👤 Mingxia Zhu

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1043
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741
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Also published as: Afang Zhu, Aijun Zhu, Aiqing Zhu, Allen Zhu, An Zhu, An-Qi Zhu, Anding Zhu, Bao-Sheng Zhu, Baoli Zhu, Biao Zhu, Bin Zhu, Bing Zhu, Bingzi Zhu, Binna Zhu, Biying Zhu, Bo Zhu, Bochen Zhu, Boheng Zhu, Bokai Zhu, C-H Zhu, Caifeng Zhu, Can Zhu, Cansheng Zhu, Chan-Yan Zhu, Chang Qing Zhu, Changhong Zhu, Changsheng Zhu, Changyan Zhu, Changyou Zhu, Chao Zhu, Chaofeng Zhu, Chaojun Zhu, Chaonan Zhu, Chaowang Zhu, Chaoyu Zhu, Chen Zhu, Chen-Tseh Zhu, Chen-Xi Zhu, Chenchen Zhu, Cheng Zhu, Cheng-Gang Zhu, Chenghao Zhu, Chengliang Zhu, Chenglou Zhu, Chenxi Zhu, Chongtao Zhu, Chunhong Zhu, Chunhua Zhu, Chunni Zhu, Chunyan Zhu, Chunyue Zhu, Cong Zhu, Congcong Zhu, Conghua Zhu, Cunle Zhu, D Y Zhu, Da Zhu, Dakai Zhu, Dalong Zhu, Dan Zhu, Dandan Zhu, Danyan Zhu, Danyang Zhu, David C Zhu, Denghui Zhu, Desheng Zhu, Di Zhu, Dingliang Zhu, Dong-Ya Zhu, Dongbing Zhu, Dongdong Zhu, Donghui Zhu, Dongli Zhu, Dongmei Zhu, Dongxu Zhu, Du Zhu, Ethan Y S Zhu, F Y Zhu, Fangcheng Zhu, Fangjie Zhu, Fangmei Zhu, Fangyi Zhu, Fei Zhu, Fei-Feng Zhu, Feiqi Zhu, Feiyan Zhu, Feng Zhu, Fengcai Zhu, Fenglan Zhu, Fenxia Zhu, Fu Zhu, Fuquan Zhu, Gaizhi Zhu, Gaohong Zhu, Gaohui Zhu, Genying Zhu, Gord Guo Zhu, Guangheng Zhu, Guanglin Zhu, Guangshuo Zhu, Guangyu Zhu, Guangzhi Zhu, Guijie Zhu, Guirong Zhu, Guixin Zhu, Guo-Ping Zhu, Guofu Zhu, Guohui Zhu, Guoming Zhu, Guoqiang Zhu, Guoqing Zhu, H P Zhu, H S Zhu, H Zhu, Hai-Bo Zhu, Hai-Chuan Zhu, Hai-Yan Zhu, Haichao Zhu, Haichuan Zhu, Haifeng Zhu, Haihong Zhu, Haijun Zhu, Hailin Zhu, Haiming Zhu, Haitao Zhu, Haixia Zhu, Haiying Zhu, Haizhen Zhu, Han Zhu, Han-Ying Zhu, Han-Yu Zhu, HanYu Zhu, Hang Zhu, Hangbo Zhu, Hanxu Zhu, Hanyong Zhu, Hanzhao Zhu, Hao Zhu, Hao-Jie Zhu, Haohua Zhu, Haojie Zhu, Haojun Zhu, Haoxue Zhu, He Zhu, Heng Zhu, Hengcheng Zhu, Hengshan Zhu, Hong Zhu, Hong-Hu Zhu, Hong-Zhe Zhu, Hongbin Zhu, Hongbo Zhu, Honghong Zhu, Hongmei Zhu, Hongming Zhu, Hongqing Zhu, Hongwen Zhu, Hongyan Zhu, Hongyi Zhu, Houwei Zhu, Hua Zhu, Hua-Long Zhu, Huaiyi Zhu, Hualong Zhu, Huamin Zhu, Huaming Zhu, Huanfeng Zhu, Huang Zhu, Huanxi Zhu, Huapei Zhu, Hui Zhu, Hui-Ling Zhu, Hui-Ting Zhu, Huijuan Zhu, Huilian Zhu, Huiling Zhu, Huimin Zhu, Huiqing Zhu, Huixia Zhu, Huolan Zhu, J W Zhu, J Zhu, J-K Zhu, Jia Zhu, Jia-Hao Zhu, Jia-Hui Zhu, Jia-Yu Zhu, Jiabei Zhu, Jiajie Zhu, Jiajun Zhu, Jiali Zhu, Jialin Zhu, Jiamin Zhu, Jian Zhu, Jian-Fu Zhu, Jian-Hong Zhu, Jian-Kang Zhu, Jian-Min Zhu, Jiang Zhu, Jiang-Jiang Zhu, JiangJiang Zhu, Jianguo Zhu, Jianhong Zhu, Jianhua Zhu, Jianhui Zhu, Jianjun Zhu, Jianli Zhu, Jianlin Zhu, Jianmin Zhu, Jianwei Zhu, Jianyong Zhu, Jiaojiao Zhu, Jiaping Zhu, Jiaqi Zhu, Jiaqiang Zhu, Jiaqing Zhu, Jiayao Zhu, Jiayi Zhu, Jiaying Zhu, Jiayu Zhu, Jie Zhu, Jiejie Zhu, Jifeng Zhu, Jimiao Zhu, Jin Zhu, Jinfeng Zhu, Jing Zhu, Jing-Zhong Zhu, Jingjie Zhu, Jingjing Zhu, Jingwen Zhu, Jingze Zhu, Jinhong Zhu, Jinjin Zhu, Jinpeng Zhu, Jinrong Zhu, Jinwei Zhu, Jinyi Zhu, Jinyun Zhu, Jiyuan Zhu, Ju Zhu, Ju-Fen Zhu, Juanhua Zhu, Juming Zhu, Jun Zhu, Jun-Jie Zhu, Jun-Ming Zhu, Jun-Rong Zhu, Jun-Yi Zhu, Junfeng Zhu, Junji Zhu, Junjia Zhu, Junjie Zhu, Junlong Zhu, Junwei Zhu, Junxian Zhu, Kai Zhu, Kaibin Zhu, Kaicheng Zhu, Kaihua Zhu, Kaina Zhu, Kanglin Zhu, Ke Zhu, Kexuan Zhu, Keyu Zhu, Kezhou Zhu, Kongjun Zhu, Kun Zhu, Kunfeng Zhu, L Y Zhu, Lei Zhu, Leqing Zhu, Li Zhu, Li-Fang Zhu, Li-Zeng Zhu, LiFang Zhu, Liang Zhu, Lianghao Zhu, Liangxi Zhu, Lifeng Zhu, Lihua Julie Zhu, Lijuan Zhu, Lijun Zhu, Limei Zhu, Lin Zhu, Lina Zhu, Linfeng Zhu, Ling Zhu, Lingjun Zhu, Lingpeng Zhu, Lingxiao Zhu, Lingyi Zhu, Lingyun Zhu, Linlin Zhu, Linxin Zhu, Liping Zhu, Liqin Zhu, Liren Zhu, Lixia Zhu, Lixin Zhu, Liyong Zhu, Liyun Zhu, Lizhen Zhu, LongXun Zhu, Lu Zhu, Luoning Zhu, M Zhu, Man Zhu, Maoling Zhu, Mei Zhu, Mei-Dong Zhu, Meili Zhu, Meiqi Zhu, Meizi Zhu, Meng Zhu, Meng-Die Zhu, Mengbo Zhu, Menglin Zhu, Mengmeng Zhu, Mengpei Zhu, Mengyan Zhu, Mengyao Zhu, Mengyi Zhu, Mengyu Zhu, Miaojuan Zhu, Michael X Zhu, Min Zhu, Min-Ling Zhu, Ming An Zhu, Ming Zhu, Ming-An Zhu, Ming-Qiang Zhu, Mingwei Zhu, Mingyan Zhu, Mingyu Zhu, Mingyue Zhu, Minjia Zhu, Muyuan Zhu, Nan Zhu, Nannan Zhu, Ni Zhu, Ning Zhu, Ningyu Zhu, P Zhu, Paula K Zhu, Pei-Lin Zhu, Peiyu Zhu, Peng Zhu, Peng-Cheng Zhu, Pengcheng Zhu, Pengfei Zhu, Pengju Zhu, Ping Zhu, Pingping Zhu, Qi Zhu, Qian Zhu, Qiancheng Zhu, Qiang Zhu, Qihang Zhu, Qilu Zhu, Qin-Feng Zhu, Qing Zhu, Qing-Ling Zhu, Qing-Ru Zhu, QingTang Zhu, Qingfeng C Zhu, Qinghong Zhu, Qinglan Zhu, Qingru Zhu, Qingxiu Zhu, Qingyun Zhu, Qinxin Zhu, Qinyuan Zhu, Qiongjun Zhu, Qiqi Zhu, Quangang Zhu, Qubo Zhu, Ran Zhu, Rang-Teng Zhu, Ren-Min Zhu, Ronghui Zhu, Rui Zhu, Rui-Fang Zhu, Ruichi Zhu, Ruijie Zhu, Ruijue Zhu, Ruiqi Zhu, Ruiqing Zhu, Ruirui Zhu, Ruixia Zhu, Ruiyang Zhu, Ruiyi Zhu, Runkang Zhu, Runze Zhu, Shaihong Zhu, Shanfeng Zhu, Shankuan Zhu, Shaojin Zhu, Shaoliang Zhu, Shaomin Zhu, Shaoyuan Zhu, Shaoyue Zhu, Shasha Zhu, Shenghua Zhu, Shengmei Zhu, Shengwei Zhu, Shenshen Zhu, Shibai Zhu, Shihui Zhu, Shiqi Zhu, Shirley X Zhu, Shiyu Zhu, Shou-Jun Zhu, Shouan Zhu, Shoujia Zhu, Shuai Zhu, Shuaishuai Zhu, Shuang Zhu, Shujuan Zhu, Si-Tong Zhu, Si-Xian Zhu, Sibo Zhu, Sijia Zhu, Sipin Zhu, Siqi Zhu, Siran Zhu, Siwei Zhu, Song Zhu, Songcheng Zhu, Suhui Zhu, Suiqiang Zhu, Sunting Zhu, Tao Zhu, Teng-Teng Zhu, Tengfei Zhu, Tengteng Zhu, Tian Zhu, Tian-gang Zhu, Tiangang Zhu, Tianhang Zhu, Tianqing Zhu, Tianwen Zhu, Tianyi Zhu, Tianyue Zhu, Tiebing Zhu, Tingting Zhu, Tong Zhu, Tongyu Zhu, Wan Zhu, Wanglong Zhu, Wanlin Zhu, Wei Zhu, Wei-Fen Zhu, Wei-Guo Zhu, Wei-Rong Zhu, Wei-Zhong Zhu, Weiguo Zhu, Weihao Zhu, Weiliang Zhu, Weimin Zhu, Weiming Zhu, Weiwei Zhu, Weiyao Zhu, Weiyou Zhu, Weiyu Zhu, Wen Zhu, Wen-Hua Zhu, Wen-Qiang Zhu, Wen-Qing Zhu, Wenbin Zhu, Wencheng Zhu, Wenge Zhu, Wengen Zhu, Wenhao Zhu, Wenjian Zhu, Wenjiao Zhu, Wenjie Zhu, Wenjuan Zhu, Wenjun Zhu, Wenping Zhu, Wenqiang Zhu, Wentao Zhu, Wenye Zhu, Wenyuan Zhu, Wenzhen Zhu, X L Zhu, X Zhu, Xi Zhu, Xi-Hai Zhu, Xi-Wen Zhu, Xialin Zhu, XianJie Zhu, Xiang-Yang Zhu, Xiang-Yu Zhu, Xiangjie Zhu, Xianqiong Zhu, Xiao Zhu, Xiao-Chen Zhu, Xiao-Cong Zhu, Xiao-Dong Zhu, Xiao-Feng Zhu, Xiao-Li Zhu, Xiao-Rong