👤 Yin 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, Meng 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, 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
Leping Ye, Binghai Zhao, Guoxin Hu +2 more · 2011 · Toxicology letters · Elsevier · added 2026-04-24
Bisphenol A (BPA) is a potential endocrine disruptor. It has been shown that it reduces serum testosterone level in rodents after exposure. However, the mechanism is unclear. The object of the present Show more
Bisphenol A (BPA) is a potential endocrine disruptor. It has been shown that it reduces serum testosterone level in rodents after exposure. However, the mechanism is unclear. The object of the present study is to investigate the effects of BPA on human and rat steroidogenic enzymes including P450 17α-hydroxylase/17,20-lyase (CYP17A1), 3β-hydroxysteroid dehydrogenase (3β-HSD) and 17β-hydroxysteroid dehydrogenase 3 (17β-HSD3). Human and rat testis microsomes were exposed to various concentrations of BPA (10(-8)-10(-4)M). BPA inhibited human and rat 3β-HSD, CYP17A1 and 17β-HSD3 activities. The half maximal inhibitory concentrations (IC(50)s) of BPA for human and rat testis 3β-HSD were 7.92±1.03 and 26.49±3.03 μM (200 μM pregnenolone), respectively. The IC(50)s for human and rat CYP17A1 (1 μM progesterone) were 18.99±3.75 and 64.67±4.04 μM, respectively. BPA was a weak HSD17B3 inhibitor with IC(50)s of about 100 μM (200 nM androstenedione). BPA also concentration-dependently inhibited testosterone production by rat Leydig cells. In conclusion, BPA is an inhibitor for 3β-HSD, CYP17A1 and 17β-HSD3. Human 3β-HSD and CYP17A1 are more sensitive to BPA than rat 3β-HSD and CYP17A1. Show less
no PDF DOI: 10.1016/j.toxlet.2011.09.001
HSD17B12
G-X Hu, B Zhao, Y Chu +4 more · 2011 · International journal of andrology · Blackwell Publishing · added 2026-04-24
Human and rat testis microsomes were used to investigate direct inhibitory activities of methoxychlor (MXC) and its metabolite 2,2-bis(p-hydroxyphenyl)-1,1,1-trichloroethane (HPTE) on 3β-hydroxysteroi Show more
Human and rat testis microsomes were used to investigate direct inhibitory activities of methoxychlor (MXC) and its metabolite 2,2-bis(p-hydroxyphenyl)-1,1,1-trichloroethane (HPTE) on 3β-hydroxysteroid dehydrogenase (3β-HSD) and 17β-hydroxysteroid dehydrogenase type 3 (17β-HSD3). The 3β-HSD and 17β-HSD3 enzymes are involved in the reactions that culminate in androgen biosynthesis in Leydig cells. The results demonstrated that MXC and HPTE inhibited human 3β-HSD activity at a concentration of 10 nm. The half maximal inhibitory concentration (IC(50) ) for MXC inhibition of 3β-HSD was 53.21 ± 15.52 μm (human) and 46.15 ± 17.94 μm (rat), and for HPTE, it was 8.29 ± 2.49 μm (human) and 13.82 ± 2.26 μm (rat). At the higher concentration of 100 μm, MXC did not affect human and rat 17β-HSD3 activity. However, the IC(50) for HPTE inhibition of 17β-HSD3 was 12.1 ± 1.9 μm (human) and 32 .0 ± 8.6 μm (rat). The mode of action of MXC and HPTE on 3β-HSD activity was non-competitive with the substrate pregnenolone, but was competitive with the cofactor NAD(+) . The mode of HPTE inhibition of 17β-HSD3 was non-competitive with the substrate androstenedione, but was competitive with the cofactor NADPH. In summary, our results showed that HPTE, which is the biologically active metabolite of MXC, has the capacity for direct inhibition of 3β-HSD and 17β-HSD3 enzyme activity. Inhibition of enzyme activity is presumably associated with suppression of steroidogenesis in gonadal tissues and has implications for testis function. Show less
no PDF DOI: 10.1111/j.1365-2605.2010.01065.x
HSD17B12
Jianhua Zhao, Jonathan P Bradfield, Haitao Zhang +11 more · 2011 · Obesity (Silver Spring, Md.) · Nature · added 2026-04-24
Obesity is a serious health concern for children and adolescents, particularly in Western societies, where its incidence is now considered to have reached epidemic proportions. A number of genetic det Show more
Obesity is a serious health concern for children and adolescents, particularly in Western societies, where its incidence is now considered to have reached epidemic proportions. A number of genetic determinants of adult BMI have already been established through genome wide association studies (GWAS), most recently from the GIANT meta-analysis of such datasets combined. In this current study of European Americans, we examined the 32 loci detected in that GIANT study in the context of common childhood obesity within a cohort of 1,097 cases (defined as BMI ≥95th percentile), together with 2,760 lean controls (defined as BMI <50th percentile), aged between 2 and 18 years old. Nine of these single-nucleotide polymorphims (SNPs) yielded at least nominal evidence for association with common childhood obesity, namely at the FTO, TMEM18, NRXN3, MC4R, SEC16B, GNPDA2, TNNI3K, QPCTL, and BDNF loci. However, overall 28 of the 32 loci showed directionally consistent effects to that of the adult BMI meta-analysis. We conclude that among the 32 loci that have been reported to associate with adult BMI in the largest meta-analysis of BMI to date, at least nine also contribute to the determination of common obesity in childhood in European Americans, as demonstrated by their associations in our pediatric cohort. Show less
no PDF DOI: 10.1038/oby.2011.237
NRXN3
Kai Wang, Wei-Dong Li, Clarence K Zhang +6 more · 2011 · PloS one · PLOS · added 2026-04-24
Large-scale genome-wide association studies (GWAS) have identified many loci associated with body mass index (BMI), but few studies focused on obesity as a binary trait. Here we report the results of Show more
Large-scale genome-wide association studies (GWAS) have identified many loci associated with body mass index (BMI), but few studies focused on obesity as a binary trait. Here we report the results of a GWAS and candidate SNP genotyping study of obesity, including extremely obese cases and never overweight controls as well as families segregating extreme obesity and thinness. We first performed a GWAS on 520 cases (BMI>35 kg/m(2)) and 540 control subjects (BMI<25 kg/m(2)), on measures of obesity and obesity-related traits. We subsequently followed up obesity-associated signals by genotyping the top ∼500 SNPs from GWAS in the combined sample of cases, controls and family members totaling 2,256 individuals. For the binary trait of obesity, we found 16 genome-wide significant signals within the FTO gene (strongest signal at rs17817449, P = 2.5 × 10(-12)). We next examined obesity-related quantitative traits (such as total body weight, waist circumference and waist to hip ratio), and detected genome-wide significant signals between waist to hip ratio and NRXN3 (rs11624704, P = 2.67 × 10(-9)), previously associated with body weight and fat distribution. Our study demonstrated how a relatively small sample ascertained through extreme phenotypes can detect genuine associations in a GWAS. Show less
no PDF DOI: 10.1371/journal.pone.0018939
NRXN3
Elizabeth K Speliotes, Cristen J Willer, Sonja I Berndt +374 more · 2010 · Nature genetics · Nature · added 2026-04-24
