👤 Ximei 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 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, 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
Tingting Liu, Mengdi Zhang, Jianshe Wei · 2026 · Experimental neurology · Elsevier · added 2026-04-24
Pulmonary fibrosis is a common and life-threatening complication of Parkinson's disease (PD), yet the molecular mechanisms linking the two diseases remain unclear, creating a critical gap in targeted Show more
Pulmonary fibrosis is a common and life-threatening complication of Parkinson's disease (PD), yet the molecular mechanisms linking the two diseases remain unclear, creating a critical gap in targeted therapeutic strategies for comorbid patients. Angiotensin-converting enzyme 2 (ACE2) plays a key role in neuroprotection and lung homeostasis; its deficiency exacerbates PD-related neuroinflammation and α-synuclein aggregation, while also promoting pulmonary inflammation and fibrotic remodeling. Clarifying how ACE2 deficiency drives PD-exacerbated pulmonary fibrosis is therefore an urgent unmet need. This study explored the underlying mechanisms using MPTP-induced PD mouse models and bioinformatics analyses of PD/idiopathic pulmonary fibrosis (IPF) datasets from the GEO database. In MPTP-induced PD mice, ACE2 deficiency significantly worsened motor/non-motor dysfunction, dopaminergic neuron loss, microglial/astrocytic activation, and lung fibrosis (evidenced by elevated α-SMA/TGF-β and increased collagen deposition). Bioinformatics identified 41 overlapping differentially expressed genes (DEGs) between PD and IPF, enriched in critical pathways: downregulated FoxO1 (impairing antioxidant defense) and upregulated TNF, JAK1-STAT3, and AGE-RAGE (amplifying inflammation/fibrosis). ROC analysis validated hub genes (e.g., BDNF, FOSL2) with good diagnostic value (AUC > 0.7), and molecular docking identified Smilagenin, Fostamatinib, Olopatadine, and Amlexanox as potential therapeutics. This study confirms ACE2 deficiency is a central driver of PD-exacerbated pulmonary fibrosis via the FoxO1/TNF/JAK1-STAT3/AGE-RAGE pathways, providing novel biomarkers and drug candidates to address the clinical need for managing this comorbidity. Show less
no PDF DOI: 10.1016/j.expneurol.2026.115744
BDNF ace2 fibrotic remodeling lung homeostasis neuroinflammation neuroprotection parkinson's disease pulmonary fibrosis
Jingran Yang, Fang Ma, Yu Wang +7 more · 2026 · BMC public health · BioMed Central · added 2026-04-24
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, e Show more
Parents of children with congenital heart disease (CHD) face chronic stress impairing family functioning and well-being. As a key protective factor, family resilience aids their adaptation. However, existing research predominantly measures general family resilience, neglecting heterogeneous resilience patterns and subgroup profiles. Our study uses person-centered Latent Profile Analysis (LPA) to identify latent family resilience classes in Chinese culture to provide tailored support. This study adopted a cross-sectional survey design. From October 2024 to July 2025, convenience sampling was used to recruit 426 eligible parents of children with CHD from two tertiary hospitals in Yunnan Province, China. Data were collected using the General Information Questionnaire, Family Hardiness Index (FHI), Simplified Coping Style Questionnaire (SCSQ), and Social Support Rating Scale (SSRS). LPA was applied to classify the family resilience levels of these parents. Subsequently, univariate and multivariate ordinal logistic regression analyses were conducted to explore the factors associated with different latent classes of family resilience. A total of 400 valid questionnaires were collected, with an effective response rate of 93.9%. The mean total score for family resilience in parents of children with CHD was 58.13 ± 5.79, suggesting a moderate overall level of family resilience in this group. The family resilience of parents of children with CHD was classified into three latent profiles: “High family resilience responsibility-anchored type” ( Parents of children with CHD demonstrate heterogeneity in family resilience. Healthcare professionals should pay attention to the family resilience differences among parents of children with CHD and implement targeted intervention measures based on the characteristics of different subgroups, thereby enhancing parents’ family resilience and further promoting family well-being. The online version contains supplementary material available at 10.1186/s12889-025-26143-0. Show less
📄 PDF DOI: 10.1186/s12889-025-26143-0
LPA
Yingying Wei, Lintao Wang, Chao Zhang +4 more · 2026 · Lipids in health and disease · BioMed Central · added 2026-04-24
Apolipoprotein B (apoB) is a well-known risk factor for atherosclerosis. However, studies examining its relation to atrial fibrillation (AF) have produced conflicting results and suggested possible se Show more
Apolipoprotein B (apoB) is a well-known risk factor for atherosclerosis. However, studies examining its relation to atrial fibrillation (AF) have produced conflicting results and suggested possible sex-specific differences. This study investigated the sex-specific associations between serum apoB concentrations and incident AF and offer insight into the inconsistencies in previous research. A prospective analysis of 26,803 participants without pre-existing AF was performed using data from the Malmö Diet and Cancer Study. Sex-specific associations between apoB and AF were assessed using multivariable Cox proportional hazards models. To ensure the robustness of the results, several sensitivity analyses, such as restricted cubic spline modeling, competing risks regression, alternative adjustment strategies, subgroup analyses, follow-up time restrictions, and multiple imputation for missing data, were conducted. For median follow-up periods of 21.2 and 24.8 years in men and women, respectively, 2,768 and 2,968 incident cases of AF were recorded, respectively. Among women, unadjusted models showed a strong positive association between apoB and AF, with the highest versus lowest quartile showing a hazard ratio (HR) of 1.65 (95% confidence interval [CI] 1.49–1.84; Results show sex-specific observational links between apoB concentrations and risk of AF. In women, higher apoB levels were linearly inversely associated with AF, whereas in men, the association was borderline non-linear, with inverse effects seen mainly at lower apoB concentrations. These sex differences in AF susceptibility may partly reflect underlying atrial electrophysiological variations and hormonal influences, though whether these factors directly mediate the apoB-AF association remains speculative. The online version contains supplementary material available at 10.1186/s12944-026-02905-6. Show less
