👤 Siguang Li

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Also published as: Xiaofeng Li, Jingwen Li, Jiajia Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Hang Li, Ziming Li, Rongqing Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Xiao-Lin Li, Yicun Li, Jiajie Li, Zhao-Yang Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Peiwu Li, Youran Li, Yongmei Li, Changyu Li, Peilin Li, X Y Li, Ran Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Ye Li, Guanglve Li, Z Li, Zili Li, Xinmei Li, Yihao Li, Qing Run Li, Liling Li, Wulan Li, Meng-Yang Li, Ziyun Li, Haoxian Li, Xiaozhao Li, Jun-Ying Li, Da-Lei Li, Xinhai Li, Yongjiang Li, Wanru Li, Jinming Li, Huihui Li, Wenhao Li, Qiankun Li, Kailong Li, Shisheng Li, Shengxu Li, Sai Li, Guangwen Li, Hua Li, Xiuli Li, Yulong Li, Dongmei 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, Xuelin Li, Xueyang Li, Fa-Hui Li, Caiyu Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Mingxu Li, Chen-Xi Li, Panlong Li, Dejun Li, Changwei Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, 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, Maolin Li, Yongnan Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Linting Li, Aixin Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Z-H Li, Yongli Li, Baohong Li, Hujie Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Hualing Li, Wen-juan Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Jingya Li, Liqin Li, Huanan Li, Youjun Li, Zheng-Dao Li, Miao X Li, Zhenshu Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Wenbo Li, Runwen Li, Yarong Li, Side Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Chuan-Hai Li, Lingxi Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Zhongyu Li, Qin Li, Deyu Li, Zhen-Yu Li, Hansen Li, Annie Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Qintong Li, 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, 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, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Tianjun Li, Desen Li, Yansong Li, Xiying Li, Zihao Li, Weiyong Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Jianglin Li, Yingpu Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, L K Li, Ya-Ting Li, Wan Jie Li, Dongbiao Li, Aimin Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Xiuqi Li, Peiyun Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, YiPing Li, Tian Li, Beibei Li, Demin Li, Haipeng Li, Chuan Li, Changhong Li, Ze-An Li, Jianmin Li, Yu Li, Minhui Li, Yvonne Li, Yiwei Li, Jiayuan Li, Xiangzhe Li, Zhichao 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, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Zijing Li, Dengke Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, Dong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Panyuan Li, Gang Li, Ziyu Li, Mengxuan Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Weina Li, Xiaojuan 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, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Zu-Ling Li, Jialing Li, Xin Li, Yunjiu Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Zhaoshui Li, Yali Li, Wenjing Li, Yu-Hui Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, 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, Ruobing Li, Yanxi Li, Wan-Xin Li, Yongjing Li, Meitao Li, Xia Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Huixue Li, Jiqing Li, Hehua Li, Yucheng Li, Qingyuan Li, Yongqi Li, Fengqi Li, Yuqing Li, Zhigang Li, Guiyang Li, Guo-Qiang Li, Dujuan Li, Yanbo Li, Yuying Li, Shaofei Li, Sanqiang Li, Shaoguang Li, Min-Rui Li, Hongyu Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Jinxin Li, Ganggang Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, 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, Yumiao Li, Fengfeng Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Chenxuan Li, Xiao-Dong Li, Xinghuan Li, Zhaoping Li, Xingyu Li, 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, Yinghua Li, Mulin Jun Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Chaoying Li, Qiu Li, Juanjuan Li, Xiangyan Li, Guangzhen Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Jifang Li, Zhenjia Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, Chunqiong Li, Huiliang Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Weining Li, Wenxi Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yuqiu Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Xiang-Jun Li, Hongyi Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Minqi Li, Saijuan Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei Li, Minle Li, Meifen Li, Le-Le Li, Yifeng 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, Dongyang Li, Jinglin Li, Mingfang Li, Honglong 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, Jin-Jiang Li, Cheng-Tian Li, Chang Li, Zhi-Xing Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, 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, Xiaoqiong Li, You Ran Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Wenzhuo Li, Xuri Li, Y Li, Deqiang Li, Caixia Li, Zipeng Li, Mingyue Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, Xi Li, S-C Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Ziyang Li, Sitao Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Bingsong Li, Anqi Li, Xiaoju Li, Ting Li, Xiaonan Li, Zhenyu Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Yanchang Li, Xunjia Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Zong-Xue Li, En-Min Li, Chunya Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Qian-Qian Li, Yuanheng 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, Junxin Li, Yu-Sheng Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shanglai Li, Shulin Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Xueying Li, Jun-Ru Li, JunBo Li, Zhaobing Li, Xiaoqi Li, Xiucui Li, Linxin Li, Haihua Li, Yu-Lin Li, Jen-Ming Li, Shujing Li, Chen-Chen Li, Tsai-Kun Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Shihong Li, Ya-Pei Li, Huifeng Li, Rulin Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Wenjia Li, Min-Dian Li, Xiatian Li, Hongwei Li, Ding-Jian Li, Danni Li, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Pengyang Li, Zhenzhou Li, Kun-Xin Li, Xiawei Li, Binglan Li, Xiangpan Li, Zesong Li, Yutong Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Shu-Fang Li, Huang Li, Qiusheng Li, 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, Wenhong Li, Quanpeng Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Wen-Ting Li, Guohua Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Shihao Li, Yazhou Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Shaodan Li, Meng-Hua Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Yueguo Li, Mo Li, Zheng Li, Ming-Hao Li, Donghe Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Jingqi Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Chong Li, Xiao-Kang Li, Hanqi Li, Fugen Li, Yuwei Li, Yangyang Li, Xiaochen Li, Dongfang