👤 Fei Li

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Also published as: Xiaofeng Li, Jingwen Li, Jiajia Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, 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, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, X Y Li, Peilin Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Guanglve Li, Z Li, Ye 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, Zhi-Peng Li, Lanzhou Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Siming Li, Wenzhe Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Xueyang Li, Fa-Hui Li, Caiyu Li, Xuelin 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, 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, 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, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Yongli Li, Z-H Li, Baohong Li, Hujie Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Wen-juan Li, Hualing Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Huanan Li, Liqin Li, Jingya 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, Wenbo Li, Runwen 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, Qin Li, Zhongyu 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, Xiaobing Li, Naishi 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, 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, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, YiPing Li, Tian Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Minhui Li, Yu Li, Yvonne Li, Yiwei Li, Xiangzhe Li, Zhichao Li, Jiayuan Li, Minglun Li, Yige Li, Siguang Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chiyang Li, Chunlan Li, Hulun Li, Juan-Juan Li, Hailong Li, Hua-Zhong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Zijing Li, Dengke Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, Dong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Panyuan Li, Gang Li, Ziyu Li, Mengxuan 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, 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, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Fengxia Li, Guangxiao Li, Peixin Li, Xueqin Li, Feng-Feng Li, Zu-Ling Li, Jialing Li, Xin Li, Yunjiu Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, 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, Yanxi Li, Wan-Xin Li, Xia Li, Yongjing Li, Meitao Li, Huayao Li, Ziqiang Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Huixue Li, Jiqing 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, 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, Zhen-Hua Li, Yiliang Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Youming Li, Mi Li, Dong-Yun Li, Qingrun 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, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, 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, 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, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Yuqiu Li, Bin-Kui Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Hongyi Li, Xiang-Jun 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, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Deheng Li, Si-Xing Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Gao-Fei Li, Minghao Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Nan-Nan Li, Chanjuan 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, Guisen Li, Yuandong Li, Jinglin Li, Dongyang Li, Honglong Li, Mingfang 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, Cheng-Tian Li, Jin-Jiang Li, Zhi-Xing Li, Chang Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong Li, Jiwei Li, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Lixiang Li, Tian-wang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, 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, Xuri Li, Wenzhuo Li, Y 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, Xiaoju Li, Ting Li, Zhenyu Li, Xiaonan Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Xunjia Li, Yanchang Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Hongxue Li, Bingjie Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Chunya Li, Zong-Xue Li, En-Min 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, Kaiwei Li, Jie-Shou Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Yu-Sheng Li, Junxin 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, Xueying 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, Shujing 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, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Yangxue Li, Danni Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Zhenzhou Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Zesong Li, Yutong Li, Xiangpan Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, 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, 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, Xionghui Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Kang Li, Hongmei 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, Xue-Nan Li, Yijie Li, Weiguo 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, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Yazhou Li, Shihao Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Kaibo Li, Xinxiu 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, Yuwei Li, Yangyang 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, Jianlin Li, Yanshu Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Longyu Li, Jinku Li, Guiying 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, Tongyao Li, Peiyu Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Chang-Yan Li, Qifang Li, Xiaohua 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, Leyao Li, Wei-Bo Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xinke Li, Xiaokun Li, Ming-Wei Li, Wenfeng Li, Minzhe 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, 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, 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, Ziqi Li, Tianjiao Li, Shen Li, Gui-Rong Li, Yunfeng Li, Shufen Li, Yueqi Li, Yunpeng Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Zhibin Li, Yaxiong 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, Mingzhou Li, Taixu 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, Cong Li, Yinghui 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, 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, Chaojie Li, Caolong Li, Michelle Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Guangdi Li, Peipei Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Tiansen Li, Zheyun Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Mengqing Li, S L Li, Hong-Lan 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, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Yingxi Li, Caili Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Ya-Feng Li, Wenlong 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, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Ningyang Li, Zhongxia Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Xuefei Li, Guojun Li, Senlin Li, Hung Li, Jinping Li, Sainan Li, Huili Li, Jinghui Li, Zulong Li, Chengsi Li, Hongzhe K Li, P 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, Gan Li, Shichao 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, Shuang-Ling Li, Zhong 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, 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, Xueling Li, Qiao 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, Suran Li, Yunlun Li, Rongxia Li, Yuanfang Li, Yingqin Li, Guoqin Li, Qiner Li, Huiqin Li, Jiafang Li, Shanhang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Caihong Li, Hongmin Li, Peng Peng Li, Yajing 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, Di Li, Fengqiao 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, Jun Li, Minghua Li, Xiyue Li, Tianchang Li, Zhuoran Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Hongjuan Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, 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, Yanjun Li, Ming-Yang Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Ji-Lin