👤 Y Li

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Also published as: Xiaofeng Li, Jingwen Li, Jiajia Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Wanxin Li, Jianyu 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, Qingchao Li, Yan-Xue Li, Xikun Li, Enhong Li, Hong-Tao Li, Guobin Li, Xiangnan Li, Yong-Jun Li, Ziming Li, Rongqing Li, Hang Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Jiajie Li, Zhao-Yang 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, Ye Li, Guanglve Li, Z Li, Zili Li, Xinmei Li, Yihao Li, Liling Li, Qing Run 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, Yulong Li, Dongmei Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Jiayang Li, Yawei 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, You Li, Dongfeng Li, Xuelin Li, Fa-Hui Li, Caiyu Li, Xueyang Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen 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, Dejun Li, Changwei Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Jinlin Li, Xiaoqing Li, Linke Li, C Y Li, Shuaicheng Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Zhongxuan Li, Xuewen 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, Baohong Li, Hujie Li, Yue-Ming Li, Shuyuan Li, L Li, Zhaohan 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, Ming Li, Kangli 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, Chuan-Hai Li, Lingxi Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Zhongyu Li, Qin Li, Zhen-Yu Li, Deyu Li, Hansen Li, Annie 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, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Jun-Jie Li, Ruonan 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, Ya-Jun Li, Xue Cheng Li, Wenyong Li, Ding-Biao Li, Tianjun Li, Desen Li, Yansong Li, Xiying 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, Jing-Yao Li, Yan-Hua 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, Xiuqi Li, Peiyun Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Yuancong Li, Da Li, YiPing Li, Yuxiu Li, Tian Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Changhong Li, Ze-An Li, Jianmin Li, Yu Li, Minhui Li, Yvonne Li, Yiwei Li, Jiayuan Li, Xiangzhe Li, Zhichao Li, Minglun Li, Siguang Li, Yige 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, Si Li, Xiangyun Li, Jing Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Dengke Li, Zijing 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, Gang Li, Mengxuan Li, Panyuan Li, Ziyu Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Dongnan Li, Huaiyuan Li, Rui-Fang Li, Jianzhong Li, Huaping Li, Ji-Liang Li, C H Li, Bohua Li, Bing Li, Pei-Ying Li, Huihuang Li, Yunmin Li, Shaobin Li, Yanying Li, Gui Lin Li, Ronald Li, Chenrui Li, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, Song-Chao Li, Lujiao Li, Chenghong Li, Dengfeng Li, Baohua Li, Nianfu Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Zhimei Li, Jiao 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, Chengjian Li, Chengyun 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, Jialing Li, Zu-Ling Li, Xin Li, Yunjiu Li, Dayong Li, Zonghong 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, Yali Li, Zhaoshui 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, Ning Li, Ruobing Li, Yanxi Li, Wan-Xin Li, Yongjing Li, Xia Li, Meitao Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Jiqing Li, Huixue Li, Hehua Li, Yucheng Li, Qingyuan Li, Yongqi 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, Jutang Li, Mengxia Li, Conglin 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, Jiexi Li, Qinggang Li, Huixia Li, Kecheng Li, Xiangjun Li, Xingye Li, Junxu Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Chenxuan Li, Xiao-Dong 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, Mulin Jun Li, Yinghua Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Chaoying Li, Juanjuan Li, Qiu Li, Guangzhen Li, Xiangyan Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Jifang Li, Zhenjia 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, Weining Li, Wenxi 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, Xiancheng Li, Man-Zhi Li, Yanmei Li, De-Jun Li, Zhihua Li, Keqing Li, Junxian Li, Shuwen Li, Minqi Li, Danxi Li, Saijuan Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei 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, Lingyi Li, Yanchuan 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, Dongyang Li, Jinglin Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Dingshan Li, Yinggao Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Jin-Jiang Li, Cheng-Tian Li, Chang Li, Zhi-Xing Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong Li, Jiwei Li, Chun-Quan Li, Yongzhen Li, Weifeng Li, Tao Li, Wenhui Li, Sichen Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Tian-wang Li, Yuchan Li, Lixiang 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, Deqiang Li, Caixia Li, Zipeng Li, Mingyue Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yanfeng Li, Yaqin Li, Yu-He Li, Shasha Li, Xi Li, S-C 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, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Bingsong Li, Anqi Li, Zhenyu Li, Xiaoju Li, Ting Li, Xiaonan Li, Xiang-Yu Li, Duan Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Xunjia Li, Yanchang 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, Qian-Qian Li, Yuanheng 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, Shanglai Li, Yanyan Li, Shulin Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, JunBo Li, Xueying Li, Jun-Ru 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, Yi-Wen Li, Xiyun Li, Huifeng Li, Rulin Li, Shihong Li, Ya-Pei Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Min-Dian Li, Wenjia Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Xiao-Qiang Li, Yangxue 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, Jiafei Li, Changhui 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, Shu-Fang Li, Huang 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, Yajun Li, Wei-Ping 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, Monica M Li, Fengjuan Li, W Li, Xianlun Li, Qi Li, Hainan Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Fei Li, Xionghui Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Hongmei Li, Kang Li, Peilong Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Wenhong Li, Quanpeng 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, Guohua Li, Wen-Ting Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Yijie Li, Xue-Nan Li, Weiguo Li, Xiaoying Li, Shengsheng Li, Suwei 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, Peihong Li, Lang 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, Yueguo Li, Mo 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, Chong Li, Xiao-Kang Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zizhuo Li, Zhuorong Li, X-H Li, Lan-Juan Li, Dong Sheng Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng 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, Jinhui Li, Zhifei Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Guiying Li, Longyu Li, Jinku Li, X B Li, Changgui Li, Zhisheng Li, Cuiling 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, Chang-Yan Li, Xiaohua Li, Qifang Li, Vivian Li, Duanxiang Li, Xiaolin Li, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Youwei Li, Mingjiang Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Zongyu 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, Jin Li, Shibo 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, Qinghua Li, Qinqin Li, Lipeng 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, Jian'an Li, Guangqiang 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, Shen Li, Tianjiao Li, Ziqi Li, Shufen Li, Gui-Rong Li, Yunfeng