👤 Ke Xu

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
1613
Articles
1035
Name variants
Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Shengjie Xu, Yanyong 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, Miao Xu, Yaping 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, Guo-Xing Xu, Peng 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, Meishu Xu, Yidan Xu, Tonghong Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Liang Xu, Hanyuan Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Boming Xu, Jiancheng Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Di-Mei Xu, Xiang-liang Xu, Yana Xu, Yanchang Xu, Richard H Xu, Danyi Xu, Lingli Xu, Xiaocheng Xu, Chengqi Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Hongle Xu, Xuan Xu, Jielin Xu, Yuping Xu, Limin Xu, Yinli Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Weilan Xu, Jingjing Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Shang-Fu Xu, Jiachi 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, Xiaoting Xu, Jiacheng Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Gangchun Xu, Qingqiu 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, Geyang Xu, Xingsheng 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, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Beibei Xu, Changwu Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Laizhi Xu, Jinshu Xu, Xinyu Xu, Meiyu Xu, Bi-Yun Xu, Mingliang Xu, Bingfang Xu, Weixia 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, Meixi Xu, Hongxia Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Shengyu Xu, Kelin 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, Zhongwei Xu, Zihua Xu, Qikui Xu, Zhijie Xu, Li-Jun Xu, Hanchen Xu, Qi-Qi Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, Ziqi Xu, D Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Jianjuan Xu, Bin Xu, Zhanyu Xu, Lingjuan Xu, Wenjie Xu, Cian Xu, Qiulin Xu, Shuwen Xu, Yu-Ming Xu, Zeyu Xu, Jia Xu, Yujie Xu, Zengliang Xu, Yuting Xu, Jing-Yi Xu, Jiajia 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, Jinjie Xu, Junjie 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, Wenjuan Xu, Wenjing Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Ming Xu, Jiean Xu, Keshu Xu, Weili Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Hong-wei Xu, Wen-Hao Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Fenghuang Xu, Yuzhi Xu, Tengxiao Xu, Zelin 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, Yuzhen Xu, Wei Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Xiaoming Xu, Yuanyuan Xu, Yimeng Xu, Shihao Xu, Minxuan Xu, Zhipeng Xu, Dilin Xu, Haowen Xu, Rui Xu, Jingzhou Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Mengjun Xu, Hui Ming Xu, Junfei 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, Jialu Xu, Yi-Ni Xu, Hongli Xu, Yuzhong Xu, Mingyuan Xu, Minghao Xu, C F Xu, Qinghua Xu, Yiting Xu, Qian Xu, Jiahong Xu, Xizheng Xu, Haixiang Xu, Kun Xu, Yunfei Xu, Xiaoyang Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Jinguo Xu, Guiyun Xu, Lingyi Xu, Wenbin Xu, Chunjie Xu, Cheng-Bin Xu, Manman Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Mengmeng Xu, Yu-Xin Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Waner Xu, Shiliyang Xu, Zhiyao Xu, Gu-Feng Xu, J T Xu, Wenyuan Xu, Chaohua Xu, Haifeng Xu, Ling 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, Liyi Xu, Lihui Xu, Ru-xiang Xu, Guanyi Xu, Wenyan Xu, Zongzhen Xu, Nan Xu, Jinxian Xu, Zhiting Xu, Rui-Xia 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, Cong-jian Xu, Chengbi Xu, Yibin 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, Di Xu, Ming-Jiang 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, Huihui Xu, Peiyu 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, Yao Xu, Yali Xu, Yanqi Xu, Tian Xu, Xiaojin Xu, Xiaowen Xu, Qing-Yang Xu, Lingxiang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Xingshun Xu, Fangmin 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, Enwei Xu, Hui Xu, F F Xu, Zejun Xu, Ningda 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, Zixuan Xu, Bingqi Xu, Penghui Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Qingyuan Xu, Zhaojun Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yingju Xu, Yayun Xu, Guang-Qing Xu, Kaixiang 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, Zhixian Xu, Yun 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, Kexin Xu, Kai Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Hongjiang Xu, Shuiyang 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, Cineng Xu, Xiao-Hua 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, Ning Xu, Guangyan Xu, Chengye Xu, Xizhan Xu, Ya-Peng Xu, Jianming 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, Mingjie Xu, Hui-Lian Xu, Yanwu Xu, Maodou Xu, Cong Xu, Dongjun Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Yinglin Xu, Haoyu Xu, Wenqing Xu, Jiali Xu, Changliu Xu, Xiaoke 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, De Xu, Changde 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, Shiyao Sherrie Xu, Jianing Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Iris M J Xu, Zhi 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, Cynthia M Xu, Lijun Xu, Yechun Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Jiawei Xu, Ruohong 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
Bin Liu, Xiaojing Xing, Xiang Li +3 more · 2018 · Cancer management and research · added 2026-04-24
Zinc finger protein 259 (ZNF259), also known as ZPR1, is a zinc finger-containing protein that can bind the intracellular tyrosine kinase domain of EGFR. At present, our knowledge on ZNF259 in cancers Show more
Zinc finger protein 259 (ZNF259), also known as ZPR1, is a zinc finger-containing protein that can bind the intracellular tyrosine kinase domain of EGFR. At present, our knowledge on ZNF259 in cancers is limited. Here, we aimed to explore the biological functions of ZNF259 in breast cancer and reveal their mechanisms. The expression of ZNF259 was measured in 133 cases of breast cancer by immunohistochemistry. The online database Kaplan-Meier (KM) Plotter Online Tool was used to analyze the relationship between ZNF259 expression and breast cancer patient survival prognosis. Plasmid transfection and small interfering RNA and inhibitor treatments were carried out to explore the functions of ZNF259 in breast cancer cell lines and its potential mechanism. Matrigel invasion and wound healing assays were performed to detect the invasion and migration ability of cancer cells. In addition, protein expressions in tissues and cells were determined by Western blotting. ZNF259 expression was much higher in breast cancer cells than in the adjacent normal breast duct glandular epithelial cells (75.94% vs 7.52%, ZNF259 could promote breast cancer cell invasion and migration by activating the ERK/GSK3β/Snail signaling pathway. Show less
no PDF DOI: 10.2147/CMAR.S174745
ZPR1
Xiaofeng Xu, Yirun Li, Yi Huang +10 more · 2018 · Anatolian journal of cardiology · added 2026-04-24
Coronary heart disease (CHD) is the most common cause of death worldwide. This study aimed to validate the association of the rs964184 polymorphism with the CHD risk and included 874 CHD patients and Show more
