👤 Qi Hu

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
921
Articles
642
Name variants
Also published as: Cheng-En Hu, Zhiqiang Hu, Xiao Hu, Sangyu Hu, Xiaoxia Hu, Yijia Hu, Li-Ling Hu, Min HU, Lanxin Hu, Yu-Sheng Hu, Lingmin Hu, Chenghong Hu, Xue Hu, Haitian Hu, Xiaolin Hu, An Hu, Ziwei Hu, Jessie J Hu, Lufeng Hu, Chang-Jiang Hu, Lidan Hu, Xixi Hu, Wenhui Hu, Xinyao Hu, Mandong Hu, Xingdi Hu, Qiao Hu, Chunmiao Hu, Chiao-Feng Hu, Kelly A Hu, Yali Hu, Jingjing Hu, Yang-Xi Hu, Jinxin Hu, Kaishun Hu, Xiaojing Hu, Fengqing Hu, Hong-Kang Hu, Jun Hu, Wenbo Hu, Chengyuan Hu, Linfeng Hu, Hong-Zhen Hu, Fangfang Hu, Tingxi Hu, Hanning Hu, Yepeng Hu, Liang Hu, Yujie Hu, Dingheng Hu, Lihong Hu, Chuanyin Hu, Tianyu Hu, Xinli Hu, Haitao Hu, Zuomin Hu, Pengfei Hu, Linglong Hu, L-S Hu, Shichuan Hu, Hao Hu, X Hu, Da-Yi Hu, Sai Hu, Zongyun Hu, Huaqing Hu, Dongjie Hu, Wei Hu, Yanqing Hu, Hongfeng Hu, Shan Hu, Zhilin Hu, Yameng Hu, Frank B Hu, Yushi Hu, Ronggui Hu, Shuang Hu, Xiangyu Hu, Frank Hu, Chang-Chen Hu, Chunli Hu, Zeping Hu, Haidai Hu, Jiafeng Hu, Zhonglan Hu, Wen Hu, Kunlong Hu, Guozhang Hu, Ji Hu, Lipeng Hu, G-X Hu, Limin Hu, Yating Hu, Jiahao Hu, Jin-Wu Hu, Yinghui Hu, Fangdi Hu, Wangxing Hu, Zhengmao Hu, Shiyan Hu, Xinyu Hu, Guoliang Hu, Chen Hu, Qilong Hu, Shaofan Hu, Xiaozhi Hu, Songjie Hu, Xinrong Hu, Peizhen Hu, Xiao-Hui Hu, Anyi Hu, Zhangxue Hu, Dayi Hu, Hai Hu, Yueming Hu, Ya-Hui Hu, Hui-Jun Hu, Nan Hu, Hongling Hu, Zhixing Hu, Zhijie Hu, Yingying Hu, Xiaowen Hu, Erqiang Hu, Danhui Hu, Xueda Hu, Simin Hu, Haochang Hu, Xiaobin Hu, Mengjie Hu, Zengyun Hu, Su-Wei Hu, Kai Hu, Yangfan Hu, Ting Hu, Zuojian Hu, Xiaofeng Hu, Yunyan Hu, Wenxin Hu, Chuan Hu, Jiqiang Hu, Bo Hu, Jie Hu, Zhi-bin Hu, Guangyu Hu, Tingwei Hu, Yuqiu Hu, Fang-Wei Hu, Xintao Hu, Jianping Hu, Chaoqun Hu, Hu Hu, Qinghua Hu, Jia Hu, Qinwen Hu, Zizhong Hu, Shangfeng Hu, Yuxin Hu, Liangyu Hu, Chunyu Hu, Guoxin Hu, Xiaoyu Hu, Jiayin Hu, Canrun Hu, Junkai Hu, Jun-Yi Hu, Panyang Hu, Guang Hu, Die Hu, Saiyang Hu, Yu-Feng Hu, Krista Y Hu, Xinyue Hu, Xuan Hu, Chenming Hu, J W Hu, Fenghua Hu, Zhao-Yang Hu, Shi-Jun Hu, Min-shan Hu, Xuesong Hu, Su Hu, Shenqiang Hu, Yiqing Hu, Dahai Hu, Bang Hu, Yiping Hu, Miao-Lin Hu, C Hu, Zhiyong Hu, Hanguang Hu, Jiabao Hu, Yuexin Hu, Ruiyao Hu, Deming Hu, Yu-Ting Hu, Panpan Hu, Jia-Wei Hu, Zhuang-Li Hu, Xiangrong Hu, Yutian Hu, Xinyuan Hu, Sen-Lin Hu, Xu Hu, Yihan Hu, Yiguo Hu, Baifei Hu, Fangbo Hu, Hanmeng Hu, Kevin Hu, Xujuan Hu, Yi-Ping Hu, Guohong Hu, F Hu, Suqing Hu, Lian Hu, Huimin Hu, Liyan Hu, Tianqi Hu, Allison C Hu, Zhang-Xue Hu, Xiaoxiao Hu, Lijuan Hu, Xinglv Hu, Yonggang Hu, Chao-Yu Hu, Yingchao Hu, Li Hu, Xiaoyue Hu, Mi Hu, Bo-Ang Hu, Haicheng Hu, Qiaomu Hu, Yue Hu, Chun-Ting Hu, Wan-Chung Hu, Juan Hu, Junjie Hu, Zan Hu, Yi-Xuan Hu, Zheng-Mao Hu, Alex Hu, Qiping Hu, Fang Hu, Jin-Xia Hu, Xiangyang Hu, Bolang Hu, Meilin Hu, Shun Hu, Yanjie Hu, X H Hu, Xia Hu, Huan Hu, Qihao Hu, Xue-Mei Hu, Hong Hu, Yuepeng Hu, Yanyu Hu, Aoni Hu, Yousheng Hu, Bangchuan Hu, Limei Hu, Lifang Hu, Shilei Hu, Kefan Hu, Zhongyao Hu, Bing Hu, Donglei Hu, Nengwei Hu, Chun-Yan Hu, Shu-Mei Hu, Yongwu Hu, Gang Hu, Jiangbo Hu, Weihua Hu, Yunzhang Hu, Ling Hu, Patrick Hu, Ruozhen Hu, Zhenying Hu, Guomin Hu, Ye Hu, Yi-Peng Hu, Bin Hu, Liu-Bing Hu, Lei Hu, Shuiqing Hu, Xiao-Hong Hu, Ya-Li Hu, Yukai Hu, Chengyi Hu, Xiao-Hua Hu, Jintao Hu, Xiaosong Hu, Liyuan Hu, Xiangjun Hu, Xianjing Hu, Sanyuan Hu, Manqiu Hu, Die-Fei Hu, Naifan Hu, Mingzhao Hu, Jianfei Hu, Zhibin Hu, Xiang Hu, Xinting Hu, Xiaodi Hu, Yan-wei Hu, Dorothy Hu, Zhiying Hu, Linda Hu, Guodong Hu, Yunhua Hu, Sunkuan Hu, Jianhong Hu, Zhengping Hu, Chunyan Hu, Danjie Hu, Wen-Ting Hu, Yejia Hu, Zhenhua Hu, Yingjie Hu, Ya-Yu Hu, Yanling Hu, Zhiquan Hu, Jingwen Hu, Yao Hu, Changyuan Hu, Yue-Xiao Hu, Yuan Hu, Xin-Sheng Hu, Zhijun Hu, Xin Hu, Beijuan Hu, Ruolan Hu, Jin Hu, Qin Hu, Bei Hu, Xiaodan Hu, Michele T M Hu, Xiao-Meng Hu, Xiaojuan Hu, Huiming Hu, Zhongke Hu, Shaohua Hu, Yingchun Hu, Shihe Hu, Hairong Hu, Jingchu Hu, Jianying Hu, Haijian Hu, Haijuan Hu, Na Hu, Yuehong Hu, Ming Hu, Haiyan Hu, Y Hu, Zuli Hu, Ya-Rong Hu, Jiapeng Hu, Jinxing Hu, Yiwen Hu, Jiewei Hu, Yuanyuan Hu, Cheng Hu, Manli Hu, Xueli Hu, Li-Yuan Hu, Chengxiang Hu, Jun-ping Hu, Tongyuan Hu, Ying-Jie Hu, Pengzhen Hu, Yueqiang Hu, Y H Hu, Houyuan Hu, Wenhao Hu, Fei Hu, Jinghua Hu, Jian Hu, Jinwu Hu, XueLie Hu, Weipeng Hu, Qiaoling Hu, Changhua Hu, Ying Hu, Zhizhou Hu, Mingxin Hu, William T Hu, Xiaohui Hu, Xiaohu Hu, Guo-Xin Hu, Yaodong Hu, Xiaomei Hu, Yejun Hu, Ke Hu, Xue-Qun Hu, Baoyang Hu, Haoxiang Hu, Haochong Hu, Desheng Hu, Dongyu Hu, Xiaotong Hu, Zhaoting Hu, Kexin Hu, Baihua Hu, Jessica Hu, Shanshan Hu, Chengcheng Hu, Yu-Qi Hu, Zixuan Hu, Qianying Hu, Qiulan Hu, Jianyong Hu, Boran Hu, Xun Hu, Chi-Tan Hu, Jinying Hu, Yijun Hu, Shengshou Hu, Meng Hu, Yongxian Hu, Han Hu, Xiqi Hu, Shourui Hu, Fudong Hu, Cong Hu, Xingwang Hu, Ai-Min Hu, Yongbin Hu, Guo Liang Hu, Wenjing Hu, Yulian Hu, Minghui Hu, Ping Hu, Daixing Hu, Yan Hu, Zhigang Hu, Jingqing Hu, Qian Hu, Meng-Meng Hu, Yong Hu, Miaoyang Hu, Rui Hu, Hua Hu, Z Hu, Wen-Cheng Hu, Aiyan Hu, D Y Hu, Cheng-Jun Hu, Junhao Hu, Jiayu Hu, Bing-Xuan Hu, Qun Hu, Anpei Hu, Senlin Hu, Keqing Hu, Xiujing Hu, Weiwen Hu, Fan Hu, Xiaorong Hu, Anqi Hu, Zhenbo Hu, Yongfei Hu, Xiaofei Hu, Keping Hu, Ziyang Hu, Junbo Hu, Xiu-Wei Hu, Y-K Hu, Xue-Jian Hu, Fangzhu Hu, Ning Hu, Xuefeng Hu, Ruoxi Hu, Xinyi Hu, Yongjun Hu, Chunfeng Hu, Haifeng Hu, Yanjun Hu, Jichao Hu, Zheng Hu, B Hu, Ran Hu, Zelin Hu, Jianran Hu, Jiahe Hu, Xiaoyan Hu, Yang Hu, Shimin Hu, Qiyuan Hu, Kuan Hu, Jingjie Hu, Ziliang Hu, Yaxin Hu, Zhijian Hu, Weiquan Hu, Xiaoli Hu, Guo-Han Hu, Yuanlong Hu, Changqing Hu, Yiying Hu, Tiffany Hu, Guangdong Hu, Jerry Hu, Yibo Hu, Xiao-Ping Hu, Yuhong Hu, Jinlin Hu, Kai-Lun Hu, Xianzhe Hu, Chang Hu, Jiemiao Hu, Donghua Hu, Zhuo-Wei Hu, Xian Gui Hu, Hongjia Hu, Changchen Hu, Zhi-Qiang Hu, Jiejun Hu, Lulu Hu, Lilin Hu, Hanze Hu, Boli Hu, Jianpeng Hu, Mengting Hu, Cegui Hu, Haigang Hu, Shixian Hu, Yue-Qin Hu, Jimeng Hu, Jinhua Hu, Xiang-Yang Hu, Yi Hu, Dandan Hu, Yun Hu, Lina Hu, Tianxiang Hu, Yue-Peng Hu, Zhangli Hu, Junting Hu, Jiaqiang Hu, Xiangyou Hu, Renjie Hu, Shudong Hu, Yaofei Hu, Yanhui Hu, Qile Hu, Shoudi Hu, Jiayao Hu, Qiongdan Hu, Hangqi Hu, Di Hu, Ningning Hu, Dan Hu, Xiaoshan Hu, Xiao-Lin Hu, Longbo Hu, Wanli Hu, Sean Hu, Tongtong Hu, Qisheng Hu, Yu Hu, Xiwen Hu, Zhiyuan Hu, Shiyi Hu, Zhenguo Hu, Pingzhao Hu, Haoyu Hu, Guo Hu, Li-Fang Hu, Xiao-Lei Hu, Song Hu, Chang-Hua Hu, Qubai Hu, Dong Hu, Sile Hu, Xiaoxiang Hu, Jiwei Hu, Jiaxin Hu, Shuyuan Hu, Jiang Hu, Jing Hu, Teng Hu, Tingting Hu, Feng Hu, Yefan Hu, Weiyu Hu, Wenji Hu, Wenxiang Hu, Qing Hu, Miao Hu, Wangxiong Hu, Biao Hu, Gangqing Hu, Dingtao Hu, Shiyu Hu, Shuqi Hu, Chaowei Hu, Yunlu Hu, Yuwen Hu, Piaopiao Hu, Pin Hu, Xiucai Hu, Weiming Hu, Yaozhong Hu, Yao-Min Hu, Gui-Rong Hu, Aoling Hu, Zhen Hu, Yiyang Hu, Zhaoyong Hu, Qiaoguan Hu, Wentao Hu, He-Ping Hu, Yinping Hu, Yulong Hu, Junchi Hu, Chunhua Hu, Yiming Hu, Xiaojun Hu, Hongbo Hu, Huiyu Hu, Yeguang Hu, Tianyi Hu, Zhi-De Hu, Bodan Hu, Youna Hu, Chengkai Hu, Yunying Hu, Jia-Qiang Hu, Bingfang Hu, An-Kang Hu, Xuan-Yu Hu, Sung-Lin Hu, Shen Hu, Tingyan Hu, Xiaomin Hu, L W Hu, Jiawen Hu, Yuanhui Hu
articles
An Hu, Yunfeng Zhang, Xipeng Zhao +2 more · 2019 · Die Pharmazie · added 2026-04-24
MicroRNAs (miRs) are crucial regulators for tumorigenesis through negatively regulating their target genes expression in the manner of 3'-untranslated region (3'-UTR) binding. MiR-205-5p has been repo Show more
