👤 Shikun Liu

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3182
Articles
1983
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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, 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, Zhenqian 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

Stem Cell-Derived Exosomes Improve Neurological Dysfunction in a Rat Model of Moderate-to-Severe Cerebral Palsy.

Tingting Peng, Huijuan Lin, Xiaoli Zeng +16 more · 2026 · Stem cell reviews and reports · Springer · added 2026-04-24
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study dem Show more
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study demonstrates that human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-Exos) exert profound therapeutic effects in a rat model of moderate-to-severe CP established via bilateral carotid artery occlusion with hypoxia. Intravenously administered hUCMSC-Exos displayed sustained brain retention and significantly restored motor coordination and cognitive function. The recovery was primarily mediated through enhanced remyelination driven by promoted oligodendrocyte maturation and differentiation (elevated oligodendrocyte lineage transcription factor 2 and myelin basic protein). Concurrently, the treatment attenuated key pathological processes involving sustained neuroinflammatory responses (reduced ionized calcium-binding adapter molecule 1, tumor necrosis factor-α, and interleukin-6) while elevating brain-derived neurotrophic factor. Our findings establish hUCMSC-Exos as a promising dual-modality therapy for moderate-to-severe CP, mechanistically linked to robust remyelination and coordinated modulation of core disease mechanisms. Show less
no PDF DOI: 10.1007/s12015-026-11072-1
BDNF cerebral palsy exosomes mesenchymal stem cells neurological disorders neuroscience pediatric motor disorder stem cells

Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone.

Charles A Schurman, Gurcharan Kaur, Serra Kaya +13 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Individuals with Alzheimer's disease (AD) are at an increased risk of bone fracture, while osteoporosis in women is one of the earliest predictors of AD. Yet the mechanisms linking cognitive decline a Show more
Individuals with Alzheimer's disease (AD) are at an increased risk of bone fracture, while osteoporosis in women is one of the earliest predictors of AD. Yet the mechanisms linking cognitive decline and skeletal deterioration remain poorly defined. Proteomic analysis of cortical bone from aged 21-month-old mice revealed strong enrichment of neurodegeneration-associated proteins, including apolipoprotein E (Apoe) and amyloid precursor protein. Apoe localized specifically to osteocytes, with expression in aged female bone nearly twice that of young 4-month-old male bone. Because human APOE alleles confer different age-related AD risks, we examined their roles in bone using humanized APOE2, APOE3, and APOE4 knock-in mice and analyzed bone and hippocampus from the same animals. APOE4 produced marked sex-specific effects on the bone transcriptome and proteome compared with APOE2 or APOE3. Strikingly, APOE4-associated proteomic disruptions were stronger in female bone than in the hippocampus. Functionally, APOE4 caused bone fragility in females without altering cortical structure. These deficits stemmed from impaired osteocyte perilacunocanalicular remodeling. Our findings identify APOE4 as a molecular driver of early osteocyte dysfunction and reduced bone quality, disproportionately affecting females. These findings highlight osteocytes as potential targets for early diagnosis of age-related cognitive impairment and treatment for bone fragility, in females. Show less
no PDF DOI: 10.1002/advs.202523511
APOE

Immuno-Neuroprotectants Facilitate Neurological Recovery via Sequestration of Neutrophil Extracellular Traps (NETs) and Promotion of Neuroregeneration.

Lucheng Xie, Dudu Liu, Zhiyong Liu +8 more · 2026 · Advanced materials (Deerfield Beach, Fla.) · Wiley · added 2026-04-24
Maintaining nerve integrity and rescuing/regenerating injured neurons are pivotal for spinal cord injury (SCI) repair. Herein, an immuno-neuroprotectant (INPT) is developed to mitigate secondary SCI a Show more
Maintaining nerve integrity and rescuing/regenerating injured neurons are pivotal for spinal cord injury (SCI) repair. Herein, an immuno-neuroprotectant (INPT) is developed to mitigate secondary SCI and promote neuroregeneration via sequestration of neutrophil extracellular traps (NETs) and targeted delivery of brain-derived neurotrophic factor (BDNF). To construct the INPT, positively charged BDNF is engineered into negatively charged A-BDNF nanoparticles (A-BDNF NPs) via reversible modification with adenosine triphosphate, and A-BDNF NPs are further coated with polySia-overexpressing microglia membrane (PBM). In SCI mice, intravenously injected INPT effectively accumulates in the injured spinal cord and then binds to NETs through the over-expressed polySia on PBM. This binding triggers PBM shedding from the NPs, and thereby, phosphatidylserine localized at the cytoplasmic leaflet of PBM is exposed and displayed on the NETs surface. Consequently, the PBM-bound NETs are cleared by phagocytes via efferocytosis, which provokes neuroprotective immune responses. Meanwhile, the mildly acidic environment triggers traceless restoration of A-BDNF NPs to the native BDNF to foster neuroregeneration. Thus, PBM-mediated NETs sequestration cooperates with BDNF-mediated neuroregeneration to restore neurological recovery. This study provides an enlightened approach for remedying NET-associated pathophysiological aberrations and also renders a facile yet effective platform for biomacromolecule delivery to the central nervous system. Show less
no PDF DOI: 10.1002/adma.202518580
BDNF brain-derived neurotrophic factor nanoparticles neuroprotectants neuroregeneration neurotrophic factor neutrophil extracellular traps spinal cord injury

Narciclasine Alleviates Endothelial Inflammation and Atherosclerosis Initiation by Inhibiting Histone Lactylation-Mediated NF-κB Activation.