Coronary heart disease (CHD) is the most common cause of death worldwide. This study aimed to validate the association of the rs964184 polymorphism with the CHD risk and included 874 CHD patients and 776 controls. rs964184 polymorphism genotyping was performed using Tm-shift polymerase chain reaction. A strong association of the rs964184 polymorphism with CHD was found (genotype: X Our results indicate that both gender and age have great impacts on the association of the rs964184 polymorphism with CHD among Chinese. Show less
no PDF DOI: 10.14744/AnatolJCardiol.2017.8002
ZPR1
Dajiang J Liu, Gina M Peloso, Haojie Yu +229 more · 2017 · Nature genetics · Nature · added 2026-04-24
Dajiang J Liu, Gina M Peloso, Haojie Yu, Adam S Butterworth, Xiao Wang, Anubha Mahajan, Danish Saleheen, Connor Emdin, Dewan Alam, Alexessander Couto Alves, Philippe Amouyel, Emanuele Di Angelantonio, Dominique Arveiler, Themistocles L Assimes, Paul L Auer, Usman Baber, Christie M Ballantyne, Lia E Bang, Marianne Benn, Joshua C Bis, Michael Boehnke, Eric Boerwinkle, Jette Bork-Jensen, Erwin P Bottinger, Ivan Brandslund, Morris Brown, Fabio Busonero, Mark J Caulfield, John C Chambers, Daniel I Chasman, Y Eugene Chen, Yii-der Ida Chen, Rajiv Chowdhury, Cramer Christensen, Audrey Y Chu, John M Connell, Francesco Cucca, L Adrienne Cupples, Scott M Damrauer, Gail Davies, Ian J Deary, George Dedoussis, Joshua C Denny, Anna Dominiczak, Marie-Pierre Dubé, Tapani Ebeling, Gudny Eiriksdottir, Tõnu Esko, Aliki-Eleni Farmaki, Mary F Feitosa, Marco Ferrario, Jean Ferrieres, Ian Ford, Myriam Fornage, Paul W Franks, Timothy M Frayling, Ruth Frikke-Schmidt, Lars G Fritsche, Philippe Frossard, Valentin Fuster, Santhi K Ganesh, Wei Gao, Melissa E Garcia, Christian Gieger, Franco Giulianini, Mark O Goodarzi, Harald Grallert, Niels Grarup, Leif Groop, Megan L Grove, Vilmundur Gudnason, Torben Hansen, Tamara B Harris, Caroline Hayward, Joel N Hirschhorn, Oddgeir L Holmen, Jennifer Huffman, Yong Huo, Kristian Hveem, Sehrish Jabeen, Anne U Jackson, Johanna Jakobsdottir, Marjo-Riitta Jarvelin, Gorm B Jensen, Marit E Jørgensen, J Wouter Jukema, Johanne M Justesen, Pia R Kamstrup, Stavroula Kanoni, Fredrik Karpe, Frank Kee, Amit V Khera, Derek Klarin, Heikki A Koistinen, Jaspal S Kooner, Charles Kooperberg, Kari Kuulasmaa, Johanna Kuusisto, Markku Laakso, Timo Lakka, Claudia Langenberg, Anne Langsted, Lenore J Launer, Torsten Lauritzen, David C M Liewald, Li An Lin, Allan Linneberg, Ruth J F Loos, Yingchang Lu, Xiangfeng Lu, Reedik Mägi, Anders Malarstig, Ani Manichaikul, Alisa K Manning, Pekka Mäntyselkä, Eirini Marouli, Nicholas G D Masca, Andrea Maschio, James B Meigs, Olle Melander, Andres Metspalu, Andrew P Morris, Alanna C Morrison, Antonella Mulas, Martina Müller-Nurasyid, Patricia B Munroe, Matt J Neville, Jonas B Nielsen, Sune F Nielsen, Børge G Nordestgaard, Jose M Ordovas, Roxana Mehran, Christoper J O'Donnell, Marju Orho-Melander, Cliona M Molony, Pieter Muntendam, Sandosh Padmanabhan, Colin N A Palmer, Dorota Pasko, Aniruddh P Patel, Oluf Pedersen, Markus Perola, Annette Peters, Charlotta Pisinger, Giorgio Pistis, Ozren Polasek, Neil Poulter, Bruce M Psaty, Daniel J Rader, Asif Rasheed, Rainer Rauramaa, Dermot F Reilly, Alex P Reiner, Frida Renström, Stephen S Rich, Paul M Ridker, John D Rioux, Neil R Robertson, Dan M Roden, Jerome I Rotter, Igor Rudan, Veikko Salomaa, Nilesh J Samani, Serena Sanna, Naveed Sattar, Ellen M Schmidt, Robert A Scott, Peter Sever, Raquel S Sevilla, Christian M Shaffer, Xueling Sim, Suthesh Sivapalaratnam, Kerrin S Small, Albert V Smith, Blair H Smith, Sangeetha Somayajula, Lorraine Southam, Timothy D Spector, Elizabeth K Speliotes, John M Starr, Kathleen E Stirrups, Nathan Stitziel, Konstantin Strauch, Heather M Stringham, Praveen Surendran, Hayato Tada, Alan R Tall, Hua Tang, Jean-Claude Tardif, Kent D Taylor, Stella Trompet, Philip S Tsao, Jaakko Tuomilehto, Anne Tybjaerg-Hansen, Natalie R van Zuydam, Anette Varbo, Tibor V Varga, Jarmo Virtamo, Melanie Waldenberger, Nan Wang, Nick J Wareham, Helen R Warren, Peter E Weeke, Joshua Weinstock, Jennifer Wessel, James G Wilson, Peter W F Wilson, Ming Xu, Hanieh Yaghootkar, Robin Young, Eleftheria Zeggini, He Zhang, Neil S Zheng, Weihua Zhang, Yan Zhang, Wei Zhou, Yanhua Zhou, Magdalena Zoledziewska, Charge Diabetes Working Group, EPIC-InterAct Consortium, EPIC-CVD Consortium, GOLD Consortium, VA Million Veteran Program, Joanna M M Howson, John Danesh, Mark I McCarthy, Chad A Cowan, Goncalo Abecasis, Panos Deloukas, Kiran Musunuru, Cristen J Willer, Sekar Kathiresan Show less
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated w Show more
We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD. Show less
📄 PDF DOI: 10.1038/ng.3977
ANGPTL4
Mengting Sheng, Zirui Huang, Liming Pan +7 more · 2017 · Life sciences · Elsevier · added 2026-04-24
This study aimed to investigate potential candidates and molecular mechanisms of myocardial ischemia/reperfusion (I/R) injury (MIRI) in type 2 diabetes mellitus. Type 2 diabetic and myocardial I/R mou Show more
This study aimed to investigate potential candidates and molecular mechanisms of myocardial ischemia/reperfusion (I/R) injury (MIRI) in type 2 diabetes mellitus. Type 2 diabetic and myocardial I/R mouse models were established with a high fat-diet (HFD) for 24weeks and subjecting to global ischemia/reperfusion for 1h/3h, respectively. Microarray analysis was applied to screen differentially expressed genes (DEGs) in the hearts of these mice. Moreover, H9c2 cells were treated with high glucose (HG) and/or hypoxia and reoxygenation (H/R). Subsequently, the expression of suppressor of cytokine signaling 2 (SOCS2) was knocked down by siRNA followed by the above treatments. Then, the cell lipid peroxidation and apoptosis-related indicators (malondialdehyde, MDA, and lactate dehydrogenase, LDH, cleaved-caspase-3; glucose-regulated protein 78, GRP78;), Janus kinase (JAK)/signal transducers and activators of transcription (STAT) signaling pathway-related proteins (p-JAK2 and p-STAT5b) and insulin-like growth factor-1 (IGF-1) were detected. The mRNA levels of selected DEGs, such as Angptl4, Gadd45b, Rnf122 and SOCS2, showed a high degree of correlation with the microarray data. In addition, the levels of SOCS2, caspase-3, GRP78, LDH and MDA were increased, while the IGF-1 level was down-regulated in cells treated with HG and/or H/R compared to untreated cells (p<0.05). However, SOCS2 knockdown elevated the expression levels of IGF-1, p-JAK2 and p-STAT5b, as well as caspase-3, GRP78, LDH and MDA. This research suggests that overexpressed SOCS2 might exacerbates MIRI in type 2 diabetes mellitus by inhibiting the expression of IGF-1 via the JAK-STAT signaling pathway. Show less
no PDF DOI: 10.1016/j.lfs.2017.08.036
ANGPTL4
Yupeng Zhang, Jing He, Jing Zhao +5 more · 2017 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
ApoA4 exerts anti-inflammatory effects, but the mechanism remains unclear. SERPINA3 is a member of the serine proteinase inhibitor gene family, and has been shown to be involved in anti-inflammation a Show more
