👤 Riping 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, D P Wu, Zhongwei Wu, Zixiang Wu, Haiping Wu, Geyan Wu, Qi-Zhu Wu, Jianjin Wu, Shwu-Yuan Wu, Su 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, Yandi Wu, Zhong Wu, Hong 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, Cheng-Hua Wu, Kun Wu, Zhaoyang Wu, Shaofei Wu, Qihan Wu, R Ryanne Wu, Kunling Wu, Hao Wu, Mingxuan Wu, Pei Wu, Wendy Wu, Yukang Wu, Jingtao Wu, Douglas C Wu, Guizhen Wu, Zhangjie Wu, Lili Wu, Jianwu Wu, Min-Jiao Wu, Biaoliang Wu, Huan Wu, Shengxi Wu, Fei-Fei Wu, Peih-Shan Wu, Guoqing Wu, Yu-Yuan Wu, Pei-Yu Wu, Jing Wu, Geting Wu, Lun-Gang 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, Qunzheng Wu, Xudong Wu, Liqiang Wu, Cuiling Wu, Kunfang Wu, Limeng Wu, Jason Wu, Bian 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, Fanchang Wu, Gen Wu, Xiaorong Wu, Mei Wu, Jiahao Wu, Mingjie Wu, Jiapei Wu, Jia Wu, Lingqian Wu, Fangge Wu, Sen-Chao Wu, Yanhui Wu, Zhiqiang Wu, Shugeng Wu, Sarah Wu, Xuanqin Wu, Dongmei Wu, Caiwen Wu, Jiangdong Wu, Junjing 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, Yixuan Wu, Qinglin Wu, Leilei Wu, Bin Wu, Tianqi Wu, Shiya Wu, Hui-Chen 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, Ran Wu, Panyun Wu, Kui Wu, Yumei Wu, Biwei Wu, Yueling Wu, Xinrui Wu, Xing Wu, Hua Wu, Jiayi 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, Yaqin Wu, Qiu Wu, Huazhen Wu, Shengru Wu, Chieh-Lin Stanley Wu, Xiaoqian Wu, Xiahui Wu, Yun-Wen Wu, Jian-Yi Wu, Jianli Wu, Qiuya Wu, Tsai-Kun Wu, Xinyin Wu, Guoyao Wu, Zhenfeng Wu, Guoli Wu, Bill X Wu, J W Wu, Zujun Wu, Jianliang Wu, Yuanshun Wu, Ling-Ying Wu, Zeng-An Wu, Jianrong Wu, Xue Wu, Ke Wu, Mengxue Wu, Cheng-Yang Wu, Jinghong Wu, Rongrong Wu, Ruolan Wu, Rong Wu, Kevin Zl Wu, Run Wu, Xiaohong Wu, Zaihao Wu, Chaowei Wu, Yu-Ke Wu, Xinjing Wu, Anyue Wu, Xuan Wu, Shu Wu, Wanxia Wu, Yun Wu, Meili 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, Yujuan Wu, Jiawei Wu, Haoze Wu, Renlv Wu, Xiaoyang Wu, Yipeng Wu, Yuh-Lin Wu, Yu'e Wu, Dan-Chun Wu, An-Hua Wu, Meng-Chao Wu, Yuanhao Wu, Jer-Yuarn Wu, Qian-Yan Wu, Guangyan Wu, Huisheng Wu, Shuting Wu, Huijuan Wu, Long-Jun Wu, Alice Ying-Jung Wu, Xiru Wu, Zhenfang Wu, Lidi Wu, Yetong Wu, Disheng Wu, Huiwen Wu, Linmei 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, Lingyan Wu, Yih-Jer Wu, Xiaokang 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, Shuai Wu, Zhipeng 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, Dengying Wu, Anke 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, Jianzhi Wu, Nana Wu, Lin-Han Wu, Zhen Wu, Jinjun Wu, Chen-Lu Wu, Haiyan Wu, Jing-Fang Wu, Yihui Wu, Qiqing Wu, Zhengzhi Wu, Dai-Chao Wu, Zhenyan Wu, Wen-Jeng Wu, Sean M Wu, Guanming Wu, Yongqun 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, Cheng-Chun Wu, Tracy Wu, Shusheng Wu, Ting-Ting Wu, D Wu, Xiao-Yan Wu, Lan Wu, J 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, Qiuchen Wu, Xiao-Hui 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, Linxiang Wu, Xueqing Wu, Bo Wu, Moxin Wu, Xiao-Cheng Wu, Anzhou Wu, Shuyi Wu, Jiahui Wu, Meiqin Wu, Shihao Wu, Jer-Yuan Wu, Wen-Shu Wu, Wudelehu Wu, Ruonan Wu, Song Wu, Yulin Wu, De-Fu Wu, Yurong Wu, Hongyu Wu, Zixuan Wu, Shih-Ying Wu, Chih-Hsing Wu, Chengrong Wu, Yinghao Wu, Yuanzhao Wu, Wenjie Wu, Baochuan 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, Shixin Wu, Ting-Feng Wu, Yawei Wu, Hong-Mei Wu, Xiaojin Wu, Yiqun Wu, Tsung-Teh Wu, Jiarui Wu, Qi-Nian Wu, Ju Wu, Kai-Yue Wu, Pengjie Wu, Xi-Chen Wu, Zhe Wu, Shaoping Wu, Zhou Wu, Han-Jie Wu, Haijiang Wu, Weijie Wu, Xiaojie Wu, Hongfei Wu, Zhentian Wu, Yi-Ying Wu, Ze Wu, Kai-Hong Wu, Yuting Wu, Minyao Wu, Xueyan Wu, Feifei Wu, Shinan Wu, Yonghui Wu, Haoxuan Wu, Yanzhi Wu, Yiyi Wu, Guohao Wu, Dong Wu, Wenjing Wu, Shibo Wu, Wenqian Wu, Tian Wu, Hai-Yan Wu, Tiantian Wu, Chong Wu, Hongxian Wu, Daoyuan Wu, Zongfu Wu, Ling Wu, Yuxiang Wu, Xilong Wu, Yuyu Wu, Zong-Jia Wu, Fengming Wu, Huijian Wu, Guorong Wu, Chuanhong Wu, Choufei Wu, Junfang Wu, Chi-Chung Wu, Xingwei Wu, Xiaoqing Wu, Ling-Fei 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, Junfeng Wu, Shunan Wu, Yunhua 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, Xiushan Wu, Haihu Wu, Xueyao Wu, Tingchun Wu, Yafei Wu, Lingxi Wu, R-J Wu, Weidong Wu, Re-Wen Wu, Zhidan Wu, Peiyao Wu, Xuemei Wu, Yiting Wu, Chen Wu, Kerui Wu, Lihong Wu, Shiqi Wu, Liren Wu, Xiuhua Wu, Beili Wu, Ruihong Wu, Yongqi Wu, Huini Wu, Lingyun Wu, Guang-Long Wu, Po-Chang Wu, Qinghua Wu, Wenxue Wu, Ru-Zi Wu, Changjing Wu, Wenlin Wu, Xiexing Wu, J Y Wu, Jianping Wu, Guanggeng Wu, Zhichong Wu, W J Wu, Shaoyu Wu, Di Wu, Xiaotong Wu, Junyong Wu, Hui Wu, Shengde Wu, Hongyan 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, S F Wu, Mengying 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, JieQian Wu, Zhengliang L Wu, Qianqian Wu, Jingyun Wu, Xiaoman Wu, Ruohao Wu, Yiyang Wu, Zhengfeng Wu, Xiao-Jun Wu, Lizi Wu, Qiang Wu, J-Z Wu, Guangjie Wu, Pengfei Wu, Jundong Wu, Beier Wu, Meng-Ling Wu, Jianying Wu, Lingxiang Wu, Jamie L Y Wu, Xilin Wu, Keija 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, Guanxian Wu, Dong-Fang Wu, Sensen Wu, Guifen 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, Yu Wu, Yumin Wu, Xia Wu, William Ka Kei Wu, Xian-Run 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, Tao Wu, Dong-Bo 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, Fang-Tzu Wu, Haoan Wu, Wenwen Wu, Zhongjun Wu, Xi Wu, Teng Wu, Xiaoling Wu, Mengjuan Wu, Wen Wu, Yifan Wu, Yang Wu, Qianhu Wu, Shenyue Wu, Wu-Tian Wu, Qianwen Wu, Ye Wu, Lixing Wu, Gui-Qin Wu, Grace F Wu, Xing-Ping Wu, Ming Wu, Lisha Wu, Yanchuan Wu, Yuming Wu, Siqi Wu, Yuan Wu, I H Wu, Yu-Ting Wu, Minghua Wu, Hailong Wu, Zhenlong Wu, B Wu, Fang Wu, Guanzhong Wu, Liqun Wu, Guifu Wu, Chris Y Wu, Zhikang Wu, Qi-Yong Wu, Qingshi Wu, Zhao-Yang Wu, Chih-Ching Wu, Man-Jing 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, Yi-Long Wu, Yue Wu, Ge-ru Wu, Jinqiao Wu, Jing-Wen Wu, Zhongyang Wu, Lifang Wu, Jia-Wei Wu, Sheng-Li Wu, Songfen 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, Ying-Ting Wu, Xing-De Wu, Mingfu Wu, Yucan Wu, Na-Qiong Wu, Linzhi Wu, Jinze Wu, Xuhan Wu, H J Wu, Ruize Wu, Dirong 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, Shuihua Wu, Ren Wu, S Wu, Haoming Wu, Yupeng Wu, Samuel M Wu, Fan Wu, Yuesheng Wu, Yihe Wu, Tiange Wu, Shuang Wu, Jiayu Wu, Chia-Lung Wu, Shengnan Wu, Yaojiong Wu, Y Wu, Y Y Wu, Zhuoze Wu, Zimu Wu, Depei Wu, Yi-Hua Wu, Yanyan Wu, Haiyun Wu, Min Wu, Wenjuan Wu, Jinfeng Wu, Guangxi 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, Guanyi Wu, Xin-Xi Wu, Qiuxia Wu, Danhong Wu, He Wu, Siyi Wu, Zhong-Jun Wu, Xiangsheng Wu, Liting Wu, Lanxiang Wu, Kaili Wu, Zheng Wu, Ping-Hsun 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, Anguo Wu, Yuguang Philip 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, Yingning Wu, S-F Wu, David Wu, Jin-Shang Wu, Mei-Na Wu, Joshua L 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, Jiaqi Wu, Runpei Wu, Chien-Ting Wu, Li-Na Wu, Qinfeng Wu, Chia-Chang Wu, Yueming Wu, Renhai Wu, Siyu Wu, Baojian Wu, Yi-Xia Wu, Renrong Wu, Wei-Yin Wu, C-H 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, Yanchun Wu, An-Dong 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, Qitian Wu, Qin Wu, Xiaofu Wu, Jiamei Wu, Xiaoyong Wu, Qiong Wu, Xiaoying Wu, Wujun Wu, N Wu, Peiyi 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, Peng Wu, Haibin Wu, Ding Lan Wu, Lecheng Wu, Yingzhi Wu, Kejia Wu, Junshu Wu, Anyi Wu, Jianxin Wu, Deguang Wu, Jiaxuan Wu, W Wu, Justin C Y Wu, Jiong Wu, Yu-Chih Wu, Qinglan Wu, Xinyi Wu, Diana Wu, Zhongluan Wu, Xuefen Wu, Yanqiong Wu, Shengming Wu, Jian-Lin Wu, Daren Wu, Donglin Wu, Lintao Wu, Xiaodong Wu, Chang-Jiun Wu, Chunshuai Wu, Irene X Y Wu, Yaping Wu, Xiping Wu, Yangna Wu, Chia-Chen Wu, Zongheng Wu, Wenyi Wu, Yansheng Wu, Aimin Wu, Shaojun Wu, Caisheng Wu, Zhongchan Wu, Xu Wu, Yaohua Wu, Fei 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, Zhuzhu Wu, Yuanbing Wu, Zhong-Yan 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, Jemma X Wu, Wenqi Wu, Quanhui Wu, Qing-Wu Wu, Yanxiang Wu, Jiajin Wu, Qiao Wu, Yuan Kai Wu
