👤 X X 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, Xiao-Yu Zhang, Zhihui Zhang, Youyi Zhang, Haokun Zhang, Jason Z Zhang, Jing-Nan Zhang, Han Zhang, Caiyu Zhang, Jianhong Zhang, Wenlu Zhang, Guang Zhang, Xinran Zhang, Xiaoxi Zhang, Kongyong Zhang, Xiuming Zhang, Jiaxing Zhang, Zhaobo Zhang, Wenkui Zhang, Yintang Zhang, Wen-Jie Zhang, Zhong-Yin Zhang, Ziding Zhang, XiaoLin Zhang, Xiao-Meng Zhang, Wenwen Zhang, Jinfang Zhang, Jinliang Zhang, Xiaoyuan Zhang, Jieming Zhang, Jiannan Zhang, Tianshu Zhang, Xinheng Zhang, Shitian Zhang, Su Zhang, Wen-Xuan Zhang, Qiuyue Zhang, Bohua Zhang, C Zhang, P Zhang, Huaqi Zhang, Fuqiang Zhang, Ruihong Zhang, Shanchun Zhang, Mingjun Zhang, Aiguo Zhang, Dong Zhang, Xipeng Zhang, Lingqiang Zhang, Yonglong Zhang, Haonan Zhang, Chengyu Zhang, Xutong Zhang, Cathy C Zhang, Zhao Zhang, Xinhan Zhang, Yulong Zhang, Guowei Zhang, Yi-Min Zhang, Lizhi Zhang, Licheng Zhang, Chunhai Zhang, Rui Long Zhang, Junwei Zhang, Zhao-Ming Zhang, Lianqin Zhang, Yiyao Zhang, X Zhang, Caiyi Zhang, Xiangwu Zhang, Haoxing Zhang, Ge Zhang, Shi-Qian Zhang, Ang Zhang, Zhi-Jun Zhang, Tao Zhang, Guofang Zhang, Yinzhi Zhang, Hu Zhang, Zhuzhen Zhang, Zewei Zhang, Qingqing Zhang, Liyi Zhang, S Y Zhang, Junjing Zhang, Yongjuan Zhang, Chao-Hua Zhang, Mingyu Zhang, Kaiyi Zhang, Xuelong Zhang, Juntai Zhang, Shanxiang Zhang, Liyuan Zhang, Siyuan Zhang, Ya-Long Zhang, Mingfa Zhang, Yashuo Zhang, Chengbo Zhang, Ziqi Zhang, Jianping Zhang, Chenmin Zhang, Juliang Zhang, Xingong Zhang, Kailing Zhang, Hengrui Zhang, Yachen Zhang, Changlong Zhang, Mo-Ruo Zhang, Hanyin Zhang, Jianyong Zhang, Boxiang Zhang, Jiangyan Zhang, Mingjiong Zhang, Guan-Yan Zhang, Mingming Zhang, Meng-Ying Zhang, Zhengfen Zhang, Gui-Ping Zhang, John Z H Zhang, Hai-Liang Zhang, Z Zhang, Kunning Zhang, Fukang Zhang, Yaping Zhang, Guangyong Zhang, Shasha Zhang, Hongrui Zhang, Jianwu Zhang, Shou-Peng Zhang, Nasha Zhang, Huiqing Zhang, Chuanxin Zhang, Ke Zhang, Anqi Zhang, Haomin Zhang, Yuanping Zhang, Mengmin Zhang, Junsheng Zhang, Xinmin Zhang, Enming Zhang, Chen-Yang Zhang, Qian Jun Zhang, Guo-Wei Zhang, Zhongqi Zhang, Yawei Zhang, Yang Zhang, Yueqi Zhang, Haitao Zhang, Zhen-Shan Zhang, Wencheng Zhang, Ai Zhang, Yuetong Zhang, Jinzhou Zhang, Guo-Fang Zhang, Jingmei Zhang, Fengxu Zhang, Lei Zhang, Quan Zhang, Zhenqiang Zhang, Shengchi Zhang, Shuer Zhang, Haiyang Zhang, Xiuzhen Zhang, Chenfei Zhang, Heping Zhang, Pingmei Zhang, Yichi Zhang, Junxing Zhang, Kainan Zhang, Long Zhang, Joyce Zhang, Cheng-Lin Zhang, Zhen-Dong Zhang, Fei-Ran Zhang, Tongran Zhang, F Zhang, Hongtao Zhang, Haijiao Zhang, Dongmei Zhang, Yuzhou Zhang, Zhiming Zhang, Shuangjie Zhang, Fuquan Zhang, M X Zhang, Chengkai Zhang, Chengshi Zhang, Luyun Zhang, Jinlong Zhang, Yanxia Zhang, Xiong Zhang, Luning Zhang, Jiayu Zhang, Zuoyi Zhang, H L Zhang, Pei-Zhuo Zhang, Geng Zhang, Caiying Zhang, Qifan Zhang, Wenya Zhang, Xiao-yan Zhang, Lijie Zhang, Fengwei Zhang, Yanhong Zhang, Leo H Zhang, Yongjiu Zhang, Jiachen Zhang, Jianmin Zhang, Zhaomin Zhang, Lechi Zhang, Bangzhou Zhang, Hongxia Zhang, Xuehui Zhang, Zhenglang Zhang, Qiyong Zhang, M M Zhang, Jianjun Zhang, Guangxin Zhang, Ninghan Zhang, Ruiqi Zhang, Jianduan Zhang, Yi-Ge Zhang, Qian-Qian Zhang, Pu-Hong Zhang, Meishan Zhang, Yun-Xiang Zhang, Lirong Zhang, Yan-Qing Zhang, Xiuwen Zhang, Yunhe Zhang, Shuxia Zhang, Kang Zhang, Yongping Zhang, Chen-Yan Zhang, Yihan Zhang, Yingmei Zhang, Jin-Yu Zhang, Xianhua Zhang, Xiao Zhang, Panpan Zhang, Haowen Zhang, Zhiqiang Zhang, Huili Zhang, Yushan Zhang, Yinzhuang Zhang, Zhiyan Zhang, Bingye Zhang, Ruihao Zhang, Kunyi Zhang, Lian-Lian Zhang, Jin-Jing Zhang, Yikai Zhang, Zhaohui Zhang, Hongxin Zhang, Leilei Zhang, Rong Zhang, Xiaonyun Zhang, Haotian Zhang, Chuankuo Zhang, Chong Zhang, Le-Le Zhang, Y Y Zhang, Chao Zhang, Hao-Chen Zhang, Yating Zhang, Jishui Zhang, Wenbo Zhang, Furen Zhang, Jinfan Zhang, Fen Zhang, Yajie Zhang, Chunxia Zhang, Xiu-Li Zhang, Tong-Cun Zhang, Tongxin Zhang, Le Zhang, Churen Zhang, Hongmei Zhang, Xin-Xin Zhang, Huiyuan Zhang, Yiqian Zhang, Aihua Zhang, Qingling Zhang, Yanman Zhang, Jianguang Zhang, Jiaying Zhang, Mingyang Zhang, Guangyuan Zhang, Xinping Zhang, Naixia Zhang, Yi-Hua Zhang, Xuebin Zhang, Tongxue Zhang, Jianshe Zhang, Chenyan Zhang, Yingying Zhang, Michael Zhang, Mengmeng Zhang, Fengshuo Zhang, Yi J Zhang, Cun Zhang, Xiuping Zhang, Shao Zhang, Dong-cui Zhang, Huijun Zhang, Yuan-Yuan Zhang, Chongguo Zhang, Huanxia Zhang, Niankai Zhang, Mengna Zhang, Lianjun Zhang, Anwei Zhang, Xiaoning Zhang, Huafeng Zhang, Xiao-Qi Zhang, Junmin Zhang, Jiecheng Zhang, Qi-Lei Zhang, Ruotian Zhang, Hejun Zhang, Yongsheng Zhang, Mengqi Zhang, Yuxin Zhang, Zengqiang Zhang, Lili Zhang, Ying Zhang, Yi-yi Zhang, Yanxiang Zhang, Hailin Zhang, Yi Ping Zhang, Zhongyang Zhang, Yunhai Zhang, Aimei Zhang, Sai Zhang, Ruixin Zhang, Naijin Zhang, Hanwen Zhang, Yanfei Zhang, Guangliang Zhang, Qihong Zhang, Kaitai Zhang, Xiao-Hua Zhang, Yanqiao Zhang, Xuan Zhang, Suyang Zhang, Jianchao Zhang, Rongcai Zhang, Weiping J Zhang, Chun-Lan Zhang, Duowen Zhang, Chenggang Zhang, Chao-Sheng Zhang, Xiangyang Zhang, Weizhou Zhang, Jianwen Zhang, Yan Zhang, Xijiang Zhang, Yi-Qi Zhang, Wanqi Zhang, Hengyuan Zhang, Zhewei Zhang, Haiwei Zhang, Guangqiong Zhang, Zhiyao Zhang, Ren Zhang, Mengdi Zhang, Shuangxin Zhang, Kan Zhang, Clarence K Zhang, Qishu Zhang, Jinyi Zhang, Tie-mei Zhang, Tuo Zhang, Runyun Zhang, Hongsen Zhang, Hong-Yu Zhang, Mingyuan Zhang, Jingmian Zhang, Lei-Sheng Zhang, Xinyue Zhang, Qingxue Zhang, Meng-Wen Zhang, YiJie Zhang, Xieyi Zhang, Guoxin Zhang, Xinling Zhang, Hengming Zhang, Jinquan Zhang, Zhangjin Zhang, Xi'an Zhang, Kejian Zhang, Liang-Rong Zhang, Baojun Zhang, Yanchao Zhang, Yan-Ling Zhang, Litao Zhang, Xia Zhang, Ruizhong Zhang, Tongwu Zhang, Lingling Zhang, Guicheng Zhang, Caihong Zhang, Yongyan Zhang, Guang-Xian Zhang, Q Y Zhang, Chris Zhiyi Zhang, Feng Zhang, Chuantao Zhang, Yanyi Zhang, Suzhen Zhang, Jimei Zhang, Shuo Zhang, Yue Zhang, W X Zhang, Xuefei Zhang, Haifeng Zhang, Xuehai Zhang, Richard Zhang, Qing-Hui Zhang, Runze Zhang, Chuchu Zhang, Minyue Zhang, Naiqi Zhang, Yong-Liang Zhang, Chang-Hua Zhang, Minying Zhang, Yuansheng Zhang, Maomao Zhang, Yixin Zhang, Hongyi Zhang, Qimin Zhang, Hongyuan Zhang, Quan-bin Zhang, Jianhui Zhang, Tingxue Zhang, Pili Zhang, Zhuohua Zhang, Yunfeng Zhang, Yanlin Zhang, X-T Zhang, Guofu Zhang, Yiren Zhang, Jingyu Zhang, Peiyi Zhang, S Z Zhang, Yajing Zhang, Juqing Zhang, Luzheng Zhang, Yuanzhuang Zhang, Kaihua Zhang, Ming-Liang Zhang, Weisen Zhang, Yupei Zhang, Luwen Zhang, Ruoxuan Zhang, Xiao Min Zhang, Yongxing Zhang, Muqing Zhang, Mingxue Zhang, Guolong Zhang, Jiquan Zhang, Wenjing Zhang, Ziyang Zhang, Changteng Zhang, Jieping Zhang, Jinglu Zhang, Honghe Zhang, Donna Zhang, Yandong Zhang, Chunjun Zhang, Fei Zhang, Jiajing Zhang, Xiaoming Zhang, Jingdan Zhang, Caiping Zhang, Mengzhao Zhang, Si Zhang, Jiankun Zhang, Boqing Zhang, Wang-Dong Zhang, Xindang Zhang, Jiahe Zhang, Qiannan Zhang, Zhibo Zhang, Zijing Zhang, Mei Zhang, Guiliang Zhang, Kaichuang Zhang, Dawei Zhang, Weihua Zhang, Yuhua Zhang, Xuezhi Zhang, Shu-Yang Zhang, Jun-Jie Zhang, Xin-Ye Zhang, Luoping Zhang, Yun Zhang, Jiayan Zhang, Yifan Zhang, Songying Zhang, Xinhua Zhang, Meng Zhang, Yani Zhang, Yuchao Zhang, Lijun Zhang, Zongwang Zhang, Pei Zhang, Peiqin Zhang, Guixiang Zhang, Ruiling Zhang, Liwen Zhang, Ming-Yu Zhang, Ziyu Zhang, Yanyu Zhang, Junping Zhang, Chu-Yue Zhang, Taoyuan Zhang, Lu-Pei Zhang, Junkai Zhang, Chunqing Zhang, S Zhang, Baohu Zhang, Songlin Zhang, Liu Zhang, H F Zhang, Ruixia Zhang, Zhi-Xin Zhang, Hongyan Zhang, Jingfa Zhang, Jing-Lve Zhang, Xiaochen Zhang, Xiangzheng Zhang, Jianbo Zhang, Yiliang Zhang, Yuanhui Zhang, Bo-Ya Zhang, Xiaofeng Zhang, Yanbing Zhang, K Zhang, Zhemei Zhang, Meixian Zhang, Hanqi Zhang, Fangmei Zhang, Mingyao Zhang, Fuxing Zhang, Mengxi Zhang, Yunjia Zhang, Lin Zhang, Weifeng Zhang, Guangji Zhang, Tian Zhang, Meiling Zhang, Xiaobao Zhang, Dongsheng Zhang, Luyao Zhang, Xiaopei Zhang, Zihan Zhang, Bing-Qi Zhang, Kui-ming Zhang, Yanru Zhang, Mingjie Zhang, Lupei Zhang, Junjie Zhang, Xiaocui Zhang, Yali Zhang, Yongheng Zhang, Guilin Zhang, Xiuse Zhang, Shu-Ming Zhang, Yuxia Zhang, Qiuting Zhang, Danning Zhang, Zhi-Jie Zhang, Siqi Zhang, Rongxu Zhang, Tingying Zhang, Claire Y Zhang, Mingxuan Zhang, Lianxin Zhang, Ding Zhang, Lichuan Zhang, Yuejuan Zhang, Dingkai Zhang, Li-Fen Zhang, Zhenyu Zhang, Yingna Zhang, Yuanhao Zhang, Linyou Zhang, Lintao Zhang, Shubing Zhang, Xufang Zhang, Lei-Lei Zhang, Zhi-Peng Zhang, Xiaomeng Zhang, Guoliang Zhang, Xujun Zhang, Ji Yao Zhang, Mengnan Zhang, Shenglan Zhang, Ningkun Zhang, Zhimin Zhang, Zhiwen Zhang, Jiming Zhang, Chuanfu Zhang, Yongwei Zhang, Mao Zhang, PeiFeng Zhang, Jia-Xuan Zhang, Shiyun Zhang, Genxi Zhang, Qingjiong Zhang, Duo Zhang, Qunyuan Zhang, Yan-Chun Zhang, Yongguo Zhang, Qi Zhang, Yaozhengtai Zhang, W G Zhang, Yu-Bo Zhang, Bowen Zhang, Wangping Zhang, Xinhe Zhang, Jinrui