👤 Guli Jiang

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873
Articles
597
Name variants
Also published as: Aimin Jiang, Anan Jiang, Bao Jiang, Baoping Jiang, Bei Jiang, Bin Jiang, Bing-Hua Jiang, Bingdong Jiang, Bo Jiang, Bowen Jiang, Caiyun Jiang, Can Jiang, Cen Jiang, Changtao Jiang, Chao Jiang, Chao Qiang Jiang, Chaoqian Jiang, Chaoqiang Jiang, Charlie Jiang, Chen Jiang, Chen-Chen Jiang, Chen-Yang Jiang, Cheng Jiang, Cheng-Yan Jiang, Chengxian Jiang, Chengzhi Jiang, Chenke Jiang, Chenyang Jiang, Chongyi Jiang, Chuanhe Jiang, Chun-Guo Jiang, Chun-Lei Jiang, Chunhui Jiang, Chunmiao Jiang, Chunping Jiang, Chunqing Jiang, Chunyang Jiang, Congqing Jiang, Cui-Ping Jiang, Cuihua Jiang, Cuiping Jiang, Da Jiang, Dahai Jiang, Dan Jiang, Dandan Jiang, Danjie Jiang, Dawei Jiang, Deke Jiang, Dong Jiang, Dong-Neng Jiang, Dongmei Jiang, Dongsheng Jiang, Dongwen Jiang, Dongyang Jiang, F Jiang, Fan Jiang, Fang Jiang, Fangqin Jiang, Fei Jiang, Feng Jiang, Fengjuan Jiang, Fengli Jiang, Fengqi Jiang, Fengxian Jiang, Fengze Jiang, Fu-Sheng Jiang, Fuling Jiang, Gang Jiang, Gaowei Jiang, Gening Jiang, Guan-Min Jiang, Guang Jiang, Guang-Jian Jiang, Guanglong Jiang, Guangpeng Jiang, Guangyu Jiang, Guangzhen Jiang, Guannan Jiang, Gui-Yang Jiang, Guitao Jiang, Guiya Jiang, Guiyang Jiang, Guoheng Jiang, Guoliang Jiang, Guoqiang Jiang, Guoyan Jiang, Guozhi Jiang, H Jiang, Hai-He Jiang, Hai-Lu Jiang, Hai-Lun Jiang, Hai-ou Jiang, Haibo Jiang, Haifang Jiang, Haifeng Jiang, Haijun Jiang, Hailun Jiang, Haiping Jiang, Haiqiang Jiang, Haisong Jiang, Haixing Jiang, Haiyang Jiang, Haiying Jiang, Haizhen Jiang, Han Jiang, Han-Tao Jiang, Hanjie Jiang, Hanxue Jiang, Hao Jiang, Haowen Jiang, He Jiang, Hemin Jiang, Hequn Jiang, Hong Jiang, Hong-Li Jiang, Hong-Yan Jiang, Hong-liu Jiang, Hongcheng Jiang, Hongchi Jiang, Hongjing Jiang, Hongkun Jiang, Hongli Jiang, Hongxiang Jiang, Hongyu Jiang, Houbo Jiang, Hu Jiang, Hua Jiang, Huajun Jiang, Hualiang Jiang, Huanglei Jiang, Huanguo Jiang, Huanyu Jiang, Huanzhu Jiang, Huawei Jiang, Hugang Jiang, Hui Jiang, Hui-Hui Jiang, Huili Jiang, Huiqing Jiang, Huiyong Jiang, J Jiang, Jessica Li Jiang, Ji Jiang, Ji-yao Jiang, Jia Jiang, Jiahao Jiang, Jiahong Jiang, Jian Jiang, Jian-Dong Jiang, Jian-Gang Jiang, Jianan Jiang, Jiandong Jiang, Jianhua Jiang, Jianhui Jiang, Jianming Jiang, Jianrong Jiang, Jiansen Jiang, Jianwei Jiang, Jiaqi Jiang, Jiawei Jiang, Jiaxuan Jiang, Jie Jiang, Jie-Feng Jiang, Jieqing Jiang, Jieyi Jiang, Jiji Jiang, Jin Jiang, Jin-Yan Jiang, Jinfeng Jiang, Jing Jiang, Jing-Si Jiang, Jingbo Jiang, Jinghua Jiang, Jingjing Jiang, Jingwei Jiang, Jingwen Jiang, Jingyan Jiang, Jingzhou Jiang, Jinhong Jiang, Jinhua Jiang, Jinlan Jiang, Jinlun Jiang, Jinxia Jiang, Jinyun Jiang, Jishun Jiang, Jiwei Jiang, Jiyang Jiang, Jiyue Jiang, Jun Jiang, Jun-Jie Jiang, Junfang Jiang, K Jiang, Kai Jiang, Kang Jiang, Ke Jiang, Kele Jiang, Kuan Jiang, Kunyin Jiang, Kuo-Ching Jiang, L Jiang, Lai Jiang, Lan Jiang, Lan-Lan Jiang, Lei Jiang, Li Jiang, Li-Dan Jiang, Li-He Jiang, Li-Hong Jiang, Li-Rong Jiang, Li-Sha Jiang, Lianguang Jiang, Lianyong Jiang, Lihong Jiang, Lihuan Jiang, Lijing Jiang, Lijuan Jiang, Lijun Jiang, Lili Jiang, Lin Jiang, Ling Jiang, Ling-Xiang Jiang, Lingli Jiang, Linglin Jiang, Lingling Jiang, Linke Jiang, Linlin Jiang, Linying Jiang, Liping Jiang, Liqing Jiang, Lishi Jiang, Liuyan Jiang, Lixin Jiang, Liying Jiang, Long Jiang, Longying Jiang, Lu Jiang, Man Jiang, Mei Jiang, Meichen Jiang, Meichun Jiang, Meimei Jiang, Meixiu Jiang, Meng Jiang, Meng-Ting Jiang, Mengjie Jiang, Mengmeng Jiang, Mengqiang Jiang, Mengxi Jiang, Mengxue Jiang, Mengya Jiang, Mengzhu Jiang, Min Jiang, Ming Jiang, Ming-Rui Jiang, Mingchen Jiang, Minghao Jiang, Minghu Jiang, Mingshan Jiang, Mingxing Jiang, Mingyang Jiang, Minqing Jiang, Mona Zhi Ling Mai Jiang, Mouyan Jiang, Mujun Jiang, Nan Jiang, Nanying Jiang, Neng Jiang, Nengjing Jiang, Nili Jiang, Ning Jiang, Ou Jiang, Pan Jiang, Pan-Qiang Jiang, Pei Jiang, Peipei Jiang, Peng Jiang, Pengling Jiang, Ping Jiang, Ping-Ping Jiang, Pu Jiang, Qi Jiang, Qi-Chen Jiang, Qian Jiang, Qiang Jiang, Qianzhu Jiang, Qichen Jiang, Qicheng Jiang, Qin Jiang, Qing Jiang, Qing-Wu Jiang, Qing-Yan Jiang, Qinghua Jiang, Qingkun Jiang, Qingping Jiang, Qinyang Jiang, Qiu Jiang, Qiu-Le Jiang, Qiuxiao Jiang, Qiuyan Jiang, Qiwei Jiang, Qixia Jiang, Renjun Jiang, Rong Jiang, Rongqi Jiang, Rongtao Jiang, Rongyan Jiang, Roulan Jiang, Ru-Chao Jiang, Ruirui Jiang, Ruiwei Jiang, Rulang Jiang, Runqiu Jiang, Runshen Jiang, Runyang Jiang, S Q Jiang, Shali Jiang, Shan Jiang, Shan-Shan Jiang, Shanfeng Jiang, Shanshan Jiang, Shantong Jiang, Shaokai Jiang, Shaoping Jiang, Shaowen Jiang, Shaoxiong Jiang, Sharon Jiang, Sheng Jiang, Shengnan Jiang, Shengwang Jiang, Shengying Jiang, Shi Jiang, Shih Sheng Jiang, ShihSheng Jiang, Shimin Jiang, Shiqing Jiang, Shirui Jiang, Shiwen Jiang, Shou-Yin Jiang, Shoufang Jiang, Shoulei Jiang, Shouwen Jiang, Shu Jiang, Shu-Zhen Jiang, Shuai Jiang, Shuang Jiang, Shusuan Jiang, Shuying Jiang, Shuzhong Jiang, Si-Liang Jiang, Sicong Jiang, Simon W Jiang, Sixiong Jiang, Siyi Jiang, Siyu Jiang, Songhao Jiang, Su Jiang, Sujun Jiang, Susu Jiang, Suyu Jiang, T Jiang, Tao Jiang, Tengfei Jiang, Tengyong Jiang, Tian Jiang, Tianlin Jiang, Tianqi Jiang, Tianyu Jiang, Ting Jiang, Ting-Bo Jiang, Ting-Ting Jiang, Ting-Wang Jiang, Tingbo Jiang, Tingting Jiang, Tingyun Jiang, Tongcui Jiang, W Jiang, Wan-Sheng Jiang, Wangjie Jiang, Wanqing Jiang, Wei I Jiang, Wei Jiang, Wei-Cheng Jiang, Weibo Jiang, Weifan Jiang, Weihao Jiang, Weijun Jiang, Weimin Jiang, Weiqi Jiang, Weixi Jiang, Wen G Jiang, Wen Jiang, Wen-Hua Jiang, Wen-Ping Jiang, Wen-Qi Jiang, Wen-hui Jiang, Wencan Jiang, Wenjuan Jiang, Wenna Jiang, Wenqing Jiang, Wenrong Jiang, Wenyi Jiang, X Jiang, X L Jiang, Xia Jiang, Xian-Cheng Jiang, Xiang Jiang, Xiang-Jun Jiang, Xiangjun Jiang, Xiangning Jiang, Xianta Jiang, Xiao Jiang, Xiao-Cui Jiang, Xiao-Lan Jiang, Xiao-Wen Jiang, Xiao-dan Jiang, Xiaobing Jiang, Xiaocong Jiang, Xiaofei Jiang, Xiaofeng Jiang, Xiaohua Jiang, Xiaohui Jiang, Xiaojuan Jiang, Xiaoli Jiang, Xiaolin Jiang, Xiaolu Jiang, Xiaomin Jiang, Xiaona Jiang, Xiaosong Jiang, Xiaotao Jiang, Xiaoting Jiang, Xiaowen Jiang, Xiaoxiao Jiang, Xiaoxue Jiang, Xiaoyan Jiang, Xiaoyi Jiang, Xiaoyu Jiang, Xihong Jiang, Xijing Jiang, Xin Jiang, Xinfeng Jiang, Xing Jiang, Xinghong Jiang, Xinglin Jiang, Xinhai Jiang, Xinlong Jiang, Xinwei Jiang, Xinyi Jiang, Xinyin Jiang, Xinyue Jiang, Xiong Jiang, Xiufeng Jiang, Xiulong Jiang, Xuanting Jiang, Xue Jiang, Xuejun Jiang, Xueli Jiang, Xuemei Jiang, Xueping Jiang, Xueqin Jiang, Xuexia Jiang, Xueying