πŸ‘€ Yinjiang Zhang

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Also published as: Lanyue Zhang, Zemin Zhang, Kangning Zhang, Fan Zhang, Xianpeng Zhang, Xiaoxia Zhang, Suping Zhang, Jingtian Zhang, Jianzhao Zhang, Guoan Zhang, Bowei Zhang, Mengshi Zhang, Shijun Zhang, Nieke Zhang, Guoguo Zhang, J R Zhang, Hongbin Zhang, Xiao-Ming Zhang, Baojing Zhang, Linjing Zhang, Xiao-bo Zhang, Dai Zhang, Rongchao Zhang, Guang-Qiong Zhang, Jixing Zhang, Xiaomei Zhang, Honghua Zhang, Lixia Zhang, Jinhua Zhang, Xiaotong Zhang, Shu Zhang, Ming Zhang, Jianeng Zhang, Xintao Zhang, T Zhang, Li-Ke Zhang, Miaoran Zhang, Jinfeng Zhang, Shi Zhang, Lingxiao Zhang, Xiaoli Zhang, Hongjie Zhang, Bosheng Zhang, Qingfeng Zhang, Xiaofei Zhang, Tonghua Zhang, Huiting Zhang, Yuning Zhang, Yangfan Zhang, Guiping Zhang, Junying Zhang, Xiaojie Zhang, Yu-Chi Zhang, Yumin Zhang, Daming Zhang, Hongquan Zhang, Youzhong Zhang, Jianghong Zhang, Zhenzhen Zhang, Yixia Zhang, Yuebo Zhang, Yijing Zhang, Wenji Zhang, Xianjing Zhang, Menghuan Zhang, Xinwu Zhang, Xinyi Zhang, Fujun Zhang, Wen-Hong Zhang, Dayi Zhang, Xiongze Zhang, Qiaojun Zhang, F P Zhang, Sanbao Zhang, Nianxiang Zhang, Ya Zhang, Wenyang Zhang, Yunmei Zhang, Qingrun Zhang, Hailing Zhang, X X Zhang, Xiao-Yu Zhang, Zhihui Zhang, Youyi Zhang, Haokun Zhang, Jason Z Zhang, Jing-Nan Zhang, Han Zhang, Caiyu Zhang, Jianhong Zhang, Wenlu Zhang, Guang Zhang, Xinran Zhang, Xiaoxi Zhang, Kongyong Zhang, Xiuming Zhang, Jiaxing Zhang, Zhaobo Zhang, Wenkui Zhang, Yintang Zhang, Wen-Jie Zhang, Zhong-Yin Zhang, Ziding Zhang, XiaoLin Zhang, Xiao-Meng Zhang, Wenwen Zhang, Jinfang Zhang, Jinliang Zhang, Xiaoyuan Zhang, Jieming Zhang, Jiannan Zhang, Tianshu Zhang, Xinheng Zhang, Shitian Zhang, Su Zhang, Wen-Xuan Zhang, Qiuyue Zhang, Bohua Zhang, C Zhang, P Zhang, Huaqi Zhang, Fuqiang Zhang, Ruihong Zhang, Shanchun Zhang, Mingjun Zhang, Aiguo Zhang, Dong Zhang, Xipeng Zhang, Lingqiang Zhang, Yonglong Zhang, Haonan Zhang, Chengyu Zhang, Xutong Zhang, Cathy C Zhang, Zhao Zhang, Xinhan Zhang, Yulong Zhang, Guowei Zhang, Yi-Min Zhang, Lizhi Zhang, Licheng Zhang, Chunhai Zhang, Rui Long Zhang, Junwei Zhang, Zhao-Ming Zhang, Lianqin Zhang, Yiyao Zhang, X Zhang, Caiyi Zhang, Xiangwu Zhang, Haoxing Zhang, Ge Zhang, Shi-Qian Zhang, Ang Zhang, Zhi-Jun Zhang, Tao Zhang, Guofang Zhang, Yinzhi Zhang, Hu Zhang, Zhuzhen Zhang, Zewei Zhang, Qingqing Zhang, Liyi Zhang, S Y Zhang, Junjing Zhang, Yongjuan Zhang, Chao-Hua Zhang, Mingyu Zhang, Kaiyi Zhang, Xuelong Zhang, Juntai Zhang, Shanxiang Zhang, Liyuan Zhang, Siyuan Zhang, Ya-Long Zhang, Mingfa Zhang, Yashuo Zhang, Chengbo Zhang, Ziqi Zhang, Jianping Zhang, Chenmin Zhang, Juliang Zhang, Xingong Zhang, Kailing Zhang, Hengrui Zhang, Yachen Zhang, Changlong Zhang, Mo-Ruo Zhang, Hanyin Zhang, Jianyong Zhang, Boxiang Zhang, Jiangyan Zhang, Mingjiong Zhang, Guan-Yan Zhang, Mingming Zhang, Meng-Ying Zhang, Zhengfen Zhang, Gui-Ping Zhang, John Z H Zhang, Hai-Liang Zhang, Z Zhang, Kunning Zhang, Fukang Zhang, Yaping Zhang, Guangyong Zhang, Shasha Zhang, Hongrui Zhang, Jianwu Zhang, Shou-Peng Zhang, Nasha Zhang, Huiqing Zhang, Chuanxin Zhang, Ke Zhang, Anqi Zhang, Haomin Zhang, Yuanping Zhang, Mengmin Zhang, Junsheng Zhang, Xinmin Zhang, Enming Zhang, Chen-Yang Zhang, Qian Jun Zhang, Guo-Wei Zhang, Zhongqi Zhang, Yawei Zhang, Yang Zhang, Yueqi Zhang, Haitao Zhang, Zhen-Shan Zhang, Wencheng Zhang, Ai Zhang, Yuetong Zhang, Jinzhou Zhang, Guo-Fang Zhang, Jingmei Zhang, Fengxu Zhang, Lei Zhang, Quan Zhang, Zhenqiang Zhang, Shengchi Zhang, Shuer Zhang, Haiyang Zhang, Xiuzhen Zhang, Chenfei Zhang, Heping Zhang, Pingmei Zhang, Yichi Zhang, Junxing Zhang, Kainan Zhang, Long Zhang, Joyce Zhang, Cheng-Lin Zhang, Zhen-Dong Zhang, Fei-Ran Zhang, Tongran Zhang, F Zhang, Hongtao Zhang, Haijiao Zhang, Dongmei Zhang, Yuzhou Zhang, Zhiming Zhang, Shuangjie Zhang, Fuquan Zhang, M X Zhang, Chengkai Zhang, Chengshi Zhang, Luyun Zhang, Jinlong Zhang, Yanxia Zhang, Xiong Zhang, Luning Zhang, Jiayu Zhang, Zuoyi Zhang, H L Zhang, Pei-Zhuo Zhang, Geng Zhang, Caiying Zhang, Qifan Zhang, Wenya Zhang, Xiao-yan Zhang, Lijie Zhang, Fengwei Zhang, Yanhong Zhang, Leo H Zhang, Yongjiu Zhang, Jiachen Zhang, Jianmin Zhang, Zhaomin Zhang, Lechi Zhang, Bangzhou Zhang, Hongxia Zhang, Xuehui Zhang, Zhenglang Zhang, Qiyong Zhang, M M Zhang, Jianjun Zhang, Guangxin Zhang, Ninghan Zhang, Ruiqi Zhang, Jianduan Zhang, Yi-Ge Zhang, Qian-Qian Zhang, Pu-Hong Zhang, Meishan Zhang, Yun-Xiang Zhang, Lirong Zhang, Yan-Qing Zhang, Xiuwen Zhang, Yunhe Zhang, Shuxia Zhang, Kang Zhang, Yongping Zhang, Chen-Yan Zhang, Yihan Zhang, Yingmei Zhang, Jin-Yu Zhang, Xianhua Zhang, Xiao Zhang, Panpan Zhang, Haowen Zhang, Zhiqiang Zhang, Huili Zhang, Yushan Zhang, Yinzhuang Zhang, Zhiyan Zhang, Bingye Zhang, Ruihao Zhang, Kunyi Zhang, Lian-Lian Zhang, Jin-Jing Zhang, Yikai Zhang, Zhaohui Zhang, Hongxin Zhang, Leilei Zhang, Rong Zhang, Xiaonyun Zhang, Haotian Zhang, Chuankuo Zhang, Chong Zhang, Le-Le Zhang, Y Y Zhang, Chao Zhang, Hao-Chen Zhang, Yating Zhang, Jishui Zhang, Wenbo Zhang, Furen Zhang, Jinfan Zhang, Fen Zhang, Yajie Zhang, Chunxia Zhang, Xiu-Li Zhang, Tong-Cun Zhang, Tongxin Zhang, Le Zhang, Churen Zhang, Hongmei Zhang, Xin-Xin Zhang, Huiyuan Zhang, Yiqian Zhang, Aihua Zhang, Qingling Zhang, Yanman Zhang, Jianguang Zhang, Jiaying Zhang, Mingyang Zhang, Guangyuan Zhang, Xinping Zhang, Naixia Zhang, Yi-Hua Zhang, Xuebin Zhang, Tongxue Zhang, Jianshe Zhang, Chenyan Zhang, Yingying Zhang, Michael Zhang, Mengmeng Zhang, Fengshuo Zhang, Yi J Zhang, Cun Zhang, Xiuping Zhang, Shao Zhang, Dong-cui Zhang, Huijun Zhang, Yuan-Yuan Zhang, Chongguo Zhang, Huanxia Zhang, Niankai Zhang, Mengna Zhang, Lianjun Zhang, Anwei Zhang, Xiaoning Zhang, Huafeng Zhang, Xiao-Qi Zhang, Junmin Zhang, Jiecheng Zhang, Qi-Lei Zhang, Ruotian Zhang, Hejun Zhang, Yongsheng Zhang, Mengqi Zhang, Yuxin Zhang, Zengqiang Zhang, Lili Zhang, Ying Zhang, Yi-yi Zhang, Yanxiang Zhang, Hailin Zhang, Yi Ping Zhang, Zhongyang Zhang, Yunhai Zhang, Aimei Zhang, Sai Zhang, Ruixin Zhang, Naijin Zhang, Hanwen Zhang, Yanfei Zhang, Guangliang Zhang, Qihong Zhang, Kaitai Zhang, Xiao-Hua Zhang, Yanqiao Zhang, Xuan Zhang, Suyang Zhang, Jianchao Zhang, Rongcai Zhang, Weiping J Zhang, Chun-Lan Zhang, Duowen Zhang, Chenggang Zhang, Chao-Sheng Zhang, Xiangyang Zhang, Weizhou Zhang, Jianwen Zhang, Yan Zhang, Xijiang Zhang, Yi-Qi Zhang, Wanqi Zhang, Hengyuan Zhang, Zhewei Zhang, Haiwei Zhang, Guangqiong Zhang, Zhiyao Zhang, Ren Zhang, Mengdi Zhang, Shuangxin Zhang, Kan Zhang, Clarence K Zhang, Qishu Zhang, Jinyi Zhang, Tie-mei Zhang, Tuo Zhang, Runyun Zhang, Hongsen Zhang, Hong-Yu Zhang, Mingyuan Zhang, Jingmian Zhang, Lei-Sheng Zhang, Xinyue Zhang, Qingxue Zhang, Meng-Wen Zhang, YiJie Zhang, Xieyi Zhang, Guoxin Zhang, Xinling Zhang, Hengming Zhang, Jinquan Zhang, Zhangjin Zhang, Xi'an Zhang, Kejian Zhang, Liang-Rong Zhang, Baojun Zhang, Yanchao Zhang, Yan-Ling Zhang, Litao Zhang, Xia Zhang, Ruizhong Zhang, Tongwu Zhang, Lingling Zhang, Guicheng Zhang, Caihong Zhang, Yongyan Zhang, Guang-Xian Zhang, Q Y Zhang, Chris Zhiyi Zhang, Feng Zhang, Chuantao Zhang, Yanyi Zhang, Suzhen Zhang, Jimei Zhang, Shuo Zhang, Yue Zhang, W X Zhang, Xuefei Zhang, Haifeng Zhang, Xuehai Zhang, Richard Zhang, Qing-Hui Zhang, Runze Zhang, Chuchu Zhang, Minyue Zhang, Naiqi Zhang, Yong-Liang Zhang, Chang-Hua Zhang, Minying Zhang, Yuansheng Zhang, Maomao Zhang, Yixin Zhang, Hongyi Zhang, Qimin Zhang, Hongyuan Zhang, Quan-bin Zhang, Jianhui Zhang, Tingxue Zhang, Pili Zhang, Zhuohua Zhang, Yunfeng Zhang, Yanlin Zhang, X-T Zhang, Guofu Zhang, Yiren Zhang, Jingyu Zhang, Peiyi Zhang, S Z Zhang, Yajing Zhang, Juqing Zhang, Luzheng Zhang, Yuanzhuang Zhang, Kaihua Zhang, Ming-Liang Zhang, Weisen Zhang, Yupei Zhang, Luwen Zhang, Ruoxuan Zhang, Xiao Min Zhang, Yongxing Zhang, Muqing Zhang, Mingxue Zhang, Guolong Zhang, Jiquan Zhang, Wenjing Zhang, Ziyang Zhang, Changteng Zhang, Jieping Zhang, Jinglu Zhang, Honghe Zhang, Donna Zhang, Yandong Zhang, Chunjun Zhang, Fei Zhang, Jiajing Zhang, Xiaoming Zhang, Jingdan Zhang, Caiping Zhang, Mengzhao Zhang, Si Zhang, Jiankun Zhang, Boqing Zhang, Wang-Dong Zhang, Xindang Zhang, Jiahe Zhang, Qiannan Zhang, Zhibo Zhang, Zijing Zhang, Mei Zhang, Guiliang Zhang, Kaichuang Zhang, Dawei Zhang, Weihua Zhang, Yuhua Zhang, Xuezhi Zhang, Shu-Yang Zhang, Jun-Jie Zhang, Xin-Ye Zhang, Luoping Zhang, Yun Zhang, Jiayan Zhang, Yifan Zhang, Songying Zhang, Xinhua Zhang, Meng Zhang, Yani Zhang, Yuchao Zhang, Lijun Zhang, Zongwang Zhang, Pei Zhang, Peiqin Zhang, Guixiang Zhang, Ruiling Zhang, Liwen Zhang, Ming-Yu Zhang, Ziyu Zhang, Yanyu