👤 Xueyi Wang

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Also published as: A Wang, Ai-Ling Wang, Ai-Ting Wang, Aihua Wang, Aijun Wang, Aili Wang, Aimin Wang, Aiting Wang, Aixian Wang, Aiyun Wang, Aizhong Wang, Alexander Wang, Alice Wang, Allen Wang, Anlai Wang, Anli Wang, Annette Wang, Anni Wang, Anqi Wang, Anthony Z Wang, Anxiang Wang, Anxin Wang, Ao Wang, Aoli Wang, B R Wang, B Wang, Baihan Wang, Baisong Wang, Baitao Wang, Bangchen Wang, Banghui Wang, Bangmao Wang, Bangshing Wang, Bao Wang, Bao-Long Wang, Baocheng Wang, Baofeng Wang, Baogui Wang, Baojun Wang, Baoli Wang, Baolong Wang, Baoming Wang, Baosen Wang, Baowei Wang, Baoying Wang, Baoyun Wang, Bei Bei Wang, Bei Wang, Beibei Wang, Beilan Wang, Beilei Wang, Ben Wang, Benjamin H Wang, Benzhong Wang, Bi Wang, Bi-Dar Wang, Biao Wang, Bicheng Wang, Bijue Wang, Bin Wang, Bin-Xue Wang, Binbin Wang, Bing Qing Wang, Bing Wang, Binghai Wang, Binghan Wang, Bingjie Wang, Binglong Wang, Bingnan Wang, Bingyan Wang, Bingyu Wang, Binquan Wang, Biqi Wang, Bo Wang, Bochu Wang, Boyu Wang, Bruce Wang, C Wang, C Z Wang, Cai Ren Wang, Cai-Hong Wang, Cai-Yun Wang, Cailian Wang, Caiqin Wang, Caixia Wang, Caiyan Wang, Can Wang, Cangyu Wang, Carol A Wang, Catherine Ruiyi Wang, Cenxuan Wang, Chan Wang, Chang Wang, Chang-Yun Wang, Changduo Wang, Changjing Wang, Changliang Wang, Changlong Wang, Changqian Wang, Changtu Wang, Changwei Wang, Changying Wang, Changyu Wang, Changyuan Wang, Changzhen Wang, Chao Wang, Chao-Jun Wang, Chao-Yung Wang, Chaodong Wang, Chaofan Wang, Chaohan Wang, Chaohui Wang, Chaojie Wang, Chaokui Wang, Chaomeng Wang, Chaoqun Wang, Chaoxian Wang, Chaoyi Wang, Chaoyu Wang, Chaozhan Wang, Charles C N Wang, Chau-Jong Wang, Chen Wang, Chen-Cen Wang, Chen-Ma Wang, Chen-Yu Wang, Chenchen Wang, Chenfei Wang, Cheng An Wang, Cheng Wang, Cheng-Cheng Wang, Cheng-Jie Wang, Cheng-zhang Wang, Chengbin Wang, Chengcheng Wang, Chenggang Wang, Chenghao Wang, Chenghua Wang, Chengjian Wang, Chengjun Wang, Chenglin Wang, Chenglong Wang, Chengniu Wang, Chengqiang Wang, Chengshuo Wang, Chenguang Wang, Chengwen Wang, Chengyan Wang, Chengyu Wang, Chengze Wang, Chenji Wang, Chenliang Wang, Chenwei Wang, Chenxi Wang, Chenxin Wang, Chenxuan Wang, Chenyang Wang, Chenyao Wang, Chenyin Wang, Chenyu Wang, Chenzi Wang, Chi Chiu Wang, Chi Wang, Chi-Ping Wang, Chia-Chuan Wang, Chia-Lin Wang, Chien-Hsun Wang, Chien-Wei Wang, Chih-Chun Wang, Chih-Hao Wang, Chih-Hsien Wang, Chih-Liang Wang, Chih-Yang Wang, Chih-Yuan Wang, Chijia Wang, Ching C Wang, Ching-Jen Wang, Chiou-Miin Wang, Chong Wang, Chongjian Wang, Chonglong Wang, Chongmin Wang, Chongze Wang, Christina Wang, Christine Wang, Chu Wang, Chuan Wang, Chuan-Chao Wang, Chuan-Hui Wang, Chuan-Jiang Wang, Chuan-Wen Wang, Chuang Wang, Chuanhai Wang, Chuansen Wang, Chuansheng Wang, Chuanxin Wang, Chuanyue Wang, Chuduan Wang, Chun Wang, Chun-Chieh Wang, Chun-Juan Wang, Chun-Li Wang, Chun-Lin Wang, Chun-Ting Wang, Chun-Xia Wang, Chung-Hsi Wang, Chung-Hsing Wang, Chung-Teng Wang, Chunguo Wang, Chunhong Wang, Chuning Wang, Chunjiong Wang, Chunjuan Wang, Chunle Wang, Chunli Wang, Chunlong Wang, Chunmei Wang, Chunsheng Wang, Chunting Wang, Chunxia Wang, Chunxue Wang, Chunyan Wang, Chunyang Wang, Chunyi Wang, Chunyu Wang, Chuyao Wang, Cindy Wang, Ciyang Wang, Cong Wang, Congcong Wang, Congrong Wang, Congrui Wang, Cui Wang, Cui-Fang Wang, Cui-Shan Wang, Cuili Wang, Cuiling Wang, Cuizhe Wang, Cun-Yu Wang, Cunchuan Wang, Cunyi Wang, D Wang, Da Wang, Da-Cheng Wang, Da-Li Wang, Da-Yan Wang, Da-Zhi Wang, Dadong Wang, Dai Wang, Daijun Wang, Daiwei Wang, Daixi Wang, Dajia Wang, Dake Wang, Dali Wang, Dalong Wang, Dalu Wang, Dan Wang, Dan-Dan Wang, Danan Wang, Dandan Wang, Danfeng Wang, Dang Wang, Dangfeng Wang, Danling Wang, Danqing Wang, Danxin Wang, Danyang Wang, Dao Wen Wang, Dao-Wen Wang, Dao-Xin Wang, Daolong Wang, Daoping Wang, Daozhong Wang, Dapeng Wang, Daping Wang, Daqi Wang, Daqing Wang, David Q H Wang, David Q-H Wang, David Wang, Dawei Wang, Dayan Wang, Dayong Wang, Dazhi Wang, De-He Wang, Dedong Wang, Dehao Wang, Deli Wang, Delin Wang, Delong Wang, Demin Wang, Deming Wang, Dengbin Wang, Dennis Qing Wang, Dennis Wang, Deqi Wang, Deshou Wang, Dezhong Wang, Di Wang, Dinghui Wang, Dingting Wang, Dingxiang Wang, Dong D Wang, Dong Hao Wang, Dong Wang, Dong-Dong Wang, Dong-Jie Wang, Dong-Mei Wang, DongWei Wang, Dongdong Wang, Donggen Wang, Donghao Wang, Donghong Wang, Donghui Wang, Dongliang Wang, Donglin Wang, Dongmei Wang, Dongqin Wang, Dongshi Wang, Dongxia Wang, Dongxu Wang, Dongyan Wang, Dongyang Wang, Dongyi Wang, Dongying Wang, Dongyu Wang, Doudou Wang, Du Wang, Duan Wang, Duanyang Wang, Duo-Ping Wang, E Wang, Edward Wang, En-bo Wang, En-hua Wang, Endi Wang, Enhua Wang, Er-Jin Wang, Erfei Wang, Erika Y Wang, Ermao Wang, Erming Wang, Ertao Wang, Eryao Wang, Eunice S Wang, Exing Wang, F Wang, Fa-Kai Wang, Fan Wang, Fanchang Wang, Fang Wang, Fang-Tao Wang, Fangfang Wang, Fangjie Wang, Fangjun Wang, Fangyan Wang, Fangyong Wang, Fangyu Wang, Fanhua Wang, Fanwen Wang, Fanxiong Wang, Fei Wang, Fei-Fei Wang, Fei-Yan Wang, Feida Wang, Feifei Wang, Feijie Wang, Feimiao Wang, Feixiang Wang, Feiyan Wang, Fen Wang, Feng Wang, Feng-Sheng Wang, Fengchong Wang, Fengge Wang, Fenghua Wang, Fengliang Wang, Fenglin Wang, Fengling Wang, Fengqiang Wang, Fengyang Wang, Fengying Wang, Fengyong Wang, Fengyun Wang, Fengzhen Wang, Fengzhong Wang, Fu Wang, Fu-Sheng Wang, Fu-Yan Wang, Fu-Zhen Wang, Fubao Wang, Fubing Wang, Fudi Wang, Fuhua Wang, Fuqiang Wang, Furong Wang, Fuwen Wang, Fuxin Wang, Fuyan Wang, G Q Wang, G Wang, G-W Wang, Gan Wang, Gang Wang, Ganggang Wang, Ganglin Wang, Gangyang Wang, Ganyu Wang, Gao T Wang, Gao Wang, Gaofu Wang, Gaopin Wang, Gavin Wang, Ge Wang, Geng Wang, Genghao Wang, Gengsheng Wang, Gongming Wang, Guan Wang, Guan-song Wang, Guandi Wang, Guanduo Wang, Guang Wang, Guang-Jie Wang, Guang-Rui Wang, Guangdi Wang, Guanghua Wang, Guanghui Wang, Guangliang Wang, Guangming Wang, Guangsuo Wang, Guangwen Wang, Guangyan Wang, Guangzhi Wang, Guanrou Wang, Guanru Wang, Guansong Wang, Guanyun Wang, Gui-Qi Wang, Guibin Wang, Guihu Wang, Guihua Wang, Guimin Wang, Guiping Wang, Guiqun Wang, Guixin Wang, Guixue Wang, Guiying Wang, Guo-Du Wang, Guo-Hua Wang, Guo-Liang Wang, Guo-Ping Wang, Guo-Quan Wang, Guo-hong Wang, GuoYou Wang, Guobin Wang, Guobing Wang, Guodong Wang, Guohang Wang, Guohao Wang, Guoliang Wang, Guoling Wang, Guoping Wang, Guoqian Wang, Guoqiang Wang, Guoqing Wang, Guorong Wang, Guowen Wang, Guoxiang Wang, Guoxiu Wang, Guoyi Wang, Guoying Wang, Guozheng Wang, H J Wang, H Wang, H X Wang, H Y Wang, H-Y Wang, Hai Bo Wang, Hai Wang, Hai Yang Wang, Hai-Feng Wang, Hai-Jun Wang, Hai-Long Wang, Haibin Wang, Haibing Wang, Haibo Wang, Haichao Wang, Haichuan Wang, Haifei Wang, Haifeng Wang, Haihe Wang, Haihong Wang, Haihua Wang, Haijiao Wang, Haijing Wang, Haijiu Wang, Haikun Wang, Hailei Wang, Hailin Wang, Hailing Wang, Hailong Wang, Haimeng Wang, Haina Wang, Haining Wang, Haiping Wang, Hairong Wang, Haitao Wang, Haiwei Wang, Haixia Wang, Haixin Wang, Haixing Wang, Haiyan Wang, Haiying Wang, Haiyong Wang, Haiyun Wang, Haizhen Wang, Han Wang, Hanbin Wang, Hanbing Wang, Hanchao Wang, Handong Wang, Hang Wang, Hangzhou Wang, Hanmin Wang, Hanping Wang, Hanqi Wang, Hanying Wang, Hanyu Wang, Hanzhi Wang, Hao Wang, Hao-Ching Wang, Hao-Hua Wang, Hao-Tian Wang, Hao-Yu Wang, Haobin Wang, Haochen Wang, Haohao Wang, Haohui Wang, Haojie Wang, Haolong Wang, Haomin Wang, Haoming Wang, Haonan Wang, Haoping Wang, Haoqi Wang, Haoran Wang, Haowei Wang, Haoxin Wang, Haoyang Wang, Haoyu Wang, Haozhou Wang, He Wang, He-Cheng Wang, He-Ling Wang, He-Ping Wang, He-Tong Wang, Hebo Wang, Hechuan Wang, Heling Wang, Hemei Wang, Heming Wang, Heng Wang, Heng-Cai Wang, Hengjiao Wang, Hengjun Wang, Hequn Wang, Hesuiyuan Wang, Heyong Wang, Hezhi Wang, Hong Wang, Hong Yi Wang, Hong-Gang Wang, Hong-Hui Wang, Hong-Kai Wang, Hong-Qin Wang, Hong-Wei Wang, Hong-Xia Wang, Hong-Yan Wang, Hong-Yang Wang, Hong-Ying Wang, Hongbin Wang, Hongbing Wang, Hongbo Wang, Hongcai Wang, Hongda Wang, Hongdan Wang, Hongfang Wang, Hongjia Wang, Hongjian Wang, Hongjie Wang, Hongjuan Wang, Hongkun Wang, Honglei Wang, Hongli Wang, Honglian Wang, Honglun Wang, Hongmei Wang, Hongpin Wang, Hongqian Wang, Hongshan Wang, Hongsheng Wang, Hongtao Wang, Hongwei Wang, Hongxia Wang, Hongxin Wang, Hongyan Wang, Hongyang Wang, Hongyi Wang, Hongyin Wang, Hongying Wang, Hongyu Wang, Hongyuan Wang, Hongyue Wang, Hongyun Wang, Hongze Wang, Hongzhan Wang, Hongzhuang Wang, Horng-Dar Wang, Houchun Wang, Hsei-Wei Wang, Hsueh-Chun Wang, Hu WANG, Hua Wang, Hua-Qin Wang, Hua-Wei Wang, Huabo Wang, Huafei Wang, Huai-Zhou Wang, Huaibing Wang, Huaili Wang, Huaizhi Wang, Huajin Wang, Huajing Wang, Hualin Wang, Hualing Wang, Huan Wang, Huan-You Wang, Huang Wang, Huanhuan Wang, Huanyu Wang, Huaquan Wang, Huating Wang, Huawei Wang, Huaxiang Wang, Huayang Wang, Huei Wang, Hui Miao Wang, Hui Wang, Hui-Hui Wang, Hui-Li Wang, Hui-Nan Wang, Hui-Yu Wang, HuiYue Wang, Huie Wang, Huiguo Wang, Huihua Wang, Huihui Wang, Huijie Wang, Huijun Wang, Huilun Wang, Huimei Wang, Huimin Wang, Huina Wang, Huiping Wang, Huiquan Wang, Huiqun Wang, Huishan Wang, Huiting Wang, Huiwen Wang, Huixia Wang, Huiyan Wang, Huiyang Wang, Huiyao Wang, Huiying Wang, Huiyu Wang, Huizhen Wang, Huizhi Wang, Huming Wang, I-Ching Wang, Iris X Wang, Isabel Z Wang, J J Wang, J P Wang, J Q Wang, J Wang, J Z Wang, J-Y Wang, Jacob E Wang, James Wang, Jeffrey Wang, Jen-Chun Wang, Jen-Chywan Wang, Jennifer E Wang, Jennifer T Wang, Jennifer X Wang, Jenny Y Wang, Jeremy R Wang, Jeremy