👤 Zhenqian Liu

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3182
Articles
1983
Name variants
Also published as: A Liu, Ai Liu, Ai-Guo Liu, Aidong Liu, Aiguo Liu, Aihua Liu, Aijun Liu, Ailing Liu, Aimin Liu, Allen P Liu, Aman Liu, An Liu, An-Qi Liu, Ang-Jun Liu, Anjing Liu, Anjun Liu, Ankang Liu, Anling Liu, Anmin Liu, Annuo Liu, Anshu Liu, Ao Liu, Aoxing Liu, B Liu, Baihui Liu, Baixue Liu, Baiyan Liu, Ban Liu, Bang Liu, Bang-Quan Liu, Bao Liu, Bao-Cheng Liu, Baogang Liu, Baohui Liu, Baolan Liu, Baoli Liu, Baoning Liu, Baoxin Liu, Baoyi Liu, Bei Liu, Beibei Liu, Ben Liu, Bi-Cheng Liu, Bi-Feng Liu, Bihao Liu, Bilin Liu, Bin Liu, Bing Liu, Bing-Wen Liu, Bingcheng Liu, Bingjie Liu, Bingwen Liu, Bingxiao Liu, Bingya Liu, Bingyu Liu, Binjie Liu, Bo Liu, Bo-Gong Liu, Bo-Han Liu, Boao Liu, Bolin Liu, Boling Liu, Boqun Liu, Bowen Liu, Boxiang Liu, Boxin Liu, Boya Liu, Boyang Liu, Brian Y Liu, C Liu, C M Liu, C Q Liu, C-T Liu, C-Y Liu, Caihong Liu, Cailing Liu, Caiyan Liu, Can Liu, Can-Zhao Liu, Catherine H Liu, Chan Liu, Chang Liu, Chang-Bin Liu, Chang-Hai Liu, Chang-Ming Liu, Chang-Pan Liu, Chang-Peng Liu, Changbin Liu, Changjiang Liu, Changliang Liu, Changming Liu, Changqing Liu, Changtie Liu, Changya Liu, Changyun Liu, Chao Liu, Chao-Ming Liu, Chaohong Liu, Chaoqi Liu, Chaoyi Liu, Chelsea Liu, Chen Liu, Chenchen Liu, Chendong Liu, Cheng Liu, Cheng-Li Liu, Cheng-Wu Liu, Cheng-Yong Liu, Cheng-Yun Liu, Chengbo Liu, Chenge Liu, Chengguo Liu, Chenghui Liu, Chengkun Liu, Chenglong Liu, Chengxiang Liu, Chengyao Liu, Chengyun Liu, Chenmiao Liu, Chenming Liu, Chenshu Liu, Chenxing Liu, Chenxu Liu, Chenxuan Liu, Chi Liu, Chia-Chen Liu, Chia-Hung Liu, Chia-Jen Liu, Chia-Yang Liu, Chia-Yu Liu, Chiang Liu, Chin-Chih Liu, Chin-Ching Liu, Chin-San Liu, Ching-Hsuan Liu, Ching-Ti Liu, Chong Liu, Christine S Liu, ChuHao Liu, Chuan Liu, Chuanfeng Liu, Chuanxin Liu, Chuanyang Liu, Chun Liu, Chun-Chi Liu, Chun-Feng Liu, Chun-Lei Liu, Chun-Ming Liu, Chun-Xiao Liu, Chun-Yu Liu, Chunchi Liu, Chundong Liu, Chunfeng Liu, Chung-Cheng Liu, Chung-Ji Liu, Chunhua Liu, Chunlei Liu, Chunliang Liu, Chunling Liu, Chunming Liu, Chunpeng Liu, Chunping Liu, Chunsheng Liu, Chunwei Liu, Chunxiao Liu, Chunyan Liu, Chunying Liu, Chunyu Liu, Cici Liu, Clarissa M Liu, Cong Cong Liu, Cong Liu, Congcong Liu, Cui Liu, Cui-Cui Liu, Cuicui Liu, Cuijie Liu, Cuilan Liu, Cun Liu, Cun-Fei Liu, D Liu, Da Liu, Da-Ren Liu, Daiyun Liu, Dajiang J Liu, Dan Liu, Dan-Ning Liu, Dandan Liu, Danhui Liu, Danping Liu, Dantong Liu, Danyang Liu, Danyong Liu, Daoshen Liu, David Liu, David R Liu, Dawei Liu, Daxu Liu, Dayong Liu, Dazhi Liu, De-Pei Liu, De-Shun Liu, Dechao Liu, Dehui Liu, Deliang Liu, Deng-Xiang Liu, Depei Liu, Deping Liu, Derek Liu, Deruo Liu, Desheng Liu, Dewu Liu, Dexi Liu, Deyao Liu, Deying Liu, Dezhen Liu, Di Liu, Didi Liu, Ding-Ming Liu, Dingding Liu, Dinglu Liu, Dingxiang Liu, Dong Liu, Dong-Yun Liu, Dongang Liu, Dongbo Liu, Dongfang Liu, Donghui Liu, Dongjuan Liu, Dongliang Liu, Dongmei Liu, Dongming Liu, Dongping Liu, Dongxian Liu, Dongxue Liu, Dongyan Liu, Dongyang Liu, Dongyao Liu, Dongzhou Liu, Dudu Liu, Dunjiang Liu, Edison Tak-Bun Liu, En-Qi Liu, Enbin Liu, Enlong Liu, Enqi Liu, Erdong Liu, Erfeng Liu, Erxiong Liu, F Liu, F Z Liu, Fan Liu, Fan-Jie Liu, Fang Liu, Fang-Zhou Liu, Fangli Liu, Fangmei Liu, Fangping Liu, Fangqi Liu, Fangzhou Liu, Fani Liu, Fayu Liu, Fei Liu, Feifan Liu, Feilong Liu, Feiyan Liu, Feiyang Liu, Feiye Liu, Fen Liu, Fendou Liu, Feng Liu, Feng-Ying Liu, Fengbin Liu, Fengchao Liu, Fengen Liu, Fengguo Liu, Fengjiao Liu, Fengjie Liu, Fengjuan Liu, Fengqiong Liu, Fengsong Liu, Fonda Liu, Foqiu Liu, Fu-Jun Liu, Fu-Tong Liu, Fubao Liu, Fuhao Liu, Fuhong Liu, Fujun Liu, Gan Liu, Gang Liu, Gangli Liu, Ganqiang Liu, Gaohua Liu, Ge Liu, Ge-Li Liu, Gen Sheng Liu, Geng Liu, Geng-Hao Liu, Geoffrey Liu, George E Liu, George Liu, Geroge Liu, Gexiu Liu, Gongguan Liu, Guang Liu, Guangbin Liu, Guangfan Liu, Guanghao Liu, Guangliang Liu, Guangqin Liu, Guangwei Liu, Guangxu Liu, Guannan Liu, Guantong Liu, Gui Yao Liu, Gui-Fen Liu, Gui-Jing Liu, Gui-Rong Liu, Guibo Liu, Guidong Liu, Guihong Liu, Guiju Liu, Guili Liu, Guiqiong Liu, Guiquan Liu, Guisheng Liu, Guiyou Liu, Guiyuan Liu, Guning Liu, Guo-Liang Liu, Guochang Liu, Guodong Liu, Guohao Liu, Guojun Liu, Guoke Liu, Guoliang Liu, Guopin Liu, Guoqiang Liu, Guoqing Liu, Guoquan Liu, Guowen Liu, Guoyong Liu, H Liu, Hai Feng Liu, Hai-Jing Liu, Hai-Xia Liu, Hai-Yan Liu, Haibin Liu, Haichao Liu, Haifei Liu, Haifeng Liu, Hailan Liu, Hailin Liu, Hailing Liu, Haitao Liu, Haiyan Liu, Haiyang Liu, Haiying Liu, Haizhao Liu, Han Liu, Han-Fu Liu, Han-Qi Liu, Hancong Liu, Hang Liu, Hanhan Liu, Hanjiao Liu, Hanjie Liu, Hanmin Liu, Hanqing Liu, Hanxiang Liu, Hanyuan Liu, Hao Liu, Haobin Liu, Haodong Liu, Haogang Liu, Haojie Liu, Haokun Liu, Haoling Liu, Haowei Liu, Haowen Liu, Haoyue Liu, He-Kun Liu, Hehe Liu, Hekun Liu, Heliang Liu, Heng Liu, Hengan Liu, Hengru Liu, Hengtong Liu, Heyi Liu, Hong Juan Liu, Hong Liu, Hong Wei Liu, Hong-Bin Liu, Hong-Li Liu, Hong-Liang Liu, Hong-Tao Liu, Hong-Xiang Liu, Hong-Ying Liu, Hongbin Liu, Hongbing Liu, Hongfa Liu, Honghan Liu, Honghe Liu, Hongjian Liu, Hongjie Liu, Hongjun Liu, Hongli Liu, Hongliang Liu, Hongmei Liu, Hongqun Liu, Hongtao Liu, Hongwei Liu, Hongxiang Liu, Hongxing Liu, Hongyan Liu, Hongyang Liu, Hongyao Liu, Hongyu Liu, Hongyuan Liu, Houbao Liu, Hsiao-Ching Liu, Hsiao-Sheng Liu, Hsiaowei Liu, Hsu-Hsiang Liu, Hu Liu, Hua Liu, Hua-Cheng Liu, Hua-Ge Liu, Huadong Liu, Huaizheng Liu, Huan Liu, Huan-Yu Liu, Huanhuan Liu, Huanliang Liu, Huanyi Liu, Huatao Liu, Huawei Liu, Huayang Liu, Huazhen Liu, Hui Liu, Hui-Chao Liu, Hui-Fang Liu, Hui-Guo Liu, Hui-Hui Liu, Hui-Xin Liu, Hui-Ying Liu, Huibin Liu, Huidi Liu, Huihua Liu, Huihui Liu, Huijuan Liu, Huijun Liu, Huikun Liu, Huiling Liu, Huimao Liu, Huimin Liu, Huiming Liu, Huina Liu, Huiping Liu, Huiqing Liu, Huisheng Liu, Huiying Liu, Huiyu Liu, Hulin Liu, J Liu, J R Liu, J W Liu, J X Liu, J Z Liu, James K C Liu, Jamie Liu, Jay Liu, Ji Liu, Ji-Kai Liu, Ji-Long Liu, Ji-Xing Liu, Ji-Xuan Liu, Ji-Yun Liu, Jia Liu, Jia-Cheng Liu, Jia-Jun Liu, Jia-Qian Liu, Jia-Yao Liu, JiaXi Liu, Jiabin Liu, Jiachen Liu, Jiahao Liu, Jiahua Liu, Jiahui Liu, Jiajie Liu, Jiajuan Liu, Jiakun Liu, Jiali Liu, Jialin Liu, Jiamin Liu, Jiaming Liu, Jian Liu, Jian-Jun Liu, Jian-Kun Liu, Jian-hong Liu, Jian-shu Liu, Jianan Liu, Jianbin Liu, Jianbo Liu, Jiandong Liu, Jianfang Liu, Jianfeng Liu, Jiang Liu, Jiangang Liu, Jiangbin Liu, Jianghong Liu, Jianghua Liu, Jiangjiang Liu, Jiangjin Liu, Jiangling Liu, Jiangxin Liu, Jiangyan Liu, Jianhua Liu, Jianhui Liu, Jiani Liu, Jianing Liu, Jianjiang Liu, Jianjun Liu, Jiankang Liu, Jiankun Liu, Jianlei Liu, Jianmei Liu, Jianmin Liu, Jiannan Liu, Jianping Liu, Jiantao Liu, Jianwei Liu, Jianxi Liu, Jianxin Liu, Jianyong Liu, Jianyu Liu, Jianyun Liu, Jiao Liu, Jiaojiao Liu, Jiaoyang Liu, Jiaqi Liu, Jiaqing Liu, Jiawen Liu, Jiaxian Liu, Jiaxiang Liu, Jiaxin Liu, Jiayan Liu, Jiayi Liu, Jiayin Liu, Jiaying Liu, Jiayu Liu, Jiayun Liu, Jiazhe Liu, Jiazheng Liu, Jiazhuo Liu, Jidan Liu, Jie Liu, Jie-Qing Liu, Jierong Liu, Jiewei Liu, Jiewen Liu, Jieying Liu, Jieyu Liu, Jihe Liu, Jiheng Liu, Jin Liu, Jin-Juan Liu, Jin-Qing Liu, Jinbao Liu, Jinbo Liu, Jincheng Liu, Jindi Liu, Jinfeng Liu, Jing Liu, Jing Min Liu, Jing-Crystal Liu, Jing-Hua Liu, Jing-Ying Liu, Jing-Yu Liu, Jingbo Liu, Jingchong Liu, Jingfang Liu, Jingfeng Liu, Jingfu Liu, Jinghui Liu, Jingjie Liu, Jingjing Liu, Jingmeng Liu, Jingmin Liu, Jingqi Liu, Jingquan Liu, Jingqun Liu, Jingsheng Liu, Jingwei Liu, Jingwen Liu, Jingxing Liu, Jingyi Liu, Jingying Liu, Jingyun Liu, Jingzhong Liu, Jinjie Liu, Jinlian Liu, Jinlong Liu, Jinman Liu, Jinpei Liu, Jinpeng Liu, Jinping Liu, Jinqin Liu, Jinrong Liu, Jinsheng Liu, Jinsong Liu, Jinsuo Liu, Jinxiang Liu, Jinxin Liu, Jinxing Liu, Jinyue Liu, Jinze Liu, Jinzhao Liu, Jinzhi Liu, Jiong Liu, Jishan Liu, Jitao Liu, Jiwei Liu, Jixin Liu, Jonathan Liu, Joyce F Liu, Joyce Liu, Ju Liu, Ju-Fang Liu, Juan Liu, Juanjuan Liu, Juanxi Liu, Jue Liu, Jui-Tung Liu, Jun Liu, Jun O Liu, Jun Ting Liu, Jun Yi Liu, Jun-Jen Liu, Jun-Yan Liu, Jun-Yi Liu, Junbao Liu, Junchao