Jiang, Xuhong Jiang, Xun Jiang, Xunping Jiang, Xunwei Jiang, Y Jiang, Y-D Jiang, Ya-Ping Jiang, Yafei Jiang, Yali Jiang, Yamei Jiang, Yan Jiang, Yan-Yi Jiang, Yanan Jiang, Yanchao Jiang, Yanfang Jiang, Yanfeng Jiang, Yang Jiang, Yangfu Jiang, Yangyang Jiang, Yanji Jiang, Yanle Jiang, Yanming Jiang, Yanping Jiang, Yanshuang Jiang, Yanxin Jiang, Yanyan Jiang, Yanzhi Jiang, Yaofei Jiang, Yaona Jiang, Yaxi Jiang, Yazhuo Jiang, Yexiang Jiang, Yi Jiang, Yi-Xue Jiang, Yiao Jiang, Yida Jiang, Yilin Jiang, Yinan Jiang, Ying Jiang, Ying-Ming Jiang, Yingjie Jiang, Yingsong Jiang, Yingying Jiang, Yinhui Jiang, Yiran Jiang, Yiting Jiang, Yitong Jiang, Yong Fang Jiang, Yong Jiang, Yong-Li Jiang, Yong-Qing Jiang, Yong-Sheng Jiang, Yonghong Jiang, Yonghui Jiang, Yongliang Jiang, Yongpo Jiang, Yongqing Jiang, You-Hua Jiang, Youde Jiang, Youhai Jiang, Youming Jiang, Yu Jiang, Yu-Hang Jiang, Yu-Jia Jiang, Yu-Lin Jiang, Yu-Xuan Jiang, Yu-ping Jiang, Yuan Jiang, Yuanjun Jiang, Yuanyuan Jiang, Yue Jiang, Yue-Ming Jiang, Yue-Ping Jiang, Yuecheng Jiang, Yueping Jiang, Yuer Jiang, Yufeng Jiang, Yuhan Jiang, Yuhang Jiang, Yuhui Jiang, Yumin Jiang, Yun-Jin Jiang, Yunjing Jiang, Yunliang Jiang, Yunsheng Jiang, Yunxiu Jiang, Yunzhe Jiang, Yupeng Jiang, Yutao Jiang, Yuteng Jiang, Yuting Jiang, Yuwei Jiang, Yuwu Jiang, Z Gordon Jiang, Z Jiang, Z Y Jiang, Z-Y Jiang, Ze-Bin Jiang, Zesong Jiang, Zetan Jiang, Zeyu Jiang, Zhao Jiang, Zhao-Yan Jiang, Zhaodi Jiang, Zhaoshi Jiang, Zhen Jiang, Zheng Jiang, Zheng-Yuan Jiang, Zhengfan Jiang, Zhenghui G Jiang, Zhengming Jiang, Zhengqiao Jiang, Zhengwen Jiang, Zhengwu Jiang, Zhengxuan Jiang, Zhengyi Jiang, Zhentao Jiang, Zhi-Sheng Jiang, Zhi-Yan Jiang, Zhi-Ying Jiang, Zhichao Jiang, Zhicong Jiang, Zhiwei Jiang, Zhixia Jiang, Zhixin Jiang, Zhiying Jiang, Zhongshan Jiang, Zi-Hua Jiang, Zichao Jiang, Zipei Jiang, Ziqin Jiang, Ziyi Jiang, Ziying Jiang, Ziyu Jiang, Zong-Zhe Jiang
articles
Xingqin Huang, Linglin Jiang, Ting Li +1 more · 2024 · International journal of laboratory hematology · Blackwell Publishing · added 2026-04-24
no PDF DOI: 10.1111/ijlh.14230
RGS17
Li Liu, Youde Jiang, Mohamed Al-Shabrawey +3 more · 2024 · Molecular vision · added 2026-04-24
To examine whether increased ephrin type-B receptor 1 (EphB1) leads to inflammatory mediators in retinal Müller cells. Diabetic human and mouse retinal samples were examined for EphB1 protein levels. Show more
To examine whether increased ephrin type-B receptor 1 (EphB1) leads to inflammatory mediators in retinal Müller cells. Diabetic human and mouse retinal samples were examined for EphB1 protein levels. Rat Müller cells (rMC-1) were grown in culture and treated with EphB1 siRNA or ephrin B1-Fc to explore inflammatory mediators in cells grown in high glucose. An EphB1 overexpression adeno-associated virus (AAV) was used to increase EphB1 in Müller cells in vivo. Ischemia/reperfusion (I/R) was performed on mice treated with the EphB1 overexpression AAV to explore the actions of EphB1 on retinal neuronal changes in vivo. EphB1 protein levels were increased in diabetic human and mouse retinal samples. Knockdown of EphB1 reduced inflammatory mediator levels in Müller cells grown in high glucose. Ephrin B1-Fc increased inflammatory proteins in rMC-1 cells grown in normal and high glucose. Treatment of mice with I/R caused retinal thinning and loss of cell numbers in the ganglion cell layer. This was increased in mice exposed to I/R and treated with the EphB1 overexpressing AAVs. EphB1 is increased in the retinas of diabetic humans and mice and in high glucose-treated Müller cells. This increase leads to inflammatory proteins. EphB1 also enhanced retinal damage in response to I/R. Taken together, inhibition of EphB1 may offer a new therapeutic option for diabetic retinopathy. Show less
no PDF
RMC1
Danxiang Chen, Jing Jiang, Wei Zhang +4 more · 2024 · Cancer biology & therapy · Taylor & Francis · added 2026-04-24
Tripartite motif-containing protein 50 (TRIM50) is a recently discovered E3 ubiquitin ligase that participates in tumor progression. TRIM50 is overexpressed in many cancers, although few studies focus Show more
Tripartite motif-containing protein 50 (TRIM50) is a recently discovered E3 ubiquitin ligase that participates in tumor progression. TRIM50 is overexpressed in many cancers, although few studies focused on TRIM50's role in breast cancer. We overexpressed TRIM50 in triple-negative breast cancer cell lines using plasmid and found that TRIM50 upregulation markedly reduced breast cancer cell proliferation, clone formation, and migration, as well as promoted breast cancer cell apoptosis. Western blotting revealed that accumulated TRIM50 resulted in both mRNA and protein depletion of SNAI1, and partially attenuated the epithelial-mesenchymal transition (EMT) induced by SNAI1. In this study, we demonstrate that TRIM50 is downregulated in human breast cancer and that its overexpression closely correlates with diminished invasion capacity in breast cancer, suggesting that TRIM50 may serve as a diagnostic marker and therapeutic target. TRIM50 plays a key role in breast cancer proliferation and potentially serves as a prognostic and therapeutic target. Show less
no PDF DOI: 10.1080/15384047.2024.2427410
SNAI1
Mengdie Dong, Yunjia Zhang, Minghong Chen +14 more · 2024 · Acta pharmaceutica Sinica. B · Elsevier · added 2026-04-24
Endothelial-to-mesenchymal transition (EndMT) is a key driver of atherosclerosis. Aerobic glycolysis is increased in the endothelium of atheroprone areas, accompanied by elevated lactate levels. Histo Show more
Endothelial-to-mesenchymal transition (EndMT) is a key driver of atherosclerosis. Aerobic glycolysis is increased in the endothelium of atheroprone areas, accompanied by elevated lactate levels. Histone lactylation, mediated by lactate, can regulate gene expression and participate in disease regulation. However, whether histone lactylation is involved in atherosclerosis remains unknown. Here, we report that lipid peroxidation could lead to EndMT-induced atherosclerosis by increasing lactate-dependent histone H3 lysine 18 lactylation (H3K18la) Show less
no PDF DOI: 10.1016/j.apsb.2024.03.008
SNAI1
Ze Wang, Peng Tang, Haiyang Xiao +16 more · 2024 · The Journal of pathology · Wiley · added 2026-04-24
Metastasis is the primary culprit behind cancer-related fatalities in multiple cancer types, including prostate cancer. Despite great advances, the precise mechanisms underlying prostate cancer metast Show more
