👤 Yahui Li

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Also published as: Xiaofeng Li, Jiajia Li, Jingwen Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Ziming Li, Xihao Li, Hang Li, Rongqing Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Xiao-Lin Li, Yicun Li, Zhao-Yang Li, Jiajie Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, X Y Li, Ran Li, Peilin Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Ye Li, Guanglve Li, Z Li, Zili Li, Xinmei Li, Yihao Li, Liling Li, Qing Run Li, Wulan Li, Meng-Yang Li, Ziyun Li, Haoxian Li, Xiaozhao Li, Jun-Ying Li, Da-Lei Li, Xinhai Li, Yongjiang Li, Wanru Li, Jinming Li, Huihui Li, Wenhao Li, Qiankun Li, Kailong Li, Shengxu Li, Shisheng Li, Sai Li, Guangwen Li, Hua Li, Xiuli Li, Dongmei Li, Yulong Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Fa-Hui Li, Caiyu Li, Xueyang Li, Xuelin Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Chen-Xi Li, Mingxu Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, 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, Zhongxuan Li, Xuewen Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Yongli Li, Z-H Li, Hujie Li, Baohong Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Wen-juan Li, Hualing Li, Sibing Li, Xining Li, Qinghe Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Huanan Li, Jingya Li, Liqin Li, Youjun Li, Zheng-Dao Li, Miao X Li, Zhenshu Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Runwen Li, Wenbo Li, Yarong Li, Side Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Lingxi Li, Chuan-Hai Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, 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, Qintong Li, Junping Li, Xiao Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Shengchao A Li, Pan Li, Jiaying Li, Jun-Jie Li, Cui-lan Li, Ruonan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Desen Li, Tianjun Li, Yansong Li, Xiying Li, Weiyong Li, Zihao Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, Wan Jie Li, L K Li, Ya-Ting Li, Aimin Li, Dongbiao Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, 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, Xiangzhe Li, Zhichao Li, Jiayuan Li, Siguang Li, Minglun Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Hailong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Zijing Li, Dengke Li, Wentao Li, Yuchuan 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, Gang Li, Panyuan Li, Ziyu Li, Mengxuan Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Huaiyuan Li, Dongnan Li, Rui-Fang Li, Jianzhong Li, Huaping Li, Ji-Liang Li, C H Li, Bohua Li, Bing Li, Pei-Ying Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, Song-Chao Li, Lujiao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Yan-Yan Li, Liwei Li, Huijun Li, Chengjian Li, Chengyun 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, Zhaoshui Li, Yali 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, Yanxi Li, Wan-Xin Li, Ning Li, Ruobing 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, Yongqi Li, Qingyuan 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, Ganggang Li, Jinxin Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Mengxia Li, Jutang 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, Dong-Yun Li, Qingrun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Fengfeng Li, Yumiao Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Junxu Li, Xingye Li, Xiangjun 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, Mulin Jun Li, Yinghua Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Chaoying Li, Siyu Li, Qiu Li, Juanjuan Li, Xiangyan Li, Guangzhen Li, Kunlun Li, Shiyun Li, Xiaoyu Li, Yaobo Li, Shiquan Li, Xuewang Li, Mei Li, Xiangdong Li, Jifang Li, Zhenjia Li, Manjiang Li, Wan Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Chunqiong Li, Huiliang Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yuqiu 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, 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, 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, Jinglin Li, Dongyang Li, Honglong Li, Mingfang Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo 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, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Tian-wang Li, Lixiang 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, Yuhua Li, Sujing Li, Xuri Li, Wenzhuo Li, Y Li, Deqiang 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, 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, Bingsong Li, Shuai Li, Anqi Li, Xiaoju Li, Zhenyu Li, Xiaonan Li, Ting 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, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Zong-Xue Li, Chunya Li, En-Min Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Yuanheng Li, Qian-Qian Li, Chunxiao Li, Wenli Li, Shijun Li, Kuan Li, Mengze Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Yu-Sheng Li, Junxin Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shanglai Li, Shulin Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, JunBo Li, Zhongcai Li, Xueying Li, Jun-Ru Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Haihua Li, Linxin 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, Yi-Wen Li, Xiyun Li, Rulin Li, Ya-Pei Li, Huifeng Li, Shihong 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, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Zhenzhou Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Xiangpan Li, Zesong Li, Yutong Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, 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, 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, Guohua Li, Wen-Ting Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Jianang Li, Xue-Peng Li, Qing Li, Jiaping Li, Sheng-Tien Li, 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, Meng-Hua Li, Shaodan Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Zheng Li, Ming-Hao Li, Donghe Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Menghua Li, Jingqi Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Chong Li, Xiao-Kang Li, Fugen Li, Hanqi Li, Yuwei Li, Yangyang Li, Dongfang Li, Xiaochen Li, Zizhuo Li, Zhuorong Li, X-H Li, Xianrui Li, Lan-Juan Li, Dong Sheng Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Huanqiu Li, Xiaoman 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, Cuiling Li, Changgui Li, Zhisheng 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, Yue-Ying Li, Kongdong Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Xinmiao Li, Yuzhe Li, Chenyang Li, Jiacheng Li, Qifang Li, Xiaohua Li, Chang-Yan Li, Duanxiang Li, Xiaolin Li, Vivian Li, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Hongchang Li, Xiaohui 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, Guoxing Li, Shujie Li, Jianyong Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, 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, AnHai Li, Hui Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinghua Li, Qinqin Li, Lipeng Li, Leilei Li, Defu Li, Ranchang Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Shunhua Li, Yu-I Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Ziqi Li, Shen Li, Tianjiao Li, Gui-Rong