👤 Guangfeng Zhao

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Also published as: A N Zhao, Ahui Zhao, Ai Zhao, Aihua Zhao, Aimin Zhao, Andrea Zhao, Andrew J Zhao, Anna Zhao, Aonan Zhao, B Zhao, Bangzhe Zhao, Baolin Zhao, Baosheng Zhao, Baoyu Zhao, Bei Zhao, Bei-Bei Zhao, Beibei Zhao, Beichuan Zhao, Bi Zhao, Bin Zhao, Bing-Qian Zhao, Bingcong Zhao, Binggong Zhao, Binghai Zhao, Bingli Zhao, Bingru Zhao, Bishi Zhao, Bo Zhao, Bo-Wen Zhao, Caifeng Zhao, Caiping Zhao, Caiqi Zhao, Chang Zhao, Changle Zhao, Changqing Zhao, Changsheng Zhao, Changzhi Zhao, Chao Zhao, Chaofen Zhao, Chaoyue Zhao, Chen Zhao, Chen-Guang Zhao, Chen-Liang Zhao, Chen-Xi Zhao, Chenchen Zhao, Cheng Zhao, Cheng-Long Zhao, Chengcheng Zhao, Chengjian Zhao, Chengjun Zhao, Chengrui Zhao, Chengshui Zhao, Chenming Zhao, Chenxu Zhao, Chenye Zhao, Chuan Zhao, Chuan-Zhi Zhao, Chuanqi Zhao, Chun Yu Zhao, Chun-Hui Zhao, Chunjie Zhao, Chunli Zhao, Chunqing Zhao, Chunrong Zhao, Chuntao Zhao, Chunyan Zhao, Chuo Zhao, Cong Zhao, Cuifen Zhao, Cuimei Zhao, Cuiqing Zhao, Cun Zhao, D C Zhao, Dan Zhao, Dandan Zhao, Danping Zhao, Danrui Zhao, Danyang Zhao, Daqing Zhao, Dawang Zhao, Dawen Zhao, Dechang Zhao, Defeng Zhao, Dekuang Zhao, Dengyun Zhao, Deping Zhao, Di Zhao, Dingmeng Zhao, Dingwei Zhao, Dingying Zhao, Dong Zhao, Dong-Dong Zhao, Dongbao Zhao, Dongfeng Zhao, Dongmei Zhao, Dongping Zhao, En-chun Zhao, Ende Zhao, F Zhao, Fan Zhao, Fang Zhao, Fangfang Zhao, Fangjue Zhao, Fangli Zhao, Fangping Zhao, Fangyi Zhao, Fangyu Zhao, Faye Zhao, Fei Zhao, Feibo Zhao, Feipeng Zhao, Feitao Zhao, Feng Zhao, Fengbo Zhao, Fengdi Zhao, Fenghui Zhao, Fengshu Zhao, Fu-Ying Zhao, Fuping Zhao, Fuyu Zhao, Gaichao Zhao, Gang Zhao, Gaofeng Zhao, Ge-Xin Zhao, Gengxiang Zhao, Guang-Hui Zhao, Guanghao Zhao, Guanghui Zhao, Guangqiang Zhao, Guangshan Zhao, Guangyuan Zhao, Gui Zhao, Guifang Zhao, Guihu Zhao, Guile Zhao, Guiping Zhao, Guizhen Zhao, Guo-Jun Zhao, Guoqing Zhao, Guorui Zhao, Guozhi Zhao, Haifeng Zhao, Hailing Zhao, Haiquan Zhao, Hairong Zhao, Haixin Zhao, Haiyan Zhao, Haizhou Zhao, Han Zhao, Hanhan Zhao, Hanjun Zhao, Hanqing Zhao, Hao Zhao, Haonan Zhao, Haoyan Zhao, He Zhao, Heng Zhao, Hengxia Zhao, Hong Zhao, Hong-Bo Zhao, Hong-Yang Zhao, Hong-Ye Zhao, Hongbin Zhao, Hongbo Zhao, Hongda Zhao, Hongfeng Zhao, Honghui Zhao, Hongli Zhao, Hongling Zhao, Hongmei Zhao, Hongmeng Zhao, Hongqi Zhao, Hongqing Zhao, Hongwei Zhao, Hongxia Zhao, Hongyan Zhao, Hongyi Zhao, Hongying Zhao, Hongyu Zhao, Houyu Zhao, Hu Zhao, Hua Zhao, Huadong Zhao, Huakan Zhao, Huan Zhao, Huan-Yu Zhao, Huanxin Zhao, Huanyu Zhao, Huaqing Zhao, Huashan Zhao, Huaying Zhao, Hui Zhao, Hui-Hui Zhao, Huihan Zhao, Huiijin Zhao, Huili Zhao, Huilin Zhao, Huiling Zhao, Huishou Zhao, Huiying Zhao, Huiyong Zhao, J H Zhao, J V Zhao, J Zhao, J-F Zhao, Jean J Zhao, Ji Zhao, Ji-Meng Zhao, Ji-jun Zhao, Jia Zhao, Jia-Li Zhao, Jia-Mu Zhao, Jia-Xuan Zhao, Jia-Yi Zhao, Jia-jun Zhao, Jiabin Zhao, Jiajing Zhao, Jiale Zhao, Jialin Zhao, Jian Zhao, Jian-Yuan Zhao, Jian-hua Zhao, Jianan Zhao, Jiang Zhao, Jiangchao Zhao, Jiangpei Zhao, Jianguo Zhao, Jianhong Zhao, Jianhua Zhao, Jianjun Zhao, Jianrong Zhao, Jianwen Zhao, Jianxin Zhao, Jianzhi Zhao, Jiao Zhao, Jiaxuan Zhao, Jichen Zhao, Jie V Zhao, Jie Zhao, Jie-Dong Zhao, Jie-Jun Zhao, Jiexiang Zhao, Jiexiu Zhao, Jieyu Zhao, Jieyun Zhao, Jikai Zhao, Jin Zhao, Jin-Feng Zhao, Jin-Ming Zhao, Jinbo Zhao, Jincun Zhao, Jinfang Zhao, Jing Hau Zhao, Jing Hua Zhao, Jing Zhao, Jing-Cheng Zhao, Jing-Feng Zhao, Jing-Jing Zhao, Jing-Yi Zhao, Jing-Yu Zhao, JingLi Zhao, JingTing Zhao, Jingbo Zhao, Jingjie Zhao, Jingjing Zhao, Jingkun Zhao, Jinglin Zhao, Jingru Zhao, Jingtai Zhao, Jingtong Zhao, Jingya Zhao, Jingyi Zhao, Jingying Zhao, Jingyuan Zhao, Jinjing Zhao, Jinlan Zhao, Jinmin Zhao, Jinpeng Zhao, Jinping Zhao, Jinshan Zhao, Jinsheng Zhao, Jinwen Zhao, Jinyao Zhao, Jiong-Yao Zhao, Jiwei Zhao, Jizong Zhao, Juan Zhao, Juanjuan Zhao, Jue Zhao, Jun Zhao, Jun-Hui Zhao, Junfeng Zhao, Junhong Zhao, Junjie Zhao, Junkang Zhao, Junli Zhao, Junqin Zhao, Junzhang Zhao, Kai Zhao, Kaidong Zhao, Kaihui Zhao, Kaikai Zhao, Kaiyue Zhao, Kake Zhao, Kangqi Zhao, Ke Zhao, Ke-Xin Zhao, Keji Zhao, Keni Zhao, Keqin Zhao, Kewen Zhao, Kun Zhao, L Zhao, Lan Zhao, Lanhua Zhao, Le Zhao, Lei Zhao, Leyang Zhao, Leying Zhao, Li Feng Zhao, Li Zhao, Li-Bo Zhao, Li-Feng Zhao, Li-Hua Zhao, Li-Li Zhao, Li-Mei Zhao, Li-ke Zhao, Lianfang Zhao, Liang Zhao, Liang-gong Zhao, Liangyu Zhao, Lianhua Zhao, Lianmei Zhao, Liansheng Zhao, Lichun Zhao, Lihua Zhao, Lijia Zhao, Lijian Zhao, Lijuan Zhao, Lijun Zhao, Lili Zhao, Limei Zhao, Liming Zhao, Lin Yi Zhao, Lin Zhao, Lina Zhao, Ling Zhao, Ling-Ling Zhao, Lingling Zhao, Lingqiang Zhao, Lingrui Zhao, Linhai Zhao, Linhua Zhao, Linlin Zhao, Liping Zhao, Liqin Zhao, Liwei Zhao, Long Zhao, Longhe Zhao, Lu Zhao, Lujun Zhao, Lun Zhao, Luo-Sha Zhao, Luqi Zhao, Luyao Zhao, M Zhao, Mai Zhao, Mei Zhao, Meifang Zhao, Meiqi Zhao, Meng Zhao, Mengjia Zhao, Mengjie Zhao, Mengmeng Zhao, Mengshu Zhao, Mengxi Zhao, Mengya Zhao, Michelle Zhao, Min Zhao, Mindi Zhao, Ming Zhao, Ming-Gao Zhao, Ming-Tao Zhao, Mingjing Zhao, Mingjun Zhao, Mingming Zhao, Mingwei Zhao, Mingyue Zhao, Mo Zhao, Moze Zhao, N Zhao, Na Zhao, Na-Na Zhao, Nan Zhao, Ning Zhao, Ningkang Zhao, Pandeng Zhao, Peijun Zhao, Peinan Zhao, Peipei Zhao, Peishen Zhao, Peng Zhao, Pengjun Zhao, Ping Zhao, Pingfan Zhao, Pu Zhao, Qi Zhao, Qian Zhao, Qiancheng Zhao, Qianhua Zhao, Qianjun Zhao, Qianyi Zhao, Qihan Zhao, Qilin Zhao, Qin Zhao, Qin-Shi Zhao, Qinfei Zhao, Qing Zhao, Qing-Chun Zhao, Qing-Li Zhao, Qingbo Zhao, Qingchun Zhao, Qinghe Zhao, Qingqing Zhao, Qingshi Zhao, Qingwen Zhao, Qingzuo Zhao, Qiong Zhao, Qiongxian Zhao, Qiongyi Zhao, Qiqi Zhao, Qitao Zhao, Qiuyue Zhao, Quan Zhao, Quanzhen Zhao, Ran Zhao, Ranran Zhao, Ranzun Zhao, Ren Zhao, Renfeng Zhao, Renjia Zhao, Richard L Zhao, Rong Jie Zhao, Rong Zhao, Rui Zhao, Ruidan Zhao, Ruiqi Zhao, Ruixuan Zhao, Ruizhen Zhao, Runming Zhao, Ruohan Zhao, Ruojin Zhao, Ruxun Zhao, Ruyi Zhao, S H Zhao, S S Zhao, S-P Zhao, Sha Zhao, Shan-Shan Zhao, Shane R Zhao, Shanshan Zhao, Shanzhi Zhao, Shao-Zhen Zhao, Shaorong Zhao, Shaoyang Zhao, Sheng Zhao, Shengguo Zhao, Shengjun Zhao, Shenjun Zhao, Shi Zhao, Shi-Min Zhao, Shigang Zhao, Shihua Zhao, Shiji Zhao, Shimiao Zhao, Shitian Zhao, Shiwei Zhao, Shu-Ning Zhao, Shuai Zhao, Shuang Zhao, Shuang-Qiao Zhao, Shuangshuang Zhao, Shuangxia Zhao, Shuanping Zhao, Shufen Zhao, Shui-ping ZHAO, Shuiping Zhao, Shujuan Zhao, Shuliang Zhao, Shunying Zhao, Shuqiang Zhao, Shuxuan Zhao, Shuyue Zhao, Shuzhen Zhao, Shuzhi Zhao, Si-Jia Zhao, Sihai Zhao, Siqi Zhao, Sitong Zhao, Siyuan Zhao, Song Zhao, Song-Song Zhao, Songchen Zhao, Songping Zhao, Steven Zhao, Suonan Zhao, Suwen Zhao, T C Zhao, Tanjun Zhao, Tian Zhao, Tian-Yu Zhao, Tiancheng Zhao, Tianjing Zhao, Tianna Zhao, Tianyang Zhao, Tianyong Zhao, Tianyu Zhao, Tieqiang Zhao, Tiesuo Zhao, Ting C Zhao, Ting Zhao, Tingrui Zhao, Tingting Zhao, Tong Zhao, Tongfeng Zhao, W S Zhao, W Zhao, W-C Zhao, Wang ZHAO, Wang-Sheng Zhao, Wanglin Zhao, Wangsheng Zhao, Wanni Zhao, Wanqiu Zhao, Wanting Zhao, Wanxin Zhao, Wei Zhao, Wei-Li Zhao, Wei-Qian Zhao, Weichao Zhao, Weifeng Zhao, Weikun Zhao, Weimin Zhao, Weina Zhao, Weipeng Zhao, Weiqi Zhao, Weisong Zhao, Weiwei Zhao, Weixin Zhao, Weiyu Zhao, Weiyue Zhao, Wen Zhao, Wen-Ning Zhao, Wen-qiu Zhao, Wencai Zhao, Wenchen Zhao, Wenhong Zhao, Wenhua Zhao, Wenjing Zhao, Wenjuan Zhao, Wenjun Zhao, Wenming Zhao, Wenpeng Zhao, Wenshan Zhao, Wenshu Zhao, Wensi Zhao, Wenting Zhao, Wenxin Zhao, Wenxu Zhao, Wenye Zhao, Wenyu Zhao, Wenyuan Zhao, Wukui Zhao, X S Zhao, X Zhao, Xi Zhao, Xi-Yu Zhao, Xia Zhao, Xian Zhao, Xiang Zhao, Xiang-Hui Zhao, Xiangdong Zhao, Xiangge Zhao, Xianghu Zhao, Xianglong Zhao, Xiangqin Zhao, Xiao Zhao, Xiao-Fan Zhao, Xiao-Fang Zhao, Xiao-Jie Zhao, Xiao-Jing Zhao, Xiao-Ning Zhao, Xiao-Yu Zhao, XiaoQing Zhao, Xiaodong Zhao, Xiaoduo Zhao, Xiaofang Zhao, Xiaofei Zhao, Xiaoguang Zhao, Xiaohan Zhao, Xiaohang Zhao, Xiaohong Zhao, Xiaohui Zhao, Xiaojun Zhao, Xiaoli Zhao, Xiaoling