👤 Zhengqian Yang

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
2090
Articles
1288
Name variants
Also published as: A Yang, A-Li Yang, Acong Yang, Ai-Lun Yang, Aige Yang, Airong Yang, Aiting Yang, Aizhen Yang, Albert C Yang, Alex J T Yang, An-Qi Yang, Andrew Yang, Angang Yang, Angela Wei Hong Yang, Anni Yang, Aram Yang, B Yang, Baigao Yang, Baixia Yang, Bangjia Yang, Bao Yang, Baofeng Yang, Baoli Yang, Baoxin Yang, Baoxue Yang, Bei Yang, Beibei Yang, Biao Yang, Bin Q Yang, Bin Yang, Bing Xiang Yang, Bing Yang, Bingyu Yang, Bo Yang, Bohui Yang, Boo-Keun Yang, Bowen Yang, Boya Yang, Burton B Yang, Byoung Chul Yang, Caimei Yang, Caixia Yang, Caixian Yang, Caixin Yang, Can Yang, Canchai Yang, Ce Yang, Celi Yang, Chan Mo Yang, Chan-Mo Yang, Chang Yang, Chang-Hao Yang, Changheng Yang, Changqing Yang, Changsheng Yang, Changwei Yang, Changyun Yang, Chanjuan Yang, Chao Yang, Chao-Yuh Yang, Chaobo Yang, Chaofei Yang, Chaogang Yang, Chaojie Yang, Chaolong Yang, Chaoping Yang, Chaoqin Yang, Chaoqun Yang, Chaowu Yang, Chaoyun Yang, Chaozhe Yang, Chen Die Yang, Chen Yang, Cheng Yang, Cheng-Gang Yang, Chengfang Yang, Chenghao Yang, Chengkai Yang, Chengkun Yang, Chengran Yang, Chenguang Yang, Chengyingjie Yang, Chengzhang Yang, Chensi Yang, Chensu Yang, Chenxi Yang, Chenyu Yang, Chenzi Yang, Chi Yang, Chia-Wei Yang, Chieh-Hsin Yang, Chien-Wen Yang, Chih-Hao Yang, Chih-Min Yang, Chih-Yu Yang, Chihyu Yang, Ching-Fen Yang, Ching-Wen Yang, Chongmeng Yang, Chuan He Yang, Chuan Yang, Chuanbin Yang, Chuang Yang, Chuanli Yang, Chuhu Yang, Chun Yang, Chun-Chun Yang, Chun-Mao Yang, Chun-Seok Yang, Chunbaixue Yang, Chung-Hsiang Yang, Chung-Shi Yang, Chung-Yi Yang, Chunhua Yang, Chunhui Yang, Chunjie Yang, Chunjun Yang, Chunlei Yang, Chunli Yang, Chunmao Yang, Chunping Yang, Chunqing Yang, Chunru Yang, Chunxiao Yang, Chunyan Yang, Chunyu Yang, Congyi Yang, Cui Yang, Cuiwei Yang, Cunming Yang, Dai-Qin Yang, Dan Yang, Dan-Dan Yang, Dan-Hui Yang, Dandan Yang, Danlu Yang, Danrong Yang, Danzhou Yang, Dapeng Yang, De-Hua Yang, De-Zhai Yang, Decao Yang, Defu Yang, Deguang Yang, Dehao Yang, Dehua Yang, Dejun Yang, Deli Yang, Dengfa Yang, Deok Chun Yang, Deshuang Yang, Di Yang, Dianqiang Yang, Ding Yang, Ding-I Yang, Diya Yang, Diyuan Yang, Dong Yang, Dong-Hua Yang, Dongfeng Yang, Dongjie Yang, Dongliang Yang, Dongmei Yang, Dongren Yang, Dongshan Yang, Dongwei Yang, Dongwen Yang, DuJiang Yang, Eddy S Yang, Edwin Yang, Ei-Wen Yang, Emily Yang, Enlu Yang, Enzhi Yang, Eric Yang, Eryan Yang, Ethan Yang, Eunho Yang, Fajun Yang, Fan Yang, Fang Yang, Fang-Ji Yang, Fang-Kun Yang, Fei Yang, Feilong Yang, Feiran Yang, Feixiang Yang, Fen Yang, Feng Yang, Feng-Ming Yang, Feng-Yun Yang, Fengjie Yang, Fengjiu Yang, Fengjuan Yang, Fenglian Yang, Fengling Yang, Fengping Yang, Fengying Yang, Fengyong Yang, Fu Yang, Fude Yang, Fuhe Yang, Fuhuang Yang, Fumin Yang, Fuquan Yang, Furong Yang, Fuxia Yang, Fuyao Yang, G Y Yang, G Yang, Gan Yang, Gang Yang, Gangyi Yang, Gao Yang, Gaohong Yang, Gaoxiang Yang, Ge Yang, Gong Yang, Gong-Li Yang, Grace H Y Yang, Guan Yang, Guang Yang, Guangdong Yang, Guangli Yang, Guangwei Yang, Guangyan Yang, Guanlin Yang, Gui-Zhi Yang, Guigang Yang, Guitao Yang, Guo Yang, Guo-Can Yang, Guobin Yang, Guofen Yang, Guojun Yang, Guokun Yang, Guoli Yang, Guomei Yang, Guoping Yang, Guoqi Yang, Guosheng Yang, Guotao Yang, Guowang Yang, Guowei Yang, H X Yang, H Yang, Hai Yang, Hai-Chun Yang, Haibo Yang, Haihong Yang, Haikun Yang, Hailei Yang, Hailing Yang, Haiming Yang, Haiping Yang, Haiqiang Yang, Haitao Yang, Haixia Yang, Haiyan Yang, Haiying Yang, Han Yang, Hanchen Yang, Handong Yang, Hang Yang, Hannah Yang, Hanseul Yang, Hanteng Yang, Hao Yang, Hao-Jan Yang, HaoXiang Yang, Haojie Yang, Haolan Yang, Haoqing Yang, Haoran Yang, Haoyu Yang, Harrison Hao Yang, Hee Joo Yang, Heng Yang, Hengwen Yang, Henry Yang, Heqi Yang, Heyi Yang, Heyun Yang, Hoe-Saeng Yang, Hong Yang, Hong-Fa Yang, Hong-Li Yang, HongMei Yang, Hongbing Yang, Hongbo Yang, Hongfa Yang, Honghong Yang, Hongjie Yang, Hongjun Yang, Hongli Yang, Hongling Yang, Hongqun Yang, Hongxia Yang, Hongxin Yang, Hongyan Yang, Hongyu Yang, Hongyuan Yang, Hongyue Yang, Howard H Yang, Howard Yang, Hsin-Chou Yang, Hsin-Jung Yang, Hsin-Sheng Yang, Hua Yang, Hua-Yuan Yang, Huabing Yang, Huafang Yang, Huaijie Yang, Huan Yang, Huanhuan Yang, Huanjie Yang, Huanming Yang, Huansheng Yang, Huanyi Yang, Huarong Yang, Huaxiao Yang, Huazhao Yang, Hui Yang, Hui-Ju Yang, Hui-Li Yang, Hui-Ting Yang, Hui-Yu Yang, Hui-Yun Yang, Huifang Yang, Huihui Yang, Huijia Yang, Huijie Yang, Huiping Yang, Huiran Yang, Huixia Yang, Huiyu Yang, Hung-Chih Yang, Hwai-I Yang, Hye Jeong Yang, Hyerim Yang, Hyun Suk Yang, Hyun-Sik Yang, Ill Yang, Ivana V Yang, J S Yang, J Yang, James Y Yang, Jaw-Ji Yang, Jee Sun Yang, Jenny J Yang, Jerry Yang, Ji Hye Yang, Ji Yang, Ji Yeong Yang, Ji-chun Yang, Jia Yang, Jia-Ling Yang, Jia-Ying Yang, Jiahong Yang, Jiahui Yang, Jiajia Yang, Jiakai Yang, Jiali Yang, Jialiang Yang, Jian Yang, Jian-Bo Yang, Jian-Jun Yang, Jian-Ming Yang, Jian-Ye Yang, JianHua Yang, JianJun Yang, Jianbo Yang, Jiang-Min Yang, Jiang-Yan Yang, Jianing Yang, Jianke Yang, Jianli Yang, Jianlou Yang, Jianmin Yang, Jianming Yang, Jianqi Yang, Jianwei Yang, Jianyu Yang, Jiao Yang, Jiarui Yang, Jiawei Yang, Jiaxin Yang, Jiayan Yang, Jiayi Yang, Jiaying Yang, Jiayue Yang, Jichun Yang, Jie Yang, Jie-Cheng Yang, Jie-Hong Yang, Jie-Kai Yang, Jiefeng Yang, Jiehong Yang, Jieping Yang, Jiexiang Yang, Jihong Yang, Jimin Yang, Jin Yang, Jin-Jian Yang, Jin-Kui Yang, Jin-gang Yang, Jin-ju Yang, Jinan Yang, Jinfeng Yang, Jing Yang, Jing-Quan Yang, Jing-Yu Yang, Jingang Yang, Jingfeng Yang, Jinggang Yang, Jinghua Yang, Jinghui Yang, Jingjing Yang, Jingmin Yang, Jingping Yang, Jingran Yang, Jingshi Yang, Jingwen Yang, Jingya Yang, Jingyan Yang, Jingyao Yang, Jingye Yang, Jingyu Yang, Jingyun Yang, Jingze Yang, Jinhua Yang, Jinhui Yang, Jinjian Yang, Jinpeng Yang, Jinru Yang, Jinshan Yang, Jinsong Yang, Jinsung Yang, Jinwen Yang, Jinzhao Yang, Jiong Yang, Ju Dong Yang, Ju Young Yang, Juan Yang, Juesheng Yang, Jumei Yang, Jun J Yang, Jun Yang, Jun-Hua Yang, Jun-Xia Yang, Jun-Xing Yang, Junbo Yang, Jung Dug Yang, Jung Wook Yang, Jung-Ho Yang, Junhan Yang, Junjie Yang, Junlin Yang, Junlu Yang, Junping Yang, Juntao Yang, Junyao Yang, Junyi Yang, Kai Yang, Kai-Chien Yang, Kai-Chun Yang, Kaidi Yang, Kaifeng Yang, Kaijie Yang, Kaili Yang, Kailin Yang, Kaiwen Yang, Kang Yang, Kang Yi Yang, Kangning Yang, Karen Yang, Ke Yang, Keming Yang, Keping Yang, Kexin Yang, Kuang-Yao Yang, Kui Yang, Kun Yang, Kunao Yang, Kunqi Yang, Kunyu Yang, Kuo Tai Yang, L Yang, Lamei Yang, Lan Yang, Le Yang, Lei Yang, Lexin Yang, Leyi Yang, Li Chun Yang, Li Yang, Li-Kun Yang, Li-Qin Yang, Li-li Yang, LiMan Yang, Lian-he Yang, Liang Yang, Liang-Yo Yang, Liangbin Yang, Liangle Yang, Liangliang Yang, Lichao Yang, Lichuan Yang, Licong Yang, Liehao Yang, Lihong Yang, Lihua Yang, Lihuizi Yang, Lijia Yang, Lijie Yang, Lijuan Yang, Lijun Yang, Lili Yang, Lin Sheng Yang, Lin Yang, Lina Yang, Ling Ling Yang, Ling Yang, Lingfeng Yang, Lingling Yang, Lingzhi Yang, Linlin Yang, Linnan Yang, Linqing Yang, Linquan Yang, Lipeng Yang, Liping Yang, Liting Yang, Liu Yang, Liu-Kun Yang, LiuMing Yang, Liuliu Yang, Liwei Yang, Lixian Yang, Lixue Yang, Long In Yang, Long Yang, Long-Yan Yang, Longbao Yang, Longjun Yang, Longyan Yang, Lu M Yang, Lu Yang, Lu-Hui Yang, Lu-Kun Yang, Lu-Qin Yang, Luda Yang, Man Yang, Manqing Yang, Maojie Yang, Maoquan Yang, Mei Yang, Meichan Yang, Meihua Yang, Meili Yang, Meiting Yang, Meixiang Yang, Meiying Yang, Meng Yang, Menghan Yang, Menghua Yang, Mengjie Yang, Mengli Yang, Mengliu Yang, Mengmeng Yang, Mengsu Yang, Mengwei Yang, Mengying Yang, Miaomiao Yang, Mickey Yang, Min Hee Yang, Min Yang, Mina Yang, Ming Yang, Ming-Hui Yang, Ming-Yan Yang, Minghui Yang, Mingjia Yang, Mingjie Yang, Mingjun Yang, Mingli Yang, Mingqian Yang, Mingshi Yang, Mingyan Yang, Mingyu Yang, Minyi Yang, Misun Yang, Mu Yang, Muh-Hwa Yang, Na Yang, Nan Yang, Nana Yang, Nanfei Yang, Neil V Yang, Ni Yang, Ning Yang, Ningjie Yang, Ningli Yang, Pan Yang, Pan-Chyr Yang, Paul Yang, Peichang Yang, Peiran Yang, Peiyan Yang, Peiying Yang, Peiyuan Yang, Peizeng Yang, Peng Yang, Peng-Fei Yang, PengXiang Yang, Pengfei Yang, Penghui Yang, Pengwei Yang, Pengyu Yang, Phillip C Yang, Pin Yang, Ping Yang, Ping-Fen Yang, Pinghong Yang, Pu Yang, Q H Yang, Q Yang, Qi Yang, Qi-En Yang, Qian Yang, Qian-Jiao Yang, Qian-Li Yang, QianKun Yang, Qiang Yang, Qianhong Yang, Qianqian Yang, Qianru Yang, Qiaoli