👤 Wei Yang

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Also published as: A Yang, A-Li Yang, Acong Yang, Ai-Lun Yang, Aige Yang, Airong Yang, Aiting Yang, Aizhen Yang, Albert C Yang, Alex J T Yang, An-Qi Yang, Andrew Yang, Angang Yang, Angela Wei Hong Yang, Anni Yang, Aram Yang, B Yang, Baigao Yang, Baixia Yang, Bangjia Yang, Bao Yang, Baofeng Yang, Baoli Yang, Baoxin Yang, Baoxue Yang, Bei Yang, Beibei Yang, Biao Yang, Bin Q Yang, Bin Yang, Bing Xiang Yang, Bing Yang, Bingyu Yang, Bo Yang, Bohui Yang, Boo-Keun Yang, Bowen Yang, Boya Yang, Burton B Yang, Byoung Chul Yang, Caimei Yang, Caixia Yang, Caixian Yang, Caixin Yang, Can Yang, Canchai Yang, Ce Yang, Celi Yang, Chan Mo Yang, Chan-Mo Yang, Chang Yang, Chang-Hao Yang, Changheng Yang, Changqing Yang, Changsheng Yang, Changwei Yang, Changyun Yang, Chanjuan Yang, Chao Yang, Chao-Yuh Yang, Chaobo Yang, Chaofei Yang, Chaogang Yang, Chaojie Yang, Chaolong Yang, Chaoping Yang, Chaoqin Yang, Chaoqun Yang, Chaowu Yang, Chaoyun Yang, Chaozhe Yang, Chen Die Yang, Chen Yang, Cheng Yang, Cheng-Gang Yang, Chengfang Yang, Chenghao Yang, Chengkai Yang, Chengkun Yang, Chengran Yang, Chenguang Yang, Chengyingjie Yang, Chengzhang Yang, Chensi Yang, Chensu Yang, Chenxi Yang, Chenyu Yang, Chenzi Yang, Chi Yang, Chia-Wei Yang, Chieh-Hsin Yang, Chien-Wen Yang, Chih-Hao Yang, Chih-Min Yang, Chih-Yu Yang, Chihyu Yang, Ching-Fen Yang, Ching-Wen Yang, Chongmeng Yang, Chuan He Yang, Chuan Yang, Chuanbin Yang, Chuang Yang, Chuanli Yang, Chuhu Yang, Chun Yang, Chun-Chun Yang, Chun-Mao Yang, Chun-Seok Yang, Chunbaixue Yang, Chung-Hsiang Yang, Chung-Shi Yang, Chung-Yi Yang, Chunhua Yang, Chunhui Yang, Chunjie Yang, Chunjun Yang, Chunlei Yang, Chunli Yang, Chunmao Yang, Chunping Yang, Chunqing Yang, Chunru Yang, Chunxiao Yang, Chunyan Yang, Chunyu Yang, Congyi Yang, Cui Yang, Cuiwei Yang, Cunming Yang, Dai-Qin Yang, Dan Yang, Dan-Dan Yang, Dan-Hui Yang, Dandan Yang, Danlu Yang, Danrong Yang, Danzhou Yang, Dapeng Yang, De-Hua Yang, De-Zhai Yang, Decao Yang, Defu Yang, Deguang Yang, Dehao Yang, Dehua Yang, Dejun Yang, Deli Yang, Dengfa Yang, Deok Chun Yang, Deshuang Yang, Di Yang, Dianqiang Yang, Ding Yang, Ding-I Yang, Diya Yang, Diyuan Yang, Dong Yang, Dong-Hua Yang, Dongfeng Yang, Dongjie Yang, Dongliang Yang, Dongmei Yang, Dongren Yang, Dongshan Yang, Dongwei Yang, Dongwen Yang, DuJiang Yang, Eddy S Yang, Edwin Yang, Ei-Wen Yang, Emily Yang, Enlu Yang, Enzhi Yang, Eric Yang, Eryan Yang, Ethan Yang, Eunho Yang, Fajun Yang, Fan Yang, Fang Yang, Fang-Ji Yang, Fang-Kun Yang, Fei Yang, Feilong Yang, Feiran Yang, Feixiang Yang, Fen Yang, Feng Yang, Feng-Ming Yang, Feng-Yun Yang, Fengjie Yang, Fengjiu Yang, Fengjuan Yang, Fenglian Yang, Fengling Yang, Fengping Yang, Fengying Yang, Fengyong Yang, Fu Yang, Fude Yang, Fuhe Yang, Fuhuang Yang, Fumin Yang, Fuquan Yang, Furong Yang, Fuxia Yang, Fuyao Yang, G Y Yang, G Yang, Gan Yang, Gang Yang, Gangyi Yang, Gao Yang, Gaohong Yang, Gaoxiang Yang, Ge Yang, Gong Yang, Gong-Li Yang, Grace H Y Yang, Guan Yang, Guang Yang, Guangdong Yang, Guangli Yang, Guangwei Yang, Guangyan Yang, Guanlin Yang, Gui-Zhi Yang, Guigang Yang, Guitao Yang, Guo Yang, Guo-Can Yang, Guobin Yang, Guofen Yang, Guojun Yang, Guokun Yang, Guoli Yang, Guomei Yang, Guoping Yang, Guoqi Yang, Guosheng Yang, Guotao Yang, Guowang Yang, Guowei Yang, H X Yang, H Yang, Hai Yang, Hai-Chun Yang, Haibo Yang, Haihong Yang, Haikun Yang, Hailei Yang, Hailing Yang, Haiming Yang, Haiping Yang, Haiqiang Yang, Haitao Yang, Haixia Yang, Haiyan Yang, Haiying Yang, Han Yang, Hanchen Yang, Handong Yang, Hang Yang, Hannah Yang, Hanseul Yang, Hanteng Yang, Hao Yang, Hao-Jan Yang, HaoXiang Yang, Haojie Yang, Haolan Yang, Haoqing Yang, Haoran Yang, Haoyu Yang, Harrison Hao Yang, Hee Joo Yang, Heng Yang, Hengwen Yang, Henry Yang, Heqi Yang, Heyi Yang, Heyun Yang, Hoe-Saeng Yang, Hong Yang, Hong-Fa Yang, Hong-Li Yang, HongMei Yang, Hongbing Yang, Hongbo Yang, Hongfa Yang, Honghong Yang, Hongjie Yang, Hongjun Yang, Hongli Yang, Hongling Yang, Hongqun Yang, Hongxia Yang, Hongxin Yang, Hongyan Yang, Hongyu Yang, Hongyuan Yang, Hongyue Yang, Howard H Yang, Howard Yang, Hsin-Chou Yang, Hsin-Jung Yang, Hsin-Sheng Yang, Hua Yang, Hua-Yuan Yang, Huabing Yang, Huafang Yang, Huaijie Yang, Huan Yang, Huanhuan Yang, Huanjie Yang, Huanming Yang, Huansheng Yang, Huanyi Yang, Huarong Yang, Huaxiao Yang, Huazhao Yang, Hui Yang, Hui-Ju Yang, Hui-Li Yang, Hui-Ting Yang, Hui-Yu Yang, Hui-Yun Yang, Huifang Yang, Huihui Yang, Huijia Yang, Huijie Yang, Huiping Yang, Huiran Yang, Huixia Yang, Huiyu Yang, Hung-Chih Yang, Hwai-I Yang, Hye Jeong Yang, Hyerim Yang, Hyun Suk Yang, Hyun-Sik Yang, Ill Yang, Ivana V Yang, J S Yang, J Yang, James Y Yang, Jaw-Ji Yang, Jee Sun Yang, Jenny J Yang, Jerry Yang, Ji Hye Yang, Ji Yang, Ji Yeong Yang, Ji-chun Yang, Jia Yang, Jia-Ling Yang, Jia-Ying Yang, Jiahong Yang, Jiahui Yang, Jiajia Yang, Jiakai Yang, Jiali Yang, Jialiang Yang, Jian Yang, Jian-Bo Yang, Jian-Jun Yang, Jian-Ming Yang, Jian-Ye Yang, JianHua Yang, JianJun Yang, Jianbo Yang, Jiang-Min Yang, Jiang-Yan Yang, Jianing Yang, Jianke Yang, Jianli Yang, Jianlou Yang, Jianmin Yang, Jianming Yang, Jianqi Yang, Jianwei Yang, Jianyu Yang, Jiao Yang, Jiarui Yang, Jiawei Yang, Jiaxin Yang, Jiayan Yang, Jiayi Yang, Jiaying Yang, Jiayue Yang, Jichun Yang, Jie Yang, Jie-Cheng Yang, Jie-Hong Yang, Jie-Kai Yang, Jiefeng Yang, Jiehong Yang, Jieping Yang, Jiexiang Yang, Jihong Yang, Jimin Yang, Jin Yang, Jin-Jian Yang, Jin-Kui Yang, Jin-gang Yang, Jin-ju Yang, Jinan Yang, Jinfeng Yang, Jing Yang, Jing-Quan Yang, Jing-Yu Yang, Jingang Yang, Jingfeng Yang, Jinggang Yang, Jinghua Yang, Jinghui Yang, Jingjing Yang, Jingmin Yang, Jingping Yang, Jingran Yang, Jingshi Yang, Jingwen Yang, Jingya Yang, Jingyan Yang, Jingyao Yang, Jingye Yang, Jingyu Yang, Jingyun Yang, Jingze Yang, Jinhua Yang, Jinhui Yang, Jinjian Yang, Jinpeng Yang, Jinru Yang, Jinshan Yang, Jinsong Yang, Jinsung Yang, Jinwen Yang, Jinzhao Yang, Jiong Yang, Ju Dong Yang, Ju Young Yang, Juan Yang, Juesheng Yang, Jumei Yang, Jun J Yang, Jun Yang, Jun-Hua Yang, Jun-Xia Yang, Jun-Xing Yang, Junbo Yang, Jung Dug Yang, Jung Wook Yang, Jung-Ho Yang, Junhan Yang, Junjie Yang, Junlin Yang, Junlu Yang, Junping Yang, Juntao Yang, Junyao Yang, Junyi Yang, Kai Yang, Kai-Chien Yang, Kai-Chun Yang, Kaidi Yang, Kaifeng Yang, Kaijie Yang, Kaili Yang, Kailin Yang, Kaiwen Yang, Kang Yang, Kang Yi Yang, Kangning Yang, Karen Yang, Ke Yang, Keming Yang, Keping Yang, Kexin Yang, Kuang-Yao Yang, Kui Yang, Kun Yang, Kunao Yang, Kunqi Yang, Kunyu Yang, Kuo Tai Yang, L Yang, Lamei Yang, Lan Yang, Le Yang, Lei Yang, Lexin Yang, Leyi Yang, Li Chun Yang, Li Yang, Li-Kun Yang, Li-Qin Yang, Li-li Yang, LiMan Yang, Lian-he Yang, Liang Yang, Liang-Yo Yang, Liangbin Yang, Liangle Yang, Liangliang Yang, Lichao Yang, Lichuan Yang, Licong Yang, Liehao Yang, Lihong Yang, Lihua Yang, Lihuizi Yang, Lijia Yang, Lijie Yang, Lijuan Yang, Lijun Yang, Lili Yang, Lin Sheng Yang, Lin Yang, Lina Yang, Ling Ling Yang, Ling Yang, Lingfeng Yang, Lingling Yang, Lingzhi Yang, Linlin Yang, Linnan Yang, Linqing Yang, Linquan Yang, Lipeng Yang, Liping Yang, Liting Yang, Liu Yang, Liu-Kun Yang, LiuMing Yang, Liuliu Yang, Liwei Yang, Lixian Yang, Lixue Yang, Long In Yang, Long Yang, Long-Yan