👤 Benjamin Chen

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
2981
Articles
1996
Name variants
Also published as: Wen-Chau Chen, Jingzhao Chen, Dexi Chen, Haifeng Chen, Chung-Jen Chen, Bo-Jun Chen, Gao-Feng Chen, Changyan Chen, Weiwei Chen, Fenghua Chen, Xiaojiang S Chen, Xiu-Juan Chen, Jung-Sheng Chen, Xiao-Ying Chen, Chong Chen, Junyang Chen, YiPing Chen, Xiaohan Chen, Li-Zhen Chen, Jiujiu Chen, Shin-Wen Chen, Guangping Chen, Dapeng Chen, Ximei Chen, Renwei Chen, Jianfei Chen, Yulu Chen, Yu-Chi Chen, Jia-De Chen, Rongfang Chen, She Chen, Zetian Chen, Tianran Chen, Emily Chen, Baoxiang Chen, Ya-Chun Chen, Dongxue Chen, Wei-xian Chen, Danmei Chen, Ceshi Chen, Junling Chen, Xia Chen, Daoyuan Chen, Yongbin Chen, Chi-Yu Chen, Dian Chen, Xiuxiu Chen, Bo-Fang Chen, Fangyuan Chen, Jin-An Chen, Xiaojuan Chen, Zhuohui Chen, Junqi Chen, Lina Chen, Fangfang Chen, Hanwen Chen, Yilei Chen, Po-Han Chen, Xiaoxiang Chen, Jimei Chen, Guochong Chen, Yanyun Chen, Yifei Chen, Cheng-Yu Chen, Zi-Jiang Chen, Jiayuan Chen, Miaoran Chen, Junshi Chen, Yu-Ying Chen, Pengxiang Chen, Hui-Ru Chen, Yupeng Chen, Ida Y-D Chen, Xiaofeng Chen, Qiqi Chen, Shengnan Chen, Mao-Yuan Chen, Lizhu Chen, Weichan Chen, Xiang-Bin Chen, Hanxi Chen, Sulian Chen, Zoe Chen, Minghong Chen, Chi Chen, Yananlan Chen, Yanzhu Chen, Shiyi Chen, Ze-Xu Chen, Zhiheng Chen, Jia-Mei Chen, Shuqin Chen, Yi-Hau Chen, Danni Chen, Donglong Chen, Xiaomeng Chen, Yidong Chen, Keyu Chen, Hao Chen, Junmin Chen, Wenlong Chen, Yufei Chen, Wanbiao Chen, Mo Chen, Youjia Chen, Xin-Jie Chen, Lanlan Chen, Huapu Chen, Shuaiyin Chen, Jing-Hsien Chen, Hengsheng Chen, Bing-Bing Chen, Fa-Xi Chen, Zhiqiang Chen, Ming-Huang Chen, Liangkai Chen, Li-Jhen Chen, Zhi-Hao Chen, Yinzhu Chen, Guanghong Chen, Gaozhi Chen, Jiakang Chen, Yongke Chen, Guangquan Chen, Li-Hsien Chen, Yiduo Chen, Zongnan Chen, Jing Chen, Meilan Chen, Jin-Shuen Chen, Huanxiong Chen, Yann-Jang Chen, Guozhong Chen, Yu-Bing Chen, Xiaobin Chen, Catherine Qing Chen, Youhu Chen, Hui Mei Chen, L F Chen, Haiyang Chen, Ruilin Chen, Peng Chen, Kailang Chen, Chao Chen, Suipeng Chen, Zemin Chen, Jianlin Chen, Shang-Chih Chen, Yen-Hsieh Chen, Jia-Lin Chen, Chaojin Chen, Minglang Chen, Xiatian Chen, Zeyu Chen, Kang Chen, Mei-Chi Chen, Jihai Chen, Pei Chen, Defang Chen, Zhao Chen, Tianrui Chen, Tingtao Chen, Caressa Chen, Jiwei Chen, Xuerong Chen, Yizhi Chen, XueShu Chen, Mingyue Chen, Huichao Chen, Chun-Chi Chen, Xiaomin Chen, Hetian Chen, Yuxing Chen, Jie-Hua Chen, Chuck T Chen, Yuanjia Chen, Hong Chen, Jianxiong Chen, S Chen, D M Chen, Jiao-Jiao Chen, Gongbo Chen, Xufeng Chen, Xiao-Jun Chen, Harn-Shen Chen, Qiu Jing Chen, Tai-Heng Chen, Pei-Lung Chen, Kaifu Chen, Huang-Pin Chen, Tse-Wei Chen, Yanrong Chen, Xianfeng Chen, Chung-Yung Chen, Yuelei Chen, Qili Chen, Guanren Chen, TsungYen Chen, Yu-Si Chen, Junsheng Chen, Min-Jie Chen, Xin-Ming Chen, Jiabing Chen, Sili Chen, Qinying Chen, Yue Chen, Lin Chen, Xiaoli Chen, Zhuo Chen, Aoshuang Chen, Junyu Chen, Chunji Chen, Yian Chen, Shanchun Chen, Shuen-Ei Chen, Canrong Chen, Shih-Jen Chen, Yaowu Chen, Han Chen, Yih-Chieh Chen, Wei-Cong Chen, Yanfen Chen, Tao Chen, Huangtao Chen, Jingyi Chen, Sheng Chen, Jing-Wen Chen, Gao Chen, Lei-Lei Chen, Kecai Chen, Yao-Shen Chen, Haiyu Chen, W Chen, Xiaona Chen, Cheng-Sheng Chen, X R Chen, Shuangfeng Chen, Jingyuan Chen, Xinyuan Chen, Huanhuan Chen, Mengling Chen, Liang-Kung Chen, Ming-Huei Chen, Hongshan Chen, Cuncun Chen, Qingchao Chen, Yanzi Chen, Lingli Chen, Shiqian Chen, Liangwan Chen, Lexia Chen, Wei-Ting Chen, Zhencong Chen, Tzy-Yen Chen, Mingcong Chen, Honglei Chen, Yuyan Chen, Huachen Chen, Yu Chen, Li-Juan Chen, Aozhou Chen, Xinlin Chen, Wai Chen, Dake Chen, Bo-Sheng Chen, Meilin Chen, Kequan Chen, Hong Yang Chen, Yan Chen, Bowei Chen, Silian Chen, Jian Chen, Yongmei Chen, Ling Chen, Jinbo Chen, Yingxi Chen, Ge Chen, Max Jl Chen, C Z Chen, Weitao Chen, Xiaole L Chen, Yonglu Chen, Shih-Pin Chen, Jiani Chen, Huiru Chen, San-Yuan Chen, Bing Chen, Xiao-ping Chen, Feiyue Chen, Shuchun Chen, Zhaolin Chen, Qianxue Chen, Xiaoyang Chen, Bowang Chen, Yinghui Chen, Ting-Ting Chen, Xiao-Yang Chen, Chi-Yuan Chen, Zhi-zhe Chen, Ting-Tao Chen, Xiaoyun Chen, Min-Hsuan Chen, Kuan-Ting Chen, Yongheng Chen, Wenhao Chen, Shengyu Chen, Kai Chen, Yueh-Peng Chen, Guangju Chen, Minghua Chen, Hong-Sheng Chen, Qingmei Chen, Song-Mei Chen, Limei Chen, Yuqi Chen, Yuyang Chen, Yang-Ching Chen, Yu-Gen Chen, Peizhan Chen, Rucheng Chen, Jin-Xia Chen, Szu-Chieh Chen, Xiaojun Chen, Jialing Chen, Heni Chen, Yi Feng Chen, Sen Chen, Alice Ye A Chen, Wen Chen, Han-Chun Chen, Dawei Chen, Fangli Chen, Ai-Qun Chen, Zhaojun Chen, Gong Chen, Yishan Chen, Zhijing Chen, Qiuxuan Chen, Miao-Der Chen, Fengwu Chen, Weijie Chen, Weixin Chen, Mei-Ling Chen, Hung-Po Chen, Rui-Pei Chen, Nian-Ping Chen, Tielin Chen, Canyu Chen, Xiaotao Chen, Nan Chen, C Chen, Juanjuan Chen, Xinan Chen, Jiaping Chen, Xiao-Lin Chen, Jianping Chen, Yayun Chen, Le Qi Chen, Jen-Sue Chen, Mechi Chen, Miao-Yu Chen, Zhou Chen, Szu-Han Chen, Zhen Bouman Chen, Baihua Chen, Qingao Chen, Shao-Ke Chen, Feng Chen, Jiawen Chen, Lianmin Chen, Sifeng Chen, Mengxia Chen, Xueli Chen, Can Chen, Yibo Chen, Zinan Chen, Lei-Chin Chen, Carol Chen, Yanlin Chen, Zihang Chen, Zaozao Chen, Haiqin Chen, Lu Hua Chen, Zhiyuan Chen, Meiyu Chen, Du-Qun Chen, Keying Chen, Naifei Chen, Peixian Chen, Jin-Ran Chen, Yijun Chen, Yulin Chen, Fumei Chen, Zhanfei Chen, Zhe-Yu Chen, Xin-Qi Chen, Valerie Chen, Ru Chen, Mengqing Chen, Runsheng Chen, Tong Chen, Tan-Zhou Chen, Suet Nee Chen, Cuicui Chen, Yifan Chen, Tian Chen, XiangFan Chen, Lingyi Chen, Hsiao-Yun Chen, Kenneth L Chen, Ni Chen, Huishan Chen, Fang-Yu Chen, Ken Chen, Yongshen Chen, Qiong Chen, Mingfeng Chen, Shoudeng Chen, Qiao Chen, Qian Chen, Yuebing Chen, Xuehua Chen, Chang-Lan Chen, Min-Hu Chen, Hongbin Chen, Jingming Chen, Qing Chen, Yu-Fan Chen, Hao-Zhu Chen, Yunjia Chen, Zhongjian Chen, Mingyi Chen, Qianping Chen, Huaxin Chen, Dong-Mei Chen, Peize Chen, Leijie Chen, Ming-Yu Chen, Jiaxuan Chen, Xiao-chun Chen, Wei-Min Chen, Ruisen Chen, Xuanwei Chen, Guiquan Chen, Minyan Chen, Feng-Ling Chen, Yili Chen, Alvin Chen, Xiaodong Chen, Bohong Chen, Chih-Ping Chen, Xuanjing Chen, Shuhui Chen, Ming-Hong Chen, Tzu-Yu Chen, Brian Chen, Bowen Chen, Kai-En Chen, Szu-Chia Chen, Guangchun Chen, Fang Chen, Chuyu Chen, Haotian Chen, Xiaoting Chen, Shaoliang Chen, Chun-Houh Chen, Shali Chen, Yu-Cheng Chen, Zhijun Chen, B Chen, Yuan Chen, Zhanglin Chen, Chaoran Chen, Xing-Long Chen, Zhinan Chen, Yu-Hui Chen, Yuquan Chen, Andrew Chen, Fengming Chen, Guangyong Chen, Jun Chen, Wenshuo Chen, Yi-Guang Chen, Jing-Yuan Chen, Kuangyang Chen, Mingyang Chen, Shaofei Chen, Weicong Chen, Gonghai Chen, Di-Long Chen, Limin Chen, Jishun Chen, Yunfei Chen, Caihong Chen, Tongsheng Chen, Ligang Chen, Wenqin Chen, Shiyu Chen, Xiaoyong Chen, Christina Y Chen, Yushan Chen, Ginny I Chen, Guo-Jun Chen, Xianzhen Chen, Wanling Chen, Kuan-Jen Chen, Maorong Chen, Kaijian Chen, Erqu Chen, Shen Chen, Quan Chen, Zian Chen, Yi-Lin Chen, Juei-Suei Chen, Yi-Ting Chen, Huaiyong Chen, Minjian Chen, Qianzhi Chen, Jiahao Chen, Xikun Chen, Juan-Juan Chen, Xiaobo Chen, Tianzhen Chen, Ziming Chen, Qianbo Chen, Jindong Chen, Jiu-Chiuan Chen, Yinwei Chen, Carl Pc Chen, Li-Hsin Chen, Jenny Chen, Ruoyan Chen, Yanqiu Chen, Yen-Fu Chen, Haiyan Chen, Zhebin Chen, Si Chen, Jian-Qiao Chen, Yang-Yang Chen, Ningning Chen, Zhifeng Chen, Zhenyi Chen, Hangang Chen, Zihe Chen, Mengdi Chen, Zhichuan Chen, Xu Chen, Huixi Chen, Weitian Chen, Bao-Sheng Chen, Tien-Hsing Chen, Junchen Chen, Yan-yan Chen, Xiangning Chen, Sijia Chen, Xinyan Chen, Kuan-Yu Chen, Qunxiang Chen, Guangliang Chen, Bing-Huei Chen, Fei Xavier Chen, Zhangcheng Chen, Qianming Chen, Xianze Chen, Yanhua Chen, Qinghao Chen, Yanting Chen, Sijuan Chen, Chen-Mei Chen, Qiankun Chen, Jianan Chen, Rong Chen, Xiankai Chen, Kaina Chen, Gui-Hai Chen, Y-D Ida Chen, Quanjiao Chen, Shuang Chen, Lichang Chen, Xinyi Chen, Yong-Jun Chen, Zhaoli Chen, Chunnuan Chen, Jui-Chang Chen, Zhiang Chen, Weirui Chen, Zhenguo Chen, Jennifer F Chen, Zhiguo Chen, Kunmei Chen, Huan-Xin Chen, Mengyan Chen, Dongrong Chen, Siyue Chen, Xianyue Chen, Chien-Lun Chen, YiChung Chen, Guang Chen, Quanwei Chen, Zongming E Chen, Ting-Huan Chen, Michael C Chen, Jinli Chen, Beth L Chen, Yuh-Lien Chen, Peihong Chen, Qiaoling Chen, Jiale Chen, Shufeng Chen, Xiaowan Chen, Xian-Kai Chen, Ling-Yan Chen, Yen-Ling Chen, Guiying Chen, Guangyi Chen, Yuling Chen, Xiangqiu Chen, Haiquan Chen, Cuie Chen, Gui-Lai Chen, R Chen, Heng-Yu Chen, Yongxun Chen, Fuxiang Chen, Mingmei Chen, Hua-Pu Chen, Yulong Chen, Zhitao Chen, Guohua Chen, Cheng-Yi Chen, Hongxu Chen, Yuanhao Chen, Qichen Chen, Hualin Chen, Guo-Rong Chen, Rongsheng Chen, Xuesong Chen, Wei-Fei Chen, Bao-Bao Chen, Anqi Chen, Yi-Han Chen, Ying-Jung Chen, Jinhuang Chen, Guochao Chen, Lei Chen, S N Chen, Songfeng Chen, Chenyang Chen, Xing Chen, Letian Chen, Meng Xuan Chen, Xiang-Mei Chen, Xiaoyan Chen, Yi-Heng Chen, D F Chen, Bang Chen, Jiaxu Chen, Wei Chen, Sihui Chen, Shu-Hua Chen, I-M Chen, Xuxin Chen, Zhangxin Chen, Jin Chen, Yin-Huai Chen, Wuyan Chen, Bingqing Chen, Bao-Fu Chen, Zhen-Hua Chen, Dan Chen, Zhe-Sheng Chen, Ranyun Chen, Wanyin Chen, Xueyan Chen, Xiaoyu Chen, Tai-Tzung Chen, Xiaofang Chen, Yongxing Chen, Yanghui Chen, Hekai Chen, Yuanwei Chen, Liang Chen, Hui-Jye Chen, Chengchun Chen, Han-Bin Chen, Shuaijie Chen, Yibing Chen, Kehui Chen, Shuhai Chen, Xueling Chen, Ying-Jie Chen, Qingxing Chen, Fang-Zhi Chen, Mei-Hua Chen, Yutong Chen, Lixian Chen, Alex Chen, Qiuhong Chen, Qiuxia Chen, Liping Chen, Hou-Tsung Chen, Zhanghua Chen, Chun-Fa Chen, Chian-Feng Chen, Benjamin