👤 Wencheng Zhu

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1043
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741
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Also published as: Afang Zhu, Aijun Zhu, Aiqing Zhu, Allen Zhu, An Zhu, An-Qi Zhu, Anding Zhu, Bao-Sheng Zhu, Baoli Zhu, Biao Zhu, Bin Zhu, Bing Zhu, Bingzi Zhu, Binna Zhu, Biying Zhu, Bo Zhu, Bochen Zhu, Boheng Zhu, Bokai Zhu, C-H Zhu, Caifeng Zhu, Can Zhu, Cansheng Zhu, Chan-Yan Zhu, Chang Qing Zhu, Changhong Zhu, Changsheng Zhu, Changyan Zhu, Changyou Zhu, Chao Zhu, Chaofeng Zhu, Chaojun Zhu, Chaonan Zhu, Chaowang Zhu, Chaoyu Zhu, Chen Zhu, Chen-Tseh Zhu, Chen-Xi Zhu, Chenchen Zhu, Cheng Zhu, Cheng-Gang Zhu, Chenghao Zhu, Chengliang Zhu, Chenglou Zhu, Chenxi Zhu, Chongtao Zhu, Chunhong Zhu, Chunhua Zhu, Chunni Zhu, Chunyan Zhu, Chunyue Zhu, Cong Zhu, Congcong Zhu, Conghua Zhu, Cunle Zhu, D Y Zhu, Da Zhu, Dakai Zhu, Dalong Zhu, Dan Zhu, Dandan Zhu, Danyan Zhu, Danyang Zhu, David C Zhu, Denghui Zhu, Desheng Zhu, Di Zhu, Dingliang Zhu, Dong-Ya Zhu, Dongbing Zhu, Dongdong Zhu, Donghui Zhu, Dongli Zhu, Dongmei Zhu, Dongxu Zhu, Du Zhu, Ethan Y S Zhu, F Y Zhu, Fangcheng Zhu, Fangjie Zhu, Fangmei Zhu, Fangyi Zhu, Fei Zhu, Fei-Feng Zhu, Feiqi Zhu, Feiyan Zhu, Feng Zhu, Fengcai Zhu, Fenglan Zhu, Fenxia Zhu, Fu Zhu, Fuquan Zhu, Gaizhi Zhu, Gaohong Zhu, Gaohui Zhu, Genying Zhu, Gord Guo Zhu, Guangheng Zhu, Guanglin Zhu, Guangshuo Zhu, Guangyu Zhu, Guangzhi Zhu, Guijie Zhu, Guirong Zhu, Guixin Zhu, Guo-Ping Zhu, Guofu Zhu, Guohui Zhu, Guoming Zhu, Guoqiang Zhu, Guoqing Zhu, H P Zhu, H S Zhu, H Zhu, Hai-Bo Zhu, Hai-Chuan Zhu, Hai-Yan Zhu, Haichao Zhu, Haichuan Zhu, Haifeng Zhu, Haihong Zhu, Haijun Zhu, Hailin Zhu, Haiming Zhu, Haitao Zhu, Haixia Zhu, Haiying Zhu, Haizhen Zhu, Han Zhu, Han-Ying Zhu, Han-Yu Zhu, HanYu Zhu, Hang Zhu, Hangbo Zhu, Hanxu Zhu, Hanyong Zhu, Hanzhao Zhu, Hao Zhu, Hao-Jie Zhu, Haohua Zhu, Haojie Zhu, Haojun Zhu, Haoxue Zhu, He Zhu, Heng Zhu, Hengcheng Zhu, Hengshan Zhu, Hong Zhu, Hong-Hu Zhu, Hong-Zhe Zhu, Hongbin Zhu, Hongbo Zhu, Honghong Zhu, Hongmei Zhu, Hongming Zhu, Hongqing Zhu, Hongwen Zhu, Hongyan Zhu, Hongyi Zhu, Houwei Zhu, Hua Zhu, Hua-Long Zhu, Huaiyi Zhu, Hualong Zhu, Huamin Zhu, Huaming Zhu, Huanfeng Zhu, Huang Zhu, Huanxi Zhu, Huapei Zhu, Hui Zhu, Hui-Ling Zhu, Hui-Ting Zhu, Huijuan Zhu, Huilian Zhu, Huiling Zhu, Huimin Zhu, Huiqing Zhu, Huixia Zhu, Huolan Zhu, J W Zhu, J Zhu, J-K Zhu, Jia Zhu, Jia-Hao Zhu, Jia-Hui Zhu, Jia-Yu Zhu, Jiabei Zhu, Jiajie Zhu, Jiajun Zhu, Jiali Zhu, Jialin Zhu, Jiamin Zhu, Jian Zhu, Jian-Fu Zhu, Jian-Hong Zhu, Jian-Kang Zhu, Jian-Min Zhu, Jiang Zhu, Jiang-Jiang Zhu, JiangJiang Zhu, Jianguo Zhu, Jianhong Zhu, Jianhua Zhu, Jianhui Zhu, Jianjun Zhu, Jianli Zhu, Jianlin Zhu, Jianmin Zhu, Jianwei Zhu, Jianyong Zhu, Jiaojiao Zhu, Jiaping Zhu, Jiaqi Zhu, Jiaqiang Zhu, Jiaqing Zhu, Jiayao Zhu, Jiayi Zhu, Jiaying Zhu, Jiayu Zhu, Jie Zhu, Jiejie Zhu, Jifeng Zhu, Jimiao Zhu, Jin Zhu, Jinfeng Zhu, Jing Zhu, Jing-Zhong Zhu, Jingjie Zhu, Jingjing Zhu, Jingwen Zhu, Jingze Zhu, Jinhong Zhu, Jinjin Zhu, Jinpeng Zhu, Jinrong Zhu, Jinwei Zhu, Jinyi Zhu, Jinyun Zhu, Jiyuan Zhu, Ju Zhu, Ju-Fen Zhu, Juanhua Zhu, Juming Zhu, Jun Zhu, Jun-Jie Zhu, Jun-Ming Zhu, Jun-Rong Zhu, Jun-Yi Zhu, Junfeng Zhu, Junji Zhu, Junjia Zhu, Junjie Zhu, Junlong Zhu, Junwei Zhu, Junxian Zhu, Kai Zhu, Kaibin Zhu, Kaicheng Zhu, Kaihua Zhu, Kaina Zhu, Kanglin Zhu, Ke Zhu, Kexuan Zhu, Keyu Zhu, Kezhou Zhu, Kongjun Zhu, Kun Zhu, Kunfeng Zhu, L Y Zhu, Lei Zhu, Leqing Zhu, Li Zhu, Li-Fang Zhu, Li-Zeng Zhu, LiFang Zhu, Liang Zhu, Lianghao Zhu, Liangxi Zhu, Lifeng Zhu, Lihua Julie Zhu, Lijuan Zhu, Lijun Zhu, Limei Zhu, Lin Zhu, Lina Zhu, Linfeng Zhu, Ling Zhu, Lingjun Zhu, Lingpeng Zhu, Lingxiao Zhu, Lingyi Zhu, Lingyun Zhu, Linlin Zhu, Linxin Zhu, Liping Zhu, Liqin Zhu, Liren Zhu, Lixia Zhu, Lixin Zhu, Liyong Zhu, Liyun Zhu, Lizhen Zhu, LongXun Zhu, Lu Zhu, Luoning Zhu, M Zhu, Man Zhu, Maoling Zhu, Mei Zhu, Mei-Dong Zhu, Meili Zhu, Meiqi Zhu, Meizi Zhu, Meng Zhu, Meng-Die Zhu, Mengbo Zhu, Menglin Zhu, Mengmeng Zhu, Mengpei Zhu, Mengyan Zhu, Mengyao Zhu, Mengyi Zhu, Mengyu Zhu, Miaojuan Zhu, Michael X Zhu, Min Zhu, Min-Ling Zhu, Ming An Zhu, Ming Zhu, Ming-An Zhu, Ming-Qiang Zhu, Mingwei Zhu, Mingxia Zhu, Mingyan Zhu, Mingyu Zhu, Mingyue Zhu, Minjia Zhu, Muyuan Zhu, Nan Zhu, Nannan Zhu, Ni Zhu, Ning Zhu, Ningyu Zhu, P Zhu, Paula K Zhu, Pei-Lin Zhu, Peiyu Zhu, Peng Zhu, Peng-Cheng Zhu, Pengcheng Zhu, Pengfei Zhu, Pengju Zhu, Ping Zhu, Pingping Zhu, Qi Zhu, Qian Zhu, Qiancheng Zhu, Qiang Zhu, Qihang Zhu, Qilu Zhu, Qin-Feng Zhu, Qing Zhu, Qing-Ling Zhu, Qing-Ru Zhu, QingTang Zhu, Qingfeng C Zhu, Qinghong Zhu, Qinglan Zhu, Qingru Zhu, Qingxiu Zhu, Qingyun Zhu, Qinxin Zhu, Qinyuan Zhu, Qiongjun Zhu, Qiqi Zhu, Quangang Zhu, Qubo Zhu, Ran Zhu, Rang-Teng Zhu, Ren-Min Zhu, Ronghui Zhu, Rui Zhu, Rui-Fang Zhu, Ruichi Zhu, Ruijie Zhu, Ruijue Zhu, Ruiqi Zhu, Ruiqing Zhu, Ruirui Zhu, Ruixia Zhu, Ruiyang Zhu, Ruiyi Zhu, Runkang Zhu, Runze Zhu, Shaihong Zhu, Shanfeng Zhu, Shankuan Zhu, Shaojin Zhu, Shaoliang Zhu, Shaomin Zhu, Shaoyuan Zhu, Shaoyue Zhu, Shasha Zhu, Shenghua Zhu, Shengmei Zhu, Shengwei Zhu, Shenshen Zhu, Shibai Zhu, Shihui Zhu, Shiqi Zhu, Shirley X Zhu, Shiyu Zhu, Shou-Jun Zhu, Shouan Zhu, Shoujia Zhu, Shuai Zhu, Shuaishuai Zhu, Shuang Zhu, Shujuan Zhu, Si-Tong Zhu, Si-Xian Zhu, Sibo Zhu, Sijia Zhu, Sipin Zhu, Siqi Zhu, Siran Zhu, Siwei Zhu, Song Zhu, Songcheng Zhu, Suhui Zhu, Suiqiang Zhu, Sunting Zhu, Tao Zhu, Teng-Teng Zhu, Tengfei Zhu, Tengteng Zhu, Tian Zhu, Tian-gang Zhu, Tiangang Zhu, Tianhang Zhu, Tianqing Zhu, Tianwen Zhu, Tianyi Zhu, Tianyue Zhu, Tiebing Zhu, Tingting Zhu, Tong Zhu, Tongyu Zhu, Wan Zhu, Wanglong Zhu, Wanlin Zhu, Wei Zhu, Wei-Fen Zhu, Wei-Guo Zhu, Wei-Rong Zhu, Wei-Zhong Zhu, Weiguo Zhu, Weihao Zhu, Weiliang Zhu, Weimin Zhu, Weiming Zhu, Weiwei Zhu, Weiyao Zhu, Weiyou Zhu, Weiyu Zhu, Wen Zhu, Wen-Hua Zhu, Wen-Qiang Zhu, Wen-Qing Zhu, Wenbin Zhu, Wenge Zhu, Wengen Zhu, Wenhao Zhu, Wenjian Zhu, Wenjiao Zhu, Wenjie Zhu, Wenjuan Zhu, Wenjun Zhu, Wenping Zhu, Wenqiang Zhu, Wentao Zhu, Wenye Zhu, Wenyuan Zhu, Wenzhen Zhu, X L Zhu, X Zhu, Xi Zhu, Xi-Hai Zhu, Xi-Wen Zhu, Xialin Zhu, XianJie Zhu, Xiang-Yang Zhu, Xiang-Yu Zhu, Xiangjie Zhu, Xianqiong Zhu, Xiao Zhu, Xiao-Chen Zhu, Xiao-Cong Zhu, Xiao-Dong Zhu, Xiao-Feng Zhu, Xiao-Li Zhu, Xiao-Rong Zhu, Xiao-Shan Zhu, Xiao-Ting Zhu, Xiao-Xia Zhu, Xiao-yan Zhu, Xiaodan Zhu, Xiaodong Zhu, Xiaofan Zhu, Xiaofeng Zhu, Xiaohui Zhu, Xiaojian Zhu, Xiaojie Zhu, Xiaojing Zhu, Xiaojuan Zhu, Xiaojun Zhu, Xiaolei Zhu, Xiaoli Zhu, Xiaoming Zhu, Xiaoqi Zhu, Xiaoqun Zhu, Xiaoting Zhu, Xiaowei Zhu, Xiaowen Zhu, Xiaoxi Zhu, Xiaoyan Zhu, Xiaoyang Zhu, Xiaoyi Zhu, Xiaoyu Zhu, Ximing Zhu, Xin Zhu, Xin-Hua Zhu, Xin-Yi Zhu, Xin-Yu Zhu, Xing-Long Zhu, Xingcheng Zhu, Xinghai Zhu, Xinguo Zhu, Xingyu Zhu, Xingyun Zhu, Xinhua Zhu, Xinping Zhu, Xinrui Zhu, Xinting Zhu, Xinwu Zhu, Xinxia Zhu, Xinxing Zhu, Xinyao Zhu, Xinyue Zhu, Xiong-Bai Zhu, Xiongjie Zhu, Xirui Zhu, Xu Zhu, Xu-Guang Zhu, Xuanchi Zhu, Xuanyu Zhu, Xudong Zhu, Xue Zhu, Xue-Yan Zhu, Xuechen Zhu, Xuejiao Zhu, Xuejie Zhu, Xueliang Zhu, Xueqiong