👤 Bowen 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, 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, 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

Flourishing and its influencing factor in inflammatory bowel disease patients: a latent profile analysis.

Bingyuan Lu, Linlin Ma, Fei Xia +5 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Flourishing is a key positive psychological construct that has been linked to favorable health-related outcomes in patients with inflammatory bowel disease in prior research. However, current research Show more
Flourishing is a key positive psychological construct that has been linked to favorable health-related outcomes in patients with inflammatory bowel disease in prior research. However, current research often overlooks the variations in flourishing levels within this population, as well as the mechanisms through which flourishing interacts with disease progression. This study aimed to identify latent categories of flourishing among patients with inflammatory bowel disease and to analyze the potential influencing factors. This study employed a cross-sectional, descriptive exploratory design involving 316 patients diagnosed with inflammatory bowel disease. Data collection was carried out using a general information questionnaire, the Flourishing Scale (FS), the IBD Self-Efficacy Scale (IBD-SES), the Resilience Scale for Inflammatory Bowel Disease (RS-IBD), and the Social Support Rating Scale (SSRS). Latent profile analysis (LPA) was utilized to identify potential subgroups exhibiting flourishing, while multiple logistic regression analysis was conducted to evaluate the influencing factors. The flourishing of individuals with inflammatory bowel disease was classified into three latent groups: the low flourishing-low support beneficiary group ( Patients with inflammatory bowel disease demonstrate three distinct latent categories of flourishing. Healthcare professionals should implement more accurate and targeted intervention measures based on the characteristics and influencing factors of different potential categories, in order to improve the flourishing levels of patients with inflammatory bowel disease. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1751497
LPA

Cognitive dysfunction in patients with interstitial lung disease.

Xiaojun Deng, Xingquan Xiong, Yuyan Liu +4 more · 2026 · Frontiers in medicine · Frontiers · added 2026-04-24
To investigate cognitive status in patients with interstitial lung disease (ILD) and its association with lung tissue transcriptomic alterations, and to propose potential lung-brain interaction mechan Show more
To investigate cognitive status in patients with interstitial lung disease (ILD) and its association with lung tissue transcriptomic alterations, and to propose potential lung-brain interaction mechanisms and clinical implications. We enrolled 45 ILD patients and 45 age-matched controls and compared Mini-Mental State Examination (MMSE) total and subscale scores. Baseline laboratory and pulmonary function characteristics of ILD were summarized. Using lung tissue RNA-seq data from GSE213001 {29 ILD cases [20 idiopathic pulmonary fibrosis (IPF), 9 non-IPF], 14 non-diseased controls [NDC], totaling 139 samples}, we performed PCA, differential expression analysis using the limma-voom framework with the duplicate Correlation function to account for within-donor correlations (threshold |log ILD patients showed significantly lower MMSE total scores than healthy controls, with notable declines in attention/calculation and orientation. At the transcriptomic level, PCA clearly separated ILD from NDC, whereas IPF and non-IPF did not form distinct subgroups. Differential analysis identified 1,544 DEGs (1,142 upregulated; 402 downregulated). Enrichment analysis confirmed strong signals for inflammatory and fibrotic pathways. In an exploratory analysis, we also observed enrichment for terms related to nervous system function. The expression trends of several genes previously implicated in neurocognitive contexts, including PSEN1, PSEN2, BACE1, showed a directional concordance with patterns described in neurodegenerative contexts. This study provides preliminary evidence linking ILD to cognitive impairment on screening and identifies intriguing overlaps between lung tissue transcriptomic alterations and pathways relevant to brain function. These convergent observations lend biological plausibility to, and motivate further investigation of, a lung-brain axis hypothesis in ILD. The findings highlight the need to consider cognitive health in ILD management and warrant validation in longitudinal cohorts with detailed neuropsychological phenotyping. Show less
📄 PDF DOI: 10.3389/fmed.2026.1739386
BACE1

Si-Ni-San alleviates depressive-like behaviors in adolescent male mice by restoring DRN-NAc serotonergic circuit function and 5-HT4R-dependent synaptic plasticity.

Yue Wang, Zuyi Liu, Jiayi Wu +12 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Early-life stress (ELS) is a key risk factor for adolescent depression. Si-Ni-San (SNS), a classic traditional Chinese medicine formula, has shown antidepressant potential, yet its effects on the dors Show more
Early-life stress (ELS) is a key risk factor for adolescent depression. Si-Ni-San (SNS), a classic traditional Chinese medicine formula, has shown antidepressant potential, yet its effects on the dorsal raphe nucleus (DRN)-nucleus accumbens (NAc) serotonergic circuit remain unclear. This study aimed to investigate whether SNS alleviates adolescent depression by restoring DRN-NAc serotonergic circuit function and to identify the serotonin receptor mediating its synaptic effects in the NAc. Firstly, the antidepressant efficacy of SNS was evaluated in a mouse model of ELS. Subsequently, its underlying mechanism was explored through integrated neurophysiological, molecular, and pharmacological analyses. Depressive- and anxiety-like behaviors were assessed using behavioral tests (sucrose preference, tail suspension, forced swim, open field, and elevated plus maze). In vivo electrophysiolog was employed to monitor DRN neuronal activity. Chemogenetic manipulation was employed to regulate the DRN-NAc serotonergic circuit, while 5-HT4R function was assessed through pharmacological intervention and viral knockdown. Synaptic and molecular mechanisms were examined using Western blotting, qPCR, ELISA, and immunofluorescence. SNS alleviated depressive-like behaviors, enhanced neural activity and low-frequency oscillations in the DRN, and restored 5-hydroxytryptamine (5-HT) levels in the NAc. Mechanistically, SNS upregulated tryptophan hydroxylase 2 (TPH2) while downregulating indoleamine 2,3-dioxygenase 1 (IDO1), thus promoting 5-HT synthesis. Critically, the antidepressant effects of SNS were blocked by either chemogenetic inhibition of the DRN-NAc serotonergic circuit or pharmacological blockade of 5-HT4R in the NAc. Meanwhile, the knockdown of 5-HT4R abolished the ameliorative effects of SNS on depressive-like behaviors and associated synaptic remodeling, including the upregulation of brain-derived neurotrophic factor, postsynaptic density protein 95, and mushroom spine density. These results demonstrate that SNS alleviates depressive-like behaviors in adolescent male mice by restoring DRN-NAc serotonergic circuit function, enhancing 5-HT bioavailability, and promoting 5-HT4R-dependent synaptic plasticity in the NAc, revealing a circuit- and receptor-specific therapeutic mechanism. Show less
no PDF DOI: 10.1016/j.phymed.2026.158088
BDNF adolescent depression depression neuroscience serotonergic circuit serotonin synaptic plasticity traditional chinese medicine