Zhu, Xiao-Shan Zhu, Xiao-Ting Zhu, Xiao-Xia Zhu, Xiao-yan Zhu, Xiaodan Zhu, Xiaodong Zhu, Xiaofan Zhu, Xiaofeng Zhu, Xiaohui Zhu, Xiaojian Zhu, Xiaojie Zhu, Xiaojing Zhu, Xiaojuan Zhu, Xiaojun Zhu, Xiaolei Zhu, Xiaoli Zhu, Xiaoming Zhu, Xiaoqi Zhu, Xiaoqun Zhu, Xiaoting Zhu, Xiaowei Zhu, Xiaowen Zhu, Xiaoxi Zhu, Xiaoyan Zhu, Xiaoyang Zhu, Xiaoyi Zhu, Xiaoyu Zhu, Ximing Zhu, Xin Zhu, Xin-Hua Zhu, Xin-Yi Zhu, Xin-Yu Zhu, Xing-Long Zhu, Xingcheng Zhu, Xinghai Zhu, Xinguo Zhu, Xingyu Zhu, Xingyun Zhu, Xinhua Zhu, Xinping Zhu, Xinrui Zhu, Xinting Zhu, Xinwu Zhu, Xinxia Zhu, Xinxing Zhu, Xinyao Zhu, Xinyue Zhu, Xiong-Bai Zhu, Xiongjie Zhu, Xirui Zhu, Xu Zhu, Xu-Guang Zhu, Xuanchi Zhu, Xuanyu Zhu, Xudong Zhu, Xue Zhu, Xue-Yan Zhu, Xuechen Zhu, Xuejiao Zhu, Xuejie Zhu, Xueliang Zhu, Xueqiong Zhu, Xueting Zhu, Xuewei Zhu, Xuezhen Zhu, Xuming Zhu, Xuping Zhu, Y X Zhu, Y Zhu, Yalin Zhu, Yaling Zhu, Yalong Zhu, Yan Zhu, Yan-Bin Zhu, Yan-Ling Zhu, Yan-Ting Zhu, Yanan Zhu, Yanchen Zhu, Yanfang P Zhu, Yanfang Peipei Zhu, Yanfei Zhu, Yang Zhu, Yanglin Zhu, Yanhong Zhu, Yaning Zhu, Yanjie Zhu, Yanjing Zhu, Yanjuan Zhu, Yanli Zhu, Yanping Zhu, Yanqi Zhu, Yanrong Zhu, Yanxia Zhu, Yanzhe Zhu, Yao Zhu, Yaojin Zhu, Yaping Zhu, Yaqun Zhu, Yawen Zhu, Yefei Zhu, Yeke Zhu, Yemin Zhu, Yi Zhu, Yi Zhun Zhu, Yi-Chun Zhu, Yi-Fan Zhu, Yi-Min Zhu, Yi-Yi Zhu, Yifan Zhu, Yihao Zhu, Yijian Zhu, Yijun Zhu, Yilei Zhu, Yimin Zhu, Yin Zhu, Yinchao Zhu, Yineng Zhu, Ying Zhu, Ying-Ying Zhu, Yingdong Zhu, Yingfang Zhu, Yinghong Zhu, Yingjie Zhu, Yingli Zhu, Yingnan Zhu, Yingying Zhu, Yining Zhu, Yinnan Zhu, Yinsheng Zhu, Yiping Zhu, Yiqi Zhu, Yiwei Zhu, Yixing Zhu, Yiyan Zhu, Yong Zhu, Yong-Bing Zhu, Yongfei Zhu, Yongheng Zhu, Yonghong Zhu, Yongjun Zhu, Yongkang Zhu, Yongkun Zhu, Yongmei Zhu, Yongming Zhu, Yongping Zhu, Yongqun Zhu, Yongtong Zhu, Yongwei Zhu, Yongwen Zhu, Yongzhao Zhu, Youcai Zhu, Yu Zhu, Yu-Nan Zhu, Yu-Yuan Zhu, Yuan Zhu, Yuan-Zheng Zhu, Yuan-fang Zhu, Yuan-gui Zhu, Yuangang Zhu, Yuanhui Zhu, Yuankui Zhu, Yuanpeng Zhu, Yuanqiang Zhu, Yuantee Zhu, Yuanting Zhu, Yuanxin Zhu, Yuanyuan Zhu, Yuchen Zhu, Yuchi Zhu, Yue Zhu, Yue-Ping Zhu, Yuefeng Zhu, Yuekun Zhu, Yueping Zhu, Yufei Zhu, Yuhan Zhu, Yuhua Zhu, Yumei Zhu, Yuming Zhu, Yun Zhu, Yunfei Zhu, Yunling Zhu, Yunqing Zhu, Yunzhen Zhu, Yuping Zhu, Yuqian Zhu, Yutian Zhu, Yuwen Zhu, Yuzhe Zhu, Yuzhu Zhu, Z F Zhu, Z-Y Zhu, Zaihan Zhu, Zeren Zhu, Zeyu Zhu, Zezhang Zhu, Zhanzhan Zhu, Zhao Zhu, Zhaohua Zhu, Zhaowei Zhu, Zhaozhong Zhu, Zhe Zhu, Zhenbang Zhu, Zheng Zhu, Zhengbao Zhu, Zhengfeng Zhu, Zhenggang Zhu, Zhenghao Zhu, Zhengming Zhu, Zhengting Zhu, Zhengyu Zhu, Zhenhu Zhu, Zhenjun Zhu, Zhenpeng Zhu, Zhenshuo Zhu, Zhenzhen Zhu, Zheying Zhu, Zhibo Zhu, Zhijie Zhu, Zhijun Zhu, Zhiming Zhu, Zhiqiang Zhu, Zhiyan Zhu, Zhiyong Zhu, Zhong-Yi Zhu, Zhonglin Zhu, Zhongwei Zhu, Zhongxian Zhu, Zhongyi Zhu, Zhou Zhu, Zhouhai Zhu, Zhu Zhu, Zhuoting Zhu, Zijian Zhu, Zijun Zhu, Ziming Zhu, Ziyang Zhu
articles
Su Gao, Shihui Zhu, Tianyi Qu +6 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-gluc Show more
This study investigated the neuroprotective effects and mechanisms of cycloastragenol (CAG) on oxidative stress and neurological function in cerebral ischemia-reperfusion injury (CIRI) and oxygen-glucose deprivation/reoxygenation (OGD/R) models. In vivo, rats were given oral CAG daily for 28 days before CIRI induction. Cerebral infarction and hippocampal injury were assessed using TTC, Nissl, and HE staining. Neurological scores, morris water maze, grip strength tests, and brain water content were used to evaluate functional outcomes. Oxidative stress was determined by biochemical assays, DHE staining, and transmission electron microscopy, while Western blotting was performed to measure neuroprotective proteins. In vitro, primary neurons were treated with CAG and subjected to OGD/R. Cell viability was tested by CCK-8 assay, apoptosis and mitochondrial membrane potential were analyzed by flow cytometry, ROS levels were quantified, and MDA, SOD, and GSH were measured biochemically. Western blot further evaluated BDNF and NeuN expression to confirm in vivo findings. In vivo, CAG reduced infarct volume and edema, improved neurological deficits, preserved the structural integrity of neurons in the hippocampal CA1 region. CAG also promoted motor function recovery, markedly reduced MDA levels, increased SOD and GSH activity, and upregulated BDNF and NeuN expression. In vitro, CAG enhanced cell viability in the OGD/R model, reduced apoptosis, restored mitochondrial membrane potential, and significantly suppressed oxidative stress induced by ischemia-reperfusion. CAG effectively alleviated injury caused by cerebral and cellular ischemia-reperfusion by maintaining redox homeostasis, inhibiting oxidative stress, and promoting the expression of neuroprotective proteins, demonstrating promising neuroprotective potential. Show less
no PDF DOI: 10.1016/j.brainresbull.2025.111689
BDNF cerebral ischemia cognitive impairment hippocampal injury neuroplasticity neuroprotection oxidative stress redox homeostasis
Ran Gao, Wenting Su, Jiahui Deng +7 more · 2026 · International journal of obesity (2005) · Nature · added 2026-04-24
The incidence of obesity has significantly increased worldwide. However, it is still unclear about the genetic susceptibility of obesity. Here we performed the largest European meta-analysis of genome Show more
