👤 Shuai Xu

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Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Shengjie Xu, Yanyong Xu, Nong Xu, D-J Xu, Hongfa Xu, Shiyi Xu, Yunjian Xu, Maochang Xu, Lingyan Xu, Guoheng Xu, Zaibin Xu, Yuexuan Xu, Jinhe Xu, Yitong Xu, Miao Xu, Yaping Xu, Hongming Xu, Jiang Xu, Feng-Qin Xu, Zaihua Xu, Yaru Xu, Mingcong Xu, Yuanzhong Xu, Qiuyu Xu, Mai Xu, Biao Xu, Jingjun Xu, Shuwan Xu, Ya-Ru Xu, Zhilong Xu, Jun-Chao Xu, Shutao Xu, Jinyu Xu, TianBo Xu, Jie-Hua Xu, Peng Xu, Guo-Xing Xu, Yushan Xu, Yongsong Xu, Xin-Rong Xu, Bilin Xu, Xiang-Min Xu, Xiaolong Xu, Jinchao Xu, Han Xu, Xuting Xu, Yu Xu, Yingqianxi Xu, Yanyang Xu, Aili Xu, Weizhi Xu, Peidi Xu, Tongyang Xu, Tieshan Xu, Wen-Juan Xu, Jianping Xu, Bing Xu, Chengyun Xu, Xiaofeng Xu, Zhengang Xu, Guang-Hong Xu, Fangui Xu, Shan-Shan Xu, Song-Song Xu, Hailiang Xu, Quanzhong Xu, Mengqi Xu, Gezhi Xu, Dawei Xu, Linyan Xu, Yidan Xu, Meishu Xu, Tonghong Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Hanyuan Xu, Liang Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Jiancheng Xu, Boming Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Di-Mei Xu, Xiang-liang Xu, Yana Xu, Richard H Xu, Yanchang Xu, Danyi Xu, Lingli Xu, Xiaocheng Xu, Chengqi Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Xuan Xu, Hongle Xu, Jielin Xu, Yuping Xu, Yinli Xu, Limin Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Jingjing Xu, Weilan Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Jiachi Xu, Shang-Fu Xu, Yuejuan Xu, Zhi-Qing David Xu, Chao Xu, Yi-Xian Xu, Longfei Xu, Ziwei Xu, Mengyue Xu, Jingying Xu, Wenhui Xu, Zi-Xiang Xu, Caixia Xu, Chenjie Xu, Xiaoting Xu, Jiacheng Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Gangchun Xu, Qingqiu Xu, Yanjun Xu, Qiong Xu, Wenxuan Xu, Zifan Xu, Jiayunzhu Xu, Yifeng Xu, DongZhu Xu, Lingna Xu, Qianzhu Xu, Bocheng Xu, Qingjia Xu, Yanni Xu, Li-Yan Xu, Benhong Xu, Fang Xu, Geyang Xu, Xingsheng Xu, Zeao Xu, Anqi Xu, Mengsi Xu, Jun Xu, Qiuhong Xu, Ning'an Xu, H F Xu, Lian-Wei Xu, Danping Xu, Hua Xu, Shanshan Xu, Xiaofang Xu, Sheng-Qian Xu, Bingxin Xu, Ke Xu, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Beibei Xu, Changwu Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Laizhi Xu, Jinshu Xu, Xinyu Xu, Meiyu Xu, Bi-Yun Xu, Mingliang Xu, Bingfang Xu, Weixia Xu, Suling Xu, W W Xu, Lidan Xu, Chengkai Xu, Feng Xu, Yunhe Xu, Zesheng Xu, Li Xu, Song Xu, Yungen Xu, Yaobo Xu, Qinli Xu, Yi-Liang Xu, Tan Xu, Dong Xu, Ruiling Xu, Wanqi Xu, Ziyang Xu, Xiaohong Ruby Xu, Guangyu Xu, Xiao-Shan Xu, Wenxin Xu, Yongsheng Xu, Jingya Xu, Zhong-Hua Xu, Jiajie Xu, Dan Xu, Youjia Xu, Longsheng Xu, Mengjie Xu, Guo-Tong Xu, Ting Xu, Chunwei Xu, Tianmin Xu, Xianghong Xu, Nenggui Xu, Hongxia Xu, Meixi Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Shengyu Xu, Kelin Xu, Xiaoqin Xu, Zheng Xu, Junchang Xu, Jiaying Xu, Beisi Xu, Chunyu Xu, Zhen-Guo Xu, Haonan Xu, Tianyi Xu, Haiman Xu, Lili Xu, Yi Xu, Dongju Xu, Qihang Xu, Zihua Xu, Qikui Xu, Zhongwei Xu, Zhijie Xu, Li-Jun Xu, Qi-Qi Xu, Hanchen Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, D Xu, Ziqi Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Jianjuan Xu, Bin Xu, Zhanyu Xu, Lingjuan Xu, Wenjie Xu, Shuwen Xu, Cian Xu, Yu-Ming Xu, Qiulin Xu, Zeyu Xu, Jia Xu, Zengliang Xu, Yujie Xu, Yuting Xu, Jing-Yi Xu, Jiajia Xu, Xiqi Xu, Leiyu Xu, Shi-Na Xu, Ruonan Xu, Wenhuan Xu, Bai-Hui Xu, Jishu Xu, Xiangyu Xu, Lu-Lu Xu, Shiyun Xu, Huaxiang Xu, Lei Xu, Yuli Xu, Chan Xu, Tengfei Xu, Yong Xu, Xuejun Xu, Hang Xu, Junjie Xu, Jinjie Xu, Haoda Xu, Rui-Ming Xu, Yunxi Xu, Jinghua Xu, Ye Xu, Jiyi Xu, Mei-Jun Xu, Jianyong Xu, Yingzheng Xu, Kaiyue Xu, Yeqiu Xu, Songli Xu, Cheng-Jian Xu, Chenqi Xu, Qiaoshi Xu, Rongrong Xu, YanFeng Xu, Jin Xu, Huimian Xu, Zaikun Xu, Aixiao Xu, Yanfei Xu, Chunlin Xu, Dapeng Xu, Huiqiong Xu, Fengxia Xu, Yongmei Xu, Yubin Xu, Xiaojing Xu, Xiaoli Xu, Pu Xu, Wenming Xu, Wenjing Xu, Wenjuan Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Ming Xu, Jiean Xu, Keshu Xu, Weili Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Wen-Hao Xu, Hong-wei Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Yuzhi Xu, Fenghuang Xu, Tengxiao Xu, Zelin Xu, Xueni Xu, Jing-Ying Xu, Yichi Xu, Ruifeng Xu, Kewei Xu, Jiapeng Xu, Fang-Fang Xu, Sifan Xu, Pengli Xu, Jiaqin Xu, Xiaotao Xu, Chunming Xu, X Xu, Xinyin Xu, Gang Xu, Wei Xu, Yuzhen Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Xiaoming Xu, Yuanyuan Xu, Yimeng Xu, Shihao Xu, Zhipeng Xu, Minxuan Xu, Haowen Xu, Dilin Xu, Rui Xu, Jingzhou Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Junfei Xu, Mengjun Xu, Hui Ming Xu, Xiaolei Xu, Yanzhe Xu, Qin Xu, Zichuan Xu, Xinyun Xu, Xiaoge Xu, Tianyu Xu, Lanjin Xu, Yigang Xu, Hongyan Xu, Guowang Xu, Jingjie Xu, Yangyang Xu, Yi-Huan Xu, Guanhua Xu, Hongrong Xu, Fen Xu, Pin-Xian Xu, Jian Xu, Tiantian Xu, Zhonghui Xu, Changfu Xu, Dong-Hui Xu, Yi-Ni Xu, Jialu Xu, Yuzhong Xu, Hongli Xu, Mingyuan Xu, Minghao Xu, C F Xu, Qinghua Xu, Yiting Xu, Qian Xu, Jiahong Xu, Xizheng Xu, Haixiang Xu, Kun Xu, Yunfei Xu, Xiaoyang Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Jinguo Xu, Guiyun Xu, Lingyi Xu, Wenbin Xu, Chunjie Xu, Cheng-Bin Xu, Manman Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Mengmeng Xu, Yu-Xin Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Waner Xu, Shiliyang Xu, Zhiyao Xu, Gu-Feng Xu, Wenyuan Xu, J T Xu, Haifeng Xu, Ling Xu, Chaohua Xu, Lisha Xu, Huaisha Xu, Xiayun Xu, Qian-Fei Xu, Jinying Xu, Tengyun Xu, Chaoguang Xu, Fuyi Xu, Shihui Xu, Yingna Xu, Aishi Xu, Yanyan Xu, Bilian Xu, Qiuhui Xu, Jinsheng Xu, Qinwen Xu, Tianfeng Xu, Lihui Xu, Liyi Xu, Guanyi Xu, Wenyan Xu, Ru-xiang Xu, Zongzhen Xu, Nan Xu, Rui-Xia Xu, Jinxian Xu, Zhiting Xu, Jiaming Xu, Shan-Rong Xu, Yi-Tong Xu, Xiaojuan Xu, Guifa Xu, Xia-Jing Xu, Libin Xu, Dequan Xu, Guoxu Xu, Hong Xu, Lubin Xu, Cai Xu, Mengying Xu, Tian-Le Xu, J Xu, Weidong Xu, Chengbi Xu, Cong-jian Xu, Yibin Xu, Qianlan Xu, Tingting Xu, Caiqiu Xu, Hong-Yan Xu, Hanqian Xu, Xiao Le Xu, Bei Xu, Guanlan Xu, Ming-Zhu Xu, Jianxin Xu, Long Xu, Xiaopeng Xu, Yinjie Xu, Shufen Xu, Zhihua Xu, Ming-Jiang Xu, Di Xu, Qingwen Xu, Jiake Xu, Tingxuan Xu, Ping Xu, Peng-Ju Xu, Shang-Rong Xu, Li-Zhi Xu, Baoping Xu, Huan Xu, Wenwu Xu, Zhenyu Xu, Chong Xu, Sihua Xu, Anlong Xu, Lu Xu, Chen-Yang Xu, Xiaoyu Xu, Zhe Xu, Qiuyue Xu, Guangquan Xu, Peiyu Xu, Huihui Xu, Ding Xu, Yuchen Xu, Jianguo Xu, Xuegong Xu, Lingyang Xu, Jia-Yue Xu, Liping Xu, Yiyi Xu, Yuling Xu, Jianqiu Xu, Lichi Xu, Xiaojiang Xu, Mao Xu, Yuyang Xu, Zhaofa Xu, Xiao-Hui Xu, Qingchan Xu, Yanli Xu, Julie Xu, Minglan Xu, G Xu, Yao Xu, Yali Xu, Miaomiao Xu, Yanqi Xu, Tian Xu, Xiaojin Xu, Xiaowen Xu, Lingxiang Xu, Qing-Yang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Fangmin Xu, Xingshun Xu, Wenzhuo Xu, Fu Xu, Haimin Xu, Shengtao Xu, Jiahui Xu, Zhiwei Xu, Peiwei Xu, Daichao Xu, Wen-Hui Xu, Xingyan Xu, H Eric Xu, Zhi-Feng Xu, Mingming Xu, Daiqi Xu, Keman Xu, Hongtao Xu, Yinying Xu, Yuexin Xu, Yuanwei Xu, Jinfeng Xu, Xuanqi Xu, L Xu, Chunyan