Zhao, Xiaoming Zhao, Xiaopei Zhao, Xiaopeng Zhao, Xiaoqiang Zhao, Xiaoqin Zhao, Xiaowen Zhao, Xiaoxi Zhao, Xiaoyan Zhao, Xiaoyang Zhao, Xiaoyao Zhao, Xiaoyu Zhao, Xiaoyuan Zhao, Xiaoyun Zhao, Xiaozhi Zhao, Xibao Zhao, Xilin Zhao, Xin Zhao, Xin-Yuan Zhao, Xincheng Zhao, Xing Zhao, Xing-Bo Zhao, Xingang Zhao, Xingbo Zhao, Xingsen Zhao, Xinguo Zhao, Xingwang Zhao, Xingyi Zhao, Xingyu Zhao, Xinhan Zhao, Xinhui Zhao, Xinjie Zhao, Xinlei Zhao, Xinming Zhao, Xinrui Zhao, Xinyang Zhao, Xinying Zhao, Xinyu Zhao, Xinyue Zhao, Xinzhi Zhao, Xipeng Zhao, Xitong Zhao, Xiu-Ju Zhao, Xiujuan Zhao, Xiuli Zhao, Xiumei Zhao, Xiumin Zhao, Xiurong Zhao, Xiutao Zhao, Xiuxin Zhao, Xiuyun Zhao, Xu Zhao, Xu-Zi Zhao, Xuan Zhao, Xudong Zhao, Xue-Li Zhao, Xue-Qiao Zhao, Xueli Zhao, Xueqing Zhao, Xuerong Zhao, Xuesong Zhao, Xueying Zhao, Xuli Zhao, Xunying Zhao, Y U Zhao, Y Z Zhao, Y Zhao, Ya Zhao, Yafei Zhao, Yahui Zhao, Yajie Zhao, Yali Zhao, Yan G Zhao, Yan Ting Zhao, Yan Zhao, Yan-Hong Zhao, Yan-Lin Zhao, Yan-Ni Zhao, Yanan Zhao, Yanbin Zhao, Yandong Zhao, Yanfei Zhao, Yang Zhao, Yangang Zhao, Yangqi Zhao, Yanhong Zhao, Yanhua Zhao, Yanhui Zhao, Yanli Zhao, Yanna Zhao, Yanni Zhao, Yanrong Zhao, Yanxiang Zhao, Yanyan Zhao, Yanyu Zhao, Yao Zhao, Yating Zhao, Yawei Zhao, Ye Zhao, Yeli Zhao, Yi Zhao, Yi-Fan Zhao, Yichao Zhao, Yifan Zhao, Yifang Zhao, Yiheng Zhao, Yijing Zhao, Yijun Zhao, Yikun Zhao, Yilin Zhao, Yiming Zhao, Yimu Zhao, Yin Zhao, Ying Ming Zhao, Ying Xin Zhao, Ying Zhao, Ying-Peng Zhao, Ying-Zheng Zhao, Yingchao Zhao, Yingdong Zhao, Yingmin Zhao, Yingming Zhao, Yingpeng Zhao, Yingqi Zhao, Yingxin Zhao, Yingying Zhao, Yingzheng Zhao, Yinlong Zhao, Yiqiang Zhao, Yisha Zhao, Yiwei Zhao, Yixia Zhao, Yixiu Zhao, Yixuan Zhao, Yixue Zhao, Yiyang Zhao, Yiyi Zhao, Yizhen Zhao, Yong Zhao, Yong-Liang Zhao, Yong-fang Zhao, Yongchao Zhao, Yongfei Zhao, Yongjian Zhao, Yongju Zhao, Yonglin Zhao, Yonglong Zhao, Yongqi Zhao, Yongqin Zhao, Yongting Zhao, Yongxia Zhao, Yongxiang Zhao, Yu Zhao, Yu-Cong Zhao, Yu-Lin Zhao, Yu-Xia Zhao, Yu-pei Zhao, Yuan Zhao, Yuan-Yuan Zhao, Yuanhui Zhao, Yuanji Zhao, Yuanjin Zhao, Yuanyin Zhao, Yuanyuan Zhao, Yuanzhi Zhao, Yubai Zhao, Yubo Zhao, Yuchen Zhao, Yudan Zhao, Yudi Zhao, Yue Zhao, Yue-Chao Zhao, Yuee Zhao, Yuehan Zhao, Yueyang Zhao, Yueying Zhao, Yufan Zhao, Yufei Zhao, Yuhang Zhao, Yuhong Zhao, Yuhui Zhao, Yujiao Zhao, Yujie Zhao, Yukui Zhao, Yulong Zhao, Yun Zhao, Yun-Li Zhao, Yun-Tao Zhao, Yunbo Zhao, Yunchao Zhao, Yunli Zhao, Yunwang Zhao, Yuqi Zhao, Yurong Zhao, Yuru Zhao, Yusen Zhao, Yuting Zhao, Yutong Zhao, Yuwen Zhao, Yuxi Zhao, Yuxia Zhao, Yuxiao Zhao, Yuxin Zhao, Yuyang Zhao, Yuzhen Zhao, Yuzheng Zhao, Z Zhao, Zaixu Zhao, Zanmei Zhao, Ze Hua Zhao, Ze-Hua Zhao, Ze-Run Zhao, Ze-Yu Zhao, Zeng-Ren Zhao, Zengqi Zhao, Zexi Zhao, Zhan Zhao, Zhanzheng Zhao, Zhao Zhao, Zhe Yu Zhao, Zhe Zhao, Zhen Zhao, Zhen-Long Zhao, Zhen-Wang Zhao, Zheng Zhao, Zhengjiang Zhao, Zhengyan Zhao, Zhenhua Zhao, Zhenlin Zhao, Zhensheng Zhao, Zhenyu Zhao, Zhi-Kun Zhao, Zhibo Zhao, Zhichao Zhao, Zhicong Zhao, Zhigang Zhao, Zhihao Zhao, Zhihe Zhao, Zhihui Zhao, Zhijian Zhao, Zhikang Zhao, Zhikun Zhao, Zhiming Zhao, Zhipeng Zhao, Zhiqiang Zhao, Zhiwei Zhao, Zhiying Zhao, Zhiyun Zhao, Zhongming Zhao, Zhongquan Zhao, Zhongxin Zhao, Zhuoyan Zhao, Zifeng Zhao, Zihan Zhao, Zihe Zhao, Zijia Zhao, Zijie Zhao, Zijin Zhao, Ziqi Zhao, Ziqin Zhao, Zirui Zhao, Zitong Zhao, Ziyi Zhao, Ziyu Zhao, Zongjiang Zhao, Zongren Zhao, Zongsheng Zhao, Zuhang Zhao
articles
Yu Liu, Zhisheng Wang, Wenshuo Xi +5 more · 2025 · Frontiers in microbiology · Frontiers · added 2026-04-24
Gut microbiota can digest and ferment feed into metabolites to influence the meat quality. Probiotics are used to regulate the gut microbiota. In this study, a total of 360 broilers were assigned to 4 Show more
Gut microbiota can digest and ferment feed into metabolites to influence the meat quality. Probiotics are used to regulate the gut microbiota. In this study, a total of 360 broilers were assigned to 4 treatments (10 broilers per cage): control (Con), low dose of Show less
📄 PDF DOI: 10.3389/fmicb.2025.1519552
LPL
Wen Li, Yuxing Luo, Shoujia Zhu +3 more · 2025 · Poultry science · Elsevier · added 2026-04-24
Yolk percentage is a critical index in the egg product industry, reflecting both nutritional value and economic benefits. To elucidate the underlying mechanisms that contribute to variations in egg yo Show more
Yolk percentage is a critical index in the egg product industry, reflecting both nutritional value and economic benefits. To elucidate the underlying mechanisms that contribute to variations in egg yolk percentage, we performed integrated transcriptome and metabolome analyses on the liver, ovary, and magnum tissues of Rhode Island Red chickens with high and low yolk percentages. A total of 322 differentially expressed genes (DEGs) and 128 significantly differential metabolites (SDMs) (VIP>1, P < 0.05) were identified in the liver, whereas 419 DEGs and 215 SDMs were detected in the ovary, and 238 DEGs along with 47 SDMs were found in the magnum. In the liver, genes such as HMGCR, DHCR7, MSMO1, and CYP7A1 were linked to cholesterol metabolism, essential for steroid hormone synthesis and yolk formation, while ACACB, ACSL1, ACSL4, LPL, and SGPP2 were involved in fatty acid biosynthesis, a key process for supplying energy and structural components of the yolk. In the ovary, COL6A6, COMP, CHAD, ITGA7, THBS2, and TNC contributed to extracellular matrix-receptor interactions, which are fundamental for follicle development and oocyte maturation. In the magnum, UGT1A1, MAOB, and ALDH3B2 participated in drug metabolism-cytochrome P450 and amino acid metabolism, ensuring a proper environment for egg white formation and potentially influencing nutrient allocation to the yolk. Metabolic pathway enrichment revealed that steroid hormone biosynthesis, glycerophospholipid metabolism, and betaine metabolism were predominant in the liver; pyruvate, taurine, and hypotaurine metabolism in the ovary; and phenylalanine metabolism in the magnum. Moreover, integrated analysis highlighted key metabolites and genes potentially regulating yolk deposition, including 7,8-dihydroneopterin and Pg 38:4 in the liver (related to immune modulation and lipid metabolism, respectively), thalsimine in the ovary, as well as DL-glutamine in the magnum, all of which may be crucial for maintaining metabolic homeostasis and supporting egg formation. Collectively, these findings deepen our understanding of how distinct molecular and metabolic pathways in the liver, ovary, and magnum orchestrate yolk proportion and deposition. Such insights may advance future strategies to improve egg quality and productivity in poultry breeding programs. Show less
📄 PDF DOI: 10.1016/j.psj.2025.104815
LPL
Liwan Fu, Qin Liu, Hong Cheng +3 more · 2025 · Journal of the American Heart Association · added 2026-04-24
The differential impact of serum lipids and their targets for lipid modification on cardiometabolic disease risk is debated. This study used Mendelian randomization to investigate the causal relations Show more
The differential impact of serum lipids and their targets for lipid modification on cardiometabolic disease risk is debated. This study used Mendelian randomization to investigate the causal relationships and underlying mechanisms. Genetic variants related to lipid profiles and targets for lipid modification were sourced from the Global Lipids Genetics Consortium. Summary data for 10 cardiometabolic diseases were compiled from both discovery and replication data sets. Expression quantitative trait loci data from relevant tissues were employed to evaluate significant lipid-modifying drug targets. Comprehensive analyses including colocalization, mediation, and bioinformatics were conducted to validate the results and investigate potential mediators and mechanisms. Significant causal associations were identified between lipids, lipid-modifying drug targets, and various cardiometabolic diseases. Notably, genetic enhancement of LPL (lipoprotein lipase) was linked to reduced risks of myocardial infarction (odds ratio [OR] The study substantiates the causal role of lipids in specific cardiometabolic diseases, highlighting LPL as a potent drug target. The effects of LPL are suggested to be influenced by changes in glucose and blood pressure, providing insights into its mechanism of action. Show less
