👤 Tangjuan 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, 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
Mixue Guo, Haifeng Zhang, Chang Fu +4 more · 2026 · Annals of general psychiatry · BioMed Central · added 2026-04-24
Research suggests that lipid levels may be associated with suicide risk. However, the specific relationship between Apolipoprotein B and suicidal ideation remains unclear. The aim of this study was to Show more
Research suggests that lipid levels may be associated with suicide risk. However, the specific relationship between Apolipoprotein B and suicidal ideation remains unclear. The aim of this study was to investigate the association between ApoB levels and suicidal ideation and to further explore the causal relationship using Mendelian randomization. A cross-sectional study of 6520 U.S. adults was conducted using the 2011-2016 National Health and Nutrition Examination Survey (NHANES) dataset. Multiple logistic regression, smoothed curve fitting, stratified analyses, and interaction tests were used to reveal the relationship between ApoB levels and suicidal ideation. MR analyses were conducted using inverse variance weighting (IVW), GSMR, Maximum likelihood method, and cML-MA-BIC MR method. Sensitivity analyses included MR-Egger intercept test, MR-PRESSO global test, and leave-one-out (LOO) analysis. Multivariate logistic regression analysis showed that serum ApoB levels were positively associated with suicidal ideation, and the association remained significant even after multiple covariates (P = 0.0463). Subgroup analyses showed that the risk of suicidal ideation was significantly increased in the highest tertile (T3) of the population compared to the lowest tertile (T1) of ApoB levels (OR = 1.48, 95% CI: 1.04-2.12, P = 0.0312). In addition, the association between ApoB and suicidal ideation was more significant in the smoking subgroup (P interaction = 0.034). However, MR analysis failed to confirm a significant causal effect of ApoB levels on suicidal ideation (P > 0.05), and these results were robust to sensitivity analyses. The present study found a significant positive association between serum ApoB levels and suicidal ideation, especially among smokers. MR analysis failed to provide causal evidence of ApoB on suicidal ideation. More research is needed to clarify the potential role of ApoB in the development of suicidal ideation. Show less
no PDF DOI: 10.1186/s12991-026-00645-6
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Hezhen Gao, Dilraba Mahmut, Fanshu Dai +4 more · 2026 · Frontiers in artificial intelligence · Frontiers · added 2026-04-24
Ischemic stroke is a heterogeneous disease influenced by inflammation, coagulation dysfunction, and metabolic disturbances. However, integrated analysis incorporating these biological domains for pati Show more
Ischemic stroke is a heterogeneous disease influenced by inflammation, coagulation dysfunction, and metabolic disturbances. However, integrated analysis incorporating these biological domains for patient stratification remain limited. A retrospective study of 132 ischemic stroke patients was conducted. Clinical, coagulation, inflammatory, and metabolic parameters were collected. Principal component analysis (PCA) was applied for dimensionality reduction and visualization. PCA revealed underlying heterogeneity among patients. Validated Data driven clustering identified biologically distinct ischemic stroke subtypes based on inflammation, coagulation, and metabolic profiles. This stratification highlights the heterogeneity of ischemic stroke and may inform future personalized approaches to risk assessment and management. Show less
📄 PDF DOI: 10.3389/frai.2026.1776891
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Ann Marie Navar, Elina Mikhailova, Alberico L Catapano +13 more · 2026 · The New England journal of medicine · added 2026-04-24
Enlicitide decanoate, an oral proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor, was shown to reduce low-density lipoprotein (LDL) cholesterol levels in a phase 2 trial; longer-term data Show more
Enlicitide decanoate, an oral proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor, was shown to reduce low-density lipoprotein (LDL) cholesterol levels in a phase 2 trial; longer-term data are needed. In this multinational, double-blind, randomized, placebo-controlled trial, we enrolled adults with a history of a major atherosclerotic cardiovascular disease event with an LDL cholesterol level of 55 mg per deciliter or higher and those who were at risk for a first atherosclerotic cardiovascular disease event with an LDL cholesterol level of 70 mg per deciliter or higher. Participants were assigned in a 2:1 ratio to receive enlicitide at a dose of 20 mg or placebo daily for 52 weeks. The primary end point was the mean percent change in LDL cholesterol level from baseline to week 24. Key secondary end points were the mean percent change in LDL cholesterol level at week 52 and the mean percent change in levels of non-high-density lipoprotein (non-HDL) cholesterol and apolipoprotein B and the percent change in lipoprotein(a) level at week 24. Of the 2909 participants in the intention-to-treat population, 1935 received enlicitide and 969 received placebo (5 did not receive enlicitide or placebo). The mean age of the participants was 63 years, and 39.3% were women. The mean (±SD) LDL cholesterol level at baseline was 96.1±38.9 mg per deciliter. The mean percent change in LDL cholesterol levels at week 24 was -57.1% (95% confidence interval [CI], -61.8 to -52.5) with enlicitide and 3.0% (95% CI, 0.9 to 5.1) with placebo, representing an adjusted between-group difference of -55.8 percentage points (95% CI, -60.9 to -50.7; P<0.001). The mean percent change in LDL cholesterol level at week 52, the mean percent changes in non-HDL cholesterol and apolipoprotein B levels at week 24, and the percent change in lipoprotein(a) levels at week 24 were significantly greater with enlicitide than with placebo (P<0.001 for all comparisons). The incidence of adverse events did not appear to differ between the groups. Among participants who had a history of or were at risk for a first atherosclerotic cardiovascular disease event, treatment with the oral PCSK9 inhibitor enlicitide resulted in significantly lower LDL cholesterol levels than placebo at 24 weeks. (Funded by MSD [Rahway, NJ]; CORALreef Lipids ClinicalTrials.gov number, NCT05952856.). Show less