Zhang, Yuhan Zhang, Yangqianwen Zhang, Miao-Miao Zhang, Ya-Juan Zhang, Rui Xue Zhang, Dachuan Zhang, Ji Zhang, Chunxiao Zhang, Yaming Zhang, Xinrui Zhang, Bochuan Zhang, Yurou Zhang, Zhuoya Zhang, Ming-Zhu Zhang, Song-Yang Zhang, Ruiyang Zhang, Yang-Yang Zhang, Jinjin Zhang, Xinhong Zhang, Guijie Zhang, Jifa Zhang, Hai Zhang, Dong-Mei Zhang, Jian-Ping Zhang, Zi-Jian Zhang, Xixun Zhang, Haiying Zhang, Guoming Zhang, Jianfa Zhang, Zhi-Qing Zhang, Zhe Zhang, Qilong Zhang, Yingyi Zhang, Xincheng Zhang, Shiquan Zhang, Junhan Zhang, Hai-Ying Zhang, Xiuyun Zhang, Tiefeng Zhang, Chaoyue Zhang, Hailian Zhang, Yunqi Zhang, Zhanjie Zhang, Mei-Ya Zhang, Da-Qi Zhang, Yiheng Zhang, Qingjun Zhang, Wenting Zhang, Ruoshi Zhang, Xiaoyu Zhang, Chenhui Zhang, Baorong Zhang, Yong-Guo Zhang, Xuemin Zhang, Xu Dong Zhang, Jun-Xiao Zhang, Jingshuang Zhang, Zhi-Chang Zhang, Qihao Zhang, Tonghui Zhang, Guanglei Zhang, Jia Zhang, Shiyu Zhang, Hua Zhang, Xue-Ping Zhang, Xiao Bin Zhang, Chunhong Zhang, Huayong Zhang, Jixia Zhang, Tianxiao Zhang, Daoyong Zhang, Xinlei Zhang, Yilin Zhang, Rulin Zhang, Chi Zhang, Cuijuan Zhang, Shanshan Zhang, ChaoDong Zhang, Shaohua Zhang, Quanqi Zhang, Tianxi Zhang, Xinan Zhang, Q-D Zhang, Bingkun Zhang, Haiyue Zhang, Lihua Zhang, Simin Zhang, L Zhang, Nisi Zhang, Guanghui Zhang, Chen-Song Zhang, Rugang Zhang, H-F Zhang, Qi-Ai Zhang, Jiangtao Zhang, Cai Zhang, Youying Zhang, Guimin Zhang, Haopeng Zhang, Wanyu Zhang, Guo-Xiong Zhang, Wenru Zhang, Guoqiang Zhang, Xiuqing Zhang, K Y Zhang, Xinbo Zhang, Weilong Zhang, Tongcun Zhang, Ranran Zhang, Qing-Zhu Zhang, Wanying Zhang, Junpei Zhang, Yonghong Zhang, Hailou Zhang, Qingna Zhang, Tiehua Zhang, Hai-Gang Zhang, Shuwei Zhang, Jiahai Zhang, Hong-Sheng Zhang, Mo Zhang, Mengren Zhang, Renshuai Zhang, Xiao-Jun Zhang, Xinxin Zhang, Pengfei Zhang, Jin-Man Zhang, Shikai Zhang, Wenchao Zhang, Jianxin Zhang, Junzhi Zhang, Jiangang Zhang, Qian ZHANG, Peilin Zhang, Pengpeng Zhang, Daxin Zhang, Shuaishuai Zhang, Kai-Jie Zhang, Ruizhi Zhang, Yutong Zhang, Lanlan Zhang, Huijie Zhang, Jianxia Zhang, Yuxi Zhang, Dong-Hui Zhang, Hai-Bo Zhang, Zhonglin Zhang, Mengjie Zhang, Suya Zhang, Jinwei Zhang, Genglin Zhang, Yun-Feng Zhang, Yubin Zhang, Nong Zhang, Joe Z Zhang, Yupeng Zhang, De-Jun Zhang, Ganlin Zhang, Yanmin Zhang, Jin-Ge Zhang, Qingchuan Zhang, ShiSong Zhang, Yichen Zhang, Yafang Zhang, Lian Zhang, Liwei Zhang, Xuelian Zhang, Yinjiang Zhang, Xiaowan Zhang, Yeqian Zhang, Zaifeng Zhang, Zhehua Zhang, Jianing Zhang, Chen Zhang, Jiejie Zhang, Zhanhao Zhang, Donghui Zhang, Dinghu Zhang, Guochao Zhang, Guohui Zhang, Yingchao Zhang, Zikai Zhang, Danfeng Zhang, Hongmin Zhang, Jinming Zhang, Liying Zhang, Yu Zhang, Liguo Zhang, Yujing Zhang, Jun-Xiu Zhang, Yuanxi Zhang, Peichun Zhang, Yangyu Zhang, Xue-Qing Zhang, Fu-Ping Zhang, Terry Jianguo Zhang, Hongyou Zhang, Xuejiao Zhang, Zhijiao Zhang, Wenhong Zhang, Kezhong Zhang, Yihang Zhang, Qianhui Zhang, Sizhong Zhang, Mingchang Zhang, Shulong Zhang, Kaiming Zhang, Haiming Zhang, Bo-Heng Zhang, Yingzi Zhang, Chunxiang Zhang, Xiayin Zhang, Yumeng Zhang, Hongrong Zhang, Junyu Zhang, Peng-Fei Zhang, Yuanyuan Zhang, Ci Zhang, Zhanming Zhang, Yuanxiang Zhang, Hao-Yu Zhang, Jingzhe Zhang, Junxia Zhang, Xiaogang Zhang, Bingbing Zhang, Liyin Zhang, Shuang Zhang, Cuilin Zhang, Yi-Hang Zhang, Lichao Zhang, Chengnan Zhang, Chengcheng Zhang, Qianru Zhang, Bei Zhang, Manjin Zhang, Mengni Zhang, Hongyang Zhang, Yimin Zhang, Bojian Zhang, Junhui Zhang, Dianzheng Zhang, Chaoqiang Zhang, Huiyu Zhang, Wenjia Zhang, Xin-Yuan Zhang, Yun-Lin Zhang, Yangyang Zhang, Ning-Ping Zhang, Cheng-Wei Zhang, Yaoyao Zhang, Wenguang Zhang, Wei-Jia Zhang, Qiangsheng Zhang, Hongbing Zhang, Xuehong Zhang, Xin Zhang, Xueluo Zhang, Lining Zhang, Fugui Zhang, Hongzhou Zhang, Xinquan Zhang, Huhan Zhang, Gaoxin Zhang, Zhen-lin Zhang, Gong Zhang, Weiling Zhang, Yu-Qiu Zhang, Yulin Zhang, Zhengyun Zhang, Ting Ting Zhang, Xiaofan Zhang, Li Zhang, Zhiyong Zhang, Jieqiong Zhang, Tianlong Zhang, Yingang Zhang, Tianyang Zhang, Yahua Zhang, Weikang Zhang, Zhu-Qin Zhang, Junlong Zhang, Jingwei Zhang, Zenglei Zhang, Chuankuan Zhang, Liangliang Zhang, Guo-Fu Zhang, Wangang Zhang, Peng Zhang, Yaguang Zhang, Xinruo Zhang, Xu-Jun Zhang, Zhihong Zhang, Tianye Zhang, Zhiqiao Zhang, Zhuorong Zhang, Fa Zhang, Min Zhang, Ru Zhang, Yifang Zhang, Jin-Ru Zhang, Yibo Zhang, DanDan Zhang, M H Zhang, Shengnan Zhang, Jiayuan Zhang, Bao-Rong Zhang, Chengxiong Zhang, Ke-Wen Zhang, Zixiong Zhang, Q Zhang, Fred Zhang, G-Y Zhang, Ting-Ting Zhang, Shengli Zhang, Jie Zhang, Nan Yang Zhang, Zhijun Zhang, Bangke Zhang, Hui Z Zhang, Dekai Zhang, Xiaojia Zhang, Jiao Zhang, He Zhang, Bofang Zhang, Jiayi Zhang, Xianxian Zhang, Tianliang Zhang, Zhongheng Zhang, Shiyao Zhang, Xiaojing Zhang, Jinglan Zhang, Minfang Zhang, Xiujie Zhang, Xinhai Zhang, Wenkai Zhang, Feifei Zhang, Chunyan Zhang, Hong-Zhen Zhang, Tingting Zhang, Shuya Zhang, Chao-Yang Zhang, Shang Zhang, Jingrong Zhang, Zheyuan Zhang, Wen-Xin Zhang, Xueying Zhang, W Zhang, Jiangmei Zhang, Shuai-Nan Zhang, Shiping Zhang, Kai Zhang, Y L Zhang, Zhuo-Ya Zhang, Ling-Yu Zhang, Huan-Tian Zhang, Ying E Zhang, Mengliang Zhang, Jingying Zhang, Jingsong Zhang, Yunsheng Zhang, Xuxiang Zhang, Mengyuan Zhang, Xiang Yang Zhang, Hua-Min Zhang, Chenguang Zhang, Ziyue Zhang, Bohao Zhang, Xiulan Zhang, Xiaorong Zhang, Peng-Cheng Zhang, Famin Zhang, Hao Zhang, Yong-hong Zhang, Xiangbin Zhang, Weichen Zhang, Yuheng Zhang, Xu Zhang, Jiang Zhang, Xinjiang Zhang, Chen-Qi Zhang, Lingyan Zhang, Beiyu Zhang, Haipeng Zhang, Dongxin Zhang, Yuzhu Zhang, Cong Zhang, Haihong Zhang, Yanhua Zhang, Jitai Zhang, Shaozhen Zhang, Xinfu Zhang, Pengcheng Zhang, Ruth Zhang, Guangping Zhang, Ben Zhang, Run Zhang, Chan-na Zhang, Jiawen Zhang, Wuhu Zhang, Minhong Zhang, Jiyang Zhang, Dingyi Zhang, Guangxian Zhang, Haolin Zhang, Pei-Weng Zhang, Shu-Zhen Zhang, Yiqing Zhang, Xiu Qi Zhang, Jianguo Zhang, Zhixin Zhang, M Zhang, Muzi Zhang, Huayu Zhang, Jianwei Zhang, Xunming Zhang, Da-Wei Zhang, L F Zhang, Claire Zhang, Xiping Zhang, Yanan Zhang, Z-K Zhang, Jun-ying Zhang, Kaituo Zhang, Peijing Zhang, MeiLu Zhang, Zizhen Zhang, Fengxi Zhang, Yi-Yue Zhang, Melissa C Zhang, Bin Zhang, Xuebao Zhang, Dongjian Zhang, Sophia L Zhang, Anying Zhang, Siyue Zhang, Deyin Zhang, Yuehong Zhang, Lan Zhang, Xiao-Lei Zhang, Dongjie Zhang, Hailei Zhang, Jingting Zhang, Leli Zhang, Lichen Zhang, Haozheng Zhang, Shenqian Zhang, Yin-Hong Zhang, Xuejun C Zhang, Qiu Zhang, Kaiwen Zhang, Joshua Zhang, Fushun Zhang, Hailong Zhang, Haiyan Zhang, Chengfei Zhang, Melody Zhang, Xiaojian Zhang, Shangxiong Zhang, Zhijian Zhang, Zhishuai Zhang, Qingchao Zhang, Zhiwang Zhang, Liming Zhang, Baoren Zhang, Xiuyue Zhang, Huajia Zhang, Yaxin Zhang, Sibin Zhang, Anan Zhang, Linyuan Zhang, Mingai Zhang, Muxin Zhang, Zhongxu Zhang, Xinlin Zhang, Nana Zhang, Xiaoying Zhang, Guodong Zhang, Hong-Xing Zhang, Shaofei Zhang, Fomin Zhang, Jianhai Zhang, Xindong Zhang, Zhenfeng Zhang, Mei-Fang Zhang, Wanjiang Zhang, Naisheng Zhang, Xiaojun Zhang, Meixia Zhang, Hui Zhang, Dong-Wei Zhang, Qiuyang Zhang, Ming-Jun Zhang, Fangting Zhang, Jingxi Zhang, Ruixue Zhang, Mingyue Zhang, Zongxiang Zhang, Yingqi Zhang, Jingqi Zhang, Tong Xuan Zhang, Hanrui Zhang, You-Zhi Zhang, Wendi Zhang, Yunxia Zhang, Chuting Zhang, Xueguang Zhang, Hongliang Zhang, Haojie Zhang, Yanli Zhang, Huanmin Zhang, Zeng Zhang, H Y Zhang, Wancong Zhang, Yi-Xuan Zhang, Xu-Chao Zhang, Mei-Ling Zhang, Xiaoling Zhang, Qiang-Sheng Zhang, Cai-Ling Zhang, Chang Zhang, Xiaotun Zhang, Tianyi Zhang, Sainan Zhang, Guili Zhang, Weibo Zhang, Fangyuan Zhang, Yazhuo Zhang, Zeyuan Zhang, Xiujun Zhang, Stephen X Zhang, Zhaoxue Zhang, Ting Zhang, Rui-Ning Zhang, Xiaoxue Zhang, Hainan Zhang, Zhiye Zhang, Lanfang Zhang, Lingna Zhang, Weimin Zhang, Qingyue Zhang, Limei Zhang, Yuan-Wei Zhang, Haisan Zhang, Yinghui Zhang, Yujia Zhang, Ming-Ming Zhang, Shaoyang Zhang, Jing-Fa Zhang, Hui-Jun Zhang, Jian-Xu Zhang, Yunhui Zhang, Zhiyuan Zhang, Junhua Zhang, Qunfeng Zhang, Boping Zhang, Yaoyang Zhang, Mengxue Zhang, Yinhao Zhang, Hongying Zhang, Jingyue Zhang, Quanfu Zhang, Menghui Zhang, Xueqian Zhang, Keyong Zhang, Zian Zhang, Ning Zhang, Lishuang Zhang, Congen Zhang, Shurui Zhang, Shengding Zhang, Yuping Zhang, Mengyue Zhang, Yuyu Zhang, Ying-Qian Zhang, Huiru Zhang, Jingli Zhang, Wentao Zhang, Haoran Zhang, Sheng-Qiang Zhang, Zhikun Zhang, Yiwen Zhang, Daguo Zhang, R Zhang, June Zhang, Changjing Zhang, Yanna Zhang, Lingjie Zhang, Shuijun Zhang, Zhaohuai Zhang, Xudan Zhang, Jing-Qiu Zhang, Jieying Zhang, Zhihan Zhang, Jiasheng Zhang, Ningzhen Zhang, Menghao Zhang, Xin-Yan Zhang, Yiwei Zhang, Stanley Weihua Zhang, Hongjin Zhang, Shi-Yao Zhang, Zengfu Zhang, Yongfang Zhang, Hongzhong Zhang, Dongdong Zhang, Shuyang Zhang, Qiao-Xia Zhang, Meidi Zhang, Yanfen Zhang, Xinwei Zhang, An-Qi Zhang, Zhaotian Zhang, Yuyan Zhang, Yuwei Zhang, Yusen Zhang, Yin Jiang Zhang, Youti Zhang, Yingli Zhang, Yumei Zhang, Wenxiang