👤 Ji-Cheng Li

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Also published as: Xiaocun Li, Jianyu Li, Xinzhi Li, Guanqiao Li, Zequn Li, Guang-Xi Li, Yubo Li, Bugao Li, Qingchao Li, Xikun Li, Hong-Tao Li, Guobin Li, Xihao Li, Rongqing Li, Chang-Da Li, Meng-Yue Li, DaZhuang Li, Shunqin Li, Jiajie Li, Yaqiong Li, Yuan-hao Li, Yongmei Li, X Y Li, Peilin Li, Ran Li, Chunshan Li, Yixiang Li, Guanglve Li, Ye Li, Zili Li, Yihao Li, Qing Run Li, Liling Li, Meng-Yang Li, Ziyun Li, Jun-Ying Li, Xinhai Li, Yongjiang Li, Wanru Li, Wenhao Li, Shisheng Li, Sai Li, Guangwen Li, Hua Li, Dongmei Li, Jiayang Li, Zunjiang Li, Minglong Li, Wenzhe Li, Zihan Li, Jin-Long Li, Hongxin Li, Caiyu Li, Fa-Hui Li, Guangpu Li, Teng Li, Wen-Jie Li, Hegen Li, Ang Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Fang Li, Jiuke Li, Miyang Li, Mingxu Li, Chen-Xi Li, Panlong Li, Changwei Li, Biyu Li, Yaoqi Li, San-Feng Li, Jiaming Li, Jiyuan Li, Rongkai Li, Yani Li, Linke Li, C Y Li, Thomas Li, Siting Li, Yongnan Li, Jinchen Li, Jin-Ping Li, Xuewen Li, R Li, Xianlong Li, Aixin Li, Xuening Li, Guang Li, Xiaoming Li, Z-H Li, Yongli Li, Baohong Li, Shuyuan Li, L Li, Yuanmei Li, Yanwu Li, Hualing Li, Sibing Li, Xining Li, Qinghe Li, Zonghua Li, Liqin Li, Jingya Li, Youjun Li, Zheng-Dao Li, Zhenshu Li, Heng-Zhen Li, Yuhui Li, Wen-Ying Li, Wei Li, Shuanglong Li, Fei-feng Li, Letai Li, Kangli Li, Ming Li, Wenbo Li, Runwen Li, Yarong Li, Weidong Li, S E Li, Xin-Tao Li, Ruotong Li, Shuguang Li, Xiuzhen Li, Lingxi Li, Chuan-Hai Li, Tingting Li, Guanghua Li, Zhongyu Li, Zhen-Yu Li, Deyu Li, Hansen Li, Jinzhi Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Qintong Li, Naishi Li, Xin-Ping Li, Han-Ni Li, Jiaying Li, Cui-lan Li, Ruonan Li, Jun-Jie Li, Shuhao Li, Ruitong Li, Suyan Li, Gen-Lin Li, Dianjie Li, Junhui Li, Ya-Jun Li, Xue Cheng Li, Ding-Biao Li, Xiying Li, Yansong Li, Weiyong Li, Xinyang Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jianglin Li, Yingpu Li, Yan-Hua Li, Jing-Yao Li, Shawn Shun-Cheng Li, Xiao-Min Li, Wan Jie Li, Ya-Ting Li, Dongbiao Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Chunyi Li, Peiyun Li, Qinglan Li, Yue-Ting Li, Da Li, YiPing Li, Demin Li, Haipeng Li, Chuan Li, Ze-An Li, Jianmin Li, Minhui Li, Yu Li, Yiwei Li, Xiangzhe Li, Minglun Li, Xue-Min Li, Kenneth Kai Wang Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Jiaomei Li, Xiangyun Li, Jing Li, Yingshuo Li, Baixing Li, Dengke Li, Qingling Li, Rui-Han Li, Dong Li, Xiaoxia Li, Dezhi Li, Sheng-Jie Li, Ying-Qing Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Sha-Sha Li, Mengxuan Li, Ziyu Li, Gang Li, Panyuan Li, Hong-Wen Li, Xiaojuan Li, Dongnan Li, Huaiyuan Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Pei-Ying Li, Shaobin Li, Ronald Li, Shilun Li, Shi-Hong Li, John Zhong Li, Xinyu Li, Lujiao Li, Song-Chao Li, Chenghong Li, Baohua Li, Nianfu Li, Jun-Cheng Li, Yimeng Li, Chunting Li, Chien-Feng Li, Mei-Zhen Li, Zhengjie Li, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Lijun Li, Hening Li, Fengxia Li, Jialing Li, Xin Li, Ningyan Li, Zhenghui Li, Ailing Li, Chaochen Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Wenjing Li, Jingshu Li, Han-Bo Li, Zengyang Li, Chunyan Li, Runzhen Li, Xi-Hai Li, Xuezhong Li, MengGe Li, Pei-Lin Li, Wan-Xin Li, Ruobing Li, Ning Li, Meitao Li, Xia Li, Ziqiang Li, Wen-Xi Li, Shenghao Li, Hehua Li, Yucheng Li, Dujuan Li, Yuying Li, Shaofei Li, Shaoguang Li, Min-Rui Li, Shuqiang Li, Dan C Li, Huashun Li, Ganggang Li, Haoqi Li, Handong Li, Yan-Nan Li, Xianglong Li, Jing-Jing Li, Songhan Li, Conglin Li, Qingli Li, Miao Li, Chenyu Li, Ke Li, Zhen-Hua Li, Chuan-Yun Li, Gaoyuan Li, Youming Li, Qingrun Li, Dong-Yun Li, Shuangfei Li, Fengfeng Li, Qinggang Li, Huixia Li, Xingye Li, Xiangjun Li, Huiying Li, Xingyu Li, Zhaoping Li, Wenying Li, Honghui Li, Cheung Li, Xuelian Li, Zhenming Li, Changyan Li, Mulin Jun Li, Shangjia Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Guangzhen Li, Xiangyan Li, Shiyun Li, Xiaoyu Li, Yaobo Li, Xuewang Li, Mei Li, Manjiang Li, Wan Li, Xiao-Li Li, Xiaoya Li, Shan Li, Shitao Li, Zehan Li, Lijia Li, Huiliang Li, Chunqiong Li, Junjun Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Chang-hai Li, Yuqiu Li, Xue-Yan Li, Yuan-Yuan Li, Xiang-Jun Li, Chia Li, Y X Li, Yunyun Li, Zhen-Jia Li, Qiuxuan Li, De-Jun Li, Keqing Li, Junxian Li, Shuwen Li, Lingjun Li, Deheng Li, Si-Xing Li, Yaodong Li, Shigang Li, Gao-Fei Li, Minle Li, Le-Le Li, Ziwen Li, Yongqiu Li, Pu-Yu Li, Nan-Nan Li, Lan-Lan Li, Hongming Li, Shuang Li, Wanting Li, Gong-Hua Li, Zhengyu Li, Weiguang Li, Guoqing Li, Xiaomeng Li, Yuanze Li, Yunqi Li, Yuandong Li, Changcheng Li, Shiyue Li, Hanbo Li, Yinggao Li, Dingshan Li, Linlin Li, Jin-Wei Li, Cheng-Tian Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong Li, Chun-Quan Li, Yongzhen Li, Tao Li, Xiankai Li, Yaxuan Li, Tian-wang Li, Yuchan Li, Jiaxi Li, Yalin Li, Pei-Zhi Li, Guanyu Li, Jinlan Li, Huizi Li, Jianping Li, Yun-Lin Li, Yadong Li, Sujing Li, Wenzhuo Li, Xuri Li, Mengqiu Li, Yun Li, Ling-Ling Li, Chengwen Li, Shu-Feng Li, Haojing Li, Zhiyu Li, Ziyang Li, Yaochen Li, Qian Li, Bohao Li, Wenyang Li, Wenming Li, Mingxuan Li, Bingsong Li, Anqi Li, Shuai Li, Xiaoju Li, Na Li, Huibo Li, Chuanfang Li, Pengsong Li, Ruotian Li, Chunya Li, En-Min Li, Zong-Xue Li, Yan Ning Li, Honglin Li, Min-jun Li, Jinhua Li, Qian-Qian Li, Yuanheng Li, Chunxiao Li, Shijun Li, Kuan Li, Baoguang Li, Jie-Shou Li, Zimeng Li, Mengmeng Li, W-B Li, Binkui Li, Yu-Sheng Li, Junjie Li, Xiaoqi Li, Xiucui Li, Haihua Li, Yu-Lin Li, Tsai-Kun Li, Shujing Li, Mengyun Li, Mingna Li, Lanlan Li, Moyi Li, Xiyun Li, Ya-Pei Li, Zhongjie Li, Zhenbei Li, Shuangshuang Li, Hongwei Li, Ding-Jian Li, Xiao-Qiang Li, Danni Li, Min Li, Pengyang Li, Kun-Xin Li, Xiangpan Li, Zesong Li, Mingfei Li, Shuwei Li, Mingdan Li, Xihe Li, Jianfeng Li, Dexiong Li, Rongsong Li, Yinxiong Li, Hong-Yu Li, Weijian Li, Changhui Li, Dechao Li, Wenxia Li, Guoxiang Li, Ziru Li, Juxue Li, Man Li, Huayin Li, Xiao-yu Li, Jianyi Li, Guowei Li, Xingya Li, Gongda Li, Yajun Li, Wei-Ping Li, Nanjun Li, P H Li, Ranran Li, Suping Li, Jason Li, Monica M Li, Xianlun Li, Qi Li, Xiaoli Li, Xionghui Li, Fei Li, Hongmei Li, Xu-Wei Li, Mengsen Li, Quanpeng Li, Yajiao Li, Qilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Cheng-Lin Li, Yousheng Li, Wen-Ting Li, Guoping Li, A Li, Simin Li, Weiguo Li, Xue-Nan Li, Xiaoying Li, Shengsheng Li, Hong Li, Yuqi Li, Zihua Li, Qing Li, Jiaping Li, Weiyang Li, Feng Li, Peihong Li, Jin-Mei Li, Lisha Li, Cuicui Li, Kaibo Li, Hanbing Li, Meng-Hua Li, J T Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Donghe Li, Zheng Li, Congfa Li, Wenrui Li, Yong Li, Xiuling Li, Jingqi Li, Zhiyong Li, Xiao-Kang Li, Hanqi Li, Yangyang Li, Dongfang Li, Zhuorong Li, X-H Li, Dong Sheng Li, Lan-Juan Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Guoli Li, Huanqiu Li, Zhan Li, Weisong Li, Xinglong Li, Xiaozhen Li, Zhiyang Li, Cunxi Li, Ying Li, Jianlin Li, Yanshu Li, Guiying Li, Jinku Li, Cuiling Li, Zhisheng Li, Changgui Li, Xuekun Li, Yuguang Li, Wenke Li, Jiayi Li, Suwen Li, Peihua Li, Chang-Ping Li, Guangda Li, Jieming Li, Chunhui Li, Tongyao Li, Peiyu Li, Linfeng Li, Yuzhe Li, Qifang Li, Chang-Yan Li, Xiaolin Li, Duanxiang Li, Vivian Li, Justin Li, Meiting Li, Xue-Er Li, Hongchang Li, Youwei Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Luquan Li, Guoxing Li, Jianyong Li, Zongchao Li, Jia Li, Haimin Li, Sheng-Qing Li, Lingjie Li, Yiwen Li, Baoqi Li, Leyao Li, Xiao-Qin Li, Jiajing Li, Yanlin Li, Liao-Yuan Li, Yongkai Li, Hangwen Li, Hengguo Li, An-Qi Li, Xuehua Li, AnHai Li, Chenli Li, Zhengrui Li, Rumei Li, Yan-Yu Li, Lipeng Li, Qinqin Li, Qinghua Li, Leilei Li, Lianyong Li, Zhou Li, Q Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Jian'an Li, Guangqiang Li, Sichong Li, Wenyi Li, Qing-Min Li, Meiyan Li, Yun-Da Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Shen Li, Ziqi Li, Yunfeng Li, Shufen Li, Yueqi Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Pinghua Li, Xu Li, Zhenli Li, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, XiaoQiu Li, Zhankui Li, Zhi Li, Zhijie Li, Huimin Li, Ruifang Li, Xiao-xu Li, Man-Xiang Li, Cong Li, Chengbin Li, Yuping Li, G Li, Zhi-Yong Li, Yukun Li, Xiong Bing Li, Wen Lan Li, Qingjie Li, Han Li, Yutang Li, Hankun Li, Hongling Li, Zhifan Li, Yan-Guang Li, Ji-Min Li, Peipei Li, Tian-Yi Li, Zhihao Li, Yao Li, Zheyun Li, Zhonglin Li, Lin Li, Jinfang Li, Chenjie Li, Yanming Li, S L Li, Ben-Shang Li, Hong-Lan Li, Xionghao Li, Shunqing Li, Ming-Kai Li, Lan Li, Yanwei Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Yong-Liang Li, M Li, Jiehan Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Ai-Qin Li, Zichao Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Yanjiao Li, Jia-Huan Li, Guoxi Li, Xudong Li, Xingfang Li, Jisheng Li, Rongyao Li, Ru Li, Jiangya Li, Yiche Li, Yilang Li, Yunshen Li, Jingchun Li, Hexin Li, H J Li, Yanping Li, Qing-Wei Li, Qiang Li, Hsiao-Hui Li, L I Li, Hongzheng Li, Laiqing Li, Ningyang Li, Zhongxia Li, Guangquan Li, Shun Li, Hui-Jun Li, Xuefei Li, Guojun Li, Hung Li, Senlin Li, Jinping Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Fulun Li, Yonghao Li, Mingli Li, Yehong Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Gan Li, Shichao Li, Dapei Li, Zejian Li, Lihong Li, Haixia Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Zhao Li, Kui Li, Yunxu Li, Xuanfei Li, Zilin Li, Mingqiang Li, Xiaojiao Li, Yinzhen Li, Yunsheng Li, Li-Min Li, Xiangqi Li, Jia-Peng Li, Wenqi Li, Haibo Li, Xiao-Jun Li, Yan-Hong Li, Shi Li, Xueling Li, Conghui Li, Xiaoxiong Li, Wanni Li, Chitao Li, Haiyang Li, Xiaobai Li, Pingping Li, Mingquan Li, Suran Li, Yuanfang Li, Yingqin Li, Qiner Li, Jiafang Li, Shanhang Li, Han-Bing Li, Zongzhe Li, Yikang Li, Si-Yuan Li, Hongmin Li, Caihong Li, Yajing Li, Benyi Li, Yuquan Li, Hongzhi Li, Chengxin