Zhu, Xueting Zhu, Xuewei Zhu, Xuezhen Zhu, Xuming Zhu, Xuping Zhu, Y X Zhu, Y Zhu, Yalin Zhu, Yaling Zhu, Yalong Zhu, Yan Zhu, Yan-Bin Zhu, Yan-Ling Zhu, Yan-Ting Zhu, Yanan Zhu, Yanchen Zhu, Yanfang P Zhu, Yanfang Peipei Zhu, Yanfei Zhu, Yang Zhu, Yanglin Zhu, Yanhong Zhu, Yaning Zhu, Yanjie Zhu, Yanjing Zhu, Yanjuan Zhu, Yanli Zhu, Yanping Zhu, Yanqi Zhu, Yanrong Zhu, Yanxia Zhu, Yanzhe Zhu, Yao Zhu, Yaojin Zhu, Yaping Zhu, Yaqun Zhu, Yawen Zhu, Yefei Zhu, Yeke Zhu, Yemin Zhu, Yi Zhu, Yi Zhun Zhu, Yi-Chun Zhu, Yi-Fan Zhu, Yi-Min Zhu, Yi-Yi Zhu, Yifan Zhu, Yihao Zhu, Yijian Zhu, Yijun Zhu, Yilei Zhu, Yimin Zhu, Yin Zhu, Yinchao Zhu, Yineng Zhu, Ying Zhu, Ying-Ying Zhu, Yingdong Zhu, Yingfang Zhu, Yinghong Zhu, Yingjie Zhu, Yingli Zhu, Yingnan Zhu, Yingying Zhu, Yining Zhu, Yinnan Zhu, Yinsheng Zhu, Yiping Zhu, Yiqi Zhu, Yiwei Zhu, Yixing Zhu, Yiyan Zhu, Yong Zhu, Yong-Bing Zhu, Yongfei Zhu, Yongheng Zhu, Yonghong Zhu, Yongjun Zhu, Yongkang Zhu, Yongkun Zhu, Yongmei Zhu, Yongming Zhu, Yongping Zhu, Yongqun Zhu, Yongtong Zhu, Yongwei Zhu, Yongwen Zhu, Yongzhao Zhu, Youcai Zhu, Yu Zhu, Yu-Nan Zhu, Yu-Yuan Zhu, Yuan Zhu, Yuan-Zheng Zhu, Yuan-fang Zhu, Yuan-gui Zhu, Yuangang Zhu, Yuanhui Zhu, Yuankui Zhu, Yuanpeng Zhu, Yuanqiang Zhu, Yuantee Zhu, Yuanting Zhu, Yuanxin Zhu, Yuanyuan Zhu, Yuchen Zhu, Yuchi Zhu, Yue Zhu, Yue-Ping Zhu, Yuefeng Zhu, Yuekun Zhu, Yueping Zhu, Yufei Zhu, Yuhan Zhu, Yuhua Zhu, Yumei Zhu, Yuming Zhu, Yun Zhu, Yunfei Zhu, Yunling Zhu, Yunqing Zhu, Yunzhen Zhu, Yuping Zhu, Yuqian Zhu, Yutian Zhu, Yuwen Zhu, Yuzhe Zhu, Yuzhu Zhu, Z F Zhu, Z-Y Zhu, Zaihan Zhu, Zeren Zhu, Zeyu Zhu, Zezhang Zhu, Zhanzhan Zhu, Zhao Zhu, Zhaohua Zhu, Zhaowei Zhu, Zhaozhong Zhu, Zhe Zhu, Zhenbang Zhu, Zheng Zhu, Zhengbao Zhu, Zhengfeng Zhu, Zhenggang Zhu, Zhenghao Zhu, Zhengming Zhu, Zhengting Zhu, Zhengyu Zhu, Zhenhu Zhu, Zhenjun Zhu, Zhenpeng Zhu, Zhenshuo Zhu, Zhenzhen Zhu, Zheying Zhu, Zhibo Zhu, Zhijie Zhu, Zhijun Zhu, Zhiming Zhu, Zhiqiang Zhu, Zhiyan Zhu, Zhiyong Zhu, Zhong-Yi Zhu, Zhonglin Zhu, Zhongwei Zhu, Zhongxian Zhu, Zhongyi Zhu, Zhou Zhu, Zhouhai Zhu, Zhu Zhu, Zhuoting Zhu, Zijian Zhu, Zijun Zhu, Ziming Zhu, Ziyang Zhu
articles
Zhikun Yang, Zhewei Zhang, Yining Zhu +3 more · 2023 · Genes · MDPI · added 2026-04-24
Intraocular pressure (IOP) is a major modifiable risk factor for glaucoma. However, the mechanisms underlying the controlling of IOP remain to be elucidated. To prioritize genes that are pleiotropical Show more
Intraocular pressure (IOP) is a major modifiable risk factor for glaucoma. However, the mechanisms underlying the controlling of IOP remain to be elucidated. To prioritize genes that are pleiotropically associated with IOP. We adopted a two-sample Mendelian randomization method, named summary-based Mendelian randomization (SMR), to examine the pleiotropic effect of gene expression on IOP. The SMR analyses were based on summarized data from a genome-wide association study (GWAS) on IOP. We conducted separate SMR analyses using Genotype-Tissue Expression (GTEx) and Consortium for the Architecture of Gene Expression (CAGE) expression quantitative trait loci (eQTL) data. Additionally, we performed a transcriptome-wide association study (TWAS) to identify genes whose cis-regulated expression levels were associated with IOP. We identified 19 and 25 genes showing pleiotropic association with IOP using the GTEx and CAGE eQTL data, respectively. Our findings suggest that the 17q21.31 genomic region may play a critical role in the regulation of IOP. Show less
📄 PDF DOI: 10.3390/genes14051027
KANSL1
Xiaoshi Wei, Hao Wu, Zixiang Wang +5 more · 2023 · Animal nutrition (Zhongguo xu mu shou yi xue hui) · Elsevier · added 2026-04-24
This study was conducted to evaluate the effects of dietary crude protein (CP) and rumen-protected lysine (RPL) supplementation on lactation performance, amino acid (AA) balance, nitrogen (N) utilizat Show more
This study was conducted to evaluate the effects of dietary crude protein (CP) and rumen-protected lysine (RPL) supplementation on lactation performance, amino acid (AA) balance, nitrogen (N) utilization and hindgut microbiota in dairy cows. Treatments were in a 2 × 2 factorial arrangement, and the main effects were CP concentration (16% vs. 18%) and RPL supplementation (with or without RPL at 40 g/cow per day). Forty cows were randomly allocated to 4 groups: low-CP diet (LP), low-CP diet plus RPL (LPL), high-CP diet (HP), high-CP diet plus RPL (HPL). The experiment was conducted for 8 weeks. Results showed that RPL increased the dry matter intake ( Show less
📄 PDF DOI: 10.1016/j.aninu.2023.08.001
LPL
Weixu Diao, Rui Jia, Yiran Hou +3 more · 2023 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/ani13111721
LPL
Xialin Zhu, Qingqing Hou, Ling Zhang +6 more · 2023 · Phytotherapy research : PTR · Wiley · added 2026-04-24
Hypertension is a progressive metabolic disease characterized by circadian regulation of lipid metabolism disorder. Identifying specific lipid components and maintaining circadian homeostasis of lipid Show more
Hypertension is a progressive metabolic disease characterized by circadian regulation of lipid metabolism disorder. Identifying specific lipid components and maintaining circadian homeostasis of lipid metabolism might be a promising therapeutic strategy for hypertension. Isorhynchophylline (IRP) can regulate lipid metabolism; however, the underlying mechanism of IRP in improving lipid metabolism rhythm disorder is still unclear. The lipid circadian biomarkers and abnormal metabolic pathways intervened by IRP were investigated using diurnal lipidomic research methods. The 24-h circadian changes in mRNA and protein expression levels of circadian genes, including Bmal1, Clock, Cry1, Cry2, Per1, and Per2, and lipid metabolism-related factors (PPARα and LPL) were determined using RT-PCR and western blot analyses, respectively. The underlying mechanisms were intensively investigated by inhibiting Bmal1. Molecular docking and drug affinity responsive target stability analyses were performed to assess the binding affinity of IRP and Bmal1. IRP treatment could effectively improve 24-h blood pressure, ameliorate the lipid metabolic rhythm disorder, reverse the expression levels of circadian rhythm genes, and regulate lipid metabolism-related genes (PPARα and LPL) by mediating Bmal1. This study highlighted the potential effects of IRP in maintaining the circadian homeostasis of lipid metabolism and the treatment of hypertension. Show less
no PDF DOI: 10.1002/ptr.8015
LPL
Aijuan Yu, Pengcheng Yu, Yuwen Zhu +4 more · 2023 · Oncogene · Nature · added 2026-04-24
The Carbohydrate Response Element (ChoRE) Binding Protein (ChREBP) and its binding partner Max-like protein X (MLX) mediate transcription of lipogenic genes under glucose-rich conditions. Dysregulatio Show more
