👤 Xiao-Guang 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, Ziming Li, Hang Li, Rongqing Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Jiajie Li, Zhao-Yang Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, Peilin Li, X Y Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Guanglve Li, Ye 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, Siming Li, Wenzhe Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Xueyang Li, Fa-Hui Li, Xuelin Li, Caiyu Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Chen-Xi Li, Mingxu Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, W H Li, Sha Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin Li, Linke Li, C Y Li, Shuaicheng Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Yongli Li, Z-H Li, Hujie Li, Baohong 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, 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, Shuguang Li, Xiuzhen Li, Chuan-Hai Li, Lingxi Li, Jiezhen Li, Qiuya 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, Xiao Li, Junping Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Jun-Jie Li, Ruonan Li, Cui-lan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Ya-Jun Li, Xue Cheng Li, Wenyong Li, Ding-Biao Li, Desen Li, Tianjun Li, Yansong Li, Xiying Li, Weiyong Li, Zihao Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, L K Li, Wan Jie Li, Ya-Ting Li, Dongbiao Li, Aimin Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Xiuqi Li, L-Y Li, Peiyun Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Demin Li, Haipeng Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yu Li, Yvonne Li, Minhui Li, Yiwei Li, Jiayuan Li, Zhichao Li, Xiangzhe Li, Siguang Li, Minglun Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chiyang Li, Chunlan Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Hailong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Si Li, Xiangyun Li, Jing Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Dengke Li, Zijing Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, Hongyun Li, Dong Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Gang Li, Mengxuan Li, Panyuan Li, Ziyu Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, 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, John Zhong Li, Xinyu Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Fengxia Li, Guangxiao Li, Xueqin Li, Peixin 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, Chaochen Li, Chunxia Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Yali Li, Zhaoshui Li, Wenjing Li, Yu-Hui Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Zengyang Li, Kaiyuan Li, Mangmang Li, Chunyan Li, Runzhen Li, Xiaopeng Li, Xi-Hai Li, MengGe Li, Xuezhong Li, Anan Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Ning Li, Wan-Xin Li, Ruobing Li, Yanxi Li, Xia Li, Yongjing Li, Meitao Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Jiqing Li, Huixue Li, Hehua Li, Yucheng Li, Yongqi Li, Qingyuan Li, Fengqi Li, Yuqing Li, Zhigang 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, Conglin Li, Jutang Li, Mengxia 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, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Huiying Li, Jiang Li, Shengxian Li, Qingyang Li, Yuxi Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Zhenlu Li, Xiaolei Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Zhenming Li, Xuelian Li, Shu-Fen Li, Chunjun Li, Changyan Li, Mulin Jun Li, Yinghua Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Chaoying Li, Siyu Li, Qiu Li, Juanjuan Li, Xiangyan Li, Guangzhen Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Jifang Li, Zhenjia Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Huiliang Li, Chunqiong Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Weining Li, Wenxi Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yumao Li, Yuqiu Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Xiang-Jun Li, Hongyi Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Junxian Li, Keqing Li, Zhihua Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Deheng Li, Si-Xing Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, 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, Guisen Li, Yuandong Li, Dongyang Li, Jinglin Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Hanbo Li, Jianing 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, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Wenhui Li, Sichen 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, Yixiao Li, Jinlan 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, Yanfeng Li, Yaqin Li, Yu-He Li, Shasha Li, Xi Li, S-C Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Ziyang Li, Sitao Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Anqi Li, Bingsong Li, Shuai Li, Zhenyu Li, Xiaoju 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, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Chunya Li, Zong-Xue Li, En-Min Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Min-jun Li, Jinhua Li, Yuanheng Li, Qian-Qian Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Junxin Li, Yu-Sheng Li, Wei-Jun Li, Guoyan Li, Fei-Lin Li, Junjie 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, Xiyun Li, Yi-Wen Li, Ya-Pei Li, Huifeng Li, Rulin Li, Shihong Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Min-Dian Li, Wenjia Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Xiao-Qiang Li, Yangxue Li, Chengnan Li, Chuanyin Li, Min Li, Zhenzhou Li, Yiqiang Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Yutong Li, Zesong 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, Jiafei Li, Changhui Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Shu-Fang Li, Huang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, Nan Li, Gongda Li, Wei-Ping Li, Yajun Li, Yipeng Li, Mingxing Li, Nanjun Li, Xin-Yu Li, Chunyu Li, P H Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Ranran Li, Suping Li, Long Shan Li, Yanze Li, Jason Li, Xiao-Feng Li, Monica M Li, Fengjuan Li, W Li, Xianlun Li, Qi Li, Hainan Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Fei Li, Xionghui Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, 