👤 Rui 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, Guobin Li, Enhong Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Rongqing Li, Ziming Li, Hang Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Jiajie Li, Zhao-Yang Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Peilin Li, Ran Li, X Y 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, Dongfeng Li, You Li, Xueyang Li, Fa-Hui Li, Xuelin Li, Caiyu 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, W H Li, Sha Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin 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, Hualing Li, Wen-juan Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, C X Li, Zonghua 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, Kangli Li, Ming Li, Runwen Li, Wenbo Li, Side Li, Yarong Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Shuguang Li, Xiuzhen Li, Chuan-Hai Li, Lingxi Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Qin Li, Zhongyu Li, Deyu Li, Zhen-Yu Li, Hansen Li, Annie Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Qintong Li, Xiao Li, Junping Li, PeiQi Li, Xiaobing Li, Naishi Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Shengchao A Li, Pan Li, Jiaying Li, Ruonan Li, Jun-Jie Li, Cui-lan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Desen Li, Tianjun Li, 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, Jihua Li, Wenxue Li, Jingping Li, Zhiquan Li, Zeyu Li, Jianglin Li, Yingpu Li, Yan-Hua Li, Jing-Yao Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, Ya-Ting Li, L K Li, Wan Jie Li, Dongbiao Li, Aimin Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Demin Li, Haipeng Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yu Li, Minhui Li, Yvonne Li, Yiwei Li, Zhichao Li, Jiayuan Li, Xiangzhe Li, Siguang Li, Minglun Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chiyang Li, Chunlan Li, Hulun Li, Juan-Juan Li, 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, Hongyun Li, Dong 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, Zhuo Li, Hong-Wen 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, Yunmin Li, Shaobin Li, Yanying Li, Gui Lin Li, Ronald Li, Chenrui Li, Shi-Hong Li, Shilun Li, John Zhong Li, Xinyu Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Zhimei Li, Jiao Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Supeng Li, Lijun Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Jialing Li, Zu-Ling Li, Xin Li, Yunjiu Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Zhaoshui Li, Yali Li, Wenjing Li, Yu-Hui Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Kaiyuan Li, Zengyang 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, Ruobing Li, Yanxi Li, Ning Li, Wan-Xin 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, 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, Qingrun Li, Dong-Yun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Fengfeng Li, Yumiao Li, Jiexi Li, Qinggang Li, Huixia Li, Kecheng Li, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Chenxuan Li, Xiao-Dong Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Cheung Li, Zhenhui Li, Zhenming Li, Xuelian Li, Shu-Fen Li, Chunjun Li, Changyan Li, Yinghua Li, Mulin Jun Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Chaoying Li, Qiu Li, Juanjuan Li, 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, Weining Li, Wenxi 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, 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, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Gao-Fei Li, Minghao Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Chanjuan Li, Nan-Nan Li, Lan-Lan Li, Hongming 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, Jinglin Li, Dongyang Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Dingshan Li, Yinggao Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Jin-Jiang Li, Cheng-Tian Li, Chang Li, Zhi-Xing Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, Chun-Quan Li, Yongzhen Li, Weifeng Li, Tao Li, Wenhui Li, Sichen Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Lixiang Li, Tian-wang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, 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, Mingyue Li, Caixia Li, Zipeng Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yanfeng Li, Yaqin Li, Yu-He Li, Shasha Li, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Yaochen Li, Qian 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, Anqi Li, Bingsong Li, Xiaoju Li, Ting Li, Zhenyu Li, Xiaonan Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Yanchang Li, Xunjia Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, En-Min Li, Zong-Xue Li, Chunya Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Yuanheng Li, Qian-Qian Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Yu-Sheng Li, Junxin Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shulin Li, Yanyan Li, Shanglai Li, Yue Li, Taibo Li, Junqin Li, Xueying Li, Jun-Ru Li, Zhongcai Li, JunBo Li, Zhaobing Li, Xiaoqi 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, Hongwei Li, Ding-Jian 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, Shu-Fang Li, Huang Li, Qiusheng Li, Juxue Li, Man 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, W Li, Monica M Li, Fengjuan 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, Peilong Li, Hongmei Li, Kang Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Wenhong Li, Quanpeng Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Guohua Li, Wen-Ting Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Shengsheng Li, Suwei 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, Da-Hong Li, J T Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Donghe Li, Zheng 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, Xiao-Kang Li, Chong 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, 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, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Youwei Li, Mingjiang Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Zongyu Li, Luquan Li, Shujie Li, Jianyong Li, Guoxing Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Tie Li, Yiwen Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Xiao-Qin Li, Liyan Li, Xinke Li, Xiaokun Li, Ming-Wei Li, Minzhe Li, Wenfeng 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, AnHai Li, Hui 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, Shen Li, Tianjiao 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, Zhankui Li, Zhi 