The Carbohydrate Response Element (ChoRE) Binding Protein (ChREBP) and its binding partner Max-like protein X (MLX) mediate transcription of lipogenic genes under glucose-rich conditions. Dysregulation of glucose and lipid metabolism frequently occurs in cancers, including Hepatocellular Carcinomas (HCCs). However, it is currently unclear whether the glucose-induced lipogenic program plays a role in the development of HCCs. Here, we show that MLX expression is elevated in HCC specimens and downregulation of MLX expression inhibits proliferation of HCC cells. In mice, liver-specific knockout of Mlx results in dramatic decrease in the expression of lipogenic genes and lipid levels in circulation. Interestingly, in the absence of Mlx, the development of tumors in multiple HCC models, such as diethylnitrosamine (DEN) treatment and hydrodynamic injection of oncogenes (AKT/RAS or CTNNB1/RAS), is robustly blocked. However, a high-fat diet can partially restore tumorigenesis in Mlx-deficient livers, indicating a critical role of lipid synthesis in HCC development. In addition, liver-specific expression of a dominant negative MLX (dnMLX) via adeno-associated virus effectively blocks tumorigenesis in mice. Thus, the glucose-induced lipogenic program is required in the development of HCC, and the ChREBP: MLX transcription factors serve as a potential target for cancer therapies. Show less
no PDF DOI: 10.1038/s41388-023-02831-2
MLXIPL
Jiaping Li, Yiqing Hu, Jiajia Li +9 more · 2023 · Transgenic research · Springer · added 2026-04-24
Muscle mass development depends on increased protein synthesis and reduced muscle protein degradation. Muscle ring-finger protein-1 (MuRF1) plays a key role in controlling muscle atrophy. Its E3 ubiqu Show more
Muscle mass development depends on increased protein synthesis and reduced muscle protein degradation. Muscle ring-finger protein-1 (MuRF1) plays a key role in controlling muscle atrophy. Its E3 ubiquitin ligase activity recognizes and degrades skeletal muscle proteins through the ubiquitin-proteasome system. The loss of Murf1, which encodes MuRF1, in mice leads to the accumulation of skeletal muscle proteins and alleviation of muscle atrophy. However, the function of Murf1 in agricultural animals remains unclear. Herein, we bred F1 generation Murf1 Show less
📄 PDF DOI: 10.1007/s11248-023-00342-0
MYBPC3
Xiang-Yu Ma, Yu Zhu, Ya-Ru Xu +5 more · 2023 · Journal of agricultural and food chemistry · ACS Publications · added 2026-04-24
Phthalates are widely used synthetic chemicals that determine endocrine disruption effects on female reproductivity and oviposition. Our study demonstrated that the mitochondrial quality in ovarian gr Show more
Phthalates are widely used synthetic chemicals that determine endocrine disruption effects on female reproductivity and oviposition. Our study demonstrated that the mitochondrial quality in ovarian granulosa cells (GCs) is associated with a poor prognosis in female reproduction. However, the molecular mechanism of di-(2-ethylhexyl) phthalate (DEHP) exposure on the quail ovarian GC layer is still unknown. To validate the effects of DEHP on the GC layer, 8 days' old 150 female Japanese quail were treated orally with DEHP (250, 500, and 750 mg/kg BW/day) for 45 days to explore the toxic effects of DEHP on the ovarian GC layer. Histopathological assessment and ultrastructure observation found that DEHP decreased the thickness of the GC layer, resulted in mitochondrial damage, and activated mitocytosis. Additionally, the results further suggested that DEHP impacted the secretion of steroid hormones (reduced FSH, E2, and T levels and boosted Prog, PRL, and LH levels) by triggering mitocytosis (enhanced transcription of Show less
no PDF DOI: 10.1021/acs.jafc.2c08601
MYO19
Wei Tang, Guanghua Li, Qi Lin +3 more · 2023 · Journal of translational medicine · BioMed Central · added 2026-04-24
The role of cholesterol metabolism in gastric cancer (GC) and its implications for tumor characteristics and immunotherapy response remain poorly understood. In this study, our aim was to investigate Show more
The role of cholesterol metabolism in gastric cancer (GC) and its implications for tumor characteristics and immunotherapy response remain poorly understood. In this study, our aim was to investigate this role, identify associated metabolic subtypes, and assess their clinical implications in GC. We conducted a comprehensive analysis of cholesterol metabolism genes (CMGs) using transcriptomic data from TCGA and GEO. Based on 23 representative CMGs, we classified GC into metabolic subtypes. We evaluated clinical features and immune cell infiltration between these subtypes. Additionally, we identified a CMG signature and assessed its clinical relevance in GC. We retrospectively enrolled thirty-five GC patients receiving chemotherapy plus a PD-1 inhibitor to assess the CMG signature using multiplex immunohistochemistry. Our analysis revealed two cholesterol metabolism subtypes in GC: Cholesterol Metabolism Type 1 (CMT1) and Cholesterol Metabolism Type 2 (CMT2). These subtypes exhibited distinct patterns: CMT1 indicated heightened cholesterol biosynthesis, while CMT2 showed abnormal cholesterol transport. CMT2 was associated with unfavorable clinical features, enriched malignant pathways, and a pro-tumor immune microenvironment. Furthermore, we developed a five-CMG prognostic signature (ABCA1, NR1H3, TSPO, NCEH1, and HMGCR) that effectively predicted the prognosis of patients with GC and their response to chemotherapy plus a PD-1 inhibitor. This signature was validated in a clinical cohort using multiplex immunohistochemistry. Our results highlight the effectiveness of cholesterol metabolism patterns as biomarkers for predicting the prognosis and immunotherapy response in GC. The expression of cholesterol metabolism genes and the assessment of cholesterol metabolism patterns have the potential to predict the outcome of immunotherapy and guide treatment strategies. Show less
no PDF DOI: 10.1186/s12967-023-04758-4
NR1H3
Jiayong Xie, Ying Yuan, Gang Yao +2 more · 2023 · Iranian journal of kidney diseases · added 2026-04-24
Diabetes mellitus (DM) is one of the most common chronic diseases worldwide, and diabetic nephropathy (DN) is the most significant complication of DM, which is highly prevalent and difficult to cure. Show more
Diabetes mellitus (DM) is one of the most common chronic diseases worldwide, and diabetic nephropathy (DN) is the most significant complication of DM, which is highly prevalent and difficult to cure. This research project aims to investigate the role and mechanism of Nucleoporin 160kDa (NUP160)-regulated autophagy in the pathogenesis of DN. NUP160 levels in diabetic and non-diabetic kidney tissues were measured by Western blot, and the connection between NUP160 and renal function of DN patients was analyzed. The podocytes were divided into four groups, namely the standard group (culture medium: standard glucose solution), high glucose (HG) group (HG solution), HG+si-NUP160 group (HG solution+si-NUP160 transfection) and HG+si-NC group (HG solution+si-NUP 160 transfection) for the determination of apoptosis by flow cytometry and measurements of LC3B, Prostacyclin-62 (P62), Janus kinase 2 (JAK2) and Signal transducer and activator of transcription3 (STAT3) by Western blot. In DN patients, NUP160 decreased in podocytes and was inversely proportional to Blood urea nitrogen (BUN), Serum creatinine (Scr) and β2-Microglobulin (β2-MG) (P < .05). Compared with a standard group, the apoptosis rate, P62 level, and the ratios of phosphorylation-JAK2 (p-JAK2)/JAK2, phosphorylation-STAT3 (p-STAT3)/STAT3, and LC3B-Ⅱ/LC3B-Ⅰ elevated in the other three groups (P < .05). Apoptosis rate and P62 level, p-JAK2/JAK2 and p-STAT3/STAT3 ratios increased, and LC3B-Ⅱ/LC3B-Ⅰ ratio decreased in the HG+si-NUP160 group (P < .05), while those in HG+si-NC group showed no evident changes, compared with HG group (P > .05). NUP160 is downregulated in DN and can affect cellular autophagy through the activation of JAK2/STAT3 signaling pathway. Show less