Li, Zhuorong Li, Zizhuo Li, X-H Li, Xianrui Li, Lan-Juan Li, Dong Sheng Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Zhifei Li, Jinhui Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Longyu Li, Guiying Li, Jinku Li, X B Li, Changgui Li, Zhisheng Li, Cuiling Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Peihua Li, Kai-Wen Li, Suwen Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Yue-Ying Li, Kongdong Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Chang-Yan Li, Qifang Li, Xiaohua 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, Jianyong Li, Shujie 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, Xiaokun Li, Xinke Li, Ming-Wei Li, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Jin Li, Shibo Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, Hui Li, AnHai Li, Chenli Li, Zhengrui Li, Rumei Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Lipeng Li, Qinghua Li, Qinqin Li, Leilei Li, Ranchang Li, Defu Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Qing-Min Li, Meiyan Li, Yonghe Li, Yun-Da Li, Xinwei Li, Yu-I Li, Shunhua Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Shen Li, Tianjiao Li, Ziqi Li, Shufen Li, Gui-Rong Li, Yunfeng Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Pinghua Li, Xu Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, 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, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Xiong Bing Li, Hanqin Li, Wen Lan Li, Qingjie Li, Guoge Li, Han Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Chaojie Li, Michelle Li, Caolong Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Guangdi Li, Peipei Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang Li, S L Li, Ming-Kai Li, Shunqing Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Ruolin Li, Yongle Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, Dong-Ling Li, M Li, Chenwen Li, Jiehan Li, 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, Shugang Li, Shengli Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Ru Li, Yongxin Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Bingbing Li, Qinglin Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, H J Li, Yanping Li, Zhenyan Li, Ji Xia Li, Yu-Ye Li, Meizi Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, L I Li, Zhengnan Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Xuefei Li, Guojun Li, Senlin Li, Hung Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, Hongzhe K Li, P Li, Xiao-Qiu Li, Fulun Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Yi-Yang Li, Zhihui 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, Gan Li, Shichao Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Lihong Li, Chun Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, 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Yuhuang Li, Shanshan Li, Jiangbo Li, Wan-Shan Li, Xiaohan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Fengxiang Li, Xuejun Li, Shunwang Li, Nana Li, Chao Li, Yaqing Li, Bingsheng Li, Jingui Li, Yaqiao 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, Xinjian Li, Jialun Li, Zilu Li, Rui 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, Xutong Li, Lin-Feng Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, Yongjin Li, Shuangxiu Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Weike Li, Desheng Li, 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, 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, Xinrui Li, Congye Li, Dehai Li, Wensheng Li, Jiannan Li, Qingshang Li, Guanbin Li, Zhiyi Li, Hanbin Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, 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, Zhiping Li, Yan-Li Li, Haiming Li, Yansen Li, Gaijie Li, Yuemei Li, Yanli Li, Jingfeng Li, Hai Li, Zhi-Yuan 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, 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, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Yanqing Li, Jixuan Li, Zijian Li, Zhandong Li, Xuejie Li, Congjiao Li, Peining Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Qun Li, Cuiguang Li, Dongye Li, Tianye Li, Zhen Li, Yuan Li, Chunhong Li, F Li, Mengling Li, Kunpeng Li, Jia-Da 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articles
Shichao Li, Liang Peng, Yuting Wang · 2026 · Actas espanolas de psiquiatria · added 2026-04-24
As a result of individual genetic variations, some patients show no response to initial antidepressant medications. This study aims to investigate the association between specific genetic polymorphism Show more
As a result of individual genetic variations, some patients show no response to initial antidepressant medications. This study aims to investigate the association between specific genetic polymorphisms and the efficacy of antidepressant drugs and to improve the accuracy and effectiveness of treatment under the guidance of genetic testing. A retrospective screening was conducted on medical records from, Suixian People's Hospital between January 2022 and December 2024. A total 202 patients with depression carrying the CYP2C19 gene were selected after the application of exclusion criteria. They were assigned to three groups in accordance with their genetic metabolism types: the rapid metabolism group (Group A, n = 65), the intermediate metabolism group (Group B, n = 94) and the poor metabolism group (Group C, n = 43). All three groups were treated with sertraline for a six-week treatment cycle. The observation indicators included scores on the Hamilton Depression Scale (HAMD); onset time of drug effect; rates of response and remission; scores on the Clinical Global Impression-Improvement (CGI-I) scale; levels of the neurotransmitter factors 5-hydroxytryptamine (5-HT), γ-aminobutyric acid (GABA) and brain-derived neurotrophic factor (BDNF); incidence of adverse events; and scores on the Morisky Medication Adherence Scale-8 (MMAS-8). The baseline data of the three groups of patients were comparable before medication (p > 0.05). Compared with those in Groups A and B, patients in Group C showed a significantly greater reduction in HAMD scores (all p < 0.05), along with higher response rates (all p < 0.05) and remission rates (all p < 0.05). Amongst the three groups, Group C had a shorter onset time of drug effect (all p < 0.05); more significant improvement in CGI-I scores (all p < 0.05); and more prominent upregulation of neurotransmitter factors, namely, 5-HT (all p < 0.05), GABA (all p < 0.05) and BDNF (all p < 0.05). Regarding the incidence of adverse events, Group C had the highest rate, whereas Group A had the lowest (10.8% vs. 24.5% vs. 41.9%). Compared with other groups, Group B exhibited a more significant increase in MMAS-8 scores (all p < 0.05). Metabolic phenotype exerts substantial effects on the therapeutic outcome of sertraline in patients with depression carrying the CYP2C19 gene. Amongst groups, Group C showed better therapeutic efficacy but an elevated incidence of adverse events and lower medication adherence; Group A had relatively poor efficacy; and Group B demonstrated superior adherence. In clinical practice, individualised treatment can be implemented on the basis of CYP2C19 metabolic typing to improve therapeutic efficacy and reduce adverse events and medical burden. Show less
