👤 Shuang Zhou

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Also published as: Aiping Zhou, Aiwu Zhou, Alicia Y Zhou, An Zhou, Ang Zhou, Anna Y Zhou, Annan Zhou, Ao Zhou, Aojia Zhou, Aoshuang Zhou, Apei Zhou, Baiwan Zhou, Bao-Sen Zhou, Baohua Zhou, Baojuan Zhou, Baosen Zhou, Beixian Zhou, Beiyi Zhou, Bin Zhou, Bincheng Zhou, Bing Zhou, Bingbing Zhou, Binghai Zhou, Bingqian Zhou, Bingqing Zhou, Bingying Zhou, Binhua P Zhou, Binhua Zhou, Birong Zhou, Bo Zhou, Bo-Ya Zhou, Bo-Yang Zhou, Bubo Zhou, C Zhou, C-J Zhou, Can Zhou, Carl Zhou, Cefan Zhou, Chang Zhou, Chang-Yin Zhou, Changfan Zhou, Changhua Zhou, Changqi Zhou, Changrui Zhou, Changshuai Zhou, Changwen Zhou, Chao Zhou, Chen-Hui Zhou, Chen-Liang Zhou, Chenchen Zhou, Cheng Zhou, Chengji J Zhou, Chenhao Zhou, Chenkang Zhou, Chenqi Zhou, Chenxia Zhou, Chong Zhou, Chong-zhi Zhou, Chongwei Zhou, ChuHuan Zhou, Chuan-Min Zhou, Chuan-Wei Zhou, Chuan-Xiang Zhou, Chuan-chuan Zhou, Chuanen Zhou, Chuanman Zhou, Chuhao Zhou, Chun-Man Zhou, Chun-Ni Zhou, Chunlei Zhou, Chunlin Zhou, Chunni Zhou, Chunxian Zhou, Chunxiu Zhou, Chunyu Zhou, Chunzhuang Zhou, Chuyu Zhou, Cui Zhou, Cuiqi Zhou, Da Zhou, Daijun Zhou, Daizhan Zhou, Dan Zhou, Danmei Zhou, Danxia Zhou, Dao Zhou, David Zhou, Dawei Zhou, Daxin Zhou, Degang Zhou, Dejun Zhou, Dezheng Zhou, Dingan Zhou, Dingzi Zhou, Dong-Sheng Zhou, Dongdong Zhou, Donger Zhou, Dongfang Zhou, Donghai Zhou, Dongjie Zhou, Dongmei Zhou, Dongsheng Zhou, Duanfang Zhou, Duo-Qi Zhou, Duoqi Zhou, Enchen Zhou, Ershun Zhou, F Zhou, Fachen Zhou, Fan Zhou, Fanfan Zhou, Fang Zhou, Fangfang Zhou, Fangli Zhou, Fangting Zhou, Fei Zhou, Feixue Zhou, Feiye Zhou, Feng Zhou, Feng-Quan Zhou, Fenghua Zhou, Fengrui Zhou, Fengyun Zhou, Fenling Zhou, Fu-Ling Zhou, Fude Zhou, Fuling Zhou, Fusheng Zhou, Fuxiang Zhou, Fuyou Zhou, G Zhou, Gang Zhou, Grace Guoying Zhou, Guangji Zhou, Guangjun Zhou, Guangming Zhou, Guangqian Zhou, Guangzhou Zhou, Gui-Feng Zhou, Guifeng Zhou, Guiju Zhou, Guili Zhou, Guiting Zhou, Guo Zhou, Guo-Kun Zhou, Guohong Zhou, Guohua Zhou, Guoli Zhou, Guoyu Zhou, Guyue Zhou, H Zhou, Haibo Zhou, Haihong Zhou, Haihua Zhou, Haijing Zhou, Haimei Zhou, Hairui Zhou, Haixu Zhou, Haiyan Zhou, Haiyuan Zhou, Haiyue Zhou, Han Zhou, Hang Zhou, Hang-Yu Zhou, Hangfan Zhou, Hanshen Zhou, Hanxiao Zhou, Hao Zhou, Hao-Min Zhou, Haobo Zhou, Haonan Zhou, Haoxiong Zhou, Haoyuan Zhou, He Zhou, Helen Zhou, HengCui Zhou, Heying Zhou, Hong Zhou, Hong-Yu Zhou, Honghong Zhou, Hongji Zhou, Honglei Zhou, Hongli Zhou, Hongmei Zhou, Hongmin Zhou, Hongshan Zhou, Hongwei Zhou, Hongwen Zhou, Hongyan Zhou, Hou-De Zhou, Hu Zhou, Hua Ying Zhou, Hua Zhou, Hua-Bang Zhou, Huadong Zhou, Huaijun Zhou, Huamao Zhou, Huan Zhou, Huangao Zhou, Huanjin Zhou, Huanyu Zhou, Huaqiang Zhou, Hui Zhou, Hui-Fen Zhou, Huifang Zhou, Huifen Zhou, Huihui Zhou, Huimin Zhou, Huinian Zhou, Huiqiang Zhou, Huiwen Zhou, J Zhou, Jeff Xiwu Zhou, Ji Zhou, Ji-Chao Zhou, Ji-Ying Zhou, Jia Zhou, Jia-Guo Zhou, Jia-le Zhou, Jiahe Zhou, Jiahua Zhou, Jiajie Zhou, Jiale Zhou, Jiamei Zhou, Jian Zhou, Jian-Peng Zhou, JianJiang Zhou, Jianan Zhou, Jianfen Zhou, Jianfeng Zhou, Jiang-Ning Zhou, Jiangfei Zhou, Jianghao Zhou, Jianghong Zhou, Jianghui Zhou, Jianglin Zhou, Jiangqiao Zhou, Jianguo Zhou, Jianhua Zhou, Jianling Zhou, Jianmin Zhou, Jianqing Zhou, Jianshe Zhou, Jianwei Zhou, Jianying Zhou, Jianzhong Zhou, Jiaqi Zhou, Jiaru Zhou, Jiawang Zhou, Jiawei Zhou, Jiawen Zhou, Jiaxi Zhou, Jiaxiang Zhou, Jiaxin Zhou, Jiayan Zhou, Jiayi Zhou, Jiayin Zhou, Jie Zhou, Jiechao Zhou, Jiefu Zhou, Jieru Zhou, Jieyan Zhou, Jieyu Zhou, Jin Zhou, Jin-Ting Zhou, Jin-Yong Zhou, JinQiu Zhou, Jing Zhou, Jing-Wei Zhou, Jing-Xuan Zhou, Jingbo Zhou, Jingjie Zhou, Jingjing Zhou, Jingjun Zhou, Jingpei Zhou, Jingqi Zhou, Jingwen Zhou, Jingyi Zhou, Jingyu Zhou, Jingyuan Zhou, Jinting Zhou, Jinyi Zhou, Jiuyao Zhou, Jiyong Zhou, John Zhou, Ju Zhou, Juan Zhou, Juanjuan Zhou, Jue-Yu Zhou, Julian Q Zhou, Jun Zhou, Jun-Min Zhou, Jun-Ying Zhou, Jun-Yu Zhou, Jundong Zhou, Junfeng Zhou, Jungu Zhou, Junguo Zhou, Junhe Zhou, Junjie Zhou, Junjun Zhou, Junting Zhou, Junya Zhou, Junyu Zhou, Justin Zhou, Juying Zhou, Kaicheng Zhou, Kaixia Zhou, Kaixin Zhou, Kaiyu Zhou, Kan Zhou, Ke Zhou, Kecheng Zhou, Kefu Zhou, Kejin Zhou, Kexun Zhou, Lamei Zhou, Lan Zhou, Lang Zhou, Lanlan Zhou, Lanping Zhou, Lanqi Zhou, Laura Y Zhou, Le Zhou, Lei Zhou, Lei-Lei Zhou, Li Zhou, Li-Jun Zhou, Liang Zhou, Liangdong Zhou, Liangfu Zhou, Liangrui Zhou, Liangxue Zhou, Liangyu Zhou, Libin Zhou, Libing Zhou, Libo Zhou, Liche Zhou, Lihong Zhou, Lihuan Zhou, Lijun Zhou, Lili Zhou, Limin Zhou, Lin Zhou, Lina Zhou, Linda Zhou, Ling Zhou, Ling-Yun Zhou, Linglin Zhou, Lingshan Zhou, Lingyi Zhou, Lingyun Zhou, Linjun Zhou, Linnan Zhou, Linran Zhou, Lipeng Zhou, Liqun Zhou, Lisha Zhou, Lisheng Zhou, Liting Zhou, Liufang Zhou, Liuqing Zhou, Liuxin Zhou, Lixin Zhou, Liye Zhou, Long Zhou, Lu Zhou, Lufang Zhou, Luling Zhou, Luming Zhou, Lunni Zhou, Luo-Qi Zhou, Luting Zhou, M M Zhou, Maoge Zhou, Maotian Zhou, Mei Zhou, Meijing Zhou, Meilan Zhou, Meiqi Zhou, Meirong Zhou, Meiyi Zhou, Meng-Tao Zhou, Meng-Yao Zhou, Menghua Zhou, Mengkai Zhou, Menglong Zhou, Mengna Zhou, Mengqi Zhou, Mengqian Zhou, Mengze Zhou, Mi Zhou, Miao Zhou, Min Zhou, Ming Zhou, Ming-Ju Zhou, Ming-Ming Zhou, Ming-Sheng Zhou, Mingfeng Zhou, Minglei Zhou, Minglian Zhou, Mingmei Zhou, Mingming Zhou, Mingping Zhou, Mingqi Zhou, Minling Zhou, Minyi Zhou, Molin Zhou, Na Zhou, Nan Zhou, Neng Zhou, Ni Zhou, Nian Zhou, Nianwei Zhou, Ning Zhou, Ningying Zhou, Niuniu Zhou, P Zhou, Pei Zhou, Peng Zhou, Penghui Zhou, Pijun Zhou, Ping Zhou, Ping-Kun Zhou, Pingkun Zhou, Pingxi Zhou, Pingxin Zhou, Puhui Zhou, Q Zhou, Qi Zhou, Qian Zhou, Qiang Zhou, Qianxin Zhou, Qiao Zhou, Qiaoxia Zhou, Qidong Zhou, Qin Zhou, Qin-Yi Zhou, Qing Zhou, Qing-Bing Zhou, Qing-Qing Zhou, Qingbing Zhou, Qingbo Zhou, Qingchun Zhou, Qinghua Zhou, Qingniao Zhou, Qingnv Zhou, Qingping Zhou, Qingtong Zhou, Qingxin Zhou, Qingyu Zhou, Qiong Zhou, Qiu-Min Zhou, Qiu-Zhi Zhou, Qiyang Zhou, Qiyin Zhou, Quan Zhou, Qun Zhou, R B Zhou, Ranran Zhou, Raorao Zhou, Ren Zhou, Rong Zhou, Rong-Yan Zhou, Rongbin Zhou, Rongjia Zhou, Rongxian Zhou, Rongxuan Zhou, Rongyan Zhou, Rouxi Zhou, Ru Zhou, Ruchen Zhou, Rui Zhou, Ruihai Zhou, Ruijun Zhou, Ruimei Zhou, Ruisi Zhou, Runjin Zhou, Ruyi Zhou, S A Zhou, S R Zhou, S Zhou, S-G Zhou, Sa Zhou, Sanshun Zhou, Sha Zhou, Shanshan Zhou, Shao-Lai Zhou, Shaobo Zhou, Shaoli Zhou, Shaolong Zhou, Sheng-Nan Zhou, Shenghua Zhou, Shenghui Zhou, Shengwen Zhou, Shengyang Zhou, Shengyi Zhou, Shenping Zhou, Shiao Zhou, Shibo Zhou, Shiyi Zhou, Shu Zhou, Shuaishuai Zhou, Shuaiyang Zhou, Shuling Zhou, Shumin Zhou, Shun Zhou, Shuo Zhou, Si Zhou, Si-Qi Zhou, Siquan Zhou, Sirui Zhou, Song Zhou, Songhui Zhou, Sufang Zhou, Sumei Zhou, Suqing Zhou, Suzhen Zhou, T Zhou, Tai-Cheng Zhou, Taimei Zhou, Tao Zhou, Tengxiao Zhou, Ti Zhou, Tian-Li Zhou, Tianhua Zhou, Tianqiong Zhou, Tianrong Zhou, Tianxing Zhou, Tianyan Zhou, Tianyu Zhou, Tiger Zhou, Ting Zhou, Tingting Zhou, Tong Zhou, Vincent Zhou, W Zhou, Wan-hao Zhou, Wang Zhou, Wei Zhou, Weihua Zhou, Weihui Zhou, Weijiao Zhou, Weijie Zhou, Weiming Zhou, Weinan Zhou, Weiqiang Zhou, Weishang Zhou, Weiwei Zhou, Weiying Zhou, Wen Zhou, Wen-Chao Zhou, Wen-Hao Zhou, Wen-Jie Zhou, Wen-Quan Zhou, Wenbin Zhou, Wenbo Zhou, Wenchao Zhou, Wenfang Zhou, Wenhao Zhou, Wenjie Zhou, Wenjing Zhou, Wenke Zhou, Wenqing Zhou, Wenrong Zhou, Wenwen Zhou, Wenxing Zhou, Wenyu Zhou, Wenzong Zhou, Wesley Zhou, Wu Zhou, Wuduo Zhou, Wuyuan Zhou, X F Zhou, X Q Zhou, X-T Zhou, Xi Zhou, Xia Zhou, Xia-Bo Zhou, Xiang Zhou, Xiangda Zhou, Xiangdong Zhou, Xianghai Zhou, Xiangrong Zhou, Xianguo Zhou, Xiangyu Zhou, Xiangyuan Zhou, Xianhu Zhou, Xianhua Zhou, Xianhui Zhou, Xianjing Zhou, Xianliang Zhou, Xianxiao Zhou, Xiao Zhou, Xiao-Hai Zhou, Xiao-Ting Zhou, Xiao-Yu Zhou, Xiaobo Zhou, Xiaochuan Zhou, Xiaochun Zhou, Xiaofeng Zhou, Xiaohai Zhou, Xiaohan Zhou, Xiaohui Zhou, Xiaojing Zhou, Xiaolei Zhou, Xiaoli Zhou, Xiaolin Zhou, Xiaoling Zhou, Xiaomao Zhou, Xiaoming Zhou, Xiaonan Zhou, Xiaopu Zhou, Xiaoqian Zhou, Xiaorong Zhou, Xiaorui Zhou, Xiaoshu Zhou, Xiaosu Zhou, Xiaotong Zhou, Xiaowen Zhou, Xiaoxi Zhou, Xiaoxia Zhou, Xiaoxue Zhou, Xiaoyan Zhou, Xiaoye Zhou, Xiaoying Zhou, Xiaozhong Zhou, Xidan Zhou, Xin Tong Zhou, Xin Zhou, Xin-Rong Zhou, Xin-Yu Zhou, Xin-Yue Zhou, Xingtao Zhou, Xinhong Zhou, Xinhua Zhou, Xinming Zhou, Xinyan Zhou, Xinyao Zhou, Xinyi Zhou, Xinyue Zhou, Xinzhi Zhou, Xiqiu Zhou, Xiu-Ping Zhou, Xiuhong Zhou, Xiuling Zhou, Xiuping Zhou, Xiuteng Zhou, Xiyi Zhou, Xu Yu Zhou, Xu Zhou, Xu-Hua Zhou, Xuan Zhou, Xuanchen Zhou, Xuchang Zhou, Xue Dong Zhou, Xue Zhou, Xue-Yan Zhou, Xuedong Zhou, Xuefeng Zhou, Xuejie Zhou, Xueli Zhou, Xueliang Zhou, Xueqin Zhou, Xueqing Zhou, Xueshi Zhou, Xujie Zhou, Xun Zhou, Xuyu Zhou, Y J Zhou, Y Zhou, Y-L Zhou, Yachuan Zhou, Yadi Zhou, Yahui Zhou, Yajun Zhou, Yan Zhou, Yan-Yan Zhou, Yanbing Zhou, Yandong Zhou, Yanfen Zhou, Yang Zhou, Yangbo Zhou, Yangying Zhou, Yanhao Zhou, Yanheng Zhou, Yanhua Zhou, Yanjiao Zhou, Yanjie Zhou, Yanli Zhou, Yanling Zhou, Yanmeng Zhou, Yanqiu Zhou, Yanrong Zhou, Yanyi Zhou, Yao Zhou, Yaping Zhou, Yaqi Zhou, Yating Zhou, Yeyun Zhou, Yi Zhou, Yi-Hui Zhou, Yi-Jiang Zhou, Yichao Zhou, Yidan Zhou, Yifa Zhou, Yifeng Zhou, Yinan Zhou, Ying Zhou, Ying-Hui Zhou, Yinghui Zhou, Yingjie