👤 Meng-Miao 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, Qingchao Li, Yan-Xue Li, Xikun Li, Guobin Li, Hong-Tao Li, Enhong Li, Xiangnan Li, Yong-Jun Li, Ziming Li, Hang Li, Rongqing Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Jiajie Li, Shunqin Li, Zhao-Yang Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Peiwu Li, Youran Li, Yongmei Li, Changyu Li, Ran Li, X Y Li, Peilin Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Z Li, Ye Li, Guanglve Li, Zili Li, Xinmei Li, Yihao Li, Liling Li, Qing Run Li, Wulan Li, Meng-Yang Li, Ziyun Li, Haoxian Li, Xiaozhao Li, Jun-Ying Li, Da-Lei Li, Xinhai Li, Yongjiang Li, Wanru Li, Jinming Li, Huihui Li, Wenhao Li, Qiankun Li, Kailong Li, Shengxu Li, Shisheng Li, Sai Li, Guangwen Li, 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, Xueyang Li, Xuelin Li, Fa-Hui Li, Zhen-Yuan Li, Caiyu 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, Shuaicheng Li, C Y Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Z-H Li, Yongli Li, Baohong Li, Hujie Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Hualing Li, Wen-juan Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Jingya Li, Huanan Li, Liqin Li, Youjun Li, Zheng-Dao Li, Miao X Li, Zhenshu Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Kangli Li, Ming Li, Runwen Li, Wenbo Li, Yarong Li, Side Li, Timmy Li, Weidong Li, S E Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Chuan-Hai Li, Lingxi Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Zhongyu Li, Qin Li, Deyu Li, Zhen-Yu Li, Hansen Li, Annie Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Qintong Li, Xiao Li, Junping Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Shengchao A Li, Pan Li, Jiaying Li, Ruonan Li, Cui-lan Li, Jun-Jie Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Chengquan Li, Suyan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Tianjun Li, Desen Li, Yansong Li, Xiying Li, Zihao Li, Weiyong Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, Wan Jie Li, L K Li, Ya-Ting Li, Aimin Li, Dongbiao Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Peiyun Li, Xiuqi Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Da Li, Yuancong Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yu Li, Minhui Li, Yvonne Li, Yiwei Li, Jiayuan Li, Xiangzhe Li, Zhichao Li, Minglun Li, Yige Li, Siguang 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, Hailong Li, Hua-Zhong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Si Li, Xiangyun Li, Jing Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Dengke Li, Zijing Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, 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, Mengxuan Li, Panyuan Li, Gang Li, Ziyu Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Xiaojuan Li, Weina Li, Xiao-Hui Li, Dongnan Li, Huaiyuan Li, Rui-Fang Li, Jianzhong Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Pei-Ying Li, Bing Li, Huihuang Li, Yunmin Li, Shaobin 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, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Lijun Li, Supeng Li, Hening Li, Yiju Li, Yuanhe Li, 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, Meitao Li, Yongjing Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Boxuan Li, Huixue Li, Jiqing Li, Hehua Li, Yucheng Li, Qingyuan Li, Yongqi Li, Fengqi Li, Yuqing Li, Zhigang Li, Guiyang Li, Guo-Qiang Li, Dujuan Li, Yanbo Li, Yuying Li, Shaofei Li, Sanqiang Li, Shaoguang Li, 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, Conglin Li, Jutang Li, Qingli Li, Yongxiang Li, Miao Li, Qilong Li, Songlin 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, Mi Li, Youming Li, Dong-Yun Li, Qingrun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Fengfeng Li, Yumiao Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Qingyang Li, Yuxi Li, Xiao-Dong Li, Chenxuan Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Xiaolei Li, Zhenlu Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Zhenming Li, Xuelian Li, Chunjun Li, Shu-Fen Li, Changyan Li, Yinghua Li, Mulin Jun Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Chaoying Li, Qiu Li, Juanjuan Li, Xiangyan Li, Guangzhen Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Jifang Li, Zhenjia Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Lijia Li, Zehan Li, 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, Xiang-Jun Li, Hongyi Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Keqing Li, Junxian Li, Zhihua 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, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Nan-Nan Li, Chanjuan Li, Hongming Li, Lan-Lan Li, Shuang Li, Lingyi Li, Yanchuan Li, Wanting Li, Bai-Qiang Li, Gong-Hua Li, Zhengyu Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Weiguang Li, Mingyao Li, Guoqing Li, Ze Li, Xiaomeng Li, R H L Li, Yuanze Li, Yunqi Li, Yuandong Li, Guisen Li, Dongyang Li, Jinglin Li, Honglong Li, Mingfang Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Yinggao Li, Dingshan Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Jin-Jiang Li, Cheng-Tian Li, Chang Li, Zhi-Xing Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong 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, Lixiang Li, Tian-wang 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, Zipeng Li, Mingyue Li, Caixia Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yanfeng Li, Yaqin 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, Ziyang Li, Sitao Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Shuai Li, Anqi Li, Bingsong Li, Xiaoju Li, Ting Li, Zhenyu Li, Xiaonan Li, Xiang-Yu Li, Duan Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Yanchang Li, Xunjia Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Zong-Xue Li, En-Min Li, Chunya Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Qian-Qian Li, Yuanheng Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Kaiwei Li, Jie-Shou 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, Yanyan Li, Shanglai Li, Shulin Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Xueying Li, Jun-Ru Li, JunBo Li, Xiaoqi Li, Zhaobing Li, Xiucui Li, Haihua Li, Linxin Li, Yu-Lin Li, Jen-Ming Li, Shujing Li, Tsai-Kun Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Xiyun Li, Yi-Wen Li, Huifeng Li, Shihong 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, Yangxue Li, Danni 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, Jiafei Li, Changhui Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Shu-Fang Li, Huang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, Nan Li, Gongda Li, Wei-Ping Li, Yajun Li, Yipeng Li, Mingxing Li, Nanjun Li, Xin-Yu Li, Chunyu Li, P H Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Ranran Li, Suping Li, Long Shan Li, Yanze Li, Jason Li, Xiao-Feng Li, Monica M Li, Fengjuan Li, W Li, Xianlun Li, Qi Li, Hainan Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Xionghui Li, Fei Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Kang Li, Hongmei Li, Peilong Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Wenhong Li, Quanpeng Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Guohua