👤 Tan-Huan Chen

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
2981
Articles
1996
Name variants
Also published as: Ai-Qun Chen, Aiping Chen, Alex Chen, Alex F Chen, Alice P Chen, Alice Y Chen, Alice Ye A Chen, Allen Menglin Chen, Alon Chen, Alvin Chen, An Chen, Andrew Chen, Anqi Chen, Aoshuang Chen, Aozhou Chen, B Chen, B-S Chen, Baihua Chen, Ban Chen, Bang Chen, Bang-dang Chen, Bao-Bao Chen, Bao-Fu Chen, Bao-Sheng Chen, Bao-Ying Chen, Baofeng Chen, Baojiu Chen, Baolin Chen, Baosheng Chen, Baoxiang Chen, Beidong Chen, Beijian Chen, Ben-Kuen Chen, Benjamin Chen, Benjamin Jieming Chen, Benjamin P C Chen, Beth L Chen, Bihong T Chen, Bin Chen, Bing Chen, Bing-Bing Chen, Bing-Feng Chen, Bing-Huei Chen, Bingdi Chen, Bingqian Chen, Bingqing Chen, Bingyu Chen, Binlong Chen, Binzhen Chen, Bo Chen, Bo-Fang Chen, Bo-Jun Chen, Bo-Rui Chen, Bo-Sheng Chen, Bohe Chen, Bohong Chen, Bosong Chen, Bowang Chen, Bowei Chen, Bowen Chen, Boyu Chen, Brian Chen, C Chen, C Y Chen, C Z Chen, C-Y Chen, Cai-Long Chen, Caihong Chen, Can Chen, Cancan Chen, Canrong Chen, Canyu Chen, Caressa Chen, Carl Pc Chen, Carol Chen, Carol X-Q Chen, Catherine Qing Chen, Ceshi Chen, Chan Chen, Chang Chen, Chang-Lan Chen, Chang-Zheng Chen, Changjie Chen, Changya Chen, Changyan Chen, Chanjuan Chen, Chao Chen, Chao-Jung Chen, Chao-Wei Chen, Chaochao Chen, Chaojin Chen, Chaoli Chen, Chaoping Chen, Chaoqun Chen, Chaoran Chen, Chaoyi Chen, Chaoyue Chen, Chen Chen, Chen-Mei Chen, Chen-Sheng Chen, Chen-Yu Chen, Cheng Chen, Cheng-Fong Chen, Cheng-Sheng Chen, Cheng-Yi Chen, Cheng-Yu Chen, Chengchuan Chen, Chengchun Chen, Chengde Chen, Chengsheng Chen, Chengwei Chen, Chenyang Chen, Chi Chen, Chi-Chien Chen, Chi-Hua Chen, Chi-Long Chen, Chi-Yu Chen, Chi-Yuan Chen, Chi-Yun Chen, Chian-Feng Chen, Chider Chen, Chien-Hsiun Chen, Chien-Jen Chen, Chien-Lun Chen, Chien-Ting Chen, Chien-Yu Chen, Chih-Chieh Chen, Chih-Mei Chen, Chih-Ping Chen, Chih-Ta Chen, Chih-Wei Chen, Chih-Yi Chen, Chin-Chuan Chen, Ching Kit Chen, Ching-Hsuan Chen, Ching-Jung Chen, Ching-Wen Chen, Ching-Yi Chen, Ching-Yu Chen, Chiqi Chen, Chiung Mei Chen, Chiung-Mei Chen, Chixiang Chen, Chong Chen, Chongyang Chen, Christina Y Chen, Christina Yingxian Chen, Christopher S Chen, Chu Chen, Chu-Huang Chen, Chuanbing Chen, Chuannan Chen, Chuanzhi Chen, Chuck T Chen, Chueh-Tan Chen, Chujie Chen, Chun Chen, Chun-An Chen, Chun-Chi Chen, Chun-Fa Chen, Chun-Han Chen, Chun-Houh Chen, Chun-Wei Chen, Chun-Yuan Chen, Chung-Hao Chen, Chung-Hsing Chen, Chung-Hung Chen, Chung-Jen Chen, Chung-Yung Chen, Chunhai Chen, Chunhua Chen, Chunji Chen, Chunjie Chen, Chunlin Chen, Chunnuan Chen, Chunxiu Chen, Chuo Chen, Chuyu Chen, Cindi Chen, Constance Chen, Cuicui Chen, Cuie Chen, Cuilan Chen, Cuimin Chen, Cuncun Chen, D F Chen, D M Chen, D-F Chen, D. Chen, Dafang Chen, Daijie Chen, Daiwen Chen, Daiyu Chen, Dake Chen, Dali Chen, Dan Chen, Dan-Dan Chen, Dandan Chen, Danlei Chen, Danli Chen, Danmei Chen, Danna Chen, Danni Chen, Danxia Chen, Danxiang Chen, Danyang Chen, Danyu Chen, Daoyuan Chen, Dapeng Chen, Dawei Chen, Defang Chen, Dejuan Chen, Delong Chen, Denghui Chen, Dengpeng Chen, Deqian Chen, Dexi Chen, Dexiang Chen, Dexiong Chen, Deying Chen, Deyu Chen, Di Chen, Di-Long Chen, Dian Chen, Dianke Chen, Ding Chen, Diyun Chen, Dong Chen, Dong-Mei Chen, Dong-Yi Chen, Dongli Chen, Donglong Chen, Dongquan Chen, Dongrong Chen, Dongsheng Chen, Dongxue Chen, Dongyan Chen, Dongyin Chen, Du-Qun Chen, Duan-Yu Chen, Duo Chen, Duo-Xue Chen, Duoting Chen, E S Chen, Eleanor Y Chen, Elizabeth H Chen, Elizabeth S Chen, Elizabeth Suchi Chen, Emily Chen, En-Qiang Chen, Erbao Chen, Erfei Chen, Erqu Chen, Erzhen Chen, Everett H Chen, F Chen, F-K Chen, Fa Chen, Fa-Xi Chen, Fahui Chen, Fan Chen, Fang Chen, Fang-Pei Chen, Fang-Yu Chen, Fang-Zhi Chen, Fang-Zhou Chen, Fangfang Chen, Fangli Chen, Fangyan Chen, Fangyuan Chen, Faye H Chen, Fei Chen, Fei Xavier Chen, Feifan Chen, Feifeng Chen, Feilong Chen, Feixue Chen, Feiyang Chen, Feiyu Chen, Feiyue Chen, Feng Chen, Feng-Jung Chen, Feng-Ling Chen, Fenghua Chen, Fengju Chen, Fengling Chen, Fengming Chen, Fengrong Chen, Fengwu Chen, Fengyang Chen, Fred K Chen, Fu Chen, Fu-Shou Chen, Fumei Chen, Fusheng Chen, Fuxiang Chen, Gang Chen, Gao B Chen, Gao Chen, Gao-Feng Chen, Gaoyang Chen, Gaoyu Chen, Gaozhi Chen, Gary Chen, Gary K Chen, Ge Chen, Gen-Der Chen, Geng Chen, Gengsheng Chen, Ginny I Chen, Gong Chen, Gongbo Chen, Gonghai Chen, Gonglie Chen, Guan-Wei Chen, Guang Chen, Guang-Chao Chen, Guang-Yu Chen, Guangchun Chen, Guanghao Chen, Guanghong Chen, Guangjie Chen, Guangju Chen, Guangliang Chen, Guanglong Chen, Guangnan Chen, Guangping Chen, Guangquan Chen, Guangyao Chen, Guangyi Chen, Guangyong Chen, Guanjie Chen, Guanren Chen, Guanyu Chen, Guanzheng Chen, Gui Mei Chen, Gui-Hai Chen, Gui-Lai Chen, Guihao Chen, Guiqian Chen, Guiquan Chen, Guiying Chen, Guo Chen, Guo-Chong Chen, Guo-Jun Chen, Guo-Rong Chen, Guo-qing Chen, Guochao Chen, Guochong Chen, Guofang Chen, Guohong Chen, Guohua Chen, Guojun Chen, Guoliang Chen, Guopu Chen, Guoshun Chen, Guoxun Chen, Guozhong Chen, Guozhou Chen, H Chen, H Q Chen, H T Chen, Hai-Ning Chen, Haibing Chen, Haibo Chen, Haide Chen, Haifeng Chen, Haijiao Chen, Haimin Chen, Haiming Chen, Haining Chen, Haiqin Chen, Haiquan Chen, Haitao Chen, Haiyan Chen, Haiyang Chen, Haiyi Chen, Haiying Chen, Haiyu Chen, Haiyun Chen, Han Chen, Han-Bin Chen, Han-Chun Chen, Han-Hsiang Chen, Han-Min Chen, Hanbei Chen, Hang Chen, Hangang Chen, Hanjing Chen, Hanlin Chen, Hanqing Chen, Hanwen Chen, Hanxi Chen, Hanyong Chen, Hao Chen, Hao Yu Chen, Hao-Zhu Chen, Haobo Chen, Haodong Chen, Haojie Chen, Haoran Chen, Haotai Chen, Haotian Chen, Haoting Chen, Haoyun Chen, Haozhu Chen, Harn-Shen Chen, Haw-Wen Chen, He-Ping Chen, Hebing Chen, Hegang Chen, Hehe Chen, Hekai Chen, Heng Chen, Heng-Sheng Chen, Heng-Yu Chen, Hengsan Chen, Hengsheng Chen, Hengyu Chen, Heni Chen, Herbert Chen, Hetian Chen, Heye Chen, Hong Chen, Hong Yang Chen, Hong-Sheng Chen, Hongbin Chen, Hongbo Chen, Hongen Chen, Honghai Chen, Honghui Chen, Honglei Chen, Hongli Chen, Hongmei Chen, Hongmin Chen, Hongmou Chen, Hongqi Chen, Hongqiao Chen, Hongshan Chen, Hongxiang Chen, Hongxing Chen, Hongxu Chen, Hongyan Chen, Hongyu Chen, Hongyue Chen, Hongzhi Chen, Hou-Tsung Chen, Hou-Zao Chen, Hsi-Hsien Chen, Hsiang-Wen Chen, Hsiao-Jou Cortina Chen, Hsiao-Tan Chen, Hsiao-Wang Chen, Hsiao-Yun Chen, Hsin-Han Chen, Hsin-Hong Chen, Hsin-Hung Chen, Hsin-Yi Chen, Hsiu-Wen Chen, Hsuan-Yu Chen, Hsueh-Fen Chen, Hu Chen, Hua Chen, Hua-Pu Chen, Huachen Chen, Huafei Chen, Huaiyong Chen, Hualan Chen, Huali Chen, Hualin Chen, Huan Chen, Huan-Xin Chen, Huanchun Chen, Huang Chen, Huang-Pin Chen, Huangtao Chen, Huanhua Chen, Huanhuan Chen, Huanxiong Chen, Huaping Chen, Huapu Chen, Huaqiu Chen, Huatao Chen, Huaxin Chen, Huayu Chen, Huei-Rong Chen, Huei-Yan Chen, Huey-Miin Chen, Hui Chen, Hui Mei Chen, Hui-Chun Chen, Hui-Fen Chen, Hui-Jye Chen, Hui-Ru Chen, Hui-Wen Chen, Hui-Xiong Chen, Hui-Zhao Chen, Huichao Chen, Huijia Chen, Huijiao Chen, Huijie Chen, Huimei Chen, Huimin Chen, Huiqin Chen, Huiqun Chen, Huiru Chen, Huishan Chen, Huixi Chen, Huixian Chen, Huizhi Chen, Hung-Chang Chen, Hung-Chi Chen, Hung-Chun Chen, Hung-Po Chen, Hung-Sheng Chen, I-Chun Chen, I-M Chen, Ida Y-D Chen, Irwin Chen, Ivy Xiaoying Chen, J Chen, Jacinda Chen, Jack Chen, Jake Y Chen, Jason A Chen, Jeanne Chen, Jen-Hau Chen, Jen-Sue Chen, Jennifer F Chen, Jenny Chen, Jeremy J W Chen, Ji-ling Chen, Jia Chen, Jia Min Chen, Jia Wei Chen, Jia-De Chen, Jia-Feng Chen, Jia-Lin Chen, Jia-Mei Chen, Jia-Shun Chen, Jiabing Chen, Jiacai Chen, Jiacheng Chen, Jiade Chen, Jiahao Chen, Jiahua Chen, Jiahui Chen, Jiajia Chen, Jiajing Chen, Jiajun Chen, Jiakang Chen, Jiale Chen, Jiali Chen, Jialing Chen, Jiamiao Chen, Jiamin Chen, Jian Chen, Jian-Guo Chen, Jian-Hua Chen, Jian-Jun Chen, Jian-Kang Chen, Jian-Min Chen, Jian-Qiao Chen, Jian-Qing Chen, Jianan Chen, Jianfei Chen, Jiang Chen, Jiang Ye Chen, Jiang-hua Chen, Jianghua Chen, Jiangxia Chen, Jianhua Chen, Jianhui Chen, Jiani Chen, Jianjun Chen, Jiankui Chen, Jianlin Chen, Jianmin Chen, Jianping Chen, Jianshan Chen, Jiansu Chen, Jianxiong Chen, Jianzhong Chen, Jianzhou Chen, Jiao Chen, Jiao-Jiao Chen, Jiaohua Chen, Jiaping Chen, Jiaqi Chen, Jiaqing Chen, Jiaren Chen, Jiarou Chen, Jiawei Chen, Jiawen Chen, Jiaxin Chen, Jiaxu Chen, Jiaxuan Chen, Jiayao Chen, Jiaye Chen, Jiayi Chen, Jiayuan Chen, Jichong Chen, Jie Chen, Jie-Hua Chen, Jiejian Chen, Jiemei Chen, Jien-Jiun Chen, Jihai Chen, Jijun Chen, Jimei Chen, Jin Chen, Jin-An Chen, Jin-Ran Chen, Jin-Shuen Chen, Jin-Wu Chen, Jin-Xia Chen, Jina Chen, Jinbo Chen, Jindong Chen, Jing Chen, Jing-Hsien Chen, Jing-Wen Chen, Jing-Xian Chen, Jing-Yuan Chen, Jing-Zhou Chen, Jingde Chen, Jinghua Chen, Jingjing Chen, Jingli Chen, Jinglin Chen, Jingming Chen, Jingnan Chen, Jingqing Chen, Jingshen Chen, Jingteng Chen, Jinguo Chen, Jingxuan Chen, Jingyao Chen, Jingyi Chen, Jingyuan Chen, Jingzhao Chen, Jingzhou Chen, Jinhao Chen, Jinhuang Chen, Jinli Chen, Jinlun Chen, Jinquan Chen, Jinsong Chen, Jintian Chen, Jinxuan Chen, Jinyan Chen, Jinyong Chen, Jion Chen, Jiong Chen, Jiongyu Chen, Jishun Chen, Jiu-Chiuan Chen, Jiujiu Chen, Jiwei Chen, Jiyan Chen, Jiyuan Chen, Jonathan Chen, Joy J Chen, Juan Chen, Juan-Juan Chen, Juanjuan Chen, Juei-Suei Chen, Juhai Chen, Jui-Chang Chen, Jui-Yu Chen, Jun Chen, Jun-Long Chen, Junchen Chen, Junfei Chen, Jung-Sheng Chen, Junhong Chen, Junhui Chen, Junjie Chen, Junling Chen, Junmin Chen, Junming Chen, Junpan Chen, Junpeng Chen, Junqi Chen, Junqin Chen, Junsheng Chen, Junshi Chen, Junyang Chen, Junyi Chen, Junyu Chen, K C Chen, Kai Chen, Kai-En Chen, Kai-Ming Chen, Kai-Ting Chen, Kai-Yang Chen, Kaifu Chen, Kaijian Chen, Kailang Chen, Kaili Chen, Kaina Chen, Kaiquan Chen, Kan Chen, Kang Chen, Kang-Hua Chen, Kangyong Chen, Kangzhen Chen, Katharine Y Chen, Katherine C Chen, Ke Chen, Kecai Chen, Kehua Chen, Kehui Chen, Kelin Chen, Ken Chen, Kenneth L Chen, Keping Chen, Kequan Chen, Kevin Chen, Kewei Chen, Kexin Chen, Keyan Chen, Keyang Chen, Keying Chen, Keyu Chen, Keyuan Chen, Kuan-Jen Chen, Kuan-Ling Chen, Kuan-Ting Chen, Kuan-Yu Chen, Kuangyang Chen, Kuey Chu Chen, Kui Chen, Kun Chen, Kun-Chieh Chen, Kunmei Chen, Kunpeng Chen, L B Chen, L F Chen, Lan Chen, Lang Chen, Lankai Chen, Lanlan Chen, Lanmei Chen, Le Chen, Le Qi Chen, Lei Chen, Lei-Chin Chen, Lei-Lei