👤 Zhiying Zheng

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678
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489
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Also published as: Amy Zheng, Anna Zheng, Baodong Zheng, Baofang Zheng, Ben-rong Zheng, Bin Zheng, Bing Zheng, Bingrong Zheng, Bingsong Zheng, Bixia Zheng, Biyun Zheng, Bo Zheng, Bo-Wen Zheng, Bo-Xin Zheng, Bo-Yv Zheng, Bohao Zheng, Chang Zheng, Changlin Zheng, Changwei Zheng, Chao Hui Zheng, Chao Zheng, Chen Zheng, Cheng Zheng, Cheng-Li Zheng, Chenyan Zheng, Chong Zheng, Christina Zheng, Chuanxu Zheng, Chunhua Zheng, Chunke Zheng, Chunwen Zheng, Chunyu Zheng, D Zheng, Da-Li Zheng, Danfeng Zheng, Dao-Feng Zheng, De-zhu Zheng, Deqiang Zheng, Deyi Zheng, Deyou Zheng, Dezhong Zheng, Dong-Dong Zheng, Dongju Zheng, Dongmei Zheng, Dongpeng Zheng, Enqin Zheng, Enqing Zheng, Fan Zheng, Fanfan Zheng, Fang Zheng, Fang-Jie-Yi Zheng, Fangfang Zheng, Fanghong Zheng, Fei Zheng, Fengping Zheng, Fenping Zheng, Gang Zheng, Gaofeng Zheng, Gen-Chang Zheng, Guang-Sen Zheng, Guanghui Zheng, Guangjuan Zheng, Guangzhen Zheng, Guanlin Zheng, Guifu Zheng, Guo Zheng, Guo-Qing Zheng, Guodong Zheng, Guopei Zheng, Guoxing Zheng, H Zheng, Hailun Zheng, Haixue Zheng, Haiyan Zheng, Han Zheng, Han-Dan Zheng, Hanghui Zheng, Hanyue Zheng, Hao Zheng, Hao-Tian Zheng, Haohan Zheng, Haoran Zheng, Haotian Zheng, Haoyang Zheng, Heqing Zheng, Hong Zheng, Hong-Wei Zheng, Hongchao Zheng, Hongshan Zheng, Hongting Zheng, Houfeng Zheng, Hua-Qing Zheng, Huacheng Zheng, Huakun Zheng, Huatao Zheng, Hui Zheng, Huili Zheng, Huilin Zheng, Huimin Zheng, Huiping Zheng, Huiting Zheng, Huiwen Zheng, J Zheng, Jack Jingyuan Zheng, Jia Zheng, Jiahao Zheng, Jialing Zheng, Jian Zheng, JianLei Zheng, Jianbao Zheng, Jiang-Xia Zheng, Jiangfei Zheng, Jiangxia Zheng, Jianhua Zheng, Jianhuai Zheng, Jianing Zheng, Jianjian Zheng, Jianqing Zheng, Jianwei Zheng, Jianying Zheng, Jianyong Zheng, Jianzhong Zheng, Jiaoyun Zheng, Jiaping Zheng, Jiayin Zheng, Jichang Zheng, Jie J Zheng, Jie Zheng, Jiemin Zheng, Jieting Zheng, Jihong Zheng, Jihui Zheng, Jijian Zheng, Jimin Zheng, Jin Hai Zheng, Jin Zheng, Jing Zheng, Jing-Juan Zheng, Jing-Yuan Zheng, Jingyi Zheng, Jinhua Zheng, Jinyu Zheng, Jiusheng Zheng, Ju-Sheng Zheng, Jun Zheng, Jun-Juan Zheng, Junjie Zheng, Junke Zheng, Junmeng Zheng, Junming Zheng, Junping Zheng, Junqiong Zheng, Jusheng Zheng, Kai Zheng, Kaizhi Zheng, Kang Zheng, Ke Zheng, Ke-qin Zheng, Kefan Zheng, Keqin Zheng, Kesi Zheng, Kexiao Zheng, Kui Zheng, Lan Zheng, Lanzhuoying Zheng, Le-Wei Zheng, Lei Zheng, Lemin Zheng, Li Zheng, Li-Qing Zheng, Li-Sha Zheng, Liangtao Zheng, Liduan Zheng, Lijuan Zheng, Lili Zheng, Lilly S Zheng, Liming Zheng, Lin Zheng, Linfeng Zheng, Ling Zheng, Lingxin Zheng, Lingyan Zheng, Lingyun Zheng, Lisha Zheng, Liuyan Zheng, Liwei Zheng, Liwen Zheng, Lixia Zheng, Lixin Zheng, Liyuan Zheng, Liyun Zheng, Lizhi Zheng, Longbin Zheng, Lu Zheng, Lufeng Zheng, Lukai Zheng, Lulu Zheng, Luyao Zheng, M Zheng, Maiqing Zheng, Man Zheng, Maoyong Zheng, Matao Zheng, Meijuan Zheng, Meiling Zheng, Mengqi Zheng, Mengxue Zheng, Mengyao Zheng, Mi Zheng, Mianying Zheng, Miao Zheng, Miaosen Zheng, Min Zheng, Min-Ming Zheng, Ming Zheng, Ming-Yi Zheng, Mingjun Zheng, Mingke Zheng, Mingqi Zheng, Mingyan Zheng, Mingyue Zheng, Mingzhu Zheng, Minhua Zheng, Minjie Zheng, Minwen Zheng, Minying Zheng, Mixue Zheng, N Zheng, Nan Zheng, Nana Zheng, Neil S Zheng, Nengtong Zheng, Nenzhu Zheng, Ning Zheng, Ningbo Zheng, Pan Zheng, Panchan Zheng, Pei-yong Zheng, Peixun Zheng, Peiyang Zheng, Peng Zheng, Peng-Fei Zheng, Peng-Sheng Zheng, Pengtao Zheng, Ping Zheng, Qi Zheng, Qiang-Sun Zheng, Qiangsun Zheng, Qianqian Zheng, Qiantao Zheng, Qianwen Zheng, Qianyan Zheng, Qiaomei Zheng, Qidi Zheng, Qifan Zheng, Qin Zheng, Qing-Shui Zheng, Qingcong Zheng, Qingmeng Zheng, Qingqing Zheng, Qingtong Zheng, Qingying Zheng, Qingyou Zheng, Qingzhi Zheng, Qingzhu Zheng, Qinqin Zheng, Qinsi Zheng, Qirui Zheng, Qiulan Zheng, Qiuxian Zheng, Qiyue Zheng, Quan Zheng, Quanwei Zheng, Quanzhen Zheng, R-J Zheng, Ran Zheng, Ronghao Zheng, Rui Zheng, Rui-Dan Zheng, Ruiling Zheng, Ruimin Zheng, Ruizhi Zheng, Ruli Zheng, Runhui Zheng, S Lilly Zheng, S Zheng, Saihua Zheng, Sean L Zheng, Sen Zheng, Shan Zheng, Shaobo Zheng, Shaohua Zheng, Shaojiang Zheng, Shaoqin Zheng, Shaoyan Zheng, Shijie Zheng, Shirui Zheng, Shiyi Zheng, Shu Zheng, Shu-Sen Zheng, Shuai Zheng, Shuhui Zheng, Shuilin Zheng, Shuo Zheng, Shuqi Zheng, Shuqin Zheng, Shurong Zheng, Shusen Zheng, Shuxin Zheng, Si-Li Zheng, Sisi Zheng, Siyang Zheng, Siyu Zheng, Siyuan Zheng, Songsong Zheng, Su-Su Zheng, Sumei Zheng, Suyue Zheng, Tianhu Zheng, Tianjin Zheng, Tiantian Zheng, Tianyu Zheng, Tiaozhan Zheng, Tina Zheng, Tong Zheng, W Zheng, Wanqi Zheng, Wei Zheng, Wei-Hong Zheng, Wei-Hui Zheng, Weihan Zheng, Weijun Zheng, Weilong Zheng, Weiqiang Zheng, Wen Zheng, Wen-Ling Zheng, Wen-Qi Zheng, Wen-Rui Zheng, Wencheng Zheng, Wenhui Zheng, Wenjie Zheng, Wenxin Zheng, Wenxuan Zheng, Wenying Zheng, Wu Zheng, X Y Zheng, Xi Zheng, Xi-Long Zheng, Xia Zheng, Xiang Zheng, Xianghui Zheng, Xiangrong Zheng, Xiangtao Zheng, Xiangyi Zheng, Xianhua Zheng, Xianrui Zheng, Xianwu Zheng, Xianxian Zheng, Xiao Zheng, Xiao-Yan Zheng, Xiaobin Zheng, Xiaofei Zheng, Xiaofeng Zheng, Xiaohui Zheng, Xiaojing Zheng, Xiaoli Zheng, Xiaomei Zheng, Xiaoshuo Zheng, Xiaowei Zheng, Xiaoxiao Zheng, Xiaoyan Zheng, Xiaoying Zheng, Xiaoyu Zheng, Xichun Zheng, Xiling Zheng, Ximian Zheng, Xin De Zheng, Xin Zheng, Xinbin Zheng, Xinli Zheng, Xinting Zheng, Xinxin Zheng, Xinyan Zheng, Xinyue Zheng, Xiu-Lan Zheng, Xiujue Zheng, Xu Zheng, Xu-Hui Zheng, Xue-Ying Zheng, Xuejun Zheng, Xumin Zheng, Xun Zheng, Xuyu Zheng, Y Zheng, Yabei Zheng, Yadong Zheng, Yajun Zheng, Yali Zheng, Yalin Zheng, Yan Zheng, Yan-Fang Zheng, Yanfang Zheng, Yang Jing Zheng, Yang Zheng, Yanjun Zheng, Yansheng Zheng, Yanyan Zheng, Yao Zheng, Yaping Zheng, Yawen Zheng, Ye Zheng, Yejing Zheng, Yi Zheng, Yi-Sheng Zheng, Yi-Zhou Zheng, Yidan Zheng, Yifan Zheng, Yiheng Zheng, Yihui Zheng, Yijing Zheng, Ying Zheng, Ying-Ying Zheng, Yingchun Zheng, Yingge Zheng, Yingjie Zheng, Yingru Zheng, Yingxia Zheng, Yiran Zheng, Yiwen Zheng, Yong Zheng, Yong-Hui Zheng, Yong-Yuan Zheng, Yonghong Zheng, Yongling Zheng, Yongwei Zheng, Yu Zheng, Yu-Guo Zheng, Yuanteng Zheng, Yuanxin Zheng, Yuanyuan Zheng, Yuchen Zheng, Yue Zheng, Yuehong Zheng, Yuejun Zheng, Yueying Zheng, Yuhao Zheng, Yuhua Zheng, Yumei Zheng, Yun Zheng, Yun-Yao Zheng, Yunjiang Zheng, Yunlong Zheng, Yuqiu Zheng, Yuxin Zheng, Z-Q Zheng, Ze Zheng, Zeyuan Zheng, Zhangliang Zheng, Zhao-Fen Zheng, Zhaohui Zheng, Zhaomin Zheng, Zhe Zheng, Zhelan Zheng, Zhendong Zheng, Zheng Zheng, Zhi Zheng, Zhi-Qiang Zheng, Zhihao Zheng, Zhihong Zheng, Zhihui Zheng, Zhipeng Zheng, Zhixin Zheng, Zhiyao Zheng, Zhiyi Zheng, Zhou Zheng, Zhuoyin Zheng, Zhuqing Zheng, Zi-Meng Zheng, Zibin Zheng, Zichao Zheng, Zihe Zheng, Zijian Zheng, Ziwei Zheng, Zixin Zheng, Ziyi Zheng, Zoe Zi-Yu Zheng, Zong-Qing Zheng, Zu-Guo Zheng
articles
Chaojie Ye, Chun Dou, Dong Liu +13 more · 2025 · Nature communications · Nature · added 2026-04-24
Limited identification of insulin resistance-associated loci hinders understanding of its role in cardiometabolic health, impeding therapeutic strategies. We apply three multivariate genome-wide assoc Show more
