👤 Jianzhong Xu

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Also published as: Ai-Guo Xu, Aili Xu, Aimin Xu, Aishi Xu, Aixiao Xu, Andrew Z Xu, Anlong Xu, Anqi Xu, Anton Xu, Aohong Xu, Aoling Xu, Bai-Hui Xu, Baijie Xu, Banglao Xu, Baofeng Xu, Baoping Xu, Bei Xu, Beibei Xu, Beisi Xu, Benhong Xu, Bi-Yun Xu, Biao Xu, Bilian Xu, Bilin Xu, Bin Xu, Bing Xu, Bing-E Xu, Bingfang Xu, Bingqi Xu, Bingqian Xu, Bingqing Xu, Bingxin Xu, Binqiang Xu, Bo Xu, Bocheng Xu, Bojie Xu, Boming Xu, Boqing Xu, C C Xu, C F Xu, Cai Xu, Caiqiu Xu, Caixia Xu, Carrie Xu, Chan Xu, Chang Xu, Chang-Qing Xu, Changde Xu, Changfu Xu, Changlin Xu, Changliu Xu, Changlu Xu, Changwu Xu, Chao Xu, Chaoguang Xu, Chaohua Xu, Chaoqun Xu, Chaoyu Xu, Chen Xu, Chen-Run Xu, Chen-Yang Xu, Cheng Xu, Cheng-Bin Xu, Cheng-Jian Xu, Chengbi Xu, Chengkai Xu, Chengqi Xu, Chengxun Xu, Chengye Xu, Chengyun Xu, Chenhao Xu, Chenjie Xu, Chenqi Xu, Chentong Xu, Chong Xu, Chong-Feng Xu, Chuang Xu, Chuanrui Xu, Chun Xu, Chunhui Xu, Chunjie Xu, Chunlan Xu, Chunli Xu, Chunlin Xu, Chunming Xu, Chunwei Xu, Chunxiao Xu, Chunyan Xu, Chunyu Xu, Cian Xu, Cineng Xu, Cong Xu, Cong-jian Xu, Congjian Xu, Cun Xu, Cunshuan Xu, Cynthia M Xu, D Xu, D-J Xu, Da Xu, Da-Peng Xu, Daichao Xu, Daiqi Xu, Dan Xu, Dandan Xu, Danfeng Xu, Danning Xu, Danping Xu, Danyan Xu, Danyi Xu, Daohua Xu, Dapeng Xu, Daqian Xu, Dawei Xu, De Xu, De-Xiang Xu, Dequan Xu, Dexiang Xu, Di Xu, Di-Mei Xu, Dilin Xu, Ding Xu, Dong Xu, Dong-Hui Xu, Dong-Juan Xu, DongZhu Xu, Dongchen Xu, Donghang Xu, Dongju Xu, Dongjun Xu, Dongke Xu, Dongmei Xu, Enwei Xu, Erping Xu, F F Xu, F Xu, Fang Xu, Fang-Fang Xu, Fang-Yuan Xu, Fangfang Xu, Fanghua Xu, Fangmin Xu, Fangui Xu, Fei Xu, Feilai Xu, Fen Xu, Feng Xu, Feng-Qin Xu, Feng-Xia Xu, Feng-Yuan Xu, Fenghuang Xu, Fengqin Xu, Fengxia Xu, Fengyan Xu, Fengzhe Xu, Flora Mengyang Xu, Fu Xu, Fuyi Xu, G Xu, Gang Xu, Gangchun Xu, Gaosi Xu, Gaoyuan Xu, Genxing Xu, George X Xu, Geyang Xu, Gezhi Xu, Gu-Feng Xu, Guang Xu, Guang-Hong Xu, Guang-Qing Xu, Guanghao Xu, Guangquan Xu, Guangsen Xu, Guangwei Xu, Guangyan Xu, Guangyu Xu, Guanhua Xu, Guanlan Xu, Guanyi Xu, Gui-Ping Xu, Guifa Xu, Guiyun Xu, Guo Xu, Guo-Liang Xu, Guo-Tong Xu, Guo-Xing Xu, Guofeng Xu, Guogang Xu, Guoheng Xu, Guoliang Xu, Guoshuai Xu, Guowang Xu, Guoxu Xu, Guozheng Xu, H Eric Xu, H F Xu, H X Xu, H Y Xu, Haifeng Xu, Haijin Xu, Haikun Xu, Hailey Xu, Hailiang Xu, Haiman Xu, Haimin Xu, Haiming Xu, Haiqi Xu, Haixia Xu, Haixiang Xu, Haiyan Xu, Haiying Xu, Han Xu, Hanchen Xu, Hanfei Xu, Hang Xu, Hanqian Xu, Hanting Xu, Hanyuan Xu, Hao Xu, Haoda Xu, Haonan Xu, Haowen Xu, Haoyang Xu, Haoyu Xu, Heng Xu, Hengyi Xu, Heping Xu, Hong Xu, Hong-Yan Xu, Hong-tao Xu, Hong-wei Xu, Hongbei Xu, Hongbo Xu, Hongen Xu, Hongfa Xu, Hongjian Xu, Hongjiang Xu, Hongle Xu, Hongli Xu, Honglin Xu, Hongmei Xu, Hongming Xu, Hongrong Xu, Hongtao Xu, Hongwei Xu, Hongwen Xu, Hongxia Xu, Hongyan Xu, Hongzhi Xu, Houguo Xu, Houxi Xu, Hu Xu, Hua Xu, Huaisha Xu, Huaiyuan Xu, Huajun Xu, Huan Xu, Huaxiang Xu, Hui Ming Xu, Hui Xu, Hui-Lian Xu, HuiTing Xu, Huihui Xu, Huimian Xu, Huiming Xu, Huiqiong Xu, Huixuan Xu, Iris M J Xu, J T Xu, J Xu, Janfeng Xu, Jason Xu, Jia Xu, Jia-Chen Xu, Jia-Li Xu, Jia-Mei Xu, Jia-Xin Xu, Jia-Yue Xu, Jiaai Xu, Jiacheng Xu, Jiachi Xu, Jiahong Xu, Jiahui Xu, Jiajia Xu, Jiajie Xu, Jiake Xu, Jiali Xu, Jialin Xu, Jialu Xu, Jiaming Xu, Jian Hua Xu, Jian Xu, Jian-Guang Xu, Jiancheng Xu, Jianfeng Xu, Jiang Xu, Jiangang Xu, Jianguang Xu, Jianguo Xu, Jianhua Xu, Jianing Xu, Jianjuan Xu, Jianliang Xu, Jianming Xu, Jianping Xu, Jianqiu Xu, Jianwei Xu, Jianxin Xu, Jianyong Xu, Jiapei Xu, Jiapeng Xu, Jiaqi Xu, Jiaqian Xu, Jiaqin Xu, Jiawei Xu, Jiaying Xu, Jiayunzhu Xu, Jie Xu, Jie-Hua Xu, Jiean Xu, Jielin Xu, Jin Xu, Jinchao Xu, Jinfeng Xu, Jing Xu, Jing-Yi Xu, Jing-Ying Xu, Jing-Yu Xu, Jinghong Xu, Jinghua Xu, Jingjie Xu, Jingjing Xu, Jingjun Xu, Jinguo Xu, Jingya Xu, Jingyi Xu, Jingying Xu, Jingyu Xu, Jingzhou Xu, Jinhe Xu, Jinhua Xu, Jinjian Xu, Jinjie Xu, Jinjin Xu, Jinsheng Xu, Jinshu Xu, Jinsong Xu, Jinxian Xu, Jinxin Xu, Jinyi Xu, Jinying Xu, Jinyu Xu, Jinyuan Xu, Jishu Xu, Jixuan Xu, Jiyi Xu, Jiyu Xu, Julie Xu, Jun Xu, Jun-Chao Xu, Junchang Xu, Junfei Xu, Junfeng Xu, Junjie Xu, Junnv Xu, Kai Xu, Kaihao Xu, Kailian Xu, Kaishou Xu, Kaixiang Xu, Kaiyue Xu, Ke Xu, Keke Xu, Keli Xu, Kelin Xu, Keman Xu, Keshu Xu, Kewei Xu, Kexin Xu, Keyun Xu, Kuanfeng Xu, Kun Xu, L Xu, Laizhi Xu, Lanjin Xu, Lei Xu, Leilei Xu, Leisheng Xu, Leiting Xu, Leiyu Xu, Leyuan Xu, Li Xu, Li-Jun Xu, Li-Li Xu, Li-Ling Xu, Li-Wei Xu, Li-Yan Xu, Li-Zhi Xu, Lian-Wei Xu, Liang Xu, Lianjun Xu, Libin Xu, Lichi Xu, Lidan Xu, Lifen Xu, Lihui Xu, Lijiao Xu, Lijuan Xu, Lijun Xu, Lili Xu, Limin Xu, Lin Xu, Ling Xu, Lingjuan Xu, Lingli Xu, Lingling Xu, Lingna Xu, Lingxiang Xu, Lingyan Xu, Lingyang Xu, Lingyao Xu, Lingyi Xu, Linna Xu, Linyan Xu, Liping Xu, Liqun Xu, Lisha Xu, Lisi Xu, Liu Xu, Liwen Xu, Liyi Xu, Long Xu, Longfei Xu, Longsheng Xu, Lu Xu, Lu-Lu Xu, Lubin Xu, Lun-Shan Xu, Luyi Xu, M Xu, M-Y Xu, Mai Xu, Man Xu, Manman Xu, Manyi Xu, Mao Xu, Maochang Xu, Maodou Xu, Maotian Xu, Mei Xu, Mei-Jun Xu, Meifang Xu, Meifeng Xu, Meishu Xu, Meixi Xu, Meiyu Xu, Meng Xu, Mengjie Xu, Mengjun Xu, Mengmeng Xu, Mengping Xu, Mengqi Xu, Mengru Xu, Mengsi Xu, Mengyi Xu, Mengying Xu, Mengyue Xu, Miao Xu, Miaomiao Xu, Min Jie Xu, Min Xu, Min-Xuan Xu, Ming Xu, Ming-Jiang Xu, Ming-Zhu Xu, Mingcong Xu, Minghao Xu, Minghong Xu, Mingjie Xu, Minglan Xu, Mingli Xu, Mingliang Xu, Mingming Xu, Mingqian Xu, Mingyuan Xu, Mingzhu Xu, Minxuan Xu, Mu Xu, N Y Xu, Nan Xu, Nannan Xu, Nathan Xu, Nenggui Xu, Ning Xu, Ning'an Xu, Ningda Xu, Nong Xu, Nuo Xu, Pan Xu, Panpan Xu, Pao Xu, Peidi Xu, Peigang Xu, Peiwei Xu, Peiyu Xu, Peng Xu, Peng-Ju Xu, Peng-Yuan Xu, Pengfei Xu, Penghui Xu, Pengjie Xu, Pengli Xu, Pin-Xian Xu, Ping Xu, Pingwen Xu, Pu Xu, Q P Xu, Qi Xu, Qi-Qi Xu, Qian