👤 Xueyi Wang

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Also published as: A Wang, Ai-Ling Wang, Ai-Ting Wang, Aihua Wang, Aijun Wang, Aili Wang, Aimin Wang, Aiting Wang, Aixian Wang, Aiyun Wang, Aizhong Wang, Alexander Wang, Alice Wang, Allen Wang, Anlai Wang, Anli Wang, Annette Wang, Anni Wang, Anqi Wang, Anthony Z Wang, Anxiang Wang, Anxin Wang, Ao Wang, Aoli Wang, B R Wang, B Wang, Baihan Wang, Baisong Wang, Baitao Wang, Bangchen Wang, Banghui Wang, Bangmao Wang, Bangshing Wang, Bao Wang, Bao-Long Wang, Baocheng Wang, Baofeng Wang, Baogui Wang, Baojun Wang, Baoli Wang, Baolong Wang, Baoming Wang, Baosen Wang, Baowei Wang, Baoying Wang, Baoyun Wang, Bei Bei Wang, Bei Wang, Beibei Wang, Beilan Wang, Beilei Wang, Ben Wang, Benjamin H Wang, Benzhong Wang, Bi Wang, Bi-Dar Wang, Biao Wang, Bicheng Wang, Bijue Wang, Bin Wang, Bin-Xue Wang, Binbin Wang, Bing Qing Wang, Bing Wang, Binghai Wang, Binghan Wang, Bingjie Wang, Binglong Wang, Bingnan Wang, Bingyan Wang, Bingyu Wang, Binquan Wang, Biqi Wang, Bo Wang, Bochu Wang, Boyu Wang, Bruce Wang, C Wang, C Z Wang, Cai Ren Wang, Cai-Hong Wang, Cai-Yun Wang, Cailian Wang, Caiqin Wang, Caixia Wang, Caiyan Wang, Can Wang, Cangyu Wang, Carol A Wang, Catherine Ruiyi Wang, Cenxuan Wang, Chan Wang, Chang Wang, Chang-Yun Wang, Changduo Wang, Changjing Wang, Changliang Wang, Changlong Wang, Changqian Wang, Changtu Wang, Changwei Wang, Changying Wang, Changyu Wang, Changyuan Wang, Changzhen Wang, Chao Wang, Chao-Jun Wang, Chao-Yung Wang, Chaodong Wang, Chaofan Wang, Chaohan Wang, Chaohui Wang, Chaojie Wang, Chaokui Wang, Chaomeng Wang, Chaoqun Wang, Chaoxian Wang, Chaoyi Wang, Chaoyu Wang, Chaozhan Wang, Charles C N Wang, Chau-Jong Wang, Chen Wang, Chen-Cen Wang, Chen-Ma Wang, Chen-Yu Wang, Chenchen Wang, Chenfei Wang, Cheng An Wang, Cheng Wang, Cheng-Cheng Wang, Cheng-Jie Wang, Cheng-zhang Wang, Chengbin Wang, Chengcheng Wang, Chenggang Wang, Chenghao Wang, Chenghua Wang, Chengjian Wang, Chengjun Wang, Chenglin Wang, Chenglong Wang, Chengniu Wang, Chengqiang Wang, Chengshuo Wang, Chenguang Wang, Chengwen Wang, Chengyan Wang, Chengyu Wang, Chengze Wang, Chenji Wang, Chenliang Wang, Chenwei Wang, Chenxi Wang, Chenxin Wang, Chenxuan Wang, Chenyang Wang, Chenyao Wang, Chenyin Wang, Chenyu Wang, Chenzi Wang, Chi Chiu Wang, Chi Wang, Chi-Ping Wang, Chia-Chuan Wang, Chia-Lin Wang, Chien-Hsun Wang, Chien-Wei Wang, Chih-Chun Wang, Chih-Hao Wang, Chih-Hsien Wang, Chih-Liang Wang, Chih-Yang Wang, Chih-Yuan Wang, Chijia Wang, Ching C Wang, Ching-Jen Wang, Chiou-Miin Wang, Chong Wang, Chongjian Wang, Chonglong Wang, Chongmin Wang, Chongze Wang, Christina Wang, Christine Wang, Chu Wang, Chuan Wang, Chuan-Chao Wang, Chuan-Hui Wang, Chuan-Jiang Wang, Chuan-Wen Wang, Chuang Wang, Chuanhai Wang, Chuansen Wang, Chuansheng Wang, Chuanxin Wang, Chuanyue Wang, Chuduan Wang, Chun Wang, Chun-Chieh Wang, Chun-Juan Wang, Chun-Li Wang, Chun-Lin Wang, Chun-Ting Wang, Chun-Xia Wang, Chung-Hsi Wang, Chung-Hsing Wang, Chung-Teng Wang, Chunguo Wang, Chunhong Wang, Chuning Wang, Chunjiong Wang, Chunjuan Wang, Chunle Wang, Chunli Wang, Chunlong Wang, Chunmei Wang, Chunsheng Wang, Chunting Wang, Chunxia Wang, Chunxue Wang, Chunyan Wang, Chunyang Wang, Chunyi Wang, Chunyu Wang, Chuyao Wang, Cindy Wang, Ciyang Wang, Cong Wang, Congcong Wang, Congrong Wang, Congrui Wang, Cui Wang, Cui-Fang Wang, Cui-Shan Wang, Cuili Wang, Cuiling Wang, Cuizhe Wang, Cun-Yu Wang, Cunchuan Wang, Cunyi Wang, D Wang, Da Wang, Da-Cheng Wang, Da-Li Wang, Da-Yan Wang, Da-Zhi Wang, Dadong Wang, Dai Wang, Daijun Wang, Daiwei Wang, Daixi Wang, Dajia Wang, Dake Wang, Dali Wang, Dalong Wang, Dalu Wang, Dan Wang, Dan-Dan Wang, Danan Wang, Dandan Wang, Danfeng Wang, Dang Wang, Dangfeng Wang, Danling Wang, Danqing Wang, Danxin Wang, Danyang Wang, Dao Wen Wang, Dao-Wen Wang, Dao-Xin Wang, Daolong Wang, Daoping Wang, Daozhong Wang, Dapeng Wang, Daping Wang, Daqi Wang, Daqing Wang, David Q H Wang, David Q-H Wang, David Wang, Dawei Wang, Dayan Wang, Dayong Wang, Dazhi Wang, De-He Wang, Dedong Wang, Dehao Wang, Deli Wang, Delin Wang, Delong Wang, Demin Wang, Deming Wang, Dengbin Wang, Dennis Qing Wang, Dennis Wang, Deqi Wang, Deshou Wang, Dezhong Wang, Di Wang, Dinghui Wang, Dingting Wang, Dingxiang Wang, Dong D Wang, Dong Hao Wang, Dong Wang, Dong-Dong Wang, Dong-Jie Wang, Dong-Mei Wang, DongWei Wang, Dongdong Wang, Donggen Wang, Donghao Wang, Donghong Wang, Donghui Wang, Dongliang Wang, Donglin Wang, Dongmei Wang, Dongqin Wang, Dongshi Wang, Dongxia Wang, Dongxu Wang, Dongyan Wang, Dongyang Wang, Dongyi Wang, Dongying Wang, Dongyu Wang, Doudou Wang, Du Wang, Duan Wang, Duanyang Wang, Duo-Ping Wang, E Wang, Edward Wang, En-bo Wang, En-hua Wang, Endi Wang, Enhua Wang, Er-Jin Wang, Erfei Wang, Erika Y Wang, Ermao Wang, Erming Wang, Ertao Wang, Eryao Wang, Eunice S Wang, Exing Wang, F Wang, Fa-Kai Wang, Fan Wang, Fanchang Wang, Fang Wang, Fang-Tao Wang, Fangfang Wang, Fangjie Wang, Fangjun Wang, Fangyan Wang, Fangyong Wang, Fangyu Wang, Fanhua Wang, Fanwen Wang, Fanxiong Wang, Fei Wang, Fei-Fei Wang, Fei-Yan Wang, Feida Wang, Feifei Wang, Feijie Wang, Feimiao Wang, Feixiang Wang, Feiyan Wang, Fen Wang, Feng Wang, Feng-Sheng Wang, Fengchong Wang, Fengge Wang, Fenghua Wang, Fengliang Wang, Fenglin Wang, Fengling Wang, Fengqiang Wang, Fengyang Wang, Fengying Wang, Fengyong Wang, Fengyun Wang, Fengzhen Wang, Fengzhong Wang, Fu Wang, Fu-Sheng Wang, Fu-Yan Wang, Fu-Zhen Wang, Fubao Wang, Fubing Wang, Fudi Wang, Fuhua Wang, Fuqiang Wang, Furong Wang, Fuwen Wang, Fuxin Wang, Fuyan Wang, G Q Wang, G Wang, G-W Wang, Gan Wang, Gang Wang, Ganggang Wang, Ganglin Wang, Gangyang Wang, Ganyu Wang, Gao T Wang, Gao Wang, Gaofu Wang, Gaopin Wang, Gavin Wang, Ge Wang, Geng Wang, Genghao Wang, Gengsheng Wang, Gongming Wang, Guan Wang, Guan-song Wang, Guandi Wang, Guanduo Wang, Guang Wang, Guang-Jie Wang, Guang-Rui Wang, Guangdi Wang, Guanghua Wang, Guanghui Wang, Guangliang Wang, Guangming Wang, Guangsuo Wang, Guangwen Wang, Guangyan Wang, Guangzhi Wang, Guanrou Wang, Guanru Wang, Guansong Wang, Guanyun Wang, Gui-Qi Wang, Guibin Wang, Guihu Wang, Guihua Wang, Guimin Wang, Guiping Wang, Guiqun Wang, Guixin Wang, Guixue Wang, Guiying Wang, Guo-Du Wang, Guo-Hua Wang, Guo-Liang Wang, Guo-Ping Wang, Guo-Quan Wang, Guo-hong Wang, GuoYou Wang, Guobin Wang, Guobing Wang, Guodong Wang, Guohang Wang, Guohao Wang, Guoliang Wang, Guoling Wang, Guoping Wang, Guoqian Wang, Guoqiang Wang, Guoqing Wang, Guorong Wang, Guowen Wang, Guoxiang Wang, Guoxiu Wang, Guoyi Wang, Guoying Wang, Guozheng Wang, H J Wang, H Wang, H X Wang, H Y Wang, H-Y Wang, Hai Bo Wang, Hai Wang, Hai Yang Wang, Hai-Feng Wang, Hai-Jun Wang, Hai-Long Wang, Haibin Wang, Haibing Wang, Haibo Wang, Haichao Wang, Haichuan Wang, Haifei Wang, Haifeng Wang, Haihe Wang, Haihong Wang, Haihua Wang, Haijiao Wang, Haijing Wang, Haijiu Wang, Haikun Wang, Hailei Wang, Hailin Wang, Hailing Wang, Hailong Wang, Haimeng Wang, Haina Wang, Haining Wang, Haiping Wang, Hairong Wang, Haitao Wang, Haiwei Wang, Haixia Wang, Haixin Wang, Haixing Wang, Haiyan Wang, Haiying Wang, Haiyong Wang, Haiyun Wang, Haizhen Wang, Han Wang, Hanbin Wang, Hanbing Wang, Hanchao Wang, Handong Wang, Hang Wang, Hangzhou Wang, Hanmin Wang, Hanping Wang, Hanqi Wang, Hanying Wang, Hanyu Wang, Hanzhi Wang, Hao Wang, Hao-Ching Wang, Hao-Hua Wang, Hao-Tian Wang, Hao-Yu Wang, Haobin Wang, Haochen Wang, Haohao Wang, Haohui Wang, Haojie Wang, Haolong Wang, Haomin Wang, Haoming Wang, Haonan Wang, Haoping Wang, Haoqi Wang, Haoran Wang, Haowei Wang, Haoxin Wang, Haoyang Wang, Haoyu Wang, Haozhou Wang, He Wang, He-Cheng Wang, He-Ling Wang, He-Ping Wang, He-Tong Wang, Hebo Wang, Hechuan Wang, Heling Wang, Hemei Wang, Heming Wang, Heng Wang, Heng-Cai Wang, Hengjiao Wang, Hengjun Wang, Hequn Wang, Hesuiyuan Wang, Heyong Wang, Hezhi Wang, Hong Wang, Hong Yi Wang, Hong-Gang Wang, Hong-Hui Wang, Hong-Kai Wang, Hong-Qin Wang, Hong-Wei Wang, Hong-Xia Wang, Hong-Yan Wang, Hong-Yang Wang, Hong-Ying Wang, Hongbin Wang, Hongbing Wang, Hongbo Wang, Hongcai Wang, Hongda Wang, Hongdan Wang, Hongfang Wang, Hongjia Wang, Hongjian Wang, Hongjie Wang, Hongjuan Wang, Hongkun Wang, Honglei Wang, Hongli Wang, Honglian Wang, Honglun Wang, Hongmei Wang, Hongpin Wang, Hongqian Wang, Hongshan Wang, Hongsheng Wang, Hongtao Wang, Hongwei Wang, Hongxia Wang, Hongxin Wang, Hongyan Wang, Hongyang Wang, Hongyi Wang, Hongyin Wang, Hongying Wang, Hongyu Wang, Hongyuan Wang, Hongyue Wang, Hongyun Wang, Hongze Wang, Hongzhan Wang, Hongzhuang Wang, Horng-Dar Wang, Houchun Wang, Hsei-Wei Wang, Hsueh-Chun Wang, Hu WANG, Hua Wang, Hua-Qin Wang, Hua-Wei Wang, Huabo Wang, Huafei Wang, Huai-Zhou Wang, Huaibing Wang, Huaili Wang, Huaizhi Wang, Huajin Wang, Huajing Wang, Hualin Wang, Hualing Wang, Huan Wang, Huan-You Wang, Huang Wang, Huanhuan Wang, Huanyu Wang, Huaquan Wang, Huating Wang, Huawei Wang, Huaxiang Wang, Huayang Wang, Huei Wang, Hui Miao Wang, Hui Wang, Hui-Hui Wang, Hui-Li Wang, Hui-Nan Wang, Hui-Yu Wang, HuiYue Wang, Huie Wang, Huiguo Wang, Huihua Wang, Huihui Wang, Huijie Wang, Huijun Wang, Huilun Wang, Huimei Wang, Huimin Wang, Huina Wang, Huiping Wang, Huiquan Wang, Huiqun Wang, Huishan Wang, Huiting Wang, Huiwen Wang, Huixia Wang, Huiyan Wang, Huiyang Wang, Huiyao Wang, Huiying Wang, Huiyu Wang, Huizhen Wang, Huizhi Wang, Huming Wang, I-Ching Wang, Iris X Wang, Isabel Z Wang, J J Wang, J P Wang, J Q Wang, J Wang, J Z Wang, J-Y Wang, Jacob E Wang, James Wang, Jeffrey Wang, Jen-Chun Wang, Jen-Chywan Wang, Jennifer E Wang, Jennifer T Wang, Jennifer X Wang, Jenny Y Wang, Jeremy R Wang, Jeremy Wang, Ji M Wang, Ji Wang, Ji-Nuo Wang, Ji-Yang Wang, Ji-Yao Wang, Ji-zheng Wang, Jia Bei Wang, Jia Bin Wang, Jia Wang, Jia-Liang Wang, Jia-Lin Wang, Jia-Mei Wang, Jia-Peng Wang, Jia-Qi Wang, Jia-Qiang Wang, Jia-Ying Wang, Jia-Yu Wang, Jiabei Wang, Jiabo Wang, Jiafeng Wang, Jiafu Wang, Jiahao Wang, Jiahui Wang, Jiajia Wang, Jiakun Wang, Jiale Wang, Jiali Wang, Jialiang Wang, Jialin Wang, Jialing Wang, Jiamin Wang, Jiaming Wang, Jian Wang, Jian'an Wang, Jian-Bin Wang, Jian-Guo Wang, Jian-Hong Wang, Jian-Long Wang, Jian-Wei Wang, Jian-Xiong Wang, Jian-Yong Wang, Jian-Zhi Wang, Jian-chun Wang, Jianan Wang, Jianbing Wang, Jianbo Wang, Jianding Wang, Jianfang Wang, Jianfei Wang, Jiang Wang, Jiangbin Wang, Jiangbo Wang, Jianghua Wang, Jianghui Wang, Jiangong Wang, Jianguo Wang, Jianhao Wang, Jianhua Wang, Jianhui Wang, Jiani Wang, Jianjiao Wang, Jianjie Wang, Jianjun Wang, Jianle Wang, Jianli Wang, Jianlin Wang, Jianliu Wang, Jianlong Wang, Jianmei Wang, Jianmin Wang, Jianning Wang, Jianping Wang, Jianqin Wang, Jianqing Wang, Jianqun Wang, Jianru Wang, Jianshe Wang, Jianshu Wang, Jiantao Wang, Jianwei Wang, Jianwu Wang, Jianxiang Wang, Jianxin Wang, Jianye Wang, Jianying Wang, Jianyong Wang, Jianyu Wang, Jianzhang Wang, Jianzhi Wang, Jiao Wang, Jiaojiao Wang, Jiapan Wang, Jiaping Wang, Jiaqi Wang, Jiaqian Wang, Jiatao Wang, Jiawei Wang, Jiawen Wang, Jiaxi Wang, Jiaxin Wang, Jiaxing Wang, Jiaxuan Wang, Jiayan Wang, Jiayang Wang, Jiayi Wang, Jiaying Wang, Jiayu Wang, Jiazheng Wang, Jiazhi Wang, Jie Jin Wang, Jie Wang, Jieda Wang, Jieh-Neng Wang, Jiemei Wang, Jieqi Wang, Jieyan Wang, Jieyu Wang, Jifei Wang, Jiheng Wang, Jihong Wang, Jiliang Wang, Jilin Wang, Jin Wang, Jin'e Wang, Jin-Bao Wang, Jin-Cheng Wang, Jin-Da Wang, Jin-E Wang, Jin-Juan Wang, Jin-Liang Wang, Jin-Xia Wang, Jin-Xing Wang, Jincheng Wang, Jindan Wang, Jinfei Wang, Jinfeng Wang, Jinfu Wang, Jing J Wang, Jing Wang, Jing-Hao Wang, Jing-Huan Wang, Jing-Jing Wang, Jing-Long Wang, Jing-Min Wang, Jing-Shi Wang, Jing-Wen