ApoA4 exerts anti-inflammatory effects, but the mechanism remains unclear. SERPINA3 is a member of the serine proteinase inhibitor gene family, and has been shown to be involved in anti-inflammation and associated with a number of human diseases. In this study, we revealed that ApoA4 stimulates the gene expression of SERPINA3 in mouse hepatocytes both in vivo and in vitro, in a dose- and time-dependent manner. The transcriptional response of SERPINA3 to ApoA4 is regulated through the binding of ApoA4 with nuclear receptors NR4A1 and NR1D1 on the SERPINA3 promoter, which was verified with ChIP, Luciferase activity assay and RNA interference-mediated NR4A1 or NR1D1 gene knockdown. These data suggests that ApoA4 transcriptionally induced SERPINA3 expression via NR1D1 and NR4A1. Our findings may throw light on the function of ApoA4 in inflammatory responses and acute-phase reactions, as well as the development of SERPINA3 relative diseases. Show less
📄 PDF DOI: 10.1016/j.bbrc.2017.04.058
APOA4
Xiaoming Li, Fei Wang, Min Xu +2 more · 2017 · Scientific reports · Nature · added 2026-04-24
Insulin resistance is a risk factor for type 2 diabetes mellitus. We investigated the effect of ApoA-IV on glucose uptake in the adipose and muscle tissues of mice and cultured 3T3-L1 adipocytes. We f Show more
Insulin resistance is a risk factor for type 2 diabetes mellitus. We investigated the effect of ApoA-IV on glucose uptake in the adipose and muscle tissues of mice and cultured 3T3-L1 adipocytes. We found that treatment with ApoA-IV lowered fasting blood glucose in both WT and diabetic KKAy mice by increasing glucose uptake in cardiac muscle, white adipose tissue, and brown adipose tissue through a mechanism that was partially insulin independent. Cell culture experiments showed that ApoA-IV improved glucose uptake in adipocytes in the absence of insulin by upregulating GLUT4 translocation by PI3K mediated activation of Akt signaling pathways. Considering our previous finding that ApoA-IV treatment enhanced pancreatic insulin secretion, these results suggests that ApoA-IV acts directly upon adipose tissue to improve glucose uptake and indirectly via insulin signaling. Our findings warrant future studies to identify the receptor for ApoA-IV and the downstream targets of PI3K-Akt signaling that regulate glucose uptake in adipocytes as potential therapeutic targets for treating insulin resistance. Show less
📄 PDF DOI: 10.1038/srep41289
APOA4
T Xu, F C Cardoso, A Pineda +5 more · 2017 · Journal of dairy science · added 2026-04-24
Long-term feeding of high-grain diets to dairy cows often results in systemic inflammation characterized by alterations in acute-phase proteins and other biomarkers, both in plasma and immune-responsi Show more
Long-term feeding of high-grain diets to dairy cows often results in systemic inflammation characterized by alterations in acute-phase proteins and other biomarkers, both in plasma and immune-responsive tissues like the liver. The molecular and systemic changes that characterize an acute grain feeding challenge remain unclear. The current study involved 6 Holstein and 6 Jersey cows in a replicated 2 × 2 Latin square. Periods (10 d) were divided into 4 stages (S): S1, d 1 to 3, served as baseline with total mixed ration (TMR) ad libitum; S2, d 4, served as restricted feeding, with cows offered 50% of the average daily intake observed in S1; S3, d 5, a grain challenge was performed, in which cows were fed a TMR ad libitum without (CON) or with an additional pellet wheat-barley (1:1; HIG) at 20% of dry matter intake top-dressed onto the TMR; S4, d 6 to 10, served as recovery during which cows were allowed ad libitum access to the TMR. Among the 28 biomarkers analyzed in blood 12 h after grain challenge on d 5, the concentrations of fatty acids and bilirubin increased in HIG Holstein but not Jersey cows. In Holsteins, feeding HIG also increased total protein and albumin while decreasing ceruloplasmin, myeloperoxidase, and alkaline phosphatase concentrations. At the molecular level, hepatic genes associated with inflammation (IL1B, IL6, TNF, TLR4, MYD88, and NFKB1) were upregulated in Holstein cows fed HIG versus CON. Despite such response, expression of the acute-phase proteins SAA and HP in Holsteins fed HIG compared with CON was markedly downregulated. In Holsteins fed HIG versus CON, the marked downregulation of SCD, ELOVL6, and MTTP along with upregulated CPT1A, ACOX1, and APOA5 indicated alterations in fatty acid and lipoprotein metabolism during grain challenge. Genes related to ketogenesis (HMGCS2 and ACAT1) were upregulated in Jerseys, and gluconeogenic genes (PDK4 and PCK1) were upregulated in Holstein cows fed HIG, suggesting alterations in ketone body and glucose production. Expression of phosphorylated p70S6K1, RPS6, and 4EBP1 proteins, as well as total mechanistic target of rapamycin (mTOR) protein, decreased in Holsteins fed HIG, whereas phosphorylated mTOR and 4EBP1 proteins increased in Jerseys fed HIG. From a metabolic and inflammatory biomarker standpoint, data indicate that Jersey cows better tolerated the acute grain challenge. Alterations in mTOR signaling proteins in both Jerseys and Holsteins fed HIG suggest a potential role for exogenous AA in the hepatic adaptations to grain challenge. It remains to be determined if these acute responses to a grain challenge can elicit long-term liver dysfunction, which could negatively affect welfare of the cow. Show less
no PDF DOI: 10.3168/jds.2017-13321
APOA5
Wan Jun Chen, Xiao Fan Sun, Rui Xue Zhang +8 more · 2017 · Journal of digestive diseases · Blackwell Publishing · added 2026-04-24
To investigate the clinical characteristics of patients with hypertriglyceridemic acute pancreatitis (HTGAP), and the molecular foundation contributing to hypertriglyceridemia in such patients. Clinic Show more
To investigate the clinical characteristics of patients with hypertriglyceridemic acute pancreatitis (HTGAP), and the molecular foundation contributing to hypertriglyceridemia in such patients. Clinical data from 329 patients with acute pancreatitis (AP) were analyzed. The patients were divided into the HTGAP group, with fasting serum triglyceride (TG) levels ≥500 mg/dL (5.65 mmol/L), and the non-HTGAP (NHTGAP) group. Targeted next-generation sequencing was applied to 11 HTGAP patients to identify the genetic mutations associated with hypertriglyceridemia, including apolipoprotein A-V (APOA5), APOC2, APOC3 and APOE, BLK, LPL, GPIHBP1 and LMF1. Patients in the HTGAP group, compared with those in the NHTGAP group, had a higher mortality rate (7.5% vs 0.7%, P = 0.001), more commonly seen severe AP (17.5% vs 5.2%, P = 0.004) as well as a higher recurrence rate (32.4% vs 19.9%, P = 0.070). DNA sequencing showed that two patients carried the same compound of p.G185C and p.V153M heterozygous mutations located in the APOA5 gene. Two patients carried a homozygous variation of p.C14F, in the GPIHBP1 gene. One patient had a homozygous variation of p.R176C in the APOE gene. And a rare heterozygous LMF1 gene mutation of p.P562R was detected in two patients. HTGAP was significantly severe than NHTGAP, with a high recurrence rate. Genetic information may be useful in the clinical setting for the investigation of the pathogenesis of HTGAP and its interventions. Show less
no PDF DOI: 10.1111/1751-2980.12490
APOA5
Yimin Zhu, DanDan Zhang, Dan Zhou +31 more · 2017 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Metabolic syndrome (MetS), a cluster of metabolic disturbances that increase the risk for cardiovascular disease and diabetes, was because of genetic susceptibility and environmental risk factors. To Show more
