👤 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, Zixiang Wu, Zhongwei Wu, D P Wu, Haiping Wu, Geyan Wu, Qi-Zhu Wu, Jianjin Wu, Su Wu, Shwu-Yuan Wu, Xiaodi Wu, Changxin Wu, Kuen-Phon Wu, Guofeng Wu, Zhiping Wu, Xiaojun Wu, Qibing Wu, Xiaoting Wu, Cheng-Hsin Wu, Junhua Wu, Wenze Wu, Yandi Wu, Hong Wu, Zhong Wu, An-Chih Wu, Jianhui Wu, Xiaoke Wu, Zhenguo Wu, Jason H Y Wu, Bing-Bing Wu, Selena Meiyun Wu, Yi-Mi Wu, M Wu, Hui-Mei Wu, Danni Wu, Sijie Wu, Minqing Wu, Geng-ze Wu, Kun Wu, Cheng-Hua Wu, Shaofei Wu, Zhaoyang Wu, Qihan Wu, Kunling Wu, R Ryanne Wu, Hao Wu, Pei Wu, Mingxuan Wu, Wendy Wu, Yukang Wu, Douglas C Wu, Jingtao Wu, Guizhen Wu, Zhangjie Wu, Lili Wu, Jianwu Wu, Min-Jiao Wu, Biaoliang Wu, Huan Wu, Shengxi Wu, Fei-Fei Wu, Peih-Shan Wu, Guoqing Wu, Yu-Yuan Wu, Pei-Yu Wu, Geting Wu, Lun-Gang Wu, Jing Wu, Dongzhe Wu, G Wu, Junlong Wu, Jia-Jun Wu, Jiangyue Wu, Muzhou Wu, Ray-Chin Wu, Jian-Qiu Wu, Junzhu 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, Bian Wu, Limeng Wu, Jason Wu, Zhibing Wu, Shuying Wu, Caihong Wu, Naqiong Wu, Huating Wu, Joseph C Wu, Tianhao Wu, Zhi-Hong Wu, Congying Wu, Gaojun Wu, Chiao-En Wu, Dongping Wu, Li Wu, Haixia Wu, Yihang Wu, Shaoxuan Wu, Fanchang Wu, Gen Wu, Xiaorong Wu, Mei Wu, Mingjie Wu, Jiahao Wu, Jiapei Wu, Lingqian Wu, Jia Wu, Fangge Wu, Sen-Chao Wu, Yanhui Wu, Zhiqiang Wu, Sarah Wu, Shugeng Wu, Xuanqin Wu, Dongmei Wu, Caiwen Wu, Junjing Wu, Jiangdong Wu, Guihua Wu, Meini Wu, Yingbiao Wu, Rui Wu, Hua-Yu Wu, Bifeng Wu, Jingwan Wu, Lingling Wu, Xinmiao Wu, Junzheng Wu, Yi-Fang Wu, Yuyi Wu, Qinglin Wu, Yixuan Wu, Leilei Wu, Bin Wu, Tianqi Wu, Hui-Chen Wu, Shiya Wu, Jian Wu, Sijun Wu, Cong Wu, Yiwen Wu, Feng Wu, Xi-Ze Wu, Qiuji Wu, Alexander T H Wu, Semon Wu, Qinan Wu, Lai Man Natalie Wu, Zhuokai Wu, Panyun Wu, Ran Wu, Kui Wu, Yumei Wu, Xinrui Wu, Biwei Wu, Yueling Wu, Xing Wu, Jiayi Wu, Hua Wu, Yuen-Jung Wu, Bingjie Wu, Xiaoliang Wu, Matthew A Wu, Jin Wu, Juanjuan Wu, Qiuhong Wu, Xiaoming Wu, Hongfu Wu, Ming-Sian Wu, Ronghua Wu, Junduo Wu, Dandan Wu, Yuliang Wu, Ming-Shiang Wu, Ying-Ying Wu, Chaoling Wu, Guang-Liang Wu, De Wu, Yuanyuan Wu, Tsung-Jui Wu, Yihua Wu, Han Wu, Yulian Wu, Lipeng Wu, Zhihao Wu, Jiexi Wu, Anna H Wu, Huazhen Wu, Qiu Wu, Yaqin Wu, Shengru Wu, Chieh-Lin Stanley Wu, Xiaoqian Wu, Xiahui Wu, Jianli Wu, Yun-Wen Wu, Jian-Yi Wu, Qiuya Wu, Tsai-Kun Wu, Xinyin Wu, Guoyao Wu, Zhenfeng Wu, Guoli Wu, Bill X Wu, J W Wu, Zujun Wu, Jianliang Wu, Yuanshun Wu, Ling-Ying Wu, Zeng-An Wu, Xue Wu, Jianrong Wu, Ke Wu, Mengxue Wu, Cheng-Yang Wu, Jinghong Wu, Rongrong Wu, Ruolan Wu, Rong Wu, Kevin Zl Wu, Run Wu, Xiaohong Wu, Zaihao Wu, Chaowei Wu, Yu-Ke Wu, Xinjing Wu, Anyue Wu, Yun Wu, Xuan Wu, Meili Wu, Shu Wu, Wanxia 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, Changjie Wu, Sai Wu, Jiawei Wu, Yujuan Wu, Haoze Wu, Renlv Wu, Xiaoyang Wu, Yipeng Wu, Yuh-Lin Wu, Yu'e Wu, An-Hua Wu, Dan-Chun Wu, Meng-Chao Wu, Yuanhao Wu, Jer-Yuarn Wu, Qian-Yan Wu, Guangyan Wu, Huisheng Wu, Huijuan Wu, Shuting Wu, Long-Jun Wu, Alice Ying-Jung Wu, Xiru Wu, Lidi Wu, Zhenfang Wu, Yetong Wu, Disheng Wu, Linmei Wu, Huiwen Wu, Zhenzhou Wu, Yuhong Wu, Liang Wu, Liyan Wu, Kuan-Li Wu, Pei-Ting Wu, Xiao-Jin Wu, Lifeng Wu, Terence Wu, Shujuan Wu, Gang Wu, Xue-Mei Wu, Szu-Hsien Wu, Yan-ling Wu, 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, Zoe Wu, Hongting 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, Fenfang Wu, Wenhui Wu, K S Wu, Nana Wu, Jianzhi Wu, Lin-Han Wu, Jinjun Wu, Zhen Wu, Chen-Lu Wu, Jing-Fang Wu, Haiyan Wu, Yihui Wu, Qiqing Wu, Dai-Chao Wu, Zhengzhi Wu, Zhenyan Wu, Wen-Jeng Wu, Guanming Wu, Yongqun Wu, Sean M Wu, Hei-Man Wu, Su-Hui Wu, Diana H Wu, Ben J Wu, Pingxian Wu, Chew-Wun Wu, Yillin Wu, Jiang-Bo Wu, Xiaobing Wu, Jerry Wu, Siming Wu, Zijun Wu, Daqing Wu, Yu-Hsuan Wu, Lichao Wu, Zhimin Wu, Daxian Wu, Qijing Wu, Zhaoyi Wu, Z Wu, Tong Wu, Cheng-Chun Wu, Tracy Wu, Shusheng Wu, D Wu, Ting-Ting Wu, Xiao-Yan Wu, Lan Wu, J Wu, Changchen Wu, Qi-Fang Wu, Changwei Wu, Liangyan Wu, Liufeng 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, Junfei Wu, Qiuchen Wu, Xiao-Hui Wu, Xiaofeng Wu, Wenda Wu, Linyu Wu, Yung-Fu Wu, Mengbo Wu, Zhenling Wu, Maoqing Wu, Zuping Wu, Julian Wu, Chun-Chieh Wu, Xiaohui Wu, Binbin 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, Hongyu Wu, Yurong 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, Ting-Feng Wu, Shixin Wu, Yawei Wu, Jiarui Wu, Hong-Mei Wu, Xiaojin Wu, Yiqun Wu, Tsung-Teh 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, Yi-Ying Wu, Zhentian Wu, Ze Wu, Kai-Hong Wu, Yuting Wu, Minyao Wu, Xueyan Wu, Shinan Wu, Feifei Wu, Yonghui Wu, Haoxuan Wu, Yanzhi Wu, Yiyi Wu, Dong Wu, Guohao Wu, Wenjing Wu, Shibo Wu, Wenqian Wu, Tian Wu, Tiantian Wu, Hai-Yan Wu, Chong Wu, Hongxian Wu, Daoyuan Wu, Zongfu Wu, Ling Wu, Yuxiang Wu, Xilong Wu, Yuyu Wu, Fengming Wu, Huijian Wu, Zong-Jia Wu, Guorong Wu, Chuanhong Wu, Choufei Wu, Chi-Chung Wu, Junfang Wu, Xingwei Wu, Ling-Fei Wu, Xiaoqing Wu, Xinyang Wu, Xiaomin Wu, Yili Wu, Hong-Fu Wu, Shao-Ming Wu, Thomas D Wu, Lizhen Wu, Yuanming Wu, Hsien-Ming Wu, Jian Hui Wu, Litong Wu, Yuxian Wu, Weihua Wu, Lei Wu, C Wu, Wei Wu, Yu-E Wu, Qiulian Wu, Mei-Hwan Wu, Yuexiu Wu, Shaoze Wu, Zilong Wu, Chi-Hao Wu, Baojin Wu, Chao Wu, Yao Wu, Ya Wu, Do-Bo Wu, Wenjun Wu, Zhongren Wu, Nini Wu, Michael C Wu, Ning Wu, Ming J Wu, Jie Wu, Yi-Syuan Wu, Limei Wu, Zhenzhen Wu, Tianwen Wu, Wen-Chieh Wu, Shunan Wu, Yunhua Wu, Junfeng Wu, Junqi Wu, Jianing Wu, Honglin Wu, Maureen Wu, Yexiang Wu, Yan-Hua Wu, Mengjun Wu, Y H Wu, Mingxing Wu, Liuying Wu, Suhua Wu, Xiaomeng Wu, Shyh-Jong Wu, Tung-Ho Wu, Wenxian Wu, Hongliang Wu, Xuekun Wu, Ed Xuekui Wu, Wenqiang Wu, Chuang Wu, Jingyi Wu, Duojiao Wu, Xueyuan Wu, Ji-Zhou Wu, Lianqian Wu, Gaige Wu, Qing-Qian Wu, Haihu Wu, Xiushan Wu, Xueyao Wu, Tingchun Wu, Yafei Wu, Lingxi Wu, R-J Wu, Weidong Wu, Re-Wen Wu, Zhidan Wu, Peiyao Wu, Xuemei Wu, Chen Wu, Yiting Wu, Kerui Wu, Lihong Wu, Shiqi Wu, Liren Wu, Xiuhua Wu, Beili Wu, Yongqi Wu, Ruihong Wu, Huini Wu, Guang-Long Wu, Lingyun Wu, Po-Chang Wu, Wenxue Wu, Qinghua Wu, Ru-Zi Wu, Changjing Wu, Wenlin Wu, Xiexing Wu, J Y Wu, Jianping Wu, Guanggeng Wu, W J Wu, Zhichong Wu, Di Wu, Shaoyu Wu, Xiaotong Wu, Junyong Wu, Hui Wu, Shengde Wu, Hongyan Wu, Mengyuan Wu, Yutong Wu, Zheming Wu, Yiping Wu, Wen-Hui Wu, Guiping 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, Ming-Der Wu, Jia-En Wu, Guo-Chao Wu, Weida Wu, Qi-Jun Wu, Zhenyong Wu, Qi-Biao Wu, Yangfeng Wu, Lijie Wu, Zhiye Wu, Jihui Wu, Qianqian Wu, JieQian Wu, Zhengliang L Wu, Jingyun Wu, Xiaoman Wu, Ruohao Wu, Yiyang Wu, Zhengfeng Wu, Xiao-Jun Wu, Lizi Wu, Qiang Wu, J-Z Wu, Guangjie Wu, Pengfei Wu, Jundong Wu, Meng-Ling Wu, Beier Wu, Jianying Wu, Lingxiang Wu, Jamie L Y Wu, Keija Wu, Xilin Wu, Yanhua Wu, An-Li Wu, Yi-Ming Wu, Chengbiao Wu, Huanghui Wu, Dong-Feng Wu, Kunsheng Wu, Zhengcan Wu, Yuxin Wu, Kun-Rong Wu, Dong-Fang Wu, Guanxian Wu, Guifen Wu, Sensen Wu, Yifeng Wu, Pin Wu, Tzu-Chun 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, Jianguang Wu, An-Xin Wu, Xingjie Wu, Jianzhang Wu, Xianan Wu, Wei-Ping Wu, Haoan Wu, Fang-Tzu Wu, Wenwen Wu, Zhongjun Wu, Xi Wu, Teng Wu, Xiaoling Wu, Mengjuan Wu, Wen Wu, Yifan Wu, Yang Wu, Qianhu Wu, 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, Siqi Wu, Yuming Wu, Yuan Wu, Yu-Ting Wu, I H Wu, Hailong Wu, Minghua 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, Man-Jing Wu, Chih-Ching Wu, Jun Wu, Jinhui Wu, Jincheng Wu, Linhong Wu, Hung-Tsung Wu, Tangchun Wu, Xinglong Wu, Zhen-Yang Wu, Ma Wu, Yin Wu, Jiu-Lin Wu, Dongyan Wu, Yong Wu, Yan Wu, Weizhen Wu, Changyu Wu, Fanggeng Wu, Dishan Wu, Yue Wu, Yi-Long Wu, Ge-ru Wu, Jinqiao Wu, Jing-Wen Wu, Zhongyang Wu, Lifang Wu, Songfen Wu, Sheng-Li Wu, Jia-Wei Wu, Kebang Wu, Yihan Wu, Wenyong Wu, Cai-Qin Wu, Yilong Wu, Yanan Wu, Hsiu-Chuan Wu, Xueqian Wu, Yen-Wen Wu, Paul W Wu, Xing-De Wu, Ying-Ting Wu, Yucan Wu, Mingfu Wu, Na-Qiong Wu, Jinze Wu, Linzhi Wu, Xuhan Wu, H J Wu, Ruize Wu, Dirong Wu, Yaohong Wu, Chung-Yi 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, Yupeng Wu, Haoming Wu, Samuel M Wu, Fan Wu, Yuesheng Wu, Yihe Wu, Tiange Wu, Shuang Wu, Jiayu Wu, Chia-Lung Wu, Shengnan Wu, Yaojiong Wu, Zhuoze Wu, Y Y Wu, Y Wu, Zimu Wu, Depei