👤 Xiuhong 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, Qidong 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, 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
Mette H Jensen, Lærke S Gasbjerg, Kirsa Skov-Jeppesen +25 more · 2025 · The Journal of clinical endocrinology and metabolism · added 2026-04-24
About 30% of patients with active acromegaly experience paradoxically increased growth hormone (GH) secretion during the diagnostic oral glucose tolerance test (OGTT). Endogenous glucose-dependent ins Show more
About 30% of patients with active acromegaly experience paradoxically increased growth hormone (GH) secretion during the diagnostic oral glucose tolerance test (OGTT). Endogenous glucose-dependent insulinotropic polypeptide (GIP) is implicated in this paradoxical secretion. We used the GIP receptor (GIPR) antagonist GIP(3-30)NH2 to test the hypothesis that GIP mediates this paradoxical response when GIPR is abundantly expressed in somatotropinomas. A total of 25 treatment-naive patients with acromegaly were enrolled. Each patient underwent one OGTT during simultaneous placebo infusion and one OGTT during a GIP(3-30)NH2 infusion. Blood samples were drawn at baseline and regularly after infusions to measure GH. We assessed pituitary adenoma size by magnetic resonance imaging and GIPR expression by immunohistochemistry on resected somatotropinomas. For mechanistic confirmation, we applied in vitro and ex vivo approaches. The main outcome measure was the effect of GIP(3-30)NH2 on paradoxical GH secretion during OGTT as a measure of GIP involvement. In 4 of 7 patients with paradoxical GH secretion, GIP(3-30)NH2 infusion completely abolished the paradoxical response (P = .0003). Somatotrophs were available from 3 of 4 of these patients, all showing abundant GIPR expression. Adenoma size did not differ between patients with and without paradoxical GH secretion. Of 25 patients with acromegaly, 7 had paradoxical GH secretion during OGTT, and pharmaceutical GIPR blockade abolished this secretion in 4. Corresponding somatotroph adenomas abundantly expressed GIPR, suggesting a therapeutic target in this subpopulation of patients. In vitro and ex vivo analyses confirmed the role of GIP and the effects of the antagonist. Show less
📄 PDF DOI: 10.1210/clinem/dgae583
GIPR
Wenbo Feng, Qingtong Zhou, Chang Zheng +2 more · 2025 · Structure (London, England : 1993) · Elsevier · added 2026-04-24
The constitutive activity of melanocortin receptors (MCRs) is integral to several physiological processes. The unliganded cryo-electron microscopy structures of MC1R, MC2R, MC3R, MC4R, and MC5R in com Show more
The constitutive activity of melanocortin receptors (MCRs) is integral to several physiological processes. The unliganded cryo-electron microscopy structures of MC1R, MC2R, MC3R, MC4R, and MC5R in complex with G Show less
no PDF DOI: 10.1016/j.str.2025.03.004
MC4R
Lin Ai, Yi Han, Ting Ge +14 more · 2025 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Some individuals are more susceptible to developing or suffering from pain states than others. However, the brain mechanisms underlying the susceptibility to pain responses are unknown. In this study, Show more
Some individuals are more susceptible to developing or suffering from pain states than others. However, the brain mechanisms underlying the susceptibility to pain responses are unknown. In this study, we defined pain susceptibility by recapitulating inter-individual differences in pain responses in mice exposed to a paradigm of socially transferred allodynia (STA), and with a combination of chemogenetic, molecular, pharmacological and electrophysiological approaches, we identified GABA-ergic neurons in the dorsal raphe nucleus (DRN) as a cellular target for the development and maintenance of STA susceptibility. We showed that DRN GABA-ergic neurons were selectively activated in STA-susceptible mice when compared with the unsusceptible (resilient) or control mice. Chemogenetic activation of DRN GABA-ergic neurons promoted STA susceptibility; whereas inhibiting these neurons prevented the development of STA susceptibility and reversed established STA. In in vitro slice electrophysiological analysis, we demonstrated that melanocortin 4 receptor (MC4R) enriched in DRN GABA-ergic neurons was a molecular target for regulating pain susceptibility, possibly by affecting DRN GABA-ergic neuronal activity. These results establish the DRN GABA-ergic neurons as an essential target for controlling pain susceptibility, thus providing important information for developing conceptually innovative and more accurate analgesic strategies. Show less
no PDF DOI: 10.1038/s41401-025-01494-x
MC4R
Yu Zhang, Chen Chen, Tianhang Zhu +3 more · 2025 · PloS one · PLOS · added 2026-04-24
Glucocorticoids play a pivotal role in tumorigenesis and cancer progression. However, the prognostic significance of glucocorticoid signaling-related genes remains poorly understood, particularly in k Show more
Glucocorticoids play a pivotal role in tumorigenesis and cancer progression. However, the prognostic significance of glucocorticoid signaling-related genes remains poorly understood, particularly in kidney renal clear cell carcinoma (KIRC). Collected samples indicated KIRC patients exhibited elevated serum glucocorticoid levels compared to healthy donors (P < 0.05). Glucocorticoid signaling-related genes were curated from the MSigDB database. The TCGA-KIRC cohort was utilized for training, while 7 independent public KIRC cohorts and local samples were employed for validation. Through LASSO and random forest analyses, ACADM, ANGPTL4, and NFKB2 were identified and subsequently incorporated into a multivariate Cox regression model. This gene signature emerged as a robust prognostic indicator across multiple cohorts (pooled hazard ratio [HR] = 2.73, 95% confidence interval [CI] = 2.05-3.65). In local samples, KIRC tissues exhibited increased infiltration of NFKB2+ cells and decreased levels of ACADM+ and ANGPTL4+ cells (all P < 0.05). Meta-analyses and spatial transcriptomics revealed a positive association between the signature and CD8+ T cell infiltration. Furthermore, the signature was associated with T cell exhaustion levels and could predict immunotherapeutic responses in both computational simulations and real-world clinical settings (all P < 0.05). In vivo experiments showed that NFKB2 knockdown inhibited tumor growth and the expansion of CD8+PDCD1+ T cells, effects that were reversible with corticosterone treatment (all P < 0.05). Collectively, a glucocorticoid signaling-related gene signature was developed and rigorously validated as a predictive tool for prognosis and immunotherapeutic response in KIRC, offering valuable insights for guiding personalized treatment strategies. Show less
