👤 Wenjun 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, Yinjiang 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, 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

Latent Profile Analysis of Depression and Its Influencing Factors Among Frail Older Adults in China.

Lingling Ye, Penghao Fan, Siyuan Zhang +1 more · 2025 · Behavioral sciences (Basel, Switzerland) · MDPI · added 2026-04-24
The present investigation set out to examine potential categories regarding depressive symptoms in frail senior individuals in China and to identify the contributing variables associated with each cat Show more
The present investigation set out to examine potential categories regarding depressive symptoms in frail senior individuals in China and to identify the contributing variables associated with each category, with the goal of informing more targeted mental health interventions. Data were drawn from the 2018 China Health and Retirement Longitudinal Survey, commonly called CHARLS, which comprised an overall cohort of 1083 qualifying respondents. A latent profile analysis (LPA) revealed the following four distinct depression profiles: a Low Depression-High Loneliness Group (38.4%), a Moderately Low Depression-High Suicidal Ideation Group (7.5%), a Moderately High Depression-High Negative Emotion Group (33.4%), and a High Depression-High Suicidal Ideation Group (20.7%). Ordered multi-categorical logistic regression and restricted cubic spline analyses revealed that age, gender, body pain, pension insurance, sleep duration, and frailty index were significant predictors of depression classification. These findings suggest that depressive symptoms among frail older individuals in China are markedly heterogeneous, highlighting the need to develop differentiated intervention strategies for distinct depression risk groups to promote their mental health. Show less
📄 PDF DOI: 10.3390/bs15091217
LPA

High-abundance serum glycoproteins as valuable resources for glycopeptide standards.

Jun Li, Didi Liu, Yingjie Zhang +3 more · 2025 · Carbohydrate polymers · Elsevier · added 2026-04-24
High-abundance serum proteins, mostly modified by N-glycans, are usually depleted from human sera to achieve in-depth analyses of serum proteome and sub-proteomes. In this study, we show that these hi Show more
High-abundance serum proteins, mostly modified by N-glycans, are usually depleted from human sera to achieve in-depth analyses of serum proteome and sub-proteomes. In this study, we show that these high-abundance glycoproteins (HAGPs) can be used as valuable standard glycopeptide resources, as long as the structural features of their glycans have been well defined at the glycosite-specific level. By directly analyzing intact glycopeptides enriched from serum, we identified 1322 unique glycopeptides at 48 N-glycosites from the top 12 HAGPs (19 subclasses). These HAGPs could be further classified into four major groups based on the structural features of their attached N-glycans. Immunoglobins including IGHG1/2/3/4, IGHA1/2 and IGHM were mostly modified by core fucosylated and bisected N-glycans with rarely sialic acids. Alpha-1-acid glycoproteins (ORM1/2) and haptoglobins (HP) were mainly modified by tri-and tetra-antennary (40 %) N-glycans with antenna-fucoses and sialic acids. Complement components C3 and C4A/B were highly modified by oligo-mannose glycans. The other HAGPs including SERPINA1, A2M, TF, FGB/G and APOB mainly contain bi-antennary complex glycans with the common core structure and (sialyl-) LacNAc branch structures. These HAGPs are easily detected by LC-MS analysis and therefore could be used as standard glycopeptides for glycoproteomic methodology studies as well as possible clinical utilities. Show less
no PDF DOI: 10.1016/j.carbpol.2024.122746
APOB

Integrated Multi-Omics Investigation of Gypenosides' Mechanisms in Lowering Hepatic Cholesterol.

Qin Jiang, Tao Yang, Hao Yang +9 more · 2025 · Biomolecules · MDPI · added 2026-04-24
(1) Objective: This study aimed to systematically elucidate the molecular mechanisms by which gypenosides (GP), a major active component of
📄 PDF DOI: 10.3390/biom15081205
APOB

The Non-Canonical ChREBPα Activity Suppresses the Activation of Hepatic Stellate Cells and Liver Fibrosis by Antagonizing TGF-β-E2F1 Axis.

Jian Zhang, Yuee Zhao, Gauthami Pulivendala +8 more · 2025 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Sustained activation of hepatic stellate cells (HSCs) drives liver fibrosis in response to chronic liver injury and inflammation. It is reported that profibrogenic signals released from stressed/injur Show more
Sustained activation of hepatic stellate cells (HSCs) drives liver fibrosis in response to chronic liver injury and inflammation. It is reported that profibrogenic signals released from stressed/injured hepatocytes evoke fibrogenic responses in HSCs. However, intrahepatocyte players that modulate such cell-to-cell communications remain poorly defined. In this study, hepatic ChREBPα is found to be reduced in mouse models of chemical-induced liver fibrosis as well as in three groups of human patients with liver fibrosis. Chrebpα-LKO mice are highly sensitive to both chemical (CCL4 and TAA) and bile duct ligation (BDL)-induced liver injury and developed more advanced liver fibrosis without affecting liver lipid content. Hepatocyte ChREBPα overexpression suppressed the activation of HSCs in an in vitro medium transfer experiment in part via inhibiting the expression of profibrogenic factors THBS1 and CTGF. RNA-Seq analysis revealed that E2F1, a novel effector of TGFβ-mediated fibrogenic pathway, is highly induced in the liver of Chrebpα-LKO mice. Hepatic knockdown of E2F1 ameliorated the increased liver fibrosis in mice with hepatic Chrebpα deficiency while reducing the expression of hepatic THBS1 and CTGF. Show less
📄 PDF DOI: 10.1002/advs.202415032
MLXIPL

Integration of transcriptomics and metabolomics reveal cytotoxic mechanisms of Polyethylene terephthalate microplastics in BEAS-2B cells.

