👤 Shiying Li

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Also published as: Xiaofeng Li, Jingwen Li, Jiajia Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Xihao Li, Ziming Li, Hang Li, Rongqing Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Zhao-Yang Li, Jiajie Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, Peilin Li, X Y Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Guanglve Li, Ye Li, Z Li, Zili Li, Xinmei Li, Yihao Li, Qing Run Li, Liling Li, Wulan Li, Meng-Yang Li, Ziyun Li, Haoxian Li, Xiaozhao Li, Jun-Ying Li, Da-Lei Li, Xinhai Li, Yongjiang Li, Wanru Li, Jinming Li, Huihui Li, Wenhao Li, Qiankun Li, Kailong Li, Shengxu Li, Shisheng Li, Sai Li, Guangwen Li, Hua Li, Xiuli Li, Dongmei Li, Yulong Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Xueyang Li, Xuelin Li, Caiyu Li, Zhen-Yuan Li, Fa-Hui Li, Guangpu Li, Teng Li, Wen-Jie Li, Hegen Li, Ang Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Chen-Xi Li, Mingxu Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, Yaoqi Li, San-Feng Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin Li, Linke Li, Shuaicheng Li, C Y Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Yongli Li, Z-H Li, Hujie Li, Baohong Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Hualing Li, Wen-juan Li, Sibing Li, Xining Li, Qinghe Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Jingya Li, Huanan Li, Liqin Li, Youjun Li, Zheng-Dao Li, Miao X Li, Zhenshu Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Kangli Li, Ming Li, Runwen Li, Wenbo Li, Yarong Li, Side Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Lingxi Li, Chuan-Hai Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Qin Li, Zhongyu Li, Deyu Li, Zhen-Yu Li, Annie Li, Hansen Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Qintong Li, Xiao Li, Junping Li, PeiQi Li, Xiaobing Li, Naishi Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Ruonan Li, Jun-Jie Li, Cui-lan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Desen Li, Tianjun Li, Xiying Li, Yansong Li, Weiyong Li, Zihao Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Yan-Hua Li, Jing-Yao Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, L K Li, Ya-Ting Li, Wan Jie Li, Aimin Li, Dongbiao Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Demin Li, Haipeng Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yu Li, Minhui Li, Yvonne Li, Yiwei Li, Jiayuan Li, Zhichao Li, Xiangzhe Li, Minglun Li, Yige Li, Siguang Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chiyang Li, Chunlan Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Hailong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Zijing Li, Dengke Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, Dong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Ziyu Li, Panyuan Li, Gang Li, Mengxuan Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Huaiyuan Li, Dongnan Li, Rui-Fang Li, Jianzhong Li, Huaping Li, Ji-Liang Li, C H Li, Bohua Li, Pei-Ying Li, Bing Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shilun Li, Shi-Hong Li, Xinyu Li, John Zhong Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Yan-Yan Li, Liwei Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Zu-Ling Li, Jialing Li, Xin Li, Yunjiu Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Zhaoshui Li, Yali Li, Wenjing Li, Yu-Hui Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Zengyang Li, Kaiyuan Li, Mangmang Li, Chunyan Li, Runzhen Li, Xiaopeng Li, Xi-Hai Li, Anan Li, MengGe Li, Xuezhong Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Yanxi Li, Ning Li, Ruobing Li, Wan-Xin Li, Xia Li, Yongjing Li, Meitao Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Huixue Li, Boxuan Li, Jiqing Li, Hehua Li, Yucheng Li, Yongqi Li, Qingyuan Li, Fengqi Li, Zhigang Li, Yuqing Li, Guiyang Li, Guo-Qiang Li, Dujuan Li, Yanbo Li, Yuying Li, Shaofei Li, Sanqiang Li, Shaoguang Li, Hongyu Li, Min-Rui Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Jinxin Li, Ganggang Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Conglin Li, Mengxia Li, Jutang Li, Qingli Li, Yongxiang Li, Miao Li, Songlin Li, Qilong Li, Dijie Li, Chenyu Li, Yizhe Li, Ke Li, Yan Bing Li, Jiani Li, Lianjian Li, Zhen-Hua Li, Yiliang Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Mi Li, Youming Li, Dong-Yun Li, Qingrun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Fengfeng Li, Yumiao Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xingye Li, Xiangjun Li, Junxu Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Xuelian Li, Zhenming Li, Shu-Fen Li, Chunjun Li, Changyan Li, Yinghua Li, Mulin Jun Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Chaoying Li, Qiu Li, Juanjuan Li, Guangzhen Li, Xiangyan Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Zhenjia Li, Jifang Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Chunqiong Li, Huiliang Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yuqiu Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Xiang-Jun Li, Hongyi Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Gao-Fei Li, Minghao Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Chanjuan Li, Nan-Nan Li, Hongming Li, Lan-Lan Li, Shuang Li, Yanchuan Li, Lingyi Li, Wanting Li, Bai-Qiang Li, Gong-Hua Li, Zhengyu Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Weiguang Li, Mingyao Li, Guoqing Li, Ze Li, Xiaomeng Li, R H L Li, Yuanze Li, Yunqi Li, Yuandong Li, Guisen Li, Jinglin Li, Dongyang Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Yinggao Li, Dingshan Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Cheng-Tian Li, Jin-Jiang Li, Chang Li, Zhi-Xing Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Wenhui Li, Sichen Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Lixiang Li, Tian-wang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, Xiaoqiong Li, You Ran Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Xuri Li, Wenzhuo Li, Y Li, Deqiang Li, Caixia Li, Mingyue Li, Zipeng Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Qian Li, Yaochen Li, Tinghua Li, Wenyang Li, Bohao Li, Zhenfen Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Anqi Li, Bingsong Li, Xiaoju Li, Zhenyu Li, Xiaonan Li, Ting Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Yanchang Li, Xunjia Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, En-Min Li, Zong-Xue Li, Chunya Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Yuanheng Li, Qian-Qian Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Junxin Li, Yu-Sheng Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Yanyan Li, Shanglai Li, Shulin Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Xueying Li, Jun-Ru Li, JunBo Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Linxin Li, Haihua Li, Yu-Lin Li, Jen-Ming Li, Shujing Li, Tsai-Kun Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Shihong Li, Ya-Pei Li, Huifeng Li, Rulin Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Shuangshuang Li, Long Li, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Yangxue Li, Xiao-Qiang Li, Danni Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Zhenzhou Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Zesong Li, Yutong Li, Xiangpan Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, Nan Li, Gongda Li, Wei-Ping Li, Yajun Li, Yipeng Li, Mingxing Li, Nanjun Li, Xin-Yu Li, Chunyu Li, P H Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Ranran Li, Suping Li, Long Shan Li, Yanze Li, Jason Li, Xiao-Feng Li, W Li, Monica M Li, Fengjuan Li, Xianlun Li, Hainan Li, Qi Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Fei Li, Xionghui Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Kang Li, Peilong Li, Hongmei Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Quanpeng Li, Wenhong Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Wen-Ting Li, Guohua Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Yijie Li, Xue-Nan Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Ruiwen Li, Jiandong Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Yazhou Li, Shihao Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Shaodan Li, Meng-Hua Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Zheng Li, Ming-Hao Li, Donghe Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Menghua Li, Jingqi Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Xiao-Kang Li, Chong Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Xiaochen Li, Dongfang Li, Zizhuo Li, Zhuorong Li, X-H Li, Xianrui Li, Lan-Juan Li, Dong Sheng Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Bing-Heng Li, Xiaoman Li, Huanqiu Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Zhifei Li, Jinhui Li, Ying Li, Jianlin Li, Yanshu Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Cuiling Li, Changgui Li, Zhisheng Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Peihua Li, Kai-Wen Li, Suwen Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Qifang Li, Chang-Yan Li, Xiaohua Li, Vivian Li, Duanxiang Li, Xiaolin Li, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Mingjiang