articles
Xin Lei, Tao Lang, Shan Gao +2 more · 2026 · Clinical genetics · Blackwell Publishing · added 2026-04-24
The mechanisms by which the autosomal dominant disorder tuberous sclerosis complex (TSC) results in liver fibrosis remain poorly understood. KDM6A, a histone demethylase, has been implicated in the pa Show more
The mechanisms by which the autosomal dominant disorder tuberous sclerosis complex (TSC) results in liver fibrosis remain poorly understood. KDM6A, a histone demethylase, has been implicated in the pathogenesis of fibrosis in multiple tissues. This study aimed to elucidate the molecular mechanism by which KDM6A contributed to TSC-associated fibrosis. We observed fibrogenesis, epithelial-mesenchymal transition (EMT) induction and upregulation of Kdm6a in vivo and in vitro upon Tsc1 or Tsc2 deficiency. Knockdown of Kdm6a attenuated both fibrosis and EMT phenotypes. Mechanistically, Kdm6a depletion reduced phosphorylation of ERK1/2 and downregulated Snai1 expression. Activation of the MAPK/ERK pathway with PMA restored EMT-related protein expression, confirming the functional involvement of this signaling axis. Furthermore, Tsc1 or Tsc2 deficiency promoted Kdm6a expression via the mTORC1 pathway, while Kdm6a knockdown conversely suppressed mTORC1 activity by reducing mTOR protein expression, suggesting a positive feedback loop between Kdm6a expression and mTORC1. These findings indicate that Kdm6a promotes fibrosis in TSC through the activation of the MAPK/ERK/SNAI1 signaling pathway. Moreover, the combination of mTORC1 and KDM6A inhibitors results in marked regression of fibrosis and liver lesions in TSC models, unveiling a potential treatment for TSC patients with inadequate response to mTORC1 inhibitors. Show less
no PDF DOI: 10.1111/cge.70136
SNAI1
Wenke Wang, Wenjie Wu, Mingjun Hao +5 more · 2026 · Cell death & disease · Nature · added 2026-04-24
Granulosa cell (GC) apoptosis is intrinsically linked to the ovarian dysfunction of polycystic ovary syndrome (PCOS). Although oxidative stress and apoptosis in GCs have been detected in PCOS patients Show more
Granulosa cell (GC) apoptosis is intrinsically linked to the ovarian dysfunction of polycystic ovary syndrome (PCOS). Although oxidative stress and apoptosis in GCs have been detected in PCOS patients, how reactive oxygen species (ROS) links to GC apoptosis in PCOS remains to be further elucidated. Here, by integrating public single-cell RNA-seq data with clinical GC sample validation, we found that the expression of the E3 ubiquitin ligase WWP2 was significantly reduced, whereas its role in PCOS has not been previously reported. Notably, we first demonstrated that WWP2 overexpression can effectively antagonize mitochondrial apoptosis and ROS in KGNs. Mechanistically, oxidative stress weakened the interaction between WWP2 and BAK and reduced WWP2 expression, thereby suppressing BAK ubiquitination at Lys113. This inhibition impaired proteasomal degradation and consequently increased BAK protein levels. Consistently, disrupting BAK ubiquitination (BAK-K113R mutant) or knocking down WWP2 facilitated KGN apoptosis, and genetic ablation of Wwp2 in PCOS mice further aggravated GC apoptosis and hormonal disturbances. This study elucidates the molecular mechanism by which oxidative stress modulates GC mitochondrial apoptosis through WWP2-mediated BAK ubiquitination, and establishes WWP2 as a potential therapeutic target for PCOS. Show less
no PDF DOI: 10.1038/s41419-026-08500-y
WWP2
Mengqiu Wu, Mengqiu Miao, Yuting Li +12 more · 2026 · Molecular therapy : the journal of the American Society of Gene Therapy · Elsevier · added 2026-04-24
Defects in mitochondrial energy metabolism in injured tubular epithelial cells (TECs) are a well-recognized hallmark of kidney injury pathogenesis; however, the key target leading to this defect durin Show more
Defects in mitochondrial energy metabolism in injured tubular epithelial cells (TECs) are a well-recognized hallmark of kidney injury pathogenesis; however, the key target leading to this defect during the acute kidney injury (AKI)-to-chronic kidney disease (CKD) transition remains elusive. Here, we found that during the AKI-to-CKD transition, the increased WW domain containing E3 ubiquitin protein ligase 2 (WWP2) was shuttled to the mitochondria and disabled TEC mitochondrial energy metabolism by ubiquitinating and degrading complex II subunit succinate dehydrogenase complex subunit C (SDHC), leading to oxidative phosphorylation (OXPHOS) disability and aggravated TEC maladaptive repair. Preemptive and late depletion of Wwp2 both ameliorated unilateral ischemia-reperfusion (UIR) injury-induced AKI-to-CKD transition, and tubular-specific Wwp2 depletion resulted in the same protective phenotype. Furthermore, Sdhc knockdown abolished the protective effects of Wwp2 deletion in UIR mice. Conversely, SDHC overexpression attenuated OXPHOS impairment and TEC injury following WWP2 overexpression. Finally, we leveraged high-throughput virtual screening, enzyme activity assays, and binding affinity assays to identify two candidate WWP2 inhibitors. Both inhibitors significantly improved TEC maladaptive repair and deferred the AKI-to-CKD transition. Overall, we identified WWP2 as a critical regulator of mitochondrial OXPHOS integrity in maladaptive repairing TECs and identified two WWP2 inhibitors as potential drug candidates for interrupting the AKI-to-CKD transition. Show less
no PDF DOI: 10.1016/j.ymthe.2025.11.022
WWP2
Junjie Peng, Yichao Ou, Mingfeng Zhou +11 more · 2025 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Hypothalamic obesity (HO) is a disabling disease caused by central nervous system (CNS) damage due to neurosurgery, trauma, or tumors, especially in hypothalamus. The pathological mechanism of its neu Show more
