👤 Haimin 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, Ziming Li, Rongqing Li, Hang Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Jiajie Li, Zhao-Yang Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, X Y Li, Ran Li, Peilin 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, 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, Jiayang Li, Yawei Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Fa-Hui Li, Zhen-Yuan Li, Xueyang Li, Xuelin Li, Caiyu Li, Guangpu Li, Teng Li, Wen-Jie Li, Hegen Li, Ang 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, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, Yaoqi Li, San-Feng Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Jinlin Li, Xiaoqing 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, 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, Xining Li, Qinghe 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, Kangli Li, Ming Li, Runwen Li, Wenbo Li, Side Li, Yarong Li, Weidong Li, S E Li, Timmy 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, 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, Junping Li, Xiao Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Pan Li, Shengchao A Li, Jiaying Li, Jun-Jie Li, Ruonan Li, Cui-lan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Suyan Li, Chengquan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Ya-Jun Li, Xue Cheng Li, Wenyong Li, Ding-Biao Li, 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, 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, Tian Li, YiPing Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Minhui Li, Yu Li, Yvonne Li, Yiwei Li, Jiayuan Li, Xiangzhe Li, Zhichao Li, Yige Li, Siguang Li, Minglun Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Hailong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Dengke Li, Zijing 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, 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, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Jiao Li, Zhimei Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, De-Tao Li, Chunting Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, 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, Yali Li, Zhaoshui Li, Wenjing Li, Yu-Hui Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Zengyang Li, Kaiyuan Li, Mangmang Li, Chunyan Li, Runzhen Li, Xiaopeng Li, Xi-Hai Li, MengGe Li, Xuezhong Li, Anan Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Ning Li, Yanxi Li, Ruobing Li, Wan-Xin Li, Xia Li, Yongjing Li, Meitao 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, 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, Jutang Li, Mengxia 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, Xingye Li, Xiangjun Li, Junxu Li, Junya Li, Huiying Li, Jiang Li, Shengxian Li, Qingyang Li, Yuxi Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Zhenming Li, Xuelian Li, Shu-Fen Li, Chunjun Li, Changyan Li, Mulin Jun Li, Yinghua 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, Shiyun Li, Xiaoyu 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, Chia Li, Y X Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Xiancheng Li, Man-Zhi Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Danxi Li, Saijuan Li, Minqi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Gao-Fei Li, Minghao Li, Minle Li, Meifen Li, 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, Jinglin Li, Dongyang Li, Honglong Li, Mingfang 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, Jin-Jiang Li, Cheng-Tian Li, Chang Li, Zhi-Xing Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Yaxuan Li, Liangji Li, Yuchan Li, Tian-wang Li, Lixiang Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, You Ran Li, Xiaoqiong Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Yuhua Li, Sujing Li, Xuri Li, Wenzhuo Li, Y Li, Deqiang Li, Caixia Li, Zipeng Li, Mingyue Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, Xi Li, S-C Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Anqi Li, Bingsong Li, Shuai Li, 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, Yuanheng Li, Qian-Qian Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Yu-Sheng Li, Junxin Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shanglai Li, Shulin Li, Yanyan Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Xueying Li, Jun-Ru Li, JunBo Li, Zhaobing Li, Xiaoqi Li, Xiucui Li, Haihua Li, Linxin Li, Yu-Lin Li, Jen-Ming Li, Tsai-Kun Li, Chen-Chen Li, Shujing Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Shihong Li, Huifeng Li, Rulin Li, Ya-Pei Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Wenjia Li, Min-Dian Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Yiqiang Li, Zhenzhou Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Zesong Li, Yutong Li, Xiangpan Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, Nan Li, Gongda Li, Yajun Li, Wei-Ping 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, Hainan Li, Qi Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Xionghui Li, Fei Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Peilong Li, Hongmei Li, Kang 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, Jianang Li, Xue-Peng 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, 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, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zizhuo Li, Zhuorong Li, X-H Li, Xianrui Li, Lan-Juan Li, Dong Sheng Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Bing-Heng Li, Xiaoman Li, Huanqiu 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, Jianlin Li, Yanshu Li, Yuanyou Li, Chongyang Li, Yumin Li, Wanyan Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Changgui Li, Cuiling Li, Zhisheng Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Peihua Li, Kai-Wen Li, Suwen Li, Chang-Ping Li, Guangda Li, Guandu Li, Yixue Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying 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, Vivian Li, Duanxiang Li, Xiaolin Li, Justin Li, Meiting Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Youwei Li, Mingjiang Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Zongyu Li, Luquan Li, Guoxing Li, Jianyong Li, Shujie Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Tie Li, Yiwen Li, Baoqi Li, Leyao Li, Wei-Bo Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Shibo Li, Jin Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, AnHai Li, Hui Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinqin Li, Lipeng Li, Qinghua 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, 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, Zhankui Li, Zhi Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Zhijie Li, Meng Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Xiong Bing Li, Hanqin Li, Qingjie Li, Wen Lan Li, Guoge Li, Han Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Chaojie Li, Michelle Li, Caolong Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Peipei Li, Guangdi Li, Tian-Yi Li, Xiaxia Li, Nien Li, Yuefeng 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, S L Li, Mengqing Li, Ben-Shang Li, Shunqing Li, Ming-Kai Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Ruolin Li, Yongle Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, M Li, Dong-Ling Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Si-Wei Li, Ai-Qin Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, 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, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Zhongxia Li, Ningyang Li, Guangquan Li, Xiaozheng Li, Hui-Jun Li, Shun Li, Xuefei Li, Guojun 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, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Lihong Li, Chun Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, H Li, Xiaojiao Li, Dongliang Li, Yinzhen Li, Chenxiao Li, Hongjia Li, Xiao-Jing Li, Yunsheng Li, Li-Min Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Baichuan Li, Daoyuan Li, Haibo Li, Wenqi Li, Zhenzhe Li, Jian-Mei Li, Xiao-Jun Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Yihan Li, Chitao Li, Haiyang Li, Xiaobai Li, Junsheng Li, Jiayu Li, Pingping Li, Mingquan Li, Wen-Ya Li, Suran