👤 Meng-Han Wu

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Also published as: Aimin Wu, Alexander T H Wu, Alice Ying-Jung Wu, An Guo Wu, An-Chih Wu, An-Dong Wu, An-Hua Wu, An-Li Wu, An-Xin Wu, Andong Wu, Anguo Wu, Anke Wu, Anna H Wu, Anping Wu, Anshi Wu, Anyi Wu, Anyue Wu, Anzhou Wu, B Wu, Baiyan Wu, Baochuan Wu, Baojian Wu, Baojin Wu, Baoqin Wu, Beier Wu, Beili Wu, Ben J Wu, Bian Wu, Biaoliang Wu, Bifeng Wu, Bill X Wu, Bin Wu, Binbin Wu, Bing Wu, Bing-Bing Wu, Bingjie Wu, Binxin Wu, Biwei Wu, Bo Wu, Boquan Wu, Buling Wu, C Wu, C-H Wu, Cai-Qin Wu, Caihong Wu, Caisheng Wu, Caiwen Wu, Catherine A Wu, Chang-Jiun Wu, Changchen Wu, Changjie Wu, Changjing Wu, Changwei Wu, Changxin Wu, Changyu Wu, Chao Wu, Chao-Liang Wu, Chaoling Wu, Chaowei Wu, Chen Wu, Chen-Lu Wu, Cheng Wu, Cheng-Chun Wu, Cheng-Hsin Wu, Cheng-Hua Wu, Cheng-Jang Wu, Cheng-Jun Wu, Cheng-Yang Wu, Chengbiao Wu, Chengqian Wu, Chengrong Wu, Chengwei Wu, Chengxi Wu, Chengyu Wu, Chenyang Wu, Chew-Wun Wu, Chi-Chung Wu, Chi-Hao Wu, Chi-Jen Wu, Chia-Chang Wu, Chia-Chen Wu, Chia-Ling Wu, Chia-Lung Wu, Chia-Zhen Wu, Chiao-En Wu, Chieh-Jen Wu, Chieh-Lin Stanley Wu, Chien-Sheng Wu, Chien-Ting Wu, Chih-Ching Wu, Chih-Chung Wu, Chih-Hsing Wu, Ching-Yi Wu, Cho-Kai Wu, Chong Wu, Chongming Wu, Choufei Wu, Chris Y Wu, Chuan-Ling Wu, Chuang Wu, Chuanhong Wu, Chun Wu, Chun-Chieh Wu, Chun-Hua Wu, Chunfu Wu, Chung-Yi Wu, Chunru Wu, Chunshuai Wu, Chunyan Wu, Colin Chih-Chien Wu, Colin O Wu, Cong Wu, Congying Wu, Constance Wu, Cuiling Wu, Cuiyan Wu, D I Wu, D P Wu, D Wu, Da-Hua Wu, Dai-Chao Wu, Dan Wu, Dan-Chun Wu, Dandan Wu, Danhong Wu, Danni Wu, Daoyuan Wu, Dapeng Wu, Daqing Wu, Daren Wu, David Wu, Daxian Wu, De Wu, De-Fu Wu, Deguang Wu, Dengying Wu, Depei Wu, Depeng Wu, Deqing Wu, Di Wu, Diana H Wu, Diana Wu, Dianqing Wu, Ding Lan Wu, Dirong Wu, Dishan Wu, Disheng Wu, Do-Bo Wu, Dong Wu, Dong-Bo Wu, Dong-Fang Wu, Dong-Feng Wu, Donglin Wu, Dongmei Wu, Dongping Wu, Dongsheng Wu, Dongyan Wu, Dongzhe Wu, Douglas C Wu, Duojiao Wu, Ed Xuekui Wu, Eugenia Wu, Fan Wu, Fanchang Wu, Fang Wu, Fang-Tzu Wu, Fangge Wu, Fanggeng Wu, Fei Wu, Fei-Fei Wu, Feifei Wu, Fenfang Wu, Feng Wu, Fengming Wu, Fengying Wu, Fong-Li Wu, G Wu, G X Wu, Gaige Wu, Gang Wu, Gaojun Wu, Ge-ru Wu, Gen Sheng Wu, Gen Wu, Geng-ze Wu, Geping Wu, Geting Wu, Geyan Wu, Grace F Wu, Guang-Bo Wu, Guang-Liang Wu, Guang-Long Wu, Guanggeng Wu, Guangjie Wu, Guangming Wu, Guangrun Wu, Guangsen Wu, Guangxi Wu, Guangxian Wu, Guangyan Wu, Guangzhen Wu, Guanhui Wu, Guanming Wu, Guanrong Wu, Guanxian Wu, Guanyi Wu, Guanzhao Wu, Guanzhong Wu, Gui-Qin Wu, Guifen Wu, Guifu Wu, Guihua Wu, Guiping Wu, Guixin Wu, Guizhen Wu, Guo-Chao Wu, Guofeng Wu, Guohao Wu, Guojun Wu, Guoli Wu, Guoping Wu, Guoqing Wu, Guorong Wu, Guoyao Wu, H J Wu, H Wu, Hai-Ping Wu, Hai-Yan Wu, Hai-Yin Wu, Haibin Wu, Haidong Wu, Haihu Wu, Haijiang Wu, Haijing Wu, Hailong Wu, Haiping Wu, Haishan Wu, Haisu Wu, Haiwei Wu, Haixia Wu, Haiyan Wu, Haiying Wu, Haiyun Wu, Han Wu, Han-Jie Wu, Hang Wu, Hanyu Wu, Hao Wu, Hao-Tian Wu, Haoan Wu, Haodi Wu, Haomin Wu, Haoming Wu, Haoxuan Wu, Haoze Wu, He Wu, Hei Man Wu, Hei-Man Wu, Hengyu Wu, Hon-Yen Wu, Hong Wu, Hong-Fu Wu, Hong-Mei Wu, Hongfei Wu, Hongfu Wu, Hongke Wu, Hongliang Wu, Honglin Wu, Hongmei Wu, Hongting Wu, Hongxi Wu, Hongxian Wu, Hongyan Wu, Hongyu Wu, Hsan-Au Wu, Hsi-Chin Wu, Hsien-Ming Wu, Hsing-Chieh Wu, Hsiu-Chuan Wu, Hsueh-Erh Wu, Hua Wu, Hua-Yu Wu, Huan Wu, Huanghui Wu, Huanlin Wu, Huanwen Wu, Huating Wu, Huazhang Wu, Huazhen Wu, Hui Wu, Hui-Chen Wu, Hui-Hui Wu, Hui-Mei Wu, Hui-Xuan Wu, Huijian Wu, Huijuan Wu, Huini Wu, Huisheng Wu, Huiwen Wu, Hung-Tsung Wu, I H Wu, Irene X Y Wu, J W Wu, J Wu, J Y Wu, J-Z Wu, Jamie L Y Wu, Jason H Y Wu, Jason Wu, Jemma X Wu, Jer-Yuan Wu, Jer-Yuarn Wu, Jerry Wu, Ji-Zhou Wu, Jia Wu, Jia-En Wu, Jia-Hui Wu, Jia-Jun Wu, Jia-Qi Wu, Jia-Wei Wu, Jiahang Wu, Jiahao Wu, Jiahui Wu, Jiajin Wu, Jiajing Wu, Jiake Wu, Jiamei Wu, Jian Hui Wu, Jian Wu, Jian-Lin Wu, Jian-Qiu Wu, Jian-Yi Wu, Jiang Wu, Jiang-Bo Wu, Jiang-Nan Wu, Jiangdong Wu, Jianguang Wu, Jiangyue Wu, Jianhui Wu, Jianing Wu, Jianjin Wu, Jianjun Wu, Jianli Wu, Jianliang Wu, Jianmin Wu, Jianming Wu, Jianping Wu, Jianqiang Wu, Jianrong Wu, Jianwu Wu, Jianxin Wu, Jianxiong Wu, Jianyi Wu, Jianying Wu, Jianzhang Wu, Jianzhi Wu, Jianzhong Wu, Jiao Wu, Jiapei Wu, Jiaqi Wu, Jiarui Wu, Jiawei Wu, Jiaxi Wu, Jiaxuan Wu, Jiayi Wu, Jiayu Wu, Jiayuan Wu, Jie Wu, JieQian Wu, Jiexi Wu, Jihui Wu, Jin Wu, Jin'en Wu, Jin-Shang Wu, Jin-Zhen Wu, Jin-hua Wu, Jincheng Wu, Jinfeng Wu, Jing Wu, Jing-Fang Wu, Jing-Wen Wu, Jinghong Wu, Jingjing Wu, Jingtao Wu, Jingwan Wu, Jingyi Wu, Jingyue Wu, Jingyun Wu, Jinhua Wu, Jinhui Wu, Jinjie Wu, Jinjun Wu, Jinmei Wu, Jinqiao Wu, Jinyu Wu, Jinze Wu, Jiong Wu, Jiu-Lin Wu, Joseph C Wu, Joshua L Wu, Ju Wu, Juan Wu, Juanjuan Wu, Juanli Wu, Jugang Wu, Julian Wu, Jun Wu, Jundong Wu, Junduo Wu, June K Wu, June-Hsieh Wu, Junfang Wu, Junfei Wu, Junfeng Wu, Junhua Wu, Junjie Wu, Junjing Wu, Junlong Wu, Junqi Wu, Junqing Wu, Junshu Wu, Junyi Wu, Junyong Wu, Junzheng Wu, Junzhu Wu, Justin C Y Wu, Justin Che-Yuen Wu, K D Wu, K S Wu, Kai-Hong Wu, Kai-Yue Wu, Kailang Wu, Kaili Wu, Kan Wu, Kay L H Wu, Ke Wu, Kebang Wu, Keija Wu, Kejia Wu, Kerui Wu, Kevin Zl Wu, Kuan-Li Wu, Kuen-Phon Wu, Kui Wu, Kuixian Wu, Kun Wu, Kun-Rong Wu, Kunfang Wu, Kunling Wu, Kunsheng Wu, L Wu, L-F Wu, Lai Man Natalie Wu, Lan Wu, Lanlan Wu, Lanxiang Wu, Lecheng Wu, Lei Wu, Leilei Wu, Lesley Wu, Leslie Wu, Li Wu, Li-Hsien Wu, Li-Jun Wu, Li-Ling Wu, Li-Na Wu, Li-Peng Wu, Liang Wu, Liang-Huan Wu, Liangyan Wu, Lianqian Wu, Lichao Wu, Lidi Wu, Lifang Wu, Lifeng Wu, Lihong Wu, Lijie Wu, Lijuan Wu, Lijun Wu, Lili Wu, Limei Wu, Limeng Wu, Lin Wu, Lin-Han Wu, Ling Wu, Ling-Fei Wu, Ling-Ying Wu, Ling-qian Wu, Lingling Wu, Lingqian Wu, Lingxi Wu, Lingxiang Wu, Lingyan Wu, Lingyun Wu, Lingzhi Wu, Linhong Wu, Linmei Wu, Lintao Wu, Linxiang Wu, Linyu Wu, Linzhen Wu, Linzhi Wu, Lipeng Wu, Liping Wu, Liqiang Wu, Liqun Wu, Liren Wu, Lisha Wu, Liting Wu, Litong Wu, Liufeng Wu, Liuting Wu, Liuxin Wu, Liuying Wu, Lixing Wu, Liyan Wu, Liyang Wu, Lizhen Wu, Lizi Wu, Long-Jun Wu, Longting Wu, Lorna Wu, Lulu Wu, Lun Wu, Lun-Gang Wu, Luyan Wu, M Wu, Ma Wu, Man Wu, Man-Jing Wu, Maoqing Wu, Mark N Wu, Matthew A Wu, Maureen Wu, Mei Wu, Mei-Hwan Wu, Mei-Na Wu, Meili Wu, Meina Wu, Meini Wu, Meiqi Wu, Meiqin Wu, Meng Wu, Meng-Chao Wu, Meng-Hsun Wu, Meng-Ling Wu, Meng-Na Wu, Mengbo Wu, Mengchao Wu, Mengjuan Wu, Mengjun Wu, Mengna Wu, Mengqiu Wu, Mengxue Wu, Mengying Wu, Mengyuan Wu, Mian Wu, Michael C Wu, Min Wu, Min-Jiao Wu, Ming J Wu, Ming Wu, Ming-Der Wu, Ming-Jiuan Wu, Ming-Shiang Wu, Ming-Sian Wu, Ming-Tao Wu, Ming-Yue Wu, Mingfu Wu, Minghua Wu, Mingjie Wu, Mingjun Wu, Mingming Wu, Mingxing Wu, Mingxuan Wu, Minna Wu, Minqing Wu, Minyao Wu, Moxin Wu, Muzhou Wu, N Wu, Na Wu, Na-Qiong Wu, Nan Wu, Nana Wu, Naqiong Wu, Ning Wu, Nini Wu, Niting Wu, P L Wu, Panyun Wu, Paul W Wu, Pei Wu, Pei-Ei Wu, Pei-Ting Wu, Pei-Wen Wu, Pei-Yu Wu, Peih-Shan Wu, Peiyao Wu, Peiyi Wu, Peng Wu, Peng-Fei Wu, Pengfei Wu, Pengjie Wu, Pengning Wu, Pensee Wu, Pin Wu, Ping Wu, Ping-Hsun Wu, Pinglian Wu, Pingxian Wu, Po-Chang Wu, Qi Wu, Qi-Biao Wu, Qi-Fang Wu, Qi-Jun Wu, Qi-Nian Wu, Qi-Yong Wu, Qi-Zhu Wu, Qian Wu, Qian-Yan Wu, Qiang Wu, Qianhu Wu, Qianqian Wu, Qianwen Wu, Qiao Wu, Qiaowei Wu, Qibiao Wu, Qibing Wu, Qihan Wu, Qijing Wu, Qin Wu, Qinan Wu, Qinfeng Wu, Qing Wu, Qing-Qian