📄 PDF DOI: 10.1186/s12944-026-02905-6
APOB
Qiushan Tao, Ting Fang Alvin Ang, Jinghan Huang +8 more · 2026 · Health science reports · Wiley · added 2026-04-24
Apolipoprotein E (APOE) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are both lipid proteins and related to immunity/inflammation. We hypothesized that PCSK9 impacts on Alzheimer's diseas Show more
Apolipoprotein E (APOE) and proprotein convertase subtilisin/kexin type 9 (PCSK9) are both lipid proteins and related to immunity/inflammation. We hypothesized that PCSK9 impacts on Alzheimer's disease (AD) risk in an We used the Framingham Heart Study (FHS) Offspring cohort (Gen 2), with data on plasma PCSK9 protein concentration, as the baseline exposure for 1,704 study subjects. Using Cox regression models, the outcomes were incidents of AD or all-cause dementia. Using another FHS dataset with 3,048 individuals with genetic data, we examined the association between PCSK9 genotypes and the incidence of AD/dementia, stratifying the analysis based on Higher plasma PCSK9 protein levels were associated with a lower risk of AD (HR [95%CI]: 0.74 [0.58, 0.94]; Our study suggests that high blood PCSK9 levels are protective against AD risk in Show less
📄 PDF DOI: 10.1002/hsr2.71810
APOE
Yiren Zhang, Wei Zeng, Yuanfa Liu +1 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Pine nut oil (PNO) is a candidate alternative to corn oil (CO) owing to comparable unsaturated fatty-acid profiles and enrichment in pinolenic acid (Δ5-18:3) and lipid-soluble micronutrients. We syste Show more
Pine nut oil (PNO) is a candidate alternative to corn oil (CO) owing to comparable unsaturated fatty-acid profiles and enrichment in pinolenic acid (Δ5-18:3) and lipid-soluble micronutrients. We systematically compared extraction routes (solvent, supercritical CO₂, pressing), established solvent extraction as the optimal balance of yield and bioactive retention, and then characterized solvent-extracted oils from eight provenances using a weighted composite score to nominate Pinus tabuliformis for in vivo testing. In diet-induced obese mice (12-week Western diet, then 12-week intervention, n = 10 per group), replacing CO with PNO lowered body-mass gain and liver weight and improved serum lipids (triglycerides ↓ ∼ 28 %, total cholesterol ↓ ∼ 15 %, LDL-C ↓ ∼ 20 %) without affecting HDL-C or glucose; ALT and AST fell by ∼30 %, indicating hepatoprotection. Hepatic multi-omics revealed coherent remodeling toward PUFA-rich phospholipid species, activation of PPAR-centered peroxisomal/mitochondrial fatty-acid degradation and circadian pathways, and integrative correlations implicating Cyp4a10/14, Ehhadh, Slc27a2, Fgf21, Angptl4, and Plin5. Collectively, PNO reoriented hepatic lipid flux toward oxidation and membrane remodeling, supporting its development as a nutritionally advantaged culinary oil. Show less
no PDF DOI: 10.1016/j.foodres.2025.118175
ANGPTL4
Biao Hu, Tiantian Mou, Jingqi Wang +7 more · 2026 · Molecular pharmaceutics · ACS Publications · added 2026-04-24
Purinergic receptor P2X7 has been considered as a potential new target for detecting and treating high-risk plaque. Nanobodies are the smallest antibody fragments with high antigen binding ability and Show more
Purinergic receptor P2X7 has been considered as a potential new target for detecting and treating high-risk plaque. Nanobodies are the smallest antibody fragments with high antigen binding ability and specificity, which are well-suited for radionuclide imaging. The present study aimed to develop a novel P2X7-targeted nanobody SPECT tracer and to investigate its potential for identification of atherosclerotic plaque (AP). The anti-P2X7 nanobody 1c81 was site-specifically conjugated with [ Show less
no PDF DOI: 10.1021/acs.molpharmaceut.5c01207
APOE
Cailing Liu, Yueyuan He, Xue Yang +5 more · 2026 · International journal of women's health · added 2026-04-24
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it exp Show more
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it explored the factors influencing childbirth readiness in order to guide targeted interventions for improved maternal and neonatal outcomes. A cross-sectional study was conducted among women in their third trimester of pregnancy between May and November 2024. Eligible participants completed a general information questionnaire, the Childbirth Readiness Scale (CRS), the Childbirth Attitude Questionnaire (CAQ), and the Perceived Social Support Scale (PSSS). LPA identified three groups with distinct childbirth readiness levels: "Low Readiness - Childbirth Knowledge Deficit" (37.9%), "Moderate Readiness - Good Lifestyle Habits" (47.9%), and "High Readiness - Rich Health Knowledge" (14.2%). In addition, gestational age, previous childbirth history, adverse pregnancy outcomes, childbirth attitudes, and social support had different influences on women in different latent profiles of childbirth readiness. There was significant heterogeneity in childbirth readiness among women in their third trimester. Women with lower readiness-especially in childbirth knowledge-would greatly benefit from targeted educational programs, whereas those with moderate readiness levels would find enhanced emotional and psychological support most advantageous. These findings support the implementation of profile-based, personalized prenatal care strategies to improve childbirth preparedness and optimize maternal and neonatal outcomes. Show less
📄 PDF DOI: 10.2147/IJWH.S574855
LPA
Haoyang Sun, Zhaoxu Lu, Jin Guo +10 more · 2026 · Child: care, health and development · Blackwell Publishing · added 2026-04-24
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24 Show more