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, Huimin Li, Cun Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Cong Li, Yinghui Li, Chengbin Li, Feilong Li, Sin-Lun Li, Yuping 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, Michelle Li, Caolong Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Peipei Li, Guangdi Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Jinfang Li, Chenjie 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, Yong-Liang Li, Muzi Li, Gen Li, Dong-Ling Li, M Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Wenlong Li, Ya-Feng Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shugang Li, Shengli Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Ru Li, Yongxin Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Qinglin Li, Bingbing Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Guojun Li, Xuefei Li, Senlin Li, Hung Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Hongzhe K Li, Fulun Li, Xiao-Qiu Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Chun Li, Lihong Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Zhao Li, Kui Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Xiaofei Li, Hung-Yuan Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, Xiaojiao Li, H Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Y H Li, Jian 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, Suran Li, Rongxia Li, Yunlun Li, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Jiafang Li, Shanhang Li, Han-Bing Li, Chunlin Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Hongmin Li, Caihong Li, Yajing Li, Peng Peng Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Dazhi Li, Yubin Li, Beixu Li, Yuhong Li, Fengqiao Li, Guiyuan Li, Di Li, Suk-Yee Li, Yanbing Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Minghua Li, Xiyue Li, Jun Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Yingjian Li, Hongjuan 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, Xiujuan Li, Yongsheng Li, Huifang 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, Wendeng Li, Yuling Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Ming-Yang Li, Linyan 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, Yushan Li, Ping'an Li, Juan Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, He-Zhen Li, G-P Li, Xiaobin Li, Shaoqi Li, Yinliang Li, Yuehua Li, Wen Li, Jinfeng Li, Shiheng Li, Yu-Kun Li, Hsiao-Fen Li, Jiangan Li, Weihai Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Tianxiang Li, Wenyu Li, Chia-Yang Li, Meng-Meng Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Haiyan Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zhijun Li, Zechuan Li, Jiazhou Li, Sherly X Li, Wanling Li, Ya-Ge 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, Yaqiao Li, Jingui 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, 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, Zhengyao Li, Qihua Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, Yongjin Li, Shuangxiu Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Jianrong Li, Baoguo Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Weike Li, Desheng Li, Zhixuan Li, Chuanbao Li, Long-Yan Li, Fuyu Li, Chuzhong Li, M D Li, Lingzhi Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, 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, Zehua Li, Huangbao 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, Yuemei Li, Yanli Li, Jingfeng Li, Zhi-Yuan Li, Hai Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Xiaohu Li, Wenjie 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, Mian Li, Yujun Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Yueting Li, Guojin Li, Xin-Yue Li, YaJie Li, Dingchen Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Congjiao Li, Peining Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Keshen Li, Kechun Li, Chenlu Li, Nianyu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Qun Li, Dongye Li, Tianye Li, Cuiguang Li, Zhen Li, Yuan Li, Chunhong Li, F Li, Mengling Li, Kunpeng Li, Jia-Da Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Baoqing Li, Pu Li, Xinle Li, Xingli Li, Bingkun Li, Nien-Chi Li, Wuguo Li, Tiewei Li, Bing-Hui Li, Rong-Bing Li, Daniel Tian Li, Jingyong Li, Honggang Li, Rong Li, 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, Bei-Bei Li, Hong-Lian 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, Yu-Hao Li, Gui-xing Li, Shunle Li, Shilin Li, Niu Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, 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, Jingyi Li, Ji-Cheng Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Huijuan Li, Haiyu Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Guohui Li, Kainan Li, Yongzhe Li, Qingfeng Li, Xiaoyan Li, Tianyi Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Yuanchuang Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Hongliang Li, Qing-Chang Li, Shengbiao Li, Hong-Yan Li, Yue-Rui Li, Ruidong Li, Dalei Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Xiaomin Li, Sijie Li, Dengxiong Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Zhouxiang Li, Qiuyan 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, 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, W J Li, Qiji 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, Yaojia Li, Shujiao Li, Xiao-Yao Li, Weirong Li, Kun-Ping Li, Weihua Li, Shangming Li, Yaqi Li, Yibo Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Yingjun Li, Xiufeng Li, Yanxin Li, Xiaohuan Li, Ying-Qin Li, Boya Li, Lamei Li, O Li, Fan Li, Jun Z Li, Joyce Li, Suheng Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Zhiqiang Li, Junru 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, Sheng Li, Wei-Qin Li, Weijie Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Chengjun Li, Keke Li, Yongpeng Li, Jianbin Li, Chanyuan Li, Shiying Li, Jianxiong Li, Huaying Li, Ji Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Zhongzhe Li, Xiang Li, Yumei Li, Xiang-Ping Li, Chaonan Li, Wenqiang Li, Yu-Chia Li, Pei-Shan Li, Zaibo Li, Shaomin Li, Heying Li, Guangming Li, Xuan-Ling Li, Yuxuan Li, Bingshan Li, Xiaoqiang Li, Jiahao Li, Hanxiao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Xiaomei Li, Pengjie Li, Ruijin Li
articles
Kai Zhang, Sijia Zhu, Na Xing +16 more · 2026 · British journal of pharmacology · Blackwell Publishing · added 2026-04-24
Chronic pain, marked by nociceptive sensitization and maladaptive neuroplasticity, affects 30% of the global population with escalating socioeconomic burdens. Epidemiological data show a 2-3-fold incr Show more
