👤 Di-Mei Xu

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Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Yanyong Xu, Shengjie Xu, Nong Xu, D-J Xu, Hongfa Xu, Shiyi Xu, Yunjian Xu, Maochang Xu, Lingyan Xu, Guoheng Xu, Zaibin Xu, Yuexuan Xu, Jinhe Xu, Yitong Xu, Yaping Xu, Miao Xu, Hongming Xu, Jiang Xu, Feng-Qin Xu, Zaihua Xu, Yaru Xu, Yuanzhong Xu, Qiuyu Xu, Mingcong Xu, Mai Xu, Biao Xu, Jingjun Xu, Shuwan Xu, Ya-Ru Xu, Zhilong Xu, Jun-Chao Xu, Shutao Xu, TianBo Xu, Jinyu Xu, Jie-Hua Xu, Peng Xu, Guo-Xing Xu, Yushan Xu, Yongsong Xu, Xin-Rong Xu, Bilin Xu, Xiang-Min Xu, Xiaolong Xu, Jinchao Xu, Han Xu, Xuting Xu, Yu Xu, Yingqianxi Xu, Yanyang Xu, Aili Xu, Weizhi Xu, Peidi Xu, Tongyang Xu, Tieshan Xu, Jianping Xu, Wen-Juan Xu, Bing Xu, Chengyun Xu, Xiaofeng Xu, Zhengang Xu, Guang-Hong Xu, Fangui Xu, Shan-Shan Xu, Song-Song Xu, Hailiang Xu, Quanzhong Xu, Mengqi Xu, Gezhi Xu, Dawei Xu, Linyan Xu, Yidan Xu, Meishu Xu, Tonghong Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Hanyuan Xu, Liang Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Jiancheng Xu, Boming Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Xiang-liang Xu, Yana Xu, Richard H Xu, Yanchang Xu, Danyi Xu, Xiaocheng Xu, Lingli Xu, Chengqi Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Xuan Xu, Hongle Xu, Jielin Xu, Yuping Xu, Limin Xu, Yinli Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Jingjing Xu, Weilan Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Jiachi Xu, Shang-Fu Xu, Yuejuan Xu, Zhi-Qing David Xu, Chao Xu, Yi-Xian Xu, Longfei Xu, Ziwei Xu, Mengyue Xu, Jingying Xu, Wenhui Xu, Zi-Xiang Xu, Caixia Xu, Chenjie Xu, Jiacheng Xu, Xiaoting Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Qingqiu Xu, Gangchun Xu, Yanjun Xu, Qiong Xu, Zifan Xu, Wenxuan Xu, Jiayunzhu Xu, Yifeng Xu, DongZhu Xu, Lingna Xu, Qianzhu Xu, Bocheng Xu, Qingjia Xu, Yanni Xu, Li-Yan Xu, Benhong Xu, Fang Xu, Xingsheng Xu, Geyang Xu, Anqi Xu, Zeao Xu, Mengsi Xu, Jun Xu, Qiuhong Xu, Ning'an Xu, Lian-Wei Xu, H F Xu, Danping Xu, Hua Xu, Xiaofang Xu, Shanshan Xu, Sheng-Qian Xu, Bingxin Xu, Ke Xu, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Changwu Xu, Beibei Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Jinshu Xu, Xinyu Xu, Laizhi Xu, Meiyu Xu, Bi-Yun Xu, Mingliang Xu, Weixia Xu, Bingfang Xu, Suling Xu, W W Xu, Lidan Xu, Chengkai Xu, Feng Xu, Yunhe Xu, Zesheng Xu, Li Xu, Song Xu, Yungen Xu, Yaobo Xu, Qinli Xu, Yi-Liang Xu, Dong Xu, Tan Xu, Ruiling Xu, Wanqi Xu, Ziyang Xu, Xiaohong Ruby Xu, Guangyu Xu, Xiao-Shan Xu, Wenxin Xu, Yongsheng Xu, Jingya Xu, Zhong-Hua Xu, Jiajie Xu, Dan Xu, Youjia Xu, Longsheng Xu, Mengjie Xu, Guo-Tong Xu, Ting Xu, Chunwei Xu, Tianmin Xu, Xianghong Xu, Nenggui Xu, Hongxia Xu, Meixi Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Kelin Xu, Shengyu Xu, Xiaoqin Xu, Zheng Xu, Junchang Xu, Jiaying Xu, Beisi Xu, Chunyu Xu, Zhen-Guo Xu, Haonan Xu, Tianyi Xu, Haiman Xu, Lili Xu, Yi Xu, Dongju Xu, Qihang Xu, Zihua Xu, Zhongwei Xu, Qikui Xu, Li-Jun Xu, Zhijie Xu, Qi-Qi Xu, Hanchen Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, D Xu, Ziqi Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Jianjuan Xu, Bin Xu, Zhanyu Xu, Lingjuan Xu, Wenjie Xu, Cian Xu, Shuwen Xu, Yu-Ming Xu, Qiulin Xu, Zeyu Xu, Jia Xu, Zengliang Xu, Yujie Xu, Yuting Xu, Jiajia Xu, Jing-Yi Xu, Xiqi Xu, Leiyu Xu, Shi-Na Xu, Ruonan Xu, Wenhuan Xu, Bai-Hui Xu, Jishu Xu, Xiangyu Xu, Lu-Lu Xu, Shiyun Xu, Huaxiang Xu, Lei Xu, Yuli Xu, Chan Xu, Tengfei Xu, Yong Xu, Xuejun Xu, Hang Xu, Junjie Xu, Jinjie Xu, Haoda Xu, Rui-Ming Xu, Yunxi Xu, Jinghua Xu, Ye Xu, Jiyi Xu, Mei-Jun Xu, Jianyong Xu, Yingzheng Xu, Kaiyue Xu, Yeqiu Xu, Songli Xu, Chenqi Xu, Cheng-Jian Xu, Qiaoshi Xu, YanFeng Xu, Rongrong Xu, Jin Xu, Huimian Xu, Zaikun Xu, Aixiao Xu, Yanfei Xu, Chunlin Xu, Huiqiong Xu, Dapeng Xu, Fengxia Xu, Yongmei Xu, Yubin Xu, Xiaojing Xu, Xiaoli Xu, Pu Xu, Wenming Xu, Wenjing Xu, Wenjuan Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Jiean Xu, Ming Xu, Keshu Xu, Weili Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Wen-Hao Xu, Hong-wei Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Yuzhi Xu, Fenghuang Xu, Zelin Xu, Tengxiao Xu, Xueni Xu, Jing-Ying Xu, Yichi Xu, Ruifeng Xu, Kewei Xu, Jiapeng Xu, Fang-Fang Xu, Sifan Xu, Pengli Xu, Jiaqin Xu, Xiaotao Xu, Chunming Xu, X Xu, Xinyin Xu, Gang Xu, Wei Xu, Yuzhen Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Xiaoming Xu, Yimeng Xu, Yuanyuan Xu, Shihao Xu, Zhipeng Xu, Minxuan Xu, Haowen Xu, Dilin Xu, Rui Xu, Jingzhou Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Junfei Xu, Mengjun Xu, Hui Ming Xu, Xiaolei Xu, Yanzhe Xu, Qin Xu, Zichuan Xu, Xinyun Xu, Xiaoge Xu, Tianyu Xu, Yigang Xu, Hongyan Xu, Lanjin Xu, Guowang Xu, Jingjie Xu, Yangyang Xu, Yi-Huan Xu, Guanhua Xu, Hongrong Xu, Fen Xu, Jian Xu, Pin-Xian Xu, Tiantian Xu, Zhonghui Xu, Changfu Xu, Dong-Hui Xu, Yi-Ni Xu, Jialu Xu, Yuzhong Xu, Hongli Xu, Mingyuan Xu, Minghao Xu, Qinghua Xu, C F Xu, Yiting Xu, Qian Xu, Jiahong Xu, Haixiang Xu, Xizheng Xu, Kun Xu, Xiaoyang Xu, Yunfei Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Jinguo Xu, Lingyi Xu, Guiyun Xu, Wenbin Xu, Chunjie Xu, Manman Xu, Cheng-Bin Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Yu-Xin Xu, Mengmeng Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Waner Xu, Shiliyang Xu, Zhiyao Xu, Gu-Feng Xu, J T Xu, Wenyuan Xu, Haifeng Xu, Ling Xu, Chaohua Xu, Lisha Xu, Huaisha Xu, Xiayun Xu, Qian-Fei Xu, Jinying Xu, Tengyun Xu, Chaoguang Xu, Fuyi Xu, Shihui Xu, Yingna Xu, Aishi Xu, Yanyan Xu, Bilian Xu, Qiuhui Xu, Jinsheng Xu, Qinwen Xu, Tianfeng Xu, Lihui Xu, Liyi Xu, Guanyi Xu, Wenyan