👤 Wenguo Li

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Also published as: Xiaofeng Li, Jingwen Li, Jiajia Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Qingchao Li, Yan-Xue Li, Xikun Li, Guobin Li, Hong-Tao Li, Enhong 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, Shunqin Li, Jiajie Li, Zhao-Yang Li, K-L Li, Xinjia Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Peiwu Li, Youran Li, Yongmei Li, Changyu Li, Ran Li, Peilin Li, X Y Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Z Li, Ye Li, Guanglve 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, Shisheng Li, Shengxu Li, Sai Li, Guangwen Li, Hua Li, Xiuli Li, Dongmei Li, Yulong Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, You Li, Dongfeng Li, Xueyang Li, Xuelin Li, Fa-Hui Li, Caiyu Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, 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, Mingxu Li, Chen-Xi Li, Panlong Li, Dejun Li, Changwei Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin Li, Linke Li, Shuaicheng Li, C Y Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Yongli Li, Z-H Li, Hujie Li, Baohong Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Alexander Li, Yuanmei Li, Yanwu Li, Hualing Li, Wen-juan Li, Sibing Li, Xining Li, Qinghe Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Jingya Li, Huanan Li, Liqin Li, Youjun Li, Zheng-Dao Li, Zhenshu Li, Miao X Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Runwen Li, Wenbo Li, Side Li, Yarong 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, 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, Pan Li, Shengchao A Li, Jiaying Li, Cui-lan Li, Jun-Jie Li, Ruonan Li, Shuhao Li, Huiqiong Li, Ruitong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Ya-Jun Li, Xue Cheng Li, Wenyong Li, Ding-Biao Li, 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, Yingpu Li, Jianglin Li, Yan-Hua Li, Jing-Yao Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, L K Li, Ya-Ting Li, Wan Jie Li, 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, Yuancong Li, Da Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Changhong Li, Ze-An Li, Jianmin Li, Minhui Li, Yu Li, Yvonne Li, Yiwei Li, Zhichao Li, Jiayuan Li, Xiangzhe Li, Minglun Li, Yige Li, Siguang Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chunlan Li, Chiyang 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, Gang Li, Mengxuan Li, Panyuan Li, Ziyu Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Dongnan Li, Huaiyuan Li, Rui-Fang Li, Jianzhong Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Pei-Ying Li, Bing Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shilun Li, Shi-Hong Li, John Zhong Li, Xinyu Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Baohua Li, Nianfu Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Yan-Yan Li, Liwei Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Zu-Ling Li, Jialing Li, Xin Li, Yunjiu Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Yali Li, Zhaoshui Li, Yu-Hui Li, Wenjing Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Kaiyuan Li, Mangmang Li, Zengyang 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, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Huixue Li, Boxuan 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, Min-Rui Li, Hongyu Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Jinxin Li, Ganggang Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Jutang Li, Mengxia Li, Conglin Li, Qingli Li, Yongxiang Li, Miao Li, Songlin Li, Qilong Li, Dijie Li, Chenyu Li, Yizhe Li, Ke Li, Yan Bing Li, Jiani Li, Lianjian Li, Zhen-Hua Li, Yiliang Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Youming Li, Mi Li, Qingrun Li, Dong-Yun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Yumiao Li, Fengfeng Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xiangjun Li, Xingye Li, Junxu Li, Junya Li, Huiying Li, Jiang Li, Shengxian Li, Yuxi Li, Qingyang Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Xuelian Li, Zhenming Li, Chunjun Li, Shu-Fen 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, Xuewang Li, Mei Li, Xiangdong Li, Zhenjia Li, Jifang Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiao-Li Li, Xiaoya Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Chunqiong Li, Huiliang Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yuqiu Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Xiang-Jun Li, Hongyi Li, Chia Li, Y X Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Saijuan Li, Minqi Li, Danxi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Gao-Fei Li, Minghao Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Chanjuan Li, Nan-Nan Li, Hongming Li, Lan-Lan Li, Yanchuan Li, Lingyi Li, Shuang Li, Wanting Li, Bai-Qiang Li, Gong-Hua Li, Zhengyu Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Weiguang Li, Mingyao Li, Guoqing Li, Ze Li, Xiaomeng Li, R H L Li, Yuanze Li, Yunqi Li, Yuandong Li, Guisen Li, Dongyang Li, Jinglin Li, Honglong Li, Mingfang Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Hanbo Li, Jianing Li, Yinggao Li, Dingshan Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Cheng-Tian Li, Jin-Jiang Li, Chang Li, Zhi-Xing Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, Chun-Quan Li, Yongzhen Li, Weifeng Li, Tao Li, Wenhui Li, Sichen Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Lixiang Li, Yuchan 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, Deqiang Li, Y Li, Caixia Li, Mingyue Li, Zipeng Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Ziyang Li, Sitao Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Anqi Li, Bingsong Li, Ting Li, Zhenyu Li, Xiaoju 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, Min-jun Li, Jinhua Li, Qian-Qian Li, Yuanheng Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Junxin Li, Yu-Sheng Li, Wei-Jun Li, Guoyan Li, Fei-Lin Li, Junjie Li, Nuomin Li, Shanglai Li, Yanyan Li, Shulin Li, Taibo Li, Yue Li, Junqin Li, Zhongcai Li, Xueying Li, JunBo Li, Jun-Ru Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Linxin Li, Haihua Li, Yu-Lin Li, Jen-Ming Li, Shujing Li, Tsai-Kun Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Shihong Li, Huifeng Li, Rulin Li, Ya-Pei Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Xiao-Qiang Li, Yangxue Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Pengyang Li, Zhenzhou 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, 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, Long Shan Li, Suping Li, Yanze Li, Jason Li, Xiao-Feng Li, Fengjuan Li, W Li, Monica M Li, Xianlun Li, Qi Li, Hainan Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Xionghui Li, Fei Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Hongmei Li, Kang Li, Peilong Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Quanpeng Li, Wenhong Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Wen-Ting Li, Guohua Li, Kezhen Li, Guoping Li, Xingxing Li, Ellen Li, A Li, Simin Li, Yijie Li, Weiguo Li, Xue-Nan Li, Xiaoying Li, Shengsheng Li, Suwei Li, Shuyu D Li, Ruiwen Li, Jiandong Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Shihao Li, Yazhou Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Shaodan Li, Meng-Hua Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Ming-Hao Li, Donghe Li, Zheng 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, Xiaochen Li, Dongfang Li, Zizhuo Li, Zhuorong Li, X-H Li, Lan-Juan Li, Dong Sheng Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Jinhui Li, Zhifei Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Zhisheng Li, Cuiling Li, Changgui Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Peihua Li, Kai-Wen Li, Suwen Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Chang-Yan Li, Xiaohua Li, Qifang Li, Vivian Li, Duanxiang Li, Xiaolin Li, 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, Xiao-Tong Li, Lingjie Li, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Jin Li, Shibo Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, 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, Ranchang Li, Defu Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Jian'an Li, Guangqiang Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Yu-I Li, Shunhua Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Ziqi Li, Shen Li, Tianjiao Li, Shufen Li, Yunfeng Li, Gui-Rong Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Zhibin Li, Yaxiong Li, Zhenli Li, Qing-Fang Li, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, G Li, Lianbing Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Xiong Bing Li, Hanqin Li, Qingjie Li, Wen Lan Li, Han Li, Guoge Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Caolong