Chronic pain, marked by nociceptive sensitization and maladaptive neuroplasticity, affects 30% of the global population with escalating socioeconomic burdens. Epidemiological data show a 2-3-fold increase in neuropsychiatric co-morbidities among individuals with chronic pain, where epigenetic dysregulation serves as a key mechanism linking ongoing pain to emotional disorders. This review systematically explores epigenetic signatures in supraspinal integration hubs, notably the limbic-paralimbic networks and prefrontal regulatory circuits. The identified epigenetic signatures encompass dysregulation of DNA methyltransferases (DNMTs), RNA modifications, histone post-translational modifications and locus-specific alterations, including aberrant methylation at the brain-derived neurotrophic factor (BDNF), opioid μ receptor and transient receptor potential ankyrin 1 (TRPA1) gene loci. Additionally, they involve dysfunction of the glucocorticoid receptor (GR)/corticotropin-releasing factor (CRF) axis via epigenetic modulation. Building on these findings, we evaluate therapeutic strategies addressing epigenetic dysregulation. While preclinical data demonstrate the efficacy of histone deacetylase (HDAC) and DNMT inhibitors, clinical translation faces significant barriers, including limited blood-brain barrier permeability. Notably, our analysis highlights the benefits of combining pharmacological interventions with non-invasive neuromodulation for enhanced co-morbidity management. Looking forward, this review proposes innovative approaches that leverage CRISPR-based chromatin editing platforms, biomimetic nanocarriers for neuron-specific delivery and closed-loop neuromodulation integrating real-time biomarker feedback, collectively establishing a precision medicine framework for pain or neuropsychiatric co-morbidities. Show less
no PDF DOI: 10.1111/bph.70302
BDNF chronic pain epigenetic dysregulation epigenetic mechanisms maladaptive neuroplasticity neuroplasticity neuropsychiatric nociceptive sensitization
Zeao Guo, Zhaoyang Zeng, Xuepeng Ma +8 more · 2026 · PeerJ · added 2026-04-24
Diabetic foot ulcers (DFU) are a major complication of diabetes, and its pathogenesis remains incompletely elucidated. Converging evidence indicates that oxidative stress and dysregulated mitochondria Show more
Diabetic foot ulcers (DFU) are a major complication of diabetes, and its pathogenesis remains incompletely elucidated. Converging evidence indicates that oxidative stress and dysregulated mitochondrial polarization participate in DFU progression, nominating these processes as therapeutically actionable targets. This study integrates bulk and single-cell transcriptomic data with machine learning to reconstruct cross-scale, cell type-resolved molecular atlases and regulatory networks. Macrophages and fibroblasts emerged as communication hubs, dominating pathway enrichment and ligand-receptor programs such as macrophage migration inhibitory factor signaling pathway (MIF), ANNEXIN signaling pathway, and COMPLEMENT signaling pathway. Peptidylprolyl isomerase F (PPIF), which encodes cyclophilin D (CypD) and apolipoprotein E (APOE) were further prioritized as putative drivers within macrophages and fibroblasts, and a five-gene classifier was derived with robust performance (internal/external AUC = 0.833/0.933). Within DFU lesions, under the control of non-coding RNA circuitry, SOX5 may shape the inflammatory microenvironment, APOE may participate in lipid-metabolic remodeling, and PPIF (CypD) likely links reactive oxygen species (ROS) accumulation to a p53-dependent mitochondrial death pathway (necroptosis/apoptosis). Orthogonal validation showed significantly increased CypD in diabetic foot ulcer skin (DFUS) and diabetic foot ulcer tendon (DFUT) relative to diabetic foot skin (DFS) and DFT (Diabetic foot tendon), with up-regulated p53 and Cytc and down-regulated ApoE in DFUS; in primary foot-skin fibroblasts, a high-glucose plus tert-butyl hydroperoxide (HG+TBHP) model reproduced elevated ROS, loss of mitochondrial Δψm (mitochondrial membrane potential), growth restriction, and apoptosis, supporting a ROS-CypD/mPTP (mitochondrial permeability transition pore)-Δψm depolarization-p53/Cytc apoptosis axis. The delineated PPIF-centered regulatory network includes upstream transcription factors CEBPB/REL/SPI1 and a downstream ceRNA axis comprising miR-128-3p/miR-23a-3p-long non-coding RNA OIP5-AS1. Additionally, the significant role of polarization-specific reprogramming in regulating macrophage function highlights therapeutic strategies focused on metabolic reprogramming and inhibition of the PPIF/mPTP pathway. Collectively, a cell type-resolved molecular map of DFU is provided, healing-relevant cell populations and regulatory circuits are prioritized, and a translational, testable intervention framework is proposed. Show less
📄 PDF DOI: 10.7717/peerj.20988
APOE
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
Wei Xia, Nan Shi, Yongjing Lai +12 more · 2026 · Nature communications · Nature · added 2026-04-24
Rodents are widely used in immunology but do not always recapitulate human immune functions. The tree shrew (Tupaia belangeri) is phylogenetically closer to primates than rodents and may help bridge t Show more
Rodents are widely used in immunology but do not always recapitulate human immune functions. The tree shrew (Tupaia belangeri) is phylogenetically closer to primates than rodents and may help bridge this gap, yet its immune system has not been comprehensively characterised at single-cell resolution. Here, we present a single-cell transcriptomic atlas of the tree shrew immune system, profiling 39 cell types across 12 tissues. We uncover human-like tonsillar structures and two transcriptionally distinct splenic macrophage subsets: an NR1H3 Show less
no PDF DOI: 10.1038/s41467-026-71218-0
NR1H3
Ting Li, Yanjie Shan, Yibo Li · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Enhancing students' subjective well-being (SWB) is an inevitable requirement for achieving comprehensive human development. This study utilized data from 11,990 students in Beijing, Shanghai, Jiangsu, Show more
