👤 Sarah Wu

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Also published as: Aimin Wu, Alexander T H Wu, Alice Ying-Jung Wu, An Guo Wu, An-Chih Wu, An-Dong Wu, An-Hua Wu, An-Li Wu, An-Xin Wu, Andong Wu, Anguo Wu, Anke Wu, Anna H Wu, Anping Wu, Anshi Wu, Anyi Wu, Anyue Wu, Anzhou Wu, B Wu, Baiyan Wu, Baochuan Wu, Baojian Wu, Baojin Wu, Baoqin Wu, Beier Wu, Beili Wu, Ben J Wu, Bian Wu, Biaoliang Wu, Bifeng Wu, Bill X Wu, Bin Wu, Binbin Wu, Bing Wu, Bing-Bing Wu, Bingjie Wu, Binxin Wu, Biwei Wu, Bo Wu, Boquan Wu, Buling Wu, C Wu, C-H Wu, Cai-Qin Wu, Caihong Wu, Caisheng Wu, Caiwen Wu, Catherine A Wu, Chang-Jiun Wu, Changchen Wu, Changjie Wu, Changjing Wu, Changwei Wu, Changxin Wu, Changyu Wu, Chao Wu, Chao-Liang Wu, Chaoling Wu, Chaowei Wu, Chen Wu, Chen-Lu Wu, Cheng Wu, Cheng-Chun Wu, Cheng-Hsin Wu, Cheng-Hua Wu, Cheng-Jang Wu, Cheng-Jun Wu, Cheng-Yang Wu, Chengbiao Wu, Chengqian Wu, Chengrong Wu, Chengwei Wu, Chengxi Wu, Chengyu Wu, Chenyang Wu, Chew-Wun Wu, Chi-Chung Wu, Chi-Hao Wu, Chi-Jen Wu, Chia-Chang Wu, Chia-Chen Wu, Chia-Ling Wu, Chia-Lung Wu, Chia-Zhen Wu, Chiao-En Wu, Chieh-Jen Wu, Chieh-Lin Stanley Wu, Chien-Sheng Wu, Chien-Ting Wu, Chih-Ching Wu, Chih-Chung Wu, Chih-Hsing Wu, Ching-Yi Wu, Cho-Kai Wu, Chong Wu, Chongming Wu, Choufei Wu, Chris Y Wu, Chuan-Ling Wu, Chuang Wu, Chuanhong Wu, Chun Wu, Chun-Chieh Wu, Chun-Hua Wu, Chunfu Wu, Chung-Yi Wu, Chunru Wu, Chunshuai Wu, Chunyan Wu, Colin Chih-Chien Wu, Colin O Wu, Cong Wu, Congying Wu, Constance Wu, Cuiling Wu, Cuiyan Wu, D I Wu, D P Wu, D Wu, Da-Hua Wu, Dai-Chao Wu, Dan Wu, Dan-Chun Wu, Dandan Wu, Danhong Wu, Danni Wu, Daoyuan Wu, Dapeng Wu, Daqing Wu, Daren Wu, David Wu, Daxian Wu, De Wu, De-Fu Wu, Deguang Wu, Dengying Wu, Depei Wu, Depeng Wu, Deqing Wu, Di Wu, Diana H Wu, Diana Wu, Dianqing Wu, Ding Lan Wu, Dirong Wu, Dishan Wu, Disheng Wu, Do-Bo Wu, Dong Wu, Dong-Bo Wu, Dong-Fang Wu, Dong-Feng Wu, Donglin Wu, Dongmei Wu, Dongping Wu, Dongsheng Wu, Dongyan Wu, Dongzhe Wu, Douglas C Wu, Duojiao Wu, Ed Xuekui Wu, Eugenia Wu, Fan Wu, Fanchang Wu, Fang Wu, Fang-Tzu Wu, Fangge Wu, Fanggeng Wu, Fei Wu, Fei-Fei Wu, Feifei Wu, Fenfang Wu, Feng Wu, Fengming Wu, Fengying Wu, Fong-Li Wu, G Wu, G X Wu, Gaige Wu, Gang Wu, Gaojun Wu, Ge-ru Wu, Gen Sheng Wu, Gen Wu, Geng-ze Wu, Geping Wu, Geting Wu, Geyan Wu, Grace F Wu, Guang-Bo Wu, Guang-Liang Wu, Guang-Long Wu, Guanggeng Wu, Guangjie Wu, Guangming Wu, Guangrun Wu, Guangsen Wu, Guangxi Wu, Guangxian Wu, Guangyan Wu, Guangzhen Wu, Guanhui Wu, Guanming Wu, Guanrong Wu, Guanxian Wu, Guanyi Wu, Guanzhao Wu, Guanzhong Wu, Gui-Qin Wu, Guifen Wu, Guifu Wu, Guihua Wu, Guiping Wu, Guixin Wu, Guizhen Wu, Guo-Chao Wu, Guofeng Wu, Guohao Wu, Guojun Wu, Guoli Wu, Guoping Wu, Guoqing Wu, Guorong Wu, Guoyao Wu, H J Wu, H Wu, Hai-Ping Wu, Hai-Yan Wu, Hai-Yin Wu, Haibin Wu, Haidong Wu, Haihu Wu, Haijiang Wu, Haijing Wu, Hailong Wu, Haiping Wu, Haishan Wu, Haisu Wu, Haiwei Wu, Haixia Wu, Haiyan Wu, Haiying Wu, Haiyun Wu, Han Wu, Han-Jie Wu, Hang Wu, Hanyu Wu, Hao Wu, Hao-Tian Wu, Haoan Wu, Haodi Wu, Haomin Wu, Haoming Wu, Haoxuan Wu, Haoze Wu, He Wu, Hei Man Wu, Hei-Man Wu, Hengyu Wu, Hon-Yen Wu, Hong Wu, Hong-Fu Wu, Hong-Mei Wu, Hongfei Wu, Hongfu Wu, Hongke Wu, Hongliang Wu, Honglin Wu, Hongmei Wu, Hongting Wu, Hongxi Wu, Hongxian Wu, Hongyan Wu, Hongyu Wu, Hsan-Au Wu, Hsi-Chin Wu, Hsien-Ming Wu, Hsing-Chieh Wu, Hsiu-Chuan Wu, Hsueh-Erh Wu, Hua Wu, Hua-Yu Wu, Huan Wu, Huanghui Wu, Huanlin Wu, Huanwen Wu, Huating Wu, Huazhang Wu, Huazhen Wu, Hui Wu, Hui-Chen Wu, Hui-Hui Wu, Hui-Mei Wu, Hui-Xuan Wu, Huijian Wu, Huijuan Wu, Huini Wu, Huisheng Wu, Huiwen Wu, Hung-Tsung Wu, I H Wu, Irene X Y Wu, J W Wu, J Wu, J Y Wu, J-Z Wu, Jamie L Y Wu, Jason H Y Wu, Jason Wu, Jemma X Wu, Jer-Yuan Wu, Jer-Yuarn Wu, Jerry Wu, Ji-Zhou Wu, Jia Wu, Jia-En Wu, Jia-Hui Wu, Jia-Jun Wu, Jia-Qi Wu, Jia-Wei Wu, Jiahang Wu, Jiahao Wu, Jiahui Wu, Jiajin Wu, Jiajing Wu, Jiake Wu, Jiamei Wu, Jian Hui Wu, Jian Wu, Jian-Lin Wu, Jian-Qiu Wu, Jian-Yi Wu, Jiang Wu, Jiang-Bo Wu, Jiang-Nan Wu, Jiangdong Wu, Jianguang Wu, Jiangyue Wu, Jianhui Wu, Jianing Wu, Jianjin Wu, Jianjun Wu, Jianli Wu, Jianliang Wu, Jianmin Wu, Jianming Wu, Jianping Wu, Jianqiang Wu, Jianrong Wu, Jianwu Wu, Jianxin Wu, Jianxiong Wu, Jianyi Wu, Jianying Wu, Jianzhang Wu, Jianzhi Wu, Jianzhong Wu, Jiao Wu, Jiapei Wu, Jiaqi Wu, Jiarui Wu, Jiawei Wu, Jiaxi Wu, Jiaxuan Wu, Jiayi Wu, Jiayu Wu, Jiayuan Wu, Jie Wu, JieQian Wu, Jiexi Wu, Jihui Wu, Jin Wu, Jin'en Wu, Jin-Shang Wu, Jin-Zhen Wu, Jin-hua Wu, Jincheng Wu, Jinfeng Wu, Jing Wu, Jing-Fang Wu, Jing-Wen Wu, Jinghong Wu, Jingjing Wu, Jingtao Wu, Jingwan Wu, Jingyi Wu, Jingyue Wu, Jingyun Wu, Jinhua Wu, Jinhui Wu, Jinjie Wu, Jinjun Wu, Jinmei Wu, Jinqiao Wu, Jinyu Wu, Jinze Wu, Jiong Wu, Jiu-Lin Wu, Joseph C Wu, Joshua L Wu, Ju Wu, Juan Wu, Juanjuan Wu, Juanli Wu, Jugang Wu, Julian Wu, Jun Wu, Jundong Wu, Junduo Wu, June K Wu, June-Hsieh Wu, Junfang Wu, Junfei Wu, Junfeng Wu, Junhua Wu, Junjie Wu, Junjing Wu, Junlong Wu, Junqi Wu, Junqing Wu, Junshu Wu, Junyi Wu, Junyong Wu, Junzheng Wu, Junzhu Wu, Justin C Y Wu, Justin Che-Yuen Wu, K D Wu, K S Wu, Kai-Hong Wu, Kai-Yue Wu, Kailang Wu, Kaili Wu, Kan Wu, Kay L H Wu, Ke Wu, Kebang Wu, Keija Wu, Kejia Wu, Kerui Wu, Kevin Zl Wu, Kuan-Li Wu, Kuen-Phon Wu, Kui Wu, Kuixian Wu, Kun Wu, Kun-Rong Wu, Kunfang Wu, Kunling Wu, Kunsheng Wu, L Wu, L-F Wu, Lai Man Natalie Wu, Lan Wu, Lanlan Wu, Lanxiang Wu, Lecheng Wu, Lei Wu, Leilei Wu, Lesley Wu, Leslie Wu, Li Wu, Li-Hsien Wu, Li-Jun Wu, Li-Ling Wu, Li-Na Wu, Li-Peng Wu, Liang Wu, Liang-Huan Wu, Liangyan Wu, Lianqian Wu, Lichao Wu, Lidi Wu, Lifang Wu, Lifeng Wu, Lihong Wu, Lijie Wu, Lijuan Wu, Lijun Wu, Lili Wu, Limei Wu, Limeng Wu, Lin Wu, Lin-Han Wu, Ling Wu, Ling-Fei Wu, Ling-Ying Wu, Ling-qian Wu, Lingling Wu, Lingqian Wu, Lingxi Wu, Lingxiang Wu, Lingyan Wu, Lingyun Wu, Lingzhi Wu, Linhong Wu, Linmei Wu, Lintao Wu, Linxiang Wu, Linyu Wu, Linzhen Wu, Linzhi Wu, Lipeng Wu, Liping Wu, Liqiang Wu, Liqun Wu, Liren Wu, Lisha Wu, Liting Wu, Litong Wu, Liufeng Wu, Liuting Wu, Liuxin Wu, Liuying Wu, Lixing Wu, Liyan Wu, Liyang Wu, Lizhen Wu, Lizi Wu, Long-Jun Wu, Longting Wu, Lorna Wu, Lulu Wu, Lun Wu, Lun-Gang Wu, Luyan Wu, M Wu, Ma Wu, Man Wu, Man-Jing Wu, Maoqing Wu, Mark N Wu, Matthew A Wu, Maureen Wu, Mei Wu, Mei-Hwan Wu, Mei-Na Wu, Meili Wu, Meina Wu, Meini Wu, Meiqi Wu, Meiqin Wu, Meng Wu, Meng-Chao Wu, Meng-Han Wu, Meng-Hsun Wu, Meng-Ling Wu, Meng-Na Wu, Mengbo Wu, Mengchao Wu, Mengjuan Wu, Mengjun Wu, Mengna Wu, Mengqiu Wu, Mengxue Wu, Mengying Wu, Mengyuan Wu, Mian Wu, Michael C Wu, Min Wu, Min-Jiao Wu, Ming J Wu, Ming Wu, Ming-Der Wu, Ming-Jiuan Wu, Ming-Shiang Wu, Ming-Sian Wu, Ming-Tao Wu, Ming-Yue Wu, Mingfu Wu, Minghua Wu, Mingjie Wu, Mingjun Wu, Mingming Wu, Mingxing Wu, Mingxuan Wu, Minna Wu, Minqing Wu, Minyao Wu, Moxin Wu, Muzhou Wu, N Wu, Na Wu, Na-Qiong Wu, Nan Wu, Nana Wu, Naqiong Wu, Ning Wu, Nini Wu, Niting Wu, P L Wu, Panyun Wu, Paul W Wu, Pei Wu, Pei-Ei Wu, Pei-Ting Wu, Pei-Wen Wu, Pei-Yu Wu, Peih-Shan Wu, Peiyao Wu, Peiyi Wu, Peng Wu, Peng-Fei Wu, Pengfei Wu, Pengjie Wu, Pengning Wu, Pensee Wu, Pin Wu, Ping Wu, Ping-Hsun Wu, Pinglian Wu, Pingxian Wu, Po-Chang Wu, Qi Wu, Qi-Biao Wu, Qi-Fang Wu, Qi-Jun Wu, Qi-Nian Wu, Qi-Yong Wu, Qi-Zhu Wu, Qian Wu, Qian-Yan Wu, Qiang Wu, Qianhu Wu, Qianqian Wu, Qianwen Wu, Qiao Wu, Qiaowei Wu, Qibiao Wu, Qibing Wu, Qihan Wu, Qijing Wu, Qin Wu, Qinan Wu, Qinfeng Wu, Qing Wu, Qing-Qian Wu, Qing-Wu Wu, Qinghua Wu, Qinglan Wu, Qinglin Wu, Qingping Wu, Qingshi Wu, Qinyi Wu, Qiong Wu, Qiqing Wu, Qitian Wu, Qiu Wu, Qiu-Li Wu, Qiuchen Wu, Qiuhong Wu, Qiuji Wu, Qiulian Wu, Qiuliang Wu, Qiuxia Wu, Qiuya Wu, Quanhui Wu, Qunzheng Wu, R M Wu, R Ryanne Wu, R Wu, R-J Wu, Ran Wu, Ray-Chin Wu, Re-Wen Wu, Ren Wu, Ren-Chin Wu, Renhai Wu, Renlv Wu, Renrong Wu, Riping Wu, Rong Wu, Ronghua Wu, Rongjie Wu, Rongling Wu, Rongrong Wu, Ru-Zi Wu, Rui Wu, Ruihong Wu, Ruize Wu, Run Wu, Runda Wu, Runpei Wu, Ruohao Wu, Ruolan Wu, Ruonan Wu, Ruying Wu, S F Wu, S J Wu, S L Wu, S M Wu, S Wu, S-F Wu, Sai Wu, Samuel M Wu, San-pin Wu, Sean M Wu, Selena Meiyun Wu, Selwin K Wu, Semon Wu, Sen-Chao Wu, Senquan Wu, Sensen Wu, Shao-Guo Wu, Shao-Ming Wu, Shaofei Wu, Shaohuan Wu, Shaojun Wu, Shaoping Wu, Shaoxuan Wu, Shaoyu