👤 Chaobao Zhang

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

Identification of differentially expressed genes associated with tracheal injury recovery in a rabbit model of septic shock.

Pei Zhang, Huaihai Lu, Xuze Li +6 more · 2026 · BMC medical genomics · BioMed Central · added 2026-04-24
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in th Show more
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in the development and recovery of tracheal injury from septic shock. Nine New Zealand white rabbits were randomized to control (CON), septic shock model (SS), and septic shock norepinephrine treatment (SSNE) groups (each group n = 3). The SS and SSNE groups were injected with lipopolysaccharide to induce septic shock. The SSNE group was administered Ringer lactate with norepinephrine to maintain normal blood pressure. All animals underwent cuffed endotracheal intubation for 2 h. The injured tracheal segment was harvested. RNA sequencing was performed to identify the DEGs, followed by bioinformatics analysis, and pathological staining (both HE and Masson) was performed for pathological evaluation. Bioinformatics analysis included principal component analysis (PCA), gene set enrichment analysis (GSEA), and protein-protein interaction (PPI) network construction. Key findings were validated by qRT-PCR and immunohistochemistry. We obtained 124 upregulated and 28 downregulated DEGs in SS vs. CON groups, along with 60 upregulated and 178 downregulated DEGs in SSNE vs. SS groups. The pathological score showed that trachea tissue in the SS group had the highest score. The protein-protein interaction (PPI) prediction identified APOB and CD36 as the hub genes. The molecular experiments further confirmed that at mRNA and protein levels, APOB was significantly upregulated, while CD36 was significantly downregulated. Subsequent qRT-PCR and immunohistochemical analyses confirmed that APOB expression was significantly upregulated while CD36 was downregulated in the septic shock group, a trend partially reversed by norepinephrine treatment. Our study results suggest that APOB and CD36 may be involved in the pathogenesis of tracheal injury recovery in septic shock patients treated with NE. Not applicable. Show less
📄 PDF DOI: 10.1186/s12920-025-02304-3
APOB

Huangqi Guizhi Wuwu decoction promotes neuroprotection and functional recovery after ischemic stroke via activation of the PI3K/Akt/mTOR signaling pathway and modulation of microglial polarization.

Xiaona Pan, Mengqi Zhang, Hui Sun +2 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Huangqi Guizhi Wuwu Decoction (HGWD) is a classic formula recorded in the Jin Gui Yao Lue. It is primarily used to treat symptoms of "blood stasis", such as numbness in the limbs and poor circulation, Show more
Huangqi Guizhi Wuwu Decoction (HGWD) is a classic formula recorded in the Jin Gui Yao Lue. It is primarily used to treat symptoms of "blood stasis", such as numbness in the limbs and poor circulation, and has been widely applied clinically in the treatment of stroke. Its traditional efficacy suggests potential for promoting neurological function recovery and regulating the microenvironment. However, its mechanism in neuroprotection and functional recovery after ischemic stroke (IS) remains unclear. This study aims to elucidate the molecular mechanism by which HGWD exerts neuroprotective effects and promotes neurological recovery following IS by inducing M2 polarization of microglia through activation of the PI3K/Akt/mTOR signaling pathway. The chemical constituents of HGWD were identified using Ultra Performance Liquid Chromatography-Mass Spectrometry (UHPLC-MS). Network pharmacology was employed to predict the active components of HGWD and targets, along with potential signaling pathways. A middle cerebral artery occlusion (MCAO) in vivo model was established using Sprague-Dawley (SD) rats, whilst primary microglia were isolated to construct an oxygen-glucose deprivation/reoxygenation (OGD/R) in vitro model. TTC staining was used to assess the volume of cerebral infarction, and neurological function was evaluated using mNSS and the rotarod test. RT-qPCR, Western blot, immunofluorescence, or flow cytometry were used to detect axonal remodeling, the PI3K/Akt/mTOR signaling pathway, and microglial polarization markers, while ELISA was used to detect inflammatory cytokines. The in vivo dosage of HGWD was 2.5 g/kg i.g. and 5 g/kg i.g., and the in vitro concentrations were 50 μg/mL and 100 μg/mL. Using LY294002 and Rapamycin as PI3K and mTOR inhibitors, we verified that HGWD promotes the recovery of neurological function after IS by activating the PI3K/Akt/mTOR signaling pathway. Network pharmacology revealed that the core components of HGWD overlap with the PI3K/Akt/mTOR signaling pathway and microglial polarization targets. HGWD significantly improved neurological function in MCAO rats, reduced cerebral infarction area, and increased neuronal survival. This formula increased the expression of GAP-43, PSD95, and BDNF, while promoting axonal remodeling and synaptic repair. HGWD inhibited the expression of M1-type markers (CD86, iNOS) and increased the expression of M2-type markers (CD206, ARG1), while ELISA showed a shift of inflammatory cytokines towards anti-inflammatory effects. In microglia, HGWD restored OGD/R-induced cell viability and promoted M2 polarization via the PI3K/Akt/mTOR signaling pathway. Both in vivo and in vitro experiments showed that HGWD significantly increased the phosphorylation levels of PI3K, Akt, and mTOR. LY294002 and rapamycin partially blocked these results, while rescue experiments using the Akt activator SC79 combined with analysis of downstream STAT3 and P65 further illustrate that this process is Akt pathway dependent. The results suggest that HGWD can exert a neuroprotective effect by activating the PI3K/Akt/mTOR signaling pathway, thereby promoting neurological function recovery. HGWD may activate the PI3K/Akt/mTOR signaling pathway, drive microglia to M2 polarization, regulate neuroinflammation, and promote neuroplasticity, thereby achieving neuroprotection and functional recovery after IS. Show less
no PDF DOI: 10.1016/j.jep.2026.121563
BDNF functional recovery ischemic stroke microglial polarization neuroprotection pi3k/akt/mtor signaling pathway stroke

Cell surface nucleolin promotes endothelial cell pyroptosis in atherosclerosis through RASSF2.

Li Fang, Zhijie Shen, Dan Huang +4 more · 2026 · Atherosclerosis · Elsevier · added 2026-04-24
Increasing evidence indicates that modulating pyroptosis in endothelial cells (ECs) can alleviate atherosclerosis (AS) progression; however, despite reports that nucleolin (NCL) regulates vascular smo Show more
Increasing evidence indicates that modulating pyroptosis in endothelial cells (ECs) can alleviate atherosclerosis (AS) progression; however, despite reports that nucleolin (NCL) regulates vascular smooth muscle cell proliferation in AS, the potential mechanism by which cell surface NCL mediates pyroptosis in ECs during AS remains poorly understood. AS was induced in ApoE AS model mice developed severe aortic lesions accompanied by pronounced EC pyroptosis and inflammation, together with elevated NCL expression in ECs of the aortic root. Both inhibition of NLRP3 and NCL knockdown alleviated atherosclerotic lesion severity in ApoE This study demonstrates that, in AS, NCL exacerbates EC pyroptosis and promotes disease progression by facilitating nuclear transport of RASSF2. This study defines the mechanistic roles of NCL in AS, thereby identifying a new molecular pathway and suggesting potential therapeutic targets. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2026.120715
APOE

Dual Roles of MAPK-Mediated C/EBPβ Phosphorylation in Promoting Maturation and Suppressing EMT During Hepatocyte Differentiation from hESCs.

