👤 Ling-Chun Huang

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1004
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Also published as: Feiteng Huang, Zhi-xiang Huang, Chang X Huang, Tian Hao Huang, Yewei Huang, Hongyun Huang, Jianbing Huang, Chuanbing Huang, Chunying Huang, Yongyi Huang, Yu-Ting Huang, Huizhen Huang, De Huang, Emily C Huang, Tao Huang, Aijie Huang, Haozhang Huang, Zhi-Qiang Huang, Yu-Han Huang, Ying-Jung Huang, Jianfeng Huang, Haoyu Huang, Lvzhen Huang, Peiying Huang, Xinzhu Huang, Mengjie Huang, Shoucheng Huang, Shuo Huang, Miao Huang, Fangling Huang, Tseng-Yu Huang, Kangbo Huang, K Huang, Xingguo Huang, Lijun Huang, Shau-Ku Huang, Bowen Huang, Meihua Huang, Ning-Ping Huang, Qiubo Huang, Shushu Huang, Jiaqi Huang, Janice J Huang, Honghui Huang, Xiao-Yu Huang, Yuan-Li Huang, Enhao Huang, Hui-Kuang Huang, Shengyan Huang, Na Huang, Sijia Huang, Qiang Huang, Jinbao Huang, Shi-Shi Huang, Guohong Huang, Zhen Huang, Yangqing Huang, Xianwei Huang, Dongqin Huang, Mingjun Huang, Feng Huang, Wenxin Huang, Qingzhi Huang, Lijiang Huang, Baisong Huang, Zehua Huang, Wenqing Huang, Suli Huang, Ke Huang, Huizhe Huang, MengQian Huang, Mingwei Huang, Jingyong Huang, Hao Huang, Li Huang, Jun-Hua Huang, Z Huang, Songmei Huang, Bo Huang, Yen-Chu Huang, Yamei Huang, Wuqing Huang, Minxuan Huang, Junqi Huang, Chenshen Huang, Dan Huang, Lianggui Huang, Luyao Huang, Danqing Huang, Shih-Wei Huang, Fei Wan Huang, Leijuan Huang, Heqing Huang, Jingyue Huang, Yi-Jan Huang, Qingyu Huang, Huaju Huang, Zhican Huang, Jin-Yan Huang, Biao Huang, Jia Huang, Zhiyu Huang, Zhi-Ming Huang, Ya-Ru Huang, Xiuzhen Huang, See-Chang Huang, Shang-Ming Huang, Chi-Shuan Huang, Chih-Jen Huang, Yujie Huang, Lu Huang, Hanxia Huang, Wunan Huang, Lu-Jie Huang, Jianbiao Huang, Jiuhong Huang, Hongda Huang, Xiaojing Huang, Jinglong Huang, Yunmao Huang, Bao-Yi Huang, Jun Huang, Xiangming Huang, Sixiu Huang, Lige Huang, Linsheng Huang, Guodong Huang, Yumei Huang, Guang-Yun Huang, Wenya Huang, Wenqiao Huang, Jianlu Huang, Libin Huang, Hongyi Huang, Zichong Huang, Yanshan Huang, Y Joyce Huang, Min Huang, Chuan Huang, Hong Huang, Zirui Huang, Xuehong Huang, Jian-Dong Huang, Piaopiao Huang, Chih-Hsiang Huang, Zhi-Xin Huang, Yongjie Huang, Zhipeng Huang, Baoqin Huang, Weihua Huang, Yuhua Huang, Chunjian Huang, Yanyao Huang, Jianfang Huang, Xiaoyuan Huang, Chia-Wei Huang, Xiwen Huang, Zongjian Huang, Zhenfei Huang, Chiu-Ju Huang, Yuehong Huang, Xinyue Huang, Chengrui Huang, Zhiwei Huang, Qizhen Huang, Yingying Huang, Xiaoyu Huang, Xuewei Huang, F Huang, Yi-Wen Huang, Chun-Mei Huang, Xudong Huang, Juan Huang, Liming Huang, Jiangwei Huang, Xiongfeng Huang, Jinyan Huang, Cathelin Huang, Xichang Huang, Yu-Jie Huang, Yadong Huang, Ching-Shin Huang, Huanliang Huang, Xu-Feng Huang, Guanling Huang, Zhongcheng Huang, Jianmin Huang, Binfang Huang, Wentao Huang, Chung-Hsiung Huang, Yatian Huang, Shu-Qiong Huang, Tingxuan Huang, Way-Ren Huang, Xi Huang, Wei-Chi Huang, Quanfang Huang, Yilin Huang, Cuiyu Huang, Yixian Huang, Wenhua Huang, Y Huang, Lian Huang, Xiaoshuai Huang, Y S Huang, Yueye Huang, Yali Huang, Yongqi Huang, Tang-Hsiu Huang, Lining Huang, Yihao Huang, Serina Huang, Qing Huang, Te-Hsuan Huang, Junning Huang, Jianming Huang, Li-Wei Huang, Yabo Huang, Lan Huang, Liang Huang, Alden Y Huang, Jian Huang, Yinghua Huang, Tong Huang, Junjie Huang, Yuancheng Huang, Zheng-Xiang Huang, Ying Huang, Yue-Hua Huang, Fude Huang, Li-Jiang Huang, Zhengyang Huang, Chen-Na Huang, Zhicong Huang, Wenfang Huang, Yi-ping Huang, Congcong Huang, Yichuan Huang, Zhongfeng Huang, Huiling Huang, Manyun Huang, Ai-long Huang, Guanqun Huang, Guoxing Huang, Yuqiang Huang, Hongyang Huang, Dongni Huang, Xie-Lin Huang, Zihan Huang, Zongliang Huang, Jiajun Huang, Qun Huang, Jiangtao Huang, Huimin Huang, Chuying Huang, Shi-Ying Huang, Xinying Huang, Shuai Huang, Yen-Ning Huang, Yongye Huang, Yan Huang, Xiao-Ming Huang, Richard S P Huang, Qianqian Huang, Pang-Shuo Huang, Hongqiang Huang, Mingxuan Huang, Du-Juan Huang, Xiaojie Huang, Xueming Huang, Yanru Huang, Yanping Huang, Hongying Huang, Mingyuan Huang, Chaowang Huang, Paul L Huang, Chuanjiang Huang, Yanna Huang, Yong Huang, Zhouyang Huang, Ruizhen Huang, Xuhui Huang, Wenfeng Huang, Rui Huang, Yung-Hsin Huang, Kaipeng Huang, Chunling Huang, Dajun Huang, Chih-Ting Huang, Jinling Huang, Sinchun Huang, Yu-Ching Huang, Haoyue Huang, Yan-Ting Huang, Hailin Huang, Ruina Huang, Yanlong Huang, Junyun Huang, Lixiang Huang, Hsuan-Ying Huang, Donglan Huang, Kuiyuan Huang, Jingang Huang, Yao-Kuang Huang, Liqiong Huang, Peng-Fei Huang, Yuhong Huang, Benlin Huang, Xuanzhang Huang, Yichao Huang, Qingke Huang, Jinzhou Huang, Qiuru Huang, Jin-Feng Huang, Chunfan Huang, Hongyu Huang, X Huang, Qiaobing Huang, Kai Huang, Weifeng Huang, Fan Huang, Liping Huang, Jieping Huang, Xiao-Song Huang, Xinfeng Huang, Jingjing Huang, Shau Ku Huang, Weixue Huang, Yajiao Huang, Weijun Huang, Hsien-Da Huang, Kuo-Hsiang Huang, Haomin Huang, Richard Huang, Ya-Chih Huang, Renli Huang, Meina Huang, Zhenyi Huang, Jiaoti Huang, Yunyan Huang, Jingkun Huang, Qibin Huang, Zhiqi Huang, Pei Huang, Yunru Huang, Yajuan Huang, Liang-Yu Huang, Xiuyun Huang, Shanshan Huang, Juxiang Huang, Chaoyang Huang, Yumeng Huang, Fubiao Huang, Jiahui Huang, Xiaohong Huang, Huiqiao Huang, Ruby Yun-Ju Huang, Yuhui Huang, Chuanhong Huang, Shan Huang, Lizhen Huang, Songming Huang, Ning-Na Huang, Junyuan Huang, Laiqiang Huang, K N Huang, Shu-Wei Huang, Minyuan Huang, Yiping Huang, Lingling Huang, Xiaofei Huang, Tingting Huang, Luqi Huang, Xueqi Huang, Yufen Huang, Chih-Yang Huang, Fang Huang, Jingyuan Huang, Aimin Huang, Shu-ying Huang, Guanhong Huang, Yuan-Lan Huang, Xiaoxia Huang, Caoxin Huang, Zhiping Huang, Mingrui Huang, J V Huang, Taiqi Huang, Xiaofeng Huang, Po-Jung Huang, Huayun Huang, Yin-Tsen Huang, Zhao Huang, Xingxu Huang, Lei Huang, Linchen Huang, Shu-Pang Huang, An-Fang Huang, Furong Huang, Shaoxin Huang, Shengnan Huang, Yafang Huang, Zizhan Huang, Peng Huang, Chuanjun Huang, L-B Huang, Jiao-Qian Huang, Qingxing Huang, Jiayu Huang, Hy Huang, Da Huang, Xiaoli Huang, Mingyu Huang, Chia-Chang Huang, Yongbiao Huang, Yizhou Huang, Chi-Cheng Huang, Guoyong Huang, Zhitong Huang, Xiaojuan Huang, Ai-Chun Huang, Jiawen Huang, Zhaoxia Huang, Junhao Huang, Enping Huang, Wan-Ping Huang, Kuan-Chun Huang, Yung-Yu Huang, Ariane Huang, Xiuju Huang, Hongbiao Huang, Qing-yong Huang, Chun-Yin Huang, Chuansheng Huang, Haigang Huang, Yuanyuan Huang, Linjing Huang, Chunyao Huang, Weiwei Huang, Limin Huang, Lijuan Huang, Sihua Huang, Zheng Huang, Heming Huang, Yuyang Huang, Ya-Fang Huang, Ritai Huang, Qingling Huang, Yun-Juan Huang, Hsing-Yen Huang, Zuxian Huang, Fengxian Huang, Ziheng Huang, Guangrui Huang, Youheng Huang, Pei-Chi Huang, Xuan Huang, Weibin Huang, Erya Huang, Jing Huang, Xianxian Huang, Yaowei Huang, Shaojun Huang, Xiaowen Huang, Dongmei Huang, Huixian Huang, Yang Huang, Sung-Ying Huang, Yu-Shu Huang, Riqing Huang, Yufang Huang, Melissa Y Huang, Caiyun Huang, Zhengxian Huang, Qingsong Huang, Xin Huang, Zunnan Huang, Chiun-Sheng Huang, Lanlan Huang, Qin Huang, Xinwen Huang, Xiaohua Huang, Ke-Pu Huang, Z Z Huang, Lixue Huang, Yani Huang, Chong Huang, Minqi Huang, Yikeng Huang, Ching-Tang Huang, Xiayang Huang, Zhiqin Huang, Sisi Huang, Guangjian Huang, Chang Ming Huang, Jianzhen Huang, Mao-Mao Huang, Wenjie Huang, Yingzhi Huang, Shungen Huang, Yuanyu Huang, Lihua Huang, Qiumin Huang, Manning Y Huang, Suwen Huang, Junming Huang, Yuping Huang, Chunxia Huang, Xingming Huang, Hefeng Huang, Wen Huang, Jiayue Huang, Xuxiong Huang, Ninghao Huang, Shih-Chiang Huang, Jin-Di Huang, Xuliang Huang, Jinghan Huang, Shu-Pin Huang, Shanhe Huang, Feiruo Huang, Shaoze Huang, Chunkai Huang, Catherine