👤 Jiangtao Huang

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
1370
Articles
1004
Name variants
Also published as: Ai-Chun Huang, Ai-long Huang, Aijie Huang, Ailong Huang, Aimin Huang, Alden Y Huang, An-Fang Huang, Annie Huang, Aohuan Huang, Ariane Huang, Baihai Huang, Baisong Huang, Bao-Hua Huang, Bao-Yi Huang, Baoqin Huang, Baoying Huang, Benjamin J Huang, Benlin Huang, Bevan E Huang, Bi Huang, Biao Huang, Bin Huang, Binfang Huang, Bing Huang, Bingcang Huang, Bingkun Huang, Bizhi Huang, Bo Huang, Bo-Shih Huang, Bor-Ren Huang, Bowen Huang, Boyue Huang, C Y Huang, Caihong Huang, Caiyun Huang, Can Huang, Canhua Huang, Caoxin Huang, Cathelin Huang, Catherine Huang, Chang Ming Huang, Chang X Huang, Chang-Jen Huang, Changjiang Huang, Chao Huang, Chao Wei Huang, Chao-Wei Huang, Chao-Yuan Huang, Chaolin Huang, Chaoqun Huang, Chaowang Huang, Chaoyang Huang, Chen Huang, Chen-Na Huang, Chen-Ping Huang, Cheng Huang, Chengcheng Huang, Chengrui Huang, Chenshen Huang, Chenxiao Huang, Chi-Cheng Huang, Chi-Shuan Huang, Chia-Chang Huang, Chia-Wei Huang, Chieh-Cheng Huang, Chieh-Liang Huang, Chien-Hsun Huang, Chih-Chun Huang, Chih-Hsiang Huang, Chih-Jen Huang, Chih-Ting Huang, Chih-Yang Huang, Chin-Chang Huang, Chin-Chou Huang, Ching-Shan Huang, Ching-Shin Huang, Ching-Tang Huang, Ching-Wei Huang, Chiu-Ju Huang, Chiu-Jung Huang, Chiun-Sheng Huang, Chong Huang, Chongbiao Huang, Christine S Huang, Chuan Huang, Chuanbing Huang, Chuanhong Huang, Chuanjiang Huang, Chuanjun Huang, Chuansheng Huang, Chuiguo Huang, Chun Huang, Chun-Mei Huang, Chun-Yao Huang, Chun-Yin Huang, Chunfan Huang, Chung-Hsiung Huang, Chunhong Huang, Chunjian Huang, Chunkai Huang, Chunlan Huang, Chunling Huang, Chunshuai Huang, Chunxia Huang, Chunyao Huang, Chunyi Huang, Chunying Huang, Chunyu Huang, Chuxin Huang, Chuying Huang, Congcong Huang, Cuiyu Huang, Da Huang, Dajun Huang, Dan Huang, Dane Huang, Danqing Huang, Dantong Huang, David Huang, David J Huang, De Huang, De-Jun Huang, Dejia Huang, Dengjun Huang, Dianhua Huang, Dishu Huang, Dong Huang, Donglan Huang, Dongmei Huang, Dongni Huang, Dongqin Huang, Dongqing Huang, Dongsheng Huang, Dongyu Huang, Du-Juan Huang, Emily C Huang, Enhao Huang, Enping Huang, Eric Huang, Erya Huang, F Huang, Fan Huang, Fang Huang, Fang-Ling Huang, Fangling Huang, Fei Huang, Fei Wan Huang, Feiruo Huang, Feiteng Huang, Feizhou Huang, Feng Huang, Fengxian Huang, Fengyu Huang, Franklin W Huang, Fu-Chen Huang, Fu-Mei Huang, Fubiao Huang, Fude Huang, Fuhao Huang, Furong Huang, G Huang, Gairong Huang, Gang Huang, Gao-Zhong Huang, Gaoxingyu Huang, Ge Huang, Guang-Jian Huang, Guang-Yun Huang, Guangjian Huang, Guangming Huang, Guangqian Huang, Guangrui Huang, Guanhong Huang, Guanling Huang, Guanning Huang, Guanqun Huang, Guanrong Huang, Guicheng Huang, Guodong Huang, Guohong Huang, Guoping Huang, Guoqian Huang, Guowei Huang, Guoxing Huang, Guoying Huang, Guoyong Huang, Guoyuan Huang, H Huang, H S Huang, Hai Huang, Haigang Huang, Haihong Huang, Hailin Huang, Haimiao Huang, Haixin Huang, Haiyan Huang, Han-Chang Huang, Hanxia Huang, Hao Huang, Hao-Fei Huang, Haobo Huang, Haochu Huang, Haomin Huang, Haoyu Huang, Haoyue Huang, Haozhang Huang, Haozhong Huang, He Huang, Hefeng Huang, Heguang Huang, Helen Huang, Heming Huang, Hengbin Huang, Heqing Huang, Hete Huang, Hong Huang, Hongbiao Huang, Hongcan Huang, Hongda Huang, Hongfei Huang, Hongfeng Huang, Honghui Huang, Hongou Huang, Hongqiang Huang, Hongyan Huang, Hongyang Huang, Hongyi Huang, Hongying Huang, Hongyu Huang, Hongyun Huang, Hsi-Yuan Huang, Hsien-Da Huang, Hsing-Yen Huang, Hsu Chih Huang, Hsuan-Cheng Huang, Hsuan-Ying Huang, Hu Huang, Hua Huang, Huafei Huang, Huaju Huang, Huan Huang, Huanhuan Huang, Huanliang Huang, Huapin Huang, Huashan Huang, Huayun Huang, Hui Huang, Hui-Huang Huang, Hui-Kuang Huang, Hui-Yu Huang, Huibin Huang, Huifen Huang, Huiling Huang, Huimin Huang, Huina Huang, Huiqiao Huang, Huixian Huang, Huixin Huang, Huiyan Huang, Huiyu Huang, Huizhe Huang, Huizhen Huang, Hy Huang, I-Chieh Huang, J V Huang, Janice J Huang, Jasmin Huang, Jeffrey K Huang, Jia Huang, Jia-Jia Huang, Jiaan Huang, Jiahui Huang, Jiajin Huang, Jiajun Huang, Jian Huang, Jian-Dong Huang, Jiana Huang, Jianbiao Huang, Jianbing Huang, Jianfang Huang, Jianfeng Huang, Jiangfeng Huang, Jiangwei Huang, Jianhua Huang, Jianlu Huang, Jianmin Huang, Jianming Huang, Jiansheng Huang, Jianzhen Huang, Jiao-Qian Huang, Jiaoti Huang, Jiaotian Huang, Jiaqi Huang, Jiawen Huang, Jiaxing Huang, Jiayu Huang, Jiayue Huang, Jie Huang, Jie Qi Huang, Jiechun Huang, Jieli Huang, Jieling Huang, Jieping Huang, Jin Huang, Jin-Di Huang, Jin-Feng Huang, Jin-Hong Huang, Jin-Yan Huang, Jinbao Huang, Jinfang Huang, Jing Huang, Jing-Fei Huang, Jingang Huang, Jinghan Huang, Jingjing Huang, Jingkun Huang, Jinglong Huang, Jingtao Huang, Jingxian Huang, Jingyong Huang, Jingyuan Huang, Jingyue Huang, Jinhua Huang, Jinling Huang, Jinlu Huang, Jinshu Huang, Jinxing Huang, Jinyan Huang, Jinzhou Huang, Jiuhong Huang, Jiyu Huang, Ju Huang, Juan Huang, Jucun Huang, Jun Huang, Jun-Hua Huang, Jun-You Huang, Junhao Huang, Junhua Huang, Junjie Huang, Junming Huang, Junning Huang, Junqi Huang, Junwen Huang, Junyuan Huang, Junyun Huang, Juxiang Huang, K Huang, K N Huang, Kai Huang, Kaipeng Huang, Kang Huang, Kangbo Huang, Kate Huang, Katherine Huang, Ke Huang, Ke-Ke Huang, Ke-Pu Huang, Kevin Huang, Kevin Y Huang, Kuan-Chun Huang, Kui-Yuan Huang, Kuiyuan Huang, Kun Huang, Kuo-Hsiang Huang, Kuo-Hung Huang, L Huang, L-B Huang, Laiqiang Huang, Lan Huang, Lanlan Huang, Lei Huang, Leijuan Huang, Li Huang, Li-Hao Huang, Li-Jiang Huang, Li-Juan Huang, Li-Jun Huang, Li-Ping Huang, Li-Rung Huang, Li-Wei Huang, Li-Yun Huang, Lian Huang, Liang Huang, Liang-Yu Huang, Liangchong Huang, Lianggui Huang, Libin Huang, Lige Huang, Lihua Huang, Lijia Huang, Lijiang Huang, Lijuan Huang, Lijun Huang, Lili Huang, Limin Huang, Liming Huang, Lin Huang, Linchen Huang, Ling Huang, Ling-Chun Huang, Ling-Jin Huang, Lingling Huang, Lining Huang, Linjing Huang, Linsheng Huang, Linxue Huang, Linyuan Huang, Liping Huang, Liqiong Huang, Lixia Huang, Lixiang Huang, Lixuan Huang, Lixue Huang, Lizhen Huang, Longfei Huang, Lu Huang, Lu-Jie Huang, Lu-Qi Huang, Luanluan Huang, Luqi Huang, Luyang Huang, Luyao Huang, Lvzhen Huang, M C Huang, Man Huang, Manning Y Huang, Manyun Huang, Mao-Mao Huang, Mei Huang, Meihua Huang, Meina Huang, Meixiang Huang, Melissa Y Huang, Meng-Chuan Huang, Meng-Fan Huang, Meng-Na Huang, MengQian Huang, Menghao Huang, Mengjie Huang, Mengjun Huang, Mengnan Huang, Mengting Huang, Mengzhen Huang, Mia L Huang, Miao Huang, Min Huang, Ming-Lu Huang, Ming-Shyan Huang, Mingjian Huang, Mingjun Huang, Minglei Huang, Mingrui Huang, Mingwei Huang, Mingxuan Huang, Mingyu Huang, Mingyuan Huang, Minjun Huang, Minqi Huang, Minxuan Huang, Minyuan Huang, N Huang, Na Huang, Nian Huang, Nianyuan Huang, Ning-Na Huang, Ning-Ping Huang, Ninghao Huang, Nongyu Huang, Pan Huang, Pang-Shuo Huang, Paul L Huang, Pei Huang, Pei-Chi Huang, Pei-Ying Huang, Peiying Huang, Peng Huang, Peng-Fei Huang, Pengyu Huang, Piao-Piao Huang, Piaopiao Huang, Pin-Rui Huang, Ping Huang, Pingping Huang, Pintong Huang, Po-Hsun Huang, Po-Jung Huang, Poyao Huang, Qi Huang, Qi-Tao Huang, Qian Huang, Qiang Huang, Qianqian Huang, Qiaobing Huang, Qibin Huang, Qidi Huang, Qin Huang, Qing Huang, Qing-yong Huang, Qingjiang Huang, Qingke Huang, Qingling Huang, Qingqing Huang, Qingsong Huang, Qingxia Huang, Qingxing Huang, Qingyu Huang, Qingzhi Huang, Qinlou Huang, Qiong Huang, Qiubo Huang, Qiumin Huang, Qiuming Huang, Qiuru Huang, Qiuyin Huang, Qiuyue Huang, Qizhen Huang, Quanfang Huang, Qun Huang, R H Huang, R Stephanie Huang, Rae-Chi Huang, Ran Huang, Renbin Huang, Renhua Huang, Renli Huang, Richard Huang, Richard S P Huang, Riqing Huang, Ritai Huang, Robert J Huang, Rong Huang, Rong Stephanie Huang, Ronghua Huang, Ronghui Huang, Rongjie Huang, Rongrong Huang, Rongxiang Huang, Ru-Ting Huang, Ruby Yun-Ju Huang, Rui Huang, Ruihua Huang, Ruijin Huang, Ruina Huang, Ruiyan Huang, Ruizhen Huang, Runyue Huang, Ruo-Hui Huang, S Huang, S Y Huang, S Z Huang, Saisai Huang, San-Yuan Huang, See-Chang Huang, Sen Huang, Serina Huang, Shan Huang, Shang-Ming Huang, Shanhe Huang, Shanshan Huang, Shaojun