Speed capability is critical for early childhood development, but troubling patterns are emerging in the motor fitness of Chinese preschoolers (3-6 years). This study investigated how compositional 24-h movement behaviours (sleep, sedentary behaviour [SB], light physical activity [LPA] and moderate-to-vigorous physical activity [MVPA]) relate to speed capability. Via compositional data analysis and isotemporal substitution modelling, we assessed relationships between 24-h movement behaviours (sleep, SB, LPA and MVPA) and speed capability in 275 preschoolers (mean age 4.98 ± 0.76 years). Participants completed 20-m sprint tests and 7-day accelerometry. Time-reallocation effects were quantified through pairwise behavioural substitutions (5- to 30-min durations), with all models adjusted for age, sex and BMI z scores (z-BMI). Higher relative MVPA time significantly predicted faster sprint times (β = -1.302, p < 0.001), while higher LPA predicted slower times (β = 1.570, p = 0.003). Reallocating 15 min from sleep, SB or LPA to MVPA reduced sprint times by 0.176, 0.201 and 0.385 s, respectively (all p < 0.05). Conversely, reallocating MVPA to other behaviours worsened performance. The effects exhibited asymmetry: displacing time away from MVPA impaired speed capability to a greater extent than equivalent gains in MVPA time improved it. MVPA is the strongest positive predictor of speed capability in preschoolers. Optimizing 24-h movement patterns by reallocating time from LPA or SB to MVPA is associated with enhanced speed performance, supporting targeted interventions for early childhood development. Show less
no PDF DOI: 10.1111/cch.70218
LPA
Hui Song, Qiang Geng, Yaowen Xu +6 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
To evaluate the predictive value of novel lipid parameters for coronary lesion severity in pCAD and to develop a nomogram-based prediction model. Patients newly diagnosed with pCAD at Qingdao Municipa Show more
To evaluate the predictive value of novel lipid parameters for coronary lesion severity in pCAD and to develop a nomogram-based prediction model. Patients newly diagnosed with pCAD at Qingdao Municipal Hospital (2021-2024) were enrolled and randomly assigned to training and validation cohorts in a 7:3 ratio. Coronary lesion severity was assessed using the Gensini score (GS), with patients stratified into mild or significant stenosis groups. Spearman correlation analysis was performed between GS and lipid parameters. Key predictors were selected using LASSO regression, and independent risk factors were identified by multivariable logistic regression to construct the nomogram model. The model's discrimination, calibration, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Lp(a), non-HDL-C, RC, FFA, and BAR were positively correlated with GS (r = 0.34, 0.34, 0.18, 0.19, 0.18; all The proposed nomogram provides an effective tool for identifying pCAD patients with severe coronary artery stenosis, demonstrating robust predictive accuracy and potential clinical utility. Show less
📄 PDF DOI: 10.3389/fcvm.2026.1745711
LPA
Simone Hjæresen, Emilie Trommer Gramkow, Mengliang Zhang +1 more · 2026 · Progress in neurobiology · Elsevier · added 2026-04-24
High temperature requirement protein A1 (HTRA1) is a trypsin-like serine protease increasingly recognized as a central regulator of brain homeostasis. HTRA1 is broadly expressed in the brain, where it Show more
High temperature requirement protein A1 (HTRA1) is a trypsin-like serine protease increasingly recognized as a central regulator of brain homeostasis. HTRA1 is broadly expressed in the brain, where it regulates proteostasis, extracellular matrix (ECM) remodeling, and important signaling pathways such as TGF-β, Wnt, and Notch. These functions are essential for maintaining blood-brain barrier integrity, supporting tissue repair, and restraining inflammation. HTRA1 is a double-edged sword, as both insufficient and excessive activity can lead to neurodegenerative and vascular pathology. Reduced HTRA1 levels are linked to ECM accumulation and vascular fibrosis, while elevated activity contributes to tissue breakdown, inflammation, and impaired repair. This dual role is implicated in a range of disorders, including cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy, small vessel disease, age-related macular degeneration, Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We review recent insights into HTRA1's interactions with ApoE and tau, its roles in lipid and cytoskeletal regulation, and its modulation by inhibitors such as Macrophage Migration Inhibitory Factor. Finally, we explore its biomarker potential and therapeutic targeting strategies. Understanding the mechanisms behind HTRA1's shift from protective to pathological is crucial for developing targeted therapies that preserve its beneficial roles. Show less
no PDF DOI: 10.1016/j.pneurobio.2026.102914
APOE
Hui Kan, Ziying Jiang, Menglan Chen +8 more · 2026 · Environmental pollution (Barking, Essex : 1987) · Elsevier · added 2026-04-24
Growing evidence implicates accelerated biological aging in environmentally induced psychiatric disorders, yet its role in metal-associated depression remains unclear. Using NHANES data, we evaluated Show more
Growing evidence implicates accelerated biological aging in environmentally induced psychiatric disorders, yet its role in metal-associated depression remains unclear. Using NHANES data, we evaluated associations between heavy metal mixtures and depression. Bidirectional mediation analysis was used to assess reciprocal pathways linking heavy metals, biological aging, and depression. Simultaneously, candidate genes linking heavy metal exposure to depression and biological aging were identified by mining the Comparative Toxicogenomics Database, analyzing differentially expressed genes (DEGs) from the Gene Expression Omnibus, and integrating the resulting evidence within a toxicogenomic framework to explore potential molecular mechanisms. The prevalence of depression among participants was 8.66 %. Metal mixtures significantly increased depression risk. Notably, cadmium and antimony increased the risk of depression (OR: 1.52, 95 % CI: 1.19, 1.94 and OR: 1.54, 95 % CI: 1.22, 1.93). Both metals have low thresholds (0.227 μg/L and 0.053 μg/L, respectively). Additionally, lead, cobalt, and molybdenum showed positive associations in specific models. Although population-level exposure to heavy metals declined from 1999 to 2020, concentrations remained sufficient to elevate depression risk. Our correlation analysis also identified a strong correlation between PhenoAge and chronological age (r = 0.84, P < 0.001). Mechanistically, we found that accelerated PhenoAge partially mediated the associations of several metals with depression risk, including monomethylarsonic acid (β = 0.004; 95 %CI: 0.003,0.006), cadmium (β = 0.006; 95 %CI: 0.003, 0.010), lead (β = 0.009; 95 %CI: 0.006, 0.011), cobalt (β = 0.010; 95 %CI: 0.006, 0.013), molybdenum (β = 0.009; 95 %CI: 0.006, 0.011), and antimony (β = 0.008; 95 %CI: 0.005, 0.011). Pathway analysis and DEGs implicated the contribution of neurodegeneration-multiple diseases pathway, with core molecular targets centering on BDNF, IL6, GSK3B, PTGS2, and SOD1. These findings, which imply biological aging as a potential link between metal exposure and depression, call for revised safety thresholds and pinpoint molecular targets for intervention. Show less