Huang, Yuxian Huang, Chin-Chou Huang, Yuting Huang, Xiang Huang, Yifan Huang, Yihong Huang, Yu-Chyi Huang, Xuezhe Huang, Shihao Huang, Guoqian Huang, Meng-Fan Huang, Han-Chang Huang, Zhixiang Huang, Yu-Chu Huang, Zhiqing Huang, Z-Y Huang, Dengjun Huang, Xianping Huang, Bingkun Huang, Rongjie Huang, Tingyun Huang, Zhiying Huang, Gao-Zhong Huang, Jinxing Huang, Yun Huang, Chun-Yao Huang, Jianhua Huang, Yuying Huang, Shuwen Huang, Zhifang Huang, Hete Huang, Tianpu Huang, Xuejie Huang, Haiyan Huang, Wenji Huang, Lu-Qi Huang, Qingqing Huang, Aohuan Huang, Can Huang, Chunhong Huang, Christine S Huang, Yuanshuai Huang, Haimiao Huang, Ying-Hsuan Huang, Ruiyan Huang, Saisai Huang, Qingjiang Huang, Zhengwei Huang, Xinyi Huang, Xianxi Huang, Shuang Huang, Shiya Huang, Hsuan-Cheng Huang, Chengcheng Huang, Yongtong Huang, Yeqing Huang, Dejia Huang, Jiaotian Huang, Jucun Huang, Steven Huang, Jiaxing Huang, Chen-Ping Huang, Susan M Huang, Yanyan Huang, Jinfang Huang, Menghao Huang, Xuejun Huang, Chunyu Huang, Shiying Huang, Lili Huang, Haochu Huang, Zhigang Huang, S Huang, Guicheng Huang, Xianglong Huang, Pingping Huang, Huibin Huang, G Huang, Yueh-Hsiang Huang, Chao-Yuan Huang, Nongyu Huang, Sidong Huang, Zhenrui Huang, Dishu Huang, Ailong Huang, H S Huang, Yi-Jia Huang, Yu-Ren Huang, Xianghua Huang, Huixin Huang, Yang Zhong Huang, Yue Huang, Ching-Shan Huang, Ronghua Huang, Ruihua Huang, Bao-Hua Huang, Shi-Feng Huang, Yunpeng Huang, Li-Ping Huang, S Y Huang, Yi-Chun Huang, Zhiyong Huang, Yuan-Lu Huang, Junhua Huang, Fu-Chen Huang, Youyang Huang, Xiaoyan Huang, Hu Huang, I-Chieh Huang, Nianyuan Huang, Pan Huang, Qiuyin Huang, Qi-Tao Huang, Hui Huang, Po-Hsun Huang, Yiquan Huang, Ling-Jin Huang, Zini Huang, Longfei Huang, Bingcang Huang, Ge Huang, Tieqiu Huang, Dongsheng Huang, Robert J Huang, Yuezhen Huang, Yao Huang, Heguang Huang, Xue-Ying Huang, Guangming Huang, Bevan E Huang, Pei-Ying Huang, Rong Huang, Wei Huang, Zi-Xin Huang, Qiong Huang, Qinlou Huang, Franklin W Huang, Wenshan Huang, Chien-Hsun Huang, Wenbin Huang, Ling Huang, Junwen Huang, Chin-Chang Huang, Li-Hao Huang, Luyang Huang, Jiechun Huang, Song-Mei Huang, Yen-Tsung Huang, Zhiqiang Huang, Tiantian Huang, Yusi Huang, Xiao-Fei Huang, Ying-Zhi Huang, Shengjie Huang, Hai Huang, Shenan Huang, Shilu Huang, Chuiguo Huang, Xian-sheng HUANG, Chaolin Huang, Jing-Fei Huang, Kang Huang, Jia-Jia Huang, Sheng-He Huang, Hongyan Huang, Ziling Huang, Li-Rung Huang, Kui-Yuan Huang, Tse-Shun Huang, Xingqin Huang, Ye Huang, Chuxin Huang, R H Huang, Chaoqun Huang, Xionggao Huang, Shengyun Huang, Guangqian Huang, Zhihong Huang, Xiaoman Huang, Song Bin Huang, Dongqing Huang, Fengyu Huang, Dane Huang, Ming-Shyan Huang, Rongrong Huang, Weiqi Huang, Baoying Huang, Yanqun Huang, Guoyuan Huang, Ya-Dong Huang, Guoying Huang, Runyue Huang, C Y Huang, Fuhao Huang, Chao Huang, Cheng Huang, Ruijin Huang, Hongou Huang, Tony T Huang, Zhongbin Huang, Luanluan Huang, Yongsheng Huang, Boyue Huang, Tinghua Huang, Chunyi Huang, Tingqin Huang, Jiaan Huang, Huifen Huang, Fei Huang, Haihong Huang, Xiaozhun Huang, Jiana Huang, Kate Huang, Qidi Huang, Yanxia Huang, Zhilong Huang, Tongtong Huang, Tengda Huang, Katherine Huang, Bin Huang, Yanjun Huang, Yong-Fu Huang, Shijing Huang, Jin-Hong Huang, Si-Yang Huang, Jeffrey K Huang, Ju Huang, Chunshuai Huang, Zengwen Huang, Yunchao Huang, Yansheng Huang, Ting Huang, Meng-Na Huang, Xiao-Yan Huang, Mengjun Huang, Tingping Huang, Yan-Qing Huang, Huiyan Huang, Yanhao Huang, Gang Huang, Zhang Huang, Chiu-Jung Huang, N Huang, Lixuan Huang, De-Jun Huang, Yishan Huang, Yuanpeng Huang, Bi Huang, Chieh-Liang Huang, Ming-Lu Huang, Yongzhen Huang, Chang-Jen Huang, XiaoFang Huang, Yangyang Huang, Xiaolin Huang, Bizhi Huang, Mengnan Huang, Xiao-Yong Huang, Steven Kuan-Hua Huang, Xu Huang, Chieh-Cheng Huang, Yu-Fang Huang, He Huang, Jieling Huang, Yongcan Huang, Kun Huang, Li-Jun Huang, Jinshu Huang, Chih-Chun Huang, Shutong Huang, Annie Huang, Wen-yu Huang, Xiaowu Huang, Fu-Mei Huang, Dianhua Huang, Yutong Huang, Benjamin J Huang, Gaoxingyu Huang, Yuqi Huang, Chunlan Huang, Mingjian Huang, Zuotian Huang, Huina Huang, Huapin Huang, Shu Huang, Rong Stephanie Huang, Zi-Ye Huang, Canhua Huang, Xiaoyun Huang, David J Huang, Guanrong Huang, Tim H Huang, Guanning Huang, Piao-Piao Huang, Zuyi Huang, Renbin Huang, Chenxiao Huang, Dong Huang, Zhe Huang, Huan Huang, Qiuming Huang, Wenqiong Huang, Chongbiao Huang, Qingxia Huang, Renhua Huang, Jin Huang, Shih-Yi Huang, Ronghui Huang, M C Huang, Jingtao Huang, Xianqing Huang, Pin-Rui Huang, Ran Huang, Jinlu Huang, Jie Huang, Xiao Huang, Bor-Ren Huang, Xiao-Fang Huang, Sen Huang, Xin-Di Huang, Yiwei Huang, Xiaoqing Huang, Zhenlin Huang, Changjiang Huang, Yuh-Chin T Huang, Zicheng Huang, Hao-Fei Huang, Eric Huang, X F Huang, Zeling Huang, Hsi-Yuan Huang, Xiaoying Huang, Jie Qi Huang, Guowei Huang, Gairong Huang, Huiyu Huang, Weicheng Huang, Hui-Yu Huang, Yanqin Huang, Ching-Wei Huang, Kuo-Hung Huang, Yan-Lin Huang, L Huang, Jieli Huang, Jasmin Huang, Bing Huang, Kevin Huang, Weizhen Huang, Jiajin Huang, Xingru Huang, Chao Wei Huang, Hongfeng Huang, Xuemei Huang, Ke-Ke Huang, Tsung-Wei Huang, Xiansheng Huang, Zhenyao Huang, Zebin Huang, Caihong Huang, Dongyu Huang, Tzu-Rung Huang, Meng-Chuan Huang, Yating Huang, Shiang-Suo Huang, Haobo Huang, Huanhuan Huang, Tengfei Huang, Xucong Huang, Yuqiong Huang, Yicong Huang, Lin Huang, Shiyun Huang, Yujia Huang, Yuxuan Huang, Bo-Shih Huang, Ping Huang, Hongcan Huang, Hengbin Huang, Yuxin Huang, Xue-shuang Huang, Yu-Chuen Huang, Zebo Huang, Xiaomin Huang, Ruo-Hui Huang, David Huang, Xianying Huang, Zhonglu Huang, Minglei Huang, Mengzhen Huang, Hua Huang, Meixiang Huang, Haozhong Huang, Yechao Huang, Chun Huang, S Z Huang, Tongsheng Huang, Zhilin Huang, Wenjun Huang, Poyao Huang, Rongxiang Huang, Huafei Huang, Wenda Huang, Linxue Huang, Zhi Huang, Pintong Huang, Xiaolan Huang, Lijia Huang, Hongfei Huang, Li-Yun Huang, Mengting Huang, Li-Juan Huang, Pengyu Huang, Ru-Ting Huang, Jiansheng Huang, Zhengxiang Huang, Shengfeng Huang, Chen Huang, Lixia Huang, Shixia Huang, Yutang Huang, Xianzhang Huang, Yingzhen Huang, Xun Huang, Songqian Huang, Liangchong Huang, Baihai Huang, Yu-Lei Huang, Xinen Huang, Qian Huang, Man Huang, Jiyu Huang, Xingya Huang, Tianhao Huang, Jiangfeng Huang, Zihao Huang, Feizhou Huang, Dantong Huang, Yu Huang, Huashan Huang, Yin Huang, Jinhua Huang, Jingxian Huang, Shichao Huang, Yuan Huang, Weisu Huang, Qiuyue Huang, Jun-You Huang, Hsu Chih Huang, San-Yuan Huang, Linyuan Huang, Wenying Huang, Mia L Huang, Nian Huang, Xuejing Huang, Fang-Ling Huang, Yiheng Huang, Qi Huang, Kevin Y Huang, H Huang, Xiaochun Huang, Rae-Chi Huang, Xingzhen Huang, Minjun Huang, Yi Huang, Yuejun Huang, Mei Huang, Yuguang Huang, Guoping Huang, R Stephanie Huang, Yuedi Huang, Hui-Huang Huang, Haixin Huang, Shu-Yi Huang, Zhifeng Huang, Chao-Wei Huang, Helen Huang, Guang-Jian Huang, Yulin Huang, Yanqing Huang
articles
Shui-ping ZHAO, Rong Li, Wen Dai +3 more · 2017 · PloS one · PLOS · added 2026-04-24
Xuezhikang (XZK), an extract of Chinese red yeast rice, is recommended as an optimal choice for patients with coronary heart disease (CHD) with markedly elevated triglyceride (TG) levels. This study w Show more