Zhou, Yingmin Zhou, Yingshi Zhou, Yiqing Zhou, Yitian Zhou, Yong Zhou, Yong-Gang Zhou, Yong-Hui Zhou, Yong-an Zhou, Yongbing Zhou, Yongcan Zhou, Yonghua Zhou, Yongjian Zhou, Yongqiang Zhou, Yongtao Zhou, Yongxin Zhou, Yongzhi Zhou, You Lang Zhou, You Zhou, You-Li Zhou, Youping Zhou, Yu Zhou, Yu-Bao Zhou, Yu-Ning Zhou, Yu-Qi Zhou, Yuan Zhou, Yuanyuan Zhou, Yubin Zhou, Yudong Zhou, Yue Zhou, Yueping Zhou, Yuetao Zhou, Yufei Zhou, Yuhan Zhou, Yuhuan Zhou, Yujia Zhou, Yujie Zhou, Yun Zhou, Yun-Fei Zhou, Yun-Tao Zhou, Yunfang Zhou, Yunfeng Zhou, Yunhui Zhou, Yunqian Zhou, Yunxia Zhou, Yunxiang Zhou, Yunyun Zhou, Yunzhen Zhou, Yuqi Zhou, Yuqiao Zhou, Yuqing Zhou, Yuqiu Zhou, Yushan Zhou, Yuting Zhou, Yutong Zhou, Yuxin Zhou, Yuzhi Zhou, Zechen Zhou, Zefeng Zhou, Zenghui Zhou, Zengyuan Zhou, Zengzi Zhou, Zewei Zhou, Zhan Zhou, Zhaokai Zhou, Zhechong Zhou, Zhen Zhou, Zheng Zhou, Zheng-Jun Zhou, Zheng-Yang Zhou, Zhengyang Zhou, Zhengzhong Zhou, Zhenhua Zhou, Zhenlei Zhou, Zhenying Zhou, Zhenyu Zhou, Zheyi Zhou, Zhi Dong Zhou, Zhi Zhou, Zhi-Dong Zhou, Zhi-Gang Zhou, Zhi-Hang Zhou, Zhi-Jiao Zhou, Zhi-Xiang Zhou, Zhi-Yong Zhou, Zhibo Zhou, Zhicheng Zhou, Zhifeng Zhou, Zhiguang Zhou, Zhihang Zhou, Zhihao Zhou, Zhiheng Zhou, Zhihui Zhou, Zhijiao Zhou, Zhijun Zhou, Zhimin Zhou, Zhipeng Zhou, Zhiqin Zhou, Zhiqun Zhou, Zhiwei Zhou, Zhixiang Zhou, Zhiyi Zhou, Zhiyong Zhou, Zhiyu Zhou, Zhongbo Zhou, Zhongjiang Zhou, Zhongkai Zhou, Zhongqiu Zhou, Zhongtao Zhou, Zhongxing Zhou, Zhongyin Zhou, Zhou Zhou, Zhu Zhou, Zhuoming Zhou, Zi-Yang Zhou, Zi-Yi Zhou, Zihan Zhou, Zihao Zhou, Zihua Zhou, Zijun Zhou, Zili Zhou, Ziliang Zhou, Zilin Zhou, Zilong Zhou, Zipeng Zhou, Ziqing Zhou, Ziwei Zhou, Ziyan Zhou, Ziyue Zhou, Ziyun Zhou, Zongkai Zhou, Zunchun Zhou, Zuomin Zhou, Zuoqiong Zhou, Zuping Zhou
articles
Chao Zhao, Nuan Wang, Di Shi +3 more · 2025 · Lipids · Wiley · added 2026-04-24
Ischemic stroke is frequently associated with symptomatic intracranial atherosclerotic stenosis (sICAS), is a leading cause of global disability and mortality. Current guidelines recommend dual antipl Show more
Ischemic stroke is frequently associated with symptomatic intracranial atherosclerotic stenosis (sICAS), is a leading cause of global disability and mortality. Current guidelines recommend dual antiplatelet and intensive statin therapies. Proprotein convertase subtilisin 9/kexin type 9 (PCSK9) inhibitors have emerged as a potent lipid-lowering therapy, potentially influenced by genetic variations, particularly in the CYP2C19 gene. This study at Xuzhou Central Hospital from January 2021 to December 2023 included 151 patients divided into a statin group (n = 73) and a PCSK9 inhibitor (PCSK9i) group (n = 78). It evaluated lipid profiles, inflammatory markers, neurological function, and clinical outcomes over a 180-day follow-up period, with additional analysis stratified by CYP2C19 genotype. The PCSK9i group demonstrated significant improvements in lipid parameters compared to the statin group, including greater reductions in low-density lipoprotein cholesterol (LDL-C) (p = 0.008), total cholesterol (TC) (p < 0.001), and triacylglycerols (TAG) (p = 0.041), along with apolipoprotein A1 (ApoA1) and apolipoprotein B (ApoB) (both p < 0.001). Inflammatory markers, particularly interleukin-6 (IL-6), significantly reduced in the PCSK9i group (p < 0.001). In the PCSK9i group, CYP2C19 rapid metabolizers achieved greater reductions in LDL-C (p = 0.021), ApoB (p = 0.003), and IL-6 levels (p = 0.041) compared to slow metabolizers. Post-treatment modified Rankin Scale (mRS) scores were significantly lower in rapid metabolizers compared to slow metabolizers (p = 0.018), though clinical events occurred infrequently in both subgroups. This study demonstrates that PCSK9 inhibitor therapy combined with statins provides enhanced lipid-lowering and anti-inflammatory effects compared to statin monotherapy in sICAS patients. While the CYP2C19 genotype may influence specific treatment responses, particularly lipid parameters, its impact on clinical outcomes requires further investigation. Show less
no PDF DOI: 10.1002/lipd.70018
APOB
Yu Ding, Haoyang Ling, Xiuyan Chen +6 more · 2025 · Medicine · added 2026-04-24
Myocardial infarction (MI) is one of the most serious cardiovascular diseases in the world. Nevertheless, the majority of diagnostic procedures conducted subsequent to the illness do not provide any m Show more
Myocardial infarction (MI) is one of the most serious cardiovascular diseases in the world. Nevertheless, the majority of diagnostic procedures conducted subsequent to the illness do not provide any means to prevent several risks associated with MI. Blood and urine tests are frequently employed in clinical examinations to detect cardiovascular diseases at an early stage. Mendelian randomization (MR) is commonly employed to explore disease-trait relationships and uncover therapeutic targets. Our goal was to explore the genetic links between 35 blood and urine biomarkers and MI. Blood and urine biomarker MR correlations with MI risk were studied. In version R10, the UK Biobank and Finnish databases included blood and urine marker data and MI data (26,060 cases and 343,079 controls). We performed bidirectional 2-sample MR with 4 methods: inverse variance weighted, MR-Egger, weighted median, and weighted mode. Final causal associations were determined by inverse variance weighted. Sensitivity analyses (heterogeneity, pleiotropy) were conducted. MR-PRESSO and PhenoScanner were used to exclude invalid instruments. We used multivariate MR to filter the most important genes without including other positive genes. To identify positive gene pathways and gene networks that cause MI, we employed GeneMANIA for gene prediction. The findings revealed a positive genetic association between the 8 blood and urine biomarker levels and an elevated risk of MI. There are apolipoprotein B (APOB), glycated hemoglobin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, sex hormone-binding globulin, triglycerides, and urate. Moreover, APOB, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol selectively affect MI through the rejection of other positive gene stems. Finally, APOB and numerous genes strongly impact MI development. APOB collaborates with related genes to regulate plasma lipoprotein particle levels, sterol homeostasis, organization, lipid homeostasis, and remodeling in MI. Our research further reveals the causal relationship between MI and blood/urine biomarkers, providing a new perspective for the prevention, diagnosis, and treatment of MI. Blood and urine marker tests can subsequently be conducted based on these results to detect MI and study the underlying mechanisms linking these metabolites to MI. Show less
no PDF DOI: 10.1097/MD.0000000000046146
APOB
Fangbo Hu, Rongjie Wu, Xu Zhao +5 more · 2025 · Translational stroke research · Springer · added 2026-04-24
Mendelian randomization studies have identified that apolipoprotein B (ApoB) is the primary genetic determinant of ischemic stroke, rather than other lipid markers. However, its association with recur Show more
Mendelian randomization studies have identified that apolipoprotein B (ApoB) is the primary genetic determinant of ischemic stroke, rather than other lipid markers. However, its association with recurrent non-cardioembolic acute ischemic stroke (NCAIS) remains unclear. This study aimed to investigate this association. This study recruited 578 patients with acute ischemic stroke, excluding those with cardiogenic embolism. After a 3-year follow-up, a total of 428 patients completed the prospective cohort study. A Cox regression model was used to evaluate the association between ApoB levels at admission and the recurrence rate. Additionally, a nested case-control study was conducted by comparing blood samples collected at the time of recurrence from recurrent patients with those from non-recurrent patients. Binary logistic regression and ROC analysis were used to assess the association between serum ApoB, low-density lipoprotein cholesterol (LDL-C), and recurrent stroke at the time of recurrence. The Cox regression model demonstrated that ApoB levels at admission were independently associated with an increased risk of recurrent NCAIS (HR=6.697; 95%CI 2.581-17.374, P < 0.001). Recurrent stroke patients had significantly higher serum ApoB levels at admission than non-recurrent ones [0.85 g/L (IQR 0.21) vs. 0.63 g/L (IQR 0.15)]. In ROC analysis, ApoB (AUC = 0.732) showed a greater discriminatory ability for recurrent stroke than LDL-C (AUC = 0.685). Higher serum ApoB levels increased the risk of recurrence in patients with NCAIS, and ApoB demonstrated better discriminatory ability than LDL-C after therapy. These findings suggest that routine ApoB measurement may help improve secondary stroke risk assessment. Show less
📄 PDF DOI: 10.1007/s12975-025-01367-9
APOB
Mengli Cui, Chenmin Zhang, Qiao Zhou +1 more · 2025 · Clinical rheumatology · Springer · added 2026-04-24
Dysregulation of lipid metabolism often occurs in rheumatoid arthritis (RA) patients, and Apolipoprotein E (APOE) is a prominent apolipoprotein involved in regulating lipid metabolism. We aimed to inv Show more
