👤 Ya-Ru Huang

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Also published as: Ai-Chun Huang, Ai-long Huang, Aijie Huang, Ailong Huang, Aimin Huang, Alden Y Huang, An-Fang Huang, Annie Huang, Aohuan Huang, Ariane Huang, Baihai Huang, Baisong Huang, Bao-Hua Huang, Bao-Yi Huang, Baoqin Huang, Baoying Huang, Benjamin J Huang, Benlin Huang, Bevan E Huang, Bi Huang, Biao Huang, Bin Huang, Binfang Huang, Bing Huang, Bingcang Huang, Bingkun Huang, Bizhi Huang, Bo Huang, Bo-Shih Huang, Bor-Ren Huang, Bowen Huang, Boyue Huang, C Y Huang, Caihong Huang, Caiyun Huang, Can Huang, Canhua Huang, Caoxin Huang, Cathelin Huang, Catherine Huang, Chang Ming Huang, Chang X Huang, Chang-Jen Huang, Changjiang Huang, Chao Huang, Chao Wei Huang, Chao-Wei Huang, Chao-Yuan Huang, Chaolin Huang, Chaoqun Huang, Chaowang Huang, Chaoyang Huang, Chen Huang, Chen-Na Huang, Chen-Ping Huang, Cheng Huang, Chengcheng Huang, Chengrui Huang, Chenshen Huang, Chenxiao Huang, Chi-Cheng Huang, Chi-Shuan Huang, Chia-Chang Huang, Chia-Wei Huang, Chieh-Cheng Huang, Chieh-Liang Huang, Chien-Hsun Huang, Chih-Chun Huang, Chih-Hsiang Huang, Chih-Jen Huang, Chih-Ting Huang, Chih-Yang Huang, Chin-Chang Huang, Chin-Chou Huang, Ching-Shan Huang, Ching-Shin Huang, Ching-Tang Huang, Ching-Wei Huang, Chiu-Ju Huang, Chiu-Jung Huang, Chiun-Sheng Huang, Chong Huang, Chongbiao Huang, Christine S Huang, Chuan Huang, Chuanbing Huang, Chuanhong Huang, Chuanjiang Huang, Chuanjun Huang, Chuansheng Huang, Chuiguo Huang, Chun Huang, Chun-Mei Huang, Chun-Yao Huang, Chun-Yin Huang, Chunfan Huang, Chung-Hsiung Huang, Chunhong Huang, Chunjian Huang, Chunkai Huang, Chunlan Huang, Chunling Huang, Chunshuai Huang, Chunxia Huang, Chunyao Huang, Chunyi Huang, Chunying Huang, Chunyu Huang, Chuxin Huang, Chuying Huang, Congcong Huang, Cuiyu Huang, Da Huang, Dajun Huang, Dan Huang, Dane Huang, Danqing Huang, Dantong Huang, David Huang, David J Huang, De Huang, De-Jun Huang, Dejia Huang, Dengjun Huang, Dianhua Huang, Dishu Huang, Dong Huang, Donglan Huang, Dongmei Huang, Dongni Huang, Dongqin Huang, Dongqing Huang, Dongsheng Huang, Dongyu Huang, Du-Juan Huang, Emily C Huang, Enhao Huang, Enping Huang, Eric Huang, Erya Huang, F Huang, Fan Huang, Fang Huang, Fang-Ling Huang, Fangling Huang, Fei Huang, Fei Wan Huang, Feiruo Huang, Feiteng Huang, Feizhou Huang, Feng Huang, Fengxian Huang, Fengyu Huang, Franklin W Huang, Fu-Chen Huang, Fu-Mei Huang, Fubiao Huang, Fude Huang, Fuhao Huang, Furong Huang, G Huang, Gairong Huang, Gang Huang, Gao-Zhong Huang, Gaoxingyu Huang, Ge Huang, Guang-Jian Huang, Guang-Yun Huang, Guangjian Huang, Guangming Huang, Guangqian Huang, Guangrui Huang, Guanhong Huang, Guanling Huang, Guanning Huang, Guanqun Huang, Guanrong Huang, Guicheng Huang, Guodong Huang, Guohong Huang, Guoping Huang, Guoqian Huang, Guowei Huang, Guoxing Huang, Guoying Huang, Guoyong Huang, Guoyuan Huang, H Huang, H S Huang, Hai Huang, Haigang Huang, Haihong Huang, Hailin Huang, Haimiao Huang, Haixin Huang, Haiyan Huang, Han-Chang Huang, Hanxia Huang, Hao Huang, Hao-Fei Huang, Haobo Huang, Haochu Huang, Haomin Huang, Haoyu Huang, Haoyue Huang, Haozhang Huang, Haozhong Huang, He Huang, Hefeng Huang, Heguang Huang, Helen Huang, Heming Huang, Hengbin Huang, Heqing Huang, Hete Huang, Hong Huang, Hongbiao Huang, Hongcan Huang, Hongda Huang, Hongfei Huang, Hongfeng Huang, Honghui Huang, Hongou Huang, Hongqiang Huang, Hongyan Huang, Hongyang Huang, Hongyi Huang, Hongying Huang, Hongyu Huang, Hongyun Huang, Hsi-Yuan Huang, Hsien-Da Huang, Hsing-Yen Huang, Hsu Chih Huang, Hsuan-Cheng Huang, Hsuan-Ying Huang, Hu Huang, Hua Huang, Huafei Huang, Huaju Huang, Huan Huang, Huanhuan Huang, Huanliang Huang, Huapin Huang, Huashan Huang, Huayun Huang, Hui Huang, Hui-Huang Huang, Hui-Kuang Huang, Hui-Yu Huang, Huibin Huang, Huifen Huang, Huiling Huang, Huimin Huang, Huina Huang, Huiqiao Huang, Huixian Huang, Huixin Huang, Huiyan Huang, Huiyu Huang, Huizhe Huang, Huizhen Huang, Hy Huang, I-Chieh Huang, J V Huang, Janice J Huang, Jasmin Huang, Jeffrey K Huang, Jia Huang, Jia-Jia Huang, Jiaan Huang, Jiahui Huang, Jiajin Huang, Jiajun Huang, Jian Huang, Jian-Dong Huang, Jiana Huang, Jianbiao Huang, Jianbing Huang, Jianfang Huang, Jianfeng Huang, Jiangfeng Huang, Jiangtao Huang, Jiangwei Huang, Jianhua Huang, Jianlu Huang, Jianmin Huang, Jianming Huang, Jiansheng Huang, Jianzhen Huang, Jiao-Qian Huang, Jiaoti Huang, Jiaotian Huang, Jiaqi Huang, Jiawen Huang, Jiaxing Huang, Jiayu Huang, Jiayue Huang, Jie Huang, Jie Qi Huang, Jiechun Huang, Jieli Huang, Jieling Huang, Jieping Huang, Jin Huang, Jin-Di Huang, Jin-Feng Huang, Jin-Hong Huang, Jin-Yan Huang, Jinbao Huang, Jinfang Huang, Jing Huang, Jing-Fei Huang, Jingang Huang, Jinghan Huang, Jingjing Huang, Jingkun Huang, Jinglong Huang, Jingtao Huang, Jingxian Huang, Jingyong Huang, Jingyuan Huang, Jingyue Huang, Jinhua Huang, Jinling Huang, Jinlu Huang, Jinshu Huang, Jinxing Huang, Jinyan Huang, Jinzhou Huang, Jiuhong Huang, Jiyu Huang, Ju Huang, Juan Huang, Jucun Huang, Jun Huang, Jun-Hua Huang, Jun-You Huang, Junhao Huang, Junhua Huang, Junjie Huang, Junming Huang, Junning Huang, Junqi Huang, Junwen Huang, Junyuan Huang, Junyun Huang, Juxiang Huang, K Huang, K N Huang, Kai Huang, Kaipeng Huang, Kang Huang, Kangbo Huang, Kate Huang, Katherine Huang, Ke Huang, Ke-Ke Huang, Ke-Pu Huang, Kevin Huang, Kevin Y Huang, Kuan-Chun Huang, Kui-Yuan Huang, Kuiyuan Huang, Kun Huang, Kuo-Hsiang Huang, Kuo-Hung Huang, L Huang, L-B Huang, Laiqiang Huang, Lan Huang, Lanlan Huang, Lei Huang, Leijuan Huang, Li Huang, Li-Hao Huang, Li-Jiang Huang, Li-Juan Huang, Li-Jun Huang, Li-Ping Huang, Li-Rung Huang, Li-Wei Huang, Li-Yun Huang, Lian Huang, Liang Huang, Liang-Yu Huang, Liangchong Huang, Lianggui Huang, Libin Huang, Lige Huang, Lihua Huang, Lijia Huang, Lijiang Huang, Lijuan Huang, Lijun Huang, Lili Huang, Limin Huang, Liming Huang, Lin Huang, Linchen Huang, Ling Huang, Ling-Chun Huang, Ling-Jin Huang, Lingling Huang, Lining Huang, Linjing Huang, Linsheng Huang, Linxue Huang, Linyuan Huang, Liping Huang, Liqiong Huang, Lixia Huang, Lixiang Huang, Lixuan Huang, Lixue Huang, Lizhen Huang, Longfei Huang, Lu Huang, Lu-Jie Huang, Lu-Qi Huang, Luanluan Huang, Luqi Huang, Luyang Huang, Luyao Huang, Lvzhen Huang, M C Huang, Man Huang, Manning Y Huang, Manyun Huang, Mao-Mao Huang, Mei Huang, Meihua Huang, Meina Huang, Meixiang Huang, Melissa Y Huang, Meng-Chuan Huang, Meng-Fan Huang, Meng-Na Huang, MengQian Huang, Menghao Huang, Mengjie Huang, Mengjun Huang, Mengnan Huang, Mengting Huang, Mengzhen Huang, Mia L Huang, Miao Huang, Min Huang, Ming-Lu Huang, Ming-Shyan Huang, Mingjian Huang, Mingjun Huang, Minglei Huang, Mingrui Huang, Mingwei Huang, Mingxuan Huang, Mingyu Huang, Mingyuan Huang, Minjun Huang, Minqi Huang, Minxuan Huang, Minyuan Huang, N Huang, Na Huang, Nian