Hypothalamic obesity (HO) is a disabling disease caused by central nervous system (CNS) damage due to neurosurgery, trauma, or tumors, especially in hypothalamus. The pathological mechanism of its neural circuits is still unclear, and there is currently no corresponding drug due to the complex etiology. G protein-coupled receptors (GPCRs) regulate neural function in many CNS diseases. Among them, melanocortin 4 receptor (MC4R) regulate metabolism and appetite in the hypothalamus. Setmelanotide, an MC4R agonist, has demonstrated anti-obesity effects in genetic forms of obesity; however, its efficacy and mechanisms in HO remain unexplored. This study explored the potential of treating HO by setmelanotide-targeted activation of MC4R in the paraventricular nucleus (PVN). We established a rat hypothalamic injury model to replicate human HO symptoms, such as hyperphagia (50% increase in food intake), elevated Lee index, and more than 25% weight gain. Immunofluorescence and immunoblot analysis showed that HO disrupted the PVN neuropeptides, leading to the inhibition of MC4R via calmodulin-dependent protein kinase kinase 2 (CaMKK2) and AMP-activated protein kinase (AMPK) signaling. Crucially, administration of setmelanotide restored CaMKK2/AMPK activity, reactivated MC4R neurons, and normalized appetite and feeding behavior during fasting-refeeding and the long-term treatment of obese rats (60% reduction in food intake), ultimately reversing obesity (23% weight loss). These findings underscore the critical role of MC4R dysfunction in hypothalamic injury and highlight the strategies to pharmacologically activate MC4R via CaMKK2/AMPK signaling to restore metabolic homeostasis, proposing a translatable therapeutic agent to manage obesity caused by CNS injury. Show less
📄 PDF DOI: 10.3389/fphar.2025.1730786
MC4R
Shengyuan Wang, Zhongyang Wu, Zhe Zhong +2 more · 2025 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Tissue acidification is a common feature of hypoxia, inflammation and solid tumor. Acidic pH regulates innate immune response in macrophages by weakening BRD4-containing transcriptional condensates. Y Show more
Tissue acidification is a common feature of hypoxia, inflammation and solid tumor. Acidic pH regulates innate immune response in macrophages by weakening BRD4-containing transcriptional condensates. Yet how disruption of transcriptional condensates leads to gene-specific regulation of immune programs remain unclear. Here, we integrated ATAC-seq, ChIP-seq, and RNA-seq of primary murine macrophages and performed integrative epigenomics analyses to identify transcriptional regulators (TRs) with pH-sensitive regulatory potential and association to BRD4-dependent transcriptional condensates. We determined pH-dependent super-enhancers (SEs) by extended profiles of BRD4 binding and h3K27ac marks. We found RELA, IRF family, and STAT family as candidate TRs enriched at BRD4-associated, pH-sensitive SE regions. RELA and IRF3 preferentially occupied BRD4-associated and pH-sensitive SEs, and displayed markedly reduced binding under acidic conditions, aligning with BRD4 occupancy change. Correspondingly, immune-response genes within BRD4-associated, pH-sensitive SE regions, including Show less
📄 PDF DOI: 10.1101/2025.10.29.685293
ACP2
Qingkai Song, Jiamei Wu, Qingfeng Zhang +9 more · 2025 · Molecular therapy. Methods & clinical development · Elsevier · added 2026-04-24
Systemic delivery of adeno-associated virus serotype 9 (AAV9) to the central nervous system (CNS) is insufficient due to hindrance from the tight junctions of the blood-brain barrier (BBB). While pept Show more
Systemic delivery of adeno-associated virus serotype 9 (AAV9) to the central nervous system (CNS) is insufficient due to hindrance from the tight junctions of the blood-brain barrier (BBB). While peptide-display-based AAV engineering has advanced CNS-targeting capsid development, traditional strategies inserting or substituting a 7-mer peptide remain limited by low success rates and scarcity of efficient variants. To address these issues, we developed the Multiple Capsid Mutation Strategies (MCMS) library, which enhanced sequence diversity by incorporating random peptide insertions flanked by AAV9 or variant-derived residues and peptide substitutions within the VR-VIII of the AAV9 capsid protein. Following capsid selection in mice, the leading AAV variant BRC06 was identified and validated across different mouse strains. BRC06 exhibited approximately 1.9-fold higher brain transgene expression than AAV.PHP.eB in C57BL/6J mice. In BALB/c mice, BRC06 achieved a 1,482-fold brain enhancement with a 92-fold liver reduction relative to AAV9. Sequence analysis revealed that BRC06 was derived from the MCMS library's substitution strategies. Additionally, host factor screening revealed AAVR-dependent entry with accessory factors like Show less
📄 PDF DOI: 10.1016/j.omtm.2025.101522
ACP2
Chunqing Li, Longting Wu, Fang Hu +2 more · 2025 · Ecology and evolution · Wiley · added 2026-04-24
Understanding the adaptive evolution of brain function in extreme environments remains a central challenge in evolutionary biology. This study investigates the molecular mechanisms underlying cave ada Show more
Understanding the adaptive evolution of brain function in extreme environments remains a central challenge in evolutionary biology. This study investigates the molecular mechanisms underlying cave adaptation by comparing brain transcriptomes of sympatric cave-dwelling ( Show less
📄 PDF DOI: 10.1002/ece3.72652
ADCY3
Zhimin Wu, Shuo Yan, Huimin Zhang +6 more · 2025 · International journal of molecular sciences · MDPI · added 2026-04-24
Cadmium (Cd) contamination in plants and soil poses significant risks to livestock, particularly sheep. Cd exposure often leads to severe gastrointestinal diseases in sheep that are difficult to treat Show more
Cadmium (Cd) contamination in plants and soil poses significant risks to livestock, particularly sheep. Cd exposure often leads to severe gastrointestinal diseases in sheep that are difficult to treat. Milk-derived exosomes, particularly those from sheep milk (SM-Exo), have shown potential in treating gastrointestinal disorders, though their efficacy in Cd-induced colitis remains unclear. In this study, we investigated the therapeutic potential of SM-Exo in a Cd-induced colitis model. Hu sheep were exposed to Cd, and their fecal microbiota were collected to prepare bacterial solutions for fecal microbiota transplantation (FMT) in mice. The changes in gut microbiota and gene expression were analyzed through microbiome and transcriptomics. Our results showed that prior to treatment, harmful bacteria (e.g., Show less
📄 PDF DOI: 10.3390/ijms26073299
ADCY3
Jing Wang, Haiyan Gu, Xiaorong Hu +2 more · 2025 · Journal of medical biochemistry · added 2026-04-24
This study examined the regulatory effects of Acceptance and Commitment Therapy (ACT) on T lymphocyte subsets, serum inflammatory cytokines, neurotrophic factors, antioxidant enzymes, and lipid peroxi Show more