Metabolic syndrome (MetS), a cluster of metabolic disturbances that increase the risk for cardiovascular disease and diabetes, was because of genetic susceptibility and environmental risk factors. To identify the genetic variants associated with MetS and metabolic components, we conducted a genome-wide association study followed by replications in totally 12,720 participants from the north, north-eastern and eastern China. In combined analyses, independent of the top known signal at rs651821 on APOA5, we newly identified a secondary triglyceride-associated signal at rs180326 on BUD13 (P Show less
📄 PDF DOI: 10.1111/jcmm.13042
APOA5
Shengyu Tan, Xianling Liu, Yan Xu +3 more · 2017 · Sleep & breathing = Schlaf & Atmung · Springer · added 2026-04-24
The purpose of this study was to investigate the correlation between serum levels of serum apolipoprotein M (ApoM), A5 (ApoA5), and high-density lipoprotein (HDL) in patients with obstructive sleep ap Show more
The purpose of this study was to investigate the correlation between serum levels of serum apolipoprotein M (ApoM), A5 (ApoA5), and high-density lipoprotein (HDL) in patients with obstructive sleep apnea hypopnea syndrome (OSAHS) and study the effects of nasal continuous positive airway pressure treatment on these serum biomarkers. Thirty OSAHS patients and 15 non-OSAHS probands as control were selected for the study. Serum HDL, ApoM, and ApoA5 levels in two groups were detected; differences and association among them were analyzed. Patients with moderate and severe OSAHS underwent 3-month auto-continuous positive airway pressure treatment, and a comparative study was conducted to investigate the changes in blood lipids, serum ApoM, and ApoA5. In comparison to the control group, the HDL, ApoM, and ApoA5 serum levels were lower (P < 0.05). HDL was positively correlated to ApoM and ApoA5 (P < 0.001), and ApoM was positively correlated to ApoA5 (r = 0.536, P < 0.001). HDL, ApoM, and ApoA5 were significantly increased in the patients of moderate and severe OSAHS after auto-continuous positive airway pressure treatment for 3 months (P < 0.05). The HDL level was significantly lower in OSAHS patients. The decrease in serum ApoM and ApoA5 in OSAHS patients was correlated to the severity of OSAHS and HDL levels. Auto-continuous positive airway pressure treatment increased serum levels of ApoM, ApoA5, and HDL in OSAHS patients. Show less
📄 PDF DOI: 10.1007/s11325-016-1357-5
APOA5
Xiaochao Song, Chunli Song, Li Fan +4 more · 2017 · Wei sheng yan jiu = Journal of hygiene research · added 2026-04-24
To explore the association of silent information regulator 1( SIRT1) rs12778366 and apolipoprotein C3( APOC3) rs2854116 gene polymorphisms with the susceptibility of nonalcoholic fatty liver disease( Show more
To explore the association of silent information regulator 1( SIRT1) rs12778366 and apolipoprotein C3( APOC3) rs2854116 gene polymorphisms with the susceptibility of nonalcoholic fatty liver disease( NAFLD). One hundred and thirty two NAFLD patients and 252 healthy controls were enrolled in our present study according to the ultrasound diagnosis and physical examination. Venousblood samples were obtained in the morning after an overnight fast, and the samples were used to analyze the biochemical index, relating to hepatic enzymes, blood lipid and blood glucose metabolism. DNA was extracted from whole blood, and polymerase chain reaction( PCR) and mass ARRAY were used to determine the genotypes of target genes. Compared with TT genotype carriers, the SIRT1 genotype rs12778366 increased the risk of NAFLD, with OR = 1. 126( 95% CI 0. 673-1. 886)( P > 0. 05). The APOC3rs2854116 TC + TT genotype increased the risk of NAFLD compared with CC genotype( OR = 1. 044, 95% CI 0. 601-1. 814, P > 0. 05). The adjusted odds ratios had no significant changes after adjusting for gender, age and BMI. Logistic regression showed that TG, body mass index( BMI), FPG, WC and UA were the independent risk factors for NAFLD( P < 0. 05), but the polymorphisms of SIRT1 rs12778366 and APOC3 rs2854116 had no significant relationship with the risk of NAFLD. SIRT1 rs12778366 and APOC3 rs2854116 polymorphisms were not associated with NAFLD susceptibility. Show less
no PDF
APOC3
Chengliang Zhu, Hengcheng Zhu, Hui Song +4 more · 2017 · Lipids in health and disease · BioMed Central · added 2026-04-24
Hepatitis B virus (HBV) infection in the body can damage liver cells and cause disorders in blood lipid metabolism. Apolipoprotein C3 (ApoC3) plays an important role in the regulation of lipid metabol Show more
Hepatitis B virus (HBV) infection in the body can damage liver cells and cause disorders in blood lipid metabolism. Apolipoprotein C3 (ApoC3) plays an important role in the regulation of lipid metabolism, but no study on the HBV regulation of ApoC3 has been reported. This purpose of this study was to investigate the effect of HBV on ApoC3 expression and its regulatory mechanism. The expression levels of ApoC3 mRNA and protein in the human hepatoma cell lines HepG2 and HepG2.2.15 were determined using real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) and Western blot. The HepG2 cells were co-transfected with the ApoC3 gene promoter and either HBV-infected clone pHBV1.3 or its individual genes. The changes in luciferase activity were assayed. The expression levels of ApoC3 mRNA and protein were determined using RT-qPCR and Western blot. The content of ApoC3 in the supernatant of the cultured cells was determined using an enzyme-linked immunosorbent assay (ELISA). The sera were collected from 149 patients with HBV infection and 102 healthy subjects at physical examination as the normal controls. The serological levels of ApoC3 in the HBV group and the normal control group were determined using ELISA. The contents of serum triglyceride (TG) and very-low-density lipoprotein (VLDL) in the HBV patients and the normal control were determined using an automatic biochemical analyser. The expression levels of ApoC3 mRNA and protein were lower in the HepG2.2.15 cells than in the HepG2 cells. pHBV1.3 and its X gene could inhibit the activity of the ApoC3 promoter and its mRNA and protein expression. The serum levels of ApoC3, VLDL and TG were 65.39 ± 7.48 μg/ml, 1.24 ± 0.49 mmol/L, and 0.46 ± 0.10 mmol/L in the HBV patients and 41.02 ± 6.88 μg/ml, 0.76 ± 0.21 mmol/L, 0.29 ± 0.05 mmol/L in the normal controls, respectively, statistical analysis revealed significantly lower serum levels of ApoC3, VLDL and TG in HBV patients than in the normal controls (P < 0.05). HBV can inhibit the in vivo and in vitro synthesis and secretion of ApoC3. Show less
📄 PDF DOI: 10.1186/s12944-017-0607-2
APOC3
Sha Li, Yuan-Lin Guo, Xi Zhao +11 more · 2017 · Scientific reports · Nature · added 2026-04-24
We investigated simultaneously traditional and novel lipid indices, alone or in combination, in predicting coronary severity assessed by Gensini score (GS) in 1605 non-lipid-lowering-drug-treated pati Show more