Limited identification of insulin resistance-associated loci hinders understanding of its role in cardiometabolic health, impeding therapeutic strategies. We apply three multivariate genome-wide association study approaches on homeostatic model assessment for insulin resistance, insulin resistance index, fasting insulin, and ratio of triglycerides to high-density lipoprotein cholesterol from MAGIC and UK Biobank to develop a comprehensive phenotype ('mvIR'), and identify 217 independent loci, including 24 novel loci. The mvIR is causally associated with higher risks of 17 cardiometabolic diseases and five aging phenotypes, independent of adiposity and sarcopenia. We outline 21 of 2644 druggable genes for insulin resistance by Mendelian randomization and colocalization, where six genes (AKT1, ERBB3, FCGR1A, FGFR1, LPL, NR1H3) encode targets for approved drugs with consistent directions in alleviating insulin resistance, with no significant side effects revealed by phenome-wide association study. This study uncovers novel loci and therapeutic targets to inform strategies promoting insulin resistance-centered cardiometabolic health and longevity. Show less
📄 PDF DOI: 10.1038/s41467-025-64985-9
FGFR1
Lei Chen, Lingxin Zheng, Yuan Qin +5 more · 2025 · Journal of advanced research · Elsevier · added 2026-04-24
Cardiac hypertrophy is an independent risk factor and the primary predictor of heart failure (HF). Mitochondria are crucial for the shift from hypertrophy to heart failure. The expression of fibroblas Show more
Cardiac hypertrophy is an independent risk factor and the primary predictor of heart failure (HF). Mitochondria are crucial for the shift from hypertrophy to heart failure. The expression of fibroblast growth factor 21 (FGF21), a cardioprotective factor, is increased in patients with cardiac hypertrophy but fails to prevent heart failure. Additionally, the molecular mechanism through which FGF21 exerts its beneficial effects on hypertrophic myocardial mitochondria remains unclear. Our study investigated the effect of FGF21 on cardiac hypertrophy, elucidating its mechanism of action through the enhancement of mitophagy-mediated cardioprotection. A transverse aortic constriction (TAC) model and a phenylephrine (PE) model were applied to explore the effect and mechanism of FGF21. P62-mediated mitophagy inducer (PMI) and rapamycin (Rapa) were used to confirm that FGF21-regulated mitophagy under overload pressure conditions. FGF21 knockout markedly exacerbated TAC-induced cardiac function damage, mitochondrial damage, and mitophagy impairment. In vitro, FGF21 knockdown aggravated PE-induced cardiomyocyte hypertrophy and mitophagy dysfunction. FGF21 treatment promoted mitophagy in the TAC and PE models, but this effect was abolished in the absence of PTEN-induced putative kinase 1 (PINK1). The increase in PINK1 expression induced by Rapa can rescue impaired cardiac function and mitophagy impairment in FGF21-deficient TAC mice. Similarly, PMI enhances mitophagy, which inhibits damage to cardiac functions. A further study revealed that the expression of fibroblast growth factor receptor 1 (FGFR1) and FGF21 was opposite in heart failure. Knockdown of FGFR1 inhibited FGF21-mediated mitophagy. FGF21 promotes PINK1-mediated mitophagy to attenuate cardiac hypertrophy, and mismatched FGFR1 expression may hamper the beneficial effect of FGF21 on cardiac hypertrophy. Show less
no PDF DOI: 10.1016/j.jare.2025.10.053
FGFR1
Yuping Huang, Junguang Liao, Panpan Shen +7 more · 2025 · JCI insight · added 2026-04-24
Cranial neural crest cells (CNCs) play a critical role in craniofacial bone morphogenesis, engaging in intricate interactions with various molecular signals to ensure proper development, yet the molec Show more
Cranial neural crest cells (CNCs) play a critical role in craniofacial bone morphogenesis, engaging in intricate interactions with various molecular signals to ensure proper development, yet the molecular scaffolds coordinating these processes remain incompletely defined. Here, we identify neurofibromin 2 (Nf2) as a critical regulator to direct CNC-derived skull morphogenesis. Genetic ablation of Nf2 in murine CNCs causes severe craniofacial anomalies, featuring declined proliferation and increased apoptosis in osteoprogenitors, impaired type I collagen biosynthesis and trafficking, and aberrant osteogenic mineralization. Mechanistically, we uncover that Nf2 serves as a molecular linker that individually interacts with FGF receptor 1 (FGFR1) and Akt through spatially segregated phosphor-sites, and structural modeling and mutagenesis identified Ser10 and Thr230 as essential residues, with Thr230 mutation selectively ablating Akt binding while preserving FGFR1 association. Strikingly, Akt inhibition phenocopied Nf2 deficiency, reducing collagen production and Nf2 phosphorylation, whereas phospho-mimetic Nf2 (T230D) rescued CNC-derived osteogenic defects in Nf2-mutant animals. Our findings underscore the physiological significance of Nf2 as a phosphorylation-operated scaffold licensing the FGFR1/AKT axis to regulate collagen type I biogenesis and trafficking, ensuring normal CNC-derived osteogenesis and craniofacial bone development, thus exposing the Nf2/FGFR1/AKT signaling axis as a therapeutic target and promising advancements in treatment of craniofacial anomalies. Show less
📄 PDF DOI: 10.1172/jci.insight.191112
FGFR1
Yang Lu, Bizhi Li, Xiaoli Zheng +4 more · 2025 · ACS medicinal chemistry letters · ACS Publications · added 2026-04-24
The FGFR1 V561M mutation significantly reduces the efficacy of current FGFR1 inhibitors, creating an urgent need for targeted second-generation therapies. In this study, we developed a comprehensive v Show more
The FGFR1 V561M mutation significantly reduces the efficacy of current FGFR1 inhibitors, creating an urgent need for targeted second-generation therapies. In this study, we developed a comprehensive virtual screening protocol that combines energy-based screening and machine learning techniques, leading to the identification of a novel compound, Show less
no PDF DOI: 10.1021/acsmedchemlett.5c00205
FGFR1
Shui Xiang, Yiwen Zheng, Mengxiao Wang +6 more · 2025 · NPJ precision oncology · Nature · added 2026-04-24
NRG1 fusion is an emerging oncogenic driver, and the FDA has approved drugs for the treatment of non-small cell lung cancer and pancreatic cancer associated with NRG1 fusions. This study retrospective Show more
NRG1 fusion is an emerging oncogenic driver, and the FDA has approved drugs for the treatment of non-small cell lung cancer and pancreatic cancer associated with NRG1 fusions. This study retrospectively analyzed data from 25,203 patients with solid tumors who underwent next-generation sequencing (NGS) and identified 49 patients with NRG1 fusions. The mutation profiles and actionable therapeutic targets were analyzed among patients with fusions. In this study, 0.2% (49/25,203) of patients harbored NRG1 fusions. The frequencies of NRG1 fusions across various cancer types were as follows: prostate cancer, 0.65%; breast cancer, 0.47%; lung cancer, 0.29%; esophageal cancer, 0.25%; colorectal cancer, 0.17%; gastric cancer, 0.13%; pancreatic cancer, 0.11%; and hepatocellular carcinoma, 0.05%). A total of 36 fusion partners were detected, among which CD74 was predominant, accounting for 29.3% of cases. Patients with NRG1 fusions presented a greater frequency of FGFR1 mutations and RET fusions, compared with non-NRG1 fusion patients. Most lung cancer and colorectal cancer patients with NRG1 fusions harbored FDA-approved or potential drug targets, whereas those diagnosed with breast cancer harbored fewer such targets. NRG1 fusion-related drugs can provide additional treatment options. Our study expands the NRG1 fusion gene landscape and provides a valuable reference for the comprehensive treatment of patients with NRG1 fusions. Show less
📄 PDF DOI: 10.1038/s41698-025-01044-y
FGFR1
Dongchen Xu, Min Wen, Bingwa Lebohang Anesu +10 more · 2025 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Ischemic stroke (IS) remains a leading cause of mortality and disability, with limited therapeutic options due to poor drug delivery to ischemic lesions. To address this challenge, an engineered Salmo Show more