Zhang, Yanfeng Zhang, Benyou Zhang, Tianxin Zhang, Duoduo Zhang, Xiao-Chang Zhang, Wei-Na Zhang, Jin Zhang, Ruiying Zhang, Liyu Zhang, Hongxing Zhang, Sen Zhang, Xuting Zhang, Qianjun Zhang, Yunfan Zhang, X-Y Zhang, Zu-Xuan Zhang, Yanbin Zhang, Xiao-Ling Zhang, Xinjun Zhang, An Zhang, Yanting Zhang, Shi-Han Zhang, Nan Zhang, Shaochun Zhang, Shi-Jie Zhang, Qiong Zhang, Xinyao Zhang, Yadong Zhang, Shushan Zhang, Jinying Zhang, Xiaotian Zhang, Jinhui Zhang, Shucong Zhang, Qiwei Zhang, Weiyu Zhang, X Y Zhang, Wenxi Zhang, Gang Zhang, Shan-Shan Zhang, Weilin Zhang, Chenglong Zhang, Andrew Zhang, Jingru Zhang, Zhaoqi Zhang, Yafeng Zhang, Bi-Tian Zhang, Liqian Zhang, Hefang Zhang, Meimei Zhang, Gan Zhang, Jinyu Zhang, Boxi Zhang, Jinghui Zhang, Zhengliang Zhang, Xiao-Xuan Zhang, Deyi Zhang, Chaoyang Zhang, Kunshan Zhang, Chen-Xi Zhang, Wenxin Zhang, Zhenzhu Zhang, Zaijun Zhang, Liyan Zhang, M J Zhang, Qiang Zhang, Zhentao Zhang, Wenzhong Zhang, Chenxi Zhang, Bo Zhang, Jianling Zhang, Vita Zhang, Ji-Yuan Zhang, Yonglian Zhang, Guorui Zhang, Junling Zhang, Xiao Yu Cindy Zhang, Haihua Zhang, Wenyi Zhang, Yidan Zhang, Tiejun Zhang, Yanjiao Zhang, Renhe Zhang, Ximei Zhang, Yiting Zhang, Menglu Zhang, Xiao-Chong Zhang, Jia-Bao Zhang, Shupeng Zhang, Ruilin Zhang, Donghua Zhang, Shiti Zhang, Zilu Zhang, Tiane Zhang, Xiang Zhang, Tongtong Zhang, Shengming Zhang, Y Zhang, Yu-Yu Zhang, Zengdi Zhang, Laihong Zhang, Ruxuan Zhang, Danhua Zhang, Youjin Zhang, Yuke Zhang, Sheng-Xiao Zhang, Zhongxin Zhang, Yuting Zhang, Shihan Zhang, Jinsong Zhang, Xiaolei Zhang, Yu Chen Zhang, Yefan Zhang, Jianmei Zhang, J-Y Zhang, Minghao Zhang, Yafei Zhang, Huawen Zhang, Junxiao Zhang, Jinsu Zhang, Yuxuan Zhang, Zhen Zhang, Cheng Cheng Zhang, Jingyao Zhang, Yi-Chi Zhang, Dongyan Zhang, Haoyuan Zhang, Yiyi Zhang, Yi-Ming Zhang, J Zhang, Mingdi Zhang, Huiping Zhang, Shuchen Zhang, Tongfu Zhang, Yaling Zhang, Huibing Zhang, Hugang Zhang, Danyang Zhang, Yuhao Zhang, Xibo Zhang, Keyi Zhang, Xiaozhe Zhang, Hongjia Zhang, Chenrui Zhang, Chaobao Zhang, Dan Zhang, Changhui Zhang, Wei-Yi Zhang, Simeng Zhang, Lianfeng Zhang, Qingtian Zhang, Xiuxing Zhang, Yongguang Zhang, Changjiang Zhang, Jinxiu Zhang, Xiling Zhang, Zhan-Xiong Zhang, Tianpeng Zhang, Mingzhao Zhang, Dan-Dan Zhang, Renbo Zhang, Yujin Zhang, Xiaochun Zhang, Xinjing Zhang, Yufang Zhang, Zhongwei Zhang, Lina Zhang, Enhui Zhang, Ningning Zhang, Yunfei Zhang, Jiqiang Zhang, Ping Zhang, Jing-Bo Zhang, Zeming Zhang, Jicai Zhang, Yikun Zhang, Fuyang Zhang, Yuanchao Zhang, Sihe Zhang, Haixia Zhang, Zaiqi Zhang, Shilei Zhang, Yayong Zhang, Wenlong Zhang, Zhiguo Zhang, Jiajia Zhang, Hansi Zhang, Yerui Zhang, Zhong-Yuan Zhang, Xiaoqing Zhang, Yuchi Zhang, Yu-Qi Zhang, Shun-Bo Zhang, Xueqin Zhang, Tian-Yu Zhang, Yanping Zhang, Fengxia Zhang, Tengfang Zhang, Shiyi Zhang, Li-ping Zhang, Changquan Zhang, Rusi Zhang, Xueqia Zhang, Yimei Zhang, Ziyin Zhang, Chungu Zhang, Yufeng Zhang, Lingyu Zhang, Sisi Zhang, Changhua Zhang, Xue Zhang, Wen Zhang, Changwang Zhang, XiaoYi Zhang, Keyu Zhang, Runxiang Zhang, C D Zhang, Xi-Feng Zhang, Dadong Zhang, XueWu Zhang, Ziguo Zhang, Zhuqing Zhang, Shuhong Zhang, Di Zhang, J B Zhang, Ningzhi Zhang, Yiwan Zhang, Jennifer Y Zhang, Jiaxin Zhang, Peiwen Zhang, Hanchao Zhang, Tao-Lan Zhang, Sujiang Zhang, Chenyi Zhang, Yizhi Zhang, H D Zhang, Xu-Mei Zhang, Longzhen Zhang, Shiwu Zhang, Longlong Zhang, Pumin Zhang, Fuhan Zhang, Yingjie Zhang, Yong Zhang, H P Zhang, Feixue Zhang, Yuyuan Zhang, Kai-Qiang Zhang, Ye Zhang, Yujiao Zhang, Ruiqian Zhang, Hanxu Zhang, Zhengyu Zhang, Xiuyin Zhang, Tongshuo Zhang, Aijun Zhang, Lanjun Zhang, Mi Zhang, Gu Zhang, JingZi Zhang, Sheng Zhang, Man Zhang, Xinqiao Zhang, Ruikun Zhang, Hai-Feng Zhang, Zongping Zhang, Da Zhang, Xingyu Zhang, Shuanglu Zhang, Shun Zhang, Haoyu Zhang, Chuanyong Zhang, Rey M Zhang, Dongying Zhang, Yunqiang Zhang, Huifang Zhang, Shengye Zhang, Mingxiang Zhang, Wenjuan Zhang, Pinggen Zhang, John H Zhang, Chong-Hui Zhang, Ran Zhang, Minghui Zhang, Wencong Zhang, Ruiyan Zhang, Tianfeng Zhang, Yihao Zhang, Nu Zhang, Shenqi Zhang, Yao-Hua Zhang, Ai-Min Zhang, Shaozhao Zhang, Zhao-Huan Zhang, Jiacheng Zhang, Shao-Qi Zhang, Tian-Guang Zhang, Jibin Zhang, Chenjie Zhang, Meiwei Zhang, Sixue Zhang, Yongchang Zhang, Ying-Lin Zhang, Hongju Zhang, Xianhong Zhang, Ming-Rong Zhang, Benjian Zhang, Binbin Zhang, Meiyu Zhang, Shuwan Zhang, Weizheng Zhang, Yuyanan Zhang, Zhen-Jie Zhang, Hong Zhang, Qian-Wen Zhang, Chuan Zhang, Zhijing Zhang, Xiaoxin Zhang, Yexiang Zhang, Yonghui Zhang, Mingying Zhang, Qin Zhang, Chengrui Zhang, Zijiao Zhang, Xueli Zhang, Yizhe Zhang, Qingyun Zhang, Nannan Zhang, Shuyuan Zhang, Linan Zhang, Jifeng Zhang, Qilu Zhang, Xudong Zhang, Zhanyi Zhang, Shenglei Zhang, Xueping Zhang, Rongguang Zhang, Bing Zhang, Y H Zhang, Yu-Fei Zhang, Zhaocong Zhang, Haibo Zhang, Guojun Zhang, Na Zhang, Lijian Zhang, Huixin Zhang, Yuanzhen Zhang, Yaxuan Zhang, Liangdong Zhang, Donglei Zhang, Huilin Zhang, Shanhong Zhang, Xinyu Zhang, Jianming Zhang, Jiehao Zhang, Weiqin Zhang, Huizhen Zhang, Xian-Li Zhang, Libo Zhang, Guomin Zhang, Jianglin Zhang, Yu-Jing Zhang, Fuming Zhang, Guangye Zhang, Zhezhe Zhang, Qingshuang Zhang, Xianglian Zhang, Saidan Zhang, Mei-Qing Zhang, Shunfen Zhang, Xueming Zhang, Ling Zhang, Hanyu Zhang, Bao-Fu Zhang, XiHe Zhang, Rongxin Zhang, Karen Zhang, Liang Zhang, Junqing Zhang, Yuanqiang Zhang, Pengbo Zhang, H Zhang, Jingdong Zhang, Wenxue Zhang, Xiaocong Zhang, Jia-Su Zhang, Ya-Li Zhang, Haisen Zhang, Meijia Zhang, Jingliang Zhang, Qianqian Zhang, Yonggen Zhang, Shunming Zhang, Aileen Zhang, Hanwang Zhang, Zhihao Zhang, Zhi-Shuai Zhang, Xinlong Zhang, Jintao Zhang, Jingxue Zhang, Yinci Zhang, L-S Zhang, Ailin Zhang, Shuli Zhang, Zhizhong Zhang, Kewen Zhang, Jishou Zhang, Lusha Zhang, Guosen Zhang, Qinghong Zhang, Mengqiu Zhang, Shichao Zhang, Suming Zhang, Chengxiang Zhang, Linlin Zhang, Zhengbin Zhang, Mianzhi Zhang, Ziyi Zhang, En Zhang, Zhiqian Zhang, Chonghe Zhang, Dong-Ying Zhang, Hong-Jie Zhang, Bingqiang Zhang, Jingyi Zhang, Jianan Zhang, Yuying Zhang, Chunling Zhang, Jianbin Zhang, Kaige Zhang, Ying-Jun Zhang, Yue-Bo Zhang, Zicheng Zhang, Cuiyu Zhang, Jiuwei Zhang, Zishuo Zhang, Yihui Zhang, Jia-Si Zhang, Chenlin Zhang, Deqiang Zhang, Zhengxiang Zhang, Luo Zhang, Lilei Zhang, Tianyu Zhang, Keshan Zhang, Qunchen Zhang, Xinlu Zhang, Yuqing Zhang, Guisen Zhang, Mengguo Zhang, N Zhang, Zhi-Shuo Zhang, Lv-Lang Zhang, Lucia Zhang, Hongjuan Zhang, Quanquan Zhang, Shuyi Zhang, Chuyue Zhang, Junfeng Zhang, Hai-Man Zhang, Chun Zhang, Lihong Zhang, Kui Zhang, Hongcai Zhang, Zhuqin Zhang, Yongliang Zhang, Yueru Zhang, Zufa Zhang, Xinye Zhang, Zhong-Bai Zhang, Kejun Zhang, Huimao Zhang, Ruo-Xin Zhang, Pengwei Zhang, Xinfeng Zhang, Zhaohuan Zhang, Shu-Fan Zhang, Lukuan Zhang, Xiu-Peng Zhang, Zhaohua Zhang, Yiping Zhang, Chengwu Zhang, Hang Zhang, Yao Zhang, Wenming Zhang, Luanluan Zhang, Haicheng Zhang, Yanming Zhang, Yajun Zhang, Xingen Zhang, Honglei Zhang, Xingyuan Zhang, Sumei Zhang, Wenyuan Zhang, Rong-Kai Zhang, Guixia Zhang, Jianliang Zhang, QiYue Zhang, Xinbao Zhang, Qinghua Zhang, Jianting Zhang, Xingxing Zhang, Xueyi Zhang, Yi-Wei Zhang, Weijian Zhang, Detao Zhang, Shaofeng Zhang, Yina Zhang, Yu-Hui Zhang, Zhou Zhang, Bo-Fei Zhang, Bixia Zhang, Yuyang Zhang, Chuanmao Zhang, Hongya Zhang, Shuai Zhang, XiaoPing Zhang, Huabing Zhang, Yili Zhang, Dianbo Zhang, Huiying Zhang, Qiuxia Zhang, Xiyu Zhang, Chenyang Zhang, Wanting Zhang, Ni Zhang, Rongying Zhang, Zebang Zhang, Fengshi Zhang, Wannian Zhang, Xiao-Yong Zhang, Xue-Qin Zhang, Chunli Zhang, Ti Zhang, Lifan Zhang, Guanqun Zhang, Erchen Zhang, Chenhong Zhang, Xiaopo Zhang, Dingyu Zhang, Lie Zhang, Mingfeng Zhang, Lu-Yang Zhang, M Q Zhang, Yvonne Zhang, Sheng-Hong Zhang, Li-Jie Zhang, Huanqing Zhang, Shen Zhang, Jun Zhang, Qiguo Zhang, Teng Zhang, Haikuo Zhang, Gary Zhang, Ziping Zhang, Bei-Bei Zhang, Changlin Zhang, Aimin Zhang, Xiao-Feng Zhang, Zepeng Zhang, Zixuan Zhang, Yuan Zhang, Xiaolong Zhang, Junpeng Zhang, Boya Zhang, Fuyuan Zhang, Xiao-Qian Zhang, Zongquan Zhang, Hongyun Zhang, Yaqi Zhang, Tinghu Zhang, Xingyi Zhang, Kejia Zhang, Qiaofang Zhang, Zhicong Zhang, Xiao-Lin Zhang, Gumuyang Zhang, Xingang Zhang, Honghong Zhang, Haoyue Zhang, Shuran Zhang, Hai-Han Zhang, Yihong Zhang, Zhishang Zhang, Qing Zhang, Wenhua Zhang, Chenlu Zhang, G Zhang, Yalan Zhang, Xiaodan Zhang, Geyang Zhang, Lianbo Zhang, Aixiang Zhang, Yujie Zhang, Xiushan Zhang, Xuening Zhang, Xiao-Wei Zhang, Lulu Zhang, Linda S Zhang, Jue Zhang, Linli Zhang, Hongting Zhang, Mengjia Zhang, Huayang Zhang, Cuihua Zhang, Liuwei Zhang, Jing Jing Zhang, Wen-Jing Zhang, Shimao Zhang, Xuewei Zhang, Jingning Zhang, Wanjun Zhang, Yaoxin Zhang, Mingzhen Zhang, Jingxuan Zhang, Mei-Zhen Zhang, Lin-Jie Zhang, Yongfeng Zhang, Lida Zhang, Xuemei Zhang, Ziheng Zhang, Sha Zhang, Jin-Rui Zhang, Wenhao Zhang, Yue-Ming Zhang, Ping-Fan Zhang, 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