P C Chen, Yewei Chen, Mu-Hong Chen, Jianshan Chen, Xiaguang Chen, Meiling Chen, Heng Chen, Ying-Hsiang Chen, Longyun Chen, Dengpeng Chen, Jichong Chen, Shixuan Chen, Liaobin Chen, Everett H Chen, ZhuoYu Chen, Qihui Chen, Zhiyong Chen, Nuan Chen, Hongmei Chen, Guiqian Chen, Yan Q Chen, Fengling Chen, Hung-Chang Chen, Zhenghong Chen, Chengsheng Chen, Hegang Chen, Huei-Yan Chen, Liutao Chen, Meng-Lin Chen, Xi Chen, Qing-Juan Chen, Linna Chen, Xiaojing Chen, Lang Chen, Gengsheng Chen, Fengrong Chen, Weilun Chen, Shi Chen, Wan-Yi Chen, On Chen, Yufeng Chen, Hui-Zhao Chen, Bo-Rui Chen, Kangyong Chen, Ruixiang Chen, Weiyong Chen, Ning-Hung Chen, Meng-Ping Chen, Huimei Chen, Ying Chen, Kang-Hua Chen, Pei-zhan Chen, Liujun Chen, Hanqing Chen, Chengchuan Chen, Guojun Chen, Yongfa Chen, Li Chen, Mingling Chen, Jacinda Chen, Jinlun Chen, Kun Chen, Yi Chen, Chiung Mei Chen, Shaotao Chen, Tianhong Chen, Chanjuan Chen, Yuhao Chen, Huizhi Chen, Chung-Hsing Chen, Qiuchi Chen, Haoting Chen, Luzhu Chen, Huanhua Chen, Long Chen, Jiang-hua Chen, Kai-Yang Chen, Jing-Zhou Chen, Yong-Syuan Chen, Lifang Chen, Ruonan Chen, Meimei Chen, Qingchuan Chen, Liugui Chen, Shaokun Chen, Yi-Yung Chen, Jintian Chen, Xuhui Chen, Dongyan Chen, Huei-Rong Chen, Xianmei Chen, Jinyan Chen, Yuxi Chen, Qingqing Chen, Weibo Chen, Qiwei Chen, Mingxia Chen, Hongmin Chen, Jiahui Chen, Yen-Jen Chen, Zihan Chen, Guozhou Chen, Fei Chen, Zhiting Chen, Denghui Chen, Gary Chen, Hongli Chen, Jack Chen, Zhigang Chen, Lie Chen, Siyuan Chen, Haojie Chen, Qing-Wei Chen, Maochong Chen, Mei-Jie Chen, Haining Chen, Xing-Zhen Chen, Weiqing Chen, Huanchun Chen, C-Y Chen, Tzu-An Chen, Jen-Hau Chen, Xiaojie Chen, Dongquan Chen, Gao B Chen, Daijie Chen, Zixi Chen, Lingfeng Chen, Jiayi Chen, Zan Chen, Shuming Chen, Mei-Hsiu Chen, Xueqin Chen, Huan Chen, Xiaoqing Chen, Hui-Xiong Chen, Ruoying Chen, Deying Chen, Huixian Chen, Zhezhe Chen, Lu Chen, Xiaolong Chen, Si-Yue Chen, Xinwei Chen, Wentao Chen, Yucheng Chen, Jiajing Chen, Allen Menglin Chen, Chixiang Chen, Shiqun Chen, Wenwu Chen, Chin-Chuan Chen, Ningbo Chen, Hsin-Hung Chen, Shenglan Chen, Jia-Feng Chen, Changya Chen, ZhaoHui Chen, Guo Chen, Juhai Chen, Xiao-Quan Chen, Cuimin Chen, Yongshuo Chen, Sai Chen, Fengyang Chen, Siteng Chen, Hualan Chen, Lian Chen, Yuan-Hua Chen, Minjie Chen, Shiyan Chen, Z Chen, Zhengzhi Chen, Jonathan Chen, H Chen, You-Yue Chen, Shu-Gang Chen, Hsuan-Yu Chen, Hongyue Chen, Weiyi Chen, Jiaqi Chen, Chengde Chen, Shufang Chen, Ze-Hui Chen, Xiuping Chen, Zhuojia Chen, Zhouji Chen, Lidian Chen, Yilan Chen, Kuan-Ling Chen, Alon Chen, Zi-Yue Chen, Hongmou Chen, Fang-Zhou Chen, Jianzhou Chen, Wenbiao Chen, Yujie Chen, Zhijian Chen, Zhouqing Chen, Xiuhui Chen, Qingguang Chen, Hanbei Chen, Qianyu Chen, Mengping Chen, Yongqi Chen, Sheng-Yi Chen, Siqi Chen, Yelin Chen, Shirui Chen, Yuan-Tsong Chen, Dongyin Chen, Lingxue Chen, Long-Jiang Chen, Yunshun Chen, Yahong Chen, Yaosheng Chen, Zhonghua Chen, Jingyao Chen, Pei-Yin Chen, Fusheng Chen, Xiaokai Chen, Shuting Chen, Miao-Hsueh Chen, Y-D I Chen, Zijie Chen, Haozhu Chen, Haodong Chen, Xiong Chen, Wenxi Chen, Feng-Jung Chen, Shangwu Chen, Zhiping Chen, Zhang-Yuan Chen, Wentong Chen, Ou Chen, Ruiming Chen, Xiyu Chen, Shuqiu Chen, Xiaoling Chen, Ruimin Chen, Hsiao-Wang Chen, Dongli Chen, Haibo Chen, Yiyun Chen, Luming Chen, Wenting Chen, Chongyang Chen, Qingqiu Chen, Wen-Pin Chen, Yuhui Chen, Lingxia Chen, Jun-Long Chen, Xingyu Chen, Haotai Chen, Bang-dang Chen, Qiuwen Chen, Rui Chen, K C Chen, Zhixuan Chen, Gaoyu Chen, Yitong Chen, Tzu-Ju Chen, Jingqing Chen, Huiqun Chen, Runsen Chen, Michelle Chen, Hanyong Chen, Xiaolin Chen, Ke Chen, Yangchao Chen, Y D I Chen, Jinghua Chen, Jia Wei Chen, Man-Hua Chen, H T Chen, Zheyi Chen, Lihong Chen, Guangyao Chen, Rujun Chen, Ming-Fong Chen, Haiyun Chen, Dexiong Chen, Huiqin Chen, Ching Kit Chen, En-Qiang Chen, Wanjia Chen, Xiangliu Chen, Meiting Chen, Szu-Chi Chen, Yii-der Ida Chen, Jian-Hua Chen, Yanjie Chen, Yingying Chen, Paul Chih-Hsueh Chen, Si-Ru Chen, Mingxing Chen, Rui-Zhen Chen, Changjie Chen, Qu Chen, Yintong Chen, Jingde Chen, Mao Chen, Xinghai Chen, Mei-Chih Chen, Xueqing Chen, Chun-An Chen, Cheng Chen, Ruijing Chen, Huayu Chen, Yunqin Chen, Yan-Gui Chen, Ruibing Chen, Size Chen, Qi-An Chen, Yuan-Zhen Chen, J Chen, Heye Chen, T Chen, Junpeng Chen, Tan-Huan Chen, Shuaijun Chen, Hao Yu Chen, Fahui Chen, Lan Chen, Dong-Yi Chen, Xianqiang Chen, Shi-Sheng Chen, Qiao-Yi Chen, Pei-Chen Chen, Xueying Chen, Yi-Wen Chen, Guohong Chen, Zhiwei Chen, Zuolong Chen, Erfei Chen, Yuqing Chen, Zhenyue Chen, Qiongyun Chen, Jianghua Chen, Yingji Chen, Xiuli Chen, Xiaowei Chen, Hengyu Chen, Sheng-Xi Chen, Haiyi Chen, Shao-Peng Chen, Yi-Ru Chen, Zhaoran Chen, Xiuyan Chen, Jinsong Chen, Sunny Chen, Xiaolan Chen, S-D Chen, Ruofan Chen, Qiujing Chen, Yun Chen, Wei-Cheng Chen, Chun-Wei Chen, Liechun Chen, Lulu Chen, Hsiu-Wen Chen, Yanping Chen, Jiayao Chen, Xuejiao Chen, Guan-Wei Chen, Yusi Chen, Yijiang Chen, Chi-Hua Chen, Qixian Chen, Ziqing Chen, Peiyou Chen, Chunhai Chen, Zheren Chen, Qiuyun Chen, Xiaorong Chen, Chaoqun Chen, Dan-Dan Chen, Xuechun Chen, Yafang Chen, Mystie X Chen, Jina Chen, Wei-Kai Chen, Yule Chen, Bo Chen, Kaili Chen, Junqin Chen, Jia Min Chen, Chen Chen, Guoliang Chen, Xiaonan Chen, Guangjie Chen, Xiao Chen, Jeanne Chen, Danyang Chen, Minjiang Chen, Jiyuan Chen, Zheng-Zhen Chen, Shou-Tung Chen, Ouyang Chen, Xiu Chen, H Q Chen, Peiyu Chen, Yuh-Min Chen, Youmeng Chen, Shuoni Chen, Peiqin Chen, Xinji Chen, Chih-Ta Chen, Shang-Hung Chen, Robert Chen, Suet N Chen, Yun-Tzu Chen, Suming Chen, Ye Chen, Yao Chen, Yi-Fei Chen, Ruixue Chen, Tianhang Chen, Suning Chen, Jingnan Chen, Xiaohong Chen, Kun-Chieh Chen, Tuantuan Chen, Mei Chen, He-Ping Chen, Zhi Bin Chen, Yuewu Chen, Mengying Chen, Po-See Chen, Xue Chen, Jian-Jun Chen, Xiyao Chen, Jeremy J W Chen, Jiemei Chen, Daiwen Chen, Christina Yingxian Chen, Qinian Chen, Chih-Wei Chen, Wensheng Chen, Yingcong Chen, Zhishi Chen, Duo Chen, Jiansu Chen, Keping Chen, Min Chen, Yi-Hui Chen, Yun-Ju Chen, Gaoyang Chen, Renjin Chen, Kui Chen, Shuai-Ming Chen, Hui-Fen Chen, Zi-Yun Chen, Shao-Yu Chen, Meiyang Chen, Jiahua Chen, Zongyou Chen, Yen-Rong Chen, Huaping Chen, Yu-Xin Chen, Bohe Chen, Kehua Chen, Zilin Chen, Zhang-Liang Chen, Ziqi Chen, Yinglian Chen, Hui-Wen Chen, Peipei Chen, Baolin Chen, Zugen Chen, Kangzhen Chen, Yanhan Chen, Sung-Fang Chen, Zheping Chen, Zixuan Chen, Jiajia Chen, Yuanjian Chen, Lili Chen, Xiangli Chen, Ban Chen, Yuewen Chen, X Chen, Yan-Qiong Chen, Chider Chen, Yung-Hsiang Chen, Hanlin Chen, Xiangjun Chen, Haibing Chen, Le Chen, Xuan Chen, Xue-Ying Chen, Zexiao Chen, Chen-Yu Chen, Zhe-Ling Chen, Fan Chen, Hsin-Yi Chen, Feilong Chen, Zilong Chen, Yi-Jen Chen, Zhiyun Chen, Ning Chen, Wenxu Chen, Chuanbing Chen, Yaxi Chen, Yi-Hong Chen, Eleanor Y Chen, Yuexin Chen, Kexin Chen, Shoujun Chen, Yen-Ju Chen, Yu-Chuan Chen, Yen-Teen Chen, Bao-Ying Chen, Xiaopeng Chen, Danli Chen, Katharine Y Chen, Jingli Chen, Qianyi Chen, Zihua Chen, Ya-xi Chen, Xuanxu Chen, Chung-Hung Chen, Yajie Chen, Cindi Chen, Hua Chen, Shuliang Chen, Elizabeth H Chen, Gen-Der Chen, Bingyu Chen, Keyang Chen, Siyu S Chen, Xinpu Chen, Yau-Hung Chen, Hsueh-Fen Chen, Han-Hsiang Chen, Wei Ning Chen, Guopu Chen, Zhujun Chen, Yurong Chen, Yuxian Chen, Wanjun Chen, Qiu-Jing Chen, Qifang Chen, Yuhan Chen, Jingshen Chen, Zhongliang Chen, Ching-Hsuan Chen, Zhaoyao Chen, Yongning Chen, Marcus Y Chen, Ping Chen, Junfei Chen, Yung-Wu Chen, Xueting Chen, Yingchun Chen, Wan-Yan Chen, Yuxin Chen, Yisheng Chen, Chun-Yuan Chen, Yulian Chen, Yan-Jun Chen, Guoxun Chen, Ding Chen, Yu-Fen Chen, Jason A Chen, Shuyi Chen, Cuilan Chen, Ruijuan Chen, Kevin Chen, Xuanmao Chen, Shen-Ming Chen, Ya-Nan Chen, Sean Chen, Zhaowei Chen, Xixi Chen, Yu-Chia Chen, Xuemin Chen, Binlong Chen, Weina Chen, Xuemei Chen, Di Chen, P P Chen, Yubin Chen, Chunhua Chen, Li-Chieh Chen, Ping-Chung Chen, Zhihao Chen, Xinyang Chen, Chan Chen, Yan Jie Chen, Shi-Qing Chen, Ivy Xiaoying Chen, Ying-Cheng Chen, Jia-Shun Chen, Shao-Wei Chen, Aiping Chen, Dexiang Chen, Qianfen Chen, Hongyu Chen, Wei-Kung Chen, Danlei Chen, Hongen Chen, Shipeng Chen, Jake Y Chen, Dongsheng Chen, Chien-Ting Chen, Shouzhen Chen, Hehe Chen, Yu-Tung Chen, Yilin Chen, Joy J Chen, Zhong Chen, Zhenfeng Chen, Zhongzhu Chen, Feiyang Chen, Xingxing Chen, Keyan Chen, Huimin Chen, Guanyu Chen, D. Chen, Dianke Chen, Zhigeng Chen, Sien-Tsong Chen, Yii-Der Chen, Chi-Yun Chen, Beidong Chen, Wu-Xian Chen, Zhihang Chen, Yuanqi Chen, Jianhua Chen, Xian Chen, Xiangding Chen, Jingteng Chen, Shuaiyu Chen, Xue-Mei Chen, Yu-Han Chen, Hongqiao Chen, Weili Chen, Yunzhu Chen, Guo-qing Chen, Miao Chen, Zhi Chen, Junhui Chen, Jing-Xian Chen, Zhiquan Chen, Shuhuang Chen, Shaokang Chen, Irwin Chen, Xiang Chen, Chuo Chen, Siting Chen, Keyuan Chen, Xia-Fei Chen, Zhihai Chen, Yuanyu Chen, Po-Sheng Chen, Qingjiang Chen, Yi-Bing Chen, Rongrong Chen, Katherine C Chen, Shaoxing Chen, Lifen Chen, Luyi Chen, Sisi Chen, Ning-Bo Chen, Yihong Chen, Guanjie Chen, Li-Hua Chen, Xiao-Hui Chen, Ting Chen, Chun-Han Chen, Xuzhuo Chen, Junming Chen, Zheng Chen, Wen-Jie Chen, Bingdi Chen, Jiang Ye Chen, Yanbin Chen, Duoting Chen, Shunyou Chen, Shaohua Chen, Jien-Jiun Chen, Jiaohua Chen, Shaoze Chen, Yifang Chen, Chiqi Chen, Yen-Hao Chen, Rui-Fang Chen, Hung-Sheng Chen, Kuey Chu Chen, Y S Chen, Xijun Chen, Chaoyue Chen, Heng-Sheng Chen, Lianfeng Chen, Yen-Ching Chen, Yuhong Chen, Yixin Chen, Yuanli Chen, Cancan Chen, Yanming Chen, Yajun Chen, Chaoping Chen, F-K Chen, Menglan Chen, Zi-Yang Chen, Yongfang Chen, Hsin-Hong Chen, Hongyan Chen, Chao-Wei Chen, Jijun Chen, Xiaochun Chen, Yazhuo Chen, Zhixin Chen, YongPing