Liu, Junfen Liu, Junhui Liu, Junjiang Liu, Junjie Liu, Junjin Liu, Junjun Liu, Junlin Liu, Junling Liu, Junnian Liu, Junpeng Liu, Junqi Liu, Junrong Liu, Juntao Liu, Juntian Liu, Junwen Liu, Junwu Liu, Junxi Liu, Junyan Liu, Junye Liu, Junying Liu, Junyu Liu, Juyao Liu, Kai Liu, Kai-Zheng Liu, Kaidong Liu, Kaijing Liu, Kaikun Liu, Kaiqi Liu, Kaisheng Liu, Kaitai Liu, Kaiwen Liu, Kang Liu, Kang-le Liu, Kangdong Liu, Kangwei Liu, Kathleen D Liu, Ke Liu, Ke-Tong Liu, Kechun Liu, Kehui Liu, Kejia Liu, Keng-Hau Liu, Keqiang Liu, Kexin Liu, Kiang Liu, Kuangyi Liu, Kun Liu, Kun-Cheng Liu, Kwei-Yan Liu, L L Liu, L Liu, L W Liu, Lan Liu, Lan-Xiang Liu, Lang Liu, Lanhao Liu, Le Liu, Lebin Liu, Lei Liu, Lele Liu, Leping Liu, Li Liu, Li-Fang Liu, Li-Min Liu, Li-Rong Liu, Li-Wen Liu, Li-Xuan Liu, Li-Ying Liu, Li-ping Liu, Lian Liu, Lianfei Liu, Liang Liu, Liang-Chen Liu, Liang-Feng Liu, Liangguo Liu, Liangji Liu, Liangjia Liu, Liangliang Liu, Liangyu Liu, Lianxin Liu, Lianyong Liu, Libin Liu, Lichao Liu, Lichun Liu, Lidong Liu, Liegang Liu, Lifang Liu, Ligang Liu, Lihua Liu, Lijuan Liu, Lijun Liu, Lili Liu, Liling Liu, Limin Liu, Liming Liu, Lin Liu, Lina Liu, Ling Liu, Ling-Yun Liu, Ling-Zhi Liu, Lingfei Liu, Lingjiao Liu, Lingjuan Liu, Linglong Liu, Lingyan Liu, Lining Liu, Linlin Liu, Linqing Liu, Linwen Liu, Liping Liu, Liqing Liu, Liqiong Liu, Liqun Liu, Lirong Liu, Liru Liu, Liu Liu, Liumei Liu, Liusheng Liu, Liwen Liu, Lixia Liu, Lixian Liu, Lixiao Liu, Liying Liu, Liyue Liu, Lizhen Liu, Long Liu, Longfei Liu, Longjian Liu, Longqian Liu, Longyang Liu, Longzhou Liu, Lu Liu, Luhong Liu, Lulu Liu, Luming Liu, Lunxu Liu, Luping Liu, Lushan Liu, Lv Liu, M L Liu, M Liu, Man Liu, Man-Ru Liu, Manjiao Liu, Manqi Liu, Manran Liu, Maolin Liu, Mei Liu, Mei-mei Liu, Meicen Liu, Meifang Liu, Meijiao Liu, Meijing Liu, Meijuan Liu, Meijun Liu, Meiling Liu, Meimei Liu, Meixin Liu, Meiyan Liu, Meng Han Liu, Meng Liu, Meng-Hui Liu, Meng-Meng Liu, Meng-Yue Liu, Mengduan Liu, Mengfan Liu, Mengfei Liu, Menggang Liu, Menghan Liu, Menghua Liu, Menghui Liu, Mengjia Liu, Mengjiao Liu, Mengke Liu, Menglin Liu, Mengling Liu, Mengmei Liu, Mengqi Liu, Mengqian Liu, Mengxi Liu, Mengxue Liu, Mengyang Liu, Mengying Liu, Mengyu Liu, Mengyuan Liu, Mengzhen Liu, Mi Liu, Mi-Hua Liu, Mi-Min Liu, Miao Liu, Miaoliang Liu, Min Liu, Minda Liu, Minetta C Liu, Ming Liu, Ming-Jiang Liu, Ming-Qi Liu, Mingcheng Liu, Mingchun Liu, Mingfan Liu, Minghui Liu, Mingjiang Liu, Mingjing Liu, Mingjun Liu, Mingli Liu, Mingming Liu, Mingna Liu, Mingqin Liu, Mingrui Liu, Mingsen Liu, Mingsong Liu, Mingxiao Liu, Mingxing Liu, Mingxu Liu, Mingyang Liu, Mingyao Liu, Mingying Liu, Mingyu Liu, Minhao Liu, Minxia Liu, Mo-Nan Liu, Modan Liu, Mouze Liu, Muqiu Liu, Musang Liu, N A Liu, N Liu, Na Liu, Na-Nv Liu, Na-Wei Liu, Nai-feng Liu, Naihua Liu, Naili Liu, Nan Liu, Nan-Song Liu, Nana Liu, Nannan Liu, Nanxi Liu, Ni Liu, Nian Liu, Ning Liu, Ning'ang Liu, Ningning Liu, Niya Liu, Ou Liu, Ouxuan Liu, P C Liu, Pan Liu, Panhong Liu, Panting Liu, Paul Liu, Pei Liu, Pei-Ning Liu, Peijian Liu, Peijie Liu, Peijun Liu, Peilong Liu, Peiqi Liu, Peiqing Liu, Peiwei Liu, Peixi Liu, Peiyao Liu, Peizhong Liu, Peng Liu, Pengcheng Liu, Pengfei Liu, Penghong Liu, Pengli Liu, Pengtao Liu, Pengyu Liu, Pengyuan Liu, Pentao Liu, Peter S Liu, Piaopiao Liu, Pinduo Liu, Ping Liu, Ping-Yen Liu, Pinghuai Liu, Pingping Liu, Pingsheng Liu, Q Liu, Qi Liu, Qi-Xian Liu, Qian Liu, Qian-Wen Liu, Qiang Liu, Qiang-Yuan Liu, Qiangyun Liu, Qianjin Liu, Qianqi Liu, Qianshuo Liu, Qianwei Liu, Qiao-Hong Liu, Qiaofeng Liu, Qiaoyan Liu, Qiaozhen Liu, Qiji Liu, Qiming Liu, Qin Liu, Qinfang Liu, Qing Liu, Qing-Huai Liu, Qing-Rong Liu, Qingbin Liu, Qingbo Liu, Qingguang Liu, Qingguo Liu, Qinghao Liu, Qinghong Liu, Qinghua Liu, Qinghuai Liu, Qinghuan Liu, Qinglei Liu, Qingping Liu, Qingqing Liu, Qingquan Liu, Qingsong Liu, Qingxia Liu, Qingxiang Liu, Qingyang Liu, Qingyou Liu, Qingyun Liu, Qingzhuo Liu, Qinqin Liu, Qiong Liu, Qiu-Ping Liu, Qiulei Liu, Qiuli Liu, Qiulu Liu, Qiushi Liu, Qiuxu Liu, Qiuyu Liu, Qiuyue Liu, Qiwei Liu, Qiyao Liu, Qiye Liu, Qizhan Liu, Quan Liu, Quan-Jun Liu, Quanxin Liu, Quanying Liu, Quanzhong Liu, Quentin Liu, Qun Liu, Qunlong Liu, Qunpeng Liu, R F Liu, R Liu, R Y Liu, Ran Liu, Rangru Liu, Ranran Liu, Ren Liu, Renling Liu, Ri Liu, Rong Liu, Rong-Zong Liu, Rongfei Liu, Ronghua Liu, Rongxia Liu, Rongxun Liu, Rui Liu, Rui-Jie Liu, Rui-Tian Liu, Rui-Xuan Liu, Ruichen Liu, Ruihua Liu, Ruijie Liu, Ruijuan Liu, Ruilong Liu, Ruiping Liu, Ruiqi Liu, Ruitong Liu, Ruixia Liu, Ruiyi Liu, Ruizao Liu, Runjia Liu, Runjie Liu, Runni Liu, Runping Liu, Ruochen Liu, Ruotian Liu, Ruowen Liu, Ruoyang Liu, Ruyi Liu, Ruyue Liu, S Liu, Saiji Liu, Sasa Liu, Sen Liu, Senchen Liu, Senqi Liu, Sha Liu, Shan Liu, Shan-Shan Liu, Shandong Liu, Shang-Feng Liu, Shang-Xin Liu, Shangjing Liu, Shangxin Liu, Shangyu Liu, Shangyuan Liu, Shangyun Liu, Shanhui Liu, Shanling Liu, Shanshan Liu, Shao-Bin Liu, Shao-Jun Liu, Shao-Yuan Liu, Shaobo Liu, Shaocheng Liu, Shaohua Liu, Shaojun Liu, Shaoqing Liu, Shaowei Liu, Shaoying Liu, Shaoyou Liu, Shaoyu Liu, Shaozhen Liu, Shasha Liu, Sheng Liu, Shengbin Liu, Shengjun Liu, Shengnan Liu, Shengyang Liu, Shengzhi Liu, Shengzhuo Liu, Shenhai Liu, Shenping Liu, Shi Liu, Shi-Lian Liu, Shi-Wei Liu, Shi-Yong Liu, Shi-guo Liu, ShiWei Liu, Shih-Ping Liu, Shijia Liu, Shijian Liu, Shijie Liu, Shijun Liu, Shikai Liu, Shikun Liu, Shilin Liu, Shing-Hwa Liu, Shiping Liu, Shiqian Liu, Shiquan Liu, Shiru Liu, Shixi Liu, Shiyan Liu, Shiyang Liu, Shiying Liu, Shiyu Liu, Shiyuan Liu, Shou-Sheng Liu, Shouguo Liu, Shoupei Liu, Shouxin Liu, Shouyang Liu, Shu Liu, Shu-Chen Liu, Shu-Jing Liu, Shu-Lin Liu, Shu-Qiang Liu, Shu-Qin Liu, Shuai Liu, Shuaishuai Liu, Shuang Liu, Shuangli Liu, Shuangzhu Liu, Shuhong Liu, Shuhua Liu, Shui-Bing Liu, Shujie Liu, Shujing Liu, Shujun Liu, Shulin Liu, Shuling Liu, Shumin Liu, Shun-Mei Liu, Shunfang Liu, Shuning Liu, Shunming Liu, Shuqian Liu, Shuqing Liu, Shuwen Liu, Shuxi Liu, Shuxian Liu, Shuya Liu, Shuyan Liu, Shuyu Liu, Si-Jin Liu, Si-Xu Liu, Si-Yan Liu, Si-jun Liu, Sicheng Liu, Sidan Liu, Side Liu, Sihao Liu, Sijing Liu, Sijun Liu, Silvia Liu, Simin Liu, Sipu Liu, Siqi Liu, Siqin Liu, Siru Liu, Sirui Liu, Sisi Liu, Sitian Liu, Siwen Liu, Sixi Liu, Sixin Liu, Sixiu Liu, Sixu Liu, Siyao Liu, Siyi Liu, Siyu Liu, Siyuan Liu, Song Liu, Song-Fang Liu, Song-Mei Liu, Song-Ping Liu, Songfang Liu, Songhui Liu, Songqin Liu, Songsong Liu, Songyi Liu, Su Liu, Su-Yun Liu, Sudong Liu, Suhuan Liu, Sui-Feng Liu, Suling Liu, Suosi Liu, Sushuang Liu, Susu Liu, Szu-Heng Liu, T H Liu, T Liu, Ta-Chih Liu, Taihang Liu, Taixiang Liu, Tang Liu, Tao Liu, Taoli Liu, Taotao Liu, Te Liu, Teng Liu, Tengfei Liu, Tengli Liu, Teresa T Liu, Tian Liu, Tian Shu Liu, Tianhao Liu, Tianhu Liu, Tianjia Liu, Tianjiao Liu, Tianlai Liu, Tianlang Liu, Tianlong Liu, Tianqiang Liu, Tianrui Liu, Tianshu Liu, Tiantian Liu, Tianyao Liu, Tianyi Liu, Tianyu Liu, Tianze Liu, Tiemin Liu, Tina Liu, Ting Liu, Ting-Li Liu, Ting-Ting Liu, Ting-Yuan Liu, Tingjiao Liu, Tingting Liu, Tong Liu, Tonglin Liu, Tongtong Liu, Tongyan Liu, Tongyu Liu, Tongyun Liu, Tongzheng Liu, Tsang-Wu Liu, Tsung-Yun Liu, Vincent W S Liu, W Liu, W-Y Liu, Wan Liu, Wan-Chun Liu, Wan-Di Liu, Wan-Guo Liu, Wan-Ying Liu, Wang Liu, Wangrui Liu, Wanguo Liu, Wangyang Liu, Wanjun Liu, Wanli Liu, Wanlu Liu, Wanqi Liu, Wanqing Liu, Wanting Liu, Wei Liu, Wei-Chieh Liu, Wei-Hsuan Liu, Wei-Hua Liu, Weida Liu, Weifang Liu, Weifeng Liu, Weiguo Liu, Weihai Liu, Weihong Liu, Weijian Liu, Weijie Liu, Weijun Liu, Weilin Liu, Weimin Liu, Weiming Liu, Weina Liu, Weiqin Liu, Weiqing Liu, Weiren Liu, Weisheng Liu, Weishuo Liu, Weiwei Liu, Weiyang Liu, Wen Liu, Wen Yuan Liu, Wen-Chun Liu, Wen-Di Liu, Wen-Fang Liu, Wen-Jie Liu, Wen-Jing Liu, Wen-Qiang Liu, Wen-Tao Liu, Wen-ling Liu, Wenbang Liu, Wenbin Liu, Wenbo Liu, Wenchao Liu, Wenen Liu, Wenfeng Liu, Wenhan Liu, Wenhao Liu, Wenhua Liu, Wenjie Liu, Wenjing Liu, Wenlang Liu, Wenli Liu, Wenling Liu, Wenlong Liu, Wenna Liu, Wenping Liu, Wenqi Liu, Wenrui Liu, Wensheng Liu, Wentao Liu, Wenwu Liu, Wenxiang Liu, Wenxuan Liu, Wenya Liu, Wenyan Liu, Wenyi Liu, Wenzhong Liu, Wu Liu, Wuping