Shoupei Liu, Xiangting Cao, Haibin Wu +7 more · 2026 · Stem cells (Dayton, Ohio) · Oxford University Press · added 2026-04-24
Human embryonic stem cell (hESC)-derived hepatocytes (hEHs) display functional deficits, particularly impaired albumin secretion and ammonia metabolism, compared to primary human hepatocytes (PHHs). H Show more
Human embryonic stem cell (hESC)-derived hepatocytes (hEHs) display functional deficits, particularly impaired albumin secretion and ammonia metabolism, compared to primary human hepatocytes (PHHs). Here, we investigated the regulatory role of CCAAT/enhancer-binding protein beta (C/EBPβ) in hepatocyte maturation. Forced C/EBPβ expression enhanced hepatocyte functionality and upregulated hepatocyte-specific genes, while suppressing epithelial-mesenchymal transition (EMT) via downregulating canonical EMT markers. Mechanistically, CUT&Tag and luciferase reporter assays confirmed C/EBPβ directly binds to the promoter regions of CDH1 (E-cadherin) and CPS1 (carbamoyl phosphate synthetase 1). Co-immunoprecipitation identified an interaction between C/EBPβ and the MAPK pathway. RNA interference combined with Western blot analysis revealed that MAPK1-mediated phosphorylation of C/EBPβ at Thr-235 augmented its transactivation activity, accelerating hepatocyte maturation. Our findings establish C/EBPβ as a master regulator that coordinates transcriptional networks and post-translational modifications during hEHs maturation, providing novel insights for generating mature hepatocytes for disease modeling and regenerative medicine applications. The transcriptional activity of C/EBPβ is regulated by MAPK1 protein within the ERK/MAPK signaling pathway. MAPK1 moves from the cytoplasm into the nucleus and transfers phosphate groups to C/EBPβ. This process reverses the "self-inhibition" state of C/EBPβ and enhances its transcriptional activity on downstream target genes. Show less
no PDF DOI: 10.1093/stmcls/sxag016
CPS1

Dynamic evaluation of blood marker changes induced by acute binge drinking in healthy individuals: a randomized controlled trial.

Jiaomei Li, Kaixin Pan, Yuxuan Zhang +8 more · 2026 · Scientific reports · Nature · added 2026-04-24
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial Show more
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials. The online version contains supplementary material available at 10.1038/s41598-026-40028-1. Show less
📄 PDF DOI: 10.1038/s41598-026-40028-1
APOB

The study on serum oxidized low-density lipoprotein and homocysteine as cardiovascular risk markers in subclinical hypothyroidism patients.

Qian Wang, Xiaonyun Zhang, Fan Wu +1 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Hypothyroidism, the most prevalent endocrine disorder globally, is associated with increased cardiovascular risk. This study aims to evaluate cardiovascular risk factors-including serum oxidized low-d Show more
Hypothyroidism, the most prevalent endocrine disorder globally, is associated with increased cardiovascular risk. This study aims to evaluate cardiovascular risk factors-including serum oxidized low-density lipoprotein (ox-LDL), serum homocysteine (Hcy), and lipid profiles-and their correlations with thyroid-stimulating hormone (TSH) levels. Early identification of these risk predictors may reduce the incidence and mortality of cardiovascular disease in hypothyroid patients. This cross-sectional study included 676 participants. Subjects were stratified into four groups: three corresponding to TSH quartiles within the reference range and a fourth comprising subclinical hypothyroidism (SCH) patients with TSH levels above this range. All participants underwent physical examinations and provided fasting blood samples for measurement of TSH, free thyroxine (FT4), free triiodothyronine (FT3), blood glucose, triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), lipoprotein(a) [Lp(a)], ox-LDL, and Hcy. Across the four subgroups, LDL-C, ApoB, ox-LDL, and Hcy levels exhibited significant increasing trends (all The observed correlations between ox-LDL, Hcy, and dyslipidemia in subclinical hypothyroidism may indicate a proatherogenic state. Elevated ox-LDL and Hcy emerge as independent factors associated with accelerated atherosclerosis in this condition. Show less
📄 PDF DOI: 10.3389/fendo.2026.1750486
APOB

Phase 1 dose-escalation trial of sub-endometrial injection of human embryonic stem cells-derived immunity-and-matrix-regulatory cells to promote endometrial angiogenesis in refractory intrauterine adhesion.

Qiang Li, Zhiqi Liao, Xinyao Hu +26 more · 2026 · Molecular therapy : the journal of the American Society of Gene Therapy · Elsevier · added 2026-04-24
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In Show more
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In this study, we investigated the therapeutic potential of clinical-grade human embryonic stem cell-derived immunity-and-matrix-regulatory cells (IMRCs) for treating refractory moderate-to-severe intrauterine adhesion (IUA). In a rabbit IUA model, sub-endometrial injection of IMRCs significantly reduced fibrosis and enhanced endometrial angiogenesis, outperforming uterine perfusion. Transcriptomic analysis revealed distinct pro-angiogenic gene expression profiles between the two delivery routes. In vitro, IMRCs co-cultured with endometrial stromal cells (ESCs) markedly enhanced angiogenic potential compared to either cell type alone. Protein array analysis of the co-culture supernatant showed elevated levels of angiogenic factors, with functional assays confirming that inhibition of ANGPTL4, a non-canonical pro-angiogenic mediator, impaired angiogenesis. In a first-in-human, single-center, phase 1 dose-escalation trial involving 18 patients with refractory IUA, high-dose sub-endometrial IMRC injection promoted angiogenesis, reduced uterine scarring, and improved pregnancy outcomes, with no safety concerns observed over 3 years of follow-up. These findings highlight the translational promise of IMRCs as a novel therapeutic strategy for endometrial regeneration in severe IUA. Show less
📄 PDF DOI: 10.1016/j.ymthe.2025.09.035
ANGPTL4

Expression of BDNF-TrkB-AKT1 pathway components and apoptosis-related factors across yak brain regions at low and high altitudes.

