👤 Shude Xu

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Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Yanyong Xu, Shengjie Xu, Nong Xu, D-J Xu, Hongfa Xu, Shiyi Xu, Yunjian Xu, Maochang Xu, Lingyan Xu, Guoheng Xu, Zaibin Xu, Yuexuan Xu, Jinhe Xu, Yitong Xu, Yaping Xu, Miao Xu, Hongming Xu, Jiang Xu, Feng-Qin Xu, Zaihua Xu, Yaru Xu, Yuanzhong Xu, Qiuyu Xu, Mingcong Xu, Mai Xu, Biao Xu, Jingjun Xu, Shuwan Xu, Ya-Ru Xu, Zhilong Xu, Jun-Chao Xu, Shutao Xu, TianBo Xu, Jinyu Xu, Jie-Hua Xu, Peng Xu, Guo-Xing Xu, Yushan Xu, Yongsong Xu, Xin-Rong Xu, Bilin Xu, Xiang-Min Xu, Xiaolong Xu, Jinchao Xu, Han Xu, Xuting Xu, Yu Xu, Yingqianxi Xu, Yanyang Xu, Aili Xu, Weizhi Xu, Peidi Xu, Tongyang Xu, Tieshan Xu, Wen-Juan Xu, Jianping Xu, Bing Xu, Chengyun Xu, Xiaofeng Xu, Zhengang Xu, Guang-Hong Xu, Fangui Xu, Shan-Shan Xu, Hailiang Xu, Song-Song Xu, Quanzhong Xu, Mengqi Xu, Gezhi Xu, Dawei Xu, Linyan Xu, Meishu Xu, Yidan Xu, Tonghong Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Hanyuan Xu, Liang Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Boming Xu, Jiancheng Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Di-Mei Xu, Xiang-liang Xu, Yana Xu, Richard H Xu, Yanchang Xu, Danyi Xu, Lingli Xu, Xiaocheng Xu, Chengqi Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Hongle Xu, Xuan Xu, Jielin Xu, Yuping Xu, Limin Xu, Yinli Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Weilan Xu, Jingjing Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Shang-Fu Xu, Jiachi Xu, Yuejuan Xu, Zhi-Qing David Xu, Chao Xu, Yi-Xian Xu, Longfei Xu, Ziwei Xu, Mengyue Xu, Jingying Xu, Wenhui Xu, Zi-Xiang Xu, Caixia Xu, Chenjie Xu, Xiaoting Xu, Jiacheng Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Qingqiu Xu, Gangchun Xu, Yanjun Xu, Zifan Xu, Wenxuan Xu, Qiong Xu, Jiayunzhu Xu, Yifeng Xu, DongZhu Xu, Lingna Xu, Qianzhu Xu, Bocheng Xu, Qingjia Xu, Yanni Xu, Li-Yan Xu, Benhong Xu, Fang Xu, Xingsheng Xu, Geyang Xu, Zeao Xu, Anqi Xu, Mengsi Xu, Jun Xu, Ning'an Xu, Qiuhong Xu, H F Xu, Lian-Wei Xu, Hua Xu, Danping Xu, Xiaofang Xu, Shanshan Xu, Sheng-Qian Xu, Bingxin Xu, Ke Xu, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Changwu Xu, Beibei Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Laizhi Xu, Xinyu Xu, Jinshu Xu, Meiyu Xu, Bi-Yun Xu, Mingliang Xu, Weixia Xu, Bingfang Xu, Suling Xu, W W Xu, Lidan Xu, Chengkai Xu, Feng Xu, Yunhe Xu, Zesheng Xu, Li Xu, Song Xu, Yungen Xu, Yaobo Xu, Qinli Xu, Yi-Liang Xu, Tan Xu, Dong Xu, Ruiling Xu, Wanqi Xu, Ziyang Xu, Xiaohong Ruby Xu, Guangyu Xu, Xiao-Shan Xu, Wenxin Xu, Yongsheng Xu, Jingya Xu, Zhong-Hua Xu, Jiajie Xu, Dan Xu, Youjia Xu, Longsheng Xu, Mengjie Xu, Guo-Tong Xu, Ting Xu, Chunwei Xu, Tianmin Xu, Xianghong Xu, Nenggui Xu, Meixi Xu, Hongxia Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Shengyu Xu, Kelin Xu, Xiaoqin Xu, Zheng Xu, Junchang Xu, Jiaying Xu, Zhen-Guo Xu, Beisi Xu, Chunyu Xu, Haonan Xu, Tianyi Xu, Haiman Xu, Lili Xu, Yi Xu, Qihang Xu, Dongju Xu, Zhongwei Xu, Zihua Xu, Qikui Xu, Li-Jun Xu, Zhijie Xu, Qi-Qi Xu, Hanchen Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, D Xu, Ziqi Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Jianjuan Xu, Bin Xu, Zhanyu Xu, Lingjuan Xu, Wenjie Xu, Cian Xu, Yu-Ming Xu, Qiulin Xu, Shuwen Xu, Zeyu Xu, Jia Xu, Zengliang Xu, Yujie Xu, Yuting Xu, Jing-Yi Xu, Jiajia Xu, Xiqi Xu, Leiyu Xu, Shi-Na Xu, Ruonan Xu, Wenhuan Xu, Bai-Hui Xu, Jishu Xu, Xiangyu Xu, Lu-Lu Xu, Shiyun Xu, Huaxiang Xu, Lei Xu, Yuli Xu, Chan Xu, Tengfei Xu, Yong Xu, Xuejun Xu, Hang Xu, Junjie Xu, Jinjie Xu, Haoda Xu, Rui-Ming Xu, Yunxi Xu, Jinghua Xu, Ye Xu, Jiyi Xu, Mei-Jun Xu, Jianyong Xu, Yingzheng Xu, Kaiyue Xu, Yeqiu Xu, Songli Xu, Chenqi Xu, Cheng-Jian Xu, Qiaoshi Xu, Rongrong Xu, YanFeng Xu, Jin Xu, Huimian Xu, Zaikun Xu, Aixiao Xu, Yanfei Xu, Chunlin Xu, Huiqiong Xu, Dapeng Xu, Fengxia Xu, Yongmei Xu, Yubin Xu, Xiaojing Xu, Xiaoli Xu, Pu Xu, Wenming Xu, Wenjing Xu, Wenjuan Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Jiean Xu, Ming Xu, Weili Xu, Keshu Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Wen-Hao Xu, Hong-wei Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Yuzhi Xu, Fenghuang Xu, Tengxiao Xu, Zelin Xu, Xueni Xu, Jing-Ying Xu, Yichi Xu, Ruifeng Xu, Kewei Xu, Jiapeng Xu, Fang-Fang Xu, Sifan Xu, Pengli Xu, Jiaqin Xu, Xiaotao Xu, Chunming Xu, X Xu, Xinyin Xu, Gang Xu, Wei Xu, Yuzhen Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Xiaoming Xu, Yimeng Xu, Yuanyuan Xu, Shihao Xu, Minxuan Xu, Zhipeng Xu, Haowen Xu, Dilin Xu, Rui Xu, Jingzhou Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Mengjun Xu, Hui Ming Xu, Junfei Xu, Yanzhe Xu, Xiaolei Xu, Qin Xu, Zichuan Xu, Xinyun Xu, Tianyu Xu, Xiaoge Xu, Yigang Xu, Lanjin Xu, Hongyan Xu, Guowang Xu, Jingjie Xu, Yangyang Xu, Yi-Huan Xu, Guanhua Xu, Hongrong Xu, Fen Xu, Jian Xu, Pin-Xian Xu, Tiantian Xu, Zhonghui Xu, Changfu Xu, Dong-Hui Xu, Yi-Ni Xu, Jialu Xu, Yuzhong Xu, Hongli Xu, Mingyuan Xu, Minghao Xu, C F Xu, Qinghua Xu, Yiting Xu, Qian Xu, Jiahong Xu, Xizheng Xu, Haixiang Xu, Kun Xu, Xiaoyang Xu, Yunfei Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Jinguo Xu, Guiyun Xu, Lingyi Xu, Wenbin Xu, Chunjie Xu, Cheng-Bin Xu, Manman Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Mengmeng Xu, Yu-Xin Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Shiliyang Xu, Waner Xu, Zhiyao Xu, Gu-Feng Xu, J T Xu, Wenyuan Xu, Haifeng Xu, Chaohua Xu, Ling Xu, Lisha Xu, Huaisha Xu, Xiayun Xu, Qian-Fei Xu, Jinying Xu, Tengyun Xu, Chaoguang Xu, Fuyi Xu, Shihui Xu, Yingna Xu, Aishi Xu, Yanyan Xu, Bilian Xu, Qiuhui Xu, Jinsheng Xu, Qinwen Xu, Tianfeng Xu, Liyi Xu, Lihui Xu, Guanyi Xu, Ru-xiang Xu, Wenyan Xu, Zongzhen Xu, Nan Xu, Jinxian Xu, Rui-Xia Xu, Zhiting Xu, Jiaming Xu, Shan-Rong Xu, Yi-Tong Xu, Xiaojuan Xu, Guifa Xu, Xia-Jing Xu, Libin Xu, Dequan Xu, Guoxu Xu, Hong Xu, Lubin Xu, Cai Xu, Mengying Xu, Tian-Le Xu, J Xu, Weidong Xu, Yibin Xu, Cong-jian Xu, Chengbi Xu, Qianlan Xu, Tingting Xu, Caiqiu Xu, Hong-Yan Xu, Hanqian Xu, Xiao Le Xu, Bei Xu, Jianxin Xu, Ming-Zhu Xu, Guanlan Xu, Long Xu, Xiaopeng Xu, Yinjie Xu, Shufen Xu, Zhihua Xu, Di Xu, Ming-Jiang Xu, Qingwen Xu, Jiake Xu, Tingxuan Xu, Ping Xu, Peng-Ju Xu, Shang-Rong Xu, Li-Zhi Xu, Baoping Xu, Huan Xu, Wenwu Xu, Zhenyu Xu, Chong Xu, Sihua Xu, Lu Xu, Anlong Xu, Chen-Yang Xu, Xiaoyu Xu, Zhe Xu, Qiuyue Xu, Guangquan Xu, Peiyu Xu, Huihui Xu, Ding Xu, Yuchen Xu, Jianguo Xu, Lingyang Xu, Xuegong Xu, Jia-Yue Xu, Liping Xu, Yiyi Xu, Yuling Xu, Jianqiu Xu, Lichi Xu, Xiaojiang Xu, Mao Xu, Zhaofa Xu, Xiao-Hui Xu, Yuyang Xu, Qingchan Xu, Yanli Xu, Julie Xu, Minglan Xu, G Xu, Yao Xu, Yali Xu, Miaomiao Xu, Yanqi Xu, Tian Xu, Xiaojin Xu, Xiaowen Xu, Lingxiang Xu, Qing-Yang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Fangmin Xu, Wenzhuo Xu, Xingshun Xu, Fu Xu, Haimin Xu, Jiahui Xu, Shengtao Xu, Zhiwei Xu, Peiwei Xu, Wen-Hui Xu, Daichao Xu, Xingyan Xu, H Eric Xu, Zhi-Feng Xu, Mingming Xu, Hongtao Xu, Keman Xu, Daiqi Xu, Yinying Xu, Yuexin Xu, Yuanwei Xu, Jinfeng Xu, Xuanqi Xu, L Xu, Chunyan Xu, Hanting Xu, Chaoyu Xu, Tiancheng Xu, Shendong Xu, Guangsen Xu, Chentong Xu, Yaozeng Xu, Banglao Xu, Danyan Xu, Tao Xu, Ren-He Xu, Haiyan Xu, Jian-Guang Xu, Yu-Fen Xu, Youzhi Xu, Hui Xu, Enwei Xu, F F Xu, Ningda Xu, Zejun Xu, Li-Wei Xu, N Y Xu, Xiaoya Xu, Ren Xu, Ze-Jun Xu, Yanan Xu, Jiapei Xu, Peigang Xu, Tianxiang