Li, Youwei Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Zongyu Li, Xinmin Li, Luquan Li, Jianyong Li, Guoxing Li, Shujie Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Minzhe Li, Wenfeng Li, Jiajing Li, Karen Li, Yanlin Li, Liao-Yuan Li, X Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Shibo Li, Jin Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, Hui Li, AnHai Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Lipeng Li, Qinghua Li, Qinqin Li, Leilei Li, Ranchang Li, Defu Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Shunhua Li, Yu-I Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Ziqi Li, Shen Li, Tianjiao Li, Gui-Rong Li, Yunfeng Li, Shufen Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Pinghua Li, Xu Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhankui Li, Zhi Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Jialin Li, Wenjian Li, He Li, Bichun Li, Xiong Bing Li, Hanqin Li, Qingjie Li, Wen Lan Li, Guoge Li, Han Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Chaojie Li, Caolong Li, Michelle Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Peipei Li, Guangdi Li, Tian-Yi Li, Xiaxia Li, Nien Li, Yuefeng Li, Zhihao Li, Peiyuan Li, Yao Li, Tiansen Li, Zheyun Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Ben-Shang Li, Hong-Lan Li, Mengqing Li, S L Li, Xionghao Li, Ming-Kai Li, Shunqing Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Yongle Li, Ruolin Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, Dong-Ling Li, M Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Yingxi Li, Caili Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Wenlong Li, Ya-Feng Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shugang Li, Shengli Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Yongxin Li, Ru Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Bingbing Li, Qinglin Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Guojun Li, Xuefei Li, Senlin Li, Hung Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Hongzhe K Li, Fulun Li, Xiao-Qiu Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Lihong Li, Chun Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Zhao Li, Kui Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, Xiaojiao Li, H Li, Dongliang Li, Yinzhen Li, Chenxiao Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Baichuan Li, Daoyuan Li, Wenqi Li, Haibo Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Qiao Li, Xueling Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Yihan Li, Chitao Li, Haiyang Li, Jiayu Li, Xiaobai Li, Junsheng Li, Pingping Li, Mingquan Li, Wen-Ya Li, Rongxia Li, Suran Li, Yunlun Li, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Hongmin Li, Caihong Li, Peng Peng Li, Yajing Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Yubin Li, Dazhi Li, Beixu Li, Yuhong Li, Guiyuan Li, Di Li, Fengqiao Li, Yanbing Li, Suk-Yee Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Minghua Li, Xiyue Li, Tianchang Li, Zhuoran Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Hongjuan Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Chunqing Li, Jiong Li, Lai K Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Xiujuan Li, Yongsheng Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Ding Li, Yuling Li, Wendeng Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Linyan Li, Shengze Li, Ming-Yang Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Congcong Li, Ji-Lin Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yinliang Li, Yuehua Li, Jinfeng Li, Wen Li, Shiheng Li, Jiangan Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Chia-Yang Li, Meng-Meng Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Haiyan Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Jiazhou Li, Sherly X Li, Zechuan Li, Zhijun Li, Ya-Ge Li, Wanling Li, Yinyan Li, Qijun Li, Guangli Li, Rujia Li, Zhiwei Li, Lixia Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Huijie Li, Zhongwen Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, Yaqiao Li, Jingui Li, Bingsheng Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Zhixiong Li, Chumei Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Xuyi Li, Binghua Li, Hanjun Li, Yunchu Li, Zhengyao Li, Jin-Qiu Li, Qihua Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, Yongjin Li, Shuangxiu Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Jianrong Li, Baoguo Li, Zhehui Li, Chenghao Li, Jiuyi Li, Chun-Xu Li, Luyao Li, Weike Li, Desheng Li, Chuanbao Li, Zhixuan Li, Long-Yan Li, Fuyu Li, Chuzhong Li, M D Li, Lingzhi Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Ling-Zhi Li, Hengtong Li, Yifan Li, Ya-Li Li, Xiao-Sa Li, Songyun Li, Xiaoran Li, Bolun Li, Kunlin Li, Linchuan Li, Jiachen Li, Haibin Li, Shu-Qi Li, Zehua Li, Huangbao Li, Guo-Chun Li, Xinli Li, Mengyuan Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Dehai Li, Wensheng Li, Jiannan Li, Qingshang Li, Guanbin Li, Hanbin Li, Zhiyi Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, Huanhuan Li, Xiaoyuan Li, Yanan Li, Zongfang Li, Yang Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, BoWen Li, Duoyun Li, Dongdong Li, Yimei Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Zhi-qiang Li, Shaojing Li, S S Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Tong Li, Lihua Li, Yilong Li, Xue-Lian Li, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Yuemei Li, Jingfeng Li, Yanli Li, Zhi-Yuan Li, Hai Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Mengjuan Li, Xiao-Hong Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Zhonglian Li, Baosheng Li, Mian Li, Yujun Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Yueting Li, Guojin Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Peining Li, Congjiao Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, Shaoliang Li, X-L Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Qun Li, Tianye Li, Cuiguang Li, Zhen Li, Yuan Li, Chunhong Li, F Li, Mengling Li, Kunpeng Li, Jia-Da Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Baoqing Li, Pu Li, Xinle Li, Xingli Li, Bingkun Li, Nien-Chi Li, Wuguo Li, Tiewei Li, Bing-Hui Li, Rong-Bing Li, Daniel Tian Li, Jingyong Li, Honggang Li, Rong Li, Wei-Yang Li, Shikang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Zixiao Li, Ming Xing Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Hong-Lian Li, Bei-Bei Li, Haitong Li, Xiumei Li, Melody M H Li, Ruibing Li, Yuli Li, Qingfang Li, Peibo Li, Qibing Li, Huanjun Li, Heng Li, Wende Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Xiao-Na Li, Tianyou Li, Jipeng Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Longxuan Li, Ka Wan Li, Huiyou Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing Li, Shunle Li, Shilin Li, Niu Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, Meiqing Li, Zhuanjian Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Youchen Li, Junhong Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Runbing Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Ji-Cheng Li, Jingyi Li, Yuxiang Li, Hao-Fei Li, Haolong Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Huijuan Li, Haiyu Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Guohui Li, Kainan Li, Yongzhe Li, Qingfeng Li, Xiaoyan Li, Tianyi Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Yuanchuang Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Hongliang Li, Qing-Chang Li, Shengbiao Li, Hong-Yan Li, Yue-Rui Li, Dalei Li, Ruidong Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Sijie Li, Dengxiong Li, Xiaomin Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Qiuyan Li, Zhouxiang Li, Tingguang Li, Yun-tian Li, Jianliang Li, Xiangyang Li, Guangzhao Li, Chunjie Li, Yixi Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Wenqun Li, Dongtao Li, Guixia Li, Fengyuan Li, Yinan Li, Aoxi Li, Chenxi Li, Zuo-Lin Li, Yuanjing Li, Zhengwei Li, Linqi Li, Bingjue Li, Xixi Li, Binghu Li, Yan-Chun Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Zhenguang Li, Xiaotian Li, Jia-Ru Li, Shuhui Li, Shu-Hong Li, Pei-Qin Li, Chun-Xiao Li, Shuyue Li, Mengying Li, Tongzheng Li, Fangyan Li, Quan-Zhong Li, Yihong Li, Dali Li, Duo Li, Yaxian Li, Zhiming Li, Xuemei Li, Yongting Li, Hongxia Li, Xueting Li, Zhenjun Li, Danyang Li, Tiandong Li, Ren Li, Lanfang Li, Hongye Li, Mingwei Li, Di-Jie Li, Bo Li, Jinliang Li, Wenxin Li, Qiji Li, W J Li, Zhipeng Li, Zhijia Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaobo Li, Xiaoting Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Weirong Li, Kun-Ping Li, Xiao-Yao Li, Weihua Li, Shangming Li, Yibo Li, Yaqi Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Yingjun Li, Xiufeng Li, Yanxin Li, Xiaohuan Li, Ying-Qin Li, Boya Li, Lamei Li, O Li, Fan Li, Jun Z Li, Suheng Li, Joyce Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Zhiqiang Li, Junru Li, Jiangchao Li, Hecheng Li, Haifeng Li, Changkai Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Rui-Jún Eveline Li, Xuanxuan Li, Bing-Mei Li, Yunman Li, Chaoqian Li, Shuhua Li, Yu-Cheng Li, Chunying Li, Yirun Li, Haomiao Li, Leipeng Li, Weiheng Li, Qianqian Li, Baizhou Li, Zhengliang Li, YiQing Li, Han-Ru Li, Sheng Li, Weijie Li, Wei-Qin Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, Chanyuan Li, Jianbin Li, Jianxiong Li, Ji Li, Huaying Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Zhongzhe Li, Xiang Li, Yumei Li, Xiang-Ping Li, Chaonan Li, Wenqiang Li, Yu-Chia Li, Pei-Shan Li, Zaibo Li, Heying Li, Shaomin Li, Guangming Li, Xuan-Ling Li, Yuxuan Li, Bingshan Li, Xiaoqiang Li, Jiahao Li, Hanxiao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Xiaomei Li, Ruijin Li, Pengjie Li
