👤 Yongxing Yang

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Also published as: A Yang, A-Li Yang, Acong Yang, Ai-Lun Yang, Aige Yang, Airong Yang, Aiting Yang, Aizhen Yang, Albert C Yang, Alex J T Yang, An-Qi Yang, Andrew Yang, Angang Yang, Angela Wei Hong Yang, Anni Yang, Aram Yang, B Yang, Baigao Yang, Baixia Yang, Bangjia Yang, Bao Yang, Baofeng Yang, Baoli Yang, Baoxin Yang, Baoxue Yang, Bei Yang, Beibei Yang, Biao Yang, Bin Q Yang, Bin Yang, Bing Xiang Yang, Bing Yang, Bingyu Yang, Bo Yang, Bohui Yang, Boo-Keun Yang, Bowen Yang, Boya Yang, Burton B Yang, Byoung Chul Yang, Caimei Yang, Caixia Yang, Caixian Yang, Caixin Yang, Can Yang, Canchai Yang, Ce Yang, Celi Yang, Chan Mo Yang, Chan-Mo Yang, Chang Yang, Chang-Hao Yang, Changheng Yang, Changqing Yang, Changsheng Yang, Changwei Yang, Changyun Yang, Chanjuan Yang, Chao Yang, Chao-Yuh Yang, Chaobo Yang, Chaofei Yang, Chaogang Yang, Chaojie Yang, Chaolong Yang, Chaoping Yang, Chaoqin Yang, Chaoqun Yang, Chaowu Yang, Chaoyun Yang, Chaozhe Yang, Chen Die Yang, Chen Yang, Cheng Yang, Cheng-Gang Yang, Chengfang Yang, Chenghao Yang, Chengkai Yang, Chengkun Yang, Chengran Yang, Chenguang Yang, Chengyingjie Yang, Chengzhang Yang, Chensi Yang, Chensu Yang, Chenxi Yang, Chenyu Yang, Chenzi Yang, Chi Yang, Chia-Wei Yang, Chieh-Hsin Yang, Chien-Wen Yang, Chih-Hao Yang, Chih-Min Yang, Chih-Yu Yang, Chihyu Yang, Ching-Fen Yang, Ching-Wen Yang, Chongmeng Yang, Chuan He Yang, Chuan Yang, Chuanbin Yang, Chuang Yang, Chuanli Yang, Chuhu Yang, Chun Yang, Chun-Chun Yang, Chun-Mao Yang, Chun-Seok Yang, Chunbaixue Yang, Chung-Hsiang Yang, Chung-Shi Yang, Chung-Yi Yang, Chunhua Yang, Chunhui Yang, Chunjie Yang, Chunjun Yang, Chunlei Yang, Chunli Yang, Chunmao Yang, Chunping Yang, Chunqing Yang, Chunru Yang, Chunxiao Yang, Chunyan Yang, Chunyu Yang, Congyi Yang, Cui Yang, Cuiwei Yang, Cunming Yang, Dai-Qin Yang, Dan Yang, Dan-Dan Yang, Dan-Hui Yang, Dandan Yang, Danlu Yang, Danrong Yang, Danzhou Yang, Dapeng Yang, De-Hua Yang, De-Zhai Yang, Decao Yang, Defu Yang, Deguang Yang, Dehao Yang, Dehua Yang, Dejun Yang, Deli Yang, Dengfa Yang, Deok Chun Yang, Deshuang Yang, Di Yang, Dianqiang Yang, Ding Yang, Ding-I Yang, Diya Yang, Diyuan Yang, Dong Yang, Dong-Hua Yang, Dongfeng Yang, Dongjie Yang, Dongliang Yang, Dongmei Yang, Dongren Yang, Dongshan Yang, Dongwei Yang, Dongwen Yang, DuJiang Yang, Eddy S Yang, Edwin Yang, Ei-Wen Yang, Emily Yang, Enlu Yang, Enzhi Yang, Eric Yang, Eryan Yang, Ethan Yang, Eunho Yang, Fajun Yang, Fan Yang, Fang Yang, Fang-Ji Yang, Fang-Kun Yang, Fei Yang, Feilong Yang, Feiran Yang, Feixiang Yang, Fen Yang, Feng Yang, Feng-Ming Yang, Feng-Yun Yang, Fengjie Yang, Fengjiu Yang, Fengjuan Yang, Fenglian Yang, Fengling Yang, Fengping Yang, Fengying Yang, Fengyong Yang, Fu Yang, Fude Yang, Fuhe Yang, Fuhuang Yang, Fumin Yang, Fuquan Yang, Furong Yang, Fuxia Yang, Fuyao Yang, G Y Yang, G Yang, Gan Yang, Gang Yang, Gangyi Yang, Gao Yang, Gaohong Yang, Gaoxiang Yang, Ge Yang, Gong Yang, Gong-Li Yang, Grace H Y Yang, Guan Yang, Guang Yang, Guangdong Yang, Guangli 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Hongyan Yang, Hongyu Yang, Hongyuan Yang, Hongyue Yang, Howard H Yang, Howard Yang, Hsin-Chou Yang, Hsin-Jung Yang, Hsin-Sheng Yang, Hua Yang, Hua-Yuan Yang, Huabing Yang, Huafang Yang, Huaijie Yang, Huan Yang, Huanhuan Yang, Huanjie Yang, Huanming Yang, Huansheng Yang, Huanyi Yang, Huarong Yang, Huaxiao Yang, Huazhao Yang, Hui Yang, Hui-Ju Yang, Hui-Li Yang, Hui-Ting Yang, Hui-Yu Yang, Hui-Yun Yang, Huifang Yang, Huihui Yang, Huijia Yang, Huijie Yang, Huiping Yang, Huiran Yang, Huixia Yang, Huiyu Yang, Hung-Chih Yang, Hwai-I Yang, Hye Jeong Yang, Hyerim Yang, Hyun Suk Yang, Hyun-Sik Yang, Ill Yang, Ivana V Yang, J S Yang, J Yang, James Y Yang, Jaw-Ji Yang, Jee Sun Yang, Jenny J Yang, Jerry Yang, Ji Hye Yang, Ji Yang, Ji Yeong Yang, Ji-chun Yang, Jia Yang, Jia-Ling Yang, Jia-Ying Yang, Jiahong Yang, Jiahui Yang, Jiajia Yang, Jiakai Yang, Jiali Yang, Jialiang Yang, Jian Yang, Jian-Bo Yang, Jian-Jun Yang, Jian-Ming Yang, Jian-Ye Yang, JianHua Yang, JianJun Yang, Jianbo Yang, Jiang-Min Yang, Jiang-Yan Yang, Jianing Yang, Jianke Yang, Jianli Yang, Jianlou Yang, Jianmin Yang, Jianming Yang, Jianqi Yang, Jianwei Yang, Jianyu Yang, Jiao Yang, Jiarui Yang, Jiawei Yang, Jiaxin Yang, Jiayan Yang, Jiayi Yang, Jiaying Yang, Jiayue Yang, Jichun Yang, Jie Yang, Jie-Cheng Yang, Jie-Hong Yang, Jie-Kai Yang, Jiefeng Yang, Jiehong Yang, Jieping Yang, Jiexiang Yang, Jihong Yang, Jimin Yang, Jin Yang, Jin-Jian Yang, Jin-Kui Yang, Jin-gang Yang, Jin-ju Yang, Jinan Yang, Jinfeng Yang, Jing Yang, Jing-Quan Yang, Jing-Yu Yang, Jingang Yang, Jingfeng Yang, Jinggang Yang, Jinghua Yang, Jinghui Yang, Jingjing Yang, Jingmin Yang, Jingping Yang, Jingran Yang, Jingshi Yang, Jingwen Yang, Jingya Yang, Jingyan Yang, Jingyao Yang, Jingye Yang, Jingyu Yang, Jingyun Yang, Jingze Yang, Jinhua Yang, Jinhui Yang, Jinjian Yang, Jinpeng Yang, Jinru Yang, Jinshan Yang, Jinsong Yang, Jinsung Yang, Jinwen Yang, Jinzhao Yang, Jiong Yang, Ju Dong Yang, Ju Young Yang, Juan Yang, Juesheng Yang, Jumei Yang, Jun J Yang, Jun Yang, Jun-Hua Yang, Jun-Xia Yang, Jun-Xing Yang, Junbo Yang, Jung Dug Yang, Jung Wook Yang, Jung-Ho Yang, Junhan Yang, Junjie Yang, Junlin Yang, Junlu Yang, Junping Yang, Juntao Yang, Junyao Yang, Junyi Yang, Kai Yang, Kai-Chien Yang, Kai-Chun Yang, Kaidi Yang, Kaifeng Yang, Kaijie Yang, Kaili Yang, Kailin Yang, Kaiwen Yang, Kang Yang, Kang Yi Yang, Kangning Yang, Karen Yang, Ke Yang, Keming Yang, Keping Yang, Kexin Yang, Kuang-Yao Yang, Kui Yang, Kun Yang, Kunao Yang, Kunqi Yang, Kunyu Yang, Kuo Tai Yang, L Yang, Lamei Yang, Lan Yang, Le Yang, Lei Yang, Lexin Yang, Leyi Yang, Li Chun Yang, Li Yang, Li-Kun Yang, Li-Qin Yang, Li-li Yang, LiMan Yang, Lian-he Yang, Liang Yang, Liang-Yo Yang, Liangbin Yang, Liangle Yang, Liangliang Yang, Lichao Yang, Lichuan Yang, Licong Yang, Liehao Yang, Lihong Yang, Lihua Yang, Lihuizi Yang, Lijia Yang, Lijie Yang, Lijuan Yang, Lijun Yang, Lili Yang, Lin Sheng Yang, Lin Yang, Lina Yang, Ling Ling Yang, Ling Yang, Lingfeng Yang, Lingling 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Ningli Yang, Pan Yang, Pan-Chyr Yang, Paul Yang, Peichang Yang, Peiran Yang, Peiyan Yang, Peiying Yang, Peiyuan Yang, Peizeng Yang, Peng Yang, Peng-Fei Yang, PengXiang Yang, Pengfei Yang, Penghui Yang, Pengwei Yang, Pengyu Yang, Phillip C Yang, Pin Yang, Ping Yang, Ping-Fen Yang, Pinghong Yang, Pu Yang, Q H Yang, Q Yang, Qi Yang, Qi-En Yang, Qian Yang, Qian-Jiao Yang, Qian-Li Yang, QianKun Yang, Qiang Yang, Qianhong Yang, Qianqian Yang, Qianru Yang, Qiaoli Yang, Qiaorong Yang, Qiaoyuan Yang, Qifan Yang, Qifeng Yang, Qiman Yang, Qimeng Yang, Qiming Yang, Qin Yang, Qinbo Yang, Qing Yang, Qing-Cheng Yang, Qingcheng Yang, Qinghu Yang, Qingkai Yang, Qinglin Yang, Qingling Yang, Qingmo Yang, Qingqing Yang, Qingtao Yang, Qingwu Yang, Qingya Yang, Qingyan Yang, Qingyi Yang, Qingyu Yang, Qingyuan Yang, Qiong Yang, Qiu Yang, Qiu-Yan Yang, Qiuhua Yang, Qiuhui Yang, Qiulan Yang, Qiuli Yang, Qiuxia Yang, Qiwei Yang, Qiwen Yang, Quan Yang, Quanjun Yang, Quanli Yang, Qun-Fang Yang, R Yang, Ran Yang, Ren-Zhi Yang, Renchi Yang, Renhua Yang, Renjun Yang, Renqiang Yang, Renzhi Yang, Ri-Yao Yang, Richard K Yang, Robert Yang, Rong Yang, Rongrong Yang, Rongxi Yang, Rongyuan Yang, Rongze Yang, Rui Xu Yang, Rui Yang, Rui-Xu Yang, Rui-Yi Yang, Ruicheng Yang, Ruifang Yang, Ruihua Yang, Ruilan Yang, Ruili Yang, Ruiqin Yang, Ruirui Yang, Ruiwei Yang, Rulai Yang, Ruming Yang, Run Yang, Runjun Yang, Runxu Yang, Runyu Yang, Runzhou Yang, Ruocong