Huang, Shaoxin Huang, Shaoze Huang, Shau Ku Huang, Shau-Ku Huang, Shenan Huang, Sheng-He Huang, Shengfeng Huang, Shengjie Huang, Shengnan Huang, Shengyan Huang, Shengyun Huang, Shi-Feng Huang, Shi-Shi Huang, Shi-Ying Huang, Shiang-Suo Huang, Shichao Huang, Shih-Chiang Huang, Shih-Wei Huang, Shih-Yi Huang, Shihao Huang, Shijing Huang, Shilu Huang, Shixia Huang, Shiya Huang, Shiying Huang, Shiyun Huang, Shoucheng Huang, Shu Huang, Shu-Pang Huang, Shu-Pin Huang, Shu-Qiong Huang, Shu-Wei Huang, Shu-Yi Huang, Shu-ying Huang, Shuai Huang, Shuang Huang, Shungen Huang, Shuo Huang, Shushu Huang, Shutong Huang, Shuwen Huang, Si-Yang Huang, Sidong Huang, Sihua Huang, Sijia Huang, Sinchun Huang, Sisi Huang, Sixiu Huang, Song Bin Huang, Song-Mei Huang, Songmei Huang, Songming Huang, Songqian Huang, Steven Huang, Steven Kuan-Hua Huang, Suli Huang, Sung-Ying Huang, Susan M Huang, Suwen Huang, Taiqi Huang, Tang-Hsiu Huang, Tao Huang, Te-Hsuan Huang, Tengda Huang, Tengfei Huang, Tian Hao Huang, Tianhao Huang, Tianpu Huang, Tiantian Huang, Tieqiu Huang, Tim H Huang, Ting Huang, Tinghua Huang, Tingping Huang, Tingqin Huang, Tingting Huang, Tingxuan Huang, Tingyun Huang, Tong Huang, Tongsheng Huang, Tongtong Huang, Tony T Huang, Tse-Shun Huang, Tseng-Yu Huang, Tsung-Wei Huang, Tzu-Rung Huang, Wan-Ping Huang, Way-Ren Huang, Wei Huang, Wei-Chi Huang, Weibin Huang, Weicheng Huang, Weifeng Huang, Weihua Huang, Weijun Huang, Weiqi Huang, Weisu Huang, Weiwei Huang, Weixue Huang, Weizhen Huang, Wen Huang, Wen-yu Huang, Wenbin Huang, Wenda Huang, Wenfang Huang, Wenfeng Huang, Wenhua Huang, Wenji Huang, Wenjie Huang, Wenjun Huang, Wenqiao Huang, Wenqing Huang, Wenqiong Huang, Wenshan Huang, Wentao Huang, Wenxin Huang, Wenya Huang, Wenying Huang, Wunan Huang, Wuqing Huang, X F Huang, X Huang, Xi Huang, Xian-sheng HUANG, Xiang Huang, Xianghua Huang, Xianglong Huang, Xiangming Huang, Xianping Huang, Xianqing Huang, Xiansheng Huang, Xianwei Huang, Xianxi Huang, Xianxian Huang, Xianying Huang, Xianzhang Huang, Xiao Huang, Xiao-Fang Huang, Xiao-Fei Huang, Xiao-Ming Huang, Xiao-Song Huang, Xiao-Yan Huang, Xiao-Yong Huang, Xiao-Yu Huang, XiaoFang Huang, Xiaochun Huang, Xiaofei Huang, Xiaofeng Huang, Xiaohong Huang, Xiaohua Huang, Xiaojie Huang, Xiaojing Huang, Xiaojuan Huang, Xiaolan Huang, Xiaoli Huang, Xiaolin Huang, Xiaoman Huang, Xiaomin Huang, Xiaoqing Huang, Xiaoshuai Huang, Xiaowen Huang, Xiaowu Huang, Xiaoxia Huang, Xiaoyan Huang, Xiaoying Huang, Xiaoyu Huang, Xiaoyuan Huang, Xiaoyun Huang, Xiaozhun Huang, Xiayang Huang, Xichang Huang, Xie-Lin Huang, Xin Huang, Xin-Di Huang, Xinen Huang, Xinfeng Huang, Xingguo Huang, Xingming Huang, Xingqin Huang, Xingru Huang, Xingxu Huang, Xingya Huang, Xingzhen Huang, Xinwen Huang, Xinyi Huang, Xinying Huang, Xinyue Huang, Xinzhu Huang, Xiongfeng Huang, Xionggao Huang, Xiuju Huang, Xiuyun Huang, Xiuzhen Huang, Xiwen Huang, Xu Huang, Xu-Feng Huang, Xuan Huang, Xuanzhang Huang, Xucong Huang, Xudong Huang, Xue-Ying Huang, Xue-shuang Huang, Xuehong Huang, Xuejie Huang, Xuejing Huang, Xuejun Huang, Xuemei Huang, Xueming Huang, Xueqi Huang, Xuewei Huang, Xuezhe Huang, Xuhui Huang, Xuliang Huang, Xun Huang, Xuxiong Huang, Y Huang, Y Joyce Huang, Y S Huang, Ya-Chih Huang, Ya-Dong Huang, Ya-Fang Huang, Ya-Ru Huang, Yabo Huang, Yadong Huang, Yafang Huang, Yajiao Huang, Yajuan Huang, Yali Huang, Yamei Huang, Yan Huang, Yan-Lin Huang, Yan-Qing Huang, Yan-Ting Huang, Yang Huang, Yang Zhong Huang, Yangqing Huang, Yangyang Huang, Yanhao Huang, Yani Huang, Yanjun Huang, Yanlong Huang, Yanna Huang, Yanping Huang, Yanqin Huang, Yanqing Huang, Yanqun Huang, Yanru Huang, Yanshan Huang, Yansheng Huang, Yanxia Huang, Yanyan Huang, Yanyao Huang, Yao Huang, Yao-Kuang Huang, Yaowei Huang, Yatian Huang, Yating Huang, Ye Huang, Yechao Huang, Yen-Chu Huang, Yen-Ning Huang, Yen-Tsung Huang, Yeqing Huang, Yewei Huang, Yi Huang, Yi-Chun Huang, Yi-Jan Huang, Yi-Jia Huang, Yi-Wen Huang, Yi-ping Huang, Yichao Huang, Yichuan Huang, Yicong Huang, Yifan Huang, Yihao Huang, Yiheng Huang, Yihong Huang, Yikeng Huang, Yilin Huang, Yin Huang, Yin-Tsen Huang, Ying Huang, Ying-Hsuan Huang, Ying-Jung Huang, Ying-Zhi Huang, Yinghua Huang, Yingying Huang, Yingzhen Huang, Yingzhi Huang, Yiping Huang, Yiquan Huang, Yishan Huang, Yiwei Huang, Yixian Huang, Yizhou Huang, Yong Huang, Yong-Fu Huang, Yongbiao Huang, Yongcan Huang, Yongjie Huang, Yongqi Huang, Yongsheng Huang, Yongtong Huang, Yongye Huang, Yongyi Huang, Yongzhen Huang, Youheng Huang, Youyang Huang, Yu Huang, Yu-Ching Huang, Yu-Chu Huang, Yu-Chuen Huang, Yu-Chyi Huang, Yu-Fang Huang, Yu-Han Huang, Yu-Jie Huang, Yu-Lei Huang, Yu-Ren Huang, Yu-Shu Huang, Yu-Ting Huang, Yuan Huang, Yuan-Lan Huang, Yuan-Li Huang, Yuan-Lu Huang, Yuancheng Huang, Yuanpeng Huang, Yuanshuai Huang, Yuanyu Huang, Yuanyuan Huang, Yue Huang, Yue-Hua Huang, Yuedi Huang, Yueh-Hsiang Huang, Yuehong Huang, Yuejun Huang, Yueye Huang, Yuezhen Huang, Yufang Huang, Yufen Huang, Yuguang Huang, Yuh-Chin T Huang, Yuhong Huang, Yuhua Huang, Yuhui Huang, Yujia Huang, Yujie Huang, Yulin Huang, Yumei Huang, Yumeng Huang, Yun Huang, Yun-Juan Huang, Yunchao Huang, Yung-Hsin Huang, Yung-Yu Huang, Yunmao Huang, Yunpeng Huang, Yunru Huang, Yunyan Huang, Yuping Huang, Yuqi Huang, Yuqiang Huang, Yuqiong Huang, Yusi Huang, Yutang Huang, Yuting Huang, Yutong Huang, Yuxian Huang, Yuxin Huang, Yuxuan Huang, Yuyang Huang, Yuying Huang, Z Huang, Z Z Huang, Z-Y Huang, Zebin Huang, Zebo Huang, Zehua Huang, Zeling Huang, Zengwen Huang, Zhang Huang, Zhao Huang, Zhaoxia Huang, Zhe Huang, Zhen Huang, Zhenfei Huang, Zheng Huang, Zheng-Xiang Huang, Zhengwei Huang, Zhengxian Huang, Zhengxiang Huang, Zhengyang Huang, Zhenlin Huang, Zhenrui Huang, Zhenyao Huang, Zhenyi Huang, Zhi Huang, Zhi-Ming Huang, Zhi-Qiang Huang, Zhi-Xin Huang, Zhi-xiang Huang, Zhican Huang, Zhicong Huang, Zhifang Huang, Zhifeng Huang, Zhigang Huang, Zhihong Huang, Zhilin Huang, Zhilong Huang, Zhipeng Huang, Zhiping Huang, Zhiqi Huang, Zhiqiang Huang, Zhiqin Huang, Zhiqing Huang, Zhitong Huang, Zhiwei Huang, Zhixiang Huang, Zhiying Huang, Zhiyong Huang, Zhiyu Huang, Zhongbin Huang, Zhongcheng Huang, Zhongfeng Huang, Zhonglu Huang, Zhouyang Huang, Zi-Xin Huang, Zi-Ye Huang, Zicheng Huang, Zichong Huang, Zihan Huang, Zihao Huang, Ziheng Huang, Ziling Huang, Zini Huang, Zirui Huang, Zizhan Huang, Zongjian Huang, Zongliang Huang, Zunnan Huang, Zuotian Huang, Zuxian Huang, Zuyi Huang
articles
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
H Xiao, Y Huang, J Du · 2026 · SAR and QSAR in environmental research · Taylor & Francis · added 2026-04-24
Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutants like polystyrene microplastics (PS-MPs) may disrupt metabolic homoeostasis though mechanistic ins Show more
Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutants like polystyrene microplastics (PS-MPs) may disrupt metabolic homoeostasis though mechanistic insights remain limited. This study integrated cross-species transcriptomics (from zebrafish and human adipose datasets), network toxicology, machine learning, and molecular docking to explore this link. We identified 40 overlapping genes between childhood obesity related DEGs and PS-MPs related genes, enriched in lipid metabolic pathways such as cholesterol homoeostasis and insulin signalling. Topological and machine-learning analyses highlighted hub genes, which showed strong diagnostic accuracy. Molecular docking further revealed stable binding (energy < -5.0 kcal/mol) between PS-MPs and key targets (APOB、BUB1、CDC20 and PPARGC1A). Our integrative analysis suggests that PS-MPs may act as an environmental trigger that could disrupt conserved lipid and metabolic homoeostasis by targeting key hub genes (APOB、BUB1、CDC20 and PPARGC1A). These findings provide a novel molecular hypothesis linking PS-MPs exposure to childhood obesity and support precautionary measures. Show less
no PDF DOI: 10.1080/1062936X.2026.2629397
APOB
Jiaomei Li, Kaixin Pan, Yuxuan Zhang +8 more · 2026 · Scientific reports · Nature · added 2026-04-24
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial Show more
