👤 Shude Xu

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Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Yanyong Xu, Shengjie Xu, Nong Xu, D-J Xu, Hongfa Xu, Shiyi Xu, Yunjian Xu, Maochang Xu, Lingyan Xu, Guoheng Xu, Zaibin Xu, Yuexuan Xu, Jinhe Xu, Yitong Xu, Miao Xu, Yaping Xu, Hongming Xu, Jiang Xu, Feng-Qin Xu, Zaihua Xu, Yaru Xu, Yuanzhong Xu, Qiuyu Xu, Mingcong Xu, Mai Xu, Biao Xu, Jingjun Xu, Shuwan Xu, Ya-Ru Xu, Zhilong Xu, Jun-Chao Xu, Shutao Xu, TianBo Xu, Jinyu Xu, Jie-Hua Xu, Peng Xu, Guo-Xing Xu, Yushan Xu, Yongsong Xu, Xin-Rong Xu, Bilin Xu, Xiang-Min Xu, Xiaolong Xu, Jinchao Xu, Han Xu, Xuting Xu, Yu Xu, Yingqianxi Xu, Yanyang Xu, Aili Xu, Weizhi Xu, Peidi Xu, Tongyang Xu, Tieshan Xu, Wen-Juan Xu, Jianping Xu, Bing Xu, Chengyun Xu, Xiaofeng Xu, Zhengang Xu, Guang-Hong Xu, Fangui Xu, Shan-Shan Xu, Song-Song Xu, Hailiang Xu, Quanzhong Xu, Mengqi Xu, Gezhi Xu, Dawei Xu, Linyan Xu, Yidan Xu, Meishu Xu, Tonghong Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Hanyuan Xu, Liang Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Jiancheng Xu, Boming Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Di-Mei Xu, Xiang-liang Xu, Yana Xu, Richard H Xu, Yanchang Xu, Danyi Xu, Chengqi Xu, Lingli Xu, Xiaocheng Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Xuan Xu, Hongle Xu, Jielin Xu, Yuping Xu, Limin Xu, Yinli Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Weilan Xu, Jingjing Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Shang-Fu Xu, Jiachi Xu, Yuejuan Xu, Zhi-Qing David Xu, Chao Xu, Yi-Xian Xu, Longfei Xu, Ziwei Xu, Mengyue Xu, Jingying Xu, Wenhui Xu, Zi-Xiang Xu, Caixia Xu, Chenjie Xu, Jiacheng Xu, Xiaoting Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Qingqiu Xu, Gangchun Xu, Yanjun Xu, Qiong Xu, Zifan Xu, Wenxuan Xu, Jiayunzhu Xu, Yifeng Xu, DongZhu Xu, Lingna Xu, Qianzhu Xu, Bocheng Xu, Qingjia Xu, Yanni Xu, Li-Yan Xu, Benhong Xu, Fang Xu, Xingsheng Xu, Geyang Xu, Anqi Xu, Zeao Xu, Mengsi Xu, Jun Xu, Qiuhong Xu, Ning'an Xu, Lian-Wei Xu, H F Xu, Hua Xu, Danping Xu, Shanshan Xu, Xiaofang Xu, Sheng-Qian Xu, Bingxin Xu, Ke Xu, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Changwu Xu, Beibei Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Jinshu Xu, Xinyu Xu, Laizhi Xu, Bi-Yun Xu, Meiyu Xu, Mingliang Xu, Weixia Xu, Bingfang Xu, Suling Xu, W W Xu, Lidan Xu, Chengkai Xu, Feng Xu, Yunhe Xu, Zesheng Xu, Li Xu, Song Xu, Yungen Xu, Yaobo Xu, Qinli Xu, Yi-Liang Xu, Dong Xu, Tan Xu, Ruiling Xu, Wanqi Xu, Ziyang Xu, Xiaohong Ruby Xu, Guangyu Xu, Xiao-Shan Xu, Wenxin Xu, Yongsheng Xu, Jingya Xu, Zhong-Hua Xu, Jiajie Xu, Dan Xu, Youjia Xu, Longsheng Xu, Mengjie Xu, Guo-Tong Xu, Ting Xu, Chunwei Xu, Tianmin Xu, Xianghong Xu, Nenggui Xu, Hongxia Xu, Meixi Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Shengyu Xu, Kelin Xu, Xiaoqin Xu, Zheng Xu, Junchang Xu, Jiaying Xu, Chunyu Xu, Beisi Xu, Zhen-Guo Xu, Haonan Xu, Tianyi Xu, Haiman Xu, Lili Xu, Yi Xu, Dongju Xu, Qihang Xu, Zhongwei Xu, Zihua Xu, Qikui Xu, Zhijie Xu, Li-Jun Xu, Qi-Qi Xu, Hanchen Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, D Xu, Ziqi Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Jianjuan Xu, Bin Xu, Zhanyu Xu, Lingjuan Xu, Wenjie Xu, Shuwen Xu, Cian Xu, Qiulin Xu, Yu-Ming Xu, Zeyu Xu, Jia Xu, Zengliang Xu, Yujie Xu, Yuting Xu, Jing-Yi Xu, Jiajia Xu, Xiqi Xu, Leiyu Xu, Shi-Na Xu, Ruonan Xu, Wenhuan Xu, Bai-Hui Xu, Jishu Xu, Xiangyu Xu, Lu-Lu Xu, Shiyun Xu, Huaxiang Xu, Lei Xu, Yuli Xu, Chan Xu, Tengfei Xu, Yong Xu, Xuejun Xu, Hang Xu, Junjie Xu, Jinjie Xu, Haoda Xu, Rui-Ming Xu, Yunxi Xu, Jinghua Xu, Ye Xu, Jiyi Xu, Mei-Jun Xu, Jianyong Xu, Yingzheng Xu, Kaiyue Xu, Yeqiu Xu, Songli Xu, Chenqi Xu, Cheng-Jian Xu, Qiaoshi Xu, Rongrong Xu, YanFeng Xu, Jin Xu, Huimian Xu, Zaikun Xu, Aixiao Xu, Yanfei Xu, Chunlin Xu, Huiqiong Xu, Dapeng Xu, Fengxia Xu, Yongmei Xu, Yubin Xu, Xiaojing Xu, Xiaoli Xu, Pu Xu, Wenming Xu, Wenjing Xu, Wenjuan Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Jiean Xu, Ming Xu, Keshu Xu, Weili Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Wen-Hao Xu, Hong-wei Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Yuzhi Xu, Fenghuang Xu, Tengxiao Xu, Zelin Xu, Xueni Xu, Jing-Ying Xu, Yichi Xu, Ruifeng Xu, Kewei Xu, Jiapeng Xu, Fang-Fang Xu, Sifan Xu, Pengli Xu, Jiaqin Xu, Xiaotao Xu, Chunming Xu, X Xu, Xinyin Xu, Gang Xu, Yuzhen Xu, Wei Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Yimeng Xu, Xiaoming Xu, Yuanyuan Xu, Shihao Xu, Zhipeng Xu, Minxuan Xu, Haowen Xu, Dilin Xu, Rui Xu, Jingzhou Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Mengjun Xu, Junfei Xu, Hui Ming Xu, Xiaolei Xu, Yanzhe Xu, Qin Xu, Zichuan Xu, Xinyun Xu, Xiaoge Xu, Tianyu Xu, Yigang Xu, Lanjin Xu, Hongyan Xu, Guowang Xu, Jingjie Xu, Yangyang Xu, Yi-Huan Xu, Guanhua Xu, Hongrong Xu, Fen Xu, Jian Xu, Pin-Xian Xu, Tiantian Xu, Zhonghui Xu, Changfu Xu, Dong-Hui Xu, Yi-Ni Xu, Jialu Xu, Yuzhong Xu, Hongli Xu, Mingyuan Xu, Minghao Xu, Qinghua Xu, C F Xu, Yiting Xu, Jiahong Xu, Qian Xu, Haixiang Xu, Xizheng Xu, Kun Xu, Yunfei Xu, Xiaoyang Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Lingyi Xu, Jinguo Xu, Guiyun Xu, Chunjie Xu, Wenbin Xu, Manman Xu, Cheng-Bin Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Mengmeng Xu, Yu-Xin Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Waner Xu, Shiliyang Xu, Zhiyao Xu, Gu-Feng Xu, Wenyuan Xu, J T Xu, Haifeng Xu, Ling Xu, Chaohua Xu, Lisha Xu, Xiayun Xu, Huaisha Xu, Qian-Fei Xu, Jinying Xu, Tengyun Xu, Chaoguang Xu, Fuyi Xu, Shihui Xu, Yingna Xu, Aishi Xu, Yanyan Xu, Bilian Xu, Qiuhui Xu, Jinsheng Xu, Qinwen Xu, Tianfeng Xu, Liyi Xu, Lihui Xu, Guanyi Xu, Wenyan Xu, Ru-xiang Xu, Zongzhen Xu, Nan Xu, Zhiting Xu, Rui-Xia Xu, Jinxian Xu, Jiaming Xu, Shan-Rong Xu, Yi-Tong Xu, Xiaojuan Xu, Guifa Xu, Xia-Jing Xu, Libin Xu, Dequan Xu, Guoxu Xu, Cai Xu, Hong Xu, Lubin Xu, Mengying Xu, Tian-Le Xu, J Xu, Weidong Xu, Chengbi Xu, Cong-jian Xu, Yibin Xu, Qianlan Xu, Tingting Xu, Caiqiu Xu, Hong-Yan Xu, Hanqian Xu, Xiao Le Xu, Bei Xu, Guanlan Xu, Jianxin Xu, Ming-Zhu Xu, Long Xu, Xiaopeng Xu, Yinjie Xu, Shufen Xu, Zhihua Xu, Ming-Jiang Xu, Di Xu, Qingwen Xu, Jiake Xu, Tingxuan Xu, Ping Xu, Peng-Ju Xu, Shang-Rong Xu, Li-Zhi Xu, Baoping Xu, Huan Xu, Wenwu Xu, Zhenyu Xu, Chong Xu, Sihua Xu, Anlong Xu, Lu Xu, Chen-Yang Xu, Xiaoyu Xu, Zhe Xu, Qiuyue Xu, Guangquan Xu, Peiyu Xu, Huihui Xu, Ding Xu, Yuchen Xu, Jianguo Xu, Xuegong Xu, Lingyang Xu, Jia-Yue Xu, Liping Xu, Yiyi Xu, Yuling Xu, Jianqiu Xu, Lichi Xu, Xiaojiang Xu, Xiao-Hui Xu, Yuyang Xu, Zhaofa Xu, Mao Xu, Qingchan Xu, Yanli Xu, Julie Xu, Minglan Xu, G Xu, Miaomiao Xu, Yao Xu, Yali Xu, Yanqi Xu, Tian Xu, Xiaojin Xu, Xiaowen Xu, Lingxiang Xu, Qing-Yang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Xingshun Xu, Fangmin Xu, Wenzhuo Xu, Fu Xu, Haimin Xu, Shengtao Xu, Jiahui Xu, Zhiwei Xu, Peiwei Xu, Daichao Xu, Wen-Hui Xu, Xingyan Xu, H Eric Xu, Zhi-Feng Xu, Mingming Xu, Hongtao Xu, Daiqi Xu, Keman Xu, Yinying Xu, Yuexin Xu, Yuanwei Xu, Xuanqi Xu, L Xu, Jinfeng Xu, Chunyan Xu, Hanting Xu, Chaoyu Xu, Shendong Xu, Tiancheng Xu, Chentong Xu, Guangsen Xu, Yaozeng Xu, Banglao Xu, Tao Xu, Danyan Xu, Ren-He Xu, Haiyan Xu, Jian-Guang Xu, Yu-Fen Xu, Youzhi Xu, Hui Xu, Enwei Xu, F F