📄 PDF DOI: 10.1161/JAHA.124.038857
LPL
Yue Zhao, Philip Petersen, Sophie Stuart +9 more · 2025 · Archives of pathology & laboratory medicine · added 2026-04-24
The co-occurrence of plasma cell neoplasm (PCN) and lymphoplasmacytic lymphoma (LPL) is rare, and their clonal relationship remains unclear. To evaluate the clinicopathologic characteristics of concom Show more
The co-occurrence of plasma cell neoplasm (PCN) and lymphoplasmacytic lymphoma (LPL) is rare, and their clonal relationship remains unclear. To evaluate the clinicopathologic characteristics of concomitant LPL/PCN. Retrospectively analyzed clinical and laboratory data of 14 cases. Three patients initially presented with immunoglobulin (Ig) M paraprotein, 1 with IgG paraprotein, and 10 had simultaneous diagnoses of PCN and LPL. In 13 cases, flow cytometry detected both LPL and PCN in marrow biopsies. Furthermore, immunohistochemistry highlighted the 2 neoplastic populations, demonstrating an increased proportion of plasma cells and their expression of cyclin D1, CD56, and/or a non-IgM isotype restriction. All cases exhibited discordant heavy-chain isotypes between LPL and PCN. Thirteen of the 14 cases (92.9%) had concordant light-chain restrictions between the 2 neoplasms, and the remaining case (7.1%) showed discordant light-chain restrictions. Of the 12 patients with follow-up, 5 were treated with myeloma regimens, 2 with LPL regimens, 3 with combined therapy, and 2 with observation alone. Follow-up ranged from 2 to 146 months (median, 12.5 months). One patient died of PCN progression, one died of comorbidity, and 10 patients were alive with or without disease. Survival analysis showed no significant difference from the control. The discordant heavy-chain isotype restrictions between PCN and LPL suggest biclonal B-cell neoplasms, which is supported by PCN's phenotypic distinction, such as the expression of cyclin D1 and/or CD56. However, our series exhibited a tendency toward concordant light-chain restrictions between the 2 neoplasms, raising the possibility that PCN may evolve from LPL through class switching. Show less
no PDF DOI: 10.5858/arpa.2024-0270-OA
LPL
Meimei Zhang, Haixin Bai, Ruixue Wang +5 more · 2025 · Journal of animal science and biotechnology · BioMed Central · added 2026-04-24
The objective of this study was to evaluate the effects of dietary fatty acids (FA) saturation and lysophospholipids supplementation on growth, meat quality, oxidative stability, FA profiles, and lipi Show more
The objective of this study was to evaluate the effects of dietary fatty acids (FA) saturation and lysophospholipids supplementation on growth, meat quality, oxidative stability, FA profiles, and lipid metabolism of finishing beef bulls. Thirty-two Angus bulls (initial body weight: 623 ± 22.6 kg; 21 ± 0.5 months of age) were used. The experiment was a completely randomized block design with a 2 × 2 factorial arrangement of treatments: 2 diets with FA of different degree of unsaturation [high saturated FA diet (HSFA) vs. high unsaturated FA diet (HUFA)] combined with (0.075%, dry matter basis) and without lysophospholipids supplementation. The bulls were fed a high-concentrate diet (forage to concentrate, 15:85) for 104 d including a 14-d adaptation period and a 90-d data and sample collection period. No interactions were observed between dietary FA and lysophospholipids supplementation for growth and meat quality parameters. A greater dietary ratio of unsaturated FA (UFA) to saturated FA (SFA) from 1:2 to 1:1 led to lower DM intake and backfat thickness, but did not affect growth performance and other carcass traits. Compared with HSFA, bulls fed HUFA had greater shear force in Longissimus thoracis (LT) muscle, but had lower intramuscular fat (IMF) content and SOD content in LT muscle. Compared with HUFA, feeding the HSFA diet up-regulated expression of ACC, FAS, PPARγ, and SCD1, but down-regulated expression of CPT1B. Compared with feeding HSFA, the HUFA diet led to greater concentrations of c9-C18:1 and other monounsaturated FA in LT muscle. Feeding HUFA also led to lower plasma concentrations of cholesterol, but there were no interactions between FA and lysophospholipids detected. Feeding lysophospholipids improved growth and feed conversion ratio and altered meat quality by increasing muscle pH Results indicated that supplementing a high-concentrate diet with lysophospholipids to beef bulls can enhance growth rate, feed efficiency, meat quality, and beneficial FA. Increasing the dietary ratio of UFA to SFA reduced DM intake and backfat thickness without compromising growth, suggesting potential improvements in feed efficiency. Show less
📄 PDF DOI: 10.1186/s40104-024-01138-w
LPL
Siqi Chen, Ziliang Hu, Mingyue Zhao +4 more · 2025 · Journal of proteomics · Elsevier · added 2026-04-24
Inflammation is a complex factor in the pathogenesis of intracranial aneurysms (IA), but its specific cellular inflammatory factors remain uncertain. We collected two cohorts and measured the represen Show more
Inflammation is a complex factor in the pathogenesis of intracranial aneurysms (IA), but its specific cellular inflammatory factors remain uncertain. We collected two cohorts and measured the representation of vascular inflammation-related proteins using the Olink CVD II Vascular Inflammation Panel. We subsequently validated our findings using ELISA and RT-qPCR. Our proteomic analysis identified 11 vascular inflammation-related markers that were significantly differentially represented between the IA and control groups. These markers were implicated in leukocyte migration, immune response, triglyceride and lipoprotein metabolism, acute phase response, T cell regulation, and several key biological pathways, including PPAR, HIF-1, cytokine-cytokine interactions, and PI3K-AKT signaling. Further validation with ELISA and RT-qPCR confirmed the differential representation of IL6, PTX3, LPL, and OLR1 between the two groups. Notably, a combination marker incorporating these four factors demonstrated high diagnostic potential for the early detection of IA. Our study has identified a set of informative biomarkers (IL6, PTX3, LPL, and OLR1) that could be valuable for the early diagnosis of IA. Importantly, this is the first report of significantly elevated OLR1 representation in the plasma of IA patients. Further investigation into the role of OLR1 in the pathogenesis of IA is warranted. SIGNIFICANCE: This study significantly advances our understanding of the molecular mechanisms underlying intracranial aneurysm (IA) pathogenesis. By identifying a panel of novel biomarkers, including the previously unreported elevated expression of OLR1 in IA patients, we provide crucial insights into the inflammatory processes involved in aneurysm formation and development. These findings have important clinical implications, as the identified biomarkers could serve as valuable tools for early diagnosis and potentially targeted therapeutic interventions. Furthermore, the study highlights the complex interplay of inflammatory pathways in IA, suggesting that a multi-faceted approach may be necessary for effective management. Show less
no PDF DOI: 10.1016/j.jprot.2025.105374
LPL
Pan Zhang, Xiaohui Zhao, Zhenwei Jia +10 more · 2025 · Advanced materials (Deerfield Beach, Fla.) · Wiley · added 2026-04-24
With the development of optical anti-counterfeiting and the increasing demand for high-level information encryption, multimodal luminescence (MML) materials attract much attention. However, the discov Show more