Li, Chaojie 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, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Ben-Shang Li, Hong-Lan Li, Mengqing Li, S L Li, Xionghao Li, Ming-Kai Li, Shunqing Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Yongle Li, Ruolin Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Yong-Liang Li, Muzi Li, Gen Li, M Li, Dong-Ling Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Yingxi Li, Caili Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Wenlong Li, Ya-Feng Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shugang Li, Shengli Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, 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, Zhenyan Li, H J Li, Yanping Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, L I Li, Zhengnan 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, 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, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Lihong Li, Chun Li, Jianan Li, Wenfang Li, Haixia Li, Xiangling Li, Sung-Chou Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Zhong Li, Shuang-Ling Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao Li, Dongliang Li, Yinzhen Li, Chenxiao 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, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Chitao Li, Yihan Li, Haiyang Li, Xiaobai Li, Jiayu Li, Junsheng Li, Pingping Li, Wen-Ya Li, Mingquan Li, Rongxia Li, Suran Li, Yunlun Li, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Hongmin Li, Caihong Li, Peng Peng Li, Yajing Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, 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, Fengqiao Li, Di Li, Guiyuan Li, Suk-Yee Li, Yanbing Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Chih-Chi Li, Hongbo Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Xiyue Li, Jun Li, Minghua Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Hongjuan Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Wen-Chao Li, Dan-Ni Li, Sunan Li, Zhencong Li, Chunqing Li, Lai K Li, Jiong Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Xiujuan Li, Yongsheng Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Ding Li, Wendeng Li, Yuling Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Shengze Li, Ming-Yang Li, Linyan Li, Yanjun Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Congcong Li, Ji-Lin Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yinliang Li, Yuehua Li, Wen Li, Jinfeng Li, Shiheng Li, Weihai Li, Jiangan Li, Yu-Kun 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, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Jiazhou Li, Sherly X Li, Zechuan Li, Zhijun Li, Ya-Ge Li, Wanling Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Lixia Li, Zhiwei Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, 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, Haoran Li, Hai-Yun Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Zhixiong Li, Chumei Li, Shijie Li, Lingyan Li, Zhanquan Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Binghua Li, Xuyi Li, Hanjun Li, Yunchu Li, Zhengyao Li, Jin-Qiu Li, Qihua Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, 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, Long-Yan Li, Zhixuan Li, Chuanbao 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, Haibin Li, Shu-Qi Li, Huangbao Li, Zehua Li, Guo-Chun Li, Xinli Li, S Li, Mengyuan Li, Wenqing Li, Wenhua Li, Caiyun Li, Xinrui Li, Congye Li, Dehai Li, Wensheng Li, Jiannan Li, Qingshang 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, Zhiping Li, Yan-Li Li, Haiming Li, Yansen Li, Gaijie Li, Jingfeng Li, Hai Li, Yuemei Li, Yanli Li, Zhi-Yuan Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Xiaohu Li, Wenjie Li, Ruikai Li, Xiao-Hong Li, Mengjuan Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Zhonglian Li, Baosheng Li, Yujun Li, Mian Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Congjiao Li, Peining Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, 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, Ming Xing Li, Zixiao Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Bei-Bei Li, Shishi Li, Hong-Lian Li, Xiumei Li, Haitong Li, Melody M H Li, Ruibing Li, Yuli Li, Qingfang Li, Peibo Li, Qibing Li, Huanjun Li, Heng Li, Wende Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Xiao-Na Li, Tianyou Li, Jipeng Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Longxuan Li, Baoting Li, Huiyou Li, Ka Wan Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing Li, Shunle Li, Niu Li, Shilin Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, Meiqing Li, Zhuanjian Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Youchen Li, Junhong Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Runbing Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Ji-Cheng Li, Jingyi Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Haiyu Li, Huijuan Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Guohui Li, Kainan Li, Yongzhe Li, Qingfeng Li, Xiaoyan Li, Tianyi Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Yuanchuang Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Hongliang Li, Qing-Chang Li, Shengbiao Li, Hong-Yan Li, Yue-Rui Li, Ruidong Li, Dalei Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Sijie Li, Xiaomin 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, Guixia Li, Fengyuan Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Xixi Li, Bingjue Li, Binghu Li, Yan-Chun Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Zhenguang Li, Xiaotian Li, Jia-Ru Li, Shuhui Li, Chun-Xiao Li, Shu-Hong 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, Yongting Li, Xueting Li, Hongxia 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, Zhijia Li, Zhipeng Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaoting Li, Xiaobo Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Weirong Li, Kun-Ping Li, Xiao-Yao Li, Weihua Li, Shangming Li, Yibo Li, Yaqi Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Yanxin Li, Yingjun Li, Xiufeng Li, Xiaohuan Li, Ying-Qin Li, Boya Li, Lamei Li, O Li, Fan Li, Suheng Li, Jun Z Li, Joyce Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Junru Li, Zhiqiang Li, Hecheng Li, Jiangchao Li, Changkai Li, Haifeng Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, 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, Yongpeng Li, Chengjun Li, Keke Li, Chanyuan Li, Jianbin Li, Shiying Li, Jianxiong Li, Ji Li, Huaying Li, Tuojian Li, Yixin Li, Ziyue Li, Zhongzhe Li, Juntong 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, Yuxuan Li, Xuan-Ling Li, Bingshan Li, Xiaoqiang Li, Hanxiao Li, Jiahao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Pengjie Li, Xiaomei Li, Ruijin Li
articles
Fokhrul Hossain, Martha I Gonzalez-Ramirez, Jone Garai +13 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-24
Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer. miRNAs play an essential role in TNBC pathogenesis and prognosis. Obesity is linked with an increased ris Show more
Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer. miRNAs play an essential role in TNBC pathogenesis and prognosis. Obesity is linked with an increased risk for several cancers, including breast cancer. Obesity is also related to the dysregulation of miRNA expression in adipose tissues. However, there is limited knowledge about race- and obesity-specific differential miRNA expression in TNBC. We performed miRNA sequencing of 48 samples (24 tumor and 24 adjacent non-tumor tissues) and RNA sequencing of 24 tumors samples from Black (AA) and White (EA) TNBC patients with or without obesity. We identified 55 miRNAs exclusively associated with tumors in obese EA patients and 33 miRNAs in obese AA patients, each capable of distinguishing tumor tissues from obese from lean individuals within their respective racial groups. In EA, we detected 41 significant miRNA-mRNA correlations. Notably, miR-181b-5p and miR-877-5p acted as negative regulators of tumor-suppressor genes (e.g., Show less
📄 PDF DOI: 10.3390/ijms26189101
HEY2
Ding-Lun Meng, Qing-Yan Wang, Xin Zhang +5 more · 2025 · Sheng li xue bao : [Acta physiologica Sinica] · added 2026-04-24
The prevalence of depression, a common mental disorder in clinical practice, has been continuously increasing in recent years, with its intricate etiology and pathogenesis incompletely understood. Mic Show more