Li, Wen-Ting Li, Kezhen Li, Guoping Li, Xingxing Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Jianang Li, Xue-Peng Li, Qing Li, Jiaping Li, Sheng-Tien Li, 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, Kaibo Li, Xinxiu Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Meng-Hua Li, Shaodan Li, Yongzheng Li, J T Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Zheng Li, Ming-Hao Li, Donghe Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Jingqi Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Xiao-Kang Li, Chong Li, Fugen Li, Hanqi Li, Yangyang Li, Yuwei Li, Xiaochen Li, Dongfang Li, Zizhuo Li, Zhuorong Li, X-H Li, Dong Sheng Li, Xianrui Li, Lan-Juan Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Huanqiu Li, Bing-Heng Li, Xiaoman 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, Wanyan Li, Yumin Li, Guiying Li, Longyu Li, Jinku Li, X B Li, Changgui Li, Zhisheng Li, Cuiling Li, Xuekun Li, Yuguang Li, Wenke Li, Jianguo Li, Jiayi Li, En Li, Ximei Li, Shaoyong Li, Kai-Wen Li, Suwen Li, Peihua Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Xinmiao Li, Yuzhe 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, Shujie Li, Guoxing Li, Zongchao Li, Yanbin Li, Shiliang Li, Jia Li, Haimin Li, Sheng-Qing Li, Qinrui Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Yiwen Li, Tie Li, Baoqi Li, Leyao Li, Wei-Bo Li, Xiaoyi Li, Liyan Li, Xiao-Qin Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Minzhe Li, Wenfeng Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Jin Li, Shibo Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, Hui Li, AnHai Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinghua Li, Lipeng Li, Qinqin Li, Leilei Li, Defu Li, Ranchang Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Shunhua Li, Yu-I Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Ziqi Li, Shen Li, Tianjiao Li, Shufen Li, Yunfeng Li, Gui-Rong Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Sin-Lun Li, Yuping Li, Mengfan Li, Weiling Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Jialin Li, Wenjian 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, Michelle Li, Chaojie 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, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Jieshou Li, Lin Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang Li, S L Li, Xionghao Li, Ming-Kai Li, Shunqing Li, Lan Li, Menglu Li, Huiqing Li, Yanwei Li, Yantao Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Ruolin Li, Yongle Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, Dong-Ling Li, M 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, Shengli Li, Shugang Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Ru Li, Yongxin Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Bingbing Li, Qinglin Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, Zhenyan Li, H J Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Yuezheng Li, Qiang 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, Fulun Li, Xiao-Qiu Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Chun Li, Lihong 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, Xiaojiao Li, H Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Xiao-Jing Li, Li-Min Li, Yunsheng Li, Xiangqi Li, Y H Li, Jian 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, Qiao Li, Xueling Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Yihan Li, Chitao Li, Haiyang Li, Jiayu Li, Xiaobai Li, Junsheng 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, Kenli Li, Guanglu Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Yubin Li, Dazhi Li, Beixu Li, Yuhong Li, Di Li, Fengqiao Li, Guiyuan Li, Yanbing Li, Suk-Yee Li, Yuanyuan Li, Jufang Li, Shengjie Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Xiyue Li, Minghua 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, Xiujuan Li, Yongsheng Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Ding Li, Yuling Li, Wendeng Li, Yetian Li, Xianlin Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Shengze Li, Linyan 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, Ji-Lin Li, Congcong Li, Ping'an Li, Yushan Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, He-Zhen Li, G-P Li, Xiaobin Li, Shaoqi Li, Yinliang Li, Yuehua Li, Wen Li, Jinfeng Li, Shiheng Li, Jiangan Li, Yu-Kun Li, Weihai Li, Hsiao-Fen Li, Zhaojin Li, Bingxin Li, Mengjiao Li, Wenjuan Li, Meng-Meng Li, Tianxiang Li, Wenyu Li, Chia-Yang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Haiyan Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zhijun Li, Zechuan Li, Jiazhou Li, Sherly X Li, Wanling Li, Ya-Ge Li, Yinyan Li, Qijun Li, Rujia Li, Guangli Li, Zhiwei Li, Lixia Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Xuejun Li, Fengxiang Li, Nana Li, Shunwang Li, Yaqing Li, Chao Li, Bingsheng Li, Yaqiao Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Zhixiong Li, Chumei Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Xuyi Li, Binghua Li, Hanjun Li, Yunchu Li, Zhengyao Li, Jin-Qiu Li, Qihua Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Keanning Li, Wei-Li Li, Yongjin Li, Shuangxiu Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Jianrong Li, Baoguo Li, Zhehui Li, Chenghao Li, Jiuyi Li, Luyao Li, Chun-Xu Li, Weike Li, Desheng Li, Chuanbao Li, Long-Yan Li, Zhixuan 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, Shu-Qi Li, Haibin Li, Zehua Li, Huangbao Li, Guo-Chun Li, Xinli Li, S Li, Mengyuan Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Wensheng Li, Dehai Li, Jiannan Li, Qingshang Li, Guanbin Li, Zhiyi Li, Hanbin Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, Xiaoyuan Li, Huanhuan Li, Yanan Li, Zongfang Li, Yang Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, BoWen Li, Duoyun Li, Dongdong Li, Yimei Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Zhi-qiang Li, Shaojing Li, S S Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Tong Li, Lihua Li, Yilong Li, Xue-Lian Li, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Yuemei Li, Yanli Li, Jingfeng Li, Zhi-Yuan Li, Hai Li, Kaibin Li, Yuan-Jing Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Mengjuan Li, Xiao-Hong Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Baosheng Li, Zhonglian Li, Yujun Li, Mian Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Yanqing Li, Zijian Li, Jixuan Li, Zhandong Li, Xuejie Li, Congjiao Li, Meng-Jun Li, Peining Li, Gaizhen Li, Huilin Li, Songtao Li, Liang Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Dongye Li, Qun Li, Cuiguang 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, Honggang Li, Jingyong Li, Wei-Yang Li, Rong Li, Shikang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Zixiao Li, Ming Xing Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Bei-Bei Li, Hong-Lian Li, Haitong Li, Xiumei Li, 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, 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, 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, Junhong Li, Youchen 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, Hao-Fei