📄 PDF DOI: 10.1371/journal.pone.0334104
ANGPTL4
Wanshi Li, Weiwei Pei, Yiwei Wang +16 more · 2025 · British journal of cancer · Nature · added 2026-04-24
In recent years, there has been a steady increase in professionals engaged in radioactive work. The biological impacts of long-term exposure to low dose-rate radiation remain elusive, as there is a de Show more
In recent years, there has been a steady increase in professionals engaged in radioactive work. The biological impacts of long-term exposure to low dose-rate radiation remain elusive, as there is a dearth of systematic research in this field. BEAS-2B cells were used to establish a cell model with continuous passaging after radiation exposure, which was subsequently subjected to in vivo tumorigenesis assays and in vitro malignant phenotype experiments. By scRNA-seq, we conducted copy number variation analysis, cell trajectory analysis, and cell communication analysis. Furthermore, we used FACS, molecular docking, multiplex immunohistochemistry, qRT-PCR, and co-immunoprecipitation to validate and further explore the molecular mechanisms driving tumor evolution. Long-term low dose-rate exposure is associated with a higher degree of malignancy, as evidenced by the induction of more CNV and EMT events, as well as the delayed activation of DNA repair pathways, which trigger increased genomic instability. The long-term low dose-rate specific ligand-receptor pair, ANGPTL4-SDC4, enhances cell malignancy by promoting angiogenesis in newly formed lung tumor cells. This study not only provides the first evidence and mechanistic explanation that long-term low dose-rate radiation leads to increased cellular malignancy but also offers valuable theoretical insights into the dynamic processes of early tumor evolution in lung cancer within the realm of tumor biology. Show less
no PDF DOI: 10.1038/s41416-025-03128-9
ANGPTL4
Qing Li, Zhenyu Zhou, Xiaoying Li +1 more · 2025 · Mutation research · Elsevier · added 2026-04-24
Cervical cancer (CC) is a major cause of morbidity and mortality in women, with complex etiology and progression. Diacylglycerol kinases (DGKs) are pivotal in lipid metabolism. Although diacylglycerol Show more
Cervical cancer (CC) is a major cause of morbidity and mortality in women, with complex etiology and progression. Diacylglycerol kinases (DGKs) are pivotal in lipid metabolism. Although diacylglycerol kinase beta (DGKβ) is well-studied in neurology, its role in cancer, especially CC, remains underexplored. This study aimed to explore DGKβ's role and mechanism in CC. Bioinformatics analysis was employed to identify genes differentially expressed in CC, with western blot confirming DGKβ expression in CC cells. The role of DGKβ was examined through small interfering RNA-mediated gene silencing, proliferation tests, migration and invasion assays, and angiogenesis studies. In-depth bioinformatics explored DGKβ-regulated downstream targets and pathways. Pathological assessment elucidated the impact of DGKβ and angiopoietin 4 (ANGPT4) on CC samples. Our data identified DGKβ as a promising candidate gene in the context of CC. This conclusion stemmed from the notable observation that DGKβ exhibited a heightened expression in CC cell lines. Notably, the silencing of DGKβ resulted in the suppression of CC cell proliferation, invasion, migration, as well as the epithelial-mesenchymal transition processes. Additional bioinformatics analysis delving into DGKβ-associated genes revealed ANGPT4 as a downstream target gene of DGKβ, which is capable of modulating angiogenesis and possesses multiple cellular functions related to cell survival, proliferation, and migration. Most significantly, our findings also demonstrated that both DGKβ and ANGPT4 were overexpressed in clinical specimens of CC. This study uncovered an oncogenic role for DGKβ in CC and identified a potential regulatory link between DGKβ and ANGPT4 in tumor angiogenesis. These findings provided promising directions for developing new diagnostic and therapeutic approaches for CC. Show less
no PDF DOI: 10.1016/j.mrfmmm.2025.111913
ANGPTL4
Xiangwu Zhang, Rongxian Zhou, Guangqiang Zhao +5 more · 2025 · Discover oncology · Springer · added 2026-04-24
This study aims to establish a hypoxia-immune-related gene signature within the tumor microenvironment (TME) to reliably predict prognosis in non-small cell lung cancer (NSCLC). Transcriptomic profile Show more
This study aims to establish a hypoxia-immune-related gene signature within the tumor microenvironment (TME) to reliably predict prognosis in non-small cell lung cancer (NSCLC). Transcriptomic profiles and clinical data of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases (GSE74777, GSE68465). Hypoxia- and immune-related genes were curated from MSigDB, ImmPort, and INATDB. Prognostic genes were identified via Cox and LASSO regression analyses, and a risk model was constructed. Model validity was assessed through Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, and external validation. An eight-gene prognostic signature (AKAP12, MT2A, SERPINE1, CD1E, CD79A, CXCL13, XCL2, ANGPTL4) was established. The model demonstrated significant predictive accuracy for NSCLC survival (AUC: 0.643/0.649/0.620 at 1/3/5 years in TCGA cohort). Patients with high immune activity exhibited superior survival outcomes compared to those with low-immune counterparts (log-rank P < 0.001). Multivariate Cox regression confirmed the risk score as an independent prognostic factor (HR = 1.82, 95% CI: 1.44-2.30, P < 0.001). The hypoxia-immune microenvironment signature serves as a robust prognostic classifier for NSCLC, providing a quantitative framework for personalized risk stratification and clinical decision support. Show less
📄 PDF DOI: 10.1007/s12672-025-03319-z
ANGPTL4
Ying Qi, Changqi Zhou, Bing Chen · 2025 · PloS one · PLOS · added 2026-04-24