Ziqian Wang, Zhengbin Zhang, Ran Xin +8 more · 2026 · Inflammation · Springer · added 2026-04-24
Glycolysis-derived lactate serves as a substrate for lysine lactylation, an epigenetic modification playing critical transcriptional regulatory roles in inflammatory diseases. Endothelial inflammation Show more
Glycolysis-derived lactate serves as a substrate for lysine lactylation, an epigenetic modification playing critical transcriptional regulatory roles in inflammatory diseases. Endothelial inflammation, characterized by upregulated glycolysis, initiates atherosclerosis, yet the contribution of histone lactylation remains undefined. Although narciclasine exhibits anti-inflammatory and antioxidant properties, its impact on endothelial inflammation in atherosclerosis is unknown. Connectivity Map (CMap) analysis predicted narciclasine as an inhibitor of oscillatory shear stress and TNF-α-induced endothelial inflammation. In vitro, treatment of human umbilical vein endothelial cells (HUVECs) with 20 nM narciclasine significantly suppressed ox-LDL-induced expression of VCAM1, ICAM1, SELE, and CCL2, reduced reactive oxygen species (ROS) production, and inhibited monocyte adhesion and migration. In vivo, administration of narciclasine (0.02 mg/kg) attenuated carotid artery endothelial inflammation and macrophage infiltration, consequently reducing early atherogenesis in partial carotid ligation model in ApoE Show less
📄 PDF DOI: 10.1007/s10753-025-02446-7
APOE

Macrophage-Specific E3 Ubiquitin Ligase TRIM31 Reduces Atherosclerotic Plaque Formation by Targeting LOX-1.

Jie Zhang, Liwen Yu, Wei Yang +18 more · 2026 · Circulation · added 2026-04-24
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, Show more
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, forming foam cells, and driving inflammation. The ubiquitin-proteasome system regulates immune and inflammatory responses in atherosclerosis. This study investigated the protective role of TRIM31 (tripartite motif-containing 31), an E3 ubiquitin ligase, in macrophage lipid metabolism and inflammation through selective regulation of LOX-1 (lectin-like oxidized low-density lipoprotein receptor-1). Transcriptomic profiling, macrophage-specific TRIM31 was selectively upregulated in macrophages under oxidized low-density lipoprotein stimulation and in atherosclerosis plaques. Trim31 deficiency exacerbated plaque burden, foam cell formation, and inflammatory signaling (n=8 per group). Single-cell analysis revealed enrichment of lipid transport and inflammatory pathways in Trim31-deficient plaques. LOX-1 was identified as a key TRIM31 substrate. TRIM31 promoted K48-linked ubiquitination of LOX-1 at lysine 12, facilitating its degradation. The atheroprotective effects of Trim31 were abolished in TRIM31, an inducible, macrophage-enriched protective factor in atherosclerosis, restricts foam cell formation and inflammation by targeting LOX-1 for proteasomal degradation. These findings position TRIM31 as a promising therapeutic target for macrophage-driven atherogenesis. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.125.076514
APOE

Apolipoprotein E ɛ3/ɛ4 genotype is associated with premature myocardial infarction: a hospital based retrospective study.

Hao Wang, Bin Li, Wenhao Chen +4 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
To explore the association between apolipoprotein E (APOE) gene polymorphisms and the risk of premature (age of onset: men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). This study Show more
To explore the association between apolipoprotein E (APOE) gene polymorphisms and the risk of premature (age of onset: men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). This study retrospectively collected the medical records (age, gender, hypertension, diabetes mellitus, smoking, drinking, and serum lipid) of 379 PMI patients and 628 age-matched non-AMI individuals (controls), from December 2018 to March 2024. The relationship between APOE polymorphisms and PMI was analyzed. 15(1.5%) individuals carried ɛ2/ɛ2, 147(14.6%) had ɛ2/ɛ3, 16(1.6%) presented with ɛ2/ɛ4, 670(66.5%) were ɛ3/ɛ3 carriers, 149(14.8%) had ɛ3/ɛ4, and 10 (1.0%) carried ɛ4/ɛ4. The proportion of ɛ2/ɛ3 genotype was significantly lower in the PMI group than in controls (7.7% vs. 18.8%, p < 0.001), whereas the prevalence of ɛ3/ɛ4 genotype was substantially higher in the PMI group (20.6% vs. 11.3%, p < 0.001). Logistic regression analysis identified some associated factors: smoking (odds ratio [OR]: 3.057, 95% confidence interval [CI]: 2.098-4.455, p < 0.001), hypertension (OR: 4.474, 95% CI: 3.273-6.117, p < 0.001), and dyslipidemia (OR: 1.805, 95% CI: 1.333-2.443, p < 0.001). Additionally, genetic factors were associated with PMI: the APOE ɛ3/ɛ4 genotype (vs. ɛ3/ɛ3, OR: 1.548, 95% CI: 1.038-2.309, p = 0.032) and the presence of ɛ4 allele (vs. ɛ3, OR: 1.521, 95% CI: 1.033-2.241, p = 0.034) were confirmed as independent associated factors. APOE ε3/ε4 genotype was significantly associated with PMI, suggesting that this genotype could serve as a potential genetic marker for PMI risk assessment. Show less
📄 PDF DOI: 10.1186/s12872-026-05513-5
APOE

Latent Profile and Influencing Factor Analysis of Childbirth Readiness Among Women in Their Third Trimester of Pregnancy: A Cross-Sectional Study.

Cailing Liu, Yueyuan He, Xue Yang +5 more · 2026 · International journal of women's health · added 2026-04-24
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it exp Show more
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it explored the factors influencing childbirth readiness in order to guide targeted interventions for improved maternal and neonatal outcomes. A cross-sectional study was conducted among women in their third trimester of pregnancy between May and November 2024. Eligible participants completed a general information questionnaire, the Childbirth Readiness Scale (CRS), the Childbirth Attitude Questionnaire (CAQ), and the Perceived Social Support Scale (PSSS). LPA identified three groups with distinct childbirth readiness levels: "Low Readiness - Childbirth Knowledge Deficit" (37.9%), "Moderate Readiness - Good Lifestyle Habits" (47.9%), and "High Readiness - Rich Health Knowledge" (14.2%). In addition, gestational age, previous childbirth history, adverse pregnancy outcomes, childbirth attitudes, and social support had different influences on women in different latent profiles of childbirth readiness. There was significant heterogeneity in childbirth readiness among women in their third trimester. Women with lower readiness-especially in childbirth knowledge-would greatly benefit from targeted educational programs, whereas those with moderate readiness levels would find enhanced emotional and psychological support most advantageous. These findings support the implementation of profile-based, personalized prenatal care strategies to improve childbirth preparedness and optimize maternal and neonatal outcomes. Show less
📄 PDF DOI: 10.2147/IJWH.S574855
LPA

Obesity Boosts the Tumor Delivery and Anticancer Effects of Liposomal Doxorubicin by an Apolipoprotein E-Mediated Mechanism.