Metastasis is the primary culprit behind cancer-related fatalities in multiple cancer types, including prostate cancer. Despite great advances, the precise mechanisms underlying prostate cancer metastasis are far from complete. By using a transgenic mouse prostate cancer model (TRAMP) with and without Phf8 knockout, we have identified a crucial role of PHF8 in prostate cancer metastasis. By complexing with E2F1, PHF8 transcriptionally upregulates SNAI1 in a demethylation-dependent manner. The upregulated SNAI1 subsequently enhances epithelial-to-mesenchymal transition (EMT) and metastasis. Given the role of the abnormally activated PHF8/E2F1-SNAI1 axis in prostate cancer metastasis and poor prognosis, the levels of PHF8 or the activity of this axis could serve as biomarkers for prostate cancer metastasis. Moreover, targeting this axis could become a potential therapeutic strategy for prostate cancer treatment. © 2024 The Pathological Society of Great Britain and Ireland. Show less
no PDF DOI: 10.1002/path.6325
SNAI1
Hua Ying Zhou, Bing Qing Wang, Meng Xuan Chen +3 more · 2024 · Journal of digestive diseases · Blackwell Publishing · added 2026-04-24
We aimed to disclose the molecular mechanism of snail1 in liver fibrosis. Carbon tetrachloride (CCl In fibrosis mice, snail1 was upregulated while ALKBH5 and KDM4C were downregulated. KDM4C overexpres Show more
We aimed to disclose the molecular mechanism of snail1 in liver fibrosis. Carbon tetrachloride (CCl In fibrosis mice, snail1 was upregulated while ALKBH5 and KDM4C were downregulated. KDM4C overexpression reduced serum ALT and AST levels, liver injury, and α-SMA, COL1A1 and VIMENTIN expressions but increased E-cadherin expression. However, the aforementioned trends were reversed by concurrent overexpression of snail1. In HSC-T6 cells exposed to TGF-β1, ALKBH5 overexpression weakened cell viability and migration, downregulated α-SMA, COL1A1 and VIMENTIN, upregulated E-CADHERIN, and decreased m6A modification of snail1 and its mRNA stability. KDM4C increased ALKBH5 expression by lowering H3K9me3 level, but inhibited HSC-T6 cell activation by regulating the ALKBH5/snail1 axis. KDM4C decreases H3K9me3 methylation to upregulate ALKBH5 and subsequently inhibits snail1, ultimately impeding liver fibrosis. Show less
no PDF DOI: 10.1111/1751-2980.13291
SNAI1
Yen-Nien Liu, Wei-Yu Chen, Hsiu-Lien Yeh +9 more · 2024 · Science signaling · Science · added 2026-04-24
Neuroendocrine prostate cancer (PCa) (NEPC), an aggressive subtype that is associated with poor prognosis, may arise after androgen deprivation therapy (ADT). We investigated the molecular mechanisms Show more
Neuroendocrine prostate cancer (PCa) (NEPC), an aggressive subtype that is associated with poor prognosis, may arise after androgen deprivation therapy (ADT). We investigated the molecular mechanisms by which ADT induces neuroendocrine differentiation in advanced PCa. We found that transmembrane protein 1 (MCTP1), which has putative Ca Show less
no PDF DOI: 10.1126/scisignal.adc9142
SNAI1
Liang Wang, Jinsong Li, Mingshan Jiang +7 more · 2024 · Cellular and molecular gastroenterology and hepatology · Elsevier · added 2026-04-24
Dysfunction of the intestinal epithelial barrier comprising the junctional complex of tight junctions and adherent junctions leads to increased intestinal permeability, which is a major cause of uncon Show more
Dysfunction of the intestinal epithelial barrier comprising the junctional complex of tight junctions and adherent junctions leads to increased intestinal permeability, which is a major cause of uncontrolled inflammation related to inflammatory bowel disease (IBD). The NAD The correlation of SIRT1 expression and human IBD was analyzed by GEO or immunohistochemical analyses. BK5.mSIRT1 transgenic mice and wild-type mice were given dextran sodium sulfate (DSS) and the manifestation of colitis-related phenotypes was analyzed. Intestinal permeability was measured by FITC-dextran and cytokines expression was analyzed by quantitative polymerase chain reaction. The expression of the cell junction-related proteins in DSS-treated or SIRT1-knockdown Caco2 or HCT116 cells was analyzed by Western blotting. The effects of nicotinamide mononucleotide in DSS-induced mice colitis were investigated. Correlations of the SIRT1-β-TrCP1-Snail1-Occludin/Claudin-1/E-cadherin pathway with human IBD samples were analyzed. Reduced SIRT1 expression is associated with human IBD specimens. SIRT1 transgenic mice exhibit much-reduced manifestations of DSS-induced colitis. The activation of SIRT1 by nicotinamide mononucleotide bolsters intestinal epithelial barrier function and ameliorates DSS-induced colitis in mice. Mechanistically, DSS downregulates SiRT1 expression, leading to destabilization of β-TrCP1 and upregulation of Snail1, accompanied by reduced expression of E-cadherin, Occludin, and Claudin-1, consequently resulting in increased epithelial permeability and inflammation. The deregulated SIRT1-β-TrCP1-Snail1-Occludin/Claudin-1/E-cadherin pathway correlates with human IBD. SIRT1 is pivotal in maintaining the intestinal epithelial barrier integrity via modulation of the β-TrCP1-Snail1-E-cadhein/Occludin/Claudin-1 pathway. Show less
no PDF DOI: 10.1016/j.jcmgh.2024.05.002
SNAI1
Linqing Pan, Fuquan Zhu, Aochen Yu +8 more · 2024 · Gene · Elsevier · added 2026-04-24
The trophoblast epithelial-to-mesenchymal transition (EMT) is a procedure related to embryo implantation, spiral artery establishment and fetal-maternal communication, which is a key event for success Show more
The trophoblast epithelial-to-mesenchymal transition (EMT) is a procedure related to embryo implantation, spiral artery establishment and fetal-maternal communication, which is a key event for successful pregnancy. Inadequate EMT is one of the pathological mechanisms of recurrent miscarriage (RM). Whole-exome sequencing revealed that the mutation of bromodomain PHD-finger transcription factor (BPTF) was strongly associated with RM. In the present study, the effects of BPTF on EMT and the underlying mechanism were investigated. We found that the expression of BPTF in the villi of RM patients was significantly downregulated. Gene Ontology (GO) analysis revealed that BPTF participated in cell adhesion. The knockdown of BPTF prevented EMT and attenuated trophoblast invasion in vitro. BPTF activated Slug transcription by binding directly to the promoter region of the Slug gene. Interestingly, the protein levels of both Slug and BPTF were decreased in the villous cytotrophoblasts (VCTs) of RM villi. In conclusion, BPTF participates in the regulation of trophoblast EMT by activating Slug expression, suggesting that BPTF defects are an important factor in RM pathogenesis. Show less
