👤 Qidong Zhou

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Also published as: Aiping Zhou, Aiwu Zhou, Alicia Y Zhou, An Zhou, Ang Zhou, Anna Y Zhou, Annan Zhou, Ao Zhou, Aojia Zhou, Aoshuang Zhou, Apei Zhou, Baiwan Zhou, Bao-Sen Zhou, Baohua Zhou, Baojuan Zhou, Baosen Zhou, Beixian Zhou, Beiyi Zhou, Bin Zhou, Bincheng Zhou, Bing Zhou, Bingbing Zhou, Binghai Zhou, Bingqian Zhou, Bingqing Zhou, Bingying Zhou, Binhua P Zhou, Binhua Zhou, Birong Zhou, Bo Zhou, Bo-Ya Zhou, Bo-Yang Zhou, Bubo Zhou, C Zhou, C-J Zhou, Can Zhou, Carl Zhou, Cefan Zhou, Chang Zhou, Chang-Yin Zhou, Changfan Zhou, Changhua Zhou, Changqi Zhou, Changrui Zhou, Changshuai Zhou, Changwen Zhou, Chao Zhou, Chen-Hui Zhou, Chen-Liang Zhou, Chenchen Zhou, Cheng Zhou, Chengji J Zhou, Chenhao Zhou, Chenkang Zhou, Chenqi Zhou, Chenxia Zhou, Chong Zhou, Chong-zhi Zhou, Chongwei Zhou, ChuHuan Zhou, Chuan-Min Zhou, Chuan-Wei Zhou, Chuan-Xiang Zhou, Chuan-chuan Zhou, Chuanen Zhou, Chuanman Zhou, Chuhao Zhou, Chun-Man Zhou, Chun-Ni Zhou, Chunlei Zhou, Chunlin Zhou, Chunni Zhou, Chunxian Zhou, Chunxiu Zhou, Chunyu Zhou, Chunzhuang Zhou, Chuyu Zhou, Cui Zhou, Cuiqi Zhou, Da Zhou, Daijun Zhou, Daizhan Zhou, Dan Zhou, Danmei Zhou, Danxia Zhou, Dao Zhou, David Zhou, Dawei Zhou, Daxin Zhou, Degang Zhou, Dejun Zhou, Dezheng Zhou, Dingan Zhou, Dingzi Zhou, Dong-Sheng Zhou, Dongdong Zhou, Donger Zhou, Dongfang Zhou, Donghai Zhou, Dongjie Zhou, Dongmei Zhou, Dongsheng Zhou, Duanfang Zhou, Duo-Qi Zhou, Duoqi Zhou, Enchen Zhou, Ershun Zhou, F Zhou, Fachen Zhou, Fan Zhou, Fanfan Zhou, Fang Zhou, Fangfang Zhou, Fangli Zhou, Fangting Zhou, Fei Zhou, Feixue Zhou, Feiye Zhou, Feng Zhou, Feng-Quan Zhou, Fenghua Zhou, Fengrui Zhou, Fengyun Zhou, Fenling Zhou, Fu-Ling Zhou, Fude Zhou, Fuling Zhou, Fusheng Zhou, Fuxiang Zhou, Fuyou Zhou, G Zhou, Gang Zhou, Grace Guoying Zhou, Guangji Zhou, Guangjun Zhou, Guangming Zhou, Guangqian Zhou, Guangzhou Zhou, Gui-Feng Zhou, Guifeng Zhou, Guiju Zhou, Guili Zhou, Guiting Zhou, Guo Zhou, Guo-Kun Zhou, Guohong Zhou, Guohua Zhou, Guoli Zhou, Guoyu Zhou, Guyue Zhou, H Zhou, Haibo Zhou, Haihong Zhou, Haihua Zhou, Haijing Zhou, Haimei Zhou, Hairui Zhou, Haixu Zhou, Haiyan Zhou, Haiyuan Zhou, Haiyue Zhou, Han Zhou, Hang Zhou, Hang-Yu Zhou, Hangfan Zhou, Hanshen Zhou, Hanxiao Zhou, Hao Zhou, Hao-Min Zhou, Haobo Zhou, Haonan Zhou, Haoxiong Zhou, Haoyuan Zhou, He Zhou, Helen Zhou, HengCui Zhou, Heying Zhou, Hong Zhou, Hong-Yu Zhou, Honghong Zhou, Hongji Zhou, Honglei Zhou, Hongli Zhou, Hongmei Zhou, Hongmin Zhou, Hongshan Zhou, Hongwei Zhou, Hongwen Zhou, Hongyan Zhou, Hou-De Zhou, Hu Zhou, Hua Ying Zhou, Hua Zhou, Hua-Bang Zhou, Huadong Zhou, Huaijun Zhou, Huamao Zhou, Huan Zhou, Huangao Zhou, Huanjin Zhou, Huanyu Zhou, Huaqiang Zhou, Hui Zhou, Hui-Fen Zhou, Huifang Zhou, Huifen Zhou, Huihui Zhou, Huimin Zhou, Huinian Zhou, Huiqiang Zhou, Huiwen Zhou, J Zhou, Jeff Xiwu Zhou, Ji Zhou, Ji-Chao Zhou, Ji-Ying Zhou, Jia Zhou, Jia-Guo Zhou, Jia-le Zhou, Jiahe Zhou, Jiahua Zhou, Jiajie Zhou, Jiale Zhou, Jiamei Zhou, Jian Zhou, Jian-Peng Zhou, JianJiang Zhou, Jianan Zhou, Jianfen Zhou, Jianfeng Zhou, Jiang-Ning Zhou, Jiangfei Zhou, Jianghao Zhou, Jianghong Zhou, Jianghui Zhou, Jianglin Zhou, Jiangqiao Zhou, Jianguo Zhou, Jianhua Zhou, Jianling Zhou, Jianmin Zhou, Jianqing Zhou, Jianshe Zhou, Jianwei Zhou, Jianying Zhou, Jianzhong Zhou, Jiaqi Zhou, Jiaru Zhou, Jiawang Zhou, Jiawei Zhou, Jiawen Zhou, Jiaxi Zhou, Jiaxiang Zhou, Jiaxin Zhou, Jiayan Zhou, Jiayi Zhou, Jiayin Zhou, Jie Zhou, Jiechao Zhou, Jiefu Zhou, Jieru Zhou, Jieyan Zhou, Jieyu Zhou, Jin Zhou, Jin-Ting Zhou, Jin-Yong Zhou, JinQiu Zhou, Jing Zhou, Jing-Wei Zhou, Jing-Xuan Zhou, Jingbo Zhou, Jingjie Zhou, Jingjing Zhou, Jingjun Zhou, Jingpei Zhou, Jingqi Zhou, Jingwen Zhou, Jingyi Zhou, Jingyu Zhou, Jingyuan Zhou, Jinting Zhou, Jinyi Zhou, Jiuyao Zhou, Jiyong Zhou, John Zhou, Ju Zhou, Juan Zhou, Juanjuan Zhou, Jue-Yu Zhou, Julian Q Zhou, Jun Zhou, Jun-Min Zhou, Jun-Ying Zhou, Jun-Yu Zhou, Jundong Zhou, Junfeng Zhou, Jungu Zhou, Junguo Zhou, Junhe Zhou, Junjie Zhou, Junjun Zhou, Junting Zhou, Junya Zhou, Junyu Zhou, Justin Zhou, Juying Zhou, Kaicheng Zhou, Kaixia Zhou, Kaixin Zhou, Kaiyu Zhou, Kan Zhou, Ke Zhou, Kecheng Zhou, Kefu Zhou, Kejin Zhou, Kexun Zhou, Lamei Zhou, Lan Zhou, Lang Zhou, Lanlan Zhou, Lanping Zhou, Lanqi Zhou, Laura Y Zhou, Le Zhou, Lei Zhou, Lei-Lei Zhou, Li Zhou, Li-Jun Zhou, Liang Zhou, Liangdong Zhou, Liangfu Zhou, Liangrui Zhou, Liangxue Zhou, Liangyu Zhou, Libin Zhou, Libing Zhou, Libo Zhou, Liche Zhou, Lihong Zhou, Lihuan Zhou, Lijun Zhou, Lili Zhou, Limin Zhou, Lin Zhou, Lina Zhou, Linda Zhou, Ling Zhou, Ling-Yun Zhou, Linglin Zhou, Lingshan Zhou, Lingyi Zhou, Lingyun Zhou, Linjun Zhou, Linnan Zhou, Linran Zhou, Lipeng Zhou, Liqun Zhou, Lisha Zhou, Lisheng Zhou, Liting Zhou, Liufang Zhou, Liuqing Zhou, Liuxin Zhou, Lixin Zhou, Liye Zhou, Long Zhou, Lu Zhou, Lufang Zhou, Luling Zhou, Luming Zhou, Lunni Zhou, Luo-Qi Zhou, Luting Zhou, M M Zhou, Maoge Zhou, Maotian Zhou, Mei Zhou, Meijing Zhou, Meilan Zhou, Meiqi Zhou, Meirong Zhou, Meiyi Zhou, Meng-Tao Zhou, Meng-Yao Zhou, Menghua Zhou, Mengkai Zhou, Menglong Zhou, Mengna Zhou, Mengqi Zhou, Mengqian Zhou, Mengze Zhou, Mi Zhou, Miao Zhou, Min Zhou, Ming Zhou, Ming-Ju Zhou, Ming-Ming Zhou, Ming-Sheng Zhou, Mingfeng Zhou, Minglei Zhou, Minglian Zhou, Mingmei Zhou, Mingming Zhou, Mingping Zhou, Mingqi Zhou, Minling Zhou, Minyi Zhou, Molin Zhou, Na Zhou, Nan Zhou, Neng Zhou, Ni Zhou, Nian Zhou, Nianwei Zhou, Ning Zhou, Ningying Zhou, Niuniu Zhou, P Zhou, Pei Zhou, Peng Zhou, Penghui Zhou, Pijun Zhou, Ping Zhou, Ping-Kun Zhou, Pingkun Zhou, Pingxi Zhou, Pingxin Zhou, Puhui Zhou, Q Zhou, Qi Zhou, Qian Zhou, Qiang Zhou, Qianxin Zhou, Qiao Zhou, Qiaoxia Zhou, Qin Zhou, Qin-Yi Zhou, Qing Zhou, Qing-Bing Zhou, Qing-Qing Zhou, Qingbing Zhou, Qingbo Zhou, Qingchun Zhou, Qinghua Zhou, Qingniao Zhou, Qingnv Zhou, Qingping Zhou, Qingtong Zhou, Qingxin Zhou, Qingyu Zhou, Qiong Zhou, Qiu-Min Zhou, Qiu-Zhi Zhou, Qiyang Zhou, Qiyin Zhou, Quan Zhou, Qun Zhou, R B Zhou, Ranran Zhou, Raorao Zhou, Ren Zhou, Rong Zhou, Rong-Yan Zhou, Rongbin Zhou, Rongjia Zhou, Rongxian Zhou, Rongxuan Zhou, Rongyan Zhou, Rouxi Zhou, Ru Zhou, Ruchen Zhou, Rui Zhou, Ruihai Zhou, Ruijun Zhou, Ruimei Zhou, Ruisi Zhou, Runjin Zhou, Ruyi Zhou, S A Zhou, S R Zhou, S Zhou, S-G Zhou, Sa Zhou, Sanshun Zhou, Sha Zhou, Shanshan Zhou, Shao-Lai Zhou, Shaobo Zhou, Shaoli Zhou, Shaolong Zhou, Sheng-Nan Zhou, Shenghua Zhou, Shenghui Zhou, Shengwen Zhou, Shengyang Zhou, Shengyi Zhou, Shenping Zhou, Shiao Zhou, Shibo Zhou, Shiyi Zhou, Shu Zhou, Shuaishuai Zhou, Shuaiyang Zhou, Shuang Zhou, Shuling Zhou, Shumin Zhou, Shun Zhou, Shuo Zhou, Si Zhou, Si-Qi Zhou, Siquan Zhou, Sirui Zhou, Song Zhou, Songhui Zhou, Sufang Zhou, Sumei Zhou, Suqing Zhou, Suzhen Zhou, T Zhou, Tai-Cheng