Xu, Qian-Fei Xu, Qianghua Xu, Qianhui Xu, Qianlan Xu, Qianqian Xu, Qianzhu Xu, Qiaoshi Xu, Qihang Xu, Qikui Xu, Qiming Xu, Qin Xu, Qin-Zhi Xu, Qing Xu, Qing-Wen Xu, Qing-Yang Xu, Qingchan Xu, Qingheng Xu, Qinghua Xu, Qingjia Xu, Qingqing Xu, Qingqiu Xu, Qingwen Xu, Qingxia Xu, Qingyuan Xu, Qinli Xu, Qinwen Xu, Qiong Xu, Qiongying Xu, Qiu-Han Xu, Qiuhong Xu, Qiuhui Xu, Qiulin Xu, Qiushi Xu, Qiuyu Xu, Qiuyue Xu, Qiuyun Xu, Quanzhong Xu, Ran Xu, Rang Xu, Ren Xu, Ren-He Xu, Renfang Xu, Renshi Xu, Renyuan Xu, Richard H Xu, Rong Xu, Rongbin Xu, Rongrong Xu, Rongying Xu, Ru-xiang Xu, Rui Xu, Rui-Hua Xu, Rui-Ming Xu, Rui-Xia Xu, Ruifeng Xu, Ruiling Xu, Run-Xiang Xu, Runhao Xu, Ruohong Xu, Ruonan Xu, Ruxiang Xu, S Xu, Shan Xu, Shan-Rong Xu, Shan-Shan Xu, Shang-Fu Xu, Shang-Rong Xu, Shanhai Xu, Shanqi Xu, Shanqiang Xu, Shanshan Xu, Shaonian Xu, Shaoqi Xu, Shendong Xu, Sheng-Qian Xu, Shengen Xu, Shengjie Xu, Shengtao Xu, Shengyu Xu, Shi-Na Xu, Shihao Xu, Shihui Xu, Shiliyang Xu, Shimeng Xu, Shiqing Xu, Shiwen Xu, Shiyao Sherrie Xu, Shiyi Xu, Shiyun Xu, Shoujia Xu, Shu-Xian Xu, Shu-Zhen Xu, Shuai Xu, Shuaili Xu, Shuang Xu, Shuangbing Xu, Shude Xu, Shufen Xu, Shuhua Xu, Shuiyang Xu, Shujing Xu, Shun Xu, Shunjiang Xu, Shuqia Xu, Shutao Xu, Shuwan Xu, Shuwen Xu, Shuxiang Xu, Sifan Xu, Sihua Xu, Siqun Xu, Song Xu, Song-Hui Xu, Song-Song Xu, Songli Xu, Songsong Xu, Steven Jing-Liang Xu, Suling Xu, Suo-Wen Xu, Suowen Xu, Suoyu Xu, Sutong Xu, T Xu, Tan Xu, Tao Xu, Tengfei Xu, Tengxiao Xu, Tengyun Xu, Tian Xu, Tian-Le Xu, Tian-Rui Xu, Tian-Ying Xu, TianBo Xu, Tiancheng Xu, Tianfeng Xu, Tianli Xu, Tianmin Xu, Tiantian Xu, Tianxiang Xu, Tianyi Xu, Tianyu Xu, Tieshan Xu, Ting Xu, Ting-Xin Xu, Tingting Xu, Tingxuan Xu, Tong Xu, Tongda Xu, Tonghong Xu, Tongtong Xu, Tongxin Xu, Tongyang Xu, W M Xu, W W Xu, W Xu, Wan-Ting Xu, Wancheng Xu, Waner Xu, Wanfu Xu, Wang-Dong Xu, Wang-Hong Xu, Wangdong Xu, Wanhai Xu, Wanqi Xu, Wanting Xu, Wanwan Xu, Wanxue Xu, Wei Xu, Weide Xu, Weidong Xu, Weifeng Xu, Weihai Xu, Weihong Xu, Weijie Xu, Weilan Xu, Weili Xu, Weiming Xu, Weiqun Xu, Weixia Xu, Weiyong Xu, Weizhi Xu, Wen Xu, Wen-Hao Xu, Wen-Hui Xu, Wen-Juan Xu, Wen-Xiong Xu, Wenbin Xu, Wenchun Xu, Wenhao Xu, Wenhuan Xu, Wenhui Xu, Wenjie Xu, Wenjing Xu, Wenjuan Xu, Wenjun Xu, Wenlong Xu, Wenming Xu, Wenping Xu, Wenqi Xu, Wenqing Xu, Wentao Xu, Wenwen Xu, Wenwu Xu, Wenxin Xu, Wenxuan Xu, Wenyan Xu, Wenyuan Xu, Wenzhuo Xu, X S Xu, X Xu, Xia Xu, Xia-Jing Xu, Xiang Xu, Xiang-Min Xu, Xiang-liang Xu, Xiangbin Xu, Xianghong Xu, Xiangshan Xu, Xiangyu Xu, Xianli Xu, Xiao Le Xu, Xiao Xu, Xiao-Dan Xu, Xiao-Hua Xu, Xiao-Hui Xu, Xiao-Lin Xu, Xiao-Shan Xu, Xiaobo Xu, Xiaocheng Xu, Xiaofang Xu, Xiaofeng Xu, Xiaoge Xu, Xiaohan Xu, Xiaohong Ruby Xu, Xiaohui Xu, Xiaojiang Xu, Xiaojiao Xu, Xiaojin Xu, Xiaojing Xu, Xiaojuan Xu, Xiaojun Xu, Xiaoke Xu, Xiaolei Xu, Xiaoli Xu, Xiaolin Xu, Xiaolong Xu, Xiaolu Xu, Xiaomeng Xu, Xiaoming Xu, Xiaopeng Xu, Xiaoqin Xu, Xiaoshuang Xu, Xiaotao Xu, Xiaoting Xu, Xiaowen Xu, Xiaowu Xu, Xiaoya Xu, Xiaoyan Xu, Xiaoyang Xu, Xiaoyin Xu, Xiaoyu Xu, Xiayun Xu, Xihui Xu, Xin Xu, Xin-Rong Xu, Xingmeng Xu, Xingsheng Xu, Xingshun Xu, Xingyan Xu, Xingyu Xu, Xingzhi Xu, Xinjie Xu, Xinxuan Xu, Xinyi Xu, Xinyin Xu, Xinyu Xu, Xinyuan Xu, Xinyue Xu, Xinyun Xu, Xiongfei Xu, Xiqi Xu, Xirui Xu, Xiufeng Xu, Xizhan Xu, Xizheng Xu, Xu Xu, Xuan Xu, Xuanqi Xu, Xuegong Xu, Xuejin Xu, Xuejun Xu, Xueni Xu, Xun Xu, Xuting Xu, Y Xu, Ya'nan Xu, Ya-Nan Xu, Ya-Peng Xu, Ya-Ru Xu, Ya-lin Xu, Yali Xu, Yaling Xu, Yan Xu, YanFeng Xu, Yana Xu, Yanan Xu, Yanchang Xu, Yancheng Xu, Yanfei Xu, Yang Xu, Yangbin Xu, Yangliu Xu, Yangxian Xu, Yangyang Xu, Yanjun Xu, Yanli Xu, Yanling Xu, Yanming Xu, Yanni Xu, Yanqi Xu, Yanquan Xu, Yanwu Xu, Yanyan Xu, Yanyang Xu, Yanyong Xu, Yanzhe Xu, Yao Xu, Yaobo Xu, Yaowen Xu, Yaozeng Xu, Yaping Xu, Yaqi Xu, Yaqin Xu, Yaru Xu, Yawei Xu, Yayun Xu, Ye Xu, Yechun Xu, Yeqiu Xu, Yetao Xu, Yi Ran Xu, Yi Xu, Yi-Huan Xu, Yi-Liang Xu, Yi-Ni Xu, Yi-Tong Xu, Yi-Xian Xu, Yibin Xu, Yichi Xu, Yidan Xu, Yifan Xu, Yifeng Xu, Yigang Xu, Yihua Xu, Yimeng Xu, Yiming Xu, Yin Xu, Yinfeng Xu, Ying Xu, Yingju Xu, Yingli Xu, Yinglin Xu, Yingna Xu, Yingqianxi Xu, Yingzheng Xu, Yinhe Xu, Yinjie Xu, Yinli Xu, Yinxia Xu, Yinying Xu, Yiquan Xu, Yiting Xu, Yitong Xu, Yixin Xu, Yiyi Xu, Yong Xu, Yong-Nan Xu, Yongfeng Xu, Yongjian Xu, Yongmei Xu, Yongqing Xu, Yongsheng Xu, Yongsong Xu, You-Song Xu, Youjia Xu, Youping Xu, Youzhi Xu, Yu Xu, Yu-Fen Xu, Yu-Ming Xu, Yu-Peng Xu, Yu-Ping Xu, Yu-Xin Xu, Yuan Xu, Yuanfeng Xu, Yuanhong Xu, Yuanwei Xu, Yuanyuan Xu, Yuanzhi Xu, Yuanzhong Xu, Yubin Xu, Yuchen Xu, Yucheng Xu, Yue Xu, Yuejuan Xu, Yuerong Xu, Yuexin Xu, Yuexuan Xu, Yueyue Xu, Yuhan Xu, Yuheng Xu, Yujie Xu, Yuli Xu, Yuling Xu, Yun Xu, Yun-Teng Xu, Yunfang Xu, Yunfei Xu, Yungen Xu, Yunhe Xu, Yunjian Xu, Yunxi Xu, Yunxuan Xu, Yunyi Xu, Yuping Xu, Yurui Xu, Yushan Xu, Yuting Xu, Yuxiang Xu, Yuyang Xu, Yuzhen Xu, Yuzhi Xu, Yuzhong Xu, Z Xu, Zaibin Xu, Zaihua Xu, Zaikun Xu, Zaoyi Xu, Ze-Jun Xu, Zeao Xu, Zebang Xu, Zefeng Xu, Zejun Xu, Zekuan Xu, Zelin Xu, Zengliang Xu, Zeqing Xu, Zesheng Xu, Zetan Xu, Zeya Xu, Zeyu Xu, Zhan Xu, Zhanchi Xu, Zhanqiong Xu, Zhanyu Xu, Zhaofa Xu, Zhaojun Xu, Zhaoyao Xu, Zhe Xu, Zhen-Guo Xu, Zheng Xu, Zheng-Fan Xu, Zheng-Hong Xu, Zhengang Xu, Zhengshui Xu, Zhenming Xu, Zhenyu Xu, Zhenzhou Xu, Zhi Ping Xu, Zhi Xu, Zhi-Feng Xu, Zhi-Qing David Xu, Zhi-Zhen Xu, Zhicheng Xu, Zhidong Xu, Zhigang Xu, Zhihua Xu, Zhijie Xu, Zhiliang Xu, Zhilong Xu, Zhipeng Xu, Zhiqiang Xu, Zhiru Xu, Zhiting Xu, Zhiwei Xu, Zhixian Xu, Zhiyang Xu, Zhiyao Xu, Zhizhen Xu, Zhong Xu, Zhong-Hua Xu, Zhonghui Xu, Zhongwei Xu, Zhuangzhuang Xu, Zhunan Xu, Zi-Hua Xu, Zi-Xiang Xu, Zichuan Xu, Zifan Xu, Zihao Xu, Zihe Xu, Zihua Xu, Ziqi Xu, Ziwei Xu, Zixuan Xu, Ziyang Xu, Ziye Xu, Ziyu Xu, Zongli Xu, Zongren Xu, Zongzhen Xu, Zuojun Xu, Zuyuan Xu
articles

