👤 Yu-Lin Li

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Also published as: Xiaofeng Li, Jiajia Li, Jingwen Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Zequn Li, Yulin Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Hang Li, Rongqing Li, Ziming 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, K-L Li, Xinjia Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, Peilin Li, X Y Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Guanglve Li, Z Li, Ye 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, Kailong Li, Qiankun Li, Shengxu Li, Shisheng Li, Sai Li, Guangwen Li, Xiuli Li, Hua Li, Dongmei Li, Yulong Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Xuelin Li, Fa-Hui Li, Caiyu Li, Zhen-Yuan Li, Xueyang Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Chen-Xi Li, Mingxu Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin Li, Linke Li, C Y Li, Shuaicheng Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, 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, Yongli Li, Z-H Li, Hujie Li, Baohong Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Wen-juan Li, Hualing Li, Sibing Li, Xining Li, Qinghe Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Huanan Li, Liqin Li, Jingya Li, Youjun Li, Zheng-Dao Li, Zhenshu Li, Miao X Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Wenbo Li, Runwen Li, Side Li, Yarong Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Chuan-Hai Li, Lingxi Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Qin Li, Zhongyu Li, Deyu Li, Zhen-Yu Li, Annie Li, Hansen Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Qintong Li, Xiao Li, Junping Li, PeiQi Li, Xiaobing Li, Naishi Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Ruonan Li, Cui-lan Li, Jun-Jie Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Tianjun Li, Desen Li, Yansong Li, Xiying Li, 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, Aimin Li, Dongbiao Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Yuancong Li, Da Li, Yuxiu Li, YiPing Li, Tian Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Changhong Li, Ze-An Li, Jianmin Li, Yvonne Li, Yu Li, Minhui Li, Yiwei Li, Xiangzhe Li, Jiayuan Li, Zhichao Li, Siguang Li, Minglun Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chiyang Li, Chunlan Li, Hulun Li, Juan-Juan Li, 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, Zhuo Li, Hong-Wen Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Huaiyuan Li, Dongnan Li, Rui-Fang Li, Jianzhong Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Pei-Ying Li, Bing Li, Huihuang Li, Shaobin Li, Yunmin Li, Yanying Li, Ronald Li, Gui Lin Li, Chenrui Li, Shilun Li, Shi-Hong Li, Xinyu Li, John Zhong Li, Song-Chao Li, Lujiao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Yan-Yan Li, Liwei Li, Huijun Li, Chengjian Li, Chengyun Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Jialing Li, Zu-Ling Li, Yunjiu Li, Xin Li, Zonghong Li, Dayong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chunxia Li, Chaochen Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Yali Li, Zhaoshui Li, Yu-Hui Li, Wenjing Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Zengyang Li, Mangmang Li, Kaiyuan 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, Xia Li, Meitao Li, Huayao Li, Ziqiang Li, Wen-Xi Li, Shenghao Li, Huixue Li, Jiqing Li, Boxuan Li, Hehua Li, Yucheng Li, Yongqi Li, Qingyuan Li, Fengqi Li, Zhigang Li, Yuqing Li, Guiyang Li, Guo-Qiang Li, Dujuan Li, Yanbo Li, Yuying Li, Shaofei Li, Sanqiang Li, Shaoguang Li, Hongyu Li, Min-Rui Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Ganggang Li, Jinxin Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Mengxia Li, Jutang Li, Conglin Li, Qingli Li, Yongxiang Li, Miao Li, Songlin Li, Qilong Li, Dijie Li, Chenyu Li, Yizhe Li, Ke Li, Yan Bing Li, Jiani Li, Lianjian Li, Yiliang Li, Zhen-Hua 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, Junxu Li, Xiangjun Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Yuxi Li, Qingyang Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Cheung Li, Zhenhui Li, Zhenming Li, Xuelian Li, Chunjun Li, Shu-Fen Li, Changyan Li, Mulin Jun Li, Yinghua Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Chaoying Li, Siyu Li, Juanjuan Li, Qiu Li, Guangzhen Li, Xiangyan Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Jifang Li, Zhenjia Li, Manjiang Li, Wan Li, Zhizhong Li, Ding Yang Li, Xiao-Li Li, Xiaoya 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, Yumao Li, Bin-Kui Li, Yuqiu Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Hongyi Li, Xiang-Jun Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Xiancheng Li, Man-Zhi Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei Li, Minle Li, Meifen Li, Le-Le Li, Yifeng Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Chanjuan Li, Nan-Nan Li, Lan-Lan Li, Hongming Li, Shuang Li, Yanchuan Li, Lingyi Li, Wanting Li, Bai-Qiang Li, Gong-Hua Li, Zhengyu Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Weiguang Li, Mingyao Li, Guoqing Li, Ze Li, Xiaomeng Li, R H L Li, Yuanze Li, Yunqi Li, Yuandong Li, Guisen Li, Jinglin Li, Dongyang Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Dingshan Li, Yinggao Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Cheng-Tian Li, Jin-Jiang Li, Zhi-Xing Li, Chang Li, Yaxi Li, Ming-Han Li, Wei-Ming Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong Li, Jiwei Li, Chun-Quan Li, Yongzhen Li, Weifeng Li, Tao Li, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Tian-wang Li, Lixiang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, Xiaoqiong Li, You Ran Li, Guanyu Li, Yixiao Li, Jinlan Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Xuri Li, Wenzhuo 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, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Anqi Li, Bingsong Li, Ting Li, Xiaoju Li, Zhenyu Li, Xiaonan Li, Duan Li, Xiang-Yu Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Xunjia Li, Yanchang Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Hongxue Li, Bingjie Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, En-Min Li, Chunya Li, Zong-Xue 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, 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, Junjie Li, Fei-Lin Li, Nuomin Li, Shulin Li, Shanglai Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, Jun-Ru Li, Zhongcai Li, Xueying Li, JunBo Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Haihua Li, Linxin Li, Jen-Ming Li, Tsai-Kun Li, Shujing Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Rulin Li, Ya-Pei Li, Huifeng Li, Shihong Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Shuangshuang Li, Long Li, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Xiao-Qiang Li, Danni Li, Yangxue Li, Chengnan Li, Chuanyin Li, Min Li, Zhenzhou Li, Pengyang Li, Yiqiang 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, 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, Long Shan Li, Suping Li, Yanze Li, Jason Li, Xiao-Feng Li, Fengjuan Li, Monica M 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, Kang Li, Peilong Li, Hongmei 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, Yijie Li, Weiguo Li, Xue-Nan Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Sheng-Tien Li, Yazhou Li, Shihao Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, 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, Da-Hong Li, J T 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, Menghua Li, Jingqi Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Chong