Chen, Leijie Chen, Lena W Chen, Leqi Chen, Letian Chen, Lexia Chen, Li Chen, Li Jia Chen, Li-Chieh Chen, Li-Hsien Chen, Li-Hsin Chen, Li-Hua Chen, Li-Jhen Chen, Li-Juan Chen, Li-Mien Chen, Li-Nan Chen, Li-Tzong Chen, Li-Zhen Chen, Li-hong Chen, Lian Chen, Lianfeng Chen, Liang Chen, Liang-Kung Chen, Liangkai Chen, Liangsheng Chen, Liangwan Chen, Lianmin Chen, Liaobin Chen, Lichang Chen, Lichun Chen, Lidian Chen, Lie Chen, Liechun Chen, Lifang Chen, Lifen Chen, Lifeng Chen, Ligang Chen, Lihong Chen, Lihua Chen, Lijin Chen, Lijuan Chen, Lili Chen, Limei Chen, Limin Chen, Liming Chen, Lin Chen, Lina Chen, Linbo Chen, Ling Chen, Ling-Yan Chen, Lingfeng Chen, Lingjun Chen, Lingli Chen, Lingxia Chen, Lingxue Chen, Lingyi Chen, Linjie Chen, Linlin Chen, Linna Chen, Linxi Chen, Linyi Chen, Liping Chen, Liqiang Chen, Liugui Chen, Liujun Chen, Liutao Chen, Lixia Chen, Lixian Chen, Liyun Chen, Lizhen Chen, Lizhu Chen, Lo-Yun Chen, Long Chen, Long-Jiang Chen, Longqing Chen, Longyun Chen, Lu Chen, Lu Hua Chen, Lu-Biao Chen, Lu-Zhu Chen, Lulu Chen, Luming Chen, Luyi Chen, Luzhu Chen, M Chen, M L Chen, Man Chen, Man-Hua Chen, Mao Chen, Mao-Yuan Chen, Maochong Chen, Maorong Chen, Marcus Y Chen, Mark I-Cheng Chen, Max Jl Chen, Mechi Chen, Mei Chen, Mei-Chi Chen, Mei-Chih Chen, Mei-Hsiu Chen, Mei-Hua Chen, Mei-Jie Chen, Mei-Ling Chen, Mei-Ru Chen, Meilan Chen, Meilin Chen, Meiling Chen, Meimei Chen, Meiting Chen, Meiyang Chen, Meiyu Chen, Meizhen Chen, Meng Chen, Meng Xuan Chen, Meng-Lin Chen, Meng-Ping Chen, Mengdi Chen, Menglan Chen, Mengling Chen, Mengping Chen, Mengqing Chen, Mengting Chen, Mengxia Chen, Mengyan Chen, Mengying Chen, Mian-Mian Chen, Miao Chen, Miao-Der Chen, Miao-Hsueh Chen, Miao-Yu Chen, Miaomiao Chen, Miaoran Chen, Michael C Chen, Michelle Chen, Mien-Cheng Chen, Min Chen, Min-Hsuan Chen, Min-Hu Chen, Min-Jie Chen, Ming Chen, Ming-Fong Chen, Ming-Han Chen, Ming-Hong Chen, Ming-Huang Chen, Ming-Huei Chen, Ming-Yu Chen, Mingcong Chen, Mingfeng Chen, Minghong Chen, Minghua Chen, Minglang Chen, Mingling Chen, Mingmei Chen, Mingxia Chen, Mingxing Chen, Mingyang Chen, Mingyi Chen, Mingyue Chen, Minjian Chen, Minjiang Chen, Minjie Chen, Minyan Chen, Mo Chen, Mu-Hong Chen, Muh-Shy Chen, Mulan Chen, Mystie X Chen, Na Chen, Naifei Chen, Naisong Chen, Nan Chen, Ni Chen, Nian-Ping Chen, Ning Chen, Ning-Bo Chen, Ning-Hung Chen, Ning-Yuan Chen, Ningbo Chen, Ningning Chen, Nuan Chen, On Chen, Ou Chen, Ouyang Chen, P P Chen, Pan Chen, Paul Chih-Hsueh Chen, Pei Chen, Pei-Chen Chen, Pei-Chun Chen, Pei-Lung Chen, Pei-Yi Chen, Pei-Yin Chen, Pei-zhan Chen, Peihong Chen, Peipei Chen, Peiqin Chen, Peixian Chen, Peiyou Chen, Peiyu Chen, Peize Chen, Peizhan Chen, Peng Chen, Peng-Cheng Chen, Pengxiang Chen, Ping Chen, Ping-Chung Chen, Ping-Kun Chen, Pingguo Chen, Po-Han Chen, Po-Ju Chen, Po-Min Chen, Po-See Chen, Po-Sheng Chen, Po-Yu Chen, Qi Chen, Qi-An Chen, Qian Chen, Qianbo Chen, Qianfen Chen, Qiang Chen, Qiangpu Chen, Qiankun Chen, Qianling Chen, Qianming Chen, Qianping Chen, Qianqian Chen, Qianxue Chen, Qianyi Chen, Qianyu Chen, Qianyun Chen, Qianzhi Chen, Qiao Chen, Qiao-Yi Chen, Qiaoli Chen, Qiaoling Chen, Qichen Chen, Qifang Chen, Qihui Chen, Qili Chen, Qinfen Chen, Qing Chen, Qing-Hui Chen, Qing-Juan Chen, Qing-Wei Chen, Qingao Chen, Qingchao Chen, Qingchuan Chen, Qingguang Chen, Qinghao Chen, Qinghua Chen, Qingjiang Chen, Qingjie Chen, Qingliang Chen, Qingmei Chen, Qingqing Chen, Qingqiu Chen, Qingshi Chen, Qingxing Chen, Qingyang Chen, Qingyi Chen, Qinian Chen, Qinsheng Chen, Qinying Chen, Qiong Chen, Qiongyun Chen, Qiqi Chen, Qitong Chen, Qiu Jing Chen, Qiu-Jing Chen, Qiu-Sheng Chen, Qiuchi Chen, Qiuhong Chen, Qiujing Chen, Qiuli Chen, Qiuwen Chen, Qiuxia Chen, Qiuxiang Chen, Qiuxuan Chen, Qiuyun Chen, Qiwei Chen, Qixian Chen, Qu Chen, Quan Chen, Quanjiao Chen, Quanwei Chen, Qunxiang Chen, R Chen, Ran Chen, Ranyun Chen, Ray-Jade Chen, Ren-Hui Chen, Renjin Chen, Renwei Chen, Renyu Chen, Robert Chen, Roger Chen, Rong Chen, Rong-Hua Chen, Rongfang Chen, Rongfeng Chen, Rongrong Chen, Rongsheng Chen, Rongyuan Chen, Roufen Chen, Rouxi Chen, Ru Chen, Rucheng Chen, Ruey-Hwa Chen, Rui Chen, Rui-Fang Chen, Rui-Min Chen, Rui-Pei Chen, Rui-Zhen Chen, Ruiai Chen, Ruibing Chen, Ruijing Chen, Ruijuan Chen, Ruilin Chen, Ruimin Chen, Ruiming Chen, Ruiqi Chen, Ruisen Chen, Ruixiang Chen, Ruixue Chen, Ruiying Chen, Rujun Chen, Runfeng Chen, Runsen Chen, Runsheng Chen, Ruofan Chen, Ruohong Chen, Ruonan Chen, Ruoyan Chen, Ruoying Chen, S Chen, S N Chen, S Pl Chen, S-D Chen, Sai Chen, San-Yuan Chen, Sean Chen, Sen Chen, Shali Chen, Shan Chen, Shanchun Chen, Shang-Chih Chen, Shang-Hung Chen, Shangduo Chen, Shangsi Chen, Shangwu Chen, Shangzhong Chen, Shanshan Chen, Shanyuan Chen, Shao-Ke Chen, Shao-Peng Chen, Shao-Wei Chen, Shao-Yu Chen, Shao-long Chen, Shaofei Chen, Shaohong Chen, Shaohua Chen, Shaokang Chen, Shaokun Chen, Shaoliang Chen, Shaotao Chen, Shaoxing Chen, Shaoze Chen, Shasha Chen, She Chen, Shen Chen, Shen-Ming Chen, Sheng Chen, Sheng-Xi Chen, Sheng-Yi Chen, Shengdi Chen, Shenghui Chen, Shenglan Chen, Shengnan Chen, Shengpan Chen, Shengyu Chen, Shengzhi Chen, Shi Chen, Shi-Qing Chen, Shi-Sheng Chen, Shi-Yi Chen, Shi-You Chen, Shibo Chen, Shih-Jen Chen, Shih-Pin Chen, Shih-Yin Chen, Shih-Yu Chen, Shilan Chen, Shiming Chen, Shin-Wen Chen, Shin-Yu Chen, Shipeng Chen, Shiqian Chen, Shiqun Chen, Shirui Chen, Shiuhwei Chen, Shiwei Chen, Shixuan Chen, Shiyan Chen, Shiyao Chen, Shiyi Chen, Shiyu Chen, Shou-Tung Chen, Shoudeng Chen, Shoujun Chen, Shouzhen Chen, Shu Chen, Shu-Fen Chen, Shu-Gang Chen, Shu-Hua Chen, Shu-Jen Chen, Shuai Chen, Shuai-Bing Chen, Shuai-Ming Chen, Shuaijie Chen, Shuaijun Chen, Shuaiyin Chen, Shuaiyu Chen, Shuang Chen, Shuangfeng Chen, Shuanghui Chen, Shuchun Chen, Shuen-Ei Chen, Shufang Chen, Shufeng Chen, Shuhai Chen, Shuhong Chen, Shuhuang Chen, Shuhui Chen, Shujuan Chen, Shuliang Chen, Shuming Chen, Shunde Chen, Shuntai Chen, Shunyou Chen, Shuo Chen, Shuo-Bin Chen, Shuoni Chen, Shuqin Chen, Shuqiu Chen, Shuting Chen, Shuwen Chen, Shuyi Chen, Shuying Chen, Si Chen, Si-Ru Chen, Si-Yuan Chen, Si-Yue Chen, Si-guo Chen, Sien-Tsong Chen, Sifeng Chen, Sihui Chen, Sijia Chen, Sijuan Chen, Sili Chen, Silian Chen, Siping Chen, Siqi Chen, Siqin Chen, Sisi Chen, Siteng Chen, Siting Chen, Siyi Chen, Siyu Chen, Siyu S Chen, Siyuan Chen, Siyue Chen, Size Chen, Song Chen, Song-Mei Chen, Songfeng Chen, Suet N Chen, Suet Nee Chen, Sufang Chen, Suipeng Chen, Sulian Chen, Suming Chen, Sun Chen, Sung-Fang Chen, Suning Chen, Sunny Chen, Sy-Jou Chen, Syue-Ting Chen, Szu-Chi Chen, Szu-Chia Chen, Szu-Chieh Chen, Szu-Han Chen, Szu-Yun Chen, T Chen, Tai-Heng Chen, Tai-Tzung Chen, Tailai Chen, Tan-Zhou Chen, Tania Chen, Tao Chen, Tian Chen, Tianfeng Chen, Tianhang Chen, Tianhong Chen, Tianhua Chen, Tianpeng Chen, Tianran Chen, Tianrui Chen, Tiantian Chen, Tianzhen Chen, Tielin Chen, Tien-Hsing Chen, Ting Chen, Ting-Huan Chen, Ting-Tao Chen, Ting-Ting Chen, Tingen Chen, Tingtao Chen, Tingting Chen, Tom Wei-Wu Chen, Tong Chen, Tongsheng Chen, Tse-Ching Chen, Tse-Wei Chen, TsungYen Chen, Tuantuan Chen, Tzu-An Chen, Tzu-Chieh Chen, Tzu-Ju Chen, Tzu-Ting Chen, Tzu-Yu Chen, Tzy-Yen Chen, Valerie Chen, W Chen, Wai Chen, Wan Jun Chen, Wan-Tzu Chen, Wan-Yan Chen, Wan-Yi Chen, Wanbiao Chen, Wanjia Chen, Wanjun Chen, Wanling Chen, Wantao Chen, Wanting Chen, Wanyin Chen, Wei Chen, Wei J Chen, Wei Ning Chen, Wei-Cheng Chen, Wei-Cong Chen, Wei-Fei Chen, Wei-Hao Chen, Wei-Hui Chen, Wei-Kai Chen, Wei-Kung Chen, Wei-Lun Chen, Wei-Min Chen, Wei-Peng Chen, Wei-Ting Chen, Wei-Wei Chen, Wei-Yu Chen, Wei-xian Chen, Weibo Chen, Weican Chen, Weichan Chen, Weicong Chen, Weihao Chen, Weihong Chen, Weihua Chen, Weijia Chen, Weijie Chen, Weili Chen, Weilun Chen, Weina Chen, Weineng Chen, Weiping Chen, Weiqin Chen, Weiqing Chen, Weirui Chen, Weisan Chen, Weitao Chen, Weitian Chen, Weiwei Chen, Weixian Chen, Weixin Chen, Weiyi Chen, Weiyong Chen, Wen Chen, Wen-Chau Chen, Wen-Jie Chen, Wen-Pin Chen, Wen-Qi Chen, Wen-Tsung Chen, Wen-Yi Chen, Wenbiao Chen, Wenbing Chen, Wenfan Chen, Wenfang Chen, Wenhao Chen, Wenhua Chen, Wenjie Chen, Wenjun Chen, Wenlong Chen, Wenqin Chen, Wensheng Chen, Wenshuo Chen, Wentao Chen, Wenting Chen, Wentong Chen, Wenwen Chen, Wenwu Chen, Wenxi Chen, Wenxing Chen, Wenxu Chen, Willian Tzu-Liang Chen, Wu-Jun Chen, Wu-Xian Chen, Wuyan Chen, X Chen, X R Chen, X Steven Chen, Xi Chen, Xia Chen, Xia-Fei Chen, Xiaguang Chen, Xiameng Chen, Xian Chen, Xian-Kai Chen, Xianbo Chen, Xiancheng Chen, Xianfeng Chen, Xiang Chen, Xiang-Bin Chen, Xiang-Mei Chen, XiangFan Chen, Xiangding Chen, Xiangjun Chen, Xiangli Chen, Xiangliu Chen, Xiangmei Chen, Xiangna Chen, Xiangning Chen, Xiangqiu Chen, Xiangyu Chen, Xiankai Chen, Xianmei Chen, Xianqiang Chen, Xianxiong Chen, Xianyue Chen, Xianze Chen, Xianzhen Chen, Xiao Chen, Xiao-Chen Chen, Xiao-Hui Chen, Xiao-Jun Chen, Xiao-Lin Chen, Xiao-Qing Chen, Xiao-Quan Chen, Xiao-Wei Chen, Xiao-Yang Chen, Xiao-Ying Chen, Xiao-chun Chen, Xiao-he Chen, Xiao-ping Chen, Xiaobin Chen, Xiaobo Chen, Xiaochang Chen, Xiaochun Chen, Xiaodong Chen, Xiaofang Chen, Xiaofen Chen, Xiaofeng Chen, Xiaohan Chen, Xiaohong Chen, Xiaohua Chen, Xiaohui Chen, Xiaojiang S Chen, Xiaojie Chen, Xiaojing Chen, Xiaojuan Chen, Xiaojun Chen, Xiaokai Chen, Xiaolan Chen, Xiaole L Chen, Xiaolei Chen, Xiaoli Chen, Xiaolin Chen, Xiaoling Chen, Xiaolong Chen, Xiaolu Chen, Xiaomeng Chen, Xiaomin Chen, Xiaona Chen, Xiaonan Chen, Xiaopeng Chen, Xiaoping Chen, Xiaoqian Chen, Xiaoqing Chen, Xiaorong Chen, Xiaoshan Chen, Xiaotao Chen, Xiaoting Chen, Xiaowan Chen, Xiaowei Chen, Xiaowen Chen, Xiaoxiang Chen, Xiaoxiao Chen, Xiaoyan Chen, Xiaoyang Chen, Xiaoyin Chen, Xiaoyong Chen, Xiaoyu Chen, Xiaoyuan Chen, Xiaoyun Chen, Xiatian Chen, Xihui Chen, Xijun Chen, Xikun Chen, Ximei Chen, Xin Chen, Xin-Jie Chen, Xin-Ming Chen, Xin-Qi Chen, Xinan Chen, Xing Chen, Xing-Lin Chen, Xing-Long Chen, Xing-Zhen Chen, Xingdong Chen, Xinghai Chen, Xingxing Chen, Xingyi Chen, Xingyong Chen, Xingyu Chen, Xinji Chen, Xinlin Chen, Xinpu Chen, Xinqiao Chen, Xinwei Chen, Xinyan Chen, Xinyang Chen, Xinyi Chen, Xinyu Chen, Xinyuan Chen, Xinyue Chen, Xinzhuo Chen, Xiong Chen, Xiqun Chen, Xiu Chen, Xiu-Juan Chen, Xiuhui Chen, Xiujuan Chen, Xiuli Chen, Xiuping Chen, Xiuxiu Chen, Xiuyan Chen, Xixi Chen, Xiyao Chen, Xiyu Chen, Xu Chen, Xuan Chen, Xuancai Chen, Xuanjing Chen, Xuanli