šŸ‘¤ Meng Zhao

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Also published as: A N Zhao, Ahui Zhao, Ai Zhao, Aihua Zhao, Aimin Zhao, Andrea Zhao, Andrew J Zhao, Anna Zhao, Aonan Zhao, B Zhao, Bangzhe Zhao, Baolin Zhao, Baosheng Zhao, Baoyu Zhao, Bei Zhao, Bei-Bei Zhao, Beibei Zhao, Beichuan Zhao, Bi Zhao, Bin Zhao, Bing-Qian Zhao, Bingcong Zhao, Binggong Zhao, Binghai Zhao, Bingli Zhao, Bingru Zhao, Bishi Zhao, Bo Zhao, Bo-Wen Zhao, Caifeng Zhao, Caiping Zhao, Caiqi Zhao, Chang Zhao, Changle Zhao, Changqing Zhao, Changsheng Zhao, Changzhi Zhao, Chao Zhao, Chaofen Zhao, Chaoyue Zhao, Chen Zhao, Chen-Guang Zhao, Chen-Liang Zhao, Chen-Xi Zhao, Chenchen Zhao, Cheng Zhao, Cheng-Long Zhao, Chengcheng Zhao, Chengjian Zhao, Chengjun Zhao, Chengrui Zhao, Chengshui Zhao, Chenming Zhao, Chenxu Zhao, Chenye Zhao, Chuan Zhao, Chuan-Zhi Zhao, Chuanqi Zhao, Chun Yu Zhao, Chun-Hui Zhao, Chunjie Zhao, Chunli Zhao, Chunqing Zhao, Chunrong Zhao, Chuntao Zhao, Chunyan Zhao, Chuo Zhao, Cong Zhao, Cuifen Zhao, Cuimei Zhao, Cuiqing Zhao, Cun Zhao, D C Zhao, Dan Zhao, Dandan Zhao, Danping Zhao, Danrui Zhao, Danyang Zhao, Daqing Zhao, Dawang Zhao, Dawen Zhao, Dechang Zhao, Defeng Zhao, Dekuang Zhao, Dengyun Zhao, Deping Zhao, Di Zhao, Dingmeng Zhao, Dingwei Zhao, Dingying Zhao, Dong Zhao, Dong-Dong Zhao, Dongbao Zhao, Dongfeng Zhao, Dongmei Zhao, Dongping Zhao, En-chun Zhao, Ende Zhao, F Zhao, Fan Zhao, Fang Zhao, Fangfang Zhao, Fangjue Zhao, Fangli Zhao, Fangping Zhao, Fangyi Zhao, Fangyu Zhao, Faye Zhao, Fei Zhao, Feibo Zhao, Feipeng Zhao, Feitao Zhao, Feng Zhao, Fengbo Zhao, Fengdi Zhao, Fenghui Zhao, Fengshu Zhao, Fu-Ying Zhao, Fuping Zhao, Fuyu Zhao, Gaichao Zhao, Gang Zhao, Gaofeng Zhao, Ge-Xin Zhao, Gengxiang Zhao, Guang-Hui Zhao, Guangfeng Zhao, Guanghao Zhao, Guanghui Zhao, Guangqiang Zhao, Guangshan Zhao, Guangyuan Zhao, Gui Zhao, Guifang Zhao, Guihu Zhao, Guile Zhao, Guiping Zhao, Guizhen Zhao, Guo-Jun Zhao, Guoqing Zhao, Guorui Zhao, Guozhi Zhao, Haifeng Zhao, Hailing Zhao, Haiquan Zhao, Hairong Zhao, Haixin Zhao, Haiyan Zhao, Haizhou Zhao, Han Zhao, Hanhan Zhao, Hanjun Zhao, Hanqing Zhao, Hao Zhao, Haonan Zhao, Haoyan Zhao, He Zhao, Heng Zhao, Hengxia Zhao, Hong Zhao, Hong-Bo Zhao, Hong-Yang Zhao, Hong-Ye Zhao, Hongbin Zhao, Hongbo Zhao, Hongda Zhao, Hongfeng Zhao, Honghui Zhao, Hongli Zhao, Hongling Zhao, Hongmei Zhao, Hongmeng Zhao, Hongqi Zhao, Hongqing Zhao, Hongwei Zhao, Hongxia Zhao, Hongyan Zhao, Hongyi Zhao, Hongying Zhao, Hongyu Zhao, Houyu Zhao, Hu Zhao, Hua Zhao, Huadong Zhao, Huakan Zhao, Huan Zhao, Huan-Yu Zhao, Huanxin Zhao, Huanyu Zhao, Huaqing Zhao, Huashan Zhao, Huaying Zhao, Hui Zhao, Hui-Hui Zhao, Huihan Zhao, Huiijin Zhao, Huili Zhao, Huilin Zhao, Huiling Zhao, Huishou Zhao, Huiying Zhao, Huiyong Zhao, J H Zhao, J V Zhao, J Zhao, J-F Zhao, Jean J Zhao, Ji Zhao, Ji-Meng Zhao, Ji-jun Zhao, Jia Zhao, Jia-Li Zhao, Jia-Mu Zhao, Jia-Xuan Zhao, Jia-Yi Zhao, Jia-jun Zhao, Jiabin Zhao, Jiajing Zhao, Jiale Zhao, Jialin Zhao, Jian Zhao, Jian-Yuan Zhao, Jian-hua Zhao, Jianan Zhao, Jiang Zhao, Jiangchao Zhao, Jiangpei Zhao, Jianguo Zhao, Jianhong Zhao, Jianhua Zhao, Jianjun Zhao, Jianrong Zhao, Jianwen Zhao, Jianxin Zhao, Jianzhi Zhao, Jiao Zhao, Jiaxuan Zhao, Jichen Zhao, Jie V Zhao, Jie Zhao, Jie-Dong Zhao, Jie-Jun Zhao, Jiexiang Zhao, Jiexiu Zhao, Jieyu Zhao, Jieyun Zhao, Jikai Zhao, Jin Zhao, Jin-Feng Zhao, Jin-Ming Zhao, Jinbo Zhao, Jincun Zhao, Jinfang Zhao, Jing Hau Zhao, Jing Hua Zhao, Jing Zhao, Jing-Cheng Zhao, Jing-Feng Zhao, Jing-Jing Zhao, Jing-Yi Zhao, Jing-Yu Zhao, JingLi Zhao, JingTing Zhao, Jingbo Zhao, Jingjie Zhao, Jingjing Zhao, Jingkun Zhao, Jinglin Zhao, Jingru Zhao, Jingtai Zhao, Jingtong Zhao, Jingya Zhao, Jingyi Zhao, Jingying Zhao, Jingyuan Zhao, Jinjing Zhao, Jinlan Zhao, Jinmin Zhao, Jinpeng Zhao, Jinping Zhao, Jinshan Zhao, Jinsheng Zhao, Jinwen Zhao, Jinyao Zhao, Jiong-Yao Zhao, Jiwei Zhao, Jizong Zhao, Juan Zhao, Juanjuan Zhao, Jue Zhao, Jun Zhao, Jun-Hui Zhao, Junfeng Zhao, Junhong Zhao, Junjie Zhao, Junkang Zhao, Junli Zhao, Junqin Zhao, Junzhang Zhao, Kai Zhao, Kaidong Zhao, Kaihui Zhao, Kaikai Zhao, Kaiyue Zhao, Kake Zhao, Kangqi Zhao, Ke Zhao, Ke-Xin Zhao, Keji Zhao, Keni Zhao, Keqin Zhao, Kewen Zhao, Kun Zhao, L Zhao, Lan Zhao, Lanhua Zhao, Le Zhao, Lei Zhao, Leyang Zhao, Leying Zhao, Li Feng Zhao, Li Zhao, Li-Bo Zhao, Li-Feng Zhao, Li-Hua Zhao, Li-Li Zhao, Li-Mei Zhao, Li-ke Zhao, Lianfang Zhao, Liang Zhao, Liang-gong Zhao, Liangyu Zhao, Lianhua Zhao, Lianmei Zhao, Liansheng Zhao, Lichun Zhao, Lihua Zhao, Lijia Zhao, Lijian Zhao, Lijuan Zhao, Lijun Zhao, Lili Zhao, Limei Zhao, Liming Zhao, Lin Yi Zhao, Lin Zhao, Lina Zhao, Ling Zhao, Ling-Ling Zhao, Lingling Zhao, Lingqiang Zhao, Lingrui Zhao, Linhai Zhao, Linhua Zhao, Linlin Zhao, Liping Zhao, Liqin Zhao, Liwei Zhao, Long Zhao, Longhe Zhao, Lu Zhao, Lujun Zhao, Lun Zhao, Luo-Sha Zhao, Luqi Zhao, Luyao Zhao, M Zhao, Mai Zhao, Mei Zhao, Meifang Zhao, Meiqi Zhao, Mengjia Zhao, Mengjie Zhao, Mengmeng Zhao, Mengshu Zhao, Mengxi Zhao, Mengya Zhao, Michelle Zhao, Min Zhao, Mindi Zhao, Ming Zhao, Ming-Gao Zhao, Ming-Tao Zhao, Mingjing Zhao, Mingjun Zhao, Mingming Zhao, Mingwei Zhao, Mingyue Zhao, Mo Zhao, Moze Zhao, N Zhao, Na Zhao, Na-Na Zhao, Nan Zhao, Ning Zhao, Ningkang Zhao, Pandeng Zhao, Peijun Zhao, Peinan Zhao, Peipei Zhao, Peishen Zhao, Peng Zhao, Pengjun Zhao, Ping Zhao, Pingfan Zhao, Pu Zhao, Qi Zhao, Qian Zhao, Qiancheng Zhao, Qianhua Zhao, Qianjun Zhao, Qianyi Zhao, Qihan Zhao, Qilin Zhao, Qin Zhao, Qin-Shi Zhao, Qinfei Zhao, Qing Zhao, Qing-Chun Zhao, Qing-Li Zhao, Qingbo Zhao, Qingchun Zhao, Qinghe Zhao, Qingqing Zhao, Qingshi Zhao, Qingwen Zhao, Qingzuo Zhao, Qiong Zhao, Qiongxian