The prevalence of depression, a common mental disorder in clinical practice, has been continuously increasing in recent years, with its intricate etiology and pathogenesis incompletely understood. MicroRNA (miRNA), a highly conserved and widely distributed genetic regulatory factor in eukaryotic organisms, plays a crucial role in the pathophysiology of depression. miR-132, a miRNA molecule specifically enriched in the central nervous system, has emerged as a significant focus in the study of depression. miR-132 is involved in the pathogenesis by modulating critical processes such as dendritic spine remodeling and synaptic efficacy. Current research confirms that the expression profile of miR-132 in peripheral blood and brain tissue samples from animal models of depression shows significant abnormal fluctuations, and its expression level is dose-dependently associated with disease severity, progression, and treatment response. Therefore, this article focuses on a few key elements, including brain-derived neurotrophic factor, neuroinflammatory cascade reactions, neurogenesis, and plasticity, to comprehensively examine the potential role of miR-132 expression in the onset and progression of depression. This review also aims to provide a theoretical foundation for future in-depth research and clinical applications in the field of depression therapy. Show less
no PDF DOI: 10.13294/j.aps.2025.0074
BDNF
Chao Fu, Yan Gong, Xiangyang Gao +8 more · 2025 · BMC gastroenterology · BioMed Central · added 2026-04-24
📄 PDF DOI: 10.1186/s12876-025-04130-4
APOB
Guoshang Ji, Junxing Zhang, Hui Sheng +9 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Endometritis in dairy cows involves complex molecular regulatory mechanisms. Therefore, uncovering the molecular regulatory mechanisms of endometritis in dairy cows is crucial to understand its develo Show more
Endometritis in dairy cows involves complex molecular regulatory mechanisms. Therefore, uncovering the molecular regulatory mechanisms of endometritis in dairy cows is crucial to understand its development, prevention, and treatment. This study aimed to screen and validate key genes associated with endometritis using transcriptome sequencing of blood samples and previously obtained metabolomic sequencing data. Based on gain-of-function and loss-of-function experiments on the gene, multiple techniques, including qRT-PCR, western blotting, detection of reactive oxygen species (ROS), measurement of mitochondrial membrane potential, EdU assay, flow cytometry, and CCK-8 assay were used to explore the function of the key gene in lipopolysaccharide (LPS)-stimulated bovine endometrial epithelial cells (BEECs). The results identified 536 differentially expressed genes (DEGs) between healthy cows and those with endometritis. These DEGs were significantly enriched in apoptosis and HIF-1 signaling pathways. Weighted gene co-expression network analysis of transcriptomic and metabolomic data identified CD83, CTNNAL1, LRRC25, and NR1H3 as potential key genes for endometritis in dairy cows, with CD83 being more significantly expressed in LPS-induced BEECs. Consequently, in vitro functional studies were performed on CD83. In overexpression experiments, downregulation of the expression of inflammatory markers interleukin (IL)-1β, IL-6, and IL-8 and reduced ROS release primarily indicated the role of CD83 in attenuating the inflammatory response of BEECs. Furthermore, overexpression of CD83 regulated the S/G2 phase transition of BEECs by affecting the mRNA and protein expression of proliferation marker genes, thereby promoting proliferation of BEECs. The increased EdU positivity and the cell proliferation rate further provided evidence for the promotion of cell proliferation after overexpression of CD83. Additionally, overexpression of CD83 attenuated LPS-stimulated mitochondrial damage in BEECs, as well as the downregulation of apoptosis marker gene expression. In contrast, knockdown of CD83 expression showed the opposite trend. In summary, CD83 attenuated the inflammatory response of BEECs, promoted their proliferation, and inhibited apoptosis. This study provided basic data for understanding the mechanisms of endometritis regulation at the gene level in dairy cows. Show less
no PDF DOI: 10.1016/j.intimp.2025.114183
NR1H3
Meng Wang, Zhao Liu, Shuxun Ren +16 more · 2025 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.105894
BCKDK
Xianqi Feng, Xueting Bai, Hong Zhang +7 more · 2025 · Journal of hematopathology · Springer · added 2026-04-24
Background Myeloid/lymphoid neoplasm with eosinophilia and rearrangement of FGFR1(MLN-FGFR1), also referred to as 8p11 myeloproliferative syndrome (EMS), arises from aberrant FGFR1 gene rearrangement Show more
Background Myeloid/lymphoid neoplasm with eosinophilia and rearrangement of FGFR1(MLN-FGFR1), also referred to as 8p11 myeloproliferative syndrome (EMS), arises from aberrant FGFR1 gene rearrangement in bone marrow hematopoietic stem cells, resulting in the transformation of myeloid/lymphoid cells into neoplastic growths. The clinical and laboratory features of affected individuals are influenced by the specific partner genes. Purpose This article aims to report a case of MLN-FGFR1 involving a novel CNTRL::FGFR1 splicing variant and to discuss its clinicopathological characteristics and treatment challenges. Methods/Results We report a case of MLN-FGFR1 in a 35-year-old male patient presenting with leukocytosis, lymphadenopathy, hepatosplenomegaly, and a mixed population of B lymphoblasts, T lymphoblasts, and monoblasts in the bone marrow and lymph nodes. Comprehensive molecular profiling, including chromosomal karyotyping, fluorescence in situ hybridization (FISH), targeted transcriptome sequencing, reverse transcription polymerase chain reaction (RT-PCR), and Sanger sequencing, identified a novel splicing variant of the CNTRL::FGFR1 fusion, resulting from a t(8;9)(p11;q33) translocation. This novel splicing variant involves an in-frame fusion between exon 38 of CNTRL and exon 11 of FGFR1, retaining the kinase domain of FGFR1 and leading to its constitutive activation. Despite multiple treatment regimens, the patient failed to achieve complete remission (CR). Conclusion The findings highlight the urgent need for targeted therapies, such as FGFR inhibitors, to improve outcomes in patients with FGFR1-rearranged malignancies. Show less
📄 PDF DOI: 10.1007/s12308-025-00670-6
FGFR1
Zhaowei Zhu, Rui Kuang, Shouwen Su +9 more · 2025 · Cellular & molecular biology letters · BioMed Central · added 2026-04-24
Phenotypic transformation of Schwann cells (SCs) plays a crucial role in nerve regeneration. Previous studies have demonstrated that Runx2 significantly influences the biological behavior of SCs. None Show more
Phenotypic transformation of Schwann cells (SCs) plays a crucial role in nerve regeneration. Previous studies have demonstrated that Runx2 significantly influences the biological behavior of SCs. Nonetheless, the regulatory mechanisms that govern its epigenetic regulation are not yet fully elucidated. To facilitate this investigation, an adenovirus for the overexpression of Runx2 was constructed. Healthy adult Sprague-Dawley rats, weighing between 100 and 150 g and irrespective of sex, were randomly selected for the study. After establishing a model of sciatic nerve crush injury, tissue samples were harvested for histological analysis at both 4 and 7 days post-injury. In vitro, an Runx2-overexpressing SC line was established. Thorough analysis of transcriptome data, coupled with CUT&Tag sequencing of histones and transcription factors in SCs following Runx2 overexpression, was conducted. Additionally, single-cell RNA sequencing data from GSE216665 were incorporated to elucidate the mechanistic role of Runx2. The findings were subsequently validated through dual-luciferase assays. Following nerve crush injury, Runx2-positive SCs were identified at the injury site. Through comprehensive multiomics analysis, we discovered that lipid metabolism was disrupted in Runx2-overexpressing SCs. Further investigation established a detailed super-silencer landscape in these cells, revealing that elevated Runx2 levels form a super-silencer within the transcriptional regulatory region of the Lpl gene, thereby downregulating Lpl expression. Runx2 can modulate the biological behavior of SCs by forming super-silencers that interfere with the expression of lipid metabolism genes, such as Lpl, thereby altering the metabolic capacity of SCs. Show less
📄 PDF DOI: 10.1186/s11658-025-00796-6
LPL
Guoshuai Xu, Qinghong Zhang, Renjia Cheng +2 more · 2025 · Autophagy · Taylor & Francis · added 2026-04-24