no PDF DOI: 10.1016/j.envpol.2025.127611
BDNF aging biological aging depression exposure genetics heavy metal multi-omics
Rong Ji, Haicheng Hu, Yitian Zhang +5 more · 2026 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
Naringenin (NGN), a flavonoid widely utilized in agricultural and pharmaceutical applications, has increasingly become a source of environmental concern. This study systematically evaluated the develo Show more
Naringenin (NGN), a flavonoid widely utilized in agricultural and pharmaceutical applications, has increasingly become a source of environmental concern. This study systematically evaluated the developmental toxicity of NGN in zebrafish embryos. Our results showed that NGN exposure caused dose-dependent increases in embryonic mortality and induced a range of developmental malformations, including reduced body length, impaired eye and ear development, and cardiac dysfunction. Behavioral analyses revealed significant deficits in locomotor activity and sensory responses at concentrations of 5 and 10 mg/L. Molecular assessments via RT-qPCR demonstrated that NGN disrupted the expression of multiple genes critical for cardiac (kcnh2a, kcnh2b, hand2, has2, myh7, tnnt2a), otic (col2a1a, sox9a, sox9b), liver (hhex, leg1.1), visual (gnat1, gnat2), apoptotic (bax, casp9, casp3), and neurodevelopmental (pomca, bdnf, gfap, mbpa, s100b) pathways. Notably, NGN at 10 mg/L inhibited apoptosis and altered liver function, whereas a concentration of 15 mg/L promoted apoptosis, and these results suggest that NGN may interfere with the developmental processes of zebrafish embryos through different mechanisms at low and high concentrations, exhibiting a non-monotonic dose-response relationship. These findings highlight the potential ecological hazards of NGN contamination in aquatic environments, emphasizing the need for stricter management and further research into its long-term and combined effects with other pollutants. Our research offers new perspectives into the molecular and phenotypic mechanisms of NGN toxicity and underscores the importance of comprehensive risk assessment for emerging environmental contaminants. Show less
no PDF DOI: 10.1016/j.ecoenv.2026.120131
BDNF cardiotoxicity developmental toxicity embryo development environmental concern flavonoid naringenin zebrafish
David Lukacsovich, Juan I Young, Lissette Gomez +8 more · 2026 · Research square · added 2026-04-24
Cognitive reserve (CR) refers to differences in the adaptability of cognitive processes that modify the impact of Alzheimer's disease (AD) pathology on cognitive performance. Currently there are no es Show more
Cognitive reserve (CR) refers to differences in the adaptability of cognitive processes that modify the impact of Alzheimer's disease (AD) pathology on cognitive performance. Currently there are no established blood-based biomarkers of CR in prodromal AD. In this study, we operationalize CR as memory reserve, defined as moderation (attenuation) of the CSF pTau181-memory association. DNA methylation (DNAm) integrates genetic and environmental influences and may capture biological processes that mitigate the impact of AD pathology on memory. We aimed to identify blood DNAm loci that moderate the association between cerebrospinal fluid (CSF) phosphorylated tau (pTau181) and memory in mild cognitive impairment (MCI). We also sought to determine if a DNAm-based signature of memory reserve predicts future memory decline. We analyzed 92 amyloid positive MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) with blood DNAm, CSF pTau181, and memory scores (PHC_MEM) collected at the same visit. We first regressed memory scores on covariates (age, sex, number of After removing CpGs with low variability, we identified 6 CpGs with suggestive significance for DNAm×pTau181 interaction ( Blood DNAm patterns that moderate the pTau-memory relationship capture biology underlying memory reserve involving synaptic, vascular, immune, and metabolic pathways, and can be summarized into an MRS that predicts longitudinal memory trajectories in MCI. These findings support blood DNAm as a promising, non-invasive biomarker of cognitive resilience to AD pathology. Show less
📄 PDF DOI: 10.21203/rs.3.rs-8369919/v1
APOE
Kai SUN, Le Qi, Hao Zhang +2 more · 2026 · Journal of neuroscience research · Wiley · added 2026-04-24
Recent evidence has shown that bone marrow mesenchymal stem cells (BMSCs) have multiple biological applications and play an important role in improving cognitive dysfunction. However, it is still uncl Show more
Recent evidence has shown that bone marrow mesenchymal stem cells (BMSCs) have multiple biological applications and play an important role in improving cognitive dysfunction. However, it is still unclear whether BMSCs play a role in cognitive impairment induced by chronic pain. This study aimed to evaluate the therapeutic effect of BMSCs on neuropathic pain-induced cognitive dysfunction and explore its potential mechanisms. A mouse chronic constriction injury (CCI) model was established, and the new object recognition task and fear conditioning were used to detect cognitive function; the expression of CXCL12/CXCR4 in blood and hippocampus was detected. After intravenous injection of BMSCs, changes in cognitive function and expression of the CXCL12/CXCR4 pathway, dentate gyrus neurogenesis, and excitability of hippocampal neurons were detected. In addition, induction of cognitive impairment in normal mice by CXCL12 recombinant protein was used to clarify whether the CXCL12/CXCR4 pathway mediates the cognitive function improvement effect of BMSCs. Our results found CCI mice showed significant cognitive impairment 21 days after surgery, with significantly increased expression of CXCL12/CXCR4 in blood and hippocampus. Intravenous injection of BMSCs significantly improved cognitive function, inhibited expression of CXCL12/CXCR4 in blood and hippocampus, promoted neurogenesis in dentate gyrus of CCI mice, and increased expression of BDNF and c-Fos in the hippocampus. In addition, BMSCs alleviate cognitive impairment induced by intravenous injection of CXCL12 recombinant protein in mice. In summary, BMSCs improve chronic neuropathic pain-induced cognitive dysfunction through peripheral blood CXCL12/CXCR4, and BMSCs may develop into therapeutic targets for chronic pain induced cognitive impairment. Show less