The incidence of obesity has significantly increased worldwide. However, it is still unclear about the genetic susceptibility of obesity. Here we performed the largest European meta-analysis of genome-wide association study, including 98,421 obesity cases and 2,108,019 healthy controls. We identified 322 novel genome-wide significant obesity-associated loci and 23 of 32 known loci. SNP-based heritability analyses revealed that common variants explain 17.19 ± 0.59% of genetic risk for obesity, whereas MiXeR predicted an estimated 1.6 million effective sample sizes explaining 90% of obesity-associated phenotypic variance. Across 345 obesity-associated loci, 2000 likely causal genes are indicated, and 410 causal genes are prioritized. Tissue specificity enrichment analyses demonstrated that obesity-related causal genes mainly expressed in brain putamen basal ganglia, hippocampus, amygdala, substantia nigra, and caudate basal ganglia. The genetic correlation and gene-set analyses showed that apart from obesity-related diseases, some brain diseases and mood (e.g., broad depression, neuroticism, mood swings), inflammatory and allergic diseases diseases (e.g., asthma, spondyloarthritis, Hashimoto thyroiditis), cardiovascular diseases (e.g., hypertension, myocardial infarction, coronary artery disease), and lung disease (e.g., interstitial lung disease, chronic obstructive pulmonary disease, lung cancer) have the positive correlations with obesity. Gene-drug interaction analysis suggested that obesity-associated genes overlapped with targets of current medications for obesity. Finally, we used this meta-analysis to explore some potential targets (e.g., GLP1R, SIGMAR1, MC4R) and drug repurposing (e.g., iloprost, flunarizine, edrophonium chloride) for obesity. We identified 345 genome-wide significant loci, including 322 novel loci for obesity. Based on 345 loci, we provided new biological insights to the etiology of obesity. Of clinical interest, we provided some potential targets and drug repurposing for obesity. Show less
📄 PDF DOI: 10.1038/s41366-025-01979-z
MC4R
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
Fei Zhu, Xingyun Xie, Cong Wang +4 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
PIK3CA is one of the most frequently mutated genes in cervical cancer (CC). However, its clinical utility is hampered by paradoxical treatment-dependent outcomes, restricting its application in precis Show more
PIK3CA is one of the most frequently mutated genes in cervical cancer (CC). However, its clinical utility is hampered by paradoxical treatment-dependent outcomes, restricting its application in precision oncology. To address this issue, we constructed a high-resolution single-cell transcriptomic atlas of the CC tumor microenvironment. It was found that PIK3CA mutations induce a dichotomous TME, simultaneously associated with marked T-cell inflammation and resistance to adaptive immune responses. Malignant epithelial subsets induce CD8 Show less
📄 PDF DOI: 10.3389/fimmu.2026.1780752
ANGPTL4
Dayun Tao, Yurui Yuan, Haizhe Ji +5 more · 2026 · Acta diabetologica · Springer · added 2026-04-24
📄 PDF DOI: 10.1007/s00592-026-02676-7
ANGPTL4
Jin Zhang, Tian Wei, Yong-Wei Xiong +11 more · 2026 · Science advances · Science · added 2026-04-24
Recently, the perspective of paternal origin has emerged, yet its role in motor disorders remains unclear. Here, using
📄 PDF DOI: 10.1126/sciadv.aea8321
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
Jia-Qi Lin, Xia-Fei Chen, Jia-Hao Zhu +4 more · 2026 · Experimental eye research · Elsevier · added 2026-04-24
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key Show more
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key genes involved in KC development and in anoikis and endoplasmic reticulum (ER) stress. KC and control datasets from the GEO database were analyzed to identify differentially expressed genes (DEGs). These were cross-referenced with anoikis and ER stress-related genes from Genecards. Functional enrichment, immune infiltration analysis, and machine learning techniques (LASSO, Random Forest) were used to identify candidate molecular signatures, which were then validated in an animal model. We identified 46 DEGs associated with anoikis and 41 DEGs related to ER stress. Functional analysis linked them to apoptosis and IL-17 signaling. Five key molecular signatures were identified: CDKN1A, MCL1, PTGS2, PTHLH, and ANGPTL4. The expression of ANGPTL4, CDKN1A, and MCL1 was consistent in the animal model. These genes are associated with inflammatory and oxidative stress responses. Twelve potential therapeutic drugs were predicted. This study identifies five candidate molecular signatures for KC related to anoikis and ER stress, offering insights into KC pathogenesis and potential targeted therapies. Show less
no PDF DOI: 10.1016/j.exer.2026.110910
ANGPTL4
Jing Xu, Yunpeng Zhang, Suthar Teerath Kumar +8 more · 2026 · BMC genomics · BioMed Central · added 2026-04-24
The rising demand for high-quality pork among consumers has driven interest in genetic improvement strategies. Crossbreeding is well known to influence carcass performance and meat quality; however, t Show more
The rising demand for high-quality pork among consumers has driven interest in genetic improvement strategies. Crossbreeding is well known to influence carcass performance and meat quality; however, the molecular mechanisms underlying these effects are still poorly understood. In this study, the F1 generation of the Songlei Crossbred Pig (SL) was developed through crossing the Songliao Black Pig (male) (SS) and the Leixiang Pig (female) (LL). We integrated the transcriptomes and metabolomes of the longissimus dorsi (LD) muscle of SS and SL under identical conditions to identify key mechanisms regulating the quality of crossbred meat. Compared with those of SS, the slaughter weight, carcass weight, and dressing percentage of SL were significantly lower, but the backfat thickness was greater; however, meat quality traits, including intramuscular fat (IMF), colour, and pH The meat quality of SL was better than that of their male parents, but not the carcass traits were not. Additionally, several critical genes and pathways related to lipid metabolism were identified. These findings provide new insights into how meat quality can be improved by hybridization. Show less
📄 PDF DOI: 10.1186/s12864-025-12399-8
ANGPTL4
Yuewen Kuang, Mingkun Jia, Yuming Zhu +1 more · 2026 · PeerJ · added 2026-04-24
Pancreatic cancer (PC) exhibits an extremely poor prognosis due to its high heterogeneity. The senescence-associated secretory phenotype (SASP), a distinct secretory profile displayed by senescent cel Show more