We investigated simultaneously traditional and novel lipid indices, alone or in combination, in predicting coronary severity assessed by Gensini score (GS) in 1605 non-lipid-lowering-drug-treated patients undergoing coronary angiography. Firstly, levels of triglycerides (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), non high density lipoprotein cholesterol (non-HDL-C), apolipoprotein (apo) B, lipoprotein (a) [Lp(a)], proprotein convertase subtilisin/kexin type 9 (PCSK9), apoC3, small dense LDL (sdLDL) and large HDL were increased, while HDL-C and apoA1 levels were decreased as GS status (all p for trend <0.05). However, gender stratification analyses showed similar associations between lipids and GS in men but not in women. Secondly, multiple logistic regression analyses indicated that the 12 indices were predictive for high GS (≥24) but not for low GS (1-23) compared with normal coronary (GS = 0) except for TG (neither) and apoB (both). Finally, we found that interactions between two indices with mutually exclusive composition were positively associated with GS status except for couples of TC + apoC3, apoB/PCSK9/apoC3 + sdLDL-C. Concordant elevations in the two showed the highest predictive values for high GS (all p for trend <0.05). Therefore, lipid biomarkers were associated with coronary severity and their adverse changes in combination emerged greater risks in men but not in women. Show less
📄 PDF DOI: 10.1038/s41598-017-00499-9
APOC3
Sha Li, Xi Zhao, Yan Zhang +10 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
Plasma levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein C-III (apoC3) and small dense low density lipoprotein cholesterol (sdLDL-C), have been recently recognized as cir Show more
Plasma levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein C-III (apoC3) and small dense low density lipoprotein cholesterol (sdLDL-C), have been recently recognized as circulating atherosclerosis-related lipid measurements. We aimed to elucidate their associations with current dyslipidemias, and identify their levels at increased risk to dyslipidemia. A total of 1,605 consecutive, non-treated patients undergoing diagnostic/interventional coronary angiography were examined. Plasma PCSK9 and apoC3 levels were determined using a validated ELISA assay, and sdLDL-C was measured by the Lipoprint LDL System. Plasma levels of PCSK9, apoC3, and sdLDL-C were associated with the current dyslipidemias classification (all p<0.001). PCSK9 significantly conferred prediction of both hypercholesterolemia and combined hyperlipidemia at a level of 235 ng/ml; apoC3 levels for hypertriglyceridemia, hypercholesterolemia and combined hyperlipidemia were 80.0, 71.5, and 86.4 μg/ml, respectively; and sdLDL-C for hypertriglyceridemia, hypercholesterolemia, combined hyperlipidemia and hypo high density lipoprotein (HDL) cholesterolemia 3.5, 2.5, 4.5, and 2.5 mg/dl, respectively (all p<0.001 for area under the receiver-operating characteristic curve). In a polytomous logistic model comparing increasing LDL-C categories, the interactions with high PCSK9, apoC3, and sdLDL-C elevated gradually. Similarly, apoC3 and sdLDL-C showed elevated interaction with increased triglyceride categories, and only sdLDL-C showed interaction with decreased HDL cholesterol (HDL-C) categories. Furthermore, discordances of PCSK9, apoC3, and sdLDL-C with current dyslipidemias were observed. PCSK9, apoC3, and sdLDL-C showed significant interactions with current dyslipidemias, and were predictive in the screening. The substantial discordances with current dyslipidemias might provide novel view in lipid management and further cardiovascular benefit. Show less
📄 PDF DOI: 10.18632/oncotarget.12471
APOC3
Hao Wang, Jiamao Luo, Chun Liu +8 more · 2017 · BMC bioinformatics · BioMed Central · added 2026-04-24
Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development Show more
Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which miRNAs play central roles in CRC's pathogenesis and how they interact with transcription factors (TFs) to regulate the cancer-related genes. To address this issue, we systematically explored the major regulation motifs, namely feed-forward loops (FFLs), that consist of miRNAs, TFs and CRC-related genes through the construction of a miRNA-TF regulatory network in CRC. First, we compiled CRC-related miRNAs, CRC-related genes, and human TFs from multiple data sources. Second, we identified 13,123 3-node FFLs including 25 miRNA-FFLs, 13,005 TF-FFLs and 93 composite-FFLs, and merged the 3-node FFLs to construct a CRC-related regulatory network. The network consists of three types of regulatory subnetworks (SNWs): miRNA-SNW, TF-SNW, and composite-SNW. To enhance the accuracy of the network, the results were filtered by using The Cancer Genome Atlas (TCGA) expression data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs. We then applied a hub identification strategy to the significant FFLs and found 5 significant components, including two miRNAs (hsa-miR-25 and hsa-miR-31), two genes (ADAMTSL3 and AXIN1) and one TF (BRCA1). The follow up prognosis analysis indicated all of the 5 significant components having good prediction of overall survival of CRC patients. In summary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the complex CRC regulatory mechanisms and guide clinical treatment. The discovered 5 regulators might have critical roles in CRC pathogenesis and warrant future investigation. Show less
📄 PDF DOI: 10.1186/s12859-017-1796-4
AXIN1
Hailiang Xu, Yunyun Feng, Zhankui Jia +7 more · 2017 · Oncology letters · added 2026-04-24
Axis inhibition protein 1 (AXIN1) is characterized as a tumor suppressor in numerous types of cancer. However, the functional role of AXIN1 in the testicular germ cell tumors (TGCTs) remains unclear. Show more
Axis inhibition protein 1 (AXIN1) is characterized as a tumor suppressor in numerous types of cancer. However, the functional role of AXIN1 in the testicular germ cell tumors (TGCTs) remains unclear. The human embryonal carcinoma-derived cell line NTera2 was transfected with a recombinant AXIN1 expression vector (pcDNA3.1-AXIN1) and/or a small interfering RNA (siRNA) directed against AXIN1 (siAXIN). Following transfection, the mRNA and protein levels of AXIN1 were determined via reverse transcription-quantitative polymerase chain reaction analysis and western blotting, respectively. In addition, cell viability, apoptosis and the expression of apoptosis-associated proteins [apoptosis regulator Bax (Bax) and B-cell lymphoma (Bcl)-2] and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway proteins [phosphorylated (p)-mTOR, mTOR, p-AKT, AKT, P-70S ribosomal protein S6 (S6) and S6] were assessed. AXIN1 mRNA and protein levels were increased following transfection with pcDNA3.1-AXIN1 and decreased following transfection with siAXIN1 compared with their respective control groups. After overexpression of AXIN1, NTera2 cell viability and expression of Bcl-2, p-mTOR p-AKT and p-S6 protein was decreased, while apoptosis and Bax protein levels were increased, compared with the control group. However, there was no significant difference in AXIN1 mRNA expression, apoptosis or Bax/Bcl-2 protein expression when NTera2 cells were simultaneously transfected with pcDNA3.1-AXIN1+siAXIN1. In conclusion, the results of the present study indicate that overexpression of AXIN1 protects against TGCTs via inhibiting the PI3K/AKT/mTOR signaling pathway, suggesting that AXIN1 may be a potential target for gene therapy in TGCTs. Show less