Li, Haolong Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Huijuan Li, Haiyu Li, Yunze Li, Xu-Zhao Li, Yanzhong Li, Guohui Li, Kainan 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, 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, Xiaomin Li, Sijie Li, Dengxiong Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Zhouxiang Li, Qiuyan Li, Tingguang Li, Yun-tian Li, Jianliang Li, Xiangyang Li, Guangzhao Li, Yixi Li, Chunjie Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Dongtao Li, Wenqun Li, Guixia Li, Fengyuan Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Bingjue Li, Xixi Li, Yan-Chun Li, Binghu Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Zhenguang Li, Xiaotian Li, Jia-Ru Li, Shuhui Li, Shu-Hong Li, Chun-Xiao Li, Pei-Qin Li, Shuyue Li, Mengying Li, Fangyan Li, Quan-Zhong Li, Tongzheng Li, Yihong Li, Duo Li, Dali Li, Yaxian Li, Zhiming Li, Xuemei Li, Hongxia Li, Xueting Li, Yongting Li, Zhenjun Li, Danyang Li, Ren Li, Tiandong Li, Lanfang Li, Hongye Li, Mingwei Li, Di-Jie 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, Yaojia Li, Shujiao Li, Weirong Li, Xiao-Yao Li, Kun-Ping Li, Weihua Li, Shangming Li, Yibo Li, Yaqi Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao 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, Joyce Li, Suheng Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Junru Li, Zhiqiang Li, Hecheng Li, Jiangchao Li, Haifeng Li, Changkai Li, Yueping Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, Chaoqian Li, Yunman Li, Shuhua Li, Yu-Cheng Li, Chunying Li, Yirun Li, Haomiao Li, Leipeng Li, Weiheng Li, Qianqian Li, Baizhou Li, YiQing Li, Zhengliang Li, Han-Ru Li, Sheng Li, Wei-Qin Li, Weijie Li, Yaqiang Li, Guoyin Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, Chanyuan Li, Jianbin Li, Shiying Li, Jianxiong Li, Ji Li, Huaying Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Zhongzhe Li, Xiang Li, Yumei Li, Chaonan Li, Xiang-Ping 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
Dandan He, Renfeng Du, Runli Tian +4 more · 2025 · Neuroreport · added 2026-04-24
This study aimed to investigate the therapeutic effects of minocycline on neuropathic pain by examining its regulatory influence on hippocampal proinflammatory cytokines and brain-derived neurotrophic Show more
This study aimed to investigate the therapeutic effects of minocycline on neuropathic pain by examining its regulatory influence on hippocampal proinflammatory cytokines and brain-derived neurotrophic factor (BDNF) levels, given the established involvement of neuroinflammation and BDNF dysregulation in the pathogenesis of neuropathic pain and associated neurological dysfunctions. This study used a rat model of neuropathic pain induced by L5 spinal nerve transection (L5-SNT). Forty-eight male Sprague-Dawley rats were divided into four groups: naive, sham-operated, model + saline, and model + minocycline. Minocycline was administered intraperitoneally at 40 mg/kg daily. Mechanical allodynia was assessed using the von Frey test, while real-time reverse transcription and ELISA were employed to quantify hippocampal expression of tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), IL-1β, and BDNF at various time points postsurgery. L5-SNT induced significant mechanical allodynia in the model + saline group, which was significantly attenuated by minocycline treatment in the model + minocycline group on days 3, 7, and 11 postsurgery (P < 0.05). Minocycline significantly reduced TNF-α, IL-6, and BDNF levels in the hippocampus, particularly on day 7 post-SNT (P < 0.05); however, minocycline did not significantly affect IL-1β levels. These findings suggest that minocycline's analgesic effects may be mediated through the downregulation of key proinflammatory cytokines and BDNF in the hippocampus. Minocycline administration significantly mitigates mechanical allodynia and modulates hippocampal neuroinflammatory markers in a rat model of neuropathic pain. These results highlight minocycline's potential as a therapeutic option for neuropathic pain, particularly in targeting neuroinflammation within the hippocampus. Show less
no PDF DOI: 10.1097/WNR.0000000000002221
BDNF bdnf hippocampal minocycline neuroinflammation neuropathic pain neurotrophic factor pain management
Pedro A Laires, Xiaolei Li, Aishwarya M Uday +2 more · 2025 · Open heart · added 2026-04-24
Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with cardiomyopathy (ATTR-CM), polyneuropathy (ATTR-PN) or both (ATTR-mixed). We retrospectively ana Show more
Amyloid transthyretin (ATTR) amyloidosis is a rare, life-threatening disease frequently manifesting with cardiomyopathy (ATTR-CM), polyneuropathy (ATTR-PN) or both (ATTR-mixed). We retrospectively analysed US electronic health records and claims data to provide up-to-date estimates of ATTR amyloidosis epidemiology (overall and by phenotype). Data were extracted from the Clarivate Real-World Data repository (2016-2023). Given the lack of established coding for ATTR amyloidosis, we used different combinations of diagnostic codes to obtain narrow and broad estimates of incident and prevalent cases in the USA in 2022. Temporal trends (2019-2022) were also assessed. Using narrow definitions, the 2022 estimated incidence of ATTR amyloidosis overall, ATTR-CM, ATTR-PN and ATTR-mixed was 16.6, 12.7, 3.5 and 1.9 cases per million people, respectively; the corresponding prevalence estimates were 59.8, 41.1, 15.1 and 9.8 cases per million people. Estimates were consistently lower with the narrow (vs broad) definitions. Over time, the incidence and prevalence of ATTR amyloidosis overall increased, driven by ATTR-CM cases. No major changes were reported for the other phenotypes. This study provides comprehensive and up-to-date epidemiological data for ATTR amyloidosis in the USA. Our findings corroborate the need for appropriate differential diagnostic coding and standardised criteria. Show less
📄 PDF DOI: 10.1136/openhrt-2025-003781
LPA
Xiao Li, Xianglong Huang, Keyan Song +5 more · 2025 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Atherosclerosis is the leading cause of cardiovascular disease-related morbidity and mortality. The traditional Chinese medicine Qingre Sanjie Formula (QRSJF), composed of Prunellae Spica, Sargassum, Show more
Atherosclerosis is the leading cause of cardiovascular disease-related morbidity and mortality. The traditional Chinese medicine Qingre Sanjie Formula (QRSJF), composed of Prunellae Spica, Sargassum, Fritillariae Thunbergii Bulbus, Leonuri Herba, and Forsythiae Fructus, has shown efficacy in treating cardiovascular diseases, although its mechanisms are unclear. This study aimed to explore the protective effects of QRSJF against atherosclerosis and the mechanisms involved. The composition of QRSJF was analyzed using Ultra Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry. An 8-week high-fat diet (HFD)-induced atherosclerosis model was established in ApoE Both low- and high-dose QRSJF effectively attenuated dyslipidemia and decreased serum inflammatory cytokine levels in HFD-fed ApoE QRSJF improves dyslipidemia and reduces atherosclerotic plaque in ApoE Show less
