👤 Wendy Wu

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Also published as: Jiake Wu, Ming-Jiuan Wu, Siying Wu, Yijian Wu, Fong-Li Wu, Chih-Chung Wu, Jin'en Wu, Zhongwei Wu, Zixiang Wu, D P Wu, Haiping Wu, Geyan Wu, Qi-Zhu Wu, Jianjin Wu, Su Wu, Shwu-Yuan Wu, Xiaodi Wu, Changxin Wu, Kuen-Phon Wu, Guofeng Wu, Zhiping Wu, Xiaojun Wu, Qibing Wu, Xiaoting Wu, Cheng-Hsin Wu, Junhua Wu, Wenze Wu, Hong Wu, Yandi Wu, Zhong Wu, An-Chih Wu, Jianhui Wu, Xiaoke Wu, Zhenguo Wu, Jason H Y Wu, Bing-Bing Wu, Yi-Mi Wu, Selena Meiyun Wu, M Wu, Hui-Mei Wu, Danni Wu, Minqing Wu, Sijie Wu, Geng-ze Wu, Kun Wu, Cheng-Hua Wu, Shaofei Wu, Zhaoyang Wu, Qihan Wu, R Ryanne Wu, Kunling Wu, Hao Wu, Mingxuan Wu, Pei Wu, Yukang Wu, Douglas C Wu, Jingtao Wu, Guizhen Wu, Zhangjie Wu, Lili Wu, Jianwu Wu, Min-Jiao Wu, Biaoliang Wu, Huan Wu, Shengxi Wu, Fei-Fei Wu, Peih-Shan Wu, Yu-Yuan Wu, Guoqing Wu, Pei-Yu Wu, Jing Wu, Lun-Gang Wu, Geting Wu, Dongzhe Wu, G Wu, Junlong Wu, Jia-Jun Wu, Jiangyue Wu, Muzhou Wu, Junzhu Wu, Ray-Chin Wu, Jian-Qiu Wu, T Wu, Jianxiong Wu, Liping Wu, Haiwei Wu, Guoping Wu, Yong-Hao Wu, Jin-hua Wu, Yi Wu, You Wu, Chongming Wu, Xudong Wu, Qunzheng Wu, Liqiang Wu, Cuiling Wu, Kunfang Wu, Bian Wu, Limeng Wu, Jason Wu, Zhibing Wu, Shuying Wu, Caihong Wu, Naqiong Wu, Joseph C Wu, Huating Wu, Tianhao Wu, Zhi-Hong Wu, Congying Wu, Gaojun Wu, Dongping Wu, Chiao-En Wu, Li Wu, Shaoxuan Wu, Haixia Wu, Yihang Wu, Gen Wu, Fanchang Wu, Xiaorong Wu, Mingjie Wu, Mei Wu, Jiahao Wu, Jiapei Wu, Lingqian Wu, Jia Wu, Fangge Wu, Sen-Chao Wu, Yanhui Wu, Zhiqiang Wu, Sarah Wu, Shugeng Wu, Xuanqin Wu, Dongmei Wu, Caiwen Wu, Junjing Wu, Jiangdong Wu, Guihua Wu, Meini Wu, Yingbiao Wu, Rui Wu, Hua-Yu Wu, Bifeng Wu, Jingwan Wu, Lingling Wu, Junzheng Wu, Xinmiao Wu, Yi-Fang Wu, Yuyi Wu, Qinglin Wu, Yixuan Wu, Leilei Wu, Bin Wu, Tianqi Wu, Hui-Chen Wu, Shiya Wu, Jian Wu, Sijun Wu, Cong Wu, Yiwen Wu, Feng Wu, Xi-Ze Wu, Qiuji Wu, Alexander T H Wu, Semon Wu, Qinan Wu, Lai Man Natalie Wu, Zhuokai Wu, Panyun Wu, Ran Wu, Kui Wu, Yumei Wu, Xinrui Wu, Biwei Wu, Yueling Wu, Xing Wu, Jiayi Wu, Hua Wu, Yuen-Jung Wu, Bingjie Wu, Xiaoliang Wu, Matthew A Wu, Jin Wu, Juanjuan Wu, Qiuhong Wu, Hongfu Wu, Xiaoming Wu, Ming-Sian Wu, Ronghua Wu, Junduo Wu, Dandan Wu, Ming-Shiang Wu, Yuliang Wu, Ying-Ying Wu, Chaoling Wu, Guang-Liang Wu, De Wu, Yihua Wu, Yuanyuan Wu, Tsung-Jui Wu, Yulian Wu, Han Wu, Lipeng Wu, Zhihao Wu, Jiexi Wu, Anna H Wu, Qiu Wu, Huazhen Wu, Yaqin Wu, Shengru Wu, Chieh-Lin Stanley Wu, Xiaoqian Wu, Xiahui Wu, Jianli Wu, Yun-Wen Wu, Jian-Yi Wu, Qiuya Wu, Tsai-Kun Wu, Xinyin Wu, Guoyao Wu, Zhenfeng Wu, Guoli Wu, J W Wu, Bill X Wu, Zujun Wu, Jianliang Wu, Yuanshun Wu, Ling-Ying Wu, Zeng-An Wu, Xue Wu, Jianrong Wu, Ke Wu, Mengxue Wu, Cheng-Yang Wu, Jinghong Wu, Rongrong Wu, Ruolan Wu, Rong Wu, Kevin Zl Wu, Xiaohong Wu, Run Wu, Zaihao Wu, Chaowei Wu, Yu-Ke Wu, Anyue Wu, Xinjing Wu, Yun Wu, Wanxia Wu, Xuan Wu, Meili Wu, Shu Wu, Yi-No Wu, Chao-Liang Wu, Chengwei Wu, Y-W Wu, Pensee Wu, Zhao-Bo Wu, Guangxian Wu, Xiao Wu, Juanli Wu, Xinlei Wu, Sai Wu, Changjie Wu, Jiawei Wu, Yujuan Wu, Haoze Wu, Renlv Wu, Xiaoyang Wu, Yipeng Wu, Yuh-Lin Wu, Yu'e Wu, An-Hua Wu, Dan-Chun Wu, Meng-Chao Wu, Yuanhao Wu, Jer-Yuarn Wu, Qian-Yan Wu, Guangyan Wu, Huisheng Wu, Huijuan Wu, Shuting Wu, Long-Jun Wu, Alice Ying-Jung Wu, Xiru Wu, Lidi Wu, Zhenfang Wu, Yetong Wu, Disheng Wu, Linmei Wu, Huiwen Wu, Zhenzhou Wu, Yuhong Wu, Liang Wu, Liyan Wu, Kuan-Li Wu, Pei-Ting Wu, Xiao-Jin Wu, Lifeng Wu, Terence Wu, Shujuan Wu, Gang Wu, Xue-Mei Wu, Szu-Hsien Wu, Yan-ling Wu, Xiaokang Wu, Lingyan Wu, Yih-Jer Wu, Xinghua Wu, Chunfu Wu, Yingxia Wu, Rongling Wu, Xifeng Wu, Jinhua Wu, Sihan Wu, Ming-Yue Wu, Shiyang Wu, K D Wu, Jinmei Wu, Luyan Wu, Shin-Long Wu, Zhipeng Wu, Shuai Wu, Guangzhen Wu, Zhixiang Wu, Longting Wu, Zhengsheng Wu, Xiaoqiong Wu, Yaoxing Wu, Yuqin Wu, Yudan Wu, Hongting Wu, Zoe Wu, Chi-Jen Wu, R Wu, Zhongqiu Wu, Meina Wu, Anke Wu, Dengying Wu, Cheng-Jang Wu, Hsi-Chin Wu, Shufang Wu, Yongjiang Wu, Yuan-de Wu, Sihui Wu, Qi Wu, Wenhui Wu, Fenfang Wu, K S Wu, Nana Wu, Jianzhi Wu, Lin-Han Wu, Zhen Wu, Jinjun Wu, Chen-Lu Wu, Jing-Fang Wu, Haiyan Wu, Yihui Wu, Qiqing Wu, Zhengzhi Wu, Dai-Chao Wu, Zhenyan Wu, Wen-Jeng Wu, Yongqun Wu, Guanming Wu, Sean M Wu, Hei-Man Wu, Su-Hui Wu, Diana H Wu, Ben J Wu, Pingxian Wu, Chew-Wun Wu, Yillin Wu, Xiaobing Wu, Jiang-Bo Wu, Jerry Wu, Siming Wu, Zijun Wu, Daqing Wu, Yu-Hsuan Wu, Lichao Wu, Zhimin Wu, Qijing Wu, Daxian Wu, Zhaoyi Wu, Z Wu, Tong Wu, Shusheng Wu, Cheng-Chun Wu, Tracy Wu, D Wu, Ting-Ting Wu, Xiao-Yan Wu, J Wu, Lan Wu, Changchen Wu, Qi-Fang Wu, Changwei Wu, Liufeng Wu, Liangyan Wu, Kan Wu, Eugenia Wu, Mingming Wu, Xiaolong Wu, Chunru Wu, Zhaofei Wu, Shenhao Wu, Li-Peng Wu, Yuna Wu, Minna Wu, Justin Che-Yuen Wu, Buling Wu, Chengyu Wu, Wutian Wu, Yuwei Wu, Guixin Wu, Haijing Wu, Hei Man Wu, Xiao-Hui Wu, Qiuchen Wu, Junfei Wu, Wenda Wu, Xiaofeng Wu, Linyu Wu, Yung-Fu Wu, Mengbo Wu, Zhenling Wu, Maoqing Wu, Zuping Wu, Chun-Chieh Wu, Julian Wu, Binbin Wu, Xiaohui Wu, Qian Wu, Xinchun Wu, Shuisheng Wu, Xueqing Wu, Linxiang Wu, Bo Wu, Moxin Wu, Xiao-Cheng Wu, Anzhou Wu, Shuyi Wu, Jiahui Wu, Meiqin Wu, Jer-Yuan Wu, Shihao Wu, Wen-Shu Wu, Wudelehu Wu, Ruonan Wu, Song Wu, Yulin Wu, De-Fu Wu, Hongyu Wu, Yurong Wu, Zixuan Wu, Shih-Ying Wu, Chih-Hsing Wu, Chengrong Wu, Yinghao Wu, Yuanzhao Wu, Baochuan Wu, Wenjie Wu, Ziliang Wu, Liuting Wu, Chia-Ling Wu, Y Q Wu, Man Wu, Na Wu, Wutain Wu, Chenyang Wu, Jinyu Wu, Selwin K Wu, Ping Wu, Lorna Wu, D I Wu, Yi-Cheng Wu, Jianzhong Wu, Xiaoyun Wu, Zhourui Wu, Li-Jun Wu, Xinhe Wu, Zhi-Wei Wu, Yinan Wu, Xinyan Wu, Xin Wu, Ting-Feng Wu, Yawei Wu, Shixin Wu, Yiqun Wu, Jiarui Wu, Hong-Mei Wu, Xiaojin Wu, Tsung-Teh Wu, Qi-Nian Wu, Ju Wu, Kai-Yue Wu, Xi-Chen Wu, Pengjie Wu, Zhe Wu, Shaoping Wu, Zhou Wu, Han-Jie Wu, Weijie Wu, Haijiang