Enhancing students' subjective well-being (SWB) is an inevitable requirement for achieving comprehensive human development. This study utilized data from 11,990 students in Beijing, Shanghai, Jiangsu, and Zhejiang from the PISA 2018 survey to identify distinct SWB profiles and examine the mechanisms linking parental emotional support to these profiles. Using latent profile analysis (LPA), we identified three distinct SWB profiles: 'Low Affect-Low Cognition' (30.6 %), 'Moderate Affect-High Cognition' (45.9 %), and 'High Affect-High Cognition' (23.5 %). Path analyses, controlling for gender, age, and socioeconomic status, revealed that: (1) Parental emotional support exerted significant direct effects on membership in all three profiles. (2) Parental support influenced the 'Low Affect-Low Cognition' through the mediating role of psychological resilience alone and the serial mediation of growth mindset and psychological resilience. Parental support influenced the 'Moderate Affect-High Cognition' through the mediating role of growth mindset alone and the serial mediation of growth mindset and psychological resilience. (3) For the 'High Affect-High Cognition' profile, parental support operated through three pathways: the specific indirect effects of growth mindset and psychological resilience independently, plus their serial mediation. The findings suggest that interventions for students with low SWB should prioritize building psychological resilience, while for other groups, fostering both a growth mindset and resilience is beneficial. The research results are primarily applicable to adolescents in China's high-development level regions and caution should be exercised in generalizing them to other contexts. Show less
no PDF DOI: 10.1016/j.jad.2025.120717
LPA
Shangming Li, Bocheng Xiong, Nan Xu +7 more · 2026 · Molecular neurobiology · Springer · added 2026-04-24
Alzheimer's disease (AD), the most prevalent form of dementia, is characterized as a slowly progressing neurodegenerative disease marked by senile plaques and neurofibrillary tangles due to the buildu Show more
Alzheimer's disease (AD), the most prevalent form of dementia, is characterized as a slowly progressing neurodegenerative disease marked by senile plaques and neurofibrillary tangles due to the buildup of amyloid-beta peptide (Aβ) and phosphorylated tau in the brain. It is reported that arctigenin (ATG) reduces the level of the enzyme 1 that cleaves β-site amyloid precursor protein and increases Aβ clearance by enhancing autophagy. Compound ARC-18 is a derivative of ATG. The main objective of this study is to investigate whether ARC-18 could improve cognitive function and disease progression by promoting autophagy in Alzheimer-like animal models. Three-month-old 5 × FAD mice were orally treated with the drug for three consecutive months. Water maze and novel object recognition were used to assess cognitive abilities of 5 × FAD mice. In the hippocampus of the mice' brain, APP processing-related proteins (sAPP Show less
📄 PDF DOI: 10.1007/s12035-026-05731-0
BACE1
Yukang Mao, Tingting Wu, Yuer Jiang +3 more · 2026 · Obesity reviews : an official journal of the International Association for the Study of Obesity · Blackwell Publishing · added 2026-04-24
Obesity is a well-documented cardiovascular risk factor. Here, we sought to investigate whether obesity causes subclinical cardiac remodeling and heart failure (HF), and if so, to perform a systematic Show more
Obesity is a well-documented cardiovascular risk factor. Here, we sought to investigate whether obesity causes subclinical cardiac remodeling and heart failure (HF), and if so, to perform a systematic scan of the plasma protein for novel drug targets. We leveraged visceral adipose tissue (VAT), waist circumference (WC), and waist-to-hip ratio (WHR)-all adjusted for body mass index (BMI)-as indicators of obesity. Two-sample Mendelian randomization (MR) analyses were used to estimate the independent, causal effects of obesity on cardiovascular magnetic resonance (CMR)-derived cardiac traits and HF risk. Mediation analyses followed by druggability assessment were conducted to identify promising protein targets for therapeutic translation. Genetically determined VATadjBMI, WCadjBMI, and WHRadjBMI presented broad causal associations with alterations of distinct cardiac phenotypes, most of which remained significant after controlling for obesity-induced cardiometabolic risk factors, including hypertension, type 2 diabetes, and adverse lipid profiles. By contrast, WHRadjBMI is the only independent causal predictor for HF risk. Of 142 proteins with mediating effects, scavenger receptor class A member 5 (SCARA5), membrane cofactor protein (CD46), and alpha-1-antichymotrypsin (SERPINA3) may contribute to the early-stage adverse cardiovascular effect of obesity, whereas apolipoprotein C-III (APOC3), mitochondrial aldehyde dehydrogenase 2 (ALDH2), and chordin-like protein 2 (CHRDL2) may further promote the development of obesity-driven HF. Medications targeted at these candidate proteins are either approved or under evaluation in clinical trials. Our MR findings provided genetic evidence for the direct, causal associations of obesity with cardiac remodeling and HF, while also outlining druggable proteins as promising therapeutic targets. Show less
no PDF DOI: 10.1111/obr.70059
APOC3
Wenxiu Li, Jianhua Jiang, Yizhen Weng +5 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
MicroRNAs (miRNAs) are key regulators of myelination and cognitive functions, with miR-219 being particularly important for the differentiation and maturation of oligodendrocyte precursor cells (OPCs) Show more
MicroRNAs (miRNAs) are key regulators of myelination and cognitive functions, with miR-219 being particularly important for the differentiation and maturation of oligodendrocyte precursor cells (OPCs). However, its role in myelin damage and cognitive dysfunction during acute cerebral ischemia is not well understood. In this study, we used the MCAO/R rat model to investigate the mechanistic involvement of miR-219. Our results show that miR-219 alleviates cognitive dysfunction induced by MCAO/R. The agonist group showed a reduced time to locate the platform in the water maze, while the antagonist group showed an increased time compared to the solvent control. Additionally, miR-219 reduced myelin damage, as demonstrated by Luxol Fast Blue (LFB) staining, which indicated substantial hippocampal demyelination repair in the agonist group, whereas the antagonist group exhibited aggravated demyelination. Electron microscopy revealed enhanced myelin sheath regeneration and increased thickness in the agonist group, while the antagonist group displayed fewer and thinner myelin sheaths. Furthermore, miR-219 regulated OPC maturation, with more CNPase-positive cells in the agonist group and fewer in the antagonist group than the solvent control. In NG2 staining, the agonist group had fewer positive cells, while the antagonist group had more. miR-219 also decreased Lingo-1 expression, leading to reduced levels of AKT, RhoA, and mTOR in the downstream signaling pathway. These findings suggest that activating the miR-219-Lingo-1 signaling pathway during ischemia-reperfusion could offer a potential therapeutic approach for improving myelin damage and alleviating cognitive dysfunction in cerebral ischemia. Show less