Jiangliang Chu, Yifan Yang, Keyu Zhang +2 more · 2025 · Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · Elsevier · added 2026-04-24
Polyethylene terephthalate microplastics (PET-MPs) have emerged as significant environmental pollutants with potential health risks. This study investigates the cytotoxic effects of PET-MPs on BEAS-2B Show more
Polyethylene terephthalate microplastics (PET-MPs) have emerged as significant environmental pollutants with potential health risks. This study investigates the cytotoxic effects of PET-MPs on BEAS-2B lung epithelial cells through integrated transcriptomic and metabolomic analyses. The results of the CCK8 assay showed a reduction in the viability of BEAS-2B cells following continuous exposure to PET-MPs. Transcriptomic analysis identified 1412 differentially expressed genes (DEGs) mainly enriched in apoptosis and extracellular matrix organization processes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that these DEGs are predominantly involved in the PI3K-Akt, TNF, and MAPK signaling pathways. Metabolomic analysis identified 2869 differentially expressed metabolites (DEMs), mainly associated with pyrimidine, arginine, proline, and β-alanine metabolism pathways. Multi-omics analysis indicated that PET-MPs primarily disrupt lipid metabolism, which may lead to an increased risk of apoptosis. We hypothesize that PET-MPs affect lipid metabolism by up-regulating the ANGPTL4 gene, thereby promoting cellular apoptosis. This study reveals the mechanisms of PET-MPs toxicity, emphasizing the potential risks they pose to human health. Show less
no PDF DOI: 10.1016/j.fct.2024.115125
ANGPTL4

Integrative bioinformatic approach reveals novel melatonin-related biomarkers for Alzheimer's disease.

Hua-Xiong Zhang, Dilmurat Hamit, Qing Li +6 more · 2025 · Scientific reports · Nature · added 2026-04-24
Melatonin (MLT) can improve mitophagy, thereby ameliorating cognitive deficits in Alzheimer's disease (AD) patients. Hence, our research focused on the potential value of MLT-related genes (MRGs) in A Show more
Melatonin (MLT) can improve mitophagy, thereby ameliorating cognitive deficits in Alzheimer's disease (AD) patients. Hence, our research focused on the potential value of MLT-related genes (MRGs) in AD through bioinformatic analysis. First, the key cells in the single-cell dataset GSE138852 were screened out based on the proportion of annotated cells and Fisher's test between the AD and control groups. The differentially expressed genes (DEGs) in the key cell and GSE5281 datasets were identified, and the MRGs in GSE5281 were selected via weighted gene coexpression network analysis. After intersecting two sets of DEGs and MRGs, we performed Mendelian randomization analysis to identify the MRGs causally related to AD. Biomarkers were further ascertained through receiver operating characteristic curve (ROC) and expression analysis in GSE5281 and GSE48350. Furthermore, gene set enrichment analysis, immune infiltration analysis and correlation analysis with metabolic pathways were conducted, as well as construction of a regulator network and molecular docking. According to the Fisher test, oligodendrocytes were regarded as key cells due to their excellent abundance in the GSE138852 dataset, in which there were 281 DEGs between the AD and control groups. After overlapping with 3,490 DEGs and 550 MRGs in GSE5281, four genes were found to be causally related to AD, namely, G protein-coupled receptor, family C, group 5, member B (GPRC5B), Methyltransferase-like protein 7 A (METTL7A), NF-κB inhibitor alpha (NFKBIA) and RAS association domain family 4(RASSF4). Moreover, GPRC5B, NFKBIA and RASSF4 were deemed biomarkers, except for METTL7A, because of their indistinctive expression between the AD and control groups. Biomarkers might be involved in oxidative phosphorylation, adipogenesis and heme metabolism. Moreover, T helper type 17 cells, natural killer cells and CD56dim natural killer cells were significantly correlated with biomarkers. Transcription factors (GATA2, POU2F2, NFKB1, etc.) can regulate the expression of biomarkers. Finally, we discovered that all biomarkers could bind to MLT with a strong binding energy. Our study identified three novel biomarkers related to MLT for AD, namely, GPRC5B, NFKBIA and RASSF4, providing a novel approach for the investigation and treatment of AD patients. Show less
📄 PDF DOI: 10.1038/s41598-024-80755-x
GPRC5B

Expression and prognostic diagnostic significance of RGS gene family in breast cancer.

Huanhuan Wang, Ming Feng, Hong Huang +2 more · 2025 · Discover oncology · Springer · added 2026-04-24
The Regulator of G Protein Signaling (RGS) gene family, known as critical negative regulators of G protein-coupled receptor (GPCR) signaling pathways, has emerged as a potential therapeutic target in Show more
The Regulator of G Protein Signaling (RGS) gene family, known as critical negative regulators of G protein-coupled receptor (GPCR) signaling pathways, has emerged as a potential therapeutic target in various malignancies. This study aims to comprehensively evaluate the expression profiles of RGS genes in breast cancer, exploring their diagnostic, prognostic, and chemotherapeutic sensitivity-related roles. Pan-cancer RNA-seq data, immune phenotype data, stemness indices, and breast cancer data from the TCGA and GTEx databases (via UCSC Xena) were integrated to analyze the expression patterns of RGS genes across different cancers. Associations with immune microenvironment factors (e.g., stromal and immune scores), tumor stemness (mRNAsi/mDNAsi), and chemotherapy drug sensitivity (cyclophosphamide, neratinib, clobutin, etc.) were assessed. The relationship between RGS gene expression and overall survival (OS) as well as progression-free survival (PFS) in breast cancer patients was analyzed using the KM-Plotter database, leading to the identification of potential diagnostic and prognostic biomarkers. Pan-cancer analyses revealed significant positive correlations between the expression of RGS1, RGS13, RGS18, and RGS19 and both stromal and immune scores ( The RGS gene family plays a crucial role in breast cancer progression through modulation of the immune microenvironment and chemotherapy resistance. Their expression profiles hold promise as novel biomarkers for personalized prognostic stratification and targeted therapy, particularly for guiding chemotherapy drug selection. Show less
no PDF DOI: 10.1007/s12672-025-04069-8
RGS17

Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury.

Lingyan Li, Xingjie Wu, Qianqian Guo +9 more · 2025 · Journal of pharmaceutical analysis · Elsevier · added 2026-04-24
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, over Show more
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, overshadowing its influence on the biological effects of formulations. In this study, we reevaluated the delivery effect of CH using widely applied lipid microspheres (LM) as a model DDS. We conducted comprehensive investigations into the impact of CH on the distribution, cell uptake, and protein corona (PC) of LM at sites of cardiovascular inflammatory injury. The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage. Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma (PPAR-γ) expression in vascular endothelial cells and estrogen receptor alpha (ERα) protein levels in myocardial cells, thereby enhancing LM uptake at cardiovascular inflammation sites. Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V (Apoa5); this may be a major contributing factor to their prolonged circulation Show less
📄 PDF DOI: 10.1016/j.jpha.2024.101182
APOA5

Serum homocysteine and lipid levels in the third trimester and their relationship with perinatal outcomes in diet-controlled gestational diabetes mellitus.