Elizabeth K Speliotes, Cristen J Willer, Sonja I Berndt, Keri L Monda, Gudmar Thorleifsson, Anne U Jackson, Hana Lango Allen, Cecilia M Lindgren, Jian'an Luan, Reedik Mägi, Joshua C Randall, Sailaja Vedantam, Thomas W Winkler, Lu Qi, Tsegaselassie Workalemahu, Iris M Heid, Valgerdur Steinthorsdottir, Heather M Stringham, Michael N Weedon, Eleanor Wheeler, Andrew R Wood, Teresa Ferreira, Robert J Weyant, Ayellet V Segrè, Karol Estrada, Liming Liang, James Nemesh, Ju-Hyun Park, Stefan Gustafsson, Tuomas O Kilpeläinen, Jian Yang, Nabila Bouatia-Naji, Tõnu Esko, Mary F Feitosa, Zoltán Kutalik, Massimo Mangino, Soumya Raychaudhuri, Andre Scherag, Albert Vernon Smith, Ryan Welch, Jing Hua Zhao, Katja K Aben, Devin M Absher, Najaf Amin, Anna L Dixon, Eva Fisher, Nicole L Glazer, Michael E Goddard, Nancy L Heard-Costa, Volker Hoesel, Jouke-Jan Hottenga, Asa Johansson, Toby Johnson, Shamika Ketkar, Claudia Lamina, Shengxu Li, Miriam F Moffatt, Richard H Myers, Narisu Narisu, John R B Perry, Marjolein J Peters, Michael Preuss, Samuli Ripatti, Fernando Rivadeneira, Camilla Sandholt, Laura J Scott, Nicholas J Timpson, Jonathan P Tyrer, Sophie van Wingerden, Richard M Watanabe, Charles C White, Fredrik Wiklund, Christina Barlassina, Daniel I Chasman, Matthew N Cooper, John-Olov Jansson, Robert W Lawrence, Niina Pellikka, Inga Prokopenko, Jianxin Shi, Elisabeth Thiering, Helene Alavere, Maria T S Alibrandi, Peter Almgren, Alice M Arnold, Thor Aspelund, Larry D Atwood, Beverley Balkau, Anthony J Balmforth, Amanda J Bennett, Yoav Ben-Shlomo, Richard N Bergman, Sven Bergmann, Heike Biebermann, Alexandra I F Blakemore, Tanja Boes, Lori L Bonnycastle, Stefan R Bornstein, Morris J Brown, Thomas A Buchanan, Fabio Busonero, Harry Campbell, Francesco P Cappuccio, Christine Cavalcanti-Proença, Yii-der Ida Chen, Chih-Mei Chen, Peter S Chines, Robert Clarke, Lachlan Coin, John Connell, Ian N M Day, Martin den Heijer, Jubao Duan, Shah Ebrahim, Paul Elliott, Roberto Elosua, Gudny Eiriksdottir, Michael R Erdos, Johan G Eriksson, Maurizio F Facheris, Stephan B Felix, Pamela Fischer-Posovszky, Aaron R Folsom, Nele Friedrich, Nelson B Freimer, Mao Fu, Stefan Gaget, Pablo V Gejman, Eco J C Geus, Christian Gieger, Anette P Gjesing, Anuj Goel, Philippe Goyette, Harald Grallert, Jürgen Grässler, Danielle M Greenawalt, Christopher J Groves, Vilmundur Gudnason, Candace Guiducci, Anna-Liisa Hartikainen, Neelam Hassanali, Alistair S Hall, Aki S Havulinna, Caroline Hayward, Andrew C Heath, Christian Hengstenberg, Andrew A Hicks, Anke Hinney, Albert Hofman, Georg Homuth, Jennie Hui, Wilmar Igl, Carlos Iribarren, Bo Isomaa, Kevin B Jacobs, Ivonne Jarick, Elizabeth Jewell, Ulrich John, Torben Jørgensen, Pekka Jousilahti, Antti Jula, Marika Kaakinen, Eero Kajantie, Lee M Kaplan, Sekar Kathiresan, Johannes Kettunen, Leena Kinnunen, Joshua W Knowles, Ivana Kolcic, Inke R König, Seppo Koskinen, Peter Kovacs, Johanna Kuusisto, Peter Kraft, Kirsti Kvaløy, Jaana Laitinen, Olivier Lantieri, Chiara Lanzani, Lenore J Launer, Cecile Lecoeur, Terho Lehtimäki, Guillaume Lettre, Jianjun Liu, Marja-Liisa Lokki, Mattias Lorentzon, Robert N Luben, Barbara Ludwig, MAGIC, Paolo Manunta, Diana Marek, Michel Marre, Nicholas G Martin, Wendy L McArdle, Anne McCarthy, Barbara McKnight, Thomas Meitinger, Olle Melander, David Meyre, Kristian Midthjell, Grant W Montgomery, Mario A Morken, Andrew P Morris, Rosanda Mulic, Julius S Ngwa, Mari Nelis, Matt J Neville, Dale R Nyholt, Christopher J O'Donnell, Stephen O'Rahilly, Ken K Ong, Ben Oostra, Guillaume Paré, Alex N Parker, Markus Perola, Irene Pichler, Kirsi H Pietiläinen, Carl G P Platou, Ozren Polasek, Anneli Pouta, Suzanne Rafelt, Olli Raitakari, Nigel W Rayner, Martin Ridderstråle, Winfried Rief, Aimo Ruokonen, Neil R Robertson, Peter Rzehak, Veikko Salomaa, Alan R Sanders, Manjinder S Sandhu, Serena Sanna, Jouko Saramies, Markku J Savolainen, Susann Scherag, Sabine Schipf, Stefan Schreiber, Heribert Schunkert, Kaisa Silander, Juha Sinisalo, David S Siscovick, Jan H Smit, Nicole Soranzo, Ulla Sovio, Jonathan Stephens, Ida Surakka, Amy J Swift, Mari-Liis Tammesoo, Jean-Claude Tardif, Maris Teder-Laving, Tanya M Teslovich, John R Thompson, Brian Thomson, Anke Tönjes, Tiinamaija Tuomi, Joyce B J van Meurs, Gert-Jan van Ommen, Vincent Vatin, Jorma Viikari, Sophie Visvikis-Siest, Veronique Vitart, Carla I G Vogel, Benjamin F Voight, Lindsay L Waite, Henri Wallaschofski, G Bragi Walters, Elisabeth Widen, Susanna Wiegand, Sarah H Wild, Gonneke Willemsen, Daniel R Witte, Jacqueline C Witteman, Jianfeng Xu, Qunyuan Zhang, Lina Zgaga, Andreas Ziegler, Paavo Zitting, John P Beilby, I Sadaf Farooqi, Johannes Hebebrand, Heikki V Huikuri, Alan L James, Mika Kähönen, Douglas F Levinson, Fabio Macciardi, Markku S Nieminen, Claes Ohlsson, Lyle J Palmer, Paul M Ridker, Michael Stumvoll, Jacques S Beckmann, Heiner Boeing, Eric Boerwinkle, Dorret I Boomsma, Mark J Caulfield, Stephen J Chanock, Francis S Collins, L Adrienne Cupples, George Davey Smith, Jeanette Erdmann, Philippe Froguel, Henrik Grönberg, Ulf Gyllensten, Per Hall, Torben Hansen, Tamara B Harris, Andrew T Hattersley, Richard B Hayes, Joachim Heinrich, Frank B Hu, Kristian Hveem, Thomas Illig, Marjo-Riitta Jarvelin, Jaakko Kaprio, Fredrik Karpe, Kay-Tee Khaw, Lambertus A Kiemeney, Heiko Krude, Markku Laakso, Debbie A Lawlor, Andres Metspalu, Patricia B Munroe, Willem H Ouwehand, Oluf Pedersen, Brenda W Penninx, Annette Peters, Peter P Pramstaller, Thomas Quertermous, Thomas Reinehr, Aila Rissanen, Igor Rudan, Nilesh J Samani, Peter E H Schwarz, Alan R Shuldiner, Timothy D Spector, Jaakko Tuomilehto, Manuela Uda, André Uitterlinden, Timo T Valle, Martin Wabitsch, Gérard Waeber, Nicholas J Wareham, Hugh Watkins, PROCARDIS Consortium, James F Wilson, Alan F Wright, M Carola Zillikens, Nilanjan Chatterjee, Steven A McCarroll, Shaun Purcell, Eric E Schadt, Peter M Visscher, Themistocles L Assimes, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Leif C Groop, Talin Haritunians, David J Hunter, Robert C Kaplan, Karen L Mohlke, Jeffrey R O'Connell, Leena Peltonen, David Schlessinger, David P Strachan, Cornelia M Van Duijn, H-Erich Wichmann, Timothy M Frayling, Unnur Thorsteinsdottir, Gonçalo R Abecasis, Inês Barroso, Michael Boehnke, Kari Stefansson, Kari E North, Mark I McCarthy, Joel N Hirschhorn, Erik Ingelsson, Ruth J F Loos Show less
Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between bod Show more
Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation. Show less
📄 PDF DOI: 10.1038/ng.686
GIPR
Richa Saxena, Marie-France Hivert, Claudia Langenberg +153 more · 2010 · Nature genetics · Nature · added 2026-04-24
Richa Saxena, Marie-France Hivert, Claudia Langenberg, Toshiko Tanaka, James S Pankow, Peter Vollenweider, Valeriya Lyssenko, Nabila Bouatia-Naji, Josée Dupuis, Anne U Jackson, W H Linda Kao, Man Li, Nicole L Glazer, Alisa K Manning, Jian'an Luan, Heather M Stringham, Inga Prokopenko, Toby Johnson, Niels Grarup, Trine W Boesgaard, Cécile Lecoeur, Peter Shrader, Jeffrey O'Connell, Erik Ingelsson, David J Couper, Kenneth Rice, Kijoung Song, Camilla H Andreasen, Christian Dina, Anna Köttgen, Olivier Le Bacquer, François Pattou, Jalal Taneera, Valgerdur Steinthorsdottir, Denis Rybin, Kristin Ardlie, Michael Sampson, Lu Qi, Mandy van Hoek, Michael N Weedon, Yurii S Aulchenko, Benjamin F Voight, Harald Grallert, Beverley Balkau, Richard N Bergman, Suzette J Bielinski, Amelie Bonnefond, Lori L Bonnycastle, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Thomas A Buchanan, Suzannah J Bumpstead, Christine Cavalcanti-Proença, Guillaume Charpentier, Yii-der Ida Chen, Peter S Chines, Francis S Collins, Marilyn Cornelis, Gabriel J Crawford, Jerome Delplanque, Alex Doney, Josephine M Egan, Michael R Erdos, Mathieu Firmann, Nita G Forouhi, Caroline S Fox, Mark O Goodarzi, Jürgen Graessler, Aroon Hingorani, Bo Isomaa, Torben Jørgensen, Mika Kivimaki, Peter Kovacs, Knut Krohn, Meena Kumari, Torsten Lauritzen, Claire Lévy-Marchal, Vladimir Mayor, Jarred B McAteer, David Meyre, Braxton D Mitchell, Karen L Mohlke, Mario A Morken, Narisu Narisu, Colin N A Palmer, Ruth Pakyz, Laura Pascoe, Felicity Payne, Daniel Pearson, Wolfgang Rathmann, Annelli Sandbaek, Avan Aihie Sayer, Laura J Scott, Stephen J Sharp, Eric Sijbrands, Andrew Singleton, David S Siscovick, Nicholas L Smith, Thomas Sparsø, Amy J Swift, Holly Syddall, Gudmar Thorleifsson, Anke Tönjes, Tiinamaija Tuomi, Jaakko Tuomilehto, Timo T Valle, Gérard Waeber, Andrew Walley, Dawn M Waterworth, Eleftheria Zeggini, Jing Hua Zhao, GIANT Consortium, MAGIC Investigators, Thomas Illig, H Erich Wichmann, James F Wilson, Cornelia van Duijn, Frank B Hu, Andrew D Morris, Timothy M Frayling, Andrew T Hattersley, Unnur Thorsteinsdottir, Kari Stefansson, Peter Nilsson, Ann-Christine Syvänen, Alan R Shuldiner, Mark Walker, Stefan R Bornstein, Peter Schwarz, Gordon H Williams, David M Nathan, Johanna Kuusisto, Markku Laakso, Cyrus Cooper, Michael Marmot, Luigi Ferrucci, Vincent Mooser, Michael Stumvoll, Ruth J F Loos, David Altshuler, Bruce M Psaty, Jerome I Rotter, Eric Boerwinkle, Torben Hansen, Oluf Pedersen, Jose C Florez, Mark I McCarthy, Michael Boehnke, Inês Barroso, Robert Sladek, Philippe Froguel, James B Meigs, Leif Groop, Nicholas J Wareham, Richard M Watanabe Show less