Chen, Xuanmao Chen, Xuanwei Chen, Xuanxu Chen, Xuanyi Chen, Xue Chen, Xue-Mei Chen, Xue-Qing Chen, Xue-Xin Chen, Xue-Yan Chen, Xue-Ying Chen, XueShu Chen, Xuechun Chen, Xuefei Chen, Xuehua Chen, Xuejiao Chen, Xuejun Chen, Xueli Chen, Xueling Chen, Xuemei Chen, Xuemin Chen, Xueqin Chen, Xueqing Chen, Xuerong Chen, Xuesong Chen, Xueting Chen, Xueyan Chen, Xueying Chen, Xufeng Chen, Xuhui Chen, Xujia Chen, Xun Chen, Xuxiang Chen, Xuxin Chen, Xuzhuo Chen, Y Chen, Y D I Chen, Y Eugene Chen, Y M Chen, Y P Chen, Y S Chen, Y U Chen, Y-D I Chen, Y-D Ida Chen, Ya Chen, Ya-Chun Chen, Ya-Nan Chen, Ya-Peng Chen, Ya-Ting Chen, Ya-xi Chen, Yafang Chen, Yafei Chen, Yahong Chen, Yajie Chen, Yajing Chen, Yajun Chen, Yalan Chen, Yali Chen, Yan Chen, Yan Jie Chen, Yan Q Chen, Yan-Gui Chen, Yan-Jun Chen, Yan-Ming Chen, Yan-Qiong Chen, Yan-yan Chen, Yanan Chen, Yananlan Chen, Yanbin Chen, Yanfei Chen, Yanfen Chen, Yang Chen, Yang-Ching Chen, Yang-Yang Chen, Yangchao Chen, Yanghui Chen, Yangxin Chen, Yanhan Chen, Yanhua Chen, Yanjie Chen, Yanjing Chen, Yanli Chen, Yanlin Chen, Yanling Chen, Yanming Chen, Yann-Jang Chen, Yanping Chen, Yanqiu Chen, Yanrong Chen, Yanru Chen, Yanting Chen, Yanyan Chen, Yanyun Chen, Yanzhu Chen, Yanzi Chen, Yao Chen, Yao-Shen Chen, Yaodong Chen, Yaosheng Chen, Yaowu Chen, Yau-Hung Chen, Yaxi Chen, Yayun Chen, Yazhuo Chen, Ye Chen, Ye-Guang Chen, Yeh Chen, Yelin Chen, Yen-Chang Chen, Yen-Chen Chen, Yen-Cheng Chen, Yen-Ching Chen, Yen-Fu Chen, Yen-Hao Chen, Yen-Hsieh Chen, Yen-Jen Chen, Yen-Ju Chen, Yen-Lin Chen, Yen-Ling Chen, Yen-Ni Chen, Yen-Rong Chen, Yen-Teen Chen, Yewei Chen, Yi Chen, Yi Feng Chen, Yi-Bing Chen, Yi-Chun Chen, Yi-Chung Chen, Yi-Fei Chen, Yi-Guang Chen, Yi-Han Chen, Yi-Hau Chen, Yi-Heng Chen, Yi-Hong Chen, Yi-Hsuan Chen, Yi-Hui Chen, Yi-Jen Chen, Yi-Lin Chen, Yi-Ru Chen, Yi-Ting Chen, Yi-Wen Chen, Yi-Yung Chen, YiChung Chen, YiPing Chen, Yian Chen, Yibing Chen, Yibo Chen, Yidan Chen, Yiding Chen, Yidong Chen, Yiduo Chen, Yifa Chen, Yifan Chen, Yifang Chen, Yifei Chen, Yih-Chieh Chen, Yihao Chen, Yihong Chen, Yii-Der Chen, Yii-Der I Chen, Yii-Derr Chen, Yii-der Ida Chen, Yijiang Chen, Yijun Chen, Yike Chen, Yilan Chen, Yilei Chen, Yili Chen, Yilin Chen, Yiming Chen, Yin-Huai Chen, Ying Chen, Ying-Cheng Chen, Ying-Hsiang Chen, Ying-Jie Chen, Ying-Jung Chen, Ying-Lan Chen, Ying-Ying Chen, Yingchun Chen, Yingcong Chen, Yinghui Chen, Yingji Chen, Yingjie Chen, Yinglian Chen, Yingting Chen, Yingxi Chen, Yingying Chen, Yingyu Chen, Yinjuan Chen, Yintong Chen, Yinwei Chen, Yinzhu Chen, Yiru Chen, Yishan Chen, Yisheng Chen, Yitong Chen, Yixin Chen, Yiyin Chen, Yiyun Chen, Yizhi Chen, Yong Chen, Yong-Jun Chen, Yong-Ping Chen, Yong-Syuan Chen, Yong-Zhong Chen, YongPing Chen, Yongbin Chen, Yongfa Chen, Yongfang Chen, Yongheng Chen, Yonghui Chen, Yongke Chen, Yonglu Chen, Yongmei Chen, Yongming Chen, Yongning Chen, Yongqi Chen, Yongshen Chen, Yongshuo Chen, Yongxing Chen, Yongxun Chen, You-Ming Chen, You-Xin Chen, You-Yue Chen, Youhu Chen, Youjia Chen, Youmeng Chen, Youran Chen, Youwei Chen, Yu Chen, Yu-Bing Chen, Yu-Cheng Chen, Yu-Chi Chen, Yu-Chia Chen, Yu-Chuan Chen, Yu-Fan Chen, Yu-Fen Chen, Yu-Fu Chen, Yu-Gen Chen, Yu-Han Chen, Yu-Hui Chen, Yu-Ling Chen, Yu-Ming Chen, Yu-Pei Chen, Yu-San Chen, Yu-Si Chen, Yu-Ting Chen, Yu-Tung Chen, Yu-Xia Chen, Yu-Xin Chen, Yu-Yang Chen, Yu-Ying Chen, Yuan Chen, Yuan-Hua Chen, Yuan-Shen Chen, Yuan-Tsong Chen, Yuan-Yuan Chen, Yuan-Zhen Chen, Yuanbin Chen, Yuanhao Chen, Yuanjia Chen, Yuanjian Chen, Yuanli Chen, Yuanqi Chen, Yuanwei Chen, Yuanwen Chen, Yuanyu Chen, Yuanyuan Chen, Yubin Chen, Yucheng Chen, Yue Chen, Yue-Lai Chen, Yuebing Chen, Yueh-Peng Chen, Yuelei Chen, Yuewen Chen, Yuewu Chen, Yuexin Chen, Yuexuan Chen, Yufei Chen, Yufeng Chen, Yuh-Lien Chen, Yuh-Ling Chen, Yuh-Min Chen, Yuhan Chen, Yuhang Chen, Yuhao Chen, Yuhong Chen, Yuhui Chen, Yujie Chen, Yule Chen, Yuli Chen, Yulian Chen, Yulin Chen, Yuling Chen, Yulong Chen, Yulu Chen, Yumei Chen, Yun Chen, Yun-Ju Chen, Yun-Tzu Chen, Yun-Yu Chen, Yundai Chen, Yunfei Chen, Yunfeng Chen, Yung-Hsiang Chen, Yung-Wu Chen, Yunjia Chen, Yunlin Chen, Yunn-Yi Chen, Yunqin Chen, Yunshun Chen, Yunwei Chen, Yunyun Chen, Yunzhong Chen, Yunzhu Chen, Yupei Chen, Yupeng Chen, Yuping Chen, Yuqi Chen, Yuqin Chen, Yuqing Chen, Yuquan Chen, Yurong Chen, Yushan Chen, Yusheng Chen, Yusi Chen, Yuting Chen, Yutong Chen, Yuxi Chen, Yuxian Chen, Yuxiang Chen, Yuxin Chen, Yuxing Chen, Yuyan Chen, Yuyang Chen, Yuyao Chen, Z Chen, Zan Chen, Zaozao Chen, Ze-Hui Chen, Ze-Xu Chen, Zechuan Chen, Zemin Chen, Zetian Chen, Zexiao Chen, Zeyu Chen, Zhanfei Chen, Zhang-Liang Chen, Zhang-Yuan Chen, Zhangcheng Chen, Zhanghua Chen, Zhangliang Chen, Zhanglin Chen, Zhangxin Chen, Zhanjuan Chen, Zhao Chen, Zhao-Xia Chen, ZhaoHui Chen, Zhaojun Chen, Zhaoli Chen, Zhaolin Chen, Zhaoran Chen, Zhaowei Chen, Zhaoyao Chen, Zhe Chen, Zhe-Ling Chen, Zhe-Sheng Chen, Zhe-Yu Chen, Zhebin Chen, Zhehui Chen, Zhelin Chen, Zhen Bouman Chen, Zhen Chen, Zhen-Hua Chen, Zhen-Yu Chen, Zhencong Chen, Zhenfeng Chen, Zheng Chen, Zheng-Zhen Chen, Zhenghong Chen, Zhengjun Chen, Zhengling Chen, Zhengming Chen, Zhenguo Chen, Zhengwei Chen, Zhengzhi Chen, Zhenlei Chen, Zhenyi Chen, Zhenyue Chen, Zheping Chen, Zheren Chen, Zhesheng Chen, Zheyi Chen, Zhezhe Chen, Zhi Bin Chen, Zhi Chen, Zhi-Hao Chen, Zhi-bin Chen, Zhi-zhe Chen, Zhiang Chen, Zhichuan Chen, Zhifeng Chen, Zhigang Chen, Zhigeng Chen, Zhiguo Chen, Zhihai Chen, Zhihang Chen, Zhihao Chen, Zhiheng Chen, Zhihong Chen, Zhijian Chen, Zhijian J Chen, Zhijing Chen, Zhijun Chen, Zhimin Chen, Zhinan Chen, Zhiping Chen, Zhiqiang Chen, Zhiquan Chen, Zhishi Chen, Zhitao Chen, Zhiting Chen, Zhiwei Chen, Zhixin Chen, Zhixuan Chen, Zhixue Chen, Zhiyong Chen, Zhiyu Chen, Zhiyuan Chen, Zhiyun Chen, Zhizhong Chen, Zhong Chen, Zhongbo Chen, Zhonghua Chen, Zhongjian Chen, Zhongliang Chen, Zhongxiu Chen, Zhongzhu Chen, Zhou Chen, Zhouji Chen, Zhouliang Chen, Zhoulong Chen, Zhouqing Chen, Zhuchu Chen, Zhujun Chen, Zhuo Chen, Zhuo-Yuan Chen, ZhuoYu Chen, Zhuohui Chen, Zhuojia Chen, Zi-Jiang Chen, Zi-Qing Chen, Zi-Yang Chen, Zi-Yue Chen, Zi-Yun Chen, Zian Chen, Zifan Chen, Zihan Chen, Zihang Chen, Zihao Chen, Zihe Chen, Zihua Chen, Zijie Chen, Zike Chen, Zilin Chen, Zilong Chen, Ziming Chen, Zinan Chen, Ziqi Chen, Ziqing Chen, Zitao Chen, Zixi Chen, Zixin Chen, Zixuan Chen, Ziying Chen, Ziyuan Chen, Zoe Chen, Zongming E Chen, Zongnan Chen, Zongyou Chen, Zongzheng Chen, Zugen Chen, Zuolong Chen
articles
Yan Fu, Xueying Wang, Jinfan Zhang +10 more · 2026 · European journal of endocrinology · Oxford University Press · added 2026-04-24
To characterize whole-brain cortical thickness alteration in Kallmann syndrome (KS), assess its correlation with cognitive impairment, and explore the genetic association and extrapolated transcriptio Show more
To characterize whole-brain cortical thickness alteration in Kallmann syndrome (KS), assess its correlation with cognitive impairment, and explore the genetic association and extrapolated transcriptional underpinning. We prospectively recruited 100 patients with KS and 100 age- and sex-matched healthy controls. All participants underwent high-resolution structural MRI and a comprehensive neuropsychological assessment targeting global cognition (Montreal Cognitive Assessment, MoCA), executive function and inhibitory control (Stroop Color and Word Test, SCWT), cognitive flexibility (Trail Making Test, TMT), working memory (Digit Span Test, DST), and visuospatial memory (Visual Reproduction task, VR). Cortical thickness and subcortical volumes were quantified using FreeSurfer. In the KS cohort, we examined brain-cognition correlations, performed exploratory genetic association analysis using whole-exome sequencing, and conducted extrapolated neuroimaging-transcription analysis using the Allen Human Brain Atlas (http://human.brain-map.org/) to identify underlying biological pathways. Compared to the healthy controls, patients with KS exhibited significant cognitive deficits, with 36% MoCA scoring below the clinical cutoff for cognitive impairment. Domain-specific analysis revealed impairments in SCWT-C, DST-Backward, TMT-B, and VR (all P-value < .05). Structurally, patients showed bilateral increased cortical thickness predominantly in the fronto-limbic circuit (orbitofrontal and subgenual cingulate cortices) and default mode network (voxel P-value < .001, cluster random field theory corrected P-value < .05), alongside bilateral hippocampal enlargement (P-FDR = .048). Crucially, the cortical thickness in these fronto-limbic regions was negatively correlated with SCWT-C and DST. Exploratory genetic analysis linked variants in genes such as OTUD4 and FGFR1 to cognitive variability (TMT-A and VR). Furthermore, the spatial pattern of cortical thickening was significantly associated with extrapolated gene expression profiles enriched for neurodevelopment, neuronal migration, and synaptic function. This study identified cortical thickening involved in fronto-limbic and default mode network as key neuroanatomical signatures of the patients with KS, which was associated with cognitive impairment. Specific genetic variants may further modulate the structural alterations and cognitive functioning in patients with KS. Show less
no PDF DOI: 10.1093/ejendo/lvag019
FGFR1
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
Cheng Yi, Yunqing Lu, Xing Chang +15 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Breast cancer (BC) progression is intricately linked to the dysregulation of transfer RNA-derived fragments (tRFs). Through comprehensive analysis of The Cancer Genome Atlas (TCGA) data, it is demonst Show more
Breast cancer (BC) progression is intricately linked to the dysregulation of transfer RNA-derived fragments (tRFs). Through comprehensive analysis of The Cancer Genome Atlas (TCGA) data, it is demonstrated that 5'tRF-GlyGCC is overexpressed in BC tissues and negatively associated with patients' survival. Mechanistically, 5'tRF-GlyGCC binds to lactate dehydrogenase A (LDHA), enhancing its enzymatic activity and promoting glycolysis, which drives BC cell malignancy. This binding is mediated by the phosphorylation of LDHA at tyrosine 10, and facilitated by fibroblast growth factor receptor 1 (FGFR1), through the formation of a ternary complex that amplifies oncogenic signaling. Furthermore, 5'tRF-GlyGCC/LDHA axis induces macrophage infiltration and polarization toward an M2 phenotype, mediated by the chemokine CCL7, thereby reshaping the tumor microenvironment. Additionally, it is uncovered that the biogenesis of 5'tRF-GlyGCC is regulated by ALKBH3 and ANG, which also modulate LDHA activity. In vivo, targeting 5'tRF-GlyGCC/LDHA signaling significantly suppresses tumor growth and enhances the efficacy of immunotherapy. Collectively, these findings elucidate the pivotal role of 5'tRF-GlyGCC in BC progression, highlighting its potential as therapeutic target for BC treatment. Show less