Xu, Hanting Xu, Chaoyu Xu, Shendong Xu, Tiancheng Xu, Guangsen Xu, Chentong Xu, Banglao Xu, Yaozeng Xu, Tao Xu, Danyan Xu, Ren-He Xu, Haiyan Xu, Jian-Guang Xu, Yu-Fen Xu, Youzhi Xu, Enwei Xu, Hui Xu, F F Xu, Zejun Xu, Ningda Xu, Li-Wei Xu, N Y Xu, Xiaoya Xu, Ren Xu, Ze-Jun Xu, Yanan Xu, Jiapei Xu, Peigang Xu, Tianxiang Xu, Haiqi Xu, Qing-Wen Xu, Junnv Xu, Tian-Rui Xu, Wanfu Xu, Wang-Hong Xu, Maotian Xu, Suoyu Xu, Mingli Xu, Qingqing Xu, Liwen Xu, Zhenming Xu, Jingyi Xu, Yihua Xu, Dong-Juan Xu, Mu Xu, Meifeng Xu, Li-Ling Xu, Dongmei Xu, Jianliang Xu, Pengfei Xu, Xinjie Xu, Changlin Xu, Yingli Xu, Fang-Yuan Xu, Ying Xu, Guo-Liang Xu, Zhiqiang Xu, Xirui Xu, Haiying Xu, Wen Xu, Wenwen Xu, Xiaoyin Xu, Mengping Xu, Jing-Yu Xu, Chunlan Xu, Danfeng Xu, Yuan Xu, Wenchun Xu, Zekuan Xu, Nuo Xu, Shuxiang Xu, Min Jie Xu, Penghui Xu, Zixuan Xu, Bingqi Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Qingyuan Xu, Zhaojun Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yayun Xu, Yingju Xu, Guang-Qing Xu, Kaixiang Xu, Lingling Xu, Jiyu Xu, Anton Xu, Jason Xu, Donghang Xu, Xiaowu Xu, Fengzhe Xu, Xia Xu, Xiangshan Xu, Wan-Ting Xu, Fengyan Xu, Qingheng Xu, Changlu Xu, Huaiyuan Xu, Jinsong Xu, Dongchen Xu, Rang Xu, Peng-Yuan Xu, Jinyuan Xu, Weihong Xu, Wanxue Xu, Jie Xu, Xinyi Xu, Junfeng Xu, Danning Xu, Haiming Xu, Sutong Xu, Shan Xu, Meng Xu, Yueyue Xu, Jixuan Xu, Hongjian Xu, Zhidong Xu, Jinjin Xu, Xiaobo Xu, Hongmei Xu, Shu-Xian Xu, Chuang Xu, Shuaili Xu, Yun Xu, Zhixian Xu, Yue Xu, George X Xu, Man Xu, Jiaai Xu, Zeqing Xu, Baijie Xu, Zheng-Fan Xu, Bojie Xu, Mengru Xu, H Y Xu, Yinhe Xu, Linna Xu, Liqun Xu, Zhi-Zhen Xu, Xiaohui Xu, Yinxia Xu, Xingmeng Xu, Pan Xu, Pengjie Xu, Kai Xu, Kexin Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Shuiyang Xu, Hongjiang Xu, Kaihao Xu, Suo-Wen Xu, Heng Xu, Zebang Xu, Hongbo Xu, Chenhao Xu, Fanghua Xu, Yaowen Xu, Jing Xu, Qianqian Xu, Andrew Z Xu, Flora Mengyang Xu, Yuanzhi Xu, Leilei Xu, Leyuan Xu, M-Y Xu, Hongzhi Xu, Zongren Xu, Xinyue Xu, Qingxia Xu, Cineng Xu, Xiao-Hua Xu, Nannan Xu, Guoshuai Xu, Mingzhu Xu, X S Xu, Guang Xu, Song-Hui Xu, Zhiyang Xu, Wang-Dong Xu, De-Xiang Xu, Yi Ran Xu, Shengen Xu, Jianzhong Xu, F Xu, Dexiang Xu, Rui-Hua Xu, Tongxin Xu, Wanting Xu, Bingqian Xu, Yang Xu, Jiaqian Xu, Yu-Ping Xu, Zhanqiong Xu, Haixia Xu, Hao Xu, HuiTing Xu, Hanfei Xu, Shu-Zhen Xu, Zhong Xu, Xun Xu, Xiaolu Xu, S Xu, Guangyan Xu, Ning Xu, Chengye Xu, Xizhan Xu, Ya-Peng Xu, Jianming Xu, Wenhao Xu, Minghong Xu, Mingqian Xu, Yaqin Xu, Chang-Qing Xu, Weiyong Xu, Huixuan Xu, Jialin Xu, Z Xu, Fei Xu, Pao Xu, Youping Xu, Keke Xu, Shunjiang Xu, Feilai Xu, Jia-Li Xu, Yucheng Xu, Qi Xu, Jinhua Xu, Chunli Xu, Zhiliang Xu, Jinxin Xu, Lifen Xu, Bingqing Xu, Lianjun Xu, Weihai Xu, Wenqi Xu, Zheng-Hong Xu, Lin Xu, Zuojun Xu, Yanquan Xu, Yanwu Xu, Mingjie Xu, Hui-Lian Xu, Dongjun Xu, Maodou Xu, Cong Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Yinglin Xu, Haoyu Xu, Wenqing Xu, Jiali Xu, Changliu Xu, Xiaoke Xu, Feng-Xia Xu, Carrie Xu, Yuheng Xu, Shimeng Xu, Wanwan Xu, Weiming Xu, Gui-Ping Xu, Zhenzhou Xu, Yangbin Xu, Aohong Xu, Jia-Xin Xu, Wenlong Xu, Luyi Xu, De Xu, Xinxuan Xu, Changde Xu, Manyi Xu, Gaosi Xu, Baofeng Xu, Chang Xu, Wanhai Xu, Qing Xu, Zuyuan Xu, Pingwen Xu, Feng-Yuan Xu, Aoling Xu, Erping Xu, Shaoqi Xu, Zhicheng Xu, Lun-Shan Xu, Shiyao Sherrie Xu, Jianing Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Zhi Xu, Iris M J Xu, Xiaomeng Xu, Mengyi Xu, Meifang Xu, Houxi Xu, Yuanfeng Xu, Shuqia Xu, Da-Peng Xu, Hong-tao Xu, Yaling Xu, Mei Xu, Xiaojiao Xu, Zhiru Xu, Weide Xu, Dandan Xu, W Xu, Shun Xu, Jianhua Xu, Tongda Xu, Cynthia M Xu, Lijun Xu, Yechun Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Jiawei Xu, Ruohong Xu, Yuhan Xu, Shanqi Xu, Shoujia Xu, T Xu, Weifeng Xu, Qiuyun Xu, Hu Xu, Yanming Xu, Hongwei Xu, Ziyu Xu, Kaishou Xu, Jian Hua Xu, Xin Xu, Liu Xu, Zetan Xu, Leiting Xu, Yong-Nan Xu, Houguo Xu, Zhizhen Xu, Ya-lin Xu, Xiang Xu, Suowen Xu, Xuejin Xu, Yiming Xu, Shude Xu, Genxing Xu, Yun-Teng Xu, Yanling Xu, Yuanhong Xu, Lijuan Xu, Xingzhi Xu, Guanghao Xu, Qiu-Han Xu, Siqun Xu, Wen-Xiong Xu, Qianghua Xu, Shuangbing Xu, Wenjun Xu, Jiangang Xu, Yangliu Xu, Jinjian Xu, W M Xu, Shanqiang Xu, Zefeng Xu
articles
Deng-Feng Zhang, Hui-Long Li, Quanzhen Zheng +6 more · 2021 · Clinical genetics · Blackwell Publishing · added 2026-04-24
Previous genotyping-based assays have identified non-coding variants of several interleukins (ILs) being associated with genetic susceptibility to leprosy. However, understanding of the involvement of Show more
Previous genotyping-based assays have identified non-coding variants of several interleukins (ILs) being associated with genetic susceptibility to leprosy. However, understanding of the involvement of coding variants within all IL family genes in leprosy was still limited. To obtain the full mutation spectrum of all ILs in leprosy, we performed a targeted deep sequencing of coding regions of 58 ILs genes in 798 leprosy patients (age 56.2 ± 14.4; female 31.5%) and 990 healthy controls (age 38.1 ± 14.0; female 44.3%) from Yunnan, Southwest China. mRNA expression alterations of ILs in leprosy skin lesions or in response to M. leprae treatment were estimated by using publicly available expression datasets. Two coding variants in IL27 (rs17855750, p.S59A, p = 4.02 × 10 Show less
no PDF DOI: 10.1111/cge.13945
IL27
Renling Zou, Xiayang Huang, Peng Xu · 2021 · Biochemistry and biophysics reports · Elsevier · added 2026-04-24
Rheumatoid arthritis (RA) is a chronic immune disease characterized by synovitis and bone destruction. The osteoclasts play a critical role in pathologic bone loss during inflammatory arthritis. In th Show more
Rheumatoid arthritis (RA) is a chronic immune disease characterized by synovitis and bone destruction. The osteoclasts play a critical role in pathologic bone loss during inflammatory arthritis. In this paper, we report that Interleukin (IL)-6, IL-6Rα/gp130, IL-11, IL-27, and Matrix Metallo Proteinases (MMP)-9 expression results in serum of the RA group were significantly higher than that of the control group. The gp130 positive cells in peripheral blood mononuclear cell (PBMC) and osteoclast-like cells (OLC) which had been induced with receptor activator of nuclear factor κB ligand (RANKL) in RA group were also higher than that in the control group. In addition, after OLC in RA group is cultured with Show less
📄 PDF DOI: 10.1016/j.bbrep.2021.100934
IL27
Yi Wang, Guogang Dai, Yan Xu +5 more · 2021 · Journal of orthopaedic surgery and research · BioMed Central · added 2026-04-24
Although integrated traditional Chinese medicine (TCM) has long been indicated to be effective in the treatment of sciatica and is widely used in the management of this condition, the mechanism by whi Show more