Li, Yunlun Li, Rongxia Li, Yuanfang Li, Yingqin Li, Guoqin Li, Qiner Li, Huiqin Li, Shanhang Li, Jiafang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Caihong Li, Hongmin Li, Yajing Li, Peng Peng Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Jian-Jun Li, Dongmin Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Dazhi Li, Yubin Li, Beixu Li, Yuhong Li, Guiyuan Li, Di Li, Fengqiao Li, Yanbing Li, Suk-Yee Li, Jufang Li, Shengjie Li, Yuanyuan Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Minghua Li, Xiyue Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Hongjuan Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Chunqing Li, Jiong Li, Lai K Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Yongsheng Li, Xiujuan Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Yuling Li, Ding Li, Wendeng Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Linyan Li, Yanjun Li, Shengze Li, Ming-Yang Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Congcong Li, Ji-Lin Li, Ping'an Li, Yushan Li, Juan Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, He-Zhen Li, G-P Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Jinfeng Li, Wen Li, Shiheng Li, Jiangan Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Chia-Yang Li, Meng-Meng Li, Tianxiang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Haiyan Li, Jiaxin Li, Chenguang Li, Ming D Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zechuan Li, Zhijun Li, Jiazhou Li, Sherly X 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, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Chao Li, Yaqing Li, Jingui Li, Bingsheng Li, Yaqiao Li, Huamao Li, Xiankun Li, Jingke Li, Xiaowei Li, Tianyao Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Chumei Li, Zhixiong Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Binghua Li, Xuyi 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, Weike Li, Desheng Li, Long-Yan Li, Zhixuan 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, Mengyuan Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Dehai Li, Wensheng Li, Qingshang Li, Jiannan 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, Lihua Li, Yilong Li, Xue-Lian Li, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Yuemei Li, Yanli Li, Hai Li, Jingfeng 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, YaJie Li, Dingchen Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Congjiao Li, Peining Li, Meng-Jun Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, 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 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, Rong Li, Shikang Li, Wei-Yang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Ming Xing Li, Zixiao Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Hong-Lian Li, Bei-Bei Li, Haitong Li, Xiumei Li, Melody M H Li, Ruibing Li, Yuli 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, Longxuan Li, Baoting Li, Ka Wan Li, Huiyou Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing 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, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Youchen Li, Junhong Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Runbing Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Jingyi Li, Ji-Cheng Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Huijuan Li, Haiyu Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Guohui Li, Kainan Li, Yongzhe Li, Tianyi Li, Qingfeng Li, Xiaoyan Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Yuanchuang Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Hongliang Li, Qing-Chang Li, Shengbiao Li, Hong-Yan Li, Yue-Rui Li, Ruidong Li, Dalei Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Sijie Li, Dengxiong Li, Xiaomin Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Qiuyan Li, Zhouxiang Li, Tingguang Li, Yun-tian Li, Jianliang Li, Xiangyang Li, Guangzhao Li, Chunjie Li, Yixi Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Wenqun Li, Dongtao Li, Guixia Li, Fengyuan Li, Yinan Li, Aoxi Li, Chenxi Li, Zuo-Lin Li, Yuanjing Li, Zhengwei Li, Linqi Li, Bingjue Li, Xixi Li, Binghu Li, Yan-Chun Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Jia-Ru Li, Shuhui Li, Chun-Xiao Li, Pei-Qin Li, Shu-Hong Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Duo Li, Dali Li, Yaxian Li, Zhiming Li, Xuemei Li, Xueting Li, Hongxia 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, Zhipeng Li, Zhijia Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaobo Li, Xiaoting Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Xiao-Yao Li, Weirong Li, Kun-Ping Li, Weihua Li, Shangming Li, Yaqi Li, Yibo Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Xiufeng Li, Yingjun 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, Junru Li, Zhiqiang Li, Jiangchao Li, Hecheng Li, Haifeng Li, Changkai Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-JĂşn Eveline Li, Bing-Mei Li, Yunman Li, Chaoqian Li, Shuhua Li, Yu-Cheng Li, Chunying Li, Yirun Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, Zhengliang Li, YiQing Li, Han-Ru Li, Wei-Qin Li, Weijie Li, Sheng Li, Yaqiang Li, Guoyin 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, Jiahao Li, Hanxiao Li, Jiansheng Li, Shuying Li, Shibao Li, Kunlong Li, Pengjie Li, Xiaomei Li, Ruijin Li
articles
Chunli Shao, Shu Zhang, Zhifeng Cheng +17 more · 2025 · Atherosclerosis · Elsevier · added 2026-04-24
Several protein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been shown to significantly reduce low-density lipoprotein cholesterol (LDL-C) levels in statin-intolerant patients, but none Show more
Several protein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been shown to significantly reduce low-density lipoprotein cholesterol (LDL-C) levels in statin-intolerant patients, but none have been verified in Chinese patients. This study aimed to evaluate the efficacy and safety of ongericimab, a novel PCSK9 monoclonal antibody, in Chinese statin-intolerant patients with primary hypercholesterolemia or mixed dyslipidemia. This was a randomized, multicenter, double-blind, placebo-controlled phase 3 study designed to enroll 120 statin-intolerant adult patients. Eligible patients were randomly assigned in a 2:1 ratio to receive ongericimab 150 mg or placebo subcutaneously every 2 weeks for 12 weeks in the double-blind treatment period, followed by 40 weeks of ongericimab treatment during the open-label period. The primary endpoint was a percentage change in LDL-C from baseline to week 12. The key secondary endpoints included percentage change from baseline to week 12 in non-high density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (ApoB), total cholesterol (TC), and lipoprotein(a) [Lp(a)]. From February 6, 2023, to September 23, 2024, a total of 139 patients were enrolled. The least-squares (LS) mean difference between ongericimab and placebo groups in LDL-C from baseline to week 12 was -66.2 % (95 % CI: 74.2 %, -58.2 %; p < 0.0001), with reductions sustained up to week 52. Ongericimab also significantly reduced levels of non-HDL-C, ApoB, TC, and Lp(a). The overall incidence of treatment-emergent adverse events was comparable between the ongericimab and placebo groups. Ongericimab significantly reduced LDL-C as well as other atherogenic lipid levels and was well tolerated in Chinese statin-intolerant patients with primary hypercholesterolemia or mixed dyslipidemia. http://www. gov; Unique Identifier: NCT05621070. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2025.120408
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Jun Jing, Meng-Ying Zhang, Wei-Hong Yin +4 more · 2025 · BMC anesthesiology · BioMed Central · added 2026-04-24
This study aimed to investigate the effects of perioperative esketamine on postoperative depression and pain in patients undergoing laparoscopic total hysterectomy. 135 patients undegoing laparoscopic Show more