MiR-7683-3p from M2-exosomes attenuated atherosclerosis by activating the PPARγ-LXRα-ABCG1 pathway mediated cholesterol efflux of vascular smooth muscle cell derived foam cells.

Shuo Wang, Yunhui Lv, Xiaohu Wang +17 more · 2025 · Journal of nanobiotechnology · BioMed Central · added 2026-04-24
Impaired excretion of lipid deposits within vascular smooth muscle cell-derived foam cells (VSMC-FCs) contributes to the ongoing expansion of the plaque necrotic core. This study aims to explore the e Show more
Impaired excretion of lipid deposits within vascular smooth muscle cell-derived foam cells (VSMC-FCs) contributes to the ongoing expansion of the plaque necrotic core. This study aims to explore the effects and underlying mechanisms of exosomes secreted by M2 macrophage (M2-exos) on lipid metabolism of VSMC-FCs and plaque stability. First, immunofluorescence was used to detect the expression levels of CD45 (a recognized differentially-expressed molecule of myeloid and VSMC-FCs) and the key proteins of cholesterol efflux pathway, ABCA1 and ABCG1, in human early and late plaques. Next, an in vitro foam cell model was used to assess the effect and mechanism of M2-exos on lipid metabolism in vascular smooth muscle cells by western blot, Oil red O staining and cell total cholesterol assays. RNA-seq and quantitative real-time PCR were employed to characterize the miRNA profiles within M2-exos. The dual-luciferase reporting system and gene silencing approaches were utilized to assess the regulatory effect of candidate miRNA on target genes and signaling pathways. Subsequently, the effect of M2-exos on plaque progression and stability in ApoE Immunofluorescence revealed that compared to early plaques, VSMC-FCs (CD45 M2-exos exerted an obvious atherosclerotic protective effect, and the underlying mechanism was closely related to MiR-7683-3p, which targeted the 3'UTR of HOXA1 mRNA and activated the PPARγ-LXRα-ABCG1 mediated cholesterol efflux in VSMC-FCs. Show less
no PDF DOI: 10.1186/s12951-025-03690-7
NR1H3