Sepsis-induced acute lung injury (ALI) constitutes a critical clinical syndrome associated with high mortality rates, yet its molecular mechanisms remain inadequately elucidated. Recent evidence indic Show more
Sepsis-induced acute lung injury (ALI) constitutes a critical clinical syndrome associated with high mortality rates, yet its molecular mechanisms remain inadequately elucidated. Recent evidence indicates that ANGPTL4 may influence inflammatory responses and endothelial barrier integrity; however, its cell-specific regulatory mechanisms in sepsis-associated ALI are not well understood. This study utilizes transcriptome profiling combined with single-cell sequencing to systematically analyze the spatiotemporal expression patterns and functional networks of ANGPTL4 during the progression of ALI. Gene expression profiles from acute lung injury patients were obtained from the Gene Expression Omnibus (GEO) database. Single-cell and intercellular communication analyses identified candidate gene sets. GSEA examined gene-immune cell relationships, while gene enrichment analysis explored key gene mechanisms. miRNA networks identified target miRNAs for these key genes. Molecular docking with AutoDock and the CTD database predicted drugs interacting with ANGPTL4. Additionally, in vitro experiments confirmed the Angptl4 gene expression level in sepsis-induced acute lung injury. Angptl4 is a crucial marker for acute lung injury progression, potentially affecting pathways like the pentose phosphate pathway, fatty acid degradation, and PPAR signaling. It may interact with Q9BY76-Quercetin, but this requires further investigation. In vitro studies show a notable increase in Angptl4 expression compared to controls. The increased expression of ANGPTL4 may influence disease progression through mechanisms involving fatty acid metabolism, PPAR signaling, and the pentose phosphate pathway in murine models. Furthermore, its dual role in regulating inflammation through interactions with both pro-inflammatory and anti-inflammatory cells underscores its pivotal contribution to the pathogenesis of acute lung injury (ALI), thereby supporting the development of targeted therapies for sepsis-induced lung injury. Show less
📄 PDF DOI: 10.1371/journal.pone.0328551
ANGPTL4
Bolun Li, Yanjiang Xing, Yitian Zhou +10 more · 2025 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Animal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompl Show more
Animal models are used widely to study pulmonary hypertension (PH). The cell populations that respond to disease-inducing stimuli in these models and their relationship to human disease remain incompletely defined. This study analyzed the relationship between several rodent models of PH and human disease at single-cell resolution. scRNA-seq was performed on lungs from mice exposed to hypoxia or Sugen/hypoxia, rats exposed to monocrotaline, and controls. A cross-species single-cell dataset was integrated with human lung cell atlas (HLCA) and single-cell dataset from idiopathic pulmonary arterial hypertension (IPAH) to identify overlapping cell subsets between experimental and human disease and species. High levels of overlap were found between species and models of PH, HLCA, and IPAH datasets. Cell subsets perturbed in rat and mouse PH were similar to those found in human disease, with macrophages and endothelial cells being most affected. A novel We established a comprehensive cross-species single-cell atlas of mainstream rodent PH models, highlighting several novel macrophage and endothelial subtypes and signaling motifs potentially contributing to human disease. Show less
no PDF DOI: 10.1101/2025.04.30.651587
ANGPTL4
Xiaobin Mai, Le Wang, Juan Tu +13 more · 2025 · Genes & diseases · Elsevier · added 2026-04-24
📄 PDF DOI: 10.1016/j.gendis.2025.101681
ANGPTL4
Swayam Prakash Srivastava, Han Zhou, Rachel Shenoi +13 more · 2025 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
The role of cell-specific ANGPTL4 is not well known in the context of ECs, specifically in pathological angiogenesis and its relation to diabetic kidney disease. Here, we demonstrate that endothelial Show more
The role of cell-specific ANGPTL4 is not well known in the context of ECs, specifically in pathological angiogenesis and its relation to diabetic kidney disease. Here, we demonstrate that endothelial ANGPTL4 is required to induce a metabolic phenotype that favors mesenchymal activation in ECs and tubules in diabetic conditions. Diabetes accelerates mesenchymal activation and fibrogenesis in control mice however, the same effects were not observed in endothelial-cell specific knock out mice. This mesenchymal activation in diabetes is directly linked with pathological neovascularization, endothelial leakage, lipid and glycolysis metabolite load, de novo lipogenesis (DNL) and related mitochondrial damage, activation of the immune system, c-GAS-STING activation and transcription of pro-inflammatory cytokines. However, endothelial ANGPTL4-depleted mice had stable vessels, improved levels of lipid and glucose metabolism, suppressed levels of DNL, restored mitochondrial function, and mitigated levels of c-GAS-STING-mediated inflammation. Moreover, Inhibition of DNL, and STING via small molecule inhibitors suppressed pathological neovascularization and endothelial leakage, normalized fatty acid oxidation and reduced pathological glycolysis and de novo lipogenesis (DNL). These data demonstrate the crucial roles of endothelial ANGPTL4 in regulating pathogenic angiogenesis in the renal vasculature during diabetes. Show less
📄 PDF DOI: 10.1101/2025.05.08.652142
ANGPTL4
Shenghui Zhou, Beibei Bi, Ze Wu +4 more · 2025 · Placenta · Elsevier · added 2026-04-24
Proper regulation of extravillous trophoblast (EVT) cell invasion is critical for normal placental development and function. Angiopoietin-like 4 (ANGPTL4), a multifunctional protein, has previously be Show more