Integrative analysis reveals chemokines CCL2 and CXCL5 mediated shear stress-induced aortic dissection formation.

Chao Xue, Liqing Jiang, Bin Zhang +12 more · 2024 · Heliyon · Elsevier · added 2026-04-24
Aortic dissection (AD) is a critical emergency in cardiovascular disease. AD occurs only in specific sites of the aorta, and the variation of shear stress in different aortic segments is a possible ca Show more
Aortic dissection (AD) is a critical emergency in cardiovascular disease. AD occurs only in specific sites of the aorta, and the variation of shear stress in different aortic segments is a possible cause not reported. This study investigated the key molecules involved in shear stress-induced AD through quantitative bioinformatic analysis of a public RNA sequencing database and clinical tissue sample validation. Gene expression data from the GSE153434, GSE147026, and GSE52093 datasets were downloaded from the Gene Expression Omnibus. Next, differently expressed genes (DEGs) in each dataset were identified and integrated to identify common AD DEGs. STRING, Cytoscape, and MCODE were used to identify hub genes and crucial clustering modules, and Connectivity Map (CMap) was used to identify positive and negative agents. The same procedure was performed for the GSE160611 dataset to obtain shear stress-induced human aortic endothelial cell (HAEC) DEGs. After the integration of these two DEGs sets to identify shear stress-associated hub DEGs in AD, Gene Ontology Enrichment Analysis was performed. The common chemokine receptors and ligands in AD were identified by analyzing AD's three RNA sequencing datasets. Their origin was verified by analyzing AD single-cell sequencing data and validated by immunoblotting and immunofluorescence. We identified 100 down-regulated and 50 up-regulated AD common DEGs. Enrichment results showed that common DEGs were closely related to blood vessel morphogenesis, muscle structure development, muscle tissue development, and chemotaxis. Among those DEGs, MYC, CCL2, and SPP1 are the three molecules with the highest degree. A crucial cluster of 15 genes was identified using MCODE, which contained inflammation-related genes with elevated expression and muscle cell-related genes with decreased expression, and CCL2 is central to immune-related genes. CMap confirmed MEK inhibitors and ALK inhibitors as possible therapeutic agents for AD. Moreover, 366 shear stress-associated DEGs in HAEC were identified in the GSE160611 dataset. After taking the intersection, we identified five shear stress-associated hub DEGs in AD (ANGPTL4, SNAI2, CCL2, GADD45B, and PROM1), and the enrichment analysis indicated they were related to the endothelial cell apoptotic process. Chemokine CCL2 was the molecule with a high degree in both DEG sets. Besides CCL2, CXCL5 was the only chemokine ligand differentially expressed in the three datasets. Additionally, immunoblotting confirmed the increased expression of CCL2 and CXCL5 in clinical tissue samples. Further research at the single-cell level revealed that CCL2 has multiple origins, and CXCL5 is macrophage-derived. Through integrative analysis, we identified core common AD DEGs and possible therapeutic agents based on these DEGs. We elucidated that the chemokine CCL2 and CXCL5-mediated "Endothelial-Monocyte-Neutrophil" axis may contribute to the development of shear stress-induced AD. These findings provide possible therapeutic targets for the prevention and treatment of AD. Show less
📄 PDF DOI: 10.1016/j.heliyon.2023.e23312
ANGPTL4

Apolipoprotein A-IV and its derived peptide, T55-121, improve glycemic control and increase energy expenditure.

Zhen Cao, Lei Lei, Ziyun Zhou +13 more · 2024 · Life metabolism · Oxford University Press · added 2026-04-24
It is crucial to understand the glucose control within our bodies. Bariatric/metabolic surgeries, including laparoscopic sleeve gastrectomy (LSG) and Roux-en-Y gastric bypass (RYGB), provide an avenue Show more
It is crucial to understand the glucose control within our bodies. Bariatric/metabolic surgeries, including laparoscopic sleeve gastrectomy (LSG) and Roux-en-Y gastric bypass (RYGB), provide an avenue for exploring the potential key factors involved in maintaining glucose homeostasis since these surgeries have shown promising results in improving glycemic control among patients with severe type 2 diabetes (T2D). For the first time, a markedly altered population of serum proteins in patients after LSG was discovered and analyzed through proteomics. Apolipoprotein A-IV (apoA-IV) was revealed to be increased dramatically in diabetic obese patients following LSG, and a similar effect was observed in patients after RYGB surgery. Moreover, recombinant apoA-IV protein treatment was proven to enhance insulin secretion in isolated human islets. These results showed that apoA-IV may play a crucial role in glycemic control in humans, potentially through enhancing insulin secretion in human islets. ApoA-IV was further shown to enhance energy expenditure and improve glucose tolerance in diabetic rodents, through stimulating glucose-dependent insulin secretion in pancreatic β cells, partially via Gαs-coupled GPCR/cAMP (G protein-coupled receptor/cyclic adenosine monophosphate) signaling. Furthermore, T55-121, truncated peptide 55-121 of apoA-IV, was discovered to mediate the function of apoA-IV. These collective findings contribute to our understanding of the relationship between apoA-IV and glycemic control, highlighting its potential as a biomarker or therapeutic target in managing and improving glucose regulation. Show less
📄 PDF DOI: 10.1093/lifemeta/loae010
APOA4

Attenuation of high-fat diet-induced weight gain by apolipoprotein A4.