📄 PDF DOI: 10.62641/aep.v54i1.2098
BDNF
Hongyu Zhao, Feixue Chen, Bing Li +3 more · 2026 · Clinical laboratory · added 2026-04-24
Irritable bowel syndrome (IBS) associated with early-life stress (ELS) commonly manifests as anxiety and visceral hypersensitivity. However, the pathogenic mechanisms underlying these effects are not Show more
Irritable bowel syndrome (IBS) associated with early-life stress (ELS) commonly manifests as anxiety and visceral hypersensitivity. However, the pathogenic mechanisms underlying these effects are not fully understood. This study aims to investigate the role of brain-derived neurotrophic factor (BDNF) as a key mediator of ELS-induced changes through the brain-gut axis. A Sprague-Dawley male maternal separation (MS) rat model was used to induce anxiety and visceral hypersensitivity associated with ELS. BDNF levels were measured in the limbic system (cingulate gyrus, amygdala, and hippocampus) and serum. The correlation between BDNF levels, anxiety, and visceral hypersensitivity was analyzed. Corticotropin-releasing factor (CRF) expression in the hippocampus and the extent of visceral hyper-sensitivity were assessed in control, MS, and MS+K252a (a BDNF receptor antagonist) groups. MS rats exhibited higher levels of anxiety and visceral hypersensitivity compared to controls. BDNF production in the hippocampus was elevated in MS rats and positively correlated with anxiety (r = -0.78, p < 0.05) and visceral hypersensitivity (r = 0.93, p < 0.01). CRF expression, a key mediator of stress and visceral hypersensitivity, was also increased in the hippocampus of MS rats. Inhibition of BDNF signaling using K252a reduced CRF expression and alleviated visceral hypersensitivity. This study demonstrates that BDNF may mediate ELS-induced anxiety and visceral hypersensitivity through hippocampal TrkB-CRF signaling, providing a mechanistic basis for targeting BDNF in stress-related IBS. Show less
no PDF DOI: 10.7754/Clin.Lab.2025.251129
BDNF bdnf brain-gut axis crf signaling early-life stress hippocampal irritable bowel syndrome trkb
Chunyan Liu, Guangdong Hu, Haoyu Zhang +5 more · 2026 · Natural product research · Taylor & Francis · added 2026-04-24
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term tre Show more
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term treatments of the existing drugs suffered safety concerns. Show less
no PDF DOI: 10.1080/14786419.2026.2613756
APOE
Taichi Goto, Diane Von Ah, Xiaobai Li +5 more · 2026 · Journal of cancer survivorship : research and practice · Springer · added 2026-04-24
📄 PDF DOI: 10.1007/s11764-026-02015-3
BDNF
Ying Zhang, Zhouting Tuo, Yuan Lin +10 more · 2026 · Cancer research · added 2026-04-24
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating Show more
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating heterogeneity of CAFs in renal cell carcinoma (RCC) could represent potential targets for reprogramming the TME. In this study, we conducted single-cell RNA sequence and flow cytometry analyses that identified a CAF subset overexpressing apolipoprotein E (ApoE), which was correlated with poor survival in patients with RCC. Mechanistically, NRF1 activation in CAFs induced formation of ApoEhigh CAFs and secretion of NRG1. ApoEhigh CAFs potentiated stemness properties in the surrounding RCC cells by secreting NRG1 and subsequently activating the HER2/NF-κB pathway. Interfering with NRG1 expression or inhibiting NF-κB signaling reduced ApoEhigh CAF-induced stemness of RCC cells. Furthermore, neutralizing NRG1 enhanced the efficacy of sunitinib in RCC models in vivo. Together, these findings highlight targeting the tumor-promoting functions of ApoEhigh CAFs as a promising approach for treating advanced RCC. NRF1 drives formation of ApoEhigh cancer-associated fibroblasts that secrete NRG1 to stimulate stemness of renal cell carcinoma, revealing a stromal-mediated mechanism that can be inhibited to improve treatment of advanced kidney cancer. Show less
no PDF DOI: 10.1158/0008-5472.CAN-25-0959
APOE
Fanrong Zeng, Xinyi Zhang, Meng Zhang +6 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and Show more
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and genotype and allele frequencies were compared between groups. Multivariate logistic regression analyzed the link between ApoE polymorphisms and CAD risk in populations at middle and high altitudes. The data revealed significant differences in These findings validated that the Show less
📄 PDF DOI: 10.3389/fendo.2026.1765770
APOB
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
Fei Gao, Kexin Ren, Bingbing Fan +2 more · 2026 · BMC geriatrics · BioMed Central · added 2026-04-24
To examine associations between the 24-h composition of movement behaviors (sedentary behavior [SB], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep) and physic Show more
To examine associations between the 24-h composition of movement behaviors (sedentary behavior [SB], light physical activity [LPA], moderate-to-vigorous physical activity [MVPA], and sleep) and physical and mental health in older adults using compositional data analysis. Data came from 4,150 adults aged ≥ 60 in the 2015 China Health and Nutrition Survey. Multiple‑balance isometric log‑ratio regression and compositional isotemporal substitution models were used to assess relative associations and the effect of time reallocation. The 24‑hour geometric mean composition was 43.1% sleep, 30.6% SB, 21.8% LPA, and 4.5% MVPA. LPA was positively associated with physical (β = 0.062, Replacing sedentary time or sleep with LPA, even in small amounts, is associated with better physical and mental health in older adults, supporting integrated 24‑hour activity guidelines that emphasize light‑intensity movement. Show less
📄 PDF DOI: 10.1186/s12877-026-07212-4
LPA
Huawen Yu, Jie Yu, Xiao Yang +7 more · 2026 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
To investigate the role of PINK1/Parkin-mediated mitophagy in regulating synaptic remodeling of neuronal cells in depression-like behaviors induced by nonylphenol (NP). In vitro experiments: HT-22 neu Show more