Proper regulation of extravillous trophoblast (EVT) cell invasion is critical for normal placental development and function. Angiopoietin-like 4 (ANGPTL4), a multifunctional protein, has previously been implicated in promoting EVT cell invasion. Growth differentiation factor-8 (GDF-8), a member of the transforming growth factor-β (TGF-β) superfamily, also stimulates EVT cell invasion. However, it remains unclear whether GDF-8 regulates ANGPTL4 expression and how this regulation contributes to the invasive behavior of human EVT cells. This study aims to explore the role of ANGPTL4 in GDF-8-induced EVT cell invasion and to uncover the underlying molecular mechanisms. The immortalized EVT cell line HTR-8/SVneo and primary human EVT cells were used as in vitro models. The effects of GDF-8 on ANGPTL4 expression and the underlying signaling mechanisms were investigated using RT-qPCR and Western blot analysis. Cell viability was assessed using the MTT assay, and cell invasiveness was examined using a Matrigel-coated transwell invasion assay. Our results demonstrated that GDF-8 increased ANGPTL4 expression. Mechanistically, we found that activin receptor-like kinases 4 and 5 (ALK4 and ALK5) were required for GDF-8-mediated upregulation of ANGPTL4. Additionally, both SMAD2 and SMAD3 were involved in this regulatory pathway. We further showed that GDF-8 treatment promoted cell invasion without affecting cell viability. The pro-invasive effect of GDF-8 was attenuated by ANGPTL4 knockdown, whereas ANGPTL4 overexpression alone enhanced cell invasiveness. This study reveals a novel role for GDF-8 in regulating ANGPTL4 expression and EVT cell invasion, offering new insights into placental development and potential implications for pregnancy-related disorders. Show less
no PDF DOI: 10.1016/j.placenta.2025.05.021
ANGPTL4
Yukun Li, Anbo Gao, Wenchao Zhou +6 more · 2025 · Scientific reports · Nature · added 2026-04-24
Palmitic acid (PA), being the most prevalent free fatty acid in the human, holds significant implications as a risk factor for atherosclerosis (AS) due to its ability to induce physiological dysfuncti Show more
Palmitic acid (PA), being the most prevalent free fatty acid in the human, holds significant implications as a risk factor for atherosclerosis (AS) due to its ability to induce physiological dysfunction in endothelial cells (ECs). Endothelial cell-specific molecule 1 (ESM1), has been identified as a marker for activated ECs. Nevertheless, the mechanisms underlying ESM1-induced endothelial cell proliferation remain elusive. The expression of ESM1, ANGPTL4 and autophagy related protein were confirmed by western blot. Proliferation ability was tested by MTT and EdU. Lipids level was confirmed by Oil red staining. Autophagic flux was confirmed by Monodansylcadaverine (MDC) staining and pCMV-mCherry-GFP-LC3B fluorescence staining assay. The mouse model of AS was used to observe the effect of PA on the ESM1-ANGPTL4-autophagy signaling axis. This study elucidates ESM1-ANGPTL4 axis in maintaining proliferation of ECs and lipid reprogramming. Furthermore, it has been observed that PA has the ability to stimulate EC to autonomously increase the expression of ESM1, which in turn can counteract the detrimental effects of PA on ECs. Conversely, when ESM1 is suppressed, the damaging effects of PA on ECs are exacerbated. Mechanistically, our findings indicate that ESM1 facilitates EC proliferation and lipids homeostasis by up-regulating autophagy through ANGPTL4. This effect of ESM1 on ECs can be attenuated by ATG7 inhibiting. Additionally, the serum levels of ESM1 were found to be elevated in AS mice. ESM1 was found to enhance ECs proliferation and mitigate endothelial cell injury induced by PA through the upregulation of autophagy. This mechanism potentially serves as a protective factor against atherosclerosis progression. Show less
📄 PDF DOI: 10.1038/s41598-025-00581-7
ANGPTL4
Dilin Xu, Jin Lu, Yanfang Yang +11 more · 2025 · Atherosclerosis · Elsevier · added 2026-04-24
Calcific aortic valve disease (CAVD) is characterized by progressive leaflet thickening and calcification, with no available pharmacological treatments. Plasma proteins play a pivotal role in disease Show more
Calcific aortic valve disease (CAVD) is characterized by progressive leaflet thickening and calcification, with no available pharmacological treatments. Plasma proteins play a pivotal role in disease regulation. This study aimed to uncover novel therapeutic targets for CAVD using Mendelian randomization (MR) integrated with transcriptomic analysis. Protein quantitative trait loci (pQTL) from the deCODE and UK Biobank Pharma Proteomics Project (UKB-PPP) plasma protein databases were used as exposure data. The FinnGen cohort (9870 cases, 402,311 controls) served as the discovery set, while the TARGET cohort (13,765 cases, 640,102 controls) provided validation. MR and summary data-based Mendelian randomization (SMR) were employed to screen for potential causal targets of CAVD. Colocalization analysis was conducted to assess whether CAVD and target proteins shared common causal SNPs. Additional analyses included trancriptomic profiling at multiple RNA levels. Protein-level validation was conducted via Western blot and immunostaining. Six proteins (ANGPTL4, PCSK9, ITGAV, CTSB, GNPTG, and FURIN) with strong genetic colocalization were identified by MR and SMR analysis. Among these, cellular trancriptomic analysis revealed ANGPTL4 and ITGAV with significantly greater expression in osteogenic group, which was further validated in calcified aortic valves and osteogenic valvular interstitial cells in protein level. This study identified six causal proteins with strong genetic colocalization for CAVD, with ANGPTL4 and ITGAV emerging as the most promising targets for further investigation. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2025.119110
ANGPTL4
Yiliang Zhang, Shengyang Zhou, Runming Zhao +4 more · 2025 · Journal of lipid research · Elsevier · added 2026-04-24
Triglyceride-rich lipoproteins carry lipids in the bloodstream, where the fatty acid moieties are liberated by lipoprotein lipase (LPL) and taken up by peripheral tissues such as brown adipose tissue Show more
