👤 Bolu Sun

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1096
Articles
753
Name variants
Also published as: Aijun Sun, Aina Sun, Aiping Sun, Aiqin Sun, Aiyun Sun, Albert Y Sun, Alfred Xuyang Sun, Anqiang Sun, Ao Sun, Aochuan Sun, Baisheng Sun, Bao-Liang Sun, Baoli Sun, Bei Sun, Beibei Sun, Belinda L Sun, Benjamin B Sun, Bin Sun, Bing Sun, Bingfa Sun, Binggui Sun, Bo Sun, Bo-Qian Sun, Boxing Sun, Boxuan Sun, Boyun Sun, C Sun, Caihong Sun, Cailu Sun, Caiyun Sun, Caroline Sun, Chang Sun, Chang-Hao Sun, Changbao Sun, Changbin Sun, Changfu Sun, Changgang Sun, Changqing Sun, Changshan Sun, Chao Sun, Chen Sun, Cheng Sun, Chengkai Sun, Chenglu Sun, Chengxi Sun, Chenliang Sun, Chenming Sun, Chenxu Sun, Chenyu Sun, Chi-Kuang Sun, Chuanyao Sun, Chuanzheng Sun, Chun Sun, Chun-Lei Sun, Chunbin Sun, Chung-Huan Sun, Chunlan Sun, Chunli Sun, Chunmeng Sun, Cong Sun, Cuihua Sun, D Sun, DaTong Sun, Dage Sun, Dandan Sun, Daqing Sun, Dating Sun, Daxiao Sun, Dazhong Sun, De Sun, Deyu Sun, Di Sun, Di-Yang Sun, Dian-Jun Sun, DianJian-Yi Sun, Dianjianyi Sun, Ding-Ping Sun, Dongdong Sun, Donglei Sun, Donglin Sun, Dongmei Sun, Dongming Sun, Dongqing Sun, Dongxiao Sun, Dongxue Sun, Dusang Sun, Dylan Sun, Emily W Sun, F Sun, F Y Sun, F-H Sun, Fan Sun, Fang Sun, Fangfang Sun, Fanghui Sun, Fei Sun, Feiyi Sun, Feng Sun, Feng-Yuan Sun, Fengjiao Sun, Fengjie Sun, Fengping Sun, Fengyun Sun, Fenyong Sun, Fuju Sun, Fusheng Sun, Fuyun Sun, Gao Sun, Gaoyuan Sun, Ge Sun, Gengrun Sun, Gengyun Sun, Genmin Sun, Guanchao Sun, Guang Sun, Guanghui Sun, Guangli Sun, Guangqing Sun, Guangtao Sun, Guangyan Sun, Guangyong Sun, Guangyun Sun, Gui-Ju Sun, Gui-Zhi Sun, Guibo Sun, Guirong Sun, Guiying Sun, Guodong Sun, Guogen Sun, Guoping Sun, Guotao Sun, Guotong Sun, Guozhe Sun, H Sun, H Sunny Sun, H W Sun, H Y Sun, H-Y Sun, Haichuan Sun, Haidan Sun, Haijun Sun, Haimin Sun, Haipeng Sun, Hairong Sun, Hairui Sun, Haixi Sun, Haixuan Sun, Haiyan Sun, Haiyue Sun, Handong Sun, Hang Sun, Hanxing Sun, Hanxue Sun, Hao Sun, Haoyang Sun, Haoyu Sun, He Sun, Hefen Sun, Heyang Sun, Hong Sun, Hong-Tao Sun, Hong-Xia Sun, Hong-Xu Sun, Hongbin Sun, Hongjian Sun, Hongli Sun, Honglin Sun, Hongmei Sun, Hongmiao Sun, Hongtao Sun, Hongwei Sun, Hongyan Sun, Hongying Sun, Houyi Sun, Hsin-Yun Sun, Hu Sun, Hu-Nan Sun, Hua Sun, Huaiqing Sun, Hualin Sun, Huan Sun, Huaxin Sun, Hui Sun, Hui-Li Sun, Huichuan Sun, Huihui Sun, Huijun Sun, Huiling Sun, Huimeng Sun, Huimin Sun, Huiru Sun, Hung-Yu Sun, J X Sun, J-X Sun, Ji-Jun Sun, Jia Sun, Jia-Hui Sun, Jia-Jie Sun, Jia-Qi Sun, Jia-Xiang Sun, Jiaao Sun, Jiabao Sun, Jiachen Sun, Jiacheng Sun, Jiahong Sun, Jiajie Sun, Jialu Sun, Jiameng Sun, Jiamin Sun, Jian Hong Sun, Jian Sun, Jian-Song Sun, Jianbo Sun, Jianfang Sun, Jiangli Sun, Jiangling Sun, Jiangming Sun, Jiangnan Sun, Jianhua Sun, Jianjian Sun, Jianmin Sun, Jianqi Sun, Jianqiang Sun, Jianqin Sun, Jianqiu Sun, Jianyang Sun, Jianyuan Sun, Jiaqi Sun, Jiaqian Sun, Jiatong Sun, Jiawei Sun, Jiayang Sun, Jiayi Sun, Jiayu Sun, Jie Sun, Jie-Yu Sun, Jiehuan Sun, Jielin Sun, Jiewei Sun, Jijia Sun, Jin Sun, Jin-Hua Sun, Jin-Peng Sun, Jing Sun, Jing-Chao Sun, Jing-Yi Sun, Jingchuan Sun, Jingchun Sun, Jingfeng Sun, Jinghui Sun, Jingwei Sun, Jingyan Sun, Jingyu Sun, Jinpeng Sun, Jinsheng Sun, Jitong Sun, Jiusheng Sun, Jonathan Sun, Jong-Mu Sun, Jun Sun, Jun-Hong Sun, Jun-Jun Sun, Jun-Li Sun, Junjun Sun, Junming Sun, Junyi Sun, Junyuan Sun, Kai SUN, Kan Sun, Kangjun Sun, Kangyun Sun, Ke Sun, KeYang Sun, Kejian Sun, Kewang Sun, Kexin Sun, Kun Sun, L R Sun, L Sun, Lanlan Sun, Le Sun, Lei Sun, Li Sun, Li-Juan Sun, Li-Ping Sun, Liang Sun, Liangdan Sun, Liangliang Sun, Libin Sun, Lichun Sun, Lida Sun, Lidan Sun, Lihan Sun, Lihong Sun, Lihua Sun, Lili Sun, Limin Sun, Lin Sun, Lin-Bing Sun, Linchong Sun, Ling Sun, Ling V Sun, Ling-Yue Sun, Lingwei Sun, Lingyao Sun, Lingyun Sun, Linlin Sun, Linshan Sun, Linyong Sun, Liqiang Sun, Liwei Sun, Lixian Sun, Liya Sun, Liying Sun, Lizhe Sun, Lizhi Sun, Lizhou Sun, Longci Sun, Lu Sun, Luguo Sun, Lulu Sun, Luming Sun, Luyang Sun, Man Sun, Manqing Sun, Manyu Sun, Mao Sun, Mei Sun, Meige Sun, Meiling Sun, Meng Sun, Mengfan Sun, Menghong Sun, Mengmeng Sun, Mengmin Sun, Mengyi Sun, Miao Sun, Miaomiao Sun, Min Sun, Ming Sun, Ming-Ze Sun, Mingjie Sun, Mingju Sun, Mingjuan Sun, Mingjun Sun, Mingkuan Sun, Minglei Sun, Mingliang Sun, Mingwei Sun, Minling Sun, Minxuan Sun, Minzeng Sun, Mizhu Sun, Na Sun, Naiyuan Sun, Nan Sun, Ni Sun, Ning Sun, Ningyang Sun, Ningyuan Sun, Olivia Sun, P Sun, Pan Sun, Patrick Sun, Peijie Sun, Peiyang Sun, Peng Sun, Pengfei Sun, Pengqing Sun, Pengyu Sun, Peter Sun, Ping Sun, Ping-Hui Sun, Ping-Ping Sun, Pingping Sun, Q Sun, Qi Sun, Qi-Long Sun, Qi-Xiang Sun, Qi-Ying Sun, Qi-hong Sun, Qian Sun, Qian-Qian Sun, Qianqian Sun, Qiao Sun, Qiao Yang Sun, Qiaoyi Sun, Qihang Sun, Qilin Sun, Qiman Sun, Qiming Sun, Qin Sun, Qing Sun, Qing-Yuan Sun, Qingan Sun, Qingjia Sun, Qingqing Sun, Qingrong Sun, Qingxiang Sun, Qingyu Sun, Qinli Sun, Qinqin Sun, Qinxue Sun, Qinyuan Sun, Qiong Sun, Qiqing Sun, Qiu Sun, Qiushi Sun, Qiying Sun, Quan Sun, Quancai Sun, Ramon C Sun, Ran Sun, Ravi W Sun, Renhua Sun, Renjuan Sun, Renqiang Sun, Roger Sun, Rong Sun, Rong-Qi Sun, Rongkuan Sun, Rongli Sun, Rongxin Sun, Rui Sun, Rui-Ping Sun, Ruijie Sun, Ruijun Sun, Ruiqiang Sun, Ruixuan Sun, Runlu Sun, Ruohan Sun, Ruonan Sun, Ruoyuan Sun, Ruxin Sun, Sanmiao Sun, Seunghan Sun, Shang-Xing Sun, Shao-Wei Sun, Shao-Yang Sun, Shaowu Sun, Shaoyang Sun, Shasha Sun, Shenfei Sun, Sheng-Nan Sun, Shengnan Sun, Shenyu Sun, Shi-Yong Sun, Shi-Yu Sun, Shibo Sun, Shifang Sun, Shihao Sun, Shiqi Sun, Shisheng Sun, Shixue Sun, Shiying Sun, Shouguo Sun, Shouyuan Sun, Shu Sun, Shu-han Sun, Shuaijie Sun, Shuaiqi Sun, Shuang Sun, Shuchen Sun, Shukai Sun, Shuna Sun, Shuo Sun, Shutao Sun, Shuyi Sun, Si Sun, Si-Jia Sun, Siduo Sun, Sifan Sun, Silei Sun, Silong Sun, Siman Sun, Siyu Sun, Song-Tao Sun, Songtao Sun, Sunny Z Sun, T Sun, Tao Sun, Taolei Sun, Taoli Sun, Taotao Sun, Teng