👤 Huilong 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, Qingchao Li, Yan-Xue Li, Xikun Li, Hong-Tao Li, Enhong Li, Guobin Li, Xiangnan Li, Yong-Jun Li, Ziming Li, Hang Li, Rongqing 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, K-L Li, Xinjia Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Peilin Li, X Y Li, Ran Li, Chunshan Li, Ming Zhou Li, Yixiang 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, 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, You Li, Dongfeng Li, Xueyang Li, Xuelin Li, Fa-Hui Li, Caiyu Li, Zhen-Yuan 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, Mingxu Li, Chen-Xi Li, Panlong Li, Changwei Li, Dejun 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, 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, 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, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Hualing Li, Wen-juan Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Liqin Li, Jingya Li, Huanan 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, Lingxi Li, Chuan-Hai Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Zhongyu Li, Qin Li, Zhen-Yu Li, Deyu 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, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Cui-lan Li, Jun-Jie Li, Ruonan 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, Zihao Li, Weiyong 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, Wan Jie Li, L K Li, Ya-Ting Li, Dongbiao Li, Aimin Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, L-Y Li, Peiyun Li, Xiuqi 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, Haipeng Li, Demin Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yu Li, Yvonne Li, Minhui Li, Yiwei Li, Jiayuan Li, Zhichao Li, Xiangzhe Li, Minglun Li, Siguang Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Hailong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Xiangyun Li, Si 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, Panyuan Li, Gang Li, Ziyu 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, Bing Li, Pei-Ying Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, Song-Chao Li, Lujiao 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, Jialing Li, Zu-Ling Li, Yunjiu Li, Xin 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, 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, MengGe Li, Xuezhong Li, Anan Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Ning Li, Ruobing Li, Wan-Xin Li, Yanxi Li, Meitao Li, Xia Li, Yongjing Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Huixue Li, Jiqing Li, Hehua Li, Yucheng Li, Qingyuan Li, Yongqi Li, Fengqi Li, Yuqing Li, Zhigang 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, Ganggang Li, Jinxin 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, Mengxia Li, Conglin 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, Yiliang Li, Zhen-Hua Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Youming Li, Mi Li, Qingrun Li, Dong-Yun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Yumiao Li, Fengfeng Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Junxu Li, Xiangjun Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Xingyu Li, Zhaoping Li, Xiaolei Li, Zhenlu Li, Wenying Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Zhenming Li, Xuelian 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, Qiu Li, Juanjuan Li, Xiangyan Li, Guangzhen Li, Kunlun Li, Shiyun Li, Xiaoyu 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, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yumao Li, Yuqiu 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, Keqing Li, Junxian Li, Zhihua Li, Shuwen Li, Saijuan Li, Danxi Li, Minqi Li, Lingjun Li, Mimi Li, Deheng Li, Si-Xing Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei Li, Minle Li, Meifen Li, Le-Le Li, Yifeng 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, Guisen Li, Yuandong 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, Zhi-Xing Li, Chang 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, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Liangji Li, Yaxuan Li, Yuchan Li, Lixiang Li, Tian-wang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, You Ran Li, Xiaoqiong Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Wenzhuo Li, Xuri Li, Y Li, Deqiang Li, Zipeng Li, Caixia 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, Ziyang Li, Sitao 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, Xiaonan Li, Xiaoju Li, Ting Li, Xiang-Yu Li, Duan 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, Shanglai Li, Shulin Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, Xueying Li, Zhongcai Li, Jun-Ru Li, JunBo Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Linxin Li, Haihua Li, Yu-Lin Li, Jen-Ming Li, Tsai-Kun Li, Chen-Chen Li, Shujing Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Shihong Li, Huifeng Li, Rulin Li, Ya-Pei 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, Danni Li, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Zhenzhou Li, Pengyang Li, Yiqiang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Xiangpan Li, Zesong Li, Yutong 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, Gongda Li, Nan 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, Fengjuan Li, Monica M 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, Wen-Ting