Acute alcohol consumption is known to exert widespread physiological effects, yet the immediate impacts on metabolic biomarkers remain incompletely understood. The present randomized controlled trial was conducted to investigate the acute effects of a single episode of alcohol ingestion on various biomarkers in healthy individuals. A total of 45 male participants were recruited and randomized into an alcohol group (n = 40) and a control group (n = 5) at an 8:1 ratio. Volunteers in the alcohol group ingested 40% Absolut vodka within 15 min. Blood pressure, heart rate, and blood oxygen saturation were measured at 0 h, 1 h, 3 h, 5 h, 12 h, and 24 h. Venous blood samples were drawn at 0 h, 1 h, 5 h, 12 h, and 24 h after alcohol intake. Our results showed that levels of liver function markers, including α-fucosidase (AFU), albumin (ALB), and alkaline phosphatase (ALP), were significantly increased in the alcohol group compared to the control group. The 24-h area under curve (AUC) of AFU, ALB, and ALP were significantly higher in the alcohol group. The liver fibrosis maker collagen type Ⅳ (Ⅳ-C) tended to be higher at 1 h and 12 h in the alcohol group compared to the control group. Lipid levels, including triglycerides (TG), apolipoprotein A1 (APOA1), and the APOA1/APOB, were significantly elevated after alcohol ingestion, particularly at 5 h and 12 h. The 24 h-AUC of TG, APOA1, and APOA1/APOB were higher in the alcohol group than in the control group. Additionally, cardiac function indicators, including heart rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP), were significantly elevated in the alcohol group. SBP and DBP remained higher 24 h after alcohol ingestion compared to the control group. This study demonstrated that even a single episode of binge drinking could induce significant alterations of biomarkers related to liver function, cardiac function, and lipid profiles. These findings provided valuable insights into the short-term impact of alcohol on health and highlighted the importance of further research to explore the long-term implications of repeated acute alcohol exposure. Given the very small control group, these results should be interpreted as preliminary and confirmed in larger, more balanced randomized trials. The online version contains supplementary material available at 10.1038/s41598-026-40028-1. Show less
📄 PDF DOI: 10.1038/s41598-026-40028-1
APOB
Weikun Zhao, Ruiyan Huang, Renxuan Qin +4 more · 2026 · Frontiers in cardiovascular medicine · Frontiers · added 2026-04-24
Coronary heart disease (CHD) burden is increasing, and traditional obesity measures inadequately capture fat distribution and associated CHD risk. A body shape index (ABSI) is an emerging anthropometr Show more
Coronary heart disease (CHD) burden is increasing, and traditional obesity measures inadequately capture fat distribution and associated CHD risk. A body shape index (ABSI) is an emerging anthropometric metric of fat distribution, but evidence linking ABSI to CHD is limited, particularly in the Chinese population. This case-control study in southern China investigated the association of ABSI and related factors with CHD risk, aiming to facilitate early identification of high-risk individuals. We retrospectively studied 996 patients who underwent coronary angiography in a southern Chinese hospital. After strict screening and propensity score matching (PSM), 125 patients with CHD (>50% coronary stenosis) and 125 controls (<50% stenosis) were selected. Key CHD risk predictors were identified using feature-selection techniques (LASSO regression, recursive feature elimination, random forest importance). Univariate and multivariate logistic regression models were constructed for CHD prediction. Model performance was evaluated by receiver operating characteristic (ROC) analysis and compared to individual predictors using the DeLong test. A nomogram was developed for individualized risk estimation. Baseline characteristics were well matched between CHD and control groups after PSM. Across feature-selection methods, the most influential predictors for CHD included ABSI, prealbumin (PA), direct-to-total bilirubin ratio (DB/TB), apolipoprotein B (ApoB), globulin (GLO), apolipoprotein A-I (ApoA-I), and essential hypertension (EH). Each of these factors showed a significant univariate association with CHD ( This study identifies ABSI as a potential predictor of CHD risk among southern Chinese populations. Integrating ABSI with other candidate predictors improves the model's predictive performance. A multifactorial approach may better characterize CHD risk in this population and could inform prevention strategies. Show less
📄 PDF DOI: 10.3389/fcvm.2026.1698541
APOB
Pei Zhang, Huaihai Lu, Xuze Li +6 more · 2026 · BMC medical genomics · BioMed Central · added 2026-04-24
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in th Show more
Sepsis is a syndrome caused by the host's inflammatory response to an infection with an unknown mechanism. This study aimed to identify differentially expressed genes (DEGs) potentially involved in the development and recovery of tracheal injury from septic shock. Nine New Zealand white rabbits were randomized to control (CON), septic shock model (SS), and septic shock norepinephrine treatment (SSNE) groups (each group n = 3). The SS and SSNE groups were injected with lipopolysaccharide to induce septic shock. The SSNE group was administered Ringer lactate with norepinephrine to maintain normal blood pressure. All animals underwent cuffed endotracheal intubation for 2 h. The injured tracheal segment was harvested. RNA sequencing was performed to identify the DEGs, followed by bioinformatics analysis, and pathological staining (both HE and Masson) was performed for pathological evaluation. Bioinformatics analysis included principal component analysis (PCA), gene set enrichment analysis (GSEA), and protein-protein interaction (PPI) network construction. Key findings were validated by qRT-PCR and immunohistochemistry. We obtained 124 upregulated and 28 downregulated DEGs in SS vs. CON groups, along with 60 upregulated and 178 downregulated DEGs in SSNE vs. SS groups. The pathological score showed that trachea tissue in the SS group had the highest score. The protein-protein interaction (PPI) prediction identified APOB and CD36 as the hub genes. The molecular experiments further confirmed that at mRNA and protein levels, APOB was significantly upregulated, while CD36 was significantly downregulated. Subsequent qRT-PCR and immunohistochemical analyses confirmed that APOB expression was significantly upregulated while CD36 was downregulated in the septic shock group, a trend partially reversed by norepinephrine treatment. Our study results suggest that APOB and CD36 may be involved in the pathogenesis of tracheal injury recovery in septic shock patients treated with NE. Not applicable. Show less
📄 PDF DOI: 10.1186/s12920-025-02304-3
APOB
Shuxu Wei, Lingbin He, Youti Zhang +8 more · 2026 · International journal of surgery (London, England) · added 2026-04-24
The triglyceride-glucose (TyG) index, an insulin resistance marker linked to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), underscores the redox imbalance-mediat Show more