Hsuan-Chih N Kuo, Zachary LaRussa, Flora Mengyang Xu +7 more · 2024 · Obesity (Silver Spring, Md.) · Wiley · added 2026-04-24
Apolipoprotein A4 (APOA4) is synthesized by the small intestine in response to dietary lipids. Chronic exposure to a high-fat diet (HFD) desensitizes lipid-induced APOA4 production and attenuates brow Show more
Apolipoprotein A4 (APOA4) is synthesized by the small intestine in response to dietary lipids. Chronic exposure to a high-fat diet (HFD) desensitizes lipid-induced APOA4 production and attenuates brown adipose tissue (BAT) thermogenesis. We hypothesized that exogenous APOA4 could increase BAT thermogenesis and energy expenditure in HFD-fed mice, resulting in decreased obesity and improved glucose tolerance. BAT and inguinal white adipose tissue (IWAT) thermogenesis, body composition, energy intake and expenditure, and locomotor activity were measured using an infrared camera, immunoblots, quantitative magnetic resonance imaging, and a comprehensive lab animal monitoring system. An intraperitoneal glucose tolerance test and hepatic lipid accumulation and steatosis were assayed. Mice receiving continuous infusion of APOA4 for the last 4 weeks of 10 weeks of HFD feeding gained no additional body weight and had reduced fat mass but enhanced BAT and IWAT thermogenesis and energy expenditure, despite unaltered food intake and locomotor activity. Additionally, APOA4 infusion elevated fatty acid β oxidation; decreased lipogenesis, lipid accumulation, and steatosis in liver; and improved glucose tolerance. Maintenance of plasma APOA4 via exogenous APOA4 protein parallels elevation of BAT and IWAT thermogenesis, hepatic fatty acid β oxidation, and overall energy expenditure, with subsequent prevention of additional weight gain in HFD-fed obese mice. Show less
📄 PDF DOI: 10.1002/oby.24155
APOA4

Genome-wide variation study and inter-tissue communication analysis unveil regulatory mechanisms of egg-laying performance in chickens.

Dandan Wang, Lizhi Tan, Yihao Zhi +20 more · 2024 · Nature communications · Nature · added 2026-04-24
Egg-laying performance is of great economic importance in poultry, but the underlying genetic mechanisms are still elusive. In this work, we conduct a multi-omics and multi-tissue integrative study in Show more
Egg-laying performance is of great economic importance in poultry, but the underlying genetic mechanisms are still elusive. In this work, we conduct a multi-omics and multi-tissue integrative study in hens with distinct egg production, to detect the hub candidate genes and construct hub molecular networks contributing to egg-laying phenotypic differences. We identifiy three hub candidate genes as egg-laying facilitators: TFPI2, which promotes the GnRH secretion in hypothalamic neuron cells; CAMK2D, which promotes the FSHβ and LHβ secretion in pituitary cells; and OSTN, which promotes granulosa cell proliferation and the synthesis of sex steroid hormones. We reveal key endocrine factors involving egg production by inter-tissue crosstalk analysis, and demonstrate that both a hepatokine, APOA4, and an adipokine, ANGPTL2, could increase egg production by inter-tissue communication with hypothalamic-pituitary-ovarian axis. Together, These results reveal the molecular mechanisms of multi-tissue coordinative regulation of chicken egg-laying performance and provide key insights to avian reproductive regulation. Show less
📄 PDF DOI: 10.1038/s41467-024-50809-9
APOA4

Orphan Nuclear Receptor NR4A3 Promotes Vascular Calcification via Histone Lactylation.

Wenqi Ma, Kangni Jia, Haomai Cheng +14 more · 2024 · Circulation research · added 2026-04-24
Medial arterial calcification is a chronic systemic vascular disorder distinct from atherosclerosis and is commonly observed in patients with chronic kidney disease, diabetes, and aging individuals. W Show more
Medial arterial calcification is a chronic systemic vascular disorder distinct from atherosclerosis and is commonly observed in patients with chronic kidney disease, diabetes, and aging individuals. We previously showed that NR4A3 (nuclear receptor subfamily 4 group A member 3), an orphan nuclear receptor, is a key regulator in apo (apolipoprotein) A-IV-induced atherosclerosis progression; however, its role in vascular calcification is poorly understood. We generated NR4A3 NR4A3 expression was upregulated in calcified aortic tissues from chronic kidney disease mice, 1,25(OH) Taken together, our findings reveal that NR4A3-mediated histone lactylation is a novel metabolome-epigenome signaling cascade mechanism that participates in the pathogenesis of medial arterial calcification. Show less
no PDF DOI: 10.1161/CIRCRESAHA.123.323699
APOA4

Apolipoprotein A-IV restrains fat accumulation in skeletal and myocardial muscles by inhibiting lipogenesis and activating PI3K-AKT signalling.

Wenqian Zhang, Xiao-Huan Liu, Jin-Ting Zhou +4 more · 2024 · Archives of physiology and biochemistry · Taylor & Francis · added 2026-04-24
One of the pathological characteristics of obesity is fat accumulation of skeletal muscles (SKM) and the myocardium, involving mechanisms of insulin resistance and abnormal lipid metabolism. Apolipopr Show more
One of the pathological characteristics of obesity is fat accumulation of skeletal muscles (SKM) and the myocardium, involving mechanisms of insulin resistance and abnormal lipid metabolism. Apolipoprotein A-IV (ApoA-IV) is an essential gene in both glucose and lipid metabolisms. Using high-fat diet (HFD) induced obese In stable obese animal models, we find ApoA-IV-knockout mice show elevated TG content, enhanced expression of lipogenic enzymes and diminished phosphorylated AKT in SKM and the myocardium, but both stable hepatic expression of AAV- We find that ApoA-IV reduces fat accumulation by suppressing lipogenesis and improves glucose uptake in SKM and the myocardium by regulating the PI3K-AKT pathway. Show less
no PDF DOI: 10.1080/13813455.2022.2163261
APOA4

APOA5 alleviates reactive oxygen species to promote oxaliplatin resistance in PIK3CA-mutated colorectal cancer.

Yu-Lin Liu, Zhuo Xiang, Bo-Ya Zhang +7 more · 2024 · Aging · Impact Journals · added 2026-04-24
Although platinum-based chemotherapy is the frontline regimen for colorectal cancer (CRC), drug resistance remains a major challenge affecting its therapeutic efficiency. However, there is limited res Show more
Although platinum-based chemotherapy is the frontline regimen for colorectal cancer (CRC), drug resistance remains a major challenge affecting its therapeutic efficiency. However, there is limited research on the correlation between chemotherapy resistance and lipid metabolism, including PIK3CA mutant tumors. In this present study, we found that PIK3CA-E545K mutation attenuated cell apoptosis and increased the cell viability of CRC with L-OHP treatment Show less
📄 PDF DOI: 10.18632/aging.205872
APOA5

Depletion of ApoA5 aggravates spontaneous and diet-induced nonalcoholic fatty liver disease by reducing hepatic NR1D1 in hamsters.

Jiabao Guo, Guolin Miao, Wenxi Zhang +12 more · 2024 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.91084
APOA5

Exploring the associations of plasma proteins with frailty based on Mendelian randomization.

Shuhui Chen, Hao Lin, Bin Liu +4 more · 2024 · BMC immunology · BioMed Central · added 2026-04-24
Frailty is an emerging global burden of disease, characterized as an age-related clinical syndrome. Recent studies have suggested a potential link of circulating protein levels with the onset of frail Show more
Frailty is an emerging global burden of disease, characterized as an age-related clinical syndrome. Recent studies have suggested a potential link of circulating protein levels with the onset of frailty. This study aims to analyze the potential causal relationships of plasma proteins with frailty using a Mendelian Randomization (MR) study design. Associations of plasma proteins with frailty were assessed using inverse variance weighted (IVW), MR-Egger regression, weighted median, maximum-likelihood method, and MR-PRESSO test. Protein-protein interaction network construction and gene ontology functional enrichment analysis were conducted based on MR-identified target proteins. After false discovery rate (FDR) correction, MR analysis identified five plasma proteins, including BIRC2 [OR = 0.978, 95%CI (0.967-0.990)] and PSME1 [OR = 0.936, 95%CI (0.909-0.965)], as protective factors against frailty, and 49 proteins, including APOB [OR = 1.053, 95%CI (1.037-1.069)] and CYP3A4 [OR = 1.098, 95%CI (1.068-1.128)], as risk factors. Network analysis suggested BIRC2, PSME1, APOE, and CTNNB1 as key intervention targets. This study employed MR design to investigate the association of circulating plasma proteins with frailty, identified five proteins negatively associated with frailty risk and 49 proteins positively associated with frailty. Show less
📄 PDF DOI: 10.1186/s12865-024-00677-1
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Blood lipid metabolic biomarkers are emerging as significant prognostic indicators for survival in cancer patients.

Qiliang Peng, Changli Zhan, Yi Shen +6 more · 2024 · BMC cancer · BioMed Central · added 2026-04-24
Dyslipidemia is a common comorbidity in patients with cancer, yet the impact of abnormal lipid levels on tumor prognosis remains contentious. This study was conducted to synthesize the current evidenc Show more
Dyslipidemia is a common comorbidity in patients with cancer, yet the impact of abnormal lipid levels on tumor prognosis remains contentious. This study was conducted to synthesize the current evidence regarding the prognostic utility of blood lipid levels, including high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB), in predicting overall survival (OS) and disease-free survival (DFS) in cancer patients. A comprehensive literature search was performed across electronic databases to assess the associations between blood lipid levels and OS or DFS in cancer patients. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to analyze the data. The research protocol was previously submitted to the International Prospective Register of Systematic Reviews (PROSPERO): CRD42023458597. Our study represents the largest and most extensive evaluation of the prognostic significance of blood lipid levels in cancer to date. It includes a meta-analysis of 156 eligible studies involving 85,173 cancer patients. The findings revealed a significant association between elevated levels of HDL-C, TC, and ApoA1 and improved OS and DFS in cancer patients. In contrast, no significant relationships were identified between LDL-C, TG, and ApoB levels and the OS or DFS of cancer patients. Blood lipids, particularly HDL-C, TC, and ApoA1, emerge as accessible and cost-effective biomarkers that may aid in assessing survival outcomes in cancer patients and potentially inform clinical decision-making. Show less
📄 PDF DOI: 10.1186/s12885-024-13265-8
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Efficacy of Jiangzhi Mai'an Granules in the treatment of stable angina pectoris with phlegm and blood stasis obstruction and carotid artery plaque: A prospective randomized study.