Li, Yueqi Li, Yunpeng 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, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui 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, Michelle Li, Caolong 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, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang Li, S L Li, Ming-Kai Li, Shunqing Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yantao Li, Yanwei 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, Yong-Liang Li, Muzi 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, Ai-Qin Li, Si-Wei Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Wei-Dong Li, Guannan 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, Ru Li, Yongxin 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, H J Li, Zhenyan 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, Hung Li, Senlin 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, Yi-Yang Li, Zhihui 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, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Zhong Li, Shuang-Ling Li, Xiao-Long Li, Xiaofei Li, Hung-Yuan Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao 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, Haibo Li, Wenqi Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Yihan Li, Chitao Li, Haiyang Li, Xiaobai Li, Junsheng Li, Jiayu Li, Pingping Li, Mingquan Li, Wen-Ya Li, Suran Li, Yunlun Li, Rongxia Li, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Jiafang Li, Shanhang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Jisen Li, Yikang Li, Si-Yuan Li, Hongmin Li, Caihong Li, Yajing Li, Peng Peng Li, Kenli Li, Guanglu 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, Yubin Li, Chenglan Li, Dazhi Li, Yuhong Li, Beixu Li, Fengqiao Li, Di Li, Guiyuan Li, Suk-Yee Li, Yanbing Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Minghua Li, Jun 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, Wen-Chao Li, Dan-Ni 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, Linyan Li, Shengze Li, Ming-Yang Li, Yanjun 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, Ji-Lin Li, Congcong Li, Yushan Li, Ping'an Li, Juan Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Wen Li, Jinfeng Li, Shiheng Li, Yu-Kun Li, Jiangan Li, Weihai Li, Hsiao-Fen Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Meng-Meng Li, Tianxiang Li, Chia-Yang 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, Dandan Li, Xiaolian Li, Yi-Ning Li, Yunan Li, Zechuan Li, Sherly X Li, Zhijun Li, Jiazhou Li, Wanling Li, Ya-Ge Li, Yinyan Li, Rujia Li, Guangli Li, Qijun Li, Lixia Li, Zhiwei 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, Shunwang Li, Nana Li, Chao Li, Yaqing Li, Bingsheng Li, Yaqiao Li, Jingui 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, Chumei Li, Zhixiong 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, Binghua Li, Xuyi 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, Shuangxiu Li, Yongjin Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Weike Li, Desheng Li, Zhixuan Li, Chuanbao 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, Huangbao Li, Zehua 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, Xiaoyuan Li, Huanhuan 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, Hai Li, Yuemei Li, Yanli Li, Jingfeng Li, Zhi-Yuan Li, Yuan-Jing Li, Kaibin Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Xiao-Hong Li, Mengjuan Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Zhonglian Li, Baosheng Li, Yujun Li, Mian 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, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Peining Li, Meng-Jun Li, Congjiao Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Nianyu Li, Chenlu Li, Keshen Li, Kechun Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Tianye Li, Cuiguang Li, Qun Li, Zhen Li, F Li, Yuan Li, Chunhong 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, Daniel Tian Li, Rong-Bing Li, Jingyong Li, Honggang Li, Rong Li, Shikang Li, Wei-Yang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Ming Xing Li, Zixiao Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Hong-Lian Li, Bei-Bei Li, Shishi 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, Longxuan Li, Baoting Li, Huiyou Li, Ka Wan Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing Li, Niu Li, Shunle Li, Shilin Li, Siyue Li, Diyan Li, Shili Li, Mengyao Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Meiqing 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, Haolong Li, Hao-Fei 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, Ruidong Li, Dalei 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, Kaiyi Li, Junyi Li, Wenqun Li, Dongtao Li, Guixia Li, Fengyuan Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi 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, Pei-Qin Li, Shu-Hong Li, Chun-Xiao Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Duo Li, Dali Li, Yaxian Li, Zhiming Li, Xuemei Li, Yongting Li, Hongxia Li, Xueting Li, Danyang Li, Zhenjun 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, Jingtong Li, Xiaoping 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, Xiao-Yao Li, Weirong Li, Kun-Ping 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, Hecheng Li, Jiangchao Li, Haifeng Li, Changkai Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, Chaoqian Li, Yunman Li, Shuhua Li, Yu-Cheng Li, Chunying Li, Yirun Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, Zhengliang Li, YiQing Li, Han-Ru Li, Sheng Li, Wei-Qin Li, Weijie Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, Jianbin Li, Chanyuan Li, Shiying Li, Jianxiong Li, Huaying Li, Ji 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, Shaomin Li, Heying 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, Pengjie Li, Ruijin Li
articles
Lisa A Lansdon, Byunggil Yoo, Ayse Keskus +23 more · 2026 · NPJ genomic medicine · Nature · added 2026-04-24
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal ap Show more
Gene fusions are common primary drivers of pediatric leukemias and are the result of underlying structural variants (SVs). Current clinical workflows to detect such alterations rely on a multimodal approach, which often increases analysis time and overall cost of testing. In this study, we used long-read sequencing (lrSeq) as a proof-of-concept to determine whether clinically relevant (cr) SVs could be detected within a small (n = 17) pediatric leukemia cohort. We show that this methodology successfully determined all known crSVs (n = 5/5) detected through routine clinical testing. This approach also identified crSVs that resulted in the classification of a leukemia genetic subtype for four additional patients (n = 4/12), such as an ins(11;10)(q23.3;p12p12) forming a KMT2A::MLLT10 fusion, that were missed by routine clinical approaches. This study demonstrates the diagnostic potential of lrSeq as an assay for SV detection in pediatric leukemia and supports lrSeq as a valuable tool for the accurate detection of crSVs. Show less
no PDF DOI: 10.1038/s41525-026-00560-5
MLLT10
Ying Yang, Xiang Li, Dan-Li Tang +5 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
This study aimed to systematically elucidate the antihyperlipidemic mechanism of paeoniflorin, and we adopted an integrated multi-omics strategy to screen the key molecular targets and regulatory path Show more