Zhou, Taimei Zhou, Tao Zhou, Tengxiao Zhou, Ti Zhou, Tian-Li Zhou, Tianhua Zhou, Tianqiong Zhou, Tianrong Zhou, Tianxing Zhou, Tianyan Zhou, Tianyu Zhou, Tiger Zhou, Ting Zhou, Tingting Zhou, Tong Zhou, Vincent Zhou, W Zhou, Wan-hao Zhou, Wang Zhou, Wei Zhou, Weihua Zhou, Weihui Zhou, Weijiao Zhou, Weijie Zhou, Weiming Zhou, Weinan Zhou, Weiqiang Zhou, Weishang Zhou, Weiwei Zhou, Weiying Zhou, Wen Zhou, Wen-Chao Zhou, Wen-Hao Zhou, Wen-Jie Zhou, Wen-Quan Zhou, Wenbin Zhou, Wenbo Zhou, Wenchao Zhou, Wenfang Zhou, Wenhao Zhou, Wenjie Zhou, Wenjing Zhou, Wenke Zhou, Wenqing Zhou, Wenrong Zhou, Wenwen Zhou, Wenxing Zhou, Wenyu Zhou, Wenzong Zhou, Wesley Zhou, Wu Zhou, Wuduo Zhou, Wuyuan Zhou, X F Zhou, X Q Zhou, X-T Zhou, Xi Zhou, Xia Zhou, Xia-Bo Zhou, Xiang Zhou, Xiangda Zhou, Xiangdong Zhou, Xianghai Zhou, Xiangrong Zhou, Xianguo Zhou, Xiangyu Zhou, Xiangyuan Zhou, Xianhu Zhou, Xianhua Zhou, Xianhui Zhou, Xianjing Zhou, Xianliang Zhou, Xianxiao Zhou, Xiao Zhou, Xiao-Hai Zhou, Xiao-Ting Zhou, Xiao-Yu Zhou, Xiaobo Zhou, Xiaochuan Zhou, Xiaochun Zhou, Xiaofeng Zhou, Xiaohai Zhou, Xiaohan Zhou, Xiaohui Zhou, Xiaojing Zhou, Xiaolei Zhou, Xiaoli Zhou, Xiaolin Zhou, Xiaoling Zhou, Xiaomao Zhou, Xiaoming Zhou, Xiaonan Zhou, Xiaopu Zhou, Xiaoqian Zhou, Xiaorong Zhou, Xiaorui Zhou, Xiaoshu Zhou, Xiaosu Zhou, Xiaotong Zhou, Xiaowen Zhou, Xiaoxi Zhou, Xiaoxia Zhou, Xiaoxue Zhou, Xiaoyan Zhou, Xiaoye Zhou, Xiaoying Zhou, Xiaozhong Zhou, Xidan Zhou, Xin Tong Zhou, Xin Zhou, Xin-Rong Zhou, Xin-Yu Zhou, Xin-Yue Zhou, Xingtao Zhou, Xinhong Zhou, Xinhua Zhou, Xinming Zhou, Xinyan Zhou, Xinyao Zhou, Xinyi Zhou, Xinyue Zhou, Xinzhi Zhou, Xiqiu Zhou, Xiu-Ping Zhou, Xiuhong Zhou, Xiuling Zhou, Xiuping Zhou, Xiuteng Zhou, Xiyi Zhou, Xu Yu Zhou, Xu Zhou, Xu-Hua Zhou, Xuan Zhou, Xuanchen Zhou, Xuchang Zhou, Xue Dong Zhou, Xue Zhou, Xue-Yan Zhou, Xuedong Zhou, Xuefeng Zhou, Xuejie Zhou, Xueli Zhou, Xueliang Zhou, Xueqin Zhou, Xueqing Zhou, Xueshi Zhou, Xujie Zhou, Xun Zhou, Xuyu Zhou, Y J Zhou, Y Zhou, Y-L Zhou, Yachuan Zhou, Yadi Zhou, Yahui Zhou, Yajun Zhou, Yan Zhou, Yan-Yan Zhou, Yanbing Zhou, Yandong Zhou, Yanfen Zhou, Yang Zhou, Yangbo Zhou, Yangying Zhou, Yanhao Zhou, Yanheng Zhou, Yanhua Zhou, Yanjiao Zhou, Yanjie Zhou, Yanli Zhou, Yanling Zhou, Yanmeng Zhou, Yanqiu Zhou, Yanrong Zhou, Yanyi Zhou, Yao Zhou, Yaping Zhou, Yaqi Zhou, Yating Zhou, Yeyun Zhou, Yi Zhou, Yi-Hui Zhou, Yi-Jiang Zhou, Yichao Zhou, Yidan Zhou, Yifa Zhou, Yifeng Zhou, Yinan Zhou, Ying Zhou, Ying-Hui Zhou, Yinghui Zhou, Yingjie Zhou, Yingmin Zhou, Yingshi Zhou, Yiqing Zhou, Yitian Zhou, Yong Zhou, Yong-Gang Zhou, Yong-Hui Zhou, Yong-an Zhou, Yongbing Zhou, Yongcan Zhou, Yonghua Zhou, Yongjian Zhou, Yongqiang Zhou, Yongtao Zhou, Yongxin Zhou, Yongzhi Zhou, You Lang Zhou, You Zhou, You-Li Zhou, Youping Zhou, Yu Zhou, Yu-Bao Zhou, Yu-Ning Zhou, Yu-Qi Zhou, Yuan Zhou, Yuanyuan Zhou, Yubin Zhou, Yudong Zhou, Yue Zhou, Yueping Zhou, Yuetao Zhou, Yufei Zhou, Yuhan Zhou, Yuhuan Zhou, Yujia Zhou, Yujie Zhou, Yun Zhou, Yun-Fei Zhou, Yun-Tao Zhou, Yunfang Zhou, Yunfeng Zhou, Yunhui Zhou, Yunqian Zhou, Yunxia Zhou, Yunxiang Zhou, Yunyun Zhou, Yunzhen Zhou, Yuqi Zhou, Yuqiao Zhou, Yuqing Zhou, Yuqiu Zhou, Yushan Zhou, Yuting Zhou, Yutong Zhou, Yuxin Zhou, Yuzhi Zhou, Zechen Zhou, Zefeng Zhou, Zenghui Zhou, Zengyuan Zhou, Zengzi Zhou, Zewei Zhou, Zhan Zhou, Zhaokai Zhou, Zhechong Zhou, Zhen Zhou, Zheng Zhou, Zheng-Jun Zhou, Zheng-Yang Zhou, Zhengyang Zhou, Zhengzhong Zhou, Zhenhua Zhou, Zhenlei Zhou, Zhenying Zhou, Zhenyu Zhou, Zheyi Zhou, Zhi Dong Zhou, Zhi Zhou, Zhi-Dong Zhou, Zhi-Gang Zhou, Zhi-Hang Zhou, Zhi-Jiao Zhou, Zhi-Xiang Zhou, Zhi-Yong Zhou, Zhibo Zhou, Zhicheng Zhou, Zhifeng Zhou, Zhiguang Zhou, Zhihang Zhou, Zhihao Zhou, Zhiheng Zhou, Zhihui Zhou, Zhijiao Zhou, Zhijun Zhou, Zhimin Zhou, Zhipeng Zhou, Zhiqin Zhou, Zhiqun Zhou, Zhiwei Zhou, Zhixiang Zhou, Zhiyi Zhou, Zhiyong Zhou, Zhiyu Zhou, Zhongbo Zhou, Zhongjiang Zhou, Zhongkai Zhou, Zhongqiu Zhou, Zhongtao Zhou, Zhongxing Zhou, Zhongyin Zhou, Zhou Zhou, Zhu Zhou, Zhuoming Zhou, Zi-Yang Zhou, Zi-Yi Zhou, Zihan Zhou, Zihao Zhou, Zihua Zhou, Zijun Zhou, Zili Zhou, Ziliang Zhou, Zilin Zhou, Zilong Zhou, Zipeng Zhou, Ziqing Zhou, Ziwei Zhou, Ziyan Zhou, Ziyue Zhou, Ziyun Zhou, Zongkai Zhou, Zunchun Zhou, Zuomin Zhou, Zuoqiong Zhou, Zuping Zhou
articles
Han Zheng, Li Jing, Xihong Jiang +13 more · 2021 · The New phytologist · Blackwell Publishing · added 2026-04-24
Here, we investigate the role of SmERF73, a group VII ETHYLENE RESPONSE FACTOR stress response transcription factor, in the regulation of post-modification of the skeleton precursors of diterpene tans Show more
Here, we investigate the role of SmERF73, a group VII ETHYLENE RESPONSE FACTOR stress response transcription factor, in the regulation of post-modification of the skeleton precursors of diterpene tanshinones in Salvia miltiorrhiza. Most genes found to be involved in tanshinone biosynthesis are located on chromosome 6, and five of these genes comprise a large gene cluster in S. miltiorrhiza. We found that SmERF73 overexpression in S. miltiorrhiza coordinately up-regulated the transcription of seven tanshinone biosynthetic genes, four of which were located in the tanshinone gene cluster, consequently increasing tanshinone accumulation, while SmERF73 silencing reduced corresponding gene transcription and tanshinone accumulation. SmERF73 recognizes GCC-box promoter elements of four tanshinone-associated genes (DXR1, CPS1, KSL1 and CYP76AH3) and activates their expression. Moreover, SmERF73 and its targets were up-regulated by stress elicitors; SmERF73 appears to be at least partly mediated by the jasmonic acid (JA) signaling pathway via interaction with SmJAZ3. SmERF73 coordinately regulates tanshinone biosynthetic gene expression, suggesting a potential link between tanshinone production and plant stress responses. Show less
no PDF DOI: 10.1111/nph.17463
CPS1
Tao Zhang, Ling Hu, Jia-Feng Tang +13 more · 2021 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
The urea cycle (UC) removes the excess nitrogen and ammonia generated by nitrogen-containing compound composites or protein breakdown in the human body. Research has shown that changes in UC enzymes a Show more