Qian ZHANG, Yan Cui, Junfeng He +3 more · 2026 · Folia histochemica et cytobiologica · added 2026-04-24
This study investigated the expression of brain-derived neurotrophic factor (BDNF) signaling components (BDNF-TrkB-AKT1) and apoptosis-related factors (Bcl-2 and Bax) in yak brain regions at different Show more
This study investigated the expression of brain-derived neurotrophic factor (BDNF) signaling components (BDNF-TrkB-AKT1) and apoptosis-related factors (Bcl-2 and Bax) in yak brain regions at different altitudes. The cerebral cortex, cerebellum, hippocampus, thalamus, and medulla oblongata were collected from 3-year-old yaks living at low and high altitudes. The relative mRNA expression of BDNF, TrkB, AKT1, Bcl-2, and Bax was assessed by qRT-PCR. Protein abundance and cellular localization of BDNF, TrkB, AKT1, Bcl-2, and Bax were evaluated by Western blotting and immunohistochemistry, with immunoreactivity quantified by optical density analysis. Within each altitude group, BDNF, TrkB, AKT1, and Bcl-2 mRNA expression and the corresponding protein levels (BDNF, TrkB, AKT1, and Bcl-2) were significantly higher in the cerebral cortex and hippocampus than in the cerebellum, thalamus, and medulla oblongata (P < 0.05). In contrast, Bax mRNA and Bax protein levels did not differ significantly among the five regions. Compared with low-altitude yaks, high-altitude yaks showed significantly higher BDNF, TrkB, AKT1, and Bcl-2 mRNA expression and higher BDNF, TrkB, AKT1, and Bcl-2 protein levels in brain tissues (P < 0.05), whereas Bax protein expression did not differ between altitude groups. Immunohistochemistry revealed immunoreactivity for BDNF, TrkB, AKT1, Bcl-2, and Bax in both altitude groups, with prominent labeling in cortical pyramidal neurons and across the pyramidal cell layer in the hippocampal CA region. Immunoreactivity was also detected in large neurons of the thalamus and medulla oblongata. In the cerebellum, labeling was strongest in Purkinje cells, with weaker signals in the granule cell layer and molecular layer. BDNF-TrkB-AKT1 pathway components and Bcl-2 showed relatively higher expression in the cerebral cortex and hippocampus within each altitude group, whereas Bax expression did not vary across regions. These patterns are consistent with an association between BDNF-TrkB-AKT1 signaling and increased Bcl-2 expression without a corresponding increase in Bax, which may support neuronal adaptation in the cerebral cortex and hippocampus. Elevated expression of BDNF, TrkB, AKT1, and Bcl-2 at high altitude suggests enhanced adaptation to hypoxia in high-altitude yaks; the underlying mechanisms require further investigation. Show less
📄 PDF DOI: 10.5603/fhc.110409
BDNF akt1 apoptosis bax bcl-2 bdnf brain-derived neurotrophic factor trkb

A case of late-onset carbamoyl phosphate synthetase 1 deficiency: diagnostic challenges and management in a low-resource setting.

Xiaopu Cui, Sixian Guo, Yu Zhang +5 more · 2026 · Clinical biochemistry · Elsevier · added 2026-04-24
This study aimed to analyze the clinical features, genetic basis, and management of late-onset carbamoyl phosphate synthetase 1 deficiency (CPS1D) through a pediatric case report and literature review Show more
This study aimed to analyze the clinical features, genetic basis, and management of late-onset carbamoyl phosphate synthetase 1 deficiency (CPS1D) through a pediatric case report and literature review, highlighting diagnostic challenges and therapeutic strategies. We present a 19-year-old female with recurrent neurological symptoms since age 8. She underwent comprehensive metabolic screening, neuroimaging, and whole-exome sequencing of theCPS1gene. Identified variants were assessed for pathogenicity using multiple orthogonalin silicoprediction tools. The patient's initial hyperammonemic crisis at age 8 was misdiagnosed as encephalitis. Workup at age 13 confirmed hyperammonemia (peak 168 µmol/L), hypocitrullinemia, and elevated glutamine. Genetic analysis identified compound heterozygousCPS1variants: a novel c.1058 T > C (p.F353S) and known pathogenic c.1145C > T (p.P382L). A self-selected low-protein diet controlled acute crises but led to severe growth failure (height 145 cm, weight 30 kg). Late-onset CPS1D's nonspecific neurological symptoms often lead to misdiagnosis. Diagnosis requires a high index of suspicion, integrating metabolic profiling with genetic confirmation. This case expands the pathogenic genotypic spectrum of CPS1D. It crucially highlights that while dietary management is life-saving, it requires expert multidisciplinary oversight to prevent devastating consequences like growth failure, especially in resource-limited settings. Routine ammonia testing in unexplained encephalopathy is paramount. Show less
no PDF DOI: 10.1016/j.clinbiochem.2025.111041
CPS1

GraphBAN-based identification of active ingredients and key gene targets in compound Chinese herbal medicines for polycystic ovary syndrome.

Shiyang Wei, Ting Qin, Ying Li +4 more · 2026 · Naunyn-Schmiedeberg's archives of pharmacology · Springer · added 2026-04-24
While active ingredients from compound Chinese herbal medicines (CCHMs) have demonstrated potential in alleviating symptoms of polycystic ovary syndrome (PCOS), their mechanisms of action remain insuf Show more
While active ingredients from compound Chinese herbal medicines (CCHMs) have demonstrated potential in alleviating symptoms of polycystic ovary syndrome (PCOS), their mechanisms of action remain insufficiently understood. This study aimed to identify key active ingredients and gene targets in Xiaochaihu Decoction, Sijunzi Decoction, and Shensiwei that contribute to their efficacy against PCOS. Transcriptomic data of PCOS were obtained from public databases. Information on gut microbiota metabolite-related targets and active ingredients of CCHMs was retrieved from relevant databases. Key gene targets and active ingredients were identified using Graph-based Bioactive Network Analysis (GraphBAN) and toxicological assessments. Molecular docking and dynamic simulations were conducted to validate interactions. Functional enrichment and regulatory network analysis were performed. LCT, FADS1, and CYP11A1 were identified as key genes associated with α-β T cell activation, immune receptor signaling, and adaptive immune responses. LCT and FADS1 were targeted by linolenic acid, while CYP11A1 was regulated by mandenol, EIC, and linolenic acid. Three microRNAs (hsa-miR-320a-3p, hsa-miR-4487, hsa-miR-6090) co-regulated these genes. Molecular docking and dynamics simulations confirmed stable binding between key genes and active ingredients, with binding energies < -5.0 kcal/mol. The findings indicate that CCHMs exert therapeutic effects on PCOS by multi-target regulation of key genes involved in androgen synthesis, metabolic regulation, and immune-inflammatory activation. The observed strong binding affinities provide a structural basis for these interactions. This study identified three key genes and three core active ingredients in CCHMs for PCOS treatment, laying a theoretical foundation for developing multi-target therapeutics. Show less
📄 PDF DOI: 10.1007/s00210-025-04970-7
FADS1

Epigenetic mechanisms and therapeutic innovations in chronic pain-associated neuropsychiatric co-morbidities.