A novel nuclear receptor NR1D1 suppresses HSD17B12 transcription to regulate granulosa cell apoptosis and autophagy via the AMPK pathway in sheep.

Yu Cai, Hui Xu, Kaiping Deng +8 more · 2025 · International journal of biological macromolecules · Elsevier · added 2026-04-24
Dominant follicular development and atresia are governed by the proliferation of granulosa cells (GCs), a process influenced by the delicate balance between apoptosis and autophagy. Oxidative stress, Show more
Dominant follicular development and atresia are governed by the proliferation of granulosa cells (GCs), a process influenced by the delicate balance between apoptosis and autophagy. Oxidative stress, a pivotal catalyst of GCs apoptosis, modulates gene expression through epigenetic mechanisms, including chromatin remodeling. Nevertheless, the regulatory mechanisms underpinning GCs functionality in relation to prolificacy remain inadequately elucidated. In this study, we discovered that the chromatin accessibility of nuclear receptor subfamily 1 group D member 1 (NR1D1) was markedly enhanced in dominant follicular GCs from low-prolificacy sheep, as evidenced by Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq), which correlated with elevated NR1D1 transcript levels. Remarkably, NR1D1 emerged as a novel regulator of follicular development, exhibiting heightened expression in dominant follicles. The overexpression of NR1D1 induced cell cycle arrest, autophagy activation, and mitochondrial dysfunction via the AMPK pathway, while its knockdown fostered GCs survival and functionality. Furthermore, NR1D1 inhibits the transcription of HSD17B12, thereby contributing to oxidative stress (ROS)-induced apoptosis, as demonstrated by CUT&Tag-qPCR and dual luciferase assays. The downregulation of HSD17B12 partially alleviated the effects of NR1D1 knockdown on GCs functionality. These findings indicate that NR1D1 orchestrates GCs proliferation and apoptosis through the suppression of HSD17B12 and the activation of the AMPK pathway, establishing NR1D1 as a novel transcription factor implicated in follicular development and ovarian function, with significant implications for prolificacy. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.141271
HSD17B12

Association between device-measured physical activities, type 2 diabetes, and life expectancy over the next 10 years: a prospective longitudinal study.

Ziqiang Lin, Jiade Chen, Yutai Cai +16 more · 2025 · BMC public health · BioMed Central · added 2026-04-24
The mediation effect of 24-hour physical activities on the association between type 2 diabetes and mortality is unclear. Additionally, Little evidence was found on the isotemporal substitution effect Show more
The mediation effect of 24-hour physical activities on the association between type 2 diabetes and mortality is unclear. Additionally, Little evidence was found on the isotemporal substitution effect of 24-hour physical activities components on changing Life expectancy among patients with type 2 diabetes diagnosed. To address the abovementioned research gap, the study has a two-fold aims: first, to examine the mediation effect of 24-hour physical activities in type 2 diabetes and mortality; and second, to address how reallocating time on different daily activities would affect life expectancy. Analysis was conducted on the accelerometer data of 103,359 participants in the UK Biobank, with a median age of 57 years (range 39 to 70). Compositional mediation cox model was conducted to analyze the mediating effects of 24-hour physical activities. Additionally, the cohort Life table method was utilized to estimate the changes of Life-years over the next 10 years resulting from the substitution effect of different physical activities. During a mean follow-up of 13.95 (range 2.95-16.28) years, 2,649 deaths were recorded. Diabetes was significantly associated with increased time spent engaging in sedentary behavior (SB), and reduced time spent on moderate-to-vigorous physical activity (MVPA) and light-intensive physical activity (LPA), thereby demonstrating an association with higher mortality risk. The indirect effect of physical activity (HR = 1.27, 95% CI 1.23-1.30) accounted for 41.9% of the total effect of diabetes on mortality. Furthermore, the Life expectancy gains with a maximum of 1.32 years over the next 10 years was found when reallocating SB time to MVPA. The results revealed that 24-hour physical activities might mediate the association between diabetes and mortality. Therefore, promoting participation in MVPA and reducing sedentary activities among diabetes patients was expected to have a positive effect on Life expectancy over the next 10 years. Show less
📄 PDF DOI: 10.1186/s12889-025-24662-4
LPA

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

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

Association between autoimmune disease and neurodevelopmental disorder: a Mendelian randomization analysis.

Jiangwei Qin, Yunfan Zhang, Ruolan Hu +4 more · 2025 · Italian journal of pediatrics · BioMed Central · added 2026-04-24
Neurodevelopmental disorders such as attention deficit and disruptive behaviour disorders (ADHD), autism spectrum disorder (ASD), and schizophrenia have been increasingly prevalent recently. Previous Show more
Neurodevelopmental disorders such as attention deficit and disruptive behaviour disorders (ADHD), autism spectrum disorder (ASD), and schizophrenia have been increasingly prevalent recently. Previous research has demonstrated that inflammatory activity from autoimmune diseases is involved in neurological diseases. However, some studies question the association between inflammatory activities and neurodevelopmental disorders. Herein, we attempt to clarify this relationship using Mendelian randomization (MR) analysis. We used systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and type 1 diabetes mellitus (T1D) to represent autoimmune diseases. First, we conducted MR analysis to examine associated SNPs between autoimmune and neurodevelopmental disorders. Second, we performed bidirectional MR analysis to identify 429 types of signalling peptides and proteins or relevant receptors with causality reported diseases. Finally, we compared the genes with the gene loci identified in the available TWAS-hub site. The MR results of autoimmune diseases on neurodevelopmental disorders did not present any significant association in all models. However, we identified 20-45 factors in ADHD, ASD, and schizophrenia, including semaphorin 3, IL-27 receptor subunit alpha, and fibroblast growth factor 16, which were considered clinically significant pro-inflammatory mediators. GO and KEGG enrichment analyses revealed unequal integrities among the three neurodevelopmental diseases, and we failed to identify a shared pathway linking autoimmune diseases and neurodevelopmental disorders. TWAS analysis indicated that CHRNA5 potentially mediates inflammatory activities in schizophrenia. According to our data, we failed to identify an association between autoimmune diseases and neurodevelopmental disorders. However, we demonstrated that some pro-inflammatory factors are involved in neurodevelopmental disorders. Show less
📄 PDF DOI: 10.1186/s13052-025-01910-2
IL27

Dexmedetomidine and dezocine targets (NR1H3 and ADRB1) are potential prognostic biomarkers for breast cancer.

Shaochun Zhang, Fang Yuan, Jing Ke · 2025 · Discover oncology · Springer · added 2026-04-24
Breast cancer (BRCA) is a prevalent malignant tumor among women, and the use of anesthetic drugs during surgical resection may influence tumor biology and patient prognosis. This study aimed to identi Show more
Breast cancer (BRCA) is a prevalent malignant tumor among women, and the use of anesthetic drugs during surgical resection may influence tumor biology and patient prognosis. This study aimed to identify prognostic biomarkers associated with dexmedetomidine and dezocine (DD) in BRCA patients. Through Mendelian Randomization analysis, we screened four DD targets that had a causal relationship with BRCA. Subsequently, utilizing TCGA-BRCA data, univariate and Lasso Cox analyses revealed two significant prognostic biomarkers (NR1H3 and ADRB1) associated with BRCA patient prognosis, leading to the successful construction and validation of a prognostic risk model. Kaplan-Meier survival curves indicated that patients with higher NR1H3 and ADRB1 expression had longer overall survival (OS). Immunoinfiltration analysis showed that high-risk group patients exhibited increased infiltration levels of CD56 bright natural killer cells, CD56 dim natural killer cells, eosinophils, and plasmacytoid dendritic cells. Conversely, activated B cells and immature B cells demonstrated greater infiltration in the low-risk group. Correlation analysis revealed significant associations between prognostic biomarkers and various immune cells, including CD56 bright natural killer cells, CD56 dim natural killer cells, and activated CD8 T cells. NR1H3 was highly positively correlated with immune checkpoints such as TIGIT, PDCD1, CD274, CTLA4, LAG3, and HAVCR2 (|cor|≥0.3, The online version contains supplementary material available at 10.1007/s12672-025-03694-7. Show less
no PDF DOI: 10.1007/s12672-025-03694-7
NR1H3

The Wnt/APC destruction complex targets SREBP2 in a β-catenin-independent pathway to control cholesterol metabolism.

Ahmed Rattani, Cora Anderson, William V Trim +7 more · 2025 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
APC, the core scaffold of the Wnt destruction complex, targets the transcriptional co-activator β-catenin for proteolysis. There is no convincing evidence that APC directs degradation of other substra Show more
APC, the core scaffold of the Wnt destruction complex, targets the transcriptional co-activator β-catenin for proteolysis. There is no convincing evidence that APC directs degradation of other substrates. Using a reconstituted cytosolic extract-based system and complementary in vivo and cellular assays, we show that SREBP2, the master regulator of cholesterol biosynthesis, is a direct APC-AXIN1 substrate. APC-dependent SREBP2 degradation is conserved in Show less
📄 PDF DOI: 10.1101/2025.10.12.681896
AXIN1

Dried Blood Spots to Assess Cardiovascular-Kidney-Metabolic Health.

Tyler A Jacobson, Kian J Rahbari, William A Schwartz +14 more · 2025 · Journal of the American Heart Association · added 2026-04-24
Dried blood spot sampling offers a scalable strategy to close diagnostic gaps and improve global surveillance for cardiovascular-kidney-metabolic syndrome. However, assay performance and the extent of Show more
Dried blood spot sampling offers a scalable strategy to close diagnostic gaps and improve global surveillance for cardiovascular-kidney-metabolic syndrome. However, assay performance and the extent of validity vary widely between biomarkers used in cardiovascular-kidney-metabolic health assessment under different settings and have not been well described. To fill this gap, we conducted a systematic search of the literature and a narrative synthesis through April 2024 and included reports with laboratory or field validation measuring biomarkers that can be used in cardiovascular-kidney-metabolic health assessment. We categorized assays into categories based on laboratory validation: excellent performance (r>0.95 with gold standard methods and coefficients of variation <5%), very good performance (r>0.90 and coefficients of variation <10%), reasonable performance (r>0.80 and coefficients of variation <15%), and poor performance (r<0.80 or coefficients of variation >15%). The extent of validation was determined by the total number of field validation studies with strong agreement. Hemoglobin A1c has strong laboratory and field validation and should be considered for expansion into clinical testing in low-resource settings. Traditional lipid biomarkers showed poor performance in field validation studies, but apoB (apolipoprotein B), creatinine, cystatin C, and NT-proBNP (N-terminal prohormone of brain natriuretic peptide) showed promising initial laboratory validation results and deserve greater attention in field validation studies. High-sensitivity C-reactive protein has strong laboratory and field validation but has limited clinical utility. Dried blood spot assays have been developed for biomarkers that offer mechanistic insights including inflammatory and vascular injury markers, fatty acids, malondialdehyde, asymmetric dimethylarginine, trimethylamine N-oxide, carnitines, and omics. Show less
📄 PDF DOI: 10.1161/JAHA.124.037454
APOB

Multivariate genome-wide association study of suicidal behaviors in >1.7 million individuals of diverse population descents.

Jun He, Brenda Cabrera-Mendoza, Dan Qiu +7 more · 2025 · medRxiv : the preprint server for health sciences · added 2026-04-24
While previous genome-wide association studies (GWAS) identified multiple risk loci for suicide ideation (SI) and suicide attempt (SA), there is still a limited understanding of the genetic predisposi Show more
While previous genome-wide association studies (GWAS) identified multiple risk loci for suicide ideation (SI) and suicide attempt (SA), there is still a limited understanding of the genetic predisposition underlying suicidal behaviors in diverse populations. This study aimed to conduct a large-scale investigation of the suicidality spectrum (SP) to generate new insights into its biology and epidemiology. Leveraging ancestrally diverse participants (SI N This study provides convergent genetic evidence for both shared and phenotype-specific components of suicidal behaviors and delineates their associated factors spanning from proximal clinical and behavioral traits to more distal social determinants. These findings refine our understanding of the etiology of suicidal behaviors and may inform targeted strategies for suicide prevention in both clinical and public health settings. Show less
no PDF DOI: 10.64898/2025.12.15.25342298
BRWD1

Metformin Boosts Intestinal Lipid Sensing via GIP to Suppress Feeding.