no PDF DOI: 10.1016/j.gene.2024.148405
SNAI1
Miao Hao, Hongyu Jiang, Yuan Zhao +2 more · 2024 · Stem cell research & therapy · BioMed Central · added 2026-04-24
The clinical application of human bone-marrow derived mesenchymal stem cells (MSCs) for the treatment of refractory diseases has achieved remarkable results. However, there is a need for a systematic Show more
The clinical application of human bone-marrow derived mesenchymal stem cells (MSCs) for the treatment of refractory diseases has achieved remarkable results. However, there is a need for a systematic evaluation of the quality and safety of MSCs sourced from donors. In this study, we sought to assess one potential factor that might impact quality, namely the age of the donor. We downloaded two data sets from each of two Gene Expression Omnibus (GEO), GSE39035 and GSE97311 databases, namely samples form young (< 65 years of age) and old (> 65) donor groups. Through, bioinformatics analysis and experimental validation to these retrieved data, we found that MSCs derived from aged donors can lead to differential expression of gene profiles compared with those from young donors, and potentially affect the function of MSCs, and may even induce malignant tumors. We identified a total of 337 differentially expressed genes (DEGs), including two upregulated and eight downregulated genes from the databases of both GSE39035 and GSE97311. We further identified 13 hub genes. Six of them, TBX15, IGF1, GATA2, PITX2, SNAI1 and VCAN, were highly expressed in many human malignancies in Human Protein Atlas database. In the MSCs in vitro senescent cell model, qPCR analysis validated that all six hub genes were highly expressed in senescent MSCs. Our findings confirm that aged donors of MSCs have a significant effect on gene expression profiles. The MSCs from old donors have the potential to cause a variety of malignancies. These TBX15, IGF1, GATA2, PITX2, SNAI1, VCAN genes could be used as potential biomarkers to diagnosis aging state of donor MSCs, and evaluate whether MSCs derived from an aged donor could be used for therapy in the clinic. Our findings provide a diagnostic basis for the clinical use of MSCs to treat a variety of diseases. Therefore, our findings not only provide guidance for the safe and standardized use of MSCs in the clinic for the treatment of various diseases, but also provide insights into the use of cell regeneration approaches to reverse aging and support rejuvenation. Show less
no PDF DOI: 10.1186/s13287-024-03689-1
SNAI1
Chenxiao Huang, Tao Jiang, Wen Pan +5 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Arboviruses, transmitted by medical arthropods, pose a serious health threat worldwide. During viral infection, Post Translational Modifications (PTMs) are present on both host and viral proteins, reg Show more
Arboviruses, transmitted by medical arthropods, pose a serious health threat worldwide. During viral infection, Post Translational Modifications (PTMs) are present on both host and viral proteins, regulating multiple processes of the viral lifecycle. In this study, a mammalian E3 ubiquitin ligase WWP2 (WW domain containing E3 ubiquitin ligase 2) is identified, which interacts with the NS1 protein of Zika virus (ZIKV) and mediates K63 and K48 ubiquitination of Lys 265 and Lys 284, respectively. WWP2-mediated NS1 ubiquitination leads to NS1 degradation via the ubiquitin-proteasome pathway, thereby inhibiting ZIKV infection in mammalian hosts. Simultaneously, it is found Su(dx), a protein highly homologous to host WWP2 in mosquitoes, is capable of ubiquitinating NS1 in mosquito cells. Unexpectedly, ubiquitination of NS1 in mosquitoes does not lead to NS1 degradation; instead, it promotes viral infection in mosquitoes. Correspondingly, the NS1 K265R mutant virus is less infectious to mosquitoes than the wild-type (WT) virus. The above results suggest that the ubiquitination of the NS1 protein confers different adaptations of ZIKV to hosts and vectors, and more importantly, this explains why NS1 K265-type strains have become predominantly endemic in nature. This study highlights the potential application in antiviral drug and vaccine development by targeting viral proteins' PTMs. Show less
no PDF DOI: 10.1002/advs.202408024
WWP2
Huimei Chen, Ran You, Jing Guo +14 more · 2024 · Journal of the American Society of Nephrology : JASN · added 2026-04-24
WWP2 expression is elevated in the tubulointerstitium of fibrotic kidneys and contributes to CKD pathogenesis and progression. WWP2 uncouples the profibrotic activation and cell proliferation in renal Show more
WWP2 expression is elevated in the tubulointerstitium of fibrotic kidneys and contributes to CKD pathogenesis and progression. WWP2 uncouples the profibrotic activation and cell proliferation in renal myofibroblasts. WWP2 controls mitochondrial respiration in renal myofibroblasts through the metabolic regulator peroxisome proliferator-activated receptor gamma coactivator 1-alpha. Renal fibrosis is a common pathologic end point in CKD that is challenging to reverse, and myofibroblasts are responsible for the accumulation of a fibrillar collagen–rich extracellular matrix. Recent studies have unveiled myofibroblasts' diversity in proliferative and fibrotic characteristics, which are linked to different metabolic states. We previously demonstrated the regulation of extracellular matrix genes and tissue fibrosis by WWP2, a multifunctional E3 ubiquitin–protein ligase. Here, we investigate WWP2 in renal fibrosis and in the metabolic reprograming of myofibroblasts in CKD. We used kidney samples from patients with CKD and The tubulointerstitial expression of WWP2 was associated with fibrotic progression in patients with CKD and in murine kidney disease models. WWP2 deficiency promoted myofibroblast proliferation and halted profibrotic activation, reducing the severity of renal fibrosis WWP2 regulates the metabolic reprogramming of profibrotic myofibroblasts by a WWP2-PGC-1 Show less
no PDF DOI: 10.1681/ASN.0000000000000328
WWP2
Shu Zhang, Yan Jiang, Lu Zhou +4 more · 2024 · Cancer research and treatment · added 2026-04-24
Molecular residual disease (MRD) is the main cause of postoperative recurrence of breast cancer. However, the baseline tumor genomic characteristics and therapeutic implications of breast cancer patie Show more