Zhang, Junping Zhang, Chu-Yue Zhang, Taoyuan Zhang, Lu-Pei Zhang, Junkai Zhang, Chunqing Zhang, S Zhang, Baohu Zhang, Songlin Zhang, Liu Zhang, H F Zhang, Ruixia Zhang, Zhi-Xin Zhang, Hongyan Zhang, Jingfa Zhang, Jing-Lve Zhang, Xiaochen Zhang, Xiangzheng Zhang, Jianbo Zhang, Yiliang Zhang, Yuanhui Zhang, Bo-Ya Zhang, Xiaofeng Zhang, Yanbing Zhang, K Zhang, Zhemei Zhang, Meixian Zhang, Hanqi Zhang, Fangmei Zhang, Mingyao Zhang, Fuxing Zhang, Mengxi Zhang, Yunjia Zhang, Lin Zhang, Weifeng Zhang, Guangji Zhang, Tian Zhang, Meiling Zhang, Xiaobao Zhang, Dongsheng Zhang, Luyao Zhang, Xiaopei Zhang, Zihan Zhang, Bing-Qi Zhang, Kui-ming Zhang, Yanru Zhang, Mingjie Zhang, Lupei Zhang, Junjie Zhang, Xiaocui Zhang, Yali Zhang, Yongheng Zhang, Guilin Zhang, Xiuse Zhang, Shu-Ming Zhang, Yuxia Zhang, Qiuting Zhang, Danning Zhang, Zhi-Jie Zhang, Siqi Zhang, Rongxu Zhang, Tingying Zhang, Claire Y Zhang, Mingxuan Zhang, Lianxin Zhang, Ding Zhang, Lichuan Zhang, Yuejuan Zhang, Dingkai Zhang, Li-Fen Zhang, Zhenyu Zhang, Yingna Zhang, Yuanhao Zhang, Linyou Zhang, Lintao Zhang, Shubing Zhang, Xufang Zhang, Lei-Lei Zhang, Zhi-Peng Zhang, Xiaomeng Zhang, Guoliang Zhang, Xujun Zhang, Ji Yao Zhang, Mengnan Zhang, Shenglan Zhang, Ningkun Zhang, Zhimin Zhang, Zhiwen Zhang, Jiming Zhang, Chuanfu Zhang, Yongwei Zhang, Mao Zhang, PeiFeng Zhang, Jia-Xuan Zhang, Shiyun Zhang, Genxi Zhang, Qingjiong Zhang, Duo Zhang, Qunyuan Zhang, Yan-Chun Zhang, Yongguo Zhang, Qi Zhang, Yaozhengtai Zhang, W G Zhang, Yu-Bo Zhang, Bowen Zhang, Wangping Zhang, Xinhe Zhang, Jinrui Zhang, Yuhan Zhang, Yangqianwen Zhang, Miao-Miao Zhang, Ya-Juan Zhang, Rui Xue Zhang, Dachuan Zhang, Ji Zhang, Chunxiao Zhang, Yaming Zhang, Xinrui Zhang, Bochuan Zhang, Yurou Zhang, Zhuoya Zhang, Ming-Zhu Zhang, Song-Yang Zhang, Ruiyang Zhang, Yang-Yang Zhang, Jinjin Zhang, Xinhong Zhang, Guijie Zhang, Jifa Zhang, Hai Zhang, Dong-Mei Zhang, Jian-Ping Zhang, Zi-Jian Zhang, Xixun Zhang, Haiying Zhang, Guoming Zhang, Jianfa Zhang, Zhi-Qing Zhang, Zhe Zhang, Qilong Zhang, Yingyi Zhang, Xincheng Zhang, Shiquan Zhang, Junhan Zhang, Hai-Ying Zhang, Xiuyun Zhang, Tiefeng Zhang, Chaoyue Zhang, Hailian Zhang, Yunqi Zhang, Zhanjie Zhang, Mei-Ya Zhang, Da-Qi Zhang, Yiheng Zhang, Qingjun Zhang, Wenting Zhang, Ruoshi Zhang, Xiaoyu Zhang, Chenhui Zhang, Baorong Zhang, Yong-Guo Zhang, Xuemin Zhang, Xu Dong Zhang, Jun-Xiao Zhang, Jingshuang Zhang, Zhi-Chang Zhang, Qihao Zhang, Tonghui Zhang, Guanglei Zhang, Jia Zhang, Shiyu Zhang, Hua Zhang, Xue-Ping Zhang, Xiao Bin Zhang, Chunhong Zhang, Huayong Zhang, Jixia Zhang, Tianxiao Zhang, Daoyong Zhang, Xinlei Zhang, Yilin Zhang, Rulin Zhang, Chi Zhang, Cuijuan Zhang, Shanshan Zhang, ChaoDong Zhang, Shaohua Zhang, Quanqi Zhang, Tianxi Zhang, Xinan Zhang, Q-D Zhang, Bingkun Zhang, Haiyue Zhang, Lihua Zhang, Simin Zhang, L Zhang, Nisi Zhang, Guanghui Zhang, Chen-Song Zhang, Rugang Zhang, H-F Zhang, Qi-Ai Zhang, Jiangtao Zhang, Cai Zhang, Youying Zhang, Guimin Zhang, Haopeng Zhang, Wanyu Zhang, Guo-Xiong Zhang, Wenru Zhang, Guoqiang Zhang, Xiuqing Zhang, K Y Zhang, Xinbo Zhang, Weilong Zhang, Tongcun Zhang, Ranran Zhang, Qing-Zhu Zhang, Wanying Zhang, Junpei Zhang, Yonghong Zhang, Hailou Zhang, Qingna Zhang, Tiehua Zhang, Hai-Gang Zhang, Shuwei Zhang, Jiahai Zhang, Hong-Sheng Zhang, Mo Zhang, Mengren Zhang, Renshuai Zhang, Xiao-Jun Zhang, Xinxin Zhang, Pengfei Zhang, Jin-Man Zhang, Shikai Zhang, Wenchao Zhang, Jianxin Zhang, Junzhi Zhang, Jiangang Zhang, Qian ZHANG, Peilin Zhang, Pengpeng Zhang, Daxin Zhang, Shuaishuai Zhang, Kai-Jie Zhang, Ruizhi Zhang, Yutong Zhang, Lanlan Zhang, Huijie Zhang, Jianxia Zhang, Yuxi Zhang, Dong-Hui Zhang, Hai-Bo Zhang, Zhonglin Zhang, Mengjie Zhang, Suya Zhang, Jinwei Zhang, Genglin Zhang, Yun-Feng Zhang, Yubin Zhang, Nong Zhang, Joe Z Zhang, Yupeng Zhang, De-Jun Zhang, Ganlin Zhang, Yanmin Zhang, Jin-Ge Zhang, Qingchuan Zhang, ShiSong Zhang, Yichen Zhang, Yafang Zhang, Lian Zhang, Liwei Zhang, Xuelian Zhang, Xiaowan Zhang, Yeqian Zhang, Zaifeng Zhang, Zhehua Zhang, Jianing Zhang, Chen Zhang, Jiejie Zhang, Zhanhao Zhang, Donghui Zhang, Dinghu Zhang, Guochao Zhang, Guohui Zhang, Yingchao Zhang, Zikai Zhang, Danfeng Zhang, Hongmin Zhang, Jinming Zhang, Liying Zhang, Yu Zhang, Liguo Zhang, Yujing Zhang, Jun-Xiu Zhang, Yuanxi Zhang, Peichun Zhang, Yangyu Zhang, Xue-Qing Zhang, Fu-Ping Zhang, Terry Jianguo Zhang, Hongyou Zhang, Xuejiao Zhang, Zhijiao Zhang, Wenhong Zhang, Kezhong Zhang, Yihang Zhang, Qianhui Zhang, Sizhong Zhang, Mingchang Zhang, Shulong Zhang, Kaiming Zhang, Haiming Zhang, Bo-Heng Zhang, Yingzi Zhang, Chunxiang Zhang, Xiayin Zhang, Yumeng Zhang, Hongrong Zhang, Junyu Zhang, Peng-Fei Zhang, Yuanyuan Zhang, Ci Zhang, Zhanming Zhang, Yuanxiang Zhang, Hao-Yu Zhang, Jingzhe Zhang, Junxia Zhang, Xiaogang Zhang, Bingbing Zhang, Liyin Zhang, Shuang Zhang, Cuilin Zhang, Yi-Hang Zhang, Lichao Zhang, Chengnan Zhang, Chengcheng Zhang, Qianru Zhang, Bei Zhang, Manjin Zhang, Mengni Zhang, Hongyang Zhang, Yimin Zhang, Bojian Zhang, Junhui Zhang, Dianzheng Zhang, Chaoqiang Zhang, Huiyu Zhang, Wenjia Zhang, Xin-Yuan Zhang, Yun-Lin Zhang, Yangyang Zhang, Ning-Ping Zhang, Cheng-Wei Zhang, Yaoyao Zhang, Wenguang Zhang, Wei-Jia Zhang, Qiangsheng Zhang, Hongbing Zhang, Xuehong Zhang, Xin Zhang, Xueluo Zhang, Lining Zhang, Fugui Zhang, Hongzhou Zhang, Xinquan Zhang, Huhan Zhang, Gaoxin Zhang, Zhen-lin Zhang, Gong Zhang, Weiling Zhang, Yu-Qiu Zhang, Yulin Zhang, Zhengyun Zhang, Ting Ting Zhang, Xiaofan Zhang, Li Zhang, Zhiyong Zhang, Jieqiong Zhang, Tianlong Zhang, Yingang Zhang, Tianyang Zhang, Yahua Zhang, Weikang Zhang, Zhu-Qin Zhang, Junlong Zhang, Jingwei Zhang, Zenglei Zhang, Chuankuan Zhang, Liangliang Zhang, Guo-Fu Zhang, Wangang Zhang, Peng Zhang, Yaguang Zhang, Xinruo Zhang, Xu-Jun Zhang, Zhihong Zhang, Tianye Zhang, Zhiqiao Zhang, Zhuorong Zhang, Fa Zhang, Min Zhang, Ru Zhang, Yifang Zhang, Jin-Ru Zhang, Yibo Zhang, DanDan Zhang, M H Zhang, Shengnan Zhang, Jiayuan Zhang, Bao-Rong Zhang, Chengxiong Zhang, Ke-Wen Zhang, Zixiong Zhang, Q Zhang, Fred Zhang, G-Y Zhang, Ting-Ting Zhang, Shengli Zhang, Jie Zhang, Nan Yang Zhang, Zhijun Zhang, Bangke Zhang, Hui Z Zhang, Dekai Zhang, Xiaojia Zhang, Jiao Zhang, He Zhang, Bofang Zhang, Jiayi Zhang, Xianxian Zhang, Tianliang Zhang, Zhongheng Zhang, Shiyao Zhang, Xiaojing Zhang, Jinglan Zhang, Minfang Zhang, Xiujie Zhang, Xinhai Zhang, Wenkai Zhang, Feifei Zhang, Chunyan Zhang, Hong-Zhen Zhang, Tingting Zhang, Shuya Zhang, Chao-Yang Zhang, Shang Zhang, Jingrong Zhang, Zheyuan Zhang, Wen-Xin Zhang, Xueying Zhang, W Zhang, Jiangmei Zhang, Shuai-Nan Zhang, Shiping Zhang, Kai Zhang, Y L Zhang, Zhuo-Ya Zhang, Ling-Yu Zhang, Huan-Tian Zhang, Ying E Zhang, Mengliang Zhang, Jingying Zhang, Jingsong Zhang, Yunsheng Zhang, Xuxiang Zhang, Mengyuan Zhang, Xiang Yang Zhang, Hua-Min Zhang, Chenguang Zhang, Ziyue Zhang, Bohao Zhang, Xiulan Zhang, Xiaorong Zhang, Peng-Cheng Zhang, Famin Zhang, Hao Zhang, Yong-hong Zhang, Xiangbin Zhang, Weichen Zhang, Yuheng Zhang, Xu Zhang, Jiang Zhang, Xinjiang Zhang, Chen-Qi Zhang, Lingyan Zhang, Beiyu Zhang, Haipeng Zhang, Dongxin Zhang, Yuzhu Zhang, Cong Zhang, Haihong Zhang, Yanhua Zhang, Jitai Zhang, Shaozhen Zhang, Xinfu Zhang, Pengcheng Zhang, Ruth Zhang, Guangping Zhang, Ben Zhang, Run Zhang, Chan-na Zhang, Jiawen Zhang, Wuhu Zhang, Minhong Zhang, Jiyang Zhang, Dingyi Zhang, Guangxian Zhang, Haolin Zhang, Pei-Weng Zhang, Shu-Zhen Zhang, Yiqing Zhang, Xiu Qi Zhang, Jianguo Zhang, Zhixin Zhang, M Zhang, Muzi Zhang, Huayu Zhang, Jianwei Zhang, Xunming Zhang, Da-Wei Zhang, L F Zhang, Claire Zhang, Xiping Zhang, Yanan Zhang, Z-K Zhang, Jun-ying Zhang, Kaituo Zhang, Peijing Zhang, MeiLu Zhang, Zizhen Zhang, Fengxi Zhang, Yi-Yue Zhang, Melissa C Zhang, Bin Zhang, Xuebao Zhang, Dongjian Zhang, Sophia L Zhang, Anying Zhang, Siyue Zhang, Deyin Zhang, Yuehong Zhang, Lan Zhang, Xiao-Lei Zhang, Dongjie Zhang, Hailei Zhang, Jingting Zhang, Leli Zhang, Lichen Zhang, Haozheng Zhang, Shenqian Zhang, Yin-Hong Zhang, Xuejun C Zhang, Qiu Zhang, Kaiwen Zhang, Joshua Zhang, Fushun Zhang, Hailong Zhang, Haiyan Zhang, Chengfei Zhang, Melody Zhang, Xiaojian Zhang, Shangxiong Zhang, Zhijian Zhang, Zhishuai Zhang, Qingchao Zhang, Zhiwang Zhang, Liming Zhang, Baoren Zhang, Xiuyue Zhang, Huajia Zhang, Yaxin Zhang, Sibin Zhang, Anan Zhang, Linyuan Zhang, Mingai Zhang, Muxin Zhang, Zhongxu Zhang, Xinlin Zhang, Nana Zhang, Xiaoying Zhang, Guodong Zhang, Hong-Xing Zhang, Shaofei Zhang, Fomin Zhang, Jianhai Zhang, Xindong Zhang, Zhenfeng Zhang, Mei-Fang Zhang, Wanjiang Zhang, Naisheng Zhang, Xiaojun Zhang, Meixia