This study aimed to systematically elucidate the antihyperlipidemic mechanism of paeoniflorin, and we adopted an integrated multi-omics strategy to screen the key molecular targets and regulatory pathways involved in its action, followed by experimental validation to verify the potential regulatory effects of paeoniflorin on the screened targets and metabolic processes. Rats with high-fat diet-induced hyperlipidemia received paeoniflorin treatment. Liver histopathology was evaluated using hematoxylin-eosin and Oil Red O staining. Serum levels of total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, total bile acids, activated partial thromboplastin time, prothrombin time, thrombin time, and fibrinogen were measured using a biochemical analyzer. Integrated multi-omics analyses were performed to investigate paeoniflorin's lipid-lowering mechanism. Critical pathways and targets identified were validated using Western blotting. Paeoniflorin alleviated pathological liver damage in hyperlipidemic rats and improved blood lipid levels, coagulation function, and liver function markers. Multi-omics analyses verified that paeoniflorin downregulated the expression of TREM-1, TLR4, NF-κB, TNF-α, and IL-1β, thereby alleviating hepatic inflammation. Paeoniflorin also upregulated the expression of low-density lipoprotein receptors (LDLR), liver X receptor alpha (LXRα), and ATP-binding cassette subfamily G member 1 (ABCG1), while downregulating proprotein convertase subtilisin/kexin type 9 (PCSK9) expression, contributing to balanced cholesterol metabolism. Paeoniflorin normalized glycerophospholipid and branched-chain amino acid metabolism, which correlated with reduced inflammation and improved cholesterol metabolism. Paeoniflorin ameliorates hyperlipidemia through multitarget mechanisms, potentially by suppressing the TREM-1-TLR4-NF-κB signaling pathway to reduce inflammation and by regulating cholesterol metabolism via the PCSK9-LDLR and LXRα-ABCG1 pathways. Show less
no PDF DOI: 10.3390/ijms27073039
NR1H3
Yanan Li, Chenglong Li · 2026 · Stroke · added 2026-04-24
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health Show more
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health and Retirement Study, an ongoing national survey recruiting community-dwelling adults aged ≥50 years in the United States. Longitudinal adherence to antihypertensive medication was evaluated during wave 8 (2006) to wave 10 (2010), based on self-reported antihypertensive medication use at each wave. Incident dementia cases were ascertained during wave 10 (2010) to wave 14 (2018) by combining self-reported diagnosis and standardized cognitive batteries, excluding prevalent cases during the medication adherence evaluation period. Cox proportional hazard regression was utilized to assess dementia risk, with adjusted hazard ratios (HR) and 95% CIs calculated, controlling for sociodemographic characteristics, socioeconomic status indicators, lifestyle factors, and clinical conditions, as well as blood pressure measurements. A total of 18 469 participants were screened, after which 11 835 participants (mean [SD] age: 66.2 [10.1] years; men: 40.6%) were included, with 1136 incident dementia cases. After controlling blood pressure and other known risk factors, hypertension participants who persistently adhered to antihypertensive medication during follow-up had a 27% lower dementia risk (HR, 0.73 [95% CI, 0.61-0.87]) than the low adherence group, which was more evident than the associations between baseline antihypertensive medication use and dementia. The difference in dementia risk was insignificant when comparing the high adherence group with the normotension group (HR, 1.03 [95% CI, 0.88-1.21]). The results were consistent in non- Persistently adhering to antihypertensive medication was consistently associated with a lower subsequent dementia risk in community-dwelling middle-aged and older adults. Show less
no PDF DOI: 10.1161/STROKEAHA.125.051564
APOE
Pei Zhang, Huaihai Lu, Xuze Li +6 more · 2026 · BMC medical genomics · BioMed Central · added 2026-04-24
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in th Show more
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in the development and recovery of tracheal injury from septic shock. Nine New Zealand white rabbits were randomized to control (CON), septic shock model (SS), and septic shock norepinephrine treatment (SSNE) groups (each group n = 3). The SS and SSNE groups were injected with lipopolysaccharide to induce septic shock. The SSNE group was administered Ringer lactate with norepinephrine to maintain normal blood pressure. All animals underwent cuffed endotracheal intubation for 2 h. The injured tracheal segment was harvested. RNA sequencing was performed to identify the DEGs, followed by bioinformatics analysis, and pathological staining (both HE and Masson) was performed for pathological evaluation. Bioinformatics analysis included principal component analysis (PCA), gene set enrichment analysis (GSEA), and protein-protein interaction (PPI) network construction. Key findings were validated by qRT-PCR and immunohistochemistry. We obtained 124 upregulated and 28 downregulated DEGs in SS vs. CON groups, along with 60 upregulated and 178 downregulated DEGs in SSNE vs. SS groups. The pathological score showed that trachea tissue in the SS group had the highest score. The protein-protein interaction (PPI) prediction identified APOB and CD36 as the hub genes. The molecular experiments further confirmed that at mRNA and protein levels, APOB was significantly upregulated, while CD36 was significantly downregulated. Subsequent qRT-PCR and immunohistochemical analyses confirmed that APOB expression was significantly upregulated while CD36 was downregulated in the septic shock group, a trend partially reversed by norepinephrine treatment. Our study results suggest that APOB and CD36 may be involved in the pathogenesis of tracheal injury recovery in septic shock patients treated with NE. Not applicable. Show less
📄 PDF DOI: 10.1186/s12920-025-02304-3
APOB
Cheng Huang, Haowen Liu, Bao Jiang +6 more · 2026 · Bioelectrochemistry (Amsterdam, Netherlands) · Elsevier · added 2026-04-24
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high m Show more
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high miss rates. This study innovatively proposes using urinary hydrogen peroxide (H Show less
no PDF DOI: 10.1016/j.bioelechem.2025.109173
DYM
Mei Li, Zeqing Xu, Jiarui Zeng +6 more · 2026 · International journal of medical microbiology : IJMM · Elsevier · added 2026-04-24
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key g Show more
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key genes in Koi Carp responding to S. aureus from human rhinitis remain unclear. In this study, we established an intraperitoneal infection model in koi carp (Cyprinus carpio) using an S. aureus isolate from patients with rhinitis and integrated RNA-seq, qPCR, and ELISA to dissect the host response. Our findings reveal a dual-module immune evasion strategy employed by S. aureus in koi carp. Module I: The pathogen down-regulated the entire complement coagulation cascade (C3, C9, CFH, F7/9/10) and apolipoprotein-mediated opsonins (APOA1, APOB, APOC1/2), thereby crippling innate clearance. Module II: The host mounted a restricted but potent counter-response, characterized by type I IFN signalling (gvin1, MHC-I), NK/T-cell co-stimulation (CD244, SLAMF5), and the selective induction of IL-8 and IL-1β, while IL-6, IL-10, and TNF-α remained unchanged. Functionally, serum superoxide dismutase (SOD), catalase (CAT), and lysozyme (LZM) activities surged, confirming an oxidative burst, whereas splenic CD22R protein decreased, indicating B-cell disinhibition. These results establish a molecular basis for understanding the interaction between human-derived S. aureus and the immune system of aquatic organisms. Show less
no PDF DOI: 10.1016/j.ijmm.2026.151707
APOB
Tingting Cheng, Jianzhong Zhou, Haoran Yang +7 more · 2026 · International dental journal · Elsevier · added 2026-04-24