Yang, Ruoyun Yang, Ruyu Yang, S J Yang, Se-Ran Yang, Sen Yang, Senwen Yang, Seung Yun Yang, Seung-Jo Yang, Seung-Ok Yang, Shan Yang, Shangchen Yang, Shanghua Yang, Shangwen Yang, Shanzheng Yang, Shao-Hua Yang, Shaobin Yang, Shaohua Yang, Shaoling Yang, Shaoqi Yang, Shaoqing Yang, Sheng Sheng Yang, Sheng Yang, Sheng-Huei Yang, Sheng-Qian Yang, Sheng-Wu Yang, ShengHui Yang, Shenglin Yang, Shengnan Yang, Shengqian Yang, Shengyong Yang, Shengzhuang Yang, Shenhui Yang, Shi-Ming Yang, Shiaw-Der Yang, Shifeng Yang, Shigao Yang, Shijie Yang, Shiming Yang, Shipeng Yang, Shiping Yang, Shiu-Ju Yang, Shiyi Yang, Shizhong Yang, Shizhuo Yang, Shu Yang, ShuSheng Yang, Shuai Yang, Shuaibing Yang, Shuaini Yang, Shuang Yang, Shuangshuang Yang, Shucai Yang, Shufang Yang, Shuhua Yang, Shujuan Yang, Shujun Yang, Shulan Yang, Shulin Yang, Shuming Yang, Shun-Fa Yang, Shuo Yang, Shuofei Yang, Shuping Yang, Shuqi Yang, Shuquan Yang, Shurong Yang, Shushen Yang, Shuye Yang, Shuyu Yang, Si Yang, Si-Fu Yang, Sibao Yang, Sibo Yang, Sichong Yang, Sihui Yang, Sijia Yang, Siqi Yang, Sirui Yang, Sisi Yang, Sitao Yang, Siwen Yang, Siyi Yang, Siyu Yang, Sizhen Yang, Sizhu Yang, Song Yang, Song-na Yang, Songpeng Yang, Songye Yang, Soo Hyun Yang, Su Yang, Su-Geun Yang, Suhong Yang, Sujae Yang, Sujuan Yang, Suk-Kyun Yang, Sun Kyung Yang, Suwol Yang, Suxia Yang, Suyi Yang, Suyu Yang, Tai-Hui Yang, Tailai Yang, Tao Yang, Tengyun Yang, Thomas P Yang, Ti Yang, Tian Yang, Tianbao Yang, Tianfeng Yang, Tianjie Yang, Tianmin Yang, Tianpeng Yang, Tianqiong Yang, Tiantian Yang, Tianxin Yang, Tianyou Yang, Tianyu Yang, Tianze Yang, Tianzhong Yang, Ting Yang, Ting-Xian Yang, Tingting Yang, Tingyu Yang, Tong Yang, Tong Yi Yang, Tong-Xin Yang, Tonglin Yang, Tongren Yang, Tuanmin Yang, Ueng-Cheng Yang, W Yang, Wan-Chen Yang, Wan-Jung Yang, Wang Yang, Wannian Yang, Wei Qiang Yang, Wei Yang, Wei-Fa Yang, Wei-Xin Yang, Weidong Yang, Weiguang Yang, Weihan Yang, Weijian Yang, Weili Yang, Weimin Yang, Weiran Yang, Weiwei Yang, Weixian Yang, Weizhong Yang, Wen Yang, Wen Z Yang, Wen-Bin Yang, Wen-Chin Yang, Wen-He Yang, Wen-Hsuan Yang, Wen-Ming Yang, Wen-Wen Yang, Wen-Xiao Yang, WenKai Yang, Wenbo Yang, Wenchao Yang, Wending Yang, Wenfei Yang, Wenhong Yang, Wenhua Yang, Wenhui Yang, Wenjian Yang, Wenjie Yang, Wenjing Yang, Wenjuan Yang, Wenjun Yang, Wenli Yang, Wenlin Yang, Wenming Yang, Wenqin Yang, Wenshan Yang, Wentao Yang, Wenwen Yang, Wenwu Yang, Wenxin Yang, Wenxing Yang, Wenying Yang, Wenzhi Yang, Wenzhu Yang, William Yang, Woong-Suk Yang, Wu Yang, Wu-de Yang, X 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Yang, Ziheng Yang, Zijiang Yang, Zishan Yang, Zixia Yang, Zixuan Yang, Ziying Yang, Ziyou Yang, Ziyu Yang, Zong-de Yang, Zongfang Yang, Zongyu Yang, Zunxian Yang, Zuozhen Yang
articles
Yong Tan, Zixiong Zhang, Jinru Yang +8 more · 2025 · Ecotoxicology and environmental safety · Elsevier · added 2026-04-24
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nona Show more
At present, there is no consensus on the relationship between selenium (Se) exposure and human serum lipid metabolism. The etiological role of high-Se exposure in lipid markers, dyslipidemia, and nonalcoholic fatty liver (NAFLD) remains unclear. We used serum untargeted metabolomics analysis to evaluate whether high-Se exposure is cross-sectionally associated with lipid metabolism in adults from high-Se exposure area (n = 112) and control area (n = 101) in Hubei Province, China. An untargeted liquid chromatography/mass spectrometry (LC/MS)-based metabolomic analysis identified 144 differential pathways and yielded 204 differentially abundant metabolites, including 32 lipid metabolites associated with lipids profiles. To further explore the correlation between Se exposure and serum lipid metabolism, we measured serum levels of lipid profiles among all the people, including serum cholesterol (CHOL), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and apolipoprotein B (APOB). The average serum Se level of the high-Se exposure group was 537.18 μg/L, significantly higher than 72.98 μg/L in the control group (p < 0.0001). The measurement levels of serum TG, LDL-C, HDL-C, and APOB in the high-Se exposure group were 1.03 (0.76, 1.34) mmol/L, 2.25 ± 0.48 mmol/L, 1.12 ± 0.24 mmol/L, and 0.77 ± 0.15 g/L, respectively, while the control group were 1.13 (0.84, 1.80) mmol/L, 2.56 ± 0.61 mmol/L, 1.02 ± 0.22 mmol/L, and 0.83 ± 0.16 g/L, respectively (all p values <0.05). Correlation analysis showed a significant negative correlation between serum Se and CHOL (r = -0.201, p < 0.01), serum Se is also associated with metabolomics markers, the negative correlation includes glyceric acid and ect., the positive correlation includes phosphorylcholine and ect. Our study suggests that high-Se exposure is negatively associated with serum lipid profiles and decreases the risk of high-TC and HDL-C dyslipidemia. Show less
no PDF DOI: 10.1016/j.ecoenv.2025.117677
APOB
Chenxi Li, Xuhui Yang, Yan Zhong +4 more · 2025 · Translational oncology · Elsevier · added 2026-04-24
The relationship between serum lipids and prognosis of pancreatic cancer has not been confirmed. Our purpose in the study was to investigate the associations between serum lipids level and prognosis i Show more
The relationship between serum lipids and prognosis of pancreatic cancer has not been confirmed. Our purpose in the study was to investigate the associations between serum lipids level and prognosis in patients with pancreatic cancer. A retrospective study was performed on 286 pancreatic cancer patients who admitted to our hospital from January 1, 2017 to December 31, 2021. Serum lipids level were recorded. Clinical-pathological characteristics, oncologic outcomes, progression free survival (PFS) and overall survival (OS) were collected. The prognostic significance was determined by Kaplan-Meier analysis and Cox proportional hazards regression model. Regarding serum lipids level, compared to normal apolipoprotein B/ apolipoprotein A (ApoB/ApoA1), high ApoB/ApoA1 level indicated a shorter OS (HR:2.028, 95% CI: 1.174-2.504, P = 0.011) and a shorter PFS (HR:1.800, 95% CI: 1.076-3.009, P = 0.025). Other serum lipid molecules were not associated with PFS and OS. ApoB/ApoA1 might be an independent prognostic factor of pancreatic cancer. Show less
📄 PDF DOI: 10.1016/j.tranon.2024.102208
APOB
Lin Liu, Yidan Liu, Yu Tian +7 more · 2025 · Reproductive sciences (Thousand Oaks, Calif.) · Springer · added 2026-04-24
Recurrent implantation failure (RIF) is a complex and poorly understood clinical disorder characterized by failure to conceive after repeated embryo transfers. Endometrial receptivity (ER) is a prereq Show more
Recurrent implantation failure (RIF) is a complex and poorly understood clinical disorder characterized by failure to conceive after repeated embryo transfers. Endometrial receptivity (ER) is a prerequisite for implantation, and ER disorders are associated with RIF. However, little is known regarding the molecular mechanisms underlying ER in RIF. In the present study, RNA sequencing data from the mid-secretory endometrium of patients with and without RIF were analyzed to explore the potential long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) involved in RIF. The analysis revealed 213 and 1485 differentially expressed mRNAs and lncRNAs, respectively (fold change ≥ 2 and p < 0.05). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses indicated that these genes were mostly involved in processes related to immunity or inflammation. 5 key genes (TTR, ALB, TF, AFP, and CFTR) and a key module including 14 hub genes (AFP, ALB, APOA1, APOA2, APOB, APOH, FABP1, FGA, FGG, GC, ITIH2, SERPIND1, TF and TTR) were identified in the protein-protein interaction (PPI) network. The 5 key genes were used to further explore the lncRNA-miRNA-mRNA regulatory network. Finally, the drug ML-193 based on the 14 hub genes was identifed through the CMap. After ML-193 treatment, endometrial cell proliferation was increased, the hub genes were mostly down-regulated, and the ER marker HOXA10 was up-regulated. These results offer insights into the regulatory mechanisms of lncRNAs and mRNAs and suggest ML-193 as a therapeutic agent for RIF by enhancing ER. Show less