no PDF DOI: 10.52547/ijkd.7884
NUP160
Haibo Tang, Jie Wang, Peizhi Deng +6 more · 2023 · Diabetologia · Springer · added 2026-04-24
This study aimed to assess the causal relationship between visceral obesity and type 2 diabetes and subsequently to screen visceral adipose tissue (VAT)-specific targets for type 2 diabetes. We examin Show more
This study aimed to assess the causal relationship between visceral obesity and type 2 diabetes and subsequently to screen visceral adipose tissue (VAT)-specific targets for type 2 diabetes. We examined the causal relationship between VAT and type 2 diabetes using bidirectional Mendelian randomisation (MR) followed by multivariable MR. We conducted a transcriptome-wide association study (TWAS) leveraging prediction models and a large-scale type 2 diabetes genome-wide association study (74,124 cases and 824,006 controls) to identify candidate genes in VAT and used summary-data-based MR (SMR) and co-localisation analysis to map causal genes. We performed enrichment and single-cell RNA-seq analyses to determine the cell-specific localisation of the TWAS-identified genes. We also conducted knockdown experiments in 3T3-L1 pre-adipocytes. MR analyses showed a causal relationship between genetically increased VAT mass and type 2 diabetes (inverse-variance weighted OR 2.48 [95% CI 2.21, 2.79]). Ten VAT-specific candidate genes were associated with type 2 diabetes after Bonferroni correction, including five causal genes supported by SMR and co-localisation: PABPC4 (1p34.3); CCNE2 (8q22.1); HAUS6 (9p22.1); CWF19L1 (10q24.31); and CCDC92 (12q24.31). Combined with enrichment analyses, clarifying cell-type specificity with single-cell RNA-seq data indicated that most TWAS-identified candidate genes appear more likely to be associated with adipocytes in VAT. Knockdown experiments suggested that Pabpc4 likely contributes to regulating differentiation and energy metabolism in 3T3-L1 adipocytes. Our findings provide new insights into the genetic basis and biological processes of the association between VAT accumulation and type 2 diabetes and warrant investigation through further functional studies to validate these VAT-specific candidate genes. Show less
no PDF DOI: 10.1007/s00125-023-05978-5
PABPC4
Huifang Li, Zhenghong Yu, Zikang Niu +7 more · 2023 · Cellular and molecular life sciences : CMLS · Springer · added 2026-04-24
Ufmylation is a recently identified small ubiquitin-like modification, whose biological function and relevant cellular targets are poorly understood. Here we present evidence of a neuroprotective role Show more
Ufmylation is a recently identified small ubiquitin-like modification, whose biological function and relevant cellular targets are poorly understood. Here we present evidence of a neuroprotective role for Ufmylation involving Autophagy-related gene 9 (Atg9) during Drosophila aging. The Ufm1 system ensures the health of aged neurons via Atg9 by coordinating autophagy and mTORC1, and maintaining mitochondrial homeostasis and JNK (c-Jun N-terminal kinase) activity. Neuron-specific expression of Atg9 suppresses the age-associated movement defect and lethality caused by loss of Ufmylation. Furthermore, Atg9 is identified as a conserved target of Ufm1 conjugation mediated by Ddrgk1, a critical regulator of Ufmylation. Mammalian Ddrgk1 was shown to be indispensable for the stability of endogenous Atg9A protein in mouse embryonic fibroblast (MEF) cells. Taken together, our findings might have important implications for neurodegenerative diseases in mammals. Show less
no PDF DOI: 10.1007/s00018-023-04778-9
PATJ
Shao-Qi Zhang, Qiao Deng, Qi Zhu +9 more · 2023 · Cell discovery · Nature · added 2026-04-24
Dysfunctional autophagy and impairment of adult hippocampal neurogenesis (AHN) each contribute to the pathogenesis of major depressive disorder (MDD). However, whether dysfunctional autophagy is linke Show more
Dysfunctional autophagy and impairment of adult hippocampal neurogenesis (AHN) each contribute to the pathogenesis of major depressive disorder (MDD). However, whether dysfunctional autophagy is linked to aberrant AHN underlying MDD remains unclear. Here we demonstrate that the expression of nuclear receptor binding factor 2 (NRBF2), a component of autophagy-associated PIK3C3/VPS34-containing phosphatidylinositol 3-kinase complex, is attenuated in the dentate gyrus (DG) under chronic stress. NRBF2 deficiency inhibits the activity of the VPS34 complex and impairs autophagic flux in adult neural stem cells (aNSCs). Moreover, loss of NRBF2 disrupts the neurogenesis-related protein network and causes exhaustion of aNSC pool, leading to the depression-like phenotype. Strikingly, overexpressing NRBF2 in aNSCs of the DG is sufficient to rescue impaired AHN and depression-like phenotype of mice. Our findings reveal a significant role of NRBF2-dependent autophagy in preventing chronic stress-induced AHN impairment and suggest the therapeutic potential of targeting NRBF2 in MDD treatment. Show less
no PDF DOI: 10.1038/s41421-023-00583-7
PIK3C3
Yajing Zhang, Yilei Guo, Qin Zhang +4 more · 2023 · Molecular nutrition & food research · Wiley · added 2026-04-24
Colonic mucosal healing is the terminal goal for the treatment of ulcerative colitis (UC), but there is currently no specific drug available. This study investigates the beneficial effect of diallyl t Show more
Colonic mucosal healing is the terminal goal for the treatment of ulcerative colitis (UC), but there is currently no specific drug available. This study investigates the beneficial effect of diallyl trisulfide (DATS) on the colonic mucosal healing. Dextran sulfate sodium (DSS) is used to induce colitis in female C57BL/6 mice, and DATS is orally administered during the recovery period. DATS hardly impacts the inflammation of the colonic tissues, but significantly promotes the mucosal repair. DATS promotes the migration but not proliferation of colonic epithelial cells in the colitis mice. In addition, DATS accelerates the wound healing, cell migration, focal adhesion assembly, and phosphorylation of focal adhesion kinase (FAK) of colonic epithelial cells in vitro, which are evidently reversed by combined use of FAK inhibitor PF-573228. Similar results are shown in colitis mice. Mechanically, DATS promotes the binding of Rab21 to integrin β1 and accelerates the endocytosis of integrin β1, which is significantly attenuated by the knockdown of Rab21. DATS promotes the binding of Rab21 to integrin β1 and the endocytosis of integrin β1, thereby increases FAK phosphorylation and focal adhesion assembly, finally accelerates the migration of colonic epithelial cells and mucosal healing. Show less