no PDF DOI: 10.1056/NEJMoa2511002
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Wei Pan, Xiaozhao Lu, Ziwei Zhou +14 more · 2026 · Lipids in health and disease · BioMed Central · added 2026-04-24
Residual cardiovascular risk persists in statin-treated patients with coronary artery disease (CAD), even when low-density lipoprotein cholesterol (LDL-C) targets are met. Excess apolipoprotein B (apo Show more
Residual cardiovascular risk persists in statin-treated patients with coronary artery disease (CAD), even when low-density lipoprotein cholesterol (LDL-C) targets are met. Excess apolipoprotein B (apoB), defined as measured apoB minus LDL-C-predicted apoB, may capture atherogenic particle burden beyond LDL-C, but its prognostic value for long-term mortality in secondary prevention remains uncertain. We conducted a pooled analysis of two nationwide Chinese cohorts (CIN-II and RED-CARPET) comprising 68,616 statin-treated CAD patients. Excess apoB was calculated using an internal reference population (triglycerides ≤ 1.0 mmol/L). Associations with all-cause and cardiovascular mortality were assessed using multivariable Cox models, with adjustment for clinical covariates including nutritional status. External validation was performed in 13,702 participants from the UK Biobank. Over a median follow-up of 5.2 years, 10,835 deaths occurred (5,090 cardiovascular). Each 1-standard deviation (15.4 mg/dL) increase in excess apoB was associated with a 12% higher risk of all-cause mortality (adjusted hazard ratio [aHR] 1.12, 95% CI 1.06-1.18) and a 24% higher risk of cardiovascular mortality (aHR 1.24, 95% CI 1.15-1.34). Patients in the highest excess apoB quartile (≥ 11.5 mg/dL) had significantly worse survival. Notably, these associations persisted consistently across all achieved LDL-C strata (< 2.0 to > 4.0 mmol/L). These findings were robustly confirmed in the external validation cohort. Excess apoB is an independent predictor of long-term mortality in statin-treated CAD patients, even among those with well-controlled LDL-C. Its incorporation into risk assessment could improve prognostic stratification and guide personalized management in secondary prevention. CIN-II: ClinicalTrials.gov, NCT05050877 (Retrospectively registered, 21 September 2021); RED-CARPET: Chinese Clinical Trial Registry, ChiCTR2000039901 (Prospectively registered, 14 November 2020). The UK Biobank study is covered by generic ethical approval from the NHS National Research Ethics Service (Ref: 99231). Show less
no PDF DOI: 10.1186/s12944-026-02928-z
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Jiaqiang Hu, Jun Wang, Haixia Zhang +4 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Lipoprotein(a)-targeted therapies are emerging approaches for lowering lipoprotein(a) [lp(a)]. We conducted a systematic review and network meta-analysis to evaluate the efficacy and safety of lipopro Show more
Lipoprotein(a)-targeted therapies are emerging approaches for lowering lipoprotein(a) [lp(a)]. We conducted a systematic review and network meta-analysis to evaluate the efficacy and safety of lipoprotein(a)-targeted therapies in patients. We searched PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL) up to May 6, 2025, for randomized controlled trials (RCTs) with intervention duration of at least 12 weeks. The primary outcomes were percentage and absolute changes in Lp(a). Secondary outcomes included changes in low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (apoB), and safety outcomes including adverse events (AEs), serious adverse events (SAEs), and injection-site reactions. A frequentist framework network meta- analysis was performed. Nine studies involving 1,432 participants were included. All six Lp(a)-targeted therapies significantly reduced Lp(a) levels. Compared with placebo, Olpasiran was the most effective therapy for both percentage [mean difference: -92.06, 95% (-109.80; -74.32), Lp(a)-targeted therapies achieved substantial reductions in Lp(a). Olpasiran was the most effective agent in lowering Lp(a) levels. These therapies also improved LDL-C and apoB. The majority of Lp(a)-targeted therapies demonstrate generally favorable safety profiles; However, injection-site reactions, particularly with Zerlasiran, warrant careful consideration. https://www.crd.york.ac.uk/PROSPERO/view/CRD420251069288, PROSPERO CRD420251069288. Show less
📄 PDF DOI: 10.3389/fcvm.2026.1758366
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Hechuan Wang, Yunuo Liu, Ke Jiang +6 more · 2026 · Poultry science · Elsevier · added 2026-04-24
Clutch length is a key determinant of reproductive efficiency in geese and strongly positively correlates with egg production. We recorded daily egg production in 280 individually housed Zi geese, cal Show more
Clutch length is a key determinant of reproductive efficiency in geese and strongly positively correlates with egg production. We recorded daily egg production in 280 individually housed Zi geese, calculated clutch-related indices, and selected 12 geese to form long-clutch (LC) and short-clutch (SC) groups for ovarian transcriptomic, proteomic, and metabolomic analyses. The results showed that egg number, large clutch length, large clutch number, average clutch length, and average clutch number were significantly higher in LC than in SC groups (P < 0.0001). Transcriptomic analysis identified 885 differentially expressed genes enriched in oocyte development and ovarian steroidogenesis, with APOB, PLA2G4C, MMP2, MMP9, and NOBOX as key genes; proteomic analysis identified 437 differentially abundant proteins enriched in arachidonic acid metabolism and mitophagy, with CXCL12, RARB, and MAD2L1 as key proteins; and metabolomic analysis identified 35 differentially abundant metabolites enriched in glycolysis/gluconeogenesis, with lactic acid, guanidinoacetic acid, and 3-hydroxybutyrylcarnitine as key metabolites. Integration of multi-omics datasets highlighted a lactate-associated cross-omics signature supported by YWHAZ at the protein level and by the lactate transporter SLC16A3. Collectively, these findings deepen our understanding of the molecular basis underlying clutch-length variation in goose ovaries and highlight candidate genes, proteins, and metabolites for future functional validation. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106731