Shiyi Xu, Nana Bie, Haojie Liu +7 more · 2026 · Molecular pharmaceutics · ACS Publications · added 2026-04-24
The protein corona formed upon systemic administration critically modulates the pharmacokinetics, biodistribution, and therapeutic efficacy of the nanomedicines. While emerging evidence links obesity Show more
The protein corona formed upon systemic administration critically modulates the pharmacokinetics, biodistribution, and therapeutic efficacy of the nanomedicines. While emerging evidence links obesity to heightened chemosensitivity, the underlying nanobio-interfacial mechanisms remain poorly understood. Herein, we demonstrate that pegylated liposomal doxorubicin (PLD) exhibits significantly enhanced antitumor and antimetastatic efficacy in obese breast tumor-bearing mice compared to normal controls. Mechanistic investigations reveal that obesity confers PLD with prolonged systemic circulation and improved tumor accumulation. Notably, preincubation of PLD with plasma from obese mice reduces macrophage uptake while promoting internalization by breast cancer cells compared to that from normal mice. Genetic ablation of apolipoprotein E (ApoE) in obese mice abolishes obesity-associated improvements in PLD blood circulation, tumor accumulation, and uptake by cancer cells. Conversely, supplementation with recombinant ApoE restores these effects in ApoE-deficient mice and potentiates PLD's antitumor efficacy. Collectively, our findings demonstrate obesity-induced ApoE as a pivotal regulator of the protein corona that actively enhances tumor-targeted delivery of PLD, which offers a rational strategy for engineering protein-corona-mediated tumor-targeted nanomedicines. Show less
no PDF DOI: 10.1021/acs.molpharmaceut.5c00794
APOE

Rs12516 A allele elevates the risk of colorectal cancer via functional CeRNA network of BDNF-AS, miR-4704-5p and BRCA1.

Daxu Liu, Zhijun Fan, Teng Zhang +5 more · 2026 · BMC cancer · BioMed Central · added 2026-04-24
DNA double-strand break repair has emerged as a vital pathway to repair DNA damage seriously related to the risk of colorectal cancer (CRC). To explore valid susceptible biomarkers of CRC via investig Show more
DNA double-strand break repair has emerged as a vital pathway to repair DNA damage seriously related to the risk of colorectal cancer (CRC). To explore valid susceptible biomarkers of CRC via investigating the association of single nucleotide polymorphisms in DSBR genes with CRC risk, seven polymorphisms located in 3'-untranslated regions of DSBR genes including RAD51 rs11852786, RAD51B rs963917, BRCA1 rs12516 and rs8176318, BRCA2 rs15869, XRCC4 rs2035990 and XRCC5 rs2440 were detected and analyzed in a CRC case-control study (cases (202) and also controls (202)). The PolymiRTs and miRSNP database were used to predict the microRNAs that can bind to 3'UTR SNPs. Since long non-coding RNA as a miRNA "sponge" played the role of competing endogenous RNA, DAVID database was used to find the lncRNAs that can bind to the candidate miRNA seed sequences. BRCA1 rs12516 minor A allele was found to be linked with a higher risk of CRC than its major G allele (OR = 2.716, 95%CI: 1.394-5.292, P = 0.003). The stratified analyses demonstrated rs12516 AA genotype with a more elevated risk of CRC in male (OR = 3.089, 95% CI:1.315 ~ 7.255) or age > 50 population (OR = 3.318, 95%CI:1.571 ~ 7.006) than its GG genotype. BRCA1 rs12516 A allele created a novel miR-4704-5p binding target, and there was a negative correlation between miR-4704-5p and BRCA1 expression (r =-0.7199, P = 0.0440). Based on the theory of ceRNA network, it was predicted that lncRNA BDNF-AS can competitively bind to miR-4704-5p, whose expression was exhibited to be negatively correlated with BDNF-AS (r=-0.3481, P = 0.0375). On the contrary, BDNF-AS expression showed a positive correlation with BRCA1 mRNA level in colorectal tissue carrying rs12516 of A allele (adjacent tissue: r = 0.7269, P = 0.0411; cancer tissue: r = 0.7134, P = 0.0469). ROC curve showed both BDNF-AS (AUC = 0.651, P = 0.0277) and miR-4704-5p (AUC = 0.7215, P = 0.0012) can distinguish CRC tissues from their adjacent tissues. BRCA1 rs12516 is characterized as a potential biomarker associated with CRC risk, via a possible functional ceRNA network of BDNF-AS, miR-4704-5p and BRCA1. The interaction of a lower expression of BDNF-AS, a higher expression of miR-4704-5p and rs12516 A allele could together increase the risk of colorectal cancer. Show less
📄 PDF DOI: 10.1186/s12885-025-14692-x
BDNF

Associations between eHealth literacy and 24-hour movement behaviors in older adults: the mediating and moderating roles of self-efficacy.

Ning Su, Jiayu Hu, Borui Shang +4 more · 2026 · Frontiers in medicine · Frontiers · added 2026-04-24
Older adults increasingly rely on digital health resources, yet evidence regarding the relationship between eHealth literacy (eHL) and 24-hour movement behaviors (24-HMB), including physical activity Show more
Older adults increasingly rely on digital health resources, yet evidence regarding the relationship between eHealth literacy (eHL) and 24-hour movement behaviors (24-HMB), including physical activity (PA), sedentary behavior (SB), and sleep, remains underexplored. This study examined the associations between eHL and 24-HMB in Chinese older adults and examined self-efficacy as a potential mediator and moderator. Using a convenience sampling approach, 564 community-dwelling older adults (aged 60-74 years) were recruited from four urban Chinese cities via an online survey. A total of 553 valid cases were retained for analyses. eHL was assessed using the eHealth Literacy Scale-Web 3.0, and self-efficacy was assessed using a validated Self-Efficacy Scale. PA and SB were assessed objectively using ActiGraph GT3X+ accelerometers over three consecutive days (two weekdays and one weekend day). Sleep duration was derived from accelerometer-based estimates anchored by daily sleep logs. Multiple linear regression analyses were conducted to examine associations, and mediation and moderation were tested using PROCESS macro (Model 4 and Model 1, respectively), adjusting for age, sex, and education. After adjustment for covariates ( In this cross-sectional, urban, device-using sample of older adults, higher eHL was associated with a more favorable 24-HMB profile, particularly higher LPA and lower SB, while associations with sleep duration were weaker. Self-efficacy showed modest indirect associations consistent with partial mediation for PA and SB and also acted as a moderator of several associations. Given the observational design and modest effect sizes, findings should be interpreted cautiously and require confirmation in longitudinal or experimental studies with more representative sampling and improved sleep assessment. Show less
📄 PDF DOI: 10.3389/fmed.2026.1746861
LPA

LncRNA SNHG5 promotes macrophage lipid accumulation and aggravates atherosclerosis by targeting the miR-216a-5p/HDAC3/ABCA1 axis.