This study examined the regulatory effects of Acceptance and Commitment Therapy (ACT) on T lymphocyte subsets, serum inflammatory cytokines, neurotrophic factors, antioxidant enzymes, and lipid peroxidation products in elderly cerebral stroke (CS) patients, providing insights into the multi-dimensional pathophysiological interactions and potential intervention strategies for chronic stroke recovery. In this randomized controlled trial, 120 elderly stroke patients were allocated to either an ACT group (ACT intervention; n = 60) or a routine group (conventional treatment; n = 60). Comprehensive assessments were performed to quantify: (1) peripheral T lymphocyte distribution (CD3+, CD4+, CD8+ subsets, and CD4+/CD8+ ratio), (2) serum inflammatory cytokines (IL-1p, IL-6, IL-10, and TNF-a), (3) neurotrophic factors (5-HT, NE, BDNF, and IGF-1), and (4) antioxidant enzymes (SOD, CAT) and lipid peroxidation products (MDA, NO) using flow cytometry, HPLC-ECD, and ELISA. Statistical analyses were conducted with SPSS 22.0. Following treatment, CS patients exhibited reduced CD3+ and CD4+ T-cell levels along with a decreased CD4+/CD8+ ratio, while CD8+ T-cell proportions were elevated (P< 0.05). Proinflammatory cytokine levels (IL-1 b, IL-6, and TNF-a) were significantly suppressed, whereas anti-inflammatory IL-10 expression increased (P < 0 .0 5 ). Notably, ACT demonstrated superior efficacy in restoring immune balance and attenuating inflammation compared to conventional intervention (P< 0.05). Furthermore, neurotrophic factors levels were elevated, and oxidative stress markers were ameliorated in CS after treatment (P< 0.05), suggesting that ACT enhances neurotrophic activity and mitigates oxidative injury. ACT likely confers neuroprotection through multi-target mechanisms, including modulation of T-cell subset homeostasis, upregulation of neurotrophic factors, and suppression of oxidative stress. Show less
📄 PDF DOI: 10.5937/jomb0-58244
BDNF
Zhuzhu Wu, Xiaolin Wang, Zitong Guan +6 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Inflammatory bowel disease (IBD) is a chronic, immune-mediated intestinal disorder driven by dysregulated immune responses in genetically susceptible individuals. Despite recent advances in treatment, Show more
Inflammatory bowel disease (IBD) is a chronic, immune-mediated intestinal disorder driven by dysregulated immune responses in genetically susceptible individuals. Despite recent advances in treatment, more than 30% of patients either fail to respond initially or lose response over time, underscoring the need for a deeper mechanistic understanding of immunogenetic pathways and the development of individualized therapeutic strategies. We first discuss how newly identified susceptibility genes (e.g., IL23R, NOD2, BDNF, SLC) and their polymorphisms influence immune cell function and epithelial barrier integrity. Single-cell technologies have further revealed novel cell subsets and interactions underlying disease heterogeneity. We then explore the clinical efficacy of classical and emerging targeted therapies, including cytokine-specific biologics, JAK inhibitors, and novel strategies aimed at restoring regulatory T-cell function or blocking integrin-mediated lymphocyte trafficking. Additionally, we highlight promising therapeutic approaches such as fecal microbiota transplantation, microbial metabolite-based interventions, and nanotherapeutics. We further discuss how genetic insights and immune biomarkers can facilitate treatment personalization and improve prognostic stratification. Ultimately, this review emphasizes the transition from broad immunosuppression to precision medicine and proposes integrated approaches-combining multiomics profiling, immune monitoring, and novel therapeutics-to achieve sustained remission and improve long-term outcomes in IBD patients. Show less
📄 PDF DOI: 10.3389/fimmu.2025.1719366
BDNF
Xiaona Li, Mei Lu, Xinkun Wang +6 more · 2025 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Despite preclinical evidence for berberine's antidepressant potential, its pharmacological effects remain controversial.This study therefore systematically reviews animal research to clarify its mecha Show more
Despite preclinical evidence for berberine's antidepressant potential, its pharmacological effects remain controversial.This study therefore systematically reviews animal research to clarify its mechanisms and support future clinical trials. We searched PubMed, Embase, Web of Science, Cochrane Library, and OVID for studies on berberine in depression models up to March 20, 2025. Analysis used STATA 15.0 and Review Manager 5.4, with study quality assessed via SYRCLE's risk of bias tool. The meta-analysis included 18 studies (338animals). Overall, berberine significantly reduced depression-like behaviors in animal models.Specifically, BBR increased total locomotor activity in the open field test (SMD=2.79, 95% CI: 1.55, 4.02) and time spent in the center zone (SMD=2.49, 95% CI:1.61, 3.37), reduced immobility time in both the forced swim test and tail suspension test (SMD =-4.42, 95% CI:-5.77,-3.07; SMD=-4.46, 95% CI:-6.21, -2.71), increased sucrose intake in the sucrose preference test (SMD = 3.72, 95% CI: 2.37, 5.07), and reduced feeding latency in the novelty-suppressed feeding test (SMD=-5.72, 95% CI:-7.63, -3.82). However, BBR did not significantly alter the number of square crossings (SMD=1.36, 95%CI:-0.07 , 2.79) or rearing frequency (SMD=1.66, 95% CI: -0.29, 3.61) in the open field test. BBR also increased the levels of body weight, brain-derived neurotrophic factor, dopamine, serotonin, and norepinephrine,while reducing the levels of pro-inflammatory cytokines including TNF-α, IL-1β, and IL-6. Preclinical studies suggest that berberine may represent a promising therapeutic agent for the treatment of depressive disorders. Its antidepressant effects appear to be closely associated with the modulation of neurotransmitter levels,reduction of oxidative stress, and inhibition of inflammatory responses.However, methodological limitations may constrain these findings. Larger, more rigorous preclinical studies are needed for confirmation. https://inplasy.com/inplasy-2025-6-0002, identifier INPLASY202560002. Show less
📄 PDF DOI: 10.3389/fpsyt.2025.1653929
BDNF
Yingyi Wang, Haisu Wu, Ruijie Geng +4 more · 2025 · Alpha psychiatry · added 2026-04-24
To explore the molecular mechanisms underlying clozapine-induced metabolic syndrome (MetS) in schizophrenia patients, providing scientific evidence for clinicians to prevent and manage metabolic syndr Show more
To explore the molecular mechanisms underlying clozapine-induced metabolic syndrome (MetS) in schizophrenia patients, providing scientific evidence for clinicians to prevent and manage metabolic syndrome during the treatment of psychiatric disorders. Ten schizophrenia patients with MetS and ten matched controls were recruited from Shanghai Mental Health Center according to the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria for schizophrenia and the 2016 Chinese Adult Dyslipidemia Prevention and Treatment Guidelines for MetS. Peripheral blood RNA sequencing was performed to identify differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were used to pinpoint hub genes. Mendelian randomization (MR) was conducted to validate causal relationship between serum brain-derived neurotrophic factor (BDNF) levels and MetS components. A total of 1019 DEGs were identified, grouped into eight mRNA modules through WGCNA. Key hub genes included Significant differences in gene expression are observed between schizophrenia patients with and without MetS. Individual variability in clozapine-induced MetS may be linked to DEGs. Show less
📄 PDF DOI: 10.31083/AP49352
BDNF