Li, Congcong Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Jinfeng Li, Wen Li, Shiheng Li, Jiangan Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Chia-Yang Li, Tianxiang Li, Meng-Meng Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Wenlei Li, Xi-Xi Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Ming D Li, Chenguang Li, Xujun Li, Ruyue Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zhijun Li, Sherly X Li, Zechuan Li, Jiazhou Li, Ya-Ge Li, Wanling Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Zhiwei Li, Lixia 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, Bingsheng Li, Jingui 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, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Zhixiong Li, Chumei Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Zilu Li, Rui Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Xuyi Li, Binghua Li, Hanjun Li, Yunchu Li, Jin-Qiu Li, Qihua Li, Zhengyao 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, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Weike Li, Desheng Li, Chuanbao Li, Long-Yan Li, Zhixuan 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, Kunlin Li, Bolun 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, Qingshang Li, Jiannan Li, Guanbin Li, Zhiyi Li, Hanbin Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, Huanhuan Li, Xiaoyuan Li, Yanan Li, Zongfang Li, Yang Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, BoWen Li, Duoyun Li, Dongdong Li, Yimei Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Zhi-qiang Li, Shaojing Li, S S Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Tong Li, Lihua Li, Yilong Li, Xue-Lian Li, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Hai Li, Yuemei Li, Yanli Li, Jingfeng Li, Zhi-Yuan Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Mengjuan Li, Xiao-Hong Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Zhonglian Li, Baosheng Li, 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, Zijian Li, Yanqing Li, Zhandong Li, Xuejie Li, Peining Li, Congjiao Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Keshen Li, Kechun Li, Nianyu Li, Chenlu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Qun Li, Tianye Li, Cuiguang Li, Zhen Li, Chunhong Li, F Li, Yuan 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, Hong-Lian Li, Shishi Li, Bei-Bei Li, Haitong Li, Xiumei Li, Ruibing Li, Melody M H 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, Huiyou Li, Ka Wan Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Gui-xing Li, Yu-Hao Li, Shilin Li, Niu Li, Shunle Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, Meiqing Li, Zhuanjian Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Junhong Li, Youchen Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Chunmei Li, Runbing 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, Kainan Li, Guohui Li, Yongzhe Li, Qingfeng Li, Xiaoyan Li, Tianyi Li, Nanlong Li, Ping Li, Xu-Bo Li, Fangzhou Li, Nien-Chen 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, Junyi Li, Kaiyi Li, Dongtao Li, Wenqun 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, Zhenguang Li, Xiaotian Li, Jia-Ru Li, Shuhui Li, Shu-Hong Li, Chun-Xiao Li, Pei-Qin Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Duo Li, Dali Li, Yaxian Li, Zhiming Li, Xuemei Li, Hongxia Li, Yongting Li, Xueting Li, Danyang Li, Zhenjun Li, Ren Li, Tiandong Li, Lanfang Li, Hongye Li, Di-Jie Li, Mingwei Li, Bo Li, Jinliang Li, Wenxin Li, Qiji Li, W J Li, Zhipeng Li, Zhijia Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaobo Li, Xiaoting Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, 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, Xiufeng Li, Yanxin Li, Yingjun Li, Xiaohuan Li, Boya Li, Ying-Qin Li, Lamei Li, O Li, Fan Li, Jun Z Li, Joyce Li, Suheng Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Junru Li, Zhiqiang Li, Hecheng Li, Jiangchao Li, Yueping Li, Haifeng Li, Changkai 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, Chunying Li, Yirun Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, Zhengliang Li, YiQing Li, Han-Ru Li, Wei-Qin Li, Weijie Li, Sheng Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, Chanyuan Li, Jianbin Li, 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, Hanxiao Li, Jiahao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Pengjie Li, Xiaomei Li, Ruijin Li
articles
Yichen Zhang, Lin Sun, Fang Li +2 more · 2026 · Cellular signalling · Elsevier · added 2026-04-24
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing Show more
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing to its lipid-regulating and anti-inflammatory effects, paeoniflorin (Pae) inhibits VSMC phenotypic transformation, making it a promising candidate for AS treatment. Mouse aortic VSMCs were treated with oxidized low-density lipoprotein (ox-LDL) and Pae, and the effects on cell phenotype were examined. An AS model was established by feeding ApoE Pae reversed weight gain and elevated TG levels in the AS model. Oil Red O staining showed that Pae inhibited VSMC-derived foam cell formation in vitro and reduced aortic sinus plaque area, aortic wall lipid deposition, and hepatic steatosis in the AS model. Immunofluorescence staining of the aortic sinus revealed that Pae mitigated α-SMA overexpression and reversed ATP-binding cassette transporter A1 (ABCA1) downregulation. Western blotting analysis revealed that Pae inhibited ERK1/2 and p65 phosphorylation, curbed MMP2 overexpression, and restored downregulated ABCA1 expression. Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, and wound healing assays demonstrated that Pae inhibited ox-LDL-induced VSMC proliferation and migration. Additionally, Pae significantly inhibited the expression of the inflammatory factors IL-6 and MCP-1 both in vivo and in vitro. Pae may treat AS by inhibiting VSMC phenotypic transformation. Show less
no PDF DOI: 10.1016/j.cellsig.2026.112477
APOE
Zhanyi Zhang, Jiaqi Lian, Zhiyun Zhang +6 more · 2026 · Burns : journal of the International Society for Burn Injuries · Elsevier · added 2026-04-24
Hypertrophic scar (HS) represents a skin fibroproliferative disease characterized by a high incidence, frequent recurrence, and limited treatment options. Thus, identifying new targets to optimize the Show more
Hypertrophic scar (HS) represents a skin fibroproliferative disease characterized by a high incidence, frequent recurrence, and limited treatment options. Thus, identifying new targets to optimize the treatment of HS is of critical importance. Using summary statistics from the eQTLGen Consortium, Decode database, and FinnGen cohort, we conducted transcriptome-wide and proteome-wide Mendelian randomization (MR) to discover potential pharmacological targets against HS, with subsequent validation via RNA sequencing. Upstream regulators and downstream mechanisms were further investigated to better understand the roles of the pathogenic gene. Drug prediction, molecular docking, and molecular dynamics (MD) simulation were employed to estimate the value of potential drugs for HS. A high level of fibroblast growth factor receptor 1 (FGFR1) significantly increased the risk of HS according to transcriptome-wide (P = 0.011) and proteome-wide MR (P = 0.002) analyses. RNA-seq further validated the high expression of FGFR1 in HS. Gene-gene interaction network and enrichment analysis identified FGFR1 as the core gene driving the progression of HS, highlighting multiple biosynthetic processes. Pharmacological evaluation of candidate drugs predicted stable binding between Ro-4396686 and FGFR1. Our findings suggest that FGFR1 can serve as promising target for optimizing HS treatments, potentially reducing the costs of drug development. Show less
no PDF DOI: 10.1016/j.burns.2026.107919
FGFR1
Haojie Ni, Yiyi Xiong, Min Liu +14 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid ex Show more
