👤 Sophie H 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, 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, Xueyi 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
Na Li, Keying Chen, Bin Nie +14 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Depression has emerged as a concerning factor in colon cancer progression and treatment, yet its underlying mechanisms and therapeutic targets remain poorly defined. This study aimed to elucidate how Show more
Depression has emerged as a concerning factor in colon cancer progression and treatment, yet its underlying mechanisms and therapeutic targets remain poorly defined. This study aimed to elucidate how depression affects colon cancer progression and chemotherapeutic response, and to explore potential molecular targets and therapeutic interventions involving the traditional Chinese medicine formula Sinisan (SNS) and its bioactive component Quercetin. A mouse model combining depression and colon cancer was established to evaluate behavioral alterations, tumor progression, and pathological features. RNA sequencing was performed to screen the differentially expressed genes. The effects of corticosterone (CORT) on proliferation, colony formation, migration, and GSTM2 expression were examined in HCT116 cells, followed by functional validation through GSTM2 overexpression and inhibition assays. Molecular docking, molecular dynamics simulations, and surface plasmon resonance (SPR) were used to validate the binding of Quercetin to GSTM2. The therapeutic efficacy of SNS and Quercetin was assessed with respect to depressive symptoms, serum BDNF levels, NLRP3 inflammasome activity, and the potency of 5-fluorouracil (5-FU) chemotherapy. Mice with depression and colon cancer exhibited aggravated depressive behaviors and accelerated tumor progression. RNA-sequencing and network pharmacology analyses identified GSTM2 as a promising candidate target in colon cancer treatment, which was markedly down-regulated in the DP-CC group. CORT enhanced proliferation, colony formation, and migration of HCT116 cells while simultaneously suppressing GSTM2 expression. Conversely, GSTM2 levels negatively correlated with cell proliferation, colony formation, and chemoresistance in HCT116 cells. Treatment with SNS alleviated depressive symptoms, elevated serum BDNF, reduced NLRP3 inflammasome activity, and potentiated the efficacy of 5-FU chemotherapy. Quercetin, a bioactive component of SNS, bound to GSTM2 through hydrogen-bond and van-der-Waals interactions, up-regulated GSTM2 expression, and mitigated CORT-induced proliferation, colony formation, and chemoresistance. Our findings suggest that depression promotes colon-cancer progression by down-regulating GSTM2, whereas SNS restores GSTM2 expression and enhances chemotherapeutic response. Show less
no PDF DOI: 10.1016/j.phymed.2026.158113
BDNF cancer progression chemoresistance chemotherapy colon cancer depression gst
Xucong Huang, Shikai Yan, Fugen Li +7 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Anshen Bunao Syrup (ABS), a traditional Chinese medicinal formula, is widely used to treat neurological disorders such as insomnia, dizziness, and neurasthenia. However, its antidepressant effect and Show more
Anshen Bunao Syrup (ABS), a traditional Chinese medicinal formula, is widely used to treat neurological disorders such as insomnia, dizziness, and neurasthenia. However, its antidepressant effect and underlying mechanisms remain insufficiently characterized. This study aims to comprehensively evaluate the antidepressant effect of ABS in a rat model, and to elucidate the underlying mechanism. Chronic unpredictable mild stress (CUMS) induced depressive rats were used to evaluate the antidepressant effect of ABS. Histopathological alterations in the hippocampus and colonic mucosa were examined using Nissl and H&E staining. Microglial activation was evaluated by Iba-1 immunohistochemical staining. Gut microbiota composition and metabolic profiles were analyzed using 16S rRNA sequencing and untargeted metabolomics. Differential gene expression and pathway regulation were investigated by transcriptomics and confirmed by Western Blot (WB). ABS significantly ameliorated depressive-like behaviors and elevated dopamine and 5-Hydroxytryptamine levels in cortical regions. Furthermore, ABS mitigated hippocampal neuronal damage, suppressed microglial overactivation and reduced oxidative stress in the cortex. 16S rRNA sequencing analysis showed that ABS exerted antidepressant effects via modulation of the "microbiota-gut-brain" axis, particularly by altering intestinal microbiota composition, enhancing gut function, and suppressing HPA axis hyperactivity. Metabolomics revealed that ABS corrected metabolic disturbances, and alleviated inflammation-related metabolic disturbances, while transcriptomics indicated regulation of the Npas4-BDNF-PI3K/AKT signaling pathway, which was further confirmed by WB. ABS significantly ameliorated depression in a CUMS rat model, primarily through coordinated regulation of gut microbiota, metabolic homeostasis, and the Npas4-BDNF-PI3K/AKT signaling pathway, providing integrative mechanistic insights into its antidepressant effects. Show less
no PDF DOI: 10.1016/j.phymed.2026.158167
BDNF antidepressant depression metabolomics microbiomics neuroinflammation neuroscience rat model
Fanchang Wang, Yuxin Ni, Xiaoming He · 2026 · Journal of pediatric urology · Elsevier · added 2026-04-24
no PDF DOI: 10.1016/j.jpurol.2026.105907
BDNF bdnf biomarkers ngf overactive bladder urinary biomarkers voiding dysfunction
Huaibing Wang, Hongxia Tao, Minlan Yuan +1 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Depression is increasingly recognized as a disorder involving immune brain interactions beyond classical monoaminergic dysfunction. Among immune components, T cells have emerged as key regulators link Show more
Depression is increasingly recognized as a disorder involving immune brain interactions beyond classical monoaminergic dysfunction. Among immune components, T cells have emerged as key regulators linking peripheral immune dysregulation to central neuroinflammation and impaired neuroplasticity. Accumulating clinical and preclinical evidence indicates that alterations in T cell subsets, including regulatory T cells, Th1 cells, and Th17 cells, contribute to depressive pathophysiology through coordinated effects on blood-brain barrier permeability, glial activation, cytokine signaling, and neurotrophic support. This review synthesizes current evidence on the mechanisms by which T cells migrate into the central nervous system and modulate depressive behaviors. Particular emphasis is placed on the T cell regulation of brain derived neurotrophic factor signaling, and a role for T cell derived extracellular vesicles as modulators of immune neural communication and neuroplasticity. Finally, we discuss the therapeutic implications of targeting T cells in depression, including modulation of T cell subset balance, cytokine-based interventions, microbiota immune regulation, and inhibition of pathogenic T cell trafficking into the brain. Together, these findings position T cells as central orchestrators of immune neural crosstalk and promising targets for mechanism informed immunotherapies in depression. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1780383
BDNF
Jilin Wang, Huamao Zhou · 2026 · Neuropeptides · Elsevier · added 2026-04-24
Diabetic neuropathic pain (DNP) is a common and debilitating complication of diabetes that profoundly reduces patient quality of life. Despite extensive research, current treatments remain largely sym Show more