Li, Guohua Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Yijie Li, Weiguo Li, Xue-Nan Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Jianang Li, Xue-Peng Li, Qing Li, Jiaping Li, Sheng-Tien Li, Yazhou Li, Shihao Li, Jun-Ling Li, Caesar Z Li, Weiyang Li, Feng Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Kaibo Li, Xinxiu Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Meng-Hua Li, Shaodan 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, Donghe Li, Ming-Hao 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, Xianrui Li, Lan-Juan Li, Dong Sheng 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, Longyu Li, Jinku Li, Guiying Li, X B Li, Zhisheng Li, Changgui Li, Cuiling Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Kai-Wen Li, Suwen Li, Peihua Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying Li, Chunhui Li, Tongyao Li, Peiyu Li, Lian Li, Linfeng Li, Xinmiao Li, Yuzhe Li, Chenyang Li, Jiacheng Li, Qifang Li, Xiaohua Li, Chang-Yan Li, Vivian Li, Duanxiang Li, Xiaolin Li, Justin Li, Meiting 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, 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, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan 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, Zhengrui Li, Rumei Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinqin Li, Qinghua Li, Lipeng Li, Leilei Li, Defu Li, Ranchang 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, Shen Li, Ziqi 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, Xu Li, Pinghua 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, 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, Zhijie Li, Meng 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, Weiling Li, Mengfan Li, Jie Li, Shiyan Li, G Li, Lianbing Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Xiong Bing Li, Hanqin Li, Wen Lan Li, Qingjie 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, Michelle Li, Caolong Li, Chaojie Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Guangdi Li, Peipei Li, Tian-Yi Li, Xiaxia Li, Nien Li, Yuefeng 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, S L Li, Mengqing Li, Ben-Shang Li, Ming-Kai Li, Shunqing Li, Xionghao 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, Hongguo Li, Yong-Jian Li, Le 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, Wei-Dong Li, Guannan Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Ya-Feng Li, Wenlong Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shengli Li, Shugang 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, Zhenyan Li, H J Li, Ji Xia Li, Yu-Ye Li, Meizi 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, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao Li, Dongliang Li, Chenxiao Li, Yinzhen 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, Yunlun Li, Rongxia Li, Suran Li, Yuanfang Li, Yingqin 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, Caihong Li, Hongmin Li, Yajing Li, Peng Peng Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Jian-Jun Li, Dongmin Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Dazhi Li, Yubin 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, Chih-Chi Li, Hongbo Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Minghua Li, Xiyue Li, Jun Li, Zhuoran Li, Tianchang 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, Lai K Li, Jiong 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, Yuling Li, Ding Li, Wendeng Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Linyan Li, Yanjun Li, Ming-Yang Li, Shengze 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, 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, Bingxin Li, Mengjiao Li, Wenjuan Li, Meng-Meng Li, Wenyu Li, Chia-Yang Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Ming D Li, Chenguang Li, Xujun Li, Ruyue Li, Chi-Ming Li, Xiaolian Li, Yi-Ning Li, Dandan Li, Yunan Li, Zechuan Li, Zhijun Li, Jiazhou Li, Sherly X Li, Wanling Li, Ya-Ge Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Lixia Li, Zhiwei Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, Jingui Li, Bingsheng Li, Yaqiao Li, Huamao Li, Xiankun Li, Jingke Li, Xiaowei Li, Tianyao Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Haoran Li, Hai-Yun 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, Jialun Li, Xinjian Li, Rui Li, Zilu Li, Xuemin Li, Sheng-Fu Li, Zezhi 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, Wei-Li Li, Keanning 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, Luyao Li, Chun-Xu 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, Hengtong Li, Ling-Zhi Li, Yifan Li, Ya-Li Li, Xiao-Sa Li, Songyun Li, Xiaoran Li, Bolun Li, Kunlin Li, Linchuan Li, Jiachen Li, Shu-Qi Li, Haibin Li, Huangbao Li, Zehua Li, Guo-Chun Li, Xinli Li, Mengyuan Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Wensheng Li, Dehai 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, Yanli Li, Zhi-Yuan Li, Hai Li, Yuemei Li, Jingfeng 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, Baosheng Li, Zhonglian 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, Zijian Li, Jixuan Li, Yanqing Li, Zhandong Li, Xuejie Li, Congjiao Li, Meng-Jun Li, Peining 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, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Cuiguang