MicroRNAs (miRs) are crucial regulators for tumorigenesis through negatively regulating their target genes expression in the manner of 3'-untranslated region (3'-UTR) binding. MiR-205-5p has been reported to function as a tumor suppressor in several cancer types. The aim of this study was to investigate the role of miR-205-5p/chromobox homolog 1 (CBX1) axis in human pituitary tumors. The expression of miR-205-5p was firstly examined by quantitative real-time PCR and the results revealed that miR-205-5p expression was declined in pituitary cell lines compared with normal cell line. Overexpression of miR-205-5p effectively decreased cell proliferation and cell migration. Based on the results of bioinformatic analysis, luciferase reporter assay, and western blot, we identified CBX1 as a direct target of miR-205-5p. Notably, overexpression of CBX1 promoted cell proliferation and migration. The effects of miR-205-5p overexpression on cell proliferation and migration can be reversed by CBX1 overexpression. Based on these findings, we deducted that miR-205-5p inhibits the cell proliferation and migration through directly targeting CBX1. Show less
no PDF DOI: 10.1691/ph.2019.8908
CBX1
Xiaopeng Mu, Xiaoyan Cui, Ranran Liu +7 more · 2019 · Genes · MDPI · added 2026-04-24
Ovariectomy results in improved meat quality (growth rate, tenderness, and flavor) of broilers. However, some negative effects increased (abdominal fat (AF) deposition, low feed conversion, etc.) have Show more
Ovariectomy results in improved meat quality (growth rate, tenderness, and flavor) of broilers. However, some negative effects increased (abdominal fat (AF) deposition, low feed conversion, etc.) have also been reported. In this study, the gene expression profiles of AF tissue in ovariectomized and sham-operated chickens were determined to identify differentially expressed genes (DEGs) and pathways to explore the molecular mechanisms underlying AF accumulation. Comparing the ovariectomized group and the sham-operated group, the abdominal fat weight (AFW) and abdominal fat percentage (AFP) were increased significantly ( Show less
📄 PDF DOI: 10.3390/genes10020155
CETP
Xu Liu, Mei Mei, Xiang Chen +8 more · 2019 · Respiratory research · BioMed Central · added 2026-04-24
Persistent pulmonary hypertension of the newborn (PPHN) is a severe clinical problem among neonatal intensive care unit (NICU) patients. The genetic pathogenesis of PPHN is unclear. Only a few genetic Show more
Persistent pulmonary hypertension of the newborn (PPHN) is a severe clinical problem among neonatal intensive care unit (NICU) patients. The genetic pathogenesis of PPHN is unclear. Only a few genetic polymorphisms have been identified in infants with PPHN. Our study aimed to investigate the potential genetic etiology of PPHN. This study recruited PPHN patients admitted to the NICU of the Children's Hospital of Fudan University from Jan 2016 to Dec 2017. Exome sequencing was performed for all patients. Variants in reported PPHN/pulmonary arterial hypertension (PAH)-related genes were assessed. Single nucleotide polymorphism (SNP) association and gene-level analyses were carried out in 74 PPHN cases and 115 non-PPHN controls with matched baseline characteristics. Among the patient cohort, 74 (64.3%) patients were late preterm and term infants (≥ 34 weeks gestation) and 41 (35.7%) were preterm infants (< 34 weeks gestation). Preterm infants with PPHN exhibited low birth weight and a high frequency of bronchopulmonary dysplasia, respiratory distress syndrome (RDS) and mortality. Nine patients (only one preterm infant) were identified as harboring genetic variants, including three with pathogenic/likely pathogenic variants in TBX4 and BMPR2 and six with variants of unknown significance in BMPR2, SMAD9, TGFB1, KCNA5 and TRPC6. Three SNPs (rs192759073, rs1047883 and rs2229589) in CPS1 and one SNP (rs1044008) in NOTCH3 were significantly associated with PPHN (p < 0.05). CPS1 and SMAD9 were identified as risk genes for PPHN (p < 0.05). In this study, we identified genetic variants in PPHN patients, and we reported CPS1, NOTCH3 and SMAD9 as risk genes for late preterm and term PPHN in a single-center Chinese cohort. Our findings provide additional genetic evidence of the pathogenesis of PPHN and new insight into potential strategies for disease treatment. Show less
📄 PDF DOI: 10.1186/s12931-019-1148-1
CPS1
Jiyeon Kim, Zeping Hu, Ling Cai +23 more · 2019 · Nature · Nature · added 2026-04-24
Further analysis has revealed that the signal reported in Extended Data Fig. 1c of this Letter is attributed to phosphorylethanolamine, not carbamoyl phosphate. A newly developed derivatization method Show more
Further analysis has revealed that the signal reported in Extended Data Fig. 1c of this Letter is attributed to phosphorylethanolamine, not carbamoyl phosphate. A newly developed derivatization method revealed that the level of carbamoyl phosphate in these NSCLC extracts is below the detection threshold of approximately 10 nanomoles. These findings do not alter the overall conclusions of the Letter; see associated Amendment for full details. The Letter has not been corrected online. Show less
no PDF DOI: 10.1038/s41586-019-1133-3
CPS1
Hong-Li Guo, Xia Jing, Jie-Yu Sun +7 more · 2019 · Current pharmaceutical design · Bentham Science · added 2026-04-24
Valproic acid (VPA) as a widely used primary medication in the treatment of epilepsy is associated with reversible or irreversible hepatotoxicity. Long-term VPA therapy is also related to increased ri Show more
Valproic acid (VPA) as a widely used primary medication in the treatment of epilepsy is associated with reversible or irreversible hepatotoxicity. Long-term VPA therapy is also related to increased risk for the development of non-alcoholic fatty liver disease (NAFLD). In this review, metabolic elimination pathways of VPA in the liver and underlying mechanisms of VPA-induced hepatotoxicity are discussed. We searched in PubMed for manuscripts published in English, combining terms such as "Valproic acid", "hepatotoxicity", "liver injury", and "mechanisms". The data of screened papers were analyzed and summarized. The formation of VPA reactive metabolites, inhibition of fatty acid β-oxidation, excessive oxidative stress and genetic variants of some enzymes, such as CPS1, POLG, GSTs, SOD2, UGTs and CYPs genes, have been reported to be associated with VPA hepatotoxicity. Furthermore, carnitine supplementation and antioxidants administration proved to be positive treatment strategies for VPA-induced hepatotoxicity. Therapeutic drug monitoring (TDM) and routine liver biochemistry monitoring during VPA-therapy, as well as genotype screening for certain patients before VPA administration, could improve the safety profile of this antiepileptic drug. Show less
no PDF DOI: 10.2174/1381612825666190329145428
CPS1
Bo Zhang, Qiong Wu, Ran Xu +10 more · 2019 · Journal of cellular biochemistry · Wiley · added 2026-04-24
Overall survival of patients with low-grade glioma (LGG) has shown no significant improvement over the past 30 years, with survival averaging approximately 7 years. This study aimed to identify novel Show more