Zhao, Qiongyi Zhao, Qiqi Zhao, Qitao Zhao, Qiuyue Zhao, Quan Zhao, Quanzhen Zhao, Ran Zhao, Ranran Zhao, Ranzun Zhao, Ren Zhao, Renfeng Zhao, Renjia Zhao, Richard L Zhao, Rong Jie Zhao, Rong Zhao, Rui Zhao, Ruidan Zhao, Ruiqi Zhao, Ruixuan Zhao, Ruizhen Zhao, Runming Zhao, Ruohan Zhao, Ruojin Zhao, Ruxun Zhao, Ruyi Zhao, S H Zhao, S S Zhao, S-P Zhao, Sha Zhao, Shan-Shan Zhao, Shane R Zhao, Shanshan Zhao, Shanzhi Zhao, Shao-Zhen Zhao, Shaorong Zhao, Shaoyang Zhao, Sheng Zhao, Shengguo Zhao, Shengjun Zhao, Shenjun Zhao, Shi Zhao, Shi-Min Zhao, Shigang Zhao, Shihua Zhao, Shiji Zhao, Shimiao Zhao, Shitian Zhao, Shiwei Zhao, Shu-Ning Zhao, Shuai Zhao, Shuang Zhao, Shuang-Qiao Zhao, Shuangshuang Zhao, Shuangxia Zhao, Shuanping Zhao, Shufen Zhao, Shui-ping ZHAO, Shuiping Zhao, Shujuan Zhao, Shuliang Zhao, Shunying Zhao, Shuqiang Zhao, Shuxuan Zhao, Shuyue Zhao, Shuzhen Zhao, Shuzhi Zhao, Si-Jia Zhao, Sihai Zhao, Siqi Zhao, Sitong Zhao, Siyuan Zhao, Song Zhao, Song-Song Zhao, Songchen Zhao, Songping Zhao, Steven Zhao, Suonan Zhao, Suwen Zhao, T C Zhao, Tanjun Zhao, Tian Zhao, Tian-Yu Zhao, Tiancheng Zhao, Tianjing Zhao, Tianna Zhao, Tianyang Zhao, Tianyong Zhao, Tianyu Zhao, Tieqiang Zhao, Tiesuo Zhao, Ting C Zhao, Ting Zhao, Tingrui Zhao, Tingting Zhao, Tong Zhao, Tongfeng Zhao, W S Zhao, W Zhao, W-C Zhao, Wang ZHAO, Wang-Sheng Zhao, Wanglin Zhao, Wangsheng Zhao, Wanni Zhao, Wanqiu Zhao, Wanting Zhao, Wanxin Zhao, Wei Zhao, Wei-Li Zhao, Wei-Qian Zhao, Weichao Zhao, Weifeng Zhao, Weikun Zhao, Weimin Zhao, Weina Zhao, Weipeng Zhao, Weiqi Zhao, Weisong Zhao, Weiwei Zhao, Weixin Zhao, Weiyu Zhao, Weiyue Zhao, Wen Zhao, Wen-Ning Zhao, Wen-qiu Zhao, Wencai Zhao, Wenchen Zhao, Wenhong Zhao, Wenhua Zhao, Wenjing Zhao, Wenjuan Zhao, Wenjun Zhao, Wenming Zhao, Wenpeng Zhao, Wenshan Zhao, Wenshu Zhao, Wensi Zhao, Wenting Zhao, Wenxin Zhao, Wenxu Zhao, Wenye Zhao, Wenyu Zhao, Wenyuan Zhao, Wukui Zhao, X S Zhao, X Zhao, Xi Zhao, Xi-Yu Zhao, Xia Zhao, Xian Zhao, Xiang Zhao, Xiang-Hui Zhao, Xiangdong Zhao, Xiangge Zhao, Xianghu Zhao, Xianglong Zhao, Xiangqin Zhao, Xiao Zhao, Xiao-Fan Zhao, Xiao-Fang Zhao, Xiao-Jie Zhao, Xiao-Jing Zhao, Xiao-Ning Zhao, Xiao-Yu Zhao, XiaoQing Zhao, Xiaodong Zhao, Xiaoduo Zhao, Xiaofang Zhao, Xiaofei Zhao, Xiaoguang Zhao, Xiaohan Zhao, Xiaohang Zhao, Xiaohong Zhao, Xiaohui Zhao, Xiaojun Zhao, Xiaoli Zhao, Xiaoling Zhao, Xiaoming Zhao, Xiaopei Zhao, Xiaopeng Zhao, Xiaoqiang Zhao, Xiaoqin Zhao, Xiaowen Zhao, Xiaoxi Zhao, Xiaoyan Zhao, Xiaoyang Zhao, Xiaoyao Zhao, Xiaoyu Zhao, Xiaoyuan Zhao, Xiaoyun Zhao, Xiaozhi Zhao, Xibao Zhao, Xilin Zhao, Xin Zhao, Xin-Yuan Zhao, Xincheng Zhao, Xing Zhao, Xing-Bo Zhao, Xingang Zhao, Xingbo Zhao, Xingsen Zhao, Xinguo Zhao, Xingwang Zhao, Xingyi Zhao, Xingyu Zhao, Xinhan Zhao, Xinhui Zhao, Xinjie Zhao, Xinlei Zhao, Xinming Zhao, Xinrui Zhao, Xinyang Zhao, Xinying Zhao, Xinyu Zhao, Xinyue Zhao, Xinzhi Zhao, Xipeng Zhao, Xitong Zhao, Xiu-Ju Zhao, Xiujuan Zhao, Xiuli Zhao, Xiumei Zhao, Xiumin Zhao, Xiurong Zhao, Xiutao Zhao, Xiuxin Zhao, Xiuyun Zhao, Xu Zhao, Xu-Zi Zhao, Xuan Zhao, Xudong Zhao, Xue-Li Zhao, Xue-Qiao Zhao, Xueli Zhao, Xueqing Zhao, Xuerong Zhao, Xuesong Zhao, Xueying Zhao, Xuli Zhao, Xunying Zhao, Y U Zhao, Y Z Zhao, Y Zhao, Ya Zhao, Yafei Zhao, Yahui Zhao, Yajie Zhao, Yali Zhao, Yan G Zhao, Yan Ting Zhao, Yan Zhao, Yan-Hong Zhao, Yan-Lin Zhao, Yan-Ni Zhao, Yanan Zhao, Yanbin Zhao, Yandong Zhao, Yanfei Zhao, Yang Zhao, Yangang Zhao, Yangqi Zhao, Yanhong Zhao, Yanhua Zhao, Yanhui Zhao, Yanli Zhao, Yanna Zhao, Yanni Zhao, Yanrong Zhao, Yanxiang Zhao, Yanyan Zhao, Yanyu Zhao, Yao Zhao, Yating Zhao, Yawei Zhao, Ye Zhao, Yeli Zhao, Yi Zhao, Yi-Fan Zhao, Yichao Zhao, Yifan Zhao, Yifang Zhao, Yiheng Zhao, Yijing Zhao, Yijun Zhao, Yikun Zhao, Yilin Zhao, Yiming Zhao, Yimu Zhao, Yin Zhao, Ying Ming Zhao, Ying Xin Zhao, Ying Zhao, Ying-Peng Zhao, Ying-Zheng Zhao, Yingchao Zhao, Yingdong Zhao, Yingmin Zhao, Yingming Zhao, Yingpeng Zhao, Yingqi Zhao, Yingxin Zhao, Yingying Zhao, Yingzheng Zhao, Yinlong Zhao, Yiqiang Zhao, Yisha Zhao, Yiwei Zhao, Yixia Zhao, Yixiu Zhao, Yixuan Zhao, Yixue Zhao, Yiyang Zhao, Yiyi Zhao, Yizhen Zhao, Yong Zhao, Yong-Liang Zhao, Yong-fang Zhao, Yongchao Zhao, Yongfei Zhao, Yongjian Zhao, Yongju Zhao, Yonglin Zhao, Yonglong Zhao, Yongqi Zhao, Yongqin Zhao, Yongting Zhao, Yongxia Zhao, Yongxiang Zhao, Yu Zhao, Yu-Cong Zhao, Yu-Lin Zhao, Yu-Xia Zhao, Yu-pei Zhao, Yuan Zhao, Yuan-Yuan Zhao, Yuanhui Zhao, Yuanji Zhao, Yuanjin Zhao, Yuanyin Zhao, Yuanyuan Zhao, Yuanzhi Zhao, Yubai Zhao, Yubo Zhao, Yuchen Zhao, Yudan Zhao, Yudi Zhao, Yue Zhao, Yue-Chao Zhao, Yuee Zhao, Yuehan Zhao, Yueyang Zhao, Yueying Zhao, Yufan Zhao, Yufei Zhao, Yuhang Zhao, Yuhong Zhao, Yuhui Zhao, Yujiao Zhao, Yujie Zhao, Yukui Zhao, Yulong Zhao, Yun Zhao, Yun-Li Zhao, Yun-Tao Zhao, Yunbo Zhao, Yunchao Zhao, Yunli Zhao, Yunwang Zhao, Yuqi Zhao, Yurong Zhao, Yuru Zhao, Yusen Zhao, Yuting Zhao, Yutong Zhao, Yuwen Zhao, Yuxi Zhao, Yuxia Zhao, Yuxiao Zhao, Yuxin Zhao, Yuyang Zhao, Yuzhen Zhao, Yuzheng Zhao, Z Zhao, Zaixu Zhao, Zanmei Zhao, Ze Hua Zhao, Ze-Hua Zhao, Ze-Run Zhao, Ze-Yu Zhao, Zeng-Ren Zhao, Zengqi Zhao, Zexi Zhao, Zhan Zhao, Zhanzheng Zhao, Zhao Zhao, Zhe Yu Zhao, Zhe Zhao, Zhen Zhao, Zhen-Long Zhao, Zhen-Wang Zhao, Zheng Zhao, Zhengjiang Zhao, Zhengyan Zhao, Zhenhua Zhao, Zhenlin Zhao, Zhensheng Zhao, Zhenyu Zhao, Zhi-Kun Zhao, Zhibo Zhao, Zhichao Zhao, Zhicong Zhao, Zhigang Zhao, Zhihao Zhao, Zhihe Zhao, Zhihui Zhao, Zhijian Zhao, Zhikang Zhao, Zhikun Zhao, Zhiming Zhao, Zhipeng Zhao, Zhiqiang Zhao, Zhiwei Zhao, Zhiying Zhao, Zhiyun Zhao, Zhongming Zhao, Zhongquan Zhao, Zhongxin Zhao, Zhuoyan Zhao, Zifeng Zhao, Zihan Zhao, Zihe Zhao, Zijia Zhao, Zijie Zhao, Zijin Zhao, Ziqi Zhao, Ziqin Zhao, Zirui Zhao, Zitong Zhao, Ziyi Zhao, Ziyu Zhao, Zongjiang Zhao, Zongren Zhao, Zongsheng Zhao, Zuhang Zhao