Wu, Qing-Wu Wu, Qinghua Wu, Qinglan Wu, Qinglin Wu, Qingping Wu, Qingshi Wu, Qinyi Wu, Qiong Wu, Qiqing Wu, Qitian Wu, Qiu Wu, Qiu-Li Wu, Qiuchen Wu, Qiuhong Wu, Qiuji Wu, Qiulian Wu, Qiuliang Wu, Qiuxia Wu, Qiuya Wu, Quanhui Wu, Qunzheng Wu, R M Wu, R Ryanne Wu, R Wu, R-J Wu, Ran Wu, Ray-Chin Wu, Re-Wen Wu, Ren Wu, Ren-Chin Wu, Renhai Wu, Renlv Wu, Renrong Wu, Riping Wu, Rong Wu, Ronghua Wu, Rongjie Wu, Rongling Wu, Rongrong Wu, Ru-Zi Wu, Rui Wu, Ruihong Wu, Ruize Wu, Run Wu, Runda Wu, Runpei Wu, Ruohao Wu, Ruolan Wu, Ruonan Wu, Ruying Wu, S F Wu, S J Wu, S L Wu, S M Wu, S Wu, S-F Wu, Sai Wu, Samuel M Wu, San-pin Wu, Sarah Wu, Sean M Wu, Selena Meiyun Wu, Selwin K Wu, Semon Wu, Sen-Chao Wu, Senquan Wu, Sensen Wu, Shao-Guo Wu, Shao-Ming Wu, Shaofei Wu, Shaohuan Wu, Shaojun Wu, Shaoping Wu, Shaoxuan Wu, Shaoyu Wu, Shaoze Wu, Sheng-Li Wu, Shengde Wu, Shengming Wu, Shengnan Wu, Shengru Wu, Shengxi Wu, Shenhao Wu, Shenyue Wu, Shi-Xin Wu, Shibo Wu, Shih-Ying Wu, Shihao Wu, Shin-Long Wu, Shinan Wu, Shiqi Wu, Shiwen Wu, Shixin Wu, Shiya Wu, Shiyang Wu, Shu Wu, Shuai Wu, Shuang Wu, Shufang Wu, Shugeng Wu, Shuihua Wu, Shuisheng Wu, Shujuan Wu, Shunan Wu, Shuo Wu, Shusheng Wu, Shuting Wu, Shuyan Wu, Shuyi Wu, Shuying Wu, Shwu-Yuan Wu, Shyh-Jong Wu, Si-Jia Wu, Sichen Wu, Sihan Wu, Sihui Wu, Sijie Wu, Sijun Wu, Siming Wu, Siqi Wu, Siyi Wu, Siying Wu, Siyu Wu, Song Wu, Songfen Wu, Su Wu, Su-Hui Wu, Suhua Wu, Sunyi Wu, Szu-Hsien Wu, T Wu, Tangchun Wu, Tao Wu, Teng Wu, Terence Wu, Thomas D Wu, Tian Wu, Tiange Wu, Tianhao Wu, Tianqi Wu, Tiantian Wu, Tianwen Wu, Tianzhi Wu, Ting-Feng Wu, Ting-Ting Wu, Tingchun Wu, Tingqin Wu, Tingting Wu, Tong Wu, Tracy Wu, Tsai-Kun Wu, Tsung-Jui Wu, Tsung-Teh Wu, Tung-Ho Wu, Tzu-Chun Wu, V C Wu, W J Wu, W Wu, Wan-Fu Wu, Wanxia Wu, Wei Wu, Wei-Chi Wu, Wei-Ping Wu, Wei-Xun Wu, Wei-Yin Wu, Weibin Wu, Weida Wu, Weidong Wu, Weihua Wu, Weijie Wu, Weijun Wu, Weiwei Wu, Weizhen Wu, Wen Wu, Wen-Chieh Wu, Wen-Hui Wu, Wen-Jeng Wu, Wen-Juan Wu, Wen-Ling Wu, Wen-Qiang Wu, Wen-Sheng Wu, Wen-Shu Wu, Wenda Wu, Wendy Wu, Wenhui Wu, Wenjie Wu, Wenjing Wu, Wenjuan Wu, Wenjun Wu, Wenlin Wu, Wenqi Wu, Wenqian Wu, Wenqiang Wu, Wenwen Wu, Wenxian Wu, Wenxue Wu, Wenyi Wu, Wenyong Wu, Wenyu Wu, Wenze Wu, William K K Wu, William Ka Kei Wu, Wu-Tian Wu, Wudelehu Wu, Wujun Wu, Wutain Wu, Wutian Wu, Xi Wu, Xi-Chen Wu, Xi-Ze Wu, Xia Wu, Xiahui Wu, Xian-Run Wu, Xianan Wu, Xianfeng Wu, Xiangping Wu, Xiangsheng Wu, Xiangwei Wu, Xiangxin Wu, Xianpei Wu, Xiao Wu, Xiao-Cheng Wu, Xiao-Hui Wu, Xiao-Jin Wu, Xiao-Jun Wu, Xiao-Yan Wu, Xiao-Yang Wu, Xiao-Ye Wu, Xiao-Yuan Wu, Xiaobin Wu, Xiaobing Wu, Xiaodi Wu, Xiaodong Wu, Xiaofan Wu, Xiaofeng Wu, Xiaofu Wu, Xiaohong Wu, Xiaohui Wu, Xiaojiang Wu, Xiaojie Wu, Xiaojin Wu, Xiaojing Wu, Xiaojun Wu, Xiaokang Wu, Xiaoke Wu, Xiaolang Wu, Xiaoli Wu, Xiaoliang Wu, Xiaolin Wu, Xiaoling Wu, Xiaolong Wu, Xiaoman Wu, Xiaomei Wu, Xiaomeng Wu, Xiaomin Wu, Xiaoming Wu, Xiaoping Wu, Xiaoqian Wu, Xiaoqing Wu, Xiaoqiong Wu, Xiaorong Wu, Xiaoting Wu, Xiaotong Wu, Xiaoxing Wu, Xiaoyang Wu, Xiaoying Wu, Xiaoyong Wu, Xiaoyun Wu, Xiayin Wu, Xiexing Wu, Xifeng Wu, Xihai Wu, Xilin Wu, Xilong Wu, Ximei Wu, Xin Wu, Xin-Xi Wu, Xinchun Wu, Xing Wu, Xing-De Wu, Xing-Ping Wu, Xingdong Wu, Xinghua Wu, Xingjie Wu, Xinglong Wu, Xingwei Wu, Xinhe Wu, Xinjing Wu, Xinlei Wu, Xinmiao Wu, Xinran Wu, Xinrui Wu, Xinyan Wu, Xinyang Wu, Xinyi Wu, Xinyin Wu, Xiping Wu, Xiru Wu, Xiu-Zhi Wu, Xiuhua Wu, Xiushan Wu, Xiwei Wu, Xu Wu, Xuan Wu, Xuanqin Wu, Xuanshuang Wu, Xudong Wu, Xue Wu, Xue-Mei Wu, Xue-Yan Wu, Xuefen Wu, Xuefeng Wu, Xueji Wu, Xuekun Wu, Xueling Wu, Xuemei Wu, Xueqian Wu, Xueqing Wu, Xueyan Wu, Xueyao Wu, Xueying Wu, Xueyuan Wu, Xuhan Wu, Xunwei Wu, Xuxian Wu, Y H Wu, Y Q Wu, Y Wu, Y Y Wu, Y-W Wu, Ya Wu, Yadi Wu, Yafei Wu, Yajie Wu, Yalan Wu, Yali Wu, Yan Wu, Yan Yan Wu, Yan-Hua Wu, Yan-Jun Wu, Yan-ling Wu, Yanan Wu, Yanchuan Wu, Yanchun Wu, Yandi Wu, Yang Wu, Yangfeng Wu, Yangna Wu, Yangyu Wu, Yanhong Wu, Yanhua Wu, Yanhui Wu, Yanjing Wu, Yanli Wu, Yanqiong Wu, Yanran Wu, Yansheng Wu, Yanting Wu, Yanxiang Wu, Yanyan Wu, Yanzhi Wu, Yao Wu, Yaohong Wu, Yaohua Wu, Yaojiong Wu, Yaoxing Wu, Yaping Wu, Yaqin Wu, Yaru Wu, Yawei Wu, Yawen Wu, Ye Wu, Yen-Wen Wu, Yetong Wu, Yexiang Wu, Yi Wu, Yi-Cheng Wu, Yi-Fang Wu, Yi-Hua Wu, Yi-Long Wu, Yi-Mi Wu, Yi-Ming Wu, Yi-No Wu, Yi-Syuan Wu, Yi-Xia Wu, Yi-Ying Wu, Yibo Wu, Yichen Wu, Yicheng Wu, Yifan Wu, Yifeng Wu, Yih-Jer Wu, Yih-Ru Wu, Yihan Wu, Yihang Wu, Yihe Wu, Yihua Wu, Yihui Wu, Yijian Wu, Yili Wu, Yillin Wu, Yilong Wu, Yin Wu, Yinan Wu, Ying Wu, Ying-Ting Wu, Ying-Ying Wu, Yingbiao Wu, Yinghao Wu, Yingning Wu, Yingxia Wu, Yingying Wu, Yingzhi Wu, Yipeng Wu, Yiping Wu, Yiqun Wu, Yiran Wu, Yiting Wu, Yiwen Wu, Yixia Wu, Yixuan Wu, Yiyang Wu, Yiyi Wu, Yizhou Wu, Yong Wu, Yong-Hao Wu, Yong-Hong Wu, Yongfa Wu, Yongfei Wu, Yonghui Wu, Yongjiang Wu, Yongmei Wu, Yongqi Wu, Yongqun Wu, You Wu, Yu Wu, Yu'e Wu, Yu-Chih Wu, Yu-E Wu, Yu-Hsuan Wu, Yu-Ke Wu, Yu-Ling Wu, Yu-Ting Wu, Yu-Yuan Wu, Yuan Kai Wu, Yuan Wu, Yuan-de Wu, Yuanbing Wu, Yuanhao Wu, Yuanming Wu, Yuanshun Wu, Yuanyuan Wu, Yuanzhao Wu, Yucan Wu, Yuchen Wu, Yudan Wu, Yue Wu, Yueheng Wu, Yueling Wu, Yueming Wu, Yuen-Jung Wu, Yuesheng Wu, Yuetong Wu, Yuexiu Wu, Yuguang Philip Wu, Yuh-Lin Wu, Yuhong Wu, Yujie Wu, Yujuan Wu, Yukang Wu, Yulian Wu, Yuliang Wu, Yulin Wu, Yumei Wu, Yumin Wu, Yuming Wu, Yun Wu, Yun-Wen Wu, Yuna Wu, Yung-Fu Wu, Yunhua Wu, Yunpeng Wu, Yupeng Wu, Yuqin Wu, Yurong Wu, Yushun Wu, Yuting Wu, Yutong Wu, Yuwei Wu, Yuxian Wu, Yuxiang Wu, Yuxin Wu, Yuyi Wu, Yuyu Wu, Z Wu, Zaihao Wu, Ze Wu, Zelai Wu, Zeng-An Wu, Zhangjie Wu, Zhao-Bo Wu, Zhao-Yang Wu, Zhaofei Wu, Zhaoxia Wu, Zhaoyang Wu, Zhaoyi Wu, Zhaoyuan Wu, Zhe Wu, Zheming Wu, Zhen Wu, Zhen-Qi Wu, Zhen-Yang Wu, Zhenfang Wu, Zhenfeng Wu, Zheng Wu, Zhengcan Wu, Zhengfeng Wu, Zhengliang L Wu, Zhengsheng Wu, Zhenguo Wu, Zhengyu Wu, Zhengzhi Wu, Zhenling Wu, Zhenlong Wu, Zhentian Wu, Zhenyan Wu, Zhenyong Wu, Zhenzhen Wu, Zhenzhou Wu, Zhi-Hong Wu, Zhi-Wei Wu, Zhi-Yong Wu, Zhibing Wu, Zhichong Wu, Zhidan Wu, Zhihao Wu, Zhikang Wu, Zhimin Wu, Zhipeng Wu, Zhiping Wu, Zhiqiang Wu, Zhixiang Wu, Zhiye Wu, Zhong Wu, Zhong-Jun Wu, Zhong-Yan Wu, Zhongchan Wu, Zhonghui Wu, Zhongjun Wu, Zhongluan Wu, Zhongqiu Wu, Zhongren Wu, Zhongwei Wu, Zhongyang Wu, Zhou Wu, Zhou-Ming Wu, Zhourui Wu, Zhuanbin Wu, Zhuokai Wu, Zhuoze Wu, Zhuzhu Wu, Zijun Wu, Ziliang Wu, Zilong Wu, Zimu Wu, Zixiang Wu, Zixuan Wu, Zoe Wu, Zong-Jia Wu, Zongfu Wu, Zongheng Wu, Zujun Wu, Zuping Wu
articles
Chao Wei, Jing Liu, Bing Wu +8 more · 2025 · Brain, behavior, and immunity · Elsevier · added 2026-04-24
Accumulating evidence indicates that neuroinflammation is involved in the pathogenesis of Alzheimer's disease (AD). According to RNA sequencing and quantitative PCR (qPCR), we found that chemokine CCL Show more
