👤 Qing 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, Chaobao 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-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

Identifying subtypes and determinants of fall risk perception in older adults: a latent profile analysis.

Xin Yang, Haiyan Xiang, Weiming Qian +5 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
Falls have long been a significant safety concern worldwide, not only compromising the physical and psychological health of older adults and limiting their social engagement but also imposing substant Show more
Falls have long been a significant safety concern worldwide, not only compromising the physical and psychological health of older adults and limiting their social engagement but also imposing substantial economic and caregiving burdens. Evidence on fall risk perception among Chinese community-dwelling older adults remains limited, especially for those transitioning to community living after hospital discharge. This research examined the subtypes of fall risk perception of Chinese community-dwelling older adults in the post-discharge transition and to explore subgroup characteristics and associated factors. A cross-sectional survey was conducted between January 2024 to March 2025 in Hangzhou, Zhejiang Province. A self-designed questionnaire was used to collect demographic and health-related information, The Fall Risk Perception Scale for Community-dwelling Older Adults was used to assess the fall risk perception, the objective fall risk was assessed by Morse Fall Scale. Latent profile analysis (LPA) was performed to extract latent classes of fall risk perception, and multinomial regression analyses were used to identify differences between these categories. A total of 468 older adults were included, with 56.0% were male. Three fall risk perception subtypes were identified by LPA: Low Perception-Social Context Desensitized Type (29.2%), Moderate Perception - Balanced Type (43.4%), and High Perception - Bio-behaviorally Salient Type (27.4%). Individuals who were aged with 70-79 (OR = 0.46, 95% CI: 0.27-0.77), with college education or above (OR = 0.31, 95% CI: 0.13-0.76), those who underwent surgery during hospitalization (OR = 0.26, 95% CI: 0.15-0.43), reported difficulty falling asleep (OR = 0.40, 95% CI: 0.20-0.82), and those with a history of falls (OR = 0.44, 95% CI: 0.24-0.81) were significantly more likely to be in the High Perception - Bio-behaviorally Salient Type. Compared to objective fall risk level, a third of participants (31.4%) correctly estimated their fall risk, 23.1% overestimated it and 45.5% underestimated it. Most older adults possess a Moderate Perception - Balanced Type toward fall risk. Key determinants of heightened risk perception included advanced age, higher education, fall history, and recent surgical experience. Tailored, profile-specific risk communication strategies are essential to improve perceptual accuracy during the hospital-to-home transition may support post-discharge fall prevention. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1759157
LPA

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

SRC suppression attenuates vascular aging by activating FUNDC1-dependent mitophagy.

Linghuan Wang, Yan Ma, Tianhu Wang +8 more · 2026 · Mechanisms of ageing and development · Elsevier · added 2026-04-24
Vascular smooth muscle cell senescence contributes critically to vascular remodeling and atherosclerosis, with mitochondrial dysfunction and impaired mitophagy recognized as major contributors. SRC, a Show more
Vascular smooth muscle cell senescence contributes critically to vascular remodeling and atherosclerosis, with mitochondrial dysfunction and impaired mitophagy recognized as major contributors. SRC, a stress-responsive tyrosine kinase, has been linked to aging, yet its role in vascular aging remains unclear. Here, we examined the role of SRC in regulating autophagy/mitophagy using in vitro and in vivo models. An accelerated vascular aging model was established using a high-fat diet and streptozotocin injection in ApoE Show less
no PDF DOI: 10.1016/j.mad.2026.112156
APOE

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

Vascular Smooth Muscle Cell-Specific BCAT2 Deficiency Attenuates Diabetic Atherosclerotic Calcification via Histone Propionylation.

Lili Zhang, Yujie Yang, Wei Yuan +7 more · 2026 · Research (Washington, D.C.) · added 2026-04-24
📄 PDF DOI: 10.34133/research.1052
APOE

Water-soluble tomato concentrate alleviates neuron apoptosis though activating ERK/CREB/BDNF signaling pathway in ischemic stroke.

Liang Zhou, Miao Yu, Yunqi Zhang +3 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Ischemic stroke is a leading cause of mortality and disability worldwide, and there is an urgent need for safe dietary agents with neuroprotective potential. Water-soluble tomato concentrate (WSTC), a Show more
Ischemic stroke is a leading cause of mortality and disability worldwide, and there is an urgent need for safe dietary agents with neuroprotective potential. Water-soluble tomato concentrate (WSTC), a tomato-derived functional ingredient approved in Europe for cardiovascular health, was evaluated for its protective effects against cerebral ischemia-reperfusion injury. Using a middle cerebral artery occlusion/reperfusion rat model and oxygen-glucose deprivation/reoxygenation neuronal model, we demonstrated that WSTC improved cerebral perfusion, reduced infarct volume, alleviated histopathological damage, and enhanced neurological recovery. Mechanistic studies integrating transcriptomics, network pharmacology, and molecular assays revealed that WSTC inhibited oxidative stress and neuronal apoptosis while activating the ERK/CREB/BDNF signaling pathway. These findings provide the first comprehensive evidence that WSTC confers multi-target neuroprotection and highlight its translational potential as a safe, plant-based functional food ingredient for promoting brain health and reducing ischemic injury. Show less
no PDF DOI: 10.1039/d5fo05487g
BDNF apoptosis bdnf creb erk ischemia neuron neuroprotective

The E3 ligases Itch and WWP2 regulate autoimmune neuroinflammation by controlling T

Mei Zhao, Chao Zhang, Xin Zhang +3 more · 2026 · Nature communications · Nature · added 2026-04-24
Multiple sclerosis (MS) is a neurodegenerative autoimmune disease primarily mediated by T helper 17 (T
no PDF DOI: 10.1038/s41467-025-67665-w
WWP2

Lipoprotein(a) is associated with ASCVD in individuals with non-diabetes, prediabetes, or diabetes independent of CRP.