Xu, Ningda Xu, Zejun Xu, Li-Wei Xu, N Y Xu, Xiaoya Xu, Ren Xu, Ze-Jun Xu, Yanan Xu, Jiapei Xu, Peigang Xu, Tianxiang Xu, Haiqi Xu, Qing-Wen Xu, Junnv Xu, Tian-Rui Xu, Wanfu Xu, Wang-Hong Xu, Maotian Xu, Suoyu Xu, Mingli Xu, Liwen Xu, Qingqing Xu, Zhenming Xu, Jingyi Xu, Yihua Xu, Dong-Juan Xu, Mu Xu, Meifeng Xu, Li-Ling Xu, Dongmei Xu, Jianliang Xu, Pengfei Xu, Xinjie Xu, Changlin Xu, Shuai Xu, Yingli Xu, Fang-Yuan Xu, Ying Xu, Guo-Liang Xu, Zhiqiang Xu, Xirui Xu, Haiying Xu, Wen Xu, Xiaoyin Xu, Wenwen Xu, Mengping Xu, Jing-Yu Xu, Chunlan Xu, Danfeng Xu, Yuan Xu, Wenchun Xu, Zekuan Xu, Nuo Xu, Shuxiang Xu, Min Jie Xu, Zixuan Xu, Bingqi Xu, Penghui Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Qingyuan Xu, Zhaojun Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yayun Xu, Yingju Xu, Guang-Qing Xu, Kaixiang Xu, Lingling Xu, Jiyu Xu, Anton Xu, Jason Xu, Donghang Xu, Xiaowu Xu, Fengzhe Xu, Xia Xu, Xiangshan Xu, Wan-Ting Xu, Fengyan Xu, Qingheng Xu, Changlu Xu, Huaiyuan Xu, Jinsong Xu, Dongchen Xu, Rang Xu, Peng-Yuan Xu, Weihong Xu, Jinyuan Xu, Wanxue Xu, Xinyi Xu, Jie Xu, Junfeng Xu, Danning Xu, Haiming Xu, Sutong Xu, Shan Xu, Meng Xu, Yueyue Xu, Jixuan Xu, Hongjian Xu, Zhidong Xu, Jinjin Xu, Xiaobo Xu, Hongmei Xu, Shu-Xian Xu, Chuang Xu, Shuaili Xu, Yun Xu, Zhixian Xu, Yue Xu, George X Xu, Man Xu, Jiaai Xu, Zeqing Xu, Baijie Xu, Zheng-Fan Xu, Bojie Xu, Mengru Xu, H Y Xu, Yinhe Xu, Linna Xu, Liqun Xu, Zhi-Zhen Xu, Xiaohui Xu, Yinxia Xu, Xingmeng Xu, Pan Xu, Pengjie Xu, Kexin Xu, Kai Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Hongjiang Xu, Shuiyang Xu, Kaihao Xu, Suo-Wen Xu, Heng Xu, Zebang Xu, Hongbo Xu, Chenhao Xu, Fanghua Xu, Yaowen Xu, Jing Xu, Qianqian Xu, Andrew Z Xu, Flora Mengyang Xu, Yuanzhi Xu, Leilei Xu, Leyuan Xu, M-Y Xu, Hongzhi Xu, Zongren Xu, Xinyue Xu, Qingxia Xu, Xiao-Hua Xu, Cineng Xu, Nannan Xu, Guoshuai Xu, Mingzhu Xu, X S Xu, Guang Xu, Song-Hui Xu, Zhiyang Xu, Wang-Dong Xu, De-Xiang Xu, Yi Ran Xu, Shengen Xu, Jianzhong Xu, F Xu, Dexiang Xu, Rui-Hua Xu, Tongxin Xu, Wanting Xu, Bingqian Xu, Yang Xu, Jiaqian Xu, Yu-Ping Xu, Zhanqiong Xu, Haixia Xu, Hao Xu, HuiTing Xu, Hanfei Xu, Shu-Zhen Xu, Zhong Xu, Xun Xu, Xiaolu Xu, S Xu, Ning Xu, Guangyan Xu, Chengye Xu, Xizhan Xu, Ya-Peng Xu, Jianming Xu, Wenhao Xu, Minghong Xu, Mingqian Xu, Yaqin Xu, Chang-Qing Xu, Weiyong Xu, Huixuan Xu, Jialin Xu, Z Xu, Fei Xu, Pao Xu, Youping Xu, Keke Xu, Feilai Xu, Shunjiang Xu, Jia-Li Xu, Yucheng Xu, Qi Xu, Jinhua Xu, Chunli Xu, Zhiliang Xu, Jinxin Xu, Lifen Xu, Bingqing Xu, Lianjun Xu, Weihai Xu, Wenqi Xu, Zheng-Hong Xu, Lin Xu, Zuojun Xu, Yanquan Xu, Yanwu Xu, Hui-Lian Xu, Mingjie Xu, Cong Xu, Maodou Xu, Dongjun Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Yinglin Xu, Haoyu Xu, Wenqing Xu, Jiali Xu, Xiaoke Xu, Changliu Xu, Feng-Xia Xu, Carrie Xu, Yuheng Xu, Shimeng Xu, Wanwan Xu, Weiming Xu, Gui-Ping Xu, Zhenzhou Xu, Yangbin Xu, Aohong Xu, Wenlong Xu, Jia-Xin Xu, Luyi Xu, Changde Xu, Manyi Xu, De Xu, Xinxuan Xu, Gaosi Xu, Baofeng Xu, Chang Xu, Wanhai Xu, Qing Xu, Zuyuan Xu, Pingwen Xu, Feng-Yuan Xu, Aoling Xu, Erping Xu, Shaoqi Xu, Zhicheng Xu, Lun-Shan Xu, Jianing Xu, Shiyao Sherrie Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Iris M J Xu, Zhi Xu, Xiaomeng Xu, Mengyi Xu, Meifang Xu, Houxi Xu, Yuanfeng Xu, Shuqia Xu, Da-Peng Xu, Hong-tao Xu, Yaling Xu, Mei Xu, Xiaojiao Xu, Zhiru Xu, Weide Xu, Dandan Xu, W Xu, Shun Xu, Jianhua Xu, Tongda Xu, Lijun Xu, Cynthia M Xu, Yechun Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Ruohong Xu, Jiawei Xu, Yuhan Xu, Shanqi Xu, Shoujia Xu, T Xu, Weifeng Xu, Qiuyun Xu, Hu Xu, Yanming Xu, Hongwei Xu, Ziyu Xu, Kaishou Xu, Jian Hua Xu, Xin Xu, Liu Xu, Zetan Xu, Yong-Nan Xu, Leiting Xu, Zhizhen Xu, Houguo Xu, Ya-lin Xu, Xiang Xu, Suowen Xu, Xuejin Xu, Yiming Xu, Genxing Xu, Yun-Teng Xu, Yanling Xu, Yuanhong Xu, Lijuan Xu, Xingzhi Xu, Guanghao Xu, Qiu-Han Xu, Siqun Xu, Wen-Xiong Xu, Qianghua Xu, Shuangbing Xu, Wenjun Xu, Jiangang Xu, Yangliu Xu, Jinjian Xu, W M Xu, Shanqiang Xu, Zefeng Xu
articles
Jiwei Jiang, Yaou Liu, Anxin Wang +11 more · 2024 · Chinese medical journal · added 2026-04-24
Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer's disease (AD). This study aimed to develop and validate a novel genet Show more
Few evidence is available in the early prediction models of behavioral and psychological symptoms of dementia (BPSD) in Alzheimer's disease (AD). This study aimed to develop and validate a novel genetic-clinical-radiological nomogram for evaluating BPSD in patients with AD and explore its underlying nutritional mechanism. This retrospective study included 165 patients with AD from the Chinese Imaging, Biomarkers, and Lifestyle (CIBL) cohort between June 1, 2021, and March 31, 2022. Data on demographics, neuropsychological assessments, single-nucleotide polymorphisms of AD risk genes, and regional brain volumes were collected. A multivariate logistic regression model identified BPSD-associated factors, for subsequently constructing a diagnostic nomogram. This nomogram was internally validated through 1000-bootstrap resampling and externally validated using a time-series split based on the CIBL cohort data between June 1, 2022, and February 1, 2023. Area under receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess the discrimination, calibration, and clinical applicability of the nomogram. Factors independently associated with BPSD were: CETP rs1800775 (odds ratio [OR] = 4.137, 95% confidence interval [CI]: 1.276-13.415, P  = 0.018), decreased Mini Nutritional Assessment score (OR = 0.187, 95% CI: 0.086-0.405, P  <0.001), increased caregiver burden inventory score (OR = 8.993, 95% CI: 3.830-21.119, P  <0.001), and decreased brain stem volume (OR = 0.006, 95% CI: 0.001-0.191, P  = 0.004). These variables were incorporated into the nomogram. The area under the ROC curve was 0.925 (95% CI: 0.884-0.967, P  <0.001) in the internal validation and 0.791 (95% CI: 0.686-0.895, P  <0.001) in the external validation. The calibration plots showed favorable consistency between the prediction of nomogram and actual observations, and the DCA showed that the model was clinically useful in both validations. A novel nomogram was established and validated based on lipid metabolism-related genes, nutritional status, and brain stem volumes, which may allow patients with AD to benefit from early triage and more intensive monitoring of BPSD. Chictr.org.cn , ChiCTR2100049131. Show less
📄 PDF DOI: 10.1097/CM9.0000000000002914
CETP
Xin Zhang, Ke Xu, Jie Shi +5 more · 2024 · Molecular vision · added 2026-04-24
The neuronal ceroid lipofuscinoses (NCLs) comprise a group of inherited neurodegenerative disorders with thirteen NCL-disease causing genes ceroid lipofuscinosis neuronal ( We recruited 14 patients fr Show more
The neuronal ceroid lipofuscinoses (NCLs) comprise a group of inherited neurodegenerative disorders with thirteen NCL-disease causing genes ceroid lipofuscinosis neuronal ( We recruited 14 patients from 13 unrelated families who carried biallelic variants in the We detected 21 variants in three Patients with variants in the three Show less
CLN3
Xiangyu Xu, Bingbing Zhang, Jin Zhang +1 more · 2024 · Future science OA · Taylor & Francis · added 2026-04-24