Wang, Ji M Wang, Ji Wang, Ji-Nuo Wang, Ji-Yang Wang, Ji-Yao Wang, Ji-zheng Wang, Jia Bei Wang, Jia Bin Wang, Jia Wang, Jia-Liang Wang, Jia-Lin Wang, Jia-Mei Wang, Jia-Peng Wang, Jia-Qi Wang, Jia-Qiang Wang, Jia-Ying Wang, Jia-Yu Wang, Jiabei Wang, Jiabo Wang, Jiafeng Wang, Jiafu Wang, Jiahao Wang, Jiahui Wang, Jiajia Wang, Jiakun Wang, Jiale Wang, Jiali Wang, Jialiang Wang, Jialin Wang, Jialing Wang, Jiamin Wang, Jiaming Wang, Jian Wang, Jian'an Wang, Jian-Bin Wang, Jian-Guo Wang, Jian-Hong Wang, Jian-Long Wang, Jian-Wei Wang, Jian-Xiong Wang, Jian-Yong Wang, Jian-Zhi Wang, Jian-chun Wang, Jianan Wang, Jianbing Wang, Jianbo Wang, Jianding Wang, Jianfang Wang, Jianfei Wang, Jiang Wang, Jiangbin Wang, Jiangbo Wang, Jianghua Wang, Jianghui Wang, Jiangong Wang, Jianguo Wang, Jianhao Wang, Jianhua Wang, Jianhui Wang, Jiani Wang, Jianjiao Wang, Jianjie Wang, Jianjun Wang, Jianle Wang, Jianli Wang, Jianlin Wang, Jianliu Wang, Jianlong Wang, Jianmei Wang, Jianmin Wang, Jianning Wang, Jianping Wang, Jianqin Wang, Jianqing Wang, Jianqun Wang, Jianru Wang, Jianshe Wang, Jianshu Wang, Jiantao Wang, Jianwei Wang, Jianwu Wang, Jianxiang Wang, Jianxin Wang, Jianye Wang, Jianying Wang, Jianyong Wang, Jianyu Wang, Jianzhang Wang, Jianzhi Wang, Jiao Wang, Jiaojiao Wang, Jiapan Wang, Jiaping Wang, Jiaqi Wang, Jiaqian Wang, Jiatao Wang, Jiawei Wang, Jiawen Wang, Jiaxi Wang, Jiaxin Wang, Jiaxing Wang, Jiaxuan Wang, Jiayan Wang, Jiayang Wang, Jiayi Wang, Jiaying Wang, Jiayu Wang, Jiazheng Wang, Jiazhi Wang, Jie Jin Wang, Jie Wang, Jieda Wang, Jieh-Neng Wang, Jiemei Wang, Jieqi Wang, Jieyan Wang, Jieyu Wang, Jifei Wang, Jiheng Wang, Jihong Wang, Jiliang Wang, Jilin Wang, Jin Wang, Jin'e Wang, Jin-Bao Wang, Jin-Cheng Wang, Jin-Da Wang, Jin-E Wang, Jin-Juan Wang, Jin-Liang Wang, Jin-Xia Wang, Jin-Xing Wang, Jincheng Wang, Jindan Wang, Jinfei Wang, Jinfeng Wang, Jinfu Wang, Jing J Wang, Jing Wang, Jing-Hao Wang, Jing-Huan Wang, Jing-Jing Wang, Jing-Long Wang, Jing-Min Wang, Jing-Shi Wang, Jing-Wen Wang, Jing-Xian Wang, Jing-Yi Wang, Jing-Zhai Wang, Jingang Wang, Jingchun Wang, Jingfan Wang, Jingfeng Wang, Jingheng Wang, Jinghong Wang, Jinghua Wang, Jinghuan Wang, Jingjing Wang, Jingkang Wang, Jinglin Wang, Jingmin Wang, Jingnan Wang, Jingqi Wang, Jingru Wang, Jingtong Wang, Jingwei Wang, Jingwen Wang, Jingxiao Wang, Jingyang Wang, Jingyi Wang, Jingying Wang, Jingyu Wang, Jingyue Wang, Jingyun Wang, Jingzhou Wang, Jinhai Wang, Jinhao Wang, Jinhe Wang, Jinhua Wang, Jinhuan Wang, Jinhui Wang, Jinjie Wang, Jinjin Wang, Jinkang Wang, Jinling Wang, Jinlong Wang, Jinmeng Wang, Jinning Wang, Jinping Wang, Jinqiu Wang, Jinrong Wang, Jinru Wang, Jinsong Wang, Jintao Wang, Jinxia Wang, Jinxiang Wang, Jinyang Wang, Jinyu Wang, Jinyue Wang, Jinyun Wang, Jinzhu Wang, Jiou Wang, Jipeng Wang, Jiqing Wang, Jiqiu Wang, Jisheng Wang, Jiu Wang, Jiucun Wang, Jiun-Ling Wang, Jiwen Wang, Jixuan Wang, Jiyan Wang, Jiying Wang, Jiyong Wang, Jizheng Wang, John Wang, Jou-Kou Wang, Joy Wang, Ju Wang, Juan Wang, Jue Wang, Jueqiong Wang, Jufeng Wang, Julie Wang, Juling Wang, Jun Kit Wang, Jun Wang, Jun Yi Wang, Jun-Feng Wang, Jun-Jie Wang, Jun-Jun Wang, Jun-Ling Wang, Jun-Sheng Wang, Jun-Sing Wang, Jun-Zhuo Wang, Jundong Wang, Junfeng Wang, Jung-Pan Wang, Junhong Wang, Junhua Wang, Junhui Wang, Junjiang Wang, Junjie Wang, Junjun Wang, Junkai Wang, Junke Wang, Junli Wang, Junlin Wang, Junling Wang, Junmei Wang, Junmin Wang, Junpeng Wang, Junping Wang, Junqin Wang, Junqing Wang, Junrui Wang, Junsheng Wang, Junshi Wang, Junshuang Wang, Junwen Wang, Junxiao Wang, Junya Wang, Junying Wang, Junyu Wang, Justin Wang, Jutao Wang, Juxiang Wang, K Wang, Kai Wang, Kai-Kun Wang, Kai-Wen Wang, Kaicen Wang, Kaihao Wang, Kaihe Wang, Kaihong Wang, Kaijie Wang, Kaijuan Wang, Kailu Wang, Kaiming Wang, Kaining Wang, Kaiting Wang, Kaixi Wang, Kaixu Wang, Kaiyan Wang, Kaiyuan Wang, Kaiyue Wang, Kan Wang, Kangli Wang, Kangling Wang, Kangmei Wang, Kangning Wang, Ke Wang, Ke-Feng Wang, KeShan Wang, Kehan Wang, Kehao Wang, Kejia Wang, Kejian Wang, Kejun Wang, Keke Wang, Keming Wang, Kenan Wang, Keqing Wang, Kesheng Wang, Kexin Wang, Keyan Wang, Keyi Wang, Keyun Wang, Kongyan Wang, Kuan Hong Wang, Kui Wang, Kun Wang, Kunhua Wang, Kunpeng Wang, Kunzheng Wang, L F Wang, L M Wang, L Wang, L Z Wang, L-S Wang, Laidi Wang, Laijian Wang, Laiyuan Wang, Lan Wang, Lan-Wan Wang, Lan-lan Wang, Lanlan Wang, Larry Wang, Le Wang, Le-Xin Wang, Ledan Wang, Lee-Kai Wang, Lei P Wang, Lei Wang, Lei-Lei Wang, Leiming Wang, Leishen Wang, Leli Wang, Leran Wang, Lexin Wang, Leying Wang, Li Chun Wang, Li Dong Wang, Li Wang, Li-Dong Wang, Li-E Wang, Li-Juan Wang, Li-Li Wang, Li-Na Wang, Li-San Wang, Li-Ting Wang, Li-Xin Wang, Li-Yong Wang, LiLi Wang, Lian Wang, Lianchun Wang, Liang Wang, Liang-Yan Wang, Liangfu Wang, Lianghai Wang, Liangli Wang, Liangliang Wang, Liangxu Wang, Lianshui Wang, Lianyong Wang, Libo Wang, Lichan Wang, Lichao Wang, Liewei Wang, Lifang Wang, Lifei Wang, Lifen Wang, Lifeng Wang, Ligang Wang, Lihong Wang, Lihua Wang, Lihui Wang, Lijia Wang, Lijin Wang, Lijing Wang, Lijuan Wang, Lijun Wang, Liling Wang, Lily Wang, Limeng Wang, Limin Wang, Liming Wang, Lin Wang, Lin-Fa Wang, Lin-Yu Wang, Lina Wang, Linfang Wang, Ling Jie Wang, Ling Wang, Ling-Ling Wang, Lingbing Wang, Lingda Wang, Linghua Wang, Linghuan Wang, Lingli Wang, Lingling Wang, Lingyan Wang, Lingzhi Wang, Linhua Wang, Linhui Wang, Linjie Wang, Linli Wang, Linlin Wang, Linping Wang, Linshu Wang, Linshuang Wang, Lintao Wang, Linxuan Wang, Linying Wang, Linyuan Wang, Liping Wang, Liqing Wang, Liqun Wang, Lirong Wang, Litao Wang, Liting Wang, Liu Wang, Liusong Wang, Liuyang Wang, Liwei Wang, Lixia Wang, Lixian Wang, Lixiang Wang, Lixin Wang, Lixing Wang, Lixiu Wang, Liyan Wang, Liyi Wang, Liying Wang, Liyong Wang, Liyuan Wang, Liyun Wang, Long Wang, Longcai Wang, Longfei Wang, Longsheng Wang, Longxiang Wang, Lou-Pin Wang, Lu Wang, Lu-Lu Wang, Lueli Wang, Lufang Wang, Luhong Wang, Luhui Wang, Lujuan Wang, Lulu Wang, Luofu Wang, Luping Wang, Luting Wang, Luwen Wang, Luxiang Wang, Luya Wang, Luyao Wang, Luyun Wang, Lynn Yuning Wang, M H Wang, M Wang, M Y Wang, M-J Wang, Maiqiu Wang, Man Wang, Mangju Wang, Manli Wang, Mao-Xin Wang, Maochun Wang, Maojie Wang, Maoju Wang, Mark Wang, Mei Wang, Mei-Gui Wang, Mei-Xia Wang, Meiding Wang, Meihui Wang, Meijun Wang, Meiling Wang, Meixia Wang, Melissa T Wang, Meng C Wang, Meng Wang, Meng Yu Wang, Meng-Dan Wang, Meng-Lan Wang, Meng-Meng Wang, Meng-Ru Wang, Meng-Wei Wang, Meng-Ying Wang, Meng-hong Wang, Mengge Wang, Menghan Wang, Menghui Wang, Mengjiao Wang, Mengjing Wang, Mengjun Wang, Menglong Wang, Menglu Wang, Mengmeng Wang, Mengqi Wang, Mengru Wang, Mengshi Wang, Mengwen Wang, Mengxiao Wang, Mengya Wang, Mengyao Wang, Mengying Wang, Mengyuan Wang, Mengyue Wang, Mengyun Wang, Mengze Wang, Mengzhao Wang, Mengzhi Wang, Mian Wang, Miao Wang, Mimi Wang, Min Wang, Min-sheng Wang, Ming Wang, Ming-Chih Wang, Ming-Hsi Wang, Ming-Jie Wang, Ming-Wei Wang, Ming-Yang Wang, Ming-Yuan Wang, Mingchao Wang, Mingda Wang, Minghua Wang, Minghuan Wang, Minghui Wang, Mingji Wang, Mingjin Wang, Minglei Wang, Mingliang Wang, Mingmei Wang, Mingming Wang, Mingqiang Wang, Mingrui Wang, Mingsong Wang, Mingxi Wang, Mingxia Wang, Mingxun Wang, Mingya Wang, Mingyang Wang, Mingyi Wang, Mingyu Wang, Mingzhi Wang, Mingzhu Wang, Minjie Wang, Minjun Wang, Minmin Wang, Minxian Wang, Minxiu Wang, Minzhou Wang, Miranda C Wang, Mo Wang, Mofei Wang, Monica Wang, Mu Wang, Mutian Wang, Muxiao Wang, Muxuan Wang, N Wang, Na Wang, Nan Wang, Nana Wang, Nanbu Wang, Nannan Wang, Nanping Wang, Neng Wang, Ni Wang, Niansong Wang, Ning Wang, Ningjian Wang, Ningli Wang, Ningyuan Wang, Nuan Wang, Oliver Wang, Ouchen Wang, P Jeremy Wang, P L Wang, P N Wang, P Wang, Pai Wang, Pan Wang, Pan-Pan Wang, Panfeng Wang, Panliang Wang, Pei Chang Wang, Pei Wang, Pei-Hua Wang, Pei-Jian Wang, Pei-Juan Wang, Pei-Wen Wang, Pei-Yu Wang, Peichang Wang, Peigeng Wang, Peihe Wang, Peijia Wang, Peijuan Wang, Peijun Wang, Peilin Wang, Peipei Wang, Peirong Wang, Peiwen Wang, Peixi Wang, Peiyao Wang, Peiyin Wang, Peng Wang, Peng-Cheng Wang, Pengbo Wang, Pengchao Wang, Pengfei Wang, Pengjie Wang, Pengju Wang, Penglai Wang, Penglong Wang, Pengpu Wang, Pengtao Wang, Pengxiang Wang, Pengyu Wang, Pin Wang, Ping Wang, Pingchuan Wang, Pingfeng Wang, Pingping Wang, Pintian Wang, Po-Jen Wang, Pu Wang, Q Wang, Q Z Wang, Qi Wang, Qi-Bing Wang, Qi-En Wang, Qi-Jia Wang, Qi-Qi Wang, Qian Wang, Qian-Liang Wang, Qian-Wen Wang, Qian-Zhu Wang, Qian-fei Wang, Qianbao Wang, Qiang Wang, Qiang-Sheng Wang, Qiangcheng Wang, Qianghu Wang, Qiangqiang Wang, Qianjin Wang, Qianliang Wang, Qianqian Wang, Qianrong Wang, Qianru Wang, Qianwen Wang, Qianxu Wang, Qiao Wang, Qiao-Ping Wang, Qiaohong Wang, Qiaoqi Wang, Qiaoqiao Wang, Qifan Wang, Qifei Wang, Qifeng Wang, Qigui Wang, Qihao Wang, Qihua Wang, Qijia Wang, Qiming Wang, Qin Wang, Qing Jun Wang, Qing K Wang, Qing Kenneth Wang, Qing Mei Wang, Qing Wang, Qing-Bin Wang, Qing-Dong Wang, Qing-Jin Wang, Qing-Liang Wang, Qing-Mei Wang, Qing-Yan Wang, Qing-Yuan Wang, Qing-Yun Wang, QingDong Wang, Qingchun Wang, Qingfa Wang, Qingfeng Wang, Qinghang Wang, Qingliang Wang, Qinglin Wang, Qinglu Wang, Qingming Wang, Qingping Wang, Qingqing Wang, Qingshi Wang, Qingshui Wang, Qingsong Wang, Qingtong Wang, Qingyong Wang, Qingyu Wang, Qingyuan Wang, Qingyun Wang, Qingzhong Wang, Qinqin Wang, Qinrong Wang, Qintao Wang, Qinwen Wang, Qinyun Wang, Qiong Wang, Qiqi Wang, Qirui Wang, Qishan Wang, Qiu-Ling Wang, Qiu-Xia Wang, Qiuhong Wang, Qiuli Wang, Qiuling Wang, Qiuning Wang, Qiuping