Pancreatic cancer (PC) exhibits an extremely poor prognosis due to its high heterogeneity. The senescence-associated secretory phenotype (SASP), a distinct secretory profile displayed by senescent cells, has been increasingly studied. However, the role of SASP in PC prognosis and treatment remains unclear. Transcriptomic sequencing data from PC patients were analyzed using consensus clustering based on SASP genes. A prognostic signature was subsequently constructed Consensus clustering based on SASP genes identified two SASP-associated clusters (SASPclusters), with cluster B demonstrating significantly worse prognosis than cluster A. Thirty-three SASP genes showed significant associations with PC prognosis, and a 7-gene SASP-based prognostic signature was established. High-risk patients exhibited significantly higher mutation rates. Distinct immune cell infiltration patterns, immune functions, checkpoint expression levels, and chemosensitivity profiles were observed between risk groups. Besides, we found that ANGPTL4 could promote PC cell proliferation, migration, and invasion. Molecular subtyping and risk stratification based on SASP genes effectively predict PC prognosis and reveal heterogeneity in mutational burden, immune microenvironment, and therapeutic sensitivity. These computational findings deepen our understanding of potential role of SASP in PC and provide a theoretical foundation for personalized treatment strategies. Show less
📄 PDF DOI: 10.7717/peerj.20476
ANGPTL4
Fuhao Huang, Zhu Zhu, Qiqiang Xing +1 more · 2026 · Biochimie · Elsevier · added 2026-04-24
To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoietin-like protein 4 (ANGPTL4) on the adipogenic-osteo Show more
To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoietin-like protein 4 (ANGPTL4) on the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells (BMSCs), and provide new insights into the molecular mechanisms and targeted therapy of OP, single-cell and multi-omics transcriptomic datasets were integrated with lipid metabolism-related gene sets. Potential key genes were identified through AUCell scoring, enrichment analysis, and machine learning algorithms validated by 5-fold cross-validation. CellChat was applied to analyze intercellular communication, while GSVA revealed associated signaling pathways. Furthermore, functional validation was performed by knocking down ANGPTL4 in BMSCs using two independent siRNA sequences. The effects on differentiation were assessed by lipid accumulation and osteogenic mineralization assays, biochemical assays, recombinant protein rescue experiments, time-course Western blot, and qPCR analysis of clinical bone marrow samples. Analysis revealed that OP-BMSCs exhibited significantly enhanced lipid metabolism activity. ANGPTL4 was identified as a core candidate gene, demonstrating robust discriminative power with a mean AUC of 0.777 in 5-fold cross-validation. Functional assays confirmed that ANGPTL4 knockdown significantly inhibited adipogenesis while enhancing osteogenic differentiation independent of cell proliferation. Importantly, treatment with recombinant ANGPTL4 protein effectively reversed these phenotypic changes. Mechanistically, ANGPTL4 silencing specifically upregulated BMP2, BMP4, and BMPR1A, leading to the activation of p-Smad1/5/9 and the accelerated expression of Runx2 and Ocn in a time-dependent manner. Consistent with these findings, ANGPTL4 mRNA levels were significantly elevated in bone marrow samples from OP patients. In conclusion, ANGPTL4 serves as a critical checkpoint connecting lipid metabolism and OP pathology. It inhibits osteogenesis by suppressing the BMP2/4-BMPR1A-Smad signaling axis. Targeting ANGPTL4 effectively restores the adipo-osteogenic balance of BMSCs, suggesting it is a promising candidate target for OP therapy, pending further in vivo validation. Show less
no PDF DOI: 10.1016/j.biochi.2025.12.014
ANGPTL4
Yutong Lin, Danan Wang, Duanbin Li +8 more · 2026 · Atherosclerosis · Elsevier · added 2026-04-24
Angiopoietin-like protein 8 (ANGPTL8), a member of the angiopoietin-like protein (ANGPTL) family, is a physiological inhibitor of lipoprotein lipase (LPL), and plays a critical role in lipoprotein and Show more
Angiopoietin-like protein 8 (ANGPTL8), a member of the angiopoietin-like protein (ANGPTL) family, is a physiological inhibitor of lipoprotein lipase (LPL), and plays a critical role in lipoprotein and triglyceride metabolism in response to nutritional cues. ANGPTL8 is implicated in a wide range of systemic and cellular processes and is closely associated with metabolic and cardiovascular diseases (CVD). Circulating ANGPTL8 is primarily secreted by the liver, with adipose tissue as a secondary source. Its expression is regulated by multiple transcription factors and microRNAs, and is responsive to fasting/refeeding states, hormonal signals, and stress conditions. In lipid metabolism, ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4 to modulate LPL activity under fasting and feeding conditions. In glucose metabolism, ANGPTL8 plays a complex role. While some studies suggest it may improve glucose tolerance and insulin resistance, others indicate it could exacerbate glucose metabolism disorders and diabetes, or have no effect. Cardiovascular diseases are intricately linked to metabolic disorders and diseases. Increasing evidence also links ANGPTL8 to various cardiovascular pathologies, including atherosclerosis, hypertension, cardiomyopathy, cardiac hypertrophy, aortic aneurysm, and dissection. Given the strong interplay between metabolic dysregulation and CVDs, elucidating the role of ANGPTL8 in these processes is of significant interest. This review provides a balanced assessment of ANGPTL8's roles in key pathophysiological processes, highlighting its established functions in metabolism alongside its emerging involvement in CVDs. Understanding the diverse functions of ANGPTL8 in various tissues and metabolic states will lead to new opportunities for therapeutic intervention in cardiometabolic disorders. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2025.120556
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
Jie Cai, Aohuan Huang, Linghui You +10 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Diet-based modulation of the gut microbiota has emerged as a promising strategy to alleviate obesity and its related complications. Our previous study demonstrated that polysaccharide derived from Cor Show more