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Lingzhi Wu, Jianqin Wang, Yawei Wang +20 more · 2026 · Nature · Nature · added 2026-04-24
Orchestration of lipid production, storage and mobilization is vital for cellular and systemic homeostasis
📄 PDF DOI: 10.1038/s41586-026-10161-y
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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
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Jiaomei Li, Kaixin Pan, Yuxuan Zhang +8 more · 2026 · Scientific reports · Nature · added 2026-04-24
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial Show more
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials. The online version contains supplementary material available at 10.1038/s41598-026-40028-1. Show less
📄 PDF DOI: 10.1038/s41598-026-40028-1
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Weikun Zhao, Ruiyan Huang, Renxuan Qin +4 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Coronary heart disease (CHD) burden is increasing, and traditional obesity measures inadequately capture fat distribution and associated CHD risk. A body shape index (ABSI) is an emerging anthropometr Show more
Coronary heart disease (CHD) burden is increasing, and traditional obesity measures inadequately capture fat distribution and associated CHD risk. A body shape index (ABSI) is an emerging anthropometric metric of fat distribution, but evidence linking ABSI to CHD is limited, particularly in the Chinese population. This case-control study in southern China investigated the association of ABSI and related factors with CHD risk, aiming to facilitate early identification of high-risk individuals. We retrospectively studied 996 patients who underwent coronary angiography in a southern Chinese hospital. After strict screening and propensity score matching (PSM), 125 patients with CHD (>50% coronary stenosis) and 125 controls (<50% stenosis) were selected. Key CHD risk predictors were identified using feature-selection techniques (LASSO regression, recursive feature elimination, random forest importance). Univariate and multivariate logistic regression models were constructed for CHD prediction. Model performance was evaluated by receiver operating characteristic (ROC) analysis and compared to individual predictors using the DeLong test. A nomogram was developed for individualized risk estimation. Baseline characteristics were well matched between CHD and control groups after PSM. Across feature-selection methods, the most influential predictors for CHD included ABSI, prealbumin (PA), direct-to-total bilirubin ratio (DB/TB), apolipoprotein B (ApoB), globulin (GLO), apolipoprotein A-I (ApoA-I), and essential hypertension (EH). Each of these factors showed a significant univariate association with CHD ( This study identifies ABSI as a potential predictor of CHD risk among southern Chinese populations. Integrating ABSI with other candidate predictors improves the model's predictive performance. A multifactorial approach may better characterize CHD risk in this population and could inform prevention strategies. Show less
📄 PDF DOI: 10.3389/fcvm.2026.1698541
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Fanrong Zeng, Xinyi Zhang, Meng Zhang +6 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and Show more
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and genotype and allele frequencies were compared between groups. Multivariate logistic regression analyzed the link between ApoE polymorphisms and CAD risk in populations at middle and high altitudes. The data revealed significant differences in These findings validated that the Show less
📄 PDF DOI: 10.3389/fendo.2026.1765770
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Shuzhen Du, Wenqiang Li, Yubo Wang +7 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
To develop and validate a prediction model for in-hospital cardiogenic shock (CS) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) based on machine lea Show more
To develop and validate a prediction model for in-hospital cardiogenic shock (CS) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) based on machine learning (ML) algorithms. A total of 1608 AMI patients admitted to the First Hospital of Lanzhou University during 2023 and 2024 were retrospectively enrolled in this study. The 851 patients from 2023 were randomly divided into a training set ( LASSO regression initially identified 13 candidate features, while the random forest (RF) model demonstrated the best predictive performance in the training set. Following Boruta refinement, seven key features were retained, leading to the construction of an updated RF model. This model achieved an AUROC of 0.906, an accuracy of 0.977, a precision of 0.900, a sensitivity of 0.643, a specificity of 0.996, and a F1 score of 0.750 on the internal validation set. Temporal external validation at the same center showed an AUROC of 0.988, an accuracy of 0.967, a precision of 0.701, a sensitivity of 0.904, a specificity of 0.972, and a F1 score of 0.790. Furthermore, the model demonstrated excellent calibration, with a Brier score of 0.023 and 0.027. The SHAP analysis ranked feature importance as Killip class, D-dimer (DD), creatinine (Crea), alanine aminotransferase (ALT), apolipoprotein B/A (APOB/A), diastolic blood pressure (DBP) and lactate (Lac). We developed and validated a RF model based on seven key variables—Killip class, DD, Crea, ALT, APOB/A, DBP and Lac—that serves as a predictive tool for identifying the risk of in-hospital CS in AMI patients post-PCI. Additionally, we created an online prediction application using Streamlit, which facilitates the implementation of this model into clinical practice. Show less