Wang, Jing-Xian Wang, Jing-Yi Wang, Jing-Zhai Wang, Jingang Wang, Jingchun Wang, Jingfan Wang, Jingfeng Wang, Jingheng Wang, Jinghong Wang, Jinghua Wang, Jinghuan Wang, Jingjing Wang, Jingkang Wang, Jinglin Wang, Jingmin Wang, Jingnan Wang, Jingqi Wang, Jingru Wang, Jingtong Wang, Jingwei Wang, Jingwen Wang, Jingxiao Wang, Jingyang Wang, Jingyi Wang, Jingying Wang, Jingyu Wang, Jingyue Wang, Jingyun Wang, Jingzhou Wang, Jinhai Wang, Jinhao Wang, Jinhe Wang, Jinhua Wang, Jinhuan Wang, Jinhui Wang, Jinjie Wang, Jinjin Wang, Jinkang Wang, Jinling Wang, Jinlong Wang, Jinmeng Wang, Jinning Wang, Jinping Wang, Jinqiu Wang, Jinrong Wang, Jinru Wang, Jinsong Wang, Jintao Wang, Jinxia Wang, Jinxiang Wang, Jinyang Wang, Jinyu Wang, Jinyue Wang, Jinyun Wang, Jinzhu Wang, Jiou Wang, Jipeng Wang, Jiqing Wang, Jiqiu Wang, Jisheng Wang, Jiu Wang, Jiucun Wang, Jiun-Ling Wang, Jiwen Wang, Jixuan Wang, Jiyan Wang, Jiying Wang, Jiyong Wang, Jizheng Wang, John Wang, Jou-Kou Wang, Joy Wang, Ju Wang, Juan Wang, Jue Wang, Jueqiong Wang, Jufeng Wang, Julie Wang, Juling Wang, Jun Kit Wang, Jun Wang, Jun Yi Wang, Jun-Feng Wang, Jun-Jie Wang, Jun-Jun Wang, Jun-Ling Wang, Jun-Sheng Wang, Jun-Sing Wang, Jun-Zhuo Wang, Jundong Wang, Junfeng Wang, Jung-Pan Wang, Junhong Wang, Junhua Wang, Junhui Wang, Junjiang Wang, Junjie Wang, Junjun Wang, Junkai Wang, Junke Wang, Junli Wang, Junlin Wang, Junling Wang, Junmei Wang, Junmin Wang, Junpeng Wang, Junping Wang, Junqin Wang, Junqing Wang, Junrui Wang, Junsheng Wang, Junshi Wang, Junshuang Wang, Junwen Wang, Junxiao Wang, Junya Wang, Junying Wang, Junyu Wang, Justin Wang, Jutao Wang, Juxiang Wang, K Wang, Kai Wang, Kai-Kun Wang, Kai-Wen Wang, Kaicen Wang, Kaihao Wang, Kaihe Wang, Kaihong Wang, Kaijie Wang, Kaijuan Wang, Kailu Wang, Kaiming Wang, Kaining Wang, Kaiting Wang, Kaixi Wang, Kaixu Wang, Kaiyan Wang, Kaiyuan Wang, Kaiyue Wang, Kan Wang, Kangli Wang, Kangling Wang, Kangmei Wang, Kangning Wang, Ke Wang, Ke-Feng Wang, KeShan Wang, Kehan Wang, Kehao Wang, Kejia Wang, Kejian Wang, Kejun Wang, Keke Wang, Keming Wang, Kenan Wang, Keqing Wang, Kesheng Wang, Kexin Wang, Keyan Wang, Keyi Wang, Keyun Wang, Kongyan Wang, Kuan Hong Wang, Kui Wang, Kun Wang, Kunhua Wang, Kunpeng Wang, Kunzheng Wang, L F Wang, L M Wang, L Wang, L Z Wang, L-S Wang, Laidi Wang, Laijian Wang, Laiyuan Wang, Lan Wang, Lan-Wan Wang, Lan-lan Wang, Lanlan Wang, Larry Wang, Le Wang, Le-Xin Wang, Ledan Wang, Lee-Kai Wang, Lei P Wang, Lei Wang, Lei-Lei Wang, Leiming Wang, Leishen Wang, Leli Wang, Leran Wang, Lexin Wang, Leying Wang, Li Chun Wang, Li Dong Wang, Li Wang, Li-Dong Wang, Li-E Wang, Li-Juan Wang, Li-Li Wang, Li-Na Wang, Li-San Wang, Li-Ting Wang, Li-Xin Wang, Li-Yong Wang, LiLi Wang, Lian Wang, Lianchun Wang, Liang Wang, Liang-Yan Wang, Liangfu Wang, Lianghai Wang, Liangli Wang, Liangliang Wang, Liangxu Wang, Lianshui Wang, Lianyong Wang, Libo Wang, Lichan Wang, Lichao Wang, Liewei Wang, Lifang Wang, Lifei Wang, Lifen Wang, Lifeng Wang, Ligang Wang, Lihong Wang, Lihua Wang, Lihui Wang, Lijia Wang, Lijin Wang, Lijing Wang, Lijuan Wang, Lijun Wang, Liling Wang, Lily Wang, Limeng Wang, Limin Wang, Liming Wang, Lin Wang, Lin-Fa Wang, Lin-Yu Wang, Lina Wang, Linfang Wang, Ling Jie Wang, Ling Wang, Ling-Ling Wang, Lingbing Wang, Lingda Wang, Linghua Wang, Linghuan Wang, Lingli Wang, Lingling Wang, Lingyan Wang, Lingzhi Wang, Linhua Wang, Linhui Wang, Linjie Wang, Linli Wang, Linlin Wang, Linping Wang, Linshu Wang, Linshuang Wang, Lintao Wang, Linxuan Wang, Linying Wang, Linyuan Wang, Liping Wang, Liqing Wang, Liqun Wang, Lirong Wang, Litao Wang, Liting Wang, Liu Wang, Liusong Wang, Liuyang Wang, Liwei Wang, Lixia Wang, Lixian Wang, Lixiang Wang, Lixin Wang, Lixing Wang, Lixiu Wang, Liyan Wang, Liyi Wang, Liying Wang, Liyong Wang, Liyuan Wang, Liyun Wang, Long Wang, Longcai Wang, Longfei Wang, Longsheng Wang, Longxiang Wang, Lou-Pin Wang, Lu Wang, Lu-Lu Wang, Lueli Wang, Lufang Wang, Luhong Wang, Luhui Wang, Lujuan Wang, Lulu Wang, Luofu Wang, Luping Wang, Luting Wang, Luwen Wang, Luxiang Wang, Luya Wang, Luyao Wang, Luyun Wang, Lynn Yuning Wang, M H Wang, M Wang, M Y Wang, M-J Wang, Maiqiu Wang, Man Wang, Mangju Wang, Manli Wang, Mao-Xin Wang, Maochun Wang, Maojie Wang, Maoju Wang, Mark Wang, Mei Wang, Mei-Gui Wang, Mei-Xia Wang, Meiding Wang, Meihui Wang, Meijun Wang, Meiling Wang, Meixia Wang, Melissa T Wang, Meng C Wang, Meng Wang, Meng Yu Wang, Meng-Dan Wang, Meng-Lan Wang, Meng-Meng Wang, Meng-Ru Wang, Meng-Wei Wang, Meng-Ying Wang, Meng-hong Wang, Mengge Wang, Menghan Wang, Menghui Wang, Mengjiao Wang, Mengjing Wang, Mengjun Wang, Menglong Wang, Menglu Wang, Mengmeng Wang, Mengqi Wang, Mengru Wang, Mengshi Wang, Mengwen Wang, Mengxiao Wang, Mengya Wang, Mengyao Wang, Mengying Wang, Mengyuan Wang, Mengyue Wang, Mengyun Wang, Mengze Wang, Mengzhao Wang, Mengzhi Wang, Mian Wang, Miao Wang, Mimi Wang, Min Wang, Min-sheng Wang, Ming Wang, Ming-Chih Wang, Ming-Hsi Wang, Ming-Jie Wang, Ming-Wei Wang, Ming-Yang Wang, Ming-Yuan Wang, Mingchao Wang, Mingda Wang, Minghua Wang, Minghuan Wang, Minghui Wang, Mingji Wang, Mingjin Wang, Minglei Wang, Mingliang Wang, Mingmei Wang, Mingming Wang, Mingqiang Wang, Mingrui Wang, Mingsong Wang, Mingxi Wang, Mingxia Wang, Mingxun Wang, Mingya Wang, Mingyang Wang, Mingyi Wang, Mingyu Wang, Mingzhi Wang, Mingzhu Wang, Minjie Wang, Minjun Wang, Minmin Wang, Minxian Wang, Minxiu Wang, Minzhou Wang, Miranda C Wang, Mo Wang, Mofei Wang, Monica Wang, Mu Wang, Mutian Wang, Muxiao Wang, Muxuan Wang, N Wang, Na Wang, Nan Wang, Nana Wang, Nanbu Wang, Nannan Wang, Nanping Wang, Neng Wang, Ni Wang, Niansong Wang, Ning Wang, Ningjian Wang, Ningli Wang, Ningyuan Wang, Nuan Wang, Oliver Wang, Ouchen Wang, P Jeremy Wang, P L Wang, P N Wang, P Wang, Pai Wang, Pan Wang, Pan-Pan Wang, Panfeng Wang, Panliang Wang, Pei Chang Wang, Pei Wang, Pei-Hua Wang, Pei-Jian Wang, Pei-Juan Wang, Pei-Wen Wang, Pei-Yu Wang, Peichang Wang, Peigeng Wang, Peihe Wang, Peijia Wang, Peijuan Wang, Peijun Wang, Peilin Wang, Peipei Wang, Peirong Wang, Peiwen Wang, Peixi Wang, Peiyao Wang, Peiyin Wang, Peng Wang, Peng-Cheng Wang, Pengbo Wang, Pengchao Wang, Pengfei Wang, Pengjie Wang, Pengju Wang, Penglai Wang, Penglong Wang, Pengpu Wang, Pengtao Wang, Pengxiang Wang, Pengyu Wang, Pin Wang, Ping Wang, Pingchuan Wang, Pingfeng Wang, Pingping Wang, Pintian Wang, Po-Jen Wang, Pu Wang, Q Wang, Q Z Wang, Qi Wang, Qi-Bing Wang, Qi-En Wang, Qi-Jia Wang, Qi-Qi Wang, Qian Wang, Qian-Liang Wang, Qian-Wen Wang, Qian-Zhu Wang, Qian-fei Wang, Qianbao Wang, Qiang Wang, Qiang-Sheng Wang, Qiangcheng Wang, Qianghu Wang, Qiangqiang Wang, Qianjin Wang, Qianliang Wang, Qianqian Wang, Qianrong Wang, Qianru Wang, Qianwen Wang, Qianxu Wang, Qiao Wang, Qiao-Ping Wang, Qiaohong Wang, Qiaoqi Wang, Qiaoqiao Wang, Qifan Wang, Qifei Wang, Qifeng Wang, Qigui Wang, Qihao Wang, Qihua Wang, Qijia Wang, Qiming Wang, Qin Wang, Qing Jun Wang, Qing K Wang, Qing Kenneth Wang, Qing Mei Wang, Qing Wang, Qing-Bin Wang, Qing-Dong Wang, Qing-Jin Wang, Qing-Liang Wang, Qing-Mei Wang, Qing-Yan Wang, Qing-Yuan Wang, Qing-Yun Wang, QingDong Wang, Qingchun Wang, Qingfa Wang, Qingfeng Wang, Qinghang Wang, Qingliang Wang, Qinglin Wang, Qinglu Wang, Qingming Wang, Qingping Wang, Qingqing Wang, Qingshi Wang, Qingshui Wang, Qingsong Wang, Qingtong Wang, Qingyong Wang, Qingyu Wang, Qingyuan Wang, Qingyun Wang, Qingzhong Wang, Qinqin Wang, Qinrong Wang, Qintao Wang, Qinwen Wang, Qinyun Wang, Qiong Wang, Qiqi Wang, Qirui Wang, Qishan Wang, Qiu-Ling Wang, Qiu-Xia Wang, Qiuhong Wang, Qiuli Wang, Qiuling Wang, Qiuning Wang, Qiuping Wang, Qiushi Wang, Qiuting Wang, Qiuyan Wang, Qiuyu Wang, Qiwei Wang, Qixue Wang, Qiyu Wang, Qiyuan Wang, Quan Wang, Quan-Ming Wang, Quanli Wang, Quanren Wang, Quanxi Wang, Qun Wang, Qunxian Wang, Qunzhi Wang, R Wang, Ran Wang, Ranjing Wang, Ranran Wang, Re-Hua Wang, Ren Wang, Rencheng Wang, Renjun Wang, Renqian Wang, Renwei Wang, Renxi Wang, Renxiao Wang, Renyuan Wang, Rihua Wang, Rikang Wang, Rixiang Wang, Robert Yl Wang, Rong Wang, Rong-Chun Wang, Rong-Rong Wang, Rong-Tsorng Wang, RongRong Wang, Rongjia Wang, Rongping Wang, Rongyun Wang, Ru Wang, RuNan Wang, Ruey-Yun Wang, Rufang Wang, Ruhan Wang, Rui Wang, Rui-Hong Wang, Rui-Min Wang, Rui-Ping Wang, Rui-Rui Wang, Ruibin Wang, Ruibing Wang, Ruibo Wang, Ruicheng Wang, Ruifang Wang, Ruijing Wang, Ruimeng Wang, Ruimin Wang, Ruiming Wang, Ruinan Wang, Ruining Wang, Ruiquan Wang, Ruiwen Wang, Ruixian Wang, Ruixin Wang, Ruixuan Wang, Ruixue Wang, Ruiying Wang, Ruizhe Wang, Ruizhi Wang, Rujie Wang, Ruling Wang, Ruming Wang, Runci Wang, Runuo Wang, Runze Wang, Runzhi Wang, Ruo-Nan Wang, Ruo-Ran Wang, Ruonan Wang, Ruosu Wang, Ruoxi Wang, Rurong Wang, Ruting Wang, Ruxin Wang, Ruxuan Wang, Ruyue Wang, S L Wang, S S Wang, S Wang, S X Wang, Sa A Wang, Sa Wang, Saifei Wang, Saili Wang, Sainan Wang, Saisai Wang, Sangui Wang, Sanwang Wang, Sasa Wang, Sen Wang, Seok Mui Wang, Seungwon Wang, Sha Wang, Shan Wang, Shan-Shan Wang, Shang Wang, Shangyu Wang, Shanshan Wang, Shao-Kang Wang, Shaochun Wang, Shaohsu Wang, Shaokun Wang, Shaoli Wang, Shaolian Wang, Shaoshen Wang, Shaowei Wang, Shaoyi Wang, Shaoying Wang, Shaoyu Wang, Shaozheng Wang, Shasha Wang, Shau-Chun Wang, Shawn Wang, Shen Wang, Shen-Nien Wang, Shenao Wang, Sheng Wang, Sheng-Min Wang, Sheng-Nan Wang, Sheng-Ping Wang, Sheng-Quan Wang, Sheng-Yang Wang, Shengdong Wang, Shengjie Wang, Shengli Wang, Shengqi Wang, Shengya Wang, Shengyao Wang, Shengyu Wang, Shengyuan Wang, Shenqi Wang, Sheri Wang, Shi Wang, Shi-Cheng Wang, Shi-Han Wang, Shi-Qi Wang, Shi-Xin Wang, Shi-Yao Wang, Shibin Wang, Shichao Wang, Shicung Wang, Shidong Wang, Shifa Wang, Shifeng Wang, Shih-Wei Wang, Shihan Wang, Shihao Wang, Shihua Wang, Shijie Wang, Shijin Wang, Shijun Wang, Shikang Wang, Shimiao Wang, Shiqi Wang, Shiqiang Wang, Shitao Wang, Shitian Wang, Shiwen Wang, Shixin Wang, Shixuan Wang, Shiyang Wang, Shiyao Wang, Shiyin Wang, Shiyu Wang, Shiyuan Wang, Shiyue Wang, Shizhi Wang, Shouli Wang, Shouling Wang, Shouzhi Wang, Shu Wang, Shu-Huei Wang, Shu-Jin Wang, Shu-Ling Wang, Shu-Na Wang, Shu-Song Wang, Shu-Xia Wang, Shu-qiang Wang, Shuai Wang, Shuaiqin Wang, Shuang Wang, Shuang-Shuang Wang, Shuang-Xi Wang, Shuangyuan Wang, Shubao Wang, Shudan Wang, Shuge Wang, Shuguang Wang, Shuhe Wang, Shuiliang Wang, Shuiyun Wang, Shujin Wang, Shukang Wang, Shukui Wang, Shun Wang, Shuning Wang, Shunjun Wang, Shunran Wang, Shuo Wang, Shuping Wang, Shuqi Wang, Shuqing Wang, Shuren Wang, Shusen Wang, Shusheng Wang, Shushu Wang, Shuu-Jiun Wang, Shuwei Wang, Shuxia Wang, Shuxin Wang, Shuya Wang, Shuye Wang, Shuyue Wang, Shuzhe Wang, Shuzhen Wang, Shuzhong Wang, Shyi-Gang P Wang, Si Wang, Sibo Wang, Sidan Wang, Sihua Wang, Sijia Wang, Silas L Wang, Silu Wang, Simeng Wang, Siqi Wang, Siqing Wang, Siwei Wang, Siyang Wang, Siyi Wang, Siying Wang, Siyu Wang, Siyuan Wang, Siyue Wang, Song Wang, Songjiao Wang, Songlin Wang, Songping Wang, Songsong Wang, Songtao Wang, Sophie H Wang, Stephani Wang, Su'e Wang, Su-Guo Wang, Su-Hua Wang, Sufang Wang, Sugai Wang, Sui Wang, Suiyan Wang, Sujie Wang, Sujuan Wang, Suli Wang, Sun Wang, Supeng Perry Wang, Suxia Wang, Suyun Wang, Suzhen Wang, T Q Wang, T Wang, T Y Wang, Taian Wang, Taicheng Wang, Taishu Wang, Tammy C Wang, Tao Wang, Taoxia Wang, Teng Wang, Tengfei Wang, Theodore Wang, Thomas T Y Wang, Tian Wang, Tian-Li Wang, Tian-Lu Wang, Tian-Tian Wang, Tian-Yi Wang, Tiancheng Wang, Tiange Wang, Tianhao Wang, Tianhu Wang, Tianhui Wang, Tianjing Wang, Tianjun Wang, Tianlin Wang, Tiannan Wang, Tianpeng Wang, Tianqi Wang, Tianqin Wang, Tianqing Wang, Tiansheng