no PDF DOI: 10.1016/j.phymed.2025.156691
NR1H3
Bo Wang, Jia Zhao, Yanmin Zhang +14 more · 2025 · Cardiology · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is a common inherited heart condition. Traditional genetic testing is typically conducted on the proband only, with family members undergoing Sanger sequencing, which Show more
Hypertrophic cardiomyopathy (HCM) is a common inherited heart condition. Traditional genetic testing is typically conducted on the proband only, with family members undergoing Sanger sequencing, which may overlook other pathogenic variants. This study explores the gene sequencing strategy in a three-generation family based on genetic carrier status and examines the relationship between phenotypic characteristics and genotype. High-throughput second-generation sequencing was performed on the proband to analyze HCM-related pathogenic genes. Subsequently, the identified pathogenic variants were validated by Sanger sequencing in the proband and family members. Clinical, electrocardiographic, and echocardiographic assessments were conducted for family members. Second-generation sequencing of the proband (III7) revealed a pathogenic variant MYBPC3-P453Lfs. Initially, no HCM-related pathogenic variants were detected in another patient (III11), prompting additional sequencing of III11, which identified the MYH7-G823E pathogenic variant. Both patients had severe left ventricular outflow tract obstruction. Sanger sequencing showed that five family members carried both mutations. Among them, three died suddenly before age 40, one required an implantable cardioverter defibrillator for arrhythmias, and one developed HCM before adulthood. Cardiac magnetic resonance imaging (MRI) of patients carrying both mutations showed myocardial fibrosis of 32.75%, significantly higher than the 6.98% observed in patients carrying only one mutation. In families with varying HCM phenotypes, second-generation sequencing should be considered for all members. In this family, carrying one variant led to outflow tract obstruction, while carrying both variants resulted in severe disease, including sudden death and early onset. Cardiac MRI is crucial for assessing the severity of the disease within the family. Show less
no PDF DOI: 10.1159/000548235
MYBPC3
Günther Silbernagel, Yan Q Chen, Hongxia Li +19 more · 2025 · Circulation · added 2026-04-24
ANGPTL3/4/8 (angiopoietin-like proteins 3, 4, and 8) are important regulators of LPL (lipoprotein lipase). ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4. ANGPTL4/8 complex formation converts ANGPTL Show more
ANGPTL3/4/8 (angiopoietin-like proteins 3, 4, and 8) are important regulators of LPL (lipoprotein lipase). ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4. ANGPTL4/8 complex formation converts ANGPTL4 from a furin substrate to a plasmin substrate, and both cleavages generate similar C-terminal domain-containing (CD)-ANGPTL4 fragments. Whereas several studies have investigated associations of free ANGPTL proteins with cardiovascular risk, there are no data describing associations of the complexes and CD-ANGPTL4 with outcomes or describing the effects of the complexes on LPL bound to GPIHBP1 (glycosylphosphatidylinositol HDL-binding protein 1). Recombinant protein assays were used to study ANGPTL protein and complex effects on GPIHBP1-LPL activity. ANGPTL3/8, ANGPTL3, ANGPTL4/8, and CD-ANGPTL4 were measured with dedicated immunoassays in 2394 LURIC (Ludwigshafen Risk and Cardiovascular Health) study participants undergoing coronary angiography and 6188 getABI study (German Epidemiological Trial on Ankle Brachial Index) participants undergoing ankle brachial index measurement. There was a follow-up for cardiovascular death with a median (interquartile range) duration of 9.80 (8.75-10.40) years in the LURIC study and 7.06 (7.00-7.14) years in the getABI study. ANGPTL3/8 potently inhibited GPIHBP1-LPL activity and showed positive associations with LDL-C (low-density lipoprotein cholesterol) and triglycerides (both ANGPTL3/8 potently inhibited GPIHBP1-LPL enzymatic activity, consistent with its positive association with serum lipids. However, ANGPTL3/8, LDL-C, and triglyceride levels were not associated with cardiovascular death in the LURIC and getABI cohorts. In contrast, concentrations of ANGPTL4/8 and particularly CD-ANGPTL4 were positively associated with inflammation, the prevalence of diabetes, and cardiovascular mortality. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.124.069272
ANGPTL4
Juan Li, Huai Wei, Ning Wang +6 more · 2025 · Biological trace element research · Springer · added 2026-04-24
In recent years, the concentration of PM
no PDF DOI: 10.1007/s12011-024-04386-z
LPL
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
📄 PDF DOI: 10.1186/s12974-025-03667-1
MC4R
Shuo Wang, Yunhui Lv, Xiaohu Wang +17 more · 2025 · Journal of nanobiotechnology · BioMed Central · added 2026-04-24
Impaired excretion of lipid deposits within vascular smooth muscle cell-derived foam cells (VSMC-FCs) contributes to the ongoing expansion of the plaque necrotic core. This study aims to explore the e Show more
Impaired excretion of lipid deposits within vascular smooth muscle cell-derived foam cells (VSMC-FCs) contributes to the ongoing expansion of the plaque necrotic core. This study aims to explore the effects and underlying mechanisms of exosomes secreted by M2 macrophage (M2-exos) on lipid metabolism of VSMC-FCs and plaque stability. First, immunofluorescence was used to detect the expression levels of CD45 (a recognized differentially-expressed molecule of myeloid and VSMC-FCs) and the key proteins of cholesterol efflux pathway, ABCA1 and ABCG1, in human early and late plaques. Next, an in vitro foam cell model was used to assess the effect and mechanism of M2-exos on lipid metabolism in vascular smooth muscle cells by western blot, Oil red O staining and cell total cholesterol assays. RNA-seq and quantitative real-time PCR were employed to characterize the miRNA profiles within M2-exos. The dual-luciferase reporting system and gene silencing approaches were utilized to assess the regulatory effect of candidate miRNA on target genes and signaling pathways. Subsequently, the effect of M2-exos on plaque progression and stability in ApoE Immunofluorescence revealed that compared to early plaques, VSMC-FCs (CD45 M2-exos exerted an obvious atherosclerotic protective effect, and the underlying mechanism was closely related to MiR-7683-3p, which targeted the 3'UTR of HOXA1 mRNA and activated the PPARγ-LXRα-ABCG1 mediated cholesterol efflux in VSMC-FCs. Show less
no PDF DOI: 10.1186/s12951-025-03690-7
NR1H3
Xingjing Liu, Huimei Yu, Tongtong Hu +7 more · 2025 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
Abnormal lipid accumulation is an important cause of metabolic dysfunction-associated fatty liver disease (MAFLD) progression and can induce several stress responses within cells. This study is the fi Show more