Xuezhikang (XZK), an extract of Chinese red yeast rice, is recommended as an optimal choice for patients with coronary heart disease (CHD) with markedly elevated triglyceride (TG) levels. This study was designed to compare the hypotriglyceridemic effects between XZK and simvastatin. The role of apolipoprotein A5 (apoA5), a key regulator of TG metabolism and a target gene of peroxisome proliferator-activated receptor α (PPARα), was to be identified in XZK-related hypotriglyceridemic actions. For these goals, hypertriglyceridemia of rats was induced by a high-fructose diet. In order to investigate the hypotriglyceridemic effects of XZK and simvastatin on these animals based on an equivalent low-density lipoprotein cholesterol (LDL-C) lowering power, we titrated their doses (XZK 80 mg/kg/d versus simvastatin 1 mg/kg/d) according to plasma LDL-C reduction of rats. Similarly, we titrated the target doses of the two agents (XZK 500 μg/ml versus simvastatin 10 μM) according to hepatocyte LDL receptor expressions, and then compared the effects of the two agents on TG and apoA5 of hepatocytes in vitro. Our results showed that XZK (80 mg/kg/d) had higher hypotriglyceridemic performance than simvastatin (1 mg/kg/d) on these animals albeit their equivalent LDL-C lowering power. Higher plasma apoA5 levels and hepatic apoA5 expressions were observed in rats treated with XZK (80 mg/kg/d) than simvastatin (1 mg/kg/d). Further, XZK (80 mg/kg/d) contributed to higher hepatic PPARα expressions of rats than simvastatin (1 mg/kg/d). Although the two agents led to an equivalent up-regulation of LDL receptors of hepatocytes, more TG reduction and apoA5 elevation were detected in hepatocytes treated with XZK (500 μg/ml) than simvastatin (10 μM). However, PPARα knockdown eliminated the above effects of XZK on hepatocytes. Therefore, our study indicates that XZK has greater hypotriglyceridemic performance than simvastatin in the setting of an equivalent LDL-C lowering power, which is attributed to more apoA5 up-regulation by this agent via the PPARα signaling pathway. Show less
📄 PDF DOI: 10.1371/journal.pone.0184949
APOA5
Dongyin Chen, Xin Huang, Hongwen Zhou +10 more · 2017 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
A series of pentacyclic triterpene 3β-ester derivatives were designed, synthesized and evaluated as a new class of cholesteryl ester transfer protein (CETP) inhibitors for the treatment of dyslipidemi Show more
A series of pentacyclic triterpene 3β-ester derivatives were designed, synthesized and evaluated as a new class of cholesteryl ester transfer protein (CETP) inhibitors for the treatment of dyslipidemia. In vitro screening assay showed that 5 out of 30 compounds displayed moderate inhibiting human CETP activity with IC Show less
no PDF DOI: 10.1016/j.ejmech.2017.08.012
CETP
Liz Mariely Garcia-Peterson, Mary Ann Ndiaye, Chandra K Singh +3 more · 2017 · Genes & cancer · Impact Journals · added 2026-04-24
Melanoma is an aggressive skin cancer that can rapidly metastasize to become fatal, if not diagnosed early. Despite recent therapeutic advances, management of melanoma remains difficult. Therefore, no Show more
Melanoma is an aggressive skin cancer that can rapidly metastasize to become fatal, if not diagnosed early. Despite recent therapeutic advances, management of melanoma remains difficult. Therefore, novel molecular targets and strategies are required to manage this neoplasm. This study was undertaken to determine the role of the sirtuin SIRT6 in melanoma. Employing a panel of human melanoma cells and normal human melanocytes, we found significant SIRT6 mRNA and protein upregulation in melanoma cells. Further, using a tissue microarray coupled with quantitative Vectra analysis, we demonstrated significant SIRT6 overexpression in human melanoma tissues. Lentiviral short hairpin RNA-mediated knockdown of SIRT6 in A375 and Hs 294T human melanoma cells significantly decreased cell growth, viability, and colony formation, induced G1-phase arrest and increased senescence-associated beta-galactosidase staining. As autophagy is important in melanoma and is associated with SIRT6, we used a qPCR array to study SIRT6 knockdown in A375 cells. We found significant modulation in several genes and/or proteins (decreases in AKT1, ATG12, ATG3, ATG7, BAK1, BCL2L1, CLN3, CTSB, CTSS, DRAM2, HSP90AA1, IRGM, NPC1, SQSTM1, TNF, and BECN1; increases in GAA, ATG10). Our data suggests that increased SIRT6 expression may contribute to melanoma development and/or progression, potentially via senescence-and autophagy-related pathways. Show less
📄 PDF DOI: 10.18632/genesandcancer.153
CLN3
Ya-Lan Chang, Shun-Fu Tseng, Yu-Ching Huang +12 more · 2017 · Nature communications · Nature · added 2026-04-24
Upon environmental changes, proliferating cells delay cell cycle to prevent further damage accumulation. Yeast Cip1 is a Cdk1 and Cln2-associated protein. However, the function and regulation of Cip1 Show more
Upon environmental changes, proliferating cells delay cell cycle to prevent further damage accumulation. Yeast Cip1 is a Cdk1 and Cln2-associated protein. However, the function and regulation of Cip1 are still poorly understood. Here we report that Cip1 expression is co-regulated by the cell-cycle-mediated factor Mcm1 and the stress-mediated factors Msn2/4. Overexpression of Cip1 arrests cell cycle through inhibition of Cdk1-G1 cyclin complexes at G1 stage and the stress-activated protein kinase-dependent Cip1 T65, T69, and T73 phosphorylation may strengthen the Cip1and Cdk1-G1 cyclin interaction. Cip1 accumulation mainly targets Cdk1-Cln3 complex to prevent Whi5 phosphorylation and inhibit early G1 progression. Under osmotic stress, Cip1 expression triggers transient G1 delay which plays a functionally redundant role with another hyperosmolar activated CKI, Sic1. These findings indicate that Cip1 functions similarly to mammalian p21 as a stress-induced CDK inhibitor to decelerate cell cycle through G1 cyclins to cope with environmental stresses.A G1 cell cycle regulatory kinase Cip1 has been identified in budding yeast but how this is regulated is unclear. Here the authors identify cell cycle (Mcm1) and stress-mediated (Msn 2/4) transcription factors as regulating Cip1, causing stress induced CDK inhibition and delay in cell cycle progression. Show less
📄 PDF DOI: 10.1038/s41467-017-00080-y
CLN3
Dexuan Ma, Jingyun Yang, Ying Wang +3 more · 2017 · American journal of medical genetics. Part A · Wiley · added 2026-04-24
Hemangioblastomas (HBs) are uncommon tumors characterized by the presence of inactivating alterations in the von Hippel-Lindau (VHL) gene in inherited cases and by infrequent somatic mutation in spora Show more
Hemangioblastomas (HBs) are uncommon tumors characterized by the presence of inactivating alterations in the von Hippel-Lindau (VHL) gene in inherited cases and by infrequent somatic mutation in sporadic entities. We performed whole exome sequencing on 11 HB patients to further elucidate the genetics of HBs. A total of 270 somatic variations in 219 genes, of which there were 86 mutations in 67 genes, were found in sporadic HBs, and 184 mutations were found in 154 genes in familial HBs. C: G>T: A and T: A>C: G mutations are relatively common in most HB patients. Genes harboring the most significant mutations include PCDH9, KLHL12, DCAF4L1, and VHL in sporadic HBs, and ZNF814, DLG2, RIMS1, PNN, and MUC7 in familial HBs. The frequency of CNV varied considerably within sporadic HBs but was relatively similar within familial HBs. Five genes, including OTOGL, PLCB4, SCEL, THSD4, and WWOX, have CNVs in the six patients with sporadic HBs, and three genes, including ABCA6, CWC27, and LAMA2, have CNVs in the five patients with familial HBs. We found new genetic mutations and CNVs that might be involved in HBs; these findings highlight the complexity of the tumorigenesis of HBs and pinpoint potential therapeutic targets for the treatment of HBs. Show less
📄 PDF DOI: 10.1002/ajmg.a.38350
DLG2
Ling Huang, Nicolle H R Litjens, Nynke M Kannegieter +3 more · 2017 · Immunity & ageing : I & A · BioMed Central · added 2026-04-24
