👤 Riping Wu

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Also published as: Jiake Wu, Ming-Jiuan Wu, Siying Wu, Yijian Wu, Fong-Li Wu, Chih-Chung Wu, Jin'en Wu, D P Wu, Zhongwei Wu, Zixiang Wu, Haiping Wu, Geyan Wu, Qi-Zhu Wu, Jianjin Wu, Su Wu, Shwu-Yuan Wu, Xiaodi Wu, Changxin Wu, Kuen-Phon Wu, Guofeng Wu, Zhiping Wu, Xiaojun Wu, Qibing Wu, Junhua Wu, Xiaoting Wu, Cheng-Hsin Wu, Wenze Wu, Yandi Wu, Hong Wu, Zhong Wu, An-Chih Wu, Jianhui Wu, Xiaoke Wu, Zhenguo Wu, Jason H Y Wu, Bing-Bing Wu, Yi-Mi Wu, Selena Meiyun Wu, M Wu, Hui-Mei Wu, Danni Wu, Sijie Wu, Minqing Wu, Geng-ze Wu, Cheng-Hua Wu, Kun Wu, Shaofei Wu, Zhaoyang Wu, Qihan Wu, R Ryanne Wu, Kunling Wu, Hao Wu, Mingxuan Wu, Pei Wu, Wendy Wu, Yukang Wu, Douglas C Wu, Jingtao Wu, Guizhen Wu, Zhangjie Wu, Lili Wu, Jianwu Wu, Min-Jiao Wu, Biaoliang Wu, Huan Wu, Shengxi Wu, Fei-Fei Wu, Peih-Shan Wu, Guoqing Wu, Yu-Yuan Wu, Pei-Yu Wu, Geting Wu, Lun-Gang Wu, Jing Wu, Dongzhe Wu, G Wu, Junlong Wu, Jia-Jun Wu, Jiangyue Wu, Muzhou Wu, Junzhu Wu, Ray-Chin Wu, Jian-Qiu Wu, T Wu, Jianxiong Wu, Liping Wu, Haiwei Wu, Yong-Hao Wu, Guoping Wu, Jin-hua Wu, Yi Wu, Chongming Wu, You Wu, Xudong Wu, Qunzheng Wu, Liqiang Wu, Cuiling Wu, Kunfang Wu, Bian Wu, Jason Wu, Limeng Wu, Zhibing Wu, Shuying Wu, Caihong Wu, Naqiong Wu, Joseph C Wu, Huating Wu, Tianhao Wu, Zhi-Hong Wu, Congying Wu, Gaojun Wu, Dongping Wu, Chiao-En Wu, Li Wu, Haixia Wu, Yihang Wu, Shaoxuan Wu, Gen Wu, Fanchang Wu, Xiaorong Wu, Mei Wu, Jiahao Wu, Mingjie Wu, Jiapei Wu, Lingqian Wu, Jia Wu, Fangge Wu, Yanhui Wu, Sen-Chao Wu, Zhiqiang Wu, Sarah Wu, Shugeng Wu, Xuanqin Wu, Dongmei Wu, Caiwen Wu, Junjing Wu, Jiangdong Wu, Guihua Wu, Yingbiao Wu, Meini Wu, Rui Wu, Hua-Yu Wu, Bifeng Wu, Jingwan Wu, Lingling Wu, Junzheng Wu, Xinmiao Wu, Yi-Fang Wu, Yuyi Wu, Leilei Wu, Qinglin Wu, Yixuan Wu, Bin Wu, Tianqi Wu, Shiya Wu, Hui-Chen Wu, Jian Wu, Yiwen Wu, Sijun Wu, Cong Wu, Feng Wu, Xi-Ze Wu, Qiuji Wu, Alexander T H Wu, Semon Wu, Qinan Wu, Lai Man Natalie Wu, Zhuokai Wu, Panyun Wu, Ran Wu, Kui Wu, Yumei Wu, Xinrui Wu, Biwei Wu, Yueling Wu, Xing Wu, Hua Wu, Jiayi Wu, Yuen-Jung Wu, Bingjie Wu, Xiaoliang Wu, Matthew A Wu, Jin Wu, Juanjuan Wu, Qiuhong Wu, Hongfu Wu, Xiaoming Wu, Ming-Sian Wu, Ronghua Wu, Junduo Wu, Dandan Wu, Ming-Shiang Wu, Yuliang Wu, Ying-Ying Wu, Chaoling Wu, Guang-Liang Wu, De Wu, Yuanyuan Wu, Yihua Wu, Tsung-Jui Wu, Han Wu, Yulian Wu, Lipeng Wu, Zhihao Wu, Jiexi Wu, Anna H Wu, Huazhen Wu, Yaqin Wu, Qiu Wu, Shengru Wu, Chieh-Lin Stanley Wu, Xiahui Wu, Xiaoqian Wu, Jianli Wu, Jian-Yi Wu, Yun-Wen Wu, Qiuya Wu, Tsai-Kun Wu, Xinyin Wu, Guoyao Wu, Zhenfeng Wu, Guoli Wu, J W Wu, Bill X Wu, Zujun Wu, Jianliang Wu, Yuanshun Wu, Ling-Ying Wu, Zeng-An Wu, Jianrong Wu, Xue Wu, Ke Wu, Mengxue Wu, Cheng-Yang Wu, Jinghong Wu, Rongrong Wu, Ruolan Wu, Rong Wu, Kevin Zl Wu, Xiaohong Wu, Run Wu, Zaihao Wu, Chaowei Wu, Yu-Ke Wu, Xinjing Wu, Anyue Wu, Yun Wu, Xuan Wu, Shu Wu, Meili Wu, Wanxia Wu, Yi-No Wu, Chao-Liang Wu, Chengwei Wu, Y-W Wu, Pensee Wu, Zhao-Bo Wu, Guangxian Wu, Xiao Wu, Juanli Wu, Xinlei Wu, Changjie Wu, Sai Wu, Yujuan Wu, Jiawei Wu, Haoze Wu, Renlv Wu, Xiaoyang Wu, Yipeng Wu, Yuh-Lin Wu, Yu'e Wu, Dan-Chun Wu, An-Hua Wu, Meng-Chao Wu, Yuanhao Wu, Jer-Yuarn Wu, Qian-Yan Wu, Guangyan Wu, Huisheng Wu, Shuting Wu, Huijuan Wu, Long-Jun Wu, Alice Ying-Jung Wu, Xiru Wu, Zhenfang Wu, Lidi Wu, Yetong Wu, Disheng Wu, Linmei Wu, Huiwen Wu, Zhenzhou Wu, Yuhong Wu, Liang Wu, Liyan Wu, Kuan-Li Wu, Pei-Ting Wu, Xiao-Jin Wu, Terence Wu, Lifeng Wu, Shujuan Wu, Gang Wu, Xue-Mei Wu, Szu-Hsien Wu, Yan-ling Wu, Lingyan Wu, Yih-Jer Wu, Xiaokang Wu, Xinghua Wu, Chunfu Wu, Yingxia Wu, Rongling Wu, Xifeng Wu, Jinhua Wu, Ming-Yue Wu, Sihan Wu, Shiyang Wu, K D Wu, Jinmei Wu, Luyan Wu, Shin-Long Wu, Shuai Wu, Zhipeng Wu, Guangzhen Wu, Zhixiang Wu, Longting Wu, Zhengsheng Wu, Xiaoqiong Wu, Yaoxing Wu, Yuqin Wu, Yudan Wu, Hongting Wu, Zoe Wu, Chi-Jen Wu, R Wu, Zhongqiu Wu, Meina Wu, Dengying Wu, Anke Wu, Cheng-Jang Wu, Hsi-Chin Wu, Shufang Wu, Yongjiang Wu, Yuan-de Wu, Sihui Wu, Qi Wu, Wenhui Wu, Fenfang Wu, K S Wu, Jianzhi Wu, Nana Wu, Lin-Han Wu, Zhen Wu, Jinjun Wu, Chen-Lu Wu, Jing-Fang Wu, Haiyan Wu, Yihui Wu, Qiqing Wu, Zhengzhi Wu, Dai-Chao Wu, Zhenyan Wu, Wen-Jeng Wu, Guanming Wu, Yongqun Wu, Sean M Wu, Hei-Man Wu, Su-Hui Wu, Diana H Wu, Ben J Wu, Pingxian Wu, Chew-Wun Wu, Yillin Wu, Xiaobing Wu, Jiang-Bo Wu, Jerry Wu, Siming Wu, Zijun Wu, Daqing Wu, Yu-Hsuan Wu, Lichao Wu, Zhimin Wu, Daxian Wu, Qijing Wu, Zhaoyi Wu, Z Wu, Tong Wu, Cheng-Chun Wu, Shusheng Wu, Tracy Wu, Ting-Ting Wu, D Wu, Xiao-Yan Wu, Lan Wu, J Wu, Changchen Wu, Qi-Fang Wu, Changwei Wu, Liufeng Wu, Liangyan Wu, Kan Wu, Eugenia Wu, Mingming Wu, Xiaolong Wu, Chunru Wu, Zhaofei Wu, Shenhao Wu, Li-Peng Wu, Yuna Wu, Minna Wu, Justin Che-Yuen Wu, Buling Wu, Wutian Wu, Chengyu Wu, Yuwei Wu, Guixin Wu, Haijing Wu, Hei Man Wu, Qiuchen Wu, Junfei Wu, Xiao-Hui Wu, Xiaofeng Wu, Linyu Wu, Wenda Wu, Yung-Fu Wu, Mengbo Wu, Zhenling Wu, Maoqing Wu, Zuping Wu, Chun-Chieh Wu, Julian Wu, Binbin Wu, Xiaohui Wu, Qian Wu, Xinchun Wu, Shuisheng Wu, Xueqing Wu, Linxiang Wu, Bo Wu, Moxin Wu, Xiao-Cheng Wu, Shuyi Wu, Anzhou Wu, Jiahui Wu, Meiqin Wu, Shihao Wu, Jer-Yuan Wu, Wen-Shu Wu, Wudelehu Wu, Ruonan Wu, Song Wu, Yulin Wu, De-Fu Wu, Hongyu Wu, Yurong Wu, Zixuan Wu, Shih-Ying Wu, Chih-Hsing Wu, Chengrong Wu, Yinghao Wu, Yuanzhao Wu, Wenjie Wu, Baochuan Wu, Ziliang Wu, Liuting Wu, Chia-Ling Wu, Y Q Wu, Man Wu, Na Wu, Wutain Wu, Chenyang Wu, Selwin K Wu, Jinyu Wu, Ping Wu, Lorna Wu, D I Wu, Yi-Cheng Wu, Jianzhong Wu, Xiaoyun Wu, Zhourui Wu, Li-Jun Wu, Xinhe Wu, Zhi-Wei Wu, Yinan Wu, Xinyan Wu, Xin Wu, Ting-Feng Wu, Yawei Wu, Shixin Wu, Tsung-Teh Wu, Hong-Mei Wu, Xiaojin Wu, Yiqun Wu, Jiarui Wu, Qi-Nian Wu, Ju Wu, Kai-Yue Wu, Pengjie Wu, Xi-Chen Wu, Zhe Wu, Shaoping Wu, Han-Jie Wu, Zhou Wu, Haijiang Wu, Weijie Wu, Xiaojie Wu, Hongfei Wu, Yi-Ying Wu, Zhentian Wu, Ze Wu, Kai-Hong Wu, Yuting Wu, Minyao Wu, Xueyan Wu, Feifei Wu, Shinan Wu, Yonghui Wu, Haoxuan Wu, Yanzhi Wu, Yiyi Wu, Dong Wu, Guohao Wu, Wenjing Wu, Shibo Wu, Wenqian Wu, Tian Wu, Tiantian Wu, Hai-Yan Wu, Chong Wu, Hongxian Wu, Daoyuan Wu, Zongfu Wu, Ling Wu, Yuxiang Wu, Xilong Wu, Yuyu Wu, Huijian Wu, Zong-Jia Wu, Fengming Wu, Guorong Wu, Chuanhong Wu, Choufei Wu, Chi-Chung Wu, Junfang Wu, Xingwei Wu, Ling-Fei Wu, Xiaoqing Wu, Xinyang Wu, Xiaomin Wu, Yili Wu, Hong-Fu Wu, Shao-Ming Wu, Thomas D Wu, Lizhen Wu, Yuanming Wu, Hsien-Ming Wu, Jian Hui Wu, Litong Wu, Yuxian Wu, Weihua Wu, Lei Wu, C Wu, Wei Wu, Yu-E Wu, Qiulian Wu, Yuexiu Wu, Mei-Hwan Wu, Shaoze Wu, Zilong Wu, Chi-Hao Wu, Baojin Wu, Chao Wu, Yao Wu, Ya Wu, Do-Bo Wu, Wenjun Wu, Zhongren Wu, Nini Wu, Michael C Wu, Ning Wu, Ming J Wu, Jie Wu, Yi-Syuan Wu, Limei Wu, Zhenzhen Wu, Tianwen Wu, Wen-Chieh Wu, Yunhua Wu, Junfeng Wu, Shunan Wu, Junqi Wu, Honglin Wu, Jianing Wu, Maureen Wu, Yexiang Wu, Yan-Hua Wu, Mengjun Wu, Y H Wu, Mingxing Wu, Liuying Wu, Suhua Wu, Xiaomeng Wu, Shyh-Jong Wu, Tung-Ho Wu, Wenxian Wu, Hongliang Wu, Xuekun Wu, Ed Xuekui Wu, Wenqiang Wu, Chuang Wu, Jingyi Wu, Duojiao Wu, Xueyuan Wu, Ji-Zhou Wu, Lianqian Wu, Gaige Wu, Qing-Qian Wu, Haihu Wu, Xiushan Wu, Xueyao Wu, Tingchun Wu, Yafei Wu, Lingxi Wu, R-J Wu, Weidong Wu, Re-Wen Wu, Zhidan Wu, Peiyao Wu, Xuemei Wu, Chen Wu, Yiting Wu, Kerui Wu, Lihong Wu, Shiqi Wu, Liren Wu, Xiuhua Wu, Beili Wu, Yongqi Wu, Ruihong Wu, Huini Wu, Guang-Long Wu, Lingyun Wu, Po-Chang Wu, Wenxue Wu, Ru-Zi Wu, Qinghua Wu, Wenlin Wu, Changjing Wu, Xiexing Wu, J Y Wu, Jianping Wu, Guanggeng Wu, Zhichong Wu, W J Wu, Di Wu, Shaoyu Wu, Xiaotong Wu, Junyong Wu, Hui Wu, Shengde Wu, Hongyan Wu, Mengyuan Wu, Yutong Wu, Zheming Wu, Yiping Wu, Wen-Hui Wu, Guiping Wu, Dapeng Wu, Bing Wu, Wen-Sheng Wu, Yunpeng Wu, Li-Ling Wu, Xiao-Yuan Wu, Qiu-Li Wu, Baiyan Wu, Ying Wu, Xiao-Ye Wu, Da-Hua Wu, Hsing-Chieh Wu, Hui-Xuan Wu, Chieh-Jen Wu, Pengning Wu, Sichen Wu, S F Wu, Mengying Wu, Ming-Der Wu, Jia-En Wu, Weida Wu, Qi-Jun Wu, Guo-Chao Wu, Qi-Biao Wu, Zhenyong Wu, Yangfeng Wu, Lijie Wu, Zhiye Wu, Jihui Wu, Qianqian Wu, JieQian Wu, Zhengliang L Wu, Jingyun Wu, Xiaoman Wu, Ruohao Wu, Zhengfeng Wu, Yiyang Wu, Xiao-Jun Wu, Lizi Wu, Qiang Wu, J-Z Wu, Guangjie Wu, Pengfei Wu, Jundong Wu, Beier Wu, Jianying Wu, Meng-Ling Wu, Lingxiang Wu, Jamie L Y Wu, Keija Wu, Xilin Wu, Yanhua Wu, An-Li Wu, Yi-Ming Wu, Chengbiao Wu, Huanghui Wu, Dong-Feng Wu, Kunsheng Wu, Zhengcan Wu, Yuxin Wu, Kun-Rong Wu, Dong-Fang Wu, Guanxian Wu, Sensen Wu, Guifen Wu, Yifeng Wu, Pin Wu, Tzu-Chun Wu, Qingping Wu, R M Wu, Mian Wu, S J Wu, Senquan Wu, Haisu Wu, Jingjing Wu, Cheng Wu, Meng Wu, Geping Wu, Yu Wu, Yumin Wu, Xia Wu, Xian-Run Wu, William Ka Kei Wu, Juan Wu, Meng-Hsun Wu, Pei-Ei Wu, Yingying Wu, S M Wu, Xiangwei Wu, Guangrun Wu, Liuxin Wu, Yangyu Wu, Jia-Hui Wu, Jin-Zhen Wu, Shaohuan Wu, S L Wu, Yanli Wu, June K Wu, Haishan Wu, H Wu, Zhou-Ming Wu, Deqing Wu, Tao Wu, Dong-Bo Wu, Binxin Wu, Yalan Wu, Xiangxin Wu, Xueji Wu, Hongxi Wu, Zhonghui Wu, Jiaxi Wu, Tianzhi Wu, Meiqi Wu, Weiwei Wu, Yan-Jun Wu, Lijuan Wu, Jianming Wu, Tingqin Wu, P L Wu, Yih-Ru Wu, Lanlan Wu, Jianjun Wu, Jianguang Wu, An-Xin Wu, Xingjie Wu, Jianzhang Wu, Xianan Wu, Wei-Ping Wu, Fang-Tzu Wu, Haoan Wu, Wenwen Wu, Zhongjun