👤 Dujuan 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, 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, Ji-Cheng 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 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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, 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articles
Matthew Traylor, Elodie Persyn, Liisa Tomppo +43 more · 2021 · The Lancet. Neurology · Elsevier · added 2026-04-24
The genetic basis of lacunar stroke is poorly understood, with a single locus on 16q24 identified to date. We sought to identify novel associations and provide mechanistic insights into the disease. W Show more
The genetic basis of lacunar stroke is poorly understood, with a single locus on 16q24 identified to date. We sought to identify novel associations and provide mechanistic insights into the disease. We did a pooled analysis of data from newly recruited patients with an MRI-confirmed diagnosis of lacunar stroke and existing genome-wide association studies (GWAS). Patients were recruited from hospitals in the UK as part of the UK DNA Lacunar Stroke studies 1 and 2 and from collaborators within the International Stroke Genetics Consortium. Cases and controls were stratified by ancestry and two meta-analyses were done: a European ancestry analysis, and a transethnic analysis that included all ancestry groups. We also did a multi-trait analysis of GWAS, in a joint analysis with a study of cerebral white matter hyperintensities (an aetiologically related radiological trait), to find additional genetic associations. We did a transcriptome-wide association study (TWAS) to detect genes for which expression is associated with lacunar stroke; identified significantly enriched pathways using multi-marker analysis of genomic annotation; and evaluated cardiovascular risk factors causally associated with the disease using mendelian randomisation. Our meta-analysis comprised studies from Europe, the USA, and Australia, including 7338 cases and 254 798 controls, of which 2987 cases (matched with 29 540 controls) were confirmed using MRI. Five loci (ICA1L-WDR12-CARF-NBEAL1, ULK4, SPI1-SLC39A13-PSMC3-RAPSN, ZCCHC14, ZBTB14-EPB41L3) were found to be associated with lacunar stroke in the European or transethnic meta-analyses. A further seven loci (SLC25A44-PMF1-BGLAP, LOX-ZNF474-LOC100505841, FOXF2-FOXQ1, VTA1-GPR126, SH3PXD2A, HTRA1-ARMS2, COL4A2) were found to be associated in the multi-trait analysis with cerebral white matter hyperintensities (n=42 310). Two of the identified loci contain genes (COL4A2 and HTRA1) that are involved in monogenic lacunar stroke. The TWAS identified associations between the expression of six genes (SCL25A44, ULK4, CARF, FAM117B, ICA1L, NBEAL1) and lacunar stroke. Pathway analyses implicated disruption of the extracellular matrix, phosphatidylinositol 5 phosphate binding, and roundabout binding (false discovery rate <0·05). Mendelian randomisation analyses identified positive associations of elevated blood pressure, history of smoking, and type 2 diabetes with lacunar stroke. Lacunar stroke has a substantial heritable component, with 12 loci now identified that could represent future treatment targets. These loci provide insights into lacunar stroke pathogenesis, highlighting disruption of the vascular extracellular matrix (COL4A2, LOX, SH3PXD2A, GPR126, HTRA1), pericyte differentiation (FOXF2, GPR126), TGF-β signalling (HTRA1), and myelination (ULK4, GPR126) in disease risk. British Heart Foundation. Show less
no PDF DOI: 10.1016/S1474-4422(21)00031-4
RAPSN
Xiaojun Tang, Shisheng Li, Xinming Yang +7 more · 2021 · PloS one · PLOS · added 2026-04-24
To screen for obstructive sleep apnea (OSA) biomarkers, isobaric tags for relative and absolute quantitation (iTRAQ)-labeled quantitative proteomics assay was used to identify differentially expressed Show more
To screen for obstructive sleep apnea (OSA) biomarkers, isobaric tags for relative and absolute quantitation (iTRAQ)-labeled quantitative proteomics assay was used to identify differentially expressed proteins (DEPs) during chronic intermittent hypoxia (CIH). The iTRAQ technique was applied to compare DEPs in the serum of a CIH rat model and control group. Biological analysis of DEPs was performed using Gene Ontology and Kyoto Encyclopedia to explore related biological functions and signaling pathways. Enzyme-linked immunosorbent assay (ELISA) was performed to validate their expression in sera from patients with OSA and CIH rats. Twenty-three DEPs (fold change ≥1.2 or ≤0.833, p<0.05) were identified, and two DEPs (unique peptides>3 and higher coverage) were further verified by ELISA in the CIH rat model and OSA subject: apolipoprotein A-IV (APOA4, p<0.05) and Tubulin alpha-1A chain (TUBA1A, p<0.05). Both groups showed significant differences in the expression levels of DEPs between the CIH and control groups and the severe OSA and non-OSA groups. APOA4 was found to be upregulated and TUBA1A downregulated in both the sera from OSA patients and CIH rats, on comparing proteomics results with clinical results. There were two pathways that involved three DEPs, the mitogen-activated protein kinase (MAPK) signaling pathway (p<0.05) and cytokine-cytokine receptor interaction (p<0.05). APOA4 and TUBA1A may be potential novel biomarkers for CIH and OSA, and may play an important role in the development of OSA complications. Show less
📄 PDF DOI: 10.1371/journal.pone.0253943
APOA4
Ge Yang, Xianyong Li, Jingbo Liu +5 more · 2021 · Oncology reports · added 2026-04-24
The biological functions of circular RNAs in liver tumorigenesis have been well demonstrated by a number of studies. Nevertheless, to the best of our knowledge, the role and mechanism of action of hsa Show more
The biological functions of circular RNAs in liver tumorigenesis have been well demonstrated by a number of studies. Nevertheless, to the best of our knowledge, the role and mechanism of action of hsa_circ₀₀₀₈₅₃₇ (circ₀₀₀₈₅₃₇₎ in liver cancer pathogenesis remain undetermined. In the present study, circ₀₀₀₈₅₃₇ expression was associated with the GLI3 gene and was markedly increased in liver cancer tissue specimens and cells. High expression levels of circ₀₀₀₈₅₃₇ exhibited a poor prognosis. In addition, circ₀₀₀₈₅₃₇ overexpression resulted in an increased proliferation, migration and invasion of liver cancer cells, whereas circ₀₀₀₈₅₃₇ knockdown exhibited opposite effects. circ₀₀₀₈₅₃₇ acted as a sponge of microRNA‑153‑3p (miR‑153‑3p), and a negative correlation was observed between circ₀₀₀₈₅₃₇ and miR‑153‑3p expression in liver cancer. Transfection with miR‑153‑3p further abolished the effects of circ₀₀₀₈₅₃₇ on the malignant behavior of liver cancer cells. Furthermore, circ₀₀₀₈₅₃₇ indirectly affected the expression levels of pro‑survival protein myeloid cell leukemia 1 (MCL1) and snail family zinc finger 1 (Snail1) via miR‑153‑3p in liver cancer cells. In conclusion, the data indicated that circ₀₀₀₈₅₃₇ facilitated liver carcinogenesis by indirectly regulating miR‑153‑3p and leading to the release of MCL1 and Snail1. Show less