Zenglei Zhang, Lin Zhao, Zeyu Wang +4 more · 2026 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
Conflicting data have explored the association between lipoprotein(a) [Lp(a)] and atherosclerotic cardiovascular disease (ASCVD) among individuals with different glucose metabolism statuses. We aimed Show more
Conflicting data have explored the association between lipoprotein(a) [Lp(a)] and atherosclerotic cardiovascular disease (ASCVD) among individuals with different glucose metabolism statuses. We aimed to prospectively evaluate this association and to assess whether it is modified by C-reactive protein (CRP). This population-based cohort study was derived from the UK Biobank database. Lp(a) and CRP were measured between 2006 and 2010. Cox proportional hazards models and restricted cubic spline curves were employed to assess the relationship between Lp(a) levels and time to ASCVD events. A total of 307 269 participants without prevalent ASCVD were included, comprising 253 746 individuals with normal glucose regulation (NGR), 38 020 with prediabetes, and 15 503 with diabetes. The mean age was 57 years (Q1-Q3: 50-63), and 55.3% were female. Over a median follow-up of 13.2 years, 29 521 ASCVD events occurred. Higher Lp(a) levels were associated with an increased risk of ASCVD across all glucose metabolism statuses. In fully adjusted models, the hazard ratio (95% confidence interval) for ASCVD comparing participants in the top 10% of Lp(a) with those in the bottom 33% was 1.28 (1.22-1.34) among those with NGR, 1.23 (1.12-1.35) among those with prediabetes, and 1.16 (1.02-1.31) among those with diabetes. No significant interactions were observed after stratification by CRP (<2/≥2 mg/L) across glucose metabolism groups (P for interaction >0.05). Elevated Lp(a) levels were associated with a higher risk of ASCVD across different glucose metabolism statuses, particularly among individuals with NGR and prediabetes, independent of baseline CRP levels. Show less
no PDF DOI: 10.1111/dom.70491
LPA

Engineered macrophage-assisted atorvastatin nanotherapy for reversing foam cell formation in atherosclerosis.

Xiaoyu Liang, Jianghui Zhou, Yun Chang +7 more · 2026 · Journal of materials chemistry. B · Royal Society of Chemistry · added 2026-04-24
Atherosclerosis currently lacks effective therapeutic strategies specifically targeting and inhibiting foam cell formation. In this study, we engineered a macrophage nanoparticle composite drug delive Show more
Atherosclerosis currently lacks effective therapeutic strategies specifically targeting and inhibiting foam cell formation. In this study, we engineered a macrophage nanoparticle composite drug delivery system that utilizes macrophages for competitive lipid uptake, coupled with ROS-responsive statin nanoparticles aimed at inhibiting cholesterol synthesis. This integrated system embodies a "smart immunomodulatory" approach, leveraging the inherent activity and targeted capabilities of immune cells. Experimental results demonstrated that this system significantly reduced lipid accumulation within foam cells by inhibiting cholesterol uptake, promoting cholesterol efflux and inhibition of apoptosis. These effects were mediated through microenvironmental optimization and upregulation of ABCA-1 and SR-BI expression. In an APOE knockout mouse model of atherosclerosis, the system effectively lowered lipid levels, modulated inflammatory responses, and significantly reduced foam cell formation and atherosclerotic plaque development. The system enhanced Treg cell proliferation and TGF-β secretion. Moreover, the system demonstrated high biocompatibility and therapeutic efficacy, training macrophages to revert to a low-lipid and M2 phenotype. This targeted drug delivery system integrates multiple therapeutic mechanisms, including inhibition of cholesterol uptake, enhancement of cholesterol efflux, and immunomodulation, providing a promising new strategy for the treatment of atherosclerosis. Show less
no PDF DOI: 10.1039/d5tb01096a
APOE

APOE and CCR2: Potential Macrophage-Specific Biomarkers in the Rheumatoid Arthritis Synovial Microenvironment Identified by Bioinformatics and Experimental Verification in Murine Models.

Dongyi Wang, Le Lu, Yuping Zhang +1 more · 2026 · Journal of inflammation research · added 2026-04-24
Rheumatoid arthritis (RA) is a chronic inflammatory joint disorder in which macrophages play crucial roles. Given macrophage heterogeneity, novel biomarkers are needed for timely diagnosis and severit Show more
Rheumatoid arthritis (RA) is a chronic inflammatory joint disorder in which macrophages play crucial roles. Given macrophage heterogeneity, novel biomarkers are needed for timely diagnosis and severity assessment. This study aimed to identify macrophage-specific hub genes in RA and investigate their biological functions. Bulk and single-cell RNA-seq datasets were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) in RA synovial macrophages were identified from the GSE97779 dataset using the Limma R package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to determine the biological processes and pathways associated with the DEGs, followed by Gene Set Enrichment Analysis (GSEA) for further validation. Hub genes were identified using the STRING database and Cytoscape. Based on the single‑cell dataset GSE192504, cell clusters were annotated with Seurat to determine macrophage‑specific hub genes, whose associated biological processes were explored via gene set variation analysis (GSVA). Further sub‑clustering revealed distinct macrophage subtypes. Finally, immunofluorescence staining was performed to identify molecular markers of macrophage subtypes, while RT-qPCR and ELISA were used to validate the mRNA and protein expression of macrophage-specific hub genes in in vitro experiments. We identified 334 DEGs enriched in immune-related pathways. Ten hub genes ( Show less
📄 PDF DOI: 10.2147/JIR.S587712
APOE

Targeting IL27RA Enhances Immunotherapy in Triple-Negative Breast Cancer by Modulating Tumor Cells and the Tumor Microenvironment.