Huang, Nianyuan Huang, Ning-Na Huang, Ning-Ping Huang, Ninghao Huang, Nongyu Huang, Pan Huang, Pang-Shuo Huang, Paul L Huang, Pei Huang, Pei-Chi Huang, Pei-Ying Huang, Peiying Huang, Peng Huang, Peng-Fei Huang, Pengyu Huang, Piao-Piao Huang, Piaopiao Huang, Pin-Rui Huang, Ping Huang, Pingping Huang, Pintong Huang, Po-Hsun Huang, Po-Jung Huang, Poyao Huang, Qi Huang, Qi-Tao Huang, Qian Huang, Qiang Huang, Qianqian Huang, Qiaobing Huang, Qibin Huang, Qidi Huang, Qin Huang, Qing Huang, Qing-yong Huang, Qingjiang Huang, Qingke Huang, Qingling Huang, Qingqing Huang, Qingsong Huang, Qingxia Huang, Qingxing Huang, Qingyu Huang, Qingzhi Huang, Qinlou Huang, Qiong Huang, Qiubo Huang, Qiumin Huang, Qiuming Huang, Qiuru Huang, Qiuyin Huang, Qiuyue Huang, Qizhen Huang, Quanfang Huang, Qun Huang, R H Huang, R Stephanie Huang, Rae-Chi Huang, Ran Huang, Renbin Huang, Renhua Huang, Renli Huang, Richard Huang, Richard S P Huang, Riqing Huang, Ritai Huang, Robert J Huang, Rong Huang, Rong Stephanie Huang, Ronghua Huang, Ronghui Huang, Rongjie Huang, Rongrong Huang, Rongxiang Huang, Ru-Ting Huang, Ruby Yun-Ju Huang, Rui Huang, Ruihua Huang, Ruijin Huang, Ruina Huang, Ruiyan Huang, Ruizhen Huang, Runyue Huang, Ruo-Hui Huang, S Huang, S Y Huang, S Z Huang, Saisai Huang, San-Yuan Huang, See-Chang Huang, Sen Huang, Serina Huang, Shan Huang, Shang-Ming Huang, Shanhe Huang, Shanshan Huang, Shaojun Huang, Shaoxin Huang, Shaoze Huang, Shau Ku Huang, Shau-Ku Huang, Shenan Huang, Sheng-He Huang, Shengfeng Huang, Shengjie Huang, Shengnan Huang, Shengyan Huang, Shengyun Huang, Shi-Feng Huang, Shi-Shi Huang, Shi-Ying Huang, Shiang-Suo Huang, Shichao Huang, Shih-Chiang Huang, Shih-Wei Huang, Shih-Yi Huang, Shihao Huang, Shijing Huang, Shilu Huang, Shixia Huang, Shiya Huang, Shiying Huang, Shiyun Huang, Shoucheng Huang, Shu Huang, Shu-Pang Huang, Shu-Pin Huang, Shu-Qiong Huang, Shu-Wei Huang, Shu-Yi Huang, Shu-ying Huang, Shuai Huang, Shuang Huang, Shungen Huang, Shuo Huang, Shushu Huang, Shutong Huang, Shuwen Huang, Si-Yang Huang, Sidong Huang, Sihua Huang, Sijia Huang, Sinchun Huang, Sisi Huang, Sixiu Huang, Song Bin Huang, Song-Mei Huang, Songmei Huang, Songming Huang, Songqian Huang, Steven Huang, Steven Kuan-Hua Huang, Suli Huang, Sung-Ying Huang, Susan M Huang, Suwen Huang, Taiqi Huang, Tang-Hsiu Huang, Tao Huang, Te-Hsuan Huang, Tengda Huang, Tengfei Huang, Tian Hao Huang, Tianhao Huang, Tianpu Huang, Tiantian Huang, Tieqiu Huang, Tim H Huang, Ting Huang, Tinghua Huang, Tingping Huang, Tingqin Huang, Tingting Huang, Tingxuan Huang, Tingyun Huang, Tong Huang, Tongsheng Huang, Tongtong Huang, Tony T Huang, Tse-Shun Huang, Tseng-Yu Huang, Tsung-Wei Huang, Tzu-Rung Huang, Wan-Ping Huang, Way-Ren Huang, Wei Huang, Wei-Chi Huang, Weibin Huang, Weicheng Huang, Weifeng Huang, Weihua Huang, Weijun Huang, Weiqi Huang, Weisu Huang, Weiwei Huang, Weixue Huang, Weizhen Huang, Wen Huang, Wen-yu Huang, Wenbin Huang, Wenda Huang, Wenfang Huang, Wenfeng Huang, Wenhua Huang, Wenji Huang, Wenjie Huang, Wenjun Huang, Wenqiao Huang, Wenqing Huang, Wenqiong Huang, Wenshan Huang, Wentao Huang, Wenxin Huang, Wenya Huang, Wenying Huang, Wunan Huang, Wuqing Huang, X F Huang, X Huang, Xi Huang, Xian-sheng HUANG, Xiang Huang, Xianghua Huang, Xianglong Huang, Xiangming Huang, Xianping Huang, Xianqing Huang, Xiansheng Huang, Xianwei Huang, Xianxi Huang, Xianxian Huang, Xianying Huang, Xianzhang Huang, Xiao Huang, Xiao-Fang Huang, Xiao-Fei Huang, Xiao-Ming Huang, Xiao-Song Huang, Xiao-Yan Huang, Xiao-Yong Huang, Xiao-Yu Huang, XiaoFang Huang, Xiaochun Huang, Xiaofei Huang, Xiaofeng Huang, Xiaohong Huang, Xiaohua Huang, Xiaojie Huang, Xiaojing Huang, Xiaojuan Huang, Xiaolan Huang, Xiaoli Huang, Xiaolin Huang, Xiaoman Huang, Xiaomin Huang, Xiaoqing Huang, Xiaoshuai Huang, Xiaowen Huang, Xiaowu Huang, Xiaoxia Huang, Xiaoyan Huang, Xiaoying Huang, Xiaoyu Huang, Xiaoyuan Huang, Xiaoyun Huang, Xiaozhun Huang, Xiayang Huang, Xichang Huang, Xie-Lin Huang, Xin Huang, Xin-Di Huang, Xinen Huang, Xinfeng Huang, Xingguo Huang, Xingming Huang, Xingqin Huang, Xingru Huang, Xingxu Huang, Xingya Huang, Xingzhen Huang, Xinwen Huang, Xinyi Huang, Xinying Huang, Xinyue Huang, Xinzhu Huang, Xiongfeng Huang, Xionggao Huang, Xiuju Huang, Xiuyun Huang, Xiuzhen Huang, Xiwen Huang, Xu Huang, Xu-Feng Huang, Xuan Huang, Xuanzhang Huang, Xucong Huang, Xudong Huang, Xue-Ying Huang, Xue-shuang Huang, Xuehong Huang, Xuejie Huang, Xuejing Huang, Xuejun Huang, Xuemei Huang, Xueming Huang, Xueqi Huang, Xuewei Huang, Xuezhe Huang, Xuhui Huang, Xuliang Huang, Xun Huang, Xuxiong Huang, Y Huang, Y Joyce Huang, Y S Huang, Ya-Chih Huang, Ya-Dong Huang, Ya-Fang Huang, Yabo Huang, Yadong Huang, Yafang Huang, Yajiao Huang, Yajuan Huang, Yali Huang, Yamei Huang, Yan Huang, Yan-Lin Huang, Yan-Qing Huang, Yan-Ting Huang, Yang Huang, Yang Zhong Huang, Yangqing Huang, Yangyang Huang, Yanhao Huang, Yani Huang, Yanjun Huang, Yanlong Huang, Yanna Huang, Yanping Huang, Yanqin Huang, Yanqing Huang, Yanqun Huang, Yanru Huang, Yanshan Huang, Yansheng Huang, Yanxia Huang, Yanyan Huang, Yanyao Huang, Yao Huang, Yao-Kuang Huang, Yaowei Huang, Yatian Huang, Yating Huang, Ye Huang, Yechao Huang, Yen-Chu Huang, Yen-Ning Huang, Yen-Tsung Huang, Yeqing Huang, Yewei Huang, Yi Huang, Yi-Chun Huang, Yi-Jan Huang, Yi-Jia Huang, Yi-Wen Huang, Yi-ping Huang, Yichao Huang, Yichuan Huang, Yicong Huang, Yifan Huang, Yihao Huang, Yiheng Huang, Yihong Huang, Yikeng Huang, Yilin Huang, Yin Huang, Yin-Tsen Huang, Ying Huang, Ying-Hsuan Huang, Ying-Jung Huang, Ying-Zhi Huang, Yinghua Huang, Yingying Huang, Yingzhen Huang, Yingzhi Huang, Yiping Huang, Yiquan Huang, Yishan Huang, Yiwei Huang, Yixian Huang, Yizhou Huang, Yong Huang, Yong-Fu Huang, Yongbiao Huang, Yongcan Huang, Yongjie Huang, Yongqi Huang, Yongsheng Huang, Yongtong Huang, Yongye Huang, Yongyi Huang, Yongzhen Huang, Youheng Huang, Youyang Huang, Yu Huang, Yu-Ching Huang, Yu-Chu Huang, Yu-Chuen Huang, Yu-Chyi Huang, Yu-Fang Huang, Yu-Han Huang, Yu-Jie Huang, Yu-Lei Huang, Yu-Ren Huang, Yu-Shu Huang, Yu-Ting Huang, Yuan Huang, Yuan-Lan Huang, Yuan-Li Huang, Yuan-Lu Huang, Yuancheng Huang, Yuanpeng Huang, Yuanshuai Huang, Yuanyu Huang, Yuanyuan Huang, Yue Huang, Yue-Hua Huang, Yuedi Huang, Yueh-Hsiang Huang, Yuehong Huang, Yuejun Huang, Yueye Huang, Yuezhen Huang, Yufang Huang, Yufen Huang, Yuguang Huang, Yuh-Chin T Huang, Yuhong Huang, Yuhua Huang, Yuhui Huang, Yujia Huang, Yujie Huang, Yulin Huang, Yumei Huang, Yumeng Huang, Yun Huang, Yun-Juan Huang, Yunchao Huang, Yung-Hsin Huang, Yung-Yu Huang, Yunmao Huang, Yunpeng Huang, Yunru Huang, Yunyan Huang, Yuping Huang, Yuqi Huang, Yuqiang Huang, Yuqiong Huang, Yusi Huang, Yutang Huang, Yuting Huang, Yutong Huang, Yuxian Huang, Yuxin Huang, Yuxuan Huang, Yuyang Huang, Yuying Huang, Z Huang, Z Z Huang, Z-Y Huang, Zebin Huang, Zebo Huang, Zehua Huang, Zeling Huang, Zengwen Huang, Zhang Huang, Zhao Huang, Zhaoxia Huang, Zhe Huang, Zhen Huang, Zhenfei Huang, Zheng Huang, Zheng-Xiang Huang, Zhengwei Huang, Zhengxian Huang, Zhengxiang Huang, Zhengyang Huang, Zhenlin Huang, Zhenrui Huang, Zhenyao Huang, Zhenyi Huang, Zhi Huang, Zhi-Ming Huang, Zhi-Qiang Huang, Zhi-Xin Huang, Zhi-xiang Huang, Zhican Huang, Zhicong Huang, Zhifang Huang, Zhifeng Huang, Zhigang Huang, Zhihong Huang, Zhilin Huang, Zhilong Huang, Zhipeng Huang, Zhiping Huang, Zhiqi Huang, Zhiqiang Huang, Zhiqin Huang, Zhiqing Huang, Zhitong Huang, Zhiwei Huang, Zhixiang Huang, Zhiying Huang, Zhiyong Huang, Zhiyu Huang, Zhongbin Huang, Zhongcheng Huang, Zhongfeng Huang, Zhonglu Huang, Zhouyang Huang, Zi-Xin Huang, Zi-Ye Huang, Zicheng Huang, Zichong Huang, Zihan Huang, Zihao Huang, Ziheng Huang, Ziling Huang, Zini Huang, Zirui Huang, Zizhan Huang, Zongjian Huang, Zongliang Huang, Zunnan Huang, Zuotian Huang, Zuxian Huang, Zuyi Huang