To construct and identify a prognostic and therapeutic signature based on disulfidptosis-related genes in lung adenocarcinoma. Bioinformatic analysis was performed to assess the differential expressio Show more
To construct and identify a prognostic and therapeutic signature based on disulfidptosis-related genes in lung adenocarcinoma. Bioinformatic analysis was performed to assess the differential expression of disulfidptosis-related genes between cancerous and control samples from The Cancer Genome Atlas-Lung Adenocarcinoma (TCGA-LUAD) database. Survival analysis, immune cell infiltration assessment, and examination of oncogenic pathways were performed to uncover potential clinical implications of disulfidptosis gene expression. Differential gene expression analysis between subtypes facilitated the development of a prognostic model using a combination of genes associated with survival. A nomogram was further created using independent clinical and molecular factors. We identified the significant upregulation of ten disulfidptosis-related genes and delineated two distinct subtypes, C1 and C2. Subtype C2 was associated with prolonged survival. Then, prognostic modeling utilizing six genes (TXNRD1, CPS1, S100P, SCGB3A1, CYP24A1, NAPSA) demonstrated predictive power in both training and validation datasets. The nomogram, incorporating the risk model with clinical features, provided a reliable tool for predicting one-year (AUC 0.77), three-year (AUC 0.75), and five-year (AUC 0.78) survival rates. Additionally, chemotherapy sensitivity analysis highlighted significant resistance in the high-risk group, primarily associated with subtype C1. Our study reveals distinct LUAD subtypes, offers a robust prognostic model, and underscores clinical implications for personalized therapy based on disulfidptosis-related genes expression profiles. Show less
📄 PDF DOI: 10.1080/20565623.2024.2432211
CPS1
Weizheng Liang, Xiangyu Yang, Xiushen Li +6 more · 2024 · Aging · Impact Journals · added 2026-04-24
Colon adenocarcinoma (COAD), a frequently encountered and highly lethal malignancy of the digestive system, has been the focus of intensive research regarding its prognosis. The intricate immune micro Show more
Colon adenocarcinoma (COAD), a frequently encountered and highly lethal malignancy of the digestive system, has been the focus of intensive research regarding its prognosis. The intricate immune microenvironment plays a pivotal role in the pathological progression of COAD; nevertheless, the underlying molecular mechanisms remain incompletely understood. This study aims to explore the immune gene expression patterns in COAD, construct a robust prognostic model, and delve into the molecular mechanisms and potential therapeutic targets for COAD liver metastasis, thereby providing critical support for individualized treatment strategies and prognostic evaluation. Initially, we curated a comprehensive dataset by screening 2600 immune-related genes (IRGs) from the ImmPort and InnateDB databases, successfully obtaining a rich data resource. Subsequently, the COAD patient cohort was classified using the non-negative matrix factorization (NMF) algorithm, enabling accurate categorization. Continuing on, utilizing the weighted gene co-expression network analysis (WGCNA) method, we analyzed the top 5000 genes with the smallest p-values among the differentially expressed genes (DEGs) between immune subtypes. Through this rigorous screening process, we identified the gene modules with the strongest correlation to the COAD subpopulation, and the intersection of genes in these modules with DEGs (COAD vs COAD vs Normal colon tissue) is referred to as Differentially Expressed Immune Genes Associated with COAD (DEIGRC). Employing diverse bioinformatics methodologies, we successfully developed a prognostic model (DPM) consisting of six genes derived from the DEIGRC, which was further validated across multiple independent datasets. Not only does this predictive model accurately forecast the prognosis of COAD patients, but it also provides valuable insights for formulating personalized treatment regimens. Within the constructed DPM, we observed a downregulation of CALB2 expression levels in COAD tissues, whereas NOXA1, KDF1, LARS2, GSR, and TIMP1 exhibited upregulated expression levels. These genes likely play indispensable roles in the initiation and progression of COAD and thus represent potential therapeutic targets for patient management. Furthermore, our investigation into the molecular mechanisms and therapeutic targets for COAD liver metastasis revealed associations with relevant processes such as fat digestion and absorption, cancer gene protein polysaccharides, and nitrogen metabolism. Consequently, genes including CAV1, ANXA1, CPS1, EDNRA, and GC emerge as promising candidates as therapeutic targets for COAD liver metastasis, thereby providing crucial insights for future clinical practices and drug development. In summary, this study uncovers the immune gene expression patterns in COAD, establishes a robust prognostic model, and elucidates the molecular mechanisms and potential therapeutic targets for COAD liver metastasis, thereby possessing significant theoretical and clinical implications. These findings are anticipated to offer substantial support for both the treatment and prognosis management of COAD patients. Show less
📄 PDF DOI: 10.18632/aging.205763
CPS1
Xiujuan Li, Man Xu, Ke Zhou +5 more · 2024 · Frontiers in plant science · Frontiers · added 2026-04-24
Among the bioactive compounds, lipid-soluble tanshinone is present in
📄 PDF DOI: 10.3389/fpls.2024.1356922
CPS1
Jiahui Li, Chaoqun Xu, Suyun Yuan · 2024 · Cost effectiveness and resource allocation : C/E · BioMed Central · added 2026-04-24
Combined serplulimab and chemotherapy demonstrated improved clinical survival outcomes in patients with advanced esophageal squamous cell carcinoma (ESCC) and PD-L1 combined positive scores (CPS) ≥ 1. Show more
Combined serplulimab and chemotherapy demonstrated improved clinical survival outcomes in patients with advanced esophageal squamous cell carcinoma (ESCC) and PD-L1 combined positive scores (CPS) ≥ 1. The present study aimed to evaluate the economic viability of integrating serplulimab in combination with chemotherapy as a potential therapeutic approach for treating ESCC in China. A Markov model was constructed to evaluate the economic and health-related implications of combining serplulimab with chemotherapy. With the incremental cost-effectiveness ratio (ICER), costs and results in terms of health were estimated. For assessing parameter uncertainty, one-way and probabilistic sensitivity studies were carried out. The combination of serplulimab and chemotherapy yielded incremental costs and QALYs of $3,163 and 0.14, $2,418 and 0.10, and $3,849 and 0.15, respectively, for the overall population as well as patients with PD-L1 CPS1-10 and PD-L1 CPS ≥ 10. This corresponds to ICER values per QALY of $23,657, $23,982, and $25,134. At the prespecified WTP limit, the probabilities of serplulimab with chemotherapy being the preferred intervention option were 74.4%, 61.3%, and 78.1% for the entire patient population, those with PD-L1 1 ≤ CPS < 10, and those with PD-L1 CPS ≥ 10, respectively. The stability of the presented model was confirmed through sensitivity studies. In conclusion, the combination of Serplulimab and chemotherapy showed excellent cost-effectiveness compared to chemotherapy alone in treating PD-L1-positive patients with ESCC in China. Show less