Jiachi Xu, Qian Long, Meirong Zhou +6 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Immune checkpoint blockade (ICB) has improved outcomes for patients with triple-negative breast cancer (TNBC), yet resistance remains widespread and its molecular basis is not fully understood. Throug Show more
Immune checkpoint blockade (ICB) has improved outcomes for patients with triple-negative breast cancer (TNBC), yet resistance remains widespread and its molecular basis is not fully understood. Through single-cell RNA sequencing (scRNA-seq) of paired pre- and post-treatment tumor samples from patients who failed to achieve pathological complete response (non-pCR) after neoadjuvant PD-1 therapy, we identified a marked upregulation of interleukin-27 receptor subunit alpha (IL27RA) in malignant epithelial cells within residual lesions. Integration with scRNA-seq profiles from an independent cohort of three pCR patients showed that this IL27RA upregulation in malignant epithelium is largely restricted to non-pCR residual tumors, and high IL27RA expression correlated with poor survival in TNBC cohorts. Mechanistically, IL27RA suppresses MHC-I expression by activating the PI3K/AKT pathway-rather than the classical IL-27/STAT axis-thereby impairing CD8⁺ T-cell cytotoxic function. Inhibition of AKT reversed this phenotype and restored antigen-specific killing. In orthotopic tumor models, mimicking systemic loss of Il27ra significantly reduced tumor growth and prolonged survival in immunocompetent mice, with single-cell profiling indicating enhanced intratumoral T-cell and NK-cell effector activity. Collectively, our findings identify an epithelial-intrinsic IL27RA-PI3K/AKT-MHC-I axis as a central driver of immune evasion and ICB resistance in TNBC and support IL27RA as a promising therapeutic target for overcoming immunotherapy resistance. Show less
📄 PDF DOI: 10.1002/advs.202516703
IL27

Identifying High-Performance Advanced Practice Profile of Specialist Nurses in Mainland China: A Mixed-Methods Sequential Explanatory Study.

Wenjuan Zhao, Jie Zhong, Xiaobin Lai +3 more · 2026 · Journal of nursing management · added 2026-04-24
Identifying high-performing advanced practice nursing roles and understanding the factors that contribute to their effectiveness are critical for advancing professional development, optimizing workfor Show more
Identifying high-performing advanced practice nursing roles and understanding the factors that contribute to their effectiveness are critical for advancing professional development, optimizing workforce deployment, and ensuring long-term sustainability in nursing. This study aimed to (1) identify distinct latent profiles of advanced practice nursing among specialist nurses in mainland China, (2) quantitatively examine the individual and contextual factors associated with high performance, as characterized by these profiles, and (3) qualitatively confirm the significant factors using explanatory semistructured interviews in the high-performance groups. A mixed-methods sequential explanatory design was used, in which quantitative data were collected first and subsequently explained through qualitative interviews. Certified specialist nurses from 16 hospitals across urban and rural areas of Shanghai were included. Latent profile analysis (LPA) was conducted using the five domains from the Advanced Practice Role Delineation tool as manifest indicators to classify nurses into distinct performance profiles. Multinomial logistic regression was used to examine potential determinants (e.g., job position) of group membership. Additionally, a backpropagation neural network (BPNN) was developed to rank the importance of contributing factors. Specialist nurses identified as high performers in the quantitative phase were purposively sampled for explanatory semistructured qualitative interviews. Three latent profiles emerged: high performance (26.1%), moderate performance (46.3%), and low performance (27.6%). Compared to APNs, staff nurses had significantly lower odds of belonging to the high-performance group ( Identifying the profiles of advanced practice nursing roles provides valuable insights for optimizing APN performance and informing targeted management and policy strategies. High-performing specialist nurses are positioned at the nexus of individual capability, interdisciplinary collaboration, and institutional support. Show less
📄 PDF DOI: 10.1155/jonm/3528145
LPA

Pathway-Informed Machine Learning Identifies Genetic Predictors of High-Dose Methotrexate-Induced Mucositis in Pediatric Acute Lymphoblastic Leukemia.

Xiao Yu Cindy Zhang, Erika N Scott, Hedy Maagdenberg +7 more · 2026 · Clinical pharmacology and therapeutics · Wiley · added 2026-04-24
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and impact survival. While individual genetic variant Show more
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and impact survival. While individual genetic variants have been implicated, the cumulative impact of genetic variation within relevant biological pathways remains unexplored. We evaluated single nucleotide polymorphisms across 18 pathways previously identified as relevant to mucositis in 278 pediatric patients with acute lymphoblastic leukemia from six academic health centers across Canada. Pathway enrichment was assessed using the Joint Association of Genetic variants tool, and a predictive model was developed using XGBoost, a supervised machine learning algorithm based on gradient-boosted decision trees. Pathway enrichment identified significant associations in IL6 (P = 0.04) and WNT/β-catenin (P = 0.048) signaling pathways. The predictive model (area under the curve [AUC] = 0.76) highlighted single nucleotide polymorphisms associated with inflammation- and mucosa-related genes, including PRKCD, IL17B, MAST3, and CAPN9, with both risk and protective effects. Model performance dropped by 0.15 in AUC (from 0.76 to 0.61) after removing single nucleotide polymorphism features, underscoring their predictive value. This pathway-informed approach identifies genetic contributors to methotrexate-induced mucositis and supports polygenic risk prediction. Our findings provide a foundation for individualized toxicity risk profiling and suggest potential therapeutic targets to mitigate treatment-limiting mucositis in pediatric oncology. Show less
📄 PDF DOI: 10.1002/cpt.70135
MAST3

Senkyunolide H potentiates bone marrow-derived mesenchymal stem cells therapy for liver cirrhosis by targeting MAEA to enhance ERK-driven HGF secretion.

