πŸ‘€ Zhongjing Wang

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Also published as: Junli Wang, Xindi Wang, Junpeng Wang, Tingyu Wang, Guoqiang Wang, Yuxuan Wang, Hanzhi Wang, Zhi-Long Wang, Shanshan Wang, Wenfei Wang, Dengbin Wang, Yen-Sheng Wang, Chuanxin Wang, Zeyu Wang, Beibei Wang, Taicheng Wang, Xingguo Wang, Z P Wang, Yue-Min Wang, Chenghua Wang, Xianqiang Wang, Congrong Wang, Yanhai Wang, Du Wang, Xianzhe Wang, Zuoheng Wang, Yongyi Wang, Zhihui Wang, Yanhua Wang, Limeng Wang, H J Wang, Pei-Jian Wang, Yana Wang, Congrui Wang, Larry Wang, Yu-Zhuo Wang, Sihua Wang, Wanchun Wang, Jialin Wang, Xinying Wang, Shuguang Wang, Yinhuai Wang, Xiaobin Wang, Yuying Wang, Hebo Wang, Leli Wang, Jiayu Wang, Zhaojun Wang, Hai Wang, Si Wang, Re-Hua Wang, Xuping Wang, Bo Wang, Shubao Wang, Songjiao Wang, Hongjia Wang, Victoria Wang, Ling Wang, Jianjie Wang, Haining Wang, Dali Wang, Ji-Yang Wang, Cheng Wang, Weifan Wang, Yuanqiang Wang, Zhixiao Wang, Yaxian Wang, Zhigang Wang, Haochen Wang, Jia-Ying Wang, Shichao Wang, Ruosu Wang, N Wang, Haixing Wang, Guiqun Wang, Zhiting Wang, Dan Wang, Wangxia Wang, Jing-Long Wang, Yaqian Wang, Yafang Wang, Xing-Jun Wang, Dapeng Wang, Zhongyuan Wang, Junsheng Wang, Zhaohai Wang, He-Ping Wang, Minmin Wang, Wenzhou Wang, Zhaohui Wang, Yanfang Wang, Pengtao Wang, Leran Wang, Qianwen Wang, Hongkun Wang, Sa Wang, Y Alan Wang, Liyan Wang, Jou-Kou Wang, Mingda Wang, Chenfei Wang, Yuehan Wang, Simeng Wang, Yuhua Wang, Ruibin Wang, Haibo Wang, Ni Wang, Guoxiu Wang, Zhuangzhuang Wang, Yajie Wang, Zhixiang Wang, Sangui Wang, Xiantao Wang, Yan-Yang Wang, Mengjun Wang, Ruling Wang, Peihe Wang, Miao Wang, Zaihua Wang, Jun-Jie Wang, Mengyao Wang, Zhiyu Wang, Changzhen Wang, Xijun Wang, Chengjian Wang, Yiyi Wang, Mo Wang, Xiaolun Wang, Danan Wang, Fanchang Wang, Zilin Wang, Fanhua Wang, Supeng Perry Wang, Gavin Wang, Yi-Ying Wang, Yani Wang, Zhuowei Wang, Weiwei Wang, Haifeng Wang, Yi-Shiuan Wang, Yan-Chao Wang, Xiaotong Wang, Jia-Qi Wang, Yongliang Wang, Yongming Wang, Fengchong Wang, Jianyong Wang, Zeping Wang, Huaquan Wang, Xiaojia Wang, Tao Wang, Tianjun Wang, Siying Wang, Zhenze Wang, Zhijian Wang, Li Wang, Heming Wang, Jingtong Wang, Xuefei Wang, Yingqiao Wang, Xiao Qun Wang, Chun-Chieh Wang, Shuang-Xi Wang, Laiyuan Wang, Zhaoming Wang, Yinggui Wang, Qi-Jia Wang, Wen-Yan Wang, Mingming Wang, Peipei Wang, Chien-Hsun Wang, Qiuhong Wang, Monica Wang, Lexin Wang, Xiufen Wang, Yuehua Wang, Pingfeng Wang, Caiyan Wang, Weijie Wang, Yigang Wang, Jieyan Wang, Huiquan Wang, Chunsheng Wang, Yunhe Wang, Changtu Wang, Qingliang Wang, Guanghua Wang, Yongbin Wang, Zhaobo Wang, Minghui Wang, Junshi Wang, Jingyu Wang, Longsheng Wang, Fen Wang, Xianshu Wang, Jianwu Wang, Jun-Zhuo Wang, Zhixing Wang, Lei Wang, Yiyan Wang, Jinglin Wang, Jinhe Wang, Enhua Wang, Yuecong Wang, Xueying Wang, Jennifer T Wang, Xin-Hua Wang, Shijie Wang, Chun-Xia Wang, Yuanjiang Wang, Xiaojun Wang, Shunjun Wang, Chun-Juan Wang, M Wang, Jinfei Wang, Jinghuan Wang, Xuru Wang, Xiao-Lan Wang, Yu-Chen Wang, Zhi-Guo Wang, Luya Wang, Shuwei Wang, Pingchuan Wang, Qifan Wang, Xing-Quan Wang, Weiding Wang, Xuebin Wang, Yaling Wang, Chenyin Wang, Allen Wang, Liyuan Wang, Rong-Rong Wang, Wusan Wang, Wayseen Wang, Qianru Wang, Yi-Xin Wang, Hailin Wang, Yu-Hang Wang, Xuesong Wang, Haojie Wang, Wanxia Wang, Mengwen Wang, Hanping Wang, Yuhang Wang, Lueli Wang, Xinchang Wang, Oliver Wang, Shuge Wang, Jianhao Wang, Chong Wang, Kui Wang, Litao Wang, Zining Wang, Ming-Yang Wang, Hongxia Wang, Mingyi Wang, Hai Bo Wang, Bingnan Wang, Hongqian Wang, Jisheng Wang, Jiakun Wang, Maoju Wang, Xiaoqiu Wang, Dongyi Wang, Hai Yang Wang, Pengju Wang, Xiaofeng Wang, Huming Wang, Jian'an Wang, Qianrong Wang, Xiaowei Wang, Xiangkun Wang, Da Wang, Hongying Wang, Changying Wang, Changyu Wang, Xiaoqin Wang, Zhenxi Wang, Qiaoqiao Wang, Yu Tian Wang, Yupeng Wang, Xinli Wang, YueJiao Wang, Jian-chun Wang, Pengchao Wang, Xiao-Juan Wang, Siqing Wang, C Z Wang, Pengbo Wang, Baoli Wang, Yu-Zhe Wang, Gui-Qi Wang, Dazhi Wang, Yanwen Wang, Xingqin Wang, Shijin Wang, Wenming Wang, Fanxiong Wang, Tiansong Wang, Shuzhe Wang, Jie Wang, Jinling Wang, Yunfang Wang, Luyao Wang, Cun-Yu Wang, Zikang Wang, Quan-Ming Wang, Yingying Wang, Chia-Chuan Wang, Xintong Wang, Jufeng Wang, Xuejun Wang, Xiao-Qian Wang, Yijin Wang, Meng Yu Wang, Tianyi Wang, Chia-Lin Wang, Zhuo-Jue Wang, Yaohe Wang, Rong Wang, Hao-Hua Wang, Yong-Jun Wang, Xubo Wang, Dalong Wang, Yan-Ge Wang, Erika Y Wang, Ruixian Wang, Jin-Liang Wang, Shicung Wang, Saifei Wang, Jintao Wang, Zhenzhen Wang, Jiawei Wang, Beilei Wang, Huabo Wang, Huiyu Wang, Hongtao Wang, Chengjun Wang, Guo-Du Wang, Taoxia Wang, Zitao Wang, Jingwen Wang, Yibin Wang, Long Wang, Xinjing Wang, Qunzhi Wang, Liangliang Wang, Bangchen Wang, Yu-Fen Wang, Shibin Wang, Congcong Wang, Xiong Wang, Zhiren Wang, Xiaozhu Wang, Hong-Xia Wang, Qingyong Wang, Tianying Wang, Tammy C Wang, Huijie Wang, Tiansheng Wang, Mengzhao Wang, Jianshu Wang, Xinlong Wang, Benzhong Wang, Zhipeng Wang, Kaijie Wang, Xiaomin Wang, Peijun Wang, Zhiqiang Wang, Jundong Wang, Zheng Wang, Yueze Wang, Sujuan Wang, Qing-Yun Wang, Xiaoqing Wang, Zongqi Wang, Zhicun Wang, Fudi Wang, Seok Mui Wang, Wanbing Wang, Kejun Wang, Nanping Wang, Mingyang Wang, Wenxia Wang, Yaru Wang, Zikun Wang, Shidong Wang, Bei Bei Wang, Yu-Hui Wang, Rui Wang, Yige Wang, Tongxin Wang, Xiaohua Wang, Changjing Wang, Xingjin Wang, Bingjie Wang, Shaoyu Wang, Hui-Hui Wang, Zhenyu Wang, Baoying Wang, Yang-Yang Wang, Shi-Yao Wang, Lifei Wang, Fangfang Wang, Zhimei Wang, Kunpeng Wang, Binglong Wang, Daijun Wang, Qinghang Wang, Zi Wang, Shushu Wang, QingDong Wang, Qing K Wang, Fuhua Wang, Yanni Wang, Jianle Wang, Wenyan Wang, Jinning Wang, Ziqi Wang, Wei-Qi Wang, Yaolou Wang, Haoming Wang, Jian-Wei Wang, Tian Wang, Peixi Wang, Iris X Wang, Tongxia Wang, Mei-Xia Wang, Haiying Wang, Tielin Wang, Hongze Wang, Chung-Hsi Wang, Peiyao Wang, Linli Wang, Guanru Wang, Yuzhong Wang, Yunhan Wang, Jianan Wang, Menglong Wang, Yingxue Wang, Jiayi Wang, Dingxiang Wang, Ting Wang, Fenglin Wang, Jianqun Wang, Ran Wang, Kuan Hong Wang, Liusong Wang, Wen-Der Wang, Yixuan Wang, Feng Wang, Kaicen Wang, Eryao Wang, Yulei Wang, Huaibing Wang, Zhongzhi Wang, Jinrong Wang, Sujie Wang, Xiaozhong Wang, Xiao-Pei Wang, Li-Na Wang, H X Wang, Linjie Wang, Zhaosong Wang, Yafen Wang, Chuan-Wen Wang, Xiaoning Wang, Li-Xin Wang, Silas L Wang, Baocheng Wang, Hongyi Wang, Zhi-Xiao Wang, Shengjie Wang, Zhi-Hao Wang, Yaokun Wang, Shao-Kang Wang, Qunxian Wang, Jianghui Wang, Zhao Wang, Di Wang, Jianzhi Wang, Ruijing Wang, Ling Jie Wang, Qingshi Wang, Jianye Wang, Yuqiang Wang, Kangling Wang, Anxin Wang, Shengli Wang, Zhulin Wang, Hua-Wei Wang, Yiwen Wang, Yang Wang, Hanqi Wang, Changwei Wang, Honglei Wang, Yi Lei Wang, Wenkang Wang, Junjie Wang, Yazhou Wang, Peng-Cheng Wang, Chenzi Wang, Anqi Wang, Yuemiao Wang, Xuelin Wang, Rujie Wang, Dongyan Wang, Yuxue Wang, Wengong Wang, Qigui Wang, Junqing Wang, Ruhan Wang, Xinye Wang, Huihui Wang, Gengsheng Wang, Mark Wang, Zhidong Wang, Mengmeng Wang, Yuwen Wang, Liang Wang, Huaxiang Wang, Fangjun Wang, Huixia Wang, Haijiao Wang, Hong-Hui Wang, Yi-Shan Wang, Yunchao Wang, Junjun Wang, Binghai Wang, Xinguo Wang, Jun-Sing Wang, Lingzhi Wang, Yuexiang Wang, Hong-Gang Wang, Yen-Feng Wang, Xidi Wang, Jiawen Wang, Liangfu Wang, Lifeng Wang, Shihan Wang, Wentian Wang, Sa A Wang, Lee-Kai Wang, Yu-Wei Wang, Zumin Wang, Shau-Chun Wang, Jianjiao Wang, Tian-Tian Wang, Jiantao Wang, Edward Wang, Jianbo Wang, Qingfeng Wang, Wenran Wang, Xiaolin Wang, Fenghua Wang, Rongjia Wang, Shiqiang Wang, Caixia Wang, Guihu Wang, Xindong Wang, Wenxiu Wang, Xueguo Wang, YiLi Wang, Aizhong Wang, Qiqi Wang, Chengcheng Wang, D Wang, L Wang, Jianhua Wang, Qiuling Wang, Shaolian Wang, Wen-Qing Wang, Wenqing Wang, Yuchuan Wang, Guangdi Wang, Yiquan Wang, Huimei Wang, Genghao Wang, Zun Wang, Miranda C Wang, Annette Wang, Chi-Ping Wang, Hanmin Wang, Zhaoxi Wang, Shifeng Wang, Runze Wang, Mangju Wang, Junjiang Wang, Dong D Wang, Xiu-Ping Wang, Haijiu Wang, Linghuan Wang, Yiying Wang, Renqian Wang, Nana Wang, Xiangdong Wang, Shiyin Wang, Chaoyi Wang, Menghan Wang, Shuyue Wang, Yongmei Wang, Nanbu Wang, Lihua Wang, Hongyue Wang, Jianli Wang, Chunli Wang, Minghua Wang, Junkai Wang, Chenguang Wang, Siyue Wang, Jun Wang, Shu-Song Wang, Bingyan Wang, Qingping Wang, Zhong-Yu Wang, Fei-Fei Wang, Jennifer E Wang, Z-Y Wang, Dongxia Wang, Dang Wang, Zi-Hao Wang, Rihua Wang, Jutao Wang, Yanzhe Wang, Guohao Wang, Liming Wang, Yishu Wang, Xuemin Wang, Xianfeng Wang, Zixu Wang, Jingfan Wang, Guang-Jie Wang, Guixue Wang, Jiaojiao Wang, Yaxin Wang, Haibing Wang, Weizhong Wang, Hairong Wang, Hai-Jun Wang, Mingji Wang, Yongrui Wang, Huizhi Wang, Longfei Wang, Chongmin Wang, Jingyang Wang, Zhong-Ping Wang, Huanhuan Wang, Baisong Wang, Xiaohui Wang, Fengyang Wang, Wanliang Wang, Ziqiang Wang, Chuan Wang, Jeffrey Wang, Ying-Zi Wang, Ziwei Wang, Xian Wang, Hanyu Wang, Qiming Wang, Dedong Wang, Fengying Wang, Xiaoya Wang, Zhenhua Wang, Yanchun Wang, Keming Wang, Zi-Yi Wang, Dezhong Wang, Jingying Wang, Shouli Wang, Lan-lan Wang, Weiyu Wang, Yuhuai Wang, Jun Yi Wang, Wenying Wang, Xue-Feng Wang, Xing-Lei Wang, Yuehong Wang, Pengyu Wang, Yihe Wang, Guodong Wang, Weijian Wang, Wu-Wei Wang, Y Wang, Ruonan Wang, Jianbing Wang, Mian Wang, Dennis Qing Wang, Nannan Wang, Zuo Wang, Christine Wang, Ruixin Wang, Yaxiong Wang, Siwei Wang, Yuanzhen Wang, Wen-Chang Wang, Haijing Wang, X Wang, Melissa T Wang, Haixia Wang, Qianghu Wang, Hongsheng Wang, Xiurong Wang, Shaowei Wang, Shuo Wang, Zengtao Wang, Yun-Xing Wang, Songtao Wang, Mei Wang, Mengyun Wang, Qingming Wang, Ke-Feng Wang, Zhihao Wang, Haoqi Wang, X E Wang, Xin-Shang Wang, Dongmei Wang, Lingli Wang, Huai-Zhou Wang, Hua Wang, Kunzheng Wang, Mao-Xin Wang, Jingzhou Wang, Jiaqi Wang, Xingbang Wang, Wence Wang, Yongdi Wang, Xin-Qun Wang, Guoyi Wang, Jian-Guo Wang, Jiafu Wang, Pin Wang, Libo Wang, Junling Wang, J Z Wang, Haozhou Wang, Jing Wang, Hezhi Wang, T Q Wang, Xi-Hong Wang, Yuanfan Wang, Endi Wang, Hua-Qin Wang, Jeremy Wang, Songping Wang, Suyun Wang, Jiqing Wang, Shu-Ling Wang, Jennifer X Wang, Lily Wang, Yin-Hu Wang, Jen-Chywan Wang, Qingqing Wang, Shuangyuan Wang, Haihong Wang, Luyun Wang, Yake Wang, Ya-Nan Wang, Weicheng Wang, Jianxiang Wang, Zihua Wang, Lin Wang, Fu-Sheng Wang, Zongbao Wang, Tong-Hong Wang, Xianze Wang, Ting-Ting Wang, Haibin Wang, Xin-Yue Wang, Zhi-Gang Wang, Ziying Wang, Shukang Wang, Wen-Jun Wang, Delin Wang, Yating Wang, Xuehao Wang, Yefu Wang, Yi-Ning Wang, Cheng-zhang Wang, Jing J Wang, Xinglong Wang, Yanqing Wang, Tongyao Wang, Dongyang Wang, Deqi Wang, Qiao Wang, Alice Wang, Yunzhi Wang, Dayong Wang, Renxi Wang, Yeh-Han Wang, Mingya Wang, Longxiang Wang, Hualin Wang, Hailei Wang, Ao Wang, Wanyu Wang, Jiale Wang, Qiangcheng Wang, Huishan Wang, Yunqiong Wang, Xudong Wang, Xifu Wang, Wen-Xuan Wang, Dao Wen Wang, Zhi-Wei Wang, Xingchen Wang, Yanyang