Xu, Haiqi Xu, Qing-Wen Xu, Junnv Xu, Tian-Rui Xu, Wanfu Xu, Wang-Hong Xu, Maotian Xu, Suoyu Xu, Mingli Xu, Qingqing Xu, Liwen Xu, Zhenming Xu, Jingyi Xu, Yihua Xu, Dong-Juan Xu, Mu Xu, Meifeng Xu, Li-Ling Xu, Dongmei Xu, Jianliang Xu, Pengfei Xu, Xinjie Xu, Changlin Xu, Shuai Xu, Yingli Xu, Fang-Yuan Xu, Ying Xu, Guo-Liang Xu, Zhiqiang Xu, Xirui Xu, Haiying Xu, Wen Xu, Xiaoyin Xu, Wenwen Xu, Mengping Xu, Jing-Yu Xu, Chunlan Xu, Danfeng Xu, Yuan Xu, Wenchun Xu, Zekuan Xu, Nuo Xu, Shuxiang Xu, Min Jie Xu, Penghui Xu, Zixuan Xu, Bingqi Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Qingyuan Xu, Zhaojun Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yingju Xu, Yayun Xu, Guang-Qing Xu, Kaixiang Xu, Lingling Xu, Jiyu Xu, Anton Xu, Jason Xu, Donghang Xu, Xiaowu Xu, Fengzhe Xu, Xia Xu, Xiangshan Xu, Wan-Ting Xu, Fengyan Xu, Qingheng Xu, Changlu Xu, Huaiyuan Xu, Jinsong Xu, Dongchen Xu, Rang Xu, Peng-Yuan Xu, Weihong Xu, Jinyuan Xu, Wanxue Xu, Xinyi Xu, Jie Xu, Junfeng Xu, Haiming Xu, Danning Xu, Sutong Xu, Shan Xu, Meng Xu, Yueyue Xu, Jixuan Xu, Hongjian Xu, Zhidong Xu, Jinjin Xu, Xiaobo Xu, Hongmei Xu, Shu-Xian Xu, Chuang Xu, Shuaili Xu, Zhixian Xu, Yun Xu, Yue Xu, George X Xu, Man Xu, Jiaai Xu, Zeqing Xu, Baijie Xu, Zheng-Fan Xu, Bojie Xu, Mengru Xu, H Y Xu, Yinhe Xu, Linna Xu, Liqun Xu, Zhi-Zhen Xu, Xiaohui Xu, Yinxia Xu, Xingmeng Xu, Pan Xu, Pengjie Xu, Kexin Xu, Kai Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Hongjiang Xu, Shuiyang Xu, Kaihao Xu, Suo-Wen Xu, Heng Xu, Zebang Xu, Hongbo Xu, Chenhao Xu, Fanghua Xu, Yaowen Xu, Jing Xu, Qianqian Xu, Andrew Z Xu, Flora Mengyang Xu, Yuanzhi Xu, Leilei Xu, Leyuan Xu, M-Y Xu, Hongzhi Xu, Zongren Xu, Xinyue Xu, Qingxia Xu, Xiao-Hua Xu, Cineng Xu, Nannan Xu, Guoshuai Xu, Mingzhu Xu, X S Xu, Guang Xu, Song-Hui Xu, Zhiyang Xu, Wang-Dong Xu, De-Xiang Xu, Yi Ran Xu, Shengen Xu, Jianzhong Xu, F Xu, Dexiang Xu, Rui-Hua Xu, Tongxin Xu, Wanting Xu, Bingqian Xu, Yang Xu, Jiaqian Xu, Yu-Ping Xu, Zhanqiong Xu, Haixia Xu, Hao Xu, HuiTing Xu, Hanfei Xu, Shu-Zhen Xu, Zhong Xu, Xun Xu, Xiaolu Xu, S Xu, Ning Xu, Guangyan Xu, Chengye Xu, Xizhan Xu, Ya-Peng Xu, Jianming Xu, Wenhao Xu, Minghong Xu, Mingqian Xu, Yaqin Xu, Chang-Qing Xu, Weiyong Xu, Huixuan Xu, Jialin Xu, Fei Xu, Z Xu, Pao Xu, Youping Xu, Keke Xu, Shunjiang Xu, Feilai Xu, Jia-Li Xu, Yucheng Xu, Qi Xu, Jinhua Xu, Chunli Xu, Zhiliang Xu, Jinxin Xu, Bingqing Xu, Lianjun Xu, Weihai Xu, Lifen Xu, Wenqi Xu, Zheng-Hong Xu, Lin Xu, Zuojun Xu, Yanquan Xu, Yanwu Xu, Mingjie Xu, Hui-Lian Xu, Cong Xu, Dongjun Xu, Maodou Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Yinglin Xu, Haoyu Xu, Wenqing Xu, Changliu Xu, Jiali Xu, Xiaoke Xu, Feng-Xia Xu, Carrie Xu, Yuheng Xu, Wanwan Xu, Shimeng Xu, Weiming Xu, Gui-Ping Xu, Zhenzhou Xu, Yangbin Xu, Aohong Xu, Wenlong Xu, Jia-Xin Xu, Luyi Xu, Manyi Xu, Xinxuan Xu, Changde Xu, De Xu, Gaosi Xu, Baofeng Xu, Chang Xu, Wanhai Xu, Qing Xu, Zuyuan Xu, Pingwen Xu, Feng-Yuan Xu, Aoling Xu, Erping Xu, Shaoqi Xu, Zhicheng Xu, Lun-Shan Xu, Shiyao Sherrie Xu, Jianing Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Iris M J Xu, Zhi Xu, Xiaomeng Xu, Mengyi Xu, Meifang Xu, Houxi Xu, Yuanfeng Xu, Shuqia Xu, Da-Peng Xu, Hong-tao Xu, Yaling Xu, Mei Xu, Xiaojiao Xu, Zhiru Xu, Weide Xu, Dandan Xu, W Xu, Shun Xu, Jianhua Xu, Tongda Xu, Lijun Xu, Yechun Xu, Cynthia M Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Ruohong Xu, Jiawei Xu, Yuhan Xu, Shanqi Xu, Shoujia Xu, T Xu, Weifeng Xu, Qiuyun Xu, Hu Xu, Yanming Xu, Hongwei Xu, Ziyu Xu, Kaishou Xu, Jian Hua Xu, Xin Xu, Liu Xu, Zetan Xu, Leiting Xu, Yong-Nan Xu, Houguo Xu, Zhizhen Xu, Ya-lin Xu, Xiang Xu, Suowen Xu, Xuejin Xu, Yiming Xu, Genxing Xu, Yun-Teng Xu, Yanling Xu, Yuanhong Xu, Lijuan Xu, Xingzhi Xu, Guanghao Xu, Qiu-Han Xu, Siqun Xu, Wen-Xiong Xu, Qianghua Xu, Shuangbing Xu, Wenjun Xu, Jiangang Xu, Yangliu Xu, Jinjian Xu, W M Xu, Shanqiang Xu, Zefeng Xu
articles
Renyuan Xu, Haomiao Lan, Li Zhang +3 more · 2024 · Cellular and molecular biology (Noisy-le-Grand, France) · added 2026-04-24
Circular RNAs (circRNAs) are engaged in various types of cancers. This study aimed to investigate the roles of circ₀₀₀₆₇₄₃ (circ_JMJD1C) in breast cancer. The downstream of circ_JMJD1C and their inte Show more
Circular RNAs (circRNAs) are engaged in various types of cancers. This study aimed to investigate the roles of circ₀₀₀₆₇₄₃ (circ_JMJD1C) in breast cancer. The downstream of circ_JMJD1C and their interaction network was determined by bioinformatic analyses. Gene expression were analyzed through western blot and qRT-PCR assays. Functional assays were conducted in vitro and in vivo to verify circ_JMJD1C role in BC. FISH and confocal analysis indicated the cellular distribution of circ_JMJD1C. Luciferase reporter, RNA immune-precipitation (RIP) assays, as well as Pearson's correlation analysis, were implemented to test the relation of miR-182-5p, JMJD1C and circ_JMJD1C. Circ_JMJD1C and JMJD1C expression were both elevated, and their expression was positively correlated in BC. Circ_ JMJD1C knockdown hindered BC cell proliferation, invasion, and migration, along with epithelial-mesenchymal transition (EMT) in vitro and in vivo. Circ_JMJD1C facilitated BC progression by the miR-182-5p-JMJD1C axis. Circ_JMJD1C epigenetically upregulated SOX4. Circ_JMJD1C promotes the aggressiveness of BC via regulating miR-182-5p/JMJD1C/SOX4 axis. This may provide a novel and promising therapy targeting BC. Show less
no PDF DOI: 10.14715/cmb/2024.70.3.31
JMJD1C
Xingmei Guo, Zhini Xiao, Haimin Xu +10 more · 2024 · International journal of surgical pathology · SAGE Publications · added 2026-04-24
no PDF DOI: 10.1177/10668969231217632
JMJD1C
Feixiong Cheng, Yayan Feng, Margaret Flanagan +14 more · 2024 · Research square · added 2026-04-24
Although human cerebellum is known to be neuropathologically impaired in Alzheimer's disease (AD) and AD-related dementias (ADRD), the cell type-specific transcriptional and epigenomic changes that co Show more
Although human cerebellum is known to be neuropathologically impaired in Alzheimer's disease (AD) and AD-related dementias (ADRD), the cell type-specific transcriptional and epigenomic changes that contribute to this pathology are not well understood. Here, we report single-nucleus multiome (snRNA-seq and snATAC-seq) analysis of 103,861 nuclei isolated from cerebellum from 9 human cases of AD/ADRD and 8 controls, and with frontal cortex of 6 AD donors for additional comparison. Using peak-to-gene linkage analysis, we identified 431,834 significant linkages between gene expression and cell subtype-specific chromatin accessibility regions enriched for candidate cis-regulatory elements (cCREs). These cCREs were associated with AD/ADRD-specific transcriptomic changes and disease-related gene regulatory networks, especially for RAR Related Orphan Receptor A (RORA) and E74 Like ETS Transcription Factor 1 (ELF1) in cerebellar Purkinje cells and granule cells, respectively. Trajectory analysis of granule cell populations further identified disease-relevant transcription factors, such as RORA, and their regulatory targets. Finally, we prioritized two likely causal genes, including Seizure Related 6 Homolog Like 2 (SEZ6L2) in Purkinje cells and KAT8 Regulatory NSL Complex Subunit 1 (KANSL1) in granule cells, through integrative analysis of cCREs derived from snATAC-seq, genome-wide AD/ADRD loci, and Hi-C looping data. This first cell subtype-specific regulatory landscape in the human cerebellum identified here offer novel genomic and epigenomic insights into the neuropathology and pathobiology of AD/ADRD and other neurological disorders if broadly applied. Show less