Li, Qun Li, Tianye 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, Shikang Li, Wei-Yang 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, Shilin Li, Shunle Li, Niu Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Meiqing Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Zonglin Li, Yinhao 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, Junhong Li, Youchen Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, L P Li, Xiaoqin 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, Haiyu Li, Huijuan 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, Fengyuan Li, Guixia 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, Xiaotian Li, Zhenguang Li, Shuhui Li, Jia-Ru Li, Chun-Xiao Li, Shu-Hong Li, Pei-Qin Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Dali Li, Duo Li, Yaxian Li, Zhiming Li, Xuemei Li, Hongxia Li, Yongting Li, Xueting Li, Danyang Li, Zhenjun Li, Ren Li, Tiandong Li, Hongye Li, Lanfang Li, Di-Jie Li, Mingwei Li, Bo Li, Jinliang Li, Wenxin Li, Qiji Li, W J Li, Zhijia Li, Zhipeng 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, Yaojia Li, Shujiao Li, Kun-Ping Li, Xiao-Yao Li, Weirong Li, Weihua Li, Shangming Li, Yibo Li, Yaqi Li, Gui-Hua Li, Zhihong Li, Runzhao Li, Yandong 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, Joyce Li, Jun Z Li, Suheng Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Junru Li, Zhiqiang Li, Hecheng Li, Jiangchao Li, Changkai Li, Yueping Li, Haifeng Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, Yunman Li, Chaoqian Li, Shuhua Li, Yu-Cheng Li, Yirun Li, Chunying Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, YiQing Li, Zhengliang Li, Han-Ru Li, Weijie Li, Sheng Li, Wei-Qin Li, Guoyin Li, Yaqiang Li, Zongyi Li, Qingxian Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Chengjun Li, Keke Li, Yongpeng Li, Chanyuan Li, Jianbin 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, Shibao Li, Shuying Li, Pengjie Li, Xiaomei Li, Ruijin Li, Kunlong Li
articles
Annie Li, Hannah M Klinger, Mabel Seto +24 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Women show higher levels of Alzheimer's disease (AD) pathology than men, but the implications for cognitive decline remain unclear. Determining the extent to which tau burden differentially accelerate Show more
Women show higher levels of Alzheimer's disease (AD) pathology than men, but the implications for cognitive decline remain unclear. Determining the extent to which tau burden differentially accelerates cognitive decline in men and women will provide critical insights into sex-specific pathways of disease progression. We leveraged tau positron emission tomography (PET), amyloid beta (Aβ) PET, apolipoprotein E (APOE) ε4 genotyping, and longitudinal cognitive data over approximately 8.6 (standard deviation [SD] = 3.8) years from 1007 cognitively unimpaired adults across three cohorts. Cognitive trajectories were modeled with linear mixed-effects regression including sex × tau × time interactions, and results were synthesized using random-effects meta-analysis. Higher tau burden in medial and lateral temporal regions was associated with faster cognitive decline in women than in men. High tau burden carries a disproportionately greater cognitive cost for women, underscoring the need for sex-specific approaches to early detection and therapeutic intervention in AD. A meta-analysis across three independent cohorts shows that female cognitive advantage at low tau shifts to vulnerability at higher tau. Sex differences in tau-related cognitive decline were consistent after accounting for amyloid burden. Sex-specific rates of cognitive decline should be considered in clinical trial design. Show less
📄 PDF DOI: 10.1002/alz.71031
APOE
Liping Han, Ke Li, Xinyu Qiu +4 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
The combination of Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma (Baizhu-Cangzhu, BC) is a commonly used couplet medicine suitable for strengthening spleen function in the clinic. The co Show more
The combination of Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma (Baizhu-Cangzhu, BC) is a commonly used couplet medicine suitable for strengthening spleen function in the clinic. The combination of BC originates from the ancient Chinese medical text Zhang's Medical Expert. Ancient Chinese doctors often used a combination of these two drugs or their different processed products to supplement the spleen and resolve dampness and treat hyperlipidemia (HLP). However, no further research has been conducted on the characteristics of the effects of different combinations of its raw drug and processed products. The present study aimed to elucidate the regulatory effect of raw BC, stir-frying BC with bran, and their different combinations on HLP and the therapeutic characteristics of each sample, and promote their application in the treatment of HLP and related diseases. A HLP model was induced by feeding mice with a high-fat diet (HFD) for six weeks. Serum biochemical indicators levels were measured using a fully automatic blood biochemistry analyzer. HE staining was used to observe the pathological changes of liver and small intestine tissues, Oil-Red O staining and Masson staining was used to observe the lipid and collagen