Wu, Xi Wu, Teng Wu, Xiaoling Wu, Mengjuan Wu, Wen Wu, Yifan Wu, Yang Wu, Qianhu Wu, Shenyue Wu, Wu-Tian Wu, Qianwen Wu, Ye Wu, Gui-Qin Wu, Lixing Wu, Grace F Wu, Xing-Ping Wu, Ming Wu, Lisha Wu, Yanchuan Wu, Yuming Wu, Siqi Wu, Yuan Wu, I H Wu, Yu-Ting Wu, Hailong Wu, Minghua Wu, Zhenlong Wu, B Wu, Fang Wu, Guanzhong Wu, Liqun Wu, Guifu Wu, Chris Y Wu, Zhikang Wu, Qi-Yong Wu, Qingshi Wu, Zhao-Yang Wu, Chih-Ching Wu, Man-Jing Wu, Jun Wu, Jinhui Wu, Jincheng Wu, Linhong Wu, Hung-Tsung Wu, Tangchun Wu, Xinglong Wu, Zhen-Yang Wu, Ma Wu, Dongyan Wu, Yin Wu, Jiu-Lin Wu, Yong Wu, Yan Wu, Weizhen Wu, Changyu Wu, Dishan Wu, Fanggeng Wu, Yi-Long Wu, Yue Wu, Ge-ru Wu, Jinqiao Wu, Jing-Wen Wu, Zhongyang Wu, Lifang Wu, Songfen Wu, Jia-Wei Wu, Sheng-Li Wu, Yihan Wu, Kebang Wu, Wenyong Wu, Cai-Qin Wu, Yilong Wu, Yanan Wu, Hsiu-Chuan Wu, Xueqian Wu, Yen-Wen Wu, Paul W Wu, Xing-De Wu, Ying-Ting Wu, Mingfu Wu, Yucan Wu, Na-Qiong Wu, Jinze Wu, Linzhi Wu, Xuhan Wu, H J Wu, Ruize Wu, Dirong Wu, Chung-Yi Wu, Yaohong Wu, Jianyi Wu, Jugang Wu, Jiao Wu, Liang-Huan Wu, Xueling Wu, Ruying Wu, Gen Sheng Wu, Zhaoyuan Wu, Shiwen Wu, Andong Wu, Hsan-Au Wu, Yu-Ling Wu, Jia-Qi Wu, Yanting Wu, Xihai Wu, Lulu Wu, Xuxian Wu, Xiaomei Wu, Jingyue Wu, Shuihua Wu, Ren Wu, S Wu, Haoming Wu, Yupeng Wu, Samuel M Wu, Fan Wu, Yuesheng Wu, Yihe Wu, Tiange Wu, Jiayu Wu, Shuang Wu, Chia-Lung Wu, Shengnan Wu, Yaojiong Wu, Zhuoze Wu, Y Wu, Y Y Wu, Zimu Wu, Depei Wu, Yi-Hua Wu, Yanyan Wu, Haiyun Wu, Min Wu, Wenjuan Wu, Jinfeng Wu, Guangxi Wu, Junjie Wu, Yawen Wu, Pinglian Wu, Hui-Hui Wu, Xunwei Wu, Xuefeng Wu, Depeng Wu, Constance Wu, Dianqing Wu, Qibiao Wu, Hao-Tian Wu, Nan Wu, Hanyu Wu, Xiaojiang Wu, Cheng-Jun Wu, San-pin Wu, Xiaofan Wu, Xiwei Wu, Shi-Xin Wu, Shao-Guo Wu, Sunyi Wu, Yueheng Wu, Chengqian Wu, Kuixian Wu, Xin-Xi Wu, Guanyi Wu, Qiuxia Wu, Danhong Wu, Zhong-Jun Wu, Siyi Wu, He Wu, Xiangsheng Wu, Lanxiang Wu, Kaili Wu, Liting Wu, Zheng Wu, Ping-Hsun Wu, Wen-Ling Wu, Jiang-Nan Wu, Huanlin Wu, Yongfei Wu, Catherine A Wu, Leslie Wu, Shuo Wu, Peng-Fei Wu, Meng-Han Wu, Cho-Kai Wu, Hon-Yen Wu, Anguo Wu, Yuguang Philip Wu, Hai-Yin Wu, Yicheng Wu, Xiaolang Wu, Qing Wu, Yujie Wu, Haomin Wu, V C Wu, Xingdong Wu, Hengyu Wu, Jiang Wu, Xiaoli Wu, Chengxi Wu, Junyi Wu, William K K Wu, Ling-qian Wu, Chun Wu, Lesley Wu, Niting Wu, Jiayuan Wu, Xueying Wu, S-F Wu, Yingning Wu, David Wu, Joshua L Wu, Jin-Shang Wu, Mei-Na Wu, Guanzhao Wu, Jianqiang Wu, Runda Wu, Li-Hsien Wu, Rongjie Wu, June-Hsieh Wu, Huazhang Wu, Huanwen Wu, Xiu-Zhi Wu, Xianfeng Wu, Yanran Wu, Weibin Wu, Xuanshuang Wu, Yan Yan Wu, G X Wu, Chien-Ting Wu, Li-Na Wu, Runpei Wu, Jiaqi Wu, Qinfeng Wu, Chia-Chang Wu, Yueming Wu, Siyu Wu, Renhai Wu, Baojian Wu, Yi-Xia Wu, Wei-Yin Wu, C-H Wu, Renrong Wu, Chuan-Ling Wu, Xinran Wu, Fengying Wu, Qiuliang Wu, Guanhui Wu, Jinjie Wu, Wei-Chi Wu, Wei-Xun Wu, Meng-Na Wu, Lin Wu, Wan-Fu Wu, Jiajing Wu, Colin Chih-Chien Wu, Yajie Wu, Qiaowei Wu, Yaru Wu, Xue-Yan Wu, Xiaoping Wu, Mengchao Wu, Weijun Wu, Boquan Wu, Zelai Wu, Chunyan Wu, Pei-Wen Wu, Guojun Wu, Yichen Wu, Ming-Tao Wu, Hsueh-Erh Wu, Guang-Bo Wu, Zhi-Yong Wu, Kay L H Wu, Chia-Zhen Wu, Yong-Hong Wu, Anping Wu, Jiahang Wu, Xiaobin Wu, Ching-Yi Wu, Linzhen Wu, Xiaoxing Wu, Haidong Wu, Zhen-Qi Wu, Mark N Wu, Jianmin Wu, Guanrong Wu, Xianpei Wu, An-Dong Wu, Yanchun Wu, Dongsheng Wu, Ren-Chin Wu, Yuchen Wu, Mengna Wu, Lijun Wu, Zhuanbin Wu, Yanjing Wu, Haodi Wu, Lun Wu, Si-Jia Wu, Yongfa Wu, Ximei Wu, Hai-Ping Wu, Wenyu Wu, Xiangping Wu, L-F Wu, Yixia Wu, Haiying Wu, Yiran Wu, Yanhong Wu, Xiayin Wu, Yushun Wu, Yali Wu, Qitian Wu, Qin Wu, Xiaofu Wu, Jiamei Wu, Xiaoyong Wu, Qiong Wu, Xiaoying Wu, Wujun Wu, N Wu, Peiyi Wu, Yongmei Wu, Xiaojing Wu, Yizhou Wu, Dan Wu, Wen-Qiang Wu, Anshi Wu, Junqing Wu, Xiao-Yang Wu, Zhaoxia Wu, Liyang Wu, Hongke Wu, Mengqiu Wu, Ding Lan Wu, Peng Wu, Haibin Wu, Yingzhi Wu, Lecheng Wu, Kejia Wu, Anyi Wu, Junshu Wu, Jianxin Wu, Deguang Wu, Jiaxuan Wu, Justin C Y Wu, W Wu, Jiong Wu, Yu-Chih Wu, Qinglan Wu, Xinyi Wu, Diana Wu, Zhongluan Wu, Xuefen Wu, Yanqiong Wu, Shengming Wu, Jian-Lin Wu, Daren Wu, Donglin Wu, Lintao Wu, Xiaodong Wu, Chang-Jiun Wu, Chunshuai Wu, Irene X Y Wu, Yaping Wu, Yangna Wu, Xiping Wu, Zongheng Wu, Chia-Chen Wu, Wenyi Wu, Yansheng Wu, Aimin Wu, Shaojun Wu, Caisheng Wu, Xu Wu, Zhongchan Wu, Fei Wu, Yaohua Wu, Qinyi Wu, Yibo Wu, Zhengyu Wu, Yadi Wu, Hang Wu, L Wu, Mingjun Wu, Yuetong Wu, Wen-Juan Wu, Guangming Wu, Lingzhi Wu, Tingting Wu, Zhong-Yan Wu, Zhuzhu Wu, Yuanbing Wu, Cuiyan Wu, Colin O Wu, Baoqin Wu, Shuyan Wu, Hongmei Wu, Guangsen Wu, Xiaolin Wu, An Guo Wu, Kailang Wu, Chien-Sheng Wu, Chun-Hua Wu, Wenqi Wu, Jemma X Wu, Quanhui Wu, Qing-Wu Wu, Yanxiang Wu, Jiajin Wu, Yuan Kai Wu, Qiao Wu
articles
Shanlong Tang, Jingjing Xie, Sheng Zhang +3 more · 2019 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Ammonia, an aerial pollutant in animal facilities, affects animal health. Recent studies showed that aerial ammonia negatively impacts meat quality but the mechanism remains unknown. To understand how Show more
Ammonia, an aerial pollutant in animal facilities, affects animal health. Recent studies showed that aerial ammonia negatively impacts meat quality but the mechanism remains unknown. To understand how ammonia drives its adverse effects on pig meat quality, 18 crossbred gilts were exposed to 0, 10 or 25 mg/m Show less
📄 PDF DOI: 10.3390/ani10010002
FADS1
Wen-Ting Hsiao, Hui-Min Su, Kuan-Pin Su +5 more · 2019 · Nutrition research and practice · added 2026-04-24
Docosahexaenoic acid (DHA), an n-3 long chain polyunsaturated fatty acid (LCPUFA), is acquired by dietary intake or the The tissue DHA concentrations and mRNA levels of genes participating in DHA bios Show more
Docosahexaenoic acid (DHA), an n-3 long chain polyunsaturated fatty acid (LCPUFA), is acquired by dietary intake or the The tissue DHA concentrations and mRNA levels of genes participating in DHA biosynthesis were compared among PPARα homozygous (KO), heterozygous (HZ), and wild type (WT) mice (Exp I), and between WT mice treated with clofibrate (PPARα agonist) or those not treated (Exp II). In ExpII, the expression levels of the proteins associated with DHA function in the brain cortex and retina were also measured. An n3-PUFA depleted/replenished regimen was applied to mitigate the confounding effects of maternal DHA. PPARα ablation reduced the hepatic LCPUFA enzyme expression was altered by PPARα. Either PPARα deficiency or activation-decreased tissue DHA concentration is a stimulus for further studies to determine the functional significance. Show less
📄 PDF DOI: 10.4162/nrp.2019.13.4.286
FADS1
Liping Hou, Shangduo Chen, Hongxing Chen +8 more · 2019 · Chemosphere · Elsevier · added 2026-04-24
Natural and synthetic progestins in receiving streams can disrupt the normal endocrine systems of fish. Norethindrone (NET) is a widely used synthetic progestin that often appears in wastewater efflue Show more
Natural and synthetic progestins in receiving streams can disrupt the normal endocrine systems of fish. Norethindrone (NET) is a widely used synthetic progestin that often appears in wastewater effluents. For this research, adult female western mosquitofish (Gambusia affinis) were exposed to NET at three concentrations. The effects of NET on the following biological factors were evaluated: the histology of the ovaries and livers, the anal fin morphology, and transcription of genes related to steroidogenesis signaling pathways in the livers. After 42 d exposure to NET at 33.0 ng L Show less
no PDF DOI: 10.1016/j.chemosphere.2018.10.130
HSD17B12
Li-Jun Huang, Ge Li, Ying Ding +4 more · 2019 · Experimental neurology · Elsevier · added 2026-04-24
Leucine-rich repeat and immunoglobulin domain-containing protein 1 (LINGO-1) is a transmembrane protein that negatively regulates neural regeneration in the central nervous system. LINGO-1 expression Show more
Leucine-rich repeat and immunoglobulin domain-containing protein 1 (LINGO-1) is a transmembrane protein that negatively regulates neural regeneration in the central nervous system. LINGO-1 expression is up-regulated after central nerve injury, and is accompanied by cell death. Both LINGO-1 and cell death in the injury microenvironment are thought to limit neural regeneration, but the relationship between LINGO-1 and cell death has not been characterized. To investigate whether LINGO-1 deletion improves the spinal cord microenvironment after spinal cord injury (SCI) and contributes to cell survival, we generated LINGO-1 knockout (KO) mice. These mice and wild-type control mice were subjected to spinal cord transection. Fourteen days after spinal cord transection, cell apoptosis, inflammation, glial scar, and growth of nerve fibers were evaluated by immunostaining. The results showed that LINGO-1 KO mice demonstrated a profound reduction in expression of caspase-3, transferase-mediated deoxyuridine triphosphate biotin nick end labeling (TUNEL), ionized calcium binding adapter molecule 1 (IBA1), glial fibrillary acidic protein (GFAP), and chondroitin sulfate proteoglycans (CSPGs) compared to controls. In contrast, expression of neurofilament (NF) at the SCI site in LINGO-1 KO mice was markedly increased compared to that in wild-type mice. These results suggested that LINGO-1 plays a critical role in the injury microenvironment in processes such as cell death, inflammatory response, and glial scar formation. Importantly, LINGO-1 deletion and a positive microenvironment may exert synergistic effects to promote nerve fiber regeneration. Therefore, inhibition of LINGO-1 may be a therapeutic strategy to promote neural regeneration following SCI. Show less