The triglyceride-glucose (TyG) index, an insulin resistance marker linked to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), underscores the redox imbalance-mediated crosstalk between MASLD and cardiovascular-liver-metabolic health (CLMH), although its causal mechanisms and molecular drivers remain unresolved. We employed a multi-omics framework to integrate Mendelian randomization (MR) and transcriptome-wide association studies (TWAS). MR leveraged 192 genome-wide significant single-nucleotide polymorphisms for TyG from the UK Biobank, employing inverse-variance weighted (IVW) and generalized summary-data MR (GSMR). Transcriptomic integration utilized four approaches: Multi-marker Analysis of GenoMic Annotation for gene-set enrichment; Joint-Tissue Imputation PrediXcan (JTI-PrediXcan) for tissue-specific expression; Sparse Multi-Tissue Imputation Xcan (SMulTiXcan) for cross-tissue meta-analysis; and Fine-mapping of Causal Gene Sets (FOCUS) for Bayesian fine-mapping. Comorbid genes were validated using Functional Summary-based Imputation (FUSION) and prioritized based on the Polygenic Priority Score (PoPS). Single-cell spatial transcriptomics (sc-ST) in embryonic mice (E16.5) mapped tissue-specific expression via genetically informed spatial mapping (gsMap). The MR analysis demonstrated a causal effect of TyG on MASLD risk [IVW: odds ratio (OR) = 1.58, 95% CI = 1.04-2.38, P = 0.030; GSMR: OR = 1.43, 95% CI = 1.27-1.61, P = 5.20 × 10 -9 ]. TWAS identified 12 comorbid genes (C2orf16/SPATA31H1, FNDC4, GCKR, GMIP, HAPLN4, LPAR2, MAU2, MEF2B, NDUFA13, NRBP1, TM6SF2, and ZNF513). Independent validation using the FUSION framework confirmed nine TyG-MASLD comorbid genes with genome-wide significant false discovery rate-adjusted associations. Notably, TM6SF2 (TyG-PoPS = 7.2491) and GCKR (TyG-PoPS = 6.7102) showed strong positive associations in TyG, whereas NDUFA13 exhibited negative scores in MASLD (PoPS = -0.5028). Spatial mapping revealed conserved enrichment of APOA1, APOB, and APOC4 (sc-ST, P < 0.001) in murine liver and vascular tissues. Organ-specific analysis showed significant MASLD signals including the liver (sc-ST, P = 6.43 × 10 -5 ), adrenal gland (Cauchy P = 0.0064), and connective tissue (sc-ST, P = 3.29 × 10 -5 ). This study establishes TyG as a causal MASLD driver mediated by redox-sensitive hubs and evolutionarily conserved apolipoproteins, linking hepatic lipid peroxidation to systemic metabolic dysregulation. Targeting these pathways may mitigate dual hepatic-cardiovascular risks, advancing precision therapies for CLMH. Show less
📄 PDF DOI: 10.1097/JS9.0000000000003576
APOB
Yu-Ting Chin, Pei-Wen Wu, Pin-Rui Huang +5 more · 2026 · Pediatric research · Nature · added 2026-04-24
This study developed and validated a continuous metabolic syndrome (MetS) risk score (msRS) for adolescents and evaluated its clinical utility in identifying multiple clinical cardiovascular markers ( Show more
This study developed and validated a continuous metabolic syndrome (MetS) risk score (msRS) for adolescents and evaluated its clinical utility in identifying multiple clinical cardiovascular markers (CCMs) using dual adolescent populations. Adolescents aged 12‒18 from two stratified random samples were used: the nationwide Nutrition and Health Survey in Taiwan (NAHSIT, n = 1920) for development and the Adiposity‒Cardiovascular Disease Axis study in Southern Taiwan (adiCards, n = 3295) for validation. Four sex-and-age-specific msRS were developed through confirmatory factor analysis (CFA) utilizing five MetS components-waist circumference, high-density lipoprotein cholesterol, triglycerides, fasting glucose, and mean arterial pressure. Their discriminatory ability for clinical outcomes was validated using the area under receiver operating characteristic (AU-ROC) curve. The msRS demonstrated exceptional capability in detecting MetS in NAHSIT and adiCards cohorts (AU-ROCs: 0.954‒0.969). Adjusted for covariates, msRS explained higher variability in body-fat percentage, apolipoproteins B/A1, and homeostatic model assessment of insulin resistance (HOMA-IR) than binary MetS and abnormal components count (partial R The CFA-derived sex-and-age-adjusted msRS scheme provides an improving measure to assess and manage adolescent cardiometabolic health. Adolescent MetS components share a latent metabolic construct. A scoring system through confirmatory factor analysis captures sex-and-age specific metabolic heterogeneity. Continuous risk score accurately discriminates pediatric MetS. MetS risk score effectively detects pediatric cardiovascular risk. Consideration of population characteristics is essential when developing a continuous MetS score. Show less
📄 PDF DOI: 10.1038/s41390-025-04419-w
APOB
Jingjing Chen, Yannan Guo, Liang Huang +4 more · 2026 · Pediatric nephrology (Berlin, Germany) · Springer · added 2026-04-24
Patients on dialysis often suffer from carnitine deficiency due to reduced intake, reduced synthesis in the kidneys, and clearing through dialysis. Carnitine deficiency may lead to anemia, cardiomyopa Show more
Patients on dialysis often suffer from carnitine deficiency due to reduced intake, reduced synthesis in the kidneys, and clearing through dialysis. Carnitine deficiency may lead to anemia, cardiomyopathy, hypotension, and so on. Several studies have shown that supplementing with L-carnitine can diminish the above symptoms in adult dialysis patients, but whether children can benefit from L-carnitine remains unclear. This study was performed to investigate the effect of L-carnitine in children with kidney failure undergoing dialysis. PubMed, Embase, The Cochrane Library, China National Knowledge Infrastructure (CNKI), WanFang Data, and VIP database were electronically searched from database inception to December 2023.  STUDY ELIGIBILITY CRITERIA: We included randomized controlled trials (RCTs), cohort studies, case-control studies, cross-section studies, and case series studies that evaluated the impact of L-carnitine on children. Patients aged less than 18 years with kidney failure undergoing dialysis.  STUDY APPRAISAL AND SYNTHESIS METHODS: We assessed the quality of studies using the RoB2 tool recommended by the Cochrane Handbook, the Newcastle-Ottawa Quality Assessment Scale (NOS), the checklist recommended by Agency for Healthcare Research and Quality (AHRQ), and the quality evaluation tool recommended by the National Institutes of Health (NIH). We conducted only descriptive analyses and did not perform meta-analysis due to significant differences in study types and limited data. A total of 194 patients were included in 9 studies, of which 3 were RCT studies; 2 were cohort studies, and 4 were case series studies. Due to limited data, we only conducted descriptive analysis rather than meta-analysis. For children undergoing hemodialysis, cohort study of high-quality showed that L-carnitine significantly improved hemoglobin (Hb) and reduced the required erythropoiesis-stimulating agent (ESA) dose; RCT study of moderate-quality indicated that L-carnitine did not influence serum lipid profiles except for reducing apolipoprotein B (ApoB). Cohort study of moderate-quality showed that L-carnitine improved cardiac function; RCT study of moderate-quality indicated that L-carnitine did not influence albumin, C-reactive protein (CRP), interleukin-6 (IL-6), and quality of life. For children undergoing peritoneal dialysis, only serum lipid profiles were analyzed. RCT and case series studies of moderate-quality indicated that L-carnitine did not influence serum lipid profiles except for reducing ApoB. The number of studies enrolled was limited, and their quality was not high. Our study found that children with kidney failure requiring dialysis could partially benefit from L-carnitine, including increased Hb, decreased ESA requirement, reduced ApoB, and improved cardiac function. Further RCTs of high quality are still needed to clarify this issue. This study provided more comprehensive and credible evidence for clinical use of L-carnitine in children. PROSPERO registration number CRD420250649553. Show less
no PDF DOI: 10.1007/s00467-025-06929-5
APOB
Jie Huang, Xingyuan Hou, Ni Zhou +7 more · 2026 · Cardiovascular drugs and therapy · Springer · added 2026-04-24
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of ph Show more
Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of phenylacetylglutamine (PAGln), a novel gut microbiota metabolite, in Dox-induced cardiotoxicity (DIC). DIC models were established in vivo and in vitro, and a series of experiments were performed to verify the cardioprotective effect of PAGln. RNA sequencing (RNA-seq) was employed to explore the mechanism of PAGln in DIC. Subsequently, the differentially expressed genes (DEGs) were subjected to comprehensive analysis using diverse public databases, and RT-PCR was used to confirm the expression levels of the candidate genes. Finally, molecular docking techniques were used for validation. PAGln effectively prevented both in vivo and in vitro Dox-induced myocardial injury and cell apoptosis. RNA-seq results showed that 40 genes were up-regulated and 54 down-regulated in the Dox group compared to the Con group, displaying opposite changes in the Dox + PAGln group. Enrichment analysis highlighted several mechanisms by which PAGln alleviated Dox-induced cardiotoxicity, including the lipid metabolic process, calcium-mediated signaling, positive regulation of store-operated calcium channel activity, and hypertrophic cardiomyopathy. In vitro and in vivo experiments confirmed that PAGln treatment could reverse the changes in the expression levels of Klb, Ece2, Nmnat2, Casq1, Pak1, and Apob in Dox. Molecular docking results showed that these genes had good binding activity with PAGln. PAGln shows potential in alleviating Dox-induced cardiotoxicity, with Ece2 identified as key regulatory molecules related to endothelial dysfunction. Show less