Zhang, Hui Zhang, Dong-Wei Zhang, Qiuyang Zhang, Ming-Jun Zhang, Fangting Zhang, Jingxi Zhang, Ruixue Zhang, Mingyue Zhang, Zongxiang Zhang, Yingqi Zhang, Jingqi Zhang, Tong Xuan Zhang, Hanrui Zhang, You-Zhi Zhang, Wendi Zhang, Yunxia Zhang, Chuting Zhang, Xueguang Zhang, Hongliang Zhang, Haojie Zhang, Yanli Zhang, Huanmin Zhang, Zeng Zhang, H Y Zhang, Wancong Zhang, Yi-Xuan Zhang, Xu-Chao Zhang, Mei-Ling Zhang, Xiaoling Zhang, Qiang-Sheng Zhang, Cai-Ling Zhang, Chang Zhang, Xiaotun Zhang, Tianyi Zhang, Sainan Zhang, Guili Zhang, Weibo Zhang, Fangyuan Zhang, Yazhuo Zhang, Zeyuan Zhang, Xiujun Zhang, Stephen X Zhang, Zhaoxue Zhang, Ting Zhang, Rui-Ning Zhang, Xiaoxue Zhang, Hainan Zhang, Zhiye Zhang, Lanfang Zhang, Lingna Zhang, Weimin Zhang, Qingyue Zhang, Limei Zhang, Yuan-Wei Zhang, Haisan Zhang, Yinghui Zhang, Yujia Zhang, Ming-Ming Zhang, Shaoyang Zhang, Jing-Fa Zhang, Hui-Jun Zhang, Jian-Xu Zhang, Yunhui Zhang, Zhiyuan Zhang, Junhua Zhang, Qunfeng Zhang, Boping Zhang, Yaoyang Zhang, Mengxue Zhang, Yinhao Zhang, Hongying Zhang, Jingyue Zhang, Quanfu Zhang, Menghui Zhang, Xueqian Zhang, Keyong Zhang, Zian Zhang, Ning Zhang, Lishuang Zhang, Congen Zhang, Shurui Zhang, Shengding Zhang, Yuping Zhang, Mengyue Zhang, Yuyu Zhang, Ying-Qian Zhang, Huiru Zhang, Jingli Zhang, Wentao Zhang, Haoran Zhang, Sheng-Qiang Zhang, Zhikun Zhang, Yiwen Zhang, Daguo Zhang, R Zhang, June Zhang, Changjing Zhang, Yanna Zhang, Lingjie Zhang, Shuijun Zhang, Zhaohuai Zhang, Xudan Zhang, Jing-Qiu Zhang, Jieying Zhang, Zhihan Zhang, Jiasheng Zhang, Ningzhen Zhang, Menghao Zhang, Xin-Yan Zhang, Yiwei Zhang, Stanley Weihua Zhang, Hongjin Zhang, Shi-Yao Zhang, Zengfu Zhang, Yongfang Zhang, Hongzhong Zhang, Dongdong Zhang, Shuyang Zhang, Qiao-Xia Zhang, Meidi Zhang, Yanfen Zhang, Xinwei Zhang, An-Qi Zhang, Zhaotian Zhang, Yuyan Zhang, Yuwei Zhang, Yusen Zhang, Yin Jiang Zhang, Youti Zhang, Yingli Zhang, Yumei Zhang, Wenxiang Zhang, Yanfeng Zhang, Benyou Zhang, Tianxin Zhang, Duoduo Zhang, Xiao-Chang Zhang, Wei-Na Zhang, Jin Zhang, Ruiying Zhang, Liyu Zhang, Hongxing Zhang, Sen Zhang, Xuting Zhang, Qianjun Zhang, Yunfan Zhang, X-Y Zhang, Zu-Xuan Zhang, Yanbin Zhang, Xiao-Ling Zhang, Xinjun Zhang, An Zhang, Yanting Zhang, Shi-Han Zhang, Nan Zhang, Shaochun Zhang, Shi-Jie Zhang, Qiong Zhang, Xinyao Zhang, Yadong Zhang, Shushan Zhang, Jinying Zhang, Xiaotian Zhang, Jinhui Zhang, Shucong Zhang, Qiwei Zhang, Weiyu Zhang, X Y Zhang, Wenxi Zhang, Gang Zhang, Shan-Shan Zhang, Weilin Zhang, Chenglong Zhang, Andrew Zhang, Jingru Zhang, Zhaoqi Zhang, Yafeng Zhang, Bi-Tian Zhang, Liqian Zhang, Hefang Zhang, Meimei Zhang, Gan Zhang, Jinyu Zhang, Boxi Zhang, Jinghui Zhang, Zhengliang Zhang, Xiao-Xuan Zhang, Deyi Zhang, Chaoyang Zhang, Kunshan Zhang, Chen-Xi Zhang, Wenxin Zhang, Zhenzhu Zhang, Zaijun Zhang, Liyan Zhang, M J Zhang, Qiang Zhang, Zhentao Zhang, Wenzhong Zhang, Chenxi Zhang, Bo Zhang, Jianling Zhang, Vita Zhang, Ji-Yuan Zhang, Yonglian Zhang, Guorui Zhang, Junling Zhang, Xiao Yu Cindy Zhang, Haihua Zhang, Wenyi Zhang, Yidan Zhang, Tiejun Zhang, Yanjiao Zhang, Renhe Zhang, Ximei Zhang, Yiting Zhang, Menglu Zhang, Xiao-Chong Zhang, Jia-Bao Zhang, Shupeng Zhang, Ruilin Zhang, Donghua Zhang, Shiti Zhang, Zilu Zhang, Tiane Zhang, Xiang Zhang, Tongtong Zhang, Shengming Zhang, Y Zhang, Yu-Yu Zhang, Zengdi Zhang, Laihong Zhang, Ruxuan Zhang, Danhua Zhang, Youjin Zhang, Yuke Zhang, Sheng-Xiao Zhang, Zhongxin Zhang, Yuting Zhang, Shihan Zhang, Jinsong Zhang, Xiaolei Zhang, Yu Chen Zhang, Yefan Zhang, Jianmei Zhang, J-Y Zhang, Minghao Zhang, Yafei Zhang, Huawen Zhang, Junxiao Zhang, Jinsu Zhang, Yuxuan Zhang, Zhen Zhang, Cheng Cheng Zhang, Jingyao Zhang, Yi-Chi Zhang, Dongyan Zhang, Haoyuan Zhang, Yiyi Zhang, Yi-Ming Zhang, J Zhang, Mingdi Zhang, Huiping Zhang, Shuchen Zhang, Tongfu Zhang, Yaling Zhang, Huibing Zhang, Hugang Zhang, Danyang Zhang, Yuhao Zhang, Xibo Zhang, Keyi Zhang, Xiaozhe Zhang, Hongjia Zhang, Chenrui Zhang, Chaobao Zhang, Dan Zhang, Changhui Zhang, Wei-Yi Zhang, Simeng Zhang, Lianfeng Zhang, Qingtian Zhang, Xiuxing Zhang, Yongguang Zhang, Changjiang Zhang, Jinxiu Zhang, Xiling Zhang, Zhan-Xiong Zhang, Tianpeng Zhang, Mingzhao Zhang, Dan-Dan Zhang, Renbo Zhang, Yujin Zhang, Xiaochun Zhang, Xinjing Zhang, Yufang Zhang, Zhongwei Zhang, Lina Zhang, Enhui Zhang, Ningning Zhang, Yunfei Zhang, Jiqiang Zhang, Ping Zhang, Jing-Bo Zhang, Zeming Zhang, Jicai Zhang, Yikun Zhang, Fuyang Zhang, Yuanchao Zhang, Sihe Zhang, Haixia Zhang, Zaiqi Zhang, Shilei Zhang, Yayong Zhang, Wenlong Zhang, Zhiguo Zhang, Jiajia Zhang, Hansi Zhang, Yerui Zhang, Zhong-Yuan Zhang, Xiaoqing Zhang, Yuchi Zhang, Yu-Qi Zhang, Shun-Bo Zhang, Xueqin Zhang, Tian-Yu Zhang, Yanping Zhang, Fengxia Zhang, Tengfang Zhang, Shiyi Zhang, Li-ping Zhang, Changquan Zhang, Rusi Zhang, Xueqia Zhang, Yimei Zhang, Ziyin Zhang, Chungu Zhang, Yufeng Zhang, Lingyu Zhang, Sisi Zhang, Changhua Zhang, Xue Zhang, Wen Zhang, Changwang Zhang, XiaoYi Zhang, Keyu Zhang, Runxiang Zhang, C D Zhang, Xi-Feng Zhang, Dadong Zhang, XueWu Zhang, Ziguo Zhang, Zhuqing Zhang, Shuhong Zhang, Di Zhang, J B Zhang, Ningzhi Zhang, Yiwan Zhang, Jennifer Y Zhang, Jiaxin Zhang, Peiwen Zhang, Hanchao Zhang, Tao-Lan Zhang, Sujiang Zhang, Chenyi Zhang, Yizhi Zhang, H D Zhang, Xu-Mei Zhang, Longzhen Zhang, Shiwu Zhang, Longlong Zhang, Pumin Zhang, Fuhan Zhang, Yingjie Zhang, Yong Zhang, H P Zhang, Feixue Zhang, Yuyuan Zhang, Kai-Qiang Zhang, Ye Zhang, Yujiao Zhang, Ruiqian Zhang, Hanxu Zhang, Zhengyu Zhang, Xiuyin Zhang, Tongshuo Zhang, Aijun Zhang, Lanjun Zhang, Mi Zhang, Gu Zhang, JingZi Zhang, Sheng Zhang, Man Zhang, Xinqiao Zhang, Ruikun Zhang, Hai-Feng Zhang, Zongping Zhang, Da Zhang, Xingyu Zhang, Shuanglu Zhang, Shun Zhang, Haoyu Zhang, Chuanyong Zhang, Rey M Zhang, Dongying Zhang, Yunqiang Zhang, Huifang Zhang, Shengye Zhang, Mingxiang Zhang, Wenjuan Zhang, Pinggen Zhang, John H Zhang, Chong-Hui Zhang, Ran Zhang, Minghui Zhang, Wencong Zhang, Ruiyan Zhang, Tianfeng Zhang, Yihao Zhang, Nu Zhang, Shenqi Zhang, Yao-Hua Zhang, Ai-Min Zhang, Shaozhao Zhang, Zhao-Huan Zhang, Jiacheng Zhang, Shao-Qi Zhang, Tian-Guang Zhang, Jibin Zhang, Chenjie Zhang, Meiwei Zhang, Sixue Zhang, Yongchang Zhang, Ying-Lin Zhang, Hongju Zhang, Xianhong Zhang, Ming-Rong Zhang, Benjian Zhang, Binbin Zhang, Meiyu Zhang, Shuwan Zhang, Weizheng Zhang, Yuyanan Zhang, Zhen-Jie Zhang, Hong Zhang, Qian-Wen Zhang, Chuan Zhang, Zhijing Zhang, Xiaoxin Zhang, Yexiang Zhang, Yonghui Zhang, Mingying Zhang, Qin Zhang, Chengrui Zhang, Zijiao Zhang, Xueli Zhang, Yizhe Zhang, Qingyun Zhang, Nannan Zhang, Shuyuan Zhang, Linan Zhang, Jifeng Zhang, Qilu Zhang, Xudong Zhang, Zhanyi Zhang, Shenglei Zhang, Xueping Zhang, Rongguang Zhang, Bing Zhang, Y H Zhang, Yu-Fei Zhang, Zhaocong Zhang, Haibo Zhang, Guojun Zhang, Na Zhang, Lijian Zhang, Huixin Zhang, Yuanzhen Zhang, Yaxuan Zhang, Liangdong Zhang, Donglei Zhang, Huilin Zhang, Shanhong Zhang, Xinyu Zhang, Jianming Zhang, Jiehao Zhang, Weiqin Zhang, Huizhen Zhang, Xian-Li Zhang, Libo Zhang, Guomin Zhang, Jianglin Zhang, Yu-Jing Zhang, Fuming Zhang, Guangye Zhang, Zhezhe Zhang, Qingshuang Zhang, Xianglian Zhang, Saidan Zhang, Mei-Qing Zhang, Shunfen Zhang, Xueming Zhang, Ling Zhang, Hanyu Zhang, Bao-Fu Zhang, XiHe Zhang, Rongxin Zhang, Karen Zhang, Liang Zhang, Junqing Zhang, Yuanqiang Zhang, Pengbo Zhang, H Zhang, Jingdong Zhang, Wenxue Zhang, Xiaocong Zhang, Jia-Su Zhang, Ya-Li Zhang, Haisen Zhang, Meijia Zhang, Jingliang Zhang, Qianqian Zhang, Yonggen Zhang, Shunming Zhang, Aileen Zhang, Hanwang Zhang, Zhihao Zhang, Zhi-Shuai Zhang, Xinlong Zhang, Jintao Zhang, Jingxue Zhang, Yinci Zhang, L-S Zhang, Ailin Zhang, Shuli Zhang, Zhizhong Zhang, Kewen Zhang, Jishou Zhang, Lusha Zhang, Guosen Zhang, Qinghong Zhang, Mengqiu Zhang, Shichao Zhang, Suming Zhang, Chengxiang Zhang, Linlin Zhang, Zhengbin Zhang, Mianzhi Zhang, Ziyi Zhang, En Zhang, Zhiqian Zhang, Chonghe Zhang, Dong-Ying Zhang, Hong-Jie Zhang, Bingqiang Zhang, Jingyi Zhang, Jianan Zhang, Yuying Zhang, Chunling Zhang, Jianbin Zhang, Kaige Zhang, Ying-Jun Zhang, Yue-Bo Zhang, Zicheng Zhang, Cuiyu Zhang, Jiuwei Zhang, Zishuo Zhang, Yihui Zhang, Jia-Si Zhang, Chenlin Zhang, Deqiang Zhang, Zhengxiang Zhang, Luo Zhang, Lilei Zhang, Tianyu Zhang, Keshan Zhang, Qunchen Zhang, Xinlu Zhang, Yuqing Zhang, Guisen Zhang, Mengguo Zhang, N Zhang, Zhi-Shuo Zhang, Lv-Lang Zhang, Lucia Zhang, Hongjuan Zhang, Quanquan Zhang, Shuyi Zhang, Chuyue Zhang, Junfeng Zhang, Hai-Man Zhang, Chun Zhang, Lihong Zhang, Kui Zhang, Hongcai Zhang, Zhuqin Zhang, Yongliang Zhang, Yueru Zhang, Zufa Zhang, Xinye