Dysregulation of lipid metabolism often occurs in rheumatoid arthritis (RA) patients, and Apolipoprotein E (APOE) is a prominent apolipoprotein involved in regulating lipid metabolism. We aimed to investigate the relationship between APOE genotypes with serum lipids and cardiovascular disease (CVD) risk in RA patients. We recruited 200 RA patients from the Affiliated Hospital of Nanjing University of Chinese Medicine. The high-resolution melting method was used to analyze genomic DNA extracted from the peripheral blood of RA patients. Immunoturbidimetric assay or Colorimetric assay was used to measure clinical laboratory results of RA patients. The differences in clinical laboratory results of APOE genotypes were compared, and the correlation between various indexes and APOE concentration in RA patients with APOE genotypes was analyzed. RA patients with ε2/ε3 genotype had lower levels of total cholesterol (TC), low-density lipoprotein (LDL), and apolipoprotein B (APOB) compared with ε3/ε4 genotype patients (p < 0.05). RA patients with ε3/ε4 genotype had significantly higher small dense low-density lipoprotein (sdLDL) and lipoprotein(a) (Lp(a)) compared with ε2/ε3 genotype patients (p < 0.05). Moreover, the APOE concentration of ε2/ε3 genotype was significantly higher compared with ε3/ε4 genotype (p < 0.001), and the APOE concentration of ε2/ε3 genotype was significantly positively correlated with high-density lipoprotein (HDL) and apolipoprotein A (APOA) (p < 0.05), while the APOE concentration of the ε3/ε4 genotype was positively correlated with LDL, APOB, and Lp(a) (p < 0.05). This study provides strong evidence that APOE polymorphism is associated with lipoprotein metabolism. The independent risk factors for CVD (sdLDL and Lp(a)), are significantly elevated in ε3/ε4 genotype. APOE concentration is significantly elevated in ε2/ε3 genotype and positively correlated with protective factors for CVD, whereas the opposite is observed in the ε3/ε4 genotype. Therefore, RA patients with ε3/ε4 genotype exhibited dysregulated lipid metabolism, increasing the risk of CVD. Key points • In RA patients with ε2/ε3 genotype have lower levels of TC, LDL, and APOB compared with ε3/ε4 genotype. • In RA patients carrying ε3/ε4 genotype have higher levels of sdLDL and Lp(a) compared to carriers of ε2/ε3 genotype. • The role of APOE concentration in RA patients is closely related to APOE genotypes. Show less
📄 PDF DOI: 10.1007/s10067-025-07733-0
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Kitty Pham, Nigussie Assefa Kassaw, Anwar Mulugeta +2 more · 2025 · Nutrition research reviews · added 2026-04-24
Coffee is a widely consumed beverage, which has been extensively studied for its potential effects on health. We aimed to map genetic evidence for the effect of habitual coffee consumption on health. Show more
Coffee is a widely consumed beverage, which has been extensively studied for its potential effects on health. We aimed to map genetic evidence for the effect of habitual coffee consumption on health. We searched PubMed, Embase, Cochrane Database of Systematic Reviews, Cumulative Index to Nursing and Allied Health Literature and two preprint repositories from inception to 30 September 2022, and included fifty-nine studies, spanning 160 disease or biomarker associations. We evaluated the articles for certainty of evidence using a modified GRADE tool and robustness of the associations by comparing Mendelian randomisation (MR) sensitivity analyses. Coffee consumption was associated with smaller grey matter brain volume in one study, and there was probable evidence for an increased risk of Alzheimer’s disease and younger age of onset of Huntington’s disease. MR studies provided probable evidence for an association with increased risk of oesophageal and digestive cancers, but protective effects for hepatocellular carcinomas and ovarian cancer. We found probable evidence for increased risk of type 2 diabetes mellitus, osteoarthritis, rheumatoid arthritis, menopausal disorders, glaucoma, higher total cholesterol, LDL-cholesterol and ApoB, and lowered risk of migraines, kidney disease and gallstone disease. Future studies should aim to understand underlying mechanisms of disease, expand knowledge in non-European cohorts and develop quality assessment tools for systematic reviews of MR studies. Show less
no PDF DOI: 10.1017/S0954422425100206
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Lili Zhou, Wei Cheng, Dan Luo +10 more · 2025 · Frontiers in cell and developmental biology · Frontiers · added 2026-04-24
Cholesterol is an essential molecule for tumor cell growth and proliferation, and dysregulated cholesterol metabolism has been widely implicated in cancer pathogenesis. However, the specific role and Show more
Cholesterol is an essential molecule for tumor cell growth and proliferation, and dysregulated cholesterol metabolism has been widely implicated in cancer pathogenesis. However, the specific role and underlying molecular mechanisms of cholesterol metabolism alterations in diffuse large B-cell lymphoma (DLBCL) remain poorly understood. We retrospectively analyzed clinical data from 200 DLBCL patients and 185 healthy controls, focusing on lipid and lipoprotein levels, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and apolipoprotein E (ApoE). Univariate and multivariate Cox proportional hazard models were used to evaluate the prognostic value of these markers, and Kaplan-Meier analysis assessed their associations with overall survival (OS). Bioinformatics analysis predicted associations between lipid markers and cholesterol metabolism. Cellular experiments further investigated the expression of cholesterol metabolism-related proteins and the effect of the cholesterol-depleting agent Methyl-β-cyclodextrin (MβCD) on DLBCL cells. We confirmed significant alterations in metabolic markers (such as TC and ApoA1) between the healthy control group and patients, which were significantly associated with patient prognosis and overall OS. Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. In addition, DLBCL cells exhibited increased expression of cholesterol uptake and synthesis proteins (CD36, SREBP2, and HMGCR) and decreased expression of efflux proteins (APOA1, NR1H2 and ABCG1), consistent with cholesterol metabolic reprogramming. Treatment with MβCD disrupted CD36 expression and cholesterol metabolism, leading to reduced DLBCL cell survival. These findings underscore the pivotal role of cholesterol metabolic reprogramming in DLBCL progression. CD36 and related metabolic markers represent promising therapeutic targets, opening novel avenues for the treatment of this malignancy. Show less
📄 PDF DOI: 10.3389/fcell.2025.1585521
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Xuan Bai, Dingzi Zhou, Jing Luo +14 more · 2025 · Medicine · added 2026-04-24
Lipid metabolism abnormalities and inflammation have been implicated in gallstone disease (GSD) development, but the causal relationships and potential mediation effects among lipid metabolites, infla Show more
Lipid metabolism abnormalities and inflammation have been implicated in gallstone disease (GSD) development, but the causal relationships and potential mediation effects among lipid metabolites, inflammatory factors, and GSD remain unclear. The aim of this study is to explore the causal relationships among these 3 factors. This study employed 2-sample Mendelian Randomization (TSMR) and 2-step MR to investigate the causal relationships and potential mediation effects among 91 inflammatory factors, 6 lipid metabolism-related molecules (HDL-C, LDL-C, TG, total cholesterol, ApoA1, and ApoB), and GSD. We opted for 4 distinct MR analysis methods including inverse variance weighted method, weighted median method, MR-Egger regression method and MR-PRESSO analysis. Sensitivity analyses included MR-Egger intercept tests, Cochran's Q statistic, Steiger tests, and leave-one-out analyses. Product of coefficients method was used to estimate mediation proportion. TSMR analysis revealed that every 1-unit increase in low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), the risk of GSD decreased by 16.5%, 10.2%, 8.4%, and 13.1%, respectively. Inflammatory factors such as Natural killer cell receptor 2B4 (CD244), Macrophage colony-stimulating factor 1 (CSF-1), and interleukin-18 receptor 1 (IL-18R1) were identified as risk factors for GSD, while Fibroblast growth factor 19 levels (FGF19), Interleukin-1-alpha levels (IL-1α), and Interleukin-8 levels (IL-8) were found to be protective. Mediation analysis through 2-step MR identified potential pathways involving ApoA1--IL-8--GSD (P = .084) and IL-1α--ApoB--GSD (P = .117). This study provides robust evidence of causal links between specific lipid metabolites and GSD, as well as suggestive causal associations for several inflammatory factors. However, mediation analysis did not support significant roles for lipids or inflammatory factors as mediators in GSD pathogenesis. Future research could be further pursued in areas such as drug target intervention and mechanistic studies. Show less
no PDF DOI: 10.1097/MD.0000000000044704
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Deguang Yang, Ning Gu, Li Pan +8 more · 2025 · Kardiologia polska · added 2026-04-24
The role of lipid markers in acute coronary syndrome remains incompletely understood, particularly for novel indices such as the Castelli risk indices (CRI-I, CRI-II) and cholesterol index (CHOINDEX). Show more