Despite advancements in dental therapies, insufficient gingival tissue remains a significant challenge. Currently, no specific medications promote the regeneration of gingival tissue, with existing tr Show more
Despite advancements in dental therapies, insufficient gingival tissue remains a significant challenge. Currently, no specific medications promote the regeneration of gingival tissue, with existing treatments primarily redistributing tissue rather than restoring it. Amphibian bioactive peptides show promise but remain underexplored in gingival repair. This study investigates the potential of RL-RF10, a peptide derived from frogs, for gingival tissue repair. The localization of RL-RF10 was monitored using fluorescein isothiocyanate labelling. The effects of RL-RF10 on the biological characteristics of human oral keratinocytes were investigated through live/dead staining, cell counting kit-8 assays, cell cycle analysis, and wound healing assays. Additionally, the role of integrins (ITG) and epithelial-mesenchymal transition in cell migration, as well as the impact of signalling pathways involved in cell migration, was studied through Western blot and immunofluorescence assays. The efficacy of RL-RF10 was assessed using a New Zealand rabbit gingival defect model in vivo. RL-RF10 exhibited good biocompatibility and promoted cell proliferation and migration. It enhances cell migration capabilities by activating the p38 mitogen-activated protein kinases signalling pathway, upregulating the expression of ITG αv and β3. The gingival tissue of rabbits treated with RL-RF10 displayed superior tissue structure and repair outcomes. RL-RF10 is the first known amphibian-derived peptide with potential for gingival repair and regeneration. It promotes cell migration, a process linked to p38 mitogen-activated protein kinases pathway activation and associated with the upregulation of ITG αvβ3 expression and partial epithelial-mesenchymal transition. These findings provide insights into RL-RF10's role in tissue repair and suggest new avenues for clinical applications. Show less
no PDF DOI: 10.1016/j.identj.2025.109337
SNAI1
Tengyun Yang, Chao Jia, Guoliang Wang +6 more · 2026 · Osteoarthritis and cartilage · Elsevier · added 2026-04-24
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed Show more
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed data from the U.S. National Health and Nutrition Examination Survey (NHANES, 2011-2018; n = 8981). Obesity was defined using body mass index (BMI ≥ 30 kg/m²) combined with body fat percentage (BFP ≥ 25 % in men and ≥ 32 % in women). Logistic regression and subgroup analyses were conducted to evaluate associations with OA. Genetic correlation between obesity and OA was estimated using linkage disequilibrium score regression (LDSC). Two-sample Mendelian randomization (MR) was applied to assess causal effects using genome-wide association study (GWAS) summary statistics for BFP and OA. Transcriptome-wide association studies (TWAS) and colocalization analyses were performed to identify candidate genes. Mediation MR was conducted to verify their mediating roles. Obesity defined by BMI combined with BFP was significantly associated with OA (OR = 1.421, 95 %CI: 1.048-1.925, P = 0.025), and was independent of age, race, and various comorbidities. MR analysis confirmed a unidirectional causal effect of obesity on OA (IVW OR = 2.349, 95 %CI: 2.012-2.743, P < 0.001), with no reverse causality detected. TWAS and colocalization identified MAPK3, RBM6, and PRMT6 as potential mediators. Mediation MR confirmed significant effects of MAPK3 (β = 0.991, P = 0.015) and RBM6 (β = 2.740, P < 0.001) in the obesity-OA pathway. Obesity exerts a causal effect on OA, partially mediated by the downregulation of MAPK3 and RBM6. These genes represent potential targets for the prevention and treatment of obesity-related OA. Show less
no PDF DOI: 10.1016/j.joca.2025.11.003
RBM6
Yuejia Ma, Yanxi Li, Guangrun Wu +10 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, d Show more
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, death. The global incidence of AD is projected to increase significantly, with late-onset AD being predominantly sporadic in nature. Over the past three decades, the Apolipoprotein E (APOE) gene has been recognized as the most important single genetic determinant of sporadic AD risk. The APOE4 allele is a major risk factor for AD and is known to exacerbate the pathological process for AD. Identifying protective variants that may reduce the risk or delay the onset of AD is of great significance for the development of effective treatments. This review comprehensively examines the protective effects of APOE and its related protective mutations. It also explores the impact of these unique protective variants at the cellular level during the pathological progression of AD. Furthermore, the review compiles new insights for AD treatment offered by these protective mutations, exploring the potential applications of APOE and its related protective variants in advanced therapeutic strategies, including gene editing, RNA editing, and stem cell therapy. Show less
📄 PDF DOI: 10.1038/s41380-026-03496-5
APOE
Xiang Li, Qing Wang, Jiecheng Zhang +2 more · 2026 · Cellular signalling · Elsevier · added 2026-04-24
Abdominal aortic aneurysm (AAA) is a fatal disease characterized by vascular wall inflammation and matrix remodeling. The inflammatory phenotypic transformation of smooth muscle cells (SMCs) holds a p Show more
Abdominal aortic aneurysm (AAA) is a fatal disease characterized by vascular wall inflammation and matrix remodeling. The inflammatory phenotypic transformation of smooth muscle cells (SMCs) holds a pivotal role in AAA pathogenesis. As an inflammatory regulator, whether FBJ osteosarcoma oncogene B (Fosb) participates in AAA progression by driving SMC phenotypic switching remains unclear. Using the scRNA-seq data from AAA patients, we identified Fosb as a key driver of SMC phenotypic switching through cell clustering annotation, differential gene screening, functional enrichment, and pseudo-time trajectory analysis. An in vitro AAA cell model was established using Ang-II-stimulated T/G HA-VSMC cells. Fosb expression was assessed by qRT-PCR and western blot (WB). AAA cell models with Fosb knockdown or overexpression were constructed to investigate the effects of Fosb on T/G HA-VSMC cell proliferation, apoptosis, migration, invasion, contractile marker protein expression, and inflammatory cytokine secretion via WB, CCK8, Transwell, flow cytometry, and ELISA. Furthermore, WB was applied in detecting ferroptosis and NF-κB signaling pathway protein expression. Kits were employed for the determination of MDA, GSH, and Fe Fosb Fosb drives SMC ferroptosis and inflammatory phenotypic switching, via NF-κB pathway activation, thereby reinforcing AAA progression. Targeting Fosb or the ferroptosis pathway may provide new therapeutic strategies for AAA treatment. Show less
no PDF DOI: 10.1016/j.cellsig.2026.112544
APOE
Xue Yang, Xinke Li, Xuan Zhang +3 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Short-chain fatty acids (SCFAs) are key microbial metabolites that support intestinal and skeletal development, yet their coordinated effects during early life remain poorly defined. In this study, ne Show more