Chen, Jui-Yu Chen, Mian-Mian Chen, Liqiang Chen, Y P Chen, D-F Chen, Jinhao Chen, Yanyan Chen, Chang-Zheng Chen, Shao-long Chen, Guoshun Chen, Lo-Yun Chen, Yen-Lin Chen, Bingqian Chen, Dafang Chen, Yi-Chung Chen, Liming Chen, Qiuli Chen, Shuying Chen, Chih-Mei Chen, Renyu Chen, Wei-Hao Chen, Lihua Chen, Hang Chen, Hai-Ning Chen, Hu Chen, Yu-Fu Chen, Yalan Chen, Wan-Tzu Chen, Benjamin Jieming Chen, Yingting Chen, Jiacai Chen, Ning-Yuan Chen, Shuo-Bin Chen, Yu-Ling Chen, Jian-Kang Chen, Hengsan Chen, Yu-Ting Chen, Y Chen, Qingjie Chen, Jiong Chen, Chaoyi Chen, Yunlin Chen, Gang Chen, Hui-Chun Chen, Li-Tzong Chen, Zhangliang Chen, Qiangpu Chen, Xianbo Chen, Jinxuan Chen, Hebing Chen, Ran Chen, Zhehui Chen, Carol X-Q Chen, Yuping Chen, Xiangyu Chen, Xinyu Chen, Qianyun Chen, Junyi Chen, B-S Chen, Zhesheng Chen, Man Chen, Dali Chen, Danyu Chen, Huijiao Chen, Naisong Chen, Qitong Chen, Chueh-Tan Chen, Kai-Ming Chen, Jiarou Chen, Huang Chen, Chunjie Chen, Weiping Chen, Po-Min Chen, Guang-Chao Chen, Danxia Chen, Youran Chen, Chuanzhi Chen, Peng-Cheng Chen, Wen-Tsung Chen, Linxi Chen, Si-guo Chen, Zike Chen, Zhiyu Chen, Wanting Chen, Jiangxia Chen, Wenhua Chen, Roufen Chen, Shi-You Chen, Fang-Pei Chen, Chu Chen, Feifeng Chen, Chunlin Chen, Yunwei Chen, Wenbing Chen, Xuejun Chen, Meizhen Chen, Li Jia Chen, Tianhua Chen, Xiangmei Chen, Kewei Chen, Yuh-Ling Chen, Dejuan Chen, Jiyan Chen, Xinzhuo Chen, Yue-Lai Chen, Hsiao-Jou Cortina Chen, Weiqin Chen, Huey-Miin Chen, Elizabeth Suchi Chen, Kai-Ting Chen, Lizhen Chen, Xiaowen Chen, Chien-Yu Chen, Lingjun Chen, Gonglie Chen, Jiao Chen, Zhuo-Yuan Chen, Wei-Peng Chen, Xiangna Chen, Jiade Chen, Lanmei Chen, Siyu Chen, Kunpeng Chen, Hung-Chi Chen, Jia Chen, Shuwen Chen, Siqin Chen, Zhenlei Chen, Wen-Yi Chen, Si-Yuan Chen, Yidan Chen, Tianfeng Chen, Fu Chen, Leqi Chen, Jiamiao Chen, Shasha Chen, Qingyi Chen, Ben-Kuen Chen, Haitao Chen, Qi Chen, Yihao Chen, Yunfeng Chen, Elizabeth S Chen, Yiming Chen, Youwei Chen, Lichun Chen, Yanfei Chen, Hongxing Chen, Muh-Shy Chen, Yingyu Chen, Weihong Chen, Ming Chen, Kelin Chen, Duan-Yu Chen, Shi-Yi Chen, Shih-Yu Chen, Yanling Chen, Shuanghui Chen, Ya Chen, Yusheng Chen, Yuting Chen, Shiming Chen, Xinqiao Chen, Hongbo Chen, Mien-Cheng Chen, Jiacheng Chen, Herbert Chen, Ji-ling Chen, Sun Chen, Chen-Sheng Chen, Na Chen, Chih-Yi Chen, Wenfang Chen, Yii-Der I Chen, Qinghua Chen, Shuai Chen, Hsi-Hsien Chen, F Chen, Guo-Chong Chen, Zhe Chen, Beijian Chen, Roger Chen, You-Ming Chen, Hongzhi Chen, Zhen-Yu Chen, Xianxiong Chen, Chang Chen, Chujie Chen, Chuannan Chen, Kan Chen, Lu-Biao Chen, Yupei Chen, Qiu-Sheng Chen, Shangduo Chen, Yuan-Yuan Chen, Yundai Chen, Binzhen Chen, Cai-Long Chen, Yen-Chen Chen, Xue-Xin Chen, Yanru Chen, Chunxiu Chen, Yifa Chen, Xingdong Chen, Ruey-Hwa Chen, Shangzhong Chen, Ching-Wen Chen, Danna Chen, Jingjing Chen, Yafei Chen, Dandan Chen, Pei-Yi Chen, Shan Chen, Guanghao Chen, Longqing Chen, Yen-Cheng Chen, Zhanjuan Chen, Jinguo Chen, Zhongxiu Chen, Rui-Min Chen, Shunde Chen, Xun Chen, Jianmin Chen, Linyi Chen, Ying-Ying Chen, Chien-Hsiun Chen, Li-Nan Chen, Yu-Ming Chen, Qianqian Chen, Xue-Yan Chen, Shengdi Chen, Huali Chen, Xinyue Chen, Ching-Yi Chen, Honghai Chen, Baosheng Chen, Pingguo Chen, Yike Chen, Yuxiang Chen, Qing-Hui Chen, Yuanwen Chen, Yongming Chen, Zongzheng Chen, Ruiying Chen, Huafei Chen, Tingen Chen, Zhouliang Chen, Shih-Yin Chen, Shanyuan Chen, Yiyin Chen, Feiyu Chen, Zitao Chen, Constance Chen, Zhoulong Chen, Haide Chen, Jiang Chen, Ray-Jade Chen, Shiuhwei Chen, Chih-Chieh Chen, Chaochao Chen, Lijuan Chen, Qianling Chen, Jian-Min Chen, Xihui Chen, Yuli Chen, Wu-Jun Chen, Diyun Chen, Alice P Chen, Jingxuan Chen, Chiung-Mei Chen, Shibo Chen, M L Chen, Lena W Chen, Xiujuan Chen, Christopher S Chen, Yeh Chen, Xingyong Chen, Feixue Chen, Boyu Chen, Weixian Chen, Tingting Chen, Bosong Chen, Junjie Chen, Han-Min Chen, Szu-Yun Chen, Qingliang Chen, Huatao Chen, Bin Chen, L B Chen, Xuanyi Chen, Chun Chen, Dong Chen, Yinjuan Chen, Jiejian Chen, Lu-Zhu Chen, Alex F Chen, Pei-Chun Chen, Chien-Jen Chen, Y M Chen, Xiao-Chen Chen, Tania Chen, Yang Chen, Yangxin Chen, Mark I-Cheng Chen, Haiming Chen, Shuo Chen, Yong Chen, Hsiao-Tan Chen, Erzhen Chen, Jiaye Chen, Fangyan Chen, Guanzheng Chen, Haoyun Chen, Jiongyu Chen, Baofeng Chen, Yuqin Chen, Juan Chen, Haobo Chen, Shuhong Chen, Fu-Shou Chen, Wei-Yu Chen, Haw-Wen Chen, Feifan Chen, Deqian Chen, Linlin Chen, Xiaoshan Chen, Hui Chen, Wenwen Chen, Yanli Chen, Yuexuan Chen, Xiaoyin Chen, Yen-Chang Chen, Tiantian Chen, Ruiai Chen, Alice Y Chen, Jinglin Chen, Zifan Chen, Wantao Chen, Shanshan Chen, Jianjun Chen, Xiaoyuan Chen, Xuefei Chen, Runfeng Chen, Weisan Chen, Guangnan Chen, Junpan Chen, An Chen, Lankai Chen, Yiding Chen, Tianpeng Chen, Ya-Ting Chen, Lijin Chen, Ching-Yu Chen, Y Eugene Chen, Guanglong Chen, Rongyuan Chen, Yali Chen, Yanan Chen, Liyun Chen, Shuai-Bing Chen, Zhixue Chen, Xiaolu Chen, Xiao-he Chen, Hongxiang Chen, Bing-Feng Chen, Gary K Chen, Xiaohui Chen, Jin-Wu Chen, Qiuxiang Chen, Huaqiu Chen, X Steven Chen, Xiaoqian Chen, Chao-Jung Chen, Zhengjun Chen, Yong-Ping Chen, Zhelin Chen, Xuancai Chen, Yi-Hsuan Chen, Daiyu Chen, Gui Mei Chen, Hongqi Chen, Zhizhong Chen, Mengting Chen, Guofang Chen, Jian-Guo Chen, Hou-Zao Chen, Yuyao Chen, Lixia Chen, Yu-Yang Chen, Zhengling Chen, Qinfen Chen, Jiajun Chen, Xue-Qing Chen, Shenghui Chen, Yii-Derr Chen, Linbo Chen, Yanjing Chen, S Pl Chen, Chi-Long Chen, Jiawei Chen, Rong-Hua Chen, Shu-Fen Chen, Yu-San Chen, Ying-Lan Chen, Xiaofen Chen, Weican Chen, Xin Chen, Yumei Chen, Ruohong Chen, You-Xin Chen, Tse-Ching Chen, Xiancheng Chen, Yu-Pei Chen, Weihao Chen, Baojiu Chen, Haimin Chen, Zhihong Chen, Jion Chen, Yi-Chun Chen, Ping-Kun Chen, Wan Jun Chen, Willian Tzu-Liang Chen, Qingshi Chen, Ren-Hui Chen, Weihua Chen, Hanjing Chen, Guihao Chen, Xiao-Qing Chen, Po-Yu Chen, Liangsheng Chen, Fred K Chen, Haiying Chen, Tzu-Chieh Chen, Wei J Chen, Zhen Chen, Shu Chen, Jie Chen, Chung-Hao Chen, Zi-Qing Chen, Yu-Xia Chen, Weijia Chen, Ming-Han Chen, Yaodong Chen, Yong-Zhong Chen, Jinquan Chen, Haijiao Chen, Tom Wei-Wu Chen, Jingzhou Chen, Ya-Peng Chen, Shiwei Chen, Xiqun Chen, Yingjie Chen, Wenjun Chen, Linjie Chen, Hung-Chun Chen, Xiaoping Chen, Haoran Chen, Qiang Chen, Sy-Jou Chen, Y U Chen, Weineng Chen, Li-hong Chen, Cheng-Fong Chen, Yajing Chen, Song Chen, Qiaoli Chen, Yiru Chen, Guang-Yu Chen, Zhi-bin Chen, Deyu Chen, C Y Chen, Junhong Chen, Yonghui Chen, Chaoli Chen, Syue-Ting Chen, Sufang Chen, I-Chun Chen, Shangsi Chen, Xiao-Wei Chen, Qinsheng Chen, Zhao-Xia Chen, Yun-Yu Chen, Chi-Chien Chen, Wenxing Chen, Meng Chen, Zixin Chen, Jianhui Chen, Yuanyuan Chen, Jiamin Chen, Wei-Wei Chen, Xingyi Chen, Yen-Ni Chen, Danxiang Chen, Po-Ju Chen, Mei-Ru Chen, Ziying Chen, E S Chen, Tailai Chen, Qingyang Chen, Miaomiao Chen, Shuntai Chen, Wei-Lun Chen, Xuanli Chen, Zhengwei Chen, Fengju Chen, Chengwei Chen, Xujia Chen, Faye H Chen, Xiaoxiao Chen, Shengpan Chen, Shin-Yu Chen, Shiyao Chen, Yuan-Shen Chen, Shengzhi Chen, Shaohong Chen, Ching-Jung Chen, Zihao Chen, Kaiquan Chen, Duo-Xue Chen, Xiaochang Chen, Siping Chen, Rongfeng Chen, Jiali Chen, Hsin-Han Chen, Xiaohua Chen, Delong Chen, Wenjie Chen, Huijia Chen, Yunn-Yi Chen, Siyi Chen, Zhengming Chen, Chu-Huang Chen, Zhuchu Chen, Yuanbin Chen, Jinyong Chen, Yunzhong Chen, Pan Chen, Bihong T Chen, Yunyun Chen, Shujuan Chen, M Chen, Mulan Chen, Jiaren Chen, Zechuan Chen, Jian-Qing Chen, Wei-Hui Chen, Lifeng Chen, Geng Chen, Yan-Ming Chen, Zhijian J Chen, Honghui Chen, Wenfan Chen, Zhongbo Chen, Rouxi Chen, Ye-Guang Chen, Zhimin Chen, Tzu-Ting Chen, Xiaolei Chen, Ziyuan Chen, Shilan Chen, Ruiqi Chen, Xiameng Chen, Huijie Chen, Jiankui Chen, Yuhang Chen, Jianzhong Chen, Wen-Qi Chen, Fa Chen, Shu-Jen Chen, Li-Mien Chen, Xing-Lin Chen, Xuxiang Chen, Erbao Chen, Jiaqing Chen, Hsiang-Wen Chen, Jiaxin Chen
articles
Xiao-Na Zeng, Zi-wen Liu, Jing Zhou +5 more · 2026 · Life sciences · Elsevier · added 2026-04-24
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associate Show more
Prednisone is used clinically during pregnancy. This study investigates whether prenatal prednisone exposure (PPE) affects susceptibility to high-fat diet (HFD)-induced metabolic dysfunction-associated fatty liver disease (MAFLD) in adult offspring and explores underlying mechanisms. Pregnant Kunming mice were administered prednisone (0.25 or 1 mg/kg; PPE-L or PPE-H) or vehicle control (5% carboxymethyl cellulose; Ctrl) by daily gavage from gestational days 0-18. Offspring were assessed metabolically, histologically, and via RNA-Seq. Primary hepatocytes were treated with fatty acids with or without the epigenetic inhibitors to evaluate Nr1h3 expression and lipid deposition. Offspring body weight was similar in PPE-L vs Ctrl, but was reduced in PPE-H group followed by delayed growth. After 6-week HFD feeding, PPE-L offspring showed mild metabolic issues, while PPE-H males exhibited significant glucose/lipid disorders and hepatic steatosis compared to controls. RNA-Seq showed upregulation of hepatic lipid pathways in the PPE-H male offspring when challenged by HFD. The liver X receptor alpha (LXRα)-sterol regulatory element-binding protein 1 (SREBP1) signaling pathway and the expression of genes involved in de novo fatty acid synthesis were increased in PPE-H offspring under HFD. A485 significantly downregulated the expression of Nr1h3 in primary hepatocytes from male PPE-H offspring and alleviated lipid deposition in these hepatocytes treated with fatty acids. The H3K27ac level in the Nr1h3 promoter in the PPE-H offspring's liver was significantly upregulated. PPE-L impairs offspring glucose/lipid homeostasis, whereas PPE-H increase MAFLD risk of the offspring by epigenetic programming of the hepatic LXRα-SREBP1 pathway, especially in the males. Show less