Wang, Tiansong Wang, Tiantian Wang, Tianyi Wang, Tianying Wang, Tianyuan Wang, Tielin Wang, Tienju Wang, Tieqiao Wang, Timothy C Wang, Ting Chen Wang, Ting Wang, Ting-Chen Wang, Ting-Hua Wang, Ting-Ting Wang, Tingting Wang, Tingye Wang, Tingyu Wang, Tom J Wang, Tong Wang, Tong-Hong Wang, Tongsong Wang, Tongtong Wang, Tongxia Wang, Tongxin Wang, Tongyao Wang, Tony Wang, Tzung-Dau Wang, Victoria Wang, Vivian Wang, W Wang, Wanbing Wang, Wanchun Wang, Wang Wang, Wangxia Wang, Wanliang Wang, Wanxia Wang, Wanyao Wang, Wanyi Wang, Wanyu Wang, Wayseen Wang, Wei Wang, Wei-En Wang, Wei-Feng Wang, Wei-Lien Wang, Wei-Qi Wang, Wei-Ting Wang, Wei-Wei Wang, Weicheng Wang, Weiding Wang, Weidong Wang, Weifan Wang, Weiguang Wang, Weihao Wang, Weihong Wang, Weihua Wang, Weijian Wang, Weijie Wang, Weijun Wang, Weilin Wang, Weiling Wang, Weilong Wang, Weimin Wang, Weina Wang, Weining Wang, Weipeng Wang, Weiqin Wang, Weiqing Wang, Weirong Wang, Weiwei Wang, Weiwen Wang, Weixiao Wang, Weixue Wang, Weiyan Wang, Weiyu Wang, Weiyuan Wang, Weizhen Wang, Weizhi Wang, Weizhong Wang, Wen Wang, Wen-Chang Wang, Wen-Der Wang, Wen-Fei Wang, Wen-Jie Wang, Wen-Jun Wang, Wen-Qing Wang, Wen-Xuan Wang, Wen-Yan Wang, Wen-Ying Wang, Wen-Yong Wang, Wen-mei Wang, Wenbin Wang, Wenbo Wang, Wence Wang, Wenchao Wang, Wencheng Wang, Wendong Wang, Wenfei Wang, Wengong Wang, Wenhan Wang, Wenhao Wang, Wenhe Wang, Wenhui Wang, Wenjie Wang, Wenjing Wang, Wenju Wang, Wenjuan Wang, Wenjun Wang, Wenkai Wang, Wenkang Wang, Wenke Wang, Wenming Wang, Wenqi Wang, Wenqiang Wang, Wenqing Wang, Wenran Wang, Wenrui Wang, Wentao Wang, Wentian Wang, Wenting Wang, Wenwen Wang, Wenxia Wang, Wenxian Wang, Wenxiang Wang, Wenxiu Wang, Wenxuan Wang, Wenya Wang, Wenyan Wang, Wenyi Wang, Wenying Wang, Wenyu Wang, Wenyuan Wang, Wenzhou Wang, William Wang, Won-Jing Wang, Wu-Wei Wang, Wuji Wang, Wuqing Wang, Wusan Wang, X E Wang, X F Wang, X O Wang, X S Wang, X Wang, X-T Wang, Xi Wang, Xi-Hong Wang, Xi-Rui Wang, Xia Wang, Xian Wang, Xian-e Wang, Xianding Wang, Xianfeng Wang, Xiang Wang, Xiang-Dong Wang, Xiangcheng Wang, Xiangding Wang, Xiangdong Wang, Xiangguo Wang, Xianghua Wang, Xiangkun Wang, Xiangrong Wang, Xiangru Wang, Xiangwei Wang, Xiangyu Wang, Xianna Wang, Xianqiang Wang, Xianrong Wang, Xianshi Wang, Xianshu Wang, Xiansong Wang, Xiantao Wang, Xianwei Wang, Xianxing Wang, Xianze Wang, Xianzhe Wang, Xianzong Wang, Xiao Ling Wang, Xiao Qun Wang, Xiao Wang, Xiao-Ai Wang, Xiao-Fei Wang, Xiao-Hui Wang, Xiao-Jie Wang, Xiao-Juan Wang, Xiao-Lan Wang, Xiao-Li Wang, Xiao-Lin Wang, Xiao-Ming Wang, Xiao-Pei Wang, Xiao-Qian Wang, Xiao-Qun Wang, Xiao-Tong Wang, Xiao-Xia Wang, Xiao-Yi Wang, Xiao-Yun Wang, Xiao-jian WANG, Xiao-liang Wang, Xiaobin Wang, Xiaobo Wang, Xiaochen Wang, Xiaochuan Wang, Xiaochun Wang, Xiaodan Wang, Xiaoding Wang, Xiaodong Wang, Xiaofang Wang, Xiaofei Wang, Xiaofen Wang, Xiaofeng Wang, Xiaogang Wang, Xiaohong Wang, Xiaohu Wang, Xiaohua Wang, Xiaohui Wang, Xiaojia Wang, Xiaojian Wang, Xiaojiao Wang, Xiaojie Wang, Xiaojing Wang, Xiaojuan Wang, Xiaojun Wang, Xiaokun Wang, Xiaole Wang, Xiaoli Wang, Xiaoliang Wang, Xiaolin Wang, Xiaoling Wang, Xiaolong Wang, Xiaolu Wang, Xiaolun Wang, Xiaoman Wang, Xiaomei Wang, Xiaomeng Wang, Xiaomin Wang, Xiaoming Wang, Xiaona Wang, Xiaonan Wang, Xiaoning Wang, Xiaoqi Wang, Xiaoqian Wang, Xiaoqin Wang, Xiaoqing Wang, Xiaoqiu Wang, Xiaoqun Wang, Xiaorong Wang, Xiaorui Wang, Xiaoshan Wang, Xiaosong Wang, Xiaotang Wang, Xiaoting Wang, Xiaotong Wang, Xiaowei Wang, Xiaowen Wang, Xiaowu Wang, Xiaoxia Wang, Xiaoxiao Wang, Xiaoxin Wang, Xiaoxin X Wang, Xiaoxuan Wang, Xiaoya Wang, Xiaoyan Wang, Xiaoyang Wang, Xiaoye Wang, Xiaoying Wang, Xiaoyu Wang, Xiaozhen Wang, Xiaozhi Wang, Xiaozhong Wang, Xiaozhu Wang, Xichun Wang, Xidi Wang, Xietong Wang, Xifeng Wang, Xifu Wang, Xijun Wang, Xike Wang, Xin Wang, Xin Wei Wang, Xin-Hua Wang, Xin-Liang Wang, Xin-Ming Wang, Xin-Peng Wang, Xin-Qun Wang, Xin-Shang Wang, Xin-Xin Wang, Xin-Yang Wang, Xin-Yue Wang, Xinbo Wang, Xinchang Wang, Xinchao Wang, Xinchen Wang, Xincheng Wang, Xinchun Wang, Xindi Wang, Xindong Wang, Xing Wang, Xing-Huan Wang, Xing-Jin Wang, Xing-Jun Wang, Xing-Lei Wang, Xing-Ping Wang, Xing-Quan Wang, Xingbang Wang, Xingchen Wang, Xingde Wang, Xingguo Wang, Xinghao Wang, Xinghui Wang, Xingjie Wang, Xingjin Wang, Xinglei Wang, Xinglong Wang, Xingqin Wang, Xinguo Wang, Xingxin Wang, Xingxing Wang, Xingye Wang, Xingyu Wang, Xingyue Wang, Xingyun Wang, Xinhui Wang, Xinjing Wang, Xinjun Wang, Xinke Wang, Xinkun Wang, Xinli Wang, Xinlin Wang, Xinlong Wang, Xinmei Wang, Xinqi Wang, Xinquan Wang, Xinran Wang, Xinrong Wang, Xinru Wang, Xinrui Wang, Xinshuai Wang, Xintong Wang, Xinwen Wang, Xinxin Wang, Xinyan Wang, Xinyang Wang, Xinye Wang, Xinyi Wang, Xinying Wang, Xinyu Wang, Xinyue Wang, Xinzhou Wang, Xiong Wang, Xiongjun Wang, Xiru Wang, Xitian Wang, Xiu-Lian Wang, Xiu-Ping Wang, Xiufen Wang, Xiujuan Wang, Xiujun Wang, Xiurong Wang, Xiuwen Wang, Xiuyu Wang, Xiuyuan Hugh Wang, Xixi Wang, Xixiang Wang, Xiyan Wang, Xiyue Wang, Xizhi Wang, Xu Wang, Xu-Hong Wang, Xuan Wang, Xuan-Ren Wang, Xuan-Ying Wang, Xuanwen Wang, Xuanyi Wang, Xubo Wang, Xudong Wang, Xue Wang, Xue-Feng Wang, Xue-Hua Wang, Xue-Lei Wang, Xue-Lian Wang, Xue-Rui Wang, Xue-Yao Wang, Xue-Ying Wang, Xuebin Wang, Xueding Wang, Xuedong Wang, Xuefei Wang, Xuefeng Wang, Xueguo Wang, Xuehao Wang, Xuejie Wang, Xuejing Wang, Xueju Wang, Xuejun Wang, Xuekai Wang, Xuelai Wang, Xuelian Wang, Xuelin Wang, Xuemei Wang, Xuemin Wang, Xueping Wang, Xueqian Wang, Xueqin Wang, Xuesong Wang, Xueting Wang, Xuewei Wang, Xuewen Wang, Xuexiang Wang, Xueyan Wang, Xueying Wang, Xueyun Wang, Xuezhen Wang, Xuezheng Wang, Xufei Wang, Xujing Wang, Xuliang Wang, Xumeng Wang, Xun Wang, Xuping Wang, Xuqiao Wang, Xuru Wang, Xusheng Wang, Xv Wang, Y Alan Wang, Y B Wang, Y H Wang, Y L Wang, Y P Wang, Y Wang, Y Y Wang, Y Z Wang, Y-H Wang, Y-S Wang, Ya Qi Wang, Ya Wang, Ya Xing Wang, Ya-Han Wang, Ya-Jie Wang, Ya-Long Wang, Ya-Nan Wang, Ya-Ping Wang, Ya-Qin Wang, Ya-Zhou Wang, Yachen Wang, Yachun Wang, Yadong Wang, Yafang Wang, Yafen Wang, Yahong Wang, Yahui Wang, Yajie Wang, Yajing Wang, Yajun Wang, Yake Wang, Yakun Wang, Yali Wang, Yalin Wang, Yaling Wang, Yalong Wang, Yan Ming Wang, Yan Wang, Yan-Chao Wang, Yan-Chun Wang, Yan-Feng Wang, Yan-Ge Wang, Yan-Jiang Wang, Yan-Jun Wang, Yan-Ming Wang, Yan-Yang Wang, Yan-Yi Wang, Yan-Zi Wang, Yana Wang, Yanan Wang, Yanbin Wang, Yanbing Wang, Yanchun Wang, Yancun Wang, Yanfang Wang, Yanfei Wang, Yanfeng Wang, Yang Wang, Yang-Yang Wang, Yange Wang, Yanggan Wang, Yangpeng Wang, Yangyang Wang, Yangyufan Wang, Yanhai Wang, Yanhong Wang, Yanhua Wang, Yanhui Wang, Yani Wang, Yanjin Wang, Yanjun Wang, Yankun Wang, Yanlei Wang, Yanli Wang, Yanliang Wang, Yanlin Wang, Yanling Wang, Yanmei Wang, Yanming Wang, Yanni Wang, Yanong Wang, Yanping Wang, Yanqing Wang, Yanru Wang, Yanting Wang, Yanwen Wang, Yanxia Wang, Yanxing Wang, Yanyang Wang, Yanyun Wang, Yanzhe Wang, Yanzhu Wang, Yao Wang, Yaobin Wang, Yaochun Wang, Yaodong Wang, Yaohe Wang, Yaokun Wang, Yaoling Wang, Yaolou Wang, Yaoxian Wang, Yaoxing Wang, Yaozhi Wang, Yapeng Wang, Yaping Wang, Yaqi Wang, Yaqian Wang, Yaqiong Wang, Yaru Wang, Yatao Wang, Yating Wang, Yawei Wang, Yaxian Wang, Yaxin Wang, Yaxiong Wang, Yaxuan Wang, Yayu Wang, Yazhou Wang, Ye Wang, Ye-Ran Wang, Yefu Wang, Yeh-Han Wang, Yehan Wang, Yeming Wang, Yen-Feng Wang, Yen-Sheng Wang, Yeou-Lih Wang, Yeqi Wang, Yezhou Wang, Yi Fan Wang, Yi Lei Wang, Yi Wang, Yi-Cheng Wang, Yi-Chuan Wang, Yi-Ming Wang, Yi-Ni Wang, Yi-Ning Wang, Yi-Shan Wang, Yi-Shiuan Wang, Yi-Shu Wang, Yi-Tao Wang, Yi-Ting Wang, Yi-Wen Wang, Yi-Xin Wang, Yi-Xuan Wang, Yi-Yi Wang, Yi-Ying Wang, Yi-Zhen Wang, Yi-sheng Wang, YiLi Wang, Yian Wang, Yibin Wang, Yibing Wang, Yichen Wang, Yicheng Wang, Yichuan Wang, Yifan Wang, Yifei Wang, Yigang Wang, Yige Wang, Yihan Wang, Yihao Wang, Yihe Wang, Yijin Wang, Yijing Wang, Yijun Wang, Yikang Wang, Yike Wang, Yilin Wang, Yilu Wang, Yimeng Wang, Yiming Wang, Yin Wang, Yin-Hu Wang, Yinan Wang, Yinbo Wang, Yindan Wang, Ying Wang, Ying-Piao Wang, Ying-Wei Wang, Ying-Zi Wang, Yingbo Wang, Yingcheng Wang, Yingchun Wang, Yingfei Wang, Yingge Wang, Yinggui Wang, Yinghui Wang, Yingjie Wang, Yingmei Wang, Yingna Wang, Yingping Wang, Yingqiao Wang, Yingtai Wang, Yingte Wang, Yingwei Wang, Yingwen Wang, Yingxiong Wang, Yingxue Wang, Yingyi Wang, Yingying Wang, Yingzi Wang, Yinhuai Wang, Yining E Wang, Yinong Wang, Yinsheng Wang, Yintao Wang, Yinuo Wang, Yinxiong Wang, Yinyin Wang, Yiou Wang, Yipeng Wang, Yiping Wang, Yiqi Wang, Yiqiao Wang, Yiqin Wang, Yiqing Wang, Yiquan Wang, Yirong Wang, Yiru Wang, Yirui Wang, Yishan Wang, Yishu Wang, Yitao Wang, Yiting Wang, Yiwei Wang, Yiwen Wang, Yixi Wang, Yixian Wang, Yixuan Wang, Yiyan Wang, Yiyi Wang, Yiying Wang, Yizhe Wang, Yong Wang, Yong-Bo Wang, Yong-Gang Wang, Yong-Jie Wang, Yong-Jun Wang, Yong-Tang Wang, Yongbin Wang, Yongdi Wang, Yongfei Wang, Yongfeng Wang, Yonggang Wang, Yonghong Wang, Yongjie Wang, Yongjun Wang, Yongkang Wang, Yongkuan Wang, Yongli Wang, Yongliang Wang, Yonglun Wang, Yongmei Wang, Yongming Wang, Yongni Wang, Yongqiang Wang, Yongqing Wang, Yongrui Wang, Yongsheng Wang, Yongxiang Wang, Yongyi Wang, Yongzhong Wang, You Wang, Youhua Wang, Youji Wang, Youjie Wang, Youli Wang, Youzhao Wang, Youzhi Wang, Yu Qin Wang, Yu Tian Wang, Yu Wang, Yu'e Wang, Yu-Chen Wang, Yu-Fan Wang, Yu-Fen Wang, Yu-Hang Wang, Yu-Hui Wang, Yu-Ping Wang, Yu-Ting Wang, Yu-Wei Wang, Yu-Wen Wang, Yu-Ying Wang, Yu-Zhe Wang, Yu-Zhuo Wang, Yuan Wang, Yuan-Hung Wang, Yuanbo Wang, Yuanfan Wang, Yuanjiang Wang, Yuanli Wang, Yuanqiang Wang, Yuanqing Wang, Yuanyong Wang, Yuanyuan Wang, Yuanzhen Wang, Yubing Wang, Yubo Wang, Yuchen Wang, Yucheng Wang, Yuchuan Wang, Yudong Wang, Yue Wang, Yue-Min Wang, Yue-Nan Wang, YueJiao Wang, Yuebing Wang, Yuecong Wang, Yuegang Wang, Yuehan Wang, Yuehong Wang, Yuehu Wang, Yuehua Wang, Yuelong Wang, Yuemiao Wang, Yueshen Wang, Yueting Wang, Yuewei Wang, Yuexiang Wang, Yuexin Wang, Yueying Wang, Yueze Wang, Yufei Wang, Yufeng Wang, Yugang Wang, Yuh-Hwa Wang, Yuhan Wang, Yuhang Wang, Yuhua Wang, Yuhuai Wang, Yuhuan Wang, Yuhui Wang, Yujia Wang, Yujiao Wang, Yujie Wang, Yujiong Wang, Yulai Wang, Yulei Wang, Yuli Wang, Yuliang Wang, Yulin Wang, Yuling Wang, Yulong Wang, Yumei Wang, Yumeng Wang, Yumin Wang, Yuming Wang, Yun Wang, Yun Yong Wang, Yun-Hui Wang, Yun-Jin Wang, Yun-Xing Wang, Yunbing Wang, Yunce Wang, Yunchao Wang, Yuncong Wang, Yunduan Wang, Yunfang Wang, Yunfei Wang, Yunhan Wang, Yunhe Wang, Yunong Wang, Yunpeng Wang, Yunqiong Wang, Yuntai Wang, Yunzhang Wang, Yunzhe Wang, Yunzhi Wang, Yupeng Wang, Yuping Wang, Yuqi Wang, Yuqian Wang, Yuqiang Wang, Yuqin Wang, Yusha Wang, Yushe Wang, Yusheng Wang, Yutao Wang, Yuting Wang, Yuwei Wang, Yuwen Wang, Yuxiang Wang, Yuxing Wang, Yuxuan Wang, Yuxue Wang, Yuyan Wang, Yuyang Wang, Yuyin Wang, Yuying Wang, Yuyong Wang, Yuzhong Wang, Yuzhou Wang, Yuzhuo Wang, Z P Wang, Z Wang, Z-Y Wang, Zai Wang, Zaihua Wang, Ze Wang, Zechen Wang, Zehao Wang, Zehua Wang, Zekun Wang, Zelin Wang, Zeneng Wang, Zengtao Wang, Zeping Wang, Zexin Wang, Zeying Wang, Zeyu Wang, Zeyuan Wang, Zezhou Wang, Zhan Wang, Zhang Wang, Zhanggui Wang, Zhangshun Wang, Zhangying Wang, Zhanju Wang, Zhao Wang, Zhao-Jun Wang, Zhaobo Wang, Zhaofeng Wang, Zhaofu Wang, Zhaohai Wang, Zhaohui Wang, Zhaojing Wang, Zhaojun Wang, Zhaoming Wang, Zhaoqing Wang, Zhaosong Wang, Zhaotong Wang, Zhaoxi Wang, Zhaoxia Wang, Zhaoyu Wang, Zhe Wang, Zhehai Wang, Zhehao Wang, Zhen Wang, ZhenXue Wang, Zhenbin Wang, Zhenchang Wang, Zhenda Wang, Zhendan