Patients with end-stage renal disease (ESRD) have an impaired immune response with a prematurely aged T-cell system. Mitogen-activated protein kinases (MAPKs) including extracellular signal-regulated Show more
Patients with end-stage renal disease (ESRD) have an impaired immune response with a prematurely aged T-cell system. Mitogen-activated protein kinases (MAPKs) including extracellular signal-regulated kinase (ERK) and p38, regulate diverse cellular programs by transferring extracellular signals into an intracellular response. T cell receptor (TCR)-induced phosphorylation of ERK (pERK) may show an age-associated decline, which can be reversed by inhibiting dual specific phosphatase (DUSP) 6, a cytoplasmic phosphatase with substrate specificity to dephosphorylate pERK. The aim of this study was to assess whether ESRD affects TCR-mediated signaling and explore possibilities for intervening in ESRD-associated defective T-cell mediated immunity. An age-associated decline in TCR-induced pERK-levels was observed in the different CD4 TCR-mediated phosphorylation of ERK is affected in young ESRD patients consistent with the concept of premature immunological T cell ageing. Inhibition of DUSP6 specific for pERK might be a potential intervention enhancing T-cell mediated immunity in ESRD patients. Show less
📄 PDF DOI: 10.1186/s12979-017-0096-1
DUSP6
Xiaoyun Huang, Wang Liao, Yihong Huang +6 more · 2017 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Dual specificity phosphatase 6 (DUSP6), a member of the dual specificity protein phosphatase subfamily, can inactivate ERK1/2. However, its possible role in glutamate-induced oxidative cytotoxicity ef Show more
Dual specificity phosphatase 6 (DUSP6), a member of the dual specificity protein phosphatase subfamily, can inactivate ERK1/2. However, its possible role in glutamate-induced oxidative cytotoxicity effects is not clear.Here, we aimed to investigate whether DUSP6 was neuroprotective against glutamate-induced cytotoxicity in HT22 mouse hippocampal cells and primary cultured hippocampal neurons (pc-HNeu). HT22 and pc-HNeu cells were treated with varying concentrations of glutamate (from 0.05mM to 5.0mM) and DUSP6 protein expression were detected by western blotting. DUSP6-overexpressing HT22 and pc-HNeu cells were generated by transfection with DUSP6-overexpressing plasmid. The effects of DUSP6 overexpression on glutamate-induced cytotoxicity, cell death, cell apoptosis, and cell autophagy were determined by cell proliferation assays, flow cytometry, transmission electron microscopy, and western blotting. Glutamate treatment from 0.5mM to 5.0mM downregulated DUSP6 protein expression in both HT22 and pc-HNeu cells. DUSP6 overexpression ameliorated glutamate-induced cell death, apoptosis, and autophagy in both HT22 and pc-HNeu cells. Furthermore, ERK1/2 phosphorylation was decreased by DUSP6 overexpression. In conclusion, DUSP6 has neuroprotective effects against glutamate-induced cytotoxicity in HT22 and pc-HNeu cells. Targeting DUSP6 may be a useful strategy to prevent neuronal death in neurodegenerative diseases including AD. Show less
no PDF DOI: 10.1016/j.biopha.2017.04.096
DUSP6
Hua He, Meina Huang, Shenfei Sun +2 more · 2017 · PLoS genetics · PLOS · added 2026-04-24
The tree-like structure of the mammalian lung is generated from branching morphogenesis, a reiterative process that is precisely regulated by numerous factors. How the cell surface and extra cellular Show more
The tree-like structure of the mammalian lung is generated from branching morphogenesis, a reiterative process that is precisely regulated by numerous factors. How the cell surface and extra cellular matrix (ECM) molecules regulate this process is still poorly understood. Herein, we show that epithelial deletion of Heparan Sulfate (HS) synthetase Ext1 resulted in expanded branching tips and reduced branching number, associated with several mesenchymal developmental defects. We further demonstrate an expanded Fgf10 expression and increased FGF signaling activity in Ext1 mutant lungs, suggesting a cell non-autonomous mechanism. Consistent with this, we observed reduced levels of SHH signaling which is responsible for suppressing Fgf10 expression. Moreover, reactivating SHH signaling in mutant lungs rescued the tip dilation phenotype and attenuated FGF signaling. Importantly, the reduced SHH signaling activity did not appear to be caused by decreased Shh expression or protein stability; instead, biologically active form of SHH proteins were reduced in both the Ext1 mutant epithelium and surrounding wild type mesenchymal cells. Together, our study highlights the epithelial HS as a key player for dictating SHH signaling critical for lung morphogenesis. Show less
📄 PDF DOI: 10.1371/journal.pgen.1006992
EXT1
XiaoYan Guo, Wenxu Chen, Mingrui Lin +3 more · 2017 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
To detect potential mutation of EXT1 gene in a pedigree affected with multiple osteochondroma and explore its pathogenic mechanism. The coding regions and their flanking sequences of the EXT1/EXT2 gen Show more
To detect potential mutation of EXT1 gene in a pedigree affected with multiple osteochondroma and explore its pathogenic mechanism. The coding regions and their flanking sequences of the EXT1/EXT2 genes were subjected to PCR amplification and Sanger sequencing. Suspected mutations were verified by excluding possible single nucleotide polymorphisms and bioinformatics analysis. Transcripts of the EXT1 gene in the proband were analyzed by TA clone-sequencing, with its abundance compared with that of healthy controls. DNA sequencing has identified in the proband a novel heterozygous point mutation (c.1164+1G to A) at the 5'splice sites of intron 3 of the EXT1 gene. The same mutation was not found in the healthy controls. Bioinformatics analysis indicated that the mutation is highly conserved and can lead to skipping of exon 3 or aberrant splicing. TA clone-sequencing indicated that the numbers of transcripts with skipping of exon 3 has significantly increased in the proband (< 0.05) compared with the controls. The c.1164+1G to A mutation has resulted in skipping of exon 3 in a proportion of EXT1 gene transcripts. As the result, the number of transcripts with tumor suppressing function is relatively reduced and has ultimately led to the tumors. Show less
no PDF DOI: 10.3760/cma.j.issn.1003-9406.2017.03.022
EXT1
Zhengliang L Wu, Xinyi Huang, Cheryl M Ethen +3 more · 2017 · Glycobiology · Oxford University Press · added 2026-04-24
Heparan sulfate (HS) is a linear polysaccharide found in the extracellular matrix (ECM) and on the cell membrane. It plays numerous roles in cellular events, including cell growth, migration and diffe Show more
Heparan sulfate (HS) is a linear polysaccharide found in the extracellular matrix (ECM) and on the cell membrane. It plays numerous roles in cellular events, including cell growth, migration and differentiation through binding to various growth factors, cytokines and other ECM proteins. Heparanase (HPSE) is an endoglycosidase that cleaves HS in the ECM and cell membrane. By degrading HS, HPSE not only alters the integrity of the ECM but also releases growth factors and angiogenic factors bound to HS chains, therefore, changes various cellular activities, including cell mobility that is critical for cancer metastasis. Accordingly, HPSE is an ideal drug target for cancer therapeutics. Here, we describe a method for non-reducing end labeling of HS via click chemistry (CC), and further use it in a novel HPSE assay. HS chains on a recombinant human syndecan-4 are first labeled at their non-reducing ends with GlcNAz using dimeric HS polymerase EXT1/EXT2. The labeled sample is then biotinylated through CC, immobilized on a multi-well plate and detected with ELISA. HPSE digestion of the biotinylated sample removes the label and, therefore, reduces the signal in ELISA assay. Non-reducing end labeling avoids the interference in an HPSE reaction caused by any internal labeling of HS. The assay is very sensitive with only 2.5 ng of labeled syndecan-4 needed in each reaction. The assay is also highly reproducible with a Z' > 0.6. Overall, this new method is suitable for high-throughput drug screening on HPSE. Show less