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid extracted from the traditional Chinese medicine Qingfengteng (Sinomenium acutum). The anti-inflammatory, antioxidant, and immunomodulatory effects of SIN were confirmed to be closely associated with the α7nAChR. This study aimed to investigate whether α7nAChR serves as a pharmacological target of SIN against AD, and to evaluate the neuroprotective effects of SIN both in vivo and in vitro, focusing on the α7nAChR/Nrf2/Keap1 signaling pathway. In this study, the effects of SIN in both APP/PS1 transgenic mice and SH-SY5Y cells subjected to Aβ1-42-induced injury were assessed. The selective antagonist α-bungarotoxin ‌(α-BTX), the agonist nicotine (Nic) of α7nAChR, and α7nAChR siRNA were employed. The cognitive function, Aβ deposition, synaptic plasticity markers, the tau protein phosphorylation, mitochondrial membrane potential, oxidative stress and the α7nAChR/Nrf2/Keap1 signaling pathway were analyzed in vivo and/or in vitro. SIN significantly enhanced learning and memory abilities in APP/PS1 mice, reduced Aβ plaque deposition and synaptic dysfunction, and inhibited hyperphosphorylation of tau protein and oxidative stress in the brain. In Aβ1-42-induced neuronal injury model, SIN alleviated apoptosis, increased BDNF and ACh levels, inhibited mitochondrial damage, stabilized calcium homeostasis, and suppressed oxidative stress. Meanwhile, SIN disrupted Nrf2-Keap1 binding to promote the Nrf2/HO-1 signaling pathway. Nevertheless, SIN effects above were inhibited by α-BTX. The knockdown of α7nAChR in vitro significantly promoted Nrf2/HO-1 pathway and BDNF expression. SIN exerts neuroprotective effect in APP/PS1 transgenic mice and Aβ1-42-induced neuronal injury by inhibiting oxidative stress via α7nAChR/Nrf2/Keap1 pathway. This study provides evidence for α7nAChR as a new target and the clinical application potential of SIN in AD treatment. Show less
no PDF DOI: 10.1016/j.phymed.2026.157779
BDNF alzheimer's disease antioxidant inflammation neuroprotection oxidative stress pathology sinomenine
Xue Li, Feng Zhang, Hanxu Zhu +5 more · 2026 · Microbiology spectrum · added 2026-04-24
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth fact Show more
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth factor 21 (FGF21) in the development and progression of chronic hepatitis B (CHB). A total of 336 participants were recruited, including 320 CHB patients and 16 healthy controls. The expression of FGF21, immune cytokines, and OS-related molecules in peripheral blood mononuclear cells (PBMCs) was detected using real-time quantitative polymerase chain reaction. The methylation level of the FGF21 gene promoter in PBMCs was detected using TaqMan probe-based quantitative methylation-specific PCR. The expression level of FGF21 in the peripheral blood of CHB patients was higher than that of HC, but the methylation level of the FGF21 promoter was lower than that of HC, especially in patients during the immune activation phase. The mRNA expression levels of CXCR3 and CCL5 in PBMCs of CHB patients during the immune activation and reactivation phases were higher than those in other clinical stages. Single-cell analysis revealed that CXCR3 and CCL5 expression in the immune tolerance and immune activation phases with high HBsAg expression was closely related to T lymphocytes (T cells) and natural killer cells (NK cells) and was highly expressed in CD4 and CD8 T cells and NK cells. In addition, the mRNA expression levels of Nrf2 and GPX4 in the reactivation phase were higher than those in other clinical stages. The mRNA expression level and methylation level of FGF21 in PBMCs of CHB patients were correlated with the viral load, immune inflammation, and OS levels during the antiviral treatment course of CHB. The methylation level of the FGF21 promoter has the potential to become a non-invasive biomarker for monitoring the progress of antiviral treatment in CHB.IMPORTANCEThis study conducted an in-depth exploration of the application of methylation detection technology, analyzing its value and driving mechanism in the oxidative stress and immune-inflammatory balance during the course of chronic hepatitis B. The study analyzed the methylation patterns of the FGF21 promoter and the expression levels of its receptor FGFR1, as well as the expression levels of chemokines CXCR3, CCL5, and oxidative stress factors GPX4 and Nrf2 in the immune tolerance period, immune clearance period, immune control period, and reactivation period of chronic hepatitis B. It clarified the association between these molecules and the FGF21/FGFR1 axis and revealed the synergistic or antagonistic mechanisms of these molecules in the oxidative stress and inflammatory vicious cycle. At the same time, this study also explored the value of FGF21 promoter methylation in disease diagnosis and prognosis, providing a theoretical basis for evaluating the antiviral treatment effect and disease progression of chronic hepatitis B. Show less
📄 PDF DOI: 10.1128/spectrum.02769-25
FGFR1
Zhiyuan Ning, Jeff Y L Lam, Zonghua Li +10 more · 2026 · Research square · added 2026-04-24
Cerebrospinal fluid (CSF) proteomics offers insights into molecular changes in aging and Alzheimer's disease (AD). Key AD biomarkers, in particular amyloid-β (Aβ) and tau, in CSF are strongly associat Show more
Cerebrospinal fluid (CSF) proteomics offers insights into molecular changes in aging and Alzheimer's disease (AD). Key AD biomarkers, in particular amyloid-β (Aβ) and tau, in CSF are strongly associated with Show less
📄 PDF DOI: 10.21203/rs.3.rs-8605807/v1
APOE
Anqi Cheng, Yinxi Zou, Linwen Liu +12 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
The apolipoprotein E ε4 (APOE ε4) allele is a major genetic risk factor for Alzheimer's disease, but its relevance to cognition in intracranial atherosclerosis (ICAS) remains unclear. We investigated Show more
The apolipoprotein E ε4 (APOE ε4) allele is a major genetic risk factor for Alzheimer's disease, but its relevance to cognition in intracranial atherosclerosis (ICAS) remains unclear. We investigated the association between APOE ε4 and cognition in ICAS. Baseline data from a multicenter cohort were analyzed. Patients with radiologically confirmed ICAS underwent APOE genotyping, plasma biomarker assays, magnetic resonance imaging assessment of cerebral small vessel disease (CSVD) and brain atrophy, and standardized cognitive testing. Among 409 patients (mean age 60 years, 55% male), 16% carried APOE ε4. Carriers showed more frequent cognitive impairment (63% vs 48%), greater stenosis burden, and lower plasma amyloid beta (Aβ)42/40 ratios, whereas other Alzheimer's biomarkers, CSVD burden, and atrophy scores showed no difference. After adjustment, APOE ε4remained associated with cognitive impairment (odds ratio [OR] 1.86). The association was pronounced in women (OR 4.43) but absent in men. APOE ε4 is linked to cognitive impairment in ICAS, particularly in women, through mechanisms beyond Alzheimer's pathology. In patients with ICAS, cognitive impairment was more prevalent in carriers than in non-carriers. Carriers showed greater stenosis burden and lower plasma Aβ42/40 ratios. After full adjustment (stroke, CSVD, and AD biomarkers), APOE ε4 remained associated with cognitive impairment. Female carriers had substantially higher odds of cognitive impairment. Show less
📄 PDF DOI: 10.1002/alz.71087
APOE
Lili Zhang, Yujie Yang, Wei Yuan +7 more · 2026 · Research (Washington, D.C.) · added 2026-04-24
📄 PDF DOI: 10.34133/research.1052
APOE
Heng Li, Yuhan Zhang, Qianqian Wang +12 more · 2026 · Journal of hazardous materials · Elsevier · added 2026-04-24
Precise toxicological mechanism of atherosclerosis (AS) induced by environmental hazardous substance nicotine exposure remains unclear, impeding its prevention strategies and antagonist development. A Show more
Precise toxicological mechanism of atherosclerosis (AS) induced by environmental hazardous substance nicotine exposure remains unclear, impeding its prevention strategies and antagonist development. Additionally, it is yet unknown whether Dendrobium officinale's active components can antagonize nicotine-induced AS. This study aimed to elucidate nicotine exposure-induced AS toxicological mechanisms and identify Dendrobium officinale's active components-derived antagonists. Firstly, using ApoE Show less