Liu, Wuyang Liu, X C Liu, X Liu, X P Liu, X-D Liu, Xi Liu, Xi-Yu Liu, Xia Liu, Xia-Meng Liu, Xialin Liu, Xian Liu, Xianbao Liu, Xianchen Liu, Xianda Liu, Xiang Liu, Xiang-Qian Liu, Xiang-Yu Liu, Xiangchen Liu, Xiangfei Liu, Xianglan Liu, Xiangli Liu, Xiangliang Liu, Xianglu Liu, Xiangning Liu, Xiangping Liu, Xiangsheng Liu, Xiangtao Liu, Xiangting Liu, Xiangxiang Liu, Xiangxuan Liu, Xiangyong Liu, Xiangyu Liu, Xiangyun Liu, Xianli Liu, Xianling Liu, Xiansheng Liu, Xianyang Liu, Xiao Dong Liu, Xiao Liu, Xiao Yan Liu, Xiao-Cheng Liu, Xiao-Dan Liu, Xiao-Gang Liu, Xiao-Guang Liu, Xiao-Huan Liu, Xiao-Jiao Liu, Xiao-Li Liu, Xiao-Ling Liu, Xiao-Ning Liu, Xiao-Qiu Liu, Xiao-Qun Liu, Xiao-Rong Liu, Xiao-Song Liu, Xiao-Xiao Liu, Xiao-lan Liu, Xiaoan Liu, Xiaobai Liu, Xiaobei Liu, Xiaobing Liu, Xiaocen Liu, Xiaochuan Liu, Xiaocong Liu, Xiaodan Liu, Xiaoding Liu, Xiaodong Liu, Xiaofan Liu, Xiaofang Liu, Xiaofei Liu, Xiaogang Liu, Xiaoguang Liu, Xiaoguang Margaret Liu, Xiaohan Liu, Xiaoheng Liu, Xiaohong Liu, Xiaohua Liu, Xiaohuan Liu, Xiaohui Liu, Xiaojie Liu, Xiaojing Liu, Xiaoju Liu, Xiaojun Liu, Xiaole Shirley Liu, Xiaolei Liu, Xiaoli Liu, Xiaolin Liu, Xiaoling Liu, Xiaoman Liu, Xiaomei Liu, Xiaomeng Liu, Xiaomin Liu, Xiaoming Liu, Xiaona Liu, Xiaonan Liu, Xiaopeng Liu, Xiaoping Liu, Xiaoqian Liu, Xiaoqiang Liu, Xiaoqin Liu, Xiaoqing Liu, Xiaoran Liu, Xiaosong Liu, Xiaotian Liu, Xiaoting Liu, Xiaowei Liu, Xiaoxi Liu, Xiaoxia Liu, Xiaoxiao Liu, Xiaoxu Liu, Xiaoxue Liu, Xiaoya Liu, Xiaoyan Liu, Xiaoyang Liu, Xiaoye Liu, Xiaoying Liu, Xiaoyong Liu, Xiaoyu Liu, Xiawen Liu, Xibao Liu, Xibing Liu, Xie-hong Liu, Xiehe Liu, Xiguang Liu, Xijun Liu, Xili Liu, Xin Liu, Xin-Hua Liu, Xin-Yan Liu, Xinbo Liu, Xinchang Liu, Xing Liu, Xing-De Liu, Xing-Li Liu, Xing-Yang Liu, Xingbang Liu, Xingde Liu, Xinghua Liu, Xinghui Liu, Xingjing Liu, Xinglei Liu, Xingli Liu, Xinglong Liu, Xinguo Liu, Xingxiang Liu, Xingyi Liu, Xingyu Liu, Xinhua Liu, Xinjun Liu, Xinlei Liu, Xinli Liu, Xinmei Liu, Xinmin Liu, Xinran Liu, Xinru Liu, Xinrui Liu, Xintong Liu, Xinxin Liu, Xinyao Liu, Xinyi Liu, Xinying Liu, Xinyong Liu, Xinyu Liu, Xinyue Liu, Xiong Liu, Xiqiang Liu, Xiru Liu, Xishan Liu, Xiu Liu, Xiufen Liu, Xiufeng Liu, Xiuheng Liu, Xiuling Liu, Xiumei Liu, Xiuqin Liu, Xiyong Liu, Xu Liu, Xu-Dong Liu, Xu-Hui Liu, Xuan Liu, Xuanlin Liu, Xuanyu Liu, Xuanzhu Liu, Xue Liu, Xue-Lian Liu, Xue-Min Liu, Xue-Qing Liu, Xue-Zheng Liu, Xuefang Liu, Xuejing Liu, Xuekui Liu, Xuelan Liu, Xueling Liu, Xuemei Liu, Xuemeng Liu, Xuemin Liu, Xueping Liu, Xueqin Liu, Xueqing Liu, Xueru Liu, Xuesen Liu, Xueshibojie Liu, Xuesong Liu, Xueting Liu, Xuewei Liu, Xuewen Liu, Xuexiu Liu, Xueying Liu, Xueyuan Liu, Xuezhen Liu, Xuezheng Liu, Xuezhi Liu, Xufeng Liu, Xuguang Liu, Xujie Liu, Xulin Liu, Xuming Liu, Xunhua Liu, Xunyue Liu, Xuxia Liu, Xuxu Liu, Xuyi Liu, Xuying Liu, Y H Liu, Y L Liu, Y Liu, Y Y Liu, Ya Liu, Ya-Jin Liu, Ya-Kun Liu, Ya-Wei Liu, Yadong Liu, Yafei Liu, Yajing Liu, Yajuan Liu, Yaling Liu, Yalu Liu, Yan Liu, Yan-Li Liu, Yanan Liu, Yanchao Liu, Yanchen Liu, Yandong Liu, Yanfei Liu, Yanfen Liu, Yanfeng Liu, Yang Liu, Yange Liu, Yangfan Liu, Yangfan P Liu, Yangjun Liu, Yangkai Liu, Yangruiyu Liu, Yangyang Liu, Yanhong Liu, Yanhua Liu, Yanhui Liu, Yanjie Liu, Yanju Liu, Yanjun Liu, Yankuo Liu, Yanli Liu, Yanliang Liu, Yanling Liu, Yanman Liu, Yanmin Liu, Yanping Liu, Yanqing Liu, Yanqiu Liu, Yanquan Liu, Yanru Liu, Yansheng Liu, Yansong Liu, Yanting Liu, Yanwu Liu, Yanxiao Liu, Yanyan Liu, Yanyao Liu, Yanying Liu, Yanyun Liu, Yao Liu, Yao-Hui Liu, Yaobo Liu, Yaoquan Liu, Yaou Liu, Yaowen Liu, Yaoyao Liu, Yaozhong Liu, Yaping Liu, Yaqiong Liu, Yarong Liu, Yaru Liu, Yating Liu, Yaxin Liu, Ye Liu, Ye-Dan Liu, Yehai Liu, Yen-Chen Liu, Yen-Chun Liu, Yen-Nien Liu, Yeqing Liu, Yi Liu, Yi-Chang Liu, Yi-Chien Liu, Yi-Han Liu, Yi-Hung Liu, Yi-Jia Liu, Yi-Ling Liu, Yi-Meng Liu, Yi-Ming Liu, Yi-Yun Liu, Yi-Zhang Liu, YiRan Liu, Yibin Liu, Yibing Liu, Yicun Liu, Yidan Liu, Yidong Liu, Yifan Liu, Yifu Liu, Yihao Liu, Yiheng Liu, Yihui Liu, Yijing Liu, Yilei Liu, Yili Liu, Yilin Liu, Yimei Liu, Yiming Liu, Yin Liu, Yin-Ping Liu, Yinchu Liu, Yinfang Liu, Ying Liu, Ying Poi Liu, Yingchun Liu, Yinghua Liu, Yinghuan Liu, Yinghui Liu, Yingjun Liu, Yingli Liu, Yingwei Liu, Yingxia Liu, Yingyan Liu, Yingyi Liu, Yingying Liu, Yingzi Liu, Yinhe Liu, Yinhui Liu, Yining Liu, Yinjiang Liu, Yinping Liu, Yinuo Liu, Yiping Liu, Yiqing Liu, Yitian Liu, Yiting Liu, Yitong Liu, Yiwei Liu, Yiwen Liu, Yixiang Liu, Yixiao Liu, Yixuan Liu, Yiyang Liu, Yiyi Liu, Yiyuan Liu, Yiyun Liu, Yizhi Liu, Yizhuo Liu, Yong Liu, Yong Mei Liu, Yong-Chao Liu, Yong-Hong Liu, Yong-Jian Liu, Yong-Jun Liu, Yong-Tai Liu, Yong-da Liu, Yongchao Liu, Yonggang Liu, Yonggao Liu, Yonghong Liu, Yonghua Liu, Yongjian Liu, Yongjie Liu, Yongjun Liu, Yongli Liu, Yongmei Liu, Yongming Liu, Yongqiang Liu, Yongshuo Liu, Yongtai Liu, Yongtao Liu, Yongtong Liu, Yongxiao Liu, Yongyue Liu, You Liu, You-ping Liu, Youan Liu, Youbin Liu, Youdong Liu, Youhan Liu, Youlian Liu, Youwen Liu, Yu Liu, Yu Xuan Liu, Yu-Chen Liu, Yu-Ching Liu, Yu-Hui Liu, Yu-Li Liu, Yu-Lin Liu, Yu-Peng Liu, Yu-Wei Liu, Yu-Zhang Liu, YuHeng Liu, Yuan Liu, Yuan-Bo Liu, Yuan-Jie Liu, Yuan-Tao Liu, YuanHua Liu, Yuanchu Liu, Yuanfa Liu, Yuanhang Liu, Yuanhui Liu, Yuanjia Liu, Yuanjiao Liu, Yuanjun Liu, Yuanliang Liu, Yuantao Liu, Yuantong Liu, Yuanxiang Liu, Yuanxin Liu, Yuanxing Liu, Yuanying Liu, Yuanyuan Liu, Yubin Liu, Yuchen Liu, Yue Liu, Yuecheng Liu, Yuefang Liu, Yuehong Liu, Yueli Liu, Yueping Liu, Yuetong Liu, Yuexi Liu, Yuexin Liu, Yuexing Liu, Yueyang Liu, Yueyun Liu, Yufan Liu, Yufei Liu, Yufeng Liu, Yuhao Liu, Yuhe Liu, Yujia Liu, Yujiang Liu, Yujie Liu, Yujun Liu, Yulan Liu, Yuling Liu, Yulong Liu, Yumei Liu, Yumiao Liu, Yun Liu, Yun-Cai Liu, Yun-Qiang Liu, Yun-Ru Liu, Yun-Zi Liu, Yunfen Liu, Yunfeng Liu, Yuning Liu, Yunjie Liu, Yunlong Liu, Yunqi Liu, Yunqiang Liu, Yuntao Liu, Yunuan Liu, Yunuo Liu, Yunxia Liu, Yunyun Liu, Yuping Liu, Yupu Liu, Yuqi Liu, Yuqiang Liu, Yuqing Liu, Yurong Liu, Yuru Liu, Yusen Liu, Yutao Liu, Yutian Liu, Yuting Liu, Yutong Liu, Yuwei Liu, Yuxi Liu, Yuxia Liu, Yuxiang Liu, Yuxin Liu, Yuxuan Liu, Yuyan Liu, Yuyi Liu, Yuyu Liu, Yuyuan Liu, Yuzhen Liu, Yv-Xuan Liu, Z H Liu, Z Q Liu, Z Z Liu, Zaiqiang Liu, Zan Liu, Zaoqu Liu, Ze Liu, Zefeng Liu, Zekun Liu, Zeming Liu, Zengfu Liu, Zeyu Liu, Zezhou Liu, Zhangyu Liu, Zhangyuan Liu, Zhansheng Liu, Zhao Liu, Zhaoguo Liu, Zhaoli Liu, Zhaorui Liu, Zhaotian Liu, Zhaoxiang Liu, Zhaoxun Liu, Zhaoyang Liu, Zhe Liu, Zhekai Liu, Zheliang Liu, Zhen Liu, Zhen-Lin Liu, Zhendong Liu, Zhenfang Liu, Zhenfeng Liu, Zheng Liu, Zheng-Hong Liu, Zheng-Yu Liu, ZhengYi Liu, Zhengbing Liu, Zhengchuang Liu, Zhengdong Liu, Zhenghao Liu, Zhengkun Liu, Zhengtang Liu, Zhengting Liu, Zhenguo Liu, Zhengxia Liu, Zhengye Liu, Zhenhai Liu, Zhenhao Liu, Zhenhua Liu, Zhenjiang Liu, Zhenjiao Liu, Zhenjie Liu, Zhenkui Liu, Zhenlei Liu, Zhenmi Liu, Zhenming Liu, Zhenna Liu, Zhenqiu Liu, Zhenwei Liu, Zhenxing Liu, Zhenxiu Liu, Zhenzhen Liu, Zhenzhu Liu, Zhi Liu, Zhi Y Liu, Zhi-Fen Liu, Zhi-Guo Liu, Zhi-Jie Liu, Zhi-Kai Liu, Zhi-Ping Liu, Zhi-Ren Liu, Zhi-Wen Liu, Zhi-Ying Liu, Zhicheng Liu, Zhifang Liu, Zhigang Liu, Zhiguo Liu, Zhihan Liu, Zhihao Liu, Zhihong Liu, Zhihua Liu, Zhihui Liu, Zhijia Liu, Zhijie Liu, Zhikui Liu, Zhili Liu, Zhiming Liu, Zhipeng Liu, Zhiping Liu, Zhiqian Liu, Zhiqiang Liu, Zhiru Liu, Zhirui Liu, Zhishuo Liu, Zhitao Liu, Zhiteng Liu, Zhiwei Liu, Zhixiang Liu, Zhixue Liu, Zhiyan Liu, Zhiying Liu, Zhiyong Liu, Zhiyuan Liu, Zhong Liu, Zhong Wu Liu, Zhong-Hua Liu, Zhong-Min Liu, Zhong-Qiu Liu, Zhong-Wu Liu, Zhong-Ying Liu, Zhongchun Liu, Zhongguo Liu, Zhonghua Liu, Zhongjian Liu, Zhongjuan Liu, Zhongmin Liu, Zhongqi Liu, Zhongqiu Liu, Zhongwei Liu, Zhongyu Liu, Zhongyue Liu, Zhongzhong Liu, Zhou Liu, Zhou-di Liu, Zhu Liu, Zhuangjun Liu, Zhuanhua Liu, Zhuo Liu, Zhuoyuan Liu, Zi Hao Liu, Zi-Hao Liu, Zi-Lun Liu, Zi-Ye Liu, Zi-wen Liu, Zichuan Liu, Zihang Liu, Zihao Liu, Zihe Liu, Ziheng Liu, Zijia Liu, Zijian Liu, Zijing J Liu, Zimeng Liu, Ziqian Liu, Ziqin Liu, Ziteng Liu, Zitian Liu, Ziwei Liu, Zixi Liu, Zixuan Liu, Ziyang Liu, Ziying Liu, Ziyou Liu, Ziyuan Liu, Ziyue Liu, Zong-Chao Liu, Zong-Yuan Liu, Zonghua Liu, Zongjun Liu, Zongtao Liu, Zongxiang Liu, Zu-Guo Liu, Zuguo Liu, Zuohua Liu, Zuojin Liu, Zuolu Liu, Zuyi Liu, Zuyun Liu