Pitolisant Inhibits Alcohol Drinking and Improves Withdrawal Negative Affect Through Lateral Habenula Histaminergic Signaling in Mice.

Yan Zhao, Yixin Fu, Tianhao Liu +11 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Alcohol use disorder (AUD) is a chronic condition marked by compulsive drinking and withdrawal-related negative affect. Histamine (HA) signaling, particularly via the histamine H3 receptor (H3R), may Show more
Alcohol use disorder (AUD) is a chronic condition marked by compulsive drinking and withdrawal-related negative affect. Histamine (HA) signaling, particularly via the histamine H3 receptor (H3R), may modulate alcohol-related behaviors. We investigated the effects of pitolisant, an FDA-approved H3R antagonist, on ethanol (EtOH)-related behaviors in mice. Adult male C57BL/6J mice underwent acute or chronic (2 or > 8 weeks) intermittent alcohol exposure. Pitolisant pretreatment was administered, and then pharmacological behavior, histologic, and molecular assays were conducted. Pitolisant administration reduced acute EtOH-induced locomotor activation, conditioned place preference, and sedative effects, and also curtailed EtOH intake. It alleviated anxiety and depression-like behavior during 24-h withdrawal (Post-EtOH). Mechanistically, the Post-EtOH condition was featured by complicated brain cFos expression mapping, including elevated cFos, [HA] and [glutamine]/[glutamate] ratio in the lateral habenula (LHb). However, systemic pitolisant treatment significantly increased [norepinephrine]/[normetanephrine] ratio, and restored the diminished phosphorylated CREB and BDNF levels in the LHb. Intra-LHb H2R antagonist cimetidine infusion partly blocked the pitolisant therapeutic effect on alcohol-related behavior. These findings highlight the HAergic system as a critical regulator of alcohol-related behaviors. The LHb HA signaling and norepinephrine neurotransmission might underlie pitolisant's potential novel therapeutic strategy for AUD. Show less
📄 PDF DOI: 10.1002/cns.70732
BDNF

TAF15 promotes the healing of diabetic foot ulcers by mediating the transcriptional activation of APOE through CEBPB to regulate PTX3.

Xu Lu, Yan Xu, Jiaxin Liu +1 more · 2026 · Molecular genetics and genomics : MGG · Springer · added 2026-04-24
Diabetic foot ulcers (DFU) are a severe complication of diabetes. Although dysregulated M2 macrophage polarization is recognized as a key driver of chronic inflammation in DFU, the molecular checkpoin Show more
Diabetic foot ulcers (DFU) are a severe complication of diabetes. Although dysregulated M2 macrophage polarization is recognized as a key driver of chronic inflammation in DFU, the molecular checkpoints that can be therapeutically targeted to restore M2 bias remain poorly defined. Here, we aimed to determine whether the RNA-binding protein TAF15 acts as a post-transcriptional stabilizer of the M2-promoting CEBPB/APOE/PTX3 axis, thereby accelerating DFU healing. First, we confirmed that APOE positively regulates PTX3, which supports M2 polarization and the proliferation and migration of HDF. CEBPB transcriptionally activated APOE and promoted M2 macrophage polarization. TAF15 stabilized CEBPB mRNA and affected HDF cell proliferation and migration by promoting M2 macrophage polarization. Additionally, TAF15 overexpression partially counteracted the disruption of M2 macrophage polarization caused by APOE silencing and facilitated DFU wound healing. Collectively, our findings establish TAF15-driven stabilization of CEBPB mRNA as a target point that sequentially activates APOE/PTX3 signaling to enforce M2 polarization and accelerate DFU closure. This study provides a preclinical rationale for the development of TAF15-targeted oligonucleotides or small-molecule strategies to reprogram wound macrophages and improve DFU outcomes in patients with diabetes. Show less
no PDF DOI: 10.1007/s00438-026-02385-4
APOE

The impact of 24-h activity patterns on executive function in older adults with chronic diseases: analysis of the isotonic substitution effect.