Jianhua Fan, Chang Yu, Huan Tang +8 more · 2024 · Medicine · added 2026-04-24
Stable angina pectoris, resulting from coronary artery atherosclerosis, significantly affects quality of life and carries a high risk of cardiovascular events. Despite modern therapies, managing this Show more
Stable angina pectoris, resulting from coronary artery atherosclerosis, significantly affects quality of life and carries a high risk of cardiovascular events. Despite modern therapies, managing this condition remains challenging. Traditional Chinese medicine (TCM) views it as a syndrome of heart meridian obstruction by phlegm and blood stasis, necessitating improved circulation and phlegm resolution. This study aims to evaluate the efficacy of Jiangzhi Mai'an Granules, a TCM formulation, in treating stable angina pectoris and carotid atherosclerosis, with the goal of integrating TCM with Western medicine to enhance clinical outcomes and patients' quality of life. A total of 120 patients diagnosed with stable angina pectoris and carotid atherosclerotic plaques of the phlegm and blood stasis types were randomly divided into 2 groups. The control group (n = 60) received standard Western medical treatment, whereas the treated group (n = 60) received JZMA in addition to the standard regimen. The treatment duration in both the groups was 3 months. The outcomes measured included carotid intima-media thickness (CIMT), carotid plaque dimensions, TCM syndrome scores, and serum lipid profiles (total cholesterol [TC], triglycerides [TG], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], apolipoprotein B [Apo B], and non-HDL-C) and lipoprotein phospholipase A2 (Lp-PLA2) levels before and after treatment. The treated group achieved a total efficacy rate of 93.3% (56/60), which surpassed the control group rate of 78.3% (47/60). The CIMT, carotid plaque thickness, and area in the treated group were significantly reduced posttreatment compared to baseline (P < .05) and were also lower than those in the control group (P < .05). Serum lipid levels, including TC, TG, LDL-C, ApoB and non-HDL-C were significantly decreased in both groups posttreatment (P < .05), and the treated group showed a further increase in HDL-C levels (P < .05). The treated group exhibited lower serum lipid levels than the control group posttreatment (P < .05). The TCM syndrome scores improved significantly in both groups after treatment (P < .05), with the treated group demonstrating a more pronounced reduction in scores than the control group (P < .05). The incidence of adverse events did not differ significantly between the 2 groups. JZMA combined with standard treatment effectively reduced CIMT, plaque size, and serum lipid levels, thereby enhancing clinical outcomes in patients with stable angina and carotid atherosclerosis. Show less
📄 PDF DOI: 10.1097/MD.0000000000040787
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Association analyses of nutritional markers with Parkinson's disease and Alzheimer's disease.

Dong-Juan Xu, Yi-Lei Shen, Meng-Meng Hu +6 more · 2024 · Heliyon · Elsevier · added 2026-04-24
Parkinson's disease (PD) and Alzheimer's disease (AD) are common neurodegenerative diseases with multifaceted etiology. Nutritional and metabolic abnormalities are frequently implicated in PD and AD. Show more
Parkinson's disease (PD) and Alzheimer's disease (AD) are common neurodegenerative diseases with multifaceted etiology. Nutritional and metabolic abnormalities are frequently implicated in PD and AD. In this observational study, we analyzed a series of nutritional markers, and aimed to understand their association with AD and PD risk. A total of 424 PD patients, 314 AD patients, and 388 healthy controls were included. Nutritional markers including Hemoglobin A1c, vitamin B12, folate, apolipoprotein B (ApoB), apolipoprotein A1 (ApoA1), low-density lipoprotein (LDL), high-density lipoprotein, triglyceride, total cholesterol (TC), uric acid and homocysteine (HCY) were measured. Significance for odds ratios examining was Multifactor risk analysis showed that ApoB, LDL, and TC reduce PD risk, while HCY increase PD risk. ApoA1 and HCY are protective and risk factors for AD, respectively. The cross-sectional study demonstrates that HCY and lipid metabolism markers are associated with PD and AD risks. Our findings support the involvement of one-carbon metabolism and lipid metabolism disturbance in PD and AD. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e40191
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An equation for calculating small dense low-density lipoprotein cholesterol.

Tianjiao Han, Zhe Piao, Zhiguo Yu +2 more · 2024 · Lipids in health and disease · BioMed Central · added 2026-04-24
Small dense low-density lipoprotein cholesterol (sdLDL-C), as an emerging atherogenic factor of cardiovascular diseases, requires additional tests. We aimed to establish a sdLDL-C equation using stand Show more
Small dense low-density lipoprotein cholesterol (sdLDL-C), as an emerging atherogenic factor of cardiovascular diseases, requires additional tests. We aimed to establish a sdLDL-C equation using standard lipid profile and evaluate its capacity of identifying the residual cardiovascular risk beyond LDL-C and apolipoprotein B (ApoB). This cross-sectional study included 25 435 participants from Health Management Cohort and 11 628 participants from China Health and Retirement Longitudinal Study (CHARLS) to construct and evaluate the sdLDL-C equation by least-squares regression model. The equation for sdLDL-C depended on low-density lipoprotein cholesterol (LDL-C) and an interaction term between LDL-C and the natural log of triglycerides (TG). The modified equation (sdLDL-C = 0.14*ln(TG)*LDL-C - 0.45*LDL-C + 10.88) was more accurate than the original equation in validation set (slope = 0.783 vs. 0.776, MAD = 5.228 vs. 5.396). Using the 80th percentile (50 mg/dL) as a risk-enhancer rule for sdLDL-C, accuracy of the modified equation was higher than the original equation in validation set (90.47% vs. 89.73%). The estimated sdLDL-C identified an additional proportion of high-risk individuals in BHMC (4.93%) and CHARLS (1.84%). The newly developed equation in our study provided an accurate tool for estimating sdLDL-C level among the Chinese population as a potential cardiovascular risk-enhancer. Show less
📄 PDF DOI: 10.1186/s12944-024-02345-0
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Distribution of Arteriosclerotic Vessels in Patients with Arteriosclerosis and the Differences of Serum Lipid Levels Classified by Different Sites.

Weiyong Xu, Zhenchang Wang, Huaqing Yao +2 more · 2024 · International journal of general medicine · added 2026-04-24
To investigate the distribution of arteriosclerotic vessels of arteriosclerosis, differential serum lipid profiles, and differences in the proportion of dyslipidaemia between patients with single-site Show more
To investigate the distribution of arteriosclerotic vessels of arteriosclerosis, differential serum lipid profiles, and differences in the proportion of dyslipidaemia between patients with single-site arteriosclerosis and multi-site arteriosclerosis (significant hardening of ≥2 arteries). The data of 6581 single-site arteriosclerosis patients and 5940 multi-site arteriosclerosis patients were extracted from the hospital medical record system. Serum total cholesterol (TC), triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein (Apo) A1, ApoB concentrations and C-reactive protein (CRP) between patients with single-site arteriosclerosis and multi-site arteriosclerosis were collected and analyzed. The most diseased arteries were coronary arteries (n=7099, 33.7%), limb arteries (n=6546, 31.1%), and carotid arteries (n=5279, 25.1%). TC, LDL-C, TC/HDL-C, and LDL-C/HDL-C levels were higher and CRP level was lower in multi-site arteriosclerosis patients than those in single-site arteriosclerosis patients. The TC, LDL-C levels in non-elderly (<65 years old) female patients were higher and TG/HDL-C, TC/HDL-C, LDL-C/HDL-C levels were lower than those in non-elderly male patients, while the TG, TC, LDL-C, and TG/HDL-C levels in elderly (≥65 years old) female patients were higher and LDL-C/HDL-C level was lower than those in elderly male patients. The proportion of dyslipidemia in descending order was as follows: low HDL-C (31.9%), elevated TG (16.9%), elevated TC (9.0%), and elevated LDL-C (4.2%). The levels of TC, LDL-C, TC/HDL-C, and LDL-C/HDL-C in patients with peripheral arteriosclerosis were higher than those in patients with cardio-cerebrovascular arteriosclerosis. There were differences in serum lipid levels in patients with arteriosclerosis with different age, gender and distribution of arteriosclerotic vessels. Show less
📄 PDF DOI: 10.2147/IJGM.S483324
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Development and external validation of a prediction model for interstitial lung disease in systemic lupus erythematosus patients: A cross-sectional study.

Wang-Dong Xu, You-Yue Chen, Xiang Wang +2 more · 2024 · Seminars in arthritis and rheumatism · Elsevier · added 2026-04-24
The aim of this study is to develop and validate a nomogram that can assist clinicians in identifying female systemic lupus erythematosus (SLE) patients of reproductive age complicated with interstiti Show more
The aim of this study is to develop and validate a nomogram that can assist clinicians in identifying female systemic lupus erythematosus (SLE) patients of reproductive age complicated with interstitial lung disease (ILD). Clinical, laboratory data of SLE patients were first collected. Meteorological data were then gathered according to the geographical locations of the SLE patients. Diagnostic results, univariate logistic regression, elastic net regression, and multivariate logistic regression were used to screen for risk factors for female SLE patients of reproductive age complicated with ILD. A nomogram was constructed using these risk factors and was internally and externally validated through methods such as calculating the concordance index, plotting calibration curves, drawing receiver operating characteristic curves, and clinical decision curves. A total of 4798 SLE patients were included in this study, with 2488 patients in the development set and 2310 patients in the external validation set. The patients in the development set were randomly divided into a training set (N = 1742) and an internal testing set (N = 746) at a ratio of 7:3. Eight independent risk factors for ILD were identified, including APOB, APOA1, ALP, PLT, HCT, EOS-R, LYM-R, and age. The nomogram model was developed, and the areas under the receiver operating characteristic curve was 0.811 (0.748, 0.875), 0.820 (0.727,0.913), and 0.889 (0.869, 0.909) for the three sets, respectively. We established a nomogram model using easily accessible clinical and laboratory data to predict the probability of female SLE patients of reproductive age developing ILD. Show less
no PDF DOI: 10.1016/j.semarthrit.2024.152556
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Novel Insights into Causal Effects of Serum Lipids and Apolipoproteins on Cardiovascular Morpho-Functional Phenotypes.