Li, Xiaojiaoyang Li, Xinxin Li, Jian-Shuang Li, Yubin Li, Dazhi Li, Chenglan Li, Yuhong Li, Fengqiao Li, Di Li, Yanbing Li, Jufang Li, Zecai Li, Qipei Li, Xiaoning Li, Xiyue Li, Minghua Li, Tianchang Li, Zhuoran Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Yi-Ling Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Cai Li, Jingcheng Li, Ivan Li, Mengshi Li, Manxia Li, Ya Li, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Lai K Li, Jiong Li, Daiyue Li, Bingong Li, Chunxue Li, Yunlong Li, Jianshuang Li, Juanling Li, Xinbin Li, Xue-jing Li, Yuling Li, Yetian Li, Xianlin Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Jiequn Li, Zhongding Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xinyan Li, Xiaoyun Li, Yushan Li, Ping'an Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, He-Zhen Li, G-P Li, Yinliang Li, Wen Li, Weihai Li, Yu-Kun Li, Jiangan Li, Zhaojin Li, Bingxin Li, Wenjuan Li, Chia-Yang Li, Wenyu Li, Hairong Li, Su Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Chenguang Li, Ming D Li, Ruyue Li, Xiaolian Li, Ya-Ge Li, Yinyan Li, Guangli Li, Rujia Li, Qijun Li, Lixia Li, Yunrui Li, Yuhuang Li, Shanshan Li, Wan-Shan Li, Jing-gao Li, Yiyang Li, Fengxiang Li, Nana Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Hai-Yun Li, Zhongxian Li, H-J Li, Zhixiong Li, Lingyan Li, Xuhang Li, Chen-Lu Li, Jialun Li, Xinjian Li, Zilu Li, Sheng-Fu Li, Zezhi Li, Xue-Fei Li, Yudong Li, Hongjiang Li, Jingyun Li, Binghua Li, Hanjun Li, Qihua Li, Jin-Qiu Li, Jiaxuan Li, Guangjin Li, Xutong Li, Ranwei Li, Kai Li, Wei-Li Li, Keanning Li, Ling Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Weike Li, Chuanbao Li, Zhixuan Li, Chuzhong Li, M D Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Ling-Zhi Li, Hengtong Li, Yifan Li, Ya-Li Li, Songyun Li, Xiaoran Li, Bolun Li, Linchuan Li, Jiachen Li, Haibin Li, Huangbao Li, Guo-Chun Li, Xinli Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Xinrui Li, Hanbin Li, Wanwan Li, Jia Li Li, Wan-Hong Li, Mingke Li, Huanhuan Li, Xiaoyuan Li, Zongfang Li, Yang Li, BoWen Li, Duoyun Li, Yimei Li, Zhi-qiang Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Zhiping Li, Yan-Li Li, Haiming Li, Gaijie Li, Yuemei Li, Xuefeng Li, Xiao-Hong Li, Mengjuan Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Yi Li, Baosheng Li, Mian Li, Yujun Li, Lixi Li, Jin-Xiu Li, Jiwen Li, Zhouhua Li, Qingqin S Li, Honglei Li, Guojin Li, Xin-Yue Li, Dingchen Li, Xiaoling Li, Meng-Jun Li, Peining Li, Congjiao Li, Huilin Li, Songtao Li, Fusheng Li, Dai Li, Meiyue Li, Kechun Li, Keshen Li, Yuxin Li, Shaoliang Li, Shu-Xin Li, Hong-Zheng Li, Tianye Li, Qun Li, Zhen Li, Mengling Li, Jia-Da Li, Baoqing Li, Pu Li, Xingli Li, Bingkun Li, Nien-Chi Li, Tiewei Li, Daniel Tian Li, Rong-Bing Li, Wei-Yang Li, Rong Li, Mingkun Li, Binxing Li, Zixiao Li, Guixin Li, Quanzhang Li, Da-wei Li, Xiumei Li, Melody M H Li, Peibo Li, Huanjun Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Tianyou Li, Jipeng Li, Longxuan Li, Shi-Guang Li, Wenxiu Li, Zhuang Li, Yu-Hao Li, Shilin Li, Shili Li, Meiqing Li, Hengyu Li, Yinhao Li, Junying Li, Mufan Li, Chun-Lai Li, Shiya Li, Xiao-Jiao Li, Li Li, Hanxue Li, Lulu Li, L P Li, Xiaoqin Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Haolong Li, Xuanzheng Li, Peng-li Li, Quan Li, Xue-Ying Li, Yongzhe Li, Tianyi Li, Qingfeng Li, Nanlong Li, Ping Li, Fangzhou Li, Nien-Chen Li, Yuanchuang Li, Haiying Li, Yunting Li, Hong-Yan Li, Shengbiao Li, Yue-Rui Li, Ruidong Li, Y M Li, Sijie Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Qiuyan Li, Tingguang Li, Xiangyang Li, Chunjie Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jie-Pin Li, Kaiyi Li, Junyi Li, Dongtao Li, Fengyuan Li, Chenxi Li, Zuo-Lin Li, Zhengwei Li, Yan-Chun Li, Suiyan Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Jia-Ru Li, Pei-Qin Li, Chun-Xiao Li, Shu-Hong Li, Shuyue Li, Quan-Zhong Li, Tongzheng Li, Fangyan Li, Duo Li, Ren Li, Hongye Li, Lanfang Li, Mingwei Li, Wenxin Li, W J Li, Zhijia Li, Jingtong Li, Lucy Li, Zhengpeng Li, Xiayu Li, Baolin Li, Cuilan Li, Yuting Li, Xiaobo Li, Meijia Li, Shujiao Li, Kun-Ping Li, Weirong Li, Weihua Li, Runzhao Li, Xiang-Dong Li, Yanxin Li, Xiufeng Li, Yingjun Li, Xiaohuan Li, Ying-Qin Li, Fan Li, Jun Z Li, Yiheng Li, Taiwen Li, Xiaorong Li, Haifeng Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Rui-Jún Eveline Li, Xuanxuan Li, Bing-Mei Li, Yunman Li, Shuhua Li, Chunying Li, Leipeng Li, Weiheng Li, Baizhou Li, Han-Ru Li, Sheng Li, Yaqiang Li, Guoyin Li, Qiwei Li, Chengjun Li, Jianxiong Li, Ji Li, Huaying Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Xiang Li, Chaonan Li, Yu-Chia Li, Heying Li, Shaomin Li, Yuxuan Li, Xuan-Ling Li, Bingshan Li, Jiahao Li, Shibao Li, Ruijin Li, Kunlong Li, Xiaofeng Li, Zhaolun Li, Litao Li, Ruyi Li, Wanxin Li, Jinsong Li, Ying-Lan Li, Yulin Li, Shaojian Li, Mohan Li, Yan-Xue Li, Enhong Li, Xiangnan Li, Yong-Jun Li, Hang Li, Ziming Li, Jing-Ming Li, Yuanchang Li, Xiao-Lin Li, Yicun Li, Zhao-Yang Li, K-L Li, Xinjia Li, Bin Li, Jianhai Li, Peiwu Li, Youran Li, Changyu Li, Ming Zhou Li, Z Li, Xinmei Li, Wulan Li, Haoxian Li, Xiaozhao Li, Da-Lei Li, Jinming Li, Huihui Li, Kailong Li, Qiankun Li, Shengxu Li, Xiuli Li, Yulong Li, Ru-Hao Li, Zhi-Peng Li, Lanzhou Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Chao Bo Li, Donghua Li, Siming Li, Fengli Li, Song Li, Hsin-Hua Li, You Li, Dongfeng Li, Zhen-Yuan Li, Xuelin Li, Xueyang Li, Bao Li, Yin Li, Cai-Hong Li, Dejun Li, Yufeng Li, Miaoxin Li, Hu Li, Bei Li, W H Li, Sha Li, Ya-Qiang Li, Xiushen Li, Jinlin Li, Xiaoqing Li, Shuaicheng Li, Xuebiao Li, Yingyi Li, Maolin Li, Jiyang Li, Zhongxuan Li, Linting Li, Zhong-Xin Li, Enhao Li, Shengliang Li, Hujie Li, Yue-Ming Li, Zhaohan Li, Alexander Li, Wen-juan Li, Pilong Li, Yun-Peng Li, C X Li, Huanan Li, Miao X Li, KeZhong Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yaokun Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Side Li, Timmy Li, Jiezhen Li, Qiuya Li, Haitao Li, Yufen Li, Qin Li, Annie Li, Wenge Li, Xueren Li, Chun-Mei Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Junping Li, Xiao Li, PeiQi Li, Xiaobing Li, Liangdong Li, Yan Li, Shengchao A Li, Pan Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Chengquan Li, Zexu Li, Zhilei Li, Tiantian Li, Wenyong Li, Desen Li, Tianjun Li, Zihao Li, Fadi Li, Huawei Li, Yu-quan Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Zongdi Li, Ming V Li, Aowen Li, L K Li, Aimin Li, Tiehua Li, Guohong Li, Botao Li, L-Y Li, Xiuqi Li, Zhenhua Li, Zhengda Li, Haotong Li, Luhan Li, Yuancong Li, Tian Li, Yuxiu Li, Beibei Li, Changhong Li, Yvonne Li, Zhichao Li, Jiayuan Li, Yige Li, Siguang Li, Chengqian Li, Weiye Li, Dong-fei Li, Xiangchun Li, Hailong Li, Kun-Peng Li, Haijun Li, Si Li, Ji-Feng Li, Wanqian Li, Zijing Li, Wentao Li, Yuchuan Li, Xuhong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Defa Li, X L Li, Yuyan Li, Kawah Li, Shupeng Li, Zhenfei Li, Zhuo Li, Han-Wei Li, Weina Li, Xiao-Hui Li, Rui-Fang Li, Jianzhong Li, Bing Li, Huihuang Li, Yunmin Li, Yanying Li, Gui Lin Li, Chenrui Li, Dengfeng Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Zhimei Li, Jiao Li, Jingming Li, Jinxia Li, De-Tao Li, Shu Li, Julia Li, Huilan Li, Xin-Ya Li, Chunsheng Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Supeng Li, Yiju Li, Yuanhe Li, Guangxiao Li, Xueqin Li, Peixin Li, Feng-Feng Li, Zu-Ling Li, Yunjiu Li, Dayong Li, Zonghong Li, Lingjiang Li, Yuhan Li, Fuyuan Li, H-F Li, Chunxia Li, Zhen-Li Li, Zhengying Li, Zhaoshui Li, Yali Li, Yu-Hui Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Stephen Li, Shuangding Li, Mangmang Li, Kaiyuan Li, Xiaopeng Li, Anan Li, Luying Li, Jiajv Li, Xiaoquan Li, Yanxi Li, Yongjing Li, Huayao Li, Jiqing Li, Huixue Li, Boxuan Li, Yongqi Li, Qingyuan Li, Fengqi Li, Yuqing Li, Zhigang Li, Guiyang Li, Guo-Qiang Li, Yanbo Li, Sanqiang Li, Hongyu Li, Guangping Li, Jinxin Li, Xinrong Li, Yayu Li, Huaixing Li, Minyue Li, Hong-Mei Li, Jutang Li, Mengxia Li, Yongxiang Li, Qilong Li, Songlin Li, Dijie Li, Yizhe Li, Yan Bing Li, Jiani Li, Lianjian Li, Yiliang Li, Xinpeng Li, Hongxing Li, Wanyi Li, Mi Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Yumiao Li, Jiexi Li, Kecheng Li, Junxu Li, Junya Li, Jiang Li, Shengxian Li, Qingyang Li, Yuxi Li, Chenxuan Li, Xiao-Dong Li, Xinghuan Li, Zhenlu Li, Xiaolei Li, Huilong Li, Xiao-Gang Li, Zhenhui Li, Chunjun Li, Shu-Fen Li, Yinghua Li, Yanjie Li, Chaoying Li, Juanjuan Li, Qiu Li, Kunlun Li, Shiquan Li, Xiangdong Li, Zhenjia Li, Jifang Li, Zhizhong Li, Ding Yang Li, Chenlong Li, Shujin Li, Weining Li, Wu-Jun Li, Yumao Li, Bin-Kui Li, Honglian Li, Ya-Zhou Li, Hongyi Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, Zhihua Li, Minqi Li, Saijuan Li, Danxi Li, Mimi Li, Yingjie Li, Yuan-Hai Li, Lujie Li, Minghao Li, Meifen Li, Yifeng Li, Huanqing Li, Yuhang Li, Jianhua Li, Chanjuan Li, Lingyi Li, Yanchuan Li, Bai-Qiang Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Mingyao Li, Ze Li, R H L Li, Guisen Li, Dongyang Li, Jinglin Li, Honglong Li, Mingfang Li, Hanmei Li, Chenmeng Li, Shiyang Li, Jianing Li, Xinsheng Li, Jin-Jiang Li, Zhi-Xing Li, Chang Li, Jiwei Li, Weifeng Li, Wenhui Li, Sichen Li, Qingsheng Li, Liangji Li, Lixiang Li, Jin-Liang Li, Xiaoqiong Li, You Ran Li, Yixiao Li, Kathy H Li, Yuhua Li, Deqiang Li, Y Li, Mingyue Li, Zipeng Li, Caixia Li, Hongli Li, Yanfeng Li, Yaqin Li, Yu-He Li, Shasha Li, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Dawei Li, Xun Li, Ming-Jiang Li, Sitao Li, Tinghua Li, Zhenfen Li, Shuo Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Xiaonan Li, Zhenyu Li, Ting Li, Xiang-Yu Li, Duan Li, Lei Li, Hongde Li, Fengqing Li, Yanchang Li, Xunjia Li, Ruixia Li, Nanzhen Li, Hongxue Li, Bingjie Li, Xiaojing Li, Xinlin Li, Yu-Ying Li, Wenli Li, Mengze Li, Kaiwei Li, Huangyuan Li, Lili Li, Junxin Li, Wei-Jun Li, Guoyan Li, Fei-Lin