Yuxuan Song, Wenjing Pan, Linlin Meng +7 more · 2025 · Foods (Basel, Switzerland) · MDPI · added 2026-04-24
Cognitive impairment is acknowledged as an early stage between normal aging and Alzheimer's disease, emphasizing the need for prompt intervention. There is growing evidence that the gut-brain axis pla Show more
Cognitive impairment is acknowledged as an early stage between normal aging and Alzheimer's disease, emphasizing the need for prompt intervention. There is growing evidence that the gut-brain axis plays a role in regulating cognitive function, indicating that probiotics and their derivatives may impact cognitive functions through the brain-gut axis. In this study, we isolated and identified a novel bacterial strain Show less
📄 PDF DOI: 10.3390/foods14234037
BDNF
Yu Liu, Yansong Li, Ding Ding +7 more · 2025 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Post-stroke cognitive impairment (PSCI) is a prevalent and disabling condition with limited effective treatment options. Repetitive transcranial magnetic stimulation (rTMS) has emerged as a potential Show more
Post-stroke cognitive impairment (PSCI) is a prevalent and disabling condition with limited effective treatment options. Repetitive transcranial magnetic stimulation (rTMS) has emerged as a potential non-invasive neuromodulation therapy. This review synthesizes recent advances in rTMS for PSCI, focusing on its mechanisms, therapeutic effects across cognitive domains, and safety profile. We summarize evidence indicating that rTMS exerts its effects by modulating cortical excitability, promoting neuroplasticity via BDNF signaling, and regulating dysfunctional brain networks, particularly the central executive and default mode networks. Clinical studies demonstrate that high-frequency stimulation, primarily targeting the dorsolateral prefrontal cortex (DLPFC), can significantly improve memory, executive function, attention, and activities of daily living (ADLs) in patients with PSCI. A favorable safety profile is reported, with mild and transient adverse effects being most common. However, significant heterogeneity in stimulation parameters (e.g., frequency, intensity, pulses) exists across studies. Current evidence suggests that ensuring a sufficient number of stimulation pulses and duration may be necessary. rTMS represents a promising therapeutic tool for PSCI, demonstrating benefits in key cognitive and functional domains. Future research must prioritize large-scale, standardized randomized controlled trials to optimize stimulation protocols, confirm long-term efficacy, and explore synergistic combinations with other rehabilitation strategies. Show less
📄 PDF DOI: 10.1002/cns.70702
BDNF
Xinyuan Qiu, Ruo-Ran Wang, Qing-Qian Wu +27 more · 2025 · The Journal of clinical investigation · added 2026-04-24
Impaired glucose-stimulated insulin secretion (GSIS) is a hallmark of β cell dysfunction in diabetes. Epigenetic mechanisms govern cellular glucose sensing and GSIS by β cells, but they remain incompl Show more
Impaired glucose-stimulated insulin secretion (GSIS) is a hallmark of β cell dysfunction in diabetes. Epigenetic mechanisms govern cellular glucose sensing and GSIS by β cells, but they remain incompletely defined. Here, we found that BAF60a functions as a chromatin regulator that sustains biphasic GSIS and preserves β cell function under metabolic stress conditions. BAF60a was downregulated in β cells from obese and diabetic mice, monkeys, and humans. β cell-specific inactivation of BAF60a in adult mice impaired GSIS, leading to hyperglycemia and glucose intolerance. Conversely, restoring BAF60a expression improved β cell function and systemic glucose homeostasis. Mechanistically, BAF60a physically interacted with Nkx6.1 to selectively modulate chromatin accessibility and transcriptional activity of target genes critical for GSIS coupling in islet β cells. A BAF60a V278M mutation associated with decreased β cell GSIS function was identified in human donors. Mice carrying this mutation, which disrupted the interaction between BAF60a and Nkx6.1, displayed β cell dysfunction and impaired glucose homeostasis. In addition, GLP-1R and GIPR expression was significantly reduced in BAF60a-deficient islets, attenuating the insulinotropic effect of GLP-1R agonists. Together, these findings support a role for BAF60a as a component of the epigenetic machinery that shapes the chromatin landscape in β cells critical for glucose sensing and insulin secretion. Show less
📄 PDF DOI: 10.1172/JCI177980
GIPR
Shu Wei Wong, Yong-Yu Yang, Hui Chen +4 more · 2025 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hep Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hepatic fibrosis, further progressing to cirrhosis and hepatocellular carcinoma (HCC). MASLD has become a prevalent disease with 25% in average over the world. MASH is an active stage, and requires pharmacological intervention when there is necroptotic damage with fibrotic progression. Although there is an increased understanding of MASH pathogenesis and newly approved resmetirom, given its complexity and heterogeneous pathophysiology, there is a strong necessity to develop more drug candidates with better therapeutic efficacy and well-tolerated safety profile. With an increased list of pharmaceutical candidates in the pipeline, it is anticipated to witness successful approval of more potential candidates in this fast-evolving field, thereby offering different categories of medications for selective patient populations. In this review, we update the advances in MASH pharmacotherapeutics that have completed phase II or III clinical trials with potential application in clinical practice during the latest 2 years, focusing on effectiveness and safety issues. The overview of fast-evolving status of pharmacotherapeutic candidates for MASH treatment confers deep insights into the key issues, such as molecular targets, endpoint selection and validation, clinical trial design and execution, interaction with drug administration authority, real-world data feedback and further adjustment in clinical application. Show less
no PDF DOI: 10.1038/s41401-024-01466-7
GIPR
Juan Du, Kaiyi Zhang, Jiakun Miao +6 more · 2025 · Life sciences · Elsevier · added 2026-04-24
This study aimed to explore the molecular pathological mechanisms of the liver in metabolic disease-susceptible transgenic pigs via multiomics analysis. The triple-transgenic (PNPLA3 The TG2 pigs pres Show more
This study aimed to explore the molecular pathological mechanisms of the liver in metabolic disease-susceptible transgenic pigs via multiomics analysis. The triple-transgenic (PNPLA3 The TG2 pigs presented mild metaflammation and insulin resistance (IR) which was similar to WT12 pigs. Compared with the other three groups, the TG12 pigs presented severe hepatocyte ballooning, fat deposition, and portal area fibrosis. The transcriptome data suggested that the TG2 pigs presented upregulated gene expression in the extracellular matrix (ECM). The TG12 pigs presented more severe metaflammation and exhibited imbalanced glycolipid metabolism. Interestingly, genes such as ETNPPL, GABBR2, and BMP8B might be key regulatory targets for liver injury. The metabolome and lipidome suggested that long-chain polyunsaturated fatty acids (LCPUFAs) and phospholipids with corresponding LCPUFAs were remodelled. Importantly, bis(monoacylglycerol) phosphates (BMPs) and sulfatides (SLs) could be the key regulatory metabolites in liver injury. ETNPPL, GABBR2, and BMP8B might be potential therapeutic targets for liver injury. BMPs and SLs might be biomarkers for the diagnosis and treatment of liver diseases. Show less