📄 PDF DOI: 10.1002/advs.202514031
FGFR1
Yuting Li, Pingchuan Zhang, Jun Guan +8 more · 2026 · Clinical genetics · Blackwell Publishing · added 2026-04-24
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the w Show more
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH. Show less
no PDF DOI: 10.1111/cge.70114
FGFR1
Guojun Yang, Yong Ren, Ping Zhong +7 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
A plethora of factors contribute to cognitive impairment in Alzheimer's disease (AD), including neuroinflammation, synaptic dysfunction and gene alteration. In search of transcription factors controll Show more
A plethora of factors contribute to cognitive impairment in Alzheimer's disease (AD), including neuroinflammation, synaptic dysfunction and gene alteration. In search of transcription factors controlling dysregulated genes in AD, we identified that the histone demethylase PHF2 (KDM7C) was a top-ranking candidate. Significant upregulation of PHF2 was found in AD human postmortem tissues, iPSC-derived neurons from AD patients, and a familial AD mouse model (5xFAD). ChIP-seq analysis and quantitative PCR profiling with bidirectional manipulation of Phf2 revealed that Phf2 regulated many genes critically involved in inflammatory pathways and neurodegeneration, including Stat3, Nfkbia, Nfkb2, Tnfrsf1a, Fgfr1, IL6st, Notch2, and Csf1. Knockdown of Phf2 in 5xFAD mice reduced the expression of inflammatory genes, leading to the substantial reduction of microglia/astrocyte activation and the restoration of glutamatergic synaptic function. Behavioral studies showed that Phf2 knockdown in 5xFAD mice significantly improved performance in the Barnes maze test, indicating a mitigation of spatial memory deficits. Our findings have revealed the epigenetic enzyme PHF2 as a regulator of neuroinflammatory processes in AD, linking its activity to both gene expression and cognitive outcomes. It suggests that targeting PHF2 could be a novel therapeutic approach for AD and other brain disorders involving neuroinflammation. Show less
📄 PDF DOI: 10.1038/s41380-025-03181-z
FGFR1
Jun An, Sihui Wu, Kexin Guo +4 more · 2026 · American journal of medical genetics. Part A · Wiley · added 2026-04-24
Molecular genetic testing was performed on a fetus with ectrodactyly of the right foot to clarify the pathogenic cause and provide evidence for prenatal counseling. Trio whole-exome sequencing (trio-W Show more
Molecular genetic testing was performed on a fetus with ectrodactyly of the right foot to clarify the pathogenic cause and provide evidence for prenatal counseling. Trio whole-exome sequencing (trio-WES) was performed on the fetus and his parents to identify the underlying genetic cause. Candidate variants were validated by Sanger sequencing, and their molecular effects were analyzed through minigene assays. Trio-WES identified a novel heterozygous variant (c.1977+1G>C) in FGFR1, which is consistent with FGFR1-related Hartsfield syndrome (HS; OMIM#615465). Sanger sequencing confirmed that this variant was de novo. The minigene assay revealed that all variants (c.1977+1G>C, c.1977+1G>A, and c.1977+1G>T) at the splice site generated two aberrant splicing events: (1) complete retention of intron 14, leading to a frameshift and premature termination codon; and (2) skipping of exon 14, causing an in-frame deletion of 41 amino acids. These events collectively impaired the function of the FGFR1 protein's tyrosine kinase domain. To our knowledge, prenatal reports of FGFR1-related HS remain extremely limited, and this is the first molecularly confirmed prenatal diagnosis of HS in China. The findings not only expand the mutational spectrum of HS but also provide genetic counseling and reproductive guidance for this family. Show less
no PDF DOI: 10.1002/ajmg.a.64226
FGFR1
Xiaohua Gong, Ayman Akil, Boris Grinshpun +6 more · 2026 · Journal of chemotherapy (Florence, Italy) · Taylor & Francis · added 2026-04-24
Pemigatinib is a selective, potent, orally administered inhibitor of fibroblast growth factor receptor (FGFR)1-3 with antitumor activity in multiple solid tumors. Pemigatinib is used to treat adults w Show more
Pemigatinib is a selective, potent, orally administered inhibitor of fibroblast growth factor receptor (FGFR)1-3 with antitumor activity in multiple solid tumors. Pemigatinib is used to treat adults with previously treated metastatic or surgically unresectable cholangiocarcinoma with Show less
no PDF DOI: 10.1080/1120009X.2025.2497641
FGFR1
Zhenyi Chen, Min Yang, Xiaoxiao Liang +8 more · 2026 · Cancer science · Blackwell Publishing · added 2026-04-24
Osteosarcoma, the most common primary malignant bone tumor with poor prognosis, underscores the need for a deeper understanding of its molecular mechanisms. Recent studies have highlighted the importa Show more
Osteosarcoma, the most common primary malignant bone tumor with poor prognosis, underscores the need for a deeper understanding of its molecular mechanisms. Recent studies have highlighted the importance of RNA modifications, including 5-methylcytosine (m5C), in cancer progression, yet the m5C modification landscape in osteosarcoma remains unexplored. Here, we performed transcriptome-wide profiling of m5C modifications in osteosarcoma using meRIP-seq and RNA-seq, analyzing four pairs of osteosarcoma and adjacent normal tissues. Furthermore, through conjunction analyses of meRIP-seq and RNA-seq data, we identified 637 genes with significant changes in both the m5C modification and mRNA levels. Among these, GPRC5B emerged as a key prognostic gene, with its high expression and m5C hypermethylation significantly associated with poor survival in osteosarcoma patients. Functional experiments demonstrated that GPRC5B suppresses apoptosis and promotes osteosarcoma cell proliferation and migration. Mechanistically, NSUN2-mediated m5C modification upregulates GPRC5B expression, and the anti-apoptotic effects of NSUN2 are primarily dependent on its ability to modulate GPRC5B m5C modification and expression. Knockdown of GPRC5B partially rescues the anti-apoptotic effects of NSUN2, highlighting the critical role of GPRC5B in osteosarcoma survival. Our study identified an m5C-dependent NSUN2-GPRC5B regulatory axis, providing insights into osteosarcoma progression and revealing its therapeutic potential. Show less
no PDF DOI: 10.1111/cas.70362
GPRC5B
Weilong Lin, Peixian Chen, Yuan Ou +6 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
Metabolic syndrome (MetS) is a recognized risk factor for prostate cancer (PCa), yet the precise biological mechanisms driving this association remain poorly understood. Unraveling these molecular pat Show more
Metabolic syndrome (MetS) is a recognized risk factor for prostate cancer (PCa), yet the precise biological mechanisms driving this association remain poorly understood. Unraveling these molecular pathways is essential for developing targeted interventions to improve patient outcomes. In this study, we analyzed NHANES (2005-2014) data to examine associations between MetS and PCa outcomes, finding that MetS was significantly associated with higher PCa risk (OR = 1.52), all-cause mortality (HR = 1.53), and cancer-specific mortality (HR = 2.17). Through integrated multi-omics, weighted gene co-expression network analysis, and machine learning, we identified the orphan receptor GPRC5B as a critical hub gene downregulated in both conditions. Single-cell transcriptomic analysis further confirmed that GPRC5B is predominantly expressed in endothelial cells. Mechanistically, GPRC5B loss was found to hyperactivate p38 MAPK signaling through a specific dual mechanism: increasing phosphorylation of upstream MKK3/6 kinases while concurrently suppressing the negative feedback phosphatase DUSP1. This synergistic dysregulation drove enhanced endothelial proliferation, migration, and tube formation in vitro. In vivo, endothelial GPRC5B deficiency significantly accelerated tumor growth and neovascularization, phenotypes that were effectively reversed by the p38 inhibitor SB202190. Clinical specimens corroborated reduced GPRC5B expression and increased microvessel density in MetS-associated PCa. Collectively, our findings establish endothelial GPRC5B downregulation as a key molecular driver promoting pathological angiogenesis via the MKK3/6-DUSP1-p38 axis, suggesting that targeting this signaling cascade offers a promising therapeutic strategy for managing MetS-associated PCa aggression. Show less
no PDF DOI: 10.1016/j.ijbiomac.2026.151052
GPRC5B
Yixuan Yuan, Yujie Xiao, Jie Zou +15 more · 2026 · Nature communications · Nature · added 2026-04-24
Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a Show more
Hypertrophic scar (HS) is a fibroproliferative disorder characterized by fibroblast hyperactivation and aberrant extracellular matrix deposition. This study identifies macrophage-derived lactate as a key mediator of fibroblast phenotypic remodeling via monocarboxylate transporter 1 (MCT1)-mediated histone H3 lysine 23 lactylation (H3K23la) in HS. Elevated lactate levels and MCT1 expression were observed in HS tissues, with macrophages in stiff mechanical microenvironments identified as the primary lactate source. Lactate influx through MCT1 upregulated H3K23la, thereby promoting transcriptional activation of profibrotic genes HEY2 and COL11A1. Mechanistically, HEY2 activated YAP1/SMAD2 signaling, while COL11A1 stabilized MCT1 to enhance lactate transport, forming a positive loop that amplified fibrosis. Fibroblast-specific Mct1 deletion or pharmacological inhibition of Mct1 in male mice reduced collagen deposition, accelerated wound healing, and attenuated scar formation. Our findings redefine the macrophage-fibroblast crosstalk in HS and establish the MCT1-H3K23la-HEY2/COL11A1 axis, particularly its self-reinforcing loop, as a novel therapeutic target. Show less