Wu, Yi-Hua Wu, Haiyun Wu, Yanyan 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, San-pin Wu, Cheng-Jun Wu, Xiaofan Wu, Xiwei Wu, Shi-Xin Wu, Shao-Guo Wu, Sunyi Wu, Yueheng Wu, Chengqian Wu, Kuixian Wu, Xin-Xi Wu, Guanyi Wu, Qiuxia Wu, Danhong Wu, He Wu, Siyi Wu, Zhong-Jun Wu, Xiangsheng Wu, Lanxiang Wu, Kaili Wu, Liting Wu, Ping-Hsun Wu, Zheng Wu, Wen-Ling Wu, Jiang-Nan Wu, Huanlin Wu, Yongfei Wu, Catherine A Wu, Leslie Wu, Shuo Wu, Peng-Fei Wu, Meng-Han Wu, Cho-Kai Wu, Hon-Yen Wu, Anguo Wu, Yuguang Philip Wu, Hai-Yin Wu, Yicheng Wu, Xiaolang Wu, Qing Wu, Yujie 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, Joshua L Wu, Mei-Na Wu, Jin-Shang Wu, Guanzhao Wu, Jianqiang Wu, Runda Wu, Li-Hsien Wu, June-Hsieh Wu, Rongjie Wu, Huazhang Wu, Huanwen Wu, Xiu-Zhi Wu, Yanran Wu, Xianfeng Wu, Weibin Wu, Xuanshuang Wu, Yan Yan Wu, G X Wu, Runpei Wu, Jiaqi Wu, Chien-Ting Wu, Li-Na Wu, Qinfeng Wu, Chia-Chang Wu, Yueming Wu, Renhai Wu, Siyu Wu, Baojian Wu, Yi-Xia Wu, Wei-Yin Wu, Renrong 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, Mengchao Wu, Weijun Wu, Boquan Wu, Chunyan Wu, Zelai Wu, Pei-Wen Wu, Guojun Wu, Yichen Wu, Ming-Tao Wu, Hsueh-Erh Wu, Guang-Bo Wu, Chia-Zhen Wu, Zhi-Yong 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, Guanrong Wu, Xianpei Wu, Jianmin Wu, An-Dong Wu, Yanchun Wu, Dongsheng Wu, Ren-Chin Wu, Yuchen Wu, Mengna Wu, Lijun Wu, Zhuanbin Wu, Yanjing Wu, Lun Wu, Haodi Wu, Si-Jia Wu, Yongfa Wu, Ximei Wu, Hai-Ping Wu, Wenyu Wu, Xiangping Wu, L-F Wu, Yixia Wu, Yiran Wu, Haiying Wu, Yanhong Wu, Xiayin Wu, Yushun Wu, Yali Wu, Qin Wu, Xiaofu Wu, Qitian Wu, Jiamei Wu, Xiaoyong Wu, Qiong Wu, 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, Yingzhi Wu, Kejia Wu, Lecheng Wu, Anyi Wu, Junshu Wu, Jianxin Wu, Deguang Wu, Jiaxuan Wu, W Wu, Justin C Y Wu, Jiong Wu, Yu-Chih Wu, Qinglan Wu, Xinyi Wu, Diana Wu, Zhongluan Wu, Xuefen Wu, Yanqiong Wu, Shengming Wu, Jian-Lin Wu, Donglin Wu, Daren Wu, Lintao Wu, Xiaodong Wu, Chang-Jiun Wu, Irene X Y Wu, Chunshuai Wu, Yaping Wu, Xiping Wu, Yangna Wu, Zongheng Wu, Chia-Chen Wu, Wenyi Wu, Yansheng Wu, Aimin Wu, Shaojun Wu, Caisheng Wu, Xu Wu, Zhongchan Wu, Fei Wu, Yaohua Wu, Qinyi Wu, Yibo Wu, Zhengyu Wu, Yadi Wu, Hang Wu, L Wu, Mingjun Wu, Yuetong Wu, Wen-Juan Wu, Guangming Wu, Lingzhi Wu, Tingting Wu, Zhong-Yan Wu, Zhuzhu Wu, Yuanbing 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
Jiaying Liu, Xu Dong, Yanghui Xiang +8 more · 2025 · Microbiology spectrum · added 2026-04-24
For the first time,
📄 PDF DOI: 10.1128/spectrum.02770-24
ANGPTL4
Dou Yin, Nana Fang, Yaling Zhu +8 more · 2025 · Journal of experimental & clinical cancer research : CR · BioMed Central · added 2026-04-24
The adipocyte-rich tumor microenvironment (TME) is recognized as a key factor in promoting cancer progression. A distinct characteristic of peritumoral adipocytes is their reduced lipid content and th Show more
The adipocyte-rich tumor microenvironment (TME) is recognized as a key factor in promoting cancer progression. A distinct characteristic of peritumoral adipocytes is their reduced lipid content and the acquisition of a proinflammatory phenotype. However, the underlying mechanisms by which adipocytes rewire metabolism and boost tumor progression in triple-negative breast cancer (TNBC) remain poorly understood. We utilized transcriptomic analysis, bioinformatic analysis, metabolic flux analysis, protein-protein docking, gene and protein expression profiling, in vivo metastasis analysis and breast cancer specimens to explore how adipocytes reprogram tumor metabolism and progression in TNBC. Our findings reveal that Angiopoietin-like 4 (ANGPTL4) exhibits significantly higher expression levels in adipocyte-rich tumor circumstance compared to the symbiotic environment lacking of adipocyte. Furthermore, ANGPTL4 expression in tumor cells is essential for adipocyte-driven glycolysis and metastasis. Interleukin 6 (IL-6), enriched in cancer-associated adipocytes, and lipolysis-derived free fatty acids (FFAs) released from adipocytes, amplify ANGPTL4-mediated glycolysis and metastasis through activation of STAT3 and PPARα pathways in TNBC cells. Additionally, ANGPTL4 interacts with transcription factor KLF4 and enhances KLF4 activity, which further drives glycolysis and metastasis, whereas KLF4 knockdown attenuates migration and glycolysis in TNBC cells. Importantly, Elevated ANGPTL4 and KLF4 expression was observed in metastatic breast cancer specimens compared to non-metastatic cases and was positively correlated with poor prognosis. Collectively, our results uncover a complex metabolic interaction between adipocytes and TNBC cells that promotes tumor aggressiveness. ANGPTL4 emerges as a key mediator in this process, making it a promising therapeutic target to inhibit TNBC progression. Show less
📄 PDF DOI: 10.1186/s13046-025-03458-9
ANGPTL4
Yuwei Bai, Jianglong Li, Xueqian Wu +8 more · 2025 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Hyperlipidemia is a common metabolic disorder and a risk factor for cardiovascular disease. The traditional medicine herb, Hippophae rhamnoides L., known as sea buckthorn, has anti-obesity and lipid-l Show more
Hyperlipidemia is a common metabolic disorder and a risk factor for cardiovascular disease. The traditional medicine herb, Hippophae rhamnoides L., known as sea buckthorn, has anti-obesity and lipid-lowering effects, while Silybum marianum (L.) Gaertn, known as milk thistle, has hepatoprotective properties and exhibits antioxidant effects. To evaluate the effect of sea buckthorn and milk thistle solid beverage (H-S solid beverage) in alleviating hyperlipidemia in rats and explore the underlying mechanisms by analyzing plasma and liver metabolomics, lipidomics, and liver transcriptomics. A hyperlipidemic rat model was established after 2 weeks of high-fat diet (HFD) feeding in Sprague Dawley rats. The administered doses of H-S solid beverage were 0.30 g/kg/d, 0.15 g/kg/d and 0.075 g/kg/d. Serum biochemical parameter detection, histopathological section analysis, untargeted plasma and liver metabolomics, lipidomics, and liver transcriptomics were performed to determine the therapeutic effects of H-S solid beverage and predict the related pathways in rats with hyperlipidemia. Changes in genes and proteins related to lipid metabolism were detected using real-time quantitative polymerase chain reaction and western blotting. Eighty-nine components were identified in H-S solid beverage using ultra-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry, with flavonoids being the major constituents. The H-S solid beverage significantly reduced body weight, liver index, body fat percentage, lipid accumulation, and liver injury in HFD-fed rats. Fatty acids (FA), bile acid, phosphatidyl ethanolamine, phosphatidylcholine, triglyceride, cholesterol ester, diglyceride and phosphatidylinositol levels were significantly altered in the liver and plasma. Moreover, the transcriptomic analysis suggested that H-S solid beverage significantly altered the hepatic gene expression of cholesterol synthesis (Pdk4, Hmgcs1, and Dhcr24), lipogenesis (Scd, Angptl4, and Angptl8), and FA β-oxidation (Cpt1α, Pparδ, Acsl, Pgc-1α, and Pla2g2d). The solid beverage of sea buckthorn and milk thistle was firstly demonstrated to ameliorate HFD-induced hyperlipidemia. The lipid-lowering and hepatoprotective effects of H-S solid beverage significantly regulated cholesterol synthesis and de novo lipogenesis, as well as FA β-oxidation. In summary, this study highlights the potential of H-S solid beverages for the treatment of hyperlipidemia. Show less
no PDF DOI: 10.1016/j.phymed.2025.156920
ANGPTL4
Shenghui Zhou, Beibei Bi, Ze Wu +4 more · 2025 · Placenta · Elsevier · added 2026-04-24
Proper regulation of extravillous trophoblast (EVT) cell invasion is critical for normal placental development and function. Angiopoietin-like 4 (ANGPTL4), a multifunctional protein, has previously be Show more