Zhang, Zhong-Bai Zhang, Kejun Zhang, Huimao Zhang, Ruo-Xin Zhang, Pengwei Zhang, Xinfeng Zhang, Zhaohuan Zhang, Shu-Fan Zhang, Lukuan Zhang, Xiu-Peng Zhang, Zhaohua Zhang, Yiping Zhang, Chengwu Zhang, Hang Zhang, Yao Zhang, Wenming Zhang, Luanluan Zhang, Haicheng Zhang, Yanming Zhang, Yajun Zhang, Xingen Zhang, Honglei Zhang, Xingyuan Zhang, Sumei Zhang, Wenyuan Zhang, Rong-Kai Zhang, Guixia Zhang, Jianliang Zhang, QiYue Zhang, Xinbao Zhang, Qinghua Zhang, Jianting Zhang, Xingxing Zhang, Xueyi Zhang, Yi-Wei Zhang, Weijian Zhang, Detao Zhang, Shaofeng Zhang, Yina Zhang, Yu-Hui Zhang, Zhou Zhang, Bo-Fei Zhang, Bixia Zhang, Yuyang Zhang, Chuanmao Zhang, Hongya Zhang, Shuai Zhang, XiaoPing Zhang, Huabing Zhang, Yili Zhang, Dianbo Zhang, Huiying Zhang, Qiuxia Zhang, Xiyu Zhang, Chenyang Zhang, Wanting Zhang, Ni Zhang, Rongying Zhang, Zebang Zhang, Fengshi Zhang, Wannian Zhang, Xiao-Yong Zhang, Xue-Qin Zhang, Chunli Zhang, Ti Zhang, Lifan Zhang, Guanqun Zhang, Erchen Zhang, Chenhong Zhang, Xiaopo Zhang, Dingyu Zhang, Lie Zhang, Mingfeng Zhang, Lu-Yang Zhang, M Q Zhang, Yvonne Zhang, Sheng-Hong Zhang, Li-Jie Zhang, Huanqing Zhang, Shen Zhang, Jun Zhang, Qiguo Zhang, Teng Zhang, Haikuo Zhang, Gary Zhang, Ziping Zhang, Bei-Bei Zhang, Changlin Zhang, Aimin Zhang, Xiao-Feng Zhang, Zepeng Zhang, Zixuan Zhang, Yuan Zhang, Xiaolong Zhang, Junpeng Zhang, Boya Zhang, Fuyuan Zhang, Xiao-Qian Zhang, Zongquan Zhang, Hongyun Zhang, Yaqi Zhang, Tinghu Zhang, Xingyi Zhang, Kejia Zhang, Qiaofang Zhang, Zhicong Zhang, Xiao-Lin Zhang, Gumuyang Zhang, Xingang Zhang, Honghong Zhang, Haoyue Zhang, Shuran Zhang, Hai-Han Zhang, Yihong Zhang, Zhishang Zhang, Qing Zhang, Wenhua Zhang, Chenlu Zhang, G Zhang, Yalan Zhang, Xiaodan Zhang, Geyang Zhang, Lianbo Zhang, Aixiang Zhang, Yujie Zhang, Xiushan Zhang, Xuening Zhang, Xiao-Wei Zhang, Lulu Zhang, Linda S Zhang, Jue Zhang, Linli Zhang, Hongting Zhang, Mengjia Zhang, Huayang Zhang, Cuihua Zhang, Liuwei Zhang, Jing Jing Zhang, Wen-Jing Zhang, Shimao Zhang, Xuewei Zhang, Jingning Zhang, Wanjun Zhang, Yaoxin Zhang, Mingzhen Zhang, Jingxuan Zhang, Mei-Zhen Zhang, Lin-Jie Zhang, Yongfeng Zhang, Lida Zhang, Xuemei Zhang, Ziheng Zhang, Sha Zhang, Jin-Rui Zhang, Wenhao Zhang, Yue-Ming Zhang, Ping-Fan Zhang, Wenjun Zhang, Yutian Zhang, Jiankang Zhang, Xiaobo Zhang, Xian-Man Zhang, Xilin Zhang, Chun-Mei Zhang, Junyan Zhang, Xiu-Juan Zhang, Bingxue Zhang, Liyun Zhang, Dingdong Zhang, Shuye Zhang, Zilong Zhang, Lijuan Zhang, Fang Zhang, Yunli Zhang, Yonggang Zhang, Jinze Zhang, Ling Xia Zhang, Xiaochang Zhang, Chenzi Zhang, Zi-Feng Zhang, Zai-Rong Zhang, Xueting Zhang, Liping Zhang, Xiupeng Zhang, Yanling Zhang, Qiaoxuan Zhang, Donna D Zhang, Zhenhua Zhang, Bohong Zhang, Wenhui Zhang, Shouyue Zhang, Chunguang Zhang, Jingwen Zhang, Jiuxuan Zhang, Xinke Zhang, David Y Zhang, Qun Zhang, Qingyu Zhang, Jian Zhang, Kejin Zhang, Shenglai Zhang, Jiupan Zhang, Xiaosheng Zhang, Mengzhen Zhang, Jinjing Zhang, Youwen Zhang, Yu-Jie Zhang, Alex R Zhang, Yanyan Zhang, Igor Ying Zhang, Kangjun Zhang, Guihua Zhang, Shaojun Zhang, Jianqiong Zhang, Xuexi Zhang, Sifan Zhang, Shuyan Zhang, Xin-Hui Zhang, Xiaobiao Zhang, Junyi Zhang, Susie Zhang, Fubo Zhang, Pan-Pan Zhang, Zhiyu Zhang, Taojun Zhang, Dongfeng Zhang, Dong-juan Zhang, Yi-Feng Zhang, Pan Zhang, Dapeng Zhang, Yukun Zhang, Yingnan Zhang, Yi-Wen Zhang, Tiantian Zhang, Weiwei Zhang, Yuanyi Zhang, Xiaotian Michelle Zhang, Bikui Zhang, Zhihua Zhang, Yadi Zhang, Xingan Zhang, Rui Zhang, Kang-Ling Zhang, Yiguo Zhang, Hongwu Zhang, Hua-Xiong Zhang, Wenqian Zhang, Caishi Zhang, Nan-Nan Zhang, Zhong Zhang, Jingxiao Zhang, Xiaoqi Zhang, Limin Zhang, Zhiyi Zhang, Xiongjun Zhang, Yunqing Zhang, Zhenhao Zhang, Xiuqin Zhang, Zhi Zhang, Chunying Zhang, Fengqing Zhang, Zhanjun Zhang, Zhengxing Zhang, Lixing Zhang, Haojun Zhang, Licui Zhang, Lele Zhang, YiPei Zhang, Shining Zhang, Xiaoyun Zhang, Yannan Zhang, Weili Zhang, Yitian Zhang, Hongfeng Zhang, Yanghui Zhang, Zhifei Zhang, Guo-Liang Zhang, Xiaoxian Zhang, Jiawei Zhang, Jimmy Zhang, Xingxu Zhang, Haohao Zhang, Leiying Zhang, Jihang Zhang, Hui-Wen Zhang, Yongbao Zhang, Ruohan Zhang, Zhuojun Zhang, Rui-fang Zhang, Youmin Zhang, Jing-Zhan Zhang, Dong-qiang Zhang, Yameng Zhang, Xuewen Zhang, Zhiyun Zhang, Jamie Zhang, Yunhang Zhang, Mingyi Zhang, Yujuan Zhang, Lanju Zhang, Longxin Zhang, Runcheng Zhang, Yiyuan Zhang, Hongfu Zhang, Xian-Bo Zhang, Xiao-Hong Zhang, Zhong-Yi Zhang, Si-Zhong Zhang, Yongfa Zhang, Qingcheng Zhang, Yeting Zhang, Guang-Ya Zhang, Juan-Juan Zhang, Mengxian Zhang, Hailiang Zhang, Yuzhi Zhang, Shuge Zhang, Peijun Zhang, Jian-Guo Zhang, Xiaowei Zhang, Yidong Zhang, Zheng Zhang, Zengtie Zhang, Xiangfei Zhang, Dengke Zhang, Xiaohui Zhang, Zhewen Zhang, Jing Zhang, Danyan Zhang, Juan Zhang, Mingyang A Zhang, Xiangsong Zhang, Yingze Zhang, Wen Jun Zhang, Wenbin Zhang, Qi-Min Zhang, X N Zhang, Junli Zhang, Jianying Zhang, Jiaqi Zhang, Yuemei Zhang, Huaiyong Zhang, Yuehua Zhang, Ruisan Zhang, Huihui Zhang, Dalong Zhang, Xiaohong Zhang, Zhongyi Zhang, Rongyu Zhang, Chenming Zhang, Yaru Zhang, Xueya Zhang, Jingping Zhang, Keke Zhang, YuHong Zhang, Junran Zhang, Xingwei Zhang, Biao Zhang, Song Zhang, Xiaodong Zhang, Shiwen Zhang, Kuo Zhang, Yongqiang Zhang, Xiao-Cheng Zhang, Ruyi Zhang, Tong Zhang, Shi-Meng Zhang, Junxiu Zhang, Jun-Feng Zhang, Guo-Guo Zhang, David Zhang, Zhiru Zhang, Kailin Zhang, Zhuo Zhang, Huiming Zhang, Zhuang Zhang, Caiqing Zhang, Jingchuan Zhang, Zixu Zhang, Ruxiang Zhang, Channa Zhang, Shu-Min Zhang, Xiaohan Zhang, Shengkun Zhang, Chunhua Zhang, Xixi Zhang, Xiaoyan Zhang, C H Zhang, Haijun Zhang, H X Zhang, Jingyuan Zhang, Weipeng Zhang, Yipeng Zhang, Ao Zhang, Yaodong Zhang, Mingxiu Zhang, Weiyi Zhang, Xiaoxiao Zhang, Delai Zhang, Mu Zhang, Yanquan Zhang, Liangming Zhang, Yuling Zhang, Jerry Z Zhang, Bicheng Zhang, Lijiao Zhang, Yige Zhang, Yanju Zhang, Shan Zhang, Kaihui Zhang, Chaoke Zhang, Zhenlin Zhang, Tangjuan Zhang, Lingli Zhang, Yuqi Zhang, Luo-Meng Zhang, Haiwang Zhang, Haibing Zhang, Miao Zhang, Miaomiao Zhang, Yimeng Zhang, Anli Zhang, Yun-Sheng Zhang, Yamin Zhang, Yongchao Zhang, Huize Zhang, Yingqian Zhang, Ruizhe Zhang, Wei Zhang, Yongci Zhang, Zhen-Tao Zhang, Daolai Zhang, Zeyan Zhang, Zhaoping Zhang, Xing Zhang, Zhicheng Zhang, Yuanqing Zhang, Zhiping Zhang, J Y Zhang, Yibin Zhang, Rui Yan Zhang, Lun Zhang, Yirong Zhang, Zewen Zhang, Yiming Zhang, Yongxiang Zhang, Xiaoyue Zhang, Xinlian Zhang, Baotong Zhang, Ruimin Zhang, Guohua Zhang, Xiao-Shuo Zhang, Ya-Meng Zhang, Zhenyang Zhang, Lifang Zhang, Shaochuan Zhang, Mingtong Zhang, Kefen Zhang, Tonghan Zhang, Xiaojin Zhang, Qiangyan Zhang, Renliang Zhang, Meng-Jie Zhang, Zhaofeng Zhang, Jiayin Zhang, Guoying Zhang, Guoping Zhang, Chumeng Zhang, Weixia Zhang, Yu-Zhe Zhang, A-Mei Zhang, YuHang Zhang, Xiaokui Zhang, Hui Hua Zhang, Rongrong Zhang, Boyan Zhang, Jiabi Zhang, Zijian Zhang, Xing Yu Zhang, Shou-Mei Zhang, Shu-Dong Zhang, Minzhu Zhang, Yongpeng Zhang, Yuchen Zhang, Yin Zhang, Hanting Zhang, Lantian Zhang, Jing-Chang Zhang, Jiahao Zhang, Zengrong Zhang, Shao Kang Zhang, Cheng Zhang, Jiuchun Zhang, Huawei Zhang, Xueyan Zhang, Huimin Zhang, Bei B Zhang, Saifei Zhang, Qinjun Zhang, Leili Zhang, Yuru Zhang, Huan Zhang, Haojian Zhang, Leitao Zhang, Minghang Zhang, Junru Zhang, Lu Zhang, Heng Zhang, Weiguo Zhang, Pingchuan Zhang, Amy L Zhang, Alaina Zhang, Fanghong Zhang, Yuzhe Zhang, Jinbiao Zhang, Junmei Zhang, Sheng-Dao Zhang, Liuming Zhang, Chenshuang Zhang, Mengying Zhang, Q L Zhang, Xian Zhang, Ke-lan Zhang, Rui-Nan Zhang, Huaqiu Zhang, Minzhi Zhang, Junhang Zhang, Chen-Ran Zhang, Wenli Zhang, Dian Ming Zhang, Jiachao Zhang, Yanjun Zhang, Linbo Zhang, Yunpeng Zhang, Y-H Zhang, Xiaolan Zhang, Yun-Mei Zhang, Bolin Zhang, Jianhua Zhang, Zhigang Zhang, Dongyang Zhang, Jingchun Zhang, Zekun Zhang, Huanyu Zhang, Guoli Zhang, Lufei Zhang, Qingquan Zhang, Deng-Feng Zhang, Xi Zhang, Yi Zhang, Yakun Zhang, Shu-Fang Zhang, Kun Zhang, Ruoying Zhang, Qun-Feng Zhang, Peizhen Zhang, Zhongjie Zhang, Yuhui Zhang, Yongyun Zhang, Xiaofang Zhang, Pengyuan Zhang, Guozhi Zhang, Lianmei Zhang, Jingjing Zhang, Xiaomin Zhang, Shujun Zhang, Weina Zhang, Mingqi Zhang, Sulin Zhang, Yongjie Zhang, Cuiping Zhang, Shiqi Zhang, Qingxiu Zhang, Chengsheng Zhang, Lunan Zhang, Jianxiang Zhang, Zengli Zhang, Haibei Zhang, Guoqing Zhang, Houbin Zhang, Jiaming Zhang, Chun-Qing Zhang, Zhixia Zhang, Xuhao Zhang, Xiangyu Zhang, Yan-Min Zhang, Xiuxiu Zhang, Guofeng Zhang, Bao Long Zhang, Chenan Zhang, Yucai Zhang, Can Zhang, Xingcai Zhang, Xinglai Zhang, H W Zhang, Zhu Zhang, Yuebin Zhang
articles