Overall survival of patients with low-grade glioma (LGG) has shown no significant improvement over the past 30 years, with survival averaging approximately 7 years. This study aimed to identify novel promising biomarkers of LGG and reveal its potential molecular mechanisms by integrated bioinformatics analysis. The microarray datasets of GSE68848 and GSE4290 were selected from GEO database for integrated analysis. In total, 293 overlapping differentially expressed genes (DEGs) were detected using the limma package. One hundred and eighty-eight nodes with 603 interactions were obtained from the establishment of protein-protein interaction (PPI) network. Functional and signaling pathway enriched were significantly correlated with the synapse and calcium signaling pathway, respectively. Module analysis revealed eight hub genes with high connectivity, which included CHRM1, DLG2, GABRD, GRIN1, HTR2A, KCNJ3, KCNJ9, and NUSAP1, and they were markedly correlated with patients' prognosis. The mining of the Gene Expression Profiling Interactive Analysis database and qPCR further confirmed the abnormal expression of these key genes with their prognostic value in LGG. We eventually predicted the 20 most vital small molecule drugs, which potentially reverse the carcinogenic state of LGG, as per the CMap (connectivity map) database and these DEGs, and MS-275 (enrichment score = -0.939) was considered as the most promising small molecule to treat LGG. In conclusion, our study provided eight reliable novel molecular biomarkers for diagnosis, prognosis prediction, and treatment targets for LGG. These conclusions will contribute to a better comprehension of molecular mechanisms fundamental to LGG occurrence and progression, and providing new insights for future development of genomic individualized treatment in LGG. Show less
no PDF DOI: 10.1002/jcb.28773
DLG2
Zhaofeng Wang, Xiaobo Xu, Wenxiao Tang +3 more · 2019 · BioMed research international · added 2026-04-24
Tripartite Motif Containing 11 (TRIM11), an E3 ubiquitin ligase, is identified as a carcinogen causing certain human cancers. However, the specific role of TRIM11 is still uncovered in human osteosarc Show more
Tripartite Motif Containing 11 (TRIM11), an E3 ubiquitin ligase, is identified as a carcinogen causing certain human cancers. However, the specific role of TRIM11 is still uncovered in human osteosarcoma (OS) cells. To explore the role of TRIM11 in OS cells, TRIM11 was induced by silencing and overexpression in OS cells using RNA interference (RNAi) and lentiviral vector, respectively. qRT-PCR and western blot were used to examine the transcription and translation levels of the target gene. Cell count kit-8 (CCK-8) assays were established to analyze cell proliferation. Cell apoptosis ratio was determined via flow cytometry. In our analyses, TRIM11 was suggested to be upregulated, and it functioned as a pro-proliferation and antiapoptosis factor in OS cells. Moreover, the extracellular-signal-regulated kinase 1/2 (ERK1/2) inhibitor PD98059 was used to examine the relationship between TRIM11 and ERK1/2 in OS cells. Results demonstrated that the role of TRIM11 was significantly disrupted by the ERK1/2 inhibitor PD98059. Interestingly, we found TRIM11 overexpression did not affect dual-specificity phosphatase 6 (DUSP6) transcription, but improved its translation in OS cells. Co-immunoprecipitation (Co-IP) analyses revealed that TRIM11 interacted with DUSP6. Importantly, overexpression of TRIM11 enhanced DUSP6 ubiquitination in OS cells. Therefore, TRIM11 might suppress the translation of DUSP6 via improving its ubiquitination. Additionally, TRIM11 silencing in OS cells significantly reduced its tumorigenicity Show less
📄 PDF DOI: 10.1155/2019/9612125
DUSP6
Xia Hu, Zhenghao Tang, Siyuan Ma +3 more · 2019 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Tripartite motif-containing protein 7 (TRIM7), which is involved in the biosynthesis of glycogen, has been reported to drive lung tumorigenesis. In the present study, we aimed to examine the expressio Show more
Tripartite motif-containing protein 7 (TRIM7), which is involved in the biosynthesis of glycogen, has been reported to drive lung tumorigenesis. In the present study, we aimed to examine the expression, roles and underlying molecular mechanisms of TRIM7 in hepatocellular carcinoma (HCC) development. Real-time PCR and immunohistochemical staining were performed to test the expression of TRIM7 in HCC tissues. Cell proliferation, cell cycle and tumorigenicity experiments were conducted to determine the function of TRIM7. The results showed that TRIM7 expression was elevated in human HCC tissues and that TRIM7 expression was significantly associated with tumor size, pTNM stage, serum α-fetoprotein (AFP) concentration, serum hepatitis B virus (HBV) DNA copy number and overall survival (OS) of HCC patients. TRIM7 knockdown inhibited the proliferation of HCC cells in vitro and in vivo. TRIM7 knockdown also induced a G1/S checkpoint in HCC cell lines. Additionally, TRIM7 knockdown led to decreased phosphorylated p38 (p-p38) and increased expression of p53 and p21. Ectopic expression of TRIM7 promoted HCC cell proliferation, cell cycle progression and p38 activation, but not in the presence of the p38 inhibitor SB203580. Moreover, TRIM7 overexpression enhanced the polyubiquitination and degradation of dual specificity phosphatase 6 (DUSP6). DUSP6 overexpression abolished the promotional effect of TRIM7 overexpression on HCC cell proliferation and the activation of p38. Furthermore, HBV X protein (HBx), a protein coded by HBV, was demonstrated to upregulate TRIM7 expression. Collectively, TRIM7 overexpression may contribute to the highly proliferative characteristics of HCC cells, and targeting TRIM7 might be a potential strategy for HCC treatment. Show less
no PDF DOI: 10.1016/j.bbrc.2019.02.001
DUSP6
Ying Bai, Ning Liu, Shuang Hu +2 more · 2019 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
To detect EXT1 and EXT2 gene mutations in two pedigrees affected with hereditary multiple exostosis (HME). The coding regions and exon/intron boundaries of the EXT1 and EXT2 genes were analyzed by tar Show more
To detect EXT1 and EXT2 gene mutations in two pedigrees affected with hereditary multiple exostosis (HME). The coding regions and exon/intron boundaries of the EXT1 and EXT2 genes were analyzed by targeted next-generation sequencing (NGS). Suspected mutations were confirmed by Sanger sequencing of the probands, their family members and 200 unrelated healthy controls. Gross deletion was confirmed by quantitative PCR (qPCR) analysis and multiple ligation-dependent probe amplification (MLPA) analysis. Two mutations were detected in the pedigrees, which included EXT2 gene c.337₃₃₈insG mutation in pedigree 1 and deletion of entire EXT1 in pedigree 2. Analysis of sequencing data revealed that a novel heterozygous mutation (c.337₃₃₈insG) in EXT2 gene in proband 1 and his father. The same mutation was not found among healthy family members and 200 unrelated healthy controls. As shown by NGS and MLPA analysis, proband 2 carried a heterozygous deletion of entire EXT1 gene. The same deletion was also found in her mother by qPCR. Mutations of the EXT1 and EXT2 genes probably underlie the HME in both pedigrees. NGS combined with Sanger sequencing, qPCR and MLPA is effective for attaining the diagnosis. Show less
no PDF DOI: 10.3760/cma.j.issn.1003-9406.2019.05.009
EXT1
Danhui Hu, Huichen Luo · 2019 · Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology · added 2026-04-24
Objective To investigate the effect of miR-25-3p targeting a disintegrin and metalloproteinase 10 (ADAM10) on the differentiation of P19 cells into cardiomyocytes by regulating Notch signaling pathway Show more