Xian Liu, Hui-Hui Wang, Xin-Yu Lan +6 more · 2026 · Biochimica et biophysica acta. Molecular and cell biology of lipids · Elsevier · added 2026-04-24
Long noncoding RNA small nucleolar RNA host gene 5 (SNHG5) has been implicated in cell death, glucose homeostasis, and tumor progression, yet its role in atherosclerosis (AS) remains unclear. In this Show more
Long noncoding RNA small nucleolar RNA host gene 5 (SNHG5) has been implicated in cell death, glucose homeostasis, and tumor progression, yet its role in atherosclerosis (AS) remains unclear. In this study, SNHG5 expression was markedly elevated in aortic tissues of high-fat diet-fed apoE Show less
no PDF DOI: 10.1016/j.bbalip.2026.159738
APOE

Bioinspired scaffold recapitulating chondrogenic ontogeny and microenvironment for functional cartilage regeneration.

Tianyu Yu, Xun Sun, Yang Liu +13 more · 2026 · Bioactive materials · Elsevier · added 2026-04-24
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment co Show more
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment compromises therapeutic efficacy. We developed an innovation CE-SKP/CPH/P2G3 scaffold which effectively repairs focal cartilage defects and emulates native cartilage ontogeny: the superficial CE-SKP hydrogel layer recruits SMSCs and promotes chondrogenesis; the middle CPH hydrogel layer induces chondrocyte hypertrophic calcification, forming cartilage calcified layer; and the basal P2G3 nanofiber membrane isolates subchondral cells, enforcing a top-down developmental sequence and preserving a localized hypoxic niche. Show less
📄 PDF DOI: 10.1016/j.bioactmat.2025.11.041
FGFR1

Neural circuitry remodeling in chronic pain and depression comorbidity: Toward an emotion-perception integration network model.

Min Ma, Yue Zhang, Zhenjiao Liu +3 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
Chronic pain (CP) and major depressive disorder (MDD) are highly disabling global diseases, and their high comorbidity creates a bidirectional vicious cycle, significantly exacerbating functional impa Show more
Chronic pain (CP) and major depressive disorder (MDD) are highly disabling global diseases, and their high comorbidity creates a bidirectional vicious cycle, significantly exacerbating functional impairment and treatment resistance. Multidisciplinary evidence suggests that the comorbid nature arises from deep functional coupling and neural network remodeling between the sensory-pain and emotional systems, rather than merely a symptom overlap. Neuroimaging, animal models, and neuromodulation studies demonstrate that key brain regions, including the prefrontal cortex (PFC), anterior cingulate cortex (ACC), amygdala, hippocampus, insula, and reward system, show consistent abnormalities in the comorbid state, creating a cross-brain network that jointly regulates pain, emotion, and cognition. This paper systematically reviews the central structures, neural circuits, and neurotransmitter regulatory mechanisms of CP-MDD comorbidity and proposes an integrated emotion-perception coupling network model. We highlight the mechanisms and translational potential of multi-pathway intervention strategies, with a focus on neuromodulation techniques (rTMS, tDCS), combined with ketamine, BDNF modulators, and anti-inflammatory drugs. Additionally, it is emphasized that future research must integrate multimodal imaging, multi-omics data, and computational modeling to establish a mechanism-driven personalized stratification system. With the support of high spatiotemporal resolution brain connectomics technology, this will facilitate the transition from a 'symptom control' to a 'mechanism repair' paradigm in treating comorbidities. Show less
no PDF DOI: 10.1016/j.brainresbull.2026.111784
BDNF chronic pain depression emotion perception neural circuitry neural network neuroimaging neuromodulation

TrkB promotes the neuronal secretion of soluble Siglec-2 (CD22) to mitigate microglial activation and alleviate depression-like behaviors in male mice.

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

Clinical characteristics and APOE variant spectrum in Chinese patients with lipoprotein glomerulopathy.

Mengshi Li, Yang Li, Lei Jiang +7 more · 2026 · Chinese medical journal · added 2026-04-24
📄 PDF DOI: 10.1097/CM9.0000000000003978
APOE

SAMHD1 drives immunosuppression in non-small cell lung cancer by promoting macrophage infiltration and restricting oncolytic adenovirus replication.