To investigate the role of PINK1/Parkin-mediated mitophagy in regulating synaptic remodeling of neuronal cells in depression-like behaviors induced by nonylphenol (NP). In vitro experiments: HT-22 neuronal cells were exposed to NP, and mitophagy and Parkin expression were inhibited using specific inhibitors. The cells were categorized into the following groups: (1) control (C) and low-dose NP group (L: 2.5 µM), medium-dose NP group (M: 50 µM), and high-dose NP groups (H: 100 µM); (2) control (C), NP (100 µM), Mdivi-1 (5 µM), and Mdivi-1 + NP (5 µM Mdivi-1 +100 µM NP) groups; (3) control (C), NP (100 µM), AC220 (2 nM), and AC220 + NP (2 nM AC220 +100 µM NP) groups. In vivo experiments: a total of 48 mice, including 24 C57BL/6 wild-type mice and 24 PKRK2 gene-knockout mice, were randomly assigned to the following four groups: control (C), NP (100 mg/kg/day), PKRK2-knockout (KO), and PKRK2-knockout + NP (100 mg/kg/day, KH) groups, with 12 mice in each group. In vitro: With increasing NP concentration, the ATP content reduced and the expressions of synaptic remodeling-related proteins (i.e., PSD-95, BDNF, SYN) decreased. In contrast, the expressions of mitophagy-related proteins and those involved in the PINK1/Parkin-signaling pathway (such as p62, Beclin1, PINK1, Parkin) increased (P < 0.05). Inhibition of mitophagy with Mdivi-1 alleviated the NP-induced changes in synaptic, mitophagy-related, and PINK1/Parkin pathway-related proteins. Similarly, the inhibition of Parkin with AC220 mitigated NP-induced effects on synaptic, mitophagy-related, and PINK1/Parkin-signaling pathway-related proteins and mRNA expression. In vivo: PKRK2 gene-knockout mice exhibited improved NP-induced depression-like behaviors and decreased NP-induced synaptic morphology and mitochondrial ultrastructure changes. Moreover, the gene knockout alleviated the downregulation of synaptic remodeling-related proteins and inhibited the PINK1/Parkin-signaling pathway-mediated mitophagy activated by NP. Mitophagy inhibition or PKRK2 knockout can alleviate NP-induced downregulation of synaptic remodeling-related proteins, protect synaptic morphology and ultrastructure, and improve NP-induced depression-like behaviors. Show less
no PDF DOI: 10.1016/j.ecoenv.2026.120149
BDNF depression mitophagy neuronal cells neuroscience parkin pink1 synaptic remodeling
MengGe Li, HuiYue Wang, ZhenYan Tang +2 more · 2026 · Aging and disease · added 2026-04-24
The neurovascular unit (NVU) represents a multicellular functional ensemble pivotal to the preservation of cerebral homeostasis, encompassing endothelial cells, pericytes, glial cells (astrocytes, mic Show more
The neurovascular unit (NVU) represents a multicellular functional ensemble pivotal to the preservation of cerebral homeostasis, encompassing endothelial cells, pericytes, glial cells (astrocytes, microglia, oligodendrocytes), and neurons. This complex orchestrates the regulation of blood-brain barrier (BBB) integrity, cerebral blood flow (CBF), and the metabolic microenvironment requisite for neuronal viability and functional competence. Accumulating lines of evidence have underscored that NVU dysfunction constitutes a critical early pathological event in neurodegenerative disorders, including Alzheimer's disease (AD) and vascular dementia (VaD). The present review summarizes the structural composition and core physiological functionalities of the NVU, with particular emphasis on the emerging role of lipid metabolism dysregulation in mediating NVU impairment-an aberrant process encompassing lipid droplets, apolipoprotein E (APOE), ATPase phospholipid transporting 11B (ATP11B), triggering receptor expressed on myeloid cells 2 (TREM2), and ATP-binding cassette (ABC) transporters. We further delineate the mechanisms by which disrupted lipid homeostasis elicits neuroinflammation, amplifies oxidative stress, impairs amyloid-β (Aβ) clearance, and precipitates BBB breakdown, ultimately culminating in cognitive decline. Simultaneously, this review examines controversies within the field, such as the specific role of apolipoprotein E ε4 allele (APOE4) in disease and highlights the significant pathophysiological differences between preclinical animal models and human diseases. Therapeutic strategies targeting lipid metabolism or the blood-brain barrier still face considerable challenges in clinical translation. Meanwhile, emerging tools such as lipidomics contribute to systematically analyzing the associated dysregulated lipid networks, thereby aiding in the identification of novel therapeutic targets. Show less
no PDF DOI: 10.14336/AD.2025.1464
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
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
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
Qing Li, Shasha Zhu, Guanyu Chen +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden i Show more
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden in arterial endothelial cells. Interestingly, in vitro studies showed that PCA at physiologically reachable concentrations does not affect inflammation burden in TNF-α-stimulated aortic endothelial cells, whereas it increases the content of exosomal miR-10b secreted by macrophages that have engulfed apoptotic cells (efferocytic macrophages). This study was aimed at investigating whether the in vivo anti-inflammatory effect of PCA in arterial endothelial cells was due to the uptake of efferocytic macrophage exosomal miR-10b. A transwell co-culture system of aortic endothelial cells with efferocytic macrophages was used to evaluate the effect of PCA on NF-κB-mediated inflammation in aortic endothelial cells. An inhibitor of exosome secretion, GW4869, was applied to confirm the role of exosomes played in the anti-inflammatory effect of PCA. The aortic endothelial cells were administrated with exosomes isolated from PCA-treated efferocytic macrophages or miR-10b mimic or antagomir to ascertain the role of miR-10b in downregulating inflammation effect of PCA. Bioinformatics analyses, loss-of- and gain-of-function assays and luciferase reporter gene assays were performed to identify targeting relationship between miR-10b and mitogen-activated protein kinase kinase kinase 7 (MAP3K7)/β-transducin repeat-containing protein (β-TrCP). Besides, Apoe PCA at physiologically reachable concentrations inhibited NF-κB-mediated inflammation in TNF-α-stimulated aortic endothelial cells co-cultured with efferocytic macrophages, in which treatment of GW4869 reversed this effect. Exosomes isolated from PCA-treated efferocytic macrophages inhibited inflammation and increased miR-10b levels in aortic endothelial cells. Mechanistically, exosomal miR-10b post-transcriptionally repressed MAP3K7 and β-TrCP, both of which promote NF-κB activation. Knockdown of Map3k7 and Btrc with siRNA in aortic endothelial cells abolished the inhibitory effects of exosomes isolated from PCA-treated efferocytic macrophages on NF-κB-mediated inflammation. Consistently, oral administration of PCA increased miR-10b level and inhibited Map3k7 and Btrc mRNA expression as well as inflammation in aortic endothelial cells in Apoe Our current findings suggest that PCA could transfer exosomal miR-10b from efferocytic macrophages to endothelial cells and thus inhibit NF-κB-mediated inflammation in arterial endothelial cells through repressing MAP3K7 and β-TrCP, two new targets of miR-10b. Show less