Ankang Liu, Xiaohong Liu, Yuanhao Wei +6 more · 2024 · Cardiovascular toxicology · Springer · added 2026-04-24
Previous observational studies have explored the association between serum lipids, apolipoproteins, and adverse ventricular/aortic structure and function. However, whether a causal link exists is unce Show more
Previous observational studies have explored the association between serum lipids, apolipoproteins, and adverse ventricular/aortic structure and function. However, whether a causal link exists is uncertain. This study employed a two-sample Mendelian randomization (MR), colocalization, reverse, and multivariable MR (MVMR) approach to examine the causal associations among five serum lipids, two apolipoproteins, and 32 cardiac magnetic resonance (CMR) traits. Utilizing single-nucleotide polymorphisms (SNPs) linked to serum lipids and apolipoproteins as instrumental variables. CMR traits from seven independent genome-wide association studies served as preclinical endophenotypes, offering insights into aortic and cardiac structure/function. The primary analysis utilized a random-effects inverse variance method (IVW), followed by sensitivity and validation analyses. In the primary IVW MR analyses, genetically predicted low-density lipoprotein cholesterol (LDL-C) levels were positively correlated with increased descending aorta strain (DAo strain) (β = 0.098; P = 2.69E-07) and ascending aorta strain (AAo strain) (β = 0.079; P = 5.19E-05). Genetically predicted high-density lipoprotein cholesterol (HDL-C) levels were positively correlated with left ventricular radial peak diastolic strain rate (LV-PDSRll) (β = 0.176; P = 2.89E-05) and the left ventricular longitudinal peak diastolic strain rate (LV-PDSRrr) (β = 0.059; P = 2.44E-06), and negatively correlated with left ventricular regional wall thickness (LVRWT). While apolipoprotein B (ApoB) levels were positively correlated with AAo strain (β = 0.076; P = 1.16E-05), DAo strain (β = 0.065; P = 2.77E-05). A shared causal variant was identified to demonstrate the associations of ApoB with AAo strain and DAo strain using colocalization analysis. Sensitivity analyses confirmed the robustness of these associations. Targeting lipid and apolipoprotein levels through interventions may provide novel strategies for the primary prevention of CVDs. Show less
📄 PDF DOI: 10.1007/s12012-024-09930-w
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Diagnostic Value of Serum Apolipoprotein B100 Combined With Hippocampal Volume in Alzheimer's Disease.

DanDan Zhang, Jing Wu, Guoqiang Ren +5 more · 2024 · Brain and behavior · Wiley · added 2026-04-24
To explore the diagnostic value of serum apolipoprotein B100 (Apo B100) combined with hippocampal volume in Alzheimer's disease (AD). A total of 59 AD patients and 59 healthy subjects were selected. T Show more
To explore the diagnostic value of serum apolipoprotein B100 (Apo B100) combined with hippocampal volume in Alzheimer's disease (AD). A total of 59 AD patients and 59 healthy subjects were selected. The Mini-Mental State Examination (MMSE) was used for neuropsychological assessment. Blood glucose and serum lipid levels were detected by biochemical analyzer. Polymerase chain reaction (PCR) was used to detect apolipoprotein E (Apo E) ε3/ε4 genotypes in the plasma. Hippocampal volume was calculated using Slicer software. Independent-sample t test or Mann-Whitney U test were used to compare the levels of various indicators between the two groups. Spearman's correlation analysis was used to analyze the correlation between each level. The receiver operating characteristic curve (ROC) was plotted, and the area under the curve (AUC) was calculated to compare the diagnostic efficacy of individual and combined detection of serum Apo B100 levels and hippocampal volume in AD. Compared with the healthy control group, the levels of serum total cholesterol (TC), low-density lipoprotein (LDL), Apo B100, and plasma Apo E ε3/ε4 were higher in the AD group, and serum high-density lipoprotein (HDL) level was lower in the AD group (both p < 0.05). The hippocampal volume in the AD group was lower than in the control group (p < 0.01). The serum Apo B100 level was negatively correlated with MMSE score (r = -0.646), whereas hippocampal volume was positively correlated with MMSE score (r = 0.630). ROC curve analysis showed that the AUC of the combined serum Apo B100 level and hippocampal volume for AD was higher than that of either alone (AUC = 0.821, p < 0.01). Serum Apo B100 level is elevated, and the hippocampal volume is reduced in AD patients. The combined detection of the two has a higher diagnostic efficiency for AD than other alone and has the potential to become an important indicator for the diagnosis of AD in the future. Show less
📄 PDF DOI: 10.1002/brb3.70066
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Impact of rosuvastatin on metabolic syndrome patients with moderate to severe metabolic associated fatty liver disease without overt diabetes: A randomized clinical trial.

Xuan Wang, Lu Lyu, Wei Li +6 more · 2024 · Diabetes & metabolic syndrome · Elsevier · added 2026-04-24
This investigation aimed to evaluate the efficacy and safety of rosuvastatin in treating moderate to severe metabolic associated fatty liver disease (MAFLD). This prospective, open-label, randomized s Show more
This investigation aimed to evaluate the efficacy and safety of rosuvastatin in treating moderate to severe metabolic associated fatty liver disease (MAFLD). This prospective, open-label, randomized study included non-diabetic participants with metabolic syndrome and intrahepatocellular lipid (IHCL) levels >10 %, as determined by proton magnetic resonance spectroscopy ( Thirty-two participants completed the study. Rosuvastatin resulted in a significant absolute (△IHCL: 7.61 ± 4.51 vs. 1.54 ± 5.33, p = 0.002) and relative reduction in IHCL (△IHCL%: -42.28 ± 24.90 % vs. -8.91 ± 31.93 %, p = 0.003) compared to the control. Reduction in IHCL correlated significantly with decreases in low-density lipoprotein cholesterol (LDL-C) (r = 0.574, p < 0.01), apolipoprotein B (ApoB) (r = 0.660, p < 0.001), and free fatty acids (FFA) (r = 0.563, p = 0.005). No significant safety differences were observed between groups. Rosuvastatin significantly reduced hepatic steatosis in individuals with moderate to severe MAFLD and metabolic syndrome over 52 weeks, while maintaining a favorable safety profile. Show less
no PDF DOI: 10.1016/j.dsx.2024.103126
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Correlation Analysis of ApoB, ApoA1, and ApoB/ApoA1 with Cortical Morphology in Patients with Memory Complaints.

Jiayu Wang, Lisi Xu, Xuemei Chen +10 more · 2024 · Journal of Alzheimer's disease : JAD · added 2026-04-24
Apolipoproteins and cortical morphology are closely associated with memory complaints, and both may contribute to the development of Alzheimer's disease. To examine whether apolipoprotein B (ApoB), ap Show more
Apolipoproteins and cortical morphology are closely associated with memory complaints, and both may contribute to the development of Alzheimer's disease. To examine whether apolipoprotein B (ApoB), apolipoprotein A-1 (ApoA1), and their ratio (ApoB/ApoA1) are associated with cortical morphology in patients with memory complaints. Ninety-seven patients underwent neuropsychological testing, measurements of ApoB, ApoA1, ApoB/ApoA1, plasma Alzheimer's biomarker, apolipoprotein E (ApoE) genotyping, and 3T structural magnetic resonance imaging (sMRI) scans. Based on sMRI scanning locations, patients were categorized into the University of Electronic Science and Technology (UESTC) and the Fourth People's Hospital of Chengdu (FPHC). The Computational Anatomy Toolbox within Statistical Parametric Mapping was used to calculate each patient's cortical morphology index based on sMRI data. The cortical morphology index and apolipoproteins were also analyzed. Significant positive correlations were found between ApoB and sulcal depth in the lateral occipital cortex among the UESTC, the FPHC, and the total sample groups, and negative correlations were observed between sulcal depth in the lateral occipital cortex and the scores of the Shape Trails Test Part A and B. In the FPHC group, the scores of the Montreal Cognitive Assessment Basic, delayed recall of the Auditory Verbal Learning Test, Animal Fluency Test and Boston Naming Test were positively correlated with the sulcal depth. ApoB is associated with the sulcal depth in the lateral occipital cortex, potentially relating to speed/executive function in individuals with memory complaints. Show less
no PDF DOI: 10.3233/JAD-230863
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Proteomics profiling reveals lipid metabolism abnormalities during oogenesis in unexplained recurrent pregnancy loss.