Macropinocytosis is a nonselective form of endocytosis that allows cancer cells to largely take up the extracellular fluid and its contents, including nutrients, growth factors, etc. We first elaborat Show more
Macropinocytosis is a nonselective form of endocytosis that allows cancer cells to largely take up the extracellular fluid and its contents, including nutrients, growth factors, etc. We first elaborate meticulously on the process of macropinocytosis. Only by thoroughly understanding this entire process can we devise targeted strategies against it. We then focus on the central role of the MTOR (mechanistic target of rapamycin kinase) complex 1 (MTORC1) in regulating macropinocytosis, highlighting its significance as a key signaling hub where various pathways converge to control nutrient uptake and metabolic processes. The article covers a comprehensive analysis of the literature on the molecular mechanisms governing macropinocytosis, including the initiation, maturation, and recycling of macropinosomes, with an emphasis on how these processes are hijacked by cancer cells to sustain their growth. Key discussions include the potential therapeutic strategies targeting macropinocytosis, such as enhancing drug delivery via this pathway, inhibiting macropinocytosis to starve cancer cells, blocking the degradation and recycling of macropinosomes, and inducing methuosis - a form of cell death triggered by excessive macropinocytosis. Targeting macropinocytosis represents a novel and innovative approach that could significantly advance the treatment of cancers that rely on this pathway for survival. Through continuous research and innovation, we look forward to developing more effective and safer anti-cancer therapies that will bring new hope to patients. Show less
no PDF DOI: 10.1080/15548627.2025.2452149
PIK3C3
Yao Zheng, Jiajia Li, Haojun Zhu +3 more · 2025 · Comparative biochemistry and physiology. Toxicology & pharmacology : CBP · Elsevier · added 2026-04-24
Studies showed that contaminants adhered to the surface of nano-polystyrene microplastics (NPs) have a toxicological effect. Juveniles tilapia were dispersed into four groups: the control group A, 75  Show more
Studies showed that contaminants adhered to the surface of nano-polystyrene microplastics (NPs) have a toxicological effect. Juveniles tilapia were dispersed into four groups: the control group A, 75 nm NPs exposed group B, 5 ng·L Show less
no PDF DOI: 10.1016/j.cbpc.2024.110117
LPL
Xianqi Shen, Zijian Li, Yuchuan Shi +5 more · 2025 · Translational andrology and urology · added 2026-04-24
Poly(A) binding protein cytoplasmic 4 (PABPC4) has been regarded as a prognostic marker in many malignancies. In this study, we evaluated PABPC4 expression at both messenger ribonucleic acid (mRNA) an Show more
Poly(A) binding protein cytoplasmic 4 (PABPC4) has been regarded as a prognostic marker in many malignancies. In this study, we evaluated PABPC4 expression at both messenger ribonucleic acid (mRNA) and protein levels. The prognostic value of PABPC4 in patients with prostate cancer (PCa) was also investigated. The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database, our analysis of Chinese Prostate Cancer Genome and Epigenome Atlas (CPGEA), and 65 pairs of ribonucleic acid (RNA) sequencing data from our center were employed to detect the expression of PABPC4 in PCa tissues. Tissue microarrays (TMAs) were utilized to detect the expression of the PABPC4 protein, and survival analysis as well as risk factor analysis were conducted. In the 65 pairs of sequencing data, the expression of PABPC4 in tumor tissues was significantly higher than that in paired adjacent tissues (P<0.001), and its expression also presented significant differences among different Gleason groups (P=0.041). In the CPGEA data, the expression of PABPC4 in tumor tissues was significantly higher than that in control tissues (P<0.001), and the expression of PABPC4 in M1 patients was higher than that in M0 patients, although no significant statistical difference was shown (P=0.051). In the TCGA data, the expression of PABPC4 in tumor tissues was significantly higher than that in control tissues (P<0.001). The expression of pT3/4 (pathological tumor stage 3 and pathological tumor stage 4) in high-stage tumor tissues was significantly higher than that in low-stage tumor tissues (pT2) (P=0.02), the expression of pT3/4 in GSE21034 and GSE32571 tumor tissues was significantly higher than that in control tissues (P<0.001), and the expression of pT3/4 in primary tumor tissues was higher than that in metastatic tissues in GSE6752 (P<0.001). The TCGA data revealed that patients with high PABPC4 expression had poorer overall survival (OS) than those with low PABPC4 expression (P=0.04), and the TMA data indicated that patients with high PABPC4 expression had a poor prognosis (P=0.004). Our study demonstrated that PABPC4 was overexpressed at mRNA and protein levels in PCa. We found that patients with high PABPC4 expression had a shorter biochemical recurrence (BCR)-free survival and OS, showing its value as a prognostic biomarker in patients with PCa. Show less
no PDF DOI: 10.21037/tau-2025-19
PABPC4
Julia Brandts, Fotios Barkas, Dirk De Bacquer +34 more · 2025 · European journal of preventive cardiology · Oxford University Press · added 2026-04-24
To quantify international variations in lipid-lowering therapies (LLT) use among patients with coronary heart disease (CHD) and attainment of European guideline-recommended lipid goals. INTERASPIRE is Show more
To quantify international variations in lipid-lowering therapies (LLT) use among patients with coronary heart disease (CHD) and attainment of European guideline-recommended lipid goals. INTERASPIRE is an observational study (2020-23) covering 14 countries from all WHO regions. Patients (18-79 years) hospitalized in the preceding 6-36 months with CHD were invited for standardized interviews and examination, with central laboratory analyses for low-density lipoprotein cholesterol (LDL-C), non-HDL-C, and apolipoprotein B (apoB). Valid lipid data meeting quality control standards were available from 13 countries. Lipid goals followed the 2019 guidelines of the European Atherosclerosis Society and the European Society of Cardiology: LDL-C < 1.4 mmol/L, non-HDL-C < 2.2 mmol/L, and apoB <65 mg/dL.Among 4061 patients (78.8% male, mean age 60.3 years), between index event and interview, 66.3% had no change in treatment intensity. LLT use at interview was largely statin monotherapy: 49.6% high-intensity (inter-country range 5.3%-77.3%) and 24.1% low/moderate-intensity (inter-country range 5.1%-70.1%). Otherwise, 12.2% (inter-country range 0.2%-41.1%) were on combination therapy, and 12.7% on no LLT (inter-country range 3.5%-36.7%). Goal attainment for LDL-C was 17.5%. Corresponding non-HDL-C and apoB goals were achieved by 29.9% and 29.2%, respectively. Higher-income countries (defined by the World Bank's 2024-25 classification of income levels) did better in goal attainment than lower-middle-income countries. In this international study, contemporary lipid goals were not achieved in most CHD patients, with lower-middle-income countries having the worst goal attainment. Contributory factors include absence of any LLT use, low use of combinations and a failure to up-titrate LLT to achieve guideline targets. Show less
no PDF DOI: 10.1093/eurjpc/zwaf388
APOB
Haixiong Tang, Lin Fu, Changyun Yang +9 more · 2025 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Cadherin-11 (CDH11), a specialized cell-cell adhesion protein, plays an essential role in tissue injury, inflammation and repair. This study aimed to investigate the role of CDH11 in severe asthma. Br Show more
Cadherin-11 (CDH11), a specialized cell-cell adhesion protein, plays an essential role in tissue injury, inflammation and repair. This study aimed to investigate the role of CDH11 in severe asthma. Bronchial biopsy specimens were obtained from healthy subjects and patients with severe asthma. Two murine models of severe asthma were established using either TDI (toluene diisocyanate) or OVA (ovalbumin)/CFA (complete Freund's adjuvants). A selective CDH11 antagonist SD133 (100 mg/kg) was given to allergen-exposed mice after airway challenge. The effects of recombinant CDH11 were also tested in vivo, and FGFR1 inhibition was used to explore a possible mechanism for CDH11-induced inflammatory responses in the lung. We detected upregulated expression of CDH11 in the airway mucosa of severe asthma patients when compared with the healthy control. In the OVA/CFA-induced model, though CDH11 expression in the lung remained unchanged, pharmacological antagonism of CDH11 with SD133 dramatically decreased airway neutrophil accumulation, as well as IL-6 production, but had no effect on eosinophilic infiltration, type 2 inflammation (IL-4 and IL-5) nor airway hyperresponsiveness. In the TDI model, pulmonary CDH11 expression was upregulated. Treatment with SD133 inhibited TDI-induced airway hyperresponsiveness and neutrophilic inflammation, decreased IL-6 and TNF-α production, with no effect on airway eosinophil counts and type 2 inflammatory cytokines. In addition, intratracheal instillation of recombinant CDH11 led to neutrophil recruitment in the lungs of mice, which could be attenuated by inhibition of FGFR1 signaling. CDH11 contributes to airway neutrophilic inflammation in severe asthma through the FGFR1 pathway. Show less