Wu, Shaoze Wu, Sheng-Li Wu, Shengde Wu, Shengming Wu, Shengnan Wu, Shengru Wu, Shengxi Wu, Shenhao Wu, Shenyue Wu, Shi-Xin Wu, Shibo Wu, Shih-Ying Wu, Shihao Wu, Shin-Long Wu, Shinan Wu, Shiqi Wu, Shiwen Wu, Shixin Wu, Shiya Wu, Shiyang Wu, Shu Wu, Shuai Wu, Shuang Wu, Shufang Wu, Shugeng Wu, Shuihua Wu, Shuisheng Wu, Shujuan Wu, Shunan Wu, Shuo Wu, Shusheng Wu, Shuting Wu, Shuyan Wu, Shuyi Wu, Shuying Wu, Shwu-Yuan Wu, Shyh-Jong Wu, Si-Jia Wu, Sichen Wu, Sihan Wu, Sihui Wu, Sijie Wu, Sijun Wu, Siming Wu, Siqi Wu, Siyi Wu, Siying Wu, Siyu Wu, Song Wu, Songfen Wu, Su Wu, Su-Hui Wu, Suhua Wu, Sunyi Wu, Szu-Hsien Wu, T Wu, Tangchun Wu, Tao Wu, Teng Wu, Terence Wu, Thomas D Wu, Tian Wu, Tiange Wu, Tianhao Wu, Tianqi Wu, Tiantian Wu, Tianwen Wu, Tianzhi Wu, Ting-Feng Wu, Ting-Ting Wu, Tingchun Wu, Tingqin Wu, Tingting Wu, Tong Wu, Tracy Wu, Tsai-Kun Wu, Tsung-Jui Wu, Tsung-Teh Wu, Tung-Ho Wu, Tzu-Chun Wu, V C Wu, W J Wu, W Wu, Wan-Fu Wu, Wanxia Wu, Wei Wu, Wei-Chi Wu, Wei-Ping Wu, Wei-Xun Wu, Wei-Yin Wu, Weibin Wu, Weida Wu, Weidong Wu, Weihua Wu, Weijie Wu, Weijun Wu, Weiwei Wu, Weizhen Wu, Wen Wu, Wen-Chieh Wu, Wen-Hui Wu, Wen-Jeng Wu, Wen-Juan Wu, Wen-Ling Wu, Wen-Qiang Wu, Wen-Sheng Wu, Wen-Shu Wu, Wenda Wu, Wendy Wu, Wenhui Wu, Wenjie Wu, Wenjing Wu, Wenjuan Wu, Wenjun Wu, Wenlin Wu, Wenqi Wu, Wenqian Wu, Wenqiang Wu, Wenwen Wu, Wenxian Wu, Wenxue Wu, Wenyi Wu, Wenyong Wu, Wenyu Wu, Wenze Wu, William K K Wu, William Ka Kei Wu, Wu-Tian Wu, Wudelehu Wu, Wujun Wu, Wutain Wu, Wutian Wu, Xi Wu, Xi-Chen Wu, Xi-Ze Wu, Xia Wu, Xiahui Wu, Xian-Run Wu, Xianan Wu, Xianfeng Wu, Xiangping Wu, Xiangsheng Wu, Xiangwei Wu, Xiangxin Wu, Xianpei Wu, Xiao Wu, Xiao-Cheng Wu, Xiao-Hui Wu, Xiao-Jin Wu, Xiao-Jun Wu, Xiao-Yan Wu, Xiao-Yang Wu, Xiao-Ye Wu, Xiao-Yuan Wu, Xiaobin Wu, Xiaobing Wu, Xiaodi Wu, Xiaodong Wu, Xiaofan Wu, Xiaofeng Wu, Xiaofu Wu, Xiaohong Wu, Xiaohui Wu, Xiaojiang Wu, Xiaojie Wu, Xiaojin Wu, Xiaojing Wu, Xiaojun Wu, Xiaokang Wu, Xiaoke Wu, Xiaolang Wu, Xiaoli Wu, Xiaoliang Wu, Xiaolin Wu, Xiaoling Wu, Xiaolong Wu, Xiaoman Wu, Xiaomei Wu, Xiaomeng Wu, Xiaomin Wu, Xiaoming Wu, Xiaoping Wu, Xiaoqian Wu, Xiaoqing Wu, Xiaoqiong Wu, Xiaorong Wu, Xiaoting Wu, Xiaotong Wu, Xiaoxing Wu, Xiaoyang Wu, Xiaoying Wu, Xiaoyong Wu, Xiaoyun Wu, Xiayin Wu, Xiexing Wu, Xifeng Wu, Xihai Wu, Xilin Wu, Xilong Wu, Ximei Wu, Xin Wu, Xin-Xi Wu, Xinchun Wu, Xing Wu, Xing-De Wu, Xing-Ping Wu, Xingdong Wu, Xinghua Wu, Xingjie Wu, Xinglong Wu, Xingwei Wu, Xinhe Wu, Xinjing Wu, Xinlei Wu, Xinmiao Wu, Xinran Wu, Xinrui Wu, Xinyan Wu, Xinyang Wu, Xinyi Wu, Xinyin Wu, Xiping Wu, Xiru Wu, Xiu-Zhi Wu, Xiuhua Wu, Xiushan Wu, Xiwei Wu, Xu Wu, Xuan Wu, Xuanqin Wu, Xuanshuang Wu, Xudong Wu, Xue Wu, Xue-Mei Wu, Xue-Yan Wu, Xuefen Wu, Xuefeng Wu, Xueji Wu, Xuekun Wu, Xueling Wu, Xuemei Wu, Xueqian Wu, Xueqing Wu, Xueyan Wu, Xueyao Wu, Xueying Wu, Xueyuan Wu, Xuhan Wu, Xunwei Wu, Xuxian Wu, Y H Wu, Y Q Wu, Y Wu, Y Y Wu, Y-W Wu, Ya Wu, Yadi Wu, Yafei Wu, Yajie Wu, Yalan Wu, Yali Wu, Yan Wu, Yan Yan Wu, Yan-Hua Wu, Yan-Jun Wu, Yan-ling Wu, Yanan Wu, Yanchuan Wu, Yanchun Wu, Yandi Wu, Yang Wu, Yangfeng Wu, Yangna Wu, Yangyu Wu, Yanhong Wu, Yanhua Wu, Yanhui Wu, Yanjing Wu, Yanli Wu, Yanqiong Wu, Yanran Wu, Yansheng Wu, Yanting Wu, Yanxiang Wu, Yanyan Wu, Yanzhi Wu, Yao Wu, Yaohong Wu, Yaohua Wu, Yaojiong Wu, Yaoxing Wu, Yaping Wu, Yaqin Wu, Yaru Wu, Yawei Wu, Yawen Wu, Ye Wu, Yen-Wen Wu, Yetong Wu, Yexiang Wu, Yi Wu, Yi-Cheng Wu, Yi-Fang Wu, Yi-Hua Wu, Yi-Long Wu, Yi-Mi Wu, Yi-Ming Wu, Yi-No Wu, Yi-Syuan Wu, Yi-Xia Wu, Yi-Ying Wu, Yibo Wu, Yichen Wu, Yicheng Wu, Yifan Wu, Yifeng Wu, Yih-Jer Wu, Yih-Ru Wu, Yihan Wu, Yihang Wu, Yihe Wu, Yihua Wu, Yihui Wu, Yijian Wu, Yili Wu, Yillin Wu, Yilong Wu, Yin Wu, Yinan Wu, Ying Wu, Ying-Ting Wu, Ying-Ying Wu, Yingbiao Wu, Yinghao Wu, Yingning Wu, Yingxia Wu, Yingying Wu, Yingzhi Wu, Yipeng Wu, Yiping Wu, Yiqun Wu, Yiran Wu, Yiting Wu, Yiwen Wu, Yixia Wu, Yixuan Wu, Yiyang Wu, Yiyi Wu, Yizhou Wu, Yong Wu, Yong-Hao Wu, Yong-Hong Wu, Yongfa Wu, Yongfei Wu, Yonghui Wu, Yongjiang Wu, Yongmei Wu, Yongqi Wu, Yongqun Wu, You Wu, Yu Wu, Yu'e Wu, Yu-Chih Wu, Yu-E Wu, Yu-Hsuan Wu, Yu-Ke Wu, Yu-Ling Wu, Yu-Ting Wu, Yu-Yuan Wu, Yuan Kai Wu, Yuan Wu, Yuan-de Wu, Yuanbing Wu, Yuanhao Wu, Yuanming Wu, Yuanshun Wu, Yuanyuan Wu, Yuanzhao Wu, Yucan Wu, Yuchen Wu, Yudan Wu, Yue Wu, Yueheng Wu, Yueling Wu, Yueming Wu, Yuen-Jung Wu, Yuesheng Wu, Yuetong Wu, Yuexiu Wu, Yuguang Philip Wu, Yuh-Lin Wu, Yuhong Wu, Yujie Wu, Yujuan Wu, Yukang Wu, Yulian Wu, Yuliang Wu, Yulin Wu, Yumei Wu, Yumin Wu, Yuming Wu, Yun Wu, Yun-Wen Wu, Yuna Wu, Yung-Fu Wu, Yunhua Wu, Yunpeng Wu, Yupeng Wu, Yuqin Wu, Yurong Wu, Yushun Wu, Yuting Wu, Yutong Wu, Yuwei Wu, Yuxian Wu, Yuxiang Wu, Yuxin Wu, Yuyi Wu, Yuyu Wu, Z Wu, Zaihao Wu, Ze Wu, Zelai Wu, Zeng-An Wu, Zhangjie Wu, Zhao-Bo Wu, Zhao-Yang Wu, Zhaofei Wu, Zhaoxia Wu, Zhaoyang Wu, Zhaoyi Wu, Zhaoyuan Wu, Zhe Wu, Zheming Wu, Zhen Wu, Zhen-Qi Wu, Zhen-Yang Wu, Zhenfang Wu, Zhenfeng Wu, Zheng Wu, Zhengcan Wu, Zhengfeng Wu, Zhengliang L Wu, Zhengsheng Wu, Zhenguo Wu, Zhengyu Wu, Zhengzhi Wu, Zhenling Wu, Zhenlong Wu, Zhentian Wu, Zhenyan Wu, Zhenyong Wu, Zhenzhen Wu, Zhenzhou Wu, Zhi-Hong Wu, Zhi-Wei Wu, Zhi-Yong Wu, Zhibing Wu, Zhichong Wu, Zhidan Wu, Zhihao Wu, Zhikang Wu, Zhimin Wu, Zhipeng Wu, Zhiping Wu, Zhiqiang Wu, Zhixiang Wu, Zhiye Wu, Zhong Wu, Zhong-Jun Wu, Zhong-Yan Wu, Zhongchan Wu, Zhonghui Wu, Zhongjun Wu, Zhongluan Wu, Zhongqiu Wu, Zhongren Wu, Zhongwei Wu, Zhongyang Wu, Zhou Wu, Zhou-Ming Wu, Zhourui Wu, Zhuanbin Wu, Zhuokai Wu, Zhuoze Wu, Zhuzhu Wu, Zijun Wu, Ziliang Wu, Zilong Wu, Zimu Wu, Zixiang Wu, Zixuan Wu, Zoe Wu, Zong-Jia Wu, Zongfu Wu, Zongheng Wu, Zujun Wu, Zuping Wu
articles
Tam Minh Ly, Yen-Cheng Chen, Ming-Che Lee +5 more · 2021 · Cells · MDPI · added 2026-04-24
SNA is one of the essential EMT transcriptional factors capable of suppressing epithelial maker while upregulating mesenchymal markers. However, the mechanisms for SNA to transactivate mesenchymal mar Show more
SNA is one of the essential EMT transcriptional factors capable of suppressing epithelial maker while upregulating mesenchymal markers. However, the mechanisms for SNA to transactivate mesenchymal markers was not well elucidated. Recently, we demonstrated that SNA collaborates with EGR1 and SP1 to directly upregulate MMP9 and ZEB1. Remarkably, a SNA-binding motif (TCACA) upstream of EGR/SP1 overlapping region on promoters was identified. Herein, we examined whether four other mesenchymal markers, lymphoid enhancer-binding factor (LEF), fibronectin (FN), cyclooxygenase 2 (COX2), and collagen type alpha I (COL1A1) are upregulated by SNA in a similar fashion. Expectedly, SNA is essential for expression of these mesenchymal genes. By deletion mapping and site directed mutagenesis coupled with dual luciferase promoter assay, SNA-binding motif and EGR1/SP1 overlapping region are required for TPA-induced transcription of LEF, FN, COX2 and COL1A1. Consistently, TPA induced binding of SNA and EGR1/SP1 on relevant promoter regions of these mesenchymal genes using ChIP and EMSA. Thus far, we found six of the mesenchymal genes are transcriptionally upregulated by SNA in the same fashion. Moreover, comprehensive screening revealed similar sequence architectures on promoter regions of other SNA-upregulated mesenchymal markers, suggesting that a general model for SNA-upregulated mesenchymal genes can be established. Show less
no PDF DOI: 10.3390/cells10092202
SNAI1
Yang Yang, Mingyang Feng, LiangLiang Bai +10 more · 2021 · Journal of translational medicine · BioMed Central · added 2026-04-24
EMT is an important biological process in the mechanism of tumor invasion and metastasis. However, there are still many unknowns about the specific mechanism of EMT in tumor. At present, a comprehensi Show more