The role of lipid markers in acute coronary syndrome remains incompletely understood, particularly for novel indices such as the Castelli risk indices (CRI-I, CRI-II) and cholesterol index (CHOINDEX). This study aims to elucidate the relationship between novel lipid markers and plaque rupture. In this single-center retrospective study, 649 patients with acute coronary syndrome undergoing optical coherence tomography were stratified into plaque rupture (n = 130) and non-rupture (n = 519) groups. Lipid indices included the following: CRI-I - total cholesterol/high-density lipoprotein cholesterol (HDL-C), CRI-II - low-density lipoprotein cholesterol (LDL-C)/HDL-C, and CHOINDEX - LDL-C/HDL-C. Multivariable logistic regression identified independent predictors of plaque rupture. Model performance was assessed using area under the curve and integrated discrimination improvement. The plaque rupture group had higher proportions of males (89.2% vs. 80%; P = 0.01) and smokers (57.7% vs. 44.9%; P = 0.009), with elevated LDL-C mean 3.14 vs. 2.83 mmol/l), apolipoprotein B (APOB; 1.03 vs. 0.85 g/l), CRI-I (4.75 vs. 3.91), CRI-II (3.11 vs. 2.45), and CHOINDEX (1.97 vs. 1.65; all P <0.01). Multivariable analysis identified CRI-I (odds ratio [OR], 1.57), CRI-II (OR, 2.09), CHOINDEX (OR, 0.40), and APOB (OR, 5.50) as independent predictors. The combined model (traditional factors + novel indices) showed superior discrimination (area under the curve = 0.775 vs. 0.622; integrated discrimination improvement = 0.059; P <0.001). The combined assessment of CRI-II, CRI-I, CHOINDEX, and APOB, in conjunction with traditional cardiovascular risk factors, exhibits robust diagnostic efficacy for plaque rupture. Show less
no PDF DOI: 10.33963/v.phj.107865
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Wenhui Wu, Chengcheng Wang, Tao Zhang +12 more · 2025 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
In Traditional Chinese Medicine (TCM), dampness is a pathogenic factor arising from impaired production and transportation of bodily fluids. While Fuling Zexie decoction (FLZXD) has demonstrated thera Show more
In Traditional Chinese Medicine (TCM), dampness is a pathogenic factor arising from impaired production and transportation of bodily fluids. While Fuling Zexie decoction (FLZXD) has demonstrated therapeutic efficacy in dampness constitution (DC) treatment, the material basis underlying its constitutional modulatory effects remains unclear. This study proposes objective indicators for the differentiation and therapeutic evaluation of DC and elucidates the material basis of FLZXD in DC treatment. Serum exosome proteomic profiling was conducted across two independent cohorts to identify DC-related indicators and assess the therapeutic efficacy of FLZXD in DC-associated hyperlipidemia (DC-hyperlipidemia). The bioactive compounds of FLZXD were prioritized through a comprehensive analysis of patent documentation and network pharmacology, with subsequent validation of DC-related targets using enzyme-linked immunosorbent assay (ELISA). Proteomic analysis of serum exosomes revealed signatures that differentiate individuals with a balanced constitution (BC) from those with DC. The differentially expressed proteins (DEPs) were enriched predominantly in pathways related to the complement cascade and cardiovascular diseases. FLZXD demonstrated therapeutic efficacy against DC-hyperlipidemia, as evidenced by the reversal of DEPs expression following treatment, which was supported by the patentable findings and network pharmacology analysis. Through experimental validation and pharmacological evidence, the active herbs of FLZXD (Fuling, Zexie and Baizhu, collectively referred to as FZB) were identified, and a total of 73 putative therapeutic targets involved in the dampness-resolving effects of FZB were revealed. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment further confirmed that FLZXD exerts its anti-dampness effects primarily through regulation of the complement and coagulation cascades. Among eight candidate indicators specifically associated with DC, four proteins were validated via ELISA, indicating potential utility for the differentiation of DC. The sensitivity (%), specificity (%), fold change (FC), p-value, and area under the curve (AUC) for each indicator were as follows: apolipoprotein B-100 (APOB) (100.00, 80.00, 0.63, 0.0051, 0.94), complement factor H-related protein 1 (CFHR1) (90.00, 100.00, 0.55, 0.0001, 0.98), alpha-1-acid glycoprotein 1 (ORM1) (100.00, 80.00, 0.71, 0.0043, 0.92), and pigment epithelium-derived factor (SERPINF1) (90.00, 70.00, 0.66, 0.0002, 0.87). The integrative approach, combining proteomic profiling, network pharmacology analysis, and clinical validation, establishes an integrative approach for research on TCM constitutions. This approach provides (1) molecular insights into the differentiation of DC, (2) a foundation for mechanism-based, targeted therapeutic strategies, and (3) enhanced patient stratification to support personalized treatment approaches. Show less
no PDF DOI: 10.1016/j.jep.2025.120353
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Mengxia Li, Bingqing Xu, Hao Yu +6 more · 2025 · Journal of health, population, and nutrition · BioMed Central · added 2026-04-24
To investigate the relationship between serum lipid levels and the risk of Chronic obstructive pulmonary disease (COPD) in the UK Biobank. We performed this prospective study in 381,938 adults without Show more
To investigate the relationship between serum lipid levels and the risk of Chronic obstructive pulmonary disease (COPD) in the UK Biobank. We performed this prospective study in 381,938 adults without COPD from UK Biobank. Serum high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA) and apolipoprotein B (ApoB) were measured and classified into quintiles. Restricted cubic spline (RCS) analysis was applied to visualize the dose-response relationship between lipids and COPD risk and Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). We documented 10,443 incident COPD cases. Nonlinear relationships were found between HDL-C, LDL-C, TC, ApoA, ApoB and COPD risk with RCS analysis (P values for non-linearity < 0.05). Accordingly, multivariable-adjusted regression analysis indicated abnormal HDL-C and ApoA, and low LDL-C, TC and ApoB were associated with increased risk of COPD. Compared to intermediate quintile (Q3) group, both high or low HDL-C and ApoA were associated with risk of COPD. Corresponding HRs (95% CIs) were 1.15 (1.08-1.22), 1.16 (1.09-1.23) in Q1 group and 1.08 (1.01-1.16), 1.07 (1.00-1.14) in Q5 group. For LDL-C, TC and ApoB, there were more than 29% higher risk was observed in Q1 group with HRs (95% CIs) of 1.34 (1.27-1.42), 1.38 (1.30-1.46) and 1.29 (1.21-1.37), while HRs (95% CIs) were 0.88 (0.83-0.94), 0.92 (0.86-0.98) and 0.90 (0.84-0.95) in Q5 groups. We also observed the interactions between specific lipids and age at recruitment, sex and smoking status with stratified analysis. Our study provides the first evidence demonstrating the associations between six major serum lipids and COPD risk, revealing multiple nonlinear relationships. There were U-shaped associations between serum HDL-C, ApoA and COPD risk, and L-shaped associations between LDL-C, TC, ApoB and COPD risk. Show less
📄 PDF DOI: 10.1186/s41043-025-01026-7
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Guangyu Gao, Tianci Yao, Chengyun Liu +10 more · 2025 · Food science & nutrition · Wiley · added 2026-04-24
Phytosterols have been recommended as a lifestyle intervention for early lipid management-which has a significant impact on frailty. However, their effect on frailty remains unclear. Studies have show Show more
Phytosterols have been recommended as a lifestyle intervention for early lipid management-which has a significant impact on frailty. However, their effect on frailty remains unclear. Studies have shown that genetic proxied total blood phytosterol affects the development of cardiovascular disease through non-HDL-c and apolipoprotein B mediation, which makes phytosterol an underlying risk factor for frailty. The aim of this Mendelian randomization (MR) study was to investigate the genetic associations between phytosterols and frailty. We used univariate Mendelian randomization (UVMR) to assess the causal effects of blood phytosterols on the Frailty Index (FI) and Fried Frailty Score (FFS). We also employed multivariate Mendelian randomization (MVMR) and Two-step MR (TSMR) to evaluate the mediating role of blood lipids in the relationship between blood phytosterols and FI. We used the product of coefficients method to calculate the mediating effect. The inverse-variance weighted method was used as the primary analysis. Genetically proxied higher levels of blood total sitosterol were significantly associated with a higher risk of Frailty Index (OR = 1.035, 95% CI = 1.009-1.061, Show less
📄 PDF DOI: 10.1002/fsn3.70616
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Litong Qi, Hua Shen, Meng Chai +11 more · 2025 · Cardiovascular diabetology · BioMed Central · added 2026-04-24
This study evaluated the efficacy and safety of tafolecimab in patients with type 2 diabetes (T2D) and hypercholesterolemia by a post-hoc analysis of pooled data from three phase 3 trials. Data from u Show more