Li, Nuomin Li, Yanyan Li, Shulin Li, Shanglai Li, Taibo Li, Yue Li, Junqin Li, JunBo Li, Jun-Ru Li, Xueying Li, Zhongcai Li, Zhaobing Li, Linxin Li, Jen-Ming Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Yanxiang Li, Yi-Wen Li, Shihong Li, Rulin Li, Huifeng Li, Lijuan Li, Yuanhong Li, Shengbin Li, Jingyu Li, Xuewei Li, Long Li, Min-Dian Li, Wenjia Li, Xiatian Li, Yangxue Li, Chengnan Li, Chuanyin Li, Yiqiang Li, Zhenzhou Li, Xiawei Li, Binglan Li, Yutong Li, Yingnan Li, Ge Li, Xinzhong Li, Chenyao Li, Jun-Yan Li, Boru Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Chuanning Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Chunxing Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Weiqin Li, Xinming Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Chenglong Li, Nan Li, Yipeng Li, Mingxing Li, Xin-Yu Li, Chunyu Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Long Shan Li, Yanze Li, Xiao-Feng Li, W Li, Fengjuan Li, Hainan Li, Yutian Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Peilong Li, Kang Li, Yinghao Li, Lirong Li, Wenhong Li, Audrey Li, Yijian Li, Guang Y Li, Xianyong Li, Shilan Li, Guang-Li Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Guohua Li, Kezhen Li, Xingxing Li, Ellen Li, Yijie Li, Suwei Li, Shuyu D Li, Ruiwen Li, Jiandong Li, Fangyong Li, Binru Li, Yuchao Li, Hanlu Li, Jianang Li, Xue-Peng Li, Sheng-Tien Li, Shihao Li, Yazhou Li, Jun-Ling Li, Caesar Z Li, Lang Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Xinxiu Li, Chongyi Li, Yi-Ying Li, Shaodan Li, Yongzheng Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Yaoyao Li, Yueguo Li, Mo Li, Ming-Hao Li, Hongsen Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Jianbo Li, Xing-Wang Li, Chong Li, Fugen Li, Yuwei Li, Xiaochen Li, Zizhuo Li, Xiaoxiao Li, Le-Ying Li, Pengcui Li, Bing-Heng Li, Xiaoman Li, Xiaohong Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhifei Li, Jinhui Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Longyu Li, X B Li, Jianguo Li, En Li, Ximei Li, Shaoyong Li, Kai-Wen Li, Guandu Li, Yixue Li, Junfeng Li, Xin-Chang Li, Yue-Ying Li, Kongdong Li, Lian Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Xiaohua Li, Zhuangzhuang Li, Xiaohui Li, Cang Li, Xuepeng Li, Mingjiang Li, Zongyu Li, Shujie Li, Yanbin Li, Shiliang Li, Qinrui Li, Yiming Li, Xiao-Tong Li, Tie Li, Wei-Bo Li, Xiaoyi Li, Liyan Li, Xinke Li, Xiaokun Li, Ming-Wei Li, Minzhe Li, Wenfeng Li, Karen Li, X Li, Meifang Li, Yanjing Li, Maosheng Li, Ju-Rong Li, Shibo Li, Jin Li, Li-Na Li, Hui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Vivian S W Li, Ranchang Li, Defu Li, Amy Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Zhu Li, Rongling Li, Tong-Ruei Li, Ben Li, Yingxia Li, Yonghe Li, Xinwei Li, Yu-I Li, Shunhua Li, Mingxi Li, Qionghua Li, Guo-Li Li, Xingchen Li, Tianjiao Li, Gui-Rong Li, Yunpeng Li, Qiong Li, Songyu Li, Shi-Fang Li, Shude Li, Zhibin Li, Yaxiong Li, Qing-Fang Li, Shengwen Li, Gui-Bo Li, Xueer Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Mingzhou Li, Taixu Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Cun Li, T Li, Yinghui Li, Feilong Li, Sin-Lun Li, Weiling Li, Mengfan Li, Jie Li, Shiyan Li, Lianbing Li, Yanchun Li, Xuze Li, Jialin Li, Wenjian Li, He Li, Bichun Li, Hanqin Li, Guoge Li, Wen-Wen Li, Keying Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Xiangrui Li, Caolong Li, Michelle Li, Chaojie Li, J Li, Zhi-Jian Li, Jianwei Li, Jiexin Li, Hongyan Li, Zhen-Xi Li, Guangdi Li, Xiaxia Li, Nien Li, Yuefeng Li, Peiyuan Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Fen Li, Jieshou Li, Roger Li, Mengqing Li, Menglu Li, Huiqing Li, Yantao Li, Ruolin Li, Yongle Li, Haying Li, Shao-Dan Li, Muzi Li, Gen Li, Dong-Ling Li, Chenwen Li, Le Li, Yong-Jian Li, Si-Wei Li, Manru Li, Yingxi Li, Caili Li, Yuqian Li, Wei-Dong Li, Guannan Li, Ya-Feng Li, Wenlong Li, Yuna Li, Shengli Li, Shugang Li, Xuan Li, Yongze Li, Yongxin Li, Lu Li, Zhuo-Rong Li, Qinglin Li, Bingbing Li, Runzhi Li, Qi-Jing Li, Zhenyan Li, Ji Xia Li, Yu-Ye Li, Meizi Li, Yuezheng Li, Zhengnan Li, Jianglong Li, Xiaozheng Li, Huili Li, Hongzhe K Li, Xiao-Qiu Li, Jiejia Li, Yi-Yang Li, Zhihui Li, Fujun Li, Ni Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Chunliang Li, Ruiyang Li, Chun Li, Jianan Li, Wenfang Li, Xiangling Li, Sung-Chou Li, Lianhong Li, Cheng Li, Tiegang Li, Zhong Li, Shuang-Ling Li, Xiao-Long Li, Xiaofei Li, Hung-Yuan Li, Zhang Li, Jianxin Li, H Li, Dongliang Li, Chenxiao Li, Hongjia Li, Xiao-Jing Li, Y H Li, Jian Li, Daoyuan Li, Baichuan Li, Zhenzhe Li, Jian-Mei Li, Kaimi Li, Peiran Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Yike Li, Yihan Li, Junsheng Li, Jiayu Li, Wen-Ya Li, Rongxia Li, Yunlun Li, Guoqin Li, Huiqin Li, Chunlin Li, Jisen Li, Peng Peng Li, Kenli Li, Guanglu Li, Xiushi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Juanni Li, C Li, You-Mei Li, Beixu Li, Guiyuan Li, Suk-Yee Li, Shengjie Li, Yuanyuan Li, Xiaona Li, Shanyi Li, Chih-Chi Li, Hongbo Li, Xinhui Li, Jun Li, Mingzhe Li, Hongjuan Li, Senmao Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Yaying Li, Liqun Li, Changxian Li, Chunqing Li, Yanni Li, Yongsheng Li, Xiujuan Li, Huifang Li, Lingling Li, Xinhua Li, Minerva X Li, Alexander H Li, Wendeng Li, Ding Li, Ming-Yang Li, Shengze Li, Linyan Li, Hewei Li, Da-Jin Li, Xiao-kun Li, Yuanhao Li, Ji-Lin Li, Congcong Li, Juan Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Jinfeng Li, Shiheng Li, Hsiao-Fen Li, Mengjiao Li, Tianxiang Li, Meng-Meng Li, Liangkui Li, Tian-chang Li, Yahui Li, Wenlei Li, Xi-Xi Li, Haiyan Li, Xujun Li, Chi-Ming Li, Yi-Ning Li, Dandan Li, Yunan Li, Sherly X Li, Jiazhou Li, Zhijun Li, Zechuan Li, Wanling Li, Zhiwei Li, Xueshan Li, Jiangbo Li, Xiaohan Li, Huijie Li, Zhongwen Li, W W Li, Yalan Li, Xuejun Li, Shunwang Li, Yaqing Li, Chao Li, Yaqiao Li, Bingsheng Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Haoran Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, Chumei Li, Shijie Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xiaochun Li, Rui Li, Xuemin Li, Shanpeng Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Xuyi Li, Yunchu Li, Zhengyao Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Lin-Feng Li, Ziqing Li, Shuangxiu Li, Yongjin Li, Chenhao Li, Weizu Li, Deming Li, Jiuyi Li, Chun-Xu Li, Luyao Li, Desheng Li, Long-Yan Li, Fuyu Li, Lingzhi Li, Xiao-Sa Li, Kunlin Li, Shu-Qi Li, Zehua Li, Mengyuan Li, Congye Li, Wensheng Li, Dehai Li, Qingshang Li, Jiannan Li, Guanbin Li, Zhiyi Li, Xing Li, Zhaoyong Li, SuYun Li, Shiyi Li, Suchun Li, Yanan Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, Dongdong Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Shaojing Li, S S Li, Tong Li, Yilong Li, Lihua Li, Xue-Lian Li, Yansen Li, Hai Li, Zhi-Yuan Li, Jingfeng Li, Yanli Li, Yuan-Jing Li, Kaibin Li, Xiaohu Li, Wenjie Li, Ruikai Li, Qiyong Li, Ruixi Li, Zhonglian Li, Dalin Li, Kun Li, Qizhai Li, Pengju Li, Peifeng Li, Ai-Jun Li, Yueting Li, YaJie Li, Zijian Li, Yanqing Li, Jixuan Li, Zhandong Li, Xuejie Li, Gaizhen Li, Liang Li, Huafang Li, Nianyu Li, Chenlu Li, X-L Li, Shawn S C Li, Cuiguang Li, Dongye Li, F Li, Chunhong Li, Yuan Li, Kunpeng Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Xinle Li, Wuguo Li, Bing-Hui Li, Honggang Li, Jingyong Li, Shikang Li, Shi-Ying Li, Ming Xing Li, Ming-Xing Li, Marilyn Li, Bei-Bei Li, Hong-Lian Li, Shishi Li, Haitong Li, Yuli Li, Ruibing Li, Qingfang Li, Qibing Li, Wende Li, Heng Li, Xiao-Na Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Ka Wan Li, Huiyou Li, Binbin Li, Xinyao Li, Gui-xing Li, Niu Li, Shunle Li, Siyue Li, Diyan Li, Mengyao Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Gerard Li, Yuyun Li, Zhiqiong Li, Zonglin Li, Pik Yi Li, Jingxin Li, Defeng Li, Zu-guo Li, Xin-Zhu Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Junhong Li, Youchen Li, W Y Li, Yi-Heng Li, Runbing Li, Yanmin Li, Jingyi Li, Yuxiang Li, Hao-Fei Li, Yining Li, Xiurong Li, Haiyu Li, Huijuan Li, Yunze Li, Xu-Zhao Li, Yanzhong Li, Kainan Li, Guohui Li, Xiaoyan Li, Xu-Bo Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Xiaoxuan Li, Anyao Li, Qing-Chang Li, Hongliang Li, Dalei Li, Zongjun Li, Changqing Li, Hanting Li, Dong-Jie Li, Xiaomin Li, Dengxiong Li, Yi-Shuan J Li, Tinghao Li, Zhouxiang Li, Yun-tian Li, Jianliang Li, Guangzhao Li, Yixi Li, Shuyu Dan Li, S A Li, Jinjie Li, Liming Li, Wenqun Li, Guixia Li, Yinan Li, Aoxi Li, Yuanjing Li, Linqi Li, Xixi Li, Bingjue Li, Binghu Li, Yu-Hang Li, Shuhui Li, Mengying Li, Yihong Li, Yaxian Li, Dali Li, Zhiming Li, Xuemei Li, Xueting Li, Yongting Li, Hongxia Li, Zhenjun Li, Danyang Li, Tiandong Li, Di-Jie Li, Bo Li, Jinliang Li, Qiji Li, Zhipeng Li, Xiaoping Li, Linhong Li, Taoyingnan Li, Lieyou Li, Huabin Li, Mao Li, Yongchao Li, Xiaoting Li, Ruotai Li, Yaojia Li, Xiao-Yao Li, Shangming Li, Yaqi Li, Yibo Li, Gui-Hua Li, Zhihong Li, Yandong Li, Chaowei Li, Huiyuan Li, Yuchun Li, Boya Li, Lamei Li, O Li, Joyce Li, Suheng Li, Hui-Ping Li, Junru Li, Zhiqiang Li, Jiangchao Li, Hecheng Li, Yueping Li, Changkai Li, Zhenglong Li, Yajuan Li, Chaoqian Li, Yu-Cheng Li, Yirun Li, Haomiao Li, Qianqian Li, YiQing Li, Zhengliang Li, Weijie Li, Wei-Qin Li, Zongyi Li, Qingxian Li, Dan-Dan Li, Yeshan Li, Zirui Li, Keke Li, Yongpeng Li, Chanyuan Li, Jianbin Li, Shiying Li, Zhongzhe Li, Yumei Li, Xiang-Ping Li, Wenqiang Li, Pei-Shan Li, Zaibo Li, Guangming Li, Xiaoqiang Li, Hanxiao Li, Jiansheng Li, Shuying Li, Xiaomei Li, Pengjie Li, Jiajia Li, Jingwen Li
articles
Juan Gao, Ling Wang, Jian Zhang +4 more · 2024 · Aquaculture nutrition · added 2026-04-24
This study investigated the effect of dietary lipid levels on growth performance, lipid metabolism, antioxidant capacity, digestive enzyme activity, and metamorphosis rate of bullfrog (
📄 PDF DOI: 10.1155/2024/5513496
LPL
Yanting Yang, Yan Liu, Huan Tang +3 more · 2024 · Current eye research · Taylor & Francis · added 2026-04-24