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, Guohua Li, Wen-Ting Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Weiguo Li, Xue-Nan Li, Yijie 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, Weiyang Li, Feng Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Shaodan Li, Meng-Hua Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Yueguo Li, Mo Li, Donghe Li, Zheng Li, Ming-Hao Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Menghua Li, Jingqi Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Xiao-Kang Li, Chong Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zizhuo Li, Zhuorong Li, X-H Li, Lan-Juan Li, Dong Sheng Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Zhifei Li, Jinhui Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Jinku Li, Guiying Li, Longyu 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, Tongyao Li, Peiyu Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Chang-Yan Li, Qifang Li, Xiaohua Li, Vivian Li, Duanxiang Li, Xiaolin Li, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Youwei Li, Mingjiang Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Zongyu Li, Xinmin Li, Luquan Li, Jianyong Li, Guoxing Li, Shujie Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Xiao-Tong Li, Lingjie Li, Tie Li, Yiwen Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, 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, Qinqin Li, Qinghua 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, Shufen Li, Gui-Rong Li, Yunfeng Li, Yunpeng Li, Yueqi Li, Qiong 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, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Mingzhou Li, Taixu Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Huimin Li, Cun 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, Xiong Bing Li, Hanqin 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, 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, Jieshou Li, Lin Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Ben-Shang Li, Mengqing Li, S L Li, Ming-Kai Li, Shunqing Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yantao Li, Yanwei 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, M Li, Dong-Ling Li, Chenwen Li, Jiehan Li, Hongguo Li, Yong-Jian Li, Le Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Wenlong Li, Ya-Feng Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shengli Li, Shugang Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Ru Li, Yongxin Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Qinglin Li, Bingbing Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Guojun Li, Xuefei Li, Hung Li, Senlin 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, 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, 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, Li-Min Li, Yunsheng Li, Xiao-Jing Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Daoyuan Li, Baichuan Li, Haibo Li, Wenqi Li, Zhenzhe Li, Xiao-Jun Li, Jian-Mei Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Yike Li, Wanni Li, Yihan Li, Chitao Li, Haiyang Li, Xiaobai Li, Junsheng Li, Jiayu Li, Pingping Li, Mingquan Li, Wen-Ya Li, Suran Li, Yunlun Li, Rongxia Li, Yuanfang Li, Yingqin 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, 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, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Dazhi Li, Yubin Li, Beixu Li, Yuhong Li, Fengqiao Li, Guiyuan Li, Di Li, Suk-Yee Li, Yanbing Li, Shengjie Li, Yuanyuan Li, Jufang Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Minghua Li, Xiyue Li, Jun Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Hongjuan Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Wen-Chao Li, Dan-Ni Li, Sunan Li, Zhencong Li, Chunqing Li, Lai K Li, Jiong Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, 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, Congcong Li, Ji-Lin Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Wen Li, Jinfeng Li, Shiheng Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Jiangan Li, Zhaojin Li, Bingxin Li, Mengjiao Li, Wenjuan Li, Chia-Yang Li, Meng-Meng Li, Wenyu Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Wenlei Li, Xi-Xi Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Haiyan Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Jiazhou Li, Sherly X Li, Zechuan Li, Zhijun Li, Ya-Ge Li, Wanling Li, Yinyan Li, Rujia Li, Guangli Li, Qijun Li, Zhiwei Li, Lixia Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Shunwang Li, Nana Li, Chao Li, Yaqing Li, Bingsheng Li, Yaqiao Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Haoran Li, Hai-Yun Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Zhixiong Li, Chumei Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Jialun Li, Xinjian Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Xuyi Li, Binghua Li, Hanjun Li, Yunchu Li, Zhengyao Li, Jin-Qiu Li, Qihua Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, Yongjin Li, Shuangxiu Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Jiuyi Li, Chun-Xu Li, Luyao Li, Desheng Li, Weike Li, Zhixuan Li, Chuanbao Li, Long-Yan Li, Fuyu Li, Chuzhong Li, M D Li, Lingzhi Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Hengtong Li, Ling-Zhi Li, Yifan Li, Ya-Li Li, Xiao-Sa Li, Songyun Li, Xiaoran Li, Bolun Li, Kunlin Li, Linchuan Li, Jiachen Li, Haibin Li, Shu-Qi Li, Zehua Li, Huangbao Li, Guo-Chun Li, Xinli Li, S Li, Mengyuan Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Dehai Li, Wensheng Li, Qingshang Li, Jiannan Li, Guanbin Li, Zhiyi Li, Hanbin Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, 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, Yilong Li, Lihua Li, Xue-Lian Li, Zhiping Li, Yan-Li Li, Haiming Li, Yansen Li, Gaijie Li, Zhi-Yuan Li, Hai Li, Yuemei Li, Yanli Li, Jingfeng Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Mengjuan Li, Xiao-Hong Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Zhonglian Li, Baosheng Li, Yujun Li, Mian Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Congjiao Li, Peining Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Nianyu