Diet-based modulation of the gut microbiota has emerged as a promising strategy to alleviate obesity and its related complications. Our previous study demonstrated that polysaccharide derived from Cordyceps militaris (CMP) exerts anti-obesity effects, yet the specific mechanism linking gut microbiota to its metabolic impact remains unclear. Herein, we utilized murine models with distinct gut microbial profiles created via antibiotic cocktails to investigate these mechanisms. The protective effects of CMP against high-fat diet (HFD)-induced obesity and associated metabolic disturbances were substantially impaired in mice depleted of neomycin-sensitive gut bacteria. Metagenomic analyses further established that CMP required these bacteria to restore gut microbial homeostasis. Notably, we observed that CMP elevated hepatic levels of brassicasterol in a manner dependent on neomycin-sensitive gut bacteria. Brassicasterol treatment alone replicated the anti-obesity effects of CMP, as indicated by reduced body weight gain, improved lipid and glucose metabolism, and decreased inflammation. Through transcriptomic and functional analyses, we identified hepatic Apoa4 as a key downstream effector of brassicasterol. Our results indicated that brassicasterol upregulated Apoa4, facilitating lipid transport and suppressing inflammation both in vitro and in vivo. Collectively, our findings indicate that CMP exerts its anti-obesity effects through a neomycin-sensitive gut bacteria-brassicasterol-Apoa4 pathway. This work expands the mechanistic understanding of CMP and highlights a novel microbiota-metabolite-host regulatory axis for dietary intervention in metabolic disorders. Show less
no PDF DOI: 10.1016/j.foodres.2026.118574
APOA4
Alberico L Catapano, Elina Mikhailova, Ann Marie Navar +10 more · 2026 · Journal of the American College of Cardiology · Elsevier · added 2026-04-24
Many adults fail to achieve guideline-directed low-density lipoprotein cholesterol (LDL-C) goals on statin monotherapy, requiring additional nonstatin lipid-lowering medication. Enlicitide, an oral pr Show more
Many adults fail to achieve guideline-directed low-density lipoprotein cholesterol (LDL-C) goals on statin monotherapy, requiring additional nonstatin lipid-lowering medication. Enlicitide, an oral proprotein convertase subtilisin/kexin 9 (PCSK9) inhibitor, lowered LDL-C by 60% compared with placebo; its efficacy compared with other oral nonstatin therapies has yet to be examined. This study assessed the efficacy of enlicitide, a novel oral PCSK9 inhibitor, vs other oral nonstatin therapies. In this phase 3, randomized, double-blind, active-comparator trial, statin-treated adults aged ≥18 years with LDL-C ≥55 mg/dL and a previous major atherosclerotic cardiovascular disease (ASCVD) event, or LDL-C ≥70 mg/dL if at intermediate to high risk for a first event, were randomized in 2:1:1:2 fashion to 20 mg enlicitide (n = 101), 180 mg bempedoic acid (n = 50), 10 mg ezetimibe (n = 50), or 180 mg bempedoic acid plus 10 mg ezetimibe (n = 100) once daily for 56 days. The primary endpoint was mean percentage change in LDL-C from baseline to day 56; secondary endpoints included mean percentage changes in apolipoprotein B (ApoB) and non-high-density lipoprotein cholesterol (nonHDL-C). Safety endpoints included overall adverse events (AEs) and discontinuations due to AEs. Among 301 randomized participants (mean age 64.4 years, 37% female, 98% receiving moderate- to high-intensity statin), 298 (99.0%) completed the trial. The mean percentage change in LDL-C from baseline to day 56 was -64.6% (95% CI: -68.3% to -60.9%) with enlicitide, -6.3% (95% CI: -13.5% to 0.8%) with bempedoic acid, -27.8% (95% CI: -32.3% to -23.4%) with ezetimibe, and -36.5% (95% CI: -40.8% to -32.2%) with bempedoic acid plus ezetimibe; enlicitide was superior to each comparator (all P < 0.001). Reductions in ApoB and nonHDL-C were also greater with enlicitide (all P < 0.001). Proportions of participants with AEs and discontinuations due to AEs were similar across treatment arms. In statin-treated adults with a history of a major ASCVD event or at increased risk for a first event, enlicitide achieved greater reductions in LDL-C, ApoB, and nonHDL-C than other oral nonstatin therapies, demonstrating its potential role as an important add-on option when LDL-C goals are not met with the use of statins alone. (A Study to Evaluate the Efficacy and Safety of Enlicitide Decanoate [MK-0616, Oral PCSK9 Inhibitor] Compared With Ezetimibe or Bempedoic Acid or Ezetimibe and Bempedoic Acid in Adults With Hypercholesterolemia [MK-0616-018] [CORALreef AddOn; NCT06450366). Show less
no PDF DOI: 10.1016/j.jacc.2026.03.036
APOB
Chang-Hao Sun, Xin-Yu Zhu, Zhi-Long Wang +5 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
The ratio of uric acid to high-density lipoprotein cholesterol (UHR) is a novel comprehensive indicator related to dyslipidemia. However, the association between UHR and coronary artery disease (CAD) Show more
The ratio of uric acid to high-density lipoprotein cholesterol (UHR) is a novel comprehensive indicator related to dyslipidemia. However, the association between UHR and coronary artery disease (CAD) risk in patients with chronic kidney disease (CKD) remains unclear. After matching based on age and gender propensity scores, 2124 subjects were included and divided into the CKD group (708 cases) and the non-CKD group (1416 cases). The predictive performance of UHR for CAD was evaluated by the area under the curve (AUC), and the independent association between UHR and the risk of CAD onset was analyzed using a multivariate logistic regression model. The correlation and dose-response relationship between the ratio of uric acid to high-density lipoprotein cholesterol (UHR) and the risk of CAD were analyzed using LOESS fitting and restricted cubic spline (RCS) analysis. After matching, the multiple lipid-related indices (Triglycerides (TG), Remnant Cholesterol (RC), Atherogenic Index (AI), Atherogenic Index of Plasma (AIP), Triglyceride Glucose Index (TyG), Lipoprotein Composite Index (LCI), Triglyceride to High-Density Lipoprotein Cholesterol Ratio (TG/HDL-C), Total Cholesterol to High-Density Lipoprotein Cholesterol Ratio (TC/HDL-C), Low-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (LDL-C/HDL-C), UHR) in the CKD group were significantly higher than those in the non-CKD group. The AUC analysis showed that HDL-C, AIP, TG/HDL-C, and UHR had strong predictive performance in the overall cohort and the non-CKD group, while in the CKD group, HDL-C, AI, and TC/HDL-C are better predictive indicators. After adjusting for all confounding factors, multivariate regression analysis revealed that HDL-C, apolipoprotein A-1 (APOA-1), and the