no PDF DOI: 10.1016/j.expneurol.2019.112965
LINGO1
Lu Ding, Zhe Zhu, Yuhui Wang +9 more · 2019 · Tissue engineering. Part A · added 2026-04-24
Spinal root avulsion typically leads to massive motoneuron death and severe functional deficits of the target muscles. Multiple pathological factors such as severe neuron loss, induction of inhibitory Show more
Spinal root avulsion typically leads to massive motoneuron death and severe functional deficits of the target muscles. Multiple pathological factors such as severe neuron loss, induction of inhibitory molecules, and insufficient regeneration are responsible for the poor functional recovery. Leucine-rich repeat and immunoglobulin-like domain-containing Nogo receptor-interacting protein 1 (LINGO-1), a central nervous system (CNS)-specific transmembrane protein that is selectively expressed on neurons and oligodendrocytes, serves as a potent negative mediator of axonal regeneration and myelination in CNS injuries and diseases. Although accumulating evidence has demonstrated improvement in axonal regeneration and neurological functions by LINGO-1 antagonism in CNS damage, the possible effects of LINGO-1 in spinal root avulsion remain undiscovered. In this study, a LINGO-1 knockdown strategy using lentiviral vectors encoding LINGO-1 short hairpin interfering RNA (shRNA) delivered by the Pluronic F-127 (PF-127) hydrogel was described after brachial plexus avulsion (BPA). We provide evidence that following BPA and immediate reimplantation, transplantation of LINGO-1 shRNA lentiviral vectors encapsulated by PF-127 rescued the injured motoneurons, enhanced axonal outgrowth and myelination, rebuilt motor endplates, facilitated the reinnervation of terminal muscles, improved angiogenesis, and promoted recovery of avulsed forelimbs. Altogether, these data suggest that delivery of LINGO-1 shRNA by a gel scaffold is a potential therapeutic approach for root avulsion. Impact Statement In this study, we attempted transplantation of lentivirus (LV)/leucine-rich repeat and immunoglobulin-like domain-containing Nogo receptor-interacting protein 1 (LINGO-1)-short hairpin interfering RNA (shRNA) encapsulated by the Pluronic F-127 (PF-127) hydrogel into a brachial plexus avulsion (BPA)-reimplantation model. We found that administration of LV/LINGO-1 shRNA facilitates neuron survival and axonal regeneration, attenuates muscle atrophy and motor endplate (MEP) loss, enhances neovascularization, and promotes functional recovery in BPA rats. Co-transplantation of LV/LINGO-1 shRNA and gel reinforces the survival-promoting effect, axonal outgrowth, and angiogenesis in comparison with LV/LINGO-1 shRNA application alone. Our research provides evidence that LV /LINGO-1 shRNA delivered by PF-127 represents a new treatment strategy for BPA repair. Show less
no PDF DOI: 10.1089/ten.TEA.2018.0282
LINGO1
Chao Chen, Chunmei Shi, Xiaochun Huang +13 more · 2019 · Scientific reports · Nature · added 2026-04-24
The goal of this work was to investigate the molecular profiles and metastasis markers in Chinese patients with gastric carcinoma (GC). In total, we performed whole exome sequencing (WES) on 74 GC pat Show more
The goal of this work was to investigate the molecular profiles and metastasis markers in Chinese patients with gastric carcinoma (GC). In total, we performed whole exome sequencing (WES) on 74 GC patients with tumor and adjacent normal formalin-fixed, paraffin-embedded (FFPE) tissue samples. The mutation spectrum of these samples showed a high concordance with TCGA and other studies on GC. PTPRT is significantly associated with metastasis of GC, suggesting its predictive role in metastasis of GC. Patients carrying BRCA2 mutations tend not to metastasize, which may be related to their sensitivity to chemotherapy. Mutations in MACF1, CDC27, HMCN1, CDH1 and PDZD2 were moderately enriched in peritoneal metastasis (PM) samples. Furthermore, we found two genomic regions (1p36.21 and Xq26.3) were associated with PM of GC, and patients with amplification of 1p36.21 and Xq26.3 have a worse prognosis (P = 0.002, 0.01, respectively). Our analysis provides GC patients with potential markers for single and combination therapies. Show less
📄 PDF DOI: 10.1038/s41598-019-50171-7
MACF1
Sarah A King, Han Liu, Xiaoyang Wu · 2019 · Experimental biology and medicine (Maywood, N.J.) · SAGE Publications · added 2026-04-24
The cytoskeleton is an essential element of a eukaryotic cell which informs both form and function and ultimately has physiological consequences for the organism. Equally as important as the major cyt Show more
The cytoskeleton is an essential element of a eukaryotic cell which informs both form and function and ultimately has physiological consequences for the organism. Equally as important as the major cytoskeletal networks are crosslinkers which coordinate and regulate their activities. One such category of crosslinker is the spectraplakins, a family of giant, evolutionarily conserved crosslinking proteins with the rare ability to interact with each of the three major cytoskeletal networks. In particular, a mammalian spectraplakin isotype called MACF1 (microtubule actin crosslinking factor 1), also known as ACF7 (actin crosslinking factor 7), has been of particular interest in the years since its discovery; MACF1 has come under such scrutiny due to the mounting list of biological phenomena in which it has been implicated. This review is an overview of the current knowledge on the structure and function of the known spectraplakin isotypes with an emphasis on MACF1, recent studies on MACF1, and finally, an analysis of the potential of MACF1 to advance medicine. Spectraplakins are a highly conserved group of proteins which have the rare ability to bind to each of the three major cytoskeletal networks. The mammalian spectraplakin MACF1/ACF7 has proven to be instrumental in many cellular processes (e.g. signaling and cell migration) since its identification and, as such, has been the focus of various research studies. This review is a synthesis of scientific reports on the structure, confirmed functions, and implicated roles of MACF1/ACF7 as of 2019. Based on what has been revealed thus far in terms of MACF1/ACF7’s role in complex pathologies such as metastatic cancers and inflammatory bowel disease, it appears that MACF1/ACF7 and the continued study thereof hold great potential to both enhance the design of future therapies for various diseases and vastly expand scientific understanding of organismal physiology as a whole. Show less
no PDF DOI: 10.1177/1535370219864920
MACF1
Yakui Li, Dianqiang Yang, Na Tian +12 more · 2019 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
The glucose-responsive transcription factor carbohydrate response element-binding protein (ChREBP) critically promotes aerobic glycolysis and cell proliferation in colorectal cancer cells. It has been Show more
The glucose-responsive transcription factor carbohydrate response element-binding protein (ChREBP) critically promotes aerobic glycolysis and cell proliferation in colorectal cancer cells. It has been reported that ubiquitination may be important in the regulation of ChREBP protein levels and activities. However, the ChREBP-specific E3 ligase and molecular mechanism of ChREBP ubiquitination remains unclear. Using database exploration and expression analysis, we found here that levels of the E3 ligase SMURF2 (Smad-ubiquitination regulatory factor 2) negatively correlate with those of ChREBP in cancer tissues and cell lines. We observed that SMURF2 interacts with ChREBP and promotes ChREBP ubiquitination and degradation via the proteasome pathway. Interestingly, ectopic SMURF2 expression not only decreased ChREBP levels but also reduced aerobic glycolysis, increased oxygen consumption, and decreased cell proliferation in colorectal cancer cells. Moreover, SMURF2 knockdown increased aerobic glycolysis, decreased oxygen consumption, and enhanced cell proliferation in these cells, mostly because of increased ChREBP accumulation. Furthermore, we identified Ser/Thr kinase AKT as an upstream suppressor of SMURF2 that protects ChREBP from ubiquitin-mediated degradation. Taken together, our results indicate that SMURF2 reduces aerobic glycolysis and cell proliferation by promoting ChREBP ubiquitination and degradation via the proteasome pathway in colorectal cancer cells. We conclude that the SMURF2-ChREBP interaction might represent a potential target for managing colorectal cancer. Show less
no PDF DOI: 10.1074/jbc.RA119.007508
MLXIPL
Haodi Wu, Huaxiao Yang, June-Wha Rhee +10 more · 2019 · European heart journal · Oxford University Press · added 2026-04-24