Kun Liu, Xiaojuan Xu, Liang Sun +5 more · 2024 · Frontiers in immunology · Frontiers · added 2026-04-24
Unexplained recurrent pregnancy loss (URPL) is a clinical dilemma in reproductive fields. Its diagnosis is mainly exclusionary after extensive clinical examination, and some of the patients may still Show more
Unexplained recurrent pregnancy loss (URPL) is a clinical dilemma in reproductive fields. Its diagnosis is mainly exclusionary after extensive clinical examination, and some of the patients may still face the risk of miscarriage. We analyzed follicular fluid (FF) from Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEPs are involved in the biological processes (BP) of complement and coagulation cascades. Apolipoproteins (APOs) are key proteins in the PPI network. ELISA confirmed that APOB was low-expressed in both the FF and peripheral blood of URPL patients. Dysregulation of the immune network intersecting coagulation and inflammatory response is an essential feature of URPL, and this disequilibrium exists as early as the oogenesis stage. Therefore, earlier intervention is necessary to prevent the development of URPL. Moreover, aberrant lipoprotein regulation appears to be a key factor contributing to URPL. The mechanism by which these factors are involved in the complement and coagulation cascade pathways remains to be further investigated, which also provides new candidate targets for URPL treatment. Show less
📄 PDF DOI: 10.3389/fimmu.2024.1397633
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Platycodon D reduces obesity and non-alcoholic fatty liver disease induced by a high-fat diet through inhibiting intestinal fat absorption.

Xingkui Tang, Yi Yang, Wenxu Peng +5 more · 2024 · Frontiers in pharmacology · Frontiers · added 2026-04-24
Platycodin D (PD) has been reported to treat metabolic diseases, including non-alcoholic fatty liver disease. In addition, platycodin D has been reported to activate intestinal 5'AMP-activated protein Show more
Platycodin D (PD) has been reported to treat metabolic diseases, including non-alcoholic fatty liver disease. In addition, platycodin D has been reported to activate intestinal 5'AMP-activated protein kinase (AMPK) phosphorylation levels, thereby reducing lipid absorption. Therefore, the aim of this study is to explore whether PD activation of intestinal AMPK and reduced lipid absorption can improve non-alcoholic fatty liver disease. Clean-grade male C57/BL mice were fed a high-fat diet (HFD) (containing 60% calories) for 16 weeks, and oral PD (10 mg/kg/day) was administered at the same time. The liver and intestines were the collected, and the intestines were tested. The expressions of lipid absorption genes (CD36, NPC1L1, and ApoB), the serum total triglyceride (TG) and total cholesterol (TC) levels in the intestines and livers, the fecal free fatty acid (FFA) levels, and the expression of AMPK phosphorylated proteins in the intestines were examined using Western blot analyses. The lipid distribution in the livers, intestines, and fat was detected using Oil Red O and hematoxylin and eosin (H&E) staining. A colon cancer cell line (Caco2) was used to confirm the effect of PD on the cellular lipid uptake PD had a very significant therapeutic or preventive effect on metabolic syndrome and fatty liver induced by a high-fat diet. PD improved body weight, insulin sensitivity, and glucose tolerance in mice fed a high-fat diet and also prevented non-alcoholic fatty liver disease, reduced blood lipid levels, and increased fecal lipid excretion. In addition, PD reduced lipid absorption by activating the intestinal AMPK protein, which may have involved the inhibition of the gene expression levels of intestinal lipid absorption genes (CD36, NPC1L1, and ApoB). The combined effect of these factors improved hepatic lipid accumulation and lipid accumulation in adipose tissue. It was further found that PD also improved the body weights and blood lipid levels of leptin-deficient mice (OB) mice. PD had a very strong therapeutic effect on mice under a high-fat diet. PD reduced high-fat diet-induced obesity and non-alcoholic fatty liver disease by inhibiting intestinal fat absorption. Show less
📄 PDF DOI: 10.3389/fphar.2024.1412453
APOB

Correlation of Apo B/A1 ratio with hemodynamics and hearing impairment degree in elderly patients with sudden sensorineural hearing loss.

Xingcheng Li, Jing Xu · 2024 · Heliyon · Elsevier · added 2026-04-24
To investigate the correlation of apolipoprotein B/A1 (Apo B/A1) ratio with hemodynamics and degree of hearing impairment in elderly patients with sudden sensorineural hearing loss (SSNHL). A total of Show more
To investigate the correlation of apolipoprotein B/A1 (Apo B/A1) ratio with hemodynamics and degree of hearing impairment in elderly patients with sudden sensorineural hearing loss (SSNHL). A total of 82 elderly patients with SSNHL diagnosed and treated in our hospital from July 2019 to September 2022 were retrospectively selected as the research group. The patients were divided into the mild group (22 cases), the moderate group (45 cases), and the severe group (15 cases) according to the degree of hearing impairment. 82 elderly people who underwent physical examination in our hospital during the same period were selected as the control group. The ApoB/A1 ratio and hemodynamic [whole blood low-shear viscosity (LSV), whole blood high-shear viscosity (HSV) and plasma viscosity (PV)] were measured in the two groups. The correlation of ApoB/A1 ratio with hemodynamics and degree of hearing impairment was analyzed. The predictive value of ApoB/A1 ratio and hemodynamics for the severity of SSNHL in elderly patients was analyzed. Compared with the control group, the ApoB/A1 ratio, and the levels of LSV, HSV and PV were higher in the research group ( The contents of ApoB/A1, HSV, LSV and PV were significantly increased in elderly patients with SSNHL, and their levels are significantly related to the degree of hearing impairment. The combined detection has high value in evaluating the severity of the disease. Show less
📄 PDF DOI: 10.1016/j.heliyon.2024.e34100
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Extracellular vesicles loaded with ApoB-100 protein affect the occurrence of coronary heart disease in patients after injury of spinal cord.

Chunshuai Wu, Jiajia Chen, Jinlong Zhang +7 more · 2024 · International journal of biological macromolecules · Elsevier · added 2026-04-24
Spinal cord injury (SCI) patients have an increased susceptibility to coronary heart disease (CHD) due to dysregulated lipid deposition. We conducted a comprehensive investigation to gain insights int Show more
Spinal cord injury (SCI) patients have an increased susceptibility to coronary heart disease (CHD) due to dysregulated lipid deposition. We conducted a comprehensive investigation to gain insights into the specific roles of Apolipoprotein B-100 (APOB-100) in the development of CHD in patients suffering from SCI. First, we established an SCI rat model through semitransection. APOB-100 expression in plasma exosomes obtained from patients were determined. Subsequently, we found APOB-100 affected macrophage polarization when treating co-cultured neurons/macrophages lacking Sortilin with extracellular vesicles derived from SCI rats, where APOB-100 co-immunoprecipitated with Sortilin. Moreover, APOB-100 upregulation reduced neuronal cell viability and triggered apoptosis by upregulating Sortilin, leading to a decline in the Basso, Beattie, and Bresnahan (BBB) scale, exacerbation of neuron injury, increased macrophage infiltration, and elevated blood lipid-related indicators in SCI rats, which could be reversed by silencing Sortilin. In conclusion, APOB-100 from post-SCI patients' extracellular vesicles upregulates Sortilin, thereby endangering those patients to CHD. Show less
no PDF DOI: 10.1016/j.ijbiomac.2024.134330
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Association between maternal lipid profiles and lipid ratios in early to middle pregnancy as well as their dynamic changes and gestational diabetes mellitus.

Xingyan Xu, Suping Luo, Jie Lin +11 more · 2024 · BMC pregnancy and childbirth · BioMed Central · added 2026-04-24
Unfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between li Show more
Unfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between lipid profiles, lipid ratios and GDM during pregnancy. To prospectively investigate the relationship between lipid profile and lipid ratios in early and mid-pregnancy and their pattern of change from early to mid-pregnancy and the risk of GDM. This nested case-control study was based on maternal and child healthcare hospitals from Fujian Province, China. We included pregnant women who delivered in the hospital from January 2021 to June 2023. Lipid profiles (TC, TG, ApoA1, ApoB, HDL-c, LDL-c) and fasting glucose were measured before 14 weeks of gestation and between 20 and 28 weeks of gestation, and lipid ratios (triglyceride glucose index, TG/HDL-c and TC/HDL-c) was constructed. Logistic regression was used to assess the relationship between lipid profile, lipid ratios and GDM. Of 1586 pregnant women, 741 were diagnosed with GDM. After adjusting for potential confounders, TG, ApoA1, ApoB, LDL-c, triglyceride glucose index, TG/HDL-c, and TC/HDL-c in early pregnancy were positively associated with the risk of GDM (odds ratios [95% CI] for extreme interquartile comparisons were 2.040 (1.468-2.843), 1.506 (1.091-2.082), 1.529 (1.110-2.107), 1.504 (1.086-2.086), 1.952 (1.398-2.731), 2.127 (1.526-2.971), and 2.370 (1.700-3.312), all trend P < 0.05). HDL-c was negatively associated with the risk of GDM (0.639: 0.459-0.889, trend P all less than 0.05). Similarly, in mid-pregnancy, lower levels of HDL-c, higher levels of triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio were associated with increased risk of GDM (all trends P < 0.05). Stably high levels (both ≥ median for early and mid-pregnancy) of triglyceride glucose index, TG/HDL-c and TC/HDL-c were associated with increased risk of GDM (OR [95% CI]: 2.369 (1.438-3.940), 1.588 (1.077-2.341), 1.921 (1.309-2.829), respectively). The opposite was true for HDL-c, where stable high levels were negatively associated with GDM risk (OR [95% CI]: 0.599 (0.405-0.883)). Increases in triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio in early and mid-pregnancy, as well as their stable high levels from early to mid-pregnancy, are associated with a higher risk of GDM. In contrast, increased levels of HDL-c, both in early and mid-pregnancy, and their stable high levels from early to mid-pregnancy were associated with a lower risk of GDM. That highlighted their possible clinical relevance in identifying those at high risk of GDM. Show less
📄 PDF DOI: 10.1186/s12884-024-06692-9
APOB

Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use.

