👤 Mingli Xu

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Also published as: Ai-Guo Xu, Aili Xu, Aimin Xu, Aishi Xu, Aixiao Xu, Andrew Z Xu, Anlong Xu, Anqi Xu, Anton Xu, Aohong Xu, Aoling Xu, Bai-Hui Xu, Baijie Xu, Banglao Xu, Baofeng Xu, Baoping Xu, Bei Xu, Beibei Xu, Beisi Xu, Benhong Xu, Bi-Yun Xu, Biao Xu, Bilian Xu, Bilin Xu, Bin Xu, Bing Xu, Bing-E Xu, Bingfang Xu, Bingqi Xu, Bingqian Xu, Bingqing Xu, Bingxin Xu, Binqiang Xu, Bo Xu, Bocheng Xu, Bojie Xu, Boming Xu, Boqing Xu, C C Xu, C F Xu, Cai Xu, Caiqiu Xu, Caixia Xu, Carrie Xu, Chan Xu, Chang Xu, Chang-Qing Xu, Changde Xu, Changfu Xu, Changlin Xu, Changliu Xu, Changlu Xu, Changwu Xu, Chao Xu, Chaoguang Xu, Chaohua Xu, Chaoqun Xu, Chaoyu Xu, Chen Xu, Chen-Run Xu, Chen-Yang Xu, Cheng Xu, Cheng-Bin Xu, Cheng-Jian Xu, Chengbi Xu, Chengkai Xu, Chengqi Xu, Chengxun Xu, Chengye Xu, Chengyun Xu, Chenhao Xu, Chenjie Xu, Chenqi Xu, Chentong Xu, Chong Xu, Chong-Feng Xu, Chuang Xu, Chuanrui Xu, Chun Xu, Chunhui Xu, Chunjie Xu, Chunlan Xu, Chunli Xu, Chunlin Xu, Chunming Xu, Chunwei Xu, Chunxiao Xu, Chunyan Xu, Chunyu Xu, Cian Xu, Cineng Xu, Cong Xu, Cong-jian Xu, Congjian Xu, Cun Xu, Cunshuan Xu, Cynthia M Xu, D Xu, D-J Xu, Da Xu, Da-Peng Xu, Daichao Xu, Daiqi Xu, Dan Xu, Dandan Xu, Danfeng Xu, Danning Xu, Danping Xu, Danyan Xu, Danyi Xu, Daohua Xu, Dapeng Xu, Daqian Xu, Dawei Xu, De Xu, De-Xiang Xu, Dequan Xu, Dexiang Xu, Di Xu, Di-Mei Xu, Dilin Xu, Ding Xu, Dong Xu, Dong-Hui Xu, Dong-Juan Xu, DongZhu Xu, Dongchen Xu, Donghang Xu, Dongju Xu, Dongjun Xu, Dongke Xu, Dongmei Xu, Enwei Xu, Erping Xu, F F Xu, F Xu, Fang Xu, Fang-Fang Xu, Fang-Yuan Xu, Fangfang Xu, Fanghua Xu, Fangmin Xu, Fangui Xu, Fei Xu, Feilai Xu, Fen Xu, Feng Xu, Feng-Qin Xu, Feng-Xia Xu, Feng-Yuan Xu, Fenghuang Xu, Fengqin Xu, Fengxia Xu, Fengyan Xu, Fengzhe Xu, Flora Mengyang Xu, Fu Xu, Fuyi Xu, G Xu, Gang Xu, Gangchun Xu, Gaosi Xu, Gaoyuan Xu, Genxing Xu, George X Xu, Geyang Xu, Gezhi Xu, Gu-Feng Xu, Guang Xu, Guang-Hong Xu, Guang-Qing Xu, Guanghao Xu, Guangquan Xu, Guangsen Xu, Guangwei Xu, Guangyan Xu, Guangyu Xu, Guanhua Xu, Guanlan Xu, Guanyi Xu, Gui-Ping Xu, Guifa Xu, Guiyun Xu, Guo Xu, Guo-Liang Xu, Guo-Tong Xu, Guo-Xing Xu, Guofeng Xu, Guogang Xu, Guoheng Xu, Guoliang Xu, Guoshuai Xu, Guowang Xu, Guoxu Xu, Guozheng Xu, H Eric Xu, H F Xu, H X Xu, H Y Xu, Haifeng Xu, Haijin Xu, Haikun Xu, Hailey Xu, Hailiang Xu, Haiman Xu, Haimin Xu, Haiming Xu, Haiqi Xu, Haixia Xu, Haixiang Xu, Haiyan Xu, Haiying Xu, Han Xu, Hanchen Xu, Hanfei Xu, Hang Xu, Hanqian Xu, Hanting Xu, Hanyuan Xu, Hao Xu, Haoda Xu, Haonan Xu, Haowen Xu, Haoyang Xu, Haoyu Xu, Heng Xu, Hengyi Xu, Heping Xu, Hong Xu, Hong-Yan Xu, Hong-tao Xu, Hong-wei Xu, Hongbei Xu, Hongbo Xu, Hongen Xu, Hongfa Xu, Hongjian Xu, Hongjiang Xu, Hongle Xu, Hongli Xu, Honglin Xu, Hongmei Xu, Hongming Xu, Hongrong Xu, Hongtao Xu, Hongwei Xu, Hongwen Xu, Hongxia Xu, Hongyan Xu, Hongzhi Xu, Houguo Xu, Houxi Xu, Hu Xu, Hua Xu, Huaisha Xu, Huaiyuan Xu, Huajun Xu, Huan Xu, Huaxiang Xu, Hui Ming Xu, Hui Xu, Hui-Lian Xu, HuiTing Xu, Huihui Xu, Huimian Xu, Huiming Xu, Huiqiong Xu, Huixuan Xu, Iris M J Xu, J T Xu, J Xu, Janfeng Xu, Jason Xu, Jia Xu, Jia-Chen Xu, Jia-Li Xu, Jia-Mei Xu, Jia-Xin Xu, Jia-Yue Xu, Jiaai Xu, Jiacheng Xu, Jiachi Xu, Jiahong Xu, Jiahui Xu, Jiajia Xu, Jiajie Xu, Jiake Xu, Jiali Xu, Jialin Xu, Jialu Xu, Jiaming Xu, Jian Hua Xu, Jian Xu, Jian-Guang Xu, Jiancheng Xu, Jianfeng Xu, Jiang Xu, Jiangang Xu, Jianguang Xu, Jianguo Xu, Jianhua Xu, Jianing Xu, Jianjuan Xu, Jianliang Xu, Jianming Xu, Jianping Xu, Jianqiu Xu, Jianwei Xu, Jianxin Xu, Jianyong Xu, Jianzhong Xu, Jiapei Xu, Jiapeng Xu, Jiaqi Xu, Jiaqian Xu, Jiaqin Xu, Jiawei Xu, Jiaying Xu, Jiayunzhu Xu, Jie Xu, Jie-Hua Xu, Jiean Xu, Jielin Xu, Jin Xu, Jinchao Xu, Jinfeng Xu, Jing Xu, Jing-Yi Xu, Jing-Ying Xu, Jing-Yu Xu, Jinghong Xu, Jinghua Xu, Jingjie Xu, Jingjing Xu, Jingjun Xu, Jinguo Xu, Jingya Xu, Jingyi Xu, Jingying Xu, Jingyu Xu, Jingzhou Xu, Jinhe Xu, Jinhua Xu, Jinjian Xu, Jinjie Xu, Jinjin Xu, Jinsheng Xu, Jinshu Xu, Jinsong Xu, Jinxian Xu, Jinxin Xu, Jinyi Xu, Jinying Xu, Jinyu Xu, Jinyuan Xu, Jishu Xu, Jixuan Xu, Jiyi Xu, Jiyu Xu, Julie Xu, Jun Xu, Jun-Chao Xu, Junchang Xu, Junfei Xu, Junfeng Xu, Junjie Xu, Junnv Xu, Kai Xu, Kaihao Xu, Kailian Xu, Kaishou Xu, Kaixiang Xu, Kaiyue Xu, Ke Xu, Keke Xu, Keli Xu, Kelin Xu, Keman Xu, Keshu Xu, Kewei Xu, Kexin Xu, Keyun Xu, Kuanfeng Xu, Kun Xu, L Xu, Laizhi Xu, Lanjin Xu, Lei Xu, Leilei Xu, Leisheng Xu, Leiting Xu, Leiyu Xu, Leyuan Xu, Li Xu, Li-Jun Xu, Li-Li Xu, Li-Ling Xu, Li-Wei Xu, Li-Yan Xu, Li-Zhi Xu, Lian-Wei Xu, Liang Xu, Lianjun Xu, Libin Xu, Lichi Xu, Lidan Xu, Lifen Xu, Lihui Xu, Lijiao Xu, Lijuan Xu, Lijun Xu, Lili Xu, Limin Xu, Lin Xu, Ling Xu, Lingjuan Xu, Lingli Xu, Lingling Xu, Lingna Xu, Lingxiang Xu, Lingyan Xu, Lingyang Xu, Lingyao Xu, Lingyi Xu, Linna Xu, Linyan Xu, Liping Xu, Liqun Xu, Lisha Xu, Lisi Xu, Liu Xu, Liwen Xu, Liyi Xu, Long Xu, Longfei Xu, Longsheng Xu, Lu Xu, Lu-Lu Xu, Lubin Xu, Lun-Shan Xu, Luyi Xu, M Xu, M-Y Xu, Mai Xu, Man Xu, Manman Xu, Manyi Xu, Mao Xu, Maochang Xu, Maodou Xu, Maotian Xu, Mei Xu, Mei-Jun Xu, Meifang Xu, Meifeng Xu, Meishu Xu, Meixi Xu, Meiyu Xu, Meng Xu, Mengjie Xu, Mengjun Xu, Mengmeng Xu, Mengping Xu, Mengqi Xu, Mengru Xu, Mengsi Xu, Mengyi Xu, Mengying Xu, Mengyue Xu, Miao Xu, Miaomiao Xu, Min Jie Xu, Min Xu, Min-Xuan Xu, Ming Xu, Ming-Jiang Xu, Ming-Zhu Xu, Mingcong Xu, Minghao Xu, Minghong Xu, Mingjie Xu, Minglan Xu, Mingliang Xu, Mingming Xu, Mingqian Xu, Mingyuan Xu, Mingzhu Xu, Minxuan Xu, Mu Xu, N Y Xu, Nan Xu, Nannan Xu, Nathan Xu, Nenggui Xu, Ning Xu, Ning'an Xu, Ningda Xu, Nong Xu, Nuo Xu, Pan Xu, Panpan Xu, Pao Xu, Peidi Xu, Peigang Xu, Peiwei Xu, Peiyu Xu, Peng Xu, Peng-Ju Xu, Peng-Yuan Xu, Pengfei Xu, Penghui Xu, Pengjie Xu, Pengli Xu, Pin-Xian Xu, Ping Xu, Pingwen Xu, Pu Xu, Q P Xu, Qi Xu, Qi-Qi Xu, Qian Xu, Qian-Fei Xu, Qianghua Xu, Qianhui Xu, Qianlan Xu, Qianqian Xu, Qianzhu Xu, Qiaoshi Xu, Qihang Xu, Qikui Xu, Qiming Xu, Qin Xu, Qin-Zhi Xu, Qing Xu, Qing-Wen Xu, Qing-Yang Xu, Qingchan Xu, Qingheng Xu, Qinghua Xu, Qingjia Xu, Qingqing Xu, Qingqiu Xu, Qingwen Xu, Qingxia Xu, Qingyuan Xu, Qinli Xu, Qinwen Xu, Qiong Xu, Qiongying Xu, Qiu-Han Xu, Qiuhong Xu, Qiuhui Xu, Qiulin Xu, Qiushi Xu, Qiuyu Xu, Qiuyue Xu, Qiuyun Xu, Quanzhong Xu, Ran Xu, Rang Xu, Ren Xu, Ren-He Xu, Renfang Xu, Renshi Xu, Renyuan Xu, Richard H Xu, Rong Xu, Rongbin Xu, Rongrong Xu, Rongying Xu, Ru-xiang Xu, Rui Xu, Rui-Hua Xu, Rui-Ming Xu, Rui-Xia Xu, Ruifeng Xu, Ruiling Xu, Run-Xiang Xu, Runhao Xu, Ruohong Xu, Ruonan Xu, Ruxiang Xu, S Xu, Shan Xu, Shan-Rong Xu, Shan-Shan Xu, Shang-Fu Xu, Shang-Rong Xu, Shanhai Xu, Shanqi Xu, Shanqiang Xu, Shanshan Xu, Shaonian Xu, Shaoqi Xu, Shendong Xu, Sheng-Qian Xu, Shengen Xu, Shengjie Xu, Shengtao Xu, Shengyu Xu, Shi-Na Xu, Shihao Xu, Shihui Xu, Shiliyang Xu, Shimeng Xu, Shiqing Xu, Shiwen Xu, Shiyao Sherrie Xu, Shiyi Xu, Shiyun Xu, Shoujia Xu, Shu-Xian Xu, Shu-Zhen Xu, Shuai Xu, Shuaili Xu, Shuang Xu, Shuangbing Xu, Shude Xu, Shufen Xu, Shuhua Xu, Shuiyang Xu, Shujing Xu, Shun Xu, Shunjiang Xu, Shuqia Xu, Shutao Xu, Shuwan Xu, Shuwen Xu, Shuxiang Xu, Sifan Xu, Sihua Xu, Siqun Xu, Song Xu, Song-Hui Xu, Song-Song Xu, Songli Xu, Songsong Xu, Steven Jing-Liang Xu, Suling Xu, Suo-Wen Xu, Suowen Xu, Suoyu Xu, Sutong Xu, T Xu, Tan Xu, Tao Xu, Tengfei Xu, Tengxiao Xu, Tengyun Xu, Tian Xu, Tian-Le Xu, Tian-Rui Xu, Tian-Ying Xu, TianBo Xu, Tiancheng Xu, Tianfeng Xu, Tianli Xu, Tianmin Xu, Tiantian Xu, Tianxiang Xu, Tianyi Xu, Tianyu Xu, Tieshan Xu, Ting Xu, Ting-Xin Xu, Tingting Xu, Tingxuan Xu, Tong Xu, Tongda Xu, Tonghong Xu, Tongtong Xu, Tongxin Xu, Tongyang Xu, W M Xu, W W Xu, W Xu, Wan-Ting Xu, Wancheng Xu, Waner Xu, Wanfu Xu, Wang-Dong Xu, Wang-Hong Xu, Wangdong Xu, Wanhai Xu, Wanqi Xu, Wanting Xu, Wanwan Xu, Wanxue Xu, Wei Xu, Weide Xu, Weidong Xu, Weifeng Xu, Weihai Xu, Weihong Xu, Weijie Xu, Weilan Xu, Weili Xu, Weiming Xu, Weiqun Xu, Weixia Xu, Weiyong Xu, Weizhi Xu, Wen Xu, Wen-Hao Xu, Wen-Hui Xu, Wen-Juan Xu, Wen-Xiong Xu, Wenbin Xu, Wenchun Xu, Wenhao Xu, Wenhuan Xu, Wenhui Xu, Wenjie Xu, Wenjing Xu, Wenjuan Xu, Wenjun Xu, Wenlong Xu, Wenming Xu, Wenping Xu, Wenqi Xu, Wenqing Xu, Wentao Xu, Wenwen Xu, Wenwu