no PDF DOI: 10.1016/j.lfs.2026.124390
NR1H3
Huimin Huang, Fengying Ran, Jun Chen +4 more · 2026 · Archives of biochemistry and biophysics · Elsevier · added 2026-04-24
Apigenin is a bioactive flavonoid and widely found in herbs, fruits, and vegetables. Accumulated evidences have demonstrated the protective potential of apigenin on cardiovascular diseases, but its ro Show more
Apigenin is a bioactive flavonoid and widely found in herbs, fruits, and vegetables. Accumulated evidences have demonstrated the protective potential of apigenin on cardiovascular diseases, but its role in atherosclerosis remains unclear. Here, we aim to investigate the therapeutic effects of apigenin on atherosclerosis in vivo and explore the potential mechanism. ApoE Apigenin obviously reduced lesion areas in both en-face aortas and aortic root in HFD fed ApoE Apigenin alleviated atherosclerosis development by inhibiting macrophage foam cell formation via PPARγ-LXRα-ABCA1/ABCG1 pathway. Show less
no PDF DOI: 10.1016/j.abb.2026.110730
APOE
Xu Lu, Yan Xu, Jiaxin Liu +1 more · 2026 · Molecular genetics and genomics : MGG · Springer · added 2026-04-24
Diabetic foot ulcers (DFU) are a severe complication of diabetes. Although dysregulated M2 macrophage polarization is recognized as a key driver of chronic inflammation in DFU, the molecular checkpoin Show more
Diabetic foot ulcers (DFU) are a severe complication of diabetes. Although dysregulated M2 macrophage polarization is recognized as a key driver of chronic inflammation in DFU, the molecular checkpoints that can be therapeutically targeted to restore M2 bias remain poorly defined. Here, we aimed to determine whether the RNA-binding protein TAF15 acts as a post-transcriptional stabilizer of the M2-promoting CEBPB/APOE/PTX3 axis, thereby accelerating DFU healing. First, we confirmed that APOE positively regulates PTX3, which supports M2 polarization and the proliferation and migration of HDF. CEBPB transcriptionally activated APOE and promoted M2 macrophage polarization. TAF15 stabilized CEBPB mRNA and affected HDF cell proliferation and migration by promoting M2 macrophage polarization. Additionally, TAF15 overexpression partially counteracted the disruption of M2 macrophage polarization caused by APOE silencing and facilitated DFU wound healing. Collectively, our findings establish TAF15-driven stabilization of CEBPB mRNA as a target point that sequentially activates APOE/PTX3 signaling to enforce M2 polarization and accelerate DFU closure. This study provides a preclinical rationale for the development of TAF15-targeted oligonucleotides or small-molecule strategies to reprogram wound macrophages and improve DFU outcomes in patients with diabetes. Show less
no PDF DOI: 10.1007/s00438-026-02385-4
APOE
Ya Wang, Jinyi Fu, Jingyi Zhan +7 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Atherosclerosis (AS) is a central pathological driver underlying most cardiovascular diseases. Gut microbiota and related metabolites participate in regulating atherosclerosis. Fifty C57BL/6J ApoE Ath Show more
Atherosclerosis (AS) is a central pathological driver underlying most cardiovascular diseases. Gut microbiota and related metabolites participate in regulating atherosclerosis. Fifty C57BL/6J ApoE Atherosclerotic plaques accumulated in the aorta and aortic sinus after HFD, while statin and high-dose GP alleviated this burden. TC, TG, LDL-C, MCP-1, MCP-3 and IL-2 showed significant increase after HFD, while statin and GP decreased LDL-C, MCP-1 and MCP-3. The goblet cells, ZO-1 and Occludin decreased after HFD, while statin and GP increased them, indicating that the intestinal barrier integrity was improved. Additionally, the composition of gut microbiota was modulated by GP. Some candidate taxa were identified, such as This study suggests that GP is beneficial for alleviating atherosclerosis in HFD-induced ApoE Show less
📄 PDF DOI: 10.3389/fcvm.2026.1773819
APOE
Xinchao Guan, Tao Liu, Sili Chen +4 more · 2026 · The Journal of biological chemistry · Elsevier · added 2026-04-24
Fusion genes are pivotal drivers of tumorigenesis, often generating oncogenic chimeric RNAs and fusion circular RNAs. However, the mechanisms by which these transcripts synergistically contribute to c Show more
Fusion genes are pivotal drivers of tumorigenesis, often generating oncogenic chimeric RNAs and fusion circular RNAs. However, the mechanisms by which these transcripts synergistically contribute to cancer progression remain poorly understood. Here, we identified a lung cancer-specific chimeric RNA KANSL1-ARL17A (chKANSARL) and its circular variant fusion circular RNA KANSL1-ARL17 A (F-circKA), both derived from the fusion gene KANSARL. Functional assays revealed that overexpression of either chKANSARL or F-circKA significantly enhanced lung cancer cell proliferation, migration, and invasion, while their knockdown suppressed these malignant phenotypes. In vivo experiments demonstrated that chKANSARL overexpression accelerated tumor growth in immunodeficient mice. Notably, coexpression experiments uncovered a synergistic regulatory interaction between F-circKA and chKANSARL, amplifying oncogenic effects. Mechanistically, miRNA sequencing and dual-luciferase assays revealed that F-circKA acts as a molecular sponge for miR-6860, thereby derepressing chKANSARL expression. Rescue experiments further validated this regulatory axis, wherein miR-6860 inhibition reversed the tumor-suppressive effects of F-circKA knockdown. Collectively, our study identifies and characterizes a novel F-circKA/miR-6860/chKANSARL regulatory axis, revealing how dual transcriptional outputs from the KANSARL fusion gene can synergistically drive lung cancer progression. These findings highlight a previously unrecognized layer of cooperative regulation between linear and circular fusion RNAs in oncogenesis and provide a new framework for understanding fusion gene-mediated tumorigenesis. Show less
📄 PDF DOI: 10.1016/j.jbc.2026.111170
KANSL1
Yayu Wang, Kai Li, Wei Chen +6 more · 2026 · Neuron · Elsevier · added 2026-04-24
Neurodegenerative diseases, which pose significant challenges for effective treatment, often involve risk variants of lysosomal gene products that disrupt lysosomal function, leading to the accumulati Show more
Neurodegenerative diseases, which pose significant challenges for effective treatment, often involve risk variants of lysosomal gene products that disrupt lysosomal function, leading to the accumulation of indigestible materials and damage to brain cells. The lysosome is a degradative organelle and a signaling hub that senses nutrient availability. How lysosomal dysfunction contributes to neurodegenerative diseases is an important open question. In this study, we identified CLN3 (ceroid lipofuscinosis, neuronal 3), an endolysosomal protein that is linked to Batten disease, as an evolutionarily conserved protein that facilitates lysosomal chloride efflux. Additionally, we report that a natural compound with anti-inflammatory properties-the curcumin analog C1, which is a TFEB (transcription factor EB) activator-could enhance CLN3 activity and improve lysosomal function. These findings provide new insight into the role of CLN3 in lysosomal ion homeostasis and raise the possibility that modulation of the TFEB-CLN3 signaling axis may hold therapeutic potential for lysosomal storage disorders. Show less
📄 PDF DOI: 10.1016/j.neuron.2025.11.013
CLN3
Fang-Kun Yang, Rui Chen, Chen-Hui Zhou +7 more · 2026 · Analytical chemistry · ACS Publications · added 2026-04-24
Atherosclerotic plaque destabilization during acute infections such as pneumonia represents a critical clinical challenge, yet the underlying molecular dynamics remain poorly characterized. This study Show more
Atherosclerotic plaque destabilization during acute infections such as pneumonia represents a critical clinical challenge, yet the underlying molecular dynamics remain poorly characterized. This study introduces a furin-responsive photoacoustic/fluorescence dual-modal probe (FRP) to investigate intraplaque furin activity in ApoE Show less
no PDF DOI: 10.1021/acs.analchem.5c06962
APOE
Jincheng Miao, Chen Wang, Peiming Kuang +6 more · 2026 · Bioresource technology · Elsevier · added 2026-04-24
Enzyme immobilization is critical for enhancing enzyme stability and reusability. Catalytically active inclusion bodies (CatIBs) have emerged as a promising immobilization strategy due to their straig Show more
Enzyme immobilization is critical for enhancing enzyme stability and reusability. Catalytically active inclusion bodies (CatIBs) have emerged as a promising immobilization strategy due to their straightforward production, ease of separation, and high purity. Unlike traditional cross-linked enzyme aggregates (CLEAs) that require a precipitation step, CatIBs form through carrier-free self-aggregation during expression. To overcome the limitations of conventional methods, a novel technique has been developed in this study, focusing on L-phenylserine aldolase (LPA) as the model enzyme. A hybrid tag (HLHLHL) was fused to the N-terminus of LPA to generate 3HL-LPA, which promotes the formation of active inclusion bodies. Based on structural prediction and surface properties, the active aggregation process of 3HL tags through electrostatic interactions and hydrophobic interactions was analyzed. Innovatively, we combined CatIBs and CLEAs technologies to develop novel CatIBs-CLEAs. For comparison, a control was prepared by fusing a hexahistidine tag (HHHHHH) to LPA's N-terminus (6H-LPA) to enhance soluble expression, followed by conventional CLEAs preparation. Results showed that CatIBs-CLEAs achieved an activity recovery of 69.87% after glutaraldehyde crosslinking, significantly higher than the 48.1% for conventional CLEAs. CatIBs-CLEAs also exhibited superior thermal stability across temperatures, high stability between pH 5-9, and retained over 70% activity after seven batch cycles. The integrated CatIBs-CLEAs technology combines the production advantages of CatIBs with the stability benefits of CLEAs, offering a promising strategy for designing efficient, robust industrial biocatalysts with broad application potential. Show less
