👤 Wei Yang

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Also published as: A Yang, A-Li Yang, Acong Yang, Ai-Lun Yang, Aige Yang, Airong Yang, Aiting Yang, Aizhen Yang, Albert C Yang, Alex J T Yang, An-Qi Yang, Andrew Yang, Angang Yang, Angela Wei Hong Yang, Anni Yang, Aram Yang, B Yang, Baigao Yang, Baixia Yang, Bangjia Yang, Bao Yang, Baofeng Yang, Baoli Yang, Baoxin Yang, Baoxue Yang, Bei Yang, Beibei Yang, Biao Yang, Bin Q Yang, Bin Yang, Bing Xiang Yang, Bing Yang, Bingyu Yang, Bo Yang, Bohui Yang, Boo-Keun Yang, Bowen Yang, Boya Yang, Burton B Yang, Byoung Chul Yang, Caimei Yang, Caixia Yang, Caixian Yang, Caixin Yang, Can Yang, Canchai Yang, Ce Yang, Celi Yang, Chan Mo Yang, Chan-Mo Yang, Chang Yang, Chang-Hao Yang, Changheng Yang, Changqing Yang, Changsheng Yang, Changwei Yang, Changyun Yang, Chanjuan Yang, Chao Yang, Chao-Yuh Yang, Chaobo Yang, Chaofei Yang, Chaogang Yang, Chaojie Yang, Chaolong Yang, Chaoping Yang, Chaoqin Yang, Chaoqun Yang, Chaowu Yang, Chaoyun Yang, Chaozhe Yang, Chen Die Yang, Chen Yang, Cheng Yang, Cheng-Gang Yang, Chengfang Yang, Chenghao Yang, Chengkai Yang, Chengkun Yang, Chengran Yang, Chenguang Yang, Chengyingjie Yang, Chengzhang Yang, Chensi Yang, Chensu Yang, Chenxi Yang, Chenyu Yang, Chenzi Yang, Chi Yang, Chia-Wei Yang, Chieh-Hsin Yang, Chien-Wen Yang, Chih-Hao Yang, Chih-Min Yang, Chih-Yu Yang, Chihyu Yang, Ching-Fen Yang, Ching-Wen Yang, Chongmeng Yang, Chuan He Yang, Chuan Yang, Chuanbin Yang, Chuang Yang, Chuanli Yang, Chuhu Yang, Chun Yang, Chun-Chun Yang, Chun-Mao Yang, Chun-Seok Yang, Chunbaixue Yang, Chung-Hsiang Yang, Chung-Shi Yang, Chung-Yi Yang, Chunhua Yang, Chunhui Yang, Chunjie Yang, Chunjun Yang, Chunlei Yang, Chunli Yang, Chunmao Yang, Chunping Yang, Chunqing Yang, Chunru Yang, Chunxiao Yang, Chunyan Yang, Chunyu Yang, Congyi Yang, Cui Yang, Cuiwei Yang, Cunming Yang, Dai-Qin Yang, Dan Yang, Dan-Dan Yang, Dan-Hui Yang, Dandan Yang, Danlu Yang, Danrong Yang, Danzhou Yang, Dapeng Yang, De-Hua Yang, De-Zhai Yang, Decao Yang, Defu Yang, Deguang Yang, Dehao Yang, Dehua Yang, Dejun Yang, Deli Yang, Dengfa Yang, Deok Chun Yang, Deshuang Yang, Di Yang, Dianqiang Yang, Ding Yang, Ding-I Yang, Diya Yang, Diyuan Yang, Dong Yang, Dong-Hua Yang, Dongfeng Yang, Dongjie Yang, Dongliang Yang, Dongmei Yang, Dongren Yang, Dongshan Yang, Dongwei Yang, Dongwen Yang, DuJiang Yang, Eddy S Yang, Edwin Yang, Ei-Wen Yang, Emily Yang, Enlu Yang, Enzhi Yang, Eric Yang, Eryan Yang, Ethan Yang, Eunho Yang, Fajun Yang, Fan Yang, Fang Yang, Fang-Ji Yang, Fang-Kun Yang, Fei Yang, Feilong Yang, Feiran Yang, Feixiang Yang, Fen Yang, Feng Yang, Feng-Ming Yang, Feng-Yun Yang, Fengjie Yang, Fengjiu Yang, Fengjuan Yang, Fenglian Yang, Fengling Yang, Fengping Yang, Fengying Yang, Fengyong Yang, Fu Yang, Fude Yang, Fuhe Yang, Fuhuang Yang, Fumin Yang, Fuquan Yang, Furong Yang, Fuxia Yang, Fuyao Yang, G Y Yang, G Yang, Gan Yang, Gang Yang, Gangyi Yang, Gao Yang, Gaohong Yang, Gaoxiang Yang, Ge Yang, Gong Yang, Gong-Li Yang, Grace H Y Yang, Guan Yang, Guang Yang, Guangdong Yang, Guangli Yang, Guangwei Yang, Guangyan Yang, Guanlin Yang, Gui-Zhi Yang, Guigang Yang, Guitao Yang, Guo Yang, Guo-Can Yang, Guobin Yang, Guofen Yang, Guojun Yang, Guokun Yang, Guoli Yang, Guomei Yang, Guoping Yang, Guoqi Yang, Guosheng Yang, Guotao Yang, Guowang Yang, Guowei Yang, H X Yang, H Yang, Hai Yang, Hai-Chun Yang, Haibo Yang, Haihong Yang, Haikun Yang, Hailei Yang, Hailing Yang, Haiming Yang, Haiping Yang, Haiqiang Yang, Haitao Yang, Haixia Yang, Haiyan Yang, Haiying Yang, Han Yang, Hanchen Yang, Handong Yang, Hang Yang, Hannah Yang, Hanseul Yang, Hanteng Yang, Hao Yang, Hao-Jan Yang, HaoXiang Yang, Haojie Yang, Haolan Yang, Haoqing Yang, Haoran Yang, Haoyu Yang, Harrison Hao Yang, Hee Joo Yang, Heng Yang, Hengwen Yang, Henry Yang, Heqi Yang, Heyi Yang, Heyun Yang, Hoe-Saeng Yang, Hong Yang, Hong-Fa Yang, Hong-Li Yang, HongMei Yang, Hongbing Yang, Hongbo Yang, Hongfa Yang, Honghong Yang, Hongjie Yang, Hongjun Yang, Hongli Yang, Hongling Yang, Hongqun Yang, Hongxia Yang, Hongxin Yang, Hongyan Yang, Hongyu Yang, Hongyuan Yang, Hongyue Yang, Howard H Yang, Howard Yang, Hsin-Chou Yang, Hsin-Jung Yang, Hsin-Sheng Yang, Hua Yang, Hua-Yuan Yang, Huabing Yang, Huafang Yang, Huaijie Yang, Huan Yang, Huanhuan Yang, Huanjie Yang, Huanming Yang, Huansheng Yang, Huanyi Yang, Huarong Yang, Huaxiao Yang, Huazhao Yang, Hui Yang, Hui-Ju Yang, Hui-Li Yang, Hui-Ting Yang, Hui-Yu Yang, Hui-Yun Yang, Huifang Yang, Huihui Yang, Huijia Yang, Huijie Yang, Huiping Yang, Huiran Yang, Huixia Yang, Huiyu Yang, Hung-Chih Yang, Hwai-I Yang, Hye Jeong Yang, Hyerim Yang, Hyun Suk Yang, Hyun-Sik Yang, Ill Yang, Ivana V Yang, J S Yang, J Yang, James Y Yang, Jaw-Ji Yang, Jee Sun Yang, Jenny J Yang, Jerry Yang, Ji Hye Yang, Ji Yang, Ji Yeong Yang, Ji-chun Yang, Jia Yang, Jia-Ling Yang, Jia-Ying Yang, Jiahong Yang, Jiahui Yang, Jiajia Yang, Jiakai Yang, Jiali Yang, Jialiang Yang, Jian Yang, Jian-Bo Yang, Jian-Jun Yang, Jian-Ming Yang, Jian-Ye Yang, JianHua Yang, JianJun Yang, Jianbo Yang, Jiang-Min Yang, Jiang-Yan Yang, Jianing Yang, Jianke Yang, Jianli Yang, Jianlou Yang, Jianmin Yang, Jianming Yang, Jianqi Yang, Jianwei Yang, Jianyu Yang, Jiao Yang, Jiarui Yang, Jiawei Yang, Jiaxin Yang, Jiayan Yang, Jiayi Yang, Jiaying Yang, Jiayue Yang, Jichun Yang, Jie Yang, Jie-Cheng Yang, Jie-Hong Yang, Jie-Kai Yang, Jiefeng Yang, Jiehong Yang, Jieping Yang, Jiexiang Yang, Jihong Yang, Jimin Yang, Jin Yang, Jin-Jian Yang, Jin-Kui Yang, Jin-gang Yang, Jin-ju Yang, Jinan Yang, Jinfeng Yang, Jing Yang, Jing-Quan Yang, Jing-Yu Yang, Jingang Yang, Jingfeng Yang, Jinggang Yang, Jinghua Yang, Jinghui Yang, Jingjing Yang, Jingmin Yang, Jingping Yang, Jingran Yang, Jingshi Yang, Jingwen Yang, Jingya Yang, Jingyan Yang, Jingyao Yang, Jingye Yang, Jingyu Yang, Jingyun Yang, Jingze Yang, Jinhua Yang, Jinhui Yang, Jinjian Yang, Jinpeng Yang, Jinru Yang, Jinshan Yang, Jinsong Yang, Jinsung Yang, Jinwen Yang, Jinzhao Yang, Jiong Yang, Ju Dong Yang, Ju Young Yang, Juan Yang, Juesheng Yang, Jumei Yang, Jun J Yang, Jun Yang, Jun-Hua Yang, Jun-Xia Yang, Jun-Xing Yang, Junbo Yang, Jung Dug Yang, Jung Wook Yang, Jung-Ho Yang, Junhan Yang, Junjie Yang, Junlin Yang, Junlu Yang, Junping Yang, Juntao Yang, Junyao Yang, Junyi Yang, Kai Yang, Kai-Chien Yang, Kai-Chun Yang, Kaidi Yang, Kaifeng Yang, Kaijie Yang, Kaili Yang, Kailin Yang, Kaiwen Yang, Kang Yang, Kang Yi Yang, Kangning Yang, Karen Yang, Ke Yang, Keming Yang, Keping Yang, Kexin Yang, Kuang-Yao Yang, Kui Yang, Kun Yang, Kunao Yang, Kunqi Yang, Kunyu Yang, Kuo Tai Yang, L Yang, Lamei Yang, Lan Yang, Le Yang, Lei Yang, Lexin Yang, Leyi Yang, Li Chun Yang, Li Yang, Li-Kun Yang, Li-Qin Yang, Li-li Yang, LiMan Yang, Lian-he Yang, Liang Yang, Liang-Yo Yang, Liangbin Yang, Liangle