Yang, Longbao Yang, Longjun Yang, Longyan Yang, Lu M Yang, Lu Yang, Lu-Hui Yang, Lu-Kun Yang, Lu-Qin Yang, Luda Yang, Man Yang, Manqing Yang, Maojie Yang, Maoquan Yang, Mei Yang, Meichan Yang, Meihua Yang, Meili Yang, Meiting Yang, Meixiang Yang, Meiying Yang, Meng Yang, Menghan Yang, Menghua Yang, Mengjie Yang, Mengli Yang, Mengliu Yang, Mengmeng Yang, Mengsu Yang, Mengwei Yang, Mengying Yang, Miaomiao Yang, Mickey Yang, Min Hee Yang, Min Yang, Mina Yang, Ming Yang, Ming-Hui Yang, Ming-Yan Yang, Minghui Yang, Mingjia Yang, Mingjie Yang, Mingjun Yang, Mingli Yang, Mingqian Yang, Mingshi Yang, Mingyan Yang, Mingyu Yang, Minyi Yang, Misun Yang, Mu Yang, Muh-Hwa Yang, Na Yang, Nan Yang, Nana Yang, Nanfei Yang, Neil V Yang, Ni Yang, Ning Yang, Ningjie Yang, Ningli Yang, Pan Yang, Pan-Chyr Yang, Paul Yang, Peichang Yang, Peiran Yang, Peiyan Yang, Peiying Yang, Peiyuan Yang, Peizeng Yang, Peng Yang, Peng-Fei Yang, PengXiang Yang, Pengfei Yang, Penghui Yang, Pengwei Yang, Pengyu Yang, Phillip C Yang, Pin Yang, Ping Yang, Ping-Fen Yang, Pinghong Yang, Pu Yang, Q H Yang, Q Yang, Qi Yang, Qi-En Yang, Qian Yang, Qian-Jiao Yang, Qian-Li Yang, QianKun Yang, Qiang Yang, Qianhong Yang, Qianqian Yang, Qianru Yang, Qiaoli Yang, Qiaorong Yang, Qiaoyuan Yang, Qifan Yang, Qifeng Yang, Qiman Yang, Qimeng Yang, Qiming Yang, Qin Yang, Qinbo Yang, Qing Yang, Qing-Cheng Yang, Qingcheng Yang, Qinghu Yang, Qingkai Yang, Qinglin Yang, Qingling Yang, Qingmo Yang, Qingqing Yang, Qingtao Yang, Qingwu Yang, Qingya Yang, Qingyan Yang, Qingyi Yang, Qingyu Yang, Qingyuan Yang, Qiong Yang, Qiu Yang, Qiu-Yan Yang, Qiuhua Yang, Qiuhui Yang, Qiulan Yang, Qiuli Yang, Qiuxia Yang, Qiwei Yang, Qiwen Yang, Quan Yang, Quanjun Yang, Quanli Yang, Qun-Fang Yang, R Yang, Ran Yang, Ren-Zhi Yang, Renchi Yang, Renhua Yang, Renjun Yang, Renqiang Yang, Renzhi Yang, Ri-Yao Yang, Richard K Yang, Robert Yang, Rong Yang, Rongrong Yang, Rongxi Yang, Rongyuan Yang, Rongze Yang, Rui Xu Yang, Rui Yang, Rui-Xu Yang, Rui-Yi Yang, Ruicheng Yang, Ruifang Yang, Ruihua Yang, Ruilan Yang, Ruili Yang, Ruiqin Yang, Ruirui Yang, Ruiwei Yang, Rulai Yang, Ruming Yang, Run Yang, Runjun Yang, Runxu Yang, Runyu Yang, Runzhou Yang, Ruocong Yang, Ruoyun Yang, Ruyu Yang, S J Yang, Se-Ran Yang, Sen Yang, Senwen Yang, Seung Yun Yang, Seung-Jo Yang, Seung-Ok Yang, Shan Yang, Shangchen Yang, Shanghua Yang, Shangwen Yang, Shanzheng Yang, Shao-Hua Yang, Shaobin Yang, Shaohua Yang, Shaoling Yang, Shaoqi Yang, Shaoqing Yang, Sheng Sheng Yang, Sheng Yang, Sheng-Huei Yang, Sheng-Qian Yang, Sheng-Wu Yang, ShengHui Yang, Shenglin Yang, Shengnan Yang, Shengqian Yang, Shengyong Yang, Shengzhuang Yang, Shenhui Yang, Shi-Ming Yang, Shiaw-Der Yang, Shifeng Yang, Shigao Yang, Shijie Yang, Shiming Yang, Shipeng Yang, Shiping Yang, Shiu-Ju Yang, Shiyi Yang, Shizhong Yang, Shizhuo Yang, Shu Yang, ShuSheng Yang, Shuai Yang, Shuaibing Yang, Shuaini Yang, Shuang Yang, Shuangshuang Yang, Shucai Yang, Shufang Yang, Shuhua Yang, Shujuan Yang, Shujun Yang, Shulan Yang, Shulin Yang, Shuming Yang, Shun-Fa Yang, Shuo Yang, Shuofei Yang, Shuping Yang, Shuqi Yang, Shuquan Yang, Shurong Yang, Shushen Yang, Shuye Yang, Shuyu Yang, Si Yang, Si-Fu Yang, Sibao Yang, Sibo Yang, Sichong Yang, Sihui Yang, Sijia Yang, Siqi Yang, Sirui Yang, Sisi Yang, Sitao Yang, Siwen Yang, Siyi Yang, Siyu Yang, Sizhen Yang, Sizhu Yang, Song Yang, Song-na Yang, Songpeng Yang, Songye Yang, Soo Hyun Yang, Su Yang, Su-Geun Yang, Suhong Yang, Sujae Yang, Sujuan Yang, Suk-Kyun Yang, Sun Kyung Yang, Suwol Yang, Suxia Yang, Suyi Yang, Suyu Yang, Tai-Hui Yang, Tailai Yang, Tao Yang, Tengyun Yang, Thomas P Yang, Ti Yang, Tian Yang, Tianbao Yang, Tianfeng Yang, Tianjie Yang, Tianmin Yang, Tianpeng Yang, Tianqiong Yang, Tiantian Yang, Tianxin Yang, Tianyou Yang, Tianyu Yang, Tianze Yang, Tianzhong Yang, Ting Yang, Ting-Xian Yang, Tingting Yang, Tingyu Yang, Tong Yang, Tong Yi Yang, Tong-Xin Yang, Tonglin Yang, Tongren Yang, Tuanmin Yang, Ueng-Cheng Yang, W Yang, Wan-Chen Yang, Wan-Jung Yang, Wang Yang, Wannian Yang, Wei Qiang Yang, Wei-Fa Yang, Wei-Xin Yang, Weidong Yang, Weiguang Yang, Weihan Yang, Weijian Yang, Weili Yang, Weimin Yang, Weiran Yang, Weiwei Yang, Weixian Yang, Weizhong Yang, Wen Yang, Wen Z Yang, Wen-Bin Yang, Wen-Chin Yang, Wen-He Yang, Wen-Hsuan Yang, Wen-Ming Yang, Wen-Wen Yang, Wen-Xiao Yang, WenKai Yang, Wenbo Yang, Wenchao Yang, Wending Yang, Wenfei Yang, Wenhong Yang, Wenhua Yang, Wenhui Yang, Wenjian Yang, Wenjie Yang, Wenjing Yang, Wenjuan Yang, Wenjun Yang, Wenli Yang, Wenlin Yang, Wenming Yang, Wenqin Yang, Wenshan Yang, Wentao Yang, Wenwen Yang, Wenwu Yang, Wenxin Yang, Wenxing Yang, Wenying Yang, Wenzhi Yang, Wenzhu Yang, William Yang, Woong-Suk Yang, Wu Yang, Wu-de Yang, X Yang, X-J Yang, Xi Yang, Xi-You Yang, Xia Yang, Xian Yang, Xiang Yang, Xiang-Hong Yang, Xiang-Jun Yang, Xianggui Yang, Xianghong Yang, Xiangliang Yang, Xiangling Yang, Xiangqiong Yang, Xiangxiang Yang, Xiangyu Yang, Xiao Yang, Xiao-Dong Yang, Xiao-Fang Yang, Xiao-Hong Yang, Xiao-Jie Yang, Xiao-Juan Yang, Xiao-Meng Yang, Xiao-Ming Yang, Xiao-Qian Yang, Xiao-Yan Yang, Xiao-Ying Yang, Xiao-Yu Yang, Xiao-guang Yang, XiaoYan Yang, Xiaoao Yang, Xiaobin Yang, Xiaobo Yang, Xiaochen Yang, Xiaodan Yang, Xiaodi Yang, Xiaodong Yang, Xiaofei Yang, Xiaofeng Yang, Xiaohao Yang, Xiaohe Yang, Xiaohong R Yang, Xiaohong Yang, Xiaohuang Yang, Xiaohui Yang, Xiaojian Yang, Xiaojie Yang, Xiaojing Yang, Xiaojuan Yang, Xiaojun Yang, Xiaoli Yang, Xiaolu Yang, Xiaomeng Yang, Xiaoming Yang, Xiaonan Yang, Xiaoping Yang, Xiaoqian Yang, Xiaoqin Yang, Xiaoqun Yang, Xiaorong Yang, Xiaoshan Yang, Xiaoshi Yang, Xiaosong Yang, Xiaotian Yang, Xiaotong Yang, Xiaowei Yang, Xiaowen Yang, Xiaoxiao Yang, Xiaoxin Yang, Xiaoxu Yang, Xiaoyao Yang, Xiaoyi Yang, Xiaoyong Yang, Xiaoyu Yang, Xiaoyun Yang, Xiaozhen Yang, Xifei Yang, Xiling Yang, Ximan Yang, Xin Yang, Xin-He Yang, Xin-Yu Yang, Xin-Zhuang Yang, Xing Yang, Xinghai Yang, Xinglong Yang, Xingmao Yang, Xingming Yang, Xingsheng Yang, Xingyu Yang, Xingyue Yang, Xingzhi Yang, Xinjing Yang, Xinming Yang, Xinpu Yang, Xinwang Yang, Xinxin Yang, Xinyan Yang, Xinyi Yang, Xinyu Yang, Xinyue Yang, Xiong Ling Yang, Xiru Yang, Xitong Yang, Xiu Hong Yang, Xiuhua Yang, Xiulin Yang, Xiuna Yang, Xiuqin Yang, Xiurong Yang, Xiuwei Yang, Xiwen Yang, Xiyue Yang, Xu Yang, Xuan Yang, Xue Yang, Xue-Feng Yang, Xue-Ping Yang, Xuecheng Yang, Xuehan Yang, Xuejing Yang, Xuejun Yang, Xueli Yang, Xuena Yang, Xueping Yang, Xuesong Yang, Xuhan Yang, Xuhui Yang, Xuping Yang, Xuyang Yang, Y C Yang, Y F Yang, Y L Yang, Y P Yang, Y Q Yang, Y Yang, Y-T Yang, Ya Yang, Ya-Chen Yang, Yadong Yang, Yafang Yang, Yajie Yang, Yalan Yang, Yali Yang, Yaming Yang, Yan Yang, Yan-Bei Yang, Yan-Ling Yang, Yanan Yang, Yanfang Yang, Yang Yang, Yangfan Yang, Yangyang Yang, Yanhui Yang, Yanjianxiong Yang, Yanling Yang, Yanmei Yang, Yanmin Yang, Yanping Yang, Yanru Yang, Yanting Yang, Yanyan Yang, Yanzhen Yang, Yaorui Yang, Yaping Yang, Yaqi Yang, Yaxi Yang, Ye Yang, Yefa Yang, Yefeng Yang, Yeqing Yang, Yexin Yang, Yi Yang, Yi-Chieh Yang, Yi-Fang Yang, Yi-Feng Yang, Yi-Liang Yang, Yi-Ping Yang, Yi-ning Yang, Yibing Yang, Yichen Yang, Yidong Yang, Yifan Yang, Yifang Yang, Yifei Yang, Yifeng Yang, Yihe Yang, Yijie Yang, Yilian Yang, Yimei Yang, Yimin