no PDF DOI: 10.1016/j.biortech.2026.134564
LPA
Parinaz Massoumzadeh, Savannah Tiemann Powles, Mahshid Naghashzadeh +9 more · 2026 · The British journal of radiology · Oxford University Press · added 2026-04-24
Given the heterogeneous nature of Alzheimer's disease (AD) and its higher prevalence in females, it is crucial to understand sex-related differences in AD presentation and changes in the brain. This s Show more
Given the heterogeneous nature of Alzheimer's disease (AD) and its higher prevalence in females, it is crucial to understand sex-related differences in AD presentation and changes in the brain. This systematic review investigates sex differences in AD and summarizes key findings from neuroimaging studies over the past two decades to examine how genetics, hormones, and lifestyle factors influence neuroimaging biomarkers and their correlation with cognitive decline and AD progression. A comprehensive literature search was conducted across several databases for human studies from 2004 to 2024 related to AD, biological sex differences, and neuroimaging. After a 3-step review process, the final extraction included 120 peer-reviewed studies using various neuroimaging modalities, such as MRI, amyloid-beta PET, tau-PET, and fluorodeoxyglucose (FDG) PET, to investigate sex as a biological predictor variable in adults with or at risk for AD. Over 90% of the reviewed studies identified clear sex-specific patterns of imaging biomarkers related to cognitive reserve, hormonal changes, APOE-ɛ4 genotype, inflammation, vascular health, and lifestyle factors. Machine learning studies increasingly incorporate sex as a key variable, revealing sex-specific biomarkers and improving model performance in predicting disease status and progression. Considering biological sex in AD research is essential for improving diagnostic accuracy, tailoring interventions, and health outcomes. This systematic review identifies sex-specific patterns in neuroimaging biomarkers of AD, influenced by cognitive reserve, hormones, APOE-ɛ4 genotype, inflammation, vascular health, and lifestyle. Recognizing these differences is crucial for understanding, diagnosis, and treatment efficacy. Show less
📄 PDF DOI: 10.1093/bjr/tqag011
APOE
Yongmei Wu, Wenjing Xia, Yang Yang +18 more · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroup Show more
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroups, risk factors, and symptom-level interactions underlying depression-anxiety comorbidity across adolescents and adults in multi-ethnic Southwest China. The study included a total of 41,394 adolescents (aged 9-19) and 17,345 adults (aged 18-80). Adolescents were recruited using multistage stratified cluster sampling, whereas adults were recruited by convenience sampling. All participants completed a self-designed sociodemographic questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7). Latent profile analysis identified subgroups, logistic regression analyzed risk/protective factors, and network analysis mapped symptom interactions and bridge nodes. This study found that three adolescent profiles emerged: high (11.66 %), moderate (31.95 %), and low/no depression-anxiety (56.39 %). Adults were classified into low/no comorbidity (90.63 %) and comorbid depression-anxiety (9.37 %). Risk factors for adolescents included female gender (OR = 2.77, 95 %CI: 2.55-3.00; OR = 1.59, 95 %CI: 1.52-1.67), higher grade levels (OR = 3.45, 95 %CI: 3.10-3.84; OR = 3.56, 95 %CI: 3.33-3.80), smoking (OR = 1.72, 95 %CI: 1.51-1.96; OR = 1.28, 95 %CI: 1.17-1.41),drinking (OR = 2.45, 95 %CI: 2.23-2.70; OR = 1.66, 95 %CI: 1.55-1.77), family instability (OR = 1.16, 95 %CI: 1.02-1.31; OR = 1.33, 95 %CI: 1.14-1.56) and "other" ethnic minority (OR = 1.15, 95 %CI: 1.04-1.26). For adults, female gender(OR = 1.68; 95 %CI: 1.44-1.97), living alone(OR = 1.37; 95 %CI: 1.14-1.65), poor self-rated health (OR = 0.13, 95 %CI: 0.11-0.15), and Dai ethnicity (OR = 0.70, 95 %CI: 0.49-0.96) predicted comorbidity. Network analysis revealed distinct bridge symptoms: adolescents in the high depression-anxiety group had five symptoms: depressed or sad mood (phq2), psychomotor agitation/retardation (phq8), nervousness or anxiety (gad1), restlessness (gad5), and irritable (gad6); however, adults with comorbidity had one symptom: afraid something will happen (gad7). This study identified three patterns of depression-anxiety comorbidity in adolescents and two in adults. Efforts should prioritize adolescents from "other" ethnic minorities, strengthening family and peer support, as well as smoking and drinking interventions for adolescents, and addressing social isolation, physical health, and catastrophizing cognition in adults may mitigate the comorbidity burden. Show less
no PDF DOI: 10.1016/j.jad.2025.121112
LPA
Gary Chen, Adrienne Sexton · 2026 · Patient education and counseling · Elsevier · added 2026-04-24
This scoping review aims to map the experiences and outcomes of patients and their families undergoing genetic testing and counseling regarding dementia to inform future research directions and clinic Show more
This scoping review aims to map the experiences and outcomes of patients and their families undergoing genetic testing and counseling regarding dementia to inform future research directions and clinical practice. Rigorous scoping review methodology was followed. Ovid Medline, Embase, PsycINFO, and CINAHL were searched with keywords and MeSH terms related to "genetic testing", "genetic counseling", "dementia", "decision making", and "patient outcomes" for peer-reviewed studies with adult participants published over the last ten years. Thirty-six articles met inclusion criteria. Narrative synthesis organized findings into temporal categories including motivations for genetic testing, experiences during the testing/counseling process, and outcomes after testing. Common motivators included reducing uncertainty, reproductive planning, life planning, and the prospect of a treatment becoming available in the future. A lack of current treatments and fear that knowledge of genetic risk would be difficult to cope with were common barriers to testing. Patient-centered communication improved satisfaction. Genetic testing was generally psychologically well tolerated, and a wide range of practical responses were reported including changes to lifestyle, diet, advanced care and financial planning, and engaging in clinical trials. This review maps the experiences and outcomes of genetic testing or counseling for people with or at potentially increased genetic risk of dementia. Genetic testing and counseling for directly causal dementia genes and APOE genotype appears well tolerated but long-term outcome data is lacking. Motivations, concerns and perceived benefits of knowing genetic results vary depending on personal, familial and cultural viewpoints. Genetic counseling can help patients and families prepare, reduce decisional regret, and adapt to results. Motivations varied, and a patient-centered approach addressing both information and psychological aspects improves satisfaction. Future longitudinal research should ascertain ways to support individuals from a wide range of demographics with understanding and adjusting to genetic risk information regarding dementia. Show less
no PDF DOI: 10.1016/j.pec.2025.109424
APOE
Yanwei Yin, Xiaorong Chen, Chongzeng Bi +1 more · 2026 · Acta psychologica · Elsevier · added 2026-04-24
This study, adopting a person-centered approach and using network analysis, explores latent subtypes of Junzi personality among college students and their links to Receptiveness to Opposing Views, off Show more
This study, adopting a person-centered approach and using network analysis, explores latent subtypes of Junzi personality among college students and their links to Receptiveness to Opposing Views, offering empirical backing for the ancient Chinese idea of "Junzi harmonize yet remain distinct." Traditional variable-centered methods often fail to fully expose the underlying typological structure due to the possible heterogeneous combinations in Junzi personality dimensions. Thus, a person-centered latent profile analysis (LPA) was used to pinpoint typical personality trait patterns. With 1116 college students as participants, the study employed the Junzi Personality Questionnaire Based on Confucian Thought and the Receptiveness to Opposing Views Scale. LPA identified three personality types: The Moderate Type (50%), The Daring-Aggressive Type (15%), and The Virtuously-Accomplished Type (35%). Regression analysis showed significant correlations between gender, age, and personality type, with The Virtuously-Accomplished Type scoring notably higher in Receptiveness to Opposing Views. Network analysis further revealed distinct differences in the network structures of Receptiveness to Opposing Views among the three types: The Moderate Type centered on "derogation of opponents," "refraining from what should not be done," and "respectfulness and propriety"; The Daring-Aggressive Type focused on "conversancy with righteousness and cherishment of benign rule," "derogation of opponents," and "respectfulness and propriety"; while The Virtuously-Accomplished Type highlighted "negative emotions" and "wisdom, benevolence, and courage," with "taboo issues" at the periphery in all datasets. The findings uncover the heterogeneity of Junzi personality and its varied associations with Receptiveness to Opposing Views, providing insights for understanding harmonious interactions in diverse settings. Show less