Yue Liang, Ying-Lin Zhang, Tian-Yu Cheng +7 more · 2026 · Pharmacological research · Elsevier · added 2026-04-24
Pharmacological preconditioning of mesenchymal stem cells (MSCs) is a promising strategy to enhance their therapeutic efficacy for end-stage liver disease; however, maximizing this benefit remains a m Show more
Pharmacological preconditioning of mesenchymal stem cells (MSCs) is a promising strategy to enhance their therapeutic efficacy for end-stage liver disease; however, maximizing this benefit remains a major clinical challenge. Senkyunolide H (SNH), a small-molecule compound derived from Angelica sinensis, exhibits anti-inflammatory, antioxidant, and anti-apoptotic properties. Nevertheless, its capacity to optimize MSCs-based therapy for liver disease has not been fully elucidated. Here, we demonstrate that SNH preconditioning significantly enhances the therapeutic efficacy of bone marrow mesenchymal stem cells (BMSCs) in a murine model of liver cirrhosis. Specifically, SNH-pretreated BMSCs markedly alleviated hepatocellular injury, promoted hepatocyte proliferation, and attenuated collagen deposition. Mechanistically, SNH augments the therapeutic potency of BMSCs by partly binding to macrophage erythroblast attacher (MAEA), a subunit of the E3 ubiquitin ligase complex. This interaction stabilizes MAEA, which in turn facilitates the ubiquitination and proteasomal degradation of dual specificity phosphatase 6 (DUSP6), thereby activating ERK/STAT3 signaling and upregulating the secretion of hepatocyte growth factor (HGF). Collectively, our findings highlight SNH preconditioning as a robust approach to enhance the paracrine function and therapeutic potential of BMSCs, and identify MAEA as a novel therapeutic target for BMSCs-based interventions in liver cirrhosis. Show less
no PDF DOI: 10.1016/j.phrs.2026.108160
DUSP6

APOE-mediated lipid transport prevents C1q-related synaptic loss after spinal cord injury via attenuating macrophage lipid stress.

Yersen Mulat, Zun Ren, Chaocao Nong +14 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Following spinal cord injury (SCI), neuroinflammation driven by lipid-laden macrophage foam cells is a key pathology, yet how these cells manage their lipid homeostasis is unclear. We delineate a neur Show more
Following spinal cord injury (SCI), neuroinflammation driven by lipid-laden macrophage foam cells is a key pathology, yet how these cells manage their lipid homeostasis is unclear. We delineate a neuroprotective axis in which macrophages deploy apolipoprotein E (APOE) to transfer intracellular lipids to neighboring cells, especially fibroblasts. Genetic ablation of The online version contains supplementary material available at 10.1186/s12974-026-03756-9. Show less
📄 PDF DOI: 10.1186/s12974-026-03756-9
APOE

Partially Replacing Dietary Carbohydrate With Unsaturated Fat or Protein Shifts Protein-Based HDL Subspecies Toward Lower Coronary Heart Disease Risk.

Bo Zhang, Jeremy D Furtado, Allison B Andraski +7 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Dietary unsaturated fat, protein, and carbohydrate have well-established effects on HDL (high-density lipoprotein) cholesterol levels, but whether these effects are connected causally to coronary hear Show more
Dietary unsaturated fat, protein, and carbohydrate have well-established effects on HDL (high-density lipoprotein) cholesterol levels, but whether these effects are connected causally to coronary heart disease (CHD) has been called into question. Protein-based minor HDL subspecies are emerging as novel and likely causal biomarkers, direct or inverse, for risk of CHD, diabetes, and other conditions. HDL-raising drugs such as CETP (cholesteryl ester transfer protein) inhibitors raise certain HDL subspecies that have adverse effects on CHD risk. We hypothesize that dietary unsaturated fat, protein, and carbohydrate differentially affect 15 minor protein-based HDL subspecies with diverse functionality in lipid metabolism, antioxidation, immunity, hemostasis, and protease inhibition. We analyzed the apo (apolipoprotein) A1 concentrations of 15 minor HDL subspecies after 4 weeks on each diet in 141 participants in the OmniHeart trial (Optimal Macronutrient Intake Trial to Prevent Heart Disease), a randomized 3-period crossover, controlled feeding study. The diet rich in carbohydrate contained 58% carbohydrate, 27% fat, and 15% protein, and the diets rich in unsaturated fat and protein replaced 10% of carbohydrate with unsaturated fat or protein, respectively. Unsaturated fat replacing dietary carbohydrate increased concentrations of apoA1 in lipid metabolism subspecies including HDL that contains apoA2, apoE, or apoC1 that has been associated with reduced risk of CHD. Protein replacing carbohydrate increased apoE HDL, consistent with lower CHD risk, and decreased concentrations of several other HDL subspecies that were associated with higher risk of CHD including HDL that contains PLMG (plasminogen), A2M (alpha-2-macroglobulin), or apoL1. Network analysis showed connections between functional groups of HDL subspecies that are quantitatively affected by dietary macronutrients. Replacing dietary carbohydrate with unsaturated fat or protein raised levels of protein-based HDL subspecies associated with lower risk of CHD or lowered the levels of those associated with higher risk of CHD. Minor HDL subspecies with diverse functions may mediate the association of dietary patterns with risk of CHD. URL: https://www.clinicaltrials.gov; Unique identifier: NCT00051350. Show less
📄 PDF DOI: 10.1161/ATVBAHA.125.323709
APOE

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

Decoding the triglyceride-glucose index in metabolic dysfunction-associated steatotic liver disease: integrative insights from Mendelian randomization, cross-tissue transcriptomics, and spatial multi-omics.