Shichuan Hu, Jian Xu, Zhiwu Wang +7 more · 2026 · Journal for immunotherapy of cancer · added 2026-04-24
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and the leading cause of cancer-related deaths. Immune checkpoint inhibitors (ICIs) of programmed death-1 (PD-1)/programmed de Show more
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and the leading cause of cancer-related deaths. Immune checkpoint inhibitors (ICIs) of programmed death-1 (PD-1)/programmed death ligand-1 signaling induce tumor regression in some patients with NSCLC, but most patients with NSCLC exhibit resistance to ICIs therapy. NSCLC shapes the potent tumor immunosuppressive microenvironment (TIME) that underlies tumor immune tolerance and acquired resistance. Therefore, elucidating the cellular and molecular mechanisms by which NSCLC establishes and sustains the TIME is essential for developing novel strategies to overcome immune resistance and enhance the clinical benefit of ICIs. The correlation between sterile alpha motif domain and histidine-aspartate domain-containing protein 1 (SAMHD1) expression and ICIs was analyzed via immunohistochemistry. Cell migration assay was performed to assess the effect of SAMHD1 on macrophage recruitment. Multicolor flow cytometry was performed to analyze the effect of SAMHD1 knockdown on the tumor microenvironment. SAMHD1 regulation of the dual specificity phosphatase 6-extracellular regulated protein kinases 1/2 (DUSP6-ERK1/2) pathway was verified by RNA sequencing and western blotting. Here, we identify the SAMHD1 as a potential therapeutic target and a major determinant of poor response to ICIs in patients with NSCLC. Tumors with high SAMHD1 expression show resistance to anti-PD-1 antibody (αPD-1) treatment, whereas tumors with low SAMHD1 expression are highly sensitive. SAMHD1-dependent resistance to αPD-1 is characterized by increased tumor-associated macrophages (TAMs) infiltration and reduced CD8+T cell numbers. Mechanistically, SAMHD1 regulates the expression of macrophage-associated chemokines by influencing the activation of the DUSP6-ERK1/2 pathway, which contributes to TAMs aggregation within NSCLC tumors to shape an immunosuppressive microenvironment. The HIV accessory protein viral protein-x (VPX) specifically degrades SAMHD1 to promote HIV replication. Similarly, the vpx-engineered oncolytic adenovirus (oAd-vpx) targets SAMDH1 degradation to enhance oncolytic adenovirus replication and weaken the hostile immune microenvironment shaped by TAMs, thereby triggering a CD8+T-cell-dependent antitumor immune response. The combination of oAd-vpx and αPD-1 inhibits tumor growth and enhances sensitivity to ICIs in both mouse and human NSCLC. This research identifies a key mechanism of SAMHD1-driven immunosuppression and highlights its important role in oncolytic adenovirus therapy. This study provides a theoretical basis for targeting SAMHD1 as a drug therapy strategy in patients with NSCLC. Show less
📄 PDF DOI: 10.1136/jitc-2025-013550
DUSP6

2026 Consensus and review of Lipoprotein(a) from Taiwan Society of Lipid and Atherosclerosis: Molecular pathogenesis, epidemiology, clinical implications, and advances in diagnostic strategies.

Chao-Yun Cheng, Yih-Jer Wu, Chih-Fan Yeh +25 more · 2026 · Journal of the Formosan Medical Association = Taiwan yi zhi · Elsevier · added 2026-04-24
Lipoprotein(a) [Lp(a)] is a genetically determined lipoprotein that has been established as an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic Show more
Lipoprotein(a) [Lp(a)] is a genetically determined lipoprotein that has been established as an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve disease (CAVD). Structurally composed of a low-density lipoprotein (LDL)-like particle covalently linked to apolipoprotein(a) [apo(a)], Lp(a) exhibits unique atherogenic, thrombogenic, and inflammatory properties, largely due to its role as a carrier of oxidized phospholipids (OxPL). Plasma Lp(a) concentrations are predominantly determined by the number of kringle IV type 2 (KIV-2) repeats in the LPA gene, with minimal influence from lifestyle or environmental factors. Despite substantial evidence linking elevated Lp(a) to cardiovascular risk, clinical testing remains underutilized, especially in East Asian countries. In Taiwan, although population-level Lp(a) concentrations are comparatively low, a significant subset exceeds risk thresholds, with local studies confirming its prognostic value in coronary artery disease and ischemic stroke. Barriers, including limited physician awareness, implementation barriers, and therapeutic nihilism, contribute to its under-recognition. This review highlights the molecular features of Lp(a), its pathogenesis of cardiovascular disorders, epidemiology, and current barriers and future advances in diagnostic testing, with a particular focus on implications for cardiovascular risk management in Taiwan. Show less
no PDF DOI: 10.1016/j.jfma.2026.03.073
LPA

Ultra-low-input rG4-seq reveals the RNA G-quadruplex regulome in gene expression and genome integrity.

Tie-Gang Meng, Wei Yue, Chao Li +14 more · 2026 · Nucleic acids research · Oxford University Press · added 2026-04-24
RNA G-quadruplexes (rG4s), formed through guanine self-recognition into stacked tetrads, serve as critical regulators of gene expression, yet their comprehensive mapping and dynamic regulation in phys Show more
RNA G-quadruplexes (rG4s), formed through guanine self-recognition into stacked tetrads, serve as critical regulators of gene expression, yet their comprehensive mapping and dynamic regulation in physiological contexts remain technically challenging. Here, we develop Ultra-low-input rG4-seq (ULI-rG4-seq), enabling precise rG4 detection enabling precise rG4 detection with ∼140 bp resolution in samples as small as 100 oocytes, and reveal notable enrichment of rG4s near crucial regulatory regions, particularly transcription start sites and end sites. This technological advance, combined with Trim-away or oocyte-specific knockout of DHX36 (also known as G4R1 or RHAU), an rG4-specific helicase, reveals acute and chronic loss of DHX36 leads to opposing effects on rG4 levels. This observation extends beyond the traditional view of helicases as unwinding enzymes and suggests sophisticated cellular mechanisms maintaining RNA structural homeostasis. Through integrated analysis of rG4 landscapes and DHX36-binding profiles, we demonstrate coordination between cytoplasmic rG4 regulation and nuclear gene expression, revealing how RNA structure dynamics orchestrate RNA stability and translation, thereby influencing transcriptional elongation, genome stability, and alternative splicing. Finally, we show that deletion of DHX36 resulted in decreased oocyte quality, premature ovarian failure and complete female infertility due to transcriptional defects and genome instability related to R-loop accumulation. These technological and conceptual advances not only deepen our understanding of RNA-based regulation but also open new therapeutic possibilities for diseases involving RNA structure. Show less
📄 PDF DOI: 10.1093/nar/gkag040
DHX36

Protective Effect of Red Yeast Rice on Immune Checkpoint Inhibitors-Related Atherosclerotic Progression Through Inhibiting Macrophage Inflammatory Response and T Lymphocytes Infiltration.

Jian'an Pan, Hui Zhang, Xiaozhen He +6 more · 2026 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Immune checkpoint inhibitors (ICIs) have prolonged cancer survival but exacerbated atherosclerotic cardiovascular disease (ASCVD). This research aims to interrogate the underlying mechanism of ICIs-re Show more
Immune checkpoint inhibitors (ICIs) have prolonged cancer survival but exacerbated atherosclerotic cardiovascular disease (ASCVD). This research aims to interrogate the underlying mechanism of ICIs-related atherosclerotic progression and the potential protective effect of Red Yeast Rice (RYR) on it. A tumor-bearing atherosclerotic (TB-AS) mouse model was established by subcutaneously injecting MC38 cells in male ApoE Show less
no PDF DOI: 10.1002/ptr.70261
APOE

Electroacupuncture promotes BDNF-dependent neurogenesis via microglial reprogramming in a chronic stress model.