no PDF DOI: 10.21203/rs.3.rs-4871032/v1
KANSL1
Ruo-Hui Huang, Zi-Lu Ge, Gang Xu +6 more · 2024 · Aging · Impact Journals · added 2026-04-24
Prostate cancer (PCa) is a malignant tumor of the male reproductive system, and its incidence has increased significantly in recent years. This study aimed to further identify candidate biomarkers wit Show more
Prostate cancer (PCa) is a malignant tumor of the male reproductive system, and its incidence has increased significantly in recent years. This study aimed to further identify candidate biomarkers with prognostic and diagnostic significance by integrating gene expression and DNA methylation data from PCa patients through association analysis. To this end, this paper proposes a sparse partial least squares regression algorithm based on hypergraph regularization (HR-SPLS) by integrating and clustering two kinds of data. Next, module 2, with the most significant weight, was selected for further analysis according to the weight of each module related to DNA methylation and mRNAs. Based on the DNA methylation sites in module 2, this paper uses multiple machine learning methods to construct a PCa diagnosis-related model of 10-DNA methylation sites. The results of Receiver Operating Characteristic (ROC) analysis showed that the DNA methylation-related diagnostic model we constructed could diagnose PCa patients with high accuracy. Subsequently, based on the mRNAs in module 2, we constructed a prognostic model for 7-mRNAs (MYH11, ACTG2, DDR2, CDC42EP3, MARCKSL1, LMOD1, and MYLK) using multivariate Cox regression analysis. The prognostic model could predict the disease free survival of PCa patients with moderate to high accuracy (area under the curve (AUC) =0.761). In addition, Gene Set EnrichmentAnalysis (GSEA) and immune analysis indicated that the prognosis of patients in the risk group might be related to immune cell infiltration. Our findings may provide new methods and insights for identifying disease-related biomarkers by integrating DNA methylation and gene expression data. Show less
📄 PDF DOI: 10.18632/aging.205889
LMOD1
Yujie Li, Ke Xu, Ao Zhou +5 more · 2024 · Genes · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/genes15121562
LPL
Jia Hao, Shaohui Beng, Zifeng Ma +9 more · 2024 · Food science & nutrition · Wiley · added 2026-04-24
This study aimed to investigate the effects of short-term exposure of Bisphenol A (BPA) on the growth and lactation performance, blood parameters, and milk composition of lactating rabbits and explore Show more
This study aimed to investigate the effects of short-term exposure of Bisphenol A (BPA) on the growth and lactation performance, blood parameters, and milk composition of lactating rabbits and explore its potential molecular mechanisms. Eight lactating rabbits with similar body weight were selected and randomly divided into the experimental group (BPA) and the control group (Ctrl). The group BPA was orally administered 80 mg/kg/day BPA on the 15th day postpartum, while the group Ctrl received a corresponding volume of vehicle. Blood and milk samples were collected after 7 days treatment. The results showed that short-term ingestion of BPA did not obviously alter the body weight, feed intake, or milk yield of the lactating rabbits. ELISA assays indicated that BPA did not significantly affect the plasma levels of glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), creatinine (CRE), alanine aminotransferase (ALT), aspartate aminotransferase (AST), uric acid (UA), and urea. Utilizing untargeted metabolomics, we first depicted the metabolomic profile of rabbit milk, and identified 277 differential metabolites (DMs), with 141 DMs upregulated (e.g., BPA, and its metabolites including Cetirizine N-oxide) and 136 DMs downregulated (e.g., Oleamide, Tiglic acid, PC O-38:4) in the group BPA. KEGG analysis revealed that the DMs were mainly enriched in pathways comprising fatty acid metabolism, fatty acid degradation, and phosphatidylinositol signaling system, emphasizing the effect of BPA on milk fat metabolism. Hence, we established the BPA-induced MAC-T model, and the results showed that BPA significantly reduced cell viability and impacted lipid synthesis, as evidenced by reduced lipid droplets (BODIPY and Oil Red O staining) and decreased expression of genes related to lipid synthesis (e.g., Show less
📄 PDF DOI: 10.1002/fsn3.4561
LPL
Guangquan Xu, Mengyang Chu, Shengxian Shen +10 more · 2024 · Archives of dermatological research · Springer · added 2026-04-24
Lipid metabolism disorders are frequently noted in atopic dermatitis (AD) patients, prompting the long-term use of lipid-lowering drugs. However, the causal effects of circulating lipids and different Show more
Lipid metabolism disorders are frequently noted in atopic dermatitis (AD) patients, prompting the long-term use of lipid-lowering drugs. However, the causal effects of circulating lipids and different lipid-lowering drugs on the risk of AD are not thoroughly understood. Using publicly available genome-wide association studies (GWAS) summary data from two different cohorts, a series of Mendelian randomization (MR) analyses were conducted to explore the causal effects of genetically proxied circulating lipids and lipid-lowering drugs on the risk of AD. Statistically, the random-effects inverse-variance-weighted (IVW) model was used as main analysis and several methods were conducted for sensitivity analysis to test the robustness of our results. Our findings revealed reduced risks of AD related to genetically proxied subtilisin/kexin type 9 (PCSK9) inhibition and lipoprotein lipase (LPL) agonist, while an increased AD risk associated with Niemann-Pick C1-like 1 (NPC1L1) inhibition. Circulating lipids and other drug targets did not show significant associations with AD risk. These results were replicated in the validation cohort; sensitivity analyses confirmed the robustness. This MR study suggests that, independent of circulating lipids, the use of PCSK9 inhibitors and LPL agonists may be associated with a decreased risk of AD, while inhibition of NPC1L1 is implicated in an increased risk. These findings may help optimize personalized selection of lipid-lowering drugs for AD patients and those at risk of AD. Show less
📄 PDF DOI: 10.1007/s00403-024-03635-4
LPL
Wei Zhang, Shiyin Wang, Liwei Yang +5 more · 2024 · Frontiers in veterinary science · Frontiers · added 2026-04-24
The fat tail of sheep is an adaptive trait that facilitates their adaptation to harsh natural environments. MicroRNAs (miRNAs) have been demonstrated to play crucial roles in the regulation of tail fa Show more