📄 PDF DOI: 10.1038/s41467-026-69388-y
HEY2
Zhihui Zhou, Ying Lu, Pan Li +5 more · 2026 · PLoS biology · PLOS · added 2026-04-24
The high prevalence of cancer immunotherapy resistance, coupled with substantial tumor heterogeneity, underscores the urgent need for innovative therapeutic targets. A deeper understanding of immunore Show more
The high prevalence of cancer immunotherapy resistance, coupled with substantial tumor heterogeneity, underscores the urgent need for innovative therapeutic targets. A deeper understanding of immunoregulatory mechanisms would provide new targets and combination therapeutic strategies for tumor therapy. In this study, we demonstrate that HSD17B12 enhances anti-tumor immunity and represents a promising therapeutic target. Mechanistically, HSD17B12 promotes lysosome-dependent degradation of PD-L1 via the VAC14 and ESCRT complexes across various malignancies, regardless of its 3-ketoacyl-CoA reductase activity. HSD17B12-deficient cells displayed PD-L1 accumulation in both tumor cells and exosomes, reducing T cell-mediated cytotoxicity. Notably, we found a significant negative correlation between HSD17B12 and PD-L1 expression in colorectal cancer tissues. Furthermore, high HSD17B12 expression in CRC correlated with increased infiltration of cytotoxic T cells. Based on these findings, we designed a peptide, HSD-CC1-NPGY, which effectively reduces PD-L1 expression in cells and suppresses tumor growth in a mouse model. Overall, our results establish HSD17B12 as an important regulator of anti-tumor immunity and a promising therapeutic target for cancer treatment. Show less
📄 PDF DOI: 10.1371/journal.pbio.3003603
HSD17B12
Zengkai Pan, Yujun Deng, Jingtao Huang +19 more · 2026 · Blood · added 2026-04-24
Steroid-refractory (SR) disease develops in a substantial fraction of patients with grade II-IV acute graft-versus-host disease (aGvHD) and is associated with poor long-term survival. Improved mechani Show more
Steroid-refractory (SR) disease develops in a substantial fraction of patients with grade II-IV acute graft-versus-host disease (aGvHD) and is associated with poor long-term survival. Improved mechanistic insight is needed to identify reliable predictors of steroid resistance. We retrospectively profiled peripheral blood collected prior to glucocorticoid treatment from allogeneic hematopoietic cell transplantation recipients without aGvHD, with steroid-sensitive aGvHD, and with SR-aGvHD using an integrated multi-omics approach, and validated findings in an independent multicenter cohort. Mass cytometry revealed expansion of activated CD28+ CD8+ effector-memory T (Tem) cells in SR-aGvHD. Absolute counts of these cells at neutrophil engraftment predicted subsequent steroid resistance in the multicenter cohort and performed comparably to established clinical classifiers. This phenotype was associated with a proinflammatory milieu enriched for IL-2, IL-27, and IFN-γ. Single-cell RNA sequencing and functional assays implicated a STAT1-glucocorticoid receptor (GR) regulatory axis in which inflammatory cytokines induce STAT1 phosphorylation and suppress GR expression, consistent with intrinsic glucocorticoid resistance. JAK inhibition rescued cytokine-induced steroid resistance in vitro, while in SR-aGvHD patients, clinical response to ruxolitinib was accompanied by reduced STAT1 activation, restoration of GR expression, and contraction of the expanded CD8+ Tem pool. These findings identify immune dysregulation at SR-aGvHD centered on CD8+ Tem cells with a STAT1-dependent GR deficit and support a mechanistic link to steroid refractoriness. CD28+ CD8+ Tem cell counts may serve as a biomarker of SR-aGvHD and inform development of pre-emptive, pathway-targeted strategies. Show less
no PDF DOI: 10.1182/blood.2025032587
IL27
Jian-Min Zhu, Jing Xia, Kai-Ming Chen +2 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Interleukin-27 (IL-27) is an immunoregulatory cytokine, but its role in B-cell haematopoiesis and B-cell acute lymphoblastic leukaemia (B-ALL) within the bone marrow (BM) niche remains unclear. IL-27 Show more
Interleukin-27 (IL-27) is an immunoregulatory cytokine, but its role in B-cell haematopoiesis and B-cell acute lymphoblastic leukaemia (B-ALL) within the bone marrow (BM) niche remains unclear. IL-27 was delivered in vivo using adeno-associated virus. B-cell reconstitution, mixed BM chimeras, and an N-myc-driven B-ALL model were analysed by flow cytometry, transcriptional profiling, and survival studies. Group comparisons were assessed using Student's t-test, and survival was evaluated by Kaplan-Meier analysis with log-rank tests. Sustained IL-27 expression selectively impaired B-cell reconstitution while preserving overall haematopoietic recovery, with marked reductions in CLPs and early B-cell subsets. IL-27 directly inhibited early B-lineage differentiation and concurrently remodelled the BM microenvironment by downregulating VCAM-1, ICAM-2, CXCL12, and IGF-1. These niche alterations were associated with reduced BM-resident B-ALL burden, enhanced chemotherapy efficacy, and improved survival in B-ALL-bearing mice. IL-27 showed no direct cytotoxicity toward B-ALL cells, supporting an indirect, niche-mediated mechanism. IL-27 constrains B-cell haematopoiesis and B-ALL progression through coordinated progenitor inhibition and BM niche remodelling, revealing a cytokine-driven strategy with the potential to enhance leukaemia therapy. This work was supported by the National Key R&D Program of China (Grant No. 2021YFA1100800 to A.-B.L.) and the National Natural Science Foundation of China (Grant No. 82100180). Show less
📄 PDF DOI: 10.1016/j.ebiom.2026.106239
IL27
Yilin Chen, Xiaofeng Ding, Sonalika Ray +10 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Despite effective viral suppression with antiretroviral therapy (ART), people living with HIV (PLWH) experience persistent inflammation, immune dysfunction, and premature onset of cardiovascular and a Show more
Despite effective viral suppression with antiretroviral therapy (ART), people living with HIV (PLWH) experience persistent inflammation, immune dysfunction, and premature onset of cardiovascular and aging-related comorbidities. The mechanisms driving this transition from acute immune activation to chronic inflammatory remodeling under viral suppression remain incompletely understood. Here, we leveraged a nonhuman primate model to characterize the longitudinal transcriptomic changes across key stages of SIV infection and ART. To define the underlying mechanisms, we performed longitudinal transcriptomic profiling in peripheral blood mononuclear cells (PBMCs) from a cohort of simian immunodeficiency virus (SIV)-infected rhesus macaques spanning four key stages: pre-infection, acute infection, short-term ART, and long-term ART. Bulk RNA sequencing revealed dynamic immune remodeling across infection and treatment. Acute SIV infection induced robust antiviral and inflammatory programs, with upregulation of interferon-stimulated genes (ISGs), IL-27, JAK/STAT, and NF-κB signaling, coupled with suppression of T- and B-cell activation pathways. Short-term ART effectively reversed these transcriptional perturbations, restoring adaptive immune gene expression and reducing innate antiviral responses to near-baseline levels. In contrast, chronic SIV infection on long-term ART maintained viral suppression but was characterized by reactivation of innate immune pathways, including TLR2/TLR4/MYD88, NF-κB, and inflammasome (NLRP3/NLRP12, caspase-1) signaling, along with sustained macrophage activation, platelet/coagulation signaling, and senescence-associated secretory phenotype. Protein analyses confirmed persistent CASPASE-1 and NF-κB activation in spleen tissue. Pathologic evaluation of a carotid artery from an SIV-infected, long-term ART-treated macaque revealed macrophage-rich plaques with p21⁺ senescent cells with intraluminal thrombus formation, recapitulating key features of HIV-associated atherogenesis. While ART normalizes acute infection-induced immune dysregulation, chronic SIV infection sustains a chronic, macrophage- and TLR-driven inflammatory state linked to vascular injury and aging process regardless of long-term suppression of viremia. Targeting inflammasome, NF-κB, and senescence pathways may mitigate non-AIDS comorbidities in PLWH. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1788994
IL27
Tomozumi Imamichi, Jun Yang, Qian Chen +7 more · 2026 · Cells · MDPI · added 2026-04-24
Macrophages differentiated with macrophage colony-stimulating factor (M-CSF) (M-Mac) are widely used as an experimental model. Interleukin 27 (IL-27)-polarized M-Mac (27M-Mac) suppresses HIV replicati Show more
Macrophages differentiated with macrophage colony-stimulating factor (M-CSF) (M-Mac) are widely used as an experimental model. Interleukin 27 (IL-27)-polarized M-Mac (27M-Mac) suppresses HIV replication; however, the effects of IL-27 polarization on granulocyte-macrophage colony-stimulating factor (GM-CSF)-induced macrophages (GM-Mac) remain less investigation. Here, we compare multiple functional properties and gene expression profiles of 27M-Mac and IL-27-polarized GM-Mac (27GM-Mac). M-Mac and GM-Mac were generated from monocytes of healthy donors and subsequently treated with IL-27 for three days. HIV replication in 27M-Mac, GM-Mac, and 27GM-Mac was suppressed to nearly 10% of that in M-Mac; however, single-cell RNA sequencing showed that M-Mac clustered with GM-Mac, and 27M-Mac clustered with 27GM-Mac. Expression of CD38 and secretion of CXCL9 and C1q were significantly increased in 27M-Mac and 27GM-Mac compared with M-Mac and GM-Mac. Although CD16 and CD64 expression increased in 27M-Mac and 27GM-Mac relative to their respective controls, phagocytic activity in 27M-Mac and 27GM-Mac was 30% of that in M-Mac. Autophagy was promoted 3.7-fold more strongly in 27M-Mac than in M-Mac, reaching levels comparable to those in GM-Mac and 27GM-Mac. Collectively, these findings indicate that IL-27 polarizes M-Mac and GM-Mac toward transcriptionally and functionally similar subtypes, providing insight into the role of IL-27 in macrophage polarization and plasticity. Show less