Objective To investigate the effect of miR-25-3p targeting a disintegrin and metalloproteinase 10 (ADAM10) on the differentiation of P19 cells into cardiomyocytes by regulating Notch signaling pathway. Methods P19 cells were induced to differentiate into cardiomyocytes with dimethyl sulfoxide (DMSO) and collected at 0, 5, and 10 days. The mRNA levels of myocardial differentiation markers GATA4, cTnT, atrial natriuretic polypeptide (ANP) and the level of miR-25-3p were detected by real-time quantitative PCR (qRT-PCR). The protein level of ADAM10 was assessed by Western blot analysis. The miR-25-3p was over-expressed in P19 cells by infected with retrovirus, and the expression levels of miR-25-3p and ADAM10 in the infected P19 cells were detected by qRT-PCR and Western blotting. Bioinformatics were used to predict the targeted matching relationship between miR-25-3p and ADAM10 gene, which was then verified by the luciferase reporter gene system. After infection, P19 cells were induced to differentiate by DMSO for 10 days. Then the protein expression of cTnI was detected by immunofluorescence assay to calculate the differentiation rate of cardiomyocytes, and the proteins expression of myocardial differentiation markers GATA4, cTnT, ANP and Notch signaling pathway-related molecules Notch1, hes family bHLH transcription factor 1 (Hes1), Hey1, and Hey2 were detected by Western blotting. Results During the 0, 5 and 10 days of the differentiation of P19 cells into myocardial cells, the mRNA expression levels of GATA4, cTnT, ANP and the protein expression level of ADAM10 gradually increased, while the expression level of miR-25-3p gradually decreased. After retrovirus infection, the expression level of miR-25-3p in the infected P19 cells went up significantly, while the protein expression level of ADAM10 went down significantly. Subsequently, ADAM10 was confirmed as a target gene of miR-25-3p. After the 10 days of differentiation, over-expression of miR-25-3p significantly decreased the differentiation rate of cardiomyocytes, and down-regulated the levels of the markers of myocardial differentiation-related proteins GATA4, cTnT, ANP, and the Notch signaling pathway related-proteins, including Notch1, Hes1, Hey1 and Hey2. Conclusion The miR-25-3p can significantly inhibit the differentiation of P19 cells into cardiomyocytes, and the mechanism may be related to inhibite the activation of Notch signaling pathway by depressing ADAM10 expression. Show less
no PDF
HEY2
Joel Gelernter, Ning Sun, Renato Polimanti +25 more · 2019 · Nature neuroscience · Nature · added 2026-04-24
Post-traumatic stress disorder (PTSD) is a major problem among military veterans and civilians alike, yet its pathophysiology remains poorly understood. We performed a genome-wide association study an Show more
Post-traumatic stress disorder (PTSD) is a major problem among military veterans and civilians alike, yet its pathophysiology remains poorly understood. We performed a genome-wide association study and bioinformatic analyses, which included 146,660 European Americans and 19,983 African Americans in the US Million Veteran Program, to identify genetic risk factors relevant to intrusive reexperiencing of trauma, which is the most characteristic symptom cluster of PTSD. In European Americans, eight distinct significant regions were identified. Three regions had values of P < 5 × 10 Show less
no PDF DOI: 10.1038/s41593-019-0447-7
KANSL1
Yakui Li, Dianqiang Yang, Na Tian +12 more · 2019 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
The glucose-responsive transcription factor carbohydrate response element-binding protein (ChREBP) critically promotes aerobic glycolysis and cell proliferation in colorectal cancer cells. It has been Show more
The glucose-responsive transcription factor carbohydrate response element-binding protein (ChREBP) critically promotes aerobic glycolysis and cell proliferation in colorectal cancer cells. It has been reported that ubiquitination may be important in the regulation of ChREBP protein levels and activities. However, the ChREBP-specific E3 ligase and molecular mechanism of ChREBP ubiquitination remains unclear. Using database exploration and expression analysis, we found here that levels of the E3 ligase SMURF2 (Smad-ubiquitination regulatory factor 2) negatively correlate with those of ChREBP in cancer tissues and cell lines. We observed that SMURF2 interacts with ChREBP and promotes ChREBP ubiquitination and degradation via the proteasome pathway. Interestingly, ectopic SMURF2 expression not only decreased ChREBP levels but also reduced aerobic glycolysis, increased oxygen consumption, and decreased cell proliferation in colorectal cancer cells. Moreover, SMURF2 knockdown increased aerobic glycolysis, decreased oxygen consumption, and enhanced cell proliferation in these cells, mostly because of increased ChREBP accumulation. Furthermore, we identified Ser/Thr kinase AKT as an upstream suppressor of SMURF2 that protects ChREBP from ubiquitin-mediated degradation. Taken together, our results indicate that SMURF2 reduces aerobic glycolysis and cell proliferation by promoting ChREBP ubiquitination and degradation via the proteasome pathway in colorectal cancer cells. We conclude that the SMURF2-ChREBP interaction might represent a potential target for managing colorectal cancer. Show less
no PDF DOI: 10.1074/jbc.RA119.007508
MLXIPL
Peng Jiang, Yaofei Hu, Yiqi Wang +6 more · 2019 · Frontiers in genetics · Frontiers · added 2026-04-24
Ventricular septal defect (VSD) is a fatal congenital heart disease showing severe consequence in affected infants. Early diagnosis plays an important role, particularly through genetic variants. Exis Show more
Ventricular septal defect (VSD) is a fatal congenital heart disease showing severe consequence in affected infants. Early diagnosis plays an important role, particularly through genetic variants. Existing panel-based approaches of variants mining suffer from shortage of large panels, costly sequencing, and missing rare variants. Although a trio-based method alleviates these limitations to some extent, it is agnostic to novel mutations and computational intensive. Considering these limitations, we are studying a novel variants mining algorithm from trio-based sequencing data and apply it on a VSD trio to identify associated mutations. Our approach starts with irrelevant Show less
no PDF DOI: 10.3389/fgene.2019.00670
MYBPC3
Zengrong Zhang, Huarui Du, Chaowu Yang +12 more · 2019 · Animal biotechnology · Taylor & Francis · added 2026-04-24
no PDF DOI: 10.1080/10495398.2018.1476377
MYBPC3
Qi Yang, Rui Wang, Bo Wei +5 more · 2019 · DNA and cell biology · added 2026-04-24
This study was aimed to identify hub genes associated with the development of glioblastoma (GBM) by conducting a bioinformatic analysis. The raw gene expression data were downloaded from the Gene Expr Show more
This study was aimed to identify hub genes associated with the development of glioblastoma (GBM) by conducting a bioinformatic analysis. The raw gene expression data were downloaded from the Gene Expression Omnibus database and The Cancer Genome Atlas project. After the differentially expressed genes (DEGs) were identified, the functional enrichment analysis of DEGs was conducted. Subsequently, the protein-protein interaction (PPI) network, molecular complex detection clusters, and transcriptional factor (TF)-miRNA-target regulatory network were constructed, respectively. Furthermore, the survival analysis of prognostic outcomes and genes was analyzed. In addition, the expression of key genes was validated by quantitative real-time PCR (qRT-PCR) analysis. A total of 884 DEGs, including 418 upregulated and downregulated genes, were identified between GBM and normal samples. The PPI network comprised a set of 3418 pairs involving 751 nodes, and Show less
no PDF DOI: 10.1089/dna.2018.4353
NRXN3
Hang-Yu Zhou, Qiang Li, Jian-Xiong Wang +8 more · 2019 · Archives of oral biology · Elsevier · added 2026-04-24
Beneficial effects of low-intensity pulsed ultrasound(US) have been reported for knee articular cartilage injury. It is unclear whether the same effect could be observed on mandibular condylar cartila Show more