FTY720 is an agonist of the Sphingosine-1-phosphate (S1P) receptor 1, 3, 4, and 5 and a functional antagonist of the S1P1 receptor; it can inhibit the activation of mTOR/NF-κB and has therapeutic pote Show more
FTY720 is an agonist of the Sphingosine-1-phosphate (S1P) receptor 1, 3, 4, and 5 and a functional antagonist of the S1P1 receptor; it can inhibit the activation of mTOR/NF-κB and has therapeutic potential in inflammatory disease. This study was designed to determine the role of the inflammatory process in diabetic retinopathy and investigate the effect of FTY720 on high glucose (HG)-induced rat retinal Müller cells (rMC-1 cells). In the present study, the role of FTY720 in inhibiting inflammation and its underlying mechanism were investigated. rMC-1 cells were treated without or with HG, FTY720, CQ, or RAP. Cell viability was examined by CCK-8 assay; cell activation was assessed by western blot analysis and IF staining; and cell migration was evaluated by a scratch wound healing assay. The expression of inflammation-associated proteins and autophagy-related proteins was evaluated by transmission electron microscopy, AO staining, MDC-labeled autophagic vacuoles, western blot analysis and ELISA. Western blot analysis and IF staining showed that the level of the rMC-1 cell marker GFAP was decreased, while GS was increased in FTY720 groups compared to that in the HG group. The healing assay results showed that compared with HG treatment, FTY720 treatment significantly reduced cell migration. Western blot analysis, ELISA and IF staining showed that compared with HG, FTY720 reduced proinflammatory proteins by inhibiting the mechanistic target of the mTOR/NF-κB signaling pathway and regulating autophagy. This study suggests that in an HG-induced rMC-1 cell model, FTY720 significantly inhibited the production of inflammatory cytokines by inhibiting mTOR/NF-κB signaling and regulating autophagy. These findings were associated with a decrease in rMC-1 cell injury, suggesting that FTY720 or related compounds may be valuable modulators of HG-induced retinal injury. Show less
no PDF DOI: 10.1080/02713683.2024.2337301
RMC1
Qian Li, Xiaowei Wang, Qiu Zhang +6 more · 2024 · Food chemistry · Elsevier · added 2026-04-24
The gold standard of milk is human milk, not cow milk. The present study expects to explored the comprehensive nutritional value of different kinds of milk and the differences between them through mul Show more
The gold standard of milk is human milk, not cow milk. The present study expects to explored the comprehensive nutritional value of different kinds of milk and the differences between them through multi-omics analysis and found functional components that are more similar to human milk. This study employed untargeted LC-MS/MS metabolomics, untargeted LC-MS/MS lipidomics, and 4D label-free proteomics analysis techniques. The findings revealed substantial disparities in metabolites, lipids, and proteins among the five types of milk. Notably, pig milk exhibited a remarkable abundance of N-acetylneuraminic acid (Neu5Ac) and specific polar lipids. Yak milk stood out with significantly elevated levels of creatine and lipoprotein lipase (LPL) compared to other species. Buffalo milk boasted the highest concentrations of L-isoleucine, echinocystic acid, and alkaline phosphatase, tissue-nonspecific isozyme (ALPL). The concentrations of iminostilbene and osteopontin (OPN) were higher in cow milk. Show less
no PDF DOI: 10.1016/j.foodchem.2024.140028
LPL
Haiyan Wu, Yanping Chen, Huimei Lin +3 more · 2024 · Indian journal of pathology & microbiology · added 2026-04-24
To explore the relationships among the epithelial to mesenchymal transition (EMT)-related factors (SNAIL, TWIST, and E-Cadherin) and clinicopathological parameters and gastric mesangial tumor deposits Show more
To explore the relationships among the epithelial to mesenchymal transition (EMT)-related factors (SNAIL, TWIST, and E-Cadherin) and clinicopathological parameters and gastric mesangial tumor deposits (TDs) in advanced gastric cancer (AGC) patients and their value in gastric cancer prognosis judgment. The data of 190 patients who underwent radical resection of ACG were analyzed retrospectively, including 75 cases of TDs (+) and 115 cases of TDs (-). The expression of EMT-related transforming factors Snail, Twist, and E-cadherin in the primary tumor, paracancerous normal tissues, and TDs was detected by immunohistochemistry. SNAIL and TWIST were overexpressed in primary tumors and TDs, whereas E-Cadherin was down-expressed in primary tumors. SNAIL was correlated significantly with tumor differentiation, lymph node metastases, and TDs (P < 0.05); TWIST was correlated strongly with tumor location, lymph node metastases, and TDs (P < 0.05); E-Cadherin was correlated closely with tumor differentiation and lymph node metastases (P < 0.05). Kaplan-Meier curves showed that SNAIL expression was correlated with DFS (P < 0.05), and TWIST expression was correlated with OS (P < 0.05). Tumor differentiation, lymph node metastasis, and TWIST expression were prognostic-independent risk factors of AGC patients (P < 0.05). The occurrence and development of gastric cancer and the formation of TDs may be related to EMT, analyzing the expression of EMT-related transforming proteins may be helpful to judge the prognosis of gastric cancer. Show less
no PDF DOI: 10.4103/ijpm.ijpm_659_22
SNAI1
Shajidan Abudureyimu, Chunhui He, Dilihumaer Abulaiti +8 more · 2024 · Reviews in cardiovascular medicine · added 2026-04-24
This study aims to investigate the association between nine tag single nucleotide polymorphisms (SNPs) in the A case-control study was conducted to investigate the association between CAD and Results Show more
This study aims to investigate the association between nine tag single nucleotide polymorphisms (SNPs) in the A case-control study was conducted to investigate the association between CAD and Results of the polymorphism study indicated that the The Show less
📄 PDF DOI: 10.31083/j.rcm2504147
APOB
Li Li, Ciria C Hernandez, Luis E Gimenez +6 more · 2024 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Most antipsychotic drugs (APDs) induce hyperphagia and weight gain. However, the neural mechanisms are poorly understood, partly due to challenges replicating their metabolic effects in rodents. Here, Show more
Most antipsychotic drugs (APDs) induce hyperphagia and weight gain. However, the neural mechanisms are poorly understood, partly due to challenges replicating their metabolic effects in rodents. Here, we report a new mouse model that recapitulates overeating induced by clozapine, a widely prescribed APD. Our study shows that clozapine boosts food intake by inhibiting melanocortin 4 receptor (MC4R) expressing neurons in the paraventricular nucleus of the hypothalamus. Interestingly, neither clozapine nor risperidone, another commonly used APD, affects receptor-ligand binding or the canonical Gαs signaling of MC4R. Instead, they inhibit neuronal activity by enhancing the coupling between MC4R and Kir7.1, leading to the open state of the inwardly rectifying potassium channel. Deletion of Show less
no PDF DOI: 10.1101/2024.06.07.597973
MC4R
Long Li, Jin Wang, Shanbo Ma +5 more · 2024 · Heliyon · Elsevier · added 2026-04-24
In this study, the pathogenic genes of depression were calculated and analyzed by bioinformatics method, and then the key genes of Shaoyao Gancao Decoction in the treatment of depression were deduced Show more
In this study, the pathogenic genes of depression were calculated and analyzed by bioinformatics method, and then the key genes of Shaoyao Gancao Decoction in the treatment of depression were deduced and predicted through the correlation study with the target of Shaoyao Gancao Decoction. Through the production of LPS depression model mice, drug treatment, behavioral test and hippocampal tissue sample detection, it was found that Shaoyao Gancao Decoction can regulate the levels of IL-10, TNF- α, BDNF, SMAD3, FGFR1 and FGFR2 to improve depression, which can provide a theoretical basis for exploring the efficacy of Shaoyao Gancao Decoction in the treatment of depression. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e34865
FGFR1
Rui Peng, Yan Chen, Liangnian Wei +6 more · 2024 · Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · Springer · added 2026-04-24
no PDF DOI: 10.1007/s10120-024-01489-3
FGFR1
Jian Gao, Linjie Yuan, Huanyu Jiang +7 more · 2024 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Previous studies have demonstrated that naringenin possesses lipid-lowering effects; however, the underlying mechanisms, particularly its specific molecular targets, remain uncertain. Using bioinforma Show more
Previous studies have demonstrated that naringenin possesses lipid-lowering effects; however, the underlying mechanisms, particularly its specific molecular targets, remain uncertain. Using bioinformatics, three traditional Chinese medicine databases and one human disease database were integrated to establish two naringenin-target-hyperlipidemia modules: naringenin-oxidative stress (OS) and naringenin-lipid metabolism (LM). Data on 1,850 proteins from 1,871 genetic instruments were sourced from seven previous studies. Using Mendelian randomization based on data from the Integrative Epidemiology Unit genome-wide association study (case, n = 5,153; control, n = 344,069), we identified potential drug targets that were subsequently validated in the UK Biobank (396,565 individuals) and FinnGen (412,181 individuals) cohorts. Using molecular docking and molecular dynamics simulation to verify the binding ability of naringenin and causal protein. In plasma, every standard deviation increase in apolipoprotein B (APOB) was associated with an increased risk of hyperlipidemia (odds ratio [OR] = 9.37, 95% confidence interval [CI], 5.12-17.12; This Mendelian randomization-based combined analysis offers a robust framework for elucidating the pharmacological effects of naringenin and identifying candidate proteins for further investigation in the context of hyperlipidemia treatment. Show less