Although integrated traditional Chinese medicine (TCM) has long been indicated to be effective in the treatment of sciatica and is widely used in the management of this condition, the mechanism by which integrated TCM alleviates sciatica has not yet been fully defined, and the effect of integrated TCM on gene expression in the peripheral blood of patients with sciatica is still unknown. We performed this study to investigate the effect of integrated TCM on peripheral blood gene expression in patients with sciatica and to explore new clues for studying the mechanism of integrated TCM in alleviating sciatica. We used a microarray to identify differentially expressed genes (DEGs) in the peripheral blood of patients with sciatica and healthy controls (DEGs-baseline), bioinformatic analysis to reveal the characteristics of DEGs-baseline, and the key genes that contribute to the gene dysregulation. A microarray was also used to identify DEGs in the peripheral blood of patients with sciatica after integrated TCM treatment compared with those at baseline, and the expression levels of DEGs were validated by qRT-PCR. We identified 153 DEGs-baseline, which included 131 upregulated genes and 22 downregulated genes. Bioinformatic analysis revealed that most of the DEGs-baseline were related to immunity and the inflammatory response and that TLR4, MMP9, MPO, CAMP, RETN, TLR5, and IL1RN were key genes involved in the dysregulation of genes in the peripheral blood of patients with sciatica. The expression levels of TLR5, IL1RN, SLC8A1, RBM20, GPER1, IL27, SOCS1, and GRTP1-AS1 were decreased in the peripheral blood of patients after integrated TCM treatment compared with that at baseline, which was accompanied by relief of pain. Integrated TCM treatment relieved pain while regulating the gene expression of TLR5, IL1RN, SLC8A1, RBM20, GPER1, IL27, SOCS1, and GRTP1-AS1 in the peripheral blood of patients with sciatica. Our study provides new clues for studying the mechanism of TCM in treating sciatica. Show less
📄 PDF DOI: 10.1186/s13018-021-02280-1
IL27
Jin-Di Huang, Chong Zhang, Wen-Juan Xu +4 more · 2021 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Jatropha curcas L. (Euphorbiaceae), as a drought resistant shrub mainly cultivated in tropical and subtropical areas worldwide, is widely used as traditional medicine to cure arthritis, dysentery, abs Show more
Jatropha curcas L. (Euphorbiaceae), as a drought resistant shrub mainly cultivated in tropical and subtropical areas worldwide, is widely used as traditional medicine to cure arthritis, dysentery, abscess and pneumonia in Asian, African and South American folklores. The methanolic extracts of the roots have been revealed the anti-inflammatory activity in vivo and vitro. This research aimed to provide promising anti-inflammatory candidates from the roots of J. curcas. In addition, RNA-Seq was conducted to give targeted genes involved in the anti-inflammatory action. The diterpenoids were isolated from the CH Six diterpenoids were obtained from J. curcas, and four of them were identified to be new lathyrane diterpenoids: jatrocurcasenones F-I (1-4). Compounds 3 and 4 exhibited potent inhibitory activities against LPS-induced nitric oxide (NO) production in RAW264.7 cells with IC This study offered four new lathyrane diterpenoids, of them, jatrocurcasenone I (4) showed significant anti-inflammatory activity. RNA-Seq suggested that jatrocurcasenone I (4) could be a candidate drug for the prevention inflammation-mediated diseases by modulating 24 candidate DEGs. Show less
no PDF DOI: 10.1016/j.jep.2020.113673
IL27
Richard J Fantus, Rong Na, Jun Wei +9 more · 2021 · European urology open science · Elsevier · added 2026-04-24
Despite strong evidence of heritability, few studies have attempted to unveil the genetic underpinnings of testosterone levels. To identify testosterone-associated loci in a large study and assess the Show more
Despite strong evidence of heritability, few studies have attempted to unveil the genetic underpinnings of testosterone levels. To identify testosterone-associated loci in a large study and assess their biological and clinical implications. The participants were men from the UK Biobank. A two-stage genome-wide association study (GWAS) was first used to identify/validate loci for low testosterone (LowT, <8 nmol/l) in 80% of men ( Associations of single nucleotide polymorphisms (SNPs) with LowT were tested using an additive model. Analyses of the expression quantitative trait loci (eQTLs) were performed to assess the associations between significant SNPs and expression of nearby genes (within 1 Mbp). A genetic risk score (GRS) was used to assess the cumulative effect of multiple independent SNPs on LowT risk. The two-stage GWAS found SNPs in 141 loci of 41 cytobands that were significantly associated with LowT ( Identification of the genetic variants associated with LowT may improve our understanding of its etiology and identify high-risk men for LowT screening. We identified 141 new genetic loci that can be incorporated into a genetic risk score that can potentially identify men with low testosterone. Show less
📄 PDF DOI: 10.1016/j.euros.2021.04.010
JMJD1C
Yong Yang, Xinjing Zhang, Xiaoyan Zhang +12 more · 2021 · FEBS open bio · Wiley · added 2026-04-24
Leukemic stem cells (LSCs) comprise a very rare cell population that results in the development of acute myeloid leukemia. The selective targeting of drivers in LSCs with small molecule inhibitors hol Show more
Leukemic stem cells (LSCs) comprise a very rare cell population that results in the development of acute myeloid leukemia. The selective targeting of drivers in LSCs with small molecule inhibitors holds promise for treatment of acute myeloid leukemia. Recently, we reported the identification of inhibitors of the histone lysine demethylase JMJD1C that preferentially kill MLL rearranged acute leukemia cells. Here, we report the identification of jumonji domain modulator #7 (JDM-7). Surface plasmon resonance analysis showed that JDM-7 binds to JMJD1C and its family homolog JMJD1B. JDM-7 did not significantly suppress cell proliferation in liquid cell culture at higher doses, although it led to a significant decrease in semi-solid colony formation experiments at lower concentrations. Moreover, low doses of JDM-7 did not suppress the proliferation of erythroid progenitor cells. We identified that JDM-7 downregulates the LSC self-renewal gene HOXA9 in leukemia cells. We further found that the structure of JDM-7 is similar to that of tadalafil, a drug approved by the US Food and Drug Administration. Molecular docking and surface plasmon resonance analysis showed that tadalafil binds to JMJD1C. Moreover, similar to JDM-7, tadalafil suppressed colony formation of leukemia cells in semi-solid cell culture at a concentration that did not affect primary umbilical cord blood cells. In summary, we have identified JDM-7 and tadalafil as potential JMJD1C modulators that selectively inhibit the growth of LSCs. Show less
📄 PDF DOI: 10.1002/2211-5463.13054
JMJD1C
Lifang Hu, Chong Yin, Dong Chen +9 more · 2021 · Cell death and differentiation · Nature · added 2026-04-24