Yuting Li, Mingrui Wang, Na Zhang +3 more · 2025 · Ginekologia polska · added 2026-04-24
This study investigates the relationship between serum homocysteine, blood lipids, and perinatal outcomes in patients with diet-controlled gestational diabetes mellitus (GDM) and those with normal glu Show more
This study investigates the relationship between serum homocysteine, blood lipids, and perinatal outcomes in patients with diet-controlled gestational diabetes mellitus (GDM) and those with normal glucose tolerance (NGT). A prospective cohort of 150 diet-controlled GDM patients and 150 pregnant women with NGT, all delivering at our hospital, were selected based on predefined criteria. Data on demographics, physical parameters, and perinatal outcomes were compiled. Blood samples for fasting plasma glucose (FPG), homocysteine (Hcy), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (apoB), and apolipoprotein A1 (apoA1) were collected before delivery. GDM patients exhibited higher levels of FPG, Hcy, and the apoB/apoA1 ratio, but lower HDL-C and apoA1 levels compared to the NGT group. Adverse outcomes such as macrosomia, premature rupture of membranes, and postpartum hemorrhage were more prevalent in the GDM group. In GDM patients, neonatal birth weight positively correlated with FPG and TG levels. Stratified Hcy analysis in GDM showed no significant differences in perinatal outcomes. However, the third quartile of the apoB/apoA1 ratio had a lower incidence of macrosomia compared to the first quartile, and the second quartile showed a higher incidence of birth asphyxia. GDM patients demonstrated increased levels of Hcy, FPG, and the apoB/apoA1 ratio, correlating with more adverse perinatal outcomes than healthy pregnant individuals. The relationships between Hcy, lipids, and these outcomes remain inconclusive, highlighting the need for further research. Show less
no PDF DOI: 10.5603/gpl.101475
APOB

IL-27 aggravates acute hepatic injury by promoting macrophage M1 polarization to induce Caspase-11 mediated Pyroptosis in vitro and in vivo.

Lin Ye, Liuyang Wang, Gang Kuang +4 more · 2025 · Cytokine · Elsevier · added 2026-04-24
Our aim was to explore the IL-27 effect in sepsis (SP)-related acute hepatic injury (AHI) as well as its possible mechanism. Herein, we utilized both wild-type (WT) and IL-27 receptor (WSX-1)-deficien Show more
Our aim was to explore the IL-27 effect in sepsis (SP)-related acute hepatic injury (AHI) as well as its possible mechanism. Herein, we utilized both wild-type (WT) and IL-27 receptor (WSX-1)-deficient (IL-27R The results revealed that IL-27 exacerbated systemic inflammation and liver damage in AHI mice by promoting M1 macrophage polarization, thereby increasing pro-inflammatory phenotype macrophages (M1). This further exacerbated the inflammatory response and pyroptosis in vivo and in vitro. Additionally, IL-27 down-regulated p-AMPK and SIRT1 protein expression while overexpressing macrophage inflammatory mediators including IL-1β/6 and TNFα. Furthermore, IL-27 promoted increased RAGE and caspase-11 protein expression, aggravating macrophage pyroptosis. Employing CC to block the AMPK pathway further aggravated M1 macrophage polarization and pyroptosis in vitro and in vivo, ultimately worsening liver injury. Here, IL-27 aggravates AHI by promoting macrophage M1 polarization to induce caspase-11-mediated pyroptosis in vitro and in vivo, which may be linked to the AMPK/SIRT1 signaling pathway. Show less
no PDF DOI: 10.1016/j.cyto.2025.156881
IL27

Multi-Angle Bioactivity Cartography for Computational Screening and Mechanistic Analysis of AChE Inhibitors From Yellow Gastrodia elata.

Ruijun Sun, Yuchi Zhang, Jingying Xu +7 more · 2025 · Archiv der Pharmazie · Wiley · added 2026-04-24
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-se Show more
Acetylcholinesterase (AChE) inhibitors are crucial for the symptomatic management of Alzheimer's disease (AD), with natural products-particularly botanical sources like Yellow Gastrodia elata (YGE)-serving as promising reservoirs of such inhibitors. Nevertheless, comprehensive screening and mechanistic characterization of their inhibitory potential remain limited. This study sought to identify potent AChE inhibitors from YGE, investigate their mechanisms of action, and assess their therapeutic prospects for AD. Methodologically, an integrated approach was employed, combining ultrafiltration-liquid chromatography (UF-LC) for rapid inhibitor screening, molecular docking and dynamics simulations for mechanistic insight, two-stage high-speed countercurrent chromatography for compound isolation, enzyme kinetics to delineate inhibition modalities, and network pharmacology to uncover relevant AD-related targets. The findings identified seven active constituents with notable AChE inhibition, among which parishins A and G were obtained at high purity (98.26% and 97.26%, respectively) and exhibited mixed-type inhibition with low IC Show less
no PDF DOI: 10.1002/ardp.70174
BACE1

Development of a nomogram model for predicting coronary heart disease in patients with metabolic-associated fatty liver disease.

Zhengliang Li, Xiaokai Chen, Juan Wang +6 more · 2025 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
To investigate the risk factors associated with coronary heart disease (CHD) in patients with metabolic-associated fatty liver disease (MAFLD) and develop a nomogram prediction model. This study inclu Show more
To investigate the risk factors associated with coronary heart disease (CHD) in patients with metabolic-associated fatty liver disease (MAFLD) and develop a nomogram prediction model. This study included 394 patients with MAFLD who underwent coronary angiography at The Affiliated Hospital of Qingdao University between December 2019 and December 2024. The study cohort was divided in a 7:3 ratio into training and validation sets comprising 277 and 117 cases, respectively. The training group was further divided into the MAFLD-only ( Of the 394 MAFLD cases, 313 had CHD-related complications. Of the 277 patients in the training set, 220 had CHD, and of the 117 patients in the validation set, 93 had CHD. LASSO regression analysis revealed that the following variables were associated with the risk of CHD: sex, lipoprotein(a) (Lp[a]), low-density lipoprotein cholesterol, white blood cell count (WBC), glycated triglyceride-glucose index (TyG), and atherosclerosis index (AIP). Multivariate logistic regression analysis revealed that sex, Lp(a), WBC, TyG, and AIP were independent risk factors for CHD in MAFLD cases. A nomogram was constructed and an ROC curve was plotted, based on which the optimal cutoff value was determined as 0.698. The area under the curve of the nomogram in the training and validation cohorts was 0.860 (95% CI = 0.807-0.913) and 0.843 (95% CI = 0.757-0.929), respectively. Calibration curves for CHD risk probability showed good agreement between the nomogram's predicted probabilities and the observed event rates. DCA demonstrated the net clinical benefit of the constructed nomogram. Sex, Lp(a), WBC, TyG, and AIP emerged as independent risk factors for CHD in patients with MAFLD and the nomogram prediction model constructed using these factors could effectively predict CHD occurrence. Show less
📄 PDF DOI: 10.3389/fcvm.2025.1652321
LPA

Genetic Insights Into Lipid Traits and Lipid-Modifying Drug Targets in Pregnancy Complications: A Two-Sample Mendelian Randomization Study.