EMT is an important biological process in the mechanism of tumor invasion and metastasis. However, there are still many unknowns about the specific mechanism of EMT in tumor. At present, a comprehensive analysis of EMT-related genes in colorectal cancer (CRC) is still lacking. All the data were downloaded from public databases including TCGA database (488 tumor samples and 52 normal samples) as the training set and the GEO database (GSE40967 including 566 tumor samples and 19 normal samples, GSE12945 including 62 tumor samples, GSE17536 including 177 tumor samples, GSE17537 including 55 tumor samples) as the validation sets. One hundred and sixty-six EMT-related genes (EMT-RDGs) were selected from the Molecular Signatures Database. Bioinformatics methods were used to analyze the correlation between EMT-RDGs and CRC prognosis, metastasis, drug efficacy, and immunity. We finally obtained nine prognostic-related EMT-RDGs (FGF8, NOG, PHLDB2, SIX2, SNAI1, TBX5, TIAM1, TWIST1, TCF15) through differential expression analysis, Unicox and Lasso regression analysis, and then constructed a risk prognosis model. There were significant differences in clinical characteristics, 22 immune cells, and immune functions between the high-risk and low-risk groups and the different states of the nine prognostic-related EMT-RDGs. The methylation level and mutation status of nine prognostic-related EMT-RDGs all affect their regulation of EMT. The Cox proportional hazards regression model was also constructed by the methylation sites of nine prognostic-related EMT-RDGs. In addition, the expression of FGF8, PHLDB2, SIX2, and SNAIL was higher and the expression level of NOG and TWIST1 was lower in the non-metastasis CRC group. Nine prognostic-related EMT-RDGs also affected the drug treatment response of CRC. Targeting these nine prognostic-related EMT-RDGs can regulate CRC metastasis and immune, which is beneficial for the prognosis of CRC patients, improve drug sensitivity in CRC patients. Show less
no PDF DOI: 10.1186/s12967-021-03065-0
SNAI1
Zhaoping Qiu, Bo Dong, Weijie Guo +7 more · 2021 · Theranostics · added 2026-04-24
SNAI1 is widely regarded as a master driver of epithelial-mesenchymal transition (EMT) and associated with breast cancer progression and metastasis. This pro-malignant role is strongly linked to postt Show more
SNAI1 is widely regarded as a master driver of epithelial-mesenchymal transition (EMT) and associated with breast cancer progression and metastasis. This pro-malignant role is strongly linked to posttranslational modification, especially phosphorylation, which controls its protein levels and subcellular localization. While multiple kinases are implicated in regulation of SNAI1 stability, the precise mechanism by which SNAI1 is stabilized in tumors remains to be fully elucidated. Show less
no PDF DOI: 10.7150/thno.62406
SNAI1
Christian R Pangilinan, Li-Hsien Wu, Che-Hsin Lee · 2021 · Cancers · MDPI · added 2026-04-24
Targeting metastasis is a vital strategy to improve the clinical outcome of cancer patients, specifically in cases with high-grade malignancies. Here, we employed a
no PDF DOI: 10.3390/cancers13122894
SNAI1
Wenbing Ying, Kesi Zheng, Yuanzhao Wu +1 more · 2021 · Biological & pharmaceutical bulletin · added 2026-04-24
Pannexin 1 (PANX1) has been implicated in cancer emergence and progression. However, its roles in gastric cancer remain unclear. In the present study, the function and molecular mechanisms of PANX1 in Show more
Pannexin 1 (PANX1) has been implicated in cancer emergence and progression. However, its roles in gastric cancer remain unclear. In the present study, the function and molecular mechanisms of PANX1 in gastric cancer were investigated in vitro. Two gastric cancer cell lines exhibiting low and high PANX1 expression (SNU-16 and HCG-27, respectively) were transfected using a PANX1-containing plasmid or PANX1 transcript-targeting short hairpin (sh)RNA. In addition, HCG-27 cells and PANX1-overexpressing SNU-16 cells were subjected to short interfering (si)RNA-mediated aquaporin 5 (AQP5) knockdown. In vitro cell migration (scratch) and transwell invasion assays were performed to evaluate the cell migratory and invasive abilities. Real-time fluorescence quantitative PCR was used to detect transcripts encoding epithelial-mesenchymal transition markers. Immunofluorescence and Western blotting were conducted to quantify corresponding proteins. In SNU-16 cells, PANX1 overexpression induced conversion from round (cobblestone-like) to elongated (spindle-like) morphologies and enhanced the cell migratory and invasive abilities. PANX1 knockdown had the opposite effect in HGC-27 cells. In PANX1-overexpressing SNU-16 cells, expression of SLUG, vimentin, and AQP5 was significantly upregulated, whereas expression of E-cadherin was downregulated. In HGC-27 cells, PANX1 knockdown showed the opposite effect. In both PANX1-overexpressing SNU-16 cells and untransfected HGC-27 cells, silencing of AQP5 expression significantly inhibited PANX1-induced upregulation of SLUG and vimentin expression, as well as downregulation of E-cadherin expression and enhanced migratory and invasive abilities. In summary, elevated PANX1 expression induces gastric cancer cell epithelial-mesenchymal transition and the associated promotion of migratory and invasive abilities by inducing expression of AQP5, which facilitates SLUG-mediated regulation of vimentin and E-cadherin expression. Show less
no PDF DOI: 10.1248/bpb.b21-00292
SNAI1
Tao-Tao Tang, Bin Wang, Zuo-Lin Li +14 more · 2021 · Journal of the American Society of Nephrology : JASN · added 2026-04-24
AKI is a significant public health problem with high morbidity and mortality. Unfortunately, no definitive treatment is available for AKI. RNA interference (RNAi) provides a new and potent method for Show more
AKI is a significant public health problem with high morbidity and mortality. Unfortunately, no definitive treatment is available for AKI. RNA interference (RNAi) provides a new and potent method for gene therapy to tackle this issue. We engineered red blood cell-derived extracellular vesicles (REVs) with targeting peptides and therapeutic siRNAs to treat experimental AKI in a mouse model after renal ischemia/reperfusion (I/R) injury and unilateral ureteral obstruction (UUO). Phage display identified peptides that bind to the kidney injury molecule-1 (Kim-1). RNA-sequencing (RNA-seq) characterized the transcriptome of ischemic kidney to explore potential therapeutic targets. REVs targeted with Kim-1-binding LTH peptide (REV A red blood cell-derived extracellular vesicle platform targeted Kim-1 in acutely injured mouse kidney and delivered siRNAs for transcription factors Show less
no PDF DOI: 10.1681/ASN.2020111561
SNAI1
Cuei-Jyuan Lin, Way-Ren Huang, Chia-Zhen Wu +1 more · 2021 · Oncology letters · added 2026-04-24
Ovarian clear cell carcinoma (OCCC) is characterized by a poor survival of patients, which is mainly due to metastasis and treatment failure. Slit guidance ligand 2 (SLIT2), a secreted protein, has be Show more
Ovarian clear cell carcinoma (OCCC) is characterized by a poor survival of patients, which is mainly due to metastasis and treatment failure. Slit guidance ligand 2 (SLIT2), a secreted protein, has been reported to modulate the migration of neural cells and human cancer cells. However, the effect of changes in SLIT2 expression on the regulation of cell migration in OCCC remains unknown. The present study examined alterations in SLIT2 expression using OCCC cell models, including low- and high-mobility SKOV3 cells, as well as OCCC tissues. DNA methylation analysis suggested that promoter hypermethylation was responsible for the low expression levels of SLIT2 in OCCC cells. The demethylating agent 5-Aza-deoxycytosine was able to restore SLIT2 expression at both the mRNA and protein levels in high-mobility SKOV3 cells that harbored the relevant methylated promoter. Overexpression of SLIT2 inhibited the migration of high-mobility OCCC cells, as well as decreased the protein expression levels of β-catenin, phosphorylated (p)AKT and snail family transcriptional repressor 1 (SNAI1). On the other hand, knockdown of SLIT2 increased the migration of low-mobility OCCC cells, and enhanced the protein expression levels of β-catenin, pAKT and SNAI1. Overall, the results of the present study provided evidence that low expression levels of SLIT2 were associated with increased OCCC cell migration, and that SLIT2 may act as a suppressor gene of cancer cell migration. Show less
no PDF DOI: 10.3892/ol.2021.12812
SNAI1