no PDF DOI: 10.1016/j.jhazmat.2025.140799
APOE
Zhijun Li, Qing Sun, Haoyu Li +7 more · 2026 · Schizophrenia (Heidelberg, Germany) · Nature · added 2026-04-24
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diag Show more
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant challenge. To address this issue, we utilized a combination of bioinformatics and machine learning (ML) to identify potential biomarkers for SCZ. Our approach involved the integration of 12 different ML algorithms to develop a diagnostic signature based on data from several datasets, including GSE18312, GSE27383, GSE38485, GSE54913, and GSE165604. A nomogram was constructed using these datasets for potential clinical applications. In addition, clustering analysis was performed on SCZ patients using consensus clustering and non-negative matrix factorization (NMF) algorithms. We further evaluated subtype differences in biological functions and immune cells through various methods, such as gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), Proteomaps, and IOBR analyses. Our results identified a diagnostic signature composed of 16 genes (APBB2, CLCN1, SYDE1, PAX5, SNAI1, DAZL, UNC93B1, PLAGL2, HS3ST1, ITPKB, PILRA, BTLA, SWAP70, AZI2, ADM, and AVPR2), which demonstrated robust performance in diagnosing SCZ across eight different datasets. A nomogram based on these genes was created, providing clinical benefits for SCZ patients. Among the identified genes, AZI2 was found to be the most critical, influencing inflammation and immunity. We also identified potential chemical compounds that could target these 16 genes. Unsupervised clustering and NMF algorithms revealed two distinct subtypes of SCZ, each associated with unique immune cell profiles, biological functions, and protein expression levels. In conclusion, this study not only developed a diagnostic signature and a novel nomogram for SCZ but also provided new insights into the subtypes of SCZ. These findings may pave the way for personalized diagnosis and treatment strategies for SCZ patients. Show less
no PDF DOI: 10.1038/s41537-026-00744-z
SNAI1
Li Li, Xiaoyan Chen, Jingke Li +4 more · 2026 · Blood advances · added 2026-04-24
Platelets must balance hemostatic function with pathological thrombosis, particularly under metabolic stress conditions. MAPKs are central to platelet responses, but how these platelet signals differe Show more
Platelets must balance hemostatic function with pathological thrombosis, particularly under metabolic stress conditions. MAPKs are central to platelet responses, but how these platelet signals differentially regulate hemostasis remains poorly understood. To investigate the role of Traf2/Nck-interacting kinase (TNIK), we generated megakaryocyte/platelet-specific TNIK knockout mice (Tnikf/fPF4-Cre+) and evaluated platelet function, hemostasis, and thrombosis under normal and hyperlipidemic conditions using chimeric Tnikf/fPF4-Cre+Apoe-/-mice fed high-fat diets. TNIK-deficient mice exhibited prolonged bleeding times, delayed arterial thrombosis and reduced platelet activation under normal conditions, primarily due to impaired dense granule secretion. Mechanistically, TNIK interacted with c-Jun N-terminal kinase interacting protein 1 to promote mixed lineage kinase 3/mitogen-activated protein kinase kinase 4/c-Jun N-terminal kinase pathway activation during hemostatic responses. Surprisingly, under hyperlipidemic conditions, TNIK deficiency accelerated thrombosis and enhanced platelet responses to oxidized low-density lipoprotein. In this context, TNIK specifically bound to protein kinase C ε and suppressed the NADPH oxidase 2/reactive oxygen species/extracellular signal-regulated kinase 5 pathway, thereby inhibiting excessive platelet activation. We conclude that TNIK functions as a molecular switch in platelets, promoting normal hemostasis while simultaneously preventing hyperlipidemia-associated thrombosis through distinct signaling pathways. This dual regulatory mechanism provides insight into how platelets balance hemostatic function with pathological thrombosis risk and identifies TNIK as a potential therapeutic target in metabolic thrombotic disorders. Show less
📄 PDF DOI: 10.1182/bloodadvances.2025017737
APOE
Yaojia Li, Yang Li, Xin Ye +1 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
This study employed a person-centered approach to identify latent profiles of academic burnout among Chinese university students and to examine the associations between academic burnout profiles and s Show more
This study employed a person-centered approach to identify latent profiles of academic burnout among Chinese university students and to examine the associations between academic burnout profiles and smartphone addiction, sleep quality, and mindfulness. A sample of 2,948 Chinese university students was recruited to complete measures of academic burnout, smartphone addiction, sleep quality, and mindfulness. Latent profile analysis (LPA) was used to identify distinct burnout profiles, and multinomial logistic regression was used to analyze factors associated with profile membership. Three distinct profiles of academic burnout were identified: a Low Burnout profile (18.15%), a Medium Burnout profile (50.88%), and a High Burnout profile (30.97%). The profiles differed significantly on all correlates, with the high burnout group exhibiting the most severe smartphone addiction, the poorest sleep quality, and the lowest mindfulness. Regression analysis revealed that higher smartphone addiction and poorer sleep quality were significantly associated with membership in the Medium and High Burnout profiles relative to the Low Burnout profile, whereas higher mindfulness was significantly associated with lower likelihood of belonging to higher burnout profiles. Academic burnout among Chinese university students is a heterogeneous experience, with a majority falling into an at-risk or intermediate state. Smartphone addiction, poor sleep, and low mindfulness are associated with higher burnout risk. These findings highlight the need for universities to develop targeted, profile-based interventions to provide precise and effective mental health support. However, due to the cross-sectional design, causal relationships cannot be inferred. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1701455
LPA
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
Huawen Yu, Jie Yu, Xiao Yang +7 more · 2026 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
To investigate the role of PINK1/Parkin-mediated mitophagy in regulating synaptic remodeling of neuronal cells in depression-like behaviors induced by nonylphenol (NP). In vitro experiments: HT-22 neu Show more
To investigate the role of PINK1/Parkin-mediated mitophagy in regulating synaptic remodeling of neuronal cells in depression-like behaviors induced by nonylphenol (NP). In vitro experiments: HT-22 neuronal cells were exposed to NP, and mitophagy and Parkin expression were inhibited using specific inhibitors. The cells were categorized into the following groups: (1) control (C) and low-dose NP group (L: 2.5 µM), medium-dose NP group (M: 50 µM), and high-dose NP groups (H: 100 µM); (2) control (C), NP (100 µM), Mdivi-1 (5 µM), and Mdivi-1 + NP (5 µM Mdivi-1 +100 µM NP) groups; (3) control (C), NP (100 µM), AC220 (2 nM), and AC220 + NP (2 nM AC220 +100 µM NP) groups. In vivo experiments: a total of 48 mice, including 24 C57BL/6 wild-type mice and 24 PKRK2 gene-knockout mice, were randomly assigned to the following four groups: control (C), NP (100 mg/kg/day), PKRK2-knockout (KO), and PKRK2-knockout + NP (100 mg/kg/day, KH) groups, with 12 mice in each group. In vitro: With increasing NP concentration, the ATP content reduced and the expressions of synaptic remodeling-related proteins (i.e., PSD-95, BDNF, SYN) decreased. In contrast, the expressions of mitophagy-related proteins and those involved in the PINK1/Parkin-signaling pathway (such as p62, Beclin1, PINK1, Parkin) increased (P < 0.05). Inhibition of mitophagy with Mdivi-1 alleviated the NP-induced changes in synaptic, mitophagy-related, and PINK1/Parkin pathway-related proteins. Similarly, the inhibition of Parkin with AC220 mitigated NP-induced effects on synaptic, mitophagy-related, and PINK1/Parkin-signaling pathway-related proteins and mRNA expression. In vivo: PKRK2 gene-knockout mice exhibited improved NP-induced depression-like behaviors and decreased NP-induced synaptic morphology and mitochondrial ultrastructure changes. Moreover, the gene knockout alleviated the downregulation of synaptic remodeling-related proteins and inhibited the PINK1/Parkin-signaling pathway-mediated mitophagy activated by NP. Mitophagy inhibition or PKRK2 knockout can alleviate NP-induced downregulation of synaptic remodeling-related proteins, protect synaptic morphology and ultrastructure, and improve NP-induced depression-like behaviors. Show less