Yang, Qiaorong Yang, Qiaoyuan Yang, Qifan Yang, Qifeng Yang, Qiman Yang, Qimeng Yang, Qiming Yang, Qin Yang, Qinbo Yang, Qing Yang, Qing-Cheng Yang, Qingcheng Yang, Qinghu Yang, Qingkai Yang, Qinglin Yang, Qingling Yang, Qingmo Yang, Qingqing Yang, Qingtao Yang, Qingwu Yang, Qingya Yang, Qingyan Yang, Qingyi Yang, Qingyu Yang, Qingyuan Yang, Qiong Yang, Qiu Yang, Qiu-Yan Yang, Qiuhua Yang, Qiuhui Yang, Qiulan Yang, Qiuli Yang, Qiuxia Yang, Qiwei Yang, Qiwen Yang, Quan Yang, Quanjun Yang, Quanli Yang, Qun-Fang Yang, R Yang, Ran Yang, Ren-Zhi Yang, Renchi Yang, Renhua Yang, Renjun Yang, Renqiang Yang, Renzhi Yang, Ri-Yao Yang, Richard K Yang, Robert Yang, Rong Yang, Rongrong Yang, Rongxi Yang, Rongyuan Yang, Rongze Yang, Rui Xu Yang, Rui Yang, Rui-Xu Yang, Rui-Yi Yang, Ruicheng Yang, Ruifang Yang, Ruihua Yang, Ruilan Yang, Ruili Yang, Ruiqin Yang, Ruirui Yang, Ruiwei Yang, Rulai Yang, Ruming Yang, Run Yang, Runjun Yang, Runxu Yang, Runyu Yang, Runzhou Yang, Ruocong Yang, Ruoyun Yang, Ruyu Yang, S J Yang, Se-Ran Yang, Sen Yang, Senwen Yang, Seung Yun Yang, Seung-Jo Yang, Seung-Ok Yang, Shan Yang, Shangchen Yang, Shanghua Yang, Shangwen Yang, Shanzheng Yang, Shao-Hua Yang, Shaobin Yang, Shaohua Yang, Shaoling Yang, Shaoqi Yang, Shaoqing Yang, Sheng Sheng Yang, Sheng Yang, Sheng-Huei Yang, Sheng-Qian Yang, Sheng-Wu Yang, ShengHui Yang, Shenglin Yang, Shengnan Yang, Shengqian Yang, Shengyong Yang, Shengzhuang Yang, Shenhui Yang, Shi-Ming Yang, Shiaw-Der Yang, Shifeng Yang, Shigao Yang, Shijie Yang, Shiming Yang, Shipeng Yang, Shiping Yang, Shiu-Ju Yang, Shiyi Yang, Shizhong Yang, Shizhuo Yang, Shu Yang, ShuSheng Yang, Shuai Yang, Shuaibing Yang, Shuaini Yang, Shuang Yang, Shuangshuang Yang, Shucai Yang, Shufang Yang, Shuhua Yang, Shujuan Yang, Shujun Yang, Shulan Yang, Shulin Yang, Shuming Yang, Shun-Fa Yang, Shuo Yang, Shuofei Yang, Shuping Yang, Shuqi Yang, Shuquan Yang, Shurong Yang, Shushen Yang, Shuye Yang, Shuyu Yang, Si Yang, Si-Fu Yang, Sibao Yang, Sibo Yang, Sichong Yang, Sihui Yang, Sijia Yang, Siqi Yang, Sirui Yang, Sisi Yang, Sitao Yang, Siwen Yang, Siyi Yang, Siyu Yang, Sizhen Yang, Sizhu Yang, Song Yang, Song-na Yang, Songpeng Yang, Songye Yang, Soo Hyun Yang, Su Yang, Su-Geun Yang, Suhong Yang, Sujae Yang, Sujuan Yang, Suk-Kyun Yang, Sun Kyung Yang, Suwol Yang, Suxia Yang, Suyi Yang, Suyu Yang, Tai-Hui Yang, Tailai Yang, Tao Yang, Tengyun Yang, Thomas P Yang, Ti Yang, Tian Yang, Tianbao Yang, Tianfeng Yang, Tianjie Yang, Tianmin Yang, Tianpeng Yang, Tianqiong Yang, Tiantian Yang, Tianxin Yang, Tianyou Yang, Tianyu Yang, Tianze Yang, Tianzhong Yang, Ting Yang, Ting-Xian Yang, Tingting Yang, Tingyu Yang, Tong Yang, Tong Yi Yang, Tong-Xin Yang, Tonglin Yang, Tongren Yang, Tuanmin Yang, Ueng-Cheng Yang, W Yang, Wan-Chen Yang, Wan-Jung Yang, Wang Yang, Wannian Yang, Wei Qiang Yang, Wei Yang, Wei-Fa Yang, Wei-Xin Yang, Weidong Yang, Weiguang Yang, Weihan Yang, Weijian Yang, Weili Yang, Weimin Yang, Weiran Yang, Weiwei Yang, Weixian Yang, Weizhong Yang, Wen Yang, Wen Z Yang, Wen-Bin Yang, Wen-Chin Yang, Wen-He Yang, Wen-Hsuan Yang, Wen-Ming Yang, Wen-Wen Yang, Wen-Xiao Yang, WenKai Yang, Wenbo Yang, Wenchao Yang, Wending Yang, Wenfei Yang, Wenhong Yang, Wenhua Yang, Wenhui Yang, Wenjian Yang, Wenjie Yang, Wenjing Yang, Wenjuan Yang, Wenjun Yang, Wenli Yang, Wenlin Yang, Wenming Yang, Wenqin Yang, Wenshan Yang, Wentao Yang, Wenwen Yang, Wenwu Yang, Wenxin Yang, Wenxing Yang, Wenying Yang, Wenzhi Yang, Wenzhu Yang, William Yang, Woong-Suk Yang, Wu Yang, Wu-de Yang, X Yang, X-J Yang, Xi Yang, Xi-You Yang, Xia Yang, Xian Yang, Xiang Yang, Xiang-Hong Yang, Xiang-Jun Yang, Xianggui Yang, Xianghong Yang, Xiangliang Yang, Xiangling Yang, Xiangqiong Yang, Xiangxiang Yang, Xiangyu Yang, Xiao Yang, Xiao-Dong Yang, Xiao-Fang Yang, Xiao-Hong Yang, Xiao-Jie Yang, Xiao-Juan Yang, Xiao-Meng Yang, Xiao-Ming Yang, Xiao-Qian Yang, Xiao-Yan Yang, Xiao-Ying Yang, Xiao-Yu Yang, Xiao-guang Yang, XiaoYan Yang, Xiaoao Yang, Xiaobin Yang, Xiaobo Yang, Xiaochen Yang, Xiaodan Yang, Xiaodi Yang, Xiaodong Yang, Xiaofei Yang, Xiaofeng Yang, Xiaohao Yang, Xiaohe Yang, Xiaohong R Yang, Xiaohong Yang, Xiaohuang Yang, Xiaohui Yang, Xiaojian Yang, Xiaojie Yang, Xiaojing Yang, Xiaojuan Yang, Xiaojun Yang, Xiaoli Yang, Xiaolu Yang, Xiaomeng Yang, Xiaoming Yang, Xiaonan Yang, Xiaoping Yang, Xiaoqian Yang, Xiaoqin Yang, Xiaoqun Yang, Xiaorong Yang, Xiaoshan Yang, Xiaoshi Yang, Xiaosong Yang, Xiaotian Yang, Xiaotong Yang, Xiaowei Yang, Xiaowen Yang, Xiaoxiao Yang, Xiaoxin Yang, Xiaoxu Yang, Xiaoyao Yang, Xiaoyi Yang, Xiaoyong Yang, Xiaoyu Yang, Xiaoyun Yang, Xiaozhen Yang, Xifei Yang, Xiling Yang, Ximan Yang, Xin Yang, Xin-He Yang, Xin-Yu Yang, Xin-Zhuang Yang, Xing Yang, Xinghai Yang, Xinglong Yang, Xingmao Yang, Xingming Yang, Xingsheng Yang, Xingyu Yang, Xingyue Yang, Xingzhi Yang, Xinjing Yang, Xinming Yang, Xinpu Yang, Xinwang Yang, Xinxin Yang, Xinyan Yang, Xinyi Yang, Xinyu Yang, Xinyue Yang, Xiong Ling Yang, Xiru Yang, Xitong Yang, Xiu Hong Yang, Xiuhua Yang, Xiulin Yang, Xiuna Yang, Xiuqin Yang, Xiurong Yang, Xiuwei Yang, Xiwen Yang, Xiyue Yang, Xu Yang, Xuan Yang, Xue Yang, Xue-Feng Yang, Xue-Ping Yang, Xuecheng Yang, Xuehan Yang, Xuejing Yang, Xuejun Yang, Xueli Yang, Xuena Yang, Xueping Yang, Xuesong Yang, Xuhan Yang, Xuhui Yang, Xuping Yang, Xuyang Yang, Y C Yang, Y F Yang, Y L Yang, Y P Yang, Y Q Yang, Y Yang, Y-T Yang, Ya Yang, Ya-Chen Yang, Yadong Yang, Yafang Yang, Yajie Yang, Yalan Yang, Yali Yang, Yaming Yang, Yan Yang, Yan-Bei Yang, Yan-Ling Yang, Yanan Yang, Yanfang Yang, Yang Yang, Yangfan Yang, Yangyang Yang, Yanhui Yang, Yanjianxiong Yang, Yanling Yang, Yanmei Yang, Yanmin Yang, Yanping Yang, Yanru Yang, Yanting Yang, Yanyan Yang, Yanzhen Yang, Yaorui Yang, Yaping Yang, Yaqi Yang, Yaxi Yang, Ye Yang, Yefa Yang, Yefeng Yang, Yeqing Yang, Yexin Yang, Yi Yang, Yi-Chieh Yang, Yi-Fang Yang, Yi-Feng Yang, Yi-Liang Yang, Yi-Ping Yang, Yi-ning Yang, Yibing Yang, Yichen Yang, Yidong Yang, Yifan Yang, Yifang Yang, Yifei Yang, Yifeng Yang, Yihe Yang, Yijie Yang, Yilian Yang, Yimei Yang, Yimin Yang, Yiming Yang, Yimu Yang, Yin-Rong Yang, Yinfeng Yang, Ying Yang, Ying-Hua Yang, Ying-Ying Yang, Yingdi Yang, Yingjun Yang, Yingqing Yang, Yingrui Yang, Yingxia Yang, Yingyu Yang, Yinhua Yang, Yining Yang, Yinxi Yang, Yiping Yang, Yiting Yang, Yiyi Yang, Yiying Yang, Yong Yang, Yong-Yu Yang, Yongfeng Yang, Yongguang Yang, Yonghong Yang, Yonghui Yang, Yongjia Yang, Yongjie Yang, Yongkang Yang, Yongqiang Yang, Yongsan Yang, Yongxin Yang, Yongxing Yang, Yongzhong Yang, Yoon La Yang, Yoon Mee Yang, Youhua Yang, YoungSoon Yang, Yu Yang, Yu-Fan Yang, Yu-Feng Yang, Yu-Jie Yang, Yu-Shi Yang, Yu-Tao Yang, Yu-Ting Yang, Yuan Yang, Yuan-Han Yang, Yuan-Jian Yang, Yuanhao Yang, Yuanjin Yang, Yuanquan Yang, Yuanrong Yang, Yuanying Yang, Yuanzhang Yang, Yuanzhi Yang, Yuchen Yang, Yucheng Yang, Yue Yang, Yueh-Ning Yang, Yuejin Yang, Yuexiang Yang, Yueze Yang, Yufan Yang, Yuhan Yang, Yuhang Yang, Yuhua Yang, Yujie Yang, Yujing Yang, Yulin Yang, Yuling Yang, Yulong Yang, Yun Yang, YunKai Yang, Yunfan Yang, Yung-Li Yang, Yunhai Yang, Yunlong Yang, Yunmei Yang, Yunwen Yang, Yunyun Yang, Yunzhao Yang, Yupeng Yang, Yuqi Yang, Yuta Yang, Yutao Yang, Yuting Yang, Yutong Yang, Yuwei Yang, Yuxi Yang, Yuxing Yang, Yuxiu Yang, Yuyan Yang, Yuyao Yang, Yuying Yang, Z Yang, Zaibin Yang, Zaiming Yang, Zaiqing Yang, Zanhao Yang, Ze Yang, Zemin Yang, Zeng-Ming Yang, Zengqiang Yang, Zengqiao Yang, Zeyu Yang, Zhang Yang, Zhangping Yang, Zhanyi Yang, Zhao Yang, Zhao-Na Yang, Zhaojie Yang, Zhaoli Yang, Zhaoxin Yang, Zhaoyang Yang, Zhaoyi Yang, Zhehan Yang, Zheming Yang, Zhen Yang, Zheng Yang, Zheng-Fei Yang, Zheng-lin Yang, Zhenglin Yang, Zhengtao Yang, Zhenguo Yang, Zhengyan Yang, Zhengzheng Yang, Zhengzhong Yang, Zhenhua Yang, Zhenjun Yang, Zhenmei Yang, Zhenqi Yang, Zhenrong Yang, Zhenwei Yang, Zhenxing Yang, Zhenyun Yang, Zhenzhen Yang, Zheyu Yang, Zhi Yang, Zhi-Can Yang, Zhi-Hong Yang, Zhi-Jun Yang, Zhi-Min Yang, Zhi-Ming Yang, Zhi-Rui Yang, Zhibo Yang, Zhichao Yang, Zhifen Yang, Zhigang Yang, Zhihang Yang, Zhihong Yang, Zhikuan Yang, Zhikun Yang, Zhimin Yang, Zhiming Yang, Zhiqiang Yang, Zhitao Yang, Zhiwei Yang, Zhixin Yang, Zhiyan Yang, Zhiyong Yang, Zhiyou Yang, Zhiyuan Yang, Zhongan Yang, Zhongfang Yang, Zhonghua Yang, Zhonghui Yang, Zhongli Yang, Zhongshu Yang, Zhongzhou Yang, Zhou Yang, Zhuliang Yang, Zhuo Yang, Zhuoya Yang, Zhuoyu Yang, Zi F Yang, Zi Yang, Zi-Han Yang, Zi-Wei Yang, Zicong Yang, Zifeng Yang, Zihan Yang, Ziheng Yang, Zijiang Yang, Zishan Yang, Zixia Yang, Zixuan Yang, Ziying Yang, Ziyou Yang, Ziyu Yang, Zong-de Yang, Zongfang Yang, Zongyu Yang, Zunxian Yang, Zuozhen Yang