Wang, Zhendong Wang, Zheng Wang, Zhengbing Wang, Zhengchun Wang, Zhengdong Wang, Zhenghui Wang, Zhengkun Wang, Zhenglong Wang, Zhenguo Wang, Zhengwei Wang, Zhengxuan Wang, Zhengyang Wang, Zhengyi Wang, Zhengyu Wang, Zhenhua Wang, Zhenning Wang, Zhenqian Wang, Zhenshan Wang, Zhentang Wang, Zhenwei Wang, Zhenxi Wang, Zhenyu Wang, Zhenze Wang, Zhenzhen Wang, Zheyi Wang, Zheyue Wang, Zhezhi Wang, Zhi Wang, Zhi Xiao Wang, Zhi-Gang Wang, Zhi-Guo Wang, Zhi-Hao Wang, Zhi-Hong Wang, Zhi-Hua Wang, Zhi-Jian Wang, Zhi-Long Wang, Zhi-Qin Wang, Zhi-Wei Wang, Zhi-Xiao Wang, Zhi-Xin Wang, Zhibo Wang, Zhichao Wang, Zhicheng Wang, Zhicun Wang, Zhidong Wang, Zhifang Wang, Zhifeng Wang, Zhifu Wang, Zhigang Wang, Zhige Wang, Zhiguo Wang, Zhihao Wang, Zhihong Wang, Zhihua Wang, Zhihui Wang, Zhiji Wang, Zhijian Wang, Zhijie Wang, Zhijun Wang, Zhilun Wang, Zhimei Wang, Zhimin Wang, Zhipeng Wang, Zhiping Wang, Zhiqi Wang, Zhiqian Wang, Zhiqiang Wang, Zhiqing Wang, Zhiren Wang, Zhiruo Wang, Zhisheng Wang, Zhitao Wang, Zhiting Wang, Zhiwu Wang, Zhixia Wang, Zhixiang Wang, Zhixiao Wang, Zhixin Wang, Zhixing Wang, Zhixiong Wang, Zhixiu Wang, Zhiying Wang, Zhiyong Wang, Zhiyou Wang, Zhiyu Wang, Zhiyuan Wang, Zhizheng Wang, Zhizhong Wang, Zhong Wang, Zhong-Hao Wang, Zhong-Hui Wang, Zhong-Ping Wang, Zhong-Yu Wang, ZhongXia Wang, Zhongfang Wang, Zhongjing Wang, Zhongli Wang, Zhonglin Wang, Zhongqun Wang, Zhongsu Wang, Zhongwei Wang, Zhongyi Wang, Zhongyu Wang, Zhongyuan Wang, Zhongzhi Wang, Zhou Wang, Zhou-Ping Wang, Zhoufeng Wang, Zhouguang Wang, Zhuangzhuang Wang, Zhugang Wang, Zhulin Wang, Zhulun Wang, Zhuo Wang, Zhuo-Hui Wang, Zhuo-Jue Wang, Zhuo-Xin Wang, Zhuowei Wang, Zhuoying Wang, Zhuozhong Wang, Zhuqing Wang, Zi Wang, Zi Xuan Wang, Zi-Hao Wang, Zi-Qi Wang, Zi-Yi Wang, Zicheng Wang, Zifeng Wang, Zihan Wang, Ziheng Wang, Zihua Wang, Zihuan Wang, Zijian Wang, Zijie Wang, Zijue Wang, Zijun Wang, Zikang Wang, Zikun Wang, Ziliang Wang, Zilin Wang, Ziling Wang, Zilong Wang, Zining Wang, Ziping Wang, Ziqi Wang, Ziqian Wang, Ziqiang Wang, Ziqing Wang, Ziqiu Wang, Zitao Wang, Ziwei Wang, Zixi Wang, Zixia Wang, Zixian Wang, Zixiang Wang, Zixu Wang, Zixuan Wang, Ziyi Wang, Ziying Wang, Ziyu Wang, Ziyun Wang, Zongbao Wang, Zonggui Wang, Zongji Wang, Zongkui Wang, Zongqi Wang, Zongwei Wang, Zou Wang, Zulong Wang, Zumin Wang, Zun Wang, Zunxian Wang, Zuo Wang, Zuoheng Wang, Zuoyan Wang, Zusen Wang
articles
Wenjun Zhang, Wanjun Liu, Xiaodan Zhong +11 more · 2026 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.124508
APOE
Xiaofeng Ma, Zhaobing Li, Huan Liu +13 more · 2026 · Free radical biology & medicine · Elsevier · added 2026-04-24
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resi Show more
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resistant Acid Phosphatase 5 (ACP5) has been shown to be highly expressed in various cancers and serves as a serum biomarker for extensive bone metastasis and poor prognosis. However, its role and underlying mechanisms in atherosclerosis remain largely unknown. In this study, we found that high-fat diet-fed Apoe Show less
no PDF DOI: 10.1016/j.freeradbiomed.2026.02.035
APOE
Michael R Strickland, Zhen Wang, Lesley R Golden +9 more · 2026 · Journal of lipid research · Elsevier · added 2026-04-24
Apolipoprotein E (ApoE) is the primary, most abundant apolipoprotein of the CNS and plays an important role in brain metabolism and lipid homeostasis. In the CNS, ApoE is primarily secreted by astrocy Show more
Apolipoprotein E (ApoE) is the primary, most abundant apolipoprotein of the CNS and plays an important role in brain metabolism and lipid homeostasis. In the CNS, ApoE is primarily secreted by astrocytes under homeostatic conditions and by microglia in certain disease-related conditions. APOE has three major alleles: APOE2, APOE3, and APOE4. APOE4 is the strongest genetic risk factor for late-onset Alzheimer's disease (AD), and APOE2 results in decreased risk relative to APOE3. ApoE derived from astrocytes and microglia have been hypothesized to play different roles in the disease pathogenesis of AD. In this study, we profiled the lipidome and proteome of ApoE lipoproteins secreted by astrocytes or microglia and found that they differed according to the cellular source of ApoE and the ApoE isoform. Lipidomics revealed that microglia-derived ApoE lipoproteins were enriched in cholesteryl esters, whereas astrocyte ApoE lipoproteins were enriched in SM. Proteomics revealed that astrocyte ApoE lipoproteins were enriched in proteins involved in glucose metabolism and acute phase response. Microglia-secreted lipoproteins were enriched in proteins involved in complement activation, synapse pruning, proteolysis, and the innate immune response. Further comparison of ApoE lipoproteins from APOE4 microglia revealed that ApoE4 lipoproteins were enriched in complement component 1q and Lpl compared with ApoE2 and ApoE3 microglial lipoproteins, which were enriched in Ankk1 (ankyrin repeat and kinase domain containing 1) and apolipoprotein C1. These results provide the molecular foundation for better understanding of how ApoE functions as an apolipoprotein with the lipoprotein cargo being dependent on the cellular source and ApoE isoform, ultimately contributing to CNS homeostasis and disease pathogenesis. Show less
📄 PDF DOI: 10.1016/j.jlr.2026.101000
APOE
Xintao Hu, Xiaoqing Li, Jichong Chen +5 more · 2026 · Cellular signalling · Elsevier · added 2026-04-24
Carotid atherosclerosis is a significant risk factor for cardiovascular and cerebrovascular diseases. Maintaining plaque stability can prevent plaque rupture and thrombus formation, slow disease progr Show more
Carotid atherosclerosis is a significant risk factor for cardiovascular and cerebrovascular diseases. Maintaining plaque stability can prevent plaque rupture and thrombus formation, slow disease progression, and is critically important for preventing cerebrovascular events (such as stroke, transient ischemic attack (TIA), and similar events). Mechanisms influencing plaque stability are still unclear. In this study, stable plaques (n = 5) and unstable plaques (n = 5) were collected from patients and analyzed using RNA-sequencing. 594 differently expressed genes were found by RNA-seq. Pathways enriched by KEGG analysis of differentially expressed genes included inflammation related pathway, cell adhesion related pathway and TGFβ signaling pathway. Especially, we found AMIGO1 was significantly upregulated in stable plaques. Functional assays including cell adhesion, and inflammation-related factor detection revealed that AMIGO1 significantly promotes endothelial cell adhesion while downregulating inflammatory cytokines (e.g., IL-6, IL-1β, TNF-α) production, thereby mitigating inflammatory responses. Co-immunoprecipitation (Co-IP) experiments further found that AMIGO1 interacts with transforming growth factor beta receptor II (TGFRII), stabilizing TGFRII protein levels and subsequently activating the TGFβ signaling pathway. AMIGO1 overexpression with AAV9 virus tail vein injection markedly stabilized plaques in ApoE Show less
no PDF DOI: 10.1016/j.cellsig.2026.112412
APOE
Yiming Li, Wenxin Zou, Yan Zhang +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global mo Show more
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global morbidity and mortality. While Gualou Huoxue Jiedu Decoction (GHJD) has been widely used in clinical practice for the treatment of AS, the molecular mechanisms remain unclear. To investigate the anti-atherosclerotic effects and underlying mechanisms of GHJD. Apoe GHJD alleviated plaque formation, improved lipid metabolism, and suppressed inflammation in vivo. Multi-omics analysis revealed that DNA methylation of Mfap4 could be a pivotal target of GHJD efficacy. In vitro assays confirmed that GHJD suppressed Mfap4 transcription and translation, leading to downregulation of integrin receptor family expression and inhibition of VSMC phenotypic switching. GHJD exerts anti-atherosclerotic effects through epigenetic modulation of Mfap4 and downstream integrin/FAK signaling pathway, thereby inhibiting VSMC phenotypic switching. These findings provide pharmacological evidence supporting GHJD as a potential therapy for AS and, for the first time, validate MFAP4 as a pharmacological target, offering new insights into AS prevention and treatment. Show less
no PDF DOI: 10.1016/j.phymed.2026.157881
APOE
Li Wang, Xiong Jia, Xiangli Bai +7 more · 2026 · Autophagy · Taylor & Francis · added 2026-04-24
Atherosclerosis is attributable to a series of diabetes-related complications. CAV1 (caveolin 1)-mediated low-density lipoprotein (LDL) particle transcytosis across endothelial cells (ECs) is the init Show more
Atherosclerosis is attributable to a series of diabetes-related complications. CAV1 (caveolin 1)-mediated low-density lipoprotein (LDL) particle transcytosis across endothelial cells (ECs) is the initial step of atherosclerosis. MAP1LC3/LC3-interacting regions in the intramembrane domain (IMD) of CAV1 were buried in the caveolae and were not accessible for LC3B interaction, protecting CAV1 from autophagic degradation. However, the CSD domain of CAV1, exposed in the cytosol, directly interacted with a CBM domain of LC3B and inhibited autophagy. Therefore, the peptide IMD-CBM was constructed to induce the selective autophagic degradation of CAV1 and suppress LDL transcytosis in diabetic atherosclerosis. EC-specific expression of IMD-CBM was achieved using adenovirus. IMD-CBM directly interacted with CAV1 and LC3B in ECs, leading to the selective autophagic degradation of CAV1, activation of autophagy, and subsequent inhibition of LDL transcytosis. IMD-CBM promoted the autophagic degradation of CAV1 and consequently reduced the area of atherosclerotic plaques in Show less
no PDF DOI: 10.1080/15548627.2026.2631946
APOE
Isabel Goncalves, Mengyu Pan, Pratibha Singh +14 more · 2026 · European heart journal · Oxford University Press · added 2026-04-24
Atherosclerotic plaques are the leading cause of cardiovascular events. Single-cell approaches have identified diverse human plaque cell phenotypes but their spatial distribution and interactions rema Show more
Atherosclerotic plaques are the leading cause of cardiovascular events. Single-cell approaches have identified diverse human plaque cell phenotypes but their spatial distribution and interactions remain unclear. Here, intercellular communication patterns in human plaque microenvironments were mapped to reveal novel targets to prevent atherosclerotic events. Spatial transcriptomics (Visium, 10x) from 13 carotid plaques, and single-cell transcriptomics (cells = 51 981) were used to analyse cell phenotypes, cell trajectories, and intercellular communications. Cells contributing to plaque stability were explored using deconvolution of plaque bulk RNA-seq data (n = 78), histology, and survival analyses. Key cells and pathways were validated in apolipoprotein E (Apoe)-/- mice and in vitro. Genome-wide association study enrichment analyses were conducted using summary statistics of atherosclerotic diseases. LINCS L1000 data were used to explore drug repurposing. A fibroblast-like vascular smooth muscle cell (VSMC) phenotype associated with extracellular matrix formation pathways (validated in Apoe-/- mice) emerged as a key regulator of intra-plaque ligand-receptor signalling, in particular in the cap region. A higher proportion of fibroblast-like VSMCs was found in asymptomatics, associated with stable plaque features and predicted a lower risk of future events. Genes specific to this VSMC phenotype were enriched in coronary artery disease and myocardial infarction. Finally, compounds, which could induce key marker genes were identified and validated in vitro. This study provides the first comprehensive spatial transcriptomics map of cell communication in human plaque microenvironments. A pivotal role of a fibroblast-like VSMC, orchestrating intraplaque cell signalling and contributing to plaque stability, was identified. Targeting these cells might present promising novel avenues for therapies. Show less