no PDF DOI: 10.3892/or.2021.7941
SNAI1
Yuanbin Chen, Ting Xu, Fei Xie +8 more · 2021 · Oncology reports · added 2026-04-24
The prognosis‑associated genes of urinary bladder cancer have been systematically investigated in the Pathology Atlas project based on The Cancer Genome Atlas data. However, the biological functions o Show more
The prognosis‑associated genes of urinary bladder cancer have been systematically investigated in the Pathology Atlas project based on The Cancer Genome Atlas data. However, the biological functions of most genes in bladder cancer remain unknown. The present study investigated the biological function of 12 of the most significant survival‑associated genes (ABRACL, MITD1, ZNF524, EMP1, HSPB6, CXorf38, TRIM38, ZNF182, ZNF195, SPRN, PTPN6 and LIPT1) in urothelial cancer reported by the Pathology Atlas project, with respect to cell proliferation and migration. In vitro, proliferation and migration analyses of T24 cells were performed following the transfection of the 12 prognostic genes. The results were validated with a small interfering (si)RNA library. Immunohistochemistry (IHC) analysis of clinical samples was performed to determine the association between gene expression and tumor metastasis. Furthermore, RNA sequencing was used to investigate the downstream signals. Among the 12 prognostic genes, MIT‑domain containing protein 1 (MITD1) transfection was demonstrated to inhibit T24 cell migration to a certain degree. Experiments performed with a 7‑gene siRNA library demonstrated that MITD1 knockdown markedly upregulated cell migratory abilities. Mechanistically, the influence of MITD1 on cell signal transduction was assessed via RNA sequencing. Cell migration‑associated genes, including KISS1, SPANXB1, SPINT1, PIWIL2, SNAI1, APLN and CTHRC1 were dysregulated. IHC analysis demonstrated that MITD1 protein expression was notably lower in metastatic lymph nodes compared with the primary tumors. Taken together, the results of the present study suggest that the prognostic gene, MITD1 may serve as a migration inhibitor, and be developed as a potential therapeutic target for improving the prognosis of bladder cancer. Show less
no PDF DOI: 10.3892/or.2020.7853
SNAI1
Tengfei Yuan, Yan Li · 2021 · The Journal of steroid biochemistry and molecular biology · Elsevier · added 2026-04-24
Previous studies have demonstrated that steroids were associated with gestational diabetes mellitus (GDM). However, results from different studies remained inconsistent, and only a limited range of st Show more
Previous studies have demonstrated that steroids were associated with gestational diabetes mellitus (GDM). However, results from different studies remained inconsistent, and only a limited range of steroids were investigated in these studies. Therefore, we aimed to analyze comprehensive steroid profiling in Chinese women with GDM during third-trimester pregnancy. In 97 Chinese pregnant women, we measured steroid profile using a LC-MS/MS method, and calculated product-to-precursor ratios in metabolic pathways of steroids. Then sixteen genetic variants of genes encoding steroidogenic enzymes were genotyped by MassARRAY system. There were significant differences (P < 0.05) and obvious changes (fold change <0.67 or>1.5) in steroids (testosterone, estriol, pregnenolone and dehydroepiandrosterone) and product-to-precursor ratios (E2/T and T/AD) between GDM and control groups. After adjusting for maternal age, the TT genotype and T allele of CYP19A1 rs10046 were associated with an increased risk of GDM. And the CC genotype and C allele of HSD17B3 rs2257157 were also associated with an increased risk of GDM. Besides, pregnant women carrying TT genotype of CYP19A1 rs10046 and CC genotype of HSD17B3 rs2257157 had a lower E2/T ratio and higher T/AD ratio respectively comparing with those carrying other genotypes. In conclusion, our study suggested that testosterone, estriol, pregnenolone and dehydroepiandrosterone might be differential metabolites for gestational diabetes mellitus. The genetic variants rs10046 of CYP19A1 and rs2257157 of HSD17B3 could predispose to GDM in Chinese women. Show less
no PDF DOI: 10.1016/j.jsbmb.2021.105999
HSD17B12
Taiyu Shen, Feng Xu, Zhiyuan Fang +14 more · 2021 · Journal of dairy science · added 2026-04-24
Severe negative energy balance around parturition is an important contributor to ketosis, a metabolic disorder that occurs most frequently in the peripartal period. Autophagy and mitophagy are importa Show more
Severe negative energy balance around parturition is an important contributor to ketosis, a metabolic disorder that occurs most frequently in the peripartal period. Autophagy and mitophagy are important processes responsible for breaking down useless or toxic cellular material, and in particular damaged mitochondria. However, the role of autophagy and mitophagy during the occurrence and development of ketosis is unclear. The objective of this study was to investigate autophagy and mitophagy in the livers of cows with subclinical ketosis (SCK) and clinical ketosis (CK). We assessed autophagy by measuring the protein abundance of microtubule-associated protein 1 light chain 3-II (LC3-II; encoded by MAP1LC3) and sequestosome-1 (p62, encoded by SQSTM1), as well as the mRNA abundance of autophagy-related genes 5 (ATG5), 7 (ATG7), and 12 (ATG12), beclin1 (BECN1), and phosphatidylinositol 3-kinase catalytic subunit type 3 (PIK3C3). Mitophagy was evaluated by measuring the protein abundance of the mitophagy upstream regulators PTEN-induced putative kinase 1 (PINK1) and Parkin. Liver and blood samples were collected from healthy cows [n = 15; blood β-hydroxybutyrate (BHB) concentration <1.2 mM], cows with SCK (n = 15; blood BHB concentration 1.2 to 3.0 mM) and cows with CK (n = 15; blood BHB concentration >3.0 mM with clinical signs) with similar lactation numbers (median = 3, range = 2 to 4) and days in milk (median = 6, range = 3 to 9). The serum activity of aspartate aminotransferase and alanine aminotransferase was greater in cows with CK than in healthy cows. Levels of oxidative stress biomarkers malondialdehyde and hydrogen peroxide were also higher in liver tissue from ketotic cows (SCK and CK) than from healthy cows. Compared with cows with CK and healthy cows, the hepatic mRNA abundance of MAP1LC3, SQSTM1, ATG5, ATG7, ATG12, and PIK3C3 was upregulated in cows with SCK. Compared with healthy cows, cows with SCK had a lower abundance of p62 and a greater abundance of LC3-II, but levels of both were higher in cows with CK. The mRNA abundance of ATG12 was lower in cows with CK than in healthy cows. Furthermore, the hepatic protein abundance of PINK1 and Parkin was greater in cows with SCK and slightly lower in cows with CK than in healthy cows. These data demonstrated differences in the hepatic activities of autophagy and mitophagy in cows with SCK compared with cows with CK. Although the precise mechanisms for these differences could not be discerned, autophagy and mitophagy seem to be involved in ketosis. Show less