articles
Linlin Wang, Liping Cao, Qiangqing Yu +5 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Correction for '
no PDF DOI: 10.1039/d6fo90001a
BDNF
So Yeon Jung, Misun Yang, Young Eun Kim +5 more · 2026 · International journal of stem cells · added 2026-04-24
The brain-derived neurotrophic factor (BDNF) plays a crucial role in neuroprotection, and we have previously demonstrated BDNF-mediated neuroprotective effects in mesenchymal stromal cells (MSCs). The Show more
The brain-derived neurotrophic factor (BDNF) plays a crucial role in neuroprotection, and we have previously demonstrated BDNF-mediated neuroprotective effects in mesenchymal stromal cells (MSCs). The present study aimed to investigate whether BDNF-overexpressing MSCs enhance the therapeutic efficacy of naïve MSCs in a preclinical model of severe neonatal intraventricular hemorrhage (IVH). We exposed primary rat neuronal cells to 40 U of thrombin overnight Show less
📄 PDF DOI: 10.15283/ijsc25016
BDNF
Jian Liu, Yeqing Liu, Changtie Liu +9 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Visceral pain is frequently accompanied by depression, a comorbidity involving central neuroinflammation and abnormal neuronal plasticity. The P2X7 receptor (P2X7R) plays a crucial role in neuroinflam Show more
Visceral pain is frequently accompanied by depression, a comorbidity involving central neuroinflammation and abnormal neuronal plasticity. The P2X7 receptor (P2X7R) plays a crucial role in neuroinflammation and pyroptosis, while Jujuboside A (JuA), a major saponin extracted from Ziziphus jujuba seeds, has been reported to exert significant antidepressant and analgesic effects. In this study, we systematically evaluated the regulatory effects of JuA on the P2X7R-brain-derived neurotrophic factor (BDNF) pathway and on pyroptosis and apoptosis using a rat model of colorectal distension (CRD) and primary neuron/astrocyte cultures. JuA markedly alleviated visceral hypersensitivity and depressive-like behaviors in CRD rats and reduced P2X7R expression in both the spinal cord (SC) and hippocampus (HPC). Further investigations in vitro revealed that JuA inhibited excessive P2X7R activation in SC astrocytes, thereby decreasing the expression of NLRP3, Caspase-1, GSDMD, IL-1β and TNF-α, indicating suppression of pyroptosis. Similarly, JuA exerted an anti-pyroptotic effect in HPC astrocytes and inhibited neuronal apoptosis by reducing Caspase-3 and Bax levels while increasing Bcl2 expression, leading to upregulation of HPC BDNF. Collectively, JuA targets P2X7R and suppresses downstream pyroptotic and apoptotic signaling in vitro, which may contribute to its neuroprotective effects. These findings provide experimental evidence supporting the potential of JuA as a therapeutic agent for comorbid visceral pain and depression. Show less
no PDF DOI: 10.1016/j.phymed.2026.157764
BDNF bdnf depression neuroinflammation neuroplasticity p2x7r pyroptosis visceral pain
Jing-Yi Xu, Chen-Chen Li, Hao-Chen Zhang +8 more · 2026 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Current treatments for depression have focused on improving the dysregulated monoamine neurotransmitter systems in the brain. However, the conventional antidepressants based on the monoamine hypothesi Show more
Current treatments for depression have focused on improving the dysregulated monoamine neurotransmitter systems in the brain. However, the conventional antidepressants based on the monoamine hypothesis usually exert side effects and unsatisfactory responses. MicroRNAs (miRNAs) are smaller noncoding RNA which are highly expressed in the brain and play important roles in the development of neurological disorders. In this study we investigated the role of miRNAs in the occurrence of depression. A rat depression model was established by exposure to chronic mild stress (CMS) over 4 weeks. In the next week, the sucrose preference test (SPT), the forced swimming test (FST), and the open field test (OFT) were used to evaluate the depression-like behaviors. Then the rats were euthanized and total RNA was isolated from rat mPFC. We showed that the level of microRNA-129-5p (miR-129-5p) was significantly increased in the mPFC of CMS rats. Overexpression of miR-129-5p in the mPFC by bilateral microinjection of lenti-miR-129-5p virus (OE-miR-129-5p) induced the depression-like behaviors in control rats, accompanied with the impairment in neuronal structures and a decrease in synaptic plasticity. In contrast, knockdown of miR-129-5p in the mPFC by bilateral microinjection of lenti-miR-129-5p sponge virus (KD-miR-129-5p) ameliorated the depression-like behaviors in CMS rats, along with the improvement in neuronal structures and an increase in synaptic plasticity. Furthermore, we demonstrated that miR-129-5p targeted to the brain-derived neurotrophic factor (BDNF) in the mPFC to contribute to the development of depression. This study suggests that miR-129-5p in the mPFC impairs the neuronal structures and reduces the synaptic plasticity after the exposure to CMS, which underlies the development of CMS-induced depression-like behaviors in rats. Show less
📄 PDF DOI: 10.1038/s41401-025-01708-2
BDNF
Dong Liu, Hongyan Yang, Xiangqian Feng +13 more · 2026 · Experimental gerontology · Elsevier · added 2026-04-24
Alzheimer's disease (AD) and osteoporosis are common age-related degenerative diseases. Emerging evidence suggests that amyloid-β (Aβ) deposition may contribute to the pathogenesis of both conditions. Show more
Alzheimer's disease (AD) and osteoporosis are common age-related degenerative diseases. Emerging evidence suggests that amyloid-β (Aβ) deposition may contribute to the pathogenesis of both conditions. This study investigated whether probucol could alleviate AD-associated bone loss and Aβ42-induced osteoblast dysfunction, and further explored the underlying mechanisms. Female mice were divided into four groups (n = 5 per group): C57BL/6 wild-type (WT), WT treated with probucol (WT + PBC), APP/PS1 transgenic (AD) mice, and AD treated with probucol (AD+PBC). Bone mineral density (BMD) was assessed by micro-CT. Levels of pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) along with bone metabolism markers including fibroblast growth factor 23 (FGF23), sclerostin, and brain-derived neurotrophic factor (BDNF) in bone and brain tissues were measured by ELISA. FOXO3a was knocked down in the bone marrow of APP/PS1 mice via stereotactic injection of lentiviral vectors. Expression of APP and FOXO3a in bone tissue was evaluated using RT-qPCR and Western blotting (WB). Mitochondrial damage in osteoblasts and neuronal cells was assessed by transmission electron microscopy (TEM). In vitro study, osteoblast differentiation and mineralization deficits were evaluated using Alizarin Red staining. WB was used to measure the expression of AKT, FOXO3a, autophagy and apoptosis related proteins. Probucol attenuated bone loss and mitochondrial damage in both APP/PS1 and FOXO3a-knockdown APP/PS1 mice, and improved cognitive impairment and neuronal ultrastructure in APP/PS1 mice. Furthermore, probucol attenuated Aβ42-induced osteoblast differentiation and mineralization via the AKT/FOXO3a signaling pathway in vitro. These findings demonstrate that probucol ameliorates AD-associated bone loss and Aβ42-induced osteoblast impairments by regulating AKT/FOXO3a signaling pathway. Show less
no PDF DOI: 10.1016/j.exger.2026.113034
BDNF alzheimer's disease amyloid bone loss osteoblast osteoporosis pathogenesis signaling pathway
Xiaomei Wang, Jiao Yang, Jiayuan Zhang +3 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Given the potential of polyphenols to mitigate neurodegenerative diseases (NDDs), this meta-analysis investigated whether clinical evidence supports the use of polyphenols for neuroprotection and as n Show more