Xu, Wenxin Xu, Wenxuan Xu, Wenyan Xu, Wenyuan Xu, Wenzhuo Xu, X S Xu, X Xu, Xia Xu, Xia-Jing Xu, Xiang Xu, Xiang-Min Xu, Xiang-liang Xu, Xiangbin Xu, Xianghong Xu, Xiangshan Xu, Xiangyu Xu, Xianli Xu, Xiao Le Xu, Xiao Xu, Xiao-Dan Xu, Xiao-Hua Xu, Xiao-Hui Xu, Xiao-Lin Xu, Xiao-Shan Xu, Xiaobo Xu, Xiaocheng Xu, Xiaofang Xu, Xiaofeng Xu, Xiaoge Xu, Xiaohan Xu, Xiaohong Ruby Xu, Xiaohui Xu, Xiaojiang Xu, Xiaojiao Xu, Xiaojin Xu, Xiaojing Xu, Xiaojuan Xu, Xiaojun Xu, Xiaoke Xu, Xiaolei Xu, Xiaoli Xu, Xiaolin Xu, Xiaolong Xu, Xiaolu Xu, Xiaomeng Xu, Xiaoming Xu, Xiaopeng Xu, Xiaoqin Xu, Xiaoshuang Xu, Xiaotao Xu, Xiaoting Xu, Xiaowen Xu, Xiaowu Xu, Xiaoya Xu, Xiaoyan Xu, Xiaoyang Xu, Xiaoyin Xu, Xiaoyu Xu, Xiayun Xu, Xihui Xu, Xin Xu, Xin-Rong Xu, Xingmeng Xu, Xingsheng Xu, Xingshun Xu, Xingyan Xu, Xingyu Xu, Xingzhi Xu, Xinjie Xu, Xinxuan Xu, Xinyi Xu, Xinyin Xu, Xinyu Xu, Xinyuan Xu, Xinyue Xu, Xinyun Xu, Xiongfei Xu, Xiqi Xu, Xirui Xu, Xiufeng Xu, Xizhan Xu, Xizheng Xu, Xu Xu, Xuan Xu, Xuanqi Xu, Xuegong Xu, Xuejin Xu, Xuejun Xu, Xueni Xu, Xun Xu, Xuting Xu, Y Xu, Ya'nan Xu, Ya-Nan Xu, Ya-Peng Xu, Ya-Ru Xu, Ya-lin Xu, Yali Xu, Yaling Xu, Yan Xu, YanFeng Xu, Yana Xu, Yanan Xu, Yanchang Xu, Yancheng Xu, Yanfei Xu, Yang Xu, Yangbin Xu, Yangliu Xu, Yangxian Xu, Yangyang Xu, Yanjun Xu, Yanli Xu, Yanling Xu, Yanming Xu, Yanni Xu, Yanqi Xu, Yanquan Xu, Yanwu Xu, Yanyan Xu, Yanyang Xu, Yanyong Xu, Yanzhe Xu, Yao Xu, Yaobo Xu, Yaowen Xu, Yaozeng Xu, Yaping Xu, Yaqi Xu, Yaqin Xu, Yaru Xu, Yawei Xu, Yayun Xu, Ye Xu, Yechun Xu, Yeqiu Xu, Yetao Xu, Yi Ran Xu, Yi Xu, Yi-Huan Xu, Yi-Liang Xu, Yi-Ni Xu, Yi-Tong Xu, Yi-Xian Xu, Yibin Xu, Yichi Xu, Yidan Xu, Yifan Xu, Yifeng Xu, Yigang Xu, Yihua Xu, Yimeng Xu, Yiming Xu, Yin Xu, Yinfeng Xu, Ying Xu, Yingju Xu, Yingli Xu, Yinglin Xu, Yingna Xu, Yingqianxi Xu, Yingzheng Xu, Yinhe Xu, Yinjie Xu, Yinli Xu, Yinxia Xu, Yinying Xu, Yiquan Xu, Yiting Xu, Yitong Xu, Yixin Xu, Yiyi Xu, Yong Xu, Yong-Nan Xu, Yongfeng Xu, Yongjian Xu, Yongmei Xu, Yongqing Xu, Yongsheng Xu, Yongsong Xu, You-Song Xu, Youjia Xu, Youping Xu, Youzhi Xu, Yu Xu, Yu-Fen Xu, Yu-Ming Xu, Yu-Peng Xu, Yu-Ping Xu, Yu-Xin Xu, Yuan Xu, Yuanfeng Xu, Yuanhong Xu, Yuanwei Xu, Yuanyuan Xu, Yuanzhi Xu, Yuanzhong Xu, Yubin Xu, Yuchen Xu, Yucheng Xu, Yue Xu, Yuejuan Xu, Yuerong Xu, Yuexin Xu, Yuexuan Xu, Yueyue Xu, Yuhan Xu, Yuheng Xu, Yujie Xu, Yuli Xu, Yuling Xu, Yun Xu, Yun-Teng Xu, Yunfang Xu, Yunfei Xu, Yungen Xu, Yunhe Xu, Yunjian Xu, Yunxi Xu, Yunxuan Xu, Yunyi Xu, Yuping Xu, Yurui Xu, Yushan Xu, Yuting Xu, Yuxiang Xu, Yuyang Xu, Yuzhen Xu, Yuzhi Xu, Yuzhong Xu, Z Xu, Zaibin Xu, Zaihua Xu, Zaikun Xu, Zaoyi Xu, Ze-Jun Xu, Zeao Xu, Zebang Xu, Zefeng Xu, Zejun Xu, Zekuan Xu, Zelin Xu, Zengliang Xu, Zeqing Xu, Zesheng Xu, Zetan Xu, Zeya Xu, Zeyu Xu, Zhan Xu, Zhanchi Xu, Zhanqiong Xu, Zhanyu Xu, Zhaofa Xu, Zhaojun Xu, Zhaoyao Xu, Zhe Xu, Zhen-Guo Xu, Zheng Xu, Zheng-Fan Xu, Zheng-Hong Xu, Zhengang Xu, Zhengshui Xu, Zhenming Xu, Zhenyu Xu, Zhenzhou Xu, Zhi Ping Xu, Zhi Xu, Zhi-Feng Xu, Zhi-Qing David Xu, Zhi-Zhen Xu, Zhicheng Xu, Zhidong Xu, Zhigang Xu, Zhihua Xu, Zhijie Xu, Zhiliang Xu, Zhilong Xu, Zhipeng Xu, Zhiqiang Xu, Zhiru Xu, Zhiting Xu, Zhiwei Xu, Zhixian Xu, Zhiyang Xu, Zhiyao Xu, Zhizhen Xu, Zhong Xu, Zhong-Hua Xu, Zhonghui Xu, Zhongwei Xu, Zhuangzhuang Xu, Zhunan Xu, Zi-Hua Xu, Zi-Xiang Xu, Zichuan Xu, Zifan Xu, Zihao Xu, Zihe Xu, Zihua Xu, Ziqi Xu, Ziwei Xu, Zixuan Xu, Ziyang Xu, Ziye Xu, Ziyu Xu, Zongli Xu, Zongren Xu, Zongzhen Xu, Zuojun Xu, Zuyuan Xu
articles
Ruofan Shi, Xiaohao Ruan, Qijun Du +7 more · 2025 · Cancer medicine · Wiley · added 2026-04-24
Single nucleotide polymorphisms (SNPs) located in the genes participating in the steroid hormone metabolism pathway may influence the outcomes of androgen deprivation therapy (ADT) in prostate cancer Show more
Single nucleotide polymorphisms (SNPs) located in the genes participating in the steroid hormone metabolism pathway may influence the outcomes of androgen deprivation therapy (ADT) in prostate cancer (PCa) patients, but findings on the Chinese population remain limited. A multicentric cohort of 301 Chinese PCa patients receiving first-line ADT was enrolled. Germline SNPs located in 62 steroid hormone metabolism-related genes were analyzed for associations with time to ADT failure using multivariate Cox regression. Important expression quantitative trait loci (eQTLs) were discovered. Four SNPs were significantly associated with time to ADT failure: rs36119043 in AKR1D1 (hazard ratio, HR = 2.02, 95% confidence interval, 95% CI: 1.44-2.85, p = 5.72 × 10 SNPs in the steroid hormone metabolism pathway can predict time to ADT failure in Chinese PCa patients, supporting their potential role for drug response and pharmacogenomic stratification. Show less
📄 PDF DOI: 10.1002/cam4.71351
HSD17B12
Min Wang, Chong Xu, Xiaoshan Du +7 more · 2025 · Molecular therapy. Nucleic acids · Elsevier · added 2026-04-24
Ischemic stroke (IS) is a major cause of disability and mortality, but its genetic basis remains poorly understood. This study integrates data from three large-scale genome-wide association studies (G Show more
Ischemic stroke (IS) is a major cause of disability and mortality, but its genetic basis remains poorly understood. This study integrates data from three large-scale genome-wide association studies (GWASs), the GWAS Catalog, MEGASTROKE, and Open GWAS, to identify novel genetic loci linked to IS. Our meta-analysis revealed 124 new IS-associated loci, with enrichment in genes involved in cerebrovascular function, inflammation, and metabolism. Candidate genes like Show less
📄 PDF DOI: 10.1016/j.omtn.2025.102633
HSD17B12
Yi-Shan Sun, Lei Zhao, Cheng-Li Zheng +11 more · 2025 · Zoological research · added 2026-04-24
Mammalian scent glands mediate species-specific chemical communication, yet the mechanistic basis for convergent musk production remain incompletely understood. Forest musk deer and muskrat have indep Show more
Mammalian scent glands mediate species-specific chemical communication, yet the mechanistic basis for convergent musk production remain incompletely understood. Forest musk deer and muskrat have independently evolved specialized musk-secreting glands, representing a striking case of convergent evolution. Through an integrated multi-omics approach, this study identified cyclopentadecanone as a shared key metabolic precursor in musk from both forest musk deer and muskrat, although downstream metabolite profiles diverged between the two lineages. Single-cell RNA sequencing revealed that these specialized apocrine glands possessed unique secretory architecture and exhibited transcriptional profiles associated with periodic musk production, distinct from those in conventional apocrine glands. Convergent features were evident at the cellular level, where acinar, ductal, and basal epithelial subtypes showed parallel molecular signatures across both taxa. Notably, acinar cells in both species expressed common genes involved in fatty acid and glycerolipid metabolism (e.g., Show less
📄 PDF DOI: 10.24272/j.issn.2095-8137.2025.094
HSD17B12
Yu Cai, Hui Xu, Kaiping Deng +8 more · 2025 · International journal of biological macromolecules · Elsevier · added 2026-04-24
Dominant follicular development and atresia are governed by the proliferation of granulosa cells (GCs), a process influenced by the delicate balance between apoptosis and autophagy. Oxidative stress, Show more