no PDF DOI: 10.3892/ol.2017.6214
AXIN1
Daniel W H Ho, Lo K Chan, Yung T Chiu +11 more · 2017 · Gut · added 2026-04-24
We investigated the mutational landscape of mammalian target of rapamycin (mTOR) signalling cascade in hepatocellular carcinomas (HCCs) with chronic HBV background, aiming to evaluate and delineate mu Show more
We investigated the mutational landscape of mammalian target of rapamycin (mTOR) signalling cascade in hepatocellular carcinomas (HCCs) with chronic HBV background, aiming to evaluate and delineate mutation-dependent mechanism of mTOR hyperactivation in hepatocarcinogenesis. We performed next-generation sequencing on human HCC samples and cell line panel. Systematic mutational screening of mTOR pathway-related genes was undertaken and mutant genes were evaluated based on their recurrence. Protein expressions of tuberous sclerosis complex (TSC)1, TSC2 and pRPS6 were assessed by immunohistochemistry in human HCC samples. Rapamycin sensitivity was estimated by colony-formation assay in HCC cell lines and the treatment was further tested using our patient-derived tumour xenograft (PDTX) models. We identified and confirmed multiple mTOR components as recurrently mutated in HBV-associated HCCs. Of significance, we detected frequent (16.2%, n=18/111) mutations of Taken together, our findings suggest the significance of previously undocumented mutation-dependent mTOR hyperactivation and frequent Show less
📄 PDF DOI: 10.1136/gutjnl-2016-312734
AXIN1
Xinran Wang, Xuehua Lin, Xuanqi Xu +5 more · 2017 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
Cholesteryl ester transfer protein (CETP) has been identified as a potential target for cardiovascular disease (CVD) for its important role in the reverse cholesteryl transfer (RCT) process. In our pr Show more
Cholesteryl ester transfer protein (CETP) has been identified as a potential target for cardiovascular disease (CVD) for its important role in the reverse cholesteryl transfer (RCT) process. In our previous work, compound Show less
📄 PDF DOI: 10.3390/molecules22111925
CETP
Xinran Wang, Lijuan Hao, Xuanqi Xu +4 more · 2017 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
N,N-Substituted amine derivatives were designed by utilizing a bioisosterism strategy. Consequently, twenty-two compounds were synthesized and evaluated for their inhibitory activity against CETP. Str Show more
N,N-Substituted amine derivatives were designed by utilizing a bioisosterism strategy. Consequently, twenty-two compounds were synthesized and evaluated for their inhibitory activity against CETP. Structure-activity relationship (SAR) studies indicate that hydrophilic groups at the 2-position of the tetrazole and 3,5-bistrifluoromethyl groups on the benzene ring provide important contributions to the potency. Among these compounds, compound 17 exhibited excellent CETP inhibitory activity (IC Show less
📄 PDF DOI: 10.3390/molecules22101658
CETP
Ziyun Wang, Manabu Niimi, Qianzhi Ding +5 more · 2017 · PloS one · PLOS · added 2026-04-24
Cholesteryl ester transfer protein (CETP) is a plasma protein that mediates bidirectional transfers of cholesteryl esters and triglycerides between low-density lipoproteins and high-density lipoprotei Show more
Cholesteryl ester transfer protein (CETP) is a plasma protein that mediates bidirectional transfers of cholesteryl esters and triglycerides between low-density lipoproteins and high-density lipoproteins (HDL). Because low levels of plasma CETP are associated with increased plasma HDL-cholesterol, therapeutic inhibition of CETP activity is considered an attractive strategy for elevating plasma HDL-cholesterol, thereby hoping to reduce the risk of cardiovascular disease. Interestingly, only a few laboratory animals, such as rabbits, guinea pigs, and hamsters, have plasma CETP activity, whereas mice and rats do not. It is not known whether all CETPs in these laboratory animals are functionally similar to human CETP. In the current study, we compared plasma CETP activity and characterized the plasma lipoprotein profiles of these animals. Furthermore, we studied the three CETP molecular structures, physicochemical characteristics, and binding properties with known CETP inhibitors in silico. Our results showed that rabbits exhibited higher CETP activity than guinea pigs and hamsters, while these animals had different lipoprotein profiles. CETP inhibitors can inhibit rabbit and hamster CETP activity in a similar manner to human CETP. Analysis of CETP molecules in silico revealed that rabbit and hamster CETP showed many features that are similar to human CETP. These results provide novel insights into understanding CETP functions and molecular properties. Show less
📄 PDF DOI: 10.1371/journal.pone.0180772
CETP
Jifeng Zhang, Manabu Niimi, Dongshan Yang +16 more · 2017 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
CETP (cholesteryl ester transfer protein) plays an important role in lipoprotein metabolism; however, whether inhibition of CETP activity can prevent cardiovascular disease remains controversial. We g Show more
CETP (cholesteryl ester transfer protein) plays an important role in lipoprotein metabolism; however, whether inhibition of CETP activity can prevent cardiovascular disease remains controversial. We generated CETP knockout (KO) rabbits by zinc finger nuclease gene editing and compared their susceptibility to cholesterol diet-induced atherosclerosis to that of wild-type (WT) rabbits. On a chow diet, KO rabbits showed higher plasma levels of high-density lipoprotein (HDL) cholesterol than WT controls, and HDL particles of KO rabbits were essentially rich in apolipoprotein AI and apolipoprotein E contents. When challenged with a cholesterol-rich diet for 18 weeks, KO rabbits not only had higher HDL cholesterol levels but also lower total cholesterol levels than WT rabbits. Analysis of plasma lipoproteins revealed that reduced plasma total cholesterol in KO rabbits was attributable to decreased apolipoprotein B-containing particles, while HDLs remained higher than that in WT rabbits. Both aortic and coronary atherosclerosis was significantly reduced in KO rabbits compared with WT rabbits. Apolipoprotein B-depleted plasma isolated from CETP KO rabbits showed significantly higher capacity for cholesterol efflux from macrophages than that from WT rabbits. Furthermore, HDLs isolated from CETP KO rabbits suppressed tumor necrosis factor-α-induced vascular cell adhesion molecule 1 and E-selectin expression in cultured endothelial cells. These results provide evidence that genetic ablation of CETP activity protects against cholesterol diet-induced atherosclerosis in rabbits. Show less
📄 PDF DOI: 10.1161/ATVBAHA.117.309114
CETP
Jiyeon Kim, Zeping Hu, Ling Cai +23 more · 2017 · Nature · Nature · added 2026-04-24
Metabolic reprogramming by oncogenic signals promotes cancer initiation and progression. The oncogene KRAS and tumour suppressor STK11, which encodes the kinase LKB1, regulate metabolism and are frequ Show more