Proper regulation of extravillous trophoblast (EVT) cell invasion is critical for normal placental development and function. Angiopoietin-like 4 (ANGPTL4), a multifunctional protein, has previously been implicated in promoting EVT cell invasion. Growth differentiation factor-8 (GDF-8), a member of the transforming growth factor-β (TGF-β) superfamily, also stimulates EVT cell invasion. However, it remains unclear whether GDF-8 regulates ANGPTL4 expression and how this regulation contributes to the invasive behavior of human EVT cells. This study aims to explore the role of ANGPTL4 in GDF-8-induced EVT cell invasion and to uncover the underlying molecular mechanisms. The immortalized EVT cell line HTR-8/SVneo and primary human EVT cells were used as in vitro models. The effects of GDF-8 on ANGPTL4 expression and the underlying signaling mechanisms were investigated using RT-qPCR and Western blot analysis. Cell viability was assessed using the MTT assay, and cell invasiveness was examined using a Matrigel-coated transwell invasion assay. Our results demonstrated that GDF-8 increased ANGPTL4 expression. Mechanistically, we found that activin receptor-like kinases 4 and 5 (ALK4 and ALK5) were required for GDF-8-mediated upregulation of ANGPTL4. Additionally, both SMAD2 and SMAD3 were involved in this regulatory pathway. We further showed that GDF-8 treatment promoted cell invasion without affecting cell viability. The pro-invasive effect of GDF-8 was attenuated by ANGPTL4 knockdown, whereas ANGPTL4 overexpression alone enhanced cell invasiveness. This study reveals a novel role for GDF-8 in regulating ANGPTL4 expression and EVT cell invasion, offering new insights into placental development and potential implications for pregnancy-related disorders. Show less
no PDF DOI: 10.1016/j.placenta.2025.05.021
ANGPTL4
Zi-Yao Xia, Ke Xu, Wei-Jia Zhang +6 more · 2025 · International journal of ophthalmology · added 2026-04-24
To investigate the role of adipokines in primary open angle glaucoma (POAG) by comparing the levels of these molecules in the aqueous humor among POAG patients and cataract patients with or without me Show more
To investigate the role of adipokines in primary open angle glaucoma (POAG) by comparing the levels of these molecules in the aqueous humor among POAG patients and cataract patients with or without metabolic disorders. In this cross-sectional study, aqueous humor samples of 22 eyes of POAG patients (POAG group), 24 eyes of cataract patients without metabolic disorders (cataract group), and 24 eyes of cataract patients with metabolic disorders (cataract+metabolic disorders group) were assessed for 15 adipokines by Luminex bead-based multiplex array. The correlation between aqueous humor adipokines and clinical indicators of POAG was analyzed and compared across the groups. The analysis revealed that the levels of adiponectin, leptin, adipsin, retinol-binding protein 4 (RBP4), angiopoietin-2, angiopoietin-like protein 4 (ANGPTL4), chemokine (C-C motif) ligand 2 (CCL2), interleukin-8 (IL-8), and interleukin-18 (IL-18) in the aqueous humor of the POAG group were significantly higher than those in the cataract group. Additionally, the level of angiopoietin-2 in the POAG group was higher than in the cataract+metabolic disorders group. However, no significant correlation was found between the levels of adipokines in the POAG group and intraocular pressure (IOP), severity of POAG, or the use of glaucoma medications. This study demonstrates significant differences in aqueous humor adipokine levels between POAG and cataract patients. The findings suggest that the levels of aqueous humor adipokines may reflect the inflammatory states in POAG and systemic metabolic abnormalities. Show less
no PDF DOI: 10.18240/ijo.2025.04.07
ANGPTL4
Quanzhong Liu, Miao Yu, Zihan Lin +9 more · 2025 · Cancer letters · Elsevier · added 2026-04-24
Gastric cancer (GC) is an aggressive and heterogeneous disease with poor survival outcomes. The progression of GC involves complex, multi-step processes. Endothelial cells (ECs) play a crucial role in Show more
Gastric cancer (GC) is an aggressive and heterogeneous disease with poor survival outcomes. The progression of GC involves complex, multi-step processes. Endothelial cells (ECs) play a crucial role in tumor angiogenesis, proliferation, invasion, and metastasis, particularly through the process of endothelial-to-mesenchymal transition (EndoMT). However, the specific role and mechanisms of EndoMT in gastric cancer remain unclear. Based on 6 GC single-cell RNA-sequencing (scRNA-seq) cohorts (samples = 97), we established an EndoMT-related gene signature, termed EdMTS. Leveraging this gene signature, ssGSEA was applied to calculate sample scores across multiple bulk RNA-seq datasets, which include information on immunotherapy, metastasis, GC progression, and survival. Moreover, we applied the Monocle2 method to calculate cell pseudotime and used CellChat to analyze interactions between malignant and EC cells. We verified the molecular mechanism by multiple immunofluorescence and cell function experiments. Findings In this study, we established a single-cell atlas of ECs in GC and identified a subpopulation of COL1A1 Show less
no PDF DOI: 10.1016/j.canlet.2025.217731
ANGPTL4
Xinghua Wu, Kai Lin, Chen Gao +4 more · 2025 · European journal of histochemistry : EJH · added 2026-04-24
In recent years, accumulating evidence has highlighted the critical role of miR-627-5p in the occurrence and progression of various cancers. However, its specific role and mechanism in cervical cancer Show more
In recent years, accumulating evidence has highlighted the critical role of miR-627-5p in the occurrence and progression of various cancers. However, its specific role and mechanism in cervical cancer (CC) remain unclear. This study aimed to elucidate the mechanism by which miR-627-5p inhibits the malignant progression of CC and assess its potential clinical implications. In C33A cells, the mRNA expression levels of ANGPTL4 and miR-627-5p were analyzed using qRT-PCR. The miR-627-5p mimics and their control (miR-NC) were transfected into C33A cells to determine whether miR-627-5p directly regulates ANGPTL4 expression. A comprehensive suite of assays, including CCK-8, migration, transwell, flow cytometry, and Western blotting, was conducted to evaluate how miR-627-5p modulates the malignant biological behavior of CC cells. Rescue experiments were performed by overexpressing ANGPTL4. In C33A cells, miR-627-5p expression was reduced, whereas ANGPTL4 expression was elevated. Further analysis confirmed that miR-627-5p negatively regulates ANGPTL4 by directly targeting its 3'-UTR. Functional assays demonstrated that miR-627-5p inhibits proliferation, invasion, migration, and epithelial-mesenchymal transition (EMT) while promoting apoptosis and S-phase arrest in C33A cells, effects that were reversed by ANGPTL4 overexpression. These findings highlight the potential of miR-627-5p as both a biomarker and a therapeutic target for CC. By inhibiting EMT and regulating ANGPTL4 expression, miR-627-5p may provide a novel avenue for improving therapeutic strategies, particularly in advanced or metastatic CC. Moreover, miRNA-based therapies, supported by advanced delivery systems such as nanoparticle carriers, could enhance the stability and precision of miR-627-5p applications. This study lays the groundwork for future research integrating miR-627-5p into precision medicine approaches for CC treatment. Show less
📄 PDF DOI: 10.4081/ejh.2025.4161
ANGPTL4
Liuzheng Li, Tong Wu, Guocha Gong +5 more · 2025 · BMC cancer · BioMed Central · added 2026-04-24
NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains unchara Show more
NDRG1, a cell differentiation-associated factor, has recently emerged as a regulator ferroptosis. Nevertheless, its role in modulating ferroptosis within hepatocellular carcinoma (HCC) remains uncharacterized. The differential expression of NDRG1 and its prognostic value were analyzed in HCC using data from TCGA and GEO. Ferroptosis in HepG2 and Huh7 cells was assessed using flow cytometry, transmission electron microscopy, and propidium iodide staining following NDRG1 knockdown using shRNA. RNA-seq was performed to characterize the mRNA expression profiles in HepG2 cells, identifying differentially expressed mRNAs (DE-mRNAs) and NDRG1-related hub genes. NDRG1 was overexpressed in multiple malignant tumors, including HCC, and was associated with a significantly poor prognosis in HCC patients. A nomogram model integrating NDRG1 expression and clinical parameters demonstrated robust prognostic accuracy. NDRG1 knockdown potentiated erastin-induced alterations in Fe NDRG1 exhibits strong predictive value for HCC, and accelerates tumor progression by suppressing ferroptosis. Show less