Yang, Liangliang Yang, Lichao Yang, Lichuan Yang, Licong Yang, Liehao Yang, Lihong Yang, Lihua Yang, Lihuizi Yang, Lijia Yang, Lijie Yang, Lijuan Yang, Lijun Yang, Lili Yang, Lin Sheng Yang, Lin Yang, Lina Yang, Ling Ling Yang, Ling Yang, Lingfeng Yang, Lingling Yang, Lingzhi Yang, Linlin Yang, Linnan Yang, Linqing Yang, Linquan Yang, Lipeng Yang, Liping Yang, Liting Yang, Liu Yang, Liu-Kun Yang, LiuMing Yang, Liuliu Yang, Liwei Yang, Lixian Yang, Lixue Yang, Long In Yang, Long Yang, Long-Yan Yang, Longbao Yang, Longjun Yang, Longyan Yang, Lu M Yang, Lu Yang, Lu-Hui Yang, Lu-Kun Yang, Lu-Qin Yang, Luda Yang, Man Yang, Manqing Yang, Maojie Yang, Maoquan Yang, Mei Yang, Meichan Yang, Meihua Yang, Meili Yang, Meiting Yang, Meixiang Yang, Meiying Yang, Meng Yang, Menghan Yang, Menghua Yang, Mengjie Yang, Mengli Yang, Mengliu Yang, Mengmeng Yang, Mengsu Yang, Mengwei Yang, Mengying Yang, Miaomiao Yang, Mickey Yang, Min Hee Yang, Min Yang, Mina Yang, Ming Yang, Ming-Hui Yang, Ming-Yan Yang, Minghui Yang, Mingjia Yang, Mingjie Yang, Mingjun Yang, Mingli Yang, Mingqian Yang, Mingshi Yang, Mingyan Yang, Mingyu Yang, Minyi Yang, Misun Yang, Mu Yang, Muh-Hwa Yang, Na Yang, Nan Yang, Nana Yang, Nanfei Yang, Neil V Yang, Ni Yang, Ning Yang, Ningjie Yang, Ningli Yang, Pan Yang, Pan-Chyr Yang, Paul Yang, Peichang Yang, Peiran Yang, Peiyan Yang, Peiying Yang, Peiyuan Yang, Peizeng Yang, Peng Yang, Peng-Fei Yang, PengXiang Yang, Pengfei Yang, Penghui Yang, Pengwei Yang, Pengyu Yang, Phillip C Yang, Pin Yang, Ping Yang, Ping-Fen Yang, Pinghong Yang, Pu Yang, Q H Yang, Q Yang, Qi Yang, Qi-En Yang, Qian Yang, Qian-Jiao Yang, Qian-Li Yang, QianKun Yang, Qiang Yang, Qianhong Yang, Qianqian Yang, Qianru Yang, Qiaoli Yang, Qiaorong Yang, Qiaoyuan Yang, Qifan Yang, Qifeng Yang, Qiman Yang, Qimeng Yang, Qiming Yang, Qin Yang, Qinbo Yang, Qing Yang, Qing-Cheng Yang, Qingcheng Yang, Qinghu Yang, Qingkai Yang, Qinglin Yang, Qingling Yang, Qingmo Yang, Qingqing Yang, Qingtao Yang, Qingwu Yang, Qingya Yang, Qingyan Yang, Qingyi Yang, Qingyu Yang, Qingyuan Yang, Qiong Yang, Qiu Yang, Qiu-Yan Yang, Qiuhua Yang, Qiuhui Yang, Qiulan Yang, Qiuli Yang, Qiuxia Yang, Qiwei Yang, Qiwen Yang, Quan Yang, Quanjun Yang, Quanli Yang, Qun-Fang Yang, R Yang, Ran Yang, Ren-Zhi Yang, Renchi Yang, Renhua Yang, Renjun Yang, Renqiang Yang, Renzhi Yang, Ri-Yao Yang, Richard K Yang, Robert Yang, Rong Yang, Rongrong Yang, Rongxi Yang, Rongyuan Yang, Rongze Yang, Rui Xu Yang, Rui Yang, Rui-Xu Yang, Rui-Yi Yang, Ruicheng Yang, Ruifang Yang, Ruihua Yang, Ruilan Yang, Ruili Yang, Ruiqin Yang, Ruirui Yang, Ruiwei Yang, Rulai Yang, Ruming Yang, Run Yang, Runjun Yang, Runxu Yang, Runyu Yang, Runzhou Yang, Ruocong Yang, Ruoyun Yang, Ruyu Yang, S J Yang, Se-Ran Yang, Sen Yang, Senwen Yang, Seung Yun Yang, Seung-Jo Yang, Seung-Ok Yang, Shan Yang, Shangchen Yang, Shanghua Yang, Shangwen Yang, Shanzheng Yang, Shao-Hua Yang, Shaobin Yang, Shaohua Yang, Shaoling Yang, Shaoqi Yang, Shaoqing Yang, Sheng Sheng Yang, Sheng Yang, Sheng-Huei Yang, Sheng-Qian Yang, Sheng-Wu Yang, ShengHui Yang, Shenglin Yang, Shengnan Yang, Shengqian Yang, Shengyong Yang, Shengzhuang Yang, Shenhui Yang, Shi-Ming Yang, Shiaw-Der Yang, Shifeng Yang, Shigao Yang, Shijie Yang, Shiming Yang, Shipeng Yang, Shiping Yang, Shiu-Ju Yang, Shiyi Yang, Shizhong Yang, Shizhuo Yang, Shu Yang, ShuSheng Yang, Shuai Yang, Shuaibing Yang, Shuaini Yang, Shuang Yang, Shuangshuang Yang, Shucai Yang, Shufang Yang, Shuhua Yang, Shujuan Yang, Shujun Yang, Shulan Yang, Shulin Yang, Shuming Yang, Shun-Fa Yang, Shuo Yang, Shuofei Yang, Shuping Yang, Shuqi Yang, Shuquan Yang, Shurong Yang, Shushen Yang, Shuye Yang, Shuyu Yang, Si Yang, Si-Fu Yang, Sibao Yang, Sibo Yang, Sichong Yang, Sihui Yang, Sijia Yang, Siqi Yang, Sirui Yang, Sisi Yang, Sitao Yang, Siwen Yang, Siyi Yang, Siyu Yang, Sizhen Yang, Sizhu Yang, Song Yang, Song-na Yang, Songpeng Yang, Songye Yang, Soo Hyun Yang, Su Yang, Su-Geun Yang, Suhong Yang, Sujae Yang, Sujuan Yang, Suk-Kyun Yang, Sun Kyung Yang, Suwol Yang, Suxia Yang, Suyi Yang, Suyu Yang, Tai-Hui Yang, Tailai Yang, Tao Yang, Tengyun Yang, Thomas P Yang, Ti Yang, Tian Yang, Tianbao Yang, Tianfeng Yang, Tianjie Yang, Tianmin Yang, Tianpeng Yang, Tianqiong Yang, Tiantian Yang, Tianxin Yang, Tianyou Yang, Tianyu Yang, Tianze Yang, Tianzhong Yang, Ting Yang, Ting-Xian Yang, Tingting Yang, Tingyu Yang, Tong Yang, Tong Yi Yang, Tong-Xin Yang, Tonglin Yang, Tongren Yang, Tuanmin Yang, Ueng-Cheng Yang, W Yang, Wan-Chen Yang, Wan-Jung Yang, Wang Yang, Wannian Yang, Wei Qiang Yang, Wei-Fa Yang, Wei-Xin Yang, Weidong Yang, Weiguang Yang, Weihan Yang, Weijian Yang, Weili Yang, Weimin Yang, Weiran Yang, Weiwei Yang, Weixian Yang, Weizhong Yang, Wen Yang, Wen Z Yang, Wen-Bin Yang, Wen-Chin Yang, Wen-He Yang, Wen-Hsuan Yang, Wen-Ming Yang, Wen-Wen Yang, Wen-Xiao Yang, WenKai Yang, Wenbo Yang, Wenchao Yang, Wending Yang, Wenfei Yang, Wenhong Yang, Wenhua Yang, Wenhui Yang, Wenjian Yang, Wenjie Yang, Wenjing Yang, Wenjuan Yang, Wenjun Yang, Wenli Yang, Wenlin Yang, Wenming Yang, Wenqin Yang, Wenshan Yang, Wentao Yang, Wenwen Yang, Wenwu Yang, Wenxin Yang, Wenxing Yang, Wenying Yang, Wenzhi Yang, Wenzhu Yang, William Yang, Woong-Suk Yang, Wu Yang, Wu-de Yang, X Yang, X-J Yang, Xi Yang, Xi-You Yang, Xia Yang, Xian Yang, Xiang Yang, Xiang-Hong Yang, Xiang-Jun Yang, Xianggui Yang, Xianghong Yang, Xiangliang Yang, Xiangling Yang, Xiangqiong Yang, Xiangxiang Yang, Xiangyu Yang, Xiao Yang, Xiao-Dong Yang, Xiao-Fang Yang, Xiao-Hong Yang, Xiao-Jie Yang, Xiao-Juan Yang, Xiao-Meng Yang, Xiao-Ming Yang, Xiao-Qian Yang, Xiao-Yan Yang, Xiao-Ying Yang, Xiao-Yu Yang, Xiao-guang Yang, XiaoYan Yang, Xiaoao Yang, Xiaobin Yang, Xiaobo Yang, Xiaochen Yang, Xiaodan Yang, Xiaodi Yang, Xiaodong Yang, Xiaofei Yang, Xiaofeng Yang, Xiaohao Yang, Xiaohe Yang, Xiaohong R Yang, Xiaohong Yang, Xiaohuang Yang, Xiaohui Yang, Xiaojian Yang, Xiaojie Yang, Xiaojing Yang, Xiaojuan Yang, Xiaojun Yang, Xiaoli Yang, Xiaolu Yang, Xiaomeng Yang, Xiaoming Yang, Xiaonan Yang, Xiaoping Yang, Xiaoqian Yang, Xiaoqin Yang, Xiaoqun Yang, Xiaorong Yang, Xiaoshan Yang, Xiaoshi Yang, Xiaosong Yang, Xiaotian Yang, Xiaotong Yang, Xiaowei Yang, Xiaowen Yang, Xiaoxiao Yang, Xiaoxin Yang, Xiaoxu Yang, Xiaoyao Yang, Xiaoyi Yang, Xiaoyong Yang, Xiaoyu Yang, Xiaoyun Yang, Xiaozhen Yang, Xifei Yang, Xiling Yang, Ximan Yang, Xin Yang, Xin-He Yang, Xin-Yu Yang, Xin-Zhuang Yang, Xing Yang, Xinghai Yang, Xinglong Yang, Xingmao Yang, Xingming Yang, Xingsheng Yang, Xingyu Yang, Xingyue Yang, Xingzhi Yang, Xinjing Yang, Xinming Yang, Xinpu Yang, Xinwang Yang, Xinxin Yang, Xinyan Yang, Xinyi Yang, Xinyu Yang, Xinyue Yang, Xiong Ling Yang, Xiru Yang, Xitong Yang, Xiu Hong Yang, Xiuhua Yang, Xiulin Yang, Xiuna Yang, Xiuqin Yang, Xiurong Yang, Xiuwei