Beneficial effects of low-intensity pulsed ultrasound(US) have been reported for knee articular cartilage injury. It is unclear whether the same effect could be observed on mandibular condylar cartilage. This study was designed to explore the efficacy of ultrasound cartilage repair via autophagy regulation. A total of 18 adult rabbits were divided into a sham operation group (exposure to condylar articular surface only), operation without US group (only cartilage surgery), and operation with US group (received ultrasonic therapy daily on day 4 after cartilage surgery). The rabbits were then sacrificed to construct a temporomandibular joint (TMJ) cartilage injury model and HE staining was conducted to observe pathological changes of cartilage in each group. Expression of FGF18, FGFR4, beclin1, ATG3 and ATG7 in rabbit TMJ cartilage were detected using RT-PCR and western blotting. Finally, protein-protein interaction (PPI) analysis was used to observe the interaction among the network of important biomarkers in this injury model. Compared to the operation without US group, the severity of cartilage injury was decreased in the operation with US group according to HE staining. The expression of autophagy biomarkers, beclin1, ATG3, ATG7, FGF18 and FGFR4, in operation with US group were up-regulated compared with those in sham operation group and operation without US group p < 0.05). In PPI analysis, ATG3, ATG7, PIK3C3, PIK3R4, BECN1 were identified as hub nodes connecting with most proteins network. Our results suggest US has therapeutic potential for the treatment of mandibular condylar cartilage injury, and may affect chondrocyte autophagy. Show less
no PDF DOI: 10.1016/j.archoralbio.2019.05.018
PIK3C3
Sheng Dai, Shu Yang, Xin Hu +8 more · 2019 · Molecular cancer therapeutics · added 2026-04-24
Targeting of extrinsic apoptosis pathway by TNF-related apoptosis-inducing ligand (TRAIL) is an attractive approach for cancer therapy. However, two TRAIL drug candidates failed in clinical trials due Show more
Targeting of extrinsic apoptosis pathway by TNF-related apoptosis-inducing ligand (TRAIL) is an attractive approach for cancer therapy. However, two TRAIL drug candidates failed in clinical trials due to lack of efficacy. We identified 17-hydroxy wortmannin (17-HW) in a drug repurposing screen that resensitized TRAIL's response in the resistant colon cancer cells. The deficiency of caspase-8 in drug-resistant cells along with defects in apoptotic cell death was corrected by 17-HW, an inhibitor of PIK3C3-beclin 1 (BECN1) complex and autophagy activity. Further study found that BECN1 significantly increased in the TRAIL-resistant cells, resulting in increased autophagosome formation and enhanced autophagy flux. The extracellular domain (ECD) of BECN1 directly bound to the caspase-8 catalytic subunit (p10), leading to sequestration of caspase-8 in the autophagosome and its subsequent degradation. Inhibition of BECN1 restored the caspase-8 level and TRAIL's apoptotic response in the resistant colon cancer cells. An analysis of 120 colon cancer patient tissues revealed a correlation of a subgroup of patients (30.8%, 37/120) who have high BECN1 level and low caspase-8 level with a poor survival rate. Our study demonstrates that the increased BECN1 accompanied by enhanced autophagy activity is responsible for the TRAIL resistance, and a combination of TRAIL with a PIK3C3-BECN1 inhibitor is a promising therapeutic approach for the treatment of colon cancer. Show less
no PDF DOI: 10.1158/1535-7163.MCT-18-1241
PIK3C3
Yufeng Yao, Hui Li, Xinwen Da +7 more · 2019 · Pulmonary pharmacology & therapeutics · Elsevier · added 2026-04-24
Pulmonary arterial hypertension (PAH) is a life-threatening disease without effective therapies. PAH is associated with a progressive increase in pulmonary vascular resistance and irreversible pulmona Show more
Pulmonary arterial hypertension (PAH) is a life-threatening disease without effective therapies. PAH is associated with a progressive increase in pulmonary vascular resistance and irreversible pulmonary vascular remodeling. SUMO1 (small ubiquitin-related modifier 1) can bind to target proteins and lead to protein SUMOylation, an important post-translational modification with a key role in many diseases. However, the contribution of SUMO1 to PAH remains to be fully characterized. In this study, we explored the role of SUMO1 in the dedifferentiation of vascular smooth muscle cells (VSMCs) involved in hypoxia-induced pulmonary vascular remodeling and PAH in vivo and in vitro. In a mouse model of hypoxic PAH, SUMO1 expression was significantly increased, which was associated with activation of autophagy (increased LC3b and decreased p62), dedifferentiation of pulmonary arterial VSMCs (reduced α-SMA, SM22 and SM-MHC), and pulmonary vascular remodeling. Similar results were obtained in a MCT-induced PAH model. Overexpression of SUMO1 significantly increased VSMCs proliferation, migration, hypoxia-induced VSMCs dedifferentiation, and autophagy, but these effects were abolished by inhibition of autophagy by 3-MA in aortic VSMCs. Furthermore, SUMO1 knockdown reversed hypoxia-induced proliferation and migration of PASMCs. Mechanistically, SUMO1 promotes Vps34 SUMOylation and the assembly of the Beclin-1-Vps34-Atg14 complex, thereby inducing autophagy, whereas Vps34 mutation K840R reduces Vps34 SUMOylation and inhibits VSMCs dedifferentiation. Our data uncovers an important role of SUMO1 in VSMCs proliferation, migration, autophagy, and phenotypic switching (dedifferentiation) involved in pulmonary vascular remodeling and PAH. Targeting of the SUMO1-Vps34-autophagy signaling axis may be exploited to develop therapeutic strategies to treat PAH. Show less
no PDF DOI: 10.1016/j.pupt.2019.01.007
PIK3C3
Baojun Duan, Xiaoyan Hu, Meiyang Fan +9 more · 2019 · Proteomics. Clinical applications · Wiley · added 2026-04-24
Early diagnosis is crucial to improve outcomes for pancreatic cancer patients (PC). The present study is designed to identify differently expressed peptides involved in PC as potential biomarkers. The Show more
Early diagnosis is crucial to improve outcomes for pancreatic cancer patients (PC). The present study is designed to identify differently expressed peptides involved in PC as potential biomarkers. The serum proteome of 22 PC patients, 12 pancreatitis patients (PP), and 45 healthy controls (HC) are analyzed using magnetic bead-based weak cation exchange (MB-WCX) and matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Next, a supervised neural network (SNN) algorithm model is established by ClinProTools and the candidate biomarker identified using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Finally, the candidate biomarker is validated in tissue samples. The SNN algorithm model discriminates PC from HC with 92.97% sensitivity and 94.55% specificity. Seventy-six differentially expressed peptides are identified, seven of which are significantly different among PC, PP, and HC (p < 0.05). Only one peak (m/z: 1466.99) tends to be upregulated in samples from HC, PP, and PC, which is identified as region of RNA-binding motif protein 6 (RBM6). In subsequent tissue analysis, it is verified that RBM6 expression is significantly higher in PC tissues than paracancerous tissue. The results indicate that RBM6 might serve as a candidate diagnostic biomarker for PC. Methods used in this study could generate serum peptidome profiles of PC, PP, and HC, and present an approach to identify potential biomarkers for diagnosis of this malignancy. Show less
no PDF DOI: 10.1002/prca.201900048
RBM6
Pin Hu, Guiju Zhou, Xiaohui Zhang +3 more · 2019 · Life sciences · Elsevier · added 2026-04-24
The aim of this study was to uncover the underlying mechanisms of cervical cancer progression and provide potential therapeutic targets for its treatment in clinic. Real-Time qPCR was used to determin Show more