articles
William Stewart, Bin Hu, Fengqiao Li +6 more · 2025 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabete Show more
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabetes, cardiovascular disease, and certain cancers, all of which contribute to rising rates of preventable morbidity and mortality. Current approaches to obesity, including lifestyle modifications, and pharmacotherapy, often face limitations such as poor long-term adherence, side effects, and insufficient targeting of the complex, multifactorial pathways underlying the disease. Herein we report a dual, RNA-mediated combinatorial approach using targeting lipid nanoparticles (LNP) for the treatment of obesity. LNPs were co-encapsulated with mRNA encoding Interleukin-27 (mIL-27) to coactivate PGC-1α, PPARα, and UCP-1, thereby promoting adipocyte differentiation and enhancing adaptive thermogenesis within adipocytes, and siRNA targeting Dipeptidyl peptidase-4 (siDPP-4) to silence the primary inhibitory enzyme of GLP-1, and GIP within the incretin system, effectively restoring glucose homeostasis. Following post translational silencing of DPP-4 and upregulation of IL-27 in a diet-induced obesity (DIO) mice model, increased expression of thermogenic biomarkers PGC-1α, PPARα, and UCP-1 was observed at the molecular, protein, and tissue level, and insulin sensitivity was restored. Importantly, this gene modulation led to a 21.1 % reduction of bodyweight after treatment in the DIO model. These findings demonstrate for the first time a dual RNA-mediated combinatorial approach, leveraging liver targeting LNP delivery with synergistic effects from incretin system regulation and induction of adipocyte differentiation and thermogenesis after codelivery of siDPP-4 and mIL-27. This innovative strategy provides a promising alternate framework for addressing obesity and its associated metabolic dysfunction. Show less
no PDF DOI: 10.1016/j.jconrel.2025.113857
IL27
Xinxin Xiong, Danyang Wang, Liping Xu +7 more · 2025 · Journal for immunotherapy of cancer · added 2026-04-24
The highly organized structures of the immunological synapse (IS) are crucial for T cell activation. PDZ domains might be involved in the formation of the IS by serving as docking sites for protein in Show more
The highly organized structures of the immunological synapse (IS) are crucial for T cell activation. PDZ domains might be involved in the formation of the IS by serving as docking sites for protein interactions. In this study, we investigate the role of the PALS1-associated tight junction protein (PATJ), which contains 10 PDZ domains, in the formation of IS and its subsequent impact on T cell activation. To elucidate the function of PATJ, we generated murine models with conditional T cell-specific knockout of We observed a rapid increase in PATJ expression during T cell activation. Conditional knockout of Our study reveals an important role of PATJ in the formation of IS and provides an approach to improve the efficacy of CAR-T therapy. Show less
no PDF DOI: 10.1136/jitc-2024-010966
PATJ
Hui-Hui Liu, Sha Li, Jian-Jun Li · 2025 · Drugs · Springer · added 2026-04-24
Tafolecimab, a fully human monoclonal antibody targeting proprotein convertase subtilisin/kexin type 9 (PCSK9), represents a significant therapeutic advancement in the management of hypercholesterolem Show more
Tafolecimab, a fully human monoclonal antibody targeting proprotein convertase subtilisin/kexin type 9 (PCSK9), represents a significant therapeutic advancement in the management of hypercholesterolemia and has been approved for use in the Chinese population. Elevated low-density lipoprotein cholesterol (LDL-C) is a major risk factor for atherosclerotic cardiovascular disease, and traditional treatments often fall short due to challenges such as statin intolerance. Clinical trials have demonstrated that tafolecimab can effectively reduce LDL-C levels, achieving reductions of over 60% in many patients. It also improves other lipid parameters, including lipoprotein(a) [Lp(a)], non-high-density lipoprotein cholesterol (non-HDL-C), and apolipoprotein B (ApoB). It has a favorable safety profile, primarily characterized by mild to moderate adverse events. The long-acting formulation of tafolecimab enables less frequent dosing, thereby promoting compliance. As cardiovascular diseases continue to escalate globally, tafolecimab holds promise not only for patients in China but also for broader international applications, representing a critical advancement in the evolving landscape of lipid-lowering therapies. Show less
📄 PDF DOI: 10.1007/s40265-025-02167-z
APOB
Chenchen Wang, Xiaolei Song, Xiaowan Zhang +4 more · 2025 · Materials today. Bio · Elsevier · added 2026-04-24
Alzheimer's disease (AD) presents significant challenges due to its intricate pathogenic mechanisms and the limited efficacy of single-target therapies. In this study, we investigated the potential of Show more
Alzheimer's disease (AD) presents significant challenges due to its intricate pathogenic mechanisms and the limited efficacy of single-target therapies. In this study, we investigated the potential of chlorogenic acid (CHA), a multifunctional natural active compound, in AD therapy by developing a trifunctional nanocarrier (MC-H/R/si). CHA was effectively conjugated with iron-based metal-organic frameworks (MIL/Fe-100) through chelation interaction. The resulting nanocomplex (MC) not only enhances the bioavailability of CHA but also facilitates a synergistic antioxidant effect between CHA and MIL/Fe-100. Importantly, CHA can chelate Zn Show less
📄 PDF DOI: 10.1016/j.mtbio.2025.101841
BACE1
Yan Huang, Bo-Wen Yue, Yue-Qin Hu +5 more · 2025 · Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica · added 2026-04-24
Anxiety disorder is a highly prevalent psychological illness, and research has shown that obesity is a significant risk factor for its development. This study explored the ameliorative effects and mec Show more
Anxiety disorder is a highly prevalent psychological illness, and research has shown that obesity is a significant risk factor for its development. This study explored the ameliorative effects and mechanisms of saponins from Panax japonicus(SPJ) on anxiety disorder in mice fed a high-fat diet(HFD). Fifty C57BL/6J mice were randomly divided into normal control diet(NCD) group, HFD group, and low-and high-dose SPJ groups. At week 12, six mice from the HFD group were further divided into a control group(treated with DMSO) and an exogenous fibroblast growth factor 21(FGF21) group(administered rFGF21). The anxiety-like behavior of the mice was assessed using the open field test and elevated plus maze test. Hematoxylin-eosin(HE) staining and oil red O staining were performed to observe pathological changes in the liver and adipose tissue. Glucose metabolism was evaluated through the glucose tolerance test(GTT) and insulin tolerance test(ITT). Western blot analysis was performed to detect the expression of FGF21 and its downstream-related proteins in the liver and cortex, along with the expression of brain-derived neurotrophic factor(BDNF), disks large homolog 4(DLG4), and synaptophysin(SYP) in the cortex. Real-time quantitative fluorescent PCR(qPCR) was used to detect the expression of FGF21 and its receptor genes in the liver and cortex. Immunofluorescence staining was employed to examine the expression of neuronal activator c-Fos, FGF21, and the FGF21 co-receptor β-klotho in the cerebral cortex. The results showed that SPJ significantly improved the frequency of activity in the open arms of the elevated plus maze and the central area of the open field in HFD mice, up-regulated the expression of BDNF, DLG4, and SYP, and effectively alleviated anxiety-like behaviors in HFD mice. Compared with the NCD group, HFD mice exhibited up-regulated expression of FGF21 in the liver and cerebral cortex, while the expression of fibroblast growth factor receptor 1(FGFR1) and β-klotho was significantly down-regulated, suggesting that HFD mice exhibited FGF21 resistance. SPJ markedly up-regulated the β-klotho levels in HFD mice, reversing FGF21 resistance. Further comparison with exogenously administered FGF21 revealed that SPJ activates brain cortical regions in a consistent manner, and additionally, SPJ promotes the number and colocalization of c-Fos and β-klotho positive cells in the brain cortex. In summary, SPJ effectively alleviates anxiety-like behaviors in HFD mice. Its mechanism is associated with up-regulation of β-klotho expression in the brain, reversal of FGF21 resistance, and subsequent activation of neurons in the cerebral cortex and amygdala. Show less