articles
Liyun Zhu, Shufei Guo, Zhengyi Wang +6 more · 2026 · Cellular immunology · Elsevier · added 2026-04-24
Microglia play dual roles in neuroinflammation, driving either detrimental M1 or protective M2 polarization, which critically impacts the outcomes of ischemic stroke. While fibroblast growth factor 20 Show more
Microglia play dual roles in neuroinflammation, driving either detrimental M1 or protective M2 polarization, which critically impacts the outcomes of ischemic stroke. While fibroblast growth factor 20 (FGF20) is established as a neurotrophic factor with neuroprotective properties, its role in regulating microglial polarization remains unclear. This study investigated a novel function of FGF20 in alleviating post-stroke neuroinflammation and its underlying mechanisms. In a rat model of middle cerebral artery occlusion (MCAO), intracerebroventricular administration of FGF20 significantly reduced infarct volume and improved neurological function. RT-PCR analysis revealed that FGF20 bidirectionally regulated cytokine expression, suppressing M1-associated markers (CD86, IL-1β, IL-6, iNOS, TNF-α) while enhancing M2-associated markers (IL-10, Arg-1). Immunofluorescence staining demonstrated that FGF20 attenuated microglia activation in peri-infarct striatum and hippocampus. In vitro, FGF20 counteracted LPS-induced M1 polarization in primary microglia, downregulated the TLR4/NF-κB pathway, and upregulated TREM2 expression. Notably, while the selective FGFR1 inhibitor PD173074 abolished FGF20-induced TREM2 upregulation, it did not reverse the suppression of TLR4/NF-κB, indicating that these two effects are mediated through distinct regulatory mechanisms. These phenotypic shifts were further confirmed by a reduction in CD32/16 Show less
no PDF DOI: 10.1016/j.cellimm.2026.105095
FGFR1
M L Liu, S F Wu, Y Y Liu +5 more · 2026 · Zhonghua bing li xue za zhi = Chinese journal of pathology · added 2026-04-24
no PDF DOI: 10.3760/cma.j.cn112151-20250820-00567
FGFR1
Yan Xue, Zhihong Huang, Xue Zhu +10 more · 2026 · Journal of medicinal chemistry · ACS Publications · added 2026-04-24
FGFR1 overexpression is strongly correlated with tumorigenesis, malignant progression, and poor clinical outcomes of nonsmall cell lung cancer (NSCLC). The development of PET radiotracers specifically Show more
FGFR1 overexpression is strongly correlated with tumorigenesis, malignant progression, and poor clinical outcomes of nonsmall cell lung cancer (NSCLC). The development of PET radiotracers specifically targeting FGFR1 holds significant clinical value for guiding FGFR1-targeted therapy, evaluating treatment efficacy, and monitoring drug resistance. In this study, we used computational simulation approaches to develop linear peptide RY9 along with cyclic peptides cRY9 and cRY9M, derived from FGF2, a particular ligand of FGFR1, and designed FGFR1-targeting radiotracers [ Show less
no PDF DOI: 10.1021/acs.jmedchem.5c03417
FGFR1
Ziying Liu, Yuepeng Ke, Tingting Hong +7 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
Prostate cancer (PCa) is the most common male cancer and the second leading cause of cancer death in men. Androgen deprivation therapy (ADT) has been widely used as the first-line treatment for PCa. H Show more
Prostate cancer (PCa) is the most common male cancer and the second leading cause of cancer death in men. Androgen deprivation therapy (ADT) has been widely used as the first-line treatment for PCa. However, most PCa will progress to castration-resistant PCa (CRPC) that resists ADT 1 to 3 years after the treatment. Steroidogenesis from cholesterol is one of the mechanisms leading to ADT resistance. In PCa cells, low-density lipoprotein (LDL) mediated uptake is the major venue to acquire cholesterol. However, the mechanism of regulating this process is not fully understood. Fibroblast growth factor receptor 1 (FGFR1) is a receptor tyrosine kinase (RTK) that is ectopically expressed in PCa cells and promotes PCa progression by activating downstream signaling pathways. To comprehensively determine the roles of FGFR1 in PCa, we generated FGFR1-null DU145 cells and compared the transcriptomes of FGFR1-null and wild-type cells. We found that ablation of FGFR1 reduced the expression of genes promoting LDL uptake and de novo synthesis of cholesterol, thereby reducing the overall cholesterol pool in PCa cells. Detailed mechanistic studies further revealed that FGFR1 boosted the activation of sterol regulatory element-binding protein 2 (SREBP2) through ERK-dependent phosphorylation and cleavage, which, in turn, increased the expression of low-density lipoprotein receptor (LDLR) and enzymes involved in de novo cholesterol synthesis. Furthermore, in silico analyses demonstrated that high expression of FGFR1 was associated with high LDLR expression and clinicopathological features in PCa. Collectively, our data unveiled a previously unrecognized therapeutic avenue for CRPC by targeting FGFR1-driven cholesterol uptake and de novo synthesis. Show less
📄 PDF DOI: 10.3390/ijms27031190
FGFR1
Daniel Shookster, Shea O'Connell, Patel Darshan +5 more · 2026 · Molecular metabolism · Elsevier · added 2026-04-24
The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects Show more
The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects in rodents through AgRP neurons, the intracellular signaling mechanisms that mediate this process remain undefined. To define the role of FGFR1 within the α-Klotho signaling pathway in AgRP neurons, we performed a targeted deletion of the receptor in adult mice using an AAV-mediated CRISPR/Cas9 system alongside transgenic models. Deletion of FGFR1 in AgRP neurons disrupted energy homeostasis, promoting weight gain induced by a high-fat diet. Electrophysiological recordings revealed that FGFR1 loss increased the intrinsic firing rate of AgRP neurons and abolished the suppressive effect of α-Klotho on their activity. At the molecular level, FGFR1 knockdown decreased phosphorylation of the transcription factor FOXO1 and elevated AgRP mRNA expression. Our results define a crucial FGFR1 signaling axis in AgRP neurons that coordinately regulates their electrical activity and peptide expression, thereby establishing FGFR1 as an essential regulator of energy homeostasis. Show less