Kai Zhang, Sijia Zhu, Na Xing +16 more · 2026 · British journal of pharmacology · Blackwell Publishing · added 2026-04-24
Chronic pain, marked by nociceptive sensitization and maladaptive neuroplasticity, affects 30% of the global population with escalating socioeconomic burdens. Epidemiological data show a 2-3-fold incr Show more
Chronic pain, marked by nociceptive sensitization and maladaptive neuroplasticity, affects 30% of the global population with escalating socioeconomic burdens. Epidemiological data show a 2-3-fold increase in neuropsychiatric co-morbidities among individuals with chronic pain, where epigenetic dysregulation serves as a key mechanism linking ongoing pain to emotional disorders. This review systematically explores epigenetic signatures in supraspinal integration hubs, notably the limbic-paralimbic networks and prefrontal regulatory circuits. The identified epigenetic signatures encompass dysregulation of DNA methyltransferases (DNMTs), RNA modifications, histone post-translational modifications and locus-specific alterations, including aberrant methylation at the brain-derived neurotrophic factor (BDNF), opioid μ receptor and transient receptor potential ankyrin 1 (TRPA1) gene loci. Additionally, they involve dysfunction of the glucocorticoid receptor (GR)/corticotropin-releasing factor (CRF) axis via epigenetic modulation. Building on these findings, we evaluate therapeutic strategies addressing epigenetic dysregulation. While preclinical data demonstrate the efficacy of histone deacetylase (HDAC) and DNMT inhibitors, clinical translation faces significant barriers, including limited blood-brain barrier permeability. Notably, our analysis highlights the benefits of combining pharmacological interventions with non-invasive neuromodulation for enhanced co-morbidity management. Looking forward, this review proposes innovative approaches that leverage CRISPR-based chromatin editing platforms, biomimetic nanocarriers for neuron-specific delivery and closed-loop neuromodulation integrating real-time biomarker feedback, collectively establishing a precision medicine framework for pain or neuropsychiatric co-morbidities. Show less
no PDF DOI: 10.1111/bph.70302
BDNF chronic pain epigenetic dysregulation epigenetic mechanisms maladaptive neuroplasticity neuroplasticity neuropsychiatric nociceptive sensitization

Exploration of the mechanism of anlotinib in reversing PD-1 immunotherapy resistance: insights from single-cell sequencing.

Wanjin Shi, Yidong Zhang, Qiyi Yu +6 more · 2026 · Cancer gene therapy · Nature · added 2026-04-24
Immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 axis have revolutionized cancer therapy, yet primary and acquired resistance remain major clinical obstacles. Dysregulated angiogenesis fue Show more
Immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 axis have revolutionized cancer therapy, yet primary and acquired resistance remain major clinical obstacles. Dysregulated angiogenesis fuels the development of an immunosuppressive tumor microenvironment, while crosstalk between immunity and angiogenesis further propels tumor immune evasion and treatment resistance. The present study aimed to establish a penpulimab-resistant model, delineate anti-PD-1 resistance traits via single-cell RNA sequencing, and unravel the precise mechanisms through which anlotinib-an anti-angiogenic agent-mitigates penpulimab resistance. These findings offer insights to guide clinical management of immune-pretreated patients. Single-cell sequencing analyses demonstrated that anlotinib reverses penpulimab resistance by reprogramming the tumor immune microenvironment, thereby boosting PD-1 blockade efficacy via modulation of immune infiltration and tumor signaling pathways. Identifying Apoe⁺ M2 macrophages, Srgn⁺ M1 macrophages, and Cxcl2⁺ T cells provides key cellular and molecular targets for developing clinically actionable immunotherapies. Taken together, this work validates the preclinical potential of anlotinib combined with immunotherapy for immunotherapy-resistant tumors. Show less
📄 PDF DOI: 10.1038/s41417-026-01000-3
APOE

Lysophosphatidic acid-induced Arf6-driven macropinocytosis of CD147

Luomeng Qian, Zhiguang Fu, Ping Chen +11 more · 2026 · International journal of biological sciences · added 2026-04-24
📄 PDF DOI: 10.7150/ijbs.125483
LPA

Suppression of dual-specificity phosphatase 6 protects against liver fibrosis via targeting CYP2E1-mediated ferroptosis.

Can Jiang, Xiaoli Tang, Ziyang Xu +5 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and exp Show more
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and explore the underlying mechanism. Using a CCL4-induced mouse model, the consistent upregulation of DUSP6 expression was observed. Notably, when Dusp6 was knocked down, liver fibrosis showed significant improvement, revealing a protective effect intricately linked to the ERK pathway. This was accompanied by an increase in ferroptosis-related proteins SLC7A11 and GPX4, underscoring the role of ferroptosis, an iron-dependent form of regulated cell death, in this process. Transcriptomic analysis further revealed a crucial downregulation of Cyp2e1 following Dusp6 knockdown. In vitro, DUSP6 knockdown not only promoted ERK phosphorylation but also suppressed CYP2E1 expression, enhancing cell proliferation, bolstering hepatocyte resistance to ferroptosis, and alleviating hepatocyte injury. Importantly, inhibiting CYP2E1 in mouse models of liver fibrosis effectively slowed the progression. These findings illuminate a critical regulatory mechanism that DUSP6 regulates liver fibrosis via targeting ferroptosis, offering new a direction for therapeutic strategies in liver disease. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.149856
DUSP6

A study on the correlation between APOE gene polymorphism, white matter hyperintensities, and neuropsychiatric symptom phenotypes in Alzheimer's disease.

Wei Fan, Ziqi Wang, Shu Wan +7 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
This study investigates the independent and interactive effects of apolipoprotein E (APOE) genotypes and white matter hyperintensities (WMH) on distinct neuropsychiatric symptom (NPS) phenotypes in pa Show more
This study investigates the independent and interactive effects of apolipoprotein E (APOE) genotypes and white matter hyperintensities (WMH) on distinct neuropsychiatric symptom (NPS) phenotypes in patients with Alzheimer's disease (AD). We enrolled 325 AD patients consecutively diagnosed at a specialized memory clinic between May 2024 and May 2025. All participants underwent comprehensive clinical assessments-including the Chinese Mini-Mental State Examination (CMMSE), Activities of Daily Living (ADL) scale, and the Neuropsychiatric Inventory (NPI)-as well as 3T brain MRI for WMH quantification and APOE genotyping. First, we compared NPS profiles and cognitive/functional scores across APOE genotype groups (ϵ2/ϵ2-ϵ2/ϵ3, ϵ3/ϵ3, ϵ3/ϵ4, ϵ4/ϵ4) using analysis of variance (ANOVA) or Kruskal-Wallis tests, as appropriate. Second, we applied mediation analysis (PROCESS macro Model 4, 5,000 bootstrap samples) to examine whether WMH burden mediates the association between APOE genotype (X) and outcomes including CMMSE total score and domain-specific NPS subscores (delusions, agitation, irritability, euphoria). Significant differences emerged across APOE genotypes in both cognition (CMMSE, p < 0.05) and functional status (ADL, p < 0.05). At the symptom level, carriers of at least one ϵ4 allele exhibited higher agitation scores than non-carriers (p < 0.05); notably, the ϵ4/ϵ4 homozygotes showed significantly greater severity in delusions, agitation, irritability, and euphoria compared with all other genotype groups (all p < 0.05). Mediation analyses revealed no statistically significant indirect effect of APOE genotype on any outcome via WMH, indicating that WMH does not mediate these associations. Instead, APOE genotype exerted robust direct effects on both cognitive performance and specific NPS domains. APOE genotype-particularly the ϵ4/ϵ4 homozygous status-is associated with more pronounced cognitive decline and a distinct, severe NPS profile in AD, especially involving delusions, agitation, Euphoria, and irritability. These associations are independent of WMH burden, suggesting that APOE exerts direct neurobiological effects on neuropsychiatric manifestations. Thus, APOE genotyping holds dual clinical value: not only as a well-established biomarker for AD risk and diagnosis but also as a potential prognostic indicator for behavioral and psychological symptoms-offering actionable insights beyond conventional neuroimaging markers. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1795598
APOE

Integrated multi-Omics and network toxicology elucidate the multi-target mechanisms of environmental hormones in driving hepatocellular carcinoma.