Zhiji Wang, Lin Wang, Shijie Liu +4 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
24-h activity encompasses four categories: light-intensity physical activity (LPA), moderate-to-vigorous-intensity physical activity (MVPA), sedentary behavior (SB), and sleep (SP). This study aims to Show more
24-h activity encompasses four categories: light-intensity physical activity (LPA), moderate-to-vigorous-intensity physical activity (MVPA), sedentary behavior (SB), and sleep (SP). This study aims to investigate the effects of different physical activity components on executive function in older adults with chronic diseases and to examine substitution effects among activity components. The findings provide scientific evidence to inform physical activity interventions for improving executive function in older adults with chronic diseases. A total of 105 older adults (72.64 ± 6.82 years) were recruited. Following questionnaire screening, 75 older adults with chronic diseases were ultimately included. Accelerometers objectively measured participants' daily SP, SB, LPA, and MVPA. Executive function was objectively assessed using the Stroop task, N-back task, and More-odd-shifting task. Component linear regression equation assessed the relationship between different activities and executive function in older adults with chronic diseases. The dose-response effects of "one-for-one" substitutions between different activity behaviors were explored. Component linear regression results showed that SB positively correlated with inhibitory control ( SP and MVPA significantly improve inhibitory control in older adults with chronic diseases, while LPA significantly enhances their working memory. It is recommended that older adults with chronic diseases adjust their daily time structure by increasing diverse physical activities, ensuring adequate sleep duration, and reducing sedentary behavior to improve executive function. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1733294
LPA

Symptom Burden in Patients with Acute Coronary Syndrome After Percutaneous Coronary Intervention: A Network and Latent Profile Analysis.

Shuqin Hong, Xiuni Gan, Wen Zhou +8 more · 2026 · Patient preference and adherence · added 2026-04-24
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated w Show more
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated with different symptom burden profiles to inform risk-stratified management after PCI. A convenience sample of 261 patients with ACS who underwent PCI at a tertiary hospital in Chongqing between November 2024 and August 2025 was recruited. Data were collected using a demographic questionnaire, the Cardiac Symptom Survey, and the Seattle Angina Questionnaire. Network analysis was conducted to identify inter-symptom associations and the structural characteristics of the symptom network. Latent profile analysis (LPA) was performed to classify symptom burden patterns, and multinomial logistic regression analysis was used to explore factors associated with profile membership. Network analysis indicated that depression was the most central symptom (strength Symptom burden in patients with ACS after PCI demonstrates substantial individual heterogeneity. Depression occupies a central position within the symptom network, and BMI is associated with moderate and high symptom burden profiles. These findings suggest that integrating symptom network characteristics and BMI status into post-PCI assessment may facilitate risk-stratified management and targeted psychological and weight-related interventions to improve recovery outcomes. Show less
📄 PDF DOI: 10.2147/PPA.S580130
LPA

Phase 1 dose-escalation trial of sub-endometrial injection of human embryonic stem cells-derived immunity-and-matrix-regulatory cells to promote endometrial angiogenesis in refractory intrauterine adhesion.

Qiang Li, Zhiqi Liao, Xinyao Hu +26 more · 2026 · Molecular therapy : the journal of the American Society of Gene Therapy · Elsevier · added 2026-04-24
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In Show more
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In this study, we investigated the therapeutic potential of clinical-grade human embryonic stem cell-derived immunity-and-matrix-regulatory cells (IMRCs) for treating refractory moderate-to-severe intrauterine adhesion (IUA). In a rabbit IUA model, sub-endometrial injection of IMRCs significantly reduced fibrosis and enhanced endometrial angiogenesis, outperforming uterine perfusion. Transcriptomic analysis revealed distinct pro-angiogenic gene expression profiles between the two delivery routes. In vitro, IMRCs co-cultured with endometrial stromal cells (ESCs) markedly enhanced angiogenic potential compared to either cell type alone. Protein array analysis of the co-culture supernatant showed elevated levels of angiogenic factors, with functional assays confirming that inhibition of ANGPTL4, a non-canonical pro-angiogenic mediator, impaired angiogenesis. In a first-in-human, single-center, phase 1 dose-escalation trial involving 18 patients with refractory IUA, high-dose sub-endometrial IMRC injection promoted angiogenesis, reduced uterine scarring, and improved pregnancy outcomes, with no safety concerns observed over 3 years of follow-up. These findings highlight the translational promise of IMRCs as a novel therapeutic strategy for endometrial regeneration in severe IUA. Show less
📄 PDF DOI: 10.1016/j.ymthe.2025.09.035
ANGPTL4

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

Interplay of accelerated biological aging, lifestyle factors, and genetic susceptibility in cognitive function: a community study.

Tianpei Ma, Xin Chen, Qingwen Zhao +19 more · 2026 · The journals of gerontology. Series A, Biological sciences and medical sciences · Oxford University Press · added 2026-04-24
Cognitive impairment is a significant health concern in aging populations, but the interplay between biological aging, lifestyle factors, and genetic susceptibility remains unclear. This study examine Show more
Cognitive impairment is a significant health concern in aging populations, but the interplay between biological aging, lifestyle factors, and genetic susceptibility remains unclear. This study examined whether accelerated biological aging is associated with cognitive impairment, whether lifestyle modifies this association, and how genetic background influences these relationships in Chinese older adults. In this cross-sectional study (2022-2023), 7033 participants from southwestern China were included. Accelerated biological aging was calculated as the residual difference between biological age (based on 10 biomarkers) and chronological age. Lifestyle was assessed via a composite index (smoking, alcohol, physical activity, diet, sleep). Cognitive function was measured using the Chinese Mini-Mental State Examination (C-MMSE), and genetic risk was evaluated through polygenic scores and APOE ε4 status. Linear and logistic regression models assessed associations between accelerated aging and cognition. Accelerated biological aging was associated with lower MMSE scores ( β = -0.243, 95% CI: -0.354, -0.133) and higher cognitive impairment prevalence (OR = 1.098, 95% CI: 1.040, 1.158). An unhealthy lifestyle exacerbated cognitive impairment in biologically older individuals (RERI = 0.25). Those with both accelerated aging and unhealthy lifestyle had the lowest MMSE scores ( β = -1.424, 95% CI: -1.846, -1.003) and highest odds of cognitive impairment (OR = 1.467, 95% CI: 1.194, 1.803). These effects were consistent across all genetic background subgroups. Accelerated aging was associated with lower cognitive function, especially in individuals with unhealthy lifestyles, regardless of genetic susceptibility. This highlights lifestyle modification as a potential intervention target for aging-related cognitive impairment. Show less
no PDF DOI: 10.1093/gerona/glaf277
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

Social determinants of health, genetic biomarkers, and cognitive function in Chinese older adults with subjective cognitive decline and mild cognitive impairment: A cross-sectional analysis.