Li, Chenlu Li, Keshen Li, Kechun Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Tianye Li, Qun Li, Cuiguang Li, Zhen Li, F Li, Yuan 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, Bing-Hui Li, Tiewei Li, Rong-Bing Li, Daniel Tian Li, Jingyong Li, Honggang Li, Rong Li, Wei-Yang Li, Shikang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Zixiao Li, Ming Xing Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Bei-Bei Li, Hong-Lian Li, Haitong Li, Xiumei Li, Ruibing Li, Yuli Li, Melody M H Li, Qingfang Li, Peibo Li, Qibing Li, Huanjun Li, Heng Li, Wende Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Xiao-Na Li, Tianyou Li, Jipeng Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Longxuan Li, Huiyou Li, Ka Wan Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing Li, Shilin Li, Shunle Li, Niu Li, Siyue Li, Diyan Li, Shili Li, Mengyao Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Meiqing Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Youchen Li, Junhong Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Runbing Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Ji-Cheng Li, Jingyi Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Huijuan Li, Haiyu Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Kainan Li, Guohui Li, Yongzhe Li, Qingfeng Li, Xiaoyan Li, Tianyi Li, Nanlong Li, Ping Li, Xu-Bo Li, 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, Qing-Chang Li, Hongliang 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, Chunjie Li, Yixi Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Dongtao Li, Wenqun Li, Fengyuan Li, Guixia Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Xixi Li, Bingjue Li, Yan-Chun Li, Binghu Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Zhenguang Li, Xiaotian Li, Jia-Ru Li, Shuhui Li, Chun-Xiao Li, Pei-Qin Li, Shu-Hong Li, Shuyue Li, Mengying Li, Tongzheng Li, Quan-Zhong Li, Fangyan Li, Yihong Li, Duo Li, Dali Li, Yaxian Li, Zhiming Li, Xuemei Li, Yongting Li, Hongxia 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, Jingtong Li, Xiaoping Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaoting Li, Xiaobo Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Weirong Li, Kun-Ping Li, Xiao-Yao Li, Weihua Li, Shangming Li, Yaqi Li, Yibo Li, Gui-Hua Li, Zhihong Li, Runzhao Li, Yandong Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Yanxin Li, Yingjun Li, Xiufeng Li, Xiaohuan Li, Boya Li, Ying-Qin 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, Rui-Jún Eveline Li, Xuanxuan Li, Bing-Mei Li, Chaoqian Li, Yunman 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, Weijie Li, Sheng Li, Wei-Qin Li, Yaqiang Li, Guoyin Li, Zongyi Li, Qingxian Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke 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
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
Yuyu Zhang, Yiju Li, Qianxu Wang +4 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Aging worsens Alzheimer's disease (AD) peripheral metabolism and central pathology, yet few interventions are effective when started late. Methionine restriction (MR) induces the hepatokine FGF21 and Show more
Aging worsens Alzheimer's disease (AD) peripheral metabolism and central pathology, yet few interventions are effective when started late. Methionine restriction (MR) induces the hepatokine FGF21 and may protect brain function, but its efficacy and mechanisms when started late are unclear. Fourteen-month-old male APP/PS1 mice received 17 weeks of MR (0.17% methionine); behavioral, histological, and molecular assays were performed and hippocampal FGFR1 was knocked down by adeno-associated virus. Late-life MR improved peripheral glucose/lipid profiles, reduced Aβ deposition, preserved synaptic markers, and suppressed neuroinflammation. MR-induced hepatic FGF21 and brain FGFR1-AMPKα signaling to inhibit NFκB; hippocampal FGFR1 knockdown abolished MR's neuroprotective effects while leaving peripheral metabolic changes intact. Even when initiated in late life, MR robustly reduces AD pathology via the hepatic FGF21-brain FGFR1 axis, independent of peripheral metabolic changes. These preclinical findings position MR and FGF21-FGFR1 axis as actionable late-life intervention targets with potential for clinical translation. Show less
📄 PDF DOI: 10.1002/alz.71287
FGFR1
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
Lin Wang, Zilu Cai, Fusheng Li +5 more · 2026 · Frontiers in microbiology · Frontiers · added 2026-04-24
This study investigated the synergistic effects of combining ferulic acid esterase (FAE)-producing lactobacillus with homofermentative and heterofermentative lactic acid bacteria (LAB) on the fermenta Show more
This study investigated the synergistic effects of combining ferulic acid esterase (FAE)-producing lactobacillus with homofermentative and heterofermentative lactic acid bacteria (LAB) on the fermentation quality, nutrient composition, and aerobic stability of corn stover silage. In this study, five LAB strains were isolated and identified from various silages. Among them, strain AR1 was identified as The results showed that the co-fermentation of homofermentative and heterofermentative strains improved silage fermentation quality. The addition of AR1 to the combination of homofermentative and heterofermentative LAB further enhanced lactic acid and acetic acid production, decreased neutral and acid detergent fiber contents, and improved aerobic stability. Principal component analysis and membership function analysis identified the LPLR group (an equal mixture of AR1, R10, JF2, and R3 at 1 × 10 Show less
📄 PDF DOI: 10.3389/fmicb.2026.1755745
LPL
Shu-Fang Li, Xiao-Xia Zhu, Yu-Sheng Hu +3 more · 2026 · Biotechnology and bioengineering · Wiley · added 2026-04-24
l-Pipecolic acid (l-PA) and its hydroxylated derivatives (hydroxypipecolic acids, HPAs) are non-proteinogenic amino acids that serve as valuable chiral building blocks for pharmaceuticals, antibiotics Show more