no PDF DOI: 10.1093/glycob/cww130
EXT1
Meng-Chuan Huang, Wen-Tsan Chang, Hsin-Yu Chang +5 more · 2017 · International journal of environmental research and public health · MDPI · added 2026-04-24
Polyunsaturated fatty acids (PUFA) correlate with risk of dyslipidemia and cardiovascular diseases. Fatty acid desaturase (
📄 PDF DOI: 10.3390/ijerph14060572
FADS1
Fa Chen, Tao Lin, Lingjun Yan +8 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
The aim of this study was to investigate the independent and combined effects of fatty acid desaturase 1 (FADS1) gene polymorphism and fish consumption on oral cancer. A hospital-based case-control st Show more
The aim of this study was to investigate the independent and combined effects of fatty acid desaturase 1 (FADS1) gene polymorphism and fish consumption on oral cancer. A hospital-based case-control study was performed including 305 oral cancer patients and 579 cancer-free controls. The genotypes were determined by TaqMan genotyping assay. Non-conditional logistic regression model was used to assess the effects of FADS1 rs174549 polymorphism and fish intake. Subjects carrying A allele of rs174549 significantly reduced the risk of oral cancer (AA VS GG, OR: 0.65, 95% CI: 0.42-0.99; AA VS AG+GG, OR: 0.67, 95% CI: 0.46-0.98). Moreover, the statistically significant reverse associations were especially evident in men, smokers, alcohol drinkers and those age ≤ 60 years. Additionally, fish intake ≥7 times/week showed a 73% reduction in risk for oral cancer compared to those who ate fish less than 2 times/week (OR: 0.27, 95% CI: 0.18-0.42). Furthermore, a significant gene-diet multiplicative interaction was observed between FADS1 rs174549 polymorphism and fish intake for oral cancer (P=0.028). This preliminary study suggests that FADS1 rs174549 polymorphism and fish consumption may be protective factors for oral cancer, with a gene-diet multiplicative interaction. Functional studies with larger samples are required to confirm our findings. Show less
📄 PDF DOI: 10.18632/oncotarget.15069
FADS1
Xueying Tian, Yan Li, Lingjuan He +22 more · 2017 · Nature communications · Nature · added 2026-04-24
Noncompaction cardiomyopathy is characterized by the presence of extensive trabeculations, which could lead to heart failure and malignant arrhythmias. How trabeculations resolve to form compact myoca Show more
Noncompaction cardiomyopathy is characterized by the presence of extensive trabeculations, which could lead to heart failure and malignant arrhythmias. How trabeculations resolve to form compact myocardium is poorly understood. Elucidation of this process is critical to understanding the pathophysiology of noncompaction disease. Here we use genetic lineage tracing to mark the Nppa Show less
📄 PDF DOI: 10.1038/s41467-017-00118-1
HEY2
Bingqing Yu, Zhaoxiang Liu, Jiangfeng Mao +10 more · 2017 · Steroids · Elsevier · added 2026-04-24
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) converts the inactive Δ4-androstenedione (A) to testosterone (T). Its deficiency is the most common testosterone biosynthesis defect that results in Show more
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) converts the inactive Δ4-androstenedione (A) to testosterone (T). Its deficiency is the most common testosterone biosynthesis defect that results in 46,XY Disorders Of Sex Development (DSD). However, the disease is difficult to distinguish from other 46,XY DSD for similar clinical phenotypes. Therefore, genetic testing provides good criteria for the diagnosis of the disease. In this study, HSD17B3 gene was examined in 3 unrelated Chinese patients with 46,XY DSD. Direct sequencing and quantitative PCR of HSD17B3 gene revealed the presence of a compound heterozygous mutation (p.I60T/exon1 deletion) in Patient 1, a homozygous (p.I60T) mutation in Patient 2 and a frameshift mutation (p.V25Efs∗54) and an exon1 deletion in Patient 3. All of the mutations have not been reported previously. These novel mutations may expand the mutation database of HSD17B3 gene and provide us new insights into the molecular mechanism of 17β-HSD3 deficiency. It is noteworthy that when direct sequence analysis showed a rare homozygous mutation in patients with non-consanguineous parents, "apparent homozygosity" should be taken into an account and the intragenic deletion should be screened. In addition, when single mutation was found in patients with disease in recessive heredity mode, the intragenic deletion should also be screened. Show less
no PDF DOI: 10.1016/j.steroids.2017.07.009
HSD17B12
Xiaohui Ning, Yan Yang, Hong Deng +6 more · 2017 · Steroids · Elsevier · added 2026-04-24
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) is expressed almost exclusively in the testes and specifically converts the weak androgenic androstenedione to active testosterone (T) in the presenc Show more
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) is expressed almost exclusively in the testes and specifically converts the weak androgenic androstenedione to active testosterone (T) in the presence of NADPH. Additionally, studies have demonstrated that 17β-HSD3 is over-expressed in hormone-dependent prostate cancer. T, which interacts with the androgen receptor (AR), eventually stimulates the growth of prostate cancer cells. Defects in T synthesis or action impair the development of the male phenotype during embryogenesis and cause the autosomal recessive disorder male pseudohermaphroditism. Affected individuals are often born with female-appearing external genitalia and are reared as females. Since 17β-HSD3 plays a central role in T production, it has been recognized as a promising therapeutic target to reduce the circulating level of androgens and to suppress androgen-sensitive tumor proliferation. In recent decades, improvements have been made in the development of 17β-HSD3 inhibitors. Herein, we give an overview of the main structure and function of human 17β-HSD3 and summarize steroidal and non-steroidal inhibitors of 17β-HSD3, which can be a potential target for prostate cancer. Show less
no PDF DOI: 10.1016/j.steroids.2017.02.003
HSD17B12
Zhaohui Shao, Xinhua Lee, Guanrong Huang +6 more · 2017 · The Journal of neuroscience : the official journal of the Society for Neuroscience · Society for Neuroscience · added 2026-04-24
Differentiation and maturation of oligodendrocyte progenitor cells (OPCs) involve the assembly and disassembly of actin microfilaments. However, how actin dynamics are regulated during this process re Show more
Differentiation and maturation of oligodendrocyte progenitor cells (OPCs) involve the assembly and disassembly of actin microfilaments. However, how actin dynamics are regulated during this process remains poorly understood. Leucine-rich repeat and Ig-like domain-containing Nogo receptor interacting protein 1 (LINGO-1) is a negative regulator of OPC differentiation. We discovered that anti-LINGO-1 antibody-promoted OPC differentiation was accompanied by upregulation of cytoplasmic gelsolin (cGSN), an abundant actin-severing protein involved in the depolymerization of actin filaments. Treating rat OPCs with cGSN siRNA reduced OPC differentiation, whereas overexpression of cGSN promoted OPC differentiation Show less