This study evaluated the efficacy and safety of tafolecimab in patients with type 2 diabetes (T2D) and hypercholesterolemia by a post-hoc analysis of pooled data from three phase 3 trials. Data from up to 12 weeks were analyzed to assess the effects of tafolecimab 450 mg every four weeks (Q4W) in patients with T2D and hypercholesterolemia. The primary endpoint was the percentage change in low-density lipoprotein cholesterol (LDL-C) levels from baseline to week 12. Secondary endpoints included the proportion of participants achieving LDL-C levels below 1.8 mmol/L at weeks 12, the proportion of patients achieving LDL-C ≥ 50% reduction and LDL-C < 1.4 mmol/L, as well as percentage changes from baseline to week 12 in non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (apo B), lipoprotein(a) [Lp(a)], and triglyceride (TG) levels. The reduction in LDL-C from baseline was significantly greater in patients receiving tafolecimab than in those receiving placebo (estimated treatment difference: - 64.02%, 95% confidence interval: [- 68.08%, - 59.96%], P < 0.0001). The proportion of patients achieving a reduction of over 50% and an absolute LDL-C value below 1.4 mmol/L was significantly higher in the tafolecimab group than that in the placebo group (P < 0.0001). Furthermore, a significantly greater proportion of patients in the tafolecimab group achieved LDL-C levels below 1.8 mmol/L at week 12 compared to the placebo group (P < 0.0001). The tafolecimab group also showed significant reductions in TG, non-HDL-C, apo B, and Lp(a) from baseline to week 12 compared to the placebo group (all P < 0.001). The incidence of adverse events was generally similar between the two groups. Tafolecimab 450 mg Q4W demonstrated a superior lipid-lowering efficacy and favorable safety profile compared to placebo. This suggests it could be a promising new treatment option for Chinese patients with T2D and hypercholesterolemia. Show less
📄 PDF DOI: 10.1186/s12933-025-02816-3
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Aiyuan Guo, Dawei Zhou, Lihua Gao · 2025 · Dermatitis : contact, atopic, occupational, drug · added 2026-04-24
no PDF DOI: 10.1089/derm.2024.0480
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Chao Liu, Xuping Zhu, Jiale Pu +3 more · 2025 · Frontiers in cellular and infection microbiology · Frontiers · added 2026-04-24
This cross-sectional study retrospectively analyzed data from 9,218 patients who underwent physical examinations at Shanghai Health and Medical Center in 2022. HP infection status was determined using Show more
This cross-sectional study retrospectively analyzed data from 9,218 patients who underwent physical examinations at Shanghai Health and Medical Center in 2022. HP infection status was determined using the carbon-13 breath test, and clinical data, biochemical indicators, and lipid metabolism-related data were collected. Multiple regression analysis was employed to investigate the relationship between HP infection and the ApoB/ApoA1 ratio. Patients in the HP-positive group were older and had a higher proportion of males. Their body mass index (BMI), blood pressure, γ-glutamyl transpeptidase (γ-GT), total cholesterol (TC), fasting blood glucose (FBG), Creatinine and White blood Cell were significantly higher than those in the HP-negative group. The HP-positive group exhibited a higher prevalence of underlying diseases (e.g., hypertension, diabetes, coronary heart disease) and significant abnormalities in glucose and lipid metabolism, uric acid, high-sensitivity C-reactive protein (hs-CRP), and other indicators. The ApoB/ApoA1 ratio was significantly elevated in the HP-positive group and was not influenced by gender. Multiple regression analysis revealed that the ApoB/ApoA1 ratio is an independent risk factor for HP infection. HP infection is closely associated with abnormal lipid metabolism, and the ApoB/ApoA1 ratio is an independent risk factor for HP infection, demonstrating significant advantages over other lipid indicators. This large-scale study highlights a significant association between HP infection and an elevated ApoB/ApoA1 ratio. The findings suggest that HP may contribute to cardiovascular risk via dyslipidemia, with the ApoB/ApoA1 ratio serving as a potential biomarker. Further research should explore whether HP eradication could mitigate these metabolic disturbances. Show less
📄 PDF DOI: 10.3389/fcimb.2025.1582843
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Xinhong Zhou, Xiaoyun Shen · 2025 · Environmental research · Elsevier · added 2026-04-24
Due to exploitation of the mineral resource, the Wumeng Mountain region has become one of the most severely polluted areas. This environmental toxicant accumulations threatens the ecosystem, which is Show more
Due to exploitation of the mineral resource, the Wumeng Mountain region has become one of the most severely polluted areas. This environmental toxicant accumulations threatens the ecosystem, which is vital for ruminant survival, and poses potential health risks to humans through circulation of contaminated product. The present study examined two pastures. Compared to the CON pasture, sulfur (S) and molybdenum (Mo) concentrations were significantly higher in both the soil and forage of the SMO pasture (p < 0.05). Specifically, the S content in SMO forage reached 28.533 g/kg and the Mo content reached 6.18 mg/kg, both of which far exceeded the recommended levels for small ruminants (1-2 g/kg for S and 0.05-0.1 mg/kg for Mo) as outlined by the NRC (2005). Therefore, the SMO pasture was under environmental S and Mo stress. Forty 4-5-month-old male Guizhou black goats were selected (20 from each pasture) for 150 grazing days. Environmental S and Mo stress in SMO goats led to secondary copper (Cu) deficiency (p < 0.05) and lower FW and ADG (p < 0.05). Hematological analysis revealed anemia, with decreased HGB, HCT, MCV, and MCH and increased RDW-CV and RDW-SD (p < 0.05). Serum analysis revealed liver function impairment, with elevated ALT, AST, TBIL, ALP, and CREA (p < 0.05), and inflammatory responses, with increased levels of IL-1β, IL-6, IFN-γ and TNF-α in the serum and increased liver mRNA expression of these cytokines, as well as decreased levels of IL-10 in the serum and decreased liver mRNA expression of IL-10 (p < 0.05). TMT-based proteomics identified 173 differentially expressed proteins (84 upregulated and 89 downregulated). KEGG analysis revealed disruptions in the complement, coagulation, oxidative phosphorylation, and cytochrome P450 pathways. Potential biomarkers include SERPINC1, F2, APOH, APOB, PLG, and AMBP. In conclusion, environmental S and Mo stress impairs the mineral balance, physiological functions, immune system, and growth of goats. Show less
no PDF DOI: 10.1016/j.envres.2025.122033
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Fan Zhou, Kousalya Prabahar, Jiao Shu · 2025 · Diabetology & metabolic syndrome · BioMed Central · added 2026-04-24
To date, no meta-analysis has reported on the role of transdermal estrogens combined with Medroxyprogesterone Acetate (MPA) in relation to cardiovascular disease (CVD) risk factors in postmenopausal w Show more
To date, no meta-analysis has reported on the role of transdermal estrogens combined with Medroxyprogesterone Acetate (MPA) in relation to cardiovascular disease (CVD) risk factors in postmenopausal women. To fill this knowledge gap, a meta-analysis of randomized controlled trials (RCTs) was conducted to assess the effects of transdermal estrogens and MPA on CVD risk factors in postmenopausal women. A systematic literature search was conducted in major databases including PubMed/Medline, Web of Science, SCOPUS, and Embase, from inception to 12 February 2025. The combination of Medical Subject Headings (MeSH) and non-MeSH keywords was used. A total of 14 trials were included in the meta-analysis. The combined eligible trials found that transdermal estrogens combined with MPA significantly decreased total cholesterol (TC) (WMD: -13.37 mg/dL, 95% CI: -21.54 to -5.21, p = 0.001), low density lipoprotein cholesterol (LDL-C) (WMD: -12.17 mg/dL, 95% CI: -23.26 to -1.08, p = 0.031), and apolipoprotein B (ApoB) (WMD: -7.26 mg/dL, 95% CI: -11.48 to -3.03, p = 0.001) compared to the control. No statistically significant associations were observed between transdermal estrogens combined with MPA on triglyceride (TG), high density lipoprotein cholesterol (HDL-C), lipoprotein(a) (Lp(a)), and apolipoprotein A1 (ApoAI). Based on the results of the current meta-analysis, transdermal estrogens combined with oral MPA administration had a beneficial effect on certain CVD risk factors in postmenopausal women, as evidenced by the significant reductions in TC, LDL-C, and ApoB. Show less
📄 PDF DOI: 10.1186/s13098-025-01664-1
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Xuliang Luo, Yan Guo, Xuelian Li +6 more · 2025 · BMC genomics · BioMed Central · added 2026-04-24
Aromatase, encoded by Cyp19a1, is the rate limiting enzyme in biosynthesis of estrogens, and excessive aromatase can reduce the semen quality in roosters. Seminal plasma extracellular vesicles (SPEV) Show more