Ischemic stroke (IS) remains a leading cause of mortality and disability, with limited therapeutic options due to poor drug delivery to ischemic lesions. To address this challenge, an engineered Salmonella based therapeutic method for targeted drug delivery and long-term treatment is herein designed to mitigate ischemic damage. We engineered an attenuated luminescent Salmonella typhimurium (S.t -ΔpG) strain with an L-arabinose-inducible pBAD system to secrete bioactive FGF21. C57BL/6 mice were used to to measure neuron apoptosis and the activity of immune cells following IS induction plus S.t-ΔpG injection. Bioluminescence imaging was applied for bacterial colonization. ELISA and glucose uptake assays were performed to detect FGF21 secretion and the bioactivity. Neurological tests, TTC staining, and TUNEL labeling were used to assess the therapeutic effects of barterially secreted FGF21. Immunofluorescence assay of FGF21/FGFR1 dominant pathway was explored to investigate neuroprotective mechanism, while IBA-1 staining, CD3/CD68 immunostaining, cytokine profiling, and hepatorenal histopathology were detected to evaluate biosecurity. S.t-ΔpG Our study presents a novel, Salmonella - based platform for targeted and sustained FGF21 delivery, offering a promising therapeutic strategy for ischemic stroke with robust efficacy and minimal systemic toxicity. Show less
📄 PDF DOI: 10.1186/s12974-025-03498-0
FGFR1
Lulu Zheng, Jiaqi Cao, Lin Ma +8 more · 2025 · Journal of medicinal chemistry · ACS Publications · added 2026-04-24
Alterations in the fibroblast growth factor receptor 3 (FGFR3) gene have been noted in human diseases, including bladder cancer and urothelial carcinoma (UC). Erdafitinib was approved for the treatmen Show more
Alterations in the fibroblast growth factor receptor 3 (FGFR3) gene have been noted in human diseases, including bladder cancer and urothelial carcinoma (UC). Erdafitinib was approved for the treatment of UC but is limited by the progression of on-target gatekeeper resistance mutations. Several heterobifunctional FGFR degraders have been developed as potential therapeutic agents to block FGFR1 or FGFR2 signaling. However, to date, none of the FGFR3-active degraders have been identified. Herein, we report the discovery of LC-MF-4, the first efficient FGFR3 degrader, for the treatment of cancers harboring FGFR3 alterations. Proteomic analysis revealed that LC-MF-4 exhibits exceptional proteomic selectivity for FGFR3 degradation. In FGFR3-TACC3 fusion-positive cells, LC-MF-4 exerted its effects by suppressing the expression of genes involved in mitochondrial biogenesis and ATP synthesis. This study demonstrated robust antitumor activity of LC-MF-4 in the Ba/F3-FGFR3-TACC3 xenograft model, highlighting its potential for the treatment of FGFR3-altered cancers. Show less
no PDF DOI: 10.1021/acs.jmedchem.5c00731
FGFR1
Yue Yang, Yunhan Wang, Zhou Zheng +2 more · 2025 · General physiology and biophysics · added 2026-04-24
Bladder cancer (BLCA) is a prevalent urological malignancy. We aim to identify novel biomarkers for BLCA and elucidate the specific regulatory mechanisms of polo-like kinase 1 (PLK1). Using differenti Show more
Bladder cancer (BLCA) is a prevalent urological malignancy. We aim to identify novel biomarkers for BLCA and elucidate the specific regulatory mechanisms of polo-like kinase 1 (PLK1). Using differentially expressed genes (DEGs) screened from GSE38264 and GSE130598 datasets, we constructed protein-protein interaction networks to identify hub genes, whose expression was validated using reverse transcription-quantitative polymerase chain reaction. The malignant phenotype of BLCA cells was assessed by Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine, Transwell, and wound-healing assays. Hematoxylin-eosin and immunohistochemical staining were employed to evaluate BLCA development in mouse xenograft models. The protein expression was detected by Western blot. PLK1, AURKA, AURKB, CDK1, ERBB2, ERBB3, FGFR1, FYN, ABL1, and PRKDC were hub genes with predictive value for BLCA. Among them, PLK1 was selected as a key target of BLCA. PLK1 knockdown inhibited the viability, proliferation, migration, and invasion of BLCA cells. In vivo, PLK1 knockdown inhibited tumor growth. Silencing PLK1 activated the Hippo pathway in BLCA cells and tumor tissues. The Hippo pathway inhibitor reversed the inhibitory effects of PLK1 silencing on malignant phenotype of BLCA cells. PLK1 knockdown exerts an inhibitory effect on BLCA via activating the Hippo pathway, which presents promising therapeutic strategies for BLCA. Show less
no PDF DOI: 10.4149/gpb_2025015
FGFR1
Dandan Zhu, Zijian Zheng, Huixin Huang +7 more · 2025 · European journal of medicinal chemistry · Elsevier · added 2026-04-24
Fibroblast growth factor receptors (FGFRs) represent promising therapeutic targets in various malignancies, yet the clinical application of FGFR covalent inhibitors has been impeded by several signifi Show more
Fibroblast growth factor receptors (FGFRs) represent promising therapeutic targets in various malignancies, yet the clinical application of FGFR covalent inhibitors has been impeded by several significant challenges, including unquantifiable target engagement, undefined off-target effects, and the emergence of drug resistance. In this study, we designed and synthesized a series of FGFR activity-based probes (ABPs) derived from FIIN-2, a pioneering selective, next-generation irreversible covalent FGFR inhibitor with demonstrated efficacy against gatekeeper mutations. Among them, FP1 exhibited comparable inhibitory potency to FIIN-2. FP1 could facilitate precise in vitro and in situ labeling and visualization of both FGFR1-4 and their mutants. Utilizing FP1, we successfully mapped the target spectrum of FIIN-2 in MDA-MB-453 cells through activity-based protein profiling (ABPP), and established a robust framework for employing our probe as a generalizable tool to systematically evaluate the on- and off-target activities of prospective FGFR covalent inhibitors. Overall, the FGFR ABP offers a promising strategy for elucidating the engagement of FGFR, profiling the target specificity and mechanisms of covalent FGFR inhibitors, and offering potential avenues for overcoming drug resistance. Show less
no PDF DOI: 10.1016/j.ejmech.2025.117795
FGFR1
Manyu Dai, Zhuoran Jia, Huimin Wang +4 more · 2025 · Inflammation · Springer · added 2026-04-24
Clinical trials have demonstrated Sodium-glucose cotransporter 2 inhibitors (SGLT2i) antihypertensive effects, yet their underlying mechanisms remain to be fully elucidated. Fibroblast growth factor 2 Show more
Clinical trials have demonstrated Sodium-glucose cotransporter 2 inhibitors (SGLT2i) antihypertensive effects, yet their underlying mechanisms remain to be fully elucidated. Fibroblast growth factor 21 (FGF21) circulating levels are associated with hypertension in humans. This study aims to investigate the roles of SGLT2i and FGF21 in improving hypertension and their potential mechanisms. A mouse model of Ang II-induced hypertension was established. Wild-type (WT) C57BL/6 mice and FGF21 knockout (FGF21 Show less
📄 PDF DOI: 10.1007/s10753-025-02309-1
FGFR1
Jianxia Zhang, Yi Wang, Mengying Wang +11 more · 2025 · Journal of medicinal chemistry · ACS Publications · added 2026-04-24
Fibroblast growth factor receptors (FGFRs) play a critical role in the regulation of cancer cell proliferation, differentiation, and migration. However, the development of acquired resistance to FGFR Show more