Wang, Yutao Wang, Huizhen Wang, Hu WANG, Y P Wang, Wen Wang, Qingsong Wang, Baofeng Wang, Ruo-Ran Wang, Yaobin Wang, Changliang Wang, Pintian Wang, Dai Wang, Su-Guo Wang, Ruting Wang, Fengzhen Wang, Qinrong Wang, HuiYue Wang, Baosen Wang, Shuhe Wang, Yifei Wang, Jiun-Ling Wang, Junhui Wang, Guangzhi Wang, Qijia Wang, Yushe Wang, Jinlong Wang, Zhouguang Wang, Huiyao Wang, Shuxin Wang, Yingyi Wang, Jing-Yi Wang, Yongxiang Wang, Zhi Wang, Dehao Wang, Yi-sheng Wang, Jiazhi Wang, Yunfei Wang, Mingjin Wang, Yaozhi Wang, Jinyu Wang, Jinmeng Wang, LiLi Wang, Shuai Wang, Yan Wang, Jun Kit Wang, Cui Wang, Zhan Wang, Dong-Jie Wang, Yangyang Wang, Xiangguo Wang, Runuo Wang, Ruimin Wang, Pengpu Wang, Nuan Wang, Guangyan Wang, Xin-Liang Wang, Minxiu Wang, Ruifang Wang, Hui Wang, Hongda Wang, Xiyan Wang, Jinxia Wang, Xinchen Wang, Haihua Wang, Delong Wang, Yayu Wang, Xue-Hua Wang, Xin-Peng Wang, Changqian Wang, Bei Wang, Ya-Han Wang, Chih-Liang Wang, P N Wang, Xiaoqian Wang, Xianshi Wang, Zhiruo Wang, Xueding Wang, Renxiao Wang, Yi-Ming Wang, Tianqi Wang, Ledan Wang, Rongyun Wang, Gan Wang, Qinqin Wang, Yuxiang Wang, Feimiao Wang, Mengyuan Wang, Chaofan Wang, Linshuang Wang, Yanhui Wang, Zhenglong Wang, Zongkui Wang, Zhenwei Wang, Xiyue Wang, Yi Fan Wang, Xiao-Ai Wang, Po-Jen Wang, Xinyang Wang, Linying Wang, Fa-Kai Wang, Yimeng Wang, Dong-Mei Wang, Anli Wang, Hui-Li Wang, Jianqing Wang, Honglun Wang, Wei-Feng Wang, Kaihao Wang, Jialing Wang, Shuren Wang, Cui-Fang Wang, Wenqi Wang, Peilin Wang, Wen-Fei Wang, Guang-Rui Wang, T Wang, Weiqing Wang, Ciyang Wang, Biao Wang, Kaihe Wang, Jieh-Neng Wang, Tony Wang, Yuehu Wang, Zhicheng Wang, Tongtong Wang, Zi Xuan Wang, Yingtai Wang, Xin-Xin Wang, Chu Wang, Tianhao Wang, Shukui Wang, Ching C Wang, Yulin Wang, Chunyang Wang, Yeqi Wang, Yinbo Wang, Kongyan Wang, Weiling Wang, Linxuan Wang, Shengya Wang, Yaqi Wang, Huating Wang, Aiting Wang, Ya Xing Wang, Daoping Wang, Shasha Wang, Wei-Lien Wang, Quanli Wang, Yanru Wang, L M Wang, Bijue Wang, H Wang, Jipeng Wang, Xiaoxia Wang, Shuu-Jiun Wang, Baitao Wang, Haimeng Wang, Chung-Hsing Wang, Weining Wang, M Y Wang, Wenwen Wang, Zhongsu Wang, Xiaochen Wang, Ligang Wang, Shaohsu Wang, Bing Qing Wang, Jiangbin Wang, Yajun Wang, Chunting Wang, Hemei Wang, En-hua Wang, H-Y Wang, Zixi Wang, Wenjing Wang, Haikun Wang, Ruxin Wang, Jianru Wang, Yongqiang Wang, Ouchen Wang, Jianyu Wang, Shen Wang, Yixi Wang, Zhi-Hong Wang, Li Dong Wang, Zhou-Ping Wang, Wen-Yong Wang, Meng-Lan Wang, Xiaojie Wang, Leying Wang, Yi-Zhen Wang, Y Y Wang, Jianlin Wang, Guoqing Wang, Jiani Wang, Guan-song Wang, You Wang, Xiangding Wang, Ke Wang, Wendong Wang, Yue Wang, Zhe Wang, K Wang, Zhuo Wang, Su'e Wang, Cangyu Wang, Erfei Wang, Xiaoming Wang, Aijun Wang, Xiaoye Wang, Jun-Sheng Wang, Wenxiang Wang, Yanjun Wang, Qiangqiang Wang, Yachun Wang, Haitao Wang, Tiancheng Wang, Gangyang Wang, Jianmin Wang, Jiabo Wang, Yijing Wang, Mengzhi Wang, Yinuo Wang, Zhou Wang, Guiying Wang, Xuezheng Wang, Shan Wang, Aoli Wang, Fuqiang Wang, Yawei Wang, Xianxing Wang, Ya-Long Wang, Yuyang Wang, Dong Hao Wang, Y-S Wang, Zelin Wang, Liqun Wang, Cunyi Wang, Qian-Zhu Wang, Yinan Wang, Panfeng Wang, Guangwen Wang, J Q Wang, Guang Wang, Yu-Ping Wang, John Wang, Jiaping Wang, Zhisheng Wang, Xuan-Ren Wang, Xiaowu Wang, Zhengyu Wang, Baowei Wang, Zhijun Wang, Zhong-Hao Wang, Fengzhong Wang, Jin-Da Wang, Zhaoqing Wang, Yuanbo Wang, Haixin Wang, Yaping Wang, Lixiu Wang, Mingxia Wang, Neng Wang, Guozheng Wang, Yan-Feng Wang, Huafei Wang, Yuhan Wang, Xingxing Wang, Wenhe Wang, Xing-Huan Wang, Xiansong Wang, Yishan Wang, Ruming Wang, Ya Qi Wang, Yueying Wang, Chunle Wang, Shihua Wang, W Wang, Hengjun Wang, Meihui Wang, Huanyu Wang, Ruinan Wang, Qiwei Wang, Zhong Wang, Shiyao Wang, Jian-Zhi Wang, Ruimeng Wang, Jinxiang Wang, Jinsong Wang, Bin-Xue Wang, Fuwen Wang, Yiou Wang, Shifa Wang, Yin Wang, Yanzhu Wang, Jia Bin Wang, Siyang Wang, Zhanggui Wang, Yueting Wang, Qingyu Wang, Qianqian Wang, Xiu-Lian Wang, Fengling Wang, Chenxi Wang, Cheng An Wang, Yipeng Wang, Weipeng Wang, Zechen Wang, Shuaiqin Wang, Xueqian Wang, Chan Wang, Guohang Wang, Cai-Yun Wang, Jiang Wang, Huei Wang, Yufeng Wang, Heng Wang, Qing-Liang Wang, Chuang Wang, Xiaofang Wang, Hao-Ching Wang, Junying Wang, Jianwei Wang, Jinhai Wang, Hanchao Wang, Penglai Wang, I-Ching Wang, S L Wang, Tianhu Wang, Sheng-Min Wang, Pan-Pan Wang, Duan Wang, Xuqiao Wang, Minghuan Wang, Wei-Wei Wang, Xiaojian Wang, Shuping Wang, Jinfu Wang, Biqi Wang, Zhenguo Wang, Fangyan Wang, Sainan Wang, Peijuan Wang, Pei-Yu Wang, Yuyan Wang, Fuxin Wang, Ji M Wang, Yange Wang, Yali Wang, Wenhui Wang, Leishen Wang, Lichan Wang, Xianna Wang, Wenbin Wang, Kenan Wang, Chih-Yuan Wang, Yanlei Wang, Ju Wang, Yanliang Wang, Keqing Wang, Bangshing Wang, Dayan Wang, Yongsheng Wang, Dinghui Wang, Zheyue Wang, Xinke Wang, Daqing Wang, Yan Ming Wang, He-Ling Wang, Shengyao Wang, Jiwen Wang, Xizhi Wang, Luxiang Wang, Dandan Wang, RongRong Wang, Heng-Cai Wang, Jindan Wang, Xiaoding Wang, Yumeng Wang, Heling Wang, Xiao-Yun Wang, Meiding Wang, Zhilun Wang, Guo-hong Wang, Na Wang, Yanli Wang, Fubing Wang, Feixiang Wang, Zhiyuan Wang, Yi-Cheng Wang, Zhengwei Wang, Wenyuan Wang, Yu-Ying Wang, Jianqin Wang, Sijia Wang, Chuansen Wang, Huawei Wang, Kaiyan Wang, Qingyuan Wang, Yujia Wang, Lian Wang, Junrui Wang, Chao-Yung Wang, Zehao Wang, Ruixue Wang, Minjun Wang, Jin Wang, Xiaoxiao Wang, Jun-Feng Wang, Binquan Wang, Shuxia Wang, Donggen Wang, Deming Wang, Chenggang Wang, Chuduan Wang, Haichuan Wang, Catherine Ruiyi Wang, Hai-Feng Wang, Anthony Z Wang, Guanghui Wang, Jiahao Wang, Xiaosong Wang, Zijue Wang, Wenbo Wang, M-J Wang, Yu Wang, Yingping Wang, Zhengbing Wang, G Q Wang, Mengjing Wang, Zhendong Wang, Kailu Wang, Jinfeng Wang, Zhiguo Wang, Yusha Wang, Jianmei Wang, Kun Wang, Lihong Wang, Haoxin Wang, Haowei Wang, Ziqing Wang, Aihua Wang, Yuanyong Wang, Sanwang Wang, Doudou Wang, Hao-Yu Wang, Peirong Wang, Wenting Wang, Yibing Wang, He Wang, Jia-Peng Wang, Shixin Wang, En-bo Wang, Dong-Dong Wang, Hualing Wang, Hongyan Wang, Shaoying Wang, Yingjie Wang, Tianqing Wang, Guo-Hua Wang, Yongfei Wang, Lijing Wang, Hongli Wang, Zixian Wang, Niansong Wang, Liangxu Wang, Xinrong Wang, X-T Wang, Zhenning Wang, Dake Wang, Yu-Ting Wang, Zonggui Wang, Daping Wang, Joy Wang, Chenji Wang, Jingmin Wang, Yuyin Wang, Jin-Cheng Wang, Jiangbo Wang, Huiyang Wang, Chi Chiu Wang, He-Cheng Wang, Weina Wang, Qiaohong Wang, Qintao Wang, Jenny Y Wang, Zheyi Wang, Robert Yl Wang, Zhaotong Wang, Ya Wang, Fangyu Wang, Haobin Wang, Tianyuan Wang, Xinrui Wang, Zhehao Wang, Yihan Wang, Chuan-Jiang Wang, Jianjun Wang, Yongfeng Wang, Gaofu Wang, Ying-Piao Wang, Jingwei Wang, Mengjiao Wang, Chuyao Wang, Yanping Wang, Xinchun Wang, Shu Wang, Guibin Wang, Hong-Ying Wang, Linping Wang, Yugang Wang, Xinru Wang, Fengyun Wang, Heyong Wang, Ziping Wang, Yuegang Wang, Xiangyu Wang, Haoran Wang, Xiaomei Wang, Fang Wang, Lina Wang, Guowen Wang, Liyun Wang, Qingshui Wang, Baoyun Wang, Li-Juan Wang, Tongsong Wang, Jingyun Wang, Huiguo Wang, Zhibo Wang, Lou-Pin Wang, Renjun Wang, Huiting Wang, Junfeng Wang, Zihan Wang, Linhua Wang, Zhiji Wang, Fubao Wang, Eunice S Wang, Xiaojuan Wang, Yuewei Wang, Shuang Wang, Ruey-Yun Wang, Xiaoling Wang, Weihua Wang, Yanggan Wang, Jia Wang, Chaoqun Wang, Xiao-liang Wang, Manli Wang, Yongkang Wang, Huiwen Wang, Ting Chen Wang, Yixian Wang, Xinlin Wang, Shuya Wang, Bochu Wang, Kehao Wang, Sasa Wang, Mengshi Wang, Qiu-Ling Wang, Chengshuo Wang, Mengru Wang, Yiwei Wang, Xueyun Wang, Yijun Wang, Haomin Wang, Meng C Wang, Mengxiao Wang, Huan-You Wang, Jingheng Wang, Carol A Wang, Benjamin H Wang, Penglong Wang, Pei-Wen Wang, Jian-Long Wang, Wang Wang, Jinhui Wang, Yuanqing Wang, Jacob E Wang, Jian-Xiong Wang, Wenyu Wang, Chengze Wang, Hongmei Wang, Fengqiang Wang, Zijun Wang, Shaochun Wang, Qinwen Wang, Ruicheng Wang, Aixian Wang, Yanling Wang, Lu-Lu Wang, Linyuan Wang, Yeming Wang, Ye Wang, Tian-Yi Wang, Zhichao Wang, Dangfeng Wang, Jiucun Wang, Guo-Liang Wang, Guandi Wang, Zhuo-Xin Wang, Aili Wang, Fengliang Wang, Yingzi Wang, Lirong Wang, Xuekai Wang, Wei-En Wang, Jing-Xian Wang, Hesuiyuan Wang, Yuexin Wang, Suzhen Wang, Luping Wang, Xiuyu Wang, Zicheng Wang, Jiliang Wang, Rikang Wang, Xue Wang, Shudan Wang, Chun Wang, Hongxin Wang, Chenglong Wang, Junxiao Wang, Zhiqing Wang, Shawn Wang, Shunran Wang, Tiantian Wang, Youhua Wang, Xiao-Hui Wang, Qing-Yan Wang, Hanying Wang, Qiuping Wang, Yongzhong Wang, Jin-Xia Wang, Xiao-Tong Wang, Shun Wang, Xiaoqun Wang, Ching-Jen Wang, Xin Wang, Hanbin Wang, Yingwen Wang, Jia Bei Wang, Xiaodan Wang, Wenhan Wang, Jia-Yu Wang, Xiaozhi Wang, Xinkun Wang, Jinhao Wang, KeShan Wang, Shengdong Wang, Jinzhu Wang, Lihui Wang, Bicheng Wang, Chao-Jun Wang, Shaoyi Wang, Yajing Wang, Qing-Bin Wang, Feiyan Wang, Geng Wang, Chen Wang, Zhimin Wang, Cenxuan Wang, Wenjun Wang, Chuan-Chao Wang, Zexin Wang, Shu-Huei Wang, Yonggang Wang, Zhaoyu Wang, Xiaochuan Wang, Chuan-Hui Wang, Junshuang Wang, X F Wang, Li-Ting Wang, Chenxin Wang, Qiao-Ping Wang, Jingqi Wang, Xiongjun Wang, Shuang-Shuang Wang, Xu Wang, Houchun Wang, Yaodong Wang, Lujuan Wang, Jilin Wang, Peichang Wang, Keyun Wang, Ruixuan Wang, Zhangying Wang, Lianyong Wang, Dongyu Wang, Xinghui Wang, Binghan Wang, Guanduo Wang, Xian-e Wang, Guimin Wang, Xiaomeng Wang, Yuh-Hwa Wang, Jinru Wang, Mingyu Wang, Binbin Wang, Chaokui Wang, Linhui Wang, Youzhi Wang, Zhenqian Wang, Jialiang Wang, Sufang Wang, Haiyan Wang, Yankun Wang, Yingbo Wang, Zilong Wang, Xiao-Qun Wang, Lin-Fa Wang, Wenhao Wang, P Wang, Rui-Hong Wang, Xiao-jian WANG, Pei Chang Wang, Zhengkun Wang, Vivian Wang, Ying Wang, Zihuan Wang, Peiwen Wang, Chao Wang, Da-Zhi Wang, He-Tong Wang, Mofei Wang, Zezhou Wang, Liyong Wang, Bruce Wang, Hao-Tian Wang, Jin-Juan Wang, Yucheng Wang, Yong-Gang Wang, Saili Wang, Xiuwen Wang, Ruiquan Wang, Xinmei Wang, Zhezhi Wang, Xiao-Jie Wang, H Y Wang, Li-Dong Wang, Duanyang Wang, Kaiting Wang, Yikang Wang, Yichen Wang, Ting-Chen Wang, Meixia Wang, ZhenXue Wang, Juan Wang, Shouling Wang, Lan Wang, Li Chun Wang, Xingxin Wang, Ruibing Wang, Xue-Ying Wang, Bi-Dar Wang, Jiayang Wang, Suxia Wang, Yumin Wang, Qing Jun Wang, Xinbo Wang, Youli Wang, Yi-Ni Wang, Xinran Wang, Lixian Wang, Kan Wang, Ruiming Wang, Qing-Yuan Wang, Kai-Kun Wang, Yaoxian Wang, Qing-Jin Wang, Junmei Wang, Xin Wei Wang, J P Wang, Xufei Wang, Yuqin Wang, Handong Wang, Li-San Wang, Guoling Wang, Wenrui Wang, Zhongwei Wang, Shi-Han Wang, Ruoxi Wang, Huiping Wang, Mu Wang, Weihong Wang, Minzhou Wang, Yakun Wang, Da-Cheng Wang, Pengjie Wang, Qihua Wang, Ji-Nuo Wang, Deshou Wang, Xiaowen Wang, Yaochun Wang, Qihao Wang, Ruiying Wang, Tiange Wang, Xi Wang, Yindan Wang, Lixin Wang, Zhaofeng Wang, Guixin Wang, Erming Wang, Haoyu Wang, Kexin Wang, Yiqiao Wang, Qi-Qi Wang, Shuiyun Wang, Xi-Rui Wang, Cai-Hong Wang, Zhizheng Wang, Mingxun Wang, Liangli Wang, Theodore Wang, Alexander Wang, Huayang Wang, Yinyin Wang, Shuzhong Wang, Tingting