Molecular residual disease (MRD) is the main cause of postoperative recurrence of breast cancer. However, the baseline tumor genomic characteristics and therapeutic implications of breast cancer patients with detectable MRD after surgery are still unknown. In this study, we enrolled 80 patients with breast cancer who underwent next-generation sequencing-based genetic testing of 1,021 cancer-related genes performed on baseline tumor and postoperative plasma, among which 18 patients had detectable MRD after surgery. Baseline clinical characteristics found that patients with higher clinical stages were more likely to have detectable MRD. Analysis of single nucleotide variations and small insertions/deletions in baseline tumors showed that somatic mutations in MAP3K1, ATM, FLT1, GNAS, POLD1, SPEN, and WWP2 were significantly enriched in patients with detectable MRD. Oncogenic signaling pathway analysis revealed that alteration of the Cell cycle pathway was more likely to occur in patients with detectable MRD (p=0.012). Mutational signature analysis showed that defective DNA mismatch repair and activation-induced cytidine deaminase (AID) mediated somatic hypermutation (SHM) were associated with detectable MRD. According to the OncoKB database, 77.8% (14/18) of patients with detectable MRD had U.S. Food and Drug Administration-approved mutational biomarkers and targeted therapy. Our study reports genomic characteristics of breast cancer patients with detectable MRD. The cell cycle pathway, defective DNA mismatch repair, and AID-mediated SHM were found to be the possible causes of detectable MRD. We also found the vast majority of patients with detectable MRD have the opportunity to access targeted therapy. Show less
no PDF DOI: 10.4143/crt.2023.1059
WWP2
Xiahui Wu, Jie Wu, Tingting Dai +5 more · 2024 · Journal of pharmaceutical analysis · Elsevier · added 2026-04-24
β-elemene has been observed to exert inhibitory effects on a multitude of tumors, primarily through multiple pathways such as the inhibition of cancer cell proliferation and the induction of apoptosis Show more
β-elemene has been observed to exert inhibitory effects on a multitude of tumors, primarily through multiple pathways such as the inhibition of cancer cell proliferation and the induction of apoptosis. The present study is designed to elucidate the role and underlying mechanisms of β-elemene in the therapeutic intervention of non-small cell lung cancer (NSCLC). Both Show less
no PDF DOI: 10.1016/j.jpha.2024.03.002
ZC3H4
Peng Jiang, Ningyuan Sun, Wen Yang +9 more · 2023 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
To develop and investigate an imbalanced dual gastric inhibitory polypeptide receptor (GIPR)/glucagon-like peptide-1 receptor (GLP-1 R) agonist with Fc fusion protein structure. We designed and constr Show more
To develop and investigate an imbalanced dual gastric inhibitory polypeptide receptor (GIPR)/glucagon-like peptide-1 receptor (GLP-1 R) agonist with Fc fusion protein structure. We designed and constructed an Fc fusion protein that is a dual agonist (HEC-CG115) with an empirically optimized potency ratio for GLP-1R and GIPR. The long-term effects of HEC-CG115 on body weight and glycaemic control were evaluated in diet-induced obese mice and diabetic db/db mice. Repeat dose toxicity assays were performed to investigate the safety profile of HEC-CG115 in Sprague-Dawley rats. HEC-CG115 displayed high potency for GIPR and relatively low potency for GLP-1R, and we labelled it 'imbalanced'. In animal models, HEC-CG115 (3 nmol/kg) led to more weight loss than semaglutide at a higher dose (10 nmol/kg) in diet-induced obese model mice. HEC-CG115 (one dose every 3 days) reduced fasting blood glucose and glycated haemoglobin levels similar to those after semaglutide (once daily) at the same dose. In a 4-week subcutaneous toxicity study conducted to assess the biosafety of HEC-CG115, the no observed adverse effect level was determined to be 3 mg/kg. HEC-CG115 is a novel Fc fusion protein with imbalanced dual agonism that shows superior weight loss, glycaemic control and metabolic improvement in animal models, and has an optimal safety profile according to a repeat-dose toxicity study. Therefore, the use of HEC-CG115 appears to be safe and effective for the treatment of obesity and type 2 diabetes. Show less
no PDF DOI: 10.1111/dom.15235
GIPR
Xuefeng Wang, Sicong Jiang, Xinhong Zhou +3 more · 2023 · Oncology research · added 2026-04-24
Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunother Show more
Pancreatic cancer is associated with high mortality and is one of the most aggressive of malignancies, but studies have not fully evaluated its molecular subtypes, prognosis and response to immunotherapy of different subtypes. The purpose of this study was to explore the molecular subtypes and the key genes associated with the prognosis of pancreas cancer patients and study the clinical phenotype, prognosis and response to immunotherapy using single-cell seq data and bulk RNA seq data, and data retrieved from GEO and TCGA databases. Single-cell seq data and bioinformatics methods were used in this study. Pancreatic cancer data were retrieved from GEO and TCGA databases, the molecular subtypes of pancreatic cancer were determined using the six cGAS-STING related pathways, and the clinical phenotype, mutation, immunological characteristics and pathways related to pancreatic cancer were evaluated. Pancreatic cancer was classified into 3 molecular subtypes, and survival analysis revealed that patients in Cluster3 (C3) had the worst prognosis, whereas Cluster1 (C1) had the best prognosis. The clinical phenotype and gene mutation were statistically different among the three molecular subtypes. Analysis of immunotherapy response revealed that most immune checkpoint genes were differentially expressed in the three subtypes. A lower risk of immune escape was observed in Cluster1 (C1), indicating higher sensitivity to immunotherapeutic drugs and subjects in this Cluster are more likely to benefit from immunotherapy. The pathways related to pancreatic cancer were differentially enriched among the three subtypes. Five genes, namely SFRP1, GIPR, EMP1, COL17A and CXCL11 were selected to construct a prognostic signature. Single-cell seq data were to classify pancreatic cancer into three molecular subtypes based on differences in clinical phenotype, mutation, immune characteristics and differentially enriched pathways. Five prognosis-related genes were identified for prediction of survival of pancreatic cancer patients and to evaluate the efficacy of immunotherapy in various subtypes. Show less
📄 PDF DOI: 10.32604/or.2023.029458
GIPR
Yuanzhong Xu, Zhiying Jiang, Hongli Li +6 more · 2023 · Cell reports · Elsevier · added 2026-04-24