Sun, Tengyang Sun, Tiantian Sun, Tianyu Sun, Ting Sun, Tingyue Sun, Tong Sun, Tongyu Sun, Vincent Sun, W Sun, W-J Sun, Wancheng Sun, Wanjun Sun, Wanying Sun, Wei Sun, Wei-Chih Sun, Wei-Chun Sun, Weibing Sun, Weiliang Sun, Weiqiang Sun, Weiwei Sun, Weixia Sun, Wen Sun, Wen-Qin Sun, Wenchao Sun, Wenjie Sun, Wenjing Sun, Wenjun Sun, Wenqiang Sun, Wensheng Sun, Wenxian Sun, Wenxiang Sun, Wenyan Sun, Wenye Sun, Wenyue Sun, William Sun, Wu Sun, Wu-Sheng Sun, Wui Sun, Wuxiang Sun, X L Sun, X-J Sun, Xi Sun, Xi-Ming Sun, Xi-Zhe Sun, Xia Sun, Xialin Sun, Xianbang Sun, Xianchao Sun, Xianding Sun, Xiang Ming Sun, Xiang Sun, Xiangwei Sun, Xiangxue Sun, Xiangyu Sun, Xiao Fan Sun, Xiao Sun, Xiao-Feng Sun, Xiao-Long Sun, Xiao-Meng Sun, Xiao-Yi Sun, Xiao-Ying Sun, XiaoMei Sun, Xiaobo Sun, Xiaochuan Sun, Xiaodong Sun, Xiaoguang Sun, Xiaohan Sun, Xiaohui Sun, Xiaojing Sun, Xiaojuan Sun, Xiaoke Sun, Xiaoli Sun, Xiaolu Sun, Xiaomin Sun, Xiaonan Sun, Xiaoning Sun, Xiaotian Sun, Xiaotong Sun, Xiaowei Sun, Xiaoxian Sun, Xiaoyan Sun, Xiaoying Sun, Xiaozhi Sun, Xin Sun, Xinchen Sun, Xing Sun, Xing-Hong Sun, Xinghuai Sun, Xinglin Sun, Xinyue Sun, Xiong-Lin Sun, Xipeng Sun, Xiu-Lan Sun, Xiu-Min Sun, Xiujie Sun, Xiuxia Sun, Xiuyuan Sun, Xu Sun, Xu-Ying Sun, Xuan Sun, Xuankai Sun, Xudong Sun, Xue-Guo Sun, Xuehui Sun, Xuejun Sun, Xuemei Sun, Xuepeng Sun, Xuerong Sun, Xuesu Sun, Xuewu Sun, Xueyi Sun, Xuezhao Sun, Xufang Sun, Xuling Sun, Xun Sun, Y J Sun, Y Sun, Y T Sun, Y-Z Sun, Ya-Meng Sun, Ya-Nan Sun, Ya-Qin Sun, Ya-Wen Sun, Yadong Sun, Yajie Sun, Yalan Sun, Yan Sun, Yan V Sun, Yan-Xiang Sun, Yan-Yun Sun, Yanan Sun, Yanfu Sun, Yang Sun, Yangbai Sun, Yangcheng Sun, Yanhua Sun, Yanjie Sun, Yanjun Sun, Yanning Sun, Yanqi Sun, Yanqin Sun, Yanting Sun, Yao Sun, Yaoyao Sun, Yaping Sun, Yating Sun, Yaxi Sun, Yaxuan Sun, Yaxue Sun, Yaxun Sun, Ye Sun, Ye-Huan Sun, Yeying Sun, Yi E Sun, Yi Sun, Yi-Shan Sun, Yi-hong Sun, Yibo Sun, Yichang Sun, Yidan Sun, Yiguo Sun, Yihang Sun, Yihua Sun, Yijun Sun, Yin-Biao Sun, Ying Sun, Ying-Pu Sun, Yingchuan Sun, Yinggang Sun, Yingjie Sun, Yingli Sun, Yinglu Sun, Yingni Sun, Yingpu Sun, Yingxian Sun, Yingying Sun, Yinhua Sun, Yini Sun, Yinjia Sun, Yiran Sun, Yisuo Sun, Yitang Sun, Yixi Sun, Yixuan Sun, Yiyang Sun, Yiyuan Sun, Yize Sun, Yizhou Sun, Yizhuo Sun, Yong Sun, Yong-Tao Sun, Yongchang Sun, Yonghu Sun, Yongkun Sun, Yongqiao Sun, Yongxin Sun, Yu Ling Sun, Yu Sun, Yu-Ting Sun, Yu-hao Sun, Yuan Sun, Yuanhong Sun, Yuanyuan Sun, Yubo Sun, Yue Sun, Yuefeng Sun, Yueming Sun, Yuezhang Sun, Yufang Sun, Yuhang Sun, Yuhao Sun, Yuhong Sun, Yujia Sun, Yujie Sun, Yujin Sun, Yulian Sun, Yulin Sun, Yun Sun, Yunchuang Sun, Yuning Sun, Yunyi Sun, Yunzhang Sun, Yupeng Sun, Yuqi Sun, Yuqing Sun, Yuting Sun, Yutong Sun, Yuxiang Sun, Yuyao Sun, Yuying Sun, Z Sun, Zanzong Sun, Zeren Sun, Zeyu Sun, Zhanhang Sun, Zhaoyuan Sun, Zhe Sun, Zhen Sun, Zheng Sun, Zhengxi Sun, Zhenliang Sun, Zhennan Sun, Zhenqiang Sun, Zhenshan Sun, Zhenxiao Sun, Zhenzhen Sun, Zhifu Sun, Zhiguo Sun, Zhiwei Sun, Zhiyuan Sun, Zhonghe Sun, Zhonghua Sun, Zhongjie Sun, Zhongshi Sun, Zhongwu Sun, Zhongyuan Sun, Zhou Sun, Zhouna Sun, Zhouyi Sun, Zicheng Sun, Zikejimu Sun, Zirui Sun, Zixue Sun, Zongguo Sun, Zongqiong Sun, Zongyi Sun, Zuoli Sun
articles
Yuanzhuo Gu, Xiyang Wei, Yulin Sun +12 more · 2019 · Cancer research · added 2026-04-24
Various cancer stem cell (CSC) biomarkers have been identified for hepatocellular carcinoma (HCC), but little is known about the implications of heterogeneity and shared molecular networks within the Show more
Various cancer stem cell (CSC) biomarkers have been identified for hepatocellular carcinoma (HCC), but little is known about the implications of heterogeneity and shared molecular networks within the CSC population. Through miRNA profile analysis in an HCC cohort ( Show less
no PDF DOI: 10.1158/0008-5472.CAN-18-1675
PABPC4
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
L-S Zhang, H-G Ma, F-H Sun +2 more · 2019 · European review for medical and pharmacological sciences · added 2026-04-24
The aim of this study was to explore the role of microRNA-203 (miR-203) in Prostate Cancer (PCa), and to further verify its influence in PCa cell function. The expression level of miR-203 in 55 clinic Show more
The aim of this study was to explore the role of microRNA-203 (miR-203) in Prostate Cancer (PCa), and to further verify its influence in PCa cell function. The expression level of miR-203 in 55 clinical PCa cases and cell lines was detected by qRT-PCR. Then, the target gene of miR-203 in PCa cells was predicted and verified by online prediction software and Luciferase reporter gene assay, respectively. Furthermore, the role of miR-203 in PCa cell proliferation, colony formation, cell cycle and metastasis capacities was detected through a series of in vitro experiments. The expression of miR-203 in PCa tissues and cells was significantly reduced when compared with that of normal tissues and cells. In searching for potential downstream targets of miR-203, a regulator of G-protein signaling 17 (RGS17) entered our sight due to its active role in a variety of malignant tumors. More importantly, the negative regulation of RGS17 by miR-203 was verified by Luciferase reporter gene assay. Functional experiments demonstrated that low expression of RGS17 in PCa cells induced by up-regulation of miR-203 could significantly restrain the proliferation, invasion and migration capacities of PCa cells. MiR-203 served as a tumor suppressor gene in PCa. Through targeting RGS17, miR-203 significantly controlled the malignant behavior of PCa cells. Our findings revealed that miR-203/RGS17 axis might be a potential therapeutic target for the treatment of PCa. Show less
no PDF DOI: 10.26355/eurrev_201907_18303
RGS17
Mingming Ma, Shuzhi Zhao, Jian Zhang +3 more · 2019 · Frontiers in pharmacology · Frontiers · added 2026-04-24