no PDF DOI: 10.1016/j.brainresbull.2025.111692
LINGO1
Lechi Zhang, Zhihang Xiao, Chunya Xia +6 more · 2026 · Communications biology · Nature · added 2026-04-24
Spinal cord injury (SCI) represents significant central nervous system trauma and has consistently been a focal point of research in the domain of neural regeneration and repair. Currently, there is n Show more
Spinal cord injury (SCI) represents significant central nervous system trauma and has consistently been a focal point of research in the domain of neural regeneration and repair. Currently, there is no effective treatment available. Various modalities of magnetic stimulation have emerged for recovery from spinal cord injuries; however, the underlying mechanisms remain unclear, significantly hindering the application of magnetic stimulation technologies in treating such injuries. This study aims to elucidate these relevant mechanisms by establishing a simulated closed-loop magnetic stimulation system. In this study, we established a right hemisection model at T8 in mice and administered continuous simulated closed-loop magnetic stimulation targeting the left motor cortex and right L5 nerve root over six weeks. We subsequently utilized a spinal cord dorsal hemisection model to examine regeneration of the corticospinal tract (CST). Motor-evoked potential assessments and calcium imaging techniques were employed to explore neural circuit repair. Additionally, we integrated transcriptomics, proteomics, and metabolomics approaches to investigate related mechanisms. The findings indicate that simulated closed-loop magnetic stimulation effectively restores motor function in the hind limbs, promotes the regeneration of corticospinal tracts in mice with spinal cord injuries, and facilitates the reconstruction of sensorimotor circuits and functions within the spinal cord. Simulated closed-loop magnetic stimulation significantly enhances axonal regeneration of the CST following SCI. This effect may be mediated through the activation of the AMPK-CREB-BDNF signaling pathway, which promotes neurotrophic factor secretion and subsequently induces nerve axon regeneration. This study suggests that simulated closed-loop magnetic stimulation represents a promising therapeutic approach for the treatment for impaired gait following SCI. Show less
no PDF DOI: 10.1038/s42003-026-09848-9
BDNF axonal regeneration central nervous system function recovery magnetic stimulation neural regeneration spinal cord injury trauma
Yanghong Zou, Chunhai Zhang, Hui Bian +5 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progre Show more
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progression of PD. This study aimed to investigate the specific molecular mechanism underlying the promotion of PD progression by METH through the regulation of microglial polarization and glycolysis. METH-induced C57BL/6 mice and BV2 cells were used to construct PD-like neurotoxicity animal and cell models for experimental investigation. Behavioral tests, immunohistochemistry and Nissl staining were used to assess the behavioral ability and neuronal damage of the animals. The levels of related proteins, inflammatory cytokines and glycolysis were detected using immunofluorescence, ELISA, Western blotting, and CCK-8 assays. METH treatment significantly promoted behavioral disorders in PD mice, reduced the number of TH-positive neurons, and aggravated neuronal damage in the substantia nigra (SN). In addition, METH decreased the M2 marker proteins Arg-1 and CD206 and increased the M1 marker proteins iNOS and CD86; the proinflammatory cytokines TNF-α, IL-β, and IL-6; and glucose uptake, glucose consumption and lactic acid production, thus promoting M1 polarization and glycolytic activity in BV2 cells. In terms of the underlying molecular mechanism, METH treatment significantly increased the level of LPA. METH promotes LPA expression via upregulation of LIPH expression, and activates the PI3K/AKT pathway. Knockdown of LIPH or treatment with BrP-LPA reduces the ability of METH to promote M1 microglial polarization and glycolytic activity. Furthermore, the addition of the PI3K/AKT signaling pathway activator 740 YP weakened the inhibitory effect of BrP-LPA on the above process. METH may promote M1 polarization and glycolytic activity in microglia by activating LIPH/LPA/PI3K/AKT signaling, thus promoting the progression of PD. Show less
no PDF DOI: 10.1016/j.intimp.2026.116306
LPA
Ming Chen, Yuchi Zhang, Jingying Xu +7 more · 2026 · Biophysical chemistry · Elsevier · added 2026-04-24
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform Show more
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform (MDQIP) that uses a model to objectively calculate and rank compound activities, addressing the limitations of traditional "experience-driven" evaluations, accelerates the screening and evaluation of potential AChE inhibitors from Red Gastrodia elata, offering a more efficient approach to drug discovery. Ultrafiltration-LC screening identified parishin A as having the most stable binding, with binding degree and recovery rates of 98.85% and 99.39%, respectively. Molecular docking revealed that parishins A and C were the strongest AChE inhibitors, exhibiting stable binding through hydrogen bonds, π-alkyl, and π-π interactions. Molecular dynamics simulations confirmed the stability of these compounds, with binding energies of -82.65 ± 4.24 and - 80.69 ± 4.19 kcal/mol. Enzyme kinetics showed that parishins A and C are mixed-type inhibitors, with IC Show less
no PDF DOI: 10.1016/j.bpc.2026.107617
BACE1
Weiji Deng, Xinyu Li, Min HU +2 more · 2026 · Nutrients · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/nu18050746
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