Given the potential of polyphenols to mitigate neurodegenerative diseases (NDDs), this meta-analysis investigated whether clinical evidence supports the use of polyphenols for neuroprotection and as nutritional strategies in NDDs. We analyzed different polyphenol types across seven NDDs, 13 studies involving 849 participants were included. Prespecified outcomes comprised global cognition (Mini-Mental State Examination, MMSE), domain-specific cognition (Alzheimer's Disease Cooperative Study-Cognitive Subscale, ADCS-Cog), activities of daily living (Alzheimer's Disease Cooperative Study-Activities of Daily Living, ADCS-ADL), neuropsychiatric symptoms (Neuropsychiatric Inventory, NPI), and selected biomarkers (plasma amyloid-β40 and brain-derived neurotrophic factor, BDNF). Reporting followed PRISMA 2020 guidelines, methods conformed to the Cochrane Handbook, and certainty of evidence was assessed using GRADE. Overall, polyphenol supplementation was associated with improved global cognition (pooled MD in MMSE = 2.06; 95% CI 0.62-3.49). In subgroup analyses, flavonoids were associated with a modest but significant improvement in MMSE scores, whereas stilbenes produced a significant benefit in daily functioning (ADCS-ADL) without clear gains in MMSE or ADCS-Cog and no consistent effects on NPI. Anthocyanidins, phenolic acids, and lignans did not significantly affect cognitive outcomes (MMSE or ADCS-Cog), and polyphenol subclasses did not yield robust or consistent changes in NPI or biomarker endpoints (Aβ40 and BDNF). Specific polyphenol subclasses therefore appear to confer selective cognitive and functional benefits, with stilbenes primarily supporting functional outcomes and flavonoids potentially enhancing global cognition. Show less
no PDF DOI: 10.1039/d5fo05135e
BDNF cognitive health neurodegeneration neurodegenerative diseases neuroprotection nutrition polyphenols randomized controlled trials
Yan Zhao, Yixin Fu, Tianhao Liu +11 more · 2026 · CNS neuroscience & therapeutics · Wiley · added 2026-04-24
Alcohol use disorder (AUD) is a chronic condition marked by compulsive drinking and withdrawal-related negative affect. Histamine (HA) signaling, particularly via the histamine H3 receptor (H3R), may Show more
Alcohol use disorder (AUD) is a chronic condition marked by compulsive drinking and withdrawal-related negative affect. Histamine (HA) signaling, particularly via the histamine H3 receptor (H3R), may modulate alcohol-related behaviors. We investigated the effects of pitolisant, an FDA-approved H3R antagonist, on ethanol (EtOH)-related behaviors in mice. Adult male C57BL/6J mice underwent acute or chronic (2 or > 8 weeks) intermittent alcohol exposure. Pitolisant pretreatment was administered, and then pharmacological behavior, histologic, and molecular assays were conducted. Pitolisant administration reduced acute EtOH-induced locomotor activation, conditioned place preference, and sedative effects, and also curtailed EtOH intake. It alleviated anxiety and depression-like behavior during 24-h withdrawal (Post-EtOH). Mechanistically, the Post-EtOH condition was featured by complicated brain cFos expression mapping, including elevated cFos, [HA] and [glutamine]/[glutamate] ratio in the lateral habenula (LHb). However, systemic pitolisant treatment significantly increased [norepinephrine]/[normetanephrine] ratio, and restored the diminished phosphorylated CREB and BDNF levels in the LHb. Intra-LHb H2R antagonist cimetidine infusion partly blocked the pitolisant therapeutic effect on alcohol-related behavior. These findings highlight the HAergic system as a critical regulator of alcohol-related behaviors. The LHb HA signaling and norepinephrine neurotransmission might underlie pitolisant's potential novel therapeutic strategy for AUD. Show less
📄 PDF DOI: 10.1002/cns.70732
BDNF
Qi Fang, Xinyao Liu, Wei Huang +4 more · 2026 · Journal of food science · Blackwell Publishing · added 2026-04-24
Docosahexaenoic acid (DHA), one of the most critical polyunsaturated fatty acids, is vital for the neurological growth and cognitive function of infants and children. Approximately 98% of DHA in breas Show more
Docosahexaenoic acid (DHA), one of the most critical polyunsaturated fatty acids, is vital for the neurological growth and cognitive function of infants and children. Approximately 98% of DHA in breast milk exists as triglycerides, with 60% esterified at the sn-2 position. To demonstrate the necessity of mimicking the form of DHA present in breast milk in nutritional food for young children, this study administered diets with varying sn-2 DHA contents (10%, 30%, and 50%) to four groups of mice and analyzed their behavioral performance, brain DHA concentration, expression of brain fatty acid transport proteins, histopathology, and expression of synaptic-related proteins in the hippocampus after 4 weeks. The results showed that compared with the control group, mice in the 50% sn-2 DHA group exhibited superior learning and memory capabilities in behavioral tests, with the most pronounced behavioral improvements in mice, which correlated with higher brain DHA accumulation (from 0.870 ± 0.055 mg/g brain to 1.809 ± 0.132 mg/g brain, p < 0.05), increased levels of MFSD2A (1.40-fold, p > 0.05), FABP5 (2.36-fold, p < 0.05), FATP1 (1.47-fold, p < 0.05), and ACSL6 (1.48-fold, p < 0.05), improved hippocampal neuron morphology, and enhanced the level of BDNF (1.55-fold, p < 0.05), SYN (1.45-fold, p < 0.05), and PSD-95 (1.57-fold, p < 0.05). These findings establish a foundation for developing DHA nutritional supplements. Show less
no PDF DOI: 10.1111/1750-3841.70646
BDNF cognitive function cognitive performance dietary triglyceride docosahexaenoic acid fatty acids neurological growth polyunsaturated fatty acids
Meng Yang, Yuxiang Song, Lincheng Bai +4 more · 2026 · Neuroscience · Elsevier · added 2026-04-24
Cerebral infarction (CI) is characterised by a high incidence, significant disability, and increased mortality. Tongqiao Huoxue Decoction (TQHXD), a classical formula, is designed to promote blood cir Show more
Cerebral infarction (CI) is characterised by a high incidence, significant disability, and increased mortality. Tongqiao Huoxue Decoction (TQHXD), a classical formula, is designed to promote blood circulation and eliminate stasis. We investigated the effects of TQHXD on PC12 cells subjected to oxygen-glucose deprivation (OGD). The results demonstrated that during the early phase of OGD, TQHXD enhanced anaerobic glycolytic flux and increased ATP production, thereby compensating for energy deficits. Concurrently, lactate acts as a signalling molecule that binds to hydroxycarboxylic acid receptor 1 (HCAR1) and activates brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB), which protect PC12 cells from OGD-induced damage and reduce neuronal apoptosis. In the late phase of OGD, TQHXD facilitated the utilisation of lactate as an energy substrate in PC12 cells, generating ATP via lactate dehydrogenase B (LDHB), maintaining cellular energy homeostasis, protecting neurones, and reducing apoptosis. TQHXD modulates glycolysis and lactate metabolism, offering a potential therapeutic strategy for cerebral infarction and a possible sequential intervention approach for targeted therapy. Show less
no PDF DOI: 10.1016/j.neuroscience.2025.12.040
BDNF anaerobic glycolytic flux atp production bdnf-trkb pathway cerebral infarction glycolysis lactate oxygen-glucose deprivation
Binzhi Liao, Yumeng Mu, Mengliang Luo +8 more · 2026 · Osteoarthritis and cartilage · Elsevier · added 2026-04-24
Osteoarthritis (OA) often coexists with metabolic traits (MTs), causing significant disability. Our study aims to uncover the shared genetic mechanisms between OA and MTs, revealing novel OA-MT relate Show more
Osteoarthritis (OA) often coexists with metabolic traits (MTs), causing significant disability. Our study aims to uncover the shared genetic mechanisms between OA and MTs, revealing novel OA-MT related genes, proteins and pathways. We first explored the clinical associations between OA and MTs based on UK Biobank data. Using GWAS statistics for 9 OA subtypes and 51 MTs, we identified both global and regional genetic correlations. Multi-trait GWAS helped revealed credible genes and relevant pathways through various methods. Protein-level analyses were also conducted to identify key proteins. We developed polygenic scores (PGS), machine learning models and drug repurposing strategies were explored to translate these findings into clinical applications. We identified 152 trait pairs with significant associations and 709 local regions linked to OA-MT. Key SNVs like rs13135092 (SLC39A8) and rs34811474 (ANAPC4) were associated with multiple OA-MT pairs. Lipid and glucose metabolism emerged as central pathways, with tissue-specific enrichment analyses revealing key gene clusters in hepatocytes, arteries, and brain regions. Protein-level analyses identified 205 protein subgroups. PGS integrating MTs outperformed model based solely on OA, improving AUC by 17.5%. Causal gene-based models showed strong diagnostic accuracy (average AUC = 0.875 in external cohorts). Drug prediction highlighted fenofibrate as a promising treatment among 71 candidates. This study provides new insights into the genetic links between OA and MTs. We identified genes, proteins, and pathways related to comorbidities, revealing shared mechanisms, highlighting the potential of integrating metabolic factors to improve OA prediction, diagnosis, and treatment. Show less