Glucose levels 2 h after an oral glucose challenge are a clinical measure of glucose tolerance used in the diagnosis of type 2 diabetes. We report a meta-analysis of nine genome-wide association studi Show more
Glucose levels 2 h after an oral glucose challenge are a clinical measure of glucose tolerance used in the diagnosis of type 2 diabetes. We report a meta-analysis of nine genome-wide association studies (n = 15,234 nondiabetic individuals) and a follow-up of 29 independent loci (n = 6,958-30,620). We identify variants at the GIPR locus associated with 2-h glucose level (rs10423928, beta (s.e.m.) = 0.09 (0.01) mmol/l per A allele, P = 2.0 x 10(-15)). The GIPR A-allele carriers also showed decreased insulin secretion (n = 22,492; insulinogenic index, P = 1.0 x 10(-17); ratio of insulin to glucose area under the curve, P = 1.3 x 10(-16)) and diminished incretin effect (n = 804; P = 4.3 x 10(-4)). We also identified variants at ADCY5 (rs2877716, P = 4.2 x 10(-16)), VPS13C (rs17271305, P = 4.1 x 10(-8)), GCKR (rs1260326, P = 7.1 x 10(-11)) and TCF7L2 (rs7903146, P = 4.2 x 10(-10)) associated with 2-h glucose. Of the three newly implicated loci (GIPR, ADCY5 and VPS13C), only ADCY5 was found to be associated with type 2 diabetes in collaborating studies (n = 35,869 cases, 89,798 controls, OR = 1.12, 95% CI 1.09-1.15, P = 4.8 x 10(-18)). Show less
📄 PDF DOI: 10.1038/ng.521
GIPR
Tian-wang Li, Ben-rong Zheng, Zhi-xiang Huang +6 more · 2010 · Chinese medical journal · added 2026-04-24
Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic inflammation at the synovial membrane. Although great progress has been made recently in exploring the etiology and pathogen Show more
Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic inflammation at the synovial membrane. Although great progress has been made recently in exploring the etiology and pathogenesis of RA, its molecular pathological mechanism remains to be further defined and it is still a great challenge in determining the diagnosis and in choosing the appropriate therapy in early patients. This study was performed to screen candidate RA-associated serum proteins by comparative proteomics to provide research clues to early diagnosis and treatment of RA. Sera isolated from 6 RA patients and 6 healthy volunteers were pooled respectively and high-abundance proteins were depleted by Plasma 7 Multiple Affinity Removal System. The protein expression profiles between the two groups were then compared by two-dimensional gel electrophoresis (2-DE) and the proteins over/under-expressed by more than 3-fold were identified by mass spectrometry analysis. To validate the differential expression levels of the identified proteins between the two groups, ELISA was performed in two of the identified proteins in individual sera from 32 RA patients and 32 volunteers. Eight proteins which over/under-expressed in sera of RA patients were identified. Among them, chain A of transthyretin (TTR) was under-expressed, while serum amyloid A protein, apolipoprotein A (ApoA)-IV, ApoA-IV precursor, haptoglobin 2, ceruloplasmin (Cp), immunoglobulin superfamily 22 and HT016 were over-expressed. ELISA test confirmed that Cp expressed remarkably higher while TTR obviously lower in RA group compared with volunteer group. There were 8 identified proteins differentially expressed between RA group and volunteer group, which might be candidate RA-associated proteins and might be promising diagnostic indicators or therapeutic targets for RA. Show less
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APOA4
Xian-sheng HUANG, Shui-ping ZHAO, Lin BAI +3 more · 2010 · Zhonghua xin xue guan bing za zhi · added 2026-04-24
to explore the potential role of apolipoprotein A5 (apoA5) on the hypertriglyceridemia (HTG)-lowering effects of statin. twenty-four Sprague-Dawley rats were randomized into 3 groups: (1) control grou Show more
to explore the potential role of apolipoprotein A5 (apoA5) on the hypertriglyceridemia (HTG)-lowering effects of statin. twenty-four Sprague-Dawley rats were randomized into 3 groups: (1) control group (n = 8), with no special treatment; (2) HTG group (n = 8), treated with 10% fructose water for 6 weeks; (3) statin group (n = 8), treated with 10% fructose water for 2 weeks and cotreated with atorvastatin 10 mg×kg(-1)×d(-1) for another 4 weeks. Body weight, fasting plasma lipids and the hepatic expressions of apoA5 and peroxisome proliferator activated receptor (PPAR)α were determined. In separate in vitro experiments, we tested the effects of atorvastatin on TG and the expressions of apoA5 and PPARα in HepG2 cells. (1) at 6 weeks, plasma TG was higher in rats in HTG group than in controls, which was significantly reduced in statin group (both P < 0.05). (2) Rat hepatic apoA5 expression in HTG group was significantly lower than in control group and was significantly higher in statin group than in HTG group (both P < 0.05). (3) Similarly, rat PPARα mRNA expression in HTG group was lower than in control group and was higher in statin group than in HTG group (both P < 0.05). (4) Statin significantly upregulated the expressions of apoA5 and PPARα and decreased TG in HepG2 cells. The above effects induced by statin was blocked in the presence of PPARα inhibitor. upregulation of apoA5 expression contributes to TG lowering effect of statin via PPARα signaling pathway. Show less
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APOA5
Dawn M Waterworth, Sally L Ricketts, Kijoung Song +64 more · 2010 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Genetic studies might provide new insights into the biological mechanisms underlying lipid metabolism and risk of CAD. We therefore conducted a genome-wide association study to identify novel genetic Show more
Genetic studies might provide new insights into the biological mechanisms underlying lipid metabolism and risk of CAD. We therefore conducted a genome-wide association study to identify novel genetic determinants of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides. We combined genome-wide association data from 8 studies, comprising up to 17 723 participants with information on circulating lipid concentrations. We did independent replication studies in up to 37 774 participants from 8 populations and also in a population of Indian Asian descent. We also assessed the association between single-nucleotide polymorphisms (SNPs) at lipid loci and risk of CAD in up to 9 633 cases and 38 684 controls. We identified 4 novel genetic loci that showed reproducible associations with lipids (probability values, 1.6×10(-8) to 3.1×10(-10)). These include a potentially functional SNP in the SLC39A8 gene for HDL-C, an SNP near the MYLIP/GMPR and PPP1R3B genes for LDL-C, and at the AFF1 gene for triglycerides. SNPs showing strong statistical association with 1 or more lipid traits at the CELSR2, APOB, APOE-C1-C4-C2 cluster, LPL, ZNF259-APOA5-A4-C3-A1 cluster and TRIB1 loci were also associated with CAD risk (probability values, 1.1×10(-3) to 1.2×10(-9)). We have identified 4 novel loci associated with circulating lipids. We also show that in addition to those that are largely associated with LDL-C, genetic loci mainly associated with circulating triglycerides and HDL-C are also associated with risk of CAD. These findings potentially provide new insights into the biological mechanisms underlying lipid metabolism and CAD risk. Show less