Short-chain fatty acids (SCFAs) are key microbial metabolites that support intestinal and skeletal development, yet their coordinated effects during early life remain poorly defined. In this study, neonatal mice were administered SCFAs for 28 days to evaluate their impacts on growth, intestinal barrier integrity, immune modulation, bone development, and gut microbiota composition. Valerate supplementation significantly increased body weight and intestinal length. It enhanced the villus structure, crypt depth, and goblet cell number, alongside upregulation of tight junction and mucin genes, indicating improved barrier function. Valerate and propionate also promoted the expression of interleukin-4 (IL-4) and interleukin-10 (IL-10) and reduced pro-inflammatory cytokines, suggesting an immunomodulatory shift. In the skeletal system, valerate improved the microarchitecture, increased bone mineral density (BMD), and upregulated osteogenic genes runt-related transcription factor 2 (Runx2), fibroblast growth factor receptor 1 (FGFR1), and growth hormone receptor (GHR). Microbiota profiling showed enrichment of several genera ( Show less
no PDF DOI: 10.1039/d5fo05394c
FGFR1
Yue Yao, Xiao Wu, Hao Wu +2 more · 2026 · Foods (Basel, Switzerland) · MDPI · added 2026-04-24
Unhealthy diets characterized by high salt, fat, and fructose content are established risk factors for metabolic and cardiovascular disorders and may have indirect effects on cognitive function. Howev Show more
Unhealthy diets characterized by high salt, fat, and fructose content are established risk factors for metabolic and cardiovascular disorders and may have indirect effects on cognitive function. However, the combined impact of a high-salt, high-fat, and high-fructose diet (HSHFHFD) on systemic physiology and brain health remains to be fully elucidated. Sprague-Dawley (SD) rats received a customized high-salt, high-fat diet supplemented with 30% fructose water for 18 weeks. Physiological and brain parameters were assessed, in combination with multi-omics analyses including brain proteomics and metabolomics, serum metabolomics, and gut microbiota profiling. HSHFHFD significantly elevated blood glucose, blood pressure, and serum levels of TG, TC, and LDL in rats. Serum metabolomic profiling identified over 100 differentially abundant metabolites in the Model group. Proteomics, metabolomics, and gut microbiome integration revealed pronounced alterations in both brain proteomic and metabolomic profiles, with 155 differentially expressed proteins associated with glial cell proliferation and 65 differential metabolites linked to fatty acid and amino acid metabolism, among others. Experimental validation confirmed marked upregulation of GFAP and Bax protein, concomitant with downregulation of ZO-1 and occludin. Furthermore, HSHFHFD perturbed the CREB signaling pathway, leading to diminished BDNF expression. The levels of inflammatory factors, including IL-6, IL-10, IL-1β and TNFα, were significantly elevated in the brain. Oxidative stress was evident, as indicated by elevated malondialdehyde (MDA) levels, increased superoxide dismutase (SOD) activity, and altered NAD HSHFHFD-induced depletion of gut Show less
📄 PDF DOI: 10.3390/foods15010171
BDNF
Zi-Yu Wei, He-Ping Wang, Song Tang +10 more · 2026 · Genomics, proteomics & bioinformatics · Oxford University Press · added 2026-04-24
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To addre Show more
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To address this, we performed multi-tissue metabolomic profiling (liver, heart, and serum) in apolipoprotein E-deficient (ApoE-/-) mice subjected to CR. Metabolomic analyses of the multiple tissues revealed that glycerophospholipid metabolism pathway was consistently modulated by CR. To explore its relevance in vascular diseases, we performed serum metabolomic profiling in an abdominal aortic aneurysm (AAA) model induced by angiotensin Ⅱ (AngⅡ) infusion in ApoE-/- mice. The level of lysophosphatidylethanolamine (LPE) (16:0/0:0), a metabolite in the glycerophospholipid metabolism pathway, was elevated during AAA progression and significantly reduced by CR intervention, suggesting its potential as a vascular disease risk factor. Notably, glycerophospholipid metabolism and LPE (16:0) were significantly associated with vascular diseases and aging-related indicators in human multi-omics data, including public transcriptomic and lipidomic, and our serum multi-omics profiling of 76 healthy aged individuals. Collectively, our findings establish glycerophospholipid metabolism and LPE (16:0) as systemic signatures of CR with diagnostic potential. They highlight a crucial link between systemic metabolism and vascular remodeling and remodeling-associated vascular diseases, while also functioning as indicators of systemic aging. Show less
no PDF DOI: 10.1093/gpbjnl/qzag030
APOE
Yunyun Liu, Xiangrui Li, Ting Zhao +9 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile an Show more
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1741344
LPA
Fei Li, Xin Zhang, Hong Jiang +2 more · 2026 · Folia neuropathologica · added 2026-04-24
Intracerebral hemorrhage (ICH) has a high rate of death and disability. LncRNA-TUG1 is essential for the pathological changes secondary to ICH. The purpose of this work was to investigate the possible Show more
Intracerebral hemorrhage (ICH) has a high rate of death and disability. LncRNA-TUG1 is essential for the pathological changes secondary to ICH. The purpose of this work was to investigate the possible mechanism by which TUG1 inhibits neural repair subsequent to ICH through adjusting miR-381-3p/brain-derived neurotrophic factor (BDNF). After the ICH model was created, miR-381-3p agomir and pcDNA-TUG1 were injected. The neural function of rats was estimated using the modified neurological severity score. To quantify the expression of genes and proteins, western blotting, immunohistochemistry, and qRT-PCR were used. To confirm the interaction between TUG1 and miR-381-3p and between miR-381-3p and BDNF mRNA, a luciferase reporter assay was employed. In rats treated with miR-381-3p agomir, a trend of improvement in neurological dysfunction was observed, while the pcDNA-TUG1-treated ones showed deterioration. Furthermore, miR-381-3p agomir increased, while pcDNA-TUG1 reduced the expression level of BDNF in ICH rats. TUG1 and BDNF mRNA were validated to attach directly to miR-381-3p. Overexpressing TUG1 inhibited the level of BDNF by sponging miR-381-3p and antagonized its protective effect on neural repair in ICH rats. Our study suggests that TUG1 can sponge miR-381-3p to downregulate BDNF expression and inhibit neural repair following ICH, demonstrating a potential signaling pathway that is conducive to a better understanding of the pathological mechanisms of ICH. Show less
📄 PDF DOI: 10.5114/fn.2025.154414
BDNF bdnf cerebral hemorrhage ich lncrna mir-381-3p neural repair tug1
Zhihao Zhao, Yutong Yang, Liu Zhang +12 more · 2026 · Scientific reports · Nature · added 2026-04-24
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don Show more
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don and Scleromitrion diffusum (Willd.) R.J. Wang (SB-SD) exhibit diverse biological activities, such as anti-inflammatory, antioxidant, and antitumor effects, though their precise regulatory mechanisms are not fully elucidated. Here, we treated PC cells with SB-SD to assess its impact on cell viability, apoptosis, migration, and cell cycle progression, while Western blotting analyzed the expression of HSP90AA1, MAPK3, p53, CDK1, and p21. We also established a pancreatic cancer xenograft model in nude mice to evaluate the in vivo inhibitory effect of SB-SD on tumor growth. Furthermore, we employed metagenomic sequencing, untargeted metabolomics, and quantitative proteomics to comprehensively profile changes in the gut microbiota, serum metabolites, and differentially expressed proteins, with Western blotting subsequently validating BCKDK, GATM and p53 expression. The results show that SB-SD significantly inhibited PC cell proliferation, promoted apoptosis, and induced S/G2 phase cell cycle arrest, potentially via modulation of the HSP90AA1/MAPK3 signaling pathway. Measurements of tumor volume and weight, complemented by histopathological analysis, confirmed that SB-SD effectively suppressed the growth of PANC-1 xenograft tumors. Integrated multi-omics analyses suggest that the antitumor effects of SB-SD may involve the modulation of key gut microbes like Bacteroides caccae and Lactobacillus, the promotion of choline metabolism, and the regulation of BCKDK and GATM. Together, these findings not only corroborate the direct antitumor activity of SB-SD against pancreatic cancer but also offer novel mechanistic insights by constructing a microbiota-metabolite-protein interaction network. Show less