Wu, Hongfei Wu, Xiaojie Wu, Yi-Ying Wu, Zhentian Wu, Ze Wu, Kai-Hong Wu, Yuting Wu, Minyao Wu, Xueyan Wu, Shinan Wu, Feifei Wu, Yonghui Wu, Haoxuan Wu, Yanzhi Wu, Yiyi Wu, Dong Wu, Guohao Wu, Wenjing Wu, Shibo Wu, Wenqian Wu, Tian Wu, Tiantian Wu, Hai-Yan Wu, Chong Wu, Hongxian Wu, Daoyuan Wu, Zongfu Wu, Ling Wu, Yuxiang Wu, Xilong Wu, Yuyu Wu, Huijian Wu, Fengming Wu, Zong-Jia Wu, Guorong Wu, Chuanhong Wu, Choufei Wu, Chi-Chung Wu, Junfang Wu, Xingwei Wu, Ling-Fei Wu, Xiaoqing Wu, Xinyang Wu, Xiaomin Wu, Yili Wu, Hong-Fu Wu, Shao-Ming Wu, Thomas D Wu, Lizhen Wu, Yuanming Wu, Hsien-Ming Wu, Jian Hui Wu, Litong Wu, Yuxian Wu, Weihua Wu, Lei Wu, C Wu, Wei Wu, Yu-E Wu, Qiulian Wu, Mei-Hwan Wu, Yuexiu Wu, Shaoze Wu, Zilong Wu, Chi-Hao Wu, Baojin Wu, Chao Wu, Yao Wu, Ya Wu, Do-Bo Wu, Wenjun Wu, Zhongren Wu, Nini Wu, Michael C Wu, Ning Wu, Jie Wu, Ming J Wu, Yi-Syuan Wu, Limei Wu, Zhenzhen Wu, Tianwen Wu, Wen-Chieh Wu, Yunhua Wu, Junfeng Wu, Shunan Wu, Junqi Wu, Honglin Wu, Jianing Wu, Maureen Wu, Yexiang Wu, Yan-Hua Wu, Mengjun Wu, Y H Wu, Liuying Wu, Mingxing Wu, Suhua Wu, Xiaomeng Wu, Shyh-Jong Wu, Tung-Ho Wu, Hongliang Wu, Wenxian Wu, Xuekun Wu, Ed Xuekui Wu, Wenqiang Wu, Chuang Wu, Jingyi Wu, Duojiao Wu, Xueyuan Wu, Ji-Zhou Wu, Lianqian Wu, Gaige Wu, Qing-Qian Wu, Haihu Wu, Xiushan Wu, Xueyao Wu, Tingchun Wu, Yafei Wu, Lingxi Wu, R-J Wu, Weidong Wu, Re-Wen Wu, Zhidan Wu, Peiyao Wu, Xuemei Wu, Chen Wu, Yiting Wu, Kerui Wu, Lihong Wu, Shiqi Wu, Liren Wu, Xiuhua Wu, Beili Wu, Yongqi Wu, Ruihong Wu, Huini Wu, Guang-Long Wu, Lingyun Wu, Po-Chang Wu, Wenxue Wu, Qinghua Wu, Ru-Zi Wu, Wenlin Wu, Changjing Wu, Xiexing Wu, J Y Wu, Jianping Wu, Guanggeng Wu, W J Wu, Zhichong Wu, Di Wu, Shaoyu Wu, Xiaotong Wu, Junyong Wu, Hui Wu, Hongyan Wu, Shengde Wu, Mengyuan Wu, Yutong Wu, Zheming Wu, Yiping Wu, Guiping Wu, Wen-Hui Wu, Dapeng Wu, Bing Wu, Wen-Sheng Wu, Yunpeng Wu, Li-Ling Wu, Xiao-Yuan Wu, Baiyan Wu, Qiu-Li Wu, Ying Wu, Xiao-Ye Wu, Da-Hua Wu, Hsing-Chieh Wu, Hui-Xuan Wu, Chieh-Jen Wu, Pengning Wu, Sichen Wu, Mengying Wu, S F Wu, Jia-En Wu, Ming-Der Wu, Weida Wu, Qi-Jun Wu, Guo-Chao Wu, Zhenyong Wu, Qi-Biao Wu, Yangfeng Wu, Lijie Wu, Zhiye Wu, Jihui Wu, Qianqian Wu, JieQian Wu, Zhengliang L Wu, Jingyun Wu, Xiaoman Wu, Ruohao Wu, Yiyang Wu, Zhengfeng Wu, Xiao-Jun Wu, Lizi Wu, Qiang Wu, Riping Wu, J-Z Wu, Guangjie Wu, Pengfei Wu, Jundong Wu, Beier Wu, Jianying Wu, Meng-Ling Wu, Lingxiang Wu, Jamie L Y Wu, Keija Wu, Xilin Wu, Yanhua Wu, An-Li Wu, Yi-Ming Wu, Chengbiao Wu, Huanghui Wu, Dong-Feng Wu, Kunsheng Wu, Zhengcan Wu, Yuxin Wu, Kun-Rong Wu, Dong-Fang Wu, Guanxian Wu, Guifen Wu, Sensen Wu, Yifeng Wu, Tzu-Chun Wu, Pin Wu, Qingping Wu, R M Wu, Mian Wu, S J Wu, Haisu Wu, Senquan Wu, Jingjing Wu, Cheng Wu, Meng Wu, Geping Wu, Yumin Wu, Yu Wu, Xia Wu, Xian-Run Wu, William Ka Kei Wu, Juan Wu, Pei-Ei Wu, Meng-Hsun Wu, Yingying Wu, S M Wu, Xiangwei Wu, Guangrun Wu, Liuxin Wu, Yangyu Wu, Jia-Hui Wu, Jin-Zhen Wu, S L Wu, Shaohuan Wu, Yanli Wu, June K Wu, Haishan Wu, H Wu, Zhou-Ming Wu, Deqing Wu, Dong-Bo Wu, Tao Wu, Binxin Wu, Yalan Wu, Xiangxin Wu, Xueji Wu, Hongxi Wu, Zhonghui Wu, Jiaxi Wu, Tianzhi Wu, Meiqi Wu, Weiwei Wu, Yan-Jun Wu, Lijuan Wu, Tingqin Wu, Jianming Wu, P L Wu, Yih-Ru Wu, Lanlan Wu, Jianjun Wu, An-Xin Wu, Jianguang Wu, Xingjie Wu, Jianzhang Wu, Xianan Wu, Wei-Ping Wu, Haoan Wu, Fang-Tzu Wu, Wenwen Wu, Zhongjun Wu, Xi Wu, Teng Wu, Xiaoling Wu, Mengjuan Wu, Wen Wu, Yifan Wu, Yang Wu, Qianhu Wu, Wu-Tian Wu, Shenyue Wu, Qianwen Wu, Ye Wu, Gui-Qin Wu, Lixing Wu, Grace F Wu, Xing-Ping Wu, Ming Wu, Lisha Wu, Yanchuan Wu, Siqi Wu, Yuming Wu, Yuan Wu, I H Wu, Yu-Ting Wu, Hailong Wu, Minghua Wu, Zhenlong Wu, B Wu, Fang Wu, Guanzhong Wu, Liqun Wu, Guifu Wu, Zhikang Wu, Chris Y Wu, Qi-Yong Wu, Qingshi Wu, Zhao-Yang Wu, Man-Jing Wu, Chih-Ching Wu, Jun Wu, Jinhui Wu, Jincheng Wu, Linhong Wu, Hung-Tsung Wu, Tangchun Wu, Xinglong Wu, Zhen-Yang Wu, Ma Wu, Yin Wu, Jiu-Lin Wu, Dongyan Wu, Yong Wu, Yan Wu, Weizhen Wu, Changyu Wu, Fanggeng Wu, Dishan Wu, Yue Wu, Yi-Long Wu, Ge-ru Wu, Jinqiao Wu, Jing-Wen Wu, Zhongyang Wu, Lifang Wu, Sheng-Li Wu, Songfen Wu, Jia-Wei Wu, Yihan Wu, Kebang Wu, Wenyong Wu, Cai-Qin Wu, Yilong Wu, Yanan Wu, Hsiu-Chuan Wu, Xueqian Wu, Yen-Wen Wu, Paul W Wu, Xing-De Wu, Ying-Ting Wu, Yucan Wu, Mingfu Wu, Na-Qiong Wu, Jinze Wu, Linzhi Wu, Xuhan Wu, H J Wu, Dirong Wu, Ruize Wu, Chung-Yi Wu, Yaohong Wu, Jianyi Wu, Jugang Wu, Jiao Wu, Liang-Huan Wu, Xueling Wu, Ruying Wu, Gen Sheng Wu, Zhaoyuan Wu, Shiwen Wu, Andong Wu, Yu-Ling Wu, Hsan-Au Wu, Jia-Qi Wu, Yanting Wu, Xihai Wu, Lulu Wu, Xuxian Wu, Xiaomei Wu, Jingyue Wu, Ren Wu, Shuihua Wu, S Wu, Haoming Wu, Yupeng Wu, Samuel M Wu, Fan Wu, Yuesheng Wu, Yihe Wu, Tiange Wu, Jiayu Wu, Shuang Wu, Chia-Lung Wu, Yaojiong Wu, Shengnan Wu, Zhuoze Wu, Y Wu, Y Y Wu, Depei Wu, Zimu Wu, Yi-Hua Wu, Haiyun Wu, Yanyan Wu, Min Wu, Wenjuan Wu, Guangxi Wu, Jinfeng Wu, Junjie Wu, Yawen Wu, Pinglian Wu, Hui-Hui Wu, Xunwei Wu, Xuefeng Wu, Depeng Wu, Constance Wu, Dianqing Wu, Qibiao Wu, Nan Wu, Hao-Tian Wu, Hanyu Wu, Xiaojiang Wu, Cheng-Jun Wu, San-pin Wu, Xiaofan Wu, Xiwei Wu, Shi-Xin Wu, Shao-Guo Wu, Sunyi Wu, Yueheng Wu, Chengqian Wu, Kuixian Wu, Xin-Xi Wu, Guanyi Wu, Qiuxia Wu, Danhong Wu, Siyi Wu, He Wu, Zhong-Jun Wu, Xiangsheng Wu, Kaili Wu, Lanxiang Wu, Liting Wu, Ping-Hsun Wu, Zheng Wu, Wen-Ling Wu, Jiang-Nan Wu, Huanlin Wu, Yongfei Wu, Catherine A Wu, Leslie Wu, Shuo Wu, Peng-Fei Wu, Cho-Kai Wu, Meng-Han Wu, Hon-Yen Wu, Yuguang Philip Wu, Anguo Wu, Hai-Yin Wu, Yicheng Wu, Xiaolang Wu, Yujie Wu, Qing Wu, V C Wu, Haomin Wu, Xingdong Wu, Hengyu Wu, Jiang Wu, Xiaoli Wu, Chengxi Wu, Junyi Wu, Ling-qian Wu, William K K Wu, Chun Wu, Lesley Wu, Niting Wu, Jiayuan Wu, Xueying Wu, S-F Wu, Yingning Wu, David Wu, Mei-Na Wu, Joshua L Wu, Jin-Shang Wu, Guanzhao Wu, Jianqiang Wu, Runda Wu, Li-Hsien