Diabetic neuropathic pain (DNP) is a common and debilitating complication of diabetes that profoundly reduces patient quality of life. Despite extensive research, current treatments remain largely symptomatic, with limited efficacy and significant side effects. Microglia act as pivotal mediators of DNP through RAGE/TLR4/NLRP3-driven IL-1β and BDNF release that amplifies spinal pain signaling. Microglia respond directly to hyperglycemia-induced cues such as advanced glycation end-products, reactive oxygen species, ATP, and pro-inflammatory signals, becoming activated and releasing cytokines, chemokines, and neuromodulators including BDNF that amplify spinal pain signaling. This review synthesizes recent insights into the molecular triggers of microglial activation such as RAGE, TLRs, purinergic receptors, and inflammasomes and the downstream intracellular pathways including NF-κB, MAPK, PI3K/Akt, and BDNF-TrkB that drive neuroinflammation. We further examine neuroimmune crosstalk, including bidirectional microglia-neuron and microglia-astrocyte signaling, which sustains central sensitization. Translational studies linking these pathways to human DNP are evaluated, along with novel technologies that illuminate microglial phenotypes. Emerging therapeutic strategies focus on inhibition of these pathways, including RAGE antagonists and purinergic receptor blockers. However, a critical translational gap persists owing to insufficient human validation of microglial biomarkers and the limited fidelity of current animal models. By integrating basic and clinical findings, we underscore the promise of microglia-focused interventions to complement traditional analgesics and ultimately improve outcomes in DNP patients. Show less
no PDF DOI: 10.1016/j.npep.2026.102612
BDNF diabetes diabetic neuropathic pain hyperglycemia inflammation microglial activation neuroimmune crosstalk neuropathy
Xinyi Fang, Chi Liao, Jiamin Wan +6 more · 2026 · International journal of biological sciences · added 2026-04-24
Orthodontic tooth movement (OTM) is a biomechanically driven process governed by dynamic cellular and molecular signaling interactions between neural and skeletal systems. This review synthesizes curr Show more
Orthodontic tooth movement (OTM) is a biomechanically driven process governed by dynamic cellular and molecular signaling interactions between neural and skeletal systems. This review synthesizes current evidence on neuron-bone cell crosstalk and the coordinated involvement of immune and vascular components in regulating alveolar bone remodeling during OTM. Key neural contributors include sensory neurons (nociceptors), autonomic neurons, central nervous system (CNS) circuits, and Schwann cells, which communicate with osteoblasts, osteoclasts, and periodontal ligament cells to modulate their proliferation, differentiation, and functional activity. These interactions are mediated by defined signaling pathways, including neuropeptide signaling (CGRP-CLR, SP-NK1, NGF-TrkA, BDNF-TrkB), axon guidance signaling (Sema3A-PlexinA/Nrp1), adrenergic signaling (β2-AR-dependent pathways), and intracellular cascades such as Rac1-β-catenin, RhoA/ROCK2, and Notch3. Sensory nerves function as primary initiators by releasing neuropeptides that promote osteoclastogenesis in pressure zones and osteogenesis in tension zones, while simultaneously shaping local immune responses and vascular remodeling. The autonomic nervous system exerts context-dependent regulation, with sympathetic signaling favoring bone resorption and parasympathetic pathways emerging as modulators of osteogenesis and neurovascular homeostasis. CNS circuits integrate sensory and autonomic inputs to coordinate OTM kinetics and pain perception. Together, these neuro-osteogenic signaling networks define mechanistic targets for improving orthodontic outcomes and pain management via neuromodulation. Show less
📄 PDF DOI: 10.7150/ijbs.129449
BDNF
Leqi Gao, Jiazhao Song, Moze Zhao +7 more · 2026 · Frontiers in neurology · Frontiers · added 2026-04-24
Post-stroke depression (PSD) is a common neuropsychiatric complication affecting 30-50% of stroke survivors, impairing rehabilitation, quality of life, and prognosis. This narrative review synthesizes Show more
Post-stroke depression (PSD) is a common neuropsychiatric complication affecting 30-50% of stroke survivors, impairing rehabilitation, quality of life, and prognosis. This narrative review synthesizes recent evidence on PSD pathogenesis (neurotransmitter dysregulation, neuroinflammation, impaired neuroplasticity; psychosocial factors such as stress and social support deficits; gene-environment interactions including 5-HTT and BDNF polymorphisms), clinical interventions (pharmacotherapy with SSRIs/SNRIs, psychotherapy including CBT, neuromodulation via rTMS/tDCS/ECT, novel agents such as ketamine, and multidisciplinary models), and prevention (risk stratification, early screening with PHQ-9/HAMD, personalized biological/psychosocial strategies, and digital monitoring). Despite gaps in long-term data and validated biomarkers, multidisciplinary integrated care and precision medicine approaches offer promising avenues to optimize screening, early intervention, prevention, and long-term outcomes for stroke survivors. Show less
📄 PDF DOI: 10.3389/fneur.2026.1789695
BDNF
Xue-Yan Li, Yun-Zhoug Cheng, Yue-Ming Zhang +4 more · 2026 · Brain and behavior · Wiley · added 2026-04-24
Gestational intermittent hypoxia (GIH), which serves as a model for obstructive sleep apnea (OSA), is associated with adverse maternal and neonatal outcomes, especially cognitive impairments in offspr Show more
Gestational intermittent hypoxia (GIH), which serves as a model for obstructive sleep apnea (OSA), is associated with adverse maternal and neonatal outcomes, especially cognitive impairments in offspring. Growing evidence supports that the anti-inflammatory actions of melatonin significantly influence the peripartum environment and contribute to the mitigation of neurodegeneration. However, the full impact of GIH on offspring cognition and the molecular mechanisms by which melatonin modulates these effects remain uncertain. Thus, in this study, we explored the neurobiological changes in GIH-exposed offspring and the mechanism underlying maternal melatonin supplementation in preventing these alterations using a murine model. C57BL/6J mice were exposed to GIH between gestational Days 15 and 21. Concurrently, dams received either vehicle or melatonin. The Morris water maze test was employed to evaluate offspring cognitive function, after which the offspring were euthanized at 2 months of age. The hippocampal levels of glial markers (ionized calcium-binding adapter molecule 1 [Iba-1], glial fibrillary acidic protein [GFAP]), NOD-like receptor thermal protein domain-associated protein 3 [NLRP3], nuclear factor-kappa B [NF-κB], tight-junction proteins (zonula occludens-1 [ZO-1], occludin), and synaptic plasticity-related proteins (brain-derived neurotrophic factor [BDNF], tropomyosin receptor kinase B [TrkB], postsynaptic density protein 95 [PSD-95], synaptophysin [SYN]) were quantified by enzyme-linked immunosorbent assay and western blot. Maternal melatonin supplementation significantly attenuated learning and memory impairments, reduced the protein levels of Iba-1 and GFAP by suppressing NLRP3/NF-κB signaling, and elevated those of ZO-1, occludin, BDNF, TrkB, PSD-95, and SYN. Additionally, melatonin mitigated inflammatory responses, glial cell activation, blood-brain barrier (BBB) leakage, and synaptic dysfunction induced by GIH in mice. Our results demonstrated that GIH-exposed mice exhibit cognitive deficits, alongside neuroinflammatory responses, leading to inflammasome activation, glial reactivity, BBB breakdown, and synaptic deficits. However, melatonin exerted significant protective effects against these deleterious effects. Show less
no PDF DOI: 10.1002/brb3.71321
BDNF blood-brain barrier cognitive impairment gestational intermittent hypoxia melatonin neurodegeneration neuroinflammation obstructive sleep apnea
Yi Wei, Bo Ning, Shengjie Wang +5 more · 2026 · Journal of integrative neuroscience · added 2026-04-24
Premature ejaculation (PE) accompanied by anxiety or depression is a complex clinical condition at the intersection of male reproductive dysfunction and emotional disorders. Increasing evidence sugges Show more