With the development of optical anti-counterfeiting and the increasing demand for high-level information encryption, multimodal luminescence (MML) materials attract much attention. However, the discovery of these multifunctional materials is very accidental, and the versatile host suitable for developing such materials remains unclear. Here, a grossite-type fast ionic conductor CaGa Show less
no PDF DOI: 10.1002/adma.202411532
LPL
Changlong Zhang, Yuxuan Li, Yang Wang +6 more · 2025 · Journal of advanced research · Elsevier · added 2026-04-24
Polycystic ovary syndrome (PCOS) is frequently accompanied with metabolic dysfunctions, yet the causal relationships between metabolic factors and PCOS remain to be conclusively established and etiolo Show more
Polycystic ovary syndrome (PCOS) is frequently accompanied with metabolic dysfunctions, yet the causal relationships between metabolic factors and PCOS remain to be conclusively established and etiology-based therapies are lacking. To comprehensively identify the metabolic causal factors and potential drug targets for PCOS. This genetic association study was conducted using bidirectional two-sample Mendelian Randomization (MR), multivariable MR (MVMR) and drug-target MR. Considering metabolic sexual dimorphism, female-specific genome-wide association studies (GWASs) for metabolic factors were obtained. To ensure the robustness of the findings, an additional independent PCOS GWAS dataset was utilized for replication. The PCOS cohort included 10,074 PCOS cases (mean age 28 to 45 years) and 103,164 controls (mean age 27 to 60 years) of European ancestry. All participants were female. Employing two-sample MR analysis, we found that genetically proxied body mass index (BMI) (OR = 3.40 [95 % CI, 2.65-4.36]), triglyceride (TG) (OR = 1.54 [95 % CI, 1.17-2.04]), low-density lipoprotein cholesterol (LDL-c) (OR = 1.37 [95 % CI, 1.07-1.76]), and type 2 diabetes (T2D) (OR = 1.24 [95 % CI, 1.09-1.41]) were significantly associated with an increased risk of PCOS, whereas genetically predicted high-density lipoprotein cholesterol (HDL-c) (OR = 0.61 [95 % CI, 0.47-0.80]) decreased the odds of PCOS. Stepwise MVMR established a hierarchy of interactions among these metabolic factors, identifying BMI and HDL-c as the most prominent causal factors. Notably, drug-target MR analysis identified incretin-based therapeutics, PCSK9 inhibitors, LPL gene therapy, sulfonylureas, and thiazolidinediones as potential therapeutics for PCOS. All these findings were validated in an independent dataset. This study offered insights into the roles of obesity, diabetes, and dyslipidemia in PCOS etiology and therapeutics, underscoring the necessity for managing metabolic health in women and paving the way for tailored therapeutic strategies for PCOS based on its metabolic underpinnings. Show less
📄 PDF DOI: 10.1016/j.jare.2024.10.038
LPL
Julia Krushkal, Travis L Jensen, George Wright +1 more · 2025 · Clinical epigenetics · BioMed Central · added 2026-04-24
Imprinted genes are epigenetically regulated in normal tissues to follow monoallelic expression according to the parent of origin of each allele. Some of these patterns are dysregulated in cancer. We Show more
Imprinted genes are epigenetically regulated in normal tissues to follow monoallelic expression according to the parent of origin of each allele. Some of these patterns are dysregulated in cancer. We developed a novel computational multi-omic pipeline to evaluate monoallelic and biallelic expression patterns based on matched RNA-seq expression data, whole-exome sequencing information, and copy number data. We analyzed allelic expression of the entire genes, individual isoforms, and each exon of 59,283 autosomal protein-coding and ncRNA genes, with a focus on 94 genes previously reported to be imprinted. We analyzed 108 cell lines from 9 different tumor histologies using molecular data from the DepMap Portal for the Cancer Cell Line Encyclopedia. Allelic expression patterns of imprinted genes and isoforms in tumor cells were variable. We also identified additional genes and isoforms with predominantly monoallelic expression due to a variety of potential mechanisms. We provide a novel public dataset of transcriptome-wide allelic expression patterns in cell lines from diverse tumor categories, which can serve as a resource for future cancer studies. We examined associations of in vitro cell line response to antitumor agents and repurposed drugs with allelic patterns and overall levels of isoform expression of imprinted genes and of additional genes with predominantly monoallelic expression. Drug response was associated with isoform expression patterns of multiple imprinted genes including CPA4, DGCR6, DNMT1, GNAS, GRB10, H19, NAA60, OSBPL5, PHACTR2, and ZFAT, predominantly monoallelically expressed MAP2K5 and BCLAF1, and additional predominantly monoallelically expressed genes. Multiple associations may be related to mechanisms of drug activity, including associations between the response to the DNA damaging agents and allelic expression of ZFAT, CDC27, and BCLAF1 isoforms, and the response to inhibitors of multiple signaling pathways with expression patterns of GNAS isoforms. Tumor cells have a range of monoallelic and biallelic expression patterns in both imprinted and non-imprinted genes and are likely affected by the complex interplay among changes in allelic expression, sequence variants, copy number changes, and expression changes of biologically important genes. Multiple isoform-specific patterns of allelic expression were associated with drug response, indicating complex mechanisms of cancer chemoresistance. Show less
📄 PDF DOI: 10.1186/s13148-025-01883-3
MAP2K5
Ting Li, Ping Wu, Man Chen +3 more · 2025 · Cytometry. Part B, Clinical cytometry · Wiley · added 2026-04-24
no PDF DOI: 10.1002/cyto.b.22243
MLLT10
J Xia, X H Hu, Y Zhao +4 more · 2025 · Zhonghua nei ke za zhi · added 2026-04-24
A retrospective analysis of clinical data of 8 patients with PICALM::MLLT10 (P/M) fusion gene-positive acute myeloid leukemia (AML) diagnosed by transcriptome sequencing (RNA-seq) at the First Affilia Show more
A retrospective analysis of clinical data of 8 patients with PICALM::MLLT10 (P/M) fusion gene-positive acute myeloid leukemia (AML) diagnosed by transcriptome sequencing (RNA-seq) at the First Affiliated Hospital of Soochow University from June 2017 to March 2023 was performed. Laboratory findings and treatment status were analyzed, and survival analysis was performed using the Kaplan-Meier method. The 8 patients included 5 males and 3 females, aged 16-35 years, with a median age of 27 years. The platelet count of patients was normal, and 3 patients had mild to moderate anemia. Extramedullary infiltration was present in all patients with clinical manifestations, including 5 patients with mediastinal masses, 2 patients with hepatosplenomegaly, 1 patient with central nervous system leukemia, and 1 patient with cervical lymph node enlargement. Karyotypical analysis revealed 7 patients with an abnormal karyotype, including 6 cases of complex karyotypes. Of these, 4 patients harbored the t(10;11) translocation. The complete remission rate of induction chemotherapy in the patients was 7/8, and 2 patients experienced early recurrence. All patients subsequently underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), The follow-up period ranged from 86 to 812 days, with a median of 330 days. Among the 8 patients, 3 survived and 5 died due to recurrence. Relapse and death only occurred in the P/M fusion gene-positive patients after transplantation. The overall survival rate at 1 year after transplantation was 37.5%. P/M Show less
no PDF DOI: 10.3760/cma.j.cn112138-20240913-00577
MLLT10
Rong Song, Kai Li, Hongxia He +7 more · 2025 · Life sciences · Elsevier · added 2026-04-24
To determine whether insulin controls hepatic de novo lipogenesis (DNL) through an HCF-1-dependent modulation of ChREBP that is distinct from the canonical SREBP1c pathway. AML-12 mouse hepatocytes we Show more