Li, Yunfeng Li, Shufen Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhankui Li, Zhi Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Zhijie Li, Meng Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Weiling Li, Mengfan Li, Jie Li, Shiyan Li, 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, Chaojie Li, Michelle Li, Caolong Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Guangdi Li, Peipei Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Tiansen Li, Zheyun Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, S L Li, Ben-Shang Li, Ming-Kai Li, Xionghao Li, Shunqing Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Ruolin Li, Yongle Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, M Li, Dong-Ling Li, Chenwen Li, Jiehan Li, Le Li, Yong-Jian 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, Wei-Dong Li, Guannan 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, 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, Hui-Jun Li, Shun Li, Guojun Li, Xuefei Li, Senlin Li, Hung Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Hongzhe K Li, Fulun Li, Xiao-Qiu Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Lihong Li, Chun Li, Jianan Li, Haixia Li, Wenfang 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, Xiaofei Li, Hung-Yuan Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, Xiaojiao Li, H Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Baichuan Li, Daoyuan Li, Haibo Li, Wenqi Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Yihan Li, Chitao Li, Haiyang Li, Xiaobai Li, Junsheng Li, Jiayu Li, Pingping Li, Mingquan Li, Wen-Ya Li, Yunlun Li, Suran Li, Rongxia Li, Yuanfang Li, Yingqin Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Han-Bing Li, Chunlin Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Caihong Li, Hongmin Li, Yajing Li, Peng Peng Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Jian-Jun Li, Dongmin Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Xinxin Li, Jian-Shuang Li, You-Mei Li, Dazhi Li, Chenglan Li, Yubin Li, Beixu Li, Yuhong Li, Di Li, Fengqiao Li, Guiyuan Li, Yanbing Li, Suk-Yee Li, Jufang Li, Shengjie Li, Yuanyuan Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Minghua Li, Xiyue Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Yingjian Li, Hongjuan Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Wen-Chao Li, Dan-Ni Li, Sunan Li, Zhencong Li, Chunqing Li, Lai K Li, Jiong Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Xiujuan Li, Yongsheng Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Yuling Li, Wendeng Li, Ding Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Linyan Li, Yanjun Li, Ming-Yang Li, Shengze Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Congcong Li, Ji-Lin Li, Ping'an Li, Yushan Li, Juan Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Wen Li, Jinfeng Li, Shiheng Li, Hsiao-Fen Li, Jiangan Li, Yu-Kun Li, Weihai Li, Zhaojin Li, Bingxin Li, Mengjiao Li, Wenjuan Li, Wenyu Li, Meng-Meng Li, Chia-Yang Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Su Li, Wenlei Li, Xi-Xi Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Chenguang Li, Ming D Li, Xujun Li, Ruyue Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Jiazhou Li, Sherly X Li, Zechuan Li, Zhijun Li, Wanling Li, Ya-Ge Li, Yinyan Li, Qijun Li, Guangli Li, Rujia Li, Zhiwei Li, Lixia Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Huijie Li, Zhongwen Li, W W Li, Yalan Li, Jing-gao Li, Yiyang Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, Bingsheng Li, Jingui Li, Yaqiao Li, Huamao Li, Xiankun Li, Jingke Li, Xiaowei Li, Tianyao Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Chumei Li, Zhixiong 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, Qihua Li, Zhengyao Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, 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, Long-Yan Li, Chuanbao 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, Bolun Li, Kunlin 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, Xinrui Li, Congye Li, Wensheng Li, Dehai Li, Jiannan Li, Qingshang Li, Guanbin Li, Hanbin Li, Zhiyi Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, 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, Yuemei Li, Zhi-Yuan Li, Hai Li, Yanli Li, Jingfeng Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Xiao-Hong Li, Mengjuan Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Baosheng Li, Zhonglian Li, Yujun Li, Mian Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Yueting Li, Guojin Li, Xin-Yue Li, YaJie Li, Dingchen Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Peining Li, Congjiao Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Keshen Li, Kechun Li, Chenlu Li, Nianyu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Cuiguang Li, Dongye Li, Qun Li, Tianye Li, Zhen Li, Yuan Li, Chunhong Li, F Li, Mengling Li, Kunpeng Li, 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articles
Yanan Li, Chenglong Li · 2026 · Stroke · added 2026-04-24
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health Show more
We aim to examine prospective associations of longitudinal adherence to antihypertensive medication, A longitudinal cohort using 12-year survey data from wave 8 (2006) to wave 14 (2018) in the Health and Retirement Study, an ongoing national survey recruiting community-dwelling adults aged ≥50 years in the United States. Longitudinal adherence to antihypertensive medication was evaluated during wave 8 (2006) to wave 10 (2010), based on self-reported antihypertensive medication use at each wave. Incident dementia cases were ascertained during wave 10 (2010) to wave 14 (2018) by combining self-reported diagnosis and standardized cognitive batteries, excluding prevalent cases during the medication adherence evaluation period. Cox proportional hazard regression was utilized to assess dementia risk, with adjusted hazard ratios (HR) and 95% CIs calculated, controlling for sociodemographic characteristics, socioeconomic status indicators, lifestyle factors, and clinical conditions, as well as blood pressure measurements. A total of 18 469 participants were screened, after which 11 835 participants (mean [SD] age: 66.2 [10.1] years; men: 40.6%) were included, with 1136 incident dementia cases. After controlling blood pressure and other known risk factors, hypertension participants who persistently adhered to antihypertensive medication during follow-up had a 27% lower dementia risk (HR, 0.73 [95% CI, 0.61-0.87]) than the low adherence group, which was more evident than the associations between baseline antihypertensive medication use and dementia. The difference in dementia risk was insignificant when comparing the high adherence group with the normotension group (HR, 1.03 [95% CI, 0.88-1.21]). The results were consistent in non- Persistently adhering to antihypertensive medication was consistently associated with a lower subsequent dementia risk in community-dwelling middle-aged and older adults. Show less
no PDF DOI: 10.1161/STROKEAHA.125.051564
APOE
Hang Yang, Xingyue Wang, Caixia Wang +7 more · 2026 · Cell communication and signaling : CCS · BioMed Central · added 2026-04-24
