👤 Kaimi 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, Yulin Li, Zequn Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Hong-Tao Li, Guobin Li, Xiangnan Li, Yong-Jun Li, Hang Li, Ziming Li, Rongqing Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Zhao-Yang Li, Jiajie Li, Shunqin Li, K-L Li, Xinjia Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, Peilin 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, Jiayang Li, Yawei Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Xuelin Li, Caiyu Li, Zhen-Yuan Li, Xueyang Li, Fa-Hui Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Bao Li, Shiyu Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Chen-Xi Li, Mingxu Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, 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, Zonghua Li, C X Li, Liqin Li, Jingya Li, Huanan Li, Youjun Li, Zheng-Dao Li, Miao X Li, Zhenshu Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Runwen Li, Wenbo Li, Yarong Li, Side Li, Weidong Li, S E Li, Timmy 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, Zhen-Yu Li, Deyu Li, Hansen Li, Annie Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Xiao Li, Qintong Li, Junping Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Shengchao A Li, Pan Li, Jiaying Li, Ruonan Li, Cui-lan Li, Jun-Jie 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, Tianjun Li, Desen Li, Yansong Li, Xiying Li, Zihao Li, Weiyong Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Jihua Li, Wenxue Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, L K Li, Ya-Ting Li, Wan Jie Li, 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, L-Y Li, Xiuqi 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, Ze-An Li, Changhong Li, Jianmin Li, Minhui Li, Yvonne Li, Yu Li, Yiwei Li, Jiayuan Li, Xiangzhe Li, Zhichao 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, Dong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Mengxuan Li, Panyuan Li, Gang Li, Ziyu Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Huaiyuan Li, Dongnan Li, Rui-Fang Li, Jianzhong Li, Huaping Li, Ji-Liang Li, C H Li, Bohua Li, Pei-Ying Li, Bing Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, 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, Chunting Li, De-Tao 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, 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, Chaochen Li, Chunxia 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, Zengyang Li, Kaiyuan Li, Mangmang Li, Chunyan Li, Runzhen Li, Xiaopeng Li, Xi-Hai Li, MengGe Li, Xuezhong Li, Anan Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Ruobing Li, Ning Li, Yanxi Li, Wan-Xin Li, Yongjing Li, Meitao Li, Xia Li, Huayao Li, Ziqiang 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, Hongyu Li, Min-Rui Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Jinxin Li, Ganggang Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Mengxia Li, Conglin Li, Jutang Li, Qingli Li, Yongxiang Li, Miao Li, Songlin Li, Qilong Li, Dijie Li, Chenyu Li, Yizhe Li, Ke Li, Yan Bing Li, Jiani Li, Lianjian Li, Zhen-Hua Li, Yiliang Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Youming Li, Mi Li, Dong-Yun Li, Qingrun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Yumiao Li, Fengfeng Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xingye Li, Xiangjun Li, Junxu Li, Junya Li, Huiying Li, Jiang Li, Shengxian Li, Qingyang Li, Yuxi Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Zhenming Li, Xuelian Li, Chunjun Li, Shu-Fen 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, Xuewang Li, Mei Li, Xiangdong Li, Zhenjia Li, Jifang Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Chunqiong Li, Huiliang Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Yuqiu Li, Bin-Kui Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Hongyi Li, Xiang-Jun Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Xiancheng Li, Man-Zhi Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Chanjuan Li, Nan-Nan Li, 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, Yuandong Li, Guisen Li, Dongyang Li, Jinglin Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Dingshan Li, Yinggao Li, Linlin Li, Xinsheng Li, Jin-Wei Li, 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, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Liangji Li, Yaxuan Li, Yuchan Li, Lixiang Li, Tian-wang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, You Ran Li, Xiaoqiong Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Wenzhuo Li, Xuri Li, Y Li, Deqiang Li, Caixia Li, Zipeng Li, Mingyue Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, Xi Li, S-C Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Qian Li, Yaochen Li, Tinghua Li, Wenyang Li, Bohao Li, Zhenfen Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Bingsong Li, Anqi Li, Xiaoju Li, Zhenyu Li, Ting Li, Xiaonan Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Xunjia Li, Yanchang Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Hongxue Li, Bingjie Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Zong-Xue Li, En-Min 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, Kaiwei Li, Jie-Shou Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Yu-Sheng Li, Junxin Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shanglai Li, Shulin Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Jun-Ru Li, Xueying Li, JunBo 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, Rulin Li, Shihong Li, Ya-Pei Li, Huifeng Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Shuangshuang Li, Long Li, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Zhenzhou Li, Pengyang Li, Yiqiang Li, Kun-Xin Li, Xiawei Li, Binglan Li, 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, Nan Li, Gongda Li, Wei-Ping Li, Yajun Li, Yipeng Li, Mingxing Li, Nanjun Li, Xin-Yu Li, Chunyu Li, P H Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Ranran Li, Suping Li, Long Shan Li, Yanze Li, Jason Li, Xiao-Feng Li, Monica M Li, Fengjuan Li, W 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, Wenhong Li, Quanpeng Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Wen-Ting Li, Guohua Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Yazhou Li, Shihao Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Peihong Li, Lang Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Shaodan Li, Meng-Hua Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Zheng Li, Ming-Hao Li, Donghe Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Jingqi Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Chong Li, Xiao-Kang Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zhuorong Li, Zizhuo Li, X-H Li, Lan-Juan Li, Xianrui Li, Dong Sheng Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Jinhui Li, Zhifei Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Zhisheng Li, Changgui Li, Cuiling Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Kai-Wen Li, Suwen Li, Peihua Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Yue-Ying Li, Kongdong Li, Chunhui Li, Tongyao Li, Peiyu Li, Lian Li, Linfeng Li, Xinmiao Li, Yuzhe Li, Chenyang Li, Jiacheng Li, Chang-Yan Li, Qifang Li, Xiaohua Li, Duanxiang Li, Xiaolin Li, Vivian 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, 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, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Xiao-Qin Li, Liyan Li, Xinke Li, Xiaokun 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, Shibo Li, Jin Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, Hui Li, AnHai Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinghua Li, Qinqin Li, Lipeng Li, Leilei Li, Defu Li, Ranchang Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Yu-I Li, Shunhua Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Shen Li, Tianjiao Li, Ziqi Li, Shufen Li, Gui-Rong Li, Yunfeng Li, Yueqi Li, Yunpeng Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Pinghua Li, Xu Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Cun Li, Huimin Li, T