Rong Huang, Jinyue Ma, Jiaxin Yao +8 more · 2026 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
Hepatocellular carcinoma (HCC) is a major malignancy with rising global incidence and mortality. Clinical treatment is limited by molecular heterogeneity and drug resistance. In recent years, endocrin Show more
Hepatocellular carcinoma (HCC) is a major malignancy with rising global incidence and mortality. Clinical treatment is limited by molecular heterogeneity and drug resistance. In recent years, endocrine-disrupting chemicals (EDCs) have attracted attention as emerging risk factors, but systematic pathogenic evidence for their roles in HCC initiation and progression remains insufficient. First, we predicted potential targets of EDCs using SwissTargetPrediction, STITCH, and ChEMBL, and intersected them with differentially expressed genes and key module genes from WGCNA in the GEO database to screen candidate key genes. Second, based on these candidates, we constructed diagnostic models using 14 machine-learning algorithms and evaluated feature importance via the SHAP framework to identify key biomarkers and their functional contributions. Molecular docking and molecular dynamics simulations were used to validate interaction mechanisms between EDCs and key target proteins. We then built a multivariable Cox proportional hazards model in the TCGA-LIHC cohort and performed stratified survival analysis, somatic mutation profiling, and immune evasion characterization. Subsequently, we evaluated the tumor immune microenvironment using CIBERSORT and ssGSEA, and integrated single-cell transcriptomic data to resolve cell-subtype heterogeneity, target expression distributions, and cell-cell communication. Meanwhile, we integrated the GDSC drug-sensitivity database to evaluate associations between risk scores and drug response, and conducted pan-cancer analyses to examine cross-cancer applicability. We identified 18 genes jointly associated with EDCs and HCC, significantly enriched in AMPK, p53, and FoxO signaling pathways and cell cycle-related pathways. Among models built with 14 machine-learning algorithms, CatBoost showed the best discriminative performance and identified CCNB2 and AKR1C3 as core driver genes. Docking and dynamics simulations indicated strong binding affinities and stable binding conformations between EDCs and target proteins including CCNB1 (-8.9 kcal/mol), AKR1C3 (-8.4 kcal/mol), and FADS1 (-8.5 kcal/mol). A multivariable Cox risk model based on nine key genes served as an independent prognostic predictor for HCC (HR = 1.746, 95% CI: 1.477-2.064, P < 0.001). The nomogram achieved AUCs of 0.836, 0.810, and 0.788 at 1, 3, and 5 years, respectively, indicating good predictive performance. The high-risk group was significantly associated with high tumor mutational burden (TMB), TP53 mutations, and low immune evasion scores. Regarding the tumor immune microenvironment, CIBERSORT and ssGSEA analyses showed marked enrichment of Tregs and M0 macrophages, while most effector immune cells and functions were suppressed. Single-cell transcriptomics further showed enrichment of endothelial cells, fibroblasts, hepatocytes, and macrophages in HCC tissues, with notable reductions in T cells, B cells, NK cells, and neutrophils, indicating an immunosuppressive microenvironment with stromal remodeling. Cell-cell communication analysis indicated that the MIF-CD74 receptor axis is central in immune-cell interactions. Drug-sensitivity analysis suggested that the high-risk group was more sensitive to GDC0810, BPD-00008900, and Fulvestrant, indicating potential beneficiary populations. Pan-cancer analysis showed that the risk model also had diagnostic and prognostic value in LUAD, KIRP, KIRC, and KICH, suggesting cross-cancer generalizability. This study systematically reveals that EDCs promote HCC initiation and progression by perturbing cell cycle, metabolic, and immune homeostasis through multi-target, multi-pathway mechanisms. The nine-gene risk model demonstrates superior performance in HCC diagnosis and prognosis and shows potential clinical translational value in drug-sensitivity prediction and pan-cancer analyses. This work provides a new perspective at the intersection of environmental toxicology and precision oncology and informs individualized therapeutic strategies. Show less
no PDF DOI: 10.1016/j.ecoenv.2025.119519
FADS1

Methamphetamine regulates microglial polarization and glycolytic activity to promote Parkinson's disease through the LIPH/LPA/PI3K/AKT signaling axis.

Yanghong Zou, Chunhai Zhang, Hui Bian +5 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progre Show more
The abuse of methamphetamine (METH) is associated with an increased risk of Parkinson's disease (PD), whereas microglial polarization and glucose metabolism disorders are closely related to the progression of PD. This study aimed to investigate the specific molecular mechanism underlying the promotion of PD progression by METH through the regulation of microglial polarization and glycolysis. METH-induced C57BL/6 mice and BV2 cells were used to construct PD-like neurotoxicity animal and cell models for experimental investigation. Behavioral tests, immunohistochemistry and Nissl staining were used to assess the behavioral ability and neuronal damage of the animals. The levels of related proteins, inflammatory cytokines and glycolysis were detected using immunofluorescence, ELISA, Western blotting, and CCK-8 assays. METH treatment significantly promoted behavioral disorders in PD mice, reduced the number of TH-positive neurons, and aggravated neuronal damage in the substantia nigra (SN). In addition, METH decreased the M2 marker proteins Arg-1 and CD206 and increased the M1 marker proteins iNOS and CD86; the proinflammatory cytokines TNF-α, IL-β, and IL-6; and glucose uptake, glucose consumption and lactic acid production, thus promoting M1 polarization and glycolytic activity in BV2 cells. In terms of the underlying molecular mechanism, METH treatment significantly increased the level of LPA. METH promotes LPA expression via upregulation of LIPH expression, and activates the PI3K/AKT pathway. Knockdown of LIPH or treatment with BrP-LPA reduces the ability of METH to promote M1 microglial polarization and glycolytic activity. Furthermore, the addition of the PI3K/AKT signaling pathway activator 740 YP weakened the inhibitory effect of BrP-LPA on the above process. METH may promote M1 polarization and glycolytic activity in microglia by activating LIPH/LPA/PI3K/AKT signaling, thus promoting the progression of PD. Show less
no PDF DOI: 10.1016/j.intimp.2026.116306
LPA

Molecular characterization of humanized APOE mouse models reveals source and genotype dependent differences.

Na Wang, Gefei Yu, Zhen Wang +21 more · 2026 · Molecular neurodegeneration · BioMed Central · added 2026-04-24
no PDF DOI: 10.1186/s13024-026-00940-6
APOE

Stevia rebaudiana Bertoni root polysaccharide ameliorate high-fat-diet-induced atherosclerosis in ApoE-knock out mice: potential role of inflammation regulation.

Chunyan Liu, Guangdong Hu, Haoyu Zhang +5 more · 2026 · Natural product research · Taylor & Francis · added 2026-04-24
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term tre Show more
Atherosclerosis (AS) is a prevalent typical chronic inflammation disease characterised by lipid deposition, immune cell infiltration and inflammatory response in the arterial intima. The long-term treatments of the existing drugs suffered safety concerns. Show less
no PDF DOI: 10.1080/14786419.2026.2613756
APOE

IRF6 induces endothelial dysfunction through the transcriptional activation of NDRG1 and aggravates low shear stress-mediated atherosclerosis.