APOA-1/APOB ratio were independent protective factors for CAD in the entire cohort. Among them, the protective effect of HDL-C was the most stable (overall population aOR = 0.26, 95% CI: 0.17-0.39, p < 0.001), and it was significantly in both the CKD (aOR = 0.18, 95% CI: 0.09-0.40, p < 0.001) and non-CKD subgroups (aOR = 0.31, 95% CI: 0.18-0.52, p < 0.001). In CKD, UHR is significantly correlated with CAD (aOR = 6.23, 95% CI: 1.89-20.60, p = 0.003), and the association was more significant in the non-CKD group (aOR = 15.15, 95% CI: 4.20-54.72, p < 0.001). CKD status significantly modified the association between UHR and CAD (P for interaction = 0.015). LOESS fitting suggested that UHR was positively correlated with the probability of CAD occurrence (the correlation was more significant at low UHR, and it slowed down when UHR > 0.5, r = 0.2, p < 0.001), and negatively correlated with eGFR (r = -0.38, p < 0.001). RCS analysis confirmed a significant nonlinear association between UHR and CAD (overall P < 0.001, nonlinear P = 0.002), and the risk of CAD increased when UHR was > 0.41 in CKD patients. UHR is an independent risk factor for coronary heart disease, with higher adjusted OR values and more significant independent risk effects in non-CKD populations. Show less
no PDF DOI: 10.1186/s12872-026-05838-1
APOB
Ankur Pandya, Jinyi Zhu · 2026 · JAMA · added 2026-04-24
no PDF DOI: 10.1001/jama.2026.3531
APOB
Ann Marie Navar, Elina Mikhailova, Alberico L Catapano +13 more · 2026 · The New England journal of medicine · added 2026-04-24
Enlicitide decanoate, an oral proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor, was shown to reduce low-density lipoprotein (LDL) cholesterol levels in a phase 2 trial; longer-term data Show more
Enlicitide decanoate, an oral proprotein convertase subtilisin-kexin type 9 (PCSK9) inhibitor, was shown to reduce low-density lipoprotein (LDL) cholesterol levels in a phase 2 trial; longer-term data are needed. In this multinational, double-blind, randomized, placebo-controlled trial, we enrolled adults with a history of a major atherosclerotic cardiovascular disease event with an LDL cholesterol level of 55 mg per deciliter or higher and those who were at risk for a first atherosclerotic cardiovascular disease event with an LDL cholesterol level of 70 mg per deciliter or higher. Participants were assigned in a 2:1 ratio to receive enlicitide at a dose of 20 mg or placebo daily for 52 weeks. The primary end point was the mean percent change in LDL cholesterol level from baseline to week 24. Key secondary end points were the mean percent change in LDL cholesterol level at week 52 and the mean percent change in levels of non-high-density lipoprotein (non-HDL) cholesterol and apolipoprotein B and the percent change in lipoprotein(a) level at week 24. Of the 2909 participants in the intention-to-treat population, 1935 received enlicitide and 969 received placebo (5 did not receive enlicitide or placebo). The mean age of the participants was 63 years, and 39.3% were women. The mean (±SD) LDL cholesterol level at baseline was 96.1±38.9 mg per deciliter. The mean percent change in LDL cholesterol levels at week 24 was -57.1% (95% confidence interval [CI], -61.8 to -52.5) with enlicitide and 3.0% (95% CI, 0.9 to 5.1) with placebo, representing an adjusted between-group difference of -55.8 percentage points (95% CI, -60.9 to -50.7; P<0.001). The mean percent change in LDL cholesterol level at week 52, the mean percent changes in non-HDL cholesterol and apolipoprotein B levels at week 24, and the percent change in lipoprotein(a) levels at week 24 were significantly greater with enlicitide than with placebo (P<0.001 for all comparisons). The incidence of adverse events did not appear to differ between the groups. Among participants who had a history of or were at risk for a first atherosclerotic cardiovascular disease event, treatment with the oral PCSK9 inhibitor enlicitide resulted in significantly lower LDL cholesterol levels than placebo at 24 weeks. (Funded by MSD [Rahway, NJ]; CORALreef Lipids ClinicalTrials.gov number, NCT05952856.). Show less
no PDF DOI: 10.1056/NEJMoa2511002
APOB
Zongheng Wu, Shumin He, Feng Zhu +2 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Copper overload has been implicated in impaired A total of 117 patients with T2DM (mean age 55.15 ± 10.70 years; 62.4% male) were included. Whole blood copper concentration was measured using inductiv Show more
Copper overload has been implicated in impaired A total of 117 patients with T2DM (mean age 55.15 ± 10.70 years; 62.4% male) were included. Whole blood copper concentration was measured using inductively coupled plasma mass spectrometry. Associations between blood copper and glycemic indicators, including glycated hemoglobin (HbA1c) and fasting plasma glucose (FPG), were evaluated using multivariable linear regression models. Stratified and interaction analyses were performed according to apoB and other lipid-related parameters. After adjustment for potential confounders, a significant interaction between blood copper and apoB was observed in relation to HbA1c (P for interaction< 0.001). Stratified analyses showed that higher blood copper concentration was significantly associated with higher HbA1c levels among patients with lower apoB levels below the study median, whereas no significant association was observed among those with higher apoB levels. Exploratory analyses further indicated that apoB also influenced the association between blood copper and FPG (P for interaction< 0.05), showing a consistent pattern. In patients with T2DM, a significant association between blood copper concentration and glycemic control was observed among individuals with lower apoB levels, whereas no such association was found among those with higher apoB levels. These findings suggest that apoB status may influence the relationship between blood copper and glycemic control and merit further investigation in longitudinal studies. Show less
📄 PDF DOI: 10.3389/fendo.2026.1764209
APOB
Yu Wang, Li Chen, Yingze Ma +8 more · 2026 · Nature communications · Nature · added 2026-04-24
Dietary fat absorption is among the most energy-demanding processes of nutrient uptake. Fatty acid activation, triglyceride synthesis, and the trafficking of chylomicrons through the secretory pathway Show more