📄 PDF DOI: 10.1007/s43032-024-01630-8
APOB
Binlong Chen, Zhiying Huang, Zhongkun Cai +5 more · 2025 · Frontiers in veterinary science · Frontiers · added 2026-04-24
For small ruminants, meat quality-an economically significant characteristic-results from the combined effects of genetic, dietary, and physiological elements. However, the contribution of gastrointes Show more
For small ruminants, meat quality-an economically significant characteristic-results from the combined effects of genetic, dietary, and physiological elements. However, the contribution of gastrointestinal (GI) tract gene expression to meat quality remains unclear. Here, we performed bulk RNA-seq on 130 samples from Liangshan Black Sheep and Meigu Black Goats, including 10 GI tract segments and semitendinosus muscle, integrating these data with measurements of amino acid composition, fatty acid profiles, and volatile flavor compounds. We found distinct, segment-specific transcriptional programs across the GI tract, with major functional shifts at the rumen-reticulum, omasum-abomasum, and abomasum-duodenum transitions. In the ileum and jejunum, genes involved in lipid metabolism showed links to fatty acid profiles, whereas genes governing amino acid metabolism in the small intestine were connected to the amino acid composition of muscle. Cecum- and colon-enriched genes were linked to flavor precursor biosynthesis. Species-specific differences revealed that sheep muscle contained higher levels of key amino acids (Asp, Glu, Hyp, Cys, Tyr), whereas goats showed higher α-linolenic acid and other polyunsaturated fatty acids. This work establishes a gut-muscle transcriptomic axis in small ruminants, identifying candidate genes (e.g., Show less
📄 PDF DOI: 10.3389/fvets.2025.1687258
APOC3
Mengmeng Zhang, Xiang Mai, Shanghua Yang +7 more · 2025 · Foods (Basel, Switzerland) · MDPI · added 2026-04-24
Earthworms are valued as a dietary protein source in many regions. Earthworm protein can yield bioactive peptides, but enzymatic hydrolysis is inefficient by commercial proteases, and bioactivity deve Show more
Earthworms are valued as a dietary protein source in many regions. Earthworm protein can yield bioactive peptides, but enzymatic hydrolysis is inefficient by commercial proteases, and bioactivity development is still inadequate. This study developed a novel efficient method for degrading earthworm protein and investigated the lipid-lowering activity and mechanism of earthworm peptides. It was found that combining autolysis and alcalase exhibited a higher hydrolysis degree of earthworm protein of 43.64 ± 0.78% compared to using autolysis or alcalase only. The hydrolysate significantly reduced lipid accumulation in steatotic hepatocytes. LC-MS/MS results showed that the primary lipid-lowering peptides (EWPs) in the hydrolysate were small molecule peptides with molecular weights of 500-1000 Da and chain lengths of 4-7 amino acid residues. Western blot results demonstrated that EWP regulated the expression of lipid metabolism-related proteins, including APOC3, HMGCR, PCSK9, SREBP1, C/EBP-α, NPC1L1, PPAR-γ, and CYP7A1. Transcriptomic analysis and validation experiments indicated that the lipid-lowering activity of EWP was associated with its suppression of inflammatory factors, such as IL-6. This study presents an efficient enzymatic hydrolysis strategy for earthworm protein utilization, laying the foundation for its application in functional foods such as protein supplements, nutraceutical capsules, hypoallergenic infant formulas, and sports nutrition products. Show less
📄 PDF DOI: 10.3390/foods14132338
APOC3
Zhiteng Tian, Hui Luo, Yantao Chu +5 more · 2025 · Clinical pharmacokinetics · Springer · added 2026-04-24
The emerging N-acetylgalactosamine-small interfering RNA (GalNAc-siRNA) conjugates lead the way for liver-targeting delivery to exert gene-silencing therapeutic effects. To facilitate the drug develop Show more
The emerging N-acetylgalactosamine-small interfering RNA (GalNAc-siRNA) conjugates lead the way for liver-targeting delivery to exert gene-silencing therapeutic effects. To facilitate the drug development of GalNAc-siRNA, further detailed understanding of the key modality-specific mechanisms underlying the temporal discordance between pharmacokinetics and pharmacodynamics and how these processes can be extrapolated from animals to humans is needed. A mechanistic minimal physiologically based pharmacokinetic/pharmacodynamic (mPBPK-PD) model for an investigational new apolipoprotein C-III (APOC3)-silencing GalNAc-siRNA (RBD5044) was developed using available pharmacokinetic/pharmacodynamic (PK/PD) data. The aim was to explore hepatic-targeting delivery processes, the PK/PD relationship, and interspecies translation. First, multiple PK/PD datasets from mice were satisfactorily fitted using the mPBPK-PD model. Second, we translated the mice model to the monkey model, validated it, and then extrapolated from mice and monkeys to humans to simulate the PK/PD characteristics. We then mechanistically summarized and proposed the essential in vivo delivery processes of GalNAc-siRNA after subcutaneous administration (termed "ADUEB": Absorption [into system circulation], Disposition [distribution to liver target and elimination], Uptake [into hepatocytes], Escape [from endosome and lysosome compartments], and Binding [with argonaute2 to form RNA-induced silencing complex]). The targeting delivery coefficients of these processes achieved with the model using RBD5044 and the published data of another GalNAc-siRNA (fitusiran) quantitatively reflected the delivery efficiency and rate-limiting factors in targeted hepatocytes. This study successfully constructed the mPBPK-PD model and conducted interspecies extrapolation for a GalNAc-siRNA targeting APOC3. Promising quantitative insights into a hepatic-targeted GalNAc-siRNA delivery system are provided to characterize the unique temporal disconnection of PK/PD properties and evaluate the key in vivo delivery processes. It will promote model-informed strategies and quantitative mechanistic understanding to support efficient drug development, evaluation, and clinical application of this modality in the future. Show less
📄 PDF DOI: 10.1007/s40262-025-01513-4
APOC3
Bo-Yi Pan Lulji Taraqaz, Yu-Ting Hsu, Ping-Hsuan Tsai +4 more · 2025 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Dyslipidemia exacerbates pancreatic β-cell apoptosis, heightening the risk of type 2 diabetes (T2DM). Kansuinine A (KA), a diterpene from Euphorbia roots, exhibits antiapoptotic properties, suggestive Show more
Dyslipidemia exacerbates pancreatic β-cell apoptosis, heightening the risk of type 2 diabetes (T2DM). Kansuinine A (KA), a diterpene from Euphorbia roots, exhibits antiapoptotic properties, suggestive of its therapeutic potential against T2DM. In this study, we evaluated the protective effects of KA against apolipoprotein C3 (ApoC3)-rich low-density lipoprotein (LDL) (AC3RL)-induced β-cell apoptosis and its underlying mechanism of action. ApoE Show less