The urea cycle (UC) removes the excess nitrogen and ammonia generated by nitrogen-containing compound composites or protein breakdown in the human body. Research has shown that changes in UC enzymes are not only related to tumorigenesis and tumor development but also associated with poor survival in hepatocellular, breast, and colorectal cancers (CRC), etc. Cytoplasmic ornithine, the intermediate product of the urea cycle, is a specific substrate for ornithine decarboxylase (ODC, also known as ODC1) for the production of putrescine and is required for tumor growth. Polyamines (spermidine, spermine, and their precursor putrescine) play central roles in more than half of the steps of colorectal tumorigenesis. Given the close connection between polyamines and cancer, the regulation of polyamine metabolic pathways has attracted attention regarding the mechanisms of action of chemical drugs used to prevent CRC, as the drug most widely used for treating type 2 diabetes (T2D), metformin (Met) exhibits antitumor activity against a variety of cancer cells, with a vaguely defined mechanism. In addition, the influence of metformin on the UC and putrescine generation in colorectal cancer has remained unclear. In our study, we investigated the effect of metformin on the UC and putrescine generation of CRC in vivo and in vitro and elucidated the underlying mechanisms. In nude mice bearing HCT116 tumor xenografts, the administration of metformin inhibited tumor growth without affecting body weight. In addition, metformin treatment increased the expression of monophosphate (AMP)-activated protein kinase (AMPK) and p53 in both HCT116 xenografts and colorectal cancer cell lines and decreased the expression of the urea cycle enzymes, including carbamoyl phosphate synthase 1 (CPS1), arginase 1 (ARG1), ornithine trans-carbamylase (OTC), and ODC. The putrescine levels in both HCT116 xenografts and HCT116 cells decreased after metformin treatment. These results demonstrate that metformin inhibited CRC cell proliferation via activating AMPK/p53 and that there was an association between metformin, urea cycle inhibition and a reduction in putrescine generation. Show less
📄 PDF DOI: 10.3390/molecules26071990
CPS1
Changsen Bai, Hailong Wang, Dong Dong +10 more · 2021 · Frontiers in cell and developmental biology · Frontiers · added 2026-04-24
Hepatocellular carcinoma (HCC) is highly malignant; nearly half of the new cases and deaths are in China. The poor prognosis of HCC is mainly due to late diagnosis; many new biomarkers have been devel Show more
Hepatocellular carcinoma (HCC) is highly malignant; nearly half of the new cases and deaths are in China. The poor prognosis of HCC is mainly due to late diagnosis; many new biomarkers have been developed for HCC diagnosis. However, few markers are quickly translated into clinical practice; early and differential diagnosis of HCC from cirrhosis and/or hepatitis is still a clinical challenge. Metabolomics and biochemical methods were used to reveal specific serum biomarkers of HCC. Most of the elevated metabolites in HCC and HBV patients were overlapped compared with controls. Urea was the specifically elevated serum biomarker of HCC patients. Moreover, urea combined with AFP and CEA can improve the sensitivity of HCC diagnosis. The plasma ammonia of HCC patients was significantly higher than healthy controls. Co-culture cell model revealed normal liver cells cooperated with cancer cells to metabolize ammonia into urea. The urea metabolism in cancer cells marginally depended on the expression of CPS1. However, the expression of CPS1 did not change with ammonium chloride, which might regulate the urea cycle through enzyme activity. The urea cycle could detoxify high concentrations of ammonia to promote cancer cell proliferation. Therefore, urea was a by-product of ammonia metabolism and could be a potential serum biomarker for HCC. The combined application of metabolomics and biochemical methods can discover new biomarkers for the early diagnosis of HCC and be quickly applied to clinical diagnosis. Show less
📄 PDF DOI: 10.3389/fcell.2021.650748
CPS1
Wei Wang, Qiang Li, Ge Huang +6 more · 2021 · OncoTargets and therapy · added 2026-04-24
The poor prognosis of hepatocellular carcinoma (HCC) urgent us to discover early and effective biomarkers. In this study, we applied tandem mass tag (TMT)-based proteomic analysis to discover potentia Show more
The poor prognosis of hepatocellular carcinoma (HCC) urgent us to discover early and effective biomarkers. In this study, we applied tandem mass tag (TMT)-based proteomic analysis to discover potential protein markers for HCC identification and differentiation. Fifteen patients, well-differentiated (G1, N = 5), moderate-differentiated (G2, N = 5), and poorly differentiated (G3, N = 5), with 30 matched pair tissues (both tumor and adjacent non-tumor tissues derived from the same patient) were enrolled. All samples were subjected to TMT labeling and LC-MS/MS analysis. The identified proteins were subsequently assigned to GO and KEGG for predicting function. The identified protein candidates were validated using immunohistochemistry (IHC). A total of 1010 proteins were identified. Of these, 154 differentially expressed proteins (DEPs), 100 up-regulated and 54 down-regulated, were found between tumor and adjacent non-tumor tissues; 12 DEPs, 9 up-regulated and 3 down-regulated, were found between G1 and G3 tissues; 8 DEPs, 5 up-regulated and 3 down-regulated, were found between G1 and G2 tissues; 11 DEPs, 8 up-regulated and 3 down-regulated, were found between G2 and G3 tissues. Among them, ASS1 and CPS1 were significantly up-regulated while UROD and HBB were significantly down-regulated in G3 compared with G1 and G2 tumors. Three proteins, CYB5A, FKBP11 and YBX1, were significantly up-regulated in G1 compared with both G2 and G3 tumors. The 7 biomarker candidates were further verified by IHC. A variety of DEPs related to the histological differentiation of HCC were identified, among which ASS1, CPS1, URPD and HBB proteins were potential biomarkers for distinguishing poorly differentiated HCC, while CYB5A, FKBP11 and YBX1 were potential biomarkers for distinguishing well-differentiated HCC. Our findings may further provide a new insight facilitating the diagnosis and prognosis of HCC. Show less
📄 PDF DOI: 10.2147/OTT.S273823
CPS1
Yong Ren, Meiling Chen, Guangxian Wu +4 more · 2021 · Scientific reports · Nature · added 2026-04-24
Increasing studies demonstrated that oncolytic activities of oHSV-1 are limited to the capacity of virus replicating in tumors. In order to potentiate the oHSV-1 oncolytic activity and expand the appl Show more