articles
Zhongyu Liu, Gongda Li, Wenwen Li +3 more · 2026 · Metabolic brain disease · Springer · added 2026-04-24
📄 PDF DOI: 10.1007/s11011-026-01861-5
BDNF
Taiqi Huang, Meiyu Zhang, Yanyu Zhang +7 more · 2026 · Zoological research · added 2026-04-24
Impaired nuclear translocation of glucocorticoid receptor (GR) has been implicated in hippocampal vulnerability in Alzheimer's disease (AD), yet the molecular basis of this defect remains poorly under Show more
Impaired nuclear translocation of glucocorticoid receptor (GR) has been implicated in hippocampal vulnerability in Alzheimer's disease (AD), yet the molecular basis of this defect remains poorly understood. This study identified Huntingtin-associated protein 1 (Hap1) as a critical regulator of GR nuclear translocation in the hippocampus. Specifically, Hap1 expression progressively declined in the hippocampus of APP/PS1 mice with advancing age and pathological burden. Hippocampal Hap1 knockdown induced pronounced cognitive deficits and synaptic deterioration, as indicated by reduced dendritic arborization, decreased spine density, impaired long-term potentiation, and exacerbated amyloid-β deposition. Mechanistic analyses showed that Hap1 deficiency increased GR ubiquitination and proteasomal degradation and, more importantly, disrupted ligand-dependent GR translocation to the nucleus, thereby attenuating GR-dependent brain-derived neurotrophic factor transcription. In parallel, Hap1 knockdown elevated corticosterone concentration and induced depression-like behavior, consistent with hypothalamic-pituitary-adrenal axis dysregulation. Collectively, these findings establish defective GR nuclear trafficking driven by loss of Hap1 function as a key pathomechanism linking intracellular transport failure to synaptic dysfunction in AD and highlight Hap1 as a potential therapeutic target. Show less
no PDF DOI: 10.24272/j.issn.2095-8137.2025.436
BDNF alzheimer's disease glucocorticoid receptor hap1 hippocampal neuropathology nuclear translocation
Xianghui Zheng, Yunqi Li, Peiyao Wang +15 more · 2026 · Clinical and translational medicine · Wiley · added 2026-04-24
Chronic psychological stress drives neuroimmune crosstalk and accelerates atherosclerosis progression. Physical exercise confers broad health benefits and is associated with reduced inflammation. Howe Show more
Chronic psychological stress drives neuroimmune crosstalk and accelerates atherosclerosis progression. Physical exercise confers broad health benefits and is associated with reduced inflammation. However, the exercise-mediated factors and mechanisms that mitigate stress-induced vascular inflammation remain unclear. Chronic restraint stress (CRS) and voluntary exercise models were established to investigate the role of exercise in neuroimmune crosstalk. RNA sequencing identified kinesin family member 4 (Kif4) as a key gene associated with the attenuation of stress-induced inflammatory responses in peripheral blood monocytes following exercise. Combined co-immunoprecipitation-mass spectrometry and membrane proteomics identified T cell-interacting activating receptors on myeloid cell 1 (TARM1) as the Kif4 cargo. The function of TARM1 was validated using an immobilized TARM1-Fc fusion protein. Brain-derived neurotrophic factor (BDNF), a key effector during exercise and stress, regulated the Kif4-TARM1 axis using recombinant BDNF (rBDNF) and the TrkB inhibitor ANA-12. Finally, exercise-mediated effects and mechanisms were examined in atherosclerotic CRS-exposed mouse models and in patients with coronary artery disease (CAD) experiencing high psychological stress. Physical exercise alleviated stress-induced neuroimmune crosstalk, reduced the proinflammatory CD11b Physical exercise alleviates stress-induced neuroimmune crosstalk through the BDNF-Kif4-TARM1 axis, revealing a novel neuroimmune-mediated brain-heart axis that supports exercise-based therapeutic strategies for psychogenic CAD. Chronic psychological stress drives systemic inflammation through neuroimmune mechanisms, thereby accelerating the progression of coronary artery disease (CAD). Physical exercise alleviates stress-induced neuroimmune crosstalk, partly by suppressing proinflammatory responses in monocytes/macrophages. This study provides novel insights into exercise-regulated neuroimmune mechanisms involving the monocyte BDNF-Kif4-TARM1 axis. In both an atherosclerotic mouse model and patients with CAD, exercise mitigated stress-induced inflammation via the BDNF-Kif4-TARM1 axis. Show less
📄 PDF DOI: 10.1002/ctm2.70674
BDNF
Wei Zhang, Mei Liu, Ronghua Wu · 2026 · Current neuropharmacology · Bentham Science · added 2026-04-24
The repair mechanisms following sciatic nerve injury involve complex signaling interactions between neurons and microglia. Recent studies have demonstrated that neurons activate microglia by releasing Show more
The repair mechanisms following sciatic nerve injury involve complex signaling interactions between neurons and microglia. Recent studies have demonstrated that neurons activate microglia by releasing chemokines, glutamate, and neurotrophic factors. In turn, microglia regulate neuronal survival and regeneration via phagocytosis, phenotypic switching, and secretion of growth factors. However, the spatiotemporal diversity of signaling pathways, metabolic regulation of the microenvironment, and barriers to clinical application remain inadequately addressed. This review provides a comprehensive analysis of morphological and functional changes in neuronal cell bodies and of the activation and regulatory mechanisms of microglia after sciatic nerve injury. It highlights the dynamic interaction network encompassing the ATP-P2X7 signaling pathway, the CX3CL1- CX3CR1 pathway, the CCL2-CCR2 chemokine axis, the BDNF-TrkB pathway, and inflammatory mediators, offering novel insights into precision therapeutic strategies targeting neuron-glial interactions. Show less
no PDF DOI: 10.2174/011570159X435745251229091943
BDNF metabolic regulation microenvironment neuron-microglia interactions neurotrophic factors regeneration sciatic nerve injury signaling pathways
Shenglin Yan, Weican Chen, Yuxin Huang +3 more · 2026 · Cellular and molecular neurobiology · Springer · added 2026-04-24
no PDF DOI: 10.1007/s10571-026-01719-5
BDNF ampk becn1 exosome-based therapy exosomes pathway traumatic brain injury
Fengmao Zou, Xiangyu Ren, Guilan Huo +2 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
As a progressive neurological degenerative disorder, Alzheimer's disease (AD) remains a significant concern, with the lack of effective cures burdening healthcare resources and posing ongoing obstacle Show more
As a progressive neurological degenerative disorder, Alzheimer's disease (AD) remains a significant concern, with the lack of effective cures burdening healthcare resources and posing ongoing obstacles for scientific research in neuroscience. Tianwang Buxin Pills (TWBXP) is a traditional Chinese medicinal formula long employed for treating amnesia and cognitive decline, and has shown promising potential in AD treatment. Nevertheless, the detailed mechanisms responsible for these effects warrant further investigation. This study seeks to systematically evaluate the impact of TWBXP on cognition, neuronal damage, and synaptic plasticity in AD mice, while clarifying its underlying therapeutic mechanisms. HPLC-UV was employed to ensure the quality of TWBXP. APP/PS1 mice were administered TWBXP (0.43, 0.85, 1.70 g/kg) for 8 weeks, and cognitive performance was assessed using behavioral tests. AD-related pathology was evaluated by Immunohistochemistry (IHC), Western blotting, ELISA, Transmission electron microscopy (TEM), and Immunofluorescence (IF). The integration of Network Pharmacology and Proteomics was conducted for the exploration of potential mechanisms. TWBXP markedly improved cognitive performance and reduced cerebral Aβ burden. It promoted microglial polarization toward an M2 phenotype, dampened neuroinflammation, and enhanced microglia-associated Aβ clearance. TWBXP also exerted marked neuroprotective and synaptic protective effects by increasing NeuN, MAP2, and MBP levels, restoring synaptic proteins (PSD95, SYP) and neurotrophic factors (BDNF, NGF), reducing neuronal loss and functional impairment, and improving synaptic plasticity. Such effects might be associated with the enhanced activity of the cAMP/PKA/NR2B/CaMKⅡ signaling axis. TWBXP significantly ameliorated cognitive impairment and AD-related pathological changes in APP/PS1 mice, accompanied by improvements in neuronal injury and synaptic plasticity. Its therapeutic effects may be associated with the regulation of microglial function and the cAMP/PKA/NR2B/CaMKII signaling axis. Show less