📄 PDF DOI: 10.1161/ATVBAHA.109.201020
APOA5
Tongfeng Zhao, Jiangpei Zhao · 2010 · BMC medical genetics · BioMed Central · added 2026-04-24
Studies examining the association of apolipoprotein A5 (APOA5) gene -1131 T>C polymorphism with blood lipids produced inconsistent results. In this meta-analysis encompassing all the relevant studies, Show more
Studies examining the association of apolipoprotein A5 (APOA5) gene -1131 T>C polymorphism with blood lipids produced inconsistent results. In this meta-analysis encompassing all the relevant studies, we aimed to investigate the association of the -1131 T>C polymorphism with fasting blood lipids. We limited our analysis to the following four blood lipid variables: total cholesterol (TC), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Subjects were confined to adults who were at least 18 years old. A dominant model was used for this meta-analysis. 37 studies with 37859 subjects were included in this meta-analysis. The results showed that the carriers of -1131C allele have higher blood TC and TG than the non-carriers: standardized mean difference (SMD) = 0.08, 95% confidence interval (CI, 0.05, 0.11), P < 0.00001, P(heterogeneity) = 0.42, and SMD = 0.31, 95% CI (0.27, 0.34), P < 0.00001, P(heterogeneity) = 0.0003, respectively. Significant association between the -1131 T>C polymorphism and lower blood HDL-C was also detected under the dominant model: SMD = -0.17, 95% CI (-0.21, -0.14), P < 0.00001, P(heterogeneity) = 0.003. Our meta-analysis supports the strong association of the APOA5 -1131 T>C polymorphism with higher levels of TC and TG, and lower levels of HDL-C. Show less
📄 PDF DOI: 10.1186/1471-2350-11-120
APOA5
Xian-sheng HUANG, Shui-ping ZHAO, Min HU +3 more · 2010 · Atherosclerosis · Elsevier · added 2026-04-24
Hypertriglyceridemia is associated insulin resistance in obese people. Recently identified apolipoprotein A5 (apoA5) is involved in triglyceride (TG) metabolism. This study was to investigate the role Show more
Hypertriglyceridemia is associated insulin resistance in obese people. Recently identified apolipoprotein A5 (apoA5) is involved in triglyceride (TG) metabolism. This study was to investigate the role of apoA5 in insulin resistance-related hypertriglyceridemia in obesity. 682 participants including 340 non-obese individuals and 342 obese individuals were recruited in this study. Plasma apoA5 levels were measured. The insulin resistance in participants was assessed by homeostasis model assessment of insulin resistance (HOMA-IR). An insulin resistant and hypertriglyceridemic rat model was established by high-fructose diet with obese Zucker rats as positive controls. Besides, two insulin resistant models in vitro were induced by insulin and tumor necrosis factor-alpha (TNFalpha) in HepG2 cells. Obese participants had lower plasma apoA5 levels. Plasma apoA5 levels were inversely correlated with TG, body mass index and HOMA-IR in humans. Furthermore, hepatic and plasma apoA5 reduced in fructose-fed rats whereas no significant changes of apoA5 were observed in obese Zucker rats. In addition, treatment of HepG2 cells with insulin and TNFalpha decreased apoA5 expression and increased TG content. Thus, decreased apolipoprotein A5 is implicated in insulin resistance-related hypertriglyceridemia in obesity. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2009.12.004
APOA5
Meenakshi Sundaram, Shumei Zhong, Maroun Bou Khalil +8 more · 2010 · Journal of lipid research · added 2026-04-24
We have shown that expression of apolipoprotein (apo) C-III promotes VLDL secretion from transfected McA-RH7777 cells under lipid-rich conditions. To determine structural elements within apoC-III that Show more
We have shown that expression of apolipoprotein (apo) C-III promotes VLDL secretion from transfected McA-RH7777 cells under lipid-rich conditions. To determine structural elements within apoC-III that confer to this function, we contrasted wild-type apoC-III with a mutant Ala23Thr originally identified in hypotriglyceridemia subjects. Although synthesis of [(3)H]glycerol-labeled TAG was comparable between cells expressing wild-type apoC-III (C3wt cells) or Ala23Thr mutant (C3AT cells), secretion of [(3)H]TAG from C3AT cells was markedly decreased. The lowered [(3)H]TAG secretion was associated with an inability of C3AT cells to assemble VLDL(1). Moreover, [(3)H]TAG within the microsomal lumen in C3AT cells was 60% higher than that in C3wt cells, yet the activity of microsomal triglyceride-transfer protein in C3AT cells was not elevated. The accumulated [(3)H]TAG in C3AT microsomal lumen was mainly associated with lumenal IDL/LDL-like lipoproteins. Phenotypically, this [(3)H]TAG fractionation profiling resembled what was observed in cells treated with brefeldin A, which at low dose specifically blocked the second-step VLDL(1) maturation. Furthermore, lumenal [(35)S]Ala23Thr protein accumulated in IDL/LDL fractions and was absent in VLDL fractions in C3AT cells. These results suggest that the presence of Ala23Thr protein in lumenal IDL/LDL particles might prevent effective fusion between lipid droplets and VLDL precursors. Thus, the current study reveals an important structural element residing within the N-terminal region of apoC-III that governs the second step VLDL(1) maturation. Show less
no PDF DOI: 10.1194/jlr.M005108
APOC3
M Zhang, J T Xu, X Zhu +5 more · 2010 · Neuroscience · Elsevier · added 2026-04-24
It has been reported that N-methyl-D-aspartate receptor (NMDAR)-triggered neurotoxicity is related to excessive Ca(2+) loading and an increase in nitric oxide (NO) concentration. However, the molecula Show more
It has been reported that N-methyl-D-aspartate receptor (NMDAR)-triggered neurotoxicity is related to excessive Ca(2+) loading and an increase in nitric oxide (NO) concentration. However, the molecular mechanisms that underlie these events are not completely understood. NMDARs and neuronal NO synthase each binds to the scaffolding protein postsynaptic density (PSD)-93 through its PDZ domains. In this study, we determined whether PSD-93 plays a critical role in NMDAR/Ca(2+)/NO-mediated neurotoxicity. We found that the targeted disruption of the PSD-93 gene attenuated the neurotoxicity triggered by NMDAR activation, but not by non-NMDAR activation, in cultured mouse cortical neurons. PSD-93 deficiency reduced the amount of NMDAR subunits NR2A and NR2B in synaptosomal fractions from the cortical neurons and significantly prevented NMDA-stimulated increases in cyclic guanosine 3',5'-monophosphate and Ca(2+) loading in the cortical neurons. These findings indicate that PSD-93 deficiency could block NMDAR-triggered neurotoxicity by disrupting the NMDAR-Ca(2+)-NO signaling pathway and reducing expression of synaptic NR2A and NR2B. Since NMDARs, Ca(2+), and NO play a critical role during the development of brain trauma, seizures, and ischemia, the present work suggests that PSD-93 might contribute to molecular mechanisms of neuronal damage in these brain disorders. Show less
📄 PDF DOI: 10.1016/j.neuroscience.2010.01.030
DLG2
Josée Dupuis, Claudia Langenberg, Inga Prokopenko +305 more · 2010 · Nature genetics · Nature · added 2026-04-24