Increasing studies demonstrated that oncolytic activities of oHSV-1 are limited to the capacity of virus replicating in tumors. In order to potentiate the oHSV-1 oncolytic activity and expand the application of oHSV-1 treatment in multiple types of tumors, it is critical to explore the potential factors or mechanisms mediating tumor resistance to oHSV-1 infection. Here we evaluated the levels of oHSV-1 multiplication in various tumor cell lines and showed that glioblastoma cell line A172 had the lowest virus yields but intrinsically accumulated the highest levels of Mx2 protein. Subsequently we demonstrated that genetic depletion of Mx2 specifically enhanced oHSV-1 productive replication in A172 cells through promoting the nuclear translocation of uncoated viral genomic DNA and down-regulating innate antiviral response. In the further investigation, we found that Mx2 knockdown could alter the intrinsic mRNA accumulation of diverse sets innate immune genes in A172 cells, in particular DHX36 and MyD88. Mx2 depletion led to a decrease in mRNA levels of MyD88 and DHX36 in A172 cells and MyD88/DHX36 knockdown increased virus yield in A172 cells and decreased the production of IFNα, activation of IRF3 activity and NF-κB signaling in A172 cells. This shed new lights on understanding the roles of some intrinsic antiviral genes in oHSV-1 resistance, facilitating to offer potential targets to improve oHSV-1 oncolytic efficacy and develop candidates of biomarkers to predict the efficiency of oHSV-1 multiplication in tumors. Show less
📄 PDF DOI: 10.1038/s41598-021-00691-y
DHX36
Huijuan You, Yu Zhou, Jie Yan · 2021 · Methods in molecular biology (Clifton, N.J.) · Springer · added 2026-04-24
Single-molecule manipulation methods are useful techniques to probe the interactions of proteins and nucleic acid structures. Here, we describe the magnetic tweezers-based single-molecule investigatio Show more
Single-molecule manipulation methods are useful techniques to probe the interactions of proteins and nucleic acid structures. Here, we describe the magnetic tweezers-based single-molecule investigation of the binding of helicases to G-quadruplex structures and their ATP-dependent unwinding activity, using DHX36 (also known as RHAU and G4R1) helicase and a DNA G-quadruplex structure for an example. We specifically emphasize on the principle and method to probe the interactions between DHX36 and the DNA G-quadruplex in different intermediate states during an ATPase cycle of DHX36, based on detecting the DHX36-induced changes in the lifetime of the DNA G-quadruplex under tension. The principle of the measurement can be broadly extended to the studies of other DNA or RNA G-quadruplex helicases. Show less
no PDF DOI: 10.1007/978-1-0716-0935-4_12
DHX36
Xin-Ya Qin, Qing-Hong Shan, Hui Fang +5 more · 2021 · Acta neuropathologica · Springer · added 2026-04-24
Since the discovery of ketamine anti-depressant effects in last decade, it has effectively revitalized interest in investigating excitatory synapses hypothesis in the pathogenesis of depression. In th Show more
Since the discovery of ketamine anti-depressant effects in last decade, it has effectively revitalized interest in investigating excitatory synapses hypothesis in the pathogenesis of depression. In the present study, we aimed to reveal the excitatory synaptic regulation of corticotropin-releasing hormone (CRH) neuron in the hypothalamus, which is the driving force in hypothalamic-pituitary-adrenal (HPA) axis regulation. This study constitutes the first observation of an increased density of PSD-93-CRH co-localized neurons in the hypothalamic paraventricular nucleus (PVN) of patients with major depression. PSD-93 overexpression in CRH neurons in the PVN induced depression-like behaviors in mice, accompanied by increased serum corticosterone level. PSD-93 knockdown relieved the depression-like phenotypes in a lipopolysaccharide (LPS)-induced depression model. Electrophysiological data showed that PSD-93 overexpression increased CRH neurons synaptic activity, while PSD-93 knockdown decreased CRH neurons synaptic activity. Furthermore, we found that LPS induced increased the release of glutamate from microglia to CRH neurons resulted in depression-like behaviors using fiber photometry recordings. Together, these results show that PSD-93 is involved in the pathogenesis of depression via increasing the synaptic activity of CRH neurons in the PVN, leading to the hyperactivity of the HPA axis that underlies depression-like behaviors. Show less
no PDF DOI: 10.1007/s00401-021-02371-7
DLG2
Ming Gao, Guijie Guo, Jinzhou Huang +17 more · 2021 · Nucleic acids research · Oxford University Press · added 2026-04-24
RPA is a critical factor for DNA replication and replication stress response. Surprisingly, we found that chromatin RPA stability is tightly regulated. We report that the GDP/GTP exchange factor DOCK7 Show more
RPA is a critical factor for DNA replication and replication stress response. Surprisingly, we found that chromatin RPA stability is tightly regulated. We report that the GDP/GTP exchange factor DOCK7 acts as a critical replication stress regulator to promote RPA stability on chromatin. DOCK7 is phosphorylated by ATR and then recruited by MDC1 to the chromatin and replication fork during replication stress. DOCK7-mediated Rac1/Cdc42 activation leads to the activation of PAK1, which subsequently phosphorylates RPA1 at S135 and T180 to stabilize chromatin-loaded RPA1 and ensure proper replication stress response. Moreover, DOCK7 is overexpressed in ovarian cancer and depleting DOCK7 sensitizes cancer cells to camptothecin. Taken together, our results highlight a novel role for DOCK7 in regulation of the replication stress response and highlight potential therapeutic targets to overcome chemoresistance in cancer. Show less
📄 PDF DOI: 10.1093/nar/gkab134
DOCK7
Zhaopeng Shi, Guifang Gan, Xiang Xu +13 more · 2021 · Journal of hematology & oncology · BioMed Central · added 2026-04-24
The 3-hydroxyanthranilic acid (3-HAA), a derivative of kynurenine, was reported to suppress tumor growth. However, the function of 3-HAA largely remains unclear. Here, we report that 3-hydroxyanthrani Show more
The 3-hydroxyanthranilic acid (3-HAA), a derivative of kynurenine, was reported to suppress tumor growth. However, the function of 3-HAA largely remains unclear. Here, we report that 3-hydroxyanthranilic acid (3-HAA) is lower in tumor cells, while adding exogenous 3-HAA induces apoptosis in hepatocellular carcinoma by binding YY1. This 3-HAA binding of YY1 leads to phosphorylation of YY1 at the Thr 398 by PKCζ, concomitantly enhances YY1 chromatin binding activity to increase expression of target genes. These findings demonstrate that 3-HAA is a ligand of YY1, suggesting it is a promising therapeutic candidate for HCC. Show less
📄 PDF DOI: 10.1186/s13045-021-01165-4
DUSP6
Ling Kui, Qinghua Kong, Xiaonan Yang +11 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Breast cancer has surpassed lung cancer as the most commonly diagnosed cancer in women worldwide. Some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combi Show more
Breast cancer has surpassed lung cancer as the most commonly diagnosed cancer in women worldwide. Some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combination of conventional therapies and traditional Chinese medicine (TCM) significantly improves treatment efficacy in breast cancer. However, the chemical composition and underlying anti-tumor mechanisms of TCM still need to be investigated. The primary aim of this study is to provide unique insights to screen the natural components for breast cancer therapy using high-throughput transcriptome analysis. Differentially expressed genes were identified based on two conditions: single samples and groups were classified according to their pharmaceutical effect. Subsequently, the sample treated with Show less