Wang, Qiushi Wang, Qiuting Wang, Qiuyan Wang, Qiuyu Wang, Qiwei Wang, Qixue Wang, Qiyu Wang, Qiyuan Wang, Quan Wang, Quan-Ming Wang, Quanli Wang, Quanren Wang, Quanxi Wang, Qun Wang, Qunxian Wang, Qunzhi Wang, R Wang, Ran Wang, Ranjing Wang, Ranran Wang, Re-Hua Wang, Ren Wang, Rencheng Wang, Renjun Wang, Renqian Wang, Renwei Wang, Renxi Wang, Renxiao Wang, Renyuan Wang, Rihua Wang, Rikang Wang, Rixiang Wang, Robert Yl Wang, Rong Wang, Rong-Chun Wang, Rong-Rong Wang, Rong-Tsorng Wang, RongRong Wang, Rongjia Wang, Rongping Wang, Rongyun Wang, Ru Wang, RuNan Wang, Ruey-Yun Wang, Rufang Wang, Ruhan Wang, Rui Wang, Rui-Hong Wang, Rui-Min Wang, Rui-Ping Wang, Rui-Rui Wang, Ruibin Wang, Ruibing Wang, Ruibo Wang, Ruicheng Wang, Ruifang Wang, Ruijing Wang, Ruimeng Wang, Ruimin Wang, Ruiming Wang, Ruinan Wang, Ruining Wang, Ruiquan Wang, Ruiwen Wang, Ruixian Wang, Ruixin Wang, Ruixuan Wang, Ruixue Wang, Ruiying Wang, Ruizhe Wang, Ruizhi Wang, Rujie Wang, Ruling Wang, Ruming Wang, Runci Wang, Runuo Wang, Runze Wang, Runzhi Wang, Ruo-Nan Wang, Ruo-Ran Wang, Ruonan Wang, Ruosu Wang, Ruoxi Wang, Rurong Wang, Ruting Wang, Ruxin Wang, Ruxuan Wang, Ruyue Wang, S L Wang, S S Wang, S Wang, S X Wang, Sa A Wang, Sa Wang, Saifei Wang, Saili Wang, Sainan Wang, Saisai Wang, Sangui Wang, Sanwang Wang, Sasa Wang, Sen Wang, Seok Mui Wang, Seungwon Wang, Sha Wang, Shan Wang, Shan-Shan Wang, Shang Wang, Shangyu Wang, Shanshan Wang, Shao-Kang Wang, Shaochun Wang, Shaohsu Wang, Shaokun Wang, Shaoli Wang, Shaolian Wang, Shaoshen Wang, Shaowei Wang, Shaoyi Wang, Shaoying Wang, Shaoyu Wang, Shaozheng Wang, Shasha Wang, Shau-Chun Wang, Shawn Wang, Shen Wang, Shen-Nien Wang, Shenao Wang, Sheng Wang, Sheng-Min Wang, Sheng-Nan Wang, Sheng-Ping Wang, Sheng-Quan Wang, Sheng-Yang Wang, Shengdong Wang, Shengjie Wang, Shengli Wang, Shengqi Wang, Shengya Wang, Shengyao Wang, Shengyu Wang, Shengyuan Wang, Shenqi Wang, Sheri Wang, Shi Wang, Shi-Cheng Wang, Shi-Han Wang, Shi-Qi Wang, Shi-Xin Wang, Shi-Yao Wang, Shibin Wang, Shichao Wang, Shicung Wang, Shidong Wang, Shifa Wang, Shifeng Wang, Shih-Wei Wang, Shihan Wang, Shihao Wang, Shihua Wang, Shijie Wang, Shijin Wang, Shijun Wang, Shikang Wang, Shimiao Wang, Shiqi Wang, Shiqiang Wang, Shitao Wang, Shitian Wang, Shiwen Wang, Shixin Wang, Shixuan Wang, Shiyang Wang, Shiyao Wang, Shiyin Wang, Shiyu Wang, Shiyuan Wang, Shiyue Wang, Shizhi Wang, Shouli Wang, Shouling Wang, Shouzhi Wang, Shu Wang, Shu-Huei Wang, Shu-Jin Wang, Shu-Ling Wang, Shu-Na Wang, Shu-Song Wang, Shu-Xia Wang, Shu-qiang Wang, Shuai Wang, Shuaiqin Wang, Shuang Wang, Shuang-Shuang Wang, Shuang-Xi Wang, Shuangyuan Wang, Shubao Wang, Shudan Wang, Shuge Wang, Shuguang Wang, Shuhe Wang, Shuiliang Wang, Shuiyun Wang, Shujin Wang, Shukang Wang, Shukui Wang, Shun Wang, Shuning Wang, Shunjun Wang, Shunran Wang, Shuo Wang, Shuping Wang, Shuqi Wang, Shuqing Wang, Shuren Wang, Shusen Wang, Shusheng Wang, Shushu Wang, Shuu-Jiun Wang, Shuwei Wang, Shuxia Wang, Shuxin Wang, Shuya Wang, Shuye Wang, Shuyue Wang, Shuzhe Wang, Shuzhen Wang, Shuzhong Wang, Shyi-Gang P Wang, Si Wang, Sibo Wang, Sidan Wang, Sihua Wang, Sijia Wang, Silas L Wang, Silu Wang, Simeng Wang, Siqi Wang, Siqing Wang, Siwei Wang, Siyang Wang, Siyi Wang, Siying Wang, Siyu Wang, Siyuan Wang, Siyue Wang, Song Wang, Songjiao Wang, Songlin Wang, Songping Wang, Songsong Wang, Songtao Wang, Sophie H Wang, Stephani Wang, Su'e Wang, Su-Guo Wang, Su-Hua Wang, Sufang Wang, Sugai Wang, Sui Wang, Suiyan Wang, Sujie Wang, Sujuan Wang, Suli Wang, Sun Wang, Supeng Perry Wang, Suxia Wang, Suyun Wang, Suzhen Wang, T Q Wang, T Wang, T Y Wang, Taian Wang, Taicheng Wang, Taishu Wang, Tammy C Wang, Tao Wang, Taoxia Wang, Teng Wang, Tengfei Wang, Theodore Wang, Thomas T Y Wang, Tian Wang, Tian-Li Wang, Tian-Lu Wang, Tian-Tian Wang, Tian-Yi Wang, Tiancheng Wang, Tiange Wang, Tianhao Wang, Tianhu Wang, Tianhui Wang, Tianjing Wang, Tianjun Wang, Tianlin Wang, Tiannan Wang, Tianpeng Wang, Tianqi Wang, Tianqin Wang, Tianqing Wang, Tiansheng Wang, Tiansong Wang, Tiantian Wang, Tianyi Wang, Tianying Wang, Tianyuan Wang, Tielin Wang, Tienju Wang, Tieqiao Wang, Timothy C Wang, Ting Chen Wang, Ting Wang, Ting-Chen Wang, Ting-Hua Wang, Ting-Ting Wang, Tingting Wang, Tingye Wang, Tingyu Wang, Tom J Wang, Tong Wang, Tong-Hong Wang, Tongsong Wang, Tongtong Wang, Tongxia Wang, Tongxin Wang, Tongyao Wang, Tony Wang, Tzung-Dau Wang, Victoria Wang, Vivian Wang, W Wang, Wanbing Wang, Wanchun Wang, Wang Wang, Wangxia Wang, Wanliang Wang, Wanxia Wang, Wanyao Wang, Wanyi Wang, Wanyu Wang, Wayseen Wang, Wei Wang, Wei-En Wang, Wei-Feng Wang, Wei-Lien Wang, Wei-Qi Wang, Wei-Ting Wang, Wei-Wei Wang, Weicheng Wang, Weiding Wang, Weidong Wang, Weifan Wang, Weiguang Wang, Weihao Wang, Weihong Wang, Weihua Wang, Weijian Wang, Weijie Wang, Weijun Wang, Weilin Wang, Weiling Wang, 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Wang, Xin Wang, Xin Wei Wang, Xin-Hua Wang, Xin-Liang Wang, Xin-Ming Wang, Xin-Peng Wang, Xin-Qun Wang, Xin-Shang Wang, Xin-Xin Wang, Xin-Yang Wang, Xin-Yue Wang, Xinbo Wang, Xinchang Wang, Xinchao Wang, Xinchen Wang, Xincheng Wang, Xinchun Wang, Xindi Wang, Xindong Wang, Xing Wang, Xing-Huan Wang, Xing-Jin Wang, Xing-Jun Wang, Xing-Lei Wang, Xing-Ping Wang, Xing-Quan Wang, Xingbang Wang, Xingchen Wang, Xingde Wang, Xingguo Wang, Xinghao Wang, Xinghui Wang, Xingjie Wang, Xingjin Wang, Xinglei Wang, Xinglong Wang, Xingqin Wang, Xinguo Wang, Xingxin Wang, Xingxing Wang, Xingye Wang, Xingyu Wang, Xingyue Wang, Xingyun Wang, Xinhui Wang, Xinjing Wang, Xinjun Wang, Xinke Wang, Xinkun Wang, Xinli Wang, Xinlin Wang, Xinlong Wang, Xinmei Wang, Xinqi Wang, Xinquan Wang, Xinran Wang, Xinrong Wang, Xinru Wang, Xinrui Wang, Xinshuai Wang, Xintong Wang, Xinwen Wang, Xinxin Wang, Xinyan Wang, Xinyang Wang, Xinye Wang, Xinyi Wang, Xinying Wang, Xinyu Wang, Xinyue Wang, Xinzhou Wang, Xiong Wang, Xiongjun Wang, Xiru Wang, Xitian Wang, Xiu-Lian Wang, Xiu-Ping Wang, Xiufen Wang, Xiujuan Wang, Xiujun Wang, Xiurong Wang, Xiuwen Wang, Xiuyu Wang, Xiuyuan Hugh Wang, Xixi Wang, Xixiang Wang, Xiyan Wang, Xiyue Wang, Xizhi Wang, Xu Wang, Xu-Hong Wang, Xuan Wang, Xuan-Ren Wang, Xuan-Ying Wang, Xuanwen Wang, Xuanyi Wang, Xubo Wang, Xudong Wang, Xue Wang, Xue-Feng Wang, Xue-Hua Wang, Xue-Lei Wang, Xue-Lian Wang, Xue-Rui Wang, Xue-Yao Wang, Xue-Ying Wang, Xuebin Wang, Xueding Wang, Xuedong Wang, Xuefei Wang, Xuefeng Wang, Xueguo Wang, Xuehao Wang, Xuejie Wang, Xuejing Wang, Xueju Wang, Xuejun Wang, Xuekai Wang, Xuelai Wang, Xuelian Wang, Xuelin Wang, Xuemei Wang, Xuemin Wang, Xueping Wang, Xueqian Wang, Xueqin Wang, Xuesong Wang, Xueting Wang, Xuewei Wang, Xuewen Wang, Xuexiang Wang, Xueyan Wang, Xueying Wang, Xueyun Wang, Xuezhen Wang, Xuezheng Wang, Xufei Wang, Xujing Wang, Xuliang Wang, Xumeng Wang, Xun Wang, Xuping Wang, Xuqiao Wang, Xuru Wang, Xusheng Wang, Xv Wang, Y Alan Wang, Y B Wang, Y H Wang, Y L Wang, Y P Wang, Y Wang, Y Y Wang, Y Z Wang, Y-H Wang, Y-S Wang, Ya Qi Wang, Ya Wang, Ya Xing Wang, Ya-Han Wang, Ya-Jie Wang, Ya-Long Wang, Ya-Nan Wang, Ya-Ping Wang, Ya-Qin Wang, Ya-Zhou Wang, Yachen Wang, Yachun Wang, Yadong Wang, Yafang Wang, Yafen Wang, Yahong Wang, Yahui Wang, Yajie Wang, Yajing Wang, Yajun Wang, Yake Wang, Yakun Wang, Yali Wang, Yalin Wang, Yaling Wang, Yalong Wang, Yan Ming Wang, Yan Wang, Yan-Chao Wang, Yan-Chun Wang, Yan-Feng Wang, Yan-Ge Wang, Yan-Jiang Wang, Yan-Jun Wang, Yan-Ming Wang, Yan-Yang Wang, Yan-Yi Wang, Yan-Zi Wang, Yana Wang, Yanan Wang, Yanbin Wang, Yanbing Wang, Yanchun Wang, Yancun Wang, Yanfang Wang, Yanfei Wang, Yanfeng Wang, Yang Wang, Yang-Yang Wang, Yange Wang, Yanggan Wang, Yangpeng Wang, Yangyang Wang, Yangyufan Wang, Yanhai Wang, Yanhong Wang, Yanhua Wang, Yanhui Wang, Yani Wang, Yanjin Wang, Yanjun Wang, Yankun Wang, Yanlei Wang, Yanli Wang, Yanliang Wang, Yanlin Wang, Yanling Wang, Yanmei Wang, Yanming Wang, Yanni Wang, Yanong Wang, Yanping Wang, Yanqing Wang, Yanru Wang, Yanting Wang, Yanwen Wang, Yanxia Wang, Yanxing Wang, Yanyang Wang, Yanyun Wang, Yanzhe Wang, Yanzhu Wang, Yao Wang, Yaobin Wang, Yaochun Wang, Yaodong Wang, Yaohe Wang, Yaokun Wang, Yaoling Wang, Yaolou Wang, Yaoxian Wang, Yaoxing Wang, Yaozhi Wang, Yapeng Wang, Yaping Wang, Yaqi Wang, Yaqian Wang, Yaqiong Wang, Yaru Wang, Yatao Wang, Yating Wang, Yawei Wang, Yaxian Wang, Yaxin Wang, Yaxiong Wang, Yaxuan Wang, Yayu Wang, Yazhou Wang, Ye Wang, Ye-Ran Wang, Yefu Wang, Yeh-Han Wang, Yehan Wang, Yeming Wang, Yen-Feng Wang, Yen-Sheng Wang, Yeou-Lih Wang, Yeqi Wang, Yezhou Wang, Yi Fan Wang, Yi Lei Wang, Yi Wang, Yi-Cheng Wang, Yi-Chuan Wang, Yi-Ming Wang, Yi-Ni Wang, Yi-Ning Wang, Yi-Shan Wang, Yi-Shiuan Wang, Yi-Shu Wang, Yi-Tao Wang, Yi-Ting Wang, Yi-Wen Wang, Yi-Xin Wang, Yi-Xuan Wang, Yi-Yi Wang, Yi-Ying Wang, Yi-Zhen Wang, Yi-sheng Wang, YiLi Wang, Yian Wang, Yibin Wang, Yibing Wang, Yichen Wang, Yicheng Wang, Yichuan Wang, Yifan Wang, Yifei Wang, Yigang Wang, Yige Wang, Yihan Wang, Yihao Wang, Yihe Wang, Yijin Wang, Yijing Wang, Yijun Wang, Yikang Wang, Yike Wang, Yilin Wang, Yilu Wang, Yimeng Wang, Yiming Wang, Yin Wang, Yin-Hu Wang, Yinan Wang, Yinbo Wang, Yindan Wang, Ying Wang, Ying-Piao Wang, Ying-Wei Wang, Ying-Zi Wang, Yingbo Wang, Yingcheng Wang, Yingchun Wang, Yingfei Wang, Yingge Wang, Yinggui Wang, Yinghui Wang, Yingjie Wang, Yingmei Wang, Yingna Wang, Yingping Wang, Yingqiao Wang, Yingtai Wang, Yingte Wang, Yingwei Wang, Yingwen Wang, Yingxiong Wang, Yingxue Wang, Yingyi Wang, Yingying Wang, Yingzi Wang, Yinhuai Wang, Yining E Wang, Yinong Wang, Yinsheng Wang, Yintao Wang, Yinuo Wang, Yinxiong Wang, Yinyin