Li, Ruifang Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Hanqin Li, Xiong Bing Li, Qingjie Li, Wen Lan Li, Guoge Li, Han Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Michelle Li, Caolong Li, Chaojie Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Peipei Li, Guangdi Li, Tian-Yi Li, Xiaxia Li, Nien Li, Yuefeng Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang Li, S L Li, Shunqing Li, Ming-Kai Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Yongle Li, Ruolin Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, Dong-Ling Li, M Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Ya-Feng Li, Wenlong Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shugang Li, Shengli Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Yongxin Li, Ru Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Bingbing Li, Qinglin Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Shun Li, Hui-Jun Li, Guojun Li, Xuefei Li, Senlin Li, Hung Li, Jinping Li, Sainan Li, Huili 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, Lihong Li, Chun Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Baichuan Li, Daoyuan Li, Haibo Li, Wenqi Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun 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, Junsheng Li, Jiayu Li, Pingping Li, Mingquan Li, Wen-Ya Li, Suran Li, Yunlun Li, Rongxia Li, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Chunlin Li, Han-Bing 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, Di Li, Fengqiao Li, Guiyuan Li, Yanbing Li, Suk-Yee Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Xiyue 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, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Chunqing Li, Jiong Li, Lai K Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Yongsheng Li, Xiujuan Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Ding Li, Yuling Li, Wendeng Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Linyan Li, Shengze Li, Yanjun Li, Ming-Yang Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Ji-Lin Li, Congcong Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Wen Li, Jinfeng Li, Shiheng Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Jiangan Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Chia-Yang Li, Meng-Meng Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Ming D Li, Chenguang Li, Xujun Li, Ruyue Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zechuan Li, Zhijun Li, Jiazhou Li, Sherly X Li, Wanling Li, Ya-Ge Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Lixia Li, Zhiwei Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, Yaqiao Li, Jingui Li, Bingsheng Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, 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, Rui Li, Zilu Li, Xuemin Li, Sheng-Fu Li, Zezhi Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Xuyi Li, Binghua Li, Hanjun Li, Yunchu Li, 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, Ling-Zhi Li, Hengtong 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, 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, Zhiyi Li, Hanbin Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Suchun Li, Mingke 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, Jingfeng Li, Yuemei Li, Yanli Li, Zhi-Yuan Li, Hai Li, Yuan-Jing Li, Kaibin 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, Zhonglian Li, Baosheng 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, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Meng-Jun Li, Congjiao Li, Peining Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, Shaoliang Li, X-L Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Qun Li, Tianye Li, Cuiguang Li, Zhen Li, Yuan Li, F Li, Chunhong Li, Mengling Li, Kunpeng Li, Jia-Da Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Baoqing Li, Pu Li, Xinle Li, Xingli Li, Bingkun Li, Nien-Chi Li, Wuguo Li, Tiewei Li, Bing-Hui Li, Daniel Tian Li, Rong-Bing Li, Jingyong Li, Honggang Li, Shikang Li, Wei-Yang Li, Rong Li, Mingkun Li, Binxing Li, Shi-Ying Li, Zixiao Li, Ming Xing Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Hong-Lian Li, Bei-Bei Li, Haitong Li, Xiumei Li, Melody M H Li, Yuli Li, Ruibing Li, Qingfang Li, Peibo Li, Qibing Li, Huanjun Li, Heng Li, Wende Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Xiao-Na Li, Tianyou Li, Jipeng Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Longxuan Li, Huiyou Li, Ka Wan Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Gui-xing Li, Yu-Hao Li, Shunle Li, Shilin Li, Niu 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, Hao-Fei Li, Haolong 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, Dalei Li, Ruidong Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Sijie Li, Dengxiong Li, Xiaomin Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Qiuyan Li, Zhouxiang Li, Tingguang Li, Yun-tian Li, Jianliang Li, Xiangyang Li, Guangzhao Li, Yixi Li, Chunjie Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Wenqun Li, Dongtao Li, Fengyuan Li, Guixia Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Bingjue Li, Xixi Li, Binghu Li, Yan-Chun Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Jia-Ru Li, Shuhui Li, Shu-Hong Li, Pei-Qin Li, Chun-Xiao Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Yaxian Li, Duo Li, Dali Li, Zhiming Li, Xuemei Li, Hongxia Li, Yongting Li, Xueting Li, Danyang Li, Zhenjun Li, Ren Li, Tiandong Li, Lanfang Li, Hongye Li, Di-Jie Li, Mingwei Li, Bo Li, Jinliang Li, Wenxin Li, Qiji Li, W J Li, Zhipeng Li, Zhijia Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaobo Li, Xiaoting Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, 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, Jun Z Li, Suheng Li, Joyce Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Zhiqiang Li, Junru Li, Jiangchao Li, Hecheng Li, Haifeng Li, Changkai Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, 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, 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articles
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
Xue Wu, Junjie Kou, Ruixin Zhang +5 more · 2026 · Chemical communications (Cambridge, England) · Royal Society of Chemistry · added 2026-04-24
We developed a viscosity-activated near-infrared (NIR) fluorescent probe, QV-S. This probe features a long emission wavelength (815 nm), a large Stokes shift (135 nm), high viscosity sensitivity (431- Show more
We developed a viscosity-activated near-infrared (NIR) fluorescent probe, QV-S. This probe features a long emission wavelength (815 nm), a large Stokes shift (135 nm), high viscosity sensitivity (431-fold signal enhancement), and specific lysosome-targeting capability. QV-S allows for not only real-time monitoring of lysosomal viscosity changes in inflammatory and foam cells but also the precise imaging of atherosclerotic plaques in the aortas of ApoE Show less
no PDF DOI: 10.1039/d5cc06387f
APOE
Zhe Chen, Yifan Tang, Shuang Li +6 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their disti Show more
Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their distinct mechanisms and therapeutic responses remain unclear. This study integrated genetic, imaging, and proteomic data to identify key mediators underlying β1-adrenergic receptor blockers (β1-blockers)-related therapeutic heterogeneity between HHD and HCM. Genetic instruments for β1-blockers were derived from two genome-wide association studies and integrated with cardiac magnetic resonance radiomic traits and plasma proteomic data from the UK Biobank, along with disease outcomes from FinnGen. A refined two-stage network Mendelian randomization framework with pleiotropy-robust estimators identified mediators of treatment response. To further elucidate their biological and clinical significance, additional analyses were performed, including drug-target profiling, molecular docking, adverse events (AEs) assessment, and drug prediction. We identified three types of imaging features and ten mediator proteins that contributed to therapeutic responses in HHD and HCM. These mediators were categorized as either mediating (aligned with therapeutic outcomes) or suppressing (opposing therapeutic outcomes). Left ventricular regional radial strain acted as a suppressing factor in HHD but a mediating factor in HCM, whereas end-diastolic and end-systolic volumes consistently showed suppressing effects in both. Regional myocardial wall thickness also exerted a suppressing role in HCM. Among protein mediators, APOE, CGREF1, ITGA5, LSP1, NOS3, and NPPB were linked to HHD, whereas DUSP13, ITGA11, NID1, and SERPINA4 were related to HCM. Specifically, APOE, ITGA5, NOS3, NPPB, DUSP13, and ITGA11 acted as mediating factors, while CGREF1, LSP1, NID1, and SERPINA4 served as suppressing ones. These findings remained robust after pleiotropy adjustment and other genetic analyses. Molecular docking revealed interactions between ADRB1, the β1-blockers target, and downstream proteins, while drug prediction identified eight potential compounds linked to these mediators. Additionally, AE analyses indicated that some targets, such as DUSP13, could both mitigate and aggravate common AEs while contributing to cardiac therapy. This integrative multi-omics analysis revealed distinct imaging and proteomic mechanisms of genetically proxied β1-blockers in HHD and HCM, providing genetic evidence for differential therapeutic responses and highlighting molecular targets for precision cardiovascular therapy. Show less
📄 PDF DOI: 10.1186/s12916-026-04691-5
APOE
Jie-Jun Zhao, Qian-Min Zeng, Li-Na Wang +2 more · 2026 · Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae · added 2026-04-24
PICALM∶∶MLLT10 fusion gene-positive precursor B-cell acute lymphoblastic leukemia(pro-B-ALL)is clinically rare.This article reports the case of a 29-year-old female patient who presented a mediastinal Show more
PICALM∶∶MLLT10 fusion gene-positive precursor B-cell acute lymphoblastic leukemia(pro-B-ALL)is clinically rare.This article reports the case of a 29-year-old female patient who presented a mediastinal mass.Diagnostic investigations confirmed PICALM∶∶MLLT10 fusion gene-positive pro-B-ALL.The patient sequentially received radiotherapy and multiple lines of chemotherapy but developed short-term drug resistance and lineage change,progressing to mixed-phenotype acute leukemia.A review of relevant literature was conducted to analyze its pathogenesis and molecular characteristics,aiming to provide references for clinical diagnosis and treatment. Show less
no PDF DOI: 10.3881/j.issn.1000-503X.16685
MLLT10
Rongrong Luo, Xiying Li, Ruyun Gao +13 more · 2025 · Genomics, proteomics & bioinformatics · Oxford University Press · added 2026-04-24
Autoantibodies hold promise for diagnosing lung cancer. However, their effectiveness in early-stage detection needs improvement. In this study, we investigated novel IgG and IgM autoantibodies for det Show more
Autoantibodies hold promise for diagnosing lung cancer. However, their effectiveness in early-stage detection needs improvement. In this study, we investigated novel IgG and IgM autoantibodies for detecting early-stage lung adenocarcinoma (Early-LUAD) by employing a multi-step approach, including Human Proteome Microarray (HuProtTM) discovery, focused microarray verification, and ELISA validation, on 1246 individuals consisting of 634 patients with Early-LUAD (stage 0-I), 280 patients with benign lung disease (BLD), and 332 normal healthy controls (NHCs). HuProtTM selected 417 IgG/IgM candidates, and focused microarray further verified 55 significantly elevated IgG/IgM autoantibodies targeting 32 tumor-associated antigens in Early-LUAD compared to BLD/NHC/BLD+NHC. A novel panel of 10 autoantibodies (ELAVL4-IgM, GDA-IgM, GIMAP4-IgM, GIMAP4-IgG, MGMT-IgM, UCHL1-IgM, DCTPP1-IgM, KCMF1-IgM, UCHL1-IgG, and WWP2-IgM) demonstrated a sensitivity of 70.5% and a specificity of 77.0% or 80.0% for distinguishing Early-LUAD from BLD or NHC in ELISA validation. Positive predictive values for distinguishing Early-LUAD from BLD with nodules ≤ 8 mm, 9-20 mm, and > 20 mm significantly increased from 47.27%, 52.00%, and 62.90% [low-dose computed tomography (LDCT) alone] to 79.17%, 71.13%, and 87.88% (10-autoantibody panel combined with LDCT), respectively. The combined risk score (CRS), based on the 10-autoantibody panel, sex, and imaging maximum diameter, effectively stratified the risk for Early-LUAD. Individuals with 10 ≤ CRS ≤ 25 and CRS > 25 indicated a higher risk of Early-LUAD compared to the reference (CRS < 10), with adjusted odds ratios of 5.28 [95% confidence interval (CI): 3.18-8.76] and 9.05 (95% CI: 5.40-15.15), respectively. This novel panel of IgG and IgM autoantibodies offers a complementary approach to LDCT in distinguishing Early-LUAD from benign nodules. Show less
no PDF DOI: 10.1093/gpbjnl/qzae085
WWP2
Li Song, Chenlu Li, Xiaojiao Xiang +1 more · 2025 · Frontiers in nutrition · Frontiers · added 2026-04-24
Early identification of individuals at risk for cognitive impairment is essential for timely intervention and public health planning. While sociodemographic and clinical predictors are well recognized Show more
Early identification of individuals at risk for cognitive impairment is essential for timely intervention and public health planning. While sociodemographic and clinical predictors are well recognized, the role of nutrition and its interactions in cognitive health remains less explored. Using data from the 2011-2014 National Health and Nutrition Examination Survey (NHANES, Ensemble models demonstrated excellent predictive performance, consistently outperforming traditional classifiers. Key predictors included education, age, socioeconomic status, and chronic disease conditions. Among nutritional factors, vitamin B2 emerged as consistently associated with lower predicted cognitive impairment risk across all three models, with notable interactions observed with copper and vitamin E. Exploratory Interpretable machine learning models integrating cognitive tests with demographic, clinical, and nutritional variables can accurately predict cognitive impairment. Nutritional predictors, particularly vitamin B2 and its interactions, may contribute to model performance and biological plausibility, suggesting potential avenues for stratified monitoring strategies. Show less
📄 PDF DOI: 10.3389/fnut.2025.1680290
BDNF
Yikai Zhang, Yi Xie, Shenglong Xia +9 more · 2025 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Colorectal cancer (CRC) is a leading cause of cancer mortality while diabetes is a recognized risk factor for CRC. Here we report that tirzepatide (TZP), a novel polypeptide/glucagon-like peptide 1 re Show more
Colorectal cancer (CRC) is a leading cause of cancer mortality while diabetes is a recognized risk factor for CRC. Here we report that tirzepatide (TZP), a novel polypeptide/glucagon-like peptide 1 receptor (GIPR/GLP-1R) agonist for the treatment of diabetes, has a role in attenuating CRC growth. TZP significantly inhibited colon cancer cell proliferation promoted apoptosis in vitro and induced durable tumor regression in vivo under hyperglycemic and nonhyperglycemic conditions across multiple murine cancer models. As glucose metabolism is known to critically regulate colon cancer progression, spatial metabolomics results revealed that glucose metabolites are robustly reduced in the colon cancer regions of the TZP-treated mice. TZP inhibited glucose uptake and destabilized hypoxia-inducible factor-1 alpha (HIF-1α) with reduced expression and activity of the rate-limiting enzymes 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) and phosphofructokinase 1 (PFK-1). These effects contributed to the downregulation of glycolysis and the tricarboxylic acid (TCA) cycle. TZP also delayed tumor development in a patient-derived xenograft (PDX) mouse model accompanied by HIF-1α mediated PFKFB3-PFK-1 inhibition. Therefore, the study provides strong evidence that glycolysis-blocking TZP, besides its application in treating type 2 diabetes, has the potential for preclinical studies as a therapy for colorectal cancer used either as monotherapy or in combination with other anticancer therapies. Show less