📄 PDF DOI: 10.3389/fphar.2024.1448308
APOB
Haoran Yang, Anna Zhao, Yuxiang Chen +3 more · 2024 · BMC oral health · BioMed Central · added 2026-04-24
Periodontitis is a chronic inflammatory condition triggered by immune system malfunction. Mitochondrial extracellular vesicles (MitoEVs) are a group of highly heterogeneous extracellular vesicles (EVs Show more
Periodontitis is a chronic inflammatory condition triggered by immune system malfunction. Mitochondrial extracellular vesicles (MitoEVs) are a group of highly heterogeneous extracellular vesicles (EVs) enriched in mitochondrial fractions. The objective of this research was to examine the correlation between MitoEVs and the immune microenvironment of periodontitis. Data from MitoCarta 3.0, GeneCards, and GEO databases were utilized to identify differentially expressed MitoEV-related genes (MERGs) and conduct functional enrichment and pathway analyses. The random forest and LASSO algorithms were employed to identify hub MERGs. Infiltration levels of immune cells in periodontitis and healthy groups were estimated using the CIBERSORT algorithm, and phenotypic subgroups of periodontitis based on hub MERG expression levels were explored using a consensus clustering method. A total of 44 differentially expressed MERGs were identified. The random forest and LASSO algorithms identified 9 hub MERGs (BCL2L11, GLDC, CYP24A1, COQ2, MTPAP, NIPSNAP3A, FAM162A, MYO19, and NDUFS1). ROC curve analysis showed that the hub gene and logistic regression model presented excellent diagnostic and discriminating abilities. Immune infiltration and consensus clustering analysis indicated that hub MERGs were highly correlated with various types of immune cells, and there were significant differences in immune cells and hub MERGs among different periodontitis subtypes. The periodontitis classification model based on MERGs shows excellent performance and can offer novel perspectives into the pathogenesis of periodontitis. The high correlation between MERGs and various immune cells and the significant differences between immune cells and MERGs in different periodontitis subtypes can clarify the regulatory roles of MitoEVs in the immune microenvironment of periodontitis. Future research should focus on elucidating the functional mechanisms of hub MERGs and exploring potential therapeutic interventions based on these findings. Show less
no PDF DOI: 10.1186/s12903-024-03912-8
MYO19
Jinyang An, Donghua Fu, Ximei Chen +4 more · 2024 · Frontiers in immunology · Frontiers · added 2026-04-24
The prevalence of metabolic diseases, such as obesity, has been steadily increasing in recent years, posing a significant threat to public health. Therefore, early identification and intervention play Show more
The prevalence of metabolic diseases, such as obesity, has been steadily increasing in recent years, posing a significant threat to public health. Therefore, early identification and intervention play a crucial role. With the deepening understanding of the etiology of metabolic diseases, novel therapeutic targets are emerging for the treatment of obesity, lipid metabolism disorders, cardiovascular and cerebrovascular diseases, glucose metabolism disorders, and other related metabolic conditions. IL-27, as a multi-potent cytokine, holds great promise as a potential candidate target in this regard. This article provides a comprehensive review of the latest findings on IL-27 expression and signal transduction in the regulation of immune inflammatory cells, as well as its implications in obesity and other related metabolic diseases. Furthermore, it explores the potential of IL-27 as a novel therapeutic target for the treatment of obesity and metabolic disorders. Finally, an overview is presented on both the opportunities and challenges associated with targeting IL-27 for therapeutic interventions. Show less
📄 PDF DOI: 10.3389/fimmu.2024.1498288
IL27
Yan Li, Shuang Chen, Qian Yang +5 more · 2024 · Journal of translational medicine · BioMed Central · added 2026-04-24
Renal interstitial fibrosis (RIF) is a progressive, irreversible terminal kidney disease with a poor prognosis and high mortality. Angiopoietin-like 4 (ANGPTL4) is known to be associated with fibrosis Show more
Renal interstitial fibrosis (RIF) is a progressive, irreversible terminal kidney disease with a poor prognosis and high mortality. Angiopoietin-like 4 (ANGPTL4) is known to be associated with fibrosis in various organs, but its impact on the RIF process remains unclear. This study aimed to elucidate the role and underlying mechanisms of ANGPTL4 in the progression of RIF. In vivo, a chronic kidney disease (CKD) rat model of renal interstitial fibrosis was established via intragastric administration of adenine at different time points (4 and 6 weeks). Blood and urine samples were collected to assess renal function and 24-h urinary protein levels. Kidney tissues were subjected to HE and Masson staining for pathological observation. Immunohistochemistry and real-time quantitative PCR (qRT‒PCR) were performed to evaluate the expression of ANGPTL4 and hypoxia-inducible factor-1α (HIF-1α), followed by Pearson correlation analysis. Subsequently, kidney biopsy tissues from 11 CKD patients (6 with RIF and 5 without RIF) were subjected to immunohistochemical staining to validate the expression of ANGPTL4. In vitro, a fibrosis model of human renal tubular epithelial cells (HK2) was established through hypoxic stimulation. Subsequently, an HIF-1α inhibitor (2-MeOE2) was used, and ANGPTL4 was manipulated using siRNA or plasmid overexpression. Changes in ANGPTL4 and fibrosis markers were analyzed through Western blotting, qRT‒PCR, and immunofluorescence. ANGPTL4 was significantly upregulated in the CKD rat model and was significantly positively correlated with renal injury markers, the fibrotic area, and HIF-1α. These results were confirmed by clinical samples, which showed a significant increase in the expression level of ANGPTL4 in CKD patients with RIF, which was positively correlated with HIF-1α. Further in vitro studies indicated that the expression of ANGPTL4 is regulated by HIF-1α, which in turn is subject to negative feedback regulation by ANGPTL4. Moreover, modulation of ANGPTL4 expression influences the progression of fibrosis in HK2 cells. Our findings indicate that ANGPTL4 is a key regulatory factor in renal fibrosis, forming a loop with HIF-1α, potentially serving as a novel therapeutic target for RIF. Show less
📄 PDF DOI: 10.1186/s12967-024-05466-3
ANGPTL4
Guangming Mao, Wenhao Xu, Lingli Wan +8 more · 2024 · Frontiers in immunology · Frontiers · added 2026-04-24
Type 2 Diabetes Mellitus (T2D) and Osteoarthritis (OA) are both prevalent diseases that significantly impact the health of patients. Increasing evidence suggests that there is a big correlation betwee Show more
Type 2 Diabetes Mellitus (T2D) and Osteoarthritis (OA) are both prevalent diseases that significantly impact the health of patients. Increasing evidence suggests that there is a big correlation between T2D and OA, but the molecular mechanisms remain elusive. The aims of this study are to investigate the shared biomarkers and potential molecular mechanisms in T2D combined with OA. T2D and OA-related differentially expressed genes (DEGs) were identified via bioinformatic analysis on Gene Expression Omnibus (GEO) datasets GSE26168 and GSE114007 respectively. Subsequently, extensive target prediction and network analysis were finished with Gene Ontology (GO), protein-protein interaction (PPI), and pathway enrichment with DEGs. The transcription factors (TFs) and miRNAs coupled in co-expressed DEGs involved in T2D and OA were predicted as well. The key genes expressed both in the clinical tissues of T2D and OA were detected with western blot and qRT-PCR assay. Finally, the most promising candidate compounds were predicted with the Drug-Gene Interaction Database (DGIdb) and molecular docking. In this study, 209 shared DEGs between T2D and OA were identified. Functional analysis disclosed that these DEGs are predominantly related to ossification, regulation of leukocyte migration, extracellular matrix (ECM) structural constituents, PI3K/AKT, and Wnt signaling pathways. Further analysis via Protein-Protein Interaction (PPI) analysis and validation with external datasets emphasized MMP9 and ANGPTL4 as crucial genes in both T2D and OA. Our findings were validated through qRT-PCR and Western blot analyses, which indicated high expression levels of these pivotal genes in T2D, OA, and T2D combined with OA cases. Additionally, the analysis of Transcription Factors (TFs)-miRNA interactions identified 7 TFs and one miRNA that jointly regulate these important genes. The Receiver Operating characteristic (ROC) analysis demonstrated the significant diagnostic potential of MMP9 and ANGPTL4.Moreover, we identified raloxifene, ezetimibe, and S-3304 as promising agents for patients with both T2D and OA. This study uncovers the shared signaling pathways, biomarkers, potential therapeutics, and diagnostic models for individuals suffering from both T2D and OA. These findings not only present novel perspectives on the complex interplay between T2D and OA but also hold significant promise for improving the clinical management and prognosis of patients with this concurrent condition. Show less
📄 PDF DOI: 10.3389/fimmu.2024.1353915
ANGPTL4
Zaifeng Zhang, Lili Zhang, Jiangtao Li +6 more · 2024 · Computational and structural biotechnology journal · Elsevier · added 2026-04-24