no PDF DOI: 10.1016/j.ecoenv.2026.120149
BDNF depression mitophagy neuronal cells neuroscience parkin pink1 synaptic remodeling
Shujun Liu, Yating Ma, Bo Sun +3 more · 2026 · Journal of proteome research · ACS Publications · added 2026-04-24
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) re Show more
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) represent a promising source of biomarkers for the diagnosis of malignant pulmonary nodules. This study aimed to identify robust and clinically relevant EV-based protein biomarkers via isolation with EXODUS, a system that enables efficient direct capture of plasma EVs, followed by data-independent acquisition mass spectrometry (DIA-MS) for in-depth proteomic profiling. A total of 1383 proteins were identified from the plasma EVs obtained from 25 individuals (10 BPN and 15 early stage LUAD), while dysregulated protein signatures were revealed through differential expression analysis. Machine learning algorithms incorporating demographic variables, imaging features, EV protein profiles, and conventional tumor markers were applied to select diagnostic candidates. Random forest analysis revealed two upregulated proteins, NTN3 and APOA4, as promising biomarkers. Subsequently, their diagnostic performance and net clinical benefits were validated in an independent EV cohort (6 LUAD and 6 BPN) using ELISAs and decision curve analysis. In summary, we present an integrated pipeline that combines EXODUS-based isolation, DIA-MS, and machine learning to detect markers from plasma EVs for distinguishing early stage lung cancer from benign nodules. Show less
no PDF DOI: 10.1021/acs.jproteome.5c00610
APOA4
Yanman Liu, Jimei Zhang, Wenjuan Li +5 more · 2026 · Neuropharmacology · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive dysfunction that is closely associated with cholinergic system damage. Estrogen deficiency is a well-est Show more
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive dysfunction that is closely associated with cholinergic system damage. Estrogen deficiency is a well-established risk factor for AD in women. Osthole (OST), a phytoestrogen with mild, bidirectional regulatory properties, has been proposed as a potential estrogen replacement. This study aimed to investigate the mechanisms by which OST ameliorates cognitive impairment. Cognitive deficits were induced in female Sprague-Dawley rats by bilateral ovariectomy (OVX), and OST was subsequently administered by oral gavage. Behavioral tests revealed that OST significantly improved learning and memory and reduced anxiety-like and depression-like behaviors in OVX rats. H&E staining and Nissl staining demonstrated that OST reversed neuronal damage in the hippocampus and cortex. Western blotting, ELISA, and immunofluorescence staining indicated that OST treatment restored the estrogen-cholinergic-NGF axis: E Show less
no PDF DOI: 10.1016/j.neuropharm.2025.110806
BDNF alzheimer's disease cholinergic function cognitive dysfunction estrogen neurodegenerative disorder neurotransmitter phytoestrogen
Dan Pan, Mingchen Jiang, Ying Wang +6 more · 2026 · Neurobiology of stress · Elsevier · added 2026-04-24
Major depressive disorder is a severe mental health condition characterized by persistent depressed mood and loss of interest. Current first-line pharmacotherapies often exhibit limited therapeutic pe Show more
Major depressive disorder is a severe mental health condition characterized by persistent depressed mood and loss of interest. Current first-line pharmacotherapies often exhibit limited therapeutic performance and adverse side effects. Transcutaneous auricular vagus nerve stimulation (taVNS) is a promising, safe, and noninvasive alternative intervention with demonstrated neuromodulatory efficacy. Nevertheless, its mechanisms remain unclear. This study investigated whether the antidepressant properties of taVNS are associated with the microbiota-gut-brain axis, focusing on the potential crosstalk between differentially expressed hippocampal proteins and the gut microbiota. A chronic unpredictable mild stress (CUMS) rat model of depression was established, and taVNS was administered for 14 days. Hippocampal proteomic profiling was performed using data-independent acquisition. Fecal metagenomic sequencing was conducted to characterize alterations in gut microbial communities. Key signaling pathways were validated using Western blot, qRT-PCR, HE staining, and transmission electron microscopy, all of which were employed to systematically assess behavioral, proteomic, microbial, and molecular changes. Proteomics and molecular analyses revealed that taVNS upregulated hippocampal expression of glutamate ionotropic receptor N-methyl-D-aspartate type subunit 1 (GluN1) and brain-derived neurotrophic factor (BDNF), while simultaneously restoring mitogen-activated protein kinase (MAPK) signaling activity. Metagenomic profiling demonstrated that taVNS increased the abundance of TaVNS significantly alleviated depression-like behaviors in CUMS-exposed rats. The underlying mechanism may involve the restoration of synaptic function of glutamatergic neurons by regulating the GluN1/MAPK/BDNF signaling pathway. In addition, taVNS reshaped the gut microbiota, markedly increasing the abundance of Show less
📄 PDF DOI: 10.1016/j.ynstr.2025.100777
BDNF
Shuang Liang, Bing Yan, Shen Shen +3 more · 2026 · The Journal of allergy and clinical immunology · Elsevier · added 2026-04-24
The role of efferocytosis in chronic rhinosinusitis (CRS), particularly CRS with nasal polyps (CRSwNP), remains poorly understood. We comprehensively characterized efferocytosis in CRS and determined Show more
The role of efferocytosis in chronic rhinosinusitis (CRS), particularly CRS with nasal polyps (CRSwNP), remains poorly understood. We comprehensively characterized efferocytosis in CRS and determined its association with inflammatory endotypes and clinical outcomes in CRSwNP. Efferocytosis-related marker expression between nasal polyps and healthy nasal mucosa was detected by quantitative real-time PCR and immunohistochemistry. Public single-cell RNA sequencing profiles of CRS were reanalyzed to dissect efferocytosis at single-cell resolution. Associations between efferocytosis and tissue inflammation were evaluated by Spearman correlation. Regression models and receiver operating characteristic analyses assessed the predictive capability of efferocytosis for CRSwNP recurrence. Compared with controls, CRSwNP exhibited widespread efferocytosis deficiency, including "find me" signals (CX3CR1, S1PRs, P2RY2, GPR132), "eat me" signals (ITGAV, MerTK, Tim1, ADGRB1), "don't eat me" signal CD300a, postengulfment signals (ABCA1, NR1H3/2, PPARδ/γ), and bridging molecule MFGE8. Macrophages, the principal efferocytic cells, shifted from homeostatic C3 Insufficient phagocytosis and increased antiphagocytosis activity are hallmarks of efferocytosis deficiency in CRS and are associated with the severity of inflammation and the clinical outcome of CRSwNP. Show less