📄 PDF DOI: 10.1002/advs.202411980
GIPR
Yunsheng Zhang, Dingbang Ding, Shaofei Li +8 more · 2025 · Poultry science · Elsevier · added 2026-04-24
DHAV-3 is one of the main causative agents of duck viral hepatitis (DVH), an acute and highly lethal infectious disease in duck industry. However, the understanding of the pathogenesis of this virus i Show more
DHAV-3 is one of the main causative agents of duck viral hepatitis (DVH), an acute and highly lethal infectious disease in duck industry. However, the understanding of the pathogenesis of this virus in ducklings is limited. To dissect the molecular characteristics associated with pathobiology of ducklings to DHAV-3, we applied single-cell RNA-sequencing approach to profile the transcriptome of 1.4 million cells from 14 livers of DHAV-3 susceptible (S) and resistant (R) ducklings during viral infection and 4 uninfected healthy controls. We found that infected S ducks exhibited the activation of type I and II interferon pathways with elevated expression of interferon-stimulated genes (ISGs) compared to infected R ducks and healthy controls. DHAV-3 promoted proinflammatory phenotype and inhibited the cell apoptosis pathway of Kupffer cells of S ducks. Furthermore, we observed the elevated expression of host factor PLAC8 in S ducks and validated its ability to facilitate the infection of DHAV-3. We identified significant dysregulation of various genes in complement and coagulation cascades in hepatocytes2 exclusive to S ducks, together with over-secretion of ANGPTL4 from endothelial cells in S ducks which is confirmed to promote cellular migration, suggesting etiology of coagulopathic complications in ducks with severe DVH. Collectively, this study provides a rich resource for understanding the inflammatory immune signatures and cell communications underlying the pathogenesis of DHAV-3 infection, which may accelerate the development of better diagnostic methods and strategies for controlling this disease. Show less
📄 PDF DOI: 10.1016/j.psj.2025.104798
ANGPTL4
Liqun Wang, Honglei Li, Tianqi Qiao +3 more · 2025 · Frontiers in public health · Frontiers · added 2026-04-24
This study investigates the heterogeneity in kindergarten teachers' perceptions of organizational climate and its impact on job burnout. Guided by the AGIL model from social systems theory and the Job Show more
This study investigates the heterogeneity in kindergarten teachers' perceptions of organizational climate and its impact on job burnout. Guided by the AGIL model from social systems theory and the Job Demands-Resources (JD-R) model, it addresses the need to move beyond variable-centered approaches to understand how distinct climate profiles are associated with teacher well-being. A person-centered latent profile analysis (LPA) was employed. A sample of 1,008 kindergarten teachers from China completed measures assessing organizational climate and burnout. The analysis aimed to identify distinct climate profiles and examine their relationships with demographic variables (kindergarten type, assessment level, teaching experience) and the three dimensions of burnout (emotional exhaustion, depersonalization, reduced personal accomplishment). The LPA revealed five distinct organizational climate profiles: Controlled, Moderate, Indifferent, Positive, and Authoritative. Profile membership was significantly predicted by kindergarten assessment level and teachers' years of experience, but not by kindergarten type. Crucially, the profiles differed significantly across all burnout dimensions. Teachers in Positive climates reported the lowest burnout levels, whereas those in Controlled and Indifferent climates experienced the highest. The findings underscore the structural diversity of organizational climates in early childhood settings and their profound psychological consequences. This study validates the application of social systems theory and the JD-R model in this context, revealing how different configurations of job demands and resources shape teacher well-being. The results provide a theoretical lens for understanding educational organizations and offer practical implications for developing tailored, climate-specific intervention strategies to mitigate burnout and support sustainable professional development. Show less
📄 PDF DOI: 10.3389/fpubh.2025.1708777
LPA
Kristina Fredriksen, Siddhi S Joshi, Allison Chang +1 more · 2025 · bioRxiv : the preprint server for biology · added 2026-04-24
APOE is the greatest genetic risk factor for late-onset Alzheimer's disease (AD). In humans, APOE has three isoforms: APOE2 (E2), APOE3 (E3), and APOE4 (E4); E4 increases AD risk, while E3 is neutral Show more
APOE is the greatest genetic risk factor for late-onset Alzheimer's disease (AD). In humans, APOE has three isoforms: APOE2 (E2), APOE3 (E3), and APOE4 (E4); E4 increases AD risk, while E3 is neutral and E2 decreases risk. In the brain, APOE is predominantly produced by astrocytes, where it binds lipids to form HDL-like particles, and plays a central role in lipid homeostasis, Aβ clearance, and neuroimmune modulation. Its lipidation state is critical for function, with E4 being poorly lipidated compared to E2 and E3, contributing to the pathogenic effects of E4 while also offering a potential therapeutic target. We have previously demonstrated that the HDL-mimetic peptide 4F increases APOE secretion and lipidation in wild-type mouse astrocytes and counteracts the inhibitory effects of Aβ42. Here, we assessed the ability of 4F to mitigate E4-associated dysfunction using primary astrocytes from humanized E3 and E4 knock-in mice and isogenic human iPSC-derived astrocytes and cerebral organoids. Results showed that 4F enhanced APOE secretion and lipidation in both cellular and organoid models in the absence or presence of aggregated Aβ42. Compared to E3 astrocytes, E4 astrocytes were prone to Aβ42-induced inhibition of APOE secretion and lipidation and increased accumulation of lipid droplets. 4F treatment ameliorated the inhibitory effects of Aβ42 and reduced lipid droplet accumulation. These findings support the therapeutic potential of HDL-mimetic peptides for E4-associated dysfunction in AD. Show less
no PDF DOI: 10.64898/2025.12.16.694774
APOE
Xinruo Zhang, Jennifer A Brody, Mariaelisa Graff +122 more · 2025 · Nature communications · Nature · added 2026-04-24
Xinruo Zhang, Jennifer A Brody, Mariaelisa Graff, Heather M Highland, Nathalie Chami, Hanfei Xu, Zhe Wang, Kendra R Ferrier, Geetha Chittoor, Navya Shilpa Josyula, Mariah Meyer, Shreyash Gupta, Xihao Li, Zilin Li, Matthew A Allison, Diane M Becker, Lawrence F Bielak, Joshua C Bis, Meher Preethi Boorgula, Donald W Bowden, Jai G Broome, Erin J Buth, Christopher S Carlson, Kyong-Mi Chang, Sameer Chavan, Yen-Feng Chiu, Lee-Ming Chuang, Matthew P Conomos, Dawn L DeMeo, Mengmeng Du, Ravindranath Duggirala, Celeste Eng, Alison E Fohner, Barry I Freedman, Melanie E Garrett, Xiuqing Guo, Chris Haiman, Benjamin D Heavner, Bertha Hidalgo, James E Hixson, Yuk-Lam Ho, Brian D Hobbs, Donglei Hu, Qin Hui, Chii-Min Hwu, Rebecca D Jackson, Deepti Jain, Rita R Kalyani, Sharon L R Kardia, Tanika N Kelly, Ethan M Lange, Michael LeNoir, Changwei Li, Loic Le Marchand, Merry-Lynn N McDonald, Caitlin P McHugh, Alanna C Morrison, Take Naseri, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Jeffrey O'Connell, Christopher J O'Donnell, Nicholette D Palmer, James S Pankow, James A Perry, Ulrike Peters, Michael H Preuss, D C Rao, Elizabeth A Regan, Sefuiva M Reupena, Dan M Roden, Jose Rodriguez-Santana, Colleen M Sitlani, Jennifer A Smith, Hemant K Tiwari, Ramachandran S Vasan, Zeyuan Wang, Daniel E Weeks, Jennifer Wessel, Kerri L Wiggins, Lynne R Wilkens, Peter W F Wilson, Lisa R Yanek, Zachary T Yoneda, Wei Zhao, Sebastian Zöllner, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, John Blangero, Eric Boerwinkle, Esteban G Burchard, April P Carson, Daniel I Chasman, Yii-der Ida Chen, Joanne E Curran, Myriam Fornage, Victor R Gordeuk, Jiang He, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Charles Kooperberg, Ryan L Minster, Braxton D Mitchell, Mehdi Nouraie, Bruce M Psaty, Laura M Raffield, Alexander P Reiner, Stephen S Rich, Jerome I Rotter, M Benjamin Shoemaker, Nicholas L Smith, Kent D Taylor, Marilyn J Telen, Scott T Weiss, Yingze Zhang, Nancy Heard-Costa, Yan V Sun, Xihong Lin, L Adrienne Cupples, Leslie A Lange, Ching-Ti Liu, Ruth J F Loos, Kari E North, Anne E Justice Show less
Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data fr Show more
Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals (P < 5 × 10 Show less
no PDF DOI: 10.1038/s41467-025-58420-2
POC5
Anjing Liu, Roulan Jiang, Ruixi Li +16 more · 2025 · Research square · added 2026-04-24
Molecular QTL studies quantify whether genetic variants affect molecular traits, but non-linear effects including distributional patterns, variance, and interactions provide mechanistic insights beyon Show more
Molecular QTL studies quantify whether genetic variants affect molecular traits, but non-linear effects including distributional patterns, variance, and interactions provide mechanistic insights beyond mean-level associations. Methods for detecting distributional effects have been developed for eQTL analysis, yet applications have focused on method demonstrations rather than large-scale biological discovery. We comprehensively mapped quantile, variance, and interaction QTLs across 34 data-set from 22 molecular contexts in >2,300 human brain donors, revealing that 48.7% of quantile QTLs (qQTLs) exhibit context-dependent regulation invisible to linear models, with enrichment at phenotypic extremes and in cell-type-specific regulatory elements, chromatin accessibility regions, and long-range chromosomal contacts. qQTL variants explained additional trait heritability beyond linear QTLs for brain-related traits. At Alzheimer's disease (AD) risk loci, qQTL analysis revealed complex regulatory architecture including variance effects at Show less
📄 PDF DOI: 10.21203/rs.3.rs-8219833/v1
APOE
Beibei Bie, Hong Bai, Yingnan Li +2 more · 2025 · IUBMB life · Wiley · added 2026-04-24
G-patch domain-containing protein 2 (GPATCH2), a member of the G-patch domain-containing family, has been implicated in tumor cell growth, but the link between GPATCH2 and hepatocellular carcinoma (HC Show more
G-patch domain-containing protein 2 (GPATCH2), a member of the G-patch domain-containing family, has been implicated in tumor cell growth, but the link between GPATCH2 and hepatocellular carcinoma (HCC) remains uncertain. In the current study, comprehensive bioinformatics analysis revealed that GPATCH2 was markedly upregulated in HCC and positively correlated with aggressive clinicopathological features, including histologic grade, AFP, albumin level, and adjacent hepatic tissue inflammation, as well as miserable outcomes in HCC. GPATCH2 also has certain diagnostic value for HCC, histologic grade, and 1-, 3-, and 5-year survival outcomes. Functionally, loss-of-function experiments disclosed that silencing GPATCH2 suppressed HCC cell proliferation, migration, invasion, and xenograft tumor growth in the subcutaneous mouse model. Silencing GPATCH2 also resulted in an increase in the expression level of CDH1, while causing a decrease in the expression levels of FN1, TWIST1, SNAI1, and SNAI2. Rescue experiments further confirmed SNAI2 as a critical downstream effector mediating GPATCH2-driven oncogenic activity in HCC. Mechanistically, GPATCH2 was uncovered to be transcriptionally activated by the transcription factor Yin Yang 1 (YY1), and can mediate the role of YY1 in promoting HCC progression and elevating SNAI2 expression. Taken together, GPATCH2 is a YY1-regulated oncogenic driver that promotes HCC advancement through SNAI2, highlighting its potential as a diagnostic, prognostic, and therapeutic target for HCC. Show less
no PDF DOI: 10.1002/iub.70070
SNAI1
Song Luo, Xiaorui Wang, Bo Ma +12 more · 2025 · Biomolecules & biomedicine · added 2026-04-24
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the selective death of motor neurons in the spinal cord, brainstem, and motor cortex. This study investigates the ef Show more
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the selective death of motor neurons in the spinal cord, brainstem, and motor cortex. This study investigates the effects of simvastatin on the G93A-copper/zinc superoxide dismutase (G93ASOD1) transgenic mouse model of ALS. The experiment included three groups: C57BL/6 wild-type mice, C57BL/6J SOD1G93A mice treated with PBS (SOD1G93A + PBS), and C57BL/6J SOD1G93A mice treated with simvastatin (SOD1G93A + simvastatin). The primary endpoints were survival rates, body weight changes, performance in pole climbing and suspension tests, and neurological deficit scores. Pathological changes were assessed using hematoxylin and eosin staining, transmission electron microscopy, Nissl staining, and Masson staining. Proteomic and metabolomic analyses were performed to identify differentially expressed proteins (DEPs) and metabolites. Quantitative real-time polymerase chain reaction and western blotting were used to measure gene expression. Although there were no significant differences in survival rates, body weight, pole climbing, and suspension test performance, or neurological deficit scores between the SOD1G93A + simvastatin and SOD1G93A + PBS groups, simvastatin treatment improved axonal organization within the spinal cord, increased the number of neurons, and reduced cytoplasmic swelling and gastrocnemius fibrosis. A total of 47 DEPs and 13 differential metabolites were identified between the SOD1G93A + PBS and SOD1G93A + simvastatin groups. Notably, the expression levels of Apoa4 and Alb were elevated in the SOD1G93A + simvastatin group compared to the SOD1G93A + PBS group. Our results suggest that simvastatin may have potential therapeutic effects in ALS, likely involving the modulation of Apoa4 and Alb expression. Show less
📄 PDF DOI: 10.17305/bb.2024.11218
APOA4
Yu Wang, Haiyue Zhang, Yuanyuan Zhan +4 more · 2025 · PloS one · PLOS · added 2026-04-24
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship Show more
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship between blood lipid profiles and sepsis risk remains uncertain. This study aims to investigate the association between genetically predicted lipid traits, drug targets, and sepsis. The UK Biobank's Genome-wide association studies (GWAS) produced data on lipid and apolipoprotein characteristics. Four independent GWAS datasets were used to generate the sepsis statistics. The study utilized the two-sample Mendelian randomization (MR) approach, which incorporates multivariable (MVMR) models, to assess the correlations between sepsis risk and lipid-related parameters. To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering. Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861-0.999; p = 0.047). This inverse correlation persevered even after performing multivariable MR. Elevated levels of HDL-C were associated with a decreased risk of sepsis (under 75) (OR 0.897, 95% CI 0.838-0.960; P = 0.002) and incidence of sepsis (OR 0.883, 95% CI 0.820-0.951; P = 0.001), which was consistent across sensitivity analyses. Furthermore, a decrease in total cholesterol exhibited a causal effect on sepsis in multivariable MR (OR 0.779, 95% CI 0.642-0.944; P = 0.01). The genetic variants related to lowering LDL-C, located near the HMGCR and LDLR genes, were predicted to elevate the risk of sepsis. Moreover, genetic mimicry near the ANGPTL3 and LPL gene suggested that reducing the activity of ANGPTL3 and LPL (mimicking antisense anti-ANGPTL3 and LPL agents) was forecasted to decrease sepsis risk. Genetically inferred elevated ApoA-1, total cholesterol, and HDL-C manifest a protective effect against sepsis. Within the 9 lipid-lowering drug targets investigated ANGPTL3 and LPL exhibit potential as candidate drug targets for sepsis. Show less