Li, Xiao-Kang Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zhuorong Li, Zizhuo Li, X-H Li, Lan-Juan Li, Dong Sheng Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Huanqiu Li, Bing-Heng Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Jinhui Li, Zhifei Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Changgui Li, Zhisheng Li, Cuiling Li, Xuekun Li, Yuguang Li, Wenke Li, Jiayi Li, Jianguo 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, Mingjiang Li, Youwei Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Zongyu Li, Luquan Li, Jianyong Li, Guoxing Li, Shujie Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Xiao-Tong Li, Lingjie Li, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Xiao-Qin Li, Liyan Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Minzhe Li, Wenfeng Li, Jiajing Li, Karen Li, Yanlin Li, Liao-Yuan Li, X 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, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinghua Li, Qinqin Li, Lipeng Li, Leilei Li, Defu Li, Ranchang Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Shunhua Li, Yu-I Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Tianjiao Li, Ziqi Li, Shen Li, Shufen Li, Yunfeng Li, Gui-Rong Li, Yueqi Li, Yunpeng Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, 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, Cong Li, Yinghui Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, G Li, Lianbing Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Hanqin Li, Xiong Bing Li, Qingjie Li, Wen Lan Li, Han Li, Guoge Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Michelle Li, Caolong Li, Chaojie Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Peipei Li, Guangdi Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Tiansen Li, Zheyun Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang 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, 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, Guoxi Li, Xudong 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, 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, Shun Li, Hui-Jun Li, Guojun Li, Xuefei Li, Senlin Li, Hung Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Hongzhe K Li, 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, Haixia Li, Wenfang Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Daoyuan Li, Baichuan Li, Wenqi Li, Haibo Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, 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, Yingqin Li, Yuanfang Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Caihong Li, Hongmin Li, Yajing Li, Peng Peng Li, Kenli Li, Guanglu 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, Dazhi Li, Chenglan Li, Yubin Li, Beixu Li, Yuhong Li, Guiyuan Li, Di Li, Fengqiao Li, Yanbing Li, Suk-Yee Li, Yuanyuan Li, Shengjie Li, Jufang Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Minghua Li, Xiyue Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, 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, Jiong Li, Lai K Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Yongsheng Li, Xiujuan Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Wendeng Li, Ding Li, Yuling 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, Yushan Li, Ping'an 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, Jinfeng Li, Wen Li, Shiheng Li, Yu-Kun Li, Hsiao-Fen Li, Jiangan Li, Weihai Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Chia-Yang Li, Tianxiang Li, Wenyu Li, Meng-Meng Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Sherly X Li, Zechuan Li, Zhijun Li, Jiazhou Li, Ya-Ge Li, Wanling Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Lixia Li, Zhiwei Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Huijie Li, Zhongwen Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Shunwang Li, Nana Li, Yaqing Li, Chao Li, Bingsheng Li, Yaqiao Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Xiaowei Li, Tianyao Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Chumei Li, Zhixiong Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, 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, Qihua Li, Zhengyao Li, Jin-Qiu 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, Shuangxiu Li, Yongjin Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Jianrong Li, Baoguo Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Desheng Li, Weike Li, Zhixuan Li, Long-Yan Li, Chuanbao Li, Fuyu Li, Chuzhong Li, M D Li, Lingzhi Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Ling-Zhi Li, Hengtong Li, Yifan Li, Ya-Li Li, Xiao-Sa Li, Songyun Li, Xiaoran Li, Bolun Li, Kunlin Li, Linchuan Li, Jiachen Li, Haibin Li, Shu-Qi Li, Zehua Li, Huangbao Li, Guo-Chun Li, Xinli Li, Mengyuan Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Dehai Li, Wensheng Li, Jiannan Li, Qingshang Li, Guanbin Li, Hanbin Li, Zhiyi Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, 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, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Yuemei Li, Yanli Li, Zhi-Yuan Li, Hai 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, 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, Zijian Li, Jixuan Li, Yanqing 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, 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, Qun Li, Dongye Li, Tianye 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, Tiewei Li, Bing-Hui Li, Rong-Bing Li, Daniel Tian Li, Jingyong Li, Honggang Li, Shikang Li, Rong Li, Wei-Yang 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, Hong-Lian Li, Shishi Li, Bei-Bei Li, Xiumei Li, Haitong 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, Gui-xing Li, Yu-Hao Li, Shunle Li, Shilin Li, Niu Li, Siyue Li, Diyan Li, Mengyao Li, Shili Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Meiqing Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Zonglin Li, Yinhao 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, Junhong Li, Youchen Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, L P Li, Xiaoqin Li, Chunmei Li, Runbing Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Ji-Cheng Li, Jingyi Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Haiyu Li, Huijuan Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Kainan Li, Guohui Li, Yongzhe Li, Qingfeng Li, Tianyi Li, Xiaoyan Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Yuanchuang Li, Biao Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Qing-Chang Li, Hongliang Li, Hong-Yan Li, Shengbiao Li, Yue-Rui Li, Ruidong Li, Dalei Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Xiaomin Li, Sijie Li, Dengxiong 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, Wenqun Li, Dongtao Li, Fengyuan Li, Guixia Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Xixi Li, Bingjue Li, Binghu Li, Yan-Chun Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Shuhui Li, Jia-Ru Li, Shu-Hong Li, Pei-Qin Li, Chun-Xiao Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Dali Li, Yaxian Li, Duo Li, Zhiming Li, Xuemei Li, Hongxia Li, Xueting Li, Yongting 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, Zhijia Li, Zhipeng Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaoting Li, Xiaobo Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Xiao-Yao Li, Weirong Li, Kun-Ping 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, Yingjun Li, Xiufeng Li, Yanxin Li, Xiaohuan Li, Ying-Qin Li, Boya Li, Lamei Li, O Li, Fan Li, Jun Z Li, Suheng Li, Joyce Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Zhiqiang Li, Junru Li, Hecheng Li, Jiangchao Li, Changkai Li, Yueping Li, Haifeng 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, Yirun Li, Chunying Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, Zhengliang Li, YiQing Li, Han-Ru Li, Wei-Qin Li, Weijie Li, Sheng Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, Jianbin Li, Chanyuan Li, Shiying Li, Jianxiong Li, Huaying Li, Ji Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Zhongzhe Li, Xiang Li, Yumei Li, Xiang-Ping Li, Chaonan Li, Wenqiang Li, Yu-Chia Li, Pei-Shan Li, Zaibo Li, Shaomin Li, Heying Li, Guangming Li, Xuan-Ling Li, Yuxuan Li, Bingshan Li, Xiaoqiang Li, Hanxiao Li, Jiahao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Xiaomei Li, Ruijin Li, Pengjie Li