no PDF DOI: 10.1002/mnfr.202200784
RAB21
Yuqian Zhu, Jingyao Chen, Jun Li +3 more · 2023 · Frontiers in immunology · Frontiers · added 2026-04-24
In recent years, numerous studies have confirmed that chronic stress is closely related to the development of cancer. Our previous research showed that high levels of stress hormones secreted in the b Show more
In recent years, numerous studies have confirmed that chronic stress is closely related to the development of cancer. Our previous research showed that high levels of stress hormones secreted in the body during chronic stress could inhibit the cancer-killing activity of granulocytes, which could further promote the development of cancer. Therefore, reversing the immunosuppressive effect of stress hormones on granulocytes is an urgent problem in clinical cancer treatment. Here, we selected noradrenaline (NA) as a representative stress hormone. After screening many traditional Chinese herbal medicine active ingredients, a promising compound, ginsenoside Rg1, attracted our attention. We verified the immunoprotective effect of ginsenoside Rg1 on granulocytes In future clinical treatments, ginsenoside Rg1 may be used as an adjuvant agent for cancer treatment to alleviate chronic stress-induced adverse events in cancer patients. Show less
no PDF DOI: 10.3389/fimmu.2023.1070679
RAPSN
Xiaorui Wang, Xinxing Zhu, Guangqian Huang +3 more · 2023 · BMC ophthalmology · BioMed Central · added 2026-04-24
The pathological basis for many retinal diseases, retinal ischemia is also one of the most common causes of visual impairment. Numerous ocular diseases have been linked to Endoplasmic reticulum(ER)str Show more
The pathological basis for many retinal diseases, retinal ischemia is also one of the most common causes of visual impairment. Numerous ocular diseases have been linked to Endoplasmic reticulum(ER)stress. However, there is still no clear understanding of the relationship between ER stress and Müller glial cells during retinal ischemia and hypoxia. This study examined the effects of ER stress on autophagy and apoptosis-related proteins, as well as the microtubule-related protein tau in rMC-1 cells. rMC-1 cells were cultured in vitro. RT-PCR、immunofluorescence and Western blotting revealed the expression levels of associated mRNAs and proteins, and the CCK-8 and flow cytometry assays detected cell apoptosis. The results showed that under OGD(Oxygen-glucose deprivation) conditions, the number of rMC-1 cells was decreased, the PERK/eIF2a pathway was activated, and the expressions of p-tau, LC3、Beclin1 and Caspase-12 proteins were increased. After the PERK knockout, the expression of the above proteins was decreased, and the apoptosis was also decreased. According to the findings of this study, specific downregulation of PERK expression had an anti-apoptotic effect on OGD-conditioned rMC-1 cells. There is a possibility that this is one of the mechanisms of MG cell apoptosis during retinal ischemic injury. Show less
no PDF DOI: 10.1186/s12886-023-03022-z
RMC1
Wanlin Zhu, Bin Ye, Shangwen Yang +1 more · 2023 · Journal of molecular histology · Springer · added 2026-04-24
Cancer cell stemness contributes significantly to intrahepatic cholangiocarcinoma (ICC) progression. However, the roles of deubiquitinating enzymes (DUBs) in ICC modulation are poorly understood. Ubiq Show more
Cancer cell stemness contributes significantly to intrahepatic cholangiocarcinoma (ICC) progression. However, the roles of deubiquitinating enzymes (DUBs) in ICC modulation are poorly understood. Ubiquitin specific peptidase 10 (USP10) was highly expressed in ICC spheres. The interaction between USP10 and snail family transcriptional repressor 1 (SNAI1) reduced the polyubiquitination of the SNAI1 protein and stabilized the SNAI1 protein. USP10 knockdown in RBE cells inhibited cell proliferation, promoted cell apoptosis and decreased the diameter of the formed spheres and the expression levels of CD44, EpCAM, OCT4 and SOX2. SNAI1 overexpression alleviated the effect of USP10 knockdown in RBE cells. In addition, the knockdown of USP10 attenuated the ability of RBE cells to form tumors subcutaneously in nude mice. Our results revealed that USP10 attenuates ICC cell malignancy by deubiquitinating SNAI1, indicating that USP10 could be developed as a therapeutic target for ICC treatment. Show less
no PDF DOI: 10.1007/s10735-023-10150-9
SNAI1
Yuchen Gao, Jiaxin Tang, Xiuqing Ma +8 more · 2023 · Journal of cellular physiology · Wiley · added 2026-04-24
Melanoma is the most aggressive form of skin cancer with rapidly increased incidence worldwide especially in the Caucasian population. Surgical excision represents the curative treatment choice in pat Show more
Melanoma is the most aggressive form of skin cancer with rapidly increased incidence worldwide especially in the Caucasian population. Surgical excision represents the curative treatment choice in patients with early-stage disease. However, the therapeutic outcomes in patients with metastatic melanoma remains unsatisfactory. Thus, understanding molecular mechanisms contributing to metastasis and chemoresistance is critical for new improved therapies of melanoma. Snail1, an important epithelial-mesenchymal transition transcription factors (EMT-TFs), is critical to induce the EMT process, thereby contributing to cancer metastasis. However, the involvement of Snail1 in melanoma metastasis remains elusive and the underlying mechanism to regulate Snail1 in melanoma needs to be further investigated. Here, we identified OTUD4 as a novel deubiquitinase of Snail1 in melanoma. Moreover, the depletion of OTUD4 in melanoma cells markedly inhibited Snail1 stability and Snail1-driven malignant phenotypes both in vitro and in vivo. Overall, our study establishes OTUD4 as a novel therapeutic target in metastasis and chemoresistance of melanoma by stabilizing Snail1 and provides a rationale for potential therapeutic strategies of melanoma. Show less
no PDF DOI: 10.1002/jcp.31104
SNAI1
Shiwen Zhang, Siyan Pang, Wenhao Pei +12 more · 2023 · ACS omega · ACS Publications · added 2026-04-24
MicroRNAs (miRNAs) play an essential role in cancer therapy, but the disadvantages of its poor inherent stability, rapid clearance, and low delivery efficiency affect the therapeutic efficiency. Loadi Show more