Xu, Ru-xiang Xu, Zongzhen Xu, Nan Xu, Rui-Xia Xu, Jinxian Xu, Zhiting Xu, Jiaming Xu, Shan-Rong Xu, Yi-Tong Xu, Xiaojuan Xu, Guifa Xu, Xia-Jing Xu, Libin Xu, Dequan Xu, Guoxu Xu, Hong Xu, Lubin Xu, Cai Xu, Mengying Xu, Tian-Le Xu, J Xu, Weidong Xu, Chengbi Xu, Yibin Xu, Cong-jian Xu, Qianlan Xu, Tingting Xu, Caiqiu Xu, Hong-Yan Xu, Hanqian Xu, Xiao Le Xu, Bei Xu, Guanlan Xu, Jianxin Xu, Ming-Zhu Xu, Long Xu, Xiaopeng Xu, Yinjie Xu, Shufen Xu, Zhihua Xu, Ming-Jiang Xu, Di Xu, Qingwen Xu, Jiake Xu, Tingxuan Xu, Ping Xu, Peng-Ju Xu, Shang-Rong Xu, Li-Zhi Xu, Baoping Xu, Huan Xu, Wenwu Xu, Zhenyu Xu, Chong Xu, Sihua Xu, Anlong Xu, Lu Xu, Chen-Yang Xu, Xiaoyu Xu, Zhe Xu, Qiuyue Xu, Guangquan Xu, Peiyu Xu, Huihui Xu, Ding Xu, Yuchen Xu, Jianguo Xu, Xuegong Xu, Lingyang Xu, Jia-Yue Xu, Liping Xu, Yiyi Xu, Yuling Xu, Jianqiu Xu, Lichi Xu, Xiaojiang Xu, Xiao-Hui Xu, Mao Xu, Yuyang Xu, Zhaofa Xu, Qingchan Xu, Yanli Xu, Julie Xu, Minglan Xu, G Xu, Miaomiao Xu, Yali Xu, Yao Xu, Yanqi Xu, Tian Xu, Xiaojin Xu, Xiaowen Xu, Lingxiang Xu, Qing-Yang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Fangmin Xu, Xingshun Xu, Wenzhuo Xu, Fu Xu, Haimin Xu, Shengtao Xu, Jiahui Xu, Zhiwei Xu, Peiwei Xu, Daichao Xu, Wen-Hui Xu, Xingyan Xu, H Eric Xu, Zhi-Feng Xu, Mingming Xu, Hongtao Xu, Daiqi Xu, Keman Xu, Yinying Xu, Yuexin Xu, Yuanwei Xu, Jinfeng Xu, Xuanqi Xu, L Xu, Chunyan Xu, Hanting Xu, Chaoyu Xu, Shendong Xu, Tiancheng Xu, Guangsen Xu, Chentong Xu, Yaozeng Xu, Banglao Xu, Tao Xu, Danyan Xu, Ren-He Xu, Haiyan Xu, Jian-Guang Xu, Yu-Fen Xu, Youzhi Xu, Hui Xu, Enwei Xu, F F Xu, Ningda Xu, Zejun Xu, Li-Wei Xu, N Y Xu, Xiaoya Xu, Ren Xu, Ze-Jun Xu, Yanan Xu, Jiapei Xu, Peigang Xu, Tianxiang Xu, Haiqi Xu, Qing-Wen Xu, Junnv Xu, Tian-Rui Xu, Wanfu Xu, Wang-Hong Xu, Maotian Xu, Suoyu Xu, Mingli Xu, Qingqing Xu, Liwen Xu, Zhenming Xu, Jingyi Xu, Yihua Xu, Dong-Juan Xu, Mu Xu, Meifeng Xu, Li-Ling Xu, Dongmei Xu, Jianliang Xu, Pengfei Xu, Xinjie Xu, Changlin Xu, Shuai Xu, Fang-Yuan Xu, Yingli Xu, Ying Xu, Guo-Liang Xu, Zhiqiang Xu, Xirui Xu, Haiying Xu, Wen Xu, Xiaoyin Xu, Wenwen Xu, Mengping Xu, Jing-Yu Xu, Chunlan Xu, Danfeng Xu, Yuan Xu, Wenchun Xu, Zekuan Xu, Nuo Xu, Shuxiang Xu, Min Jie Xu, Penghui Xu, Zixuan Xu, Bingqi Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Zhaojun Xu, Qingyuan Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yingju Xu, Yayun Xu, Kaixiang Xu, Guang-Qing Xu, Lingling Xu, Jiyu Xu, Anton Xu, Jason Xu, Donghang Xu, Xiaowu Xu, Fengzhe Xu, Xia Xu, Xiangshan Xu, Wan-Ting Xu, Fengyan Xu, Qingheng Xu, Changlu Xu, Huaiyuan Xu, Jinsong Xu, Dongchen Xu, Rang Xu, Peng-Yuan Xu, Weihong Xu, Jinyuan Xu, Wanxue Xu, Xinyi Xu, Jie Xu, Junfeng Xu, Danning Xu, Haiming Xu, Sutong Xu, Shan Xu, Meng Xu, Yueyue Xu, Jixuan Xu, Hongjian Xu, Zhidong Xu, Jinjin Xu, Xiaobo Xu, Hongmei Xu, Shu-Xian Xu, Chuang Xu, Shuaili Xu, Yun Xu, Zhixian Xu, Yue Xu, George X Xu, Man Xu, Jiaai Xu, Zeqing Xu, Baijie Xu, Zheng-Fan Xu, Bojie Xu, Mengru Xu, H Y Xu, Yinhe Xu, Linna Xu, Liqun Xu, Zhi-Zhen Xu, Xiaohui Xu, Yinxia Xu, Xingmeng Xu, Pan Xu, Pengjie Xu, Kai Xu, Kexin Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Shuiyang Xu, Hongjiang Xu, Kaihao Xu, Suo-Wen Xu, Heng Xu, Zebang Xu, Hongbo Xu, Chenhao Xu, Fanghua Xu, Yaowen Xu, Jing Xu, Qianqian Xu, Andrew Z Xu, Flora Mengyang Xu, Yuanzhi Xu, Leilei Xu, Leyuan Xu, M-Y Xu, Hongzhi Xu, Zongren Xu, Xinyue Xu, Qingxia Xu, Xiao-Hua Xu, Cineng Xu, Nannan Xu, Guoshuai Xu, Mingzhu Xu, X S Xu, Guang Xu, Song-Hui Xu, Zhiyang Xu, Wang-Dong Xu, De-Xiang Xu, Yi Ran Xu, Shengen Xu, Jianzhong Xu, F Xu, Dexiang Xu, Rui-Hua Xu, Tongxin Xu, Wanting Xu, Bingqian Xu, Yang Xu, Jiaqian Xu, Yu-Ping Xu, Zhanqiong Xu, Haixia Xu, Hao Xu, HuiTing Xu, Hanfei Xu, Shu-Zhen Xu, Zhong Xu, Xun Xu, Xiaolu Xu, S Xu, Guangyan Xu, Ning Xu, Chengye Xu, Xizhan Xu, Jianming Xu, Ya-Peng Xu, Wenhao Xu, Minghong Xu, Mingqian Xu, Yaqin Xu, Chang-Qing Xu, Weiyong Xu, Huixuan Xu, Jialin Xu, Fei Xu, Z Xu, Pao Xu, Youping Xu, Keke Xu, Shunjiang Xu, Feilai Xu, Jia-Li Xu, Yucheng Xu, Qi Xu, Jinhua Xu, Chunli Xu, Zhiliang Xu, Jinxin Xu, Bingqing Xu, Lianjun Xu, Weihai Xu, Lifen Xu, Wenqi Xu, Zheng-Hong Xu, Lin Xu, Zuojun Xu, Yanquan Xu, Yanwu Xu, Mingjie Xu, Hui-Lian Xu, Maodou Xu, Cong Xu, Dongjun Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Yinglin Xu, Haoyu Xu, Wenqing Xu, Xiaoke Xu, Jiali Xu, Changliu Xu, Feng-Xia Xu, Carrie Xu, Yuheng Xu, Shimeng Xu, Wanwan Xu, Weiming Xu, Gui-Ping Xu, Zhenzhou Xu, Yangbin Xu, Aohong Xu, Wenlong Xu, Jia-Xin Xu, Luyi Xu, Manyi Xu, Changde Xu, De Xu, Xinxuan Xu, Gaosi Xu, Baofeng Xu, Chang Xu, Wanhai Xu, Qing Xu, Zuyuan Xu, Pingwen Xu, Feng-Yuan Xu, Aoling Xu, Erping Xu, Shaoqi Xu, Zhicheng Xu, Lun-Shan Xu, Jianing Xu, Shiyao Sherrie Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Zhi Xu, Iris M J Xu, Xiaomeng Xu, Mengyi Xu, Meifang Xu, Houxi Xu, Yuanfeng Xu, Shuqia Xu, Da-Peng Xu, Hong-tao Xu, Yaling Xu, Mei Xu, Xiaojiao Xu, Zhiru Xu, Dandan Xu, Weide Xu, W Xu, Shun Xu, Jianhua Xu, Tongda Xu, Lijun Xu, Cynthia M Xu, Yechun Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Ruohong Xu, Jiawei Xu, Yuhan Xu, Shanqi Xu, Shoujia Xu, T Xu, Weifeng Xu, Qiuyun Xu, Hu Xu, Yanming Xu, Hongwei Xu, Ziyu Xu, Kaishou Xu, Jian Hua Xu, Xin Xu, Liu Xu, Zetan Xu, Leiting Xu, Yong-Nan Xu, Zhizhen Xu, Houguo Xu, Ya-lin Xu, Xiang Xu, Suowen Xu, Xuejin Xu, Yiming Xu, Shude Xu, Genxing Xu, Yun-Teng Xu, Yanling Xu, Yuanhong Xu, Lijuan Xu, Xingzhi Xu, Guanghao Xu, Qiu-Han Xu, Siqun Xu, Wen-Xiong Xu, Qianghua Xu, Shuangbing Xu, Wenjun Xu, Jiangang Xu, Yangliu Xu, Jinjian Xu, W M Xu, Shanqiang Xu, Zefeng Xu
articles