no PDF DOI: 10.1096/fj.202501899RR
FGFR1
Jianying Wang, Lingye Hong, Yao Li +5 more · 2025 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Bi-allelic pathogenic variants in A two-month-old infant died from sudden-onset acute heart failure. We performed a full forensic autopsy with detailed histological examination and conducted trio-base Show more
Bi-allelic pathogenic variants in A two-month-old infant died from sudden-onset acute heart failure. We performed a full forensic autopsy with detailed histological examination and conducted trio-based whole-exome sequencing (WES) on the proband and parents to identify the genetic etiology. Postmortem examination revealed severe HCM, an atrial septal defect (ASD), and extensive myocardial necrosis and fibrosis. WES identified compound heterozygous pathogenic variants in This "molecular autopsy" established a definitive cause for the infant's death, linking a novel variant to a severe pathological phenotype. Crucially, the diagnosis guided the clinical management of the asymptomatic carrier parents, prompting long-term cardiac surveillance and enabling preimplantation genetic testing (PGT) for future family planning. This case demonstrates how integrating molecular diagnostics with forensic pathology facilitates a systems medicine approach, transforming a fatal index case into actionable preventive care for the entire family. Show less
📄 PDF DOI: 10.3389/fcvm.2025.1726463
MYBPC3
Ping Huang, Yong Zhao, Haiyan Wei +8 more · 2025 · International journal of chronic obstructive pulmonary disease · added 2026-04-24
In preliminary research and literature review, we identified a potential link between chronic obstructive pulmonary disease (COPD) and lipid metabolism. Therefore, this study employed Mendelian random Show more
In preliminary research and literature review, we identified a potential link between chronic obstructive pulmonary disease (COPD) and lipid metabolism. Therefore, this study employed Mendelian randomization (MR) analysis to investigate the potential causal connection between blood lipids and COPD. A genome-wide association study (GWAS) on COPD was conducted, encompassing a total of 112,583 European participants from the MRC-IEU. Additionally, extensive UK Biobank data pertaining to blood lipid profiles within European cohorts included measurements for low-density lipoprotein cholesterol (LDL-C) with 440,546 individuals, high-density lipoprotein cholesterol (HDL-C) with 403,943 individuals, triglycerides (TG) with 441,016 individuals, total cholesterol (TC) with 187,365 individuals, apolipoprotein A-I (apoA-I) with 393,193 individuals, and apolipoprotein B (apoB) with 439,214 individuals. Then, MR analyses were performed for lipids and COPD, respectively. The primary analytical technique employed was the inverse-variance weighted (IVW) approach, which included a 95% confidence interval (CI) to calculate the odds ratio (OR). Additionally, a sensitivity analysis was conducted to assess the dependability of the MR analysis outcomes. MR analysis was primarily based on IVW, unveiled a causal link between COPD and LDL-C (OR=0.994, 95% CI (0.989, 0.999), P=0.019), TG (OR=1.005, 95% CI (1.002, 1.009), P=0.006), and apoA-I (OR=0.995, 95% CI (0.992, 0.999), P=0.008), in addition, no causal link was found with HDL-C, TC, apoB. Sensitivity analysis demonstrated the robustness of these causal relationships. However, through multivariate MR(MVMR) and multiple testing correction, LDL-C and TG had no causal effect on the outcome. ApoA-I remained a protective factor for the risk of COPD (OR=0.994, 95% CI (0.990-0.999), P=0.008). Through MR analysis, this study offers evidence of a causal link between apoA-I with COPD. This further substantiates the potential role of lipid metabolism in COPD, and has significant clinical implications for the prevention and management of COPD. Show less
📄 PDF DOI: 10.2147/COPD.S476833
APOB

Targeting

Brian A Bergmark, Nicholas A Marston, Thomas A Prohaska +16 more · 2025 · The New England journal of medicine · added 2026-04-24
Highly effective therapies to reduce triglyceride levels are lacking. Olezarsen is an In this phase 3, international, double-blind, randomized, placebo-controlled trial, we enrolled patients with mode Show more
Highly effective therapies to reduce triglyceride levels are lacking. Olezarsen is an In this phase 3, international, double-blind, randomized, placebo-controlled trial, we enrolled patients with moderate hypertriglyceridemia (triglyceride level, 150 to 499 mg per deciliter) and elevated cardiovascular risk or with severe hypertriglyceridemia (triglyceride level, ≥500 mg per deciliter) and randomly assigned them in a 1:3 ratio to a 50-mg or 80-mg cohort. The patients were then randomly assigned in a 3:1 ratio to receive monthly subcutaneous olezarsen or matching placebo within each cohort. The primary outcome was the least-squares mean percent change in triglyceride level from baseline to 6 months among the patients with moderate hypertriglyceridemia, reported as the difference between each olezarsen dose group and the placebo group (the placebo-adjusted change). A total of 1349 patients (254 in the olezarsen 50-mg group, 766 in the olezarsen 80-mg group, and 329 in the placebo group) were included in the primary efficacy analysis. The median age was 64 years, 40% of the patients were women, and the median triglyceride level at baseline was 238.5 mg per deciliter (interquartile range, 190.5 to 307.5). At 6 months, the placebo-adjusted least-squares mean change in triglyceride level was -58.4 percentage points (95% confidence interval [CI], -65.1 to -51.7; P<0.001) in the olezarsen 50-mg group and -60.6 percentage points (95% CI, -67.1 to -54.0; P<0.001) in the olezarsen 80-mg group. The incidence of serious adverse events appeared to be similar across the trial groups. Among patients with moderate hypertriglyceridemia and elevated cardiovascular risk, treatment with olezarsen resulted in significantly greater reduction in triglyceride levels at 6 months than placebo. (Funded by Ionis Pharmaceuticals; ESSENCE-TIMI 73b ClinicalTrials.gov number, NCT05610280.). Show less
no PDF DOI: 10.1056/NEJMoa2507227
APOC3
Defu Tie, Yuting Wang, Jieru Zhou +6 more · 2025 · Pharmaceuticals (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ph18121786
BDNF
Weiyao Zhu, Yu Wang, Ming Qin +3 more · 2025 · Aging and disease · added 2026-04-24
Alzheimer's disease (AD) represents a neurodegenerative condition characterized by steadily increasing prevalence and incidence, arising significant challenge to both patients and social insurance. Ho Show more