Diastolic dysfunction (DD) is common among hypertrophic cardiomyopathy (HCM) patients, causing major morbidity and mortality. However, its cellular mechanisms are not fully understood, and presently t Show more
Diastolic dysfunction (DD) is common among hypertrophic cardiomyopathy (HCM) patients, causing major morbidity and mortality. However, its cellular mechanisms are not fully understood, and presently there is no effective treatment. Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) hold great potential for investigating the mechanisms underlying DD in HCM and as a platform for drug discovery. In the present study, beating iPSC-CMs were generated from healthy controls and HCM patients with DD. Micropatterned iPSC-CMs from HCM patients showed impaired diastolic function, as evidenced by prolonged relaxation time, decreased relaxation rate, and shortened diastolic sarcomere length. Ratiometric Ca2+ imaging indicated elevated diastolic [Ca2+]i and abnormal Ca2+ handling in HCM iPSC-CMs, which were exacerbated by β-adrenergic challenge. Combining Ca2+ imaging and traction force microscopy, we observed enhanced myofilament Ca2+ sensitivity (measured as dF/Δ[Ca2+]i) in HCM iPSC-CMs. These results were confirmed with genome-edited isogenic iPSC lines that carry HCM mutations, indicating that cytosolic diastolic Ca2+ overload, slowed [Ca2+]i recycling, and increased myofilament Ca2+ sensitivity, collectively impairing the relaxation of HCM iPSC-CMs. Treatment with partial blockade of Ca2+ or late Na+ current reset diastolic Ca2+ homeostasis, restored diastolic function, and improved long-term survival, suggesting that disturbed Ca2+ signalling is an important cellular pathological mechanism of DD. Further investigation showed increased expression of L-type Ca2+channel (LTCC) and transient receptor potential cation channels (TRPC) in HCM iPSC-CMs compared with control iPSC-CMs, which likely contributed to diastolic [Ca2+]i overload. In summary, this study recapitulated DD in HCM at the single-cell level, and revealed novel cellular mechanisms and potential therapeutic targets of DD using iPSC-CMs. Show less
no PDF DOI: 10.1093/eurheartj/ehz326
MYBPC3
Xu Chen, Jun Jiang, Weiliang Zhu +2 more · 2019 · Medicine · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is mainly caused by mutations in genes encoding sarcomeric proteins. One of the most commonly mutated HCM genes is the MYBPC3 gene. Mutations in this gene lead mainly Show more
Hypertrophic cardiomyopathy (HCM) is mainly caused by mutations in genes encoding sarcomeric proteins. One of the most commonly mutated HCM genes is the MYBPC3 gene. Mutations in this gene lead mainly to truncation of the protein, which gives rise to a relatively severe phenotype. Analyses of gene mutations associated with HCM are valuable for molecular diagnosis, genetic counseling, and management of familial HCM. A 12-year-old boy presented with palpitations and dyspnea after exercise for 1 year. Echocardiography showed myocardial asymmetric hypertrophy of the ventricular septum, the anterior wall, and the lateral wall of the left ventricle. The thickness of the interventricular septum was estimated to be 33 mm. ECG showed left ventricular high voltage and ST-T changes. He had been diagnosed with HCM 3 months previously. Due to his clinical presentation, he was determined to have HCM via a molecular analysis, revealing compound heterozygotes (p.R597W and p.Q1012Sfs*8) in the MYBPC3 gene. The patient was prescribed metoprolol to slow the heart rate and increase diastolic filling time. The boy was treated with metoprolol 6.75 mg b.i.d. Approximately 3 months later, review of the echocardiography showed that the peak velocity across the LVOT dropped to 2.3 m/seconds and that the pressure gradient dropped to 21 mm Hg. A custom next-generation sequencing (NGS) technology for the HCM panel allowed us to identify compound heterozygous mutations in the MYBPC3 gene, confirming NGS as a molecular diagnostic tool. Show less
no PDF DOI: 10.1097/MD.0000000000014676
MYBPC3
Timon Seeger, Rajani Shrestha, Chi Keung Lam +16 more · 2019 · Circulation · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is frequently caused by mutations in myosin-binding protein C3 ( MYBPC3) resulting in a premature termination codon (PTC). The underlying mechanisms of how PTC mutati Show more
Hypertrophic cardiomyopathy (HCM) is frequently caused by mutations in myosin-binding protein C3 ( MYBPC3) resulting in a premature termination codon (PTC). The underlying mechanisms of how PTC mutations in MYBPC3 lead to the onset and progression of HCM are poorly understood. This study's aim was to investigate the molecular mechanisms underlying the pathogenesis of HCM associated with MYBPC3 PTC mutations by utilizing human isogenic induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). Isogenic iPSC lines were generated from HCM patients harboring MYBPC3 PTC mutations (p.R943x; p.R1073P_Fsx4) using genome editing. Comprehensive phenotypic and transcriptome analyses were performed in the iPSC-CMs. We observed aberrant calcium handling properties with prolonged decay kinetics and elevated diastolic calcium levels in the absence of structural abnormalities or contracile dysfunction in HCM iPSC-CMs as compared to isogenic controls. The mRNA expression levels of MYBPC3 were significantly reduced in mutant iPSC-CMs, but the protein levels were comparable among isogenic iPSC-CMs, suggesting that haploinsufficiency of MYBPC3 does not contribute to the pathogenesis of HCM in vitro. Furthermore, truncated MYBPC3 peptides were not detected. At the molecular level, the nonsense-mediated decay pathway was activated, and a set of genes involved in major cardiac signaling pathways was dysregulated in HCM iPSC-CMs, indicating an HCM gene signature in vitro. Specific inhibition of the nonsense-mediated decay pathway in mutant iPSC-CMs resulted in reversal of the molecular phenotype and normalization of calcium-handling abnormalities. iPSC-CMs carrying MYBPC3 PTC mutations displayed aberrant calcium signaling and molecular dysregulations in the absence of significant haploinsufficiency of MYBPC3 protein. Here we provided the first evidence of the direct connection between the chronically activated nonsense-mediated decay pathway and HCM disease development. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.118.034624
MYBPC3
Bin Wu, Xue Xiao, Shasha Li +1 more · 2019 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Total flavones of Epimedium (TFE) is the main active ingredient in Herba Epimedii, which is a well-known Chinese herbal medicine that is widely used to treat certain age-related diseases in oriental c Show more
Total flavones of Epimedium (TFE) is the main active ingredient in Herba Epimedii, which is a well-known Chinese herbal medicine that is widely used to treat certain age-related diseases in oriental countries. The aim of this work was to investigate the anti-aging properties of TFE related to lipid metabolism. Both transcriptomics and metabonomics were applied in this work to investigate the anti-aging properties of TFE. Microarray and LC-MS analysis were conducted on liver samples of three groups of rats, including young (4 months), old (24 months), and old rats administrated TFE. Transcriptomics analysis highlighted 287 transcripts related to the anti-aging effect of TFE, in which the expression ratio of 18 genes regulating lipid metabolism, including HMGCS1 and NR1H3, returned to normal levels after TFE treatment. In addition, 24 aging-related metabolites were discovered in a metabonomics study, and 15 of these were structurally identified, including palmitic amide, linoleamide, and oleamide. Bioinformatics and integral data analysis on the results of the transcriptomics and metabonomics suggest the involvement of 12 key metabolic pathways, half of which are highly related to lipid metabolism. This study demonstrates that the role played by TFE in the lipid metabolism of aging rats is multifaceted and multi-layered. Show less
no PDF DOI: 10.1016/j.jep.2018.09.039
NR1H3
Shipeng Gong, Yongning Chen, Fanliang Meng +4 more · 2019 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Currently, cisplatin (DDP) is the first-line chemotherapeutic agent used for treatment of ovarian cancer, but gradually acquired drug resistance minimizes its therapeutic outcomes. We aimed to identif Show more