Osteoblast differentiation leading to bone formation requires a coordinated transcriptional program. Osteoblastic cells with low level of microtubule actin crosslinking factor 1 (MACF1) show reduced o Show more
Osteoblast differentiation leading to bone formation requires a coordinated transcriptional program. Osteoblastic cells with low level of microtubule actin crosslinking factor 1 (MACF1) show reduced osteoblast differentiation ability, however, the comprehensive mechanism of MACF1's action remains unexplored. In the current study, we found that MACF1 knockdown suppressed osteoblast differentiation by altering the transcriptome dynamics. We further identified two MACF1-interacted proteins, cyclin-dependent kinase 12 (CDK12) and MYST/Esa1-associated factor 6 (MEAF6), and two MACF1-interacted transcription factors (TFs), transcription factor 12 (TCF12) and E2F transcription factor 6 (E2F6), which repress osteoblast differentiation by altering the expression of osteogenic TFs and genes. Moreover, we found that MACF1 regulated cytoplasmic-nuclear localization of itself, TCF12 and E2F6 in a concentration-dependent manner. MACF1 oppositely regulates the expression of TCF12 and transcription factor 7 (TCF7), two TFs that drive osteoblast differentiation to opposite directions. This study reveals that MACF1, a cytoskeletal protein, acts as a sponge for repressors of osteoblast differentiation to promote osteoblast differentiation and contributes to a novel mechanistic insight of osteoblast differentiation and transcription dynamics. Show less
no PDF DOI: 10.1038/s41418-021-00744-9
MACF1
Longyang Liu, Ke Hu, Zhaoyang Zeng +4 more · 2021 · Recent patents on anti-cancer drug discovery · Bentham Science · added 2026-04-24
Ovarian Cancer (OC) remains the first leading cause of gynecologic malignancy. The survival rate from Serous Ovarian Cancer (SOC) is very low, and the present prognostic predictors of SOC are not very Show more
Ovarian Cancer (OC) remains the first leading cause of gynecologic malignancy. The survival rate from Serous Ovarian Cancer (SOC) is very low, and the present prognostic predictors of SOC are not very sensitive or specific. The present study aimed to investigate Microtubule-Actin Cross-Linking Factor 1 (MACF1) expression in SOC tissues (including paraffin-embedded and fresh tissues) and to assess its expression and significant value in patients with SOC. A total of 18 fresh SOC tissues and their paired paratumor tissues were performed with reverse-transcription quantitative PCR analysis to detect MACF1 mRNA expression. Moreover, 175 paraffin-embedded SOC tissues and 41 paratumor tissues were assessed for MACF1 expression using immunohistochemistry. The mRNA and protein expression of MACF1, both were higher in cancer tissues than that in paratumor tissues, and the high expression of MACF1 was associated with shorter Recurrence Free Survival (RFS) and Overall Survival (OS) in patients with SOC. Furthermore, multivariate regression analysis showed that high MACF1 expression was an independent poor survival predictor of patients with SOC. MACF1 is upregulated in SOC, and it may be used as a useful prognostic biomarker in SOC. Show less
no PDF DOI: 10.2174/1574892816666210211091543
MACF1
Somayeh Kafaie, Ling Xu, Ting Hu · 2021 · Genetic epidemiology · Wiley · added 2026-04-24
Though additive forms of heritability are primarily studied in genetics, nonlinear, non-additive gene-gene interactions, that is, epistasis, could explain a portion of the missing heritability in comp Show more
Though additive forms of heritability are primarily studied in genetics, nonlinear, non-additive gene-gene interactions, that is, epistasis, could explain a portion of the missing heritability in complex human diseases including cancer. In recent years, powerful computational methods have been introduced to understand multivariable genetic factors of these complex human diseases in extremely high-dimensional genome-wide data. In this study, we investigated the performance of three powerful methods, BOolean Operation-based Screening and Testing (BOOST), FastEpistasis, and Tree-based Epistasis Association Mapping (TEAM) to identify interacting genetic risk factors of colorectal cancer (CRC) for genome-wide association studies (GWAS). After quality-control based data preprocessing, we applied these three algorithms to a CRC GWAS data set, and selected the top-ranked 100 single-nucleotide polymorphism (SNP) pairs identified by each method (251 SNPs in total), among which 74 pairs were common between FastEpistasis and BOOST. The identified SNPs by BOOST, FastEpistasis, and TEAM mapped to 58, 57, and 62 genes, respectively. Some genes highlighted by our study, including MACF1, USP49, SMAD2, SMAD3, TGFBR1, and RHOA, have been detected in previous CRC-related research. We also identified some new genes with potential biological relevance to CRC such as CCDC32. Furthermore, we constructed the network of these top SNP pairs for three methods, and the patterns identified in the networks show that some SNPs including rs2412531, rs349699, and rs17142011 play a crucial role in the classification of disease status in our study. Show less
no PDF DOI: 10.1002/gepi.22372
MACF1
Ran Li, Chen Hu, Jianning Wang +4 more · 2021 · Microorganisms · MDPI · added 2026-04-24
Marine protists are essential for globally critical biological processes, including the biogeochemical cycles of matter and energy. However, compared with their prokaryotic counterpart, it remains lar Show more
Marine protists are essential for globally critical biological processes, including the biogeochemical cycles of matter and energy. However, compared with their prokaryotic counterpart, it remains largely unclear how environmental factors determine the diversity and distribution of the active protistan communities on the regional scale. In the present study, the biodiversity, community composition, and potential drivers of the total, abundant, and rare protistan groups were studied using high throughput sequencing on the V9 hyper-variable regions of the small subunit ribosomal RNA (SSU rRNA) along an estuary to basin transect in the northern South China Sea. Overall, Bacillariophyta and Cercozoa were abundant in the surface water; heterotrophic protists including Spirotrichea and marine stramenopiles 3 (MAST-3) were more abundant in the subsurface waters near the heavily urbanized Pearl River estuary; Chlorophyta and Pelagophyceae were abundant at the deep chlorophyll maximum depth, while Hacrobia, Radiolaria, and Excavata were the abundant groups in the deep water. Salinity, followed by water depth, temperature, and other biological factors, were the primary factors controlling the distinct vertical and horizontal distribution of the total and abundant protists. Rare taxa were driven by water depth, followed by temperature, salinity, and the concentrations of PO Show less
📄 PDF DOI: 10.3390/microorganisms9020351
MAST3
Shuang Ding, Wen Qi, Qi Xu +7 more · 2021 · Environmental pollution (Barking, Essex : 1987) · Elsevier · added 2026-04-24