Dominant follicular development and atresia are governed by the proliferation of granulosa cells (GCs), a process influenced by the delicate balance between apoptosis and autophagy. Oxidative stress, a pivotal catalyst of GCs apoptosis, modulates gene expression through epigenetic mechanisms, including chromatin remodeling. Nevertheless, the regulatory mechanisms underpinning GCs functionality in relation to prolificacy remain inadequately elucidated. In this study, we discovered that the chromatin accessibility of nuclear receptor subfamily 1 group D member 1 (NR1D1) was markedly enhanced in dominant follicular GCs from low-prolificacy sheep, as evidenced by Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq), which correlated with elevated NR1D1 transcript levels. Remarkably, NR1D1 emerged as a novel regulator of follicular development, exhibiting heightened expression in dominant follicles. The overexpression of NR1D1 induced cell cycle arrest, autophagy activation, and mitochondrial dysfunction via the AMPK pathway, while its knockdown fostered GCs survival and functionality. Furthermore, NR1D1 inhibits the transcription of HSD17B12, thereby contributing to oxidative stress (ROS)-induced apoptosis, as demonstrated by CUT&Tag-qPCR and dual luciferase assays. The downregulation of HSD17B12 partially alleviated the effects of NR1D1 knockdown on GCs functionality. These findings indicate that NR1D1 orchestrates GCs proliferation and apoptosis through the suppression of HSD17B12 and the activation of the AMPK pathway, establishing NR1D1 as a novel transcription factor implicated in follicular development and ovarian function, with significant implications for prolificacy. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.141271
HSD17B12
Yifan Cai, Hongxia Tang, Wenwen Tang +12 more · 2025 · Journal of inflammation research · added 2026-04-24
Coronary artery disease (CAD) is an immune-mediated disorder driven by dysregulated T cell responses. Interleukin-27 (IL-27) has immunoregulatory properties, but its role in CAD remains unclear. This Show more
Coronary artery disease (CAD) is an immune-mediated disorder driven by dysregulated T cell responses. Interleukin-27 (IL-27) has immunoregulatory properties, but its role in CAD remains unclear. This study is the first to investigate the effects of IL-27 on CD4⁺LAP⁺ T cells in CAD and to explore its interaction with interleukin-2 (IL-2) in modulating immune imbalance. CAD severity was quantified by the Gensini score. Plasma IL-27 and oxidized low-density lipoprotein (ox-LDL) were measured by ELISA. Flow cytometry assessed CD4⁺ T cell subsets, while qRT-PCR and Western blot evaluated lineage-specific transcription factors. IL-27 levels were elevated in acute coronary syndrome and correlated with ox-LDL and Gensini scores. Patients with severe CAD showed a Th1/Th17-dominant profile and reductions in Th2, CD4⁺LAP⁺, and Tregs. In vitro, IL-27 promoted Th1 differentiation via T-bet/IFN-γ upregulation and suppressed Th2, Th17, and regulatory subsets, counteracting IL-2-induced expansion of Tregs and CD4⁺LAP⁺ cells. These effects were dose dependent and favored pro-inflammatory responses. IL-27 drives immune imbalance in CAD by reinforcing Th1 polarization and antagonizing IL-2-mediated regulation. Beyond mechanistic insights, these findings identify IL-27 as a potential biomarker for disease severity and a candidate therapeutic target in CAD. Show less
📄 PDF DOI: 10.2147/JIR.S545568
IL27
Guomei Yang, Luoquan Ao, Qing Zhao +10 more · 2025 · Cell communication and signaling : CCS · BioMed Central · added 2026-04-24
Sepsis, a life-threatening organ dysfunction caused by dysregulated host responses to infection, has emerged as a leading cause of mortality in ICU patients. Macrophages, crucial effector cells in inn Show more
Sepsis, a life-threatening organ dysfunction caused by dysregulated host responses to infection, has emerged as a leading cause of mortality in ICU patients. Macrophages, crucial effector cells in innate immunity, play pivotal regulatory roles in sepsis pathogenesis. While Programmed death-ligand 1 (PD-L1), a key immune checkpoint molecule, is traditionally believed to exert immunosuppressive effects through membrane anchoring, its involvement in macrophage polarization during sepsis remains unclear. This study investigated the spatial distribution of PD-L1 in macrophages and its regulatory effects on inflammatory responses during sepsis. This study investigated PD-L1’s regulatory role in macrophage polarization through RNA sequencing, Immunoprecipitation-mass spectrometry, molecular docking, and site-directed mutagenesis, with preliminary validation in C57BL/6 mice. Using GEO database analysis combined with qRT-PCR and Western blotting, we confirmed elevated PD-L1 expression in sepsis and M1-polarized macrophages. Laser scanning confocal microscopy demonstrated dual localization of PD-L1, appearing both on the plasma membrane and intracellularly within M1 macrophages. RNA sequencing revealed PD-L1’s promotion of M1 polarization through enhanced AIM2 expression in the NOD-like receptor pathway. Integrated analyses employing mass spectrometry, molecular docking, site-directed mutagenesis, and Western blotting demonstrated PD-L1 binding to AIM2, which augmented expression of downstream effector molecules (IL-18 and IFN-γ) and potentiated STAT1 activation. Silencing AIM2 by siRNA or IL-18 antagonism reversed PD-L1-induced M1 markers (IL-27, IL-6, iNOS/NO). PD-L1 was further shown to exacerbate pathological progression in septic mouse models. Our study demonstrated that sepsis-induced PD-L1 overexpression in macrophages exacerbates pathological progression by upregulating AIM2 expression, binding to AIM2 to enhance IL-18 production, which activates STAT1 to drive M1 polarization. The online version contains supplementary material available at 10.1186/s12964-025-02578-1. Show less
📄 PDF DOI: 10.1186/s12964-025-02578-1
IL27
Run-Ze Qin, Su-Yu Peng, Zi-Xin Huang +7 more · 2025 · The international journal of biochemistry & cell biology · Elsevier · added 2026-04-24
Coelonin is a dihydrophenanthrene compound derived from the traditional Chinese medicine Bletilla striata (Thunb.) Reichb.f., which exhibits significant anti-inflammatory activity and effectively inhi Show more
Coelonin is a dihydrophenanthrene compound derived from the traditional Chinese medicine Bletilla striata (Thunb.) Reichb.f., which exhibits significant anti-inflammatory activity and effectively inhibits lipopolysaccharide (LPS)-induced inflammatory responses in RAW264.7 cells. Although previous studies have demonstrated the protective effect of Bletilla striata against LPS-induced acute lung injury (ALI), the potential protective role and underlying molecular mechanisms of its major active component, Coelonin, in ALI remain unclear. In this study, an LPS-induced mouse ALI model was established to systematically evaluate the protective effects of Coelonin on ALI. Furthermore, transcriptomic analysis was utilized to investigate the anti-inflammatory mechanisms mediated by Coelonin through the regulation of non-coding RNA (ncRNA)-associated inflammatory pathways. The results indicated that Coelonin significantly ameliorated LPS-induced pathological damage in lung tissues and markedly reduced the levels of inflammatory markers in bronchoalveolar lavage fluid (BALF). In vitro experiments using the murine alveolar macrophages (MH-S) cell line further confirmed the anti-inflammatory activity of Coelonin. Transcriptome analysis revealed that Coelonin markedly upregulates the expression of the ncRNA Gm27505, which was previously found to be downregulated in a mouse model of Alzheimer's disease. To date, there have been no reports on the biological functions of Gm27505. Bioinformatics analysis and real-time quantitative fluorescence PCR (qPCR) confirmed that this ncRNA is primarily localized within the nucleus. Overexpression of Gm27505 in MH-S cells significantly downregulated the expression of inflammation-related genes such as Il6, Tnfα, Il27, and Ccl3 induced by LPS stimulation. Moreover, overexpression of Gm27505 promoted macrophage polarization toward the M2 phenotype while suppressing M1 polarization. These findings suggest that the ncRNA Gm27505 plays an important biological role and is critically involved in the regulation of inflammatory responses. Coelonin may alleviate LPS-induced ALI in mice by up-regulating Gm27505 expression and modulating macrophage polarization. Therefore, Gm27505 may represent a potential target for the prevention and treatment of ALI, providing new research directions for future therapeutic strategies against related diseases. Show less
no PDF DOI: 10.1016/j.biocel.2025.106871
IL27
Hui Yan, Rui Wang, Suryavathi Viswanadhapalli +35 more · 2025 · Science advances · Science · added 2026-04-24