MiR-7 reduces the BCSC subset by inhibiting XIST to modulate the miR-92b/Slug/ESA axis and inhibit tumor growth.

Miao Li, Meng Pan, Chengzhong You +7 more · 2020 · Breast cancer research : BCR · BioMed Central · added 2026-04-24
Breast cancer stem cells (BCSCs) are typically seed cells of breast tumor that initiate and maintain tumor growth. MiR-7, as a cancer inhibitor, decreases the BCSC subset and inhibits tumor progressio Show more
Breast cancer stem cells (BCSCs) are typically seed cells of breast tumor that initiate and maintain tumor growth. MiR-7, as a cancer inhibitor, decreases the BCSC subset and inhibits tumor progression through mechanisms that remain unknown. We examined miR-7 expression in breast cancer and developed a BCSC-driven xenograft mouse model, to evaluate the effects of miR-7 overexpression on the decrease of the BCSC subset in vitro and in vivo. In addition, we determined how miR-7 decreased the BCSC subset by using the ALDEFLUOR, lentivirus infection, dual-luciferase reporter, and chromatin immunoprecipitation-PCR assays. MiR-7 was expressed at low levels in breast cancer tissues compared with normal tissues, and overexpression of miR-7 directly inhibited lncRNA XIST, which mediates the transcriptional silencing of genes on the X chromosome, and reduced epithelium-specific antigen (ESA) expression by increasing miR-92b and inhibiting slug. Moreover, miR-7 suppressed CD44 and ESA by directly inhibiting the NF-κB subunit RELA and slug in breast cancer cell lines and in BCSC-driven xenografts, which confirmed the antitumor activity in mice injected with miR-7 agomir or stably infected with lenti-miR-7. The findings from this study uncover the molecular mechanisms by which miR-7 inhibits XIST, modulates the miR-92b/Slug/ESA axis, and decreases the RELA and CD44 expression, resulting in a reduced BCSC subset and breast cancer growth inhibition. These findings suggest a potentially targeted treatment approach to breast cancer. Show less
no PDF DOI: 10.1186/s13058-020-01264-z
SNAI1

WWOX regulates the Elf5/Snail1 pathway to affect epithelial-mesenchymal transition of ovarian carcinoma cells in vitro.

Y Xu, Y-C Yan, Y-K Hu +4 more · 2020 · European review for medical and pharmacological sciences · added 2026-04-24
Ovarian cancer is a highly invasive type of cancer. A previous study demonstrated that E-cadherin expression was upregulated in a human ovarian cancer cell line with a high expression of WW domain-con Show more
Ovarian cancer is a highly invasive type of cancer. A previous study demonstrated that E-cadherin expression was upregulated in a human ovarian cancer cell line with a high expression of WW domain-containing oxidoreductase (WWOX), which is a tumor suppressor. Also, the migration and invasion ability of these cells was reduced. Snail family members are involved in the epithelial-to-mesenchymal transition (EMT) of ovarian cancer cells, and the expression of Snail family members is regulated by the transcription factor Elf5. The aim of the present research was to elucidate the role of WWOX in EMT of ovarian carcinoma cells through the Elf5/Snail pathway by gain and loss of function approaches in in vitro experiments. First, a WWOX gene expressing plasmid was transfected into CD133+CD117+ HO8910 ovarian carcinoma cells, and an Elf5 shRNA plasmid was transfected into these cells to assess the changes in EMT-related factors, including Snail1, and the invasive ability of tumor cells ability. Second, the human ovarian carcinoma cell lines HO8910 and SKOV3 were divided into six groups to detect the same indicators. The results demonstrated that the high expression of WWOX resulted in an increased E-cadherin expression, decreased Snail1 activity, and decreased invasion ability in CD133+CD117+ HO8910 cells. Elf5 shRNA transfection did not affect the WWOX expression; however, it decreased the expression of E-cadherin and Elf5 activity, while increasing Snail1 activity and invasion ability in CD133+CD117+ HO8910 cells. It was also observed that WWOX overexpression in HO8910 and SKOV3 cells inhibited the expression of EMT-related proteins and inhibited cell migration and invasion. Taken together, the results of the present report suggest that WWOX can decrease Snail1 activity by enhancing the activity of Elf5, thus upregulating E-cadherin expression and eventually inhibiting EMT of ovarian carcinoma. Show less
no PDF DOI: 10.26355/eurrev_202002_20154
SNAI1

Novel ESCC-related gene ZNF750 as potential Prognostic biomarker and inhibits Epithelial-Mesenchymal Transition through directly depressing SNAI1 promoter in ESCC.

Pengzhou Kong, Enwei Xu, Yanghui Bi +17 more · 2020 · Theranostics · added 2026-04-24
no PDF DOI: 10.7150/thno.38210
SNAI1

Long non-coding RNA NNT-AS1 promotes cholangiocarcinoma cells proliferation and epithelial-to-mesenchymal transition through down-regulating miR-203.

Yulei Gu, Zhiqiang Zhu, Hui Pei +4 more · 2020 · Aging · Impact Journals · added 2026-04-24
Cholangiocarcinoma (CCA) is a serious malignant tumor. Long non-coding RNA NNT-AS1 (NNT-AS1) takes crucial roles in several tumors. So, we planned to research the roles and underlying mechanism of NNT Show more
Cholangiocarcinoma (CCA) is a serious malignant tumor. Long non-coding RNA NNT-AS1 (NNT-AS1) takes crucial roles in several tumors. So, we planned to research the roles and underlying mechanism of NNT-AS1 in CCA. NNT-AS1 overexpression was appeared in CCA tissues and cell lines. Proliferation was promoted by NNT-AS1 overexpression in CCLP1 and TFK1 cells. Besides, NNT-AS1 overexpression reduced E-cadherin level and raised levels of N-cadherin, vimentin, Snail and Slug. However, the opposite trend was occurred by NNT-AS1 knockdown. Further, NNT-AS1 overexpression promoted phosphatidylinositol 3 kinase (PI3K)/AKT and extracellular signal-regulated kinase (ERK)1/2 pathways. MiR-203 was sponged by NNT-AS1 and miR-203 mimic reversed the above promoting effects of NNT-AS1. Additionally, insulin-like growth factor type 1 receptor (IGF1R) and zinc finger E-box binding homeobox 1 (ZEB1) were two potential targets of miR-203. NNT-AS1 promoted proliferation, EMT and PI3K/AKT and ERK1/2 pathways in CCLP1 and TFK1 cells through down-regulating miR-203. CCLP1 and TFK1 cells were co-transfected with pcDNA-NNT-AS1 and miR-203 mimic. Bromodeoxyuridine (BrdU), flow cytometry, quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot were employed to detect roles and mechanism of NNT-AS1. Interaction between NNT-AS1 and miR-203 or miR-203 and target genes was examined through luciferase activity experiment. Show less
no PDF DOI: 10.18632/aging.102747
SNAI1

Histone Demethylase JMJD1A Promotes Tumor Progression via Activating Snail in Prostate Cancer.