Triglyceride-rich lipoproteins carry lipids in the bloodstream, where the fatty acid moieties are liberated by lipoprotein lipase (LPL) and taken up by peripheral tissues such as brown adipose tissue (BAT) and white adipose tissue (WAT), whereas the remaining cholesterol-rich remnant particles are cleared mainly by the liver. Elevated triglyceride (TG) levels and prolonged circulation of cholesterol-rich remnants are risk factors for cardiovascular diseases. Acute cold exposure decreases postprandial TG levels and is a potential therapeutic approach to treat hypertriglyceridemia. However, how acute cold exposure regulates TG metabolism remains incompletely understood. In the current study, we found that acute cold exposure simultaneously increases postprandial very-low-density lipoprotein production and TG clearance, with the latter playing a dominant role and resulting in decreased TG levels. Acute cold exposure increases LPL activity and TG uptake in BAT, while suppressing LPL activity and TG uptake in WAT. Mechanistically, acute cold exposure increases BAT LPL activity through transcriptional upregulation of Lpl and posttranscriptional regulation via inhibiting the hepatic insulin-ANGPTL8-ANGPTL3 axis, while suppressing WAT LPL activity through upregulation of ANGPTL4. Angptl8 knockout mice have dramatically decreased levels of circulating TG. In the absence of ANGPTL8, acute cold exposure increases rather than decreases circulating TG levels. Thus, our study reveals multilayered regulation of acute cold response and postprandial TG metabolism, highlighting the key functions of ANGPTL3, 4, and 8 in response to acute cold exposure. Show less
📄 PDF DOI: 10.1016/j.jlr.2025.100751
ANGPTL4
Yu Gan, Kangning Wang, Xiang Chen +4 more · 2025 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Renal fibrosis is a common pathological process in various chronic kidney diseases. The accumulation of senescent renal tubular epithelial cells (TECs) in renal tissues plays an important role in the Show more
Renal fibrosis is a common pathological process in various chronic kidney diseases. The accumulation of senescent renal tubular epithelial cells (TECs) in renal tissues plays an important role in the development of renal fibrosis. Eliminating senescent TECs has been proven to effectively reduce renal fibrosis. Procyanidin C1 (PCC1) plays a senolytic role by specifically eliminating senescent cells and extending its overall lifespan. However, whether PCC1 can alleviate unilateral ureteral obstruction (UUO)-induced renal fibrosis and the associated therapeutic mechanisms remains unclear. Here, we observed a marked increase in senescent TECs within obstructed human renal tissue and demonstrated the positive correlation between the accumulation of senescent TECs and renal fibrosis in UUO-induced renal fibrosis in mice. We found that PCC1 reduced the number of senescent TECs, restored the regenerative phenotype in kidneys with reduced fibrosis, and improved tubular repair after UUO-induced injury. In vitro, PCC1 effectively cleared senescent HK2 cells by inducing apoptosis via ANGPTL4/NOX4 signaling. Incubation with culture medium from senescent HK2 cells promoted fibroblast activation, whereas PCC1 impeded profibrotic effects by downregulating senescence-associated secretory phenotype (SASP) factors from senescent HK2 cells. Therefore, PCC1 alleviated interstitial renal fibrosis not only by clearing senescent TECs and improving tubular repair but also by indirectly attenuating myofibroblast activation by reducing the level of SASP. In summary, PCC1 may be a novel therapeutic senolytic agent for treating renal fibrosis. Show less
no PDF DOI: 10.1096/fj.202402558R
ANGPTL4
Yiliang Zhang, Shengyang Zhou, Runming Zhao +2 more · 2025 · Life metabolism · Oxford University Press · added 2026-04-24
Graphical Abstract Lipoprotein lipase (LPL) mediates peripheral tissue triglyceride (TG) uptake. Hepatic ANGPTL3 (A3) and ANGPTL8 (A8) form a complex and inhibit LPL activity in the white adipose tiss Show more
Graphical Abstract Lipoprotein lipase (LPL) mediates peripheral tissue triglyceride (TG) uptake. Hepatic ANGPTL3 (A3) and ANGPTL8 (A8) form a complex and inhibit LPL activity in the white adipose tissue (WAT) via systematic circulation. ANGPTL4 (A4) is expressed in WAT and inhibits LPL activity locally. Feeding increases hepatic A8 expression and increases its inhibition for WAT LPL activity together with A3, while feeding suppresses WAT A4 expression and releases its inhibition on LPL. At room temperature, the feeding-suppressed A4 overrides the feeding-increased A3/A8, resulting in increased LPL activity in WAT by food intake. Browning improves hepatic insulin sensitivity and increases postprandial A8 expression. The feeding-increased A3/A8 overrides the feeding-suppressed A4, resulting in suppressed LPL activity in WAT by food intake. This reprogrammed LPL regulation plays an important role in reprogramming TG metabolism during adipose tissue browning. Show less
📄 PDF DOI: 10.1093/lifemeta/loae037
ANGPTL4
Tong Chen, Jiawei Zhou, Mengfan Li +9 more · 2025 · BMC genomics · BioMed Central · added 2026-04-24
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still uncl Show more
Pork serves as a significant meat commodity, with intramuscular fat (IMF) content being a critical determinant of its quality. However, the epigenetic mechanism of porcine IMF deposition is still unclear. This study integrated proteomics and lactylation profiles from the longissimus thoracis (LT) muscles of pigs with extremely high (IMF_H) and extremely low (IMF_L) IMF content to clarify the association between lactylation and porcine fat deposition. Furthermore, an intramuscular preadipocyte induction and differentiation model was conducted to elucidate the changes in lactylation during adipocyte differentiation. Finally, the regulatory role of lactylation in adipocyte differentiation was explored by modulating lactate production during the induction and differentiation of preadipocytes. Proteomic analysis revealed significantly increased expression of key lipid metabolism related proteins (FASN, APOA4, FABP4, ACLY, PLIN1) in IMF_H pig muscle tissues compared with IMF_L tissues, along with substantial activation of lipid metabolism pathways. Lactylation profiling identified 95 differential lysine sites across 56 proteins, with most showing lower lactylation levels in the IMF_H group. The integrative omics analysis revealed differences in lactylation profiles in porcine LT tissues with varying efficiencies of IMF deposition, highlighted PGK1, PKM, and PYGM as central lactylation-modified proteins in porcine fat deposition regulation. Further in vitro study proved that lactate-mediated lactylation inhibited adipogenic differentiation of porcine intramuscular preadipocytes through PPARγ signaling pathway. This study clarified the changes in the lactylation profile in porcine LT tissues with varying efficiencies of IMF deposition, and demonstrated that lactate-mediated lactylation inhibits the PPARγ signaling pathway and the adipogenic differentiation of porcine intramuscular preadipocyte. This study provided a new insight to understanding the epigenetic regulation mechanisms of lipid deposition in pigs. Show less