no PDF DOI: 10.19540/j.cnki.cjcmm.20240906.401
FGFR1
Dongliang Shi, Liang Chen, Chenhao Li +5 more · 2025 · Discover oncology · Springer · added 2026-04-24
This study aims to identify oxidative stress-related genes (OSGs) in papillary thyroid carcinoma (PTC) and their common targets with resveratrol. Oxidative stress-related differentially expressed gene Show more
This study aims to identify oxidative stress-related genes (OSGs) in papillary thyroid carcinoma (PTC) and their common targets with resveratrol. Oxidative stress-related differentially expressed genes (OS-DEGs) were identified by intersecting datasets. The screened core genes were utilized to construct a prognostic model, and their prognostic value, along with their associations with clinical pathological characteristics and immune infiltration, was assessed. Subsequently, the core targets at the intersection of resveratrol and oxidative stress (OS) in PTC were screened, and their binding properties with resveratrol were analyzed. By conducting cross-database analysis, 38 OS-DEGs were identified, and 3 core genes APOE、CDKN2A、APOD were determined. The prognostic model based on core genes exhibited robust prognostic capabilities. The core genes displayed significant correlations with various clinical pathological parameters and a range of immune cells. Additionally, 13 targets of resveratrol for antioxidative stress were screened from databases. 6 high-performing targets, JUN, TGFB1, BCL2, CDKN1A, FOS, ICAM1, were revealed by topological analysis, all exhibiting binding energies lower than - 5.0 kcal/mol. Our study is the pioneering research to provide new insights into the diagnosis, prognosis, and treatment of PTC through the analysis of OSGs, presenting potential clinical implications. Furthermore, this research reveals the molecular functions associated with resveratrol and its pharmacological targets regulating OS in PTC for the first time. Show less
📄 PDF DOI: 10.1007/s12672-025-04170-y
APOE
Zi Wang, Yinan Wang, Ruosen Yuan +8 more · 2025 · Molecular biomedicine · BioMed Central · added 2026-04-24
Phenotypic switching of vascular smooth muscle cells (VSMCs) from a contractile toward a synthetic phenotype plays a critical role in atherosclerosis. Although the redox-sensitive sentrin/Small Ubiqui Show more
Phenotypic switching of vascular smooth muscle cells (VSMCs) from a contractile toward a synthetic phenotype plays a critical role in atherosclerosis. Although the redox-sensitive sentrin/Small Ubiquitin-like Modifier (SUMO)-specific protease 3 (SENP3), which preferentially deconjugates SUMO2/3, has been linked to oxidative stress, its role in atherosclerosis remains poorly defined. In this study, we demonstrate that SENP3 is significantly upregulated in human and mouse atherosclerotic lesions and in VSMCs exposed to pro-atherogenic stimuli. Using smooth muscle-specific Senp3 knockout mice (ApoE Show less
📄 PDF DOI: 10.1186/s43556-025-00365-5
APOE
Wan-Kun Gong, Xue Li, Le Wang +9 more · 2025 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Deep brain stimulation (DBS) has emerged as a prospective treatment for psychiatric disorders; for example, DBS targeting the nucleus accumbens (NAc) abolishes addictive behaviors. However, neither th Show more
Deep brain stimulation (DBS) has emerged as a prospective treatment for psychiatric disorders; for example, DBS targeting the nucleus accumbens (NAc) abolishes addictive behaviors. However, neither the core pathway nor the cellular mechanisms underlying these therapeutic effects are known. Here, morphine-induced conditioned place preference (CPP) in mice as an addiction model and NAc-DBS combined with adeno-associated virus gene delivery for activity-dependent tagging, transgenic and chemogenetic manipulation of recruited neuronal networks are used. It is reported that a cortical-accumbal pathway and local fibroblast growth factor 1 (FGF1) signaling in the medial prefrontal cortex (mPFC) are critical for NAc-DBS to be effective in altering morphine CPP. It is shown that NAc-DBS retrogradely activates mPFC neurons projecting to the NAc, and chemogenetic activation/inhibition of these DBS-activated neuron ensembles in the mPFC reproduces the NAc-DBS effects on CPP. Sustained therapeutic effects accompany reductions in local FGF1 binding to fibroblast growth factor receptor 1 (FGFR1) in these neurons. Additionally, overexpressing FGF1 in the mPFC-NAc pathway abolishes the therapeutic effects of NAc-DBS. These results demonstrate that the mPFC-NAc pathway forms a top-down motif to regulate the therapeutic effects of subcortical DBS on addiction. These results support the potential for addiction treatments involving FGF1 signaling and highlight the mPFC as a target for noninvasive brain stimulation. Show less
📄 PDF DOI: 10.1002/advs.202413370
FGFR1
Menglong Gao, Xingbang Liu, Zhen Fang +5 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Atherosclerosis (AS) remains a leading cause of cardiovascular morbidity and mortality, characterized by intricate interactions between immune dysregulation and lipid metabolism abnormalities-identify Show more
Atherosclerosis (AS) remains a leading cause of cardiovascular morbidity and mortality, characterized by intricate interactions between immune dysregulation and lipid metabolism abnormalities-identifying key mediators in its pathogenesis is critical for improving diagnostics and therapies. This study focuses on Transmembrane Protein 106A (TMEM106A) to clarify its role and clinical relevance in AS progression. Public transcriptomic datasets (GSE43292, GSE100927, GSE28829) were analyzed to assess TMEM106A expression and diagnostic value; single-cell RNA-seq data (GSE159677) defined its cellular localization. Immune infiltration (ssGSEA, Cibersort, xCell) and CellChat (intercellular communication) analyses explored its immune associations. TMEM106A was significantly upregulated in AS samples across datasets, with strong diagnostic efficacy (AUC 0.80-0.95). Single-cell analysis confirmed its specific enrichment in macrophages, with functional links to immune-related pathways. TMEM106A promoted macrophage infiltration, foam cell formation, oxidative stress, and inflammatory responses, while regulating PLCB2 in chemokine signaling; silencing TMEM106A alleviated these pro-atherosclerotic effects. TMEM106A contributes to AS progression by modulating macrophage-mediated immune responses and chemokine signaling, as validated in experimental models. These findings support its potential as a clinically relevant biomarker and promising therapeutic target for AS intervention. Show less
📄 PDF DOI: 10.3389/fimmu.2025.1681645
APOE
Ting He, Jinbo Zhao, Ling Hou +2 more · 2025 · International journal of general medicine · added 2026-04-24
Coronary heart disease (CHD) has a significant co-morbid association with chronic kidney disease (CKD), but identification tools for the risk of concomitant CKD in patients with CHD are still lacking. Show more
Coronary heart disease (CHD) has a significant co-morbid association with chronic kidney disease (CKD), but identification tools for the risk of concomitant CKD in patients with CHD are still lacking. The purpose of this research was to construct machine learning (ML) models for identifying undetected CKD in CHD patients. 1786 CHD patients undergoing coronary intervention were retrospectively included. Lasso regression and multifactor logistic regression were used to screen feature variables. Five ML models, ie, logistic regression (LR), support vector machine (SVM), random forest (RF), gradient boosting machine (GBM), and extreme gradient boosting (XGBoost), were constructed. Participants were divided into the training set and validation set in a 7:3 ratio. The evaluation metrics included the area under the curve, calibration curve, and decision curve. Totally, 1786 CHD patients were enrolled and split into training (70%) and validation (30%) sets. The prevalence of CKD was 21.8% (390/1786). Multivariate logistic regression analysis showed that men, advanced age, hypertension, diabetes mellitus, history of atrial fibrillation (AF), high Gensini, low hemoglobin, low plateletcrit (PCT), high triglycerides (TG), high lipoprotein(a) (Lp(a)), hyperkalemia, high uric acid to albumin ratio (UAR), high systemic inflammation response index (SIRI), low lymphocyte to monocyte ratio (LMR), and high apolipoprotein B to apolipoprotein A1 (ApoB/ApoA1) ratio were the key clinical and laboratory test indicators of CKD. The XGBoost model performed optimally in the validation set (AUC=0.909, 95% CI 0.881 -0.937). SHapley Additive explanation analysis identified UAR, hypertension, Gensini score, age, and SIRI as the top 5 key features. The XGBoost model constructed on routine clinical data was effective in identifying CKD risk in CHD patients, with UAR as a novel strong predictor. Decision curve analysis confirmed the clinical utility of the model, indicating that it may be used to guide decisions for enhanced monitoring and early intervention over a wide range of risk thresholds. Show less