Metabolic reprogramming by oncogenic signals promotes cancer initiation and progression. The oncogene KRAS and tumour suppressor STK11, which encodes the kinase LKB1, regulate metabolism and are frequently mutated in non-small-cell lung cancer (NSCLC). Concurrent occurrence of oncogenic KRAS and loss of LKB1 (KL) in cells specifies aggressive oncological behaviour. Here we show that human KL cells and tumours share metabolomic signatures of perturbed nitrogen handling. KL cells express the urea cycle enzyme carbamoyl phosphate synthetase-1 (CPS1), which produces carbamoyl phosphate in the mitochondria from ammonia and bicarbonate, initiating nitrogen disposal. Transcription of CPS1 is suppressed by LKB1 through AMPK, and CPS1 expression correlates inversely with LKB1 in human NSCLC. Silencing CPS1 in KL cells induces cell death and reduces tumour growth. Notably, cell death results from pyrimidine depletion rather than ammonia toxicity, as CPS1 enables an unconventional pathway of nitrogen flow from ammonia into pyrimidines. CPS1 loss reduces the pyrimidine to purine ratio, compromises S-phase progression and induces DNA-polymerase stalling and DNA damage. Exogenous pyrimidines reverse DNA damage and rescue growth. The data indicate that the KL oncological genotype imposes a metabolic vulnerability related to a dependence on a cross-compartmental pathway of pyrimidine metabolism in an aggressive subset of NSCLC. Show less
📄 PDF DOI: 10.1038/nature22359
CPS1
Linjie Yu, Yi Liu, Hui Yang +5 more · 2017 · Journal of Alzheimer's disease : JAD · added 2026-04-24
Amyloid-β (Aβ) is a key neuropathological hallmark of Alzheimer's disease (AD). Postsynaptic density protein 93 (PSD-93) is a key scaffolding protein enriched at postsynaptic sites. The aim of the pre Show more
Amyloid-β (Aβ) is a key neuropathological hallmark of Alzheimer's disease (AD). Postsynaptic density protein 93 (PSD-93) is a key scaffolding protein enriched at postsynaptic sites. The aim of the present study was to examine whether PSD-93 overexpression could alleviate Aβ-induced cognitive dysfunction in APPswe/PS1dE9 (APP/PS1) mice by reducing Aβ levels in the brain. The level of PSD-93 was significantly decreased in the hippocampus of 6-month-old APP/PS1 mice compared with that in wild-type mice. Following lentivirus-mediated PSD-93 overexpression, cognitive function, synaptic function, and amyloid burden were investigated. The open field test, Morris water maze test, and fear condition test revealed that PSD-93 overexpression ameliorated spatial memory deficits in APP/PS1 mice. The facilitation of long-term potentiation induction was observed in APP/PS1 mice after PSD-93 overexpression. The expression of somatostatin receptor 4 (SSTR4) and neprilysin was increased, while the amyloid plaque load and Aβ levels were decreased in the brains of APP/PS1 mice. Moreover, PSD-93 interacted with SSTR4 and affected the level of SSTR4 on cell membrane, which was associated with the ubiquitination. Together, these findings suggest that PSD-93 attenuates spatial memory deficits and decreases amyloid levels in APP/PS1 mice, which might be associated with Aβ catabolism, and overexpression of PSD-93 might be a potential therapy for AD. Show less
no PDF DOI: 10.3233/JAD-170320
DLG2
Jan Smida, Hongen Xu, Yanping Zhang +9 more · 2017 · International journal of cancer · Wiley · added 2026-04-24
Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. It is characterized by highly complex karyotypes with structural and numerical chromosomal alterations. T Show more
Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. It is characterized by highly complex karyotypes with structural and numerical chromosomal alterations. The observed OS-specific characteristics in localization and frequencies of chromosomal breakages strongly implicate a specific set of responsible driver genes or a specific mechanism of fragility induction. In this study, a comprehensive assessment of somatic copy number alterations (SCNAs) was performed in 160 OS samples using whole-genome CytoScan High Density arrays (Affymetrix, Santa Clara, CA). Genes or regions frequently targeted by SCNAs were identified. Breakage analysis revealed OS specific unstable regions in which well-known OS tumor suppressor genes, including TP53, RB1, WWOX, DLG2 and LSAMP are located. Certain genomic features, such as transposable elements and non-B DNA-forming motifs were found to be significantly enriched in the vicinity of chromosomal breakage sites. A complex breakage pattern-chromothripsis-has been suggested as a widespread phenomenon in OS. It was further demonstrated that hyperploidy and in particular chromothripsis were strongly correlated with OS patient clinical outcome. The revealed OS-specific fragility pattern provides novel clues for understanding the biology of OS. Show less
no PDF DOI: 10.1002/ijc.30778
DLG2
Anna Gref, Simon K Merid, Olena Gruzieva +43 more · 2017 · American journal of respiratory and critical care medicine · added 2026-04-24
The evidence supporting an association between traffic-related air pollution exposure and incident childhood asthma is inconsistent and may depend on genetic factors. To identify gene-environment inte Show more
The evidence supporting an association between traffic-related air pollution exposure and incident childhood asthma is inconsistent and may depend on genetic factors. To identify gene-environment interaction effects on childhood asthma using genome-wide single-nucleotide polymorphism (SNP) data and air pollution exposure. Identified loci were further analyzed at epigenetic and transcriptomic levels. We used land use regression models to estimate individual air pollution exposure (represented by outdoor NO In the European cohorts, 186 SNPs had an interaction P < 1 × 10 Our results indicated that gene-environment interactions are important for asthma development and provided supportive evidence for interaction with air pollution for ADCY2, B4GALT5, and DLG2. Show less
no PDF DOI: 10.1164/rccm.201605-1026OC
DLG2
Xiaotao Xu, Yuehua Wei, Shidong Wang +2 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
Serine-arginine protein kinase 1 (SRPK1) phosphorylates proteins involved in the regulation of several mRNA processing pathways including alternative splicing. SRPK1 has been reported to be over-expre Show more
Serine-arginine protein kinase 1 (SRPK1) phosphorylates proteins involved in the regulation of several mRNA processing pathways including alternative splicing. SRPK1 has been reported to be over-expressed in multiple cancers including prostate, breast, lung and glioma. Several studies further identified that inhibition of SRPK1 showed tumor-suppressive effects, thus raising SRPK1 as a novel candidate chemotherapy target. Interestingly, SRPK1 plays tumor suppressing role in mouse embryonic fibroblasts, on that SRPK1-silencing induces cell transformation. Therefore, the effect of SRPK1 seems heterogeneously in different cell types and tissues. The existence and role of SRPK1 in gastric cancer (GC) hasn't been reported. Here we investigated the expression pattern of SRPK1 in GC by immunohistochemistry and found that it was up-regulated in tumor tissues, where its expression was correlated with tumor grade and prognosis. Further, we explored the signaling mechanism of SRPK1 in promoting GC progression, which revealed that both PP2A and DUSP6 phosphatases impaired the oncogenic effects of SRPK1. However, we didn't find any direct interaction between SRPK1 with PP2A or DUSP6, indicating PP2A and DUSP6 function by regulating the downstream effectors of SRPK1. Our study not only revealed the clinical significance of SRPK1 in GC, but also provided new evidence for its signaling modulation which is invaluable for novel chemotherapy development. Show less