Yang, Xiwen Yang, Xiyue Yang, Xu Yang, Xuan Yang, Xue Yang, Xue-Feng Yang, Xue-Ping Yang, Xuecheng Yang, Xuehan Yang, Xuejing Yang, Xuejun Yang, Xueli Yang, Xuena Yang, Xueping Yang, Xuesong Yang, Xuhan Yang, Xuhui Yang, Xuping Yang, Xuyang Yang, Y C Yang, Y F Yang, Y L Yang, Y P Yang, Y Q Yang, Y Yang, Y-T Yang, Ya Yang, Ya-Chen Yang, Yadong Yang, Yafang Yang, Yajie Yang, Yalan Yang, Yali Yang, Yaming Yang, Yan Yang, Yan-Bei Yang, Yan-Ling Yang, Yanan Yang, Yanfang Yang, Yang Yang, Yangfan Yang, Yangyang Yang, Yanhui Yang, Yanjianxiong Yang, Yanling Yang, Yanmei Yang, Yanmin Yang, Yanping Yang, Yanru Yang, Yanting Yang, Yanyan Yang, Yanzhen Yang, Yaorui Yang, Yaping Yang, Yaqi Yang, Yaxi Yang, Ye Yang, Yefa Yang, Yefeng Yang, Yeqing Yang, Yexin Yang, Yi Yang, Yi-Chieh Yang, Yi-Fang Yang, Yi-Feng Yang, Yi-Liang Yang, Yi-Ping Yang, Yi-ning Yang, Yibing Yang, Yichen Yang, Yidong Yang, Yifan Yang, Yifang Yang, Yifei Yang, Yifeng Yang, Yihe Yang, Yijie Yang, Yilian Yang, Yimei Yang, Yimin Yang, Yiming Yang, Yimu Yang, Yin-Rong Yang, Yinfeng Yang, Ying Yang, Ying-Hua Yang, Ying-Ying Yang, Yingdi Yang, Yingjun Yang, Yingqing Yang, Yingrui Yang, Yingxia Yang, Yingyu Yang, Yinhua Yang, Yining Yang, Yinxi Yang, Yiping Yang, Yiting Yang, Yiyi Yang, Yiying Yang, Yong Yang, Yong-Yu Yang, Yongfeng Yang, Yongguang Yang, Yonghong Yang, Yonghui Yang, Yongjia Yang, Yongjie Yang, Yongkang Yang, Yongqiang Yang, Yongsan Yang, Yongxin Yang, Yongxing Yang, Yongzhong Yang, Yoon La Yang, Yoon Mee Yang, Youhua Yang, YoungSoon Yang, Yu Yang, Yu-Fan Yang, Yu-Feng Yang, Yu-Jie Yang, Yu-Shi Yang, Yu-Tao Yang, Yu-Ting Yang, Yuan Yang, Yuan-Han Yang, Yuan-Jian Yang, Yuanhao Yang, Yuanjin Yang, Yuanquan Yang, Yuanrong Yang, Yuanying Yang, Yuanzhang Yang, Yuanzhi Yang, Yuchen Yang, Yucheng Yang, Yue Yang, Yueh-Ning Yang, Yuejin Yang, Yuexiang Yang, Yueze Yang, Yufan Yang, Yuhan Yang, Yuhang Yang, Yuhua Yang, Yujie Yang, Yujing Yang, Yulin Yang, Yuling Yang, Yulong Yang, Yun Yang, YunKai Yang, Yunfan Yang, Yung-Li Yang, Yunhai Yang, Yunlong Yang, Yunmei Yang, Yunwen Yang, Yunyun Yang, Yunzhao Yang, Yupeng Yang, Yuqi Yang, Yuta Yang, Yutao Yang, Yuting Yang, Yutong Yang, Yuwei Yang, Yuxi Yang, Yuxing Yang, Yuxiu Yang, Yuyan Yang, Yuyao Yang, Yuying Yang, Z Yang, Zaibin Yang, Zaiming Yang, Zaiqing Yang, Zanhao Yang, Ze Yang, Zemin Yang, Zeng-Ming Yang, Zengqiang Yang, Zengqiao Yang, Zeyu Yang, Zhang Yang, Zhangping Yang, Zhanyi Yang, Zhao Yang, Zhao-Na Yang, Zhaojie Yang, Zhaoli Yang, Zhaoxin Yang, Zhaoyang Yang, Zhaoyi Yang, Zhehan Yang, Zheming Yang, Zhen Yang, Zheng Yang, Zheng-Fei Yang, Zheng-lin Yang, Zhenglin Yang, Zhengqian Yang, Zhengtao Yang, Zhenguo Yang, Zhengyan Yang, Zhengzheng Yang, Zhengzhong Yang, Zhenhua Yang, Zhenjun Yang, Zhenmei Yang, Zhenqi Yang, Zhenrong Yang, Zhenwei Yang, Zhenxing Yang, Zhenyun Yang, Zhenzhen Yang, Zheyu Yang, Zhi Yang, Zhi-Can Yang, Zhi-Hong Yang, Zhi-Jun Yang, Zhi-Min Yang, Zhi-Ming Yang, Zhi-Rui Yang, Zhibo Yang, Zhichao Yang, Zhifen Yang, Zhigang Yang, Zhihang Yang, Zhihong Yang, Zhikuan Yang, Zhikun Yang, Zhimin Yang, Zhiming Yang, Zhiqiang Yang, Zhitao Yang, Zhiwei Yang, Zhixin Yang, Zhiyan Yang, Zhiyong Yang, Zhiyou Yang, Zhiyuan Yang, Zhongan Yang, Zhongfang Yang, Zhonghua Yang, Zhonghui Yang, Zhongli Yang, Zhongshu Yang, Zhongzhou Yang, Zhou Yang, Zhuliang Yang, Zhuo Yang, Zhuoya Yang, Zhuoyu Yang, Zi F Yang, Zi Yang, Zi-Han Yang, Zi-Wei Yang, Zicong Yang, Zifeng Yang, Zihan Yang, Ziheng Yang, Zijiang Yang, Zishan Yang, Zixia Yang, Zixuan Yang, Ziying Yang, Ziyou Yang, Ziyu Yang, Zong-de Yang, Zongfang Yang, Zongyu Yang, Zunxian Yang, Zuozhen Yang
articles
Tianyu Yu, Xun Sun, Yang Liu +13 more · 2026 · Bioactive materials · Elsevier · added 2026-04-24
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment co Show more
Focal articular cartilage defects often progress to osteoarthritis, imposing a substantial global health burden. Current neglect of cartilage developmental regulation and cartilage microenvironment compromises therapeutic efficacy. We developed an innovation CE-SKP/CPH/P2G3 scaffold which effectively repairs focal cartilage defects and emulates native cartilage ontogeny: the superficial CE-SKP hydrogel layer recruits SMSCs and promotes chondrogenesis; the middle CPH hydrogel layer induces chondrocyte hypertrophic calcification, forming cartilage calcified layer; and the basal P2G3 nanofiber membrane isolates subchondral cells, enforcing a top-down developmental sequence and preserving a localized hypoxic niche. Show less
📄 PDF DOI: 10.1016/j.bioactmat.2025.11.041
FGFR1
Dalei Li, Mengjun Yan, Mingyan Yang +5 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
Chemotherapy-induced myelosuppression (MYE) remains a major dose-limiting toxicity that severely compromises treatment efficacy and patient outcomes, while effective therapeutic agents are still lacki Show more
Chemotherapy-induced myelosuppression (MYE) remains a major dose-limiting toxicity that severely compromises treatment efficacy and patient outcomes, while effective therapeutic agents are still lacking. This study aimed to evaluate the therapeutic effects of 20(S)-protopanaxadiol-human serum albumin nanoparticles (20(S)-PPD-HSA NPs) on cyclophosphamide-induced MYE and to elucidate the underlying mechanisms. 20(S)-PPD-HSA NPs were characterized by electron microscopy, particle size, zeta potential, drug loading, and encapsulation efficiency. A cyclophosphamide-induced MYE mouse model was established. Hematopoietic recovery was evaluated via blood counts, ELISA for granulocyte colony-stimulating factor (G-CSF), and flow cytometry for Lin The 20(S)-PPD-HSA NPs exhibited a uniform nanostructure and excellent drug delivery performance. In vivo, the 20(S)-PPD-HSA NPs significantly alleviated cyclophosphamide-induced hematopoietic dysfunction, restored the structure of bone marrow and spleen tissues, and markedly increased the number of LSK cells, with their therapeutic effect being independent of elevated G-CSF levels. Further studies demonstrated that the 20(S)-PPD-HSA NPs activated the FGFR1/ERK signaling pathway, an effect that was partially blocked by FGFR1 or ERK inhibitors. In vitro, 20(S)-PPD-HSA NPs promoted the proliferation of OP9 cells and murine splenic stromal cells, inhibited apoptosis, DNA damage, and cellular senescence, and upregulated SCF and SDF-1 expression via activation of the FGFR1/ERK pathway. Co-culture experiments further confirmed that the NPs improved the hematopoietic microenvironment and enhanced the stromal cells' hematopoietic support function. 20(S)-PPD-HSA NPs effectively enhanced medullary and extramedullary hematopoietic functions in cyclophosphamide-induced MYE mice by activating the FGFR1/ERK pathway, independent of increased G-CSF levels. These findings highlight 20(S)-PPD-HSA NPs as a promising therapeutic strategy for chemotherapy-induced myelosuppression. Show less