Jie Zhang, Liwen Yu, Wei Yang +18 more · 2026 · Circulation · added 2026-04-24
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, Show more
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, forming foam cells, and driving inflammation. The ubiquitin-proteasome system regulates immune and inflammatory responses in atherosclerosis. This study investigated the protective role of TRIM31 (tripartite motif-containing 31), an E3 ubiquitin ligase, in macrophage lipid metabolism and inflammation through selective regulation of LOX-1 (lectin-like oxidized low-density lipoprotein receptor-1). Transcriptomic profiling, macrophage-specific TRIM31 was selectively upregulated in macrophages under oxidized low-density lipoprotein stimulation and in atherosclerosis plaques. Trim31 deficiency exacerbated plaque burden, foam cell formation, and inflammatory signaling (n=8 per group). Single-cell analysis revealed enrichment of lipid transport and inflammatory pathways in Trim31-deficient plaques. LOX-1 was identified as a key TRIM31 substrate. TRIM31 promoted K48-linked ubiquitination of LOX-1 at lysine 12, facilitating its degradation. The atheroprotective effects of Trim31 were abolished in TRIM31, an inducible, macrophage-enriched protective factor in atherosclerosis, restricts foam cell formation and inflammation by targeting LOX-1 for proteasomal degradation. These findings position TRIM31 as a promising therapeutic target for macrophage-driven atherogenesis. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.125.076514
APOE
Yan-Yan Li, Hui Wang, Yang-Yang Zhang · 2026 · The American journal of the medical sciences · Elsevier · added 2026-04-24
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between th Show more
The Lipoprotein(a) (LPA) rs3798220 and rs10455872 polymorphisms have been indicated to be involved with the coronary heart disease (CHD) susceptibility. However, there are still differences between the individual studies. To explore the correlation of LPA gene rs3798220 and rs10455872 polymorphisms and CHD, the current meta-analysis was performed. The random or fixed effect genetic models were used to calculate the pooled odds ratios (ORs) and their corresponding 95 % confidence intervals (CI). A significant association was found between LPA rs3798220 polymorphism and CHD under allelic (OR: 1.488), recessive (OR: 1.543), dominant (OR: 1.534), homozygous (OR: 1.544), heterozygous (OR: 1.498) and additive genetic models (OR: 1.531). There was also a significant association between LPA rs10455872 polymorphism and CHD under allelic (OR: 1.607), dominant (OR: 1.751), heterozygous (OR: 1.723) and additive genetic models (OR: 1.686). LPA rs3798220 and rs10455872 polymorphisms were significantly associated with increased CAD risk. The persons carrying C allele of LPA rs3798220 and G allele of LPA rs10455872 polymorphisms might have higher CHD risk than the T allele of rs3798220 or A allele of rs10455872 carriers. Show less
no PDF DOI: 10.1016/j.amjms.2025.12.002
LPA
Fanrong Zeng, Xinyi Zhang, Meng Zhang +6 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and Show more
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and genotype and allele frequencies were compared between groups. Multivariate logistic regression analyzed the link between ApoE polymorphisms and CAD risk in populations at middle and high altitudes. The data revealed significant differences in These findings validated that the Show less
📄 PDF DOI: 10.3389/fendo.2026.1765770
APOB
Azadeh Feizpour, Vincent Doré, Pierrick Bourgeat +24 more · 2026 · The journal of prevention of Alzheimer's disease · Elsevier · added 2026-04-24
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether Show more
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether this reflects Aβ changes in plasma before PET-detectable. To assess the influence of Aβ42/40 positivity on risk of progression to Aβ PET positivity, and feasibility of using plasma Aβ42/40 tests to enrich a primary prevention trial. A prospective longitudinal cohort study. Participants of Australian Imaging, Biomarkers and Lifestyle study (AIBL), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Open Access Series of Imaging Studies 3 (OASIS3). 507 cognitively unimpaired adults at baseline, with a baseline Aβ PET < 20 Centiloid (CL) and available longitudinal Aβ PET data. Baseline Aβ PET and plasma Aβ42/40 measurement by mass-spectrometry, followed by 1-6 additional Aβ PET scans every 1.5-3 years. Those < 5 CL were classified as PET- and 5-20 CL as PET At baseline, 283 were Plasma-/PET-, 97 Plasma+/PET-, 76 Plasma-/PET Cognitively unimpaired individuals with abnormal Aβ42/40 are at increased risk for future Aβ PET positivity. In the 5-20 CL subgroup, baseline CL is the main driver of this risk. Combining blood-based pre-screening with PET imaging may help efficiently enrich primary prevention trials. Show less
📄 PDF DOI: 10.1016/j.tjpad.2025.100455
APOE
Yunyun Liu, Xiangrui Li, Ting Zhao +9 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile an Show more
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1741344
LPA
Chenxu Ge, Jiamao Lin, Changsheng Yang +19 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Particulate matter ≤2.5 µm (PM
📄 PDF DOI: 10.1002/advs.202508458
MC4R
Zitong Gao, Haihong Qin, Tong Yue +2 more · 2026 · Archives of gerontology and geriatrics · Elsevier · added 2026-04-24
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classe Show more
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classes and transition patterns of social participation in older adults with chronic non-communicable diseases and to assess their relationship with subsequent frailty. The data set from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 (T1) and 2020 (T2) was analyzed, including 4793 older adults. Latent profile analyses (LPA) and latent transition analyses (LTA) were employed to identify latent classes and the transition probabilities of social participation at T1 and T2. The ANCOVA was employed to examine the frailty index at T2 was compared across transition patterns. The LPA results supported a 4-class model labeled as inactive group, voluntary group, social interaction group, and omni-engaged group. The probability of transition from the other groups to the inactive group was significant (33.3 %, 53.8 %, 54.4 %). Age, residence, marital status, and other demographic characteristics can significantly impact transition patterns. However, after controlling for baseline frailty and other covariates, transition patterns were not significantly associated with T2 frailty levels. The short-term (two-year) effect of qualitative shifts in social participation on frailty may be limited when pre-existing health status is accounted for. Future interventions should prioritize sustained engagement and investigate the longer-term effects of both qualitative and quantitative changes in social participation. Show less