articles
Sully Fernandez, John M Viola, AnnMarie Torres +9 more Ā· 2019 Ā· Cell reports Ā· Elsevier Ā· added 2026-04-24
Sugars and refined carbohydrates are major components of the modern diet. ATP-citrate lyase (ACLY) isĀ upregulated in adipocytes in response to carbohydrate consumption and generates acetyl-coenzyme A Show more
Sugars and refined carbohydrates are major components of the modern diet. ATP-citrate lyase (ACLY) isĀ upregulated in adipocytes in response to carbohydrate consumption and generates acetyl-coenzyme A (CoA) for both lipid synthesis and acetylation reactions. Here, we investigate the role of ACLY in the metabolic and transcriptional responses to carbohydrates in adipocytes and unexpectedly uncover a sexually dimorphic function in maintaining systemic metabolic homeostasis. When fed a high-sucrose diet, Acly Show less
šŸ“„ PDF DOI: 10.1016/j.celrep.2019.04.112
MLXIPL
Peng Jiang, Yaofei Hu, Yiqi Wang +6 more Ā· 2019 Ā· Frontiers in genetics Ā· Frontiers Ā· 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
Liu Yang, Tie Li, Shuiping Zhao +1 more Ā· 2019 Ā· Molecular medicine reports Ā· added 2026-04-24
Niacin is currently the most effective drug that increases HDL‑C levels. Apolipoprotein M (ApoM) in humans is mainly found in plasma high‑density lipoprotein (HDL). Little is known about the role play Show more
Niacin is currently the most effective drug that increases HDL‑C levels. Apolipoprotein M (ApoM) in humans is mainly found in plasma high‑density lipoprotein (HDL). Little is known about the role played by niacin in ApoM expression. In this study, the effects of niacin on ApoM expression were assessed as well as the associated mechanism. Human liver cancer cell line HepG2 was treated with niacin alone or with liver X receptor‑α (LXRα) inhibitor at multiple concentrations. The mRNA and protein expression of ApoM were assessed by qRT‑PCR and western blotting. Specific LXRα shRNA was transfected into HepG2 cells to further evaluate the regulatory effects of LXRα on ApoM. An inĀ vivo model was also established to investigate the LXRα inhibitor on the mouse ApoM levels. The comparisons among groups were evaluated using one‑way ANOVA and Student‑Newman‑Keuls test. It was revealed that in HepG2 cells, niacin dose‑dependently increased ApoM gene and protein expression levels. Niacin‑induced upregulation of ApoM was attenuated by an LXRα inhibitor or LXRα shRNA, indicating that LXRα mediated this effect. Moreover, niacin treatment resulted in increased LXRα mRNA levels, inĀ vivo and inĀ vitro; niacin treatment resulted in increased ApoM gene and protein expression levels in mice. In conclusion, niacin upregulates ApoM expression by increasing LXRα expression inĀ vivo and inĀ vitro. Show less
no PDF DOI: 10.3892/mmr.2019.10557
NR1H3
Xiong Wang, Huishou Zhao, Wenjun Yan +7 more Ā· 2019 Ā· Biochemical and biophysical research communications Ā· Elsevier Ā· added 2026-04-24
Atherosclerosis is characterized by the accumulation of excess cholesterol in plaques. Reverse cholesterol transport (RCT) plays a key role in the removal of cholesterol. In the present study, we exam Show more
Atherosclerosis is characterized by the accumulation of excess cholesterol in plaques. Reverse cholesterol transport (RCT) plays a key role in the removal of cholesterol. In the present study, we examined the effect of thioredoxin-1 (Trx-1) on RCT and explored the underlying mechanism. We found that Trx-1 promoted RCT inĀ vivo, as did T0901317, a known liver X receptor (LXR) ligand. T0901317 also inhibited the development of atherosclerotic plaques but promoted liver steatosis. Furthermore, Trx-1 promoted macrophage cholesterol efflux to apoAI inĀ vitro. Mechanistically, Trx-1 promoted nuclear translocation of LXRα and induced the expression of ATP-binding cassette transporter A1 (ABCA1). Apolipoprotein E knockout (apoE-/-) mice fed an atherogenic diet were daily injected intraperitoneally with saline or Trx-1 (0.33 mg/kg). Trx-1 treatment significantly inhibited the development of atherosclerosis and induced the expression of ABCA1 in macrophages retrieved from apoE-/- mice. Moreover, the liver steatosis was attenuated by Trx-1. Overall, we demonstrated that Trx-1 promotes RCT by upregulating ABCA1 expression through induction of nuclear translocation of LXRα, and protects liver from steatosis. Show less
no PDF DOI: 10.1016/j.bbrc.2019.06.109
NR1H3
Einar Vargas-Bello-Pérez, Wangsheng Zhao, Massimo Bionaz +2 more · 2019 · Veterinary sciences · MDPI · added 2026-04-24
A prior study in bovine mammary (MACT) cells indicated that long-chain fatty acids (LCFA) C16:0 and C18:0, but not unsaturated LCFA, control transcription of milk fat-related genes partly via the acti Show more
A prior study in bovine mammary (MACT) cells indicated that long-chain fatty acids (LCFA) C16:0 and C18:0, but not unsaturated LCFA, control transcription of milk fat-related genes partly via the activation of peroxisome proliferator-activated receptor gamma (PPARγ). However, in that study, the activation of PPARγ by LCFA was not demonstrated but only inferred. Prior data support a lower response of PPARγ to agonists in goat mammary cells compared to bovine mammary cells. The present study aimed to examine the hypothesis that LCFA alter the mRNA abundance of lipogenic genes in goat mammary epithelial cells (GMEC) at least in part via PPARγ. Triplicate cultures of GMEC were treated with a PPARγ agonist (rosiglitazone), a PPARγ inhibitor (GW9662), several LCFA (C16:0, C18:0, Show less