📄 PDF DOI: 10.3390/cells15060528
IL27
Chunlong Wang, Yulong Hu, Junfei Chen +1 more · 2026 · Frontiers in physiology · Frontiers · added 2026-04-24
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HF Show more
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HFD, n = 30). After 8 weeks of HFD feeding, 24 obese rats were further randomised into three subgroups: HFD (H, n = 8), HFD + moderate-intensity training (HMT, n = 8), and HFD + HIIT (HHT, n = 8). The HMT and HHT groups underwent 8 week training interventions (six sessions/week). The HMT protocol included a 10 min warm-up (treadmill speed: 10 m/min), a 40 min moderate-intensity aerobic phase (60%-70% of maximum speed), and a 10 min recovery (10 m/min). The HHT protocol featured 10 min warm-up and recovery phases (10 m/min), with 40 min of alternating treadmill training: 3 min at 50% maximum speed followed by 3 min at 90% maximum speed. No significant differences in body weight were observed between the HHT and HMT groups. HHT rats displayed significantly lower plasma triglyceride levels than H and HMT rats. Compared with HMT, HHT reduced adipose mass and adipocyte size and increased mitochondrial succinate dehydrogenase and cytochrome c oxidase (COX) activities in adipose tissue. However, HHT rats displayed lower COX activity in visceral white adipose tissue than HMT rats. Training upregulated browning-related genes and uncoupling protein 1 (UCP1) in adipose tissue, with stronger effects in HHT than in HMT. Plasma and adipose tissue IL-27 levels, as well as p38 MAPK-PGC-1α signalling pathway activation, were significantly elevated in both training groups, with greater increases in HHT. HIIT promotes adipose tissue browning by activating the IL-27 signalling pathway and ameliorates obesity-associated metabolic disorders more effectively than MAIT, supporting its potential as a therapeutic strategy for obesity. Show less
📄 PDF DOI: 10.3389/fphys.2026.1745363
IL27
Qing-Mei Wang, Xue-Ying Wang, Fei Lin +2 more · 2026 · Biochimica et biophysica acta. General subjects · Elsevier · added 2026-04-24
This study aimed to examine the mechanisms by which Interleukin-27 (IL-27) contributes to the pathogenesis of oral squamous cell carcinoma (OSCC) through focal adhesion-induced stemness protein 1 (FSI Show more
This study aimed to examine the mechanisms by which Interleukin-27 (IL-27) contributes to the pathogenesis of oral squamous cell carcinoma (OSCC) through focal adhesion-induced stemness protein 1 (FSIP1)-mediated activation of the phosphatidylinositol 3-kinase (PI3K)-protein kinase B (Akt) signaling pathway. The effects of IL-27 on cellular proliferation, apoptosis, and migration were examined in human OSCC cell lines [squamous cell carcinoma cell line-27 (CAL-27) and squamous cell carcinoma-4 (SCC-4)] using Cell Counting Kit-8 (CCK-8) assays, flow cytometry, and wound healing assays. Western blot (WB) analysis was performed to determine the expression of epithelial-mesenchymal transition (EMT) markers. High-throughput sequencing was used to identify differentially expressed genes and enriched pathways, while quantitative Polymerase Chain Reaction (qPCR) and WB validated the expression of FSIP1 and PI3K-Akt pathway-related proteins. An oral carcinogenesis mouse model was established using 4-nitroquinoline-1-oxide (4NQO). Following IL-27 treatment, histopathological alterations in tongue tissue were examined with Hematoxylin-Eosin (HE) staining, while IL-27, IL-27 receptor subunit alpha (IL-27RA), FSIP1, and PI3K-Akt pathway proteins were measured through immunohistochemistry and WB. In addition, FSIP1 overexpression vectors and interfering constructs were utilized to examine the regulatory role of FSIP1 in the presence of IL-27. Expression levels of IL-27 and IL-27RA were significantly elevated in OSCC. Treatment with IL-27 enhanced proliferation and migration, suppressed apoptosis, upregulated mesenchymal markers [Neural cadherin (N-cadherin), Vimentin], and downregulated the epithelial marker E-cadherin. Sequencing analysis identified FSIP1 as a key differentially expressed gene enriched in the PI3K-Akt pathway. IL-27 upregulated FSIP1 expression and elevated phosphorylation of PI3K and Akt (p-PI3K/PI3K, p-Akt/Akt). In the murine model, oral carcinogenesis was characterized by epithelial dysplasia, squamous epithelial thickening, and inflammatory cell infiltration. IL-27 treatment intensified these histopathological features and further upregulated protein expression. Overexpression of FSIP1 produced effects comparable to IL-27 treatment by enhancing malignant phenotypes and activating related pathways, while FSIP1 interference mitigated IL-27-induced cellular and molecular changes. IL-27 promotes OSCC progression by upregulating FSIP1, leading to PI3K-Akt pathway activation, enhanced proliferation and migration, and reduced apoptosis. FSIP1 represents a central mediator of the oncogenic activity of IL-27 and may serve as a potential therapeutic target in OSCC. Show less
no PDF DOI: 10.1016/j.bbagen.2026.130926
IL27
Yuancong Li, Gaosheng Yin, Shuangxiu Li +8 more · 2026 · Journal of translational medicine · BioMed Central · added 2026-04-24
Skeletal muscle atrophy is a common complication of heart failure, with myocardial infarction (MI) being the primary cause. Yet, the mechanisms linking post-MI cardiac insufficiency to muscle atrophy Show more
Skeletal muscle atrophy is a common complication of heart failure, with myocardial infarction (MI) being the primary cause. Yet, the mechanisms linking post-MI cardiac insufficiency to muscle atrophy have remained unclear. The molecular basis for the beneficial effects of exercise on exercise intolerance in MI patients also remains absent. Serum IL-27 levels were measured in 48 MI patients and correlated with cardiac injury markers. Along with this, a rat model of post-MI cardiac insufficiency was used to assess skeletal muscle mass, cross-sectional area (CSA) of muscle fibers, and the expression of atrophy-related (MAFbx, MuRF-1) and differentiation-related markers (MyoD, Myogenin). The impact of exercise on muscle atrophy, cardiac inflammation, and IL-27 expression was then evaluated, with a focus on macrophage polarization. Serum IL-27 level was significantly elevated in MI patients and that it was positively correlated with myocardial injury and cardiac insufficiency. In post-MI rats, skeletal muscle mass and CSA of muscle fibers were reduced. Meanwhile, the expression level of myogenic markers was downregulated, while that atrophy markers was upregulated. IL-27 treatment promoted catabolism in L6 myotubes, and of note, HIF-1α overexpression in macrophages enhanced IL-27 secretion, and increased MAFbx and MuRF-1 expression. IL-27 level was also elevated in the heart, serum, and gastrocnemius muscle of MI rats. Exercise counteracted these effects by promoting M2-like macrophage polarization and suppressing HIF-1α, thereby reducing IL-27 expression. Furthermore, exercise ameliorated IL-27-induced muscle atrophy via the WSX-1/gp130/pSTAT3 signaling axis. IL-27 contributes to muscle atrophy in post-MI cardiac insufficiency. Exercise attenuates IL-27-driven muscle wasting by modulating inflammation and promoting M2-like macrophage polarization. These findings provide insights into the mechanisms of MI-induced muscle atrophy and highlight the therapeutic potential of exercise in cardiac rehabilitation. [Image: see text] The online version contains supplementary material available at 10.1186/s12967-025-07527-7. Show less
📄 PDF DOI: 10.1186/s12967-025-07527-7
IL27
Yixuan Du, Lingxi Wu, Yang Mao +2 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Microglia-mediated neuroinflammation, considered one of the most plausible pathogenic hypotheses underlying Alzheimer’s disease (AD), plays a pivotal role in the initiation and progression of this dev Show more
Microglia-mediated neuroinflammation, considered one of the most plausible pathogenic hypotheses underlying Alzheimer’s disease (AD), plays a pivotal role in the initiation and progression of this devastating condition. Recently, glucagon-like peptide-1 receptor agonists (GLP-1RAs) have demonstrated promising neuroprotective effects in both preclinical and clinical studies. Previously, we developed an orally-administered GLP-1RA peptide called OHP2, which is capable of crossing the blood-brain barrier for the treatment of AD. OHP2 has been shown to effectively reduce brain inflammation in AD mouse models. In this study, we discovered that OHP2 treatment induced IL-27 secretion from astrocytes and modulated microglial reprogramming from the neurotoxic M1 phenotype to the neuroprotective M2 phenotype through glycolysis/cGAS lactylation clock/mTOR pathway, thereby alleviating excessive neuroinflammation. These findings provide a rationale for further pharmacological investigations into OHP2 and suggest that IL-27 may hold significant implications for AD therapy as a metabolic regulator. [Image: see text] The online version contains supplementary material available at 10.1186/s12974-025-03683-1. Show less
📄 PDF DOI: 10.1186/s12974-025-03683-1
IL27
Zeyu Chen, Lian Cui, Zhiyi Lan +14 more · 2026 · Cell & bioscience · BioMed Central · added 2026-04-24
Psoriasis and atopic dermatitis (AD) are two prevalent inflammatory skin disorders, each characterized by distinct adaptive immune responses. However, recent evidence suggests that these diseases may Show more
Psoriasis and atopic dermatitis (AD) are two prevalent inflammatory skin disorders, each characterized by distinct adaptive immune responses. However, recent evidence suggests that these diseases may share overlapping immune mechanisms, especially concerning keratinocyte function. The specific cytokines that coordinate these inflammatory pathways remain largely undefined. The expression of IL-27 and its receptor was analyzed using data derived from GEO datasets. Imiquimod-induced psoriasis-like and MC903-induced AD-like skin inflammation models were established in wild-type and Il27ra knockout littermates. Skin inflammation was evaluated using clinical scoring, histology, and immunostaining. Flow cytometry was employed to characterize immune cell populations in skin. Expression of relevant cytokines and signaling molecules was assessed using quantitative PCR, bulk RNA sequencing, and Western blotting. We found significantly elevated expression of the IL-27 receptor in the lesional skin of patients with psoriasis or AD. IL-27 receptor-deficient mice exhibited markedly reduced skin inflammation in both psoriasis-like and AD-like murine models. Mechanistic investigations revealed that IL-27 induces tumor necrosis factor-α production via signal transducer and activator of transcription 1 activation in keratinocytes, thereby potentiating inflammatory responses. Our findings identify IL-27 signaling in keratinocytes as a pivotal regulator of skin inflammation in both psoriasis and AD. This highlights IL-27 as a promising therapeutic target for inflammatory skin diseases. Show less