no PDF DOI: 10.1016/j.intimp.2025.116073
FGFR1
Huiqiong Li, Qiuju Xun, Bowen Yang +7 more · 2026 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Fibroblast growth factor receptor 2 (FGFR2) has gained recognition as a compelling therapeutic target in oncology. We present LHQ766, a novel orally bioavailable FGFR2 inhibitor demonstrating exceptio Show more
Fibroblast growth factor receptor 2 (FGFR2) has gained recognition as a compelling therapeutic target in oncology. We present LHQ766, a novel orally bioavailable FGFR2 inhibitor demonstrating exceptional potency and selectivity, through optimization of our previously reported FGFR2 inhibitor 7. The structures and purity of all target compounds were confirmed by Show less
no PDF DOI: 10.1016/j.ejmech.2025.118496
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
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
Young Ju Jeong, Chang-Ho Jeon, Hoon Kyu Oh +4 more · 2026 · Asia-Pacific journal of clinical oncology · Blackwell Publishing · added 2026-04-24
This study aimed to identify breast cancer-specific circulating tumor DNA (ctDNA) methylation markers that correspond to tissue DNA methylation. Using The Cancer Genome Atlas (TCGA) database, we selec Show more
This study aimed to identify breast cancer-specific circulating tumor DNA (ctDNA) methylation markers that correspond to tissue DNA methylation. Using The Cancer Genome Atlas (TCGA) database, we selected breast cancer-specific DNA methylation markers. The methylation and expression patterns of candidate genes were analyzed in breast cancer cell lines and tissue samples. We also assessed the methylation status in ctDNA obtained from breast cancer patients and examined associations with the clinicopathological features. Among candidate genes with breast cancer-specific methylation patterns, USP44, ZNF454, and GPRC5B were selected. The methylation status and expression of selected genes varied by molecular subtype of cancer in the cell line. In tissue samples, expression of all three genes was generally lower in breast cancer than in controls. ctDNA methylation patterns showed no significant change before and after treatment for each candidate gene. Correlations between gene expression and DNA methylation status or clinicopathological characteristics in cancer tissues differed among genes. Further studies are needed for clinical application of liquid biopsy using methylation analysis for ctDNA according to individual characteristics for breast cancer. Show less
📄 PDF DOI: 10.1111/ajco.70015
GPRC5B
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

T-bet

Lijun Yang, Yujia Wang, Mingyang Li +6 more · 2026 · The FEBS journal · Blackwell Publishing · added 2026-04-24
Neonatal regulatory T (Treg) cells in secondary lymphoid organs have greater proliferative capacity and more potent suppressive functions than adult Treg cells. However, the phenotypic and functional Show more
Neonatal regulatory T (Treg) cells in secondary lymphoid organs have greater proliferative capacity and more potent suppressive functions than adult Treg cells. However, the phenotypic and functional features of Tregs in neonatal nonlymphoid organs are not well understood. Our prior work demonstrated that thymus-derived Treg cells entering the neonatal mouse liver enhance immune tolerance and periportal liver maturation. Compared to splenic Treg cells, these hepatic Tregs have faster turnover and superior suppression of naïve T-cell proliferation. To further define this population, we conducted single-cell transcriptomic and immunophenotypic analyses of liver- and spleen-derived Tregs from neonatal and adult mice. Our analysis revealed a distinct T-box transcription factor Tbx21 (T-bet) Show less
no PDF DOI: 10.1111/febs.70486
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
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
Jiamin Zhu, Feng Ni, Cheng Tan +4 more · 2026 · World journal of surgical oncology · BioMed Central · added 2026-04-24
The aim of this study was to investigate the impact of interleukin-27 (IL- 27) gene polymorphism and additional interactions with environmental factors on non-small cell lung cancer (NSCLC) risk based Show more
The aim of this study was to investigate the impact of interleukin-27 (IL- 27) gene polymorphism and additional interactions with environmental factors on non-small cell lung cancer (NSCLC) risk based on a Chinese population. SNPStats online software ( http://bioinfo.iconcologia.net/SNPstats ) was used for Hardy-Weinberg equilibrium (HWE) testing. Stratified analysis was performed by logistic regression model to examine the impact of IL- 27 gene SNPs and environmental factors, and additional gene-environment interaction on NSCLC risk. Logistic regression analysis showed a significant association between rs153109, rs181206 and increased NSCLC risk. However, no significant relationship was found between NSCLC risk and rs17855750 or rs40837 genotype with minor allele. Logistic regression also indicated a significant association between smoking status or alcohol consumption and NSCLC risk in this study. We performed crossover analysis to investigate the interaction between two SNPs (rs153109 and rs181206) and two environmental factors (smoking status and alcohol consumption) using logistic regression. We found that ever or current smokers with rs153109- AG or GG genotype have the highest NSCLC risk, compared with never smokers with the AA genotype after covariate adjustment, OR (95%CI) = 3.02 (1.97-5.12), p = 0.012. However, no significant interaction effect was found between rs153109 and alcohol consumption, rs181206 and smoking, rs181206 and alcohol consumption. Our results support an important association of the IL- 27 gene rs153109, rs181206, smoking and alcohol consumption with increased NSCLC risk. We also found a significant impact of an interaction between rs153109 minor allele and ever or current smoking on NSCLC risk. Show less
📄 PDF DOI: 10.1186/s12957-025-04078-5
IL27
Hsiu-Jung Liao, Lin-Ping Cheng, Yu-Ching Hsieh +4 more · 2026 · Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · Elsevier · added 2026-04-24
Persistent chronic hepatitis B virus (HBV) infection leads to chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma. The immunosuppressive tissue microenvironment in the liver restricts the Show more