📄 PDF DOI: 10.1186/s12885-025-13954-y
ANGPTL4
Weifeng Huang, Liqing Jiang, Yingsong Jiang +6 more · 2025 · Scientific reports · Nature · added 2026-04-24
Acute rejection (AR) is a significant complication in liver transplantation, impacting graft function and patient survival. Kupffer cells (KCs), liver-specific macrophages, can polarize into pro-infla Show more
Acute rejection (AR) is a significant complication in liver transplantation, impacting graft function and patient survival. Kupffer cells (KCs), liver-specific macrophages, can polarize into pro-inflammatory M1 or anti-inflammatory M2 phenotypes, both of which critically influence AR outcomes. Angiopoietin-like 4 (ANGPTL4), a secretory protein, is recognized for its function in regulating inflammation and macrophage polarization. This study investigates the effects of ANGPTL4 on KC polarization through cellular interactions between hepatocytes (HCs) and KCs. Using a rat orthotopic liver transplantation model, we observed reduced ANGPTL4 expression during AR, whereas increased ANGPTL4 levels were linked to immune tolerance. Administration of ANGPTL4 recombinant protein improved liver function, suppressed inflammation, and promoted M2 polarization of KCs. Co-culture experiments demonstrated that hepatocyte-derived ANGPTL4 significantly modulates KC polarization and inflammatory responses, mainly by inhibiting the NF-κB signaling pathway. The results emphasize the promise of ANGPTL4 as a therapeutic target to reduce AR and improve liver transplant outcomes by influencing hepatocyte-KC interactions. Show less
📄 PDF DOI: 10.1038/s41598-024-81832-x
ANGPTL4
Yanyan Zhang, Muzi Li, Zongyun Li +6 more · 2025 · Biomolecules · MDPI · added 2026-04-24
This study evaluated the protective effects of naringin (NG) against intestinal injury in 7-day-old piglets infected with porcine epidemic diarrhea virus (PEDV). Eighteen piglets (Duroc × Landrace × L Show more
This study evaluated the protective effects of naringin (NG) against intestinal injury in 7-day-old piglets infected with porcine epidemic diarrhea virus (PEDV). Eighteen piglets (Duroc × Landrace × Large, body weight = 2.58 ± 0.05 kg) were divided into three treatment groups based on similar body weights and equal numbers of males and females: the blank control group (CON group), the PEDV infection group (PEDV group), and the NG intervention + PEDV infection group (NG + PEDV group) ( Show less
📄 PDF DOI: 10.3390/biom16010048
APOA4
Tong Chen, Jiawei Zhou, Mengfan Li +9 more · 2025 · BMC genomics · BioMed Central · added 2026-04-24
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still uncl Show more
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still unclear. This study integrated proteomics and lactylation profiles from the longissimus thoracis (LT) muscles of pigs with extremely high (IMF_H) and extremely low (IMF_L) IMF content to clarify the association between lactylation and porcine fat deposition. Furthermore, an intramuscular preadipocyte induction and differentiation model was conducted to elucidate the changes in lactylation during adipocyte differentiation. Finally, the regulatory role of lactylation in adipocyte differentiation was explored by modulating lactate production during the induction and differentiation of preadipocytes. Proteomic analysis revealed significantly increased expression of key lipid metabolism related proteins (FASN, APOA4, FABP4, ACLY, PLIN1) in IMF_H pig muscle tissues compared with IMF_L tissues, along with substantial activation of lipid metabolism pathways. Lactylation profiling identified 95 differential lysine sites across 56 proteins, with most showing lower lactylation levels in the IMF_H group. The integrative omics analysis revealed differences in lactylation profiles in porcine LT tissues with varying efficiencies of IMF deposition, highlighted PGK1, PKM, and PYGM as central lactylation-modified proteins in porcine fat deposition regulation. Further in vitro study proved that lactate-mediated lactylation inhibited adipogenic differentiation of porcine intramuscular preadipocytes through PPARγ signaling pathway. This study clarified the changes in the lactylation profile in porcine LT tissues with varying efficiencies of IMF deposition, and demonstrated that lactate-mediated lactylation inhibits the PPARγ signaling pathway and the adipogenic differentiation of porcine intramuscular preadipocyte. This study provided a new insight to understanding the epigenetic regulation mechanisms of lipid deposition in pigs. Show less
📄 PDF DOI: 10.1186/s12864-025-12428-6
APOA4
Jia-Ling Yang, Long-Huw Lee, Hsing-Chieh Wu +3 more · 2025 · Developmental and comparative immunology · Elsevier · added 2026-04-24
The seven-transmembrane (7TM) receptors are the largest superfamily of cell-surface receptors and are involved in various physiological processes of vertebrate species. In our previous study, a new ch Show more
The seven-transmembrane (7TM) receptors are the largest superfamily of cell-surface receptors and are involved in various physiological processes of vertebrate species. In our previous study, a new chicken 7TM receptor (Ch-7TM) was discovered in mononuclear phagocytes (MNPs) derived from chicken peripheral blood mononuclear cells (PBMCs). To explore the functions of Ch-7TM, RNA interference (RNAi) was used to silence the Ch-7TM messenger RNA (mRNA) of MNPs, using small interfering RNA (siRNA) designed with BLOCK-iT™ RNAi Designer. Herein we demonstrated that silencing of the Ch-7TM mRNA induced apoptosis of MNPs, suggesting that Ch-7TM contributed to the survival of MNPs. Moreover, chicken sera could inhibit the Ch-7TM-silencing-induced apoptosis in MNPs. The survival factor presented in fraction 16 (F16) of chicken sera was highly protective against the Ch-7TM-silencing-induced apoptosis in MNPs. The proteins from F16 were identified as vitamin D-binding protein (DBP) and apolipoprotein A-IV (ApoA-IV), which might be potential candidates for survival factors. The protective effect of vitamin D and ApoA-IV indicated that Ch-7TM might involve the intracellular oxidation-reduction balance, although more evidence is needed to confirm this function. The siRNA screening serves as an excellent model for studying the functions of chicken MNPs receptors. Show less
no PDF DOI: 10.1016/j.dci.2025.105423
APOA4
Zhanyi Yang, Jiaai Xu, Xiaoyu Yang +9 more · 2025 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
The dysregulation of hepatic lipid metabolism is closely associated with dyslipidemia. Previous research suggested that Hepatic Data regarding circulating lipid traits and hepatic Hepatic This study i Show more
The dysregulation of hepatic lipid metabolism is closely associated with dyslipidemia. Previous research suggested that Hepatic Data regarding circulating lipid traits and hepatic Hepatic This study identifies Show less
📄 PDF DOI: 10.3389/fcvm.2025.1570729
APOA4
Yang Zhang, Wen Liu, Dayong Liu +5 more · 2025 · Discover oncology · Springer · added 2026-04-24
As the most common primary malignant bone tumor, further investigation into risk stratification for osteosarcoma (OS) prognosis is of significant clinical importance. Copper is essential for bone meta Show more