📄 PDF DOI: 10.1038/s41598-026-45676-x
BCKDK
Nan Li, Khadijeh Taherdangkoo, Isabelle M Baatsch +22 more · 2026 · Circulation · added 2026-04-24
Hypercholesterolemia and a high-fat diet promote 2 macrophage subtypes involved in atherosclerosis by inducing lipid droplet accumulation in foamy macrophages (FMs) and inflammatory activation in non- Show more
Hypercholesterolemia and a high-fat diet promote 2 macrophage subtypes involved in atherosclerosis by inducing lipid droplet accumulation in foamy macrophages (FMs) and inflammatory activation in non-foamy macrophages (NFMs). MicroRNAs are key regulators of macrophage function; for instance, The role of Unlike FMs, NFMs are primarily located in the plaque core and show higher Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.125.077821
APOE
Hai-Bi Su, Jing-Huan Wang, Yu-Yu Zhang +7 more · 2026 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Myocardial hypertrophy is one of the most prominent features of heart failure. SET domain-containing protein 7 (Setd7), a catalytic enzyme responsible for histone H3K4 methylation, has been implicated Show more
Myocardial hypertrophy is one of the most prominent features of heart failure. SET domain-containing protein 7 (Setd7), a catalytic enzyme responsible for histone H3K4 methylation, has been implicated in various cardiac diseases. In this study we investigated whether Setd7 contributed to the development of cardiac hypertrophy. Male mice were subjected to a hypobaric hypoxic environment for 8 weeks; neonatal rat cardiomyocytes (NRCMs) exposed to hypoxia for 6 h. We showed that hypoxic stimulation significantly upregulated the expression levels of Setd7 along with the expression of hypertrophic markers ANP and BNP in NRCMs. By conducting loss- and gain-of-function assays, we demonstrated that Setd7 modulated the hypertrophic and inflammatory markers in hypoxic cardiomyocytes. We further revealed that Setd7-mediated activation of E2F1 (E2 promoter binding factor 1) triggered the expression of E3 ubiquitin protein ligases WWP2, which catalyzed the ubiquitination and degradation of glutathione peroxidase 4 (GPx4), a critical lipid peroxide-reducing enzyme. This degradation drove extensive lipid peroxidation, thereby exacerbating pathological cardiac hypertrophy. Notably, GPx4 inhibition by ras-selective lethal small molecule 3 (RSL3) abolished the antihypertrophic effects of Setd7 knockdown in cardiomyocytes, underscoring the pivotal role of lipid peroxidation in Setd7-mediated hypertrophic responses. In summary, Setd7 promotes hypoxia-induced cardiac hypertrophy through the Setd7-E2F1-WWP2-GPx4 signaling pathway, suggesting that targeting Setd7 is a promising therapeutic strategy to alleviate hypoxia-induced myocardial hypertrophy. Show less
no PDF DOI: 10.1038/s41401-025-01626-3
WWP2
Ziliang Wu, Chen Qiu, Meimei Pan +6 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
Lipoprotein(a) [Lp(a)] has been recognized as a genetically determined and independent contributor to atherosclerotic cardiovascular disease. However, its role in lower extremity arterial disease (LEA Show more
Lipoprotein(a) [Lp(a)] has been recognized as a genetically determined and independent contributor to atherosclerotic cardiovascular disease. However, its role in lower extremity arterial disease (LEAD) among individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) remains insufficiently studied. Given the overlapping metabolic disturbances in both conditions, such as insulin resistance and lipid abnormalities, a potential relationship between Lp(a) and peripheral vascular injury in MASLD is biologically plausible. This study aimed to investigate the cross-sectional association between circulating Lp(a) concentrations and the presence of LEAD in a well-characterized MASLD population. A total of 468 MASLD patients undergoing routine health check-ups were included. Lp(a) levels were stratified into three categories: <10 mg/dL, 10–30 mg/dL, and ≥ 30 mg/dL. LEAD was diagnosed using duplex ultrasonography. Multivariable logistic regression models were used to assess the relationship between Lp(a) levels and the presence of LEAD, with adjustments for demographic variables, metabolic conditions, and lipid-related parameters. Subgroup analyses were conducted to assess potential effect modification. LEAD was diagnosed in 61.5% ( Elevated Lp(a) levels were associated with a higher prevalence of LEAD in patients with MASLD. Although the magnitude of association per unit increase was modest, higher Lp(a) concentrations were associated with greater LEAD prevalence. These findings should be interpreted cautiously and viewed as hypothesis-generating, particularly with respect to subgroup analyses. Prospective studies are needed to clarify causality and clinical relevance. The online version contains supplementary material available at 10.1186/s12872-026-05600-7. Show less
📄 PDF DOI: 10.1186/s12872-026-05600-7
LPA
Xiao-Na Zeng, Zi-wen Liu, Jing Zhou +5 more · 2026 · Life sciences · Elsevier · added 2026-04-24
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associate Show more
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associated fatty liver disease (MAFLD) in adult offspring and explores underlying mechanisms. Pregnant Kunming mice were administered prednisone (0.25 or 1 mg/kg; PPE-L or PPE-H) or vehicle control (5% carboxymethyl cellulose; Ctrl) by daily gavage from gestational days 0-18. Offspring were assessed metabolically, histologically, and via RNA-Seq. Primary hepatocytes were treated with fatty acids with or without the epigenetic inhibitors to evaluate Nr1h3 expression and lipid deposition. Offspring body weight was similar in PPE-L vs Ctrl, but was reduced in PPE-H group followed by delayed growth. After 6-week HFD feeding, PPE-L offspring showed mild metabolic issues, while PPE-H males exhibited significant glucose/lipid disorders and hepatic steatosis compared to controls. RNA-Seq showed upregulation of hepatic lipid pathways in the PPE-H male offspring when challenged by HFD. The liver X receptor alpha (LXRα)-sterol regulatory element-binding protein 1 (SREBP1) signaling pathway and the expression of genes involved in de novo fatty acid synthesis were increased in PPE-H offspring under HFD. A485 significantly downregulated the expression of Nr1h3 in primary hepatocytes from male PPE-H offspring and alleviated lipid deposition in these hepatocytes treated with fatty acids. The H3K27ac level in the Nr1h3 promoter in the PPE-H offspring's liver was significantly upregulated. PPE-L impairs offspring glucose/lipid homeostasis, whereas PPE-H increase MAFLD risk of the offspring by epigenetic programming of the hepatic LXRα-SREBP1 pathway, especially in the males. Show less
no PDF DOI: 10.1016/j.lfs.2026.124390
NR1H3
Yan Wang, Zaiqi Zhang, Liang Cao +5 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