no PDF DOI: 10.1016/j.actpsy.2026.106577
LPA
Yuecong Wang, Xin Wang, Chengcai Wen +6 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
Occupational stress in nursing is a critical issue that can have significant implications for both workforce stability and personal health. This study aimed to identify subgroups of occupational stres Show more
Occupational stress in nursing is a critical issue that can have significant implications for both workforce stability and personal health. This study aimed to identify subgroups of occupational stress among Chinese female clinical nurses using latent profile analysis, compare sociodemographic differences across these subgroups, and examine their associations with premenstrual syndrome (PMS). A cross-sectional study was conducted among female nurses in tertiary hospitals in Huai'an City, Jiangsu Province, China, from November to December 2023. We recruited participants via convenience sampling, and 400 valid questionnaires were collected. Data were collected using a researcher-developed general information questionnaire, the standardized Chinese Nurses Stressor Scale (35 items), and the Premenstrual Syndrome Scale. Latent profile analysis (LPA) was performed with Mplus 8.0 to identify occupational stress subtypes. Sociodemographic predictors of these subtypes were explored using chi-square tests and multivariate logistic regression in SPSS 25.0. The association between stress subtypes and PMS symptoms was assessed using ANOVA. A Three clinical female nurse occupational stress subtypes were identified: overall low-stress (38.3%, This study identified significant heterogeneity in occupational stress among clinical female nurses, categorized into three distinct subtypes differing in stress levels and demographic characteristics. These findings highlight the importance of considering individual differences when developing interventions to address occupational stress. The study advocates for the implementation of intervention strategies targeting different types of stress in nursing education and organizational reform to better support nurses in fulfilling their responsibilities. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1683290
LPA
Wen Chen, Yue Yang, Shan He +6 more · 2026 · Psychology of sport and exercise · Elsevier · added 2026-04-24
While mindfulness has demonstrated efficacy in enhancing executive function in non-athletes through improved present-moment awareness and acceptance of current experiences, particularly regarding atte Show more
While mindfulness has demonstrated efficacy in enhancing executive function in non-athletes through improved present-moment awareness and acceptance of current experiences, particularly regarding attention regulation and cognitive control, its neurocognitive mechanisms and the effects and underlying mechanisms of mindfulness-based intervention (MBI) on different executive functioning skills in athletic populations remain poorly understood. The purpose of this randomized controlled trial tackles a novel and important topic by investigating the beneficial effects of 12-week MBI on executive functioning skills in baseball players-a population that faces unique cognitive and physical demands, and the associated neurophysiological and biochemical regulation mechanisms. Thirty-four baseball players were randomly divided into the MBI group (11M/6F) and the control group (11M/6F). Executive functioning skills (N-back task for working memory, Stroop task for inhibitory control, and Switching task for cognitive flexibility) were tested before and after the intervention. Functional near-infrared spectroscopy (fNIRS) was used to record quantified hemodynamic responses in the prefrontal cortex through oxygenated hemoglobin concentration (Oxy-Hb) monitoring during the performance of executive function tasks. Biomarkers of cognitive function, including BDNF, IL-6, TNF-α, and Cortisol, were measured using enzyme-linked immunosorbent assays (ELISA). MBI partially improved all three executive function skills, with increased Oxy-Hb level in L-FPA during the task of working memory, increased Oxy-Hb level in R-VLPFC during the task of inhibitory control, and decreased Oxy-Hb level in R-FPA, M-FPA, and L-DLPFC during the task of cognitive flexibility. Furthermore, MBI increased circulating BDNF level and decreased IL-6 and Cortisol levels. In addition, our correlation analyses showed that improvement in executive function (improved behavioral performances and changes in Oxy-Hb levels) were associated with changes in Cortisol and inflammatory cytokines (TNF-α and IL-6). A 12-week MBI partially improved three components of executive function in baseball players. This enhancement may be attributed to the MBI-induced reductions in Cortisol and inflammatory cytokines (such as TNF-α and IL-6), which altered blood oxygen contents in specific brain regions, thereby promoting executive function. Show less
no PDF DOI: 10.1016/j.psychsport.2026.103061
BDNF biomarkers brain oxygenation cognitive function executive function mindfulness neurocognition
Dehao Yang, Shiyue Wang, Yangguang Lu +8 more · 2026 · Alzheimer's research & therapy · BioMed Central · added 2026-04-24
The clinical interpretation of Alzheimer's disease (AD) is frequently complicated by the prevalence of missense variants designated as being of uncertain significance within associated genes. Conventi Show more
The clinical interpretation of Alzheimer's disease (AD) is frequently complicated by the prevalence of missense variants designated as being of uncertain significance within associated genes. Conventional computational prediction tools often overlook disease-specific pathophysiological contexts and lack pertinence and interpretability. Therefore, the present study aimed to develop a novel, interpretable framework for predicting the pathogenicity of AD missense variants by integrating transcriptomic and proteomic data enrichment patterns with machine learning methods. A cross-sectional variant-level analysis was performed using publicly available databases. Missense variants in APOE, APP, PSEN1, PSEN2, SORL1, and TREM2 reported in AD patients were retrieved from Alzforum and compared with missense variants from individuals without neurological diseases, as cataloged in the gnomAD v2.1.1 non-neuro subset. Variants were annotated with tissue-specific expression, secondary structure, relative solvent accessibility, and other functional features using tools like AlphaFold. Enrichment of specific features was assessed with Fisher's exact tests with Bonferroni correction for multiple comparisons. Given that PSEN1 showed the strongest enrichment signals, six machine-learning algorithms were trained on PSEN1 variants to distinguish AD-associated variants from gnomAD variants, using a 10 × 5 nested cross-validation scheme. External validation was conducted using PSEN1 missense variants from ClinVar annotated as pathogenic/likely pathogenic or benign/likely benign. Model performance was compared with SIFT and PolyPhen-2, and interpretability was evaluated by feature ablation and SHapley Additive exPlanations analyses. AD-associated variants exhibited statistically significant enrichment within some transcriptomic or proteomic features, with PSEN1 contributing significantly to the enrichment observed across these features. Random forest and gradient boosting models achieved high performance in the internal training dataset and maintained high recall in the external validation dataset, outperforming SIFT and approaching the performance of PolyPhen-2. Relative solvent accessibility was the most discriminative individual feature, while regional and topological features provided complementary discriminative power. This integrative, multi-omics framework links disease-specific enrichment patterns with interpretable gene-level machine learning for AD missense variants. The results highlight the importance of expression level, structural context, etc. for PSEN1 variant pathogenicity and may help prioritize variants for functional studies. Further validation in additional genes and independent cohorts is warranted prior to any clinical application. Show less
📄 PDF DOI: 10.1186/s13195-025-01950-0
APOE
Sidan Wang, Lintao Dan, Xixian Ruan +15 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective coho Show more