Chiyang Li, Chengshuo Fei, Junjie Li +9 more · 2021 · Molecular medicine reports · added 2026-04-24
Glioma is the most common type of central nervous system tumor. SWItch/sucrose non‑fermentable (SWI/SNF) is a tumor suppressor that serves an important role in epithelial‑mesenchymal transition (EMT). Show more
Glioma is the most common type of central nervous system tumor. SWItch/sucrose non‑fermentable (SWI/SNF) is a tumor suppressor that serves an important role in epithelial‑mesenchymal transition (EMT). The present study aimed to identify key molecules involved in the EMT process. SWI/SNF related, matrix associated, actin dependent regulator of chromatin subfamily c member 2 (SMARCC2) is mutated in and its expression is low in multiple types of cancer. SMARCC2 is the core subunit of the chromatin‑remodeling complex, SWI/SNF. Relative mRNA SMARCC2 expression levels in human glioma tissue were analyzed via reverse transcription‑quantitative PCR, whereas the protein expression levels were determined via immunohistochemistry staining. SMARCC2 expression was knocked down in glioma cells using small interfering RNA (si) and overexpressed by infection with adenovirus vectors carrying SMARCC2 cDNA. Wound healing and Transwell assays were performed to assess cell migration and invasion, respectively. Subsequently, immunofluorescence and western blotting were performed to analyze the expression levels of the oncogene c‑Myc, which is associated with SMARCC2. SMARCC2 combines with C‑MYC to downregulate its expression. Consistent with the results of the bioinformatics analysis, which revealed that the upregulated expression levels of SMARCC2 were associated with a more favorable prognosis in patients with glioma, the mRNA and protein expression levels of SMARCC2 were significantly upregulated in low‑grade glioma tissues compared with high‑grade glioma tissues. The results of the wound healing assay demonstrated that cell migration was significantly increased in the siSMARCC2‑1/3 groups compared with the negative control (NC) group. By contrast, the migratory ability of cells was significantly reduced following transduction with adenovirus overexpressing SMARCC2, which upregulated the expression of SMARCC2, compared with the lentiviral vector‑non‑specific control (LVS‑NC) group. The Transwell assay results further showed that SMARCC2 overexpression significantly inhibited the migratory and invasive abilities of U87MG and LN229 cells compared with the LVS‑NC group. Co‑immunoprecipitation assays were subsequently conducted to validate the binding of SMARCC2 and c‑Myc; the results demonstrated that the expression of c‑Myc was downregulated in adenovirus‑transfected cells compared with LVS‑NC‑transfected cells. The results of the western blotting experiments demonstrated that the expression levels of N‑cadherin, vimentin, snail family transcriptional repressor 1 and β‑catenin were notably downregulated, whereas the expression levels of T‑cadherin were markedly upregulated in cell lines stably overexpressing SMARCC2 compared with the LVS‑NC group. In conclusion, the results of the present study suggested that SMARCC2 may inhibit Wnt/β‑catenin signaling by regulating c‑Myc expression in glioma. SMARCC2 regulates the EMT status of the glioblastoma cell line by mediating the expression of the oncogene C‑MYC to inhibit its migration and invasion ability. Thus, SMARCC2 may function as a tumor suppressor or oncogene by regulating associated oncogenes or tumor suppressor genes. Show less
no PDF DOI: 10.3892/mmr.2021.12190
SNAI1
Mohammad S Zaman, Shital K Barman, Susan M Corley +3 more · 2021 · Metallomics : integrated biometal science · Oxford University Press · added 2026-04-24
A significant gap in the knowledge of zinc homeostasis exists for breast cancer cells. In this study, we investigated the transcriptomic response of the luminal breast cancer cells (MCF-7) to the expo Show more
A significant gap in the knowledge of zinc homeostasis exists for breast cancer cells. In this study, we investigated the transcriptomic response of the luminal breast cancer cells (MCF-7) to the exposure of extracellular zinc using next-generation RNA sequencing. The dataset was collected for three time points (T0, T30, and T120) in the time course of zinc treatment, which revealed the dramatic increase, up to 869-fold, of the gene expression for metallothioneins (MT1B, MT1F, MT1X, and MT2A) and the zinc exporter ZnT1 (SLC30A1) at T30, continuingly through to T120. The similar dynamic expression pattern was found for the autophagy-related gene (VMP1) and numerous genes for zinc finger proteins (e.g. RNF165, ZNF365, ZBTB2, SNAI1, ZNF442, ZNF547, ZNF563, and ZNF296). These findings point to the all-hands-on-deck strategy adopted by the cancer cells for maintaining zinc homeostasis. The stress responsive genes encoding heat shock proteins (HSPA1A, HSPA1B, HSPA1L, HSPA4L, HSPA6, HSPA8, HSPH1, HSP90AA1, and HSP90AB1) and the MTF-1 biomarker genes (AKR1C2, CLU, ATF3, GDF15, HMOX1, MAP1A, MAFG, SESN2, and UBC) were also differentially up-regulated at T120, suggesting a role of heat shock proteins and the MTF-1 related stress proteins in dealing with zinc exposure. It is for the first time that the gene encoding Polo-like kinase 2 (PLK2) was found to be involved in zinc-related response. The top differentially expressed genes were validated by qRT-PCR and further extended to the basal type breast cancer cells (MDA-MB-231). It was found that the expression level of SLC30A1 in MDA-MB-231 was higher than MCF-7 in response to zinc exposure. Taken together, the findings contribute to our knowledge and understanding of zinc homeostasis in breast cancer cells. Show less
no PDF DOI: 10.1093/mtomcs/mfab026
SNAI1
Chao Jing, Xingchen Li, Mengqian Zhou +13 more · 2021 · Theranostics · added 2026-04-24
Metastasis and chemoresistance are major causes of poor prognosis in patients with esophageal squamous cell carcinoma (ESCC), manipulated by multiple factors including deubiquitinating enzyme (DUB). D Show more
Metastasis and chemoresistance are major causes of poor prognosis in patients with esophageal squamous cell carcinoma (ESCC), manipulated by multiple factors including deubiquitinating enzyme (DUB). DUB PSMD14 is reported to be a promising therapeutic target in various cancers. Here, we explored the antitumor activity of Thiolutin (THL), the PSMD14 inhibitor, as a new therapy strategy in ESCC. Show less
no PDF DOI: 10.7150/thno.46109
SNAI1
Weibo Chen, Junyi Wu, Weiwei Shi +6 more · 2021 · Cancer science · Blackwell Publishing · added 2026-04-24
Metastasis is a major obstacle to better prognosis in patients with hepatocellular carcinoma (HCC). Mesenchymal-epithelial transition (MET) is the driving force for metastatic colonization in which E- Show more
Metastasis is a major obstacle to better prognosis in patients with hepatocellular carcinoma (HCC). Mesenchymal-epithelial transition (MET) is the driving force for metastatic colonization in which E-cadherin re-expression is a critical procedure. It has been reported that the loss of paired-related homeobox transcription factor 1 (PRRX1) is required for cancer cell metastasis. However, the role of PRRX1 in MET and how its downregulation triggers E-cadherin re-expression are unknown. In this study, we performed a systematic, mechanistic study regarding the role of PRRX1 in MET of HCC. We observed PRRX1 downregulation in HCC tissues, which correlated with early metastasis and short overall survival. Overexpression of PRRX1 induced epithelial-mesenchymal transition (EMT), but did not promote metastasis formation, while knockdown of PRRX1 promoted metastasis and colonization of circulating HCC cells as shown in animal model. PRRX1 protein levels reversely correlated with E-cadherin levels in HCC cell lines. PRRX1 knockdown promoted E-cadherin re-expression and cell proliferation and inhibited cell invasion and migration. The microarray results showed that PRRX1 deficiency regulated extracellular matrix (ECM) interaction, focal adhesion, TGF-β signaling and cancer pathways. PRRX1 knockdown upregulated paired-like homeodomain 2 (PITX2) and inhibited catenin beta 1 (CTNNB1) and SNAIL family zinc finger 2 (SLUG). Silencing of PITX2 reversed CTNNB1 and SLUG inhibition and E-cadherin re-expression. PITX2 upregulation increased miR-200a and miR-200b/429, which further inhibited the transcription of CTNNB1 and SLUG, respectively, thus abrogating the inhibitory effect on E-cadherin. In conclusion, our data showed that the downregulation of PRRX1 induced E-cadherin re-expression through PITX2/miR-200a/CTNNB1 and PITX2/miR-200b/429/SLUG pathway. Show less