no PDF DOI: 10.1016/j.biopha.2025.118066
APOC3
Binyan Yu, Yanan Yang, Yijian Li +3 more · 2025 · Reproduction in domestic animals = Zuchthygiene · Blackwell Publishing · added 2026-04-24
The Tibetan sheep is a typical hypoxia-tolerant mammal, which lives on the plateau, at an altitude of between 2500 and 5000 m above sea level; the study of its hypoxic adaptation mechanism provides a Show more
The Tibetan sheep is a typical hypoxia-tolerant mammal, which lives on the plateau, at an altitude of between 2500 and 5000 m above sea level; the study of its hypoxic adaptation mechanism provides a reference for exploring the hypoxic adaptation mechanism of other animals. To grope for the genetic mechanism of adaptation to the hypoxic environment at the transcriptional level in Tibetan sheep testicular tissue, and to identify candidate genes and key pathways related to sheep adaptation, histological observation of testicular tissues from two sheep breeds was carried out using haematoxylin-eosin (HE) conventional staining. A total of 103 differentially expressed genes (DEGs) were authenticated in high altitude Tibetan sheep (ZYH) and low altitude Tibetan sheep (ZYM) by RNA sequencing technology (RNA-Seq), which included 50 up-regulated genes and 53 down-regulated genes. Functional analyses revealed several terms and pathways that were closely related to testis adaptation to the plateau. Several genes (including GGT5, AGTR2, EDN1, LPAR3, CYP2C19, IGFBP3, APOC3 and PKC1) were remarkably enriched in several pathways and terms, which may impact the Plateau adaptability of sheep by adjusting its reproductive activity and sexual maturation, and protecting Sertoli cells, various spermatocytes, and spermatogenesis processes. The results make a reasonable case for a better understanding of the molecular mechanisms of adaptation to altitude in sheep. Show less
no PDF DOI: 10.1111/rda.70037
APOC3
Danyu Chen, Keliang Xie, Chang Gao +6 more · 2025 · The Journal of nutritional biochemistry · Elsevier · added 2026-04-24
Prior research has highlighted the significant roles of circulating retinol, retinol-binding protein 4 (RBP4), and apolipoprotein C (ApoC) in metabolic health. This study investigates the joint associ Show more
Prior research has highlighted the significant roles of circulating retinol, retinol-binding protein 4 (RBP4), and apolipoprotein C (ApoC) in metabolic health. This study investigates the joint association of retinol and RBP4 with metabolic syndrome (MetS) and examines the potential mediating role of ApoCs in these relationships. This prospective study included 3,009 and 2,724 participants with baseline serum retinol and RBP4 data, respectively. Over a 9-year follow-up among 2,621 participants, 1,136, 127, 696, and 662 were categorized into MetS-free, recovered, incident MetS, and persistent MetS groups, respectively. Midway through the study, ApoC1-4 levels were measured in 2316 participants. Adjusted odds ratios (95% CIs) for the highest (vs. lowest) tertile of retinol and RBP4 levels were 3.63 (2.69-4.92) and 5.64 (4.05-7.92) for 9-year persistent MetS, respectively. The corresponding hazard ratios (95% CIs) were 1.67 (1.39-2.01) and 1.67(1.38, 2.03) for incident MetS, and 0.65 (0.41-1.03) and 0.44 (0.28, 0.70) for recovered MetS (all P-trends<.05). A synergistic association of retinol and RBP4 with MetS risk was observed for persistent MetS. Higher levels of retinol or RBP4 were associated with increased concentrations of ApoC1-4, which were linked to a greater risk of incident and persistent MetS. A newly developed composite score (ApoCS), derived from ApoC1-4 levels, explained 30.5% and 24.5% of the association between retinol or RBP4 and MetS, with ApoC2 and ApoC3 contributing predominantly to this connection. Our study identified notable positive correlations between serum retinol and RBP4 levels and MetS progression, explained by increases in circulating ApoC2 and ApoC3 within a Chinese cohort. Show less
no PDF DOI: 10.1016/j.jnutbio.2025.109892
APOC3
Yu-Xuan Peng, Hong-Zheng Li, Wen-Wen Yang +4 more · 2025 · Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica · added 2026-04-24
This study aims to investigate the anti-atherosclerotic mechanism of Maiguan Fukang Tablets(MGFK) by integrating ultra-high-performance liquid chromatography-quadrupole orbitrap mass spectrometry(UHPL Show more
This study aims to investigate the anti-atherosclerotic mechanism of Maiguan Fukang Tablets(MGFK) by integrating ultra-high-performance liquid chromatography-quadrupole orbitrap mass spectrometry(UHPLC-QE-MS), network pharmacology, and animal experiments. UHPLC-QE-MS identified 131 compounds in MGFK. Network pharmacology databases were utilized to retrieve drug targets and disease-related targets, and a "component-target-disease" network was constructed, yielding 418 overlapping potential therapeutic targets. These targets were further analyzed via protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment, which revealed significant associations primarily with inflammatory response, negative regulation of apoptotic process, and the phosphatidylinositol-3-kinase(PI3K)/protein kinase B(AKT) signaling pathway. Molecular docking demonstrated strong binding affinities between protein kinase B1(AKT1) and core active compounds including luteolin, liquiritigenin, apigenin, and kaempferol. An atherosclerosis(AS) model was established in ApoE~(-/-) mice by feeding a high-fat diet for 14 weeks, and mice were randomly divided into a model group, MGFK high-dose group, MGFK low-dose group, and atorvastatin group. Experimental results confirmed that MGFK significantly reduced aortic plaque area, decreased lipid and foam cell proportion within plaques, lowered serum total cholesterol(TC), and reduced the expression levels of tumor necrosis factor-α(TNF-α), interleukin(IL)-1β, and IL-6. Furthermore, MGFK decreased the apoptosis rate within plaques, upregulated B-cell lymphoma-2(BCL-2) expression, downregulated BCL-2-associated X protein(BAX) and cleaved caspase-3, and promoted the phosphorylation of PI3K and AKT. These findings suggest that MGFK exerts anti-atherosclerotic effects potentially by regulating the PI3K/AKT signaling pathway, thereby reducing apoptosis within plaques, lowering levels of inflammatory cytokines and blood lipids, and attenuating plaque size, lipid content, and foam cell formation. Show less
no PDF DOI: 10.19540/j.cnki.cjcmm.20250725.706
APOE
Min Zhao, Jiwei Jiang, Linlin Wang +8 more · 2025 · Frontiers in neuroscience · Frontiers · added 2026-04-24
Although previous studies have reported associations between gonadotropins, testosterone, and Alzheimer's disease (AD), their longitudinal relationships with cognitive decline and temporal lobe atroph Show more