Wang, Yiou Wang, Yipeng Wang, Yiping Wang, Yiqi Wang, Yiqiao Wang, Yiqin Wang, Yiqing Wang, Yiquan Wang, Yirong Wang, Yiru Wang, Yirui Wang, Yishan Wang, Yishu Wang, Yitao Wang, Yiting Wang, Yiwei Wang, Yiwen Wang, Yixi Wang, Yixian Wang, Yixuan Wang, Yiyan Wang, Yiyi Wang, Yiying Wang, Yizhe Wang, Yong Wang, Yong-Bo Wang, Yong-Gang Wang, Yong-Jie Wang, Yong-Jun Wang, Yong-Tang Wang, Yongbin Wang, Yongdi Wang, Yongfei Wang, Yongfeng Wang, Yonggang Wang, Yonghong Wang, Yongjie Wang, Yongjun Wang, Yongkang Wang, Yongkuan Wang, Yongli Wang, Yongliang Wang, Yonglun Wang, Yongmei Wang, Yongming Wang, Yongni Wang, Yongqiang Wang, Yongqing Wang, Yongrui Wang, Yongsheng Wang, Yongxiang Wang, Yongyi Wang, Yongzhong Wang, You Wang, Youhua Wang, Youji Wang, Youjie Wang, Youli Wang, Youzhao Wang, Youzhi Wang, Yu Qin Wang, Yu Tian Wang, Yu Wang, Yu'e Wang, Yu-Chen Wang, Yu-Fan Wang, Yu-Fen Wang, Yu-Hang Wang, Yu-Hui Wang, Yu-Ping Wang, Yu-Ting Wang, Yu-Wei Wang, Yu-Wen Wang, Yu-Ying Wang, Yu-Zhe Wang, Yu-Zhuo Wang, Yuan Wang, Yuan-Hung Wang, Yuanbo Wang, Yuanfan Wang, Yuanjiang Wang, Yuanli Wang, Yuanqiang Wang, Yuanqing Wang, Yuanyong Wang, Yuanyuan Wang, Yuanzhen Wang, Yubing Wang, Yubo Wang, Yuchen Wang, Yucheng Wang, Yuchuan Wang, Yudong Wang, Yue Wang, Yue-Min Wang, Yue-Nan 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Zhizheng Wang, Zhizhong Wang, Zhong Wang, Zhong-Hao Wang, Zhong-Hui Wang, Zhong-Ping Wang, Zhong-Yu Wang, ZhongXia Wang, Zhongfang Wang, Zhongjing Wang, Zhongli Wang, Zhonglin Wang, Zhongqun Wang, Zhongsu Wang, Zhongwei Wang, Zhongyi Wang, Zhongyu Wang, Zhongyuan Wang, Zhongzhi Wang, Zhou Wang, Zhou-Ping Wang, Zhoufeng Wang, Zhouguang Wang, Zhuangzhuang Wang, Zhugang Wang, Zhulin Wang, Zhulun Wang, Zhuo Wang, Zhuo-Hui Wang, Zhuo-Jue Wang, Zhuo-Xin Wang, Zhuowei Wang, Zhuoying Wang, Zhuozhong Wang, Zhuqing Wang, Zi Wang, Zi Xuan Wang, Zi-Hao Wang, Zi-Qi Wang, Zi-Yi Wang, Zicheng Wang, Zifeng Wang, Zihan Wang, Ziheng Wang, Zihua Wang, Zihuan Wang, Zijian Wang, Zijie Wang, Zijue Wang, Zijun Wang, Zikang Wang, Zikun Wang, Ziliang Wang, Zilin Wang, Ziling Wang, Zilong Wang, Zining Wang, Ziping Wang, Ziqi Wang, Ziqian Wang, Ziqiang Wang, Ziqing Wang, Ziqiu Wang, Zitao Wang, Ziwei Wang, Zixi Wang, Zixia Wang, Zixian Wang, Zixiang Wang, Zixu Wang, Zixuan Wang, Ziyi Wang, Ziying Wang, Ziyu 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Qiuying Cao, Liping Yang, Mengyuan Liu +4 more · 2026 · Clinical laboratory · added 2026-04-24
Aplastic anemia (AA) is a bone marrow failure disease characterized by immune-mediated destruction of hematopoietic stem and progenitor cells. Bone marrow adiposity represents a typical pathological m Show more
Aplastic anemia (AA) is a bone marrow failure disease characterized by immune-mediated destruction of hematopoietic stem and progenitor cells. Bone marrow adiposity represents a typical pathological manifestation observed in AA. The aim of this study was to establish a murine model of AA using immune-mediated methods and assess the impact of rapamycin (Rapa) and cyclosporin A (CsA) on bone marrow adiposity. The AA murine model was induced by 137Cs γ-ray irradiation and allogeneic lymphocyte infusion. Rapamycin and cyclosporine were administered intraperitoneally. Hematological parameters, bone marrow adiposity, and lipidomic profiles were evaluated. Gene and protein expression related to adipogenesis were analyzed. The Hematoxylin and Eosin (HE) and BODIPY staining results revealed an increase in adipocyte area and a decrease in hematopoietic area in AA murine. Relative expression levels of PPAR-γ, LPL, and Ap2 mRNA were significantly elevated in bone marrow mononuclear cells (BMMNCs) from the AA group. Lipidomics analysis indicated notable differences between the AA group and the normal group regarding lipid metabolism, particularly concerning glycerolphospholipids. Following treatment with Rapa and CsA, not only did the hematological profile of AA murine recover, but there was also a reduction in bone marrow adiposity in HE and BODIPY staining and a decrease in the gene and protein expression of PPAR-γ, LPL, and Ap2. The lipidomic analysis revealed a reduction in the lipid metabolism of AA murine following Rapa and CsA treatment in AA murine, particularly acylcarnitin (ACar), phosphatidylserine (PS) and phosphatidylethanolamine (PE). The enrichment results of the KEGG pathway analysis demonstrated a statistically significant role of C42H82N010P in glycerophospholipid metabolism. Our study used lipidomics for the first time to investigate lipid metabolism in AA murine, revealing that Rapa and CsA primarily downregulate glycerophospholipid metabolism as a means to alleviate bone marrow adiposity in AA murine. Show less
no PDF DOI: 10.7754/Clin.Lab.2025.250207
LPL
Mingyu Wang, Hao Zheng, Xing Chen +1 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Subcutaneous fat deposition critically impacts duck meat quality and feed efficiency. We monitored growth and fat deposition in ducks from 30 to 70 days, performed transcriptomics on adipose tissue, a Show more
Subcutaneous fat deposition critically impacts duck meat quality and feed efficiency. We monitored growth and fat deposition in ducks from 30 to 70 days, performed transcriptomics on adipose tissue, and established an in vitro duck preadipocyte model to assess Fat deposition peaked at 50 days. Show less
📄 PDF DOI: 10.3390/ani16060975
LPL
Boyu Wang, Yantao Li, Yake Wang +4 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Fat deposition plays a crucial role in regulating the production performance and meat quality of broilers. Although the heterogeneity of mammalian adipocytes has been extensively studied, research on Show more
Fat deposition plays a crucial role in regulating the production performance and meat quality of broilers. Although the heterogeneity of mammalian adipocytes has been extensively studied, research on the molecular mechanisms underlying differences in lipid droplet accumulation in avian adipocytes remains limited. This study confirmed a significant positive correlation (R Show less
📄 PDF DOI: 10.3390/ani16060885
LPL
Lin Wang, Zilu Cai, Fusheng Li +5 more · 2026 · Frontiers in microbiology · Frontiers · added 2026-04-24
This study investigated the synergistic effects of combining ferulic acid esterase (FAE)-producing lactobacillus with homofermentative and heterofermentative lactic acid bacteria (LAB) on the fermenta Show more
This study investigated the synergistic effects of combining ferulic acid esterase (FAE)-producing lactobacillus with homofermentative and heterofermentative lactic acid bacteria (LAB) on the fermentation quality, nutrient composition, and aerobic stability of corn stover silage. In this study, five LAB strains were isolated and identified from various silages. Among them, strain AR1 was identified as The results showed that the co-fermentation of homofermentative and heterofermentative strains improved silage fermentation quality. The addition of AR1 to the combination of homofermentative and heterofermentative LAB further enhanced lactic acid and acetic acid production, decreased neutral and acid detergent fiber contents, and improved aerobic stability. Principal component analysis and membership function analysis identified the LPLR group (an equal mixture of AR1, R10, JF2, and R3 at 1 × 10 Show less
📄 PDF DOI: 10.3389/fmicb.2026.1755745
LPL
Lige Huang, Rongping Wang, Fangting Zhou +3 more · 2026 · Animal bioscience · added 2026-04-24
Acetyl-CoA synthetase 2 (ACSS2) is the obligatory gatekeeper for converting rumen-derived acetate into acetyl-CoA in ruminants. However, whether ACSS2 actively regulates the transcriptional networks g Show more
Acetyl-CoA synthetase 2 (ACSS2) is the obligatory gatekeeper for converting rumen-derived acetate into acetyl-CoA in ruminants. However, whether ACSS2 actively regulates the transcriptional networks governing lactation, beyond its catalytic role, remains unclear. This study aimed to elucidate the molecular characteristics of buffalo ACSS2 and investigate its function as a central node in the metabolic-transcriptional circuitry of buffalo mammary epithelial cells (BuMECs). The complete coding sequence of buffalo ACSS2 was characterized, and its expression was analyzed across lactation stages. Subcellular localization was determined via high-resolution confocal microscopy. We utilized siRNA-mediated knockdown in BuMECs to assess cell viability, triglyceride (TAG) content, and the expression of core metabolic and regulatory genes to dissect the underlying molecular mechanisms. ACSS2 expression was highly enriched in lactating mammary tissue, and the protein exhibited a dual nucleocytoplasmic distribution. ACSS2 knockdown induced a "dual collapse" of cellular function: it severely impaired lipogenesis (significantly reducing intracellular TAG and downregulating FASN, ACACA, SCD, CD36, LPL, FABP3, DGAT1, DGAT2 and AGPAT6) and arrested cell proliferation (downregulating the G1/S phase regulators CCND1, CCNE1, CDK2 and CDK4). Mechanistically, ACSS2 depletion dismantled the transcriptional machinery itself, suppressing the mRNA levels of master regulators SREBF1 and PPARG. Crucially, this collapse was accompanied by the paradoxical upregulation of the SREBP1-inhibitor INSIG1, suggesting that metabolic stress triggers an INSIG1-mediated blockade of the feedback loop. This study establishes ACSS2 as a critical metabolic checkpoint in the buffalo mammary gland, rather than a passive enzyme. We propose a model where ACSS2 maintains a reciprocal positive feedback loop with SREBP1 and PPARG. By ensuring sufficient acetyl-CoA to suppress INSIG1 and support histone acetylation (implied by nuclear localization), ACSS2 couples substrate availability to the stability of the lipogenic program and cell cycle progression. These findings reveal an evolutionarily conserved metabolic-epigenetic axis essential for high-efficiency lactation in ruminants. Show less