N6 adenosine methylation (m
no PDF DOI: 10.1016/j.csbj.2024.02.029
SNRPC
Jiandong Yuan, Wenlang Liu, Xiaohui Jiang +12 more · 2024 · Scientific reports · Nature · added 2026-04-24
The dual activation of glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) has emerged as a promising therapeutic strategy for managing type 2 di Show more
The dual activation of glucagon-like peptide-1 receptor (GLP-1R) and glucose-dependent insulinotropic polypeptide receptor (GIPR) has emerged as a promising therapeutic strategy for managing type 2 diabetes and obesity. Tirzepatide, a dual agonist peptide, has exhibited superior clinical efficacy in glycemic and weight control compared to selective GLP-1R agonists. Nevertheless, the structural basis of Tirzepatide's extended half-life, attributed to an acylation side chain on the parent peptide, raises questions regarding its partial agonistic activity. Employing molecular dynamics simulations, we explored the dynamic processes of peptide-receptor interactions. We uncovered a crucial salt bridge between parent peptide and GLP-1R/GIPR at K20, a feature not discernible in cryo-electron microscopy structures. Building upon these insights, we developed an optimization strategy based on the parent peptide which involved repositioning the acylation side chain. The results of both in vitro and in vivo experiments demonstrated that the optimized peptide has twofold to threefold increase in agonistic activity compared to Tirzepatide while maintaining its extended half-life in plasma. This led to the design of BGM0504, which proved to be more effective than its predecessor, Tirzepatide, in both laboratory and animal studies. Show less
📄 PDF DOI: 10.1038/s41598-024-66998-8
GIPR
Daimin Xiang, Junyu Liu, Yichuan Wang +13 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal Show more
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T-IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome-dependent manner. Patient-derived tumor organoids (PDOs), patient-derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs-resistant HCC with adeno-associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy. Show less
📄 PDF DOI: 10.1002/advs.202401228
FGFR1
Jie Wu, Yuting Zhang, Guoxing You +8 more · 2024 · Aging · Impact Journals · added 2026-04-24
Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system that has a poor 5-year survival rate. Anoikis, a type of programmed cell death, contributes to tumor development and metastasi Show more
Lung adenocarcinoma (LUAD) is a malignant tumor of the respiratory system that has a poor 5-year survival rate. Anoikis, a type of programmed cell death, contributes to tumor development and metastasis. The aim of this study was to develop an anoikis-based stratified model, and a multivariable-based nomogram for guiding clinical therapy for LUAD. Through differentially expressed analysis, univariate Cox, LASSO Cox regression, and random forest algorithm analysis, we established a 4 anoikis-related genes-based stratified model, and a multivariable-based nomogram, which could accurately predict the prognosis of LUAD patients in the TCGA and GEO databases, respectively. The low and high-risk score LUAD patients stratified by the model showed different tumor mutation burden, tumor microenvironment, gemcitabine sensitivity and immune checkpoint expressions. Through immunohistochemical analysis of clinical LUAD samples, we found that the 4 anoikis-related genes (PLK1, SLC2A1, ANGPTL4, CDKN3) were highly expressed in the tumor samples from clinical LUAD patients, and knockdown of these genes in LUAD cells by transfection with small interfering RNAs significantly inhibited LUAD cell proliferation and migration, and promoted anoikis. In conclusion, we developed an anoikis-based stratified model and a multivariable-based nomogram of LUAD, which could predict the survival of LUAD patients and guide clinical treatment. Show less
📄 PDF DOI: 10.18632/aging.205521
ANGPTL4
Yu Fu, Manjin Zhang, Bingdong Sui +13 more · 2024 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.94943
AXIN1
Yan Li, Yuxin Zhang, Mengxia Cao +2 more · 2024 · Frontiers in pharmacology · Frontiers · added 2026-04-24
The global burden of renal diseases is increasingly severe, underscoring the need for in-depth exploration of the molecular mechanisms underlying renal disease progression and the development of poten Show more
The global burden of renal diseases is increasingly severe, underscoring the need for in-depth exploration of the molecular mechanisms underlying renal disease progression and the development of potential novel biomarkers or therapeutic targets. Angiopoietin-like protein 4 (ANGPTL4) is a multifunctional cytokine involved in the regulation of key biological processes, such as glucose and lipid metabolism, inflammation, vascular permeability, and angiogenesis, all of which play crucial roles in the pathogenesis of kidney diseases. Over the past 2 decades, ANGPTL4 has been regarded as playing a pivotal role in the progression of various kidney diseases, prompting significant interest from the scientific community regarding its potential clinical utility in renal disorders. This review synthesizes the available literature, provides a concise overview of the molecular biological effects of ANGPTL4, and highlights its relationship with multiple renal diseases and recent research advancements. These findings underscore the important gaps that warrant further investigation to develop novel targets for the prediction or treatment of various renal diseases. Show less
📄 PDF DOI: 10.3389/fphar.2024.1475198
ANGPTL4
Man Ao, Xin Yang, Shuping Wang +5 more · 2024 · Human & experimental toxicology · SAGE Publications · added 2026-04-24
To elucidate the relationships between depression level and serum inflammatory factors and thyroxine levels in patients with malignant bone tumors associated with depression. The depression ( The IL-1 Show more
To elucidate the relationships between depression level and serum inflammatory factors and thyroxine levels in patients with malignant bone tumors associated with depression. The depression ( The IL-1β, IL-6, and IL-21 levels were lower and TGF-β1, IL-10, and IL-27 were higher in the depression group after treatment than before treatment. After treatment, T3 levels were higher and T4 levels were lower in the depression group. T4 levels were higher in patients with major depression than those with mild depression. IL-1β and IL-21 levels were elevated in moderately depressed patients [(11.13 ± 1.49) ng/L、(9.71 ± 1.26) ng/L], and IL-1β levels were elevated in severely depressed patients [(11.26 ± 1.95) ng/L], compared to mildly depressed patients [(9.36 ± 1.25) ng/L, (7.95 ± 1.31) ng/L] (all Depression degree in patients with malignant bone tumors correlates with serum inflammatory factors and thyroxine levels. Measurement of serum inflammatory factors and thyroxine levels can assess the progression and prognosis of depressed patients. Show less
no PDF DOI: 10.1177/09603271241293119
IL27
Yingchun Zheng, Ting Lu, Leitao Zhang +7 more · 2024 · BMC biology · BioMed Central · added 2026-04-24
The molecular mechanisms and signaling pathways involved in tooth morphogenesis have been the research focus in the fields of tooth and bone development. However, the cell population in molars at the Show more
The molecular mechanisms and signaling pathways involved in tooth morphogenesis have been the research focus in the fields of tooth and bone development. However, the cell population in molars at the late bell stage and the mechanisms of hard tissue formation and mineralization remain limited knowledge. Here, we used the rat mandibular first and second molars as models to perform single-cell RNA sequencing (scRNA-seq) analysis to investigate cell identity and driver genes related to dental mesenchymal cell differentiation during the late bell hard tissue formation stage. We identified seven main cell types and investigated the heterogeneity of mesenchymal cells. Subsequently, we identified novel cell marker genes, including Pclo in dental follicle cells, Wnt10a in pre-odontoblasts, Fst and Igfbp2 in periodontal ligament cells, and validated the expression of Igfbp3 in the apical pulp. The dynamic model revealed three differentiation trajectories within mesenchymal cells, originating from two types of dental follicle cells and apical pulp cells. Apical pulp cell differentiation is associated with the genes Ptn and Satb2, while dental follicle cell differentiation is associated with the genes Tnc, Vim, Slc26a7, and Fgfr1. Cluster-specific regulons were analyzed by pySCENIC. In addition, the odontogenic function of driver gene TNC was verified in the odontoblastic differentiation of human dental pulp stem cells. The expression of osteoclast differentiation factors was found to be increased in macrophages of the mandibular first molar. Our results revealed the cell heterogeneity of molars in the late bell stage and identified driver genes associated with dental mesenchymal cell differentiation. These findings provide potential targets for diagnosing dental hard tissue diseases and tooth regeneration. Show less
📄 PDF DOI: 10.1186/s12915-024-01996-w
FGFR1
Jianfeng Li, Junhong Li, Xianlong Li +9 more · 2024 · International immunopharmacology · Elsevier · added 2026-04-24
Blood always shows coagulation changes after spinal cord injury (SCI), and identifying these blood changes may be helpful for diagnosis and treatment of SCI. Nevertheless, studies to date on blood coa Show more