Chun-Xu Shi, Jia-Huan Li, Jin Liu +8 more · 2026 · Journal of Alzheimer's disease reports · SAGE Publications · added 2026-04-24
Social isolation (SI) is an established risk factor for Alzheimer's disease (AD) and cognitive decline. However, its stage-specific effects across the AD continuum, particularly at subjective cognitiv Show more
Social isolation (SI) is an established risk factor for Alzheimer's disease (AD) and cognitive decline. However, its stage-specific effects across the AD continuum, particularly at subjective cognitive decline (SCD) and mild cognitive impairment (MCI) stages, remain unquantified in Chinese populations. The sex-specific effects of SI on cognitive decline remain incompletely characterized. The apolipoprotein E ( To investigate social connection characteristics and gene distribution in individuals with SCD or MCI, examine their cross-sectional associations with cognitive function, and explore gender differences in SCD or MCI risk/prevention. A community-based sample of 164 SCD and 84 MCI patients (July 2021-Dec 2024) was assessed. Demographic, social connectivity, LSNS-6 scores showed weak-to-moderate correlations with Montreal Cognitive Assessment ( SI may exacerbate cognitive dysfunction in adults with SCD or MCI. Women leverage social connectivity into significantly greater neuroprotective gains compared to men. ChiCTR2300073429. https://www.chictr.org.cn/bin/project/edit?pid=200381. Show less
📄 PDF DOI: 10.1177/25424823251409405
APOE

Hippocampal Hap1 down-regulation impairs glucocorticoid receptor nuclear translocation and exacerbates Alzheimer's disease-related neuropathology in APP/PS1 mice.

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

Cerebral FURIN deficiency impairs astrocytic lipophagy through ITGAV maturation.

Xiao-Yong Xie, Lu Wang, Shi-Qi Xie +14 more · 2026 · Autophagy · Taylor & Francis · added 2026-04-24
FURIN cleaves a subset of proproteins into functional mature fragments. Evidence suggests that FURIN is involved in brain development and the associated diseases, whereas the potential mechanisms rema Show more
FURIN cleaves a subset of proproteins into functional mature fragments. Evidence suggests that FURIN is involved in brain development and the associated diseases, whereas the potential mechanisms remain incompletely understood. Here, we report that cerebral FURIN-deficient mice exhibit cognitive decline and neurodegeneration. Lipid droplets (LDs) that are preferentially accumulated in astrocytes correlate with an increase of the LD markers PLIN2 and PLIN3, and conversely a decreased level of autophagic proteins including ATG5, BECN1 and MAP1LC3/LC3 as well as LAMP1. Accordingly, silencing of Show less
no PDF DOI: 10.1080/15548627.2025.2601039
BACE1

Mapping comorbid depression and anxiety in Southwest China's ethnic minorities areas: A population-based latent profile and network analysis of 58,739 individuals.

Yongmei Wu, Wenjing Xia, Yang Yang +18 more · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroup Show more
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroups, risk factors, and symptom-level interactions underlying depression-anxiety comorbidity across adolescents and adults in multi-ethnic Southwest China. The study included a total of 41,394 adolescents (aged 9-19) and 17,345 adults (aged 18-80). Adolescents were recruited using multistage stratified cluster sampling, whereas adults were recruited by convenience sampling. All participants completed a self-designed sociodemographic questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7). Latent profile analysis identified subgroups, logistic regression analyzed risk/protective factors, and network analysis mapped symptom interactions and bridge nodes. This study found that three adolescent profiles emerged: high (11.66 %), moderate (31.95 %), and low/no depression-anxiety (56.39 %). Adults were classified into low/no comorbidity (90.63 %) and comorbid depression-anxiety (9.37 %). Risk factors for adolescents included female gender (OR = 2.77, 95 %CI: 2.55-3.00; OR = 1.59, 95 %CI: 1.52-1.67), higher grade levels (OR = 3.45, 95 %CI: 3.10-3.84; OR = 3.56, 95 %CI: 3.33-3.80), smoking (OR = 1.72, 95 %CI: 1.51-1.96; OR = 1.28, 95 %CI: 1.17-1.41),drinking (OR = 2.45, 95 %CI: 2.23-2.70; OR = 1.66, 95 %CI: 1.55-1.77), family instability (OR = 1.16, 95 %CI: 1.02-1.31; OR = 1.33, 95 %CI: 1.14-1.56) and "other" ethnic minority (OR = 1.15, 95 %CI: 1.04-1.26). For adults, female gender(OR = 1.68; 95 %CI: 1.44-1.97), living alone(OR = 1.37; 95 %CI: 1.14-1.65), poor self-rated health (OR = 0.13, 95 %CI: 0.11-0.15), and Dai ethnicity (OR = 0.70, 95 %CI: 0.49-0.96) predicted comorbidity. Network analysis revealed distinct bridge symptoms: adolescents in the high depression-anxiety group had five symptoms: depressed or sad mood (phq2), psychomotor agitation/retardation (phq8), nervousness or anxiety (gad1), restlessness (gad5), and irritable (gad6); however, adults with comorbidity had one symptom: afraid something will happen (gad7). This study identified three patterns of depression-anxiety comorbidity in adolescents and two in adults. Efforts should prioritize adolescents from "other" ethnic minorities, strengthening family and peer support, as well as smoking and drinking interventions for adolescents, and addressing social isolation, physical health, and catastrophizing cognition in adults may mitigate the comorbidity burden. Show less
no PDF DOI: 10.1016/j.jad.2025.121112
LPA

Endogenous FGFs drive ERK-dependent cell fate patterning in 2D human gastruloids.