The hepatocytes orchestrate anabolic and catabolic pathways by dynamically modulating mitochondria–endoplasmic reticulum contacts (MERCs) in response to dietary fluctuations. While MERCs exhibit prono Show more
The hepatocytes orchestrate anabolic and catabolic pathways by dynamically modulating mitochondria–endoplasmic reticulum contacts (MERCs) in response to dietary fluctuations. While MERCs exhibit pronounced dietary sensitivity, the underlying regulatory mechanisms remain poorly elucidated. Here, a bimolecular fluorescence complementation-based proximity labeling strategy was utilized to identify the MERCs proteomes in hepatocytes under various nutritional conditions. As a result, many previously uncharacterized MERCs proteins were identified to be sensitive to nutritional state, suggesting that these proteins might play important roles in regulating hepatic metabolism. We further demonstrated that FADS3 accumulates at MERCs under starvation. FADS3 was proved to play important role for the maintenance of MERCs in both cell lines and mice liver. Deficiency of FADS3 in mice liver induces altered sphingolipid metabolism under starvation. Our study provided comprehensive insights into the composition and dynamics of mitochondria-ER contacts in hepatocytes under various metabolic conditions, and also revealed key regulatory proteins linking mitochondria-ER contacts and metabolic adaptation. [Image: see text] The online version contains supplementary material available at 10.1186/s12964-026-02679-5. Show less
📄 PDF DOI: 10.1186/s12964-026-02679-5
FADS3
Pei Zhang, Huaihai Lu, Xuze Li +6 more · 2026 · BMC medical genomics · BioMed Central · added 2026-04-24
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in th Show more
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in the development and recovery of tracheal injury from septic shock. Nine New Zealand white rabbits were randomized to control (CON), septic shock model (SS), and septic shock norepinephrine treatment (SSNE) groups (each group n = 3). The SS and SSNE groups were injected with lipopolysaccharide to induce septic shock. The SSNE group was administered Ringer lactate with norepinephrine to maintain normal blood pressure. All animals underwent cuffed endotracheal intubation for 2 h. The injured tracheal segment was harvested. RNA sequencing was performed to identify the DEGs, followed by bioinformatics analysis, and pathological staining (both HE and Masson) was performed for pathological evaluation. Bioinformatics analysis included principal component analysis (PCA), gene set enrichment analysis (GSEA), and protein-protein interaction (PPI) network construction. Key findings were validated by qRT-PCR and immunohistochemistry. We obtained 124 upregulated and 28 downregulated DEGs in SS vs. CON groups, along with 60 upregulated and 178 downregulated DEGs in SSNE vs. SS groups. The pathological score showed that trachea tissue in the SS group had the highest score. The protein-protein interaction (PPI) prediction identified APOB and CD36 as the hub genes. The molecular experiments further confirmed that at mRNA and protein levels, APOB was significantly upregulated, while CD36 was significantly downregulated. Subsequent qRT-PCR and immunohistochemical analyses confirmed that APOB expression was significantly upregulated while CD36 was downregulated in the septic shock group, a trend partially reversed by norepinephrine treatment. Our study results suggest that APOB and CD36 may be involved in the pathogenesis of tracheal injury recovery in septic shock patients treated with NE. Not applicable. Show less
📄 PDF DOI: 10.1186/s12920-025-02304-3
APOB
Yunyun Liu, Xiangrui Li, Ting Zhao +9 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile an Show more
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1741344
LPA
Cheng Huang, Haowen Liu, Bao Jiang +6 more · 2026 · Bioelectrochemistry (Amsterdam, Netherlands) · Elsevier · added 2026-04-24
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high m Show more
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high miss rates. This study innovatively proposes using urinary hydrogen peroxide (H Show less
no PDF DOI: 10.1016/j.bioelechem.2025.109173
DYM
Mei Li, Zeqing Xu, Jiarui Zeng +6 more · 2026 · International journal of medical microbiology : IJMM · Elsevier · added 2026-04-24
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key g Show more
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key genes in Koi Carp responding to S. aureus from human rhinitis remain unclear. In this study, we established an intraperitoneal infection model in koi carp (Cyprinus carpio) using an S. aureus isolate from patients with rhinitis and integrated RNA-seq, qPCR, and ELISA to dissect the host response. Our findings reveal a dual-module immune evasion strategy employed by S. aureus in koi carp. Module I: The pathogen down-regulated the entire complement coagulation cascade (C3, C9, CFH, F7/9/10) and apolipoprotein-mediated opsonins (APOA1, APOB, APOC1/2), thereby crippling innate clearance. Module II: The host mounted a restricted but potent counter-response, characterized by type I IFN signalling (gvin1, MHC-I), NK/T-cell co-stimulation (CD244, SLAMF5), and the selective induction of IL-8 and IL-1β, while IL-6, IL-10, and TNF-α remained unchanged. Functionally, serum superoxide dismutase (SOD), catalase (CAT), and lysozyme (LZM) activities surged, confirming an oxidative burst, whereas splenic CD22R protein decreased, indicating B-cell disinhibition. These results establish a molecular basis for understanding the interaction between human-derived S. aureus and the immune system of aquatic organisms. Show less
no PDF DOI: 10.1016/j.ijmm.2026.151707
APOB
Tengyun Yang, Chao Jia, Guoliang Wang +6 more · 2026 · Osteoarthritis and cartilage · Elsevier · added 2026-04-24
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed Show more
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed data from the U.S. National Health and Nutrition Examination Survey (NHANES, 2011-2018; n = 8981). Obesity was defined using body mass index (BMI ≥ 30 kg/m²) combined with body fat percentage (BFP ≥ 25 % in men and ≥ 32 % in women). Logistic regression and subgroup analyses were conducted to evaluate associations with OA. Genetic correlation between obesity and OA was estimated using linkage disequilibrium score regression (LDSC). Two-sample Mendelian randomization (MR) was applied to assess causal effects using genome-wide association study (GWAS) summary statistics for BFP and OA. Transcriptome-wide association studies (TWAS) and colocalization analyses were performed to identify candidate genes. Mediation MR was conducted to verify their mediating roles. Obesity defined by BMI combined with BFP was significantly associated with OA (OR = 1.421, 95 %CI: 1.048-1.925, P = 0.025), and was independent of age, race, and various comorbidities. MR analysis confirmed a unidirectional causal effect of obesity on OA (IVW OR = 2.349, 95 %CI: 2.012-2.743, P < 0.001), with no reverse causality detected. TWAS and colocalization identified MAPK3, RBM6, and PRMT6 as potential mediators. Mediation MR confirmed significant effects of MAPK3 (β = 0.991, P = 0.015) and RBM6 (β = 2.740, P < 0.001) in the obesity-OA pathway. Obesity exerts a causal effect on OA, partially mediated by the downregulation of MAPK3 and RBM6. These genes represent potential targets for the prevention and treatment of obesity-related OA. Show less