Premature ejaculation (PE) accompanied by anxiety or depression is a complex clinical condition at the intersection of male reproductive dysfunction and emotional disorders. Increasing evidence suggests that serotonin (5-HT) and brain-derived neurotrophic factor (BDNF) play central and interrelated roles in its pathogenesis. In this review we examine the bidirectional functions of 5-HT and BDNF in both the reproductive and nervous systems, highlighting their importance in regulating ejaculation, emotional stability, and synaptic plasticity. A comprehensive literature search (2010-2025) was conducted across multiple databases using relevant Medical Subject Headings (MeSH) terms, including pertinent original research and review articles, to synthesize the roles and regulatory pathways of 5-HT and BDNF in PE with comorbid anxiety or depression. We summarize the shared and distinct roles of 5-HT and BDNF in maintaining physiological balance across these systems and focus on their involvement in the major pathological processes underlying PE with anxiety or depression, including neurotransmitter imbalance, neuroendocrine dysregulation, inflammation, and oxidative stress. Furthermore, we outline the related signaling pathways through which 5-HT and BDNF exert their effects and interact. We also evaluate current pharmacological and non-pharmacological interventions targeting these molecules, demonstrating their potential to improve both ejaculatory control and emotional symptoms, and critically appraise selective serotonin reuptake inhibitor (SSRI)-related risks and highlighted the need for individualized dosing and monitoring. Emerging evidence suggests that Traditional Chinese Medicine formulations can extend intravaginal ejaculatory latency and mitigate mood symptoms and may serve as stand-alone or adjunctive options to reduce reliance on selective serotonin reuptake inhibitors (SSRIs). Overall, 5-HT and BDNF are not only deeply involved in the biological mechanisms of PE with comorbid psychological disorders, but also represent promising biomarkers and therapeutic targets, and their integrative neuro-reproductive regulatory functions provide new insights into the diagnosis and treatment of this multifaceted condition. Show less
📄 PDF DOI: 10.31083/JIN45471
5-ht BDNF anxiety bdnf depression neurotrophic factor premature ejaculation serotonin
Tao Xu, Qiang Gan, Handong Wang +2 more · 2026 · Brain and behavior · Wiley · added 2026-04-24
Researchers have postulated a link between higher levels of brain-derived neurotrophic factor (BDNF) and more favorable outcomes in patients with normal pressure hydrocephalus (NPH). However, there is Show more
Researchers have postulated a link between higher levels of brain-derived neurotrophic factor (BDNF) and more favorable outcomes in patients with normal pressure hydrocephalus (NPH). However, there is no clear evidence regarding the causal association between neurotrophins and NPH. To delve deeper into this potential connection, scientists employed a rigorous method known as bidirectional Mendelian randomization (MR). This technique was utilized to explore the causal impact of various neurotrophins-such as BDNF, nerve growth factor (NGF), neurotrophin-3 (NT-3), NT-4, ciliary neurotrophic factor (CNTF), and glial cell line-derived neurotrophic factor (GDNF)-on the development or progression of NPH. To investigate the causal relationship between five neurotrophin subtypes and NPH, we designed a two-sample Mendelian randomization (MR) study using comprehensive genome-wide association study (GWAS) data. Our primary approach involved the inverse-variance weighted (IVW) method. We also conducted reverse causality analysis to ensure robustness. Furthermore, we implemented complementary methods like the weighted median (WM), weighted mode, and MR-Egger to strengthen our findings. Sensitivity analyses, including MR-Egger, MR-PRESSO, leave-one-out, and Cochran's Q tests, were employed to validate results, explore heterogeneity and pleiotropy, and pinpoint potential biases. MR analysis of genetic prediction showed no statistical association of neurotrophins on NPH. However, a reverse analysis indicated a causal association between NPH and two neurotrophins: CNTF and GDNF. Specifically, individuals with NPH had a lower risk of CNTF (odds ratio: 0.7963, with a 95% confidence interval of 0.6537 to 0.9701, p = 0.0237) and a slightly reduced risk of GDNF (odds ratio: 0.9576, with a 95% confidence interval of 0.9226 to 0.9940, p = 0.0230). MR-Egger regression showed that pleiotropy did not affect the analysis. In addition, MR-PRESSO detected no outliers, and a leave-one-out analysis verified the robustness of the results. NPH was negatively and causally associated with CNTF and GDNF. Additional research is crucial to uncover the underlying mechanisms and devise strategies, including nutritional guidelines, to prevent NPH. Show less
no PDF DOI: 10.1002/brb3.71309
BDNF bdnf causal relationship hydrocephalus mendelian randomization neurotrophic factor neurotrophins normal pressure hydrocephalus
Albert H C Wong, Le Wang, Yuan Shen +1 more · 2026 · Neuroscience bulletin · Springer · added 2026-04-24
Post-traumatic stress disorder (PTSD) causes debilitating nightmares, flashbacks and anxiety stemming from a catastrophic, often life-threatening traumatic event. Originally described in soldiers expo Show more
Post-traumatic stress disorder (PTSD) causes debilitating nightmares, flashbacks and anxiety stemming from a catastrophic, often life-threatening traumatic event. Originally described in soldiers exposed to the horrors of battle, PTSD is now recognized in civilian victims of assault, natural disasters and mass casualty events. Most people experiencing trauma do not develop PTSD, so understanding neurobiological mechanisms is crucial to predicting risk and developing targeted treatments. There have been many studies seeking to find biomarkers for PTSD, and their results have converged on several brain regions, molecular pathways and neuropsychological functions. In this review, we focus on selected findings about the glucocorticoid receptor (GR), the chaperone protein FKBP51 (FK506 binding protein 51), BDNF (brain-derived neurotrophic factor), fear memory reconsolidation and epigenetic regulation of gene expression in the hypothalamic-pituitary-adrenal (HPA) axis, amygdala and hippocampus. Together, these disparate aspects of brain function provide an emerging model for understanding the etiology and pathophysiology of PTSD. Avoidance of lethal threats is fundamental for survival, and this stringent evolutionary requirement has conserved many components of fear memory storage and behavioural response to danger. PTSD research can therefore rely on non-human animal model systems with better face and construct validity than most other psychiatric disorders. With this advantage, advances in PTSD biomarker identification are likely closer to clinical translation than in other mental illnesses. We attempt to highlight the most promising biomarkers that could be targeted by novel treatments and propose a map for future research work. Show less
no PDF DOI: 10.1007/s12264-026-01617-2
BDNF anxiety biomarkers neurobiological mechanisms ptsd stress disorder traumatic event
Meijia Li, Ying Wang, Zixia Liang +8 more · 2026 · Pharmaceuticals (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ph19030390
BDNF
Xue Wang, Jun Zhang, Xiaoyu Wang +7 more · 2026 · Brain sciences · MDPI · added 2026-04-24
Exercise as a non-pharmacological measure is important to increase the brain plasticity hence improving cognitive performance as well as mental health. This narrative review describes in depth the hie Show more