The fat tail of sheep is an adaptive trait that facilitates their adaptation to harsh natural environments. MicroRNAs (miRNAs) have been demonstrated to play crucial roles in the regulation of tail fat deposition. In this study, miRNA-Seq was employed to investigate the expression profiles of miRNAs during different developmental stages of sheep fat tails and elucidate the functions of differentially expressed miRNAs (DE miRNAs). A total of 350 DE miRNAs were identified, among which 191, 60, 26, and 21 were significantly upregulated in tail fat tissues of fetal, lamb, hogget Altay sheep, and adult Xinjiang fine wool (XFW) sheep but downregulated in other stages. Furthermore, we predicted a set of candidate target genes (4,476) for the top 20 DE miRNAs. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that they involve in several adipogenesis-related pathways. Subsequent investigations indicated that four DE miRNAs, miR-433-3p, miR-485-3p, miR-409-3p, and miR-495-3p, could suppress the expression of peroxisome proliferator-activated receptor gamma ( The expression patterns of miRNAs exhibited significant fluctuations during different development periods of the fat tail, and some of them may participate in the regulation of tail fat deposition by modulating the proliferation and differentiation of preadipocytes. Show less
📄 PDF DOI: 10.3389/fvets.2024.1491160
LPL
Wenhui Feng, Zongyong Lou, Xiaoqiang Zhao +3 more · 2024 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
Due to their low cost, good biocompatibility, and ease of structural modification, organic long-persistent luminescence (LPL) materials have garnered significant attention in organic light-emitting di Show more
Due to their low cost, good biocompatibility, and ease of structural modification, organic long-persistent luminescence (LPL) materials have garnered significant attention in organic light-emitting diodes, biological imaging, information encryption, and chemical sensing. Efficient charge separation and carrier migration by the host-guest structure or using polymers and crystal to build rigid environments are effective ways of preparing high-performance materials with long-lasting afterglow. In this study, four types of crystalline materials (MODPA: DDF-O, MODPA: DDF-CHO, MODPA: DDF-Br, and MODPA: DDF-TRC) were prepared by a convenient host-guest doping method at room temperature under ambient conditions, i.e., in the presence of oxygen. The first three types exhibited long-lived charge-separated (CS) states and achieved visible LPL emissions with durations over 7, 4, and 2 s, respectively. More surprisingly, for the DDF-O material prepared with PMMA as the polymer substrate, the afterglow time of DDF-O: PMMA was longer than 10 s. The persistent room-temperature phosphorescence effect caused by different CS state generation efficiencies and rigid environment were the main reason for the difference in LPL duration. The fourth crystalline material was without charge separation and exhibited no LPL because it was not a D-A system. The research results indicate that the CS state generation efficiency and a rigid environment are the key factors affecting the LPL properties. This work provides new understandings in designing organic LPL materials. Show less
📄 PDF DOI: 10.3390/molecules29194537
LPL
Yuyan Zhang, Xinhai Jiang, Weizhi Wang +13 more · 2024 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Atherosclerosis is the most common cause of cardiovascular diseases. Clinical studies indicate that loss-of-function ASGR1 (asialoglycoprotein receptor 1) is significantly associated with lower plasma Show more
Atherosclerosis is the most common cause of cardiovascular diseases. Clinical studies indicate that loss-of-function ASGR1 (asialoglycoprotein receptor 1) is significantly associated with lower plasma cholesterol levels and reduces cardiovascular disease risk. However, the effect of ASGR1 on atherosclerosis remains incompletely understood; whether inhibition of ASGR1 causes liver injury remains controversial. Here, we comprehensively investigated the effects and the underlying molecular mechanisms of ASGR1 deficiency and overexpression on atherosclerosis and liver injury in mice. We engineered After being fed a Western diet for 12 weeks, Inhibition of ASGR1 inhibits atherosclerosis in Western diet-fed Show less
📄 PDF DOI: 10.1161/ATVBAHA.124.321076
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Yingzheng Xu, Hannah Hillman, Michael Chang +2 more · 2024 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Macrophages are essential immune cells present in all tissues, and are vital for maintaining tissue homeostasis, immune surveillance, and immune responses. Considerable efforts have identified shared Show more
Macrophages are essential immune cells present in all tissues, and are vital for maintaining tissue homeostasis, immune surveillance, and immune responses. Considerable efforts have identified shared and tissue-specific gene programs for macrophages across organs during homeostasis. This information has dramatically enhanced our understanding of tissue-restricted macrophage programming and function. However, few studies have addressed the overlapping and tissue-specific responses of macrophage subsets following inflammatory responses. One subset of macrophages that has been observed across several studies, lipid-associated macrophages (LAMs), have gained interest due to their unique role in lipid metabolism and potential as a therapeutic target. LAMs have been associated with regulating disease outcomes in metabolically related disorders including atherosclerosis, obesity, and nonalcoholic fatty liver disease (NAFLD). In this study, we utilized single-cell RNA sequencing (scRNAseq) data to profile LAMs across multiple tissues and sterile inflammatory conditions in mice and humans. Integration of data from various disease models revealed that LAMs share a set of conserved transcriptional profiles, including Show less
📄 PDF DOI: 10.1101/2024.09.24.614807
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Yawei Zhao, Meihui He, Lianzhi Cui +8 more · 2024 · BMC cancer · BioMed Central · added 2026-04-24
Breast cancer is the most commonly diagnosed cancer worldwide. Although major treatments represented by chemotherapy have shown effectiveness at the initial period, recurrence and metastasis still occ Show more
Breast cancer is the most commonly diagnosed cancer worldwide. Although major treatments represented by chemotherapy have shown effectiveness at the initial period, recurrence and metastasis still occur later after treatments. The alternation of the tumor microenvironment by chemotherapy is confirmed as a trigger of the elevated proliferation and migration of the remaining tumor cells. Using bioinformatic methods, differential gene expression analysis was used to determine DEGs between post-chemotherapy and pre-chemotherapy samples of breast cancer patients, followed by survival analysis and ELISA analysis of the potential key genes. An in vitro model of 2 breast cancer cells lines was used to demonstrate the role of VWF in the evasion and migration of breast cancer cells, using cell migration, evasion and wound healing assays, PCR and molecular docking analysis. 19 hub genes were further identified using GO and KEGG pathway analyses and WGCNA. The 5 secreted protein-coding genes with reported carcinogenesis effects (VWF, SVEP1, DPT, ADIPOQ, and LPL) were further analyzed in breast cancer patients and VWF was identified as a potential key regulator in the anthracycline-based chemotherapy-exacerbated metastasis. It was further confirmed that anthracycline-based chemotherapeutics doxorubicin exacerbated VWF upregulation and the evasion and migration of breast cancer cells. Based on molecular docking analysis and previous study, berberine was used as an inhibitor of VWF, and showed an effective inhibition of the doxorubicin-exacerbated VWF upregulation, migration and evasion in breast cancer. Doxorubicin-exacerbated evasion and migration through VWF upregulation. Berberine as an inhibitor of VWF was able to reversed the doxorubicin-exacerbated VWF upregulation and evasion and migration in breast cancer cells. Show less