High glucose (HG) increases the production of reactive oxygen species (ROS), leading to decreased glutamate uptake in Müller cells. The transient receptor potential cation channel 6 (TRPC6) channel, a Show more
High glucose (HG) increases the production of reactive oxygen species (ROS), leading to decreased glutamate uptake in Müller cells. The transient receptor potential cation channel 6 (TRPC6) channel, an oxidative stress-sensitive Ca Show less
no PDF DOI: 10.3389/fphar.2019.01668
RMC1
Ping Zhou, Weijie Xie, Xiangbao Meng +5 more · 2019 · Cells · MDPI · added 2026-04-24
no PDF DOI: 10.3390/cells8030213
RMC1
Theresa M Hardy, Veronica Barcelona, Yan V Sun +1 more · 2019 · Nursing research · added 2026-04-24
Age at menarche and age at natural menopause occur significantly earlier in African American women than in other ethnic groups. African American women also have twice the prevalence of cardiometabolic Show more
Age at menarche and age at natural menopause occur significantly earlier in African American women than in other ethnic groups. African American women also have twice the prevalence of cardiometabolic disorders related to the timing of these reproductive traits. The objectives of this integrative review were to (a) summarize the genome-wide association studies of reproductive traits in African American women, (b) identify genes that overlap with reproductive traits and cardiometabolic risk factors in African American women, and (c) propose biological mechanisms explaining the link between reproductive traits and cardiometabolic risk factors. PubMed was searched for genome-wide association studies of genes associated with reproductive traits in African American women. After extracting and summarizing the primary genes, we examined whether any of the associations with reproductive traits had also been identified with cardiometabolic risk factors in African American women. Seven studies met the inclusion criteria. Associations with both reproductive and cardiometabolic traits were reported in or near the following genes: FTO, SEC16B, TMEM18, APOE, PHACTR1, KCNQ1, LDLR, PIK3R1, and RORA. Biological pathways implicated include body weight regulation, vascular homeostasis, and lipid metabolism. A better understanding of the genetic basis of reproductive traits in African American women may provide insight into the biological mechanisms linking variation in these traits with increased risk for cardiometabolic disorders in this population. Show less
no PDF DOI: 10.1097/NNR.0000000000000337
SEC16B
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
Shengzhuang Yang, Tao Liu, Yu Sun +1 more · 2019 · Cellular & molecular biology letters · BioMed Central · added 2026-04-24
The expression of the long noncoding RNA LINC00483 is upregulated in lung adenocarcinoma (LUAD). However, its role in the progression of LUAD and the underlying mechanisms remain elusive. The expressi Show more
The expression of the long noncoding RNA LINC00483 is upregulated in lung adenocarcinoma (LUAD). However, its role in the progression of LUAD and the underlying mechanisms remain elusive. The expressions of LINC00483 and miR-204-3p were determined using quantitative real-time PCR. The correlation between the clinicopathological characteristics of LUAD patients and LINC00483 expression was analyzed using Pearson's χ LINC00483 was upregulated in LUAD tissues and cell lines. Higher LINC00483 levels closely correlated to shorter survival times, advanced TNM stage, larger tumor size and positive lymph node metastasis. Cell proliferation, migration and invasion were suppressed after LINC00483 knockdown. LINC00483 mainly localized in the cytoplasm, where it acted as a sponge of miR-204-3p. ETS1 was validated as a downstream target of miR-204-3p and is thus regulated by LINC00483. This study demonstrated that LINC00483 facilitates the proliferation, migration and invasion of LUAD cells by acting as a sponge for miR-204-3p, which in turn regulates ETS1. Show less
no PDF DOI: 10.1186/s11658-019-0192-7
SNAI1
Yongli Li, Tengfei Huang, Yun Fu +6 more · 2019 · PloS one · PLOS · added 2026-04-24
The progression of cancer through local expansion and metastasis is well recognized, but preventing these characteristic cancer processes is challenging. To this end, a new strategy is required. In th Show more
The progression of cancer through local expansion and metastasis is well recognized, but preventing these characteristic cancer processes is challenging. To this end, a new strategy is required. In this study, we presented a novel dual functional podophyllotoxin derivative, 2-pyridinealdehyde hydrazone dithiocarbamate S-propionate podophyllotoxin ester (PtoxPdp), which inhibited both matrix metalloproteinases and Topoisomerase II. This new podophyllotoxin derivative exhibited significant anti-proliferative, anti-metastatic that correlated with the downregulation of matrix metalloproteinase. In a xenograft animal local expansion model, PtoxPdp was superior to etoposide in tumor repression. A preliminary mechanistic study revealed that PtoxPdp induced apoptosis and autophagy via the PI3K/AKT/mTOR pathway. Furthermore, PtoxPdp could also inhibit epithelial-mesenchymal transition, which was achieved by downregulating both PI3K/AKT/mTOR and NF-κB/Snail pathways. Taken together, our results reveal that PtoxPdp is a promising antitumor drug candidate. Show less
no PDF DOI: 10.1371/journal.pone.0215886
SNAI1
Huimei Chen, Aida Moreno-Moral, Francesco Pesce +24 more · 2019 · Nature communications · Nature · added 2026-04-24
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
no PDF DOI: 10.1038/s41467-019-12060-5
WWP2
Huimei Chen, Aida Moreno-Moral, Francesco Pesce +24 more · 2019 · Nature communications · Nature · added 2026-04-24
Cardiac fibrosis is a final common pathology in inherited and acquired heart diseases that causes cardiac electrical and pump failure. Here, we use systems genetics to identify a pro-fibrotic gene net Show more