📄 PDF DOI: 10.1186/s12872-026-05562-w
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Mengyao Cheng, Erkun Xing, Minmin Wang +2 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
The objective of this research was to investigate the association between non-traditional lipid parameters and optical coherence tomography (OCT)-characterized high-risk plaques in patients with acute Show more
The objective of this research was to investigate the association between non-traditional lipid parameters and optical coherence tomography (OCT)-characterized high-risk plaques in patients with acute myocardial infarction (AMI). This retrospective study included 249 first-episode AMI patients admitted to the First Affiliated Hospital of Lanzhou University between January 2022 and December 2024. All patients underwent OCT-guided assessment of culprit lesions before revascularization. High-risk plaques were defined by more than two of the following features: lipid arc ≥90 °, fibrous cap thickness <65 μm, or plaque rupture/thrombus. Lesions with fewer than two of these criteria were classified as non-high-risk plaques. Clinical and laboratory data were collected, and a comprehensive lipid profile was calculated, including traditional indicators [e.g., non-HDL cholesterol (non-HDL-C)] and non-traditional ratios [e.g., apolipoprotein B/A1 ratio (ApoB/A1)]. Spearman correlation was used to assess relationships between lipid parameters and high-risk plaques. After excluding collinear variables, logistic regression, restricted cubic spline (RCS), and subgroup analyses were performed. Model discrimination and clinical value were evaluated using receiver operating characteristic (ROC) curves, the DeLong test, integrated discrimination improvement (IDI), net reclassification index (NRI), and decision curve analysis (DCA). Among 249 AMI patients, 137 (55.0%) exhibited OCT-characterized high-risk plaques. These patients were more often male (89.8%) and presented with STEMI (84.7%). They had elevated levels of myoglobin, LDL-C, non-HDL-C, ApoB, ApoB/A1, remnant lipoprotein cholesterol (RLP-C), non-HDL-C/HDL-C ratio (NHHR), and TC/HDL-C (all Both the non-traditional ApoB/A1 ratio and the traditional lipid marker non-HDL-C were independently and linearly associated with OCT-characterized high-risk plaques in AMI. Their combined assessment enhanced the identification of high-risk plaques morphology. Show less
📄 PDF DOI: 10.3389/fcvm.2026.1698482
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Mei Li, Zeqing Xu, Jiarui Zeng +6 more · 2026 · International journal of medical microbiology : IJMM · Elsevier · added 2026-04-24
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key g Show more
Staphylococcus aureus is a significant pathogen that poses a threat to both human and animal health. Its pathogenicity in humans has been extensively studied, however, the signaling pathways and key genes in Koi Carp responding to S. aureus from human rhinitis remain unclear. In this study, we established an intraperitoneal infection model in koi carp (Cyprinus carpio) using an S. aureus isolate from patients with rhinitis and integrated RNA-seq, qPCR, and ELISA to dissect the host response. Our findings reveal a dual-module immune evasion strategy employed by S. aureus in koi carp. Module I: The pathogen down-regulated the entire complement coagulation cascade (C3, C9, CFH, F7/9/10) and apolipoprotein-mediated opsonins (APOA1, APOB, APOC1/2), thereby crippling innate clearance. Module II: The host mounted a restricted but potent counter-response, characterized by type I IFN signalling (gvin1, MHC-I), NK/T-cell co-stimulation (CD244, SLAMF5), and the selective induction of IL-8 and IL-1β, while IL-6, IL-10, and TNF-α remained unchanged. Functionally, serum superoxide dismutase (SOD), catalase (CAT), and lysozyme (LZM) activities surged, confirming an oxidative burst, whereas splenic CD22R protein decreased, indicating B-cell disinhibition. These results establish a molecular basis for understanding the interaction between human-derived S. aureus and the immune system of aquatic organisms. Show less
no PDF DOI: 10.1016/j.ijmm.2026.151707
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Zhou Shu, Gang Yuan, Long Zhang · 2026 · American journal of translational research · added 2026-04-24
To explore the clinical value of D-lactate (D-LA), apolipoprotein B/A1 ratio (APO B/A1) and systemic immune-inflammatory response index (SIRI) in acute pancreatitis (AP) progression and concurrent inf Show more
To explore the clinical value of D-lactate (D-LA), apolipoprotein B/A1 ratio (APO B/A1) and systemic immune-inflammatory response index (SIRI) in acute pancreatitis (AP) progression and concurrent infectious pancreatic necrosis. This retrospective study included 116 AP patients (Jun 2021 - Dec 2024, Chongqing University Qianjiang Hospital). Patients were assigned to the model group, categorized into bedside indices for severity in acute pancreatitis (BISAP) of mild (n=57), moderate (n=31), and severe (n=28) subgroups. D-LA, APOB/A1, SIRI, and BISAP were compared. Correlations were analyzed via Pearson. Patients were also divided into an infected group (36 cases) and a non-infected group (80 cases) to compare clinical data as well as the above indices. Multivariate logistic regression identified its influencing factors. An external cohort (54 patients) validated the model via ROC and calibration curves. As the severity of AP worsens, D-LA, APO B/A1, and SIRI all increase, and D-LA, APO B/A1, and SIRI were positively correlated with BISAP scores ( D-LA, APO B/A1, SIRI correlate with AP severity and the combined model enables early assessment and personalized measures. Show less
no PDF DOI: 10.62347/MZGT3239