Exercise as a non-pharmacological measure is important to increase the brain plasticity hence improving cognitive performance as well as mental health. This narrative review describes in depth the hierarchical multiscale processes of neuroplasticity to exercise, including the presence of neurotrophic factor regulation, cellular metabolic adaptations and neurotransmitter remodeling, up to the structure and functional reorganization of brain networks as seen through neuroimaging, and concluding with adaptive cognitive and behavioral outcomes. We further investigate the role of personal variations in genetic time and social environments in moderating the neuroplasticity of exercise. Furthermore, the review identifies the importance of combining multimodal visualization methods with computational models in generating accurate workout prescriptions and their potential of translation into clinical and educational practice. Lastly, the research problems and "grand challenges" are addressed, with a focus on the importance of exercise as a pleiotropic behavior-intervention and its general implications to the area of promoting brain health. Show less
📄 PDF DOI: 10.3390/brainsci16030294
BDNF
Peng Wang, Tong Wang, Yanling Wang +4 more · 2026 · Psychiatry research · Elsevier · added 2026-04-24
There is a significant association between depressive episodes of bipolar disorder and non-suicidal self-injury (NSSI). Mindfulness-based cognitive therapy (MBCT) represents an evolution of cognitive Show more
There is a significant association between depressive episodes of bipolar disorder and non-suicidal self-injury (NSSI). Mindfulness-based cognitive therapy (MBCT) represents an evolution of cognitive behavioural therapy and serves as a comprehensive psychological intervention. Preliminary research suggests that MBCT may enhance cognitive flexibility and attentional adjustment in patients with depressive episodes of bipolar disorder by modulating brain activity. The aim of this study was to explore the effects of MBCT on behaviour, cognitive function, and serum precursor of brain-derived neurotrophic factor (proBDNF) levels in adolescents with depressive episodes of bipolar disorder. A total of 149 adolescent patients with bipolar disorder and depression with NSSI were randomly assigned. The Chinese version of the Adolescent Non-suicidal Self-Injury Assessment Questionnaire (ANSAQ) was used to measure NSSI symptoms. One group received MBCT in addition to treatment as usual (TAU) (n = 75), while the other group received TAU alone (n = 74). At baseline and at weeks 4 and 8 after treatment initiation, participants were assessed using the Barratt Impulsiveness Scale (BIS), the Hamilton Anxiety Scale (HAMA), the Repeatable Battery for the Assessment of Neuropsychological Status, and the Hamilton Depression Scale (HAMD). In addition, serum precursor Brain-Derived Neurotrophic Factor (proBDNF) levels were determined using an enzyme-linked immunosorbent assay. After 4 and 8 weeks of treatment, the MBCT group showed significantly greater improvement than the control group across the three BIS dimensions (motor impulsiveness, cognitive impulsiveness, and non-planning impulsiveness) (P < 0.001). HAMD scores in the MBCT group were significantly lower than those in the TAU group (4 weeks: MBCT:16.89 ± 1.45 vs TAU:17.27 ± 1.47, P < 0.05; 8 weeks: MBCT:9.24 ± 1.43 vs TAU:11.01 ± 1.84, P < 0.001). Similarly, HAMA scores were lower in the MBCT group (4 weeks: MBCT:13.14 ± 1.30 vs TAU:14.13 ± 1.65, P < 0.05; 8 weeks: MBCT:7.16 ± 1.68 vs TAU:8.17 ± 1.40, P < 0.001). Regarding cognitive function, the MBCT group demonstrated significantly higher scores in immediate memory (4 weeks: MBCT:72.31 ± 11.08 vs TAU:68.31 ± 9.36 P < 0.05; 8 weeks:MBCT:74.80 ± 13.06 vs TAU:71.87 ± 13.64, P < 0.05), delayed memory (4 weeks: MBCT:74.46 ± 11.50 vs TAU:70.20 ± 11.76, P < 0.05; 8 weeks: MBCT:76.54 ± 13.07 vs TAU:71.90 ± 12.60, P < 0.001), attention (4 weeks: MBCT:77.53 ± 11.41 vs TAU: 73.01 ± 13.21, P<0.05; 8 weeks: MBCT:84.56 ± 12.77 vs TAU:76.87 ± 11.38, P < 0.001), language ability (4weeks: MBCT:76.47 ± 12.17 vs TAU:72.13 ± 13.25 P < 0.05;8 weeks: MBCT:79.89 ± 15.02 vs TAU:74.83 ± 12.97, P < 0.05) and visuospatial ability (4 weeks:MBCT:89.04 ± 10.92 vs TAU:84.01 ± 12.67 P < 0.05;8 weeks:MBCT:90.23 ± 13.62 vs TAU:87.67 ± 12.74 P < 0.05) . In addition, serum proBDNF levels in the MBCT group were significantly lower than those in the TAU group at both 4 weeks (MBCT:1.34 ± 0.09 ng/mL vs TAU:1.40 ± 0.06 ng/mL, P < 0.05) and 8 weeks (MBCT:1.27 ± 0.07 ng/mL vs TAU:1.31 ± 0.04 ng/mL, P < 0.05). MBCT can effectively reduce impulsive behaviour, alleviate depressive and anxiety symptoms related to self-injurious behaviour in adolescents with bipolar depression, and decrease serum proBDNF levels. Additionally, immediate memory, delayed memory, attention, language, and visuospatial ability were significantly improved following treatment. Show less
no PDF DOI: 10.1016/j.psychres.2026.117109
BDNF bipolar disorder cognitive therapy depressive disorder mindfulness neuroscience nssi probdnf
Yue Wang, Zuyi Liu, Jiayi Wu +12 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Early-life stress (ELS) is a key risk factor for adolescent depression. Si-Ni-San (SNS), a classic traditional Chinese medicine formula, has shown antidepressant potential, yet its effects on the dors Show more
Early-life stress (ELS) is a key risk factor for adolescent depression. Si-Ni-San (SNS), a classic traditional Chinese medicine formula, has shown antidepressant potential, yet its effects on the dorsal raphe nucleus (DRN)-nucleus accumbens (NAc) serotonergic circuit remain unclear. This study aimed to investigate whether SNS alleviates adolescent depression by restoring DRN-NAc serotonergic circuit function and to identify the serotonin receptor mediating its synaptic effects in the NAc. Firstly, the antidepressant efficacy of SNS was evaluated in a mouse model of ELS. Subsequently, its underlying mechanism was explored through integrated neurophysiological, molecular, and pharmacological analyses. Depressive- and anxiety-like behaviors were assessed using behavioral tests (sucrose preference, tail suspension, forced swim, open field, and elevated plus maze). In vivo electrophysiolog was employed to monitor DRN neuronal activity. Chemogenetic manipulation was employed to regulate the DRN-NAc serotonergic circuit, while 5-HT4R function was assessed through pharmacological intervention and viral knockdown. Synaptic and molecular mechanisms were examined using Western blotting, qPCR, ELISA, and immunofluorescence. SNS alleviated depressive-like behaviors, enhanced neural activity and low-frequency oscillations in the DRN, and restored 5-hydroxytryptamine (5-HT) levels in the NAc. Mechanistically, SNS upregulated tryptophan hydroxylase 2 (TPH2) while downregulating indoleamine 2,3-dioxygenase 1 (IDO1), thus promoting 5-HT synthesis. Critically, the antidepressant effects of SNS were blocked by either chemogenetic inhibition of the DRN-NAc serotonergic circuit or pharmacological blockade of 5-HT4R in the NAc. Meanwhile, the knockdown of 5-HT4R abolished the ameliorative effects of SNS on depressive-like behaviors and associated synaptic remodeling, including the upregulation of brain-derived neurotrophic factor, postsynaptic density protein 95, and mushroom spine density. These results demonstrate that SNS alleviates depressive-like behaviors in adolescent male mice by restoring DRN-NAc serotonergic circuit function, enhancing 5-HT bioavailability, and promoting 5-HT4R-dependent synaptic plasticity in the NAc, revealing a circuit- and receptor-specific therapeutic mechanism. Show less
no PDF DOI: 10.1016/j.phymed.2026.158088
BDNF adolescent depression depression neuroscience serotonergic circuit serotonin synaptic plasticity traditional chinese medicine
Liping Wang, Liying Dong, Xue Xia +5 more · 2026 · The Journal of pharmacology and experimental therapeutics · Elsevier · added 2026-04-24
Aging is a progressive process of multisystem physiological function decline driven by multiple factors, NAD
no PDF DOI: 10.1016/j.jpet.2026.104314