no PDF DOI: 10.5713/ab.250642
LPL
Hualin Wang, Rui Shang, Chae Syng Lee +2 more · 2026 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Diabetes affects over half a billion people worldwide, with cardiovascular disease being its leading cause of death, either occurring secondary to atherosclerosis or due to an intrinsic defect in hear Show more
Diabetes affects over half a billion people worldwide, with cardiovascular disease being its leading cause of death, either occurring secondary to atherosclerosis or due to an intrinsic defect in heart muscle (diabetic cardiomyopathy, DbCM). One instigator for DbCM is impaired cardiac metabolism characterized by excessive fatty acid (FA) delivery and utilization by the heart, causing oxidative stress and toxic lipid accumulation. Inhibition of vascular endothelial growth factor B (VEGFB) has been shown to counter these factors associated with abnormal cardiac metabolism by inducing metabolic flexibility and preventing cardiac lipid accumulation in Type 2 diabetes. However, its impact on lipoprotein lipase (LPL) and the sources of FA for cardiac use in Type 1 diabetes is unknown. Global Show less
📄 PDF DOI: 10.3389/fphar.2026.1759414
LPL
Tianyu Ma, Tingting Liu, Bolin Yuan +2 more · 2026 · Open life sciences · added 2026-04-24
This article presents a case of a rare lymphoplasmacytic lymphoma (LPL) complicated by spherocytosis in a 74-year-old male. The patient reported progressive fatigue and anemia and had a medical histor Show more
This article presents a case of a rare lymphoplasmacytic lymphoma (LPL) complicated by spherocytosis in a 74-year-old male. The patient reported progressive fatigue and anemia and had a medical history of type 2 diabetes, hypertension, and cerebral infarction. Laboratory tests indicated moderate anemia (hemoglobin 80 g/L) and a monoclonal increase in serum IgG. A bone marrow biopsy combined with immunohistochemistry confirmed the diagnosis of lymphoplasmacytic lymphoma (IgG-κ type, MYD88 L265P negative). A peripheral blood smear revealed an increase in spherocytes, a positive acidified glycerolysis test (AGLT50), abnormal erythrocyte osmotic fragility, and a negative direct antiglobulin test. Genetic screening for hereditary erythrocyte diseases showed no pathogenic variations. The patient's condition stabilized following targeted therapy with zanubrutinib and rituximab (ZR regimen). This case underscores the complexity of diagnosing dual hematological anomalies, highlights the importance of multidisciplinary collaboration, and seeks to explore the potential pathophysiological link between LPL and spherocytosis, offering a reference for diagnosis and treatment in similar clinical scenarios. Show less
📄 PDF DOI: 10.1515/biol-2025-1286
LPL
Heyu Chai, Haowen Cheng, Jiayang Sun +6 more · 2026 · Animal microbiome · BioMed Central · added 2026-04-24
Intramuscular fat (IMF) is a key determinant of meat quality, influencing tenderness, juiciness, and flavor. Previous studies have reported that the deposition of IMF is controlled by various factors. Show more
Intramuscular fat (IMF) is a key determinant of meat quality, influencing tenderness, juiciness, and flavor. Previous studies have reported that the deposition of IMF is controlled by various factors. However, there is a shortage of research exploring the variations in IMF deposition across age groups from a microbial perspective. This study evaluated the differences in IMF deposition between yearling (1-year-old) and mature (4-year-old) Longdong Cashmere goats and analyzed its association with gut microbiota. The results revealed that the IMF content in shoulder meat and blood lipid levels increased with age (p < 0.05). Conversely, the contents of lipoprotein lipase (LPL) in the liver and duodenum significantly decreased with age. Microbial diversity differed between the two age groups, with specific microbiota identified from the gut of goats involved in the lipid metabolism pathway. The concentrations of valeric and isovaleric acids in the rumen, as well as acetic, propionic and isovaleric acids in the colon, were higher in yearling goats than in mature goats (p < 0.05). Spearman correlation analysis of IMF deposition indicators with gut microbiota revealed that, within the rumen, the abundances of CAG-791 and Sodaliphilus were positively correlated with IMF content in shoulder meat and TG levels, while exhibiting a negative correlation with the contents of valeric acids. Furthermore, the abundance of Clostridium_R showed a positive association with IMF content in shoulder meat and with the abundances of CAG-791and Sodaliphilus. In contrast, the abundance of Bact₁₁ was negatively correlated with IMF content in shoulder meat, TG levels, and the abundances of CAG-791, Sodaliphilus and Clostridium_R. Within the abomasum, the abundances of UMGS and Hylemonella₅₈₂₃₀₈ were correlated with IMF content in the shoulder meat, as well as serum LDL and VLDL levels. This study provides significant insights into the age-dependent gut microbiota associated with intramuscular fat deposition in goats and identifies several potential gut microbiota for further research on their impacts on IMF deposition. Show less
📄 PDF DOI: 10.1186/s42523-026-00530-3
LPL
Yun He, Yaoyao Liu, Junwen Ouyang +6 more · 2026 · Pharmaceuticals (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ph19020285
LPL
Zikun Wang, Yingchen Sheng, Wei Hong · 2026 · Chemistry (Weinheim an der Bergstrasse, Germany) · Wiley · added 2026-04-24
Organic afterglow materials are garnering increasing attention due to their great potential in practical applications. To date, most organic afterglow materials can achieve only millisecond- or second Show more
Organic afterglow materials are garnering increasing attention due to their great potential in practical applications. To date, most organic afterglow materials can achieve only millisecond- or second-scale afterglow lifetimes, while realizing long persistent luminescence (LPL) lasting for hours or even days remains a significant challenge. Since 2017, when Adachi and Kabe first achieved LPL lasting over an hour in a purely organic system, LPL materials have undergone a decade of development, with polymer-based LPL materials exhibiting rapid progress in recent years. The energy level alignment in exciplex polymers and the resulting charge separation characteristics are closely associated with their unique LPL functional properties, primarily stemming from the well-designed donor and acceptor organic structures. This article provides a systematic review of the design strategies for LPL polymers and summarizes their current application advances in optical anti-counterfeiting, night-time illumination, smart textiles, and other related fields. Show less
no PDF DOI: 10.1002/chem.202600016
LPL
Changle Zhao, Xiang Liu, Xi Peng +5 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The Hedgehog (Hh) signaling pathway is a key regulator of adipogenesis and lipid metabolism. However, the specific role of its receptor, Patched2 (Ptch2), in these processes remains unclear. Here, usi Show more
The Hedgehog (Hh) signaling pathway is a key regulator of adipogenesis and lipid metabolism. However, the specific role of its receptor, Patched2 (Ptch2), in these processes remains unclear. Here, using a CRISPR/Cas9-mediated Show less
📄 PDF DOI: 10.3390/ani16030405
LPL
Z Meng, Y Liu, W Yang +4 more · 2026 · Animal : an international journal of animal bioscience · Elsevier · added 2026-04-24
Backfat thickness, a key selection trait in pig-breeding programmes, has traditionally been measured as a homogeneous layer. However, backfat is anatomically structured into three distinct layers, and Show more
Backfat thickness, a key selection trait in pig-breeding programmes, has traditionally been measured as a homogeneous layer. However, backfat is anatomically structured into three distinct layers, and each layer likely contributes differently to carcass quality. In addition, previous studies have shown that the deposition of the third layer of backfat is phenotypically correlated with intramuscular fat (IMF). Therefore, targeted selection for specific backfat layers, particularly the third layer, represents a potential strategy to increase IMF content while maintaining a high lean meat percentage. However, the genetic architecture of these distinct porcine backfat layers remains poorly understood. The aim of this study was to estimate the genetic parameters and identify key candidate genes underlying the three backfat layers. We collected B-mode ultrasound images from 561 Landrace pigs to measure individual layer thickness, followed by DNA extraction, genotyping, genetic parameter estimation, and a genome-wide association study (GWAS). Our measurements showed that the first layer of backfat (FBF) is the thickest, followed by the second (SBF) and the third (TBF) layers. Genetic parameter estimation yielded heritability estimates of 0.37, 0.42, 0.38, 0.34, 0.32, 0.24, and 0.21 for total backfat (BF), FBF, FBF/BF, SBF, SBF/BF, TBF, and TBF/BF, respectively. Through integrated analysis of GWAS, Bayesian fine-mapping, and gene annotation, we identified 15 non-redundant candidate genes associated with different backfat layers. These included two genes (SOAT1 and ACBD6) shared by BF and SBF, LPL for BF and FBF, and CAND1 for TBF and TBF/BF. Additionally, SERPINA12 and SERPINA6 were associated with BF; PRKAG1 and PRDM16 with FBF; EPRS1 and SLC39A10 with FBF/BF; PTGES and CRAT with SBF; and ACLY, CAVIN1, and PDZRN3 with SBF/BF. Our results indicate that each layer is governed by a distinct set of genes, which advances our understanding of the genetic basis of backfat layers in pigs. Show less