📄 PDF DOI: 10.1186/s12962-024-00516-5
CPS1
Wenwu Xu, Zhenzhen Wang, Zeng Tao +2 more · 2024 · Animal biotechnology · Taylor & Francis · added 2026-04-24
Blood composition is indicative of health-related traits such as immunity and metabolism. The use of molecular genetics to investigate alterations in these attributes in laying ducks is a novel approa Show more
Blood composition is indicative of health-related traits such as immunity and metabolism. The use of molecular genetics to investigate alterations in these attributes in laying ducks is a novel approach. Our objective was to employ genome - wide association studies (GWAS) and haplotype - sharing analysis to identify genomic regions and potential genes associated with 11 blood components in Shaoxing ducks. Our findings revealed 35 SNPs and 1 SNP associated with low-density lipoprotein cholesterol (LDL) and globulin (GLB), respectively. We identified 36 putative candidate genes for the LDL trait in close proximity to major QTLs and key loci. Based on their biochemical and physiological properties, Show less
📄 PDF DOI: 10.1080/10495398.2024.2390940
DHX36
Hao Li, Zebei Han, Yu Sun +11 more · 2024 · Nature communications · Nature · added 2026-04-24
Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent ad Show more
Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent advances of model-agnostic interpretation approach and develop CGMega, an explainable and graph attention-based deep learning framework to perform cancer gene module dissection. CGMega outperforms current approaches in cancer gene prediction, and it provides a promising approach to integrate multi-omics information. We apply CGMega to breast cancer cell line and acute myeloid leukemia (AML) patients, and we uncover the high-order gene module formed by ErbB family and tumor factors NRG1, PPM1A and DLG2. We identify 396 candidate AML genes, and observe the enrichment of either known AML genes or candidate AML genes in a single gene module. We also identify patient-specific AML genes and associated gene modules. Together, these results indicate that CGMega can be used to dissect cancer gene modules, and provide high-order mechanistic insights into cancer development and heterogeneity. Show less
📄 PDF DOI: 10.1038/s41467-024-50426-6
DLG2
Haoran Li, Jianjun Zhu, Xinglei Liu +9 more · 2024 · Glia · Wiley · added 2026-04-24
Tumor-associated astrocytes (TAAs) in the glioblastoma microenvironment play an important role in tumor development and malignant progression initiated by glioma stem cells (GSCs). In the current stud Show more
Tumor-associated astrocytes (TAAs) in the glioblastoma microenvironment play an important role in tumor development and malignant progression initiated by glioma stem cells (GSCs). In the current study, normal human astrocytes (NHAs) were cultured and continuously treated with GSC-derived exosomes (GSC-EXOs) induction to explore the mechanism by which GSCs affect astrocyte remodeling. This study revealed that GSC-EXOs can induce the transformation of NHAs into TAAs, with relatively swollen cell bodies and multiple extended processes. In addition, high proliferation, elevated resistance to temozolomide (TMZ), and increased expression of TAA-related markers (TGF-β, CD44, and tenascin-C) were observed in the TAAs. Furthermore, GSC-derived exosomal miR-3065-5p could be delivered to NHAs, and miR-3065-5p levels increased significantly in TAAs, as verified by miRNA expression profile sequencing and Reverse transcription polymerase chain reaction. Overexpression of miR-3065-5p also enhanced NHA proliferation, elevated resistance to TMZ, and increased the expression levels of TAA-related markers. In addition, both GSC-EXO-induced and miR-3065-5p-overexpressing NHAs promoted tumorigenesis of GSCs in vivo. Discs Large Homolog 2 (DLG2, downregulated in glioblastoma) is a direct downstream target of miR-3065-5p in TAAs, and DLG2 overexpression could partially reverse the transformation of NHAs into TAAs. Collectively, these data demonstrate that GSC-EXOs induce the transformation of NHAs into TAAs via the miR-3065-5p/DLG2 signaling axis and that TAAs can further promote the tumorigenesis of GSCs. Thus, precisely blocking the interactions between astrocytes and GSCs via exosomes may be a novel strategy to inhibit glioblastoma development, but more in-depth mechanistic studies are still needed. Show less
no PDF DOI: 10.1002/glia.24506
DLG2
Lichi Xu, Afang Zhu, Shuxiang Xu +4 more · 2024 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Approximately 50% of patients with chronic neuropathic pain experience cognitive impairment, which negatively impacts their quality of life. The cannabinoid type 2 receptor (CB2R) may be involved in h Show more
Approximately 50% of patients with chronic neuropathic pain experience cognitive impairment, which negatively impacts their quality of life. The cannabinoid type 2 receptor (CB2R) may be involved in hippocampal cognitive processes. However, its role in chronic neuropathic pain-induced cognitive impairment remains elusive. Spared nerve injury (SNI) was used to induce chronic neuropathic pain in rats, while the novel-object recognition test and the Y-maze test were employed to assess cognitive function. Immunofluorescence, western blotting, and stereotaxic hippocampal microinjection were utilized to elucidate the potential mechanisms. We observed a reduction in mechanical pain threshold and cognitive impairment in SNI rats. This was accompanied by a tendency for hippocampal microglia to adopt pro-inflammatory functions. Notably, no changes were detected in CB2R expression. However, downregulation of the endogenous ligands AEA and 2-AG was evident. Hippocampal microinjection of a CB2R agonist mitigated cognitive impairment in SNI rats, which correlated with a tendency for microglia to adopt anti-inflammatory functions. Additionally, SNI-induced activation of the p-ERK/NFκB pathway in the hippocampus. Activation of CB2R reversed this process by upregulating DUSP6 expression in microglia. The effects elicited by CB2R activation could be inhibited through the downregulation of microglial DUSP6 via hippocampal adeno-associated virus (AAV) microinjection. Conversely, overexpression of hippocampal DUSP6 using AAV ameliorated the cognitive deficits observed in SNI rats, which remained unaffected by the administration of a CB2R antagonist. Our findings demonstrate that activation of hippocampal CB2R can mitigate chronic neuropathic pain-induced cognitive impairment through the modulation of the DUSP6/ERK/NFκB pathway. Show less
no PDF DOI: 10.1096/fj.202401481R
DUSP6
Nan Xu, Feng-Ting Dao, Zong-Yan Shi +2 more · 2024 · British journal of haematology · Blackwell Publishing · added 2026-04-24