The melanocortin pathway is well established to be critical for body-weight regulation in both rodents and humans. Despite extensive studies focusing on this pathway, the downstream brain sites that m Show more
The melanocortin pathway is well established to be critical for body-weight regulation in both rodents and humans. Despite extensive studies focusing on this pathway, the downstream brain sites that mediate its action are not clear. Here, we found that, among the known paraventricular hypothalamic (PVH) neuron groups, those expressing melanocortin receptors 4 (PVH Show less
📄 PDF DOI: 10.1016/j.celrep.2023.112502
MC4R
Hongli Li, Yuanzhong Xu, Yanyan Jiang +9 more · 2023 · Nature communications · Nature · added 2026-04-24
The melanocortin action is well perceived for its ability to regulate body weight bidirectionally with its gain of function reducing body weight and loss of function promoting obesity. However, this n Show more
The melanocortin action is well perceived for its ability to regulate body weight bidirectionally with its gain of function reducing body weight and loss of function promoting obesity. However, this notion cannot explain the difficulty in identifying effective therapeutics toward treating general obesity via activation of the melanocortin action. Here, we provide evidence that altered melanocortin action is only able to cause one-directional obesity development. We demonstrate that chronic inhibition of arcuate neurons expressing proopiomelanocortin (POMC) or paraventricular hypothalamic neurons expressing melanocortin receptor 4 (MC4R) causes massive obesity. However, chronic activation of these neuronal populations failed to reduce body weight. Furthermore, gain of function of the melanocortin action through overexpression of MC4R, POMC or its derived peptides had little effect on obesity prevention or reversal. These results reveal a bias of the melanocortin action towards protection of weight loss and provide a neural basis behind the well-known, but mechanistically ill-defined, predisposition to obesity development. Show less
📄 PDF DOI: 10.1038/s41467-023-37912-z
MC4R
Xiaochen Guo, Lishuang Geng, Chaoqian Jiang +4 more · 2023 · Animal biotechnology · Taylor & Francis · added 2026-04-24
Multiplex gene modifications are highly required for various fields of porcine research. In many species, the CRISPR/Cas9 system has been widely applied for genomic editing and provides a potential to Show more
Multiplex gene modifications are highly required for various fields of porcine research. In many species, the CRISPR/Cas9 system has been widely applied for genomic editing and provides a potential tool for introducing multiplex genome mutations simultaneously. Here, we present a CRISPR-Cas9 gRNA-tRNA array (GTR-CRISPR) for multiplexed engineering of porcine fetal fibroblasts (PFFs). We successfully produced multiple sgRNAs using only one Pol III promoter by taking advantage of the endogenous tRNA processing mechanism in porcine cells. Using an all-in-one construct carrying GTR and Cas9, we disrupted the Show less
no PDF DOI: 10.1080/10495398.2023.2187402
MC4R
Uday Singh, Kenji Saito, Michael Z Khan +8 more · 2023 · Physiology & behavior · Elsevier · added 2026-04-24
Hippocampal dysfunction is associated with major depressive disorder, a serious mental illness characterized by not only depressed mood but also appetite disturbance and dysregulated body weight. Howe Show more
Hippocampal dysfunction is associated with major depressive disorder, a serious mental illness characterized by not only depressed mood but also appetite disturbance and dysregulated body weight. However, the underlying mechanisms by which hippocampal circuits regulate metabolic homeostasis remain incompletely understood. Here we show that collateralizing melanocortin 4 receptor (MC4R) circuits in the ventral subiculum (vSUB), one of the major output structures of the hippocampal formation, affect food motivation and energy balance. Viral-mediated cell type- and projection-specific input-output circuit mapping revealed that the nucleus accumbens shell (NAcSh)-projecting vSUB Show less
📄 PDF DOI: 10.1016/j.physbeh.2023.114105
MC4R
Stefan Wagner, Daniel I Brierley, Alasdair Leeson-Payne +12 more · 2023 · Molecular metabolism · Elsevier · added 2026-04-24
Overweight and obesity are endemic in developed countries, with a substantial negative impact on human health. Medications developed to treat obesity include agonists for the G-protein coupled recepto Show more
Overweight and obesity are endemic in developed countries, with a substantial negative impact on human health. Medications developed to treat obesity include agonists for the G-protein coupled receptors glucagon-like peptide-1 (GLP-1R; e.g. liraglutide), serotonin 2C (5-HT We profiled PPG neurons in the nucleus of the solitary tract (PPG We found that 5-HT These findings identify a necessary mechanism through which obesity medication lorcaserin produces its therapeutic benefit, namely brainstem PPG Show less
📄 PDF DOI: 10.1016/j.molmet.2022.101665
MC4R
Hui-Xia Yu, Yang Li, De-Bin Zhong +7 more · 2023 · Fish physiology and biochemistry · Springer · added 2026-04-24
Melanocortin 3 and 4 receptors are two important neural G protein-coupled receptors that regulate energy homeostasis in vertebrates. Melanocortin receptor accessory protein 2 (MRAP2) is also involved Show more
Melanocortin 3 and 4 receptors are two important neural G protein-coupled receptors that regulate energy homeostasis in vertebrates. Melanocortin receptor accessory protein 2 (MRAP2) is also involved in the regulation of food intake and body weight as a variable regulator of melanocortin receptors. Rainbow trout (Oncorhynchus mykiss) is a valuable cold-water fish cultured worldwide. In the rainbow trout model, we cloned and identified mrap2a, a paralog of mrap2. Rainbow trout mrap2a consisted of a 690 bp ORF and was expected to encode a putative protein of 229 amino acids. The qPCR results showed that rainbow trout mrap2a was expressed at high levels in brain tissue similar to mc3r and mc4r. In addition, co-immunoprecipitation verified that MRAP2a interacts with MC3R and MC4R in vitro and that MRAP2a is involved in and regulates the constitutive activity and signaling of MC3R and MC4R. MRAP2a reduced constitutive and agonist-stimulated cAMP levels of MC3R; furthermore, MRAP2a increased constitutive ERK1/2 activation but reduced ligand-induced stimulation at high levels of expression. For MC4R, MRAP2a showed decreased cAMP basal activity but increased agonist-stimulated cAMP signaling and increased ACTH ligand sensitivity. However, MRAP2a failed to affect MC4R constitutive activity and agonist-induced ERK1/2 signaling. Undoubtedly, our study will have great significance for revealing the conserved role of MC4R and MC3R signaling in teleost fish, especially in cold-water fish growth and energy homeostasis. Show less