Fibroblast growth factor receptors (FGFRs) play a critical role in the regulation of cancer cell proliferation, differentiation, and migration. However, the development of acquired resistance to FGFR inhibitors remains a major challenge in treating non-small cell lung cancer (NSCLC), particularly due to mutations at the gatekeeper residue. In this study, we report the discovery of a series of irreversible FGFR inhibitors targeting gatekeeper mutations in FGFR1-3, utilizing a 2,4,5-trisubstituted pyrimidine scaffold. Through rational design, structure-activity relationship optimization, and pharmacokinetic evaluation, compound ng Show less
no PDF DOI: 10.1021/acs.jmedchem.5c00124
FGFR1
Hao Li, Wenxuan Zheng, Shuo Xin +5 more · 2025 · Poultry science · Elsevier · added 2026-04-24
Good skin quality not only improved carcass quality but also increased consumer demand for fresh poultry meat. This study aimed to investigate the developmental changes in skin growth and quality of P Show more
Good skin quality not only improved carcass quality but also increased consumer demand for fresh poultry meat. This study aimed to investigate the developmental changes in skin growth and quality of Pekin ducks during 1-6 weeks of age. The skin samples were collected from the breast, back, and thigh tissues of six male ducks at the end of each week. The skin strength, skin thickness, and collagen content as well as the related gene expressions were determined for the evaluation of skin quality. The results showed that the body weight, absolute skin weight, areas, and density, epidermal and dermal thickness (breast and thigh), shearing force, piercing force (back and thigh), and collagen content in Pekin ducks increased linearly and quadratically with age, reaching a plateau at 5-6 weeks of age (P < 0.05). The mRNA expressions of IGF-1 and FGFR1 related to cell proliferation were highest in breast, back, and thigh of ducks at 3 weeks of age, while the mRNA expression of FGF14 and EGF associated with collagen synthesis reached maximum values at 5 weeks of age. Additionally, the mRNA expressions of IGF1R and FGFR2 were upregulated in breast and thigh skins of ducks at 1 week old and in back skin of ducks at 3 weeks old compared with birds at other weeks old (P < 0.05). In conclusion, the developmental pattern of skin growth and structure of Pekin ducks in a linear manner with increased age. The skin quality was increased in a quadratic manner, which was associated with the changes in mRNA expression of target genes related to cell proliferation and collagen synthesis. Show less
📄 PDF DOI: 10.1016/j.psj.2024.104759
FGFR1
Xuyu Zheng, Cui Zhou, Yulian Hu +7 more · 2025 · Inflammation · Springer · added 2026-04-24
In this study, we used data-independent acquisition-mass spectrometry (DIA-MS) to analyze the serum proteome in psoriasis vulgaris (PsO). The serum proteomes of seven healthy controls and eight patien Show more
In this study, we used data-independent acquisition-mass spectrometry (DIA-MS) to analyze the serum proteome in psoriasis vulgaris (PsO). The serum proteomes of seven healthy controls and eight patients with PsO were analyzed using DIA-MS. Weighted gene co-expression network analysis was used to identify differentially expressed proteins (DEPs) that were closely related to PsO. Hub proteins of PsO were also identified. The Proteomics Drug Atlas 2023 was used to predict candidate hub protein drugs. To confirm the expression of the candidate factor, protein tyrosine phosphatase receptor S (PTPRS), in psoriatic lesions and the psoriatic keratinocyte model, immunohistochemical staining, quantitative real-time polymerase chain reaction, and western blotting were performed. A total of 129 DEPs were found to be closely related to PsO. The hub proteins for PsO were PVRL1, FGFR1, PTPRS, CDH2, CDH1, MCAM, and THY1. Five candidate hub protein drugs were identified: encorafenib, leupeptin, fedratinib, UNC 0631, and SCH 530348. PTPRS was identified as a common pharmacological target for these five drugs. PTPRS knockdown in keratinocytes promoted the proliferation and expression of IL-1α, IL-1β, IL-23A, TNF-α, MMP9, CXCL8, and S100A9. PTPRS expression was decreased in PsO, and PTPRS negatively regulated PsO. PTPRS may be involved in PsO pathogenesis through the inhibition of keratinocyte proliferation and inflammatory responses and is a potential treatment target for PsO. Show less
📄 PDF DOI: 10.1007/s10753-024-02044-z
FGFR1
Yi-Shan Sun, Lei Zhao, Cheng-Li Zheng +11 more · 2025 · Zoological research · added 2026-04-24
Mammalian scent glands mediate species-specific chemical communication, yet the mechanistic basis for convergent musk production remain incompletely understood. Forest musk deer and muskrat have indep Show more
Mammalian scent glands mediate species-specific chemical communication, yet the mechanistic basis for convergent musk production remain incompletely understood. Forest musk deer and muskrat have independently evolved specialized musk-secreting glands, representing a striking case of convergent evolution. Through an integrated multi-omics approach, this study identified cyclopentadecanone as a shared key metabolic precursor in musk from both forest musk deer and muskrat, although downstream metabolite profiles diverged between the two lineages. Single-cell RNA sequencing revealed that these specialized apocrine glands possessed unique secretory architecture and exhibited transcriptional profiles associated with periodic musk production, distinct from those in conventional apocrine glands. Convergent features were evident at the cellular level, where acinar, ductal, and basal epithelial subtypes showed parallel molecular signatures across both taxa. Notably, acinar cells in both species expressed common genes involved in fatty acid and glycerolipid metabolism (e.g., Show less
📄 PDF DOI: 10.24272/j.issn.2095-8137.2025.094
HSD17B12
Yixuan Han, Suli Wang, Chenyang Li +8 more · 2025 · International immunopharmacology · Elsevier · added 2026-04-24
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions Show more
Interleukin-27 (IL-27), an Interleukin-12 (IL-12) family heterodimeric cytokine, plays a central yet complex role in immunoregulation within the intestinal mucosa, where its context-dependent actions can promote both protective and pathogenic outcomes. Although its cellular sources, receptor structure (IL-27Rα/gp130 complex), and involvement in regulating key immune cells (e.g., T-cell subsets, macrophages, neutrophils) and epithelial functions are established, the precise mechanisms underlying its paradoxical effects-balancing homeostasis with inflammation-remain incompletely resolved. This review synthesizes current understanding of IL-27 biology to clarify its multifaceted role. Crucial insights into these dual functions have emerged from preclinical models, including murine colitis (e.g., DSS-, TNBS-induced), enteric infection (e.g., Toxoplasma gondii, Citrobacter rodentium), and colorectal cancer models. These studies demonstrate that IL-27 critically orchestrates gut immunity, maintaining homeostasis through antimicrobial defense and barrier enhancement while suppressing immunopathology. Conversely, its dysregulation drives chronic inflammation and carcinogenesis. Clinically, IL-27 expression correlates with disease activity in inflammatory bowel disease (IBD), colorectal cancer (CRC), and infections, highlighting its biomarker potential. Consequently, targeting the IL-27 pathway presents promising therapeutic avenues: augmenting signaling may mitigate IBD hyperinflammation, while inhibition could bolster antitumor immunity or resolve infection-driven pathology. Future research must prioritize defining context-specific IL-27 functions, optimizing delivery strategies, and integrating IL-27 targeting with existing biologics to translate its immunomodulatory potential into novel therapies for intestinal diseases. Show less