In recent years, the incidence of lipid metabolism disorders in adolescents has gradually increased, and the effects of DEHP on lipid metabolism have received widespread attention. In this study, 463 Show more
In recent years, the incidence of lipid metabolism disorders in adolescents has gradually increased, and the effects of DEHP on lipid metabolism have received widespread attention. In this study, 463 adolescents aged 16-19 years were enrolled as subjects. This study analyzed the associations between the urinary levels of DEHP metabolites (MEHP, MEOHP, MEHHP, MECPP, MCMHP, and ∑DEHP) and BMI, WHR, WtHR, VAI, LAP, the plasma levels of lipids (TC, TG, HDL-C, and LDL-C), and the peripheral blood leukocyte mRNA levels of SREBP-2, SR-BI, LDLR, and NR1H3. Animal experiments were performed to confirm and expand findings. Wistar rats were administered DEHP at 0, 5, 50, and 500 mg/kg/d for 8 weeks. The serum and liver levels of TC, TG, HDL-C, and LDL-C, and the liver mRNA and protein levels of SREBP-2, SR-BI, LDLR, and NR1H3 were measured. The results showed that WHR, VAI, and LAP were significantly positively associated with the urinary levels of MECPP and ∑DEHP; the plasma HDL-C level was significantly negatively associated with the levels of MECPP, MCMHP and ∑DEHP; the peripheral blood leukocyte mRNA levels of SREBP-2, NR1H3, and LDLR were significantly positively correlated with the MCMHP level; and the SR-BI mRNA level was significantly positively correlated with the levels of MECPP and MCMHP in adolescents. Moreover, the results of animal experiments showed that DEHP exposure significantly increased the serum levels of TC, HDL-C, and LDL-C in 500 mg/kg/d group, as well as the liver levels of TC and HDL-C, up-regulated SREBP-2 mRNA and protein expression in 50 and 500 mg/kg/d groups. DEHP exposure significantly down-regulated SR-BI and NR1H3 protein expression in the liver of the 500 mg/kg/d group rats. Our findings indicate that DEHP exposure can affect lipid metabolism in adolescents by regulating the expression of lipid metabolism-related genes. Show less
no PDF DOI: 10.1016/j.envpol.2021.117570
NR1H3
Xuanjing Chen, Dezhi Zou, Xiaoling Chen +2 more · 2021 · Journal of physiology and biochemistry · Springer · added 2026-04-24
Cholesterol efflux from macrophages is the first step of reverse cholesterol transport (RCT), whose increase inhibits cholesterol accumulation and foam cell formation to suppress atherogenesis. Hesper Show more
Cholesterol efflux from macrophages is the first step of reverse cholesterol transport (RCT), whose increase inhibits cholesterol accumulation and foam cell formation to suppress atherogenesis. Hesperetin has been reported to exert several protective effects on cardiovascular diseases, while little is known about the role of hesperetin and its underlying mechanism in macrophage foam cell formation. In this study, we sought to investigate the potential effects of hesperetin on foam cell formation and cholesterol efflux by using human macrophages, focusing on liver X receptor alpha (LXRα) and AMPK. We found that hesperetin treatment reduced foam cell formation, intracellular cholesterol levels and the cholesterol esterification rate, and increased cholesterol efflux in THP-1 macrophages. Hesperetin increased the levels of LXRα protein and its targets, including ABCA1, ABCG1, SR-BI, and phosphorylated-AMPK. Meanwhile, the hesperetin-induced increase in LXRα expression was further increased by the AMPK agonist and inhibited by an AMPK inhibitor. Meanwhile, hesperetin increased the levels of LXRα mRNA and its target genes, all of which were decreased in cells transfected with the AMPKα1/α2 small interfering RNA (siRNA). Furthermore, the hesperetin-induced inhibition of foam cell formation and promotion of cholesterol efflux were decreased by transfection of AMPKα1/α2 siRNA. In conclusions, We are the first to report that hesperetin activate AMPK in THP-1-derived macrophages. This activation upregulats LXRα and its targets, including ABCA1, ABCG1 and SR-BI, which significantly inhibits foam cell formation and promotes cholesterol efflux. Our results highlight the therapeutic potential of hesperetin to possibly reduce foam cell formation. This new mechanism might contribute the anti-atherogenic effects of hesperetin. Show less
no PDF DOI: 10.1007/s13105-020-00783-9
NR1H3
Zuchao Mao, Ruizhen Huang, Jing Xu +2 more · 2021 · Neurochemical research · Springer · added 2026-04-24
Peripheral nerve injury often leads to neuropathic pain. In the present study, we assessed the role of liver x receptor alpha (LXRα), an oxysterol regulated nuclear transcription factor that promotes Show more
Peripheral nerve injury often leads to neuropathic pain. In the present study, we assessed the role of liver x receptor alpha (LXRα), an oxysterol regulated nuclear transcription factor that promotes reverse cholesterol transport and alternative (M2) macrophage activation, in the development of neuropathic pain. We found that compared to WT mice, in LXRα knockout mice the development of mechanical allodynia following sciatic nerve crush was accelerated and the duration was prolonged. Furthermore, the expression of M1-like macrophage marker iNOS and M1-like macrophages inducer hydrogen peroxide (H2O2) was increased, whereas expression of M2 macrophage marker arginase-1 (Arg-1) and interleukin-10 (IL-10) was reduced in the sciatic nerve of LXRα knockout mice. Moreover, peri-sciatic administration of LXRs agonist GW3965, immediately after the nerve crush, into wild type mice, suppressed the mechanical allodynia induced by crush injury. GW3965 also suppressed the expression of iNOS and production of H2O2 in the injured nerve and enhanced the expression of IL-10 and Arg-1. Importantly, peri-sciatic administration of IL-10 neutralization antibody prevented the alleviating effect of GW3965 on mechanical allodynia. Altogether, these results indicates that the lack of LXRα in the sciatic nerve results in an augmented inflammatory profile of macrophages, which ultimately speed up the development of neuropathic pain and dampen its recovery following nerve injury. Activation of LXRα by its agonist might rebalance the neuroprotective and neurotoxic macrophage phenotypes, and thus alleviate the neuropathic pain behavior. Show less
no PDF DOI: 10.1007/s11064-020-03171-3
NR1H3
Xiaosi Yu, Juan Guo, Qian Zhou +3 more · 2021 · Breast cancer (Tokyo, Japan) · Springer · added 2026-04-24
To find immune-related genes with prognostic value in breast cancer, and construct a prognostic risk assessment model to make a more accurate assessment. Moreover, looking for potential immune markers Show more
