👤 Xipeng 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, 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, 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

Monitoring Partial EMT Dynamics through Cell Mechanics Using Scanning Ion Conductance Microscopy.

Xufang Zhang, Xueqia Zhang, Mingkun Li +2 more · 2024 · Analytical chemistry · ACS Publications · added 2026-04-24
Tumor cells undergo an epithelial-mesenchymal transition (EMT) accompanied by a reduction in elasticity to initiate metastasis. However,
no PDF DOI: 10.1021/acs.analchem.4c02612
SNAI1

Effects of Dietary Supplementation with Chitosan on the Muscle Composition, Digestion, Lipid Metabolism, and Stress Resistance of Juvenile Tilapia (

Qin Zhang, Yi Xie, Yuanhui Zhang +4 more · 2024 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The aim of this study was to investigate the effects of dietary chitosan supplementation on the muscle composition, digestion, lipid metabolism, and stress resistance, and their related gene expressio Show more
The aim of this study was to investigate the effects of dietary chitosan supplementation on the muscle composition, digestion, lipid metabolism, and stress resistance, and their related gene expression, of juvenile tilapia ( Show less
📄 PDF DOI: 10.3390/ani14040541
LPL

A retrospective study of Parkinson's disease in Southwest China 2021-2024: An age-based approach.

Canrong Chen, Ding Zhang, Feiyu Chen +4 more · 2024 · Experimental gerontology · Elsevier · added 2026-04-24
Globally, Parkinson's disease (PD) is one of the common neurodegenerative diseases in the elderly with increasing morbidity and disability, and its clinical pathogenesis is not clear. To compare the d Show more
Globally, Parkinson's disease (PD) is one of the common neurodegenerative diseases in the elderly with increasing morbidity and disability, and its clinical pathogenesis is not clear. To compare the differences in disease severity and blood biomarkers levels and their correlation between patients with early-onset Parkinson's disease (EOPD) and late-onset Parkinson's disease (LOPD). A total of 342 patients diagnosed with PD were retrospectively collected. PD patients were categorized into EOPD (24 patients) and LOPD (318 patients) according to the age of onset of the disease. The Hoehn-Yahr (HY) staging was used to assess the severity of the disease in PD patients. Subjective rating scales such as the Mini-mental State Examination (MMSE) were used to assess the motor and non-motor functions of the patients. The differences of objective blood biomarkers such as triglyceride (TG) between the two groups were investigated. The correlation between them and PD was explored by logistic analysis. Percentage of EOPD group with HY staged as intermediate to late and Scales for Outcomes in Parkinson's Disease-Autonomic (SCOPA-AUT), Movement Disorder Society-Unified Parkinson's disease Rating Scale-III (MDS-UPDRS-III), Montreal Cognitive Assessment (MoCA) score and TG, non-high-density lipoprotein-cholesterol (N-HDL-C), homocysteine (HCY), apolipoprotein B (Apo-B), free triiodothyronine (FT3), free thyroxine (FT4), high-sensitivity C-reactive protein (hs-CRP) levels were lower than those in the LOPD group (P < 0.05); and the proportion of HY staged as early stage, Hamilton Anxiety Scale (HAMA) and Fatigue severity scale (FSS) scores and the levels of vitamin B12 were higher than those in the LOPD group (P < 0.05). The results of Multifactorial Logistic regression analysis showed that N-HDL-C [OR = 1.409, 95 % CI (1.063, 1.868)], Apo-B [OR = 0.797, 95 % CI (0.638, 0.997)], Vitamin B12 [OR = 0.992, 95 % CI (0.987, 0.998)] and hs-CRP [OR = 1.124, 95 % CI (1.070, 1.182)] were independent factors affecting the severity of PD, with significant differences between groups (P < 0.05). N-HDL-C, Apo-B, Vitamin B12, and hs-CRP levels play an important role in the progression of PD. Show less
no PDF DOI: 10.1016/j.exger.2024.112532
APOB

Efficacy of Jiangzhi Mai'an Granules in the treatment of stable angina pectoris with phlegm and blood stasis obstruction and carotid artery plaque: A prospective randomized study.

Jianhua Fan, Chang Yu, Huan Tang +8 more · 2024 · Medicine · added 2026-04-24
Stable angina pectoris, resulting from coronary artery atherosclerosis, significantly affects quality of life and carries a high risk of cardiovascular events. Despite modern therapies, managing this Show more
Stable angina pectoris, resulting from coronary artery atherosclerosis, significantly affects quality of life and carries a high risk of cardiovascular events. Despite modern therapies, managing this condition remains challenging. Traditional Chinese medicine (TCM) views it as a syndrome of heart meridian obstruction by phlegm and blood stasis, necessitating improved circulation and phlegm resolution. This study aims to evaluate the efficacy of Jiangzhi Mai'an Granules, a TCM formulation, in treating stable angina pectoris and carotid atherosclerosis, with the goal of integrating TCM with Western medicine to enhance clinical outcomes and patients' quality of life. A total of 120 patients diagnosed with stable angina pectoris and carotid atherosclerotic plaques of the phlegm and blood stasis types were randomly divided into 2 groups. The control group (n = 60) received standard Western medical treatment, whereas the treated group (n = 60) received JZMA in addition to the standard regimen. The treatment duration in both the groups was 3 months. The outcomes measured included carotid intima-media thickness (CIMT), carotid plaque dimensions, TCM syndrome scores, and serum lipid profiles (total cholesterol [TC], triglycerides [TG], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], apolipoprotein B [Apo B], and non-HDL-C) and lipoprotein phospholipase A2 (Lp-PLA2) levels before and after treatment. The treated group achieved a total efficacy rate of 93.3% (56/60), which surpassed the control group rate of 78.3% (47/60). The CIMT, carotid plaque thickness, and area in the treated group were significantly reduced posttreatment compared to baseline (P < .05) and were also lower than those in the control group (P < .05). Serum lipid levels, including TC, TG, LDL-C, ApoB and non-HDL-C were significantly decreased in both groups posttreatment (P < .05), and the treated group showed a further increase in HDL-C levels (P < .05). The treated group exhibited lower serum lipid levels than the control group posttreatment (P < .05). The TCM syndrome scores improved significantly in both groups after treatment (P < .05), with the treated group demonstrating a more pronounced reduction in scores than the control group (P < .05). The incidence of adverse events did not differ significantly between the 2 groups. JZMA combined with standard treatment effectively reduced CIMT, plaque size, and serum lipid levels, thereby enhancing clinical outcomes in patients with stable angina and carotid atherosclerosis. Show less
📄 PDF DOI: 10.1097/MD.0000000000040787
APOB

Recent Advances in Hepatic Metabolic Regulation by the Nuclear Factor Rev-erbɑ.

