyphlegmariurine B (6) and 8β-hydroxyphlegmariurine B (7). The structures of 1-7 were identified through HR-MS, IR, Show less
no PDF DOI: 10.1002/cbdv.202200454
BACE1
Chuang Du, Wen-Jie Liu, Jing Yang +2 more · 2022 · Frontiers in nutrition · Frontiers · added 2026-04-24
Branched-chain amino acids (BCAAs), composed of leucine, isoleucine, and valine, are important essential amino acids in human physiology. Decades of studies have revealed their roles in protein synthe Show more
Branched-chain amino acids (BCAAs), composed of leucine, isoleucine, and valine, are important essential amino acids in human physiology. Decades of studies have revealed their roles in protein synthesis, regulating neurotransmitter synthesis, and the mechanistic target of rapamycin (mTOR). BCAAs are found to be related to many metabolic disorders, such as insulin resistance, obesity, and heart failure. Also, many diseases are related to the alteration of the BCAA catabolism enzyme branched-chain α-keto acid dehydrogenase kinase (BCKDK), including maple syrup urine disease, human autism with epilepsy, and so on. In this review, diseases and the corresponding therapies are discussed after the introduction of the catabolism and detection methods of BCAAs and BCKDK. Also, the interaction between microbiota and BCAAs is highlighted. Show less
📄 PDF DOI: 10.3389/fnut.2022.932670
BCKDK