no PDF DOI: 10.1016/j.intimp.2025.115755
IL27
Hui Yan, Rui Wang, Suryavathi Viswanadhapalli +35 more · 2025 · Science advances · Science · added 2026-04-24
B cells express many protein ligands, yet their regulatory functions are incompletely understood. We profiled ligand expression across murine B sublineage cells, including those activated by defined r Show more
B cells express many protein ligands, yet their regulatory functions are incompletely understood. We profiled ligand expression across murine B sublineage cells, including those activated by defined receptor signals, and assessed their regulatory capacities and specificities through in silico analysis of ligand-receptor interactions. Consequently, we identified a B cell subset that expressed cytokine interleukin-27 (IL-27) and chemokine CXCL10. Through the IL-27-IL-27 receptor interaction, these IL-27/CXCL10-producing B cells targeted CD40-activated B cells in vitro and, upon induction by immunization and viral infection, optimized antibody responses and antiviral immunity in vivo. Also present in breast cancer tumors and retained there through CXCL10-CXCR3 interaction-mediated self-targeting, these cells promoted B cell PD-L1 expression and immune evasion. Mechanistically, Show less
📄 PDF DOI: 10.1126/sciadv.adx9917
IL27
Yifeng Mao, Qingqing Chen, Yongpo Jiang +6 more · 2025 · Immunity, inflammation and disease · Wiley · added 2026-04-24
Septic cardiomyopathy (SCM) is a potentially fatal complication of sepsis. In this study, transcriptomic and proteomic analyzes of serum samples from sepsis patients were conducted to uncover the unde Show more
Septic cardiomyopathy (SCM) is a potentially fatal complication of sepsis. In this study, transcriptomic and proteomic analyzes of serum samples from sepsis patients were conducted to uncover the underlying pathological mechanisms and identify potential therapeutic targets for SCM. This retrospective, dual-center study investigated the progression of sepsis to SCM in patients admitted to intensive care units. A total of 50 patients were enrolled and divided into two groups: sepsis with cardiomyopathy (25 cases) and sepsis without cardiomyopathy (25 cases). Co-expression network analysis was employed to elucidate the biological significance of differentially expressed proteins. By integrating proteomic and transcriptomic data, molecular networks were constructed to visualize interactions among key molecules, aiming to enhance data interpretation and support the study's findings. Proteomic analysis identified 216 differentially expressed proteins (Fold change > 1.5, p-value < 0.05) between the two groups. Transcriptomic analysis revealed two proteins, including Interleukin-27 subunit beta (IL-27B) and carbonic anhydrase, co-downregulated in patients with septic cardiomyopathy. IL-27B was associated with the immune response, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis indicated its involvement in the cytokine-cytokine receptor interaction signaling pathway. Comprehensive integrated transcriptomic and proteomic analyzes identified significant changes in protein expression associated with SCM, primarily associated with inflammation-related pathways and amino acid metabolism. These findings provide new insights into the pathological mechanisms of SCM and highlight potential therapeutic targets for its treatment. The Clinical Research Ethics Committee of Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University approved this study, and written informed consent was given by all patients or their legal representatives. (NO.K20201110). Show less
📄 PDF DOI: 10.1002/iid3.70207
IL27
Jing Fan, Yu-Chi Zhang, Dao-Feng Zheng +4 more · 2025 · Cytokine · Elsevier · added 2026-04-24
no PDF DOI: 10.1016/j.cyto.2025.156864
IL27
Hong-Zhe Zhu, Yan Niu, Jian-Xun Wen +9 more · 2025 · Cytokine · Elsevier · added 2026-04-24
Tuberculous pleural effusion (TPE) diagnosis still faces many difficulties and challenges. Some studies have shown that pleural interleukin -27 (IL-27) had a diagnostic potential for TPE. However, the Show more
Tuberculous pleural effusion (TPE) diagnosis still faces many difficulties and challenges. Some studies have shown that pleural interleukin -27 (IL-27) had a diagnostic potential for TPE. However, their findings are not always consistent. This study aimed to investigate the diagnostic accuracy of pleural IL-27 for TPE. We prospectively enrolled 211 patients with undiagnosed pleural effusion. Effusion Mycobacterium tuberculosis (Mtb) culture, Ziehl-Neelsen staining, biopsy, and response to antituberculosis therapy were used to define TPE. The pleural IL-27 levels were determined by enzyme-linked immunosorbent assay (ELISA). A receiver operating characteristic curve (ROC) with the area under the curve (AUC) was used to evaluate the diagnostic accuracy of IL-27 for TPE. In addition, we investigated the influence of age on the diagnostic performance of IL-27 by resampling patients with different upper age limits in the inclusion criteria. Among the 211 enrolled participants, 33 were TPE and 178 were non-TPE. The mean concentration of IL-27 in TPE patients was significantly higher than that of non-TPE patients. The AUC of IL-27 was 0.76 (95 %CI: 0.67-0.86). At the threshold of 500 pg/mL, the sensitivity and specificity of IL-27 were 0.26 (95 %CI: 0.20-0.33) and 0.91 (95 %CI:0.76-0.97), respectively. The AUC of IL-27 is 0.84 in patients with an upper age limit of 70. Still, it decreased to 0.76 in patients with an upper age limit of 75. Age can affect the diagnostic performance of IL-27 for TPE. Show less
no PDF DOI: 10.1016/j.cyto.2024.156844
IL27
Keyan Zou, Yi Zheng, Xiaohong Ren +1 more · 2025 · Journal of health, population, and nutrition · BioMed Central · added 2026-04-24
Epidemiological studies have suggested that dried fruit intake may be associated with a lower risk of breast cancer (BC), yet the genetic mechanisms underlying this association remain unclear. This st Show more
Epidemiological studies have suggested that dried fruit intake may be associated with a lower risk of breast cancer (BC), yet the genetic mechanisms underlying this association remain unclear. This study aimed to explore the potential genetic relationship between dried fruit intake and BC susceptibility. We conducted a comprehensive genetic analysis using genome-wide association study (GWAS) data for dried fruit intake and BC, focusing on individuals of European ancestry. We assessed genome-wide and region-specific genetic correlations using several complementary methods, including linkage disequilibrium score regression and regional genetic mapping. To identify shared genetic regions, we applied statistical approaches that integrate information across traits and improve the detection of common genetic signals. Modest but statistically significant negative genetic correlations were observed between dried fruit intake and BC, including its subtypes. Regional analysis revealed shared signals across multiple chromosomal regions. Five candidate loci were consistently identified as shared between the traits, including BCL11A, MAD1L1, MLLT10, JMJD1C, and RP11-795H16.2. This study provides evidence for a genome-wide genetic link between dried fruit intake and BC risk, identifying several loci that may be shared between the traits. These findings may help improve our understanding of BC development and offer preliminary leads for future dietary prevention and personalized interventions, pending further experimental validation. Show less
📄 PDF DOI: 10.1186/s41043-025-01059-y
JMJD1C
Haiyan Wang, Søren Madsen, Elise J Needham +7 more · 2025 · The journals of gerontology. Series A, Biological sciences and medical sciences · Oxford University Press · added 2026-04-24