Cardiac fibrosis is a final common pathology in inherited and acquired heart diseases that causes cardiac electrical and pump failure. Here, we use systems genetics to identify a pro-fibrotic gene network in the diseased heart and show that this network is regulated by the E3 ubiquitin ligase WWP2, specifically by the WWP2-N terminal isoform. Importantly, the WWP2-regulated pro-fibrotic gene network is conserved across different cardiac diseases characterized by fibrosis: human and murine dilated cardiomyopathy and repaired tetralogy of Fallot. Transgenic mice lacking the N-terminal region of the WWP2 protein show improved cardiac function and reduced myocardial fibrosis in response to pressure overload or myocardial infarction. In primary cardiac fibroblasts, WWP2 positively regulates the expression of pro-fibrotic markers and extracellular matrix genes. TGFβ1 stimulation promotes nuclear translocation of the WWP2 isoforms containing the N-terminal region and their interaction with SMAD2. WWP2 mediates the TGFβ1-induced nucleocytoplasmic shuttling and transcriptional activity of SMAD2. Show less
no PDF DOI: 10.1038/s41467-019-11551-9
WWP2
Qingyuan Wang, Yifei Feng, Wen Peng +11 more · 2019 · Cancer letters · Elsevier · added 2026-04-24
Phosphatase and tensin homolog (PTEN), one of the most frequently mutated tumor suppressor genes in human cancer, is pivotal in the progression of colorectal cancer. Therefore, the regulation of PTEN Show more
Phosphatase and tensin homolog (PTEN), one of the most frequently mutated tumor suppressor genes in human cancer, is pivotal in the progression of colorectal cancer. Therefore, the regulation of PTEN has emerged as a theme of intense research in tumor biology. This study aims to show that long noncoding RNA (lncRNA) Linc02023 aberrant downregulation in colorectal cancer correlates positively with the expression of PTEN and CDKN2B but negatively with the tumor size in patients and xenografted mouse models. The gain- and loss-of-function investigation reveals that Linc02023 suppresses the proliferation of colorectal cancer cells in vitro and in vivo with apoptosis promotion and cell cycle rearrangement. Mechanistically, Linc02023 specifically binds to PTEN and blocks its interaction with and ubiquitination by WWP2, stabilizing it and suppressing its downstream expression. In conclusion, this study demonstrates that lncRNA Linc02023 may serve as a novel therapeutic target by restoring the PTEN tumor suppressor activity. Show less
no PDF DOI: 10.1016/j.canlet.2019.02.041
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
Brandon Podyma, Hui Sun, Eric A Wilson +5 more · 2018 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
Central melanocortin 4 receptors (MC4Rs) stimulate energy expenditure and inhibit food intake. MC4Rs activate the G protein G
no PDF DOI: 10.1074/jbc.RA118.003450
MC4R
Weiwei Qi, Libin Sun, Ning Liu +3 more · 2018 · Molecular medicine reports · added 2026-04-24
Gastric cancer has become a serious disease in the past decade. It has the second highest mortality rate among the four most common cancer types, leading to ~700,000 mortalities annually. Previous stu Show more
Gastric cancer has become a serious disease in the past decade. It has the second highest mortality rate among the four most common cancer types, leading to ~700,000 mortalities annually. Previous studies have attempted to elucidate the underlying biological mechanisms of gastric cancer. The present study aimed to obtain useful biomarkers and to improve the understanding of gastric cancer mechanisms at the genetic level. The present study used bioinformatics analysis to identify 1,829 differentially expressed genes (DEGs) which were obtained from the GSE54129 dataset. Using protein‑protein interaction information from the Search Tool for the Retrieval of Interacting Genes database, disease modules were constructed for gastric cancer using Cytoscape software. In the Gene Ontology analysis of biology processes, upregulated genes were significantly enriched in 'extracellular matrix organization', 'cell adhesion' and 'inflammatory response', whereas downregulated DEGs were significantly enriched in 'xenobiotic metabolic process', 'oxidation‑reduction process' and 'steroid metabolic process'. During Kyoto Encyclopedia of Genes and Genomes analysis, upregulated DEGs were significantly enriched in 'extracellular matrix‑receptor interaction', 'focal adhesion' and 'PI3K‑Akt signaling pathway', whereas the downregulated DEGs were significantly enriched in 'chemical carcinogenesis', 'metabolism of xenobiotics by cytochrome P450' and 'peroxisome'. The present study additionally identified 10 hub genes from the DEGs: Tumor protein p53 (TP53), C‑X‑C motif chemokine ligand 8 (CXCL8), tetraspanin 4 (TSPAN4), lysophosphatidic acid receptor 2 (LPAR2), adenylate cyclase 3 (ADCY3), phosphoinositide‑3‑kinase regulatory subunit 1 (PIK3R1), neuromedin U (NMU), C‑X‑C motif chemokine ligand (CXCL12), fos proto‑oncogene, AP‑1 transcription factor subunit (FOS) and sphingosine‑1‑phosphate receptor 1 (S1PR1), which have high degrees with other DEGs. The survival analysis revealed that the high expression of ADCY3, LPAR2, S1PR1, TP53 and TSPAN4 was associated with a lower survival rate, whereas high expression of CXCL8, FOS, NMU and PIK3R1 was associated with a higher survival rate. No significant association was identified between CXCL12 and survival rate. Additionally, TSPAN1 and TSPAN8 appeared in the top 100 DEGs. Finally, it was observed that 4 hub genes were highly expressed in gastric cancer tissue compared with para‑carcinoma tissue in the 12 patients; the increased TSPAN4 was significant (>5‑fold). Tetraspanin family genes may be novel biomarkers of gastric cancer. The findings of the present study may improve the understanding of the molecular mechanisms underlying the development of gastric cancer. Show less
📄 PDF DOI: 10.3892/mmr.2018.9360
ADCY3
Sheng Shi, Jiacheng Sun, Qingyou Meng +7 more · 2018 · Journal of thoracic disease · added 2026-04-24