no PDF DOI: 10.1111/cas.14853
SNAI1
Mengmeng Yang, Zongyu Li, Jianping Tao +9 more · 2021 · Journal of cancer research and clinical oncology · Springer · added 2026-04-24
Recent clinical trials with agents targeting immune checkpoint pathway have emerged as an important therapeutic approach for a broad range of cancer types. Resveratrol has been shown to possess cancer Show more
Recent clinical trials with agents targeting immune checkpoint pathway have emerged as an important therapeutic approach for a broad range of cancer types. Resveratrol has been shown to possess cancer preventive and therapeutic effects and has potential to be chemotherapeutic agent/adjuvant. Here, we assessed the effect of resveratrol on immune checkpoint pathways. The expression patterns of Wnt components and PD-L1 were examined by Western blot, Chromatin immunoprecipitation (ChIP) was used for analysis of DNA-protein interaction, the promoter activity was determined by luciferase reporter assay, apoptosis was analyzed by flow cytometry and the ability of the resveratrol to modulate T cell function was assessed in a co-culture system. Although the dose-, and cell-type dependent effects of resveratrol on PD-L1 expression have been reported, we show here that resveratrol dose-dependently upregulates PD-L1 expression at the range of pharmacologic-achievable concentrations in lung cancer cells and that is essential for suppression of T-cell-mediated immune response. We also found that Wnt pathway is critical for mediating resveratrol-induced PD-L1 upregulation. Mechanistically, resveratrol activates SirT1 deacetylase to deacetylate and stabilize transcriptional factor Snail. Snail in turn inhibits transcription of Axin2, which leads in disassembly of destruction complex and enhanced binding of β-catenin/TCF to PD-L1 promoter. We conclude that resveratrol is capable to suppress anti-tumor immunity by controlling mainly PD-L1 expression. This finding will extend the understanding of resveratrol in regulation of tumor immunity and is relevant to the debate on resveratrol supplements for lung cancer patients. Show less
no PDF DOI: 10.1007/s00432-021-03510-z
SNAI1
Liang Wu, Ning Zhao, Zili Zhou +6 more · 2021 · Theranostics · added 2026-04-24
no PDF DOI: 10.7150/thno.47800
SNAI1
Yanzhe Wang, Yuyuan Liu, Ling Zhang +5 more · 2021 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Renal tubulointerstitial fibrosis plays a significant role in the development of diabetic nephropathy (DN). SNAI1 is a main activator of epithelial-to-mesenchymal transition (EMT) in the process of fi Show more
Renal tubulointerstitial fibrosis plays a significant role in the development of diabetic nephropathy (DN). SNAI1 is a main activator of epithelial-to-mesenchymal transition (EMT) in the process of fibrosis. This study aimed to investigate the effect of miR-30b-5p targeting SNAI1 on the EMT in DN. Bioinformatics and miRNAs microarray analyses were used to predict the candidate miRNA targeting SNAI1, that is miR-30b-5p. The db/db mice was as DN animal model and renal tissues of mice were stained with PAS. The miR-30b-5p expression in mouse and human renal tissue were examined by quantitative RT-PCR (qRT-PCR) and fluorescence in situ hybridization (FISH), while SNAI1 expression was determined by qRT-PCR and immunohistochemistry. Luciferase reporter gene assay was used to confirm miR-30b-5p directly target 3'-UTR of the SNAI1 mRNA. In vitro, HK-2 cells were treated with high glucose to establish hyperglycemia cell model and transfected with miR-30b-5p mimics to overexpress miR-30b-5p. Expression of miR-30b-5p, SNAI1 and EMT related indicators (E-cadherin, a-SMA and Vimentin) in HK-2 cells under different treatments were determined by qRT-PCR and/or western-blot. In addition, immunofluorescence was performed to evaluate a-SMA expression in HK-2 cells under different treatments. Bioinformatics analyses revealed miR-30b-5p had complementary sequences with SNAI1 mRNA and the seed region of miR-30b-5p was conserved in human and a variety of animals, including mice. Microarray analysis showed miR-30b expression decreased in DN mice, which was further verified in db/db mice by qRT-PCR and in human DN by FISH. Contrary to miR-30b-5p, SNAI1 expression level was upregulated in db/db mice. Correlation analysis suggested SNAI1 mRNA level was negatively with miR-30b-5p level in renal tissue of db/db mice. Luciferase reporter gene assay confirmed miR-30b-5p directly targeted SNAI1 mRNA. In high glucose induced HK-2 cells, expression levels of miR-30b-5p and E-cadherin were decreased, while SNAI1, a-SMA and Vimentin were increased. Overexpression miR-30b-5p in high glucose induced HK-2 cells could reverse that phenomenon to some extent. These findings suggest that miR-30b-5p play a protective role by targeting SNAI1 in renal EMT in DN. Show less
no PDF DOI: 10.1016/j.bbrc.2020.10.096
SNAI1
Tian Jiang, Hao Wu, Miao Lin +4 more · 2021 · Carcinogenesis · Oxford University Press · added 2026-04-24
Lung adenocarcinoma (LUAD) is one of the most common types of cancer and has a low survival rate. β-1,4-N-Acetyl galactosaminyltransferase 1 (B4GALNT1), which is involved in the synthesis of complex g Show more
Lung adenocarcinoma (LUAD) is one of the most common types of cancer and has a low survival rate. β-1,4-N-Acetyl galactosaminyltransferase 1 (B4GALNT1), which is involved in the synthesis of complex gangliosides, is highly expressed in the progression of various cancers. This study aimed to elucidate the biological functions of B4GALNT1 in LUAD progression and metastasis. We observed that B4GALNT1 overexpression showed enhanced cell migration and invasion in vitro, and promoted tumor metastasis, with reduced survival in mice. Mechanistically, B4GALNT1 regulated metastatic potential of LUAD through activating the JNK/c-Jun/Slug pathway, and with the form of its enzymatic activity. Clinical samples confirmed that B4GALNT1 expression was upregulated in LUAD, and B4GALNT1 was correlated with c-Jun/Slug expression, lymph node involvement, advanced clinical stage, and reduced overall survival. Collectively, our results suggest that B4GALNT1 promotes progression and metastasis of LUAD through activating JNK/c-Jun/Slug signaling, and with the form of its enzymatic activity. Show less
no PDF DOI: 10.1093/carcin/bgaa141
SNAI1
Dandan Wu, Yumin Ke, Rongrong Xiao +3 more · 2021 · Experimental cell research · Elsevier · added 2026-04-24
Epithelial ovarian cancer (EOC) is a highly fatal gynecological cancer. A long noncoding RNA (lncRNA) gastric cancer-associated lncRNA1 (GClnc1) has been revealed to play critical roles in metastasis. Show more
Epithelial ovarian cancer (EOC) is a highly fatal gynecological cancer. A long noncoding RNA (lncRNA) gastric cancer-associated lncRNA1 (GClnc1) has been revealed to play critical roles in metastasis. Therefore, the present study aims to explore the correlation between GClnc1 and the metastasis and progression of EOC. First, 57 paired EOC and paracancerous tissues were collected to detect GClnc1 expression by RT-qPCR. Subsequently, OVC1 and SKOV3 cells with GClnc1 silencing/overexpression were developed to detect changes in cell activity, apoptosis, migration and invasion abilities. Then, the subcellular localization of GClnc1 was detected by nuclear/cytoplasmic fractionation, ISH and FISH assays. The binding relationships between GClnc1 and forkhead box protein C2 (FOXC2), and between FOXC2 and NOTCH1 were predicted and verified. GClnc1 was significantly overexpressed in EOC tissues, and knockdown of GClnc1 inhibited cell viability and promoted apoptosis. Moreover, GClnc1 in the nucleus bound to the transcription factor FOXC2, thereby activating the transcription of NOTCH1. NOTCH1 overexpression enhanced the proliferation and epithelial-mesenchymal transition of SKOV3 and OVC1 cells. Moreover, NOTCH1 activated the NF-κB/Snail signaling. Finally, in vivo experiments demonstrated that GClnc1 knockdown suppressed the growth and metastasis of SKOV3 and OVC1 cells in vivo. GClnc1 promoted NOTCH1 transcription by recruiting FOXC2, thereby activating the NF-κB/Snail signaling and promoting EOC cell growth and metastasis. Show less