Josée Dupuis, Claudia Langenberg, Inga Prokopenko, Richa Saxena, Nicole Soranzo, Anne U Jackson, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Anna L Gloyn, Cecilia M Lindgren, Reedik Mägi, Andrew P Morris, Joshua Randall, Toby Johnson, Paul Elliott, Denis Rybin, Gudmar Thorleifsson, Valgerdur Steinthorsdottir, Peter Henneman, Harald Grallert, Abbas Dehghan, Jouke Jan Hottenga, Christopher S Franklin, Pau Navarro, Kijoung Song, Anuj Goel, John R B Perry, Josephine M Egan, Taina Lajunen, Niels Grarup, Thomas Sparsø, Alex Doney, Benjamin F Voight, Heather M Stringham, Man Li, Stavroula Kanoni, Peter Shrader, Christine Cavalcanti-Proença, Meena Kumari, Lu Qi, Nicholas J Timpson, Christian Gieger, Carina Zabena, Ghislain Rocheleau, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Felicity Payne, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Kristin Ardlie, Yavuz Ariyurek, Beverley Balkau, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Rafn Benediktsson, Amanda J Bennett, Sven Bergmann, Murielle Bochud, Eric Boerwinkle, Amélie Bonnefond, Lori L Bonnycastle, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Guillaume Charpentier, Yii-der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Marilyn Cornelis, Gabe Crawford, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Christian Dina, Michael R Erdos, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Caroline S Fox, Rune Frants, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Christopher J Groves, Scott Grundy, Rhian Gwilliam, Ulf Gyllensten, Samy Hadjadj, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Neelam Hassanali, Caroline Hayward, Simon C Heath, Serge Hercberg, Christian Herder, Andrew A Hicks, David R Hillman, Aroon D Hingorani, Albert Hofman, Jennie Hui, Joe Hung, Bo Isomaa, Paul R V Johnson, Torben Jørgensen, Antti Jula, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Valeriya Lyssenko, Robert Mahley, Massimo Mangino, Alisa K Manning, María Teresa Martínez-Larrad, Jarred B McAteer, Laura J McCulloch, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Mario A Morken, Sutapa Mukherjee, Silvia Naitza, Narisu Narisu, Matthew J Neville, Ben A Oostra, Marco Orrù, Ruth Pakyz, Colin N A Palmer, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Markus Perola, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Bruce M Psaty, Wolfgang Rathmann, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Michael Roden, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Laura J Scott, Udo Seedorf, Stephen J Sharp, Beverley Shields, Gunnar Sigurethsson, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Toshiko Tanaka, Barbara Thorand, Jean Tichet, Anke Tönjes, Tiinamaija Tuomi, André G Uitterlinden, Ko Willems Van Dijk, Mandy van Hoek, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, G Bragi Walters, Kim L Ward, Hugh Watkins, Michael N Weedon, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Eleftheria Zeggini, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, DIAGRAM Consortium, GIANT Consortium, Global BPgen Consortium, Ingrid B Borecki, Ruth J F Loos, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Andrew T Hattersley, Kaisa Silander, Veikko Salomaa, George Davey Smith, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, George V Dedoussis, Manuel Serrano-Ríos, Andrew D Morris, Lars Lind, Lyle J Palmer, Frank B Hu, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, James S Pankow, Michael J Sampson, Johanna Kuusisto, Markku Laakso, Torben Hansen, Oluf Pedersen, Peter Paul Pramstaller, H Erich Wichmann, Thomas Illig, Igor Rudan, Alan F Wright, Michael Stumvoll, Harry Campbell, James F Wilson, Anders Hamsten on behalf of Procardis Consortium, MAGIC Investigators, Richard N Bergman, Thomas A Buchanan, Francis S Collins, Karen L Mohlke, Jaakko Tuomilehto, Timo T Valle, David Altshuler, Jerome I Rotter, David S Siscovick, Brenda W J H Penninx, Dorret I Boomsma, Panos Deloukas, Timothy D Spector, Timothy M Frayling, Luigi Ferrucci, Augustine Kong, Unnur Thorsteinsdottir, Kari Stefansson, Cornelia M Van Duijn, Yurii S Aulchenko, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Dawn M Waterworth, Peter Vollenweider, Leena Peltonen, Vincent Mooser, Goncalo R Abecasis, Nicholas J Wareham, Robert Sladek, Philippe Froguel, Richard M Watanabe, James B Meigs, Leif Groop, Michael Boehnke, Mark I McCarthy, Jose C Florez, Inês Barroso Show less
Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, Show more
Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes. Show less
📄 PDF DOI: 10.1038/ng.520
FADS1
Binghai Zhao, Yanhui Chu, Dianne O Hardy +2 more · 2010 · The Journal of steroid biochemistry and molecular biology · Elsevier · added 2026-04-24
Perfluorooctane acid (PFOA) is classified as a persistent organic pollutant and as an endocrine disruptor. The mechanism by which PFOA causes reduced testosterone production in males is not known. We Show more
Perfluorooctane acid (PFOA) is classified as a persistent organic pollutant and as an endocrine disruptor. The mechanism by which PFOA causes reduced testosterone production in males is not known. We tested our hypothesis that PFOA interferes with Leydig cell steroidogenic enzymes by measuring its effect on 3beta-hydroxysteroid dehydrogenase (3beta-HSD) and 17beta-hydroxysteroid dehydrogenase 3 (17beta-HSD3) activities in rat testis microsomes and Leydig cells. The IC(50)s of PFOA and mode of inhibition were assayed. PFOA inhibited microsomal 3beta-HSD with an IC(50) of 53.2+/-25.9 microM and 17beta-HSD3 with an IC(50) 17.7+/-6.8 microM. PFOA inhibited intact Leydig cell 3beta-HSD with an IC(50) of 146.1+/-0.9 microM and 17beta-HSD3 with an IC(50) of 194.8+/-1.0 microM. The inhibitions of 3beta-HSD and 17beta-HSD3 by PFOA were competitive for the substrates. In conclusion, PFOA inhibits 3beta-HSD and 17beta-HSD3 in rat Leydig cells. Show less
no PDF DOI: 10.1016/j.jsbmb.2009.09.010
HSD17B12
Li Feng Zhao, Yasumasa Iwasaki, Wang Zhe +6 more · 2010 · Endocrine journal · added 2026-04-24
Both glucocorticoid and insulin are known to have an anabolic effect on lipogenesis. Acetyl-CoA, an intermediate product of glycolysis, is supplied for fatty acid synthesis when carbohydrate intake is Show more
Both glucocorticoid and insulin are known to have an anabolic effect on lipogenesis. Acetyl-CoA, an intermediate product of glycolysis, is supplied for fatty acid synthesis when carbohydrate intake is sufficient. Acetyl-CoA carboxylase (ACC), consisting of two isoenzymes ACC1 and ACC2, mediates the conversion from acetyl-CoA to malonyl-CoA, and thus plays a key role for the regulation of lipogenesis. In this study, we surveyed the effects of glucocorticoid and insulin on the transcriptional activity of the alternative promoters of ACCs (PI-PIII for ACC1, and PI and PII for ACC2) using the HepG2 human hepatocyte cell line in vitro. We also examined the roles of the insulin and/or glucose-regulated transcriptional factor(s) such as SREBP1c, LXRalpha/beta, and ChREBP on each promoter of the ACC genes. We found that both insulin and glucocorticoid had potent positive effects on all the promoters examined, and additive effects of both hormones were recognized in ACC1 PI and ACC2 PI. Furthermore, a representative insulin-responsive transcription factor SREBP1c showed significant stimulatory effects on all the promoters of ACC genes, among which those on ACC1 PIII and ACC2 PI were most prominent. On the other hand, the effect of LXRalpha was rather selective; it showed a marked stimulatory effect only on ACC1 PII. LXRbeta and ChREBP had minimal, if any, effects on some of the promoters. Altogether, our data suggest that insulin and glucocorticoid have positive effects on both ACC1 and ACC2 gene transcription. SREBP1c might be a master regulator of the expression of both genes regardless of the promoter utilized, whereas LXRalpha seems to play a promoter-specific role. Since ACC1 facilitates lipogenesis by stimulating fatty acid synthesis and ACC2 inhibits lipolysis, both insulin and glucocorticoid seem to play an important role in the pathogenesis of obesity and/or hepatic steatosis. Show less
no PDF DOI: 10.1507/endocrj.k09e-298
MLXIPL
Si-guo Chen, Ji Xiao, Xie-hong Liu +9 more · 2010 · Acta pharmacologica Sinica · Nature · added 2026-04-24