Bone marrow-derived mesenchymal stem cells (BMSCs) have been proved to be capable of differentiating into endothelial cells (ECs), however, the differentiation efficiency is rather low. Sonic hedgehog Show more
Bone marrow-derived mesenchymal stem cells (BMSCs) have been proved to be capable of differentiating into endothelial cells (ECs), however, the differentiation efficiency is rather low. Sonic hedgehog (Shh), an important factor in vascular development and postnatal angiogenesis, exerted promotional effect on new vessel formation in the ischemic animal models. Therefore, the current study aims to investigate whether Shh could induce the endothelial differentiation of BMSCs both The current study over-expressed Shh in BMSCs by lentivirus transduction. Reverse-transcription quantitative polymerase chain reaction (RT-qPCR) analysis was performed to determine the angiogenic factors in both control BMSCs and Shh over-expressed BMSCs. Immunocytochemistry was also conducted to examine the EC markers. Angiogenesis was determined by Shh expression was increased by about 3,000-fold and 5,000-fold at 3 days-transfection and 7 days-transfection, respectively. Patched 1 (Ptch1), the receptor for Shh, had a two-fold increase after transduction. The angiogenic factors such as hepatocyte growth factor (HGF), angiopoietin-1 (Ang-1), insulin-like growth factor 1 (IGF1) and vascular endothelial growth factor A (VEGF-A) had at least a 1.5-fold increase after transduction. Expression of EC-lineage markers, CD31 and VE-cadherin, on Shh-overexpressed BMSCs were increasingly detected by immunocytostaining. Angiogenesis of BMSCs could be efficiently induced by Shh overexpression in the This study demonstrated that Shh could promote endothelial differentiation of BMSCs via VEGF-D. Show less
no PDF DOI: 10.21037/jtd.2018.09.50
ANGPTL4
Derek Klarin, Scott M Damrauer, Kelly Cho +46 more · 2018 · Nature genetics · Nature · added 2026-04-24
The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 Show more
The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least one blood lipid measurement, including 57,332 black and 24,743 Hispanic participants, we tested up to around 32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total n > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease). Show less
📄 PDF DOI: 10.1038/s41588-018-0222-9
ANGPTL4
Yetao Xu, Yifan Lian, Yuanyuan Zhang +6 more · 2018 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Despite progress in diagnostics and treatment for preeclampsia, it remains the foremost cause of maternal and foetal perinatal morbidity and mortality worldwide. Over recent years, various lines of ev Show more
Despite progress in diagnostics and treatment for preeclampsia, it remains the foremost cause of maternal and foetal perinatal morbidity and mortality worldwide. Over recent years, various lines of evidence have emphasized long non-coding RNAs (lncRNAs) which function as an innovative regulator of biological behaviour, as exemplified by proliferation, apoptosis and metastasis. However, the role of lncRNAs has not been well described in preeclampsia. Here, we identified a lncRNA, PVT1, whose expression was down-regulated in qRT-PCR analyses in severe preeclampsia. The effects of PVT1 on development were studied after suppression and overexpression of PVT1 in HTR-8/SVneo and JEG3 cells. PVT1 knockdown notably inhibited cell proliferation and stimulated cell cycle accumulation and apoptosis. Exogenous PVT1 significantly increased cell proliferation. Based on analysis of RNAseq data, we found that PVT1 could affect the expression of numerous genes, and then investigated the function and regulatory mechanism of PVT1 in trophoblast cells. Further mechanistic analyses implied that the action of PVT1 is moderately attributable to its repression of ANGPTL4 via association with the epigenetic repressor Ezh2. Altogether, our study suggests that PVT1 could play an essential role in preeclampsia progression and probably acts as a latent therapeutic marker; thus, it might be a useful prognostic marker when evaluating new therapies for patients with preeclampsia. Show less
📄 PDF DOI: 10.1111/jcmm.13405
ANGPTL4
Yi Sheng, Hui Ren, Samwel M Limbu +5 more · 2018 · Frontiers in microbiology · Frontiers · added 2026-04-24
Understanding how intestinal microbiota alters energy homeostasis and lipid metabolism is a critical process in energy balance and health. However, the exact role of intestinal microbiota in the regul Show more
Understanding how intestinal microbiota alters energy homeostasis and lipid metabolism is a critical process in energy balance and health. However, the exact role of intestinal microbiota in the regulation of lipid metabolism in fish remains unclear. Here, we used two zebrafish models (germ-free and antibiotics-treated zebrafish) to identify the role of intestinal microbiota in lipid metabolism. Conventional and germ-free zebrafish larvae were fed with egg yolk. Transmission electron microscopy was used to detect the presence of lipid droplets in the intestinal epithelium. The results showed that, microbiota increased lipid accumulation in the intestinal epithelium. The mRNA sequencing technology was used to assess genes expression level. We found majority of the differentially expressed genes were related to lipid metabolism. Due to the limitation of germ-free zebrafish larvae, antibiotics-treated zebrafish were also used to identify the relationship between the gut microbiota and the host lipid metabolism. Oil-red staining showed antibiotics-treated zebrafish had less intestinal lipid accumulation than control group. The mRNA expression of genes related to lipid metabolism in liver and intestine was also quantified by using real-time PCR. The results indicated that Show less
📄 PDF DOI: 10.3389/fmicb.2018.01124
APOA4
L Li, X J Duan, Y Sun +4 more · 2018 · Zhonghua bing li xue za zhi = Chinese journal of pathology · added 2026-04-24