Although previous studies have reported associations between gonadotropins, testosterone, and Alzheimer's disease (AD), their longitudinal relationships with cognitive decline and temporal lobe atrophy remain insufficiently characterized. This study examined the association between baseline hormone levels and cognitive decline and temporal lobe volume loss trajectories, and whether these associations vary by sex or This study included 490 participants (378 MCI/112 AD; 311 men/179 women; mean age = 75.01 ± 7.52) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Baseline plasma levels of gonadotropins (FSH, LH) and total testosterone (TT) were measured using Luminex xMAP multiplex immunoassay. Cognitive decline was assessed longitudinally through MMSE and ADAS-Cog 13 scores. Temporal lobe atrophy was quantified using tensor-based morphometry of 1.5T MRI scans, with bilateral temporal lobe volumes scaled to a normalized reference (1,000 = baseline). Linear mixed effects models were employed to relate baseline plasma hormones to longitudinal cognitive performance and temporal lobe volume. Longitudinal analyses showed that higher baseline FSH levels were associated with faster cognitive decline (MMSE: β = -0.025, The results indicate that in individuals across the AD spectrum, elevated gonadotropin levels may exert deleterious, domain-specific effects on cognitive decline or temporal lobe atrophy. Women with lower TT levels may experience faster cognitive progression. Although future studies incorporating additional longitudinal hormone measurements and cognitive trajectories are warranted, our results underscore the importance of gonadotropins and testosterone in AD progression. Show less
📄 PDF DOI: 10.3389/fnins.2025.1696274
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Rai-Hua Lai, Shiu-Ju Yang, Pei-Yi Hsu +5 more · 2025 · Nutrients · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/nu18010106
APOE
Yiming Tao, Zeyu Yang, Huimin Hou +4 more · 2025 · International journal of surgery (London, England) · added 2026-04-24
Sepsis remains a leading cause of mortality in critical care, with limited reliable biomarkers that reflect upstream pathophysiology and enable early risk stratification. Apolipoprotein E (ApoE), a li Show more
Sepsis remains a leading cause of mortality in critical care, with limited reliable biomarkers that reflect upstream pathophysiology and enable early risk stratification. Apolipoprotein E (ApoE), a lipid transporter with immune-regulatory functions, has shown inconsistent associations with sepsis outcomes. Its causal and clinically actionable role in sepsis risk requires clarification. We employed a multi-layered strategy integrating Mendelian randomization, colocalization, and phenome-wide association studies across five large proteogenomic cohorts (>500,000 individuals) to identify plasma proteins causally linked to sepsis. ApoE emerged as a top candidate and was validated in a clinical cohort of 291 ICU patients and in murine sepsis models. We assessed the relationship between ApoE levels and sepsis risk using logistic regression, restricted cubic spline models, and survival analyses, and explored underlying mechanisms via cytokine profiling, histopathology, and transcriptomics. ApoE was causally associated with sepsis risk in multiple independent datasets, supported by strong genetic colocalization (posterior probability for shared causal variant PP.H4 > 0.80). In ICU patients, both low (adjusted OR 12.74, 95% CI 5.72-28.36) and high ApoE levels (adjusted OR 4.54, 95% CI 2.25-9.16) were independently associated with increased sepsis risk compared to medium levels, forming a significant U-shaped pattern (P_nonlinear < 0.001). This biphasic risk was mirrored in murine models, where both hypo- and hyper-expression of ApoE aggravated systemic inflammation, organ injury, and mortality. LDL cholesterol mediated only ~ 20% of the ApoE-sepsis association, indicating lipid-independent mechanisms. Plasma ApoE functions as a biphasic, dose-sensitive modulator of host response to sepsis. Both deficiency and excess disturb immune homeostasis and increase susceptibility, underscoring the need for precision-guided ApoE modulation in sepsis management. These findings provide a mechanistically grounded biomarker candidate and highlight new avenues for personalized therapy. Prospective trials are warranted to evaluate ApoE-targeted strategies in sepsis care. Show less
no PDF DOI: 10.1097/JS9.0000000000004141
APOE
Yue Xu, Yuan Zhou, Kun Li +3 more · 2025 · Human genomics · BioMed Central · added 2026-04-24
Phosphorylation is a crucial post-translational modification mechanism that enhances proteomic diversity, and its malfunction has been confirmed to be associated with complex traits, especially brain Show more
Phosphorylation is a crucial post-translational modification mechanism that enhances proteomic diversity, and its malfunction has been confirmed to be associated with complex traits, especially brain disorders. One of the factors contributing to this malfunction is the missense mutations given that they may alter the peptides flanking the phosphorylated residues. However, the specific effects of these missense mutations on phosphorylation remain unclear. To ascertain these, a deep learning phosphorylation prediction model (DeepMEP), which is the first to be developed on a Chinese-brain-specific phosphorylation dataset (CBMAP), was established to bridge the phosphorylation and peptides. The impact of each missense mutation on phosphorylation was subsequently quantified based on the differences between the outputs of reference and mutant protein sequences. A permutation test adjusting for the confounding factors was finally employed to estimate the enrichment for high-impact mutations in disease-associated genomic loci. DeepMEP achieved superior predictive performance compared with other existing tools on both CBMAP and publicly available datasets. Enrichment analysis revealed the high-impact mutations were significantly enriched in GWAS signals for Alzheimer’s disease (AD) and Parkinson’s disease (PD). The corresponding genes of those missense mutations overlapping with GWAS included Our study demonstrated that DeepMEP effectively captured the impact of missense mutations on phosphorylation and highlighted an enrichment of high-impact mutations in AD- and PD-associated genomic loci. The online version contains supplementary material available at 10.1186/s40246-025-00898-4. Show less
📄 PDF DOI: 10.1186/s40246-025-00898-4
APOE
Qinhang Shen, Guangchao Gu, Dan Yang +1 more · 2025 · Genes · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/genes16121398
APOE
Wenqing Wang, Yue Jiang, Xuan Pan +5 more · 2025 · Cell death & disease · Nature · added 2026-04-24
Atherosclerosis (AS) is a prevalent chronic arterial disease characterized by excessive cholesterol accumulation in the arterial intima. While substantial progress has been made in elucidating its ris Show more
Atherosclerosis (AS) is a prevalent chronic arterial disease characterized by excessive cholesterol accumulation in the arterial intima. While substantial progress has been made in elucidating its risk factors and pathogenesis, the upstream signaling molecules that drive the initiation and progression of AS remain poorly understood. Analysis of monocyte samples from the GSE23746 database revealed that Histone Deacetylase 6 (HDAC6) expression was significantly downregulated in patients with carotid atherosclerosis compared to healthy controls. In vitro experiments further demonstrated that HDAC6 deficiency markedly promotes foam cell formation in macrophages, a process dependent on its deacetylase activity. Mechanistically, HDAC6 interacts with signal transducer and activator of transcription 3 (STAT3) and regulates its acetylation at K685, a critical modification that facilitates macrophage foam cell formation. Specifically, the loss of HDAC6-mediated deacetylation leads to increased STAT3-K685 acetylation, which in turn upregulates the expression of CD36 and SRA, thereby enhancing cholesterol uptake in macrophages. Our findings establish HDAC6 as a protective regulator in atherosclerosis, which maintains lipid metabolic homeostasis by modulating the STAT3-CD36/SR-A axis. We also observed that systemic HDAC6 knockout exacerbated atherosclerotic progression in high-fat diet-fed ApoE Show less