no PDF DOI: 10.1016/j.jep.2026.121683
BDNF
Jing Li, Chengsi Li, Chengyingjie Yang +5 more · 2026 · Peptides · Elsevier · added 2026-04-24
Critical limb ischemia (CLI) represents a severe vascular complication of type 2 diabetes, primarily driven by impaired angiogenic capacity, and frequently results in limb amputation or mortality. Her Show more
Critical limb ischemia (CLI) represents a severe vascular complication of type 2 diabetes, primarily driven by impaired angiogenic capacity, and frequently results in limb amputation or mortality. Here, we investigated the therapeutic potential of tirzepatide in promoting perfusion recovery in diabetic hindlimb ischemia and delineated the underlying molecular mechanisms. Human umbilical vein endothelial cells (HUVECs) exposed to high glucose were employed to evaluate tirzepatide's effects on endothelial proliferation, migration, and tube formation, alongside the activation of Akt, endothelial nitric oxide synthase (eNOS), and extracellular signal-regulated kinase 1/2 (ERK1/2) signaling, assessed by western blotting. Knockdown of GLP-1R or GIPR abrogated the pro-angiogenic effects of tirzepatide, while pharmacological inhibition of the Akt/eNOS or ERK1/2 pathways attenuated endothelial responses. In vivo, tirzepatide treatment significantly enhanced perfusion recovery and increased capillary density in the ischemic limbs of diabetic mice, corroborating its angiogenic effects. Collectively, these findings demonstrate that tirzepatide facilitates angiogenesis and accelerates ischemic limb revascularization through dual GLP-1R/GIPR activation and subsequent engagement of Akt/eNOS and ERK1/2 signaling pathways, highlighting its potential as a therapeutic strategy for diabetic CLI. Show less
no PDF DOI: 10.1016/j.peptides.2026.171489
GIPR
Mengjie Kang, HaoLin Ren, Yanru Zhen +10 more · 2026 · Archives of pharmacal research · Springer · added 2026-04-24
Tirzepatide (TZP), a novel dual agonist of glucagon-like peptide (GLP)-1/glucose-dependent insulinotropic polypeptide (GIP) receptors (GLP-1R/GIPR), has been shown to reduce cardiovascular (CV) risk i Show more
Tirzepatide (TZP), a novel dual agonist of glucagon-like peptide (GLP)-1/glucose-dependent insulinotropic polypeptide (GIP) receptors (GLP-1R/GIPR), has been shown to reduce cardiovascular (CV) risk in patients with diabetes or obesity. This study investigated anti-atherosclerotic effects of TZP and the underlying mechanisms using apo E Show less
📄 PDF DOI: 10.1007/s12272-026-01610-3
GIPR
Beibei Guo, Yan Yue, Xiaoqian Luo +8 more · 2026 · Cytoskeleton (Hoboken, N.J.) · Wiley · added 2026-04-24
Our understanding of the intrinsic mechanisms that drive the regeneration of damaged axons after a spinal cord injury is still limited. Microtubules are core components of the eukaryotic cytoskeleton Show more
Our understanding of the intrinsic mechanisms that drive the regeneration of damaged axons after a spinal cord injury is still limited. Microtubules are core components of the eukaryotic cytoskeleton and are essential for axonal growth, in part because their stability is governed by post-translational modifications in mature neurons. Glucose-dependent insulinotropic polypeptide (GIP) and its receptor (GIPR) are expressed in multiple extra-pancreatic tissues, suggesting biological functions beyond classical endocrine signaling; however, their roles in neuronal cytoskeletal regulation are not well defined. Here, we investigated the effects of GIP in cultured cortical neurons. GIP enhanced microtubule stability and increased the number of axons crossing an inhibitory chondroitin sulfate proteoglycan (CSPG) border. Mechanistically, GIP promoted microtubule acetylation via α-tubulin N-acetyltransferase 1 (αTAT1), the major acetyltransferase for α-tubulin, by suppressing αTAT1 ubiquitination and thereby reducing its proteasomal degradation in inhibitory environments. Although the upstream mechanism remains to be determined, this study provides the first evidence that GIP/GIPR signaling modulates microtubule dynamics, highlighting a potential strategy to re-activate neuronal growth machinery after injury. Show less
no PDF DOI: 10.1002/cm.70107
GIPR
Saki Kubota-Okamoto, Sodai Kubota, Hiromi Tsuchida +15 more · 2026 · Journal of diabetes investigation · Blackwell Publishing · added 2026-04-24
Dipeptidyl peptidase-4 (DPP-4) inhibitors enhance circulating levels of biologically intact incretins, yet the relative contribution of glucose-dependent insulinotropic polypeptide (GIP) to their meta Show more
Dipeptidyl peptidase-4 (DPP-4) inhibitors enhance circulating levels of biologically intact incretins, yet the relative contribution of glucose-dependent insulinotropic polypeptide (GIP) to their metabolic effects remains incompletely understood. While glucagon-like peptide-1 (GLP-1) has long been emphasized in incretin biology, emerging evidence suggests important physiological roles for GIP. This study investigated whether endogenous GIP signaling is indispensable for the glucose-lowering and anti-obesity effects of DPP-4 inhibition. Male Gipr DPP-4 inhibition significantly improved glucose tolerance and attenuated body-weight gain in HFD-fed Gipr Endogenous GIP signaling is essential for both glucose-lowering and anti-obesity actions of DPP-4 inhibitors in mice. GLP-1 elevation alone is insufficient to compensate for GIP receptor deficiency. These findings refined the mechanistic understanding of DPP-4 inhibitors, highlighted the physiological importance of GIP, and suggested context-dependent metabolic actions of incretins. Show less
📄 PDF DOI: 10.1111/jdi.70252
GIPR
Wondossen Ayalew, Guangzhen Li, Yuqiang Liu +6 more · 2026 · Journal of animal science and biotechnology · BioMed Central · added 2026-04-24
Selective breeding has substantially improved productive and reproductive traits in pigs. Yet, these traits are biologically interconnected, and selection for one often affects others in unintended wa Show more
Selective breeding has substantially improved productive and reproductive traits in pigs. Yet, these traits are biologically interconnected, and selection for one often affects others in unintended ways. While genome-wide association studies (GWAS) have uncovered many loci linked to these traits, they provide limited insight into causal mechanisms. Mendelian randomization (MR) provides a robust framework for inferring causality and identifying shared genetic determinants. Here, we integrated MR, colocalization, and functional genomics to investigate the biological links between growth, carcass composition, and reproduction in pigs. Using average daily gain (ADG) as the exposure, MR revealed potentially significant causal effects (P < 0.05) of ADG on carcass composition traits, including backfat thickness (BFT: Our findings suggest a shared genetic architecture and provide potential evidence of a causal influence of ADG on carcass composition and reproductive traits in pigs. This integrative framework supports the development of multi-trait breeding strategies that enhance productivity while managing inherent trade-offs in regulating complex traits. Show less
📄 PDF DOI: 10.1186/s40104-026-01363-5
MC4R
Wei Ge, Yu Feng, Li Zhang +9 more · 2026 · Neuroscience bulletin · Springer · added 2026-04-24
Endoplasmic reticulum (ER) stress plays a significant role in chronic pain, but its potential involvement in chronic itch remains largely unexplored and poorly understood. In the current study, we inv Show more