Qi Zhang, Yutong Chen, Jingqi Li +3 more · 2024 · Current drug metabolism · Bentham Science · added 2026-04-24
Rev-erbɑ (NR1D1) is a nuclear receptor superfamily member that plays a vital role in mammalian molecular clocks and metabolism. Rev-erbɑ can regulate the metabolism of drugs and the body's glucose met Show more
Rev-erbɑ (NR1D1) is a nuclear receptor superfamily member that plays a vital role in mammalian molecular clocks and metabolism. Rev-erbɑ can regulate the metabolism of drugs and the body's glucose metabolism, lipid metabolism, and adipogenesis. It is even one of the important regulatory factors regulating the occurrence of metabolic diseases (e.g., diabetes, fatty liver). Metabolic enzymes mediate most drug metabolic reactions in the body. Rev-erbɑ has been recognized to regulate drug metabolic enzymes (such as Cyp2b10 and Ugt1a9). Therefore, this paper mainly reviewed that Rev-erbɑ regulates I and II metabolic enzymes in the liver to affect drug pharmacokinetics. The expression of these drug metabolic enzymes (up-regulated or down-regulated) is related to drug exposure and effects/ toxicity. In addition, our discussion extends to Rev-erbɑ regulating some transporters (such as P-gp, Mrp2, and Bcrp), as they also play an essential role in drug metabolism. Finally, we briefly describe the role and mechanism of nuclear receptor Rev-erbɑ in lipid and glucose homeostasis, obesity, and metabolic disorders syndrome. In conclusion, this paper aims to understand better the role and mechanism of Rev-erbɑ in regulating drug metabolism, lipid, glucose homeostasis, obesity, and metabolic disorders syndrome, which explores how to target Rev-erbɑ to guide the design and development of new drugs and provide scientific reference for the molecular mechanism of new drug development, rational drug use, and drug interaction. Show less
no PDF DOI: 10.2174/0113892002290055240212074758
APOA4

Associations of ACE I/D and AGTR1 rs5182 polymorphisms with diabetes and their effects on lipids in an elderly Chinese population.

Jun Yi Liu, Yan Zhi Yi, Qi Wei Guo +10 more · 2024 · Lipids in health and disease · BioMed Central · added 2026-04-24
Diabetes mellitus is generally accompanied by dyslipidaemia, but inconsistent relationships between lipid profiles and diabetes are noted. Moreover, genetic variations in insertion/deletion (I/D) poly Show more
Diabetes mellitus is generally accompanied by dyslipidaemia, but inconsistent relationships between lipid profiles and diabetes are noted. Moreover, genetic variations in insertion/deletion (I/D) polymorphisms at angiotensin-converting enzyme gene (ACE) and T/C polymorphisms in the angiotensin type 1 receptor gene (AGTR1) are related to diabetes and lipid levels, but the associations are controversial. Thus, the current research aimed to explore the effects of ACE I/D, AGTR1 rs5182 and diabetes mellitus on serum lipid profiles in 385 Chinese participants with an average age of 75.01 years. The ACE I/D variant was identified using the polymerase chain reaction (PCR) method, whereas the AGTR1 rs5182 polymorphism was identified using the PCR-based restriction fragment length polymorphism (PCR-RFLP) method and verified with DNA sequencing. Total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA), apolipoprotein B (ApoB), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels were measured using routine methods, and the lipid ratios were calculated. ACE I/D, but not AGTR1 rs5182, was a predictor of TG/HDL-C for the whole study population. Both ACE I/D and AGTR1 rs5182 were predictors of HDL-C and LDL-C levels in females but not in males. Moreover, in females, diabetes mellitus and ACE I/D were identified as predictors of TG and TG/HDL-C, whereas AGTR1 rs5182 and diabetes mellitus were predictors of TG/HDL-C. Moreover, diabetes mellitus and the combination of ACE I/D and AGTR1 rs5182 variations were predictors of TG and TG/HDL-C exclusively in females. The results demonstrated the potential for gender-dependent interactions of ACE I/D, AGTR1 rs5182, and diabetes on lipid profiles. These findings may serve as an additional explanation for the inconsistent changes of blood lipids in individuals with diabetes mellitus, thereby offering a novel perspective for the clinical management of blood lipid levels in diabetic patients. Show less
📄 PDF DOI: 10.1186/s12944-024-02222-w
APOB

Messenger interference RNA therapies targeting apolipoprotein C-III and angiopoietin-like protein 3 for mixed hyperlipidemia: the future of plozasiran and zodasiran.

Zonghao Pan, Muhammad Adnan Zaman, Sidra Kalsoom +1 more · 2024 · Expert review of clinical pharmacology · Taylor & Francis · added 2026-04-24
Mixed hyperlipidemia represents a substantial public health issue and a considerable burden on healthcare systems. Although the introduction of statins and LDL-cholesterol lowering agents have signifi Show more
Mixed hyperlipidemia represents a substantial public health issue and a considerable burden on healthcare systems. Although the introduction of statins and LDL-cholesterol lowering agents have significantly reduced the incidence of atherosclerotic cardiovascular diseases (ASCVD), a significant portion of the population continues to exhibit ASCVD progression due to elevated triglyceride-rich lipoprotein (TRL) levels. This persistent risk has catalyzed the development of novel pharmacological interventions targeting these lipoproteins. Our special report commenced with a targeted PubMed search using keywords such as 'plozasiran,' 'zodasiran,' and terms related to APOC3 and ANGPTL3. As the review progressed, emergent research questions guided further searches, allowing for the inclusion of additional relevant articles to comprehensively illustrate the linkage between TRLs and cardiovascular disease, discuss the roles of APOC3, ANGPTL3, and the pharmaceutical agents that target these proteins, and provide a comparison on the ARCHES-2 and MUIR trials. The ARCHES-2 and MUIR trials demonstrated effective triglyceride reduction by these therapies, yet it is uncertain if this correlates with significant clinical benefits. Advances in antisense oligonucleotide technology, especially the GalNAc delivery platform, show promise for personalized lipid management, though challenges such as cost and safety concerns remain. Show less
no PDF DOI: 10.1080/17512433.2024.2423724
APOC3

DNA-functionalized artificial mechanoreceptor for de novo force-responsive signaling.

Sihui Yang, Miao Wang, Dawei Tian +6 more · 2024 · Nature chemical biology · Nature · added 2026-04-24
Synthetic signaling receptors enable programmable cellular responses coupling with customized inputs. However, engineering a designer force-sensing receptor to rewire mechanotransduction remains large Show more
Synthetic signaling receptors enable programmable cellular responses coupling with customized inputs. However, engineering a designer force-sensing receptor to rewire mechanotransduction remains largely unexplored. Herein, we introduce nongenetically engineered artificial mechanoreceptors (AMRs) capable of reprogramming non-mechanoresponsive receptor tyrosine kinases (RTKs) to sense user-defined force cues, enabling de novo-designed mechanotransduction. AMR is a modular DNA-protein chimera comprising a mechanosensing-and-transmitting DNA nanodevice grafted on natural RTKs via aptameric anchors. AMR senses intercellular tensile force via an allosteric DNA mechano-switch with tunable piconewton-sensitive force tolerance, actuating a force-triggered dynamic DNA assembly to manipulate RTK dimerization and activate intracellular signaling. By swapping the force-reception ligands, we demonstrate the AMR-mediated activation of c-Met, a representative RTK, in response to the cellular tensile forces mediated by cell-adhesion proteins (integrin, E-cadherin) or membrane protein endocytosis (CI-M6PR). Moreover, AMR also allows the reprogramming of FGFR1, another RTK, to customize mechanobiological function, for example, adhesion-mediated neural stem cell maintenance. Show less
📄 PDF DOI: 10.1038/s41589-024-01572-x
FGFR1

Lp(a) and high-sensitivity C-reactive protein are predictive biomarkers for coronary heart disease in Chinese patients with type 2 diabetes mellitus.