no PDF DOI: 10.3390/vetsci6020054
NR1H3
Fang Fang, Dawei Li, Lu Zhao +3 more Ā· 2019 Ā· OncoTargets and therapy Ā· added 2026-04-24
Our study aimed to investigate the expression of NR1H3 in endometrial carcinoma, its effect on the proliferation of endometrial carcinoma cells in vitro, and the underlying mechanism of this effect. I Show more
Our study aimed to investigate the expression of NR1H3 in endometrial carcinoma, its effect on the proliferation of endometrial carcinoma cells in vitro, and the underlying mechanism of this effect. Immunohistochemistry of paraffin-embedded, sectioned specimens and of a tissue microarray was conducted to estimate the expression of NR1H3 (liver X receptors α: LXRα) and NR1H2 (liver X receptors β: LXRβ) in endometrial carcinoma tissues. The subcellular localization of NR1H3 in the endometrial carcinoma cell line Ishikawa was determined by immunofluorescence. An agonist of NR1H3, TO901317, was then administered to activate the expression of NR1H3, and cell viability and cell-cycle progression were investigated through MTT and flow cytometric assays, respectively. The gene and protein expression levels of NR1H3, cyclin D1 (CCND1), and cyclin E (CCNE) in cells pretreated with different concentrations of TO901317 for different periods of time were also detected by real-time RT-PCR and Western blot, respectively. The results showed that, in contrast to NR1H2, which was expressed at low levels in endometrial tissues, NR1H3 was upregulated in endometrial adenocarcinoma tissues compared to levels in normal endometrial tissues and endometrial polyps. Moreover, NR1H3 was mainly expressed in the cytoplasm of Ishikawa cells. TO901317 significantly decreased cell viability and arrested the cell cycle in Ishikawa cells in a dose- and time-dependent manner. Furthermore, the administration of TO901317 not only promoted the expression of NR1H3 but also inhibited the expression of CCND1 and CCNE in Ishikawa cells. We demonstrated that NR1H3 is upregulated in endometrial adenocarcinoma and that it inhibits cell viability by inhibiting the expression of CCND1 and CCNE in endometrial carcinoma cells. Our study indicates that NR1H3 may play a role in the development of endometrial cancer and may emerge as a promising therapeutic target. Show less
no PDF DOI: 10.2147/OTT.S180534
NR1H3

Mutations in

Feng Zhao, Jun-Yi Zhu, Adam Richman +13 more Ā· 2019 Ā· Journal of the American Society of Nephrology : JASN Ā· added 2026-04-24
Studies have identified mutations in >50 genes that can lead to monogenic steroid-resistant nephrotic syndrome (SRNS). The We identified We identified two compound-heterozygous Mutations in
no PDF DOI: 10.1681/ASN.2018080786
NUP160
Yuanzhuo Gu, Xiyang Wei, Yulin Sun +12 more Ā· 2019 Ā· Cancer research Ā· 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
Jie Zhao, Jian-Wei Liang, Hui-Liang Xue +8 more Ā· 2019 Ā· Leukemia Ā· Nature Ā· added 2026-04-24
Acute promyelocytic leukemia (APL) is characterized by t(15;17)(q22;q21), resulting in a PML-RARA fusion that is the master driver of APL. A few cases that cannot be identified with PML-RARA by using Show more
Acute promyelocytic leukemia (APL) is characterized by t(15;17)(q22;q21), resulting in a PML-RARA fusion that is the master driver of APL. A few cases that cannot be identified with PML-RARA by using conventional methods (karyotype analysis, FISH, and RT-PCR) involve abnormal promyelocytes that are fully in accordance with APL in morphology, cytochemistry, and immunophenotype. To explore the mechanisms involved in pathogenesis and recurrence of morphologically diagnosed APL, we performed comprehensive variant analysis by next-generation sequencing in 111 pediatric patients morphologically diagnosed as APL. Structural variant (SV) analysis in 120 DNA samples from both diagnosis and relapse stage identified 95 samples with RARA rearrangement (including 94 with PML-RARA and one with NPM-RARA) and two samples with KMT2A rearrangement. In the eligible 13 RNA samples without any RARA rearrangement at diagnosis, one case each with CPSF6-RARG, NPM1-CCDC28A, and TBC1D15-RAB21 and two cases with a TBL1XR1-RARB fusion were discovered. These uncovered fusion genes strongly suggested their contributions to leukemogenesis as driver alternations and APL phenotype may arise by abnormalities of other members of the nuclear receptor superfamily involved in retinoid signaling (RARB or RARG) or even by mechanisms distinct from the formation of aberrant retinoid receptors. Single-nucleotide variant (SNV) analysis in 77 children (80 samples) with RARA rearrangement showed recurrent alternations of primary APL in FLT3, WT1, USP9X, NRAS, and ARID1A, with a strong potential for involvement in pathogenesis, and WT1 as the only recurrently mutated gene in relapsed APL. WT1, NPM1, NRAS, FLT3, and NSD1 were identified as recurrently mutated in 17 primary samples without RARA rearrangement and WT1, NPM1, TP53, and RARA as recurrently mutated in 9 relapsed samples. The survival of APL with RARA rearrangement is much better than without RARA rearrangement. Thus, patients morphologically diagnosed as APL that cannot be identified as having a RARA rearrangement are more reasonably classified as a subclass of AML other than APL, and individualized treatment should be considered according to the genetic abnormalities. Show less
no PDF DOI: 10.1038/s41375-018-0338-z
RAB21
Guanglin Xing, Hongyang Jing, Lei Zhang +9 more Ā· 2019 Ā· eLife Ā· added 2026-04-24
Neuromuscular junction is a synapse between motoneurons and skeletal muscles, where acetylcholine receptors (AChRs) are concentrated to control muscle contraction. Studies of this synapse have contrib Show more