To characterize ultra-processed food (UPF) circulating metabolic signatures associated with Crohn's disease (CD) and to localize key metabolic mediators linking UPF intake to CD risk. Prospective cohort study. Two large multi-center cohorts (UK Biobank [UKB] and Whitehall II [WHII] study) across the UK and an Eastern multi-center cohort ONE-IBD Study from China. UK Biobank discovery cohort (n=10,229) for signature derivation, internal validation cohort (n=91,306), external validation cohort Whitehall-II (n=7,893), and three additional cohorts (two Western and ONE-IBD) for validation of key metabolic drivers. Primary outcomes were UPF-related circulating metabolic signatures and their associations with CD risk; secondary outcomes included evidence supporting causal roles of candidate metabolites and genetic pathways assessed by Mendelian randomization, colocalization, and gene-environment analysis. A UPF metabolic signature of 73 metabolites was constructed and validated across cohorts (Spearman ρ: 0.20-0.25). More pronounced UPF metabolic signature was associated with increased CD risk (HR The adverse effects of UPF on CD risk may be driven by a relative deficiency of protective metabolites such as DHA, apart from additive harm to metabolic depletion. This reframes UPF-related risk and highlighting potential targets for precision nutrition in CD prevention. Show less
📄 PDF DOI: 10.64898/2026.02.20.26346727
FADS1
Shuang Xiang, Xiaojuan Chen, Jieying Lin +11 more · 2026 · Journal of medicinal chemistry · ACS Publications · added 2026-04-24
Alterations in the FGFR family act as oncogenic drivers for multiple pediatric and adult tumors, leading to the development and approval of several FGFR inhibitors. However, the on-target gatekeeper a Show more
Alterations in the FGFR family act as oncogenic drivers for multiple pediatric and adult tumors, leading to the development and approval of several FGFR inhibitors. However, the on-target gatekeeper and "molecular brake" mutations confer clinically acquired resistance to the FDA-approved FGFR inhibitors, which presents a significant unmet medical need. Herein, we report the first novel macrocycle-based FGFR inhibitors targeting both wild-type and clinically acquired variants of the FGFR family. The representative compound Show less
no PDF DOI: 10.1021/acs.jmedchem.5c02462
FGFR1
Xiaoqing Wang, Ruisen Chen, Panqin Ye +1 more · 2026 · Behavioral sciences (Basel, Switzerland) · MDPI · added 2026-04-24
This study explores the influence of congruence and incongruence in father-mother co-parenting on adolescent depression, as well as the mediating effect of self-esteem. A total of 1389 adolescents com Show more
This study explores the influence of congruence and incongruence in father-mother co-parenting on adolescent depression, as well as the mediating effect of self-esteem. A total of 1389 adolescents completed questionnaires assessing their levels of depression and self-esteem, while their fathers and mothers correspondingly reported on their own co-parenting behaviors using the Parental Co-parenting Scale in this cross-sectional study. Dates were analyzed using LPA, RSA, and mediation consecutively. The results show that: (1) We identified three distinct co-parenting profiles: positive parental co-parenting, negative parental co-parenting, and mixed parental co-parenting. (2) In cases of congruent parental co-parenting, high positive parental co-parenting was associated with lower adolescent depression, whereas high negative parental co-parenting was linked to higher depression, and the difference manifests in different forms among boys and girls. Girls showed nonlinear changes in depression while boys exhibited linear trends. (3) In cases of incongruence in parental co-parenting, mothers' co-parenting exerted a stronger influence on boys' depression, while girls were not affected by mothers' and fathers' discrepancies. (4) Self-esteem mediated the relationship between parental co-parenting (in)congruence and depression across both genders. This study provides evidence for the mechanism through which parental coparenting influences adolescent depression and offers a basis for future interventions targeting adolescent depression. Show less
📄 PDF DOI: 10.3390/bs16030448
LPA
Dai-Jung Chung, Shao-Peng Chen, Wei-Hsuan Liu +10 more · 2026 · Journal of biomedical science · BioMed Central · added 2026-04-24
Despite therapeutic advances, atherosclerosis remains a major global health challenge. Most current treatments target systemic risk factors rather than the diseased vascular wall. Our previous work id Show more
Despite therapeutic advances, atherosclerosis remains a major global health challenge. Most current treatments target systemic risk factors rather than the diseased vascular wall. Our previous work identified genistein, a soy isoflavone, as a cannabinoid receptor 1 (CB1) antagonist capable of suppressing CB1-mediated vascular inflammation and atherosclerosis. However, its poor water solubility and low oral bioavailability limit clinical application. We aimed to develop water-soluble, orally bioavailable CB1 antagonists for atherosclerosis and to investigate the role of endothelial CB1 in hemodynamic regulation. RNA-sequencing datasets from the NCBI GEO repository were analyzed to assess CB1 expression in atherosclerotic patients. Apolipoprotein E-deficient (Apoe We found CB1 was upregulated in atherosclerotic lesions from patients and mice, and in endothelial cells exposed to disturbed flow. Mechanistically, this was driven by ZNF610 and Spi1 binding and KLF4 dissociation at the CB1 promoter. Daidzein, a soy isoflavone structurally similar to genistein, was identified as a novel CB1 antagonist. To enhance solubility and bioavailability, we developed genistein 7-O-phosphate (G7P) and daidzein 7-O-phosphate (D7P). Pharmacological treatment with these isoflavone monophosphates or genetic CB1 ablation reversed disturbed flow-induced endothelial dysfunction and endothelial-to-mesenchymal transition (EndMT). Oral administration of G7P and D7P significantly reduced atherosclerotic plaque formation in mice. This is the first study to identify transcriptional regulators that drive endothelial CB1 upregulation in response to disturbed flow. We further demonstrated that isoflavone monophosphates ameliorate disturbed flow-induced endothelial dysfunction and EndMT via CB1 inhibition, offering promising oral therapeutics for atherosclerosis. Show less
📄 PDF DOI: 10.1186/s12929-026-01214-5
APOE
Zhongshan Cheng, Sung-Liang Yu, Chih-Hsiang Yu +19 more · 2026 · Scientific reports · Nature · added 2026-04-24
The international consensus classification or the World Health Organization classifications underrepresented driver alterations enriched in pediatric acute myeloid leukemia (AML). To address this, we Show more
The international consensus classification or the World Health Organization classifications underrepresented driver alterations enriched in pediatric acute myeloid leukemia (AML). To address this, we retrospectively characterized the genomic landscape of 105 pediatric patients with AML of East Asian ancestry using transcriptome and whole-exome sequencing (WES). In addition to the common recurrent fusions such as RUNX1::RUNX1T1 and CBFB::MYH11, we identified rearrangements involving KMT2A, NUP98, GLIS, as well as FLT3 and UBTF tandem duplications. The median somatic mutation rate in AML was 0.97 per megabase, as estimated by WES. Frequently mutated pathways included signaling: 68.6% (72/105), transcription: 37.1% (39/105), epigenetic regulation: 26.7% (28/105), cohesin: 7.6% (8/105), RNA binding: 3.8% (4/105), and protein modification: 5.7% (6/105). When analyzed together, high-risk genetic subtypes including GLISr, UBTF tandem duplications, PICALM::MLLT10, and HOXr were significantly associated with poorer 5 year overall survival (OS) in multivariable analysis (p-value = 0.037). Although FLT3 internal tandem duplications were significantly associated with inferior 5 year OS in univariable analysis, this effect was not significant in multivariable analysis (p-value = 0.382). Patients with RUNX1 mutations had inferior 5 year OS in multivariable analysis (p-value = 0.009). These findings suggest specific genomic alterations that may refine risk stratification and guide future therapeutic protocols in Taiwanese pediatric patients with AML. Show less
📄 PDF DOI: 10.1038/s41598-025-34152-7
MLLT10
Shasha Zhu, Qiuhui Xu, Yihan Wang +4 more · 2026 · Molecular nutrition & food research · Wiley · added 2026-04-24
Dietary protocatechuic acid (PCA) inhibits atherosclerosis development in male ApoE-/- mice. However, its anti-atherosclerotic property in genetically unmodified (wild-type) male or female mice remain Show more
Dietary protocatechuic acid (PCA) inhibits atherosclerosis development in male ApoE-/- mice. However, its anti-atherosclerotic property in genetically unmodified (wild-type) male or female mice remains unknown.Five-week-old C57BL/6J mice (half males and females) were divided into negative (fed a chow diet), positive (fed an atherogenic diet), or 5, 25, 50, 100, or 200 mg/kg BW/d of PCA (fed an atherogenic diet) groups. Oral gavage with PCA between 25-100 mg/kg BW/d for 25 weeks significantly attenuated atherogenic diet-induced plaque formation in a dose-dependent manner, whereas the anti-atherosclerotic efficiency of 200 mg/kg BW/d of PCA was comparable with that of 50 mg/kg BW/d. PCA did not affect serum lipids (total triglyceride, total cholesterol, HDL cholesterol), pro-inflammatory cytokines (tumor necrosis factor alpha, IL-1b, IL-6), oxidized LDL, and total antioxidant capacity, and acetylcholine or sodium nitroprusside-induced aortic relaxation. Instead, PCA (≥25 mg/kg BW/d) reduced macrophage accumulation and content of tumor necrosis factor alpha, superoxide, and 4-hydroxynonenal within plaques, and inhibited monocyte adhesion to aortic endothelium in both male and female mice.PCA inhibits early atherosclerosis formation in both male and female C57BL/6J mice with a "U-shaped" dose-response relationship, possibly by reducing inflammation burden and oxidative stress within atherosclerotic plaques. Show less
no PDF DOI: 10.1002/mnfr.70447
APOE
Yumei Qin, Yanping Liu, Kecheng Li +8 more · 2026 · Frontiers in genetics · Frontiers · added 2026-04-24