Currently, cisplatin (DDP) is the first-line chemotherapeutic agent used for treatment of ovarian cancer, but gradually acquired drug resistance minimizes its therapeutic outcomes. We aimed to identify crucial genes associated with DDP resistance in ovarian cancer and uncover potential mechanisms. Two sets of gene expression data were downloaded from Gene Expression Omnibus, and bioinformatics analysis was conducted. In our study, the differentially expressed genes between DDP-sensitive and DDP-resistant ovarian cancer were screened in GSE15709 and GSE51373 database, and chromosome condensation 2 regulator (RCC2) and nucleoporin 160 were identified as 2 genes that significantly up-regulated in DDP-resistant ovarian cancer cell lines compared with DDP-sensitive cell lines. Moreover, RCC2, Ral small GTPase (RalA), and Ral binding protein-1 (RalBP1) expression was found to be significantly higher in DDP-resistant ovarian cancer tissues than in DDP-sensitive tissues. RCC2 plays a positive role in cell proliferation, apoptosis, and migration in DDP-resistant ovarian cancer cell lines in vitro and in vivo. Furthermore, RCC2 could interact with RalA, thus promoting its downstream effector RalBP1. RalA knockdown could reverse the effects of RCC2 overexpression on DDP-resistant ovarian cancer cell proliferation, apoptosis, and migration. Similarly, RalA overexpression could alleviate the effects of RCC2 knockdown in DDP-resistant ovarian cancer cells. Taken together, RCC2 may function as an oncogene, regulating the RalA signaling pathway, and intervention of RCC2 expression might be a promising therapeutic strategy for DDP-resistant ovarian cancer.-Gong, S., Chen, Y., Meng, F., Zhang, Y., Wu, H., Li, C., Zhang, G. RCC2, a regulator of the RalA signaling pathway, is identified as a novel therapeutic target in cisplatin-resistant ovarian cancer. Show less
no PDF DOI: 10.1096/fj.201801529RR
NUP160
Ping Li, Yong-Hong Wu, Yan-Ting Zhu +2 more · 2019 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Lipopolysaccharide (LPS) induces macrophage/monocyte activation and pro-inflammatory cytokines production by activating Toll-like receptor 4 (TLR-4) signaling. Rab GTPase 21 (Rab21) is a member of the Show more
Lipopolysaccharide (LPS) induces macrophage/monocyte activation and pro-inflammatory cytokines production by activating Toll-like receptor 4 (TLR-4) signaling. Rab GTPase 21 (Rab21) is a member of the Rab GTPase subfamily. In the present study, we show that LPS induced TLR4 and Rab21 association and endosomal translocation in murine bone marrow-derived macrophages (BMDMs) and primary human peripheral blood mononuclear cells (PBMCs). In BMDMs, shRNA-mediated stable knockdown of Rab21 inhibited LPS-induced expression and production of pro-inflammatory cytokines (IL-1β, IL-6 and TNF-α). Conversely, forced overexpression of Rab21 by an adenovirus construct potentiated LPS-induced IL-1β, IL-6 and TNF-α production in BMDMs. Further studies show that LPS-induced TLR4 endosomal traffic and downstream c-Jun and NFκB (nuclear factor-kappa B) activation were significantly inhibited by Rab21 shRNA, but intensified with Rab21 overexpression in BMDMs. Finally, in the primary human PBMCs, siRNA-induced knockdown of Rab21 significantly inhibited LPS-induced IL-1β, IL-6 and TNF-α production. Taken together, we suggest that Rab21 regulates LPS-induced pro-inflammatory responses by promoting TLR4 endosomal traffic and downstream signaling activation. Show less
no PDF DOI: 10.1016/j.bbrc.2018.11.074
RAB21
Valérie Turcot, Yingchang Lu, Heather M Highland +408 more · 2018 · Nature genetics · Nature · added 2026-04-24
Valérie Turcot, Yingchang Lu, Heather M Highland, Claudia Schurmann, Anne E Justice, Rebecca S Fine, Jonathan P Bradfield, Tõnu Esko, Ayush Giri, Mariaelisa Graff, Xiuqing Guo, Audrey E Hendricks, Tugce Karaderi, Adelheid Lempradl, Adam E Locke, Anubha Mahajan, Eirini Marouli, Suthesh Sivapalaratnam, Kristin L Young, Tamuno Alfred, Mary F Feitosa, Nicholas G D Masca, Alisa K Manning, Carolina Medina-Gomez, Poorva Mudgal, Maggie C Y Ng, Alex P Reiner, Sailaja Vedantam, Sara M Willems, Thomas W Winkler, Gonçalo Abecasis, Katja K Aben, Dewan S Alam, Sameer E Alharthi, Matthew Allison, Philippe Amouyel, Folkert W Asselbergs, Paul L Auer, Beverley Balkau, Lia E Bang, Inês Barroso, Lisa Bastarache, Marianne Benn, Sven Bergmann, Lawrence F Bielak, Matthias Blüher, Michael Boehnke, Heiner Boeing, Eric Boerwinkle, Carsten A Böger, Jette Bork-Jensen, Michiel L Bots, Erwin P Bottinger, Donald W Bowden, Ivan Brandslund, Gerome Breen, Murray H Brilliant, Linda Broer, Marco Brumat, Amber A Burt, Adam S Butterworth, Peter T Campbell, Stefania Cappellani, David J Carey, Eulalia Catamo, Mark J Caulfield, John C Chambers, Daniel I Chasman, Yii-Der I Chen, Rajiv Chowdhury, Cramer Christensen, Audrey Y Chu, Massimiliano Cocca, Francis S Collins, James P Cook, Janie Corley, Jordi Corominas Galbany, Amanda J Cox, David S Crosslin, Gabriel Cuellar-Partida, Angela D'Eustacchio, John Danesh, Gail Davies, Paul I W Bakker, Mark C H Groot, Renée Mutsert, Ian J Deary, George Dedoussis, Ellen W Demerath, Martin Heijer, Anneke I Hollander, Hester M Ruijter, Joe G Dennis, Josh C Denny, Emanuele Di Angelantonio, Fotios Drenos, Mengmeng Du, Marie-Pierre Dubé, Alison M Dunning, Douglas F Easton, Todd L Edwards, David Ellinghaus, Patrick T Ellinor, Paul Elliott, Evangelos Evangelou, Aliki-Eleni Farmaki, I Sadaf Farooqi, Jessica D Faul, Sascha Fauser, Shuang Feng, Ele Ferrannini, Jean Ferrieres, Jose C Florez, Ian Ford, Myriam Fornage, Oscar H Franco, Andre Franke, Paul W Franks, Nele Friedrich, Ruth Frikke-Schmidt, Tessel E Galesloot, Wei Gan, Ilaria Gandin, Paolo Gasparini, Jane Gibson, Vilmantas Giedraitis, Anette P Gjesing, Penny Gordon-Larsen, Mathias Gorski, Hans-Jörgen Grabe, Struan F A Grant, Niels Grarup, Helen L Griffiths, Megan L Grove, Vilmundur Gudnason, Stefan Gustafsson, Jeff Haessler, Hakon Hakonarson, Anke R Hammerschlag, Torben Hansen, Kathleen Mullan Harris, Tamara B Harris, Andrew T Hattersley, Christian T Have, Caroline Hayward, Liang He, Nancy L Heard-Costa, Andrew C Heath, Iris M Heid, Øyvind Helgeland, Jussi Hernesniemi, Alex W Hewitt, Oddgeir L Holmen, G Kees Hovingh, Joanna M M Howson, Yao Hu, Paul L Huang, Jennifer E Huffman, M Arfan Ikram, Erik Ingelsson, Anne U Jackson, Jan-Håkan Jansson, Gail P Jarvik, Gorm B Jensen, Yucheng Jia, Stefan Johansson, Marit E Jørgensen, Torben Jørgensen, J Wouter Jukema, Bratati Kahali, René S Kahn, Mika Kähönen, Pia R Kamstrup, Stavroula Kanoni, Jaakko Kaprio, Maria Karaleftheri, Sharon L R Kardia, Fredrik Karpe, Sekar Kathiresan, Frank Kee, Lambertus A Kiemeney, Eric Kim, Hidetoshi Kitajima, Pirjo Komulainen, Jaspal S Kooner, Charles Kooperberg, Tellervo Korhonen, Peter Kovacs, Helena Kuivaniemi, Zoltán Kutalik, Kari Kuulasmaa, Johanna Kuusisto, Markku Laakso, Timo A Lakka, David Lamparter, Ethan M Lange, Leslie A Lange, Claudia Langenberg, Eric B Larson, Nanette R Lee, Terho Lehtimäki, Cora E Lewis, Huaixing Li, Jin Li, Ruifang Li-Gao, Honghuang Lin, Keng-Hung Lin, Li-An Lin, Xu Lin, Lars Lind, Jaana Lindström, Allan Linneberg, Ching-Ti Liu, Dajiang J Liu, Yongmei Liu, Ken S Lo, Artitaya Lophatananon, Andrew J Lotery, Anu Loukola, Jian'an Luan, Steven A Lubitz, Leo-Pekka Lyytikäinen, Satu Männistö, Gaëlle Marenne, Angela L Mazul, Mark I McCarthy, Roberta McKean-Cowdin, Sarah E Medland, Karina Meidtner, Lili Milani, Vanisha Mistry, Paul Mitchell, Karen L Mohlke, Leena Moilanen, Marie Moitry, Grant W Montgomery, Dennis O Mook-Kanamori, Carmel Moore, Trevor A Mori, Andrew D Morris, Andrew P Morris, Martina Müller-Nurasyid, Patricia B Munroe, Mike A Nalls, Narisu Narisu, Christopher P Nelson, Matt Neville, Sune F Nielsen, Kjell Nikus, Pål R Njølstad, Børge G Nordestgaard, Dale R Nyholt, Jeffrey R O'Connel, Michelle L O'Donoghue, Loes M Olde Loohuis, Roel A Ophoff, Katharine R Owen, Chris J Packard, Sandosh Padmanabhan, Colin N A Palmer, Nicholette D Palmer, Gerard Pasterkamp, Aniruddh P Patel, Alison Pattie, Oluf Pedersen, Peggy L Peissig, Gina M Peloso, Craig E Pennell, Markus Perola, James A Perry, John R B Perry, Tune H Pers, Thomas N Person, Annette Peters, Eva R B Petersen, Patricia A Peyser, Ailith Pirie, Ozren Polasek, Tinca J Polderman, Hannu Puolijoki, Olli T Raitakari, Asif Rasheed, Rainer Rauramaa, Dermot F Reilly, Frida Renström, Myriam Rheinberger, Paul M Ridker, John D Rioux, Manuel A Rivas, David J Roberts, Neil R Robertson, Antonietta Robino, Olov Rolandsson, Igor Rudan, Katherine S Ruth, Danish Saleheen, Veikko Salomaa, Nilesh J Samani, Yadav Sapkota, Naveed Sattar, Robert E Schoen, Pamela J Schreiner, Matthias B Schulze, Robert A Scott, Marcelo P Segura-Lepe, Svati H Shah, Wayne H-H Sheu, Xueling Sim, Andrew J Slater, Kerrin S Small, Albert V Smith, Lorraine Southam, Timothy D Spector, Elizabeth K Speliotes, John M Starr, Kari Stefansson, Valgerdur Steinthorsdottir, Kathleen E Stirrups, Konstantin Strauch, Heather M Stringham, Michael Stumvoll, Liang Sun, Praveen Surendran, Amy J Swift, Hayato Tada, Katherine E Tansey, Jean-Claude Tardif, Kent D Taylor, Alexander Teumer, Deborah J Thompson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Betina H Thuesen, Anke Tönjes, Gerard Tromp, Stella Trompet, Emmanouil Tsafantakis, Jaakko Tuomilehto, Anne Tybjaerg-Hansen, Jonathan P Tyrer, Rudolf Uher, André G Uitterlinden, Matti Uusitupa, Sander W Laan, Cornelia M Duijn, Nienke Leeuwen, Jessica van Setten, Mauno Vanhala, Anette Varbo, Tibor V Varga, Rohit Varma, Digna R Velez Edwards, Sita H Vermeulen, Giovanni Veronesi, Henrik Vestergaard, Veronique Vitart, Thomas F Vogt, Uwe Völker, Dragana Vuckovic, Lynne E Wagenknecht, Mark Walker, Lars Wallentin, Feijie Wang, Carol A Wang, Shuai Wang, Yiqin Wang, Erin B Ware, Nicholas J Wareham, Helen R Warren, Dawn M Waterworth, Jennifer Wessel, Harvey D White, Cristen J Willer, James G Wilson, Daniel R Witte, Andrew R Wood, Ying Wu, Hanieh Yaghootkar, Jie Yao, Pang Yao, Laura M Yerges-Armstrong, Robin Young, Eleftheria Zeggini, Xiaowei Zhan, Weihua Zhang, Jing Hua Zhao, Wei Zhao, Wei Zhou, Krina T Zondervan, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Jerome I Rotter, John A Pospisilik, Fernando Rivadeneira, Ingrid B Borecki, Panos Deloukas, Timothy M Frayling, Guillaume Lettre, Kari E North, Cecilia M Lindgren, Joel N Hirschhorn, Ruth J F Loos Show less