Huijing Shao, Chang Xu, Caihong Zhang +4 more · 2025 · International journal of women's health · added 2026-04-24
Dyslipidemia is linked to pregnancy complications, but its causal role remains uncertain. This two-sample Mendelian Randomization (MR) study investigated the causal relationship between lipid traits a Show more
Dyslipidemia is linked to pregnancy complications, but its causal role remains uncertain. This two-sample Mendelian Randomization (MR) study investigated the causal relationship between lipid traits and pregnancy complications and evaluated the impact of lipid-modifying drug targets. Genetic instruments for lipid traits and targets for lipid-modifying drugs were obtained from the Global Lipids Genetics Consortium. Three pregnancy complications' summary statistics came from the FinnGen R9 database. Significant drug targets underwent further analysis using Expression Quantitative Trait Loci data, and mediation analysis identified potential mediators. Increased high-density lipoprotein cholesterol (HDL-C) reduced the incidence of preeclampsia (OR: 0.755, 95% CI: 0.639-0.891, p=0.001, FDR=0.012) and gestational diabetes mellitus (GDM) (OR: 0.835, 95% CI: 0.741-0.942, p=0.003, FDR=0.018). Genetic proxies for cholesteryl ester transfer protein ( Elevated HDL-C levels help prevent preeclampsia and GDM. Show less
📄 PDF DOI: 10.2147/IJWH.S496268
CETP

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media.

Alexa Canchola, Keyuan Li, Kunpeng Chen +12 more · 2025 · ACS nano · ACS Publications · added 2026-04-24
A comprehensive understanding of protein corona (PC) composition is critical for engineering nanoparticles (NPs) with optimal safety and therapeutic performance, because the PC governs NP pharmacokine Show more
A comprehensive understanding of protein corona (PC) composition is critical for engineering nanoparticles (NPs) with optimal safety and therapeutic performance, because the PC governs NP pharmacokinetics, biodistribution, and cellular interactions. Yet systematic analyses are hampered by the absence of standardized, richly annotated data sets. Here, we introduce the Protein Corona Database (PC-DB), which compiles data from 83 studies (2000-2024) and integrates 817 NP formulations with quantitative profiles of 2497 adsorbed proteins. The PC-DB exposes pronounced heterogeneity in NP materials (metal 28.8%, silica 22.8%, lipid-based 14.8%), surface modifications, sizes (1-1400 nm), and ζ-potentials (-70 to +70 mV). Subsequent meta-analysis shows that silica, polystyrene, and lipid-based NPs smaller than 100 nm with moderately negative to neutral ζ-potentials preferentially bind the lipoproteins APOE and APOB-100, which are linked to receptor-mediated uptake and enhanced delivery efficiency. In contrast, metal and metal-oxide NPs carrying highly negative surface charge enrich complement component C3, indicating a greater likelihood of immune recognition and clearance. Interpretable machine learning models (LightGBM and XGBoost; ROC-AUC > 0.85) confirm NP size, ζ-potential, and incubation time as the most influential predictors of protein adsorption. These results delineate how physicochemical parameters dictate PC composition and illustrate the power of predictive modeling to guide rational NP design. Show less
📄 PDF DOI: 10.1021/acsnano.5c08608
APOB

The association between APOE allele variants and inflammatory markers in a large-scale Chinese population.

Boyang Zeng, Cong Ma, Shuaishuai Zhang +18 more · 2025 · Lipids in health and disease · BioMed Central · added 2026-04-24
Current evidence suggests that apolipoprotein E (APOE) is associated with lipid metabolism, cardiovascular diseases, and neurodegenerative disorders. However, the physiological pathways of APOE-mediat Show more
Current evidence suggests that apolipoprotein E (APOE) is associated with lipid metabolism, cardiovascular diseases, and neurodegenerative disorders. However, the physiological pathways of APOE-mediated inflammation remain incompletely elucidated, and a specific inflammatory marker that captures the pro-inflammatory activity of the APOE ε4 allele remains elusive. As a composite peripheral blood biomarker, Systemic immune-inflammation index (SII) is a novel marker of inflammation. This study aimed to investigate the association between APOE alleles and Systemic Immune-Inflammation Index. A total of 13,926 participants (9,098 males and 4,828 females) were recruited from The People’s Liberation Army General Hospital (November 2017 to July 2019). APOE alleles (ε2, ε3, and ε4) were determined by genotyping rs429358 and rs7412 SNPs. SII was calculated as (platelet count × neutrophil count)/lymphocyte count. Multivariable linear regression models (adjusted for demographics, lifestyle, and clinical covariates) and subgroup analyses were performed to assess the APOE-SII associations, with ε3 as the reference. The frequencies of APOE alleles ɛ3, ɛ2, and ɛ4 were70.7%, 13.8%, and 15.5% respectively in 13,926 Chinese patients. The mean SII was lower in ɛ2 carriers than in ɛ3 (373.74*10⁹/L vs. 403.53*10⁹/L, APOE contributes to elevated disease risk by inducing a state of chronic low-grade inflammation, resulting from modulation of both adaptive and innate immune responses. Show less
📄 PDF DOI: 10.1186/s12944-025-02842-w
APOE

New advances in novel pharmacotherapeutic candidates for the treatment of metabolic dysfunction-associated steatohepatitis (MASH) between 2022 and 2024.