Wu, Rongjie Wu, June-Hsieh Wu, Huazhang Wu, Huanwen Wu, Xiu-Zhi Wu, Yanran Wu, Xianfeng Wu, Weibin Wu, Xuanshuang Wu, Yan Yan Wu, G X Wu, Runpei Wu, Chien-Ting Wu, Li-Na Wu, Jiaqi Wu, Qinfeng Wu, Chia-Chang Wu, Yueming Wu, Siyu Wu, Renhai Wu, Baojian Wu, Yi-Xia Wu, C-H Wu, Wei-Yin Wu, Renrong Wu, Chuan-Ling Wu, Xinran Wu, Fengying Wu, Qiuliang Wu, Guanhui Wu, Jinjie Wu, Wei-Chi Wu, Wei-Xun Wu, Meng-Na Wu, Lin Wu, Wan-Fu Wu, Jiajing Wu, Colin Chih-Chien Wu, Yajie Wu, Qiaowei Wu, Yaru Wu, Xiaoping Wu, Xue-Yan Wu, Weijun Wu, Mengchao Wu, Boquan Wu, Chunyan Wu, Zelai Wu, Pei-Wen Wu, Guojun Wu, Yichen Wu, Ming-Tao Wu, Hsueh-Erh Wu, Guang-Bo Wu, Zhi-Yong Wu, Chia-Zhen Wu, Kay L H Wu, Yong-Hong Wu, Anping Wu, Jiahang Wu, Xiaobin Wu, Ching-Yi Wu, Linzhen Wu, Xiaoxing Wu, Haidong Wu, Zhen-Qi Wu, Mark N Wu, Jianmin Wu, Guanrong Wu, Xianpei Wu, An-Dong Wu, Yanchun Wu, Dongsheng Wu, Ren-Chin Wu, Yuchen Wu, Mengna Wu, Lijun Wu, Zhuanbin Wu, Yanjing Wu, Haodi Wu, Lun Wu, Si-Jia Wu, Yongfa Wu, Hai-Ping Wu, Ximei Wu, Wenyu Wu, Xiangping Wu, L-F Wu, Yixia Wu, Yiran Wu, Haiying Wu, Yanhong Wu, Xiayin Wu, Yushun Wu, Yali Wu, Qin Wu, Xiaofu Wu, Qitian Wu, Jiamei Wu, Xiaoyong Wu, Qiong Wu, Wujun Wu, Xiaoying Wu, Peiyi Wu, N Wu, Yongmei Wu, Xiaojing Wu, Yizhou Wu, Dan Wu, Wen-Qiang Wu, Anshi Wu, Junqing Wu, Xiao-Yang Wu, Zhaoxia Wu, Liyang Wu, Hongke Wu, Mengqiu Wu, Haibin Wu, Peng Wu, Ding Lan Wu, Lecheng Wu, Yingzhi Wu, Kejia Wu, Anyi Wu, Junshu Wu, Jianxin Wu, Deguang Wu, Jiaxuan Wu, W Wu, Justin C Y Wu, Jiong Wu, Yu-Chih Wu, Qinglan Wu, Xinyi Wu, Diana Wu, Xuefen Wu, Zhongluan Wu, Yanqiong Wu, Shengming Wu, Jian-Lin Wu, Donglin Wu, Daren Wu, Lintao Wu, Xiaodong Wu, Chang-Jiun Wu, Irene X Y Wu, Chunshuai Wu, Yaping Wu, Xiping Wu, Yangna Wu, Chia-Chen Wu, Zongheng Wu, Wenyi Wu, Yansheng Wu, Shaojun Wu, Aimin Wu, Caisheng Wu, Xu Wu, Zhongchan Wu, Fei Wu, Yaohua Wu, Qinyi Wu, Yibo Wu, Zhengyu Wu, Yadi Wu, Hang Wu, L Wu, Mingjun Wu, Yuetong Wu, Wen-Juan Wu, Guangming Wu, Lingzhi Wu, Tingting Wu, Yuanbing Wu, Zhong-Yan Wu, Zhuzhu Wu, Cuiyan Wu, Colin O Wu, Baoqin Wu, Shuyan Wu, Hongmei Wu, Guangsen Wu, Xiaolin Wu, An Guo Wu, Kailang Wu, Chien-Sheng Wu, Chun-Hua Wu, Wenqi Wu, Jemma X Wu, Quanhui Wu, Qing-Wu Wu, Yanxiang Wu, Jiajin Wu, Qiao Wu, Yuan Kai Wu
articles
Hui Zhang, Huan Su, Kaimei Xia +5 more · 2026 · Discover oncology · Springer · added 2026-04-24
This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses. The re Show more
This study aims to construct a prognostic model for hepatocellular carcinoma (HCC) based on palmitoylation-related genes and explore its molecular mechanisms through multi-dimensional analyses. The research integrated single-cell transcriptome data (GSE189903) with bulk transcriptome data (TCGA-LIHC, GEO datasets), focusing on palmitoylation-related genes in HCC epithelial cells. The scAB deconvolution algorithm was used to analyze the association between epithelial cell subsets and patient survival, and hdWGCNA was combined to construct a gene co-expression network. Through differential expression analysis, univariate Cox regression, and LASSO penalized regression, 7 key genes (SERPINE1, FMO3, ALDH2, CPS1, SLCO1B1, ACAT1, ACADS) were identified to build a prognostic risk model. Validation results showed that the model could effectively distinguish the survival prognosis of high-risk and low-risk patients (AUC values for 1/3/5 years in the TCGA cohort were 0.676, 0.656, and 0.642, respectively; those in the GSE14520 validation set were 0.702, 0.658, and 0.654, respectively), and the risk score was an independent prognostic factor. Further analyses revealed that the risk score was associated with tumor staging, immune cell infiltration (e.g., T cells, monocytes), response to immunotherapy, and drug sensitivity. Functional enrichment analysis indicated that the high-risk group was enriched in cell cycle regulation and oncogenic signaling pathways, while the low-risk group was related to metabolic pathways. This study is the first to analyze the regulatory network of palmitoylation in HCC epithelial cells by combining single-cell and bulk transcriptomes, providing new molecular targets and methodological references for HCC prognosis evaluation and precision therapy. Show less
📄 PDF DOI: 10.1007/s12672-026-04538-8
CPS1
Yu-Wei Liu, Chi-Jen Wu, Kai-Fu Chang +16 more · 2026 · Journal of Cancer · added 2026-04-24
Obstructive sleep apnea (OSA) is characterized by recurrent intermittent hypoxia (IH) and has been increasingly associated with lung cancer incidence and mortality. However, how IH-related biological Show more
Obstructive sleep apnea (OSA) is characterized by recurrent intermittent hypoxia (IH) and has been increasingly associated with lung cancer incidence and mortality. However, how IH-related biological programs relate to immune remodeling, stemness-associated phenotypes, and therapeutic resistance in lung cancer remains incompletely understood. We integrated single-cell RNA sequencing data from IH-exposed murine lung tissues (GSE301350) with bulk transcriptomic datasets from TCGA-LUAD and GSE31210 to examine hypoxia-associated cellular and transcriptional patterns. Stemness was quantified using CytoTRACE and transcriptome-based stemness scoring, and its associations with immune infiltration, immune checkpoint expression, TIDE scores, predicted drug sensitivity, and immunotherapy response were evaluated. A stemness-based prognostic model was constructed using LASSO Cox regression and validated in independent cohorts. Single-cell analysis revealed marked immune remodeling under intermittent hypoxia (IH), including expansion of effector T cells, and monocytes/macrophages, populations alongside reduced B cells and dendritic cells. In human LUAD cohorts, stemness-high tumors were associated with mitochondrial and metabolic