deposition in the liver tissue, respectively. The levels of inflammatory cytokines, gastrointestinal hormones, and lipid metabolism-related indicators in the serum were detected by ELISA. The expression of aquaporins (AQPs) in liver tissues and MUC2 in small intestinal tissues were detected by immunohistochemistry. The protein expression levels of AQPs in liver tissues and tight junction proteins in small intestinal tissues were measured by Western blotting. The expression and localization of ZO-1 protein in small intestinal tissues were detected by immunofluorescence. The BC group significantly reduced serum TC and LDL-C levels (P < 0.005). FBFC treatment lowered serum AST levels (P < 0.05) and increased CETP and PLTP levels (P < 0.05). IL-6 and AQP9 levels were reduced in all treatment groups (P < 0.05). In liver tissue, AQP3 expression was upregulated in the BC and FBC groups, while AQP8 expression increased in the BFC and FBC groups (P < 0.05). In small intestine tissue, AQP3 expression was elevated in the BC and BFC groups, and AQP8 was increased in the BFC, FBC, and FBFC groups (P < 0.05). ZO-1 expression was enhanced in the BFC, FBC, and FBFC groups, while Claudin-1 expression was higher in the BC and FBFC groups (P < 0.05). MUC2 expression was increased in the FBFC group (P < 0.05). Our findings demonstrated that BC, stir-frying BC with bran, and their various combinations exert distinct therapeutic characteristics in improving spleen deficiency and lowering lipid levels in HFD-induced HLP mice. The raw products showed stronger lipid-lowering effects, whereas the processed products were more effective in improving liver enzyme profiles, regulating gastrointestinal hormones, and repairing intestinal barrier dysfunction. Show less
no PDF DOI: 10.1016/j.jep.2026.121314
CETP
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
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
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
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
Shengfei Zhong, Shoulun He, Junjie Chen +8 more · 2026 · Journal of natural products · ACS Publications · added 2026-04-24
Seven undescribed filicinic acid-based meroterpenoids, hyperjaponiones A-G (
no PDF DOI: 10.1021/acs.jnatprod.6c00131
BACE1
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
Meijing Liu, Shuang Li, Jiawei Yao +1 more · 2026 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Postmenopausal metabolic syndrome and its associated liver injury have attracted considerable research interest, yet their underlying mechanisms and treatment strategies remain insufficiently elucidat Show more
Postmenopausal metabolic syndrome and its associated liver injury have attracted considerable research interest, yet their underlying mechanisms and treatment strategies remain insufficiently elucidated. This study aimed to investigate the relationship between aberrant lipid metabolism and hepatic injury in ovariectomized (OVX) females and to evaluate the therapeutic potential of ingenol (Ing), a natural diterpenoid, via the SIRT1-LXRα signaling pathway. Data from 3047 females in NHANES (2017-2020) were analyzed to compare serum triglyceride (TG) and liver injury markers between OVX and non-OVX women. An OVX mouse model was established to examine hepatic lipid metabolism and SIRT1 expression. Molecular docking, dual luciferase assays, and SIRT1 silencing were performed to evaluate Ing-SIRT1 binding and regulation. HepG2 cells were used to assess Ing's effects on lipid levels and expression of LXRα, CYP39A1, CPT1, and ACOX1. In vivo studies in OVX mice confirmed the therapeutic effects of Ing and further investigated its mechanism via the SIRT1-LXRα pathway. NHANES data indicated that OVX women had significantly higher serum TG levels and more severe liver injury. OVX mice exhibited downregulated SIRT1 expression and disrupted lipid homeostasis. Ing showed high binding affinity to SIRT1, outperforming several known agonists. In HepG2 cells, Ing reduced intracellular TG and total cholesterol (TC), while upregulating LXRα, CYP39A1, CPT1, and ACOX1. In OVX mice, Ing treatment notably attenuated weight gain, reduced TG and TC levels, and ameliorated liver histopathological damage. These effects were mediated through the SIRT1-LXRα pathway. Ing effectively mitigates OVX-induced liver injury by activating SIRT1 and modulating downstream LXRα-mediated lipid metabolic pathways. These results support Ing as a promising therapeutic candidate for liver injury in postmenopausal or OVX women. Show less
no PDF DOI: 10.1002/ptr.70195
NR1H3
Lili Zhang, Yujie Yang, Wei Yuan +7 more · 2026 · Research (Washington, D.C.) · added 2026-04-24
📄 PDF DOI: 10.34133/research.1052
APOE
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
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
Yaqun Fang, Zhiye Zhang, Qiqi Cao +20 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context Show more