no PDF DOI: 10.1016/j.archger.2025.106091
LPA
Peihong Su, Xiaoli Ma, Chong Yin +9 more · 2026 · Aging cell · Blackwell Publishing · added 2026-04-24
The increasing prevalence of age-related osteoporosis has emerged as a critical public health issue in the context of the globally aging population. Chronic oxidative stress, induced by excessive reac Show more
The increasing prevalence of age-related osteoporosis has emerged as a critical public health issue in the context of the globally aging population. Chronic oxidative stress, induced by excessive reactive oxygen species (ROS) associated with aging, is a critical factor underlying the development of osteoporosis in elderly individuals and a diminished capacity for bone formation and osteogenic differentiation. However, the mechanism underlying age-related osteoporosis remains unclear. MACF1 (microtubule actin crosslinking factor 1) is an essential factor that regulates bone formation and development, and exhibits reduced expression as humans age. In this study, we used MACF1 conditional knockout (MACF1-cKO) mice as a premature aging model and found that MACF1-cKO mice exhibited chronic oxidative stress. Moreover, the expression level, nuclear translocation, and transcriptional activity of FoxO1 were promoted in MACF1 deficient osteoblastic cells. In addition, the binding of FoxO1 to β-catenin was enhanced, increasing the transcriptional activity of the FoxO1/β-catenin pathway in MACF1 deficient osteoblastic cells. The enhanced FoxO1/β-catenin pathway competitively weakens the binding of β-catenin to TCF7 and decreases the activity of the TCF7/β-catenin pathway. Our study showed that FoxO1 responded to chronic oxidative stress induced by MACF1 deficiency to determine β-catenin fate and regulate osteoblast differentiation during senile osteoporosis. Show less
📄 PDF DOI: 10.1111/acel.70306
MACF1
Fanfan Meng, Tingting Zhao, Xi Yang +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a multifactorial disorder. The sortilin-related receptor 1 (
no PDF DOI: 10.1177/13872877261441644
APOE
Shan Li, Jialu Xu, Han Yue +8 more · 2026 · Journal of neuroendocrinology · Blackwell Publishing · added 2026-04-24
Disruption of circadian rhythms is increasingly recognized as a contributor to cognitive dysfunction, but its role in gestation-associated cognitive changes remains unexplored. Here we combine human c Show more
Disruption of circadian rhythms is increasingly recognized as a contributor to cognitive dysfunction, but its role in gestation-associated cognitive changes remains unexplored. Here we combine human cognitive screening with a comprehensive longitudinal mouse model to investigate whether gestational cognitive impairment and postpartum recovery are coupled with disruption and restoration of hippocampal circadian rhythms. Cognitive function was assessed in pregnant and postpartum women using the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). In mice, four reproductive stages were compared: control, gestation, 1 month postpartum, and 3 months postpartum. Serum gonadotropins and sex hormones levels were quantified using ELISA. Home-cage locomotor activity was recorded over 48 h under a 12 h:12 h light-dark cycle. Hippocampal-dependent memory was evaluated using the novel object recognition test and Barnes maze at Zeitgeber times ZT6 (day) and ZT18 (night). Hippocampal amyloid β (Aβ) deposition was visualized via immunofluorescence; protein expression of amyloid precursor protein (APP), β-site amyloid precursor protein cleaving enzyme-1 (BACE1), and phosphorylated tau was measured by Western blots. Hippocampal clock gene expression was quantified by RT-qPCR at six time points; circadian parameters (mesor, amplitude, acrophase) were derived by cosinor analysis and compared between groups. Human cognitive screening confirmed modest gestational decline with postpartum recovery. In mice, gestation disrupted daily locomotor activity rhythms and reduced nocturnal preference; both partially recovered by 1 month and fully by 3 months postpartum. Behaviourally, pregnancy impaired the normal day-night difference and performance in novel object exploration and Barnes maze, which recovered progressively. At the molecular level, gestation increased hippocampal APP and BACE1 expression, elevated Aβ42 deposition, and induced tau hyperphosphorylation at multiple sites-hallmarks of Alzheimer's disease-related pathology. These alterations partially reversed by 1 month postpartum and normalized by 3 months. Hippocampal clock genes maintained 24 h rhythmicity, but gestation induced gene-specific phase shifts, amplitude reductions, and mesor alterations. These parameters showed gradual, gene-dependent normalization postpartum. Gestational cognitive impairment and postpartum recovery are associated with reversible disruption and restoration of both hippocampal circadian rhythms and Alzheimer's disease-related molecular pathology. These findings are correlational in nature and provide a foundation for future causal investigations. Show less
no PDF DOI: 10.1111/jne.70178
BACE1
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
Lei Liu, Huihui Ma, Senwen Yang +6 more · 2026 · The American journal of cardiology · Elsevier · added 2026-04-24
High-density lipoprotein(a) (Lp(a)) is a well-established independent risk factor for atherosclerotic cardiovascular diseases (ASCVD). However, the interaction between Lp(a), low-density lipoprotein c Show more