no PDF DOI: 10.3168/jds.2020-19150
PIK3C3
Xiaoying Li, Yang Li, Xianqiang Du +5 more · 2021 · International journal of biological sciences · added 2026-04-24
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. TNBC is enriched with breast cancer stem cells (BCSCs), which are responsible for cancer initiation, cancer progre Show more
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. TNBC is enriched with breast cancer stem cells (BCSCs), which are responsible for cancer initiation, cancer progression and worse prognosis. Our previous study found that HES1 was overexpressed and promoted invasion in TNBC. However, the role of HES1 in modulating BCSC stemness of TNBC remains unclear. Here, we found that HES1 upregulates Slug both in transcriptional level and in protein level. HES1 also has a positive correlation with Slug expression in 150 TNBC patient samples. TNBC patients with high HES1 and Slug levels show worse prognosis in both progression-free survival and overall survival analyses. Survival analyses indicate that the effects of HES1 on survival prognosis may depend on Slug. Furthermore, we reveal that HES1 is a novel transcriptional activator for Slug through acting directly on its promoter. Meanwhile, HES1 knockdown reduces BCSC self-renewal, BCSC population, and cancer cell proliferation in TNBC, whereas overexpression of Slug restores the oncogenic function of HES1, both Show less
no PDF DOI: 10.7150/ijbs.53477
SNAI1
Jiaojiao Zhu, Cuizhe Wang, Xueting Zhang +9 more · 2021 · Journal of diabetes investigation · Blackwell Publishing · added 2026-04-24
Microribonucleic acid-155 (microRNA155) and microRNA29 are reported to inhibit glucose metabolism in some cell and animal models, but no evidence from susceptible populations that examines the relatio Show more
Microribonucleic acid-155 (microRNA155) and microRNA29 are reported to inhibit glucose metabolism in some cell and animal models, but no evidence from susceptible populations that examines the relationship between microRNA155 or microRNA29 and type 2 diabetes mellitus currently exists. Furthermore, target genes regulated by microRNA155 and microRNA29 that affect glucose and lipid metabolism remain unknown. Human participants were divided into normal weight (n = 72), obesity (n = 120) and type 2 diabetes (n = 59) groups. The contents of microRNA155 and microRNA29 abundance in serum were measured, and candidate genes potentially related to glucose and lipid metabolism targeted by either microRNA155 or microRNA29 were screened. Overexpression of microRNA155 and microRNA29 in HepG2 cells was used to verify candidate gene expression, and measure the effects on glucose and lipid metabolism. Serum levels of microRNA155 and microRNA29 show a significant increase in individuals with obesity and type 2 diabetes compared with normal weight individuals. Identified target genes for microRNA155 were MAPK14, MAP3K10, DUSP14 and PRKAR2B. Identified target genes for microRNA29 were PEX11A and FADS1. Overexpression of microRNA155 or microRNA29 in HepG2 cells was found to downregulate the expression of identified target genes, and result in inhibition of triglyceride synthesis and glucose incorporation. MicroRNA155 and microRNA29 were significantly higher in type 2 diabetes patients compared with the control patients, their levels were also positively correlated with fasting plasma glucose levels, and over-expression of microRNA155 or microRNA29 were found to downregulate glucose and lipid metabolism target genes, and reduce lipid synthesis and glucose incorporation in HepG2 cells. Show less
📄 PDF DOI: 10.1111/jdi.13334
FADS1
Qi Yang, Na Pu, Xiao-Yao Li +12 more · 2021 · Frontiers in genetics · Frontiers · added 2026-04-24
The etiology of hypertriglyceridemia (HTG) and acute pancreatitis (AP) is complex. Herein, we dissected the underlying etiology in a patient with HTG and AP. The patient had a 20-year history of heavy Show more
The etiology of hypertriglyceridemia (HTG) and acute pancreatitis (AP) is complex. Herein, we dissected the underlying etiology in a patient with HTG and AP. The patient had a 20-year history of heavy alcohol consumption and an 8-year history of mild HTG. He was hospitalized for alcohol-triggered AP, with a plasma triglyceride (TG) level up to 21.4 mmol/L. A temporary rise in post-heparin LPL concentration (1.5-2.5 times of controls) was noted during the early days of AP whilst LPL activity was consistently low (50∼70% of controls). His TG level rapidly decreased to normal in response to treatment, and remained normal to borderline high during a ∼3-year follow-up period during which he had abstained completely from alcohol. Sequencing of the five primary HTG genes (i.e., Show less
📄 PDF DOI: 10.3389/fgene.2021.640859
APOA5
Yao Li, Yanhu Shi, Yaoli He +2 more · 2021 · Bioengineered · Taylor & Francis · added 2026-04-24
Myocardial hypertrophy is a pathological thickening of the myocardium, leading to various ailments, such as myocardial infarction and heart failure. RBM38 is critical in modulating mRNA translation fo Show more
Myocardial hypertrophy is a pathological thickening of the myocardium, leading to various ailments, such as myocardial infarction and heart failure. RBM38 is critical in modulating mRNA translation for multiple protective activities such as p53 tumor repressor and p21 kinase cell cycle inhibitors. Liver X receptors (LXR-α) agonists reduce cellular hypertrophy initiated by various hypertrophic stimuli as lipopolysaccharides and Ang II. This research investigates the possible cooperation between RBM38 and LXR-α and mechanisms in modulating myocardial hypertrophy. H9C2 cells were treated with PE, TNF-α, and AngII to induce myocardial hypertrophy. RBM38 and LXR- α were overexpressed or silenced in H9C2 cells, and hypertrophy markers (ANF and Myh7) were determined with Western blot and RT-qPCR. Binding assays were done through RNA immunoprecipitation. H&E and Rhodamine-labeled phalloidin staining assays were used to assess the relative cell surface change. The results demonstrated RBM38 downregulation in in vitro models of myocardial hypertrophy. Modulation of RBM38 expression also exerted inverse effects on myocardial hypertrophy markers. Further observations also showed that LXR-α expression regulates the myocardial hypertrophy markers in H9C2 cells and RBM38 binds with LXR-α mRNA, consequently inhibiting LXR-α expression. Finally, overexpression of RBM38 rescues Angiotensin II-induced myocardial hypertrophy by regulating LXR-α dependent lipogenesis pathway. In conclusion, RBM38 Overexpression rescues Angiotensin II-induced myocardial hypertrophy by regulating LXR-α dependent lipogenesis pathway. Show less
no PDF DOI: 10.1080/21655979.2021.1977552
NR1H3
Joyce Lübbers, Rui-Jún Eveline Li, Friederike S Gorki +8 more · 2021 · Immunotherapy advances · Oxford University Press · added 2026-04-24