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context, we investigated whether the circulating LL-37-ApoB-100 complex could serve as a biomarker for CAD. We performed surface plasmon resonance and protein-protein docking to demonstrate the direct LL-37-ApoB-100 interaction. We developed a specific polyclonal antibody against the complex and measured its levels in human atherosclerotic plaques and plasma, as well as in We identified that LL-37 directly interacted with multiple distinct binding sites on ApoB-100. Plasma levels of LL-37-ApoB-100 complex were significantly elevated in human patients with atherosclerosis. Consistently, levels of this complex were positively correlated with atherosclerotic plaque area in Circulating LL-37-ApoB-100 levels are strongly associated with angiographically documented CAD, highlighting LL-37-ApoB-100 as an independent predictor for CAD. Show less
no PDF DOI: 10.1161/ATVBAHA.125.323486
APOB
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
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
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
Karleena Rybacki, Emily Na Young Cha, Hannah M Deutsch +7 more · 2026 · bioRxiv : the preprint server for biology · added 2026-04-24
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diag Show more
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diagnosis, GF detection largely relies on targeted short-read sequencing fusion panels, such as the Children's Hospital of Philadelphia (CHOP) Fusion Panel (FUSIP). While these panels are effective for detecting recurrent, well-characterized GFs, they are limited to predefined gene sets and cannot identify full-length transcripts. Here, we analyzed 49 high- and low-grade gliomas previously classified as fusion-negative by FUSIP using an untargeted whole-transcriptome RNA sequencing approach with Oxford Nanopore Technologies (ONT) long-read sequencing. This enabled transcriptome-wide fusion discovery of additional known and potentially novel oncogenic GFs beyond panel constraints. Long-read sequencing further allowed direct resolution of full-length fusion transcripts and their associated isoform structures. By integrating GF detection with isoform-level transcript analysis, we identified fusion-associated transcript isoforms with alternative splicing patterns that aligned near reported GF breakpoints, including Show less
📄 PDF DOI: 10.64898/2026.03.13.711117
APOE
Wenjie Li, Chen Li, Xing Li +1 more · 2026 · The aging male : the official journal of the International Society for the Study of the Aging Male · Taylor & Francis · added 2026-04-24
Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. We screened genetic instruments rela Show more
Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. We screened genetic instruments related to the gut microbiota and paired them with PCa genome-wide association study data to conduct Mendelian randomization (MR) analysis. Positive MR findings were then subjected to colocalization analysis. Subsequently, we utilized the Gene Expression Omnibus (GEO) dataset to perform differential expression analysis, aiming to identify differentially expressed associated genes (DEAGs). We determined the importance scores of these DEAGs through four machine learning models and constructed a nomogram based on these findings, and then validated it in another group of the GEO dataset. MR analysis found 16 gut bacteria causally linked to PCa (7 risk, 9 protective), with 144 related genes. PLCL1, VSNL1, ROR2, NRXN3, and TEAD1 were identified as feature genes for constructing a nomogram that provides a quantitative prediction of the risk of PCa onset. This study indicates that there are causal links between the gut microbiota and PCa. Feature genes may affect the occurrence of PCa by inhibiting the epithelial-mesenchymal transition, proliferation, migration, and invasion of cells. Show less
no PDF DOI: 10.1080/13685538.2026.2615561
NRXN3
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
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
Yinhu Tan, Hang Li, Shuangxin Zhang +5 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-inte Show more
Frailty is associated with increased risks of falls, disability, hospitalization, and mortality. The 24-h movement behaviors (24HMB) framework conceptualizes sleep, sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) as mutually constrained components of daily time use and may inform frailty prevention and management. This scoping review maps evidence on associations between 24HMB and frailty and identifies methodological gaps to inform future research and nursing practice. This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and follows Joanna Briggs Institute (JBI) guidance. We searched PubMed, Embase, CINAHL, and Web of Science. We included observational studies of adults aged ≥18 years. Exposures were objectively measured or validated self-reported sleep, SB, LPA, and MVPA, including step counts, breaks in SB, isotemporal substitution models (ISM), and compositional data analysis (CoDA). Outcomes were frailty or prefrailty assessed using validated instruments. Quality was appraised with JBI tools. Thirty-three studies showed good methodological quality. Longer SB, particularly prolonged, uninterrupted bouts, was associated with higher frailty. Greater MVPA was consistently associated with lower frailty. Light-intensity physical activity was generally beneficial but often attenuated when MVPA or total activity volume was modeled. Sleep fragmentation and poor sleep quality were associated with frailty. Isotemporal substitution models and compositional data analysis indicated that reallocating sedentary time to MVPA would yield the largest theoretical benefit, followed by reallocating to LPA. Higher daily step counts and more frequent or higher-intensity breaks in SB were associated with lower frailty. Evidence supports a 24-h integrated movement-behavior approach centered on MVPA, combined with reducing prolonged SB and improving sleep quality, for the prevention and nursing management of frailty. The study design and analytical protocol were prospectively registered on the Open Science Framework (OSF). The unique identifier is S39Y4, and the publicly accessible URL is https://doi.org/10.17605/OSF.IO/S39Y4. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1780746