Abnormal lipid accumulation is an important cause of metabolic dysfunction-associated fatty liver disease (MAFLD) progression and can induce several stress responses within cells. This study is the first to explore the role and molecular mechanism of stress granules (SGs) in MAFLD. A gene knock-down model of G3BP1, a core SG molecule in mice and HepG2 cells, was constructed to explore the role of SGs in MAFLD induced in vivo by a high-fat diet or in vitro by palmitic acid (PA). Methods included metabolic phenotyping; western blotting; qPCR; and immunofluorescence, haematoxylin/eosin and masson staining. The downstream molecules of G3BP1 and its specific molecular mechanism were screened using RNA sequencing (RNA-seq). G3BP1 and TIA1 expression were upregulated in high-fat diet-fed mouse liver tissues and PA-induced HepG2 cells, and the two molecules showed significantly increased colocalisation. G3BP1 knock-down slightly increased TIA1 expression in the livers of obese mice but not in lean mice. G3BP1 deficiency aggravated liver lipid deposition and insulin resistance in obese mice, and this phenotype was confirmed in vitro in PA-induced hepatocytes. RNA-seq demonstrated that G3BP1 slowed down MAFLD progression by inhibiting APOC3, possibly through a mechanistic suppression of APOC3 entry into the nucleus. This study reveals for the first time a protective role for SGs in MAFLD. Specifically, knocking down the core G3BP1 molecule in SGs aggravated the progression of fatty acid-induced MAFLD through a mechanism that may involve the nuclear entry of APOC3. These findings provide a new therapeutic direction for MAFLD. Show less
no PDF DOI: 10.1111/dom.16302
APOC3
Yong Tan, Zixiong Zhang, Jinru Yang +8 more · 2025 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nona Show more
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nonalcoholic fatty liver (NAFLD) remains unclear. We used serum untargeted metabolomics analysis to evaluate whether high-Se exposure is cross-sectionally associated with lipid metabolism in adults from high-Se exposure area (n = 112) and control area (n = 101) in Hubei Province, China. An untargeted liquid chromatography/mass spectrometry (LC/MS)-based metabolomic analysis identified 144 differential pathways and yielded 204 differentially abundant metabolites, including 32 lipid metabolites associated with lipids profiles. To further explore the correlation between Se exposure and serum lipid metabolism, we measured serum levels of lipid profiles among all the people, including serum cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and apolipoprotein B (APOB). The average serum Se level of the high-Se exposure group was 537.18 μg/L, significantly higher than 72.98 μg/L in the control group (p < 0.0001). The measurement levels of serum TG, LDL-C, HDL-C, and APOB in the high-Se exposure group were 1.03 (0.76, 1.34) mmol/L, 2.25 ± 0.48 mmol/L, 1.12 ± 0.24 mmol/L, and 0.77 ± 0.15 g/L, respectively, while the control group were 1.13 (0.84, 1.80) mmol/L, 2.56 ± 0.61 mmol/L, 1.02 ± 0.22 mmol/L, and 0.83 ± 0.16 g/L, respectively (all p values <0.05). Correlation analysis showed a significant negative correlation between serum Se and CHOL (r = -0.201, p < 0.01), serum Se is also associated with metabolomics markers, the negative correlation includes glyceric acid and ect., the positive correlation includes phosphorylcholine and ect. Our study suggests that high-Se exposure is negatively associated with serum lipid profiles and decreases the risk of high-TC and HDL-C dyslipidemia. Show less
no PDF DOI: 10.1016/j.ecoenv.2025.117677
APOB
Yu Wang, Haiyue Zhang, Yuanyuan Zhan +4 more · 2025 · PloS one · PLOS · added 2026-04-24
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship Show more
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship between blood lipid profiles and sepsis risk remains uncertain. This study aims to investigate the association between genetically predicted lipid traits, drug targets, and sepsis. The UK Biobank's Genome-wide association studies (GWAS) produced data on lipid and apolipoprotein characteristics. Four independent GWAS datasets were used to generate the sepsis statistics. The study utilized the two-sample Mendelian randomization (MR) approach, which incorporates multivariable (MVMR) models, to assess the correlations between sepsis risk and lipid-related parameters. To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering. Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861-0.999; p = 0.047). This inverse correlation persevered even after performing multivariable MR. Elevated levels of HDL-C were associated with a decreased risk of sepsis (under 75) (OR 0.897, 95% CI 0.838-0.960; P = 0.002) and incidence of sepsis (OR 0.883, 95% CI 0.820-0.951; P = 0.001), which was consistent across sensitivity analyses. Furthermore, a decrease in total cholesterol exhibited a causal effect on sepsis in multivariable MR (OR 0.779, 95% CI 0.642-0.944; P = 0.01). The genetic variants related to lowering LDL-C, located near the HMGCR and LDLR genes, were predicted to elevate the risk of sepsis. Moreover, genetic mimicry near the ANGPTL3 and LPL gene suggested that reducing the activity of ANGPTL3 and LPL (mimicking antisense anti-ANGPTL3 and LPL agents) was forecasted to decrease sepsis risk. Genetically inferred elevated ApoA-1, total cholesterol, and HDL-C manifest a protective effect against sepsis. Within the 9 lipid-lowering drug targets investigated ANGPTL3 and LPL exhibit potential as candidate drug targets for sepsis. Show less
📄 PDF DOI: 10.1371/journal.pone.0331023
LPL
Zhigang Hu, Yingjie Cai, Chang Cao +5 more · 2025 · Poultry science · Elsevier · added 2026-04-24
Skin color of poultry, an important economic trait, is related to breed, feed, environment, and other factors. In recent years, China's duck industry has developed rapidly, and duck products are welco Show more
Skin color of poultry, an important economic trait, is related to breed, feed, environment, and other factors. In recent years, China's duck industry has developed rapidly, and duck products are welcomed by consumers. Different skin colors of ducks have different cooking methods. Black skinned duck, such as Yulin black duck, is more popular in China because they are considered more suitable for making soup, while other skin colors, such as Pekin duck, is used for roasting. In order to gain a deeper understanding of the genetic factors associated with differences in duck skin color, the transcriptomes and metabolomes of skin between Yulin black duck and Pekin duck from 15 (BSE15 vs. PSE15), 21 (BSE21 vs. PSE21) and 27 (BSE27 vs. PSE27) days of incubation were compared and analyzed. The transcriptome results showed that a total of 187 (118 up-regulated and 69 down-regulated), 417 (91 up-regulated and 326 down-regulated) and 137 (55 up-regulated and 82 down-regulated) differentially expressed genes (DEGs) were identified from BSE15 vs. PSE15, BSE21 vs. PSE21 and BSE27 vs. PSE27, respectively. The