This study aimed to integrate network pharmacology, bioinformatics analysis, molecular docking, and experimental validation to construct a "component-target-pathway" multidimensional network model, sy Show more
This study aimed to integrate network pharmacology, bioinformatics analysis, molecular docking, and experimental validation to construct a "component-target-pathway" multidimensional network model, systematically elucidate the potential mechanisms underlying the therapeutic effects of the extract of Potentilla freyniana Bornm. (PFB) on hepatocellular carcinoma (HCC), and thereby clarify its pharmacological basis. HCC datasets were retrieved from GEO and TCGA databases, and the DEGs were screened. The active components of the n-butanol extract of PFB were obtained by UHPLC-MS/MS, and the candidate target genes were predicted by the SwissTargetPrediction, Similarity Ensemble Approach, and SuperPred databases. The overlapping target genes were selected by GO and KEGG enrichment analysis, and the key target genes were screened by the SVM and RF algorithms. The verification of differentially expressed target genes and ROC analysis of key target genes were performed. Molecular docking was performed using CB-Dock2. We investigated the parameters of proliferation, migration, invasion, and apoptosis in the n-butanol extract of PFB treated HCC, and we verified the expressions of key proteins in HCC by Western blot. Toxicity experiments showed that the n-butanol extract of PFB did not cause significant toxic damage to the mice heart, liver, and kidney. CCK8 assays detected that the n-butanol extract of PFB had inhibitory effects on HCC. Through network pharmacology, we obtained a total of 17 overlapping genes and finally screened out 6 key target genes by SVM and RF algorithm analyses. Molecular docking and molecular dynamics results showed that the active components of PFB, such as ellagic acid, luteolin, berberrubine, procyanidin B1, and adenosine, had better affinity with these key target genes. By qPCR and Western blot assays, we verified that the expressions of CDK1 and EZH2 and the key factors of the MPAK signaling pathway were significantly down-regulated in HCC. This study demonstrated that the n-butanol extract of PFB exhibits a strong inhibitory effect on the proliferation of HepG2 cells and clarifies the underlying molecular mechanisms involved. By precisely modulating the expression levels of critical signaling molecules - including CDK1, PDGFRB, AKT1, FGFR1, MAPK1, and EZH2 - the n-butanol extract of PFB robustly disrupts cancer cell cycle progression and perturbs the activity of associated signaling pathways, thereby significantly curtailing the aberrant proliferation of tumor cells. This study not only elucidated the effects of the n-butanol extract of PFB on the aforementioned targets but also established a theoretical and experimental basis for further investigating their application in the treatment of HCC. Furthermore, it offers novel insights and research directions for the development of innovative therapeutic strategies derived from natural products, particularly those centered on multi-target synergistic approaches for liver cancer treatment. Show less
no PDF DOI: 10.1016/j.jep.2025.120492
FGFR1
Fengjiao Fan, Nanlong Li, Wenqian Tang +6 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Lead (Pb) accumulation in the hippocampus and the resulting oxidative stress contribute to memory impairments, highlighting the hippocampus as a primary target for Pb neurotoxicity. Selenium-containin Show more
Lead (Pb) accumulation in the hippocampus and the resulting oxidative stress contribute to memory impairments, highlighting the hippocampus as a primary target for Pb neurotoxicity. Selenium-containing peptides TSeMMM and SeMDPGQQ are able to alleviate Pb-induced oxidative neurological damage and the specific microRNAs involved in the memory protection by the two peptides need to be explored. In this study, mouse memory impairment models were constructed through the administration of 20 mg kg Show less
no PDF DOI: 10.1039/d5fo04343c
BDNF lead memory impairment microrna neurotoxicity oxidative stress peptides selenium
Mei Zhao, Chao Zhang, Xin Zhang +3 more · 2026 · Nature communications · Nature · added 2026-04-24
Multiple sclerosis (MS) is a neurodegenerative autoimmune disease primarily mediated by T helper 17 (T
no PDF DOI: 10.1038/s41467-025-67665-w
WWP2
Dinuo Xin, Dina Xin, Ying Wang +3 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associ Show more
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associated with the different subtypes. A cross-sectional descriptive study was used. From January to February 2024, 845 novice nurses from 11 hospitals in Shanxi Province were selected for an online questionnaire survey using convenience sampling. The demographic questionnaire, transition shock of newly graduated nurses scale, medical staff resilience scale, and career calling scale were used as study instruments. Latent profile analysis (LPA) was used to explore the subtypes of novice nurses' career calling, and multifactorial logistic regression was used to analyze the related factors of novice nurses' career calling. Three subtypes of career calling of novice nurses in this study were identified, namely, lacking-calling group (10.3%), stable-calling group (50.0%), and sufficient-calling group (39.7%). Education, weekly working hours, weekly frequency of night shifts, reasons for choosing nursing, level of transition shock, and level of resilience were significantly associated with the three latent profiles of career calling of novice nurses in this study. Novice nurses' career calling presents 3 latent profiles and is heterogeneous in this study. Nursing administrators could pay attention to the differences in the level of career calling of novice nurses and adopt targeted management strategies based on the type of characteristics of the population in order to improve the level of career calling of novice nurses, help them develop their careers, and stabilize the nursing workforce. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1651190
LPA
Mengru Guo, Taotao Fan, Yong Li +10 more · 2026 · Brain, behavior, and immunity · Elsevier · added 2026-04-24
COG133, a peptide fragment derived from apolipoprotein E (ApoE) corresponding to residues 133-149, has demonstrated significant anti-inflammatory and neuroprotective activity. However, its precise ant Show more
COG133, a peptide fragment derived from apolipoprotein E (ApoE) corresponding to residues 133-149, has demonstrated significant anti-inflammatory and neuroprotective activity. However, its precise anti-inflammatory mechanisms and its potential to ameliorate depression-like behaviors remain incompletely understood. This study investigated the effects of COG133 in mouse models of depression induced by lipopolysaccharide (LPS), chronic social defeat stress (CSDS), and corticosterone (CORT), as well as in LPS-stimulated BV-2 microglial cells. We found that COG133 treatment significantly alleviated depression-like phenotypes and suppressed hippocampal neuroinflammation by inhibiting microglial overactivation. Using RNA sequencing (RNA-seq) and biochemical validation, we identified the MKK3/6-p38-ATF2 signaling axis as a central mechanism underlying the anti-inflammatory effects of COG133. Pharmacological modulation of p38 MAPK further confirmed that this pathway is essential for COG133-mediated behavioral and cellular recovery. Together, these findings identify COG133 as a promising peptide candidate for the treatment of depression through modulation of the p38 MAPK-mediated neuroinflammation axis. Show less