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Qian Wang, Xiaonyun Zhang, Fan Wu +1 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Hypothyroidism, the most prevalent endocrine disorder globally, is associated with increased cardiovascular risk. This study aims to evaluate cardiovascular risk factors-including serum oxidized low-d Show more
Hypothyroidism, the most prevalent endocrine disorder globally, is associated with increased cardiovascular risk. This study aims to evaluate cardiovascular risk factors-including serum oxidized low-density lipoprotein (ox-LDL), serum homocysteine (Hcy), and lipid profiles-and their correlations with thyroid-stimulating hormone (TSH) levels. Early identification of these risk predictors may reduce the incidence and mortality of cardiovascular disease in hypothyroid patients. This cross-sectional study included 676 participants. Subjects were stratified into four groups: three corresponding to TSH quartiles within the reference range and a fourth comprising subclinical hypothyroidism (SCH) patients with TSH levels above this range. All participants underwent physical examinations and provided fasting blood samples for measurement of TSH, free thyroxine (FT4), free triiodothyronine (FT3), blood glucose, triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), lipoprotein(a) [Lp(a)], ox-LDL, and Hcy. Across the four subgroups, LDL-C, ApoB, ox-LDL, and Hcy levels exhibited significant increasing trends (all The observed correlations between ox-LDL, Hcy, and dyslipidemia in subclinical hypothyroidism may indicate a proatherogenic state. Elevated ox-LDL and Hcy emerge as independent factors associated with accelerated atherosclerosis in this condition. Show less
📄 PDF DOI: 10.3389/fendo.2026.1750486
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Le Zhang, Minxue Quan, Xiao-Cheng Zhang +6 more · 2026 · Cardiovascular diabetology · BioMed Central · added 2026-04-24
In recent years, except for the well-known heart failure with reduced ejection fraction (HFrEF), the incidence of heart failure with preserved ejection fraction (HFpEF) and heart failure with mildly r Show more
In recent years, except for the well-known heart failure with reduced ejection fraction (HFrEF), the incidence of heart failure with preserved ejection fraction (HFpEF) and heart failure with mildly reduced ejection fraction (HFmrEF) among the classification of heart failure (HF) has been increasing. However, due to their complex mechanisms, current research remains insufficient to address clinical needs. Utilizing wild-type (WT), miR-30a-5p knockout (KO), and overexpression (OE) murine models combined with estrogen modulation and ovariectomy (OVX), this study delineates sex-specific regulatory networks in HF pathogenesis. Female KO mice lost the inherent resistance of WT females to HFpEF induction via 24-week HFD/L-NAME, whereas males exhibited comparable HFpEF susceptibility regardless of genotype, developing hallmark phenotypes including diastolic dysfunction (E/E'), myocardial hypertrophy (heart weight/tibia length), cardiac fibrosis, and hepatic steatosis. Particularly, due to the reduced ejection fraction in KO mice, combined with HFD/L-NAME, the HF phenotype was ultimately manifested as impaired diastolic function and slightly reduced ejection fraction (with the characteristics of HFpEF and HFmrEF). Mechanistically, KO-HF females displayed significant estrogen axis disruption (plasma estradiol and the expression of ERα, ERβ, ESRRA, and PELP1 expression). OVX in WT females validated the importance of estrogen for HFpEF resistance. Transcriptomic profiling identified convergent targets across cardiac (ITGAD, ITGAM, FGA, and FGB) and hepatic tissues (APOA1 and APOB), revealing miR-30a-5p's orchestration of extracellular matrix remodeling (via ITGAD/ITGAM mechanotransduction),fibrinogen-mediated microvascular homeostasis, and APOB-driven metabolic dysregulation. Notably, OE intervention failed to mitigate OVX-induced cardiac/hepatic pathology, implicating estrogen-dependent miR-30a-5p functionality. These findings establish miR-30a-5p as a crucial sex-specific regulator of HF (mainly HFpEF), operating through estrogen signaling to balance cardiac compliance and metabolic adaptation. Show less
📄 PDF DOI: 10.1186/s12933-026-03090-7
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Peter U Amadi, Justice O Osuoha, Joy A Amadi +11 more · 2026 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Metabolic-dysfunction associated steatohepatitis (MASH) arises from sustained triglyceride overload of the intestine-liver axis, yet current therapies rarely coordinate intestinal lipid entry with hep Show more
Metabolic-dysfunction associated steatohepatitis (MASH) arises from sustained triglyceride overload of the intestine-liver axis, yet current therapies rarely coordinate intestinal lipid entry with hepatic triglyceride disposal. Here we identify a phenolic-acid fraction as a dual-compartment metabolic modulator that couples intestinal lipase inhibition to CPT1α-PPARα-dependent hepatic β-oxidation across species. Across species, we investigated the kinetics and metabolic actions of a phenolic fraction (PhAM) using recombinant lipase systems, epithelial transport assays, hepatocyte models, pharmacokinetics, diet-induced metabolic disease paradigms, quantitative histopathology, and a 24-week randomized placebo-controlled clinical trial. PhAM selectively suppresses pancreatic and intestinal lipases non-competitively, lowering V_max with minimal K_m change, resembling some features of orlistat, but via a distinct, non-covalent mechanism. In Caco-2 monolayers and ex vivo loops, it reduces apical-to-basolateral fatty-acid flux, depletes intracellular triglycerides, and limits luminal-to-plasma lipid transfer. PhAM is orally bioavailable, with measurable plasma exposure and prolonged intestinal residence. Under high-fat feeding, it increases fecal fat loss, attenuates post-lipid-load triglyceride excursions, and lowers hepatic triglycerides without altering ApoB secretion. Its triglyceride-lowering effect requires CPT1α-dependent mitochondrial import and PPARα activation, elevates β-hydroxybutyrate, and induces oxidative genes while sparing lipogenesis. In chronic MASH, PhAM reduces steatosis, ballooning, inflammation, and metabolic-dysfunction associated steatotic liver disease (MASLD) Activity Score. A 24-week clinical subgroup, defined by ultrasound and transaminase enrichment, showed dose-responsive improvements in ultrasonographic steatosis and metabolic biomarkers. Collectively, these findings define PhAM as a phenolic-acid-based agent that aligns intestinal lipid restriction with hepatic oxidative unloading, offering a mechanistically coherent framework for potentially addressing steatotic liver disease-associated metabolic features. Show less