no PDF DOI: 10.1523/JNEUROSCI.3722-16.2017
LINGO1
Ya-Sian Chang, Hsien-Da Huang, Kun-Tu Yeh +1 more · 2017 · International journal of oncology · added 2026-04-24
The aim of the present study was to identify genomic alterations in Taiwanese endometrial cancer patients. This information is vitally important in Taiwan, where endometrial cancer is the second most Show more
The aim of the present study was to identify genomic alterations in Taiwanese endometrial cancer patients. This information is vitally important in Taiwan, where endometrial cancer is the second most common gynecological cancer. We performed whole-exome sequencing on DNA from 14 tumor tissue samples from Taiwanese endometrial cancer patients. We used the Genome Analysis Tool kit software package for data analysis, and the dbSNP, Catalogue of Somatic Mutations in Cancer (COSMIC) and The Cancer Genome Atlas (TCGA) databases for comparisons. Variants were validated via Sanger sequencing. We identified 143 non-synonymous mutations in 756 canonical cancer-related genes and 1,271 non-synonymous mutations in non-canonical cancer-related genes in 14 endometrial samples. PTEN, KRAS and PIK3R1 were the most frequently mutated canonical cancer-related genes. Our results revealed nine potential driver genes (MAPT, IL24, MCM6, TSC1, BIRC2, CIITA, DST, CASP8 and NOTCH2) and 21 potential passenger genes (ARMCX4, IGSF10, VPS13C, DCT, DNAH14, TLN1, ZNF605, ZSCAN29, MOCOS, CMYA5, PCDH17, UGT1A8, CYFIP2, MACF1, NUDT5, JAKMIP1, PCDHGB4, FAM178A, SNX6, IMP4 and PCMTD1). The detected molecular aberrations led to putative activation of the mTOR, Wnt, MAPK, VEGF and ErbB pathways, as well as aberrant DNA repair, cell cycle control and apoptosis pathways. We characterized the mutational landscape and genetic alterations in multiple cellular pathways of endometrial cancer in the Taiwanese population. Show less
no PDF DOI: 10.3892/ijo.2017.3919
MACF1
Shan Jiang, Dongxin Zhang, Hong Huang +3 more · 2017 · BioMed research international · added 2026-04-24
📄 PDF DOI: 10.1155/2017/6895730
MAP2K5
Xuemei Liu, Zhixiang Wu, Jiamei Lian +3 more · 2017 · Scientific reports · Nature · added 2026-04-24
Chronic treatment with second-generation antipsychotic drugs (SGAs) has been associated with an increased risk of metabolic syndrome. To evaluate the longitudinal changes in glucose-lipid homeostasis Show more
Chronic treatment with second-generation antipsychotic drugs (SGAs) has been associated with an increased risk of metabolic syndrome. To evaluate the longitudinal changes in glucose-lipid homeostasis after SGA use, we studied the time-dependent effects of olanzapine (OLZ) (3 mg/kg, b.i.d.) or clozapine (CLZ) (20 mg/kg, b.i.d.) treatment on metabolic profiles for 9 weeks in rats. Although only OLZ significantly increased body weight in rats, both OLZ and CLZ elevated blood lipid levels. Chronic OLZ treatment induced significant weight gain leading to a higher fasting insulin level and impaired glucose tolerance, whereas CLZ lowered fasting insulin levels and impaired glucose tolerance independent of weight gain. Treatment with both drugs deranged AKT/GSK phosphorylation and up-regulated muscarinic M3 receptors in the rats' livers. Consistent with an elevation in lipid levels, both OLZ and CLZ significantly increased the protein levels of nuclear sterol regulatory element-binding proteins (SREBPs) in the liver, which was associated with improvement in hepatic histamine H1R. However, enhanced carbohydrate response element binding protein (ChREBP) signalling was observed in only CLZ-treated rats. These results suggest that SGA-induced glucose-lipid metabolic disturbances could be independent of weight gain, possibly through activation of SREBP/ChREBP in the liver. Show less
📄 PDF DOI: 10.1038/s41598-017-02884-w
MLXIPL
Farbod Sedaghat-Hamedani, Jan Haas, Feng Zhu +35 more · 2017 · European heart journal · Oxford University Press · added 2026-04-24
In this study, we aimed to clinically and genetically characterize LVNC patients and investigate the prevalence of variants in known and novel LVNC disease genes. Left ventricular non-compaction cardi Show more
In this study, we aimed to clinically and genetically characterize LVNC patients and investigate the prevalence of variants in known and novel LVNC disease genes. Left ventricular non-compaction cardiomyopathy (LVNC) is an increasingly recognized cause of heart failure, arrhythmia, thromboembolism, and sudden cardiac death. We sought here to dissect its genetic causes, phenotypic presentation and outcome. In our registry with follow-up of in the median 61 months, we analysed 95 LVNC patients (68 unrelated index patients and 27 affected relatives; definite familial LVNC = 23.5%) by cardiac phenotyping, molecular biomarkers and exome sequencing. Cardiovascular events were significantly more frequent in LVNC patients compared with an age-matched group of patients with non-ischaemic dilated cardiomyopathy (hazard ratio = 2.481, P = 0.002). Stringent genetic classification according to ACMG guidelines revealed that TTN, LMNA, and MYBPC3 are the most prevalent disease genes (13 patients are carrying a pathogenic truncating TTN variant, odds ratio = 40.7, Confidence interval = 21.6-76.6, P < 0.0001, percent spliced in 76-100%). We also identified novel candidate genes for LVNC. For RBM20, we were able to perform detailed familial, molecular and functional studies. We show that the novel variant p.R634L in the RS domain of RBM20 co-segregates with LVNC, leading to titin mis-splicing as revealed by RNA sequencing of heart tissue in mutation carriers, protein analysis, and functional splice-reporter assays. Our data demonstrate that the clinical course of symptomatic LVNC can be severe. The identified pathogenic variants and distribution of disease genes-a titin-related pathomechanism is found in every fourth patient-should be considered in genetic counselling of patients. Pathogenic variants in the nuclear proteins Lamin A/C and RBM20 were associated with worse outcome. Show less
no PDF DOI: 10.1093/eurheartj/ehx545
MYBPC3
Yibo Gong, Yifeng Yang, Qin Wu +5 more · 2017 · Scientific reports · Nature · added 2026-04-24
Inflammatory factors regulated by NF-κB play a significant role in PAH and myocardial hypertrophy. LXR activation may inhibit myocardial hypertrophy via suppressing inflammatory pathways; it is unknow Show more
Inflammatory factors regulated by NF-κB play a significant role in PAH and myocardial hypertrophy. LXR activation may inhibit myocardial hypertrophy via suppressing inflammatory pathways; it is unknown whether LXR is also involved in PAH-induced myocardial hypertrophy or remodeling. To further explore the protective effect of LXR in PAH-induced cardiac hypertrophy and remodeling, a PAH model was developed, and T0901317, an agonist of LXR, was used to examine the effect of LXR activation. PAH rats demonstrated obvious cardiac hypertrophy and remodeling in the right ventricle, but significant improvement of cardiac hypertrophy and remodeling was observed in PAH rats treated with T0901317. Through RT-PCR, Western blot and ELISA examination, NF-κB, IL-6, TNF-α, and iNOS were found to be significantly reduced in PAH rats treated with T0901317 compared to PAH rats treated with DMSO. Apoptosis was also significantly reduced in PAH rats treated with T0901317. Thus, LXR activation may inhibit PAH-induced cardiac hypertrophy and remodeling by inhibiting NF-κB-mediated inflammatory pathways. Show less
no PDF DOI: 10.1038/s41598-017-04640-6
NR1H3
Hua Su, Fei Yang, Qiuting Wang +10 more · 2017 · Molecular cell · Elsevier · added 2026-04-24