stress-related transcriptional programs, and increased expression of immune checkpoint genes (PD-1, PD-L1, CTLA4, LAG3). Elevated stemness scores correlated with higher TIDE scores, poorer overall survival, and reduced predicted responsiveness to immunotherapy. LASSO modeling identified a six-gene stemness signature (EIF5A, MELTF, SEMA3C, CPS1, TCN1, SELENOK), that consistently stratified patients into high- and low-risk groups across TCGA and GSE31210 cohorts. Multivariate Cox regression confirmed the risk score as an independent prognostic factor. Drug sensitivity analyses further suggested that stemness-high tumors may exhibit increased susceptibility to selected kinase inhibitors (Dasatinib, A-770041) and metabolic modulators (Phenformin, Salubrinal). OSA-associated IH is linked to stemness-associated transcriptional plasticity, immune suppression, and adverse clinical outcomes in lung cancer. The identified stemness-based gene signature provides a robust prognostic biomarker and highlights potential therapeutic vulnerabilities, supporting integrative strategies that combine stemness and immune -targeted approaches with immunotherapy in OSA-associated lung cancer. Show less
📄 PDF DOI: 10.7150/jca.126708
CPS1
Qingqing Zhang, Di Wu, Fengyun Guo +4 more · 2026 · Digestion · added 2026-04-24
High-risk chronic atrophic gastritis (CAG; OLGA/OLGIM Ⅲ-Ⅳ) carries significant gastric cancer (GC) risk yet lacks reliable gastric stem cell (GSC)-based biomarkers. We evaluated GSC markers LGR5 (prol Show more
High-risk chronic atrophic gastritis (CAG; OLGA/OLGIM Ⅲ-Ⅳ) carries significant gastric cancer (GC) risk yet lacks reliable gastric stem cell (GSC)-based biomarkers. We evaluated GSC markers LGR5 (proliferative) and TFF2 (protective) for risk stratification. TCGA/GEO bioinformatics analysis preceded immunohistochemical validation in 60 clinical samples. Protein co-expression (Wnt/β-catenin, Ki67, Bax) was assessed. Diagnostic/prognostic power was tested via ROC and Kaplan-Meier analyses. Functional networks were deciphered through GO/KEGG enrichment. High-risk CAG and GC tissues showed LGR5 upregulation and TFF2 downregulation (p < 0.001). IHC confirmed these patterns, with concurrent Wnt activation (β-catenin↑, cyclin D1↑) and proliferation-apoptosis imbalance (Ki67↑, Bax↓). TFF2 outperformed LGR5 in diagnosing high-risk CAG (AUC: 0.842 vs. 0.681). Poor GC prognosis correlated with high LGR5/low TFF2 (p < 0.05). Co-expression networks linked LGR5 to metabolic genes (CPS1, ADH6) and TFF2 to mucosal defense (GKN1, PGC). The coordinated assessment of LGR5 and TFF2 offers a promising approach to identifying high-risk CAG. This biomarker pair captures a homeostatic imbalance in GSCs linked to Wnt/β-catenin signaling, establishing a novel molecular framework for early detection and future targeted strategies. Show less
no PDF DOI: 10.1159/000549887
CPS1
Qun Luo, Yashuo Zhang, Yingxian Qian +3 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
RNA G-quadruplexes (G4s) formed at the 5'-end of the RNA component of human telomerase (hTR) are known to directly affect telomerase activity. However, the unfolding kinetics of hTR
no PDF DOI: 10.1002/advs.202522779
DHX36
Yixi Wang, Lintao Xia, Yang Xiao +4 more · 2026 · Journal of bone and mineral metabolism · Springer · added 2026-04-24
Apoptosis plays a significant role in osteoporosis (OP), yet a causal relationship between apoptosis gene expressions and OP remains unexplored. This study applies an integrated multi-omics analysis t Show more
Apoptosis plays a significant role in osteoporosis (OP), yet a causal relationship between apoptosis gene expressions and OP remains unexplored. This study applies an integrated multi-omics analysis to establish causality between them, offering clinical treatment and prediction insights. Apoptosis-related genes are sourced from GeneCards, and 6 transcriptomic datasets from the cells in the circulation are obtained from GEO. Meta-analysis integrated differentially expressed apoptosis-related genes (DEGs) from the above 6 datasets. Causality between gene expressions, epigenetic changes, and OP is examined using OP genome-wide association study (GWAS), plasma expression quantitative trait loci (eQTL), and methylation quantitative trait loci (mQTL) data, while analysis of skeletal muscle eQTL and OP GWAS data is conducted. External validation is performed with the UK Biobank datasets. Meta-analysis of 6 GEO datasets identified 384 DEGs, including 78 apoptosis-related genes. The three-step analysis indicates 8 candidate causal genes in blood, including MAP3K3, DPP8, RPL3, PPP2CA, CD86, LRRFIP1, TRAP1, and DUSP6, with LRRFIP1 influenced by four methylation sites. Analysis of skeletal muscle data reveals 4 causal genes, including SIPA1L3, PDLIM7, CTNNB1, and DPP8. Among apoptosis-related genes causally linked to OP in both circulation and skeletal muscle, LRRFIP1 was validated based on methylation-associated regulation and demonstrated consistent, reproducible expression patterns. This study uses a multi-omics strategy to clarify the roles of apoptosis-related gene expressions and their corresponding methylation in OP, providing targets and a basis for early diagnosis, personalized treatment, and monitoring of OP. Show less
📄 PDF DOI: 10.1007/s00774-026-01710-6
DUSP6
Xinran Ma, Yang Zhang, Yao Wang +12 more · 2026 · Signal transduction and targeted therapy · Nature · added 2026-04-24
Primary resistance to chimeric antigen receptor (CAR) T-cell therapies has limited their widespread application. Our prior genome-wide CRISPR/Cas9 screening revealed that the loss of CD58, a crucial i Show more