significantly enriched GO terms of biological process were positive regulation of melanin biosynthetic process, melanin biosynthetic process, cuticle development, melanin biosynthetic process from tyrosine, and melanocyte differentiation, which were potentially related to skin growth and development. Eleven significant pathways, highly enriched by DCT, TYR, ASIP, TYRP1, KIT, PHOSPHO2, CERS3, SGPP2, SPTLC3, DEGS2, PATJ, RBP7, AOX1, ETNPPL, HPGDS, and GAD1, were melanogenesis, tyrosine metabolism, vitamin B6 metabolism, sphingolipid metabolism, protein digestion and absorption, tight junction, alpha-linolenic acid metabolism, arachidonic acid metabolism, linoleic acid metabolism, nicotinate and nicotinamide metabolism, and alanine, aspartate and glutamate metabolism, which participated in regulating the development of duck skin during embryonic stage. The significantly different metabolites (SDMs) were mainly organoheterocyclic compounds, lipids and lipid-like molecules, organic oxygen compounds, organic acids and derivatives, including L-tyrosine, N-arachidonyl maleimide, glycerophospho-N-palmitoyl ethanolamine, LPE 22:4, and PC(0:0/18:0). which were mainly enriched in glycerophospholipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, alpha-linoleic acid metabolism, and melanogenesis in metabolome, suggesting that these pathways may play important roles in skin development of duck during embryonic stage. Besides, the analysis of integrated transcriptome and metabolome indicated that the pathways, including glycerophospholipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, and alpha-linolenic acid metabolism, could contribute to regulating skin development in embryonic duck. Our findings could help elucidate the genetic mechanisms underlying the development differences in duck skin color. Furthermore, the candidate genes and metabolites can be used to provide a valuable breeding strategy for the selection of specific duck breeds with ideal skin coloration. Show less
no PDF DOI: 10.1016/j.psj.2025.105403
PATJ
Haokang Feng, Zhixue Chen, Jianang Li +13 more · 2025 · iScience · Elsevier · added 2026-04-24
Pancreatic cancer (PC), characterized by the absence of effective biomarkers and therapies, remains highly fatal. Data regarding the correlations between PC risk and individual plasma proteome known f Show more
Pancreatic cancer (PC), characterized by the absence of effective biomarkers and therapies, remains highly fatal. Data regarding the correlations between PC risk and individual plasma proteome known for minimally invasive biomarkers are scarce. Here, we analyzed 1,345 human plasma proteins using proteome-wide association studies, identifying 78 proteins significantly associated with PC risk. Of these, four proteins (ROR1, FN1, APOA5, and ABO) showed the most substantial causal link to PC, confirmed through Mendelian randomization and colocalization analyses. Data from two clinical cohorts further demonstrated that FN1 and ABO were notably overexpressed in both blood and tumor samples from PC patients, compared to healthy controls or para-tumor tissues. Additionally, elevated FN1 and ABO levels correlated with shorter median survival in patients. Multiple drugs targeting FN1 or ROR1 are available or in clinical trials. These findings suggest that plasma protein FN1 associated with PC holds potential as both prognostic biomarkers and therapeutic targets. Show less
📄 PDF DOI: 10.1016/j.isci.2024.111693
APOA5
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
Wei Zhang, Na Li · 2025 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Individuals with bipolar disorder (BD) exhibit a significantly increased risk of cardiovascular disease, yet the specific mechanisms linking heart failure (HF) and BD remain poorly understood. This st Show more
Individuals with bipolar disorder (BD) exhibit a significantly increased risk of cardiovascular disease, yet the specific mechanisms linking heart failure (HF) and BD remain poorly understood. This study aimed to identify common potential diagnostic biomarkers associated with both conditions. Differentially expressed genes (DEGs) were analyzed separately in HF (GSE57338) and BD (GSE5389) datasets. Key module genes for each condition were identified through co-expression network analysis and intersected with DEGs to pinpoint candidate genes. Subsequently, a protein-protein interaction (PPI) network, receiver operating characteristic (ROC) analysis, and expression validation were employed to identify potential diagnostic biomarkers. Gene set enrichment analysis (GSEA) and drug predictions were also conducted. Clinical validation of biomarker expression was performed via quantitative polymerase chain reaction (qPCR). A total of 44 candidate genes were identified as being associated with both HF and BD. Six potential diagnostic biomarkers ( This study preliminarily explored the common molecular mechanisms between HF and BD, and identified 6 potential biomarkers for early detection, providing a solid theoretical basis for future research on HF and BD. Show less
📄 PDF DOI: 10.3389/fpsyt.2025.1627105
EXT1
Yuan Cai, Rong Huang, Tianfeng Lin +6 more · 2025 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/molecules30183727
APOA4
Yuan Tian, Zhe Jia, Na Li +5 more · 2025 · Frontiers in psychology · Frontiers · added 2026-04-24
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not Show more
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not uniform. This study aims to identify distinct profiles of psychological empowerment among police officers and to examine their associations with perceived coworker support and work well-being. A person-centered approach was adopted. Data were collected from 505 Chinese police officers. Latent Profile Analysis (LPA) was employed to identify subgroups based on their psychological empowerment patterns. The analysis revealed two distinct profiles: a "Globally Disempowered" profile and a "Globally Empowered" profile. Perceived emotional support from coworkers was a significant predictor of profile membership, where higher levels of support increased the likelihood of belonging to the empowered group. Furthermore, officers in the high empowerment profile reported significantly greater work well-being compared to those in the low empowerment profile. The findings underscore the heterogeneity in psychological empowerment experiences within the policing context. They emphasize the pivotal role of fostering emotional peer support as a means to enhance officers' psychological empowerment and, consequently, their work well-being. Practical implications for organizational interventions are discussed. Show less
📄 PDF DOI: 10.3389/fpsyg.2025.1694664
LPA
Minle Tian, Xiaolei Han, Ming Mao +12 more · 2025 · Brain imaging and behavior · Springer · added 2026-04-24
Evidence has linked self-reported sedentary behaviors with dementia and cognitive impairment; however, the underlying mechanisms remain poorly understood. We investigated the associations of accelerom Show more