📄 PDF DOI: 10.1016/j.molmet.2026.102332
FGFR1
Ling Wang, Xue Zhu, Mengxi Yu +11 more · 2026 · ACS sensors · ACS Publications · added 2026-04-24
Uveal melanoma (UM), a rare yet aggressive ocular malignancy in adults, highlights the critical need for targeted therapies to improve clinical outcomes. Elevated FGFR1 expression in UM correlates wit Show more
Uveal melanoma (UM), a rare yet aggressive ocular malignancy in adults, highlights the critical need for targeted therapies to improve clinical outcomes. Elevated FGFR1 expression in UM correlates with aggressive disease progression and poor survival outcomes, underscoring its therapeutic value. This study reports the development of [ Show less
no PDF DOI: 10.1021/acssensors.5c04161
FGFR1
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
Chen-Xi Li, Chuan-Fei Tan, Qi-Min Zhang +3 more · 2026 · Annals of nutrition & metabolism · added 2026-04-24
The global obesity epidemic necessitates therapies that enhance energy expenditure. Non-shivering thermogenesis (NST) in brown/beige adipose tissue represents a promising target, with fibroblast growt Show more
The global obesity epidemic necessitates therapies that enhance energy expenditure. Non-shivering thermogenesis (NST) in brown/beige adipose tissue represents a promising target, with fibroblast growth factor 21 (FGF21) emerging as a critical regulator linking environmental stimuli to adipose plasticity and mitochondrial function. However, the precise mechanisms of FGF21 secretion and its specific role in adipose tissue browning and subsequent NST potentiation remain incompletely elucidated. FGF21 regulates NST via distinct spatiotemporal mechanisms. Acute cold exposure triggers hepatic FGF21 secretion through a β FGF21 exhibits dual regulation: hepatic (acute lipid mobilization) and adipose-based (chronic browning); adipose-targeted FGF21 delivery is essential for therapeutic efficacy, and future studies should integrate FGF21 with UCP1-independent pathways (e.g., creatine/succinate cycles) to advance obesity treatment. Show less
no PDF DOI: 10.1159/000548868
FGFR1
Yan Wang, Zaiqi Zhang, Liang Cao +5 more · 2026 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
This study aimed to integrate network pharmacology, bioinformatics analysis, molecular docking, and experimental validation to construct a "component-target-pathway" multidimensional network model, sy Show more
This study aimed to integrate network pharmacology, bioinformatics analysis, molecular docking, and experimental validation to construct a "component-target-pathway" multidimensional network model, systematically elucidate the potential mechanisms underlying the therapeutic effects of the extract of Potentilla freyniana Bornm. (PFB) on hepatocellular carcinoma (HCC), and thereby clarify its pharmacological basis. HCC datasets were retrieved from GEO and TCGA databases, and the DEGs were screened. The active components of the n-butanol extract of PFB were obtained by UHPLC-MS/MS, and the candidate target genes were predicted by the SwissTargetPrediction, Similarity Ensemble Approach, and SuperPred databases. The overlapping target genes were selected by GO and KEGG enrichment analysis, and the key target genes were screened by the SVM and RF algorithms. The verification of differentially expressed target genes and ROC analysis of key target genes were performed. Molecular docking was performed using CB-Dock2. We investigated the parameters of proliferation, migration, invasion, and apoptosis in the n-butanol extract of PFB treated HCC, and we verified the expressions of key proteins in HCC by Western blot. Toxicity experiments showed that the n-butanol extract of PFB did not cause significant toxic damage to the mice heart, liver, and kidney. CCK8 assays detected that the n-butanol extract of PFB had inhibitory effects on HCC. Through network pharmacology, we obtained a total of 17 overlapping genes and finally screened out 6 key target genes by SVM and RF algorithm analyses. Molecular docking and molecular dynamics results showed that the active components of PFB, such as ellagic acid, luteolin, berberrubine, procyanidin B1, and adenosine, had better affinity with these key target genes. By qPCR and Western blot assays, we verified that the expressions of CDK1 and EZH2 and the key factors of the MPAK signaling pathway were significantly down-regulated in HCC. This study demonstrated that the n-butanol extract of PFB exhibits a strong inhibitory effect on the proliferation of HepG2 cells and clarifies the underlying molecular mechanisms involved. By precisely modulating the expression levels of critical signaling molecules - including CDK1, PDGFRB, AKT1, FGFR1, MAPK1, and EZH2 - the n-butanol extract of PFB robustly disrupts cancer cell cycle progression and perturbs the activity of associated signaling pathways, thereby significantly curtailing the aberrant proliferation of tumor cells. This study not only elucidated the effects of the n-butanol extract of PFB on the aforementioned targets but also established a theoretical and experimental basis for further investigating their application in the treatment of HCC. Furthermore, it offers novel insights and research directions for the development of innovative therapeutic strategies derived from natural products, particularly those centered on multi-target synergistic approaches for liver cancer treatment. Show less
no PDF DOI: 10.1016/j.jep.2025.120492
FGFR1
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
Qiuxia Deng, Yang Huang, Xiaoying Ru +10 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The greater amberjack (
📄 PDF DOI: 10.3390/ani16050709
HSD17B12
Biwei Wu, Jianye Chang, Hailin Liu +2 more · 2026 · BMC genomics · BioMed Central · added 2026-04-24
The yellow oil crab is a highly valuable aquatic species, with the accumulation of nutritional and flavor compounds closely linked to the degree of gonadal degeneration. However, the molecular mechani Show more