Wang, Jiao Wang, Wenxian Wang, Jianghua Wang, Furong Wang, Shijun Wang, Le Wang, Guihua Wang, Xiaokun Wang, Xia Wang, Jiabei Wang, Guoying Wang, Zeyuan Wang, Jue Wang, Jin-E Wang, Jingru Wang, Chun-Li Wang, Xiaole Wang, Ermao Wang, Lanlan Wang, Ye-Ran Wang, Hao Wang, Xv Wang, Shikang Wang, Yufei Wang, Siyi Wang, Xiujuan Wang, Qinyun Wang, Xiangwei Wang, Jian-Hong Wang, David Q-H Wang, Chunjuan Wang, Weiyan Wang, Jia-Liang Wang, Yanxing Wang, Sheri Wang, Chenwei Wang, Haoping Wang, Sheng-Quan Wang, Xiangrong Wang, Xiao-Yi Wang, Huan Wang, Zhitao Wang, Xinyan Wang, J Wang, Kaixi Wang, Huihua Wang, Renwei Wang, Xiaoliang Wang, Xiao-Lin Wang, Tian-Lu Wang, Jiou Wang, Weiqin Wang, Jiamin Wang, Dennis Wang, Ji-Yao Wang, Pingping Wang, Jinyang Wang, Chen-Cen Wang, Chien-Wei Wang, Daolong Wang, Rong-Tsorng Wang, Yuwei Wang, Guo-Ping Wang, Zhentang Wang, F Wang, Xueju Wang, Saisai Wang, Zhehai Wang, Y B Wang, Xiao Wang, Guobing Wang, Kangmei Wang, Chunguo Wang, Longcai Wang, Haina Wang, Chih-Hsien Wang, Yuli Wang, Ling-Ling Wang, Zhangshun Wang, Xue-Lian Wang, Jianxin Wang, Da-Yan Wang, Xianghua Wang, Peng Wang, Yu Qin Wang, Zhao-Jun Wang, Rui-Rui Wang, Xingyue Wang, Man Wang, Daozhong Wang, Tian-Li Wang, Luhui Wang, Gaopin Wang, Mengze Wang, Jizheng Wang, Hong-Yan Wang, Dongying Wang, Wenkai Wang, Stephani Wang, Dan-Dan Wang, Yicheng Wang, Yusheng Wang, Junwen Wang, Gao Wang, Ruo-Nan Wang, Yifan Wang, Jueqiong Wang, Xuewei Wang, Jianning Wang, Yonglun Wang, Shiwen Wang, Lifang Wang, Fuyan Wang, Jian-Bin Wang, Chonglong Wang, Haiwei Wang, Yike Wang, Chunxia Wang, Kaijuan Wang, Minglei Wang, Jingxiao Wang, Luting Wang, David Wang, Ben Wang, Ji-zheng Wang, Yuncong Wang, Lei P Wang, Tingye Wang, Wenke Wang, Ping Wang, Min Wang, Qiang-Sheng Wang, Xuejing Wang, Zhanju Wang, Xixi Wang, Xiaodong Wang, Chaomeng Wang, Yanong Wang, Xinghao Wang, Jiaming Wang, Siyuan Wang, Jiu Wang, Ruizhi Wang, Qing Mei Wang, Wenyi Wang, Yiqing Wang, Cai Ren Wang, Lianchun Wang, Xing-Ping Wang, Xiaoman Wang, Yanjin Wang, Xueqin Wang, Chenliang Wang, Zhenshan Wang, Junhong Wang, Guiping Wang, Xianrong Wang, Xumeng Wang, Dajia Wang, Huang Wang, Huie Wang, Weiwen Wang, Ruiwen Wang, Qing Wang, Haohao Wang, Bao-Long Wang, P Jeremy Wang, Chengqiang Wang, Suli Wang, Lingyan Wang, Chi Wang, Meng Wang, Luwen Wang, Quan Wang, Yan-Jun Wang, Sen Wang, Ruining Wang, Xiaozhen Wang, Zhiping Wang, Xue-Yao Wang, Yuming Wang, Jingjing Wang, Jiazheng Wang, Yunong Wang, Chongze Wang, Rufang Wang, Qiuning Wang, Tiannan Wang, Liqing Wang, Wencheng Wang, Xuefeng Wang, Yongli Wang, Xinwen Wang, Runzhi Wang, Chaojie Wang, Wentao Wang, Zhifeng Wang, Yanan Wang, Mengqi Wang, Limin Wang, Donglin Wang, Shujin Wang, Chengbin Wang, Qiu-Xia Wang, Zhengxuan Wang, Yancun Wang, Yuhuan Wang, Wei Wang, G-W Wang, Bangmao Wang, Kejia Wang, Jinjin Wang, Qifei Wang, Guobin Wang, Chun-Lin Wang, Jing-Shi Wang, Jiheng Wang, Huajing Wang, Yanlin Wang, Chuansheng Wang, Cailian Wang, Beilan Wang, Luofu Wang, Yangpeng Wang, Jieqi Wang, Weilin Wang, Xiaoxuan Wang, Yangyufan Wang, Xiao-Fei Wang, Chen-Ma Wang, Yun Yong Wang, Shizhi Wang, B Wang, Yuling Wang, Yi-Yi Wang, Fanwen Wang, Aiyun Wang, Jian Wang, Chengyu Wang, Jing-Huan Wang, Ning Wang, Yichuan Wang, L F Wang, Chau-Jong Wang, Xin-Yang Wang, Yunzhe Wang, Xuewen Wang, Sheng-Ping Wang, Bi Wang, Qiuting Wang, Yan-Jiang Wang, Dongshi Wang, Yingna Wang, Jingyue Wang, Hongshan Wang, Chunjiong Wang, Hong-Yang Wang, Yingmei Wang, Danfeng Wang, Zhongyi Wang, Teng Wang, Chih-Hao Wang, Mingchao Wang, Yi-Chuan Wang, Chuning Wang, Shihao Wang, Ming-Wei Wang, Menglu Wang, Zhulun Wang, Wuji Wang, Dao-Xin Wang, Han Wang, Jincheng Wang, Thomas T Y Wang, Qingyun Wang, Guoliang Wang, Jihong Wang, Hong-Qin Wang, G Wang, Hsei-Wei Wang, Linfang Wang, Xiao Ling Wang, Ganyu Wang, Zhengdong Wang, Cuizhe Wang, Hongyu Wang, Tieqiao Wang, Lijuan Wang, Jingchun Wang, Youzhao Wang, Zijian Wang, Ziheng Wang, Xingyu Wang, Shuning Wang, Shaokun Wang, Zhifu Wang, Xinqi Wang, Jinqiu Wang, ZhongXia Wang, Yanyun Wang, Dadong Wang, Xingjie Wang, Yiting Wang, Zhongli Wang, Junyu Wang, Jianding Wang, Meng-Wei Wang, Yingge Wang, Zhenchang Wang, Qun Wang, Jin-Xing Wang, Lijun Wang, Shuqing Wang, Fu-Yan Wang, Sheng-Nan Wang, Feijie Wang, Qiuyan Wang, Ying-Wei Wang, Shitao Wang, Meng-hong Wang, Zhengyang Wang, Jinghong Wang, Zhiying Wang, Pei Wang, Weixue Wang, Shiyue Wang, Xiaohong Wang, Daiwei Wang, Jinghua Wang, S X Wang, Jian-Yong Wang, Zeying Wang, Can Wang, Kehan Wang, Yunzhang Wang, Jinping Wang, Chenchen Wang, Chun-Ting Wang, Yujiao Wang, Xinxin Wang, Ji Wang, Sui Wang, Wenqiang Wang, Yingwei Wang, Shuzhen Wang, Daixi Wang, Yanming Wang, Lin-Yu Wang, Hongyin Wang, Zhongqun Wang, Er-Jin Wang, Yi Wang, Ziyi Wang, Lianghai Wang, Zhendan Wang, Xiao-Ming Wang, Chengyan Wang, Hui Miao Wang, Jingyi Wang, Ranran Wang, Banghui Wang, Huilun Wang, Ai-Ting Wang, Wenxuan Wang, Yuan-Hung Wang, Zixuan Wang, Hailing Wang, Xuan-Ying Wang, Jiqiu Wang, Yalong Wang, Xiaogang Wang, Shu-qiang Wang, Yun-Jin Wang, Zijie Wang, Tianlin Wang, Mingqiang Wang, Lufang Wang, Jin'e Wang, Xiru Wang, Cuili Wang, GuoYou Wang, Zhizhong Wang, Haifei Wang, Guorong Wang, Xinyue Wang, Pei-Juan Wang, Jiangong Wang, Yingte Wang, Huajin Wang, Ruibo Wang, Kejian Wang, Cheng-Cheng Wang, Xusheng Wang, Shu-Na Wang, Panliang Wang, Mingxi Wang, Shenqi Wang, Zifeng Wang, Chaozhan Wang, Xiuyuan Hugh Wang, Yuping Wang, Xujing Wang, Kai Wang, Hongbing Wang, Sheng-Yang Wang, Jianfei Wang, Hang Wang, Jing-Jing Wang, Weizhi Wang, Jixuan Wang, De-He Wang, P L Wang, Ningjian Wang, Chunyi Wang, Isabel Z Wang, Yong Wang, Yiming Wang, Mingzhi Wang, Jiying Wang, Qian-Wen Wang, Shusen Wang, Xiaoting Wang, Baogui Wang, Mingsong Wang, Zixia Wang, Demin Wang, Shiyuan Wang, Qiuli Wang, C Wang, Dongliang Wang, Weixiao Wang, Yinsheng Wang, Chunmei Wang, Huaili Wang, Xuelian Wang, Yongjun Wang, Zhi-Qin Wang, Jiaying Wang, Yulong Wang, Ren Wang, Jingnan Wang, Qishan Wang, Zeneng Wang, Guangsuo Wang, Chijia Wang, Huiqun Wang, Hongcai Wang, Donghao Wang, Xing-Jin Wang, Zongji Wang, Shenao Wang, Jiaqian Wang, Xiaoying Wang, Yilin Wang, Hangzhou Wang, Wenchao Wang, Jieyu Wang, Li-E Wang, Xuezhen Wang, Liuyang Wang, Zhiqian Wang, Fang-Tao Wang, Qiong Wang, Meng-Meng Wang, Youji Wang, Jiafeng Wang, Xiaojing Wang, William Wang, Junmin Wang, Laijian Wang, Xuexiang Wang, Huiyan Wang, T Y Wang, Zhaofu Wang, Wen-mei Wang, Yalin Wang, Xinshuai Wang, Daqi Wang, Zhen Wang, Shi-Cheng Wang, Anni Wang, Chunhong Wang, Hai-Long Wang, Pan Wang, Charles C N Wang, Pengxiang Wang, Xianzong Wang, Xike Wang, Qianliang Wang, Chunyan Wang, Xuan Wang, Xiaofen Wang, Zhi-Jian Wang, Feng-Sheng Wang, Xiangru Wang, R Wang, Yi-Shu Wang, Jia-Lin Wang, Yonghong Wang, Lintao Wang, Pai Wang, Yanfei Wang, Xuanwen Wang, Lei-Lei Wang, Chenxuan Wang, James Wang, Xinhui Wang, Shengqi Wang, Yueshen Wang, Shan-Shan Wang, Dingting Wang, Zhige Wang, Jingfeng Wang, Yongqing Wang, Chenyang Wang, Ziliang Wang, Bao Wang, Xueyan Wang, Liping Wang, Xingde Wang, Weijun Wang, Sibo Wang, Yaoling Wang, Donghong Wang, Chenyu Wang, Justin Wang, Baolong Wang, Yiqi Wang, Fengyong Wang, Lichao Wang, Yachen Wang, Quanren Wang, Shiyu Wang, Boyu Wang, Aimin Wang, Zhenghui Wang, Hengjiao Wang, Xiaoxin X Wang, Weimin Wang, Mutian Wang, Zhuo-Hui Wang, Xingye Wang, Zou Wang, Yu-Wen Wang, Shaoli Wang, Xin-Ming Wang, Weirong Wang, Kangli Wang, Yaoxing Wang, Xuejie Wang, Qifeng Wang, Xiaoxin Wang, Yinghui Wang, Jianzhang Wang, Tom J Wang, Yaqiong Wang, Zongwei Wang, Yun-Hui Wang, Haiyun Wang, Zhiyou Wang, Lijin Wang, Jifei Wang, Haiyong Wang, Xiao-Xia Wang, Shyi-Gang P Wang, Chih-Yang Wang, Zhixin Wang, Jun-Jun Wang, Tianjing Wang, Zhixia Wang, Chuanhai Wang, Zhijie Wang, Silu Wang, Jianguo Wang, Ming-Hsi Wang, Liling Wang, Yanting Wang, Haolong Wang, Xue-Lei Wang, Ru Wang, Qinglin Wang, Christina Wang, Mimi Wang, Menghui Wang, Wenju Wang, Junhua Wang, S S Wang, Fangyong Wang, Lifen Wang, Zhenbin Wang, Yapeng Wang, Shaoshen Wang, B R Wang, Sugai Wang, Hequn Wang, Songlin Wang, Wenjie Wang, Xiang-Dong Wang, Ting-Hua Wang, Mingliang Wang, Chengniu Wang, Guoxiang Wang, E Wang, Xiaochun Wang, Xueting Wang, Ming-Jie Wang, Zhaojing Wang, Dongxu Wang, Yirui Wang, Jiatao Wang, Jing-Min Wang, Shih-Wei Wang, Zhengchun Wang, Chaoxian Wang, Zehua Wang, Qiyu Wang, Shuye Wang, Baojun Wang, Qing Kenneth Wang, Xichun Wang, Jianliu Wang, Junping Wang, Yudong Wang, Mingzhu Wang, Kangning Wang, Wei-Ting Wang, Hongfang Wang, Chengwen Wang, Changduo Wang, Jinkang Wang, Junya Wang, Fengge Wang, Jianping Wang, Chang Wang, Zhifang Wang, Deli Wang, Linghua Wang, Shitian Wang, Lingling Wang, Zhihua Wang, Jun-Ling Wang, Keyi Wang, Lingbing Wang, Peijia Wang, Ruizhe Wang, X O Wang, Wanyi Wang, Ganggang Wang, Pei-Hua Wang, Kaiyue Wang, Xiaojiao Wang, Xun Wang, Shiyang Wang, Ya-Ping Wang, Yirong Wang, Lixing Wang, Danyang Wang, Xiaotang Wang, Taian Wang, Ming Wang, Xiangcheng Wang, Xuemei Wang, Zhixiong Wang, Mengying Wang, Li-Yong Wang, Xinchao Wang, Jianlong Wang, Jinjie Wang, Nan Wang, Weidong Wang, Mei-Gui Wang, L-S Wang, Wuqing Wang, Z Wang, Ya-Zhou Wang, Xincheng Wang, Jing-Wen Wang, Jinyue Wang, Hongyun Wang, Huaizhi Wang, Yan-Zi Wang, Danling Wang, Dongqin Wang, Hongzhuang Wang, Chung-Teng Wang, Yan-Chun Wang, Shi-Xin Wang, Muxuan Wang, Yujie Wang, Yunbing Wang, Yahui Wang, Zhihong Wang, Xiaoshan Wang, Tienju Wang, Chiou-Miin Wang, Yuqian Wang, Shengyuan Wang, Yumei Wang, Ningyuan Wang, Minjie Wang, Zhenda Wang, Qing-Dong Wang, Horng-Dar Wang, Siqi Wang, Kaihong Wang, Hong-Kai Wang, Meiling Wang, Jiaxing Wang, Xueyi Wang, Zhuozhong Wang, Anlai Wang, Julie Wang, Jin-Bao Wang, Keke Wang, Zhang Wang, Yintao Wang, Yong-Bo Wang, Bing Wang, Dalu Wang, Minxian Wang, Zulong Wang, Gao T Wang, Gang Wang, Sophie H Wang, Xinquan Wang, Yi-Ting Wang, Honglian Wang, Ruyue Wang, Jia-Qiang Wang, Seungwon Wang, Shusheng Wang, Yanbin Wang, Chang-Yun Wang, Le-Xin Wang, Juling Wang, Haohui Wang, Chuanyue Wang, Tianqin Wang, Danqing Wang, Keyan Wang, Yeou-Lih Wang, Qinglu Wang, Sun Wang, Rui-Min Wang, Yong-Tang Wang, Xianwei Wang, Lixia Wang, Tong Wang, Xiaonan Wang, Feida Wang, Jiaxuan Wang, Mingrui Wang, Zixiang Wang, Y Z Wang, Yuliang Wang, Ming-Chih Wang, J J Wang, Huina Wang, Jingang Wang, Jinyun Wang, Min-sheng Wang, Wanyao Wang, Ziqiu Wang, Guo-Quan Wang, Xueping Wang, Qixue Wang, Hechuan Wang, Shang Wang, Chaohan Wang, M H Wang, L Z Wang, Jianhui Wang, Xifeng Wang, Xiaorong Wang, Yinong Wang, Zhixiu Wang, Jiaxi Wang, Jiahui Wang, Xiaofei Wang, Feifei Wang, Kesheng Wang, Rong-Chun Wang, Zhi-Xin Wang, Chaoyu Wang, Yongkuan Wang, Zuoyan Wang, Hsueh-Chun Wang, Xixiang Wang, Guanrou Wang, Songsong Wang, Hongyuan Wang, Yubing Wang, Xuliang Wang, Wen-Ying Wang, Xinglei Wang, Dao-Wen Wang, Yun Wang, Ze Wang, Jiyan Wang, Zai Wang, Guan Wang, Chih-Chun Wang, Yiqin Wang, X S Wang, Hongzhan Wang, Exing Wang, Shu-Jin Wang, Shangyu Wang, Shouzhi Wang, Yunduan Wang, Jiyong Wang, Dongdong