no PDF DOI: 10.1016/j.joca.2025.11.003
RBM6
Wei Li, Lebin Liu, Weiwei Liu +1 more · 2026 · Frontiers in neurology · Frontiers · added 2026-04-24
Post-stroke cognitive impairment (PSCI) is a prevalent sequela of stroke that severely limits recovery and quality of life. Accumulating evidence indicates that acupuncture exerts significant neuropro Show more
Post-stroke cognitive impairment (PSCI) is a prevalent sequela of stroke that severely limits recovery and quality of life. Accumulating evidence indicates that acupuncture exerts significant neuroprotective and cognitive-enhancing effects in PSCI; however, the underlying mechanisms remain fragmented across molecular, cellular, and systems levels. This review proposes an integrative neurobiological framework linking neurotransmission, neuroinflammation, neurotrophic signaling, and brain network remodeling to explain how acupuncture promotes neurorepair and cognitive restoration after stroke. We systematically summarized recent clinical and experimental findings from 2001 to 2025 and categorized the converging mechanisms into five inter-related dimensions: (1) regulation of neurotransmitters and synaptic plasticity; (2) anti-inflammatory and immune modulation; (3) anti-oxidative stress and anti-apoptotic actions; (4) up-regulation of BDNF-related pathways and neurotrophic signaling; and (5) enhancement of neurogenesis and reconstruction of brain functional networks. Collectively, these multimodal effects form a systems-level cascade through which acupuncture may facilitate neuroplastic remodeling and cognitive recovery. Current challenges include heterogeneity of study design, insufficient multi-omics validation, and limited longitudinal imaging evidence. Future research should integrate molecular biomarkers, neuroimaging, and clinical outcomes to verify this multi-layered mechanistic framework and to guide precision acupuncture protocols for PSCI rehabilitation. Show less
📄 PDF DOI: 10.3389/fneur.2026.1744242
BDNF
Yuejia Ma, Yanxi Li, Guangrun Wu +10 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, d Show more
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, death. The global incidence of AD is projected to increase significantly, with late-onset AD being predominantly sporadic in nature. Over the past three decades, the Apolipoprotein E (APOE) gene has been recognized as the most important single genetic determinant of sporadic AD risk. The APOE4 allele is a major risk factor for AD and is known to exacerbate the pathological process for AD. Identifying protective variants that may reduce the risk or delay the onset of AD is of great significance for the development of effective treatments. This review comprehensively examines the protective effects of APOE and its related protective mutations. It also explores the impact of these unique protective variants at the cellular level during the pathological progression of AD. Furthermore, the review compiles new insights for AD treatment offered by these protective mutations, exploring the potential applications of APOE and its related protective variants in advanced therapeutic strategies, including gene editing, RNA editing, and stem cell therapy. Show less
📄 PDF DOI: 10.1038/s41380-026-03496-5
APOE
Jia Pu, Lan Huang, Yuemei Li +1 more · 2026 · BMC women's health · BioMed Central · added 2026-04-24
This study investigated the latent profiles of reproductive concerns among women of childbearing age with systemic lupus erythematosus (SLE) and analyzed the differences in the characteristics across Show more
This study investigated the latent profiles of reproductive concerns among women of childbearing age with systemic lupus erythematosus (SLE) and analyzed the differences in the characteristics across these profiles. A questionnaire was administered to 332 female patients of childbearing age with SLE at four tertiary-grade general hospitals in Mianyang City, China. We used a general information questionnaire, the Reproductive Concerns After Cancer Scale (RCAC), the Medical Coping Modes Questionnaire (MCMQ), and the Social Support Rating Scale (SSRS). A latent profile analysis (LPA) and multiple logistic regression models were employed to investigate the characteristics of the latent profiles and the factors that influence reproductive concerns. The total score for the reproductive concerns among women with SLE of childbearing age was moderate (58.45 ± 13.51). Four latent profiles were identified: low reproductive concern–high infertility acceptance (12.66%), moderate reproductive concern–concern about personal health (18.95%), moderate reproductive concern–concern about the child’s health (45.64%), and high reproductive concern–balance (22.75%). The model fit indices that support the four latent profiles included high entropy (0.92) and a significant result of the Lo–Mendell–Rubin (LMR) adjusted likelihood ratio test ( The reproductive concerns observed among women of childbearing age with SLE exhibited significant heterogeneity. In the field of clinical nursing, personalized intervention measures should be developed based on distinct categorical characteristics and influencing factors to reduce reproductive concerns among members of this patient population. Show less
📄 PDF DOI: 10.1186/s12905-026-04342-0
LPA
Lili Zhang, Yujie Yang, Wei Yuan +7 more · 2026 · Research (Washington, D.C.) · added 2026-04-24
📄 PDF DOI: 10.34133/research.1052
APOE
Karleena Rybacki, Emily Na Young Cha, Hannah M Deutsch +7 more · 2026 · bioRxiv : the preprint server for biology · added 2026-04-24
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diag Show more
Gliomas comprise a heterogeneous group of central nervous system tumors in which gene fusions (GFs) are significant oncogenic drivers and emerging diagnostic and therapeutic biomarkers. In cancer diagnosis, GF detection largely relies on targeted short-read sequencing fusion panels, such as the Children's Hospital of Philadelphia (CHOP) Fusion Panel (FUSIP). While these panels are effective for detecting recurrent, well-characterized GFs, they are limited to predefined gene sets and cannot identify full-length transcripts. Here, we analyzed 49 high- and low-grade gliomas previously classified as fusion-negative by FUSIP using an untargeted whole-transcriptome RNA sequencing approach with Oxford Nanopore Technologies (ONT) long-read sequencing. This enabled transcriptome-wide fusion discovery of additional known and potentially novel oncogenic GFs beyond panel constraints. Long-read sequencing further allowed direct resolution of full-length fusion transcripts and their associated isoform structures. By integrating GF detection with isoform-level transcript analysis, we identified fusion-associated transcript isoforms with alternative splicing patterns that aligned near reported GF breakpoints, including Show less