no PDF DOI: 10.1016/j.yexcr.2020.112422
SNAI1
Junhui Yu, Shan Li, Zhengshui Xu +5 more · 2021 · British journal of cancer · Nature · added 2026-04-24
Emerging evidence suggests the involvement of caudal-related homoeobox transcription factor 2 (CDX2) in tumorigenesis of various cancers. Although CDX2 functions in cancer invasion and metastasis, few Show more
Emerging evidence suggests the involvement of caudal-related homoeobox transcription factor 2 (CDX2) in tumorigenesis of various cancers. Although CDX2 functions in cancer invasion and metastasis, fewer studies focus on the role of CDX2 during the induction of epithelial-mesenchymal transition (EMT) in colorectal cancer (CRC). Immunohistochemical analysis of CDX2 was performed. A series of in vitro and in vivo experiments were conducted to reveal the role of CDX2 in the invasion and metastasis of CRC. CDX2 was downregulated in CRC tissues and reduced CDX2 correlated with poor prognosis. Knockdown of CDX2 promoted colon cancer cell invasion in vitro and facilitated liver metastasis in vivo with inducing EMT phenotypes. Further investigation indicated that CDX2 retarded Akt and GSK-3β phosphorylation, and thereby diminished Snail expression, β-catenin stabilisation and nuclear translocation. The depletion of β-catenin neutralised the regulation of Slug and ZEB1 by CDX2 knockdown. Mechanistically, CDX2 antagonised PI3K/Akt activity in CRC by modulating PTEN expression. CDX2 directly bound to the promoter of PTEN and transactivated its expression. Our study first uncovered that CDX2 inhibits EMT and metastasis of CRC by regulation of Snail expression and β-catenin stabilisation via transactivation of PTEN expression. Show less
no PDF DOI: 10.1038/s41416-020-01148-1
SNAI1
Gabrielle Edwards, Taaliah Campbell, Veronica Henderson +5 more · 2021 · Biochimie · Elsevier · added 2026-04-24
Neurite outgrowth involves reciprocal signaling interactions between tumor cells and nerves where invading tumor cells have acquired the ability to respond to pro-invasive signals within the nerve env Show more
Neurite outgrowth involves reciprocal signaling interactions between tumor cells and nerves where invading tumor cells have acquired the ability to respond to pro-invasive signals within the nerve environment. Neurite outgrowth could serve as a mechanism leading to invasion of cancer cells into the nerve sheath and subsequent metastasis. Snail transcription factor can promote migration and invasion of prostate cancer cells. We hypothesized that prostate cancer cell interaction with nerve cells will be mediated by Snail expression within prostate cancer cells. For this study we utilized various prostate cancer cell lines: C4-2 non-silencing (NS, control); C4-2 Snail shRNA, (stable Snail knockdown); LNCaP Neo (empty vector control) and LNCaP Snail (stably over-expressing Snail). Cancer cell adhesion and migration towards nerve cells (snF96.2 or NS20Y) was examined by co-culture assays. Conditioned media (CM) collected from C4-2 cells was cultured with nerve cells (PC-12 or NS20Y) for 48 h followed by qualitative or quantitative neurite outgrowth assay. Our results showed that cancer cells expressing high levels of Snail (LNCaP Snail/C4-2 NS) displayed significantly higher migration adherence to nerve cells, compared to cells with lower levels of Snail (LNCaP Neo/C4-2 Snail shRNA). Additionally, LNCaP Snail or C4-2 NS (Snail-high) CM led to a higher neurite outgrowth compared to the LNCaP Neo or C4-2 Snail shRNA (Snail-low). In conclusion, Snail promotes migration and adhesion to nerve cells, as well as neurite outgrowth via secretion of soluble factors. Therefore, targeting cancer cell interaction with nerves may contribute to halting prostate cancer progression/metastasis. Show less
no PDF DOI: 10.1016/j.biochi.2020.10.012
SNAI1
J Peng, H J Wu, H F Zhang +2 more · 2021 · Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · Springer · added 2026-04-24
To explore FGF1 and miR-143-3p expression in hepatocellular carcinoma (HCC) cells and its related mechanisms. Eighty-two HCC patients treated at our hospital from January 2018 to January 2019 were enr Show more
To explore FGF1 and miR-143-3p expression in hepatocellular carcinoma (HCC) cells and its related mechanisms. Eighty-two HCC patients treated at our hospital from January 2018 to January 2019 were enrolled as Group A, while further 80 healthy people undergoing physical examinations during the same time period were enrolled as Group B. HCC cells and normal human liver cells were purchased, with HepG2 and SMMC-7721 cells transfected with pcDNA3.1-FGF1, si-FGF1, NC, miR-143-3p-inhibitor and miR-143-3p-mimics. FGF1 and miR-143-3p expression was detected by qRT-PCR. The expression of N-cadherin, vimentin, Snail, Slug, E-cadherin and γ-catenin was detected by Western Blotting (WB). Cell proliferation was detected by MTT assay. Cell invasion was detected by Transwell. Cell apoptosis was detected by flow cytometry (FCM). FGF1 was highly expressed but miR-143-3p was poorly expressed in HCC cells. Areas under the curves (AUCs) of the two indicators were > 0.8. The indicators were correlated with the age, gender, tumor invasion, degree of differentiation, tumor location and TNM staging of the patients. Silencing FGF1 and overexpressing miR-143-3p could promote cell apoptosis, inhibit cell growth, cell epithelial-mesenchymal transition (EMT) and the expression of N-cadherin, vimentin, Snail and Slug, and increase the expression of E-cadherin and γ-catenin. Dual luciferase reporter gene assay (DLRGA) confirmed that FGF1 and miR-143-3p had a targeted relationship. The rescue experiment showed that the proliferation, invasion and apoptosis of HepG2 and SMMC-7721 cells in the miR-143-3p-mimics+pcDNA3.1-FGF1 and miR-143-3p-inhibitor+Si-FGF1 groups were not different from those in the miR-NC group. Inhibiting FGF1 can upregulate miR-143-3p-mediated Hedgehog signaling pathway, and affect cells' EMT, proliferation and invasion, so FGF1 is expected to become a potential therapeutic target for HCC. Show less
no PDF DOI: 10.1007/s12094-020-02440-5
SNAI1
Hongyao Jia, Di Wu, Zhiru Zhang +1 more · 2021 · Bioorganic chemistry · Elsevier · added 2026-04-24
no PDF DOI: 10.1016/j.bioorg.2021.104726
TNKS1BP1
Yong-Ping Chen, Xiao-Jing Gu, Wei Song +10 more · 2021 · Journal of Parkinson's disease · added 2026-04-24
Genetic studies have indicated that variants in several lysosomal genes are risk factors for idiopathic Parkinson's disease (PD). However, the role of lysosomal genes in PD in Asian populations is lar Show more
Genetic studies have indicated that variants in several lysosomal genes are risk factors for idiopathic Parkinson's disease (PD). However, the role of lysosomal genes in PD in Asian populations is largely unknown. This study aimed to analyze rare variants in lysosomal related genes in Chinese population with early-onset and familial PD. In total, 1,136 participants, including 536 and 600 patients with sporadic early-onset PD (SEOPD) and familial PD, respectively, underwent whole-exome sequencing to assess the genetic etiology. Rare variants in PD were investigated in 67 candidate lysosomal related genes (LRGs), including 15 lysosomal function-related genes and 52 lysosomal storage disorder genes. Compared with the autosomal dominant PD (ADPD) or SEOPD cohorts, a much higher proportion of patients with multiple rare damaging variants of LRGs were found in the autosomal recessive PD (ARPD) cohort. At a gene level, rare damaging variants in GBA and MAN2B1 were enriched in PD, but in SCARB2, MCOLN1, LYST, VPS16, and VPS13C were much less in patients. At an allele level, GBA p. Leu483Pro was found to increase the risk of PD. Genotype-phenotype correlation showed no significance in the clinical features among patients carrying a discrepant number of rare variants in LRGs. Our study suggests rare variants in LRGs might be more important in the pathogenicity of ARPD cases compared with ADPD or SEOPD. We further confirm rare variants in GBA are involve in PD pathogenecity and other genes associated with PD identified in this study should be supported with more evidence. Show less