Aromatase, encoded by Cyp19a1, is the rate limiting enzyme in biosynthesis of estrogens, and excessive aromatase can reduce the semen quality in roosters. Seminal plasma extracellular vesicles (SPEV) are nanoscale vesicles that carry and transmit signaling molecules, thereby affecting semen quality. Currently it is still unclear whether SPEV are involved in the process of that aromatase affects the quality semen in chicken. To clarify this issue, lentivirus carrying Cyp19a1 (LV-CYP19A1) for over-expression of aromatase was constructed and injected to testis of 35-week-old roosters. Semen quality and seminal plasma hormone were measured, and SPEV were also extracted and proteome sequencing was performed after treatment of LV-CYP19A1. The results indicated that semen volume, fertility, sperm motility, testosterone (T) levels were significantly decreased, and estradiol (E Our results reveal that aromatase can down-regulate the protein expression related to regulation of ATP synthesis and metabolism, and sperm motility in SPEV, thereby reducing semen quality in roosters. Show less
📄 PDF DOI: 10.1186/s12864-025-11500-5
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Qinghua Fang, Hongdan Fan, Qiaoqiao Li +4 more · 2025 · Journal of the American Heart Association · added 2026-04-24
Genome-wide association studies have revealed numerous loci associated with coronary artery disease (CAD). However, some potential causal/risk genes remain unidentified, and causal therapies are lacki Show more
Genome-wide association studies have revealed numerous loci associated with coronary artery disease (CAD). However, some potential causal/risk genes remain unidentified, and causal therapies are lacking. We integrated multi-omics data from gene methylation, expression, and protein levels using summary data-based Mendelian randomization and colocalization analysis. Candidate genes were prioritized based on protein-level associations, colocalization probability, and links to methylation and expression. Single-cell RNA sequencing data were used to assess differential expression in the coronary arteries of patients with CAD. Our findings provide multi-omics evidence suggesting that Show less
📄 PDF DOI: 10.1161/JAHA.124.037203
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Pengfei Xie, Weinan Xie, Zhaobo Wang +8 more · 2025 · Diabetology & metabolic syndrome · BioMed Central · added 2026-04-24
Patients with diabetic nephropathy (DN) often present with lipid profile abnormalities. While associations between these parameters and DN have been suggested, confounding factors obscure causal relat Show more
Patients with diabetic nephropathy (DN) often present with lipid profile abnormalities. While associations between these parameters and DN have been suggested, confounding factors obscure causal relationships. This study employed bidirectional Mendelian randomization (MR) to explore these links. Using genome-wide association study (GWAS) data, the primary analysis used the inverse-variance weighted (IVW) method, which was supported by MR-Egger regression and a weighted median estimator (WME). Sensitivity analyses, including heterogeneity, pleiotropy tests, leave-one-out, and reverse causality analyses, were conducted. The IVW model revealed the following: (1) causal relationships between triglycerides (TG) (OR: 1.5807, 95% CI: 1.2578-1.9865, P = 0.0001), high-density lipoprotein cholesterol (HDL-C) (OR: 0.7342, 95% CI: 0.5729-0.9409, P = 0.0146), and apolipoprotein A1 (ApoA1) (OR: 0.6506, 95% CI: 0.5190-0.8156, P = 0.0002) and DN; (2) causal relationships between TG (OR: 1.0607, 95% CI: 1.0143-1.1093, P = 0.0098), HDL-C (OR: 0.9453, 95% CI: 0.9053-1.9871, P = 0.0109), and apolipoprotein B (ApoB) (OR: 1.0672, 95% CI: 0.0070-1.1310, P = 0.0280) and the urinary albumin-creatinine ratio (UACR); (3) no causal relationship between total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), ApoB and DN, or between TC, LDL-C, ApoA1 and UACR; (4) none of the results showed reverse causality. TG is a risk factor for DN and UACR; HDL-C is protective for both; ApoA1 protects against DN; and ApoB is a risk factor for UACR. To further explore the underlying mechanisms between TG, HDL-C, ApoA1, ApoB, and their associations with DN and UACR, and to provide reference for the selection of lipid management and treatment strategies for clinical DN patients. This study demonstrated that causal relationships between TG, HDL-C, and ApoA1 with DN and between TG, HDL-C, and ApoB with the UACR. Show less
📄 PDF DOI: 10.1186/s13098-025-01641-8
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Anqi Wang, Hui Ren, Yanyan Zhang +2 more · 2025 · Poultry science · Elsevier · added 2026-04-24
Fatty liver hemorrhagic syndrome (FLHS) is a common nutritional and metabolic disease in laying hens, leading to a rapid decline in egg production. This study aims to evaluate the antioxidant effects Show more
Fatty liver hemorrhagic syndrome (FLHS) is a common nutritional and metabolic disease in laying hens, leading to a rapid decline in egg production. This study aims to evaluate the antioxidant effects of dietary supplementation with Pueraria Lobatae Radix polysaccharide (PLRP) on laying hens with FLHS induced by a high-energy low-protein (HELP) diet. A total of 72 thirty-seven-wk-old Hy-Line Brown laying hens were divided into 4 groups: basal diet (CON), HELP diet (HELP), HELP + 100 mg/kg PLRP (HELP-Low), and HELP + 300 mg/kg PLRP (HELP-High), with 6 replicates of 3 hens each. After 4 weeks on the HELP diet, PLRP was added to the diet of the HELP-Low and HELP-High groups for 8 weeks. The results demonstrated that PLRP supplementation significantly improved laying rate compared to the HELP group, with the HELP-Low and HELP-High groups exhibiting respective increases of 23.81% and 28.57% (P < 0.01). PLRP also promoted follicular development, increasing the number of stratified, primary, and secondary follicles and improving the ovarian index. Biochemical analysis revealed enhanced antioxidant activity, with increased levels of T-AOC, T-SOD, and GSH-Px and reduced MDA in the liver and ovaries of PLRP-treated hens (P < 0.05). At the molecular level, PLRP upregulated mRNA expression of ER-α, ER-β, MTTP, APOB, APOVLDL-II, and VTG-II in the liver, as well as VLDLR, LHR, and FSHR in the ovaries, facilitating yolk precursor biosynthesis and follicular development (P < 0.05). It indicated that PLRP supplementation mitigates oxidative stress and enhances yolk precursor synthesis, thereby improving egg production in FLHS-affected hens. PLRP shows promise as an effective feed additive for preventing and alleviating FLHS in laying hens. Future studies will investigate the regulatory effects of PLRP on gut microbiota composition and its potential interactions with FLHS in laying hens. Show less
📄 PDF DOI: 10.1016/j.psj.2025.105062
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Bing Tan, Shanlin Xiang, Yuhao Zheng +2 more · 2025 · European journal of medical research · BioMed Central · added 2026-04-24
To investigate the relationship between dyslipidemia and intervertebral disc degeneration (IVDD). A total of 269 patients with lumbar disc herniation (Grade III-VIII using the modified Pfirrmann Gradi Show more
To investigate the relationship between dyslipidemia and intervertebral disc degeneration (IVDD). A total of 269 patients with lumbar disc herniation (Grade III-VIII using the modified Pfirrmann Grading Systems and Total End Plate Damage Score (TEPS) III-VI grade) and 269 patients with lumbar vertebral fracture (LVF, Grade I-II using the modified Pfirrmann Grading Systems and TEPS I-II grade) were enrolled in this study. The total cholesterol level (TC), low-density lipoprotein-cholesterol level (LDL-C), triglyceride level (TG), high-density lipoprotein-cholesterol level (HDL-C), nonHDL-C, ApoB level, ApoB A1 level and arteriosclerosis index (AI) were measured. The 269 patients with single-level LDH who underwent surgery were assigned to the disc herniation group (DH) and 269 patients who underwent surgical treatment for lumbar vertebral fracture during the same period were enrolled as the control group. The participants in the control group were selected randomly and matched for sex. The analysis revealed that the levels of TC, TG, LDL, nonHDL-C, APOB, and APOA1 in patients with LDH were significantly higher compared with those in the controls. The proportion of high-TC, borderline high-total cholesterol, high LDL-C, high-TG, borderline high LDL-C, high APO B, high arteriosclerosis index (AI), and high-ApoB/ApoA1 in the LDH group was significantly higher relative to that of the control group. The ratio of TC/HDL-C, TG/HDL-C, LDL-C/HDL-C, nonHDL-C/HDL-C, and ApoB/ApoA1 in the LDH group was significantly higher compared with that of the control group. Multivariate logistic regression analysis showed that the levels of serum TG, Apo B/ApoA1 ratio, atherogenic index(AI), labour intensity, and age were positively associated with the risk of LDH and were independent risk factors predicting IVDD development. Overall, this study indicates that age, labour intensity, TG, ApoB/ApoA1 ratio and atherogenic index (AI) may increase the risk of IVDD. The levels of TC, TG, LDL-C, nonHDL-C, Apo B, and atherogenic index (AI) may be related to the degree of cartilage endplate (CEP) and intervertebral disc degeneration (IVDD). Moreover, dyslipidemia may be a useful predictor of IVDD. Show less
📄 PDF DOI: 10.1186/s40001-025-02455-0