Wang, Qingzhong Wang, Zi-Qi Wang, Renyuan Wang, Siyu Wang, Donghui Wang, Ming-Yuan Wang, Juxiang Wang, Muxiao Wang, Fu Wang, Fei Wang, Qiuyu Wang, Ertao Wang, Zhi Xiao Wang, Zunxian Wang, Hui-Nan Wang, Rongping Wang, Won-Jing Wang, Leiming Wang, Pu Wang, Shen-Nien Wang, Xiaona Wang, Meng-Ying Wang, Wen-Jie Wang, Jiaxin Wang, RuNan Wang, Jiemei Wang, Ningli Wang, Zhong-Hui Wang, Hong Wang, Hui-Yu Wang, Ziqian Wang, Xinzhou Wang, Zhoufeng Wang, Weiguang Wang, Zusen Wang, Jiajia Wang, Bin Wang, Shu-Xia Wang, Yu'e Wang, Laidi Wang, Xiao-Li Wang, Lu Wang, Zhugang Wang, Maojie Wang, Ganglin Wang, Xinyu Wang, Junlin Wang, Dong Wang, Yao Wang, Ya-Jie Wang, Zhiwu Wang, DongWei Wang, Hongdan Wang, Yanxia Wang, Maiqiu Wang, Guansong Wang, Qingtong Wang, Yingcheng Wang, Wenjuan Wang, Liying Wang, Xiaolong Wang, Weihao Wang, Qiushi Wang, Yingfei Wang, Haoyang Wang, Li-Li Wang, Yanbing Wang, Yingchun Wang, Guangming Wang, Kaiyuan Wang, Shiqi Wang, Qi-En Wang, Song Wang, Jing-Hao Wang, Lynn Yuning Wang, Zekun Wang, Rui-Ping Wang, Yining E Wang, Yuzhou Wang, Liu Wang, Maochun Wang, Cindy Wang, Qian-Liang Wang, Duo-Ping Wang, Linlin Wang, Taishu Wang, Xiang Wang, Qirui Wang, Baoming Wang, Liting Wang, Jiapan Wang, Lingda Wang, Xietong Wang, Jia-Mei Wang, Liwei Wang, Shaozheng Wang, Q Wang, Timothy C Wang, Mengyue Wang, Xing Wang, Yahong Wang, Yuyong Wang, Yujiong Wang, Guangliang Wang, Ya-Qin Wang, Yezhou Wang, Hongjian Wang, Su-Hua Wang, Qian-fei Wang, Meng-Dan Wang, Yuchen Wang, Hongpin Wang, Pengfei Wang, Ge Wang, Meijun Wang, Yan-Ming Wang, Haichao Wang, Tzung-Dau Wang, Runci Wang, Yan-Yi Wang, Cheng-Jie Wang, Chen-Yu Wang, Cong Wang, Yaxuan Wang, Y H Wang, Yongjie Wang, Yuntai Wang, Ranjing Wang, Yiru Wang, Anxiang Wang, Q Z Wang, Shimiao Wang, Guoping Wang, Junke Wang, Xingyun Wang, Zhengyi Wang, Shi-Qi Wang, Yanfeng Wang, Danxin Wang, Chaodong Wang, Zhiqi Wang, Chunyu Wang, Lijia Wang, Chunlong Wang, Haiping Wang, Qingfa Wang, Yu-Fan Wang, Baihan Wang, Chunxue Wang, Liewei Wang, Xinyi Wang, Fu-Zhen Wang, Qing-Mei Wang, Sheng Wang, Yi-Tao Wang, Dawei Wang, Xiaoyu Wang, Ziling Wang, Zhonglin Wang, Rurong Wang, Qingchun Wang, Qiang Wang, Suiyan Wang, Xu-Hong Wang, Jie Jin Wang, Chenyao Wang, Fei-Yan Wang, Shi Wang, Zhiyong Wang, Jieda Wang, Xiaoqi Wang, Linshu Wang, Ruxuan Wang, Qian Wang, Qianxu Wang, Fangjie Wang, Zhaoxia Wang, Jeremy R Wang, Mingmei Wang, Jingkang Wang, Jen-Chun Wang, Changyuan Wang, Chenglin Wang, Meng-Ru Wang, Tianpeng Wang, Zhongfang Wang, Xuedong Wang, Zhuoying Wang, Bingyu Wang, Xuelai Wang, Weilong Wang, Mengge Wang, Qin Wang, Da-Li Wang, Xuanyi Wang, Hongjuan Wang, Zhi-Hua Wang, Hong-Wei Wang, Yulai Wang, Gongming Wang, Yongni Wang, Mengya Wang, Yadong Wang, Chenghao Wang, Hongbo Wang, Kaiming Wang, Haonan Wang, Guanyun Wang, Yilu Wang, Quanxi Wang, Weiyuan Wang, Xiujun Wang, Liang-Yan Wang, Jianshe Wang, Yingxiong Wang, Cunchuan Wang, Jing-Zhai Wang, Yuelong Wang, Yuqi Wang, Xiaorui Wang, Qianjin Wang, Huijun Wang, Xiaobo Wang, Guoqian Wang, Luhong Wang, Kaining Wang, Chaohui Wang, Yanhong Wang, J-Y Wang, Qi-Bing Wang, Xiaohu Wang, Jiayan Wang, Cui-Shan Wang, Lulu Wang, Yong-Jie Wang, Shixuan Wang, Yuanyuan Wang, Jianying Wang, Haizhen Wang, Shuiliang Wang, Qianbao Wang, Jung-Pan Wang, Rixiang Wang, A Wang, Hanbing Wang, Caiqin Wang, Peigeng Wang, Yuan Wang, Yuzhuo Wang, Yubo Wang, Xianding Wang, Qiaoqi Wang, Cuiling Wang, Ai-Ling Wang, Hailong Wang, Yihao Wang, Lan-Wan Wang, Haihe Wang, S Wang, Sha Wang, Xiaoli Wang, David Q H Wang, Jianfang Wang, Yuting Wang, Jinhuan Wang, Kaixu Wang, Hongwei Wang, Yi-Wen Wang, Yizhe Wang, Shengyu Wang, Yanmei Wang, Huimin Wang, Youjie Wang, Kunhua Wang, Chongjian Wang, Ziyun Wang, Tianhui Wang, Huiying Wang, Yue-Nan Wang, Peiyin Wang, Hongbin Wang, Hong Yi Wang, Xinjun Wang, Yian Wang, Liyi Wang, Yunce Wang, Yi-Xuan Wang, Yitao Wang, Jiali Wang, Junqin Wang, Yuebing Wang, Yiping Wang, Yunpeng Wang, Yuxing Wang, Shuqi Wang, Ziyu Wang, Hongjie Wang, Xiaoyan Wang, Lianshui Wang, Xiaolu Wang, Wenya Wang, Fan Wang, Jinhua Wang, Sidan Wang, Lixiang Wang, Y L Wang, Xue-Rui Wang, Kai-Wen Wang, Zhongyu Wang, Xiaoyang Wang, Hongyang Wang, Rencheng Wang, Yinxiong Wang, Yuanli Wang, Zhuqing Wang, Y-H Wang, Yuhui Wang, Xitian Wang, Weizhen Wang, Qi Wang, Qiyuan Wang, Changlong Wang, Yatao Wang, Tengfei Wang, Yehan Wang
articles
Ying Liu, Ting Miao, Alice Wang +10 more Β· 2025 Β· bioRxiv : the preprint server for biology Β· Cold Spring Harbor Laboratory Β· added 2026-04-24
Paraneoplastic syndromes arise when tumor-derived cytokines reprogram distant organs. Although mediators such as Interleukin-6 have been implicated, how these signals impair host organ function remain Show more
Paraneoplastic syndromes arise when tumor-derived cytokines reprogram distant organs. Although mediators such as Interleukin-6 have been implicated, how these signals impair host organ function remains incompletely defined. Here, we identify a cytokine-lipid axis that drives hepatic autophagy dysfunction. Specifically, in Show less
πŸ“„ PDF DOI: 10.1101/2025.10.01.679814
LPL
Yingying Sun, Liyan Li, Fengjuan Jiang +9 more Β· 2025 Β· Clinical laboratory Β· added 2026-04-24
Lymphoplasmacytic Lymphoma (LPL) with immunoglobulin (Ig)A paraprotein is rare. When plasma cells dominate, the diagnosis becomes more challenging. We reported a case of a 71-year-old male with elevat Show more
Lymphoplasmacytic Lymphoma (LPL) with immunoglobulin (Ig)A paraprotein is rare. When plasma cells dominate, the diagnosis becomes more challenging. We reported a case of a 71-year-old male with elevated creatinine, splenomegaly, monoclonal IgA, and MYD88 mutation. Only monoclonal plasma cells were detected first, leading to a misdiagnosis of multiple myeloma. When progressive spleen enlargement was observed, re-evaluation revealed the emergence of monoclonal lymphocytes and the diagnosis was revised to LPL. The addition of rituximab to DVD regimen led to a partial response. For cases where an initial definitive diagnosis cannot be established, close follow-up is required for timely diagnosis revision and therapeutic adjustment. Show less
no PDF DOI: 10.7754/Clin.Lab.2025.250425
LPL
Run Fang, Kehao Wang, Yulong Liu +3 more Β· 2025 Β· Science progress Β· SAGE Publications Β· added 2026-04-24
BackgroundSchatzker IV-C tibial plateau fractures pose a significant challenge for adequate visualization and reduction of the lateral articular surface through a solitary posteromedial (PM) approach. Show more
BackgroundSchatzker IV-C tibial plateau fractures pose a significant challenge for adequate visualization and reduction of the lateral articular surface through a solitary posteromedial (PM) approach. This study aimed to evaluate the effectiveness of an adjunctive lateral patellar ligament (LPL) approach in enhancing articular exposure, assessed through cadaveric modeling and a clinical case series.MethodsIn a cadaveric study, eight preserved knee specimens were dissected using a combined PM and LPL approach. The exposed articular area was quantitatively measured using calibrated digital imaging and ImageJ software before and after the LPL approach was established. Clinically, a case series of 10 patients with Schatzker IV-C fractures underwent open reduction and internal fixation via the combined approach between October 2021 and December 2023. Outcome measures included intraoperative exposure, 12-month postoperative Knee Society Score (KSS), and complications.ResultsThe addition of the LPL approach resulted in a 96% increase in the mean exposed articular area (from 8.4β€―cmΒ² to 16.5β€―cmΒ²; Show less
πŸ“„ PDF DOI: 10.1177/00368504251392607
LPL
Jianing Gu, Xue Tian, Tiantian Wang +10 more Β· 2025 Β· Aquaculture nutrition Β· added 2026-04-24
The current trial sought to assess the impact of fermented chicory root waste (FCRW) dietary administration on growth, lipid metabolism, chemical composition, and intestinal barrier pathway in common Show more
The current trial sought to assess the impact of fermented chicory root waste (FCRW) dietary administration on growth, lipid metabolism, chemical composition, and intestinal barrier pathway in common carp ( Show less
πŸ“„ PDF DOI: 10.1155/anu/2234393
LPL
Ping Wang, Liping Zhu, Kecai Chen +6 more Β· 2025 Β· Ecotoxicology and environmental safety Β· Elsevier Β· added 2026-04-24
Oxidative deterioration of fish oil in aquafeeds poses a significant challenge to fish health and aquaculture sustainability, making it crucial to mitigate this issue through healthy and green nutriti Show more
Oxidative deterioration of fish oil in aquafeeds poses a significant challenge to fish health and aquaculture sustainability, making it crucial to mitigate this issue through healthy and green nutritional strategies. This study examined the potential of stevia chlorogenic acid (SCGA), a bioactive byproduct of stevia processing, to alleviate intestinal injury, gut microbiota dysbiosis, and lipid metabolism disorders induced by oxidized fish oil in turbot. Four diets with equal nitrogen and lipid contents were formulated: a control diet (PC) containing 5β€―% fresh fish oil, an oxidized fish oil diet (OFO) comprising 5β€―% oxidized fish oil, and two additional OFO diets supplemented with 200β€―mg/kg (OFO200) or 400β€―mg/kg (OFO400) of SCGA. Each dietary treatment was randomly assigned to three replicates, each containing 40 fish weighing approximately 16.99β€―Β±β€―0.01β€―g, and administered over a 10-week period. Fish fed the OFO diet exhibited significantly compromised growth performance, as indicated by decreased WGR and SGR, along with reduced serum immune indices (IgM, C3, and C4) and lipid parameters (TC, HDL, LDL), and elevated serum D-LA levels (Pβ€―<β€―0.05). Moreover, dietary OFO markedly suppressed antioxidant enzyme activities (serum SOD; intestinal SOD, GSH-Px, and CAT) and elevated MDA concentrations (Pβ€―<β€―0.05). Additionally, OFO reduced intestinal expression of tight junction-associated genes (Claudin-4, Claudin-7, Occludin) while increasing expression levels of MLCK, Keap1, inflammatory mediators (IL-6, IL-1Ξ², TNF-Ξ±2, NF-ΞΊB, IFN-Ξ³), and Caspase7 (Pβ€―<β€―0.05). Notably, the TLR signaling pathway-related genes were upregulated, accompanied by pronounced shifts in gut microbiota composition (Pβ€―<β€―0.05). In hepatic tissue, lipogenesis-associated genes (FAS, ACC) were significantly increased, while key genes involved in lipid transport and Ξ²-oxidation (CD36, LPL, ACOX1, PPARΞ³) exhibited reduced expression (Pβ€―<β€―0.05). Dietary supplementation with 200 and 400β€―mg/kg SCGA effectively mitigated these detrimental impacts. SCGA restored growth performance, serum immune parameters, and antioxidant enzyme activities to levels comparable to the PC group. It also normalized gene expression related to intestinal barrier function, inflammation, apoptosis, and hepatic lipid metabolism. Furthermore, SCGA supplementation modulated gut microbiota structure by increasing beneficial genera and decreasing potential pathogens. In conclusion, SCGA effectively improves growth performance, alleviates OFO-induced intestinal injury and microbial dysbiosis, and regulates lipid metabolism in turbot. These findings provide theoretical insights and technical support for the application of SCGA in aquaculture. Show less