📄 PDF DOI: 10.64898/2026.03.13.711117
APOE
Zi-Yu Wei, He-Ping Wang, Song Tang +10 more · 2026 · Genomics, proteomics & bioinformatics · Oxford University Press · added 2026-04-24
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To addre Show more
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To address this, we performed multi-tissue metabolomic profiling (liver, heart, and serum) in apolipoprotein E-deficient (ApoE-/-) mice subjected to CR. Metabolomic analyses of the multiple tissues revealed that glycerophospholipid metabolism pathway was consistently modulated by CR. To explore its relevance in vascular diseases, we performed serum metabolomic profiling in an abdominal aortic aneurysm (AAA) model induced by angiotensin Ⅱ (AngⅡ) infusion in ApoE-/- mice. The level of lysophosphatidylethanolamine (LPE) (16:0/0:0), a metabolite in the glycerophospholipid metabolism pathway, was elevated during AAA progression and significantly reduced by CR intervention, suggesting its potential as a vascular disease risk factor. Notably, glycerophospholipid metabolism and LPE (16:0) were significantly associated with vascular diseases and aging-related indicators in human multi-omics data, including public transcriptomic and lipidomic, and our serum multi-omics profiling of 76 healthy aged individuals. Collectively, our findings establish glycerophospholipid metabolism and LPE (16:0) as systemic signatures of CR with diagnostic potential. They highlight a crucial link between systemic metabolism and vascular remodeling and remodeling-associated vascular diseases, while also functioning as indicators of systemic aging. Show less
no PDF DOI: 10.1093/gpbjnl/qzag030
APOE
Fei Li, Xin Zhang, Hong Jiang +2 more · 2026 · Folia neuropathologica · added 2026-04-24
Intracerebral hemorrhage (ICH) has a high rate of death and disability. LncRNA-TUG1 is essential for the pathological changes secondary to ICH. The purpose of this work was to investigate the possible Show more
Intracerebral hemorrhage (ICH) has a high rate of death and disability. LncRNA-TUG1 is essential for the pathological changes secondary to ICH. The purpose of this work was to investigate the possible mechanism by which TUG1 inhibits neural repair subsequent to ICH through adjusting miR-381-3p/brain-derived neurotrophic factor (BDNF). After the ICH model was created, miR-381-3p agomir and pcDNA-TUG1 were injected. The neural function of rats was estimated using the modified neurological severity score. To quantify the expression of genes and proteins, western blotting, immunohistochemistry, and qRT-PCR were used. To confirm the interaction between TUG1 and miR-381-3p and between miR-381-3p and BDNF mRNA, a luciferase reporter assay was employed. In rats treated with miR-381-3p agomir, a trend of improvement in neurological dysfunction was observed, while the pcDNA-TUG1-treated ones showed deterioration. Furthermore, miR-381-3p agomir increased, while pcDNA-TUG1 reduced the expression level of BDNF in ICH rats. TUG1 and BDNF mRNA were validated to attach directly to miR-381-3p. Overexpressing TUG1 inhibited the level of BDNF by sponging miR-381-3p and antagonized its protective effect on neural repair in ICH rats. Our study suggests that TUG1 can sponge miR-381-3p to downregulate BDNF expression and inhibit neural repair following ICH, demonstrating a potential signaling pathway that is conducive to a better understanding of the pathological mechanisms of ICH. Show less
📄 PDF DOI: 10.5114/fn.2025.154414
BDNF bdnf cerebral hemorrhage ich lncrna mir-381-3p neural repair tug1
Yue Yao, Xiao Wu, Hao Wu +2 more · 2026 · Foods (Basel, Switzerland) · MDPI · added 2026-04-24
Unhealthy diets characterized by high salt, fat, and fructose content are established risk factors for metabolic and cardiovascular disorders and may have indirect effects on cognitive function. Howev Show more
Unhealthy diets characterized by high salt, fat, and fructose content are established risk factors for metabolic and cardiovascular disorders and may have indirect effects on cognitive function. However, the combined impact of a high-salt, high-fat, and high-fructose diet (HSHFHFD) on systemic physiology and brain health remains to be fully elucidated. Sprague-Dawley (SD) rats received a customized high-salt, high-fat diet supplemented with 30% fructose water for 18 weeks. Physiological and brain parameters were assessed, in combination with multi-omics analyses including brain proteomics and metabolomics, serum metabolomics, and gut microbiota profiling. HSHFHFD significantly elevated blood glucose, blood pressure, and serum levels of TG, TC, and LDL in rats. Serum metabolomic profiling identified over 100 differentially abundant metabolites in the Model group. Proteomics, metabolomics, and gut microbiome integration revealed pronounced alterations in both brain proteomic and metabolomic profiles, with 155 differentially expressed proteins associated with glial cell proliferation and 65 differential metabolites linked to fatty acid and amino acid metabolism, among others. Experimental validation confirmed marked upregulation of GFAP and Bax protein, concomitant with downregulation of ZO-1 and occludin. Furthermore, HSHFHFD perturbed the CREB signaling pathway, leading to diminished BDNF expression. The levels of inflammatory factors, including IL-6, IL-10, IL-1β and TNFα, were significantly elevated in the brain. Oxidative stress was evident, as indicated by elevated malondialdehyde (MDA) levels, increased superoxide dismutase (SOD) activity, and altered NAD HSHFHFD-induced depletion of gut Show less
📄 PDF DOI: 10.3390/foods15010171
BDNF
Hai-Bi Su, Jing-Huan Wang, Yu-Yu Zhang +7 more · 2026 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Myocardial hypertrophy is one of the most prominent features of heart failure. SET domain-containing protein 7 (Setd7), a catalytic enzyme responsible for histone H3K4 methylation, has been implicated Show more
Myocardial hypertrophy is one of the most prominent features of heart failure. SET domain-containing protein 7 (Setd7), a catalytic enzyme responsible for histone H3K4 methylation, has been implicated in various cardiac diseases. In this study we investigated whether Setd7 contributed to the development of cardiac hypertrophy. Male mice were subjected to a hypobaric hypoxic environment for 8 weeks; neonatal rat cardiomyocytes (NRCMs) exposed to hypoxia for 6 h. We showed that hypoxic stimulation significantly upregulated the expression levels of Setd7 along with the expression of hypertrophic markers ANP and BNP in NRCMs. By conducting loss- and gain-of-function assays, we demonstrated that Setd7 modulated the hypertrophic and inflammatory markers in hypoxic cardiomyocytes. We further revealed that Setd7-mediated activation of E2F1 (E2 promoter binding factor 1) triggered the expression of E3 ubiquitin protein ligases WWP2, which catalyzed the ubiquitination and degradation of glutathione peroxidase 4 (GPx4), a critical lipid peroxide-reducing enzyme. This degradation drove extensive lipid peroxidation, thereby exacerbating pathological cardiac hypertrophy. Notably, GPx4 inhibition by ras-selective lethal small molecule 3 (RSL3) abolished the antihypertrophic effects of Setd7 knockdown in cardiomyocytes, underscoring the pivotal role of lipid peroxidation in Setd7-mediated hypertrophic responses. In summary, Setd7 promotes hypoxia-induced cardiac hypertrophy through the Setd7-E2F1-WWP2-GPx4 signaling pathway, suggesting that targeting Setd7 is a promising therapeutic strategy to alleviate hypoxia-induced myocardial hypertrophy. Show less