Wilms' tumour 1 (WT1) can function as an oncogene or a tumour suppressor. Our previous clinical cohort studies showed that low WT1 expression at diagnosis independently predicted poor outcomes in acut Show more
Wilms' tumour 1 (WT1) can function as an oncogene or a tumour suppressor. Our previous clinical cohort studies showed that low WT1 expression at diagnosis independently predicted poor outcomes in acute myeloid leukaemia (AML) with RUNX1::RUNX1T1, whereas it had an opposite role in AML with non-favourable cytogenetic risk (RUNX1::RUNX1T1-deficient). The molecular mechanism by which RUNX1::RUNX1T1 affects the prognostic significance of WT1 in AML remains unknown. In the present study, first we validated the prognostic significance of WT1 expression in AML. Then by using the established transfected cell lines and xenograft tumour model, we found that WT1 suppresses proliferation and enhances effect of cytarabine in RUNX1::RUNX1T1(+) AML but has opposite functions in AML cells without RUNX1::RUNX1T1. Furthermore, as a transcription factor, WT1 physically interacts with RUNX1::RUNX1T1 and acts as a co-factor together with RUNX1::RUNX1T1 to activate the expression of its target gene DUSP6 to dampen extracellular signal-regulated kinase (ERK) activity. When RUNX1::RUNX1T1-deficient, WT1 can activate the mitogen-activated extracellular signal-regulated kinase/ERK axis but not through targeting DUSP6. These results provide a mechanism by which WT1 together with RUNX1::RUNX1T1 suppresses cell proliferation through WT1/DUSP6/ERK axis in AML. The current study provides an explanation for the controversial prognostic significance of WT1 expression in AML patients. Show less
no PDF DOI: 10.1111/bjh.19721
DUSP6
Mizhu Sun, Qingmeng Zheng, Lulu Wang +7 more · 2024 · Molecular neurobiology · Springer · added 2026-04-24
Binge alcohol drinking during adolescence has long-term effects on the adult brain that alter brain structure and behaviors, but the underlying mechanisms remain poorly understood. Extracellular signa Show more
Binge alcohol drinking during adolescence has long-term effects on the adult brain that alter brain structure and behaviors, but the underlying mechanisms remain poorly understood. Extracellular signal-regulated kinase (ERK) is involved in the synaptic plasticity and pathological brain injury by regulating the expression of cyclic adenosine monophosphate response element binding protein (CREB) and brain-derived neurotrophic factor (BDNF). Dual-specificity phosphatase 6 (DUSP6) is a critical effector that dephosphorylates ERK1/2 to control the basal tone, amplitude, and duration of ERK signaling. To explore DUSP6 as a regulator of ERK signaling in the mPFC and its impact on long-term effects of alcohol, a male mouse model of adolescent intermittent alcohol (AIA) exposure was established. Behavioral experiments showed that AIA did not affect anxiety-like behavior or sociability in adulthood, but significantly damaged new object recognition and social recognition memory. Molecular studies further found that AIA reduced the levels of pERK-pCREB-BDNF-PSD95/NR2A involved in synaptic plasticity, while DUSP6 was significantly increased. Intra-mPFC infusion of AAV-DUSP6-shRNA restored the dendritic spine density and postsynaptic density thickness by reversing the level of p-ERK and its downstream molecular expression, and ultimately repaired adult cognitive impairment caused by chronic alcohol exposure during adolescence. These findings indicate that AIA exposure inhibits ERK-CREB-BDNF-PSD95/NR2A by increasing DUSP6 in the mPFC in adulthood that may be associated with long-lasting cognitive deficits. Show less
📄 PDF DOI: 10.1007/s12035-023-03794-x
DUSP6
Xiangzheng Zhang, Yike Wang, Miao Zheng +5 more · 2024 · Frontiers in cell and developmental biology · Frontiers · added 2026-04-24
The utilization of denosumab in treating osteoporosis highlights promising prospects for osteoporosis intervention guided by gene targets. While omics-based research into osteoporosis pathogenesis yie Show more
The utilization of denosumab in treating osteoporosis highlights promising prospects for osteoporosis intervention guided by gene targets. While omics-based research into osteoporosis pathogenesis yields a plethora of potential gene targets for clinical transformation, identifying effective gene targets has posed challenges. We first queried the omics data of osteoporosis clinical samples on PubMed, used International Mouse Phenotyping Consortium (IMPC) to screen differentially expressed genes, and conducted preliminary functional verification of candidate genes in human Saos2 cells through osteogenic differentiation and mineralization experiments. We then selected the candidate genes with the most significant effects on osteogenic differentiation and further verified the osteogenic differentiation and mineralization functions in mouse 3T3-E1 and bone marrow mesenchymal stem cells (BMSC). Finally, we used RNA-seq to explore the regulation of osteogenesis by the target gene. We identified Our study provides several novel molecular mechanisms involved in the pathogenesis of osteoporosis. Show less
📄 PDF DOI: 10.3389/fcell.2024.1450215
EFR3B
Zezhou Liu, Cheng Wan, Yiling Cao +4 more · 2024 · Journal of nephrology · Springer · added 2026-04-24
The discovery of antigen phospholipase A2 receptor (PLA2R) in 2009 ushered in the antigen-based study of membranous nephropathy. The further putative antigen exostosin 1/2 (EXT1/2) was described in 20 Show more
The discovery of antigen phospholipase A2 receptor (PLA2R) in 2009 ushered in the antigen-based study of membranous nephropathy. The further putative antigen exostosin 1/2 (EXT1/2) was described in 2019. However, the distribution spectrum of glomerular EXT1 deposits in membranous nephropathy has not been fully elucidated. We conducted a retrospective cohort study of biopsy-proven membranous nephropathy patients. Patients with complete baseline data and adequate tissue specimens were included in this study. Tests for glomerular expression of PLA2R and EXT1 and circulating anti-PLA2R antibodies were performed. Clinicopathological and outcome data were reviewed. We included 626 patients, namely, 487 (77.8%) PLA2R-positive patients and 54 (8.6%) EXT1-positive patients; 32 (5.1%) patients were dual-positive for PLA2R and EXT1 (PLA2R + /EXT1 +). A higher percentage of dual-positive patients had low C3 levels (P < 0.001) and were more likely to have autoimmune diseases (P = 0.013) than PLA2R-positive and EXT1-negative (PLA2R + /EXT1-) patients. Kidney biopsy findings revealed that there was a higher percentage of glomerular IgG1, IgG2, IgA, C4, and C1q deposits (P < 0.05), "full-house" staining (P < 0.001), and stronger intensity of C1q staining (P = 0.002) in PLA2R + /EXT1 + patients. Based on Kaplan-Meier analysis, a higher percentage of PLA2R + /EXT1 + patients exhibited partial or complete remission of proteinuria. Furthermore, EXT1-positive expression was a favourable predictor for proteinuria remission, whereas interstitial fibrosis/tubular atrophy was an unfavourable predictor. A complement C3 level  < 0.79 g/L was independently associated with EXT1 positivity in PLA2R-positive membranous nephropathy. We describe a subgroup of PLA2R and EXT1 dual-positive patients. Patients in this subset exhibited more signs of autoimmunity and more frequent clinical remission. In PLA2R-positive membranous nephropathy, a complement C3 level  < 0.79 g/L was independently associated with EXT1 positivity, which was a favourable predictor for proteinuria remission. Show less