no PDF DOI: 10.3760/cma.j.issn.0529-5807.2018.02.005
APOA4
Jing-Lu Jin, Di Sun, Ye-Xuan Cao +9 more · 2018 · EBioMedicine · Elsevier · added 2026-04-24
Severe hypertriglyceridemia (SHTG, TG ≥5·65 mmol/L), a disease, usually resulting from a combination of genetic and environmental factors, may increase the risk of acute pancreatitis (AP). However, pr Show more
Severe hypertriglyceridemia (SHTG, TG ≥5·65 mmol/L), a disease, usually resulting from a combination of genetic and environmental factors, may increase the risk of acute pancreatitis (AP). However, previous genetic analysis has been limited by lacking of related observation of gene to AP. The expanding genetic sequencing including 15 TG-related genes (LPL, LMF1, APOC2, GPIHBP1, GCKR, ANGPTL3, APOB, APOA1-A4-C3-A5, TRIB1, CETP, APOE, and LIPI) was performed within 103 patients who were diagnosed with primary SHTG and 46 age- and sex-matched normal controls. Rare variants were found in 46 patients and 12 controls. The detection rate of rare variants in SHTG group increased by 19·5% via intensive genetic analysis. Presence of rare variants in LPL, APOA5, five LPL molecular regulating genes and all the sequenced genes were found to be associated with SHTG (p < 0·05). Of noted, patients with history of AP presented higher frequency of rare variants in LPL gene and all the LPL molecular regulating genes (27·8% vs.4·7% and 50·0% vs. 20·0%). The risk scores for SHTG determined by common TG-associated variants were increased in subgroups according to the extent of SHTG when they were compared with that of controls. Finally, patients without rare variants within SHTG group also presented higher risk scores than control group (p < 0·05). Expanding genetic analysis had a higher detection rate of rare variants in patients with SHTG. Rare variants in LPL and its molecular regulating genes could increase the risk of AP among Chinese patients with SHTG. FUND: This work was partially supported by the Capital Health Development Fund (201614035) and CAMS. Major Collaborative Innovation Project (2016-I2M-1-011) awarded to Dr. Jian-Jun Li, MD, PhD. Show less
📄 PDF DOI: 10.1016/j.ebiom.2018.11.001
APOA5
Jianhua Sun, Lizhi Sun, Weijie Chen +3 more · 2018 · Molecular medicine reports · added 2026-04-24
Hypothyroidism is a disease with a genetic component. The present study aimed to identify the potential causative gene mutation in a family with hypothyroidism and to investigate its potential patholo Show more
Hypothyroidism is a disease with a genetic component. The present study aimed to identify the potential causative gene mutation in a family with hypothyroidism and to investigate its potential pathology. DNA was extracted from the affected individual and his parents, maternal aunt and maternal grandmother. Whole exome sequencing was used to examine their exomes. The potential causative genes that may have an autosomal dominant mode of inheritance were selected after variant calling and filtering. Bioinformatics analysis was utilized to predict the deleteriousness of the identified variants, and multiple sequence alignment and conserved protein domain analyses were performed using online software. Finally, Sanger sequencing was used to validate the identified variants. In the present study, a total of 50 variants were screened based on the autosomal dominant mode of inheritance. Two variants, the fatty acid synthase (FASN) and apolipoprotein B receptor (APOBR) genes, were further analyzed, as they were highly associated with hypothyroidism. Genotyping results revealed that two mutations, c.G7192T (p.A2398S) in the FASN gene and c.C1883G (p.T628R) in the APOBR gene, were fully co‑segregated with established hypothyroidism phenotypes in the family. These mutations were located in the conserved α/β‑hydrolase fold and Na+/Ca2+ exchanger superfamily domain of FASN and APOBR, respectively. In conclusion, the present study demonstrated that the FASN c.G7192T and APOBR c.C1883G mutations may be the potential causative variants in this Chinese hypothyroidism pedigree. Show less
📄 PDF DOI: 10.3892/mmr.2018.9499
APOBR
Zijie Su, Jiaxing Song, Zhongyuan Wang +10 more · 2018 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
The tumor promoter 12-
📄 PDF DOI: 10.1073/pnas.1802422115
AXIN1
Xuling Chang, Rajkumar Dorajoo, Ye Sun +11 more · 2018 · Nutrition journal · BioMed Central · added 2026-04-24
Recent genome-wide association studies (GWAS) have identified 97 body-mass index (BMI) associated loci. We aimed to evaluate if dietary intake modifies BMI associations at these loci in the Singapore Show more
Recent genome-wide association studies (GWAS) have identified 97 body-mass index (BMI) associated loci. We aimed to evaluate if dietary intake modifies BMI associations at these loci in the Singapore Chinese population. We utilized GWAS information from six data subsets from two adult Chinese population (N = 7817). Seventy-eight genotyped or imputed index BMI single nucleotide polymorphisms (SNPs) that passed quality control procedures were available in all datasets. Alternative Healthy Eating Index (AHEI)-2010 score and ten nutrient variables were evaluated. Linear regression analyses between z score transformed BMI (Z-BMI) and dietary factors were performed. Interaction analyses were performed by introducing the interaction term (diet x SNP) in the same regression model. Analysis was carried out in each cohort individually and subsequently meta-analyzed using the inverse-variance weighted method. Analyses were also evaluated with a weighted gene-risk score (wGRS) contructed by BMI index SNPs from recent large-scale GWAS studies. Nominal associations between Z-BMI and AHEI-2010 and some dietary factors were identified (P = 0.047-0.010). The BMI wGRS was robustly associated with Z-BMI (P = 1.55 × 10 The CCDC171 gene locus may interact with cholesterol intake to increase BMI in the Singaporean Chinese population, however most known obesity risk loci were not associated with dietary intake and did not interact with diet to modify BMI levels. Show less