Yang, Yiming Yang, Yimu Yang, Yin-Rong Yang, Yinfeng Yang, Ying Yang, Ying-Hua Yang, Ying-Ying Yang, Yingdi Yang, Yingjun Yang, Yingqing Yang, Yingrui Yang, Yingxia Yang, Yingyu Yang, Yinhua Yang, Yining Yang, Yinxi Yang, Yiping Yang, Yiting Yang, Yiyi Yang, Yiying Yang, Yong Yang, Yong-Yu Yang, Yongfeng Yang, Yongguang Yang, Yonghong Yang, Yonghui Yang, Yongjia Yang, Yongjie Yang, Yongkang Yang, Yongqiang Yang, Yongsan Yang, Yongxin Yang, Yongxing Yang, Yongzhong Yang, Yoon La Yang, Yoon Mee Yang, Youhua Yang, YoungSoon Yang, Yu Yang, Yu-Fan Yang, Yu-Feng Yang, Yu-Jie Yang, Yu-Shi Yang, Yu-Tao Yang, Yu-Ting Yang, Yuan Yang, Yuan-Han Yang, Yuan-Jian Yang, Yuanhao Yang, Yuanjin Yang, Yuanquan Yang, Yuanrong Yang, Yuanying Yang, Yuanzhang Yang, Yuanzhi Yang, Yuchen Yang, Yucheng Yang, Yue Yang, Yueh-Ning Yang, Yuejin Yang, Yuexiang Yang, Yueze Yang, Yufan Yang, Yuhan Yang, Yuhang Yang, Yuhua Yang, Yujie Yang, Yujing Yang, Yulin Yang, Yuling Yang, Yulong Yang, Yun Yang, YunKai Yang, Yunfan Yang, Yung-Li Yang, Yunhai Yang, Yunlong Yang, Yunmei Yang, Yunwen Yang, Yunyun Yang, Yunzhao Yang, Yupeng Yang, Yuqi Yang, Yuta Yang, Yutao Yang, Yuting Yang, Yutong Yang, Yuwei Yang, Yuxi Yang, Yuxing Yang, Yuxiu Yang, Yuyan Yang, Yuyao Yang, Yuying Yang, Z Yang, Zaibin Yang, Zaiming Yang, Zaiqing Yang, Zanhao Yang, Ze Yang, Zemin Yang, Zeng-Ming Yang, Zengqiang Yang, Zengqiao Yang, Zeyu Yang, Zhang Yang, Zhangping Yang, Zhanyi Yang, Zhao Yang, Zhao-Na Yang, Zhaojie Yang, Zhaoli Yang, Zhaoxin Yang, Zhaoyang Yang, Zhaoyi Yang, Zhehan Yang, Zheming Yang, Zhen Yang, Zheng Yang, Zheng-Fei Yang, Zheng-lin Yang, Zhenglin Yang, Zhengqian Yang, Zhengtao Yang, Zhenguo Yang, Zhengyan Yang, Zhengzheng Yang, Zhengzhong Yang, Zhenhua Yang, Zhenjun Yang, Zhenmei Yang, Zhenqi Yang, Zhenrong Yang, Zhenwei Yang, Zhenxing Yang, Zhenyun Yang, Zhenzhen Yang, Zheyu Yang, Zhi Yang, Zhi-Can Yang, Zhi-Hong Yang, Zhi-Jun Yang, Zhi-Min Yang, Zhi-Ming Yang, Zhi-Rui Yang, Zhibo Yang, Zhichao Yang, Zhifen Yang, Zhigang Yang, Zhihang Yang, Zhihong Yang, Zhikuan Yang, Zhikun Yang, Zhimin Yang, Zhiming Yang, Zhiqiang Yang, Zhitao Yang, Zhiwei Yang, Zhixin Yang, Zhiyan Yang, Zhiyong Yang, Zhiyou Yang, Zhiyuan Yang, Zhongan Yang, Zhongfang Yang, Zhonghua Yang, Zhonghui Yang, Zhongli Yang, Zhongshu Yang, Zhongzhou Yang, Zhou Yang, Zhuliang Yang, Zhuo Yang, Zhuoya Yang, Zhuoyu Yang, Zi F Yang, Zi Yang, Zi-Han Yang, Zi-Wei Yang, Zicong Yang, Zifeng Yang, Zihan Yang, Ziheng Yang, Zijiang Yang, Zishan Yang, Zixia Yang, Zixuan Yang, Ziying Yang, Ziyou Yang, Ziyu Yang, Zong-de Yang, Zongfang Yang, Zongyu Yang, Zunxian Yang, Zuozhen Yang
articles
Yan Chen, Xiumin Zhao, Rami B Kassab +4 more · 2026 · Journal of biochemical and molecular toxicology · Wiley · added 2026-04-24
Alzheimer's disease (AD) is a neurodegenerative disorder associated with the loss of memory, accumulation of amyloid-beta (Aβ) plaques, and inflammation of the nervous system. Scopolamine, an antagoni Show more
Alzheimer's disease (AD) is a neurodegenerative disorder associated with the loss of memory, accumulation of amyloid-beta (Aβ) plaques, and inflammation of the nervous system. Scopolamine, an antagonist of muscarinic receptors, is commonly used to mimic the cognitive and behavioral deficits of AD in laboratory animals. In this study, we aimed to test the neuroprotective properties of hyperforin (HPF), a compound extracted from the St. John's wort plant (Hypericum perforatum), in a scopolamine rat model of AD. Sprague-Dawley rats were divided into four groups: control (saline), scopolamine (10 mg/kg, i.p.), scopolamine + hyperforin (10 mg/kg, p.o. for 7 days), and scopolamine + donepezil. Biochemical, and histopathological assessments were performed. Protein analysis related to inflammation, apoptosis, and the HMGB1/RAGE signaling pathway was performed using Western blotting. IL-1α, levels were measured by ELISA. Nissl staining evaluated neuronal damage in the hippocampus. Hyperforin significantly suppressed the activation of the HMGB1/RAGE signaling axis. Furthermore, hyperforin in this model also suppressed pyroptotic cell death and lowered IL-1α, IL-1β, and IL-18 levels. In addition, HPF reduced Aβ formation by downregulating BACE1 and blocking the activity of inflammasomes composed of canonical and non-canonical caspase-1/11. HPF appears to be a potential therapeutic candidate for neurodegeneration associated with AD, given that hyperforin actively demonstrated neuroprotective effects in a scopolamine-induced AD model, most likely through blocking the HMGB1/RAGE signaling pathway, mitigating neuroinflammation and pyroptosis, and inhibiting Aβ synthesis. Show less
no PDF DOI: 10.1002/jbt.70753
BACE1
Xuening Li, Yameng Zhang, Xinyan Shi +3 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundThe majority of early-onset familial Alzheimer's disease is caused by mutations in the presenilin 1 (
no PDF DOI: 10.1177/13872877261418314
BACE1
Shangming Li, Bocheng Xiong, Nan Xu +7 more · 2026 · Molecular neurobiology · Springer · added 2026-04-24
Alzheimer's disease (AD), the most prevalent form of dementia, is characterized as a slowly progressing neurodegenerative disease marked by senile plaques and neurofibrillary tangles due to the buildu Show more
Alzheimer's disease (AD), the most prevalent form of dementia, is characterized as a slowly progressing neurodegenerative disease marked by senile plaques and neurofibrillary tangles due to the buildup of amyloid-beta peptide (Aβ) and phosphorylated tau in the brain. It is reported that arctigenin (ATG) reduces the level of the enzyme 1 that cleaves β-site amyloid precursor protein and increases Aβ clearance by enhancing autophagy. Compound ARC-18 is a derivative of ATG. The main objective of this study is to investigate whether ARC-18 could improve cognitive function and disease progression by promoting autophagy in Alzheimer-like animal models. Three-month-old 5 × FAD mice were orally treated with the drug for three consecutive months. Water maze and novel object recognition were used to assess cognitive abilities of 5 × FAD mice. In the hippocampus of the mice' brain, APP processing-related proteins (sAPP Show less
📄 PDF DOI: 10.1007/s12035-026-05731-0
BACE1
Jianbo Yang, Jinfeng Xu, Xiaoyang Wang +3 more · 2026 · Journal of molecular histology · Springer · added 2026-04-24
Electroacupuncture (EA) has been widely used in the clinical treatment of cognitive impairment after cerebral ischemia (CI) in China, but the specific molecular mechanism is not fully understood yet. Show more