Alzheimer's disease (AD) represents a neurodegenerative condition characterized by steadily increasing prevalence and incidence, arising significant challenge to both patients and social insurance. However, the etiology of AD remains controversial so far, and pathogenesis is far more complicated. Presently, no definitive therapeutic methodologies were available for AD, and only partial symptomatic relief can be achieved. Consequently, early diagnosis and intervention are emergently needed for AD patients. The diagnostic criteria for AD are continuously evolving, and biomarker testing is becoming increasingly critical for diagnosis. Currently, the diagnosis of AD primarily relies on the detection of pathological proteins through cerebrospinal fluid (CSF) testing and positron emission tomography (PET). However, factors such as high costs, operational contraindications, and invasiveness limited the application of these technologies, making them particularly challenging to implement in large-scale clinical trials and screenings. Core fluid biomarkers for AD including β-amyloid (Aβ), phosphorylated tau protein (p-tau), total tau protein (t-tau), and their combinations were found in CSF. Although these biomarkers were demonstrated with significant specificity and sensitivity, challenges remain high concerning the collection of CSF. Blood-derived biomarkers for Aβ and tau proteins are essential for preliminary screening, diagnosis, and monitoring of AD. Additionally, other bodily fluids such as saliva, urine, and tears have been investigated for their potential as biomarkers, offering unique characteristics and applications. Emerging biomarkers, including neurofilament light chain (NfL), neurogranin (Ng), Beta-site APP cleaving enzyme 1 (BACE1), synaptosome associated protein 25 (SNAP-25), as well as inflammation-related and gene-related factors, provided valuable insights into the diagnosis and pathogenesis of AD from diverse perspectives. Despite the substantial progress made in AD biomarker research, there are still baskets of limitations concerning the complication of the disease. The current review focused on the reported literature to summarize the biomarkers associated with AD. By critically analyzing studies published over the past decade, we aimed to strengthen the recent research progress, theoretical frameworks, and unresolved challenges related to AD biomarkers. Show less
no PDF DOI: 10.14336/AD.2025.0761
BACE1
Xiaolei Song, Chenchen Wang, Qin Ding +8 more · 2025 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is an irreversible and progressive neurodegenerative disorder. The vicious circle between amyloid-β peptide (Aβ) overgeneration and microglial dysfunction is an important path Show more
Alzheimer's disease (AD) is an irreversible and progressive neurodegenerative disorder. The vicious circle between amyloid-β peptide (Aβ) overgeneration and microglial dysfunction is an important pathological event that promotes AD progression. However, therapeutic strategies toward only Aβ or microglial modulation still have many problems. Herein, inspired by the Aβ transportation, an Aβ-derived peptide (CKLVFFAED) engineered biomimetic nanodelivery system (MK@PC-R NPs) is reported for realizing BBB penetration and reprogram neuron and microglia in AD lesion sites. This hollow mesoporous Prussian blue-based MK@PC-R NPs carrying curcumin and miRNA-124 can down-regulate β secretase expression, thereby inhibiting Aβ production and reducing Aβ-induced neurotoxicity. Meanwhile, MK@PC-R NPs with excellent antioxidant and anti-inflammatory properties could normalize the microglial phenotype and promote Aβ degradation, providing neuroprotection. As expected, after treatment with MK@PC-R NPs, the Aβ burdens, neuron damages, neuroinflammation, and memory deficits of transgenic AD mice (APP/PS1 mice) are significantly attenuated. Overall, this biomimetic nanodelivery system with anti-Aβ and anti-inflammatory properties provides a promising strategy for the multi-target therapy of early AD. Show less
no PDF DOI: 10.1016/j.jconrel.2024.12.060
BACE1
Xiaolan Chen, Jin You, Qin Ma +7 more · 2025 · Nature communications · Nature · added 2026-04-24
R-loop is a common chromatin feature consisting of a displaced single-stranded DNA and an RNA-DNA hybrid, and dysregulation of R-loop surveillance results in genomic and transcriptomic instability. Al Show more
R-loop is a common chromatin feature consisting of a displaced single-stranded DNA and an RNA-DNA hybrid, and dysregulation of R-loop surveillance results in genomic and transcriptomic instability. Although the RNA moiety of most R-loops originates from linear transcripts, circular RNAs (circRNAs), outputs from back-splicing, can also hybridize with the complementary strand of a DNA duplex. However, how circRNA-associated R-loops (ciR-loops) are monitored remains elusive. Here, we identify the DEAD-box RNA helicase Brr2 as an evolutionarily-conserved ciR-loop repressor with dual roles in inhibiting circRNA generation and resolving harmful ciR-loops. Accumulation of ciR-loops caused by loss-of-function of this dual-action factor induces antisense transcription and premature transcription termination for many genes and generates significant DNA damage, which further leads to a series of defects in DNA replication, cell division and cell proliferation. We propose that functional integration of multilayered regulation by a single protein can be an efficient double protection against genome instability. Show less
📄 PDF DOI: 10.1038/s41467-025-64174-8
DHX36
Sotirios Tsimikas, Henry N Ginsberg, Veronica J Alexander +5 more · 2025 · Journal of clinical lipidology · Elsevier · added 2026-04-24
Familial chylomicronemia syndrome (FCS) is diagnosed by genetic or nongenetic criteria. To assess responses to treatment of apolipoprotein (apo)C-III, triglycerides, and pancreatitis events in patient Show more
Familial chylomicronemia syndrome (FCS) is diagnosed by genetic or nongenetic criteria. To assess responses to treatment of apolipoprotein (apo)C-III, triglycerides, and pancreatitis events in patients with FCS-based diagnostic methods. APPROACH enrolled 66 patients with FCS randomized to volanesorsen or placebo for 12 months. In 50 participants, genetic confirmation of FCS was based on the presence of pathogenic bi-allelic variants in LPL, APOC2, APOA5, GPIHBP1, or LMF1 genes. In 16 participants without a genetic diagnosis, FCS was diagnosed using clinical criteria and postheparin lipoprotein lipase activity ≤20% of normal. Plasma levels of apoC-III, triglycerides and related variables were measured at 3, 6, and 12 months. No significant differences were present in mean apoC-III reductions with volanesorsen at 3, 6, or 12 months in patients with FCS diagnosed either genetically or nongenetically. In contrast, the triglyceride reductions were statistically less robust in patients with genetic diagnosis at each timepoint, with mean (95% CI) percent reduction in triglycerides of -68.7% (-78.7, -58.6) vs -84.0% (-99.4, -68.6), P = .014 at Month 3; -58.2% (-78.1, -38.2) vs -84.5% (-122.4, -46.7), P = .009 at Month 6; and -35.6% (-57.7, -13.4) vs. -69.0% (-105.0, -33.1), P = .005 at Month 12. Patients with a genetic diagnosis had significantly lower response rates for achieved triglycerides <500 mg/dL, <750 mg/dL, <880 mg/dL and <1000 mg/dL than patients with a nongenetic diagnosis. All 5 episodes of acute pancreatitis occurred in patients with a genetic diagnosis. For a similar reduction in apoC-III in response to volanesorsen, triglyceride reduction is attenuated in patients with genetically vs nongenetically diagnosed FCS. Show less
no PDF DOI: 10.1016/j.jacl.2024.12.018
APOA5
Lu Shen, Wenqing Zhai, Ping Jiang +6 more · 2025 · American journal of preventive cardiology · Elsevier · added 2026-04-24
Recent researches highlight the interdependence of lipoprotein(a) [Lp(a)] and Lp(a)-associated cardiovascular risk with the background inflammatory burden. This study aimed to investigate whether syst Show more
Recent researches highlight the interdependence of lipoprotein(a) [Lp(a)] and Lp(a)-associated cardiovascular risk with the background inflammatory burden. This study aimed to investigate whether systemic inflammation modulates Lp(a)-associated coronary stenosis in chronic coronary syndromes (CCS). A total of 1513 participants undergoing angiography at a tertiary cardiology center in China were included in our retrospective, cross-sectional study. Participants were categorized into normal, mild, and severe groups based on the Gensini Scores, which quantitatively assess stenosis severity. Multinomial logistic models were calculated according to accompanying systemic inflammation concentration. Participants with elevated Lp(a) levels had a high coronary stenosis risk: fully adjusted model odds ratios (ORs) [95% confidence intervals (CIs)] for the mild vs. normal and severe vs. normal groups were 1.47 (1.11-1.96) and 1.68 (1.21-2.33). Notably, the strongest Lp(a)-coronary stenosis associations after multi-variable adjustment persisted only in low inflammation concentration [systemic inflammation response index (SIRI) < 0.64)] [mild vs. normal, OR 2.03, 95% CI 1.17-3.54, Elevated Lp(a) correlates with coronary stenosis only in low inflammation concentration. Considering systemic inflammation in personalized Lp(a)-lowering therapies is more conducive for CCS managements. Show less
📄 PDF DOI: 10.1016/j.ajpc.2025.101324
LPA
Tong Chen, Jiawei Zhou, Mengfan Li +9 more · 2025 · BMC genomics · BioMed Central · added 2026-04-24