Neuromuscular junction is a synapse between motoneurons and skeletal muscles, where acetylcholine receptors (AChRs) are concentrated to control muscle contraction. Studies of this synapse have contributed to our understanding of synapse assembly and pathological mechanisms of neuromuscular disorders. Nevertheless, underlying mechanisms of NMJ formation was not well understood. To this end, we took a novel approach - studying mutant genes implicated in congenital myasthenic syndrome (CMS). We showed that knock-in mice carrying N88K, a prevalent CMS mutation of Rapsyn (Rapsn), died soon after birth with profound NMJ deficits. Rapsn is an adapter protein that bridges AChRs to the cytoskeleton and possesses E3 ligase activity. In investigating how N88K impairs the NMJ, we uncovered a novel signaling pathway by which Agrin-LRP4-MuSK induces tyrosine phosphorylation of Rapsn, which is required for its self-association and E3 ligase activity. Our results also provide insight into pathological mechanisms of CMS. Show less
no PDF DOI: 10.7554/eLife.49180
RAPSN
L-S Zhang, H-G Ma, F-H Sun +2 more Ā· 2019 Ā· European review for medical and pharmacological sciences Ā· 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 Ā· 2019 Ā· Frontiers in pharmacology Ā· Frontiers Ā· 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
Site Yu, Yeqian Zhang, Qing Li +3 more Ā· 2019 Ā· Cell death & disease Ā· Nature Ā· added 2026-04-24
Claudin6 (CLDN6), a member of the tight junction family, is a molecule involved in intercellular adhesion, acting as a physical barrier that prevents solutes and water from freely passing through the Show more
Claudin6 (CLDN6), a member of the tight junction family, is a molecule involved in intercellular adhesion, acting as a physical barrier that prevents solutes and water from freely passing through the extracellular space. CLDN6 has important biological functions, and its abnormal expression is associated with Hepatitis C infection. However, there is limited research regarding its role in gastric cancer. In this study, we found that the expression of CLDN6 mRNA and protein was upregulated in gastric cancer cell lines and tissues, which indicated poor prognosis. Both in vitro and in vivo experiments showed that abnormal CLDN6 expression was associated with enhanced proliferation and invasion abilities of gastric cancer. CLDN6 reduced the phosphorylation of LATS1/2 and YAP1 by interacting with LATS1/2 in the Hippo signaling pathway. Thus, CLDN6 affected the entry of YAP1 into the nucleus, causing changes in downstream target genes. Moreover, YAP1 interacted with snail1 to affect the process of EMT and enhanced the invasive ability of GC cells. Collectively, CLDN6 promoted the proliferation and invasive ability of gastric cancer by affecting YAP1 and YAP1-snail1 axis. Show less
no PDF DOI: 10.1038/s41419-019-2168-y
SNAI1
Yongli Li, Tengfei Huang, Yun Fu +6 more Ā· 2019 Ā· PloS one Ā· PLOS Ā· 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-ĪŗB/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
Chao Zhao, Lin Zhu, Ruijin Li +2 more Ā· 2019 Ā· Environmental pollution (Barking, Essex : 1987) Ā· Elsevier Ā· added 2026-04-24
Exposure to airborne particulate matter (PM)
no PDF DOI: 10.1016/j.envpol.2018.11.108
SNRPC
Baojin Yao, Mei Zhang, Meixin Liu +5 more Ā· 2019 Ā· Journal of biosciences Ā· 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
Rupal L Shah, Qing Li, Wanting Zhao +41 more Ā· 2018 Ā· Molecular vision Ā· added 2026-04-24
To identify genes and genetic markers associated with corneal astigmatism. A meta-analysis of genome-wide association studies (GWASs) of corneal astigmatism undertaken for 14 European ancestry (n=22,2 Show more
To identify genes and genetic markers associated with corneal astigmatism. A meta-analysis of genome-wide association studies (GWASs) of corneal astigmatism undertaken for 14 European ancestry (n=22,250) and 8 Asian ancestry (n=9,120) cohorts was performed by the Consortium for Refractive Error and Myopia. Cases were defined as having >0.75 diopters of corneal astigmatism. Subsequent gene-based and gene-set analyses of the meta-analyzed results of European ancestry cohorts were performed using VEGAS2 and MAGMA software. Additionally, estimates of single nucleotide polymorphism (SNP)-based heritability for corneal and refractive astigmatism and the spherical equivalent were calculated for Europeans using LD score regression. The meta-analysis of all cohorts identified a genome-wide significant locus near the platelet-derived growth factor receptor alpha ( In addition to replicating a previously identified genome-wide significant locus for corneal astigmatism near the Show less
ACP2
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-HÄkan 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, ZoltÔn 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, PÄl 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 observedĀ 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 BMIĀ 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
šŸ“„ PDF DOI: 10.1038/s41588-017-0011-x
GIPR
Fanwei Meng, Yahui Zhao, Tom Titus +2 more Ā· 2018 Ā· Current zoology Ā· Oxford University Press Ā· added 2026-04-24
The genus
šŸ“„ PDF DOI: 10.1093/cz/zoy005
MC4R
Weiwei Qi, Libin Sun, Ning Liu +3 more Ā· 2018 Ā· Molecular medicine reports Ā· 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 12Ā 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
šŸ“„ PDF DOI: 10.3892/mmr.2018.9360
ADCY3
Hua Yang, Yun Xiang, Kelsy Robinson +4 more Ā· 2018 Ā· Frontiers in microbiology Ā· Frontiers Ā· added 2026-04-24