Accumulating evidence indicates that neuroinflammation is involved in the pathogenesis of Alzheimer's disease (AD). According to RNA sequencing and quantitative PCR (qPCR), we found that chemokine CCL3 mRNA expression was abnormally upregulated in the brains of AD transgenic mice. Moreover, the levels of CCL3 in the serum of AD patients were significantly elevated and negatively correlated with their cognitive abilities. However, the role of CCL3 in AD neuroinflammation and pathological damages remains elusive. Using behavioral, histological, and biochemical methods, outcomes of CCL3 antibody treatment on neuropathology and cognitive deficits were studied in the APPswe/PS1dE9 mice. In the present study, we reported that CCL3 protein expression was increased in the APPswe/PS1dE9 mice, whereas blockage of CCL3 with neutralizing antibody potently inhibited CCL3 activation in the APPswe/PS1dE9 mice down to the levels of wild-type mice. Specifically, CCL3 antibody significantly improved the learning and memory abilities of APPswe/PS1dE9 mice. In addition, CCL3 antibody treatment decreased cerebral amyloid-β (Aβ) levels and plaque burden via inhibiting amyloid precursor protein (APP) processing by reducing beta-site APP cleaving enzyme 1 (BACE1) expression in the APPswe/PS1dE9 mice. We also found that CCL3 antibody treatment alleviated neuroinflammation and reduced synaptic defects in the APPswe/PS1dE9 mice. Furthermore, the activated NF-κB signaling pathway in APPswe/PS1dE9 mice was inhibited by CCL3 antibody treatment. Collectively, our findings provide evidence that CCL3 activation may contribute to the AD pathogenesis and may serve as a novel therapeutic target in the treatment of AD. Show less
no PDF DOI: 10.1016/j.bbi.2025.04.034
BACE1
Danlei Bi, Hong Bao, Xiaoli Yang +18 more · 2025 · Neuron · Elsevier · added 2026-04-24
Neural hyperexcitability has been clinically associated with amyloid-β (Aβ) pathology and cognitive impairment in Alzheimer's disease (AD). Here, we show that decreased GABA
no PDF DOI: 10.1016/j.neuron.2025.01.030
BACE1
Fahad Hussain, Ayesha Tahir, Hafiz Muzzammel Rehman +3 more · 2025 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is marked by low neurotransmitter levels, inflammation, increased oxidative stress, and the aggregation of amyloid-β and tau proteins. The development of hybrid compounds acti Show more
Alzheimer's disease (AD) is marked by low neurotransmitter levels, inflammation, increased oxidative stress, and the aggregation of amyloid-β and tau proteins. The development of hybrid compounds acting as multi-target-directed ligands (MTDLs) is a novel and contemporary approach in Alzheimer's disease therapeutics. The objective of our current research focuses on identifying compounds with balanced, even moderate inhibition potential against multiple targets associated with cholinergic deficit and neuroinflammation. Inspired by our previous study, the thiazolidinedione-thiazole-based framework has been employed to design and synthesize a series of new hybrids. The inhibitory effects of the synthesized compounds on selected enzymes were investigated by employing in-vitro methods. The synergistic inhibition of acetylcholinesterase (AChE), monoamine oxidase-B (MAO-B), β-secretase (BACE-1), cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) by compound 49 is believed to have a more potent effect in treating Alzheimer's disease. Enzyme kinetic studies and their effect on substrate-enzyme interactions of the compounds with significant inhibitory potency for AChE and MAO-B were also investigated. Central nervous system (CNS) penetration was determined using in-vitro PAMPA assay. A neurotoxicity test on neuroblastoma cell lines (SH-SY5Y) showed that the compounds were non-toxic. Compound 49 showed an excellent neuroprotective effect by significantly reducing H Show less
no PDF DOI: 10.1016/j.ejmech.2025.117327
BACE1
Zhuoze Wu, Xiaojie Liu, Yuntai Wang +3 more · 2025 · Neuroscience bulletin · Springer · added 2026-04-24
Alzheimer's disease (AD), a neurodegenerative disorder with complex etiologies, manifests through a cascade of pathological changes before clinical symptoms become apparent. Among these early changes, Show more
Alzheimer's disease (AD), a neurodegenerative disorder with complex etiologies, manifests through a cascade of pathological changes before clinical symptoms become apparent. Among these early changes, alterations in the expression of non-coding RNAs (ncRNAs) have emerged as pivotal events. In this study, we focused on the aberrant expression of ncRNAs and revealed that Lamr1-ps1, a pseudogene of the laminin receptor, significantly exacerbates early spatial learning and memory deficits in APP/PS1 mice. Through a combination of bioinformatics prediction and experimental validation, we identified the miR-29c/Bace1 pathway as a potential regulatory mechanism by which Lamr1-ps1 influences AD pathology. Importantly, augmenting the miR-29c-3p levels in mice ameliorated memory deficits, underscoring the therapeutic potential of targeting miR-29c-3p in early AD intervention. This study not only provides new insights into the role of pseudogenes in AD but also consolidates a foundational basis for considering miR-29c as a viable therapeutic target, offering a novel avenue for AD research and treatment strategies. Show less
📄 PDF DOI: 10.1007/s12264-024-01336-6
BACE1
Qiuyun Tian, Junjie Li, Bin Wu +16 more · 2025 · The Journal of clinical investigation · added 2026-04-24
Posttranslational modification (PTM) of the amyloid precursor protein (APP) plays a critical role in Alzheimer's disease (AD). Recent evidence reveals that lactylation modification, as a novel PTM, is Show more
Posttranslational modification (PTM) of the amyloid precursor protein (APP) plays a critical role in Alzheimer's disease (AD). Recent evidence reveals that lactylation modification, as a novel PTM, is implicated in the occurrence and development of AD. However, whether and how APP lactylation contributes to both the pathogenesis and cognitive function in AD remains unknown. Here, we observed a reduction in APP lactylation in AD patients and AD model mice and cells. Proteomic mass spectrometry analysis further identified lysine 612 (APP-K612la) as a crucial site for APP lactylation, influencing APP amyloidogenic processing. A lactyl-mimicking mutant (APPK612T) reduced amyloid-β peptide (Aβ) generation and slowed down cognitive deficits in vivo. Mechanistically, APPK612T appeared to facilitate APP trafficking and metabolism. However, lactylated APP entering the endosome inhibited its binding to BACE1, suppressing subsequent cleavage. Instead, it promoted protein interaction between APP and CD2-associated protein (CD2AP), thereby accelerating the endosomal-lysosomal degradation pathway of APP. In the APP23/PS45 double-transgenic mouse model of AD, APP-Kla was susceptible to L-lactate regulation, which reduced Aβ pathology and repaired spatial learning and memory deficits. Thus, these findings suggest that targeting APP lactylation may be a promising therapeutic strategy for AD in humans. Show less
📄 PDF DOI: 10.1172/JCI184656
BACE1
Zhengyu Wang, Dan Wu, Xinyi Hu +5 more · 2025 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Chronic sleep deprivation (CSD) can result in neuronal damage, synaptic dysfunction, Aβ production, neuroinflammation, and ultimately cognitive deterioration. WuYou Decoction (WYD), a contemporary pre Show more