Blood always shows coagulation changes after spinal cord injury (SCI), and identifying these blood changes may be helpful for diagnosis and treatment of SCI. Nevertheless, studies to date on blood coagulation changes after SCI in humans are not comprehensive. Therefore, this study aims to identify blood coagulation diagnostic biomarkers and immune changes related to SCI and its severity levels. Human blood sequencing datasets were obtained from public databases. Differentially expressed coagulation-related genes were analyzed (DECRGs). Enrichment analysis and assessment of immune changes were conducted. Weighted gene co-expression network analysis, least absolute shrinkage and selection operator logistic regression were used to identify biomarkers. Validation for these biomarkers was performed. The correlation between biomarkers and immune cells was evaluated. Transcription factors, miRNA, lncRNA, and drugs that can regulate biomarkers were analyzed. DECRGs associated with SCI and its different grades were identified, showing enrichment in altered coagulation and immune-related signaling pathways. ADAM9, CD55, and STAT4 were identified as coagulation diagnostic biomarkers for SCI. IRF4 and PABPC4 were identified as coagulation diagnostic biomarkers for American Spinal Injury Association Impairment Scale (AIS) A grade of SCI. GP9 was designated as a diagnostic biomarker for AIS D grade of SCI. Immune changes in blood of SCI and its different grades were observed. Correlation between diagnostic biomarkers and immune cells were identified. Transcription factors, miRNA, lncRNA, and drugs that can regulate diagnostic biomarker expression were discovered. Therefore, detecting the expression of these putative diagnostic biomarkers and related immune changes may be helpful for predicting the severity of SCI. Uncovering potential regulatory mechanisms for biomarkers may be beneficial for further research. Show less
no PDF DOI: 10.1016/j.intimp.2024.112505
PABPC4
Weihong Chen, Shaobin Li, Dongqin Huang +3 more · 2024 · Frontiers in medicine · Frontiers · added 2026-04-24
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer and currently lacks effective biomarkers. This research aims to analyze and identify RNA editing profile associated with Show more
Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cancer and currently lacks effective biomarkers. This research aims to analyze and identify RNA editing profile associated with ccRCC prognosis through bioinformatics and Transcriptome data and clinical information for ccRCC were retrieved from the TCGA database, and RNA editing files were obtained from the Synapse database. Prognostic models were screened, developed, and assessed using consistency index analysis and independent prognostic analysis, etc. Internal validation models were also constructed for further evaluation. Differential genes were investigated using GO, KEGG, and GSEA enrichment analyses. Furthermore, qPCR was performed to determine gene expression in human renal tubular epithelial cells HK-2 and ccRCC cells A-498, 786-O, and Caki-2. An RNA editing-based risk score, that effectively distinguishes between high and low-risk populations, has been identified. It includes CHD3| chr17:7815229, MYO19| chr17:34853704, OIP5-AS1| chr15:41590962, MRI1| chr19:13883962, GBP4| chr1:89649327, APOL1| chr22:36662830, FCF1| chr14:75203040 edited sites or genes and could serve as an independent prognostic factor for ccRCC patients. qPCR results showed significant up-regulation of CHD3, MYO19, MRI1, APOL1, and FCF1 in A-498, 786-O, and Caki-2 cells, while the expression of OIP5-AS1 and GBP4 was significantly down-regulated. RNA editing site-based prognostic models are valuable in differentiating between high and low-risk populations. The seven identified RNA editing sites may be utilized as potential biomarkers for ccRCC. Show less
no PDF DOI: 10.3389/fmed.2024.1390803
MYO19
Jeffrey Wang, Weiwei Zhang, Xinjie Xu +13 more · 2024 · Human pathology · Elsevier · added 2026-04-24
The PICALM::MLLT10 fusion is a rare but recurrent cytogenetic abnormality in acute leukemia, with limited clinicopathologic and outcome data available. Herein, we analyzed 156 acute leukemia patients Show more
The PICALM::MLLT10 fusion is a rare but recurrent cytogenetic abnormality in acute leukemia, with limited clinicopathologic and outcome data available. Herein, we analyzed 156 acute leukemia patients with PICALM::MLLT10 fusion, including 12 patients from our institutions and 144 patients from the literature. The PICALM::MLLT10 fusion preferentially manifested in pediatric and young adult patients, with a median age of 24 years. T-lymphoblastic leukemia/lymphoma (T-ALL) constituted 65% of cases, acute myeloid leukemia (AML) 27%, and acute leukemia of ambiguous lineage (ALAL) 8%. About half of T-ALL were classified as an early T-precursor (ETP)-ALL. In our institutions' cohort, mediastinum was the most common extramedullary site of involvement. Eight of 12 patients were diagnosed with T-ALL exhibiting a pro-/pre-T stage phenotype (CD4/CD8-double negative, CD7-positive), and frequent CD79a expression. NGS revealed pathogenic mutations in 5 of 6 tested cases, including NOTCH1, and genes in RAS and JAK-STAT pathways and epigenetic modifiers. Of 138 cases with follow-up, pediatric patients (<18 years) had 5-year overall survival (OS) of 71%, significantly better than adults at 33%. The 5-year OS for AML patients was 25%, notably shorter than T-ALL patients at 54%; this distinction was observed in both pediatric and adult populations. Furthermore, adult but not pediatric ETP-ALL patients demonstrated inferior survival compared to non-ETP-ALL patients. Neither karyotype complexity nor transplant status had a discernible impact on OS. In conclusion, PICALM::MLLT10 fusion is most commonly seen in T-ALL patients, particularly those with an ETP phenotype. AML and adult ETP-ALL patients had adverse prognosis. PICALM::MLTT10 fusion testing should be considered in T-ALL, AML, and ALAL patients. Show less
no PDF DOI: 10.1016/j.humpath.2024.07.003
MLLT10
Hua Yu, Zhao-Xia Zou, Wei Wei +1 more · 2024 · Marine biotechnology (New York, N.Y.) · Springer · added 2026-04-24
The relationship between conjugated linoleic acid (CLA) and lipogenesis has been extensively studied in mammals and some cell lines, but it is relatively rare in fish, and the potential mechanism of a Show more
The relationship between conjugated linoleic acid (CLA) and lipogenesis has been extensively studied in mammals and some cell lines, but it is relatively rare in fish, and the potential mechanism of action of CLA reducing fat mass remains unclear. The established primary culture model for studying lipogenesis in grass carp (Ctenopharyngodon idella) preadipocytes was used in the present study, and the objective was to explore the effects of CLA on intracellular lipid and TG content, fatty acid composition, and mRNA levels of adipogenesis transcription factors, lipase, and apoptosis genes in grass carp adipocytes in vitro. The results showed that CLA reduced the size of adipocyte and lipid droplet and decreased the content of intracellular lipid and TG, which was accompanied by a significant down-regulation of mRNA abundance in transcriptional regulators including peroxisome proliferator-activated receptor (PPAR) γ, CCAAT/enhancer-binding protein (C/EBP) α, sterol regulatory element-binding protein (SREBP) 1c, lipase genes including fatty acid synthase (FAS), acetyl-CoA carboxylase (ACC), lipoprotein lipase (LPL). Meanwhile, it decreased the content of saturated fatty acids (SFAs) and n - 6 polyunsaturated fatty acid (n-6 PUFA) and increased the content of monounsaturated fatty acid (MUFA) and n - 3 polyunsaturated fatty acid (n-3 PUFA) in primary grass carp adipocyte. In addition, CLA induced adipocyte apoptosis through downregulated anti-apoptotic gene B-cell CLL/lymphoma 2 (Bcl-2) mRNA level and up-regulated pro-apoptotic genes tumor necrosis factor-α (TNF-α), Bcl-2-associated X protein (Bax), Caspase-3, and Caspase-9 mRNA level in a dose-dependent manner. These findings suggest that CLA can act on grass carp adipocytes through various pathways, including decreasing adipocyte size, altering fatty acid composition, inhibiting adipocyte differentiation, promoting adipocyte apoptosis, and ultimately decreasing lipid accumulation. Show less
📄 PDF DOI: 10.1007/s10126-024-10286-z
LPL
Jun Li, Yang Liu, Zhitao Wei +2 more · 2024 · Heliyon · Elsevier · added 2026-04-24
The cellular mechanism of the formation of abdominal aortic aneurysm (AAA) is very complicated. A series of sophisticated events eventually led to significant pathological changes in the anatomical st Show more
The cellular mechanism of the formation of abdominal aortic aneurysm (AAA) is very complicated. A series of sophisticated events eventually led to significant pathological changes in the anatomical structure and function of the arterial wall and they are still not clear nowadays. We pooled publicly available GEO datasets (GSE57691 and GSE47472) to get a comprehensive comparisons between normal tissues and AAA tissues to try to reveal molecular mechanism underlying the disease. Total 63 AAA samples and 18 normal tissue samples were compared and we fond that there were 784 significantly different gene (DEGs, threshold set as adjusted In the pathway enrichment, we found that FOXP3 related signaling pathways, inflammation-related cytokine signaling pathways, interleukin-8-CXCR1 related signaling pathways and VEGFA and FGFR1 related signal pathway were significantly enrichmented. In Weighted gene co-expression network analysis (WGCNA), we found that the key hub genes were significantly related to lipid catabolic metabolism, which further verified the possibility that AAA might relate to energy metabolism disorders. Based on the comprehensive analysis of previous high-throughput data and the validation of basic experiments, we found that the occurrence of AAA may be related to energy metabolism disorders and local inflammation. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e27912