Dietary fat absorption is among the most energy-demanding processes of nutrient uptake. Fatty acid activation, triglyceride synthesis, and the trafficking of chylomicrons through the secretory pathway - all require ATP. How enterocytes accommodate the surge in ATP consumption following fat uptake is unclear. We show that the purine biosynthesis/salvage pathway supplies necessary ATP and that Ankyrin Repeat Domain 9 (ANKRD9) couples ATP synthesis and lipoprotein trafficking. Ankrd9 regulates enzymes within the purine biosynthesis pathway to increase ATP synthesis and facilitate Golgi dynamics. Intracellular localization of ANKRD9 is lipid and ATP-dependent. Inactivation of Ankrd9 in mice reduces intestinal ATP despite intact mitochondrial and glycolytic function, alters Golgi morphology, delays ApoB/chylomicron trafficking, and causes lipid accumulation in enterocytes, along with a lean body phenotype. Taken together, the results reveal a previously unrecognized mechanism that regulates lipid absorption in enterocytes and identify ANKRD9 as a central component of this mechanism. Show less
no PDF DOI: 10.1038/s41467-026-70332-3
APOB
De Xu, Ruijuan Duan, Ruiqi Zhu +2 more · 2026 · Journal of medical biochemistry · added 2026-04-24
To investigate the connection betweenischemic stroke (IS) patients' risk of dying after being discharged and their residual cholesterol (RC) levels uponadmission. 2021 IS patients between the ages of Show more
To investigate the connection betweenischemic stroke (IS) patients' risk of dying after being discharged and their residual cholesterol (RC) levels uponadmission. 2021 IS patients between the ages of 35 and 80were chosen as the study's subjects, and data on deathendpoints following discharge were gathered. The doseresponse association between the risk of death and the RCat admission was examined using restricted cubic spline(RCS) regression. The hazard ratio (HR) and 95% CI werecalculated via Cox regression to analyse the associationbetween the RC level at admission and the risk of deathafter discharge in patients with IS. According to the RCS model, RC levels were nonlinearly associated with deaths from IS and other causes(P<0.001). With the median RC level as the cutoff value,the subjects were divided into two groups: a low RC group(RC<0.72 mmol/L) and a high RC group (RC≥0.72mmol/L). Compared with those in the high RC group, theage and male ratio in the low RC group were significantlygreater. The fasting blood glucose (GLU), total cholesterol(TC), triglyceride (TG), low-density lipoprotein cholesterol(LDL-C), non-high-density lipoprotein cholesterol (nonHDL-C), apolipoprotein A-1 (ApoA-1), and apolipoproteinB (ApoB) levels, as well as diabetes rates, were lower (P=0.01). Cox regression analysis revealed that withoutadjusting for covariates, the high-level RC group presenteda lower risk of all-cause death than the low-level RC group(HR=0.765, 95% CI: 0.619~0.946, P=0.013) and alower risk of death from IS (HR = 0.638, 95% CI:0.435~0.936, P=0.022). After adjusting for sex, age,smoking status, drinking status, hypertension status, anddiabetes status, the high-level group still had a lower risk ofall-cause death (HR = 760, 95% CI: 0.614~0.941,P=0.012) and a lower risk of death from IS (HR=0.653,95% CI: 0.444-0.961, P=0.031). Male sex (HR=0.753,95% CI: 0.572~0.990, P=0.042). Age ≥65 years (HR=0.598, 95% CI: 0.391~0.916, P=0.018), nonsmokingstatus (HR=0.628, 95% CI: 0.408~0.967, P=0.035),nonalcoholic status (HR=0.656, 95% CI: 0.439~0.979,P=0.039), not complicated with hypertension (HR=0.321, 95% CI: 0.108~0.957, P=0.041), no diabetesmellitus (HR=0.607, 95% CI: 0.389~0.947, P=0.028).Compared with those in the high RC group, the IS patientsin the low RC group had a lower incidence of all-causedeath, IS death and other causes of death and a higher survival rate. An RC<0.72 mmol/L at admission is associated with an increased risk of all-cause death and longterm IS death after discharge. Show less
📄 PDF DOI: 10.5937/jomb0-59233
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
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
Fanrong Zeng, Xinyi Zhang, Meng Zhang +6 more · 2026 · Frontiers in endocrinology · Frontiers · added 2026-04-24
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and Show more
This study investigated the impact of This retrospective case-control study involved 628 CAD patients and 628 matched controls without CAD. ApoE genotyping was conducted using PCR-chip technology, and genotype and allele frequencies were compared between groups. Multivariate logistic regression analyzed the link between ApoE polymorphisms and CAD risk in populations at middle and high altitudes. The data revealed significant differences in These findings validated that the Show less
📄 PDF DOI: 10.3389/fendo.2026.1765770
APOB
Hongming Wei, Jei Feng, Lin Zhu +3 more · 2026 · Clinica chimica acta; international journal of clinical chemistry · Elsevier · added 2026-04-24
Etamsylate, a commonly used clinical hemostatic agent, may cause false decreases in biochemical test results through inhibition of enzymatic activity or interference with chromogenic reactions. Howeve Show more
Etamsylate, a commonly used clinical hemostatic agent, may cause false decreases in biochemical test results through inhibition of enzymatic activity or interference with chromogenic reactions. However, insufficient research on its interference mechanisms and correction methods increases the risk of clinical misjudgment. Serum samples were collected from three patients treated with etamsylate and analyzed using the Roche Cobas 8000 c701 automated biochemical analyzer. Samples were tested at undiluted (0-fold), 3-fold, 5-fold, and 10-fold dilution gradients to evaluate drug interference characteristics and the efficacy of dilution-based correction. Among the 46 routine biochemical assays evaluated, etamsylate exhibited significant negative interference on 12 parameters, including creatinine (CREA), albumin (ALB), and cholyglycine (CG). The interference diminished linearly with increasing dilution factors, demonstrating a dose-dependent recovery trend. CG demonstrated the most pronounced changes. No significant interference was observed for 12 other tests, such as alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Following dilution, six parameters, including apolipoprotein A1 (APOA1), apolipoprotein A2 (APOA2), and apolipoprotein B (APOB), exhibited a paradoxical decrease in assay results, suggesting the presence of distinct interference mechanisms. The dilution method can effectively correct the false decrease interference of etamsylate on biochemical detection. However, it is necessary to optimize the dilution factors to avoid loss of sensitivity. It is recommended that laboratories establish a drug interference database, standardize the gradient dilution process, and promote multi-disciplinary collaboration to optimize the detection system. Show less