📄 PDF DOI: 10.1186/s12864-025-12428-6
APOA4
Chengli Yu, Xin Huang, Yating Cao +7 more · 2025 · Frontiers in molecular biosciences · Frontiers · added 2026-04-24
Colorectal cancer (CRC) is one of the leading causes of cancer-related death, and most CRCs arise from colorectal adenomas. Early detection and removal of precancerous lesions during the adenoma-carci Show more
Colorectal cancer (CRC) is one of the leading causes of cancer-related death, and most CRCs arise from colorectal adenomas. Early detection and removal of precancerous lesions during the adenoma-carcinoma sequence can significantly reduce CRC risk. However, current clinical practice lacks rapid, noninvasive screening tools for reliable adenoma detection. Proteomic analysis was performed on serum samples from patients with inflammatory polyps (non-neoplastic), patients with adenomas, and healthy controls to identify key differentially expressed proteins capable of distinguishing adenoma patients. The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma. In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. These candidates were subsequently validated in a third cohort using ELISA. The ELISA results for APOA4 were discordant with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) findings. In contrast, FLNA levels measured by ELISA showed a progressive decrease from healthy controls to patients with inflammatory polyps and further to those with adenomas. We propose FLNA as a potential biomarker for the diagnosis of colorectal adenomas. The areas under the ROC curves exceeded 0.7 for both key clinical comparisons: 0.810 for adenomas versus healthy controls, and 0.734 for adenomas versus inflammatory polyps. Overall, this study not only enhances our understanding of the serum proteome in colorectal adenoma but also identifies FLNA as a promising biomarker for its clinical diagnosis. Show less
📄 PDF DOI: 10.3389/fmolb.2025.1628587
APOA4
Shuang Wang, Danyang Li, Xin Zhang +2 more · 2025 · BMC nephrology · BioMed Central · added 2026-04-24
The aim of this study is to explore the quantity profiles of amyloid signature proteins (serum amyloid P component, SAP; apolipoprotein E, ApoE; apolipoprotein A-IV) in common types of renal amyloidos Show more
The aim of this study is to explore the quantity profiles of amyloid signature proteins (serum amyloid P component, SAP; apolipoprotein E, ApoE; apolipoprotein A-IV) in common types of renal amyloidosis by mass spectrometry and immunostaining methods. Twenty-one patients with renal amyloidosis of different types evaluated at the Renal Pathological Center of Peking University First Hospital from 2000 to 2021 were enrolled. Immunohistochemistry (IHC) and laser microdissection combining with mass spectrometry (LMD-MS) were applied to investigate the localization and quantity profiles of signature proteins in renal amyloidosis. The co-localization relationships among signature proteins and amyloid fibrils, as well as the ultrastructural localization of SAP were examined by laser scanning confocal microscopy (LSCM) and immuno-electron microscopy (IEM), respectively. By MS-based proteomic analysis, large spectra numbers of ApoE and its higher abundance were noted in four types of amyloidosis when compared with SAP, and ApoA-IV was absent in ALECT2 amyloidosis. LSCM showed ApoE and SAP co-localized with amyloid fibrils in renal AL-κ, AL-λ and ALECT2 amyloidosis. ApoA-IV co-localized with amyloid fibrils in AL-κ and AL-λ amyloidosis, but was not found in ALECT2 amyloidosis. By semi-quantitative analysis based on LSCM and IEM, the quantity levels of signature proteins in AL-κ appeared to be lower than that in AL-λ (P < 0.05) or ALECT2 (P < 0.05), while there was no significant difference between AL-λ and ALECT2 amyloidosis. Both of SAP and ApoE were the ubiquitous signature components of renal amyloidosis (AL, AA, ALECT2), as well as ApoA-IV in AL and AA, but not in ALECT2. ApoE was the key signature protein in renal amyloidosis. The quantity levels of signature proteins investigated through LCSM/IEM demonstrated variability among different types, with AL-κ amyloidosis appeared to have a lower level. Not applicable. Show less
📄 PDF DOI: 10.1186/s12882-025-04477-6
APOA4
Yuan Cai, Rong Huang, Tianfeng Lin +6 more · 2025 · Molecules (Basel, Switzerland) · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/molecules30183727
APOA4
Yang Wei, Ting Zhang, Yingying Jin +4 more · 2025 · Acta biochimica et biophysica Sinica · added 2026-04-24
Obesity-induced metabolic inflammation is a key driver of chronic kidney disease (CKD), with immune dysregulation, particularly among lymphocytes, contributing to early disease pathology. To explore t Show more
Obesity-induced metabolic inflammation is a key driver of chronic kidney disease (CKD), with immune dysregulation, particularly among lymphocytes, contributing to early disease pathology. To explore the role of apolipoprotein A4 (Apoa4) in regulating immune cell metabolism and function, we establish high-fat diet-induced obese (DIO) models using wild-type and Show less
📄 PDF DOI: 10.3724/abbs.2025171
APOA4
Kaijuan Wang, Ruichen Liu, Li Li +7 more · 2025 · Analytica chimica acta · Elsevier · added 2026-04-24
The treatment and prognosis of cardiac amyloidosis (CA) depend heavily on the accurate identification of amyloid protein types. Histopathological methods are the most commonly used approach, but often Show more