Shuxu Wei, Lingbin He, Youti Zhang +8 more · 2026 · International journal of surgery (London, England) · added 2026-04-24
The triglyceride-glucose (TyG) index, an insulin resistance marker linked to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), underscores the redox imbalance-mediat Show more
The triglyceride-glucose (TyG) index, an insulin resistance marker linked to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), underscores the redox imbalance-mediated crosstalk between MASLD and cardiovascular-liver-metabolic health (CLMH), although its causal mechanisms and molecular drivers remain unresolved. We employed a multi-omics framework to integrate Mendelian randomization (MR) and transcriptome-wide association studies (TWAS). MR leveraged 192 genome-wide significant single-nucleotide polymorphisms for TyG from the UK Biobank, employing inverse-variance weighted (IVW) and generalized summary-data MR (GSMR). Transcriptomic integration utilized four approaches: Multi-marker Analysis of GenoMic Annotation for gene-set enrichment; Joint-Tissue Imputation PrediXcan (JTI-PrediXcan) for tissue-specific expression; Sparse Multi-Tissue Imputation Xcan (SMulTiXcan) for cross-tissue meta-analysis; and Fine-mapping of Causal Gene Sets (FOCUS) for Bayesian fine-mapping. Comorbid genes were validated using Functional Summary-based Imputation (FUSION) and prioritized based on the Polygenic Priority Score (PoPS). Single-cell spatial transcriptomics (sc-ST) in embryonic mice (E16.5) mapped tissue-specific expression via genetically informed spatial mapping (gsMap). The MR analysis demonstrated a causal effect of TyG on MASLD risk [IVW: odds ratio (OR) = 1.58, 95% CI = 1.04-2.38, P = 0.030; GSMR: OR = 1.43, 95% CI = 1.27-1.61, P = 5.20 × 10 -9 ]. TWAS identified 12 comorbid genes (C2orf16/SPATA31H1, FNDC4, GCKR, GMIP, HAPLN4, LPAR2, MAU2, MEF2B, NDUFA13, NRBP1, TM6SF2, and ZNF513). Independent validation using the FUSION framework confirmed nine TyG-MASLD comorbid genes with genome-wide significant false discovery rate-adjusted associations. Notably, TM6SF2 (TyG-PoPS = 7.2491) and GCKR (TyG-PoPS = 6.7102) showed strong positive associations in TyG, whereas NDUFA13 exhibited negative scores in MASLD (PoPS = -0.5028). Spatial mapping revealed conserved enrichment of APOA1, APOB, and APOC4 (sc-ST, P < 0.001) in murine liver and vascular tissues. Organ-specific analysis showed significant MASLD signals including the liver (sc-ST, P = 6.43 × 10 -5 ), adrenal gland (Cauchy P = 0.0064), and connective tissue (sc-ST, P = 3.29 × 10 -5 ). This study establishes TyG as a causal MASLD driver mediated by redox-sensitive hubs and evolutionarily conserved apolipoproteins, linking hepatic lipid peroxidation to systemic metabolic dysregulation. Targeting these pathways may mitigate dual hepatic-cardiovascular risks, advancing precision therapies for CLMH. Show less
📄 PDF DOI: 10.1097/JS9.0000000000003576
APOB

Clostridium butyricum ameliorates atherosclerotic inflammation through regulation of gut microbiota.

Jing Wang, Junbai Ma, Yiwei Li +6 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
Atherosclerosis (AS) is closely associated with gut microbiota that plays an important role in regulating intestinal mucosal barrier function, chronic inflammation, and immune homeostasis. Thus, targe Show more
Atherosclerosis (AS) is closely associated with gut microbiota that plays an important role in regulating intestinal mucosal barrier function, chronic inflammation, and immune homeostasis. Thus, targeting the modulation of gut microbitoa repesents a promising strategy for the control of AS. Clostridium butyricum (C. butyricum) serving as a kind of probiotics has shown a variety of biological benefits, but it's impact on atherosclerosis remains poorly understood. Sixty male ApoE C. butyricum ameliorated dyslipidemia and attenuated atherosclerotic plaque formation in ApoE C. butyricum intervention may exert anti-AS effects by reshaping gut homeostasis via the regulation of immune cells, providing a potential strategy for clinical treatment. Show less
no PDF DOI: 10.1016/j.intimp.2026.116315
APOE

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

Transcriptome Analysis of Different Stages in the Early Ovarian Development of the Greater Amberjack (

Qiuxia Deng, Yang Huang, Xiaoying Ru +10 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The greater amberjack (
📄 PDF DOI: 10.3390/ani16050709
HSD17B12

Gualou Huoxue Jiedu Decoction inhibits VSMC phenotypic switching to alleviate atherosclerosis via promoting Mfap4 DNA methylation.

Yiming Li, Wenxin Zou, Yan Zhang +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global mo Show more
Atherosclerosis (AS) is a chronic disease characterized by lipid deposition in the vascular intima. As the pathological basis of cardiovascular diseases, AS represents a major contributor to global morbidity and mortality. While Gualou Huoxue Jiedu Decoction (GHJD) has been widely used in clinical practice for the treatment of AS, the molecular mechanisms remain unclear. To investigate the anti-atherosclerotic effects and underlying mechanisms of GHJD. Apoe GHJD alleviated plaque formation, improved lipid metabolism, and suppressed inflammation in vivo. Multi-omics analysis revealed that DNA methylation of Mfap4 could be a pivotal target of GHJD efficacy. In vitro assays confirmed that GHJD suppressed Mfap4 transcription and translation, leading to downregulation of integrin receptor family expression and inhibition of VSMC phenotypic switching. GHJD exerts anti-atherosclerotic effects through epigenetic modulation of Mfap4 and downstream integrin/FAK signaling pathway, thereby inhibiting VSMC phenotypic switching. These findings provide pharmacological evidence supporting GHJD as a potential therapy for AS and, for the first time, validate MFAP4 as a pharmacological target, offering new insights into AS prevention and treatment. Show less
no PDF DOI: 10.1016/j.phymed.2026.157881
APOE

Mitochondria-Associated Endoplasmic Reticulum Membrane Biomarkers in Coronary Heart Disease and Atherosclerosis: A Transcriptomic and Mendelian Randomization Study.