Kyoung Jo, Zong-Yuan Liu, Gauri Patel +6 more · 2026 · Development (Cambridge, England) · added 2026-04-24
The role of FGF is the least understood of the morphogens driving mammalian gastrulation. Here, we have investigated FGF function in a 2D gastruloid model for human gastrulation. We observed a ring of Show more
The role of FGF is the least understood of the morphogens driving mammalian gastrulation. Here, we have investigated FGF function in a 2D gastruloid model for human gastrulation. We observed a ring of FGF-dependent ERK activity that closely follows the emergence of primitive streak (PS)-like cells but expands further inward. This ERK activity pattern depends on localized activation of basolateral FGF receptor 1 (FGFR1) by endogenous FGF gradients and is required for PS-like differentiation, with loss of PS-like cells upon FGF receptor inhibition rescued by direct ERK activation. Single cell transcriptome analysis confirmed that, among the ligands, FGF2 is broadly expressed, FGF8 is transiently expressed during PS-like differentiation and FGF4/17 are specifically expressed in PS-like cells - similar to the human and monkey embryo but different from the mouse. FGF4 knockdown greatly reduced PS-like differentiation, while FGF17 knockdown primarily affected subsequent mesoderm differentiation. FGF8 expression was spatially and temporally displaced from PS markers and FGF4 expression, while knockdown expanded PS-like cells, suggesting FGF8 may limit PS-like differentiation. Thus, we have identified a previously unreported role for FGF-dependent ERK signaling in 2D gastruloids and possibly the human embryo, where FGF4 and FGF17 signal through basolateral FGFR1 to induce PS-like cells and derivatives, potentially restricted by FGF8. Show less
no PDF DOI: 10.1242/dev.205459
FGFR1

Endoplasmic Reticulum Stress in the Keratinocytes Contributes to Chronic Itch by Activation of Lipocalin 2/MC4R/TRPV1 Pathway.

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

Multiomics Mendelian Randomization of GWAS, eQTL, and pQTL Combined With Drug Analysis to Predict Drug Targets in Myocardial Infarction.

Didi Yuan, Lian Hu, Yanqing Huang +4 more · 2026 · Journal of cardiovascular pharmacology and therapeutics · SAGE Publications · added 2026-04-24
Despite significant advances in the management of myocardial infarction (MI), therapeutic options targeting upstream pathogenic mechanisms remain scarce. This study introduces a novel multiomics-to-dr Show more
Despite significant advances in the management of myocardial infarction (MI), therapeutic options targeting upstream pathogenic mechanisms remain scarce. This study introduces a novel multiomics-to-drug discovery framework to identify and validate causal therapeutic targets for MI. We conducted a systematic two-sample Mendelian randomization (MR) analysis integrating expression quantitative trait loci (eQTL) and protein quantitative trait loci (pQTL) data from the IEU OpenGWAS database, with replication in the UK Biobank cohort. Causal inference was rigorously validated using HEIDI heterogeneity tests, Bayesian colocalization, bidirectional MR, and multivariate MR (MVMR) to account for potential confounders. Downstream applications were explored via protein-protein interaction (PPI) network analysis, phenome-wide association studies (PheWAS), and molecular docking simulations. Initial screening identified four candidate genes (BMP1, APOB, FABP2, and ALDH2) associated with MI risk in both discovery and replication cohorts. However, only BMP1 demonstrated consistent causal effects at both transcriptional and proteomic levels, passing all sensitivity analyses with no evidence of horizontal pleiotropy in PheWAS. Colocalization and bidirectional MR further confirmed BMP1 as a robust, independent causal driver of MI. Molecular docking revealed that UK-383367, a selective BMP1 inhibitor, exhibits high binding affinity to the BMP1 active site. While BMP1 is traditionally associated with extracellular matrix remodeling, this study provides the first genetic evidence establishing it as an independent causal risk factor for MI, distinct from conventional traits such as hypertension. By bridging causal genetic inference with structure-based drug prediction, we propose BMP1 inhibition, specifically via agents like UK-383367, as a promising therapeutic strategy to mitigate MI-related pathological remodeling. Show less
no PDF DOI: 10.1177/10742484261440344
APOB

Porcine myostatin suppresses long chain polyunsaturated fatty acid accumulation through a CEBPD/BRD4/FADS1 axis.

Shijin Qi, Hongyan Ren, Changfan Zhou +2 more · 2026 · Science China. Life sciences · Springer · added 2026-04-24
no PDF DOI: 10.1007/s11427-025-3070-7
FADS1

Effects of Short-Term Exposure to Polystyrene Nanoplastics on the Nervous System: Calcium Homeostasis, BDNF and Synaptic Plasticity.

Yiming Zhao, Licheng Yan, Yizhe Wei +8 more · 2026 · Toxics · MDPI · added 2026-04-24
(1) Background: The increasing environmental concentration of polystyrene nanoplastics (PS-NPs) may pose a risk of human exposure and health threats. Previous studies have demonstrated that exposure t Show more
(1) Background: The increasing environmental concentration of polystyrene nanoplastics (PS-NPs) may pose a risk of human exposure and health threats. Previous studies have demonstrated that exposure to PS-NPs poses a threat to neural synaptic plasticity, yet the underlying mechanisms remain unclear. (2) Methods: Hippocampal astrocytes and neurons were co-cultured, exposed to PS-NPs at concentrations of 10, 50, and 100 μg/mL, and cytotoxicity was assessed. We investigated PS-NP-induced impairment of synaptic plasticity by regulating the brain-derived neurotrophic factor (BDNF). (3) Results: Calmodulin-dependent protein kinase II (CaMKII) is a central molecular organizer of synaptic plasticity, learning, and memory, and its activity is intrinsically linked to intracellular calcium ion concentration. Our research indicates that PS-NPs may interfere with calcium ion signaling and CaMKIIα activity, thereby reducing CaMKIIα activity. This subsequently downregulates the expression of cAMP response element-binding protein (CREB), modulates BDNF expression, and impacts synaptic plasticity. (4) Conclusions: In summary, this study primarily focused on the effects of PS-NPs exposure on hippocampal synaptic plasticity. Show less
📄 PDF DOI: 10.3390/toxics14020178
BDNF

The relationship between motor competence and physical activity of school-aged children: the mediating effect of physical fitness in China.