Persistent chronic hepatitis B virus (HBV) infection leads to chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma. The immunosuppressive tissue microenvironment in the liver restricts the immune response, potentially facilitating persistent HBV infection. This study examined the expression of immunity-related factors in the liver in response to HBV. We performed gene expression profiling on mice subjected to HBV DNA hydrodynamic transfection to identify transcriptomic changes. The expression of IL-27 was validated through Western blotting, ELISA, and immunohistochemical staining. Liver macrophages in mice were depleted using clodronate-liposomes to evaluate their role in IL-27 production. IL-27 knockout mice were generated to examine the effects of IL-27 deficiency on CD8 T cell dysfunction and HBV persistence. Transcriptomic analysis demonstrated that IL-27 is significantly induced in the liver in response to HBV DNA. The elevated levels of IL-27 are strongly correlated with HBV persistence and are linked to CD8 T cell dysfunction, characterized by increased expression of PD-1 and Tim-3, along with reduced IFN-γ production in liver-infiltrating T cells. Furthermore, depleting macrophage-lineage cells using clodronate-liposomes significantly reduces IL-27 production in the liver and promotes viral clearance. Additionally, mice with IL-27 deficiency exhibit enhanced HBV clearance and restored CD8 T cell function. Collectively, IL-27 is significantly induced by HBV in the liver, and its production is strongly associated with HBV persistence and CD8 T cell dysfunction. This highlights the immunosuppressive role of IL-27 in the liver microenvironment and suggests that IL-27 could serve as a potential therapeutic target for HBV infection. Show less
no PDF DOI: 10.1016/j.jmii.2025.07.001
IL27
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
Zhenqi Yang, Mingzhao Zhang, Weijia Zhi +4 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by irreversible cognitive decline and synaptic dysfunction and represents the most prevalent etiology of dementia, ac Show more
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by irreversible cognitive decline and synaptic dysfunction and represents the most prevalent etiology of dementia, accounting for an estimated 60-70% of all clinically diagnosed cases worldwide. The growing focus on microglia-neuron interactions in AD research highlights their diverse, region-specific responses, which are driven by the functional and pathological heterogeneity across different brain regions. Therefore, investigating the interactions between microglia and neurons is of crucial importance. To explore the regional heterogeneity of microglia-neuron crosstalk in AD, we integrated human single-nucleus RNA sequencing data from the prefrontal cortex (PFC), hippocampus (HPC), and occipital lobe (OL) provided by the ssREAD database. Our study delineated four microglial subtypes and uncovered a pseudotime trajectory activation trajectory leading to the disease-associated microglia (DAM) phenotype. The transition along this trajectory is driven and stabilized by a key molecular switch: the coordinated downregulation of inhibitory factors (e.g., LINGO1) and upregulation of immune-effector and antigen-presentation programs, which collectively establish the pro-inflammatory DAM state. Furthermore, we observed that each brain region displayed unique microglia-neuron communication patterns in response to AD pathology. The PFC and OL engage a THY1-ITGAX/ITGB2 signaling axis; the HPC predominantly utilizes the PTPRM pathway. Notably, THY1 dysregulation strongly correlates with pathology in the PFC, HPC, and OL, suggesting that microglia-neuron crosstalk in AD possesses both heterogeneity and commonality. The main contribution of this study is the systematic characterization of region-specific microglia-neuron interactions and the identification of THY1 as a potential mediator that may be targeted therapeutically to modulate microglial function in affected brain regions. Show less
📄 PDF DOI: 10.3390/ijms27031492
LINGO1
Gabriel Torrealba-Acosta, Shu Yang, Javier Calvo-Marín +4 more · 2026 · Neurobiology of aging · Elsevier · added 2026-04-24
This study aimed to identify CSF and plasma proteins that mediate the association between age and mild cognitive impairment (MCI) and Alzheimer's disease using mediation analysis. By focusing on prote Show more
This study aimed to identify CSF and plasma proteins that mediate the association between age and mild cognitive impairment (MCI) and Alzheimer's disease using mediation analysis. By focusing on proteins significantly associated in both CSF and plasma, we sought to identify biomarkers accessible for clinical applications. Proteomic measurements were obtained from CSF and plasma from a cohort of cognitively normal and MCI patients at the Johns Hopkins Alzheimer's Disease Research Center using Olink Proximity Extension Assay technology. Mediation effects were estimated using single- and multiple-mediator models and validated in three independent datasets: Duke (CSF), ADNI (CSF), and UK Biobank (plasma). Over 3000 proteins in 86 patients were analyzed. Three candidates, leiomodin-1 (LMOD1), glial fibrillary acidic protein (GFAP), and elastin (ELN), met the criteria for mediation in both CSF and plasma. Multiple mediator models demonstrated a significant combined mediation effect on MCI in CSF (OR: 1.122, 95 % CI: 1.026-1.439) and plasma (OR: 1.142, 95 % CI: 1.058-1.410). Across validation cohorts, GFAP consistently showed significant mediation effects (Duke CSF: OR: 1.114, 95 % CI: 1.069-1.206; ADNI: OR: 1.004, 95 % CI: 1.000-1.009; UK Biobank: OR: 1.030, 95 % CI: 1.026-1.034). In contrast, ELN and LMOD1 demonstrated mediation effects in the discovery dataset but were not consistently reproduced in external cohorts. Our findings highlight GFAP as a robust mediator of age-related risk of cognitive impairment across CSF and plasma, supporting its utility as a practical biomarker. ELN and LMOD1 may represent exploratory candidates reflecting extracellular matrix and vascular processes requiring further validation. Show less
no PDF DOI: 10.1016/j.neurobiolaging.2025.10.004
LMOD1
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
Tingting Xiao, Yaming Yang, Yue Xiao +6 more · 2026 · Healthcare (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/healthcare14070862
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
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
Lingxue Chen, Jing Yang, Li Wang +5 more · 2026 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
Based on self-determination theory (SDT), this study aimed to identify latent profiles of health motivation characteristics among young and middle-aged individuals with prediabetes and to examine thei Show more