The aim of this study was to uncover the underlying mechanisms of cervical cancer progression and provide potential therapeutic targets for its treatment in clinic. Real-Time qPCR was used to determine the expression levels of Linc00483, miR-508-3p and RGS17 mRNA in cervical cancer tissues and cell lines. Terminal deoxynucleotidyl transferase (TdT)-mediated dUTP nick-end labeling (TUNEL) assay was conducted to determine cell apoptosis. Western Blot was performed to detect protein expression levels. Wound healing and Transwell assay were employed to determine cell migration and invasion respectively. Online software (TargetScan, miRDB and miR TarBase) were used to predict the regulating mechanisms of Linc00483, miR-508-3p and RGS17, which were validated by dual-luciferase reporter gene system. In vivo tumor-bearing mice models were established to validate the cellular results. Linc00483 aberrantly overexpressed in both cervical cancer tissues and cell lines comparing to the Control groups. Knock-down of Linc00483 inhibited cervical cancer cell proliferation, invasion as well as migration, and promoted cell apoptosis. In addition, miR-508-3p was identified as the downstream target of Linc00483, and miR-508-3p inhibitor abrogated the inhibiting effects of downregulated Linc00483 on cervical cancer cell viability. Furthermore, the expression levels of Linc00483 was positively correlated with RGS17 in the clinical samples and overexpressed Linc00483 increased RGS17 expression levels in cervical cancer cells by sponging miR-508-3p. The in vivo experiments showed that knock-down of Linc00483 inhibited cervical cancer cell tumorigenesis and lung metastasis in mice models. Knock-down of Linc00483 inhibited the development of cervical cancer by regulating miR-508-3p/RGS17 axis. Show less
no PDF DOI: 10.1016/j.lfs.2019.116789
RGS17
Zhenna Xiao, Liang Chang, Jongchan Kim +10 more · 2019 · American journal of cancer research · added 2026-04-24
SNAI1, an epithelial-mesenchymal transition (EMT)-inducing transcription factor, promotes tumor metastasis and resistance to apoptosis and chemotherapy. SNAI1 protein levels are tightly regulated by p Show more
SNAI1, an epithelial-mesenchymal transition (EMT)-inducing transcription factor, promotes tumor metastasis and resistance to apoptosis and chemotherapy. SNAI1 protein levels are tightly regulated by proteolytic ubiquitination. Here, we identified USP37 as a SNAI1 deubiquitinase that removes the polyubiquitination chain from SNAI1 and prevents its proteasomal degradation. USP37 directly binds, deubiquitinates, and stabilizes SNAI1. Overexpression of wild-type USP37, but not its catalytically inactive mutant C350S, promotes cancer cell migration. Importantly, depletion of USP37 downregulates endogenous SNAI1 protein and suppresses cell migration, which can be reversed by re-expression of SNAI1. Taken together, our findings suggest that USP37 is a SNAI1 deubiquitinase and a potential therapeutic target to inhibit tumor metastasis. Show less
no PDF
SNAI1
Baojin Yao, Mei Zhang, Meixin Liu +5 more · 2019 · Journal of biosciences · added 2026-04-24
Antler growth is a unique event compared to other growth and development processes in mammals. Antlers grow extremely fast during the rapid growth stage when growth rate peaks at 2 cm per day. Antler Show more
Antler growth is a unique event compared to other growth and development processes in mammals. Antlers grow extremely fast during the rapid growth stage when growth rate peaks at 2 cm per day. Antler growth is driven by a specific endochondral ossification process in the growth center that is in the distal region of the antler tip. In this study, we used state-of-art RNA-seq technology to analyze the expression profiles of mRNAs and miRNAs during antler growth. Our results indicated that the expression levels of multiple genes involved in chondrogenesis and endochondral ossification, including Show less
no PDF
WWP2
Valérie Turcot, Yingchang Lu, Heather M Highland +408 more · 2018 · Nature genetics · Nature · added 2026-04-24
Valérie Turcot, Yingchang Lu, Heather M Highland, Claudia Schurmann, Anne E Justice, Rebecca S Fine, Jonathan P Bradfield, Tõnu Esko, Ayush Giri, Mariaelisa Graff, Xiuqing Guo, Audrey E Hendricks, Tugce Karaderi, Adelheid Lempradl, Adam E Locke, Anubha Mahajan, Eirini Marouli, Suthesh Sivapalaratnam, Kristin L Young, Tamuno Alfred, Mary F Feitosa, Nicholas G D Masca, Alisa K Manning, Carolina Medina-Gomez, Poorva Mudgal, Maggie C Y Ng, Alex P Reiner, Sailaja Vedantam, Sara M Willems, Thomas W Winkler, Gonçalo Abecasis, Katja K Aben, Dewan S Alam, Sameer E Alharthi, Matthew Allison, Philippe Amouyel, Folkert W Asselbergs, Paul L Auer, Beverley Balkau, Lia E Bang, Inês Barroso, Lisa Bastarache, Marianne Benn, Sven Bergmann, Lawrence F Bielak, Matthias Blüher, Michael Boehnke, Heiner Boeing, Eric Boerwinkle, Carsten A Böger, Jette Bork-Jensen, Michiel L Bots, Erwin P Bottinger, Donald W Bowden, Ivan Brandslund, Gerome Breen, Murray H Brilliant, Linda Broer, Marco Brumat, Amber A Burt, Adam S Butterworth, Peter T Campbell, Stefania Cappellani, David J Carey, Eulalia Catamo, Mark J Caulfield, John C Chambers, Daniel I Chasman, Yii-Der I Chen, Rajiv Chowdhury, Cramer Christensen, Audrey Y Chu, Massimiliano Cocca, Francis S Collins, James P Cook, Janie Corley, Jordi Corominas Galbany, Amanda J Cox, David S Crosslin, Gabriel Cuellar-Partida, Angela D'Eustacchio, John Danesh, Gail Davies, Paul I W Bakker, Mark C H Groot, Renée Mutsert, Ian J Deary, George Dedoussis, Ellen W Demerath, Martin Heijer, Anneke I Hollander, Hester M Ruijter, Joe G Dennis, Josh C Denny, Emanuele Di Angelantonio, Fotios Drenos, Mengmeng Du, Marie-Pierre Dubé, Alison M Dunning, Douglas F Easton, Todd L Edwards, David Ellinghaus, Patrick T Ellinor, Paul Elliott, Evangelos Evangelou, Aliki-Eleni Farmaki, I Sadaf Farooqi, Jessica D Faul, Sascha Fauser, Shuang Feng, Ele Ferrannini, Jean Ferrieres, Jose C Florez, Ian Ford, Myriam Fornage, Oscar H Franco, Andre Franke, Paul W Franks, Nele Friedrich, Ruth Frikke-Schmidt, Tessel E Galesloot, Wei Gan, Ilaria Gandin, Paolo Gasparini, Jane Gibson, Vilmantas Giedraitis, Anette P Gjesing, Penny Gordon-Larsen, Mathias Gorski, Hans-Jörgen Grabe, Struan F A Grant, Niels Grarup, Helen L Griffiths, Megan L Grove, Vilmundur Gudnason, Stefan Gustafsson, Jeff Haessler, Hakon Hakonarson, Anke R Hammerschlag, Torben Hansen, Kathleen Mullan Harris, Tamara B Harris, Andrew T Hattersley, Christian T Have, Caroline Hayward, Liang He, Nancy L Heard-Costa, Andrew C Heath, Iris M Heid, Øyvind Helgeland, Jussi Hernesniemi, Alex W Hewitt, Oddgeir L Holmen, G Kees Hovingh, Joanna M M Howson, Yao Hu, Paul L Huang, Jennifer E Huffman, M Arfan Ikram, Erik Ingelsson, Anne U Jackson, Jan-Håkan Jansson, Gail P Jarvik, Gorm B Jensen, Yucheng Jia, Stefan Johansson, Marit E Jørgensen, Torben Jørgensen, J Wouter Jukema, Bratati Kahali, René S Kahn, Mika Kähönen, Pia R Kamstrup, Stavroula Kanoni, Jaakko Kaprio, Maria Karaleftheri, Sharon L R Kardia, Fredrik Karpe, Sekar Kathiresan, Frank Kee, Lambertus A Kiemeney, Eric Kim, Hidetoshi Kitajima, Pirjo Komulainen, Jaspal S Kooner, Charles Kooperberg, Tellervo Korhonen, Peter Kovacs, Helena Kuivaniemi, Zoltán Kutalik, Kari Kuulasmaa, Johanna Kuusisto, Markku Laakso, Timo A Lakka, David Lamparter, Ethan M Lange, Leslie A Lange, Claudia Langenberg, Eric B Larson, Nanette R Lee, Terho Lehtimäki, Cora E Lewis, Huaixing Li, Jin Li, Ruifang Li-Gao, Honghuang Lin, Keng-Hung Lin, Li-An Lin, Xu Lin, Lars Lind, Jaana Lindström, Allan Linneberg, Ching-Ti Liu, Dajiang J Liu, Yongmei Liu, Ken S Lo, Artitaya Lophatananon, Andrew J Lotery, Anu Loukola, Jian'an Luan, Steven A Lubitz, Leo-Pekka Lyytikäinen, Satu Männistö, Gaëlle Marenne, Angela L Mazul, Mark I