This study aimed to investigate the effects of perioperative esketamine on postoperative depression and pain in patients undergoing laparoscopic total hysterectomy. 135 patients undegoing laparoscopic total hysterectomy were recruited and randomly allocated to three groups. Finally, a total of 127 patients were selected into the statistical analysis, with the final grouping information as follows: sufentanil group (S1, n = 44), sufentanil combined with 0.25 mg/kg esketamine group (SK1, n = 42) and sufentanil combined with 0.5 mg/kg esketamine group (SK2,n = 41) intraoperatively, then postoperative analgesia was maintained with sufentanil (2 µg/kg) via patient-controlled intravenous analgesia (PCIA) in all groups, while a 1 mg/kg dose of esketamine was added to the PCIA regimen for patients in groups SK1 and SK2. The peripheral blood serum brain-derived neurotrophic factor (BDNF) level, 5-hydroxytryptamine (5-HT) level, Hamilton Depression Scale (HAM-D) scores, visual analogue scale(VAS) scores and the number of PCIA button pressed times in perioperative period were collected. Meanwhile, the postoperative adverse effects including nausea, vomiting, dizziness, respiratory depression and hallucinations were collected and compared between the three groups. Relative to preoperative baseline levels, BDNF and 5-HT levels decreased at the 1th day(1d) post surgery in all groups(P < 0.05), and then followed by a gradual increase thereafter. Compared with S1 group, the SK1 and SK2 group showed significantly higher serum BDNF and 5-HT levels at 1d, 2d and 5d after operation (P < 0.05), and revealed even higher at 1d and 2d after operation in SK2 group(P < 0.05). The HAM-D scores at 1d, 2d and 5d post operation were significantly reduced in SK1 and SK2 group (P < 0.05) compared to S1 group, and decreased even lower at 1d and 2d postoperative in SK2 group(P < 0.05), but no significant difference was found among three groups at 1d before and the 7d after operation. Simultaneously, the VAS scores decreased significantly in SK1 and SK2 group at the 1th hour(1 h), 6 h, 12 h, 24 h, and 48 h after surgery (P < 0.05), and the PCIA button pressed times were also significantly reduced in SK1 and SK2 group (P < 0.05) during the postoperative 48 h. Furthermore, the SK1 and SK2 group showed the lower dosage of remifentanil during the surgery(P < 0.05). However, the postoperative adverse effects had no statistical differences among the three groups. The combined intraoperative and postoperative administration of esketamine was effective in alleviating postoperative depression and pain, without increasing adverse effects in patients undergoing laparoscopic total hysterectomy. Moreover, the 0.5 mg/kg dosage intraoperatively may have the better alleviation property of depression-related indicators. The study was registered with the Chinese Clinical Trial Registry at www.chictr.org.cn (registration date: October 31, 2022; registration number: ChiCTR2200065198). Show less
đź“„ PDF DOI: 10.1186/s12871-025-03570-5
BDNF
Xingyu Fu, Ao Yin, Chao Wang +5 more · 2025 · European journal of medical research · BioMed Central · added 2026-04-24
Atherosclerosis is a primary contributor to worldwide morbidity and mortality. Failure to timely clear apoptotic cells can trigger a cascade reaction, where the necrotic core expands until the fibrous Show more
Atherosclerosis is a primary contributor to worldwide morbidity and mortality. Failure to timely clear apoptotic cells can trigger a cascade reaction, where the necrotic core expands until the fibrous cap is ruptured, and atherosclerotic plaques become vulnerable. Efferocytosis is an important method for recognizing and eliminating apoptotic cells. Nevertheless, the specific effect of efferocytosis on atherosclerosis remains uncertain. This study aimed to identify and verify the relevant characteristics of efferocytosis for detecting atherosclerosis. The data of gene expression patterns of atherosclerosis were sourced from the Gene Expression Omnibus (GEO) database, and the differential expression analyses of efferocytosis-related genes (EFRGs) were performed between the atherosclerosis samples and the control samples. Subsequently, protein-protein interaction (PPI), correlation analysis, and functional enrichment analysis were performed to reveal the interaction between molecules as well as their pathways. Machine learning (ML) was employed to determine hub genes to construct a clinical prediction model. At the same time, immune infiltration, single-cell transcriptome analysis, and cell experiments were conducted in both atherosclerosis and control samples to provide a reference for the immune cell landscape and the cell heterogeneity under this condition. The study revealed that 14 genes were closely related to efferocytosis in atherosclerosis. Among them, an ML model was used to screen 5 potential diagnostic biomarkers, including tumor necrosis factor (TNF), apolipoprotein E (ApoE), neutrophil cytosolic factor 1 (NCF1), triggering receptor expressed on myeloid cells 2 (TREM2), and chitinase-3 like-protein-1 (CHI3L1). Subsequent external validation indicated that, except for TNF, the other 4 genes were all upregulated. From the cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) analysis, those 5 genes were all significantly associated with various immune cells. Further single-cell RNA sequencing (scRNA-seq) analysis demonstrated that those 5 genes were selectively upregulated in the macrophages of atherosclerosis lesions, which was supported by mRNA levels in cell experiments. This study clarified the association between atherosclerosis and efferocytosis, and established an effective diagnostic model. Moreover, potential treatment targets for atherosclerosis were identified, offering new insights into the potential mechanism of atherosclerosis. Show less
đź“„ PDF DOI: 10.1186/s40001-025-03669-y
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Menghan Lv, Xuan Wang, Xiayue He +4 more · 2025 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Obesity and dysregulated cytokine levels are prevalent in schizophrenia patients undergoing antipsychotic treatment. While cytokines are implicated in obesity, their relationship with psychopathology Show more
Obesity and dysregulated cytokine levels are prevalent in schizophrenia patients undergoing antipsychotic treatment. While cytokines are implicated in obesity, their relationship with psychopathology in schizophrenia remains underexplored. This study investigated associations between body mass index (BMI), cytokine levels, and clinical symptoms in chronic schizophrenia patients. In this cross-sectional study,201chronic schizophrenia patients (Chinese Han population) were stratified into high BMI (BMI≥25kg/m A significant negative correlation was observed between BMI and IL-2( Higher BMI in chronic schizophrenia is associated with reduced IL-2 levels, attenuated negative symptoms, and adverse lipid profiles. TNF-α may modulate psychopathology severity. These findings highlight complex interactions between metabolic dysregulation, immune markers, and clinical manifestations in schizophrenia. Show less
đź“„ PDF DOI: 10.3389/fpsyt.2025.1574041
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Yi Wen, Hongxia Li, Sydney Smith +9 more · 2025 · Journal of clinical lipidology · Elsevier · added 2026-04-24
Cholesteryl ester transfer protein (CETP) mediates the exchange of triglycerides (TG) from apolipoprotein B (ApoB)-containing lipoproteins to high-density lipoproteins (HDL) and the reciprocal exchang Show more