📄 PDF DOI: 10.18632/oncotarget.18734
DUSP6
Linghua Tan, Jianhua Xu, Shiying Li +4 more · 2017 · Materials (Basel, Switzerland) · MDPI · added 2026-04-24
Novel graphitic carbon nitride/CuO (g-C₃N₄/CuO) nanocomposite was synthesized through a facile precipitation method. Due to the strong ion-dipole interaction between copper ions and nitrogen atoms of Show more
Novel graphitic carbon nitride/CuO (g-C₃N₄/CuO) nanocomposite was synthesized through a facile precipitation method. Due to the strong ion-dipole interaction between copper ions and nitrogen atoms of g-C₃N₄, CuO nanorods (length 200-300 nm, diameter 5-10 nm) were directly grown on g-C₃N₄, forming a g-C₃N₄/CuO nanocomposite, which was confirmed via X-ray diffraction (XRD), transmission electron microscopy (TEM), field emission scanning electron microscopy (FESEM), and X-ray photoelectron spectroscopy (XPS). Finally, thermal decomposition of ammonium perchlorate (AP) in the absence and presence of the prepared g-C₃N₄/CuO nanocomposite was examined by differential thermal analysis (DTA), and thermal gravimetric analysis (TGA). The g-C₃N₄/CuO nanocomposite showed promising catalytic effects for the thermal decomposition of AP. Upon addition of 2 wt % nanocomposite with the best catalytic performance (g-C₃N₄/20 wt % CuO), the decomposition temperature of AP was decreased by up to 105.5 °C and only one decomposition step was found instead of the two steps commonly reported in other examples, demonstrating the synergistic catalytic activity of the as-synthesized nanocomposite. This study demonstrated a successful example regarding the direct growth of metal oxide on g-C₃N₄ by ion-dipole interaction between metallic ions, and the lone pair electrons on nitrogen atoms, which could provide a novel strategy for the preparation of g-C₃N₄-based nanocomposite. Show less
📄 PDF DOI: 10.3390/ma10050484
DYM
Hongli Li, Binfeng He, Xueping Liu +10 more · 2017 · Theranostics · added 2026-04-24
The small GTPase Rab26 is involved in multiple processes, such as vesicle-mediated secretion and autophagy. However, the mechanisms and functions of Rab26 in the human pulmonary microvascular endothel Show more
The small GTPase Rab26 is involved in multiple processes, such as vesicle-mediated secretion and autophagy. However, the mechanisms and functions of Rab26 in the human pulmonary microvascular endothelial cells (HPMVECs) are not clear. In this study, we thoroughly investigated the role and novel mechanism of Rab26 in permeability and apoptosis of HPMVECs using a self-assembled Rab26 siRNA loaded DNA Y-motif nanoparticle (siRab26-DYM) and Rab26 adenovirus. We found that siRab26-DYM could be efficiently transfected into HPMVECs in a time- and dose-dependent manner. Importantly, the siRab26-DYM nanovector markedly aggravated the LPS-induced apoptosis and hyper-permeability of HPMVECs by promoting the nuclear translocation of Foxo1, and subsequent activation of Toll-like receptor 4 (TLR4) signal pathway. Overexpression of Rab26 by Rab26 adenoviruses partially inactivated LPS-induced TLR4 signaling pathway, suppressed the cell apoptosis and attenuated the hyperpermeability of HPMVECs. These results suggest that the permeability and apoptosis of HPMVECs can be modulated by manipulating Rab26 derived TLR4 signaling pathway, and that Rab26 can be potential therapeutic target for the treatment of vascular diseases related to endothelial barrier functions. Show less
📄 PDF DOI: 10.7150/thno.17584
DYM
Yang Xu, Qinglin Kang, Zhenlin Zhang · 2017 · Molecular medicine reports · added 2026-04-24
The aim of the present study was to identify mutations of major causative genes in six unrelated Chinese families with multiple osteochondromas (MO). Radiographic examinations and genetic analyses wer Show more
The aim of the present study was to identify mutations of major causative genes in six unrelated Chinese families with multiple osteochondromas (MO). Radiographic examinations and genetic analyses were performed in 8 patients exhibiting typical features of MO. Analysis was also performed on unaffected members of the six families and 250 healthy volunteers. Radiographies of the patients revealed multiple exostoses in the cartilage of long bones. A total of five different mutations were identified, one in exostosin‑1 (EXT1) and four in exostosin‑2 (EXT2). Two novel mutations were detected in EXT2: A missense mutation, c.1385G>A, in exon 8, resulting in p.Trp462X; and a splice site mutation, c.725+1G>C, which consisted of a heterozygous guanine‑to‑cytosine transition at nucleotide 725+1 in intron 3. Three common EXT mutations were also detected: c.1036C>T in exon 5 of EXT2 resulting in p.Gln346X; c.1299C>A in exon 8 of EXT2 resulting in p.Phe433Leu; and c.1038A>T in exon 2 of EXT1 resulting in p.Arg346Ser. In conclusion, the present study identified a novel missense mutation (c.1385G>A) in exon 8 and a splicing mutation (c.725+1G>C) in intron 3 of the EXT2 gene, which are responsible for MO in certain Chinese patients. The findings are useful for expanding the database of known EXT2 mutations and understanding the genetic basis of MO in Chinese patients, which may improve genetic counseling and the prenatal diagnosis of MO. Show less
no PDF DOI: 10.3892/mmr.2017.7252
EXT1
Yixia Wu, Lixin Zeng, Xueyan Chen +5 more · 2017 · Prostaglandins, leukotrienes, and essential fatty acids · Elsevier · added 2026-04-24
We investigated the association of single nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) gene cluster with coronary artery disease (CAD) in a case-control study and evaluated the Show more
We investigated the association of single nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) gene cluster with coronary artery disease (CAD) in a case-control study and evaluated the possible influence of genetic variation on total cholesterol (TC) and triglyceride concentrations in the controls. In total, 497 CAD patients and 495 unrelated controls were genotyped for eight SNPs in the FADS gene cluster, and the blood lipid levels of subjects were measured. Three genetic models, including codominant, dominant and recessive, were used to analyze the genotypic relationship with CAD and plasma lipid levels. Single locus genotypic analysis revealed that rs1000778 in FADS3 under a recessive model (AA vs. GG-GA) was significantly associated with CAD adjusted for risk factors. The rs1000778 minor allele AA was associated with a lower risk of CAD (OR =0.37, 95% CI: 0.15-0.89, P=0.025). In the control group, there were significant differences in TC concentrations under a recessive genetic model for rs174575 (C/G) in FADS2 and for rs174450 (A/C) and rs7115739 (G/T) in FADS3 (P=0.053, 0.016 and 0.018, respectively). The rs1000778-G variant in FADS3 may contribute to the susceptibility of CAD, but the result needs to be further confirmed because of small sample size in our study. Genetic variations in FADS2 and FADS3 influence TC concentration in the northern Chinese Han population. Show less
no PDF DOI: 10.1016/j.plefa.2017.01.014
FADS3