📄 PDF DOI: 10.1038/s41419-025-08344-y
APOE
Youjie Zeng, Noah Cook, Chenyu Yang +17 more · 2025 · medRxiv : the preprint server for health sciences · added 2026-04-24
Perform a large-scale Meta-analysis of Genetic data available from high-density single-nucleotide polymorphism (SNP) microarrays and whole-genome sequencing (WGS). Single-nucleus (sn) RNA-seq data fro Show more
Perform a large-scale Meta-analysis of Genetic data available from high-density single-nucleotide polymorphism (SNP) microarrays and whole-genome sequencing (WGS). Single-nucleus (sn) RNA-seq data from dorsolateral prefrontal cortex. 567,521 eligible participants for AD genetic association studies were selected from referred and volunteer samples, of which 119,852 were excluded for analysis exclusion criteria. 67 and 17 significant cell-type-gene pairs were identified in We identified a set of Show less
📄 PDF DOI: 10.64898/2025.12.02.25341367
APOE
Jingru Wang, Bo Yao, Yutian Zhang +13 more · 2025 · Journal of nanobiotechnology · BioMed Central · added 2026-04-24
Macrophage-like phenotype switching of vascular smooth muscle cells (VSMCs) is a crucial mechanism driving atherogenesis. Inhibition of a phenotype switch to macrophage-like cells is a promising strat Show more
Macrophage-like phenotype switching of vascular smooth muscle cells (VSMCs) is a crucial mechanism driving atherogenesis. Inhibition of a phenotype switch to macrophage-like cells is a promising strategy to prevent atherosclerosis (AS), and targeted nanotherapeutics represent one approach for implementing this strategy. To this end, we designed immunosuppressive oligodeoxynucleotide A151 functionalized selenium nanoparticles with a spearhead LacNAc (LN-A151-SeNPs) that target macrophage-like VSMCs. Nano characterization showed that the uniformity and stability of nanoparticles were optimized by modification with LacNAc and A151, resulting in an average diameter of 88.90 ± 1.45 nm, Zeta potentials of -21.1 ± 1.5 mV, a A151:Se molar ratio of 1:60 and mass ratio of 1.68:1. The effects of LN-A151-SeNPs on inhibiting VSMCs phenotype switching and attenuation of AS were investigated using [Image: see text] The online version contains supplementary material available at 10.1186/s12951-025-03925-7. Show less
📄 PDF DOI: 10.1186/s12951-025-03925-7
APOE
Chang Sheng, Rui Zhou, Hongcai Wang +4 more · 2025 · Journal of the American Heart Association · added 2026-04-24
Estimated pulse wave velocity (ePWV), a noninvasive marker of arterial stiffness, reflects vascular aging and has been associated with increased coronary artery disease (CAD) risk. However, the interp Show more
Estimated pulse wave velocity (ePWV), a noninvasive marker of arterial stiffness, reflects vascular aging and has been associated with increased coronary artery disease (CAD) risk. However, the interplay between ePWV and genetic factors, including polygenic risk score (PRS) and apolipoprotein E genotypes, in determining CAD susceptibility remains unclear. We analyzed data from the HRS (Health and Retirement Study), including 5856 participants (4741 White and 1115 Black individuals) without baseline CAD. ePWV was calculated, and genetic risk was assessed using PRS and apolipoprotein E genotyping. Cox proportional hazards models evaluated the associations between ePWV, genetic predisposition, and CAD incidence, with stratified analyses by race and sex. Mediation analyses explored underlying mechanisms. Elevated ePWV (≥10 m/s) was significantly associated with increased CAD risk (hazard ratio [HR], 1.50 [95% CI, 1.25-1.81], Vascular aging and genetic predisposition interact in complex ways to influence CAD risk, with notable variations across racial and sex subgroups. These findings highlight the need for personalized prevention strategies incorporating both vascular health and genetic risk profiling. Show less
📄 PDF DOI: 10.1161/JAHA.125.042610
APOE
Sunao Tanaka, Lynne R Wilkens, Loïc Le Marchand +9 more · 2025 · Journal of translational medicine · BioMed Central · added 2026-04-24
Bladder cancer (BCa) is a lethal cancer, but early-detection offers an opportunity to improve prognosis. Our objective was to develop a urine-based multi-marker panel for BCa detection across multiple Show more
Bladder cancer (BCa) is a lethal cancer, but early-detection offers an opportunity to improve prognosis. Our objective was to develop a urine-based multi-marker panel for BCa detection across multiple longitudinal cohort studies in a nested case-control study. Longitudinal cohorts included healthy participants enrolled in the Southern Community Cohort Study (SCCS), Singapore Chinese Health Study (SCHS), Shanghai Women/Men Health Study (SWMHS), and Multiethnic Cohort (MEC). We measured the levels of 10 protein biomarkers (A1AT, ANG, APOE, CA9, IL8, MMP9, MMP10, PAI1, SDC1, and VEGF) in spot-voided urine samples using the multiplex immunoassay Oncuria. Single urine specimens collected from 274 participants who would go on to develop BCa in the ensuing 3‒60 months (i.e., cases) were age/sex-matched to 274 cancer-free controls. We used generalized estimating equation models, logistic regression analysis, and random forest algorithms to analyze the data. Differences in the individual biomarker levels between cases and controls were noted for ANG at 12 months ( Additional testing is needed; however preliminary results demonstrate that a multiplex immunoassay may be able to facilitate the early detection of BCa in at-risk patients. Identification of BCa at an early stage may lead to improved patient outcomes. Using large multinational patient populations, we tested the performance of the Oncuria multiplex assay to accurately predict the risk of developing bladder cancer by simultaneously analyzing the concentrations of 10 protein biomarkers in urine samples. The online version contains supplementary material available at 10.1186/s12967-025-07511-1. Show less
📄 PDF DOI: 10.1186/s12967-025-07511-1
APOE
Dongliang Shi, Liang Chen, Chenhao Li +5 more · 2025 · Discover oncology · Springer · added 2026-04-24
This study aims to identify oxidative stress-related genes (OSGs) in papillary thyroid carcinoma (PTC) and their common targets with resveratrol. Oxidative stress-related differentially expressed gene Show more
This study aims to identify oxidative stress-related genes (OSGs) in papillary thyroid carcinoma (PTC) and their common targets with resveratrol. Oxidative stress-related differentially expressed genes (OS-DEGs) were identified by intersecting datasets. The screened core genes were utilized to construct a prognostic model, and their prognostic value, along with their associations with clinical pathological characteristics and immune infiltration, was assessed. Subsequently, the core targets at the intersection of resveratrol and oxidative stress (OS) in PTC were screened, and their binding properties with resveratrol were analyzed. By conducting cross-database analysis, 38 OS-DEGs were identified, and 3 core genes APOE、CDKN2A、APOD were determined. The prognostic model based on core genes exhibited robust prognostic capabilities. The core genes displayed significant correlations with various clinical pathological parameters and a range of immune cells. Additionally, 13 targets of resveratrol for antioxidative stress were screened from databases. 6 high-performing targets, JUN, TGFB1, BCL2, CDKN1A, FOS, ICAM1, were revealed by topological analysis, all exhibiting binding energies lower than - 5.0 kcal/mol. Our study is the pioneering research to provide new insights into the diagnosis, prognosis, and treatment of PTC through the analysis of OSGs, presenting potential clinical implications. Furthermore, this research reveals the molecular functions associated with resveratrol and its pharmacological targets regulating OS in PTC for the first time. Show less