📄 PDF DOI: 10.3389/fonc.2021.684351
DUSP6
Chuantao Zhang, Man Jiang, Na Zhou +5 more · 2021 · Scientific reports · Nature · added 2026-04-24
Lung cancer is the leading cause of death worldwide. Especially, non-small cell lung cancer (NSCLC) has higher mortality rate than the other cancers. The high mortality rate is partially due to lack o Show more
Lung cancer is the leading cause of death worldwide. Especially, non-small cell lung cancer (NSCLC) has higher mortality rate than the other cancers. The high mortality rate is partially due to lack of efficient biomarkers for detection, diagnosis and prognosis. To find high efficient biomarkers for clinical diagnosis of NSCLC patients, we used gene differential expression and gene ontology (GO) to define a set of 26 tumor suppressor (TS) genes. The 26 TS genes were down-expressed in tumor samples in cohorts GSE18842, GSE40419, and GSE21933 and at stages 2 and 3 in GSE19804, and 15 TS genes were significantly down-expressed in tumor samples of stage 1. We used S-scores and N-scores defined in correlation networks to evaluate positive and negative influences of these 26 TS genes on expression of other functional genes in the four independent cohorts and found that SASH1, STARD13, CBFA2T3 and RECK were strong TS genes that have strong accordant/discordant effects and network effects globally impacting the other genes in expression and hence can be used as specific biomarkers for diagnosis of NSCLC cancer. Weak TS genes EXT1, PTCH1, KLK10 and APC that are associated with a few genes in function or work in a special pathway were not detected to be differentially expressed and had very small S-scores and N-scores in all collected datasets and can be used as sensitive biomarkers for diagnosis of early cancer. Our findings are well consistent with functions of these TS genes. GSEA analysis found that these 26 TS genes as a gene set had high enrichment scores at stages 1, 2, 3 and all stages. Show less
📄 PDF DOI: 10.1038/s41598-020-80735-x
EXT1
Tao Liu, Limin Zhou, Lianbo Zhang +2 more · 2021 · Oncology research · added 2026-04-24
Many studies have illustrated the significance of long noncoding RNAs in oncogenesis and promotion of breast cancer (BC). However, the biological roles of CCDC183 antisense RNA 1 (CCDC183-AS1) in BC h Show more
Many studies have illustrated the significance of long noncoding RNAs in oncogenesis and promotion of breast cancer (BC). However, the biological roles of CCDC183 antisense RNA 1 (CCDC183-AS1) in BC have rarely been characterized. Thus, we explored whether CCDC183-AS1 is involved in the malignancy of BC and elucidated the possible underlying mechanisms. Our data confirmed elevated CCDC183-AS1 expression in BC, which was associated with poor clinical outcomes. Functionally, knocking down CCDC183-AS1 hampered cell proliferation, colony formation, migration, and invasion in BC. Additionally, the absence of CCDC183-AS1 restrained tumor growth Show less
📄 PDF DOI: 10.32604/or.2022.03573
FGFR1
Yiyi Ma, Eric B Dammer, Daniel Felsky +19 more · 2021 · Nature communications · Nature · added 2026-04-24
RNA editing is a feature of RNA maturation resulting in the formation of transcripts whose sequence differs from the genome template. Brain RNA editing may be altered in Alzheimer's disease (AD). Here Show more
RNA editing is a feature of RNA maturation resulting in the formation of transcripts whose sequence differs from the genome template. Brain RNA editing may be altered in Alzheimer's disease (AD). Here, we analyzed data from 1,865 brain samples covering 9 brain regions from 1,074 unrelated subjects on a transcriptome-wide scale to identify inter-regional differences in RNA editing. We expand the list of known brain editing events by identifying 58,761 previously unreported events. We note that only a small proportion of these editing events are found at the protein level in our proteome-wide validation effort. We also identified the occurrence of editing events associated with AD dementia, neuropathological measures and longitudinal cognitive decline in: SYT11, MCUR1, SOD2, ORAI2, HSDL2, PFKP, and GPRC5B. Thus, we present an extended reference set of brain RNA editing events, identify a subset that are found to be expressed at the protein level, and extend the narrative of transcriptomic perturbation in AD to RNA editing. Show less
📄 PDF DOI: 10.1038/s41467-021-27204-9
GPRC5B
Yali Wang, Changrui Zhou, Tianlian Yu +1 more · 2021 · Journal of healthcare engineering · added 2026-04-24
To investigate the correlation between changes in serum RBP4, hs-CRP, and IL-27 levels and rosuvastatin in the treatment of coronary heart disease (CHD). One hundred and twenty patients with CHD admit Show more
To investigate the correlation between changes in serum RBP4, hs-CRP, and IL-27 levels and rosuvastatin in the treatment of coronary heart disease (CHD). One hundred and twenty patients with CHD admitted in our hospital were selected as the research object, including 60 patients with acute coronary syndrome as the ACS group, and 60 patients with stable angina as the SA group. Another 60 patients without CHD who were examined in our hospital at the same time were included in the non-CHD group. The patients with CHD were further divided into the control group (CG) ( After retrospective analysis, no significant difference was found among the ACS group, the SA group, and the non-CHD group ( Serum RBP4, hs-CRP, and IL-27 play an important role in the occurrence and development of CHD, with a positive correlation to the Gensini score, which can indicate the severity of cardiovascular disease to a certain extent. Meanwhile, rosuvastatin can remarkably reduce serum RBP4, hs-CRP, and IL-27 levels, which is of significance for prognosis. Show less
📄 PDF DOI: 10.1155/2021/8476592
IL27
Qian Wang, Dehai Li, Guangchao Cao +32 more · 2021 · Nature · Nature · added 2026-04-24
Thermogenesis in brown and beige adipose tissue has important roles in maintaining body temperature and countering the development of metabolic disorders such as obesity and type 2 diabetes
no PDF DOI: 10.1038/s41586-021-04127-5
IL27
Yuhong Qi, Chan Liu, Xin Zhong +7 more · 2021 · EBioMedicine · Elsevier · added 2026-04-24
The initial clinical manifestations and abdominal imaging findings of neonates with necrotising enterocolitis (NEC) and food protein-induced enterocolitis syndrome (FPIES) are sometimes similar; howev Show more