Dan Lei, Wei Liang, Fengying Yang +3 more · 2026 · BMC pediatrics · BioMed Central · added 2026-04-24
This study examined the relationship between motor competence (MC) and Physical Activity (PA) in school-aged children, and assessed the mediating role of physical fitness, based on the Model of the Re Show more
This study examined the relationship between motor competence (MC) and Physical Activity (PA) in school-aged children, and assessed the mediating role of physical fitness, based on the Model of the Relationship between Children’s Motor Development and Obesity Risk. From March to April 2022, 1,026 children (53.6% boys, mean age 8.93 years) from four public primary schools in Shijiazhuang City, China, were recruited via stratified cluster sampling. MC was assessed using the Test of Gross Motor Development, 3rd edition (TGMD-3), PA was measured via a three-axis accelerometer, and physical fitness was evaluated according to the Chinese National Student Physical Health Standards (2014 revision). Data were analyzed using SPSS 26.0, with mediation tested via the bias-corrected bootstrap method (10,000 resamples). Ball skills ( Ball skills are critical for promoting MVPA in school-aged children, with physical fitness acting as a significant mediator. Systematic ball skill training is recommended as a core strategy to enhance physical activity via improved fitness. Show less
📄 PDF DOI: 10.1186/s12887-026-06590-3
LPA

Reprogramming Lesional Macrophage Homeostasis via Interferon Regulatory Factor 5 Targeted siRNA Nanoimmunotherapy for Atherosclerosis.

Zhongshan He, Yaoyao Luo, Shuping Yang +13 more · 2026 · ACS nano · ACS Publications · added 2026-04-24
Atherosclerotic macrophages predominantly exhibit a pro-inflammatory phenotype, driving chronic inflammatory and accelerating atherosclerotic progression. Interferon regulatory factor 5 (IRF5) is high Show more
Atherosclerotic macrophages predominantly exhibit a pro-inflammatory phenotype, driving chronic inflammatory and accelerating atherosclerotic progression. Interferon regulatory factor 5 (IRF5) is highly expressed in lesional macrophages within advanced atherosclerotic plaques, where it promotes the secretion of pro-inflammatory cytokines. However, current approaches lack an effective therapeutic strategy to specifically silence this gene in lesional macrophages for atherosclerosis treatment. This study aims to develop and evaluate a dual-targeted, siRNA-based nanotherapeutic platform that selectively acts on atherosclerosis-promoting genes in plaque macrophages, offering a potential strategy for treating atherosclerosis by reprogramming lesional macrophages. Here we designed and developed dual-targeted liposome-based nano-immunotherapeutics encapsulating small interfering RNA (siRNA) against IRF5 (siIRF5) to reprogram macrophage phenotypes within advanced plaques. In high-fat diet-fed Show less
📄 PDF DOI: 10.1021/acsnano.5c18044
APOE

ROS-responsive self-assembly of baicalin-peptide as a "Molecular Latch" to break the endothelial-to-mesenchymal transition-inflammation loop in atherosclerotic plaques.

Zien Lin, Zhiye Wu, Lisha Li +9 more · 2026 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Atherosclerotic plaque rupture, driven by a vicious pathological cycle between endothelial-to-mesenchymal transition (EndMT) and chronic inflammation, represents a major therapeutic challenge in cardi Show more
Atherosclerotic plaque rupture, driven by a vicious pathological cycle between endothelial-to-mesenchymal transition (EndMT) and chronic inflammation, represents a major therapeutic challenge in cardiovascular disease. Current clinical strategies, including statins and antiplatelet agents, fail to disrupt the EndMT-inflammation axis, while conventional TGF-β pathway inhibitors-critical for EndMT regulation-exhibit narrow therapeutic windows and systemic toxicity owing to the pleiotropic nature of TGF-β signaling. Here, we reported VRBPC, a VCAM-1-targeting, reactive oxygen species (ROS)-responsive baicalin-peptide conjugate that undergoes in situ self-assembly within atherosclerotic plaques to form a "molecular latch" that breaks the EndMT-inflammation loop. Upon VCAM-1-mediated endocytosis into activated endothelial cells, VRBPC responds to elevated ROS levels in the plaque microenvironment, triggering localized self-assembly that enhances baicalin retention and promotes its competitive binding to HSP90-a critical chaperone for TGF-β receptor stabilization. This mechanism inhibits Smad2/3 phosphorylation, reverses EndMT, and simultaneously suppresses inflammatory responses in macrophages. In vitro, VRBPC effectively restored endothelial phenotype, reduced aberrant migration, and diminished foam cell formation alongside pro-inflammatory cytokine secretion. In ApoE Show less
no PDF DOI: 10.1016/j.jconrel.2026.114821
APOE

Senkyunolide H potentiates bone marrow-derived mesenchymal stem cells therapy for liver cirrhosis by targeting MAEA to enhance ERK-driven HGF secretion.