📄 PDF DOI: 10.1007/s12672-025-04170-y
APOE
Hua Yang, Pan Xiong, Hongfei Song +1 more · 2025 · Angiology · SAGE Publications · added 2026-04-24
This study assessed the role of nucleotide-binding domain and leucine-rich repeat containing receptor, caspase recruitment domain containing 5 (NLRC5) in macrophages in atherosclerotic plaque formatio Show more
This study assessed the role of nucleotide-binding domain and leucine-rich repeat containing receptor, caspase recruitment domain containing 5 (NLRC5) in macrophages in atherosclerotic plaque formation in acute coronary syndromes (ACS) by modulating the nuclear factor-kappaB (NF-κB) cascade. Peripheral blood was obtained from ACS patients and matched controls, and NLRC5 expression and DNA methylation were analyzed. In vitro, peripheral blood mononuclear cells from donors were induced into macrophage-derived foam cells and transfected with small interfering RNA negative control (si-NC) or si-NLRC5 plasmids to assess foam cell formation and cytokine release. In vivo, ApoE Show less
no PDF DOI: 10.1177/00033197251392646
APOE
Qijun Wo, Jiafeng Shou, Jun Shi +4 more · 2025 · PloS one · PLOS · added 2026-04-24
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men, with challenges in diagnosis and treatment due to tumor heterogeneity. This study identifies palmitoylation-related si Show more
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men, with challenges in diagnosis and treatment due to tumor heterogeneity. This study identifies palmitoylation-related signature genes as potential diagnostic and therapeutic targets. Integrating GEO datasets, six differentially expressed genes (DEGs) linked to palmitoylation were identified. Machine learning algorithms (LASSO, RF, SVM) selected three core genes: TRPM4, LAMB3, and APOE. A diagnostic model based on these genes achieved an AUC of 0.929, demonstrating robust accuracy in distinguishing PCa from normal tissues. Functional analysis revealed roles in lipid metabolism and immune modulation, with ssGSEA highlighting correlations between key genes and immune cell infiltration. Experimental validation showed that LAMB3 overexpression suppressed PCa cell proliferation, migration, and invasion, while knockdown enhanced these processes. Molecular docking identified diethylstilbestrol as a potential therapeutic agent targeting LAMB3 and APOE. These findings emphasize the clinical relevance of palmitoylation-related genes in PCa diagnosis and therapy, offering novel biomarkers and insights for personalized treatment strategies. Show less
📄 PDF DOI: 10.1371/journal.pone.0338407
APOE
Zhiwang Zhang, Fan Yang, Wei Wang +7 more · 2025 · Molecular biomedicine · BioMed Central · added 2026-04-24
Mitochondria play an essential role in regulating various physiological functions including bioenergetics, calcium homeostasis, redox signaling, and lipid metabolism and also are involved in the patho Show more
Mitochondria play an essential role in regulating various physiological functions including bioenergetics, calcium homeostasis, redox signaling, and lipid metabolism and also are involved in the pathogenesis of cardiovascular diseases. However, the relationship between mitochondrial calcium homeostasis in vascular smooth muscle cells (VSMCs) and atherosclerosis remains poorly understood. Here, we demonstrate that cholesterol induces mitochondrial calcium overload and lipid accumulation in VSMCs, which is resulted from dysregulation of mitochondrial calcium uniporter (MCU), as evidenced by genetic and pharmacologic inhibition of MCU. Furthermore, MCU inhibitors alleviate Western diet-induced atherosclerosis in ApoE-/- mice. Mechanistically, high-fat and high-cholesterol diets induce the contact between mitochondria and the endoplasmic reticulum (ER) in VSMCs as indicated by transmission electron microscopy, proximity ligation assay and immunofluorescence staining, which increases the formation of mitochondria-associated membranes (MAMs), leading to Ca2 + release from the ER into the mitochondria and thus elevating Ca2 + in the mitochondria. Using mitochondrial calcium uptake 1 (MICU1) mutant and Ca2 + detection assay, we confirmed that this increased Ca2 + binds to MICU1, a blocker of MCU, to impair its ability to block MCU, thus enabling the MCU to remain open and resulting in mitochondrial calcium overload. Further, mitochondrial calcium overload dysregulates fatty acid β-oxidation by modulating medium-chain acyl-CoA dehydrogenase (ACADM), thereby leading to lipid deposition. The inhibition of MCU alleviates the pathological changes elecited by cholesterol. Our findings unveil the previously unrecognized role of MAM-MICU1-MCU axis in cholesterol-induced mitochondrial calcium overload and atherosclerosis, indicating that MCU represents a promising therapeutic target for the treatment of atherosclerosis. Show less
📄 PDF DOI: 10.1186/s43556-025-00384-2
APOE
Shijun Shen, Zhiqiang Li, Hong Yang +3 more · 2025 · Clinical and experimental medicine · Springer · added 2026-04-24
Pancreatic ductal adenocarcinoma (PAAD) metastasis is driven by complex tumor-microenvironment interactions. Here, we integrated single-cell and bulk transcriptomic analyses of 104,855 cells from 10 p Show more
Pancreatic ductal adenocarcinoma (PAAD) metastasis is driven by complex tumor-microenvironment interactions. Here, we integrated single-cell and bulk transcriptomic analyses of 104,855 cells from 10 patients to delineate the cellular and molecular landscape of primary versus metastatic PAAD. We identified metastasis-associated epithelial (LMO7⁺, TOP2A⁺, PIGR⁺), fibroblast (IGKC⁺, RGS5⁺), and M2-like macrophage (APOE⁺, CD14⁺, FOLR2⁺, SPP1⁺) subpopulations, validated via bulk deconvolution. Functional analyses revealed upregulated Wnt signaling, epithelial-mesenchymal transition, and angiogenesis in metastatic epithelial and fibroblast compartments. Intercellular communication analysis highlighted SPP1-mediated macrophage-epithelial/fibroblast crosstalk involving key receptor-ligand pairs, contributing to immune suppression and metastatic niche formation. Integrating gene expression and cell proportions, we developed a prognostic model with high predictive accuracy (C-index > 0.85), stratifying patients into risk groups with distinct immune landscapes. Furthermore, PTK6 was identified as a driver of PAAD proliferation, migration, and invasion. Collectively, our study elucidates TME-driven mechanisms of PAAD metastasis, identifies prognostic and therapeutic targets, and provides a framework for precision intervention. Show less
📄 PDF DOI: 10.1007/s10238-025-01974-8
APOE
Chenwen Li, Yidan Chen, Yuan Li +9 more · 2025 · Acta pharmaceutica Sinica. B · Elsevier · added 2026-04-24
Accumulating evidence has demonstrated that nucleic acid-based therapies are promising for atherosclerosis. However, nearly all nucleic acid delivery systems developed for atherosclerosis necessitate Show more