To find immune-related genes with prognostic value in breast cancer, and construct a prognostic risk assessment model to make a more accurate assessment. Moreover, looking for potential immune markers for breast cancer immunotherapy. The breast cancer (BC) data were retrieved from The Cancer Genome Atlas (TCGA) database as a training set. Through the Weighted gene co-expression network analysis (WGCNA), Kaplan-Meier (KM) analysis, lasso regression analysis and stepwise backward Cox regression analysis, screening for prognosis-related immune genes, a prognostic index was built, and external validation with two data sets of Gene Expression Omnibus (GEO) database was performed. Transcription factor (TF) regulatory network was constructed to identify key transcription factors that regulate prognostic immune genes. Gene set enrichment analysis (GSEA) was used to explore the signal pathways differences between high and low-risk groups, estimate package and TIMER database were used to evaluate the relationship between risk score and tumor immune microenvironment. We obtained 10 prognosis-related immune genes, and the index showed accurate prognostic value. We also identified 7 prognostic transcription factors. Multiple signaling pathways that inhibit tumor progression were enriched in the low-risk group, and risk score was significantly negatively related to the degree of immune infiltration and the expression level of immune checkpoint genes. We successfully constructed an independent prognostic index, which not only has a stronger predictive ability than the tumor pathological stage, but also can reflect the immune infiltration of breast cancer patients. Show less
no PDF DOI: 10.1007/s12282-020-01175-z
NR1H3
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
Yan Xia, Rujia Dai, Kangli Wang +11 more · 2021 · Molecular psychiatry · Nature · added 2026-04-24
Many psychiatric disorders are characterized by a strong sex difference, but the mechanisms behind sex-bias are not fully understood. DNA methylation plays important roles in regulating gene expressio Show more
Many psychiatric disorders are characterized by a strong sex difference, but the mechanisms behind sex-bias are not fully understood. DNA methylation plays important roles in regulating gene expression, ultimately impacting sexually different characteristics of the human brain. Most previous literature focused on DNA methylation alone without considering the regulatory network and its contribution to sex-bias of psychiatric disorders. Since DNA methylation acts in a complex regulatory network to connect genetic and environmental factors with high-order brain functions, we investigated the regulatory networks associated with different DNA methylation and assessed their contribution to the risks of psychiatric disorders. We compiled data from 1408 postmortem brain samples in 3 collections to identify sex-differentially methylated positions (DMPs) and regions (DMRs). We identified and replicated thousands of DMPs and DMRs. The DMR genes were enriched in neuronal related pathways. We extended the regulatory networks related to sex-differential methylation and psychiatric disorders by integrating methylation quantitative trait loci (meQTLs), gene expression, and protein-protein interaction data. We observed significant enrichment of sex-associated genes in psychiatric disorder-associated gene sets. We prioritized 2080 genes that were sex-biased and associated with psychiatric disorders, such as NRXN1, NRXN2, NRXN3, FDE4A, and SHANK2. These genes are enriched in synapse-related pathways and signaling pathways, suggesting that sex-differential genes of these neuronal pathways may cause the sex-bias of psychiatric disorders. Show less
no PDF DOI: 10.1038/s41380-019-0416-2
NRXN3
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
Yiming Lei, Xuan Xu, Huiling Liu +5 more · 2021 · Autophagy · Taylor & Francis · added 2026-04-24
The hepatitis B virus X protein (HBx) is involved in the process of hepatocellular carcinoma via the activation of various oncogenes. Our previous study indicated that ARBB1 (arrestin beta 1) promotes Show more
The hepatitis B virus X protein (HBx) is involved in the process of hepatocellular carcinoma via the activation of various oncogenes. Our previous study indicated that ARBB1 (arrestin beta 1) promotes hepatocellular carcinogenesis (HCC). However, the role of ARRB1 in HBx-related HCC remains unclear. Herein, we identified that ARRB1 was upregulated by HBx Show less
no PDF DOI: 10.1080/15548627.2021.1917948
PIK3C3
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
Guan Yang, Wenqiang Song, Jielin Xu +6 more · 2021 · Cellular & molecular immunology · Nature · added 2026-04-24
The PIK3C3/VPS34 subunit of the class III phosphatidylinositol 3-kinase (PtdIns3K) complex plays a role in both canonical and noncanonical autophagy, key processes that control immune-cell responsiven Show more
The PIK3C3/VPS34 subunit of the class III phosphatidylinositol 3-kinase (PtdIns3K) complex plays a role in both canonical and noncanonical autophagy, key processes that control immune-cell responsiveness to a variety of stimuli. Our previous studies found that PIK3C3 is a critical regulator that controls the development, homeostasis, and function of dendritic and T cells. In this study, we investigated the role of PIK3C3 in myeloid cell biology using myeloid cell-specific Pik3c3-deficient mice. We found that Pik3c3-deficient macrophages express increased surface levels of major histocompatibility complex (MHC) class I and class II molecules. In addition, myeloid cell-specific Pik3c3 ablation in mice caused a partial impairment in the homeostatic maintenance of macrophages expressing the apoptotic cell uptake receptor TIM-4. Pik3c3 deficiency caused phenotypic changes in myeloid cells that were dependent on the early machinery (initiation/nucleation) of the classical autophagy pathway. Consequently, myeloid cell-specific Pik3c3-deficient animals showed significantly reduced severity of experimental autoimmune encephalomyelitis (EAE), a primarily CD4 Show less
no PDF DOI: 10.1038/s41423-020-00589-1
PIK3C3
Wenxin Du, Aixiao Xu, Yunpeng Huang +6 more · 2021 · Autophagy · Taylor & Francis · added 2026-04-24
Although molecular targeted therapies have recently displayed therapeutic effects in acute myeloid leukemia (AML), limited response and acquired resistance remain common problems. Numerous studies hav Show more
Although molecular targeted therapies have recently displayed therapeutic effects in acute myeloid leukemia (AML), limited response and acquired resistance remain common problems. Numerous studies have associated autophagy, an essential degradation process involved in the cellular response to stress, with the development and therapeutic response of cancers including AML. Thus, we review studies on the role of autophagy in AML development and summarize the linkage between autophagy and several recurrent genetic abnormalities in AML, highlighting the potential of capitalizing on autophagy modulation in targeted therapy for AML. Show less
no PDF DOI: 10.1080/15548627.2020.1822628
PIK3C3
Boli Hu, Yina Zhang, Tingjuan Deng +9 more · 2021 · Autophagy · Taylor & Francis · added 2026-04-24