no PDF DOI: 10.1093/eurheartj/ehaf1091
APOE
Yujie Pu, Peihua Dong, Lei He +15 more · 2026 · Circulation research · added 2026-04-24
Atherosclerotic vascular diseases remain the leading cause of death despite the use of lipid-lowering drugs. The development of more efficacious therapies targeting endothelial inflammation and endoth Show more
Atherosclerotic vascular diseases remain the leading cause of death despite the use of lipid-lowering drugs. The development of more efficacious therapies targeting endothelial inflammation and endothelial-to-mesenchymal transition (EndMT) is an essential endeavor, aiming for better treatment outcomes. The increased mutation frequency of the The results of liquid chromatography-mass spectrometry, immunostaining, RNA sequencing, and Western blot in mouse and human arteries with atherosclerotic plaques identified TBK1 as one of the key mediators of EndMT and atherogenesis. Its role was then investigated in endothelium-specific TBK1 knockdown An increased expression of TBK1 was observed by liquid chromatography-mass spectrometry analysis in the aortas of The interaction between activated TBK1 and PAK1IP1 inhibits the binding of PAK1IP1 to PAK1, which, in turn, increases the phosphorylation of PAK1 and ERK1/2 in endothelial cells. This process drives EndMT. Endothelium-specific TBK1 knockdown or GSK8612 treatment inhibits EndMT and plaque formation. Safe TBK1 inhibitors could be developed into effective agents for the treatment of atherosclerotic vascular disease. Show less
no PDF DOI: 10.1161/CIRCRESAHA.125.326815
APOE
Hyun Woong Roh, Yoon Young Chang, Keun You Kim +5 more · 2026 · Psychiatry investigation · added 2026-04-24
This review overviewed the recent paradigm shifts in the diagnosis and management of Alzheimer's disease (AD), emphasizing the 2024 Alzheimer's Association (AA) revised criteria, advances in cerebrosp Show more
This review overviewed the recent paradigm shifts in the diagnosis and management of Alzheimer's disease (AD), emphasizing the 2024 Alzheimer's Association (AA) revised criteria, advances in cerebrospinal fluid (CSF) and blood-based biomarkers (BBMs), and practical considerations for anti-amyloid monoclonal antibody therapy. We conducted a narrative appraisal of consensus frameworks (2018 National Institute on Aging-Alzheimer's Association [NIA-AA] amyloid, tau, and neurodegeneration [AT(N)] and the 2024 AA criteria), clinical practice guidance from AA released in 2025, regulatory status of CSF and BBMs. Intended-use settings (triage vs. confirmatory) of BBMs and implementation of anti-amyloid anti-body treatments (lecanemab or donanemab) in real-world practice in Korea were also reviewed. The 2024 AA criteria define AD biologically and designate A and T as core biomarkers; Core 1 biomarkers can establish AD irrespective of symptoms, whereas Core 2 biomarkers refine staging. A two-cutoff BBM strategy (positive/intermediate/negative) reduces misclassification and guides confirmatory CSF/positron emission tomography (PET) or retesting. BBMs now approach CSF/PET accuracy for amyloid detection, enable triage and, in selected settings, confirmation, and show utility for monitoring treatment response. Integration of clinical stages (1-6) with biological stages (A-D) clarifies syndrome-pathology discordance. Special scenarios-maintenance after induction, APOE ε4 homozygotes, Down syndrome, and serious mental illness-require individualized risk-benefit assessment. In South Korea, constrained access to tau PET and some BBMs necessitates Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision-anchored evaluation with selective biomarker testing. Biomarker-oriented diagnosis and anti-amyloid therapies are reshaping AD care. Priorities include rigorous validation of BBMs across populations, equitable access to core biomarkers, safety strategies, and real-world evidence to implement maintenance and special-population care pathways. Show less
📄 PDF DOI: 10.30773/pi.2025.0400
APOE
Qing Li, Shasha Zhu, Guanyu Chen +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden i Show more
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden in arterial endothelial cells. Interestingly, in vitro studies showed that PCA at physiologically reachable concentrations does not affect inflammation burden in TNF-α-stimulated aortic endothelial cells, whereas it increases the content of exosomal miR-10b secreted by macrophages that have engulfed apoptotic cells (efferocytic macrophages). This study was aimed at investigating whether the in vivo anti-inflammatory effect of PCA in arterial endothelial cells was due to the uptake of efferocytic macrophage exosomal miR-10b. A transwell co-culture system of aortic endothelial cells with efferocytic macrophages was used to evaluate the effect of PCA on NF-κB-mediated inflammation in aortic endothelial cells. An inhibitor of exosome secretion, GW4869, was applied to confirm the role of exosomes played in the anti-inflammatory effect of PCA. The aortic endothelial cells were administrated with exosomes isolated from PCA-treated efferocytic macrophages or miR-10b mimic or antagomir to ascertain the role of miR-10b in downregulating inflammation effect of PCA. Bioinformatics analyses, loss-of- and gain-of-function assays and luciferase reporter gene assays were performed to identify targeting relationship between miR-10b and mitogen-activated protein kinase kinase kinase 7 (MAP3K7)/β-transducin repeat-containing protein (β-TrCP). Besides, Apoe PCA at physiologically reachable concentrations inhibited NF-κB-mediated inflammation in TNF-α-stimulated aortic endothelial cells co-cultured with efferocytic macrophages, in which treatment of GW4869 reversed this effect. Exosomes isolated from PCA-treated efferocytic macrophages inhibited inflammation and increased miR-10b levels in aortic endothelial cells. Mechanistically, exosomal miR-10b post-transcriptionally repressed MAP3K7 and β-TrCP, both of which promote NF-κB activation. Knockdown of Map3k7 and Btrc with siRNA in aortic endothelial cells abolished the inhibitory effects of exosomes isolated from PCA-treated efferocytic macrophages on NF-κB-mediated inflammation. Consistently, oral administration of PCA increased miR-10b level and inhibited Map3k7 and Btrc mRNA expression as well as inflammation in aortic endothelial cells in Apoe Our current findings suggest that PCA could transfer exosomal miR-10b from efferocytic macrophages to endothelial cells and thus inhibit NF-κB-mediated inflammation in arterial endothelial cells through repressing MAP3K7 and β-TrCP, two new targets of miR-10b. Show less
no PDF DOI: 10.1016/j.phymed.2026.157939
APOE
Yuhua Yuan, Bin Liu, Shuhui Chen +3 more · 2026 · Cytokine · Elsevier · added 2026-04-24
Respiratory tract infections (RTIs) remain a major global cause of morbidity, yet the causal role of circulating plasma proteins in RTI susceptibility is unclear. We aimed to systematically identify p Show more
Respiratory tract infections (RTIs) remain a major global cause of morbidity, yet the causal role of circulating plasma proteins in RTI susceptibility is unclear. We aimed to systematically identify plasma proteins that causally influence the risk of upper and lower respiratory tract infections (URTIs, LRTIs) using a proteome-wide Mendelian randomization (MR) framework. We performed two-sample MR analyses using genetic instruments for 2923 plasma proteins from 54,219 UK Biobank participants and outcome data from the FinnGen consortium (97,696 URTI and 28,542 LRTI cases). Colocalization analyses were conducted to confirm shared genetic architecture. Functional enrichment and protein-protein interaction (PPI) analyses were used to elucidate potential biological pathways. We identified 11 plasma proteins with significant causal associations with RTI risk. Four proteins (FKBP1B, GFRA1, UBE2L6, and CSF3) showed consistent effects for both URTI and LRTI, with moderate-to-strong colocalization evidence for UBE2L6 and GFRA1. The remaining seven proteins demonstrated infection-specific associations: YAP1 and MST1 (URTIs), and APOE, IL1RL1, and FKBPL (LRTIs). PPI and Gene Ontology (GO) enrichment analyses highlighted tumor necrosis factor (TNF) as a central hub, with cytokine-cytokine receptor interaction and leukocyte-mediated immunity as dominant pathways. This proteome-wide MR and colocalization study identifies novel plasma proteins and immune pathways implicated in RTI susceptibility, providing insights into potential biomarkers and therapeutic targets for infection prevention and management. Further validation in diverse populations and tissue-specific proteomic studies is warranted. Show less
no PDF DOI: 10.1016/j.cyto.2026.157127
APOE
Mengqi Chu, Ju Wang, Jay M Yarbro +20 more · 2026 · bioRxiv : the preprint server for biology · added 2026-04-24
Alzheimer's disease (AD) is characterized by amyloid plaques that form complex microenvironments in the brain. However, the molecular composition of these plaques and their temporal regulation are not Show more
Alzheimer's disease (AD) is characterized by amyloid plaques that form complex microenvironments in the brain. However, the molecular composition of these plaques and their temporal regulation are not well defined. Here, we developed a sensitive workflow for quantitative proteomic profiling of single plaques using refined laser capture microdissection and data-independent acquisition mass spectrometry (LCM-DIA-MS). From >200 plaques and control regions in AD mouse models (5xFAD and APP-KI) and human brains, we quantified >7,000 proteins, revealing stage-dependent, cell-type-related remodeling of the amyloid proteome (amyloidome). Temporal profiling uncovered early immune and lysosomal activation followed by engagement of RNA processing and synaptic pathways. Cross-model and cross-species analyses determined a conserved amyloidome including APOE, MDK, PTN, and HTRA1, validated by co-localization in imaging analysis. Network analysis highlighted modules in lipid transport, vesicle organization, and autophagy. These findings establish amyloid plaques as conserved, dynamic multicellular hubs that link amyloid accumulation to downstream cellular events. Show less
📄 PDF DOI: 10.64898/2026.02.02.703320
APOE
Yutong Zhang, Lulu Sun, Ying Zhao +7 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
We tested whether inflammation indexed by soluble tumor necrosis factor receptor-1 (sTNFR1) is related to cognitive decline. We examined serum sTNFR1 with cognition in the Health and Retirement Study Show more