TRIM46 upregulates Wnt/Ξ²-catenin signaling by inhibiting Axin1 to mediate hypoxia-induced epithelial-mesenchymal transition in HK2 cells.

Lin Liao, Lianxiang Duan, Yue Guo +9 more Β· 2022 Β· Molecular and cellular biochemistry Β· Springer Β· added 2026-04-24
Hypoxia can cause Epithelial-mesenchymal transition (EMT) in renal tubular cells, and in turn, renal fibrosis. We tested the expression of TRIM46, a member of tripartite motif-containing (TRIM) family Show more
Hypoxia can cause Epithelial-mesenchymal transition (EMT) in renal tubular cells, and in turn, renal fibrosis. We tested the expression of TRIM46, a member of tripartite motif-containing (TRIM) family proteins, and mesenchymal markers under hypoxia. Our results showed that hypoxia significantly enhanced expression of TRIM46 in HK2 human renal proximal tubular epithelial cells. Our data further showed that hypoxia led to upregulated expression of mesenchymal markers including Ξ±-smooth muscle actin, vimentin, and Snail, and downregulated expression of epithelial marker E-cadherin, coupled with an increased abundance of nuclear Ξ²-catenin. However, such effects were reversed when TRIM46 expression was knocked down. TRIM46 overexpression had similar effects as hypoxia exposure, and such effects were reversed when cells were treated with XAV-939, a selective inhibitor for Ξ²-catenin. Furthermore, we found that TRIM46 promoted ubiquitination and proteasomal degradation of Axin1 protein, a robust negative regulator of Wnt/Ξ²-catenin signaling activity. Finally, increased TRIM46 coupled with decreased Axin1 was observed in a rat renal fibrosis model. These data suggest a novel mechanism contributing to EMT that mediates hypoxia-induced renal fibrosis. Our results suggest that selectively inhibiting this pathway that activates fibrosis in human kidney may lead to development of a novel therapeutic approach for managing this disease. Show less
πŸ“„ PDF DOI: 10.1007/s11010-022-04467-4
AXIN1

Phosphoproteome reveals molecular mechanisms of aberrant rhythm in neurotransmitter-mediated islet hormone secretion in diabetic mice.

Yunqiang He, Qi Fu, Min Sun +11 more Β· 2022 Β· Clinical and translational medicine Β· Wiley Β· added 2026-04-24
Acetylcholine (ACh) and norepinephrine (NE) are representative neurotransmitters of parasympathetic and sympathetic nerves, respectively, that antagonize each other to coregulate internal body functio Show more
Acetylcholine (ACh) and norepinephrine (NE) are representative neurotransmitters of parasympathetic and sympathetic nerves, respectively, that antagonize each other to coregulate internal body functions. This also includes the control of different kinds of hormone secretion from pancreatic islets. However, the molecular mechanisms have not been fully elucidated, and whether innervation in islets is abnormal in diabetes mellitus also remains unclear. Immunofluorescence colocalization and islet perfusion were performed and the results demonstrated that ACh/NE and their receptors were highly expressed in islet and rapidly regulated different hormones secretion. Phosphorylation is considered an important posttranslational modification in islet innervation and it was identified by quantitative proteomic and phosphoproteomic analyses in this study. The phosphorylated islet proteins were found involved in many biological and pathological processes, such as synaptic signalling transduction, calcium channel opening and insulin signalling pathway. Then, the kinases were predicted by motif analysis and further screened and verified by kinase-specific siRNAs in different islet cell lines (Ξ±TC1-6, Min6 and TGP52). After functional verification, Ksr2 and Pkacb were considered the key kinases of ACh and NE in insulin secretion, and Cadps, Mlxipl and Pdcd4 were the substrates of these kinases measured by immunofluorescence co-staining. Then, the decreased expression of receptors, kinases and substrates of ACh and NE were found in diabetic mice and the aberrant rhythm in insulin secretion could be improved by combined interventions on key receptors (M3 (pilocarpine) or Ξ±2a (guanfacine)) and kinases (Ksr2 or Pkacb). Abnormal innervation was closely associated with the degree of islet dysfunction in diabetic mice and the aberrant rhythm in insulin secretion could be ameliorated significantly after intervention with key receptors and kinases in the early stage of diabetes mellitus, which may provide a promising therapeutic strategy for diabetes mellitus in the future. Show less
πŸ“„ PDF DOI: 10.1002/ctm2.890
MLXIPL

mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers.

Lei Cheng, Yanan Wang, Lixin Qiu +10 more Β· 2022 Β· Journal of translational medicine Β· BioMed Central Β· added 2026-04-24
mTOR pathway is known to promote cancer malignancy and influence cancer immunity but is unknown for its role in immune checkpoint inhibitors (ICI) therapy. Using Memorial Sloan-Kettering Cancer Center Show more
mTOR pathway is known to promote cancer malignancy and influence cancer immunity but is unknown for its role in immune checkpoint inhibitors (ICI) therapy. Using Memorial Sloan-Kettering Cancer Center dataset (MSKCC), we extracted mTOR pathway gene mutations for stepwise Cox regression in 1661 cancer patients received ICI. We associated the mutation of the gene signature resulted from the stepwise Cox regression with the 1661 patients' survival. Other 553 ICI-treated patients were collected from 6 cohorts for validation. We also performed this survival association in patients without ICI treatment from MSKCC as discovery (n = 2244) and The Cancer Genome Atlas (TCGA) as validation (n = 763). Pathway enrichment analysis were performed using transcriptome profiles from TCGA and IMvigor210 trial to investigate the potential mechanism. We identified 8 genes involved in mTOR pathway, including FGFR2, PIK3C3, FGFR4, FGFR1, FGF3, AKT1, mTOR, and RPTOR, resulted from stepwise Cox regression in discovery (n = 1661). In both discovery (n = 1661) and validation (n = 553), the mutation of the 8-gene signature was associated with better survival of the patients treated with ICI, which was independent of tumor mutation burden (TMB) and mainly attributed to the missense mutations. This survival association was not observed in patients without ICI therapy. Intriguingly, the mutation of the 8-gene signature was associated with increased TMB and PD1/PD-L1 expression. Immunologically, pathways involved in anti-tumor immune response were enriched in presence of this mutational signature in mTOR pathway, leading to increased infiltration of immune effector cells (e.g., CD8 + T cells, NK cells, and M1 macrophages), but decreased infiltration of immune inhibitory M2 macrophages. These results suggested that mTOR pathway gene mutations were predictive of better survival upon ICI treatmentΒ in multiple cancers, likely by its association with enhanced anti-tumor immunity. Larger studies are warranted to validate our findings. Show less
no PDF DOI: 10.1186/s12967-022-03436-1
PIK3C3

Silencing of AKIP1 Suppresses the Proliferation, Migration, and Epithelial-Mesenchymal Transition Process of Glioma Cells by Upregulating DLG2.

ZhaoHui Chen, Haitao Wen, Jinwei Zhang +2 more Β· 2022 Β· BioMed research international Β· added 2026-04-24
Gliomas, the most prevalent brain tumors, account for nearly one-third of the all brain and central nervous system (CNS) tumors diagnosed in the USA. The purpose of this study was to discuss the impor Show more
Gliomas, the most prevalent brain tumors, account for nearly one-third of the all brain and central nervous system (CNS) tumors diagnosed in the USA. The purpose of this study was to discuss the important role of A kinase-interacting protein 1 (AKIP1) in glioma and reveal the potential mechanism. After prediction by CCLE, the expression of AKIP1 was determined by qRT-PCR and western blot. The impacts of AKIP1 knockdown on the proliferation, migration, and invasion were then measured by MTT, colony formation assay, wound healing, and transwell assays. Western blot was used to assess the protein levels of migration and epithelial-mesenchymal transition- (EMT-) related factors. Subsequently, the expression of Disks Large Homolog 2 (DLG2) was predicted by bioinformatics analyses, and the interaction between AKIP1 and DLG2 was confirmed by IP assay, qRT-PCR, and western blot. Finally, DLG2 was further downregulated in glioma cells to detect the association between AKIP1 and DLG2 in the cellular functions of glioma. It was demonstrated that AKIP1 exhibited a high level in glioma cells, and interference of AKIP1 led to reductions in the proliferation, migration, invasion, and EMT of glioma cells. DLG2, which was lowly expressed in glioma cells, demonstrated a negative link to AKIP2. Inhibition of both AKIP2 and DLG2 counteracted the inhibited cellular behaviors on account of AKIP1 interference. To be concluded, this study presented evidence that AKIP1 silencing suppressed the progression of glioma via targeting DLG2, which could provide novel insights to impede the development of glioma. Show less
πŸ“„ PDF DOI: 10.1155/2022/5648011
DLG2

Polymorphism of neurodegeneration-related genes associated with Parkinson's disease risk.

Jiaxin Li, Minhan Yi, Binbin Li +5 more Β· 2022 Β· Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Β· Springer Β· added 2026-04-24
Neurodegenerative genes are critical in neuronal loss in Parkinson's disease (PD). We performed a systematic meta-analysis including all the studies published on PD risk related to genes encoding enzy Show more
Neurodegenerative genes are critical in neuronal loss in Parkinson's disease (PD). We performed a systematic meta-analysis including all the studies published on PD risk related to genes encoding enzymes vital for dopamine metabolism and neuron survival. We included neurodegeneration-related genes which were divided into four groups according to their functions: main enzymes in dopamine metabolism, receptors and transporters for dopamine or other metabolites, neuroprotective factors for dopaminergic neurons, and genes associated with dopaminergic neurons survival reported in other neurological diseases. We collected original articles from PubMed, Embase, and Web of Science databases. Revman 5.3 software was used to analyze data. The allele model (AM) was used to test the effect size of the effect allele between the case group and the control group and secondary analysis using the dominant model (DM) and recessive model (RM) to analyze the contributions from heterozygote and homozygote to the allele risk. Odds ratio (OR) and 95% confidence interval (CI) were used to present the pooled results. We included 31 variants in 20 genes for the final pooled analysis. Consequently, SLC6A4/5-HTT HTTLPR, BDNF rs56164415, FGF20 rs1721100, PARK16 rs823128, rs823156, rs947211, APOE e2, A2M rs669, RIT2 rs12456492, MAPT intron 9 H1H2, and STH rs62063857 variants were statistically associated with PD risk while researched variants in COMT, DBH, MAO, DAT/SLC6A3, DRD2, GRIN2B, GSK3Ξ², ATP13A2, LINGO1, PICALM, and GRN were not related to PD risk. Several variants from neurodegeneration-related genes are associated with PD risk, which may help deepen the understanding of PD pathogenesis and improve clinical treatment strategies. Show less
no PDF DOI: 10.1007/s10072-022-06192-8
LINGO1

Mechanism of Glycans Modulating Cholesteryl Ester Transfer Protein: Unveiled by Molecular Dynamics Simulation.