Shu Wei Wong, Yong-Yu Yang, Hui Chen +4 more · 2025 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hep Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hepatic fibrosis, further progressing to cirrhosis and hepatocellular carcinoma (HCC). MASLD has become a prevalent disease with 25% in average over the world. MASH is an active stage, and requires pharmacological intervention when there is necroptotic damage with fibrotic progression. Although there is an increased understanding of MASH pathogenesis and newly approved resmetirom, given its complexity and heterogeneous pathophysiology, there is a strong necessity to develop more drug candidates with better therapeutic efficacy and well-tolerated safety profile. With an increased list of pharmaceutical candidates in the pipeline, it is anticipated to witness successful approval of more potential candidates in this fast-evolving field, thereby offering different categories of medications for selective patient populations. In this review, we update the advances in MASH pharmacotherapeutics that have completed phase II or III clinical trials with potential application in clinical practice during the latest 2 years, focusing on effectiveness and safety issues. The overview of fast-evolving status of pharmacotherapeutic candidates for MASH treatment confers deep insights into the key issues, such as molecular targets, endpoint selection and validation, clinical trial design and execution, interaction with drug administration authority, real-world data feedback and further adjustment in clinical application. Show less
no PDF DOI: 10.1038/s41401-024-01466-7
GIPR

Understanding the activation mechanism of GLP-1R/GIPR by dual agonist Tirzepatide via molecular dynamics and protein-peptide binding.

Xuejun Zou, Yu He, Ya Gao +2 more · 2025 · International journal of biological macromolecules · Elsevier · added 2026-04-24
GLP-1 has become a prime target for medical treatment due to its significant therapeutic efficacy. However, the activation mechanisms of class B1 GPCRs, including glucagon-like peptides (GLP-1) and gl Show more
GLP-1 has become a prime target for medical treatment due to its significant therapeutic efficacy. However, the activation mechanisms of class B1 GPCRs, including glucagon-like peptides (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP), remain poorly understood. This study focuses on understanding the activation mechanisms of the GLP-1 receptor (GLP-1R) by investigating its conformational changes from activated/inactivated to inactivated/activated states. By analyzing the dynamic conformational changes of the receptor during activation, a closure-open transition in the extracellular domain (ECD) and a movement trend of the transmembrane helices are observed, which indicates a similarity to the activation mechanism of class A GPCRs. Furthermore, the binding characteristics of a dual agonist Tirzepatide (LY3298176) is studied in detail and it is revealed that the conserved residues contribute in a similar fashion toward binding to both GLP-1R and GIPR. Mutations in non-conserved residues in Tirzepatide affect the binding affinity, with C-terminal mutations weakening the binding affinity toward GLP-1R, while N-terminal mutations enhancing the affinity to GIPR, resulting in a biased binding mode. These findings enriched our fundamental understanding of GLP-1R/GIPR activation and provided theoretical guidance for the design and development of future peptide-based agonists and offer insights into the optimization of other dual or multi-target agonists. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.146141
GIPR

TRIM21-driven K63-linked ubiquitination of RBM38c, as a novel interactor of BECN1, contributes to DNA damage-induced autophagy.

Lishenglan Xia, Yusheng Xing, Xinjia Ye +6 more · 2025 · Cell death and differentiation · Nature · added 2026-04-24
Autophagy is essential in DNA damage response by limiting damage, but its responsive activation remains unclear. RBM38 (RBM38a), an RNA-binding protein, regulates mRNA metabolism and plays a key role Show more
Autophagy is essential in DNA damage response by limiting damage, but its responsive activation remains unclear. RBM38 (RBM38a), an RNA-binding protein, regulates mRNA metabolism and plays a key role in controlling cell cycle progression, senescence, and cancer. In this study, we uncovered a novel primate-specific isoform, RBM38c, with 32 extra amino acids from exon 2, which imparts a distinct capacity to promote autophagy upon DNA damage. TP53 increases RBM38c expression upon DNA damage, while TRIM21 facilitates its K63-linked ubiquitination at lysine (K) 35. Activated RBM38c enhances its interaction with BECN1, promoting the formation of the ATG14-containing PtdIns3K-C1 complex and thus autophagy initiation. A K35R mutation or TRIM21 deficiency impairs RBM38c ubiquitination, preventing autophagy activation upon DNA damage. Moreover, RBM38c-driven autophagy protects cells from DNA damage-induced apoptosis and promotes survival, with this beneficial effect susceptible to suppression by the autophagy inhibitor 3-methyladenine. Consequently, depleting RBM38c enhances the efficacy of DNA-damaging drugs by impairing autophagy and increasing DNA damage. Clinical lung cancer samples show a positive correlation between RBM38c expression and LC3 expression, and this correlation is linked to chemotherapy resistance. Together, our study reveals a novel mechanism for DNA damage-induced autophagy, involving K63-linked ubiquitination of RBM38c as a critical interactor with BECN1. Show less
no PDF DOI: 10.1038/s41418-025-01480-0
PIK3C3

Primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma with novel FGFR1 fusion treated with pemigatinib.

Carlos A Torres-Cabala, Julia Arreola Yescas, Yue Zhang +11 more · 2025 · Blood advances · added 2026-04-24
📄 PDF DOI: 10.1182/bloodadvances.2024014928
FGFR1

Genome-wide analysis identifies susceptibility loci for heart failure and nonischemic cardiomyopathy subtype in the East Asian populations.

Yi Han, Yun Hong, Yan Gao +11 more · 2025 · PLoS genetics · PLOS · added 2026-04-24
Heart failure (HF) is a serious cardiovascular condition resulting from abnormalities in multiple biological processes, affecting over 64 million people worldwide. We sought to expand our understandin Show more
Heart failure (HF) is a serious cardiovascular condition resulting from abnormalities in multiple biological processes, affecting over 64 million people worldwide. We sought to expand our understanding of the genetic basis of HF and more specific NICM subtype in the East Asian populations and evaluate the biological pathways underlying subclinical left ventricular dysfunction. We conducted a meta-analysis of genome-wide association studies (GWAS) for all-cause HF in the East Asian populations (N cases ~ 13,385) and a more precise definition of nonischemic cardiomyopathy (NICM) subtype in multi-ancestry populations (N cases~3,603). We identified a low-frequency East-Asian enriched coding variant near MYBPC3 and a NICM specific locus. Follow up analyses demonstrated male-specific HF association at the MYBPC3 locus, and highlighted SVIL as a candidate causal gene for NICM. Moreover, we demonstrated that SVIL deficiency aggravated cardiomyocyte hypertrophy, apoptosis and impaired cell viability in phenylephrine (PE)-treated H9C2 cells. In addition, the gene expression level of B-type natriuretic peptide (BNP) which was deemed as a hallmark for HF was further elevated by SVIL silencing in PE-stimulated H9C2 cells. RNA-sequencing analysis of H9C2 cells revealed that the function of SVIL might be mediated through pathways relevant to regulation and differentiation of heart muscle. These results enhance our understanding of the genetic architecture of HF in the East Asian populations, and provide important insight into the biological pathways underlying NICM and sex-specific relevance of the MYBPC3 locus that warrants further replication in another datasets. Show less
📄 PDF DOI: 10.1371/journal.pgen.1011897
MYBPC3

Myocardial dysfunction caused by MyBPC3 P459fs mutation in hypertrophic cardiomyopathy: evidence from multi-omics approaches and super-resolution imaging.