Fang Fang, Bryan Quach, Kaitlyn G Lawrence +21 more · 2024 · Molecular psychiatry · Nature · added 2026-04-24
Cannabis is widely used worldwide, yet its links to health outcomes are not fully understood. DNA methylation can serve as a mediator to link environmental exposures to health outcomes. We conducted a Show more
Cannabis is widely used worldwide, yet its links to health outcomes are not fully understood. DNA methylation can serve as a mediator to link environmental exposures to health outcomes. We conducted an epigenome-wide association study (EWAS) of peripheral blood-based DNA methylation and lifetime cannabis use (ever vs. never) in a meta-analysis including 9436 participants (7795 European and 1641 African ancestry) from seven cohorts. Accounting for effects of cigarette smoking, our trans-ancestry EWAS meta-analysis revealed four CpG sites significantly associated with lifetime cannabis use at a false discovery rate of 0.05 Show less
📄 PDF DOI: 10.1038/s41380-023-02310-w
APOBR

Causal Relationships between Lipid-Lowering Drug Target and Aortic Disease and Calcific Aortic Valve Stenosis: A Two-Sample Mendelian Randomization.

Liang Yang, Mingyuan Xu, Xixi Gao +6 more · 2024 · Reviews in cardiovascular medicine · added 2026-04-24
Proprotein convertase subtilisin/kexin type 9 ( We conducted drug-target Mendelian randomization employing summary-level statistics of low-density lipoprotein cholesterol (LDL-C) to proxy the loss-of- Show more
Proprotein convertase subtilisin/kexin type 9 ( We conducted drug-target Mendelian randomization employing summary-level statistics of low-density lipoprotein cholesterol (LDL-C) to proxy the loss-of-function of The genetically constructed variants mimicking lower LDL-C levels were associated with a decreased risk of coronary artery disease, validating their reliability. Notably, Our MR analysis reveals that genetic variants resembling statin administration are associated with a reduced risk of AAA, TAA, AD and CAVS. Show less
📄 PDF DOI: 10.31083/j.rcm2508292
APOC3

Proteomics Analysis of Renal Cell Line Caki-2 with AFMID Overexpression and Potential Biomarker Discovery in Urine.

Jiameng Sun, Jinchun Chang, Zhengguang Guo +4 more · 2024 · Journal of proteome research · ACS Publications · added 2026-04-24
Aromatic caninurine formamase (AFMID) is an enzyme involved in the tryptophan pathway, metabolizing N-formylkynurenine to kynurenine. AFMID had been found significantly downregulated in clear cell ren Show more
Aromatic caninurine formamase (AFMID) is an enzyme involved in the tryptophan pathway, metabolizing N-formylkynurenine to kynurenine. AFMID had been found significantly downregulated in clear cell renal cell carcinoma (ccRCC) in both tissue and urine samples. Although ccRCC is characterized by a typical Warburg-like phenotype, mitochondrial dysfunction, and elevated fat deposition, it is unknown whether AFMID plays a role in tumorigenesis and the development of ccRCC. In the present study, AFMID overexpression had inhibitory effects for ccRCC cells, decreasing the rate of cell proliferation. Quantitative proteomics showed that AFMID overexpression altered cellular signaling pathways involved in cell growth and cellular metabolism pathways, including lipid metabolism and inositol phosphate metabolism. Further urine proteomic analysis indicated that cellular function dysfunction with AFMID overexpression could be reflected in the urine. The activity of predicted upregulators DDX58, TREX1, TGFB1, SMARCA4, and TNF in ccRCC cells and urine showed opposing change trends. Potential urinary biomarkers were tentatively discovered and further validated using an independent cohort. The protein panel of APOC3, UMOD, and CILP achieved an AUC value of 0.862 for the training cohort and 0.883 for the validation cohort. The present study is of significance in terms of highlighting various aspects of pathway changes associated with AFMID enzymes, discovering potential specific biomarkers for potential patient diagnosis, and therapeutic targeting. Show less
no PDF DOI: 10.1021/acs.jproteome.4c00431
APOC3

Proteomic Analysis of Idiopathic Nephrotic Syndrome Triggered by Primary Podocytopathies in Adults: Regulatory Mechanisms and Diagnostic Implications.

Qiaoling Chen, Jiaming Xu, Lifang Liu +10 more · 2024 · Journal of proteome research · ACS Publications · added 2026-04-24
Idiopathic nephrotic syndrome (NS) is a heterogeneous group of glomerular disorders which includes two major phenotypes: minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS). MCD Show more
Idiopathic nephrotic syndrome (NS) is a heterogeneous group of glomerular disorders which includes two major phenotypes: minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS). MCD and FSGS are classic types of primary podocytopathies. We aimed to explore the molecular mechanisms in NS triggered by primary podocytopathies and evaluate diagnostic value of the selected proteomic signatures by analyzing blood proteome profiling. Totally, we recruited 90 participants in two cohorts. The first cohort was analyzed using label-free quantitative (LFQ) proteomics to discover differential expressed proteins and identify enriched biological process in NS which were further studied in relation to clinical markers of kidney injury. The second cohort was analyzed using parallel reaction monitoring-based quantitative proteomics to verify the data of LFQ proteomics and assess the diagnostic performance of the selected proteins using receiver-operating characteristic curve analysis. Several biological processes (such as immune response, cell adhesion, and response to hypoxia) were found to be associated with kidney injury during MCD and FSGS. Moreover, three proteins (CSF1, APOC3, and LDLR) had over 90% sensitivity and specificity in detecting adult NS triggered by primary podocytopathies. The identified biological processes may play a crucial role in MCD and FSGS pathogenesis. The three blood protein markers are promising for diagnosing adult NS triggered by primary podocytopathies. Show less
no PDF DOI: 10.1021/acs.jproteome.4c00074
APOC3

Plasma proteome profiling reveals dynamic of cholesterol marker after dual blocker therapy.

Jiacheng Lyu, Lin BAI, Yumiao Li +12 more · 2024 · Nature communications · Nature · added 2026-04-24
Dual blocker therapy (DBT) has the enhanced antitumor benefits than the monotherapy. Yet, few effective biomarkers are developed to monitor the therapy response. Herein, we investigate the DBT longitu Show more
Dual blocker therapy (DBT) has the enhanced antitumor benefits than the monotherapy. Yet, few effective biomarkers are developed to monitor the therapy response. Herein, we investigate the DBT longitudinal plasma proteome profiling including 113 longitudinal samples from 22 patients who received anti-PD1 and anti-CTLA4 DBT therapy. The results show the immune response and cholesterol metabolism are upregulated after the first DBT cycle. Notably, the cholesterol metabolism is activated in the disease non-progressive group (DNP) during the therapy. Correspondingly, the clinical indicator prealbumin (PA), free triiodothyronine (FT3) and triiodothyronine (T3) show significantly positive association with the cholesterol metabolism. Furthermore, by integrating proteome and radiology approach, we observe the high-density lipoprotein partial remodeling are activated in DNP group and identify a candidate biomarker APOC3 that can reflect DBT response. Above, we establish a machine learning model to predict the DBT response and the model performance is validated by an independent cohort with balanced accuracy is 0.96. Thus, the plasma proteome profiling strategy evaluates the alteration of cholesterol metabolism and identifies a panel of biomarkers in DBT. Show less
📄 PDF DOI: 10.1038/s41467-024-47835-y
APOC3

Exploration of the application potential of serum multi-biomarker model in colorectal cancer screening.

Runhao Xu, Jianan Shen, Yan Song +5 more · 2024 · Scientific reports · Nature · added 2026-04-24
Analyzing blood lipid and bile acid profile changes in colorectal cancer (CRC) patients. Evaluating the integrated model's diagnostic significance for CRC. Ninety-one individuals with colorectal cance Show more
Analyzing blood lipid and bile acid profile changes in colorectal cancer (CRC) patients. Evaluating the integrated model's diagnostic significance for CRC. Ninety-one individuals with colorectal cancer (CRC group) and 120 healthy volunteers (HC group) were selected for comparison. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and apolipoproteins (Apo) A1, ApoA2, ApoB, ApoC2, and ApoC3 were measured using immunoturbidimetric and colorimetric methods. Additionally, LC-MS/MS was employed to detect fifteen bile acids in the serum, along with six tumor markers: carcinoembryonic antigen (CEA), carbohydrate antigens (CA) 125, CA19-9, CA242, CA50, and CA72-4. Group comparisons utilized independent sample t-tests and Mann-Whitney U tests. A binary logistic regression algorithm was applied to fit the indicators and establish a screening model; the diagnostic accuracy of individual Indicators and the model was analyzed using receiver operating characteristic (ROC) curves. The CRC group showed significantly lower levels in eight serum lipid indicators and eleven bile acids compared to the HC group (P < 0.05). Conversely, serum levels of TG, CA19-9, and CEA were elevated (P < 0.05). Among the measured parameters, ApoA2 stands out for its strong correlation with the presence of CRC, showcasing exceptional screening efficacy with an area under the curve (AUC) of 0.957, a sensitivity of 85.71%, and a specificity of 93.33%. The screening model, integrating ApoA1, ApoA2, lithocholic acid (LCA), and CEA, attained an impressive AUC of 0.995, surpassing the diagnostic accuracy of individual lipids, bile acids, and tumor markers. CRC patients manifest noteworthy alterations in both blood lipids and bile acid profiles. A screening model incorporating ApoA1, ApoA2, LCA, and CEA provides valuable insights for detecting CRC. Show less
📄 PDF DOI: 10.1038/s41598-024-60867-0
APOC3