Lijuan Zhang, Ting Wei, Xuan Liu +6 more · 2026 · Chinese medicine · BioMed Central · added 2026-04-24
Aberrant microglial activation and impaired adult hippocampal neurogenesis play critical roles in the pathogenesis of depression. Although electroacupuncture (EA) has demonstrated clinical antidepress Show more
Aberrant microglial activation and impaired adult hippocampal neurogenesis play critical roles in the pathogenesis of depression. Although electroacupuncture (EA) has demonstrated clinical antidepressant efficacy, the underlying mechanisms by which it modulates microglial activity and promotes neurogenesis remain unclear. Male C57BL/6 J mice were subjected to chronic unpredictable mild stress (CUMS) for three weeks. Following this period, the mice were divided into groups receiving either EA at the Yintang (GV29) and Baihui (GV20) acupoints, imipramine (IMI) as a positive control, or no treatment (vehicle control) for an additional 3 weeks. To evaluate depressive-like behaviors, we conducted the sucrose preference test, forced swimming test, and tail suspension test. Anxiety-like behaviors were assessed using the open field test and elevated plus maze. We employed immunofluorescence, Golgi staining, Western blotting, and real-time quantitative PCR (qRT-PCR) to elucidate the effects of EA on microglia-driven hippocampal neurogenesis and BDNF signaling. Notably, loss-of-function experiments utilizing PLX5622 for microglial ablation and ANA-12 for TrkB blockade demonstrated the necessity of both microglia and BDNF signaling for the therapeutic efficacy of EA. EA treatment significantly alleviated CUMS-induced anxiodepressive behaviors. This behavioral recovery was associated with a phenotypic shift in microglia towards a pro-neurogenic state in the hippocampus. Importantly, microglia were essential for the therapeutic effects of EA, as evidenced by their ablation with PLX5622. Furthermore, EA enhanced neurogenesis by orchestrating a multi-step augmentation of BDNF signaling, which involved PKA activation, subsequent release from MeCP2-mediated transcriptional repression, and ultimately increased maturation of BDNF. Our findings demonstrate that EA exerts antidepressant effects by promoting a pro-neurogenic transformation of microglia. Mechanistically, these microglia enhance BDNF function via the PKA/MeCP2/BDNF pathway, thereby facilitating hippocampal neurogenesis and restoring synaptic plasticity, which collectively alleviate depressive symptoms. Show less
📄 PDF DOI: 10.1186/s13020-026-01334-y
BDNF

Decreased adipokine CTRP4 in CAD patients: CTRP4 attenuates atherosclerosis via inhibition of RAGE and TLR4.

Xinyi Shu, Feifei Li, Jiawei Chen +15 more · 2026 · Clinical and translational medicine · Wiley · added 2026-04-24
C1q/TNF-related proteins (CTRPs) belong to the adipokine family. Here, we aimed to assess the relation of CTRP4 levels in serum and perivascular adipose tissue (PVAT) with coronary artery disease (CAD Show more
C1q/TNF-related proteins (CTRPs) belong to the adipokine family. Here, we aimed to assess the relation of CTRP4 levels in serum and perivascular adipose tissue (PVAT) with coronary artery disease (CAD), and investigate the effect of CTRP4 on atherosclerosis and the underlying mechanisms. CTRP4 levels were examined in serum and epicardial adipose tissue (a major PVAT) from patients with CAD. Atherosclerotic lesions were analysed in CTRP4 CTRP4 levels were lower in serum and epicardial adipose tissue of patients with CAD compared to non-CAD controls. CTRP4 knockout promoted atherosclerosis in ApoE Decreased CTRP4 levels in serum and epicardial adipose tissue are associated with CAD in patients. CTRP4 deficiency promotes the development of atherosclerosis in ApoE Show less
📄 PDF DOI: 10.1002/ctm2.70624
APOE

Association between device-measured physical activity and aortic aneurysm risk: a prospective cohort study of 93165 UK biobank participants.

Shaohua Yan, Changyan Zhu, Yuqiu Hu +6 more · 2026 · Nutrition, metabolism, and cardiovascular diseases : NMCD · Elsevier · added 2026-04-24
Aortic aneurysm (AA) is a life-threatening vascular disease with high fatality upon rupture. While physical activity (PA) reduces cardiovascular risk, its role in AA prevention remains uncertain, part Show more
Aortic aneurysm (AA) is a life-threatening vascular disease with high fatality upon rupture. While physical activity (PA) reduces cardiovascular risk, its role in AA prevention remains uncertain, particularly when assessed objectively. We analyzed 93,165 UK Biobank participants (56% women; median age 57 years) with valid 7-day wrist-worn accelerometer data. PA was categorized as light (LPA), moderate (MPA), vigorous (VPA), and moderate-to-vigorous (MVPA). Diagnosed AA was ascertained through linked hospital, death, and primary care records. Cox models estimated hazard ratios (HRs) for AA across quartiles and per-standard deviation (SD) increments, with adjustment for demographic, lifestyle, and cardiometabolic factors. Over a median 7.9-year follow-up, 499 clinically recorded AA cases occurred. Higher accelerometer-measured PA was inversely associated with AA risk. Per-SD increments in total PA, MPA, VPA, and MVPA corresponded to 17%, 22%, 19%, and 23% lower risks, respectively. Compared with the lowest quartile, the highest MVPA quartile had a 44% lower AA risk (HR = 0.56, 95% CI 0.42-0.76). Subtype analyses revealed stronger protective effects for abdominal aortic aneurysm (AAA) than thoracic aortic aneurysm (TAA), while LPA was not significantly associated. These findings demonstrate that higher levels of accelerometer-measured MVPA are robustly associated with a decreased risk of clinically detected AA in a dose-dependent manner. The associations were particularly pronounced for AAA. This study provides objective evidence supporting the potential benefits of MVPA for aortic health. Show less
no PDF DOI: 10.1016/j.numecd.2026.104715
LPA

The concurrent burden of Alzheimer's pathology, cerebral amyloid angiopathy, and microinfarcts on cognitive decline.