l-Pipecolic acid (l-PA) and its hydroxylated derivatives (hydroxypipecolic acids, HPAs) are non-proteinogenic amino acids that serve as valuable chiral building blocks for pharmaceuticals, antibiotics, and natural products. Conventional chemical synthesis of these compounds often suffers from operational complexity, poor environmental compatibility, and insufficient stereochemical control, driving a shift toward biosynthetic approaches. This review covers recent advances in enzyme engineering and synthetic biology aimed at enabling sustainable and efficient production of l-PA and HPAs. For l-PA biosynthesis, various metabolic engineering strategies to enhance its production in microbes are introduced, and enzyme cascades, single enzyme strategy, and immobilized enzyme strategy involved in l-PA production are discussed. Regarding HPAs biosynthesis, which involves the regioselective hydroxylation of l-PA, their structural features, catalytic mechanisms, and recent progress in the biosynthesis of diverse HPAs, the protein engineering of proline hydroxylase is emphasized. Finally, we present future perspectives to accelerate the biosynthetic production of l-PA and HPAs. Show less
no PDF DOI: 10.1002/bit.70156
LPA
Peng Ma, Fangzhou Yao, Peichen Yue +2 more · 2026 · Scientific reports · Nature · added 2026-04-24
Colorectal cancer (CRC) remains a major global health challenge, underscoring the need for reliable biomarkers to improve prognosis and therapeutic stratification. In this study, we comprehensively in Show more
Colorectal cancer (CRC) remains a major global health challenge, underscoring the need for reliable biomarkers to improve prognosis and therapeutic stratification. In this study, we comprehensively investigated the expression pattern, clinical significance, molecular functions, and immunological implications of LINGO1 in CRC. Integrative analyses of TCGA and GEO datasets, together with validation in 72 clinical CRC samples, demonstrated that LINGO1 is markedly overexpressed in tumors and strongly associated with advanced clinicopathological features and poor patient outcomes. Functional experiments revealed that both knockdown of LINGO1 in SW480 and LoVo cells and overexpression of LINGO1 in HCT116 cells significantly modulate malignant phenotypes, including proliferation, migration, invasion, and angiogenic capacity. Transcriptome-wide and pathway enrichment analyses further indicated that high LINGO1 expression is linked to epithelial-mesenchymal transition, angiogenesis, Wnt/β-catenin signaling, and other oncogenic pathways. Immunogenomic profiling, supported by multiplex immunofluorescence staining, showed that elevated LINGO1 is associated with an immunosuppressive tumor microenvironment characterized by reduced CD8⁺ T-cell infiltration and diminished GZMB expression, alongside upregulation of multiple immune checkpoint molecules. Collectively, our findings identify LINGO1 as a novel oncogenic driver and immune-modulatory biomarker in colorectal cancer, with potential value for prognosis and therapeutic targeting. Show less
📄 PDF DOI: 10.1038/s41598-026-38760-9
LINGO1
Yongling Jin, Rong Zhang, Xin Li +7 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. Howev Show more
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. However, adaptive changes in respiratory metabolism and molecular mechanisms in lung tissues of small mammals under extreme water shortage conditions remain unclear. This study hypothesized that small desert mammals can adapt to extreme water shortage environments by regulating the plasticity of lung tissue gene expression and respiratory metabolism. Using 29 wild-caught Siberian jerboas ( Show less
📄 PDF DOI: 10.3390/ijms27031458
APOA4
Guiguo Yan, Weihai Li, Baihai Guo +5 more · 2026 · Medicine · added 2026-04-24
Arterial thrombectomy (AT) is a cornerstone in the treatment of acute ischemic stroke (AIS) due to large vessel occlusion. However, the optimal therapeutic time window and the best management strategy Show more
Arterial thrombectomy (AT) is a cornerstone in the treatment of acute ischemic stroke (AIS) due to large vessel occlusion. However, the optimal therapeutic time window and the best management strategy for patients presenting beyond the conventional 4.5-hour timeframe remain areas of active investigation and debate. This retrospective cohort study aimed to analyze the effect of timing of AT on recovery in AIS. We retrospectively analyzed 117 AIS patients admitted between January 2021 and January 2023. Participants were categorized into 3 groups: early AT (onset-to-AT < 4.5 hours), late AT (onset-to-AT ≥ 4.5 hours), and late AT + intravenous thrombolysis (IT). Outcomes compared included clinical efficacy, National Institutes of Health Stroke Scale (NIHSS) scores, serum levels of neurotrophic factors, brain-derived neurotrophic factor, vascular endothelial growth factor, residual stenosis, vessel reocclusion, 3-month mortality, and 1-month complications. The total effective rate was higher in the early AT and late AT + IT groups than in the late AT group. Pretreatment NIHSS scores and serum neurological marker levels were comparable across all groups. After treatment, the early AT and late AT + IT groups showed significantly lower NIHSS scores, higher serum levels of neurological markers, and improved treatment efficiency compared to the late AT group. Prognosis-related markers also indicated better outcomes in these 2 groups. Additionally, complications such as mucocutaneous ecchymosis, gastrointestinal bleeding, and intracranial bleeding were significantly reduced in the early AT and late AT + IT groups. AT within 4.5 hours of stroke onset improves efficacy, reduces neurological injury, and decreases complications. For patients presenting beyond 4.5 hours, combining AT with IT achieves comparable therapeutic benefits. Show less
📄 PDF DOI: 10.1097/MD.0000000000047634
BDNF
Dao-Xin Wang, Pin Wang, Zhu-Wei Miao +8 more · 2026 · Pharmacological research · Elsevier · added 2026-04-24
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative i Show more