We tested whether inflammation indexed by soluble tumor necrosis factor receptor-1 (sTNFR1) is related to cognitive decline. We examined serum sTNFR1 with cognition in the Health and Retirement Study (HRS) and cerebrospinal fluid (CSF) sTNFR1 with tau pathology and magnetic resonance imaging (MRI)-based atrophy in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Finally, we used Mendelian randomization (MR) to assess associations between genetically proxied sTNFR1 and regional brain volumes. Data were from HRS (2016-2020; N = 6028) and ADNI (N = 287). In HRS, serum sTNFR1 was log-transformed (quartiles); in ADNI, CSF sTNFR1 was analyzed. Global cognition included word recall, serial 7 s, and counting backwards. In ADNI, cognition was measured by the Clinical Dementia Rating-Sum of Boxes (CDR-SB); CSF total tau/phosphorylated tau and longitudinal MRI regional volumes were analyzed. Associations were estimated with linear and linear mixed-effects models adjusted for demographic, clinical, and genetic covariates including apolipoprotein E ε4 (APOE ε4). Incident mild cognitive impairment (MCI)/dementia was modeled with cause-specific Cox and Fine-Gray models. Incremental prediction used optimism-corrected change in area under the curve (AUC; ΔAUC), net reclassification improvement (NRI)/integrated discrimination improvement (IDI), calibration, and decision curve analysis. MR used genome-wide association study (GWAS) statistics to test effects of genetically proxied sTNFR1 on MRI-derived regional volumes. In HRS (follow-up 4 years), higher serum sTNFR1 was associated with lower baseline cognition and faster decline in global cognition (β = - 0.16/year). Higher sTNFR1 predicted MCI/dementia (Cox HR ≈ 1.17; Fine-Gray sHR ≈ 1.14); among cognitively normal individuals, risk was elevated (OR = 1.30; 95% CI, 1.03-1.63). Adding sTNFR1 to 2- and 4-year prediction models conferred small discrimination gains after internal validation (ΔAUC ≤ 0.003) and minimal or inconsistent net clinical benefit. In ADNI, higher CSF sTNFR1 was associated with greater CSF total tau and phosphorylated tau, and predicted accelerated caudate atrophy. Exploratory MR suggested a nominal association with reduced right inferior temporal volume, limited by instruments. sTNFR1 is associated with cognitive decline and tau-related selective neurodegeneration, but provides limited incremental predictive value beyond established risk factors; external validation and replication are warranted. Show less
📄 PDF DOI: 10.1186/s12916-026-04623-3
APOE
Zhe Chen, Yifan Tang, Shuang Li +6 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their disti Show more
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their distinct mechanisms and therapeutic responses remain unclear. This study integrated genetic, imaging, and proteomic data to identify key mediators underlying β1-adrenergic receptor blockers (β1-blockers)-related therapeutic heterogeneity between HHD and HCM. Genetic instruments for β1-blockers were derived from two genome-wide association studies and integrated with cardiac magnetic resonance radiomic traits and plasma proteomic data from the UK Biobank, along with disease outcomes from FinnGen. A refined two-stage network Mendelian randomization framework with pleiotropy-robust estimators identified mediators of treatment response. To further elucidate their biological and clinical significance, additional analyses were performed, including drug-target profiling, molecular docking, adverse events (AEs) assessment, and drug prediction. We identified three types of imaging features and ten mediator proteins that contributed to therapeutic responses in HHD and HCM. These mediators were categorized as either mediating (aligned with therapeutic outcomes) or suppressing (opposing therapeutic outcomes). Left ventricular regional radial strain acted as a suppressing factor in HHD but a mediating factor in HCM, whereas end-diastolic and end-systolic volumes consistently showed suppressing effects in both. Regional myocardial wall thickness also exerted a suppressing role in HCM. Among protein mediators, APOE, CGREF1, ITGA5, LSP1, NOS3, and NPPB were linked to HHD, whereas DUSP13, ITGA11, NID1, and SERPINA4 were related to HCM. Specifically, APOE, ITGA5, NOS3, NPPB, DUSP13, and ITGA11 acted as mediating factors, while CGREF1, LSP1, NID1, and SERPINA4 served as suppressing ones. These findings remained robust after pleiotropy adjustment and other genetic analyses. Molecular docking revealed interactions between ADRB1, the β1-blockers target, and downstream proteins, while drug prediction identified eight potential compounds linked to these mediators. Additionally, AE analyses indicated that some targets, such as DUSP13, could both mitigate and aggravate common AEs while contributing to cardiac therapy. This integrative multi-omics analysis revealed distinct imaging and proteomic mechanisms of genetically proxied β1-blockers in HHD and HCM, providing genetic evidence for differential therapeutic responses and highlighting molecular targets for precision cardiovascular therapy. Show less
📄 PDF DOI: 10.1186/s12916-026-04691-5
APOE
Jian'an Pan, Hui Zhang, Xiaozhen He +6 more · 2026 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Immune checkpoint inhibitors (ICIs) have prolonged cancer survival but exacerbated atherosclerotic cardiovascular disease (ASCVD). This research aims to interrogate the underlying mechanism of ICIs-re Show more
Immune checkpoint inhibitors (ICIs) have prolonged cancer survival but exacerbated atherosclerotic cardiovascular disease (ASCVD). This research aims to interrogate the underlying mechanism of ICIs-related atherosclerotic progression and the potential protective effect of Red Yeast Rice (RYR) on it. A tumor-bearing atherosclerotic (TB-AS) mouse model was established by subcutaneously injecting MC38 cells in male ApoE Show less
no PDF DOI: 10.1002/ptr.70261
APOE
Diaohan Xiong, Mengjiao Liu, Zefeng Liu +1 more · 2026 · Journal of neurology · Springer · added 2026-04-24
Structural MRI analysis for Alzheimer's disease (AD) is limited by balancing group-level comparability in standard space with anatomical fidelity in native space. We therefore propose a multi-space, h Show more
Structural MRI analysis for Alzheimer's disease (AD) is limited by balancing group-level comparability in standard space with anatomical fidelity in native space. We therefore propose a multi-space, hybrid-feature framework, integrating radiomics and network metrics from both spaces to classify AD and predict mild cognitive impairment (MCI) progression. An integrated dual-space analytical framework was applied to T1-weighted MRI data. Models were developed on 1,477 participants from Alzheimer's Disease Neuroimaging Initiative (ADNI) and externally tested on an independent cohort of 1,349 participants from National Alzheimer's Coordinating Center (NACC). The framework extracts parallel radiomic and graph-based network features from both Montreal Neurological Institute (MNI) standard space and native space. These features were used to build machine learning models for three-class diagnosis (NC vs. MCI vs. AD) and 6-year prognostic prediction of MCI-to-AD conversion. For each task, the models using standard-space, native-space, and combined-space features were systematically compared. Model interpretation was performed using Shapley Additive Explanations (SHAP), and the features were validated against established AD biomarkers. The combined-space model demonstrated superior performance in both diagnostic classification (Macro-Averaged AUC: 0.96 in ADNI cohort, 0.94 in NACC cohort) and prognostic prediction of MCI-to-AD conversion (C-index: 0.83; HRs: 7.60, 95%CIs: 4.57-12.64). The extracted features in the ADNI cohort demonstrated significant correlations with APOE ε4 genotype, cognitive scores, and CSF biomarkers. Integrating multi-scale features from both standard and native spaces enhances AD diagnosis and prognosis accuracy more effectively than conventional single-space analysis. Show less
📄 PDF DOI: 10.1007/s00415-026-13664-w
APOE
Chaonan Fan, Zhihong Song, Kechun Li +10 more · 2026 · Translational research : the journal of laboratory and clinical medicine · Elsevier · added 2026-04-24
Acute necrotizing encephalopathy (ANE) in children is a critical condition characterized by rapid progression, high mortality rates and potentially cytokine storm imvolvement. Early-stage ANE lacks di Show more
Acute necrotizing encephalopathy (ANE) in children is a critical condition characterized by rapid progression, high mortality rates and potentially cytokine storm imvolvement. Early-stage ANE lacks distinctive clinical features, and its initial symptoms resemble those of febrile seizures (FS) despite differing outcomes. In this study, we utilized FS as a control to identify plasma biomarkers associated with the cytokine storm in ANE through plasma proteomic analysis. We identified 398 differentially expressed proteins in ANE patients, including 345 upregulated and 53 downregulated proteins, which were enriched in biological pathways such as antigen processing and presentation, cell chemotaxis, immune responses, metabolism, and cell matrix adhesion. Using weighted gene co-expression network analysis (WGCNA), we further identified protein modules and hub proteins related to the cytokine storm and ultimately selected eight key proteins (APOE, GAPDH, TPI1, SPP1, ENO1, COL1A1, LUM, and A2M) as immunopathogenic biomarkers. These findings were validated in an independent cohort using targeted quantitative proteomics, with ROC analysis demonstrating their diagnostic potential. This study provides a foundation for early ANE diagnosis and highlights promising targets for therapeutic intervention. Show less
no PDF DOI: 10.1016/j.trsl.2026.02.001
APOE
Wenyan Lu, Keiji Kawatani, Yingxue Ren +12 more · 2026 · Alzheimer's research & therapy · BioMed Central · added 2026-04-24
Growing evidence supports that epigenetic dysregulation through histone deacetylases (HDACs) plays a critical role in synaptic dysfunction and memory loss in Alzheimer’s disease (AD), and that HDACs h Show more
Growing evidence supports that epigenetic dysregulation through histone deacetylases (HDACs) plays a critical role in synaptic dysfunction and memory loss in Alzheimer’s disease (AD), and that HDACs have been highlighted as an attractive class of targets for AD therapy. Moreover, restoring Wnt/β-catenin signaling, which is greatly suppressed in AD brains, is a promising therapeutic strategy. CI-994 is an orally active class I HDAC inhibitor that has undergone several phase II/III clinical trials on cancer treatment. Importantly, CI-994 can cross the blood–brain barrier and is a cognitive enhancer. Wnt activity was initially examined by Wnt reporter activity assay in Wnt3A-expression HEK293 cells, and profiling HDAC inhibition was performed against 10 individual HDACs. Activities of CI-994 on class I HDACs and Wnt/β-catenin signaling were further tested in HEK293 cells, LRP6-expressing HT1080 cells and neuronal SH-SY5Y cells. The therapeutic effects of CI-994 were examined in patient-specific iPSC-derived neurons and cerebral organoids carrying We herein report that CI-994 is not only a potent class I HDAC inhibitor but also an activator of Wnt/β-catenin signaling. Mechanistically, activation of Wnt/β-catenin signaling by CI-994 is associated with stabilizing Wnt co-receptor LRP6 protein and modulating HDAC activity. Importantly, CI-994 significantly increases histone acetylation, activates Wnt/β-catenin signaling, and decreases tau phosphorylation in patient-specific iPSC-derived cerebral organoids carrying Our findings suggest that CI-994 can be repurposed as a novel therapeutic agent for AD therapy. The online version contains supplementary material available at 10.1186/s13195-026-01982-0. Show less
📄 PDF DOI: 10.1186/s13195-026-01982-0
APOE