Evidence has linked self-reported sedentary behaviors with dementia and cognitive impairment; however, the underlying mechanisms remain poorly understood. We investigated the associations of accelerometer-measured sedentary behavior patterns with gray matter atrophy patterns in rural-dwelling older adults, while taking into account the manner in which sedentary time is accrued (in short or long bouts). This community-based study involved 911 dementia-free older adults (age ≥ 60 years, 59% women) who participated in both ActiGraph and brain MRI substudies within MIND-China (2018-2020). Sedentary behavior parameters (total sedentary time, mean sedentary bout duration, and sedentary breaks) were recorded with accelerometers. Regional gray matter volumes (GMV) were measured using voxel-based morphometry (VBM) methods. Data were analyzed using the general linear regression models, restricted cubic spline curves, and VBM analysis. There was an inverted U-shaped association between daily sedentary time and GMV in temporal, cingulate, and medial temporal cortex, while longer mean sedentary bout duration was linearly related to decreased GMV in total, frontal, temporal, insula, cingulate, and medial temporal cortex. Greater daily time spent in light or moderate-to-vigorous physical activity (LPA and MVPA) was correlated with larger insula GMV. The VBM analysis suggested that prolonged daily total sedentary time and mean sedentary bout duration were significantly associated with smaller GMV in extensive brain regions, especially in thalamus and insula. In conclusion, gray matter atrophy associated with sedentary behavior in older adults is characterized by reduced GMV in global, frontal, temporal, medial temporal, and cingulate cortex, especially in the insula and thalamus regions. Show less
📄 PDF DOI: 10.1007/s11682-025-01054-1
LPA
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
📄 PDF DOI: 10.1038/s41467-025-61522-6
LPL
Sumiya Dalangood, Cegui Hu, Chenwei Yuan +10 more · 2025 · Cell reports · Elsevier · added 2026-04-24
Cancer-associated adipocytes (CAAs) reprogram the metabolic status of the tumor microenvironment (TME). The metabolic crosstalk between CAAs and CD8
no PDF DOI: 10.1016/j.celrep.2025.116526
FGFR1
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
📄 PDF DOI: 10.1186/s12871-025-03570-5
BDNF
Yang Zhang, Jun Ma, Peipei Li +6 more · 2025 · Biomarker research · BioMed Central · added 2026-04-24
Fatty acids serve as a crucial energy source for tumor cells during the progression of chronic lymphocytic leukemia (CLL). The present study aims to elucidate the characteristics of fatty acid metabol Show more
Fatty acids serve as a crucial energy source for tumor cells during the progression of chronic lymphocytic leukemia (CLL). The present study aims to elucidate the characteristics of fatty acid metabolism (FAM) in CLL, construct a related prognostic score, and investigate the regulatory role and mechanisms of FAM in CLL development. Bulk RNA sequencing data from CLL patients and healthy controls were analyzed to identify differentially expressed fatty acid metabolic genes. FAM-score was constructed using Cox-LASSO regression and validated. Single-cell RNA sequencing was used to analyze the expression of key FAM genes in CLL immune cell subsets and investigate cellular communication. Functional assays, including cell viability, drug sensitivity, and oxygen consumption assays, were performed to assess the impact of fatty acid oxidation (FAO) inhibition on CLL cells. Three FAM-related genes (LPL, SOCS3, CNR1) were identified with independent prognostic significance to construct the risk score. The FAM-score demonstrated superior prognostic performance compared to the Binet stage and was associated with established clinical prognostic markers. Single-cell analysis revealed distinct expression patterns of LPL, SOCS3, and CNR1 across CLL immune cell subsets. Cellular communication analysis highlighted the regulatory role of distinct B cell and Treg subsets in the CLL microenvironment. CLL patients with high FAM-score displayed distinct immune infiltration patterns, with increased FAO pathway activity. Inhibition of FAO reduced CLL cell viability, synergistically enhanced the efficacy of the PI3K inhibitor idelalisib. The present study constructed a prognostic risk score based on FAM gene expression, revealing related immune phenotypic differences and exploring the regulatory role of FAO in CLL development. Targeting fatty acid metabolism potentially modulates the CLL immune microenvironment and synergistically enhances the efficacy of PI3K inhibitors. Show less
📄 PDF DOI: 10.1186/s40364-025-00753-7
LPL
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
📄 PDF DOI: 10.3389/fimmu.2025.1613368
FGFR1
Chao Fu, Yan Gong, Xiangyang Gao +8 more · 2025 · BMC gastroenterology · BioMed Central · added 2026-04-24
📄 PDF DOI: 10.1186/s12876-025-04130-4
APOB
Xiaokun Li, Zhiheng Rao, Wenhao Hu +2 more · 2025 · Obesity reviews : an official journal of the International Association for the Study of Obesity · Blackwell Publishing · added 2026-04-24
Metabolic dysfunction-associated steatohepatitis (MASH) is a condition characterized by hepatosteatosis, inflammation, and tissue damage, with steatosis as the initial stage, which involves chronic, e Show more
Metabolic dysfunction-associated steatohepatitis (MASH) is a condition characterized by hepatosteatosis, inflammation, and tissue damage, with steatosis as the initial stage, which involves chronic, excess deposition of lipids in hepatic lipid droplets. Despite the growing prevalence and serious risks it poses, including liver decompensation, the need for transplantation, and increased patient mortality, MASH currently faces no approved pharmacotherapy. Several promising treatment candidates have emerged from recent clinical trials, including analogs of FGF21 and agonists of the associated FGFR1-KLB complex. These agents were well-tolerated in trials and have demonstrated significant improvements in both histological and biochemical markers of liver fat content, inflammation, injury, and fibrosis in patients with MASH. Endocrine FGF21 plays a vital role in maintaining homeostasis of lipid, glucose, and energy metabolism. It achieves this through pathways that target lipids or lipid droplets in adipocytes and hepatocytes. Mechanistically, pharmacological FGF21 acts as a potent catabolic factor to promote lipid or lipid droplet lipolysis, fatty acid oxidation, mitochondrial catabolic flux, and heat-dissipating energy expenditure, leading to effective clearance of hepatic and systemic gluco-lipotoxicity and inflammatory stress, thereby preventing obesity, diabetes, and MASH pathologies. In this review, we aim to provide an update on the outcomes of clinical trials for several FGF21 mimetics. We compare these outcomes with preclinical studies and offer a lipid-centric perspective on the mechanisms underlying the clinical benefits of these agents for MASH. Show less
no PDF DOI: 10.1111/obr.13861