no PDF DOI: 10.1016/j.animal.2026.101764
LPL
Guan Wang, Liming Tian, Shuhong Zhang +8 more · 2026 · Biology · MDPI · added 2026-04-24
Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an i Show more
Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an ideal model for elucidating lipid metabolism regulation. Integrated sRNA-Seq and RNA-Seq analysis identified 521 differentially expressed genes and 144 miRNAs, which were significantly enriched in lipid metabolism pathways, including fatty acid metabolism and PPAR signaling. Key candidate genes ( Show less
📄 PDF DOI: 10.3390/biology15020179
LPL
Hui Jiang, Ming-Hui Geng, Yue-Mei Zhan +7 more · 2026 · Hereditas · BioMed Central · added 2026-04-24
The primary renal complication of diabetes mellitus is diabetic kidney disease (DKD). The precise pathogenic mechanisms of DKD remain poorly elucidated. The aim of this study was to identify potential Show more
The primary renal complication of diabetes mellitus is diabetic kidney disease (DKD). The precise pathogenic mechanisms of DKD remain poorly elucidated. The aim of this study was to identify potential energy metabolism-related genes associated with DKD. The GSE30529 and GSE30528 datasets were retrieved from the Gene Expression Omnibus, and energy metabolism-related genes were obtained from the GeneCards database. Differentially expressed genes (DEGs) between DKD and control groups were analyzed. The biological functions and signaling pathways of these DEGs were evaluated using Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). The diagnostic performance of hub genes for DKD was assessed using receiver operating characteristic (ROC) curve analysis. Expression levels of five significant energy metabolism-related genes were validated through immunohistochemistry. The Nephroseq V5 tool was used to evaluate gene expression in DKD and to determine correlations between gene expression and renal function in patients with DKD. A total of 17 energy metabolism-related DEGs were identified. Five hub genes-ALB, IGF1, CD36, LPL, and UCP2-were identified. Among these, CD36 and LPL demonstrated relatively high diagnostic accuracy for DKD. The findings suggest that CD36, IGF1, LPL, and UCP2 may serve as potential biomarkers for DKD. The genes CD36, IGF1, LPL, and UCP2 represent potential energy metabolism-related biomarkers with possible applications in the diagnosis and treatment of DKD. Show less
📄 PDF DOI: 10.1186/s41065-026-00632-7
LPL
Suhua Wu, Juan Peng, Xiaodong Wang +11 more · 2026 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Obesity has become a global epidemic and a major contributor to the development of Type 2 diabetes (T2D) through the promotion of insulin resistance. Emerging evidence has shown that GPX4 expression i Show more
Obesity has become a global epidemic and a major contributor to the development of Type 2 diabetes (T2D) through the promotion of insulin resistance. Emerging evidence has shown that GPX4 expression is reduced in macrophages under hyperglycemic conditions; however, the involvement of macrophage-specific GPX4 in obesity-associated insulin resistance remains unclear. We generated macrophage-specific Gpx4 knockout (Gpx4 Show less
📄 PDF DOI: 10.1096/fj.202503596R
LPL
A Dębska, S Wang, K Jednoróg +1 more · 2026 · NeuroImage · Elsevier · added 2026-04-24
Reading acquisition requires linking visual symbols with speech sounds, leading to the development of neural sensitivity to print. While prior studies have shown the importance of cross-modal integrat Show more
Reading acquisition requires linking visual symbols with speech sounds, leading to the development of neural sensitivity to print. While prior studies have shown the importance of cross-modal integration in spoken language areas, the higher-level visual area (lvOT) processing printed words remained more context-dependent. This longitudinal study investigated whether the lvOT undergoes cross-modal reorganization to facilitate print-speech integration during reading development and how these changes relate to reading skills. We followed children over two years, beginning at the onset of formal reading instruction. We examine lvOT responses to print-specific, speech-specific, and its convergence at whole-brain, region of interest, and voxel-based levels. Results showed that with reading experience, the initial print-specific responses in the lvOT are transformed into responses to both print and speech input. This transformation positively correlates with reading skills, especially in early stages of reading acquisition. These findings suggest that reading acquisition drives cross-modal reorganization within the lvOT, enabling the area to integrate print and speech. They shed light on the broader neural mechanisms supporting reading development. Show less
no PDF DOI: 10.1016/j.neuroimage.2025.121678
LPL
Qian Fang, Mingzhe Yuan, Zhennan Sun +3 more · 2026 · Environmental research · Elsevier · added 2026-04-24
To investigate the toxic effects of PFNA on aquatic organisms, this study used large yellow croaker (L. crocea) as a model and examined the impacts of 1000 ng/L PFNA exposure for 3, 7, and 14 days on Show more
To investigate the toxic effects of PFNA on aquatic organisms, this study used large yellow croaker (L. crocea) as a model and examined the impacts of 1000 ng/L PFNA exposure for 3, 7, and 14 days on the hepatic and intestinal systems. Histopathological examination, transcriptomic profiling, and 16S rRNA gene sequencing were employed to evaluate tissue damage, gene expression changes, and gut microbial alterations. The results revealed that PFNA exposure induced progressive histopathological changes in the liver, including nuclear enlargement and vacuolization, with increasing severity over time. In the intestine, PFNA caused structural damage to villi, characterized initially by vacuolization and subsequently by erosion, swelling, and dissolution as exposure duration increased. Transcriptomic analysis of liver showed early activation of the peroxisome proliferator-activated receptor (PPAR) signaling pathway, followed by the predominant enrichment of the phosphatidylinositol-3-kinase/protein kinase B (PI3K-Akt) pathway at later stages. These findings suggest a "two-phase" mechanism by which PFNA disrupted lipid and carbohydrate metabolism. Gut microbiota analysis showed that PFNA exposure significantly reduced α-diversity, increased the abundance of Proteobacteria, enriched opportunistic pathogens such as Vibrio spp., and altered functional profiles related to amino acid and carbohydrate metabolism. Correlation analysis identified significant associations between specific gut microbial taxa (e.g., Deferribacterota, Dependentiae) and the expression levels of key hepatic metabolic genes (lpl, foxo3), suggesting a potential mediating role of the gut-liver axis in PFNA-induced hepatotoxicity. From the perspective of aquaculture, this study provided a view of metabolic disruption and host-microbe interaction caused by PFNA. It contributes critical scientific evidence for assessing the ecological risks of per- and polyfluoroalkyl substances (PFAS) in aquatic environments. Show less
no PDF DOI: 10.1016/j.envres.2025.123211
LPL
Wenqing Liang, Fei Zhang, Rui Zhang +11 more · 2026 · Advanced materials (Deerfield Beach, Fla.) · Wiley · added 2026-04-24
Organic and organic-inorganic hybrid materials exhibiting room-temperature phosphorescence (RTP) and long persistent luminescence (LPL) materials have attracted growing attention for various time-reso Show more
Organic and organic-inorganic hybrid materials exhibiting room-temperature phosphorescence (RTP) and long persistent luminescence (LPL) materials have attracted growing attention for various time-resolved optoelectronic applications. To date, realizing intrinsically distinct RTP and LPL emissions within a single material system remains elusive, yet it is crucial for unlocking multifunctional applications such as multilevel optical encryption. Here, a Mn Show less
no PDF DOI: 10.1002/adma.202515658
LPL
Zixu Wang, Xiaopu Ren, Yuejing Hao +2 more · 2026 · Journal of the science of food and agriculture · Wiley · added 2026-04-24
Xinjiang Province possesses several local sheep breeds which are well known for their tender meat, delicious taste, and lack of odor. At present, the microbial composition in the gastrointestinal trac Show more