Dong-E Tang, Yong Dai, Song-Hui Xu · 2020 · Molecular cancer research : MCR · added 2026-04-24
The histone demethylase JMJD1A plays a key functional role in spermatogenesis, sex determination, stem cell renewal, and cancer via removing mono- and di-methyl groups from H3K9 to epigenetically cont Show more
The histone demethylase JMJD1A plays a key functional role in spermatogenesis, sex determination, stem cell renewal, and cancer via removing mono- and di-methyl groups from H3K9 to epigenetically control gene expression. However, its role in prostate cancer progression remains unclear. Here, we found JMJD1A was significantly elevated in prostate cancer tissue compared with matched normal tissue. Ectopic JMJD1A expression in prostate cancer cells promoted proliferation, migration, and invasion Show less
no PDF DOI: 10.1158/1541-7786.MCR-19-0889
SNAI1

Relevance and prognostic ability of Twist, Slug and tumor spread through air spaces in lung adenocarcinoma.

Ao Liu, Xiao Sun, Jin Xu +11 more · 2020 · Cancer medicine · Wiley · added 2026-04-24
Tumor spread through air spaces (STAS) is a novel pathologic characteristic in lung adenocarcinomas that indicates invasive tumor behavior. We aimed to explore the relationship between Twist, Slug and Show more
Tumor spread through air spaces (STAS) is a novel pathologic characteristic in lung adenocarcinomas that indicates invasive tumor behavior. We aimed to explore the relationship between Twist, Slug and STAS in lung adenocarcinoma and to investigate the potential relationship between epithelial-mesenchymal transition (EMT) and STAS. Our study retrospectively analyzed 115 patients with resected lung adenocarcinomas to evaluate the relationship between Twist, Slug and STAS. STAS was diagnosed using hematoxylin-eosin (H&E) staining. Immunohistochemistry was used to evaluate the expression levels of Slug and Twist. In this study, 56 (48.7%) patients had STAS, 40 (34.8%) patients had Slug overexpression, and 28 (24.3%) patients had Twist overexpression. Patients with either STAS or Slug and Twist overexpression experienced poor recurrence-free survival (RFS) and overall survival (OS). There were significant associations between Twist overexpression, Slug overexpression and the presence of STAS. The logistic model further revealed that pathological stage, Twist overexpression and Slug overexpression were independent risk factors for STAS. A multivariate analysis that contained Twist, Slug, pathologic stage and STAS, showed that pathologic stage and STAS were independent prognostic factors for poor RFS and OS. Another multivariate model that contained Twist, Slug and pathologic stage, showed that pathologic stage, Twist overexpression and Slug overexpression were independent risk factors for poor RFS and OS. In the cohort with STAS, the multivariate analysis showed that pathologic stage and Twist overexpression were independent risk factors for poor survival. The subgroup analysis showed that patients with both Slug overexpression and Twist overexpression with STAS received a poor prognosis. STAS, Slug and Twist were correlated with poor RFS and OS in resected lung adenocarcinomas. Additionally, STAS was correlated with the overexpression of Twist and Slug, which could potentially provide information on the mechanism of STAS. Show less
no PDF DOI: 10.1002/cam4.2858
SNAI1

Hyperactivation of IL-6/STAT3 pathway leaded to the poor prognosis of post-TACE HCCs by HIF-1α/SNAI1 axis-induced epithelial to mesenchymal transition.

Xiaohong Gai, Peng Zhou, Meng Xu +3 more · 2020 · Journal of Cancer · added 2026-04-24
Transarterial chemoembolization (TACE) has been considered the standard treatment for intermediate-stage hepatocellular carcinoma according to BCLC algorithm. However, it has been unclear about the TA Show more
Transarterial chemoembolization (TACE) has been considered the standard treatment for intermediate-stage hepatocellular carcinoma according to BCLC algorithm. However, it has been unclear about the TACE-related predictive bio-markers and underlying molecular mechanisms. This investigation revealed that HCCs with higher HIF-1α suffered from unfavorable OS after TACE. mRNA expression microarray revealed that HIF-1α was potential target of p-STAT3 which was verified by ChIP and immunoblotting assay. Activation of IL-6/STAT3/HIF-1α signaling was found to promote EMT and chemoresistance to Doxorubicin Show less
no PDF DOI: 10.7150/jca.35631
SNAI1

Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma.

Hua Xu, Wen-Hao Xu, Fei Ren +7 more · 2020 · Aging · Impact Journals · added 2026-04-24
Epithelial-to-mesenchymal transition (EMT) is important in tumor invasiveness and metastasis. We aimed to determine prognostic value of six key EMT markers (
no PDF DOI: 10.18632/aging.102660
SNAI1

Downregulation of ABI2 expression by EBV-miR-BART13-3p induces epithelial-mesenchymal transition of nasopharyngeal carcinoma cells through upregulation of c-JUN/SLUG signaling.

Jing Huang, You Qin, Chensu Yang +11 more · 2020 · Aging · Impact Journals · added 2026-04-24
Existing evidence has shown that circulating Epstein-Barr virus (EBV)-miR-BART13-3p is highly expressed in plasma of nasopharyngeal carcinoma (NPC) patients, especially among patients with advanced di Show more
Existing evidence has shown that circulating Epstein-Barr virus (EBV)-miR-BART13-3p is highly expressed in plasma of nasopharyngeal carcinoma (NPC) patients, especially among patients with advanced diseases. However, the exact role that EBV-miR-BART13-3p plays in the development of NPC remains poorly understood. Here we show that up-regulated expression of EBV-miR-BART13-3p leads to increased capacity in migration and invasion of NPC cells Show less
no PDF DOI: 10.18632/aging.102618
SNAI1

C/EBPδ-Slug-Lox1 axis promotes metastasis of lung adenocarcinoma via oxLDL uptake.

Dongmei Wang, Xinghua Cheng, Yu Li +12 more · 2020 · Oncogene · Nature · added 2026-04-24
Cancer cells undergo significant lipid metabolic reprogramming to ensure sufficient energy supply for survival and progression. However, how cancer cells integrate lipid metabolic signaling with cance Show more
Cancer cells undergo significant lipid metabolic reprogramming to ensure sufficient energy supply for survival and progression. However, how cancer cells integrate lipid metabolic signaling with cancer progression is not well understood. In the present study, we demonstrated that C/EBPδ, a critical lipid metabolic regulator, is a TGF-β1 downstream gene and promotes lung adenocarcinoma metastasis. Importantly, C/EBPδ caused significant oscillations in both lipid metabolic and epithelial to mesenchymal transition (EMT) gene networks. Mechanistically, we demonstrated that C/EBPδ recruited oncogene NCOA3 to transcriptionally activate Slug, a canonical EMT transcription factor, which in turn induced oxLDL receptor-1 (Lox1) expression and enhanced oxLDL uptake to promote cancer metastasis, which could be blocked with LOX1 neutralizing antibody. In summary, our results unveiled a previously unappreciated interplay between lipid metabolic and metastatic program, as well as the existence of a pivotal C/EBPδ-Slug-Lox1 transcription axis to promote oxLDL levels and cancer metastasis. Show less
no PDF DOI: 10.1038/s41388-019-1015-z
SNAI1

Discovery of new serum biomarker panels for systemic lupus erythematosus diagnosis.