📄 PDF DOI: 10.1186/s12885-024-12999-9
LPL
Ying Xu, Xuan Zhang, Shanshan Liu +5 more · 2024 · Cytokine · Elsevier · added 2026-04-24
Interleukin (IL)-38 belongs to the IL-36 subfamily within the IL-1 family. Patients with inflammatory bowel diseases (IBD) exhibit higher levels of IL-38 in their intestinal tissue compared to healthy Show more
Interleukin (IL)-38 belongs to the IL-36 subfamily within the IL-1 family. Patients with inflammatory bowel diseases (IBD) exhibit higher levels of IL-38 in their intestinal tissue compared to healthy controls, suggesting that IL-38 may play a role in the pathogenesis of IBD. However, IL-38's impact on T cell-mediated immune responses in gastrointestinal inflammation has not been investigated. Therefore, the objective of this work was to elucidate the role of IL-38 in modulating T cells in a mouse model of dextran sulfate sodium (DSS)-induced chronic colitis. Recombinant IL-38 (rIL-38) was administered intraperitoneally (i.p.) to mice with chronic colitis induced by DSS. Clinical symptoms, length of colon, and histologic alterations were assessed. Cytokine production was quantified using ELISA, and helper T (Th) cell subsets were evaluated via flow cytometry. Administration of recombinant IL-38 (rIL-38) alleviated DSS-induced chronic colitis. In addition, animals with chronic colitis treated with rIL-38 exhibited a significant decrease in the spontaneous production of inflammatory cytokines by neutrophils in the lamina propria. Furthermore, rIL-38 treatment increased the absolute numbers and percentages of regulatory T cells (Tregs) but decreased the absolute numbers and percentages of Th1 and Th17 cells. Moreover, rIL-38 treatment also decreased IL-17A-producing γδT cells substantially. This study's results show that IL-38 reduces the effects of chronic colitis caused by DSS by boosting Treg reactions and reducing Th1/Th17 reactions and IL-17A-producing γδT cells in LPL. Therefore, we propose that IL-38 has the potential to be utilized as a biological therapy agent for IBD. Show less
no PDF DOI: 10.1016/j.cyto.2024.156769
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Yao Zheng, Haijun Tang, Jiawen Hu +3 more · 2024 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
Fish exhibit varying responses to polystyrene microplastics (MPs) depending on particle size. Previous studies suggested that microorganisms adhering to the surface of MPs can induce toxic effects. In Show more
Fish exhibit varying responses to polystyrene microplastics (MPs) depending on particle size. Previous studies suggested that microorganisms adhering to the surface of MPs can induce toxic effects. In this study, Tilapia were exposed to MPs of control (group A), 75 nm (B), 7.5 μm (C), 750 μm (D), as well as combinations of all sizes (E) and 75 nm MPs with Chlorella vulgaris addition (F) for 7, 10 and 14 days. Histopathological changes in liver of tilapia were assessed using enzyme activities, transcriptomics and proteomics. The results showed that in groups combined MPs of different particle sizes and those supplemented with chlorella, MPs were localized on the surface of goblet cells, leading to vacuoles, constricted hepatic sinuses and nuclei displacement. Exposure to 7.5 and 750 μm MPs significantly increased the contents of fatty acid synthase (FAS), adenosine triphosphate (ATP), acetyl-CoA carboxylase (ACC), lipoprotein lipase (LPL), total cholesterol (TC), total triglyceride (TG) contents at 7 and 10 days. In particular, cytochrome p450 1a1 (EROD), reactive oxygen species (ROS) and superoxide dismutase (SOD) were markedly elevated following exposure to MPs. Apoptotic markers caspase-3, and inflammatory markers, including tumor necrosis factor α (TNF-α) and interleukin-1β (IL-1β), had a similar upward trend in comparisons of group C vs A at 7 d, group D vs A at 14 d. The peroxisome proliferator activated receptor (PPAR) signaling pathway, spliceosome, was highly enriched during the 7-day exposure of medium sized MPs, while largest MPs in the comparison of group D vs A at 14 d activated pathways such as phagosome, apoptosis, salmonella infection. Transcriptomic analysis revealed that after 14 days, the kyoto encyclopedia of genes and genomes (KEGG) pathways associated with protein processing in endoplasmic reticulum and the PPAR signaling has been significantly enriched in the Chlorella-supplemented group, which was further confirmed via the proteomic analysis. Overall, the findings highlight the size-dependent effects of MPs on histopathological changes, gene and protein expression in the liver of tilapia, and C. vulgaris effectively attenuated liver damages, likely through modulation of endoplasmic reticulum protein processing and PPAR signaling pathways. Show less
no PDF DOI: 10.1016/j.ecoenv.2024.117076
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Yuting Tan, Xuan Huang, Chunhui Xu +3 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
The Taihe Black-Bone Silky Fowl (
📄 PDF DOI: 10.3390/ijms25179373
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Tian Liu, Liting Wang, Li Ji +5 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
Plantaginis semen is the dried ripe seed of
📄 PDF DOI: 10.3390/ijms25158548
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Yong Liu, Xia Zhang, Kun Wang +11 more · 2024 · Foods (Basel, Switzerland) · MDPI · added 2026-04-24
Poultry is a source of meat that is in great demand in the world. The quality of meat is an imperative point for shoppers. To explore the genes controlling meat quality characteristics, the growth and Show more
Poultry is a source of meat that is in great demand in the world. The quality of meat is an imperative point for shoppers. To explore the genes controlling meat quality characteristics, the growth and meat quality traits and muscle transcriptome of two indigenous Yunnan chicken breeds, Wuding chickens (WDs) and Daweishan mini chickens (MCs), were compared with Cobb broilers (CBs). The growth and meat quality characteristics of these two indigenous breeds were found to differ from CB. In particular, the crude fat (CF), inosine monophosphate content, amino acid (AA), and total fatty acid (TFA) content of WDs were significantly higher than those of CBs and MCs. In addition, it was found that MC pectoralis had 420 differentially expressed genes (DEGs) relative to CBs, and WDs had 217 DEGs relative to CBs. Among them, 105 DEGs were shared. The results of 10 selected genes were also confirmed by qPCR. The differentially expressed genes were six enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathways including lysosomes, phagosomes, PPAR signaling pathways, cell adhesion molecules, cytokine-cytokine receptor interaction, and phagosome sphingolipid metabolism. Interestingly, four genes ( Show less