Junyan Zhang, Ran Zhang, Li Rao +5 more · 2026 · Current issues in molecular biology · MDPI · added 2026-04-24
Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide. Mitochondria-associated endoplasmic reticulum membranes (MAMs) have recently emerged as critical mediators in Show more
Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide. Mitochondria-associated endoplasmic reticulum membranes (MAMs) have recently emerged as critical mediators in cardiovascular pathophysiology; however, their specific contributions to CHD pathogenesis remain largely unexplored. This study aimed to identify and validate MAM-related biomarkers in CHD through integrated analysis of transcriptomic sequencing data and Mendelian randomization, and to elucidate their underlying mechanisms. We analyzed two gene expression microarray datasets (GSE113079 and GSE42148) and one genome-wide association study (GWAS) dataset (ukb-d-I9_CHD) to identify differentially expressed genes (DEGs) associated with CHD. MAM-related DEGs were filtered using weighted gene co-expression network analysis (WGCNA). Functional enrichment analysis, Mendelian randomization, and machine learning algorithms were employed to identify biomarkers with direct causal relationships to CHD. A diagnostic model was constructed to evaluate the clinical utility of the identified biomarkers. Additionally, we validated the two hub genes in peripheral blood samples from CHD patients and normal controls, as well as in aortic tissue samples from a low-density lipoprotein receptor-deficient (LDLR-/-) atherosclerosis mouse model. We identified 4174 DEGs, from which 3326 MAM-related DEGs (DE-MRGs) were further filtered. Mendelian randomization analysis coupled with machine learning identified two biomarkers, DHX36 and GPR68, demonstrating direct causal relationships with CHD. These biomarkers exhibited excellent diagnostic performance with areas under the receiver operating characteristic (ROC) curve exceeding 0.9. A molecular interaction network was constructed to reveal the biological pathways and molecular mechanisms involving these biomarkers. Furthermore, validation using peripheral blood from CHD patients and aortic tissues from the Ldlr-/- atherosclerosis mouse model corroborated these findings. This study provides evidence supporting a mechanistic link between MAM dysfunction and CHD pathogenesis, identifying candidate biomarkers that have the potential to serve as diagnostic tools and therapeutic targets for CHD. While the validated biomarkers offer valuable insights into the molecular pathways underlying disease development, additional studies are needed to confirm their clinical relevance and therapeutic potential in larger, independent cohorts. Show less
📄 PDF DOI: 10.3390/cimb48010075
DHX36

NRF1 Induces ApoEhigh Cancer-Associated Fibroblasts to Promote Stemness of Renal Cell Carcinoma.

Ying Zhang, Zhouting Tuo, Yuan Lin +10 more · 2026 · Cancer research · added 2026-04-24
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating Show more
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating heterogeneity of CAFs in renal cell carcinoma (RCC) could represent potential targets for reprogramming the TME. In this study, we conducted single-cell RNA sequence and flow cytometry analyses that identified a CAF subset overexpressing apolipoprotein E (ApoE), which was correlated with poor survival in patients with RCC. Mechanistically, NRF1 activation in CAFs induced formation of ApoEhigh CAFs and secretion of NRG1. ApoEhigh CAFs potentiated stemness properties in the surrounding RCC cells by secreting NRG1 and subsequently activating the HER2/NF-κB pathway. Interfering with NRG1 expression or inhibiting NF-κB signaling reduced ApoEhigh CAF-induced stemness of RCC cells. Furthermore, neutralizing NRG1 enhanced the efficacy of sunitinib in RCC models in vivo. Together, these findings highlight targeting the tumor-promoting functions of ApoEhigh CAFs as a promising approach for treating advanced RCC. NRF1 drives formation of ApoEhigh cancer-associated fibroblasts that secrete NRG1 to stimulate stemness of renal cell carcinoma, revealing a stromal-mediated mechanism that can be inhibited to improve treatment of advanced kidney cancer. Show less
no PDF DOI: 10.1158/0008-5472.CAN-25-0959
APOE

Blood-Brain Barrier-Permeable siRNA Nanodrugs With Dual-Gene Knockdown for Alzheimer's Disease Therapy.

Feng Su, Shengnan Lu, Yaoyao Zhang +8 more · 2026 · Clinical and experimental pharmacology & physiology · Blackwell Publishing · added 2026-04-24
The presence of a blood-brain barrier (BBB) prevents the delivery of most drugs to the brain. This characteristic limitation poses a major challenge to effective pharmacological treatment for numerous Show more
The presence of a blood-brain barrier (BBB) prevents the delivery of most drugs to the brain. This characteristic limitation poses a major challenge to effective pharmacological treatment for numerous neurodegenerative diseases, particularly Alzheimer's disease. Delivering small interfering RNA (siRNA) via nanoparticles represents a highly promising approach for treating Alzheimer's disease. Nevertheless, developing a safe and efficient siRNA delivery system remains challenging. To enhance brain targeting and therapeutic efficacy, we developed an siRNA nanocarrier system based on PAH-AM-PEG-ApoE (PAPA) nanoparticles (PAPA/siRNA NPs), which facilitates BBB penetration. In this study, an siRNA nanocarrier delivery system modified with ApoE peptide (PAPA/siRNA NPs) developed by our research team was employed to simultaneously encapsulate BACE1-siRNA and GSK3β-siRNA. The PAPA/siRNA NPs were prepared through self-assembly and electrostatic binding. The particle size distribution profile and zeta potential of the PAPA/siRNA NPs were analysed with dynamic light scattering, while its morphology was examined with transmission electron microscopy. For in vitro assessments, flow cytometry, confocal laser scanning microscopy, PCR, and Western blotting were employed to evaluate the cellular uptake, gene silencing capacity, and endosomal escape. The biodistribution was investigated by in vivo imaging technology, and the therapeutic effect on AD was verified in AD model mice. The prepared PAPA/siRNA NPs exhibited a regular spherical appearance with a uniform particle size distribution profile. In in vitro cell experiments, the PAPA/siRNA NPs demonstrated excellent cellular uptake ability and efficient endosomal escape. Meanwhile, the dual-loaded siRNA nanocarrier delivery system effectively inhibited the expression of GSK3β and BACE1 genes. In vivo experimental results showed that the siRNA could successfully cross the BBB and deliver to the brain. It not only significantly prolonged the half-life of siRNA but also greatly reduced the generation of pathological β-amyloid and phosphorylated microtubule-associated protein tau, showing excellent therapeutic effects in the treatment of AD. In this study, we successfully constructed a brain-targeted siRNA nanocarrier delivery system for double-gene knockdown. This system can efficiently overcome the obstacle of the BBB, markedly alleviating cognitive and memory deficits in AD mice. It paves the way for novel strategies in the clinical treatment of AD and is expected to bring new breakthroughs and changes to the conquest of this disease. Show less
no PDF DOI: 10.1111/1440-1681.70108
APOE