Yupeng Wu, Yuzhu Zhang, Qirui Zheng +5 more · 2025 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Mutations in the sarcomere protein, particularly in cardiac myosin binding protein C gene ( We used multi-omics approaches and super-resolution imaging to explore the effects of MyBPC3 P459fs mutation Show more
Mutations in the sarcomere protein, particularly in cardiac myosin binding protein C gene ( We used multi-omics approaches and super-resolution imaging to explore the effects of MyBPC3 P459fs mutation on humans and cells. HCM patients carrying MyBPC3 P459fs mutation (MyBPC3-P459fs HCMs) and healthy controls (HCs) were evaluated for myocardial function using both conventional and advanced echocardiography. In parallel, H9C2 myocardial cells infected with either MyBPC3 P459fs mutation (P459fs cells) or its wild type (WT cells) were investigated for myocardial fiber formation and the potential pathways behind this using super-resolution imaging and metabolomics and proteomics. First, conventional and advanced echocardiography showed that MyBPC3-P459fs HCMs exhibited left ventricular diastolic and systolic dysfunction. Subsequently, super-resolution imaging indicated that P459fs cells formed fewer and shorter myocardial fibers in the cytoplasm compared to WT cells. Moreover, our metabolomic and proteomic data suggested several key components of mitochondrial membrane integrity, myocardial remodeling, myocardial energy metabolism, oxidative stress, inflammation, and actin binding capacity were significantly altered in response to P459fs mutation. This investigation indicated myocardial dysfunction and myocardial fiber disarray in clinical HCMs with MyBPC3 P459fs mutation and added potential pathways underlying this. These findings provided a link between the observed structural and functional disorders in MyBPC3 P459fs mutation and its onset of HCM pathogenesis and might have a significant translational contribution to effective treatment in HCM patients with MyBPC3 P459fs mutation. Show less
📄 PDF DOI: 10.3389/fcvm.2025.1529921
MYBPC3

ChREBP drives fibroblast proliferation and promotes pulmonary fibrosis development.

Jian Zheng, Yang Zhang, Yan Chen +1 more · 2025 · Cytokine · Elsevier · added 2026-04-24
The study aimed to investigate the role of carbohydrate-responsive element-binding protein (ChREBP) in the pathogenesis of pulmonary fibrosis (PF) by assessing its impact on fibrotic protein expressio Show more
The study aimed to investigate the role of carbohydrate-responsive element-binding protein (ChREBP) in the pathogenesis of pulmonary fibrosis (PF) by assessing its impact on fibrotic protein expression, fibroblast proliferation, and apoptosis in lung tissues. The PF model was established using bleomycin, and pathological changes in lung tissues were assessed through histopathological analysis. Expression levels of inflammatory markers and fibrotic proteins, including ChREBP, were measured using Western blot and ELISA. Additionally, human embryonic lung fibroblasts (MRC-5) were transfected with ChREBP overexpression or silencing vectors following TGF-β1 induction to examine changes in cellular behavior, including viability, apoptosis, and fibrotic protein expression. The PF model group showed significant alveolar structural abnormalities and elevated levels of TNF-α, MMP-7 and TGF-β1. ChREBP expression was markedly increased in fibrotic tissues (P < 0.05). In vitro, ChREBP overexpression in MRC-5 cells enhanced fibrotic protein levels, increased cell viability, and reduced apoptosis rates. Conversely, silencing ChREBP reduced fibrotic protein expression, inhibited fibroblast proliferation, and increased apoptosis (P < 0.05). These findings suggest that ChREBP plays a key role in modulating fibrosis-related pathways in PF. ChREBP is substantially upregulated in PF and plays a key role in promoting fibroblast proliferation and inhibiting apoptosis. These findings suggest that targeting ChREBP may present a novel therapeutic strategy for treating pulmonary fibrosis by modulating fibrotic and apoptotic pathways. Show less
no PDF DOI: 10.1016/j.cyto.2025.156906
MLXIPL

Prediction model and significance of myocardial injury induced by fluorouracil combined with platinum-based chemotherapy in advanced gastric cancer based on baseline data and inflammation-nutrition-atherosclerosis factors.

Tian Zhang, Feifei Kong, Lei Cao +1 more · 2025 · Frontiers in medicine · Frontiers · added 2026-04-24
To develop and evaluate a predictive model for myocardial injury in patients with advanced gastric cancer treated with fluorouracil plus platinum-based chemotherapy, incorporating baseline characteris Show more
To develop and evaluate a predictive model for myocardial injury in patients with advanced gastric cancer treated with fluorouracil plus platinum-based chemotherapy, incorporating baseline characteristics and inflammatory, nutritional, and atherosclerotic factors. A total of 268 patients with advanced gastric cancer who received this treatment between April 2020 and September 2024 were selected and divided into a training set ( In the training set, 56 patients (29.79%) developed myocardial injury, while 23 patients (28.75%) in the validation set developed myocardial injury, with no statistically significant difference in the incidence or clinical characteristics between the two sets ( This predictive model aids in the early identification of myocardial injury, guiding clinical decision-making and improving prognosis. Show less
📄 PDF DOI: 10.3389/fmed.2025.1700554
LPA

Current status of career adaptability among Chinese cardiovascular specialist nurses: a latent profile analysis.