no PDF DOI: 10.1016/j.phymed.2026.157939
APOE
Yali Yang, Zhenzhong Han, Guowei Li +7 more · 2026 · Bioscience trends · added 2026-04-24
Hereditary Multiple Osteochondromas (HMO) is a rare autosomal dominant skeletal disorder caused by heterozygous loss-of-function mutations in EXT1 or EXT2, which encode glycosyltransferases essential Show more
Hereditary Multiple Osteochondromas (HMO) is a rare autosomal dominant skeletal disorder caused by heterozygous loss-of-function mutations in EXT1 or EXT2, which encode glycosyltransferases essential for heparan sulfate (HS) biosynthesis. Whether haploinsufficiency alone suffices or biallelic inactivation is required for osteochondroma formation remains a central unresolved question. In this study, we employed CRISPR/Cas9 combined with PiggyBac transposon technology to introduce a second pathogenic mutation (c.1883+1G>T) into patient-derived induced pluripotent stem cells (iPSCs) carrying a heterozygous EXT1 c.1126C>T mutation. This approach enabled the generation of isogenic iPSC lines: wild-type (WT), single-mutant (SM), and double-mutant (DM). These iPSCs were differentiated through induced mesenchymal stem cells (iMSCs) into chondrocytes. Biallelic EXT1 mutation in DM cells led to significant upregulation of SOX9, COL2A1, and ACAN, elevated glycosaminoglycan (GAG) levels, and markedly reduced HS, whereas SM cells remained indistinguishable from WT. Three-dimensional (3D) chondrogenic organoid cultures revealed that DM organoids were enlarged and structurally disorganized, partially recapitulating key histopathological features of osteochondromas. Transcriptomic analysis identified the Wnt signaling pathway as the most significantly enriched pathway among differentially expressed genes following EXT1 loss. Collectively, these findings provide direct human cellular evidence that complete EXT1 inactivation-not haploinsufficiency-drives aberrant chondrogenesis, likely through impaired sequestration of morphogen ligands, thereby supporting the Two-hit pathogenic model. Show less
no PDF DOI: 10.5582/bst.2026.01046
EXT1
Xiaochen Qi, Guandu Li, Yuanxin Liu +8 more · 2026 · iScience · Elsevier · added 2026-04-24
Autophagy supports clear cell renal cell carcinoma (ccRCC) progression, yet its upstream regulatory mechanisms remain to be fully defined. Integrating bulk, single-cell, and spatial transcriptomics, w Show more
Autophagy supports clear cell renal cell carcinoma (ccRCC) progression, yet its upstream regulatory mechanisms remain to be fully defined. Integrating bulk, single-cell, and spatial transcriptomics, we identify a regulatory axis wherein the transcription factor ZBED6 activates the expression of the autophagy-initiating kinase PIK3C3 via the repression of IGF2, thereby driving pro-tumorigenic autophagy. Spatial analysis confirms the co-localization of ZBED6 and PIK3C3 in tumor tissues. Using genes associated with this axis, we develop a six-gene prognostic signature that stratifies patients with distinct survival outcomes and differential responses to immunotherapy and targeted therapy. Functional assays show that ZBED6 promotes ccRCC cell proliferation, migration, and invasion. This work elucidates a pathway governing autophagy in ccRCC and provides a framework for prognostic assessment and precision therapy. Show less
no PDF DOI: 10.1016/j.isci.2026.114952
PIK3C3
Yunjung Jin, Kai Chen, Alexander Q Wixom +14 more · 2026 · Acta neuropathologica · Springer · added 2026-04-24
Lewy body dementia (LBD), encompassing dementia with Lewy bodies and Parkinson's disease dementia, is neuropathologically defined by neuronal accumulation of α-synuclein encoded by the SNCA gene. Gene Show more
Lewy body dementia (LBD), encompassing dementia with Lewy bodies and Parkinson's disease dementia, is neuropathologically defined by neuronal accumulation of α-synuclein encoded by the SNCA gene. Genetic risk factors strongly influence LBD susceptibility, including SNCA multiplication, particularly triplication, and the apolipoprotein E ε4 allele (APOE4), the strongest common genetic risk factor for LBD. While SNCA is predominantly expressed in neurons and APOE primarily in glial cells, how these genetic factors converge to impact neuronal vulnerability and regional pathology in the human brain remains poorly understood. Here, we applied spatial transcriptomics to postmortem temporal cortex tissue from LBD cases with SNCA triplication or different APOE genotypes, alongside age- and sex-matched controls, to map gene expression within intact cortical architecture. We identified layer 5 of the gray matter as a particularly vulnerable region, characterized by elevated SNCA expression, pronounced synaptic and metabolic dysregulation, and exacerbation of these alterations in APOE4 carriers. Reelin signaling emerged as a core Lewy body-associated pathway disrupted across cortical layers, validated in independent postmortem cohorts and human-induced pluripotent stem cell (iPSC)-derived cortical organoids. In contrast, white matter exhibited distinct molecular alterations, including disrupted myelination pathways, with APOE4 carriers showing increased myelin debris and glial responses compared with non-carriers. Cell-type deconvolution informed by single-nucleus RNA sequencing further revealed APOE4-associated impairments in neuronal vulnerability and intercellular communication. Together, these findings define spatially and cell-type-specific mechanisms through which SNCA dosage and APOE4 genotype impact LBD pathology, providing insight into regionally distinct disease processes and potential targets for genetically stratified therapeutic interventions. Show less
📄 PDF DOI: 10.1007/s00401-026-02981-z
APOE
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
Ruoyi Ishikawa, Yu Yamazaki, Nayuta Nakazawa +6 more · 2026 · Neurobiology of disease · Elsevier · added 2026-04-24
APOE polymorphisms are major genetic risk factors of Alzheimer's disease (AD). Compared with APOE3/E3, the APOE4/E4 genotype is associated with a > 14-fold increased risk. Therefore, we hypothesized t Show more