no PDF DOI: 10.1002/jnr.70111
BDNF bone marrow cognitive impairment cxcl12 cxcr4 mesenchymal stem cells neuropathic pain neuroscience
Mingyi Du, Huangbo Yuan, Tianhao Wu +6 more · 2026 · Science advances · Science · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a globally prevalent disease, yet its genetic architecture remains incompletely characterized. We integrated genome-wide association Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a globally prevalent disease, yet its genetic architecture remains incompletely characterized. We integrated genome-wide association study data from multiple cohorts totaling nearly 3 million individuals of European ancestry and applied cross-trait genomic modeling of hepatic fat and seven cardiometabolic traits to construct an MASLD-specific polygenic architecture. We identified 128 risk variants across 100 loci and prioritized 55 effector genes, including established (e.g., Show less
no PDF DOI: 10.1126/sciadv.aeb5665
NRXN3
Yuting Li, Pingchuan Zhang, Jun Guan +8 more · 2026 · Clinical genetics · Blackwell Publishing · added 2026-04-24
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the w Show more
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH. Show less
no PDF DOI: 10.1111/cge.70114
FGFR1
Xinjing Yang, Bingcong Zhao, Jing Li +7 more · 2026 · Journal of traditional and complementary medicine · Elsevier · added 2026-04-24
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. T Show more
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. This study aimed to observe the mechanism of EA as an adjunct therapy to escitalopram oxalate (EO) on depressed patients. This study was designed as a single-blinded, double-dummy randomized controlled trial. 61 participants were diagnosed with mild-to-moderate depression according to the International Classification of Diseases 10th Edition (ICD-10, F32) were randomly allocated to receive EA + EO placebo, EO + sham EA, or EA + EO for six weeks treatment. The clinical assessment including depression severity, quality of life (QOL) and clinical safety. Biological indicators of immune-inflammation, the brain-derived neurotrophic factor and glucocorticoid inducible genes in peripheral blood of participants were measured by using enzyme linked immunosorbent assay and real-time polymerase chain reaction respectively before and after treatment. Three interventions improved the depression severity and QOL (P < 0.05), and no inter-group difference was found in the 6th week (P > 0.05). Anxiety psychic and somatic general symptoms in the EA + EO group were improved significantly than those of the other two groups (P < 0.05). After six-week treatment of EA + EO, blood SGK1 mRNA, GILZ mRNA, and BDNF levels were increased significantly ( Show less
📄 PDF DOI: 10.1016/j.jtcme.2025.02.002
BDNF
Haomin Zhang, Yufeng Rong, Ruirui Ning +3 more · 2026 · The International journal of neuroscience · Taylor & Francis · added 2026-04-24
Press needle therapy, may alleviate depressive-like behaviors. Male rats were randomly allocated into four groups ( Press-needle ameliorated depressive-like behaviors in CUMS-exposed rats, restored bo Show more
Press needle therapy, may alleviate depressive-like behaviors. Male rats were randomly allocated into four groups ( Press-needle ameliorated depressive-like behaviors in CUMS-exposed rats, restored body weight gain and improved behavioral performance. The treatment upregulated the hippocampal BDNF/TrkB/CREB signaling pathway, increasing BDNF, TrkB, CREB, AKT, and PI3K in the hippocampus. The therapy modulated serotonergic neurotransmission by increasing hippocampal 5-HTT expression, while downregulating 5-HT1A and 5-HT2C receptors and PKA. Notably, press-needle exerted anti-neuroinflammatory effects, reducing hippocampal and serum levels of TNF-α and IL-6. Histopathological analysis confirmed its neuroprotective efficacy, demonstrating attenuated neuronal damage in hippocampal tissues. Show less
no PDF DOI: 10.1080/00207454.2026.2643312
BDNF akt bdnf creb hippocampal neurotransmission pi3k serotonergic
Yuan Zhang, Shijie Jian, Haiyan Ouyang +6 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Sleep traits, including sleep apnoea (SA), insomnia, daytime sleepiness, and snoring, frequently co-occur with cardiometabolic diseases (CMDs), with shared genetic factors suspected to underlie these Show more
Sleep traits, including sleep apnoea (SA), insomnia, daytime sleepiness, and snoring, frequently co-occur with cardiometabolic diseases (CMDs), with shared genetic factors suspected to underlie these associations. However, the contribution of shared genetic determinants to these associations is not fully understood. We conducted a genome-wide pleiotropic association study applying sequential genetic methods to identify shared genetic variants, genes, pathways and causal associations between the four sleep traits and seven CMDs, including LDSC, high-definition likelihood analysis, colocalisation, gene-based tests, enrichment analysis and Mendelian randomisation. Next, validation of those pleiotropic variants was performed in individuals from the All of Us and MVP studies. Among 28 pairs of sleep traits and CMDs, 25 showed significant genetic correlations. Pleiotropic analysis identified 754 independent SNPs (691 unique) and 102 colocalized loci (85 unique). Among these, 47 SNPs (44 unique) were validated as significantly associated with both traits in the pairs, and notably, rs429358 (19q13.32, APOE) demonstrated pleiotropic effects across SA, insomnia and type 2 diabetes (T2D). Forty-eight annotated genes were validated by gene-based tests. Shared genes were enriched in phenotypes related to mortality and growth. Pathway analysis highlighted Cushing syndrome, hormone secretion, and cGMP-PKG, Ras and calcium signalling pathways. After adjusting for glycaemic traits and blood pressure, genetically predicted T2D increased risk of SA, sleepiness, and snoring. Conversely, SA was positively associated with heart failure and T2D independently. This study of sleep traits and CMDs reveals shared genetic determinants that may partially explain their epidemiologic association and suggests potential treatment targets. Described in Acknowledgements. Show less