As the most common primary malignant bone tumor, further investigation into risk stratification for osteosarcoma (OS) prognosis is of significant clinical importance. Copper is essential for bone metabolism; however, its specific role in OS remains unclear. The expression characteristics of copper metabolism related genes (CORGs) in OS were revealed by single cell sequencing. Prognosis-associated CORGs were identified, and a CORG-related scoring system and risk model were established using bioinformatics approaches, including univariate and multivariate Cox regression analyses and LASSO analysis. We further analyzed immune microenvironment infiltration, molecular subtypes and clinicopathological characteristics. The impact of selected CORG with high-risk coefficient on OS cells was tested by qRT-PCR, western blot, siRNA, colony formation analysis and Transwell in vitro. We successfully developed an OS scoring system related to copper metabolism and validated its independent prognostic value in patients with OS. The potential clinical value of CORG scoring system was analyzed. APOA4 was selected for in vitro experiments and its effect on the proliferation and invasion ability of OS cells was verified. We established a copper metabolism-related scoring system to effectively stratify the risk of OS patients. Our results provide a new basis for the role of copper metabolism in OS and provide new potential targets for the treatment of OS. Show less
📄 PDF DOI: 10.1007/s12672-025-02273-0
APOA4
Xiaoguang Ji, Wenfei Tong, Xiangxue Sun +5 more · 2025 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The aim of the present study was to investigate the dietary effects of replacing corn with different proportions of fermented straw on the growth performance and intestinal health of finishing pigs. A Show more
The aim of the present study was to investigate the dietary effects of replacing corn with different proportions of fermented straw on the growth performance and intestinal health of finishing pigs. A total of 275 healthy commercial finishing pigs aged 126 days (average body weight, 82.96 ± 3.07 kg) were randomly allocated into three groups: the control (CTR, basal diet) group, the 5% fermented straw (FJJG5, replacing 5% of the corn) group, and the 10% fermented straw (FJJG10, replacing 10% of the corn) group. There were six replicates in each group and 14-16 pigs per replicate. On day 39 of the experiment, one animal from each replicate was slaughtered for sampling and for further analysis. The results showed that the finishing pigs in the FJJG10 group had a reduced average daily weight gain and an increased feed-to-gain ratio. The FJJG5 group had reduced total cholesterol, high-density lipoprotein, and low-density lipoprotein in their serum, while the FJJG5 and FJJG10 groups had reduced contents of lactate dehydrogenase. In addition, the FJJG5 group exhibited increased T-SOD activity and MDA content in the colon, while the FJJG10 group also showed increased T-AOC activity in their serum and increased contents of MDA in the colon. The FJJG5 group exhibited increased activities of jejunal disaccharidase and lipase, while the FJJG10 group exhibited decreased jejunal crypt depths. Moreover, the FJJG5 group presented an increased relative expression of Show less
📄 PDF DOI: 10.3390/ani15030459
APOA4
Yaozhong Liu, Huilun Wang, Minzhi Yu +19 more · 2025 · Circulation · added 2026-04-24
Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains unclear and contr Show more
Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains unclear and controversial. Mendelian randomization was applied to assess causal relationships between lipoproteins, circulating proteins, metabolites, and the risk of AAA. To test the hypothesis that elevated plasma TG levels accelerate AAA development, we used Mendelian randomization analyses integrating genetic, proteomic, and metabolomic data identified causal relationships between elevated TG-rich lipoproteins, TG metabolism-related proteins/metabolites, and AAA risk. In the angiotensin II infusion AAA model, most These findings identify hypertriglyceridemia as a key contributor to AAA pathogenesis and suggest that targeting TG-rich lipoproteins may be a promising therapeutic strategy for AAA. Show less
📄 PDF DOI: 10.1161/CIRCULATIONAHA.125.074737
APOA5
Lingyan Li, Xingjie Wu, Qianqian Guo +9 more · 2025 · Journal of pharmaceutical analysis · Elsevier · added 2026-04-24
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, over Show more
Cholesterol (CH) plays a crucial role in enhancing the membrane stability of drug delivery systems (DDS). However, its association with conditions such as hyperlipidemia often leads to criticism, overshadowing its influence on the biological effects of formulations. In this study, we reevaluated the delivery effect of CH using widely applied lipid microspheres (LM) as a model DDS. We conducted comprehensive investigations into the impact of CH on the distribution, cell uptake, and protein corona (PC) of LM at sites of cardiovascular inflammatory injury. The results demonstrated that moderate CH promoted the accumulation of LM at inflamed cardiac and vascular sites without exacerbating damage while partially mitigating pathological damage. Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. Network pharmacology and molecular docking analyses revealed that CH depended on LM and exerted its biological effects by modulating peroxisome proliferator-activated receptor gamma (PPAR-γ) expression in vascular endothelial cells and estrogen receptor alpha (ERα) protein levels in myocardial cells, thereby enhancing LM uptake at cardiovascular inflammation sites. Proteomics analysis unveiled a serum adsorption pattern for CH@LM under inflammatory conditions showing significant adsorption with CH metabolism-related apolipoprotein family members such as apolipoprotein A-V (Apoa5); this may be a major contributing factor to their prolonged circulation Show less
📄 PDF DOI: 10.1016/j.jpha.2024.101182
APOA5
Yaozhong Liu, Huilun Wang, Minzhi Yu +19 more · 2025 · medRxiv : the preprint server for health sciences · Cold Spring Harbor Laboratory · added 2026-04-24
Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease without effective medications. This study integrated genetic, proteomic, and metabolomic data to identify causation between incre Show more
Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease without effective medications. This study integrated genetic, proteomic, and metabolomic data to identify causation between increased triglyceride (TG)-rich lipoproteins and AAA risk. Three hypertriglyceridemia mouse models were employed to test the hypothesis that increased plasma TG concentrations accelerate AAA development and rupture. In the angiotensin II-infusion AAA model, most Show less
no PDF DOI: 10.1101/2024.08.07.24311621
APOA5
Ziyi Pan, Xuewen Li, Dongsheng Wu +3 more · 2025 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Lipid overaccumulation in the liver predisposes ducks to metabolic disorders. The molecular mechanism of oleic acid (OA)-induced hepatic steatosis in ducks is not fully elucidated. A cellular model of Show more
Lipid overaccumulation in the liver predisposes ducks to metabolic disorders. The molecular mechanism of oleic acid (OA)-induced hepatic steatosis in ducks is not fully elucidated. A cellular model of steatosis was established by treating primary duck hepatocytes with OA. Transcriptome sequencing was performed to identify key signaling pathways and candidate genes. The role of Apolipoprotein A1 (APOA1) was investigated through overexpression and knockdown experiments. Intracellular triglycerides (TGs) were quantified commercially; lipid droplets were visualized by Oil Red O staining. Intracellular TG accumulation was induced by OA treatment in a dose-dependent manner. Through transcriptome analysis, 1045 differentially expressed genes (DEGs) were identified, with APOA1 being recognized as a key candidate within the peroxisome proliferator-activated receptor (PPAR) signaling pathway. The content of TGs and lipid droplets was increased by APOA1 overexpression, whereas these effects were suppressed by APOA1 knockdown. The expression of acetyl-CoA carboxylase alpha (ACACA) and fatty acid synthase (FASN) was upregulated by APOA1. Conversely, the expression of carnitine O-palmitoyltransferase 1 (CPT1), acyl-CoA oxidase 1 (ACOX1), and apolipoprotein B (APOB) was downregulated. This study demonstrates that OA upregulates APOA1, suggesting the involvement of the PPAR pathway and providing a theoretical basis for modulating hepatic fat deposition. Show less
📄 PDF DOI: 10.3390/ani15243603
APOB