B cells express many protein ligands, yet their regulatory functions are incompletely understood. We profiled ligand expression across murine B sublineage cells, including those activated by defined r Show more
B cells express many protein ligands, yet their regulatory functions are incompletely understood. We profiled ligand expression across murine B sublineage cells, including those activated by defined receptor signals, and assessed their regulatory capacities and specificities through in silico analysis of ligand-receptor interactions. Consequently, we identified a B cell subset that expressed cytokine interleukin-27 (IL-27) and chemokine CXCL10. Through the IL-27-IL-27 receptor interaction, these IL-27/CXCL10-producing B cells targeted CD40-activated B cells in vitro and, upon induction by immunization and viral infection, optimized antibody responses and antiviral immunity in vivo. Also present in breast cancer tumors and retained there through CXCL10-CXCR3 interaction-mediated self-targeting, these cells promoted B cell PD-L1 expression and immune evasion. Mechanistically, Show less
📄 PDF DOI: 10.1126/sciadv.adx9917
IL27
Martin W LaFleur, Lauren E Milling, Priyamvada Prathima +12 more · 2025 · Nature immunology · Nature · added 2026-04-24
In vivo CRISPR screens in CD8
📄 PDF DOI: 10.1038/s41590-025-02231-6
IL27
Da-Ao Nie, Jiangkun Yu, Wenshan Huang +3 more · 2025 · Molecular immunology · Elsevier · added 2026-04-24
As resident immune surveillance cells within the central nervous system (CNS), microglia exert pivotal biological functions in maintaining CNS homeostasis through dynamic modulation of their prolifera Show more
As resident immune surveillance cells within the central nervous system (CNS), microglia exert pivotal biological functions in maintaining CNS homeostasis through dynamic modulation of their proliferative capacity, chemotactic motility, efferocytosis activity, and biphasic secretory mechanisms involving both neuromodulatory factors and pro-inflammatory mediators. These specialized macrophages not only serve as the first line of defense in innate immunity but also orchestrate the regulation of adaptive immune responses; whose functional status directly governs both the physiological integrity of neural circuits and the progression of pathological outcomes. Notably, in neurodegenerative disease models, microglial functional states exhibit pronounced heterogeneity and are tightly regulated by microenvironmental cues. Upon encountering sustained hyperactivation or functional impairment, these cells precipitate a cascade of deleterious events within the neurovascular unit. Building upon these pathophysiological mechanisms, targeted modulation of microglial polarization equilibrium has emerged as a pivotal research focus in developing innovative neuroprotective therapeutic strategies. This review systematically integrates empirical evidence derived from cutting-edge methodologies-including molecular imaging, single-cell multi-omics profiling, and conditional genetic ablation-to mechanistically dissect the dual regulatory roles of microglia in orchestrating neural homeostatic maintenance and driving pathological progression in neurological disorders. Show less
no PDF DOI: 10.1016/j.molimm.2025.07.014
IL27
Yifeng Mao, Qingqing Chen, Yongpo Jiang +6 more · 2025 · Immunity, inflammation and disease · Wiley · added 2026-04-24
Septic cardiomyopathy (SCM) is a potentially fatal complication of sepsis. In this study, transcriptomic and proteomic analyzes of serum samples from sepsis patients were conducted to uncover the unde Show more
Septic cardiomyopathy (SCM) is a potentially fatal complication of sepsis. In this study, transcriptomic and proteomic analyzes of serum samples from sepsis patients were conducted to uncover the underlying pathological mechanisms and identify potential therapeutic targets for SCM. This retrospective, dual-center study investigated the progression of sepsis to SCM in patients admitted to intensive care units. A total of 50 patients were enrolled and divided into two groups: sepsis with cardiomyopathy (25 cases) and sepsis without cardiomyopathy (25 cases). Co-expression network analysis was employed to elucidate the biological significance of differentially expressed proteins. By integrating proteomic and transcriptomic data, molecular networks were constructed to visualize interactions among key molecules, aiming to enhance data interpretation and support the study's findings. Proteomic analysis identified 216 differentially expressed proteins (Fold change > 1.5, p-value < 0.05) between the two groups. Transcriptomic analysis revealed two proteins, including Interleukin-27 subunit beta (IL-27B) and carbonic anhydrase, co-downregulated in patients with septic cardiomyopathy. IL-27B was associated with the immune response, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis indicated its involvement in the cytokine-cytokine receptor interaction signaling pathway. Comprehensive integrated transcriptomic and proteomic analyzes identified significant changes in protein expression associated with SCM, primarily associated with inflammation-related pathways and amino acid metabolism. These findings provide new insights into the pathological mechanisms of SCM and highlight potential therapeutic targets for its treatment. The Clinical Research Ethics Committee of Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University approved this study, and written informed consent was given by all patients or their legal representatives. (NO.K20201110). Show less
📄 PDF DOI: 10.1002/iid3.70207
IL27
William Stewart, Bin Hu, Fengqiao Li +6 more · 2025 · Journal of controlled release : official journal of the Controlled Release Society · Elsevier · added 2026-04-24
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabete Show more
Obesity, a widespread global health issue affecting millions, is characterized by excess fat deposition and metabolic dysfunction, significantly elevating the risk of comorbidities like type 2 diabetes, cardiovascular disease, and certain cancers, all of which contribute to rising rates of preventable morbidity and mortality. Current approaches to obesity, including lifestyle modifications, and pharmacotherapy, often face limitations such as poor long-term adherence, side effects, and insufficient targeting of the complex, multifactorial pathways underlying the disease. Herein we report a dual, RNA-mediated combinatorial approach using targeting lipid nanoparticles (LNP) for the treatment of obesity. LNPs were co-encapsulated with mRNA encoding Interleukin-27 (mIL-27) to coactivate PGC-1α, PPARα, and UCP-1, thereby promoting adipocyte differentiation and enhancing adaptive thermogenesis within adipocytes, and siRNA targeting Dipeptidyl peptidase-4 (siDPP-4) to silence the primary inhibitory enzyme of GLP-1, and GIP within the incretin system, effectively restoring glucose homeostasis. Following post translational silencing of DPP-4 and upregulation of IL-27 in a diet-induced obesity (DIO) mice model, increased expression of thermogenic biomarkers PGC-1α, PPARα, and UCP-1 was observed at the molecular, protein, and tissue level, and insulin sensitivity was restored. Importantly, this gene modulation led to a 21.1 % reduction of bodyweight after treatment in the DIO model. These findings demonstrate for the first time a dual RNA-mediated combinatorial approach, leveraging liver targeting LNP delivery with synergistic effects from incretin system regulation and induction of adipocyte differentiation and thermogenesis after codelivery of siDPP-4 and mIL-27. This innovative strategy provides a promising alternate framework for addressing obesity and its associated metabolic dysfunction. Show less
no PDF DOI: 10.1016/j.jconrel.2025.113857
IL27
Yun Liu, Xiao Sun, Zhengxu Jia +6 more · 2025 · Purinergic signalling · Springer · added 2026-04-24
Hyperactivation of cutaneous macrophages promotes the development of chronic pain. Stimulation of nociceptive regions promotes neuroplasticity, which affects pain perception and related physiological Show more