Based on self-determination theory (SDT), this study aimed to identify latent profiles of health motivation characteristics among young and middle-aged individuals with prediabetes and to examine their associations with self-management behaviours and metabolic risk indicators. This cross-sectional study recruited individuals with prediabetes from January 2024 to January 2025 using a convenience sampling method, enrolling 309 participants. Health behaviour motivation, basic psychological needs, prediabetes-related disease knowledge and self-management were assessed using validated questionnaires. Latent profile analysis (LPA) was conducted to identify distinct subgroups. Multinomial logistic regression was used to examine demographic, lifestyle and clinical factors associated with profile membership. Three types of health motivation characteristics were identified: high psychological need satisfaction-autonomous motivation profile (24.0%), moderate psychological need satisfaction-externally controlled motivation dominant profile (15.0%) and low psychological need satisfaction-low motivation profile (61.0%). After adjustment, BMI, comorbidity history and occupation were significantly associated with profile membership, whereas distance to primary healthcare facilities showed a non-robust pattern. Significant heterogeneity exists in health motivation characteristics among young and middle-aged individuals with prediabetes, with the low psychological need satisfaction-low motivation profile representing the largest proportion. Incorporating motivation-oriented stratification into diabetes prevention strategies may provide a useful framework for delivering tailored interventions and supporting more sustainable self-management. Show less
no PDF DOI: 10.1111/dom.70726
LPA
Tian Tian, Bin Hu, Xin-Tao Li +5 more · 2026 · European journal of pharmacology · Elsevier · added 2026-04-24
It remains unclear if Yes-associated protein (YAP) is involved in the protection of melatonin against myocardial ischemia/reperfusion (I/R) injury by regulating mitochondrial fission. In this experime Show more
It remains unclear if Yes-associated protein (YAP) is involved in the protection of melatonin against myocardial ischemia/reperfusion (I/R) injury by regulating mitochondrial fission. In this experiment, an in vivo myocardial I/R injury model was used. Animals were randomly assigned to receive the different interventions: Sham, I/R, 10 mg melatonin, 20 mg melatonin, lysophosphatidic acid (LPA, a YAP agonist), LPA + melatonin, verteporfin (a YAP antagonist) and verteporfin + melatonin. Myocardial infarct size and serum cardiac enzyme levels were measured. Histopathological features, mitochondrial morphology, malondialdehyde (MDA) and superoxide dismutase (SOD) levels, apoptosis, and dynamic-related protein 1 (DRP1) and YAP expressions of the I/R myocardium were also evaluated. We observed that melatonin postconditioning significantly reduced myocardial infarct size, ameliorated histological changes, and decreased oxidative stress and apoptosis in the I/R myocardium. These protective effects were associated with enhanced YAP nuclear translocation, increased p-DRP1 Ser637 expression and decreased p-DRP1 Ser616 expression. Activation of YAP with LPA demonstrated a protective effect against myocardial I/R injury, while inhibition of YAP with verteporfin exacerbated myocardial I/R injury and significantly attenuated the protective effect of melatonin postconditioning against myocardial I/R injury. These findings suggest that melatonin postconditioning confers cardioprotection by activating YAP to preserve mitochondrial ultrastructure and attenuate excessive DRP1-mediated fission. These structural changes may contribute to the observed reduction in myocardial injury. While these findings identify YAP activation as a potential therapeutic target, the limited dose range tested precludes determination of an optimal cardioprotective dose. Further studies defining the full dose-response relationship are still necessary to inform potential clinical translation. Show less
no PDF DOI: 10.1016/j.ejphar.2026.178827
LPA
Chaoyi Wang, Dong Yang, Jiangbo Hu +1 more · 2026 · Journal of Intelligence · MDPI · added 2026-04-24
The engagement and burnout profiles of preschool teachers are closely linked to young children's developmental outcomes. This study investigated engagement and burnout profiles among 529 Chinese presc Show more
The engagement and burnout profiles of preschool teachers are closely linked to young children's developmental outcomes. This study investigated engagement and burnout profiles among 529 Chinese preschool teachers in relation to their emotional states, varying experiences, and professional backgrounds. The sample predominantly consisted of early-career educators, with 47.8% aged between 21 and 30 years and 33.1% having 0-5 years of work experience. Using a quantitative cross-sectional design and latent profile analysis (LPA), this study identified four distinct profiles: slightly exhausted (48.58%), moderately burned out (18.53%), engaged (25.90%), and highly burned out (6.99%). Positive emotional states, such as enjoyment, were associated with higher work engagement, while anxiety was associated with a higher probability of belonging to burnout profiles. In contrast, perceived career success and negative emotions like anger did not significantly predict work engagement and burnout profiles. Teachers with extensive teaching experience and pre-service early childhood education (ECE) training were more likely to maintain high work engagement. This study highlights the critical role of emotional states and professional ECE training in promoting preschool teachers' work engagement and sustainable practice, particularly among early-career teachers. Show less
📄 PDF DOI: 10.3390/jintelligence14030046
LPA
Chao-Yun Cheng, Yih-Jer Wu, Chih-Fan Yeh +25 more · 2026 · Journal of the Formosan Medical Association = Taiwan yi zhi · Elsevier · added 2026-04-24
Lipoprotein(a) [Lp(a)] is a genetically determined lipoprotein that has been established as an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic Show more
Lipoprotein(a) [Lp(a)] is a genetically determined lipoprotein that has been established as an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD) and calcific aortic valve disease (CAVD). Structurally composed of a low-density lipoprotein (LDL)-like particle covalently linked to apolipoprotein(a) [apo(a)], Lp(a) exhibits unique atherogenic, thrombogenic, and inflammatory properties, largely due to its role as a carrier of oxidized phospholipids (OxPL). Plasma Lp(a) concentrations are predominantly determined by the number of kringle IV type 2 (KIV-2) repeats in the LPA gene, with minimal influence from lifestyle or environmental factors. Despite substantial evidence linking elevated Lp(a) to cardiovascular risk, clinical testing remains underutilized, especially in East Asian countries. In Taiwan, although population-level Lp(a) concentrations are comparatively low, a significant subset exceeds risk thresholds, with local studies confirming its prognostic value in coronary artery disease and ischemic stroke. Barriers, including limited physician awareness, implementation barriers, and therapeutic nihilism, contribute to its under-recognition. This review highlights the molecular features of Lp(a), its pathogenesis of cardiovascular disorders, epidemiology, and current barriers and future advances in diagnostic testing, with a particular focus on implications for cardiovascular risk management in Taiwan. Show less