Yue Liang, Ying-Lin Zhang, Tian-Yu Cheng +7 more · 2026 · Pharmacological research · Elsevier · added 2026-04-24
Pharmacological preconditioning of mesenchymal stem cells (MSCs) is a promising strategy to enhance their therapeutic efficacy for end-stage liver disease; however, maximizing this benefit remains a m Show more
Pharmacological preconditioning of mesenchymal stem cells (MSCs) is a promising strategy to enhance their therapeutic efficacy for end-stage liver disease; however, maximizing this benefit remains a major clinical challenge. Senkyunolide H (SNH), a small-molecule compound derived from Angelica sinensis, exhibits anti-inflammatory, antioxidant, and anti-apoptotic properties. Nevertheless, its capacity to optimize MSCs-based therapy for liver disease has not been fully elucidated. Here, we demonstrate that SNH preconditioning significantly enhances the therapeutic efficacy of bone marrow mesenchymal stem cells (BMSCs) in a murine model of liver cirrhosis. Specifically, SNH-pretreated BMSCs markedly alleviated hepatocellular injury, promoted hepatocyte proliferation, and attenuated collagen deposition. Mechanistically, SNH augments the therapeutic potency of BMSCs by partly binding to macrophage erythroblast attacher (MAEA), a subunit of the E3 ubiquitin ligase complex. This interaction stabilizes MAEA, which in turn facilitates the ubiquitination and proteasomal degradation of dual specificity phosphatase 6 (DUSP6), thereby activating ERK/STAT3 signaling and upregulating the secretion of hepatocyte growth factor (HGF). Collectively, our findings highlight SNH preconditioning as a robust approach to enhance the paracrine function and therapeutic potential of BMSCs, and identify MAEA as a novel therapeutic target for BMSCs-based interventions in liver cirrhosis. Show less
no PDF DOI: 10.1016/j.phrs.2026.108160
DUSP6

Bergapten alleviates Parkinson's disease-like behaviors in mice by inhibiting astrocyte inflammatory activation and endoplasmic reticulum stress through the regulation of the LCN2/JAK2/STAT3 pathway.

Jiaxin Li, Rui Tang, Jiahui Liu · 2026 · Pakistan journal of pharmaceutical sciences · added 2026-04-24
Parkinson's disease (PD) is a common neurodegenerative disorder involving multiple pathological processes. Bergapten (BeG) exhibits various pharmacological activities, including anti-inflammatory, ant Show more
Parkinson's disease (PD) is a common neurodegenerative disorder involving multiple pathological processes. Bergapten (BeG) exhibits various pharmacological activities, including anti-inflammatory, antioxidant and neuroprotective effects, but its mechanism of action in PD remains unclear. This study aimed to investigate the neuroprotective effects and underlying mechanisms of BeG in PD models. An in vitro neuroinflammation model was established using LPS-treated astrocytes. In-vitro studies demonstrated that BeG counteracted LPS-induced astrocyte activation by reducing the expressions of GFAP, inflammatory mediators (IL-6, TNF-α, IL-1β), and A1 polarization markers. It alleviated ERS (as indicated by reduced levels of GRP78, CHOP) and apoptosis (as shown by changes in Bax, caspase-3) while enhancing Bcl-2. Mechanistically, BeG suppressed LCN2 expression and JAK2/STAT3 phosphorylation, with LCN2 overexpression attenuating its protective effects. In MPTP-treated mice, BeG improved motor function, preserved dopaminergic neurons, and reduced astrocyte activation and A1 polarization. It increased neurotrophic factors (BDNF, GDNF) while decreasing inflammation, ER stress and apoptotic markers. The inhibition of the LCN2/JAK2/STAT3 pathway was consistently observed in both models, suggesting its central role in BeG's neuroprotective mechanism. These findings suggest that BeG exerts neuroprotective effects in PD by inhibiting the LCN2/JAK2/STAT3 signaling pathway, thereby effectively inhibiting astrocyte activation-mediated neuroinflammation and ERS. Show less
📄 PDF DOI: 10.36721/PJPS.2026.39.4.REG.15008.1
BDNF astrocyte endoplasmic reticulum stress inflammation jak2 lcn2 neuroprotection parkinson's disease

Tongqiao Huoxue Decoction (TQHXD) ameliorates ischaemic stroke in rats by promoting glycolysis enhancing neurogenesis and activating BDNF/AKT/CREB signalling pathway.

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

Transcriptomic and metabolomic insights into lipid metabolism genes underlying meat quality differences between yellow-feathered and white-feathered broilers in China.

Mengyuan Li, Mengqian Liu, Yu Yang +4 more · 2026 · Poultry science · Elsevier · added 2026-04-24
One important element impacting meat quality is fat metabolism, which mainly affects meat features through intramuscular fat deposition. Chinese native yellow-feathered broilers and white-feathered br Show more
One important element impacting meat quality is fat metabolism, which mainly affects meat features through intramuscular fat deposition. Chinese native yellow-feathered broilers and white-feathered broilers differ significantly in intramuscular fat concentration. This study used transcriptomic and metabolomic sequencing technologies to identify a total of 173 differentially expressed genes and 259 differential metabolites in the pectoral muscles of Chahua Chicken No. 2 and Cobb broiler in order to explore the genetic mechanisms by which lipid metabolism influences meat quality in Chinese indigenous yellow-feathered and white-feathered broilers. These included differentially expressed genes like FABP1, LPL, ELOVL7, SLC27A1, MOGAT1, and ULK2, which were enriched in pathways relevant to lipid metabolism and showed strong associations with γ-linolenic acid and palmitaldehyde, two distinct metabolites. In order to develop local chicken germplasm resources and breed superior indigenous chicken varieties, these candidate genes could serve as the genetic foundation for the variations in meat quality and lipid metabolism between Chinese native yellow-feathered and white-feathered broilers. Show less
📄 PDF DOI: 10.1016/j.psj.2025.106334
LPL

Interplay between intra-pancreatic fat deposition, exchangeable apolipoproteins, and lipoprotein subclasses.