Accumulating evidence has demonstrated that nucleic acid-based therapies are promising for atherosclerosis. However, nearly all nucleic acid delivery systems developed for atherosclerosis necessitate injection, which results in rapid elimination and poor patient compliance. Consequently, oral delivery strategies capable of targeting atherosclerotic plaques are imperative for nucleic acid therapeutics. Herein we report the development of yeast-derived capsules (YCs) packaging an antisense oligonucleotide (AM33) targeting microRNA-33 (miR-33) for the oral treatment of atherosclerosis. YCs provide stability for AM33, preventing its premature release in the gastrointestinal tract. AM33-containing YCs, defined as YAM33, showed high transfection in macrophages, thus promoting cholesterol efflux and inhibiting foam cell formation by regulating the target genes/proteins of miR-33. Orally delivered YAM33 effectively accumulated within atherosclerotic plaques in Show less
📄 PDF DOI: 10.1016/j.apsb.2025.07.039
APOE
Liugui Chen, Suyu Yang, Di Wang +1 more · 2025 · Frontiers in immunology · Frontiers · added 2026-04-24
Glaucoma is a neurodegenerative disease characterized by the progressive loss of retinal ganglion cell and optic nerve damage. Recent studies have highlighted the pivotal role of microglia in the onse Show more
Glaucoma is a neurodegenerative disease characterized by the progressive loss of retinal ganglion cell and optic nerve damage. Recent studies have highlighted the pivotal role of microglia in the onset and progression of glaucoma. This review aims to elucidate the key mechanisms of microglial activation in glaucoma and assess its potential as a therapeutic target for novel treatment strategies. Microglia activation in glaucoma is multifactorial, driven by biomechanical, metabolic, and inflammatory signals. Activated microglia contribute to both neuroinflammatory injury and neuroprotective responses. Their interaction with other kinds of cell establishes a dynamic inflammatory signaling network that exacerbates retinal ganglion cell loss. Furthermore, emerging evidence suggests that key targets in microglial activation, such as APOE, LGALS3, CX3CR1, etc. play critical roles in disease progression, revealing promising targets for therapeutic intervention. Microglia act as central regulators of the retinal immune microenvironment in glaucoma. Their dual role in neurotoxicity and neuroprotection is shaped by complex interactions with other kinds of cell. Targeting microglial activation state and restoring metabolic homeostasis represent promising strategies for the development of pressure-independent treatments for glaucoma. Show less
📄 PDF DOI: 10.3389/fimmu.2025.1685495
APOE
Jiage Gao, Lin Liu, Zifeng Yang +2 more · 2025 · Behavioral sciences (Basel, Switzerland) · MDPI · added 2026-04-24
Mild cognitive impairment (MCI) represents a heterogeneous state between normal aging and dementia, with varied transition pathways. While factors influencing MCI progression are known, their role in Show more
Mild cognitive impairment (MCI) represents a heterogeneous state between normal aging and dementia, with varied transition pathways. While factors influencing MCI progression are known, their role in cognitive reversal is unclear. This study analyzed 756 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, classified as progressive MCI (pMCI, N = 272, mean age = 75.10 ± 7.34 years), reversible MCI (rMCI, N = 52, mean age = 69.94 ± 7.98 years) and stable MCI (sMCI, N = 432, mean age = 73.34 ± 7.44 years) based on 36-month follow-up. We compared demographic, lifestyle, clinical, cognitive, neuroimaging, and biomarker data across groups and developed a prediction model. Patients in the rMCI group were significantly younger and had a higher level of education compared with those in the pMCI group. Memory, general cognition, daily functional activities, and hippocampal volume effectively distinguished all three groups. In contrast, Aβ, tau, and other brain regions were able to distinguish only between progressive and non-progressive cases. Informant-reported Everyday Cognition (Ecog) scales outperformed self-reported Ecog scales in differentiating subtypes and predicting progression. Multinomial regression revealed that higher education, larger hippocampal volume, and lower daily functional impairment were associated with reversion, whereas Show less
📄 PDF DOI: 10.3390/bs15111552
APOE
Lifang Chen, Wei Zhang, Huan Chen +11 more · 2025 · Cell death and differentiation · Nature · added 2026-04-24
Histone deacetylase 3 (HDAC3) is an epigenetic modifying enzyme closely linked to the development of atherosclerosis. Endothelial inflammation is a critical factor in atherosclerosis. However, the rol Show more
Histone deacetylase 3 (HDAC3) is an epigenetic modifying enzyme closely linked to the development of atherosclerosis. Endothelial inflammation is a critical factor in atherosclerosis. However, the role of HDAC3 in mediating epigenetic modifications and regulating endothelial inflammation in atherosclerosis remains unclear. This study aims to investigate the impact of HDAC3 on endothelial inflammation and its contribution to atherosclerosis. Firstly, single-cell transcriptomic analysis identified elevated expression of HDAC3 and nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) in inflammatory endothelial cells of atherosclerotic plaques in symptomatic patients. Endothelial-specific knockout HDAC3 in an apolipoprotein E knockout (ApoE Show less
📄 PDF DOI: 10.1038/s41418-025-01620-6
APOE
Jing Liu, Junshuang Wang, Shuang Lv +7 more · 2025 · PloS one · PLOS · added 2026-04-24
Radiation-induced brain injury (RIBI) is a significant complication following radiotherapy for brain tumors, leading to neurocognitive deficits and other neurological impairments. This study aims to i Show more
Radiation-induced brain injury (RIBI) is a significant complication following radiotherapy for brain tumors, leading to neurocognitive deficits and other neurological impairments. This study aims to identify potential biomarkers and therapeutic targets for RIBI by utilizing advanced proteomic techniques to explore the molecular mechanisms underlying RIBI. A rat model of RIBI was established and subjected to whole-brain irradiation (30 Gy). Tandem mass tagging (TMT)-based quantitative proteomics, combined with high-resolution mass spectrometry, was used to identify differentially expressed proteins (DEPs) in the brain tissues of irradiated rats. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to identify the biological processes and pathways involved. Protein-protein interaction (PPI) networks were constructed to identify key hub proteins. A total of 35 DEPs were identified, including PHLDA3, APOE and CPE. GO enrichment analysis revealed that the DEPs were mainly involved in lipid transport, cell adhesion, and metabolic processes. KEGG analysis highlighted the enrichment of pathways related to metabolism, tight junctions, and PPAR signaling. APOE was identified as a key hub protein through PPI network analysis, indicating its potential role in RIBI pathophysiology. Immunohistochemistry further validated the increased expression of PHLDA3, APOE, and CPE in the brain tissue of irradiated rats. This study provides valuable insights into the molecular mechanisms of RIBI by identifying key proteins and their associated pathways. The findings suggest that these proteins, particularly APOE and PHLDA3, could serve as potential biomarkers and therapeutic targets for clinical intervention in RIBI. These results not only enhance our understanding of RIBI's molecular pathology but also open new avenues for the development of targeted therapies to mitigate radiation-induced neurotoxicity. Show less
📄 PDF DOI: 10.1371/journal.pone.0337608
APOE