Rachel Kuah, Melissa T Wang, Zeyu Yang +8 more · 2025 · Diabetes · added 2026-04-24
An acute increase of lipids in the upper small intestine (USI) of rodents and humans triggers lipid-sensing pathways to reduce food intake. However, USI lipid sensing does not reduce feeding in high-f Show more
An acute increase of lipids in the upper small intestine (USI) of rodents and humans triggers lipid-sensing pathways to reduce food intake. However, USI lipid sensing does not reduce feeding in high-fat (HF) fed conditions, and the underlying mechanism remains elusive. Here, we report that HF feeding in male rats impaired USI lipid infusion to stimulate glucose-dependent insulinotropic polypeptide (GIP) secretion and decrease refeeding, and the defects of USI lipid sensing were restored by metformin. Next, we found that infusion of GIP receptor (GIPR) agonist in the nucleus of the solitary tract (NTS), but not mediobasal hypothalamus or area postrema, resulted in decreased refeeding in chow-fed rats. The anorectic effect of NTS GIPR agonist remained intact in HF rats and was inhibited by a genetic knockdown of GIPR. Finally, an inhibition of NTS GIPR also negated the ability of USI lipid sensing with metformin to decrease refeeding despite an increase in plasma GIP levels in HF rats. Thus, USI lipid sensing in HF rats is enhanced by metformin to trigger an endocrine GIP to NTS GIPR axis to reduce food intake, thereby unveiling small intestinal lipid-sensing pathways as potential targets to enhance GIP action and reduce weight in obesity. High-fat (HF) feeding in rats impairs upper small intestine (USI) lipid sensing to increase plasma glucose-dependent insulinotropic polypeptide (GIP) levels and reduce feeding. Metformin enhances USI lipids to increase GIP and reduce feeding in HF-fed rats. GIP activates the GIP receptor (GIPR) in the nucleus of the solitary tract (NTS), which reduces food intake in HF-fed rats. GIPR in the NTS is required for small intestinal lipids with metformin to reduce feeding. Show less
no PDF DOI: 10.2337/db25-0100
GIPR

Genetic analyses identify circulating genes related to brain structures associated with Parkinson's disease.

Zhe Han, Yanping Zhu, Zhenhong Xia +9 more · 2025 · NPJ Parkinson's disease · Nature · added 2026-04-24
Magnetic resonance imaging and circulating molecular testing are potential methods for diagnosing and treating Parkinson's disease (PD). However, their relationships remain insufficiently studied. Usi Show more
Magnetic resonance imaging and circulating molecular testing are potential methods for diagnosing and treating Parkinson's disease (PD). However, their relationships remain insufficiently studied. Using genome-wide association summary statistics, we found in the general population a genetic negative correlation between white matter tract mean diffusivity and PD (-0.17 < Rg < -0.11, p < 0.05), and a positive correlation with intracellular volume fraction (0.12 < Rg < 0.2, p < 0.05). Additionally, 1345 circulating genes causally linked with white matter tract diffusivity were enriched for muscle physiological abnormalities (padj < 0.05). Notable genes, including LRRC37A4P (effect size = 15.7, p = 1.23E-55) and KANSL1-AS1 (effect size = -15.3, p = 1.13E-52), were directly associated with PD. Moreover, 23 genes were found linked with genetically correlated PD-IDP pairs (PPH4 > 0.8), including SH2B1 and TRIM10. Our study bridges the gap between molecular genetics, neuroimaging, and PD pathology, and suggests novel targets for diagnosis and treatment. Show less
📄 PDF DOI: 10.1038/s41531-024-00859-z
KANSL1

Multi-omics analysis unraveling stemness features associated with oncogenic dedifferentiation in 12 cancers.

Jun Cheng, Jiafan Cao, Yalan Yang +16 more · 2025 · Cancer letters · Elsevier · added 2026-04-24
Tumorigenesis is typically accompanied by cellular dedifferentiation and the acquisition of stem cell-like attributes. However, few studies have comprehensively evaluated the putative relationships be Show more
Tumorigenesis is typically accompanied by cellular dedifferentiation and the acquisition of stem cell-like attributes. However, few studies have comprehensively evaluated the putative relationships between these characteristics and various cancers. Here, we integrated gene expression and DNA methylation quantitative trait loci (cis-eQTL and cis-mQTL) data from the blood to perform multi-omics Mendelian randomization analysis. Our analyses revealed 967 stem cell-associated genes (P < 0.05) and 11,262 methylation sites (P < 0.01) significantly related to 12 cancers. SMAD7 (cg14321542) in colon cancer, IGF2 (cg13508136) in prostate cancer, and FADS1 (cg07005513) in rectal cancer were prioritized as candidate causal genes and regulatory elements. Notably, using cis-eQTL data from the corresponding tissue sites, we detected 16 stem cell-associated genes dramatically causally associated with six cancers (FDR<0.2). The gene THBS3 was particularly common in both blood and stomach tissues and exhibited prognostic significance. Furthermore, it was markedly associated with one microbial metabolic pathway and four immunophenotypes. Functional validation using the ECC12 gastric cancer cell line revealed that the inhibition of its expression could accelerate oxidative phosphorylation and reactive oxygen species production, reduce clonal proliferation ability, and promote the apoptosis of stomach tumor cells. Additionally, based on spatial transcriptomic data from gastrointestinal cancers, the results demonstrated the clusters enriched with the most stem cell-associated genes exhibited significantly enhanced tumor-promoting potency, and the THBS3-expressing cells displayed suppressed oxidative phosphorylation. Overall, this study enhances our understanding of tumorigenic mechanisms and aids in the identification of therapeutic targets. Show less
no PDF DOI: 10.1016/j.canlet.2025.217816
FADS1

Risk Assessment of Serum Biomarkers with Perioperative Neurocognitive Dysfunction in Elderly Patients Undergoing Thoracic Surgery: A Prospective Cohort Study.

Zhijing Zhang, Di Wang, Riguang Zhong +6 more · 2025 · Cellular and molecular neurobiology · Springer · added 2026-04-24
Perioperative neurocognitive disorder (PND) is a common complication following thoracic surgery and often leading to poor outcomes. Despite ongoing research, effective treatments for late PND remain l Show more
Perioperative neurocognitive disorder (PND) is a common complication following thoracic surgery and often leading to poor outcomes. Despite ongoing research, effective treatments for late PND remain limited. Identifying reliable biomarkers for early diagnosis is, therefore, essential. A prospective cohort study was conducted with 60 elderly patients undergoing thoracic surgery. Serum samples were collected within 10 minutes prior to anesthesia and following extubation to measure adiponectin (APN), cyclic adenosine monophosphate (cAMP), protein kinase A (PKA), aquaporin-4 (AQP4) and brain-derived neurotrophic factor (BDNF). Among PND patients, serum APN, PKA, AQP4, and BDNF levels were markedly decreased compared with the normal group. While serum cAMP (HR = 1.087, p = 0.695, 95% CI [0.284-4.166]) and PKA (HR = 0.996, p = 0.09, 95% CI [0.491-0.947]) were not significantly correlated with PND, serum APN (HR = 0.307, 95% CI [0.113-0.835], p = 0.021), AQP4 (HR = 0.204, 95% CI [0.060-0.697], p = 0.011), and BDNF (HR = 0.382, 95% CI [0.177-0.823], p = 0.014) were protective factors against PND. ROC analysis demonstrated that APN (AUC = 0.68, 95% CI [0.51-0.87]), AQP4 (AUC = 0.73, 95% CI [0.59-0.87]), BDNF (AUC = 0.73, 95% CI [0.59-0.87]), and the model of combining those biomarkers (AUC = 0.91, 95% CI [0.83-0.99]) could predict PND. PND patients exhibited a lower protective stress response to surgical trauma. High serum APN, AQP4, and BDNF levels were independent protective factors for PND, and a combined model of these biomarkers showed predictive potential for PND. Show less
📄 PDF DOI: 10.1007/s10571-025-01636-z
BDNF

3D printing combined with thermally induced phase separation for engineering hierarchical osteogenic PLA scaffolds.

Xinyi Yun, Ziyue Li, Zi Yan +13 more · 2025 · Materials today. Bio · Elsevier · added 2026-04-24
Accelerated population aging and rising incidence of bone defects have intensified the need for advanced bone regeneration strategies. While tissue-engineered scaffolds fabricated via 3D printing offe Show more
Accelerated population aging and rising incidence of bone defects have intensified the need for advanced bone regeneration strategies. While tissue-engineered scaffolds fabricated via 3D printing offer promising alternatives to conventional grafts, most techniques fail to replicate the multi-scale fibrous architecture of native bone extracellular matrix, limiting their biofunctionality. To address this, we developed a hybrid manufacturing strategy integrating low-temperature thermally induced phase separation with extrusion-based 3D printing of polylactic acid (PLA) scaffolds. By optimizing solvent ratios (THF: DMF = 3:1) and freezing temperatures (-196 °C-4 °C), we produced scaffolds with tunable micro-nano fibrous surfaces and macroporous structures. Key findings revealed that scaffolds processed at -196 °C (PLA-196) exhibited the highest porosity (pore size: 6.01 ± 2.06 μm), superior hydrophilicity, and enhanced compressive modulus. These scaffolds significantly promoted BMSC adhesion, proliferation, and osteogenic differentiation via activation of Show less
📄 PDF DOI: 10.1016/j.mtbio.2025.102621
MACF1

A head-to-head comparison of [

Huiqing Yuan, Xiaoshan Chen, Xinming Zhao +10 more · 2025 · European journal of nuclear medicine and molecular imaging · Springer · added 2026-04-24
This study aimed to compare the diagnostic value of [ A prospective study was conducted between March 2023 and July 2023. Patients with high clinical suspicion of lung cancer were recruited. Each part Show more
This study aimed to compare the diagnostic value of [ A prospective study was conducted between March 2023 and July 2023. Patients with high clinical suspicion of lung cancer were recruited. Each participant underwent PET/CT scanning using [ A total of 101 participants were included (mean age 63.267 ± 9.344 [range 39-86 years]). In benign lung lesions, [ [ Show less
📄 PDF DOI: 10.1007/s00259-024-06976-4
FGFR1

Fibrocyte enrichment and myofibroblastic adaptation causes nucleus pulposus fibrosis and associates with disc degeneration severity.

Yi Sun, Yan Peng, Zezhuo Su +10 more · 2025 · Bone research · Nature · added 2026-04-24
Fibrotic remodeling of nucleus pulposus (NP) leads to structural and mechanical anomalies of intervertebral discs that prone to degeneration, leading to low back pain incidence and disability. Emergen Show more
Fibrotic remodeling of nucleus pulposus (NP) leads to structural and mechanical anomalies of intervertebral discs that prone to degeneration, leading to low back pain incidence and disability. Emergence of fibroblastic cells in disc degeneration has been reported, yet their nature and origin remain elusive. In this study, we performed an integrative analysis of multiple single-cell RNA sequencing datasets to interrogate the cellular heterogeneity and fibroblast-like entities in degenerative human NP specimens. We found that disc degeneration severity is associated with an enrichment of fibrocyte phenotype, characterized by CD45 and collagen I dual positivity, and expression of myofibroblast marker α-smooth muscle actin. Refined clustering and classification distinguished the fibrocyte-like populations as subtypes in the NP cells - and immunocytes-clusters, expressing disc degeneration markers HTRA1 and ANGPTL4 and genes related to response to TGF-β. In injury-induced mouse disc degeneration model, fibrocytes were found recruited into the NP undergoing fibrosis and adopted a myofibroblast phenotype. Depleting the fibrocytes in CD11b-DTR mice in which myeloid-derived lineages were ablated by diphtheria toxin could markedly attenuate fibrous modeling and myofibroblast formation in the NP of the degenerative discs, and prevent disc height loss and histomorphological abnormalities. Marker analysis supports that disc degeneration progression is dependent on a function of CD45 Show less
📄 PDF DOI: 10.1038/s41413-024-00372-2
ANGPTL4

Decoding the Therapeutic Effects of Acupuncture in Hemorrhagic Stroke Using Single-Cell RNA Sequencing.