no PDF DOI: 10.1016/j.jaci.2025.12.1016
NR1H3
Xiao Yu Cindy Zhang, Erika N Scott, Hedy Maagdenberg +7 more · 2026 · Clinical pharmacology and therapeutics · Wiley · added 2026-04-24
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and impact survival. While individual genetic variant Show more
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and impact survival. While individual genetic variants have been implicated, the cumulative impact of genetic variation within relevant biological pathways remains unexplored. We evaluated single nucleotide polymorphisms across 18 pathways previously identified as relevant to mucositis in 278 pediatric patients with acute lymphoblastic leukemia from six academic health centers across Canada. Pathway enrichment was assessed using the Joint Association of Genetic variants tool, and a predictive model was developed using XGBoost, a supervised machine learning algorithm based on gradient-boosted decision trees. Pathway enrichment identified significant associations in IL6 (P = 0.04) and WNT/β-catenin (P = 0.048) signaling pathways. The predictive model (area under the curve [AUC] = 0.76) highlighted single nucleotide polymorphisms associated with inflammation- and mucosa-related genes, including PRKCD, IL17B, MAST3, and CAPN9, with both risk and protective effects. Model performance dropped by 0.15 in AUC (from 0.76 to 0.61) after removing single nucleotide polymorphism features, underscoring their predictive value. This pathway-informed approach identifies genetic contributors to methotrexate-induced mucositis and supports polygenic risk prediction. Our findings provide a foundation for individualized toxicity risk profiling and suggest potential therapeutic targets to mitigate treatment-limiting mucositis in pediatric oncology. Show less
📄 PDF DOI: 10.1002/cpt.70135
MAST3
Yehui Liang, Ruize Pan, Nian Liu +4 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the bio Show more
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the biomimetic fat globule membrane were optimized by comparing particle size, Zeta-potential and interface protein load. It was found that compared with sodium caseinate (CN) and whey protein (WP), when the lactoferrin (LF) concentration was 2 %, the particle size was lower (277.85 ± 6.15 nm) and Zeta-potential value was higher (19.67 ± 1.27 mv). Using milk phospholipid (MPL) as the outer layer material, when the MPL concentration was 2 %, the emulsion had a smaller particle size (291.33 ± 1.15 nm) and a better stability (10.22 ± 0.62 %). Therefore, the biomimetic multilayer membrane was constructed by electrostatic layer-by-layer deposition of 2 % LF and 2 % MPL. Combining Fluorescence and Fourier transform infrared spectroscopy (FTIR), the interaction between LF and MPL molecules in the LF-MPL multilayer structure is primarily a spontaneous, endothermic process driven by hydrophobic forces, exhibited superior stability (except thermal stability) than LF monolayer membrane. The results of in vitro digestion showed that compared with LF, WP and WP-MPL emulsions, LF-MPL emulsions had the highest free fatty acid (FFA) release rate of 69.97 %. LF-MPL enhanced gastric stability and promoted intestinal lipolysis and improved the degree of lipid digestion. In addition, LF-MPL promoted the absorption and utilization of triglyceride (TAG) in cells and animals, and secretion and upregulated lipid absorption genes (FATP4, DGAT1, APOB, APOA4, MTTP). These findings demonstrate that biomimetic LF-MPL multilayers improve lipid digestion, absorption, and bioavailability, providing a theoretical basis for designing more breast milk-like infant formulas. Show less
no PDF DOI: 10.1016/j.foodres.2025.118055
APOA4
Wenmei Qiao, Yunfei Feng, Zhifeng Wen +2 more · 2026 · Drugs · Springer · added 2026-04-24
Elevated lipoprotein(a) [Lp(a)] is a genetically determined, causal risk factor for atherosclerotic cardiovascular disease, but effective therapies remain limited. Proprotein convertase subtilisin/kex Show more
Elevated lipoprotein(a) [Lp(a)] is a genetically determined, causal risk factor for atherosclerotic cardiovascular disease, but effective therapies remain limited. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are primarily used to lower low-density lipoprotein cholesterol (LDL-C), yet their effects on Lp(a) have been inconsistently reported. This umbrella review synthesizes meta-analytic evidence on PCSK9 inhibitors and Lp(a). We systematically searched PubMed, Embase, Web of Science, and Cochrane Library through April 2025 for meta-analyses of randomized controlled trials (RCTs) comparing PCSK9 inhibitors (alirocumab, evolocumab, inclisiran) with placebo or standard therapy. The primary outcome was mean percentage change in Lp(a). Methodological quality was assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2), and evidence certainty was graded with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Overlap of primary trials was quantified using the Corrected Covered Area (CCA), and sensitivity analyses were performed to account for overlapping evidence. Twenty-one meta-analyses (116 RCTs; 231,796 participants) were included. The PCSK9 inhibitors consistently reduced Lp(a): evolocumab (29.68-46.68%; high certainty), alirocumab (18.55-26.46%; high certainty), and inclisiran (18.00%; high certainty). Higher biweekly doses yielded larger decreases (e.g., alirocumab 150 mg: 24.6%; evolocumab 140 mg: 26.8%, high certainty). Reductions were dose-dependent and broadly consistent across populations, comparators, follow-up durations, and baseline Lp(a). The Lp(a) reductions correlated modestly with LDL-C (β = 0.28; 95% CI 0.07-0.49) and apolipoprotein B (apoB) (β = 0.33; 95% CI 0.03-0.63). Concomitant reductions in LDL-C, apoB, and major adverse cardiovascular events were supported by high and moderate certainty evidence. Safety was favorable, with injection-site reactions being the most common adverse event. Sensitivity analyses confirmed robustness of findings after accounting for overlapping trials. The PCSK9 inhibitors, particularly evolocumab 140 mg every 2 weeks, significantly lower Lp(a) alongside LDL-C and apoB. These findings highlight the consistent Lp(a)-lowering effect of PCSK9 inhibitors. However, the observed cardiovascular benefits are largely attributable to concomitant LDL-C reduction, and the incremental contribution of Lp(a) lowering remains uncertain. Confirmation from outcome trials specifically designed to target Lp(a) is required. PROSPERO CRD420251048597. Show less
📄 PDF DOI: 10.1007/s40265-025-02274-x
APOB
Yuqi Li, Ruikai Li, Peng Wang +6 more · 2026 · Biochimica et biophysica acta. Molecular basis of disease · Elsevier · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Because MASLD progression poses serious health risks, elucidating the underlying mechanisms is essential to guide early intervention and therapeutic strategies. Proteomic analysis was used to identity high-fat diet (HFD)-induced proteins in mouse liver. Galectin-1 (GAL1) expression was assessed via immunohistochemistry in human liver tissues. Liver-specific GAL1-deficient mice were generated using adeno-associated virus. Mice were fed either a chow diet or an HFD. Functional studies were performed in cell lines using western blotting, RT-qPCR, immunofluorescence, co-immunoprecipitation, mass spectrometry, and molecular docking analysis. GAL1 expression was elevated in liver tissues from patients with MASLD and in mouse models. Liver-specific GAL1 knockdown alleviated hepatic steatosis and enhanced fatty acid oxidation (FAO). Mechanistically, GAL1 competitively bound to the BRCT domain of poly (ADP-ribose) polymerase 1 (PARP1), thereby interfering with its interaction with the WW domain -containing E3 ubiquitin protein ligase 2 (WWP2). Hepatic GAL1 knockdown promoted the PARP1 -WWP2 interaction and subsequently facilitated ubiquitin-dependent degradation of PARP1. This degradation led to increased NAD Hepatic deficiency of GAL1 alleviates hepatic steatosis by enhancing FAO through promotion of ubiquitin-dependent PARP1 degradation, thereby restoring NAD Show less