📄 PDF DOI: 10.1016/j.ebiom.2026.106220
APOE
Huarong Shen, Yatong Shi, Jiancheng Xu +7 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
The formation and retrieval of reward memories within the hippocampus are critical mechanisms underlying the development of substance use disorder. Nitrous oxide (N
no PDF DOI: 10.1016/j.intimp.2026.116327
BDNF bdnf hippocampus nitrous oxide nlrp3 substance use disorder
Yuanli Wang, Xinyue Meng, Xinyi Zhang +7 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Low-intensity pulsed ultrasound (LIPUS) shows promising anti-inflammatory and neuroprotective effects for different types of neurological disorders. This study aims to investigate the therapeutic effe Show more
Low-intensity pulsed ultrasound (LIPUS) shows promising anti-inflammatory and neuroprotective effects for different types of neurological disorders. This study aims to investigate the therapeutic effects of LIPUS on LPS-induced depression-like behavior and neuroinflammation and to elucidate the underlying molecular mechanisms. A depressive mouse model is established by intraperitoneal injection of LPS (1.0 mg/kg/day for 7 days). LIPUS is applied to the hippocampal region (30 min/day). Behavioral assessments include the open field test (OFT), forced swim test (FST), and tail suspension test (TST). Molecular analyses, including Western blotting, immunofluorescence, and qPCR, are performed to evaluate the expression of P2X4R, IBA1, inflammatory cytokines (IL-1β, IL-6, TNF-α), BDNF/TrkB signaling pathway, and apoptosis-related proteins (Bax, Bcl-2). The involvement of P2X4R is further examined using ivermectin (IVM), a selective P2X4R agonist. LIPUS significantly alleviates the LPS-induced depression-like behavior, suppresses hippocampal pro-inflammatory cytokine expression, inhibits microglial activation, and reduces neuronal apoptosis. Mechanistically, LIPUS downregulates P2X4R and IBA1, upregulates BDNF protein levels and TrkB phosphorylation, and modulates the Bax and Bcl-2 expression. Co-localization studies confirm that P2X4R is predominantly expressed in microglia, and LIPUS markedly reduces the overlap. Notably, the anti-inflammatory, neuroprotective, and antidepressant effects of LIPUS are significantly attenuated by IVM, highlighting the critical role of P2X4R suppression in mediating therapeutic effects. LIPUS mitigates LPS-induced neuroinflammation, neuronal apoptosis, and depression-like behavior by targeting microglial P2X4R and activating the BDNF/TrkB pathway. The findings provide mechanistic insights and demonstrate that LIPUS is a promising non-pharmacological intervention for depression, underscoring the translational potential of P2X4R as a therapeutic target. Show less
📄 PDF DOI: 10.1002/cns.70786
BDNF
Yue Zhang, Yan Gao, Xin Guan +2 more · 2026 · Cellular and molecular life sciences : CMLS · Springer · added 2026-04-24
Cervical cancer (CC) is the most common gynecological malignancy and is strongly linked to human papillomavirus (HPV) infection. Currently, immune checkpoint blockade therapy has shown limited clinica Show more
Cervical cancer (CC) is the most common gynecological malignancy and is strongly linked to human papillomavirus (HPV) infection. Currently, immune checkpoint blockade therapy has shown limited clinical benefits for CC, highlighting the need to find more effective therapeutic targets. LILRB4, a member of the leukocyte immunoglobulin-like receptor superfamily, is considered a key mediator of cancer immunosuppression. However, its role in the CC immune microenvironment remains unclear. Here, LILRB4 expression was upregulated in CC tissues, and high expression levels were positively associated with advanced disease and immunosuppressive genes in tumors. In an immunocompetent mouse model, LILRB4 expression in CC tumors increased with tumor growth, whereas blocking LILRB4 reduced tumor growth. Flow cytometry analysis revealed that blockade of LILRB4 reduced CD8 Show less
📄 PDF DOI: 10.1007/s00018-026-06121-4
APOE
Yulong Zhang, Xue Han, Fei Jiao +2 more · 2026 · American journal of translational research · added 2026-04-24
To investigate the association between combined vitamin D and N-acetylcysteine (NAC) supplementation and clinical outcomes in patients with generalized anxiety disorder (GAD). This retrospective cohor Show more
To investigate the association between combined vitamin D and N-acetylcysteine (NAC) supplementation and clinical outcomes in patients with generalized anxiety disorder (GAD). This retrospective cohort study included 88 propensity-score-matched patients with GAD from Beidahuang Group Neuropsychiatric Hospital. Based on clinical records, patients were classified into an observation group (vitamin D3 + NAC + usual care) and a control group (usual care only). Anxiety symptoms and cognitive function were assessed using the Beck Anxiety Inventory (BAI), Automatic Thought Questionnaire (ATQ), and Dysfunctional Attitudes Scale (DAS). Serum levels of 25-hydroxyvitamin D [25(OH)D], inflammatory markers [high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6)], oxidative stress parameters [glutathione (GSH), malondialdehyde (MDA), superoxide dismutase (SOD)], and neurochemical markers [brain-derived neurotrophic factor (BDNF), dopamine (DA), Serotonin (5-HT), norepinephrine (NE)] were measured at baseline and week 8. After 8 weeks, both groups showed significant improvements in BAI, ATQ, and DAS scores, with greater reductions in the observation group (all In this retrospective cohort, combined vitamin D and NAC supplementation was associated with significantly greater improvements in anxiety symptoms, cognitive patterns, and relevant metabolic biomarkers in patients with GAD compared to usual care alone, supporting its potential as an adjunctive therapy. Show less
📄 PDF DOI: 10.62347/XTYG7368
BDNF anxiety biomarkers cognition generalized anxiety disorder n-acetylcysteine neuropsychiatry vitamin d
Jian Liu, Yeqing Liu, Changtie Liu +9 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Visceral pain is frequently accompanied by depression, a comorbidity involving central neuroinflammation and abnormal neuronal plasticity. The P2X7 receptor (P2X7R) plays a crucial role in neuroinflam Show more