Endoplasmic reticulum (ER) stress plays a significant role in chronic pain, but its potential involvement in chronic itch remains largely unexplored and poorly understood. In the current study, we investigated whether ER stress signaling in keratinocytes contributes to the pathogenesis of chronic itch. Our behavioral tests showed that the ER stress inhibitor 4-PBA attenuated itch-related behaviors in both acute and chronic itching mouse models, and reduced compound 48/80 and serotonin-induced activity of dorsal root ganglion (DRG) neurons. qPCR and western blotting revealed that the ER stress-related proteins and Lipocalin-2 (LCN2) were significantly elevated in the affected skin under chronic itch conditions and in cultured keratinocyte HaCaT cells and mice skin keratinocytes. The ELISA test showed that the level of LCN2 increased significantly in plasma but not in DRG tissue, from both acetone-ether-water (AEW) induced dry skin and imiquimod (IMQ) induced psoriasis model mice. Current clamp recording demonstrated that LCN2 induced hyperexcitability in dorsal root ganglia neurons, which could be abolished by HS024, the inhibitor of melanocortin receptor 4 (MC4R). In addition, pharmacological inhibition of transient receptor potential vanilloid 1 (TRPV1) or TRPV1 knockout blocked LCN2-induced hyperexcitability in DRG neurons. In conclusion, this study demonstrated that keratinocyte ER stress is involved in chronic itch genesis by releasing LCN2, which sensitized primary sensory neurons via TRPV1. These findings suggested that inhibition of ER stress in keratinocytes could be a promising therapeutic strategy for treating chronic itch. Show less
📄 PDF DOI: 10.1007/s12264-026-01600-x
MC4R
Lingyao Xu, Jinyun Jiang, Yizheng Zhuang +13 more · 2026 · BMC biology · BioMed Central · added 2026-04-24
The large-scale development of pig farming has introduced significant stressors that negatively affect pigs' mental health, behavior, and production efficiency. The hippocampus, crucial for cognition Show more
The large-scale development of pig farming has introduced significant stressors that negatively affect pigs' mental health, behavior, and production efficiency. The hippocampus, crucial for cognition and stress response regulation, plays a central role in these processes. However, the regulatory mechanisms underlying hippocampal function across pig breeds with different domestication statuses and their implications for behavior and breeding strategies remain unclear. We performed single-nucleus RNA sequencing (snRNA-seq) on hippocampal tissues from 22,342 cells across three pig breeds: Asian wild boar, Jinhua, and Duroc, representing different domestication statuses. We identified six major hippocampal cell types and annotated 108 breed-specific transcription factors, including GATA2, SPI1, and EBF1. Additionally, we characterized 83 co-expression modules and 50 significant ligand-receptor pairs, such as TGFβ, WNT, and SPP1, revealing complex intercellular communication networks. Oligodendrocyte expression patterns were conserved across all breeds. We identified 194 candidate genes linked to stress resilience, mental health, and feeding behavior, including MC4R, RYR2, PDE10A, and ABCG2. Alzheimer's disease-related gene enrichment was lower in Duroc pigs, consistent with reduced APOE expression. We also developed the Pig Hippocampus Single-cell Atlas (PHiSA, http://alphaindex.zju.edu.cn:8503/ ), an open-access database allowing breed-specific hippocampal analyses and validation of gene expression at the single-nucleus level. This study offers insights into hippocampal function regulation in pigs, focusing on stress resilience, behavior, and productivity. It highlights conserved and breed-specific molecular features of hippocampal cell types and their roles in adaptability and mental health. By integrating single-nucleus data, the research suggests that genetic strategies could be used to improve animal welfare, stress management, and production efficiency in pig breeding programs. Show less
📄 PDF DOI: 10.1186/s12915-026-02560-4
MC4R
Yuta Yang, Peiyao Liu, Taotao Yan +7 more · 2026 · Journal of animal science · Oxford University Press · added 2026-04-24
The melanocortin-4 receptor (MC4R), a key regulator of energy balance and feeding behavior, plays a critical role in sheep growth. Herein, we identified a naturally occurring conserved functional SNP Show more
The melanocortin-4 receptor (MC4R), a key regulator of energy balance and feeding behavior, plays a critical role in sheep growth. Herein, we identified a naturally occurring conserved functional SNP (g.59480661G > A, E100K, P.Glu100Lys) in the sheep MC4R gene. Using the Kompetitive Allele Specific PCR method, we detected this mutation in 2,151 sheep from six different breeds. Association analysis revealed that this mutation affects the growth traits of Luxi Blackhead sheep, and the individuals with AA (K100) genotype exhibited superior growth performance compared to the GG (E100) genotype. Additionally, whole-genome sequencing data from 49 sheep breeds, totaling 968 individuals, showed a higher mutation frequency of this variant in some large-sized sheep breeds. Functional studies demonstrated that the E100K mutation does not affect protein localization or transport but reduces surface and total protein expression. The mutated receptor exhibited decreased basal activity and reduced binding efficiency with agonists (α-MSH and β-MSH), resulting in a partial loss of function. Transcriptomic analysis indicated that this mutation affects downstream pathways, including osteoclast differentiation and the MAPK signaling pathway, which may influence growth regulation associated with the E100K mutation. Collectively, these findings underscore the substantial role of the partial loss-of-function MC4R E100K mutation in regulating growth traits in sheep. Show less
📄 PDF DOI: 10.1093/jas/skag011
MC4R
Xia Li, Zihao Xie, Hangbing Cao +10 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Silica exposure precipitates irreversible lung injury; however, its long-term neurological sequelae—and the microglial mechanisms underlying these effects—remain poorly understood. Here, we demonstrat Show more
Silica exposure precipitates irreversible lung injury; however, its long-term neurological sequelae—and the microglial mechanisms underlying these effects—remain poorly understood. Here, we demonstrate that inhaled crystalline silica induces persistent hippocampal inflammation, anxiety- and depression-like behaviors, and neuronal loss in mice. Bulk RNA sequencing, immunophenotyping, and pharmacological depletion studies revealed that microglia are the primary source of complement C1q in silica-exposed brains. Mechanistically, silica-induced lipocalin-2 (LCN2) engages the melanocortin-4 receptor (MC4R) on microglia, activating a cAMP/PKA/NF-κB cascade that transcriptionally upregulates C1q. Pharmacological blockade of MC4R (using PF) abolished C1q overproduction, normalized brain-derived neurotrophic factor levels, and restored both synaptic integrity and behavioral performance. Our findings establish the LCN2–MC4R–C1q axis as a critical microglial pathway in silica-related neurotoxicity and identify MC4R antagonism as a promising, readily translatable intervention for occupational neuroinflammation. The online version contains supplementary material available at 10.1186/s12974-026-03695-5. Show less
📄 PDF DOI: 10.1186/s12974-026-03695-5
MC4R
Chenxu Ge, Jiamao Lin, Changsheng Yang +19 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Particulate matter ≤2.5 µm (PM
📄 PDF DOI: 10.1002/advs.202508458
MC4R
Weina Wang, Yuwei Liu, Sheng Dong +6 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Human genetic analyses have identified numerous single-nucleotide polymorphism (SNP) loci in noncoding regions associated with obesity-related traits; however, the functional contributions of such SNP Show more