📄 PDF DOI: 10.3390/foods13132008
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Maodou Xu, Yaoyao Zhang, Yang Zhang +3 more · 2024 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
The fat deposition of different adipose tissues is widely recognized as correlated, with distinct effects on meat quality traits and reproductive performance in poultry. In this study, we utilized lip Show more
The fat deposition of different adipose tissues is widely recognized as correlated, with distinct effects on meat quality traits and reproductive performance in poultry. In this study, we utilized lipidomics and transcriptomics analyses to investigate the heterogeneity and regulators of intramuscular fat (IMF), abdominal fat (AF), and subcutaneous fat (SF) in geese. Lipidomic profiling revealed 165, 129, and 77 differential lipid molecules (DLMs) between AF vs. IMF, SF vs. IMF, and SF vs. AF, respectively, with 47 common DLMs identified between AF vs. IMF and SF vs. IMF. Transcriptomic analysis identified 3369, 5758, and 131 differentially expressed genes (DEGs) between AF vs. IMF, SF vs. IMF, and SF vs. AF, respectively, with 2510 common DEGs identified between AF vs. IMF and SF vs. IMF. The KEGG results indicate that DLMs were predominantly enriched in glycerophospholipid and glycerolipid metabolism pathways, while DEGs were primarily enriched in metabolic pathways. Pearson correlation analysis identified Show less
📄 PDF DOI: 10.3390/ani14131990
LPL
Yiheng Huang, Liujun Chen, Lisha Li +13 more · 2024 · JCI insight · added 2026-04-24
Lipoprotein lipase (LPL) hydrolyzes circulating triglycerides (TGs), releasing fatty acids (FA) and promoting lipid storage in white adipose tissue (WAT). However, the mechanisms regulating adipose LP Show more
Lipoprotein lipase (LPL) hydrolyzes circulating triglycerides (TGs), releasing fatty acids (FA) and promoting lipid storage in white adipose tissue (WAT). However, the mechanisms regulating adipose LPL and its relationship with the development of hypertriglyceridemia are largely unknown. WAT from obese humans exhibited high PAR2 expression, which was inversely correlated with the LPL gene. Decreased LPL expression was also inversely correlated with elevated plasma TG levels, suggesting that adipose PAR2 might regulate hypertriglyceridemia by downregulating LPL. In mice, aging and high palmitic acid diet (PD) increased PAR2 expression in WAT, which was associated with a high level of macrophage migration inhibitory factor (MIF). MIF downregulated LPL expression and activity in adipocytes by binding with CXCR2/4 receptors and inhibiting Akt phosphorylation. In a MIF overexpression model, high-circulating MIF levels suppressed adipose LPL, and this suppression was associated with increased plasma TGs but not FA. Following PD feeding, adipose LPL expression and activity were significantly reduced, and this reduction was reversed in Par2-/- mice. Recombinant MIF infusion restored high plasma MIF levels in Par2-/- mice, and the levels decreased LPL and attenuated adipocyte lipid storage, leading to hypertriglyceridemia. These data collectively suggest that downregulation of adipose LPL by PAR2/MIF may contribute to the development of hypertriglyceridemia. Show less
📄 PDF DOI: 10.1172/jci.insight.173240
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Junfeng Wu, Tao Chen, Minghang Zhang +5 more · 2024 · Archives of toxicology · Springer · added 2026-04-24
Steroid-induced osteonecrosis of the femoral head (SONFH) is a prevalent form of osteonecrosis in young individuals. More efficacious clinical strategies must be used to prevent and treat this conditi Show more
Steroid-induced osteonecrosis of the femoral head (SONFH) is a prevalent form of osteonecrosis in young individuals. More efficacious clinical strategies must be used to prevent and treat this condition. One of the mechanisms through which SONFH operates is the disruption of normal differentiation in bone marrow adipocytes and osteoblasts due to prolonged and extensive use of glucocorticoids (GCs). In vitro, it was observed that atorvastatin (ATO) effectively suppressed the impact of dexamethasone (DEX) on bone marrow mesenchymal stem cells (BMSCs), specifically by augmenting their lipogenic differentiation while impeding their osteogenic differentiation. To investigate the underlying mechanisms further, we conducted transcriptome sequencing of BMSCs subjected to different treatments, leading to the identification of Wnt5a as a crucial gene regulated by ATO. The analyses showed that ATO exhibited the ability to enhance the expression of Wnt5a and modulate the MAPK pathway while regulating the Wnt canonical signaling pathway via the WNT5A/LRP5 pathway. Our experimental findings provide further evidence that the combined treatment of ATO and DEX effectively mitigates the effects of DEX, resulting in the upregulation of osteogenic genes (Runx2, Alpl, Tnfrsf11b, Ctnnb1, Col1a) and the downregulation of adipogenic genes (Pparg, Cebpb, Lpl), meanwhile leading to the upregulation of Wnt5a expression. So, this study offers valuable insights into the potential mechanism by which ATO can be utilized in the prevention of SONFH, thereby holding significant implications for the prevention and treatment of SONFH in clinical settings. Show less
📄 PDF DOI: 10.1007/s00204-024-03817-z
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Yongmin Duan, Shugang Li, Keyi Gu +3 more · 2024 · Optics letters · added 2026-04-24
Herein, by ball milling CsPb(Br/I)
no PDF DOI: 10.1364/OL.522446
LPL
Yong Shi, Lei Zhong, Yuanxiang Liu +4 more · 2024 · Animal nutrition (Zhongguo xu mu shou yi xue hui) · Elsevier · added 2026-04-24
The intake of high-fat diets (HFD) has been shown to diminish the muscle quality of aquatic animals. Sanguinarine, as an excellent additive, exhibits the capability to reduce fat deposition and allevi Show more
The intake of high-fat diets (HFD) has been shown to diminish the muscle quality of aquatic animals. Sanguinarine, as an excellent additive, exhibits the capability to reduce fat deposition and alleviate inflammation. However, its role in the muscle quality reduction caused by HFD remains unclear. An eight-week trial was conducted to investigate the impacts of dietary supplementation of sanguinarine at 1200 μg/kg (HFDS; crude fat = 10%) on the muscle quality of grass carp ( Show less
📄 PDF DOI: 10.1016/j.aninu.2024.04.001
LPL
Yuanshuo Fan, Juan He, Lixin Shi +5 more · 2024 · Acta diabetologica · Springer · added 2026-04-24
Accumulating evidences indicate that abnormalities in tubular lipid metabolism play a crucial role in the development of diabetic kidney disease (DKD). We aim to identify novel lipid metabolism-relate Show more