The initial clinical manifestations and abdominal imaging findings of neonates with necrotising enterocolitis (NEC) and food protein-induced enterocolitis syndrome (FPIES) are sometimes similar; however, their prognosis and therapies are different. We aimed to evaluate the utility of interleukin (IL)-27 as a differentiation marker between NEC and highly suspected early onset (HSEO)-FPIES. All samples used in this study were obtained from the neonatal diagnosis centre of Children's Hospital of Chongqing Medical University. In the case-control study, neonates with NEC (n = 13), HSEO-FPIES (n = 9), and jaundice (control, n = 8) were enroled to determine the serum IL-27 levels using commercial enzyme-linked immunosorbent assay (ELISA) kits. In the validation cohort study, the NEC (n = 87), HSEO-FPIES (n = 62), and jaundice (control, n = 54) groups were included to analyse the diagnostic efficiency of IL-27 for discriminating between NEC and HSEO-FPIES using a receiver operating characteristic (ROC) curve. In the case-control study, IL-27 levels were higher in the NEC group than in the HSEO-FPIES group (p = 0·005). In the cohort study, the area under the ROC curve (AUC) of IL-27 for differentiating NEC from HSEO-FPIES was 0·878, which was higher than the AUCs of IL-6 (0·761), C-reactive protein (0·800), white blood cell count (0·637), neutrophils (0·765), lymphocytes (0·782), neutrophil to lymphocyte ratio (0·781), and platelet count (0·729). Serum IL-27 is a novel biomarker that may potentially discriminate NEC from HSEO-FPIES in neonates. None. Show less
📄 PDF DOI: 10.1016/j.ebiom.2021.103607
IL27
Wencheng Zhang, Cihui Yan, Tian Zhang +15 more · 2021 · Oncoimmunology · Taylor & Francis · added 2026-04-24
Patients with locally advanced esophageal squamous cell carcinoma (ESCC) show poor survival after concurrent chemoradiotherapy. This study investigated the safety and feasibility of combining concurre Show more
Patients with locally advanced esophageal squamous cell carcinoma (ESCC) show poor survival after concurrent chemoradiotherapy. This study investigated the safety and feasibility of combining concurrent chemoradiotherapy with the anti-PD-1 antibody camrelizumab as first-line treatment for these patients. In this phase 1b study (ClinicalTrials.gov NCT03671265), patients received concurrent chemotherapy (cisplatin [25 mg/m Show less
📄 PDF DOI: 10.1080/2162402X.2021.1971418
IL27
Xiao Liu, Zhonglan Hu, Jun Zhang +8 more · 2021 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Psoriasis is a severe skin disease with significant physical and psychological health consequences. As a typical type of immune disease, both innate and adaptive immunity disorders play key roles in t Show more
Psoriasis is a severe skin disease with significant physical and psychological health consequences. As a typical type of immune disease, both innate and adaptive immunity disorders play key roles in the development of psoriasis. Interleukin (IL)-30 was thought as a natural antagonist of gp130-mediated signaling that affects T helper type 1 and 17 cell polarization by inhibiting IL-6 and IL-27 signaling pathways. Here, we found that, in vitro, IL-30 reduced cytokine levels of HaCaT keratinocytes and dendritic cells (DCs), weakened the maturationS of DCs, inhibited DC-mediated T cell proliferation, and blocked the activation of nuclear factor-κB. In vivo, IL-30 inhibited the development of skin disease in two animal models: Krt14-Vegfa and imiquimod (IMQ)-induced psoriasis-like skin disease. Thus, IL-30 may be useful as a therapeutic agent for controlling psoriasis. Show less
no PDF DOI: 10.1016/j.bbrc.2021.09.042
IL27
Sihan Wu, Rui Ma, Yajie Zhong +5 more · 2021 · International journal of molecular sciences · MDPI · added 2026-04-24
Human uveitis is an autoimmune disease of the central nervous system that is characterized by ocular inflammation with the involvement of uveitogenic Th1 and Th17 responses. In experimental autoimmune Show more
Human uveitis is an autoimmune disease of the central nervous system that is characterized by ocular inflammation with the involvement of uveitogenic Th1 and Th17 responses. In experimental autoimmune uveitis (EAU), the animal model for human uveitis, both responses are proven to be critical in disease development. Therefore, targeting both Th1 and Th17 cells has therapeutic implication for disease resolution. IL-27 is a multifunctional cytokine that can either promote or inhibit T cell responses and is implicated in both autoimmune and infectious diseases. The aim of this study is to characterize the role of IL-27/IL-27R signaling in regulating uveitogenic Th1/Th17 responses in EAU. By immunizing IL-27Rα Show less
📄 PDF DOI: 10.3390/ijms22147517
IL27
Qifeng Zhong, Yong Lu, Wenlong Xu +5 more · 2021 · International immunopharmacology · Elsevier · added 2026-04-24
CD303
no PDF DOI: 10.1016/j.intimp.2021.107983
IL27
Yuxin Ran, Dongni Huang, Youwen Mei +6 more · 2021 · Bioengineered · Taylor & Francis · added 2026-04-24
Preterm birth (PTB) is an immune-inflammatory disease that needs to be resolved. This study aimed to identify the role of interleukin-27 (IL-27), an immunomodulatory factor, in PTB and its associated Show more
Preterm birth (PTB) is an immune-inflammatory disease that needs to be resolved. This study aimed to identify the role of interleukin-27 (IL-27), an immunomodulatory factor, in PTB and its associated mechanisms. Here, we analyzed the high-throughput of samples data from the maternal-fetal interface to the peripheral circulation obtained from public databases and reported that the elevated IL-27 was involved with the onset of PTB. Further bioinformatics analyses (e.g. GeneMANIA and GSEA) revealed that IL-27 overexpression in the peripheral circulation as well as maternal-fetal interface is related to the activation of the immune-inflammatory process represented by IFN-γ signaling, etc. In addition, IL-27 and immune infiltration correlation analysis demonstrated that IL-27 mediates this immune-inflammatory imbalance, plausibly mainly through monocyte-macrophage and neutrophils. This finding was further validated by analyzing additional datasets. Overall, this is the first study to elaborate on the role of IL-27-mediated immuno-inflammation in PTB from the perspective of bioinformatics, which may provide a novel strategy for the prevention and treatment of PTB. Show less
📄 PDF DOI: 10.1080/21655979.2021.1945894
IL27
Feng Zhu, Qinfang Ou, Jian Zheng +3 more · 2021 · Medicine · added 2026-04-24
To evaluate the value of interleukin (IL)-27 measured in serum and bronchoalveolar lavage fluid (BALF) for the diagnosis of smear-negative pulmonary tuberculosis (TB). This was a prospective study of Show more