Dendritic cells (DCs) are key in the initiation of the adaptive T cell responses to tailor adequate immunity that corresponds to the type of pathogen encountered. Oppositely, DCs control the resolutio Show more
Dendritic cells (DCs) are key in the initiation of the adaptive T cell responses to tailor adequate immunity that corresponds to the type of pathogen encountered. Oppositely, DCs control the resolution phase of inflammation and are able to induce tolerance after receiving anti-inflammatory cytokines or upon encounter of self-associated molecular patterns, such as α2-3 linked sialic acid (α2-3sia). We here investigated whether α2-3sia, that bind immune inhibitory Siglec receptors, would alter signaling and reprogramming of LPS-stimulated human monocyte-derived DCs (moDCs). Transcriptomic analysis of moDCs stimulated with α2-3sia-conjugated dendrimers revealed differentially expressed genes related to metabolic pathways, cytokines, and T cell differentiation. An increase in genes involved in ATPase regulator activity, oxidoreductase activity, and glycogen metabolic processes was detected. Metabolic extracellular flux analysis confirmed a more energetic moDC phenotype upon α2-3sia binding as evidenced by an increase in both glycolysis and mitochondrial oxidative phosphorylation. T In conclusion, we demonstrate that α2-3sia binding to moDCs, phosphorylates Siglec-9, alters metabolic pathways, cytokine signaling, and T cell differentiation processes in moDCs and promotes regulatory T cells. The sialic acid-Siglec axis on DCs is therefore, a novel target to induce tolerance and to explore for immunotherapeutic interventions aimed to restore inflammatory processes. Show less
📄 PDF DOI: 10.1093/immadv/ltab012
IL27
Jing-Hua Liu, Wen-Ting Li, Yue Yang +3 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Chemoresistance is a severe clinical challenge in breast cancer. Hypoxia and cancer stem cells (CSCs) contribute to the paclitaxel (PTX) resistance, but the molecular mechanisms are still elusive. Mic Show more
Chemoresistance is a severe clinical challenge in breast cancer. Hypoxia and cancer stem cells (CSCs) contribute to the paclitaxel (PTX) resistance, but the molecular mechanisms are still elusive. MicorRNAs (miRNA) have been considered a promising therapeutic strategy in various cancers. Here, we identified the crucial function of miR-526b-3p in regulating PTX resistance and CSC properties. Our data demonstrated that miR-526b-3p mimic repressed the cell viability of breast cancer cells. The counts of Edu-positive cells were reduced by miR-526b-3p in breast cancer cells. Meanwhile, the apoptosis of breast cancer cells was induced by miR-526b-3p. Tumorigenicity analysis in the nude mice confirmed that miR-526b-3p attenuated the breast cancer cell growth Show less
📄 PDF DOI: 10.3389/fonc.2021.696269
HEY2
Xiaobo Lu, Kainan Li, JianJun Yang · 2021 · Neoplasma · added 2026-04-24
The study aimed to investigate the roles of potassium voltage-gated channel subfamily D member 2 (KCND2) in lung adenocarcinoma (AD). RNA sequencing data from The Cancer Genome Atlas (TCGA) database s Show more
The study aimed to investigate the roles of potassium voltage-gated channel subfamily D member 2 (KCND2) in lung adenocarcinoma (AD). RNA sequencing data from The Cancer Genome Atlas (TCGA) database showed that the expression of KCND2 was elevated in lung AD samples compared to the normal samples, and its upregulation was significantly associated with the unfavorable clinic outcome of lung AD patients. Cell proliferation and transwell assays revealed that the growth, migration, and invasion of lung AD cells, which was crucial to cancer aggressiveness, were markedly inhibited after the depletion of KCND2. Importantly, we demonstrated that the depletion of KCND2 suppressed the biological behaviors of lung AD cells via restraining the expression of four tumor-related genes including PCNA, CDH2, SNAI1, and MMP2. Overall, KCND2 promotes the aggressiveness of lung AD and can be considered as a potential predictor of the prognosis of lung AD patients. Downregulation of KCND2 may contribute to the therapy of lung AD. Show less
no PDF DOI: 10.4149/neo_2020_200629N667
SNAI1
Yuanping Zhang, Jiliang Qiu, Dinglan Zuo +6 more · 2021 · FEBS open bio · Wiley · added 2026-04-24
The therapeutic outcome of hepatocellular carcinoma (HCC) remains unsatisfactory because of poor response and acquired drug resistance. To better elucidate the molecular mechanisms of HCC, here we use Show more
The therapeutic outcome of hepatocellular carcinoma (HCC) remains unsatisfactory because of poor response and acquired drug resistance. To better elucidate the molecular mechanisms of HCC, here we used three Gene Expression Omnibus datasets to identify potential oncogenes, and thereby identified small nuclear ribonucleoprotein polypeptide C (SNRPC). We report that SNRPC is highly up-regulated in HCC tissues as determined using immunohistochemistry assays of samples from a cohort of 224 patients with HCC, and overexpression of SNRPC was correlated with multiple tumors, advanced stage, and poor outcome. Kaplan-Meier analysis confirmed that patients with high SNRPC expression exhibited shorter survival in four independent HCC cohorts (all P < 0.05). Furthermore, SNRPC mutations are significantly more frequent in HCC tissues than in normal liver tissues and are an early event in the development of HCC. Functional network analysis suggested that SNRPC is linked to the regulation of ribosome, spliceosome, and proteasome signaling. Subsequently, gain- and loss-of-function assays showed that SNRPC promotes the motility and epithelial-mesenchymal transition of HCC cells in vitro. SNRPC expression was negatively correlated with the infiltration of CD4 Show less
no PDF DOI: 10.1002/2211-5463.13175
SNRPC
Chuanhong Zhong, Bei Tao, Feilong Yang +7 more · 2021 · Clinical and translational medicine · Wiley · added 2026-04-24
Glioma is regarded as an aggressive lethal primary brain tumor. Jumonji domain containing 1C (JMJD1C) is a H3K9 demethylase which participates in the progression of various tumors, but its specific fu Show more
Glioma is regarded as an aggressive lethal primary brain tumor. Jumonji domain containing 1C (JMJD1C) is a H3K9 demethylase which participates in the progression of various tumors, but its specific function and underlying mechanism in glioma development remain undefined, which is the purpose of our work. We initially assessed JMJD1C expression in glioma tissues and cells using the assays of RT-qPCR and immunohistochemistry. Meanwhile, the H3K9 level at the microRNA (miR)-302a promoter region was measured by chromatin immunoprecipitation assay, while luciferase-based reporter assay was performed for validation of the binding affinity between miR-302a and methyltransferase-like 3 (METTL3). The effect of METTL3 on suppressor of cytokine signaling 2 (SOCS2) was subsequently analyzed by MeRIP-RT-qPCR. Finally, a xenograft tumor model was established in nude mice, followed by measurement of tumor-associated macrophages using flow cytometry. JMJD1C was poorly expressed in glioma tissues. Furthermore, JMJD1C increased miR-302a expression through promoting H3K9me1 demethylation at the miR-302a promoter region. miR-302a was identified to target METTL3, which could inhibit SOCS2 expression via m6A modification. JMJD1C promoted M1 macrophage polarization and suppressed the growth of glioma xenografts through the miR-302a/METTL3/SOCS2 axis both in vivo and in vitro. In conclusion, JMJD1C could enhance M1 macrophage polarization to inhibit the onset of glioma, bringing a new insight into the contribution of JMJD1C to the pathobiology of glioma, with possible implications for targeted therapeutic method. Show less