The treatment and prognosis of cardiac amyloidosis (CA) depend heavily on the accurate identification of amyloid protein types. Histopathological methods are the most commonly used approach, but often produce inconclusive results. The application of mass spectrometry with laser microdissection mass spectrometry based on non-targeted proteomics in CA diagnosis is gradually being recognized, but it is expensive, time-consuming, and still in the early stages of scientific research applications. This study aims to establish a novel typing method based on targeted semi-quantitative proteomics to address the shortcomings of existing methods. Formalin-fixed, paraffin-embedded (FFPE) myocardial tissue samples from 52 CA and 52 hypertrophic cardiomyopathy (HCM) patients were analyzed. A semi-quantitative typing method was developed using triple quadrupole mass spectrometry, with laser microdissection mass spectrometry (LMD-MS) serving as the reference standard. A total of 52 peptides were analyzed. Key amyloid-associated proteins (AAPs) -apolipoprotein A-IV (apo A-IV), apolipoprotein E (apo E), and serum amyloid P component (SAP) - showed high diagnostic accuracy, with AUC values of 0.964, 0.999, and 0.923, respectively. Transthyretin (TTR), immunoglobulin light chains- κ (IGL - κ), and IGL-λ were semi-quantified using normalized scores (NS) adjusted for microdissection and peptide peak areas. An NS This targeted semi-quantitative mass spectrometry method has high consistency with non-targeted LMD-MS typing, with an accuracy higher than IHC (100 % vs. 30.8 %), while compensating for the shortcomings of non-targeted proteomics. It provides a practical method for CA typing in routine clinical laboratories and may help identify rare subtypes of amyloidosis in the future. Show less
no PDF DOI: 10.1016/j.aca.2025.344453
APOA4
Cheehoon Ahn, Ian Tamburini, James A Sanford +25 more · 2025 · Molecular metabolism · Elsevier · added 2026-04-24
Declines in skeletal muscle and cognitive function in older adults have been linked to abnormalities in abdominal subcutaneous adipose tissue (ASAT), yet the underlying molecular mediators remain poor Show more
Declines in skeletal muscle and cognitive function in older adults have been linked to abnormalities in abdominal subcutaneous adipose tissue (ASAT), yet the underlying molecular mediators remain poorly understood. Here, leveraging ASAT transcriptomics and explant-conditioned media proteomics from participants in the Study of Muscle, Mobility and Aging (SOMMA; age ≥70 years, n = 229), we identified ASAT gene clusters and secreted proteins strongly associated with comprehensive assessments of physical and cognitive function in older adults. ASAT inflammation and secreted immunoglobulins were identified as key signatures of aging-associated physical and cognitive performance limitations. Systems genetics analysis confirmed secreted-SERPINF1 as a negative regulator of skeletal muscle contraction and highlighted its potential role in inducing inflammation in the heart in silico. Additionally, novel ASAT-secreted proteins such as NID2 and APOA4 were implicated in mediating ASAT crosstalk with skeletal muscle and brain in silico. Our framework provides insights into ASAT-driven tissue crosstalk underlying physical and cognitive performance in older adults and offers a valuable resource for understanding the role of ASAT in human aging. Show less
📄 PDF DOI: 10.1016/j.molmet.2025.102213
APOA4
Liping Xiang, Bing Zhou, Yunchen Luo +3 more · 2025 · Chinese medical journal · added 2026-04-24
Gluconeogenesis is a critical metabolic pathway for maintaining glucose homeostasis, and its dysregulation can lead to glycometabolic disorders. This study aimed to identify hub biomarkers of these di Show more
Gluconeogenesis is a critical metabolic pathway for maintaining glucose homeostasis, and its dysregulation can lead to glycometabolic disorders. This study aimed to identify hub biomarkers of these disorders to provide a theoretical foundation for enhancing diagnosis and treatment. Gene expression profiles from liver tissues of three well-characterized gluconeogenesis mouse models were analyzed to identify commonly differentially expressed genes (DEGs). Weighted gene co-expression network analysis (WGCNA), machine learning techniques, and diagnostic tests on transcriptome data from publicly available datasets of type 2 diabetes mellitus (T2DM) patients were employed to assess the clinical relevance of these DEGs. Subsequently, we identified hub biomarkers associated with gluconeogenesis-related glycometabolic disorders, investigated potential correlations with immune cell types, and validated expression using quantitative polymerase chain reaction in the mouse models. Only a few common DEGs were observed in gluconeogenesis-related glycometabolic disorders across different contributing factors. However, these DEGs were consistently associated with cytokine regulation and oxidative stress (OS). Enrichment analysis highlighted significant alterations in terms related to cytokines and OS. Importantly, osteomodulin ( OMD ), apolipoprotein A4 ( APOA4 ), and insulin like growth factor binding protein 6 ( IGFBP6 ) were identified with potential clinical significance in T2DM patients. These genes demonstrated robust diagnostic performance in T2DM cohorts and were positively correlated with resting dendritic cells. Gluconeogenesis-related glycometabolic disorders exhibit considerable heterogeneity, yet changes in cytokine regulation and OS are universally present. OMD , APOA4 , and IGFBP6  may serve as hub biomarkers for gluconeogenesis-related glycometabolic disorders. Show less
📄 PDF DOI: 10.1097/CM9.0000000000003525
APOA4
Lauren Sparks, Cheehoon Ahn, Ian Tamburini +25 more · 2025 · Research square · added 2026-04-24
Declines in skeletal muscle and cognitive function in older adults have been linked to abnormalities in abdominal subcutaneous adipose tissue (ASAT), yet the underlying molecular mediators remain poor Show more
Declines in skeletal muscle and cognitive function in older adults have been linked to abnormalities in abdominal subcutaneous adipose tissue (ASAT), yet the underlying molecular mediators remain poorly understood. Here, leveraging ASAT transcriptomics and explant-conditioned media proteomics from participants in the Study of Muscle, Mobility and Aging (SOMMA; age ≥70 years, n = 229), we identified ASAT gene clusters and secreted proteins strongly associated with comprehensive assessments of physical and cognitive function in older adults. ASAT inflammation and secreted immunoglobulins were identified as key signatures of aging-associated physical and cognitive performance limitations. Systems genetics analysis confirmed secreted-SERPINF1 as a negative regulator of skeletal muscle contraction and highlighted its potential role in inducing inflammation in the heart Show less