Hyperactivation of cutaneous macrophages promotes the development of chronic pain. Stimulation of nociceptive regions promotes neuroplasticity, which affects pain perception and related physiological responses. However, the specific mechanisms by which cutaneous macrophages sense and elicit nociceptive responses are unknown. Here, we exacerbated the reduction of systemic pain threshold after chronic heart failure (CHF) by silencing follistatin-like 1 (FSTL1), especially the abnormal cutaneous nociceptive sensation at PC6 acupoint, the site associated with cardiac involvement pain. The upregulation of P2Y6 and interleukin-27 expression is intimately linked to the activation of skin macrophages. Hyperactivation of P2Y6 receptor (P2Y6R) may be associated with MHC II M1 Show less
no PDF DOI: 10.1007/s11302-025-10088-5
IL27
Li Tao, Shu Wu, Qian Wang +10 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Diabetic foot ulcer (DFU), a serious complication of diabetes, is a life-threatening disease that often leads to lower limb amputation and a shortened lifespan. Interleukin-27 (IL-27) is a member of t Show more
Diabetic foot ulcer (DFU), a serious complication of diabetes, is a life-threatening disease that often leads to lower limb amputation and a shortened lifespan. Interleukin-27 (IL-27) is a member of the IL-12 family and has the potential to exert dual effects on the immune response. The role of IL-27 in diabetic skin wound healing is unknown. The aim of this study was to investigate whether there is abnormal expression of IL-27 in diabetic skin and whether supplementation with IL-27 can promote diabetic wound healing by modulating macrophage polarization. We established a streptozotocin (STZ)-induced diabetic mouse model and constructed diabetic wounds. We assessed protein expression by western blotting (WB) and immunohistochemical (IHC) staining. We also performed hematoxylin-eosin (H&E) staining and Masson's trichrome staining. In the presence of lipopolysaccharide (LPS) and high glucose (HG), we treated the mononuclear macrophage line RAW264.7 and bone marrow-derived macrophages (BMDMs) with IL-27. To assess macrophage polarization, we examined the expression of inducible nitric oxide synthase (iNOS), IL-1β and arginase-1 (Arg-1). To understand the underlying mechanisms, we used macrophage IL-27ra knockout mice to knockout macrophage IL-27 receptors. Our in vivo experiments revealed that the expression of IL-27 in the skin of diabetic mice was significantly decreased and that supplementation with IL-27 promoted diabetic wound healing. In vitro, compared with the LPS group, supplementation with IL-27 alleviated the suppression of multiple cellular functions, such as iNOS and IL-1β expression, cell migration, and phagocytosis, in macrophages after HG exposure. Mechanistically, we found that IL-27 expression was decreased and that the activation of signal transducer and activator of transcription 3 (STAT3) by phosphorylation was inhibited in diabetic skin, leading to an inability of wound macrophages to polarize to an M1 phenotype effectively, which in turn blocked M1-to-M2 polarization of wound macrophages and ultimately delayed wound healing. The present study revealed that supplementation with IL-27 promoted M1-to-M2 polarization of wound macrophages and diabetic wound healing through the IL-27-IL-27Rα-p-STAT3 axis. These findings suggest that IL-27 may be a potential therapeutic target for DFU. Show less
no PDF DOI: 10.1016/j.intimp.2025.114575
IL27
Lu Zhang, Jun Li, Meiqing Feng +8 more · 2025 · International journal of antimicrobial agents · Elsevier · added 2026-04-24
Sepsis is associated with high morbidity and high mortality and has strongly motivated intense studies into its mechanisms. Antibiotics, aimed to eradicate bacteria, have some impact on the immune sys Show more
Sepsis is associated with high morbidity and high mortality and has strongly motivated intense studies into its mechanisms. Antibiotics, aimed to eradicate bacteria, have some impact on the immune system due to anti-inflammatory properties. Tigecycline, an antibiotic of the glycylcycline class, is commonly used for severe infections. This study aimed to investigate tigecycline's mechanism on the inflammatory response of sepsis to find new targets for sepsis treatment. The objective included (i) to observe the changes in inflammatory factors in LPS (lipopolysaccharide) induced septic mice after tigecycline administration, (ii) to detect the effect of tigecycline on macrophages NF-κB (nuclear factor kappa B) signalling. For LPS-induced sepsis in mice and intervention with tigecycline, mice were first injected with tigecycline (6.5 mg/kg) via tail vein followed by LPS (15 mg/kg). Luminex analysis was performed on 16 mediators. NF-κB signalling pathway antibody chip detected the expression of target sites in macrophages of the LPS group and tigecycline + LPS group. Tigecycline has inhibitory effects on LPS-induced inflammatory response in septic mice, decreasing the concentrations of IL (interleukin)-6, IL-27, TNF-α (tumour necrosis factor-α), TNF RII, IFN-γ (interferon-gamma), CCL5/RANTES (CC Motif Chemokine Ligand) while increasing IL-6Rα, IL-10, and TWEAK (TNF-related weak inducer of apoptosis). Tigecycline downregulated phosphorylation levels of key sites JNK (c-Jun N-terminal kinase)1/2/3, p-p65 (s468) and p-p105/p50 (s907) in NF-κB signalling. Tigecycline may inhibit the excessive immune response induced by LPS in sepsis, which may cause a potential protective effect on the host through immune regulation. Show less
no PDF DOI: 10.1016/j.ijantimicag.2025.107496
IL27
Yuehua You, Yuyan Li, Lin Ye +2 more · 2025 · Mediators of inflammation · added 2026-04-24
📄 PDF DOI: 10.1155/mi/6608718
IL27
Meng Xiong, Renjie Luo, Zhijiao Zhang +4 more · 2025 · Inflammation research : official journal of the European Histamine Research Society ... [et al.] · Springer · added 2026-04-24
Acute respiratory distress syndrome (ARDS) is a clinical syndrome characterized by high morbidity and mortality rates. Sepsis-induced ARDS involves excessive inflammatory responses, which are modulate Show more
Acute respiratory distress syndrome (ARDS) is a clinical syndrome characterized by high morbidity and mortality rates. Sepsis-induced ARDS involves excessive inflammatory responses, which are modulated by macrophages. This study aimed to elucidate the effect of Recombinant Mouse IL-27 Protein on macrophage ferroptosis and polarization, as well as its impact on sepsis-induced ARDS. A cecal ligation and puncture (CLP)-induced sepsis model was established using wild-type (WT) or IL27R In vitro, IL-27 alone did not alter the expression of proteins linked to the ferroptosis pathway or macrophage polarization. Contrastingly, the combination of IL-27 with LPS further amplified LPS-induced alterations in the ferroptosis pathway, thereby promoting macrophage M1 polarization and inhibiting M2 polarization. Additionally, IL-27 + LPS increased ROS levels in macrophages. A sepsis-induced ARDS mouse model was then established via CLP. In vivo, IL-27 exacerbated CLP-induced lung injury in WT mice. Additionally, it decreased the expression levels of ferroptosis-related proteins (Nrf2, HO-1, GPX4) and increased those of Ptgs2 in the lung tissue of septic mice. Besides, GSH and SOD levels in lung tissue were also reduced. Moreover, IL-27 also promoted M1 polarization and inhibited M2 polarization in macrophages. In IL27R Oltipraz may alleviate ARDS-related lung injury by up-regulating Nrf2 expression and concurrently inhibiting macrophage ferroptosis. Show less
📄 PDF DOI: 10.1007/s00011-024-01986-2
IL27
Zaibin Xu, Kongyan Wang, Huiyu Hu +3 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Acute pulmonary inflammation is a severe lower respiratory tract infection. Sinensetin (SIN), a polymethoxyflavone with strong anti-inflammatory properties, is known to ameliorate LPS-induced acute in Show more