articles
Yixuan Yuan, Yujie Xiao, Jie Zou +15 more · 2026 · Nature communications · Nature · added 2026-04-24
Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a Show more
Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a key mediator of fibroblast phenotypic remodeling via monocarboxylate transporter 1 (MCT1)-mediated histone H3 lysine 23 lactylation (H3K23la) in HS. Elevated lactate levels and MCT1 expression were observed in HS tissues, with macrophages in stiff mechanical microenvironments identified as the primary lactate source. Lactate influx through MCT1 upregulated H3K23la, thereby promoting transcriptional activation of profibrotic genes HEY2 and COL11A1. Mechanistically, HEY2 activated YAP1/SMAD2 signaling, while COL11A1 stabilized MCT1 to enhance lactate transport, forming a positive loop that amplified fibrosis. Fibroblast-specific Mct1 deletion or pharmacological inhibition of Mct1 in male mice reduced collagen deposition, accelerated wound healing, and attenuated scar formation. Our findings redefine the macrophage-fibroblast crosstalk in HS and establish the MCT1-H3K23la-HEY2/COL11A1 axis, particularly its self-reinforcing loop, as a novel therapeutic target. Show less
📄 PDF DOI: 10.1038/s41467-026-69388-y
HEY2
Haoyang Sun, Zhaoxu Lu, Jin Guo +10 more · 2026 · Child: care, health and development · Blackwell Publishing · added 2026-04-24
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24 Show more
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24-h movement behaviours (sleep, sedentary behaviour [SB], light physical activity [LPA] and moderate-to-vigorous physical activity [MVPA]) relate to speed capability. Via compositional data analysis and isotemporal substitution modelling, we assessed relationships between 24-h movement behaviours (sleep, SB, LPA and MVPA) and speed capability in 275 preschoolers (mean age 4.98 ± 0.76 years). Participants completed 20-m sprint tests and 7-day accelerometry. Time-reallocation effects were quantified through pairwise behavioural substitutions (5- to 30-min durations), with all models adjusted for age, sex and BMI z scores (z-BMI). Higher relative MVPA time significantly predicted faster sprint times (β = -1.302, p < 0.001), while higher LPA predicted slower times (β = 1.570, p = 0.003). Reallocating 15 min from sleep, SB or LPA to MVPA reduced sprint times by 0.176, 0.201 and 0.385 s, respectively (all p < 0.05). Conversely, reallocating MVPA to other behaviours worsened performance. The effects exhibited asymmetry: displacing time away from MVPA impaired speed capability to a greater extent than equivalent gains in MVPA time improved it. MVPA is the strongest positive predictor of speed capability in preschoolers. Optimizing 24-h movement patterns by reallocating time from LPA or SB to MVPA is associated with enhanced speed performance, supporting targeted interventions for early childhood development. Show less
no PDF DOI: 10.1111/cch.70218
LPA
Wei Wang, Jianrong Ren, Jing Li +11 more · 2026 · Science China. Life sciences · Springer · added 2026-04-24
Volatile fatty acids (VFAs) provide more than 70% of the energy source for the ruminants. Understanding the host-microbiota regulation of VFAs production and utilization is highly important for optimi Show more
Volatile fatty acids (VFAs) provide more than 70% of the energy source for the ruminants. Understanding the host-microbiota regulation of VFAs production and utilization is highly important for optimizing the feed energy utilization efficiency of ruminants. Here, we conducted whole-genome resequencing, rumen transcriptome sequencing, 16S rRNA gene amplicon sequencing, and VFA concentration determination in 530 Holstein bulls. We treated VFA concentrations as complex traits to perform multi-omics association analyses. The host genetics, rumen microbiota, and rumen expressed genes, on average, explained 23%, 58%, and 61% of the variations in VFAs with the same diet, respectively. We found that the rumen microbial composition and community structure differed significantly between the high and low VFA individuals. We further identified 11 microbes with potential causal relationships with rumen VFAs via the Mendelian randomization method, among which Bacteroidales_RF16_group, Prevotella, Clostridia_UCG-014, and [Eubacterium]_ventriosum_group were positively correlated with acetic acid, propionic acid, and butyric acid. Conversely, rumen epithelial genes involved in fatty acid β-oxidation (e.g., HSD17B4, ACADVL, ACADL, CPT1A, and ANGPTL4) were negatively correlated with the main VFAs and VFA-producing bacteria. These candidate microbes and genes suggest that the host-microbe coregulating mechanism facilitates the efficient production and utilization of rumen VFAs in ruminants. Our study provides a comprehensive perspective on the complex dynamic regulatory patterns of rumen VFAs, highlighting the crucial role of host-microbe interactions in optimizing the feed utilization of ruminants. Show less
📄 PDF DOI: 10.1007/s11427-025-3206-7
ANGPTL4
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
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
Xiaoxiao Li, Yanyan Jiao, Zhongqiang Guo +4 more · 2026 · Acta psychologica · Elsevier · added 2026-04-24
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through c Show more
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through convenience sampling, 260 breast cancer chemotherapy patients aged 18-74 years from a tertiary hospital in Henan Province were recruited between May 2024 and January 2025. Data were collected using a general demographic questionnaire, the Learned Helplessness Scale, the Brief Illness Perception Questionnaire, the Social Support Rating Scale, and the General Self-Efficacy Scale. An LPA was applied to classify learned helplessness patterns, followed by a multivariate logistic regression to determine the influencing factors. The latent profile analysis revealed three distinct profiles of learned helplessness among breast cancer patients undergoing chemotherapy: a "low helplessness-low hopelessness stable profile" (17.0%), a "moderate helplessness-moderate hopelessness fluctuating profile" (52.0%), and a "high helplessness-high hopelessness profile" (31.0%). The multivariable logistic regression revealed that age range 18-44 years, low monthly household income per capita, fatigue, and illness perception were significantly associated with the "high helplessness-high hopelessness profile" (P < 0.05). Conversely, the age range 45-59 years was significantly associated with the "moderate helplessness-moderate hopelessness fluctuating profile" (P < 0.001). Furthermore, experiencing ≤2 chemotherapy-related side effects, a higher level of perceived social support, and greater self-efficacy were significant predictors of membership in the "low helplessness-low hopelessness profile" (P < 0.05). Breast cancer chemotherapy patients were categorized into three distinct subgroups, which were influenced by age, income, fatigue, treatment side effects, illness perception, self-efficacy, and social support. Show less