📄 PDF DOI: 10.1007/s10557-024-07665-y
APOB
Yufei Han, Yixue Zhao, Zihao Zhou +8 more · 2026 · BMC medicine · BioMed Central · added 2026-04-24
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associ Show more
Ischemic heart failure (IHF) is one of the leading causes of death in the world. Plasma apolipoprotein C3 (ApoC3) levels are significantly elevated in patients with heart failure and positively associated with the incidence of ischemic heart disease (IHD). However, the causal association between ApoC3 and IHD development is unclear. ApoC3 expression changes were assessed in plasma from IHF patients/healthy donors and cardiac tissue from rodent models. 10-week-old male human ApoC3 transgenic (ApoC3 Overexpression of human ApoC3 in ApoC3 ApoC3 overexpression could activate cardiac TLR2/NF-κB to trigger the inflammation, oxidation, and apoptosis pathways, finally aggravating IHF in mice. Inactivation of ApoC3 could significantly alleviate IHF in hamsters. Show less
no PDF DOI: 10.1186/s12916-026-04855-3
APOC3
Zihao Zhou, Jinxuan Chen, Huan Wang +16 more · 2026 · Redox biology · Elsevier · added 2026-04-24
Vascular calcification (VC) is prevalent in patients with chronic renal failure (CRF), and it is closely related to the morbidity and mortality of cardiovascular diseases; however, no medical treatmen Show more
Vascular calcification (VC) is prevalent in patients with chronic renal failure (CRF), and it is closely related to the morbidity and mortality of cardiovascular diseases; however, no medical treatments are available for this condition. Recent clinical studies have shown that plasma apolipoprotein C3 (ApoC3) levels are positively correlated with VC. However, whether ApoC3 is involved in VC remains unclear. Sections of calcified renal arteries from CRF patients were immunostained to measure calcium deposition and ApoC3 expression. VC was induced in ApoC3 transgenic (Tg) and knockout (KO) mice by both 5/6 nephrectomy and vitamin D ApoC3 expression levels were increased in calcified arteries from mice and patients with CRF. ApoC3 overexpression exacerbated calcium deposition in the calcified aortas from Tg mice in vivo, and in calcified aortic rings of Tg mice ex vivo and VSMCs infected by adenovirus of ApoC3 in vitro. Consistently with these findings, ApoC3 deficiency alleviated these effects. Furthermore, ApoC3 overexpression increased ferroptosis in calcified aortas and VSMCs, whereas ApoC3 deficiency suppressed ferroptosis. Further investigation revealed that ApoC3 inhibited the AMPK/NRF2 signaling pathway through toll-like receptor 2 (TLR2) in calcified VSMCs, downregulated the expression of solute carrier family 7 member 11 (SLC7A11) and glutathione peroxidase 4 (GPX4), subsequently increased lipid peroxidation and promoted ferroptosis, ultimately exacerbating calcification in the VSMCs. Furthermore, we found that knockdown of ApoC3 by siRNA remarkably attenuated calcification of renal arterial rings in humans. We demonstrated that ApoC3 exacerbated VC and increased the osteogenic transdifferentiation in VSMCs by increasing ferroptosis. ApoC3 might be a potential target for VC treatment. Show less
📄 PDF DOI: 10.1016/j.redox.2026.104088
APOC3
Wen-Ying Wang, Lin-Guang Dai, Jun-You Huang +5 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Carcass growth and development are crucial evaluation indicators influencing the economic efficiency of goats (
📄 PDF DOI: 10.3390/ani16071031
APOE
Neil V Yang, Shaowei Wang, Boyang Li +6 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
While the apolipoprotein E (APOE) ε4 allele is a major risk factor for Alzheimer's disease (AD), the role of translocase of outer mitochondrial membrane 40 (TOMM40)-an adjacent gene involved in mitoch Show more
While the apolipoprotein E (APOE) ε4 allele is a major risk factor for Alzheimer's disease (AD), the role of translocase of outer mitochondrial membrane 40 (TOMM40)-an adjacent gene involved in mitochondrial protein import-is not known. Human brain tissue, human induced pluripotent stem cell-derived neurons (iNeurons), and mice were used for study of gene expression, cholesterol metabolism, mitochondrial function, and animal cognition. Human brain transcriptomics showed reduced TOMM40 expression that correlated with cholesterol regulatory gene expression, amyloid burden, and clinical AD diagnosis. In human iNeurons, TOMM40 knockdown (KD) disrupted mitochondria-endoplasmic reticulum contact sites (MERCs), causing mitochondrial dysfunction and promoting reactive oxygen species that led to activation of liver X receptor beta (NR1H2), upregulation of APOE and low-density lipoprotein receptor (LDLR), and increased cellular cholesterol and amyloid beta (Aβ)42 independent of APOE ε4. Consistently, Tomm40 KD in mice induced increased brain cholesterol, Aβ42 content, and impaired memory. TOMM40 is a novel mediator of AD pathology through dual effects on MERCs that regulate cholesterol homeostasis and mitochondrial function. Show less
📄 PDF DOI: 10.1002/alz.71306
APOE
W Hudson Robb, Gurkiran Kaur, Steven Huang +16 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Anti-amyloid-β (Aβ) therapies are reshaping Alzheimer's disease (AD) management. Understanding changes in real-world patterns of diagnostic testing and infusion chair usage is essential for optimizing Show more
Anti-amyloid-β (Aβ) therapies are reshaping Alzheimer's disease (AD) management. Understanding changes in real-world patterns of diagnostic testing and infusion chair usage is essential for optimizing access to care. Retrospective analysis of Mayo Clinic enterprise electronic health records (Jan 2019-Mar 2025) assessed trends in AD-relevant brain imaging, fluid biomarkers, apolipoprotein E (APOE) testing, and lecanemab infusions. Rates of amyloid-beta (Aβ) positivity by sex and age, APOE genotype frequencies, and lecanemab treatment initiation and discontinuation were evaluated. Following national insurance coverage changes, lecanemab infusions grew by 110 infusions per quarter to 605 in Q1 2025. Aβ positron emission tomography scans increased (+22/quarter), cerebrospinal fluid biomarker orders declined (-25/quarter), and plasma p-tau The adoption of anti-Aβ therapies coincided with a rapid shift in diagnostic workflows. Show less
📄 PDF DOI: 10.1002/alz.71343
APOE
Ruiqi Mao, Yi Guo, Ling Jiang +10 more · 2026 · International journal of biological sciences · added 2026-04-24
Vascular remodeling involves structural and functional vascular changes in response to injury, aging, and disease. A key pathological feature is vascular smooth muscle cells (VSMCs) phenotypic switchi Show more
Vascular remodeling involves structural and functional vascular changes in response to injury, aging, and disease. A key pathological feature is vascular smooth muscle cells (VSMCs) phenotypic switching, which is accompanied by mitochondrial dysregulation. Metabolic reprogramming resembling the Warburg effect alongside mitochondrial oxidative damage collectively drive this pathological VSMC transdifferentiation. We hypothesized that targeting mitochondrial ROS could restore mitochondrial integrity and enhance oxidative phosphorylation (OXPHOS) to counteract both oxidative damage and metabolic reprogramming in cardiovascular diseases associated with vascular remodeling. We proposed that the uncharacterized membrane-associated protein FAM177A1 drives VSMC mitochondrial oxidative impairment and metabolic reprogramming, thereby promoting VSMC phenotypic switching and vascular dysfunction. We modeled vascular remodeling using global We identify FAM177A1 as a key mitochondrial regulator that drives VSMC switching through SIRT3-SOD2 axis disruption. Targeting FAM177A1 restores redox-metabolic homeostasis through scavenging ROS and improving OXPHOS, establishing it as a novel therapeutic target against vascular remodeling. Show less