no PDF DOI: 10.1016/j.joca.2025.10.010
ANAPC4
Yue Shi, Yongkang Yang, Xianghao Guo +11 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Early pregnancy loss (EPL), a spontaneous death of the embryo or foetus occurring within the first trimester, is a major challenge for human reproduction with profound adverse consequences for women's Show more
Early pregnancy loss (EPL), a spontaneous death of the embryo or foetus occurring within the first trimester, is a major challenge for human reproduction with profound adverse consequences for women's health. Currently, reliable blood-based biomarkers for EPL remain limited. Therefore, there is an urgent need to discover novel biomarkers for EPL using a multi-omics-based approach to facilitate early detection and timely management. In the discovery cohort, 40 patients with EPL and 40 healthy pregnancies (HP) at 7-13 weeks of gestation were enrolled. Serum proteins and metabolites were assayed by Olink® technology and ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS), respectively. Biomarkers were defined by false discovery rate (FDR) < 0.05 and fold change (FC) > 1.2. Random forest (RF) and logistic regression (LR) models incorporating selected biomarkers were employed to develop diagnostic models for EPL. In the external validation cohort, we prospectively enrolled 142 pregnancies at 7-10 gestational weeks, including 47 subjects who subsequently developed EPL and 95 pregnancies with full-term birth. Serum levels of selected biomarkers were quantified by ELISA. The combined proteomics and metabolomics screening identified 26 proteins and 21 metabolites significantly changed in the EPL group and tightly associated with EPL-related clinical phenotypes, with functional enrichment in immunoregulation and lipid oxidation processes. Moreover, integrating serum levels of angiopoietin-like 4 (ANGPTL4), programmed death-ligand 1 (PD-L1), neutrophil%, and lymphocyte% achieved an AUC of 0.944 (95% CI: 0.835-1.000) in the random forest model and 0.954 (95% CI: 0.875-1.000) in the logistic regression model to discriminate EPL from HP. Importantly, this four-biomarker model achieved an AUC of 0.857 (95% CI: 0.747-0.968) in the random survival forest model and a C-index of 0.804 (95% CI: 0.685-0.973) in the validation cohort for EPL prediction. Our integrative omics study reveals a panel of potential circulating biomarkers for EPL, which further offer mechanistic insights into EPL pathogenesis, including impaired maternal immune tolerance and dysregulated lipid metabolism pathways. Moreover, the newly identified biomarkers exhibit promising diagnostic and predictive performance for EPL, underscoring its clinical translational value for human reproduction and maternal-foetal health. This study was supported by Research Grants Council (RGC) Germany/Hong Kong Joint Research Scheme (G-CUHK415/25), 1+1+1 CUHK-CUHK(SZ)-GDST Joint Collaboration Fund (2025A0505000077), CUHK HOPE BWCH Collaborative Medical Research Fund (CF2025002), Shenzhen Medical Research Fund (C2501040), and Shenzhen Science and Technology Program (RCYX20210609104608036). Show less
📄 PDF DOI: 10.1016/j.ebiom.2026.106253
ANGPTL4
Shounan Lu, Shanjia Ke, Hongjun Yu +18 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Cancer-associated fibroblasts (CAFs) drive immunosuppression in hepatocellular carcinoma (HCC). However, their metabolic regulation remains poorly defined. We investigated the role of nicotinamide N-m Show more
Cancer-associated fibroblasts (CAFs) drive immunosuppression in hepatocellular carcinoma (HCC). However, their metabolic regulation remains poorly defined. We investigated the role of nicotinamide N-methyltransferase (NNMT) in CAFs. High NNMT expression in CAF tissues was confirmed by western blotting and immunofluorescence staining. Primary CAFs from HCC patients, single-cell RNA-seq (GSE149614), patient-derived organoids (PDOs), and fibroblast-specific NNMT-knockout mice were integrated by metabolomic analyses. NNMT in CAFs binds EZH2 and impedes its nuclear translocation, thereby reducing H3K27me3 enrichment at the promoter of angiopoietin-like 4 (ANGPTL4) to increase ANGPTL4 secretion. Secreted ANGPTL4 engages GLUT1 in HCC cells, activating aerobic glycolysis and increasing histone H3K18la levels. This epigenetic reprogramming transcriptionally upregulates PD-L1 expression, thereby facilitating tumor immune evasion. Additionally, CAF-derived ANGPTL4 promotes angiogenesis in HCC. Therapeutically, targeting the NNMT-ANGPTL4 axis restored CD8 We identified an NNMT-ANGPTL4-driven metabolic-epigenetic cascade in CAFs that induces PD-L1-mediated immune evasion, providing a therapeutic strategy to overcome resistance to immunotherapy in patients with HCC. Show less
no PDF DOI: 10.1002/advs.202521418
ANGPTL4
Xinpeng Li, Siqi Jin, Hong Hu +18 more · 2026 · Frontiers in microbiology · Frontiers · added 2026-04-24
Protein feed resource shortage is a major constraint to the sustainable development of the livestock industry and a bottleneck problem hindering the growth of the Tibetan pig industry in China's Qingh Show more
Protein feed resource shortage is a major constraint to the sustainable development of the livestock industry and a bottleneck problem hindering the growth of the Tibetan pig industry in China's Qinghai-Tibet Plateau region. Walnut meal, rich in protein, holds promise as a substitute for soybean meal. However, the effects and underlying mechanisms of walnut meal substitution on Tibetan pigs in Diqing remain unclear. The study showed that substituting 50% of soybean meal with walnut meal in the diet of Diqing Tibetan pigs significantly reduced backfat thickness and increased intramuscular fat content ( This study reveals that walnut meal can serve as a substitute for soybean meal, and a 50% substitution ratio is conducive to intramuscular fat deposition in Diqing Tibetan pigs. The findings provide valuable insights for the development and application of unconventional protein feed resources, and offer new perspectives for the production of marbled pork. Show less
📄 PDF DOI: 10.3389/fmicb.2026.1794046
ANGPTL4
Ziwen Li, Lipeng Guan, Tong Mu +11 more · 2026 · Diabetes · added 2026-04-24
Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults and often progresses to proliferative diabetic retinopathy (PDR) with irreversible complications. Anti-vascular endoth Show more
Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults and often progresses to proliferative diabetic retinopathy (PDR) with irreversible complications. Anti-vascular endothelial growth factor (VEGF) therapy remains the first-line treatment; however, resistance poses a significant challenge, necessitating alternative therapeutic targets. This study explores the role of angiopoietin-like protein 4 (ANGPTL4) in PDR pathogenesis, emphasizing vascular-immune-lymphatic interactions. We found significantly elevated ANGPTL4 and VEGF-C levels in the vitreous humor of patients with PDR, which were not affected by anti-VEGF therapy. In vivo, full-length ANGPTL4 and its C-terminal fragment promoted pathological angiogenesis and lymphatic-like remodeling in diabetic murine retinas, characterized by increased lymphatic vessel endothelial hyaluronan receptor 1, prospero homeobox 1, and VEGF receptor 3 (VEGFR3) expression. Single-cell sequencing further revealed ANGPTL4-driven immune dysregulation, with abnormal infiltration of CD4+ T cells and dendritic cells. Knockdown of ANGPTL4 in mice with oxygen-induced retinopathy alleviated retinal hypoxia, neovascularization, and vascular leakage. Mechanistically, retinal hypoxia markedly increased ANGPTL4 expression levels in the retina, which activated the activator protein-1 (AP-1) transcription factor complex and promoted Cd83 transcription in mouse heart microvascular endothelial cells. Additionally, ANGPTL4 bound to neuropilin-1 (NRP1)/VEGFR3, driving human lymphatic endothelial cell proliferation and lymphatic vessel ingrowth from the optic nerve sheath into the retina, a finding that suggests a novel pathway independent of angiopoietin-Tie signaling. These findings establish ANGPTL4 as a key mediator of immune-vascular interactions in PDR and a potential therapeutic target to address both pathological angiogenesis and lymphatic dysfunction. Some patients with proliferative diabetic retinopathy (PDR) have poor responses to anti-vascular endothelial growth factor (anti-VEGF) therapy. This situation highlights the need for additional therapeutic approaches. In proliferative diabetic retinopathy, what is the role of ANGPTL4 that differs from VEGF? We found that ANGPTL4 is elevated in the vitreous humor of patients with PDR who are poorly responsive to anti-VEGF therapy. ANGPTL4, particularly its C-terminal fragment, causes retinal lymphatic-like remodeling in diabetic mice. This study provides novel insights into the complex interplay between immune activation, neovascularization, and lymphatic-like remodeling in PDR. Our findings deepen our understanding of PDR pathophysiology and propose a promising therapeutic target. Show less