📄 PDF DOI: 10.1002/ctm2.424
JMJD1C
Sally Yepes, Nirav N Shah, Jiwei Bai +20 more · 2021 · Cancers · MDPI · added 2026-04-24
Chordoma is a rare bone cancer with an unknown etiology. TBXT is the only chordoma susceptibility gene identified to date; germline single nucleotide variants and copy number variants in TBXT have bee Show more
Chordoma is a rare bone cancer with an unknown etiology. TBXT is the only chordoma susceptibility gene identified to date; germline single nucleotide variants and copy number variants in TBXT have been associated with chordoma susceptibility in familial and sporadic chordoma. However, the genetic susceptibility of chordoma remains largely unknown. In this study, we investigated rare germline genetic variants in genes involved in TBXT/chordoma-related signaling pathways and other biological processes in chordoma patients from North America and China. We identified variants that were very rare in general population and internal control datasets and showed evidence for pathogenicity in 265 genes in a whole exome sequencing (WES) dataset of 138 chordoma patients of European ancestry and in a whole genome sequencing (WGS) dataset of 80 Chinese patients with skull base chordoma. Rare and likely pathogenic variants were identified in 32 of 138 European ancestry patients (23%), including genes that are part of notochord development, PI3K/AKT/mTOR, Sonic Hedgehog, SWI/SNF complex and mesoderm development pathways. Rare pathogenic variants in COL2A1, EXT1, PDK1, LRP2, TBXT and TSC2, among others, were also observed in Chinese patients. We identified several rare loss-of-function and predicted deleterious missense variants in germline DNA from patients with chordoma, which may influence chordoma predisposition and reflect a complex susceptibility, warranting further investigation in large studies. Show less
📄 PDF DOI: 10.3390/cancers13112704
EXT1
Yuqing Lei, Xueguang Zhang, Qingjia Xu +10 more · 2021 · Developmental cell · Elsevier · added 2026-04-24
How autophagy initiation is regulated and what the functional significance of this regulation is are unknown. Here, we characterized the role of yeast Vac8 in autophagy initiation through recruitment Show more
How autophagy initiation is regulated and what the functional significance of this regulation is are unknown. Here, we characterized the role of yeast Vac8 in autophagy initiation through recruitment of PIK3C3-C1 to the phagophore assembly site (PAS). This recruitment is dependent on the palmitoylation of Vac8 and on its middle ARM domains for binding PIK3C3-C1. Vac8-mediated anchoring of PIK3C3-C1 promotes PtdIns3P generation at the PAS and recruitment of the PtdIns3P binding protein Atg18-Atg2. The mouse homolog of Vac8, ARMC3, is conserved and functions in autophagy in mouse testes. Mice lacking ARMC3 have normal viability but show complete male infertility. Proteomic analysis indicated that the autophagic degradation of cytosolic ribosomes was blocked in ARMC3-deficient spermatids, which caused low energy levels of mitochondria and motionless flagella. These studies uncovered a function of Vac8/ARMC3 in PtdIns3-kinase anchoring at the PAS and its physical significance in mammalian spermatogenesis with a germ tissue-specific autophagic function. Show less
no PDF DOI: 10.1016/j.devcel.2021.07.015
PIK3C3
Yusheng Liang, Nana Ma, Danielle N Coleman +7 more · 2021 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The objective was to perform a proof-of-principle study to evaluate the effects of methionine (Met) and arginine (Arg) supply on protein abundance of amino acid, insulin signaling, and glutathione met Show more
The objective was to perform a proof-of-principle study to evaluate the effects of methionine (Met) and arginine (Arg) supply on protein abundance of amino acid, insulin signaling, and glutathione metabolism-related proteins in subcutaneous adipose tissue (SAT) explants under ceramide (Ce) challenge. SAT from four lactating Holstein cows was incubated with one of the following media: ideal profile of amino acid as the control (IPAA; Lys:Met 2.9:1, Lys:Arg 2:1), increased Met (incMet; Lys:Met 2.5:1), increased Arg (incArg; Lys:Arg 1:1), or incMet plus incArg (Lys:Met 2.5:1 Lys:Arg 1:1) with or without 100 μM exogenous cell-permeable Ce ( Show less
📄 PDF DOI: 10.3390/ani11072114
BCKDK
Xinyao Li, Lei Wang, Liusong Wang +2 more · 2021 · International journal of general medicine · added 2026-04-24
Hepatocellular carcinoma (HCC) is the main histological subtype of liver cancer, which has the characteristics of poor prognosis and high fatality rate. Single-cell sequencing can provide quantitative Show more
Hepatocellular carcinoma (HCC) is the main histological subtype of liver cancer, which has the characteristics of poor prognosis and high fatality rate. Single-cell sequencing can provide quantitative and unbiased characterization of cell heterogeneity by analyzing the molecular profile of the whole genome of thousands of single cells. Thus, the purpose of this study was to identify novel prognostic markers for HCC based on single-cell sequencing data. Single-cell sequencing of 21 HCC samples and 256 normal liver tissue samples in the GSE124395 dataset was collected from the Gene Expression Omnibus (GEO) database. The quality-controlled cells were grouped by unsupervised cluster analysis and identified the marker genes of each cell cluster. Hereafter, these cell clusters were annotated by singleR and CellMarker according to the expression patterns of the marker genes. Pseudotime analysis was performed to construct the trajectory of cell evolution and to define hub genes in the evolution process. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to explore the potential regulatory mechanism of hub genes in HCC. Next, the differential expression of hub genes and the correlation of the expression of these genes with patients' survival and diagnosis were investigated in The Cancer Genome Atlas (TCGA) database. A total of 9 clusters corresponding to 9 cell types, including NKT cells, hepatocytes, endothelial cells, Kupffer cells, EPCAM In conclusion, ALDOB, APOC3, APOH, CYP2E1, CYP3A4, GC, HRG, LINC01554, PDK4, and TXN may serve as hub genes in the diagnosis and prognosis for HCC. Show less
📄 PDF DOI: 10.2147/IJGM.S338090
APOC3
Yin-Hong Cao, Song-Song Xu, Min Shen +39 more · 2021 · Molecular biology and evolution · Oxford University Press · added 2026-04-24