📄 PDF DOI: 10.7150/ijbs.128409
APOE
Dennis R Tabuena, Sung-Soo Jang, Brian Grone +17 more · 2026 · Nature aging · Nature · added 2026-04-24
The full impact of APOE4 (apolipoprotein E4), the strongest genetic risk factor for Alzheimer's disease (AD), on neuronal and network function remains unclear, particularly during early preclinical st Show more
The full impact of APOE4 (apolipoprotein E4), the strongest genetic risk factor for Alzheimer's disease (AD), on neuronal and network function remains unclear, particularly during early preclinical stages of disease. Here we show that young APOE4 knockin (E4-KI) mice exhibit hippocampal region-specific network hyperexcitability that predicts later cognitive deficits. This early phenotype arises from cell-type-specific subpopulations of smaller, hyperexcitable neurons and is eliminated by selective removal of neuronal APOE4. With aging, E4-KI mice develop granule cell hyperexcitability, progressive inhibitory dysfunction and excitation-inhibition imbalance in the dentate gyrus. Single-nucleus RNA sequencing with multilevel gene filtering reveals age-dependent and cell-type-specific transcriptional changes and identifies candidate mediators of early neuronal hyperexcitability, including Nell2. Targeted CRISPR interference knockdown of Nell2 rescues abnormal excitability, implicating Nell2 as a contributor to APOE4-driven dysfunction. Together, these findings define molecular and circuit mechanisms linking neuronal APOE4-induced early network impairment to AD pathogenesis with aging. Show less
📄 PDF DOI: 10.1038/s43587-026-01096-0
APOE
Guoan Zhang, Baoguo Song, Xiaoyan Huang +1 more · 2026 · Inflammation research : official journal of the European Histamine Research Society ... [et al.] · Springer · added 2026-04-24
In our previous study, we identified Niemann-Pick C1 like intracellular cholesterol transporter 1 (NPC1L1) as a key contributor in lipid oxidative stress during atherosclerosis (AS) progression. Howev Show more
In our previous study, we identified Niemann-Pick C1 like intracellular cholesterol transporter 1 (NPC1L1) as a key contributor in lipid oxidative stress during atherosclerosis (AS) progression. However, the regulation mode of its expression and the specific approaches by which it functions in lipid oxidative stress are still unclear. HUVECs and macrophages were treated with oxidized low-density lipoprotein (ox-LDL) to induce endothelial cell injury. First, the effects of the RNA binding proteins IGF2BP1 and poly (A) binding protein cytoplasmic 1 (PABPC1) on the stability of NPC1L1 mRNA was evaluated. The interaction between NPC1L1 and cytochrome P450 family 11 subfamily A member 1 (CYP11A1) was analyzed using Co-IP, and the co-localization of the two was detected using immunofluorescence. Combined with qPCR, Western blotting, CCK8, ferroptosis-related index and mitophagy-related index determination were performed to evaluate the expression of CYP11A1 in ox-LDL-treated HUVECs and its role of ferroptosis and mitophagy. Subsequently, pcDNA-NPC1L1 or CYP11A1 siRNA were individually or altogether transfected into ox-LDL-treated HUVECs to verify the involvement of CYP11A1 in NPC1L1-mediated ferroptosis and mitochondrial oxidative stress. Finally, ApoE-/- mice were fed with high-fat diet to establish an AS model in vivo and sh-NPC1L1 and/or Ad-CYP11A1 were injected via tail vein to verify the therapeutic effect of NPC1L1 knockdown on AS and reversal effect of CYP11A1. Either knockdown of IGF2BP1 or PABPC1 reduced NPC1L1 mRNA stability. Mechanistically, NPC1L1 interacted with CYP11A1 and promoted CYP11A1 protein expression. CYP11A1 was upregulated in ox-LDL-treated HUVECs and overexpression of CYP11A1 induced ferroptosis by activating excessive mitophagy, and knockdown of CYP11A1 reversed the promotion of NPC1L1 on mitophagy and ferroptosis in ox-LDL treated HUVECs. In vivo, injection of the sh-NPC1L1 lentiviral vector inhibited AS progression, while injection of the LV-CYP11A1 lentiviral vector attenuated the protective effect of sh-NPC1L1 on AS. PABPC1 and IGF2BP1 synergistically stabilized NPC1L1 mRNA, and NPC1L1 interacted with CYP11A1 to induce endothelial mitophagy and ferroptosis during AS. Show less
📄 PDF DOI: 10.1007/s00011-026-02229-2
APOE
Li Fang, Zhijie Shen, Dan Huang +4 more · 2026 · Atherosclerosis · Elsevier · added 2026-04-24
Increasing evidence indicates that modulating pyroptosis in endothelial cells (ECs) can alleviate atherosclerosis (AS) progression; however, despite reports that nucleolin (NCL) regulates vascular smo Show more
Increasing evidence indicates that modulating pyroptosis in endothelial cells (ECs) can alleviate atherosclerosis (AS) progression; however, despite reports that nucleolin (NCL) regulates vascular smooth muscle cell proliferation in AS, the potential mechanism by which cell surface NCL mediates pyroptosis in ECs during AS remains poorly understood. AS was induced in ApoE AS model mice developed severe aortic lesions accompanied by pronounced EC pyroptosis and inflammation, together with elevated NCL expression in ECs of the aortic root. Both inhibition of NLRP3 and NCL knockdown alleviated atherosclerotic lesion severity in ApoE This study demonstrates that, in AS, NCL exacerbates EC pyroptosis and promotes disease progression by facilitating nuclear transport of RASSF2. This study defines the mechanistic roles of NCL in AS, thereby identifying a new molecular pathway and suggesting potential therapeutic targets. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2026.120715
APOE
Yuanyuan Zhang, Yu Huang, Junyu Xue +8 more · 2026 · General psychiatry · Wiley · added 2026-04-24
Individuals with prediabetes or diabetes face elevated dementia risk, yet robust prediction tools and mechanistic insights remain limited. This study aimed to develop and validate a protein-based risk Show more
Individuals with prediabetes or diabetes face elevated dementia risk, yet robust prediction tools and mechanistic insights remain limited. This study aimed to develop and validate a protein-based risk score for dementia prediction in this high-risk population while elucidating underlying biological pathways and therapeutic targets. Utilising data from 10 433 UK Biobank participants with prediabetes or diabetes and proteomic profiling (2911 plasma proteins measured), we developed a dementia protein risk score in a training set ( In the training set, 23 out of 2911 proteins were selected. In the testing set, compared with the basic model (age and sex, C-index: 0.78; 95% confidence interval [CI] 0.74-0.82), the dementia protein risk score (C-index: 0.84; 95% CI 0.81-0.88) significantly improved the performance in predicting incident dementia (C-index increase: 0.06; 95% CI 0.02-0.12), while cardiovascular risk factors, ageing and dementia incidence risk factors (C-index: 0.80; 95% CI 0.76-0.83) and apolipoprotein E (APOE; age and sex included, C-index: 0.81; 95% CI 0.77-0.85) had no significant improvement. Six key proteins (glial fibrillary acidic protein [GFAP], neurofilament light polypeptide [NEFL], Brevican core protein [BCAN], protein MENT [MENT], APOE and growth/differentiation factor 15 [GDF15]) captured the most predictive power. Pathway analyses implicated extracellular matrix remodelling and cholesterol metabolism, whereas Mendelian randomisation identified causal roles for APOE, haematopoietic prostaglandin D synthase (HPGDS), BAG family molecular chaperone regulator 3 (BAG3) and GDF15. Nine proteins were prioritised as druggable targets, including HPGDS, with existing Food and Drug Administration-approved drugs. This study establishes a highly accurate protein-based risk score for dementia prediction (including 6-23 proteins) in individuals with prediabetes or diabetes, uncovering actionable biological pathways and therapeutic targets. The findings enable precision risk stratification and accelerate translational opportunities for dementia prevention in this population. Show less