📄 PDF DOI: 10.1186/s12937-018-0340-3
CCDC171
Yun Liao, Gu-Feng Xu, Ying Jiang +4 more · 2018 · Medicine · added 2026-04-24
Gestational diabetes mellitus (GDM) increases many health risks in offspring. The study aims to investigate the underlying mechanism in fetal risk of GDM.We collected maternal peripheral plasma and um Show more
Gestational diabetes mellitus (GDM) increases many health risks in offspring. The study aims to investigate the underlying mechanism in fetal risk of GDM.We collected maternal peripheral plasma and umbilical venous plasma samples from 4 GDM and 4 control patients during their delivery at a university-based women's hospital. An isobaric tag for relative and absolute quantitation-labeled proteomics analysis was performed. The enzyme-linked immunosorbent assay was used to confirm the change of cholesteryl ester transfer protein (CETP). Bioinformatic analysis was performed with Ingenuity Pathway Analysis (IPA) software package.We identified 19 up-regulated proteins and 15 down-regulated proteins in GDM peripheral plasma, 29 up-regulated proteins and 69 down-regulated proteins in GDM umbilical venous plasma. CETP concentration was significantly lower in both GDM peripheral plasma and umbilical venous plasma. Upstream regulator analysis predicted follicle-stimulating hormone (FSH) as the activated regulator of differentially expressed proteins.The protein profiles in both GDM peripheral plasma and umbilical venous plasma between normal and GDM patients were significantly different. The results indicated that CETP and FSH might associates with health problem of GDM offspring. Show less
📄 PDF DOI: 10.1097/MD.0000000000012232
CETP
Wenyan Fu, Hefen Sun, Yang Zhao +4 more · 2018 · Molecular immunology · Elsevier · added 2026-04-24
The overexpression of EGFR often occurs in TNBC, and the anti-EGFR receptor antibody cetuximab is used widely to treat metastatic cancer in the clinic. However, EGFR-targeted therapies have been devel Show more
The overexpression of EGFR often occurs in TNBC, and the anti-EGFR receptor antibody cetuximab is used widely to treat metastatic cancer in the clinic. However, EGFR-targeted therapies have been developed for TNBC without clinical success. In this study, we show that impaired EGFR degradation is crucial for resistance to cetuximab, which depends on the cell surface molecule CD44. To further investigate the role of CD44 in EGFR signaling and its treatment potential, we developed a targeting fusion protein composed of an anti-EGFR scFv generated from cetuximab and truncated protamine, called Ce-tP. CD44 siRNA can be specifically delivered into EGFR-positive TNBC cells by Ce-tP. Efficient knockdown of CD44 and suppression of both EGFR and downstream signaling by the Ce-tP/siRNA complex were observed in EGFR-positive TNBC cells. More importantly, our results also showed that targeted delivery of siRNA specific for CD44 can efficiently overcome resistance to EGFR targeting in TNBC cells both in vitro and in vivo. Overall, our results establish a new principle to achieve EGFR inhibition in TNBC and limit drug resistance. Show less
no PDF DOI: 10.1016/j.molimm.2018.05.010
CETP
Chongjia Yan, Song Wang, Jian Wang +6 more · 2018 · Microbiological research · Elsevier · added 2026-04-24
Clioquinol (CQ) has been used as a classical antimicrobial agent for many years. However, its mode of action is still unclear. In our study, the growth of Candida albicans and Saccharomyces cerevisiae Show more
Clioquinol (CQ) has been used as a classical antimicrobial agent for many years. However, its mode of action is still unclear. In our study, the growth of Candida albicans and Saccharomyces cerevisiae was inhibited by CQ. It did not kill yeast cells, but shortened G1 phase and arrested cell cycle at G2/M phase. By using two-dimensional electrophoresis based proteomic approach, six proteins were found to be significantly affected by CQ. Among them, four (PDC1, ADH1, TDH3, IPP1) were up-regulated and the other two (TDH1 and PGK1) were down-regulated. According to the Saccharomyces Genome Database (SGD), these proteins were involved in various biological processes including glycolytic fermentation, gluconeogenesis, glycolytic process, amino acid catabolism, redox reaction and reactive oxygen species metabolic process. It was noted that there was a link between TDH3 and cell cycle. The overexpression of TDH3 phenocopied CQ treatment and arrested the cell cycle at G2/M phase. RT-PCR analysis showed that the mRNA levels of CLN3 and CDC28, critical genes for passage through G1 phase, were up-regulated after the treatment of CQ as well as the overexpression of TDH3. It demonstrates that CQ inhibits the growth of yeast by up-regulating the expression of TDH3 to influence the cell cycle. It is expected to provide new insights for the antimicrobial mechanism of CQ. Show less
no PDF DOI: 10.1016/j.micres.2018.05.006
CLN3
Xihui Chen, Lijuan Yuan, Mao Sun +2 more · 2018 · Journal of clinical laboratory analysis · Wiley · added 2026-04-24
Carbamoyl phosphate synthetase 1 deficiency (CPS1D) is a rare autosomal recessive disorder of the urea cycle, mostly characterized by hyperammonemia and the concomitant leukodystrophy. The onset of CP Show more