Chronic sleep deprivation (CSD) can result in neuronal damage, synaptic dysfunction, Aβ production, neuroinflammation, and ultimately cognitive deterioration. WuYou Decoction (WYD), a contemporary prescription, has shown promise in enhancing sleep quality and cognitive performance in individuals with insomnia. However, the specific molecular mechanisms responsible for the neuroprotective effects of WYD on CSD remain incompletely understood. This study aimed to investigate the neuroprotective effects of WYD on the CSD model and its molecular mechanism. UHPLC-MS/MS analysis was utilized to analyze the active ingredients of WYD extract. The study employed the multi-platform water environment method to establish the CSD model in rats. Subsequent to treatment with varying doses of WYD in CSD rats, cognitive function and pathological alterations in hippocampus and cortex, including neuronal damage, synaptic dysfunction, Aβ production, and neuroinflammation, were evaluated through a combination of Morris Water Maze test, HE staining, Nissl staining, Golgi-Cox staining, Transmission electron microscope, ELISA, Immunohistochemistry staining, Immunofluorescence staining and Western blot. UHPLC-MS/MS analysis revealed a total of 99 active ingredients were identified from the WYD extract. The administration of WYD exhibited a mitigation of cognitive decline in the model of CSD, as evidenced by increased neuron count in the hippocampus and cortex, and improved density and length of dendritic spines in these brain regions. Furthermore, WYD was found to suppress the Aβ production, and inhibit the expression of BACE1, PS1, GFAP, IBA1, IL-1β, IL-6, TNF-α, phosphorylated IκBα (Ser32) and phosphorylated NF-κB p65 (Ser536) in the hippocampus and cortex, while also increasing the levels of PSD95, SYN1, ADAM10, IDE, SIRT1 and Nrf2. WYD exhibits neuroprotective properties in CSD, potentially through modulation of the Aβ-related enzymes and SIRT1/Nrf2/NF-κB pathway. Show less
no PDF DOI: 10.1016/j.jep.2024.118939
BACE1
Yisheng Chen, Xiaofeng Chen, Zhiwen Luo +16 more · 2025 · Journal of advanced research · Elsevier · added 2026-04-24
Alzheimer's Disease (AD), a progressive neurodegenerative disorder, is marked by cognitive deterioration and heightened neuroinflammation. The influence of Insulin-like Growth Factor 1 Receptor (IGF1R Show more
Alzheimer's Disease (AD), a progressive neurodegenerative disorder, is marked by cognitive deterioration and heightened neuroinflammation. The influence of Insulin-like Growth Factor 1 Receptor (IGF1R) and its post-translational modifications, especially sumoylation, is crucial in understanding the progression of AD and exploring novel therapeutic avenues. This study investigates the impact of exercise on the sumoylation of IGF1R and its role in ameliorating AD symptoms in APP/PS1 mice, with a specific focus on neuroinflammation and innovative therapeutic strategies. APP/PS1 mice were subjected to a regimen of moderate-intensity exercise. The investigation encompassed assessments of cognitive functions, alterations in hippocampal protein expressions, neuroinflammatory markers, and the effects of exercise on IGF1R and SUMO1 nuclear translocation. Additionally, the study evaluated the efficacy of KPT-330, a nuclear export inhibitor, as an alternative to exercise. Exercise notably enhanced cognitive functions in AD mice, possibly through modulations in hippocampal proteins, including Bcl-2 and BACE1. A decrease in neuroinflammatory markers such as IL-1β, IL-6, and TNF-α was observed, indicative of reduced neuroinflammation. Exercise modulated the nuclear translocation of SUMO1 and IGF1R in the hippocampus, thereby facilitating neuronal regeneration. Mutant IGF1R (MT IGF1R), lacking SUMO1 modification sites, showed reduced SUMOylation, leading to diminished expression of pro-inflammatory cytokines and apoptosis. KPT-330 impeded the formation of the IGF1R/RanBP2/SUMO1 complex, thereby limiting IGF1R nuclear translocation, inflammation, and neuronal apoptosis, while enhancing cognitive functions and neuron proliferation. Moderate-intensity exercise effectively mitigates AD symptoms in mice, primarily by diminishing neuroinflammation, through the reduction of IGF1R Sumoylation. KPT-330, as a potential alternative to physical exercise, enhances the neuroprotective role of IGF1R by inhibiting SUMOylation through targeting XPO1, presenting a promising therapeutic strategy for AD. Show less
📄 PDF DOI: 10.1016/j.jare.2024.03.025
BACE1
Qinfei Zhao, Weiquan Hu, Yu Xia +7 more · 2025 · Scientific reports · Nature · added 2026-04-24
Osteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, is characterized by a poor prognosis and high mortality rates. The development of reliable prognostic tool Show more
Osteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, is characterized by a poor prognosis and high mortality rates. The development of reliable prognostic tools is critical for advancing personalized treatment strategies. However, identifying robust gene signatures to predict osteosarcoma outcomes remains a significant challenge. In this study, we analyzed gene expression data from 138 osteosarcoma samples across two multicenter cohorts and identified 14 consensus prognosis-associated genes via univariate Cox regression analysis. Using 66 combinations of 10 machine learning (ML) algorithms, we developed a machine learning-derived prognostic signature (MLDPS) optimized by the average C-index across TARGET, GSE21257, and merged cohorts. The MLDPS effectively stratified osteosarcoma patients into high- and low-risk score groups, achieving strong predictive performance for 1-, 3-, and 5-year overall survival (AUC range: 0.852 - 0.963). The MLDPS, comprising seven genes (CTNNBIP1, CORT, DLX2, TERT, BBS4, SLC7A1, NKX2-3), exhibited superior predictive accuracy compared to 10 established gene signatures. The findings of the MLDPS carry significant clinical implications for osteosarcoma treatment. Patients with a high-risk score demonstrated worse prognosis, increased metastasis risk, reduced immune infiltrations, and greater sensitivity to immunotherapy. Conversely, low-risk patients exhibited prolonged survival and distinct drug sensitivities. These findings underscore the potential of MLDPS to guide risk stratification, inform personalized therapeutic strategies, and improve clinical management in osteosarcoma. Show less
📄 PDF DOI: 10.1038/s41598-025-00179-z
BBS4
Zehan Li, Huazhen Wu, Chuzhong Wei +15 more · 2025 · 3 Biotech · Springer · added 2026-04-24
By integrating single-cell and bulk RNA-sequencing data for esophageal cancer (ESCA), we developed and validated a seven-macrophage-gene prognostic signature (FCN1, SCARB2, ATF5, PHLDA2, GLIPR1, CHORD Show more
By integrating single-cell and bulk RNA-sequencing data for esophageal cancer (ESCA), we developed and validated a seven-macrophage-gene prognostic signature (FCN1, SCARB2, ATF5, PHLDA2, GLIPR1, CHORDC1, and BCKDK). This signature effectively stratified patients into high- and low-risk groups with significantly different overall survival, achieving area under the curve (AUC) values greater than 0.7 for 1-, 2-, and 3-year survival prediction. A high-risk status correlated with an immunosuppressive tumor microenvironment, characterized by lower infiltration of B cells and CD8 + T cells, and was associated with reduced sensitivity to multiple chemotherapeutic agents, including Cisplatin and 5-Fluorouracil. Conversely, a low-risk status was linked to greater immune cell infiltration and higher predicted chemosensitivity. At the single-cell level, pseudotime analysis revealed that macrophage maturation significantly correlated with a decreasing risk score, suggesting that mature macrophages may contribute to a favorable prognosis. Furthermore, cell communication analysis identified high-risk macrophages as dominant drivers of a pro-tumorigenic microenvironment via signaling pathways, such as SPP1 and complement. In conclusion, this seven-gene signature is a robust prognostic biomarker that offers a new strategy for personalized risk assessment and treatment selection in ESCA. The online version contains supplementary material available at 10.1007/s13205-025-04452-w. Show less