📄 PDF DOI: 10.21203/rs.3.rs-6498803/v1
APOA4
Chun-Hao Han, Xiao-Yu Zhao, Chuan-Wen Wang +5 more · 2025 · Frontiers in veterinary science · Frontiers · added 2026-04-24
The quality of eggshells holds substantial economic significance and serves as a critical selection criterion in poultry breeding. Eggshell translucency significantly impairs their aesthetic quality, Show more
The quality of eggshells holds substantial economic significance and serves as a critical selection criterion in poultry breeding. Eggshell translucency significantly impairs their aesthetic quality, which is structurally attributed to the thinning of the eggshell membrane or reduced tensile strength. In this study, 836 dwarf white hens were selected, with 45 hens each assigned to the opaque group and the translucent group. Grading for eggshell translucency was conducted at 75, 80, and 85 weeks of age. Based on the results from these three gradings, 35 hens that consistently produced translucent eggs and 35 hens that consistently produced opaque eggs were reclassified into the translucent group and the opaque group, respectively. The thickness of the eggshell membrane, latitudinal and longitudinal tensile force and length, and other indicators related to eggshell membrane quality were measured. Correlation analysis was performed using RNA-seq genomics and DIA proteomics based on the relationships among these indicators. Transcriptome analysis revealed 179 significantly differentially expressed genes, indicating that the causes of translucent eggshells are associated with metabolism, signal transduction, the immune system, molecular binding, transport, and catabolism. Seven potential candidate genes, including Show less
📄 PDF DOI: 10.3389/fvets.2025.1583291
APOA4
Yuyan Liu, Rongjie Wei, Yong Tang +7 more · 2025 · Scientific reports · Nature · added 2026-04-24
Diabetic retinopathy (DR) is one of the major complications of diabetes, resulting in severe vision loss. Traction retinal detachment (TRD) is the main factor affecting the effect of proliferative dia Show more
Diabetic retinopathy (DR) is one of the major complications of diabetes, resulting in severe vision loss. Traction retinal detachment (TRD) is the main factor affecting the effect of proliferative diabetic retinopathy (PDR) surgery. Liquid Chromatography with tandem mass spectrometry (LC-MS/MS) was adopted to analyze the proteomes of the vitreous in the TRD, vitreous hemorrhage (VH) and macular hole (MH) groups. By employing bioinformatics tools for GO and KEGG pathway annotation, as well as conducting protein-protein interaction(PPI) network analysis, we investigated the functional enrichment of proteins in the TRD vitreous and their associated pathways. Additionally, peptide center analysis was performed on the proteomic data to identify key differentially expressed proteins based on screening results. Bioinformatics analysis showed that DEPs is mainly enriched in the complement, the coagulation cascade systems and regulation of actin cytoskeleton. The protein interaction network analysis showed that the central proteins were mainly related to sphingolipid metabolism. APOA4, CHI3L1, LTBP2 were significantly up-regulated in TRD, which were related to the complement system, coagulation cascade and platelet activation, sphingolipid metabolism and other pathways. APOA4 and CHI3L1 protein in patients with TRD group raised significantly in the vitreous humor, shows the potential biomarkers for TRD. Show less
📄 PDF DOI: 10.1038/s41598-025-98327-y
APOA4
Song Luo, Xiaorui Wang, Bo Ma +12 more · 2025 · Biomolecules & biomedicine · added 2026-04-24
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the selective death of motor neurons in the spinal cord, brainstem, and motor cortex. This study investigates the ef Show more
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the selective death of motor neurons in the spinal cord, brainstem, and motor cortex. This study investigates the effects of simvastatin on the G93A-copper/zinc superoxide dismutase (G93ASOD1) transgenic mouse model of ALS. The experiment included three groups: C57BL/6 wild-type mice, C57BL/6J SOD1G93A mice treated with PBS (SOD1G93A + PBS), and C57BL/6J SOD1G93A mice treated with simvastatin (SOD1G93A + simvastatin). The primary endpoints were survival rates, body weight changes, performance in pole climbing and suspension tests, and neurological deficit scores. Pathological changes were assessed using hematoxylin and eosin staining, transmission electron microscopy, Nissl staining, and Masson staining. Proteomic and metabolomic analyses were performed to identify differentially expressed proteins (DEPs) and metabolites. Quantitative real-time polymerase chain reaction and western blotting were used to measure gene expression. Although there were no significant differences in survival rates, body weight, pole climbing, and suspension test performance, or neurological deficit scores between the SOD1G93A + simvastatin and SOD1G93A + PBS groups, simvastatin treatment improved axonal organization within the spinal cord, increased the number of neurons, and reduced cytoplasmic swelling and gastrocnemius fibrosis. A total of 47 DEPs and 13 differential metabolites were identified between the SOD1G93A + PBS and SOD1G93A + simvastatin groups. Notably, the expression levels of Apoa4 and Alb were elevated in the SOD1G93A + simvastatin group compared to the SOD1G93A + PBS group. Our results suggest that simvastatin may have potential therapeutic effects in ALS, likely involving the modulation of Apoa4 and Alb expression. Show less
📄 PDF DOI: 10.17305/bb.2024.11218
APOA4
Na Liu, Hongli Zeng, Xiangsheng Cai +6 more · 2025 · Frontiers in genetics · Frontiers · added 2026-04-24
To investigate the association between polymorphisms of the A case-control study was conducted, enrolling 100 HTG patients and 100 age-matched controls with normal triglyceride levels from the physica Show more
To investigate the association between polymorphisms of the A case-control study was conducted, enrolling 100 HTG patients and 100 age-matched controls with normal triglyceride levels from the physical examination cohort at Guangzhou 11th People's Hospital (January-December 2023) The observation group showed significant differences in genotype frequencies of Show less
📄 PDF DOI: 10.3389/fgene.2025.1654501
APOA5