PDPK1 (3-phosphoinositide dependent protein kinase 1) is a phosphorylation-regulated kinase that plays a central role in activating multiple signaling pathways and cellular processes. Here, this study Show more
PDPK1 (3-phosphoinositide dependent protein kinase 1) is a phosphorylation-regulated kinase that plays a central role in activating multiple signaling pathways and cellular processes. Here, this study shows that PDPK1 turns on macroautophagy/autophagy as a SUMOylation-regulated kinase. Show less
no PDF DOI: 10.1080/15548627.2020.1817279
PIK3C3
Dewen Song, Lin Ye, Zengliang Xu +2 more · 2021 · Neoplasma · added 2026-04-24
Circular RNAs (circRNAs) play a crucial role in tumor occurrence and progression. And the dysregulated circRNAs are reported to be relevant to glioma development. Nevertheless, the function and regula Show more
Circular RNAs (circRNAs) play a crucial role in tumor occurrence and progression. And the dysregulated circRNAs are reported to be relevant to glioma development. Nevertheless, the function and regulatory mechanism of hsa_circ₀₀₃₀₀₁₈ in glioma progression are largely indistinct. The abundances of hsa_circ₀₀₃₀₀₁₈, miR-1297, and RAB21 were detected using quantitative real-time polymerase chain reaction or western blot. Cell proliferation was assessed via colony formation assay and 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay. Cell apoptosis and cell cycle progression were evaluated by flow cytometry. Cell migration and invasion were examined using transwell assay and wound healing assay. The protein levels were measured by western blot. The interaction between miR-1297 and hsa_circ₀₀₃₀₀₁₈ or RAB21 was validated via dual-luciferase reporter analysis, RNA immunoprecipitation (RIP), and RNA pull-down assays. A xenograft model experiment was performed to analyze the function of hsa_circ₀₀₃₀₀₁₈ on tumor growth in vivo. hsa_circ₀₀₃₀₀₁₈ and RAB21 levels were enhanced, and the miR-1297 level was reduced in glioma tissues and cells. The silence of hsa_circ₀₀₃₀₀₁₈ or overexpression of miR-1297 impeded cell proliferation, metastasis, and expedited cell apoptosis and cycle arrest in glioma cells. Furthermore, hsa_circ₀₀₃₀₀₁₈ modulated glioma malignant behaviors via sponging miR-1297, and miR-1297 suppressed glioma development via targeting RAB21. Moreover, hsa_circ₀₀₃₀₀₁₈ knockdown inhibited tumor growth in vivo. The hsa_circ₀₀₃₀₀₁₈ knockdown repressed glioma progression by mediating the miR-1297/RAB21 pathway, providing potential therapeutic targets for glioma treatment. Show less
no PDF DOI: 10.4149/neo_2020_200702N682
RAB21
Shuifang Lei, Lixi Li, Xiaoqin Yang +6 more · 2021 · Journal of human genetics · Nature · added 2026-04-24
DNA methylation in peripheral blood is associated with breast cancer (BC) but has mainly been studied in Caucasian populations. We investigated the association between blood-based methylation of recep Show more
DNA methylation in peripheral blood is associated with breast cancer (BC) but has mainly been studied in Caucasian populations. We investigated the association between blood-based methylation of receptor-associated protein of the synapse (RAPSN) and BC in Chinese population. The methylation levels of 12 RAPSN CpG sites were quantitatively evaluated by mass spectrometry in two case-control studies with 283 sporadic BC cases and 331 controls totally. The association was analyzed by logistic regression adjusted for covariants. The RAPSN methylation levels in patients with variant clinical characteristics were investigated by non-parametric tests. We found a significant association between BC and altered RAPSN methylation in blood in women at premenopausal and perimenopausal (age < 50 years old), but not in the elder women. This was approved by two independent case-control studies as well as by combining the subjects of the two studies (taken all subjects together, age < 50 years old, per 5% of methylation, odds ratio (OR) range from 1.17 to 1.30 for two CpG sites; OR = 0.75 for one CpG site; all p values < 0.02). This age-related RAPSN methylation was further modified by human epidermal growth factor receptor 2 (HER2) status (age < 50 years old, HER2 negative, per 5% of methylation, OR range from 1.27 to 1.48 for two CpG sites; OR = 0.76 for one CpG site; all p values < 0.02). We elucidated an association between BC and blood-based RAPSN methylation influenced by age and the status of HER2 in Chinese population. Show less
no PDF DOI: 10.1038/s10038-021-00933-x
RAPSN
Yun-Zheng Le, Bei Xu, Ana J Chucair-Elliott +2 more · 2021 · Biomolecules · MDPI · added 2026-04-24
To investigate the mechanism of vascular endothelial growth factor (VEGF) and brain-derived neurotrophic factor (BDNF) in Müller cell (MC) viability and neuroprotection in diabetic retinopathy (DR), w Show more
To investigate the mechanism of vascular endothelial growth factor (VEGF) and brain-derived neurotrophic factor (BDNF) in Müller cell (MC) viability and neuroprotection in diabetic retinopathy (DR), we examined the role of VEGF in MC viability and BDNF production, and the effect of BDNF on MC viability under diabetic conditions. Mouse primary MCs and cells of a rat MC line, rMC1, were used in investigating MC viability and BDNF production under diabetic conditions. VEGF-stimulated BDNF production was confirmed in mice. The mechanism of BDNF-mediated MC viability was examined using siRNA knockdown. Under diabetic conditions, recombinant VEGF (rVEGF) stimulated MC viability and BDNF production in a dose-dependent manner. rBDNF also supported MC viability in a dose-dependent manner. Targeting BDNF receptor tropomyosin receptor kinase B (TRK-B) with siRNA knockdown substantially downregulated the activated (phosphorylated) form of serine/threonine-specific protein kinase (AKT) and extracellular signal-regulated kinase (ERK), classical survival and proliferation mediators. Finally, the loss of MC viability in Show less
no PDF DOI: 10.3390/biom11050712
RMC1
Tianqin Wang, Chaoyang Zhang, Hai Xie +6 more · 2021 · Eye and vision (London, England) · BioMed Central · added 2026-04-24
Although vascular endothelial growth factor A (VEGF-A) is known to play a key role in causing retinal edema, whether and how VEGF-A induces intracellular edema in the retina still remains unclear. Spr Show more
Although vascular endothelial growth factor A (VEGF-A) is known to play a key role in causing retinal edema, whether and how VEGF-A induces intracellular edema in the retina still remains unclear. Sprague-Dawley rats were rendered diabetic with intraperitoneal injection of streptozotocin. Intravitreal injection of ranibizumab was performed 8 weeks after diabetes onset. rMC-1 cells (rat Müller cell line) were treated with glyoxal for 24 h with or without ranibizumab. The expression levels of inwardly rectifying K Compared with normal control, protein expressions of Kir4.1 and AQP4 were down-regulated significantly in diabetic rat retinas, which were prevented by ranibizumab. The above changes were recapitulated in vitro. Similarly, the intracellular potassium level in glyoxal-treated rMC-1 cells was increased, while the intracellular sodium level and Na Ranibizumab protected Müller cells from diabetic intracellular edema through the up-regulation of Kir4.1 and AQP4 by directly binding VEGF-A. It also caused a reduction in intracellular osmotic pressure. Show less