Chen Ruan, Jia Du, Wentao Zhang +8 more · 2025 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Acupuncture has been proposed as a therapeutic intervention for stroke recovery, yet the underlying molecular mechanisms remain poorly understood. In this study, we used a mouse model of hemorrhagic s Show more
Acupuncture has been proposed as a therapeutic intervention for stroke recovery, yet the underlying molecular mechanisms remain poorly understood. In this study, we used a mouse model of hemorrhagic stroke induced by autologous blood injection to investigate the effects of acupuncture on post-stroke recovery at the cellular and molecular levels, utilizing single-cell RNA sequencing. Our findings revealed that acupuncture modulates the gene expression of microglia, astrocytes, and oligodendrocytes, three major glial cell types, which may contribute to the improvement of stroke-induced phenotypes. Notably, we identified a potential role of the APOE-TREM2 signaling axis, with ligand-binding interactions enhancing microglia activation and promoting their neuroprotective functions. These findings also suggested that acupuncture may promote microglia-astrocyte interactions, leading to enhanced neuroinflammation resolution and tissue repair. Our study provided new insights into the cellular mechanisms underlying acupuncture's therapeutic effects in stroke recovery and highlighted the potential of targeting glial cell-mediated pathways, including APOE-TREM2, as a strategy for improving post-stroke rehabilitation. Show less
📄 PDF DOI: 10.1002/cns.70689
APOE

The overlooked trio: sleep duration, sampling time and physical exercise alter levels of olink-assessed blood biomarkers of cardiovascular risk.

Luiz Eduardo Mateus Brandão, Lei Zhang, Anastasia Grip +11 more · 2025 · Biomarker research · BioMed Central · added 2026-04-24
Biomarker profiling from biofluids such as blood are widely measured in clinical research, using for example Olink proteomics panels. One such research focus area is cardiovascular disease (CVD), for Show more
Biomarker profiling from biofluids such as blood are widely measured in clinical research, using for example Olink proteomics panels. One such research focus area is cardiovascular disease (CVD), for which chronic sleep restriction (SR) is a risk factor. However, it remains unclear whether blood levels of commonly measured CVD biomarkers are sensitive to acute dynamic factors such as SR, physical exercise (PEx), and time of day. In this crossover design, 16 normal-weight, healthy men underwent three highly standardized in-lab nights of SR (4.25 h/night) and normal sleep (NS, 8.5 h/night) in randomized order, with 88 CVD blood protein biomarkers quantified using the Olink technology (and selected validation using ELISA) in the morning, evening, and immediately before and repeatedly after 30 min of high-intensity exercise. We found significant time-of-day-dependent changes in several CVD biomarkers. Whereas several proteins were exercise-induced across sleep conditions (such as the canonical exerkines IL- 6 and BDNF), exercise-induced proteomic dynamics differed in response to recurrent SR, compared with following NS. Moreover, SR compared with NS resulted in a biomarker profile previously associated with increased prospective risk of several CVDs across large-scale cohorts (such as higher circulating levels of IL-27 and LGALS9). Our findings highlight how dynamic physiology can modulate CVD biomarker levels. These results also underscore the need to consider sleep duration as a key determinant of cardiovascular health-an emphasis reflected in recent American Heart Association guidelines. Further studies in women, older individuals, and patients with prior CVD, and across different chronotypes and dietary schedules are warranted. Show less
📄 PDF DOI: 10.1186/s40364-025-00776-0
IL27

Decoding Potential Cuproptosis-Related Genes in Sarcopenia: A Multi-Omics Network Analysis.

Hongyu Yan, Long Shi, Yang Li +1 more · 2025 · Biology · MDPI · added 2026-04-24
Sarcopenia is a common age-related skeletal muscle disorder that lacks diagnostic and therapeutic options. Emerging evidence suggests that cuproptosis, a copper-dependent form of regulated cell death, Show more
Sarcopenia is a common age-related skeletal muscle disorder that lacks diagnostic and therapeutic options. Emerging evidence suggests that cuproptosis, a copper-dependent form of regulated cell death, contributes to muscle atrophy, yet the underlying associations remain poorly understood. To address this gap, we integrated two GEO datasets (GSE1428 and GSE25941) for differential expression analysis and applied weighted gene co-expression network analysis (WGCNA) to identify disease-related modules. Cuproptosis-related genes (CRGs) from GeneCards database were intersected with DEGs and WGCNA gene modules to obtain sarcopenia-associated cuproptosis DEGs (SAR-CUP DEGs). Functional enrichment was performed using GO, KEGG, GSEA and GSVA. Hub genes were further identified through three machine learning algorithms (LASSO, RF, and SVM). Regulatory networks were constructed via NetworkAnalyst and GeneMANIA database. A diagnostic model was also developed and later validated in an independent dataset (GSE136344). Experimental validation was performed in a D-galactose-induced sarcopenia cell model. We identified 367 DEGs and 7 co-expression modules, among which 14 SAR-CUP DEGs were mainly enriched in mitochondrial energy metabolism pathways. Machine learning methods highlighted Show less
no PDF DOI: 10.3390/biology14121642
PABPC4

Integrative transcriptomic and single-cell analysis reveals IL27RA as a key immune regulator and therapeutic indicator in breast cancer.

Yi Chen, Munawar Anwar, Xiaoli Wang +2 more · 2025 · Discover oncology · Springer · added 2026-04-24
Interleukin-27 receptor alpha (IL27RA), a key subunit of the interleukin-27 receptor, plays an essential role in T cell-mediated immunity. However, its relevance in breast cancer and response to immun Show more
Interleukin-27 receptor alpha (IL27RA), a key subunit of the interleukin-27 receptor, plays an essential role in T cell-mediated immunity. However, its relevance in breast cancer and response to immunotherapy remains unexplored. We integrated bulk and single-cell RNA sequencing data from TCGA, GEO, and scRNA-seq datasets to analyze IL27RA expression, prognosis, immune infiltration, and treatment response. TIDE and immune checkpoint-treated clinical cohorts were used to assess immunotherapy responsiveness. Chemotherapy sensitivity was predicted using GDSC data, and IL27RA protein expression was validated by Western blot. IL27RA was downregulated in breast cancer but high expression correlated with favorable survival. It was primarily expressed in T cells, particularly CD8⁺ subsets, and associated with enriched immune infiltration and elevated checkpoint gene expression. IL27RA high-expression patients showed lower TIDE scores, better outcomes in ICI-treated cohorts, and higher sensitivity to multiple chemotherapeutic agents. IL27RA is a potential immune biomarker that reflects an inflamed tumor microenvironment and predicts benefit from immunotherapy and chemotherapy in breast cancer. These findings provide novel insights into immune-based stratification using single-cell transcriptomic data. Show less
📄 PDF DOI: 10.1007/s12672-025-02811-w
IL27

The impact of tamoxifen on apolipoproteins and lipoprotein(a) levels: an updated meta-analysis of randomized controlled trials.

Yi Jiang, Lantian Zhang, Dongyi Shen +1 more · 2025 · Endocrine · Springer · added 2026-04-24
The existing evidence regarding the impact of tamoxifen on lipoprotein(a) and apolipoproteins remains inconsistent. Therefore, this updated meta-analysis of randomized controlled trials (RCTs) aims to Show more
The existing evidence regarding the impact of tamoxifen on lipoprotein(a) and apolipoproteins remains inconsistent. Therefore, this updated meta-analysis of randomized controlled trials (RCTs) aims to enhance the quality of evidence concerning the effects of tamoxifen on these lipid parameters. Eligible RCTs published up to October 2024 were meticulously selected through a comprehensive search. A meta-analysis was then performed using a random-effects model, and results were presented as the weighted mean difference (WMD) with a 95% confidence interval (CI). Findings from the random-effects model revealed an increase in ApoA-I (WMD: 15.22 mg/dL, 95% CI: 6.43-24.01, P = 0.001), alongside decreases in ApoB (WMD: -9.33 mg/dL, 95% CI: -15.46 to -3.19, P = 0.003) and lipoprotein(a) (WMD: -3.35 mg/dL, 95% CI: -5.78 to -0.91, P = 0.007) levels following tamoxifen treatment in women. Subgroup analyses indicated a more significant reduction in lipoprotein(a) levels in RCTs with a duration of ≤24 weeks (WMD: -3.65 mg/dL) and in studies using tamoxifen doses of ≥20 mg/day (WMD: -4.53 mg/dL). This meta-analysis provides evidence that tamoxifen leads to a decrease in lipoprotein(a) levels, along with reductions in ApoB and increases in ApoA-I among women. Show less
📄 PDF DOI: 10.1007/s12020-024-04128-0
APOB

Illuminating the FGFR fusion landscape in Chinese patients: unveiling novel molecular insights and clinical implications.

Zhuo Liu, Dandan Zhao, Baoming Wang +14 more · 2025 · The oncologist · Oxford University Press · added 2026-04-24
Despite the increasing approval and ongoing clinical trials of FGFR-targeted therapies, accurately detecting FGFR fusions remains a challenge due to limited research, low incidence rates, complex fusi Show more
Despite the increasing approval and ongoing clinical trials of FGFR-targeted therapies, accurately detecting FGFR fusions remains a challenge due to limited research, low incidence rates, complex fusion partner distribution, and unique kinase domain distribution. We conducted a multicenter study to comprehensively profile FGFR fusions in the largest Chinese pan-cancer cohort to date, comprising 118 FGFR fusions from 114 individuals. Both DNA- and RNA-based sequencing approaches were utilized to reveal novel and fundamental features of FGFR fusion. Our research reveals an incidence rate of 0.96% for FGFR rearrangements within this Chinese cohort, including a high incidence rate of FGFR fusions (40%) in parotid gland carcinoma. However, this is based on a small sample size of 5 tumors and should be interpreted cautiously pending validation in larger cohorts. We also uncovered distinct breakpoint distribution patterns across various FGFR rearrangements. For example, a primary breakpoint in intron17 of FGFR2 was predominant (21/22), while FGFR1/3 breakpoints displayed substantial diversity. For the first time, we identified "hot" breakpoints in FGFR1 intron17, exon18, and FGFR3's 3' untranslated region. These findings underline the importance of incorporating these regions in targeted sequencing to ensure comprehensive detection of FGFR1/3 fusions. Notably, we observed a predilection for intrachromosomal distribution in common FGFR1/2/3 fusions. In contrast, most novel fusions (12/15) exhibited an interchromosomal distribution pattern, indicating variations in the fusion formation mechanism. Importantly, our study demonstrates the substantial incremental value of RNA-NGS or other orthogonal methods in confirming the functionality of FGFR rearrangements initially identified by DNA sequencing. In our cohort, 46% (6/13) of rare FGFR1/2/3 fusions lacked detectable RNA transcripts; however, this does not definitively indicate non-functionality as factors such as low RNA quality, expression below detection limits, or nonsense-mediated decay may contribute. Therefore, RNA-based validation is critical for accurately identifying potentially targetable FGFR fusions and guiding therapy. Our findings offer critical novel insights into functional FGFR fusions and bear considerable clinical implications for identifying individuals whose tumors are most likely to respond favorably to FGFR-targeted therapies. Show less
📄 PDF DOI: 10.1093/oncolo/oyaf347
FGFR1

Mechanism of Panax notoginseng saponins in improving cognitive impairment induced by chronic sleep deprivation based on the integrative analysis of serum metabolomics and network pharmacology.