BDNF aging decline function multisystem nad physiological progressive
Xuhui Huang, Xiaona Tang, Xiaoli Yang +3 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
Persistent functional impairment and psychological distress are common after stroke, highlighting the need for effective post-discharge nursing strategies. We performed a retrospective cohort study ev Show more
Persistent functional impairment and psychological distress are common after stroke, highlighting the need for effective post-discharge nursing strategies. We performed a retrospective cohort study evaluating the associations of a family-centered, new-media continuous nursing intervention on stroke recovery outcomes. The study included 107 patients with first-ever ischemic stroke who received either routine post-discharge care or a family-centered new-media continuous nursing intervention. Functional status, depressive symptoms, and quality of life were assessed at baseline and 6 months. Rehabilitation adherence, platform engagement indicators, and selected serum biomarkers related to neuroplasticity and inflammation were analyzed. Multivariable models were used to adjust for baseline clinical factors. At 6 months, the intervention group showed significantly greater improvements in Barthel Index scores, larger reductions in Patient Health Questionnaire-9 scores, and greater gains in quality of life compared with routine care. Rehabilitation compliance and medication adherence were higher in the intervention group. Within this group, greater platform engagement was associated with larger improvements in depressive symptoms and quality of life. In addition, patients receiving the intervention exhibited greater increases in serum brain-derived neurotrophic factor and endothelial progenitor cell counts, along with more pronounced reductions in IL-6 and TNF-α. Participation in the intervention remained independently associated with functional and psychological improvement after adjustment. Family-centered new-media continuous nursing is associated with improved functional independence, psychological recovery, adherence behaviors, and favorable biological changes in patients with ischemic stroke. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1775705
BDNF
Yongliang Wang, Jian Zhang, Jinsheng Liu +3 more · 2026 · International journal of general medicine · added 2026-04-24
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the da Show more
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the database to May 2025, a literature search was conducted on PubMed, and Embase, using keywords ["exosome cargo" or "exosome"], ["acupuncture" or "acupuncture and moxibustion" or "electroacupuncture" or "EA"], ["spinal cord injury" or "SCI"], ["immune regulation"], ["inflammatory reaction"], ["neuroregeneration" or "nerve"]. Including peer-reviewed studies on human/animal models, articles that do not meet the requirements are excluded. Preclinically, MSC-exosomal miR-145-5p suppressed TLR4/NF-κB signaling, reducing spinal IL-1β by 47% in SD rats. Schwann cell-exosomal MFG-E8 activated SOCS3/STAT3, increasing M2 macrophage CD206 by 63% and raising rat BBB scores by 3.8 points; Treg-exosomal miR-2861 upregulated tight junction proteins (occludin/ZO-1) to repair the blood-spinal cord barrier. Acupuncture (EA at GV14/GV4) upregulated spinal BDNF by 72% and NGF by 58% via Wnt/β-catenin, while EA at GV6/GV9 downregulated NLRP3 by 42-58% and TNF-α by 35-47%. Clinically, EA at EX-B2 increased ASIA scores by 3.2±1.1 points (Guo et al). Besides, 5x/week EA improved ASIA vs 3x/week (+6.4 points). EA+exercise reduced MAS by 1.6-2.9 points, with outcomes correlated to peripheral NLRP3 reduction, BDNF elevation, and MBI/WISCIII increases. Exosome cargo (miR-145-5p/MFG-E8) and NLRP3/BDNF are key regulatory molecules underlying acupuncture-mediated SCI recovery. However, limitations (small RCT samples, heterogeneous acupuncture protocols, unstandardized exosome isolation) hinder translation. Future work should focus on standardized biomarker detection, exosome engineering, and large-scale clinical trials. Show less
📄 PDF DOI: 10.2147/IJGM.S595567
BDNF
Jun-Wei Xiong, Meng-Yao Dou, Ying Wang +11 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Cellular and synaptic plasticity in ventral tegmental area (VTA) play a key role in alcohol use disorder (AUD). Here, we first delineated the in vivo dynamics of dopamine (DA) neuron activity in VTA d Show more
Cellular and synaptic plasticity in ventral tegmental area (VTA) play a key role in alcohol use disorder (AUD). Here, we first delineated the in vivo dynamics of dopamine (DA) neuron activity in VTA during chronic intermittent ethanol exposure: initial sensitization was followed by a phase of attenuated and dysregulated response upon the first high-concentration exposure, culminating in stable hyper-responsiveness. Chronic ethanol exposure impaired long-term potentiation of GABAergic synapses (LTP Show less
📄 PDF DOI: 10.1038/s41380-026-03532-4
BDNF
Yuqian Wang, Yajun Zhang, Yifan Cui +5 more · 2026 · Frontiers in microbiology · Frontiers · added 2026-04-24
The objective of our investigation was to explore the features of gut microbiota dysbiosis and the concentrations of gut metabolites in relation to white matter injury (WMI). Furthermore, we sought to Show more
The objective of our investigation was to explore the features of gut microbiota dysbiosis and the concentrations of gut metabolites in relation to white matter injury (WMI). Furthermore, we sought to evaluate the influence of gut dysbiosis on neuroinflammation in WMI via intestinal metabolites, and its contribution to pathogenesis. A cerebral hypoxia-ischemia-induced WMI model was established in 3-day-old Sprague-Dawley rats. Liquid chromatography-mass spectrometry/gas chromatography-mass spectrometry analyses and 16S rRNA gene sequencing were undertaken to ascertain WMI biomarkers. Mechanistic experiments were used to analyse activation of the H3K9ac/BDNF/TrkB pathway and neuroinflammation. The analysis of 16S rRNA sequencing disclosed gut microbiota dysbiosis in WMI rats, quantified using linear discriminant analysis effect size. Overall, 341 differentially expressed metabolic markers between the WMI and Sham groups were discovered. The Kyoto Encyclopedia of Genes and Genomes network enhancement evaluation revealed significant downregulation of 20 metabolic processes in the WMI group, which is strongly related to changes in fecal microbial metabolites, and the synthesis process of unsaturated fatty acids was the most significant. Gut microbiota dysbiosis may influence WMI by downregulating metabolites such as eicosapentaenoic acid (EPA). Fecal microbiota transplantation increased EPA concentration in the brain tissue of WMI rats. Gut microbiota-derived EPA promoted H3K9ac and BDNF/TrkB expression and inhibited the transcription of pro-inflammatory TNF- WMI induces gut dysbiosis involving down-regulation of unsaturated fatty acid synthesis. Fecal microbiota transplantation leads to increased levels of EPA. Gut microbiota-derived EPA increases levels of acetylated histone H3K9ac, causes activation of the BDNF/TrkB pathway, reduces neuroinflammation, and improves WMI-associated myelination disorders. It provides a basis for targeted treatment of white matter injury in the future. Show less
📄 PDF DOI: 10.3389/fmicb.2026.1711114
BDNF
Xiaohui Zhai, Dongshi Wang · 2026 · Neuroscience and biobehavioral reviews · Elsevier · added 2026-04-24
Substance Use Disorders (SUD) have escalated into a global public health crisis, with their core pathology encompassing not only physiological dependence and a heightened risk of relapse, but also pro Show more