no PDF DOI: 10.1007/s13205-025-04452-w
BCKDK
Caifeng Shi, Xingyue Wang, Songyan Qin +16 more · 2025 · Diabetologia · Springer · added 2026-04-24
Kidney tubular cell injury is largely responsible for the pathophysiological features of diabetic kidney disease (DKD). Increased leucine levels in individuals with DKD have been associated with the p Show more
Kidney tubular cell injury is largely responsible for the pathophysiological features of diabetic kidney disease (DKD). Increased leucine levels in individuals with DKD have been associated with the progression of diabetes to end-stage renal failure, yet a comprehensive understanding of leucine metabolism in kidney tubules during the progression of DKD is lacking. Human kidney biopsies and mouse models were used to assess leucine metabolism during DKD progression. Enhancement of leucine degradation was achieved through genetic ablation or pharmacological inhibition of branched-chain ketoacid dehydrogenase kinase (BCKDK). Cultured kidney tubular epithelial cells were used to analyse the underlying cellular mechanisms. The association of urinary leucine with progression of DKD was determined in individuals with diabetes. Measurements of metabolites and enzymes suggested defective leucine degradation and increased BCKDK expression in kidney tubules during DKD progression. Enhancement of leucine degradation relieved glucose-induced metabolic remodelling in tubular cells and mitigated DKD in mouse models. Accumulation of leucine stimulated metabolic remodelling via the mTOR signalling pathway; this was relieved by blocking leucine uptake or enhancing its degradation. Restricting dietary leucine significantly decreased albuminuria, kidney hypertrophy and lipid accumulation in mouse models of diabetes. Additionally, we observed that rapid decline in kidney function correlated with a higher urinary leucine-to-creatinine ratio in both female and male individuals with diabetes. In summary, we identify defective leucine degradation in renal tubules of diabetic individuals and propose leucine as a causative factor for DKD, highlighting its potential as a therapeutic target for further investigation. The transcriptomic data supporting the findings of this study are openly available at the National Center for Biotechnology Information Sequence ReadArchive (SRA) ( https://www.ncbi.nlm.nih.gov/sra , identifiers: PRJNA1180888 and PRJNA1180923). The metabolomics data associated with the manuscript are available in the ESM. Show less
📄 PDF DOI: 10.1007/s00125-025-06519-y
BCKDK
Hao Wu, Jiajia Yang, Zixia Yang +8 more · 2025 · Cell death and differentiation · Nature · added 2026-04-24
The protein branched-chain ketoacid dehydrogenase kinase (BCKDK), which regulates the metabolism of branched-chain amino acids, has recently been implicated in tumor progression. However, the role of Show more
The protein branched-chain ketoacid dehydrogenase kinase (BCKDK), which regulates the metabolism of branched-chain amino acids, has recently been implicated in tumor progression. However, the role of BCKDK in lung cancer remains largely unexplored. In this study, we explored the mechanisms by which BCKDK influences lung cancer progression and contributes to drug resistance. By integrating single-cell RNA and bulk RNA sequencing data from lung cancer patients, we identified BCKDK as a novel gene related to malignant epithelial cells, involved in tumor initiation and associated with poor patient prognosis. Subsequently, through a series of molecular biology experiments, we demonstrated that BCKDK promotes aerobic glycolysis, Trametinib resistance, and tumor progression in lung cancer by upregulating MYC transcription. Mechanistically, BCKDK interacts with BCLAF1 to promote its phosphorylation at the serine 285 site. This modification facilitates BCLAF1 binding to the MYC promoter, thereby enhancing MYC transcription. Subsequently, elevated MYC levels upregulate hexokinase 2, promoting aerobic glycolysis and lung cancer progression. In addition, the elevated glycolysis product, lactate, promotes Trametinib resistance by upregulating the ABC transporters. Taken together, our data identify BCKDK as a novel regulator of aerobic glycolysis that promotes lung cancer progression and Trametinib resistance through the BCKDK/BCLAF1/MYC/HK2 axis. Targeting BCKDK in combination with Trametinib may offer a promising treatment for lung cancer. Graphical representation of the BCKDK/BCLAF1/MYC/HK2 axis and its role in Trametinib resistance and lung cancer progression. Created with BioRender.com. Show less
no PDF DOI: 10.1038/s41418-025-01531-6
BCKDK
Zheyi Wang, Yize Sun, Zetai Bai +3 more · 2025 · Movement disorders : official journal of the Movement Disorder Society · Wiley · added 2026-04-24
Mitochondrial dysfunction is increasingly recognized as a key factor in neurodegenerative diseases (NDDs), underscoring the therapeutic potential of targeting mitochondria-related genes. This study ai Show more
Mitochondrial dysfunction is increasingly recognized as a key factor in neurodegenerative diseases (NDDs), underscoring the therapeutic potential of targeting mitochondria-related genes. This study aimed to identify novel biomarkers and drug targets for these diseases through a comprehensive analysis that integrated genome-wide Mendelian randomization (MR) with genes associated with mitochondrial function. Using existing publicly available genome-wide association studies (GWAS) summary statistics and comprehensive data on 1136 mitochondria-related genes, we initially identified a subset of genes related to mitochondrial function that exhibited significant associations with NDDs. We then conducted colocalization and summary-data-based Mendelian randomization (SMR) analyses using expression quantitative trait loci (eQTL) to validate the causal role of these candidate genes. Additionally, we assessed the druggability of the encoded proteins to prioritize potential therapeutic targets for further exploration. Genetically predicted levels of 10 genes were found to be significantly associated with the risk of NDDs. Elevated DMPK and LACTB2 levels were associated with increased Alzheimer's disease risk. Higher expression of NDUFAF2, BCKDK, and MALSU1, along with lower TTC19, raised Parkinson's disease risk. Higher ACLY levels were associated with both amyotrophic lateral sclerosis and multiple sclerosis (MS) risks, while decreased MCL1, TOP3A, and VWA8 levels raised MS risk. These genes primarily impact mitochondrial function and energy metabolism. Notably, several druggable protein targets identified are being explored for potential NDDs treatment. This data-driven MR study demonstrated the causal role of mitochondrial dysfunction in NDDs. Additionally, this study identified candidate genes that could serve as potential pharmacological targets for the prevention and treatment of NDDs. © 2025 International Parkinson and Movement Disorder Society. Show less
no PDF DOI: 10.1002/mds.30123
BCKDK
Ming Gao, Qiongqiong Wan, Shibo Zhou +3 more · 2025 · Journal of the American Chemical Society · ACS Publications · added 2026-04-24