Accumulating evidences indicate that abnormalities in tubular lipid metabolism play a crucial role in the development of diabetic kidney disease (DKD). We aim to identify novel lipid metabolism-related genes associated with tubular injury in DKD by utilizing bioinformatics approaches. Differentially expressed genes (DEGs) between control and DKD tubular tissue samples were screened from the Gene Expression Omnibus (GEO) database, and then were intersected with lipid metabolism-related genes. Hub genes were further determined by combined weighted gene correlation network analysis (WGCNA) and protein-protein interaction (PPI) network. We performed enrichment analysis, immune analysis, clustering analysis, and constructed networks between hub genes and miRNAs, transcription factors and small molecule drugs. Receiver operating characteristic (ROC) curves were employed to evaluate the diagnostic efficacy of hub genes. We validated the relationships between hub genes and DKD with external datasets and our own clinical samples. There were 5 of 37 lipid metabolism-related DEGs identified as hub genes. Enrichment analysis demonstrated that lipid metabolism-related DEGs were enriched in pathways such as peroxisome proliferator-activated receptors (PPAR) signaling and pyruvate metabolism. Hub genes had potential regulatory relationships with a variety of miRNAs, transcription factors and small molecule drugs, and had high diagnostic efficacy. Immune infiltration analysis revealed that 13 immune cells were altered in DKD, and hub genes exhibited significant correlations with a variety of immune cells. Through clustering analysis, DKD patients could be classified into 3 immune subtypes and 2 lipid metabolism subtypes, respectively. The tubular expression of hub genes in DKD was further verified by other external datasets, and immunohistochemistry (IHC) staining showed that except ACACB, the other 4 hub genes (LPL, AHR, ME1 and ALOX5) exhibited the same results as the bioinformatics analysis. Our study identified several key lipid metabolism-related genes (LPL, AHR, ME1 and ALOX5) that might be involved in tubular injury in DKD, which provide new insights and perspectives for exploring the pathogenesis and potential therapeutic targets of DKD. Show less
no PDF DOI: 10.1007/s00592-024-02278-1
LPL
Danning Xu, Siqi Zhuang, Hongzhi Chen +7 more · 2024 · Journal of translational medicine · BioMed Central · added 2026-04-24
Interleukin-33 (IL-33), an emerging cytokine within the IL-1 family, assumes a pivotal function in the control of obesity. However, the specific mechanism of its regulation of obesity formation remain Show more
Interleukin-33 (IL-33), an emerging cytokine within the IL-1 family, assumes a pivotal function in the control of obesity. However, the specific mechanism of its regulation of obesity formation remains unclear. In this study, we found that the expression level of IL-33 increased in visceral adipose tissue in mice fed with a high-fat diet (HFD) compared with that in mice fed with a normal diet (ND). In vitro, we also found the expression level of IL-33 was upregulated during the adipogenesis of 3T3-L1 cells. Functional test results showed that knockdown of IL-33 in 3T3-L1 cells differentiation could promote the accumulation of lipid droplets, the content of triglyceride and the expression of adipogenic-related genes (i.e. PPAR-γ, C/EBPα, FABP4, LPL, Adipoq and CD36). In contrast, overexpression of IL-33 inhibits adipogenic differentiation. Meanwhile, the above tests were repeated after over-differentiation of 3T3-L1 cells induced by oleic acid, and the results showed that IL-33 played a more significant role in the regulation of adipogenesis. To explore the mechanism, transcriptome sequencing was performed and results showed that IL-33 regulated the PPAR signaling pathway in 3T3-L1 cells. Further, Western blot and confocal microscopy showed that the inhibition of IL-33 could promote PPAR-γ expression by inhibiting the Wnt/β-catenin signal in 3T3-L1 cells. This study demonstrated that IL-33 was an important regulator of preadipocyte differentiation and inhibited adipogenesis by regulating the Wnt/β-catenin/PPAR-γ signaling pathway, which provided a new insight for further research on IL-33 as a new intervention target for metabolic disorders. Show less
📄 PDF DOI: 10.1186/s12967-024-05180-0
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Yangang Pei, Qihan Xue, Peng Shu +8 more · 2024 · Developmental cell · Elsevier · added 2026-04-24
The plant cell wall is a dynamic structure that plays an essential role in development, but the mechanism regulating cell wall formation remains poorly understood. We demonstrate that two transcriptio Show more
The plant cell wall is a dynamic structure that plays an essential role in development, but the mechanism regulating cell wall formation remains poorly understood. We demonstrate that two transcription factors, SlERF.H5 and SlERF.H7, control cell wall formation and tomato fruit firmness in an additive manner. Knockout of SlERF.H5, SlERF.H7, or both genes decreased cell wall thickness, firmness, and cellulose contents in fruits during early development, especially in double-knockout lines. Overexpressing either gene resulted in thicker cell walls and greater fruit firmness with elevated cellulose levels in fruits but severely dwarf plants with lower gibberellin contents. We further identified that SlERF.H5 and SlERF.H7 activate the cellulose biosynthesis gene SlCESA3 but repress the gibberellin biosynthesis gene GA20ox1. Moreover, we identified a conserved LPL motif in these ERFs responsible for their activities as transcriptional activators and repressors, providing insight into how bifunctional transcription factors modulate distinct developmental processes. Show less
no PDF DOI: 10.1016/j.devcel.2024.03.006
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Guang Wang, Pei Li, Si-Wei Su +4 more · 2024 · Aging · Impact Journals · added 2026-04-24
Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic condition with painful bladder. At present, the pathogenesis of IC/BPS is still unknown. Quercetin (QCT) is a kind of natural flavonoi Show more
Interstitial cystitis/bladder pain syndrome (IC/BPS) is a chronic condition with painful bladder. At present, the pathogenesis of IC/BPS is still unknown. Quercetin (QCT) is a kind of natural flavonoid with wide sources and multiple biological activities. The purpose of this study was to explore the effects of QCT on mRNA expression and related regulatory signal pathways in IC model rats. LL-37 was used to induce the IC/BPS model rats. 20 mg/kg QCT was injected intraperitoneally into IC/BPS rats. ELISA, HE, Masson and TB staining were used to evaluate the level of inflammation and pathology. The concentration of QCT in rats was detected by HPLC. The mRNA sequencing was used to detect the differentially expressed (DE) mRNA in each group. The over-expression experiment of Lpl was carried out in IC/BPS model rats. QCT treatment significantly decreased the level of MPO, IL-1β, IL-6 and TNF-α induced by LL-37 in rats, and alleviated bladder injury and mast cell degranulation. There were significant differences in mRNA sequencing data between groups, and the hub gene Lpl were screened by Cytohubba. The expression of Lpl was downregulated in IC/BPS rats. QCT intervention promoted Lpl expression. Overexpression of Lpl reduced the bladder injury induced by LL-37, increased GAG level and decreased the expression of MPO, IL-1β, IL-6 and TNF-α. In this study, we provided the DE mRNA in IC/BPS rats treated with QCT, the signaling pathways for DE enrichment, screened out the hub genes, and revealed that Lpl overexpression alleviated IC/BPS model rats. Show less
📄 PDF DOI: 10.18632/aging.205682