no PDF DOI: 10.1016/j.bbi.2026.106491
APOE
Ying-Yan Chang, Xu-Hui Zheng, Meng-Wei Wang +9 more · 2026 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Microglia monitor disease stimulation, neuronal apoptosis, and neural repair, and their overactivation-induced inflammation plays a key role in the pathogenesis of Alzheimer's disease (AD). Morronisid Show more
Microglia monitor disease stimulation, neuronal apoptosis, and neural repair, and their overactivation-induced inflammation plays a key role in the pathogenesis of Alzheimer's disease (AD). Morroniside (Mor), an iridoid glycoside compound in Cornus officinalis, is one of the effective active components. The effects of Mor on antioxidant stress, antiapoptosis, and nerve repair function have been widely studied, but the mechanism of Mor in AD treatment remains unclear. To study the neuroprotective effects of Mor and elucidate the molecular mechanisms underlying its improvement of AD symptoms, we used ApoE4 transgenic mice and ApoE4-transfected BV2 cells as models of AD, focusing on microglia phenotype, function, and neuroinflammation. The 10-month-old mice were randomly divided into the ApoE3 control group (ApoE3 + Veh), the ApoE4 model group (ApoE4 + Veh), and the ApoE4 + Mor 10, 20, and 40 mg/kg groups as in vivo models. The in vitro BV2-ApoE model was constructed via lentiviral transfection. The effects of Mor on cognitive function of AD models were assessed through behavioral tests, western blot, immunofluorescence staining, and ELISA to measure changes of related pathological and inflammatory factors. Mor improved the cognitive function of ApoE4 transgenic mice by reducing Aβ plaques in the brain, improving the structural lesions of hippocampal neurons, and increasing synaptic plasticity in the brain of AD mice. In addition, Mor promoted the transformation of microglia from the M1 to the M2 phenotype, inhibited the activation of the CX3CR1/PU.1 signaling axis, and alleviated the dysfunction of microglia both in vitro and in vivo. CX3CR1 siRNA and PU.1 siRNA were used further to verify the regulatory effect of Mor on microglia phenotype. Our findings indicate that Mor can inhibit neuroinflammation, reduce Aβ accumulation, and improve synaptic damage in ApoE4 mice via the CX3CL1/CX3CR1/PU.1 pathway regulating the phenotype and function of microglia. This study provides a new therapeutic candidate for the prevention and treatment of AD. Show less
no PDF DOI: 10.1002/ptr.70177
APOE
Wei Li, Lebin Liu, Weiwei Liu +1 more · 2026 · Frontiers in neurology · Frontiers · added 2026-04-24
[This corrects the article DOI: 10.3389/fneur.2026.1744242.].
📄 PDF DOI: 10.3389/fneur.2026.1819914
BDNF acupuncture brain cognitive impairment network neurobiological neurotransmission
Jia-Qi Lin, Xia-Fei Chen, Jia-Hao Zhu +4 more · 2026 · Experimental eye research · Elsevier · added 2026-04-24
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key Show more
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key genes involved in KC development and in anoikis and endoplasmic reticulum (ER) stress. KC and control datasets from the GEO database were analyzed to identify differentially expressed genes (DEGs). These were cross-referenced with anoikis and ER stress-related genes from Genecards. Functional enrichment, immune infiltration analysis, and machine learning techniques (LASSO, Random Forest) were used to identify candidate molecular signatures, which were then validated in an animal model. We identified 46 DEGs associated with anoikis and 41 DEGs related to ER stress. Functional analysis linked them to apoptosis and IL-17 signaling. Five key molecular signatures were identified: CDKN1A, MCL1, PTGS2, PTHLH, and ANGPTL4. The expression of ANGPTL4, CDKN1A, and MCL1 was consistent in the animal model. These genes are associated with inflammatory and oxidative stress responses. Twelve potential therapeutic drugs were predicted. This study identifies five candidate molecular signatures for KC related to anoikis and ER stress, offering insights into KC pathogenesis and potential targeted therapies. Show less
no PDF DOI: 10.1016/j.exer.2026.110910
ANGPTL4
Boteng Yan, Peijiang Pan, Wenfu Tao +2 more · 2026 · Current medicinal chemistry · Bentham Science · added 2026-04-24
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, with substantial unmet therapeutic needs. This study aimed to identify and prioritize genetically supported therapeutic ta Show more
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, with substantial unmet therapeutic needs. This study aimed to identify and prioritize genetically supported therapeutic targets for CAD using Mendelian randomization (MR). We implemented a two-sample MR framework to infer the causal effects of blood druggable cis-expression quantitative trait loci (cis-eQTLs) on CAD. To consolidate MR findings, we applied Steiger filtering, Bayesian colocalization, and multiple sensitivity analyses. Mediation and phenomewide MR analyses were employed to investigate potential mechanisms and on-target effects of prioritized druggable genes. We identified 66 causal druggable genes associated with CAD in European populations (false discovery rate < 0.001). Among these, ERP29 (odds ratio [OR] = 1.311; 95% confidence interval [CI]: 1.176-1.460), MCL1 (OR = 0.877; 95% CI: 0.840-0.915), TNXB (OR = 1.183; 95% CI: 1.102-1.269), DAGLB, FES, and TRPM4 colocalized with CAD (posterior probability for colocalization > 0.8). The associations for ERP29, MCL1, and TNXB were replicated in an East Asian cohort. Protein-protein interaction network analysis highlighted MAPK3 and TNF as prioritized druggable targets at the protein level. Mediation analysis indicated that body mass index, triglycerides, blood pressure, and atrial fibrillation partially mediate the association between MAPK3 and CAD. Phenome-wide MR analysis further suggested additional beneficial effects of targeting MAPK3 and TNF on diabetes mellitus, obesity, hypertension, unstable angina, myocardial infarction, angina pectoris, coronary atherosclerosis, ischemic heart disease, and disorders of lipoid metabolism. This druggable genome-wide MR study not only corroborated the targets of FDA-approved CAD medications (e.g., FGFR1, MAPK3, NEU1) but also uncovered several novel genes, such as ERP29, MCL1, TNXB, DAGLB, FES, and TRPM4, implicating mechanisms related to blood pressure, lipid metabolism, and additional beneficial effects on endocrine/cardiometabolic traits and circulatory system disorders. Further exploration is imperative to explore their feasibility and generalizability. We identified circulating ERP29, MCL1, TNXB, DAGLB, FES, TRPM4, MAPK3, and TNF as promising, genetically supported druggable targets for CAD treatment. Notably, MAPK3 and TNF demonstrated strong protein-level interactions and close associations with cardiometabolic disorders. Show less
no PDF DOI: 10.2174/0109298673426660251215100614
FGFR1
Feng Su, Shengnan Lu, Junli Zhang +7 more · 2026 · AAPS PharmSciTech · added 2026-04-24
The poor efficacy of chemotherapy for glioma is mainly due to the difficulty of drug penetration through the blood-brain barrier (BBB), as well as the difficulty of drug concentration in the tumor tis Show more
The poor efficacy of chemotherapy for glioma is mainly due to the difficulty of drug penetration through the blood-brain barrier (BBB), as well as the difficulty of drug concentration in the tumor tissue to reach the effective therapeutic level. The emerging tumor-targeted delivery technology can facilitate the precise enrichment of drugs in the tumor site. Apolipoprotein E (ApoE(159-167) Show less
📄 PDF DOI: 10.1208/s12249-025-03323-0
APOE