FGFR1
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
📄 PDF DOI: 10.3389/fphar.2025.1662325
LPL
Xingyu Tao, Yanan Wang, Jiangbo Jin +10 more · 2025 · Journal of advanced research · Elsevier · added 2026-04-24
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a substantial global threat. SARS-CoV-2 nonstructural proteins (NSPs) are essential for impeding the host replication mechanism while Show more
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a substantial global threat. SARS-CoV-2 nonstructural proteins (NSPs) are essential for impeding the host replication mechanism while also assisting in the production and organization of new viral components. However, NSPs are not incorporated into viral particles, and their subsequent fate within host cells remains poorly understood. Additionally, their role in viral pathogenesis requires further investigation. This study aimed to discover the ultimate fate of NSP6 in host cells and to elucidate its role in viral pathogenesis. We investigated the effects of NSP6 on cell death and explored the underlying mechanism; moreover, we examined the degradation mechanism of NSP6 in human cells, along with analysing its correlation with coronavirus disease 2019 (COVID-19) severity in patient peripheral blood mononuclear cells (PBMCs). NSP6 was demonstrated to induce cell death. Specifically, NSP6 interacted with EI24 autophagy-associated transmembrane protein (EI24) to increase intracellular Ca This study reveals that KLHL22-mediated ubiquitination controls NSP6 stability and that NSP6 induces autophagic cell death via calcium overload, highlighting its cytotoxic role and suggesting therapeutic strategies that target calcium signaling or promote NSP6 degradation as potential interventions against COVID-19. Show less
no PDF DOI: 10.1016/j.jare.2025.05.031
PIK3C3
Lingyan Li, Xingjie Wu, Qianqian Guo +9 more · 2025 · Journal of pharmaceutical analysis · Elsevier · added 2026-04-24
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, over Show more
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, overshadowing its influence on the biological effects of formulations. In this study, we reevaluated the delivery effect of CH using widely applied lipid microspheres (LM) as a model DDS. We conducted comprehensive investigations into the impact of CH on the distribution, cell uptake, and protein corona (PC) of LM at sites of cardiovascular inflammatory injury. The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage. Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma (PPAR-γ) expression in vascular endothelial cells and estrogen receptor alpha (ERα) protein levels in myocardial cells, thereby enhancing LM uptake at cardiovascular inflammation sites. Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V (Apoa5); this may be a major contributing factor to their prolonged circulation Show less
📄 PDF DOI: 10.1016/j.jpha.2024.101182
APOA5
Yue Li, Zhe Zheng, Yanze Li +14 more · 2025 · Nature communications · Nature · added 2026-04-24
Ischemic injury induces a partial mesenchymal shift in endothelial cells (ECs), contributing to impaired vascular regeneration. However, the molecular regulators of this transitional state remain poor Show more
Ischemic injury induces a partial mesenchymal shift in endothelial cells (ECs), contributing to impaired vascular regeneration. However, the molecular regulators of this transitional state remain poorly defined. To address this, we performed circular RNA profiling of endothelial cells under ischemic-like conditions and identified a marked upregulation of a circular RNA, named circATXN1. Functional studies revealed that circATXN1 knockdown modulates endothelial phenotype and vascular response after ischemia. Functional studies have shown that knockdown of circATXN1 can regulate the endothelial cell phenotype and vascular response after ischemia. Mechanistically, circATXN1 knockdown enhances the demethylase protein ALKBH5 to reduce the RNA methylation level of the key transcription factor SLUG, thereby stabilizing SLUG. In animal models, suppression of circATXN1 enhances angiogenesis and improves recovery following ischemic injury. Here, we show that circATXN1 regulates partial endothelial-to-mesenchymal transition (EndMT) and angiogenesis by controlling SLUG mRNA methylation dynamics, highlighting its potential as a therapeutic target in ischemic disease. Show less
no PDF DOI: 10.1038/s41467-025-61596-2
SNAI1
Xian Chen, Hui Wang, Qianqian Li +4 more · 2025 · Discover oncology · Springer · added 2026-04-24
Renal clear cell carcinoma (RCC) is the most common type of kidney cancer, and its relationship with kidney fibrosis and inflammatory responses has attracted considerable attention. However, whether c Show more
Renal clear cell carcinoma (RCC) is the most common type of kidney cancer, and its relationship with kidney fibrosis and inflammatory responses has attracted considerable attention. However, whether causal relationships exist among these associations remains unclear, as traditional observational studies are susceptible to confounding factors. To evaluate causal relationships between kidney cancer, kidney fibrosis, and inflammatory factors using Mendelian randomization, and explore tumor microenvironment heterogeneity through single-cell analysis. Based on large-scale GWAS data, bidirectional Mendelian randomization analysis was performed to assess causal relationships between kidney cancer and kidney fibrosis, using MR Egger, inverse variance weighted (IVW), and weighted mode methods. Causal associations between kidney cancer and inflammatory factors including Axin-1, C-C motif chemokine 28, and interleukin-10 receptor subunit were analyzed. Single-cell RNA sequencing data from the GEO database (GSM4819725) was integrated for tumor microenvironment analysis. Bidirectional Mendelian randomization analysis revealed no significant causal relationship between kidney cancer and kidney fibrosis [kidney cancer→kidney fibrosis: IVW OR=0.992(95%CI: 0.913-1.077, P=0.842); kidney fibrosis→kidney cancer: IVW OR=0.922(95%CI: 0.824-1.030, P=0.151)]. However, significant positive causal associations were identified between kidney cancer and multiple inflammatory factors: Axin-1 levels [OR=1.448(95%CI: 1.107-1.894, P=0.007)], C-C motif chemokine 28 [OR=1.287(95%CI: 1.076-1.540, P=0.006)], and interleukin-10 receptor subunit [OR=1.135(95%CI: 1.032-1.248, P=0.009)]. Sensitivity analyses confirmed the robustness of results. Single-cell analysis revealed cellular heterogeneity in the tumor microenvironment, including various cell types such as immune cells, T cells, and NK cells, with pseudotime analysis demonstrating cell differentiation trajectories and dynamic gene expression changes. Mendelian randomization analysis provides genetic evidence for causal relationships between kidney cancer and inflammatory factors, while excluding direct causal associations between kidney cancer and kidney fibrosis. Show less
📄 PDF DOI: 10.1007/s12672-025-03343-z
AXIN1