Hua-Zhi Ling, Shu-Zhen Xu, Rui-Xue Leng +8 more · 2020 · Rheumatology (Oxford, England) · Oxford University Press · added 2026-04-24
Clinical diagnosis of SLE is currently challenging due to its heterogeneity. Many autoantibodies are associated with SLE and are considered potential diagnostic markers, but systematic screening and v Show more
Clinical diagnosis of SLE is currently challenging due to its heterogeneity. Many autoantibodies are associated with SLE and are considered potential diagnostic markers, but systematic screening and validation of such autoantibodies is lacking. This study aimed to systematically discover new autoantibodies that may be good biomarkers for use in SLE diagnosis. Sera from 15 SLE patients and 5 healthy volunteers were analysed using human proteome microarrays to identify candidate SLE-related autoantibodies. The results were validated by screening of sera from 107 SLE patients, 94 healthy volunteers and 60 disease controls using focussed arrays comprised of autoantigens corresponding to the identified candidate antibodies. Logistic regression was used to derive and validate autoantibody panels that can discriminate SLE disease. Extensive ELISA screening of sera from 294 SLE patients and 461 controls was performed to validate one of the newly discovered autoantibodies. A total of 31, 11 and 18 autoantibodies were identified to be expressed at significantly higher levels in the SLE group than in the healthy volunteers, disease controls and healthy volunteers plus disease control groups, respectively, with 25, 7 and 13 of these differentially expressed autoantibodies being previously unreported. Diagnostic panels comprising anti-RPLP2, anti-SNRPC and anti-PARP1, and anti-RPLP2, anti-PARP1, anti-MAK16 and anti- RPL7A were selected. Performance of the newly discovered anti-MAK16 autoantibody was confirmed by ELISA. Some associations were seen with clinical characteristics of SLE patients, such as disease activity with the level of anti-PARP1 and rash with the level of anti-RPLP2, anti-MAK16 and anti- RPL7A. The combined autoantibody panels identified here show promise for the diagnosis of SLE and for differential diagnosis of other major rheumatic immune diseases. Show less
no PDF DOI: 10.1093/rheumatology/kez634
SNRPC

CPSF7 regulates liver cancer growth and metastasis by facilitating WWP2-FL and targeting the WWP2/PTEN/AKT signaling pathway.

Shiji Fang, Dengke Zhang, Wei Weng +9 more · 2020 · Biochimica et biophysica acta. Molecular cell research · Elsevier · added 2026-04-24
Alternative splicing within a gene can create different versions of an mRNA, called isoforms. CFIm, composed of a small subunit CFIm25 and two large subunits CFIm68 and CFIm59 (also known as CPSF7), h Show more
Alternative splicing within a gene can create different versions of an mRNA, called isoforms. CFIm, composed of a small subunit CFIm25 and two large subunits CFIm68 and CFIm59 (also known as CPSF7), has been proposed as an enhancer-dependent activator of mRNA 3' processing. In this study, we investigated the role of CPSF7 in hepatocellular carcinoma. Experimental evidence suggests that the expression level of CPSF7 is higher in liver cancer cells and tissues than in non-tumor hepatic cells and tissues. Furthermore, knockdown of CPSF7 effectively suppressed cell proliferation, migration and colony formation in liver cancer cells by inhibiting PTEN/AKT signaling. CPSF7 promoted WWP2-FL due to the presence of PTEN ubiquitination sites in this longer transcript. Taken together, we identified that CPSF7 regulates liver cancer growth by targeting WWP2-FL that in turn regulates AKT activation in a PTEN-dependent manner. Show less
no PDF DOI: 10.1016/j.bbamcr.2019.118624
WWP2

Environmental temperature and human epigenetic modifications: A systematic review.

Rongbin Xu, Shuai Li, Shuaijun Guo +4 more · 2020 · Environmental pollution (Barking, Essex : 1987) · Elsevier · added 2026-04-24
The knowledge about the effects of environmental temperature on human epigenome is a potential key to understand the health impacts of temperature and to guide acclimation under climate change. We per Show more
The knowledge about the effects of environmental temperature on human epigenome is a potential key to understand the health impacts of temperature and to guide acclimation under climate change. We performed a systematic review on the epidemiological studies that have evaluated the association between environmental temperature and human epigenetic modifications. We identified seven original articles on this topic published between 2009 and 2019, including six cohort studies and one cross-sectional study. They focused on DNA methylation in elderly people (blood sample) or infants (placenta sample), with sample size ranging from 306 to 1798. These studies were conducted in relatively low temperature setting (median/mean temperature: 0.8-13 °C), and linear models were used to evaluate temperature-DNA methylation association over short period (≤28 days). It has been reported that short-term ambient temperature could affect global human DNA methylation. A total of 15 candidate genes (ICAM-1, CRAT, F3, TLR-2, iNOS, ZKSCAN4, ZNF227, ZNF595, ZNF597, ZNF668, CACNA1H, AIRE, MYEOV2, NKX1-2 and CCDC15) with methylation status associated with ambient temperature have been identified. DNA methylation on ZKSCAN4, ICAM-1 partly mediated the effect of short-term cold temperature on high blood pressure and ICAM-1 protein (related to cardiovascular events), respectively. In summary, epidemiological evidence about the impacts of environment temperature on human epigenetics remains scarce and limited to short-term linear effect of cold temperature on DNA methylation in elderly people and infants. More studies are needed to broaden our understanding of temperature related epigenetic changes, especially under a changing climate. Show less
no PDF DOI: 10.1016/j.envpol.2019.113840
ZNF668

Ubiquitin Linkage Specificity of Deubiquitinases Determines Cyclophilin Nuclear Localization and Degradation.

Yanchang Li, Qiuyan Lan, Yuan Gao +9 more · 2020 · iScience · Elsevier · added 2026-04-24
Ubiquitin chain specificity has been described for some deubiquitinases (DUBs) but lacks a comprehensive profiling in vivo. We used quantitative proteomics to compare the seven lysine-linked ubiquitin Show more
Ubiquitin chain specificity has been described for some deubiquitinases (DUBs) but lacks a comprehensive profiling in vivo. We used quantitative proteomics to compare the seven lysine-linked ubiquitin chains between wild-type yeast and its 20 DUB-deletion strains, which may reflect the linkage specificity of DUBs in vivo. Utilizing the specificity and ubiquitination heterogeneity, we developed a method termed DUB-mediated identification of linkage-specific ubiquitinated substrates (DILUS) to screen the ubiquitinated lysine residues on substrates modified with certain chains and regulated by specific DUB. Then we were able to identify 166 Ubp2-regulating substrates with 244 sites potentially modified with K63-linked chains. Among these substrates, we further demonstrated that cyclophilin A (Cpr1) modified with K63-linked chain on K151 site was regulated by Ubp2 and mediated the nuclear translocation of zinc finger protein Zpr1. The K48-linked chains at non-K151 sites of Cpr1 were mainly regulated by Ubp3 and served as canonical signals for proteasome-mediated degradation. Show less
no PDF DOI: 10.1016/j.isci.2020.100984
ZPR1

Gut-derived GIP activates central Rap1 to impair neural leptin sensitivity during overnutrition.

Kentaro Kaneko, Yukiko Fu, Hsiao-Yun Lin +14 more · 2019 · The Journal of clinical investigation · added 2026-04-24
Nutrient excess, a major driver of obesity, diminishes hypothalamic responses to exogenously administered leptin, a critical hormone of energy balance. Here, we aimed to identify a physiological signa Show more
Nutrient excess, a major driver of obesity, diminishes hypothalamic responses to exogenously administered leptin, a critical hormone of energy balance. Here, we aimed to identify a physiological signal that arises from excess caloric intake and negatively controls hypothalamic leptin action. We found that deficiency of the gastric inhibitory polypeptide receptor (Gipr) for the gut-derived incretin hormone GIP protected against diet-induced neural leptin resistance. Furthermore, a centrally administered antibody that neutralizes GIPR had remarkable antiobesity effects in diet-induced obese mice, including reduced body weight and adiposity, and a decreased hypothalamic level of SOCS3, an inhibitor of leptin actions. In contrast, centrally administered GIP diminished hypothalamic sensitivity to leptin and increased hypothalamic levels of Socs3. Finally, we show that GIP increased the active form of the small GTPase Rap1 in the brain and that its activation was required for the central actions of GIP. Altogether, our results identify GIPR/Rap1 signaling in the brain as a molecular pathway linking overnutrition to the control of neural leptin actions. Show less
📄 PDF DOI: 10.1172/JCI126107
GIPR

Genetic Study on Small Insertions and Deletions in Psoriasis Reveals a Role in Complex Human Diseases.