📄 PDF DOI: 10.1007/s10695-022-01159-0
MC4R
Junaid Iqbal, Hong-Li Jiang, Hui-Xuan Wu +7 more · 2023 · Genes & diseases · Elsevier · added 2026-04-24
Severe insulin resistance has been linked to some of the most globally prevalent disorders, such as diabetes mellitus, nonalcoholic fatty liver disease, polycystic ovarian syndrome, and hypertension. Show more
Severe insulin resistance has been linked to some of the most globally prevalent disorders, such as diabetes mellitus, nonalcoholic fatty liver disease, polycystic ovarian syndrome, and hypertension. Hereditary severe insulin resistance syndrome (H-SIRS) is a rare disorder classified into four principal categories: primary insulin receptor defects, lipodystrophies, complex syndromes, and obesity-related H-SIRS. Genes such as Show less
📄 PDF DOI: 10.1016/j.gendis.2022.03.016
MC4R
Gaowei Jiang, Yin Li, Geng Cheng +7 more · 2023 · Marine biotechnology (New York, N.Y.) · Springer · added 2026-04-24
Heterosis, also known as hybrid vigor, is widely used in aquaculture, but the molecular causes for this phenomenon remain obscure. Here, we conducted a transcriptome analysis to unveil the gene expres Show more
Heterosis, also known as hybrid vigor, is widely used in aquaculture, but the molecular causes for this phenomenon remain obscure. Here, we conducted a transcriptome analysis to unveil the gene expression patterns and molecular bases underlying thermo-resistant heterosis in Crassostrea gigas ♀ × Crassostrea angulata ♂ (GA) and C. angulata ♀ × C. gigas ♂ (AG). About 505 million clean reads were obtained, and 38,210 genes were identified, of which 3779 genes were differentially expressed between the reciprocal hybrids and purebreds. The global gene expression levels were toward the C. gigas genome in the reciprocal hybrids. In GA and AG, 95.69% and 92.00% of the differentially expressed genes (DEGs) exhibited a non-additive expression pattern, respectively. We observed all gene expression modes, including additive, partial dominance, high and low dominance, and under- and over-dominance. Of these, 77.52% and 50.00% of the DEGs exhibited under- or over-dominance in GA and AG, respectively. The over-dominance DEGs common to reciprocal hybrids were significantly enriched in protein folding, protein refolding, and intrinsic apoptotic signaling pathway, while the under-dominance DEGs were significantly enriched in cell cycle. As possible candidate genes for thermo-resistant heterosis, GRP78, major egg antigen, BAG, Hsp70, and Hsp27 were over-dominantly expressed, while MCM6 and ANAPC4 were under-dominantly expressed. This study extends our understanding of the thermo-resistant heterosis in oysters. Show less
📄 PDF DOI: 10.1007/s10126-023-10197-5
ANAPC4
Siqin Chen, Jia Jiang, Minhong Su +9 more · 2023 · BMC infectious diseases · BioMed Central · added 2026-04-24
The morbidity and mortality of community-acquired pneumonia (CAP) remain high among infectious diseases. It was reported that angiopoietin-like 4 (ANGPTL4) could be a diagnostic biomarker and a therap Show more
The morbidity and mortality of community-acquired pneumonia (CAP) remain high among infectious diseases. It was reported that angiopoietin-like 4 (ANGPTL4) could be a diagnostic biomarker and a therapeutic target for pneumonia. This study aimed to develop a more objective, specific, accurate, and individualized scoring system to predict the severity of CAP. Totally, 31 non-severe community-acquired pneumonia (nsCAP) patients and 14 severe community-acquired pneumonia (sCAP) patients were enrolled in this study. The CURB-65 and pneumonia severity index (PSI) scores were calculated from the clinical data. Serum ANGPTL4 level was measured by enzyme-linked immunosorbent assay (ELISA). After screening factors by univariate analysis and receiver operating characteristic (ROC) curve analysis, multivariate logistic regression analysis of ANGPTL4 expression level and other risk factors was performed, and a nomogram was developed to predict the severity of CAP. This nomogram was further internally validated by bootstrap resampling with 1000 replications through the area under the ROC curve (AUC), the calibration curve, and the decision curve analysis (DCA). Finally, the prediction performance of the new nomogram model, CURB-65 score, and PSI score was compared by AUC, net reclassification index (NRI), and integrated discrimination improvement (IDI). A nomogram for predicting the severity of CAP was developed using three factors (C-reactive protein (CRP), procalcitonin (PCT), and ANGPTL4). According to the internal validation, the nomogram showed a great discrimination capability with an AUC of 0.910. The Hosmer-Lemeshow test and the approximately fitting calibration curve suggested a satisfactory accuracy of prediction. The results of DCA exhibited a great net benefit. The AUC values of CURB-65 score, PSI score, and the new prediction model were 0.857, 0.912, and 0.940, respectively. NRI comparing the new model with CURB-65 score was found to be statistically significant (NRI = 0.834, P < 0.05). A robust model for predicting the severity of CAP was developed based on the serum ANGPTL4 level. This may provide new insights into accurate assessment of the severity of CAP and its targeted therapy, particularly in the early-stage of the disease. Show less
📄 PDF DOI: 10.1186/s12879-023-08648-4
ANGPTL4
Xin Qi, MiaoMiao Bie, Runyang Jiang +1 more · 2023 · Archives of oral biology · Elsevier · added 2026-04-24
The mechanism of alveolar bone resorption caused by periodontitis is not fully understood. We sought to investigate whether microenvironmental changes of local hypoxia are involved in these processes. Show more
The mechanism of alveolar bone resorption caused by periodontitis is not fully understood. We sought to investigate whether microenvironmental changes of local hypoxia are involved in these processes. In this study, periodontitis models of control mice and knockout of Hypoxia Induced Factor 1α (HIF-1α) harboring Cathepsin K (CTSK) Cre mice were constructed to study the effect of osteoclasts affected by hypoxic environment on alveolar bone resorption. RAW264.7 cells were subsequently induced by CoCl The degree of alveolar bone resorption in the periodontitis tissues was lesser in mice with conditional knockout of HIF-1α in osteoclasts than in wild-type mice. We also observed that HIF-1α conditional knockout mice had fewer osteoclasts on the alveolar bone surface than control mice. HIF-1α increases the expression of ANGPTL4 and promotes the differentiation of RAW264.7 cells into osteoblasts and cell fusion under chemically simulated hypoxic conditions. HIF-1α regulates osteoclastogenesis and participates in bone resorption in periodontitis through ANGPTL4. Show less