Dongxiao Hao, He Wang, Yongjian Zang +3 more Β· 2022 Β· Journal of chemical information and modeling Β· ACS Publications Β· added 2026-04-24
Inhibition of the cholesteryl ester transfer protein (CETP) has been considered as a promising way for the treatment of cardiovascular disease (CVD) for three decades. However, clinical trials of seve Show more
Inhibition of the cholesteryl ester transfer protein (CETP) has been considered as a promising way for the treatment of cardiovascular disease (CVD) for three decades. However, clinical trials of several CETP inhibitors with various potencies have been marginally successful at best, raising doubts on the target drugability of CETP. The in-depth understanding of the glycosylated CETP structure could be beneficial to more definitive descriptions of the CETP function and the underlying mechanism. In this work, large-scale molecular dynamics simulations were performed to thoroughly explore the mechanism of glycans modulating CETP. Here, the extensive simulation results intensely suggest that glycan88 tends to assist CETP in forming a continuous tunnel throughout interacting with the upper-right region of the N-barrel, while it also could prevent the formation of a continuous tunnel by swinging toward the right-rear of the N-barrel. Furthermore, glycan240 formed stable H-bonds with Helix-B and might further stabilize the central cavity of CETP. Furthermore, the nonspecific involvement of the hydroxyl groups from the various glycans with protein core interactions and the similar influence of different glycans trapped at similar regions on the protein structure suggest that physiological glycan may lead to a similar effect. This study would provide valuable insights into devising novel methods for CVD treatment targeting CETP and functional studies about glycosylation for other systems. Show less
no PDF DOI: 10.1021/acs.jcim.1c00233
CETP

FADS1 overexpression promotes fatty acid synthesis and triacylglycerol accumulation

Jiangtao Huang, Yuexin Shao, Xueyang Zong +4 more Β· 2022 Β· Food & function Β· Royal Society of Chemistry Β· added 2026-04-24
Delta-5 desaturase (D5D), encoded by the fatty acid desaturase 1 (FADS1) gene, is a rate-limiting enzyme in polyunsaturated fatty acid (PUFA) synthesis that influences the PUFA levels in milk fat. How Show more
Delta-5 desaturase (D5D), encoded by the fatty acid desaturase 1 (FADS1) gene, is a rate-limiting enzyme in polyunsaturated fatty acid (PUFA) synthesis that influences the PUFA levels in milk fat. However, the function and molecular mechanism of FADS1 in milk fat metabolism remain largely unknown. The Show less
no PDF DOI: 10.1039/d2fo00246a
FADS1

Diagnostic Value of Inflammatory Markers and Cytokines in Neonatal Sepsis.

Lijie Wu, Jinku Li, Lili Ping +4 more Β· 2022 Β· Evidence-based complementary and alternative medicine : eCAM Β· added 2026-04-24
To explore the diagnosis value of inflammatory markers and cytokines in neonatal sepsis. In this retrospective analysis, 90 cases of neonatal sepsis admitted to our hospital from April 2019 to April 2 Show more
To explore the diagnosis value of inflammatory markers and cytokines in neonatal sepsis. In this retrospective analysis, 90 cases of neonatal sepsis admitted to our hospital from April 2019 to April 2021 were included in the observation group, and 70 healthy neonates who received routine physical examinations in our hospital during the same period were recruited as the control group. Comparison and analysis of inflammatory markers and cytokines levels between the two groups were performed on days 1, 3, and 7 after the onset. Flow cytometry was used to measure the white blood cells (WBCs) and percentage of neutrophils (N%), immunoturbidimetry was used to determine C-reactive protein (CRP), immunochromatographic analysis was used to determine procalcitonin (PCT) in plasma, and the enzyme-linked immunosorbent assay was used to determine interleukin-27 (IL-27), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor- Compared with healthy controls, neonatal sepsis resulted in significantly higher levels of WBC, N%, PCT, and CRP on days 1, 3, and 7 after onset. The levels of WBC, N%, and PCT were continuously decreased from day 1 to day 7, while the levels of CRP were increased on day 1 and day 3 but declined on day 7 ( Neonatal sepsis was associated with fluctuating levels of WBC, N%, PCT, CRP, IL-27, IL-6, IL-10, and TNF- Show less
πŸ“„ PDF DOI: 10.1155/2022/4143101
IL27

Multiplex array analysis of serum cytokines offers minimal predictive value for cognitive function in the subacute phase after stroke.

Yuling Zhang, Haixin Song, Jun Wang +5 more Β· 2022 Β· Frontiers in neurology Β· Frontiers Β· added 2026-04-24
The effects of inflammation on post-stroke cognitive function are still unclear. This study investigated the correlation between the Th17-related cytokines in peripheral blood and post-stroke cognitiv Show more
The effects of inflammation on post-stroke cognitive function are still unclear. This study investigated the correlation between the Th17-related cytokines in peripheral blood and post-stroke cognitive function after ischemic stroke in the subacute phase. A retrospective cohort study. Academic acute inpatient rehabilitation facility. One hundred and fourteen patients with first ischemic stroke were categorized as the poor cognitive recovery group ( All subjects received routine physical, occupational, and speech-language pathology therapy. Serum cytokines/chemokine (IL-1 Ξ², IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12p70, IL-13, IL-15, IL-17A, IL-17E, IL-17F, IL-21, IL-22, IL-23, IL-27, IL-28A, IL-31, IL-33, GM-CSF, IFN-Ξ³, MIP-3 Ξ±, TNF-Ξ±, and TNF-Ξ²) levels were measured in duplicate using Human Th17 magnetic bead panel and multiplex array analysis (Luminex-200 system). The primary functional outcome was a gain in functional independence measure (FIM) cognitive subscore at discharge. The secondary outcome measures were FIM total score at discharge, length of stay in the hospital, and discharge destination. Cognitive Montebello Rehabilitation Factor Score (MRFS) and cognitive MRFS efficiency were calculated. Demographic and clinical characteristics were obtained from the medical record. The good cognitive recovery group had an interesting trend of higher IL-13 than the poor cognitive recovery group (good cognitive recovery group 257.82 Β± 268.76 vs. poor cognitive recovery group 191.67 Β± 201.82, Our preliminary findings suggested that the level of serum cytokines had minimal predictive value for the recovery of cognitive function during the subacute inpatient rehabilitation after stroke. Show less
πŸ“„ PDF DOI: 10.3389/fneur.2022.886018
IL27

Coronary artery disease risk factors affected by RNA modification-related genetic variants.

Ru Li, Huan Zhang, Fan Tang +6 more Β· 2022 Β· Frontiers in cardiovascular medicine Β· Frontiers Β· added 2026-04-24
Single nucleotide polymorphisms that affect RNA modification (RNAm-SNPs) may have functional roles in coronary artery disease (CAD). The aim of this study was to identify RNAm-SNPs in CAD susceptibili Show more
Single nucleotide polymorphisms that affect RNA modification (RNAm-SNPs) may have functional roles in coronary artery disease (CAD). The aim of this study was to identify RNAm-SNPs in CAD susceptibility loci and highlight potential risk factors. CAD-associated RNAm-SNPs were identified in the CARDIoGRAMplusC4D and UK Biobank genome-wide association studies. Gene expression and circulating protein levels affected by the RNAm-SNPs were identified by QTL analyses. Cell experiments and Mendelian randomization (MR) methods were applied to test whether the gene expression levels were associated with CAD. We identified 81 RNAm-SNPs that were associated with CAD or acute myocardial infarction (AMI), including m The present study identified RNAm-SNPs in CAD susceptibility genes, gene expression and circulating proteins as risk factors for CAD and suggested that RNA modification may play a role in the pathogenesis of CAD. Show less
πŸ“„ PDF DOI: 10.3389/fcvm.2022.985121
DHX36

Large-Scale Targeted Sequencing Study of Ischemic Stroke in the Han Chinese Population.

Mengyao Shi, Tanika N Kelly, Zhengbao Zhu +16 more Β· 2022 Β· Journal of the American Heart Association Β· added 2026-04-24
Background Ischemic stroke is likely caused by interactions of multiple genes and environmental determinants. However, large-scale sequencing studies to discern functional genetic variants and their i Show more
Background Ischemic stroke is likely caused by interactions of multiple genes and environmental determinants. However, large-scale sequencing studies to discern functional genetic variants and their interactions with clinical and lifestyle risk factors on ischemic stroke are limited. Methods and Results We sequenced functional regions of 740 previously identified genes associated with atherosclerotic disease among 999 ischemic stroke cases and 1001 controls of Chinese ancestry. Multiple logistic regression models were used to examine the associations between variants and ischemic stroke and test interactions between variants and clinical and lifestyle risk factors. Functional variants achieving suggestive significance were replicated in an independent sample of 4724 ischemic stroke cases and 5029 controls. Driven by variant main effects, each minor allele of the correlated rs174535, rs174545, and rs3834458 variants at Show less
πŸ“„ PDF DOI: 10.1161/JAHA.122.025245
FADS1

Implications of structural right ventricular involvement in patients with hypertrophic cardiomyopathy.

Yu Zhang, Yuming Zhu, Mo Zhang +9 more Β· 2022 Β· European heart journal. Quality of care & clinical outcomes Β· Oxford University Press Β· added 2026-04-24
In the clinical practice, the right ventricular (RV) manifestations have received less attention in hypertrophic cardiomyopathy (HCM). This paper aimed to evaluate the risk prediction value and geneti Show more
In the clinical practice, the right ventricular (RV) manifestations have received less attention in hypertrophic cardiomyopathy (HCM). This paper aimed to evaluate the risk prediction value and genetic characteristics of RV involvement in HCM patients. A total of 893 patients with HCM were recruited. RV hypertrophy, RV obstruction, and RV late gadolinium enhancement were evaluated by echocardiography and/or cardiac magnetic resonance. Patients with any of the above structural abnormalities were identified as having RV involvement. All patients were followed with a median follow-up time of 3.0 years. The primary endpoint was cardiovascular death; the secondary endpoints were all-cause death and heart failure (HF)-related death. Survival analyses were conducted to evaluate the associations between RV involvement and the endpoints. Genetic testing was performed on 669 patients. RV involvement was recognized in 114 of 893 patients (12.8%). Survival analyses demonstrated that RV involvement was an independent risk factor for cardiovascular death (P = 0.002), all-cause death (P = 0.011), and HF-related death (P = 0.004). These outcome results were then confirmed by a sensitivity analysis. Genetic testing revealed a higher frequency of genotype-positive in patients with RV involvement (57.0% vs. 31.0%, P < 0.001), and the P/LP variants of MYBPC3 were more frequently identified in patients with RV involvement (30.4% vs. 12.0%, P < 0.001). Logistic analyses indicated the independent correlation between RV involvement and these genetic factors. RV involvement was an independent risk factor for cardiovascular death, all-cause death and HF-related death in HCM patients. Genetic factors might contribute to RV involvement in HCM. Show less
no PDF DOI: 10.1093/ehjqcco/qcac008
MYBPC3

Genetic variation influencing DNA methylation provides insights into molecular mechanisms regulating genomic function.

Johann S Hawe, Rory Wilson, Katharina T Schmid +44 more Β· 2022 Β· Nature genetics Β· Nature Β· added 2026-04-24
We determined the relationships between DNA sequence variation and DNA methylation using blood samples from 3,799 Europeans and 3,195 South Asians. We identify 11,165,559 SNP-CpG associations (methyla Show more
We determined the relationships between DNA sequence variation and DNA methylation using blood samples from 3,799 Europeans and 3,195 South Asians. We identify 11,165,559 SNP-CpG associations (methylation quantitative trait loci (meQTL), P < 10 Show less
πŸ“„ PDF DOI: 10.1038/s41588-021-00969-x
FADS1

Apolipoprotein A-IV Has Bi-Functional Actions in Alcoholic Hepatitis by Regulating Hepatocyte Injury and Immune Cell Infiltration.

Wan-Hong Li, Li Zhang, Yue-Ying Li +6 more Β· 2022 Β· International journal of molecular sciences Β· MDPI Β· added 2026-04-24
Alcohol abuse can lead to alcoholic hepatitis (AH), a worldwide public health issue with high morbidity and mortality. Here, we identified apolipoprotein A-IV (APOA4) as a biomarker and potential ther Show more
Alcohol abuse can lead to alcoholic hepatitis (AH), a worldwide public health issue with high morbidity and mortality. Here, we identified apolipoprotein A-IV (APOA4) as a biomarker and potential therapeutic target for AH. APOA4 expression was detected by Gene Expression Omnibus (GEO) databases, Immunohistochemistry, and qRT-PCR in AH. Bioinformatics Methods (protein-protein interaction (PPI) network, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Set Enrichment Analysis (GSEA) were used to show down-stream gene and pathways of APOA4 in AH. AML-12 cells were used to evaluate the biological function of APOA4 using an ELISA kit (AST, ALT, and IL-1Ξ²) and flow cytometry (ROS activity). Both in vivo and in vitro, APOA4 expression was significantly elevated in the AH model induced by alcohol (ETOH). AML-12 cell damage was specifically repaired by APOA4 deficiency, while AST, ALT, and IL-1Ξ² activity that was increased by ETOH (200 Β΅mol, 12 h) were suppressed. APOA4 inhibition increased intracellular ROS induced by ETOH, which was detected by flow cytometry. Functional and PPI network analyses showed Fcgamma receptor (FCGR) and platelet activation signaling were potential downstream pathways. We identified Show less
πŸ“„ PDF DOI: 10.3390/ijms24010670
APOA4

The genetic polymorphisms of key genes in WNT pathway (LRP5 and AXIN1) was associated with osteoporosis susceptibility in Chinese Han population.

Yongsheng Cui, Xinglv Hu, Chen Zhang +1 more Β· 2022 Β· Endocrine Β· Springer Β· added 2026-04-24
Genetic factors play a critical role in the pathogenesis of osteoporosis. The imbalance of WNT/Ξ²-catenin will cause the occurrence of osteoporosis. LRP5 and AXIN1 play an important role in the classic Show more
Genetic factors play a critical role in the pathogenesis of osteoporosis. The imbalance of WNT/Ξ²-catenin will cause the occurrence of osteoporosis. LRP5 and AXIN1 play an important role in the classical Wnt/Ξ²-catenin signaling pathway. Our study was aimed to determine the association between five candidate single nucleotide polymorphisms (SNPs) of LRP5 or AXIN1 and osteoporosis susceptibility in Chinese Han population. A total of 599 osteoporosis patients and 599 healthy individuals were recruited for this case-control study. Agena MassARRAY was used to genotype SNPs. The association between SNPs and osteoporosis susceptibility in different genetic models was analyzed by PLINK software. We used false-positive report probability (FPRP) analysis to detect whether the positive results were just chance or noteworthy observations. Multifactor dimension reduction (MDR) was used to analyze the interaction of SNP-SNP in the osteoporosis risk. Finally, haplotype analysis was performed by plink1.07 and Haploview software. We found that LRP5 rs11228240, AXIN1 rs2301522, and rs9921222 were significantly associated with the osteoporosis susceptibility. The results of subgroup analysis showed that LRP5 rs11228240 (protective factor) and AXIN1 rs2301522 (risk factor) were associated with the susceptibility of osteoporosis among participants who were age >60 years, female or BMI ≀ 24; AXIN1 rs9921222 significantly increased the risk of osteoporosis among participants with BMI ≀ 24. The genotype A The LRP5-rs11228240, AXIN1-rs2301522, and AXIN1- rs9921222 were associated with osteoporosis susceptibility in Chinese Han population. Show less
πŸ“„ PDF DOI: 10.1007/s12020-021-02866-z
AXIN1

Differential modulation of C. elegans motor behavior by NALCN and two-pore domain potassium channels.