no PDF DOI: 10.1007/s40620-023-01779-6
EXT1
Lingang Dai, Dongwei An, Jiajin Huang +7 more · 2024 · International journal of biological macromolecules · Elsevier · added 2026-04-24
The kidding traits of goats are an important index of production. However, the molecular regulatory mechanisms of kidding traits in goats have not been fully elucidated. This study aimed to investigat Show more
The kidding traits of goats are an important index of production. However, the molecular regulatory mechanisms of kidding traits in goats have not been fully elucidated. This study aimed to investigate the molecular regulatory network of kidding traits in goats. Multi-omics revealed the enrichment of 10 signaling pathways, with fatty acid biosynthesis, biosynthesis of unsaturated fatty acids, and steroid hormone biosynthesis pathways being closely related to reproduction. Interestingly, the key rate-limiting enzymes, fatty acid synthase (FASN), stearoyl-CoA desaturase 5 (SCD5), fatty acid desaturase 1 (FADS1), 3β-hydroxysteroid dehydrogenase/isomerase (3BHSD), and steroidogenic acute regulatory protein (STAR) enriched in these pathways regulate changes in reproduction-related metabolites. In interference experiments, it was observed that suppressing these key rate-limiting enzymes inhibited the expression of CYP19A1, ESR2, and FSHR. Furthermore, interference inhibited granulosa cell proliferation, caused cell cycle arrest, and promoted apoptosis. Thus, these results suggest that the specific markers of nanny goats with multiple kids are the key rate-limiting enzymes FASN, SCD5, FADS1, 3BHSD, and STAR. These findings may greatly enhance the understanding of regulatory mechanisms that govern goat parturition. Show less
no PDF DOI: 10.1016/j.ijbiomac.2024.136737
FADS1
Caiyun Jiang, Yuanhang Shi, Xuefeng Shi +6 more · 2024 · Poultry science · Elsevier · added 2026-04-24
There was no significant difference in the composition and content of fatty acids in eggs among different breeds initially, but following the supplementation of flaxseed oil, Dwarf Layer were observed Show more
There was no significant difference in the composition and content of fatty acids in eggs among different breeds initially, but following the supplementation of flaxseed oil, Dwarf Layer were observed to deposit more n-3 polyunsaturated fatty acid (PUFA) in eggs. Currently, there is limited research on the mechanisms underlying the differences in egg composition among different breeds. Therefore, in this study, 150 twenty-four-wk-old hens of each breed, including the Dwarf Layer and White Leghorn, were fed either a basal diet or a diet supplemented with 2.5% flaxseed oil. After 28 d, eggs and liver samples were collected to determine fatty acid composition, and serum, liver, intestine, and follicles were collected for subsequent biochemical, intestinal morphology, and lipid metabolism-related genes expression analysis. Duodenal contents were collected for microbial analysis. The results showed that there was no significant difference in the content and deposition efficiency of total n-3 PUFA in the liver of the 2 breeds, but the content and deposition efficiency of total n-3 PUFA in the egg of Dwarf Layer were significantly higher than those of White Leghorn after feeding flaxseed oil. Flaxseed oil and breeds did not have significant effects on cholesterol (CHO), free fatty acids (NEFA), low-density lipoprotein (LDL), and estrogen (E Show less
📄 PDF DOI: 10.1016/j.psj.2024.104016
FADS1
Lihong Fan, Haibo Li, Ying Xu +9 more · 2024 · BMC medical genomics · BioMed Central · added 2026-04-24
TTN is a complex gene with large genomic size and highly repetitive structure. Pathogenic variants in TTN have been reported to cause a range of skeletal muscle and cardiac disorders. Homozygous or co Show more
TTN is a complex gene with large genomic size and highly repetitive structure. Pathogenic variants in TTN have been reported to cause a range of skeletal muscle and cardiac disorders. Homozygous or compound heterozygous mutations tend to cause a wide spectrum of phenotypes with congenital or childhood onset. The onset and severity of the features were considered to be correlated with the types and location of the TTN variants. Whole-exome sequencing was performed on three unrelated families presenting with fetal akinesia deformation sequence (FADS), mainly characterized by reduced fetal movements and limb contractures. Sanger sequencing was performed to confirm the variants. RT-PCR analysis was performed. TTN c.38,876-2 A > C, a meta transcript-only variant, with a second pathogenic or likely pathogenic variant in trans, was observed in five affected fetuses from the three families. Sanger sequencing showed that all the fetal variants were inherited from the parents. RT-PCR analysis showed two kinds of abnormal splicing, including intron 199 extension and skipping of 8 bases. Here we report on three unrelated families presenting with FADS caused by four TTN variants. In addition, our study demonstrates that pathogenic meta transcript-only TTN variant can lead to defects which is recognizable prenatally in a recessive manner. Show less
📄 PDF DOI: 10.1186/s12920-024-01946-z
FADS1
Yuan Liu, Xianfeng Wu, Qian Xu +2 more · 2024 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
In this study, we measured the growth performance and intramuscular fat (IMF) content of the
📄 PDF DOI: 10.3390/ani14121770
FADS1
Dushan T Ghooray, Manman Xu, Hongxue Shi +2 more · 2024 · International journal of molecular sciences · MDPI · added 2026-04-24
Fatty acid desaturase 1 (FADS1) is a rate-limiting enzyme in long-chain polyunsaturated fatty acid (LCPUFA) synthesis. Reduced activity of FADS1 was observed in metabolic dysfunction-associated steato Show more
Fatty acid desaturase 1 (FADS1) is a rate-limiting enzyme in long-chain polyunsaturated fatty acid (LCPUFA) synthesis. Reduced activity of FADS1 was observed in metabolic dysfunction-associated steatotic liver disease (MASLD). The aim of this study was to determine whether adeno-associated virus serotype 8 (AAV8) mediated hepatocyte-specific overexpression of Show less
📄 PDF DOI: 10.3390/ijms25094836
FADS1
Xueyan Wu, Lei Jiang, Hongyan Qi +16 more · 2024 · Translational psychiatry · Nature · added 2026-04-24
Epidemiological studies suggested an association between omega-3 fatty acids and cognitive function. However, the causal role of the fatty acid desaturase (FADS) gene, which play a key role in regulat Show more