Substance Use Disorders (SUD) have escalated into a global public health crisis, with their core pathology encompassing not only physiological dependence and a heightened risk of relapse, but also profound social cognitive impairments caused by chronic substance abuse. These impairments constitute a major barrier to rehabilitation yet remain largely overlooked in current treatment frameworks. This review develops and substantiates an innovative theoretical framework centered on the "Exercise-Irisin-Social Brain" axis. We propose a core pathway hypothesis: regular exercise can induce the release of the myokine irisin from skeletal muscle, which then enters the bloodstream and crosses the blood-brain barrier to act on the prefrontal cortex, which is the central hub of social cognition and executive function. Through potential mechanisms including the upregulation of brain-derived neurotrophic factor and the suppression of neuroinflammation, irisin may contribute to the repair of the executive function network that underlies higher-order social cognition, thereby improving social cognitive abilities and ultimately providing a supportive foundation for the reconstruction of social functioning in individuals with SUD. This new paradigm not only provides a testable biological pathway for understanding how exercise may repair the addicted brain, but also transcends the limitations of traditional models that focus primarily on withdrawal and relapse, by elevating rehabilitation goals to emphasize the restoration of social functioning. Show less
no PDF DOI: 10.1016/j.neubiorev.2026.106653
BDNF exercise neuroscience pathology prefrontal cortex rehabilitation social cognition substance use disorders
Xinran Wu, Zhuoying Gu, Chenxi Kong +5 more · 2026 · Molecular neurobiology · Springer · added 2026-04-24
Serum extracellular vesicle (EV) microRNAs (miRNAs) are promising biomarkers for ischemic stroke (IS), but their role in transient ischemic attack (TIA) remains unclear. This study aimed to evaluate E Show more
Serum extracellular vesicle (EV) microRNAs (miRNAs) are promising biomarkers for ischemic stroke (IS), but their role in transient ischemic attack (TIA) remains unclear. This study aimed to evaluate EV miRNAs as non-invasive diagnostic tools for IS and TIA. Using single-molecule sequencing, miRNAs were profiled in pooled sera from 50 IS patients and 50 controls. Altered miRNAs were validated via individual qRT‑PCR in the same cohort and tested in expanded internal (100 IS, 40 TIA, 100 controls) and external validation cohorts (32 IS, 8 TIA, 32 controls). Diagnostic performance was assessed via ROC and logistic regression analyses. Bioinformatics and in vitro oxygen-glucose deprivation/reperfusion (OGD/R) models were employed to explore mechanisms. Initial screening identified 134 differentially expressed EV miRNAs (36 upregulated, 98 downregulated) in IS. Validation confirmed significantly decreased let-7f-5p in IS and TIA, and elevated miR-486-5p and let-7b-5p in IS, with let-7b-5p higher in IS than TIA. A combined EV miRNA panel may effectively distinguish IS and TIA from controls, and stratify IS severity and TIA subsequent stroke risk. Multivariable logistic regression showed increased EV let-7b-5p independently associated with IS, and reduced let-7f-5p with IS/TIA. Bioinformatic analysis predicted FOXO1 and BDNF as key targets; decreased FOXO1 and increased BDNF were observed in IS serum and serum EVs, and FOXO1 downregulation was replicated in an OGD/R cellular model. A serum EV miRNA signature (downregulated let-7f-5p, upregulated miR-486-5p and let-7b-5p) may serve as a non-invasive biomarker panel for assessing IS severity and TIA stroke risk. Dysregulation of these miRNAs and their targets may contribute to ischemic injury pathology. Show less
📄 PDF DOI: 10.1007/s12035-026-05796-x
BDNF
Bo Ning, Yi Wei, Cheng Luo +16 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Post-cardiac surgery anxiety or depression (PCPAD) is a common neuropsychiatric complication following cardiovascular interventional procedures, which significantly increases the risk of adverse cardi Show more
Post-cardiac surgery anxiety or depression (PCPAD) is a common neuropsychiatric complication following cardiovascular interventional procedures, which significantly increases the risk of adverse cardiovascular events and long-term mortality. Existing treatment strategies have limitations, and clinical needs remain unmet. The gut-brain axis (GBA) serves as a core network regulating neuroimmune and endocrine responses, and its imbalance involves key links such as intestinal flora dysbiosis and neuroimmune crosstalk disorders. It is closely related to the pathogenesis of this complication, providing a novel perspective for targeted interventions. This review aims to systematically clarify the mechanism of GBA in PCPAD, comprehensively explore therapeutic strategies targeting this axis, and focus on the intervention value and application potential of natural products. The study was designed and conducted in strict accordance with the PRISMA 2020 guidelines. Relevant literatures were searched from PubMed, Web of Science Core Collection, ScienceDirect, Embase, Cochrane Library, and CNKI databases from their inception to December 2025. Literatures focusing on GBA-related mechanisms of PCPAD or investigating the mechanisms and clinical applications of natural products targeting GBA for PCPAD treatment were included. Conference abstracts, case reports, duplicate publications, and other ineligible literatures were excluded. Through quality control strategies including double independent screening and verification, priority inclusion of high-credibility evidence, and data cross-validation, 168 eligible literatures were finally included. The composition and functions of GBA, its imbalance mechanisms, and the basic and clinical evidence of natural product-based interventions were systematically analyzed. Studies have shown that GBA imbalance is the core pathogenesis of PCPAD, among which the inflammatory cascade initiated by intestinal flora dysbiosis, abnormal activation of the neuroendocrine axis, disorder of immune-nerve crosstalk, and abnormal gene and epigenetic regulation are key pathological links. In summary, GBA imbalance, especially gut microbiota dysbiosis and neuroimmune interactions, plays a critical role in the pathogenesis of PCPAD. Natural products (including traditional Chinese medicine (TCM) monomers, TCM compound prescriptions, patented TCM drugs, and natural products from other plant sources worldwide) can exert therapeutic effects by synergistically regulating GBA homeostasis through multiple targets. Specifically, they include increasing the abundance of beneficial bacteria such as Bifidobacterium and Lactobacillus, promoting the production of anti-inflammatory metabolites such as short-chain fatty acids, repairing intestinal barrier function, inhibiting pro-inflammatory pathways such as NF-κB and NLRP3 inflammasome, and regulating the levels of neurotransmitters and neurotrophic factors such as 5-HT and BDNF. Basic and clinical studies have confirmed that these natural products have high biocompatibility and low toxic side effects, and are compatible with the safe medication needs of patients during the organ function recovery period after cardiac surgery. Several natural products have been proven to modulate GBA dysfunction, with potential for clinical therapeutic application. This review systematically elucidates a new paradigm of precise intervention for PCPAD via natural products that regulate GBA through multiple targets, addressing the limitation of traditional single-target therapies and providing a low-cost, easily promotable solution for clinical translation. Additionally, natural product-based interventions offer a novel approach for treating post-cardiac surgery complications. In the future, it is necessary to further conduct large-sample, multicenter clinical trials to clarify their mechanisms of action and standardized dosage regimens, strengthen toxicological research, facilitate the translation from basic research to clinical practice, and provide more precise therapeutic strategies for patients. Show less
no PDF DOI: 10.1016/j.phymed.2026.158061