no PDF DOI: 10.1016/j.cca.2025.120524
APOB
Yunqing Zhu, Rui Yuan, Zhe Lu +10 more · 2026 · Cell reports. Medicine · Elsevier · added 2026-04-24
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target gene Show more
Schizophrenia is frequently comorbid with dyslipidemia and hyperglycemia. However, whether metabolic-modifying agents aggravate schizophrenia progression remains unclear. We perform a drug-target genetic association study in two independent Han Chinese schizophrenia cohorts (N = 2,111/292 for discovery/validation). Leveraging metabolic genome-wide association studies, we generate genetic risk scores (GRSs) for lipid-modifying and hypoglycemic targets. Those with higher APOC3 (inhibited by volanesorsen/olezarsen) GRS exhibit attenuated triglycerides and improvement in negative symptoms assessed by Positive and Negative Syndrome Scale (PANSS) (β = 1.23, 95% confidence interval [CI]: 0.30-2.16). Higher GCK (activated by dorzagliatin) GRS is associated with decreased glucose and less improvement across PANSS total (β = -1.70, 95% CI: -2.91-0.50), positive, negative, general subscales. Causal associations of GCK are replicated in independent validation. The effects of APOC3 and GCK on negative symptom recovery are robust in hyperlipidemic/diabetic subgroups. Genetically proxied proteomics analysis provides further functional validation for the identified target-outcome associations. Our findings suggest volanesorsen/olezarsen as potential adjunctive candidates; dorzagliatin warrants prudence in schizophrenia with metabolic disturbance. Show less
📄 PDF DOI: 10.1016/j.xcrm.2026.102653
APOC3
Li Pan, Qi-Biao Wu, Zhou Zhu +5 more · 2026 · Zhen ci yan jiu = Acupuncture research · added 2026-04-24
To observe the effect of moxibustion on the lipid metabolism, aortic arch and mitochondrial structure, PTEN-induced kinase 1 (PINK1)/Parkin signaling pathway, and the expressions of apoptosis-related Show more
To observe the effect of moxibustion on the lipid metabolism, aortic arch and mitochondrial structure, PTEN-induced kinase 1 (PINK1)/Parkin signaling pathway, and the expressions of apoptosis-related proteins in atherosclerotic (AS) mice, so as to explore its potential mechanisms underlying prevention and treatment of AS. Ten C57BL/6J mice were fed with normal chow and used as the control group. Thirty ApoE Compared with the control group, the contents of serum TC, TG and LDL-C, expression levels of PINK1, Parkin, Bax and Caspase3 protein, and the immunoactivity of Parkin and Cyt C were significantly increased ( Moxibustion can improve the lipid metabolism level, relieve pathological injury of the thoracic aorta, restore mitochondrial structure and function in ApoE Show less
no PDF DOI: 10.13702/j.1000-0607.20250472
APOE
Diya Yang, Yihe Yang, Nicholas R Ray +11 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
Epidemiological studies have consistently shown that chronic kidney disease is associated with increased Alzheimer disease risk. However, the underlying genetic architecture connecting these two condi Show more
Epidemiological studies have consistently shown that chronic kidney disease is associated with increased Alzheimer disease risk. However, the underlying genetic architecture connecting these two conditions remains largely unexplored beyond genome-wide correlation analyses. Here, we conducted the first comprehensive, multi-ancestry, large-scale genetic investigation to identify shared genetic components between kidney function and Alzheimer disease. We leveraged large-scale genome-wide association study summary statistics for estimated glomerular filtration rate (N≈1.5 million European, N≈145,000 African ancestry) and late-onset Alzheimer disease (N=63,926 and N=398,058 in two European cohorts; N=9,168 in African ancestry) corrected for competing risk bias. We deployed a novel analytical framework integrating linkage disequilibrium score regression and polygenic risk score analysis, local analysis of [co]variant association, conjunctional false discovery rate analysis with Bayesian colocalization and fine-mapping, and bidirectional cis-Mendelian randomization to identify vertical pleiotropy. Despite the absence of genome-wide genetic correlation (r Show less
no PDF DOI: 10.64898/2026.04.04.26350158
APOE
Jie Yang, Jinghua Wang, Wenhui Chai +20 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive perfo Show more
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive performance. In this study, we examined the associations between plasma klotho levels and plasma biomarkers, as well as amyloid beta (Aβ) positron emission tomography (PET), tau PET, neurodegeneration, and cognition, in 354 older adults. Stratified association, interaction, and mediation analyses were conducted to elucidate apolipoprotein E (APOE) ε4-dependent relationships and potential underlying pathways. Higher plasma klotho levels were associated with lower AD-related biomarkers and cognitive decline in APOE ε4 carriers. Plasma klotho and APOE ε4 exhibited significant or marginal interactions with less abnormal changes in plasma phosphorylated tau217, glial fibrillary acidic protein, neurofilament light chain, Aβ PET, and cognition. These AD-related biomarkers mediated the protective effect of plasma klotho on cognitive function in APOE ε4 carriers. This study suggests that plasma klotho is an APOE ε4-dependent protective factor, which may attenuate AD-related pathology and improve cognitive performance. Show less
📄 PDF DOI: 10.1002/alz.71397
APOE
Fanfan Meng, Tingting Zhao, Xi Yang +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a multifactorial disorder. The sortilin-related receptor 1 (
no PDF DOI: 10.1177/13872877261441644
APOE