📄 PDF DOI: 10.2147/IJGM.S558568
APOB
Yuwei Liu, Nan Zheng, Huan Chen +3 more · 2025 · Frontiers in psychology · Frontiers · added 2026-04-24
This study aims to identify and characterize daily activity accumulation patterns (bouts of physical activity and sedentary behavior) among adolescents and then to explore the associations between the Show more
This study aims to identify and characterize daily activity accumulation patterns (bouts of physical activity and sedentary behavior) among adolescents and then to explore the associations between these groups and depressive symptoms. A total of 521 adolescents aged 13-18 years from Wuhan and Changsha, China, were included. Bouts of physical activity (PA) and sedentary behavior (SED) were measured using accelerometers. The Center for Epidemiologic Studies Depression Scale was used to assess participants' depressive symptoms. Latent profile analysis was employed to identify distinct groups based on their activity patterns. Three distinct groups were identified: "Prolonged sitters" ( The synergistic effect of strategies to reduce total SED duration by limiting SED bouts to 30 min or less and increasing light physical activity (LPA) may also be effective in alleviating depressive symptoms in adolescents. Show less
📄 PDF DOI: 10.3389/fpsyg.2025.1683685
LPA
Yixuan Han, Suli Wang, Chenyang Li +8 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions Show more
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions can promote both protective and pathogenic outcomes. Although its cellular sources, receptor structure (IL-27Rα/gp130 complex), and involvement in regulating key immune cells (e.g., T-cell subsets, macrophages, neutrophils) and epithelial functions are established, the precise mechanisms underlying its paradoxical effects-balancing homeostasis with inflammation-remain incompletely resolved. This review synthesizes current understanding of IL-27 biology to clarify its multifaceted role. Crucial insights into these dual functions have emerged from preclinical models, including murine colitis (e.g., DSS-, TNBS-induced), enteric infection (e.g., Toxoplasma gondii, Citrobacter rodentium), and colorectal cancer models. These studies demonstrate that IL-27 critically orchestrates gut immunity, maintaining homeostasis through antimicrobial defense and barrier enhancement while suppressing immunopathology. Conversely, its dysregulation drives chronic inflammation and carcinogenesis. Clinically, IL-27 expression correlates with disease activity in inflammatory bowel disease (IBD), colorectal cancer (CRC), and infections, highlighting its biomarker potential. Consequently, targeting the IL-27 pathway presents promising therapeutic avenues: augmenting signaling may mitigate IBD hyperinflammation, while inhibition could bolster antitumor immunity or resolve infection-driven pathology. Future research must prioritize defining context-specific IL-27 functions, optimizing delivery strategies, and integrating IL-27 targeting with existing biologics to translate its immunomodulatory potential into novel therapies for intestinal diseases. Show less
no PDF DOI: 10.1016/j.intimp.2025.115755
IL27
Yufang Zuo, Xuan Liu, Yajun Pang +7 more · 2025 · Frontiers in oncology · Frontiers · added 2026-04-24
Hepatoid carcinoma of the ovary (HCO) is a highly uncommon and aggressive neoplasm originating from the surface epithelial cells of the ovary, characterized by hepatocyte-like differentiation. To date Show more
Hepatoid carcinoma of the ovary (HCO) is a highly uncommon and aggressive neoplasm originating from the surface epithelial cells of the ovary, characterized by hepatocyte-like differentiation. To date, most information on HCO is derived from case reports, with fewer than 50 documented cases globally. In this case report, we present a detailed account of the diagnosis, treatment, and prognosis of a patient diagnosed as having bilateral HCO, which is even rarer. Targeted next-generation sequencing revealed somatic mutations in PIK3C3 and TP53, with no BRCA1/2 alterations, and a molecular profile consistent with microsatellite stability and low tumor mutational burden. We also review the current literature to situate our findings within the broader context of existing knowledge. Given the rarity of bilateral HCO, our objective is to contribute to the existing body of knowledge by providing a comprehensive description of its clinical features, molecular characteristics, and treatment strategies. This effort may enhance understanding of this rare malignancy and offer insights to improve patient outcomes in clinical practice. Show less
no PDF DOI: 10.3389/fonc.2025.1631424
PIK3C3
Xiaolin Yu, Yujuan Yuan, Xiangyu Dong +5 more · 2025 · Annals of medicine · Taylor & Francis · added 2026-04-24
The association between low-density lipoprotein (LDL) cholesterol and increased mortality risk has been well-documented, yet apolipoprotein B (apoB) is regarded as a more precise risk indicator. Howev Show more
The association between low-density lipoprotein (LDL) cholesterol and increased mortality risk has been well-documented, yet apolipoprotein B (apoB) is regarded as a more precise risk indicator. However, a comprehensive analysis integrating both markers in relation to mortality risk remains unreported. This study aimed to investigate the relationship between LDL cholesterol levels and mortality across varying apoB concentrations within the general population. Data from 15,380 participants in the 2005-2016 National Health and Nutrition Examination Survey (NHANES) were utilized to construct Cox regression models and apply restricted cubic splines, assessing the association between LDL cholesterol and mortality across distinct apoB stratifications. The study cohort had a median (IQR) age of 46.0 (32.0, 60.0) years, with 7949 (51.8%) males. During a median follow-up of 101.0 months (IQR: 67-137), 1771 (8.8%) all-cause mortality events were observed; 443 (2.1%) deaths were attributed to cardiovascular diseases, while 109 (0.5%) resulted from cerebrovascular diseases. Low apoB and LDL-cholesterol levels were independently linked to an elevated risk of all-cause and cardiovascular mortality. Compared with participants having apoB <90 mg/dL and LDL-cholesterol levels between 100-129 mg/dL, those with LDL-cholesterol <70 mg/dL (HR, 1.81; 95%CI: 1.39-2.36) and 70-99 mg/dL (HR, 1.28; 95%CI: 1.01-1.62) demonstrated a higher risk of all-cause mortality. Additionally, reduced apoB levels contributed to an increased risk of cardiovascular mortality among individuals with low LDL-cholesterol levels. Low apoB and LDL-cholesterol levels were associated with heightened all-cause and cardiovascular mortality risk in the general population. Conversely, high apoB and low LDL-cholesterol levels did not correlate with increased mortality risk. Show less
📄 PDF DOI: 10.1080/07853890.2025.2529565
APOB
Jin Gong, Shaoqi Li, Xiaodong Han +7 more · 2025 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a neurodegenerative disorder characterized by pathogenesis involving numerous factors. Recent research has highlighted the significant role of autoimmunity in the Show more
BackgroundAlzheimer's disease (AD) is a neurodegenerative disorder characterized by pathogenesis involving numerous factors. Recent research has highlighted the significant role of autoimmunity in the initiation and progression of AD, with autoantibodies emerging as a pivotal area of investigation. Nevertheless, the influence of autoantibodies in AD is marked by substantial heterogeneity, they may either mitigate disease progression by clearing pathogenic protein aggregates or exacerbate the pathological process through mechanisms such as the activation of inflammatory responses or the induction of neuronal damage.ObjectiveThis review aims to synthesize the various roles of autoantibodies in AD, examine the factors that influence their functions, and assess their potential application in precision immunotherapy.MethodsPubMed and Web of Science databases were searched for English-language papers (2015-2025). Peer-reviewed human, animal and cell studies, systematic reviews and meta-analyses were screened independently by two reviewers.ResultsA total of 87 studies were selected for inclusion, spanning human, animal, and cellular research. The findings indicated that certain autoantibodies, such as those targeting amyloid-β, tau, or 4-hydroxynonenal, may confer neuroprotective effects. Conversely, other autoantibodies, including those against BACE1, aquaporin-4, or HuD, may exacerbate AD pathology. Importantly, some autoantibodies were found to exhibit dual roles, contingent upon their specific modifications or the context of the disease.ConclusionsAutoantibodies constitute a double-edged immune axis in AD. Their impact hinges on antigen class, disease stage, isotype affinity and glycosylation. Precision strategies-like CAAR-T cell therapy, glycosylation modulation, and affinity optimization-offer therapeutic promise but require further validation. Show less