no PDF DOI: 10.1016/j.actpsy.2026.106392
LPA
Mengshi Li, Yang Li, Lei Jiang +7 more · 2026 · Chinese medical journal · added 2026-04-24
📄 PDF DOI: 10.1097/CM9.0000000000003978
APOE
Yali Jiang, Chunyi Wang, Yangfan Hu +4 more · 2026 · Nursing in critical care · Blackwell Publishing · added 2026-04-24
Studies of surrogate decision-makers (SDMs) in the intensive care unit (ICU) often report high average levels of family decision-making self-efficacy (FDMSE). However, these findings contrast with the Show more
Studies of surrogate decision-makers (SDMs) in the intensive care unit (ICU) often report high average levels of family decision-making self-efficacy (FDMSE). However, these findings contrast with the significant decision conflict commonly observed in clinical practice. This discrepancy suggests that high aggregate FDMSE scores may mask underlying subgroups with distinct experiences. Identifying these latent profiles is essential for understanding the true experiences of ICU SDMs. This study aimed to identify distinct latent profiles of FDMSE among ICU SDMs and explore key influencing factors. A cross-sectional study was conducted among SDMs of ICU patients. Exploratory and confirmatory factor analysis (EFA/CFA) was performed to examine the factor structure of the Chinese FDMSE scale. The verified factor structure was then used for latent profile analysis (LPA). Lastly, univariate and multivariate analyses were performed to identify the main influencing factors. A total of 350 ICU SDMs were included in the analysis. The three-factor model, including treatment decision-making, comfort promotion decision-making, and facing death decision-making, provided a good fit for the Chinese FDMSE scale. Two profiles emerged: 'weak family decision-making self-efficacy', accounting for 55.9% of cases, and 'strong family decision-making self-efficacy', represented by the remaining 44.1%. The 'strong family decision-making self-efficacy' group was more likely to be observed in families where the patients held religious beliefs and were diagnosed with cancer, and where the family decision-makers held religious beliefs, had higher incomes, and had engaged in prior discussions about treatment preferences. This study verified the multi-dimensionality and heterogeneity of the FDMSE of ICU SDMs through EFA, CFA and LPA. The identification of a subgroup with low FDMSE differs from previous studies. Key modifiable factors include socio-economic resources, prior communication of the patients' preferences, and spiritual and cultural background, which serve as crucial levers for strengthening the decision-support framework in critical care settings. By identifying two distinct FDMSE profiles and key influencing factors, it offers critical care nurses a new perspective to design targeted interventions, thereby enhancing their ability to provide personalised decision support. Critical care nurses should receive structured end-of-life communication training to address the shared vulnerability of ICU SDMs in facing death decision-making self-efficacy across both profiles. Show less
no PDF DOI: 10.1111/nicc.70398
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
Ali Hassan Nawaz, Qiqian Cui, Jiqiang Ding +10 more · 2026 · Poultry science · Elsevier · added 2026-04-24
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanis Show more
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanisms of thermotolerance remain poorly understood. This study integrated genome-wide selective scans across 14 geographically and climatically diverse chicken breeds with multi-tissue expression data, gene expression quantitative trait locus (eQTL) analysis, transcriptome-wide association study (TWAS), and cross-species phenome-wide association study (PheWAS) to validate candidate genes. We identified 25 high-confidence genes under selection, with ATP1A1, PLCB4, RYR2 and AKT3 forming a regulatory hub coordinating cardiovascular, calcium and survival signaling. These genes converge on interconnected adrenergic, calcium, and GnRH signaling pathways, with coordinated expression across heart, hypothalamus, and liver forming an integrated thermoregulatory axis. The eQTL integration analysis using ChickenGTEx data identified 359 tissue-specific cis-eQTLs in selected regions. Additionally, TWAS analysis linked ATP1A1 to 145 gene-trait associations across 13 tissues and 14 trait categories (hepatic regulation, β = -2.13, p = 4.21 × 10⁻¹²), and cross-species PheWAS validated conserved roles in cardiovascular function (RYR2, resting heart rate p = 4.9 × 10⁻¹²), and ionic homeostasis (ATP1A1, chloride p = 1.18 × 10⁻³). In parallel, we also identified robust genomic signatures of domestication in classic candidate genes (TSHR, TBC1D1, BDNF), highlighting how initial separation from Red Jungle Fowl and subsequent adaptation to diverse climates have shaped the genetic and physiological diversity of the domesticated chicken. Collectively, our results reveal an integrated cardio-neuroendocrine calcium network driving heat adaptation, providing potential targets for breeding heat-tolerant chickens. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106744
BDNF
Tingting Peng, Huijuan Lin, Xiaoli Zeng +16 more · 2026 · Stem cell reviews and reports · Springer · added 2026-04-24
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study dem Show more
Cerebral palsy (CP), the most prevalent pediatric motor disorder with significant cognitive comorbidity (> 50%), lacks therapies addressing both impairments in moderate-to-severe cases. This study demonstrates that human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-Exos) exert profound therapeutic effects in a rat model of moderate-to-severe CP established via bilateral carotid artery occlusion with hypoxia. Intravenously administered hUCMSC-Exos displayed sustained brain retention and significantly restored motor coordination and cognitive function. The recovery was primarily mediated through enhanced remyelination driven by promoted oligodendrocyte maturation and differentiation (elevated oligodendrocyte lineage transcription factor 2 and myelin basic protein). Concurrently, the treatment attenuated key pathological processes involving sustained neuroinflammatory responses (reduced ionized calcium-binding adapter molecule 1, tumor necrosis factor-α, and interleukin-6) while elevating brain-derived neurotrophic factor. Our findings establish hUCMSC-Exos as a promising dual-modality therapy for moderate-to-severe CP, mechanistically linked to robust remyelination and coordinated modulation of core disease mechanisms. Show less
no PDF DOI: 10.1007/s12015-026-11072-1
BDNF cerebral palsy exosomes mesenchymal stem cells neurological disorders neuroscience pediatric motor disorder stem cells
Cheng Huang, Haowen Liu, Bao Jiang +6 more · 2026 · Bioelectrochemistry (Amsterdam, Netherlands) · Elsevier · added 2026-04-24
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high m Show more
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high miss rates. This study innovatively proposes using urinary hydrogen peroxide (H Show less
no PDF DOI: 10.1016/j.bioelechem.2025.109173
DYM