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify t Show more
This study was conducted to investigate the clinical and genetic characteristics of a family affected by hereditary spherocytosis (HS) combined with familial chylomicronemia syndrome (FCS), identify the pathogenic cause, and provide a basis for the clinical diagnosis, treatment, and genetic counseling of affected children. Clinical data were collected from family members. High-throughput sequencing was performed to identify pathogenic variants in genes associated with HS and FCS in the proband. Suspected pathogenic mutations were confirmed in family members via PCR-Sanger sequencing. Bioinformatics analysis and three-dimensional protein structure prediction were also conducted. The proband presented with severe anemia, splenomegaly, and jaundice. Genetic testing revealed a heterozygous mutation, c.6005G>A (p.Trp2002*), in the spectrin beta chain ( The heterozygous mutations Show less
📄 PDF DOI: 10.3389/fgene.2026.1659838
LPL
Wei Xia, Nan Shi, Yongjing Lai +12 more · 2026 · Nature communications · Nature · added 2026-04-24
Rodents are widely used in immunology but do not always recapitulate human immune functions. The tree shrew (Tupaia belangeri) is phylogenetically closer to primates than rodents and may help bridge t Show more
Rodents are widely used in immunology but do not always recapitulate human immune functions. The tree shrew (Tupaia belangeri) is phylogenetically closer to primates than rodents and may help bridge this gap, yet its immune system has not been comprehensively characterised at single-cell resolution. Here, we present a single-cell transcriptomic atlas of the tree shrew immune system, profiling 39 cell types across 12 tissues. We uncover human-like tonsillar structures and two transcriptionally distinct splenic macrophage subsets: an NR1H3 Show less
no PDF DOI: 10.1038/s41467-026-71218-0
NR1H3
Na Li, Xiaohua Li, Xianxiu Qiu +7 more · 2026 · Autophagy · Taylor & Francis · added 2026-04-24
The mammalian class III phosphatidylinositol-3-kinase complex (PtdIns3K) forms two biochemically and functionally distinct subcomplexes including the ATG14-containing complex I (PtdIns3K-C1) and the U Show more
The mammalian class III phosphatidylinositol-3-kinase complex (PtdIns3K) forms two biochemically and functionally distinct subcomplexes including the ATG14-containing complex I (PtdIns3K-C1) and the UVRAG-containing complex II (PtdIns3K-C2). Both subcomplexes adopt a V-shaped architecture with a BECN1-ATG14 or UVRAG adaptor arm and a PIK3R4/VPS15-PIK3C3/VPS34 catalytic arm. NRBF2 is a pro-autophagic modulator that specifically associates with PtdIns3K-C1 to enhance its kinase activity and promotes macroautophagy/autophagy. How NRBF2 exerts such a positive effect is not fully understood. Here we report that NRBF2 binds to PIK3R4/VPS15 with moderate affinity through a conserved site on its N-terminal MIT domain. The NRBF2-PIK3R4/VPS15 interaction is incompatible with the UVRAG-containing PtdIns3K-C2 because the C2 domain of UVRAG outcompetes NRBF2 for PIK3R4/VPS15 binding. Our crystal structure of the NRBF2 coiled-coil (CC) domain reveals a symmetric homodimer with multiple hydrophobic pairings at the CC interface, which is in distinct contrast to the asymmetric dimer observed in the yeast ortholog Atg38. Mutations in the CC domain that rendered NRBF2 monomeric led to weakened binding to PIK3R4/VPS15 and only partial rescue of autophagy deficiency in Show less
no PDF DOI: 10.1080/15548627.2025.2580438
PIK3C3
Ye Yang, Anne P Beigneux, Troy L Lowe +21 more · 2026 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
Apolipoprotein AV (APOA5) regulates intravascular triglyceride metabolism by binding to the angiopoietin-like protein 3/8 complex (ANGPTL3/8) and suppressing its ability to unfold the native conformat Show more
Apolipoprotein AV (APOA5) regulates intravascular triglyceride metabolism by binding to the angiopoietin-like protein 3/8 complex (ANGPTL3/8) and suppressing its ability to unfold the native conformation of lipoprotein lipase (LPL). LPL unfolding results in loss of catalytic activity and the detachment of LPL from the surface of cells. An Show less
no PDF DOI: 10.1073/pnas.2528664123
APOA5
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
Ya-Xin Deng, Bao-Jun Ding, Hong-Chun Li +4 more · 2026 · Yi chuan = Hereditas · added 2026-04-24
The
no PDF DOI: 10.16288/j.yczz.25-190
APOA4
Tengyun Yang, Chao Jia, Guoliang Wang +6 more · 2026 · Osteoarthritis and cartilage · Elsevier · added 2026-04-24
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed Show more
To examine the causal association between obesity and osteoarthritis (OA) using an improved definition of obesity, and to identify mediating genes that may link obesity to OA pathogenesis. We analyzed data from the U.S. National Health and Nutrition Examination Survey (NHANES, 2011-2018; n = 8981). Obesity was defined using body mass index (BMI ≥ 30 kg/m²) combined with body fat percentage (BFP ≥ 25 % in men and ≥ 32 % in women). Logistic regression and subgroup analyses were conducted to evaluate associations with OA. Genetic correlation between obesity and OA was estimated using linkage disequilibrium score regression (LDSC). Two-sample Mendelian randomization (MR) was applied to assess causal effects using genome-wide association study (GWAS) summary statistics for BFP and OA. Transcriptome-wide association studies (TWAS) and colocalization analyses were performed to identify candidate genes. Mediation MR was conducted to verify their mediating roles. Obesity defined by BMI combined with BFP was significantly associated with OA (OR = 1.421, 95 %CI: 1.048-1.925, P = 0.025), and was independent of age, race, and various comorbidities. MR analysis confirmed a unidirectional causal effect of obesity on OA (IVW OR = 2.349, 95 %CI: 2.012-2.743, P < 0.001), with no reverse causality detected. TWAS and colocalization identified MAPK3, RBM6, and PRMT6 as potential mediators. Mediation MR confirmed significant effects of MAPK3 (β = 0.991, P = 0.015) and RBM6 (β = 2.740, P < 0.001) in the obesity-OA pathway. Obesity exerts a causal effect on OA, partially mediated by the downregulation of MAPK3 and RBM6. These genes represent potential targets for the prevention and treatment of obesity-related OA. Show less
no PDF DOI: 10.1016/j.joca.2025.11.003
RBM6
Jingting Mai, Runlu Sun, Wenhao Liu +4 more · 2026 · Cytokine · Elsevier · added 2026-04-24
Atherosclerosis is a chronic inflammatory disease driven by pathological angiogenesis and plaque instability. Herein, we investigated the role of macrophage-derived CXCL2 in mediating endothelial prog Show more
Atherosclerosis is a chronic inflammatory disease driven by pathological angiogenesis and plaque instability. Herein, we investigated the role of macrophage-derived CXCL2 in mediating endothelial progenitor cell (EPC) homing during atherosclerosis progression. Using ApoE-/- mice on a high-fat diet and in vitro co-culture models, we found that infused EPCs exacerbated plaque burden, neovascularization, and matrix degradation. Macrophages were essential for EPC recruitment to plaques. Ox-LDL-stimulated macrophages enhanced EPC angiogenic functions, with transcriptome sequencing identifying CXCL2 as a key upregulated mediator. Functional experiments confirmed CXCL2's critical role. In vivo silencing of CXCL2 attenuated EPC homing, reduced plaque size and lipid accumulation, decreased neovascularization, and stabilized the plaque matrix. Our findings demonstrate that macrophages promote pathological angiogenesis and plaque progression via CXCL2, suggesting that targeting this chemokine could be a novel therapeutic strategy for stabilizing atherosclerotic plaques. Show less
no PDF DOI: 10.1016/j.cyto.2026.157114
APOE
Shun Li, Xinrui Li, Shuanglong Li +2 more · 2026 · Bioorganic & medicinal chemistry · Elsevier · added 2026-04-24
The multifaceted nature of Alzheimer's disease (AD) spurred growing interest in developing multi-target-directed ligands (MTDLs) for its prevention and treatment. Coumarin and quinoline scaffolds, rec Show more
The multifaceted nature of Alzheimer's disease (AD) spurred growing interest in developing multi-target-directed ligands (MTDLs) for its prevention and treatment. Coumarin and quinoline scaffolds, recognized for their broad spectrum of AD-related biological activities including amyloid-β (Aβ) aggregation regulation, cholinesterase (ChE) inhibition, β-secretase 1 (BACE1) inhibition and neuroprotection, were identified as potential building blocks. Here in this study, 24 novel coumarin-quinoline hybrid compounds were rationally designed and synthesized. Inhibition studies targeting Aβ, ChE and BACE1 identified compound B8 as a promising lead compound. B8 exhibited effective binding to Aβ, and significantly attenuated Aβ-induced SH-SY5Y cell death by lowering oxidative stress and decreasing cellular apoptosis. Crucially, B8 demonstrated excellent blood-brain barrier (BBB) permeability, and intragastric administration of B8 to 7-month-old APP/PS1 transgenic mice resulted in improved cognitive function. This improvement was supported by the protection of hippocampal and cortical neurons from necrosis, attenuation of oxidative stress and inflammation in these brain regions, as well as a reduction in Aβ deposition. These findings highlight the potential of coumarin-quinoline hybrids as a novel class of AD therapeutics, with B8 emerging as a promising lead candidate warranting further investigation. Show less
no PDF DOI: 10.1016/j.bmc.2025.118499
BACE1