Electroacupuncture (EA) has been widely used in the clinical treatment of cognitive impairment after cerebral ischemia (CI) in China, but the specific molecular mechanism is not fully understood yet. In this study, permanent middle cerebral artery occlusion (pMCAO) model mice were administrated with EA therapy, Morris water maze (MWM) test was used for evaluation of cognitive function, Nissl staining was employed to quantify surviving neurons in the hippocampus, and enzyme-linked immunosorbent assay (ELISA) was utilized to detect the levels of amyloid beta (Aβ). The results showed that EA treatment obviously improved learning and memory abilities in the mice with pMCAO, inhibited neuronal loss in the hippocampus, and reduced the levels of Aβ40 and Aβ42. Meanwhile, we observed that METTL3 expression and total N6-methyladenosine (m6A) levels were significantly increased in the hippocampal tissues of pMCAO mice, which were reduced by EA therapy. Then, hippocampal neuronal cell line HT22 was induced by oxygen-glucose deprivation (OGD) to verify the molecular regulatory mechanism in vitro, and we found that METTL3 upregulated BACE1 expression in OGD-induced HT22 cells through promoting m6A enrichment on BACE1 mRNA, thus facilitating Aβ production and cell apoptosis of OGD-induced HT22 cells. Finally, through in vivo functional recovery experiments, we demonstrated that EA therapy restrained the METTL3/BACE1 axis to alleviate Aβ accumulation and cognitive dysfunction in pMCAO model mice. In summary, our data reveals that the m6A-modified BACE1 pathway is one of the molecular targeting mechanisms for EA treatment in cognitive impairment after CI. Show less
no PDF DOI: 10.1007/s10735-025-10700-3
BACE1
Xuqiao Wang, Dongyang Wang, Jiaqi Liu +12 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
Chronic cerebral hypoperfusion (CCH), a subclinical state underlying mild cognitive impairment (MCI), triggers multiple pathological changes associated with Alzheimer's disease (AD) and vascular demen Show more
Chronic cerebral hypoperfusion (CCH), a subclinical state underlying mild cognitive impairment (MCI), triggers multiple pathological changes associated with Alzheimer's disease (AD) and vascular dementia (VaD), including amyloid-β (Aβ) deposition, tau phosphorylation, microglial activation and neural circuit dysfunction. Developing multitarget therapeutics to effectively prevent the transition from MCI to AD and/or VaD remains an urgent challenge. Herein, we engineered a brain-targeted dual-modified PEGylated nanoliposome (LipTM@miR-195), incorporating mannose (MAN) and the trans-activating protein of HIV type 1 (TAT), which encapsulates polyethyleneimine (PEI) complesed microRNA-195 (miR-195). In a CCH rat model, tail-vein administration of LipTM@miR-195 (0.112 mg/kg) efficiently crossed the blood-brain barrier (BBB) without detectable side effects. Treatment reversed CCH-induced spatial learning and memory deficits, rescued neural circuit dysfunction, and suppressed elevated APP, BACE1, AT8 and CD68 levels. Collectively, these findings provide compelling evidence that LipTM@miR-195 nanoliposome holds therapeutic potential for CCH-induced cognitive impairment, thereby preventing the progression from MCI to AD and/or VaD. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.149290
BACE1
Zhihao Zhao, Yutong Yang, Liu Zhang +12 more · 2026 · Scientific reports · Nature · added 2026-04-24
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don Show more
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don and Scleromitrion diffusum (Willd.) R.J. Wang (SB-SD) exhibit diverse biological activities, such as anti-inflammatory, antioxidant, and antitumor effects, though their precise regulatory mechanisms are not fully elucidated. Here, we treated PC cells with SB-SD to assess its impact on cell viability, apoptosis, migration, and cell cycle progression, while Western blotting analyzed the expression of HSP90AA1, MAPK3, p53, CDK1, and p21. We also established a pancreatic cancer xenograft model in nude mice to evaluate the in vivo inhibitory effect of SB-SD on tumor growth. Furthermore, we employed metagenomic sequencing, untargeted metabolomics, and quantitative proteomics to comprehensively profile changes in the gut microbiota, serum metabolites, and differentially expressed proteins, with Western blotting subsequently validating BCKDK, GATM and p53 expression. The results show that SB-SD significantly inhibited PC cell proliferation, promoted apoptosis, and induced S/G2 phase cell cycle arrest, potentially via modulation of the HSP90AA1/MAPK3 signaling pathway. Measurements of tumor volume and weight, complemented by histopathological analysis, confirmed that SB-SD effectively suppressed the growth of PANC-1 xenograft tumors. Integrated multi-omics analyses suggest that the antitumor effects of SB-SD may involve the modulation of key gut microbes like Bacteroides caccae and Lactobacillus, the promotion of choline metabolism, and the regulation of BCKDK and GATM. Together, these findings not only corroborate the direct antitumor activity of SB-SD against pancreatic cancer but also offer novel mechanistic insights by constructing a microbiota-metabolite-protein interaction network. Show less
📄 PDF DOI: 10.1038/s41598-026-45676-x
BCKDK
Valeriya Malysheva, Helen Ray-Jones, Nora Lakes +32 more · 2026 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Innate lymphoid cells (ILCs) are rare, tissue-resident innate lymphocytes that functionally mirror CD4+ T helper cell lineages but lack antigen receptors. Type 3 ILCs (ILC3s) are enriched in the gut, Show more
Innate lymphoid cells (ILCs) are rare, tissue-resident innate lymphocytes that functionally mirror CD4+ T helper cell lineages but lack antigen receptors. Type 3 ILCs (ILC3s) are enriched in the gut, airways, and mucosal lymphoid tissues, where they regulate inflammation and promote barrier integrity. To define the regulatory architecture of primary human ILC3s, we map promoter-anchored chromosomal contacts using high-resolution, low-input Promoter Capture Hi-C (PCHi-C) in these cells alongside CD4+ T cells. By combining statistical detection with a PCHi-C-adapted Activity-by-Contact approach, we link promoters to distal regulatory elements, identifying hundreds of ILC3-specific contacts. We use these maps to connect genome-wide association study (GWAS) risk variants for Crohn's disease to target genes using multiCOGS, a Bayesian framework that integrates PCHi-C with summary-statistic imputation and multivariate fine-mapping. This analysis highlights both known and unanticipated candidates, including Show less
📄 PDF DOI: 10.1101/2022.10.19.512842
CLN3
Haizheng Yu, Ruiyang Yao, Sixue Zhang +7 more · 2026 · Acta pharmaceutica Sinica. B · Elsevier · added 2026-04-24
📄 PDF DOI: 10.1016/j.apsb.2025.11.041
CPS1
Qingqing Zhang, Di Wu, Fengyun Guo +4 more · 2026 · Digestion · added 2026-04-24
High-risk chronic atrophic gastritis (CAG; OLGA/OLGIM Ⅲ-Ⅳ) carries significant gastric cancer (GC) risk yet lacks reliable gastric stem cell (GSC)-based biomarkers. We evaluated GSC markers LGR5 (prol Show more
High-risk chronic atrophic gastritis (CAG; OLGA/OLGIM Ⅲ-Ⅳ) carries significant gastric cancer (GC) risk yet lacks reliable gastric stem cell (GSC)-based biomarkers. We evaluated GSC markers LGR5 (proliferative) and TFF2 (protective) for risk stratification. TCGA/GEO bioinformatics analysis preceded immunohistochemical validation in 60 clinical samples. Protein co-expression (Wnt/β-catenin, Ki67, Bax) was assessed. Diagnostic/prognostic power was tested via ROC and Kaplan-Meier analyses. Functional networks were deciphered through GO/KEGG enrichment. High-risk CAG and GC tissues showed LGR5 upregulation and TFF2 downregulation (p < 0.001). IHC confirmed these patterns, with concurrent Wnt activation (β-catenin↑, cyclin D1↑) and proliferation-apoptosis imbalance (Ki67↑, Bax↓). TFF2 outperformed LGR5 in diagnosing high-risk CAG (AUC: 0.842 vs. 0.681). Poor GC prognosis correlated with high LGR5/low TFF2 (p < 0.05). Co-expression networks linked LGR5 to metabolic genes (CPS1, ADH6) and TFF2 to mucosal defense (GKN1, PGC). The coordinated assessment of LGR5 and TFF2 offers a promising approach to identifying high-risk CAG. This biomarker pair captures a homeostatic imbalance in GSCs linked to Wnt/β-catenin signaling, establishing a novel molecular framework for early detection and future targeted strategies. Show less