Yuejia Ma, Yanxi Li, Guangrun Wu +10 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, d Show more
Alzheimer' s disease (AD) is a progressive neurodegenerative disorder characterized by a spectrum of cognitive impairments, ranging from mild memory loss to severe cognitive decline and, ultimately, death. The global incidence of AD is projected to increase significantly, with late-onset AD being predominantly sporadic in nature. Over the past three decades, the Apolipoprotein E (APOE) gene has been recognized as the most important single genetic determinant of sporadic AD risk. The APOE4 allele is a major risk factor for AD and is known to exacerbate the pathological process for AD. Identifying protective variants that may reduce the risk or delay the onset of AD is of great significance for the development of effective treatments. This review comprehensively examines the protective effects of APOE and its related protective mutations. It also explores the impact of these unique protective variants at the cellular level during the pathological progression of AD. Furthermore, the review compiles new insights for AD treatment offered by these protective mutations, exploring the potential applications of APOE and its related protective variants in advanced therapeutic strategies, including gene editing, RNA editing, and stem cell therapy. Show less
📄 PDF DOI: 10.1038/s41380-026-03496-5
APOE
Mei Li, Zeqing Xu, Jiarui Zeng +6 more · 2026 · International journal of medical microbiology : IJMM · Elsevier · added 2026-04-24
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key g Show more
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key genes in Koi Carp responding to S. aureus from human rhinitis remain unclear. In this study, we established an intraperitoneal infection model in koi carp (Cyprinus carpio) using an S. aureus isolate from patients with rhinitis and integrated RNA-seq, qPCR, and ELISA to dissect the host response. Our findings reveal a dual-module immune evasion strategy employed by S. aureus in koi carp. Module I: The pathogen down-regulated the entire complement coagulation cascade (C3, C9, CFH, F7/9/10) and apolipoprotein-mediated opsonins (APOA1, APOB, APOC1/2), thereby crippling innate clearance. Module II: The host mounted a restricted but potent counter-response, characterized by type I IFN signalling (gvin1, MHC-I), NK/T-cell co-stimulation (CD244, SLAMF5), and the selective induction of IL-8 and IL-1β, while IL-6, IL-10, and TNF-α remained unchanged. Functionally, serum superoxide dismutase (SOD), catalase (CAT), and lysozyme (LZM) activities surged, confirming an oxidative burst, whereas splenic CD22R protein decreased, indicating B-cell disinhibition. These results establish a molecular basis for understanding the interaction between human-derived S. aureus and the immune system of aquatic organisms. Show less
no PDF DOI: 10.1016/j.ijmm.2026.151707
APOB
Yibo Zhang, Longying Tian, Ying Zhang +2 more · 2026 · BMC nursing · BioMed Central · added 2026-04-24
Patient safety competency (PSC) is a core element of nursing practice, essential for ensuring high-quality and safe patient care. Newly recruited nurses often face challenges such as transition shock, Show more
Patient safety competency (PSC) is a core element of nursing practice, essential for ensuring high-quality and safe patient care. Newly recruited nurses often face challenges such as transition shock, limited clinical experience, and fragmented safety education, which may hinder their ability to maintain patient safety. Most studies have assessed PSC using total scale scores, overlooking internal heterogeneity within this group. This study aimed to identify latent profiles of PSC among newly recruited nurses and explore the influencing factors to provide evidence for targeted competency development and management strategies. From July to August 2023, a convenience sample of newly recruited nurses was obtained from seven tertiary grade-A hospitals in Shandong Province, China. Data were collected using the General Information Questionnaire, the Transition Shock Scale of Newly Graduated Nurses, the Nurses' Perception of Organizational Support Scale, and the Patient Safety Nurse Competency Evaluation Scale. Latent Profile Analysis (LPA) was conducted to identify the potential subgroups of patient safety competency among newly recruited nurses. Univariate analysis and multivariate logistic regression were performed to examine the influencing factors associated with different latent profile categories. The patient safety competency of newly recruited nurses was categorized into 3 potential profiles: "high safety competency group" (36.9%), "medium safety competency group" (49.4%), and "low safety competency group" (13.7%). The results of the logistic regression analysis revealed that education level, average number of night shifts per week, participation in safety training, involvement in patient safety-related projects, transition shock, and perceived organizational support were significant predictors of patient safety competency among newly recruited nurses (P < 0.05). This study identified three distinct latent profiles of patient safety competency among newly recruited nurses, revealing a moderate overall competency level with notable heterogeneity. Nursing managers should pay particular attention to nurses with moderate and low competency levels and implement targeted, evidence-based interventions to strengthen their patient safety competency and promote safer clinical practice. Not applicable. Show less
no PDF DOI: 10.1186/s12912-026-04494-2
LPA
Ming Chen, Yuchi Zhang, Jingying Xu +7 more · 2026 · Biophysical chemistry · Elsevier · added 2026-04-24
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform Show more
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform (MDQIP) that uses a model to objectively calculate and rank compound activities, addressing the limitations of traditional "experience-driven" evaluations, accelerates the screening and evaluation of potential AChE inhibitors from Red Gastrodia elata, offering a more efficient approach to drug discovery. Ultrafiltration-LC screening identified parishin A as having the most stable binding, with binding degree and recovery rates of 98.85% and 99.39%, respectively. Molecular docking revealed that parishins A and C were the strongest AChE inhibitors, exhibiting stable binding through hydrogen bonds, π-alkyl, and π-π interactions. Molecular dynamics simulations confirmed the stability of these compounds, with binding energies of -82.65 ± 4.24 and - 80.69 ± 4.19 kcal/mol. Enzyme kinetics showed that parishins A and C are mixed-type inhibitors, with IC Show less
no PDF DOI: 10.1016/j.bpc.2026.107617
BACE1
Yongliang Wang, Jian Zhang, Jinsheng Liu +3 more · 2026 · International journal of general medicine · added 2026-04-24
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the da Show more