Cholesteryl ester transfer protein (CETP) mediates the exchange of triglycerides (TG) from apolipoprotein B (ApoB)-containing lipoproteins to high-density lipoproteins (HDL) and the reciprocal exchange of cholesterol (C) from HDL to ApoB-containing lipoproteins. CETP inhibition increases HDL-C and decreases low-density lipoprotein cholesterol (LDL-C) while modestly decreasing TG. Considering that CETP inhibitors block removal of TG from TG-rich lipoproteins (TRL), it is interesting that CETP inhibition decreases TG concentrations. TG levels are largely regulated by lipoprotein lipase (LPL), the enzyme primarily responsible for hydrolyzing TG. The angiopoietin-like 3/8 complex (ANGPTL3/8) is the most potent circulating LPL inhibitor, while the TG-lowering apolipoprotein A5 (ApoA5) acts by suppressing ANGPTL3/8-mediated LPL inhibition. To better understand CETP biology, we studied the effects of CETP overexpression and CETP inhibition on the levels of ANGPTL3/8 and ApoA5 in circulation using dedicated immunoassays. CETP-overexpressing transgenic mice had increased TG and normal ANGPTL3/8 levels but manifested dramatically reduced ApoA5 concentrations. Administration of the CETP inhibitor evacetrapib had no effect on ANGPTL3/8 levels in CETP-overexpressing mice or in humans. However, evacetrapib administration increased ApoA5 concentrations in both species. In human subjects, evacetrapib treatment increased circulating ApoA5 levels in the late-stage ACCELERATE and ACCENTUATE studies by 160.1% and 204.7%, respectively. Our results uncover a previously unrecognized link between CETP and ApoA5 by showing that CETP overexpression reduces ApoA5 levels while CETP inhibition increases ApoA5 concentrations. Show less
no PDF DOI: 10.1016/j.jacl.2025.06.008
APOA5
Huang Hui, Yang Yu, Liang Yiwei +3 more · 2025 · BMC pediatrics · BioMed Central · added 2026-04-24
This study aimed to investigate the genetic etiology and clinical features of non-syndromic pediatric obesity in a large Chinese cohort, providing insights into the genetic profile and its correlation Show more
This study aimed to investigate the genetic etiology and clinical features of non-syndromic pediatric obesity in a large Chinese cohort, providing insights into the genetic profile and its correlation with clinical phenotypes. We enrolled 391 children, aged 7-14 years, diagnosed with non-syndromic pediatric obesity at Jiangxi Provincial Children's Hospital from January 2020 to June 2022. Whole-exome sequencing was employed to identify potential genetic causes, focusing on 79 candidate genes associated with obesity. Multivariate logistic regression analysis was performed on the clinical data of the non-syndromic obesity gene-positive group and the gene-negative group. Among the 391 patients, 32 (8.2%) carried 18 non-syndromic obesity genes, with UCP3 and MC4R being the most common. Seven cases (1.8%) were rated as likely pathogenic by the American College of Medical Genetics and Genomics (ACMG). Clinical phenotype and genetic correlation analysis revealed that urinary microalbumin, fT4, GGT, uric acid, serum phosphorus, paternal weight, family history, impaired glucose tolerance (IGT), non-HDL cholesterol (non-HDL-C), and metabolic syndrome (MetS) showed significant statistical differences (P < 0.05). Serum phosphorus is an independent risk factor associated with genetic predispositions to obesity in children and adolescents (P < 0.05). Our findings highlight the genetic heterogeneity of non-syndromic pediatric obesity and identify UCP3 and MC4R as potential hotspot genes in the Chinese population. The study underscores the potential of genetic testing for early diagnosis and personalized management of pediatric obesity. Show less
đź“„ PDF DOI: 10.1186/s12887-025-05702-9
MC4R
Qing Wang, Wei He, Shilong Han +6 more · 2025 · Cancer medicine · Wiley · added 2026-04-24
Colorectal cancer (CRC) metastasis remains a major cause of mortality, driven by epithelial-to-mesenchymal transition (EMT) and invasion. Programmed cell death 4 (Pdcd4), a tumor suppressor, is known Show more
Colorectal cancer (CRC) metastasis remains a major cause of mortality, driven by epithelial-to-mesenchymal transition (EMT) and invasion. Programmed cell death 4 (Pdcd4), a tumor suppressor, is known to inhibit translation via interaction with eukaryotic initiation factor 4A (eIF4A). Previous studies have established that Pdcd4 suppresses stress-activated protein kinase 1-interacting protein 1 (Sin1) translation through the mTORC2-Akt axis, thereby downregulating Snail expression and EMT in CRC cells. However, whether Pdcd4 directly regulates Slug, another critical EMT transcription factor, remains unexplored. PDCD4 shRNA and SLUG siRNA were used to knock down Pdcd4 and Slug in colorectal cancer cells, respectively. The sucrose gradient fractionation was performed to determine SLUG translation. A luciferase reporter assay was used to determine the role of the SLUG 5' untranslated region (5'UTR) on Pdcd4 inhibition. The effect of Slug on promoting invasion was determined by Matrigel invasion assays. Knockdown of Pdcd4 in colorectal cancer cells increased Slug protein levels without altering SLUG mRNA abundance. Sucrose gradient fractionation revealed that Pdcd4 knockdown elevated the proportion of SLUG mRNA in polysome fractions, demonstrating Pdcd4-mediated suppression of SLUG translation. To validate the mechanism, the SLUG 5'UTR was cloned and fused to a luciferase reporter and named SLUG-5'UTR-Luc. Pdcd4 knockdown markedly enhanced SLUG-5'UTR-Luc activity; whereas, ectopic Pdcd4 expression suppressed it, indicating that the SLUG 5'UTR is critical for Pdcd4-mediated translational repression. Treatment with the eIF4A inhibitor silvestrol substantially reduced Slug protein levels and SLUG-5'UTR-Luc activity. In addition, Pdcd4 overexpression decreased Slug protein abundance and restored E-cadherin expression. Notably, Slug knockdown in Pdcd4-deficient cells rescued E-cadherin expression and abrogated the invasive phenotype. These findings suggest that up-regulation of Slug translation by Pdcd4 knockdown contributes to enhanced invasion. Pdcd4 suppresses colorectal cancer invasion by translationally downregulating Slug expression. Show less
no PDF DOI: 10.1002/cam4.71145
SNAI1
Giuliana Ascone, Rajdeep Kaur, Arwaa Mehran +14 more · 2025 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Osteoglophonic Dysplasia (OGD) is an autosomal dominant skeletal dysplasia characterized by impaired bone growth resulting in short stature, severe craniofacial abnormalities, and in some patients FGF Show more
Osteoglophonic Dysplasia (OGD) is an autosomal dominant skeletal dysplasia characterized by impaired bone growth resulting in short stature, severe craniofacial abnormalities, and in some patients FGF23-mediated hypophosphatemia. It is caused by gain-of-function variants in FGFR1, particularly in or near the transmembrane domain of the receptor. We used CRISPR in mice to knock-in the FGFR1 p.N330I variant, chosen based on its association with FGF23 excess. Skeletal phenotyping of this Show less
đź“„ PDF DOI: 10.1101/2025.11.14.680268
FGFR1
Nafeisha Simayi, Jiaying Li, Junkai Hu +4 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Tumor angiogenesis is required for the progression of non-small cell lung cancer (NSCLC), and anti-vascular endothelial growth factor (anti-VEGF) antibody bevacizumab and multitarget tyrosine kinase i Show more
Tumor angiogenesis is required for the progression of non-small cell lung cancer (NSCLC), and anti-vascular endothelial growth factor (anti-VEGF) antibody bevacizumab and multitarget tyrosine kinase inhibitor anlotinib are anti-cancer treatment options, the combined effect of which in NSCLC remains unclear. A vascularized microfluidic chip was applied to model angiogenesis, together with Bevacizumab plus anlotinib (B+A) inhibited angiogenesis, reducing vessel density to 10% of control values and also reducing diameter and green fluorescent protein (GFP) area ratio. B+A inhibited cell viability by 78%, colony formation by 90%, and invasion by 75% in NSCLC cell lines A549 and H1299; downregulated N-cadherin 5.34-fold, vimentin 6.46-fold, and α-SMA 4.35-fold; and upregulated E-cadherin 3.75-fold. The rates of apoptosis of A549 and H1299 cells were increased 3.85-fold. The phosphorylation of VEGFR2, PDGFRβ, and FGFR1 was also reduced. B+A reduced tumor volume 7.23-fold and weight 7.08-fold, decreased tumor cell density, and lowered Ki-67 expression in an HIF-1α inhibitor PX478 did not enhance the anti-tumor effects of B+A, but HIF-1α activator DMOG reversed them. In addition, the combination therapy enhanced CD4 Show less
đź“„ PDF DOI: 10.3389/fimmu.2025.1613368
FGFR1
Hongxin Cheng, Qing Zhang, Wen Zhong +6 more · 2025 · Signal transduction and targeted therapy · Nature · added 2026-04-24