Calorie restriction (CR; calorie intake reduced by ∼20%-40% below ad libitum, AL, intake) potentiates skeletal muscle insulin sensitivity during old age by incompletely understood mechanisms. We aimed Show more
Calorie restriction (CR; calorie intake reduced by ∼20%-40% below ad libitum, AL, intake) potentiates skeletal muscle insulin sensitivity during old age by incompletely understood mechanisms. We aimed to identify CR-induced changes in muscle insulin signaling that may explain this enhanced sensitivity. We examined how CR (65% of AL intake for 8-weeks) alters muscle insulin action and signaling in aged rats (24-month old) of both sexes. We assessed insulin-stimulated glucose uptake (ISGU) in muscle together with deep phosphoproteomic profiling. CR enhanced ISGU in both sexes, with higher ISGU in females regardless of diet. We identified 590 diet-responsive phosphosites, indicating extensive CR-induced remodelling of muscle phosphorylation, particularly within structural and contractile pathways. Strikingly, 70% of these sites were sex-specific. Numerous insulin-responsive sites were identified (193 in females; 107 in males) with 60 overlapping sites. The magnitude of the insulin-effects among all significantly regulated sites correlated between sexes. S1443 phosphorylation on EH domain-binding protein 1-like protein-1 (Ehbp1l1; a potential regulator of Rab proteins that control GLUT4 glucose transporter trafficking) was insulin-responsive in both sexes but only associated to ISGU in females. Personalized phosphoproteomic analysis also identified insulin-responsive sites on Leiomodin-1 (Lmod1) that correlated with ISGU across individuals. Both Lmod1 and Ehbp1l1 have strong genetic association with glycemic traits in humans, reinforcing their translational relevance. This study revealed sex-dependent and sex-independent phosphosignaling mechanisms that associate with muscle insulin responsiveness as well as hundreds of sex-specific, CR-responsive phosphosites. These findings provide a rich resource for future research on CR and insulin sensitivity. Show less
📄 PDF DOI: 10.1093/gerona/glaf231
LMOD1
Xiao-Dong Li, Jun-Ming Zhu, Qi You +9 more · 2025 · Combinatorial chemistry & high throughput screening · Bentham Science · added 2026-04-24
Bladder cancer (BC) is one of the most common urological malignancies, ranking as the eleventh most common cause of cancer-related deaths worldwide. The lack of specific and sensitive prognostic bioma Show more
Bladder cancer (BC) is one of the most common urological malignancies, ranking as the eleventh most common cause of cancer-related deaths worldwide. The lack of specific and sensitive prognostic biomarkers presents a significant challenge in the early diagnosis and treatment of BC. We used the Gene Expression Omnibus (GEO) dataset GSE13507 and the Cancer Genome Atlas (TCGA) database to screen differentially expressed genes related to BC. By using Weighted Gene Co-expression Network Analysis (WGCNA), two modules associated with BC were investigated in GSE13507 and TCGA. Hub genes were identified through Protein-Protein Interaction (PPI) network analysis and their functions were validated through multiple approaches, including Gene Expression Profiling Interactive Analysis (GEPIA), Western Blotting (WB) assay, Human Protein Atlas (HPA), Oncomine analysis, and quantitative Real-Time PCR (qRTPCR) analysis. Additionally, miRNAs associated with hub gene expression were identified using various databases to predict the progression and prognosis of BC. WCGNA and differential gene expression analysis identified 171 common genes as target genes. Ten genes (MYH11, ACTA2, TPM2, ACTG2, CALD1, MYL9, TPM1, MYLK, SORBS1, and LMOD1) were identified using the PPI tool and the CytoHubba plugin of Cytoscape. The CALD1 and MYLK genes showed a significant prognostic value for overall survival and diseasefree survival in patients with BC. According to the HPA and Oncomine databases, CALD1 and MYLK expression levels were significantly lower in BC tissues than in normal tissues. Additionally, qRT-PCR analysis, WB assay, and immunohistochemical analysis confirmed CALD1 and MYLK as tumor suppressor genes in BC. Furthermore, miR-155 showed a significant positive correlation with MYLK. This study established MYLK as a direct target gene of miR-155, functioning as an actionable survival-related gene correlated with BC development. Show less
no PDF DOI: 10.2174/0113862073352389250407104347
LMOD1
Bingjie Wu, Xiaoyue Cheng, Ruimin Zheng +10 more · 2025 · Human reproduction open · Oxford University Press · added 2026-04-24
Does preconception mental health status in either partner affect fertility and infertility, and is this association modified by socioeconomic status (SES)? Preconception mental health problems in both Show more
Does preconception mental health status in either partner affect fertility and infertility, and is this association modified by socioeconomic status (SES)? Preconception mental health problems in both partners are associated with lower couple fertility, with the synergistic impact being most pronounced among couples with low SES status. Mental health problems are rising among young adults, and fertility rates are declining. Women's preconception mental health has been linked to lower fertility, but few studies have examined the combined impact of both partners' mental health. The modifying role of SES in these associations is also poorly understood. This couple-based prospective cohort study included 966 preconception couples who sought preconception care and were followed for 12 months in the Shanghai Birth Cohort between 2013 and 2015. The couples' mental health status was evaluated at enrolment using the Center for Epidemiological Studies-Depression Scale, Zung Self-Rating Anxiety Scale, and Perceived Stress Scale. The outcomes included couple fecundability (measured by the TTP) and infertility (i.e. TTP >12 menstrual cycles). In the partner-specific model, Cox proportional hazards models and logistic regression were used to evaluate the associations between each partner's depression, anxiety, and stress levels and couples' fertility. In the couple-based model, cross-classification and quantile g-computation were first applied to identify couples' joint exposure to specific psychological conditions in relation to fertility. Latent profile analysis (LPA) was then conducted to characterize distinct latent profiles of couples' overall mental health statuses, followed by Cox proportional hazards models and logistic regression to examine the corresponding associations. Key symptoms in the couples' depression, anxiety, and stress scales were determined by elastic net regression and least absolute shrinkage and selection operator. To assess the potential effect modification of SES on the association between couples' mental health and fertility, we conducted stratified analyses by male and female partner education levels and household income. In the female partner-specific model, a 1 SD increase in depression score was associated with 10% lower fecundability (FOR = 0.90, 95% CI: 0.82, 0.99). Likewise, a 1 SD increase in the stress score was associated with 13% lower fecundability (FOR = 0.87, 95% CI: 0.79, 0.96). Male anxiety was associated with a higher risk of infertility (OR = 1.19, 95% CI: 1.01, 1.42). Stratified analyses showed that depression, anxiety, and stress were significantly associated with lower fecundability among males with an education level Show less
📄 PDF DOI: 10.1093/hropen/hoaf071
LPA
Huatao Zheng, Dan Li, Rentao Ma +3 more · 2025 · Frontiers in public health · Frontiers · added 2026-04-24
With the aging population in China, research on preventing frailty is crucial. This study aims to investigate the independent and combined associations of the Dietary inflammatory index (DII) and phys Show more