📄 PDF DOI: 10.1002/gps3.70010
APOE
Xian Su, Bincheng Zhou, Yanqi Xu +14 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Atherosclerosis is a common vascular disease that poses a serious threat to global health. However, the mechanism underlying the pathogenesis and progression of atherosclerosis remains elusive. We ana Show more
Atherosclerosis is a common vascular disease that poses a serious threat to global health. However, the mechanism underlying the pathogenesis and progression of atherosclerosis remains elusive. We analysed the expression of deubiquitinating enzymes in human atherosclerotic lesions and found that USP25 was significantly downregulated. The role of USP25 in atherosclerosis was validated in mouse models with an ApoE USP25 was predominantly expressed in macrophages in atherosclerotic lesions, and ablation of macrophagic USP25 significantly exacerbated atherosclerosis in ApoE This study elucidated the function and molecular mechanism of USP25 in atherosclerosis, identifying USP25 as a beneficial regulator for this disease. This work was supported by the Natural Science Foundation of Zhejiang Province (LZ24H090003 to X.W. and LTGY23H090001 to W.W.), the National Natural Science Foundation of China (82150710557 and 82293642 to W.S.; 81971143 to X.W., and 82271347 to G.W.), and Wenzhou Municipal Science and Technology Bureau (Y2021094 to J.H.). Show less
📄 PDF DOI: 10.1016/j.ebiom.2026.106213
APOE
Weiji Deng, Xinyu Li, Min HU +2 more · 2026 · Nutrients · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/nu18050746
APOE

Human FGF1

Yingjian Li, Xiaodan Hui, Chunjie Gu +11 more · 2026 · Cells · MDPI · added 2026-04-24
The prevalence of metabolic dysfunction-associated steatohepatitis (MASH) is rising worldwide. hFGF1
📄 PDF DOI: 10.3390/cells15050387
APOE
Wang Liao, Qun Yu, Bin Chen +33 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Show more
Lecanemab, an anti-amyloid beta (Aβ) protofibril antibody, was introduced in China in 2024, but its real-world performance remains unknown. In this prospective, multicenter study across 21 sites, 261 Alzheimer's disease patients (mild cognitive impairment to moderate dementia) received biweekly lecanemab (10 mg/kg). A matched Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort served as comparator. Cognitive tests, plasma biomarkers, and optional amyloid/tau positron emission tomography (PET) were assessed over 6 months. Lecanemab significantly attenuated cognitive decline versus ADNI. Plasma Aβ42, Aβ40, phosphorylated tau 217 (p‑tau217), glial fibrillary acidic protein (GFAP), and ratios showed robust changes; a p‑tau217 reduction correlated with amyloid PET clearance (mean -22.1 Centiloid; 29.2% turned amyloid-negative). Apolipoprotein E (APOE) ε4 non-carriers showed greater improvements. Infusion reactions occurred in 11.1% and amyloid-related imaging abnormalities in 9.2% (1.6% symptomatic), with no stage-related safety differences. Lecanemab was effective and well tolerated in real-world Chinese patients. Plasma p‑tau217 may serve as a sensitive, minimally invasive treatment-response biomarker. Show less
📄 PDF DOI: 10.1002/alz.71231
APOE
Yanhong Liu, Yirong Ma, Zhijian Song +5 more · 2026 · Frontiers in molecular biosciences · Frontiers · added 2026-04-24
Atherosclerosis (AS) is a chronic inflammatory disease driven significantly by metabolic reprogramming (MR). However, the core MR-related genes and their specific functions in AS remain incompletely u Show more
Atherosclerosis (AS) is a chronic inflammatory disease driven significantly by metabolic reprogramming (MR). However, the core MR-related genes and their specific functions in AS remain incompletely understood, thus creating an urgent need for reliable diagnostic and therapeutic biomarkers. Two AS-related microarray datasets (GSE100927 and GSE28829) were integrated and normalized. Differential expression analysis identified differentially expressed genes (DEGs), which were intersected with an MR-related gene set to obtain MR-related DEGs (MRDEGs). Functional enrichment analyses-including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses-were conducted. Subsequently, weighted gene co-expression network analysis (WGCNA) was combined with multiple machine learning algorithms to screen for hub genes. These candidate genes were further validated using an external dataset (GSE43292) and evaluated via receiver operating characteristic (ROC) curve analysis. Additionally, a multi-gene diagnostic model was constructed and assessed using both nomogram and SHAP analysis. Single-gene Gene Set Enrichment Analysis (GSEA) elucidated the biological functions of core genes. Immune infiltration and single-cell analyses investigated microenvironment remodeling. Moreover, transcription factor (TF) prediction via hTFtarget, integrated with transcriptome sequencing of human umbilical vein endothelial cells (HUVECs), identify upstream regulators. Finally, Experimental validation was performed in ApoE We identified 57 MRDEGs and selected four core genes-LYN, FABP5, MMP9, and ANPEP-which demonstrated high diagnostic value. The multi-gene model showed strong clinical predictive performance. GSEA further revealed significant involvement of these genes in immune-inflammatory pathways. Immune infiltration and single-cell analyses confirmed substantial immune microenvironment remodeling and altered cell-cell communication. EGR1 was identified as a key upstream transcription factor. Ultimately, Experimental validation in ApoE This study identifies LYN, FABP5, MMP9, and ANPEP as core MR-related genes in AS, clarifies their roles in immune microenvironment regulation, and confirms their value as diagnostic biomarkers, thereby providing new insights for precise diagnosis and targeted therapy of AS. Show less
📄 PDF DOI: 10.3389/fmolb.2026.1756851
APOE
Dehao Yang, Ruting Wei, Jinrong Zhu +10 more · 2026 · Molecular neurobiology · Springer · added 2026-04-24
Antihypertensive medications (AHMs) may modulate Alzheimer's disease (AD) pathogenesis via cerebrovascular or neuroinflammatory pathways, yet evidence remains conflicting. This study investigated caus Show more
Antihypertensive medications (AHMs) may modulate Alzheimer's disease (AD) pathogenesis via cerebrovascular or neuroinflammatory pathways, yet evidence remains conflicting. This study investigated causal associations between AHM use and AD risk, focusing on drug classes, blood pressure status, and apolipoprotein E epsilon 4 (APOE ε4) effects. We integrated genetic causal inference with longitudinal survival analyses in a dual-evidence framework. Mendelian randomization (MR) was used to estimate class-specific causal effects at the population level. To examine effect modification by genetic and clinical factors, we analyzed 532 cognitively normal or mildly impaired older adults in ADNI with baseline assessments, with time-to-AD conversion modeled using Cox regression stratified by hypertension history and APOE ε4 status. Overall antihypertensive use showed no significant association with AD risk in hypertensive individuals (HR = 0.71) or APOE ε4 carriers (HR = 0.72). However, ARBs demonstrated protective associations in APOE ε4 carriers (HR = 0.32, 95% CI: 0.12-0.86). MR analysis supported causal protective effects for angiotensin II receptor blockers (ARBs, OR = 0.94, 95% CI: 0.89-0.98), calcium channel blockers (CCBs, OR = 0.93, 95% CI: 0.90-0.97), and beta-blockers (BBs, OR = 0.92, 95% CI: 0.86-0.98), whereas ACEIs lacked MR support and thiazide diuretics showed no benefit. Our findings reveal class-specific antihypertensive effects on AD risk. ARBs demonstrated the strongest protection, particularly in APOE ε4 carriers, while BBs and CCBs showed neuroprotective benefits. Results suggest AD prevention involves mechanisms beyond blood pressure reduction alone, supporting precision medicine with genotype-guided antihypertensive selection for genetically vulnerable individuals. Show less
📄 PDF DOI: 10.1007/s12035-026-05784-1
APOE