Human genetic analyses have identified numerous single-nucleotide polymorphism (SNP) loci in noncoding regions associated with obesity-related traits; however, the functional contributions of such SNP loci to obesity are largely unknown. The noncoding variant rs713586, with its risk allele C, is linked to two candidate genes, DNAJC27 and ADCY3, potentially implicated in obesity. However, whether rs713586 primary targets ADCY3 or DNAJC27 gene to regulate body weight and what molecular mechanisms underlie this process remain unclear. We conducted bioinformatics analyses using BMI data from the UK biobank and GIANT consortium, and prioritised functional variants on chromosome 2 linked to ADCY3 gene for experimental validation. The variant rs713586 was identified as a functional regulator of ADCY3 and DNAJC27 expression. We investigated the molecular mechanisms by which rs713586 participates in obesity through epigenetic regulation. Dual-luciferase reporter assay and genome-editing in cell lines were conducted to assess the impacts of the rs713586-C risk allele or a proximal enhancer (Enh) on ADCY3 and DNAJC27 promoter activity and expression levels. CRISPR/Cas9-mediated knockout of Dnajc27 was performed in mice to evaluate its role in obesity. Mechanistic studies examined the interactions between the rs713586-T or -C alleles and the transcription factor ZFP42. Additionally, we assessed the DNA methylation patterns within the Enh and promoter regions of ADCY3 to evaluate their impact on ADCY3 expression. First, the rs713586-C risk allele significantly reduced the promoter activity of ADCY3 and DNAJC27 and thus reduced their expression levels. However, Dnajc27 knockout mice did not develop obesity, thereby excluding DNAJC27 as the target gene through which rs713586 mediates obesity. Further, we demonstrate that the rs713586-C allele impaired ZFP42 binding, leading to decreased TET1 recruitment and increased DNA methylation in the Enh and promoter regions of ADCY3, ultimately suppressing its expression. Given that ADCY3 is a well-established gene involved in obesity, we conclude that the rs713586-C risk allele may associated with obesity susceptibility, concomitant with downregulated ADCY3 expression. Our findings establish the rs713586-ZFP42-TET1-ADCY3 epigenetic regulatory axis, providing insights into the mechanism of rs713586-mediated obesity pathogenesis. National Natural Science Foundation of China and Natural Science Foundation of Hebei Province of China (32470645, 32070567, 32202840), and Priority-Funded Postdoctoral Research Project, Zhejiang Province (ZJ2025118). Full funding details are provided in the Acknowledgements. Show less
📄 PDF DOI: 10.1016/j.ebiom.2025.106112
ADCY3
Jin-Ying Lai, Jun-Hua Lu, Meng-Yue Li +9 more · 2026 · Cellular and molecular neurobiology · Springer · added 2026-04-24
Despite advances in acute ischemic stroke (AIS) research, identifying reliable biomarkers and regulatory mechanisms remains challenging. We first identified AIS-related genes via extensive literature Show more
Despite advances in acute ischemic stroke (AIS) research, identifying reliable biomarkers and regulatory mechanisms remains challenging. We first identified AIS-related genes via extensive literature review, retrieved dataset GSE16561 from the Gene Expression Omnibus (GEO, https://ncbi.nlm.nih.gov/geo/), and performed differential/enrichment analyses. Bioinformatics verified N6-methyladenosine (m Show less
no PDF DOI: 10.1007/s10571-026-01710-0
BDNF acute ischemic stroke bioinformatics biomarkers gene expression n6-methyladenosine regulatory mechanisms
Rong Ji, Haicheng Hu, Yitian Zhang +5 more · 2026 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
Naringenin (NGN), a flavonoid widely utilized in agricultural and pharmaceutical applications, has increasingly become a source of environmental concern. This study systematically evaluated the develo Show more
Naringenin (NGN), a flavonoid widely utilized in agricultural and pharmaceutical applications, has increasingly become a source of environmental concern. This study systematically evaluated the developmental toxicity of NGN in zebrafish embryos. Our results showed that NGN exposure caused dose-dependent increases in embryonic mortality and induced a range of developmental malformations, including reduced body length, impaired eye and ear development, and cardiac dysfunction. Behavioral analyses revealed significant deficits in locomotor activity and sensory responses at concentrations of 5 and 10 mg/L. Molecular assessments via RT-qPCR demonstrated that NGN disrupted the expression of multiple genes critical for cardiac (kcnh2a, kcnh2b, hand2, has2, myh7, tnnt2a), otic (col2a1a, sox9a, sox9b), liver (hhex, leg1.1), visual (gnat1, gnat2), apoptotic (bax, casp9, casp3), and neurodevelopmental (pomca, bdnf, gfap, mbpa, s100b) pathways. Notably, NGN at 10 mg/L inhibited apoptosis and altered liver function, whereas a concentration of 15 mg/L promoted apoptosis, and these results suggest that NGN may interfere with the developmental processes of zebrafish embryos through different mechanisms at low and high concentrations, exhibiting a non-monotonic dose-response relationship. These findings highlight the potential ecological hazards of NGN contamination in aquatic environments, emphasizing the need for stricter management and further research into its long-term and combined effects with other pollutants. Our research offers new perspectives into the molecular and phenotypic mechanisms of NGN toxicity and underscores the importance of comprehensive risk assessment for emerging environmental contaminants. Show less
no PDF DOI: 10.1016/j.ecoenv.2026.120131
BDNF cardiotoxicity developmental toxicity embryo development environmental concern flavonoid naringenin zebrafish
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
Xin Shi, Shi-Zhong Cai, Jin-Long Chai +5 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Microglia-neuron contacts have been shown to regulate neural network activity through the formation and elimination of synapses. The pathogenesis of major depressive disorder is accompanied by a decli Show more
Microglia-neuron contacts have been shown to regulate neural network activity through the formation and elimination of synapses. The pathogenesis of major depressive disorder is accompanied by a decline in brain-derived neurotrophic factor (BDNF) signaling, associated with increased microglia activity that disrupts cognitive function. The actions of both typical and rapid-acting antidepressant drugs, which have been shown to increase BDNF signaling through the tropomyosin receptor kinase B (TrkB) receptor, decrease microglia activation and the levels of pro-inflammatory cytokines. Examining the link between BDNF signaling and the microglial pro-inflammatory response, we demonstrate that TrkB signaling elicits the neuronal secretion of CD22 (Siglec-2), a sialic acid-binding immunoglobulin-type lectin, to inhibit microglial activation and alleviate depression-like symptoms. In a male chronic mild stress (CMS) mouse model of depression decreased expression of the postsynaptic scaffolding protein PSD-95 and Gαi1/3 were found to compromise TrkB signaling leading to reduced CD22 levels in hippocampal tissue. Restoration of TrkB-Gαi1/3-Akt signaling with dSyn3, a peptidomimetic compound targeting the PDZ3 domain of PSD-95, enhanced CD22 expression to inhibit microglial activation, promote dendritic spine formation and rapidly mitigate depression-like symptoms. Furthermore, hippocampal overexpression of CD22 in neurons was sufficient to reduce microglial activation and depressive-like behaviors in male CMS mice. S-ketamine, a rapid-acting antidepressant, increased CD22 expression to mitigate depression-like symptoms. While neuronal knockdown of CD22 in the hippocampus did not significantly impair the rapid (within 4 h) antidepressant effects typically observed with S-ketamine or dSyn3 administration, strikingly, knockdown of CD22 attenuated the long-acting (within 3 days) antidepressant effects of S-ketamine or dSyn3, as evidenced by sustained immobility in the TST (tail suspension test) and FST (forced swim test), and a lack of improvement in sucrose preference. In contrast, a single dose of fluoxetine failed to increase CD22 expression or inhibit microglia activity. These results suggest that rapidly-acting anti-depressant drugs enhance TrkB-induced neuronal expression and secretion of CD22 to promote the homeostatic state of microglia required for antidepressant actions. In male depression mice, dSyn3 facilitates BDNF-induced TrkB-PSD-95-Gαi1/3 complex formation to increase Akt-mTOR activation as well as synaptic and spine density in the hippocampus. TrkB signaling increases CD22 expression and secretion from neurons blocking microglial activation in the hippocampal region of male CMS mice. Show less