no PDF DOI: 10.1177/13872877251350292
BACE1
Jin-Bao Wang, Shi-Lin Ding, Xiao-Song Liu +3 more · 2025 · Current molecular medicine · Bentham Science · added 2026-04-24
Colorectal cancer (CRC) is a malignant tumor. Slug has been found to display a key role in diversified cancers, but its relevant regulatory mechanisms in CRC development are not fully explored. Hence, Show more
Colorectal cancer (CRC) is a malignant tumor. Slug has been found to display a key role in diversified cancers, but its relevant regulatory mechanisms in CRC development are not fully explored. Hence, exploring the function and regulatory mechanisms of Slug is critical for the treatment of CRC. Protein expressions of Slug, N-cadherin, E-cadherin, Snail, HIF-1α, SUMO- 1, Drp1, Opa1, Mfn1/2, PGC-1α, NRF1, and TFAM were measured through western blot. To evaluate the protein expression of Slug and SUMO-1, an immunofluorescence assay was used. Cell migration ability was tested through transwell assay. The SUMOylation of Slug was examined through CO-IP assay. Slug displayed higher expression and facilitated tumor metastasis in CRC. In addition, hypoxia treatment was discovered to upregulate HIF-1α, Slug, and SUMO-1 levels, as well as induce Slug SUMOylation. Slug SUMOylation markedly affected mitochondrial biosynthesis, fusion, and mitogen-related protein expression levels to trigger mitochondrial stress. Additionally, the induced mitochondrial stress by hypoxia could be rescued by Slug inhibition and TAK-981 treatment. Our study expounded that hypoxia affects mitochondrial stress and facilitates tumor metastasis of CRC through Slug SUMOylation. Show less
no PDF DOI: 10.2174/0115665240271525231112121008
SNAI1
Zan Liu, Zitong Zhao, Longlong Xie +4 more · 2025 · Journal of translational medicine · BioMed Central · added 2026-04-24
Neuroblastoma (NB) is the most common solid tumor in children, characterized by high recurrence rates, drug resistance, and significant mortality. In this study, we analyzed the proteomic profiles of Show more
Neuroblastoma (NB) is the most common solid tumor in children, characterized by high recurrence rates, drug resistance, and significant mortality. In this study, we analyzed the proteomic profiles of NB tissue samples alongside other pathological categories, including ganglioneuroma (GN) and ganglioneuroblastoma (GNB). Using weighted gene co-expression network analysis (WGCNA), the core prognostic gene models associated with histopathology of NB were identified. Furthermore, by mapping our core prognostic gene models onto drug-perturbed transcriptome profiles from the L1000FWD and CMap databases, repurposing drug candidates were screened and validated for NB. Our proteomic analysis reveals that pathways associated with the cell cycle and DNA replication are significantly upregulated in NB, while oxidative phosphorylation, pyruvate metabolism, and the TCA cycle are notably downregulated compared to GNB and GN. By applying WGCNA, we identified a core prognostic gene model strongly associated with the unfavorable subtype and high MKI of NB and primarily related to chromatin binding and mRNA metabolic process. Protein-protein interaction network analysis identified 15 hub genes in this core prognostic module: SMARCA4, SMARCA5, SMARCC2, SMARCC1, PBRM1, BRD3, ARID1A, BRD2, ARID1B, KDM1A, TP53BP1, ALYREF, CBX1, SF3B1, and ADNP, which mainly related to chromatin remodeling. Notably, SMARCA4 and ALYREF are also high-risk genes of mortality and validated as potential prognostic biomarkers for NB. Through repurposing drugs screening, mocetinostat and clofarabine were validated as effective treatments in two NB cell lines. Mocetinostat and clofarabine offer valuable insights for the development of novel targeted therapies in neuroblastoma. Show less
📄 PDF DOI: 10.1186/s12967-025-06298-5
CBX1
Zhimin Wu, Shuo Yan, Huimin Zhang +6 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-24
Cadmium (Cd) contamination in plants and soil poses significant risks to livestock, particularly sheep. Cd exposure often leads to severe gastrointestinal diseases in sheep that are difficult to treat Show more
Cadmium (Cd) contamination in plants and soil poses significant risks to livestock, particularly sheep. Cd exposure often leads to severe gastrointestinal diseases in sheep that are difficult to treat. Milk-derived exosomes, particularly those from sheep milk (SM-Exo), have shown potential in treating gastrointestinal disorders, though their efficacy in Cd-induced colitis remains unclear. In this study, we investigated the therapeutic potential of SM-Exo in a Cd-induced colitis model. Hu sheep were exposed to Cd, and their fecal microbiota were collected to prepare bacterial solutions for fecal microbiota transplantation (FMT) in mice. The changes in gut microbiota and gene expression were analyzed through microbiome and transcriptomics. Our results showed that prior to treatment, harmful bacteria (e.g., Show less
📄 PDF DOI: 10.3390/ijms26073299
ADCY3
Andong Wu, Jiayi Dong, Jiankun Liu +10 more · 2025 · Nutrients · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/nu18010021
APOE
Guile Zhao, Yike Li, Hongling Li +7 more · 2025 · Computational and structural biotechnology journal · Elsevier · added 2026-04-24
The malignant transformation of odontogenic keratocysts (OKC) into cancerous odontogenic keratocysts (COKC) is exceedingly rare, and its mechanisms remain poorly understood. Studies exploring the cell Show more
The malignant transformation of odontogenic keratocysts (OKC) into cancerous odontogenic keratocysts (COKC) is exceedingly rare, and its mechanisms remain poorly understood. Studies exploring the cellular heterogeneity, molecular pathways, and clinical features of COKC are limited. In this study, we performed single-cell RNA sequencing (scRNA-seq) on three COKC samples and integrated the data with a public OKC dataset, identifying 22,509 single cells. Two COKC-specific epithelial subpopulations, Basal-C0-EXT1 and Basal-C3-HIST1H3B, were identified. These subpopulations exhibited enhanced stemness and invasive potential, respectively, suggesting their roles as key drivers of OKC carcinogenesis. Fibroblasts underwent phenotypic transitions, particularly from inflammation-associated fibroblasts (IFBs) to myofibroblasts (MFBs). Similarly, macrophage phenotypic transformation may also play a role in OKC carcinogenesis. Clinical observations of severe lesion-area pain in COKC patients suggest potential neuroinvasiveness, Supported by single-cell transcriptomic data, imaging findings, and histopathological evidence. A review of clinical data revealed that none of the COKC patients exhibited cervical lymph node metastasis. Single-cell transcriptomics suggests that this phenomenon may be associated with an active immune microenvironment in COKC, reduced epithelial-mesenchymal transition (EMT) activity, lower VEGFC expression, and upregulated MAST4 expression as a potential regulator of lymphatic metastasis. In conclusion, COKC exhibits distinct molecular, cellular, and clinical characteristics compared to OKC, featuring potent neuroinvasiveness and low lymph node metastatic potential. These findings provide important insights into the mechanisms underlying COKC development and may guide novel diagnostic and therapeutic strategies. Show less
📄 PDF DOI: 10.1016/j.csbj.2025.03.027
EXT1
I-Weng Yen, Szu-Chi Chen, Chia-Hung Lin +9 more · 2025 · Journal of diabetes investigation · Blackwell Publishing · added 2026-04-24
The early detection of high-risk individuals is crucial to delay and reduce the incidence of type 2 diabetes. In this study, we aimed to explore the performance of a novel subgroup-specific biomarker Show more
The early detection of high-risk individuals is crucial to delay and reduce the incidence of type 2 diabetes. In this study, we aimed to explore the performance of a novel subgroup-specific biomarker strategy in the prediction of incident diabetes. In the Taiwan Lifestyle Cohort Study, adult subjects without diabetes were included and followed for the incidence of diabetes in 2006-2019. The biomarkers measured included blood secretogranin III (SCG3), vascular adhesion protein-1 (VAP-1), fibrinogen-like protein 1 (FGL1), angiopoietin-like protein 6 (ANGPTL6), and angiopoietin-like protein 4 (ANGPTL4). Among the 1,287 subjects, 12.2% developed diabetes during a 6 year follow-up. Blood VAP-1 was significantly associated with incident diabetes in the overall population (HR = 0.724, P < 0.05), participants under 65 years old (HR = 0.685, P < 0.05), those with a BMI of ≥24 kg/m Gender- and BMI-specific biomarker strategy can improve the prediction of incident diabetes. A subgroup-specific biomarker strategy is a novel approach in the prediction of incident diabetes. Show less