To evaluate the value of interleukin (IL)-27 measured in serum and bronchoalveolar lavage fluid (BALF) for the diagnosis of smear-negative pulmonary tuberculosis (TB). This was a prospective study of patients planned to undergo bronchoscopy at Wuxi No.5 People's Hospital between January 2017 and September 2018. The patients were grouped as the TB and control groups. BALF and serum IL-27 were measured by ELISA. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value and calculate the optimal cutoff values. There were 40 patients in the control group and 87 in the TB group. In the TB group, 20 had positive sputum smear results and 67 were negative. The area under the ROC curve (AUC) of BALF IL-27 for pulmonary TB was 0.897 (95% CI: 0.830-0.944) (P < .001). The AUC of serum IL-27 for pulmonary TB was 0.703 (95% CI: 0.616-0.781) (P < .001). In patients with negative sputum smear results, the AUCs of BALF IL-27 and serum IL-27 for pulmonary TB was 0.882 (95% confidence interval [CI]: 0.805-0.936) (P < .001) and 0.679 (95% CI: 0.601-0.782) (P < .001), respectively. BALF IL-27 can be used for the diagnosis of pulmonary TB, particularly in those with a negative sputum smear result. Serum IL-27 could be an auxiliary method for TB screening. Show less
📄 PDF DOI: 10.1097/MD.0000000000025821
IL27
Xu Wang, Jie Mao, Tao Zhou +8 more · 2021 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.49327
IL27
Qi He, Lin Jiang, Yi Zhang +17 more · 2021 · Neurobiology of disease · Elsevier · added 2026-04-24
In view of the negative regulatory effect of leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1) on neurons, an antibody against LINGO-1 (anti-L Show more
In view of the negative regulatory effect of leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1) on neurons, an antibody against LINGO-1 (anti-LINGO-1 antibody) was herein administered to 10-month-old APP/PS1 transgenic Alzheimer's disease (AD) mice for 2 months as an experimental intervention. Behavioral, stereology, immunohistochemistry and immunofluorescence analyses revealed that the anti-LINGO-1 antibody significantly improved the cognitive abilities, promoted adult hippocampal neurogenesis (AHN), decreased the amyloid beta (Aβ) deposition, enlarged the hippocampal volume, and increased the numbers of total neurons and GABAergic interneurons, including GABAergic and CCK-GABAergic interneurons rich in cannabinoid type 1 receptor (CB1R), in the hippocampus of AD mice. In contrast, this intervention significantly reduced the number of GABAergic interneurons expressing LINGO-1 and CB1R in the hippocampus of AD mice. More importantly, we also found a negative correlation between LINGO-1 and CB1R on GABAergic interneurons in the hippocampus of AD mice, while the anti-LINGO-1 antibody reversed this relationship. These results indicated that LINGO-1 plays an important role in the process of hippocampal neuron loss in AD mice and that antagonizing LINGO-1 can effectively prevent hippocampal neuron loss and promote AHN. The improvement in cognitive abilities may be attributed to the improvement in AHN, and in the numbers of GABAergic interneurons and CCK-GABAergic interneurons rich in CB1Rs in the hippocampus of AD mice induced by the anti-LINGO-1 antibody. Collectively, the double target effect (LINGO-1 and CB1R) initiated by the anti-LINGO-1 antibody may provide an important basis for the study of drugs for the prevention and treatment of AD in the future. Show less
no PDF DOI: 10.1016/j.nbd.2021.105406
LINGO1
Yu-Han Xie, Chun-Ni Zhou, Xin Liang +11 more · 2021 · The Journal of comparative neurology · Wiley · added 2026-04-24
Chronic stress can induce cognitive impairment, and synapse number was significantly decreased in the hippocampus of rats suffering from chronic stress. Lingo-1 is a potent negative regulator of axona Show more
Chronic stress can induce cognitive impairment, and synapse number was significantly decreased in the hippocampus of rats suffering from chronic stress. Lingo-1 is a potent negative regulator of axonal outgrowth and synaptic plasticity. In the current study, the effects of anti-Lingo-1 antibody on the spatial learning and memory abilities and hippocampal synapses of stressed rats were investigated. After 4 weeks of stress exposure, the model group was randomly divided into a chronic stress group and an anti-Lingo-1 group. Then, the anti-Lingo-1 group rats were treated with anti-Lingo-1 antibody (8 mg/kg) for 3 weeks. The effects of anti-Lingo-1 antibody on the spatial learning and memory abilities were investigated with the Morris water maze test. Immunohistological staining and an unbiased stereological method were used to estimate the total number of dendritic spine synapses in the hippocampus. At the behavioral level, after 3 weeks of treatment, the anti-Lingo-1 group rats displayed significantly more platform location crossings in the Morris water maze test than the chronic stress group rats. Anti-Lingo-1 significantly prevented the declines in dendritic spine synapses and postsynaptic density protein-95 (PSD-95) expression in the dentate gyrus and the CA1 and CA3 regions of the hippocampus. The present results indicated that anti-Lingo-1 antibody may be a safe and effective drug for alleviating memory impairment in rats after chronic stress and protecting synapses in the hippocampus of stressed rats. Show less
no PDF DOI: 10.1002/cne.25038
LINGO1
Fang He, Huan Ding, Yang Zhou +4 more · 2021 · Frontiers in medicine · Frontiers · added 2026-04-24
Aging acts as a dominating risk factor for human cancers. Herein, we systematically dissected the features of transcriptional aging-relevant genes in gastric cancer from multiple perspectives. Based o Show more
Aging acts as a dominating risk factor for human cancers. Herein, we systematically dissected the features of transcriptional aging-relevant genes in gastric cancer from multiple perspectives. Based on the transcriptome profiling of prognostic aging-relevant genes, patients with gastric cancer in The Cancer Genome Atlas (TCGA) stomach adenocarcinoma (TCGA-STAD) cohort were clustered with a consensus clustering algorithm. Mutational landscape and chemotherapeutic responses were analyzed and immunological features (immunomodulators, immune checkpoint molecules, cancer immunity cycle, and tumor-infiltrating immune cells) were systematically evaluated across gastric cancer. Weighted gene co-expression network (WGCNA) was conducted for screening aging molecular phenotype-relevant genes, and key genes were identified with Molecular Complex Detection (MCODE) analyses. Expressions of key genes were examined in 20 paired tumors and controls with RT-qPCR and Western blotting. Proliferation and apoptosis were investigated in two gastric cancer cells under MYL9 deficiency. Three aging-based molecular phenotypes (namely, C1, C2, and C3) were conducted in gastric cancer. Phenotype C1 presented the most prominent survival advantage and highest mutational frequencies. Phenotype C2 indicated low responses to sorafenib and gefitinib, while C3 indicated low responses to vinorelbine and gemcitabine. Additionally, phenotype C2 was characterized by enhanced immune and stromal activation and an inflamed tumor microenvironment. Seven aging molecular phenotype-relevant key genes (ACTA2, CALD1, LMOD1, MYH11, MYL9, MYLK, and TAGLN) were identified, which were specifically upregulated in tumors and in relation to dismal prognosis. Among them, MYL9 deficiency reduced proliferation and enhanced apoptosis in gastric cancer cells. Collectively, aging-based molecular subtypes may offer more individualized therapy recommendations and prognosis assessment for patients in distinct subtypes. Show less