The yellow oil crab is a highly valuable aquatic species, with the accumulation of nutritional and flavor compounds closely linked to the degree of gonadal degeneration. However, the molecular mechanisms of gonadal degeneration remain unclear. In this study, we analyzed the differences in gene expression and metabolite accumulation across three gonadal degeneration stages (QX, GX, and TSX) in yellow oil crab using transcriptome and non-targeted metabolomics approaches, and identified key genes and metabolites involved. A total of 240 differential accumulated metabolites (DAMs) were identified, most of which were significantly more highly accumulated in GX and TSX than in QX. K-means clustering analysis of DAMs and gene expression data revealed distinct stage-specific expression patterns from QX to TSX stage. Moreover, the “steroid hormone biosynthesis” pathway was significantly enriched, with 15 highly expressed steroid hormones and their derivatives in GX and TSX. 7 types of key genes involved in steroid hormone biosynthesis (such as Therefore, the identified differential steroid hormones and seven key genes were positively associated with gonadal degeneration in yellow oil crab. These results offer a theoretical basis for understanding the formation and aquaculture of the yellow oil crab. The online version contains supplementary material available at 10.1186/s12864-026-12597-y. Show less
📄 PDF DOI: 10.1186/s12864-026-12597-y
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
Xiaoying Xia, Yanhao Huang, Yuxin Qin +5 more · 2026 · BMC medical imaging · BioMed Central · added 2026-04-24
To assess the feasibility of intravoxel incoherent motion imaging (IVIM) for detecting renal injury in an obese rat model and monitoring renal function after weight-loss therapy. Forty-two male rats w Show more
To assess the feasibility of intravoxel incoherent motion imaging (IVIM) for detecting renal injury in an obese rat model and monitoring renal function after weight-loss therapy. Forty-two male rats were randomly divided into high-fat diet (HF) and standard diet (St) groups ( The D, D* and IVIM is a potential tool for noninvasive and longitudinally detection of early obesity-related renal injury and renal function improvement after weight-loss therapy. The online version contains supplementary material available at 10.1186/s12880-026-02288-1. Show less
📄 PDF DOI: 10.1186/s12880-026-02288-1
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
Shunming Zhang, Yan Borné, Le Ma +2 more · 2026 · Nutrition, metabolism, and cardiovascular diseases : NMCD · Elsevier · added 2026-04-24
We examined whether the excess cardiovascular disease (CVD) risk among adults with steatotic liver disease (SLD) subtypes could be reduced or eliminated through joint control of low-density lipoprotei Show more
We examined whether the excess cardiovascular disease (CVD) risk among adults with steatotic liver disease (SLD) subtypes could be reduced or eliminated through joint control of low-density lipoprotein cholesterol (LDL-C), lipoprotein(a) [Lp(a)], and high-sensitivity C-reactive protein (hs-CRP). This prospective cohort study included 291,995 participants from the UK Biobank, comprising 77,187 with metabolic dysfunction-associated steatotic liver disease (MASLD), 22,190 with metabolic dysfunction and alcohol-associated liver disease (MetALD), 5474 with alcohol-associated liver disease (ALD), and 187,144 without SLD. Cox proportional hazards models were used to assess CVD risk associated with numbers of LDL-C, Lp(a), and hs-CRP controlled within the target range. During 12 years of median follow-up, 24,251 CVD events were documented, with 19,661 coronary heart disease and 5600 stroke. Among individuals with various SLD subtypes, those with all three factors controlled had the lowest risks of CVD, with HRs (95% CIs) of 0.65 (0.58, 0.72) in MASLD, 0.61 (0.49, 0.76) in MetALD, and 0.57 (0.35, 0.93) in ALD when comparing to zero-factor control. In addition, among individuals with SLD subtypes achieving all three factors within target ranges, the HRs (95% CIs) of CVD were 0.97 (0.88, 1.07) in MASLD, 0.90 (0.75, 1.08) in MetALD, and 0.63 (0.42, 0.95) in ALD, as compared with non-SLD controls. Similar association patterns were observed for coronary heart disease and stroke. Participants with various SLD subtypes who had optimally controlled LDL-C, Lp(a), and hs-CRP showed no excess or even lower risk of CVD as compared with the general population. Not available. Show less
no PDF DOI: 10.1016/j.numecd.2026.104722
LPA
Guiyuan Ma, Peijuan Jiao, Xiaorou Zeng +4 more · 2026 · Asia-Pacific journal of oncology nursing · Elsevier · added 2026-04-24
To identify latent profiles of Fear of Progression (FoP) in parents of children with cancer, explore their associated factors, and test the mediating role of Sense of Coherence (SOC) between FoP and p Show more
To identify latent profiles of Fear of Progression (FoP) in parents of children with cancer, explore their associated factors, and test the mediating role of Sense of Coherence (SOC) between FoP and psychological distress (PD). A cross-sectional study was conducted with 273 parents of children with cancer in China. We used latent profile analysis (LPA) to identify FoP profiles, multinomial logistic regression to determine associated factors, and mediation analysis to test the role of SOC. Three distinct FoP profiles were identified: medication sensitive with low fear (38%), treatment sensitive with moderate fear (21%), and overall high fear (41%). These profiles were significantly differentiated by disease-related (e.g., treatment history), individual-related, and interpersonal-related (e.g., self-disclosure) factors. Across the sample, higher FoP was associated with greater PD. Importantly, mediation analyses revealed that SOC significantly mediated the relationship between FoP and PD for the moderate and high FoP profiles, but not for the low LoP profile. Parents of children with cancer exhibit heterogeneous FoP profiles. SOC acts as a crucial mediator between FoP and PD, particularly for parents with moderate and high FoP profiles. These findings underscore the importance of screening for specific FoP profiles and suggest that tailored interventions designed to enhance SOC could effectively reduce PD in high-risk parents. Show less
📄 PDF DOI: 10.1016/j.apjon.2026.100926
LPA
Guoyong Huang, Yawen Zheng, Guanghui Shen +2 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Psychiatric nurses engage in high levels of emotional labor, which can significantly influence their burnout and job performance. While prior research has linked emotional labor to burnout, the nuance Show more