no PDF DOI: 10.2337/db25-0445
ANGPTL4
Le Yang, Ye Sun, Chuanning Li +9 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Damp-heat gout (DHG) is a highly certified type of disease integrated with syndrome in TCM. The ambiguity of its pathomechanism and the lack of quantifiable indicators limit its clinical accurate diag Show more
Damp-heat gout (DHG) is a highly certified type of disease integrated with syndrome in TCM. The ambiguity of its pathomechanism and the lack of quantifiable indicators limit its clinical accurate diagnosis and treatment. This study aimed to elucidate the pathological mechanism of DHG and establish a symptom-centered diagnostic and therapeutic model. We recruited 136 participants, comprising healthy controls (HCs) and DHG patients. Serum metabolomics and proteomics analyses were performed to screen common pathways. Based on the biological significance of these common pathways, a symptom-pathway correlation network was constructed to clarify the pathological mechanisms driving DHG occurrence and progression. Enrichment scores and correlations with key DHG symptoms were used to identify critical pathways. Differential metabolites and proteins associated with these critical pathways served to establish a multi-index diagnostic model and identify potential therapeutic protein targets. Integrated metabolomic and proteomic analyses revealed 21 common pathways associated with DHG. Four crucial pathways, such as Bile secretion, Cholesterol metabolism, Purine metabolism, Arachidonic acid metabolism, were exhibited significant correlations with core DHG symptoms. Furthermore, six pathway-related biomarkers were identified: Hypoxanthine, Prostaglandin E2, Uric acid, Deoxycholic acid, Taurochenodeoxycholic acid, and Bilirubin. The combined diagnostic efficacy of these biomarkers was optimal (discovery cohort: AUC = 0.987; validation cohort: AUC = 0.997). Six protein targets were identified from the crucial pathways, including ATP1A1, APRT, ANGPTL4, GLUT1, PTGES3 and LIPA. This study establishes a symptom-centered diagnostic and therapeutic model for DHG utilizing the identified biomarkers and clarifies the involvement of critical metabolic pathways in DHG pathogenesis, providing novel targets for improved clinical diagnosis and therapy. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1677920
ANGPTL4
Jiale Lv, Ningzhen Zhang, Xiaoping Yang +4 more · 2026 · Journal of ovarian research · BioMed Central · added 2026-04-24
no PDF DOI: 10.1186/s13048-026-01969-3
ANGPTL4
Chunxiao Li, Qinyuan Zhu, Xinhang Cao +6 more · 2026 · Non-coding RNA research · Elsevier · added 2026-04-24
Aberrant differentiation of keratinocytes has been implicated in various skin diseases. However, the impact of lncRNA on keratinocyte differentiation and RNA alternative splicing remains poorly unders Show more
Aberrant differentiation of keratinocytes has been implicated in various skin diseases. However, the impact of lncRNA on keratinocyte differentiation and RNA alternative splicing remains poorly understood. The primary aim of this study was to delineate the landscape of differentially expressed lncRNAs in keratinocytes undergoing differentiation and to elucidate the underlying molecular mechanisms. Primary human keratinocytes (HKEn) were subjected to comprehensive microarray analysis to identify the differentially expressed lncRNAs upon calcium stimulation. Loss-of-function experiments were carried out to explore the role of NR037661 in keratinocyte differentiation. RNA sequencing analysis was performed to study the potential target genes of NR037761. RNA pull-down assay, SDS-PAGE, silver staining and mass spectrometry analysis were utilized to explore the potential proteins that interacted with NR037761 and participated in NR037761-mediated keratinocyte differentiation. The effects of NR037761 on the alternative splicing and expression of Angiopoietin-like 4 (ANGPTL4) were analyzed by RT-PCR and Western blot. NR037661 specifically interacts with the splicing factor Serine/arginine repetitive matrix protein 2 (SRRM2), facilitating its nuclear localization. This interaction modulates the alternative splicing (AS) of ANGPTL4 mRNA, ultimately influencing keratinocyte differentiation. Our findings illuminate a novel regulatory mechanism underlying keratinocyte differentiation, potentially revealing new therapeutic targets for skin diseases. Show less
📄 PDF DOI: 10.1016/j.ncrna.2025.10.003
ANGPTL4
Cunming Yang, Zhen Ma, Xiao Wang +6 more · 2026 · Frontiers in veterinary science · Frontiers · added 2026-04-24
Xinjiang Brown cattle are an important beef breed in Northwest China. Although multigenerational selective breeding has improved their growth performance, the accompanying molecular adaptations and po Show more
Xinjiang Brown cattle are an important beef breed in Northwest China. Although multigenerational selective breeding has improved their growth performance, the accompanying molecular adaptations and potential physiological trade- ofs remain insufficiently elucidated at the systemic level. This study aimed to decipher the dynamic serum proteomic profiles shaped by both ontogeny and generational selection in Xinjiang Brown cattle, and to identify the associated key proteins and pathways. Serum samples from 18 bulls across three genera- tions (A, B, C) at 3 and 9 months of age were analyzed using Tandem Mass Tag (TMT)-based quantitative proteomics. Under stringent quality control (FDR < 1%), 583 high-confidence proteins were identified. Diferentially expressed proteins (DEPs) were screened using thresholds of |fold change| ≥ 1.2 and This study reveals that the breeding strategy for Xinjiang Brown cattle prioritizes shaping a proteomic landscape that promotes growth and metabolism, potentially at the cost of atten- uated immune-vascular reactivity. The identified panel of candidate proteins pro- vides a molecular framework for evaluating breeding outcomes and designing balanced selection strategies. Follow-up research should further investigate the functions of these candidate proteins and validate their predictive value for health and production performance in independent herds. Show less
📄 PDF DOI: 10.3389/fvets.2026.1723813
APOA4
Yehui Liang, Ruize Pan, Nian Liu +4 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the bio Show more
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the biomimetic fat globule membrane were optimized by comparing particle size, Zeta-potential and interface protein load. It was found that compared with sodium caseinate (CN) and whey protein (WP), when the lactoferrin (LF) concentration was 2 %, the particle size was lower (277.85 ± 6.15 nm) and Zeta-potential value was higher (19.67 ± 1.27 mv). Using milk phospholipid (MPL) as the outer layer material, when the MPL concentration was 2 %, the emulsion had a smaller particle size (291.33 ± 1.15 nm) and a better stability (10.22 ± 0.62 %). Therefore, the biomimetic multilayer membrane was constructed by electrostatic layer-by-layer deposition of 2 % LF and 2 % MPL. Combining Fluorescence and Fourier transform infrared spectroscopy (FTIR), the interaction between LF and MPL molecules in the LF-MPL multilayer structure is primarily a spontaneous, endothermic process driven by hydrophobic forces, exhibited superior stability (except thermal stability) than LF monolayer membrane. The results of in vitro digestion showed that compared with LF, WP and WP-MPL emulsions, LF-MPL emulsions had the highest free fatty acid (FFA) release rate of 69.97 %. LF-MPL enhanced gastric stability and promoted intestinal lipolysis and improved the degree of lipid digestion. In addition, LF-MPL promoted the absorption and utilization of triglyceride (TAG) in cells and animals, and secretion and upregulated lipid absorption genes (FATP4, DGAT1, APOB, APOA4, MTTP). These findings demonstrate that biomimetic LF-MPL multilayers improve lipid digestion, absorption, and bioavailability, providing a theoretical basis for designing more breast milk-like infant formulas. Show less