Zihui Yuan, Haitao Li, Bing Xing Ruan +3 more · 2026 · Clinical and translational medicine · Wiley · added 2026-04-24
Pyroptosis, apoptosis and necroptosis (PANoptosis) simultaneously occur and are extensively cross-linked in infectious and inflammatory diseases. However, the co-existence and regulation of macrophage Show more
Pyroptosis, apoptosis and necroptosis (PANoptosis) simultaneously occur and are extensively cross-linked in infectious and inflammatory diseases. However, the co-existence and regulation of macrophage pyroptosis, apoptosis and necroptosis in atherosclerosis have not yet been investigated. Atherosclerotic specimens from human lower extremity amputation and carotid endarterectomy were analysed. Ox-LDL-induced macrophages and high-fat diet (HFD)-fed ApoE A substantial content of inflammatory factors, the activation of NLRP3/GSDMD/CASP3/CASP8/RIPK3/pMLKL, and the upregulation of galectin-3 were detected in advanced human and mouse atherosclerotic lesions. Galectin-3 was predominantly expressed in atherosclerotic macrophages, and Galectin-3-positive macrophages were mainly distributed in the atherosclerotic core in comparison with the proximal adjacent artery. Ox-LDL induced apoptosis, pyroptosis and necroptosis in macrophages, as evidenced by the activation of NLRP3/GSDMD/CASP3/CASP8/RIPK3/pMLKL and the secretion of proinflammatory cytokines. Galectin-3 interacted with NLRP3. Genetic knockdown of galectin-3 alleviated ox-LDL-induced activation of inflammatory cell death, which was pronouncedly abrogated by NLRP3 agonist nigericin. Genetic galectin-3 deficiency attenuated, and conversely nigericin exacerbated macrophage death, vascular inflammation and atherosclerosis in HFD-fed ApoE Macrophage-derived galectin-3 contributed to pyroptosis, apoptosis and necroptosis in concert, promoted vascular inflammation and atherosclerosis through the upregulation of TLR4/MyD88/NF-κB/NLRP3 pathway. Pyroptosis, apoptosis, and necroptosis of macrophages occur concurrently in atherosclerosis. Galectin-3 and NLRP3 expression levels are elevated in both human and murine atherosclerotic lesions. Galectin-3 is predominantly expressed in macrophages within atherosclerotic plaques.Galectin-3 interacts with NLRP3, activates TLR4/MyD88/NF- Show less
📄 PDF DOI: 10.1002/ctm2.70637
APOE
Jian Huang, Huiming Yi, Yanhui Wu +2 more · 2026 · Immunology · Blackwell Publishing · added 2026-04-24
Atherosclerosis serves as the fundamental pathological process underlying numerous cardiovascular disorders, and the change of macrophage polarisation is the key to regulate the inflammatory response Show more
Atherosclerosis serves as the fundamental pathological process underlying numerous cardiovascular disorders, and the change of macrophage polarisation is the key to regulate the inflammatory response of AS. SIRT6 plays a protective effect in AS, but whether it regulates macrophage polarisation in AS remains uncertain. We aimed to characterise the mechanistic role of SIRT6 in atherosclerosis development mediated by macrophage polarisation. ApoE Show less
no PDF DOI: 10.1111/imm.70129
APOE
Ronghua Huang, Bing-Biao Lin, Zhijie Lu +6 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
The identification of plasma biomarkers for the diagnosis of Alzheimer's disease (AD) has been a longstanding research priority; however, few plasma biomarkers have yet been implemented in routine cli Show more
The identification of plasma biomarkers for the diagnosis of Alzheimer's disease (AD) has been a longstanding research priority; however, few plasma biomarkers have yet been implemented in routine clinical practice. This study enrolled 141 participants, including 71 patients with AD, 44 individuals with mild cognitive impairment, and 28 cognitively healthy controls (HC). A total of 16 plasma inflammatory proteins were quantified using multiplex liquid-chip assays, and APOE genotyping was performed. The diagnostic utility of plasma proteins was assessed using the least absolute shrinkage and selection operator (LASSO) with nested cross-validation. Patients with AD exhibited marked alterations in plasma inflammatory profiles, with elevated levels of IFN-γ, IL-33, and IL-18, and reduced levels of IL-7 and CCL11. Integrating inflammatory markers with clinical variables and APOE genotype substantially improved discrimination between AD and HC, increasing the area under the ROC curve from 0.863 to 0.953. Among all biomarkers, IFN-γ emerged as the most informative predictor and was significantly elevated in AD patients carrying the APOE ϵ4 allele. Analyses of single-nucleus RNA sequencing data further revealed pronounced enrichment of IFN-γ signaling in APOE4/4 AD-associated lipid droplet-accumulating microglia (LDAM), defined by high ACSL1 expression. Notably, IFN-γ stimulation enhanced ACSL1 expression in ApoE4-overexpressing HMC3 microglial cells. These findings provide a new perspective on the involvement of plasma inflammatory markers for AD diagnosis, and suggest a novel link between IFN-γ and APOE ϵ4-associated AD risk through modulating the ACSL1-driven pathogenic LDAM phenotype. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1770509
APOE
Zhongshan He, Yaoyao Luo, Shuping Yang +13 more · 2026 · ACS nano · ACS Publications · added 2026-04-24
Atherosclerotic macrophages predominantly exhibit a pro-inflammatory phenotype, driving chronic inflammatory and accelerating atherosclerotic progression. Interferon regulatory factor 5 (IRF5) is high Show more
Atherosclerotic macrophages predominantly exhibit a pro-inflammatory phenotype, driving chronic inflammatory and accelerating atherosclerotic progression. Interferon regulatory factor 5 (IRF5) is highly expressed in lesional macrophages within advanced atherosclerotic plaques, where it promotes the secretion of pro-inflammatory cytokines. However, current approaches lack an effective therapeutic strategy to specifically silence this gene in lesional macrophages for atherosclerosis treatment. This study aims to develop and evaluate a dual-targeted, siRNA-based nanotherapeutic platform that selectively acts on atherosclerosis-promoting genes in plaque macrophages, offering a potential strategy for treating atherosclerosis by reprogramming lesional macrophages. Here we designed and developed dual-targeted liposome-based nano-immunotherapeutics encapsulating small interfering RNA (siRNA) against IRF5 (siIRF5) to reprogram macrophage phenotypes within advanced plaques. In high-fat diet-fed Show less
📄 PDF DOI: 10.1021/acsnano.5c18044
APOE
Feng Yang, Wenqiong Huang, Zongzhen Meng +4 more · 2026 · Redox biology · Elsevier · added 2026-04-24
Accumulating evidence suggested that bile acids play a significant role in modulating metabolic and inflammatory diseases. In this study, we investigated the roles of the farnesoid X receptor (FXR) an Show more
Accumulating evidence suggested that bile acids play a significant role in modulating metabolic and inflammatory diseases. In this study, we investigated the roles of the farnesoid X receptor (FXR) and its endogenous antagonist hyodeoxycholic acid (HDCA) in the development of atherosclerosis (AS). We found that serum HDCA was significantly reduced in patients with AS, and systemic HDCA therapy attenuated plaque burden in vivo. Adoptive transfer of HDCA-treated Foxp3+ Tregs into ApoE-deficient recipients reduced lesion growth, whereas FXR-deficient Tregs failed to confer benefit. HDCA enhanced Treg migration and accumulation within plaques and reprogrammed Treg metabolism by antagonizing FXR and modulating PD-1/mTORC1 signaling. This shift relieved CPT1a-driven fatty acid oxidation bias, increased glycolysis and ATP production, and improved migratory capacity and effector function. We further identify ZNF671 as a transcriptional inhibitor of Treg migration that is mitigated by HDCA-dependent metabolic switching. Collectively, HDCA reduced FXR-mediated metabolic constraints while activating glycolytic and migratory programs in Tregs, thereby improving lipid handling and immune regulation within the plaque microenvironment. These findings position the HDCA-FXR-PD-1/mTORC1 axis as a novel immunometabolic target for AS. Show less
📄 PDF DOI: 10.1016/j.redox.2026.104096
APOE