Zihan Wang, Jun Shi, Ying Liang +7 more · 2026 · Journal of nanobiotechnology · BioMed Central · added 2026-04-24
Chronic obstructive pulmonary disease (COPD) frequently coexists with extrapulmonary comorbidities, most notably cardiovascular diseases (CVD). However, the mechanisms linking COPD to CVD, particularl Show more
Chronic obstructive pulmonary disease (COPD) frequently coexists with extrapulmonary comorbidities, most notably cardiovascular diseases (CVD). However, the mechanisms linking COPD to CVD, particularly atherosclerotic CVD, remain poorly understood. Extracellular vesicles (EVs), as key mediators of inter-organ communication, may participate in this pathological connection. This study aims to determine whether EVs derived from airway epithelial cells (AECs) of individuals with COPD contribute to endothelial dysfunction and atherosclerosis. EVs were isolated from primary airway epithelial cells of COPD patients and matched controls. Their effects on endothelial cell function were assessed in vitro by evaluating inflammation, apoptosis, and monocyte adhesion. ApoE-/- mice were intravenously injected with these EVs to examine their impact on atherosclerotic lesion development. Differentially expressed microRNAs were identified, and the regulatory relationship between miR-141-3p and PDCD4 was validated through molecular assays. Additionally, miR-141-3p supplementation was performed to determine its therapeutic potential in mitigating endothelial injury and atherosclerosis. COPD AECs-derived EVs markedly increased endothelial inflammation, apoptosis, and monocyte adhesion compared with control EVs. In ApoE-/- mice, COPD-derived EVs accelerated the formation of atherosclerotic plaques. Mechanistic analyses revealed that miR-141-3p was significantly downregulated in COPD EVs and directly targeted the 3' untranslated region of PDCD4 to regulate its transcription, leading to dysregulation of PDCD4/NF-κB signaling in endothelial cells. Restoration of miR-141-3p levels in COPD-derived EVs alleviated endothelial injury and reduced atherosclerotic lesion progression both in vitro and in vivo. This study identifies a previously unrecognized mechanism by which COPD AECs-derived EVs may promote atherosclerotic CVD via miR-141-3p-mediated regulation of PDCD4 and subsequent activation of NF-κB signaling. These findings highlight miR-141-3p as a promising therapeutic target to reduce vascular complications in COPD. Show less
📄 PDF DOI: 10.1186/s12951-026-04091-0
APOE
Brenna Cholerton, Dana Godrich, Jeremy Pasteris +28 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
Understanding the genetic foundations of dementia is critical to unraveling its complex molecular basis. Given that a clinical diagnosis of Alzheimer's disease (AD) dementia often results from interpl Show more
Understanding the genetic foundations of dementia is critical to unraveling its complex molecular basis. Given that a clinical diagnosis of Alzheimer's disease (AD) dementia often results from interplay between multiple underlying neuropathologic co-morbidities, previous genome-wide association studies (GWAS) of clinically diagnosed AD are restricted in their ability to translate genetic associations to potential targeted therapeutics. The current study seeks to address these limitations by presenting the largest GWAS to date (n=12,509) of neuropathologic hallmarks of AD and AD related dementias (ADRDs). We further performed a candidate-variant analysis using loci previously identified in GWAS of clinically diagnosed AD dementia and Parkinson's disease (PD). Finally, we conducted heritability and genetic correlation analyses using linkage disequilibrium (LD) score regression. We found broad genome-wide significant associations with Clinically diagnosed Alzheimer's disease (AD) dementia is commonly associated with its hallmark pathologic changes plus neuropathologic features of prevalent co-morbid diseases such as cerebrovascular disease, Lewy body disease, and more recently discovered abnormalities in protein called TDP-43 (collectively, AD related dementias; ADRD). As a result, previous studies that associated clinical diagnosis of AD with specific genes may not tell us the whole story. For this study, we gathered autopsy and genetic data to identify relationships between genes and dementia-associated brain changes. We found some relationships between these diseases and genes that had been previously identified as contributing to clinical dementia, as well as some new relationships that had been previously unknown. We also found that some genes that had previously been identified in relation to AD were associated with different dementia-associated brain lesions. Finally, we found that the various brain lesions differ in the proportion that can be attributed to genetic vs. environmental differences. These results support that the pathway to a diagnosis of dementia can be caused by multiple factors and are an important step in beginning to identify individually based dementia treatments. Show less
no PDF DOI: 10.64898/2026.01.22.26344634
APOE
Shuang Wei, Lei Zhang, Xuan-Ren Wang +6 more · 2026 · Inflammation · Springer · added 2026-04-24
The gradual decline of endothelial function and the intensification of inflammatory responses form the basis for the occurrence and development of age-related diseases such as atherosclerosis (AS). Mi Show more
The gradual decline of endothelial function and the intensification of inflammatory responses form the basis for the occurrence and development of age-related diseases such as atherosclerosis (AS). Mitochondrial dysfunction-manifested by excessive reactive oxygen species (ROS) production, reduced mitochondrial membrane potential, and impaired mitophagic flux-and sterile inflammation are hallmarks of aged vasculature. We investigated whether bolstering mitochondrial quality control via the novel cell-penetrating antioxidant PEP-1-Catalase (CAT) could mitigate these key features of vascular aging. To model age-associated vascular pathology, ApoE⁻/⁻ mice were fed a high-fat diet (HFD) and treated with PEP-1-CAT. Endothelial cell function, plaque burden, and inflammation were analyzed. In vitro, human endothelial cells (HUVECs) were subjected to inflammatory stress and treated with PEP-1-CAT, with or without modulators of mitophagy. We assessed mitochondrial ROS, membrane potential, NOD-like receptor protein 3 (NLRP3) inflammasome activation, and the PINK1-Parkin pathway. PEP-1-CAT treatment significantly ameliorated atherogenesis and improved features of plaque stability in mice. It suppressed vascular oxidative stress, restored mitochondrial membrane potential, enhanced mitophagic flux, and inhibited NLRP3-driven inflammation. In endothelial cells, PEP-1-CAT attenuated mitochondrial oxidative stress and dysfunction. Crucially, it activated the PINK1-Parkin pathway to promote mitophagy, which was essential for its anti-inflammatory effects, as mitophagy inhibition abrogated the suppression of the NLRP3 inflammasome. Our findings demonstrate that targeting mitochondrial health with PEP-1-CAT alleviates hallmarks of atherosclerotic vascular pathology, including endothelial dysfunction and inflammation, by enhancing mitophagy. This strategy of restoring mitochondrial quality control presents a promising therapeutic approach to delay atherosclerotic vascular pathology. Show less
📄 PDF DOI: 10.1007/s10753-026-02463-0
APOE
Liwei Ma, Yihan Wang, Benjamin Goudey +2 more · 2026 · Alzheimer's research & therapy · BioMed Central · added 2026-04-24
This study aimed to identify risk factors and develop statistical models to predict cerebral amyloid angiopathy (CAA). Associations between demographic, cognition, cardiovascular, and AD-related neuro Show more
This study aimed to identify risk factors and develop statistical models to predict cerebral amyloid angiopathy (CAA). Associations between demographic, cognition, cardiovascular, and AD-related neuropathology and CAA were analyzed using data from three longitudinal cohorts of aging and dementia. Logistic regression with LASSO was used for feature selection. Predictive performance was assessed using ROC-AUC and decision curve analysis (DCA). Predictor importance was quantified using Shapley Variable Importance Cloud (ShapleyVIC), which provides a robust estimate of individual feature contribution in prediction. Stratified analyses showed that the strength of association between episodic memory or tau pathology and CAA was greater in males, while the amyloid pathology-CAA association was stronger in females. Among APOE ε4 carriers, the amyloid/tau pathology-CAA associations were pronounced. Episodic memory and amyloid/tau pathology were identified as key factors in our predictive model. DCA demonstrated the model’s clinical utility, and SHAP values confirmed the importance of individual features. We identified sex- and APOE-specific risk factors for CAA and developed models to support CAA risk stratification. The online version contains supplementary material available at 10.1186/s13195-025-01948-8. Show less
📄 PDF DOI: 10.1186/s13195-025-01948-8
APOE
Poonnada Jiraanont, Jun Yi Wang, Blythe Durbin-Johnson +5 more · 2026 · Neurobiology of disease · Elsevier · added 2026-04-24
Fragile X-associated tremor/ataxia syndrome (FXTAS), caused by the FMR1 premutation allele, is associated with brain degeneration, yet the mechanisms behind this neurodegeneration still need to be elu Show more
Fragile X-associated tremor/ataxia syndrome (FXTAS), caused by the FMR1 premutation allele, is associated with brain degeneration, yet the mechanisms behind this neurodegeneration still need to be elucidated. Apoε polymorphism has been widely implicated in brain aging in cognitively healthy individuals and brain deterioration in Alzheimer's disease. This study aimed to examine the interaction of Apoε genotypes, FXTAS clinical symptoms, FMR1 molecular measures, and age, towards brain pathophysiology and cognitive functions. This longitudinal study includes MRI data collected from 205 male premutation carriers with and without FXTAS clinical symptoms and compared to 86 healthy male controls aged 40-85 years. The investigation includes FXTAS-related brain volumes, IQ, self-control behaviors, FMR1 molecular measures, and Apoε genotypes. In carriers with FXTAS, the presence of the Apoε2 allele showed a possible association with more favorable neuroimaging markers, such as reduced white matter hyperintensities, and lower incidence of the middle cerebellar peduncle sign, patterns that were not observed in carriers without FXTAS. Specifically, the presence of Apoε2 allele exhibited a potential protective effect on brain degeneration, and cognitive functions among FXTAS patients; on the contrary, the Apoε4 allele was associated with a worsening of brain volume and brain degeneration in carriers with no FXTAS symptoms. The identification of Apoε genotypes in FMR1 premutation carriers before any clinical symptoms of FXTAS are observed may improve symptomatic management leading to better outcomes for these individuals. Show less
no PDF DOI: 10.1016/j.nbd.2026.107292
APOE
Luzheng Zhang, Yu Zhang, Dezhong Wen +7 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Abdominal aortic aneurysm (AAA) is a life-threatening condition with limited pharmacological therapies. The pathological progression of AAA is closely attributed to the phenotypic switching of vascula Show more