With the aging population in China, research on preventing frailty is crucial. This study aims to investigate the independent and combined associations of the Dietary inflammatory index (DII) and physical activity (PA) with frailty among Chinese older adults. A total of 285 participants aged ≥60 years with 87 males and 186 females were recruited from Hunan Province. Daily moderate physical activity (MPA), vigorous physical activity (VPA) and light physical activity (LPA) were objectively measured using a triaxial accelerometer. A Food Frequency Questionnaire 25 (FFQ25) was used to assess the participants' dietary patterns, and DII was calculated. Six combined exposure groups were formed based on PA and DII: pro-inflammatory diet and insufficient PA group, neutral diet and insufficient PA group, anti-inflammatory diet and insufficient PA group, pro-inflammatory diet and sufficient PA group, neutral diet and sufficient PA group, and anti-inflammatory diet and sufficient PA group. Frailty was assessed using the Frailty Phenotype (FP), logistic regression analyzed the associations between dietary patterns, PA, and frailty. A total of 285 older adults participants were initially recruited, but 12 were excluded due to missing data. Consequently, 273 participants were included in the final analysis. Compared to individuals with insufficient PA, those with sufficient PA were associated with significantly lower odds of frailty (OR = 0.468, 95%CI = 0.242-0.907). Participants following an anti-inflammatory diet had significantly lower odds of frailty compared with those following a pro-inflammatory diet (OR = 0.467, 95%CI = 0.221-0.988). In the combined groups, frailty prevalence was significantly lower the group with anti-inflammatory diet and sufficient PA group (OR = 0.204, 95%CI = 0.072-0.583), compared with pro-inflammatory diet and insufficient PA group. The sensitivity analysis showed that the associations between anti-inflammatory diet and sufficient PA with frailty remained statistically significant, with the direction of the associations unchanged. These findings suggest that the results are robust. Our study indicates that adhering to an anti-inflammatory diet and maintaining sufficient PA may be associated with a lower likelihood of frailty. Achieving an adequate amount of PA and following a healthy dietary pattern may serve as potential preventive measures against frailty. Show less
📄 PDF DOI: 10.3389/fpubh.2025.1739530
LPA
Lin Hao, Xiangqiu Chen, Tao He +9 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Prostate adenocarcinoma (PRAD) is a common malignancy with marked clinical heterogeneity, complicating prognosis and disease monitoring. Traditional tools like the Gleason score lack molecular and mic Show more
Prostate adenocarcinoma (PRAD) is a common malignancy with marked clinical heterogeneity, complicating prognosis and disease monitoring. Traditional tools like the Gleason score lack molecular and microenvironmental insights, underscoring the need for biomarker-driven predictive models. Single-cell RNA-seq data from GEO and bulk RNA-seq data from TCGA were analyzed. scRNA-seq processing used the Seurat package, with cluster-specific genes identified via FindAllMarkers. Differentially expressed genes (DEGs) from bulk data were obtained using limma, and key gene modules were identified through WGCNA. Using univariate Cox regression and LASSO analysis, a prognostic model was developed based on cluster-specific genes, key module genes, and differentially expressed genes. Clinical validation included comparison of tumor and adjacent normal tissues, revealing significantly elevated GDPD3 expression, further confirmed by immunohistochemistry. In this study, through integrated single-cell sequencing and Bulk-RNA-seq analyses, we established a 21-gene prognostic model. QPCR confirmed significant upregulation of three candidates, including GDPD3, which was also elevatedin malignant tissues. Knockdown of GDPD3 inhibited tumor cell proliferation, invasion, and migration. Mechanistically, GDPD3 regulated the levels of lysophosphatidic acid (LPA), which in turn induced EMT in tumor cells. Inhibition or knockdown of the LPA receptor LPAR1 suppressed EMT. LPA promoted EMT through activation of the AKT signaling pathway, and inhibition of this pathway reversed LPA-induced EMT. This study underscores key molecular mechanisms underlying prostate cancer progression, with GDPD3 emerging as a potential therapeutic target. Show less
📄 PDF DOI: 10.3389/fimmu.2025.1637325
LPA
Caixia Deng, Jingxing Liu, Xiaoqian Wu +4 more · 2025 · Behavioral sciences (Basel, Switzerland) · MDPI · added 2026-04-24
Problematic smartphone use (PSU) has become a growing concern among young populations, raising significant issues for their physical and psychological well-being. Guided by Compensatory Internet Use T Show more
Problematic smartphone use (PSU) has become a growing concern among young populations, raising significant issues for their physical and psychological well-being. Guided by Compensatory Internet Use Theory and the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study examined the associations between different forms of childhood trauma and PSU. Participants were 2717 college students (661 males, 22.49%; Mage = 19.81 years). Two chain mediation models were tested, and latent profile analysis (LPA) was employed to capture individual differences from a person-centred perspective. LPA revealed three distinct trauma profiles: low childhood trauma, moderate childhood abuse, and high childhood abuse. Across both variable-centred and person-centred ap-proaches, rumination and social anxiety were identified as mediators linking childhood trauma to PSU. These findings advance understanding of the pathways through which childhood trauma contributes to PSU in college students. By integrating variable- and person-centred approaches, the study highlights the importance of cognitive-emotional mechanisms and provides implications for targeted prevention and intervention strategies. Show less
📄 PDF DOI: 10.3390/bs15121676
LPA
Zihao Zhou, Yidan Zheng, Shiyan Hu +13 more · 2025 · Heart (British Cardiac Society) · added 2026-04-24
Calcific aortic stenosis (CAS) is frequently accompanied by systemic comorbidities, but their causal relationships and shared genetic architecture remain poorly defined. We aimed to map the multisyste Show more
Calcific aortic stenosis (CAS) is frequently accompanied by systemic comorbidities, but their causal relationships and shared genetic architecture remain poorly defined. We aimed to map the multisystem comorbidity network of CAS and clarify underlying genetic mechanisms. In 467 484 participants from the UK Biobank, observational and polygenic phenome-wide association studies evaluated associations between CAS and 1571 phenotypes, integrating disease-trajectory analyses to visualise temporal patterns. Associations replicated across observational and polygenic analyses were tested using two-sample Mendelian randomisation (MR) based on 22 CAS-related variants from FinnGen. Polygenic risk score (PRS) analyses excluding specific genes assessed their contributions, particularly LPA and plasma lipoprotein(a) (Lp(a)) levels. CAS was associated with higher risks of 42 cardiovascular and non-cardiovascular conditions, most prominently metabolic, endocrine, haematological and respiratory disorders. Temporal analyses showed that circulatory and metabolic diseases typically precede other comorbidities in CAS trajectories. MR findings were consistent with causal effects of CAS on multiple cardiovascular diseases, iron-deficiency anaemia, mental disorders and pleural effusion. When LPA variants were removed from the CAS PRS or plasma Lp(a) concentration was adjusted for, most associations lost significance, indicating a shared LPA/Lp(a)-mediated genetic pathway. CAS is embedded within a broad multisystem comorbidity network, driven largely by genetic variation at LPA and elevated Lp(a). These findings highlight pleiotropic mechanisms linking valvular calcification with systemic disease and support LPA-targeted therapies as a promising avenue for reducing the multisystem burden of CAS. Show less