📄 PDF DOI: 10.1371/journal.pone.0331023
LPL
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
Xiaoli Shi, Xueli Jia, Wei Liu +5 more · 2025 · Stem cells translational medicine · Oxford University Press · added 2026-04-24
Zinc finger protein 750 (ZNF750) has been identified as a potential tumor suppressor across multiple malignancies. Nevertheless, the specific involvement of ZNF750 in the regulation of mesenchymal cel Show more
Zinc finger protein 750 (ZNF750) has been identified as a potential tumor suppressor across multiple malignancies. Nevertheless, the specific involvement of ZNF750 in the regulation of mesenchymal cell differentiation and bone homeostasis has yet to be elucidated. In the current study, we observed a substantial presence of ZNF750 in bone tissue and noted alterations in its expression during osteogenic differentiation of mesenchymal progenitor cells. Functional experiments indicated that ZNF750 promoted osteogenic differentiation while impeding adipogenic differentiation from mesenchymal stem/progenitor cells. Further mechanistic investigations revealed that ZNF750 transcriptionally suppressed the expression of Snail family transcriptional repressor 1 (SNAI1) by binding to the proximal promoter region of Snai1 gene, thereby activating Wnt/β-catenin signaling. SNAI1 exerted opposing effects on cell differentiation towards osteoblasts and adipocytes in comparison to ZNF750. The overexpression of SNAI1 counteracted the dysregulated osteogenic and adipogenic differentiation induced by ZNF750. Furthermore, the transplantation of Znf750-silenced bone marrow stromal cells into the marrow of wild-type mice resulted in a reduction in cancellous and cortical bone mass, alongside a decrease in osteoblasts and an increase in marrow adipocytes, while the number of osteoclasts remained unchanged. This study presents the first demonstration that ZNF750 regulates the differentiation of osteoblasts and adipocytes from mesenchymal stem/progenitor cells by transcriptionally deactivating SNAI1 signaling, thereby contributing to the maintenance of bone homeostasis. It suggests that ZNF750 may represent a promising therapeutic target for metabolic bone disorders such as osteoporosis. Show less
no PDF DOI: 10.1093/stcltm/szaf013
SNAI1

Novel

Yuhao Liu, Xiaoying Huang, Lubin Xu +3 more · 2025 · Clinical kidney journal · Oxford University Press · added 2026-04-24
Nucleoporins, as major components of nuclear pore complex, have been recently discovered to participate in organ development. Here, we report a young female patient with nephrotic proteinuria resistan Show more
Nucleoporins, as major components of nuclear pore complex, have been recently discovered to participate in organ development. Here, we report a young female patient with nephrotic proteinuria resistant to immune suppressant treatment and congenital ovarian insufficiency. Renal pathology confirmed focal segmental glomerulosclerosis and whole-exome sequencing revealed compound heterozygous mutations in Nucleoporin 160 ( Show less
no PDF DOI: 10.1093/ckj/sfae388
NUP160
Jiawei Li, Ximei Li, Jiamin Tian +5 more · 2025 · Frontiers in veterinary science · Frontiers · added 2026-04-24
Lower intramuscular fat (IMF) and excessive abdominal fat reduce carcass quality in broilers. The study aimed to investigate the effects of dietary VD
📄 PDF DOI: 10.3389/fvets.2025.1542637
APOB
Xiuli Han, He Li, Yu Sun +1 more · 2025 · European journal of medical research · BioMed Central · added 2026-04-24
This study investigates the effect of angiopoietin-like 4 (ANGPTL4) on allergic rhinitis (AR) and explores the underlying mechanisms. A mouse model of AR was generated through ovalbumin (OVA) challeng Show more
This study investigates the effect of angiopoietin-like 4 (ANGPTL4) on allergic rhinitis (AR) and explores the underlying mechanisms. A mouse model of AR was generated through ovalbumin (OVA) challenge. The numbers of nasal rubbing and sneezing were counted and scored. Histological staining was conducted to analyze pathological alterations and inflammation in the mouse nasal mucosa. Inflammatory cytokines in serum and nasal lavage fluid (NALF) samples were analyzed using ELISA kits. Populations of regulatory T cells (Tregs) and Th17 cells in NALF or lymph nodes were analyzed using flow cytometry. Mice with AR were administered short hairpin (sh) RNAs targeting ANGPTL4. The effect of Notch pathway in AR severity was analyzed by gain- and loss-of-function assays. The consistent OVA challenge led to significant AR-like symptoms in mice, along with increased Notch signaling activation. Inhibiting this pathway using γ-secretase inhibitor (DAPT) markedly reduced the AR scores and alleviated inflammatory infiltration by improving Treg/Th17 cell balance. ANGPTL4 silencing significantly mitigated AR-related symptoms, Treg/Th17 cell imbalance, and inflammatory cascades in mice by inactivating the Notch signaling pathway. However, these alleviating effects of ANGPTL4 silencing on mice were negated by the administration of valproic acid, an agonist of the Notch signaling. This paper provides evidence that the ANGPTL4 knockdown shows significant therapeutic effects on AR by improving the Treg/Th17 cell balancing, effects achieved, at least in part, by blocking the Notch signaling pathway. Show less
📄 PDF DOI: 10.1186/s40001-025-03049-6
ANGPTL4
Shaoshen Wang, Xiangxiang Shi, Xiaoqi Li +9 more · 2025 · International journal of nanomedicine · added 2026-04-24
The early, precise, and safe management of vulnerable atherosclerotic plaques (VAPs) remains a formidable clinical challenge. Here, we present a targeted nanotherapeutic approach in which osteopontin- Show more
The early, precise, and safe management of vulnerable atherosclerotic plaques (VAPs) remains a formidable clinical challenge. Here, we present a targeted nanotherapeutic approach in which osteopontin-targeted nanoparticles encapsulate luteolin (NPs-Lut) for the precise delivery and treatment of VAPs. This engineered system enables site-specific accumulation and sustained release of luteolin at plaque sites. We innovatively constructed an osteopontin-targeted drug delivery system designed for vulnerable atherosclerotic plaques, in which luteolin and atorvastatin were successfully encapsulated. The system demonstrated sustained-release capability in vitro, and its biosafety and histocompatibility were comprehensively evaluated both in vitro and in vivo. Moreover, therapeutic efficacy was further assessed in ApoE In vivo evaluation in ApoE This work provides a robust and translationally promising nanoplatform for the precision treatment of VAPs, offering a novel strategy for safe and effective intervention in atherosclerotic cardiovascular disease. Show less
📄 PDF DOI: 10.2147/IJN.S566896
APOE
Yong Tan, Zixiong Zhang, Jinru Yang +8 more · 2025 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nona Show more