Mei-Ya Zhang, Chao Yin, Li Ding +5 more · 2025 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Panax notoginseng saponin (PNS) has a variety of biological activities, such as improvement of myocardial ischemia, improvement of learning and memory, hypolipidemia, and immunomodulation. However, it Show more
Panax notoginseng saponin (PNS) has a variety of biological activities, such as improvement of myocardial ischemia, improvement of learning and memory, hypolipidemia, and immunomodulation. However, its protective mechanism on the central nervous system (CNS) is not clear. The present study initially evaluated the possible mechanism of PNS to improve cognitive dysfunction due to chronic sleep deprivation (CSD). In the present study, we used a modified multi-platform aquatic environment sleep deprivation method to induce a cognitively impaired rat model, and explored the mechanism of action of PNS by integrating serum metabolomics and network pharmacology, which was further verified by molecular docking and experiments. The results showed that PNS significantly shortened the escape latency, increased the target quadrant time and the number of traversing platforms, and attenuated the inflammatory damage in the hippocampal Cornu Ammonis 1 (CA1) region in CSD rats. The non-targeted metabolomics results indicated that 35 biomarkers significantly altered following PNS therapy intervention, with metabolic pathways enriched for the effects of One carbon pool by folate, Riboflavin metabolism, Glycerophospholipid metabolism, Sphingolipid metabolism, Glycerolipid metabolism, Arachidonic acid metabolism, and Tryptophan metabolism. In addition, network pharmacology identified 234 potential targets for PNS intervention in CSD with cognitive impairment. Metabolite-response-enzyme-gene network was constructed by MetaScape and matched with the network pharmacology results to identify a total of five shared targets (LPL, GPAM, HSD11B1, HSD11B2, and SULT2A1) and two metabolic pathways (Sphingolipid metabolism and Steroid hormone biosynthesis). The results of molecular docking revealed that the five active ingredients had good binding ability with the five core targets. qPCR analysis confirmed the ability of PNS to modulate the above five targets. The combination of metabolomics and network analysis provides a scientific basis for promoting the clinical application of PNS in cognitive impairment. Show less
no PDF DOI: 10.1016/j.jep.2024.118988
LPL

NSUN2/ALYREF-medicated m5C-modified circRNA505 regulates the proliferation, differentiation, and glycolysis of antler chondrocytes via the miRNA-127/p53 axis and LDHA.

Haibo Yao, Mengmeng Song, Huan Zhang +5 more · 2025 · International journal of biological macromolecules · Elsevier · added 2026-04-24
The deer antler is a fully regenerable and the fastest-growing osseous organ. Circular RNA (circRNA), a novel member of the non-coding RNA family, has significant research potential and crucial roles Show more
The deer antler is a fully regenerable and the fastest-growing osseous organ. Circular RNA (circRNA), a novel member of the non-coding RNA family, has significant research potential and crucial roles in biological processes. This study aims to explore the impact and mechanisms of circRNA505 on antler chondrocytes. Functional experiments demonstrated that m5C-modified circRNA505 inhibits antler chondrocyte proliferation, enhances osteogenic differentiation, and facilitates cellular glycolysis. Mechanistically, dual luciferase and AGO2-RIP assays revealed a direct binding relationship between circRNA505, miR-127, and p53. Rescue assays further showed that circRNA505 affects cell proliferation and differentiation through the miR-127/p53 axis. Meanwhile, RNA Antisense Purification (RAP) screening and analysis of related proteins binding to circRNA505 demonstrated that circRNA505 binds to LDHA and increases the level of LDHA phosphorylation through FGFR1 to promote cellular glycolysis by FISH-IF, RIP, and Western blot experiments. Additionally, Me-RIP assays confirmed the m5C methylation modification of circRNA505. NSUN2 mediates the m5C modification of circRNA505, affecting its stability, while the m5C reader ALYREF promotes the nuclear export of circRNA505 in an ALYREF-dependent manner. This study provides new insights into the regulatory mechanisms underlying rapid antler development. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.142527
FGFR1

[Parent-of-origin effects of FGF/FGFR signaling pathway candidate gene polymorphisms on the risk of non-syndromic cleft lip with or without cleft palate].

T J Hou, M Y Wang, H X Peng +7 more · 2025 · Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi · added 2026-04-24
no PDF DOI: 10.3760/cma.j.cn112338-20250509-00304
FGFR1

Effects of the DUSP6 gene on the proliferation and differentiation of porcine subcutaneous preadipocytes.

Xiangxiang Yang, Xiaohan Sun, Zimeng Du +9 more · 2025 · Animal bioscience · added 2026-04-24
Dual-specificity protein phosphatase 6 (DUSP6), also known as mitogenactivated protein kinase phosphatase 3 (MKP-3), was considered as a functional candidate gene for white fat accumulation in mice. H Show more
Dual-specificity protein phosphatase 6 (DUSP6), also known as mitogenactivated protein kinase phosphatase 3 (MKP-3), was considered as a functional candidate gene for white fat accumulation in mice. However, the physiological function of the DUSP6 gene on white adipocyte adipogenesis in farm animals remains unknown. In this study, we aimed to clarify the effect of DUSP6 on porcine subcutaneous preadipocyte proliferation and differentiation. We first make clear that the patterns of DUSP6 expression is associated with fat contents in porcine fat deposition related tissues. Porcine subcutaneous preadipocytes were isolated and induced to differentiation. Small interfering RNAs were applied to deplete DUSP6. MTT assay, CCK-8 analysis, Oil Red O staining, triglyceride determination and reverse transcription quantitative polymerase chain reaction were applied to study the regulatory role of DUSP6 during adipocyte adipogenesis in pigs. We found that the expression levels of DUSP6 were significantly higher in backfat and longissimus dorsi tissues from fat-type pigs than in those from lean-type pigs. Consistently, the significantly induced expression of DUSP6 was also observed in differentiated adipocytes. In addition, knockdown of DUSP6 greatly inhibited preadipocytes proliferation, through the decreased cell viability and downregulated mRNA expressions of cell proliferation-associated genes, including PCNA, CDK1, CDK2. Furthermore, knockdown of DUSP6 significantly inhibited preadipocytes differentiation, as evidenced by markedly reduced lipid droplet formation, attenuated triglyceride accumulation and downregulated expression levels of adipogenic transcription masters (PPARγ, C/EBPβ, FASN and FABP4) in DUSP6 knockdown cells. Our results demonstrate that DUSP6 is required for white adipocyte adipogenesis in pigs. Show less
📄 PDF DOI: 10.5713/ab.25.0175
DUSP6

Single-cell RNA sequencing reveals intrahepatic signature related to pathobiology of duck hepatitis A virus type 3 (DHAV-3) infection.

Yunsheng Zhang, Dingbang Ding, Shaofei Li +8 more · 2025 · Poultry science · Elsevier · added 2026-04-24
DHAV-3 is one of the main causative agents of duck viral hepatitis (DVH), an acute and highly lethal infectious disease in duck industry. However, the understanding of the pathogenesis of this virus i Show more
DHAV-3 is one of the main causative agents of duck viral hepatitis (DVH), an acute and highly lethal infectious disease in duck industry. However, the understanding of the pathogenesis of this virus in ducklings is limited. To dissect the molecular characteristics associated with pathobiology of ducklings to DHAV-3, we applied single-cell RNA-sequencing approach to profile the transcriptome of 1.4 million cells from 14 livers of DHAV-3 susceptible (S) and resistant (R) ducklings during viral infection and 4 uninfected healthy controls. We found that infected S ducks exhibited the activation of type I and II interferon pathways with elevated expression of interferon-stimulated genes (ISGs) compared to infected R ducks and healthy controls. DHAV-3 promoted proinflammatory phenotype and inhibited the cell apoptosis pathway of Kupffer cells of S ducks. Furthermore, we observed the elevated expression of host factor PLAC8 in S ducks and validated its ability to facilitate the infection of DHAV-3. We identified significant dysregulation of various genes in complement and coagulation cascades in hepatocytes2 exclusive to S ducks, together with over-secretion of ANGPTL4 from endothelial cells in S ducks which is confirmed to promote cellular migration, suggesting etiology of coagulopathic complications in ducks with severe DVH. Collectively, this study provides a rich resource for understanding the inflammatory immune signatures and cell communications underlying the pathogenesis of DHAV-3 infection, which may accelerate the development of better diagnostic methods and strategies for controlling this disease. Show less
📄 PDF DOI: 10.1016/j.psj.2025.104798
ANGPTL4

Development of FGF21 Mutant with Potent Cardioprotective Effects in T2D Mice via FGFR1-AMPK-Mediated Inhibition of Oxidative Stress.

Ziying Peng, Ling Gao, Lei Zhang +6 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-24
Diabetic cardiomyopathy (DCM) in type 2 diabetes (T2D) may lead to heart failure and patient death. Fibroblast growth factor 21 (FGF21) is a therapeutic candidate for treating this disease. However, o Show more
Diabetic cardiomyopathy (DCM) in type 2 diabetes (T2D) may lead to heart failure and patient death. Fibroblast growth factor 21 (FGF21) is a therapeutic candidate for treating this disease. However, one impediment to its clinical use is its weak ability to activate downstream signaling pathways. In this study, based on our in-depth understanding of the binding properties of fibroblast growth factor receptor 1c (FGFR1c) with paracrine FGF1 and endocrine FGF21, we engineered a novel FGF21 analog named FGF21 Show less
📄 PDF DOI: 10.3390/ijms26146577
FGFR1

Bidirectional causal associations between plasma metabolites and bipolar disorder.

Qian Zhao, Ancha Baranova, Dongming Liu +2 more · 2025 · Molecular psychiatry · Nature · added 2026-04-24
Altered levels of human plasma metabolites have been implicated in the etiology of bipolar disorder (BD). However, the causality between metabolites and the disease was not well described. We performe Show more
Altered levels of human plasma metabolites have been implicated in the etiology of bipolar disorder (BD). However, the causality between metabolites and the disease was not well described. We performed a bidirectional metabolome-wide Mendelian randomization (MR) analysis to evaluate the potential causal relationships between 871 plasma metabolites and BD. We used DrugBank and ChEMBL to evaluate whether related metabolites are potential therapeutic targets. Finally, Bayesian colocalization analysis was performed to identify shared genomic loci BD and identified metabolites. Our MR results showed that six metabolites were significantly associated with a reduced risk of BD, including arachidonate (20:4n6) (OR: 0.90, 95% CI: 0.84-0.95) and sphingomyelin (d18:2/24:1, d18:1/24:2) (OR: 0.92, 95% CI: 0.87-0.96), while five metabolites were significantly associated with an increased risk of BD, including 1-palmitoyl-2-linoleoyl-GPE (16:0/18:2) (OR: 1.09, 95% CI: 1.05-1.13). However, our reverse MR analysis showed that BD was not associated with the levels of any metabolite. Additionally, the leave-one-out analysis revealed SNPs within chromosome 11 loci harboring MYRF, FADS1, and FADS2 as ones with the potential to influence partial causal effects. Druggability evaluation showed that 10 of the BD-related metabolites, such as sphingomyelin and cytidine, have been targeted by pharmacologic intervention. Colocalization analysis highlighted one colocalized region (chromosome 11q12) shared by 11 metabolites and BD and pointed to some genes as possible players, including FADS1, FADS2, FADS3, and SYT7. Our study supported a causal role of plasma metabolites in the susceptibility to BD, and the identified metabolites may provide a new avenue for the prevention and treatment of BD. Show less
📄 PDF DOI: 10.1038/s41380-025-02977-3
FADS1

Effect of Interactions Between Endothelial Lipase Gene Polymorphisms and Traditional Cardiovascular Risk Factors on Coronary Heart Disease Susceptibility.

Chunhui He, Xingming Song, Ting He +9 more · 2025 · Reviews in cardiovascular medicine · added 2026-04-24
Coronary heart disease (CHD) arises from a complex interplay of genetic and environmental factors. This study examines the influence of This retrospective case-control study enrolled 900 CHD patients Show more
Coronary heart disease (CHD) arises from a complex interplay of genetic and environmental factors. This study examines the influence of This retrospective case-control study enrolled 900 CHD patients and 900 control subjects. We evaluated associations between conventional cardiovascular risk factors and polymorphisms at the No significant differences were observed in the distribution of The Show less
📄 PDF DOI: 10.31083/RCM37356
APOB