Chuanman Zhou, Qian Zhou, Xiaohui He +5 more Β· 2022 Β· PLoS genetics Β· PLOS Β· added 2026-04-24
Two-pore domain potassium channels (K2P) are a large family of "background" channels that allow outward "leak" of potassium ions. The NALCN/UNC80/UNC79 complex is a non-selective channel that allows i Show more
Two-pore domain potassium channels (K2P) are a large family of "background" channels that allow outward "leak" of potassium ions. The NALCN/UNC80/UNC79 complex is a non-selective channel that allows inward flow of sodium and other cations. It is unclear how K2Ps and NALCN differentially modulate animal behavior. Here, we found that loss of function (lf) in the K2P gene twk-40 suppressed the reduced body curvatures of C. elegans NALCN(lf) mutants. twk-40(lf) caused a deep body curvature and extended backward locomotion, and these phenotypes appeared to be associated with neuron-specific expression of twk-40 and distinct twk-40 transcript isoforms. To survey the functions of other less studied K2P channels, we examined loss-of-function mutants of 13 additional twk genes expressed in the motor circuit and detected defective body curvature and/or locomotion in mutants of twk-2, twk-17, twk-30, twk-48, unc-58, and the previously reported twk-7. We generated presumptive gain-of-function (gf) mutations in twk-40, twk-2, twk-7, and unc-58 and found that they caused paralysis. Further analyses detected variable genetic interactions between twk-40 and other twk genes, an interdependence between twk-40 and twk-2, and opposite behavioral effects between NALCN and twk-2, twk-7, or unc-58. Finally, we found that the hydrophobicity/hydrophilicity property of TWK-40 residue 159 could affect the channel activity. Together, our study identified twk-40 as a novel modulator of the motor behavior, uncovered potential behavioral effects of five other K2P genes and suggests that NALCN and some K2Ps can oppositely affect C. elegans behavior. Show less
no PDF DOI: 10.1371/journal.pgen.1010126
UNC79

Potential biomarkers identified by tandem mass tags based quantitative proteomics for diagnosis and classification of Guillain-BarrΓ© syndrome.

Yaowei Ding, Yijun Shi, Lijuan Wang +6 more Β· 2022 Β· European journal of neurology Β· Blackwell Publishing Β· added 2026-04-24
Guillain-BarrΓ© syndrome (GBS) is an acute inflammatory autoimmune and demyelinating disease of the peripheral nervous system. Currently, valid biomarkers are unavailable for the diagnosis of GBS. A co Show more
Guillain-BarrΓ© syndrome (GBS) is an acute inflammatory autoimmune and demyelinating disease of the peripheral nervous system. Currently, valid biomarkers are unavailable for the diagnosis of GBS. A comparative proteomics analysis was performed on the cerebrospinal fluid (CSF) from 10 patients with GBS and 10 patients with noninflammatory neurological disease (NND) using the tandem mass tags technique. The differentially expressed proteins were analyzed by bioinformatics, and then the candidate proteins were validated by the enzyme-linked immunosorbent assay method in another cohort containing 160 samples (paired CSF and plasma of 40 patients with GBS, CSF of 40 NND patients and plasma of 40 healthy individuals). In all, 298 proteins were successfully identified in the CSF samples, of which 97 differentially expressed proteins were identified in the GBS and NND groups. Three key molecules were identified as candidate molecules for further validation. The CSF levels of TGOLN2 and NCAM1 decreased in GBS patients compared with NND patients, whereas the CSF levels of APOC3 increased. The enzyme-linked immunosorbent assay results were consistent with our proteomics analysis. Interestingly, in the validation cohort, serum APOC3 levels in the GBS group were consistent with those in the CSF samples and significantly higher than those in the healthy control group. Our preliminary data suggest that the CSF protein expression profile of patients with GBS is different from that of patients with NND. Moreover, alterations of TGOLN2, NCAM1and APOC3 may be used as novel biomarkers for identifying patients with GBS. Show less
no PDF DOI: 10.1111/ene.15213
APOC3

Development and Validation of a Hypoxia-related Prognostic Model for Ovarian Cancer.

Linling Xie, Meijun Pan, Zhaoping Zhang +8 more Β· 2022 Β· Recent patents on anti-cancer drug discovery Β· Bentham Science Β· added 2026-04-24
The high heterogeneity of ovarian cancer (OC) brings great difficulties to its early diagnosis and prognostic forecast. There is an urgent need to establish a prognostic model of OC based on clinicopa Show more
The high heterogeneity of ovarian cancer (OC) brings great difficulties to its early diagnosis and prognostic forecast. There is an urgent need to establish a prognostic model of OC based on clinicopathological features and genomics. We identified hypoxia-related differentially expressed genes (DEGs) between OC tissues from The Cancer Genome Atlas (TCGA) and normal tissues from the Genotype-Tissue Expression (GTEx). LASSO Cox regression analysis was applied for building a prognostic model in the TCGA-GTEx cohorts, and its predictive value was validated in the GEO-OC cohort. Functional enrichment analysis was performed to investigate the underlying mechanisms. By constructing a hypoxia model of the SKOV3 cell line and applying qRT-PCR, we investigated the relationship between hypoxia with two novel genes in the prognostic model (ISG20 and ANGPTL4). Twelve prognostic hypoxia-related DEGs were identified, and nine of them were selected to establish a prognostic model. OC patients were stratified into two risk groups, and the high-risk group showed reduced survival time compared to the low-risk group upon survival analysis. Univariate and multivariate Cox regression analysis demonstrated that the risk score was an independent risk factor for overall survival. The biological function of the identified prognostic hypoxia-related gene signature was involved in immune cell infiltration. Low expression of ISG20 was observed in the CoCl Our findings showed that this hypoxia-related gene signature could serve as a satisfactory prognostic classifier for OC and will be beneficial to the research and development of targeted therapeutic strategies. Show less
no PDF DOI: 10.2174/1574892817666220623154831
ANGPTL4

Associations between Gene-Gene Interaction and Overweight/Obesity of 12-Month-Old Chinese Infants.

Hong Mei, Baoming Yin, Wenhong Yang +6 more Β· 2022 Β· BioMed research international Β· added 2026-04-24
Childhood overweight and obesity (OW/OB) is a worldwide public health problem, and its genetic risks remain unclear. To investigate risks of OW/OB associated with genetic variances in We conducted a c Show more
Childhood overweight and obesity (OW/OB) is a worldwide public health problem, and its genetic risks remain unclear. To investigate risks of OW/OB associated with genetic variances in We conducted a case-control study with 734 infants included at delivery and followed up to 12-month old. The classification and regression tree analysis were used to generate the structure of the gene-gene interactions, while the unconditional multivariate logistic regression models were applied to analyze the single SNP, gene-gene interactions, and cumulative effects of the genotypes on OW/OB, adjusted for potential confounders. There were 219 (29.84%) OW/OB infants. Rs543874 G allele and rs11030104 AA genotype increased the risk of OW/OB in 12-month-old infants ( Rs543874, rs11030104, and rs11191580 were associated with OW/OB in 12-month-old Chinese infants, and the three SNPs together with rs10913469 and rs11165675 had a combined effect on OW/OB. Show less
no PDF DOI: 10.1155/2022/1499454
SEC16B

Silibinin protects against sepsis and septic myocardial injury in an NR1H3-dependent pathway.

Meng Sun, Huadong Zhao, Zhenxiao Jin +10 more Β· 2022 Β· Free radical biology & medicine Β· Elsevier Β· added 2026-04-24
Cardiac dysfunction resulting from sepsis causes high morbidity and mortality. Silibinin (SIL) is a secondary metabolite isolated from the seed extract of the milk thistle plant with various propertie Show more
Cardiac dysfunction resulting from sepsis causes high morbidity and mortality. Silibinin (SIL) is a secondary metabolite isolated from the seed extract of the milk thistle plant with various properties, including anti-inflammatory, anti-fibrotic, and anti-oxidative activities. This study, for the first time, examined the effects and mechanisms of SIL pretreatment, posttreatment and in combination with classical antibiotics in septic myocardial injury. The survival rate, sepsis score, anal temperature, routine blood parameters, blood biochemical parameters, cardiac function indicators, pathological indicators of myocardial injury, NR1H3 signaling pathway, and several sepsis-related signaling pathways were detected 8Β h following cecal ligation and puncture (CLP). Our results showed that SIL pretreatment showed a significant protective effect on sepsis and septic myocardial injury, which was explained by the attenuation of inflammation, inhibition of oxidative stress, improvement of mitochondrial function, regulation of endoplasmic reticulum stress (ERS), and activation of the NR1H3 pathway. SIL posttreatment and the combination of SIL and azithromycin (AZI) showed a certain therapeutic effect. RNA-seq detection further clarified the myocardial protective mechanisms of SIL. Taken together, this study provides a theoretical basis for the application strategy and combination of SIL in septic myocardial injury. Show less
no PDF DOI: 10.1016/j.freeradbiomed.2022.05.018
NR1H3

GREM1 is required to maintain cellular heterogeneity in pancreatic cancer.

Linxiang Lan, Theodore Evan, Huafu Li +18 more Β· 2022 Β· Nature Β· Nature Β· added 2026-04-24
Pancreatic ductal adenocarcinoma (PDAC) shows pronounced epithelial and mesenchymal cancer cell populations
no PDF DOI: 10.1038/s41586-022-04888-7
SNAI1

MACC1 promotes pancreatic cancer metastasis by interacting with the EMT regulator SNAI1.

Xianglian Zhang, Ya Luo, Yu Cen +5 more Β· 2022 Β· Cell death & disease Β· Nature Β· added 2026-04-24
Metastasis is the dominant cause of cancer-related mortality. Metastasis-associated with colon cancer protein 1 (MACC1) has been proven to play a critical role in cancer metastasis. However, the prome Show more
Metastasis is the dominant cause of cancer-related mortality. Metastasis-associated with colon cancer protein 1 (MACC1) has been proven to play a critical role in cancer metastasis. However, the prometastatic role of MACC1 in regulating the pancreatic cancer (PC) metastatic phenotype remains elusive. Here, we report that MACC1 is highly expressed in The Cancer Genome Atlas (TCGA) and tissue microarray (TMA) and identified as a good indicator for poor prognosis. Overexpression or knockdown of MACC1 in PC cells correspondingly promoted or inhibited pancreatic cancer cell migration and invasion in a MET proto-oncogene receptor tyrosine kinase (MET)-independent manner. Notably, knockdown of MACC1 in PC cells markedly decreased the liver metastatic lesions in a liver metastasis model. Mechanistically, MACC1 binds to the epithelial-mesenchymal transition (EMT) regulator snail family transcriptional repressor 1 (SNAI1) to drive EMT via upregulating the transcriptional activity of SNAI1, leading to the transactivation of fibronectin 1 (FN1) and the trans-repression of cadherin 1 (CDH1). Collectively, our results unveil a new mechanism by which MACC1 drives pancreatic cancer cell metastasis and suggest that the MACC1-SNAI1 complex-mediated mesenchymal transition may be a therapeutic target in pancreatic cancer. Show less
no PDF DOI: 10.1038/s41419-022-05285-8
SNAI1

Half-Life Extension and Biodistribution Modulation of Biotherapeutics via Red Blood Cell Hitch-Hiking with Novel Anti-Band 3 Single-Domain Antibodies.

Toan D Nguyen, Brandon M Bordeau, Yu Zhang +2 more Β· 2022 Β· International journal of molecular sciences Β· MDPI Β· added 2026-04-24
Small therapeutic proteins are receiving increased interest as therapeutic drugs; however, their clinical success has been limited due to their rapid elimination. Here, we report a half-life extension Show more
Small therapeutic proteins are receiving increased interest as therapeutic drugs; however, their clinical success has been limited due to their rapid elimination. Here, we report a half-life extension strategy via strategy via red blood cell red blood cell (RBC) hitch-hiking. This manuscript details the development and characterization of novel anti-RBC single-domain antibodies (sdAbs), their genetic fusion to therapeutic antibody fragments (TAF) as bispecific fusion constructs, and their influence on TAF pharmacokinetics and biodistribution. Several sdAbs specific to the band 3 antigen were generated via phage-display technology. Binding affinity to RBCs was assessed via flow cytometry. Affinity maturation via random mutagenesis was carried out to improve the binding affinity of the sdAbs. Bi-specific constructs were generated by fusing the anti-RBC sdAbs with anti-tissue necrosis factor alpha (TNF-Ξ±) TAF via the use of a glycine-serine flexible linker, and assessments for binding were performed via enzyme-linked immunosorbent assay and flow cytometry. Pharmacokinetics of anti-RBC sdAbs and fusion constructs were evaluated following intravenous bolus dosing in mice at a 1 mg/kg dose. Two RBC-binding sdAbs, RB12 and RE8, were developed. These two clones showed high binding affinity to human RBC with an estimated K Show less
no PDF DOI: 10.3390/ijms24010475
RMC1

Hypocholesterolemic phospholipid transfer protein knockout mice exhibit a normal glucocorticoid response to food deprivation.