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nonalcoholic fatty liver (NAFLD) remains unclear. We used serum untargeted metabolomics analysis to evaluate whether high-Se exposure is cross-sectionally associated with lipid metabolism in adults from high-Se exposure area (n = 112) and control area (n = 101) in Hubei Province, China. An untargeted liquid chromatography/mass spectrometry (LC/MS)-based metabolomic analysis identified 144 differential pathways and yielded 204 differentially abundant metabolites, including 32 lipid metabolites associated with lipids profiles. To further explore the correlation between Se exposure and serum lipid metabolism, we measured serum levels of lipid profiles among all the people, including serum cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and apolipoprotein B (APOB). The average serum Se level of the high-Se exposure group was 537.18 μg/L, significantly higher than 72.98 μg/L in the control group (p < 0.0001). The measurement levels of serum TG, LDL-C, HDL-C, and APOB in the high-Se exposure group were 1.03 (0.76, 1.34) mmol/L, 2.25 ± 0.48 mmol/L, 1.12 ± 0.24 mmol/L, and 0.77 ± 0.15 g/L, respectively, while the control group were 1.13 (0.84, 1.80) mmol/L, 2.56 ± 0.61 mmol/L, 1.02 ± 0.22 mmol/L, and 0.83 ± 0.16 g/L, respectively (all p values <0.05). Correlation analysis showed a significant negative correlation between serum Se and CHOL (r = -0.201, p < 0.01), serum Se is also associated with metabolomics markers, the negative correlation includes glyceric acid and ect., the positive correlation includes phosphorylcholine and ect. Our study suggests that high-Se exposure is negatively associated with serum lipid profiles and decreases the risk of high-TC and HDL-C dyslipidemia. Show less
no PDF DOI: 10.1016/j.ecoenv.2025.117677
APOB
Yang Yu, Wenjun Xiao, Zhixin Ma +3 more · 2025 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Alzheimer’s disease (AD) is the most common type of dementia. A major pathological feature of AD is the aggregation of amyloid-β (Aβ), primarily driven by β-secretase (BACE1) activity. However, the me Show more
Alzheimer’s disease (AD) is the most common type of dementia. A major pathological feature of AD is the aggregation of amyloid-β (Aβ), primarily driven by β-secretase (BACE1) activity. However, the mechanisms underlying continuous Aβ accumulation remain unclear. Circulating extracellular vesicles (EVs) may play a crucial role in AD progression. Here, we investigate whether circulating EVs in AD promote Aβ generation and aggregation. In this study, we found that compared to WTEVs (circulating EVs isolated from WT mice), APPEVs (circulating EVs isolated from APP/PS1 mice) showed higher concentrations and activated the JAK2-STAT1 pathway in neurons, upregulating BACE1 expression and activity. This cascade promoted amyloid precursor protein (APP) β-cleavage in lipid rafts, inducing substantial Aβ generation. Proteomic analysis revealed complement C1q in APPEVs as a key protein activating the JAK2-STAT1-BACE1 pathway. Furthermore, in vivo experiments demonstrated that intravenously injected APPEVs crossed the blood-brain barrier without damaged the epithelial tight junction, promoting BACE1 expression in neurons, and enhancing Aβ production and aggregation in brain. Inhibition of C1q mitigated these effects in both in vitro and in vivo experiments. In conclusion, during the progression of AD, circulating EVs containing complement C1q are delivered to neurons, activating their JAK2-STAT1 signaling pathway. This activation upregulates the expression of BACE1, subsequently enhancing the β-cleavage of APP in lipid rafts. These events lead to a substantial increase in Aβ production, exacerbating the pathological progression of AD. The online version contains supplementary material available at 10.1186/s12974-025-03528-x. Show less
📄 PDF DOI: 10.1186/s12974-025-03528-x
BACE1
Xuening Li, Tingting Hu, Ruiwen Li +5 more · 2025 · Animal bioscience · added 2026-04-24
The aim of this study was to obtain goat CRTC2 gene sequence and elucidate its biological properties, and further study the impact of overexpression and interference of CRTC2 on the cell differentiati Show more
The aim of this study was to obtain goat CRTC2 gene sequence and elucidate its biological properties, and further study the impact of overexpression and interference of CRTC2 on the cell differentiation of goat subcutaneous precursor adipocytes. The sequence of goat CRTC2 was cloned by reverse transcription (RT)-polymerase chain reaction (PCR) and its molecular characterization was analyzed. The expression of CRTC2 gene in goat tissues and subcutaneous precursor adipocytes differentiated from 0 to 120 h was examined by quantitative real-time PCR (qRT-PCR). The effects of CRTC2 on the subcutaneous precursor adipocyte differentiation were investigated by using liposome transfection, Bodipy, Oil Red O staining and qPCR. The results showed that the cloned goat CRTC2 gene was 2363 bp long (coding sequence [CDS] 2082 bp), encoding 693 amino acids. The relative expression levels of CRTC2 gene were highest in liver and then in kidney (p<0.05). During differentiation, the highest expression of CRTC2 in subcutaneous precursor adipocytes was observed at 120 of differentiating (p<0.01). In addition, we found that overexpression of CRTC2 significantly increased the expression of lipid metabolism-related genes (C/EBPα, C/EBPβ, PPARγ, DGAT1, DGAT2, ACC, FASN, SREBP1, AP2, LPL, ATGL) and promoted lipid accumulation. We then chemically synthesized goat CRTC2 small interfering RNA and transfected it into goat subcutaneous precursor adipocytes. The results revealed that SiRNA-mediated interference with CRTC2 significantly inhibited its differentiation and suppressed lipid droplet aggregation. So, this study indicates that CRTC2 is a positive regulator that promoting cell differentiation of subcutaneous adipocyte in goats, which lays the foundation for an in-depth study of the role of CRTC2 in lipid deposition in goats. Show less
📄 PDF DOI: 10.5713/ab.24.0248
LPL
Linjie Ma, Yuqiu Zhou, Chao Li +2 more · 2025 · Annals of medicine · Taylor & Francis · added 2026-04-24
To explore the influence related factors of endoscopic assistant in gasless transaxillary endoscopic thyroidectomy by using machine learning and nomogram, and construct an endoscopic assistant system. Show more
To explore the influence related factors of endoscopic assistant in gasless transaxillary endoscopic thyroidectomy by using machine learning and nomogram, and construct an endoscopic assistant system. A skilled endoscopic assistant(Group A, The learning curve coefficient of goodness of fit R It is necessary to train endoscopic assistant to build an endoscopic assistant system, and improve the surgical process by shortening CET, TRT and reduce LWT times. The importance of experience accumulation to improve the efficiency of surgery should be emphasized. Show less
📄 PDF DOI: 10.1080/07853890.2025.2537354
CETP
Zhizhong Wang, Zhiyong Li, Ailong Lin +4 more · 2025 · PloS one · PLOS · added 2026-04-24
Amyloid cerebrovascular disease, primarily driven by the accumulation of amyloid-beta (Aβ) peptides, is intricately linked to neurodegenerative disorders like Alzheimer's disease. BACE1 (beta-site amy Show more
Amyloid cerebrovascular disease, primarily driven by the accumulation of amyloid-beta (Aβ) peptides, is intricately linked to neurodegenerative disorders like Alzheimer's disease. BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) plays a critical role in the production of Aβ, making it a key therapeutic target. In the current work, a CNS library of ChemDiv database containing 44085 compounds was screened against the BACE1 protein. Initially, a structure-based pharmacophore hypothesis was constructed, followed by virtual screening, with the screened hits docked to the BACE1 protein to determine the optimal binding modes. The docking results were examined using the glide gscore and chemical interactions of the docked molecules. The cutoff value of -5 kcal/mol was used to select hits with high binding affinities. A total of seven hits were chosen based on the glide g score. Furthermore, the possible binding mechanisms of the docked ligands were investigated, and it was discovered that all seven selected ligands occupied the same site in the predicted binding pocket of protein. The bioactivity scores of the compounds demonstrated that the chosen compounds possess the features of lead compounds. The toxicity risks and ADMET features of the selected hits were anticipated, and four compounds, J032-0080, SC13-0774, V030-0915, and V006-5608 were chosen for stability analysis. The selected hits were extremely stable and strongly bound to the BACE1 pocket, and conformational changes caused by RMSD, RMSF, and protein-ligand interactions were assessed using MD modeling. Similarly, principal component analysis revealed a large static number of hydrogen bonds. The MM/GBSA binding free energies maps revealed a significant energy contribution in the binding of selected hits to BACE1. The binding free energy landscapes indicated that the hits were bound with a high binding affinity. Thus, the hits could serve as lead compounds in biophysical investigations to limit the biological activity of the BACE1 protein. Show less