Yong Chen, Yanchao Zhang, Shen Rui +3 more · 2026 · iScience · Elsevier · added 2026-04-24
Atherosclerosis (AS), a chronic inflammatory disorder initiated by vascular endothelial dysfunction (ED), is prominently triggered by hemodynamic low-shear stress (LSS). Interferon regulatory factor 6 Show more
Atherosclerosis (AS), a chronic inflammatory disorder initiated by vascular endothelial dysfunction (ED), is prominently triggered by hemodynamic low-shear stress (LSS). Interferon regulatory factor 6 (IRF6) is a transcription factor that regulates the inflammatory response following injury. In this work, the LSS-induced AS model was induced by the partial ligation of the left carotid artery in high-fat diet-fed ApoE Show less
📄 PDF DOI: 10.1016/j.isci.2026.115127
APOE

Revealing key genes and molecular mechanisms associated with dietary restriction in ulcerative colitis.

Yingying Li, Min Xu, Wen Li +3 more · 2026 · Frontiers in molecular biosciences · Frontiers · added 2026-04-24
Ulcerative colitis (UC) is characterized by chronic colonic mucosal inflammation, with its pathogenesis involving multidimensional interactions and limitations in clinical treatment. Dietary restricti Show more
Ulcerative colitis (UC) is characterized by chronic colonic mucosal inflammation, with its pathogenesis involving multidimensional interactions and limitations in clinical treatment. Dietary restriction (DR) is a commonly used approach for UC patients to alleviate symptoms, and exploring the role of DR-related genes in UC could provide new directions for the development of precision therapies. Bioinformatics analysis was performed on UC-related datasets (GSE75214, GSE73661) obtained from the GEO database. Candidate genes were acquired by intersecting differentially expressed genes (DEGs) with dietary restriction-related genes (DRRGs). Subsequently, key genes were identified via machine learning algorithms and ROC curve analysis. A deep neural network (DNN) model and a diagnostic nomogram were constructed. In addition, gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), immune infiltration analysis, and single-cell RNA sequencing (scRNA-seq) analysis were conducted. Finally, the expression of key genes was validated through experiments. CPT1A, ANGPTL4, and CLDN1 were identified as the key genes. The deep neural network (DNN) model achieved area under the curve (AUC) values of 0.914 and 0.933 in the two datasets, respectively; the diagnostic nomogram exhibited high predictive performance (AUC > 0.7), and decision curve analysis (DCA) revealed its potential clinical net benefit. Enrichment analyses demonstrated that the key genes were significantly enriched in dietary restriction (DR)-related pathways, including cytokine-receptor interaction, the IL2-STAT5 signaling pathway, and fatty acid metabolism. Thirty-two activated pathways and five inhibited pathways were detected in UC patients (e.g., the oxidative phosphorylation pathway was suppressed). Immune infiltration analysis identified 27 differentially infiltrating immune cell types. CLDN1 was localized to epithelial cells, ANGPTL4 to fibroblasts, and CPT1A to endothelial cells. Macrophages were identified as a signaling hub in UC, showing intensified crosstalk with stromal and vascular cells via pathways such as ACKR1. Experimental validation confirmed that ANGPTL4 and CLDN1 were highly expressed in UC, whereas CPT1A was lowly expressed, a pattern consistent with the expression trends observed in public database analyses. These results indicated that CPT1A, ANGPTL4, and CLDN1 are involved in the pathological regulation of UC by DR through modulating the metabolism-immune-barrier axis, providing novel biomarkers and potential intervention targets for the clinical diagnosis and targeted therapy of UC. Show less
📄 PDF DOI: 10.3389/fmolb.2026.1786138
ANGPTL4

Fear of progression and association factors in stroke patients: a latent profile analysis.

Yunyun Liu, Xiangrui Li, Ting Zhao +9 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile an Show more
Fear of progression (FoP) is a prevalent psychological issue among stroke patients. Previous studies failing to distinguish characteristics of patient groups with varying FoP levels. Latent profile analysis (LPA) classifies individuals into distinct subgroups via continuous FoP indicators, boosting classification accuracy by accounting for variable uncertainty. Given FoP's heterogeneity, investigating FoP profiles and their influencing factors in stroke patients is clinically significant for personalized psychological care and improved patient quality of life. A total of 366 stroke patients were selected as study subjects through convenience sampling, and a cross-sectional survey was conducted. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF, 2 dimensions, 12 items). Independent variables included demographic characteristics, clinical indicators, the Recurrence Risk Perception Scale for Stroke patients (RRPSS), and the Medical Coping Modes Questionnaire (MCMQ). LPA was performed on the FoP-Q-SF items to identify subgroups. The R3STEP method was used to analyze influencing factors of subgroup membership, and the BCH method was applied to compare differences in distal outcomes across subgroups. Statistical significance was set at The study sample had a mean age of 63.93 ± 10.58 years, with 70.5% males and 65.0% first-ever stroke patients. Two latent profiles were identified: Low-FoP Adaptive Type (C1, 48.6%) and High-FoP Sustained Type (C2, 51.4%). The R3STEP showed that age 18-59 years (OR = 0.476, 95%CI = 0.245-0.924, This study revealed significant heterogeneity in FoP among stroke patients. Age, hypertension comorbidity, excessive recurrence risk perception, MCMQ-confrontation, and MCMQ-avoidance were associated with high FoP. Healthcare providers should prioritize identifying high-risk individuals and develop tailored interventions to reduce FoP and improve rehabilitation outcomes. Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1741344
LPA

Unmasking the "Mixed-Dysregulated" phenotype: latent profiles of affective temperaments and non-suicidal self-injury in adolescents with depression.

Shaowei Liu, Bin Ma, Yanju Liu +3 more · 2026 · BMC psychiatry · BioMed Central · added 2026-04-24
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-ce Show more
Non-suicidal self-injury (NSSI) is highly prevalent among adolescents with depression, yet the heterogeneity of underlying temperamental risk factors remains poorly understood. Traditional variable-centered approaches fail to capture how distinct affective temperaments co-occur within individuals. This study aimed to identify latent profiles of affective temperaments and examine their association with NSSI, exploring the statistical mediating role of cognitive emotion regulation (CER). A cross-sectional study was conducted from February 2025 to September 2025 at the First Hospital of Hebei Medical University. A total of 290 adolescents (aged 10–19) diagnosed with Major Depressive Disorder were recruited, with 282 valid responses included in the final analysis. Participants completed the TEMPS-A, CERQ, and ASHS. Latent Profile Analysis (LPA) was utilized to identify temperament subgroups. Mediation analysis with bootstrapping was performed to test the indirect effects of CER strategies. LPA identified three distinct profiles: Resilient/Low-risk (Class 1, 32.6%), Anxious-Depressive (Class 2, 46.1%), and Mixed-Dysregulated (Class 3, 21.3%). The Mixed-Dysregulated group, characterized by simultaneous elevations in depressive, anxious, irritable, and cyclothymic temperaments, exhibited the highest frequency (45.2 ± 21.3 times/year) and prevalence (98.8%) of NSSI compared to other groups ( The findings delineate a specific “Mixed-Dysregulated” risk phenotype within adolescent depression that is associated with severe NSSI. Interventions should move beyond standard depression care to target cognitive flexibility and emotional regulation skills. Statistical mediation analysis suggests that this risk is mediated by maladaptive cognitive emotion regulation strategies. Not applicable. Show less
📄 PDF DOI: 10.1186/s12888-026-07910-8
LPA

Endothelial versus global METRNL reveals importance of endothelial METRNL against atherosclerosis via mitochondrial homeostasis.