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative importance of endothelial METRNL in atherosclerosis by comparing the effects of whole-body METRNL deficiency to endothelial-specific deficiency, and to show the subcellular distribution of endothelial METRNL and its role in mitochondrial homeostasis against atherosclerosis. Our study demonstrated that a deficiency in either endothelial or global METRNL exacerbated atherosclerosis to a similar degree in both spontaneous (age-related) and high fat diet-induced atherosclerosis, suggesting that endothelial METRNL is pivotal in the progression of atherosclerosis due to METRNL deficiency. Endothelial METRNL was diffusely distributed in the cytoplasm with subcellular localization to mitochondria, nucleus, endoplasmic reticulum, and Golgi apparatus (especially enriched in mitochondria and nucleus). In both an in vivo apolipoprotein E-deficient (ApoE Show less
no PDF DOI: 10.1016/j.phrs.2026.108123
APOE
Ning Liu, Shuang Zhao, Yuhan Ao +5 more · 2026 · European journal of pharmacology · Elsevier · added 2026-04-24
Atherosclerosis (AS) is a major underlying cause of cardiovascular diseases, with hypercholesterolemia, inflammatory responses, and macrophage polarization being established key contributors. The role Show more
Atherosclerosis (AS) is a major underlying cause of cardiovascular diseases, with hypercholesterolemia, inflammatory responses, and macrophage polarization being established key contributors. The roles of NLRP3 inflammasome activation and macrophage polarization in AS pathogenesis have garnered significant research interest. This study investigated the therapeutic potential of Schisandrol B (Sol B) against AS using an in vivo model of ApoE Show less
no PDF DOI: 10.1016/j.ejphar.2026.178552
APOE
Chong Liu, Nieran Lian, Kristin K Sznajder +3 more · 2026 · Journal of nursing management · added 2026-04-24
Nurses in traditional Chinese medicine (TCM) departments face significant sleep challenges associated with occupational stressors. However, person-centered analyses classifying these sleep patterns re Show more
Nurses in traditional Chinese medicine (TCM) departments face significant sleep challenges associated with occupational stressors. However, person-centered analyses classifying these sleep patterns remain scarce. This study aimed to identify heterogeneous sleep disturbance subgroups via latent profile analysis (LPA) and evaluate the performance of explainable machine learning models in discriminating these subgroups based on demographic and occupational features. A cross-sectional survey enrolled 7721 nurses from 130 TCM healthcare institutions in Liaoning Province (December 2024). Data encompassed demographic, occupational, and psychological variables obtained via self-administered questionnaires, including the Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance short form 8a. LPA was employed to categorize sleep disturbance patterns. Recursive feature elimination with random forest (RFE-RF) was used to select features associated with subgroup membership for five machine learning models. Models were trained on 70% of the data and evaluated on a 30% independent test set. The optimal classification model (XGBoost) underwent interpretability analysis using Shapley additive explanations (SHAP). LPA identified three subgroups: mild-stable (29.8%), moderate-fluctuating (60%), and severe-persistent (10.2%). Machine learning models achieved test AUCs of 0.71-0.84, with XGBoost demonstrating the highest discriminatory performance (AUC = 0.84, 95%CI: 0.83-0.85) in classifying subgroups. SHAP analysis indicated that monthly income, organizational support, hospital level, self-compassion, and resilience were the top five features contributing to the model's classification output. This study characterized three distinct sleep disturbance subgroups among TCM nurses, with the majority exhibiting moderate symptoms. The sequential application of LPA and explainable machine learning demonstrated robust performance in distinguishing sleep disturbance patterns. Identifying correlates-such as lower income and resilience-may assist nurse managers in stratifying risk and tailoring interventions for those most likely to fall into the severe subgroup. Future longitudinal studies are required to validate the stability of these subgroups and establish causal relationships. Show less
📄 PDF DOI: 10.1155/jonm/1269507
LPA
Fanfan Meng, Tingting Zhao, Xi Yang +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a multifactorial disorder. The sortilin-related receptor 1 (
no PDF DOI: 10.1177/13872877261441644
APOE
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
Jiaqi Fan, Guimei Lin, Hongye Li +3 more · 2026 · Biomedical chromatography : BMC · Wiley · added 2026-04-24
The challenge of combating brain aging is significant due to its intricate pathogenesis. Polygalae radix (PT), a well-known herbal remedy derived from the dried root of Polygala tenuifolia Willd., ser Show more
The challenge of combating brain aging is significant due to its intricate pathogenesis. Polygalae radix (PT), a well-known herbal remedy derived from the dried root of Polygala tenuifolia Willd., serves as a traditional Chinese medicine and is also utilized in health foods. The primary processed products of PT are PT processed with licorice (PT + L) and PT processed with honey (PT + ER). Both PT and its processed products exhibit anti-brain aging properties, but their mechanisms remain unclear. This study investigated the brain-penetrating components and mechanisms of PT, PT + L, and PT + ER using UPLC-Q-TOF-MS, network pharmacology, molecular docking, and in vivo assays. Thirteen brain-penetrating components were identified, including tenuifolin, 3,4,5-trimethoxycinnamic acid, chlorogenic acid, liquiritigenin, and caffeic acid. Core targets (BDNF, Mfn1, Mfn2, Drp1, and Fis1) interacted with these components. In vivo, PT and its processed products improved memory, reduced hippocampal damage, regulated the HPA axis, and enhanced antioxidant capacity by modulating proteins involved in mitochondrial dynamics and BDNF. Processed products showed superior efficacy: PT + ER prominently regulated the HPA axis, while PT + L significantly upregulated BDNF. This study clarifies the material basis and multitarget mechanisms of PT and its processed variants, confirming traditional processing benefits and providing experimental evidence for clinical use in age-related neurodegenerative disorders. Show less