MicroRNAs (miRNAs) play an essential role in cancer therapy, but the disadvantages of its poor inherent stability, rapid clearance, and low delivery efficiency affect the therapeutic efficiency. Loading miRNAs by nanoformulations can improve their bioavailability and enhance therapeutic efficiency, which is an effective miRNA delivery strategy. In this study, we synthesized layered double hydroxides (LDH), which are widely used as carriers of drugs or genes due to the characteristics of good biocompatibility, high loading capacity, and pH sensitivity. We loaded the suppressor oncogene miR-30a on LDH nanomaterials (LDH@miR-30a) and determined the mass ratio of miRNA binding to LDH by agarose gel electrophoresis. LDH@miR-30a was able to escape the lysosomal pathway and was successfully phagocytosed by breast cancer SKBR3 cells and remained detectable in the cells after 24 h of co-incubation. In vitro experiments showed that LDH@miR-30a-treated SKBR3 cells showed decreased proliferation and cell cycle arrest in the G0/G1 phase and LDH@miR-30a was able to regulate the epithelial-mesenchymal transition (EMT) process and inhibit cell migration and invasion by targeting SNAI1. Meanwhile, in vivo experiments showed that nude mice treated with LDH@miR-30a showed a significant reduction in their solid tumors and no significant impairment of vital organs was observed. In conclusion, LDH@miR-30a is an effective drug delivery system for the treatment of breast cancer. Show less
no PDF DOI: 10.1021/acsomega.2c07866
SNAI1
Longyang Liu, Chunlin Chen, Ping Liu +10 more · 2023 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
The poor prognosis of serous ovarian cancer (SOC) is due to its high invasive capacity and cisplatin resistance of SOC cells, whereas the molecular mechanisms remain poorly understood. In the present Show more
The poor prognosis of serous ovarian cancer (SOC) is due to its high invasive capacity and cisplatin resistance of SOC cells, whereas the molecular mechanisms remain poorly understood. In the present study, the expression and function of non-muscle myosin heavy chain IIB (MYH10) in SOC are identified by immunohistochemistry, in vitro, and in vivo studies, respectively. The mechanism of MYH10 is demonstrated by co-immunoprecipitation, GST pull-down, confocal laser assays, and so on. The results show that the knockdown of MYH10 suppressed SOC cell proliferation, migration, invasion, metastasis, and cisplatin resistance both in vivo and in vitro. Further studies confirm that the MYH10 protein functional domain combines with non-muscle myosin heavy chain IIA (MYH9) to recruit the deubiquitinating enzyme Ubiquitin-specific proteases 45 and deubiquitinates snail to inhibit snail degradation, eventually promoting tumorigenesis, progression, and cisplatin resistance in SOC. In clinical samples, MYH10 expression is significantly elevated in SOC samples compared to the paratumor samples. And the expression of MYH10 is positively correlated with MYH9 expression. MYH10+/MYH9+ co-expression is an independent prognostic factor for predicting SOC patient survival. These findings uncover a key role of the MYH10-MYH9-snail axis in SOC carcinogenesis, progression, and cisplatin resistance, and provide potential novel therapeutic targets for SOC intervention. Show less
no PDF DOI: 10.1002/advs.202203423
SNAI1
Pingfei Tang, Yueming Wu, Chaojun Zhu +2 more · 2023 · Journal of oncology · added 2026-04-24
Hypoxia contributes to tumor progression and confers drug resistance. We attempted to microdissect the hypoxia landscape in colon cancer (CC) and explore its correlation with immunotherapy response. T Show more
Hypoxia contributes to tumor progression and confers drug resistance. We attempted to microdissect the hypoxia landscape in colon cancer (CC) and explore its correlation with immunotherapy response. The hypoxia landscape in CC patients was microdissected through unsupervised clustering. The "xCell" algorithms were applied to decipher the tumor immune infiltration characteristics. A hypoxia-related index signature was developed via the LASSO (least absolute shrinkage and selection operator) Cox regression in The Cancer Genome Atlas (TCGA)-colon adenocarcinoma (COAD) cohort and validated in an independent dataset from the Gene Expression Omnibus (GEO) database. The tumor immune dysfunction and exclusion (TIDE) algorithm was utilized to evaluate the correlation between the hypoxia-related index (HRI) signature and immunotherapy response. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blotting were performed to verify the mRNA expression levels of five key genes. The Cell Counting Kit-8 (CCK-8) assay and flow cytometry were performed to examine the cell viability and cell apoptosis. Patients were classified into hypoxia-high, hypoxia-median, and hypoxia-low clusters in TCGA-COAD and verified in the GSE 17538 dataset. Compared with the hypoxia-low cluster, the hypoxia-high cluster consistently presented an unfavorable prognosis, higher immune scores, and stromal scores and elevated infiltration levels of several critical immune and stromal cells. Otherwise, we also found 600 hypoxia-related differentially expressed genes (HRDEGs) between the hypoxia-high cluster and the hypoxia-low cluster. Based on the 600 HRDEGs, we constructed the HRI signature which consists of 11 genes and shows a good prognostic value in both TCGA-COAD and GSE 17538 (AUC of 6-year survival prediction >0.75). Patients with low HRI scores were consistently predicted to be more responsive to immunotherapy. Of the 11 HRI signature genes, RGS16, SNAI1, CDR2L, FRMD5, and FSTL3 were differently expressed between tumors and adjacent tissues. Low expression of SNAI1, CDR2L, FRMD5, and FSTL3 could induce cell viability and promote tumor cell apoptosis. In our study, we discovered three hypoxia clusters which correlate with the clinical outcome and the tumor immune microenvironment in CC. Based on the hypoxia cluster and HRDEGs, we constructed a reliable HRI signature that could accurately predict the prognosis and immunotherapeutic responsiveness in CC patients and discovered four key genes that could affect tumor cell viability and apoptosis. Show less
no PDF DOI: 10.1155/2023/9346621
SNAI1
Qingling Hua, Yuanyuan Lu, Dingxiang Wang +6 more · 2023 · Translational oncology · Elsevier · added 2026-04-24
Oxaliplatin is a commonly used platinum drug for colorectal cancer (CRC). However, the treatment of CRC by oxaliplatin usually fails because of drug resistance, which results in a huge challenge in th Show more
Oxaliplatin is a commonly used platinum drug for colorectal cancer (CRC). However, the treatment of CRC by oxaliplatin usually fails because of drug resistance, which results in a huge challenge in the therapy of CRC. Elucidation of molecular mechanisms may help to overcome oxaliplatin resistance of CRC. In our study, we revealed that KIAA1199 can promote oxaliplatin resistance of CRC. Mechanistically, KIAA1199 prevents oxaliplatin mediated apoptosis via up-regulated PARP1 derived from reduced endoplasmic reticulum stress induced by protein O-GlcNAcylation. In the meantime, KIAA1199 can also trigger epithelial mesenchymal transition by stabilizing SNAI1 protein via O-GlcNAcylation. Therefore, KIAA1199 has great potential to be a novel biomarker, therapeutic target for oxaliplatin resistance and metastasis of CRC. Show less
no PDF DOI: 10.1016/j.tranon.2023.101617
SNAI1
Xiaoming Zhou, Yongming Zhu, Jiayu Liu +1 more · 2023 · The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · added 2026-04-24
Based on the gene expression profiles of gastric epithelial tissue at different stages of Helicobacter pylori-infected gastritis, key long noncoding RNAs and genes in the development of Helicobacter p Show more