Atherosclerosis serves as the core pathological basis of cardiovascular, cerebrovascular, and peripheral arterial diseases, posing a serious threat to human health. However, current mainstream treatme Show more
Atherosclerosis serves as the core pathological basis of cardiovascular, cerebrovascular, and peripheral arterial diseases, posing a serious threat to human health. However, current mainstream treatments such as statin drugs and stent implantation are associated with significant side effects or limited efficacy, highlighting the urgent need for new therapeutic strategies. Pulsed electromagnetic fields (PEMFs), due to their noninvasive nature and anti-inflammatory properties, show potential in the treatment of atherosclerosis. This study utilized ApoE-/- mice, ApoE-/-NLRP3-/- knockout mice, human umbilical vein endothelial cells (HUVECs), human aortic endothelial cells (HAECs), and human plasma samples for experiments, revealing significant endothelial cell (EC) inflammation and pyroptosis during the progression of atherosclerosis. PEMFs were found to effectively inhibit the activation of the NLRP3 inflammasome, reduce plaque formation, and delay the progression of atherosclerosis. Proteomic analysis of plasma from atherosclerosis patients further indicated elevated expression levels of proteins related to inflammation and pyroptosis, with particularly notable changes in membrane proteins. Mechanistic studies demonstrated that PEMFs improve mitochondrial dysfunction in ECs by regulating membrane tension and the mechanosensitive tension-mediated transient receptor potential vanilloid 4 (TRPV4) channels, thereby reducing pyroptosis. This discovery not only reveals a novel mechanobiological pathway but also provides a solid theoretical foundation for the development of PEMF-based therapies for atherosclerosis. Schematic diagram of the mechanism by which PEMFs treat atherosclerosis (created in BioRender). Wei, B. (2025) https://BioRender.com/undefined ). Show less
đź“„ PDF DOI: 10.1038/s41392-025-02479-2
APOE
Fenglou He, Han Liu, Yakun Yao +6 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-24
This study aimed to collaboratively investigate the mechanism of variations in intramuscular fat (IMF) content in Wandong cattle using transcriptomics and metabolomics techniques. Longissimus dorsi (L Show more
This study aimed to collaboratively investigate the mechanism of variations in intramuscular fat (IMF) content in Wandong cattle using transcriptomics and metabolomics techniques. Longissimus dorsi (LD) muscle samples were collected from thirteen free-range Wandong cattle in Fengyang County, Anhui Province, China. From this initial cohort, eight animals closely matched in age and body weight were selected. Based on IMF content measured by Soxhlet extraction, these eight cattle were divided into two groups: the high-IMF (HF, n = 4) and low-IMF (LF, n = 4) groups. Subsequent analyses were performed on integrated datasets comprising the transcriptome, metabolome, and fatty acid profile. The results revealed a significant increase in IMF in the HF group compared to the LF group ( Show less
đź“„ PDF DOI: 10.3390/ijms262311557
HSD17B12
Yunxi Li, In-Hee Lee, Sek Won Kong · 2025 · medRxiv : the preprint server for health sciences · Cold Spring Harbor Laboratory · added 2026-04-24
Despite widely acknowledged sex differences in lipid metabolism and risks for cardiovascular disease, genetic associations contributing to such differences remain incompletely characterized. Here, we Show more
Despite widely acknowledged sex differences in lipid metabolism and risks for cardiovascular disease, genetic associations contributing to such differences remain incompletely characterized. Here, we performed a sex-stratified genome-wide association study (GWAS) for four lipid profiles to identify loci exhibiting differential effects between males and females. Using whole-genome sequencing data from All of Us Research Program comprising 124,920 participants of diverse ancestry, we conducted GWAS analyses separately in males, females, and a pooled cohort. Our analyses validated previous findings on genes associated with lipid metabolism. In addition, we have found 5 genes showing significant sex-heterogeneous effects, including Show less
no PDF DOI: 10.1101/2025.11.21.25340771
ZPR1
Yanping Wang, Xiaoru Ma, Zhixin Qiao +16 more · 2025 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Astrocytes are key regulators of neuroinflammation in multiple sclerosis (MS). Electroacupuncture (EA), a safe and cost-effective adjuvant therapy, has shown benefits in neurodegenerative diseases, bu Show more
Astrocytes are key regulators of neuroinflammation in multiple sclerosis (MS). Electroacupuncture (EA), a safe and cost-effective adjuvant therapy, has shown benefits in neurodegenerative diseases, but its astrocyte-related mechanisms remain unclear. Here, we demonstrated that EA at ST36 alleviated blood-brain barrier (BBB) disruption and neuroinflammation during the peak period of experimental autoimmune encephalomyelitis (EAE). Additionally, EA at ST36 upregulated the expression of α-melanocyte-stimulating hormone (α-MSH) and its receptor melanocortin-4 receptor (MC4R) in spinal astrocytes. Pharmacological studies showed that MC4R agonist RO27-3225 mimicked the therapeutic effects of EA, whereas MC4R antagonist TCMCB07 weakened EA-mediated BBB protection and neuroinflammation suppression. Moreover, astrocyte-specific silencing of MC4R via adeno-associated virus (AAV) weakened EA-mediated BBB protection and neuroinflammation suppression. RNA-sequencing (RNA-seq) and western blot (WB) revealed that EA exerts neuroprotective effects by activating MC4R to inhibit MAPK and NF-κB signaling pathways. Moreover, in MC4R-overexpressing astrocytes, α-MSH and RO27-3225 reduced inflammation responses, while TCMCB07 reversed the effects by MAPK/NF-κB signaling pathways. Collectively, our findings identify astrocytic MC4R as a critical mediator of EA-driven neuroprotection by suppressing MAPK/NF-κB signaling, providing mechanistic insight and a promising therapeutic target for EAE and other neuroinflammatory disorders. Show less
đź“„ PDF DOI: 10.1186/s12974-025-03667-1
MC4R
Wenyong Li, Rudi Lv, Husong Su +4 more · 2025 · Scientific reports · Nature · added 2026-04-24
The Kruppel-like factor 15(KLF15) gene functions as a crucial transcriptional modulator involved in numerous cellular processes such as differentiation, proliferation, growth, and programmed cell deat Show more
The Kruppel-like factor 15(KLF15) gene functions as a crucial transcriptional modulator involved in numerous cellular processes such as differentiation, proliferation, growth, and programmed cell death. The epithelial-to-mesenchymal transition (EMT) provides malignant cells with the adaptability and movement necessary for tumor advancement and spread, with zinc finger E-box binding homeobox 1(ZEB1) playing a pivotal role as a transcriptional factor in EMT. This investigation initially examined the association between the KLF15 protein and EMT associated transcription factors such as ZEB1, Slug, and Snail, along with marker proteins like E-cadherin and β-catenin in bladder cancer. Furthermore, we explored their connections with clinicopathological attributes and conducted prognostic analyses. Immunohistochemical techniques were utilized to ascertain the presence of KLF15 protein and EMT-associated transcription factor proteins, along with their marker proteins in 110 specimens of bladder cancer tissues. Concurrently, clinicopathological data and postoperative survival statistics were amassed. The rates of KLF15 and Slug protein expression were linked with pathological differentiation, lymphatic involvement, and pTNM staging. The protein expression rates of ZEB1, Slug, Snail, E-cadherin, and β-catenin also showed associations with lymphatic metastasis and pTNM stages. Notably, the expression of KLF15, the coexpression of KLF15 and ZEB1, and lymphatic metastasis emerged as independent prognostic indicators for the overall survival rates in bladder cancer cases. EMT enhances the risk of tumor recurrence and reduces overall survival durations in bladder cancer cases. Furthermore, KLF15 is a significant contributor to the EMT pathway in bladder cancer, primarily through its interaction with the transcription factor ZEB1. KLF15 and ZEB1 might serve as key biomarkers for metastasis and prognosis, offering potential new targets for therapeutic intervention in bladder cancer. Show less