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Christie M Ballantyne, Daniel Gaudet, Robert S Rosenson +5 more · 2025 · Journal of the American College of Cardiology · Elsevier · added 2026-04-24
Plozasiran, an investigational siRNA targeting hepatic apoC-III, reduces triglyceride-rich lipoproteins (TRLs). The impact of plozasiran on lipoprotein particle numbers and sizes is unknown. However, Show more
Plozasiran, an investigational siRNA targeting hepatic apoC-III, reduces triglyceride-rich lipoproteins (TRLs). The impact of plozasiran on lipoprotein particle numbers and sizes is unknown. However, reductions in the number of TRL particles (TRL-P) and a shift to possibly less atherogenic large low-density lipoprotein particles (LDL-P) are expected. This study aimed to determine the impact of plozasiran on lipoprotein particle concentration and subclass distribution using nuclear magnetic resonance (NMR) in 2 phase 2 studies. Patients (N = 403) from SHASTA-2 (severe hypertriglyceridemia) and MUIR (mixed hyperlipidemia) were administered 2 total subcutaneous doses of plozasiran (10, 25, or 50 mg) or placebo at baseline and week 12. Comprehensive lipoprotein profiling was conducted with NMR. In SHASTA-2, there was a dose-dependent reduction in TRL-P, with placebo-adjusted total TRL-P reductions of -46% and reductions across all TRL subclasses with plozasiran. While total LDL-P was unchanged, large LDL-P concentration increased by +53% and medium by +56%; small LDL-P trended lower (-13%). Total HDL-P increased by +8%, primarily driven by a +36% increase in large high-density lipoprotein particles (HDL-Ps). Similarly, in MUIR, there were dose-dependent reductions in TRL-P, with total TRL-P significantly reduced by -48% (pooled plozasiran) and reductions across all TRL subclasses with plozasiran. While total LDL-P was unchanged, large and medium LDL-P levels increased by +88% and +46%, respectively; small LDL-P levels decreased by -28%. Total HDL-P increased by +12%, driven by a +83% increase in large HDL-P. Plozasiran induced reductions in apoC-III and showed potentially favorable quantitative and qualitative changes in lipoproteins as assessed by NMR in patients with hypertriglyceridemia and mixed hyperlipidemia. Plozasiran reduced TRL-P by ∼50%, shifted LDL to larger particles, and modestly increased HDL-P concentration. While high-potency TRL-lowering therapies can lead to an overall LDL-C increase, plozasiran did not increase LDL-P or apoB but shifted LDL particle size distribution from small dense LDL toward larger sizes. The ∼50% reduction in TRL-P with no increase in apoB and possibly beneficial qualitative changes in LDL suggests the potential of plozasiran to lower cardiovascular risk, which may be evaluated in a prospective outcomes trial. Show less
no PDF DOI: 10.1016/j.jacc.2025.03.496
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Yu Cui, Yanzhu Chen, Mengting Hu +7 more · 2025 · Computational biology and chemistry · Elsevier · added 2026-04-24
The gut microbiota plays a crucial role in human health, but its impact on lipid metabolism remains unclear. Understanding the causal relationship between gut bacteria and lipid profiles is essential Show more
The gut microbiota plays a crucial role in human health, but its impact on lipid metabolism remains unclear. Understanding the causal relationship between gut bacteria and lipid profiles is essential for developing strategies to prevent and treat dyslipidemia and cardiovascular diseases. This study aimed to assess this relationship using two-sample Mendelian randomization (MR). Data for both exposure and outcomes were obtained from the IEU-GWAS database, with lipid profile data sourced from a publication. Genome-wide significant single nucleotide polymorphisms (SNPs), which were independent of outcome factors but correlated with exposure variables, were identified as instrumental variables. Several MR methods, including weighted analysis, maximum likelihood, inverse variance weighting (IVW), MR-Egger, and weighted median, were applied. Colocalization analysis further validated the findings. The analysis revealed microbial groups with causal relationships to ApoA1, ApoB, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, and triglycerides. Reverse MR and colocalization analysis provided additional confirmation of these results. This study offers new evidence of the causal link between gut microbiota and lipid profiles, providing insights for improving lipid profiles and reducing cardiovascular disease risk. Show less
no PDF DOI: 10.1016/j.compbiolchem.2025.108422
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Qiuxiao Jiang, Bin Feng, Yanhua Zhao +5 more · 2025 · Clinica chimica acta; international journal of clinical chemistry · Elsevier · added 2026-04-24
Lipoprotein subclasses and high-density lipoprotein (HDL) functions are associated with atherosclerotic cardiovascular disease (ASCVD), but researches on them in patients with nephrotic syndrome (NS) Show more
Lipoprotein subclasses and high-density lipoprotein (HDL) functions are associated with atherosclerotic cardiovascular disease (ASCVD), but researches on them in patients with nephrotic syndrome (NS) are limited. The aims of this study were (1) to analyze the changes in quantity and quality of lipoprotein in patients with idiopathic nephrotic syndrome (INS) and patients in remission from NS, and (2) to evaluate the lipid-related atherosclerotic risk in these patients. 51 patients with idiopathic nephrotic syndrome (NS group), 72 NS patients with complete remission (NS remission group), and 80 healthy controls (control group) were recruited. The levels of conventional lipids, lipoprotein subclasses, including VLDL, IDL (C, B, A), LDL (LDL1-7), HDL (large, intermediate, small) and HDL cholesterol efflux capacity (CEC), were measured and compared across the three groups. Conventional lipid parameters [TG, TC, LDL-C, apo-B and Lp(a)] and lipoprotein subclasses (VLDL, IDL-C, IDL-B, LDL-2 and sdLDL) were higher in NS group when compared to NS remission group and control group (P < 0.05). CEC in NS group was significantly lower than that in control group [21.0 (18.3-27.2) % vs 25.7 (23.3-28.9) %] (P < 0.001) and improved to 22.8 (20.6-23.7) % in NS remission group with the disease recovery. Proatherogenic changes in conventional lipid parameters, lipoprotein subclasses and HDL-CEC were observed in patients with NS, suggesting that more rigorous lipid regulation strategies may help reduce cardiovascular disease risk in patients with NS. Show less
no PDF DOI: 10.1016/j.cca.2025.120206
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Juan Zhou, Shanshan Wang, Qiang Wang +11 more · 2025 · Food & function · Royal Society of Chemistry · added 2026-04-24
Central obesity poses a significant health threat. Lutein-rich fruits and vegetables may help manage obesity. Limited evidence suggests that lutein exerts health effects by inhibiting advanced glycati Show more
Central obesity poses a significant health threat. Lutein-rich fruits and vegetables may help manage obesity. Limited evidence suggests that lutein exerts health effects by inhibiting advanced glycation end products (AGEs), but data on its effects in centrally obese individuals are sparse. Thus, we aimed to investigate the effects of lutein supplementation in subjects with central obesity. A double-blind, randomized controlled trial was conducted involving patients with central obesity. Anthropometric indices, dietary intake, metabolic parameters, carotenoid and AGEs levels were compared between those receiving a 32-week intervention of 10 mg d Show less
no PDF DOI: 10.1039/d4fo05578k
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Shuai Wang, Hanshen Zhou, Kaili Cai +4 more · 2025 · World journal of surgical oncology · BioMed Central · added 2026-04-24
To explore the risk factors of post pancreatectomy diabetes mellitus (PPTDM)in pancreatic ductal carcinoma (PDAC) patients and the value of perioperative fasting blood glucose (FBG) level expression o Show more