Acute pulmonary inflammation is a severe lower respiratory tract infection. Sinensetin (SIN), a polymethoxyflavone with strong anti-inflammatory properties, is known to ameliorate LPS-induced acute inflammatory lung injury, but its molecular mechanisms are not fully understood. This study aimed to provide insight into the pharmacological mechanisms of SIN in attenuating acute pulmonary inflammation. In LPS-induced inflammation assays in vivo and in vitro, SIN significantly reduced the mRNA levels of inflammatory genes including MCP-1, ICAM1, Ccl3, Ccl4, Ccl5, Ccl7, Cxcl9, Cxcl10, IL1α, IL1β, IL6, IL11, IL18, IL27, TNF-α, IFN-γ, TLR4, MyD88, F4/80, COX2, iNOS, NLRP3, ASC, JAK2, STAT3, STAT4, and Bcl2l1, as well as increased the mRNA levels of anti-inflammatory genes such as IL4, IL10, and IL12α. Besides, SIN markedly decreased the expression of CD68, TLR4, MyD88, phospho-IκBα (S32/S36), phospho-NF-κB p65 (S536), MCP-1, ICAM1, phospho-JAK2 (Tyr1008), phospho-STAT1 (S727), phospho-STAT3 (Y705), and phospho-STAT4 (Y693), inhibited NF-κB p65 translocation into the nucleus, thereby blocking in combination with STAT transcription factors to induce target gene expression. Further GC-MS/MS and LC-MS/MS metabolomic analysis revealed that SIN significantly increased the abundance of anti-inflammatory metabolites, such as L-alanine, L-carnitine, L-glutamic acid, Glycine, and L-cysteine. In conclusion, the results indicated that SIN attenuated LPS-induced acute pulmonary inflammation by modulating NF-κB p65-mediated immune resistance and STAT3-mediated tissue resilience. All these favorable findings presented critical insights into the remarkable abilities and health benefits of SIN in ameliorating inflammatory lung disease. Show less
no PDF DOI: 10.1016/j.intimp.2025.114101
IL27
Zhigang Lei, Yu Wu, Weijie Xue +15 more · 2025 · Hepatology (Baltimore, Md.) · added 2026-04-24
Disrupting liver immune homeostasis drives inflammation. Recent evidence shifts immunoregulatory focus to hepatocytes, though the mechanisms remain poorly defined. Forkhead box O1 (FoxO1) is a critica Show more
Disrupting liver immune homeostasis drives inflammation. Recent evidence shifts immunoregulatory focus to hepatocytes, though the mechanisms remain poorly defined. Forkhead box O1 (FoxO1) is a critical homeostasis regulator, but its function in liver immune homeostasis is unknown. We aimed to clarify the role of hepatocyte FoxO1 in liver immune homeostasis and inflammation. Human liver FoxO1 expression and its association with inflammation were analyzed in patients with various inflammation-related liver diseases. Hepatocyte-specific Foxo1 knockout (FoxO1 △hepa ) mice were established. Hepatocyte-specific gene interference was employed in alcoholic hepatitis and hepatic schistosomiasis murine models. Transcriptomic, single-cell RNA sequencing, and CUT&Tag analyses were performed to elucidate the underlying mechanisms. Hepatocyte FoxO1 levels in human inflammatory livers declined prevalently and were inversely correlated with inflammation and fibrosis. Around 15-18 weeks after birth, FoxO1 △hepa mice exhibited mild spontaneous hepatic inflammation with natural killer T (NKT) cell and neutrophil accumulation. NKT cell depletion in FoxO1 △hepa mice with alcoholic hepatitis or hepatic schistosomiasis (HS) significantly reduced neutrophil accumulation and protected against liver inflammation and damage. Mechanistically, FoxO1 promoted retinoic acid synthesis to induce hepatocyte CD1d expression, which is necessary for regulating NKT cell apoptosis. Innovatively, decreased JMJD1C expression in hepatocytes caused histone H3 lysine 9 (H3K9) dimethylation at the Foxo1 promoter, repressing its transcription and disrupting local immune homeostasis. Our findings uncover a hitherto unrecognized mechanism for hepatocyte-based control of liver inflammation, in which hepatocyte FoxO1 maintained by JMJD1C restrains local NKT cells and neutrophils via CD1d induction, providing promising targets for inflammatory liver diseases. Show less
no PDF DOI: 10.1097/HEP.0000000000001590
JMJD1C
Yanggang Hong, Jiajun Li, Zhuoyi Du +4 more · 2025 · International journal of surgery (London, England) · added 2026-04-24
Estrogen receptor-positive (ER+) breast cancer is the most common molecular subtype of breast cancer and is strongly influenced by hormonal and environmental factors. Endocrine-disrupting chemicals (E Show more
Estrogen receptor-positive (ER+) breast cancer is the most common molecular subtype of breast cancer and is strongly influenced by hormonal and environmental factors. Endocrine-disrupting chemicals (EDCs), which interfere with hormone signaling, have been suggested to contribute to ER+ breast cancer risk, but causal mechanisms remain unclear. We integrated chemical-gene interaction data from the TEDX and CTD databases with large-scale genomic datasets to investigate the relationship between EDC-regulated gene expression and ER+ breast cancer. A total of 5797 EDC-related genes were identified and filtered using cis-expression quantitative trait loci (cis-eQTL) data from eQTLGen. Mendelian randomization (MR) and colocalization analyses were performed using ER+ breast cancer GWAS summary statistics to assess causal associations and shared genetic signals. Interacting EDCs were mapped to colocalized genes. Among 4207 genes with available cis-eQTLs, 50 showed statistically significant associations (FDR < 0.05) with ER+ breast cancer. Of these, 24 genes, including CIRBP, JMJD1C, and TET2, demonstrated strong evidence of colocalization. Key EDCs, such as bisphenol A and phthalates, were identified to interact with multiple high-risk genes, suggesting potential environmental drivers of ER+ breast cancer. This study provides genetic evidence supporting the causal role of EDC-regulated gene expression in ER+ breast cancer. The integration of MR, colocalization, and chemical-gene networks offers a novel framework for identifying environmentally relevant risk factors and contributes to understanding the gene-environment mechanisms underlying hormone-dependent cancers. Show less
no PDF DOI: 10.1097/JS9.0000000000002642
JMJD1C
Jiahao Guo, Hao Xie, Quanting Yin +8 more · 2025 · Discover oncology · Springer · added 2026-04-24
Although studies have suggested a potential link between the nervous system and prostate cancer, the underlying regulatory mechanisms remain unclear. Therefore, it is crucial to identify the genes inv Show more
Although studies have suggested a potential link between the nervous system and prostate cancer, the underlying regulatory mechanisms remain unclear. Therefore, it is crucial to identify the genes involved in regulating prostate cancer within the nervous system. We utilized eQTL data from eight neural cell types as exposure factors and GWAS data for prostate cancer as outcome events. Mendelian randomization (MR) analyses were performed to identify causative genes associated with prostate, bladder, and renal cancers in Astrocytes, Endothelial cells, Excitatory neurons, Inhibitory neurons, Microglia, Oligodendrocytes, OPCs/COPs, and Pericytes. Bladder and renal cancers were used as controls. Sensitivity analyses (heterogeneity, pleiotropy, and leave-one-out tests) were conducted to ensure reliability. In astrocytes, seven positive genes were identified as being causally related to prostate cancer: KANSL1, AC005670.2, ARL17B, LRRC37A2, LRRC37A, MAPT, and LINC02210. In. Endothelial cells, Inhibitory neuron and Microglia, three genes (LRRC37A2, ARL17B, and KANSL1) were identified as risk genes that are associated with prostate cancer. Four protective genes were identified in excitatory neurons, including LRRC37A2, ARL17B, KANSL1 and LINC02210. In oligodendrocytes, eight genes were identified, with LRRC37A2, ARL17B, and KANSL1 acting as protective factors, while OR2L13, OR2L3, OR2L5, OR2L2, and OR2M4 were identified as risk factors. Additionally, sensitivity analyses showed no heterogeneity or horizontal pleiotropy in the MR results, confirming their reliability and stability. In addition, no positive genes were found in bladder cancer and renal cancer. Our study highlights the role of the nervous system, particularly astrocytes, in regulating prostate cancer. We identified three genes, with LRRC37A2, ARL17B, and KANSL1 emerging as key protective factors. These findings provide potential targets for prostate cancer diagnosis and treatment. The online version contains supplementary material available at 10.1007/s12672-025-03711-9. Show less
📄 PDF DOI: 10.1007/s12672-025-03711-9
KANSL1
Feixiong Cheng, Yayan Feng, Xiaoyu Yang +19 more · 2025 · Research square · added 2026-04-24