High-density lipoprotein(a) (Lp(a)) is a well-established independent risk factor for atherosclerotic cardiovascular diseases (ASCVD). However, the interaction between Lp(a), low-density lipoprotein cholesterol (LDL-C), and polygenic risk score (PRS) in cardiovascular diseases has been the subject of relatively limited research. The present study included a total of 346,751 participants from the UK Biobank. According to the guideline of Lp(a), the study subjects were divided into 3 groups: the first group was <75 mmol/L (n = 272,643), the second group was 75 to 125 mmol/L (n = 35,792), and the third group was >125 mmol/L (n = 38,316). Elevated Lp(a) levels were associated with a progressively increased risk of overall cardiovascular events (CVEs), including ischemic stroke (IS), coronary heart disease (CHD), angina pectoris, and myocardial infarction (MI). In contrast, the risks of atrial fibrillation (AF) and heart failure (HF) decreased with higher Lp(a) levels. Additive interaction analyses revealed significant synergistic effects between Lp(a) and LDL-C for CHD (relative excess risk interaction [RERI] = 0.081, attributable proportion of interaction [AP] = 0.046, synergy index [SI] = 1.117), angina pectoris (RERI = 0.112, AP = 0.055, SI = 1.121), and MI (RERI = 0.183, AP = 0.079, SI = 1.161), with MI showing the strongest synergy. Incorporating PRS further amplified these effects, and the RERI (CHD: RERI = 0.721; angina pectoris: RERI = 0.781; MI: RERI = 1.318) and SI (CHD: SI = 2.218; angina pectoris: SI = 1.97; MI: SI = 2.326) were significantly higher than those of the interaction model containing only Lp(a) and LDL-C. In conclusion, Lp(a) and LDL-C show a significant synergistic effect in ASCVD, and this effect is more prominent in individuals with a higher PRS, suggesting that dual lipid management should be strengthened for such populations. While AF and HF may require alternative risk factor management. Show less
no PDF DOI: 10.1016/j.amjcard.2025.09.012
LPA
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
Bo Dong, Lu Kou, Jing-Yu Yang +2 more · 2026 · Biological procedures online · BioMed Central · added 2026-04-24
Ferroptosis is an iron-dependent form of necrosis that promotes AS by accelerating endothelial dysfunction in lipid peroxidation. This study aims to investigate the role of deubiquitinase USP7 in ferr Show more
Ferroptosis is an iron-dependent form of necrosis that promotes AS by accelerating endothelial dysfunction in lipid peroxidation. This study aims to investigate the role of deubiquitinase USP7 in ferroptosis of VECs during AS. AS models were established using HFD-fed ApoE USP7, KIAA1429, and NEAT1 were upregulated in mouse AS models and ox-LDL-treated HUVECs. USP7 inhibition attenuated AS pathology and VECs ferroptosis. USP7 deubiquitinated and stabilized KIAA1429, which facilitated YTHDF1-mediated m6A modification to stabilize NEAT1. NEAT1 recruited CTCF to maintain H3K27me3 modification at the SLC7A11 promoter, repressing SLC7A11 transcription and triggering HUVECs ferroptosis. Overexpression of KIAA1429 or NEAT1 reversed protective effects of USP7 inhibition on ferroptosis. USP7 promotes VECs ferroptosis in AS via the KIAA1429/NEAT1/CTCF axis. Show less
📄 PDF DOI: 10.1186/s12575-026-00331-7
APOE
Ling-Rong Xiao, Si-Jin Liu, Jun-Ru Li +6 more · 2026 · Child: care, health and development · Blackwell Publishing · added 2026-04-24
Families with children diagnosed with autism spectrum disorder (ASD) often encounter significant challenges, manifesting in elevated stress levels and compromised physical and mental well-being. This Show more
Families with children diagnosed with autism spectrum disorder (ASD) often encounter significant challenges, manifesting in elevated stress levels and compromised physical and mental well-being. This study employed Latent Profile Analysis (LPA) to comprehensively examine family resilience attributes among 328 Chinese parents of children with ASD. Drawing on Walsh's family resilience framework and the Double ABCX stress-adaptation model, the research examined how protective factors (social support, posttraumatic growth) and risk factors (family stressors) distinctively characterize resilience profiles and predict profile membership, alongside sociodemographic correlates. Through rigorous statistical analysis, the following three distinct family resilience profiles emerged: adversity (32.31%; characterized by low resilience), ordinary (46.65%; demonstrating moderate resilience) and growth (21.03%; exhibiting high resilience). Critically, the findings revealed that higher family income, perceived social support and posttraumatic growth were associated with higher family resilience, while family stressors were associated with lower family resilience. These insights underscore the importance of developing targeted, personalized intervention strategies that can effectively enhance familial coping mechanisms and psychological adaptation for families navigating the complex challenges of ASD. Show less
no PDF DOI: 10.1111/cch.70222
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
Jie Huang, Xingyuan Hou, Ni Zhou +7 more · 2026 · Cardiovascular drugs and therapy · Springer · added 2026-04-24
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of ph Show more
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of phenylacetylglutamine (PAGln), a novel gut microbiota metabolite, in Dox-induced cardiotoxicity (DIC). DIC models were established in vivo and in vitro, and a series of experiments were performed to verify the cardioprotective effect of PAGln. RNA sequencing (RNA-seq) was employed to explore the mechanism of PAGln in DIC. Subsequently, the differentially expressed genes (DEGs) were subjected to comprehensive analysis using diverse public databases, and RT-PCR was used to confirm the expression levels of the candidate genes. Finally, molecular docking techniques were used for validation. PAGln effectively prevented both in vivo and in vitro Dox-induced myocardial injury and cell apoptosis. RNA-seq results showed that 40 genes were up-regulated and 54 down-regulated in the Dox group compared to the Con group, displaying opposite changes in the Dox + PAGln group. Enrichment analysis highlighted several mechanisms by which PAGln alleviated Dox-induced cardiotoxicity, including the lipid metabolic process, calcium-mediated signaling, positive regulation of store-operated calcium channel activity, and hypertrophic cardiomyopathy. In vitro and in vivo experiments confirmed that PAGln treatment could reverse the changes in the expression levels of Klb, Ece2, Nmnat2, Casq1, Pak1, and Apob in Dox. Molecular docking results showed that these genes had good binding activity with PAGln. PAGln shows potential in alleviating Dox-induced cardiotoxicity, with Ece2 identified as key regulatory molecules related to endothelial dysfunction. Show less
📄 PDF DOI: 10.1007/s10557-024-07665-y
APOB