BDNF anxiety cardiovascular depression endocrine gut-brain axis intestinal flora neuroimmune
Dan Liu, Meilin Weng, Rui Wang +9 more · 2026 · Journal of inflammation research · added 2026-04-24
Early vascular regeneration is important for the speedy recovery of neurological function following ischemic stroke. M2-like microglia polarization decreases and vascular regeneration weakens with agi Show more
Early vascular regeneration is important for the speedy recovery of neurological function following ischemic stroke. M2-like microglia polarization decreases and vascular regeneration weakens with aging. The function of mitochondrial respiratory chain is dependent on M2-like polarization in microglia. A murine model of middle cerebral artery occlusion (MCAO) was used to perform animal behavioral assessments, immunoblotting, tube formation and chick embryo chorioallantoic membrane assays. A D-galactose-induced cellular senescence model was established in BV2 cells. Aging significantly exacerbates acute brain injury 24 hours post-cerebral ischemia-reperfusion, with increased expression of M1-like microglial markers and a concomitant decrease in M2-like microglial markers. Additionally, aging can inhibit DARS2 protein expression, adversely affect angiogenesis and reduce brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor A (VEGFA) expression. In vitro, oxygen-glucose deprivation/reoxygenation and re-glucose (OGD/R) demonstrated that This study suggests that aging impedes M2-like microglial polarization by downregulating DARS2 expression in microglia, thereby impairing emergency angiogenesis during acute ischemic stroke and exacerbating neuronal damage. Show less
📄 PDF DOI: 10.2147/JIR.S527147
BDNF
Jiantao Liu, Feiyuan Peng, Penghui Li +7 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Alzheimer's disease (AD) is characterized by progressive synaptic failure, neuroinflammation, amyloid and tau pathology, yet effective disease-modifying therapies remain limited. Cannabidiol (CBD) has Show more
Alzheimer's disease (AD) is characterized by progressive synaptic failure, neuroinflammation, amyloid and tau pathology, yet effective disease-modifying therapies remain limited. Cannabidiol (CBD) has shown neuroprotective potential in AD, but its direct molecular targets and signaling mechanisms remain unclear. Here, we demonstrate that CBD ameliorates cognitive and emotional deficits in 3×Tg-AD mice by restoring synaptic integrity and plasticity. At the mechanistic level, CBD activated TrkB signaling independently of BDNF, leading to suppression of tau hyperphosphorylation via the PI3K/AKT/GSK3β pathway and attenuation of neuroinflammation and amyloid pathology through inhibition of the JAK2/STAT3/SOCS1 axis. Using isothermal shift assays combined with biophysical binding analyses, we identified FRS2, a core adaptor protein of TrkB, as a direct molecular target of CBD. Molecular dynamics simulations further revealed that CBD stabilizes the FRS2-TrkB interface, thereby facilitating TrkB activation. Importantly, genetic knockdown of FRS2 abolished CBD-induced TrkB signaling and its downstream neuroprotective effects in both cellular and in vivo AD models. Together, these findings identify FRS2 as a critical signaling node mediating BDNF-independent TrkB activation by CBD and establish a mechanistic framework linking CBD to disease-modifying pathways in AD. Show less
📄 PDF DOI: 10.1038/s41380-026-03525-3
BDNF
Yu Wang, Lu Fang, Chenyuan Zhai +14 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Traumatic spinal cord injury (SCI) induces neuronal apoptosis and neuroinflammation, which exacerbate secondary damage and hinder functional recovery. Efficient clearance of apoptotic cells and modula Show more
Traumatic spinal cord injury (SCI) induces neuronal apoptosis and neuroinflammation, which exacerbate secondary damage and hinder functional recovery. Efficient clearance of apoptotic cells and modulation of the inflammatory microenvironment of spinal cord are essential for promoting tissue repair. This study aimed to investigate whether Midkine (MDK), a heparin-binding growth factor, facilitates functional recovery after SCI and explores the underlying mechanisms. A rat model of moderate SCI was established using Allen's impact method. Lentiviral vectors were used to overexpress MDK in the spinal cord. Behavioral assessments, including BBB score and gait analysis, were performed to evaluate motor function recovery. Motor evoked potentials (MEPs) serve as a neurophysiological tool for evaluating the functional integrity of the corticospinal tract. In vivo and in vitro experiments were conducted to assess microglial efferocytosis and elucidate the underlying molecular mechanisms. Transcriptomic bioinformatic analysis suggests that SCI is characterized by pronounced accumulation of apoptotic cells and robust neuroinflammatory responses, whereas single-cell analysis implicates MDK as a key contributor to neurorepair after SCI. MDK expression is dynamically regulated following SCI, with an early upregulation followed by a gradual decline over time, its location predominantly observed around microglial cells. Functionally, MDK overexpression significantly enhances motor recovery after SCI, accompanied by reduced neuroinflammation, decreased neuronal apoptosis, and improved neuroprotection. Mechanistically, MDK promotes microglial efferocytosis both in vivo and in vitro, activates the AKT/mTOR signaling pathway, upregulates BDNF and LRP-1 expression, and facilitates microglial polarization toward an anti-inflammatory M2 phenotype. Notably, inhibition of LRP-1 with receptor-associated protein (RAP) abolished the efferocytic and neuroprotective effects of recombinant MDK, highlighting LRP-1 as a key mediator of MDK's actions in microglia. Our study unveils the MDK/LRP-1/efferocytosis axis as a previously unrecognized therapeutic target for SCI. By orchestrating apoptotic cell clearance, dampening neuroinflammation, and fostering neuroprotection, this axis critically shapes the post-injury microenvironment to facilitate recovery. These findings suggest that MDK-centered therapy may represent a strategy for spinal cord repair, with LRP-1 modulation offering precise control over microglial responses. Show less
📄 PDF DOI: 10.1002/cns.70841
BDNF
Qiying Wei, Liuyang Bai, Liangying Yan +5 more · 2026 · Cancer biology & therapy · Taylor & Francis · added 2026-04-24
Perineural invasion (PNI) represents a uniquely distinctive pathway for tumor metastasis, but its underlying molecular mechanisms and therapy remain unclear. Bioinformatics analysis and transcriptomic Show more
Perineural invasion (PNI) represents a uniquely distinctive pathway for tumor metastasis, but its underlying molecular mechanisms and therapy remain unclear. Bioinformatics analysis and transcriptomic sequencing were first employed to investigate the involvement of the BDNF/TrkB axis in the ESCC PNI, which was validated with ESCC cells co-cultured with a dorsal root ganglia system (ESCC/DRG model), a mouse PNI model, and ESCC tissues, mainly using microscopic imaging, IVIS Spectrum The BDNF/TrkB axis is closely associated with the PNI in ESCC. This pathway plays a pivotal role in driving PNI progression via Akt signaling. Deguelin was identified as an effective inhibitor of PNI in ESCC. Mechanistically, BDNF was revealed to be a key binding target of Deguelin, which disrupts PNI development by modulating the BDNF/TrkB/Akt axis. Notably, overexpression of BDNF can counteract Deguelin's inhibitory effects on ESCC growth and PNI progression. The BDNF/TrkB axis promotes the progression of ESCC PNI, and Deguelin inhibits ESCC PNI by targeting this axis, enhancing the understanding of PNI's molecular mechanisms and offering new therapeutic options. Show less
📄 PDF DOI: 10.1080/15384047.2026.2644788
BDNF
Yan Jin, Boya Tian, Hongze Wang +3 more · 2026 · Journal of food science · Blackwell Publishing · added 2026-04-24