Protein lysine methacrylation (Kmea) is a recently identified post-translational modification whose biofunction remains poorly understood. Until now, there has been no chemical labeling method for Kme Show more
Protein lysine methacrylation (Kmea) is a recently identified post-translational modification whose biofunction remains poorly understood. Until now, there has been no chemical labeling method for Kmea modification, which has severely hindered the discovery and functional studies of methacrylated proteins. Here, we developed a photocatalytic thia-Michael reaction system for the chemoselective labeling of protein methacrylation. By exploiting the dual effect of steric hindrance and the stability of the generated C-center radical, the reaction interference of the structural isomer crotonylation can be efficiently avoided. Based on this reaction, a multifunctional water-soluble benzenethiol-azide probe azDSH was designed and synthesized, and a workflow for the specific labeling, enrichment, and identification of Kmea proteins was developed. Proteomic identification of histone and nuclear protein extracts and whole-cell lysate revealed a number of novel Kmea proteins and modification sites besides histones, such as HMGB1, TdIF2, UHRF1, HNRPD, BRWD1, TAF1, TACC1, and SETD3, providing new targets for the study of epigenetic regulation. This study provides an effective method for the analysis of protein methacrylation modifications in biological systems. Show less
no PDF DOI: 10.1021/jacs.5c13826
BRWD1
Yicun Li, Yun Wu, Xiaolian Li +4 more · 2025 · Scientific reports · Nature · added 2026-04-24
Head and neck squamous cell carcinoma (HNSCC) poses a global health challenge. The management of HNSCC is complicated by the difficulty in detecting occult lymph node metastases, leading to dilemmas i Show more
Head and neck squamous cell carcinoma (HNSCC) poses a global health challenge. The management of HNSCC is complicated by the difficulty in detecting occult lymph node metastases, leading to dilemmas in elective neck dissection decisions, which will impair patients' quality of life without improving survival for nodal negative patients. We conducted a comparative analysis of the clinical features, genomic alterations, gene expression and methylation, tumor microenvironment and cellular states between the clinically N0 and pathologically N0 (cN0-pN0) patients and occult lymph node metastatic patients. Patients with occult lymph node metastases typically present with more poorly differentiated primary tumors and higher rates of angiolymphatic and perineural invasion. We identified a distinctive genomic mutation spectrum in the primary tumors of patients with occult metastases, notably in genes such as NSD1, ARHGAP15 and SMARCA4. A whole-genome DNA hypomethylation and altered gene expression profiles are identified in occult lymph node metastatic patients. Analysis of the tumor microenvironment revealed an enrichment of CARNS1 + NK cells and CBX1 + tumor cells in occult metastatic patients. In conclusion, patients with occult lymph node metastases exhibit distinct molecular and clinical features compared with cN0-pN0 patients. Show less
📄 PDF DOI: 10.1038/s41598-025-10320-7
CBX1
Yusong Han, Jia Chen, Shan Feng +1 more · 2025 · Organic & biomolecular chemistry · Royal Society of Chemistry · added 2026-04-24
Cyclic peptides exhibit important biological activities and are widely found in natural products and peptide-based drugs. Therefore, the development of synthesis methods for cyclic peptides is essenti Show more
Cyclic peptides exhibit important biological activities and are widely found in natural products and peptide-based drugs. Therefore, the development of synthesis methods for cyclic peptides is essential. In recent years, tryptophan-mediated cyclic peptides have emerged as bioactive molecules, but current methods require unique unnatural amino acids and transition metals as catalysts. Our group recently reported a tryptophan site-selective crosslinking in the protein binding pocket by sulfonium peptide Show less
no PDF DOI: 10.1039/d5ob00776c
CBX1
Huimin Yu, Shihong Li, Jian Wu +1 more · 2025 · Frontiers in genetics · Frontiers · added 2026-04-24
Breast cancer (BC) is one of the most prevalent malignant diseases affecting women. Cytochrome c (Cyt c) plays a critical role in various pathological processes, however, its precise mechanism in BC r Show more
Breast cancer (BC) is one of the most prevalent malignant diseases affecting women. Cytochrome c (Cyt c) plays a critical role in various pathological processes, however, its precise mechanism in BC remains unclear. This study aimed to identify prognostic genes linked to Cyt c in BC and explore their underlying mechanisms. Transcriptome data related to BC were initially obtained from TCGA and GEO database. Prognostic genes were identified through differential expression analysis, univariate Cox regression, and LASSO analysis. A risk model was subsequently developed and validated. Additionally, enrichment analysis, immune microenvironment analysis, and the construction of a TFs-mRNA network were conducted. Finally, the expression levels of prognostic genes were examined in both tumor and normal tissue samples, with confirmation through RT-qPCR. Eight prognostic genes ( Show less
📄 PDF DOI: 10.3389/fgene.2025.1627134
CETP
Huijing Shao, Chang Xu, Caihong Zhang +4 more · 2025 · International journal of women's health · added 2026-04-24
Dyslipidemia is linked to pregnancy complications, but its causal role remains uncertain. This two-sample Mendelian Randomization (MR) study investigated the causal relationship between lipid traits a Show more
Dyslipidemia is linked to pregnancy complications, but its causal role remains uncertain. This two-sample Mendelian Randomization (MR) study investigated the causal relationship between lipid traits and pregnancy complications and evaluated the impact of lipid-modifying drug targets. Genetic instruments for lipid traits and targets for lipid-modifying drugs were obtained from the Global Lipids Genetics Consortium. Three pregnancy complications' summary statistics came from the FinnGen R9 database. Significant drug targets underwent further analysis using Expression Quantitative Trait Loci data, and mediation analysis identified potential mediators. Increased high-density lipoprotein cholesterol (HDL-C) reduced the incidence of preeclampsia (OR: 0.755, 95% CI: 0.639-0.891, p=0.001, FDR=0.012) and gestational diabetes mellitus (GDM) (OR: 0.835, 95% CI: 0.741-0.942, p=0.003, FDR=0.018). Genetic proxies for cholesteryl ester transfer protein ( Elevated HDL-C levels help prevent preeclampsia and GDM. Show less
📄 PDF DOI: 10.2147/IJWH.S496268
CETP
Wenhui Hu, Han Feng, Ying Liu +8 more · 2025 · Human vaccines & immunotherapeutics · Taylor & Francis · added 2026-04-24
Cholesteryl ester transfer protein (CETP) plays a key role in lipoprotein metabolism, and its activity has been linked to the risk of atherosclerosis (AS). CETP inhibitors, such as obicetrapib, repres Show more