How animals, particularly livestock, adapt to various climates and environments over short evolutionary time is of fundamental biological interest. Further, understanding the genetic mechanisms of ada Show more
How animals, particularly livestock, adapt to various climates and environments over short evolutionary time is of fundamental biological interest. Further, understanding the genetic mechanisms of adaptation in indigenous livestock populations is important for designing appropriate breeding programs to cope with the impacts of changing climate. Here, we conducted a comprehensive genomic analysis of diversity, interspecies introgression, and climate-mediated selective signatures in a global sample of sheep and their wild relatives. By examining 600K and 50K genome-wide single nucleotide polymorphism data from 3,447 samples representing 111 domestic sheep populations and 403 samples from all their seven wild relatives (argali, Asiatic mouflon, European mouflon, urial, snow sheep, bighorn, and thinhorn sheep), coupled with 88 whole-genome sequences, we detected clear signals of common introgression from wild relatives into sympatric domestic populations, thereby increasing their genomic diversities. The introgressions provided beneficial genetic variants in native populations, which were significantly associated with local climatic adaptation. We observed common introgression signals of alleles in olfactory-related genes (e.g., ADCY3 and TRPV1) and the PADI gene family including in particular PADI2, which is associated with antibacterial innate immunity. Further analyses of whole-genome sequences showed that the introgressed alleles in a specific region of PADI2 (chr2: 248,302,667-248,306,614) correlate with resistance to pneumonia. We conclude that wild introgression enhanced climatic adaptation and resistance to pneumonia in sheep. This has enabled them to adapt to varying climatic and environmental conditions after domestication. Show less
📄 PDF DOI: 10.1093/molbev/msaa236
ADCY3
Minghua Li, Xia Long, Huijuan Wan +4 more · 2021 · Cell biology international · Wiley · added 2026-04-24
One hallmark of renal cell carcinoma (RCC) is metabolic reprogramming, which involves elevation of glycolysis and upregulation of lipid metabolism. However, the mechanism of metabolic reprogramming is Show more
One hallmark of renal cell carcinoma (RCC) is metabolic reprogramming, which involves elevation of glycolysis and upregulation of lipid metabolism. However, the mechanism of metabolic reprogramming is incompletely understood. Monocarboxylate transporter 1 (MCT1) promotes transport for lactate and pyruvate, which are crucial for cell metabolism. The aim of present study was to investigate the function of MCT1 on RCC development and its mechanism on metabolic reprogramming. The results showed that MCT1 messenger RNA and protein levels significantly increased in cancer tissues of ccRCC compared to normal tissue. MCT1 was further found to mainly located in the cell membrane of RCC. The knockdown of MCT1 by RNAi significantly inhibited proliferation and migration of 786-O and ACHN cells. MCT1 also induced the expressions of proliferation marker Ki-67 and invasion marker SNAI1. Moreover, we also showed that acetate treatment could upregulate the expression of MCT1, but not other MCT isoforms. On the other hand, MCT1 was involved in acetate transport and intracellular histone acetylation. In summary, this study revealed that MCT1 is abnormally high in ccRCC and promotes cancer development. The regulatory effect of MCT1 on cell proliferation and invasion maybe mediated by acetate transport. Show less
no PDF DOI: 10.1002/cbin.11571
SNAI1
Hanjing Chen, Weili Chen, Hui Li +13 more · 2021 · Advances in therapy · Springer · added 2026-04-24
Anacetrapib is a novel, powerful cholesteryl ester transfer protein (CETP) inhibitor with bidirectional lipid regulation, which was developed for dyslipidemia. The aim of this study is to evaluate the Show more
Anacetrapib is a novel, powerful cholesteryl ester transfer protein (CETP) inhibitor with bidirectional lipid regulation, which was developed for dyslipidemia. The aim of this study is to evaluate the single- and multiple-dose pharmacokinetics (PK), safety and tolerability of anacetrapib in healthy Chinese subjects and assess the PK difference between Chinese and other populations. Forty subjects were enrolled in an open-label study consisting of three panels (50 mg single dose; 100 mg single dose followed by 100 mg once-daily multiple doses for 10 days; a 200 mg single dose). Safety and tolerability were evaluated by monitoring adverse events, laboratory safety tests, ECGs, vital signs and physical examination. PK were evaluated and compared with historical data in black and white subjects. Anacetrapib was absorbed after administration of a single oral dose, with a median T The PK properties of anacetrapib in Chinese subjects are comparable to those observed in the black population and in white subjects. Single and once-daily administration of anacetrapib was generally well tolerated in healthy Chinese subjects observed in this study. chinadrugtrials.org.cn identifier number CTR20130983. Show less
no PDF DOI: 10.1007/s12325-021-01794-8
CETP
Zu-Guo Zheng, Si-Tong Zhu, Hui-Min Cheng +11 more · 2021 · Autophagy · Taylor & Francis · added 2026-04-24
SCAP (SREBF chaperone) regulates SREBFs (sterol regulatory element binding transcription factors) processing and stability, and, thus, becomes an emerging drug target to treat dyslipidemia and fatty l Show more
SCAP (SREBF chaperone) regulates SREBFs (sterol regulatory element binding transcription factors) processing and stability, and, thus, becomes an emerging drug target to treat dyslipidemia and fatty liver disease. However, the current known SCAP inhibitors, such as oxysterols, induce endoplasmic reticulum (ER) stress and NR1H3/LXRα (nuclear receptor subfamily 1 group H member 3)-SREBF1/SREBP-1 c-mediated hepatic steatosis, which severely limited the clinical application of this inhibitor. In this study, we identified a small molecule, lycorine, which binds to SCAP, which suppressed the SREBF pathway without inducing ER stress or activating NR1H3. Mechanistically, lycorine promotes SCAP lysosomal degradation in a macroautophagy/autophagy-independent pathway, a mechanism completely distinct from current SCAP inhibitors. Furthermore, we determined that SQSTM1 captured SCAP after its exit from the ER. The interaction of SCAP and SQSTM1 requires the WD40 domain of SCAP and the TB domain of SQSTM1. Interestingly, lycorine triggers the lysosome translocation of SCAP independent of autophagy. We termed this novel protein degradation pathway as the SQSTM1-mediated autophagy-independent lysosomal degradation (SMAILD) pathway. Show less
no PDF DOI: 10.1080/15548627.2020.1757955
NR1H3
Enchen Zhou, Zhuang Li, Hiroyuki Nakashima +7 more · 2021 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
[Figure: see text].