no PDF DOI: 10.1002/bmc.70458
BDNF bioinformatics brain aging chemical in vivo mechanistic polygalae radix processed products
Yuting Li, Pingchuan Zhang, Jun Guan +8 more · 2026 · Clinical genetics · Blackwell Publishing · added 2026-04-24
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the w Show more
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH. Show less
no PDF DOI: 10.1111/cge.70114
FGFR1
Weiji Deng, Xinyu Li, Min HU +2 more · 2026 · Nutrients · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/nu18050746
APOE
Zhouhua Li, Yuexiu Lei, Zheyu Wen +2 more · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Physical activity (PA) is known to enhance brain health; however, prior research has predominantly concentrated on the total volume of PA, often overlooking the frequency of daily PA on an hourly basi Show more
Physical activity (PA) is known to enhance brain health; however, prior research has predominantly concentrated on the total volume of PA, often overlooking the frequency of daily PA on an hourly basis. This prospective cohort study examined 69,393 middle-aged and older adults, utilizing wrist-worn accelerometer data to assess PA. A novel PA frequency score was developed, which integrated light PA (LPA) and moderate-to-vigorous PA (MVPA) across 18 hourly segments (6:00 AM-12:00 AM). Participants were categorized into Inactive, Active, and Very Active groups. After adjusting for potential confounders, it was observed that individuals in the Active and Very Active groups exhibited a reduced risk of developing brain disorders such as dementia, anxiety, depression, migraine, Parkinson's disease, and stroke over a median follow-up period of 7.41 years. Magnetic Resonance Imaging (MRI) findings demonstrated that each unit increase in the PA frequency score correlated with a 51.55 mm Show less
no PDF DOI: 10.1016/j.jad.2026.121528
LPA
Ya-Xin Deng, Bao-Jun Ding, Hong-Chun Li +4 more · 2026 · Yi chuan = Hereditas · added 2026-04-24
The
no PDF DOI: 10.16288/j.yczz.25-190
APOA4
Anqi Cheng, Yinxi Zou, Linwen Liu +12 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
The apolipoprotein E ε4 (APOE ε4) allele is a major genetic risk factor for Alzheimer's disease, but its relevance to cognition in intracranial atherosclerosis (ICAS) remains unclear. We investigated Show more
The apolipoprotein E ε4 (APOE ε4) allele is a major genetic risk factor for Alzheimer's disease, but its relevance to cognition in intracranial atherosclerosis (ICAS) remains unclear. We investigated the association between APOE ε4 and cognition in ICAS. Baseline data from a multicenter cohort were analyzed. Patients with radiologically confirmed ICAS underwent APOE genotyping, plasma biomarker assays, magnetic resonance imaging assessment of cerebral small vessel disease (CSVD) and brain atrophy, and standardized cognitive testing. Among 409 patients (mean age 60 years, 55% male), 16% carried APOE ε4. Carriers showed more frequent cognitive impairment (63% vs 48%), greater stenosis burden, and lower plasma amyloid beta (Aβ)42/40 ratios, whereas other Alzheimer's biomarkers, CSVD burden, and atrophy scores showed no difference. After adjustment, APOE ε4remained associated with cognitive impairment (odds ratio [OR] 1.86). The association was pronounced in women (OR 4.43) but absent in men. APOE ε4 is linked to cognitive impairment in ICAS, particularly in women, through mechanisms beyond Alzheimer's pathology. In patients with ICAS, cognitive impairment was more prevalent in carriers than in non-carriers. Carriers showed greater stenosis burden and lower plasma Aβ42/40 ratios. After full adjustment (stroke, CSVD, and AD biomarkers), APOE ε4 remained associated with cognitive impairment. Female carriers had substantially higher odds of cognitive impairment. Show less
📄 PDF DOI: 10.1002/alz.71087
APOE
Yifen Shen, Mengjie Zhang, Tao Yang +9 more · 2026 · Cellular & molecular biology letters · BioMed Central · added 2026-04-24
Periodontal ligament stem cells (PDLSCs) hold great promise for periodontal regeneration therapy. However, their self-renewal and multilineage differentiation capabilities are often compromised by adv Show more
Periodontal ligament stem cells (PDLSCs) hold great promise for periodontal regeneration therapy. However, their self-renewal and multilineage differentiation capabilities are often compromised by adverse factors in the periodontal microenvironment. Therefore, identifying novel therapeutic targets and elucidating the underlying molecular mechanisms to protect the proliferative and differentiation potential of PDLSCs is of significant importance. PDLSCs were exposed to electronic cigarette extract and various common oral stressors to evaluate the expression of glucagon such as peptide 1 receptor (GLP1R) and gastric inhibitory polypeptide receptor (GIPR). PDLSCs isolated from patients with periodontitis and PDLSCs from a mouse periodontitis model were also analyzed. Functional studies were performed by GLP1R or GIPR knockdown, overexpression, and treatment with single or dual receptor agonists, followed by assessment of cell proliferation and multilineage differentiation capacities. Transcriptome (RNA-seq), chromatin immunoprecipitation sequencing (ChIP-seq), and RNA immunoprecipitation sequencing (RIP-seq) were applied to delineate downstream signaling pathways and RNA–protein interactions. Protein synthesis regulation was further investigated by immunoprecipitation of interferon induced protein with tetratricopeptide repeats (IFIT)-associated translation initiation factors. For in vivo validation, wild-type and GLP1R/GIPR