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still uncl Show more
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still unclear. This study integrated proteomics and lactylation profiles from the longissimus thoracis (LT) muscles of pigs with extremely high (IMF_H) and extremely low (IMF_L) IMF content to clarify the association between lactylation and porcine fat deposition. Furthermore, an intramuscular preadipocyte induction and differentiation model was conducted to elucidate the changes in lactylation during adipocyte differentiation. Finally, the regulatory role of lactylation in adipocyte differentiation was explored by modulating lactate production during the induction and differentiation of preadipocytes. Proteomic analysis revealed significantly increased expression of key lipid metabolism related proteins (FASN, APOA4, FABP4, ACLY, PLIN1) in IMF_H pig muscle tissues compared with IMF_L tissues, along with substantial activation of lipid metabolism pathways. Lactylation profiling identified 95 differential lysine sites across 56 proteins, with most showing lower lactylation levels in the IMF_H group. The integrative omics analysis revealed differences in lactylation profiles in porcine LT tissues with varying efficiencies of IMF deposition, highlighted PGK1, PKM, and PYGM as central lactylation-modified proteins in porcine fat deposition regulation. Further in vitro study proved that lactate-mediated lactylation inhibited adipogenic differentiation of porcine intramuscular preadipocytes through PPARγ signaling pathway. This study clarified the changes in the lactylation profile in porcine LT tissues with varying efficiencies of IMF deposition, and demonstrated that lactate-mediated lactylation inhibits the PPARγ signaling pathway and the adipogenic differentiation of porcine intramuscular preadipocyte. This study provided a new insight to understanding the epigenetic regulation mechanisms of lipid deposition in pigs. Show less
📄 PDF DOI: 10.1186/s12864-025-12428-6
APOA4
Zejun Fan, Zhenyu Li, Yiqing Jin +9 more · 2025 · Life medicine · Oxford University Press · added 2026-04-24
Recent advances in human blastoids have opened new avenues for modeling early human development and implantation. Human blastoids can be generated in large numbers, making them well-suited for high-th Show more
Recent advances in human blastoids have opened new avenues for modeling early human development and implantation. Human blastoids can be generated in large numbers, making them well-suited for high-throughput screening. However, automated methods for evaluating and characterizing blastoid morphology are lacking. We developed a deep-learning model-deepBlastoid-for automated classification of live human blastoids using only brightfield images. The model processes 273.6 images per second with an average accuracy of 87%, which is further improved to 97% by integrating a Confidence Rate metric. deepBlastoid outperformed human experts in throughput while matching accuracy in blastoid classification. We demonstrated the utility of the model in two use cases: (i) systematic assessment of the effect of lysophosphatidic acid (LPA) on blastoid formation and (ii) evaluating the impact of dimethyl sulfoxide (DMSO) on blastoid formation. The evaluation results of deepBlastoid using over 10,000 images were consistent with the known drug effects and showed subtle but significant effects that might have been overlooked in manual assessments. The publicly available deepBlastoid model enables researchers to train customized models based on their imaging and protocols, providing an efficient, automated tool for blastoid classification with broad applications in research, drug screening, and Show less
📄 PDF DOI: 10.1093/lifemedi/lnaf026
LPA
Huangao Zhou, Hao Pan, Xiangwei Li +4 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Post traumatic stress disorder (PTSD) is a serious and persistent mental diseases. Nowadays, Treatment of PTSD patients in clinical practice is mainly based on drug therapy accompanied by psychologica Show more
Post traumatic stress disorder (PTSD) is a serious and persistent mental diseases. Nowadays, Treatment of PTSD patients in clinical practice is mainly based on drug therapy accompanied by psychological therapy. However, the therapeutic effect is unsatisfactory. It is urgent to detect how to treat PTSD patients. Here, we found that ginsenoside can significantly relieve PTSD symptoms in mice model. Rg3, one of the main pharmacological components of ginsenoside, prevents PTSD by promoting alternatively activated M2 phenotype microglia while inhibiting classically activated inflammatory M1 phenotype microglia. Mechanistically, Rg3 up-regulates fibroblast growth factor receptor 1 (FGFR1) expression in microglia to suppress excessive activation of microglia and reduce neuronal apoptosis. Importantly, knocking down FGFR1 expression in BV2 cells promoted a pro-inflammatory phenotype of BV2 cells, while over-expressing FGFR1 reversed this effect. In vivo PTSD mice model results showed that knockdown FGFR1 prevents the therapeutic effect of Rg3, which indicates that FGFR1 is an essential target of PTSD. Our results reveal that Rg3 may be a potential drug to treat PTSD patients. Show less
no PDF DOI: 10.1016/j.intimp.2024.113763
FGFR1
Shan Geng, Shan Yang, Xuejiao Tang +10 more · 2025 · The EMBO journal · Nature · added 2026-04-24
Communication of gut hormones with the central nervous system is important to regulate systemic glucose homeostasis, but the precise underlying mechanism involved remain little understood. Nesfatin-1, Show more
Communication of gut hormones with the central nervous system is important to regulate systemic glucose homeostasis, but the precise underlying mechanism involved remain little understood. Nesfatin-1, encoded by nucleobindin-2 (NUCB2), a potent anorexigenic peptide hormone, was found to be released from the gastrointestinal tract, but its specific function in this context remains unclear. Herein, we found that gut nesfatin-1 can sense nutrients such as glucose and lipids and subsequently decreases hepatic glucose production. Nesfatin-1 infusion in the small intestine of NUCB2-knockout rats reduced hepatic glucose production via a gut - brain - liver circuit. Mechanistically, NUCB2/nesfatin-1 interacted directly with melanocortin 4 receptor (MC4R) through its H-F-R domain and increased cyclic adenosine monophosphate (cAMP) levels and glucagon-like peptide 1 (GLP-1) secretion in the intestinal epithelium, thus inhibiting hepatic glucose production. The intestinal nesfatin-1 -MC4R-cAMP-GLP-1 pathway and systemic gut-brain communication are required for nesfatin-1 - mediated regulation of liver energy metabolism. These findings reveal a novel mechanism of hepatic glucose production control by gut hormones through the central nervous system. Show less
📄 PDF DOI: 10.1038/s44318-024-00300-4
MC4R
Zhuan Gao, Yue Li, Yu-Jie Yang +4 more · 2025 · Surgical and radiologic anatomy : SRA · Springer · added 2026-04-24
To clarify the anatomical characteristics of the lateral plantar ligament (LPL) of the transverse metatarsal arch (TMA) in the population of southwest Shandong Province, so as to complement the anatom Show more
To clarify the anatomical characteristics of the lateral plantar ligament (LPL) of the transverse metatarsal arch (TMA) in the population of southwest Shandong Province, so as to complement the anatomical structures of the midfoot and Lisfranc joint complexes. A total of 100 adult lower limbs were dissected and the types of LPL were divided according to their insertions, among them, 63 were (63%) and 37 were female (37%); 50 were on the left side (50%) and 50 were on the right side (50%). The fiber bundle length, origin width, insertion width, and thickness of the LPL were measured. (1) According to the insertions of the LPL, they were divided into: ① Type I, the LPL was inserted at the base of the second metatarsal (M2) in 47 cases; ② Type II, the LPL was inserted at the base of M2 and fused with tibialis posterior tendon (TPT) in 16 cases; ③ Type III, the LPL was absent in 16 cases; ④ Type IV, the LPL was inserted at TPT in 6 cases; ⑤ Type V, the LPL was inserted at the intermediate cuneiform (IC) in 1 case; ⑥ Type VI, bifid LPL with one bundle inserted at the base of M2, and the other bundle inserted at the medial cuneiform (MC) in 4 cases; ⑦ Type VII, two bundles of LPL inserted at the base of M2 in 8 cases; ⑧ Type VIII, the LPL consisted of 3 bundles; the distal, middle and proximal bundles was inserted at the base of M2, the TPT and the lateral side of navicular bone in 2 cases, respectively. (2) There was a statistical significance in the length of LPL between male (31.62 ± 3.83) mm and female (28.07 ± 3.46) mm (t=-3.050, P = 0.003). There was no statistical significance in the types of LPL between male and female (Z=-1.721, P > 0.05), and no statistical significance in the types between left and right sides (Z=-0.026, P > 0.05). According to our research, LPL originates from M5 and is divided into 8 types according to its insertion location, of which insertion at the base of M2 is the most common. In addition, we found that LPL has fibrous fusion with the long plantar ligament and the TPT, which may be involved in maintaining arch stability. The classification of LPL in this study is a supplement to the anatomical structure of the middle foot and Lisfranc joint complex, providing a new direction for the diagnosis and treatment of middle foot and arch injury in the future. Show less