FGFR1
Di Feng, Xiao Wang, Jiahui Song +8 more · 2024 · Human reproduction (Oxford, England) · Oxford University Press · added 2026-04-24
Is there a relationship between serum uric acid and fructose levels in polycystic ovary syndrome (PCOS)? Elevated serum uric acid levels in women with PCOS positively correlate with serum fructose lev Show more
Is there a relationship between serum uric acid and fructose levels in polycystic ovary syndrome (PCOS)? Elevated serum uric acid levels in women with PCOS positively correlate with serum fructose levels, and elevated serum fructose levels are an independent risk factor for hyperuricemia in women with PCOS. Our previous study suggested a link between elevated serum fructose levels and PCOS. Fructose is unique as it generates uric acid during metabolism, and high uric acid levels are associated with metabolic disorders and an increased risk of anovulation. However, the relationship between serum uric acid and fructose levels in women with PCOS remains unclear. In a case-control study of 774 women (482 controls and 292 patients with PCOS) between May and October 2020 at the Shengjing Hospital of China Medical University, the relationship between uric acid and fructose levels in women with PCOS was examined. Participants were divided into subgroups based on various factors, including BMI, insulin resistance, dyslipidemia, metabolic syndrome, and hyperuricemia. Serum uric acid concentrations were measured using enzymatic assays, and serum fructose levels were determined using a fluorescent enzyme immunoassay. Dietary fructose data were collected through a validated food-frequency questionnaire of 81 food items. We applied restricted cubic splines to a flexibly model and visualized the linear/nonlinear relationships between serum uric acid and fructose levels in PCOS. Multivariate logistic analysis was executed to assess the association between serum fructose levels and hyperuricemia in PCOS. Human granulosa cell and oocyte mRNA profile sequencing data were downloaded for mapping uric acid and fructose metabolism genes in PCOS. Further downstream analyses, including Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, and protein-protein interactions were then carried out on the differentially expressed genes (DEGs). The correlation between uric acid and fructose metabolism genes was calculated using the Pearson correlation coefficient. The GeneCards database was used to identify DEGs related to uric acid and fructose metabolism in PCOS, and then several DEGs were confirmed by quantitative real-time PCR. Both serum fructose and uric acid levels were significantly increased in women with PCOS compared with the control women (P  <  0.001), and there was no statistically significant difference in dietary fructose intake between PCOS and controls, regardless of metabolic status. There was a positive linear correlation between serum uric acid and fructose levels in women with PCOS (Poverall < 0.001, Pnon-linear = 0.30). In contrast, no correlation was found in control women (Poverall = 0.712, Pnon-linear = 0.43). Additionally, a non-linear association was observed in the obese subgroup of patients with PCOS (Poverall < 0.001, Pnon-linear = 0.02). Serum uric acid levels were linearly and positively associated with serum fructose levels in patients with PCOS with insulin resistance, dyslipidemia, and metabolic syndrome. Furthermore, even after adjusting for confounding factors, elevated serum fructose levels were an independent risk factor for hyperuricemia in patients with PCOS (P  =  0.001; OR, 1.380; 95% CI, 1.207-1.577). There were 28 uric acid and 25 fructose metabolism genes which showed a significant correlation in PCOS. Seven upregulated genes (CAT, CRP, CCL2, TNF, MMP9, GCG, and APOB) related to uric acid and fructose metabolism in PCOS ovarian granulosa cells were ultimately successfully validated using quantitative real-time PCR. Due to limited conditions, more possible covariates (such as smoking and ethnicity) were not included, and the underlying molecular mechanism between fructose and uric acid levels in women with PCOS remains to be further investigated. The results of this study and our previous research indicate that the high uric acid status of PCOS may be mediated by fructose metabolism disorders, highlighting the importance of analyzing fructose metabolism, and especially its metabolic byproduct uric acid, during the clinical diagnosis of PCOS. These results suggest the adverse effects of high uric acid in PCOS, and the importance of taking early interventions regarding uric acid levels to reduce the occurrence and development of further clinical signs, such as metabolic disorders in women with PCOS. This work was supported by: the National Natural Science Foundation of China (No. 82371647, No. 82071607, and No. 32100691); LiaoNing Revitalization Talents Program (No. XLYC1907071); Fok Ying Tung Education Foundation (No. 151039); and Outstanding Scientific Fund of Shengjing Hospital (No. 202003). No competing interests were declared. N/A. Show less
no PDF DOI: 10.1093/humrep/deae219
APOB
Hongying Cui, Xiaoliang Guo, Fang Li · 2024 · Alternative therapies in health and medicine · added 2026-04-24
To evaluate the impact of differential emergency treatment measures on the prognosis of patients with ACS. 76 patients with ACS treated in the emergency department of our hospital from January 2017 to Show more
To evaluate the impact of differential emergency treatment measures on the prognosis of patients with ACS. 76 patients with ACS treated in the emergency department of our hospital from January 2017 to September 2021 were selected as the research objects. According to their main symptoms, general signs, and various examination results when arriving at the hospital, differential emergency treatment measures were implemented, so as to ensure the curative effect. After comprehensive emergency treatment, the venous blood test indicators of patients, including creatinine (CR), uric acid (UA), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), lipoprotein A (LPA), Apolipoprotein AI (ApoAI), Apolipoprotein B (ApoB), Potassium ion (K+), glucose (GLU), Cardiac troponin I (cTn) returned to normal. In addition, the proportion of patients without cardiogenic shock, ventricular fibrillation, respiratory and cardiac arrest, cerebral infarction, cerebral hemorrhage, arrhythmia, heart rupture, and other adverse reactions are as high as 92% (70/76). For patients with ACS, it is necessary to take correct emergency rescue and treatment measures immediately, especially to actively implement the percutaneous coronary intervention (PCI) method, so as to give full play to the safety and effectiveness of emergency treatment and curb the possibility of patient death as much as possible. Show less
no PDF
APOB
Yuxin He, Yangguang Shao, Zhihui Zhou +7 more · 2024 · Cell death & disease · Nature · added 2026-04-24
Colorectal carcinogenesis and progression are associated with aberrant alternative splicing, yet its molecular mechanisms remain largely unexplored. Here, we find that Microrchidia family CW-type zinc Show more
Colorectal carcinogenesis and progression are associated with aberrant alternative splicing, yet its molecular mechanisms remain largely unexplored. Here, we find that Microrchidia family CW-type zinc finger 2 (MORC2) binds to RRM1 domain of RNA binding motif protein 39 (RBM39), and RBM39 interacts with site 1 of pre-CDK5RAP2 exon 32 via its UHM domain, resulting in a splicing switch of cyclin-dependent kinase 5 regulatory subunit associated protein 2 (CDK5RAP2) L to CDK5RAP2 S. CDK5RAP2 S promotes invasion of colorectal cancer cells in vitro and metastasis in vivo. Mechanistically, CDK5RAP2 S specifically recruits the PHD finger protein 8 to promote Slug transcription by removing repressive histone marks at the Slug promoter. Moreover, CDK5RAP2 S, but not CDK5RAP2 L, is essential for the promotion of epithelial-mesenchymal transition induced by MORC2 or RBM39. Importantly, high protein levels of MORC2, RBM39 and Slug are strongly associated with metastasis and poor clinical outcomes of colorectal cancer patients. Taken together, our findings uncover a novel mechanism by which MORC2 promotes colorectal cancer metastasis, through RBM39-mediated pre-CDK5RAP2 alternative splicing and highlight the MORC2/RBM39/CDK5RAP2 axis as a potential therapeutic target for colorectal cancer. Show less
no PDF DOI: 10.1038/s41419-024-06908-y
SNAI1
Q Li, Z Chen, Y Zhang +7 more · 2024 · Hong Kong medical journal = Xianggang yi xue za zhi · added 2026-04-24
The coronavirus disease 2019 (COVID-19) pandemic has caused extensive disruption of public health worldwide. There were reports of COVID-19 patients having multiple complications. This study investiga Show more
The coronavirus disease 2019 (COVID-19) pandemic has caused extensive disruption of public health worldwide. There were reports of COVID-19 patients having multiple complications. This study investigated COVID-19 from a genetic perspective. We conducted RNA sequencing (RNA-Seq) analysis of respiratory tract samples from 24 patients with COVID-19. Eight patients receiving mechanical ventilation or extracorporeal membrane oxygenation were regarded as severe cases; the remaining 16 patients were regarded as non-severe cases. After quality control, statistical analyses were performed by logistic regression and the Kolmogorov-Smirnov test to identify genes associated with disease severity. Six genes were associated with COVID-19 severity in both statistical tests, namely RNA sequencing analysis showed that severe acute respiratory syndrome coronavirus 2 infection is associated with the overexpression of genes involved in nervous system disorders. Show less
no PDF DOI: 10.12809/hkmj2210178
BACE1