Primary resistance to chimeric antigen receptor (CAR) T-cell therapies has limited their widespread application. Our prior genome-wide CRISPR/Cas9 screening revealed that the loss of CD58, a crucial intrinsic resistance factor in tumors, resulted in insufficient immune synapse formation and impaired CAR T-cell activation and cytotoxicity. However, the specific signaling pathway and transcriptional changes associated with CAR T-cell dysfunction have not been addressed. Here, we revealed that AP-1-mediated activation was attenuated in CAR T cells impaired by tumor CD58 loss, driving a decrease in mitochondrial biogenesis, metabolic kinetic impairment, mitochondrial membrane potential loss and ROS accumulation. Moreover, this AP-1 attenuation triggered death receptor-independent apoptosis through the intrinsic mitochondrial pathway. In seeking therapeutic strategies, we pharmacologically and genetically blocked three distinct inhibitory phosphatases positioned upstream of AP-1 signaling. Multifaceted validation has demonstrated that dual specificity phosphatase 6 (DUSP6) blockade is an effective approach to supplement AP-1 signaling while notably reducing CAR T-apoptosis and enhancing mitochondrial fitness, proliferation and long-term cytotoxicity. The transcriptomic profiles of DUSP6-ablated CAR T cells revealed markedly upregulated T-cell activation signatures and enriched metabolic pathways. Clinically, bulk and single-cell RNA-seq analyses revealed that DUSP6 was downregulated in patients who responded to T-cell-based immunotherapy, implying its relevance to patient outcomes. Our findings repositioned CD58 not merely as an immune synapse component but also a metabolic checkpoint in CAR T-cell biology, the loss of which triggers AP-1-dependent mitochondrial derangement and creates a permissive landscape for intrinsic apoptosis, which can be ameliorated by ablation of the inhibitory phosphatase DUSP6. Crucially, DUSP6 ablation represents a promising engineering target to potentiate CAR T-cell efficacy in broader applications. Show less
📄 PDF DOI: 10.1038/s41392-026-02597-5
DUSP6
Can Jiang, Xiaoli Tang, Ziyang Xu +5 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and exp Show more
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and explore the underlying mechanism. Using a CCL4-induced mouse model, the consistent upregulation of DUSP6 expression was observed. Notably, when Dusp6 was knocked down, liver fibrosis showed significant improvement, revealing a protective effect intricately linked to the ERK pathway. This was accompanied by an increase in ferroptosis-related proteins SLC7A11 and GPX4, underscoring the role of ferroptosis, an iron-dependent form of regulated cell death, in this process. Transcriptomic analysis further revealed a crucial downregulation of Cyp2e1 following Dusp6 knockdown. In vitro, DUSP6 knockdown not only promoted ERK phosphorylation but also suppressed CYP2E1 expression, enhancing cell proliferation, bolstering hepatocyte resistance to ferroptosis, and alleviating hepatocyte injury. Importantly, inhibiting CYP2E1 in mouse models of liver fibrosis effectively slowed the progression. These findings illuminate a critical regulatory mechanism that DUSP6 regulates liver fibrosis via targeting ferroptosis, offering new a direction for therapeutic strategies in liver disease. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.149856
DUSP6
Xiangwen Shi, Linmeng Tang, Mingjun Li +3 more · 2026 · Molecular biotechnology · Springer · added 2026-04-24
There is a close connection between aging and osteoarthritis (OA), but the specific mechanisms are still unclear. This study aims to explore the potential connections and molecular mechanisms between Show more
There is a close connection between aging and osteoarthritis (OA), but the specific mechanisms are still unclear. This study aims to explore the potential connections and molecular mechanisms between OA and aging through multi-omics and genetics methods. Integrating single-cell RNA sequencing (scRNA-seq), bulk RNA-seq data, Mendelian randomization (MR), colocalization analysis, and cell function analysis, this study explores the correlation between OA and aging. Furthermore, it investigates the potential causal relationship between key marker genes and OA. Integrating and analyzing scRNA-seq data from OA, aging, and control groups revealed a significant increase in the proportion of the classical monocyte core subgroup. Differential expression analysis yielded 77 marker genes, and further MR analysis identified four key marker genes (DUSP6, CSTA, CD300E, and GPX1) as causally related to OA, which was confirmed in an independent validation cohort. Reverse MR and Steiger filtering indicated no evidence of reverse causality. DUSP6- and CSTA-classical monocytes may interact with other cell subgroups through the MIF-(CD74 + CD44) signaling pathway. This study revealed the heterogeneity of monocyte subgroups in OA and aging patients, identifying key marker genes with a causal relationship to OA through an integrated multi-omics approach, providing potential molecular targets for the diagnosis and treatment of OA from an aging perspective. Show less
📄 PDF DOI: 10.1007/s12033-025-01416-6
DUSP6
Lu Sui, Zihang Jin, Yilin Meng +3 more · 2026 · Current topics in medicinal chemistry · Bentham Science · added 2026-04-24
Chronic Kidney Disease (CKD) has emerged as a significant global public health concern, with membranous Nephropathy (MN) being the most prevalent pathological type of nephrotic syndrome in adults. MN Show more