no PDF DOI: 10.1016/j.bbadis.2026.168237
WWP2
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
Yumei Qin, Yanping Liu, Kecheng Li +8 more · 2026 · Frontiers in genetics · Frontiers · added 2026-04-24
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify t Show more
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify the pathogenic cause, and provide a basis for the clinical diagnosis, treatment, and genetic counseling of affected children. Clinical data were collected from family members. High-throughput sequencing was performed to identify pathogenic variants in genes associated with HS and FCS in the proband. Suspected pathogenic mutations were confirmed in family members via PCR-Sanger sequencing. Bioinformatics analysis and three-dimensional protein structure prediction were also conducted. The proband presented with severe anemia, splenomegaly, and jaundice. Genetic testing revealed a heterozygous mutation, c.6005G>A (p.Trp2002*), in the spectrin beta chain ( The heterozygous mutations Show less
📄 PDF DOI: 10.3389/fgene.2026.1659838
LPL
Guangming Li, Yi Jin, Xiaowei Yuan +4 more · 2026 · Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · Elsevier · added 2026-04-24
Dibutyl phthalate (DBP) is a widely distributed endocrine-disrupting chemical with potential carcinogenic properties, yet its role in head and neck squamous cell carcinoma (HNSC) remains unclear. Here Show more
Dibutyl phthalate (DBP) is a widely distributed endocrine-disrupting chemical with potential carcinogenic properties, yet its role in head and neck squamous cell carcinoma (HNSC) remains unclear. Here, we applied an integrative framework combining network toxicology, Mendelian randomization (MR), multi-omics analyses, molecular docking, molecular dynamics simulations, and in vitro experiments to elucidate the mechanisms underlying DBP-associated HNSC. Lipoprotein lipase (LPL) was identified as the sole overlapping gene between DBP-related targets and HNSC-associated genes. MR analysis supported a potential causal relationship between LPL and HNSC susceptibility. Expression profiling demonstrated tissue- and cell type-specific patterns of LPL and its dysregulation in HNSC, with associations to tumor stage and prognosis. Genomic analyses revealed that LPL alterations were infrequent and mainly driven by copy number loss. LPL expression positively correlated with immune and stromal infiltration. Enrichment analyses implicated immune regulation and PI3K-AKT signaling. Molecular simulations showed stable DBP-LPL binding. Functionally, DBP promoted SCC9 proliferation and reduced LPL expression, and was associated with transcriptional changes in PI3K-AKT-mTOR-related genes, whereas LPL restoration mitigated these effects. These findings reveal a novel DBP-LPL axis in HNSC. Show less
no PDF DOI: 10.1016/j.fct.2026.116091
LPL
Yujie Li, Wei Lu, Wentao Qian +9 more · 2026 · Nutrients · MDPI · added 2026-04-24
Hippocampal neuroinflammation (HNF) is a key pathological feature in neurodegenerative disorders. Milk-derived exosomes, as bioactive extracellular vesicles, have underexplored potential in regulating Show more
Hippocampal neuroinflammation (HNF) is a key pathological feature in neurodegenerative disorders. Milk-derived exosomes, as bioactive extracellular vesicles, have underexplored potential in regulating brain neuroinflammatory responses. This study aimed to characterize desert milk exosomes (D-Exo) and investigate their neuroprotective and anti-neuroinflammatory effects in LPS-induced HNF mice model and an LPS-stimulated BV2 microglia. Exosomes were isolated from desert and non-desert milk (ND-Exo) for proteomic analysis. After pretreating BV2 cells with exosomes and stimulating with LPS, their inflammatory responses and polarization were assessed by RT-PCR. Balb/c mice were orally gavaged with D-Exo or 0.9% NaCl for 28 days before LPS injection. Cognitive function was assessed via behavioral tests, with microglial/astrocyte activation analyzed by immunofluorescence. D-Exo exhibited superior stability and a unique proteomic profile enriched with proteins linked to neuroinflammation and blood-brain barrier (BBB) integrity, notably within the AMPK signaling pathway. In vitro, D-Exo shifted LPS-stimulated microglia from the M1 to the M2 phenotype. In vivo, it alleviated HNF and cognitive decline, reduced Aβ D-Exo is enriched with specific proteins, attenuates neuroinflammation and cognitive decline by regulating microglial M1/M2 polarization and AMPK pathway, highlighting its preventive potential. Show less
📄 PDF DOI: 10.3390/nu18020315
BDNF
Hongchun Xiang, Yiwen Long, Siyi Wang +6 more · 2026 · Molecular pain · SAGE Publications · added 2026-04-24
As a complex physiological and psychological phenomenon, pain has a wide impact on the quality of life of patients. Chronic pain represents one of the most challenging public health issues, and ensuri Show more
As a complex physiological and psychological phenomenon, pain has a wide impact on the quality of life of patients. Chronic pain represents one of the most challenging public health issues, and ensuring effective pain management is not only a fundamental right of individuals but also a sacred duty of healthcare providers. This review focuses on recent advancements (within the past five years) in understanding how electroacupuncture (EA) alleviates pain-related affective disorders, such as anxiety and depression. By integrating findings from clinical trials and mechanistic studies, we highlight three key mechanisms: (1)Brain functional regulation: EA modulates brain regions (e.g., prefrontal cortex, insula, thalamus) and networks (default mode network, salience network) via functional magnetic resonance imaging (fMRI)-observed functional connectivity changes. (2)Neurotransmitter and receptor modulation: EA regulates pain and emotions by altering BDNF, β-endorphin, TRPV1, NMDARs, and P2Y12 receptor signaling, supported by studies on chronic pain and depression models. (3)Immune factor adjustment: EA reduces neuroinflammation by targeting TLR4/NF-κB pathways and pro-inflammatory cytokines (IL-1β, TNF-α), improving pain-related affective disorders. Clinical and preclinical evidence demonstrates EA's safety, efficacy, and multi-target effects, however, optimal treatment parameters and individualized strategies require further investigation. Future research should combine multi-omics, large-scale multi-center clinical studies , and precision medicine approaches to deepen understanding of EA's mechanisms and clinical applications. Show less
no PDF DOI: 10.1177/17448069261441012
BDNF affective disorders anxiety chronic pain electroacupuncture pain management
Chenhui Mao, Wenjun Wang, Xinying Huang +15 more · 2026 · Alzheimer's research & therapy · BioMed Central · added 2026-04-24
Lecanemab is an anti-Aβ antibody approved in China for mild cognitive impairment (MCI) and mild dementia. Real-world application requires comprehensive assessment beyond MMSE scores, considering facto Show more