To determine whether insulin controls hepatic de novo lipogenesis (DNL) through an HCF-1-dependent modulation of ChREBP that is distinct from the canonical SREBP1c pathway. AML-12 mouse hepatocytes were subjected to 10 μg/mL insulin and 25 mM glucose for 6 h. IRβ or HCF-1 was knocked down with lentiviral shRNA (≈80 % efficiency). Lipid droplets were quantified by Nile-Red staining; mRNA and protein levels were measured by RT-qPCR, Western blot, immunofluorescence and RNA-seq. Co-immunoprecipitation was used to test complex formation. Insulin reduced lipid accumulation and suppressed ChREBP protein and its nuclear localization in AML-12 hepatocytes without altering SREBP1c. Knock-down of IRβ or HCF-1 abolished insulin-mediated ChREBP suppression, increased lipid droplets and up-regulated lipogenic genes. HCF-1 co-immunoprecipitated with IRβ, indicating formation of an insulin-responsive IRβ/HCF-1 complex that restrains ChREBP-driven lipogenesis. We identify an IRβ/HCF-1/ChREBP regulatory node in hepatocytes that can repress lipogenic genes independently of SREBP1c. The axis constitutes a testable target for understanding selective insulin action on hepatic lipid metabolism and for future in-vivo studies of fatty-liver disease. Show less
no PDF DOI: 10.1016/j.lfs.2025.124046
MLXIPL
Jianhong Zhao, Baoxiang Chen, Yanrong Deng +12 more · 2025 · Cancer research · added 2026-04-24
Tumor metabolic reprogramming has been recognized as a critical determinant in tumor development and cancer immunotherapy response. Aberrant choline metabolism is emerging as a defining hallmark of ca Show more
Tumor metabolic reprogramming has been recognized as a critical determinant in tumor development and cancer immunotherapy response. Aberrant choline metabolism is emerging as a defining hallmark of cancer. In this study, we found that carbohydrate-responsive element-binding protein (ChREBP)-mediated choline deprivation induced tumor-associated macrophage (TAM) reprogramming and maintained an immunosuppressive tumor microenvironment. Mechanistically, ChREBP interacted with SP1 to increase the expression of immunosuppressive chemokines CCL2 and CCL7 and choline transporter SLC44A1. As such, high CCL2 and CCL7 expression promoted recruitment of TAMs. Tumor cells with high SLC44A1 levels competed with M1-like TAMs for choline, inhibiting cGAS/STING signaling and promoting the repolarization of M1-like to M2-like macrophages. Clinically, ChREBP-SP1-choline metabolism axis expression was associated with poor clinical outcome in colorectal cancer. Thus, the study identified the interplay between tumors and TAMs via choline competition as a previously unknown immune evasion mechanism in the tumor microenvironment and proposes ChREBP as a potential immunotherapeutic target in cancer. ChREBP induces a choline-deprived tumor microenvironment and promotes chemokine secretion to facilitate immune evasion, suggesting targeting ChREBP as a therapeutic approach to improve the efficacy of immunotherapy. Show less
no PDF DOI: 10.1158/0008-5472.CAN-25-0235
MLXIPL
Jian Zhang, Yuee Zhao, Gauthami Pulivendala +8 more · 2025 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Sustained activation of hepatic stellate cells (HSCs) drives liver fibrosis in response to chronic liver injury and inflammation. It is reported that profibrogenic signals released from stressed/injur Show more
Sustained activation of hepatic stellate cells (HSCs) drives liver fibrosis in response to chronic liver injury and inflammation. It is reported that profibrogenic signals released from stressed/injured hepatocytes evoke fibrogenic responses in HSCs. However, intrahepatocyte players that modulate such cell-to-cell communications remain poorly defined. In this study, hepatic ChREBPα is found to be reduced in mouse models of chemical-induced liver fibrosis as well as in three groups of human patients with liver fibrosis. Chrebpα-LKO mice are highly sensitive to both chemical (CCL4 and TAA) and bile duct ligation (BDL)-induced liver injury and developed more advanced liver fibrosis without affecting liver lipid content. Hepatocyte ChREBPα overexpression suppressed the activation of HSCs in an in vitro medium transfer experiment in part via inhibiting the expression of profibrogenic factors THBS1 and CTGF. RNA-Seq analysis revealed that E2F1, a novel effector of TGFβ-mediated fibrogenic pathway, is highly induced in the liver of Chrebpα-LKO mice. Hepatic knockdown of E2F1 ameliorated the increased liver fibrosis in mice with hepatic Chrebpα deficiency while reducing the expression of hepatic THBS1 and CTGF. Show less
📄 PDF DOI: 10.1002/advs.202415032
MLXIPL
Maggie Chang, Michelle Zhao, Emily M Whang +3 more · 2025 · The Journal of biological chemistry · Elsevier · added 2026-04-24
Glucocorticoids are potent anti-inflammatory agents that are frequently used to treat inflammatory and autoimmune diseases. Chronic glucocorticoid treatment, however, causes unwanted adverse effects s Show more
Glucocorticoids are potent anti-inflammatory agents that are frequently used to treat inflammatory and autoimmune diseases. Chronic glucocorticoid treatment, however, causes unwanted adverse effects such as hypertriglyceridemia and hepatic steatosis. Here we showed that reducing the expression of sphingosine-1-phosphate receptor 2 (S1PR2) in mice liver reduced chronic glucocorticoid exposure induced triglyceride accumulation in the liver and the plasma. Chronic glucocorticoid treatment increased the recruitment of sterol regulatory element-binding protein 1c (Srebp1c) to the sterol regulatory element of mouse fatty acid synthase (Fasn) gene. This response was attenuated in hepatic S1PR2 knockdown mice. Chronic glucocorticoid treatment also increased the recruitment of carbohydrate response element binding protein (ChREBP) to the carbohydrate response elements (ChoREs) of lipogenic and glycolytic genes. This response was partially reduced in hepatic S1PR2 knockdown mice. Reducing hepatic ChREBP expression reduced the expression of Pklr, Me1, and Fasn. However, long-term glucocorticoid induced triglyceride accumulation in the liver and the plasma were not affected whereas the hepatic lactate levels were decreased. Thus, ChREBP plays a major role in chronic glucocorticoid induced glycolysis whereas its role in hypertriglyceridemia and hepatic steatosis was modest. Overall, this study demonstrated that hepatic S1PR2 signaling plays a partial but significant role in chronic glucocorticoid exposure-activated Srebp1c and ChREBP which promote lipogenesis and glycolysis, respectively. Show less
📄 PDF DOI: 10.1016/j.jbc.2025.110353
MLXIPL
Chen-Ma Wang, Qiu-Fang Bai, Ya-Jin Liu +9 more · 2025 · American journal of physiology. Cell physiology · added 2026-04-24
The deficiency of fructose-1,6-bisphosphatase 1 (FBP1), a key enzyme of gluconeogenesis, causes fatty liver. However, its underlying mechanism and physiological significance are not fully understood. Show more
The deficiency of fructose-1,6-bisphosphatase 1 (FBP1), a key enzyme of gluconeogenesis, causes fatty liver. However, its underlying mechanism and physiological significance are not fully understood. Here we demonstrate that carbohydrate response element-binding protein (ChREBP) mediates lipid metabolic remodeling and promotes progressive triglyceride accumulation against metabolic injury in adult FBP1-deficient liver. Inducible liver-specific deletion of Fbp1 gene caused progressive hepatomegaly and hepatic steatosis, with a marked increase in hepatic de novo lipogenesis (DNL) as well as a decrease in plasma β-hydroxybutyrate levels. Notably, FBP1 deficiency resulted in a persistent activation of ChREBP and its target genes involved in glycolysis, lipogenesis, and fatty acid oxidation, even under fasting conditions. Furthermore, liver-specific ChREBP disruption could markedly restore the phenotypes of enhanced DNL and triglyceride accumulation in FBP1-deficient liver but exacerbated its hepatomegaly and liver injury, which was associated with remarkable energy deficit, impaired mammalian target of rapamycin (mTOR) activation, and increased oxidative stress. Furthermore, metabolomics analysis revealed a robust elevation of phosphoenolpyruvate, phosphoglycerates, phospholipids, and ceramides caused by ChREBP deletion in FBP1-deficient liver. Put together, these results suggest that overactivation of ChREBP pathway mediates liver metabolic remodeling in the absence of FBP1, which contributes to the pathogenesis of progressive hepatic steatosis and provides a protection against liver injury. Thus, our findings point to a beneficial role of ChREBP in metabolic remodeling in the context of excessive gluconeogenic intermediates. Show less