McCarthy, Roberta McKean-Cowdin, Sarah E Medland, Karina Meidtner, Lili Milani, Vanisha Mistry, Paul Mitchell, Karen L Mohlke, Leena Moilanen, Marie Moitry, Grant W Montgomery, Dennis O Mook-Kanamori, Carmel Moore, Trevor A Mori, Andrew D Morris, Andrew P Morris, Martina Müller-Nurasyid, Patricia B Munroe, Mike A Nalls, Narisu Narisu, Christopher P Nelson, Matt Neville, Sune F Nielsen, Kjell Nikus, Pål R Njølstad, Børge G Nordestgaard, Dale R Nyholt, Jeffrey R O'Connel, Michelle L O'Donoghue, Loes M Olde Loohuis, Roel A Ophoff, Katharine R Owen, Chris J Packard, Sandosh Padmanabhan, Colin N A Palmer, Nicholette D Palmer, Gerard Pasterkamp, Aniruddh P Patel, Alison Pattie, Oluf Pedersen, Peggy L Peissig, Gina M Peloso, Craig E Pennell, Markus Perola, James A Perry, John R B Perry, Tune H Pers, Thomas N Person, Annette Peters, Eva R B Petersen, Patricia A Peyser, Ailith Pirie, Ozren Polasek, Tinca J Polderman, Hannu Puolijoki, Olli T Raitakari, Asif Rasheed, Rainer Rauramaa, Dermot F Reilly, Frida Renström, Myriam Rheinberger, Paul M Ridker, John D Rioux, Manuel A Rivas, David J Roberts, Neil R Robertson, Antonietta Robino, Olov Rolandsson, Igor Rudan, Katherine S Ruth, Danish Saleheen, Veikko Salomaa, Nilesh J Samani, Yadav Sapkota, Naveed Sattar, Robert E Schoen, Pamela J Schreiner, Matthias B Schulze, Robert A Scott, Marcelo P Segura-Lepe, Svati H Shah, Wayne H-H Sheu, Xueling Sim, Andrew J Slater, Kerrin S Small, Albert V Smith, Lorraine Southam, Timothy D Spector, Elizabeth K Speliotes, John M Starr, Kari Stefansson, Valgerdur Steinthorsdottir, Kathleen E Stirrups, Konstantin Strauch, Heather M Stringham, Michael Stumvoll, Liang Sun, Praveen Surendran, Amy J Swift, Hayato Tada, Katherine E Tansey, Jean-Claude Tardif, Kent D Taylor, Alexander Teumer, Deborah J Thompson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Betina H Thuesen, Anke Tönjes, Gerard Tromp, Stella Trompet, Emmanouil Tsafantakis, Jaakko Tuomilehto, Anne Tybjaerg-Hansen, Jonathan P Tyrer, Rudolf Uher, André G Uitterlinden, Matti Uusitupa, Sander W Laan, Cornelia M Duijn, Nienke Leeuwen, Jessica van Setten, Mauno Vanhala, Anette Varbo, Tibor V Varga, Rohit Varma, Digna R Velez Edwards, Sita H Vermeulen, Giovanni Veronesi, Henrik Vestergaard, Veronique Vitart, Thomas F Vogt, Uwe Völker, Dragana Vuckovic, Lynne E Wagenknecht, Mark Walker, Lars Wallentin, Feijie Wang, Carol A Wang, Shuai Wang, Yiqin Wang, Erin B Ware, Nicholas J Wareham, Helen R Warren, Dawn M Waterworth, Jennifer Wessel, Harvey D White, Cristen J Willer, James G Wilson, Daniel R Witte, Andrew R Wood, Ying Wu, Hanieh Yaghootkar, Jie Yao, Pang Yao, Laura M Yerges-Armstrong, Robin Young, Eleftheria Zeggini, Xiaowei Zhan, Weihua Zhang, Jing Hua Zhao, Wei Zhao, Wei Zhou, Krina T Zondervan, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Jerome I Rotter, John A Pospisilik, Fernando Rivadeneira, Ingrid B Borecki, Panos Deloukas, Timothy M Frayling, Guillaume Lettre, Kari E North, Cecilia M Lindgren, Joel N Hirschhorn, Ruth J F Loos Show less
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding var Show more
Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity. Show less
📄 PDF DOI: 10.1038/s41588-017-0011-x
GIPR
Tongyuan Hu, Zhongli Yang, Ming D Li · 2018 · Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · Springer · added 2026-04-24
Beyond promoting smoking initiation and preventing smokers from quitting, nicotine can reduce food intake and body weight and thus is viewed as desirable by some smokers, especially many women. During Show more
Beyond promoting smoking initiation and preventing smokers from quitting, nicotine can reduce food intake and body weight and thus is viewed as desirable by some smokers, especially many women. During the last several decades, the molecular mechanisms underlying the inverse correlation between smoking and body weight have been investigated extensively in both animals and humans. Nicotine's weight effects appear to result especially from the drug's stimulation of α3β4 nicotine acetylcholine receptors (nAChRs), which are located on pro-opiomelanocortin (POMC) neurons in the arcuate nucleus (ARC), leading to activation of the melanocortin circuit, which is associated with body weight. Further, α7- and α4β2-containing nAChRs have been implicated in weight control by nicotine. This review summarizes current understanding of the regulatory effects of nicotine on food intake and body weight according to the findings from pharmacological, molecular genetic, electrophysiological, and feeding studies on these appetite-regulating molecules, such as α3β4, α7, and α4β2 nAChRs; neuropeptide Y (NPY); POMC; melanocortin 4 receptor (MC4R); agouti-related peptide (AgRP); leptin, ghrelin, and protein YY (PYY). Show less
no PDF DOI: 10.1007/s11481-018-9800-y
MC4R
Ting-Ting Jiang, Li-Ying Shi, Jing Chen +9 more · 2018 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
This research aimed to discover potential biomarkers for evaluating the therapeutic efficacy of intensive therapy in pulmonary tuberculosis (TB). Protein profiles in 2-months intensively treated TB pa Show more
This research aimed to discover potential biomarkers for evaluating the therapeutic efficacy of intensive therapy in pulmonary tuberculosis (TB). Protein profiles in 2-months intensively treated TB patients, untreated TB patients, and healthy controls were investigated with iTRAQ-2DLC-MS/MS technique. 71 differential proteins were identified in 2-months intensively treated TB patients. Significant differences in complement component C7 (CO7), apolipoprotein A-IV (APOA4), apolipoprotein C-II (APOC2), and angiotensinogen (ANGT) were found by ELISA validation. CO7 and ANGT were also found significantly different in sputum negative patients, compared with sputum positive patients after intensive treatment. Clinical analysis showed that after 2-months intensive treatment several indicators were significantly changed, and the one-year cure rate of sputum negative patients were significantly higher than sputum positive patients. Diagnostic models consisting of APOC2, CO7 and APOA4 were established to distinguish intensively treated TB patients from untreated TB patients and healthy controls with the AUC value of 0.910 and 0.935. Meanwhile, ANGT and CO7 were combined to identify sputum negative and sputum positive TB patients after intensive treatment with 89.36% sensitivity, 71.43% specificity, and the AUC value of 0.853. The results showed that APOC2, CO7, APOA4, and ANGT may be potential biomarkers for evaluating the efficacy of intensive anti-TB therapy. Show less
no PDF DOI: 10.1016/j.bbrc.2018.06.147
APOA4
Jian Shi, Xiaohua Li, Fan Zhang +9 more · 2018 · Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · added 2026-04-24
Current studies have indicated that long non-coding RNAs (lncRNAs) could act as tumor biomarkers for disease diagnosis and prognosis prediction. In this study, we mainly focused on determining the exp Show more
Current studies have indicated that long non-coding RNAs (lncRNAs) could act as tumor biomarkers for disease diagnosis and prognosis prediction. In this study, we mainly focused on determining the expression of circulating lncRNAs in patients suffering for hilar cholangiocarcinoma (HC), aiming to reveal the potential lncRNA as a fingerprint. A total 12 lncRNAs were previously proven to be aberrantly expressed in HC tumor tissues. All of the 12 lncRNAs were selected as candidate targets for subsequent circulating lncRNA assay. The candidate lncRNAs were validated by qRT-PCR arranged in training and validation sets. The risk score analysis was employed. Data was presented with receiver operating characteristic curve (ROC). Circulating PCAT1, MALAT1, and CPS1-IT1 were significantly increased in plasma samples of HC patients in both the training set and validation set. Through ROC analysis, we found that the three plasmatic lncRNAs presented the area under ROC curve value (AUC) as 0.784, 0.860, and 0.677. Further combination with the three factors indicated a higher power (AUC, 0.893; sensitivity, 85.5%; specificity, 93.2%). This was the first time to reveal the potential circulating fingerprints for predicting HC. PCAT1, MALAT1, and CPS1-IT1 may act as novel early diagnosis biomarkers for predicting HC. Show less