Qi Zhen, Zhenjun Yang, Wenjun Wang +22 more · 2019 · The Journal of investigative dermatology · Elsevier · added 2026-04-24
Genetic studies based on single-nucleotide polymorphisms have provided valuable insights into the genetic architecture of complex diseases. However, a large fraction of heritability for most of these Show more
Genetic studies based on single-nucleotide polymorphisms have provided valuable insights into the genetic architecture of complex diseases. However, a large fraction of heritability for most of these diseases remains unexplained, and the impact of small insertions and deletions (InDels) has been neglected. We performed a comprehensive screen on the exome sequence data of 1,326 genes using the SOAP-PopIndel method for InDels in 32,043 Chinese Han individuals and identified 29 unreported InDels within 25 susceptibility genes associated with psoriasis. Specifically, we identified 12 common, 9 low-frequency, and 8 rare InDels that explained approximately 1.29% of the heritability of psoriasis. Further analyses identified KIAA0319, RELN, NCAPG, ABO, AADACL2, LMAN1, FLG, HERC5, CCDC66, LEKR1, AFF3, ABCG2, ANXA7, SYTL2,GIPR, METTL1, and FYCO1 as unreported genes for psoriasis. In addition, identified InDels were associated with the following reported genes: IFIH1, ERAP1, ERAP2, LNPEP, UBLCP1, and STAT3; unreported independent associations for exonic InDels were found within GJB2 and ZNF816A. Our study enriched the genetic basis and pathogenesis of psoriasis and highlighted the non-negligible impact of InDels on complex human diseases. Show less
no PDF DOI: 10.1016/j.jid.2019.03.1157
GIPR

An effect of dietary phloretin supplementation on feed intake in mice.

Xiaojiao Xu, Xiaoling Chen, Zhiqing Huang +6 more · 2019 · Food & function · Royal Society of Chemistry · added 2026-04-24
Phloretin, abundantly present in apples, pears and other fruits, has been found to have antioxidant, immunosuppressive and anti-inflammatory activities. It has been reported that oral administration o Show more
Phloretin, abundantly present in apples, pears and other fruits, has been found to have antioxidant, immunosuppressive and anti-inflammatory activities. It has been reported that oral administration of phloretin dose-dependently increased feed intake in mice, but the mechanism is unclear yet. The aim of this study was to investigate the effect of dietary phloretin supplementation on the feed intake in C57BL/6J mice and to identify its mechanism. Here, sixty C57BL/6J mice (28-day age) were randomly chosen for four dietary treatments and fed a basal diet or a basal diet supplemented with 0.1%, 0.2%, and 0.3% phloretin, respectively, in a 6-week trial. We showed that mice in the 0.1%, 0.2%, and 0.3% phloretin-supplemented groups had increased accumulative feed intake compared with the control group. Furthermore, dietary phloretin supplementation significantly increased the ghrelin mRNA level in the stomach and hypothalamus, and decreased the cholecystokinin (CCK) mRNA level in the duodenum in a dose-dependent manner. The mRNA levels of neuropeptide Y (NPY), agouti-related protein (AgRP), pro-opiomelanocortin and melanocortin receptors 4 (MC4R), and pro-opiomelanocortin (POMC) in the hypothalamus were altered in response to dietary phloretin supplementation. Moreover, we confirmed that dietary phloretin supplementation reduced the expressions of miR-488 and miR-103, two feed intake-related miRNAs. Our present study provides evidence that dietary phloretin supplementation could increase feed intake in mice, which might be attributed to the stimulation of the hypothalamic feeding center via ghrelin, miRNAs (miR-103 and miR-488) and feeding signal factor-related genes (NPY, AgRP, MC4R and POMC), and to the inhibition of CCK to increase gastric emptying. Show less
no PDF DOI: 10.1039/c9fo00815b
MC4R

Pharmacological modulation of melanocortin-4 receptor by melanocortin receptor accessory protein 2 in Nile tilapia.

Meng Wang, Yijun Chen, Ming Zhu +4 more · 2019 · General and comparative endocrinology · Elsevier · added 2026-04-24
The melanocortin-4 receptor (MC4R) acts as a member of G-protein coupled receptors and participate in food intake and energy expenditure. Melanocortin 2 receptor accessory protein 2 (MRAP2) plays a cr Show more
The melanocortin-4 receptor (MC4R) acts as a member of G-protein coupled receptors and participate in food intake and energy expenditure. Melanocortin 2 receptor accessory protein 2 (MRAP2) plays a critical role in regulating MC4R signaling in mammals and zebrafish. However, evidence on their interaction in other teleost species remains elusive. Here, we cloned and assessed the evolutionary aspect and pharmacological modulation of MRAP2 on MC4R signaling in Nile tilapia (Oreochromis niloticus). Tissue distribution analysis of tmc4r and tmrap2 confirmed their co-expression in the brain region. tMRAP2 protein could form antiparallel homo-dimer and directly interacted with tMC4R in vitro and presence of tMRAP2 led to the reduction of agonist response and surface expression of tMC4R. Overall, our findings provide a comparative overview on the evolutionary conservation, genomic distribution, tissue-specific expression and pharmacological profile of the MC4R and MRAP2 in another non-mammalian teleost. Show less
no PDF DOI: 10.1016/j.ygcen.2019.113219
MC4R

Tracing the effect of the melanocortin-4 receptor pathway in obesity: study design and methodology of the TEMPO registry.

Ihuoma Eneli, Jinyu Xu, Matthew Webster +4 more · 2019 · The application of clinical genetics · added 2026-04-24
📄 PDF DOI: 10.2147/TACG.S199092
MC4R

Association study between LEPR, MC4R polymorphisms and overweight/obesity in Chinese Han adolescents.

Decheng Ren, Jian Hua Xu, Yan Bi +15 more · 2019 · Gene · Elsevier · added 2026-04-24
Obesity is one of the major health problems strongly influenced by lifestyle, genetic and environmental factors. Previous studies have reported many single-nucleotide polymorphisms (SNPs) are associat Show more
Obesity is one of the major health problems strongly influenced by lifestyle, genetic and environmental factors. Previous studies have reported many single-nucleotide polymorphisms (SNPs) are associated with obesity in different races. This study aimed to explore the genetic associations between LEPR, MC4R polymorphisms and overweight/obesity in Chinese Han adolescents. 400 adolescents including 222 health controls and 178 overweight/obese adolescents were genotyped and their body compositions were also analyzed in this study. We found that allelic and genotypic frequencies of LEPR SNP rs8179183 were significantly different between controls and cases (allelic frequency p < 0.001; genotypic frequency p = 0.004). These difference was still significant (allelic frequency p < 0.011; genotypic frequency p = 0.024) after Bonferroni correction. Moreover, we found that rs8179183 was associated with serum triglyceride level after adjusting for age and body mass index (BMI) (p = 0.037). In summary, our results found a significant association between LEPR SNP rs8179183 and overweight/obesity in Chinese Han adolescent. This study may provide a reference for future studies of obesity. Show less
no PDF DOI: 10.1016/j.gene.2018.12.073
MC4R

α-melanocyte stimulating hormone (α-MSH) promotes osteoblast differentiation of MC3T3-E1 cells.

Lei Wang, Jian Cheng, Zhen Hua +5 more · 2019 · European journal of pharmacology · Elsevier · added 2026-04-24
α-melanocyte stimulating hormone (α-MSH) is a member of the melanocortin family, that has displayed important biological functions in diverse cells and tissues. The purpose of this study is to test th Show more
α-melanocyte stimulating hormone (α-MSH) is a member of the melanocortin family, that has displayed important biological functions in diverse cells and tissues. The purpose of this study is to test the effect of α-MSH on the differentiation and mineralization of osteoblast cells. The expression of the α-MSH membrane receptor MC1R but not MC2R, MC3R, or MC4R increased distinctively during the osteogenic differentiation from 3, 7 to 14 d. Treatment with α-MSH promoted the differentiation and mineralization of MC3T3-E1 cells by increasing the activity of ALP, enhancing Alizarin Red S staining, and stimulating the expression of osteogenic genes, including ALP1, osteocalcin (Bglap2), and osterix (Sp7). Importantly, we found that α-MSH increased the expression of Runx-2, a master transcriptional factor of osteogenic differentiation. Mechanically, we found that the activation of ERK1/2 was involved in this process. Using the small interfering (si) RNA knockdown experiment, we proved that the effects of α-MSH on differentiation and mineralization of osteoblast cells are mediated by MC1R. The present study proposes α-MSH as a potential therapeutic agent to stimulate bone formation for osteoporosis and bone defect. Meanwhile, MC1R could also be a target candidate for the treatment of bone metabolism diseases. Show less
no PDF DOI: 10.1016/j.ejphar.2018.11.033
MC4R

Meningitic

Lu Liu, Jixuan Li, Dong Huo +7 more · 2019 · Pathogens (Basel, Switzerland) · MDPI · added 2026-04-24
Bacterial meningitis is currently recognized as one of the most important life-threatening infections of the central nervous system (CNS) with high morbidity and mortality, despite the advancements in Show more
Bacterial meningitis is currently recognized as one of the most important life-threatening infections of the central nervous system (CNS) with high morbidity and mortality, despite the advancements in antimicrobial treatment. The disruption of blood-brain barrier (BBB) induced by meningitis bacteria is crucial for the development of bacterial meningitis. However, the complete mechanisms involving in the BBB disruption remain to be elucidated. Here, we found meningitic Show less
📄 PDF DOI: 10.3390/pathogens8040254
ANGPTL4

Assessing inflammation in Chinese subjects with subtypes of heart failure: an observational study of the Chinese PLA Hospital Heart Failure Registry.