Chronic Kidney Disease (CKD) has emerged as a significant global public health concern, with membranous Nephropathy (MN) being the most prevalent pathological type of nephrotic syndrome in adults. MN is classified as an antibody-mediated autoimmune disease. There is a growing interest in the research of MN-related antigens. Furthermore, the treatment of MN predominantly relies on the administration of immunosuppressants, with traditional regimens such as corticosteroids and cyclophosphamide, which have significant side effects, and rituximab, having a 35-40% failure rate, highlighting the critical need for the development of specific and effective immunotherapy strategies. In this review, we summarized the research progress on newly discovered MN-related antigens, including exostosin 1/exostosin 2(EXT1/EXT2), Neural Cell Adhesion Molecule 1 (NCAM-1), Neural Epidermal Growth Factor-like 1 (NELL-1), Contactin 1 (CNTN1), Semaphorin 3B, High-Temperature Recombinant Protein A1 (HTRA1), protocadherin FAT atypical cadherin 1(FAT1) and Protocadherin 7(PCDH7). Among them, NELL-1 and HTRA1 primarily serve as target antigens for primary MN, and their serum antibody titers show a strong correlation with disease activity. While EXT1/EXT2, NCAM1, CNTN-1, and FAT1 mainly act as target antigens for secondary MN. In addition, we evaluated the clinical applications and efficacy of novel immunosuppressants and therapeutic approaches, including new anti-CD20 antibodies, proteasome inhibitors, anti-plasma cell therapies, belimumab, complement inhibitors, and immunoadsorption. The new anti-CD20 agents represented by obalimumab and obinutuzumab, along with anti-plasma cell therapies such as daratumumab, have emerged as ideal alternatives for patients with rituximab resistance. Other therapeutic approaches, including complement inhibitors, immunoadsorption, and belimumab, have also exhibited their unique advantages. Show less
no PDF DOI: 10.2174/0115680266410507260224062006
EXT1
Ping Guo, Wenli Li, Shasha Chen +5 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Long-term antigen-specific data in PMN among Chinese populations remain limited. This study evaluated six target antigens and their clinical significance during extended follow-up. We retrospectively Show more
Long-term antigen-specific data in PMN among Chinese populations remain limited. This study evaluated six target antigens and their clinical significance during extended follow-up. We retrospectively analyzed 132 treatment-naïve PMN patients diagnosed by biopsy (2010-2018) and followed for a median of 62.9 months. Renal tissue expression of PLA2R, THSD7A, NELL-1, PCDH7, EXT1, and EXT2 was assessed by immunohistochemistry, and serum anti-PLA2R antibodies were measured by ELISA. Associations between antigen profiles and 5-year outcomes (remission, renal survival, malignancy) were evaluated. PLA2R was the predominant antigen (84.1%), followed by THSD7A (5.3%) and NELL-1 (0.76%); no PCDH7, EXT1, or EXT2 positivity was detected. PLA2R-negative patients were more often female (71.4% vs. 36.0%, This >5-year Chinese PMN cohort provides the first comprehensive analysis of six target antigens. PLA2R remains predominant, while PLA2R-negative patients distinct immunopathologic features yet favorable long-term outcomes. A population-specific anti-PLA2R cutoff showed good diagnostic performance for predicting tissue antigen deposition. Rare antigens were infrequent and their malignancy associations require cautious interpretation. These findings provide long-term antigen-specific data supporting antigen-guided, population-adapted precision management of PMN. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1761515
EXT1
Yi-Chun Chiang, Chih-Yang Wang, Neethu Palekkode +22 more · 2026 · Journal of Cancer · added 2026-04-24
Exostosin glycosyltransferase 1 (
📄 PDF DOI: 10.7150/jca.123965
EXT1
Zheping Chen, Qianqian Wu, Jiahui Ma +9 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Perioperative neurocognitive disorder (PND) is one of the most prevalent neurological complications in elderly surgical patients. Dysregulated lipid metabolism is a hallmark of aging and is strongly a Show more
Perioperative neurocognitive disorder (PND) is one of the most prevalent neurological complications in elderly surgical patients. Dysregulated lipid metabolism is a hallmark of aging and is strongly associated with cognitive dysfunction. This study aimed to investigate whether ω-6 polyunsaturated fatty acid (PUFA) metabolism contribute to PND and examined whether fatty acid desaturase 1 (FADS1) represents a key regulatory link between fatty acid metabolism and PND in aged mice. An anesthesia/surgery-induced cognitive dysfunction model was established Anesthesia/surgery significantly upregulated hippocampal FADS1 expression (1.91-fold [0.37] vs. 1.00-fold [0.43]; These findings highlight anesthesia/surgery could disrupt ω-6 PUFA metabolism, notably activating the PGD The online version contains supplementary material available at 10.1186/s12974-025-03678-y. Show less
📄 PDF DOI: 10.1186/s12974-025-03678-y
FADS1
Junyi Wu, Xianshi Wang, Shiyi Zheng +4 more · 2026 · Molecular neurobiology · Springer · added 2026-04-24
Brain aging is characterized by memory loss and cognitive impairment. With the growth of the population and advances in medical care, the size of the aging population is increasing. Therefore, the dis Show more