no PDF DOI: 10.1152/ajpcell.00875.2024
MLXIPL
Bo Wang, Jia Zhao, Yanmin Zhang +14 more · 2025 · Cardiology · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is a common inherited heart condition. Traditional genetic testing is typically conducted on the proband only, with family members undergoing Sanger sequencing, which Show more
Hypertrophic cardiomyopathy (HCM) is a common inherited heart condition. Traditional genetic testing is typically conducted on the proband only, with family members undergoing Sanger sequencing, which may overlook other pathogenic variants. This study explores the gene sequencing strategy in a three-generation family based on genetic carrier status and examines the relationship between phenotypic characteristics and genotype. High-throughput second-generation sequencing was performed on the proband to analyze HCM-related pathogenic genes. Subsequently, the identified pathogenic variants were validated by Sanger sequencing in the proband and family members. Clinical, electrocardiographic, and echocardiographic assessments were conducted for family members. Second-generation sequencing of the proband (III7) revealed a pathogenic variant MYBPC3-P453Lfs. Initially, no HCM-related pathogenic variants were detected in another patient (III11), prompting additional sequencing of III11, which identified the MYH7-G823E pathogenic variant. Both patients had severe left ventricular outflow tract obstruction. Sanger sequencing showed that five family members carried both mutations. Among them, three died suddenly before age 40, one required an implantable cardioverter defibrillator for arrhythmias, and one developed HCM before adulthood. Cardiac magnetic resonance imaging (MRI) of patients carrying both mutations showed myocardial fibrosis of 32.75%, significantly higher than the 6.98% observed in patients carrying only one mutation. In families with varying HCM phenotypes, second-generation sequencing should be considered for all members. In this family, carrying one variant led to outflow tract obstruction, while carrying both variants resulted in severe disease, including sudden death and early onset. Cardiac MRI is crucial for assessing the severity of the disease within the family. Show less
no PDF DOI: 10.1159/000548235
MYBPC3
Weilai Dong, Sheng Chih Jin, Michael C Sierant +36 more · 2025 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
Variants with large effect contribute to congenital heart disease (CHD). To date, recessive genotypes (RGs) have commonly been implicated through anecdotal ascertainment of consanguineous families and Show more
Variants with large effect contribute to congenital heart disease (CHD). To date, recessive genotypes (RGs) have commonly been implicated through anecdotal ascertainment of consanguineous families and candidate gene-based analysis; the recessive contribution to the broad range of CHD phenotypes has been limited. We analyzed whole exome sequences of 5,424 CHD probands. Rare damaging RGs were estimated to contribute to at least 2.2% of CHD, with greater enrichment among laterality phenotypes (5.4%) versus other subsets (1.4%). Among 108 curated human recessive CHD genes, there were 66 RGs, with 54 in 11 genes with >1 RG, 12 genes with 1 RG, and 85 genes with zero. RGs were more prevalent among offspring of consanguineous union (4.7%, 32/675) than among nonconsanguineous probands (0.7%, 34/4749). Founder variants in Show less
📄 PDF DOI: 10.1073/pnas.2419992122
MYBPC3
X R Chen, S J Yang, S H Zhao · 2025 · Zhonghua xin xue guan bing za zhi · added 2026-04-24
no PDF DOI: 10.3760/cma.j.cn112148-20240511-00255
MYBPC3
Fang Zhao, Guiying Chen, Jianfeng Pan +4 more · 2025 · Frontiers in oncology · Frontiers · added 2026-04-24
Lung squamous cell carcinoma (LUSC) is a highly aggressive malignancy with limited targeted therapies and poor clinical outcomes. Ferroptosis, an iron-dependent form of regulated cell death, plays a c Show more
Lung squamous cell carcinoma (LUSC) is a highly aggressive malignancy with limited targeted therapies and poor clinical outcomes. Ferroptosis, an iron-dependent form of regulated cell death, plays a crucial role in tumor progression, metabolic reprogramming, and immune modulation. Increasing evidence suggests that dysregulation of ferroptosis contributes to therapeutic resistance and immune escape in various cancers. MYO19, a mitochondrial trafficking protein, has recently been implicated in oxidative stress and metabolic control, but its role in ferroptosis and tumor immunity remains unclear. Meanwhile, microRNAs (miRNAs) are recognized as key post-transcriptional regulators in cancer biology. Among them, hsa-miR-520a-3p has been reported to exhibit tumor-suppressive functions in several malignancies. However, the interplay between hsa-miR-520a-3p and MYO19, and their potential involvement in ferroptosis regulation and immune modulation in LUSC, has not been systematically investigated. Data were collected from TCGA, UCSC XENA, ENCORI, HPA, and UALCAN public database. Differential expression, prognostic, correlation analyses and miRNA analyses were performed using bioinformatics tools including TIMER, TISIDB, Kaplan-Meier Plotter, and ENCORI. Ferroptosis-related analysis utilized Ze-Xian Liu's dataset. Functional assays, including CCK-8 viability, Transwell migration, and MDA/GSH measurements, were performed in NCI-H226 and NCI-H2170 cells after transfection with miR-520a-3p mimics/inhibitors or MYO19 knockdown/overexpression constructs. Ferroptosis sensitivity was further tested under RSL3 treatment, and ferroptosis protein markers as well as rescue experiments were analyzed by Western blotting. The result revealed that MYO19 was significantly upregulated in multiple tumor types and correlated with unfavorable prognosis. Especially in LUSC, elevated MYO19 expression was associated with advanced stage, reduced immune infiltration, and enrichment of ferroptosis-resistant transcriptional programs, whereas hsa-miR-520a-3p showed opposite patterns. Overexpression of hsa-miR-520a-3p in NCI-H226 and NCI-H2170 cells increased lipid peroxidation (MDA increased), reduced intracellular GSH, and enhanced RSL3-induced cytotoxicity, indicative of ferroptosis activation. Conversely, MYO19 knockdown elevated ACSL4 and reduced SLC7A11, changes that were partially reversed by MYO19 re-expression. These findings suggest that the hsa-miR-520a-3p/MYO19 axis is associated with ferroptosis susceptibility and may influence the immunosuppressive tumor microenvironment. Show less
no PDF DOI: 10.3389/fonc.2025.1727301
MYO19
Yifan Lu, Yu Sun, Fatma Saaoud +10 more · 2025 · Redox biology · Elsevier · added 2026-04-24
Hyperlipidemia and chronic kidney disease (CKD) are well-established risk factors for cardiovascular disease and act synergistically to promote vascular inflammation and disease progression. However, Show more