no PDF DOI: 10.1159/000493613
CPS1
Ying Ding, Cong Wang, Xuejie Li +13 more · 2018 · Diagnostic pathology · BioMed Central · added 2026-04-24
Metanephric adenoma is a rare, benign renal neoplasm with occasional misdiagnosis. However, its molecular characterization is not fully understood. In this study, we use the hybrid capture-based Next- Show more
Metanephric adenoma is a rare, benign renal neoplasm with occasional misdiagnosis. However, its molecular characterization is not fully understood. In this study, we use the hybrid capture-based Next-Generation Sequencing to sequence a panel of 295 well-established oncogene or tumor suppressor genes in 28 cases of MA patients in China. Novel clinicopathological markers associated with the mitogen-activated protein kinase (MAPK) pathway in metanephric adenoma were detected by immunohistochemistry. It was found that except for BRAF (22/28) mutations (c.1799 T > A, p.V600E), NF1 (6/28), NOTCH1 (5/28), SPEN (5/28), AKT2 (4/28), APC (4/28), ATRX (3/28), and ETV4 (3/28) mutations could also be detected. Meanwhile, a novel and rare gene fusion of STARD9-BRAF, CUX1-BRAF, and LOC100507389-BRAF was detected in one MA patient. In addition, although MEK phosphorylation was normally activated, the phosphorylation level of ERK was low in metanephric adenoma cases. Highly expressed p16 and DUSP6 may have contributed to these results, which maintained MA as a benign renal tumor. This study provides novel molecular and pathological markers for metanephric adenoma, which could improve its diagnosis and increase the understanding of its pathologic mechanism. Show less
📄 PDF DOI: 10.1186/s13000-018-0732-x
DUSP6
Zhen He, Rong Zhang, Feng Jiang +8 more · 2018 · Clinical epigenetics · BioMed Central · added 2026-04-24
Genome-wide association studies (GWASs) have shown that genetic variants are important determinants of free fatty acid levels. The mechanisms underlying the associations between genetic variants and f Show more
Genome-wide association studies (GWASs) have shown that genetic variants are important determinants of free fatty acid levels. The mechanisms underlying the associations between genetic variants and free fatty acid levels are incompletely understood. Here, we aimed to identify genetic markers that could influence diverse fatty acid levels in a Chinese population and uncover the molecular mechanisms in terms of DNA methylation and gene expression. We identified strong associations between single-nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) region and multiple polyunsaturated fatty acids. Expression quantitative trait locus (eQTL) analysis of rs174570 on FADS1 and FADS2 mRNA levels proved that minor allele of rs174570 was associated with decreased FADS1 and FADS2 expression levels (P < 0.05). Methylation quantitative trait locus (mQTL) analysis of rs174570 on DNA methylation levels in three selected regions of FADS region showed that the methylation levels at four CpG sites in FADS1, one CpG site in intragenic region, and three CpG sites in FADS2 were strongly associated with rs174570 (P < 0.05). Then, we demonstrated that methylation levels at three CpG sites in FADS1 were negatively associated with FADS1 and FADS2 expression, while two CpG sites in FADS2 were positively associated with FADS1 and FADS2 expression. Using mediation analysis, we further show that the observed effect of rs174570 on gene expression was tightly correlated with the effect predicted through association with methylation. Our findings suggest that genetic variants in the FADS region are major genetic modifiers that can regulate fatty acid metabolism through epigenetic gene regulation. Show less
📄 PDF DOI: 10.1186/s13148-018-0545-5
FADS1
Yan Cheng, Cátia Monteiro, Andreia Matos +9 more · 2018 · Clinical epigenetics · BioMed Central · added 2026-04-24
Periprostatic adipose tissue (PPAT) has been recognized to associate with prostate cancer (PCa) aggressiveness and progression. Here, we sought to investigate whether excess adiposity modulates the me Show more
Periprostatic adipose tissue (PPAT) has been recognized to associate with prostate cancer (PCa) aggressiveness and progression. Here, we sought to investigate whether excess adiposity modulates the methylome of PPAT in PCa patients. DNA methylation profiling was performed in PPAT from obese/overweight (OB/OW, BMI > 25 kg m Five thousand five hundred twenty-six differentially methylated CpGs were identified between OB/OW and NW PCa patients with 90.2% hypermethylated. Four hundred eighty-three of these CpGs were found to be located at both promoters and CpG islands, whereas the representing 412 genes were found to be involved in pluripotency of stem cells, fatty acid metabolism, and many other biological processes; 14 of these genes, particularly Results showed that the whole epigenome methylation profiles of PPAT were significantly different in OB/OW compared to normal weight PCa patients. The epigenetic variation associated with excess adiposity likely resulted in altered lipid metabolism and immune dysregulation, contributing towards unfavorable PCa microenvironment, thus warranting further validation studies in larger samples. Show less
📄 PDF DOI: 10.1186/s13148-018-0490-3
FADS1
Shuai Lin, Yu-Yuan Zhu, Wei Hu +4 more · 2018 · Reproduction (Cambridge, England) · added 2026-04-24
Decidualization is required for the successful establishment of pregnancy in rodents and primates. Fatty acid desaturase 3 (Fads3) belongs to the fatty acid desaturase family, which is a crucial enzym Show more
Decidualization is required for the successful establishment of pregnancy in rodents and primates. Fatty acid desaturase 3 (Fads3) belongs to the fatty acid desaturase family, which is a crucial enzyme for highly unsaturated fatty acid biosynthesis. However, the expression, regulation and function of Fads3 during early pregnancy in mice are still unknown. In this study, we examined Fads3 expression, regulation and function during mouse decidualization. The expression of Fads3 is detected in the subluminal stromal cells at implantation site on day 5 of pregnancy, but not at inter-implantation site and in day 5 pseudopregnant uteri. Compared to delayed implantation, Fads3 is strongly expressed after delayed implantation is activated by estrogen treatment. From days 6 to 8, Fads3 mRNA signals are significantly detected in the decidua. In ovariectomized mice, estrogen significantly stimulates Fads3 expression. However, estrogen has no effect on Fads3 expression in ovariectomized ERα-deficient mice, suggesting that estrogen regulation on Fads3 expression is ERα dependent. When ovariectomized mice were treated with progesterone, Fads3 expression is significantly increased by progesterone. Progesterone stimulation on Fads3 expression is also detected in cultured stromal cells, which is abrogated by RU486 treatment. These data indicate that progesterone upregulation on Fads3 expression is progesterone receptor-dependent. Fads3 knockdown by siRNA reduces in vitro decidualization of mouse stromal cells. Taken together, Fads3 may play an important role during mouse decidualization. Show less
no PDF DOI: 10.1530/REP-18-0145
FADS3