no PDF DOI: 10.1016/j.biopha.2026.119070
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Xiaoyi Lin, Jiao Wang, Weisen Zhang +5 more · 2026 · Journal of clinical lipidology · Elsevier · added 2026-04-24
The effects of lipid traits on colorectal cancer (CRC) risk and the extent to which obesity may modify these effects remain unclear. To examine the associations between lipid traits and CRC risk using Show more
The effects of lipid traits on colorectal cancer (CRC) risk and the extent to which obesity may modify these effects remain unclear. To examine the associations between lipid traits and CRC risk using an observational study and Mendelian randomization (MR) analyses, and the role of weight status in the potential associations. In the Guangzhou Biobank Cohort Study (GBCS), lipid profiles were measured during 2003-2008, and CRC events were identified through record linkage with the cancer registry. MR analyses assessed the causal effects of lipid traits on CRC using a genome-wide association study meta-analysis of 185,616 Europeans. Among 28,576 GBCS participants followed until 2020, 599 CRC events occurred. Participants in the highest quartile of apolipoprotein B (apoB) had a higher CRC risk (hazard ratio [HR] 1.43, 95% CI 1.02-2.01). This association remained in those with overweight/obesity (HR 2.21, 95% CI 1.28-3.83). MR analyses supported a detrimental effect of apoB on CRC (odds ratio 1.12 per 1 SD, 95% CI 1.02-1.22). MR analyses also showed positive associations for total cholesterol and the apoB/apolipoprotein A-I ratio, which were not significant in the observational study. Higher apoB levels were associated with an increased CRC risk in both observational and MR analyses, suggesting a potential role of apoB in CRC prevention, especially among participants with overweight/obesity. However, the limitations of single-time lipid measurements and the use of different ancestries across study designs indicate the need for further research to confirm the robustness and generalizability of the findings. Show less
no PDF DOI: 10.1016/j.jacl.2025.12.021
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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
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Xinran Zhang, Xue Pan, Linglian Kong +1 more · 2026 · Poultry science · Elsevier · added 2026-04-24
This study aimed to investigate the effects of glycerol monolaurate (GML) on lipid metabolism in young broilers, with focus on the AMPKα1 protein and the cecal microbiota. A total of 144 one-day-old m Show more
This study aimed to investigate the effects of glycerol monolaurate (GML) on lipid metabolism in young broilers, with focus on the AMPKα1 protein and the cecal microbiota. A total of 144 one-day-old male Arbor Acres broilers were randomly assigned to two groups, with each group consisting of six replicates of twelve birds. The groups were fed diets supplemented with either 0 or 1,200 mg/kg of GML for a period of 14 d. The results showed that GML increased high-density lipoprotein cholesterol levels in the serum (P < 0.05) while reducing total cholesterol, triglyceride, low-density lipoprotein cholesterol, and aspartate aminotransferase levels (P < 0.05). GML also decreased liver lipid droplets and increased the mRNA levels of AMPKα1, CPT1, ApoB, and LXR (P < 0.05). Molecular docking results indicated that GML exhibited good binding affinity with AMPKα1. Root-mean-square deviation values for AMPKα1 and the AMPKα1/GML complex remained stable at 1 to 2 Å within the first 50 ns. The residues in the AMPKα1/GML complex exhibited root-mean-square fluctuation values of less than 2 Å, and the binding energy of the complex was -133.515 kJ/mol. Moreover, GML significantly increased the expression levels of GPR119 and AMPKα1 in the jejunum (P < 0.05). Notably, the genera CHKC1001, Coprobacter, and Ruminococcaceae_UCG₀₀₅ were significantly enriched in the GML group (P < 0.05). PICRUSt2 function prediction revealed that GML-induced alterations in the cecal microbiota primarily involved fatty acid degradation (P < 0.05). In conclusion, dietary supplementation with 1200 mg/kg GML enhanced lipid metabolism in young broilers. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106383
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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
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Yiao Jiang, Zhao Zhang · 2026 · Circulation · added 2026-04-24
Apolipoprotein B (apoB) is essential for lipoprotein assembly and secretion and plays a central role in the development of cardiovascular disease and metabolic dysfunction-associated steatotic liver d Show more
Apolipoprotein B (apoB) is essential for lipoprotein assembly and secretion and plays a central role in the development of cardiovascular disease and metabolic dysfunction-associated steatotic liver disease. Although apoB protein degradation during very-low-density lipoprotein maturation has been extensively studied, the regulation of A forward genetic screen in randomly mutagenized mice identified HELZ2 (helicase with zinc finger 2) as a critical regulator of lipid metabolism. The metabolic effects of HELZ2 mutations or deficiency were evaluated in mice maintained on a chow diet or a high-fat diet. We also used a doxycycline-inducible, liver-specific HELZ2 overexpression model to test the sufficiency of hepatocyte We discovered a unique gain-of-function mutation in HELZ2 (L1833P, called HELZ2 is a key regulator of Show less