Bo-Han Liu, Yan-Guang Li, Ji-Xuan Liu +5 more · 2019 · Journal of geriatric cardiology : JGC · added 2026-04-24
Inflammation is an important element of the pathophysiological process of heart failure (HF) and is correlated with subtypes of HF. The association between multiple biomarkers of inflammation and HF s Show more
Inflammation is an important element of the pathophysiological process of heart failure (HF) and is correlated with subtypes of HF. The association between multiple biomarkers of inflammation and HF subtypes in Chinese subjects remains unclear. This study aimed to compare the differences in inflammation biomarkers among Chinese patients with different subtypes of HF who have been identified to date. We included 413 consecutive patients with HF, including 262 with preserved ejection fraction (HFpEF), 55 with middle-ranged ejection fraction (HFmrEF) and 96 with reduced ejection fraction (HFrEF). Ten inflammation biomarkers were analyzed and compared according to the HF subtypes. One hundred contemporary non-HF subjects were also recruited as the control group. Moreover, the correlations between the inflammatory biomarkers and left ventricular ejection fraction of the HF subtypes were assessed. The mean age of the HF patients was 65.0 ± 12.0 years, 65.8% were male. Distinct subtypes of HF demonstrated different inflammation biomarker panels. IL-6, PTX-3, ANGPTL-4 and TNF-α were correlated with HFrEF; IL-1β and PTX-3 were correlated with HFmrEF; and IL-1β and IL-6 were correlated with HFpEF. The multivariable logistic regression showed that IL-1β [relative ratio (RR) = 1.08, 95% CI: 1.02-1.15, Diverse inflammation biomarkers have multifaceted presentations according to the subtype of HF, which may illustrate the diverse mechanisms of inflammation in Chinese HF patients. IL-6, PTX-3, and ANGPTL-4 were independent inflammation factors associated with HFrEF and HF. Show less
📄 PDF DOI: 10.11909/j.issn.1671-5411.2019.04.002
ANGPTL4

Sema4D/PlexinB1 promotes endothelial differentiation of dental pulp stem cells via activation of AKT and ERK1/2 signaling.

Ting Zou, Shan Jiang, Waruna Lakmal Dissanayaka +5 more · 2019 · Journal of cellular biochemistry · Wiley · added 2026-04-24
Inducing of dental pulp stem cells (DPSCs) into endothelial cells (ECs) to prevascularize pulp tissue constructs may offer a novel and viable approach for enhancing pulp regeneration. However, there a Show more
Inducing of dental pulp stem cells (DPSCs) into endothelial cells (ECs) to prevascularize pulp tissue constructs may offer a novel and viable approach for enhancing pulp regeneration. However, there are numerous challenges in current methods for the acquisition of sufficient translational ECs. It was known that Sema4D/PlexinB1 signaling exerts profound effects on enhancing vascular endothelial growth factor (VEGF) secretion and angiogenesis. Whether Sema4D/PlexinB1 could regulate endothelial differentiation of DPSCs is not yet investigated. In this study, when DPSCs were treated with Sema4D (2 μg/mL), ECs-specific (VEGFR1, VEGFR2, CD31, and vWF), and angiogenic genes and proteins were significantly upregulated. The induced ECs exhibited similar endothelial vessel formation ability to that of human umbilical vein endothelial cells (HUVECs). Furthermore, phosphorylation of AKT increased dramatically within 5 minutes (from 0.93 to 21.8), while p-ERK1/2 was moderately elevated (from 0.94 to 2.65). In summary, our results demonstrated that Sema4D/PlexinB1 signaling induces endothelial differentiation of DPSCs. The interactions of Sema4D, VEGF, ANGPTL4, ANG1, and HIF-1α may play a crucial role in mediating the differentiation process. Show less
no PDF DOI: 10.1002/jcb.28635
ANGPTL4

RREB1-induced upregulation of the lncRNA AGAP2-AS1 regulates the proliferation and migration of pancreatic cancer partly through suppressing ANKRD1 and ANGPTL4.

Bingqing Hui, Hao Ji, Yetao Xu +5 more · 2019 · Cell death & disease · Nature · added 2026-04-24
Long noncoding RNAs (lncRNAs) have been reported to be involved in a variety of human diseases, including cancers. However, their mechanisms have not yet been fully elucidated. We investigated lncRNA Show more
Long noncoding RNAs (lncRNAs) have been reported to be involved in a variety of human diseases, including cancers. However, their mechanisms have not yet been fully elucidated. We investigated lncRNA changes that may be associated with pancreatic cancer (PC) by analyzing published microarray data, and identified AGAP2-AS1 as a relatively overexpressed lncRNA in PC tissues. qRT-PCR assays were performed to examine expression levels of AGAP2-AS1. MTT assays, colony formation assays, and EdU assays were used to determine the proliferative capacity of cells. Flow cytometry and TUNEL assays were used to study the regulation of AGAP2-AS1 in the cell cycle and apoptosis. Transwell experiments were used to study changes in cell invasion and metastasis, and a nude mouse model was established to assess the effects of AGAP2-AS1 on tumorigenesis in vivo. RNA sequencing was performed to probe AGAP2-AS1-related pathways. Subcellular fractionation and FISH assays were used to determine the distribution of AGAP2-AS1 in PC cells, and RIP and ChIP were used to determine the molecular mechanism of AGAP2-AS1-mediated regulation of potential target genes. Increased expression of AGAP2-AS1 was associated with tumor size and pathological stage progression in patients with PC. RREB1 was found to activate transcription of AGAP2-AS1 in PC cells. AGAP2-AS1 affected proliferation, apoptosis, cycle arrest, invasion, and metastasis of PC cells in vitro, and AGAP2-AS1 regulated PC proliferation in vivo. Furthermore, AGAP2-AS1 epigenetically inhibited the expression of ANKRD1 and ANGPTL4 by recruiting zeste homolog 2 (EZH2), thereby promoting PC proliferation and metastasis. In summary, our data show that RREB1-induced upregulation of AGAP2-AS1 regulates cell proliferation and migration in PC partly through suppressing ANKRD1 and ANGPTL4 by recruiting EZH2. AGAP2-AS1 represents a potential target for the diagnosis and treatment of PC in the future. Show less
📄 PDF DOI: 10.1038/s41419-019-1384-9
ANGPTL4

Plasma Protein Comparison between Dairy Cows with Inactive Ovaries and Estrus.

Chang Zhao, Shi Shu, Yunlong Bai +3 more · 2019 · Scientific reports · Nature · added 2026-04-24
To screen differentially expressed proteins in the blood dairy cows with inactive ovaries caused by a negative energy balance and to determine the roles of the identified proteins in the development o Show more
To screen differentially expressed proteins in the blood dairy cows with inactive ovaries caused by a negative energy balance and to determine the roles of the identified proteins in the development of inactive ovaries.Holstein cows at 14 to 21 days postpartum in an intensive dairy farm were examined for their energy balance (EB) status by blood β-hydroxybutyrate (BHBA) and assigned to the inactive ovary (IO) group (n = 50) and the normal oestrus control (CON) group (n = 50) at 60 to 90 days postpartum by means of the oestrus manifestation, rectal examination and B-ultrasound examination. Fourteen differentially expressed proteins from 61 proteins in the plasma of dairy cows with IOs were identified by iTRAQ/LC-MS/MS and GO, KEGG, and PATHWAY analysis. Eleven expressed proteins were upregulated, and 3 expressed proteins were downregulated. Among the 10 differentially expressed proteins verified by Western blot or ELISA, the relative expression levels of ALDOB, IGFBP2, ITIH3 and LDHB in mixed samples and single samples were consistent with the proteomic protein results. PKM2, GPX3, ALDOB, RBP4 and AHSG were significantly different between the two groups (P < 0.05); APOA4 and SPAM1 were not significantly different (P > 0.05) but were still downregulated in the ovarian resting group. This study confirmed that 14 plasma differential proteins in the inactive ovaries of postpartum dairy cows were associated with follicular development, and these findings provide a foundation for further research on the mechanism and prevention of inactive ovaries in dairy cows. Show less
📄 PDF DOI: 10.1038/s41598-019-49785-8
APOA4

Analysis of Liver Proteome and Identification of Critical Proteins Affecting Milk Fat, Protein, and Lactose Metabolism in Dariy Cattle with iTRAQ.