Yanling Du, Chao Wu, Ziyue Gai +6 more · 2025 · BMC nursing · BioMed Central · added 2026-04-24
This study aimed to explore the career adaptability status of cardiovascular specialist nurses (CSNs) through latent profile analysis (LPA), identify distinct subgroups and their demographic features, Show more
This study aimed to explore the career adaptability status of cardiovascular specialist nurses (CSNs) through latent profile analysis (LPA), identify distinct subgroups and their demographic features, and determine factors influencing different adaptability categories. CSNs play a vital role in treating and rehabilitating patients with cardiovascular conditions. However, the existing literature offers limited insights into the career adaptability of CSNs in China. A multicenter, cross-sectional survey involving 659 Chinese CSNs was conducted. LPA was utilized to classify career adaptability profiles based on responses to the Career Adaptation Abilities Scale Short Form (CAAS-SF). Influencing factors were assessed using the Conditions of Work Effectiveness Questionnaire-II (CWEQ-II) and the General Self-Efficacy Scale (GSES). Differences among identified profiles were analyzed through ANOVA, chi-square tests, and multinomial logistic regression to explore relevant socio-demographic characteristics and influencing variables. A four-profile model provided the best fit, identifying groups labeled as “high adaptability” (Class 4, These findings provide evidence to assist nursing administrators in developing training programs to enhance CSNs’ career adaptability. The variables identified as associated with profile membership may enable more tailored training strategies. Show less
📄 PDF DOI: 10.1186/s12912-025-03887-z
LPA

[Mechanism of astragaloside Ⅳ intervention in endothelial-mesenchymal transition of ApoE~(-/-) atherosclerosis mice via energy metabolic reprogramming pathway].

Mei-Jun Lyu, Dong-Yu Min, Lian-Qun Jia +2 more · 2025 · Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica · added 2026-04-24
To explore the mechanism of astragaloside Ⅳ in regulating energy metabolic reprogramming, alleviating endothelial-to-mesenchymal transition(EndMT), and preventing atherosclerosis(AS) in ApoE~(-/-) AS Show more
To explore the mechanism of astragaloside Ⅳ in regulating energy metabolic reprogramming, alleviating endothelial-to-mesenchymal transition(EndMT), and preventing atherosclerosis(AS) in ApoE~(-/-) AS mice, ApoE~(-/-) AS mouse models were established by high-fat feeding and randomly divided into three groups: model group, astragaloside Ⅳ group, and blank control group. The mice in the astragaloside Ⅳ group were administered astragaloside Ⅳ via gavage at a dose of 40 mg·kg~(-1)·d~(-1), while mice in the blank control group and model group received an equal volume of normal saline via gavage for four consecutive weeks. The blood lipid levels of mice in each group were measured using an automatic biochemical analyzer. Hematoxylin-eosin(HE) staining was used to observe the pathomorphological changes in the mouse aorta. The degree of EndMT was detected by immunofluorescence, and the protein expression levels of α-smooth muscle actin(α-SMA) and vascular endothelial cadherin(VE-cadherin) in the aorta were detected by Western blot. Targeted energy metabolomics technology was used to qualitatively and quantitatively analyze the spectrum of serum energy metabolites in mice, followed by KEGG pathway enrichment analysis of differential metabolites. The expression of glycolysis-related genes was detected using RT-PCR. The results showed that astragaloside Ⅳ significantly reduced the levels of serum total cholesterol(TC), triglyceride(TG), and low-density lipoprotein cholesterol(LDL-C) while increasing high-density lipoprotein cholesterol(HDL-C) levels. It reduced atherosclerotic plaque formation, decreased the number of α-SMA and VE-cadherin double staining positive cells, downregulated the protein expression of mesenchymal cell surface antigen α-SMA, and upregulated the protein expression of endothelial cell surface antigen VE-cadherin. Targeted energy metabolomics analysis shows that astragaloside Ⅳ restored nine altered energy metabolites in the serum. The pathway enrichment analysis indicated that serum differential metabolites were mainly enriched in glycolytic pathways. RT-PCR detection revealed that astragaloside Ⅳ significantly downregulated the mRNA expression of key glycolytic enzymes, including hexokinase-Ⅱ(HK-Ⅱ), phosphofructokinase(PFKM), and pyruvate kinase M2(PKM2). These results suggest that astragaloside Ⅳ may ameliorate AS by inhibiting the excessive activation of glycolysis, modulating energy metabolic reprogramming, and alleviating EndMT. Show less
no PDF DOI: 10.19540/j.cnki.cjcmm.20250711.501
APOE

Genetic association of lipids characteristics and lipid lowering drug target genes with sepsis.

Yu Wang, Haiyue Zhang, Yuanyuan Zhan +4 more · 2025 · PloS one · PLOS · added 2026-04-24
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship Show more
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship between blood lipid profiles and sepsis risk remains uncertain. This study aims to investigate the association between genetically predicted lipid traits, drug targets, and sepsis. The UK Biobank's Genome-wide association studies (GWAS) produced data on lipid and apolipoprotein characteristics. Four independent GWAS datasets were used to generate the sepsis statistics. The study utilized the two-sample Mendelian randomization (MR) approach, which incorporates multivariable (MVMR) models, to assess the correlations between sepsis risk and lipid-related parameters. To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering. Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861-0.999; p = 0.047). This inverse correlation persevered even after performing multivariable MR. Elevated levels of HDL-C were associated with a decreased risk of sepsis (under 75) (OR 0.897, 95% CI 0.838-0.960; P = 0.002) and incidence of sepsis (OR 0.883, 95% CI 0.820-0.951; P = 0.001), which was consistent across sensitivity analyses. Furthermore, a decrease in total cholesterol exhibited a causal effect on sepsis in multivariable MR (OR 0.779, 95% CI 0.642-0.944; P = 0.01). The genetic variants related to lowering LDL-C, located near the HMGCR and LDLR genes, were predicted to elevate the risk of sepsis. Moreover, genetic mimicry near the ANGPTL3 and LPL gene suggested that reducing the activity of ANGPTL3 and LPL (mimicking antisense anti-ANGPTL3 and LPL agents) was forecasted to decrease sepsis risk. Genetically inferred elevated ApoA-1, total cholesterol, and HDL-C manifest a protective effect against sepsis. Within the 9 lipid-lowering drug targets investigated ANGPTL3 and LPL exhibit potential as candidate drug targets for sepsis. Show less
📄 PDF DOI: 10.1371/journal.pone.0331023
LPL

Regulation of partial endothelial-to-mesenchymal transition by circATXN1 in ischemic diseases.