Based on the gene expression profiles of gastric epithelial tissue at different stages of Helicobacter pylori-infected gastritis, key long noncoding RNAs and genes in the development of Helicobacter pylori infection-induced gastritis were screened to provide a basis for early diagnosis and treatment. We downloaded 2 sets of sample data from the database, including gastric epithelial tissue samples from gastritis patients from Bhutan and Dominican, and screened mRNAs in the differentially expressed RNAs of the 2 regions. Mfuzz clustering algorithm was used to screen RNAs related to the 3 stages of chronic gastritis. The competing endogenous RNA (ceRNA) regulation network was constructed, and the selected key RNAs were verified. Samples from Bhutan and Dominican were subdivided into the chronic gastritis/ normal comparison groups, and the differentially expressed RNAs were screened to obtain 1067 overlapping RNAs, containing 21 long noncoding RNAs and 1046 mRNAs. Thirty-eight significant gene ontology functional nodes and 6 expression pattern clusters were obtained. Two ceRNA regulatory networks were constructed, and 4 shared miRNAs (hsa-miR-320b, hsa-miR-320c, hsa-miR-320d, and hsa-miR-155-5p) were obtained. Eleven important long noncoding RNAs (AFAP1-AS1, MIR155HG, LINC00472, and FAM201A) and mRNAs (CASP10, SLC26A2, TRIB1, BMP2K, SCAMP1, TNKS1BP1, and MBOAT2) regulated by these 4 miRNAs were obtained. These results indicated that Helicobacter pylori infection had a certain influence on the development of gastritis. The 11 key RNAs can provide a target for the early diagnosis and treatment of chronic gastritis following Helicobacter pylori infection. Show less
no PDF DOI: 10.5152/tjg.2023.22316
TNKS1BP1
Jun Zhu, Ziluo Peng, Xianyan Tian +4 more · 2023 · IUBMB life · Wiley · added 2026-04-24
WW domain containing E3 ubiquitin protein ligase 2 (WWP2) is a member of the NEDD4 E3 ubiquitin ligase family. WWP2 ligase activity is regulated by the 2, 3-linker auto-inhibition. Tyrosine phosphoryl Show more
WW domain containing E3 ubiquitin protein ligase 2 (WWP2) is a member of the NEDD4 E3 ubiquitin ligase family. WWP2 ligase activity is regulated by the 2, 3-linker auto-inhibition. Tyrosine phosphorylation of the 2, 3-linker was identified as an activating means for releasing the auto-inhibition of WWP2. However, the tyrosine kinase (TK) for the phosphorylation and activation remains unknown. In this report, we have found that non-receptor TK ACK1 binds to the WW3 domain of WWP2 and phosphorylates WWP2. ACK1 phosphorylates WWP2 at the 2, 3-linker and partially activates the ubiquitination ligase activity. Unexpectedly, tyrosine phosphorylation of the 2, 3-linker seems not a major mode for activation of WWP2, as ACK1 causes much higher activation of the 2, 3-linker tyrosine phosphorylation defective mutants of WWP2 than that of wild-type WWP2. Furthermore, epidermal growth factor (EGF) stimulates tyrosine phosphorylation of WWP2 and this EGF-stimulated phosphorylation of WWP2 is mediated by ACK1. Finally, knockdown of WWP2 by shWWP2 inhibits the EGF-dependent cell proliferation of lung cancer A549 cells, suggesting that WWP2 may function in the EGFR signaling in lung cancer progression. Taken together, our findings have revealed a novel mechanism underlying activation of WWP2. Show less
no PDF DOI: 10.1002/iub.2705
WWP2
Xin-Shang Wang, Yong-Li Jiang, Liang Lu +15 more · 2022 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Chronic pain is defined as pain that persists typically for a period of over six months. Chronic pain is often accompanied by an anxiety disorder, and these two tend to exacerbate each other. This can Show more
Chronic pain is defined as pain that persists typically for a period of over six months. Chronic pain is often accompanied by an anxiety disorder, and these two tend to exacerbate each other. This can make the treatment of these conditions more difficult. Glucose-dependent insulinotropic polypeptide (GIP) is a member of the incretin hormone family and plays a critical role in glucose metabolism. Previous research has demonstrated the multiple roles of GIP in both physiological and pathological processes. In the central nervous system (CNS), studies of GIP are mainly focused on neurodegenerative diseases; hence, little is known about the functions of GIP in chronic pain and pain-related anxiety disorders. The chronic inflammatory pain model was established by hind paw injection with complete Freund's adjuvant (CFA) in C57BL/6 mice. GIP receptor (GIPR) agonist (D-Ala In the present study, we found that hind paw injection with CFA induced pain sensitization and anxiety-like behaviors in mice. The expression of GIPR in the ACC was significantly higher in CFA-injected mice. D-Ala GIPR activation was found to produce analgesic and anxiolytic effects, which were partially due to attenuation of neuroinflammation and inhibition of excitatory transmission in the ACC. GIPR may be a suitable target for treatment of chronic inflammatory pain and pain-related anxiety. Show less
📄 PDF DOI: 10.3389/fendo.2022.887238
GIPR
Qiong-Qiong Zhong, Feng Zhu · 2022 · Frontiers in neurology · Frontiers · added 2026-04-24
Fat Mass and Obesity-Associated (FTO) and the Melanocortin-4 Receptor (MC4R) genes are strongly associated with obesity, an established risk factor for stroke. We aimed to assess the associations betw Show more
Fat Mass and Obesity-Associated (FTO) and the Melanocortin-4 Receptor (MC4R) genes are strongly associated with obesity, an established risk factor for stroke. We aimed to assess the associations between rs17817449 at the Study data were obtained from the Guangzhou Biobank Cohort Study; a total of 148 participants with a self-reported history of stroke and an equal volume of age- and sex-matched participants were selected as the cases and the controls in a case-control study; a total of 13,967 participants at the first follow-up and all participants with fatal stroke (up to April 2021) were included in a retrospective cohort study. Conditional logistic regression and the Cox proportional hazards regression analyses were used to assess the associations of the two genetic loci with the risk of stroke events. After adjusting for age, sex, education, job, smoking, alcohol consumption, body mass index, physical activity, hypertension, diabetes, and dyslipidemia, rs17817449 and rs6567160 shared minor alleles G and C, respectively, in the case-control analyses. The genotypes GG+GT of rs17817449 at the The G allele of rs17817449 at the Show less
📄 PDF DOI: 10.3389/fneur.2022.1036750
MC4R
Uday Singh, Jingwei Jiang, Kenji Saito +10 more · 2022 · Molecular metabolism · Elsevier · added 2026-04-24
The paraventricular nucleus of hypothalamus (PVN), an integrative center in the brain, orchestrates a wide range of physiological and behavioral responses. While the PVN melanocortin 4 receptor (MC4R) Show more