no PDF DOI: 10.1159/000549887
CPS1
Yuan Yang, Tao Guo, Peiyuan Li +5 more · 2026 · Food science & nutrition · Wiley · added 2026-04-24
The potential role of artificial sweeteners in eosinophilic esophagitis (EoE) remains poorly understood. This study aimed to investigate the molecular mechanism by which saccharin might exacerbate EoE Show more
The potential role of artificial sweeteners in eosinophilic esophagitis (EoE) remains poorly understood. This study aimed to investigate the molecular mechanism by which saccharin might exacerbate EoE. We integrated network toxicology with machine learning approaches to identify core pathogenic genes of EoE. The interactions between saccharin and the predicted targets were validated via molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR). Our analysis identified MAPK3, CPS1, and HS3ST1 as potential EoE-related targets of saccharin. Molecular docking demonstrated strong binding affinities between saccharin and these proteins, which was confirmed by stable binding via molecular dynamics simulations. Further SPR analysis revealed that saccharin binds directly to MAPK3. This study demonstrated that saccharin potentially aggravates EoE by directly targeting MAPK3 to activate pro-inflammatory pathways, highlighting a novel dietary risk factor and underscoring the need for a safe reevaluation for susceptible populations. Show less
📄 PDF DOI: 10.1002/fsn3.71409
CPS1
Yingyu Yang, Aimin Ge, Yaru Xu +4 more · 2026 · Future science OA · Taylor & Francis · added 2026-04-24
This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC data Show more
This study sought to identify neurotransmitter receptor-related genes (NR-RGs) that are critically involved in non-small cell lung cancer (NSCLC) through bioinformatics approaches. The TCGA-NSCLC dataset was utilized as the training cohort, while the GSE50081 dataset served as the validation cohort. NR-RGs were curated, and single-sample gene set enrichment analysis (ssGSEA) scores were computed. Subsequently, weighted gene co-expression network analysis (WGCNA) and functional enrichment analyses were conducted. A risk prediction model and a prognostic model were constructed based on identified gene signatures. Finally, a competing endogenous RNA (ceRNA) network was established, and gene expression levels were experimentally validated. 192 differentially expressed genes were identified as candidate NR-RGs. The risk model ultimately highlighted six genes: CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 as potential biomarkers. The prognostic model demonstrated robust predictive performance for patient outcomes. Immune infiltration analysis revealed a significant positive correlation between neutrophil abundance and the risk score. Expression analysis indicated that CPS1 and CALB2 were downregulated in NSCLC samples, whereas CDH17, NIPAL4, SOX2, and KREMEN2 were upregulated. The genes CPS1, CDH17, NIPAL4, SOX2, CALB2, and KREMEN2 were identified as prognostic biomarkers in NSCLC, providing insights into their potential roles in disease progression and therapeutic targeting. Show less
📄 PDF DOI: 10.1080/20565623.2025.2610162
CPS1
Xuancheng Xie, Hongjie Fan, Mengyao Zheng +8 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
no PDF DOI: 10.1016/j.ijbiomac.2025.149246
CPS1
Zhiqiang Liu, Jianyang Sun, Aoya Shi +7 more · 2026 · Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology · Elsevier · added 2026-04-24
N-carbamylglutamate (NCG) is an activator of arginine biosynthesis, but its specific role in crustaceans remains poorly understood. This study aimed to investigate the effects of NCG on arginine biosy Show more
N-carbamylglutamate (NCG) is an activator of arginine biosynthesis, but its specific role in crustaceans remains poorly understood. This study aimed to investigate the effects of NCG on arginine biosynthesis capacity, metabolism, digestion, and the gene expression of the mTOR signaling pathway in Eriocheir sinensis. In Experiment 1, hepatopancreas was cultured in vitro with NCG medium (0, 65, 75, and 85 mg/L NCG). In Experiment 2, crabs were fed either regular feed or NCG feed (content: 302.96 ± 4.07 mg/kg) for 14 days. In Experiment 1, NCG significantly upregulated pyrroline-5-carboxylate synthase (p5cs) gene expression (P < 0.05), an enzyme that is related to arginine biosynthesis. Similarly, dietary NCG upregulated p5cs expression and significantly increased the activities of carbamoyl-phosphate synthase-1 (CPS-1) and P5CS in the hepatopancreas and intestine (P < 0.05). Metabolomics analysis indicated that NCG altered the metabolic profile of the hepatopancreas, promoting cholesterol metabolism, and arginine and proline metabolism. In the intestine, trypsin and α-amylase activities were significantly elevated (P < 0.05). NCG also altered the composition of intestinal microflora, with an increase in Proteobacteria and in the ratio of Firmicutes to Bacteroidota. Additionally, NCG increased the content of signaling molecule nitric oxide (NO) and upregulated the expression of genes in the mTOR signaling pathway (P < 0.05). In conclusion, NCG supplementation enhanced arginine biosynthesis capacity, stimulated intestinal enzymatic activities, and upregulated mTOR signaling pathway gene expression in Eriocheir sinensis, indicating the potential for improved metabolism and digestion. Show less
no PDF DOI: 10.1016/j.cbpb.2025.111178
CPS1
Xiaopu Cui, Sixian Guo, Yu Zhang +5 more · 2026 · Clinical biochemistry · Elsevier · added 2026-04-24
This study aimed to analyze the clinical features, genetic basis, and management of late-onset carbamoyl phosphate synthetase 1 deficiency (CPS1D) through a pediatric case report and literature review Show more
This study aimed to analyze the clinical features, genetic basis, and management of late-onset carbamoyl phosphate synthetase 1 deficiency (CPS1D) through a pediatric case report and literature review, highlighting diagnostic challenges and therapeutic strategies. We present a 19-year-old female with recurrent neurological symptoms since age 8. She underwent comprehensive metabolic screening, neuroimaging, and whole-exome sequencing of theCPS1gene. Identified variants were assessed for pathogenicity using multiple orthogonalin silicoprediction tools. The patient's initial hyperammonemic crisis at age 8 was misdiagnosed as encephalitis. Workup at age 13 confirmed hyperammonemia (peak 168 µmol/L), hypocitrullinemia, and elevated glutamine. Genetic analysis identified compound heterozygousCPS1variants: a novel c.1058 T > C (p.F353S) and known pathogenic c.1145C > T (p.P382L). A self-selected low-protein diet controlled acute crises but led to severe growth failure (height 145 cm, weight 30 kg). Late-onset CPS1D's nonspecific neurological symptoms often lead to misdiagnosis. Diagnosis requires a high index of suspicion, integrating metabolic profiling with genetic confirmation. This case expands the pathogenic genotypic spectrum of CPS1D. It crucially highlights that while dietary management is life-saving, it requires expert multidisciplinary oversight to prevent devastating consequences like growth failure, especially in resource-limited settings. Routine ammonia testing in unexplained encephalopathy is paramount. Show less