no PDF DOI: 10.1016/j.lfs.2024.123337
GIPR
Yanping Wang, Xiaoru Ma, Zhixin Qiao +16 more · 2025 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Astrocytes are key regulators of neuroinflammation in multiple sclerosis (MS). Electroacupuncture (EA), a safe and cost-effective adjuvant therapy, has shown benefits in neurodegenerative diseases, bu Show more
Astrocytes are key regulators of neuroinflammation in multiple sclerosis (MS). Electroacupuncture (EA), a safe and cost-effective adjuvant therapy, has shown benefits in neurodegenerative diseases, but its astrocyte-related mechanisms remain unclear. Here, we demonstrated that EA at ST36 alleviated blood-brain barrier (BBB) disruption and neuroinflammation during the peak period of experimental autoimmune encephalomyelitis (EAE). Additionally, EA at ST36 upregulated the expression of α-melanocyte-stimulating hormone (α-MSH) and its receptor melanocortin-4 receptor (MC4R) in spinal astrocytes. Pharmacological studies showed that MC4R agonist RO27-3225 mimicked the therapeutic effects of EA, whereas MC4R antagonist TCMCB07 weakened EA-mediated BBB protection and neuroinflammation suppression. Moreover, astrocyte-specific silencing of MC4R via adeno-associated virus (AAV) weakened EA-mediated BBB protection and neuroinflammation suppression. RNA-sequencing (RNA-seq) and western blot (WB) revealed that EA exerts neuroprotective effects by activating MC4R to inhibit MAPK and NF-κB signaling pathways. Moreover, in MC4R-overexpressing astrocytes, α-MSH and RO27-3225 reduced inflammation responses, while TCMCB07 reversed the effects by MAPK/NF-κB signaling pathways. Collectively, our findings identify astrocytic MC4R as a critical mediator of EA-driven neuroprotection by suppressing MAPK/NF-κB signaling, providing mechanistic insight and a promising therapeutic target for EAE and other neuroinflammatory disorders. Show less
📄 PDF DOI: 10.1186/s12974-025-03667-1
MC4R
Y X Li, H X Peng, H D Guo +11 more · 2025 · Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi · added 2026-04-24
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases Show more
With the advancement of genomic technologies, precision lifestyle interventions tailored to individual genetic backgrounds have emerged as a novel approach for preventing and managing chronic diseases such as obesity. Several randomized controlled trials (RCTs) targeting obese or overweight populations have found that individuals with different genotypes exhibit varying responses to the same lifestyle intervention (gene-lifestyle intervention interactions). To date, more than 20 genes, including Show less
no PDF DOI: 10.3760/cma.j.cn112338-20250501-00297
MC4R
Todd Hulgan, Kristine M Erlandson, Yuki Bradford +11 more · 2025 · Open forum infectious diseases · Oxford University Press · added 2026-04-24
Given the melanocortin-4 receptor's (MC4R) importance in obesity, we examined associations between
📄 PDF DOI: 10.1093/ofid/ofaf696
MC4R
Peng Zhong, Chumeng Zhang, Qinfeng Wu +1 more · 2025 · Frontiers in genetics · Frontiers · added 2026-04-24
Cardiovascular diseases (CVDs), including myocardial infarction (MI), heart failure (HF), atrial fibrillation (AF), and arrhythmia, are major contributors to global mortality and often share overlappi Show more
Cardiovascular diseases (CVDs), including myocardial infarction (MI), heart failure (HF), atrial fibrillation (AF), and arrhythmia, are major contributors to global mortality and often share overlapping risk factors and pathophysiological mechanisms. While genome-wide association studies (GWAS) have identified many loci for individual CVDs, the shared genetic architecture across related traits-particularly in East Asian populations-remains underexplored. We integrated large-scale GWAS summary statistics from East Asian populations to perform genome-wide and local genetic correlation analyses across four CVD phenotypes and five cardiometabolic traits (blood pressure and lipid levels). Using stratified LD score regression, we assessed tissue-specific heritability enrichment. Multi-trait analysis of GWAS (MTAG) was then employed to identify pleiotropic loci associated with multiple traits, with functional annotation and expression quantitative trait loci (eQTL) data used to explore biological relevance. We observed extensive genetic correlations among CVDs and between CVDs and cardiometabolic traits, with HF showing the strongest connections to both MI and arrhythmia. Notable genome-wide correlations were found between MI and SBP (rg = 0.35, Our findings provide comprehensive insight into the shared genetic determinants of cardiovascular and metabolic diseases in East Asian populations. The identification of pleiotropic and ancestry-specific loci, along with tissue-specific regulatory patterns, underscores the need for integrative multi-trait and population-informed approaches in cardiovascular genetics and risk prediction. Show less
📄 PDF DOI: 10.3389/fgene.2025.1635378
MC4R
Haoxue Zhu, Xinghao Yi, Mengyu He +3 more · 2025 · Metabolism: clinical and experimental · Elsevier · added 2026-04-24
Dynamic interactions between genetic predispositions and environmental exposures significantly shape the escalating prevalence of childhood obesity. This systematic review synthesizes observational an Show more
Dynamic interactions between genetic predispositions and environmental exposures significantly shape the escalating prevalence of childhood obesity. This systematic review synthesizes observational and clinical trial evidence on the gene-environment interplays influencing childhood obesity, highlighting the role of genetic variants and environmental moderators such as dietary habits, physical activity, sleep durations, parental behaviors, socioeconomic status, ethnicity, gender, as well as lifestyle interventions. We conducted an exhaustive search across 5 databases (Medline, PubMed, EMBASE, Web of Science, and Cochrane Library), adhering to PRISMA guidelines. We ultimately included 147 studies that investigated these interplays in diverse populations. Specifically, 83 studies focused on gene-diet interplays, 23 on gene-physical activity, 5 on sedentary behavior, 3 on screen time, 7 on sleep duration, 10 on parental behavior, 4 on socioeconomic status, 16 on gender, 8 on age, 7 on ethnicity, and 13 on the effects of lifestyle interventions. Notably, we meta-analyzed energy expenditure and macronutrient consumption, including carbohydrates, proteins, and fats, as well as the proportion of energy supplied by each nutrient between carriers and noncarriers of the FTO effect allele, revealing that carriers consumed a higher proportion of fat calories, with no other significant differences noted. This review demonstrates that genetic risk variants, particularly in FTO (e.g., rs9939609) and MC4R (e.g., rs17782313), amplify the adverse effects of obesogenic behaviors, offering insights into the intricate pathophysiology of childhood obesity and suggesting the potential for personalized interventions based on genetic profiles. Show less