📄 PDF DOI: 10.1371/journal.pone.0317716
BACE1
Günther Silbernagel, Yan Q Chen, Hongxia Li +19 more · 2025 · Circulation · added 2026-04-24
ANGPTL3/4/8 (angiopoietin-like proteins 3, 4, and 8) are important regulators of LPL (lipoprotein lipase). ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4. ANGPTL4/8 complex formation converts ANGPTL Show more
ANGPTL3/4/8 (angiopoietin-like proteins 3, 4, and 8) are important regulators of LPL (lipoprotein lipase). ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4. ANGPTL4/8 complex formation converts ANGPTL4 from a furin substrate to a plasmin substrate, and both cleavages generate similar C-terminal domain-containing (CD)-ANGPTL4 fragments. Whereas several studies have investigated associations of free ANGPTL proteins with cardiovascular risk, there are no data describing associations of the complexes and CD-ANGPTL4 with outcomes or describing the effects of the complexes on LPL bound to GPIHBP1 (glycosylphosphatidylinositol HDL-binding protein 1). Recombinant protein assays were used to study ANGPTL protein and complex effects on GPIHBP1-LPL activity. ANGPTL3/8, ANGPTL3, ANGPTL4/8, and CD-ANGPTL4 were measured with dedicated immunoassays in 2394 LURIC (Ludwigshafen Risk and Cardiovascular Health) study participants undergoing coronary angiography and 6188 getABI study (German Epidemiological Trial on Ankle Brachial Index) participants undergoing ankle brachial index measurement. There was a follow-up for cardiovascular death with a median (interquartile range) duration of 9.80 (8.75-10.40) years in the LURIC study and 7.06 (7.00-7.14) years in the getABI study. ANGPTL3/8 potently inhibited GPIHBP1-LPL activity and showed positive associations with LDL-C (low-density lipoprotein cholesterol) and triglycerides (both ANGPTL3/8 potently inhibited GPIHBP1-LPL enzymatic activity, consistent with its positive association with serum lipids. However, ANGPTL3/8, LDL-C, and triglyceride levels were not associated with cardiovascular death in the LURIC and getABI cohorts. In contrast, concentrations of ANGPTL4/8 and particularly CD-ANGPTL4 were positively associated with inflammation, the prevalence of diabetes, and cardiovascular mortality. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.124.069272
ANGPTL4
Jiao Gong, Huiru Sun, Kaiyuan Wang +26 more · 2025 · Nature communications · Nature · added 2026-04-24
Genomic structural variants (SVs) are a major source of genetic diversity in humans. Here, through long-read sequencing of 945 Han Chinese genomes, we identify 111,288 SVs, including 24.56% unreported Show more
Genomic structural variants (SVs) are a major source of genetic diversity in humans. Here, through long-read sequencing of 945 Han Chinese genomes, we identify 111,288 SVs, including 24.56% unreported variants, many with predicted functional importance. By integrating human population-level phenotypic and multi-omics data as well as two humanized mouse models, we demonstrate the causal roles of two SVs: one SV that emerges at the common ancestor of modern humans, Neanderthals, and Denisovans in GSDMD for bone mineral density and one modern-human-specific SV in WWP2 impacting height, weight, fat, craniofacial phenotypes and immunity. Our results suggest that the GSDMD SV could serve as a rapid and cost-effective biomarker for assessing the risk of cisplatin-induced acute kidney injury. The functional conservation from human to mouse and widespread signals of positive natural selection suggest that both SVs likely influence local adaptation, phenotypic diversity, and disease susceptibility across diverse human populations. Show less
no PDF DOI: 10.1038/s41467-025-56661-9
WWP2
Jie Zhou, Shuxin Wang, Jiaxin Lou +17 more · 2025 · Nature communications · Nature · added 2026-04-24
Podocyte injury is central to diabetic kidney disease (DKD) pathogenesis, however, the mechanisms underlying podocyte loss remain unclear. Emerging evidence underscores the involvement of fibroblast g Show more
Podocyte injury is central to diabetic kidney disease (DKD) pathogenesis, however, the mechanisms underlying podocyte loss remain unclear. Emerging evidence underscores the involvement of fibroblast growth factors (FGFs) in renal pathophysiology. Here we reveal a previously unappreciated role of podocyte-secreted FGF4 in safeguarding renal function. FGF4 expression is downregulated in renal tissues from DKD patients and animal models, correlating with disease severity. Podocyte-specific deletion of Fgf4 exacerbated podocyte loss and accelerated DKD progression in mice. Conversely, treatment with recombinant FGF4 (rFGF4) improved glomerular filtration and reduced renal injury and fibrosis in diabetic male mice. These effects are primary mediated by activating the FGFR1-AMPK-FOXO1 signaling cascade in podocytes, which mitigates oxidative stress, suppresses apoptosis, and fosters podocyte survival. Notably, rFGF4 also restores the morphology and function of human podocytes exposed to high glucose. Our findings establish FGF4 as a critical regulator of podocyte homeostasis and a potential therapeutic target for DKD. Show less
📄 PDF DOI: 10.1038/s41467-025-65978-4
FGFR1
Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang +6 more · 2025 · Reviews in cardiovascular medicine · added 2026-04-24
Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limi Show more
Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limited. In this observational study, 1111 PMI patients (≤55 years) at Tianjin Chest Hospital from 2017 to 2022 were selected and divided according to their SYNTAX scores into a low-risk group (≤22) and medium-high-risk group (>22). These groups were further randomly assigned to a training or test set in a ratio of 7:3. Lasso-logistic was initially used to screen out target factors. Subsequently, Lasso-logistic, random forest (RF), k-nearest neighbor (KNN), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost) were used to establish prediction models based on the training set. After comparing prediction performance, the best model was chosen to build a prediction system for coronary artery severity in PMI patients. Glycosylated hemoglobin (HbA1c), angina, apolipoprotein B (ApoB), total bile acid (TBA), B-type natriuretic peptide (BNP), D-dimer, and fibrinogen (Fg) were associated with the severity of lesions. In the test set, the area under the curve (AUC) of Lasso-logistic, RF, KNN, SVM, and XGBoost were 0.792, 0.775, 0.739, 0.656, and 0.800, respectively. XGBoost showed the best prediction performance according to the AUC, accuracy, F1 score, and Brier score. In addition, we used decision curve analysis (DCA) to assess the clinical validity of the XGBoost prediction model. Finally, an online calculator based on the XGBoost was established to measure the severity of coronary artery lesions in PMI patients. In summary, we established a novel and convenient prediction system for the severity of lesions in PMI patients. This system can swiftly identify PMI patients who also have severe coronary artery lesions before the coronary intervention, thus offering valuable guidance for clinical decision-making. Show less
📄 PDF DOI: 10.31083/RCM26102
APOB