Dao-Xin Wang, Pin Wang, Zhu-Wei Miao +8 more · 2026 · Pharmacological research · Elsevier · added 2026-04-24
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative i Show more
We recently showed that METRNL (Meteorin-like) protects against atherosclerosis. However, the mechanism for METRNL in atherosclerosis is largely unclear. This study aimed to demonstrate the relative importance of endothelial METRNL in atherosclerosis by comparing the effects of whole-body METRNL deficiency to endothelial-specific deficiency, and to show the subcellular distribution of endothelial METRNL and its role in mitochondrial homeostasis against atherosclerosis. Our study demonstrated that a deficiency in either endothelial or global METRNL exacerbated atherosclerosis to a similar degree in both spontaneous (age-related) and high fat diet-induced atherosclerosis, suggesting that endothelial METRNL is pivotal in the progression of atherosclerosis due to METRNL deficiency. Endothelial METRNL was diffusely distributed in the cytoplasm with subcellular localization to mitochondria, nucleus, endoplasmic reticulum, and Golgi apparatus (especially enriched in mitochondria and nucleus). In both an in vivo apolipoprotein E-deficient (ApoE Show less
no PDF DOI: 10.1016/j.phrs.2026.108123
APOE

SOX5 Overexpression in Schwann Cell Combined With Chitosan-Based Conduit Promotes Peripheral Nerve Regeneration.

Bo Ma, Fengshi Zhang, Junyu Su +4 more · 2026 · Journal of the peripheral nervous system : JPNS · Blackwell Publishing · added 2026-04-24
Severe peripheral nerve injury (PNI) remains a major clinical challenge, and functional recovery after conventional neurorrhaphy is often unsatisfactory due to fascicular mismatch, suture tension, and Show more
Severe peripheral nerve injury (PNI) remains a major clinical challenge, and functional recovery after conventional neurorrhaphy is often unsatisfactory due to fascicular mismatch, suture tension, and limited Schwann cell viability. To address these limitations, we previously developed a small-gap chitosan-based conduit that provides a controlled microenvironment for regenerative interventions. This study aimed to investigate whether SOX5 overexpression enhances Schwann cell regenerative potential and, when combined with this conduit, synergistically promotes peripheral nerve regeneration. Schwann cells were transduced with SOX5 lentivirus and assessed for proliferation, migration, and neurotrophic factor secretion in vitro. In a rat sciatic nerve transection model (2-mm gap), animals received a chitosan conduit with intraluminal injection of SOX5 lentivirus. Histological, electrophysiological, and behavioral assessments were conducted at 12 weeks post-surgery. SOX5 overexpression significantly enhanced Schwann cell proliferation, migration, and secretion of BDNF, NGF, CNTF, and VEGF, while maintaining the dedifferentiated repair phenotype. In vivo, the combination of SOX5 lentivirus and chitosan conduit improved axonal regeneration, reduced muscle atrophy, and increased conduction velocity and locomotor recovery relative to the empty conduit group. Lentivirus-mediated SOX5 overexpression drives Schwann cells toward a repair phenotype and, when integrated with a small-gap chitosan-based conduit, effectively promotes structural and functional nerve regeneration. Show less
no PDF DOI: 10.1111/jns.70120
BDNF chitosan nerve injury neuroregeneration peripheral nerve regeneration schwann cell sox5 tissue engineering

Polyphenol consumption and neurodegeneration risk: a systematic meta-analysis of randomized controlled trials bridging nutrition and cognitive health.

Xiaomei Wang, Jiao Yang, Jiayuan Zhang +3 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Given the potential of polyphenols to mitigate neurodegenerative diseases (NDDs), this meta-analysis investigated whether clinical evidence supports the use of polyphenols for neuroprotection and as n Show more
Given the potential of polyphenols to mitigate neurodegenerative diseases (NDDs), this meta-analysis investigated whether clinical evidence supports the use of polyphenols for neuroprotection and as nutritional strategies in NDDs. We analyzed different polyphenol types across seven NDDs, 13 studies involving 849 participants were included. Prespecified outcomes comprised global cognition (Mini-Mental State Examination, MMSE), domain-specific cognition (Alzheimer's Disease Cooperative Study-Cognitive Subscale, ADCS-Cog), activities of daily living (Alzheimer's Disease Cooperative Study-Activities of Daily Living, ADCS-ADL), neuropsychiatric symptoms (Neuropsychiatric Inventory, NPI), and selected biomarkers (plasma amyloid-β40 and brain-derived neurotrophic factor, BDNF). Reporting followed PRISMA 2020 guidelines, methods conformed to the Cochrane Handbook, and certainty of evidence was assessed using GRADE. Overall, polyphenol supplementation was associated with improved global cognition (pooled MD in MMSE = 2.06; 95% CI 0.62-3.49). In subgroup analyses, flavonoids were associated with a modest but significant improvement in MMSE scores, whereas stilbenes produced a significant benefit in daily functioning (ADCS-ADL) without clear gains in MMSE or ADCS-Cog and no consistent effects on NPI. Anthocyanidins, phenolic acids, and lignans did not significantly affect cognitive outcomes (MMSE or ADCS-Cog), and polyphenol subclasses did not yield robust or consistent changes in NPI or biomarker endpoints (Aβ40 and BDNF). Specific polyphenol subclasses therefore appear to confer selective cognitive and functional benefits, with stilbenes primarily supporting functional outcomes and flavonoids potentially enhancing global cognition. Show less
no PDF DOI: 10.1039/d5fo05135e
BDNF cognitive health neurodegeneration neurodegenerative diseases neuroprotection nutrition polyphenols randomized controlled trials

TRIM21 as a Context-Dependent Regulator in Hepatocellular Carcinoma: Integrating Etiological Landscapes (HBV/NASH) with Core Tumor Progression Mechanisms.