no PDF DOI: 10.1038/s41598-025-22698-5
SNAI1
Fei Lu, Lan Li, Li Wang +6 more · 2025 · Discover oncology · Springer · added 2026-04-24
This study aims to comprehensively analyze the genetic characteristics and prognostic value of stemness- and epithelial-mesenchymal transformation (EMT)-related gene signatures in lung adenocarcinoma Show more
This study aims to comprehensively analyze the genetic characteristics and prognostic value of stemness- and epithelial-mesenchymal transformation (EMT)-related gene signatures in lung adenocarcinoma (LUAD). The RNA-sequencing transcriptome profiling data and corresponding clinical information of LUAD were procured from TCGA-LUAD and GEO datasets. After screening, we first obtained 1488 stemness- and EMT-related genes. Then 304 hub genes were obtained via WGCNA, of which 52 genes were established to be prognosis-related hub genes. Thereafter, a prognostic model containing 11 genes (ANGPTL4, CCL20, ENO1, FGF2, LGR4, PIM2, S100P, SATB2, SHOX2, ZNF322, and CFTR) was constructed. We demonstrated that a higher risk score was an independent negative prognostic factor in LUAD patients. A nomogram was further constructed to better predict the survival of LUAD patients. More importantly, we found that the low-risk group has a more favorable anti-tumor immune microenvironment and may benefit more from immunotherapy. We finally noticed that the high-risk group was more sensitive to most drugs including drugs commonly used to treat LUAD patients. In conclusion, this study has summarized the alterations and prognostic role of stemness- and EMT-related gene signatures in LUAD and constructed a prognostic model to accurately and stably predict survival and guide individualized treatment decisions. Show less
đź“„ PDF DOI: 10.1007/s12672-025-02866-9
ANGPTL4
Haotian Chen, Zhengye Liu, Hanze Du +7 more · 2025 · BMJ open gastroenterology · added 2026-04-24
Gallstone disease (GD) is a common gastrointestinal disorder with a significant genetic component. Despite known risk factors, the genetic basis of GD remains incompletely understood. We aimed to iden Show more
Gallstone disease (GD) is a common gastrointestinal disorder with a significant genetic component. Despite known risk factors, the genetic basis of GD remains incompletely understood. We aimed to identify novel genetic loci associated with GD, explore their clinical implications and investigate their therapeutic potential. We conducted a genome-wide association study from the UK Biobank followed by a meta-analysis, integrating summary statistics from the FinnGen R11, with further replication from Biobank Japan. Using systematic bioinformatic approaches, we performed gene prioritisation, colocalisation analysis, transcriptome-wide association study, Mendelian randomisations, cross-trait genetic correlations, phenome-wide association study, clinical investigations and gene-environment interactions by leveraging data from the FinnGen, Genotype-Tissue Expression project and Liver Cell Atlas single-cell transcriptomics data set. Our study highlighted novel susceptibility loci near candidate genes (ie, This study provides new insights into the genetic basis of GD and highlights the role of hepatocytes in GD pathogenesis. These findings have implications for the personalised prevention strategies and new therapeutic interventions in individuals predisposed to GD. Show less
đź“„ PDF DOI: 10.1136/bmjgast-2025-001976
FADS1
Ning Wei, Lulu Hu, Jian Li +1 more · 2025 · BMC nursing · BioMed Central · added 2026-04-24
Traditional approaches to assessing sleep quality in clinical nurses often overlook population heterogeneity and the complex interplay of influencing factors. This study employs Latent Profile Analysi Show more
Traditional approaches to assessing sleep quality in clinical nurses often overlook population heterogeneity and the complex interplay of influencing factors. This study employs Latent Profile Analysis (LPA) and Association Rule Mining (ARM) to identify distinct sleep quality subgroups and uncover key factor combinations, thereby informing targeted intervention strategies. A total of 1,686 nurses from 123 hospitals in Shandong Province were recruited through multistage stratified sampling. LPA was used to classify participants based on seven sleep dimensions from the Pittsburgh Sleep Quality Index (PSQI), while ARM was applied to identify frequent itemsets of sleep disorder triggers. Key influencing factors were further examined using univariate analysis and multivariate logistic regression. Three latent sleep profiles were identified: high (63.11%), moderate (34.10%), and low (2.79%) sleep quality. The low-sleep subgroup was characterized by higher proportions of being unmarried/divorced (42.55%), low monthly income (≤ 3,000 CNY, 42.55%), non-permanent employment (76.60%), and severe psychological distress (44.68%). In contrast, the high-sleep subgroup featured higher rates of being married (85.62%), moderate income (3,001–7,000 CNY, 73.03%), and low psychological distress (51.32%). Key determinants included marital status (OR = 2.153/2.252), income (OR = 9.098), employment type (OR = 1.475), and psychological state (OR = 0.060–0.555). ARM revealed distinct risk combinations: “low income + non-permanent employment” (lift = 3.895) for the low-sleep group; “married + moderate income + non-permanent employment + patient conflict” for the moderate group; and “high income + low psychological distress” buffering night-shift effects in the high-sleep group. By integrating LPA and ARM, this study reveals the multidimensional heterogeneity and interactive mechanisms underlying clinical nurses’ sleep quality. The findings support a stratified intervention framework combining institutional safeguards with precision strategies to enhance sleep health management in nursing populations. Show less
đź“„ PDF DOI: 10.1186/s12912-025-04026-4
LPA
Y X Li, H X Peng, H D Guo +11 more · 2025 · Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi · added 2026-04-24
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases Show more
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases such as obesity. Several randomized controlled trials (RCTs) targeting obese or overweight populations have found that individuals with different genotypes exhibit varying responses to the same lifestyle intervention (gene-lifestyle intervention interactions). To date, more than 20 genes, including Show less
no PDF DOI: 10.3760/cma.j.cn112338-20250501-00297
MC4R
Kang-Fu Yin, Ting Chen, Xiao-Jing Gu +8 more · 2025 · Molecular neurobiology · Springer · added 2026-04-24
Current research lacks comprehensive investigations into the potential causal link between mitochondrial-related genes and the risk of neurodegenerative diseases (NDDs). We aimed to identify potential Show more
Current research lacks comprehensive investigations into the potential causal link between mitochondrial-related genes and the risk of neurodegenerative diseases (NDDs). We aimed to identify potential causative genes for five NDDs through an examination of mitochondrial-related gene expression levels. Through the integration of summary statistics from expression quantitative trait loci (eQTL) datasets (human blood and brain tissue), mitochondrial DNA copy number (mtDNA-CN), and genome-wide association studies (GWAS) datasets of five NDDs from European ancestry, we conducted a Mendelian randomization (MR) analysis to explore the potential causal relationship between mitochondrial-related genes and Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Lewy body dementia (LBD). Sensitivity analysis and Bayesian colocalization were employed to validate this causal relationship. Through MR analysis, we have identified potential causal relationships between 12 mitochondria-related genes and AD, PD, ALS, and FTD overlapping with motor neuron disease (FTD_MND) in human blood or brain tissue. Bayesian colocalization analysis further confirms 9 causal genes, including NDUFS2, EARS2, and MRPL41 for AD; NDUFAF2, MALSU1, and METTL8 for PD; MYO19 and MRM1 for ALS; and FASTKD1 for FTD_MND. Importantly, in both human blood and brain tissue, NDUFS2 exhibits a significant pathogenic effect on AD, while NDUFAF2 demonstrates a robust protective effect on PD. Additionally, the mtDNA-CN plays a protected role in LBD (OR = 0.62, p = 0.031). This study presents evidence establishing a causal relationship between mitochondrial dysfunction and NDDs. Furthermore, the identified candidate genes may serve as potential targets for drug development aimed at preventing NDDs. Show less