📄 PDF DOI: 10.1161/CIRCULATIONAHA.125.076468
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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
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Yaqun Fang, Zhiye Zhang, Qiqi Cao +10 more · 2026 · Science China. Life sciences · Springer · added 2026-04-24
Dysregulation of low-density lipoprotein (LDL) cholesterol is strongly correlated with the risk of metabolic dysfunction-associated steatotic liver disease. Endogenous molecules targeting LDL clearanc Show more
Dysregulation of low-density lipoprotein (LDL) cholesterol is strongly correlated with the risk of metabolic dysfunction-associated steatotic liver disease. Endogenous molecules targeting LDL clearance play crucial roles in the progression of liver steatosis. Human cathelicidin LL-37 can form complexes with lipoproteins, but whether these complexes regulate lipoprotein-driven cholesterol metabolism is not clear. Here, we find that cathelicidin LL-37 binds to LDL via apolipoprotein (Apo)B-100 domains, enhancing the solubility of ApoB-100 and inhibiting the modifications and aggregation of LDL. LL-37-LDL interaction promotes LDL uptake through LDL receptor (LDLR) both in hepatocytes and macrophages. This interaction also promotes LDL cholesterol clearance by facilitating cholesterol excretion and cholesterol efflux. In Apoe Show less
📄 PDF DOI: 10.1007/s11427-025-3006-2
APOB
Jingjing Chen, Yannan Guo, Liang Huang +4 more · 2026 · Pediatric nephrology (Berlin, Germany) · Springer · added 2026-04-24
Patients on dialysis often suffer from carnitine deficiency due to reduced intake, reduced synthesis in the kidneys, and clearing through dialysis. Carnitine deficiency may lead to anemia, cardiomyopa Show more
Patients on dialysis often suffer from carnitine deficiency due to reduced intake, reduced synthesis in the kidneys, and clearing through dialysis. Carnitine deficiency may lead to anemia, cardiomyopathy, hypotension, and so on. Several studies have shown that supplementing with L-carnitine can diminish the above symptoms in adult dialysis patients, but whether children can benefit from L-carnitine remains unclear. This study was performed to investigate the effect of L-carnitine in children with kidney failure undergoing dialysis. PubMed, Embase, The Cochrane Library, China National Knowledge Infrastructure (CNKI), WanFang Data, and VIP database were electronically searched from database inception to December 2023.  STUDY ELIGIBILITY CRITERIA: We included randomized controlled trials (RCTs), cohort studies, case-control studies, cross-section studies, and case series studies that evaluated the impact of L-carnitine on children. Patients aged less than 18 years with kidney failure undergoing dialysis.  STUDY APPRAISAL AND SYNTHESIS METHODS: We assessed the quality of studies using the RoB2 tool recommended by the Cochrane Handbook, the Newcastle-Ottawa Quality Assessment Scale (NOS), the checklist recommended by Agency for Healthcare Research and Quality (AHRQ), and the quality evaluation tool recommended by the National Institutes of Health (NIH). We conducted only descriptive analyses and did not perform meta-analysis due to significant differences in study types and limited data. A total of 194 patients were included in 9 studies, of which 3 were RCT studies; 2 were cohort studies, and 4 were case series studies. Due to limited data, we only conducted descriptive analysis rather than meta-analysis. For children undergoing hemodialysis, cohort study of high-quality showed that L-carnitine significantly improved hemoglobin (Hb) and reduced the required erythropoiesis-stimulating agent (ESA) dose; RCT study of moderate-quality indicated that L-carnitine did not influence serum lipid profiles except for reducing apolipoprotein B (ApoB). Cohort study of moderate-quality showed that L-carnitine improved cardiac function; RCT study of moderate-quality indicated that L-carnitine did not influence albumin, C-reactive protein (CRP), interleukin-6 (IL-6), and quality of life. For children undergoing peritoneal dialysis, only serum lipid profiles were analyzed. RCT and case series studies of moderate-quality indicated that L-carnitine did not influence serum lipid profiles except for reducing ApoB. The number of studies enrolled was limited, and their quality was not high. Our study found that children with kidney failure requiring dialysis could partially benefit from L-carnitine, including increased Hb, decreased ESA requirement, reduced ApoB, and improved cardiac function. Further RCTs of high quality are still needed to clarify this issue. This study provided more comprehensive and credible evidence for clinical use of L-carnitine in children. PROSPERO registration number CRD420250649553. Show less
no PDF DOI: 10.1007/s00467-025-06929-5
APOB
Jie Huang, Xingyuan Hou, Ni Zhou +7 more · 2026 · Cardiovascular drugs and therapy · Springer · added 2026-04-24
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of ph Show more
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of phenylacetylglutamine (PAGln), a novel gut microbiota metabolite, in Dox-induced cardiotoxicity (DIC). DIC models were established in vivo and in vitro, and a series of experiments were performed to verify the cardioprotective effect of PAGln. RNA sequencing (RNA-seq) was employed to explore the mechanism of PAGln in DIC. Subsequently, the differentially expressed genes (DEGs) were subjected to comprehensive analysis using diverse public databases, and RT-PCR was used to confirm the expression levels of the candidate genes. Finally, molecular docking techniques were used for validation. PAGln effectively prevented both in vivo and in vitro Dox-induced myocardial injury and cell apoptosis. RNA-seq results showed that 40 genes were up-regulated and 54 down-regulated in the Dox group compared to the Con group, displaying opposite changes in the Dox + PAGln group. Enrichment analysis highlighted several mechanisms by which PAGln alleviated Dox-induced cardiotoxicity, including the lipid metabolic process, calcium-mediated signaling, positive regulation of store-operated calcium channel activity, and hypertrophic cardiomyopathy. In vitro and in vivo experiments confirmed that PAGln treatment could reverse the changes in the expression levels of Klb, Ece2, Nmnat2, Casq1, Pak1, and Apob in Dox. Molecular docking results showed that these genes had good binding activity with PAGln. PAGln shows potential in alleviating Dox-induced cardiotoxicity, with Ece2 identified as key regulatory molecules related to endothelial dysfunction. Show less