no PDF DOI: 10.1016/j.jfma.2026.03.073
LPA
Luling Zhou, Lingzhi Yang, Xiaoyi Zhu +3 more · 2026 · Psycho-oncology · Wiley · added 2026-04-24
Family members of patients with digestive tract cancer represent a high-risk population for cancer development due to shared genetic and lifestyle factors, yet their own disease self-monitoring behavi Show more
Family members of patients with digestive tract cancer represent a high-risk population for cancer development due to shared genetic and lifestyle factors, yet their own disease self-monitoring behaviors remain largely uncharacterized. Understanding the typologies and determinants of these behaviors is essential for precision prevention. A cross-sectional study was conducted among 414 family members of hospitalized patients with esophageal, gastric, or colorectal cancer in Sichuan Province, China (March-October 2023). Self-reported data were collected using validated questionnaires assessing socio-demographics, cancer risk perception, and digestive tract cancer self-monitoring behaviors. Latent profile analysis (LPA) was applied to identify subgroups of monitoring behaviors, and multinomial logistic regression was used to determine influencing factors. LPA revealed three distinct behavioral profiles: poor behavior group (47.10%), average behavior group (38.16%), and good behavior group (14.74%). The mean total self-monitoring score was 2.76 ± 0.69. Multivariate analysis showed that low educational level, family per capita monthly income ≤ 2000 CNY, and not living with patient were significant risk factors for poor monitoring behaviors. Conversely, having existing chronic disease and higher cancer risk perception were strongly associated with better monitoring performance. Nearly half of family members of digestive tract cancer patients exhibit insufficient self-monitoring of early symptoms. Education level, family per capita monthly income, cohabitation, comorbidity, and cancer risk perception are key determinants of behavioral heterogeneity. Tailored, risk-profile-based interventions that enhance risk awareness and promote regular screening are urgently needed to strengthen family-centered cancer prevention. Show less
no PDF DOI: 10.1002/pon.70432
LPA
Qing Wen, Xiao-Rong Mao, Hai-Yan Wu +7 more · 2026 · Scientific reports · Nature · added 2026-04-24
Previous studies have indicated that Kinesiophobia is associated with adherence to exercise rehabilitation. Given the multifaceted impact of Kinesiophobia and the complex diversity of individual chara Show more
Previous studies have indicated that Kinesiophobia is associated with adherence to exercise rehabilitation. Given the multifaceted impact of Kinesiophobia and the complex diversity of individual characteristics, existing research struggles to identify the distinct features of Kinesiophobia. Latent Profile Analysis (LPA) identifies individuals’ latent traits based on their response patterns to observable measures, grouping individuals with similar symptom profiles into different categories, thereby better distinguishing differences among individuals. However, there is currently a lack of research on the kinesiophobia in the out-of-hospital early rehabilitation phase after Percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD). Therefore, the aim of this study is to investigate kinesiophobia in the out-of-hospital early rehabilitation phase after Percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD), classify it based on latent profile analysis, and explore the related factors of Kinesiophobia in CHD patients across different categories. This study selected coronary heart disease patients who were in the early outpatient rehabilitation stage after receiving PCI treatment at a tertiary hospital as the survey subjects. Latent Profile Analysis (LPA) was employed to fit potential classes of kinesiophobia among these patients. Chi-square tests, Kruskal-Wallis tests, and multinomial logistic regression were utilized to explore the factors influencing different kinesiophobia profiles in these patients. A total of 293 survey subjects were included, the age of the 293 patients was 62.31 ± 11.49 years, Males represent 77% of the total population. The results of potential profile analysis revealed that kinesiophobia in the out-of-hospital early rehabilitation phase of CHD in PCI-treated patients could be divided into three potential categories: the low kinesiophobia-exercise avoidance group (52.1%), the medium kinesiophobia-danger perception group (41.6%), and the high kinesiophobia-dysfunction group (6.3%). The logistic regression analysis results revealed that age, mode of residence, chronic comorbidities, polypharmacy, and debilitation were influential factors for different categories of kinesiophobia in the out-of-hospital early rehabilitation phase of CHD patients undergoing PCI. There is obvious group heterogeneity in kinesiophobia in the out-of-hospital early rehabilitation phaseof CHD patients undergoing PCI, and healthcare professionals should carry out individualized intervention Strategies to reduce the degree of kinesiophobia in patients on the basis of the characteristics and influencing factors of different categories. Show less
📄 PDF DOI: 10.1038/s41598-026-42755-x
LPA
Wenyan Xu, Jiayin Qin, Yang Yang +3 more · 2026 · Journal of tissue viability · Elsevier · added 2026-04-24
Diabetic foot (DF) is a serious diabetes complication that increases ulceration, amputation and mortality risks. Effective foot self-care can prevent up to 85% of ulcer events. This study aimed to ass Show more