no PDF DOI: 10.1007/s12035-024-04528-3
MYO19
Xiaoqiang Wei, Lihui Wang, Haiwang Zhang +6 more · 2025 · Frontiers in microbiology · Frontiers · added 2026-04-24
Forage scarcity during the cold season poses a major challenge to livestock farming on the Qinghai-Tibet Plateau. Jerusalem artichoke (
đź“„ PDF DOI: 10.3389/fmicb.2025.1699658
LPL
Chongyang Cai, Leipeng Li, Xiaohuan Lv +12 more · 2025 · Nature communications · Nature · added 2026-04-24
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. Ho Show more
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. However, existing materials mainly cover the 380-1540 nm range, with slight extension to the UV region, impeding their applications in solar-blind imaging, background-free tracking, concealed communication, etc. To address this challenge, here we propose guidelines for far-UVC (200-230 nm) optical design. Accordingly, we achieve multi-stimulated far-UVC luminescence at ~222 nm in Pr Show less
đź“„ PDF DOI: 10.1038/s41467-025-61522-6
LPL
Ruijun Sun, Yuchi Zhang, Jingying Xu +7 more · 2025 · Archiv der Pharmazie · Wiley · added 2026-04-24
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-se Show more
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-serving as promising reservoirs of such inhibitors. Nevertheless, comprehensive screening and mechanistic characterization of their inhibitory potential remain limited. This study sought to identify potent AChE inhibitors from YGE, investigate their mechanisms of action, and assess their therapeutic prospects for AD. Methodologically, an integrated approach was employed, combining ultrafiltration-liquid chromatography (UF-LC) for rapid inhibitor screening, molecular docking and dynamics simulations for mechanistic insight, two-stage high-speed countercurrent chromatography for compound isolation, enzyme kinetics to delineate inhibition modalities, and network pharmacology to uncover relevant AD-related targets. The findings identified seven active constituents with notable AChE inhibition, among which parishins A and G were obtained at high purity (98.26% and 97.26%, respectively) and exhibited mixed-type inhibition with low IC Show less
no PDF DOI: 10.1002/ardp.70174
BACE1
Yi Han, Yun Hong, Yan Gao +11 more · 2025 · PLoS genetics · PLOS · added 2026-04-24
Heart failure (HF) is a serious cardiovascular condition resulting from abnormalities in multiple biological processes, affecting over 64 million people worldwide. We sought to expand our understandin Show more
Heart failure (HF) is a serious cardiovascular condition resulting from abnormalities in multiple biological processes, affecting over 64 million people worldwide. We sought to expand our understanding of the genetic basis of HF and more specific NICM subtype in the East Asian populations and evaluate the biological pathways underlying subclinical left ventricular dysfunction. We conducted a meta-analysis of genome-wide association studies (GWAS) for all-cause HF in the East Asian populations (N cases ~ 13,385) and a more precise definition of nonischemic cardiomyopathy (NICM) subtype in multi-ancestry populations (N cases~3,603). We identified a low-frequency East-Asian enriched coding variant near MYBPC3 and a NICM specific locus. Follow up analyses demonstrated male-specific HF association at the MYBPC3 locus, and highlighted SVIL as a candidate causal gene for NICM. Moreover, we demonstrated that SVIL deficiency aggravated cardiomyocyte hypertrophy, apoptosis and impaired cell viability in phenylephrine (PE)-treated H9C2 cells. In addition, the gene expression level of B-type natriuretic peptide (BNP) which was deemed as a hallmark for HF was further elevated by SVIL silencing in PE-stimulated H9C2 cells. RNA-sequencing analysis of H9C2 cells revealed that the function of SVIL might be mediated through pathways relevant to regulation and differentiation of heart muscle. These results enhance our understanding of the genetic architecture of HF in the East Asian populations, and provide important insight into the biological pathways underlying NICM and sex-specific relevance of the MYBPC3 locus that warrants further replication in another datasets. Show less
đź“„ PDF DOI: 10.1371/journal.pgen.1011897
MYBPC3
Xiangyang Li, Xiaomin Zhang, Nina Wei +2 more · 2025 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Hyperlipidemia and its associated hepatic steatosis pose significant global health burdens, necessitating novel therapeutic strategies. High-fat diet (HFD)-fed C57BL/6 mice received TAC (2.5, 5.0, 10. Show more
Hyperlipidemia and its associated hepatic steatosis pose significant global health burdens, necessitating novel therapeutic strategies. High-fat diet (HFD)-fed C57BL/6 mice received TAC (2.5, 5.0, 10.0 g/L) or simvastatin for 2 weeks. Metabolic parameters, serum lipid profiles, hepatic function markers, and histopathology were systematically analyzed. Molecular pathways were interrogated through qPCR, Western blot, and pharmacological inhibition of AMPK (Compound C) and PPARα (GW6471). TAC treatment demonstrated significant dose-dependent improvements across multiple parameters. Compared to HFD controls, TAC reduced body weight by 21.3% and liver index by 18.7%, while lowering fasting blood glucose levels by 32.4%. Serum analyses showed substantial reductions in total cholesterol (46.2%), triglycerides (38.5%), and LDL-cholesterol (52.1%), accompanied by a 29.8% increase in HDL-cholesterol. Hepatic function improved markedly, with ALT and AST levels decreasing by 57.3% and 49.6% respectively. Histopathological examination revealed a 68.4% reduction in hepatic lipid accumulation. At the molecular level, TAC treatment resulted in a 2.7-fold increase in AMPK phosphorylation while significantly reducing HMGCR expression by 63.1% and nuclear SREBP-1c levels by 71.5%. Concurrently, TAC upregulated PPARα and LXRα expression by 3.1-fold and 2.4-fold respectively, leading to enhanced expression of lipolytic enzymes LPL and HL by 2.8-fold and 2.1-fold. These beneficial effects were completely abolished by co-treatment with pathway-specific inhibitors. TAC ameliorates hyperlipidemia and hepatic steatosis through dual modulation of AMPK/SREBP-1c-mediated lipid synthesis and PPARα/LXRα-driven lipolysis, presenting a multifaceted therapeutic approach for metabolic disorders. Show less
đź“„ PDF DOI: 10.3389/fphar.2025.1662325
LPL
Beibei Bie, Hong Bai, Yingnan Li +2 more · 2025 · IUBMB life · Wiley · added 2026-04-24
G-patch domain-containing protein 2 (GPATCH2), a member of the G-patch domain-containing family, has been implicated in tumor cell growth, but the link between GPATCH2 and hepatocellular carcinoma (HC Show more