APOE polymorphisms are major genetic risk factors of Alzheimer's disease (AD). Compared with APOE3/E3, the APOE4/E4 genotype is associated with a > 14-fold increased risk. Therefore, we hypothesized that conversion of APOE4 to APOE3 would ameliorate AD-related pathologies. Accordingly, we generated a knock-in mouse model harboring an APOE4-FLEx (Flip-Excision) 4-to-3 construct enabling postnatal Cre-mediated APOE4-to-APOE3 switching. This construct comprised an APOE3 exon inserted in a reverse orientation downstream of the APOE4 exon, flanked by alternating loxP and mutant loxP sites, allowing Cre-mediated FLEx switching from APOE4-to-APOE3. For in vitro validation, HEK293T cells were transfected with APOE4-FLEx 4-to-3 plasmid, followed by AAV8-mediated iCre delivery. For in vivo studies, endogenous Apoe was replaced with the APOE4-FLEx 4-to-3 construct to generate APOE4-FLEx 4-to-3 knock-in mice, which were crossed with tamoxifen-inducible Rosa26-CreERT2 mice to yield Cre: APOE4-FLEx 4-to-3 double-knock-in mice. Tamoxifen was administered to induce APOE switching. Cre expression successfully induced APOE4-to-APOE3 switching in vitro. Tamoxifen administration in Cre: APOE4-FLEx 4-to-3 mice triggered APOE4-to-APOE3 switching in the liver, demonstrating the feasibility of postnatal isoform switching. However, brain APOE protein levels were below the detection limit. Investigation of the underlying cause involving transcript analysis revealed aberrant retention of intron 3 (APOE-I3). This abnormal splicing probably contributed to the decreased expression of fully spliced, translation-competent (mature) APOE mRNA, driving the subsequent protein reduction. Although APOE expression across organs in APOE4-FLEx 4-to-3 mice requires further optimization, our findings demonstrate that Cre-mediated FLEx switching can serve as a potential strategy to induce APOE genotype switching in vivo. Show less
no PDF DOI: 10.1016/j.nbd.2025.107244
APOE
Joshua C Rosen, Pinjiang Cao, Nhu-An Pham +13 more · 2026 · British journal of cancer · Nature · added 2026-04-24
KRAS We studied short-term changes in signaling and mechanisms of primary resistance to AZD4625 in twelve KRAS Sustained tumor regression in four (33%) PDXs was observed while the remaining eight mode Show more
KRAS We studied short-term changes in signaling and mechanisms of primary resistance to AZD4625 in twelve KRAS Sustained tumor regression in four (33%) PDXs was observed while the remaining eight models were intrinsically resistant to AZD4625. Organoid responses to AZD4625 were concordant with their derived PDXs. Acute AZD4625 exposure significantly decreased gene expression of the ERK1/2 negative regulator, DUSP6, in all models while protein MAPK and AKT/mTOR signals were downregulated more frequently in the AZD4625-sensitive than AZD4625-resistant cohorts. Analyzing PDX transcriptomes and proteomes identified mTOR signaling as a putative mechanism of primary resistance to AZD4625. Our findings confirm AZD4625 as a highly active KRAS Show less
📄 PDF DOI: 10.1038/s41416-025-03216-w
DUSP6
Xiang Xu, Yuanze Li, Siqi Xiang +3 more · 2026 · Human genomics · BioMed Central · added 2026-04-24
Atherosclerosis (AS) is a chronic vascular disease and the principal cause leading to ischemic cardiomyopathy (ICM). It involves complex metabolic dysregulation beyond the resolution of single-omics. Show more
Atherosclerosis (AS) is a chronic vascular disease and the principal cause leading to ischemic cardiomyopathy (ICM). It involves complex metabolic dysregulation beyond the resolution of single-omics. Emerging evidence implicates arginine-proline metabolism (APM) in driving inflammation and impairing efferocytosis, yet the cellular basis of plaque instability remains elusive. We employed a five-stage analytical framework. First, metabolomic profiling revealed shared pathways between AS and ICM. Second, single-cell RNA sequencing identified APM-enriched macrophage subtypes in both diseases. Pseudotime analysis, Scissor algorithm, and cell-cell communication analyses linked these subtypes to APM signaling, stroke prognosis, and key ligand-receptor interactions. Third, cNMF and unsupervised clustering defined APM-related gene signatures in macrophages, validated by survival analysis. Fourth, spatial transcriptomics confirmed their spatial distribution and colocalization within unstable plaques. Finally, key biomarkers were validated in atherosclerotic lesions using ApoE Metabolomic profiling revealed APM as a shared dysregulated pathway in AS and ICM. We identified a macrophage subset (SPP1⁺ macrophages and mono-macrophages), termed APM_high macrophages, enriched in the fibrous cap and characterized by elevated collagenase activity, heightened inflammation, and disrupted cholesterol homeostasis. Spatial and cell-cell communication analyses revealed strong interactions with dendritic cells via the MIF-(CD74 + CXCR4) axis, potentially contributing to plaque destabilization. Transcriptomic clustering uncovered a high-APM plaque subtype associated with worse ischemic outcomes. Six diagnostic biomarkers were identified through machine learning and validated across multiple cohorts and in ApoE In summary, our study decodes the metabolic basis of inflammation shared between AS and ICM, suggesting an APM_high macrophage-centered regulatory axis across multiple omics layers. This work advances our understanding of the cardio-metabolic axis and suggests new avenues for targeted therapy. Show less
📄 PDF DOI: 10.1186/s40246-025-00869-9
APOE
Yiming Li, Wenxin Zou, Yan Zhang +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global mo Show more
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global morbidity and mortality. While Gualou Huoxue Jiedu Decoction (GHJD) has been widely used in clinical practice for the treatment of AS, the molecular mechanisms remain unclear. To investigate the anti-atherosclerotic effects and underlying mechanisms of GHJD. Apoe GHJD alleviated plaque formation, improved lipid metabolism, and suppressed inflammation in vivo. Multi-omics analysis revealed that DNA methylation of Mfap4 could be a pivotal target of GHJD efficacy. In vitro assays confirmed that GHJD suppressed Mfap4 transcription and translation, leading to downregulation of integrin receptor family expression and inhibition of VSMC phenotypic switching. GHJD exerts anti-atherosclerotic effects through epigenetic modulation of Mfap4 and downstream integrin/FAK signaling pathway, thereby inhibiting VSMC phenotypic switching. These findings provide pharmacological evidence supporting GHJD as a potential therapy for AS and, for the first time, validate MFAP4 as a pharmacological target, offering new insights into AS prevention and treatment. Show less
no PDF DOI: 10.1016/j.phymed.2026.157881
APOE
Shuyue Li, Jianhui Guo, Yaqi Wang +4 more · 2026 · Environmental pollution (Barking, Essex : 1987) · Elsevier · added 2026-04-24
Ambient PM
no PDF DOI: 10.1016/j.envpol.2026.127961
APOE
Feng Su, Shengnan Lu, Yaoyao Zhang +8 more · 2026 · Clinical and experimental pharmacology & physiology · Blackwell Publishing · added 2026-04-24
The presence of a blood-brain barrier (BBB) prevents the delivery of most drugs to the brain. This characteristic limitation poses a major challenge to effective pharmacological treatment for numerous Show more