Psychiatric nurses engage in high levels of emotional labor, which can significantly influence their burnout and job performance. While prior research has linked emotional labor to burnout, the nuanced interplay between different emotional regulation strategies remains underexplored. This study examines the distinct roles of surface acting (modifying outward expressions without changing internal feelings) and deep acting (adjusting internal emotions to align with external expectations) in psychiatric nursing, identifying their differential associations on burnout through network bridge analysis and latent profile analysis. A cross-sectional survey was conducted among 199 psychiatric nurses in a mental hospital in Wenzhou, China. Emotional labor was assessed using the Emotional Labor Scale, and burnout was measured with the Maslach Burnout Inventory-GS. Network bridge analysis was applied to identify key connections between emotional labor strategies and burnout dimensions. LPA was applied to reveal distinct emotional labor patterns. Surface acting emerged as the primary bridge linking emotional labor to burnout, displaying strong associations with emotional exhaustion and depersonalization. LPA identified four emotional labor profiles: These findings highlight the maladaptive effects of surface acting and the protective role of deep acting. Targeted interventions fostering deep acting may enhance psychiatric nurses' well-being and resilience. Future research should explore longitudinal shifts in emotional labor strategies. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1719188
LPA
Bishnu Prasad Bhattarai, Chi Yu, Chao-Wei Huang +2 more · 2026 · Poultry science · Elsevier · added 2026-04-24
The effects of extruded flaxseed-pulse mixture (LinPRO-24) on growth performance, tissue fatty acid composition, carcass traits, and meat quality in broilers were investigated. A total of 540-day-old Show more
The effects of extruded flaxseed-pulse mixture (LinPRO-24) on growth performance, tissue fatty acid composition, carcass traits, and meat quality in broilers were investigated. A total of 540-day-old male 308 Ross chicks were placed in pens (30 chicks/pen) and allocated to three diets (n = 6) in a completely randomized design. The diets were: CON (basal corn-soybean meal diet); LPA (CON+2.5% LinPRO-24); and LPB (CON+ 5.0% LinPRO-24). Diets were isocaloric and isonitrogenous, formulated for starter (day 1-10), grower (day 11-24), and finisher (day 24-34). Feed intake and body weight (BW) were recorded daily, and mortalities as they occurred to calculate average daily gain (AWG) and FCR. On day 34, visceral organs, breast tissue, and leg tissue were sampled. The CON group exhibited higher overall BW, AWG, and AFI than LPB (P < 0.05). Breast and leg tissues of birds fed LPB had the highest concentration of Alpha-linolenic acid (ALA) and total ω-3 PUFA followed by LPA; both had a higher ALA concentration than the CON group (P < 0.05). Thus, the ω-6:ω-3 ratio in these tissues was lower for LPA and LPB groups (P < 0.05). Additionally, both LPA and LPB groups had lower Docosatetraenoic acid (DTA, C22:4 ω-6), higher Docosapentaenoic acid (DPA, C22:5 ω-3) and total PUFA content, resulting in a reduced SFA:PUFA ratio in leg tissue compared with the CON group (P < 0.05). However, LPB negatively affected the water-holding capacity (WHC) in breast meat compared with the CON and in leg tissue compared with LPA treatment (P < 0.05). Moreover, LPB increased muscle hardness and gumminess in the breast compared with the CON group (P < 0.05), thereby negatively affecting meat textural qualities. Overall, both LPA and LPB diets increased the ω-3 PUFA content in poultry meat, thereby reducing the ω-6:ω-3 ratio. However, the current study suggests that the use of LinPRO-24 at 2.5% may be more appropriate for improving the fatty acid profile of broiler meat without compromising production performance and meat quality. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106804
LPA
Yuxian Huang, Matthew Pase, Nan Hua +6 more · 2026 · Systematic reviews · BioMed Central · added 2026-04-24
The 24-h movement behavior framework includes all physical activity (PA), sedentary behavior (SB), and sleep as interdependent components of a full day. While evidence highlights the benefits of highe Show more
The 24-h movement behavior framework includes all physical activity (PA), sedentary behavior (SB), and sleep as interdependent components of a full day. While evidence highlights the benefits of higher PA, lower SB, and adequate sleep for health, the combined effects of these behaviors on mental and physical health remain unclear. This systematic review will explore the associations between 24-h movement behavior compositions and mental and physical health outcomes, providing insights for developing balanced movement behavior guidelines. This systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guideline. PubMed, PsycINFO, Embase, Web of Science, and Sport Discus will be searched for studies published between 2015 and 2025. Eligible studies must report 24-h movement behavior metrics-the composition of time allocated to sleep, sedentary behavior, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Included studies must also examine at least one mental (e.g., depression, anxiety) or physical (e.g., BMI, systolic blood pressure, all-cause mortality) health outcome. For each study, we will extract the time allocated to each behavior and effect estimates with 95% CIs (e.g., percent change in BMI, odds ratios for depression, hazard ratios for mortality) to quantify the magnitude and direction of associations. Screening, data extraction, and quality assessment will be conducted independently by two reviewers. The quality of evidence for each outcome will be assessed using the GRADE approach. Due to expected heterogeneity in study designs, a meta-analysis will not be performed. Instead, a structured narrative synthesis will be presented, stratified by age group and health condition, to summarize findings and identify key research gaps. The proposed systematic review will be the first to comprehensively review how combinations of PA, SB, and sleep are associated with mental and physical health using compositional data analysis. By emphasizing the interdependent nature of 24-h movement behaviors, the findings will provide a clearer understanding of how time spent among these behaviors influences health outcomes. The review aims to support evidence-based recommendations for optimizing daily movement behavior patterns to improve health across diverse populations. PROSPERO (CRD42023445730). Show less
no PDF DOI: 10.1186/s13643-026-03165-2
LPA
Shuqin Hong, Xiuni Gan, Wen Zhou +8 more · 2026 · Patient preference and adherence · added 2026-04-24
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated w Show more