no PDF DOI: 10.1161/ATVBAHA.121.315882
CETP
Parsa Akbari, Ankit Gilani, Olukayode Sosina +59 more · 2021 · Science (New York, N.Y.) · Science · added 2026-04-24
Large-scale human exome sequencing can identify rare protein-coding variants with a large impact on complex traits such as body adiposity. We sequenced the exomes of 645,626 individuals from the Unite Show more
Large-scale human exome sequencing can identify rare protein-coding variants with a large impact on complex traits such as body adiposity. We sequenced the exomes of 645,626 individuals from the United Kingdom, the United States, and Mexico and estimated associations of rare coding variants with body mass index (BMI). We identified 16 genes with an exome-wide significant association with BMI, including those encoding five brain-expressed G protein-coupled receptors ( Show less
📄 PDF DOI: 10.1126/science.abf8683
GIPR
Yuxin Cui, Zhilei Li, Junxia Cao +5 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Lung cancer is one of the most prevalent cancers in both men and women worldwide. The nucleic acid G4 structures have been implicated in the transcriptional programmes of cancer-related genes in some Show more
Lung cancer is one of the most prevalent cancers in both men and women worldwide. The nucleic acid G4 structures have been implicated in the transcriptional programmes of cancer-related genes in some cancers such as lung cancer. However, the role of the dominant G4 resolvase DHX36 in the progression of lung cancer remains unknown. In this study, by bioinformatic analysis of public datasets (TCGA and GEO), we find DHX36 is an independent prognosis indicator in non-small-cell lung carcinoma (NSCLC) with subtype dependence. The stable lentiviral knockdown of the DHX36 results in accelerated migration and aggregation of the S-phase subpopulation in lung cancer cells. The reduction of DHX36 level de-sensitises the proliferation response of lung cancer cells to chemotherapeutic drugs such as paclitaxel with cell dependence. The knockdown of this helicase leads to promoted tumour growth, demonstrated by a 3D fluorescence spheroid lung cancer model, and the stimulation of cell colony formation as shown by single-cell cultivation. High throughput proteomic array indicates that DHX36 functions in lung cancer cells through regulating multiple signalling pathways including activation of protein activity, protein autophosphorylation, Fc-receptor signalling pathway, response to peptide hormone and stress-activated protein kinase signalling cascade. A causal transcriptomic analysis suggests that DHX36 is significantly associated with mRNA surveillance, RNA degradation, DNA replication and Myc targets. Therefore, we unveil that DHX36 presents clinical significance and plays a role in tumour suppression in lung cancer, and propose a potentially new concept for an anti-cancer therapy based on helicase-specific targeting. Show less
📄 PDF DOI: 10.3389/fonc.2021.655757
DHX36
Minghui Li, Xuhan Yang, Liya Sun +10 more · 2021 · Journal of psychiatric research · Elsevier · added 2026-04-24
Recent evidence supports an association between lipid metabolism dysfunction and the pathology of schizophrenia which has led to the search for peripheral blood-based biomarkers. The purpose of this s Show more
Recent evidence supports an association between lipid metabolism dysfunction and the pathology of schizophrenia which has led to the search for peripheral blood-based biomarkers. The purpose of this study was to investigate the proteins involved in lipid metabolism (especially apolipoprotein) and to explore their potential as biomarkers for schizophrenia. Using multiple reaction monitoring mass spectrometry (MRM-MS), we quantified 22 proteins in serum samples of 109 healthy controls (HCs) and 111 patients with schizophrenia (SCZ), who were divided into discovery and validation sets. We found serum apolipoprotein A4 (ApoA4) to be significantly decreased in SCZ patients compared to HCs (p=1.61E-05). Moreover, the serum ApoA4 level served as an effective diagnostic tool, achieving area under the receiver operating characteristic curves (AUROC) of 0.840 in the discovery set and 0.791 in the validation set. Additionally, apolipoprotein F (ApoF), angiotensinogen (AGT), and alpha1-antichymotrypsin (ACT) levels were significantly higher in patients with schizophrenia than in healthy controls. These proteins combined with ApoA4, provided higher diagnostic accuracy for schizophrenia in the discovery set (AUROC=0.901) and in the validation set (AUROC=0.879). Our results suggest that the serum level of ApoA4 is a novel potential biomarker for schizophrenia. The proteins identified in this study expand the pool of biomarker candidates for schizophrenia and may be linked to the underlying mechanism of the disease. Show less
no PDF DOI: 10.1016/j.jpsychires.2021.02.016
APOA4
Guoxu Fang, Jianhui Fan, Zongren Ding +6 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Digestive system carcinoma is one of the most devastating diseases worldwide. Lack of valid clinicopathological parameters as prognostic factors needs more accurate and effective biomarkers for high-c Show more
Digestive system carcinoma is one of the most devastating diseases worldwide. Lack of valid clinicopathological parameters as prognostic factors needs more accurate and effective biomarkers for high-confidence prognosis that guide decision-making for optimal treatment of digestive system carcinoma. The aim of the present study was to establish a novel model to improve prognosis prediction of digestive system carcinoma, with a particular interest in transcription factors (TFs). A TF-related prognosis model of digestive system carcinoma with data from TCGA database successively were processed by univariate and multivariate Cox regression analyses. Then, for evaluating the prognostic prediction value of the model, ROC curve and survival analysis were performed by external data from GEO database. Furthermore, we verified the expression of TFs expression by qPCR in digestive system carcinoma tissue. Finally, we constructed a TF clinical characteristics nomogram to furtherly predict digestive system carcinoma patient survival probability with TCGA database. By Cox regression analysis, a panel of 17 TFs (NFIC, YBX2, ZBTB47, ZNF367, CREB3L3, HEYL, FOXD1, TIGD1, SNAI1, HSF4, CENPA, ETS2, FOXM1, ETV4, MYBL2, FOXQ1, ZNF589) was identified to present with powerful predictive performance for overall survival of digestive system carcinoma patients based on TCGA database. A nomogram that integrates TFs was established, allowing efficient prediction of survival probabilities and displaying higher clinical utility. The 17-TF panel is an independent prognostic factor for digestive system carcinoma, and 17 TFs based nomogram might provide implication an effective approach for digestive system carcinoma patient management and treatment. Show less