Lecanemab is an anti-Aβ antibody approved in China for mild cognitive impairment (MCI) and mild dementia. Real-world application requires comprehensive assessment beyond MMSE scores, considering factors like ARIA risk. This single-center, real-world study aims to evaluate its efficacy in an expanded population, observe biomarker changes, and assess its safety profile in clinical practice. We recruited adults aged 40-90 with early AD from the PUMCH Dementia Cohort. A total of 42 patients received lecanemab treatment, of whom 29 completed the 6-month treatment evaluation. Participants had confirmed amyloid and tau pathology and met clinical criteria (CDR ≤ 1, CDR-SB ≤ 8and MMSE ≥ 18). Comprehensive assessments included neuropsychological testing, CSF and plasma biomarkers (Lumipulse G1200), multi-sequence 3T MRI (volumetric and ALPS index analysis), and amyloid/tau PET imaging (Centiloid quantification). All were monitored for adverse reactions. Matched control groups (matched for sex, age, APOE genotype, disease severity, and baseline therapy) were established for comparison of longitudinally changes in cognitive function, daily living ability and structure MRI. Treatment was effective even for patients with lower MMSE scores but still classified as having mild dementia by CDR. A significant median Centiloid reduction of 30.9 was observed, with a 24.1% amyloid PET negativity rate after six months. While scores on cognitive and functional scales (CDR-SB, ADL) significantly worsened, indicating disease progression, the rate of progression was significantly slower compared to the control group. Structural MRI showed significant volume reduction in multiple brain regions and increased ventricular volume post-treatment, with no statistically significant change in the ALPS value. The rate of brain volume reduction is faster than that in the control group. Plasma biomarker dynamics (Aβ This study confirms the clinical efficacy, biomarker changes, and safety profile of lecanemab treatment over a 6-month period, demonstrating its positive therapeutic value and a favorable safety profile in the Chinese population with AD. Show less
📄 PDF DOI: 10.1186/s13195-025-01943-z
APOE
Xia Li, Fengling Yang, Xingyu Chen +2 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From Show more
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From June to August 2025, a mixed sampling approach combining convenience and snowball sampling was used to recruit nurses from hospitals of varying levels in Southwest China. Three tools were used for data collection: A self-designed routine information questionnaire, Maslach Burnout Inventory-General Survey (MBI-GS) and Practice Environment Scale of the Nursing Work Index (PES-NWI), LPA identifies potential categories of nurses' professional burnout and uses multivariate logistic regression analysis to explore the factors associated with these categories. This study comprised a total of 809 participants. LPA identified four distinct latent classes of nursing burnout: Class 1, low-burnout-high-efficacy (11.5%); Class 2, mild-burnout-unfulfilled (33.9%); Class 3, moderate-burnout-exhausted (44.6%); and Class 4, severe-burnout-dysfunctional (10.0%). Multivariate logistic regression analysis showed that age, years of work experience, hospital level, nurses' participation in hospital management, nursing quality standards, staffing and resource adequacy, and medical care cooperation are significant predictors of burnout among nurses ( Nurse burnout in southwest China is mainly moderate to severe and exhibits distinctive characteristics. It is recommended to implement personalized interventions tailored to the specific characteristics of nurses' professional burnout to alleviate the situation. Particular attention should be given to nurses with fewer than five years of experience by providing enhanced job support and psychological assistance to help them navigate critical periods of professional burnout. These measures aim to safeguard nurses' physical and mental health, improving the overall quality of nursing, and promoting the healthy development of global medical care. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1764970
LPA
Zequn Li, Kairi Hayashi, Gen Tanabe +3 more · 2026 · Physiology & behavior · Elsevier · added 2026-04-24
Hyposalivation affects cognitive function. However, its impact on hippocampus-dependent memory remains unclear. Saliva contains brain-derived neurotrophic factor (BDNF), which is also synthesized in t Show more
Hyposalivation affects cognitive function. However, its impact on hippocampus-dependent memory remains unclear. Saliva contains brain-derived neurotrophic factor (BDNF), which is also synthesized in the hippocampus and can pass through the blood-brain barrier (BBB) to influence hippocampal plasticity. Therefore, we hypothesized that hyposalivation reduces peripheral BDNF availability, leading to decreased hippocampal BDNF levels and cognitive impairment. In this study, this relationship was investigated using an in vivo model of sialadenectomy-induced hyposalivation. A total of 24 8-week-old male ddY mice were divided into control and extraction (EXT) groups. The EXT group underwent submandibular and sublingual salivary gland extractions, whereas the control group underwent a sham operation. Saliva was collected at baseline (0 weeks) and at 2- and 3-weeks postoperatively. Cognitive function was assessed using the Y-maze, fear conditioning (FC), novel object recognition (NOR), and object location tests (OLT). Anxiety-like behavior was evaluated using the open field test (OFT) and elevated plus-maze (EPM) tests. Hippocampi were collected at 3 weeks post-operation for BDNF quantification using enzyme-linked immunosorbent assay, and its concentration in subregions of the hippocampus was determined by semi-quantitative analysis. Hyposalivation significantly impaired spatial working memory in the Y-maze test and contextual fear memory in the FC, both of which are hippocampus-dependent. NOR showed only a transient deficit at 24 h during the 2-week period (no significant difference in 3-week post-operation), whereas long-term spatial memory measured by the OLT exhibited a persistent 24-h impairment at both 2 and 3 weeks, indicating reduced long-term spatial memory rather than accelerated decay. No significant differences were observed in anxiety-like behavior. Although sialoadenectomy significantly reduced salivary secretion and total salivary BDNF output, the concentration of BDNF in saliva in both groups remained unchanged at 2- and 3-weeks post-operation. However, hippocampal BDNF levels were significantly lower in the EXT group than in the control group. These findings suggest that hyposalivation may selectively impair hippocampus-related spatial memory without affecting recognition memory or anxiety-related behaviors. Show less
no PDF DOI: 10.1016/j.physbeh.2026.115228
BDNF bdnf blood-brain barrier cognitive function hippocampus memory neurotrophic factor salivary gland
Sihua Wang, Chenyu Li, Duncong Fan · 2026 · Cardiovascular therapeutics · added 2026-04-24
This network meta-analysis (NMA) evaluated four novel proprotein convertase subtilisin/kexin type 9 (PCSK9) monoclonal antibodies for hypercholesterolemia management, comparing their lipid-lowering ef Show more
This network meta-analysis (NMA) evaluated four novel proprotein convertase subtilisin/kexin type 9 (PCSK9) monoclonal antibodies for hypercholesterolemia management, comparing their lipid-lowering efficacy and safety. We systematically identified randomized controlled trials employing the frequentist NMA method to assess reductions in low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (ApoB), and lipoprotein (a) (Lp[a]), alongside treatment-emergent adverse events (TEAEs) and serious TEAEs. A total of eight trials with 3,975 Chinese patients were included. Ongericimab 150 mg every 2 weeks (Q2W) ranked first in all efficacy outcomes, demonstrating pronounced effects in LDL-C, ApoB, and Lp(a) reduction versus placebo, with mean differences of -74.21% (95% confidence interval [CI]: -79.69% to -68.73%), -64.36% (95% CI: -68.58% to -60.13%), and -50.93% (95% CI: -56.24% to -45.61%), respectively. All interventions exhibited safety profiles comparable with placebo, with no significant differences in TEAEs or serious TEAEs incidence. The analyses suggested that a portion of the evidence base was robust and reliable. These findings positioned ongericimab 150 mg Q2W as a clinically optimal PCSK9 inhibitor with robust lipid-lowering capacity. The results highlight the potential of next-generation PCSK9 monoclonal antibodies, particularly in East Asian populations, while underscoring the need for large-scale multinational trials to validate ethnic-specific responses. Show less
📄 PDF DOI: 10.1155/cdr/6345873
APOB