Wandi Ma, Linbo Guan, Xinghui Liu +5 more · 2025 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Dyslipidemia and oxidative stress are key components in the pathophysiology of gestational diabetes mellitus (GDM), yet the contribution of genetic factors to these metabolic disturbances remains uncl Show more
Dyslipidemia and oxidative stress are key components in the pathophysiology of gestational diabetes mellitus (GDM), yet the contribution of genetic factors to these metabolic disturbances remains unclear. This study aimed to investigate the relationship between two lipid-related genetic polymorphisms, apolipoprotein C1 (apoC1) gene -317H1/H2 (rs1568822) and rs4420638, with GDM risk and lipid profiles and oxidative stress markers in Chinese populations. The apoC1 -317H1/H2 and rs4420638 polymorphisms were genotyped in 734 GDM patients and 1,102 control subjects. Genetic association with GDM risk and related traits were also analyzed. The distribution of genotype and allele in both polymorphisms were similar between the two groups. However, the combined H1H1/AG+GG genotype was significantly more frequent in women with GDM than in the control group. GDM patients who carried H1H1/AG+GG genotype were 1.97-fold increased risk to develop GDM (95% CI: 1.140-3.414, ApoC1 gene polymorphisms associate with GDM risk and affect the lipid profile. The combined H1H1/AG+GG genotype of the apoC1 gene polymorphisms appears to augment the propensity to develop GDM, while the rs4420638 polymorphism links to adverse lipid components in the patients. Further genetic studies to add information beyond the traditional risk factors in GDM and to identify risk genotypes will help in early prediction and identification of at-risk patients. Show less
📄 PDF DOI: 10.3389/fendo.2025.1681268
APOB
Lijia Zhao, Jie Meng, Jingjing Li +5 more · 2025 · Nutrition reviews · Oxford University Press · added 2026-04-24
Dipeptidyl peptidase-4 inhibitors (DPP-4i) serve as an incretin-based hypoglycemic class for the treatment of type 2 diabetes (T2D). DPP-4i have been reported to produce a pleiotropic effect on lipid Show more
Dipeptidyl peptidase-4 inhibitors (DPP-4i) serve as an incretin-based hypoglycemic class for the treatment of type 2 diabetes (T2D). DPP-4i have been reported to produce a pleiotropic effect on lipid profiles in addition to regulation of glucose homeostasis. The aim of this systematic review and meta-analysis was to quantitatively evaluate the impact of DPP-4i on lipid parameters in patients with T2D. PubMed, Embase, and The Cochrane Library were systematically searched for randomized controlled trials. Trials were identified if changes in lipid parameters, including low-density-lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), high-density-lipoprotein cholesterol (HDL-C), non-HDL-C, and apolipoprotein B (ApoB) were reported. A total of 95 publications were identified. DPP-4i significantly reduced levels of LDL-C (-3.48 mg/dL; 95% CI, -4.77 to -2.20; I2 = 70%, P < .00001), TC (-2.59 mg/dL; 95% CI, -3.88 to -1.29; I2 = 73%, P < .0001), TG (-5.39 mg/dL; 95% CI, -8.04 to -2.75; I2 = 77%, P < .0001), and non-HDL-C (-6.27 mg/dL; 95% CI, -10.94 to -1.60; I2 = 53%, P = .008). No significant effect was found on HDL-C (-0.32 mg/dL; 95% CI, -1.19 to 0.55; I2 = 97%, P = .47) and ApoB (-0.88 mg/dL; 95% CI, -3.36 to 1.60; I2 = 36%, P = .49) during DPP-4i treatment. DDP-4i significantly improved lipid parameters including LDL-C, TC, TG, and non-HDL-C in patients with T2D. This underscores the potential cardiovascular benefits of DPP-4i and their role in improving diabetes-related outcomes. PROSPERO registration no. CRD42020175999. Show less
no PDF DOI: 10.1093/nutrit/nuaf209
APOB
Fangbo Hu, Rongjie Wu, Xu Zhao +5 more · 2025 · Translational stroke research · Springer · added 2026-04-24
Mendelian randomization studies have identified that apolipoprotein B (ApoB) is the primary genetic determinant of ischemic stroke, rather than other lipid markers. However, its association with recur Show more
Mendelian randomization studies have identified that apolipoprotein B (ApoB) is the primary genetic determinant of ischemic stroke, rather than other lipid markers. However, its association with recurrent non-cardioembolic acute ischemic stroke (NCAIS) remains unclear. This study aimed to investigate this association. This study recruited 578 patients with acute ischemic stroke, excluding those with cardiogenic embolism. After a 3-year follow-up, a total of 428 patients completed the prospective cohort study. A Cox regression model was used to evaluate the association between ApoB levels at admission and the recurrence rate. Additionally, a nested case-control study was conducted by comparing blood samples collected at the time of recurrence from recurrent patients with those from non-recurrent patients. Binary logistic regression and ROC analysis were used to assess the association between serum ApoB, low-density lipoprotein cholesterol (LDL-C), and recurrent stroke at the time of recurrence. The Cox regression model demonstrated that ApoB levels at admission were independently associated with an increased risk of recurrent NCAIS (HR=6.697; 95%CI 2.581-17.374, P < 0.001). Recurrent stroke patients had significantly higher serum ApoB levels at admission than non-recurrent ones [0.85 g/L (IQR 0.21) vs. 0.63 g/L (IQR 0.15)]. In ROC analysis, ApoB (AUC = 0.732) showed a greater discriminatory ability for recurrent stroke than LDL-C (AUC = 0.685). Higher serum ApoB levels increased the risk of recurrence in patients with NCAIS, and ApoB demonstrated better discriminatory ability than LDL-C after therapy. These findings suggest that routine ApoB measurement may help improve secondary stroke risk assessment. Show less
📄 PDF DOI: 10.1007/s12975-025-01367-9
APOB
Qing-Wu Wu, Shi-Li Gu, Yang-Yang Chen +4 more · 2025 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Postmenopausal women are at elevated risk for osteoporosis and dysregulated lipid metabolism. While the relationship between conventional lipid markers and bone mineral density (BMD) remains controver Show more
Postmenopausal women are at elevated risk for osteoporosis and dysregulated lipid metabolism. While the relationship between conventional lipid markers and bone mineral density (BMD) remains controversial, the association between apolipoprotein B-100 (ApoB-100) (an established independent predictor of atherosclerosis) and bone metabolism in postmenopausal women remains poorly understood. This study investigated the relationship between ApoB-100 and lumbar BMD in postmenopausal women, with specific focus on potential inflammatory and platelet-mediated pathways. We conducted a cross-sectional study of 1,429 postmenopausal women who underwent health screening at the First Affiliated Hospital of Xinxiang Medical University between January 2022 and December 2024. ApoB-100 levels were measured by immunoturbidimetry, and lumbar BMD was assessed using low-dose chest CT imaging. Participants were stratified into tertiles based on ApoB-100 levels. We employed univariate and multivariate regression analyses to evaluate the relationship between lumbar BMD and ApoB-100. Generalized additive models with smooth curve fitting were used to characterize the linear relationship. Subgroup analyses assessed the consistency of associations across different populations, while mediation models quantified the intermediary roles of the neutrophil-to-lymphocyte ratio (NLR) and platelet count. After multivariate adjustment, ApoB-100 demonstrated a significant independent negative correlation with lumbar BMD (β=-6.37, 95%CI: -9.26 to -3.49). This association was more pronounced in women younger than 60 years (β=-10.18, 95%CI: -13.94 to -6.42), those with BMI≥28kg/m² (β=-10.73, 95%CI: -15.31 to -0.86), and those without hypertension (β=-7.3, 95%CI: -10.42 to -4.19). Mediation analysis revealed that NLR accounted for 8.17% of the negative association between ApoB-100 and lumbar BMD, while platelet count showed a suppressive indirect association (20.60%). ApoB-100 exhibits an independent negative association with lumbar BMD in postmenopausal women, partially mediated through inflammatory and platelet pathways. These findings support the potential utility of ApoB-100 as a biomarker for osteoporosis risk assessment in postmenopausal women, particularly within specific high-risk subgroups. Show less