📄 PDF DOI: 10.3389/fmed.2021.792740
LMOD1
Mary E Haas, James P Pirruccello, Samuel N Friedman +14 more · 2021 · Cell genomics · Elsevier · added 2026-04-24
Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease and cardiometabolic diseases but often remains undiagnosed in clinical practice because of the need for Show more
Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease and cardiometabolic diseases but often remains undiagnosed in clinical practice because of the need for direct imaging assessments. We developed an abdominal MRI-based machine-learning algorithm to accurately estimate liver fat (correlation coefficients, 0.97-0.99) from a truth dataset of 4,511 middle-aged UK Biobank participants, enabling quantification in 32,192 additional individuals. 17% of participants had predicted liver fat levels indicative of steatosis, and liver fat could not have been reliably estimated based on clinical factors such as BMI. A genome-wide association study of common genetic variants and liver fat replicated three known associations and identified five newly associated variants in or near the Show less
📄 PDF DOI: 10.1016/j.xgen.2021.100066
MAST3
Zhechong Zhou, Sisi Kang, Zhaoxia Huang +2 more · 2021 · Journal of leukocyte biology · Wiley · added 2026-04-24
The interaction of the solo H3K79 methyltransferase DOT1-like (DOT1L) and its regulatory factor ALL1-fused gene from chromosome 10 protein (AF10) is crucial for the transcription of developmental gene Show more
The interaction of the solo H3K79 methyltransferase DOT1-like (DOT1L) and its regulatory factor ALL1-fused gene from chromosome 10 protein (AF10) is crucial for the transcription of developmental genes such as HOXA in acute leukemia. The octapeptide motif and leucine zipper region of AF10 is responsible for binding DOT1L and catalyzing H3K79 monomethylation to demethylation. However, the characteristics of the mechanism between DOT1L and AF10 are not clear. Here, we present the crystal structures of coiled-coil regions of DOT1L-AF10 and AF10-inhibitory peptide, demonstrating the inhibitory peptide could form a compact complex with AF10 via a different recognition pattern. Furthermore, an inhibitory peptide with structure-based optimization is identified and decreases the HOXA gene expression in a human cell line. Our studies provide an innovative pharmacologic basis for therapeutic intervention in leukemia. Show less
no PDF DOI: 10.1002/JLB.1MA0421-010R
MLLT10
Nan Chen, Shan Song, Zhifen Yang +4 more · 2021 · Journal of diabetes and its complications · Elsevier · added 2026-04-24
In the present study, we investigated the effect of carbohydrate responsive element binding protein (ChREBP) on the TXNIP/oxidative stress and apoptosis in diabetic nephropathy. ChREBP Renal expressio Show more
In the present study, we investigated the effect of carbohydrate responsive element binding protein (ChREBP) on the TXNIP/oxidative stress and apoptosis in diabetic nephropathy. ChREBP Renal expression of ChREBP and thioredoxin-interacting protein (TXNIP) was increased in patients with type 2 diabetes mellitus (T2DM) and diabetic mice. ChREBP deficiency improved renal function, apoptosis as well as endoplasmic reticulum (ER) stress in diabetic mice. In addition, ChREBP deficiency prevented expression levels of TXNIP and NADPH oxidase 4 (Nox4), 8-hydroxydeoxyguanosine (8-OHdG) and heme oxygenase-1 (HO-1) in diabetic kidneys. The increased urinary 8-OHdG level induced by diabetes was also attenuated in ChREBP deficiency mice. Similarly, HG was shown to induce ChREBP expression and nuclear translocation in HK-2 cells. HG-induced apoptosis was inhibited by transfection of ChREBP shRNA plasmid. Moreover, we found that knockdown of ChREBP suppressed HG-induced TXNIP and Nox4 expression, reactive oxygen species (ROS) generation and ER stress in HK-2 cells. Furthermore, TXNIP knockdown effectively abrogated HG-induced apoptosis in HK-2 cells. These results suggest that ChREBP deficiency prevents diabetes-induced apoptosis via inhibiting oxidative stress and ER stress, highlighting ChREBP as a potential therapy target for diabetic nephropathy. Show less
no PDF DOI: 10.1016/j.jdiacomp.2021.108050
MLXIPL
Cong Xiang, Yannan Zhang, Qiaoli Chen +11 more · 2021 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Insulin-independent glucose metabolism, including anaerobic glycolysis that is promoted in resistance training, plays critical roles in glucose disposal and systemic metabolic regulation. However, the Show more
Insulin-independent glucose metabolism, including anaerobic glycolysis that is promoted in resistance training, plays critical roles in glucose disposal and systemic metabolic regulation. However, the underlying mechanisms are not completely understood. In this study, through genetically manipulating the glycolytic process by overexpressing human glucose transporter 1 (GLUT1), hexokinase 2 (HK2) and 6-phosphofructo-2-kinase-fructose-2,6-biphosphatase 3 (PFKFB3) in mouse skeletal muscle, we examined the impact of enhanced glycolysis in metabolic homeostasis. Enhanced glycolysis in skeletal muscle promoted accelerated glucose disposal, a lean phenotype and a high metabolic rate in mice despite attenuated lipid metabolism in muscle, even under High-Fat diet (HFD). Further study revealed that the glucose metabolite sensor carbohydrate-response element-binding protein (ChREBP) was activated in the highly glycolytic muscle and stimulated the elevation of plasma fibroblast growth factor 21 (FGF21), possibly mediating enhanced lipid oxidation in adipose tissue and contributing to a systemic effect. PFKFB3 was critically involved in promoting the glucose-sensing mechanism in myocytes. Thus, a high level of glycolysis in skeletal muscle may be intrinsically coupled to distal lipid metabolism through intracellular glucose sensing. This study provides novel insights for the benefit of resistance training and for manipulating insulin-independent glucose metabolism. Show less
📄 PDF DOI: 10.1111/jcmm.16698
MLXIPL