no PDF DOI: 10.1038/s41401-025-01626-3
WWP2
Nan Li, Khadijeh Taherdangkoo, Isabelle M Baatsch +22 more · 2026 · Circulation · added 2026-04-24
Hypercholesterolemia and a high-fat diet promote 2 macrophage subtypes involved in atherosclerosis by inducing lipid droplet accumulation in foamy macrophages (FMs) and inflammatory activation in non- Show more
Hypercholesterolemia and a high-fat diet promote 2 macrophage subtypes involved in atherosclerosis by inducing lipid droplet accumulation in foamy macrophages (FMs) and inflammatory activation in non-foamy macrophages (NFMs). MicroRNAs are key regulators of macrophage function; for instance, The role of Unlike FMs, NFMs are primarily located in the plaque core and show higher Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.125.077821
APOE
Xiaoyu Fu, Liming Zhao, Huibin Tian +13 more · 2026 · Genomics · Elsevier · added 2026-04-24
Perirenal fat deposition significantly impacts sheep carcass quality and economic efficiency. To elucidate the underlying genetic regulation, we performed a genome-wide association study (GWAS) on 556 Show more
Perirenal fat deposition significantly impacts sheep carcass quality and economic efficiency. To elucidate the underlying genetic regulation, we performed a genome-wide association study (GWAS) on 556 Hu sheep and a comparative transcriptome analysis on 24 Hu sheep (12 with high- and 12 with low-perirenal fat deposition), all with accurate phenotypic records. Furthermore, hub genes and tissue-specific genes (TSGs) were discerned through weighted gene co-expression network analysis (WGCNA) and by leveraging RNA-Seq data from 12 tissues, respectively. qRT-PCR is used to validate the accuracy of RNA-Seq data. GWAS identified significant SNPs near genes including SETD4, TIMP2, SOCS3, and DNAH17. Comparative transcriptome analysis of HPF and LPF groups identified 2072 differentially expressed genes (DEGs), which were significantly associated with lipid storage (LPL), fatty acid homeostasis (APOE, GOT1), and biosynthesis (ACACA). A total of 2333 differential alternative splicing events were identified in 1169 genes, with skipped exons (SE, 30.65 %) being the most common. GO analysis of these SEs showed links to RNA splicing and lipid metabolism, with genes like BSCL2, DGAT1, PLIN5, and PNPLA2 involved in lipid droplet organization and triglyceride storage. WGCNA revealed key modules that were positively and negatively correlated with perirenal fat deposition, emphasizing hub genes (SAR1B, THRSP, ACSS2, KIF5B) associated with lipid droplet organization and metabolism. The integrated analysis of GWAS and RNA-seq identified TIMP2, SOCS3, and DNAH17 as potential key genes involved in regulating perirenal fat deposition in sheep. An association analysis of 372 Hu sheep populations identified significant links (P < 0.05) between perirenal fat deposition traits and mutations in the TIMP2 (g.9759169 G > A) and DNAH17 (g.9494469C > T) genes. Crucially, tissue-specific gene analysis across 12 tissues identified 448 perirenal fat TSGs, of which 75 were also differentially expressed genes (e.g., LPL, THRSP, LEP, ADRB3). In conclusion, our multi-omics study identified key genes influencing perirenal fat deposition in sheep. Notably, mutations in TIMP2 and DNAH17 could serve as candidate markers for enhancing carcass quality through marker-assisted selection. Show less
no PDF DOI: 10.1016/j.ygeno.2025.111182
APOE
Ziliang Wu, Chen Qiu, Meimei Pan +6 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
Lipoprotein(a) [Lp(a)] has been recognized as a genetically determined and independent contributor to atherosclerotic cardiovascular disease. However, its role in lower extremity arterial disease (LEA Show more
Lipoprotein(a) [Lp(a)] has been recognized as a genetically determined and independent contributor to atherosclerotic cardiovascular disease. However, its role in lower extremity arterial disease (LEAD) among individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) remains insufficiently studied. Given the overlapping metabolic disturbances in both conditions, such as insulin resistance and lipid abnormalities, a potential relationship between Lp(a) and peripheral vascular injury in MASLD is biologically plausible. This study aimed to investigate the cross-sectional association between circulating Lp(a) concentrations and the presence of LEAD in a well-characterized MASLD population. A total of 468 MASLD patients undergoing routine health check-ups were included. Lp(a) levels were stratified into three categories: <10 mg/dL, 10–30 mg/dL, and ≥ 30 mg/dL. LEAD was diagnosed using duplex ultrasonography. Multivariable logistic regression models were used to assess the relationship between Lp(a) levels and the presence of LEAD, with adjustments for demographic variables, metabolic conditions, and lipid-related parameters. Subgroup analyses were conducted to assess potential effect modification. LEAD was diagnosed in 61.5% ( Elevated Lp(a) levels were associated with a higher prevalence of LEAD in patients with MASLD. Although the magnitude of association per unit increase was modest, higher Lp(a) concentrations were associated with greater LEAD prevalence. These findings should be interpreted cautiously and viewed as hypothesis-generating, particularly with respect to subgroup analyses. Prospective studies are needed to clarify causality and clinical relevance. The online version contains supplementary material available at 10.1186/s12872-026-05600-7. Show less
📄 PDF DOI: 10.1186/s12872-026-05600-7
LPA
Xiao-Na Zeng, Zi-wen Liu, Jing Zhou +5 more · 2026 · Life sciences · Elsevier · added 2026-04-24
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associate Show more
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associated fatty liver disease (MAFLD) in adult offspring and explores underlying mechanisms. Pregnant Kunming mice were administered prednisone (0.25 or 1 mg/kg; PPE-L or PPE-H) or vehicle control (5% carboxymethyl cellulose; Ctrl) by daily gavage from gestational days 0-18. Offspring were assessed metabolically, histologically, and via RNA-Seq. Primary hepatocytes were treated with fatty acids with or without the epigenetic inhibitors to evaluate Nr1h3 expression and lipid deposition. Offspring body weight was similar in PPE-L vs Ctrl, but was reduced in PPE-H group followed by delayed growth. After 6-week HFD feeding, PPE-L offspring showed mild metabolic issues, while PPE-H males exhibited significant glucose/lipid disorders and hepatic steatosis compared to controls. RNA-Seq showed upregulation of hepatic lipid pathways in the PPE-H male offspring when challenged by HFD. The liver X receptor alpha (LXRα)-sterol regulatory element-binding protein 1 (SREBP1) signaling pathway and the expression of genes involved in de novo fatty acid synthesis were increased in PPE-H offspring under HFD. A485 significantly downregulated the expression of Nr1h3 in primary hepatocytes from male PPE-H offspring and alleviated lipid deposition in these hepatocytes treated with fatty acids. The H3K27ac level in the Nr1h3 promoter in the PPE-H offspring's liver was significantly upregulated. PPE-L impairs offspring glucose/lipid homeostasis, whereas PPE-H increase MAFLD risk of the offspring by epigenetic programming of the hepatic LXRα-SREBP1 pathway, especially in the males. Show less