no PDF DOI: 10.1016/j.ecoenv.2025.119321
LPL

miR-10c Targets

Wen Wang, Wenjing Tao, Jixiang Hua +4 more Β· 2025 Β· International journal of molecular sciences Β· MDPI Β· added 2026-04-24
Heat stress induces metabolic adaptations in fish, including the regulation of triglyceride (TG) synthesis/degradation to preserve cellular lipid balance and energy homeostasis. Diacylglycerol acyltra Show more
Heat stress induces metabolic adaptations in fish, including the regulation of triglyceride (TG) synthesis/degradation to preserve cellular lipid balance and energy homeostasis. Diacylglycerol acyltransferase (DGAT) catalyzes the final step in TG synthesis. However, the molecular mechanisms by which DGAT regulates TG metabolism in heat-stressed fish remain unexplored. Our previous study suggested that miR-10c regulates Show less
πŸ“„ PDF DOI: 10.3390/ijms26199717
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Jiaming Wang, Tongping Shen, Shihao Wang Β· 2025 Β· Medicine Β· added 2026-04-24
Hepatocellular carcinoma (HCC), as a cancer with high morbidity and mortality, urgently requires the development of a clinical prediction model with high robustness and generalizability and its progno Show more
Hepatocellular carcinoma (HCC), as a cancer with high morbidity and mortality, urgently requires the development of a clinical prediction model with high robustness and generalizability and its prognostic study of the tumor microenvironment to provide personalized clinical treatment for patients. Key prognostic genes were screened by analyzing mRNA expression data from GTEx and The Cancer Genome Atlas (TCGA) using limma difference analysis, Cox analysis, and machine learning (ML) algorithms. TCGA database was used as a training set, and the International Cancer Genome Consortium database was used as a test set to screen the best prognostic modeling algorithms using a combination of 101 ML algorithms for training and constructing Nomo score plots based on the algorithmic risk scores as well as Shiny online prediction models. Based on shapley additive explanations analysis, drug sensitivity analysis, and immune infiltration analysis were performed on the 6 genes screened to visualize the importance of prognostic genes. HCC tumor mutation load analysis was also performed. A risk prediction model for HCC death was developed based on the RSF algorithm, with an RSF model C-index of 0.765 and AUC values of 0.978, 0.989, and 0.964 for 1-, 3-, and 5-year ROC curves for the Nomo score model, respectively. LPL, RAET1E, RNASEH2A, GTF2H4, SCML2, and PRDM12 were potential diagnostic and prognostic markers, among which SCML2 and PRDM12 were significantly correlated with multiple drugs in drug sensitivity analysis.TP53 mutations were correlated with patients' age, chronological age, gender, histological tumor stage, T stage, and lymph node metastasis. An online HCC mortality risk prediction model was developed using the RSF algorithm. LPL, RAET1E, RNASEH2A, GTF2H4, SCML2, and PRDM12 are potential prognostic target genes, whereas TP53 mutations are associated with clinical features that may inform the development of HCC therapy. Show less
πŸ“„ PDF DOI: 10.1097/MD.0000000000044966
LPL
Luting Wang, Qiuxia Wan, Lina Lu +3 more Β· 2025 Β· Medicine Β· added 2026-04-24
Lymphoplasmacytic lymphoma (LPL) represents a rare, indolent form of B-cell neoplasm, with non-immunoglobulin M subtypes, including the immunoglobulin G (IgG)-Ξ» variant, being notably uncommon. In thi Show more
Lymphoplasmacytic lymphoma (LPL) represents a rare, indolent form of B-cell neoplasm, with non-immunoglobulin M subtypes, including the immunoglobulin G (IgG)-Ξ» variant, being notably uncommon. In this report, we document a case of LPL distinguished by the presence of monoclonal IgG-Ξ» immunoglobulin and free Ξ» light chains, alongside its distinctive molecular characteristics and therapeutic outcomes. A 58-year-old male presented with fatigue, leukocytosis (75.45 × 109/L, 88.8% lymphocytes), lymphadenopathy, and splenomegaly. Serum studies detected an IgG-Ξ» monoclonal protein (6.74 g/L) with concurrent elevation of free Ξ» light chains. Bone marrow biopsy revealed marked hypercellularity, with lymphocytes comprising 80% of nucleated cells (predominantly plasmacytoid lymphocytes) and 5% plasma cell clusters. Genetic testing identified mutations in MYD88, CXCR4, and IGHV, along with trisomy 12 and del(13q14). He was diagnosed with LPL with IgG-Ξ» monoclonal immunoglobulin and free Ξ» light chains, classified as low risk per the Revised International Prognostic Scoring System. The patient received 3 cycles of bendamustine plus rituximab therapy. The blood cell count returned to normal and the spleen and lymph nodes were significantly reduced. Serum M protein levels decreased, and no obvious increase in B lymphocytes or plasma cells was found in the bone marrow. The patient achieved partial remission. This case highlights the diagnostic and therapeutic challenges associated with the IgG-Ξ» subtype of LPL, an uncommon variant of this rare malignancy. This report provides valuable insights into the clinical presentation, pathological features, molecular alterations, and treatment outcomes of this rare disease. Show less
πŸ“„ PDF DOI: 10.1097/MD.0000000000044847
LPL
Chenxuan Yu, Yu Ni, Yuxuan Xiong +9 more Β· 2025 Β· Cells Β· MDPI Β· added 2026-04-24
Traumatic brain injury (TBI) represents a major cause of mortality and disability worldwide, particularly affecting young adults and elderly populations. This study investigates the neuroprotective po Show more
Traumatic brain injury (TBI) represents a major cause of mortality and disability worldwide, particularly affecting young adults and elderly populations. This study investigates the neuroprotective potential of orlistat (ORL), a gastrointestinal lipase inhibitor, in a murine TBI model. Behavioral, histological, and molecular analyses demonstrated that ORL significantly attenuated TBI-induced neurological damage. Microglial depletion experiments revealed that ORL's neuroprotective effects were largely mediated through microglial modulation. In vitro and in vivo studies showed that ORL suppressed microglial activation, phagocytosis, and migration. Single-cell RNA sequencing identified upregulation of lipoprotein lipase (LPL) in a TBI-induced microglial subpopulation. Molecular docking predicted ORL-LPL binding, suggesting direct enzymatic inhibition. Transcriptomic and metabolomic analyses further revealed ORL's modulation of microglial metabolic pathways and inflammatory responses. Our findings position ORL as a promising repurposed therapeutic for TBI through its novel mechanism of targeting microglial LPL-mediated neuroinflammation. Show less
πŸ“„ PDF DOI: 10.3390/cells14181469
LPL
Shurui Zhang, Jing Zhao, Xiong Xie +4 more Β· 2025 Β· Journal of medicinal chemistry Β· ACS Publications Β· added 2026-04-24
Angiopoietin-like protein 3 (ANGPTL3) has emerged as an attractive therapeutic target for treating hyperlipidemia. Evinacumab, a monoclonal antibody targeting ANGPTL3, was approved by the FDA for homo Show more
Angiopoietin-like protein 3 (ANGPTL3) has emerged as an attractive therapeutic target for treating hyperlipidemia. Evinacumab, a monoclonal antibody targeting ANGPTL3, was approved by the FDA for homozygous familial hypercholesterolemia in 2021. Here, a series of novel sulfonamide scaffold ANGPTL3 modulators were designed and synthesized based on the structure-activity relationship (SAR) analysis. Among them, compound Show less
no PDF DOI: 10.1021/acs.jmedchem.5c00732
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Yu Wang, Haiyue Zhang, Yuanyuan Zhan +4 more Β· 2025 Β· PloS one Β· PLOS Β· added 2026-04-24
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship Show more
Sepsis is a severe systemic infection that can result in organ dysfunction and mortality. Dyslipidemia emerges as a key player in the intricate web of sepsis pathogenesis. Yet, the causal relationship between blood lipid profiles and sepsis risk remains uncertain. This study aims to investigate the association between genetically predicted lipid traits, drug targets, and sepsis. The UK Biobank's Genome-wide association studies (GWAS) produced data on lipid and apolipoprotein characteristics. Four independent GWAS datasets were used to generate the sepsis statistics. The study utilized the two-sample Mendelian randomization (MR) approach, which incorporates multivariable (MVMR) models, to assess the correlations between sepsis risk and lipid-related parameters. To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering. Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861-0.999; p = 0.047). This inverse correlation persevered even after performing multivariable MR. Elevated levels of HDL-C were associated with a decreased risk of sepsis (under 75) (OR 0.897, 95% CI 0.838-0.960; P = 0.002) and incidence of sepsis (OR 0.883, 95% CI 0.820-0.951; P = 0.001), which was consistent across sensitivity analyses. Furthermore, a decrease in total cholesterol exhibited a causal effect on sepsis in multivariable MR (OR 0.779, 95% CI 0.642-0.944; P = 0.01). The genetic variants related to lowering LDL-C, located near the HMGCR and LDLR genes, were predicted to elevate the risk of sepsis. Moreover, genetic mimicry near the ANGPTL3 and LPL gene suggested that reducing the activity of ANGPTL3 and LPL (mimicking antisense anti-ANGPTL3 and LPL agents) was forecasted to decrease sepsis risk. Genetically inferred elevated ApoA-1, total cholesterol, and HDL-C manifest a protective effect against sepsis. Within the 9 lipid-lowering drug targets investigated ANGPTL3 and LPL exhibit potential as candidate drug targets for sepsis. Show less
πŸ“„ PDF DOI: 10.1371/journal.pone.0331023
LPL
Liping Chen, Jiawei Wang, Kangyuan Li +6 more Β· 2025 Β· Journal of oleo science Β· added 2026-04-24
1,3-dilinoleoyl-2-palmitoylglycerol (LPL) is an important structural lipid in breast milk fat, which plays an important role in the health of infants, and therefore the development of an efficient met Show more