📄 PDF DOI: 10.1007/s10557-024-07665-y
APOB
Yang Wang, Lizhi Zhang, Xueyan Xia +1 more · 2026 · Oncology letters · added 2026-04-24
Primary renal small cell carcinoma (PRSCC) is a rare, poorly differentiated neuroendocrine carcinoma, and its clinicopathological features and the gene mutation spectrum associated with its pathogenes Show more
Primary renal small cell carcinoma (PRSCC) is a rare, poorly differentiated neuroendocrine carcinoma, and its clinicopathological features and the gene mutation spectrum associated with its pathogenesis remain to be elucidated. The present study aimed to characterize the genetic mutation spectrum associated with the pathogenesis of PRSCC, identify novel driver and predisposing genes for the disease, reveal its histopathological features associated with genetic mutations and systematically summarize the clinicopathologic characteristics and prognostic factors of PRSCC patients to provide a theoretical basis for molecularly targeted therapy and prognostic assessment of PRSCC. Whole-exome sequencing (WES) was performed on PRSCC samples to characterize the spectrum of genetic mutations and the results were validated using Sanger sequencing. Immunohistochemistry (IHC) was performed to reveal the histopathological features associated with these mutations. Furthermore, based on the published literature, a population-based study was conducted by searching PubMed and EMBASE databases to systematically summarize the clinicopathologic characteristics and prognostic factors of patients with PRSCC. WES identified 113 somatic single-nucleotide variants, 26 somatic insertions and deletions and mutations in 8 predisposing genes (DST, OR10H3, PTK2B, APOBR, ZNF606, CCN4, ADCK1, and MYH2) and 10 driver genes (KRTAP10-9, HYDIN, ZNF665, KRTAP10-2, GPAM, MUC12, KRT9, CCDC168, DUSP27 and MDC1). Sanger sequencing of germline DNA identified a germline A/G variant in the HYDIN sequence, first reported in PRSCC. Furthermore, IHC analysis indicated that PRSCC was positive for CD56, Syn, insulinoma associated protein 1, CgA and neuron specific enolase. In the population-based study, the majority of patients with PRSCC were elderly (57.92±15.75 years), with a pathological tumor (T) 3/4 stage (68.3%) and presented with lymph node involvement (51.7%) and distant metastasis (51.7%). T stage was an independent prognostic factor for overall survival in patients with PRSCC (P=0.004). Driver mutations in the HYDIN gene may be a key factor in the pathogenesis of PRSCC. HYDIN may serve as a prognostic marker and a target for immunotherapy in the management of PRSCC. However, due to the extreme rarity of PRSCC, the WES analysis in the present study was based solely on individual cases. To ensure the reliability and generalizability of genetic alterations detected by WES, additional PRSCC samples, along with cell and animal experiments, are warranted to confirm the role of these genetic variants (particularly HYDIN) in PRSCC pathogenesis. The functional role of HYDIN mutations in PRSCC pathogenesis requires further validation in future research. Show less
📄 PDF DOI: 10.3892/ol.2026.15556
APOBR
Yufei Han, Yixue Zhao, Zihao Zhou +8 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associ Show more
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associated with the incidence of ischemic heart disease (IHD). However, the causal association between ApoC3 and IHD development is unclear. ApoC3 expression changes were assessed in plasma from IHF patients/healthy donors and cardiac tissue from rodent models. 10-week-old male human ApoC3 transgenic (ApoC3 Overexpression of human ApoC3 in ApoC3 ApoC3 overexpression could activate cardiac TLR2/NF-κB to trigger the inflammation, oxidation, and apoptosis pathways, finally aggravating IHF in mice. Inactivation of ApoC3 could significantly alleviate IHF in hamsters. Show less
no PDF DOI: 10.1186/s12916-026-04855-3
APOC3
Yunqing Zhu, Rui Yuan, Zhe Lu +10 more · 2026 · Cell reports. Medicine · Elsevier · added 2026-04-24
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target gene Show more
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target genetic association study in two independent Han Chinese schizophrenia cohorts (N = 2,111/292 for discovery/validation). Leveraging metabolic genome-wide association studies, we generate genetic risk scores (GRSs) for lipid-modifying and hypoglycemic targets. Those with higher APOC3 (inhibited by volanesorsen/olezarsen) GRS exhibit attenuated triglycerides and improvement in negative symptoms assessed by Positive and Negative Syndrome Scale (PANSS) (β = 1.23, 95% confidence interval [CI]: 0.30-2.16). Higher GCK (activated by dorzagliatin) GRS is associated with decreased glucose and less improvement across PANSS total (β = -1.70, 95% CI: -2.91-0.50), positive, negative, general subscales. Causal associations of GCK are replicated in independent validation. The effects of APOC3 and GCK on negative symptom recovery are robust in hyperlipidemic/diabetic subgroups. Genetically proxied proteomics analysis provides further functional validation for the identified target-outcome associations. Our findings suggest volanesorsen/olezarsen as potential adjunctive candidates; dorzagliatin warrants prudence in schizophrenia with metabolic disturbance. Show less
📄 PDF DOI: 10.1016/j.xcrm.2026.102653
APOC3