📄 PDF DOI: 10.1186/s13578-025-01527-2
IL27
Jiachi Xu, Qian Long, Meirong Zhou +6 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Immune checkpoint blockade (ICB) has improved outcomes for patients with triple-negative breast cancer (TNBC), yet resistance remains widespread and its molecular basis is not fully understood. Throug Show more
Immune checkpoint blockade (ICB) has improved outcomes for patients with triple-negative breast cancer (TNBC), yet resistance remains widespread and its molecular basis is not fully understood. Through single-cell RNA sequencing (scRNA-seq) of paired pre- and post-treatment tumor samples from patients who failed to achieve pathological complete response (non-pCR) after neoadjuvant PD-1 therapy, we identified a marked upregulation of interleukin-27 receptor subunit alpha (IL27RA) in malignant epithelial cells within residual lesions. Integration with scRNA-seq profiles from an independent cohort of three pCR patients showed that this IL27RA upregulation in malignant epithelium is largely restricted to non-pCR residual tumors, and high IL27RA expression correlated with poor survival in TNBC cohorts. Mechanistically, IL27RA suppresses MHC-I expression by activating the PI3K/AKT pathway-rather than the classical IL-27/STAT axis-thereby impairing CD8⁺ T-cell cytotoxic function. Inhibition of AKT reversed this phenotype and restored antigen-specific killing. In orthotopic tumor models, mimicking systemic loss of Il27ra significantly reduced tumor growth and prolonged survival in immunocompetent mice, with single-cell profiling indicating enhanced intratumoral T-cell and NK-cell effector activity. Collectively, our findings identify an epithelial-intrinsic IL27RA-PI3K/AKT-MHC-I axis as a central driver of immune evasion and ICB resistance in TNBC and support IL27RA as a promising therapeutic target for overcoming immunotherapy resistance. Show less
📄 PDF DOI: 10.1002/advs.202516703
IL27
Yang Yu, Zhangyu Liu, Jiayu Huang +6 more · 2026 · Free radical biology & medicine · Elsevier · added 2026-04-24
Pathological ocular neovascularization is closely linked to aberrant histone modifications, yet the underlying molecular mechanisms remain incompletely defined. This study investigates the role of the Show more
Pathological ocular neovascularization is closely linked to aberrant histone modifications, yet the underlying molecular mechanisms remain incompletely defined. This study investigates the role of the histone demethylase JMJD1C and its encoding gene Jmjd1c in driving pathological angiogenesis and evaluates its therapeutic potential in ocular proliferative vascular diseases. Jmjd1c expression was examined in mouse models of ocular neovascularization and in endothelial cells (ECs) using immunostaining, qRT-PCR, and Western blotting. The pro-angiogenic functions of JMJD1C were assessed through EdU incorporation, Transwell migration, tube-formation, and spheroid-sprouting assays in vitro, as well as retinal flat-mount isolectin-B4 staining and H&E staining in vivo. RNA sequencing, immunostaining, qPCR, Western blotting, and ChIP-qPCR were employed to dissect the molecular mechanisms by which JMJD1C regulates pathological angiogenesis. Endothelial-specific deletion of Jmjd1c markedly reduced pathological neovascularization in both oxygen-induced retinopathy (OIR) and laser-induced choroidal neovascularization (CNV) models. Loss of JMJD1C impaired endothelial cell proliferation, migration, tube formation, and sprouting angiogenesis. Mechanistically, Jmjd1c deletion suppressed Srebf2 transcription and cholesterol biosynthesis by increasing repressive H3K9me2 histone marks in endothelial cells. Pharmacological inhibition of JMJD1C similarly attenuated neovascularization in wild-type mice. JMJD1C acts as a key regulator of pathological ocular angiogenesis through histone demethylation-mediated control of endothelial cholesterol biosynthesis. These findings establish JMJD1C and the Jmjd1c-Srebf2 regulatory axis as promising therapeutic targets for ocular vascular diseases. Show less
no PDF DOI: 10.1016/j.freeradbiomed.2026.01.024
JMJD1C
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
Saina Yan, Bo Weng, Jiaojiao Xiang +2 more · 2026 · Theriogenology · Elsevier · added 2026-04-24
Sertoli cells are well known as crucial orchestrators in guaranteeing normal spermatogenesis and male fertility. Circular RNA (circRNA) has increasingly been identified within spermatogenesis-related Show more
Sertoli cells are well known as crucial orchestrators in guaranteeing normal spermatogenesis and male fertility. Circular RNA (circRNA) has increasingly been identified within spermatogenesis-related cells, attributed with key regulatory roles. However, the functions and mechanisms of circRNAs in spermatogenesis remain largely unexplored, particularly in domestic animals. The present study was conducted to explore the regulatory and functional roles of circKANSL1, a nucleus enriched circRNA, in proliferation and apoptosis of immature porcine Sertoli cells. The circKANSL1 was confirmed as a novel, stable, nucleus-enriched circRNA in immature porcine Sertoli cells using reverse transcription PCR, Sanger sequencing assays, and fluorescence in situ hybridization assays. Overexpression of circKANSL1 facilitated cell cycle progression, enhanced cell proliferation, and inhibited cell apoptosis in immature porcine Sertoli cells. Transcriptome analysis revealed 248 differentially expressed genes that were induced by circKANSL1 overexpression, and the parental gene KANSL1 of circKANSL1 was detected as a top one up-regulated gene. Mechanistically, circKANSL1 recruited the Vimentin protein to enhance its parental gene KANSL1 expression. Furthermore, siRNA-induced KANSL1 gene knockdown exhibited an opposite effect to that of circKANSL1 overexpression. Collectively, our findings provided a novel functional mechanism of circRNA in participating spermatogenesis through deciding the fate of Sertoli cells. Show less
no PDF DOI: 10.1016/j.theriogenology.2025.117772
KANSL1
Qian-Wen Ye, Yuan-Jie Liu, Guo Xu +2 more · 2026 · Scientific reports · Nature · added 2026-04-24
Colorectal cancer (CRC) shows strong heterogeneity in tumor microenvironment (TME) dynamics, but the mechanisms that shape epithelial-stromal crosstalk are still unclear. Here we focus on A-kinase anc Show more
Colorectal cancer (CRC) shows strong heterogeneity in tumor microenvironment (TME) dynamics, but the mechanisms that shape epithelial-stromal crosstalk are still unclear. Here we focus on A-kinase anchor protein 12 (AKAP12) and Leiomodin 1 (LMOD1) and test a compartment-dependent model in which this program aligns with tight-junction features in epithelium but with a fibrotic, immune-suppressive program in stroma. Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) were employed to profile gene expression patterns in CRC tissues. Immunohistochemistry (IHC) and multiplex immunofluorescence (mIF) validated protein expression and localization. Cell-cell communication analysis and trajectory inference were used to dissect spatial interaction networks. Functional experiments were employed to validate the role of the AKAP12-LMOD1 axis in CAFs in regulating ECM remodeling and antitumor immunity. AKAP12-LMOD1 exhibited a compartment-dependent pattern in CRC. In ACTA2⁻ epithelial regions, the epithelial AKAP12-LMOD1 signal was lower in tumors than in matched normal epithelium and showed a positive association with the tight-junction marker CLDN1. In ACTA2⁺ stromal regions, AKAP12-LMOD1 was enriched, positively associated with the gap-junction marker GJA4, and higher in tumor stroma than matched normal stroma. In a CAF-macrophage non-contact co-culture model, AKAP12 overexpression supported CAF activation and collagen deposition, and shifted macrophages toward an M2-like phenotype; LMOD1 knockdown or SB-431542 partially reversed these effects. Stromal AKAP12-LMOD1-enriched regions also aligned with fibrosis- and M2-related features, and these stromal patterns were prominent in mucinous carcinoma. This study defines AKAP12-LMOD1 as a compartment-dependent stromal program in CRC that links ACTA2⁺ stroma to gap-junction features, fibrosis, and M2-like macrophage polarization, while showing a distinct epithelial association with tight-junction features. These findings support a stroma-centered working model for AKAP12-LMOD1 in CRC microenvironmental heterogeneity and suggest that stromal modulation of this program, together with targeting fibrosis and M2-like immune features, may be explored as hypothesis-level, subtype-oriented therapeutic directions in stroma-rich CRC. Show less
no PDF DOI: 10.1038/s41598-026-44680-5
LMOD1
Fangyu Zhao, Xuemin Peng, Yongbin Zhuang +4 more · 2026 · Experimental gerontology · Elsevier · added 2026-04-24
The non-high-density lipoprotein to high-density lipoprotein cholesterol ratio (NHHR) has emerged as a comprehensive lipid index reflecting the balance between atherogenic and anti-atherogenic lipopro Show more