Different breeds of pigs vary greatly in their propensity for adiposity. Gut microbiota is known to play an important role in modulating host physiology including fat metabolism. However, the relative Show more
Different breeds of pigs vary greatly in their propensity for adiposity. Gut microbiota is known to play an important role in modulating host physiology including fat metabolism. However, the relative contribution of gut microbiota to lipogenic characteristics of pigs remains elusive. In this study, we transplanted fecal microbiota of adult Jinhua and Landrace pigs, two breeds of pigs with distinct lipogenic phenotypes, to antibiotic-treated mice. Our results indicated that, 4 weeks after fecal transplantation, the mice receiving Jinhua pigs' "obese" microbiota (JM) exhibited a different intestinal bacterial community structure from those receiving Landrace pigs' "lean" microbiota (LM). Notably, an elevated ratio of Firmicutes to Bacteroidetes and a significant diminishment of Show less
šŸ“„ PDF DOI: 10.3389/fmicb.2018.03045
ANGPTL4
Jianguo Wang, Xiaoyan Zhu, Guanghui She +5 more Ā· 2018 Ā· BMC veterinary research Ā· BioMed Central Ā· added 2026-04-24
During peripartum period, dairy cows are highly susceptible to energy metabolism disorders such as fatty liver and ketosis. Angiopoietin-like protein 4 (ANGPTL4) and fibroblast growth factor 21 (FGF21 Show more
During peripartum period, dairy cows are highly susceptible to energy metabolism disorders such as fatty liver and ketosis. Angiopoietin-like protein 4 (ANGPTL4) and fibroblast growth factor 21 (FGF21), known as hepatokines, play important roles in lipid metabolism. The purposes of our study were to evaluate variations of serum ANGPTL4 and FGF21 concentrations in periparturient dairy cows and changes in these serum analyte concentrations of energy-related metabolic disorders in early lactation dairy cows. This study was divided into two experiments. Experiment I: Blood parameters were measured in healthy periparturient Holstein cows from 4 wk antepartum to 4 wk postpartum (n = 219). In this experiment, weekly blood samples were obtained from 4 wk before the expected calving date through 4 wk after calving. Experiment II: Blood parameters were measured in healthy cows (n = 30) and cows with clinical ketosis (n = 29) and fatty liver (n = 25) within the first 4 wk of lactation. In the present study, all blood samples were collected from the coccygeal vein in the early morning before feeding. Serum ANGPTL4 and FGF21 concentrations peaked at parturition, and declined rapidly over the following 2 wk Serum ANGPTL4 and FGF21 concentrations were positively correlated with serum non-esterified fatty acids (NEFA) concentration (r = 0.856, P = 003; r = 0.848, P = 0.004, respectively). Cows with clinical ketosis and fatty liver had significantly higher serum ANGPTL4 and FGF21 concentrations than healthy cows (P < 0.01). Serum ANGPTL4 and FGF21 concentrations were elevated during peripartum period, suggesting that energy balance changes that were associated with parturition contributed significantly to these effects. Although FGF21 and ANGPTL4 could play important roles in the adaptation of energy metabolism, they may be involved in the pathological processes of energy metabolism disorders of dairy cows in the peripartum period. Show less
šŸ“„ PDF DOI: 10.1186/s12917-018-1560-7
ANGPTL4
Cai-Guo Yu, Sha-Sha Yuan, Long-Yan Yang +7 more Ā· 2018 Ā· American journal of ophthalmology Ā· Elsevier Ā· added 2026-04-24
To investigate whether angiopoietin-like 3 (ANGPTL3) and angiopoietin-like 4 (ANGPTL4) are differentially associated with the severity of retinopathy in patients with type 2 diabetes mellitus (T2DM). Show more
To investigate whether angiopoietin-like 3 (ANGPTL3) and angiopoietin-like 4 (ANGPTL4) are differentially associated with the severity of retinopathy in patients with type 2 diabetes mellitus (T2DM). Cross-sectional study. Serum levels of ANGPTL3, ANGPTL4, high-sensitivity C-reactive protein (CRP), vascular adhesion molecule-1 (VCAM-1), intracellular adhesion molecule-1 (ICAM-1), and vascular endothelial growth factor (VEGF) were quantified by ELISA. Retinal images were recorded to assess the grade of diabetic retinopathy (DR). Multivariable-adjusted logistic analysis was performed to estimate the association of each biomarker and DR stage. Among 1192 T2DM patients, 426 (35.7%) had nonproliferative diabetic retinopathy (NPDR) and 56 (4.5%) had proliferative diabetic retinopathy (PDR). After adjusting for covariables, the odds ratios expressing the risk of having DR vs no DR (nĀ = 710 vs 482) were 1.23 (95% confidence interval [CI], 1.08-1.40, PĀ = .002) for ANGPTL3; 0.90 (95% CI, 0.79-1.02; PĀ = .095) for ANGPTL4; and 1.14 (95% CI, 1.00-1.29; PĀ = .044) for VEGF. The risk of having no DR vs NPDR (nĀ = 710 vs 426) was 1.16 (95% CI, 1.01-1.32; PĀ = .036) for ANGPTL3; 0.90 (95% CI, 0.79-1.04; PĀ = .15) for ANGPTL4; and 1.14 (95% CI, 1.00-1.31; PĀ = .045) for VEGF. The odds ratios of having NPDR vs PDR (nĀ = 426 vs 56) was 1.47 (95% CI, 1.03-2.10; PĀ = .035) for serum ANGPTL3; 0.96 (95% CI, 0.69-1.35; PĀ = .83) for ANGPTL4; and 1.05 (95% CI, 0.77-1.45; PĀ = .74) for VEGF. ANGPTL3 is independently and strongly associated with DR progression in all stages. Blockade of ANGPTL3 signal in retina might postpone the onset and development of DR in T2DM patients. Show less
no PDF DOI: 10.1016/j.ajo.2018.03.040
ANGPTL4
Jun Morinaga, Jiabin Zhao, Motoyoshi Endo +10 more Ā· 2018 Ā· PloS one Ā· PLOS Ā· added 2026-04-24
Angiopoietin-like proteins (ANGPTLs) 3, 4, and 8 reportedly contribute to progression of metabolic disease, a risk factor for cardiovascular disease (CVD). The purpose of this study was to investigate Show more