Mingyao You, Chao Tang, Lianfei Liu +3 more · 2026 · The journal of prevention of Alzheimer's disease · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is frequently complicated by vascular co-morbidities. However, the specific mechanistic pathways by which vascular lesions interact with genetic susceptibility to accelerate c Show more
Alzheimer's disease (AD) is frequently complicated by vascular co-morbidities. However, the specific mechanistic pathways by which vascular lesions interact with genetic susceptibility to accelerate cognitive decline remain unclear. This study investigated whether cerebral amyloid angiopathy (CAA) and cortical microinfarcts mediate the impact of AD pathology on cognition and evaluated the modifying role of APOE genotype. We conducted a retrospective clinico-pathological study using the National Alzheimer's Coordinating Center (NACC) database. The cohort included autopsy-confirmed participants aged 50 and older. Structural Equation Modeling (SEM) was employed to quantify the pathways linking AD pathology (Thal phase) to CAA severity, microinfarcts, and cognitive performance (CDR-Sum of Boxes). We further assessed the cumulative burden of pathology by comparing "Pure AD" cases against those with a "Triple Hit" of AD, CAA, and microvascular injury. SEM analysis identified a significant statistical mediation pathway wherein parenchymal amyloid is strongly associated with CAA, which correlates with an increased risk of microinfarcts and subsequent cognitive dysfunction. We observed a significant gene-pathology interaction: APOE ε4 carriers demonstrated a steeper trajectory of cognitive decline for a given severity of CAA compared to non-carriers. Furthermore, the "Triple Hit" group exhibited significantly worse cognitive impairment than the "Pure AD" group (P < 0.001), independent of age and education. Vascular pathology is a critical mediator of cognitive failure in AD, particularly in APOE ε4 carriers. The concurrent "Triple Hit" of proteinopathy and vasculopathy is associated with a profound failure of cognitive reserve, likely reflecting a more advanced global disease state. These findings highlight the urgent need to target vascular resilience as a disease-modifying strategy in Alzheimer's disease. Show less
📄 PDF DOI: 10.1016/j.tjpad.2026.100568
APOE

Orphan Nuclear Receptor NR4A1 Promotes Proliferation and Osteogenic Differentiation of Valvular Interstitial Cells through Activation of CCND2.

Qiang Shen, Chao Zhang, Chen Jiang +8 more · 2026 · International journal of biological sciences · added 2026-04-24
Calcific aortic valve disease (CAVD), the most common human valve disease on a global scale, ranks and persists as an unaddressed clinical challenge. This is primarily attributed to the absence of eff Show more
Calcific aortic valve disease (CAVD), the most common human valve disease on a global scale, ranks and persists as an unaddressed clinical challenge. This is primarily attributed to the absence of efficacious pharmacological approaches. The Nuclear Receptor Subfamily 4 Group A Member 1 (NR4A1), intricately associated with the pathogenesis of multiple cardiovascular diseases, has emerged as a pivotal target for the diagnosis and treatment of numerous ailments. However, the specific molecular mechanisms and the functional significance of NR4A1 in the pathogenesis of CAVD are yet to be comprehensively elucidated. By performing in-depth analyses on human aortic valve tissues and carrying out functional investigations using primary valvular interstitial cells (VICs), we were able to demonstrate that NR4A1 significantly facilitated cellular proliferation and intensifies the osteogenic differentiation process of VICs. Evidently, this is reflected in the elevated expression of key osteogenic markers, namely runt-related transcription factor 2 (RUNX2) and alkaline phosphatase (ALP). Mechanistically, the pro-calcific effects were achieved via NR4A1-dependent modulation of the cell cycle regulatory protein Cyclin D2 (CCND2). Significantly, Show less
📄 PDF DOI: 10.7150/ijbs.122863
APOE

Tianwang Buxin Pill improves cognitive function in APP/PS1 mice by reducing neuronal damage and regulating synaptic plasticity.

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

A study on the motivation stratification and behavioral differentiation patterns of sports socializing among Chinese residents: an empirical exploration based on latent profile analysis and random forest models.

Yu Tian, Shuaishuai Liu, Fangjue Zhao · 2026 · BMC public health · BioMed Central · added 2026-04-24
As sports socializing is becoming a dominant lifestyle that integrates physical health with social interaction in China, understanding the underlying drivers of participation is crucial. However, trad Show more
As sports socializing is becoming a dominant lifestyle that integrates physical health with social interaction in China, understanding the underlying drivers of participation is crucial. However, traditional research predominantly relies on a “variable-centered” paradigm, which assumes population homogeneity and focuses on linear relationships between single motives and behaviors. This approach often fails to capture the complexity of how multiple motivations are configured within individuals (heterogeneity), and how these internal configurations are associated with external behavioral choices. To address this gap, this study employed a novel hybrid methodological framework combining Latent Profile Analysis (LPA) and Random Forest (RF) modeling. Based on data from 1,104 adults, LPA was first used to identify distinct motivational subgroups. Subsequently, RF algorithms, utilizing feature importance ranking and “One-vs-Rest” strategies, were applied to identify the associative patterns between these motivational profiles and key behavioral indicators, including sports types, media usage, and economic investment. The analysis identified four distinct motivational profiles: (1) Psychologically Introverted (3.6%), prioritizing internal psychological rewards over social status; (2) Physiologically Oriented (44.1%), the largest group, driven primarily by physical health needs; (3) Balanced (39.0%), exhibiting moderate levels across all motivational dimensions; and (4) High-Motivation/Comprehensively Oriented (13.3%), showing high intensity in both internal and external rewards. The RF model achieved a training accuracy of 99.9% and identified that Sports Type (specifically large-ball games), Media Channels (particularly Douyin/Rednote), and Annual Spending were the top three salient behavioral markers distinguishing these profiles. Notably, the High-Motivation group was characterized by heavy reliance on visual social media for social display. Participation in sports socializing among Chinese residents is not characterized by a singular, homogeneous motivation but features a clear internal stratification structure. The specific pattern of motivational combinations (i.e., the type) systematically maps onto external behavioral choices, where the sociocultural attributes of the sport and the media characteristics of digital social platforms constitute the key predictive markers of behavioral differentiation. The establishment of this “Motivation Type—Behavioral Signal” integrated framework promotes a theoretical shift in the sports socializing research paradigm from “homogeneity” to “heterogeneity” and deepens the understanding of the complex manifestations of Self-Determination Theory and Social Capital Theory in a sports context. It also provides precise user profiles and behavioral insights for sports social platforms, commercial clubs, and public sports service departments. Exploring service customization and policy adjustments based on different motivation-behavior patterns could potentially enhance user engagement and satisfaction, suggesting a possible direction for the development of the sports socializing industry. The online version contains supplementary material available at 10.1186/s12889-026-26780-z. Show less
📄 PDF DOI: 10.1186/s12889-026-26780-z
LPA

BDNF and miRNAs in acupuncture-regulated neuroplasticity: Emerging mechanisms and therapeutic strategies.