Brain aging is characterized by memory loss and cognitive impairment. With the growth of the population and advances in medical care, the size of the aging population is increasing. Therefore, the discovery of anti-aging drugs has become a popular topic in recent years. Fibroblast growth factor 21 (FGF21) has been reported to inhibit oxidative stress, reduce inflammation, and delay senescence. The present study was designed to investigate the effects of recombinant human FGF21 (rhFGF21) on senescence in the brain in a mouse model of D-galactose (D-gal)-induced aging. The behavioral tests revealed that rhFGF21 improved D-gal-induced learning and memory impairment in mice. RhFGF21 improved the morphology of cortical and hippocampal neurons and increased the expression of PSD95 in the model mice. RhFGF21 reduced the number of microglia and astrocytes in the cortex and hippocampus, increased the activities of the antioxidant enzymes (GSH-PX, CAT, and SOD), and inhibited the expression of p-NFκB and p53 proteins, as well as the mRNA expression of the inflammatory cytokines (IL-1β, IL-6, TNFα, and iNOS). SIRT1 regulates senescence and inflammation, and FGF21 participates in physiological and pathological processes by binding to the FGFR1. Therefore, we measured SIRT1 and activated FGFR1 (p-FGFR1) levels. RhFGF21 administration increased the expression of cortical and hippocampal SIRT1 and p-FGFR1 in D-gal-induced aging mice. These data suggested that rhFGF21 alleviated learning and memory impairment in a mouse model of D-gal-induced aging by increasing antioxidant enzyme activity, inhibiting inflammation, and senescence-related gene expression via modulating FGFR1 and SIRT1. Show less
📄 PDF DOI: 10.1007/s12035-026-05869-x
FGFR1
Zhe Zhang, Yili Xiong, Mingyang Li +9 more · 2026 · International journal of biological sciences · added 2026-04-24
High mobility group AT-hook 1 (HMGA1) is a chromatin regulator overexpressed in various cancers, often predicting poor outcomes. However, its role in head and neck squamous cell carcinoma (HNSCC) rema Show more
High mobility group AT-hook 1 (HMGA1) is a chromatin regulator overexpressed in various cancers, often predicting poor outcomes. However, its role in head and neck squamous cell carcinoma (HNSCC) remains unclear. A hallmark of HNSCC is the rapid growth of its vasculature. Here, we identify an epigenetic mechanism whereby HMGA1 promotes tumor progression and angiogenesis via upregulation of fibroblast growth factor-binding protein 1 (FGFBP1). Show less
📄 PDF DOI: 10.7150/ijbs.109079
FGFR1

2

Pinglian Wu, Zhaodi Tian, Weizhong Shen +9 more · 2026 · Journal of enzyme inhibition and medicinal chemistry · Taylor & Francis · added 2026-04-24
Although FGFR2 is a well-validated oncogenic target, no selective FGFR2 inhibitors have been approved for clinical use. In this study, we report the discovery of 2
📄 PDF DOI: 10.1080/14756366.2026.2647526
FGFR1
Yinghao Wu · 2026 · bioRxiv : the preprint server for biology · added 2026-04-24
Intercellular communication is governed by the spatiotemporal dynamics of protein complexes at the cell-cell interface. However, conventional static interaction models fail to incorporate key physical Show more
Intercellular communication is governed by the spatiotemporal dynamics of protein complexes at the cell-cell interface. However, conventional static interaction models fail to incorporate key physical constraints, such as steric hindrance, spatial compartmentalization, and dimensionality reduction that regulate complex assembly in vivo. To bridge the gap between static network topology and dynamic systems biology, we developed a multi-scale computational framework. We first identified a highly conserved, Fibroblast Growth Factor Receptor 1 (FGFR1)-centered cell adhesion and signaling motif by analyzing a diverse set of human cell-cell interfaces. We then constructed a multi-layer spatial stochastic simulator to recapitulate and interrogate the dynamic behavior of this network motif at cell-cell interfaces. Atomic-resolution structural models of the protein complexes within the motif were further generated using AlphaFold to define interaction rules for the stochastic simulations by categorizing binding interfaces. Our results show that the structural arrangement of cell-cell adhesion complexes controls how FGFR1 receptors cluster at the cell-cell interface, effectively dividing the membrane into distinct functional microdomains. Competition from decoy receptors further regulates this process by capturing receptors before they can participate in signaling. Even small changes in binding affinity can therefore alter receptor organization and disrupt normal signal transduction, which may contribute to human disease. By integrating macro-scale interactomics, atomic-level structural bioinformatics, and mesoscale stochastic modeling, this study reveals how structural interaction rules, combined with spatial constraints, shape the formation and function of intercellular signaling networks. Show less
📄 PDF DOI: 10.64898/2026.03.16.712104
FGFR1
Yufeng Chen, Shaoxiong Jiang, Qingchan Xu +6 more · 2026 · Sheng wu gong cheng xue bao = Chinese journal of biotechnology · added 2026-04-24
Currently, organoids emerges as novel
no PDF DOI: 10.13345/j.cjb.250807
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
Tao Wu, Tao Wei, Junwei Zhu +6 more · 2026 · Molecular diversity · Springer · added 2026-04-24
📄 PDF DOI: 10.1007/s11030-026-11494-6
FGFR1
Wenjie Lu, Minghao Jiang, Junyu Zhuang +8 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Myelin debris accumulation after spinal cord injury (SCI) drives persistent neuroinflammation, lysosomal dysfunction, and lipid overload in macrophages, ultimately impairing tissue repair. Here, we id Show more
Myelin debris accumulation after spinal cord injury (SCI) drives persistent neuroinflammation, lysosomal dysfunction, and lipid overload in macrophages, ultimately impairing tissue repair. Here, we identify fibroblast growth factor 4 (FGF4) as a previously unrecognized regulator of macrophage-mediated myelin debris clearance. Endogenous FGF4 transiently increased in the early phase of SCI but rapidly declined. Using in vitro models, we demonstrate that exogenous FGF4 markedly enhances myelin debris phagocytosis through activation of the FGFR1-PI3K/AKT signaling pathway, leading to upregulation of Clec10a, a C-type lectin receptor not previously linked to myelin debris processing. Silencing Clec10a significantly mitigated the phagocytic and neuroprotective benefits of FGF4, supporting Clec10a as an important mediator of this response. D-GalNAc competitive inhibition assays showed that Clec10a does not rely on the conserved carbohydrate-recognition domain to bind to myelin debris. FGF4 enhanced the maturation and degradative efficiency of the endolysosomal system, driving internalized myelin debris through Rab5 The online version contains supplementary material available at 10.1186/s12974-026-03743-0. Show less