no PDF DOI: 10.1016/j.clinbiochem.2025.111041
CPS1
Wu Xiao, Lianghua Luo, Yong Yang +2 more · 2026 · Scientific reports · Nature · added 2026-04-24
This study aims to investigate the role of DUSP6 in thyroid cancer metastasis and elucidate its underlying molecular mechanisms. Immunohistochemistry were performed to explore the expression of DUSP6, Show more
This study aims to investigate the role of DUSP6 in thyroid cancer metastasis and elucidate its underlying molecular mechanisms. Immunohistochemistry were performed to explore the expression of DUSP6, IL-8 and PAD4 in papillary thyroid carcinoma (PTC) tissues and adjacent non-cancerous thyroid tissues. Effects of DUSP6 on the proliferation, apoptosis, migration, and invasion of thyroid cancer cell lines TPC-1 and IHH4 were performed through in vitro experiments. A rescue experiment was performed to verified DUSP6 regulated the migration and invasion of thyroid cancer cells TPC-1 and IHH4 through IL-8 and neutrophil extracellular traps (NETs) formation. In addition, in vitro cell experiments were conducted to analyze the regulation of NETs formation by DUSP6 through IL-8. Finally, the effect of sh-DUSP6 on the growth of thyroid cancer tumors in mice were conducted through in vivo experiments. DUSP6 expression was significantly upregulated in PTC tissues. Moreover, the expression of DUSP6 in tumor tissues of TPC patients is positively correlated with the expression of IL-8 and PAD4. Overexpression of DUSP6 promotes the proliferation, migration, and invasion of thyroid cancer cells (TPC-1 and IHH4) while inhibiting apoptosis. Conversely, silencing DUSP6 exerts opposing effects. Knockdown of IL-8 reverses the enhanced migratory and invasive capabilities induced by DUSP6 overexpression in these cell lines. NETs treatment enhances the migration and invasion of TPC-1 and IHH4 cells, whereas the application of sh-DUSP6 or sh-IL-8 counteracts this NETs-mediated promotion. Furthermore, DUSP6 overexpression facilitates NETs formation by upregulating IL-8 expression. In vivo experiments demonstrate that sh-DUSP6 suppresses thyroid cancer tumor growth in mouse models. Conclusion: DUSP6 promotes the metastasis of thyroid cancer by facilitating the formation of neutrophil extracellular traps via IL-8. Show less
📄 PDF DOI: 10.1038/s41598-026-43233-0
DUSP6
Kaidi Yang, Shihui Fu, Jingbing Liang +5 more · 2026 · MedComm · Wiley · added 2026-04-24
Although
📄 PDF DOI: 10.1002/mco2.70591
DUSP6
Jung-Eun Moon, Hyun Su Kang, Yong June Chang +7 more · 2026 · The Journal of craniofacial surgery · added 2026-04-24
Osteomas are benign, slow-growing bony tumors that commonly develop in the craniofacial region; however, standardized diagnostic and treatment protocols remain limited. This study aimed to establish a Show more
Osteomas are benign, slow-growing bony tumors that commonly develop in the craniofacial region; however, standardized diagnostic and treatment protocols remain limited. This study aimed to establish a systematic approach for the diagnosis, genetic evaluation, and surgical management of craniofacial osteomas, with emphasis on lesion distribution and gender prevalence. A retrospective review was conducted on 141 patients with craniofacial osteomas at Kyungpook National University Hospital between October 2011 and September 2025. All patients underwent clinical examinations and 3-dimensional computed tomography for diagnostic confirmation. Surgical excision was performed using direct, endoscopic, or bicoronal approaches based on lesion characteristics. Whole exome sequencing was performed in patients with multiple large osteomas to evaluate mutations in EXT1, EXT2, APC, MSH2, and MLH1 genes associated with Gardner syndrome. A total of 148 osteomas were identified. The frontal bone was the most common site (60.1%), followed by the parietal, mandibular, and occipital bones. Females accounted for 79.1% of cases. Genetic testing revealed no pathogenic variants related to Gardner syndrome, and no recurrences were observed during 6 months of follow-up. Craniofacial osteomas are benign, slow-growing lesions most frequently found in the frontal bone and are more prevalent among females. The integration of imaging-based diagnosis, tailored surgical techniques, and selective genetic testing allows for accurate evaluation, effective treatment, and favorable postoperative outcomes. Show less
no PDF DOI: 10.1097/SCS.0000000000012685
EXT1
Yali Yang, Zhenzhong Han, Guowei Li +7 more · 2026 · Bioscience trends · added 2026-04-24
Hereditary Multiple Osteochondromas (HMO) is a rare autosomal dominant skeletal disorder caused by heterozygous loss-of-function mutations in EXT1 or EXT2, which encode glycosyltransferases essential Show more
Hereditary Multiple Osteochondromas (HMO) is a rare autosomal dominant skeletal disorder caused by heterozygous loss-of-function mutations in EXT1 or EXT2, which encode glycosyltransferases essential for heparan sulfate (HS) biosynthesis. Whether haploinsufficiency alone suffices or biallelic inactivation is required for osteochondroma formation remains a central unresolved question. In this study, we employed CRISPR/Cas9 combined with PiggyBac transposon technology to introduce a second pathogenic mutation (c.1883+1G>T) into patient-derived induced pluripotent stem cells (iPSCs) carrying a heterozygous EXT1 c.1126C>T mutation. This approach enabled the generation of isogenic iPSC lines: wild-type (WT), single-mutant (SM), and double-mutant (DM). These iPSCs were differentiated through induced mesenchymal stem cells (iMSCs) into chondrocytes. Biallelic EXT1 mutation in DM cells led to significant upregulation of SOX9, COL2A1, and ACAN, elevated glycosaminoglycan (GAG) levels, and markedly reduced HS, whereas SM cells remained indistinguishable from WT. Three-dimensional (3D) chondrogenic organoid cultures revealed that DM organoids were enlarged and structurally disorganized, partially recapitulating key histopathological features of osteochondromas. Transcriptomic analysis identified the Wnt signaling pathway as the most significantly enriched pathway among differentially expressed genes following EXT1 loss. Collectively, these findings provide direct human cellular evidence that complete EXT1 inactivation-not haploinsufficiency-drives aberrant chondrogenesis, likely through impaired sequestration of morphogen ligands, thereby supporting the Two-hit pathogenic model. Show less
no PDF DOI: 10.5582/bst.2026.01046
EXT1
Ping Guo, Wenli Li, Shasha Chen +5 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Long-term antigen-specific data in PMN among Chinese populations remain limited. This study evaluated six target antigens and their clinical significance during extended follow-up. We retrospectively Show more