Jiatong Sun, Zixuan Gao, Yuanhao Li +5 more · 2026 · Journal of hepatocellular carcinoma · added 2026-04-24
Tripartite motif-containing protein 21 (TRIM21), an E3 ubiquitin ligase of the TRIM superfamily, modulates critical cellular processes including ubiquitination, autophagy, and oxidative stress respons Show more
Tripartite motif-containing protein 21 (TRIM21), an E3 ubiquitin ligase of the TRIM superfamily, modulates critical cellular processes including ubiquitination, autophagy, and oxidative stress response. Accumulating evidence highlights its context-dependent regulatory roles in hepatocellular carcinoma (HCC)-the most prevalent primary liver malignancy with high mortality and limited therapeutic efficacy. This review systematically summarizes the core mechanisms by which TRIM21 orchestrates HCC progression: ① Autophagy regulation: TRIM21 modulates HCC autophagy via multiple axes, including CCR4-NOT complex (TNKS1BP1/CNOT4)-mediated substrate ubiquitination, ATG14-dependent autophagosome initiation, and RETREG1-driven reticulophagy, with context-dependent effects on tumor proliferation. ② Drug resistance: TRIM21 enhances oxaliplatin sensitivity by ubiquitinating and degrading G6PD (the rate-limiting enzyme of the pentose phosphate pathway), while its role in sorafenib resistance involves dual pathways-the MST1/YAP axis and the ApoE/cholesterol/PI3K-AKT cascade. ③ Metastasis suppression: TRIM21 restricts HCC invasion and metastasis by ubiquitinating key oncoproteins, preserving epithelial integrity and inhibiting mesenchymal transition. ④ Reactive oxygen species (ROS) balance: TRIM21 regulates oxidative stress in HCC via the SQSTM1/p62-Keap1-NRF2 axis, coordinating with HIF1α to modulate antioxidant responses and tumor cell survival. Additionally, we discuss the regulatory significance of TRIM21 in HCC associated with hepatitis B virus (HBV) infection (via HBx/DNA polymerase ubiquitination) and nonalcoholic steatohepatitis (NASH) (via suppressing lipogenic enzymes to reduce steatosis-driven carcinogenesis). This review provides a theoretical basis for TRIM21 as a potential diagnostic marker and therapeutic target for HCC. Show less
📄 PDF DOI: 10.2147/JHC.S575307
APOE

p-Synephrine, synergistically with Gastrodin, alleviates reserpine-induced depressive pathologies by binding to MT

Hong-Lei Gao, Huan Chen, Xiao-yan Zhang +2 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
p-Synephrine (p-Syn), a natural alkaloid isolated from Citrus aurantium L., promotes fat oxidation and is therefore widely used as a weight loss dietary supplement. It was recently reported to exert a Show more
p-Synephrine (p-Syn), a natural alkaloid isolated from Citrus aurantium L., promotes fat oxidation and is therefore widely used as a weight loss dietary supplement. It was recently reported to exert a potent antidepressant effect. However, its molecular targets remain undefined. Gastrodin (Gas), extracted from Gastrodia elata Blume, exerts antidepressant effects by targeting Melatonin Receptor 1A (MT This study aimed to evaluate whether MT Network pharmacology was applied to predict potential targets and associated signaling pathways for p-Syn and Gas. Molecular Docking simulations were employed to predict the possible binding sites of MT Using a network pharmacology approach and in vitro assays, we found that both p-Syn and Gas bind to MT1, activate the ERK/CREB signaling pathway, and up-regulate BDNF. In vivo assays showed that p-Syn alleviated Reserpine (Res)-induced depression-like symptoms in AB zebrafish larvae and C57 mice. Furthermore, p-Syn and Gas showed a remarkable synergistic effect. This study identifies a novel target for p-Syn and provides new insights into the antidepressant mechanisms of p-Syn and Gas that may contribute to the clinical application of these compounds in the development of new drugs for the treatment of depression. Show less
no PDF DOI: 10.1016/j.phymed.2025.157757
BDNF antidepressant effect depressive pathologies fat oxidation melatonin receptor molecular targets network pharmacology

Integrating neurotrophic and anti-inflammatory pathways: press-needle acupuncture as a multi-target therapy for adolescent depression.

Haomin Zhang, Yufeng Rong, Ruirui Ning +3 more · 2026 · The International journal of neuroscience · Taylor & Francis · added 2026-04-24
Press needle therapy, may alleviate depressive-like behaviors. Male rats were randomly allocated into four groups ( Press-needle ameliorated depressive-like behaviors in CUMS-exposed rats, restored bo Show more
Press needle therapy, may alleviate depressive-like behaviors. Male rats were randomly allocated into four groups ( Press-needle ameliorated depressive-like behaviors in CUMS-exposed rats, restored body weight gain and improved behavioral performance. The treatment upregulated the hippocampal BDNF/TrkB/CREB signaling pathway, increasing BDNF, TrkB, CREB, AKT, and PI3K in the hippocampus. The therapy modulated serotonergic neurotransmission by increasing hippocampal 5-HTT expression, while downregulating 5-HT1A and 5-HT2C receptors and PKA. Notably, press-needle exerted anti-neuroinflammatory effects, reducing hippocampal and serum levels of TNF-α and IL-6. Histopathological analysis confirmed its neuroprotective efficacy, demonstrating attenuated neuronal damage in hippocampal tissues. Show less
no PDF DOI: 10.1080/00207454.2026.2643312
BDNF akt bdnf creb hippocampal neurotransmission pi3k serotonergic

The KANSL1-ARL17A fusion gene generates oncogenic chKANSARL and F-circKA RNAs that synergistically drive lung cancer progression via a novel F-circKA/miR-6860/chKANSARL axis.

Xinchao Guan, Tao Liu, Sili Chen +4 more · 2026 · The Journal of biological chemistry · Elsevier · added 2026-04-24
Fusion genes are pivotal drivers of tumorigenesis, often generating oncogenic chimeric RNAs and fusion circular RNAs. However, the mechanisms by which these transcripts synergistically contribute to c Show more
Fusion genes are pivotal drivers of tumorigenesis, often generating oncogenic chimeric RNAs and fusion circular RNAs. However, the mechanisms by which these transcripts synergistically contribute to cancer progression remain poorly understood. Here, we identified a lung cancer-specific chimeric RNA KANSL1-ARL17A (chKANSARL) and its circular variant fusion circular RNA KANSL1-ARL17 A (F-circKA), both derived from the fusion gene KANSARL. Functional assays revealed that overexpression of either chKANSARL or F-circKA significantly enhanced lung cancer cell proliferation, migration, and invasion, while their knockdown suppressed these malignant phenotypes. In vivo experiments demonstrated that chKANSARL overexpression accelerated tumor growth in immunodeficient mice. Notably, coexpression experiments uncovered a synergistic regulatory interaction between F-circKA and chKANSARL, amplifying oncogenic effects. Mechanistically, miRNA sequencing and dual-luciferase assays revealed that F-circKA acts as a molecular sponge for miR-6860, thereby derepressing chKANSARL expression. Rescue experiments further validated this regulatory axis, wherein miR-6860 inhibition reversed the tumor-suppressive effects of F-circKA knockdown. Collectively, our study identifies and characterizes a novel F-circKA/miR-6860/chKANSARL regulatory axis, revealing how dual transcriptional outputs from the KANSARL fusion gene can synergistically drive lung cancer progression. These findings highlight a previously unrecognized layer of cooperative regulation between linear and circular fusion RNAs in oncogenesis and provide a new framework for understanding fusion gene-mediated tumorigenesis. Show less
📄 PDF DOI: 10.1016/j.jbc.2026.111170
KANSL1