Validate the clinical utility of exosome cargo (miRNAs/proteins) and NLRP3/BDNF as key regulatory molecules for acupuncture-mediated spinal cord injury (SCI) recovery. From the establishment of the database to May 2025, a literature search was conducted on PubMed, and Embase, using keywords ["exosome cargo" or "exosome"], ["acupuncture" or "acupuncture and moxibustion" or "electroacupuncture" or "EA"], ["spinal cord injury" or "SCI"], ["immune regulation"], ["inflammatory reaction"], ["neuroregeneration" or "nerve"]. Including peer-reviewed studies on human/animal models, articles that do not meet the requirements are excluded. Preclinically, MSC-exosomal miR-145-5p suppressed TLR4/NF-κB signaling, reducing spinal IL-1β by 47% in SD rats. Schwann cell-exosomal MFG-E8 activated SOCS3/STAT3, increasing M2 macrophage CD206 by 63% and raising rat BBB scores by 3.8 points; Treg-exosomal miR-2861 upregulated tight junction proteins (occludin/ZO-1) to repair the blood-spinal cord barrier. Acupuncture (EA at GV14/GV4) upregulated spinal BDNF by 72% and NGF by 58% via Wnt/β-catenin, while EA at GV6/GV9 downregulated NLRP3 by 42-58% and TNF-α by 35-47%. Clinically, EA at EX-B2 increased ASIA scores by 3.2±1.1 points (Guo et al). Besides, 5x/week EA improved ASIA vs 3x/week (+6.4 points). EA+exercise reduced MAS by 1.6-2.9 points, with outcomes correlated to peripheral NLRP3 reduction, BDNF elevation, and MBI/WISCIII increases. Exosome cargo (miR-145-5p/MFG-E8) and NLRP3/BDNF are key regulatory molecules underlying acupuncture-mediated SCI recovery. However, limitations (small RCT samples, heterogeneous acupuncture protocols, unstandardized exosome isolation) hinder translation. Future work should focus on standardized biomarker detection, exosome engineering, and large-scale clinical trials. Show less
📄 PDF DOI: 10.2147/IJGM.S595567
BDNF
Xinjing Yang, Bingcong Zhao, Jing Li +7 more · 2026 · Journal of traditional and complementary medicine · Elsevier · added 2026-04-24
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. T Show more
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. This study aimed to observe the mechanism of EA as an adjunct therapy to escitalopram oxalate (EO) on depressed patients. This study was designed as a single-blinded, double-dummy randomized controlled trial. 61 participants were diagnosed with mild-to-moderate depression according to the International Classification of Diseases 10th Edition (ICD-10, F32) were randomly allocated to receive EA + EO placebo, EO + sham EA, or EA + EO for six weeks treatment. The clinical assessment including depression severity, quality of life (QOL) and clinical safety. Biological indicators of immune-inflammation, the brain-derived neurotrophic factor and glucocorticoid inducible genes in peripheral blood of participants were measured by using enzyme linked immunosorbent assay and real-time polymerase chain reaction respectively before and after treatment. Three interventions improved the depression severity and QOL (P < 0.05), and no inter-group difference was found in the 6th week (P > 0.05). Anxiety psychic and somatic general symptoms in the EA + EO group were improved significantly than those of the other two groups (P < 0.05). After six-week treatment of EA + EO, blood SGK1 mRNA, GILZ mRNA, and BDNF levels were increased significantly ( Show less
📄 PDF DOI: 10.1016/j.jtcme.2025.02.002
BDNF
Su Gao, Shihui Zhu, Tianyi Qu +6 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-gluc Show more
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-glucose deprivation/reoxygenation (OGD/R) models. In vivo, rats were given oral CAG daily for 28 days before CIRI induction. Cerebral infarction and hippocampal injury were assessed using TTC, Nissl, and HE staining. Neurological scores, morris water maze, grip strength tests, and brain water content were used to evaluate functional outcomes. Oxidative stress was determined by biochemical assays, DHE staining, and transmission electron microscopy, while Western blotting was performed to measure neuroprotective proteins. In vitro, primary neurons were treated with CAG and subjected to OGD/R. Cell viability was tested by CCK-8 assay, apoptosis and mitochondrial membrane potential were analyzed by flow cytometry, ROS levels were quantified, and MDA, SOD, and GSH were measured biochemically. Western blot further evaluated BDNF and NeuN expression to confirm in vivo findings. In vivo, CAG reduced infarct volume and edema, improved neurological deficits, preserved the structural integrity of neurons in the hippocampal CA1 region. CAG also promoted motor function recovery, markedly reduced MDA levels, increased SOD and GSH activity, and upregulated BDNF and NeuN expression. In vitro, CAG enhanced cell viability in the OGD/R model, reduced apoptosis, restored mitochondrial membrane potential, and significantly suppressed oxidative stress induced by ischemia-reperfusion. CAG effectively alleviated injury caused by cerebral and cellular ischemia-reperfusion by maintaining redox homeostasis, inhibiting oxidative stress, and promoting the expression of neuroprotective proteins, demonstrating promising neuroprotective potential. Show less
no PDF DOI: 10.1016/j.brainresbull.2025.111689
BDNF cerebral ischemia cognitive impairment hippocampal injury neuroplasticity neuroprotection oxidative stress redox homeostasis
Sidan Wang, Lintao Dan, Xixian Ruan +15 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective coho Show more
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective cohort study. Two large multi-center cohorts (UK Biobank [UKB] and Whitehall II [WHII] study) across the UK and an Eastern multi-center cohort ONE-IBD Study from China. UK Biobank discovery cohort (n=10,229) for signature derivation, internal validation cohort (n=91,306), external validation cohort Whitehall-II (n=7,893), and three additional cohorts (two Western and ONE-IBD) for validation of key metabolic drivers. Primary outcomes were UPF-related circulating metabolic signatures and their associations with CD risk; secondary outcomes included evidence supporting causal roles of candidate metabolites and genetic pathways assessed by Mendelian randomization, colocalization, and gene-environment analysis. A UPF metabolic signature of 73 metabolites was constructed and validated across cohorts (Spearman ρ: 0.20-0.25). More pronounced UPF metabolic signature was associated with increased CD risk (HR The adverse effects of UPF on CD risk may be driven by a relative deficiency of protective metabolites such as DHA, apart from additive harm to metabolic depletion. This reframes UPF-related risk and highlighting potential targets for precision nutrition in CD prevention. Show less
📄 PDF DOI: 10.64898/2026.02.20.26346727
FADS1
Feng Zhang, Wei Chen, Huiying Wang +10 more · 2026 · Journal of advanced research · Elsevier · added 2026-04-24
Dual GIP/GLP-1 receptor agonists have gained significant attention in clinical applications because of their remarkable efficacy in reducing obesity and type 2 diabetes. However, the mechanisms by whi Show more