no PDF DOI: 10.1186/s40662-021-00237-3
RMC1
Zhicheng Dai, Yuwen Wang, Zhichong Wu +6 more · 2021 · Spine · added 2026-04-24
A genetic case-control study. To investigate whether the variants in BOC, SEC16B, and SH2D1B are sex-specifically and functionally associated with the susceptibility of adolescent idiopathic scoliosis Show more
A genetic case-control study. To investigate whether the variants in BOC, SEC16B, and SH2D1B are sex-specifically and functionally associated with the susceptibility of adolescent idiopathic scoliosis (AIS) in Chinese Han population. A recent genome-wide association study identified three female-specific susceptibility loci of AIS in Japanese population. However, the association of these genes with AIS in other populations remains unclear. Further investigation of the functional role of the three genes was warranted. SNPs rs73235136, rs545608, and rs142502288 were genotyped in 1599 AIS patients and 2985 controls. Paraspinal muscle collected from 40 AIS and 30 lumber disc herniation patients during surgical interventions was used for gene expression analysis. The difference regarding genotype and allele frequency between patients and controls was analyzed by chi-square analysis. Expression of BOC and SEC16B was compared between AIS and lumber disc herniation patients by the Student t test. Pearson correlation analysis was performed to evaluate the relationship between gene expression level and clinical phenotypes. SNPs rs73235136 of BOC and rs545608 of SEC16B were found to be remarkably associated with AIS only in females. Allele C of rs73235136 and allele G of rs545608 could significantly add to the risk of female AIS patients, with an odds ratio of 1.087 and 1.033, respectively. However, there was no significant difference between the male patients and controls regarding genotype or allele frequency of rs73235136 and rs545608. No polymorphism at rs142502288 was detected in either patients or controls, and all the subjects had genotype of AA. Moreover, tissue expression of BOC and SEC16B was significantly lower in AIS patients compared with controls. BOC expression was positively associated with bone mineral contents, and expression of SEC16B was negatively correlated with curve severity in AIS patients. Female-specific variants in BOC and SEC16B were associated with AIS. Expression of BOC and SEC16B was significantly lower in AIS patients. The role of BOC and SEC16B in the development of AIS is worthy of further investigation.Level of Evidence: 3. Show less
no PDF DOI: 10.1097/BRS.0000000000004098
SEC16B
Melissa E Skibba, Xiaofang Xu, Kurt Weiss +2 more · 2021 · Respiratory research · BioMed Central · added 2026-04-24
Repetitive aeroallergen exposure is linked to sensitization and airway remodeling through incompletely understood mechanisms. In this study, we examine the dynamic mucosal response to cat dander extra Show more
Repetitive aeroallergen exposure is linked to sensitization and airway remodeling through incompletely understood mechanisms. In this study, we examine the dynamic mucosal response to cat dander extract (CDE), a ubiquitous aero-allergen linked to remodeling, sensitization and asthma. We find that daily exposure of CDE in naïve C57BL/6 mice activates innate neutrophilic inflammation followed by transition to a lymphocytic response associated with waves of mucosal transforming growth factor (TGF) isoform expression. In parallel, enhanced bronchiolar Smad3 expression and accumulation of phospho-SMAD3 was observed, indicating paracrine activation of canonical TGFβR signaling. CDE exposure similarly triggered epithelial cell plasticity, associated with expression of mesenchymal regulatory factors (Snai1 and Zeb1), reduction of epithelial markers (Cdh1) and activation of the NFκB/RelA transcriptional activator. To determine whether NFκB functionally mediates CDE-induced growth factor response, mice were stimulated with CDE in the absence or presence of a selective IKK inhibitor. IKK inhibition substantially reduced the level of CDE-induced TGFβ1 expression, pSMAD3 accumulation, Snai1 and Zeb1 expression. Activation of epithelial plasticity was demonstrated by flow cytometry in whole lung homogenates, where CDE induces accumulation of SMA Show less
no PDF DOI: 10.1186/s12931-021-01910-w
SNAI1
Dianhua Qiao, Melissa Skibba, Xiaofang Xu +3 more · 2021 · American journal of physiology. Lung cellular and molecular physiology · added 2026-04-24
The paramyxoviridae, respiratory syncytial virus (RSV), and murine respirovirus are enveloped, negative-sense RNA viruses that are the etiological agents of vertebrate lower respiratory tract infectio Show more
The paramyxoviridae, respiratory syncytial virus (RSV), and murine respirovirus are enveloped, negative-sense RNA viruses that are the etiological agents of vertebrate lower respiratory tract infections (LRTIs). We observed that RSV infection in human small airway epithelial cells induced accumulation of glycosylated proteins within the endoplasmic reticulum (ER), increased glutamine-fructose-6-phosphate transaminases (GFPT1/2) and accumulation of uridine diphosphate (UDP)- Show less
no PDF DOI: 10.1152/ajplung.00127.2021
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Weiyu Wang, Yufan Ying, Haiyun Xie +10 more · 2021 · Cell cycle (Georgetown, Tex.) · Taylor & Francis · added 2026-04-24
Emerging research indicates that miRNAs can regulate cancer progression by influencing molecular pathways. Here, we studied miR-665, part of the DLK1-DIO3 miRNA cluster, which is downregulated by upst Show more
Emerging research indicates that miRNAs can regulate cancer progression by influencing molecular pathways. Here, we studied miR-665, part of the DLK1-DIO3 miRNA cluster, which is downregulated by upstream methylation in bladder cancer. MiR-665 overexpression significantly downregulated the expression of SMAD3, phospho-SMAD3, and SNAIL, reversed epithelial-mesenchymal transition progression, and inhibited the migration of bladder cancer cells. To predict potential targets of miR-665, we used online databases and subsequently determined that miR-665 binds directly to the 3' untranslated region of SMAD3. Moreover, silencing of SMAD3 with small interfering RNAs phenocopied the effect of miR-665 overexpression, and overexpression of SMAD3 restored miR-665-overexpression-induced metastasis. This study revealed the role of the miR-665/SMAD3/SNAIL axis in bladder cancer, as well as the potential of miR-665 as a promising therapeutic target. Show less
no PDF DOI: 10.1080/15384101.2021.1929677
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