📄 PDF DOI: 10.1186/s12974-026-03743-0
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
Anika Nusrat, Luqi Zhao, Lianjie Miao +7 more · 2026 · Circulation. Heart failure · added 2026-04-24
Left ventricular noncompaction cardiomyopathy (LVNC; OMIM No. 604169) is anatomically characterized by excess trabeculation and deep intertrabecular recesses. It is the third most prevalent pediatric Show more
Left ventricular noncompaction cardiomyopathy (LVNC; OMIM No. 604169) is anatomically characterized by excess trabeculation and deep intertrabecular recesses. It is the third most prevalent pediatric cardiomyopathy. Despite its clinical significance, the pathogenesis of LVNC remains uncertain. We examined Numb expression in epicardial cells (EpiCs) and epicardial-derived cells (EPDCs) using a mCherry::Numb knock-in mouse line; used Numb is enriched in EpiCs and EPDCs. In EDKO hearts, EPDCs displayed abnormal differentiation, and their migration was arrested at the outer compact zone, resulting in the absence of EPDCs in the inner compact zone and trabeculae. The EDKO hearts displayed LVNC, and inducible EpiC-specific Ablation of NFPs (Numb family proteins) in EpiCs disrupted the invasion and differentiation of EPDCs and the communication between cardiomyocytes and other cells, and caused LVNC. The epithelial-mesenchymal transition and compaction defects can be partially rescued by exogenous Fgf2 supplementation. Our findings highlight an essential role for the epicardial NFPs-Fgf/Fgfr axis in regulating ventricular compaction. Show less
📄 PDF DOI: 10.1161/CIRCHEARTFAILURE.125.013210
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
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
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
Chunlong Wang, Yulong Hu, Junfei Chen +1 more · 2026 · Frontiers in physiology · Frontiers · added 2026-04-24
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HF Show more
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HFD, n = 30). After 8 weeks of HFD feeding, 24 obese rats were further randomised into three subgroups: HFD (H, n = 8), HFD + moderate-intensity training (HMT, n = 8), and HFD + HIIT (HHT, n = 8). The HMT and HHT groups underwent 8 week training interventions (six sessions/week). The HMT protocol included a 10 min warm-up (treadmill speed: 10 m/min), a 40 min moderate-intensity aerobic phase (60%-70% of maximum speed), and a 10 min recovery (10 m/min). The HHT protocol featured 10 min warm-up and recovery phases (10 m/min), with 40 min of alternating treadmill training: 3 min at 50% maximum speed followed by 3 min at 90% maximum speed. No significant differences in body weight were observed between the HHT and HMT groups. HHT rats displayed significantly lower plasma triglyceride levels than H and HMT rats. Compared with HMT, HHT reduced adipose mass and adipocyte size and increased mitochondrial succinate dehydrogenase and cytochrome c oxidase (COX) activities in adipose tissue. However, HHT rats displayed lower COX activity in visceral white adipose tissue than HMT rats. Training upregulated browning-related genes and uncoupling protein 1 (UCP1) in adipose tissue, with stronger effects in HHT than in HMT. Plasma and adipose tissue IL-27 levels, as well as p38 MAPK-PGC-1α signalling pathway activation, were significantly elevated in both training groups, with greater increases in HHT. HIIT promotes adipose tissue browning by activating the IL-27 signalling pathway and ameliorates obesity-associated metabolic disorders more effectively than MAIT, supporting its potential as a therapeutic strategy for obesity. Show less
📄 PDF DOI: 10.3389/fphys.2026.1745363
IL27
Yixuan Du, Lingxi Wu, Yang Mao +2 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Microglia-mediated neuroinflammation, considered one of the most plausible pathogenic hypotheses underlying Alzheimer’s disease (AD), plays a pivotal role in the initiation and progression of this dev Show more
Microglia-mediated neuroinflammation, considered one of the most plausible pathogenic hypotheses underlying Alzheimer’s disease (AD), plays a pivotal role in the initiation and progression of this devastating condition. Recently, glucagon-like peptide-1 receptor agonists (GLP-1RAs) have demonstrated promising neuroprotective effects in both preclinical and clinical studies. Previously, we developed an orally-administered GLP-1RA peptide called OHP2, which is capable of crossing the blood-brain barrier for the treatment of AD. OHP2 has been shown to effectively reduce brain inflammation in AD mouse models. In this study, we discovered that OHP2 treatment induced IL-27 secretion from astrocytes and modulated microglial reprogramming from the neurotoxic M1 phenotype to the neuroprotective M2 phenotype through glycolysis/cGAS lactylation clock/mTOR pathway, thereby alleviating excessive neuroinflammation. These findings provide a rationale for further pharmacological investigations into OHP2 and suggest that IL-27 may hold significant implications for AD therapy as a metabolic regulator. [Image: see text] The online version contains supplementary material available at 10.1186/s12974-025-03683-1. Show less
📄 PDF DOI: 10.1186/s12974-025-03683-1
IL27
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
Li-Bing Liang, Kun-Peng Li, Cai-Qin Wu · 2026 · European journal of preventive cardiology · Oxford University Press · added 2026-04-24
no PDF DOI: 10.1093/eurjpc/zwag181
LPA