Qinghan Meng, Haina Ma, Nannan Tian +12 more · 2024 · Heliyon · Elsevier · added 2026-04-24
Type 2 diabetes (T2DM) is a significant risk factor for coronary heart disease (CHD). This study aimed to assess the variations in biomarkers associated with CHD in T2DM patients across different age Show more
Type 2 diabetes (T2DM) is a significant risk factor for coronary heart disease (CHD). This study aimed to assess the variations in biomarkers associated with CHD in T2DM patients across different age groups in the Han Chinese population. A strict selection process was employed, involving three groups: a control group (n = 300) with no medical history, a new-onset T2DM group (n = 300), and a new-onset T2DM + CHD group (n = 300). Participants in each group were further categorized based on age: Group 1 (<60 years), Group 2 (60-75 years), and Group 3 (>75 years). Fasting glucose, hemoglobin A1c (HbA1c), triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), ApoB/ApoA1 ratio, lipoprotein(a) [Lp(a)], high-sensitivity C-reactive protein (hsCRP), and homocysteine (HCY) levels were analyzed in all groups. Both T2DM and T2DM + CHD groups exhibited elevated levels of TG, TC, LDL-C, ApoB, ApoB/ApoA1, Lp(a), hsCRP, and HCY, alongside decreased levels of HDL-C and ApoA1 in comparison to the control group. Notably, when comparing the T2DM to the T2DM + CHD groups, significant increases were noted in ApoB, Lp(a), and hsCRP levels in the T2DM + CHD group, whereas other biomarkers did not show significant differences. Across all age groups, the patterns remained consistent, with the T2DM and T2DM + CHD groups showing elevated levels of TG, TC, LDL-C, ApoB, ApoB/ApoA1, Lp(a), hsCRP, and HCY, and decreased levels of HDL-C and ApoA1 compared to their respective age-matched control groups. Furthermore, within each age category, significant increases in ApoB, Lp(a), and hsCRP were specifically observed with advancing age in the T2DM + CHD group, with Lp(a) and hsCRP levels showing particularly notable elevations, underscoring their potential as significant indicators of CHD risk in the T2DM population. Lp(a) and hsCRP may serve as valuable risk biomarkers for the development of CHD in T2DM patients. Understanding the variations in these biomarkers across different age groups can assist in risk assessment and the development of personalized management strategies for CHD in T2DM patients. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e40074
APOB

Acteoside relieves diabetic retinopathy through the inhibition of Müller cell reactive hyperplasia by regulating TXNIP and mediating Kir4.1 channels in a PI3K/Akt-dependent manner.

Xiaoting Xi, Xiaolei Liu, Qianbo Chen +5 more · 2024 · PloS one · PLOS · added 2026-04-24
Diabetic retinopathy (DR) is a severe microangiopathy of diabetes. Müller cells play an important role in the development of DR. Acteoside (ACT) has been reported to be effective in the treatment of D Show more
Diabetic retinopathy (DR) is a severe microangiopathy of diabetes. Müller cells play an important role in the development of DR. Acteoside (ACT) has been reported to be effective in the treatment of DR. In this study, we explored the molecular mechanism of ACT in the treatment of DR from the perspective of the reactive proliferation of Müller cells. The effect of ACT on DR was investigated via high-glucose (HG) treatment of Müller RMC-1 cells and an injection of streptozotocin (STZ) in constructed DR cells and animal models. The results showed that after ACT treatment, damage to the retinal structure in DR rats was alleviated, the number of hemangiomas was reduced, and the penetration of blood vessels was weakened. In addition, ACT treatment improved the hypertrophy and gliogenesis of Müller cells during DR, promoted the expression of Kir4.1 and activated the PI3K/Akt signaling pathway. ACT treatment inhibited the proliferation and migration of RMC-1 cells and promoted the expression of Kir4.1. TXNIP overexpression effectively reversed the inhibitory effect of ACT on the proliferation and migration of Müller cells and its induction of Kir4.1 expression. In addition, TXNIP knockdown effectively reversed the inhibitory effect of HG on the expression of p-PI3K and p-Akt, whereas TXNIP overexpression had the opposite effect, and treatment with the PI3K/AKT pathway inhibitor LY294002 effectively reversed the effect of TXNIP knockdown. Animal experiments also confirmed that the therapeutic effect of ACT on DR rats could be reversed by the overexpression of TXNIP or LY294002. In conclusion, ACT inhibits Müller cell reactive proliferation and alleviates diabetic retinopathy by regulating TXNIP and mediating the expression of Kir4.1 channels in a PI3K/Akt-dependent manner. Show less
no PDF DOI: 10.1371/journal.pone.0312565
RMC1

CLN3 transcript complexity revealed by long-read RNA sequencing analysis.

Hao-Yu Zhang, Christopher Minnis, Emil Gustavsson +2 more · 2024 · BMC medical genomics · BioMed Central · added 2026-04-24
Batten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" d Show more
Batten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" deletion which removes two internal coding exons (7 and 8) in CLN3. Previously, we identified two transcripts in patient fibroblasts homozygous for the 1-kb deletion: the 'major' and 'minor' transcripts. To understand the full variety of disease transcripts and their role in disease pathogenesis, it is necessary to first investigate CLN3 transcription in "healthy" samples without juvenile CLN3 disease. We leveraged PacBio long-read RNA sequencing datasets from ENCODE to investigate the full range of CLN3 transcripts across various tissues and cell types in human control samples. Then we sought to validate their existence using data from different sources. We found that a readthrough gene affects the quantification and annotation of CLN3. After taking this into account, we detected over 100 novel CLN3 transcripts, with no dominantly expressed CLN3 transcript. The most abundant transcript has median usage of 42.9%. Surprisingly, the known disease-associated 'major' transcripts are detected. Together, they have median usage of 1.5% across 22 samples. Furthermore, we identified 48 CLN3 ORFs, of which 26 are novel. The predominant ORF that encodes the canonical CLN3 protein isoform has median usage of 66.7%, meaning around one-third of CLN3 transcripts encode protein isoforms with different stretches of amino acids. The same ORFs could be found with alternative UTRs. Moreover, we were able to validate the translational potential of certain transcripts using public mass spectrometry data. Overall, these findings provide valuable insights into the complexity of CLN3 transcription, highlighting the importance of studying both canonical and non-canonical CLN3 protein isoforms as well as the regulatory role of UTRs to fully comprehend the regulation and function(s) of CLN3. This knowledge is essential for investigating the impact of the 1-kb deletion and rare pathogenic variants on CLN3 transcription and disease pathogenesis. Show less
📄 PDF DOI: 10.1186/s12920-024-02017-z
CLN3

Design, Synthesis, and Biological Evaluation of 3-Amino-pyrazine-2-carboxamide Derivatives as Novel FGFR Inhibitors.

Jia Zheng, Wei Zhang, Dan Ni +7 more · 2024 · ACS medicinal chemistry letters · ACS Publications · added 2026-04-24
FGFR has been considered a crucial oncogenic driver and promising target for cancer therapy. Herein, we reported the design and synthesis of 3-amino-
no PDF DOI: 10.1021/acsmedchemlett.4c00431
FGFR1

Lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation: a mediation Mendelian randomization study.