no PDF DOI: 10.3233/JPD-212658
VPS13C
Xun Tian, Xin Wang, Zifeng Cui +24 more · 2021 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Neoadjuvant chemotherapy (NACT) remains an attractive alternative for controlling locally advanced cervical cancer. However, approximately 15-34% of women do not respond to induction therapy. To devel Show more
Neoadjuvant chemotherapy (NACT) remains an attractive alternative for controlling locally advanced cervical cancer. However, approximately 15-34% of women do not respond to induction therapy. To develop a risk stratification tool, 56 patients with stage IB-IIB cervical cancer are included in 2 research centers from the discovery cohort. Patient-specific somatic mutations led to NACT non-responsiveness are identified by whole-exome sequencing. Next, CRISPR/Cas9-based library screenings are performed based on these genes to confirm their biological contribution to drug resistance. A 15-gene classifier is developed by generalized linear regression analysis combined with the logistic regression model. In an independent validation cohort of 102 patients, the classifier showed good predictive ability with an area under the curve of 0.80 (95% confidence interval (CI), 0.69-0.91). Furthermore, the 15-gene classifier is significantly associated with patient responsiveness to NACT in both univariate (odds ratio, 10.8; 95% CI, 3.55-32.86; Show less
no PDF DOI: 10.1002/advs.202001978
VPS13C
Xianpei Wu, Jinmin Zhao · 2021 · Medicine · added 2026-04-24
Skin cutaneous melanoma (SKCM) is a prevalent skin cancer whose metastatic form is dangerous due to its high morbidity and mortality. Previous studies have systematically established the vital role of Show more
Skin cutaneous melanoma (SKCM) is a prevalent skin cancer whose metastatic form is dangerous due to its high morbidity and mortality. Previous studies have systematically established the vital role of oxidative stress (OS) in melanoma progression. This study aimed to identify prognostic OS genes closely associated with SKCM and illustrate their potential mechanisms. Transcriptome data and corresponding clinical traits of patients with SKCM were retrieved from The Cancer Genome Atlas and Gene Expression Omnibus databases. A weighted gene co-expression network analysis was conducted to identify relationships between clinical features and OS genes in specific modules. Subsequently, Cox regression analysis was performed on candidate OS genes; four hub prognosis-associated OS genes (AKAP9, VPS13C, ACSL4, and HMOX2) were identified to construct a prognostic model. After a series of bioinformatics analysis, our prognostic model was identified significantly associated with the overall survival of patients with SKCM and metastatic ability of the cancer. Furthermore, our risk model demonstrated improved diagnostic accuracy in the Cancer Genome Atlas and Gene Expression Omnibus cohorts. In addition, we established 2 nomograms based on either risk score or hub genes, which displayed favorable discriminating ability for SKCM. Our results provide novel insight into the potential applications of OS-associated genes in SKCM. Show less
no PDF DOI: 10.1097/MD.0000000000024866
VPS13C
Naijin Zhang, Ying Zhang, Boquan Wu +8 more · 2021 · Redox biology · Elsevier · added 2026-04-24
Poly(ADP-ribose) polymerase 1 (PARP1) has a major regulatory role in cardiovascular disease. However, inhibiting PARP1 activity does not significantly improve clinical outcomes of cardiovascular disea Show more
Poly(ADP-ribose) polymerase 1 (PARP1) has a major regulatory role in cardiovascular disease. However, inhibiting PARP1 activity does not significantly improve clinical outcomes of cardiovascular disease, which suggests that the regulatory mechanism of PARP1 in cardiovascular disease is unclear. Here, we focused on deacetylation regulatory mechanisms of PARP1 and crosstalk of PARP1 post-translational modifications. We uncovered the crucial molecular interactions and protein modifications of deacetylase Sirtuin 2 (SIRT2) and PARP1 in vascular damage. The results showed that SIRT2 was involved in this process and oxidative stress damage factor PARP1 was a novel physiological substrate of SIRT2. SIRT2 interacted with PARP1 at the PARP-A-helical domain and deacetylated the K249 residue of PARP1. Furthermore, SIRT2 promoted ubiquitination of the K249 residue of PARP1 via mobilization of the E3 ubiquitin ligase WW domain-containing protein 2 (WWP2), which led to proteasome-mediated degradation of PARP1. Knockout of SIRT2 in mice and cells increased PARP1 acetylation and decreased PARP1 ubiquitination, which in turn aggravated oxidative stress-induced vascular injury and remodeling. Conversely, overexpression of SIRT2 in mice and cells decreased PARP1 acetylation, increased PARP1 ubiquitination, and relieved oxidative stress-induced vascular injury and remodeling. Overall, this study revealed a previously unrecognized mechanistic link between SIRT2 and PARP1 in the regulation of oxidative stress-induced vascular injury. Show less
no PDF DOI: 10.1016/j.redox.2021.102141
WWP2
Qiguo Zhang, Wenyu Gong, Hongyan Wu +11 more · 2021 · Carcinogenesis · Oxford University Press · added 2026-04-24
Bortezomib-based chemotherapy represents the most prevalent regimens for multiple myeloma (MM), whereas acquired drug resistance remains a major obstacle. Myeloma cells often produce excessive amount Show more
Bortezomib-based chemotherapy represents the most prevalent regimens for multiple myeloma (MM), whereas acquired drug resistance remains a major obstacle. Myeloma cells often produce excessive amount of dickkopf-1 (DKK1), giving rise to myeloma bone disease. However, it remains obscure about the effects and mechanisms of DKK1 in the progression and bortezomib responsiveness of MM cells. In the current study, we found WWP2, an E3 ubiquitin-protein ligase, was downregulated in the bortezomib-resistant cells along with high expression of DKK1. Further investigation revealed that WWP2 was a direct target of Wnt/β-catenin signaling pathway, and DKK1 suppressed the expression of WWP2 via canonical Wnt signaling. We further identified that WWP2 mediated the ubiquitination and degradation of GLI2, a main transcriptional factor of the Hedgehog (Hh) pathway. Therefore, DKK1-induced WWP2 downregulation improved GLI2 stability and activation of Hh signaling pathway, contributing to the resistance to bortezomib of MM cells. Clinical data also validated that WWP2 expression was associated with the treatment response and clinic outcomes of MM patients. WWP2 overexpression restricted MM progression and enhanced cell sensitivity to bortezomib treatment in vitro and in vivo. Taken together, our findings demonstrate that DKK1 facilitates the generation of bortezomib resistance in MM via downregulating WWP2 and activating Hh pathway. Thus, the manipulation of DKK1-WWP2-GLI2 axis might sensitize myeloma cells to proteasome inhibitors. Show less
no PDF DOI: 10.1093/carcin/bgab086
WWP2
Xiaoguang Fang, Zhi Huang, Kui Zhai +10 more · 2021 · Science translational medicine · Science · added 2026-04-24
Glioblastoma (GBM), a lethal primary brain tumor, contains glioma stem cells (GSCs) that promote malignant progression and therapeutic resistance. SOX2 is a core transcription factor that maintains th Show more