Diabetic foot (DF) is a serious diabetes complication that increases ulceration, amputation and mortality risks. Effective foot self-care can prevent up to 85% of ulcer events. This study aimed to assess foot self-care behaviors among middle-aged and older DF patients, evaluate the impact of social support, and explore the mediating effects of frailty and fear of progression (FoP). We also identified patient subtypes using latent profile analysis. A cross-sectional study was conducted in a tertiary hospital from November 2024 to March 2025. A total of 361 patients with DF aged ≥45 years completed validated questionnaires, including the Social Support Rating Scale (SSRS), FRAIL Scale, FoP-Q-SF, and DFSQ-UMA. Structural equation modeling (SEM) assessed mediation effects, and latent profile analysis (LPA) identified subgroups based on frailty and FoP. A total of 383 questionnaires were distributed, with 361 valid responses collected, resulting in an effective response rate of 94.3%. The average score for foot self-care behavior was 58.52 ± 13.46, while levels of social support, frailty, and FoP were all at moderate levels. SEM indicated that Social support significantly predicted better foot self-care behavior (β = 0.225, P < 0.01). Frailty and FoP partially mediated this relationship (mediation effect: 6.68%). LPA identified three types of physical and mental profiles: Low FoP - Low Frailty Group (75.1%), Moderate FoP - Moderate Frailty Group (15.2%), and High FoP - High Frailty Group (9.7%). Importantly, patients in the High FoP-High Frailty Group demonstrated the lowest foot self-care behavior (mean = 43.70, P < 0.001), indicating the highest potential risk for ulcer occurrence and poor tissue outcomes. Social support enhances foot self-care in DF patients through reduced Frailty and FoP. Tailored interventions targeting high-risk subgroups may improve tissue outcomes and prevent ulcers. Show less
no PDF DOI: 10.1016/j.jtv.2026.100991
LPA
Hyun Suk Yang, Seokhwan Yoon, Mina Hur · 2026 · Reviews in cardiovascular medicine · added 2026-04-24
Lipoprotein(a) [Lp(a)] represents one of cardiovascular medicine's most profound implementation gaps: a genetically determined risk factor affecting 1.5 billion people worldwide, yet historically unde Show more
Lipoprotein(a) [Lp(a)] represents one of cardiovascular medicine's most profound implementation gaps: a genetically determined risk factor affecting 1.5 billion people worldwide, yet historically underutilized in clinical practice despite overwhelming evidence of its importance. This review examines the transformation of Lp(a) from an untreatable genetic burden to a promising therapeutic target through four interconnected perspectives. First, we document the implementation gap, where, despite affecting 20% of the global population, screening remains below 1%. The evolution from selective screening (2018 American College of Cardiology/American Heart Association (ACC/AHA)) to universal measurement (2024 National Lipid Association (NLA) Class I recommendation) reflects growing recognition, yet persistent barriers, including reimbursement challenges, provider knowledge gaps, and laboratory standardization issues, perpetuate underutilization. Second, we synthesize evidence establishing Lp(a)'s dual nature as both a biomarker and a causal factor. Observational studies demonstrate markedly increased cardiovascular risk with elevated Lp(a), while Mendelian randomization confirms causal relationships with coronary heart disease, large-artery stroke, peripheral artery disease, and aortic stenosis, with differential effects on stroke subtypes and non-atherosclerotic outcomes. Third, we examine the transformation from genetic determinism to pharmacological tractability. Despite 70-90% heritability, novel RNA-targeted therapies achieve unprecedented 80-95% reductions, with phase 3 cardiovascular outcome trials (completing 2026-2029) poised to determine whether dramatic Lp(a) lowering translates to clinical benefit. Finally, we provide a practical management algorithm bridging current evidence-based risk stratification with emerging therapies, stratifying patients by Lp(a) levels with corresponding interventions. The Lp(a) story exemplifies how genetic insights and technological innovation can transform immutable disease aspects into treatable conditions, offering a paradigm for precision cardiovascular medicine while highlighting the urgent need to close the gap between scientific knowledge and clinical implementation. Show less
📄 PDF DOI: 10.31083/RCM47152
LPA
Jiho Kim, Jiawei Sun, Young Ah Shin +8 more · 2026 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Autotaxin (ATX), the enzyme responsible for generating lysophosphatidic acid (LPA), is a validated target for fibrosis and cancer immunotherapy. Current ATX inhibitors face challenges related to insuf Show more
Autotaxin (ATX), the enzyme responsible for generating lysophosphatidic acid (LPA), is a validated target for fibrosis and cancer immunotherapy. Current ATX inhibitors face challenges related to insufficient efficacy or safety concerns, reflecting trade-offs between zinc engagement and selectivity. Here, we report a rigid triazolyl-azabicyclo[3.1.0]hexanyl-oxadiazolyl-pyrimidine scaffold developed through structure-based design, designed to potentially enhance ATX selectivity by promoting defined binding geometry. Systematic studies identified 14e as the most potent inhibitor (IC Show less
no PDF DOI: 10.1016/j.ejmech.2026.118733
LPA
Cailing Liu, Yueyuan He, Xue Yang +5 more · 2026 · International journal of women's health · added 2026-04-24
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it exp Show more
This study aimed to assess the childbirth readiness of women in their third trimester of pregnancy and to identify distinct readiness profiles using latent profile analysis (LPA). Additionally, it explored the factors influencing childbirth readiness in order to guide targeted interventions for improved maternal and neonatal outcomes. A cross-sectional study was conducted among women in their third trimester of pregnancy between May and November 2024. Eligible participants completed a general information questionnaire, the Childbirth Readiness Scale (CRS), the Childbirth Attitude Questionnaire (CAQ), and the Perceived Social Support Scale (PSSS). LPA identified three groups with distinct childbirth readiness levels: "Low Readiness - Childbirth Knowledge Deficit" (37.9%), "Moderate Readiness - Good Lifestyle Habits" (47.9%), and "High Readiness - Rich Health Knowledge" (14.2%). In addition, gestational age, previous childbirth history, adverse pregnancy outcomes, childbirth attitudes, and social support had different influences on women in different latent profiles of childbirth readiness. There was significant heterogeneity in childbirth readiness among women in their third trimester. Women with lower readiness-especially in childbirth knowledge-would greatly benefit from targeted educational programs, whereas those with moderate readiness levels would find enhanced emotional and psychological support most advantageous. These findings support the implementation of profile-based, personalized prenatal care strategies to improve childbirth preparedness and optimize maternal and neonatal outcomes. Show less
📄 PDF DOI: 10.2147/IJWH.S574855
LPA