Guangyang Ou, Yi Zhang, Huzhi Cai +6 more · 2024 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Previous studies have shown an association between lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation (AF), but the specific effects of lipid-lowering drugs on AF and whet Show more
Previous studies have shown an association between lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation (AF), but the specific effects of lipid-lowering drugs on AF and whether they can be mediated by circulating inflammatory factors remain unclear. We collected 10 genetic variants encoding lipid-lowering drug targets (LDLR, HMGCR, PCSK9, NPC1L1, APOB, APOB, ABCG5, ABCG8, LPL, APOC3, and PPARA) and AF based on genome-wide association study (GWAS) summary statistics. Drug target Mendelian randomization (MR) was used to explore the causal relationship between lipid-lowering drugs and AF. In addition, we performed a mediation analysis of 91 circulating inflammatory factors to explore potential mediators. Sensitivity analyses were performed to verify the reliability of the MR Results by MR-Egger intercept test, Cochran's Q test and leave-one-out test. The results of IVW method showed that LPL agonist had a protective effect on AF(OR = 0. 854, 95%CI: 0.816-0.894, Our study provides new insights into the complex interactions among lipid-lowering agents, circulating inflammatory factors and AF, and also identified a potential mediating role of FGF5 in the pathogenesis of AF. Our findings highlight the potential of LPL agonists and targeting specific inflammatory factors for therapeutic intervention in AF, providing promising avenues for future research and clinical strategies for the management and prevention of AF. Show less
📄 PDF DOI: 10.3389/fcvm.2024.1446610
APOB

Dual-target inhibitors based on acetylcholinesterase: Novel agents for Alzheimer's disease.

Xingyi Zhao, Qiaoguan Hu, Xiaoqian Wang +11 more · 2024 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is the most common form of dementia among the elderly, accounting for 60 %-70 % of cases. At present, the pathogenesis of this condition remains unclear, but the hydrolysis of Show more
Alzheimer's disease (AD) is the most common form of dementia among the elderly, accounting for 60 %-70 % of cases. At present, the pathogenesis of this condition remains unclear, but the hydrolysis of acetylcholine (ACh) is thought to play a role. Acetylcholinesterase (AChE) can break down ACh transmission from the presynaptic membrane and stop neurotransmitters' excitatory effect on the postsynaptic membrane, which plays a key role in nerve conduction. Acetylcholinesterase inhibitors (AChEIs) can delay the hydrolysis of acetylcholine (ACh), which represents a key strategy for treating AD. Due to its complex etiology, AD has proven challenging to treat. Various inhibitors and antagonists targeting key enzymes and proteins implicated in the disease's pathogenesis have been explored as potential therapeutic agents. These include Glycogen Synthase Kinase 3β (GSK-3β) inhibitors, β-site APP Cleaving Enzyme (BACE-1) inhibitors, Monoamine Oxidase (MAO) inhibitors, Phosphodiesterase inhibitors (PDEs), N-methyl--aspartic Acid (NMDA) antagonists, Histamine 3 receptor antagonists (H3R), Serotonin receptor subtype 4 (5-HT4R) antagonists, Sigma1 receptor antagonists (S1R) and soluble Epoxide Hydrolase (sEH) inhibitors. The drug development strategy of multi-target-directed ligands (MTDLs) offers unique advantages in the treatment of complex diseases. On the one hand, it can synergistically enhance the therapeutic efficacy of single-target drugs. On the other hand, it can also reduce the side effects. In this review, we discuss the design strategy of dual inhibitors based on acetylcholinesterase and the structure-activity relationship of these drugs. Show less
no PDF DOI: 10.1016/j.ejmech.2024.116810
BACE1

Correlation between serum ANGPTL4 levels and white matter hyperintensity and cognitive impairment in patients with cerebral small vessel disease.

Jianhua Zhao, Shiyun Zhang, Xiaoting Wang +6 more · 2024 · Brain and behavior · Wiley · added 2026-04-24
To investigate the correlation between serum angiopoietin-like protein 4 (ANGPTL4) levels, white matter hyperintensity (WMH), and cognitive impairment (CI) in patients with cerebral small vessel disea Show more
To investigate the correlation between serum angiopoietin-like protein 4 (ANGPTL4) levels, white matter hyperintensity (WMH), and cognitive impairment (CI) in patients with cerebral small vessel disease (CSVD). This cross-sectional study enrolled 171 patients with CSVD who attended the First Affiliated Hospital of Xinxiang Medical University from December 2021 to July 2022. All subjects underwent a 3.0T head magnetic resonance imaging, neuropsychology assessment, and blood sampling. Serum ANGPTL4 levels were detected by enzyme-linked immunosorbent assay and the severity of WMH was assessed by the Fazekas scale. According to the Montreal Cognitive Assessment (MoCA) scale, subjects were divided into normal cognition group (NC, n = 80) and CI group (n = 91). According to the total Fazekas scores, subjects were divided into a mild WMH group (n = 84), a moderate WMH group (n = 70), and a severe WMH group (n = 17). Serum ANGPTL4 levels were significantly higher in the CI group than in the NC group (p < .05) and were negatively correlated with mini-mental state examination scores and MoCA scores (r = -0.26, -0.341, p < .05). Serum ANGPTL4 levels increased significantly in the mild to moderate WMH group but tended to decrease in the severe WMH group. Binary logistic regression analysis showed that ANGPTL4 was an independent influencing factor for CSVD-CI (OR = 2.062, 95% CI (1.591-2.674), p < .001). The area under curve of ANGPTL4 for CSVD-CI was 0.847 (0.791-0.903). ANGPTL4 may be involved in the process of white matter damage and CI in CSVD patients and shows a diagnostic value for CSVD-CI. Show less
📄 PDF DOI: 10.1002/brb3.3401
ANGPTL4

Genetic association of lipid-lowering drugs with aortic aneurysms: a Mendelian randomization study.

Xiong Gao, Wei Luo, Liyuan Qu +14 more · 2024 · European journal of preventive cardiology · Oxford University Press · added 2026-04-24
The lack of effective pharmacotherapies for aortic aneurysms (AA) is a persistent clinical challenge. Lipid metabolism plays an essential role in AA. However, the impact of lipid-lowering drugs on AA Show more
The lack of effective pharmacotherapies for aortic aneurysms (AA) is a persistent clinical challenge. Lipid metabolism plays an essential role in AA. However, the impact of lipid-lowering drugs on AA remains controversial. The study aimed to investigate the genetic association between lipid-lowering drugs and AA. Our research used publicly available data on genome-wide association studies (GWASs) and expression quantitative trait loci (eQTL) studies. Genetic instruments, specifically eQTLs related to drug-target genes and SNPs (single nucleotide polymorphisms) located near or within the drug-target loci associated with low-density lipoprotein cholesterol (LDL-C), have been served as proxies for lipid-lowering medications. Drug-Target Mendelian Randomization (MR) study is used to determine the causal association between lipid-lowering drugs and different types of AA. The MR analysis revealed that higher expression of HMGCR (3-hydroxy-3-methylglutaryl coenzyme A reductase) was associated with increased risk of AA (OR = 1.58, 95% CI = 1.20-2.09, P = 1.20 × 10-03) and larger lumen size (aortic maximum area: OR = 1.28, 95% CI = 1.13-1.46, P = 1.48 × 10-04; aortic minimum area: OR = 1.26, 95% CI = 1.21-1.42, P = 1.78 × 10-04). PCSK9 (proprotein convertase subtilisin/kexin type 9) and CETP (cholesteryl ester transfer protein) show a suggestive relationship with AA (PCSK9: OR = 1.34, 95% CI = 1.10-1.63, P = 3.07 × 10-03; CETP: OR = 1.38, 95% CI = 1.06-1.80, P = 1.47 × 10-02). No evidence to support genetically mediated NPC1L1 (Niemann-Pick C1-Like 1) and LDLR (low-density lipoprotein cholesterol receptor) are associated with AA. This study provides causal evidence for the genetic association between lipid-lowering drugs and AA. Higher gene expression of HMGCR, PCSK9, and CETP increases AA risk. Furthermore, HMGCR inhibitors may link with smaller aortic lumen size. Show less
no PDF DOI: 10.1093/eurjpc/zwae044
CETP

The molecular mechanisms by which the NLRP3 inflammasome regulates blood-brain barrier permeability following cryptococcal meningitis.