Dual GIP/GLP-1 receptor agonists have gained significant attention in clinical applications because of their remarkable efficacy in reducing obesity and type 2 diabetes. However, the mechanisms by which these dual agonists affect systemic metabolism remain elusive. To investigate the effects of a novel dual-receptor agonist, THDBH120, on systemic metabolism in obese individuals and the specific roles of GIPR and GLP-1R in modulating systemic and adipose tissue metabolism. To evaluate the intrinsic properties of THDBH120, we conducted a potency assay by using HEK293 cell lines overexpressing either human GIPR or GLP-1R and measured the accumulation of cAMP as a downstream second messenger following receptor activation. To evaluate the efficacy of THDBH120 on systemic metabolism, we used obese rodents and nonhuman primate species that received various doses and frequencies of THDBH120. To determine the metabolic roles of GLP-1R and GIPR in mediating the beneficial effects of THDBH120, we used GLP-1R- and GIPR-knockout mouse models treated with THDBH120, the GLP-1R agonist semaglutide, or the GIPR agonist LAGIPRA and performed transcriptomic sequencing analyses of adipose tissues. THDBH120 is a novel long-acting dual GIPR/GLP-1R agonist that has superior weight loss and metabolic improvement effects in rodents and mammals. The activation of GLP-1R by semaglutide or THDBH120 improved lipid metabolism, whereas the activation of GIPR by LAGIPRA or THDBH120 alleviated inflammation. THDBH120 improved lipid metabolism via GLP-1R-mediated pathways and mitigated inflammation by activating GIPR-associated pathways in the adipose tissues of obese mice. Both GLP-1R and GIPR are important in mediating the beneficial effects of dual receptors on systemic metabolism. THDBH120 is a novel long-acting dual GIPR/GLP-1R agonist that has potential clinical applications. Show less
no PDF DOI: 10.1016/j.jare.2026.02.006
GIPR
Qi Li, Min Gao, Ni Zhong +8 more · 2026 · Mediators of inflammation · added 2026-04-24
Endothelial cells under oxidative stress and inflammation are vital contributors to the progression of atherosclerosis. Although Orientin possesses antioxidant and anti-inflammatory activities, the ef Show more
Endothelial cells under oxidative stress and inflammation are vital contributors to the progression of atherosclerosis. Although Orientin possesses antioxidant and anti-inflammatory activities, the effects of Orientin on oxidized low-density lipoprotein and high glucose (ox-LDL/HG)-triggered endothelial cell injury and diabetes-accelerated atherosclerosis remain unclear. ApoE Show less
no PDF DOI: 10.1155/mi/1841497
APOE
Xue Li, Feng Zhang, Hanxu Zhu +5 more · 2026 · Microbiology spectrum · added 2026-04-24
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth fact Show more
Hepatitis B virus (HBV) infection can cause liver damage through oxidative stress (OS) and immune-inflammatory responses. This study aims to explore the clinical significance of fibroblast growth factor 21 (FGF21) in the development and progression of chronic hepatitis B (CHB). A total of 336 participants were recruited, including 320 CHB patients and 16 healthy controls. The expression of FGF21, immune cytokines, and OS-related molecules in peripheral blood mononuclear cells (PBMCs) was detected using real-time quantitative polymerase chain reaction. The methylation level of the FGF21 gene promoter in PBMCs was detected using TaqMan probe-based quantitative methylation-specific PCR. The expression level of FGF21 in the peripheral blood of CHB patients was higher than that of HC, but the methylation level of the FGF21 promoter was lower than that of HC, especially in patients during the immune activation phase. The mRNA expression levels of CXCR3 and CCL5 in PBMCs of CHB patients during the immune activation and reactivation phases were higher than those in other clinical stages. Single-cell analysis revealed that CXCR3 and CCL5 expression in the immune tolerance and immune activation phases with high HBsAg expression was closely related to T lymphocytes (T cells) and natural killer cells (NK cells) and was highly expressed in CD4 and CD8 T cells and NK cells. In addition, the mRNA expression levels of Nrf2 and GPX4 in the reactivation phase were higher than those in other clinical stages. The mRNA expression level and methylation level of FGF21 in PBMCs of CHB patients were correlated with the viral load, immune inflammation, and OS levels during the antiviral treatment course of CHB. The methylation level of the FGF21 promoter has the potential to become a non-invasive biomarker for monitoring the progress of antiviral treatment in CHB.IMPORTANCEThis study conducted an in-depth exploration of the application of methylation detection technology, analyzing its value and driving mechanism in the oxidative stress and immune-inflammatory balance during the course of chronic hepatitis B. The study analyzed the methylation patterns of the FGF21 promoter and the expression levels of its receptor FGFR1, as well as the expression levels of chemokines CXCR3, CCL5, and oxidative stress factors GPX4 and Nrf2 in the immune tolerance period, immune clearance period, immune control period, and reactivation period of chronic hepatitis B. It clarified the association between these molecules and the FGF21/FGFR1 axis and revealed the synergistic or antagonistic mechanisms of these molecules in the oxidative stress and inflammatory vicious cycle. At the same time, this study also explored the value of FGF21 promoter methylation in disease diagnosis and prognosis, providing a theoretical basis for evaluating the antiviral treatment effect and disease progression of chronic hepatitis B. Show less
📄 PDF DOI: 10.1128/spectrum.02769-25
FGFR1
Yuqi Li, Ruikai Li, Peng Wang +6 more · 2026 · Biochimica et biophysica acta. Molecular basis of disease · Elsevier · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Because MASLD progression poses serious health risks, elucidating the underlying mechanisms is essential to guide early intervention and therapeutic strategies. Proteomic analysis was used to identity high-fat diet (HFD)-induced proteins in mouse liver. Galectin-1 (GAL1) expression was assessed via immunohistochemistry in human liver tissues. Liver-specific GAL1-deficient mice were generated using adeno-associated virus. Mice were fed either a chow diet or an HFD. Functional studies were performed in cell lines using western blotting, RT-qPCR, immunofluorescence, co-immunoprecipitation, mass spectrometry, and molecular docking analysis. GAL1 expression was elevated in liver tissues from patients with MASLD and in mouse models. Liver-specific GAL1 knockdown alleviated hepatic steatosis and enhanced fatty acid oxidation (FAO). Mechanistically, GAL1 competitively bound to the BRCT domain of poly (ADP-ribose) polymerase 1 (PARP1), thereby interfering with its interaction with the WW domain -containing E3 ubiquitin protein ligase 2 (WWP2). Hepatic GAL1 knockdown promoted the PARP1 -WWP2 interaction and subsequently facilitated ubiquitin-dependent degradation of PARP1. This degradation led to increased NAD Hepatic deficiency of GAL1 alleviates hepatic steatosis by enhancing FAO through promotion of ubiquitin-dependent PARP1 degradation, thereby restoring NAD Show less
no PDF DOI: 10.1016/j.bbadis.2026.168237
WWP2
Zhijun Li, Qing Sun, Haoyu Li +7 more · 2026 · Schizophrenia (Heidelberg, Germany) · Nature · added 2026-04-24
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diag Show more
Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant challenge. To address this issue, we utilized a combination of bioinformatics and machine learning (ML) to identify potential biomarkers for SCZ. Our approach involved the integration of 12 different ML algorithms to develop a diagnostic signature based on data from several datasets, including GSE18312, GSE27383, GSE38485, GSE54913, and GSE165604. A nomogram was constructed using these datasets for potential clinical applications. In addition, clustering analysis was performed on SCZ patients using consensus clustering and non-negative matrix factorization (NMF) algorithms. We further evaluated subtype differences in biological functions and immune cells through various methods, such as gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), Proteomaps, and IOBR analyses. Our results identified a diagnostic signature composed of 16 genes (APBB2, CLCN1, SYDE1, PAX5, SNAI1, DAZL, UNC93B1, PLAGL2, HS3ST1, ITPKB, PILRA, BTLA, SWAP70, AZI2, ADM, and AVPR2), which demonstrated robust performance in diagnosing SCZ across eight different datasets. A nomogram based on these genes was created, providing clinical benefits for SCZ patients. Among the identified genes, AZI2 was found to be the most critical, influencing inflammation and immunity. We also identified potential chemical compounds that could target these 16 genes. Unsupervised clustering and NMF algorithms revealed two distinct subtypes of SCZ, each associated with unique immune cell profiles, biological functions, and protein expression levels. In conclusion, this study not only developed a diagnostic signature and a novel nomogram for SCZ but also provided new insights into the subtypes of SCZ. These findings may pave the way for personalized diagnosis and treatment strategies for SCZ patients. Show less
no PDF DOI: 10.1038/s41537-026-00744-z
SNAI1
Yichen Zhang, Lin Sun, Fang Li +2 more · 2026 · Cellular signalling · Elsevier · added 2026-04-24
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing Show more
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing to its lipid-regulating and anti-inflammatory effects, paeoniflorin (Pae) inhibits VSMC phenotypic transformation, making it a promising candidate for AS treatment. Mouse aortic VSMCs were treated with oxidized low-density lipoprotein (ox-LDL) and Pae, and the effects on cell phenotype were examined. An AS model was established by feeding ApoE Pae reversed weight gain and elevated TG levels in the AS model. Oil Red O staining showed that Pae inhibited VSMC-derived foam cell formation in vitro and reduced aortic sinus plaque area, aortic wall lipid deposition, and hepatic steatosis in the AS model. Immunofluorescence staining of the aortic sinus revealed that Pae mitigated α-SMA overexpression and reversed ATP-binding cassette transporter A1 (ABCA1) downregulation. Western blotting analysis revealed that Pae inhibited ERK1/2 and p65 phosphorylation, curbed MMP2 overexpression, and restored downregulated ABCA1 expression. Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, and wound healing assays demonstrated that Pae inhibited ox-LDL-induced VSMC proliferation and migration. Additionally, Pae significantly inhibited the expression of the inflammatory factors IL-6 and MCP-1 both in vivo and in vitro. Pae may treat AS by inhibiting VSMC phenotypic transformation. Show less
no PDF DOI: 10.1016/j.cellsig.2026.112477
APOE
Tianyu Yu, Xun Sun, Yang Liu +13 more · 2026 · Bioactive materials · Elsevier · added 2026-04-24
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment co Show more
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment compromises therapeutic efficacy. We developed an innovation CE-SKP/CPH/P2G3 scaffold which effectively repairs focal cartilage defects and emulates native cartilage ontogeny: the superficial CE-SKP hydrogel layer recruits SMSCs and promotes chondrogenesis; the middle CPH hydrogel layer induces chondrocyte hypertrophic calcification, forming cartilage calcified layer; and the basal P2G3 nanofiber membrane isolates subchondral cells, enforcing a top-down developmental sequence and preserving a localized hypoxic niche. Show less
📄 PDF DOI: 10.1016/j.bioactmat.2025.11.041
FGFR1
Haojie Ni, Yiyi Xiong, Min Liu +14 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid ex Show more
The pathological mechanism of Alzheimer's disease (AD) is complex. The binding of Aβ to α7 nicotinic acetylcholine receptor (α7nAChR) contributes to neuronal damage. Sinomenine (SIN) is an alkaloid extracted from the traditional Chinese medicine Qingfengteng (Sinomenium acutum). The anti-inflammatory, antioxidant, and immunomodulatory effects of SIN were confirmed to be closely associated with the α7nAChR. This study aimed to investigate whether α7nAChR serves as a pharmacological target of SIN against AD, and to evaluate the neuroprotective effects of SIN both in vivo and in vitro, focusing on the α7nAChR/Nrf2/Keap1 signaling pathway. In this study, the effects of SIN in both APP/PS1 transgenic mice and SH-SY5Y cells subjected to Aβ1-42-induced injury were assessed. The selective antagonist α-bungarotoxin ‌(α-BTX), the agonist nicotine (Nic) of α7nAChR, and α7nAChR siRNA were employed. The cognitive function, Aβ deposition, synaptic plasticity markers, the tau protein phosphorylation, mitochondrial membrane potential, oxidative stress and the α7nAChR/Nrf2/Keap1 signaling pathway were analyzed in vivo and/or in vitro. SIN significantly enhanced learning and memory abilities in APP/PS1 mice, reduced Aβ plaque deposition and synaptic dysfunction, and inhibited hyperphosphorylation of tau protein and oxidative stress in the brain. In Aβ1-42-induced neuronal injury model, SIN alleviated apoptosis, increased BDNF and ACh levels, inhibited mitochondrial damage, stabilized calcium homeostasis, and suppressed oxidative stress. Meanwhile, SIN disrupted Nrf2-Keap1 binding to promote the Nrf2/HO-1 signaling pathway. Nevertheless, SIN effects above were inhibited by α-BTX. The knockdown of α7nAChR in vitro significantly promoted Nrf2/HO-1 pathway and BDNF expression. SIN exerts neuroprotective effect in APP/PS1 transgenic mice and Aβ1-42-induced neuronal injury by inhibiting oxidative stress via α7nAChR/Nrf2/Keap1 pathway. This study provides evidence for α7nAChR as a new target and the clinical application potential of SIN in AD treatment. Show less
no PDF DOI: 10.1016/j.phymed.2026.157779
BDNF alzheimer's disease antioxidant inflammation neuroprotection oxidative stress pathology sinomenine
Jia Wei Chen, You Ran Li, Le Yuan Tao +8 more · 2026 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Atherosclerosis preferentially develops in regions exposed to disturbed flow, where is more susceptible to trans-endothelial retention of oxidized low-density lipoprotein (ox-LDL) and subsequent vascu Show more
Atherosclerosis preferentially develops in regions exposed to disturbed flow, where is more susceptible to trans-endothelial retention of oxidized low-density lipoprotein (ox-LDL) and subsequent vascular inflammation. While 12/15-lipoxygenase (12/15-LOX) is implicated in lipid oxidation, its role in accumulation of oxLDL in disturbed flow areas remains unknown. Human coronary artery endarterectomy specimens and cultured endothelial cells were analyzed for 12/15-LOX expression and localization under disturbed flow. Oxidized phospholipids were quantified via E06 antibody by ELISA, while ROS generation was measured using DCFH-DA. ApoE Disturbed flow upregulated 12/15-LOX expression in endothelial cells. In vitro, disturbed flow increased LDL oxidation and ROS production, both attenuated by 12/15-LOX siRNA or the specific inhibitor baicalein and ML351. Genetic deletion or pharmacological inhibition of 12/15-LOX reduced oxidized lipid deposition in disturbed flow regions. Mechanistically, 12/15-LOX increased ROS production in disturbed flow conditions in a pathway upstream of NAPDH oxidase 2. However, the 12/15-LOX-mediated LDL oxidation was independent of NOX. We identify 12/15-LOX as a hemodynamic-sensitive enzyme that is upregulated under disturbed flow to promote LDL oxidation, which proposes a promising target to mitigate atherosclerosis especially in disturbed flow areas. Show less
no PDF DOI: 10.1016/j.bbrc.2025.153010
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