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding var Show more
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity. Show less
📄 PDF DOI: 10.1038/s41588-017-0011-x
GIPR
Yong Han, Guobin Xia, Qi Wu · 2018 · Advances in experimental medicine and biology · Springer · added 2026-04-24
Neurons expressing agouti-related protein (AgRP), the so-called hunger neurons, protect mammals from starvation by promoting food-seeking behaviors (Trends Neurosci 36:504-512, 2013). Now an increasin Show more
Neurons expressing agouti-related protein (AgRP), the so-called hunger neurons, protect mammals from starvation by promoting food-seeking behaviors (Trends Neurosci 36:504-512, 2013). Now an increasing amount of evidence show that these hunger-sensing neurons not only motivate animals to forage and ingest food but also help conserve energy by inhibiting innate processes that demand large amounts of energy such as growth, reproduction, and stress response. It has further been perceived that AgRP neurons transmit signals with negative valence to reward and cognitive centers so as to engage the motivational behavior toward seeking and obtaining foods (Physiol Behav 190:34-42, 2017). Recent advancement in genome editing and neurotechniques unleashed an escalated research of uniquely defined neuronal populations and neural circuits underlying the behavioral regulation of body weight and food responses (Nat Biotechnol 32:347-355, 2014; Proc Natl Acad Sci 113, 2016). In this chapter we will review literatures describing the functional organization of the AgRP circuit and its correlative signaling components that influence ingestive, foraging, motivational, and cognitive responses, a framework that reshaped our thinking toward the new hope and challenges in treatment of obesity and eating disorders. Show less
📄 PDF DOI: 10.1007/978-981-13-1286-1_1
MC4R
Pengjiao Xi, Jianying Du, Huimin Liang +9 more · 2018 · Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · added 2026-04-24
Obesity is increasingly becoming a major public health problem worldwide. Peripheral LKB1 inhibits white fat generation, but the effect of central LKB1 on diet-induced obesity (DIO) is unknown. Theref Show more
Obesity is increasingly becoming a major public health problem worldwide. Peripheral LKB1 inhibits white fat generation, but the effect of central LKB1 on diet-induced obesity (DIO) is unknown. Therefore, we examined whether LKB1 over-expression in the hypothalamus can inhibit the development of obesity. Adult male Sprague-Dawley rats were anesthetized and placed in a stereotaxic apparatus. LKB1-AAV-EGFP (2.0 × 108 or 2.0 × 1010 vector genomes) or Control-AAV-EGFP (2.0 × 108 vector genomes) was injected into the third ventricle. After administration, the rats were fed a high-fat diet (HFD) for 9 weeks to induce obesity. Rats fed a chow fat diet were used as normal controls. LKB1 delivery decreased body weight, energy intake, fat mass, and serum lipid levels. LKB1 also improved HFD-induced hepatic fatty degeneration. Interestingly, LKB1 over-expression in the hypothalamus activated the AMPK-POMC neurons-sympathetic nervous system (SNS) axis, which can release epinephrine to promote white fat browning. Conversely, the elevated expression of MC3R/MC4R inhibited food intake. These two factors worked together to inhibit the development of obesity. LKB1 in the hypothalamus may have therapeutic potential for DIO through the activation of the AMPK-POMC neurons-SNS axis. Show less
no PDF DOI: 10.1159/000489746
MC4R
Wei Li, Renqiao Tang, Feifei Ma +3 more · 2018 · The Journal of nutritional biochemistry · Elsevier · added 2026-04-24
Folic acid (FA) supplementation may protect from obesity and insulin resistance, the effects and mechanism of FA on chronic high-fat-diet-induced obesity-related metabolic disorders are not well eluci Show more
Folic acid (FA) supplementation may protect from obesity and insulin resistance, the effects and mechanism of FA on chronic high-fat-diet-induced obesity-related metabolic disorders are not well elucidated. We adopted a genome-wide approach to directly examine whether FA supplementation affects the DNA methylation profile of mouse adipose tissue and identify the functional consequences of these changes. Mice were fed a high-fat diet (HFD), normal diet (ND) or an HFD supplemented with folic acid (20 μg/ml in drinking water) for 10 weeks, epididymal fat was harvested, and genome-wide DNA methylation analyses were performed using methylated DNA immunoprecipitation sequencing (MeDIP-seq). Mice exposed to the HFD expanded their adipose mass, which was accompanied by a significant increase in circulating glucose and insulin levels. FA supplementation reduced the fat mass and serum glucose levels and improved insulin resistance in HFD-fed mice. MeDIP-seq revealed distribution of differentially methylated regions (DMRs) throughout the adipocyte genome, with more hypermethylated regions in HFD mice. Methylome profiling identified DMRs associated with 3787 annotated genes from HFD mice in response to FA supplementation. Pathway analyses showed novel DNA methylation changes in adipose genes associated with insulin secretion, pancreatic secretion and type 2 diabetes. The differential DNA methylation corresponded to changes in the adipose tissue gene expression of Adcy3 and Rapgef4 in mice exposed to a diet containing FA. FA supplementation improved insulin resistance, decreased the fat mass, and induced DNA methylation and gene expression changes in genes associated with obesity and insulin secretion in obese mice fed a HFD. Show less
no PDF DOI: 10.1016/j.jnutbio.2018.05.010
ADCY3
Madalene Earp, Jonathan P Tyrer, Stacey J Winham +146 more · 2018 · PloS one · PLOS · added 2026-04-24
Madalene Earp, Jonathan P Tyrer, Stacey J Winham, Hui-Yi Lin, Ganna Chornokur, Joe Dennis, Katja K H Aben, Hoda Anton-Culver, Natalia Antonenkova, Elisa V Bandera, Yukie T Bean, Matthias W Beckmann, Line Bjorge, Natalia Bogdanova, Louise A Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Clareann H Bunker, Ralf Butzow, Ian G Campbell, Karen Carty, Jenny Chang-Claude, Linda S Cook, Daniel W Cramer, Julie M Cunningham, Cezary Cybulski, Agnieszka Dansonka-Mieszkowska, Evelyn Despierre, Jennifer A Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Douglas F Easton, Diana M Eccles, Robert P Edwards, Arif B Ekici, Peter A Fasching, Brooke L Fridley, Aleksandra Gentry-Maharaj, Graham G Giles, Rosalind Glasspool, Marc T Goodman, Jacek Gronwald, Philipp Harter, Alexander Hein, Florian Heitz, Michelle A T Hildebrandt, Peter Hillemanns, Claus K Hogdall, Estrid Høgdall, Satoyo Hosono, Edwin S Iversen, Anna Jakubowska, Allan Jensen, Bu-Tian Ji, Audrey Y Jung, Beth Y Karlan, Melissa Kellar, Lambertus A Kiemeney, Boon Kiong Lim, Susanne K Kjaer, Camilla Krakstad, Jolanta Kupryjanczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D Le, Shashi Lele, Jenny Lester, Douglas A Levine, Zheng Li, Dong Liang, Jolanta Lissowska, Karen Lu, Jan Lubinski, Lene Lundvall, Leon F A G Massuger, Keitaro Matsuo, Valerie McGuire, John R McLaughlin, Iain McNeish, Usha Menon, Roger L Milne, Francesmary Modugno, Kirsten B Moysich, Roberta B Ness, Heli Nevanlinna, Kunle Odunsi, Sara H Olson, Irene Orlow, Sandra Orsulic, James Paul, Tanja Pejovic, Liisa M Pelttari, Jenny B Permuth, Malcolm C Pike, Elizabeth M Poole, Barry Rosen, Mary Anne Rossing, Joseph H Rothstein, Ingo B Runnebaum, Iwona K Rzepecka, Eva Schernhammer, Ira Schwaab, Xiao-Ou Shu, Yurii B Shvetsov, Nadeem Siddiqui, Weiva Sieh, Honglin Song, Melissa C Southey, Beata Spiewankiewicz, Lara Sucheston-Campbell, Ingvild L Tangen, Soo-Hwang Teo, Kathryn L Terry, Pamela J Thompson, Lotte Thomsen, Shelley S Tworoger, Anne M van Altena, Ignace Vergote, Liv Cecilie Vestrheim Thomsen, Robert A Vierkant, Christine S Walsh, Shan Wang-Gohrke, Nicolas Wentzensen, Alice S Whittemore, Kristine G Wicklund, Lynne R Wilkens, Yin-Ling Woo, Anna H Wu, Xifeng Wu, Yong-Bing Xiang, Hannah Yang, Wei Zheng, Argyrios Ziogas, Alice W Lee, Celeste L Pearce, Andrew Berchuck, Joellen M Schildkraut, Susan J Ramus, Alvaro N A Monteiro, Steven A Narod, Thomas A Sellers, Simon A Gayther, Linda E Kelemen, Georgia Chenevix-Trench, Harvey A Risch, Paul D P Pharoah, Ellen L Goode, Catherine M Phelan Show less
Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamil Show more
Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations. Show less
📄 PDF DOI: 10.1371/journal.pone.0197561
AKAP6
Huifang Yang, Nanrui Hong, Hsiaowei Liu +3 more · 2018 · Journal of cellular physiology · Wiley · added 2026-04-24
Craniofacial defects can cause morbidness. Adipose-derived stem cells (ADSCs) have shown great promise for osteogeneration and vascularization; therefore cocultures of differentiated ADSCs are explore Show more