To determine the effects and potential mechanisms of ibrolipim on ATP-binding membrane cassette transporter A-1 (ABCA1) and ATP-binding membrane cassette transporter G-1 (ABCG1) expression from human Show more
To determine the effects and potential mechanisms of ibrolipim on ATP-binding membrane cassette transporter A-1 (ABCA1) and ATP-binding membrane cassette transporter G-1 (ABCG1) expression from human macrophage foam cells, which may play a critical role in atherogenesis. Human THP-1 cells pre-incubated with ox-LDL served as foam cell models. Specific mRNA was quantified using real-time RT-PCR and protein expression using Western blotting. Cellular cholesterol handling was studied using cholesterol efflux experiments and high performance liquid chromatography assays. Ibrolipim 5 and 50 μmol/L significantly increased cholesterol efflux from THP-1 macrophage-derived foam cells to apoA-I or HDL. Moreover, it upregulated the expression of ABCA1 and ABCG1. In addition, LXRα was also upregulated by the ibrolipim treatment. In addition, LXRα small interfering RNA completely abolished the promotion effect that was induced by ibrolipim. Ibrolipim increased ABCA1 and ABCG1 expression and promoted cholesterol efflux, which was mediated by the LXRα signaling pathway. Show less
no PDF DOI: 10.1038/aps.2010.166
NR1H3
Malin Hedengran Faulds, Chunyan Zhao, Karin Dahlman-Wright · 2010 · Current opinion in pharmacology · Elsevier · added 2026-04-24
The metabolic syndrome constitutes a group of metabolic conditions that increase the risk of developing diseases, including cardiovascular disease (CVD) and type 2 diabetes (T2D). LXRα/β are regulator Show more
The metabolic syndrome constitutes a group of metabolic conditions that increase the risk of developing diseases, including cardiovascular disease (CVD) and type 2 diabetes (T2D). LXRα/β are regulators of lipogenesis, cholesterol/glucose homoeostasis and inflammatory pathways, processes that are intertwined with development of the metabolic syndrome. The employment of LXRs as pharmaceutical targets for treatment of various aspects of the metabolic syndrome has been promptly investigated but serious side effects, like hepatic steatosis, have hampered this process. Novel treatment regimes now focus on development of isoform-specific or tissue-specific LXR agonist/antagonist compounds to circumvent effects on lipid biosynthesis. Other strategies to explore the beneficial aspects of LXR activation include targeting co-factors or pathways that are modifying LXR activity. Show less
no PDF DOI: 10.1016/j.coph.2010.07.003
NR1H3
Clavia Ruth Wooton-Kee, Donna J Coy, Antony T Athippozhy +3 more · 2010 · Hepatology (Baltimore, Md.) · Wiley · added 2026-04-24
Cholesterol 7alpha-hydroxylase (Cyp7a1) and the bile acid pool size are increased 2 to 3-fold in lactating postpartum rats. We investigated the interaction of nuclear receptors with the Cyp7a1 proxima Show more
Cholesterol 7alpha-hydroxylase (Cyp7a1) and the bile acid pool size are increased 2 to 3-fold in lactating postpartum rats. We investigated the interaction of nuclear receptors with the Cyp7a1 proximal promoter and the expression of regulatory signaling pathways in postpartum rats at day 10 (PPd10) versus female controls to identify the mechanisms of increased expression of Cyp7a1, which is maximal at 16 hours. Liver X receptor (LXRalpha) and RNA polymerase II (RNA Pol II) recruitment to Cyp7a1 chromatin were increased 1.5- and 2.5-fold, respectively, at 16 hours on PPd10. Expression of nuclear receptors farnesoid X receptor (FXR), LXRalpha, liver receptor homolog (LRH-1), hepatocyte nuclear factor 4alpha (HNF4alpha), and short heterodimer partner (SHP) messenger RNA (mRNA) and coactivator peroxisome proliferators-activated receptor gamma coactivator-1alpha (PGC-1alpha) mRNA was unchanged in PPd10 versus controls at 16 hours, whereas chicken ovalbumin upstream transcription factor II (COUP-TFII) was decreased 40% at 16 hours. Investigation of a repressive signaling pathway, the c-Jun-N-terminal kinase (JNK) signaling pathway in PPd10 versus controls, showed decreased mRNA expression of hepatocyte growth factor (HGF; decreased 60% at 16 hours) and tyrosine kinase receptor c-Met (decreased 44%-50% at 16 hours), but these were not accompanied by decreased expression of phosphorylated c-Jun. Importantly, expression of fibroblast growth factor 15 (FGF15) mRNA in the ileum was decreased 70% in PPd10 versus controls, whereas phosphorylated mitogen-activated protein kinase/extracellular signal-regulated kinase 1/2 (Erk1/2) protein expression in liver was decreased 88% at 16 hours. The increased recruitment of LXRalpha, a Cyp7a1 stimulatory pathway, and decreased expression of FGF15 and phosphorylated Erk1/2, a Cyp7a1 repressive pathway, combined to increase Cyp7a1 expression during lactation. Show less
no PDF DOI: 10.1002/hep.23289
NR1H3
Chunyan Zhao, Karin Dahlman-Wright · 2010 · The Journal of endocrinology · added 2026-04-24
The liver X receptors (LXRs) are nuclear receptors that are activated by endogenous oxysterols, oxidized derivatives of cholesterol. There are two isoforms of LXR, LXRalpha (NR1H3) and LXRbeta (NR1H2) Show more
The liver X receptors (LXRs) are nuclear receptors that are activated by endogenous oxysterols, oxidized derivatives of cholesterol. There are two isoforms of LXR, LXRalpha (NR1H3) and LXRbeta (NR1H2). Both LXRalpha and LXRbeta regulate gene expression by binding to DNA sequences associated with target genes as heterodimers with isoforms of the retinoid X receptor (RXR), RXRalpha (NR2B1), RXRbeta (NR2B2), and RXRgamma (NR2B3). LXRs act as cholesterol sensors: when cellular oxysterols accumulate as a result of increasing concentrations of cholesterol, LXR induces the transcription of genes that protect cells from cholesterol overload. In this review, we summarize the roles of LXRs in controlling cholesterol homeostasis, including their roles in bile acid synthesis and metabolism/excretion, reverse cholesterol transport, cholesterol biosynthesis and uptake, and cholesterol absorption/excretion in the intestine. The overlapping and distinct roles of the LXRalpha and LXRbeta isoforms, and the potential use of LXRs as attractive targets for treatment of cardiovascular disease are also discussed. Show less
no PDF DOI: 10.1677/JOE-09-0271
NR1H3
Cathy E Elks, John R B Perry, Patrick Sulem +172 more · 2010 · Nature genetics · Nature · added 2026-04-24
Cathy E Elks, John R B Perry, Patrick Sulem, Daniel I Chasman, Nora Franceschini, Chunyan He, Kathryn L Lunetta, Jenny A Visser, Enda M Byrne, Diana L Cousminer, Daniel F Gudbjartsson, Tõnu Esko, Bjarke Feenstra, Jouke-Jan Hottenga, Daniel L Koller, Zoltán Kutalik, Peng Lin, Massimo Mangino, Mara Marongiu, Patrick F McArdle, Albert V Smith, Lisette Stolk, Sophie H van Wingerden, Jing Hua Zhao, Eva Albrecht, Tanguy Corre, Erik Ingelsson, Caroline Hayward, Patrik K E Magnusson, Erin N Smith, Shelia Ulivi, Nicole M Warrington, Lina Zgaga, Helen Alavere, Najaf Amin, Thor Aspelund, Stefania Bandinelli, Inês Barroso, Gerald S Berenson, Sven Bergmann, Hannah Blackburn, Eric Boerwinkle, Julie E Buring, Fabio Busonero, Harry Campbell, Stephen J Chanock, Wei Chen, Marilyn C Cornelis, David Couper, Andrea D Coviello, Pio d'Adamo, Ulf de Faire, Eco J C de Geus, Panos Deloukas, Angela Döring, George Davey Smith, Douglas F Easton, Gudny Eiriksdottir, Valur Emilsson, Johan Eriksson, Luigi Ferrucci, Aaron R Folsom, Tatiana Foroud, Melissa Garcia, Paolo Gasparini, Frank Geller, Christian Gieger, GIANT Consortium, Vilmundur Gudnason, Per Hall, Susan E Hankinson, Liana Ferreli, Andrew C Heath, Dena G Hernandez, Albert Hofman, Frank B Hu, Thomas Illig, Marjo-Riitta Järvelin, Andrew D Johnson, David Karasik, Kay-Tee Khaw, Douglas P Kiel, Tuomas O Kilpeläinen, Ivana Kolcic, Peter Kraft, Lenore J Launer, Joop S E Laven, Shengxu Li, Jianjun Liu, Daniel Levy, Nicholas G Martin, Wendy L McArdle, Mads Melbye, Vincent