Hyperlipidemia and chronic kidney disease (CKD) are well-established risk factors for cardiovascular disease and act synergistically to promote vascular inflammation and disease progression. However, the mechanisms underlying this synergetic effect remain largely unknown. Using a mouse model combining hyperlipidemia (via high-fat diet feeding, HFD) with 5/6 nephrectomy-induced CKD, we made the following significant findings: 1) HFD + CKD upregulated 1179 genes in mouse aortas and induced prominent reactive oxygen species (ROS), far more than either HFD or CKD alone. 2) HFD + CKD upregulated 86 CRISPRi-identified mitochondrial ROS regulators, 36 CRISPRi-identified cellular ROS regulators, and 19 GSEA-collected ROS regulators. These changes were associated with the upregulations of 48 cytokines, 7 highest toxicity uremic toxin receptors-including CD1D, FCGRT, AHR, IL6RA AGER, NR1H3 and NPY5R-in aortas. 3) These uremic toxin receptors emerged as novel promoters of inflammation and trained immunity. Deficiencies in CD1D, AHR, AGER, and the trained immunity promoter SET7 each downregulated up to 5.5 % of the genes upregulated by HFD + CKD. Conversely, activation of NR1H3 using an agonist upregulated up to 12.2 % of these genes. 4) The expression of 46 cytokine genes was strongly associated with NR1H3 upregulation. 5) The NR1H3 agonist also induced the expression of 28 ROS regulators, including YBX2, a novel anti-ROS transcription factor and RNA-binding protein, suggesting a potential negative feedback mechanism. YBX2 deficiency increased the cellular ROS level, while YBX2 overexpression suppressed 27 proinflammatory genes induced by HFD + CKD. Our findings provide novel insights into the role of the NR1H3-YBX2 axis in regulating inflammation accelerated by hyperlipidemia and CKD. Show less
no PDF DOI: 10.1016/j.redox.2025.103724
NR1H3
Xiaowei Wang, Kenan Peng, Yudi Zhao +11 more · 2025 · The Journal of biological chemistry · Elsevier · added 2026-04-24
Cholesterol-loaded macrophage foam cells are a key feature of atherosclerotic plaques. Oxysterol-binding protein-related protein 2 (ORP2) facilitates the transport of cholesterol from lysosomes to the Show more
Cholesterol-loaded macrophage foam cells are a key feature of atherosclerotic plaques. Oxysterol-binding protein-related protein 2 (ORP2) facilitates the transport of cholesterol from lysosomes to the plasma membrane in cultured cell lines. However, the role of ORP2 in macrophages and its involvement in atherosclerosis remain unclear. In this study, we found ORP2 expression was reduced in atherosclerotic vessels and in macrophages exposed to oxidized LDL (ox-LDL). Myeloid-specific human ORP2 overexpression (hORP2 Show less
no PDF DOI: 10.1016/j.jbc.2025.110228
NR1H3
Dong Yan, Yuanwei Fu, Jie Mei +5 more · 2025 · Basic & clinical pharmacology & toxicology · Blackwell Publishing · added 2026-04-24
Phosgene, used in large-scale industrial production, is highly toxic and irritant. Accidental exposure can lead to varying degrees of injuries, with severe cases potentially resulting in acute lung in Show more
Phosgene, used in large-scale industrial production, is highly toxic and irritant. Accidental exposure can lead to varying degrees of injuries, with severe cases potentially resulting in acute lung injury or acute respiratory distress syndrome, resulting in a mortality rate of 40%-50%. The indirect damages of phosgene (inflammation and oxidative stress) are considered important factors in phosgene-induced acute lung injury (P-ALI). The expression of Liver X Receptor α (LXRα) significantly reduces during periods of inflammation. LXRs were initially discovered to be highly expressed in the liver, whereas LXRs are expressed in immune cells and vascular endothelial cells, playing a significant role in anti-inflammatory and antioxidant responses. LXRα may have pulmonary protection in P-ALI. However, evidence to verify this association is still lacking. In this study, rats were divided into six groups to explore the potential role of LXRα in P-ALI. This study found that GW3965 effectively activated LXRα, upregulated its expression and downregulated the levels of proinflammatory cytokines, inhibited malondialdehyde activity while enhancing superoxide dismutase activity, suppressed apoptosis and ameliorated the pathological processes of P-ALI, ultimately exerting pulmonary protection in P-ALI. Further validation revealed that the pulmonary protective effect of LXRα may be associated with the PI3K/Akt and NF-kB signalling pathways. Show less
no PDF DOI: 10.1111/bcpt.70045
NR1H3
Wenqi Liao, You Li, Haoyan Zhao +1 more · 2025 · Histology and histopathology · added 2026-04-24
To observe the effect of the Lian-Dou-Qing-Mai (LDQM) formula on lipid metabolism in mice and explore its mechanism from the perspective of regulating the PPARγ/LXRα/ABCA1 signaling pathway. THP-1 cel Show more
To observe the effect of the Lian-Dou-Qing-Mai (LDQM) formula on lipid metabolism in mice and explore its mechanism from the perspective of regulating the PPARγ/LXRα/ABCA1 signaling pathway. THP-1 cells were induced to transform into foam cells with ox-LDL. Atherosclerosis (AS) models were constructed using a high-fat diet in ApoE In the cell model, LDQM could inhibit the formation of THP-1 macrophage-derived foam cells and the expression of inflammatory factors, promote macrophage cholesterol efflux, increase the expression of IL-10, and activate the PPARγ-LXRα-ABCA1/ABCG1 pathway. Additional IL-10 treatment further promotes LDQM-induced cholesterol efflux in THP-1 cells; LDQM may affect the PPARγ/LXRα/ABCA1 signaling pathway through IL-10, regulate lipid metabolism, reduce serum inflammatory expression and lipid deposition, and improve the formation of atheroplaques. Show less
no PDF DOI: 10.14670/HH-18-803
NR1H3
Tian-Hao Lan, Wei Li, Xin Wang +12 more · 2025 · iScience · Elsevier · added 2026-04-24
Colorectal cancer (CRC) is a prevalent digestive system malignancy accompanied by peritoneal metastasis occurring in 7% of cases. Methyltransferase-like 3 (METTL3) promoted the progression of CRC wher Show more
Colorectal cancer (CRC) is a prevalent digestive system malignancy accompanied by peritoneal metastasis occurring in 7% of cases. Methyltransferase-like 3 (METTL3) promoted the progression of CRC whereas its function in peritoneal metastasis was incompletely understood. Here, we found that METTL3 was upregulated in peritoneal metastasis tissues of CRC patients compared with CRC tissues. By sequencing the mRNA of above tissues, we discovered that METTL3-mediated N6-methyladenosine (m6A) modification regulated the downstream target Show less
no PDF DOI: 10.1016/j.isci.2025.113165
NRXN3
Deying Liu, Jiaxin Li, Chan Xu +7 more · 2025 · Human molecular genetics · Oxford University Press · added 2026-04-24
Mutations in four genes encoding the outer ring complex of nuclear pore complexes (NPCs), NUP85, NUP107, NUP133 and NUP160, cause monogenic steroid-resistant nephrotic syndrome (SRNS). Knockout of NUP Show more
Mutations in four genes encoding the outer ring complex of nuclear pore complexes (NPCs), NUP85, NUP107, NUP133 and NUP160, cause monogenic steroid-resistant nephrotic syndrome (SRNS). Knockout of NUP85, NUP107, or NUP133 in immortalized human podocytes activates CDC42, an important effector of SRNS pathogenesis. However, it is unknown whether or not loss of NUP160 dysregulates CDC42 in the podocytes. Here, we generated a podocyte-specific Nup160 knockout mouse model with double-fluorescent (mT/mG) Cre reporter genes using CRISPR/Cas9 and Cre/loxP technologies. We investigated nephrotic syndrome-associated phenotypes in the Nup160podo-/- mice, and performed single-cell transcriptomic and proteomic analysis of glomerular suspension cells and cultured primary podocytes, respectively. The Nup160podo-/- mice exhibited progressive proteinuria and fusion of podocyte foot processes. We found decreased Cdc42 protein and normal Cdc42 transcriptional level in the podocytes of the Nup160podo-/- mice using analysis of single-cell transcriptomes and proteomes. We subsequently observed that Cdc42 protein decreased in both kidney tissues and cultured primary podocytes of the Nup160podo-/- mice, although Cdc42 mRNA levels were elevated in the cultured primary podocytes of the Nup160podo-/- mice. We also found that Cdc42 activity was significantly reduced in the cultured primary podocytes of the Nup160podo-/- mice. In conclusion, loss of Nup160 dysregulated Cdc42 in the podocytes of the Nup160podo-/- mice with proteinuria and fusion of podocyte foot processes. Our findings suggest that the dysregulation of CDC42 may contribute to the pathogenesis of SRNS in patients with mutations in NUP160. Show less