no PDF DOI: 10.1016/j.foodres.2025.118055
APOA4
Shujun Liu, Yating Ma, Bo Sun +3 more · 2026 · Journal of proteome research · ACS Publications · added 2026-04-24
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) re Show more
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) represent a promising source of biomarkers for the diagnosis of malignant pulmonary nodules. This study aimed to identify robust and clinically relevant EV-based protein biomarkers via isolation with EXODUS, a system that enables efficient direct capture of plasma EVs, followed by data-independent acquisition mass spectrometry (DIA-MS) for in-depth proteomic profiling. A total of 1383 proteins were identified from the plasma EVs obtained from 25 individuals (10 BPN and 15 early stage LUAD), while dysregulated protein signatures were revealed through differential expression analysis. Machine learning algorithms incorporating demographic variables, imaging features, EV protein profiles, and conventional tumor markers were applied to select diagnostic candidates. Random forest analysis revealed two upregulated proteins, NTN3 and APOA4, as promising biomarkers. Subsequently, their diagnostic performance and net clinical benefits were validated in an independent EV cohort (6 LUAD and 6 BPN) using ELISAs and decision curve analysis. In summary, we present an integrated pipeline that combines EXODUS-based isolation, DIA-MS, and machine learning to detect markers from plasma EVs for distinguishing early stage lung cancer from benign nodules. Show less
no PDF DOI: 10.1021/acs.jproteome.5c00610
APOA4
Ziyu Ge, Yang Yang, Pei Chen +12 more · 2026 · Biochemical pharmacology · Elsevier · added 2026-04-24
Depression is a heterogeneous psychiatric disorder with limited treatment efficacy, as 30-50% of patients exhibit inadequate responses to conventional monoaminergic antidepressants. Rhein, a bioactive Show more
Depression is a heterogeneous psychiatric disorder with limited treatment efficacy, as 30-50% of patients exhibit inadequate responses to conventional monoaminergic antidepressants. Rhein, a bioactive anthraquinone derived from Rheum palmatum, exhibits rapid and sustained antidepressant effects in both acute and chronic social defeat stress (CSDS) mouse models. Using quantitative proteomics on prefrontal cortex (PFC) samples from control, CSDS, Rhein-treated, and imipramine-treated cohorts, we identified differentially expressed proteins that revealed Rhein's multi-target regulatory profile. Functional enrichment and clustering analyses indicated that Rhein predominantly restores dysregulated pathways related to lipid metabolism, ribosomal translation, mitochondrial and endoplasmic reticulum (ER) function, and synaptic plasticity, forming a coherent mechanistic axis underlying its therapeutic effects. Comparative analysis with imipramine-treated mice further highlighted Rhein's distinct capacity to modulate organelle homeostasis and synaptic remodeling with greater breadth. Parallel reaction monitoring (PRM) and Western Blotting validated key proteins involved in mitochondrial functions (BNIP1, PISD, MRPL42, MRPS30, LRBA, IGHM), ER homeostasis (ACBD5, APOA4, RPL14), and synaptic plasticity (HDAC1, FAM3C, SSU72). These molecular findings suggest that Rhein exerts its antidepressant effects by restoring the functional integrity of mitochondria and the ER, thereby reprogramming synaptic plasticity. We inferred that this organelle-centered regulation further reinforces its potent modulation through multiple mechanisms and signaling pathways of synaptic plasticity, enabling Rhein to exert antidepressant effects through a coordinated, multi-layered mechanism. Collectively, our findings provide a systems-level mechanistic framework for Rhein's antidepressant efficacy and support its potential as a multi-pathway natural therapeutic, particularly for metabolic subtypes of depression. Show less
no PDF DOI: 10.1016/j.bcp.2025.117548
APOA4
Xin Lu, Tianyu Deng, Yue Liu +4 more · 2026 · Journal of animal science and biotechnology · BioMed Central · added 2026-04-24
Exosomes are crucial mediators of intercellular communication. As a key component of milk, milk-derived exosomes are abundant in genetic cargo, particularly microRNAs (miRNAs), indicating their potent Show more
Exosomes are crucial mediators of intercellular communication. As a key component of milk, milk-derived exosomes are abundant in genetic cargo, particularly microRNAs (miRNAs), indicating their potential role in regulating mammary gland physiology. Therefore, this study aimed to investigate the specificity of miRNAs in milk-derived exosomes and their regulatory roles in lipid synthesis in bovine mammary epithelial cells (BMECs). Based on 17,838 DHI records showing a significantly higher milk fat percentage (MFP) in late lactation (4.24% ± 1.07%), 10 high- (5.96% ± 0.26%, HMF) and 10 low-MFP (1.68% ± 0.23%, LMF) cows were selected during this stage for milk-derived exosome isolation and miRNA profiling. Exosomes isolated via differential ultracentrifugation were verified as 50-150 nm vesicles expressing CD9, CD81, and TSG101. miRNA sequencing identified 1,320 differentially expressed miRNAs (496 upregulated and 824 downregulated) between the HMF_EXO and LMF_EXO groups. Uptake assays confirmed that BMECs internalized these exosomes, and qRT-PCR validation showed that miR-423-5p and miR-125b were significantly upregulated and downregulated in HMF_EXO- and LMF_EXO-treated BMECs, respectively. Functionally, exosomal miR-423-5p promoted intracellular lipid accumulation and TG synthesis in BMECs by targeting APOA5, whereas miR-125b inhibited lipolysis and fatty acid oxidation by repressing SLC27A1. This study demonstrates that milk-derived exosomal miRNAs represent a novel mechanism for regulating milk fat synthesis. Specifically, miR-423-5p and miR-125b directly modulated lipid metabolism in BMECs via the miR-423-5p/APOA5 and miR-125b/SLC27A1 pathways. These findings provide new insights into the molecular regulation of milk fat synthesis and highlight the importance of exosome-mediated intercellular communication in the lactating mammary gland. Show less
📄 PDF DOI: 10.1186/s40104-025-01331-5
APOA5
Ye Yang, Anne P Beigneux, Troy L Lowe +21 more · 2026 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
Apolipoprotein AV (APOA5) regulates intravascular triglyceride metabolism by binding to the angiopoietin-like protein 3/8 complex (ANGPTL3/8) and suppressing its ability to unfold the native conformat Show more
Apolipoprotein AV (APOA5) regulates intravascular triglyceride metabolism by binding to the angiopoietin-like protein 3/8 complex (ANGPTL3/8) and suppressing its ability to unfold the native conformation of lipoprotein lipase (LPL). LPL unfolding results in loss of catalytic activity and the detachment of LPL from the surface of cells. An Show less
no PDF DOI: 10.1073/pnas.2528664123
APOA5
Min Zuo, Haixia Xu, Yuying Yang +7 more · 2026 · Communications biology · Nature · added 2026-04-24
Adolescent Idiopathic Scoliosis (AIS) is the most common form of spinal deformity among adolescents. To explore its etiology of progression and scoliosis-modifying drugs, chondrocytic senescence was c Show more
Adolescent Idiopathic Scoliosis (AIS) is the most common form of spinal deformity among adolescents. To explore its etiology of progression and scoliosis-modifying drugs, chondrocytic senescence was confirmed in AIS facet joint cartilage by analyzing clinical specimen. Furthermore, through 4D/480 label-free proteomics analysis, we identified an exosome-mediated positive feedback loop during scoliosis progression, which driving the elevation of cholesterol flow between spinal cartilage and vertebra. To further investigate the pathological significance of the loop in vivo, high-cholesterol flow was reconstructed in C57BL/6 J mice by injecting with recombinant adeno-associated virus rAAV9-Runx2-HMGCR. Our results confirmed the important role of the positive feedback loop in the development of scoliosis. Meanwhile, Avasimibe or/and Corylin were used to delay the scoliosis progression by targeting the key exosomal proteins APOB (Apolipoprotein B-100) or/and HSP90β (Heat Shock Protein 90-beta). This research extends the etiology of scoliosis progression and provides an alternative perspective for scoliosis non-surgical treatment. Show less