Chronic theobromine administration attenuates short-term memory decline via neurotrophic, anti-inflammatory and antioxidant mechanisms in senescence-accelerated mouse prone 8 (SAMP8).

Eri Sumiyoshi, Kentaro Matsuzaki, Masanori Katakura +7 more · 2026 · The Journal of nutritional biochemistry · Elsevier · added 2026-04-24
Aging-related cognitive decline is a major concern in aging societies. Theobromine (TB), a cacao-derived methylxanthine, exerts neuroprotective effects through anti-inflammatory, antioxidant, and neur Show more
Aging-related cognitive decline is a major concern in aging societies. Theobromine (TB), a cacao-derived methylxanthine, exerts neuroprotective effects through anti-inflammatory, antioxidant, and neurotrophic mechanisms; however, its efficacy in aging models remains unclear. This study investigated the mechanisms underlying neuroprotective effects of chronic TB administration in senescence-accelerated mouse prone 8 (SAMP8), a model of age-related memory impairment. SAMP8 and SAMR1 mice were fed either a control diet or a diet supplemented with 0.05% TB for 50 d. Cognitive performance was evaluated by the novel object recognition (NOR) test. Neurotrophic factors (BDNF and NT-3), synaptic proteins (PSD95 and synaptophysin), and plasticity-related signaling molecules (phosphorylated CREB and TrkB) were analyzed in the prefrontal cortex and hippocampus. Inflammatory cytokines, lipid peroxides, and antioxidant enzymes were quantified. Molecular docking was used to assess TB's interaction with phosphodiesterase (PDE) enzymes. TB improved short-term memory in SAMP8, increasing discrimination index in the NOR test. This was accompanied by increased BDNF, NT-3, PSD95, and synaptophysin levels and enhanced CREB and TrkB phosphorylation. Furthermore, TB lowered the levels of pro-inflammatory cytokines (IL-1β, TNF-α) and phosphorylated NF-κB, reduced lipid peroxidation, and increased the levels of antioxidant markers (HO-1, GSH). These effects were minimal in SAMR1. No adverse effects on body weight or blood parameters were observed. Molecular docking indicated that TB binds to PDE enzymes with weaker inhibitory activity than selective inhibitors. TB enhances short-term memory and synaptic function in aged mice via neurotrophic, antioxidant, and anti-inflammatory mechanisms, supporting its potential as a safe dietary intervention for age-related cognitive decline. Show less
no PDF DOI: 10.1016/j.jnutbio.2025.110258
BDNF aging anti-inflammatory antioxidant cognitive decline methylxanthine neuroprotective neurotrophic

Multi-omics and network pharmacology reveal the mechanisms of Scutellaria barbata D.Don and Scleromitrion diffusum (Willd.) R.J.Wang against pancreatic cancer.

Zhihao Zhao, Yutong Yang, Liu Zhang +12 more · 2026 · Scientific reports · Nature · added 2026-04-24
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don Show more
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don and Scleromitrion diffusum (Willd.) R.J. Wang (SB-SD) exhibit diverse biological activities, such as anti-inflammatory, antioxidant, and antitumor effects, though their precise regulatory mechanisms are not fully elucidated. Here, we treated PC cells with SB-SD to assess its impact on cell viability, apoptosis, migration, and cell cycle progression, while Western blotting analyzed the expression of HSP90AA1, MAPK3, p53, CDK1, and p21. We also established a pancreatic cancer xenograft model in nude mice to evaluate the in vivo inhibitory effect of SB-SD on tumor growth. Furthermore, we employed metagenomic sequencing, untargeted metabolomics, and quantitative proteomics to comprehensively profile changes in the gut microbiota, serum metabolites, and differentially expressed proteins, with Western blotting subsequently validating BCKDK, GATM and p53 expression. The results show that SB-SD significantly inhibited PC cell proliferation, promoted apoptosis, and induced S/G2 phase cell cycle arrest, potentially via modulation of the HSP90AA1/MAPK3 signaling pathway. Measurements of tumor volume and weight, complemented by histopathological analysis, confirmed that SB-SD effectively suppressed the growth of PANC-1 xenograft tumors. Integrated multi-omics analyses suggest that the antitumor effects of SB-SD may involve the modulation of key gut microbes like Bacteroides caccae and Lactobacillus, the promotion of choline metabolism, and the regulation of BCKDK and GATM. Together, these findings not only corroborate the direct antitumor activity of SB-SD against pancreatic cancer but also offer novel mechanistic insights by constructing a microbiota-metabolite-protein interaction network. Show less
📄 PDF DOI: 10.1038/s41598-026-45676-x
BCKDK

NPC1L1, stabilized by PABPC1/IGF2BP1, accelerates atherosclerosis by enhancing CYP11A1-mediated mitophagy and ferroptosis.