The presence of a blood-brain barrier (BBB) prevents the delivery of most drugs to the brain. This characteristic limitation poses a major challenge to effective pharmacological treatment for numerous neurodegenerative diseases, particularly Alzheimer's disease. Delivering small interfering RNA (siRNA) via nanoparticles represents a highly promising approach for treating Alzheimer's disease. Nevertheless, developing a safe and efficient siRNA delivery system remains challenging. To enhance brain targeting and therapeutic efficacy, we developed an siRNA nanocarrier system based on PAH-AM-PEG-ApoE (PAPA) nanoparticles (PAPA/siRNA NPs), which facilitates BBB penetration. In this study, an siRNA nanocarrier delivery system modified with ApoE peptide (PAPA/siRNA NPs) developed by our research team was employed to simultaneously encapsulate BACE1-siRNA and GSK3β-siRNA. The PAPA/siRNA NPs were prepared through self-assembly and electrostatic binding. The particle size distribution profile and zeta potential of the PAPA/siRNA NPs were analysed with dynamic light scattering, while its morphology was examined with transmission electron microscopy. For in vitro assessments, flow cytometry, confocal laser scanning microscopy, PCR, and Western blotting were employed to evaluate the cellular uptake, gene silencing capacity, and endosomal escape. The biodistribution was investigated by in vivo imaging technology, and the therapeutic effect on AD was verified in AD model mice. The prepared PAPA/siRNA NPs exhibited a regular spherical appearance with a uniform particle size distribution profile. In in vitro cell experiments, the PAPA/siRNA NPs demonstrated excellent cellular uptake ability and efficient endosomal escape. Meanwhile, the dual-loaded siRNA nanocarrier delivery system effectively inhibited the expression of GSK3β and BACE1 genes. In vivo experimental results showed that the siRNA could successfully cross the BBB and deliver to the brain. It not only significantly prolonged the half-life of siRNA but also greatly reduced the generation of pathological β-amyloid and phosphorylated microtubule-associated protein tau, showing excellent therapeutic effects in the treatment of AD. In this study, we successfully constructed a brain-targeted siRNA nanocarrier delivery system for double-gene knockdown. This system can efficiently overcome the obstacle of the BBB, markedly alleviating cognitive and memory deficits in AD mice. It paves the way for novel strategies in the clinical treatment of AD and is expected to bring new breakthroughs and changes to the conquest of this disease. Show less
no PDF DOI: 10.1111/1440-1681.70108
APOE
Dinuo Xin, Dina Xin, Ying Wang +3 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associ Show more
This study aimed to investigate the current status of career calling among novice nurses, to identify potential subtypes and their population characteristics, and to further explore the factors associated with the different subtypes. A cross-sectional descriptive study was used. From January to February 2024, 845 novice nurses from 11 hospitals in Shanxi Province were selected for an online questionnaire survey using convenience sampling. The demographic questionnaire, transition shock of newly graduated nurses scale, medical staff resilience scale, and career calling scale were used as study instruments. Latent profile analysis (LPA) was used to explore the subtypes of novice nurses' career calling, and multifactorial logistic regression was used to analyze the related factors of novice nurses' career calling. Three subtypes of career calling of novice nurses in this study were identified, namely, lacking-calling group (10.3%), stable-calling group (50.0%), and sufficient-calling group (39.7%). Education, weekly working hours, weekly frequency of night shifts, reasons for choosing nursing, level of transition shock, and level of resilience were significantly associated with the three latent profiles of career calling of novice nurses in this study. Novice nurses' career calling presents 3 latent profiles and is heterogeneous in this study. Nursing administrators could pay attention to the differences in the level of career calling of novice nurses and adopt targeted management strategies based on the type of characteristics of the population in order to improve the level of career calling of novice nurses, help them develop their careers, and stabilize the nursing workforce. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1651190
LPA
Jingran Yang, Fang Ma, Yu Wang +7 more · 2026 · BMC public health · BioMed Central · added 2026-04-24
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, e Show more
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, existing research predominantly measures general family resilience, neglecting heterogeneous resilience patterns and subgroup profiles. Our study uses person-centered Latent Profile Analysis (LPA) to identify latent family resilience classes in Chinese culture to provide tailored support. This study adopted a cross-sectional survey design. From October 2024 to July 2025, convenience sampling was used to recruit 426 eligible parents of children with CHD from two tertiary hospitals in Yunnan Province, China. Data were collected using the General Information Questionnaire, Family Hardiness Index (FHI), Simplified Coping Style Questionnaire (SCSQ), and Social Support Rating Scale (SSRS). LPA was applied to classify the family resilience levels of these parents. Subsequently, univariate and multivariate ordinal logistic regression analyses were conducted to explore the factors associated with different latent classes of family resilience. A total of 400 valid questionnaires were collected, with an effective response rate of 93.9%. The mean total score for family resilience in parents of children with CHD was 58.13 ± 5.79, suggesting a moderate overall level of family resilience in this group. The family resilience of parents of children with CHD was classified into three latent profiles: “High family resilience responsibility-anchored type” ( Parents of children with CHD demonstrate heterogeneity in family resilience. Healthcare professionals should pay attention to the family resilience differences among parents of children with CHD and implement targeted intervention measures based on the characteristics of different subgroups, thereby enhancing parents’ family resilience and further promoting family well-being. The online version contains supplementary material available at 10.1186/s12889-025-26143-0. Show less
📄 PDF DOI: 10.1186/s12889-025-26143-0
LPA
Yajie Zang, Hui Zhang, Zheng Ruan +6 more · 2026 · European neurology · added 2026-04-24
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson' Show more