The class III phosphoinositide 3-kinase VPS34 plays a key role in the regulation of vesicular trafficking and macroautophagy. So far, we know little about the molecular mechanism of VPS34 activation b Show more
The class III phosphoinositide 3-kinase VPS34 plays a key role in the regulation of vesicular trafficking and macroautophagy. So far, we know little about the molecular mechanism of VPS34 activation besides its interaction with regulatory proteins to form complexes. Here, we report that VPS34 is specifically acetylated by the acetyltransferase p300, and p300-mediated acetylation represses VPS34 activity. Acetylation at K771 directly diminishes the affinity of VPS34 for its substrate PI, while acetylation at K29 hinders the VPS34-Beclin 1 core complex formation. Inactivation of p300 induces VPS34 deacetylation, PI3P production, and autophagy, even in AMPK Show less
no PDF DOI: 10.1016/j.molcel.2017.07.024
PIK3C3
Qin-Min Ge, Chun-Mei Huang, Xiang-Yang Zhu +2 more · 2017 · PloS one · PLOS · added 2026-04-24
To identify specific miRNAs involved in sepsis-induced AKI and to explore their targeting pathways. The expression profiles of miRNAs in serum from patients with sepsis-induced AKI (n = 6), sepsis-non Show more
To identify specific miRNAs involved in sepsis-induced AKI and to explore their targeting pathways. The expression profiles of miRNAs in serum from patients with sepsis-induced AKI (n = 6), sepsis-non AKI (n = 6), and healthy volunteers (n = 3) were investigated by microarray assay and validated by quantitative PCR (qPCR). The targets of the differentially expressed miRNAs were predicted by Target Scan, mirbase and Miranda. Then the significant functions and involvement in signaling pathways of gene ontology (GO) and KEGG pathways were analyzed. Furthermore, eight miRNAs were randomly selected out of the differentially expressed miRNAs for further testing by qPCR. qPCR analysis confirmed that the expressions levels of hsa-miR-23a-3p, hsa-miR-4456, hsa-miR-142-5p, hsa-miR-22-3p and hsa-miR-191-5p were significantly lower in patients with sepsis compared with the healthy volunteers, while hsa-miR-4270, hsa-miR-4321, hsa-miR-3165 were higher in the sepsis patients. Statistically, miR-4321; miR-4270 were significantly upregulated in the sepsis-induced AKI compared with sepsis-non AKI, while only miR-4321 significantly overexpressed in the sepsis groups compared with control groups. GO analysis showed that biological processes regulated by the predicted target genes included diverse terms. They were related to kidney development, regulation of nitrogen compound metabolic process, regulation of cellular metabolic process, cellular response to oxidative stress, mitochondrial outer membrane permeabilization, etc. Pathway analysis showed that several significant pathways of the predicted target genes related to oxidative stress. miR-4321 was involved in regulating AKT1, mTOR and NOX5 expression while miR-4270 was involved in regulating PPARGC1A, AKT3, NOX5, PIK3C3, WNT1 expression. Function and pathway analysis highlighted the possible involvement of miRNA-deregulated mRNAs in oxidative stress and mitochondrial dysfunction. This study might help to improve understanding of the relationship between serum miRNAs and sepsis-induced AKI, and laid an important foundation for further identification of the potential mechanisms of sepsis-induced AKI and oxidative stress and mitochondrial dysfunction. Show less
no PDF DOI: 10.1371/journal.pone.0173292
PIK3C3
Yuan Li, Nan Sun, Zhiliang Lu +4 more · 2017 · Cancer letters · Elsevier · added 2026-04-24
Alternative splicing provides a major mechanism to generate protein diversity. Increasing evidence suggests a link of dysregulation of splicing associated with cancer. Genome-wide alternative splicing Show more
Alternative splicing provides a major mechanism to generate protein diversity. Increasing evidence suggests a link of dysregulation of splicing associated with cancer. Genome-wide alternative splicing profiling in lung cancer remains largely unstudied. We generated alternative splicing profiles in 491 lung adenocarcinoma (LUAD) and 471 lung squamous cell carcinoma (LUSC) patients in TCGA using RNA-seq data, prognostic models and splicing networks were built by integrated bioinformatics analysis. A total of 3691 and 2403 alternative splicing events were significantly associated with patient survival in LUAD and LUSC, respectively, including EGFR, CD44, PIK3C3, RRAS2, MAPKAP1 and FGFR2. The area under the curve of the receiver-operator characteristic curve for prognostic predictor in NSCLC was 0.817 at 2000 days of overall survival which were also over 0.8 in LUAD and LUSC, separately. Interestingly, splicing correlation networks uncovered opposite roles of splicing factors in LUAD and LUSC. We created prognostic predictors based on alternative splicing events with high performances for risk stratification in NSCLC patients and uncovered interesting splicing networks in LUAD and LUSC which could be underlying mechanisms. Show less
no PDF DOI: 10.1016/j.canlet.2017.02.016
PIK3C3
Hao Zhan, Jiahao Jiang, Qiman Sun +9 more · 2017 · Gastroenterology research and practice · added 2026-04-24
Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related mortality in China with increasing incidence. This study is designed to explore early genetic changes implicated in HC Show more
Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related mortality in China with increasing incidence. This study is designed to explore early genetic changes implicated in HCC tumorigenesis and progression by whole-exome sequencing. We firstly sequenced the whole exomes of 5 paired hepatitis B virus-related early-stage HCC and peripheral blood samples, followed by gene ontological analysis and pathway analysis of the single-nucleotide variants discovered. Then, the mutations of high frequency were further confirmed by Sanger sequencing. We identified a mutational signature of dominant T:A>A:T transversion in early HCC and significantly enriched pathways including ECM-receptor interaction, axon guidance, and focal adhesion and enriched biological processes containing cell adhesion, axon guidance, and regulation of pH. Eight genes, including MUC16, UNC79, USH2A, DNAH17, PTPN13, TENM4, PCLO, and PDE1C, were frequently mutated. This study reveals a mutational profile and a distinct mutation signature of T:A>A:T transversion in early-stage HCC with HBV infection, which will enrich our understanding of genetic characteristics of the early-stage HCC. Show less
no PDF DOI: 10.1155/2017/2029315
UNC79
Xinglong Yang, Jinhua Zheng, Ran An +7 more · 2017 · Neuroscience letters · Elsevier · added 2026-04-24
A large meta-analysis recently identified six new loci associated with risk of PD, but subsequent studies have given discrepant results. Here we conducted a case-control study in a Han Chinese populat Show more
A large meta-analysis recently identified six new loci associated with risk of PD, but subsequent studies have given discrepant results. Here we conducted a case-control study in a Han Chinese population in an attempt to clarify risk associations in Chinese. Among the four single-nucleotide polymorphisms (SNPs) that we examined - VPS13C-rs2414739, MIR4697-rs329648, GCH1-rs11158026, and SIPA1L2- rs10797576 we detected a significant association between rs329648 and risk of developing PD in a recessive model. This association remained significant after adjusting for gender and age (OR 1.87, 95%CI 1.295-2.694, p=8.21×10 Show less
no PDF DOI: 10.1016/j.neulet.2017.04.003
VPS13C
Janine F Felix, Jonathan P Bradfield, Claire Monnereau +112 more · 2016 · Human molecular genetics · Oxford University Press · added 2026-04-24