double-knockout periodontitis mice were transplanted with CRISPR-Cas9 mCherry-labeled PDLSCs and treated with receptor agonists. Disease severity and PDLSC fate were evaluated by histology and lineage tracing. Finally, a questionnaire-based survey was conducted in 150 patients with periodontitis, including 74 individuals with long-term use (> 1 month) of GLP1R or GLP1R/GIPR dual agonists (e.g., semaglutide, liraglutide, tirzepatide), to assess their periodontal outcomes. GLP1R and GIPR expression were markedly downregulated in PDLSCs exposed to multiple stressors and in PDLSCs isolated from periodontitis specimens. RNA-seq, ChIP-seq, and RIP-seq identified downstream pathways and RNA–protein interactions implicated in receptor-mediated regulation. Functionally, GIPR agonism promoted PDLSC proliferation via activation of the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) pathway, whereas GLP1R agonist enhanced multilineage differentiation capacity in vitro. Mechanistically, GLP1R knockdown induced robust upregulation of IFIT1/2/3, while GLP1R agonist suppressed IFIT expression. IFIT1/2/3 were shown to interact with eIF3C and to inhibit translation of differentiation-related mRNAs, linking GLP1R signaling to translational control of PDLSC fate. In vivo, transplantation experiments in both wild-type and GLP1R/GIPR double-knockout periodontitis mice demonstrated that single and dual receptor agonists significantly improved endogenous and exogenous PDLSC-mediated periodontal regeneration. Consistently, a clinical survey of 150 patients with periodontitis (74 receiving GLP1R or dual agonists) revealed significantly better periodontal staging and grading in treated individuals, with longer agonist exposure associated with greater improvement. Our findings uncover the different molecular roles of GIPR and GLP1R in self-renewal capacity and multipotency of PDLSCs, and open new avenues for developing therapeutic targets and strategies in oral tissue engineering and regenerative medicine. The online version contains supplementary material available at 10.1186/s11658-026-00867-2. Show less
📄 PDF DOI: 10.1186/s11658-026-00867-2
GIPR
Shaowei Liu, Bin Ma, Yanju Liu +3 more · 2026 · BMC psychiatry · BioMed Central · added 2026-04-24
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-ce Show more
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-centered approaches fail to capture how distinct affective temperaments co-occur within individuals. This study aimed to identify latent profiles of affective temperaments and examine their association with NSSI, exploring the statistical mediating role of cognitive emotion regulation (CER). A cross-sectional study was conducted from February 2025 to September 2025 at the First Hospital of Hebei Medical University. A total of 290 adolescents (aged 10–19) diagnosed with Major Depressive Disorder were recruited, with 282 valid responses included in the final analysis. Participants completed the TEMPS-A, CERQ, and ASHS. Latent Profile Analysis (LPA) was utilized to identify temperament subgroups. Mediation analysis with bootstrapping was performed to test the indirect effects of CER strategies. LPA identified three distinct profiles: Resilient/Low-risk (Class 1, 32.6%), Anxious-Depressive (Class 2, 46.1%), and Mixed-Dysregulated (Class 3, 21.3%). The Mixed-Dysregulated group, characterized by simultaneous elevations in depressive, anxious, irritable, and cyclothymic temperaments, exhibited the highest frequency (45.2 ± 21.3 times/year) and prevalence (98.8%) of NSSI compared to other groups ( The findings delineate a specific “Mixed-Dysregulated” risk phenotype within adolescent depression that is associated with severe NSSI. Interventions should move beyond standard depression care to target cognitive flexibility and emotional regulation skills. Statistical mediation analysis suggests that this risk is mediated by maladaptive cognitive emotion regulation strategies. Not applicable. Show less
📄 PDF DOI: 10.1186/s12888-026-07910-8
LPA
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
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
Yanghong Zou, Chunhai Zhang, Hui Bian +5 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progre Show more
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progression of PD. This study aimed to investigate the specific molecular mechanism underlying the promotion of PD progression by METH through the regulation of microglial polarization and glycolysis. METH-induced C57BL/6 mice and BV2 cells were used to construct PD-like neurotoxicity animal and cell models for experimental investigation. Behavioral tests, immunohistochemistry and Nissl staining were used to assess the behavioral ability and neuronal damage of the animals. The levels of related proteins, inflammatory cytokines and glycolysis were detected using immunofluorescence, ELISA, Western blotting, and CCK-8 assays. METH treatment significantly promoted behavioral disorders in PD mice, reduced the number of TH-positive neurons, and aggravated neuronal damage in the substantia nigra (SN). In addition, METH decreased the M2 marker proteins Arg-1 and CD206 and increased the M1 marker proteins iNOS and CD86; the proinflammatory cytokines TNF-α, IL-β, and IL-6; and glucose uptake, glucose consumption and lactic acid production, thus promoting M1 polarization and glycolytic activity in BV2 cells. In terms of the underlying molecular mechanism, METH treatment significantly increased the level of LPA. METH promotes LPA expression via upregulation of LIPH expression, and activates the PI3K/AKT pathway. Knockdown of LIPH or treatment with BrP-LPA reduces the ability of METH to promote M1 microglial polarization and glycolytic activity. Furthermore, the addition of the PI3K/AKT signaling pathway activator 740 YP weakened the inhibitory effect of BrP-LPA on the above process. METH may promote M1 polarization and glycolytic activity in microglia by activating LIPH/LPA/PI3K/AKT signaling, thus promoting the progression of PD. Show less