Yutong Liu, Juyeon Ko, Loren Skudder-Hill +3 more · 2026 · Nutrition, metabolism, and cardiovascular diseases : NMCD · Elsevier · added 2026-04-24
Exchangeable apolipoproteins, including apolipoprotein C-II (apo C-II), apolipoprotein C-III (apo C-III), and apolipoprotein E (apo E), play central roles in the modulation of cardiovascular disease ( Show more
Exchangeable apolipoproteins, including apolipoprotein C-II (apo C-II), apolipoprotein C-III (apo C-III), and apolipoprotein E (apo E), play central roles in the modulation of cardiovascular disease (CVD) risk by readily transferring between anti-atherogenic high-density lipoprotein (HDL) and pro-atherogenic triglyceride-rich lipoproteins (TRL). High intra-pancreatic fat deposition (IPFD) has also emerged as a novel risk factor for CVD. This study aimed to investigate the associations of apo C-II, apo C-III, and apo E with IPFD, as well as with TRL and HDL subclasses. Abdominal magnetic resonance imaging at 3.0 T was used to quantify IPFD. Plasma levels of apo C-II, apo C-III, and apo E were measured. TRL and HDL subclasses were analysed, with TRL categorised into very-low-density lipoprotein (VLDL) and intermediate-density lipoprotein (IDL) subclasses (IDL-C, IDL-B, and IDL-A), and HDL into HDL-large, HDL-intermediate, and HDL-small subclasses. Univariate and multivariate linear regression analyses were performed to assess these associations. A total of 128 individuals were analysed. IPFD showed a significant inverse association with both apo C-II and apo C-III, consistent across all statistical models. In the most adjusted model, each unit increase in IPFD was associated with a 0.36-unit decrease in apo C-II (p = 0.001) and a 0.31-unit decrease in apo C-III (p = 0.004). Furthermore, apo C-II and apo C-III were significantly and inversely associated with all IDL subclasses (p < 0.02), but not with VLDL, across all models. No statistically significant association between apo E and IPFD or any IDL subclass was observed in the most adjusted model. Apo C-II and apo C-III, but not apo E, contribute to the previously observed positive relationship between IPFD and IDL. Show less
no PDF DOI: 10.1016/j.numecd.2025.104280
APOC3

Gpx4 Deletion-Mediated Macrophage Ferroptosis Alleviates Obesity-Associated Insulin Resistance.

Suhua Wu, Juan Peng, Xiaodong Wang +11 more · 2026 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Obesity has become a global epidemic and a major contributor to the development of Type 2 diabetes (T2D) through the promotion of insulin resistance. Emerging evidence has shown that GPX4 expression i Show more
Obesity has become a global epidemic and a major contributor to the development of Type 2 diabetes (T2D) through the promotion of insulin resistance. Emerging evidence has shown that GPX4 expression is reduced in macrophages under hyperglycemic conditions; however, the involvement of macrophage-specific GPX4 in obesity-associated insulin resistance remains unclear. We generated macrophage-specific Gpx4 knockout (Gpx4 Show less
📄 PDF DOI: 10.1096/fj.202503596R
LPL

Interleukin-6 Signaling Mediates Mitochondrial Fragmentation and Mitophagy Impairment to Induce Macrophages Ferroptosis in Atherosclerosis.

Minhui Li, Lin Zheng, Xiao Tang +9 more · 2026 · Inflammation · Springer · added 2026-04-24
Atherosclerosis is respectively correlated with interleukin-6/interleukin-6 receptor (IL6/IL6R) mediated inflammation signaling and macrophages ferroptosis. Nonetheless, the underlying mechanism of IL Show more
Atherosclerosis is respectively correlated with interleukin-6/interleukin-6 receptor (IL6/IL6R) mediated inflammation signaling and macrophages ferroptosis. Nonetheless, the underlying mechanism of IL6/IL6R signaling mediated macrophages ferroptosis in atherosclerosis remains unknown. This study aims to investigate whether IL6/IL6R signaling mediated macrophages ferroptosis through mitochondrial fragmentation and mitophagy impairment. Two human atherosclerotic transcriptomic datasets were used to conduct bioinformatic analysis. In vitro, counting kit-8 (CCK-8) assays, flow cytometry, immunofluorescence staining, malondialdehyde (MDA) and glutathione (GSH) assay kits were employed to evaluate reactive oxygen species (ROS) levels and macrophages ferroptosis. Transmission electron microscopy (TEM), laser confocal microscope and seahorse experiments were used to evaluate changes of mitochondrial morphology and mitochondrial function. Western blotting (WB) was used to quantify key markers of mitophagy and ferroptosis. In vivo, histological stainings and WB were used to determine the effects of IL6R deficiency on atherosclerosis, mitophagy and ferroptosis. Integrated bioinformatic analysis revealed that the IL6 expression could stratify early and advanced plaques. IL6 induced macrophages ferroptosis by increasing ROS and MDA levels, depleting GSH level, promoting lipid peroxidation and suppressing glutathione peroxidase 4 (GPX4) expression. Dynamin-related protein 1 (Drp1) mediated excessive mitochondrial fragmentation in IL6-induced macrophages, resulting in more shortened mitochondria, impaired oxidative phosphorylation (OXPHOS) and ROS accumulation. Activation of mitophagy, the process of mitochondrial fragmentation clearance, could increase GPX4 expression and attenuate the lipid peroxidation level in IL6 induced macrophages. Aggravation of ferroptosis further compromised mitophagy-related proteins expression. Targeting IL6R signaling attenuated atherosclerotic burden in ApoE [Image: see text] The online version contains supplementary material available at 10.1007/s10753-025-02359-5. Show less
📄 PDF DOI: 10.1007/s10753-025-02359-5
APOE