no PDF DOI: 10.1016/j.lfs.2026.124390
NR1H3
Yaqun Fang, Zhiye Zhang, Qiqi Cao +20 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context Show more
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context, we investigated whether the circulating LL-37-ApoB-100 complex could serve as a biomarker for CAD. We performed surface plasmon resonance and protein-protein docking to demonstrate the direct LL-37-ApoB-100 interaction. We developed a specific polyclonal antibody against the complex and measured its levels in human atherosclerotic plaques and plasma, as well as in We identified that LL-37 directly interacted with multiple distinct binding sites on ApoB-100. Plasma levels of LL-37-ApoB-100 complex were significantly elevated in human patients with atherosclerosis. Consistently, levels of this complex were positively correlated with atherosclerotic plaque area in Circulating LL-37-ApoB-100 levels are strongly associated with angiographically documented CAD, highlighting LL-37-ApoB-100 as an independent predictor for CAD. Show less
no PDF DOI: 10.1161/ATVBAHA.125.323486
APOB
Aladdin H Shadyab, Bowei Zhang, Andrea Z LaCroix +13 more · 2026 · JAMA network open · added 2026-04-24
There is limited research on the long-term associations of plasma phosphorylated tau 217 (p-tau217) with mild cognitive impairment (MCI) and dementia. No study has evaluated whether such associations Show more
There is limited research on the long-term associations of plasma phosphorylated tau 217 (p-tau217) with mild cognitive impairment (MCI) and dementia. No study has evaluated whether such associations vary by race or hormone therapy (HT) use. To examine associations of baseline plasma p-tau217 with incident MCI and dementia and determine whether associations vary by age, race, APOE ε4 carrier status, or HT use. This cohort study examined women recruited from 39 US clinical sites between 1996 and 1999 into the Women's Health Initiative Memory Study who were randomized to either estrogen alone vs placebo or estrogen plus progestin vs placebo. Women were assessed for up to 25 years through 2021. Baseline plasma p-tau217 was measured in 2024 and analyzed between February and August 2025. Women aged 65 to 79 years who were cognitively unimpaired at baseline were included for this analysis. Plasma p-tau217, quantified using the ALZpath Simoa assay. The primary outcome was the combined end point of incident MCI or probable dementia. Secondary outcomes included MCI and dementia examined separately. Cause-specific hazard ratios (HRs) and 95% CIs for the association of p-tau217 with MCI or dementia were estimated using Cox proportional hazards regression models. Among 2766 participants (mean [SD] age, 69.9 [3.8] years; 486 [17.9%] Black, 196 [7.1%] Hispanic, and 2007 [73.9%] White), 1311 developed the combined end point of MCI or dementia (849 participants with MCI and 752 participants with dementia). Every 1-SD increase in log2-transformed p-tau217 was associated with incident MCI or dementia (HR, 2.43; 95% CI, 2.18-2.71) and each individual outcome (MCI: HR, 1.94; 95% CI, 1.72-2.20; dementia: HR, 3.17; 95% CI, 2.79-3.61). Associations of p-tau217 with dementia were larger in magnitude for women randomized to estrogen plus progestin (HR, 4.18; 95% CI, 3.41-5.13) vs placebo (HR, 3.07; 95% CI, 2.41-3.91) (P for interaction = .04) but did not significantly vary by estrogen alone vs placebo. P-tau217 associations with MCI or dementia were larger in magnitude for women older than 70 years (P for interaction = .04), APOE ε4 carriers (P for interaction = .02), and White women compared with Black women (P for interaction < .001). However, the combination of p-tau217 and age performed similarly in White women (area under the curve = 72.0%; 95% CI, 70.3%-73.6%) and Black women (area under the curve = 70.4%; 95% CI, 64.0%-78.0%). P-tau217 was not associated with incident MCI in Black women. In this cohort study of cognitively unimpaired older women, p-tau217 was associated with incident MCI or dementia up to 25 years later. These findings suggest that age, race, APOE ε4, and HT use should be considered when examining associations of p-tau217 with cognitive outcomes. Show less
📄 PDF DOI: 10.1001/jamanetworkopen.2026.1295
APOE
Mei Zhao, Chao Zhang, Xin Zhang +3 more · 2026 · Nature communications · Nature · added 2026-04-24
Multiple sclerosis (MS) is a neurodegenerative autoimmune disease primarily mediated by T helper 17 (T
no PDF DOI: 10.1038/s41467-025-67665-w
WWP2
Wenjie Li, Chen Li, Xing Li +1 more · 2026 · The aging male : the official journal of the International Society for the Study of the Aging Male · Taylor & Francis · added 2026-04-24
Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. We screened genetic instruments rela Show more
Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While the gut microbiota is linked to PCa, its genetic association remains unclear. We screened genetic instruments related to the gut microbiota and paired them with PCa genome-wide association study data to conduct Mendelian randomization (MR) analysis. Positive MR findings were then subjected to colocalization analysis. Subsequently, we utilized the Gene Expression Omnibus (GEO) dataset to perform differential expression analysis, aiming to identify differentially expressed associated genes (DEAGs). We determined the importance scores of these DEAGs through four machine learning models and constructed a nomogram based on these findings, and then validated it in another group of the GEO dataset. MR analysis found 16 gut bacteria causally linked to PCa (7 risk, 9 protective), with 144 related genes. PLCL1, VSNL1, ROR2, NRXN3, and TEAD1 were identified as feature genes for constructing a nomogram that provides a quantitative prediction of the risk of PCa onset. This study indicates that there are causal links between the gut microbiota and PCa. Feature genes may affect the occurrence of PCa by inhibiting the epithelial-mesenchymal transition, proliferation, migration, and invasion of cells. Show less
no PDF DOI: 10.1080/13685538.2026.2615561
NRXN3
Ying-Yan Chang, Xu-Hui Zheng, Meng-Wei Wang +9 more · 2026 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Microglia monitor disease stimulation, neuronal apoptosis, and neural repair, and their overactivation-induced inflammation plays a key role in the pathogenesis of Alzheimer's disease (AD). Morronisid Show more