Craniofacial defects can cause morbidness. Adipose-derived stem cells (ADSCs) have shown great promise for osteogeneration and vascularization; therefore cocultures of differentiated ADSCs are explored to increase bone and vessel formation. In this study, ADSCs were induced into osteogenic ADSCs (os-ADSCs) and endothelial ADSCs (endo-ADSCs) cells, which were then cocultured in variable proportions (os-ADSCs/endo-ADSCs = 2:1, 1:1, 1:2). The os-ADSCs in a ratio of 1:1 expressed more ALP, RUNX2 and COL-I, whereas VEGF, vWF and CD31 were upregulated in the endo-ADSCs of this group. Next generation RNA sequencing (RNA-seq) was performed to evaluate the molecular mechanisms of cocultured ADSCs. The os-ADSCs and endo-ADSCs interacted with each other during osteogenic and angiogenic differentiation, especially at the ratio of 1:1, and were regulated by vascular-related genes, cell-mediated genes, bone-related genes and the transforming growth factor β signaling pathway (TGF-β), mitogen-activated protein kinase signaling pathway (MAPK) and wnt signaling pathway (Wnt). Angptl4, apoe, mmp3, bmp6, mmp13 and fgf18 were detected to be up-regulated, and cxcl12 and wnt5a were down-regulated. The results showed that the gene expression levels were consistent with that in RNA-seq. The cells were then seeded into self-assembling peptide RADA16-I scaffolds as cocultures (1:1) and monocultures (ADSCs, os-ADSCs, endo-ADSCs). The results showed that the cells of all groups grew and proliferated well on the scaffolds, and the cocultured group exhibited better osteogeneration and vascularization. In conclusion, cocultured os-ADSCs and endo-ADSCs at the ratio of 1:1 showed strong osteogenic and angiogenic differentiation. There is a great potential for osteogenesis and vascularization by 3D culturing cells in a 1:1 ratio in self-assembling peptide RADA16-I scaffolds, which requires evaluation for bone regeneration in vivo. Show less
no PDF DOI: 10.1002/jcp.26838
ANGPTL4
Fei Luo, Chenyang Chen, Shenglan Chen +2 more · 2018 · International journal of cardiology · Elsevier · added 2026-04-24
no PDF DOI: 10.1016/j.ijcard.2017.10.054
ANGPTL4
Linda Saxe Einbond, Fabiana Manservisi, Hsan-Au Wu +7 more · 2018 · Pharmacological research · Elsevier · added 2026-04-24
The spice turmeric (Curcuma longa L.) has a long history of use as an anti-inflammatory agent. The active component curcumin induces a variety of diverse biological effects and forms a series of degra Show more
The spice turmeric (Curcuma longa L.) has a long history of use as an anti-inflammatory agent. The active component curcumin induces a variety of diverse biological effects and forms a series of degradation and metabolic products in vivo. Our hypothesis is that the field of toxicogenomics provides tools that can be used to characterize the mode of action and toxicity of turmeric components and to predict turmeric-drug interactions. Male Sprague-Dawley rats were treated for 4 days with turmeric root containing about 3% curcumin (comparable to what people consume in the fresh or dried root) or a fraction of turmeric enriched for curcumin (∼74%) and liver tissue collected for gene expression analysis. Two doses of each agent were added to the diet, corresponding to 540 and 2700 mg/kg body weight/day of turmeric. The transcriptomic effects of turmeric on rat liver tissue were examined using 3 programs, ToxFx Analysis Suite, in the context of a large drug database, Ingenuity Pathway and NextBio analyses. ToxFx analysis indicates that turmeric containing about 3% or 74% curcumin represses the expression of cholesterol biosynthetic genes. The dose of 400 mg/kg b.w./day curcumin induced the Drug Signature associated with hepatic inflammatory infiltrate. Ingenuity analysis confirmed that all 4 turmeric treatments had a significant effect on cholesterol biosynthesis, specifically the Cholesterol biosynthesis superpathway and Cholesterol biosynthesis 1 and 2. Among the top 10 up or downregulated genes, all 4 treatments downregulated PDK4; while 3 treatments downregulated ANGPTL4 or FASN. These findings suggest curcumin may enhance the anticancer effects of certain classes of statins, which we confirmed with biological assays. Given this enhancement, lower levels of statins may be required, and even be desirable. Our findings also warn of possible safety issues, such as potential inflammatory liver effects, for patients who ingest a combination of certain classes of statins and curcumin. Transcriptomic analysis suggests that turmeric is worthwhile to study to prevent and treat cancer and lipid disorders. Our approach lays new groundwork for studies of the mode of action and safety of herbal medicines and can also be used to develop a methodology to standardize herbal medicines. Show less
no PDF DOI: 10.1016/j.phrs.2018.01.023
ANGPTL4
Yetao Xu, Yifan Lian, Yuanyuan Zhang +6 more · 2018 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Despite progress in diagnostics and treatment for preeclampsia, it remains the foremost cause of maternal and foetal perinatal morbidity and mortality worldwide. Over recent years, various lines of ev Show more
Despite progress in diagnostics and treatment for preeclampsia, it remains the foremost cause of maternal and foetal perinatal morbidity and mortality worldwide. Over recent years, various lines of evidence have emphasized long non-coding RNAs (lncRNAs) which function as an innovative regulator of biological behaviour, as exemplified by proliferation, apoptosis and metastasis. However, the role of lncRNAs has not been well described in preeclampsia. Here, we identified a lncRNA, PVT1, whose expression was down-regulated in qRT-PCR analyses in severe preeclampsia. The effects of PVT1 on development were studied after suppression and overexpression of PVT1 in HTR-8/SVneo and JEG3 cells. PVT1 knockdown notably inhibited cell proliferation and stimulated cell cycle accumulation and apoptosis. Exogenous PVT1 significantly increased cell proliferation. Based on analysis of RNAseq data, we found that PVT1 could affect the expression of numerous genes, and then investigated the function and regulatory mechanism of PVT1 in trophoblast cells. Further mechanistic analyses implied that the action of PVT1 is moderately attributable to its repression of ANGPTL4 via association with the epigenetic repressor Ezh2. Altogether, our study suggests that PVT1 could play an essential role in preeclampsia progression and probably acts as a latent therapeutic marker; thus, it might be a useful prognostic marker when evaluating new therapies for patients with preeclampsia. Show less
📄 PDF DOI: 10.1111/jcmm.13405
ANGPTL4
H-Y Hsieh, Y-C Jou, C-L Tung +11 more · 2018 · Oncogene · Nature · added 2026-04-24
Urothelial carcinoma (UC) carcinogenesis has been hypothesized to occur through epigenetic repression of tumor-suppressor genes (TSGs). By quantitative real-time polymerase chain reaction array, we fo Show more
Urothelial carcinoma (UC) carcinogenesis has been hypothesized to occur through epigenetic repression of tumor-suppressor genes (TSGs). By quantitative real-time polymerase chain reaction array, we found that one potential TSG, angiopoietin-like 4 (ANGPTL4), was expressed at very low levels in all bladder cancer cell lines we examined. Previous studies had demonstrated that ANGPTL4 is highly expressed in some cancers, but downregulated, by DNA methylation, in others. Consequently, owing to these seemingly conflicting functions in distinct cancers, the precise role of ANGPTL4 in the etiology of UC remains unclear. In this study, using methylation-specific PCR and bisulfite pyrosequencing, we show that ANGPTL4 is transcriptionally repressed by DNA methylation in UC cell lines and primary tumor samples, as compared with adjacent noncancerous bladder epithelium. Functional studies further demonstrated that ectopic expression of ANGPTL4 potently suppressed UC cell proliferation, monolayer colony formation in vitro, and invasion, migration, and xenograft formation in vivo. Surprisingly, circulating ANGPTL4 was significantly higher in plasma samples from UC patients than normal control, suggesting it might be secreted from other cell types. Interestingly, our data also indicated that exogenous cANGPTL4 could promote cell proliferation and cell migration via activation of signaling through the Erk/focal adhesion kinase axis. We further confirmed that mouse xenograft tumor growth could be promoted by administration of exogenous cANGPTL4. Finally, immunohistochemistry demonstrated that ANGPTL4 was downregulated in tumor cells but overexpressed in tumor adjacent stromal tissues of muscle-invasive UC tissue samples. In conclusion, our data support dual roles for ANGPTL4 in UC progression, either as a tumor suppressor or oncogene, in response to microenvironmental context. Show less
no PDF DOI: 10.1038/onc.2017.375
ANGPTL4
Chih-Yuan Fang, Mien-Cheng Chen, Tzu-Hao Chang +10 more · 2018 · International journal of molecular sciences · MDPI · added 2026-04-24
Lipid expression is increased in the atrial myocytes of mitral regurgitation (MR) patients. This study aimed to investigate key regulatory genes and mechanisms of atrial lipotoxic myopathy in MR. The Show more