📄 PDF DOI: 10.1111/jdi.14311
ANGPTL4
Hongwei Wang, Yu-Nan Zhu, Sifan Zhang +5 more · 2025 · Molecular medicine (Cambridge, Mass.) · BioMed Central · added 2026-04-24
The remodeling of the extracellular matrix (ECM) plays a pivotal role in tumor progression and drug resistance. However, the compositional patterns of ECM in breast cancer and their underlying biologi Show more
The remodeling of the extracellular matrix (ECM) plays a pivotal role in tumor progression and drug resistance. However, the compositional patterns of ECM in breast cancer and their underlying biological functions remain elusive. Transcriptome and genome data of breast cancer patients from TCGA database was downloaded. Patients were classified into different clusters by using non-negative matrix factorization (NMF) based on signatures of ECM components and regulators. Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify core genes related to ECM clusters. Additional 10 independent public cohorts including Metabric, SCAN_B, GSE12276, GSE16446, GSE19615, GSE20685, GSE21653, GSE58644, GSE58812, and GSE88770 were collected to construct Training or Testing cohort, following machine learning calculating ECM correlated index (ECI) for survival analysis. Pathway enrichment and correlation analysis were used to explore the relationship among ECM clusters, ECI and TME. Single-cell transcriptome data from GSE161529 was processed for uncovering the differences among ECM clusters. Using NMF, we identified three ECM clusters in the TCGA database: C1 (Neuron), C2 (ECM), and C3 (Immune). Subsequently, WGCNA was employed to pinpoint cluster-specific genes and develop a prognostic model. This model demonstrated robust predictive power for breast cancer patient survival in both the Training cohort (n = 5,392, AUC = 0.861) and the Testing cohort (n = 1,344, AUC = 0.711). Upon analyzing the tumor microenvironment (TME), we discovered that fibroblasts and B cell lineage were the core cell types associated with the ECM cluster phenotypes. Single-cell RNA sequencing data further revealed that angiopoietin like 4 (ANGPTL4) We identified distinct ECM clusters in breast cancer patients, irrespective of molecular subtypes. Additionally, we constructed an effective prognostic model based on these ECM clusters and recognized ANGPTL4 Show less
📄 PDF DOI: 10.1186/s10020-025-01237-y
ANGPTL4
Xiaoyan Qin, Dingheng Hu, Qi Li +6 more · 2025 · Molecular medicine (Cambridge, Mass.) · BioMed Central · added 2026-04-24
Liver X receptor α (LXRα) plays an important role in inflammatory immune response induced by hepatic ischemia-reperfusion injury (IRI) and acute rejection (AR). Macrophage M1-polarization play an impo Show more
Liver X receptor α (LXRα) plays an important role in inflammatory immune response induced by hepatic ischemia-reperfusion injury (IRI) and acute rejection (AR). Macrophage M1-polarization play an important role in the occurrence and development of AR. Although the activation of LXR has anti-inflammatory effects, the role of LXRα in AR after liver transplantation (LT) has not been elucidated. We aimed to investigate LXRα anti-inflammatory and macrophage polarization regulation effects and mechanisms in acute rejection rat models. LXRα anti-inflammatory and liver function protective effects was initially measured in primary Kupffer cells and LT rat models. Subsequently, a flow cytometry assay was used to detect the regulation effect of LXRα in macrophage polarization. HE staining, TUNEL and ELISA were used to evaluate the co-treatment effects of TO901317 and tacrolimus on hepatic apoptosis and liver acute rejection after LT. In this study, we found that LPS can inhibit the expression of LXRα and activate MAPK pathway and PI3K/AKT/mTOR. We also found that LXRα agonist (TO901317) could improve liver function and rat survival after LT by activating the level of ABCA1 and inhibiting MAPK. TO901317 could inhibit macrophage M1-polarization by activating PI3K/AKT/mTOR signal pathway to improve the liver lesion of AR rats after liver transplantation. Additionally, co-treatment with TO901317 and tacrolimus more effectively alleviated the damaging effects of AR following LT than either drug alone. Our results suggest that the activation of LXRα can improve liver function and rat survival after LT by regulate ABCA1/MAPK and PI3K/AKT/mTOR signaling axis in macrophages. Show less
no PDF DOI: 10.1186/s10020-025-01153-1
NR1H3
Jing-Rui Yi, Bang Zeng, Bing Liu +3 more · 2025 · Journal of stomatology, oral and maxillofacial surgery · Elsevier · added 2026-04-24
This study aimed to explore active ingredients in Scrophularia ningpoensis Hemsl (SNH) with potential effects on ameloblastoma (AM) using network pharmacological approach, bioinformatic gene analysis Show more
This study aimed to explore active ingredients in Scrophularia ningpoensis Hemsl (SNH) with potential effects on ameloblastoma (AM) using network pharmacological approach, bioinformatic gene analysis and in vitro cell experiments. The active ingredients and their corresponding targets of SNH were identified from the Traditional Chinese Medicine Systems Pharmacology (TCMSP), as well as SwissTargetPrediction. Disease targets of AM were selected from GeneCards and DisGeNET databases. Differentially expressed genes (DEGs) of AM were identified, and Gene Ontology enrichment analysis were performed using the Gene Expression Omnibus (GEO) dataset GSE38494 through bioinformatic analysis. The STRING database platform was utilized to generate a protein-protein interaction network diagram, followed by hub gene analysis using Cytoscape software. AutoDock Vina software was used to perform molecular docking verification of the effects of the active ingredients on potential core targets. Additionally, in vitro experiments including quantitative reverse transcription polymerase chain reaction (RT-qPCR), EdU assay and CCK-8 cell proliferation assay were conducted using AM cell line AM-1 after SNH extract treatment. The study revealed that SNH contains eight active ingredients and a total of 388 drug targets, including 10 potential core targets in AM. Hub genes identified in the analysis were CCNA2, HRAS, PTGS2, PIK3CB, FGFR1, CASP3, MMP1, SLC2A1, MMP14, and MME. Molecular docking analysis demonstrated strong binding activity between key active ingredients (β-sitosterol, scropolioside A_qt, scropolioside D, scropolioside D_qt, and sugiol) and target genes (CASP3, FGFR1, HRAS, PTGS2, and SLC2A1). Gene Ontology enrichment analysis indicated that SNH exerts its effects on AM through pathways related to cellular response to abiotic stimulus, cellular response to hypoxia, and exopeptidase activity. Immunohistochemical analysis using tissue microarray showed higher expression of MMP14 and PTGS2 in AM compared to dentigerous cyst. Using AM-1 cell line, RT-qPCR results confirmed that SNH suppressed the expression of MMP14 and PTGS2 at mRNA level. Additionally, the EdUassay and CCK-8 assay indicated the inhibitory effect of SNH on the proliferation of AM-1 cells. These findings showed that SNH could suppress expression of MMP14 and PTGS2 and restrain the proliferation of AM. Our study highlights the potential of SNH as a promising therapeutic candidate for AM, which may provide more options for clinical treatment. Show less
no PDF DOI: 10.1016/j.jormas.2024.102146
FGFR1
Liuzheng Li, Tong Wu, Guocha Gong +5 more · 2025 · BMC cancer · BioMed Central · added 2026-04-24
NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains unchara Show more
NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains uncharacterized. The differential expression of NDRG1 and its prognostic value were analyzed in HCC using data from TCGA and GEO. Ferroptosis in HepG2 and Huh7 cells was assessed using flow cytometry, transmission electron microscopy, and propidium iodide staining following NDRG1 knockdown using shRNA. RNA-seq was performed to characterize the mRNA expression profiles in HepG2 cells, identifying differentially expressed mRNAs (DE-mRNAs) and NDRG1-related hub genes. NDRG1 was overexpressed in multiple malignant tumors, including HCC, and was associated with a significantly poor prognosis in HCC patients. A nomogram model integrating NDRG1 expression and clinical parameters demonstrated robust prognostic accuracy. NDRG1 knockdown potentiated erastin-induced alterations in Fe NDRG1 exhibits strong predictive value for HCC, and accelerates tumor progression by suppressing ferroptosis. Show less
📄 PDF DOI: 10.1186/s12885-025-13954-y
ANGPTL4
Huixia Wang, Wenli Li, Yijia Tao +3 more · 2025 · BMC veterinary research · BioMed Central · added 2026-04-24