Menno Hoekstra, Qiuyu Liu, Yiheng Zhang +3 more Β· 2022 Β· American journal of translational research Β· added 2026-04-24
Glucocorticoids, adrenal-derived steroid hormones, facilitate the physiological response to stress. High-density lipoproteins (HDL) are considered the primary source of cholesterol used for glucocorti Show more
Glucocorticoids, adrenal-derived steroid hormones, facilitate the physiological response to stress. High-density lipoproteins (HDL) are considered the primary source of cholesterol used for glucocorticoid synthesis in mice. Phospholipid transfer protein (PLTP) is a key player in HDL formation. In the current study we tested the hypothesis that HDL deficiency associated with genetic lack of PLTP negatively impacts the adrenal steroid function. We determined the glucocorticoid response to overnight food deprivation stress and the adrenal lipid and genetic phenotype of wild-type and PLTP knockout mice. Basal plasma corticosterone levels, adrenal weights, and adrenocortical neutral lipid stores were not different between wild-type and PLTP knockout mice. Strikingly, plasma corticosterone levels were also equally high in the two groups of mice under fasting conditions (two-way ANOVA genotype effect: P>0.05). However, compensatory mechanisms were active to overcome adrenal lipid depletion, since gene expression levels of cholesterol synthesis, acquisition and mobilization proteins were ~2-fold higher in PLTP knockout adrenals versus wild-type adrenals. In support of an overall similar glucocorticoid stress response, hepatic relative mRNA expression levels of the glucocorticoid receptor target/glucocorticoid-sensitive genes PEPCK, ANGPTL4, FGF21, TDO2 and HMGCS2 were also not different. We have shown that hypocholesterolemic PLTP knockout mice exhibit a normal glucocorticoid response to food deprivation. These novel data (1) highlight that the effect of HDL deficiency on adrenal glucocorticoid output in mice is model dependent and (2) imply that other (lipoprotein) cholesterol sources than HDL can also generate the pool utilized by adrenocortical cells to synthesize glucocorticoids. Show less
no PDF
ANGPTL4

Identification and Characterization of Genes Related to the Prognosis of Hepatocellular Carcinoma Based on Single-Cell Sequencing.

Wenbiao Chen, Feng Zhang, Huixuan Xu +3 more Β· 2022 Β· Pathology oncology research : POR Β· Frontiers Β· added 2026-04-24
The heterogeneity of hepatocellular carcinoma (HCC) highlights the importance of precision therapy. In recent years, single-cell RNA sequencing has been used to reveal the expression of genes at the s Show more
The heterogeneity of hepatocellular carcinoma (HCC) highlights the importance of precision therapy. In recent years, single-cell RNA sequencing has been used to reveal the expression of genes at the single-cell level and comprehensively study cell heterogeneity. This study combined big data analytics and single-cell data mining to study the influence of genes on HCC prognosis. The cells and genes closely related to the HCC were screened through single-cell RNA sequencing (71,915 cells, including 34,414 tumor cells) and big data analysis. Comprehensive bioinformatics analysis of the key genes of HCC was conducted for molecular classification and multi-dimensional correlation analyses, and a prognostic model for HCC was established. Finally, the correlation between the prognostic model and clinicopathological features was analyzed. 16,880 specific cells, screened from the single-cell expression profile matrix, were divided into 20 sub-clusters. Cell typing revealed that 97% of these cells corresponded to HCC cell lines, demonstrating the high specificity of cells derived from single-cell sequencing. 2,038 genes with high variability were obtained. The 371 HCC samples were divided into two molecular clusters. Cluster 1 (C1) was associated with tumorigenesis, high immune score, immunotherapy targets (PD-L1 and CYLA-4), high pathological stage, and poor prognosis. Cluster 2 (C2) was related to metabolic and immune function, low immune score, low pathological stage, and good prognosis. Seven differentially expressed genes (CYP3A4, NR1I2, CYP2C9, TTR, APOC3, CYP1A2, and AFP) identified between the two molecular clusters were used to construct a prognostic model. We further validated the correlation between the seven key genes and clinical features, and the established prognostic model could effectively predict HCC prognosis. Our study identified seven key genes related to HCC that were used to construct a prognostic model through single-cell sequencing and big data analytics. This study provides new insights for further research on clinical targets of HCC and new biomarkers for clinical application. Show less
πŸ“„ PDF DOI: 10.3389/pore.2022.1610199
APOC3

Gut microbiota and short chain fatty acids partially mediate the beneficial effects of inulin on metabolic disorders in obese ob/ob mice.

Jing Guo, Mengyuan Zhang, He Wang +5 more Β· 2022 Β· Journal of food biochemistry Β· Blackwell Publishing Β· added 2026-04-24
Mounting evidence has linked both obesity and metabolic disorders with dysbiosis of the gut microbiota. Dietary inulin is conducive to modulating this dysbiosis, and represents a potential means to im Show more
Mounting evidence has linked both obesity and metabolic disorders with dysbiosis of the gut microbiota. Dietary inulin is conducive to modulating this dysbiosis, and represents a potential means to improve disorders of glucose and lipid metabolism. However, the mechanisms underlying these improvements are largely unclear. Obese ob/ob mice were fed a standard chow, a low fiber diet (LFD) or a high fiber diet (HFD) for 4Β weeks, and the body weight, fecal short chain fatty acids (SCFAs) level, and plasma and liver lipid profiles were analyzed. Oral glucose tolerance testing, and gut microbiota sequencing were also conducted. Dietary inulin improved the dysbiosis of the gut microbiota, attenuated the decrease in phylum Bacteroidetes, repressed the increase of phylum Firmicutes, and led to an increase in the ratio of Firmicutes/Bacteroidetes. At the family level, inulin promoted the expansion of SCFAs-producing Ruminococcaceae and Lachnospiraceae bacteria, which increased the fecal SCFAs concentrations. At the genus level, inulin increased the levels of Bacteroides and Bifidobacteria. Furthermore, our results revealed that there was enhanced expression of angiopoietin-like protein 4 (ANGPTL4), which might be induced by the higher production of SCFAs, and this may underlie the improvements in the disorders of glucose and lipid metabolism seen in mice with added dietary inulin. In conclusion, inulin may ameliorate metabolic disorders by remodeling the gut microbiota and increasing the production of SCFAs, which might be mediated by the ANGPTL4-related signaling pathway. Interventions targeting the gut microbiota warrant further investigation as a novel therapy for metabolic diseases. PRACTICAL APPLICATIONS: Mounting evidence has linked both obesity and metabolic disorders with dysbiosis of the gut microbiota. Dietary inulin is conducive to modulating this dysbiosis, and represents a potential means to improve disorders of glucose and lipid metabolism. However, the mechanisms underlying these improvements are largely unclear. In the present study, we investigated the effects of dietary fiber (inulin) on metabolic homeostasis using ob/ob mice. The results of our study demonstrate that inulin-induced remodeling of the gut microbiota resulted in increased production of short chain fatty acids (SCFAs), leading to the enhanced expression of angiopoietin-like protein 4 (ANGPTL4), which improved the glucose and lipid metabolism. Our results suggest that the gut microbiota, SCFAs and ANGPTL4 pathway at least partially mediate the beneficial effects of inulin on metabolic disorders in ob/ob mice. Show less
no PDF DOI: 10.1111/jfbc.14063
ANGPTL4

WNT5A promotes the metastasis of esophageal squamous cell carcinoma by activating the HDAC7/SNAIL signaling pathway.

Yingtong Feng, Zhiqiang Ma, Minghong Pan +14 more Β· 2022 Β· Cell death & disease Β· Nature Β· added 2026-04-24
Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers worldwide, with high incidence and mortality rates and low survival rates. However, the detailed molecular mechanism of ESCC Show more
Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers worldwide, with high incidence and mortality rates and low survival rates. However, the detailed molecular mechanism of ESCC progression remains unclear. Here, we first showed significantly higher WNT5A and SNAIL expression in ESCC samples than in corresponding paracancerous samples. High WNT5A and SNAIL expression levels correlated positively with lymphatic metastasis and poor prognosis for patients with ESCC based on immunohistochemical (IHC) staining of 145 paired ESCC samples. Spearman's correlation analyses confirmed the strong positive correlation between WNT5A and SNAIL expression, and patients with ESCC presenting coexpression of WNT5A and SNAIL had the worst prognosis. Then, we verified that the upregulation of WNT5A promoted ESCC cell metastasis in vivo and in vitro, suggesting that WNT5A might be a promising therapeutic target for the prevention of ESCC. Furthermore, WNT5A overexpression induced the epithelial-mesenchymal transition via histone deacetylase 7 (HDAC7) upregulation, and HDAC7 silencing significantly reversed WNT5A-induced SNAIL upregulation and ESCC cell metastasis. In addition, we used HDAC7 inhibitors (SAHA and TMP269) to further confirm that HDAC7 participates in WNT5A-mediated carcinogenesis. Based on these results, HDAC7 is involved in WNT5A-mediated ESCC progression, and approaches targeting WNT5A and HDAC7 might be potential therapeutic strategies for ESCC. Show less
no PDF DOI: 10.1038/s41419-022-04901-x
SNAI1

Circ₀₀₀₆₂₂₀ promotes non-small cell lung cancer progression via sponging miR-203-3p and regulating RGS17 expression.

Shaochun Wang, Chengcheng Zhang, Ruilin Chen Β· 2022 Β· Human & experimental toxicology Β· SAGE Publications Β· added 2026-04-24
Lung cancer is the most common malignancy, and its mortality ranks first among malignancies. Non-small cell lung carcinoma (NSCLC) is the most common pathological subtype of lung cancer. It is reporte Show more
Lung cancer is the most common malignancy, and its mortality ranks first among malignancies. Non-small cell lung carcinoma (NSCLC) is the most common pathological subtype of lung cancer. It is reported that circular RNAs (circRNAs) feature prominently in the occurrence and metastasis of NSCLC. This study aims to decipher the biological functions of circ₀₀₀₆₂₂₀ in NSCLC and the underlying mechanism. The microarray data (GSE101586) were downloaded from the Gene Expression Omnibus database, and differentially expressed circRNAs in NSCLC tissues were screened using the GEO2R tool. Quantitative real-time polymerase chain reaction was used for detecting the expression of circ₀₀₀₆₂₂₀, miR-203-3p, and regulator of G-protein signaling 17 (RGS17) mRNA in NSCLC tissues and cells. The connection between circ₀₀₀₆₂₂₀ expression and clinicopathological indicators was analyzed through the chi-square test. EdU and cell counting kit-8 assays were carried out to detect cell growth. Cell migration and invasion were detected by transwell assays. Bioinformatics was used to predict, and RNA immunoprecipitation assay and dual-luciferase reporter gene assay were conducted for verifying, the targeted relationship among circ₀₀₀₆₂₂₀, miR-203-3p, and RGS17. The expression of circ₀₀₀₆₂₂₀ was elevated in NSCLC cells and tissues, and high circ₀₀₀₆₂₂₀ expression was significantly associated with unfavorable clinicopathological indicators. In addition, it was revealed that circ₀₀₀₆₂₂₀ overexpression facilitated NSCLC cell growth, migration, and invasion, whereas knocking down circ₀₀₀₆₂₂₀ had contrary effects. Furthermore, miR-203-3p was identified as a downstream target of circ₀₀₀₆₂₂₀, and circ₀₀₀₆₂₂₀ could sponge miR-203-3p; RGS17 was identified as a downstream target of miR-203-3p and was positively modulated by circ₀₀₀₆₂₂₀. Circ₀₀₀₆₂₂₀ up-regulates RGS17 expression by adsorbing miR-203-3p to promote NSCLC development. Show less
no PDF DOI: 10.1177/09603271211062854
RGS17

Trans-ethnic genome-wide association study of blood metabolites in the Chronic Renal Insufficiency Cohort (CRIC) study.

Eugene P Rhee, Aditya Surapaneni, Zihe Zheng +24 more Β· 2022 Β· Kidney international Β· Elsevier Β· added 2026-04-24
Metabolomics genome wide association study (GWAS) help outline the genetic contribution to human metabolism. However, studies to date have focused on relatively healthy, population-based samples of Wh Show more
Metabolomics genome wide association study (GWAS) help outline the genetic contribution to human metabolism. However, studies to date have focused on relatively healthy, population-based samples of White individuals. Here, we conducted a GWAS of 537 blood metabolites measured in the Chronic Renal Insufficiency Cohort (CRIC) Study, with separate analyses in 822 White and 687 Black study participants. Trans-ethnic meta-analysis was then applied to improve fine-mapping of potential causal variants. Mean estimated glomerular filtration rate was 44.4 and 41.5 mL/min/1.73m Show less
πŸ“„ PDF DOI: 10.1016/j.kint.2022.01.014
FADS1

Novel pathogenic variant of MYBPC3 responsible for hypertrophic cardiomyopathy.

Xiaofei Yang, Zhenghao Li, Qingfa Wang +2 more Β· 2022 Β· Cardiology in the young Β· added 2026-04-24
This study aims to investigate the pathogenic gene variant in a family with hypertrophic cardiomyopathy by using whole-exome sequencing and to explore the relationship between the gene variant and cli Show more
This study aims to investigate the pathogenic gene variant in a family with hypertrophic cardiomyopathy by using whole-exome sequencing and to explore the relationship between the gene variant and clinical phenotype. Peripheral blood was collected from a family with hypertrophic cardiomyopathy, and deoxyribonucleic acid was extracted. The possible pathogenic genes were detected by whole-exome sequencing, and the variant was verified by Sanger sequencing. Functional change in the variant was predicted by bioinformatics software. Clinical data of the family members are analysed simultaneously. The proband carries a novel heterozygous nonsense variant of MYBPC3:c.2731G > T (p.E911X). The analysis of amino acid conservation suggests that the variation is highly conserved. The three-dimensional protein structure shows that the variant in MYBPC3 results in the incompleteness of the fibronectintype-III2 (p872-967) domain and deletion of Ig-like C2-type 6 (p971-1065) and fibronectin type-III 3 and Ig-like C2-type 7 (p1181-1274) domains, in which p1253-1268 is predicted to have a transmembrane helix structure. Clinical data indicate that the phenotypes of variant carriers with hypertrophic cardiomyopathy are diverse, suggesting the functional damages to the protein of MYBPC3. The phenotypes of variant carriers with hypertrophic cardiomyopathy caused by the novel variant in MYBPC3: c.2731G > T (p.E911X) exhibit variable severity and clinical manifestations. Whole-exome sequencing can be used to comprehensive screen hypertrophic cardiomyopathy genes and provide a strong basis for early screening and accurate diagnosis and treatment of hypertrophic cardiomyopathy in children. Show less
no PDF DOI: 10.1017/S1047951121002468
MYBPC3