📄 PDF DOI: 10.3389/fendo.2025.1667161
APOB
Duanlu Hou, Yuanyuan Wang, Shuang Zhai +3 more · 2025 · BMC neurology · BioMed Central · added 2026-04-24
The clinical significance and contribution of the lipid profile in atherosclerosis are well established. However, further investigation is needed in stroke patients, particularly regarding apolipoprot Show more
The clinical significance and contribution of the lipid profile in atherosclerosis are well established. However, further investigation is needed in stroke patients, particularly regarding apolipoprotein B100 (ApoB100), a novel non-traditional lipid component in the lipid profile. To explore lipid parameters and their impact on stroke outcomes in patients with and without thrombolysis. We prospectively enrolled patients with acute ischemic stroke (AIS) at a single center, including those who did and did not receive thrombolysis. Participants were stratified into improvement (favorable outcome at 2 weeks) and non-improvement groups. Demographic, laboratory, imaging, and clinical scale data were compared between groups. Random forest analyses were used to evaluate the predictive value and importance of individual lipid measures: triglycerides, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), ApoB100, and lipoprotein(a), which better describe the internal characteristics of the profile. Complete data were available for 262 AIS patients, 165 of whom received thrombolysis. Plasma ApoB100 levels were significantly lower in the thrombolysis group (p < 0.001) and decreased ApoB100 levels were independently associated with 2-week stroke improvement (p = 0.009, OR = 0.89, 95% CI: 0.84-0.93). Random-forest feature-importance plots revealed that HDL and ApoB100 (each contributing > 15%) were the strongest lipid predictors of a favorable outcome, outperforming the other lipid variables. We found that thrombolysis is associated with ApoB100 decrease and a decrease in ApoB100 can predict the 2-week functional improvement in stroke. HDL and ApoB100 emerge as more important determinants of favorable AIS outcomes in this machine-learning analysis. These findings warrant external validation in multi-center trials. ChiCTR1800018315, 11/09/2018. Show less
📄 PDF DOI: 10.1186/s12883-025-04444-6
APOB
Jing Jin, Yu Lei, Jia Zheng +7 more · 2025 · Lipids in health and disease · BioMed Central · added 2026-04-24
Among individuals diagnosed with type 2 diabetes mellitus (T2DM), an abnormal accumulation of visceral fat heightens the cardiovascular risk (CVR), and the major reason for death for these people is a Show more
Among individuals diagnosed with type 2 diabetes mellitus (T2DM), an abnormal accumulation of visceral fat heightens the cardiovascular risk (CVR), and the major reason for death for these people is atherosclerotic cardiovascular disease (ASCVD). This study aimed to gain further insights into the longitudinal relationship between CVR and visceral fat area (VFA) in patients with T2DM, and to compare the predictive performance of additional abdominal obesity measures and VFA for changes in CVR. This prospective cohort study included 316 patients with T2DM who were followed up for more than one year, and VFA was measured by the bioimpedance method. This study investigated the prospective association between a VFA percentage change (∆VFA, %) and CVR, and evaluated the potential nonlinear relationships between ∆VFA (%) and the increase 10-year ASCVD risk. Furthermore, the area under the pooled curve (AUC) was contrasted for both ∆VFA (%) and other abdominal obesity indices. The excessive VFA loss group showed lower low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), total cholesterol (TC), triglyceride-glucose index, LDL-C/HDL-C, brachial-ankle pulse wave velocity, 10-year ASCVD risk, atherogenic index of plasma, TC/HDL-C, and apolipoproteins B/apolipoproteins A-1 than the VFA gain group (all β [Formula: see text] 0, HR [Formula: see text] 1, all P [Formula: see text] 0.05) after covariate controlling. VFA reduction of more than 14.82% led to a reduction in the stated risk. Moreover, ∆VFA (%) demonstrated superior predictive value for changes in ASCVD risk, with an AUC of 0.585 (95% CI: 0.513-0.656), compared to other obesity indices. Excessive VFA reduction improved 10-year ASCVD risk in patients diagnosed with T2DM. VFA was a more effective predictor of 10-year ASCVD risk changes than other abdominal obesity measures. This investigation has been registered with the Chinese Clinical Trial Registry (ChiCTR2400086569). Show less
📄 PDF DOI: 10.1186/s12944-025-02711-6
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Baichao Shi, Yu Wang, Rong Luo +6 more · 2025 · Frontiers in endocrinology · Frontiers · added 2026-04-24
This study aims to evaluate the association between mean arterial pressure (MAP) and anthropometric, metabolic, and endocrine parameters in Chinese infertile women with polycystic ovary syndrome (PCOS Show more
This study aims to evaluate the association between mean arterial pressure (MAP) and anthropometric, metabolic, and endocrine parameters in Chinese infertile women with polycystic ovary syndrome (PCOS). A total of 1,000 PCOS subjects were enrolled in the clinical trial project of Acupuncture and Clomiphene in the treatment of PCOS infertility patients (PCOSAct). Of these, 998 patients were selected for this study. Linear trends and regression analyses were conducted to evaluate the association between MAP and anthropometric, metabolic, and endocrine parameters. Logistic regression was employed to estimate the association between MAP and risk of insulin resistance (IR), nonalcoholic fatty liver disease (NAFLD) and hyperlipidemia. The receiver operating characteristics (ROC) curve was used to determine the predictive value of the MAP for IR, NAFLD and hyperlipidemia. Linear trends revealed that the MAP was positively associated with age, height, body weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP), hirsutism score, and acanthosis nigricans score, fasting blood glucose (FBG), fasting insulin (FINS), the homeostatic model assessment for insulin resistance (HOMA-IR), low-density lipoprotein (LDL), triglycerides (TG), total cholesterol (TC), apolipoprotein B (ApoB), ApoB/apolipoprotein A1 (ApoA1) ratio, total testosterone (TT), and free androgen index (FAI), as well as the prevalence of IR, metabolic syndrome (MetS), NAFLD, and hyperlipidemia. Conversely, MAP was negatively correlated with the quantitative insulin sensitivity check index (QUICKI), high-density lipoprotein (HDL), sex hormone-binding globulin (SHBG), luteinizing hormone (LH), the LH/follicle stimulating hormone (FSH) ratio, and anti-Müllerian hormone (AMH). After adjusting for age and BMI, a significant linear relationship was observed between MAP and WC, WHR, hirsutism score, FBG, LDL, TG, TC, ApoB, and ApoB/ApoA1 ratio. Logistic regression analysis demonstrated that participants in the highest quartile (Q4) of MAP had no significantly higher odds ratios (OR) for IR, NAFLD and hyperlipidemia after adjusting for confounding factors. The ROC curve analysis indicated that the AUC Elevated MAP is associated with dysregulation of glucose and lipid metabolism and alterations in endocrine hormone levels. It may thus serve as a promising screening approach for IR-related conditions in patients with PCOS. Show less
📄 PDF DOI: 10.3389/fendo.2025.1594813
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Xiaoying Wu, Mich Wilke, Jesse Batara +7 more · 2025 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Polycystic ovary syndrome (PCOS) is associated with increased cardiometabolic risk in young women of reproductive age. There are limited studies on atherogenic dyslipidemia, inclusive of triglycerides Show more