Jingxin Li, Lijuan Liu, Shuang Sun +2 more · 2026 · Medicine · added 2026-04-24
The trend of global population aging is closely associated with a rising incidence of neurodegenerative diseases (NDs), including stroke, Alzheimer disease, Parkinson disease, and depression. These co Show more
The trend of global population aging is closely associated with a rising incidence of neurodegenerative diseases (NDs), including stroke, Alzheimer disease, Parkinson disease, and depression. These conditions, characterized by progressive neuronal loss, currently pose a significant challenge due to the lack of curative therapies. Brain-derived neurotrophic factor (BDNF) serves as a critical regulator of synaptic plasticity, a fundamental mechanism believed to underpin essential cognitive and motor functions such as learning, memory formation, and recovery. Decreased BDNF and deficits in BDNF signaling leads to the pathogenesis of NDs. Numerous studies support the therapeutic potential of acupuncture in managing NDs. Its beneficial effects are largely attributed to the ability to elevate BDNF expression and potentiate associated neurotrophic signaling. Beyond direct BDNF modulation, acupuncture exerts regulatory effects on specific micro-RNAs (miRNAs). This includes miRNAs that directly target BDNF transcripts for posttranscriptional control, as well as others that independently influence molecules critical for maintaining synaptic plasticity. The binding of acupuncture-elevated BDNF to its high-affinity receptor, Tropomyosin-related kinase B (Trk-B), initiates the activation of key downstream signaling cascades, including phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT), mitogen-activated protein kinase/extracellular signal-related kinase (MAPK/ERK) and phospholipase C-γ (PLCγ) pathways which are involved in synaptic plasticity, survival, proliferation and differentiation of neurons. In this review, we present the effects of acupuncture on BDNF, miRNAs and the downstream signal transduction pathways of BDNF in NDs and the review may partly elucidate the biological molecular mechanisms of acupuncture in the therapy of NDs. Show less
📄 PDF DOI: 10.1097/MD.0000000000046851
BDNF

Identification of Blood Pressure-Associated Metabolites by Integrating Metabolomic and Genetic Analysis.

Yuanjiao Liu, Chunxiao Cheng, Xiong-Fei Pan +3 more · 2026 · MedComm · Wiley · added 2026-04-24
This study aimed to identify blood pressure-associated metabolites and explore their underlying pathways using multiomics data from 1188 Chinese participants. Serum metabolite levels were profiled usi Show more
This study aimed to identify blood pressure-associated metabolites and explore their underlying pathways using multiomics data from 1188 Chinese participants. Serum metabolite levels were profiled using untargeted and widely targeted metabolomic technologies. The associations of metabolites as well as ratios with blood pressure were assessed using generalized linear models (GLM). Targeted metabolomics was used to replicate a subset of metabolites. Genome-wide association studies (GWAS) were performed on all metabolites identified. Potential causality was examined using two-sample Mendelian randomization (MR) analyses, with partial validation against GWAS results from an independent cohort. This study identified 10 blood pressure-associated metabolites supported by GLM and MR analyses. Cortisol demonstrated the strongest association with blood pressure, with l-glutamic acid and its ratios identified as key drivers. Multiomics integration revealed that a genetic variant near the omega-3 metabolism genes ( Show less
📄 PDF DOI: 10.1002/mco2.70718
FADS1

Cryo-EM structures of Oryza sativa MRP5 reveal a phytate accumulation mechanism in plant vacuoles.

Jiaqi Zuo, Jie Zhang, Ying Tang +10 more · 2026 · The Plant cell · Oxford University Press · added 2026-04-24
Phytate (phytic acid, or InsP6), the primary phosphorus storage compound in plants, plays essential roles in nutrient homeostasis and cellular signaling. However, its strong metal-chelating properties Show more
Phytate (phytic acid, or InsP6), the primary phosphorus storage compound in plants, plays essential roles in nutrient homeostasis and cellular signaling. However, its strong metal-chelating properties make cytosolic accumulation cytotoxic, necessitating its sequestration into vacuoles for safe storage. Here, we present the cryo-EM structures of the rice vacuolar phytate transporter, OsMRP5, captured in distinct functional states. These structures reveal the molecular basis of OsMRP5 function as an ATP-binding cassette (ABC) transporter. OsMRP5 employs a specialized substrate-recognition mechanism, uniquely adapted to bind the fully hydrophilic InsP6 through extensive electrostatic and hydrogen-bonding interactions within two distinct, highly polar binding sites in its central cavity. A distinctive electropositive tunnel, positioned above the central cavity, forms a continuous pathway connecting the InsP6-binding pocket to the vacuolar export site. This tunnel likely generates an electrostatic attraction that facilitates the movement of the highly anionic InsP6 through the transporter. By mapping mutations from low-phytic acid (lpa) crop variants onto the OsMRP5 structures, we pinpoint their conserved locations critical for transporter function and validate their impact experimentally. These results reveal how OsMRP5 recognizes and transports the highly charged InsP6 molecules into vacuoles, providing a molecular framework for targeted manipulation of this agriculturally important transporter. Show less
no PDF DOI: 10.1093/plcell/koag088
LPA

Antidepressant effects of combined eucommia-gastrodia extract via modulation of the HIF-1α-EPO/cAMP-CREB-BDNF pathway: An integrated network pharmacology and in vivo study.

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