📄 PDF DOI: 10.1007/s00276-025-03651-7
LPL
Jianshu Wang, Jinxu Xue, Baijing Ma +3 more · 2025 · European journal of medical research · BioMed Central · added 2026-04-24
To investigate the influence of MEK5/ERK5 pathway on mitophagy in osteosarcoma (OS), as well as the involved molecular mechanisms. The overlapped genes of mitophagy-related genes from MSigDB database Show more
To investigate the influence of MEK5/ERK5 pathway on mitophagy in osteosarcoma (OS), as well as the involved molecular mechanisms. The overlapped genes of mitophagy-related genes from MSigDB database and DEGs between metastatic and primary OS groups from GSE32981 were identified. GSVA of mitophagy-related pathways between the metastatic and primary groups were analyzed. The relationships between Nur77 and mitophagy-related pathways, prognosis, immune infiltrating cells, immune response gene sets were investigated. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) and western blotting were utilized to assess the expression levels of MEK5, ERK5, Nur77, PINK1, and Parkin. Cellular behaviors and mitochondrial potential were evaluated via CCK-8, Transwell assay and JC-1 staining. Total 4 overlapped genes were obtained as mitophagy-related DEGs, including GABARAPL1, HIF1A, PINK1, and RB1CC1. The activity scores of 3 mitophagy-related pathways exhibited significant differences between metastatic and primary groups. Importantly, Nur77 was significantly negatively correlated with a mitophagy-related pathway (GOBP MITOPHAGY: R = - 0.48, P = 0.02). The Nur77 expression in metastatic group was remarkedly higher than that in the primary group (P < 0.001). Patients with high Nur77 expression had poor prognosis, with AUC values all above 0.615 in predicting 1-, 3-, and 5-year survival. In addition, Nur77 was closely related to numerous immune cells, including activated dendritic cells, activated mast cells and M0 macrophages, and immune response gene sets chemokines and cytokines (all P < 0.05). In addition, MEK5/ERK5 pathway is activated in OS, and Nur77 is overexpressed in OS, and MEK5/ERK pathway promotes Nur77 expression, tumorigenesis and mitochondrial function in U2OS cells. Cytosporone B implement significantly increased the tumorigenesis of U2OS cells in sh-MEK5 group, and inhibited the weaken in mitochondrial membrane potential caused by MEK5 downregulation, and reversed the protein levels of mitophagy markers PINK1 and Parkin in sh-MEK5 group. MEK5-ERK5 pathway mediates mitophagy by regulating Nur77 to promote tumorigenesis of OS cells. These findings offered promising therapeutic targets for OS. Show less
📄 PDF DOI: 10.1186/s40001-025-02312-0
MAP2K5
Zhen Zhang, Rongyao Li, Yue Zhou +3 more · 2025 · Molecular neurobiology · Springer · added 2026-04-24
Growing evidence indicates that healthy diets are associated with a slower progression of Alzheimer's disease (AD). Flavonoids are among the most abundant natural products in diets beneficial to AD, s Show more
Growing evidence indicates that healthy diets are associated with a slower progression of Alzheimer's disease (AD). Flavonoids are among the most abundant natural products in diets beneficial to AD, such as the Mediterranean diet. However, the effect and mechanism of these dietary flavonoids on AD remains incompletely understood. Here, we found that a representative dietary natural flavonoid, chrysin (Chr), significantly ameliorated cognitive impairment and AD pathology in APP/PS1 mice. Furthermore, mechanistic studies showed that Chr significantly reduced the levels of amyloid-β (Aβ) and phosphorylated tau (p-tau), along with dual inhibitory activity against β-site amyloid precursor protein cleaving enzyme 1 (BACE1) and glycogen synthase kinase 3β (GSK3β). Moreover, the effect of Chr was further confirmed by EW233, a structural analog of Chr that exhibited an improved pharmacokinetic profile. To further verify the role of Chr and EW233, we utilized our previously established chimeric human cerebral organoid (chCO) model for AD, in which astrogenesis was promoted to mimic the neuron-astrocyte ratio in human brain tissue, and similar dual inhibition of Aβ and p-tau was also observed. Altogether, our study not only reveals the molecular mechanisms through which dietary flavonoids, such as Chr, mitigate AD pathology, but also suggests that identifying a specific constituent that mimics some of the benefits of these healthy diets could serve as a promising approach to discover new treatments for AD. Show less
📄 PDF DOI: 10.1007/s12035-024-04557-y
BACE1
Wei Xu, Mingjie Li, Xiang Ma +3 more · 2025 · BMC public health · BioMed Central · added 2026-04-24
The relationship between ambient air pollution and chronic liver disease (CLD), and whether physical activity (PA) modifies this association, remains unclear. We analyzed 17,708 middle-aged and older Show more
The relationship between ambient air pollution and chronic liver disease (CLD), and whether physical activity (PA) modifies this association, remains unclear. We analyzed 17,708 middle-aged and older adults from the 2013 China Health and Retirement Longitudinal Study (CHARLS). Individual-level exposures to CO, O In fully adjusted models, higher pollutant levels were associated with increased CLD risk: CO (OR 1.13, 95% CI 1.04-1.19, p = 0.025), O Ambient CO, O Show less
📄 PDF DOI: 10.1186/s12889-025-25378-1
LPA
Xiangyong Kong, Yanchen Cai, Yuwei Li +1 more · 2025 · Health information science and systems · Springer · added 2026-04-24
Atherosclerotic cardiovascular disease (ASCVD) is a major threat to human life and health, and dyslipidemia with elevated low-density lipoprotein cholesterol (LDL-C) is an important risk factor, and i Show more
Atherosclerotic cardiovascular disease (ASCVD) is a major threat to human life and health, and dyslipidemia with elevated low-density lipoprotein cholesterol (LDL-C) is an important risk factor, and in the optimal LDL-C scenario, apolipoprotein B (ApoB) has a more predictive value of ASCVD risk. The study is a genome-wide association study (GWAS) based on a European population. A large GWAS dataset for atherosclerotic cardiovascular diseases was targeted, including coronary heart disease (CHD), ischemic stroke (IS), large-artery atherosclerotic stroke (ISL), small-vessel stroke (ISS), and myocardial infarction (MI). Univariate two-sample mendelian randomization (MR) analyses of ApoB and the above cardiovascular diseases were performed separately, and the association was assessed mainly using the inverse variance weighted (IVW) method, with confidence intervals for the superiority ratios set at 95%. In addition, the experiment was supplemented using MR-Egger, weighted model and weighted median (WM). Based on the results of univariate two-sample mendelian randomisation analysis, it was shown that there was a causal relationship between ApoB and CHD (OR = 1.710, 95% CI 1.529-1.912, P = 0.010), ISL (OR = 1.430, 95% CI 1.231-1.661, P = 2.714E-06), ISS (OR = 1.221, 95% CI 1.062-1.405, P = 0.005) were causally related to each other and the disease prevalence ratio was positively correlated with ApoB concentration. This MR analysis demonstrated a causal relationship between ApoB and CHD, ISL, ISS, but not with the risk of developing IS and MI, which further validated the relationship between ApoB and the risk of ASCVD, and contributed to a better understanding of the genetic impact of ApoB on ASCVD, and to a certain extent, could improve the management of ApoB and reduce the prevalence of ASCVD. Show less
no PDF DOI: 10.1007/s13755-024-00323-5
APOB