Lingjuan Liu, Yufen Tang, Lu Zhang +6 more · 2024 · Heliyon · Elsevier · added 2026-04-24
To investigate the mechanism underlying the regulation of blood-brain barrier permeability changes during cryptococcal meningitis by NLRP3 and Vimentin. Sprague-Dawley rats were treated with WT Crypto Show more
To investigate the mechanism underlying the regulation of blood-brain barrier permeability changes during cryptococcal meningitis by NLRP3 and Vimentin. Sprague-Dawley rats were treated with WT Cryptococcus neoformans (Cn) or CPS1-/- Cn. Neuronal apoptosis was assessed using TUNEL staining, and pathological changes were observed using electron microscopy and HE staining. The expressions of NLRP3, Vimentin, and NF-κB in the cerebral cortex and human brain microvascular endothelial cells (HBMECs) were examined through Western blot and qRT-PCR. siNLRP3 and siVimentin were separately transfected into HBMECs, the expressions of specific factors were assessed. NF-κB and Vimentin levels were detected through immunofluorescence, apoptosis was measured using flow cytometry, and changes in the optical density (OD) of HRP were determined using ELISA. The expressions of NLRP3, Vimentin, and NF-κB were upregulated following intervention with WT Cn Vimentin and the NLRP3 inflammasome are both implicated in the pathological process of cryptococcal meningitis. An interaction between Vimentin and the NLRP3 inflammasome is evident, likely mediated through the NF-κB signaling pathway. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e39653
CPS1

Association Apo B/Apo a-1 Ratio and Prognostic Nutritional Index with 90-Day Outcomes of Acute Ischemic Stroke.

Junqi Liao, Yuan Zhu, Aimei Zhang +12 more · 2024 · Diabetes, metabolic syndrome and obesity : targets and therapy · added 2026-04-24
The relationship between insulin resistance-related indices and the outcomes of acute ischemic stroke (AIS) is still unclear. This study aimed to explore the association between the Apo B/Apo A-1 rati Show more
The relationship between insulin resistance-related indices and the outcomes of acute ischemic stroke (AIS) is still unclear. This study aimed to explore the association between the Apo B/Apo A-1 ratio and the Prognostic Nutritional Index (PNI) with the 90-day outcomes of AIS. A total of 2011 AIS patients with a 3-month follow-up were enrolled in the present study from January 2017 to July 2021. Multivariate logistic regression modeling was performed to analyze the relationship between Apo B/Apo A-1 ratio, PNI, and AIS poor outcomes. The mediating effect between the three was analyzed using the Bootstrap method with PNI as the mediating variable. Among the 2011 included AIS patients, 20.3% had a poor outcome. Patients were categorized according to quartiles of Apo B/Apo A-1 ratio and PNI. Multivariate logistic regression revealed that the fourth Apo B/Apo A-1 ratio quartile had poorer outcomes than the first quartile (OR 1.75,95%CL 1.21-2.53, P=0.003), and the fourth PNI quartile exhibited a lower risk of poor outcomes than the first quartile (OR 0.40, 95%CL 0.27-0.61, P<0.001). PNI displayed a significant partially mediating effect (21.4%) between the Apo B/Apo A-1 ratio and poor AIS outcomes. The Apo B/Apo A-1 ratio is a risk factor for poor AIS outcomes, whereas PNI acts as a protective factor. The association between the ApoB/ApoA-1 ratio and poor AIS outcomes was partially mediated by PNI. Show less
📄 PDF DOI: 10.2147/DMSO.S473385
APOB

Glioma stem cell-derived exosomes induce the transformation of astrocytes via the miR-3065-5p/DLG2 signaling axis.

Haoran Li, Jianjun Zhu, Xinglei Liu +9 more · 2024 · Glia · Wiley · added 2026-04-24
Tumor-associated astrocytes (TAAs) in the glioblastoma microenvironment play an important role in tumor development and malignant progression initiated by glioma stem cells (GSCs). In the current stud Show more
Tumor-associated astrocytes (TAAs) in the glioblastoma microenvironment play an important role in tumor development and malignant progression initiated by glioma stem cells (GSCs). In the current study, normal human astrocytes (NHAs) were cultured and continuously treated with GSC-derived exosomes (GSC-EXOs) induction to explore the mechanism by which GSCs affect astrocyte remodeling. This study revealed that GSC-EXOs can induce the transformation of NHAs into TAAs, with relatively swollen cell bodies and multiple extended processes. In addition, high proliferation, elevated resistance to temozolomide (TMZ), and increased expression of TAA-related markers (TGF-β, CD44, and tenascin-C) were observed in the TAAs. Furthermore, GSC-derived exosomal miR-3065-5p could be delivered to NHAs, and miR-3065-5p levels increased significantly in TAAs, as verified by miRNA expression profile sequencing and Reverse transcription polymerase chain reaction. Overexpression of miR-3065-5p also enhanced NHA proliferation, elevated resistance to TMZ, and increased the expression levels of TAA-related markers. In addition, both GSC-EXO-induced and miR-3065-5p-overexpressing NHAs promoted tumorigenesis of GSCs in vivo. Discs Large Homolog 2 (DLG2, downregulated in glioblastoma) is a direct downstream target of miR-3065-5p in TAAs, and DLG2 overexpression could partially reverse the transformation of NHAs into TAAs. Collectively, these data demonstrate that GSC-EXOs induce the transformation of NHAs into TAAs via the miR-3065-5p/DLG2 signaling axis and that TAAs can further promote the tumorigenesis of GSCs. Thus, precisely blocking the interactions between astrocytes and GSCs via exosomes may be a novel strategy to inhibit glioblastoma development, but more in-depth mechanistic studies are still needed. Show less
no PDF DOI: 10.1002/glia.24506
DLG2

Mendelian randomization based on genome-wide association studies and expression quantitative trait loci, predicting gene targets for the complexity of osteoarthritis as well as the clinical prognosis of the condition.