Visceral pain is frequently accompanied by depression, a comorbidity involving central neuroinflammation and abnormal neuronal plasticity. The P2X7 receptor (P2X7R) plays a crucial role in neuroinflammation and pyroptosis, while Jujuboside A (JuA), a major saponin extracted from Ziziphus jujuba seeds, has been reported to exert significant antidepressant and analgesic effects. In this study, we systematically evaluated the regulatory effects of JuA on the P2X7R-brain-derived neurotrophic factor (BDNF) pathway and on pyroptosis and apoptosis using a rat model of colorectal distension (CRD) and primary neuron/astrocyte cultures. JuA markedly alleviated visceral hypersensitivity and depressive-like behaviors in CRD rats and reduced P2X7R expression in both the spinal cord (SC) and hippocampus (HPC). Further investigations in vitro revealed that JuA inhibited excessive P2X7R activation in SC astrocytes, thereby decreasing the expression of NLRP3, Caspase-1, GSDMD, IL-1β and TNF-α, indicating suppression of pyroptosis. Similarly, JuA exerted an anti-pyroptotic effect in HPC astrocytes and inhibited neuronal apoptosis by reducing Caspase-3 and Bax levels while increasing Bcl2 expression, leading to upregulation of HPC BDNF. Collectively, JuA targets P2X7R and suppresses downstream pyroptotic and apoptotic signaling in vitro, which may contribute to its neuroprotective effects. These findings provide experimental evidence supporting the potential of JuA as a therapeutic agent for comorbid visceral pain and depression. Show less
no PDF DOI: 10.1016/j.phymed.2026.157764
BDNF bdnf depression neuroinflammation neuroplasticity p2x7r pyroptosis visceral pain
Meijia Li, Ying Wang, Zixia Liang +8 more · 2026 · Pharmaceuticals (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ph19030390
BDNF
Shuyun Yu, Yi Fan, Bochao You +4 more · 2026 · Biology · MDPI · added 2026-04-24
The global aging population has led to a rising prevalence of cognitive impairment, posing a significant public health challenge. Resistance training (RT) is a non-pharmacological intervention that ha Show more
The global aging population has led to a rising prevalence of cognitive impairment, posing a significant public health challenge. Resistance training (RT) is a non-pharmacological intervention that has been increasingly investigated for its potential to support cognitive function in older adults. Clinical evidence suggests that RT may be associated with benefits in certain cognitive domains, including memory, executive function, processing speed, and visuospatial ability. However, findings across studies remain heterogeneous, with several trials reporting neutral outcomes. Most intervention studies involve structured RT programs conducted at moderate to high intensity and performed multiple times per week. However, optimal training parameters have not yet been clearly established due to variability in study design and the absence of formal dose-response analyses. Emerging evidence suggests that the cognitive effects of RT may be mediated, at least in part, through muscle-brain axis signaling involving exercise-induced myokines. Factors such as irisin, brain-derived neurotrophic factor, interleukin-6, interleukin-15, and insulin-like growth factor-1 have been implicated in processes related to neuroplasticity, neuroinflammatory regulation, and neurovascular function, primarily based on preclinical and translational research. This review synthesizes current evidence on RT-related molecular mechanisms and clinical findings to provide an integrative perspective on the potential role of resistance training in mitigating age-related cognitive decline. Show less
📄 PDF DOI: 10.3390/biology15020154
BDNF
Lijuan Lyu, Chunyu Kao, Jin Su +5 more · 2026 · Lipids in health and disease · BioMed Central · added 2026-04-24
Residual cardiovascular risk persists in type 2 diabetes mellitus (T2DM) despite intensive risk-factor management. Apolipoprotein B (apoB) and excess apoB are potentially promising biomarkers for iden Show more
Residual cardiovascular risk persists in type 2 diabetes mellitus (T2DM) despite intensive risk-factor management. Apolipoprotein B (apoB) and excess apoB are potentially promising biomarkers for identifying residual cardiovascular risk. We assessed apoB and excess apoB in T2DM for incremental prediction of atherosclerotic cardiovascular disease (ASCVD) risk. This prospective cohort included 11,918 UK Biobank participants (mean age 59.7 ± 6.6 years; 61% male) with T2DM and no ASCVD at baseline. Excess apoB was defined as the observed minus predicted apoB, where the predicted value was derived using a linear regression model of apoB on low-density lipoprotein cholesterol (LDL-C) fitted in a statin-naïve reference subset with triglycerides ≤ 1.0 mmol/L. The primary endpoint was incident ASCVD. Secondary endpoints included major adverse cardiovascular events (MACE) and all-cause mortality. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox models. Nonlinearity was assessed using restricted cubic splines. Incremental improvements were quantified using the C-index, net reclassification improvement (NRI). During a median 185.3-month follow-up, 2,548 ASCVD and 1,205 MACE events occurred. ApoB was linearly related to ASCVD and MACE, while excess apoB showed J-shaped associations with a nadir near - 7.5 mg/dL for ASCVD. Both apoB and excess apoB showed positive associations with ASCVD across ascending percentile categories. Versus < 50th percentile, HRs (95% CIs) for ASCVD in higher apoB categories (50-<75th, 75-<90th, ≥ 90th) were 1.31 (1.16-1.49), 1.51 (1.25-1.81), and 1.47 (1.10-1.95); corresponding HRs (95% CIs) for excess apoB were 1.50 (1.36-1.66), 1.45 (1.29-1.63), and 1.53 (1.33-1.76), respectively. Similar but weaker risk gradients were observed for MACE. Neither apoB nor excess apoB was associated with all-cause mortality. Excess apoB yielded greater prediction improvement than apoB (ΔC-index: 0.009 vs. 0.002; NRI: 0.270 vs. 0.101) and better stratified risk in statin users and those with LDL-C ≤ 100 mg/dL (P for interaction < 0.05). In T2DM, apoB is independently associated with ASCVD but adds limited discrimination over conventional lipids. Excess apoB yielded improved discrimination and reclassification, and may serve as a complementary ASCVD risk marker, particularly in statin-treated settings. However, its clinical application requires external validation and standardization. Show less
📄 PDF DOI: 10.1186/s12944-025-02852-8
APOB
Xin Bai, Zhe Wu, Lin Lu +9 more · 2026 · European radiology · Springer · added 2026-04-24