LPA
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
Qi Fang, Xinyao Liu, Wei Huang +4 more · 2026 · Journal of food science · Blackwell Publishing · added 2026-04-24
Docosahexaenoic acid (DHA), one of the most critical polyunsaturated fatty acids, is vital for the neurological growth and cognitive function of infants and children. Approximately 98% of DHA in breas Show more
Docosahexaenoic acid (DHA), one of the most critical polyunsaturated fatty acids, is vital for the neurological growth and cognitive function of infants and children. Approximately 98% of DHA in breast milk exists as triglycerides, with 60% esterified at the sn-2 position. To demonstrate the necessity of mimicking the form of DHA present in breast milk in nutritional food for young children, this study administered diets with varying sn-2 DHA contents (10%, 30%, and 50%) to four groups of mice and analyzed their behavioral performance, brain DHA concentration, expression of brain fatty acid transport proteins, histopathology, and expression of synaptic-related proteins in the hippocampus after 4 weeks. The results showed that compared with the control group, mice in the 50% sn-2 DHA group exhibited superior learning and memory capabilities in behavioral tests, with the most pronounced behavioral improvements in mice, which correlated with higher brain DHA accumulation (from 0.870 ± 0.055 mg/g brain to 1.809 ± 0.132 mg/g brain, p < 0.05), increased levels of MFSD2A (1.40-fold, p > 0.05), FABP5 (2.36-fold, p < 0.05), FATP1 (1.47-fold, p < 0.05), and ACSL6 (1.48-fold, p < 0.05), improved hippocampal neuron morphology, and enhanced the level of BDNF (1.55-fold, p < 0.05), SYN (1.45-fold, p < 0.05), and PSD-95 (1.57-fold, p < 0.05). These findings establish a foundation for developing DHA nutritional supplements. Show less
no PDF DOI: 10.1111/1750-3841.70646
BDNF cognitive function cognitive performance dietary triglyceride docosahexaenoic acid fatty acids neurological growth polyunsaturated fatty acids
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
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
Jiaomei Li, Kaixin Pan, Yuxuan Zhang +8 more · 2026 · Scientific reports · Nature · added 2026-04-24
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial Show more
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials. The online version contains supplementary material available at 10.1038/s41598-026-40028-1. Show less
📄 PDF DOI: 10.1038/s41598-026-40028-1
APOB
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
Guogang Xin, Jiaqian Xu, Ling Jiang +5 more · 2026 · BMC psychology · BioMed Central · added 2026-04-24
Improved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet a Show more
Improved internet access has exposed rural adolescents in China to a greater risk of internet addiction. However, existing studies seldom examine the relationship between dynamic changes in internet addiction and psychosocial maladjustment. This study aims to explore the transition patterns of internet addiction and its associations with emotional and interpersonal problems over time. A one-year longitudinal survey was conducted among 782 middle school students in rural China. Latent Profile Analysis (LPA) was conducted to identify internet addiction profiles at two time points. Latent Profile Transition Analysis (LPTA) was then used to examine the transition patterns between profiles over time. Subsequently, statistical analyses were conducted to explore how these transitions were associated with emotional and interpersonal problems. Three profiles of internet addiction were identified: minimal-internet addiction, low-internet addiction, and high-internet addiction. Based on LPTA, most adolescents with higher internet addiction at T1 shifted to lower-severity profiles over time (high → minimal: 35.3%; low → minimal: 39.8%; high → low: 33.3%), while some with initially lower levels transitioned to more severe profiles (minimal → high: 6.9%; low → high: 12.2%; minimal → low: 25.7%). Transition into higher addiction profiles predicted increased depression, anxiety, and poorer relationships with parents, peers, and teachers. Conversely, reductions in addiction were linked to improved depressive symptoms. Changes in internet addiction have an impact on adolescent psychosocial maladjustment. Early detection and flexible interventions are essential in rural settings. Show less
📄 PDF DOI: 10.1186/s40359-026-03992-x
LPA
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