no PDF DOI: 10.1016/j.metabol.2025.156303
MC4R
Mateus R Amorim, Noah R Williams, O Aung +12 more · 2025 · The Journal of clinical investigation · added 2026-04-24
Weight loss medications are emerging candidates for pharmacotherapy of sleep-disordered breathing (SDB). A melanocortin 4 receptor (MC4R) agonist, setmelanotide (Set), is used to treat obesity caused Show more
Weight loss medications are emerging candidates for pharmacotherapy of sleep-disordered breathing (SDB). A melanocortin 4 receptor (MC4R) agonist, setmelanotide (Set), is used to treat obesity caused by abnormal melanocortin and leptin signaling. We hypothesized that Set can treat SDB in mice with diet-induced obesity. We performed a proof-of-concept randomized crossover trial of a single dose of Set versus vehicle and a 2-week daily Set versus vehicle trial, examined colocalization of Mc4r mRNAs with the markers of CO2-sensing neurons Phox2b and neuromedin B in the brainstem, and expressed Cre-dependent designer receptors exclusively activated by designer drugs (DREADDs) or caspase in obese Mc4r-Cre mice. Set increased minute ventilation across sleep/wake states, enhanced the hypercapnic ventilatory response (HCVR), and abolished apneas during sleep. Phox2b+ neurons in the nucleus of the solitary tract (NTS) and the parafacial region expressed Mc4r. Chemogenetic stimulation of the MC4R+ neurons in the parafacial region, but not in the NTS, augmented HCVR without any changes in metabolism. Caspase elimination of the parafacial MC4R+ neurons abolished effects of Set on HCVR. Parafacial MC4R+ neurons projected to the respiratory premotor neurons retrogradely labeled from C3-C4. In conclusion, MC4R agonists enhance the HCVR and treat SDB by acting on the parafacial MC4R+ neurons. Show less
📄 PDF DOI: 10.1172/JCI177823
MC4R
Lin Ai, Yi Han, Ting Ge +14 more · 2025 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Some individuals are more susceptible to developing or suffering from pain states than others. However, the brain mechanisms underlying the susceptibility to pain responses are unknown. In this study, Show more
Some individuals are more susceptible to developing or suffering from pain states than others. However, the brain mechanisms underlying the susceptibility to pain responses are unknown. In this study, we defined pain susceptibility by recapitulating inter-individual differences in pain responses in mice exposed to a paradigm of socially transferred allodynia (STA), and with a combination of chemogenetic, molecular, pharmacological and electrophysiological approaches, we identified GABA-ergic neurons in the dorsal raphe nucleus (DRN) as a cellular target for the development and maintenance of STA susceptibility. We showed that DRN GABA-ergic neurons were selectively activated in STA-susceptible mice when compared with the unsusceptible (resilient) or control mice. Chemogenetic activation of DRN GABA-ergic neurons promoted STA susceptibility; whereas inhibiting these neurons prevented the development of STA susceptibility and reversed established STA. In in vitro slice electrophysiological analysis, we demonstrated that melanocortin 4 receptor (MC4R) enriched in DRN GABA-ergic neurons was a molecular target for regulating pain susceptibility, possibly by affecting DRN GABA-ergic neuronal activity. These results establish the DRN GABA-ergic neurons as an essential target for controlling pain susceptibility, thus providing important information for developing conceptually innovative and more accurate analgesic strategies. Show less
no PDF DOI: 10.1038/s41401-025-01494-x
MC4R
Zhihao Wang, Zhengsheng Wu · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Lung squamous cell carcinoma (LUSC) is a leading cause of cancer-related mortality. Although immunotherapy has recently demonstrated clinical benefits, the biological roles of immune-related genes (IR Show more
Lung squamous cell carcinoma (LUSC) is a leading cause of cancer-related mortality. Although immunotherapy has recently demonstrated clinical benefits, the biological roles of immune-related genes (IRGs) in LUSC remain insufficiently understood. In this study, transcriptomic and clinical data from 493 LUSC patients were obtained from The Cancer Genome Atlas (TCGA). IRGs were identified through weighted gene co-expression network analysis, followed by univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression to screen for prognostic genes and establish a risk prediction model. The model's predictive performance was validated, and the immune landscape associated with distinct risk subgroups was systematically characterized. Expression patterns and clinical significance of the signature genes were further investigated using bioinformatics analysis, quantitative real-time PCR, Western blotting, and immunohistochemistry. A total of 55 differentially expressed IRGs were identified, among which 8 genes ( This study establishes a novel IRGs-based prognostic signature with potential utility for risk stratification and individualized immunotherapeutic strategies in LUSC. Furthermore, it also provides valuable insights into the role of Show less
📄 PDF DOI: 10.3389/fimmu.2025.1724319
ANGPTL4
Anyu Zeng, Hongmin Chen, Tianqi Luo +13 more · 2025 · Molecular cancer · BioMed Central · added 2026-04-24
Osteosarcoma demonstrates limited responsiveness to PD-1 blockade, largely due to its immunosuppressive tumor microenvironment (TME). The specific mechanisms by which cancer-associated fibroblasts (CA Show more
Osteosarcoma demonstrates limited responsiveness to PD-1 blockade, largely due to its immunosuppressive tumor microenvironment (TME). The specific mechanisms by which cancer-associated fibroblasts (CAFs) contribute to immunosuppression in osteosarcoma are not fully understood. We performed single-cell RNA sequencing (scRNA-seq) on osteosarcoma tissues from patients treated with neoadjuvant chemotherapy and anti-PD-1 therapy to investigate the tumor microenvironment. Cellular composition, gene expression programs, and signaling pathways were analyzed. Functional assays, pull-down and PLA-flow binding validation, and in vivo mouse models were used to dissect the mechanisms by which CAF-derived factors influence CD8⁺ T cell function and contribute to immunotherapy response. We identified a subpopulation of CD36⁺ CAFs, characterized by adaptive uptake of oxidized low-density lipoprotein (OxLDL) and activation of the PPARG-FABP4 axis. This metabolic program promoted ANGPTL4 secretion, which bound integrin on CD8⁺ T cells and activated the JAK2-STAT3 pathway, leading to T cell exhaustion and impaired effector function. In vivo, administration of VitE effectively scavenged OxLDL, reprogrammed the TME, enhanced CD8⁺ T cell infiltration, and synergized with PD-1 blockade to improve tumor control. CD36⁺ CAFs drive immunosuppressive metabolic reprogramming via the OxLDL-PPARG-ANGPTL4 axis, promoting CD8⁺ T cell exhaustion and resistance to immunotherapy in osteosarcoma. Targeting this pathway with VitE alleviated CAF-mediated immune suppression and enhanced PD-1 blockade responses in preclinical models, providing a rationale for metabolism-based combinatorial strategies in osteosarcoma. Show less