Microglia monitor disease stimulation, neuronal apoptosis, and neural repair, and their overactivation-induced inflammation plays a key role in the pathogenesis of Alzheimer's disease (AD). Morroniside (Mor), an iridoid glycoside compound in Cornus officinalis, is one of the effective active components. The effects of Mor on antioxidant stress, antiapoptosis, and nerve repair function have been widely studied, but the mechanism of Mor in AD treatment remains unclear. To study the neuroprotective effects of Mor and elucidate the molecular mechanisms underlying its improvement of AD symptoms, we used ApoE4 transgenic mice and ApoE4-transfected BV2 cells as models of AD, focusing on microglia phenotype, function, and neuroinflammation. The 10-month-old mice were randomly divided into the ApoE3 control group (ApoE3 + Veh), the ApoE4 model group (ApoE4 + Veh), and the ApoE4 + Mor 10, 20, and 40 mg/kg groups as in vivo models. The in vitro BV2-ApoE model was constructed via lentiviral transfection. The effects of Mor on cognitive function of AD models were assessed through behavioral tests, western blot, immunofluorescence staining, and ELISA to measure changes of related pathological and inflammatory factors. Mor improved the cognitive function of ApoE4 transgenic mice by reducing Aβ plaques in the brain, improving the structural lesions of hippocampal neurons, and increasing synaptic plasticity in the brain of AD mice. In addition, Mor promoted the transformation of microglia from the M1 to the M2 phenotype, inhibited the activation of the CX3CR1/PU.1 signaling axis, and alleviated the dysfunction of microglia both in vitro and in vivo. CX3CR1 siRNA and PU.1 siRNA were used further to verify the regulatory effect of Mor on microglia phenotype. Our findings indicate that Mor can inhibit neuroinflammation, reduce Aβ accumulation, and improve synaptic damage in ApoE4 mice via the CX3CL1/CX3CR1/PU.1 pathway regulating the phenotype and function of microglia. This study provides a new therapeutic candidate for the prevention and treatment of AD. Show less
no PDF DOI: 10.1002/ptr.70177
APOE
Jia-Qi Lin, Xia-Fei Chen, Jia-Hao Zhu +4 more · 2026 · Experimental eye research · Elsevier · added 2026-04-24
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key Show more
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key genes involved in KC development and in anoikis and endoplasmic reticulum (ER) stress. KC and control datasets from the GEO database were analyzed to identify differentially expressed genes (DEGs). These were cross-referenced with anoikis and ER stress-related genes from Genecards. Functional enrichment, immune infiltration analysis, and machine learning techniques (LASSO, Random Forest) were used to identify candidate molecular signatures, which were then validated in an animal model. We identified 46 DEGs associated with anoikis and 41 DEGs related to ER stress. Functional analysis linked them to apoptosis and IL-17 signaling. Five key molecular signatures were identified: CDKN1A, MCL1, PTGS2, PTHLH, and ANGPTL4. The expression of ANGPTL4, CDKN1A, and MCL1 was consistent in the animal model. These genes are associated with inflammatory and oxidative stress responses. Twelve potential therapeutic drugs were predicted. This study identifies five candidate molecular signatures for KC related to anoikis and ER stress, offering insights into KC pathogenesis and potential targeted therapies. Show less
no PDF DOI: 10.1016/j.exer.2026.110910
ANGPTL4
Jiaomei Li, Kaixin Pan, Yuxuan Zhang +8 more · 2026 · Scientific reports · Nature · added 2026-04-24
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial Show more
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials. The online version contains supplementary material available at 10.1038/s41598-026-40028-1. Show less
📄 PDF DOI: 10.1038/s41598-026-40028-1
APOB
Wei Li, Lebin Liu, Weiwei Liu +1 more · 2026 · Frontiers in neurology · Frontiers · added 2026-04-24
[This corrects the article DOI: 10.3389/fneur.2026.1744242.].
📄 PDF DOI: 10.3389/fneur.2026.1819914
BDNF acupuncture brain cognitive impairment network neurobiological neurotransmission
Li Li, Xiaoyan Chen, Jingke Li +4 more · 2026 · Blood advances · added 2026-04-24
Platelets must balance hemostatic function with pathological thrombosis, particularly under metabolic stress conditions. MAPKs are central to platelet responses, but how these platelet signals differe Show more
Platelets must balance hemostatic function with pathological thrombosis, particularly under metabolic stress conditions. MAPKs are central to platelet responses, but how these platelet signals differentially regulate hemostasis remains poorly understood. To investigate the role of Traf2/Nck-interacting kinase (TNIK), we generated megakaryocyte/platelet-specific TNIK knockout mice (Tnikf/fPF4-Cre+) and evaluated platelet function, hemostasis, and thrombosis under normal and hyperlipidemic conditions using chimeric Tnikf/fPF4-Cre+Apoe-/-mice fed high-fat diets. TNIK-deficient mice exhibited prolonged bleeding times, delayed arterial thrombosis and reduced platelet activation under normal conditions, primarily due to impaired dense granule secretion. Mechanistically, TNIK interacted with c-Jun N-terminal kinase interacting protein 1 to promote mixed lineage kinase 3/mitogen-activated protein kinase kinase 4/c-Jun N-terminal kinase pathway activation during hemostatic responses. Surprisingly, under hyperlipidemic conditions, TNIK deficiency accelerated thrombosis and enhanced platelet responses to oxidized low-density lipoprotein. In this context, TNIK specifically bound to protein kinase C ε and suppressed the NADPH oxidase 2/reactive oxygen species/extracellular signal-regulated kinase 5 pathway, thereby inhibiting excessive platelet activation. We conclude that TNIK functions as a molecular switch in platelets, promoting normal hemostasis while simultaneously preventing hyperlipidemia-associated thrombosis through distinct signaling pathways. This dual regulatory mechanism provides insight into how platelets balance hemostatic function with pathological thrombosis risk and identifies TNIK as a potential therapeutic target in metabolic thrombotic disorders. Show less
📄 PDF DOI: 10.1182/bloodadvances.2025017737
APOE
Feng Su, Shengnan Lu, Junli Zhang +7 more · 2026 · AAPS PharmSciTech · added 2026-04-24
The poor efficacy of chemotherapy for glioma is mainly due to the difficulty of drug penetration through the blood-brain barrier (BBB), as well as the difficulty of drug concentration in the tumor tis Show more
The poor efficacy of chemotherapy for glioma is mainly due to the difficulty of drug penetration through the blood-brain barrier (BBB), as well as the difficulty of drug concentration in the tumor tissue to reach the effective therapeutic level. The emerging tumor-targeted delivery technology can facilitate the precise enrichment of drugs in the tumor site. Apolipoprotein E (ApoE(159-167) Show less
📄 PDF DOI: 10.1208/s12249-025-03323-0
APOE