📄 PDF DOI: 10.1038/s42003-026-09960-w
APOB
Hechuan Wang, Yunuo Liu, Ke Jiang +6 more · 2026 · Poultry science · Elsevier · added 2026-04-24
Clutch length is a key determinant of reproductive efficiency in geese and strongly positively correlates with egg production. We recorded daily egg production in 280 individually housed Zi geese, cal Show more
Clutch length is a key determinant of reproductive efficiency in geese and strongly positively correlates with egg production. We recorded daily egg production in 280 individually housed Zi geese, calculated clutch-related indices, and selected 12 geese to form long-clutch (LC) and short-clutch (SC) groups for ovarian transcriptomic, proteomic, and metabolomic analyses. The results showed that egg number, large clutch length, large clutch number, average clutch length, and average clutch number were significantly higher in LC than in SC groups (P < 0.0001). Transcriptomic analysis identified 885 differentially expressed genes enriched in oocyte development and ovarian steroidogenesis, with APOB, PLA2G4C, MMP2, MMP9, and NOBOX as key genes; proteomic analysis identified 437 differentially abundant proteins enriched in arachidonic acid metabolism and mitophagy, with CXCL12, RARB, and MAD2L1 as key proteins; and metabolomic analysis identified 35 differentially abundant metabolites enriched in glycolysis/gluconeogenesis, with lactic acid, guanidinoacetic acid, and 3-hydroxybutyrylcarnitine as key metabolites. Integration of multi-omics datasets highlighted a lactate-associated cross-omics signature supported by YWHAZ at the protein level and by the lactate transporter SLC16A3. Collectively, these findings deepen our understanding of the molecular basis underlying clutch-length variation in goose ovaries and highlight candidate genes, proteins, and metabolites for future functional validation. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106731
APOB
Luyao Li, Yuanyuan Huo, Kun Wang +7 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
This study aimed to evaluate the effects of phytosterols (PSs) alone and in combination with phospholipids (PLs) on blood lipid levels, erythrocyte membrane fluidity (EMF) and lipid profiles in subjec Show more
This study aimed to evaluate the effects of phytosterols (PSs) alone and in combination with phospholipids (PLs) on blood lipid levels, erythrocyte membrane fluidity (EMF) and lipid profiles in subjects with borderline hyperlipidemia in a randomized, double-blind, placebo-controlled clinical trial. Among 144 initially screened participants, 87 were enrolled and randomly assigned to three groups receiving PSs (2 g of PSs), PSs and PLs (2 g of PSs plus 0.825 g of PLs), or placebo for 60 days, respectively. A total of 83 subjects completed the entire trial. After 60 days of intervention, the levels of total cholesterol (TC) and apolipoprotein B (ApoB) in the combined PSs and PLs group decreased by 7.8% and 6.4% ( Show less
no PDF DOI: 10.1039/d5fo04992j
APOB
Lingzhi Wu, Jianqin Wang, Yawei Wang +20 more · 2026 · Nature · Nature · added 2026-04-24
Orchestration of lipid production, storage and mobilization is vital for cellular and systemic homeostasis
📄 PDF DOI: 10.1038/s41586-026-10161-y
APOB
Jingjing Wang, Yayi Shen, Xiaowei Lin +3 more · 2026 · BMC musculoskeletal disorders · BioMed Central · added 2026-04-24
This study aims to investigate the underlying pathophysiological relationship between obesity and osteoporosis (OP) in obese individuals, involving lipid metabolism, inflammation, and bone mineral den Show more
This study aims to investigate the underlying pathophysiological relationship between obesity and osteoporosis (OP) in obese individuals, involving lipid metabolism, inflammation, and bone mineral density (BMD). Data from 318 patients diagnosed OP at our hospital between January 2023 to December 2025 were collected and analyzed. The basic information of the patient included gender, age, BMI, drinking and smoking history, diabetes, hypertension and bone mineral density (T-scores) were recorded. Baseline peripheral blood was employed to calculate lipid markers and inflammatory cytokines. Linear regression and mediation analyses were employed to assess the relevance and differences. Increased level of blood lipids and inflammatory cytokines were associated with increased risks of OP in obesity. Compared to normal-weight individuals, obese subjects exhibited significantly lower BMD. Dysregulated lipids (TC, TG, HDL-C, ApoB) negatively correlated with BMD in obesity. Pro-inflammatory cytokines (TNF-α, IL-1β, IL-6, IL-8) inversely associated with BMD, while anti-inflammatory IL-10 showed positive association. Hyperlipidemic obese individuals had elevated inflammatory cytokines (TNF-α, IL-1β) and exacerbated BMD loss. Mediation analysis revealed TNF-α mediated 41.91% and IL-6 mediated 33.20% of the TC-BMD association; TNF-α and IL-6 mediated 28.76% and 37.38% of HDL-C-BMD effects, respectively. Obesity-associated dyslipidemia drives BMD loss partly through inflammation-mediated pathways. Key inflammatory cytokines significantly mediate lipid metabolism’s impact on bone health. Targeting lipid-inflammatory crosstalk may optimize OP management in obese populations. Show less
📄 PDF DOI: 10.1186/s12891-026-09576-5
APOB
Yi Kong, Zhihai Chen, Shuo Zhou +5 more · 2026 · Environmental science & technology · ACS Publications · added 2026-04-24
Dietary intake is a primary route of exposure to polychlorinated biphenyls (PCBs). The absorption and adverse effects of pollutants are markedly influenced by sex. However, insights into sex-specific Show more
Dietary intake is a primary route of exposure to polychlorinated biphenyls (PCBs). The absorption and adverse effects of pollutants are markedly influenced by sex. However, insights into sex-specific differences in PCB oral bioavailability remain limited. In this study, PCB oral bioavailability was assessed in adult female and male Balb/c mice. At different exposure doses, the oral bioavailability of PCBs in female mice (14.2-22.8%) was significantly higher than that in male mice (12.3-18.8%). Correspondingly, males excreted a greater proportion of PCBs via feces, with fecal excretion percentages of 9.50-10.4% in males compared to 6.98-8.13% in females. Mechanistic analyses revealed that the higher PCB oral bioavailability in females was associated with greater dietary lipid assimilation efficiency and elevated postprandial serum apoB-48 levels, which are key indicators of chylomicron-mediated transport of lipophilic pollutants. Gut microbiota analysis revealed a more pronounced increase in Show less
no PDF DOI: 10.1021/acs.est.5c15390
APOB
Ruyu Yang, Xinmei Liu, Xinning Gai +4 more · 2026 · Analytical chemistry · ACS Publications · added 2026-04-24
Dyslipidemia is a major risk factor for atherosclerotic cardiovascular disease and poses serious health risks to humans. Apolipoprotein B (ApoB) is a comprehensive lipid-lowering efficacy marker, whil Show more
Dyslipidemia is a major risk factor for atherosclerotic cardiovascular disease and poses serious health risks to humans. Apolipoprotein B (ApoB) is a comprehensive lipid-lowering efficacy marker, while proprotein convertase subtilisin/kexin type 9 (PCSK9) is a crucial lipid-lowing target. The combination of PCSK9 and ApoB protein detection is helpful for screening PCSK9 inhibitors and providing synchronous feedback on the lipid-lowering efficacy. Addressing the limitations of traditional quantitative methods such as complicated procedures, lengthy workflows, low sensitivity, and challenges in the simultaneous detection of multiple biomarkers, a novel dual-component fluorescence immunoassay was developed, based on stimulus-responsive hollow mesoporous nanoparticles, noninterfering dyes, and DNA-labeled antibodies. It effectively enabled the concurrent quantification of PCSK9 and ApoB within a single testing process, eliminating the need for washing steps during the immunoreaction. When integrated with a paper chip, the system enabled imaging readout with a maximum throughput of 49 tests h Show less
no PDF DOI: 10.1021/acs.analchem.5c06359
APOB