G-patch domain-containing protein 2 (GPATCH2), a member of the G-patch domain-containing family, has been implicated in tumor cell growth, but the link between GPATCH2 and hepatocellular carcinoma (HCC) remains uncertain. In the current study, comprehensive bioinformatics analysis revealed that GPATCH2 was markedly upregulated in HCC and positively correlated with aggressive clinicopathological features, including histologic grade, AFP, albumin level, and adjacent hepatic tissue inflammation, as well as miserable outcomes in HCC. GPATCH2 also has certain diagnostic value for HCC, histologic grade, and 1-, 3-, and 5-year survival outcomes. Functionally, loss-of-function experiments disclosed that silencing GPATCH2 suppressed HCC cell proliferation, migration, invasion, and xenograft tumor growth in the subcutaneous mouse model. Silencing GPATCH2 also resulted in an increase in the expression level of CDH1, while causing a decrease in the expression levels of FN1, TWIST1, SNAI1, and SNAI2. Rescue experiments further confirmed SNAI2 as a critical downstream effector mediating GPATCH2-driven oncogenic activity in HCC. Mechanistically, GPATCH2 was uncovered to be transcriptionally activated by the transcription factor Yin Yang 1 (YY1), and can mediate the role of YY1 in promoting HCC progression and elevating SNAI2 expression. Taken together, GPATCH2 is a YY1-regulated oncogenic driver that promotes HCC advancement through SNAI2, highlighting its potential as a diagnostic, prognostic, and therapeutic target for HCC. Show less
no PDF DOI: 10.1002/iub.70070
SNAI1
Chunqing Li, Longting Wu, Fang Hu +2 more · 2025 · Ecology and evolution · Wiley · added 2026-04-24
Understanding the adaptive evolution of brain function in extreme environments remains a central challenge in evolutionary biology. This study investigates the molecular mechanisms underlying cave ada Show more
Understanding the adaptive evolution of brain function in extreme environments remains a central challenge in evolutionary biology. This study investigates the molecular mechanisms underlying cave adaptation by comparing brain transcriptomes of sympatric cave-dwelling ( Show less
đź“„ PDF DOI: 10.1002/ece3.72652
ADCY3
Hualing Li, Junjie Wei, Zhiyi Zheng +6 more · 2025 · Free radical biology & medicine · Elsevier · added 2026-04-24
The established body of knowledge attests to the pivotal influence of ANGPTL4 on lipid metabolism and vascular biology. Nevertheless, its potential implication in neurodegenerative disease remains to Show more
The established body of knowledge attests to the pivotal influence of ANGPTL4 on lipid metabolism and vascular biology. Nevertheless, its potential implication in neurodegenerative disease remains to be fully characterized. The present investigation delves into the involvement of ANGPTL4 in the pathological progression of PD, both in vitro and in vivo. PD models were induced by intraperitoneal administration of MPTP and LPS in WT and ANGPTL4 The observations unveiled that ANGPTL4 deficiency exacerbated behavioral aberrations, intensified dopaminergic neuron loss, and stimulated microglial activation along with p21-dependent senescence. There was an elevation in the expression of proinflammatory cytokines in the PD model. Furthermore, the administration of rANGPTL4 protein reversed the observed phenotypes in ANGPTL4 Our findings posit a salutary role for ANGPTL4 in counteracting PD, rendering it a prospective therapeutic target for the development of innovative drugs aimed at treating neuroinflammation-associated neurological diseases, including PD. Show less
no PDF DOI: 10.1016/j.freeradbiomed.2024.12.009
ANGPTL4
Rongqing Li, Zikai Zhang, Xin Zhang +6 more · 2025 · BMC neurology · BioMed Central · added 2026-04-24
Symptom burden in primary brain tumor patients varies, emphasizing the need for comprehensive understanding to improve patient care. This study aims to identify distinct symptom clusters among brain t Show more
Symptom burden in primary brain tumor patients varies, emphasizing the need for comprehensive understanding to improve patient care. This study aims to identify distinct symptom clusters among brain tumor patients in Shanghai, China, using Latent Profile Analysis (LPA) to guide personalized diagnosis, treatment, and supportive care. A longitudinal study was conducted among 161 patients with primary brain tumors in Shanghai. Participants completed the MD Anderson Symptom Inventory Brain Tumor Module (MDASI-BT) at three intervals: the day of admission (T1), three days after surgery (T2), and two weeks after surgery (T3). Latent Profile Analysis (LPA) was used to identify subgroups with unique symptom patterns. Six distinct subgroups were identified (entropy = 0.964), ranging from low-burden to persistently severe patterns. Subgroup membership was partially associated with age, tumor grade, and diagnosis. These subgroups were: transient postoperative burden group, stable symptom with cognitive emergence group, distress-predominant, low burden group, elderly-high grade, persistently severe group, nausea-dominant recovery group, and distress-plus-nausea, younger urban group. Our findings reveal substantial heterogeneity in perioperative symptom experiences among brain tumor patients. Identifying subgroups with high and persistent symptom burden may help clinicians target interventions such as enhanced education, proactive monitoring, rehabilitation, psychological support, and antiemetic management. This subgroup-based approach may improve quality of life, reduce morbidity, and guide precision supportive care in neuro-oncology. Show less
đź“„ PDF DOI: 10.1186/s12883-025-04595-6
LPA
William Stewart, Bin Hu, Fengqiao Li +6 more · 2025 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabete Show more
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabetes, cardiovascular disease, and certain cancers, all of which contribute to rising rates of preventable morbidity and mortality. Current approaches to obesity, including lifestyle modifications, and pharmacotherapy, often face limitations such as poor long-term adherence, side effects, and insufficient targeting of the complex, multifactorial pathways underlying the disease. Herein we report a dual, RNA-mediated combinatorial approach using targeting lipid nanoparticles (LNP) for the treatment of obesity. LNPs were co-encapsulated with mRNA encoding Interleukin-27 (mIL-27) to coactivate PGC-1α, PPARα, and UCP-1, thereby promoting adipocyte differentiation and enhancing adaptive thermogenesis within adipocytes, and siRNA targeting Dipeptidyl peptidase-4 (siDPP-4) to silence the primary inhibitory enzyme of GLP-1, and GIP within the incretin system, effectively restoring glucose homeostasis. Following post translational silencing of DPP-4 and upregulation of IL-27 in a diet-induced obesity (DIO) mice model, increased expression of thermogenic biomarkers PGC-1α, PPARα, and UCP-1 was observed at the molecular, protein, and tissue level, and insulin sensitivity was restored. Importantly, this gene modulation led to a 21.1 % reduction of bodyweight after treatment in the DIO model. These findings demonstrate for the first time a dual RNA-mediated combinatorial approach, leveraging liver targeting LNP delivery with synergistic effects from incretin system regulation and induction of adipocyte differentiation and thermogenesis after codelivery of siDPP-4 and mIL-27. This innovative strategy provides a promising alternate framework for addressing obesity and its associated metabolic dysfunction. Show less
no PDF DOI: 10.1016/j.jconrel.2025.113857
IL27
Qiusheng Li, Changjing Wang, Guiying Wang · 2025 · Scientific reports · Nature · added 2026-04-24
COL4A1, a key component of the basement membrane, has been increasingly implicated in tumor progression, yet its role in colon cancer remains incompletely understood. In this study, we conducted a com Show more
COL4A1, a key component of the basement membrane, has been increasingly implicated in tumor progression, yet its role in colon cancer remains incompletely understood. In this study, we conducted a comprehensive integrative analysis using transcriptomic data from the TCGA-COAD cohort, combined with functional validation in colon cancer cell lines. Gene set enrichment analysis (GSEA) revealed that high COL4A1 expression was associated with oncogenic pathways including epithelial-mesenchymal transition (EMT), KRAS signaling, and inflammatory responses. Immune infiltration analysis indicated that COL4A1 expression negatively correlated with CD8 Show less
no PDF DOI: 10.1038/s41598-025-17230-8
SNAI1