📄 PDF DOI: 10.1186/s12943-025-02516-2
ANGPTL4
Ning Ding, Meimei Jiang, Guiyun Jia +6 more · 2025 · Computers in biology and medicine · Elsevier · added 2026-04-24
The heterogeneity of the tumor immune microenvironment (TIME) and therapeutic resistance in Colorectal cancer (CRC) present substantial clinical challenges. In this study, 1136 CRC samples from TCGA a Show more
The heterogeneity of the tumor immune microenvironment (TIME) and therapeutic resistance in Colorectal cancer (CRC) present substantial clinical challenges. In this study, 1136 CRC samples from TCGA and GEO were utilized for the overall research design, and tumor subtype classification (Immunity_High and Immunity_Low) was specifically performed on the TCGA cohort (n = 568) using single-sample gene set enrichment analysis (ssGSEA) and t-SNE dimensionality reduction; t-SNE was selected because the study focused on distinguishing local clustering features of immune subtypes-it excels in enhancing sample aggregation within subtypes and highlighting local differences, which aligns with classification needs, so UMAP (prioritizing global structure preservation) was not used. The GEO cohort (n = 568) was used for subsequent validation of the prognostic model and results. A 12-gene prognostic model, comprising ANGPTL4, FABP4, RBP7, and 9 additional non-core genes (CCL22, NOS2, TGFB3, APOD, CHGB, CX3CL1, APOBEC3F, LCN12, BST2), was developed using Least Absolute Shrinkage and Selection Operator-Cox regression (LASSO-Cox regression) regression.The functions of the core genes and potential therapeutic candidates were investigated via single-cell sequencing, molecular docking, dynamics simulations, drug sensitivity analysis, Human Protein Atlas (HPA) and quantitative Real - time Polymerase Chain Reaction (qPCR). The Immunity_High subtype, characterized by the presence of CD8 This multi-omics study integrates multi-omics data to elucidate the immune-metabolic heterogeneity in CRC, establishing a precise prognostic model and providing bioinformatic evidence for key roles of ANGPTL4, FABP4, and RBP7 in the tumor microenvironment, thereby suggesting novel strategies to overcome immunotherapy resistance. Show less
no PDF DOI: 10.1016/j.compbiomed.2025.111271
ANGPTL4
Meng-Wei Lin, Chung-Hao Li, Hung-Tsung Wu +4 more · 2025 · Journal of clinical medicine · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/jcm14217599
ANGPTL4
Wenxue Yao, Qianqian Sun, Ruize Wu +7 more · 2025 · Environmental pollution (Barking, Essex : 1987) · Elsevier · added 2026-04-24
Nickel exposure increases the risk of lung cancer; however, the mechanisms underlying nickel-induced oncogenic cell death remain unclear. While ferroptosis is linked to lung cancer, its role in nickel Show more
Nickel exposure increases the risk of lung cancer; however, the mechanisms underlying nickel-induced oncogenic cell death remain unclear. While ferroptosis is linked to lung cancer, its role in nickel-induced malignant transformation is not well understood. We simulated long-term exposure of human bronchial epithelial cells (Beas-2B cells) to nickel-refining fumes (NiRF) from a smelter and found that NiRF exposure induced their malignant transformation. Ferroptosis was inhibited in these transformed cells (2B-NiRF cells), a phenomenon also observed in NiRF-exposed mouse lung tissue. Treatment of 2B-NiRF cells with ferroptosis inducers and inhibitors indicated that ferroptosis suppresses their malignant phenotype. Transcriptome analysis of 2B-NiRF cells revealed enrichment in hypoxia and HIF-1 signaling pathways. Mechanistically, the NiRF-induced hypoxic microenvironment inactivates prolyl hydroxylase domain protein 1 (PHD1), stabilizing hypoxia-inducible factor-1α (HIF-1α), which coordinates the transcriptional program to maintain 2B-NiRF cells in a ferroptosis-resistant state. Overexpression of PHD1 inhibits HIF-1α and its downstream angiopoietin-like protein 4 (ANGPTL4)/janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) pathway, thereby restoring sensitivity to ferroptosis in 2B-NiRF cells; knockdown of ANGPTL4 similarly modulates sensitivity to ferroptosis. This underscores the crucial role of the PHD1/HIF-1α/ANGPTL4/JAK2/STAT3 axis in ferroptosis-mediated NiRF-induced malignant transformation. The NiRF-exposed mouse model further confirms that in vivo expression of the PHD1/HIF-1α/ANGPTL4/JAK2/STAT3 axis is dysregulated. In conclusion, this study reveals a novel regulatory cascade in which NiRF inhibits cellular ferroptosis via the PHD1/HIF-1α/ANGPTL4/JAK2/STAT3 axis, thereby inducing malignant transformation of cells, providing potential targets for occupational lung cancer risk management against ferroptosis. Show less
no PDF DOI: 10.1016/j.envpol.2025.127205
ANGPTL4
Ze Wu, Lanlan Fang, Xuan Dang +5 more · 2025 · Reproduction (Cambridge, England) · added 2026-04-24
How extravillous trophoblast (EVT) invasion is regulated during placental development remains an important question in reproductive biology. This study demonstrates that growth differentiation factor- Show more
How extravillous trophoblast (EVT) invasion is regulated during placental development remains an important question in reproductive biology. This study demonstrates that growth differentiation factor-11 (GDF-11) promotes EVT invasion by upregulating angiopoietin-like 4 (ANGPTL4) via ALK4/ALK5-SMAD3 signaling, revealing a novel mechanism in placental biology. Proper regulation of extravillous trophoblast (EVT) cell invasion is critical for normal placental development and function. Growth differentiation factor 11 (GDF-11), a member of the transforming growth factor-β (TGF-β) superfamily, has been shown to promote EVT cell invasion, yet the underlying molecular mechanisms remain largely unclear. In this study, RNA sequencing identified angiopoietin-like 4 (ANGPTL4), a multifunctional secreted protein, as a novel downstream target of GDF-11. In vitro experiments demonstrated that GDF-11 significantly upregulated ANGPTL4 expression in both HTR-8/SVneo cells and primary human EVT cells. Mechanistically, we found that the type I TGF-β receptors ALK4 and ALK5 were essential for mediating the stimulatory effect of GDF-11 on ANGPTL4 expression. Further analysis revealed that SMAD3, but not SMAD2, was the key transcription factor involved in this process. Using both loss- and gain-of-function approaches, we demonstrated that ANGPTL4 was required for GDF-11-induced EVT cell invasion. Importantly, serum levels of GDF-11 were markedly reduced in patients with preeclampsia (PE), a pregnancy disorder associated with shallow trophoblast invasion and poor placentation. Together, our findings uncover a previously unrecognized GDF-11-ANGPTL4 signaling axis that regulates EVT cell invasion and provides new insight into the pathophysiology of PE. Show less
no PDF DOI: 10.1530/REP-25-0244
ANGPTL4