This study aimed to investigate the effect of different preferences of food-derived odors (common food flavors/spices) on the appetite, immune system, and CNS of mice through 15 days of olfactory expo Show more
This study aimed to investigate the effect of different preferences of food-derived odors (common food flavors/spices) on the appetite, immune system, and CNS of mice through 15 days of olfactory exposure. According to the ranking of sniffing duration, beef essence was chosen as a pleasant odor, while garlic essence was chosen as an unpleasant odor. Results showed that food intake and body weight gradually increased in all groups, with the lowest values observed in the garlic odor group. Unpleasant garlic odor suppressed the mRNA transcription levels of agouti-related protein (AgRP) and neuropeptide Y (NPY) in the hypothalamic arcuate nucleus, along with elevated leptin levels, thereby inhibiting food intake and causing body weight loss. In addition, the serum TNF-α, IL-2, and IL-6 levels in the garlic odor group were significantly higher than those in the beef and control groups, which indicated that the immune system may be impaired by the exposure to unpleasant garlic odor. Furthermore, pleasant beef odors could promote the differentiation of hippocampal neurons and the levels of brain-derived neurotrophic factors and glial cell line-derived neurotrophic factor, which may have great potential in improving neurological disorders. Conclusively, unpleasant odors may suppress immune function or modulate the CNS by establishing an odor-CNS-immune pathway, while pleasant food odors affect only the CNS. The present study preliminarily provides novel insights that different preferences for food odors could affect the body weight, immune system, and CNS. It may serve as a reference for further research and development of aromatherapy as an adjuvant medicine and therapeutic method. Show less
no PDF DOI: 10.1111/1750-3841.70942
BDNF appetite body weight cns food intake immune system olfaction olfactory exposure
Wanyi Li, Shiyu Chen, Zhitao Liu +9 more · 2026 · Experimental neurology · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is one of the most common forms of neurodegenerative disorder characterized by extracellular Aβ accumulation and intracellular tau hyperphosphorylation. Currently, there are n Show more
Alzheimer's disease (AD) is one of the most common forms of neurodegenerative disorder characterized by extracellular Aβ accumulation and intracellular tau hyperphosphorylation. Currently, there are no effective therapeutic drugs available for AD. Regular exercise training has emerged as a promising physical intervention strategy for mitigating both the risk and progression of AD, but different types of exercise interventions show varied and conflicting results in AD treatment, with their differential effects and mechanisms still unelucidated. Using an Aβ oligomer-induced AD mouse model, we investigated therapeutic effects of voluntary wheel running, forced treadmill running, and combined exercise (voluntary combined with forced running) on AD pathologies. For depressive-like behavior, we conducted forced swimming test and tail suspension test; for cognition, Novel object recognition test (object recognition ability) and Morris water maze test (spatial learning and memory) was used respectively. We applied BrdU-DCX/NeuN/GFAP immunofluorescence co-staining to measure neurogenesis, Western blot to examine proteins associated with synapses, neurons, astrocytes, apoptosis, and BDNF signaling key components, serum metabolomics to identify exercise-induced metabolites. Furthermore, a clinical trial involving healthy subjects and patients with AD implemented an acute exercise intervention and utilized portable functional near-infrared spectroscopy to assess cortical activation and functional connectivity under conditions of both voluntary and forced exercise. Voluntary, forced, and combined exercise alleviated depressive-like phenotypes and short-term cognitive deficits in AD mice, while only forced exercise conferred sustained long-term memory benefit. All exercises boosted hippocampal neurogenesis by enhancing newborn cell (BrdU Our findings reveal distinct neuroprotective profiles of long-term voluntary, forced, and combined exercise interventions against Aβ oligomer neurotoxicity in an AD mouse model, and different acute exercise modalities also demonstrate distinct effects on cortical activation and functional connectivity in patients with AD. Our study provides novel insights into exercise modalities' therapeutic effects in ameliorating AD neuropathology. Show less
no PDF DOI: 10.1016/j.expneurol.2026.115731
BDNF alzheimer's disease amyloid beta exercise neurodegeneration neurodegenerative disorder neuroscience pathophenotypes
Yange Wei, Zengyuan Shen, Peng Luo +9 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
The primary treatment for schizophrenia currently relies on medication. Nevertheless, the efficacy of medication for Cognitive Impairment Associated with Schizophrenia (CIAS) is constrained, and it is Show more
The primary treatment for schizophrenia currently relies on medication. Nevertheless, the efficacy of medication for Cognitive Impairment Associated with Schizophrenia (CIAS) is constrained, and it is also accompanied by side effects. Consequently, the investigation of novel non-pharmacological strategies is essential. High-definition transcranial direct current stimulation (HD-tDCS) and aerobic exercise (AE) have emerged as promising approaches for cognitive enhancement in individuals with schizophrenia. This study aims to evaluate the efficacy of integrating HD-tDCS with AE for CIAS and to elucidate the underlying mechanisms of this synergistic intervention. A randomized, double-blind, controlled trial will be conducted. The CIAS will be randomly allocated to one of four groups: MRI-guided HD-tDCS + AE, MRI-guided HD-tDCS alone, AE alone, and a control group. Structural magnetic resonance imaging (MRI) data will be obtained to determine the optimal electrode placement. The central electrode will be positioned over the medial prefrontal cortex (mPFC). Both HD-tDCS and AE will be administered five times per week over a four-week period, resulting in a total of 20 sessions. The primary outcome measure will be the change in cognitive function, evaluated using the MATRICS Consensus Cognitive Battery. Secondary outcomes will include changes assessed by the Repeatable Battery for the Assessment of Neuropsychological Status and the Wisconsin Card Sorting Test which are designed to evaluate global and executive functions. The Facial Emotion Perception Test and the Voice Emotion Perception Test will be utilized to assess social cognition. The severity of clinical symptoms will be quantified through the Positive and Negative Syndrome Scale and the Brief Psychiatric Rating Scale. This study will incorporate functional near-infrared spectroscopy, MRI, electroencephalography, P300 event-related potential, eye movement examination and plasma brain-derived neurotrophic factor (BDNF) levels to investigate the underlying mechanisms. Assessments will be evaluated at baseline (T0), after 2 weeks (T1), after 4 weeks (T2), and after 6 months (T3). The integration of MRI-guided HD-tDCS targeting the mPFC and AE presents an efficacious and individualized treatment strategy for CIAS. This proof-of-concept study may provide a multi-dimensional view of biological mechanisms underlying HD-tDCS combined with AE in precision psychiatry. The study is registered with https://www.chictr.org.cn/ protocol registration number ChiCTR2500106980 (date of registration: 1. August. 2025). It was approved by the Research Ethics Committee of the Second Affiliated Hospital of Xinxiang Medical University (Approval Code: XYEFYLL-2025-16, Approval Date: 17 February 2025). Recruitment began in December 2025. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1742634
BDNF