no PDF DOI: 10.1136/heartjnl-2025-326058
LPA
Di Xue, Huaijie Yang, Jian Zheng +1 more · 2025 · Frontiers in medicine · Frontiers · added 2026-04-24
This study aims to identify heterogeneous subgroups of first-year residents experiencing transition shock using latent profile analysis (LPA) and to explore the predictive effects of various dimension Show more
This study aims to identify heterogeneous subgroups of first-year residents experiencing transition shock using latent profile analysis (LPA) and to explore the predictive effects of various dimensions of professional identity on different transition shock types. A multi-center, cross-sectional design was employed. From September 2023 to August 2024, a total of 766 first-year residents were selected via cluster sampling from four national-level training bases in Hubei Province, China, for a cross-sectional survey. The survey was conducted using the revised Transition Shock Scale (Cronbach's A total of 574 valid questionnaires were returned. Latent profile analysis identified three latent classes: a low psychological-sociocultural shock group (13.41%, Transition shock among first-year residents exhibits significant heterogeneity. These findings provide evidence for developing targeted intervention strategies. Higher levels of professional cognition, commitment, and expectation are associated with lower levels of transition shock. However, a strong sense of professional values is associated with higher transition shock, a relationship potentially mediated by an idealism-reality gap. It is recommended that tiered competency-building interventions should be implemented for the high physical-knowledge/skill shock group, and a dual-track support system should be designed for Master of Medicine degree candidates. Show less
📄 PDF DOI: 10.3389/fmed.2025.1716120
LPA
Luwen Zhang, Fangli Liu, Jinghui Liu +1 more · 2025 · Journal of advanced nursing · Blackwell Publishing · added 2026-04-24
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles. Multicentre cross-sectional study. Between Show more
To explore latent profiles of social isolation in maintenance haemodialysis (MHD) patients and to analyse the factors influencing different latent profiles. Multicentre cross-sectional study. Between November 2024 to March 2025, 305 MHD patients from the haemodialysis centres of three hospitals in Henan Province, China, were recruited using a convenience sampling method. All participants completed the general information questionnaire, Lubben Social Network Scale 6 (LSNS-6), UCLA Loneliness Scale-6 (ULS-6) and Personal Mastery Scale. Latent Profile Analysis (LPA) was used to classify the participants into potential subgroups with different types of social isolation. The influencing factors of profiles were explored by univariate analysis and multiple logistic regression analysis. Social isolation of 305 patients can be divided into three profiles: the family-friend dual isolation group (14.10%), friend isolation-only group (47.54%), and social network well-being group (38.36%). Multivariable logistic regression analysis revealed that monthly personal income, living arrangement, social participation, dialysis time, post-dialysis fatigue, number of comorbidities, loneliness and personal mastery were identified as factors influencing the profiles. There is heterogeneity in social isolation among MHD patients. It is therefore necessary to implement targeted intervention measures based on the distinct characteristics of each subgroup to facilitate their social reintegration. Nurses should identify differences in social isolation among MHD patients. It is necessary to establish tripartite connections between families, hospitals and communities, and develop personalised psychosocial interventions to alleviate social isolation. The study identified distinct subgroups of social isolation among MHD patients, while emphasising the impact of psychological resources such as loneliness and personal mastery on social isolation. This may offer critical insights for nurses to develop targeted interventions for patients' social health. The study followed the STROBE guidelines for cross-sectional studies. No patient or public involvement. Show less
no PDF DOI: 10.1111/jan.70452
LPA
Dongli Chen, Hong Zhang, Yuqi Xiu +5 more · 2025 · Frontiers in psychiatry · Frontiers · added 2026-04-24
Stroke is a leading cause of mortality and disability globally, with post-stroke depression and post-stroke anxiety being common and significant complications that hinder recovery and adversely affect Show more
Stroke is a leading cause of mortality and disability globally, with post-stroke depression and post-stroke anxiety being common and significant complications that hinder recovery and adversely affect quality of life. Although these conditions frequently co-occur, their heterogeneity remains poorly understood. This study integrates the Health Ecology Model (HEM) and employs Latent Profile Analysis (LPA) to identify distinct psychological profiles of depression and anxiety among patients with acute ischemic stroke (AIS), as well as to investigate their multilevel determinants. Patients with AIS from a tertiary hospital in Guangdong Province, China, from January to November 2024 were included. Within one week of stroke onset, the data of sociodemographic, clinical characteristics, swallowing function, stroke severity, activities of daily living, resilience and social support were collected according to the HEM guidelines. The Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7 were used to assess the depression and anxiety symptoms of the patients three months after stroke onset. LPA was employed to identify distinct psychological profiles, and variables with a A total of 551 patients with AIS were included in the study, 49 were lost to follow-up or withdrew, resulting in a final analytic sample of 502 participants (91.11%). Three distinct psychological profiles were identified: no depression-anxiety (67.93%), high-risk depression-anxiety (21.12%) and major depression-anxiety (10.95%). In the multivariate analysis, the results indicated that occupation (OR = 0.61, 95% CI [0.40-0.93]), National Institutes of Health Stroke Scale (NIHSS, OR = 1.60, 95% CI [1.06-2.42]), Barthel Index (BI, OR = 1.67, 95% CI [1.27-2.19]) and hypertension (OR = 2.37, 95% CI [1.29-4.35]) were independent predictors of the high-risk depression-anxiety profile, while NIHSS (OR = 2.33, 95% CI [1.42-3.85]), BI (OR = 2.65, 95% CI [1.62-4.35]) and resilience (OR = 0.92, 95% CI [0.87-0.98]) were significantly associated with the major depression-anxiety profile. This study reveals significant heterogeneity in psychological distress among AIS survivors. Key predictors of post-stroke emotional comorbidity include occupation, hypertension, stroke severity, activities of daily living and low resilience. Early identification of high-risk individuals can significantly enhance screening and intervention strategies, particularly by focusing on symptoms such as anhedonia and nervousness. Future research should focus on longitudinal designs and objective biomarkers to better understand the mechanisms behind post-stroke emotional comorbidity. Show less
📄 PDF DOI: 10.3389/fpsyt.2025.1651116
LPA