no PDF DOI: 10.3389/fonc.2021.670129
SNAI1
Enchen Zhou, Zhuang Li, Hiroyuki Nakashima +5 more · 2021 · Pharmacological research · Elsevier · added 2026-04-24
Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition, by increasing hepatic low density lipoprotein (LDL) receptor (LDLR) levels, has emerged as a strategy to reduce atherosclerosis by low Show more
Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition, by increasing hepatic low density lipoprotein (LDL) receptor (LDLR) levels, has emerged as a strategy to reduce atherosclerosis by lowering circulating very low density lipoprotein (VLDL)-cholesterol. We hypothesized that the therapeutic effectiveness of PCSK9 inhibition can be increased by accelerating the generation of VLDL remnants, which typically have a high affinity for the LDLR. Therefore, we aimed to investigate whether accelerating lipolytic processing of VLDL by brown fat activation can further lower (V)LDL and reduce atherosclerosis on top of PCSK9 inhibition. APOE*3-Leiden.CETP mice were fed a Western-type diet and treated with the anti-PCSK9 antibody alirocumab or saline. After 2 weeks, both groups of mice were randomized to receive either the selective β3-adrenergic receptor (AR) agonist CL316,243 to activate brown fat or saline for 3 additional weeks to evaluate VLDL clearance or 12 additional weeks to analyze atherosclerosis development. β3-AR agonism and alirocumab combined decreased (V)LDL-cholesterol compared to alirocumab alone, which was explained by an accelerated plasma clearance of VLDL-cholesteryl esters that were mainly taken up by the liver. In addition, the combination promoted the transfer of VLDL-phospholipids to HDL to a higher extent than alirocumab alone, accompanied by higher plasma HDL-cholesterol levels and increased cholesterol efflux capacity. Consequently, combination treatment largely reduced atherosclerotic lesion area compared to vehicle. Together, β3-AR agonism enhances the lipoprotein-modulating effects of alirocumab to further improve dyslipidemia and non-significantly further attenuate atherosclerosis development. Our findings demonstrate that brown fat activation may enhance the therapeutic effects of PCSK9 inhibition in dyslipidemia. Show less
no PDF DOI: 10.1016/j.phrs.2021.105524
CETP
Huimin Hu, Weiling Zhang, Tian Zhi +5 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Hepatoblastoma (HB) is the most common malignant embryonic liver tumor type in children under 3 years of age. In the present study, the next generation sequencing (NGS) method was used to detect the g Show more
Hepatoblastoma (HB) is the most common malignant embryonic liver tumor type in children under 3 years of age. In the present study, the next generation sequencing (NGS) method was used to detect the genotype characteristics of HB and summarize the correlation between the common mutation genotypes noted in this disease and the clinical treatment and prognosis. The results may aid clinical prognosis and the successful application of targeted drugs. Initially, DNA was extracted from tumor tissue specimens and peripheral blood derived from 19 pediatric patients with HB. Subsequently, DNA panel and NGS methods were used to detect tumor diagnosis and the expression levels of treatment-associated genes, followed by the summary of genotype characteristics. In addition, in order to further assess the application of immunotherapy in HB, immunohistochemical detection of programmed cell death 1 ligand 1 (PDL1) was performed in combination with tumor mutation burden (TMB) and DNA mismatch repair status analysis. Furthermore, the clinical treatment effect and prognosis of the pediatric patients were statistically analyzed according to the characteristics of the genotype. Overall prognosis and prognostic analyses in different groups were performed by Kaplan-Meier and log-rank tests, respectively. Finally, expression validation and diagnostic analysis of commonly reported genes were performed in the GSE75271 dataset, which was obtained from the Gene Expression Omnibus (GEO) database. In the present study, certain mutated genes, including nuclear factor erythroid 2-related factor 2 (NFE2L2), catenin β1 (CTNNB1), MYCN, tumor protein p53, axis inhibition protein 1 (AXIN1) and adenomatous polyposis coli (APC) were associated with the pathogenesis of HB. During TMB and DNA mismatch repair status analyses, pediatric patients had a low TMB. All of them did not present with microsatellite instability. The immunohistochemical results indicated lower expression levels of PDL1 in HB. The complete remission (CR) rate of pediatric patients in the gene abnormality group was lower than that of the non-reported disease-associated gene abnormality group. The 2-year overall survival rate and disease-free survival rate of 19 pediatric patients with HB were 72.1% and 42.4%, respectively. Receiver operating characteristic (ROC) analysis demonstrated that CTNNB1, NFE2L2, AXIN1, APC, MYCN and insulin growth factor 2 (IGF2) may be potential biomarkers that could be used for the diagnosis of HB. The genotype changes in HB were more common and the CR rate of the pediatric patients with an altered genotype was lower than that of pediatric patients without an altered genotype. In addition, pediatric patients with HB exhibited lower TMB compared with adult patients. Moreover, the data indicated that Show less
📄 PDF DOI: 10.3389/fonc.2021.628531
AXIN1