Mooser, Jeffrey C Murray, Sarah S Murray, Michael A Nalls, Pau Navarro, Mari Nelis, Andrew R Ness, Kate Northstone, Ben A Oostra, Munro Peacock, Lyle J Palmer, Aarno Palotie, Guillaume Paré, Alex N Parker, Nancy L Pedersen, Leena Peltonen, Craig E Pennell, Paul Pharoah, Ozren Polasek, Andrew S Plump, Anneli Pouta, Eleonora Porcu, Thorunn Rafnar, John P Rice, Susan M Ring, Fernando Rivadeneira, Igor Rudan, Cinzia Sala, Veikko Salomaa, Serena Sanna, David Schlessinger, Nicholas J Schork, Angelo Scuteri, Ayellet V Segrè, Alan R Shuldiner, Nicole Soranzo, Ulla Sovio, Sathanur R Srinivasan, David P Strachan, Mar-Liis Tammesoo, Emmi Tikkanen, Daniela Toniolo, Kim Tsui, Laufey Tryggvadottir, Jonathon Tyrer, Manuela Uda, Rob M Van Dam, Joyce B J van Meurs, Peter Vollenweider, Gerard Waeber, Nicholas J Wareham, Dawn M Waterworth, Michael N Weedon, H Erich Wichmann, Gonneke Willemsen, James F Wilson, Alan F Wright, Lauren Young, Guangju Zhai, Wei Vivian Zhuang, Laura J Bierut, Dorret I Boomsma, Heather A Boyd, Laura Crisponi, Ellen W Demerath, Cornelia M Van Duijn, Michael J Econs, Tamara B Harris, David J Hunter, Ruth J F Loos, Andres Metspalu, Grant W Montgomery, Paul M Ridker, Tim D Spector, Elizabeth A Streeten, Kari Stefansson, Unnur Thorsteinsdottir, André G Uitterlinden, Elisabeth Widen, Joanne M Murabito, Ken K Ong, Anna Murray Show less
To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the Show more
To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing. Show less
no PDF DOI: 10.1038/ng.714
SEC16B
Marcel den Hoed, Ulf Ekelund, Søren Brage +6 more · 2010 · Diabetes · added 2026-04-24
Large-scale genome-wide association (GWA) studies have thus far identified 16 loci incontrovertibly associated with obesity-related traits in adults. We examined associations of variants in these loci Show more
Large-scale genome-wide association (GWA) studies have thus far identified 16 loci incontrovertibly associated with obesity-related traits in adults. We examined associations of variants in these loci with anthropometric traits in children and adolescents. Seventeen variants representing 16 obesity susceptibility loci were genotyped in 1,252 children (mean ± SD age 9.7 ± 0.4 years) and 790 adolescents (15.5 ± 0.5 years) from the European Youth Heart Study (EYHS). We tested for association of individual variants and a genetic predisposition score (GPS-17), calculated by summing the number of effect alleles, with anthropometric traits. For 13 variants, summary statistics for associations with BMI were meta-analyzed with previously reported data (N(total) = 13,071 children and adolescents). In EYHS, 15 variants showed associations or trends with anthropometric traits that were directionally consistent with earlier reports in adults. The meta-analysis showed directionally consistent associations with BMI for all 13 variants, of which 9 were significant (0.033-0.098 SD/allele; P < 0.05). The near-TMEM18 variant had the strongest effect (0.098 SD/allele P = 8.5 × 10(-11)). Effect sizes for BMI tended to be more pronounced in children and adolescents than reported earlier in adults for variants in or near SEC16B, TMEM18, and KCTD15, (0.028-0.035 SD/allele higher) and less pronounced for rs925946 in BDNF (0.028 SD/allele lower). Each additional effect allele in the GPS-17 was associated with an increase of 0.034 SD in BMI (P = 3.6 × 10(-5)), 0.039 SD, in sum of skinfolds (P = 1.7 × 10(-7)), and 0.022 SD in waist circumference (P = 1.7 × 10(-4)), which is comparable with reported results in adults (0.039 SD/allele for BMI and 0.033 SD/allele for waist circumference). Most obesity susceptibility loci identified by GWA studies in adults are already associated with anthropometric traits in children/adolescents. Whereas the association of some variants may differ with age, the cumulative effect size is similar. Show less
no PDF DOI: 10.2337/db10-0370
SEC16B
Meng-Jun Li, Ai-Qin Li, Han Xia +5 more · 2009 · Journal of biosciences · Springer · added 2026-04-24
The cultivated peanut is a valuable source of dietary oil and ranks fifth among the world oil crops. Plant fatty acid biosynthesis is catalysed by type II fatty acid synthase (FAS) in plastids and mit Show more
The cultivated peanut is a valuable source of dietary oil and ranks fifth among the world oil crops. Plant fatty acid biosynthesis is catalysed by type II fatty acid synthase (FAS) in plastids and mitochondria. By constructing a full-length cDNA library derived from immature peanut seeds and homology-based cloning, candidate genes of acyl carrier protein (ACP), malonyl-CoA:ACP transacylase, beta-ketoacyl-ACP synthase (I, II, III), beta-ketoacyl-ACP reductase, beta-hydroxyacyl-ACP dehydrase and enoyl-ACP reductase were isolated. Sequence alignments revealed that primary structures of type II FAS enzymes were highly conserved in higher plants and the catalytic residues were strictly conserved in Escherichia coli and higher plants. Homologue numbers of each type II FAS gene expressing in developing peanut seeds varied from 1 in KASII, KASIII and HD to 5 in ENR. The number of single-nucleotide polymorphisms (SNPs) was quite different in each gene. Peanut type II FAS genes were predicted to target plastids except ACP2 and ACP3. The results suggested that peanut may contain two type II FAS systems in plastids and mitochondria. The type II FAS enzymes in higher plants may have similar functions as those in E. coli. Show less
no PDF DOI: 10.1007/s12038-009-0027-1
ACP2
Hui-Hui Zhao, Na Hou, Wei Wang · 2009 · Zhongguo Zhong xi yi jie he za zhi Zhongguo Zhongxiyi jiehe zazhi = Chinese journal of integrated traditional and Western medicine · added 2026-04-24
To seek the special plasma molecule in unstable angina (UA) patients of qi deficiency and blood stasis syndrome (QDBS) and method for explore the proteomic specificity of the disease. LC-MS(E) analysi Show more
To seek the special plasma molecule in unstable angina (UA) patients of qi deficiency and blood stasis syndrome (QDBS) and method for explore the proteomic specificity of the disease. LC-MS(E) analysis was performed in UA patients of QDBS or non-QDBS and in healthy persons after the 6 proteins with optimal abundance in plasma being removed by polyclonal antibody affinity column (product of Agilent Co. USA). Actin were found only expressed, and FN, ApoH and ANXA6 were found highly expressed in plasma of patients with UA-QDBS, suggesting they might be the special molecules for the disease. Moreover, as compared with health persons, SAA, CP, MYH11 and C6 showed high expression, and the 6 proteins, e.g. A1BG, ApoA4, GSN, HBB, HBD and TF, showed low expression in the plasma of UA-QDBS patients. UA-QDBS might belong to a kind inflammatory reaction. There are simultaneous existence of myocardial injury, blood coagulation factor abnormality, lipid metabolic disorder and oxygen transport obstacle in patients of UA-QDBS, they influence and interact mutually. The newly discovered differential proteins might provide clues for studying or discovering new protein targets of angina relieving drugs. The new technique of label free quantitative proteomics is an efficient method for bio-marker research of diseases and syndromes. Show less
no PDF
APOA4
Xian-sheng HUANG, Shui-ping ZHAO, Qian ZHANG +3 more · 2009 · Zhonghua xin xue guan bing za zhi · added 2026-04-24
To explore the relationship between serum apolipoprotein A5 (ApoA5) and lipid profile or high sensitive C-reactive protein (hs-CRP) in patients with acute coronary syndrome (ACS). Serum apoA5 and hs-C Show more