Cholesteryl ester transfer protein (CETP) plays a key role in lipoprotein metabolism, and its activity has been linked to the risk of atherosclerosis (AS). CETP inhibitors, such as obicetrapib, represent a novel approach in immunotherapy to reduce the risk of atherosclerotic cardiovascular disease (ASCVD) by targeting lipid metabolism. In addition, CETP vaccines are being explored as a novel strategy for the prevention and treatment of ASCVD by inducing the body to produce antibodies against CETP, which is expected to reduce CETP activity, thereby increasing high-density lipoproteins (HDL) levels. This paper provides a comprehensive overview of the structure of CETP, the mechanisms of lipid transfer and the progress of immunotherapy in the last decade, which provides possible ideas for future development of novel drugs and optimization of immunization strategies. Show less
📄 PDF DOI: 10.1080/21645515.2025.2462466
CETP
Mei Wu, Qiannan Lin, Siyu Li +2 more · 2025 · Heliyon · Elsevier · added 2026-04-24
Observational studies suggest that blood lipids are a risk factor for uterine fibroids (UFs) and that lipid-lowering drugs are beneficial for the treatment and prevention of UF; however, the conclusio Show more
Observational studies suggest that blood lipids are a risk factor for uterine fibroids (UFs) and that lipid-lowering drugs are beneficial for the treatment and prevention of UF; however, the conclusions are inconsistent. We aimed to determine the causal effects of lipids and lipid-lowering drugs on UFs using Mendelian randomization (MR). Genetic variants from genome-wide association studies (GWAS) of lipid traits and variants in genes encoding lipid-lowering drug targets were extracted, and two independent UF GWAS were set as the outcome. Their effects on UF risk and related traits were estimated using the inverse variance weighted method. The MR analysis revealed that high density lipoprotein cholesterol (HDL-C, OR = 0.88, 95 % CI: 0.83-0.93, P = 3.58E-6) and triglycerides (TG, OR = 1.14, 95 % CI: 1.07-1.21, P = 6.83E-5) were protective factors and risk factors for UF, respectively. Drug-targeted MR analysis results indicated that genetically predicted inhibition of cholesteryl ester transfer protein (CETP) was associated with a lower UF risk (OR = 0.95, 95 % CI: 0.92-0.98, P = 7.83E-4), as well as reduced levels or risk of other UF-associated clinical traits, including estradiol level, excessive menstruation, abdominal and pelvic pain, myomectomy, and miscarriage. Our study provides evidence that HDL-C and TG levels were causally associated with UF risk. Genetically proxied CETP inhibition may have a protective effect against UF, which warrants further investigation. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e41539
CETP
Jingbo Ma, Xuejuan Zi, Shuo Wu +6 more · 2025 · Bioresource technology · Elsevier · added 2026-04-24
A meta-analysis was conducted to assess the effects of citric acid (CA) on silage fermentation, and then used whole-plant cassava silage as a model to explore the underlying microbiological mechanisms Show more
A meta-analysis was conducted to assess the effects of citric acid (CA) on silage fermentation, and then used whole-plant cassava silage as a model to explore the underlying microbiological mechanisms with metagenomic and metabolomic data. The meta-analysis revealed that CA supplementation increased the dry matter, crude protein, water-soluble carbohydrate, and lactic acid contents in silage, but decreased the pH, dry matter loss, and the contents of fiber, NH Show less
no PDF DOI: 10.1016/j.biortech.2025.133025
CPS1
Stuti Bakshi, Taryn Diep, Brandon J Willis +13 more · 2025 · Disease models & mechanisms · added 2026-04-24
Carbamoyl phosphate synthetase 1 (CPS1) deficiency is a rare metabolic disorder that, in neonatal onset, is typically characterized by severe life-threatening and neurologically injuring hyperammonemi Show more
Carbamoyl phosphate synthetase 1 (CPS1) deficiency is a rare metabolic disorder that, in neonatal onset, is typically characterized by severe life-threatening and neurologically injuring hyperammonemic episodes with high unmet patient need. Patients that retain limited enzyme activity may present later in life with less severe hyperammonemia. CPS1 drives the first step in the urea cycle, the pathway terrestrial mammals utilize to metabolize nitrogen. In order to probe the effect of hyperammonemia on the developing nervous system and explore new therapies, a murine Cps1 exon 3-4 mutant was previously generated. However, these mice die within 24 h of birth, limiting study capabilities. Herein, we developed a novel Cps1 hypomorphic murine model with residual enzyme activity that maintains survival, but with dysfunction of Cps1 that could be detected biochemically. Characterization, based on the orthologous human variant Asn674Ile, revealed that the variant is reproducible, 100% penetrant and biochemically phenocopies the human disorder. The hypomorph presents with elevated ammonia and glutamate, and reduced citrulline, and with an impaired rate of ureagenesis, providing a novel platform to study and develop therapies for CPS1 deficiency. Show less
📄 PDF DOI: 10.1242/dmm.052303
CPS1
Yohan Jung, Harmony Grainger, Shizhuo Yang +4 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
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📄 PDF DOI: 10.3389/fimmu.2025.1632283
DHX36
Qiong-Wen Lu, Shao-Yuan Liu, Xiu-Quan Liao +6 more · 2025 · Nucleic acids research · Oxford University Press · added 2026-04-24
Oocyte maturation-coupled mRNA post-transcriptional regulation is essential for the establishment of developmental potential. Previously, oocyte mRNA translation efficiencies focused on the trans-regu Show more
Oocyte maturation-coupled mRNA post-transcriptional regulation is essential for the establishment of developmental potential. Previously, oocyte mRNA translation efficiencies focused on the trans-regulation of key RNA-binding protein (RBPs), rarely related to RNA structure. RNA G-quadruplexes (rG4s) are four-stranded RNA secondary structures involved in many different aspects of RNA metabolism. In this study, we have developed a low-input technique for rG4 detection (G4-LACE-seq) in mouse oocytes and found that rG4s were widely distributed in maternal transcripts, with enrichment in untranslated regions, and they underwent transcriptome-wide removal during meiotic maturation. The rG4-selective small-molecule ligand BYBX stabilized rG4s in the oocyte transcriptome and impaired spindle assembly and meiotic cell cycle progression. The proteomic spectrum results revealed that rG4 accumulation weakened the binding of a large number of RBPs to mRNAs, especially those associated with translational initiation. Ribosomal immunoprecipitation and translational reporter assays further proved that rG4s in the untranslated regions negatively affected the translational efficiency of key maternal mRNAs. Overexpression DEAH/RHA family helicase-36 partially reverses BYBX-induced oocyte developmental defects, suggesting its importance in rG4 regulation. Collectively, this study describes the distribution, dynamic changes, and regulation of rG4s in the mouse maternal transcriptome. Before meiosis resumption, a large number of rG4s in oocytes are necessary to maintain the translatome at a low level, and DHX36-mediated rG4 removal promotes a translational switch and is required for successful maternal-to-zygotic transition. Show less
📄 PDF DOI: 10.1093/nar/gkaf067
DHX36
Qianqian Wang, Peize Chen, Xiaorong Wang +9 more · 2025 · Non-coding RNA research · Elsevier · added 2026-04-24
[This corrects the article DOI: 10.1016/j.ncrna.2022.12.004.].