Carbamoyl phosphate synthetase 1 deficiency (CPS1D) is a rare autosomal recessive disorder of the urea cycle, mostly characterized by hyperammonemia and the concomitant leukodystrophy. The onset of CPS1D can be at any age, and the clinical manifestations are variable and atypical. Genetic tests are indispensable for accurate diagnosis of CPS1D on the basis of biochemical tests. Blood tandem mass spectrometric analysis and urea organic acidemia screening were performed on a Chinese neonatal patient with low activity, recurrent seizures, and hyperammonemia. Next-generation sequencing and Sanger sequencing were followed up for making a definite diagnosis. Bioinformatics tools were used for the conservation analysis and pathogenicity predictions of the identified mutations. Increased lactate in urea and decreased citrulline in blood were detected in the patient. Two novel mutations (c.173G>T, p.G58V in exon 2 and c.796G>A, p.G266R in exon 8) in CPS1 identified in the neonatal patient were found through coseparation verification. Both of the two mutations were predicted to be deleterious, and the two relevant amino acids exerted highly evolutionarily conserved. The final diagnosis of the patient was compound heterozygous CPS1D. This study described the specific clinical characteristics and the variations of physiological and biochemical indices in a Chinese neonatal patient with CPS1D, which facilitated the diagnosis and mechanism research of the disease. Two novel causative missense mutations were identified, which enriched the mutation spectrum of CPS1D in China and worldwide. Advice of prenatal diagnosis was given to the family for a new pregnancy. Show less
no PDF DOI: 10.1002/jcla.22375
CPS1
Guoqing Zhang, Yulin Chen, Huiqun Ju +5 more · 2018 · Journal of clinical laboratory analysis · Wiley · added 2026-04-24
Carbamoyl Phosphate Synthetase 1 deficiency (CPS1D) is a rare autosomal recessive inborn metabolic disease characterized mainly by hyperammonemia. The fatal nature of CPS1D and its similar symptoms wi Show more
Carbamoyl Phosphate Synthetase 1 deficiency (CPS1D) is a rare autosomal recessive inborn metabolic disease characterized mainly by hyperammonemia. The fatal nature of CPS1D and its similar symptoms with other urea cycle disorders (UCDs) make its diagnosis difficult, and the molecular diagnosis is hindered due to the large size of the causative gene CPS1. Therefore, the objective of the present study was to investigate the clinical applicability of exome sequencing in molecular diagnosis of CPS1D in Chinese population. We described two Chinese neonates presented with unconsciousness and drowsiness due to deepening encephalopathy with hyperammonemia. Whole exome sequencing was performed. Candidate mutations were validated by Sanger sequencing. In-silicon analysis was processed for the pathogenicity predictions of the identified mutations. Two compound heterozygous mutations in the gene carbamoyl phosphate synthetase 1(CPS1) were identified. One is in Case 1 with two novel missense mutations (c.2537C>T, p. Pro846Leu and c.3443T>A, p.Met1148Lys), and the other one is in Case 2 with a novel missense mutation (c.1799G>A, p.Cys600Tyr) and a previously reported 12-bp deletion (c.4088₄₀₉₉del, p.Leu 1363_Ile1366del). Bioinformatics deleterious predictions indicated pathogenicity of the missense mutations. Conversation analysis and homology modeling showed that the substituted amino acids were highly evolutionary conserved and necessary for enzyme stability or function. The present study initially and successfully applied whole exome sequencing to the molecular diagnosis of CPS1D in Chinese neonates, indicating its applicability in cost-effective molecular diagnosis of CPS1D. Three novel pathogenic missense mutations were identified, expanded the mutational spectrum of the CPS1 gene. Show less
no PDF DOI: 10.1002/jcla.22241
CPS1
Jian-Jun Xie, Yan-Yi Jiang, Yuan Jiang +22 more · 2018 · Gastroenterology · added 2026-04-24
Long non-coding RNAs (lncRNAs) are expressed in tissue-specific pattern, but it is not clear how these are regulated. We aimed to identify squamous cell carcinoma (SCC)-specific lncRNAs and investigat Show more
Long non-coding RNAs (lncRNAs) are expressed in tissue-specific pattern, but it is not clear how these are regulated. We aimed to identify squamous cell carcinoma (SCC)-specific lncRNAs and investigate mechanisms that control their expression and function. We studied expression patterns and functions of 4 SCC-specific lncRNAs. We obtained 113 esophageal SCC (ESCC) and matched non-tumor esophageal tissues from a hospital in Shantou City, China, and performed quantitative reverse transcription polymerase chain reaction assays to measure expression levels of LINC01503. We collected clinical data from patients and compared expression levels with survival times. LINC01503 was knocked down using small interfering RNAs and oligonucleotides in TE7, TE5, and KYSE510 cell lines and overexpressed in KYSE30 cells. Cells were analyzed by chromatin immunoprecipitation sequencing, luciferase reporter assays, colony formation, migration and invasion, and mass spectrometry analyses. Cells were injected into nude mice and growth of xenograft tumors was measured. LINC01503 interaction with proteins was studied using fluorescence in situ hybridization, RNA pulldown, and RNA immunoprecipitation analyses. We identified a lncRNA, LINC01503, which is regulated by a super enhancer and is expressed at significantly higher levels in esophageal and head and neck SCCs than in non-tumor tissues. High levels in SCCs correlated with shorter survival times of patients. The transcription factor TP63 bound to the super enhancer at the LINC01503 locus and activated its transcription. Expression of LINC01503 in ESCC cell lines increased their proliferation, colony formation, migration, and invasion. Knockdown of LINC01503 in SCC cells reduced their proliferation, colony formation, migration, and invasion, and the growth of xenograft tumors in nude mice. Expression of LINC01503 in ESCC cell lines reduced ERK2 dephosphorylation by DUSP6, leading to activation of ERK signaling via MAPK. LINC01503 disrupted the interaction between EBP1 and the p85 subunit of PI3K, increasing AKT signaling. We identified an lncRNA, LINC01503, which is increased in SCC cells compared with non-tumor cells. Increased expression of LINC01503 promotes ESCC cell proliferation, migration, invasion, and growth of xenograft tumors. It might be developed as a biomarker of aggressive SCCs in patients. Show less
no PDF DOI: 10.1053/j.gastro.2018.02.018
DUSP6