Lingna Xu, Lijun Shi, Lin Liu +5 more · 2019 · Proteomics · Wiley · added 2026-04-24
In this study, the proteomes of liver tissues are investigated in three periods of the lactation cycle of Holstein cows by using isobaric tag for relative and absolute quantification (iTRAQ) technique Show more
In this study, the proteomes of liver tissues are investigated in three periods of the lactation cycle of Holstein cows by using isobaric tag for relative and absolute quantification (iTRAQ) technique to obtain liver proteome and identify functional proteins/genes involved in milk synthesis in dairy cattle. Based on iTRAQ analysis, 3252 proteins are detected in the liver tissues (false discovery rate ≤0.01). Thirty-two differently expressed proteins (DEPs) are identified during the three periods by p-value <0.05 and fold change (FC) ≥2 or ≤0.5, and 183 DEPs based on p-value <0.05 and FC ≥1.5 or ≤0.67. In addition, 905 DEPs are obtained across the three periods by p-value <0.05 and FC ≥1.2, or ≤0.83, and the subsequent GO and KEGG pathway functional analysis indicate that 73 DEPs are significantly enriched into the metabolic terms and pathways involved in milk synthesis such as citrate cycle, fatty acid, starch and sucrose metabolism, and mTOR and PPAR signaling pathways. Further, 41 out of 73 DEPs are identified near to both the peak locations of the reported quantitative trait locus and significant single nucleotide polymorphisms that associate with milk yield and composition traits. In addition, the 41 DEPs are analyzed with the previous liver transcriptome data that used the same samples as this study, and considered nine proteins/genes-ALDH18A1, APOA4, CYP7A1, HADHB, PRKACA, IDH2, LDHA, LDHB, and MAT2A-to be the promising candidates for milk fat, protein, and lactose synthesis in dairy cattle. This study provides a new vision for identifying the potential critical genes associated with milk synthesis of dairy cattle. Show less
no PDF DOI: 10.1002/pmic.201800387
APOA4

Hepatic transcriptome of the euryhaline teleost Japanese seabass (Lateolabrax japonicus) fed diets characterized by α-linolenic acid or linoleic acid.

Houguo Xu, Zhangbin Liao, Chengqiang Wang +2 more · 2019 · Comparative biochemistry and physiology. Part D, Genomics & proteomics · Elsevier · added 2026-04-24
To investigate the different effects of dietary α-linolenic acid (ALA) and linoleic acid (LA) on the euryhaline fish Japanese seabass, a feeding trial followed by hepatic transcriptome assay was condu Show more
To investigate the different effects of dietary α-linolenic acid (ALA) and linoleic acid (LA) on the euryhaline fish Japanese seabass, a feeding trial followed by hepatic transcriptome assay was conducted. Two experimental diets containing 10% LA-rich sunflower seed oil (diet LA) or 10% ALA-rich perilla oil (diet ALA) were used in the feeding trial. LA and ALA in diets were characteristically incorporated into fish tissues while no significant difference was observed in growth performance and body proximate composition between groups LA and ALA. Compared to LA, ALA up-regulated transcription of 49 unigenes and down-regulated those of 311 unigenes. Quantitative RT-PCR studies on eight lipid metabolism-related genes and seven randomly selected genes were conducted to validate the transcriptomic results. Lipid metabolism-related genes ApoA1, ApoA4, ApoE, FABP1, FABP3, FABP4, FATP6, and DGAT1, as well as ribosomal proteins L9e, L13e, and S4e, were transcriptionally down-regulated by ALA. The differentially expressed genes (DEGs) were primarily enriched in Gene Ontology terms such as Lipid transport, Protein metabolic process, and Ribosome biogenesis, as well as in KEGG pathways such as Complement and coagulation cascades and Ribosome. The Protein-Protein Interaction (PPI) network based on the peptide biosynthesis-related DEGs showed that ribosomal proteins such as SAe, L4e, S4e, L15e, L9e, and L13Ae had high betweenness centrality in the dietary regulation of peptide biosynthetic processes. In conclusion, under the present experimental conditions, a high level of dietary α-linolenic acid tended to suppress lipid transport and protein biosynthetic processes in the liver of Japanese seabass at the gene expression level. Show less
no PDF DOI: 10.1016/j.cbd.2018.11.005
APOA4

Proteomics study of serum exosomes in Kawasaki disease patients with coronary artery aneurysms.

Xiao-Fei Xie, Hong-Juan Chu, Yu-Fen Xu +5 more · 2019 · Cardiology journal · added 2026-04-24
To study the protein profile of the serum exosomes of patients with coronary artery aneurysms (CAA) caused by Kawasaki disease (KD). Two-dimensional electrophoresis (2-DE) was used to identify protein Show more
To study the protein profile of the serum exosomes of patients with coronary artery aneurysms (CAA) caused by Kawasaki disease (KD). Two-dimensional electrophoresis (2-DE) was used to identify proteins from the exosomes of serum obtained from children with CAA caused by KD, as well as healthy controls. Differentially expressed proteins were identified using matrix-assisted laser desorption/ionization time-of-flight/timeof-flight mass spectrometry (MALDI-TOF/TOF MS) analysis. Thirty two differentially expressed proteins were identified (18 up-regulated and 14 downregulated) from serum exosomes of children with CAA and were compared to healthy controls. The expression levels of 4 proteins (TN, RBP4, LRG1, and APOA4) were validated using Western blotting. Classification analysis and protein-protein network analysis showed that they are associated with multiple functional groups, including host immune response, inflammation, apoptotic process, developmental process, and biological adhesion process. These findings establish a comprehensive proteomic profile of serum exosomes from children with CAA caused by KD, and provide additional insights into the mechanisms of CAA caused by KD. Show less
📄 PDF DOI: 10.5603/CJ.a2018.0032
APOA4

Serum apolipoprotein C3 levels are negatively associated with hepatitis B virus DNA in HBeAg-negative chronic hepatitis B patients.

Yu Cui, Xiang-Dan Cui, Meng Xu +2 more · 2019 · Lipids in health and disease · BioMed Central · added 2026-04-24
Hepatitis B virus (HBV) infection remains a global health issue associated with substantial morbidity and mortality. Serum apolipoprotein C3 (ApoC3) and apolipoprotein A5 (ApoA5) levels were decreased Show more
Hepatitis B virus (HBV) infection remains a global health issue associated with substantial morbidity and mortality. Serum apolipoprotein C3 (ApoC3) and apolipoprotein A5 (ApoA5) levels were decreased in chronic hepatitis B (CHB) patients, however the relationship between ApoC3 or ApoA5 and HBV DNA load remains elusive. A total of 384 CHB patients including 194 HBsAg(+) HBeAg(-) and 190 HBsAg(+) HBeAg(+) and 154 healthy individuals were recruited in our study. Serum levels of alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (Chol), triglycerides (TG), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), high-density lipoproteins cholesterol (HDL-C), low-density lipoproteins cholesterol (LDL-C) and lipoprotein a (Lpa) were examined in an automatic biochemical analyzer. Apolipoprotein A5 (ApoA5) and apolipoprotein C3 (ApoC3) were detected via ELISA. Serum ApoA1, ApoB, ApoC3 and ApoA5 levels were reduced in CHB patients. In HBeAg(-) CHB patients, plasma ApoC3 levels were negatively associated with HBV DNA load (r = 0.219, P < 0.001). But no correlation between ApoA5 and HBV DNA load was observed in CHB patients. These data showed that HBV infection inhibits lipid metabolism and ApoC3 is negatively associated with HBV DNA load in HBeAg (-) CHB patients. These findings provided new evidence about the link between ApoC3-related lipid metabolism and immune response. Show less
📄 PDF DOI: 10.1186/s12944-019-1084-6
APOA5