Neonatal piglets possess lysosome-rich foetal-type enterocytes that facilitate uptake and intracellular processing of maternally provided nutrients. However, the role of lysosomes in early-life growth Show more
Neonatal piglets possess lysosome-rich foetal-type enterocytes that facilitate uptake and intracellular processing of maternally provided nutrients. However, the role of lysosomes in early-life growth and intestinal maturation remains unclear. Therefore, this study was conducted to determine the role of lysosomes in the development of neonatal intestine in piglets. For 1-day-old neonatal piglets, a total of 12 piglets (Duroc × (Landrace × Large Yorkshire)) were divided into 2 groups using a split-litter design. To initiate malfunction in lysosomes, newborn piglets were subjected to oral gavage with imipramine (25 mg/kg bodyweight) once daily for 7 days. For 21-day-old piglets, a total of 12 piglets were divided into two groups, and each group received the same treatment as described above. Piglets receiving imipramine demonstrated significantly stunted growth at 7 days of age, but not at 27 days. By postnatal day 7, the foetal-type enterocytes of untreated piglets were restricted in the mid to upper ileal villus and contained several large lysosomal vacuoles. In contrast, marked changes in ileal morphological and histological structure were observed following imipramine treatment, as evidenced by reduced degree of vacuolation, decreased lysosomal count, as well as pronounced mitochondrial swelling; however, no vacuolated enterocytes were found in 27-day-old piglets. Furthermore, signaling pathways associated with lipid transport and metabolism were significantly enriched, and the related hub genes were identified by bioinformatic analysis after imipramine administration. These findings were further confirmed by biochemical analysis demonstrating that serum levels of total cholesterol (TC) and apolipoprotein A1 (ApoA1) were significantly increased while serum ApoB was decreased in 7-day-old piglets receiving imipramine treatment. Additionally, there was an opposite trend in levels of ApoA1and ApoB in ileal mucosa compared to serum. These results demonstrate that lysosome dysfunction induced by imipramine resulted in significant growth retardation, pronounced morphological and ultrastructural alterations in ileal enterocytes, along with disrupted lipid metabolism in early postnatal piglets; however, no such effect was observed in 27-day-old piglets. These findings enhance understanding of lysosomal functions and intestinal maturation in neonatal piglets. Show less
📄 PDF DOI: 10.1186/s12917-025-05063-6
APOB
Zhixian Lin, Jinmeng Wang, Yixin Ma +4 more · 2025 · Cancers · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/cancers17142402
ANGPTL4
Jimmy H Mo, Chao Zhai, Kwangsek Jung +4 more · 2025 · iScience · Elsevier · added 2026-04-24
Vitellogenin is thought to share a common ancestor with human apolipoprotein B (ApoB) for systemic lipid transport. In
📄 PDF DOI: 10.1016/j.isci.2025.111860
APOB
Xiang Lian, Xiaoyan Li, Kexin Wang +3 more · 2025 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
To investigate the gene detection results of 2 patients with familial hypercholesterolemia (FH) caused by complex heterozygous variation, and to clarify the relationship between clinical manifestation Show more
To investigate the gene detection results of 2 patients with familial hypercholesterolemia (FH) caused by complex heterozygous variation, and to clarify the relationship between clinical manifestations and gene variation. Two patients (patient 1 and 2) with FH who visited Beijing Anzhen Hospital Affiliated to Capital Medical University in 2018 were selected as research subjects. A retrospective study method was used to collect clinical and family history data of the two patients. And 2 mL of peripheral venous blood from each of the two patients was collected, and genomic DNA extraction was performed on the blood samples. Sanger sequencing was used to validate the variant sites of the two patients detected by whole-exome sequencing (WES). Pathogenicity of variants was classified based on the American College of Medical Genetics and Genomics (ACMG) Standards and Guidelines for the Classification of Genetic Variants (hereinafter referred to as the "ACMG Guidelines"), and the impact of variant was analyzed using multiple bioinformatics tools including SIFT, PolyPhen-2, and SWISS-MODEL. This study has been approved by Beijing Anzhen Hospital Affiliated to Capital Medical University (Ethics No. 2024215X). Patient 1 initially presented with early-onset coronary heart disease, with initial lipid levels of serum total cholesterol (TC) 9.86 mmol/L (normal reference value: 3.10~5.20 mmol/L) and serum low-density lipoprotein cholesterol (LDL-C) 8.37 mmol/L (normal reference value: 1.27~3.12 mmol/L) on admission. Patient 1 initially underwent treatment with rosuvastatin combined with ezetimibe for one month, but the lipid-lowering effect was not significant. The lipid-lowering therapy was then adjusted to atorvastatin combined with ezetimibe and probucol. After one year of treatment, the patient developed paroxysmal chest pain symptoms. A follow-up lipid profile showed a serum TC level of 4.50 mmol/L and a LDL-C level of 3.55 mmol/L. The lipid-lowering regimen was continued, and the serum LDL-C levels were maintained between 2.65 and 3.66 mmol/L. Patient 2 was found to have an abnormally high blood lipid level and carotid artery hardening during physical examination, with an initial blood lipid level of serum TC 11.82 mmol/L and serum LDL-C 9.63 mmol/L. After receiving rosuvastatain therapy, the lipid-lowering effect was significant. WES revealed that patient 1 carried the heterozygous variants c.1871₁₈₇₃del(p.Ile624del) and c.1747C>T (p.His583Tyr) in the LDLR gene (NM₀₀₀₅₂₇.4), while patient 2 carried the heterozygous variants c.1747C>T (p.His583Tyr) in the LDLR gene and c.6936₆₉₃₇inv (p.Ile2313Val) in the APOB gene (NM₀₀₀₃₈₄₎. According to the ACMG Guidelines, the LDLR gene c.1747C>T (p.His583Tyr) was classified as a pathogenic variant (PS3+PM1+PM2_supporting+PM5+PP2+PP3), and c.1871₁₈₇₃del (p.Ile624del) was classified as a pathogenic variant (PS3+PS4+PM2_supporting+PM1+PM4); the APOB gene c.6936₆₉₃₇inv (p.Ile2313Val) was classified as a variant of uncertain clinical significance (PM2_supporting BP4). Patients 1 and 2 in this study were patients with complex heterozygous variant FH, and their genotypic differences may be related to the differences in clinical serum LDL-C levels and the efficacy of hypolipidemic agents. Show less
no PDF DOI: 10.3760/cma.j.cn511374-20241026-00562
APOB
Chunbin Sun, Shuang Sha, Yubang Shan +5 more · 2025 · International journal of nanomedicine · added 2026-04-24
Alzheimer's disease (AD) is a common progressive and irreversible neurodegenerative disease. AD accounts for 60%-70% of all dementia cases, ranking as the seventh leading cause of death globally. Huma Show more
Alzheimer's disease (AD) is a common progressive and irreversible neurodegenerative disease. AD accounts for 60%-70% of all dementia cases, ranking as the seventh leading cause of death globally. Human umbilical cord mesenchymal stem cells (hUC-MSCs) characterized by their abundant availability and low immunogenicity, have demonstrated significant therapeutic potential for AD in both preclinical studies and clinical trials. The use of exosomes can help mitigate the issues associated with cellular therapies. However, the clinical application of hUC-MSCs remains challenging due to their inability to effectively traverse the blood-brain barrier (BBB) and reach pathological sites. Therapeutic strategies utilizing exosomes derived from hUC-MSCs (Exos) have emerged as an effective approach for AD intervention. Here, we used ultrasound to construct multifunctional Exos (MsEVB@R/siRNA) for AD therapy. We obtained small interfering RNA for β-site precursor protein lyase-1 (BACE1 siRNA) and berberine for co-delivery into the brain. Berberine, a classical anti-inflammatory agent, effectively alleviates neuroinflammation in AD pathogenesis. BACE1 serves as the pivotal cleavage enzyme in amyloid β-protein (Aβ) formation, where silencing BACE1 synthesis through BACE1 siRNA significantly reduces Aβ production. In a 5xFAD mouse model, Exos selectively targeted microglial and neuronal cells after nasal delivery under the action of neural cell-targeting peptide rabies virus glycoprotein 29 (RVG29). BACE1 siRNA and berberine (BBR) loading enhanced the effectiveness of Exos in improving cognitive function, promoting nerve repair and regeneration, reducing inflammatory cytokine expression, and suppressing glial responses. BACE1 siRNA release was confirmed to reduce BACE1 expression and Aβ deposition. Concurrently, berberine effectively suppressed the release of inflammatory factors, thereby reducing neuroinflammation. In conclusion, the nasal delivery of engineered exosomes is a potentially effective method for treating AD. Show less
📄 PDF DOI: 10.2147/IJN.S506793
BACE1