Brain-derived neurotrophic factor (BDNF) plays an important role in the survival of dopaminergic neurons. Clinical studies have suggested that serum BDNF levels are reduced in patients with Parkinson's disease (PD). However, no study has investigated peripheral BDNF levels and BDNF Val66Met polymorphism in the prodromal stage of PD and their relationship with disease conversion. In total, 120 patients with video-polysomnography confirmed isolated REM sleep behavior disorder (iRBD) and 120 healthy controls (HCs) were enrolled. Genetic analyses were performed, and plasma levels of BDNF were measured. All patients with iRBD underwent comprehensive clinical testing, and 107 iRBD patients were prospectively followed up. Plasma BDNF levels were significantly lower in the iRBD group than in HCs (18,878.85 pg/mL vs. 24,649.85 pg/mL, p = 0.002), but no differences were observed in BDNF Val66Met carrier rates between the two groups. Plasma BDNF levels did not differ significantly between BDNF Val66Met carriers and noncarriers. Notably, higher plasma BDNF levels were associated with an increased risk of short-term disease conversion (hazard ratio = 3.418, 95% CI: 1.520-7.684, p = 0.003), whereas BDNF Val66Met carrier rates showed no such association. Our findings suggest that plasma BDNF is significantly associated with iRBD and may likely serve as a prognostic biomarker for the development of neurodegenerative disease. However, the BDNF Val66Met polymorphism may not be involved in the pathogenesis of iRBD as well as phenoconversion in the studied population. Show less
no PDF DOI: 10.1159/000550711
BDNF bdnf dopaminergic neurons neurotrophic factor parkinson's disease rem sleep behavior disorder val66met polymorphism
Yufei Han, Yixue Zhao, Zihao Zhou +8 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associ Show more
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associated with the incidence of ischemic heart disease (IHD). However, the causal association between ApoC3 and IHD development is unclear. ApoC3 expression changes were assessed in plasma from IHF patients/healthy donors and cardiac tissue from rodent models. 10-week-old male human ApoC3 transgenic (ApoC3 Overexpression of human ApoC3 in ApoC3 ApoC3 overexpression could activate cardiac TLR2/NF-κB to trigger the inflammation, oxidation, and apoptosis pathways, finally aggravating IHF in mice. Inactivation of ApoC3 could significantly alleviate IHF in hamsters. Show less
no PDF DOI: 10.1186/s12916-026-04855-3
APOC3
Ling-Rong Xiao, Si-Jin Liu, Jun-Ru Li +6 more · 2026 · Child: care, health and development · Blackwell Publishing · added 2026-04-24
Families with children diagnosed with autism spectrum disorder (ASD) often encounter significant challenges, manifesting in elevated stress levels and compromised physical and mental well-being. This Show more
Families with children diagnosed with autism spectrum disorder (ASD) often encounter significant challenges, manifesting in elevated stress levels and compromised physical and mental well-being. This study employed Latent Profile Analysis (LPA) to comprehensively examine family resilience attributes among 328 Chinese parents of children with ASD. Drawing on Walsh's family resilience framework and the Double ABCX stress-adaptation model, the research examined how protective factors (social support, posttraumatic growth) and risk factors (family stressors) distinctively characterize resilience profiles and predict profile membership, alongside sociodemographic correlates. Through rigorous statistical analysis, the following three distinct family resilience profiles emerged: adversity (32.31%; characterized by low resilience), ordinary (46.65%; demonstrating moderate resilience) and growth (21.03%; exhibiting high resilience). Critically, the findings revealed that higher family income, perceived social support and posttraumatic growth were associated with higher family resilience, while family stressors were associated with lower family resilience. These insights underscore the importance of developing targeted, personalized intervention strategies that can effectively enhance familial coping mechanisms and psychological adaptation for families navigating the complex challenges of ASD. Show less
no PDF DOI: 10.1111/cch.70222
LPA
Ling Wang, Yujie Liu, Fei Li +4 more · 2026 · Annals of clinical and translational neurology · Wiley · added 2026-04-24
Alzheimer's disease (AD) is characterized by amyloid-beta plaques, tau tangles, and neuroinflammation. C-X3-C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine impl Show more
Alzheimer's disease (AD) is characterized by amyloid-beta plaques, tau tangles, and neuroinflammation. C-X3-C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies. Specifically examining age-dependency and diagnostic utility, we investigated plasma CX3CL1 levels across the cognitive continuum (cognitively normal [CN], amnestic mild cognitive impairment [aMCI], AD) in a Chinese cohort. A total of 443 participants, including 130 patients with AD, 72 patients with aMCI, and 99 age-and sex-matched CN controls, as well as a cohort of 142 CN subjects of different ages, were enrolled from Chongqing General Hospital. Plasma CX3CL1 levels were determined using Enzyme-Linked Immunosorbent Assay (ELISA). Apolipoprotein E genotypes (APOE) were performed. The correlations between Plasma CX3CL1 levels and cognition test scores or age were analyzed. The optimal diagnostic sensitivity and specificity were determined using receiver operating characteristic curve analysis. Plasma CX3CL1 levels significantly increased with age in CN individuals. No significant sex difference was found. Plasma CX3CL1 levels did not differ significantly between APOE ε4 carriers and non-carriers. Stepwise elevation across continuum: CX3CL1 levels showed a significant stepwise increase: CN controls (1.73 ± 0.51 ng/mL) < aMCI (2.40 ± 1.06 ng/mL) < AD (4.15 ± 1.24 ng/mL) (p < 0.001 between all groups). This pattern persisted in both male and female subgroups, between the AD group and the aMCI group, between the AD group and the CN control group (p < 0.001), between the aMCI group and the CN control group, and between the male and female subgroups (p < 0.05). CX3CL1 levels negatively correlated with Mini-Mental State Examination (MMSE) scores and positively correlated with age. Plasma CX3CL1 levels exhibit a significant age-dependent increase in cognitively normal individuals, peak in midlife (40-49 years), and demonstrate a stepwise elevation across the AD continuum (CN → aMCI → AD). Strong inverse correlations with cognitive scores in disease groups and high diagnostic accuracy for AD, particularly against CN, support its role as a biomarker reflecting both physiological aging and AD-related pathological decline. Its regulation appears independent of APOE ε4 status. The midlife peak suggests potential relevance for preclinical processes, warranting further investigation of CX3CL1 as a biomarker and therapeutic target. Show less
no PDF DOI: 10.1002/acn3.70320
APOE