Yiqun Yan, Junyan He, Zelin Xu +4 more · 2024 · Frontiers in medicine · Frontiers · added 2026-04-24
Osteoarthritis (OA) entails a prevalent chronic ailment, marked by the widespread involvement of entire joints. Prolonged low-grade synovial inflammation serves as the key instigator for a cascade of Show more
Osteoarthritis (OA) entails a prevalent chronic ailment, marked by the widespread involvement of entire joints. Prolonged low-grade synovial inflammation serves as the key instigator for a cascade of pathological alterations in the joints. The study seeks to explore potential therapeutic targets for OA and investigate the associated mechanistic pathways. Summary-level data for OA were downloaded from the genome-wide association studies (GWAS) database, expression quantitative trait loci (eQTL) data were acquired from the eQTLGen consortium, and synovial chip data for OA were obtained from the GEO database. Following the integration of data and subsequent Mendelian randomization analysis, differential analysis, and weighted gene co-expression network analysis (WGCNA) analysis, core genes that exhibit a significant causal relationship with OA traits were pinpointed. Subsequently, by employing three machine learning algorithms, additional identification of gene targets for the complexity of OA was achieved. Additionally, corresponding ROC curves and nomogram models were established for the assessment of clinical prognosis in patients. Finally, western blotting analysis and ELISA methodology were employed for the initial validation of marker genes and their linked pathways. Twenty-two core genes with a significant causal relationship to OA traits were obtained. Through the application of distinct machine learning algorithms, MAT2A and RBM6 emerged as diagnostic marker genes. ROC curves and nomogram models were utilized for evaluating both the effectiveness of the two identified marker genes associated with OA in diagnosis. MAT2A governs the synthesis of SAM within synovial cells, thereby thwarting synovial fibrosis induced by the TGF-β1-activated Smad3/4 signaling pathway. The first evidence that MAT2A and RBM6 serve as robust diagnostic for OA is presented in this study. MAT2A, through its involvement in regulating the synthesis of SAM, inhibits the activation of the TGF-β1-induced Smad3/4 signaling pathway, thereby effectively averting the possibility of synovial fibrosis. Concurrently, the development of a prognostic risk model facilitates early OA diagnosis, functional recovery evaluation, and offers direction for further therapy. Show less
no PDF DOI: 10.3389/fmed.2024.1409439
RBM6

Low PDE4A expression promoted the progression of ovarian cancer by inducing Snail nuclear translocation.

Jinlong Wang, Qiuying Gu, Yuexi Liu +5 more · 2024 · Experimental cell research · Elsevier · added 2026-04-24
Widespread metastasis is the primary reason for the high mortality associated with ovarian cancer (OC), and effective targeted therapy for tumor aggressiveness is still insufficient in clinical practi Show more
Widespread metastasis is the primary reason for the high mortality associated with ovarian cancer (OC), and effective targeted therapy for tumor aggressiveness is still insufficient in clinical practice. Therefore, it is urgent to find new targets to improve prognosis of patients. PDE4A is a cyclic nucleotide phosphodiesterase that plays a crucial role in the occurrence and development in various malignancies. Our study firstly reported the function of PDE4A in OC. Expression of PDE4A was validated through bioinformatics analysis, RT-qPCR, Western blot, and immunohistochemistry. Additionally, its impact on cell growth and motility was assessed via in vitro and in vivo experiments. PDE4A was downregulated in OC tissues compared with normal tissues and low PDE4A expression was correlated with poor clinical outcomes in OC patients. The knockdown of PDE4A significantly promoted the proliferation, migration and invasion of OC cells while overexpression of PDE4A resulted in the opposite effect. Furthermore, smaller and fewer tumor metastatic foci were observed in mice bearing PDE4A-overexpressing OVCAR3 cells. Mechanistically, downregulation of PDE4A expression can induce epithelial-mesenchymal transition (EMT) and nuclear translocation of Snail, which suggests that PDE4A plays a pivotal role in suppressing OC progression. Notably, Rolipram, the PDE4 inhibitor, mirrored the effects observed with PDE4A deletion. In summary, the downregulation of PDE4A appears to facilitate OC progression by modulating the Snail/EMT pathway, underscoring the potential of PDE4A as a therapeutic target against ovarian cancer metastasis. Show less
no PDF DOI: 10.1016/j.yexcr.2024.114100
SNAI1

A Selective FGFR1/2 PROTAC Degrader with Antitumor Activity.

Ying Kong, Xinyue Zhao, Zhaofu Wang +14 more · 2024 · Molecular cancer therapeutics · added 2026-04-24
The aberrant activation of FGFR acts as a potent driver of multiple types of human cancers. Despite the development of several conventional small-molecular FGFR inhibitors, their clinical efficacy is Show more
The aberrant activation of FGFR acts as a potent driver of multiple types of human cancers. Despite the development of several conventional small-molecular FGFR inhibitors, their clinical efficacy is largely compromised because of low selectivity and side effects. In this study, we report the selective FGFR1/2-targeting proteolysis-targeting chimera BR-cpd7 that displays significant isoform specificity to FGFR1/2 with half maximal degradation concentration values around 10 nmol/L while sparing FGFR3. The following mechanistic investigation reveals the reduced FGFR signaling, through which BR-cpd7 induces cell-cycle arrest and consequently blocks the proliferation of multiple FGFR1/2-dependent tumor cells. Importantly, BR-cpd7 has almost no antiproliferative activity against cancer cells without FGFR aberrations, furtherly supporting its selectivity. In vivo, BR-cpd7 exhibits robust antitumor effects in FGFR1-dependent lung cancer at well-tolerated dose schedules, accompanied by complete FGFR1 depletion. Overall, we identify BR-cpd7 as a promising candidate for developing a selective FGFR1/2-targeted agent, thereby offering a new therapeutic strategy for human cancers in which FGFR1/2 plays a critical role. Show less
no PDF DOI: 10.1158/1535-7163.MCT-23-0719
FGFR1

Dyslipidemia in severe fever with thrombocytopenia syndrome patients: A retrospective cohort study.

Shuai Guo, Jingliang Zhang, Qing Dong +5 more · 2024 · PLoS neglected tropical diseases · PLOS · added 2026-04-24
Severe fever with thrombocytopenia syndrome (SFTS) is a rapidly progressive infectious disease triggered by a novel bunyavirus (SFTSV). Despite the critical role of host lipid metabolism in viral infe Show more
Severe fever with thrombocytopenia syndrome (SFTS) is a rapidly progressive infectious disease triggered by a novel bunyavirus (SFTSV). Despite the critical role of host lipid metabolism in viral infections, research on dyslipidemia in SFTS remains limited. This retrospective study included 433 SFTS patients, who were stratified into survival group (n = 365) and death group (n = 68) and who were treated at the Shandong Public Health Clinical Center from September 2021 to December 2023. Additionally, 96 healthy controls with matching baseline characteristics were included from Shandong Provincial Hospital. Cross-sectional analysis based on admission data and longitudinal analysis over time were employed to survey the correlation between serum lipid profiles and mortality in SFTS patients. SFTS patients exhibited elevated triglyceride (TG) levels and reduced total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels compared to healthy individuals. Cross-sectional analysis demonstrated that lower LDL-C and apolipoprotein-B (ApoB) levels were related to elevated mortality risk in SFTS patients. Longitudinal analysis demonstrated that LDL-C and ApoB levels remained consistently lower in the death group, while TG levels gradually declined, and HDL-C levels gradually increased as the disease progressed. SFTS patients exhibit significant dyslipidemia compared to healthy individuals. Lower LDL-C and ApoB levels may independently influence mortality in SFTS patients. Elevated TG and reduced HDL-C levels may associate with disease progression. Show less
📄 PDF DOI: 10.1371/journal.pntd.0012673
APOB

Bioinformatics analysis and identification of potential key genes and pathways in the pathogenesis of nonischemic cardiomyopathy.