Angiopoietin-like proteins (ANGPTLs) 3, 4, and 8 reportedly contribute to progression of metabolic disease, a risk factor for cardiovascular disease (CVD). The purpose of this study was to investigate whether circulating ANGPTL levels are associated with CVD risk after adjustment for potential confounding factors. We conducted a single center, cross-sectional study of 988 Japanese subjects undergoing routine health checks. Serum ANGPTL3, 4, and 8 levels were measured using an enzyme-linked immunosorbent assay. Using multiple regression analysis we evaluated potential association of circulating ANGPTL3, 4, and 8 levels with general medical status including age, sex, smoking, drinking, obesity, hypertension, impaired glycometabolism, dyslipidemia, hyperuricemia, hepatic impairment, chronic kidney disease, anemia, cardiac abnormality, and inflammation. Circulating ANGPTL3 levels were relatively high in health-related categories of hepatic impairment and inflammation. Circulating ANGPTL4 levels were also significantly high in impaired glycometabolism or hepatic impairment but decreased in inflammation. Finally, increased ANGPTL8 levels were observed in obesity, impaired glycometabolism and dyslipidemia. Particularly, increased levels of circulating ANGPTL8 were positively correlated with circulating triglycerides and LDL-cholesterol levels and inversely correlated with circulating HDL-cholesterol levels. Circulating ANGPTL3, 4, and 8 levels reflect some risk factors for CVD development. Show less
šŸ“„ PDF DOI: 10.1371/journal.pone.0193731
ANGPTL4
Qiong Ye, Guo-Ping Tian, Hai-Peng Cheng +17 more Ā· 2018 Ā· Journal of atherosclerosis and thrombosis Ā· added 2026-04-24
Atherosclerosis is the most common cause of cardiovascular disease, such as myocardial infarction and stroke. Previous study revealed that microRNA (miR)-134 promotes lipid accumulation and proinflamm Show more
Atherosclerosis is the most common cause of cardiovascular disease, such as myocardial infarction and stroke. Previous study revealed that microRNA (miR)-134 promotes lipid accumulation and proinflammatory cytokine secretion through angiopoietin-like 4 (ANGPTL4)/lipid lipoprotein (LPL) signaling in THP-1 macrophages. ApoE KO male mice on a C57BL/6 background were fed a high-fat/high-cholesterol Western diet, from 8 to 16 weeks of age. Mice were divided into four groups, and received a tail vein injection of miR-134 agomir, miR-134 antagomir, or one of the corresponding controls, respectively, once every 2 weeks after starting the Western diet. After 8 weeks we measured aortic atherosclerosis, LPL Activity, mRNA and protein levels of ANGPTL4 and LPL, LPL/ low-density lipoprotein receptor related protein 1 Complex Formation, proinflammatory cytokine secretion and lipid levels. Despite this finding, the influence of miR-134 on atherosclerosis in vivo remains to be determined. Using the well-characterized mouse atherosclerosis model of apolipoprotein E knockout, we found that systemic delivery of miR-134 agomir markedly enhanced the atherosclerotic lesion size, together with a significant increase in proinflammatory cytokine secretion and peritoneal macrophages lipid contents. Moreover, overexpression of miR-134 decreased ANGPTL4 expression but increased LPL expression and activity in both aortic tissues and peritoneal macrophages, which was accompanied by increased formation of LPL/low-density lipoprotein receptor-related protein 1 complexes in peritoneal macrophages. However, an opposite effect was observed in response to miR-134 antagomir. These findings suggest that miR-134 accelerates atherogenesis by promoting lipid accumulation and proinflammatory cytokine secretion via the ANGPTL4/LPL pathway. Therefore, targeting miR-134 may offer a promising strategy for the prevention and treatment of atherosclerotic cardiovascular disease. Show less
šŸ“„ PDF DOI: 10.5551/jat.40212
ANGPTL4
Yuanhao Yang, Huiying Zhao, Dorret I Boomsma +16 more Ā· 2018 Ā· European journal of human genetics : EJHG Ā· Nature Ā· added 2026-04-24
Migraine and major depressive disorder (MDD) are common brain disorders that frequently co-occur. Despite epidemiological evidence that migraine and MDD share a genetic basis, their overlap at the mol Show more
Migraine and major depressive disorder (MDD) are common brain disorders that frequently co-occur. Despite epidemiological evidence that migraine and MDD share a genetic basis, their overlap at the molecular genetic level has not been thoroughly investigated. Using single-nucleotide polymorphism (SNP) and gene-based analysis of genome-wide association study (GWAS) genotype data, we found significant genetic overlap across the two disorders. LD Score regression revealed a significant SNP-based heritability for both migraine (h Show less
no PDF DOI: 10.1038/s41431-018-0150-2
ANKDD1B
Likang Lyu, Haishen Wen, Yun Li +5 more Ā· 2018 Ā· Scientific reports Ā· Nature Ā· added 2026-04-24
In the present study, we conducted an RNA-Seq analysis to characterize the genes and pathways involved in acute thermal and cold stress responses in the liver of black rockfish, a viviparous teleost t Show more