To describe the network structure and heterogeneity of symptom burden in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI), and to examine factors associated with different symptom burden profiles to inform risk-stratified management after PCI. A convenience sample of 261 patients with ACS who underwent PCI at a tertiary hospital in Chongqing between November 2024 and August 2025 was recruited. Data were collected using a demographic questionnaire, the Cardiac Symptom Survey, and the Seattle Angina Questionnaire. Network analysis was conducted to identify inter-symptom associations and the structural characteristics of the symptom network. Latent profile analysis (LPA) was performed to classify symptom burden patterns, and multinomial logistic regression analysis was used to explore factors associated with profile membership. Network analysis indicated that depression was the most central symptom (strength Symptom burden in patients with ACS after PCI demonstrates substantial individual heterogeneity. Depression occupies a central position within the symptom network, and BMI is associated with moderate and high symptom burden profiles. These findings suggest that integrating symptom network characteristics and BMI status into post-PCI assessment may facilitate risk-stratified management and targeted psychological and weight-related interventions to improve recovery outcomes. Show less
📄 PDF DOI: 10.2147/PPA.S580130
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
Huan Huang, Zhaojun Chen, Jiong Liu +4 more · 2026 · Journal of epidemiology and community health · added 2026-04-24
Older adults typically have higher sedentary behaviour (SB) and lower physical activity (PA) than younger adults. Studies on replacing SB with PA in relation to all-cause mortality in racially diverse Show more
Older adults typically have higher sedentary behaviour (SB) and lower physical activity (PA) than younger adults. Studies on replacing SB with PA in relation to all-cause mortality in racially diverse older adults remain limited. This study included 122 966 older adults from the China Kadoorie Biobank (CKB) and 207 212 older adults from the UK Biobank (UKB). SB and PA were assessed using baseline questionnaires, with PA classified as light (LPA), moderate (MPA) or vigorous (VPA) based on metabolic equivalents. Cox proportional hazards models and isotemporal substitution models were used to examine the associations between replacing SB with different PA intensities and all-cause mortality. Longer SB (per 30 min/day increase) was associated with a higher risk of all-cause mortality in both cohorts (CKB: HR 1.013, 95% CI 1.010 to 1.017; UKB: HR 1.012, 95% CI 1.009 to 1.015). PA of any intensity was associated with a reduced risk of all-cause mortality. In the CKB, replacing 30 min/day of SB with an equivalent duration of PA showed comparable protective associations (LPA: HR 0.963, 95% CI 0.958 to 0.968; MPA: HR 0.967, 95% CI 0.961 to 0.972; VPA: HR 0.965, 95% CI 0.960 to 0.971). In the UKB, replacing 30 min/day of SB with VPA was associated with the largest reduction in mortality risk (HR: 0.950, 95% CI 0.931 to 0.970). Replacing SB with PA of any intensity was associated with reduced all-cause mortality risk in older adults, with variations across populations. These findings highlight the need for population-specific PA recommendations to promote healthy ageing. Show less
no PDF DOI: 10.1136/jech-2025-225695
LPA
Ying Li, Jieling Huang, Liuliu Kong +1 more · 2026 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Improving Internet addiction among nursing students is of great significance to the future development of the nursing industry. Previous studies have proved that childhood trauma is closely related to Show more
Improving Internet addiction among nursing students is of great significance to the future development of the nursing industry. Previous studies have proved that childhood trauma is closely related to Internet addiction. However, the direct relationship between alexithymia and childhood trauma and Internet addiction has not been fully explored. The aim of this study is to identify different subgroups of nursing students based on their childhood trauma and to examine the mediating role of alexithymia between childhood trauma and Internet addiction. From April to May 2025, 3,697 nursing students were recruited as samples from Shandong, Hubei, Hunan, and Henan provinces in China by convenient sampling. This survey collected social demographic data. Including The Childhood Trauma Questionnaire - Short Form (CTQ-SF), the Toronto Alexithymia Scale (TAS-26), and the Internet addiction Scale. Potential profile analysis was used to determine the potential categories of childhood trauma characteristics of nursing students, and Pearson correlation analysis, Bayesian factor robustness analysis and mediation analysis were used to determine the potential relationships among variables. LPA identified three distinct groups based on their dominant usage: low (77.4%), medium (19.5%), and high (3.1%). In the relationship between childhood trauma and Internet addiction based on potential profile analysis, alexithymia has a significant mediating effect (SE = 0.442,95%CI = 0.095, 1.824; SE = 0.219, 95%CI = 0.093, 0.962). There is heterogeneity in childhood trauma among nursing students. Alexithymia plays an important mediating role in the relationship between childhood trauma and Internet addiction. It is suggested that nursing educators pay attention to the differences in childhood trauma among nursing students, provide corresponding psychological counseling for different students, improve them, thereby alleviating Internet addiction among nursing students and promoting their mental health. Show less
📄 PDF DOI: 10.3389/fpsyt.2026.1734868
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
Wei Wang, Xiaoxu Han, Xin Xu +2 more · 2026 · Journal of neurointerventional surgery · added 2026-04-24
Fear of disease progression (FoP) is a common psychological concern among patients with unruptured intracranial aneurysms (UIAs). However, heterogeneity in FoP and the role of psychological resilience Show more
Fear of disease progression (FoP) is a common psychological concern among patients with unruptured intracranial aneurysms (UIAs). However, heterogeneity in FoP and the role of psychological resilience before treatment remain insufficiently understood. In this cross-sectional study, patients with UIAs scheduled for endovascular treatment were recruited. FoP was assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-12), and psychological resilience was measured with the Connor-Davidson Resilience Scale (CD-RISC-25). Latent profile analysis (LPA) was conducted to identify distinct FoP profiles. Least Absolute Shrinkage and Selection Operator (LASSO) regression followed by multinomial logistic regression were used to examine factors associated with profile membership. Five distinct FoP profiles were identified: Minimal Fear-Good Adjustment, Mild Emotionally Elevated Fear, Moderate Emotionally Reactive Fear, Moderate Functionally Concerned Fear, and High Pervasive Fear. Multinomial logistic regression showed that higher psychological resilience-particularly the tenacity dimension-was associated with lower odds of belonging to the Mild Emotionally Elevated Fear, Moderate Emotionally Reactive Fear, and Moderate Functionally Concerned Fear profiles, compared with the Minimal Fear-Good Adjustment profile. No significant association was observed between tenacity and the High Pervasive Fear profile. Sensitivity analyses using alternative resilience indicators yielded consistent results. Among patients with UIAs prior to endovascular treatment, FoP exhibits marked heterogeneity. Psychological resilience, especially tenacity, is differentially associated with specific FoP profiles. These findings support the value of profile-based psychological assessment to inform targeted psychosocial support during treatment planning. Show less