Epidemiological studies suggested an association between omega-3 fatty acids and cognitive function. However, the causal role of the fatty acid desaturase (FADS) gene, which play a key role in regulating omega-3 fatty acids biosynthesis, on cognitive function is unclear. Hence, we used two-sample Mendelian randomization (MR) to estimate the gene-specific causal effect of omega-3 fatty acids (N = 114,999) on cognitive function (N = 300,486). Tissue- and cell type-specific effects of FADS1/FADS2 expression on cognitive function were estimated using brain tissue cis-expression quantitative trait loci (cis-eQTL) datasets (GTEx, N ≤ 209; MetaBrain, N ≤ 8,613) and single cell cis-eQTL data (N = 373), respectively. These causal effects were further evaluated in whole blood cis-eQTL data (N ≤ 31,684). A series of sensitivity analyses were conducted to validate MR assumptions. Leave-one-out MR showed a FADS gene-specific effect of omega-3 fatty acids on cognitive function [β = -1.3 × 10 Show less
📄 PDF DOI: 10.1038/s41398-024-02784-4
FADS1
Hai-Tao Yu, Jia-Yu Gong, Wen-Hui Xu +6 more · 2024 · The Journal of nutrition · Elsevier · added 2026-04-24
Polyunsaturated fatty acids (PUFAs), especially docosahexaenoic acid (DHA), are critical for proper fetal brain growth and development. Gestational diabetes mellitus (GDM) could affect maternal-fetal Show more
Polyunsaturated fatty acids (PUFAs), especially docosahexaenoic acid (DHA), are critical for proper fetal brain growth and development. Gestational diabetes mellitus (GDM) could affect maternal-fetal fatty acid metabolism. This study aimed to explore the effect of GDM and high-fat (HF) diet on the DHA transport signaling pathway in the placenta-brain axis and fatty acid concentrations in the fetal brain. Insulin receptor antagonist (S961) and HF diet were used to establish an animal model of GDM. Eighty female C57BL/6J mice were randomly divided into control (CON), GDM, HF, and HF+GDM groups. The fatty acid profiles of the maternal liver and fetal brain were analyzed by gas chromatography. In addition, we analyzed the protein amounts of maternal liver fatty acid desaturase (FADS1/3), elongase (ELOVL2/5) and the regulatory factor sterol-regulatory element-binding protein (SREBP)-1c, and the DHA transport signaling pathway (Wnt3/β-catenin/MFSD2a) of the placenta and fetal brain using western blotting. GDM promoted the decrease of maternal liver ELOVL2, ELOVL5, and SREBP-1c. Accordingly, we observed a significant decrease in the amount of maternal liver arachidonic acid (AA), DHA, and total n-3 PUFA and n-6 PUFA induced by GDM. GDM also significantly decreased the amount of DHA and n-3 PUFA in the fetal brain. GDM downregulated the Wnt3/β-catenin/MFSD2a signaling pathway, which transfers n-3 PUFA in the placenta and fetal brain. The HF diet increased n-6 PUFA amounts in the maternal liver, correspondingly increasing linoleic acid, gamma-linolenic acid, AA, and total n-6 PUFA in the fetal brain, but decreased DHA amount in the fetal brain. However, HF diet only tended to decrease placental β-catenin and MFSD2a amounts (P = 0.074 and P = 0.098, respectively). Maternal GDM could affect the fatty acid profile of the fetal brain both by downregulating the Wnt3/β-catenin/MFSD2a pathway of the placental-fetal barrier and by affecting maternal fatty acid metabolism. Show less
no PDF DOI: 10.1016/j.tjnut.2023.12.045
FADS1
Liu Yang, Hongwei Yin, Lijing Bai +20 more · 2024 · Genome biology · BioMed Central · added 2026-04-24
Structural variations (SVs) have significant impacts on complex phenotypes by rearranging large amounts of DNA sequence. We present a comprehensive SV catalog based on the whole-genome sequence of 106 Show more
Structural variations (SVs) have significant impacts on complex phenotypes by rearranging large amounts of DNA sequence. We present a comprehensive SV catalog based on the whole-genome sequence of 1060 pigs (Sus scrofa) representing 101 breeds, covering 9.6% of the pig genome. This catalog includes 42,487 deletions, 37,913 mobile element insertions, 3308 duplications, 1664 inversions, and 45,184 break ends. Estimates of breed ancestry and hybridization using genotyped SVs align well with those from single nucleotide polymorphisms. Geographically stratified deletions are observed, along with known duplications of the KIT gene, responsible for white coat color in European pigs. Additionally, we identify a recent SINE element insertion in MYO5A transcripts of European pigs, potentially influencing alternative splicing patterns and coat color alterations. Furthermore, a Yorkshire-specific copy number gain within ABCG2 is found, impacting chromatin interactions and gene expression across multiple tissues over a stretch of genomic region of ~200 kb. Preliminary investigations into SV's impact on gene expression and traits using the Pig Genotype-Tissue Expression (PigGTEx) data reveal SV associations with regulatory variants and gene-trait pairs. For instance, a 51-bp deletion is linked to the lead eQTL of the lipid metabolism regulating gene FADS3, whose expression in embryo may affect loin muscle area, as revealed by our transcriptome-wide association studies. This SV catalog serves as a valuable resource for studying diversity, evolutionary history, and functional shaping of the pig genome by processes like domestication, trait-based breeding, and adaptive evolution. Show less
📄 PDF DOI: 10.1186/s13059-024-03253-3
FADS3
Young-Cheul Shin, Ashlee Marie Plummer-Medeiros, Alison Mungenast +14 more · 2024 · Science advances · Science · added 2026-04-24
Phospholipase C gamma 2 (PLCγ2) plays important roles in cell signaling downstream of various membrane receptors. PLCγ2 contains a multidomain inhibitory region critical for its regulation, while it h Show more
Phospholipase C gamma 2 (PLCγ2) plays important roles in cell signaling downstream of various membrane receptors. PLCγ2 contains a multidomain inhibitory region critical for its regulation, while it has remained unclear how these domains contribute to PLCγ2 activity modulation. Here we determined three structures of human PLCγ2 in autoinhibited states, which reveal dynamic interactions at the autoinhibition interface, involving the conformational flexibility of the Src homology 3 (SH3) domain in the inhibitory region, and its previously unknown interaction with a carboxyl-terminal helical domain in the core region. We also determined a structure of PLCγ2 bound to the kinase domain of fibroblast growth factor receptor 1 (FGFR1), which demonstrates the recognition of FGFR1 by the nSH2 domain in the inhibitory region of PLCγ2. Our results provide structural insights into PLCγ2 regulation that will facilitate future mechanistic studies to understand the entire activation process. Show less
📄 PDF DOI: 10.1126/sciadv.adn6037
FGFR1
Jiajia Yuan, Lin Shen, Tian Shu Liu +17 more · 2024 · Clinical and translational science · Blackwell Publishing · added 2026-04-24
Infigratinib, an FGFR1-3 selective oral tyrosine kinase inhibitor, has shown clinical activity in cancers with FGFR alterations. The pharmacokinetics (PK) of infigratinib and its major metabolites hav Show more