Long-term antigen-specific data in PMN among Chinese populations remain limited. This study evaluated six target antigens and their clinical significance during extended follow-up. We retrospectively analyzed 132 treatment-naïve PMN patients diagnosed by biopsy (2010-2018) and followed for a median of 62.9 months. Renal tissue expression of PLA2R, THSD7A, NELL-1, PCDH7, EXT1, and EXT2 was assessed by immunohistochemistry, and serum anti-PLA2R antibodies were measured by ELISA. Associations between antigen profiles and 5-year outcomes (remission, renal survival, malignancy) were evaluated. PLA2R was the predominant antigen (84.1%), followed by THSD7A (5.3%) and NELL-1 (0.76%); no PCDH7, EXT1, or EXT2 positivity was detected. PLA2R-negative patients were more often female (71.4% vs. 36.0%, This >5-year Chinese PMN cohort provides the first comprehensive analysis of six target antigens. PLA2R remains predominant, while PLA2R-negative patients distinct immunopathologic features yet favorable long-term outcomes. A population-specific anti-PLA2R cutoff showed good diagnostic performance for predicting tissue antigen deposition. Rare antigens were infrequent and their malignancy associations require cautious interpretation. These findings provide long-term antigen-specific data supporting antigen-guided, population-adapted precision management of PMN. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1761515
EXT1
Yi-Chun Chiang, Chih-Yang Wang, Neethu Palekkode +22 more · 2026 · Journal of Cancer · added 2026-04-24
Exostosin glycosyltransferase 1 (
📄 PDF DOI: 10.7150/jca.123965
EXT1
Yao Xie, Tieqiu Huang, He Wang +2 more · 2026 · Journal of cardiovascular pharmacology · added 2026-04-24
Heart failure (HF), with varied symptoms caused by cardiac strain or damage, has high morbidity and mortality. Protein lactylation, a post-translational modification, regulates immune and cardiovascul Show more
Heart failure (HF), with varied symptoms caused by cardiac strain or damage, has high morbidity and mortality. Protein lactylation, a post-translational modification, regulates immune and cardiovascular processes, but its role in HF's immune microenvironment remains underexplored. Differentially expressed lactylation-related genes (LacRGs) were identified by intersecting HF differentially expressed genes with LacRG data sets. Unsupervised clustering categorized patients with HF into LacRG-based subgroups. An LacRG diagnostic model was developed to assess associations with immune cell infiltration, immunotherapy potential, and single-cell RNA sequencing expression patterns. HF mouse models were constructed and verified for LacRG expression. In 200 HF versus 166 non-HF samples, 38 differentially expressed LacRGs were identified, revealing distinct immune landscapes. Two LacRG clusters exhibited unique functional enrichment and immunologic features. A 14-gene LacRG signature distinguished HF from controls with high accuracy (area under the curve: 0.999, 1.000, 0.744). Single-cell RNA sequencing (GSE145154) revealed reduced lactylation scores in fibroblast, macrophage, T-cell, and NK-cell subsets in HF, alongside characterization of altered cellular subtypes and activated signaling pathways within these populations. External data sets (GSE46224, GSE116250) identified 6 hub genes-HBB, EXT1, CENPA, NT5E, STAT4, and CAPN5, which were validated in HF mouse models. In addition, analysis of HF dataset further indicated higher LacRG scores in heart failure with preserved ejection fraction than in reduced ejection fraction. Lactylation modification is closely linked to HF's immune microenvironment. A 14-gene LacRG signature and 6 hub genes provide novel insights into HF pathophysiology and potential therapeutic avenues. Further studies are warranted to validate their regulatory roles in HF through immune microenvironmental mechanisms. Show less
no PDF DOI: 10.1097/FJC.0000000000001775
EXT1
Ruirui Zhu, Hao Tian, Fangfang Zou +7 more · 2026 · iScience · Elsevier · added 2026-04-24
The intramuscular fat content and the unsaturated fatty acid (UFA) composition are both critical indicators of buffalo meat quality. While microRNAs regulate fatty acid metabolism, their specific role Show more
The intramuscular fat content and the unsaturated fatty acid (UFA) composition are both critical indicators of buffalo meat quality. While microRNAs regulate fatty acid metabolism, their specific roles in buffaloes remain unclear. Our previous WGCNA identified bta-miR-30f as a hub miRNA positively correlated with UFA levels. In the present study, bta-miR-30f was found to be highly expressed in sternum subcutaneous adipose tissue and mature adipocytes. Functional studies indicated that bta-miR-30f increased lipid accumulation via enhanced adipogenesis and UFA levels, upregulating key genes including Show less
📄 PDF DOI: 10.1016/j.isci.2025.114578
FADS1
Meihua Yang, Qian Xu, Fangyan Li +9 more · 2026 · Clinical and experimental medicine · Springer · added 2026-04-24
The global prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, and the accurate, non-invasive assessment of liver fibrosis remains an important clinical c Show more
The global prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, and the accurate, non-invasive assessment of liver fibrosis remains an important clinical challenge. This study aimed to identify ferroptosis biomarkers associated with MASLD-related liver fibrosis progression, explore their potential biological links with MRI-derived parameters, and provide new clues for developing non-invasive diagnostic strategies for ferroptosis. A MASLD-related liver fibrosis model was established using 30 Sprague-Dawley (SD) rats. Hub differentially expressed ferroptosis-related genes (DE-FRGs) were identified through the integration of weighted gene co-expression network analysis (WGCNA), differential expression analysis, and LASSO regression. The role of ferroptosis in MASLD was evaluated using transmission electron microscopy (TEM) and measurements of glutathione (GSH) and Fe²⁺ content. T2*, R2*, and proton density fat fraction (PDFF) were obtained through magnetic resonance imaging (MRI) and were analyzed for correlations with hub DE-FRGs and Fe²⁺ levels. A total of eight hub DE-FRGs were identified: Pck2, Idh2, Nr1d1, Fads1, Sat1, Abhd12, Got1, and Srebf1. Enrichment analyses revealed that these hub DE-FRGs were predominantly implicated in carbohydrate response, amino acid biosynthesis, insulin resistance, and the AMPK signaling pathway. TEM and biochemical markers analyses demonstrated an association between MASLD-related liver fibrosis and ferroptosis. MRI‑derived parameters were significantly correlated with Fe²⁺ levels and the expression of hub DE-FRGs. This study preliminarily identified hub DE-FRGs associated with liver fibrosis in MASLD and their signaling pathways, verified indirect indicators related to ferroptosis, and proposed their potential correlation with MRI-derived parameters. Show less
📄 PDF DOI: 10.1007/s10238-025-02034-x
FADS1
Hang Yang, Xingyue Wang, Caixia Wang +7 more · 2026 · Cell communication and signaling : CCS · BioMed Central · added 2026-04-24
The hepatocytes orchestrate anabolic and catabolic pathways by dynamically modulating mitochondria–endoplasmic reticulum contacts (MERCs) in response to dietary fluctuations. While MERCs exhibit prono Show more