📄 PDF DOI: 10.1038/s41380-026-03575-7
BDNF
Lanqiong Xue, Zhuoyue Pan, Yao Liu +3 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
This study aims to elucidate the pharmacological basis and antidepressant mechanisms of a combined extract from Eucommia ulmoides Oliv. And Gastrodia elata Bl. (Eucommia-Gastrodia extract), employing Show more
This study aims to elucidate the pharmacological basis and antidepressant mechanisms of a combined extract from Eucommia ulmoides Oliv. And Gastrodia elata Bl. (Eucommia-Gastrodia extract), employing an integrated strategy that combines UHPLC-QTOF-MS analysis, network pharmacology, molecular docking, and in vivo validation. This research integrated computational approaches network pharmacology, molecular docking and in vivo experimental investigations. Initially, the active constituents of the EGE were identified through ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS). Potential targets related to depression were predicted using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and SwissADME. Protein-protein interaction (PPI) networks were constructed via the STRING database, followed by the development of a comprehensive "drug-active ingredient-target-disease" network. Functional annotation through Gene Ontology (GO) and pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted on the intersecting targets using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Molecular docking studies were erformed employing AutoDock software to validate the interactions. Finally, the antidepressant-like behavioral effects were evaluated in treated and non-treated corticosterone-induced mouse models using sucrose preference tests, forced swimming tests, open field tests, and tail suspension tests. The morphological impacts and molecular basis of disease on the hippocampal neurons were assessed using Hematoxylin and Eosin staining (HE) staining, Nissl staining, immunohistochemistry, and Western blot analysis to substantiate the identified through network pharmacology. Network pharmacology analysis revealed a complex interplay between identified active ingredients of Eucommia-Gastrodia extract and depression targets. From an initial pool of 131 active components, 34 identified as interacting with 233 shared depression related molecular targets. These targets were involved in 390 biological processes (BP), 60 cellular compounds (CC), 134 molecular functions (MF), and 148 KEGG-enriched signaling pathways. Molecular docking studies highlighted 20 principal compounds that bind to key targets such as AKT1, SRC, HIF-1, CREB, BDNF, and EPO. The Eucommia-Gastrodia extract alleviated depression like behaviors in a cortisol-induced mouse model, as indicated by increased sucrose preference and mobility time, etc. Additionally, the extract restored the levels of neurotransmitters 5-hydroxytryptamine (5-HT) and dopamine (DA), alleviated hippocampal neuronal damage, and increased the positive expression of EPO and BDNF in the hippocampus. Furthermore, treatment with the extract significantly upregulated the protein expression of HIF-1, EPO, EPOR, CREB, p-CREB, BDNF and p-TrkB, which were otherwise downregulated in cortisol-induced depressive mice. The results indicate that the Eucommia-Gastrodia extract containing bioactive compounds such as oxysophocarpine, aucubin, pinoresinol, leonurine, syringaresinol, formononetin, icaritin, casticin, and 6-gingerol mitigates cortisol-induced neurodegeneration and depressive-like behaviors. This effect is mediated through modulation of the of HIF-1α-EPO/cAMP-CREB-BDNF signaling pathways. Show less
no PDF DOI: 10.1016/j.brainresbull.2026.111856
BDNF antidepressant mechanisms hif-1α-epo/camp-creb-bdnf pathway in vivo study molecular docking network pharmacology pharmacology uhplc-qtof-ms
Xin Shi, Han-Qi Liu, Shi-Zhong Cai +7 more · 2026 · Science signaling · Science · added 2026-04-24
Chronic stress and impaired signaling by the neurotrophic factor BDNF are associated with depression. The heterotrimeric G protein subunits Gα
no PDF DOI: 10.1126/scisignal.aec8898
BDNF bdnf depression protein signaling stress sumoylation
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
Xikun Li, Xuyi Li, Yunchu Li +5 more · 2026 · Frontiers in nutrition · Frontiers · added 2026-04-24
Depressive disorder represents a multifaceted and intricate condition characterized by disturbances in monoaminergic signaling, neurotrophic support mechanisms, and the regulation of inflammatory proc Show more
Depressive disorder represents a multifaceted and intricate condition characterized by disturbances in monoaminergic signaling, neurotrophic support mechanisms, and the regulation of inflammatory processes. An increasing body of evidence indicates that natural bioactive compounds may provide adjunctive therapeutic advantages with a reduced incidence of adverse effects in comparison to traditional antidepressants. This review investigates the antidepressant efficacy of Show less
📄 PDF DOI: 10.3389/fnut.2026.1762061
BDNF
Wei Li, Lebin Liu, Weiwei Liu +1 more · 2026 · Frontiers in neurology · Frontiers · added 2026-04-24
[This corrects the article DOI: 10.3389/fneur.2026.1744242.].
📄 PDF DOI: 10.3389/fneur.2026.1819914
BDNF acupuncture brain cognitive impairment network neurobiological neurotransmission
Tingting Liu, Mengdi Zhang, Jianshe Wei · 2026 · Experimental neurology · Elsevier · added 2026-04-24
Pulmonary fibrosis is a common and life-threatening complication of Parkinson's disease (PD), yet the molecular mechanisms linking the two diseases remain unclear, creating a critical gap in targeted Show more
Pulmonary fibrosis is a common and life-threatening complication of Parkinson's disease (PD), yet the molecular mechanisms linking the two diseases remain unclear, creating a critical gap in targeted therapeutic strategies for comorbid patients. Angiotensin-converting enzyme 2 (ACE2) plays a key role in neuroprotection and lung homeostasis; its deficiency exacerbates PD-related neuroinflammation and α-synuclein aggregation, while also promoting pulmonary inflammation and fibrotic remodeling. Clarifying how ACE2 deficiency drives PD-exacerbated pulmonary fibrosis is therefore an urgent unmet need. This study explored the underlying mechanisms using MPTP-induced PD mouse models and bioinformatics analyses of PD/idiopathic pulmonary fibrosis (IPF) datasets from the GEO database. In MPTP-induced PD mice, ACE2 deficiency significantly worsened motor/non-motor dysfunction, dopaminergic neuron loss, microglial/astrocytic activation, and lung fibrosis (evidenced by elevated α-SMA/TGF-β and increased collagen deposition). Bioinformatics identified 41 overlapping differentially expressed genes (DEGs) between PD and IPF, enriched in critical pathways: downregulated FoxO1 (impairing antioxidant defense) and upregulated TNF, JAK1-STAT3, and AGE-RAGE (amplifying inflammation/fibrosis). ROC analysis validated hub genes (e.g., BDNF, FOSL2) with good diagnostic value (AUC > 0.7), and molecular docking identified Smilagenin, Fostamatinib, Olopatadine, and Amlexanox as potential therapeutics. This study confirms ACE2 deficiency is a central driver of PD-exacerbated pulmonary fibrosis via the FoxO1/TNF/JAK1-STAT3/AGE-RAGE pathways, providing novel biomarkers and drug candidates to address the clinical need for managing this comorbidity. Show less
no PDF DOI: 10.1016/j.expneurol.2026.115744
BDNF ace2 fibrotic remodeling lung homeostasis neuroinflammation neuroprotection parkinson's disease pulmonary fibrosis
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