no PDF DOI: 10.1016/j.intimp.2026.116306
LPA
Peihong Su, Xiaoli Ma, Chong Yin +9 more · 2026 · Aging cell · Blackwell Publishing · added 2026-04-24
The increasing prevalence of age-related osteoporosis has emerged as a critical public health issue in the context of the globally aging population. Chronic oxidative stress, induced by excessive reac Show more
The increasing prevalence of age-related osteoporosis has emerged as a critical public health issue in the context of the globally aging population. Chronic oxidative stress, induced by excessive reactive oxygen species (ROS) associated with aging, is a critical factor underlying the development of osteoporosis in elderly individuals and a diminished capacity for bone formation and osteogenic differentiation. However, the mechanism underlying age-related osteoporosis remains unclear. MACF1 (microtubule actin crosslinking factor 1) is an essential factor that regulates bone formation and development, and exhibits reduced expression as humans age. In this study, we used MACF1 conditional knockout (MACF1-cKO) mice as a premature aging model and found that MACF1-cKO mice exhibited chronic oxidative stress. Moreover, the expression level, nuclear translocation, and transcriptional activity of FoxO1 were promoted in MACF1 deficient osteoblastic cells. In addition, the binding of FoxO1 to β-catenin was enhanced, increasing the transcriptional activity of the FoxO1/β-catenin pathway in MACF1 deficient osteoblastic cells. The enhanced FoxO1/β-catenin pathway competitively weakens the binding of β-catenin to TCF7 and decreases the activity of the TCF7/β-catenin pathway. Our study showed that FoxO1 responded to chronic oxidative stress induced by MACF1 deficiency to determine β-catenin fate and regulate osteoblast differentiation during senile osteoporosis. Show less
📄 PDF DOI: 10.1111/acel.70306
MACF1
Chenxu Ge, Jiamao Lin, Changsheng Yang +19 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Particulate matter ≤2.5 µm (PM
📄 PDF DOI: 10.1002/advs.202508458
MC4R
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
Azadeh Feizpour, Vincent Doré, Pierrick Bourgeat +24 more · 2026 · The journal of prevention of Alzheimer's disease · Elsevier · added 2026-04-24
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether Show more
The agreement between plasma Aβ42/40 and Aβ positron emission tomography (PET) is approximately 75 %, with ∼85 % of discrepancies due to positive plasma but negative PET results. It is unclear whether this reflects Aβ changes in plasma before PET-detectable. To assess the influence of Aβ42/40 positivity on risk of progression to Aβ PET positivity, and feasibility of using plasma Aβ42/40 tests to enrich a primary prevention trial. A prospective longitudinal cohort study. Participants of Australian Imaging, Biomarkers and Lifestyle study (AIBL), Alzheimer's Disease Neuroimaging Initiative (ADNI), and Open Access Series of Imaging Studies 3 (OASIS3). 507 cognitively unimpaired adults at baseline, with a baseline Aβ PET < 20 Centiloid (CL) and available longitudinal Aβ PET data. Baseline Aβ PET and plasma Aβ42/40 measurement by mass-spectrometry, followed by 1-6 additional Aβ PET scans every 1.5-3 years. Those < 5 CL were classified as PET- and 5-20 CL as PET At baseline, 283 were Plasma-/PET-, 97 Plasma+/PET-, 76 Plasma-/PET Cognitively unimpaired individuals with abnormal Aβ42/40 are at increased risk for future Aβ PET positivity. In the 5-20 CL subgroup, baseline CL is the main driver of this risk. Combining blood-based pre-screening with PET imaging may help efficiently enrich primary prevention trials. Show less
📄 PDF DOI: 10.1016/j.tjpad.2025.100455
APOE
Chan Cai, Bing Cheng, Chongqing Shi +4 more · 2026 · PloS one · PLOS · added 2026-04-24
The quality of informal care for people with dementia (PwD) has gained increasing importance, as most PwD prefer home-based care over institutional placement. However, evidence-based intervention prog Show more
The quality of informal care for people with dementia (PwD) has gained increasing importance, as most PwD prefer home-based care over institutional placement. However, evidence-based intervention programs tailored to distinct care quality profiles remain limited. Additionally, the absence of clear thresholds to identify PwD receiving low-quality informal care poses a challenge for research and clinical practice. Thus, this study aimed to identify the profiles of quality of care (QoC) among informal caregivers of PwD, explore influencing factors of different profile, and determine the optimal cut-off score of the Exemplary Care Scale (ECS). A cross-sectional survey was conducted. A total of 213 dyads of PwD and their informal caregivers were recruited from memory clinic, rehabilitation clinic, and neurological clinic of a tertiary hospitals and communities in Wuhan, Hubei, China, between July 15, 2023, and July 14, 2024. Latent profile analysis (LPA) was employed to identify QoC profiles. Multinomial logistic regression was performed to explore influencing factors of profile membership. Receiver Operating Characteristic (ROC) analysis was conducted to determine the ECS cut-off score. Three distinct QoC profiles were identified: high (24.41%), moderate (44.60%), and low (30.99%). Among informal caregivers, lower monthly income, insufficient social support, and higher perceived overload were associated with low QoC profile, whereas, better quality of pre-illness relationship with PwD and greater activities of daily living (ADL) of PwD were associated with high QoC. ROC analysis yielded an optimal ECS cut‑off score of 15, with high sensitivity (0.993) and specificity (0.955). This study identified three distinct QoC profiles among caregivers of PwD, underscoring the heterogeneity of informal care quality. The identified predictors and the validated ECS cut‑off score of 15 provide an empirical basis for developing tailored screening tools and targeted interventions for high‑risk caregiver subgroups. Show less
📄 PDF DOI: 10.1371/journal.pone.0346557
LPA