In the present study, we conducted an RNA-Seq analysis to characterize the genes and pathways involved in acute thermal and cold stress responses in the liver of black rockfish, a viviparous teleost that has the ability to cope with a wide range of temperature changes. A total of 584 annotated differentially expressed genes (DEGs) were identified in all three comparisons (HT vs NT, HT vs LT and LT vs NT). Based on an enrichment analysis, DEGs with a potential role in stress accommodation were classified into several categories, including protein folding, metabolism, immune response, signal transduction, molecule transport, membrane, and cell proliferation/apoptosis. Considering that thermal stress has a greater effect than cold stress in black rockfish, 24 shared DEGs in the intersection of the HT vs LT and HT vs NT groups were enriched in 2 oxidation-related gene ontology (GO) terms. Nine important heat-stress-reducing pathways were significantly identified and classified into 3 classes: immune and infectious diseases, organismal immune system and endocrine system. Eight DEGs (early growth response protein 1, bile salt export pump, abcb11, hsp70a, rtp3, 1,25-dihydroxyvitamin d(3) 24-hydroxylase, apoa4, transcription factor jun-b-like and an uncharacterized gene) were observed among all three comparisons, strongly implying their potentially important roles in temperature stress responses. Show less
šŸ“„ PDF DOI: 10.1038/s41598-018-27013-z
APOA4
Yonghong Zhang, Zhen Liu, Ranran Liu +6 more Ā· 2018 Ā· Genes Ā· MDPI Ā· added 2026-04-24
Fatty liver is a widespread disease in chickens that causes a decrease in egg production and even death. The characteristics of the inherited phenotype of acquired fatty liver and the molecular mechan Show more
Fatty liver is a widespread disease in chickens that causes a decrease in egg production and even death. The characteristics of the inherited phenotype of acquired fatty liver and the molecular mechanisms underlying it, however, are largely unknown. In the current study, fatty liver was induced in 3 breeds by a high-fat (HF) diet and a methionine choline-deficient (MCD) diet. The results showed that the dwarf Jingxing-Huang (JXH) chicken was more susceptible to fatty liver compared with the layer White Leghorns (WL) and local Beijing-You (BJY) breeds. In addition, it was found that the paternal fatty livers induced by HF diet in JXH chickens were inherited. Compared to birds without fatty liver in the control group, both offsprings and their sires with fatty livers in the paternal group exhibited altered hepatic gene expression profiles, including upregulation of several key genes involved in fatty acid metabolism, lipid metabolism and glucose metabolism ( Show less
šŸ“„ PDF DOI: 10.3390/genes9040199
APOA4
Sumeet A Khetarpal, Paul L Babb, Wei Zhao +4 more Ā· 2018 Ā· Circulation. Genomic and precision medicine Ā· added 2026-04-24
Genome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the ide Show more
Genome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the identified genes is difficult to ascertain from current efforts interrogating common variants with small effects. Thus, there is a pressing need for scalable, cost-effective strategies for uncovering causal variants, many of which may be rare and noncoding. Here, we used a molecular inversion probe target capture approach to resequence both coding and regulatory regions at 7 HDL-C-associated loci in 797 individuals with extremely high HDL-C versus 735 low-to-normal HDL-C controls. Our targets included protein-coding regions of Exome-wide genotyping in 1114 of the 1532 participants yielded a >90% genotyping concordance rate with molecular inversion probe-identified variants in ā‰ˆ90% of participants. This approach rediscovered nearly all established genome-wide association studies associations in Our targeted resequencing of individuals at the HDL-C phenotypic extremes offers a novel, efficient, and cost-effective approach for identifying rare coding and noncoding variation differences in extreme phenotypes and supports the rationale for applying this methodology to uncover rare variation-particularly noncoding variation-underlying myriad complex traits. Show less
šŸ“„ PDF DOI: 10.1161/CIRCGEN.117.002070
APOA5
Si-Wen Gui, Yi-Yun Liu, Xiao-Gang Zhong +9 more Ā· 2018 Ā· Neuropsychiatric disease and treatment Ā· added 2026-04-24
Major depressive disorder (MDD) is a highly prevalent mental disorder affecting millions of people worldwide. However, a clear causative etiology of MDD remains unknown. In this study, we aimed to ide Show more
Major depressive disorder (MDD) is a highly prevalent mental disorder affecting millions of people worldwide. However, a clear causative etiology of MDD remains unknown. In this study, we aimed to identify critical protein alterations in plasma from patients with MDD and integrate our proteomics and previous metabolomics data to reveal significantly perturbed pathways in MDD. An isobaric tag for relative and absolute quantification (iTRAQ)-based quantitative proteomics approach was conducted to compare plasma protein expression between patients with depression and healthy controls (CON). For integrative analysis, Ingenuity Pathway Analysis software was used to analyze proteomics and metabolomics data and identify potential relationships among the differential proteins and metabolites. A total of 74 proteins were significantly changed in patients with depression compared with those in healthy CON. Bioinformatics analysis of differential proteins revealed significant alterations in lipid transport and metabolic function, including apolipoproteins (APOE, APOC4 and APOA5), and the serine protease inhibitor. According to canonical pathway analysis, the top five statistically significant pathways were related to lipid transport, inflammation and immunity. Causal network analysis by integrating differential proteins and metabolites suggested that the disturbance of phospholipid metabolism might promote the inflammation in the central nervous system. Show less
šŸ“„ PDF DOI: 10.2147/NDT.S164134
APOA5