To develop a deep-learning model for segmenting and classifying adrenal nodules as either lipid-poor adenoma (LPA) or nodular hyperplasia (NH) on contrast-enhanced computed tomography (CECT) images. T Show more
To develop a deep-learning model for segmenting and classifying adrenal nodules as either lipid-poor adenoma (LPA) or nodular hyperplasia (NH) on contrast-enhanced computed tomography (CECT) images. This retrospective dual-center study included 164 patients (median age 51.0 years; 93 females) with pathologically confirmed LPA or NH. The model was trained on 128 patients from the internal center and validated on 36 external cases. Radiologists annotated adrenal glands and nodules on 1-mm portal-venous phase CT images. We proposed Mamba-USeg, a novel state-space models (SSMs)-based multi-class segmentation method that performs simultaneous segmentation and classification. Performance was evaluated using the mean Dice similarity coefficient (mDSC) for segmentation and sensitivity/specificity for classification, with comparisons made against MultiResUNet and CPFNet. From per-slice segmentation, the model yielded an mDSC of 0.855 for the adrenal gland; for nodule segmentation, it achieved mDSCs of 0.869 (LPA) and 0.863 (NH), significantly outperforming two previous models-MultiResUNet (LPA, p < 0.001; NH, p = 0.014) and CPFNet (LPA, p = 0.003; NH, p = 0.023). Classification performance from per slice demonstrated sensitivity of 95.3% (95% confidence interval [CI] 91.3-96.6%) and specificity of 92.7% (95% CI: 91.9-93.6%) for LPA, and sensitivity of 94.2% (95% CI: 89.7-97.7%) and specificity of 91.5% (95% CI: 90.4-92.4%) for NH. The classification accuracy for patients from external sources was 91.7% (95% CI: 76.8-98.9%). The proposed multi-class segmentation model can accurately segment and differentiate between LPA and NH on CECT images, demonstrating superior performance to existing methods. Question Accurate differentiation between LPA and NH on imaging remains clinically challenging yet critically important for guiding appropriate treatment approaches. Findings Mamba-Useg, a multi-class segmentation model utilizing pixel-level analysis and majority voting strategies, can accurately segment and classify adrenal nodules as LPA or NH. Clinical relevance The proposed multi-class segmentation model can simultaneously segment and classify adrenal nodules, outperforming previous models in accuracy; it significantly aids clinical decision-making and thereby reduces unnecessary surgeries in adrenal hyperplasia patients. Show less
📄 PDF DOI: 10.1007/s00330-025-12007-z
LPA
Huai Lan, Chao Zhang, Xinyi Huang +5 more · 2026 · Discover oncology · Springer · added 2026-04-24
Radiotherapy (RT) for breast cancer may increase atrial fibrillation (AF) risk. This study explored the association between RT and expression of AF-related genes in breast tumor tissues. A total of 10 Show more
Radiotherapy (RT) for breast cancer may increase atrial fibrillation (AF) risk. This study explored the association between RT and expression of AF-related genes in breast tumor tissues. A total of 1094 breast cancer patients (RT group: 1020; non-RT group: 74) were included based on inclusion criteria. Clinical data and RNA-seq profiles (TPM) were retrieved. Six AF-related genes (MYBPC3, LMNA, PKP2, FAM189A2, KDM5B, MYL4) were analyzed. Gene expression was compared using Wilcoxon rank-sum test after Log2(TPM + 1) transformation. Subgroup analyses were conducted by AJCC stage (I–III), laterality (left/right), age (< 65/≥65 years), clinical subtype (Luminal, HER2-positive, Triple-negative), and PAM50 molecular subtype (Basal, Her2, LumA, LumB, Normal). Multivariate linear regression was applied to evaluate RT’s independent effect on gene expression. In tumor tissues, expression levels of MYBPC3, LMNA, and MYL4 were significantly higher in the RT group compared to the non-RT group.Subgroup analysis revealed higher MYBPC3 expression in the RT group specifically in Stage III tumors, but lower expression in left-sided tumors and in patients < 65 years old. LMNA expression was higher in the RT group in Stage III tumors. MYL4 expression was higher in the RT group in Stage II tumors, in both left and right-sided tumors, and in both age groups (< 65 and ≥ 65 years). No significant differences were found across clinical or molecular subtypes for any gene.Multivariate regression confirmed RT as an independent predictor of increased MYL4 expression (β = 0.204), but not for MYBPC3 or LMNA expression. Sensitivity analysis in the 45–65 age subgroup supports the above findings. Based on tumor tissue analysis, breast cancer radiotherapy is associated with altered expression of AF-related genes (particularly MYL4) in tumor tissues, suggesting a potential molecular link worthy of further exploration in relation to atrial fibrillation. These findings warrant future validation in cardiac or circulatory tissues. The online version contains supplementary material available at 10.1007/s12672-026-04468-5. Show less
📄 PDF DOI: 10.1007/s12672-026-04468-5
MYBPC3
Hualong Zhu, Yongwei Xiong, Zhi Yuan +10 more · 2026 · Eco-Environment & Health · Elsevier · added 2026-04-24
Male infertility affects approximately one in seven couples worldwide. Prenatal cadmium (Cd) exposure has been shown to affect offspring phenotypes and increase susceptibility to diseases later in lif Show more
Male infertility affects approximately one in seven couples worldwide. Prenatal cadmium (Cd) exposure has been shown to affect offspring phenotypes and increase susceptibility to diseases later in life. However, the effects of prenatal Cd exposure on multi-generational offspring fertility and the mechanisms remain unknown. A novel murine multi-generational (F1-F3 offspring) male subfertility model induced by prenatal Cd exposure was developed. The levels of testosterone and steroidogenic enzymes were also lower in these offspring's testes. The ubiquitin-dependent degradation of NR4A1, the upstream transcription factor regulating steroidogenic enzymes, was enhanced across generations upon prenatal Cd exposure. After treatment with MG132, an inhibitor of the ubiquitin-proteasome system, the levels of NR4A1 and steroidogenic enzymes were higher in offspring testes with prenatal Cd exposure. Based on the analysis of the UbiBrowser database and testicular global transcriptome, RAPSN was identified as a novel ubiquitin E3 ligase containing the RING-H2_Rapsyn domain that mediates multi-generational testicular NR4A1 ubiquitination. m Show less
no PDF DOI: 10.1016/j.eehl.2026.100217
RAPSN