To explore the risk factors of post pancreatectomy diabetes mellitus (PPTDM)in pancreatic ductal carcinoma (PDAC) patients and the value of perioperative fasting blood glucose (FBG) level expression on the long-term survival after surgery. Between December 2015 and December 2019, a cohort of 509 patients diagnosed with PDAC and undergoing resection at our hospital was analyzed. They were stratified into two groups, Control group (Control) and study group (PPTDM), depending on the onset of postoperative diabetes mellitus. We analyzed the survival rates at 6 months, 12 months and 24 months post-operation in the two groups. We use univariate and logostic multivariate regressions to analyze the risk factors for PPTDM. ROC curve analysis was conducted to assess the diagnostic significance of perioperative FBG levels regarding patients' long-term survival rates. The Kaplan-Meier method was employed to assess the impact of both preoperative and postoperative FBG levels on the survival rates within 24 months for each patient group. The comparison of general clinical data between the two groups shows marginal differences without statistical significance(P > 0.05); Patients in PPTDM group had significantly higher BMI, preoperative jaundice proportion, larger tumor diameter, higher TNM stage and higher proportion of distal pancreatectomy (DP), with P values of 0.023, 0.010, 0.040, 0.012 and 0.005, respectively. The levels of preoperative FBG and postoperative FBG in PPTDM patients exhibited statistically significant elevation compared to the control group (P < 0.05). There were no significant differences in surgery-related indicators between the two groups in operative time, number of dissected positive lymph nodes, total number of dissected lymph nodes, intraoperative blood loss and other related data (P > 0.05). Hospitalization duration of PPTDM patients was longer than control group (P = 0.047). PPTDM group had significantly higher expression concentrations of BUN, Cr, TG, LDL and Apo-B factors (P = 0.023, 0.024, 0.013, 0.045 and 0.017). 17 patients (5.03%) died in the PPTDM group and 4 patients (2.35%) in control group which had significantly difference (P = 0.020). In univariate and logostic multivariate regression analysis indicated tumor size, jaundice, BUN, Cr, TG, LDL, Apo-B concentrations and DP approach were significantly correlated to the risk for PPTDM (P < 0.05). ROC curve analysis results showed combining of preoperative and postoperation FBG showed the highest diagnostic efficacy, followed by postoperation FBG and preoperative FBG. The AUC areas of the three groups were 0.745, 0.623 and 0.588, respectively, and the critical values of the three groups were 9.81/9.95 mmol/L, 10.18 mmol/L and 10.23 mmol/L, respectively, with statistical significance (P < 0.05). Results were considered statistically significant if the p-value was less than 0.05. PPTDM stands as a significant postoperative complication following pancreatic cancer surgery, characterized by a high incidence and severity. Several risk factors have garnered considerable attention among clinical surgeon. PPTDM may be an influential factor in postoperative prognosis of pancreatic cancer. The expression levels of preoperative and postoperative blood glucose hold diagnostic value for the long-term prognosis of pancreatic cancer patients. Early regulation and intervention by surgeons concerning perioperative FBG could potentially mitigate the risk of PPTDM. Show less
📄 PDF DOI: 10.1186/s12957-025-03705-5
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Linhong Ning, Yuan Zhou, Feng Yu +3 more · 2025 · ACS omega · ACS Publications · added 2026-04-24
Low-density lipoprotein (LDL) is intricately associated with numerous clinical conditions, including dyslipidemia and metabolic-associated fatty liver disease (MAFLD), and its serum concentration is c Show more
Low-density lipoprotein (LDL) is intricately associated with numerous clinical conditions, including dyslipidemia and metabolic-associated fatty liver disease (MAFLD), and its serum concentration is crucial for diagnostic purposes. However, the sensitive and accurate analysis of "intact" LDL is a significant difficulty, as conventional approaches typically focus solely on the detection of cholesterol or surface proteins of LDL. We developed a proximity ligation-induced DNAzyme motor that facilitates an outstanding amplification reaction for the precise and sensitive detection of LDL through the simultaneous recognition of the target ApoB and cholesterol. This technique facilitates the direct and accurate quantification of the concentration of "intact" LDL particles, as opposed to assessing the cholesterol content or ApoB protein inside LDL. The elevated amplification efficiency of the exponential amplification reaction, in conjunction with the trans-cleavage activity of the Cas14a1/crRNA complex, facilitates sensitive LDL detection with a low limit of detection of 6.12 mg/dL. The unique properties of the proposed method offer significant advantages in selectivity, stability, and sensitivity, rendering it extremely appropriate for diagnostics in MAFLD. Show less
📄 PDF DOI: 10.1021/acsomega.4c10224
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Ze-Yuan Yin, Shi-Min He, Xin-Yuan Zhang +16 more · 2025 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Ovarian cancer presents a significant treatment challenge due to its insidious nature and high malignancy. As autophagy is a vital cellular process for maintaining homeostasis, targeting the autophagi Show more
Ovarian cancer presents a significant treatment challenge due to its insidious nature and high malignancy. As autophagy is a vital cellular process for maintaining homeostasis, targeting the autophagic pathway has emerged as an avenue for cancer therapy. In the present study, we identify apolipoprotein B100 (ApoB100), a key modulator of lipid metabolism, as a potential prognostic biomarker of ovarian cancer. ApoB100 functioned as a tumor suppressor in ovarian cancer, and the knockdown of ApoB100 promoted ovarian cancer progression in vivo. Moreover, ApoB100 blocked autophagic flux, which was dependent on interfering with the lipid accumulation/endoplasmic reticulum (ER) stress axis. The effects of LFG-500, a novel synthetic flavonoid, on ApoB100 induction were confirmed using proteomics and lipidomics analyses. Herein, LFG-500 induced lipid accumulation and ER stress and subsequently blocked autophagy by upregulating ApoB100. Moreover, data from in vivo experiments further demonstrated that ApoB100, as well as the induction of the lipid/ER stress axis and subsequent blockade of autophagy, were responsible for the anti-tumor effects of LFG-500 on ovarian cancer. Hence, our findings support that ApoB100 is a feasible target of ovarian cancer associated with lipid-regulated autophagy and provide evidence for using LFG-500 for ovarian cancer treatment. Show less
no PDF DOI: 10.1038/s41401-024-01470-x
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Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang +6 more · 2025 · Reviews in cardiovascular medicine · added 2026-04-24
Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limi Show more
Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limited. In this observational study, 1111 PMI patients (≤55 years) at Tianjin Chest Hospital from 2017 to 2022 were selected and divided according to their SYNTAX scores into a low-risk group (≤22) and medium-high-risk group (>22). These groups were further randomly assigned to a training or test set in a ratio of 7:3. Lasso-logistic was initially used to screen out target factors. Subsequently, Lasso-logistic, random forest (RF), k-nearest neighbor (KNN), support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost) were used to establish prediction models based on the training set. After comparing prediction performance, the best model was chosen to build a prediction system for coronary artery severity in PMI patients. Glycosylated hemoglobin (HbA1c), angina, apolipoprotein B (ApoB), total bile acid (TBA), B-type natriuretic peptide (BNP), D-dimer, and fibrinogen (Fg) were associated with the severity of lesions. In the test set, the area under the curve (AUC) of Lasso-logistic, RF, KNN, SVM, and XGBoost were 0.792, 0.775, 0.739, 0.656, and 0.800, respectively. XGBoost showed the best prediction performance according to the AUC, accuracy, F1 score, and Brier score. In addition, we used decision curve analysis (DCA) to assess the clinical validity of the XGBoost prediction model. Finally, an online calculator based on the XGBoost was established to measure the severity of coronary artery lesions in PMI patients. In summary, we established a novel and convenient prediction system for the severity of lesions in PMI patients. This system can swiftly identify PMI patients who also have severe coronary artery lesions before the coronary intervention, thus offering valuable guidance for clinical decision-making. Show less
📄 PDF DOI: 10.31083/RCM26102
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Xingya Yuan, Peiwei Hong, JinQiu Zhou · 2025 · Pulmonary circulation · Wiley · added 2026-04-24
The therapeutic value of lipid-lowering drugs in pulmonary vascular disease remains uncertain due to insufficient studies and evidence. This study aims to investigate the causal effects of lipid-lower Show more
The therapeutic value of lipid-lowering drugs in pulmonary vascular disease remains uncertain due to insufficient studies and evidence. This study aims to investigate the causal effects of lipid-lowering drugs (specifically, inhibitors of APOB, CETP, HMGCR, NPC1L1, and PCSK9) on pulmonary vascular diseases using a Mendelian randomization (MR) approach. We utilized summary-level statistics from genome-wide association studies (GWAS) to simulate the exposure to low-density lipoprotein cholesterol (LDL-C) and its outcomes on pulmonary arterial hypertension (PAH), pulmonary embolism (PE), and pulmonary heart disease (PHD). Single-nucleotide polymorphisms (SNPs) within or near drug target-associated LDL-C loci were selected as proxies for the lipid-lowering drugs. Data from the FinnGen cohort and UK Biobank (UKB) were incorporated to enhance the robustness and generalizability of the findings. The inverse variance weighted (IVW) and MR-Egger methods were employed to estimate MR effects. Our MR analysis indicated that LDL-C mediated by NPC1L1 (odds ratio [OR] = 104.76, 95% confidence interval [CI] = 2.01-5457.01, Show less
📄 PDF DOI: 10.1002/pul2.70043
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