no PDF DOI: 10.1093/hmg/ddaf064
NUP160
Chenchen Zhao, Yan Qin, Haixin Huang +6 more · 2025 · Veterinary sciences · MDPI · added 2026-04-24
Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel enteric coronavirus that causes severe clinical diarrhea and intestinal pathological injury in pigs. Selective autophagy is an important Show more
Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel enteric coronavirus that causes severe clinical diarrhea and intestinal pathological injury in pigs. Selective autophagy is an important mechanism of host defense against virus invasion. However, the mechanism through which SADS-CoV-mediated selective autophagy mediates the innate immune response remains unknown. Here, we report that the host protein PABPC4 can inhibit SADS-CoV replication through targeting and degrading its N protein. Furthermore, we demonstrate that PABPC4 recruits MARCHF8 (an E3 ubiquitin ligase), which ubiquitinates the N protein and is degraded via NDP52/CALCOCO2 (a selective autophagy cargo receptor). Taken together, these findings reveal a new mechanism by which PABPC4 inhibits virus replication, and reveal a new target for antiviral drug development. Show less
no PDF DOI: 10.3390/vetsci12030257
PABPC4
Jiangming Wei, Xiaobo Wei, Lexiu Deng +4 more · 2025 · Scientific reports · Nature · added 2026-04-24
Dysregulation of macrophage autophagy plays a critical role in sepsis-induced acute lung injury (ALI); however, its underlying mechanism remains unclear. In this study, we aimed to identify the regula Show more
Dysregulation of macrophage autophagy plays a critical role in sepsis-induced acute lung injury (ALI); however, its underlying mechanism remains unclear. In this study, we aimed to identify the regulatory pathway involving the PIK3C3-MAPK14 signaling axis that drives ALI progression by controlling autophagy and macrophage polarization. Using machine learning transcriptomic analysis, MAPK14 was identified as a core gene associated with ALI, and multi-omics integration confirmed its upregulated expression in ALI tissues. MAPK14 localization to pro-inflammatory macrophages was determined using single-cell sequencing. Furthermore, we observed a significant positive correlation between MAPK14 and autophagy-related genes. Molecular docking and kinetic simulations revealed high-affinity interactions between PIK3C3 and MAPK14 (ΔG-bind = -127.722 ± 33.269 kJ/mol). In vitro experiments followed by Western Blot(WB) and RT-q polymerase chain reaction (PCR) assays demonstrated that lipopolysaccharide stimulation upregulated MAPK14 expression through downregulation of PIK3C3 expression, resulting in impaired autophagic flux (LC3-II/Ⅰ↓, TOM20↑, P62↑, HSP60↑). Flow cytometry and enzyme-linked immunosorbent assay (ELISA) confirmed a shift toward pro-inflammatory (M1) macrophage polarization. RNA pull-down assay directly captured the PIK3C3-MAPK14 complex, and functional validation showed that PIK3C3 overexpression significantly inhibited MAPK14 protein expression, whereas PIK3C3 knockdown enhanced it. In conclusion, targeting the PIK3C3-MAPK14 axis is a promising therapeutic strategy for ALI. Show less
no PDF DOI: 10.1038/s41598-025-27088-5
PIK3C3
Yu-Hang Li, Yan Cheng, Bing-Qian Zhao +7 more · 2025 · Journal of virology · added 2026-04-24
Classical swine fever virus (CSFV) is a highly contagious and lethal pathogen that poses a major threat to the global swine industry. Despite its economic impact, no specific antiviral therapies are c Show more
Classical swine fever virus (CSFV) is a highly contagious and lethal pathogen that poses a major threat to the global swine industry. Despite its economic impact, no specific antiviral therapies are currently available, underscoring the urgent need to elucidate virus-host interactions for therapeutic innovation. In this study, we screened a glucose metabolism-targeted small-molecule library and identified Vps34-IN-1, a selective inhibitor of phosphatidylinositol 3-kinase class III (VPS34/PIK3C3), as a potent suppressor of CSFV replication in a dose-dependent manner. Time-of-addition experiments demonstrate that Vps34-IN-1 predominantly interferes with the late stage of the viral life cycle. Consistently, siRNA-mediated knockdown of VPS34 significantly impairs viral replication, confirming its role as a critical host dependency factor. Mechanistically, pharmacological inhibition or genetic silencing of VPS34 disrupts CSFV-induced autophagic flux. Notably, the CSFV non-structural protein p7 engages in a specific interaction with UVRAG, a pivotal constituent of the VPS34 complex II, and appears to potentiate VPS34-UVRAG complex assembly, thereby facilitating autophagosome-lysosome fusion. Collectively, these findings uncover an unappreciated role of VPS34 in sustaining CSFV replication and highlight its potential as a viable target for host-oriented antiviral intervention. CSFV remains a major pathogen of global concern, causing severe disease in swine and incurring substantial economic losses in the pig industry. The absence of effective antiviral agents underscores the pressing need for host-targeted therapeutic strategies. In this study, we identified Vps34-IN-1, a selective inhibitor of VPS34, as a potent suppressor of CSFV replication in a dose-dependent manner. Remarkably, Vps34-IN-1 also exhibits potent inhibitory activity against other economically important swine viruses, including BVDV, PRV, and PEDV, demonstrating its potential as a broad-spectrum antiviral agent. Knockdown experiments further validated VPS34 as an essential host factor required for CSFV propagation. Mechanistically, the viral p7 protein engages in a specific interaction with UVRAG, a pivotal constituent of the VPS34 complex II, thereby potentially augmenting VPS34-UVRAG complex assembly and facilitating autophagosome-lysosome fusion. These findings delineate VPS34 as a compelling host-oriented antiviral target and open new therapeutic avenues for the control of CSF and other economically significant swine viral diseases. Show less
no PDF DOI: 10.1128/jvi.01641-25
PIK3C3
Jiangming Wei, Fanghua Xu, Xiaobo Wei +2 more · 2025 · Gene · Elsevier · added 2026-04-24
Sepsis is a syndrome caused by an imbalance in the host's immune response to pathogen infection, which can lead to systemic multiple organ dysfunction. Its pathological mechanisms are complex, and the Show more
Sepsis is a syndrome caused by an imbalance in the host's immune response to pathogen infection, which can lead to systemic multiple organ dysfunction. Its pathological mechanisms are complex, and there are no specific biomarkers or targeted therapeutic drugs available. Recent investigations have revealed that phosphatidylinositol 3-kinase class III (PIK3C3/VPS34), a key regulator of autophagy, plays a critical immunomodulatory role. Specifically, PIK3C3 influences the activation, proliferation, survival, and apoptosis of immune cells. However, the precise mechanistic contribution of PIK3C3 to the pathogenesis of sepsis remains incompletely understood, with existing studies largely emphasizing its autophagy-related functions. Therefore, this review provides a comprehensive overview of PIK3C3 expression and function in immune cells, focusing on elucidating the molecular signaling pathways through which it modulates cellular metabolism and function via autophagy. By integrating our current understanding of immune cell involvement in the pathophysiology of sepsis, we propose that targeting PIK3C3 may represent a promising immunotherapeutic strategy to restore immune homeostasis and improve clinical outcomes in sepsis. This approach may offer novel avenues for the prevention and management of this life-threatening condition. Show less
no PDF DOI: 10.1016/j.gene.2025.149732
PIK3C3