Glioblastoma (GBM), a lethal primary brain tumor, contains glioma stem cells (GSCs) that promote malignant progression and therapeutic resistance. SOX2 is a core transcription factor that maintains the properties of stem cells, including GSCs, but mechanisms associated with posttranslational SOX2 regulation in GSCs remain elusive. Here, we report that DNA-dependent protein kinase (DNA-PK) governs SOX2 stability through phosphorylation, resulting in GSC maintenance. Mass spectrometric analyses of SOX2-binding proteins showed that DNA-PK interacted with SOX2 in GSCs. The DNA-PK catalytic subunit (DNA-PKcs) was preferentially expressed in GSCs compared to matched non-stem cell tumor cells (NSTCs) isolated from patient-derived GBM xenografts. DNA-PKcs phosphorylated human SOX2 at S251, which stabilized SOX2 by preventing WWP2-mediated ubiquitination, thus promoting GSC maintenance. We then demonstrated that when the nuclear DNA of GSCs either in vitro or in GBM xenografts in mice was damaged by irradiation or treatment with etoposide, the DNA-PK complex dissociated from SOX2, which then interacted with WWP2, leading to SOX2 degradation and GSC differentiation. These results suggest that DNA-PKcs-mediated phosphorylation of S251 was critical for SOX2 stabilization and GSC maintenance. Pharmacological inhibition of DNA-PKcs with the DNA-PKcs inhibitor NU7441 reduced GSC tumorsphere formation in vitro and impaired growth of intracranial human GBM xenografts in mice as well as sensitized the GBM xenografts to radiotherapy. Our findings suggest that DNA-PK maintains GSCs in a stem cell state and that DNA damage triggers GSC differentiation through precise regulation of SOX2 stability, highlighting that DNA-PKcs has potential as a therapeutic target in glioblastoma. Show less
no PDF DOI: 10.1126/scitranslmed.abc7275
WWP2
Dongmei Bai, Yong Wu, Poonamjot Deol +4 more · 2021 · Cancer letters · Elsevier · added 2026-04-24
Chronic elevated free fatty (FFA) levels are linked to metabolic disorders and tumorigenesis. However, the molecular mechanism by which FFAs induce cancer remains poorly understood. Here, we show that Show more
Chronic elevated free fatty (FFA) levels are linked to metabolic disorders and tumorigenesis. However, the molecular mechanism by which FFAs induce cancer remains poorly understood. Here, we show that the tumor suppressor PTEN protein levels were decreased in high fat diet (HFD) fed mice. As palmitic acid (PA, C16:0) showed a significant increase in the HFD fed mice, we further investigated its role in PTEN down regulation. Our studies revealed that exposure of cells to high doses of PA induced mTOR/S6K-mediated phosphorylation of PTEN at T366. The phosphorylation subsequently enhanced the interaction of PTEN with the E3 ubiquitin ligase WW domain-containing protein 2 (WWP2), which promoted polyubiquitination of PTEN and protein degradation. Consistent with PTEN degradation, exposure of cells to increased concentrations of PA also promoted PTEN-mediated AKT activation and cell proliferation. Significantly, a higher level of S6K activation, PTEN T366 phosphorylation, and AKT activation were also observed in the livers of the HFD fed mice. These results provide a molecular mechanism by which a HFD and elevated PA regulate cell proliferation through inactivation of tumor suppressor PTEN. Show less
no PDF DOI: 10.1016/j.canlet.2020.10.007
WWP2
Elizabeth A Killion, Michelle Chen, James R Falsey +10 more · 2020 · Nature communications · Nature · added 2026-04-24
Antagonism or agonism of the glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) prevents weight gain and leads to dramatic weight loss in combination with glucagon-like peptide-1 recep Show more
Antagonism or agonism of the glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) prevents weight gain and leads to dramatic weight loss in combination with glucagon-like peptide-1 receptor agonists in preclinical models. Based on the genetic evidence supporting GIPR antagonism, we previously developed a mouse anti-murine GIPR antibody (muGIPR-Ab) that protected diet-induced obese (DIO) mice against body weight gain and improved multiple metabolic parameters. This work reconciles the similar preclinical body weight effects of GIPR antagonists and agonists in vivo, and here we show that chronic GIPR agonism desensitizes GIPR activity in primary adipocytes, both differentiated in vitro and adipose tissue in vivo, and functions like a GIPR antagonist. Additionally, GIPR activity in adipocytes is partially responsible for muGIPR-Ab to prevent weight gain in DIO mice, demonstrating a role of adipocyte GIPR in the regulation of adiposity in vivo. Show less
📄 PDF DOI: 10.1038/s41467-020-18751-8
GIPR
Yumin Wu, Tiemei Ji, Jie Lv +1 more · 2020 · Life sciences · Elsevier · added 2026-04-24
Glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) co-agonists have emerged as treatment options for reversing diabetes and obesity. Here, we sc Show more
Glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) co-agonists have emerged as treatment options for reversing diabetes and obesity. Here, we screened the high potency receptor-biased GLP-1R agonists via a newly designed high-throughput GLP-1R extracellular domain (ECD)-based system and demonstrated its in vitro and in vivo therapeutic characters. Twelve 9-mer peptides (named XEL1-XEL12) which were screened from a large phage-displayed peptide library were fused to the N-terminus of GIP (3-30) to generate another twelve fusion peptides, termed XEL13-24. Using the six lysine-altered XEL17 as leading sequences, eighteen fatty chain modified fusion peptides were further assessed via in vitro GLP-1R/GIPR-based cell assay. Moreover, the acute and long-acting in vivo effects of selected candidate on diabetic db/db mice and diet-induced obesity (DIO) rats were both carefully evaluated. XEL17 exhibited balanced activation potency on GLP-1R/GIPR in stable cell lines, and further assessment was performed to evaluate the XEL32, a fatty chain modified XEL17 derivative. Preclinical pharmacodynamic results in diabetic db/db mice demonstrated that XEL32 held outstanding insulinotropic and glucose-lowering activities. In addition, protracted antidiabetic effects of XEL32 were also proved by the hypoglycemic test and multiple oral glucose tolerance test. Furthermore, chronic treatment of XEL32 in DIO rats exhibited outstanding beneficial effects on body weight control, fat loss, food intake control, hemoglobin A1C (HbA1C) reduction as well as the glucose tolerance. XEL32, as a novel GLP-1/GIP dual receptor agonist, may supply efficient glycemic control and weight loss. Show less
no PDF DOI: 10.1016/j.lfs.2020.118025
GIPR
Zhi Liu, Fuyun Sun, Zitian Liu +8 more · 2020 · Medical science monitor : international medical journal of experimental and clinical research · added 2026-04-24
BACKGROUND The mechanism by which sleeve gastrectomy (SG) improves glycometabolism has remained unclear so far. Increasing evidence has demonstrated that bone is a regulator of glucose metabolism, and Show more
BACKGROUND The mechanism by which sleeve gastrectomy (SG) improves glycometabolism has remained unclear so far. Increasing evidence has demonstrated that bone is a regulator of glucose metabolism, and osteoblast-derived forkhead box O1 (FoxO1) and lipocalin-2 (LCN2) are regulators of energy metabolism. The aim of this study was to investigate whether the FOXO1/LCN2 signaling pathway is involved in the anti-diabetic effect of SG. MATERIAL AND METHODS Insulin resistance was induced in Wistar rats, which were then intraperitoneally injected with streptozotocin to induce a type 2 diabetic state. Levels of fasting blood glucose, serum insulin, HbA1c, and LCN2 were analyzed at corresponding time points after SG and sham surgeries. The expressions of FOXO1, LCN2, and the melanocortin 4 receptor (MC4R) in bone and hypothalamus were detected by immunofluorescence. FOXO1 siRNA was applied to downregulate FOXO1 expression in osteoblasts of rats. The influence of FOXO1 gene on expression of LCN2 was investigated in cultured osteoblasts by western blot and PCR. RESULTS Glucose metabolism in the SG group was significantly improved. The LCN2 expression in bone in the SG group was higher than that in the sham group, whereas FOXO1 expression in the SG group was lower than that in the sham group. The binding rate of LCN2 and MC4R in the hypothalamus was also higher in the SG group compared with that in the sham group. The downregulation of FOXO1 expression in osteoblasts was accompanied by upregulation of LCN2 expression. CONCLUSIONS These results suggest that the FOXO1/LCN2 signaling pathway participates in the anti-diabetic effect of SG. Show less
📄 PDF DOI: 10.12659/MSM.927458
MC4R