Abdominal aortic aneurysm (AAA) is a life-threatening condition with limited pharmacological therapies. The pathological progression of AAA is closely attributed to the phenotypic switching of vascular smooth muscle cells (VSMCs). NFS1 is the rate-limiting enzyme for the synthesis of iron-sulfur proteins, and the roles of NFS1 in AAA initiation and development have not been explored. Angiotensin II (Ang II) infusion-induced AAA animal model with Apoe Show less
📄 PDF DOI: 10.1002/advs.202505240
APOE
Yubo Wang, Stuart A Lipton · 2026 · Journal of neurochemistry · Blackwell Publishing · added 2026-04-24
Neurodegenerative disorders such as Alzheimer's disease (AD), Parkinson's disease/Lewy body dementia (PD/LBD), and amyotrophic lateral sclerosis/frontotemporal dementia (ALS/FTD) are driven by complex Show more
Neurodegenerative disorders such as Alzheimer's disease (AD), Parkinson's disease/Lewy body dementia (PD/LBD), and amyotrophic lateral sclerosis/frontotemporal dementia (ALS/FTD) are driven by complex interactions of genetic and environmental factors. While genome wide association studies (GWAS) have uncovered a number of risk gene variants (e.g., APOE, SNCA [encoding α-synuclein], and protein disulfide isomerase [PDI]), these genetic factors alone cannot fully explain disease onset or progression. Emerging evidence suggests that post-translational modifications of proteins, particularly S-nitrosylation (SNO), act as a critical link between environmental stress and neurodegenerative pathology. Here, we review data showing that while physiological protein SNO regulates diverse neuronal processes, aberrant SNO, occurring very commonly in the diseased brain, can disrupt protein function in ways that mimic the deleterious effects of rare genetic mutations. We advance the concept of "mutational mimicry," whereby aberrant SNO of key neuronal or glial proteins reproduces the functional consequences of known specific genetic mutations, ultimately converging on common pathways of synaptic dysfunction emanating from mitochondrial and metabolic impairment, proteostasis, neuroinflammation, and so on. Supporting this framework, proteomic analyses show significant overlap between abnormally S-nitrosylated proteins in diseased brains and known genetic risk factors in AD and PD/LBD as well as in ALS. By linking redox biology to human genetics, this review highlights how environmental factors can phenocopy or enhance genetic susceptibilities. Understanding this convergence not only provides novel insight into disease mechanisms but also suggests new therapeutic targets to intervene in these convergent pathways with the goal of halting neurodegenerative processes. Show less
📄 PDF DOI: 10.1111/jnc.70365
APOE
Xuelian Gao, Fengying Wang, Hongli Duan +5 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Diabetic atherosclerosis (DA), characterized by disordered glucose and lipid metabolism, represents a significant metabolic vascular complication. Tangzhiqing (TZQ) has traditionally been used to trea Show more
Diabetic atherosclerosis (DA), characterized by disordered glucose and lipid metabolism, represents a significant metabolic vascular complication. Tangzhiqing (TZQ) has traditionally been used to treat diabetes and its complications. However, its material basis and mechanism for DA remain require further investigation. This research aimed to systematically elucidate the pharmacological material basis and underlying mechanism of the traditional Chinese medicine TZQ in diabetic atherosclerosis model mice. This study established UPLC-MS/MS and UPLC-Q-TOF/MS methods to detect composition and content of TZQ in vivo and in vitro, with pharmacokinetic analysis determining plasma concentration changes of representative components. DA model was induced by western diet and streptozotocin injection in ApoE 118 compounds were identified from TZQ. It contains categories such as organic acids, quinones, flavonoids, alkaloids, and terpenoids. Among them, 39 compounds were absorbed into bloodstream. Pharmacokinetic analysis demonstrated that 18 compounds were effectively absorbed into plasma with appropriate bioavailability. Pharmacodynamic results demonstrated that TZQ significantly alleviated hyperglycemia, hyperlipidemia, and aortic pathology in DA mice. Metabolomics and network pharmacology suggested the anti-DA effects were associated with bile acid metabolism. Targeted analysis confirmed TZQ restored high-fat-diet-induced bile acid metabolic imbalance. 16S rRNA sequencing revealed TZQ modulated gut microbiota dysbiosis, specifically regulating bile acid metabolism-related genera (e.g., Desulfovibrio, Bacteroides, Lactobacillus). The WB results showed that TZQ enhanced the expression of FXR, SHP and CYP7A1 in liver. Molecular docking proved that the bioactive compounds of TZQ exhibits favorable affinity for both FXR and CYP7A1. The study provided a comprehensive detection of in vitro and in vivo constituents and pharmacokinetic profile of TZQ, establishing a foundation for further exploration of its pharmacologically active components. TZQ alleviated DA by regulating the gut microbiota and bile acid metabolism. These results created a new perspective for the management of DA. Show less
no PDF DOI: 10.1016/j.jep.2026.121290
APOE
Dao-Xin Wang, Pin Wang, Zhu-Wei Miao +8 more · 2026 · Pharmacological research · Elsevier · added 2026-04-24
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative i Show more
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative importance of endothelial METRNL in atherosclerosis by comparing the effects of whole-body METRNL deficiency to endothelial-specific deficiency, and to show the subcellular distribution of endothelial METRNL and its role in mitochondrial homeostasis against atherosclerosis. Our study demonstrated that a deficiency in either endothelial or global METRNL exacerbated atherosclerosis to a similar degree in both spontaneous (age-related) and high fat diet-induced atherosclerosis, suggesting that endothelial METRNL is pivotal in the progression of atherosclerosis due to METRNL deficiency. Endothelial METRNL was diffusely distributed in the cytoplasm with subcellular localization to mitochondria, nucleus, endoplasmic reticulum, and Golgi apparatus (especially enriched in mitochondria and nucleus). In both an in vivo apolipoprotein E-deficient (ApoE Show less
no PDF DOI: 10.1016/j.phrs.2026.108123
APOE
Rundong Cai, Xin Chen, Hongxia Zhang +5 more · 2026 · Precision clinical medicine · Oxford University Press · added 2026-04-24
Smooth muscle cells (SMCs) exhibit remarkable plasticity, undergoing extensive phenotypic switching to generate a highly heterogeneous population within atherosclerotic plaques. While recent studies h Show more
Smooth muscle cells (SMCs) exhibit remarkable plasticity, undergoing extensive phenotypic switching to generate a highly heterogeneous population within atherosclerotic plaques. While recent studies have highlighted the contribution of SMC-derived macrophage-like cells to plaque inflammation, the specific molecular drivers governing the transition to these pathogenic states remain poorly understood. Here, we re-analyzed single-cell RNA sequencing data from lineage-traced mice to dissect SMC heterogeneity during atherogenesis. Trajectory analysis revealed that SMCs transdifferentiate into a distinct pro-inflammatory macrophage-like subpopulation (macrophage 4) via an intermediate "stem-endothelial-monocyte" cell state. Integrated gene regulatory network inference and Clinically, IRF7 expression was significantly upregulated in unstable and advanced human atherosclerotic plaques, correlating strongly with inflammatory macrophage burden. These findings identify IRF7 as a critical checkpoint in maladaptive SMC phenotype switching. We demonstrate that IRF7 drives the transdifferentiation of SMCs into a pro-inflammatory macrophage-like state, thereby fueling plaque instability. Consequently, therapeutic strategies capable of inhibiting IRF7-mediated SMC plasticity may prove effective in stabilizing vulnerable atherosclerotic plaques. Show less
📄 PDF DOI: 10.1093/pcmedi/pbaf039
APOE
Mingqiang Wang, Dan Yang, Yiming Ma +6 more · 2026 · Stem cell research & therapy · BioMed Central · added 2026-04-24
Extracorporeal cardiac shock wave (ECSW) therapy enhances the function of endothelial colony-forming cells (ECFCs), but whether it can serve as a preconditioning strategy to enhance myocardial infarct Show more
Extracorporeal cardiac shock wave (ECSW) therapy enhances the function of endothelial colony-forming cells (ECFCs), but whether it can serve as a preconditioning strategy to enhance myocardial infarction (MI) therapy remains unclear. This study investigated the efficacy and mechanism of intravenously delivered ECSW-preconditioned ECFCs (SW-ECFCs) in a rat MI model. ECFCs were isolated from the bone marrow of ApoE Transcriptomic analysis revealed significant enrichment of the PI3K/AKT pathway in SW-ECFCs. Functionally, ECSW enhanced ECFCs migration, tube formation, proliferation, and VEGF-A secretion, while reducing apoptosis; these effects were largely abolished by PI3K inhibition. In vivo, serum levels of CK, CK-MB, and LDH were significantly elevated in all MI groups compared to the Sham group (P < 0.01), indicating comparable initial injury. However, no significant differences were observed among treatment groups (P > 0.05). SW-ECFCs transplantation significantly improved cardiac function, reduced infarct size, fibrosis, and apoptosis, and enhanced angiogenesis (P < 0.05). These benefits were associated with increased levels of p-AKT, p-eNOS, and BCL-2 protein as well as nitric oxide content, while suppressing the expression of cleaved caspase-3 (P < 0.05). Crucially, all these therapeutic benefits were largely abolished by PI3K inhibition. In conclusion, this study demonstrates that preconditioning ECFCs with ECSW significantly enhances their therapeutic efficacy for myocardial infarction, improving both cardiac function and structural repair. These benefits are mediated primarily through activation of the PI3K/AKT signaling pathway, which augments cell homing, paracrine activity, and survival, thereby providing a novel and promising strategy for cardiac regeneration. Show less
📄 PDF DOI: 10.1186/s13287-026-04913-w
APOE
Hongjin Zhang, Wencheng Yan, Jiayuan Ling +5 more · 2026 · Atherosclerosis · Elsevier · added 2026-04-24
Calcific aortic valve disease (CAVD) involves pathological mineralization, but the roles of chemokine signaling and ferroptosis remain unclear. This study investigated the regulatory function of C-C m Show more
Calcific aortic valve disease (CAVD) involves pathological mineralization, but the roles of chemokine signaling and ferroptosis remain unclear. This study investigated the regulatory function of C-C motif chemokine ligand 5 (CCL5) in CAVD progression via the chemokine pathway and ferroptosis. Bioinformatics analysis and single-cell RNA sequencing analysis were performed to identify hub genes and potential cell types. Human aortic valve interstitial cells (VICs) were treated with osteogenic medium (OM) to induce calcification. Apoe CCL5 was identified as a key hub gene in CAVD. Knockdown of CCL5 significantly attenuated OM-induced VICs calcification, osteogenic differentiation, oxidative stress, and ferroptosis. Similar protective effects were observed in vivo, with reduced valve thickening and calcification in Apoe CCL5 promoted CAVD progression by activating the chemokine signaling pathway to induce ferroptosis. Targeting CCL5 may offer a novel therapeutic strategy for CAVD. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2026.120640
APOE