Polycystic ovary syndrome (PCOS) is associated with increased cardiometabolic risk in young women of reproductive age. There are limited studies on atherogenic dyslipidemia, inclusive of triglycerides (TG), Apolipoprotein (apo) B-lipoproteins and remnant-cholesterol (C), atherosclerotic cardiovascular disease (ACVD), cardiac function and remodeling in young women with and without PCOS. The aim of this pilot study was to investigate the relationship of atherogenic dyslipidemia and other cardiometabolic risk factors with ACVD, cardiac function-remodeling in high-risk young overweight-obese PCOS women compared to non-PCOS and healthy-weight controls. Women with and without PCOS (non-PCOS control) aged 18 - 45 years who were overweight and obese (>25kg/m PCOS (n=48) and non-PCOS control overweight-obese age-BMI matched groups (n=19) were shown to have significantly higher fasting and non-fasting lipids including TG, remnant-C, total ApoB and ApoB48, compared to healthy-weight non-PCOS controls (n=10). PCOS and non-PCOS control overweight-obese groups had significantly higher SBP, DBP, cIMT and evidence of cardiac dysfunction and remodeling, with reduced Mitral E/A ratio, intraventricular (IV) relaxation time and increased Left ventricle (LV) end diastolic and systolic diameter, LV posterior wall thickness and IV septal thickness, compared to healthy-weight non-PCOS controls. Individuals with PCOS had significantly higher fasting plasma TG and remnant-C compared to the non-PCOS overweight-obese control group. The PCOS group tended to have 25% higher carotid plaque height, although this was not significant, compared to the non-PCOS overweight-obese control group. DBP, HOMA-IR and ApoB predicted 40% of the variability in cIMT and ApoB was shown to predict 14% of the variability in carotid plaque height, independent of age and BMI. A 1mg/ml increase in ApoB was associated with a 0.041mm increase in cIMT and a 0.75mm increase in carotid plaque height in all young women. Our pilot results supports the potential of apoB-dyslipidemia, cIMT, carotid plaque height and left ventricular diastolic dysfunction and remodeling to be used in screening for CVD risk in high-risk populations such as overweight-obese women with and without PCOS. ApoB may be useful to predict atherosclerotic vascular burden and progression of cIMT and carotid plaque, and could be used to develop a female specific algorithm for ACVD risk in high-risk young women with and without PCOS. Show less
📄 PDF DOI: 10.3389/fendo.2025.1520922
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Qin Jiang, Tao Yang, Hao Yang +9 more · 2025 · Biomolecules · MDPI · added 2026-04-24
(1) Objective: This study aimed to systematically elucidate the molecular mechanisms by which gypenosides (GP), a major active component of
📄 PDF DOI: 10.3390/biom15081205
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Chengrong Wu, Qian Pu, Yalin Zou +5 more · 2025 · Scientific reports · Nature · added 2026-04-24
Calcific aortic valve stenosis (CAVS) is steadily rising worldwide with no effective pharmacological agents available. Observational studies implicated dyslipidaemia as a risk factor for CAVS. Whether Show more
Calcific aortic valve stenosis (CAVS) is steadily rising worldwide with no effective pharmacological agents available. Observational studies implicated dyslipidaemia as a risk factor for CAVS. Whether dyslipidaemia is causative for CAVS and the therapeutic potential of different lipid-modifying drug targets for CAVS treatment remains unclear. We appraised the relationship of genetically-proxied lipid traits and 12 lipid-modifying drug targets with CAVS risk using Mendelian randomization (MR). Genetic variants associated with lipid traits and variants in genes encoding lipid-modifying drug targets were retrieved from GLGC. Summary-level data for CAVS were obtained from the TARGET consortium and FinnGen. Validation analyses were performed using genetic instruments retrieved from liver-derived gene expression and circulation plasma levels of targets. Colocalisation and mediation analyses were performed to evaluate the robustness of our findings and explore potential mediators (i.e., lipoprotein a (Lp(a)), body mass index, apolipoprotein B (ApoB)). The MR analyses supported that total cholesterol and LDL-cholesterol level were independent causal risk factors. The drug-target MR analysis suggested that genetic mimicry of PCSK9 inhibition should reduce CAVS risk (OR = 0.63, 95% CI = 0.56-0.70), which was corroborated by colocalisation analysis. Secondary analyses supported a genetically proxied effect of liver-specific PCSK9 expression (OR = 0.94 per SD reduction in PCSK9 expression, 95% CI = 0.88-1.00) and circulating plasma levels of PCSK9 (OR = 0.86 per SD reduction in PCSK9 protein, 95% CI = 0.83-0.88) on CAVS risk. ApoB and Lp(a) mediated 55.9% and 4.5%, respectively, of the total effect of PCSK9 on CAVS risk. Multiple sensitivity analyses supported this observation. Our study supports total cholesterol, LDL-cholesterol as a causal factor for CAVS, and genetically proxied inhibition of PCSK9 may reduced its risk. Show less
📄 PDF DOI: 10.1038/s41598-025-15525-4
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Wenhui Wu, Chengcheng Wang, Tao Zhang +12 more · 2025 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
In Traditional Chinese Medicine (TCM), dampness is a pathogenic factor arising from impaired production and transportation of bodily fluids. While Fuling Zexie decoction (FLZXD) has demonstrated thera Show more
In Traditional Chinese Medicine (TCM), dampness is a pathogenic factor arising from impaired production and transportation of bodily fluids. While Fuling Zexie decoction (FLZXD) has demonstrated therapeutic efficacy in dampness constitution (DC) treatment, the material basis underlying its constitutional modulatory effects remains unclear. This study proposes objective indicators for the differentiation and therapeutic evaluation of DC and elucidates the material basis of FLZXD in DC treatment. Serum exosome proteomic profiling was conducted across two independent cohorts to identify DC-related indicators and assess the therapeutic efficacy of FLZXD in DC-associated hyperlipidemia (DC-hyperlipidemia). The bioactive compounds of FLZXD were prioritized through a comprehensive analysis of patent documentation and network pharmacology, with subsequent validation of DC-related targets using enzyme-linked immunosorbent assay (ELISA). Proteomic analysis of serum exosomes revealed signatures that differentiate individuals with a balanced constitution (BC) from those with DC. The differentially expressed proteins (DEPs) were enriched predominantly in pathways related to the complement cascade and cardiovascular diseases. FLZXD demonstrated therapeutic efficacy against DC-hyperlipidemia, as evidenced by the reversal of DEPs expression following treatment, which was supported by the patentable findings and network pharmacology analysis. Through experimental validation and pharmacological evidence, the active herbs of FLZXD (Fuling, Zexie and Baizhu, collectively referred to as FZB) were identified, and a total of 73 putative therapeutic targets involved in the dampness-resolving effects of FZB were revealed. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment further confirmed that FLZXD exerts its anti-dampness effects primarily through regulation of the complement and coagulation cascades. Among eight candidate indicators specifically associated with DC, four proteins were validated via ELISA, indicating potential utility for the differentiation of DC. The sensitivity (%), specificity (%), fold change (FC), p-value, and area under the curve (AUC) for each indicator were as follows: apolipoprotein B-100 (APOB) (100.00, 80.00, 0.63, 0.0051, 0.94), complement factor H-related protein 1 (CFHR1) (90.00, 100.00, 0.55, 0.0001, 0.98), alpha-1-acid glycoprotein 1 (ORM1) (100.00, 80.00, 0.71, 0.0043, 0.92), and pigment epithelium-derived factor (SERPINF1) (90.00, 70.00, 0.66, 0.0002, 0.87). The integrative approach, combining proteomic profiling, network pharmacology analysis, and clinical validation, establishes an integrative approach for research on TCM constitutions. This approach provides (1) molecular insights into the differentiation of DC, (2) a foundation for mechanism-based, targeted therapeutic strategies, and (3) enhanced patient stratification to support personalized treatment approaches. Show less
no PDF DOI: 10.1016/j.jep.2025.120353
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