Yan Jia, Rui-Ning Zhang, Yong-Jun Li +3 more · 2024 · Medicine · added 2026-04-24
Nonischemic cardiomyopathy (NICM) is a major cause of advanced heart failure, and the morbidity and mortality associated with NICM are serious medical problems. However, the etiology of NICM is comple Show more
Nonischemic cardiomyopathy (NICM) is a major cause of advanced heart failure, and the morbidity and mortality associated with NICM are serious medical problems. However, the etiology of NICM is complex and the related mechanisms involved in its pathogenesis remain unclear. The microarray datasets GSE1869 and GSE9128 retrieved from the Gene Expression Omnibus database were used to identify differentially expressed genes (DEGs) between NICM and normal samples. The co-expressed genes were identified using Venn diagrams. Kyoto Encyclopedia of Genes and Genomes pathway analyses and gene ontology enrichment were used to clarify biological functions and signaling pathways. Analysis of protein-protein interaction networks using Search Tool for the Retrieval of Interacting Genes/Proteins online to define the hub genes associated with NICM pathogenesis. A total of 297 DEGs were identified from GSE1869, 261 of which were upregulated genes and 36 were downregulated genes. A total of 360 DEGs were identified from GSE9128, 243 of which were upregulated genes and 117 were downregulated genes. In the 2 datasets, the screening identified 36 co-expressed DEGs. Kyoto Encyclopedia of Genes and Genomes pathway and gene ontology analysis showed that DEGs were mainly enriched in pantothenate and CoA biosynthesis, beta-alanine metabolism, kinetochore, G-protein beta/gamma-subunit complex, and other related pathways. The PPI network analysis revealed that DUSP6, EGR1, ZEB2, and XPO1 are the 4 hub genes of interest in the 2 datasets. Bioinformatics analysis of hub genes and key signaling pathways is an effective way to elucidate the mechanisms involved in the development of NICM. The results will facilitate further studies on the pathogenesis and therapeutic targets of NICM. Show less
📄 PDF DOI: 10.1097/MD.0000000000037898
DUSP6

Immune system-related plasma extracellular vesicles in healthy aging.

Xin Zhang, Sisi Ma, Janet L Huebner +5 more · 2024 · Frontiers in immunology · Frontiers · added 2026-04-24
To identify age-related plasma extracellular vehicle (EVs) phenotypes in healthy adults. EV proteomics by high-resolution mass spectrometry to evaluate EV protein stability and discover age-associated Show more
To identify age-related plasma extracellular vehicle (EVs) phenotypes in healthy adults. EV proteomics by high-resolution mass spectrometry to evaluate EV protein stability and discover age-associated EV proteins (n=4 with 4 serial freeze-thaws each); validation by high-resolution flow cytometry and EV cytokine quantification by multiplex ELISA (n=28 healthy donors, aged 18-83 years); quantification of WI-38 fibroblast cell proliferation response to co-culture with PKH67-labeled young and old plasma EVs. The EV samples from these plasma specimens were previously characterized for bilayer structure, intra-vesicle mitochondria and cytokines, and hematopoietic cell-related surface markers. Compared with matched exo-EVs (EV-depleted supernatants), endo-EVs (EV-associated) had higher mean TNF-α and IL-27, lower mean IL-6, IL-11, IFN-γ, and IL-17A/F, and similar mean IL-1β, IL-21, and IL-22 concentrations. Some endo-EV and exo-EV cytokine concentrations were correlated, including TNF-α, IL-27, IL-6, IL-1β, and IFN-γ, but not IL-11, IL-17A/F, IL-21 or IL-22. Endo-EV IFN-γ and exo-EV IL-17A/F and IL-21 declined with age. By proteomics and confirmed by flow cytometry, we identified age-associated decline of fibrinogen (FGA, FGB and FGG) in EVs. Age-related EV proteins indicated predominant origins in the liver and innate immune system. WI-38 cells (>95%) internalized similar amounts of young and old plasma EVs, but cells that internalized PKH67-EVs, particularly young EVs, underwent significantly greater cell proliferation. Endo-EV and exo-EV cytokines function as different biomarkers. The observed healthy aging EV phenotype reflected a downregulation of EV fibrinogen subpopulations consistent with the absence of a pro-coagulant and pro-inflammatory condition common with age-related disease. Show less
📄 PDF DOI: 10.3389/fimmu.2024.1355380
IL27

The epigenetic-modified downregulation of LOXL1 protein mediates EMT in bladder epithelial cells exposed to benzo[a]pyrene and its metabolite BPDE.

Ronghao Zou, Juan Lu, Xiaoyue Bai +6 more · 2024 · International immunopharmacology · Elsevier · added 2026-04-24
Benzo[a]pyrene (B[a]P) is a well-known polycyclic aromatic hydrocarbon (PAH) pollutant with high carcinogenicity, widespread environmental presence, and significant threat to public health. Epidemiolo Show more
Benzo[a]pyrene (B[a]P) is a well-known polycyclic aromatic hydrocarbon (PAH) pollutant with high carcinogenicity, widespread environmental presence, and significant threat to public health. Epidemiological studies have linked exposure to B[a]P and its metabolite 7,8-dihydroxy-9,10-epoxybenzo[a]pyrene (BPDE) to the development and progression of various cancers, including bladder cancer. However, its underlying mechanism remains unclear. Our study revealed that B[a]P and BPDE induced epithelial-mesenchymal transition (EMT), a critical early event in cell malignant transformation, involving a decrease in E-Cadherin and upregulation of N-Cadherin protein levels, leading to increased cell motility and migration in bladder epithelial cells. Further studies have indicated that LOXL1 DNA undergoes methylation and modification influenced by methyltransferase 3a (DNMT3a) and DNMT3b, resulting in decreased LOXL1 protein levels. The decreased LOXL1 promotes the zinc finger transcription factor SLUG, which then inhibits E-Cadherin protein levels and initiates the EMT process. Moreover, DNMT3a/3b expression appears to be influenced by intracellular oxidative stress levels. These findings suggest that exposure to B[a]P/BPDE promotes the EMT process through the pivotal factor LOXL1, thereby contributing to bladder carcinogenesis. Our study provides a theoretical basis for considering LOXL1 as a potential biomarker for early diagnosis and a novel target for the precise diagnosis and treatment of bladder cancer. Show less
no PDF DOI: 10.1016/j.intimp.2024.113232
SNAI1

Suppression of hepatic ChREBP⍺-CYP2C50 axis-driven fatty acid oxidation sensitizes mice to diet-induced MASLD/MASH.