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Yao Zheng, Lu Xiaoxian, Jiawen Hu +3 more · 2024 · Chemosphere · Elsevier · added 2026-04-24
Polyethylene microplastics (MPs) of the different sizes may result in different response in fish. Studies showed microorganisms adhered to the surface of MPs have toxicological effect. Juveniles tilap Show more
Polyethylene microplastics (MPs) of the different sizes may result in different response in fish. Studies showed microorganisms adhered to the surface of MPs have toxicological effect. Juveniles tilapia (Oreochromis niloticus, n = 600, 26.5 ± 0.6 g) were dispersed into six groups: the control group (A), 75 nm MP exposed group (B), 7.5 μm group (C) and 750 (D) μm group, 75 nm + 7.5 μm+750 μm group (E) and 75 nm + Chlorella vulgaris group (F), and exposed for 10 and 14 days. The intestinal histopathological change, enzymic activities, and the integrated "omics" workflows containing transcriptomics, proteomics, microbiota and metabolomes, have been performed in tilapia. Results showed that MPs were distributed on the surface of goblet cells, Chlorella group had severe villi fusion without something like intestinal damage, as in other MPs groups. The intestinal Total Cholesterol (TC, together with group E) and Tumor Necrosis Factor α (TNFα, except for group B) contents in group F were significantly increased, cytochrome p450 1a1 (EROD, group B and E) significantly increased, adenosine triphosphate (ATP), lipoprotein lipase (LPL) and caspase 3 (except group B) also significantly increased at 14 d. At 14 days, group E saw considerably higher regulation of the actin cytoskeleton, focal adhesion, insulin signaling pathway, and AGE-RAGE signaling pathway in diabetes complications. Whereas, chlorella enhanced the focal adhesion, cytokine-cytokine receptor interaction, and MAPK signaling pathways. PPAR signaling pathway has been extremely significantly enriched via the proteomics method. Candidatus latescibacteria, C. uhrbacteria, C. abyssubacteria, C. cryosericota significantly decreased caused by MPs of different particle sizes. Carboxylic acids and derivatives, indoles and derivatives, organooxygen compounds, fatty acyls and organooxygen compounds significantly increased with long-term duration, especially PPAR signaling pathway. MPs had a size-dependent long-term effect on histopathological change, gene and protein expression, and gut microbial metabolites, while chlorella alleviates the intestinal histopathological damage via the integrated "omics" workflows. Show less
no PDF DOI: 10.1016/j.chemosphere.2024.141644
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Wei Chang, Jingjing Wang, Yuanqi You +7 more · 2024 · Cancers · MDPI · added 2026-04-24
Hepatocellular carcinoma (HCC), which is the third leading cause of cancer-related mortality in the world, presents a significant medical challenge. Triptolide (TP) has been identified as an effective Show more
Hepatocellular carcinoma (HCC), which is the third leading cause of cancer-related mortality in the world, presents a significant medical challenge. Triptolide (TP) has been identified as an effective therapeutic drug for HCC. However, its precise therapeutic mechanism is still unknown. Understanding the mechanism of action of TP against HCC is crucial for its implementation in the field of HCC treatment. We hypothesize that the anti-HCC actions of TP might be related to its modulation of HCC lipid metabolism given the crucial role that lipid metabolism plays in promoting the progression of HCC. In this work, we first demonstrate that, both in vitro and in vivo, TP significantly reduces lipid accumulation in HCC cells. Additionally, we notice that lipoprotein lipase (LPL) expression is markedly upregulated in HCC, and that its levels are positively connected with the disease's progression. It is interesting to note that TP dramatically reduces LPL activity, which in turn prevents HCC growth and reduces lipid accumulation. Additionally, the effect of TP on LPL is a direct correlation. These results definitely demonstrate that TP protects hepatocytes against abnormal accumulation of lipids by transcriptionally suppressing LPL, which reduces the development of HCC. This newly identified pathway provides insight into the process through which TP exerts its anti-HCC actions. Show less
📄 PDF DOI: 10.3390/cancers16030550
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Yinglin Xu, Ye Gong, Songlin Li +6 more · 2024 · Aquaculture nutrition · added 2026-04-24
The present study explored the effects of inositol on growth performance, body composition, antioxidant performance, and lipid metabolism of largemouth bass (
📄 PDF DOI: 10.1155/2024/9944159
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Meiyao Meng, Yuxiang Cao, Jin Qiu +11 more · 2024 · Metabolism: clinical and experimental · Elsevier · added 2026-04-24
Triglyceride (TG) levels are closely related to obesity, fatty liver and cardiovascular diseases, while the regulatory factors and mechanism for triglyceride homeostasis are still largely unknown. Zin Show more
Triglyceride (TG) levels are closely related to obesity, fatty liver and cardiovascular diseases, while the regulatory factors and mechanism for triglyceride homeostasis are still largely unknown. Zinc Finger Protein 638 (ZNF638) is a newly discovered member of zinc finger protein family for adipocyte function in vitro. The aim of the present work was to investigate the role of ZNF638 in regulating triglyceride metabolism in mice. We generated ZNF638 adipose tissue specific knockout mice (ZNF638 FKO) by cross-breeding ZNF638 flox to Adiponectin-Cre mice and achieved adipose tissue ZNF638 overexpression via adenoviral mediated ZNF638 delivery in inguinal adipose tissue (iWAT) to examined the role and mechanisms of ZNF638 in fat biology and whole-body TG homeostasis. Although ZNF638 FKO mice showed similar body weights, body composition, glucose metabolism and serum parameters compared to wild-type mice under chow diet, serum TG levels in ZNF638 FKO mice were increased dramatically after refeeding compared to wild-type mice, accompanied with decreased endothelial lipoprotein lipase (LPL) activity and increased lipid absorption of the small intestine. Conversely, ZNF638 overexpression in iWAT reduced serum TG levels while enhanced LPL activity after refeeding in female C57BL/6J mice and obese ob/ob mice. Specifically, only female mice exhibited altered TG metabolism upon ZNF638 expression changes in fat. Mechanistically, RNA-sequencing analysis revealed that the TG regulator angiopoietin-like protein 8 (Angptl8) was highly expressed in iWAT of female ZNF638 FKO mice. Neutralizing circulating ANGPTL8 in female ZNF638 FKO mice abolished refeeding-induced TG elevation. Furthermore, we demonstrated that ZNF638 functions as a transcriptional repressor by recruiting HDAC1 for histone deacetylation and broad lipid metabolic gene suppression, including Angptl8 transcription inhibition. Moreover, we showed that the sexual dimorphism is possibly due to estrogen dependent regulation on ZNF638-ANGPTL8 axis. We revealed a role of ZNF638 in the regulation of triglyceride metabolism by affecting Angptl8 transcriptional level in adipose tissue with sexual dimorphism. Show less
no PDF DOI: 10.1016/j.metabol.2024.155784
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