To explore the relationship between serum apolipoprotein A5 (ApoA5) and lipid profile or high sensitive C-reactive protein (hs-CRP) in patients with acute coronary syndrome (ACS). Serum apoA5 and hs-CRP levels were measured by ELISA and immunoturbidimetry in control subjects (n = 232), patients with stable angina (SA, n = 127), unstable angina (UA, n = 116) and acute myocardial infarction (AMI, n = 112). Triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) were also measured. Compared with controls [(108.7 +/- 23.2) microg/L] and SA patients [(78.3 +/- 20.2) microg/L], serum ApoA5 level was significantly increased in UA [(340.6 +/- 63.5) microg/L] and AMI patients [(373.2 +/- 73.8) microg/L] (all P < 0.05). ApoA5 was positively correlated with TG (r = 0.63 and 0.67, respectively, all P < 0.05) and hs-CRP (r = 0.57 and 0.55, respectively, all P < 0.05) in UA and AMI patients but there were no significant correlations between ApoA5 and TC, HDL-C and LDL-C in ACS patients (all P > 0.05). Increased serum apoA5 level and the positive correlation between ApoA5 and serum TG and hs-CRP in ACS patients might reflect increased inflammation responses in ACS patients. Show less
no PDF
APOA5
Xian-sheng HUANG, Shui-ping ZHAO, Lin BAI +3 more · 2009 · British journal of pharmacology · Blackwell Publishing · added 2026-04-24
Combining statin and fibrate in clinical practice provides a greater reduction of triglycerides than either drug given alone, but the mechanism for this effect is poorly understood. Apolipoprotein AV Show more
Combining statin and fibrate in clinical practice provides a greater reduction of triglycerides than either drug given alone, but the mechanism for this effect is poorly understood. Apolipoprotein AV (apoAV) has been implicated in triglyceride metabolism. This study was designed to investigate the effect of the combination of statin and fibrate on apoAV and the underlying mechanism(s). Hypertriglyceridaemia was induced in rats by giving them 10% fructose in drinking water for 2 weeks. They were then treated with atorvastatin, fenofibrate or the two agents combined for 4 weeks, and plasma triglyceride and apoAV measured. We also tested the effects of these two agents on triglycerides and apoAV in HepG2 cells in culture. Western blot and reverse transcription polymerase chain reaction was used to measure apoAV and peroxisome proliferator-activated receptor-alpha (PPARalpha) expression. The combination of atorvastatin and fenofibrate resulted in a greater decrease in plasma triglycerides and a greater increase in plasma and hepatic apoAV than either agent given alone. Hepatic expression of the PPARalpha was also more extensively up-regulated in rats treated with the combination. A similar, greater increase in apoAV and a greater decrease in triglycerides were observed following treatment of HepG2 cells pre-exposed to fructose), with the combination. Adding an inhibitor of PPARalpha (MK886) abolished the effects of atorvastatin on HepG2 cells. A combination of atorvastatin and fenofibrate increased apoAV and decreased triglycerides through up-regulation of PPARalpha. Show less
no PDF DOI: 10.1111/j.1476-5381.2009.00350.x
APOA5
Xian-sheng HUANG, Shui-ping ZHAO, Qian ZHANG +2 more · 2009 · Chinese medical journal · added 2026-04-24
Increased triglyceride (TG) occurs in patients with acute coronary syndrome (ACS), and apolipoprotein AV (apoAV) has been shown to lower TG levels. In the present study, we investigated plasma apoAV l Show more
Increased triglyceride (TG) occurs in patients with acute coronary syndrome (ACS), and apolipoprotein AV (apoAV) has been shown to lower TG levels. In the present study, we investigated plasma apoAV level and its relationship with TG and C-reactive protein (CRP) in ACS patients. A total of 459 subjects were recruited and categorized into control group (n = 116), stable angina (SA) group (n = 115), unstable angina group (n = 116) and acute myocardial infarction group (n = 112). Plasma apoAV level was measured by a sandwich ELISA assay. Compared with controls ((100.27 +/- 22.44) ng/ml), plasma apoAV was decreased in SA patients ((76.54 +/- 16.91) ng/ml) but increased in patients with unstable angina ((330.89 +/- 66.48) ng/ml, P < 0.05) or acute myocardial infarction ((368.66 +/- 60.53) ng/ml, P < 0.05). Inverse correlations between apoAV and TG were observed in the control or stable angina groups (r = -0.573 or -0.603, respectively, P < 0.001), whereas positive correlations were observed in the patients with unstable angina or acute myocardial infarction (r = 0.696 or 0.690, respectively, P < 0.001). Furthermore, a positive relationship between apoAV and CRP was observed in the ACS patients but not in the non-ACS subjects. The plasma apoAV concentration is increased and positively correlates with TG and CRP in ACS patients. Show less
no PDF
APOA5
Xian-sheng HUANG, Shui-ping ZHAO, Qian ZHANG +2 more · 2009 · Atherosclerosis · Elsevier · added 2026-04-24
Dyslipidemia is common in patients with acute coronary syndromes (ACS) but the mechanism remains unclear. Apolipoprotein AV (apoAV), a novel member of apolipoprotein family, is involved in lipid metab Show more
Dyslipidemia is common in patients with acute coronary syndromes (ACS) but the mechanism remains unclear. Apolipoprotein AV (apoAV), a novel member of apolipoprotein family, is involved in lipid metabolism. This study was to investigate plasma apoAV level and its association with lipids and high-sensitivity C-reactive protein (hs-CRP) in ACS patients. ACS patients (n=228) and healthy volunteers (n=232) were included. Plasma apoAV levels were measured by an ELISA method. Compared with controls, ACS patients had higher plasma apoAV, hs-CRP, triglycerides, total cholesterol and LDL cholesterol, as well as lower HDL cholesterol. Interestingly, a positive correlation was observed between apoAV and triglycerides in ACS patients, as compared with a negative correlation in controls. Notably, logistic regression analysis showed that plasma apoAV level was an independent predictor of ACS (OR=0.82, 95% CI 0.70-0.95, p<0.05). Furthermore, both apoAV and triglycerides were positively associated with hs-CRP in ACS patients. However, no significant correlations between apoAV and cholesterol including total cholesterol, HDL cholesterol and LDL cholesterol were observed in ACS patients. Thus, apoAV is an independent predictor of ACS although increased plasma apoAV level is positively correlated with triglycerides in ACS patients. Moreover, plasma cholesterol levels are not influenced by apoAV in ACS patients. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2008.11.019
APOA5
Wen-qiu Zhao, Shu-juan Song, Qing Wei +1 more · 2009 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
Hereditary multiple exostoses (HME) is an autosomal dominant disorder characterized by formation of benign cartilage-capped tumors (exostoses), typically located at the juxtaepiphyseal regions of long Show more
Hereditary multiple exostoses (HME) is an autosomal dominant disorder characterized by formation of benign cartilage-capped tumors (exostoses), typically located at the juxtaepiphyseal regions of long bones. It is genetically heterogeneous with at least three chromosomal loci: EXT1 on 8q24.1, EXT2 on 11p11, and EXT3 on 19p. EXT1 and EXT2 have been cloned and are responsible for over 80% of cases. A Chinese family with HME has been analyzed in the present study. Linkage analysis was firstly performed to determine which of the three EXT genes could be the candidate gene, then mutation screening by PCR and direct sequencing was carried out. A novel nonsense mutation (c.1006C>T) in exon 6 of EXT2, which converts the codon CAA (Gln) to the stop codon (TAA) (Gln336X), was identified. Next, prenatal diagnosis was performed and the pregnancy was determined to be normal. A new EXT2 nonsense mutation was found in a Chinese family with hereditary multipe exostoses. The information was used for a case of prenatal diagnosis. Show less
no PDF DOI: 10.3760/cma.j.issn.1003-9406.2009.03.001
EXT1
E-K Tan, Y-Y Teo, K-M Prakash +7 more · 2009 · Neurology · added 2026-04-24
no PDF DOI: 10.1212/WNL.0b013e3181bacfc9
LINGO1