Although the 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 tha Show more
Although the 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 both cerebellum and frontal cortex of AD/ADRD patients and normal controls. 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 pinpointed two likely causal genes, 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 three-dimensional (3D) genome data. Via CRISPRi experiments, we found that perturbation of rs4788201 and rs62056801 significantly inhibited the expression of their target genes, SEZ6L2 and KANSL1, in human iPSC-derived neurons. This cell subtype-specific regulatory landscape in the human cerebellum identified here offers 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-6264481/v1
KANSL1
Zhe Han, Yanping Zhu, Zhenhong Xia +9 more · 2025 · NPJ Parkinson's disease · Nature · added 2026-04-24
Magnetic resonance imaging and circulating molecular testing are potential methods for diagnosing and treating Parkinson's disease (PD). However, their relationships remain insufficiently studied. Usi Show more
Magnetic resonance imaging and circulating molecular testing are potential methods for diagnosing and treating Parkinson's disease (PD). However, their relationships remain insufficiently studied. Using genome-wide association summary statistics, we found in the general population a genetic negative correlation between white matter tract mean diffusivity and PD (-0.17 < Rg < -0.11, p < 0.05), and a positive correlation with intracellular volume fraction (0.12 < Rg < 0.2, p < 0.05). Additionally, 1345 circulating genes causally linked with white matter tract diffusivity were enriched for muscle physiological abnormalities (padj < 0.05). Notable genes, including LRRC37A4P (effect size = 15.7, p = 1.23E-55) and KANSL1-AS1 (effect size = -15.3, p = 1.13E-52), were directly associated with PD. Moreover, 23 genes were found linked with genetically correlated PD-IDP pairs (PPH4 > 0.8), including SH2B1 and TRIM10. Our study bridges the gap between molecular genetics, neuroimaging, and PD pathology, and suggests novel targets for diagnosis and treatment. Show less
📄 PDF DOI: 10.1038/s41531-024-00859-z
KANSL1
Xuejin Xu, Zhen Wang · 2025 · Discover oncology · Springer · added 2026-04-24
Head and neck squamous cell carcinoma (HNSC) is a significant global health challenge. While traditional risk factors are well-established, the role of environmental pollutants in HNSC development rem Show more
Head and neck squamous cell carcinoma (HNSC) is a significant global health challenge. While traditional risk factors are well-established, the role of environmental pollutants in HNSC development remains unclear. To investigate the causal relationship between environmental pollution factors and HNSC risk using Mendelian Randomization (MR) analysis. Two-sample MR analysis was performed using genome-wide association study data from the IEU OpenGWAS project and HNSC RNA-seq data from TCGA. Environmental pollution-associated genes (MRGs) were identified and analyzed along with autophagy-related genes (ATGs) in HNSC samples. Cox proportional hazards models were used to develop a clinical prediction model. MR analysis revealed significant causal relationships between nitrogen dioxide air pollution, nitrogen oxides air pollution, PM2.5, and increased HNSC risk. Nine MRGs were identified, with four (IRF4, LINGO1, PTHLH, RSRC1) differentially expressed in HNSC. A six-factor clinical prediction model (IRF4, LINGO1, PTHLH, RSRC1, Age, USP10) showed good predictive performance for HNSC survival (C-index = 0.63, 10-year AUC = 0.761). Tumor mutation burden and immune cell infiltration analyses provided further insights into HNSC biology. This study provides evidence for causal relationships between specific air pollutants and HNSC risk, and identifies potential gene targets for further investigation. The developed clinical prediction model may aid in HNSC prognosis and personalized treatment strategies. Show less
📄 PDF DOI: 10.1007/s12672-025-02009-0
LINGO1
Xinning Dong, Jing Xu, Kejun Du +3 more · 2025 · Neuroreport · added 2026-04-24
This study aimed to examine reticulon 4 (RTN4), neurite outgrowth inhibitor protein expression that changes in high-altitude traumatic brain injury (HA-TBI) and affects on blood-brain barrier's (BBB) Show more
This study aimed to examine reticulon 4 (RTN4), neurite outgrowth inhibitor protein expression that changes in high-altitude traumatic brain injury (HA-TBI) and affects on blood-brain barrier's (BBB) function. C57BL/6J 6-8-week-old male mice were used for TBI model induction and randomized into the normal altitude group and the 5000-m high-altitude (HA) group, each group was divided into control (C) and 8h/12h/24h/48h-TBI according to different times post-TBI. Brain water content (BWC) and modified Neurological Severity Score were measured, RTN4 and autophagy-related indexes (Beclin1, LC3B, and SQSTM1/p62) were detected by western blot, immunofluorescence technique, and PCR in peri-injury cortical tissues. The expression of NgR1, Lingo-1, TROY, P75, PirB, S1PR2, and RhoA receptors' downstream of RTN4 was detected by PCR. HA-TBI caused increased neurological deficits including motor, sensory, balance and reflex deficits, increased BWC, earlier peak RTN4 expression and a longer duration of high expression in peri-injury cortical tissues, and enhanced levels of Beclin1, LC3B, and SQSTM1/p62 to varying degrees. Concurrently, the transcription of S1PR2 and PirB, the main signaling molecules downstream of RTN4, was significantly increased. In HA-TBI's early stages, the increased RTN4 may regulate enhanced autophagic initiation and impaired autolysosome degradation in vascular endothelial cells via S1PR2 receptor activation, thereby reducing BBB function. This suggests that autophagy could be a new target using RTN4 intervention as a clinical HA-TBI mechanism. Show less
no PDF DOI: 10.1097/WNR.0000000000002122
LINGO1
Kaiming Wang, Caihong Liu, Lei Yi +9 more · 2025 · BMC genomics · BioMed Central · added 2026-04-24
Skeletal muscle is the largest tissue in mammals, and it plays a crucial role in metabolism and homeostasis. Skeletal muscle development and regeneration consist of a series of carefully regulated cha Show more
Skeletal muscle is the largest tissue in mammals, and it plays a crucial role in metabolism and homeostasis. Skeletal muscle development and regeneration consist of a series of carefully regulated changes in gene expression. Leiomodin2 (LMOD2) gene is specifically expressed in the heart and skeletal muscle. But the physiological functions and mechanisms of LMOD2 on skeletal muscle development are unknown. In this study, we examined the expression levels of the LMOD2 in porcine tissues and C2C12 cells. LMOD2 is mainly expressed in the heart, followed by skeletal muscle. The expression level of LMOD2 gradually decreased with skeletal muscle growth, but increased after injury. LMOD2 expression levels increased gradually with C2C12 cells proliferation and differentiation. In terms of function, the muscle fiber types were altered after LMOD2 was knocked out in C2C12 cells, MyHC-I and MyHC-2b were inhibited, whereas MyHC-2a and MyHC-2x were promoted. LMOD2 knockout has different effects on LMOD family, LMOD1 expression level was promoted, while LMOD3 was inhibited. Loss of LMOD2 suppressed cell viability and PAX7 protein expression. At the transcriptome level, proliferation-related genes and muscle contraction-related genes were respectively inhibited after LMOD2 knockout. In terms of molecular networks, a series of experiments have shown that MyoG is a transcription factor for LMOD2, while miR-335-3p can negatively regulate LMOD2 expression. We screened ACTC1 as a candidate interacting protein for LMOD2 using protein prediction software and RNA-seq, and Co-IP experiments confirmed the relationship between LMOD2 and ACTC1. In vivo, Lentivirus-mediated LMOD2 knockdown reduces muscle mass. LMOD2 knockdown inhibited MyHC-I mRNA expression, but had no effect on MyHC-2b. The protein expression of MyHC-I, MyHC-2x, and MyHC-2b was suppressed after LMOD2 knockdown. Collectively, our data indicates that LMOD2 knockout inhibits myoblast proliferation and alters muscle fiber types. MyoG is a transcription factor for LMOD2, while miR-335-3p can negatively regulate LMOD2 expression. Moreover, LMOD2 and ACTC1 interact to regulate myogenic differentiation. Our study provides a new target for skeletal muscle development. Show less