Guoan Zhang, Baoguo Song, Xiaoyan Huang +1 more · 2026 · Inflammation research : official journal of the European Histamine Research Society ... [et al.] · Springer · added 2026-04-24
In our previous study, we identified Niemann-Pick C1 like intracellular cholesterol transporter 1 (NPC1L1) as a key contributor in lipid oxidative stress during atherosclerosis (AS) progression. Howev Show more
In our previous study, we identified Niemann-Pick C1 like intracellular cholesterol transporter 1 (NPC1L1) as a key contributor in lipid oxidative stress during atherosclerosis (AS) progression. However, the regulation mode of its expression and the specific approaches by which it functions in lipid oxidative stress are still unclear. HUVECs and macrophages were treated with oxidized low-density lipoprotein (ox-LDL) to induce endothelial cell injury. First, the effects of the RNA binding proteins IGF2BP1 and poly (A) binding protein cytoplasmic 1 (PABPC1) on the stability of NPC1L1 mRNA was evaluated. The interaction between NPC1L1 and cytochrome P450 family 11 subfamily A member 1 (CYP11A1) was analyzed using Co-IP, and the co-localization of the two was detected using immunofluorescence. Combined with qPCR, Western blotting, CCK8, ferroptosis-related index and mitophagy-related index determination were performed to evaluate the expression of CYP11A1 in ox-LDL-treated HUVECs and its role of ferroptosis and mitophagy. Subsequently, pcDNA-NPC1L1 or CYP11A1 siRNA were individually or altogether transfected into ox-LDL-treated HUVECs to verify the involvement of CYP11A1 in NPC1L1-mediated ferroptosis and mitochondrial oxidative stress. Finally, ApoE-/- mice were fed with high-fat diet to establish an AS model in vivo and sh-NPC1L1 and/or Ad-CYP11A1 were injected via tail vein to verify the therapeutic effect of NPC1L1 knockdown on AS and reversal effect of CYP11A1. Either knockdown of IGF2BP1 or PABPC1 reduced NPC1L1 mRNA stability. Mechanistically, NPC1L1 interacted with CYP11A1 and promoted CYP11A1 protein expression. CYP11A1 was upregulated in ox-LDL-treated HUVECs and overexpression of CYP11A1 induced ferroptosis by activating excessive mitophagy, and knockdown of CYP11A1 reversed the promotion of NPC1L1 on mitophagy and ferroptosis in ox-LDL treated HUVECs. In vivo, injection of the sh-NPC1L1 lentiviral vector inhibited AS progression, while injection of the LV-CYP11A1 lentiviral vector attenuated the protective effect of sh-NPC1L1 on AS. PABPC1 and IGF2BP1 synergistically stabilized NPC1L1 mRNA, and NPC1L1 interacted with CYP11A1 to induce endothelial mitophagy and ferroptosis during AS. Show less
📄 PDF DOI: 10.1007/s00011-026-02229-2
APOE

Metabolic Adaptation and Pulmonary ceRNA Network Plasticity in

Yongling Jin, Rong Zhang, Xin Li +7 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. Howev Show more
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. However, adaptive changes in respiratory metabolism and molecular mechanisms in lung tissues of small mammals under extreme water shortage conditions remain unclear. This study hypothesized that small desert mammals can adapt to extreme water shortage environments by regulating the plasticity of lung tissue gene expression and respiratory metabolism. Using 29 wild-caught Siberian jerboas ( Show less
📄 PDF DOI: 10.3390/ijms27031458
APOA4

Potential profile and influencing factors of feedback-seeking behavior among nursing interns during the early stages of internships: a multicenter cross-sectional study.

Chuqin Xiong, Shuge Wang, Peiran Guo +6 more · 2026 · Frontiers in medicine · Frontiers · added 2026-04-24
Nursing interns often face maladjustment during the early stages of clinical practice, which not only directly affects their physical and mental health as well as work efficiency but also significantl Show more
Nursing interns often face maladjustment during the early stages of clinical practice, which not only directly affects their physical and mental health as well as work efficiency but also significantly inhibits their proactive feedback-seeking behavior (FSB). As an active self-regulation strategy, FSB can enhance interns' work initiative and promote role transition. However, existing research has yet to thoroughly investigate the potential heterogeneity and categorical characteristics of FSB within this population, and the role of psychological resources such as career adaptability in shaping these patterns requires further investigation. To investigate the status of FSB in early-stage nursing interns, identify latent subgroups via latent profile analysis (LPA), and analyze associated factors, thereby providing evidence for targeted clinical educational interventions. Multicenter cross-sectional research. This study employed a multistage stratified cluster sampling to survey 1,308 early-stage nursing interns from nine universities in Hubei, China, between June and September 2024. Data were collected using a demographic questionnaire, Feedback-Seeking Behavior Scale, and Career Adapt-Abilities Scale. LPA was employed to delineate FSB profiles and multivariate logistic regression analysis to examine the associated predictors. A total of 1,370 questionnaires were distributed, with 1,308 valid responses, yielding an effective response rate of 95.47%. The mean score on the feedback-seeking behavior scale was 5.06 ± 1.08. LPA identified three distinct feedback-seeking profiles: low (20.87%), moderate (38.3%), and high (40.83%). Education level, student cadre experience, internship hospital type, and career adaptability were significant predictors of profile membership ( FSB among early-stage nursing interns exhibited heterogeneity. Nursing educators and managers should implement tiered interventions: for the low and moderate feedback-seeking groups, career guidance and feedback awareness cultivation should be strengthened; for the high feedback-seeking group, peer modeling should be encouraged. This strategy can enhance proactive FSB, supports role transition and professional identity, and promotes long-term nursing workforce stability. Show less
📄 PDF DOI: 10.3389/fmed.2026.1664329
LPA