The paraventricular nucleus of hypothalamus (PVN), an integrative center in the brain, orchestrates a wide range of physiological and behavioral responses. While the PVN melanocortin 4 receptor (MC4R) signaling (PVN Using a combination of viral tools, we mapped PVN We found that PVN Our results elucidate the neuroanatomical organization of PVN Show less
📄 PDF DOI: 10.1016/j.molmet.2021.101401
MC4R
Tian-Heng Gao, Ming-Ming Han, Hui Zhou +5 more · 2022 · BMC genomics · BioMed Central · added 2026-04-24
Berberine hydrochloride is the main effective component of Coptis spp. used in Chinese herbal medicine and its underlying molecular mechanisms, responsible for inducing effects in crustacean species, Show more
Berberine hydrochloride is the main effective component of Coptis spp. used in Chinese herbal medicine and its underlying molecular mechanisms, responsible for inducing effects in crustacean species, are not fully understood. In this study, the molecular response of the crab Charybdis japonica to berberine hydrochloride exposure was studied using transcriptome sequencing. The survival rate, gene expression and activities of several immune enzymes were measured after berberine hydrochloride treatments, with or without injection of the pathogenic bacterium Aeromonas hydrophila. A total of 962 differentially expressed genes (464 up-regulated and 498 down-regulated) were observed during exposure to 100 mg/L of berberine hydrochloride and in the control group after 48 h. Enrichment analysis revealed that these genes are involved in metabolism, cellular processes, signal transduction and immune functions, indicating that exposure to berberine hydrochloride activated the immune complement system. This bioactive compound simultaneously activated fibrinogen beta (FGB), fibrinogen alpha (FGA), alpha-2-macroglobulin (A2M), kininogen (KNG), fibrinogen gamma chain (FGB), alpha-2-HS-glycoprotein (AHSG), caspase-8 (CASP8), cathepsin L (CTSL), adenylate cyclase 3 (Adcy3) and MMP1. Its action could significantly increase the survival rate of the crabs injected with A. hydrophila and promote the activity of LZM, Caspas8, FGA, ACP and AKP in the hepatopancreas. When A. hydrophila was added, the neutralization of 300 mg/L berberine hydrochloride maximized the activities of Caspas8, LZM, ACP and AKP. Our results provide a new understanding of the potential effects of berberine hydrochloride on the immune system mechanisms in crustaceans. Show less
📄 PDF DOI: 10.1186/s12864-022-08798-w
ADCY3
Haoren Qin, Heng Zhang, Haipeng Li +6 more · 2022 · Frontiers in oncology · Frontiers · added 2026-04-24
Radiotherapy (RT) is one of the most important treatments for patients with colorectal cancer (CRC). Radioresistance is the crucial cause of poor therapeutic outcomes in colorectal cancer. However, th Show more
Radiotherapy (RT) is one of the most important treatments for patients with colorectal cancer (CRC). Radioresistance is the crucial cause of poor therapeutic outcomes in colorectal cancer. However, the underlying mechanism of radioresistance in colorectal cancer is still poorly defined. Herein we established a radioresistant colorectal cancer cell line and performed transcriptomics analyses to search for the underlying genes that contribute to radioresistance and investigate its association with the prognosis of CRC patients. The radioresistant cell line was developed from the parental HCT116 cell by a stepwise increased dose of irradiation. Differential gene analysis was performed using cellular transcriptome data to identify genes associated with radioresistance, from which extracellular matrix (ECM) and cell adhesion-related genes were screened. Survival data from a CRC cohort in the TCGA database were used for further model gene screening and validation. The correlation between the risk score model and tumor microenvironment, clinical phenotype, drug treatment sensitivity, and tumor mutation status were also investigated. A total of 493 different expression genes were identified from the radioresistant and wild-type cell line, of which 94 genes were associated with ECM and cell adhesion-related genes. The five model genes The risk score model built with five radioresistance genes in this study, including Show less
📄 PDF DOI: 10.3389/fonc.2022.1100481
ANGPTL4
Yinping Liu, Rui Yang, Yan Zhang +2 more · 2022 · Journal of ovarian research · BioMed Central · added 2026-04-24
Angiopoietin-like 4 (ANGPTL4) is highly expressed in a variety of neoplasms and promotes cancer progression. Nevertheless, the mechanism of ANGPTL4 in ovarian cancer (OC) metastasis remains unclear. T Show more
Angiopoietin-like 4 (ANGPTL4) is highly expressed in a variety of neoplasms and promotes cancer progression. Nevertheless, the mechanism of ANGPTL4 in ovarian cancer (OC) metastasis remains unclear. This study aimeds to explore whether ANGPTL4 regulates OC progression and elucidate the underlying mechanism. ANGPTL4 expression in clinical patient tumor samples was determined by immunohistochemistry (IHC) and high-throughput sequencing. ANGPTL4 knockdown (KD) and the addition of exogeneous cANGPTL4 protein were used to investigate its function. An in vivo xenograft tumor experiment was performed by intraperitoneal injection of SKOV3 cells transfected with short hairpin RNAs (shRNAs) targeting ANGPTL4 in nude mice. Western blotting and qRT-PCR were used to detect the levels of ANGPTL4, CDH5, p-AKT, AKT, ETV5, MMP2 and MMP9 in SKOV3 and HO8910 cells transfected with sh-ANGPTL4 or shRNAs targeting ETV5. Increased levels of ANGPTL4 were associated with poor prognosis and metastasis in OC and induced the angiogenesis and metastasis of OC cells both in vivo and in vitro. This tumorigenic effect was dependent on CDH5, and the expression levels of ANGPTL4 and CDH5 in human OC werepositively correlated. In addition, CDH5 activated p-AKT, and upregulated the expression of MMP2 and MMP9. We also found that the expression of ETV5 was upregulated by ANGPTL4, which could bind the promoter region of CDH5, leading to increased CDH5 expression. Our data indicated that an increase in the ANGPTL4 level results in increased ETV5 expression in OC, leading to metastasis via activation of the CDH5/AKT/MMP9 signaling pathway. Show less
📄 PDF DOI: 10.1186/s13048-022-01060-7
ANGPTL4
Lijun Shu, Cong Wang, Zhengzheng Ding +8 more · 2022 · Frontiers in cell and developmental biology · Frontiers · added 2026-04-24
Preeclampsia (PE) is the predominant medical condition leading to maternal and fetal mortality, and the lack of effective treatment increases its risk to the public health. Among the numerous predispo Show more
Preeclampsia (PE) is the predominant medical condition leading to maternal and fetal mortality, and the lack of effective treatment increases its risk to the public health. Among the numerous predisposing factors, the ineffectual remodeling of the uterine spiral arteries, which can induce abnormal placental angiogenesis, has been focused to solve the pathogenesis of PE. According to the preceding research results, abnormal expression of long non-coding RNAs (lncRNA)s could be associated with the pathological changes inducing PE. To be more specific, lncRNA Show less
📄 PDF DOI: 10.3389/fcell.2022.837000
ANGPTL4