no PDF DOI: 10.1016/j.ncrna.2025.02.002
DHX36
Yu-Xuan Jiao, Guo-Wei Bu, Yun-Wen Wu +6 more · 2025 · Science bulletin · Elsevier · added 2026-04-24
DHX36 plays a crucial role in regulating transcriptional and post-transcriptional processes through its interaction with G-quadruplexes (G4s). The mechanisms by which DHX36 regulates G4s vary across d Show more
DHX36 plays a crucial role in regulating transcriptional and post-transcriptional processes through its interaction with G-quadruplexes (G4s). The mechanisms by which DHX36 regulates G4s vary across different cell types and physiological conditions. Oocyte-specific conditional knockout (CKO) mice were utilized to study the impact of DHX36 deficiency on female fertility. The results show that the CKO mice exhibit severely impaired hormone response, ovulation, and complete infertility. The CKO germinal vesicle (GV) oocytes display large nucleoli, aberrant chromatin configuration, decreased chromatin accessibility, disturbed transcriptome, and inhibited meiosis progression. Following fertilization, the embryos derived from the CKO oocytes arrest at the zygote or 2-cell stage. Notably, we observed inadequate rRNA transcription in growing GV oocytes, as well as insufficient pre-rRNA processing and translation activity in fully-grown GV oocytes. Using a G4 probe and antibody, we found increased G4s formation at the chromatin and cytoplasm of CKO GV oocytes; these G4s mainly originate from the rDNA and pre-rRNA. Furthermore, the distribution of DHX36 was found to be spatiotemporally synchronized with that of pre-rRNA and G4s in early mouse embryos. In vitro experiments confirmed that DHX36 directly binds with pre-rRNA through the RHAU-specific motif (RSM). Overexpression of DHX36 could partially alleviate the pre-rRNA accumulation in fully-grown CKO oocytes. In conclusion, this study highlights the physiological significance of DHX36 in maintaining female fertility, underscoring its critical role in rRNA homeostasis and chromatin configuration through G4-unwinding mechanism in mouse oocytes. Show less
no PDF DOI: 10.1016/j.scib.2025.02.017
DHX36
Xuan Tie, Zhiang Chen, Shulei Yao +6 more · 2025 · Frontiers in bioscience (Landmark edition) · added 2026-04-24
Primary membranous nephropathy (pMN) often progresses to end-stage renal disease (ESRD) in the absence of immunosuppressive therapy. The immunological mechanisms driving pMN progression remain insuffi Show more
Primary membranous nephropathy (pMN) often progresses to end-stage renal disease (ESRD) in the absence of immunosuppressive therapy. The immunological mechanisms driving pMN progression remain insufficiently understood. We developed a single-cell transcriptomic profile of peripheral blood mononuclear cells (PBMCs) from 11 newly-diagnosed pMN patients and 5 healthy donors. Through correlation analysis, we identified potential biomarkers for disease stratification and poor prognosis. Expression levels of several proinflammatory factors were significantly increased in patients compared to healthy donors, such as interleukins ( Our study provides insight into the immunological mechanism of pMN and identifies numerous biomarkers and signaling pathways as potential therapeutic targets for managing the progression of high-risk pMN. Show less
no PDF DOI: 10.31083/FBL36332
DHX36
Wenna Liu, Shengchao Ma, Qingwei Lu +7 more · 2025 · Biology · MDPI · added 2026-04-24
Reproductive and growth traits are key economic traits in sheep. This study aims to identify key single nucleotide polymorphisms (SNPs) and candidate genes associated with reproductive and growth trai Show more
Reproductive and growth traits are key economic traits in sheep. This study aims to identify key single nucleotide polymorphisms (SNPs) and candidate genes associated with reproductive and growth traits in Tianmu polytocous sheep through a genome-wide association study (GWAS). The findings are expected to provide both a theoretical foundation for molecular breeding in this breed and novel insights into the genetic basis of ovine reproductive and growth performance. This study took 483 adult Tianmu polytocous ewes as the research subjects, collected their lambing records, measured their phenotypic values of growth traits (3 weight and 11 body size traits), and collected their blood samples for whole-genome resequencing to identify SNPs in the Tianmu polytocous sheep genome. The results identified a total of 9,499,019 (3× coverage) and 27,413,216 (30× coverage) high-quality SNPs in the Tianmu polytocous sheep genome. Subsequently, the association analysis between SNPs and reproductive and growth traits was conducted using a mixed linear model. A total of 92, 66, 18, 28, 6, 42, 3, 3, 6, 1, 12, 3, 22, 8, 6, and 3 SNPs were found associated with litter size at first parity, litter size at second parity, litter size at third parity, litter size at fourth parity, birth weight, weaning weight, body height, withers height, body length, head length, head width, cannon bone circumference, forelimb height, chest girth, chest depth, and withers width, respectively. Further, based on SNP annotation, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, candidate genes associated with the reproductive and growth traits were identified. Among these genes, 11 Show less
📄 PDF DOI: 10.3390/biology14101446
DLG2
L Zhang, Z Huang, M Luo +5 more · 2025 · British poultry science · Taylor & Francis · added 2026-04-24
1. Copy number variation (CNV) is an important source for identifying genetic differences. This study compared the genome-wide CNV and their regions (CNVR) across 16 Chinese local duck breeds and dete Show more
1. Copy number variation (CNV) is an important source for identifying genetic differences. This study compared the genome-wide CNV and their regions (CNVR) across 16 Chinese local duck breeds and detected key genes and pathways involved in growth and reproduction-related traits using this dataset.2. Breakdancer, Pindel and CNVnator were used to detect reliable CNV, and HandyCNV was used to obtain CNVR. Selection signatures were analysed in meat (MD) and egg-laying ducks (ED) compared to wild ducks (WD) using fixation and differentiation index DIsv methods. A Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was carried out to identify key pathways and related genes.3. Principal component analysis (PCA) using CNV data clustered 127 ducks into 4 populations: WD, MD, ED and meat+egg-type ducks (MED). In total, 237,630 CNV and 6,176 CNVR were detected across these samples. Intersection analysis identified 1,384 common CNVR and 2,105 unique CNVR. The KEGG analysis showed that common CNVR were enriched in 7 basic life activity pathways, while unique CNVR were enriched in 9 population-specific pathways. Compared to WD, MD selection signatures were found in 4 enriched pathways and 8 genes ( Show less
no PDF DOI: 10.1080/00071668.2025.2559392
DLG2
HanYu Zhu, Zhaoyang Wu, Junxiao Wang +8 more · 2025 · Schizophrenia research · Elsevier · added 2026-04-24
Schizophrenia (SZ) is a severe mental disorder with high heritability. DLG2 encodes the postsynaptic scaffolding protein DLG2 (PSD93, Postsynaptic Density Protein 93), and its variants were associated Show more
Schizophrenia (SZ) is a severe mental disorder with high heritability. DLG2 encodes the postsynaptic scaffolding protein DLG2 (PSD93, Postsynaptic Density Protein 93), and its variants were associated with an increased risk of SZ. However, the role of DLG2 locus variation in SZ remains elusive. This study aims to investigate the association between DLG2 gene polymorphisms and SZ susceptibility and the relationship between DLG2 and altered brain function and clinical symptoms in SZ patients. Single nucleotide polymorphisms (SNPs) rs11607886 and rs7479949 were genotyped in 350 SZ patients and 407 healthy controls (HCs). 47 SZ patients and 79 HCs were genotyped into two groups: the risk A allele carrier group and the GG-pure group. Functional magnetic resonance imaging (fMRI) indices were further analyzed. Subsequently, data from different brain regions were correlated with clinical symptom assessment. DLG2 rs11607886 was significantly associated with SZ. Significant main effects were found in the ALFF and ReHo, especially for the left precuneus gyrus (PCu). A significant interaction between genotype and diagnosis had a significant effect on FC, which was increased between the left PCu and the right middle temporal gyrus in carriers of the A allele with SZ (r = -0.336, P The rs11607886 polymorphism in DLG2 may influence the pathogenesis of SZ and have potential effects on cognitive function. The present study emphasizes DLG2 as a candidate gene for SZ and suggests an important role for PCu in SZ. Show less
no PDF DOI: 10.1016/j.schres.2025.04.004
DLG2
Bing-Hua Su, Chung-Teng Wang, Chia-Sing Lu +11 more · 2025 · Journal of Cancer · added 2026-04-24
The roles of cancer stem cells and Octamer-binding transcription factor 4 (OCT4) have been implicated in human tumorigenesis and metastasis. However, the role of OCT4 in the metastasis of non-small-ce Show more
The roles of cancer stem cells and Octamer-binding transcription factor 4 (OCT4) have been implicated in human tumorigenesis and metastasis. However, the role of OCT4 in the metastasis of non-small-cell lung cancer (NSCLC) remains undetermined, especially regarding stem cell-related pathways. Previous research has reported that dual-specificity phosphatase 6 (DUSP6), a mitogen-activated protein kinase (MAPK) phosphatase, is associated with cancer cells that display anti-apoptotic, migratory, and drug-resistance phenotypes. However, the regulation of DUSP6 in NSCLC is unclear. This study focused on the role of OCT4 in NSCLC, particularly its interaction with DUSP6. Here, we show a positive correlation between OCT4 and DUSP6 expression in NSCLC cells. Overexpression of OCT4 increased, whereas knockdown of OCT4 reduced DUSP6 expression. Luciferase reporter and chromatin immunoprecipitation (ChIP) assays revealed that OCT4 transactivated DUSP6 expression by directly binding to the DUSP6 promoter, indicating that DUSP6 is a downstream target of OCT4. Furthermore, knockdown of DUSP6 in OCT4-overexpressing A549 human NSCLC cells decreased cell migration Show less
📄 PDF DOI: 10.7150/jca.108663
DUSP6