📄 PDF DOI: 10.1186/s12864-025-11897-z
LMOD1
Xiao-Dong Li, Jun-Ming Zhu, Qi You +9 more · 2025 · Combinatorial chemistry & high throughput screening · Bentham Science · added 2026-04-24
Bladder cancer (BC) is one of the most common urological malignancies, ranking as the eleventh most common cause of cancer-related deaths worldwide. The lack of specific and sensitive prognostic bioma Show more
Bladder cancer (BC) is one of the most common urological malignancies, ranking as the eleventh most common cause of cancer-related deaths worldwide. The lack of specific and sensitive prognostic biomarkers presents a significant challenge in the early diagnosis and treatment of BC. We used the Gene Expression Omnibus (GEO) dataset GSE13507 and the Cancer Genome Atlas (TCGA) database to screen differentially expressed genes related to BC. By using Weighted Gene Co-expression Network Analysis (WGCNA), two modules associated with BC were investigated in GSE13507 and TCGA. Hub genes were identified through Protein-Protein Interaction (PPI) network analysis and their functions were validated through multiple approaches, including Gene Expression Profiling Interactive Analysis (GEPIA), Western Blotting (WB) assay, Human Protein Atlas (HPA), Oncomine analysis, and quantitative Real-Time PCR (qRTPCR) analysis. Additionally, miRNAs associated with hub gene expression were identified using various databases to predict the progression and prognosis of BC. WCGNA and differential gene expression analysis identified 171 common genes as target genes. Ten genes (MYH11, ACTA2, TPM2, ACTG2, CALD1, MYL9, TPM1, MYLK, SORBS1, and LMOD1) were identified using the PPI tool and the CytoHubba plugin of Cytoscape. The CALD1 and MYLK genes showed a significant prognostic value for overall survival and diseasefree survival in patients with BC. According to the HPA and Oncomine databases, CALD1 and MYLK expression levels were significantly lower in BC tissues than in normal tissues. Additionally, qRT-PCR analysis, WB assay, and immunohistochemical analysis confirmed CALD1 and MYLK as tumor suppressor genes in BC. Furthermore, miR-155 showed a significant positive correlation with MYLK. This study established MYLK as a direct target gene of miR-155, functioning as an actionable survival-related gene correlated with BC development. Show less
no PDF DOI: 10.2174/0113862073352389250407104347
LMOD1
Jiaxin Shi, Bo Peng, Ran Xu +4 more · 2025 · Postgraduate medical journal · Oxford University Press · added 2026-04-24
Gastroesophageal reflux disease (GERD) is a chronic inflammatory gastrointestinal disease, which has no thoroughly effective or safe treatment. Elevated oxidative stress is a common consequence of chr Show more
Gastroesophageal reflux disease (GERD) is a chronic inflammatory gastrointestinal disease, which has no thoroughly effective or safe treatment. Elevated oxidative stress is a common consequence of chronic inflammatory conditions. We employed Summary-data based MR (SMR) analysis to assess the associations between gene molecular characteristics and GERD. Exposure data were the summary-level data on the levels of DNA methylation, gene expression, and protein expression, which obtained from related methylation, expression, and protein quantitative trait loci investigations (mQTL, eQTL, and pQTL). Outcome data, Genome-wide association study (GWAS) summary statistics of GERD, were extracted from the Ong's study (discovery), the Dönertaş's study (replication), and the FinnGen study (replication). Colocalization analysis was performed to determine if the detected signal pairs shared a causative genetic mutation. Oxidative stress related genes and druggable genes were imported to explore oxidative stress mechanism underlying GERD and therapeutic targets of GERD. The Drugbank database was utilized to conduct druggability evaluation. After multi-omics SMR analysis and colocalization analysis, we identified seven key genes for GERD, which were SUOX and SERPING1, DUSP13, SULT1A1, LMOD1, UBE2L6, and PSCA. SUOX was screened out to be the mediator, which suggest that GERD is related to oxidative stress. SERPING1, SULT1A1, and PSCA were selected to be the druggable genes. These findings offered strong support for the identification of GERD treatment targets in the future as well as for the study of the oxidative stress mechanism underlying GERD. Show less
no PDF DOI: 10.1093/postmj/qgae182
LMOD1
Shuiyang Xu, Yunfang Zhou, Mingyu Huang +8 more · 2025 · Frontiers in public health · Frontiers · added 2026-04-24
Health literacy plays an important role in disease prevention and control. The aim of this study is to explore the health literacy patterns and associated factors among residents in Zhejiang Province. Show more
Health literacy plays an important role in disease prevention and control. The aim of this study is to explore the health literacy patterns and associated factors among residents in Zhejiang Province. This study included 56,863 residents aged 15-69 years from the 2024 Zhejiang Province Health Literacy Survey. Latent Profile Analysis (LPA) was used to investigate health literacy patterns, and multinomial logistic regression analysis was employed to identify associated factors. Dominance analysis was performed to compare the relative contribution of the main variables associated with health literacy. The analysis identified three distinct health literacy profiles: low literacy (15.13%), moderate literacy (32.24%), and relatively high literacy (52.63%). The low literacy group was characterized by an older demographic (with an average age of 58.71 years), lower educational attainment (20.72% had no formal education), a higher proportion of farmers (52.93%), and a significant share of low-income individuals (40.98%). Multinomial logistic regression and dominance analysis revealed that education level, age, and occupation were the most important associated factors of health literacy. The study findings highlighted the heterogeneity in health literacy among various population groups and emphasized the need for targeted interventions. This study provides empirical evidence to inform precision health promotion strategies in developed regions of China. Show less
📄 PDF DOI: 10.3389/fpubh.2025.1734757
LPA
Yuan Tian, Zhe Jia, Na Li +5 more · 2025 · Frontiers in psychology · Frontiers · added 2026-04-24
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not Show more
Psychological empowerment is a critical factor for employee work well-being, particularly within high-stress professions such as policing. However, experiences of empowerment among individuals are not uniform. This study aims to identify distinct profiles of psychological empowerment among police officers and to examine their associations with perceived coworker support and work well-being. A person-centered approach was adopted. Data were collected from 505 Chinese police officers. Latent Profile Analysis (LPA) was employed to identify subgroups based on their psychological empowerment patterns. The analysis revealed two distinct profiles: a "Globally Disempowered" profile and a "Globally Empowered" profile. Perceived emotional support from coworkers was a significant predictor of profile membership, where higher levels of support increased the likelihood of belonging to the empowered group. Furthermore, officers in the high empowerment profile reported significantly greater work well-being compared to those in the low empowerment profile. The findings underscore the heterogeneity in psychological empowerment experiences within the policing context. They emphasize the pivotal role of fostering emotional peer support as a means to enhance officers' psychological empowerment and, consequently, their work well-being. Practical implications for organizational interventions are discussed. Show less
📄 PDF DOI: 10.3389/fpsyg.2025.1694664
LPA