Xinjiang Province possesses several local sheep breeds which are well known for their tender meat, delicious taste, and lack of odor. At present, the microbial composition in the gastrointestinal tract of Xinjiang sheep and its correlation with the lipid metabolism and meat flavor are still not investigated. This study investigated the community composition of intestinal microbiota and its relationship with lipid metabolism enzymes and volatile organic compounds (VOCs) in four breeds of Xinjiang sheep. Bacteroidetes and Firmicutes, known for their roles in carbohydrate fermentation and short-chain fatty acids (SCFAs) production, dominated the microbial communities across all breeds. The Hetian sheep had the highest number of operational taxonomic unit (OTU) species as well as higher lipid metabolism enzyme activities (acetyl-CoA carboxylase: 11907 ± 1075.12 U g The results revealed a link between the unique flavor profile of Xinjiang mutton and the composition of its intestinal microbiota. The intestinal microbiota directly modulates host lipid metabolism through the secretion of SCFAs, ultimately regulating lipid deposition and VOCs in mutton. © 2025 Society of Chemical Industry. Show less
no PDF DOI: 10.1002/jsfa.70235
LPL
Zongyong Lou, Wenhui Feng, Kaining Wang +3 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Organic room-temperature phosphorescence (RTP) materials have attracted significant interest due to their potential in optoelectronics and anti-counterfeiting. However, achieving multicolor-tunable an Show more
Organic room-temperature phosphorescence (RTP) materials have attracted significant interest due to their potential in optoelectronics and anti-counterfeiting. However, achieving multicolor-tunable and long-lived RTP with simple, low-cost systems remains challenging. Herein, a facile host-guest doping strategy is developed to realize efficient and color-tunable RTP by embedding butterfly-shaped triphenylamine-based guest molecules (TPA, DBD, and DBDBD) into various host matrices (e.g., TPP, BPP, or CA). The doped crystals exhibit distinct afterglow colors (green to yellow) and prolonged long-persistent luminescence (LPL) (from 1 to 6 s of afterglow time) and phosphorescence lifetimes up to 763.33 ms, governed by host-guest energy transfer and intersystem crossing enhancement. Density functional theory (DFT) calculations reveal that the guest's electron-donating ability and the host's heavy-atom effect (e.g., P in TPP) synergistically promote charge separation and suppress non-radiative decay. Notably, DBDBD:TPP shows the longest LPL (6 s of afterglow time) due to optimal energy level alignment and strong intermolecular interactions. By leveraging the time- and color-dependent afterglow, applications in multilevel information encryption and anti-counterfeiting are demonstrated, where encrypted messages are dynamically revealed under UV excitation. This work provides a simple yet versatile approach to designing low-cost, multicolor RTP materials for advanced photonic applications. Show less
📄 PDF DOI: 10.1002/advs.202507940
LPL
Nan Zhang, Cun Zhao, Yupeng Sun +5 more · 2026 · Theriogenology · Elsevier · added 2026-04-24
Embryos produced in vitro exhibit heightened cryosensitivity due to excessive lipid accumulation. Previous studies demonstrated that cyclic guanosine monophosphate (cGMP) modulates intracellular lipid Show more
Embryos produced in vitro exhibit heightened cryosensitivity due to excessive lipid accumulation. Previous studies demonstrated that cyclic guanosine monophosphate (cGMP) modulates intracellular lipid metabolism through cGMP-dependent protein kinase (PKG) signaling in various cell types. This study investigated the effects of cGMP on (i) cryosurvival in sheep embryos, (ii) embryonic quality, and (iii)lipolysis-related parameters. Specifically, we quantified lipid droplet content, free fatty acid levels, and hormone-sensitive lipase (HSL) phosphorylation status as key indicators of lipolytic activity. The results showed that cGMP pretreatment (0.5 mM) for 10 min prior to slow freezing significantly improved post-thaw embryo recovery rates and upregulated the mRNA expression of key developmental genes (POU5F1, SOX2, CDX2, and NANOG). cGMP pretreatment significantly upregulated the expression of multiple lipid catabolism genes (ACSL4, HMGCR, HMGCS1, LIPE, LPL, LIPF, and PLIN2), with LIPE (encoding HSL) exhibiting the most pronounced induction (27.10-fold increase vs. control). Following cGMP pretreatment, PKG activation triggered significant increases in the intracellular Ca Show less
no PDF DOI: 10.1016/j.theriogenology.2025.117685
LPL
Gechang Yu, Claudia H T Tam, Mai Shi +12 more · 2026 · Diabetologia · Springer · added 2026-04-24
We aimed to investigate whether maternal and fetal genetic predispositions to insulin deficiency and resistance affect offspring fetal growth through distinct pathways in multi-ethnic populations. In Show more
We aimed to investigate whether maternal and fetal genetic predispositions to insulin deficiency and resistance affect offspring fetal growth through distinct pathways in multi-ethnic populations. In 5065 multi-ethnic mother-infant pairs, we examined the conditional associations of maternal and fetal partitioned polygenic risk scores (pPRSs) for type 2 diabetes-related pathways with fetal growth outcomes, including birthweight, sum of skinfold thicknesses (SSF), large-for-gestational-age (LGA) births and small-for-gestational-age (SGA) births. Two-sample Mendelian randomisation (2SMR) in Europeans was performed for triangulation. Exposures were eight type 2 diabetes-related pathways (n=1,812,017), eight beta cell function indices (n=26,356) and two insulin sensitivity indices (n=53,657). Outcomes were maternal and fetal genetically determined birthweight (n=406,063). Mediation analysis was used to assess the mediation effects of maternal glucose levels and BMI on maternal genetic effects and of cord blood C-peptide on fetal genetic effects. Co-localisation analyses were performed to test for shared causal variants. Fetal type 2 diabetes polygenic risk score (PRS) and pPRSs for lipodystrophy-related insulin resistance and impaired fasting glucose (IFG)-related insulin deficiency were associated with lower birthweight and SSF, while maternal type 2 diabetes PRS and pPRSs for IFG-related insulin deficiency and obesity-related insulin resistance were associated with higher offspring birthweight, SSF and LGA. These associations were consistent across five ethnic groups. Maternal post-load hyperglycaemia mediated 44.2% and 34.2% of the effects of type 2 diabetes PRS and IFG pPRS, respectively, while maternal BMI mediated 43.4% of the effect of Obesity pPRS. 2SMR found consistent results in Europeans and further revealed that fetal insulin sensitivity index and corrected insulin response were associated with higher birthweight. Some loci with shared causal variants acted through multiple pathways, including CDKAL1, TCF7L2, ADCY5 and MACF1. Reduced fetal growth may be driven by lipodystrophy-related insulin resistance and IFG-related insulin deficiency pathways. Targeting pregnant women with high type 2 diabetes PRS/pPRS and prescribing interventions to reduce their post-load hyperglycaemia and BMI may help reduce offspring risk of LGA. Show less
📄 PDF DOI: 10.1007/s00125-026-06669-7
MACF1
Yuanyuan Wang, Shuzhen Fu, Yong Shen +1 more · 2026 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
To analyze the clinical characteristics of patients with 11q23 rearrangement acute lymphoblastic leukemia (ALL) with non-KMT2A::AFF1 fusion genes. The clinical data of 10 patients with KMT2A fusion ge Show more
To analyze the clinical characteristics of patients with 11q23 rearrangement acute lymphoblastic leukemia (ALL) with non-KMT2A::AFF1 fusion genes. The clinical data of 10 patients with KMT2A fusion gene positive and partner gene non-AFF1 ALL admitted to Henan Cancer Hospital from December 2016 to December 2024 were retrospectively summarized. The immunophenotype, molecular genetic characteristics, clinical manifestations and disease prognosis of these patients were analyzed. This research has been approved by the Medical Ethics Committee of Henan Cancer Hospital (Ethics No.: 2019342). Among the 10 patients, the fusion genes were KMT2A::MLLT1 in 7 cases, KMT2A::MLLT4, KMT2A::MLLT3 and KMT2A::MLLT10 in 1 case each. The European Group for the Immunological Classification of Leukemias (EGIL) classification included 6 cases of T-ALL, 2 cases of pro-B-ALL, 1 case of Common-B-ALL and 1 case of pre-B-ALL. 4 cases of B-ALL all expressed CD19, cCD79a, CD38 and HLA-DR, and some expressed CD34 and CD22, without expression or weak expression of CD10, without expression of CD20. One case was accompanied by myeloid marker CD15 expression. 6 cases of T-ALL all expressed CD34, CD7, most expressed CD38, and some expressed CD3, CD5, CD2, CD4 and CD8, and 1 case expressed CD4 and CD8 together. Chromosomal abnormalities were detected in 3 cases, 5 cases were positive for WT1 fusion gene, and 6 cases had gene alterations. 9 patients achieved the first complete remission (CR1) during chemotherapy, and 1 patient relapsed within 6 months after CR1. At the last follow up, 1 patient (the fusion gene was KMT2A::MLLT4) remained unrelieved. There were 2 cases of KMT2A rearrangement (KMT2A-r) persistent positive (+/+) and 8 cases of KMT2A-r negative (+/-). The overall survival (OS) rate and leukemia-free survival (LFS) rate of patients with KMT2A-r persistent positive were significantly lower than those of patients with negative change, and the differences were statistically significant (P values were all < 0.05). Among the 3 patients who received chemotherapy+allogeneic hematopoietic stem cell transplantation (allo-HSCT), no relapse was observed until the follow up day. The OS rate and LFS rate of patients with KMT2A::MLLT1 and chemotherapy+allo-HSCT were higher than those of non-KMT2A::MLLT1 and single chemotherapy patients, and the differences were not statistically significant (P values were all ≥ 0.05). There was no significant difference in OS rate and LFS rate between T-ALL and B-ALL patients (P values were all ≥ 0.05). The median LFS time of the 10 patients was 32 (0 ~ 100) months, and the median OS time was 36 (1 ~ 101) months. The 11q23 rearrangement ALL with non-KMT2A::AFF1 transcript is mainly KMT2A::MLLT1, T-ALL is more common, and the rate of chromosomal karyotype detection is relatively low. Persistent positive KMT2A-r is unfavorable for patient survival, and allo-HSCT during the CR1 period may improve patient survival. Show less