The hepatocytes orchestrate anabolic and catabolic pathways by dynamically modulating mitochondria–endoplasmic reticulum contacts (MERCs) in response to dietary fluctuations. While MERCs exhibit pronounced dietary sensitivity, the underlying regulatory mechanisms remain poorly elucidated. Here, a bimolecular fluorescence complementation-based proximity labeling strategy was utilized to identify the MERCs proteomes in hepatocytes under various nutritional conditions. As a result, many previously uncharacterized MERCs proteins were identified to be sensitive to nutritional state, suggesting that these proteins might play important roles in regulating hepatic metabolism. We further demonstrated that FADS3 accumulates at MERCs under starvation. FADS3 was proved to play important role for the maintenance of MERCs in both cell lines and mice liver. Deficiency of FADS3 in mice liver induces altered sphingolipid metabolism under starvation. Our study provided comprehensive insights into the composition and dynamics of mitochondria-ER contacts in hepatocytes under various metabolic conditions, and also revealed key regulatory proteins linking mitochondria-ER contacts and metabolic adaptation. [Image: see text] The online version contains supplementary material available at 10.1186/s12964-026-02679-5. Show less
📄 PDF DOI: 10.1186/s12964-026-02679-5
FADS3
Mei Yang, Danmei Zhou, Jie Fan +7 more · 2026 · Journal of neuro-oncology · Springer · added 2026-04-24
📄 PDF DOI: 10.1007/s11060-026-05577-5
FGFR1
Zhe Zhang, Yili Xiong, Mingyang Li +9 more · 2026 · International journal of biological sciences · added 2026-04-24
High mobility group AT-hook 1 (HMGA1) is a chromatin regulator overexpressed in various cancers, often predicting poor outcomes. However, its role in head and neck squamous cell carcinoma (HNSCC) rema Show more
High mobility group AT-hook 1 (HMGA1) is a chromatin regulator overexpressed in various cancers, often predicting poor outcomes. However, its role in head and neck squamous cell carcinoma (HNSCC) remains unclear. A hallmark of HNSCC is the rapid growth of its vasculature. Here, we identify an epigenetic mechanism whereby HMGA1 promotes tumor progression and angiogenesis via upregulation of fibroblast growth factor-binding protein 1 (FGFBP1). Show less
📄 PDF DOI: 10.7150/ijbs.109079
FGFR1

2

Pinglian Wu, Zhaodi Tian, Weizhong Shen +9 more · 2026 · Journal of enzyme inhibition and medicinal chemistry · Taylor & Francis · added 2026-04-24
Although FGFR2 is a well-validated oncogenic target, no selective FGFR2 inhibitors have been approved for clinical use. In this study, we report the discovery of 2
📄 PDF DOI: 10.1080/14756366.2026.2647526
FGFR1
Xue Yang, Xinke Li, Xuan Zhang +3 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Short-chain fatty acids (SCFAs) are key microbial metabolites that support intestinal and skeletal development, yet their coordinated effects during early life remain poorly defined. In this study, ne Show more
Short-chain fatty acids (SCFAs) are key microbial metabolites that support intestinal and skeletal development, yet their coordinated effects during early life remain poorly defined. In this study, neonatal mice were administered SCFAs for 28 days to evaluate their impacts on growth, intestinal barrier integrity, immune modulation, bone development, and gut microbiota composition. Valerate supplementation significantly increased body weight and intestinal length. It enhanced the villus structure, crypt depth, and goblet cell number, alongside upregulation of tight junction and mucin genes, indicating improved barrier function. Valerate and propionate also promoted the expression of interleukin-4 (IL-4) and interleukin-10 (IL-10) and reduced pro-inflammatory cytokines, suggesting an immunomodulatory shift. In the skeletal system, valerate improved the microarchitecture, increased bone mineral density (BMD), and upregulated osteogenic genes runt-related transcription factor 2 (Runx2), fibroblast growth factor receptor 1 (FGFR1), and growth hormone receptor (GHR). Microbiota profiling showed enrichment of several genera ( Show less
no PDF DOI: 10.1039/d5fo05394c
FGFR1
Yu Feng, Ningning Jia, Peng Huang +2 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Psychiatric disorders, including bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ), share substantial genetic overlap. We conducted a cross-ancestry multivariate genome-w Show more
Psychiatric disorders, including bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ), share substantial genetic overlap. We conducted a cross-ancestry multivariate genome-wide association study (GWAS) integrating European and East Asian populations to uncover shared genetic underpinnings. Our analyses identified 403 loci associated with shared polygenic liability to psychiatric disorders, including 88 novel regions. Cross-ancestry fine-mapping highlighted robust shared signals, notably at VRK2 (rs7596038), consistently significant across ancestries. Gene prioritization revealed 90 high-confidence candidate genes enriched in neurodevelopmental pathways. Single-nucleus RNA sequencing implicated excitatory neurons and astrocytes as key cellular contexts, emphasizing NCAM1-FGFR1 and NEGR1-NEGR1 signaling pathways. Mendelian randomization analyses provided causal evidence linking shared genetic liability to structural brain alterations, particularly in regions crucial for emotion and cognition. Polygenic risk scores derived from shared genetic liability substantially enhanced predictive accuracy for BD and SCZ, demonstrating strong trans-ancestry validity. These results advance understanding of shared genetic architecture in psychiatric disorders, highlighting potential therapeutic targets and emphasizing the critical importance of diverse ancestry studies in precision psychiatry. Show less
no PDF DOI: 10.1038/s41380-026-03541-3
FGFR1
Yi-Fang Yang, Pei-Lun Yu, Chih-Yu Chou +1 more · 2026 · Journal of translational medicine · BioMed Central · added 2026-04-24
Head and neck cancer (HNC) is a biologically heterogeneous malignancy with limited actionable therapeutic targets. The fibroblast growth factor receptor (FGFR) family comprises receptor tyrosine kinas Show more
Head and neck cancer (HNC) is a biologically heterogeneous malignancy with limited actionable therapeutic targets. The fibroblast growth factor receptor (FGFR) family comprises receptor tyrosine kinases implicated in tumor progression; however, their specific roles in HNC remain incompletely defined. Genomic alterations, transcriptomic profiles, and clinical relevance of Among FGFR4 functions as an oncogenic driver in HNC, promoting tumor progression through the ERK–RUNX3–MMP2 axis and mediating chemoresistance via FGFR4–ERK signaling. The ERK-dependent induction of FGF19 and FGFR4 establishes a positive feedback circuit that sustains oncogenic activation. Targeting the FGF19/FGFR4 axis, particularly when combined with MEK/ERK inhibitors, represents a promising strategy to overcome resistance in HNC. The online version contains supplementary material available at 10.1186/s12967-026-07999-1. Show less
📄 PDF DOI: 10.1186/s12967-026-07999-1
FGFR1