Janine F Felix, Jonathan P Bradfield, Claire Monnereau, Ralf J P van der Valk, Evie Stergiakouli, Alessandra Chesi, Romy Gaillard, Bjarke Feenstra, Elisabeth Thiering, Eskil Kreiner-Møller, Anubha Mahajan, Niina Pitkänen, Raimo Joro, Alana Cavadino, Ville Huikari, Steve Franks, Maria M Groen-Blokhuis, Diana L Cousminer, Julie A Marsh, Terho Lehtimäki, John A Curtin, Jesus Vioque, Tarunveer S Ahluwalia, Ronny Myhre, Thomas S Price, Natalia Vilor-Tejedor, Loïc Yengo, Niels Grarup, Ioanna Ntalla, Wei Ang, Mustafa Atalay, Hans Bisgaard, Alexandra I Blakemore, Amelie Bonnefond, Lisbeth Carstensen, Bone Mineral Density in Childhood Study (BMDCS), Early Genetics and Lifecourse Epidemiology (EAGLE) consortium, Johan Eriksson, Claudia Flexeder, Lude Franke, Frank Geller, Mandy Geserick, Anna-Liisa Hartikainen, Claire M A Haworth, Joel N Hirschhorn, Albert Hofman, Jens-Christian Holm, Momoko Horikoshi, Jouke Jan Hottenga, Jinyan Huang, Haja N Kadarmideen, Mika Kähönen, Wieland Kiess, Hanna-Maaria Lakka, Timo A Lakka, Alexandra M Lewin, Liming Liang, Leo-Pekka Lyytikäinen, Baoshan Ma, Per Magnus, Shana E McCormack, George McMahon, Frank D Mentch, Christel M Middeldorp, Clare S Murray, Katja Pahkala, Tune H Pers, Roland Pfäffle, Dirkje S Postma, Christine Power, Angela Simpson, Verena Sengpiel, Carla M T Tiesler, Maties Torrent, André G Uitterlinden, Joyce B van Meurs, Rebecca Vinding, Johannes Waage, Jane Wardle, Eleftheria Zeggini, Babette S Zemel, George V Dedoussis, Oluf Pedersen, Philippe Froguel, Jordi Sunyer, Robert Plomin, Bo Jacobsson, Torben Hansen, Juan R Gonzalez, Adnan Custovic, Olli T Raitakari, Craig E Pennell, Elisabeth Widén, Dorret I Boomsma, Gerard H Koppelman, Sylvain Sebert, Marjo-Riitta Järvelin, Elina Hyppönen, Mark I McCarthy, Virpi Lindi, Niinikoski Harri, Antje Körner, Klaus Bønnelykke, Joachim Heinrich, Mads Melbye, Fernando Rivadeneira, Hakon Hakonarson, Susan M Ring, George Davey Smith, Thorkild I A Sørensen, Nicholas J Timpson, Struan F A Grant, Vincent W V Jaddoe, Early Growth Genetics (EGG) Consortium, Bone Mineral Density in Childhood Study BMDCS Show less
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide associatio Show more
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We included 35 668 children from 20 studies in the discovery phase and 11 873 children from 13 studies in the replication phase. In total, 15 loci reached genome-wide significance (P-value < 5 × 10(-8)) in the joint discovery and replication analysis, of which 12 are previously identified loci in or close to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B and rs13387838 near ADAM23. Per additional risk allele, body mass index increased 0.04 Standard Deviation Score (SDS) [Standard Error (SE) 0.007], 0.05 SDS (SE 0.008) and 0.14 SDS (SE 0.025), for rs13253111, rs8092503 and rs13387838, respectively. A genetic risk score combining all 15 SNPs showed that each additional average risk allele was associated with a 0.073 SDS (SE 0.011, P-value = 3.12 × 10(-10)) increase in childhood body mass index in a population of 1955 children. This risk score explained 2% of the variance in childhood body mass index. This study highlights the shared genetic background between childhood and adult body mass index and adds three novel loci. These loci likely represent age-related differences in strength of the associations with body mass index. Show less
no PDF DOI: 10.1093/hmg/ddv472
ADCY3
Xiangfeng Lu, Jun Li, Huaixing Li +16 more · 2016 · Human molecular genetics · Oxford University Press · added 2026-04-24
Previously identified common variants explain only a small fraction of the trait heritability and at most loci the identities of the underlying causal genes and their functional variants still remain Show more
Previously identified common variants explain only a small fraction of the trait heritability and at most loci the identities of the underlying causal genes and their functional variants still remain unknown. To identify the low-frequency and rare coding variants that influence lipid levels, we conducted a meta-analysis of exome-wide association studies in 14,473 Chinese subjects, followed by a joint analysis with 1000 genomes imputed data from 6,534 samples. We replicated 24 previously reported lipid loci with exome-wide significance (P < 3.3 × 10 Show less
no PDF DOI: 10.1093/hmg/ddw261
APOA4
Chiao-Fang Teng, Wen-Chuan Hsieh, Ching-Wen Yang +5 more · 2016 · Molecular carcinogenesis · Wiley · added 2026-04-24
Metabolic syndrome has closely linked to the development of human hepatocellular carcinoma (HCC). By using the hepatitis B virus (HBV) X (HBx) transgenic mouse model, we studied the dynamic evolution Show more
Metabolic syndrome has closely linked to the development of human hepatocellular carcinoma (HCC). By using the hepatitis B virus (HBV) X (HBx) transgenic mouse model, we studied the dynamic evolution of serum and liver profiles of lipids and global cDNA expression at different stages of HBx tumorigenesis. We observed that the lipid (triglycerides, cholesterol, and fatty acids) profiles revealed a biphasic response pattern during the progression of HBx tumorigenesis: a small peak at early phase and a large peak or terminal switch at the tumor phase. By analyzing cDNA microarray data, the early peak correlated to the oxidative stress and pro-inflammatory response, which then resolved at the middle phase and were followed by the terminal metabolic switch in the tumor tissues. Five lipid metabolism-related genes, the arachidonate 5-lipoxygenase, lipoprotein lipase, fatty acid binding protein 4, 1-acylglycerol-3-phosphate O-acyltransferase 9, and apolipoprotein A-IV were identified to be significantly activated in HBx transgenic HCCs and further validated in human HBV-related HCCs. Inhibition of these lipid genes could reverse the effect of HBx on lipid biosynthesis and suppress HBx-induced cell proliferation in vitro. Our results support the concept that metabolic syndrome plays an important role in HBV tumorigenesis. The dysregulation of lipid metabolic genes may predict the disease progression to HCC in chronic hepatitis B patients. Show less
no PDF DOI: 10.1002/mc.22266
APOA4
Rong Li, Lu-Zhu Chen, Wang ZHAO +2 more · 2016 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Apolipoprotein A5 (apoA5) is a key regulator of triglyceride (TG) metabolism. This study is to investigate the role of apoA5 in obesity-associated hypertriglyceridemia and metformin-related hypotrigly Show more
Apolipoprotein A5 (apoA5) is a key regulator of triglyceride (TG) metabolism. This study is to investigate the role of apoA5 in obesity-associated hypertriglyceridemia and metformin-related hypotriglyceridemic actions. Two obese mouse models, including high-fat diet-induced obese mice and ob/ob obese mice, were adopted. The effects of low- and high-dose metformin were determined on plasma and hepatic TG and apoA5 of these obese mice. Besides, the effects of metformin on TG and apoA5 were also detected in mouse and human hepatocytes in vitro. (1) Plasma apoA5 levels in the obese mice were markedly elevated and positively correlated with TG. Hepatic TG contents and apoA5 expressions were also remarkably increased in the obese mice. (2) Metformin dose-dependently decreased hepatic and plasma TG and apoA5 in the obese mice. Similarly, metformin dose-dependently reduced cellular TG contents and apoA5 expressions in hepatocytes in vitro. Compared to APOA5 knock-down (KD), metformin plus APOA5 KD resulted in more TG reduction of hepatocytes. Increased hepatic and plasma apoA5 could be a result of obesity-associated hypertriglyceridemia, and metformin displays hypotriglyceridemic effects on obese mice partly via the apoA5 pathway. Show less
no PDF DOI: 10.1016/j.bbrc.2016.08.087
APOA5