Lipid expression is increased in the atrial myocytes of mitral regurgitation (MR) patients. This study aimed to investigate key regulatory genes and mechanisms of atrial lipotoxic myopathy in MR. The HL-1 atrial myocytes were subjected to uniaxial cyclic stretching for eight hours. Fatty acid metabolism, lipoprotein signaling, and cholesterol metabolism were analyzed by PCR assay (168 genes). The stretched myocytes had significantly larger cell size and higher lipid expression than non-stretched myocytes (all The Show less
📄 PDF DOI: 10.3390/ijms19124094
APOA4
Leilei Wu, Qianlan Yao, Ping Lin +2 more · 2018 · PloS one · PLOS · added 2026-04-24
Mouse and rabbit are frequently employed species for atherosclerosis research. With respect to modeling human atherosclerosis, it has been observed that variations in phenotype under commonly used ath Show more
Mouse and rabbit are frequently employed species for atherosclerosis research. With respect to modeling human atherosclerosis, it has been observed that variations in phenotype under commonly used atherogenic conditions are partial or no congruence between two species. However, genome-wide molecular variations are still lacking. To understand the differences between rabbit and mouse in developing atherosclerosis, here from aspect of orthologs, we compared the genome-wide expression profiles of two species under the same atherosclerosis driven factors: high-fat diet or LDLR deficiency. Our results illuminated that: 1) LDLR-deficiency induced different gene expression changes in rabbit and mouse. WHHL rabbit had more significantly differential expressed genes and the most of genes were down-regulated. 2) Some genes and functions were commonly dysregulated in high-fat fed rabbit and mouse models, such as lipid metabolism and inflammation process. However, high-fat intake in rabbit produced more differentially expressed genes and more serious functional effects. 3) Specific differential expression genes were revealed for rabbit and mouse related with high-fat intake. In the aspect of lipoprotein metabolism, APOA4 and APOB was the major responding gene in rabbit and mice, respectively. The expression change of APOA4 and APOB in human atherosclerosis was more similar to rabbit, and therefore rabbit might be a better animal model for investigating human lipoprotein metabolism related diseases. In conclusion, our comparative transcriptome analysis revealed species-specific expression regulation that could partially explain the different phenotypes between rabbit and mouse, which was helpful for model selection to study atherosclerosis. Show less
📄 PDF DOI: 10.1371/journal.pone.0201618
APOA4
Quanxi Wang, Mengxi Liu, Lihui Xu +2 more · 2018 · Avian pathology : journal of the W.V.P.A · Taylor & Francis · added 2026-04-24
The aim of this work was to clarify the molecular mechanism underlying the fatty degeneration of livers infected with Muscovy duck reovirus (MDRV), which produces obvious white necrotic foci in the li Show more
The aim of this work was to clarify the molecular mechanism underlying the fatty degeneration of livers infected with Muscovy duck reovirus (MDRV), which produces obvious white necrotic foci in the liver. Transcriptome data for MDRV-infected Muscovy duck livers and control livers were sequenced, assembled, and annotated with Illumina ABC: ATP binding cassette transport; ACADVL: acyl-CoA dehydrogenase, very long chain; ACAT: mitochondrial-like acetyl-CoA acetyltransferase A; ACAT2: acetyl-CoA acyltransferase 2; ACNAT2: acyl-coenzyme A amino acid N-acyltransferase 2-like; ACOT1: acyl-CoA thioesterase 1; ACOT7: acyl-CoA thioesterase 7; ACOX1: acyl-CoA oxidase 1, palmitoyl; ACSBG2: acyl-CoA synthetase bubblegum family member 2; ACSL1: acyl-CoA synthetase long-chain family member 1; ADH1: alcohol dehydrogenase 1; APOA4: apolipoprotein A-IV; ARV: avian reovirus; cDNA: complementary deoxyribonucleic acid; COG: Clusters of Orthologous Groups; DEG: differentially expressed gene; DGAT: diacylgycerol acyltransferase; DNA: deoxyribonucleic acid; ECI2: enoyl-CoA delta isomerase 2; EHHADH: enoyl-CoA hydratase/3-hydroxyacyl-CoA dehydrogenase; FDR: false discovery rate; GCDH: Pseudopodoces humilis glutaryl-CoA dehydrogenase; GO: Gene Ontology; HADHA: hydroxyacyl-CoA dehydrogenase/3-ketoacyl-CoA thiolase/enoyl-CoA hydratase (trifunctional protein), alpha subunit; I-FABP: intestinal fatty acid binding protein; KEGG: Kyoto Encyclopedia of Genes and Genomes; L-FABP: liver fatty acid binding protein; MDRV: Muscovy duck reovirus; MOI: multiplicity of infection; NPC1L1: Niemann-Pick C1-like 1; qPCR: real-time quantitative polymerase chain reaction; RNA: ribonucleic acid; RNase: ribonuclease; RNA-seq: RNA sequencing technology; RPKM: reads per kilobase per million mapped reads; SR-B1: scavenger receptor class b type 1. Show less
no PDF DOI: 10.1080/03079457.2017.1380294
APOA4
Jing-Lu Jin, Di Sun, Ye-Xuan Cao +9 more · 2018 · EBioMedicine · Elsevier · added 2026-04-24
Severe hypertriglyceridemia (SHTG, TG ≥5·65 mmol/L), a disease, usually resulting from a combination of genetic and environmental factors, may increase the risk of acute pancreatitis (AP). However, pr Show more
Severe hypertriglyceridemia (SHTG, TG ≥5·65 mmol/L), a disease, usually resulting from a combination of genetic and environmental factors, may increase the risk of acute pancreatitis (AP). However, previous genetic analysis has been limited by lacking of related observation of gene to AP. The expanding genetic sequencing including 15 TG-related genes (LPL, LMF1, APOC2, GPIHBP1, GCKR, ANGPTL3, APOB, APOA1-A4-C3-A5, TRIB1, CETP, APOE, and LIPI) was performed within 103 patients who were diagnosed with primary SHTG and 46 age- and sex-matched normal controls. Rare variants were found in 46 patients and 12 controls. The detection rate of rare variants in SHTG group increased by 19·5% via intensive genetic analysis. Presence of rare variants in LPL, APOA5, five LPL molecular regulating genes and all the sequenced genes were found to be associated with SHTG (p < 0·05). Of noted, patients with history of AP presented higher frequency of rare variants in LPL gene and all the LPL molecular regulating genes (27·8% vs.4·7% and 50·0% vs. 20·0%). The risk scores for SHTG determined by common TG-associated variants were increased in subgroups according to the extent of SHTG when they were compared with that of controls. Finally, patients without rare variants within SHTG group also presented higher risk scores than control group (p < 0·05). Expanding genetic analysis had a higher detection rate of rare variants in patients with SHTG. Rare variants in LPL and its molecular regulating genes could increase the risk of AP among Chinese patients with SHTG. FUND: This work was partially supported by the Capital Health Development Fund (201614035) and CAMS. Major Collaborative Innovation Project (2016-I2M-1-011) awarded to Dr. Jian-Jun Li, MD, PhD. Show less
📄 PDF DOI: 10.1016/j.ebiom.2018.11.001
APOA5
Jun Young Park, Chong Wu, Wei Pan · 2018 · BMC genetics · BioMed Central · added 2026-04-24
We propose a gene-level association test that accounts for individual relatedness and population structures in pedigree data in the framework of linear mixed models (LMMs). Our method data-adaptively Show more
We propose a gene-level association test that accounts for individual relatedness and population structures in pedigree data in the framework of linear mixed models (LMMs). Our method data-adaptively combines the results across a class of score-based tests, only requiring fitting a single null model (under the null hypothesis) for the whole genome, thereby being computationally efficient. We applied our approach to test for association with the high-density lipoprotein (HDL) ratio of post- and pretreatments in GAW20 data. Using the LMM similar to that used by Aslibekyan et al. (PLos One, 7:48663, 2012), our method identified 2 nearly significant genes (APOA5 and ZNF259) near rs964184, whereas neither the other gene-level tests nor the standard test on each individual single-nucleotide polymorphism (SNP) detected any significant gene in a genome-wide scan. Gene-level association testing can be a complementary approach to the SNP-level association testing and our method is adaptive and efficient compared to several other existing gene-level association tests. Show less
📄 PDF DOI: 10.1186/s12863-018-0639-2
APOA5
Yueyue You, Yan-Hua Wu, Yangyu Zhang +6 more · 2018 · BMJ open · added 2026-04-24
The goal of this study is to investigate the associations of apolipoprotein A5 ( This case-control study included 710 subjects (355 patients with CAD and 355 controls) who were recruited from a cross- Show more
The goal of this study is to investigate the associations of apolipoprotein A5 ( This case-control study included 710 subjects (355 patients with CAD and 355 controls) who were recruited from a cross-sectional study. Three single nucleotide polymorphisms (SNPs) rs662799 (-1131T>C), rs651821 (-3A>G) and rs2075291 (G185C) in Based on these data, variants of the Show less
📄 PDF DOI: 10.1136/bmjopen-2017-020016
APOA5