no PDF DOI: 10.3760/cma.j.cn511374-20250729-00463
MLLT10
Guilin Tang, Alexandra Reynolds, Farhad Ravandi-Kashani +15 more · 2026 · Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · Elsevier · added 2026-04-24
In this study, we used optical genome mapping (OGM), conventional karyotyping, and next-generation sequencing to analyze cytogenomic alterations in 91 cases of T-cell acute lymphoblastic leukemia/lymp Show more
In this study, we used optical genome mapping (OGM), conventional karyotyping, and next-generation sequencing to analyze cytogenomic alterations in 91 cases of T-cell acute lymphoblastic leukemia/lymphoma (T-ALL). Whereas karyotyping detected abnormal karyotypes in 55% of cases, OGM identified cytogenetic abnormalities in 97.8% of the cases and provided clinically relevant information beyond karyotyping in ∼70% of cases. OGM detected gene rearrangements in 80% of cases, including 24 recurrent gene fusions and 21 previously unreported putative gene fusions in T-ALL. Copy number variants were detected in 93% of cases, with interstitial deletions the most common. Gene mutations were detected in 93% of cases, with NOTCH1 being most frequent (in 57% of cases). Combining all data, most T-ALL cases harbored 3 or more cytogenomic aberrations. Specific cytogenomic alterations differed among T-ALL subtypes as follows: rearrangements of BCL11B and PICALM::MLLT10, deletions of 7p, and mutations involving DNMT3A, WT1, TET2, IDH2, and FLT3 were common in early T-precursor and near-early T-precursor subtypes. Rearrangements of TLX1, KMT2A, STIL::TAL1, and NUP214::ABL1, deletions of 9p, and FBXW7 mutations were frequently associated with the cortical subtype. We conclude that integration of OGM and next-generation sequencing with karyotyping enables comprehensive cytogenomic profiling of T-ALL that improves detection of clinically relevant genomic alterations and may inform disease classification and future studies of risk stratification. Show less
no PDF DOI: 10.1016/j.modpat.2026.100986
MLLT10
Heng Shen, Jiayuan Chen, Xiaoyuan Gong +14 more · 2026 · Cancers · MDPI · added 2026-04-24
In this retrospective study, a total of 3468 adolescent and adult AML patients were screened, and 181 patients harboring The incidence of Our study revealed the heterogeneous outcomes of
📄 PDF DOI: 10.3390/cancers18030401
MLLT10
Jie-Jun Zhao, Qian-Min Zeng, Li-Na Wang +2 more · 2026 · Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae · added 2026-04-24
PICALM∶∶MLLT10 fusion gene-positive precursor B-cell acute lymphoblastic leukemia(pro-B-ALL)is clinically rare.This article reports the case of a 29-year-old female patient who presented a mediastinal Show more
PICALM∶∶MLLT10 fusion gene-positive precursor B-cell acute lymphoblastic leukemia(pro-B-ALL)is clinically rare.This article reports the case of a 29-year-old female patient who presented a mediastinal mass.Diagnostic investigations confirmed PICALM∶∶MLLT10 fusion gene-positive pro-B-ALL.The patient sequentially received radiotherapy and multiple lines of chemotherapy but developed short-term drug resistance and lineage change,progressing to mixed-phenotype acute leukemia.A review of relevant literature was conducted to analyze its pathogenesis and molecular characteristics,aiming to provide references for clinical diagnosis and treatment. Show less
no PDF DOI: 10.3881/j.issn.1000-503X.16685
MLLT10
Ting Fang, Xinyu Yang, Xiaoqing Deng +5 more · 2026 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Excessive fructose intake is strongly associated with metabolic diseases, with the carbohydrate response element-binding protein (ChREBP) playing a key role in its metabolism, particularly in renal tu Show more
Excessive fructose intake is strongly associated with metabolic diseases, with the carbohydrate response element-binding protein (ChREBP) playing a key role in its metabolism, particularly in renal tubules. However, the role of its active form, ChREBP-β, was previously unclear. In this study, ChREBP-β overexpression and ChREBP knockout mouse models were utilized to investigate the effects of excessive fructose intake in vivo. In addition, primary renal tubular epithelial cells from mice and human kidney-2 (HK2) cells were applied for further validation in vitro. We found that ChREBP-β leads to increased transcription to mediate endoplasmic reticulum stress and mitochondrial dysfunction, which ultimately impairs renal function. Our findings underscore the critical role of ChREBP-β in fructose-related renal disorders. Show less
📄 PDF DOI: 10.1096/fj.202600490R
MLXIPL
Ekaterina Osipova, Meng-Ching Ko, Konstantin M Petricek +33 more · 2026 · Science (New York, N.Y.) · Science · added 2026-04-24
High-sugar diets cause human metabolic diseases, yet several bird lineages convergently adapted to feeding on sugar-rich nectar or fruits. We investigated the underlying molecular mechanisms in hummin Show more
High-sugar diets cause human metabolic diseases, yet several bird lineages convergently adapted to feeding on sugar-rich nectar or fruits. We investigated the underlying molecular mechanisms in hummingbirds, parrots, honeyeaters, and sunbirds by generating nine new genomes and 90 tissue-specific transcriptomes. Comparative screens revealed an excess of repeated selection in both protein-coding and regulatory sequences in sugar-feeding birds, suggesting reuse of genetic elements. Sequence or expression changes in sugar-feeders affect genes involved in blood pressure regulation and lipid, amino acid, and carbohydrate metabolism, with experiments showing functional changes in honeyeater hexokinase 3. Show less
no PDF DOI: 10.1126/science.adt1522
MLXIPL
Heming Huang, Wei Xu, Yang Wang +8 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Renal tubulointerstitial fibrosis (TIF) is a hallmark pathological feature of diabetic kidney disease (DKD). This study investigates the role and molecular mechanisms of retinol saturase (RetSat) in D Show more
Renal tubulointerstitial fibrosis (TIF) is a hallmark pathological feature of diabetic kidney disease (DKD). This study investigates the role and molecular mechanisms of retinol saturase (RetSat) in DKD-associated TIF. RetSat expression was assessed in renal tissues from DKD patients and mice and correlated with the severity of TIF. Functional experiments were conducted RetSat expression was significantly up regulated in the renal tissues of both DKD patients and mice, correlating with the deterioration of TIF. These findings indicate that RetSat promotes TIF in DKD by disrupting the Smurf2-ChREBP ubiquitination axis, highlighting RetSat as a promising therapeutic target for DKD. Show less
📄 PDF DOI: 10.3389/fendo.2026.1759785
MLXIPL
Ziwei Hu, Jiahui Pang, Xinli Liu +13 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Neuropathic pain (NP), a chronic disorder caused by somatosensory nervous system lesions, severely impairs the quality of life. Microglial metabolic reprogramming and neuroinflammation drive NP progre Show more
Neuropathic pain (NP), a chronic disorder caused by somatosensory nervous system lesions, severely impairs the quality of life. Microglial metabolic reprogramming and neuroinflammation drive NP progression. Although ChREBP (key metabolic regulator) protects against NP, its specific mechanisms remain unclear. NP rat model was established via spared nerve injury (SNI) surgery, and mechanical allodynia was evaluated using Von Frey tests. ChREBP expression in microglia was detected through immunofluorescence, RT-qPCR, and western blot. Functional studies involved ChREBP knockdown/overexpression to assess effects on microglial polarization, neuroinflammation, neuronal excitability, pain behaviors, and fatty acid metabolism. Mechanisms were explored via dual-luciferase reporter and chromatin immunoprecipitation assays. Mechanical pain thresholds were significantly decreased on the ipsilateral side after SNI. ChREBP was upregulated in SDH microglia after SNI and in LPS-stimulated microglia in vitro. ChREBP knockdown inhibited anti-inflammatory microglial polarization, exacerbated neuroinflammation, and aggravated pain. Conversely, ChREBP overexpression promoted the anti-inflammatory phenotype, suppressed neuroinflammation, and alleviated pain. ChREBP enhanced microglial fatty acid oxidation and energy metabolism. Mechanistically, ChREBP bound to the TFBS1 site on the PGC-1α promoter to activate its transcription. PGC-1α overexpression rescued the impairments caused by ChREBP knockdown, including reduced fatty acid oxidation, suppressed anti-inflammatory polarization, elevated inflammatory factors, and increased neuronal excitability. The protective effects of ChREBP were attenuated by the fatty acid oxidation inhibitor Etomoxir. ChREBP alleviates NP by enhancing microglial fatty acid oxidation and anti-inflammatory phenotype via PGC-1α transcriptional activation, revealing a novel metabolic-immune axis for potential NP therapy. Show less
📄 PDF DOI: 10.1002/cns.70744
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