no PDF DOI: 10.1136/jnis-2026-025036
LPA
Xiao Huang, Darui Gao, Wenya Zhang +7 more · 2026 · Biology of sex differences · BioMed Central · added 2026-04-24
Cancer patients face a markedly elevated risk of thromboembolism (TE), including both venous thromboembolism (VTE) and arterial thromboembolism (ATE), which contribute substantially to morbidity and m Show more
Cancer patients face a markedly elevated risk of thromboembolism (TE), including both venous thromboembolism (VTE) and arterial thromboembolism (ATE), which contribute substantially to morbidity and mortality in this population. This study examined sex disparities in associations between sleep, sedentary behavior (SB), light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and TE risk, in cancer patients using data from the UK Biobank. A longitudinal cohort analysis of 6,765 cancer patients (2,774 men and 3,991 women) from the accelerometry subsample was conducted using Cox proportional hazards and isotemporal substitution models stratified by sex. The incidence of VTE was 3.0% in men versus 2.2% in women, while ATE incidence was 5.0% versus 2.2%, respectively. Compared with high LPA, medium and low durations were associated with 2.75- and 2.88-fold higher VTE risk only in men. Reallocating 1 h per day from sleep or SB to LPA reduced VTE risk by 24% and 19% in men. Low MVPA was associated with 3.35- and 1.59-fold higher ATE risk in women and men, respectively. Reallocating 1 h per day from sleep, SB, or LPA to MVPA reduced ATE risk by 71%, 70%, and 66%, respectively, only in women. LPA was associated with a lower risk of VTE only in male cancer patients, whereas MVPA was linked to a lower risk of ATE in female patients, indicating sex-specific associations between movement behaviors and TE risk. Show less
📄 PDF DOI: 10.1186/s13293-026-00867-z
LPA
Xiaozhao Lu, Ziyao Yuan, Xiaoyu Lin +13 more · 2026 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
Lipoprotein(a) [Lp(a)] and diabetes mellitus (DM) are independent risk factors for worse outcomes in coronary artery disease (CAD) patients. Evidence of their joint association is limited. We aimed to Show more
Lipoprotein(a) [Lp(a)] and diabetes mellitus (DM) are independent risk factors for worse outcomes in coronary artery disease (CAD) patients. Evidence of their joint association is limited. We aimed to investigate the combined effect of elevated Lp(a) and DM on survival outcomes in CAD patients. This study included 65 547 CAD patients (62.6 ± 10.7 years, 27.7% female) from CIN-II and RED-CARPET cohorts. Patients were stratified into four groups by Lp(a) levels (< or ≥ 30 mg/dL) and DM status. Multivariable Cox regression models estimated associations with cardiovascular and all-cause mortality, examining additive and multiplicative interactions. During a median follow-up of 5.5 years, 10 686 (16.3%) patients died from all causes and 5106 (7.8%) died from cardiovascular causes. Patients with Lp(a) ≥ 30 mg/dL and DM were independently associated with cardiovascular mortality (adjusted hazard ratio [aHR]: 1.28, 95% CI: 1.20-1.35; aHR: 1.53, 95% CI: 1.44-1.62, all p < 0.001, respectively). Compared to patients with Lp(a) < 30 mg/dL without DM, the aHRs were 1.26 (95% CI: 1.16-1.36, p < 0.001), 1.51 (95% CI: 1.40-1.62, p < 0.001) and 2.00 (95% CI: 1.83-2.18, p < 0.001) for those with Lp(a) ≥ 30 mg/dL without DM, Lp(a) < 30 mg/dL with DM and Lp(a) ≥ 30 mg/dL with DM, respectively. Significant additive interaction between elevated Lp(a) and DM on cardiovascular mortality was observed, with 12% of the excess risk attributed. Similar associations were observed in all-cause mortality. In patients with CAD, elevated Lp(a) and DM act synergistically to increase the risk of cardiovascular and all-cause mortality, suggesting that both risks should be considered to integrate management. Show less
no PDF DOI: 10.1111/dom.70603
LPA
Jia Pu, Lan Huang, Yuemei Li +1 more · 2026 · BMC women's health · BioMed Central · added 2026-04-24
This study investigated the latent profiles of reproductive concerns among women of childbearing age with systemic lupus erythematosus (SLE) and analyzed the differences in the characteristics across Show more
This study investigated the latent profiles of reproductive concerns among women of childbearing age with systemic lupus erythematosus (SLE) and analyzed the differences in the characteristics across these profiles. A questionnaire was administered to 332 female patients of childbearing age with SLE at four tertiary-grade general hospitals in Mianyang City, China. We used a general information questionnaire, the Reproductive Concerns After Cancer Scale (RCAC), the Medical Coping Modes Questionnaire (MCMQ), and the Social Support Rating Scale (SSRS). A latent profile analysis (LPA) and multiple logistic regression models were employed to investigate the characteristics of the latent profiles and the factors that influence reproductive concerns. The total score for the reproductive concerns among women with SLE of childbearing age was moderate (58.45 ± 13.51). Four latent profiles were identified: low reproductive concern–high infertility acceptance (12.66%), moderate reproductive concern–concern about personal health (18.95%), moderate reproductive concern–concern about the child’s health (45.64%), and high reproductive concern–balance (22.75%). The model fit indices that support the four latent profiles included high entropy (0.92) and a significant result of the Lo–Mendell–Rubin (LMR) adjusted likelihood ratio test ( The reproductive concerns observed among women of childbearing age with SLE exhibited significant heterogeneity. In the field of clinical nursing, personalized intervention measures should be developed based on distinct categorical characteristics and influencing factors to reduce reproductive concerns among members of this patient population. Show less
📄 PDF DOI: 10.1186/s12905-026-04342-0
LPA