Infigratinib, an FGFR1-3 selective oral tyrosine kinase inhibitor, has shown clinical activity in cancers with FGFR alterations. The pharmacokinetics (PK) of infigratinib and its major metabolites have been characterized in global populations. This study examined the PK profile of infigratinib and its metabolites in Chinese patients. In this phase II, open-label, single-arm study in China, patients with advanced gastric cancer (GC) or gastroesophageal junction adenocarcinoma (GEJ) harboring FGFR2 gene amplification received 125 mg infigratinib orally once daily in a "3 weeks on, 1 week off" schedule for 28-day cycles. Plasma PK parameters were calculated with a non-compartmental model. Data were available from 21 patients (19 GC and two GEJ). After a single dose, peak infigratinib plasma concentration was reached at a median time of 3.1 h, with geometric mean C Show less
📄 PDF DOI: 10.1111/cts.70091
FGFR1
Shuai Fan, Yuxin Chen, Wenyu Wang +7 more · 2024 · Current issues in molecular biology · MDPI · added 2026-04-24
FGFR1 is a key member of the fibroblast growth factor receptor family, mediating critical signaling pathways such as RAS-MAPK and PI3K-AKT. which are integral to regulating essential cellular processe Show more
FGFR1 is a key member of the fibroblast growth factor receptor family, mediating critical signaling pathways such as RAS-MAPK and PI3K-AKT. which are integral to regulating essential cellular processes, including proliferation, differentiation, and survival. Alterations in FGFR1 can lead to constitutive activation of signaling pathways that drive oncogenesis by promoting uncontrolled cell division, inhibiting apoptosis, and enhancing the metastatic potential of cancer cells. This article reviews the activation mechanisms and signaling pathways of FGFR1 and provides a detailed exposition of the types of FGFR1 aberration. Furthermore, we have compiled a comprehensive overview of current therapies targeting FGFR1 aberration in cancer, aiming to offer new perspectives for future cancer treatments by focusing on drugs that address specific FGFR1 alterations. Show less
📄 PDF DOI: 10.3390/cimb46110783
FGFR1
Daimin Xiang, Junyu Liu, Yichuan Wang +13 more · 2024 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal Show more
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T-IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome-dependent manner. Patient-derived tumor organoids (PDOs), patient-derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs-resistant HCC with adeno-associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy. Show less
📄 PDF DOI: 10.1002/advs.202401228
FGFR1
Runqun Tang, Ziyi Zhang, Xiaoyang Liu +6 more · 2024 · ACS nano · ACS Publications · added 2026-04-24
Fibroblast growth factor receptor 1 (FGFR1) is emerging as a promising molecular target of lung cancer, and various FGFR1 inhibitors have exhibited significant therapeutic effects on lung cancer in pr Show more
Fibroblast growth factor receptor 1 (FGFR1) is emerging as a promising molecular target of lung cancer, and various FGFR1 inhibitors have exhibited significant therapeutic effects on lung cancer in preclinical research. Due to their low targeting ability or bioavailability, direct administration of these inhibitors may cause side effects. Herein, a hydrogelator, Nap-Phe-Phe-Phe-Glu-Thr-Glu-Leu-Tyr-OH ( Show less
no PDF DOI: 10.1021/acsnano.4c11548
FGFR1
Yang Pan, Xiangyu Chen, Hang Zhou +7 more · 2024 · Frontiers in endocrinology · Frontiers · added 2026-04-24
Non-obstructive azoospermia (NOA) is a major contributor of male infertility. Herein, we used existing datasets to identify novel biomarkers for the diagnosis and prognosis of NOA, which could have gr Show more
Non-obstructive azoospermia (NOA) is a major contributor of male infertility. Herein, we used existing datasets to identify novel biomarkers for the diagnosis and prognosis of NOA, which could have great significance in the field of male infertility. NOA datasets were obtained from the Gene Expression Omnibus (GEO) database. CIBERSORT was utilized to analyze the distributions of 22 immune cell populations. Hub genes were identified by applying weighted gene co-expression network analysis (WGCNA), machine learning methods, and protein-protein interaction (PPI) network analysis. The expression of hub genes was verified in external datasets and was assessed by receiver operating characteristic (ROC) curve analysis. Gene set enrichment analysis (GSEA) was applied to explore the important functions and pathways of hub genes. The mRNA-microRNA (miRNA)-transcription factors (TFs) regulatory network and potential drugs were predicted based on hub genes. Single-cell RNA sequencing data from the testes of patients with NOA were applied for analyzing the distribution of hub genes in single-cell clusters. Furthermore, testis tissue samples were obtained from patients with NOA and obstructive azoospermia (OA) who underwent testicular biopsy. RT-PCR and Western blot were used to validate hub gene expression. Two immune-related oxidative stress hub genes ( It appears that Show less
📄 PDF DOI: 10.3389/fendo.2024.1356959
FGFR1
Minglu Meng, Yingjiao Ma, Jianguo Xu +2 more · 2024 · Frontiers in molecular biosciences · Frontiers · added 2026-04-24
Fibroblast growth factor receptor 1 ( RT-qPCR was utilized to assess Elevated Our findings reveal a potential mechanism involving
📄 PDF DOI: 10.3389/fmolb.2024.1433557
FGFR1
Chengniu Wang, Xiaorong Wang, Wenran Wang +14 more · 2024 · Cell & bioscience · BioMed Central · added 2026-04-24
The cell development atlas of transition stage from late Carnegie to fetal development (7-9 weeks) remain unclear. It can be seen that the early period of human embryos (7-9 weeks) is a critical resea Show more
The cell development atlas of transition stage from late Carnegie to fetal development (7-9 weeks) remain unclear. It can be seen that the early period of human embryos (7-9 weeks) is a critical research gap. Therefore, we employed single‑cell RNA sequencing to identify cell types and elucidate differentiation relationships. The single‑cell RNA sequencing analysis determines eighteen cell clusters in human embryos during the 7-9 weeks period. We uncover two distinct pathways of cellular development and differentiation. Initially, mesenchymal progenitor cells differentiated into osteoblast progenitor cells and neural stem cells, respectively. Neural stem cells further differentiated into neurons. Alternatively, multipotential stem cells differentiated into adipocyte, hematopoietic stem cells and neutrophil, respectively. Additionally, COL1A2-(ITGA1 + ITGB1) mediated the cell communication between mesenchymal progenitor cells and osteoblast progenitor cells. NCAM1-FGFR1 facilitated the cell communication between mesenchymal progenitor cells and neural stem cells. Notably, NCAM1-NCAM1 as a major contributor mediated the cell communication between neural stem cells and neurons. Moreover, CGA-FSHR simultaneously mediated the communication between multipotential stem cells, adipocyte, hematopoietic stem cells and neutrophil. Distinct cell clusters activated specific transcription factors such as HIC1, LMX1B, TWIST1, and et al., which were responsible for their specific functions. These coregulators, such as HOXB13, VSX2, PAX5, and et al., may mediate cell development and differentiation in human embryos. We provide the cell development atlas for human embryos (7-9 weeks). Two distinct cell development and differentiation pathways are revealed. Show less
📄 PDF DOI: 10.1186/s13578-024-01302-9
FGFR1