1,3-dilinoleoyl-2-palmitoylglycerol (LPL) is an important structural lipid in breast milk fat, which plays an important role in the health of infants, and therefore the development of an efficient method for the preparation of such compounds is necessary. In the present study, LPL was efficiently catalytically synthesized by immobilized lipase ANL-MARE as a biocatalyst using tripalmitate and linoleic acid in a solvent-free system, and its digestive properties were investigated. The optimal process conditions for the enzymatic acidolysis of LPL were optimized by response surface test: the molar ratio of PPP:LA was 1:10, the enzyme addition was 13.60%, the reaction temperature was 50℃, and the reaction time was 5 h. At this time, the relative content of LPL in the product was 67.78%, of which the relative content of sn-2 palmitic acid (sn-2 PA) accounted for 71.50%. In vitro gastrointestinal digestion of LPL resulted in the release of 59.69% of its fatty acids. The digested product contained higher levels of free unsaturated fatty acids and palmitic acid monoacylglycerols. In conclusion, the immobilized enzyme ANL-MARE has great potential to catalyze the preparation of LPL, which provides a new strategy and theoretical basis for the efficient preparation of human milk fat substitutes. Show less
no PDF DOI: 10.5650/jos.ess25025
LPL
Ying Zhang, Xin Zhao, Ning Yu +10 more Β· 2025 Β· The Journal of nutritional biochemistry Β· Elsevier Β· added 2026-04-24
Iodine is an essential micronutrient for developmental processes in the early stages; however, data on the effect of maternal iodine nutrition on milk lipids are limited. We aimed to explore the effec Show more
Iodine is an essential micronutrient for developmental processes in the early stages; however, data on the effect of maternal iodine nutrition on milk lipids are limited. We aimed to explore the effect of inadequate and excessive iodine intake on milk lipid metabolism and its mechanisms preliminarily. Rats were treated with different concentrations of potassium iodide water to construct animal models of iodine deficiency and excess. Iodine excess reduced serum total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels during lactation. Iodine deficiency had no significant effect on blood lipid indicators. In early and late lactation, iodine deficiency and excess inhibited triglyceride (TG) levels in milk; in mid-lactation, the inhibitory effect of iodine deficiency was attenuated. Under iodine deficiency and excess, the level of TG and the expression of THRΞ±1, THRΞ²1, ACC1, FAS, THRSP, BTN1A1, and ADFP proteins in the mammary gland were decreased during lactation; a decrease in LPL protein expression was observed in early and late lactation; and a decline of XOR protein expression was reported in mid and late lactation. Blood lipid metabolism was less sensitive to iodine deficiency during lactation. Iodine excess has a more profound effect on blood lipid metabolism, causing dyslipidemia in lactating rats. Long-term iodine deficiency and excess may have a negative role in the mechanisms regulating milk lipid synthesis and secretion by affecting thyroid hormones to inhibit the milk TG level. Show less
no PDF DOI: 10.1016/j.jnutbio.2025.110085
LPL
Xinyue Shen, Chaobin Qin, Zhixiang Wang +5 more Β· 2025 Β· FASEB journal : official publication of the Federation of American Societies for Experimental Biology Β· added 2026-04-24
The content and composition of milk fat are critical determinants influencing milk flavor, nutritional value, and economic significance. Buffalo milk is characterized by its high-fat content and compl Show more
The content and composition of milk fat are critical determinants influencing milk flavor, nutritional value, and economic significance. Buffalo milk is characterized by its high-fat content and complex lipid profile, characterized by elevated levels of health-beneficial fatty acids such as linoleic acid, Ξ±-linolenic acid, and arachidonic acid. However, the molecular regulatory mechanisms governing milk fat synthesis in buffaloes remain incompletely elucidated. This study employed transcriptomic analysis of milk fat globules (MFGs) from buffaloes exhibiting high and low milk fat content, identifying 15 949 annotated genes, including 234 differentially expressed genes (DEGs). Functional enrichment analysis revealed that these DEGs were predominantly associated with cell proliferation and differentiation, glyconeogenesis, and reproductive system development. Notably, the expression of IGFBP4, AGPAT4, GPAT3, GPR84, and PC exhibited positive correlations with buffalo milk fat content, identifying them as potential candidate genes regulating milk fat synthesis. Proteomic profiling identified 1678 proteins, including 53 differentially expressed proteins (DEPs). Enrichment analysis indicated that DEPs were primarily involved in nucleotide metabolism, the tricarboxylic acid (TCA) cycle, glycerophospholipid metabolism, and TGF-Ξ² signaling. Integrated analysis revealed potential interactions involving the IGFBP4 and PC genes, as well as the ACO1, TMED7, and APRT proteins, highlighting IGFBP4 as a pivotal regulator of milk fat synthesis. Functional validation demonstrated that overexpression or knockdown of IGFBP4 in buffalo mammary epithelial cells (BMECs) significantly modulated cell proliferation and altered the expression of key milk fat synthesis-related genes (FABP3, LPL, SCD, ACACA, and FASN), indicating that IGFBP4 can promote de novo fatty acid synthesis and intracellular lipid storage while inhibiting exogenous fatty acid uptake. Collectively, this study provides novel mechanistic insights into the regulation of milk fat synthesis in buffaloes and establishes a foundation for enhancing lactation traits through targeted genetic breeding strategies. Show less
πŸ“„ PDF DOI: 10.1096/fj.202502191R
LPL
Menglu Zhang, Liping Yan, Kuixian Wu +5 more Β· 2025 Β· Journal of dairy science Β· added 2026-04-24
The size of fat globules in ruminant milk to some extent affects the nutritional quality of dairy products and plays potential roles in infant and adult health. Lipid droplets (LD) in mammary epitheli Show more
The size of fat globules in ruminant milk to some extent affects the nutritional quality of dairy products and plays potential roles in infant and adult health. Lipid droplets (LD) in mammary epithelial cells are the precursors of milk fat globules (MFG). However, it is unclear what happens to proteins during the transformation process from LD to MFG, and little is known about the regulation of LD diameter in vivo. In this study, 12 mid-lactation Saanen dairy goats were randomly divided into 2 groups: a control group fed a basal diet and an experimental group fed a basal diet supplemented with CLA at 90 g/d. Goat milk was collected for analysis of composition and MFG size. Mammary gland tissue was collected for analysis of LD diameter and proteins. The size of MFG was found to depend on LD diameter in the mammary glands of dairy goats. The regression equations for MFG size (Y) and LD diameter (x) were Y Show less
no PDF DOI: 10.3168/jds.2025-26586
LPL
Bao Wang, Delong Zhen, Jin Wei +4 more Β· 2025 Β· European journal of pharmacology Β· Elsevier Β· added 2026-04-24
Quinolinic acid (QA) is a metabolite of tryptophan catabolism involved in the biosynthesis of nicotinamide adenine dinucleotide (NAD). It has been extensively studied in the context of neuropsychiatri Show more
Quinolinic acid (QA) is a metabolite of tryptophan catabolism involved in the biosynthesis of nicotinamide adenine dinucleotide (NAD). It has been extensively studied in the context of neuropsychiatric disorders in the past decades. Recent studies have also linked high plasma QA levels to obesity, metabolic dysfunction-associated steatotic liver disease (MASLD) and diabetes. In the present study, we have explored the impact of long-term oral QA administration on glucose and lipid metabolism in mice. We observed a protective role for QA in preventing hepatic lipid accumulation in high-fat-diet fed mice, whereas oral administration of NAD showed opposite effects. We further demonstrated that QA reduces hepatic lipid uptake by inhibiting the expression of lipoprotein lipase (LPL) and fatty acid translocase (CD36) in liver, thereby mitigating liver lipid accumulation in the context of a high-fat diet. Our data suggest that QA is an important regulator of lipid homeostasis and has potential as a therapeutic target for MASLD. Show less
no PDF DOI: 10.1016/j.ejphar.2025.178065
LPL
Shuai Wang, Anne-Sophie Dubarry, ValΓ©rie Chanoine +6 more Β· 2025 Β· Imaging neuroscience (Cambridge, Mass.) Β· added 2026-04-24
Reading relies on the ability to map written symbols with speech sounds. A specific part of the left ventral occipitotemporal cortex, known as the Visual Word Form Area (VWFA), plays a crucial role in Show more
Reading relies on the ability to map written symbols with speech sounds. A specific part of the left ventral occipitotemporal cortex, known as the Visual Word Form Area (VWFA), plays a crucial role in this process. Through the automatization of the mapping ability, this area progressively becomes specialized in written word recognition. Yet, despite its key role in reading, the area also responds to speech. This observation raises questions about the actual nature of neural representations encoded in the VWFA and, therefore, the underlying mechanism of the cross-modal responses. Here, we addressed this issue by applying fine-grained analyses of within- and cross-modal repetition suppression effects (RSEs) and Multi-Voxel Pattern Analyses in fMRI and sEEG experiments. Convergent evidence across analysis methods and protocols showed significant RSEs and successful decoding in both within-modal visual and auditory conditions, suggesting that populations of neurons within the VWFA distinctively encode written and spoken language. This functional organization of neural populations enables the area to respond to both written and spoken inputs. The finding opens further discussions on how the human brain may be prepared and adapted for an acquisition of a complex ability such as reading. Show less
πŸ“„ PDF DOI: 10.1162/imag_a_00524
LPL
Jinhui Cai, Shen Wang, Yanmin Feng +4 more Β· 2025 Β· Hepatology forum Β· added 2026-04-24
The transcription factor MafF is a novel regulator of adipogenesis, but its role in hepatic steatosis remains unclear. This study aimed to explore the impact of MafF on hepatocyte steatosis and its un Show more