no PDF DOI: 10.1016/j.archoralbio.2023.105736
ANGPTL4
Zhiwei Cai, Yang Li, Mingjian Ma +4 more · 2023 · Oncology reports · added 2026-04-24
Locally advanced and metastatic pancreatic cancer (PC) frequently grows in adipose tissue and has a poor prognosis. Although adipose tissue is largely composed of adipocytes, the mechanisms by which a Show more
Locally advanced and metastatic pancreatic cancer (PC) frequently grows in adipose tissue and has a poor prognosis. Although adipose tissue is largely composed of adipocytes, the mechanisms by which adipocytes impact PC are poorly understood. Using an Show less
📄 PDF DOI: 10.3892/or.2023.8578
ANGPTL4
Chenxi Zhu, Wenzong Zhou, Mingming Han +4 more · 2023 · The Science of the total environment · Elsevier · added 2026-04-24
Microplastics and nanoplastics (MPs and NPs) are abundant, persistent, and widespread environmental pollutants that are of increasing concern as they pose a serious threat to ecosystems and aquatic sp Show more
Microplastics and nanoplastics (MPs and NPs) are abundant, persistent, and widespread environmental pollutants that are of increasing concern as they pose a serious threat to ecosystems and aquatic species. Identifying the ecological effects of NPs pollution requires understanding the effects of changing nanoplastics concentrations in aquatic organisms. Monopterus albus were orally fed three different concentrations of 100 nm polystyrene nanoplastics (PS-NPs): 0.05 %, 0.5 %, and 1 % of the feed for 28 days. Nanoplastics significantly activated the PPAR signaling pathway, Acyl-CoA oxidase 1 (ACOX1), carnitine palmitoyltransferase 1a (CPT1A), angiopoietin-like 4 (ANGPTL4), and phosphoenolpyruvate carboxykinase (PCK) at the mRNA level, resulting in disturbed lipid metabolism. Glutathione peroxidase (GSH-px) activity, catalase (CAT) activity, and malondialdehyde (MDA) were significantly elevated in the high nanoplastics-feeding exposure group, leading to oxidative stress in the liver. Overexpression of the cytokines genes Interleukin 1 (IL1B) and Interleukin-8 (IL8), Tumor necrosis factor alpha (TNF-α), activation of MAPK signaling pathway, and increased gene expression of c-Jun amino-terminal kinases (JNK) and p38 indicate that exposure to NPs may lead to hepatopancreas apoptosis through oxidative stress and inflammation. In summary, dietary PS-NPs exposure alters hepatic glycolipid metabolism, triggering inflammatory responses and apoptosis in M. albus. The results of this study provide valuable ecotoxicological data for a better understanding of the biological fate and effects of nanoplastics in M. albus. Show less
no PDF DOI: 10.1016/j.scitotenv.2023.164460
ANGPTL4
Qi Jiang, Ruolan Miao, Yuhuan Wang +8 more · 2023 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Polycystic ovary syndrome (PCOS) is one of the most common, heterogenous endocrine disorders and is the leading cause of ovulatory obstacle associated with abnormal folliculogenesis. Dysfunction of ov Show more
Polycystic ovary syndrome (PCOS) is one of the most common, heterogenous endocrine disorders and is the leading cause of ovulatory obstacle associated with abnormal folliculogenesis. Dysfunction of ovarian granulosa cells (GCs) is recognized as a major factor that underlies abnormal follicle maturation. Angiopoietin-like 4 (ANGPTL4) expression in GCs differs between patients with and without PCOS. However, the role and mechanism of ANGPTL4 in impaired follicular development are still poorly understood. Here, the case-control study was designed to investigate the predictive value of ANGPTL4 in PCOS while cell experiments in vitro were set for mechanism research. Results found that ANGPTL4 levels in serum and in follicular fluid, and its expression in GCs, were upregulated in patients with PCOS. In KGN and SVOG cells, upregulation of ANGPTL4 inhibited the proliferation of GCs by blocking G1/S cell cycle progression, as well as the molecular activation of the EGFR/JAK1/STAT3 cascade. Moreover, the STAT3-dependent CDKN1A(p21) promoter increased CDKN1A transcription, resulting in remarkable suppression effect on GCs. Together, our results demonstrated that overexpression of ANGPTL4 inhibited the proliferation of GCs through EGFR/JAK1/STAT3-mediated induction of p21, thus providing a novel epigenetic mechanism for the pathogenesis of PCOS. Show less
no PDF DOI: 10.1096/fj.202201246RR
ANGPTL4
Yubin Xu, Qi Chen, Yongpo Jiang +3 more · 2023 · Journal of proteome research · ACS Publications · added 2026-04-24
Sepsis is a systemic inflammatory response syndrome caused by infection, which has no specific drug at present. UMI-77 can significantly improve the survival rate of septic mice; the detailed role of Show more
Sepsis is a systemic inflammatory response syndrome caused by infection, which has no specific drug at present. UMI-77 can significantly improve the survival rate of septic mice; the detailed role of UMI-77 and its underlying mechanisms in sepsis are not clear. Inflammation array glass chip and proteomic analyses were performed to elucidate the latent mechanism of UMI-77 in the treatment of sepsis. The results showed that 7.0 mg/kg UMI-77 improved the 5 day survival rate in septic mice compared to the LPS group (60.964 vs 9.779%) and ameliorated the pathological conditions. Inflammation array glass chip analysis showed that sepsis treatment with UMI-77 may eventually through the suppression of the characteristic inflammatory storm-related cytokines such as KC, RANTES, LIX, IL-6, eotaxin, TARC, IL-1β, and so on. Proteomics analysis showed that 213 differential expression proteins and complement and coagulation cascades were significantly associated with the process for the UMI-77 treatment of sepsis. The top 10 proteins including Apoa2, Tgfb1, Serpinc1, Vtn, Apoa4, Cat, Hp, Serpinf2, Fgb, and Serpine1 were identified and verified, which play important roles in the mechanism of UMI-77 in the treatment of sepsis. Our findings indicate that UMI-77 exerts an antisepsis effect by modulating the complement cascade pathway and inhibiting inflammatory storm factors. Show less
no PDF DOI: 10.1021/acs.jproteome.3c00317
APOA4