The non-high-density lipoprotein to high-density lipoprotein cholesterol ratio (NHHR) has emerged as a comprehensive lipid index reflecting the balance between atherogenic and anti-atherogenic lipoproteins. However, evidence on how different intensities and durations of physical activity (PA) influence NHHR remains scarce, particularly in aging populations. Data were obtained from China Health and Retirement Longitudinal Study. PA was self-reported and categorized as high- (HPA), moderate- (MPA), or low-intensity (LPA). Multivariable linear regression models assessed associations between PA and NHHR, with subgroup, sensitivity, and dose-response analyses further exploring robustness. Cox regression and mediation analyses examined the associations of PA and NHHR with 10-year all-cause mortality. Higher levels of total, moderate-, and high-intensity PA were significantly associated with lower NHHR. The results were generally consistent with a graded pattern, with lower NHHR observed at higher activity durations, particularly for moderate-to-vigorous activity. Exploratory mediation analyses suggested that NHHR may partially account for the inverse association between PA and mortality. This study adds large-scale, population-based evidence on the associations between different PA intensities and NHHR. Regular moderate-to-vigorous PA is associated with more favorable lipid profiles and lower mortality risk. These findings highlight NHHR as a valuable biomarker linking physical activity to cardiometabolic health and longevity in middle-aged and older adults. Show less
no PDF DOI: 10.1016/j.exger.2026.113098
LPA
Tianxiang Fan, Qiyu Xie, Jiawei Chen +13 more · 2026 · Rheumatology (Oxford, England) · Oxford University Press · added 2026-04-24
To explore the associations between accelerometer-measured physical activity patterns and cardiovascular diseases (CVD), CVD-cause mortality, and all-cause mortality in people with osteoarthritis (OA) Show more
To explore the associations between accelerometer-measured physical activity patterns and cardiovascular diseases (CVD), CVD-cause mortality, and all-cause mortality in people with osteoarthritis (OA). OA participants from the UK biobank with ≥36 h of accelerometer data, collected over one-week, were analyzed. Moderate to vigorous physical activity (MVPA) patterns were classified as: 'weekend warriors' (≥150 min/week, >50% on 1-2 days), active regular (>150 min/week), or inactive (<150 min/week). Mean min per week of light physical activity (LPA) were categorized into quartiles based on the distribution in the analytical sample. Among 10 210 study participants (mean age 58.1 ± 7.1 years; 64.5% female) followed for a median of 6.9 years, there were 1,538 incident cases of CVD, and 358 deaths, including 90 from CVD. Compared with inactive MVPA, both weekend warrior (adjusted hazard ratio, aHR (95% CIs); 0.73 (0.64-0.82)) and active regular MVPA (0.75 (0.65-0.87)) significantly lowered the risks of incident CVD. Notably, only the weekend warrior group showed significant reductions in CVD-cause mortality (0.55, 0.33-0.92), and all-cause mortality (0.75 (0.59-0.96)). Higher levels of LPA may link to lower CVD, CVD-cause mortality, and all-cause mortality risks in a dose-response manner. Subgroup analysis indicated that more prominent associations were found in individuals with a body mass index >30 or those aged over 60. Engaging in a weekend warrior pattern may confer unique survival benefits for OA patients, especially among older adults and those with obesity. LPA may have dose-dependent protective effects for CVD and mortality risk in OA patients. Show less
no PDF DOI: 10.1093/rheumatology/keag179
LPA
Xin Yang, Haiyan Xiang, Weiming Qian +5 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
Falls have long been a significant safety concern worldwide, not only compromising the physical and psychological health of older adults and limiting their social engagement but also imposing substant Show more
Falls have long been a significant safety concern worldwide, not only compromising the physical and psychological health of older adults and limiting their social engagement but also imposing substantial economic and caregiving burdens. Evidence on fall risk perception among Chinese community-dwelling older adults remains limited, especially for those transitioning to community living after hospital discharge. This research examined the subtypes of fall risk perception of Chinese community-dwelling older adults in the post-discharge transition and to explore subgroup characteristics and associated factors. A cross-sectional survey was conducted between January 2024 to March 2025 in Hangzhou, Zhejiang Province. A self-designed questionnaire was used to collect demographic and health-related information, The Fall Risk Perception Scale for Community-dwelling Older Adults was used to assess the fall risk perception, the objective fall risk was assessed by Morse Fall Scale. Latent profile analysis (LPA) was performed to extract latent classes of fall risk perception, and multinomial regression analyses were used to identify differences between these categories. A total of 468 older adults were included, with 56.0% were male. Three fall risk perception subtypes were identified by LPA: Low Perception-Social Context Desensitized Type (29.2%), Moderate Perception - Balanced Type (43.4%), and High Perception - Bio-behaviorally Salient Type (27.4%). Individuals who were aged with 70-79 (OR = 0.46, 95% CI: 0.27-0.77), with college education or above (OR = 0.31, 95% CI: 0.13-0.76), those who underwent surgery during hospitalization (OR = 0.26, 95% CI: 0.15-0.43), reported difficulty falling asleep (OR = 0.40, 95% CI: 0.20-0.82), and those with a history of falls (OR = 0.44, 95% CI: 0.24-0.81) were significantly more likely to be in the High Perception - Bio-behaviorally Salient Type. Compared to objective fall risk level, a third of participants (31.4%) correctly estimated their fall risk, 23.1% overestimated it and 45.5% underestimated it. Most older adults possess a Moderate Perception - Balanced Type toward fall risk. Key determinants of heightened risk perception included advanced age, higher education, fall history, and recent surgical experience. Tailored, profile-specific risk communication strategies are essential to improve perceptual accuracy during the hospital-to-home transition may support post-discharge fall prevention. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1759157
LPA
Ying Wang, Junyu Chen, Wenwen Wang +5 more · 2026 · iScience · Elsevier · added 2026-04-24
Hypertension-linked renal fibrosis leads to the gradual loss of renal function and eventually progresses to end-stage renal failure, which exhibits poor clinical efficacy and is difficult to reverse. Show more
Hypertension-linked renal fibrosis leads to the gradual loss of renal function and eventually progresses to end-stage renal failure, which exhibits poor clinical efficacy and is difficult to reverse. Therefore, clarifying the development mechanism of hypertension-linked renal fibrosis is crucial for its prevention and treatment. In this review, we conducted an in-depth exploration of the pivotal elements, along with their detailed mechanistic linkages in the pathogenesis of hypertension-linked renal fibrosis. It was found that the renin-angiotensin-aldosterone system (RAAS) is overactivated in hypertension. Angiotensin II (Ang II) and aldosterone (Aldo) jointly cause the abnormal accumulation of reactive oxygen species (ROS) by increasing the activity and expression of Nox2 and Nox4, inducing the inhibition and uncoupling of endothelial nitric oxide synthase (eNOS), enhancing expression of selected microRNAs (miRNAs), and reducing glucose-6-phosphate dehydrogenase (G6PD) expression. In turn, elevated ROS trigger renal inflammation by activating the mitogen-activated protein kinase (MAPK)-nuclear factor-kappa B (NF-κB) pathways as well as ferroptosis. Thereafter, renal inflammation can promote the process of renal fibrosis by activating the transforming growth factor β (TGF-β), platelet-derived growth factor (PDGF), and lysophosphatidic acid (LPA). This review not only emphasizes the core role of the mechanistic axis that plays a crucial role in the development of hypertension-driven renal fibrosis-the "RAAS-ROS-inflammation-fibrosis" axis-but also proposes promising therapeutic strategies targeting this axis, including modulating RAAS activity, controlling the increase in ROS, inhibiting inflammation, and blocking fibrotic progression. It aims to provide novel insights and potential therapeutic directions for hypertension-related renal fibrosis in the future. Show less
📄 PDF DOI: 10.1016/j.isci.2026.115353
LPA
Xia Li, Fengling Yang, Xingyu Chen +2 more · 2026 · Frontiers in public health · Frontiers · added 2026-04-24
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From Show more
This study employs latent profile analysis (LPA) to identify potential categories of nurse burnout and to analyze differences in characteristics and influencing factors across burnout categories. From June to August 2025, a mixed sampling approach combining convenience and snowball sampling was used to recruit nurses from hospitals of varying levels in Southwest China. Three tools were used for data collection: A self-designed routine information questionnaire, Maslach Burnout Inventory-General Survey (MBI-GS) and Practice Environment Scale of the Nursing Work Index (PES-NWI), LPA identifies potential categories of nurses' professional burnout and uses multivariate logistic regression analysis to explore the factors associated with these categories. This study comprised a total of 809 participants. LPA identified four distinct latent classes of nursing burnout: Class 1, low-burnout-high-efficacy (11.5%); Class 2, mild-burnout-unfulfilled (33.9%); Class 3, moderate-burnout-exhausted (44.6%); and Class 4, severe-burnout-dysfunctional (10.0%). Multivariate logistic regression analysis showed that age, years of work experience, hospital level, nurses' participation in hospital management, nursing quality standards, staffing and resource adequacy, and medical care cooperation are significant predictors of burnout among nurses ( Nurse burnout in southwest China is mainly moderate to severe and exhibits distinctive characteristics. It is recommended to implement personalized interventions tailored to the specific characteristics of nurses' professional burnout to alleviate the situation. Particular attention should be given to nurses with fewer than five years of experience by providing enhanced job support and psychological assistance to help them navigate critical periods of professional burnout. These measures aim to safeguard nurses' physical and mental health, improving the overall quality of nursing, and promoting the healthy development of global medical care. Show less
📄 PDF DOI: 10.3389/fpubh.2026.1764970
LPA