Yue Li, Zhe Zheng, Yanze Li +14 more · 2025 · Nature communications · Nature · added 2026-04-24
Ischemic injury induces a partial mesenchymal shift in endothelial cells (ECs), contributing to impaired vascular regeneration. However, the molecular regulators of this transitional state remain poor Show more
Ischemic injury induces a partial mesenchymal shift in endothelial cells (ECs), contributing to impaired vascular regeneration. However, the molecular regulators of this transitional state remain poorly defined. To address this, we performed circular RNA profiling of endothelial cells under ischemic-like conditions and identified a marked upregulation of a circular RNA, named circATXN1. Functional studies revealed that circATXN1 knockdown modulates endothelial phenotype and vascular response after ischemia. Functional studies have shown that knockdown of circATXN1 can regulate the endothelial cell phenotype and vascular response after ischemia. Mechanistically, circATXN1 knockdown enhances the demethylase protein ALKBH5 to reduce the RNA methylation level of the key transcription factor SLUG, thereby stabilizing SLUG. In animal models, suppression of circATXN1 enhances angiogenesis and improves recovery following ischemic injury. Here, we show that circATXN1 regulates partial endothelial-to-mesenchymal transition (EndMT) and angiogenesis by controlling SLUG mRNA methylation dynamics, highlighting its potential as a therapeutic target in ischemic disease. Show less
no PDF DOI: 10.1038/s41467-025-61596-2
SNAI1

Loss of C-Terminal Coiled-Coil Domains in SDCCAG8 Impairs Centriolar Satellites and Causes Defective Sperm Flagellum Biogenesis and Male Fertility.

Kecheng Li, Xiaoli Zhou, Wenna Liu +4 more · 2025 · Cells · MDPI · added 2026-04-24
Sperm flagellum defects are tightly associated with male infertility. Centriolar satellites are small multiprotein complexes that recruit satellite proteins to the centrosome and play an essential rol Show more
Sperm flagellum defects are tightly associated with male infertility. Centriolar satellites are small multiprotein complexes that recruit satellite proteins to the centrosome and play an essential role in sperm flagellum biogenesis, but the precise mechanisms underlying this role remain unclear. Show less
📄 PDF DOI: 10.3390/cells14151135
BBS4

Targeting polyunsaturated fatty acids desaturase FADS1 inhibits renal cancer growth via ATF3-mediated ER stress response.

Gioia Heravi, Zhenjie Liu, Mackenzie Herroon +11 more · 2025 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Fatty Acid Desaturase 1 (FADS1) is a rate-limiting enzyme controlling the bioproduction of long-chain polyunsaturated fatty acids (PUFAs). Increasing studies suggest that FADS1 is a potential cancer t Show more
Fatty Acid Desaturase 1 (FADS1) is a rate-limiting enzyme controlling the bioproduction of long-chain polyunsaturated fatty acids (PUFAs). Increasing studies suggest that FADS1 is a potential cancer target. Our previous research has demonstrated the significant role of FADS1 in cancer biology and patient survival, especially in kidney cancers. We aim to explore the underlying mechanism in this study. We found that pharmacological inhibition or knockdown of the expression of FADS1 significantly reduced the intracellular conversion of long-chain PUFAs, effectively inhibits renal cancer cell proliferation, and induces cell cycle arrest. The stable knockdown of FADS1 also significantly inhibits tumor formation in vivo. Mechanistically, we showed that while FADS1 inhibition induces endoplasmic reticulum (ER) stress, FADS1 expression is augmented by ER-stress inducer, suggesting a necessary role of PUFA production in response to ER stress. FADS1-inhibition sensitized cellular response to ER stress inducers, leading to cell apoptosis. Also, FADS1 inhibition-induced ER stress leads to activation of the PERK/eIF2α/ATF4/ATF3 pathway. Inhibiting PERK or knockdown of ATF3 rescued FADS1 inhibition-induced ER stress and cell growth suppression, while ATF3-overexpression aggravates the FADS1 inhibition-induced cell growth suppression and leads to cell death. Metabolomic analysis revealed that FADS1 inhibition results in decreased level of UPD-N-Acetylglucosamine, a critical mediator of the unfolded protein response, as well as impaired biosynthesis of nucleotides, possibly accounting for the cell cycle arrest. Our findings suggest that PUFA desaturation is crucial for rescuing cancer cells from persistent ER stress, supporting FADS1 as a new therapeutic target. Show less
📄 PDF DOI: 10.1016/j.biopha.2025.118006
FADS1

Bioinformatic Analysis for Exploring Target Genes and Molecular Mechanisms of Cadmium-Induced Nonalcoholic Fatty Liver Disease and Targeted Drug Prediction.

Le Zhang, Rui Wang, Qian Xue +7 more · 2025 · Journal of applied toxicology : JAT · Wiley · added 2026-04-24
Cadmium (Cd) is a widely available metal that has been found to have a role in causing nonalcoholic fatty liver disease (NAFLD). However, the detailed toxicological targets and mechanisms by which Cd Show more
Cadmium (Cd) is a widely available metal that has been found to have a role in causing nonalcoholic fatty liver disease (NAFLD). However, the detailed toxicological targets and mechanisms by which Cd causes NAFLD are unknown. Therefore, the present work aims to reveal the main targets of action, cellular processes, and molecular pathways by which cadmium causes NAFLD. As shown in the bioinformatics analysis, there were 74 main targets of action for cadmium-induced NAFLD, hemopoietic cell kinase (HCK), EPH receptor A2 (EPHA2), MYC proto-oncogene (MYC), lysyl oxidase (LOX), dipeptidyl peptidase 7 (DPP7), nuclear factor erythroid 2-related factor 2 (NFE2L2), dual specificity phosphatase 6 (DUSP6), CD2 cytoplasmic tail binding protein 2 (CD2BP2), notch receptor 3 (NOTCH3), and phospholipase A2 group IVA (PLA2G4A) were screened as core genes. Testing these core genes in other databases, three differentially expressed genes, HCK, MYC, and DUSP6 were verified and used as targets for drug prediction in DsigDB; decitabine and retinoic acid were screened as potential therapeutic drugs for NAFLD based on the p-value and the combined score. The results of molecular docking showed that the predicted drugs can bind well to the core targets. In conclusion, cadmium is associated with NAFLD; the identified cadmium-toxicity targets, HCK, MYC, and DUSP6, may serve as biomarkers for the diagnosis of NAFLD and predicted drugs, decitabine and retinoic acid may have a potential role in the treatment of NAFLD. Show less
no PDF DOI: 10.1002/jat.4752
DUSP6