The transcription factor MafF is a novel regulator of adipogenesis, but its role in hepatic steatosis remains unclear. This study aimed to explore the impact of MafF on hepatocyte steatosis and its underlying mechanisms. A stable MafF-overexpressing cell line was established using lentiviral infection. RT-qPCR and Western blot analysis confirmed MafF expression. Free fatty acid (FFA) or ethanol (ETOH) induction was used to simulate hepatocyte steatosis in non-alcoholic or alcoholic fatty liver disease (NAFLD or AFLD). Cell activity and lipid accumulation were assessed through the CCK-8 assay, Calcein-AM/PI staining, and Oil Red O staining. The changes in lipid metabolism-related gene expression before and after FFA or ETOH treatment were detected using RT-qPCR. FFA or ETOH induced lipid accumulation in hepatocytes, and overexpression of MafF significantly ameliorated ETOH-induced hepatocyte steatosis but had little effect on FFA-induced hepatocyte steatosis. MafF overexpression significantly reduced the expression of peroxisome proliferator-activated receptor gamma (PPARG), acetyl-CoA carboxylase (ACC), and lipoprotein lipase (LPL) in hepatocytes. Upon FFA induction, control (NC) cells exhibited downregulation of these genes, whereas MafF-overexpressing cells upregulated LPL expression. In contrast, under ETOH treatment, NC cells upregulated these genes, while MafF-overexpressing cells showed downregulation. This study highlighted the regulation of lipid-related genes by MafF, including PPARG, ACC, and LPL, and its effect on FFA- and ETOH-induced hepatocellular lipid accumulation in distinct ways. MafF showed a more pronounced improvement in ETOH-induced hepatocyte steatosis, providing crucial insights into MafF's role in hepatic lipid metabolism and potential therapeutic strategies for NAFLD and AFLD. Show less
πŸ“„ PDF DOI: 10.14744/hf.2024.2024.0030
LPL
Chen Li, Nicolas De Jay, Shan-Shan Zhang +11 more Β· 2025 Β· Advanced genetics (Hoboken, N.J.) Β· Wiley Β· added 2026-04-24
Integration of human genomics and other omics across different ancestries provides novel, affordable, and systematic approach for target identification. We used Mendelian randomization approaches to u Show more
Integration of human genomics and other omics across different ancestries provides novel, affordable, and systematic approach for target identification. We used Mendelian randomization approaches to unravel causal associations between 2,940 circulating proteins and 19 CVD. We found 218 proteins that impacted risk of one or more CVDs through forward MR (106 and 182 using cis-pQTLs only and cis- + trans-pQTLs, respectively), among which 107 were previously reported as associated with CVD or CVD-related traits. There were 102 proteins replicated (FDR < 5%, 53 with cis-pQTLs only and 88 with cis- + trans-pQTLs) using the FinnGen Olink data. BTN3A2 was highlighted as a novel candidate gene for ischemic stroke, suggesting a crosstalk between immune modulation and stroke pathogenesis. Single cell integration prioritized PAM for stable angina pectoris and ventricular arrhythmia and LPL for peripheral artery disease, whose transcriptional expressions were enriched in cardiomyocytes. Forward and reverse MR found largely non-overlapping proteins (only 2 overlapped: LGALS4 and MMP12), suggesting distinct proteomic causes and consequences of CVD. Our study provides human genetics-based evidence of novel candidate genes, a foundational step towards full-scale causal human biology-based drug discovery for CVD. Show less
πŸ“„ PDF DOI: 10.1002/ggn2.202500003
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Yingwei Wang, Le Wang, Yan Zhang +5 more Β· 2025 Β· Frontiers in medicine Β· Frontiers Β· added 2026-04-24
Chemokines and neutrophil extracellular trap formation (NETosis) are critical drivers of inflammatory responses. However, the molecular characteristics and interaction mechanisms of these processes in Show more
Chemokines and neutrophil extracellular trap formation (NETosis) are critical drivers of inflammatory responses. However, the molecular characteristics and interaction mechanisms of these processes in sarcopenia remain incompletely understood. Utilizing the mRNA expression profile dataset GSE226151 (including 19 sarcopenia, 19 pre-sarcopenia, and 20 healthy control samples), enrichment analysis was performed to identify differentially expressed NETosis-related genes (DENRGs) and chemokine-related genes (DECRGs). Two machine learning algorithms and univariate analysis were integrated to screen signature genes, which were subsequently used to construct diagnostic nomogram models for sarcopenia. Single-gene Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were used to investigate pathway associations, followed by the construction of a gene interaction network. A total of 7 DECRGs and DENRGs were identified, primarily enriched in chemokine signaling pathways, cytokine-cytokine receptor interactions, and sarcopenia-related diseases. Machine learning and univariate analysis revealed three signature genes (CXCR1, CXCR2, and LPL). The nomogram models demonstrated high predictive accuracy in distinguishing sarcopenia from both healthy and pre-sarcopenic states, as evidenced by AUC values of 0.837 (95% CI 0.703-0.947) and 0.903 (95% CI 0.789-0.989), respectively. Single-gene GSEA highlighted significant associations between these genes and the JAK-STAT and PPAR signaling pathways. GSVA indicated that sarcopenia was closely linked to upregulated chemokine signaling, cytokine-receptor interaction activities, and leukocyte transendothelial migration. The research pinpointed three genes associated with chemokines and NETosis (CXCR1, CXCR2, LPL) and developed highly accurate diagnostic models, offering a new and preliminary approach to differentiate sarcopenia and its early stages. Show less
πŸ“„ PDF DOI: 10.3389/fmed.2025.1606430
LPL
Zhihui Wang, Hao Zhou, Lie Zhang +2 more Β· 2025 Β· Scientific reports Β· Nature Β· added 2026-04-24
Mitochondrial oxidative stress plays a critical role in cancer development and progression. However, there is limited research on the relationship between mitochondrial oxidative stress and liver hepa Show more
Mitochondrial oxidative stress plays a critical role in cancer development and progression. However, there is limited research on the relationship between mitochondrial oxidative stress and liver hepatocellular carcinoma (LIHC). Mitochondrial oxidative stress-related genes were collected from Genecards Portal. Prognosis-linked genes (PLGs) were identified by univariate Cox regression analysis. A risk model was constructed based on the PLGs using least absolute shrinkage and selection operator (LASSO) analysis. Receiver operating characteristic (ROC) curves were used to determine the predictive ability of the model. The expression levels of the prognostic genes were verified in the cell lines. Cell proliferation, apoptosis, and invasion assays were conducted to investigate the functional role of the target gene. We constructed a novel risk model based on 9 prognostic genes (CYP2C19, CASQ2, LPL, TXNRD1, CACNA1S, SLC6A3, OXTR, BIRC5, and MMP1). Survival analysis showed that patients with a low-risk score had a much better overall survival (OS). Prognostic risk score was found to be an independent predictor of prognosis. Patients in the high-risk group had a less favorable tumor microenvironment characterized by a lower degree of immune cell infiltration. Among the nine prognostic genes, MMP1, identified as the most promising candidate, demonstrated the capacity to enhance tumor cell proliferation and invasion. Our investigation reveals the oncogenic role of mitochondrial oxidative stress in LIHC. For the first time, we established a risk prediction model for mitochondrial oxidative stress in patients with LIHC. MMP1 has the potential to function as a promising biomarker in LIHC. Show less
πŸ“„ PDF DOI: 10.1038/s41598-025-10076-0
LPL
Chongyang Cai, Leipeng Li, Xiaohuan Lv +12 more Β· 2025 Β· Nature communications Β· Nature Β· added 2026-04-24
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. Ho Show more
Lanthanides-doped luminescent materials have gathered considerable attention due to their application potential in stress sensing, lighting and display, anti-counterfeiting technology and so forth. However, existing materials mainly cover the 380-1540 nm range, with slight extension to the UV region, impeding their applications in solar-blind imaging, background-free tracking, concealed communication, etc. To address this challenge, here we propose guidelines for far-UVC (200-230 nm) optical design. Accordingly, we achieve multi-stimulated far-UVC luminescence at ~222 nm in Pr Show less
πŸ“„ PDF DOI: 10.1038/s41467-025-61522-6
LPL
Chengyu Wang, Hongyu Zhao, Yujie Zhou +10 more Β· 2025 Β· Frontiers in plant science Β· Frontiers Β· added 2026-04-24
The color of rice leaves are important agronomic traits that directly influence the proportion of sunlight energy utilization and ultimately affect the yield and quality, so it is crucial to excavate Show more
The color of rice leaves are important agronomic traits that directly influence the proportion of sunlight energy utilization and ultimately affect the yield and quality, so it is crucial to excavate the mechanism of regulating rice leave color. To investigate the molecular mechanism that triggers the purple color in rice leaf, phenotypic characterization and genome-wide transcriptome analysis were conducted using the japonica rice cultivar nipponbare (Nip) and its two purple leaf mutants, A total of 2247, 5484, 4525, 2103, 4375 and7029DEGs (differentially expressed genes) were identified in nip-a vs These results not only revealed the molecular mechanism triggering leaf purple color in the rice mutants Show less
πŸ“„ PDF DOI: 10.3389/fpls.2025.1584423
LPL
Hongmei Song, Yixin Liang, Yexin Yang +4 more Β· 2025 Β· Animals : an open access journal from MDPI Β· MDPI Β· added 2026-04-24
This study was conducted to investigate the effects of replacing fish meal with either whole-fat or defatted krill powder on the growth, body color, immunity, and related gene expression of red-white Show more
This study was conducted to investigate the effects of replacing fish meal with either whole-fat or defatted krill powder on the growth, body color, immunity, and related gene expression of red-white koi carp. A total of 630 red-white koi carp with an initial body mass of 13.5 Β± 0.05 g were randomly divided into seven groups with three replicates per group and 30 fish per replicate. The control group was fed a basic diet (C0). The other six diets were supplemented with different levels of whole krill meal or defatted krill meal as replacements (10% whole fat, 20% whole fat, 30% whole fat, 10% defatted, 20% defatted, and 30% defatted) in the experimental groups, named W10, W20, W30, D10, D20, and D30, respectively, for a total duration of 60 days. The growth, body color, immunity and gene expression indexes were measured in the koi after completion. The results indicate the following. (1) Compared with C0, the experimental groups of koi showed a significant increase in the specific growth rate (SGR) ( Show less
πŸ“„ PDF DOI: 10.3390/ani15111561
LPL
Jiajun Li, Deqi Wang, Sihan Song +4 more Β· 2025 Β· Functional & integrative genomics Β· Springer Β· added 2026-04-24
Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), are persistent environmental contaminants linked to adverse health effects, Show more
Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), are persistent environmental contaminants linked to adverse health effects, including an increased risk of breast cancer. However, the molecular mechanisms through which PFAS contribute to breast cancer development remain poorly understood. In this study, we employed an integrated approach combining network toxicology, single-cell sequencing, spatial transcriptomics, and molecular simulation to investigate the effects of PFAS on breast cancer. By constructing a protein-protein interaction (PPI) network, we identified six core genes (PPARG, CD36, FABP4, PPARGC1A, LPL, and PCK1) that play a significant role in the development of breast cancer. These genes are involved in key cellular processes such as lipid metabolism, oxidative phosphorylation, and immune regulation, all of which are disrupted by PFAS exposure. Single-cell and spatial transcriptomic analyses revealed that these genes are predominantly expressed in endothelial, myeloid, and cancer-associated fibroblasts within the tumor microenvironment. Molecular simulation further confirmed strong binding energies between PFAS and these target proteins, suggesting direct interactions. Our findings provide novel insights into how PFAS may promote breast cancer progression at the molecular level and highlight the need for further research on environmental pollutants in cancer risk assessment and public health initiatives. Show less
πŸ“„ PDF DOI: 10.1007/s10142-025-01616-y
LPL
Ruihao Yu, Shuo Wei, Felix Kwame Amevor +7 more Β· 2025 Β· Poultry science Β· Elsevier Β· added 2026-04-24
Follicular development is tightly regulated by the coordinated action of multiple hormones and complex gene regulatory networks in granulosa cells, which play a crucial role in egg production and fert Show more
Follicular development is tightly regulated by the coordinated action of multiple hormones and complex gene regulatory networks in granulosa cells, which play a crucial role in egg production and fertility in hens. Extensive studies have established that Niemann-Pick C2 (NPC2) is a key regulator of cholesterol metabolism and steroid hormone secretion in mammals. However, its specific role in chicken ovarian granulosa cells remains unclear. In this study, cultured chicken ovarian granulosa cells were used to investigate the function of NPC2 through transfection with NPC2 overexpression vectors or small interfering RNAs (siRNAs). The results showed that silencing NPC2 significantly increased the expression of SREBP1, SREBP2, LPL, SCD1, CPT1 and DGAT2 genes involved in lipid synthesis (P < 0.01), and also increased the synthesis of Triglyceride (TG) and Cholesterol (TC) in granulosa cells (P < 0.05), whereas NPC2 overexpression led to a marked reduction in the expression of these indicators of lipid metabolism (P < 0.01). Furthermore, NPC2 knockdown significantly inhibited the production of progesterone (P Show less
πŸ“„ PDF DOI: 10.1016/j.psj.2025.105340
LPL
Qian Wang, Dandan Wang, Yan Gao +12 more Β· 2025 Β· Journal of neuroinflammation Β· BioMed Central Β· added 2026-04-24
Membrane lipids play a crucial role in brain function and cell signalling, and they serve as key biological substrates in inflammatory responses, thrombosis, and energy metabolism. Multiple clinical a Show more
Membrane lipids play a crucial role in brain function and cell signalling, and they serve as key biological substrates in inflammatory responses, thrombosis, and energy metabolism. Multiple clinical and molecular evidences suggest that membrane lipids are probably involved in the pathogenesis of ischemic stroke (IS). However, current knowledge about the membrane lipid landscape and its involvement in IS pathophysiology is limited. We performed untargeted lipidomic analysis on erythrocyte membranes from 56 IS patients and 55 healthy controls. Integrated with gene expression and weighted gene co-expression network analysis, we identified dysregulated lipid signalling pathways and their contributions to IS pathophysiology. A total of 1392 erythrocyte membrane lipids were detected and quantified. Our results revealed significant impairment of membrane lipid homeostasis in IS patients, characterized by a marked reduction in glycerophospholipids (GPLs) and lysophospholipids (LPLs). Further analysis indicated that the impaired lipids were primarily concentrated in three disturbed signalling pathways, including the phospholipase A2-mediated GPL-LPL pathway, the phospholipase C-mediated inositol 1,4,5-trisphosphate/diglyceride pathway, and the sphingosine-1-phosphate (S1P)-S1P receptors pathway. Gene expression results indicated that these pathways were inhibited during the subacute phase of IS. Furthermore, these lipid signalling pathways form a highly interconnected network that collaboratively contributes to inflammation and thrombosis in IS, thereby influencing the progression and prognosis of the disease. Our findings reveal impaired erythrocyte membrane lipid homeostasis in IS, which implicates inflammatory processes and thrombosis in IS. This research offers new insights into the role of membrane lipids in IS pathogenesis, potentially informing future monitoring and therapeutic strategies. Show less
πŸ“„ PDF DOI: 10.1186/s12974-025-03464-w
LPL
Siwei Wang, Tingting Liu, Peng Peng +6 more Β· 2025 Β· Animals : an open access journal from MDPI Β· MDPI Β· added 2026-04-24
Intramuscular fat (IMF) content in beef cattle is a critical determinant of beef meat quality, as it positively influences juiciness, tenderness, and palatability. In China, the crossbreeding of Wagyu Show more
Intramuscular fat (IMF) content in beef cattle is a critical determinant of beef meat quality, as it positively influences juiciness, tenderness, and palatability. In China, the crossbreeding of Wagyu and Angus is a prevalent method for achieving a better marbling level. However, the molecular mechanisms governing IMF regulation in these crossbreeds remain poorly understood. To elucidate the mechanism of IMF deposition in these crossbred cattle, we conducted a comparative transcriptomic analysis of Show less
πŸ“„ PDF DOI: 10.3390/ani15091306
LPL
Li Zhou, Zhuo-Ma Luoreng, Xing-Ping Wang +2 more Β· 2025 Β· Research in veterinary science Β· Elsevier Β· added 2026-04-24
MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs that are widely found in organisms and play an important regulatory role in various biological processes, especially immune and infla Show more
MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs that are widely found in organisms and play an important regulatory role in various biological processes, especially immune and inflammatory responses. However, the function of miR-320b in the inflammatory responses of bovine mammary epithelial cells (bMECs) remains to be elucidated. In this study, we examined the miR-320b mimic transduction group (miR-320b_mimic) and negative control mimic transduction group (NC_mimic) of lipopolysaccharide-treated bMECs using data-independent acquisition (DIA) proteomics and untargeted metabolomics. Subsequently, we performed a joint analysis of the sequencing data. Proteomic analysis identified 330 differentially abundant proteins (DAPs) primarily related to PPAR, ferroptosis, arachidonic acid metabolism, IL-17, and complement and coagulation cascades. Metabolome analysis identified 128 and 66 differentially accumulated metabolites (DAMs) in the positive and negative ion mode primarily involved in linoleic acid metabolism, cholesterol metabolism, AMPK, MAPK, and chemokine. Integrated metabolomics and proteomics analysis revealed the co-enrichment of DAPs and DAMs in choline metabolism in cancer, endocrine resistance, glycerophospholipid metabolism, primary bile acid biosynthesis, and the ferroptosis signaling pathways. The results of quantitative real-time PCR (RT-qPCR) showed that compared with the NC_mimic group, mRNA expression levels of COX-2, IL-12Β A, iNOS, MAPK1, and MAPK14 genes were significantly down-regulated, and the mRNA expression levels of PPARΞ³, CEBPΞ±, CEBPΞ², FABP4, and LPL genes were significantly up-regulated in the miR-320b_mimic group. These results provide crucial insights into the molecular regulatory functions of miR-320b and offer valuable data for further research on molecular breeding aimed at enhancing mastitis resistance in bovine animals. Show less
no PDF DOI: 10.1016/j.rvsc.2025.105682
LPL
Zhuan Gao, Yue Li, Yu-Jie Yang +4 more Β· 2025 Β· Surgical and radiologic anatomy : SRA Β· Springer Β· added 2026-04-24
To clarify the anatomical characteristics of the lateral plantar ligament (LPL) of the transverse metatarsal arch (TMA) in the population of southwest Shandong Province, so as to complement the anatom Show more
To clarify the anatomical characteristics of the lateral plantar ligament (LPL) of the transverse metatarsal arch (TMA) in the population of southwest Shandong Province, so as to complement the anatomical structures of the midfoot and Lisfranc joint complexes. A total of 100 adult lower limbs were dissected and the types of LPL were divided according to their insertions, among them, 63 were (63%) and 37 were female (37%); 50 were on the left side (50%) and 50 were on the right side (50%). The fiber bundle length, origin width, insertion width, and thickness of the LPL were measured. (1) According to the insertions of the LPL, they were divided into: β‘  Type I, the LPL was inserted at the base of the second metatarsal (M2) in 47 cases; β‘‘ Type II, the LPL was inserted at the base of M2 and fused with tibialis posterior tendon (TPT) in 16 cases; β‘’ Type III, the LPL was absent in 16 cases; β‘£ Type IV, the LPL was inserted at TPT in 6 cases; β‘€ Type V, the LPL was inserted at the intermediate cuneiform (IC) in 1 case; β‘₯ Type VI, bifid LPL with one bundle inserted at the base of M2, and the other bundle inserted at the medial cuneiform (MC) in 4 cases; ⑦ Type VII, two bundles of LPL inserted at the base of M2 in 8 cases; β‘§ Type VIII, the LPL consisted of 3 bundles; the distal, middle and proximal bundles was inserted at the base of M2, the TPT and the lateral side of navicular bone in 2 cases, respectively. (2) There was a statistical significance in the length of LPL between male (31.62 ± 3.83) mm and female (28.07 ± 3.46) mm (t=-3.050, P = 0.003). There was no statistical significance in the types of LPL between male and female (Z=-1.721, P > 0.05), and no statistical significance in the types between left and right sides (Z=-0.026, P > 0.05). According to our research, LPL originates from M5 and is divided into 8 types according to its insertion location, of which insertion at the base of M2 is the most common. In addition, we found that LPL has fibrous fusion with the long plantar ligament and the TPT, which may be involved in maintaining arch stability. The classification of LPL in this study is a supplement to the anatomical structure of the middle foot and Lisfranc joint complex, providing a new direction for the diagnosis and treatment of middle foot and arch injury in the future. Show less
πŸ“„ PDF DOI: 10.1007/s00276-025-03651-7
LPL