Deqiang Zhang, Yuee Zhao, Gary Zhang +6 more · 2024 · Molecular metabolism · Elsevier · added 2026-04-24
Compromised hepatic fatty acid oxidation (FAO) has been observed in human MASH patients and animal models of MASLD/MASH. It remains poorly understood how and when the hepatic FAO pathway is suppressed Show more
Compromised hepatic fatty acid oxidation (FAO) has been observed in human MASH patients and animal models of MASLD/MASH. It remains poorly understood how and when the hepatic FAO pathway is suppressed during the progression of MASLD towards MASH. Hepatic ChREBP⍺ is a classical lipogenic transcription factor that responds to the intake of dietary sugars. We examined its role in regulating hepatocyte fatty acid oxidation (FAO) and the impact of hepatic Chrebpa deficiency on sensitivity to diet-induced MASLD/MASH in mice. We discovered that hepatocyte ChREBP⍺ is both necessary and sufficient to maintain FAO in a cell-autonomous manner independently of its DNA-binding activity. Supplementation of synthetic PPAR⍺/δ agonist is sufficient to restore FAO in Chrebp Our findings support the protective role of hepatocyte ChREBPa against diet-induced MASLD/MASH in mouse models in part via promoting CYP2C50-driven FAO. Show less
📄 PDF DOI: 10.1016/j.molmet.2024.101957
MLXIPL

Identification of a novel prognostic signature based on vitamin metabolism clustering-related genes in lung adenocarcinoma.

Yu Chen, Yupeng Jiang, Xionghui Li +6 more · 2024 · Translational lung cancer research · added 2026-04-24
Vitamins, and their metabolic processes play essential regulatory roles in controlling proliferation, differentiation, and growth in carcinogenesis. However, the role of vitamin metabolism in lung ade Show more
Vitamins, and their metabolic processes play essential regulatory roles in controlling proliferation, differentiation, and growth in carcinogenesis. However, the role of vitamin metabolism in lung adenocarcinoma (LUAD) has rarely been reported. Here, we established a novel prognostic model based on vitamin metabolism-related genes in LUAD. In this research, we aimed to identify vitamin metabolism associated with differentially expressed genes (DEGs) in LUAD utilizing The Cancer Genome Atlas (TCGA)-LUAD, GSE68465 and GSE72094 data. Unsupervised clustering classified patients into distinct subgroups. By utilizing least absolute shrinkage and selection operator (LASSO)-Cox regression analysis, vitamin metabolism-related genes could be used to construct prognostic model. Then the vitamin metabolism gene-related risk score (VRS) was calculated based on best cut-off splitting. Kaplan-Meier analysis, time-dependent receiver operating characteristic (ROC) analysis, univariate and multivariate Cox analyses, chemotherapeutic drugs sensitivity analysis, immune infiltration analysis and nomogram were conducted to verify our models' accuracy. Finally, CPS1 was identified as a relevant diagnostic marker using Random Forests algorithms, single-cell RNA sequencing data was used to confirm its expression. We investigated the relationship between vitamin metabolism patterns, overall survival (OS), and immune infiltration levels of patients with LUAD. A prognostic signature consisting of 11 genes was developed, which was able to classify patients into high and low VRS groups. Through gene enrichment analysis, cell cycle was mainly enriched. Compared to the low VRS group, the high VRS group exhibited poorer OS, as demonstrated by the Kaplan-Meier survival analysis. Furthermore, VRS was identified as an independent predictor of poor prognosis and poor OS, as indicated by both univariate and multivariate Cox regression analyses. Additionally, a nomogram was constructed to improve the accuracy of survival predictions in LUAD patients. We also found that the two groups of patients might respond differently to immune targets and anti-tumor drugs. CPS1 was identified as a relevant diagnostic marker and the expression was also as confirmed by single-cell RNA sequencing data. Overall, our findings suggest that vitamin metabolism can influence the prognosis of LUAD patients, and our prognostic signature represents a potentially helpful resource for predicting patient outcomes and informing clinical decision-making. Show less
📄 PDF DOI: 10.21037/tlcr-24-245
CPS1

Exposome-Wide Ranking to Uncover Environmental Chemicals Associated with Dyslipidemia: A Panel Study in Healthy Older Chinese Adults from the BAPE Study.

Enmin Ding, Fuchang Deng, Jianlong Fang +23 more · 2024 · Environmental health perspectives · added 2026-04-24
Environmental contaminants (ECs) are increasingly recognized as crucial drivers of dyslipidemia and cardiovascular disease (CVD), but the comprehensive impact spectrum and interlinking mechanisms rema Show more
Environmental contaminants (ECs) are increasingly recognized as crucial drivers of dyslipidemia and cardiovascular disease (CVD), but the comprehensive impact spectrum and interlinking mechanisms remain uncertain. We aimed to systematically evaluate the association between exposure to 80 ECs across seven divergent categories and markers of dyslipidemia and investigate their underpinning biomolecular mechanisms via an unbiased integrative approach of internal chemical exposome and multi-omics. A longitudinal study involving 76 healthy older adults was conducted in Jinan, China, and participants were followed five times from 10 September 2018 to 19 January 2019 in 1-month intervals. A broad spectrum of seven chemical categories covering the prototypes and metabolites of 102 ECs in serum or urine as well as six serum dyslipidemia markers [total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, apolipoprotein (Apo)A1, ApoB, and ApoE4] were measured. Multi-omics, including the blood transcriptome, serum/urine metabolome, and serum lipidome, were profiled concurrently. Exposome-wide association study and the deletion/substitution/addition algorithms were applied to explore the associations between 80 EC exposures detection frequency Eight main ECs [1-naphthalene, 1-pyrene, 2-fluorene, dibutyl phosphate, tri-phenyl phosphate, mono-(2-ethyl-5-hydroxyhexyl) phthalate, chromium, and vanadium] were significantly associated with most dyslipidemia markers. Multi-omics indicated that the associations were mediated by endogenous biomolecules and pathways, primarily pertinent to CVD, inflammation, and metabolism. Clinical measures of cytokines and electrocardiograms further cross-validated the association of these exogenous ECs with systemic inflammation and cardiac function, demonstrating their potential mechanisms in driving dyslipidemia pathogenesis. It is imperative to prioritize mitigating exposure to these ECs in the primary prevention and control of the dyslipidemia epidemic. https://doi.org/10.1289/EHP13864. Show less
📄 PDF DOI: 10.1289/EHP13864
APOB

Naringenin inhibits the microsomal triglyceridetransfer protein/apolipoprotein B axis to inhibit intestinal metaplasia progression.

Xiangming Huang, Mengqiu Zhang, Lina Gu +9 more · 2024 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Intestinal metaplasia (IM) is a premalignant condition that increases the risk for subsequent gastric cancer (GC). Traditional Chinese medicine generally plays a role in the treatment of IM, and the p Show more
Intestinal metaplasia (IM) is a premalignant condition that increases the risk for subsequent gastric cancer (GC). Traditional Chinese medicine generally plays a role in the treatment of IM, and the phytochemical naringenin used in Chinese herbal medicine has shown therapeutic potential for the treatment of gastric diseases. However, naringenin's specific effect on IM is not yet clearly understood. Therefore, this study identified potential gene targets for the treatment of IM through bioinformatics analysis and experiment validation. Two genes (MTTP and APOB) were selected as potential targets after a comparison of RNA-seq results of clinical samples, the GEO dataset (GSE78523), and naringenin-related genes from the GeneCards database. The results of both cell and animal experiments suggested that naringenin can improve the changes in the intestinal epithelial metaplasia model via MTTP/APOB expression. In summary, naringenin likely inhibits the MTTP/APOB axis and therefore inhibits IM progression. These results support the development of naringenin as an anti-IM agent and may contribute to the discovery of novel IM therapeutic targets. Show less
no PDF DOI: 10.1002/ptr.8279
APOB