👤 Haoting Chen

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2981
Articles
1996
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Also published as: Ai-Qun Chen, Aiping Chen, Alex Chen, Alex F Chen, Alice P Chen, Alice Y Chen, Alice Ye A Chen, Allen Menglin Chen, Alon Chen, Alvin Chen, An Chen, Andrew Chen, Anqi Chen, Aoshuang Chen, Aozhou Chen, B Chen, B-S Chen, Baihua Chen, Ban Chen, Bang Chen, Bang-dang Chen, Bao-Bao Chen, Bao-Fu Chen, Bao-Sheng Chen, Bao-Ying Chen, Baofeng Chen, Baojiu Chen, Baolin Chen, Baosheng Chen, Baoxiang Chen, Beidong Chen, Beijian Chen, Ben-Kuen Chen, Benjamin Chen, Benjamin Jieming Chen, Benjamin P C Chen, Beth L Chen, Bihong T Chen, Bin Chen, Bing Chen, Bing-Bing Chen, Bing-Feng Chen, Bing-Huei Chen, Bingdi Chen, Bingqian Chen, Bingqing Chen, Bingyu Chen, Binlong Chen, Binzhen Chen, Bo Chen, Bo-Fang Chen, Bo-Jun Chen, Bo-Rui Chen, Bo-Sheng Chen, Bohe Chen, Bohong Chen, Bosong Chen, Bowang Chen, Bowei Chen, Bowen Chen, Boyu Chen, Brian Chen, C Chen, C Y Chen, C Z Chen, C-Y Chen, Cai-Long Chen, Caihong Chen, Can Chen, Cancan Chen, Canrong Chen, Canyu Chen, Caressa Chen, Carl Pc Chen, Carol Chen, Carol X-Q Chen, Catherine Qing Chen, Ceshi Chen, Chan Chen, Chang Chen, Chang-Lan Chen, Chang-Zheng Chen, Changjie Chen, Changya Chen, Changyan Chen, Chanjuan Chen, Chao Chen, Chao-Jung Chen, Chao-Wei Chen, Chaochao Chen, Chaojin Chen, Chaoli Chen, Chaoping Chen, Chaoqun Chen, Chaoran Chen, Chaoyi Chen, Chaoyue Chen, Chen Chen, Chen-Mei Chen, Chen-Sheng Chen, Chen-Yu Chen, Cheng Chen, Cheng-Fong Chen, Cheng-Sheng Chen, Cheng-Yi Chen, Cheng-Yu Chen, Chengchuan Chen, Chengchun Chen, Chengde Chen, Chengsheng Chen, Chengwei Chen, Chenyang Chen, Chi Chen, Chi-Chien Chen, Chi-Hua Chen, Chi-Long Chen, Chi-Yu Chen, Chi-Yuan Chen, Chi-Yun Chen, Chian-Feng Chen, Chider Chen, Chien-Hsiun Chen, Chien-Jen Chen, Chien-Lun Chen, Chien-Ting Chen, Chien-Yu Chen, Chih-Chieh Chen, Chih-Mei Chen, Chih-Ping Chen, Chih-Ta Chen, Chih-Wei Chen, Chih-Yi Chen, Chin-Chuan Chen, Ching Kit Chen, Ching-Hsuan Chen, Ching-Jung Chen, Ching-Wen Chen, Ching-Yi Chen, Ching-Yu Chen, Chiqi Chen, Chiung Mei Chen, Chiung-Mei Chen, Chixiang Chen, Chong Chen, Chongyang Chen, Christina Y Chen, Christina Yingxian Chen, Christopher S Chen, Chu Chen, Chu-Huang Chen, Chuanbing Chen, Chuannan Chen, Chuanzhi Chen, Chuck T Chen, Chueh-Tan Chen, Chujie Chen, Chun Chen, Chun-An Chen, Chun-Chi Chen, Chun-Fa Chen, Chun-Han Chen, Chun-Houh Chen, Chun-Wei Chen, Chun-Yuan Chen, Chung-Hao Chen, Chung-Hsing Chen, Chung-Hung Chen, Chung-Jen Chen, Chung-Yung Chen, Chunhai Chen, Chunhua Chen, Chunji Chen, Chunjie Chen, Chunlin Chen, Chunnuan Chen, Chunxiu Chen, Chuo Chen, Chuyu Chen, Cindi Chen, Constance Chen, Cuicui Chen, Cuie Chen, Cuilan Chen, Cuimin Chen, Cuncun Chen, D F Chen, D M Chen, D-F Chen, D. Chen, Dafang Chen, Daijie Chen, Daiwen Chen, Daiyu Chen, Dake Chen, Dali Chen, Dan Chen, Dan-Dan Chen, Dandan Chen, Danlei Chen, Danli Chen, Danmei Chen, Danna Chen, Danni Chen, Danxia Chen, Danxiang Chen, Danyang Chen, Danyu Chen, Daoyuan Chen, Dapeng Chen, Dawei Chen, Defang Chen, Dejuan Chen, Delong Chen, Denghui Chen, Dengpeng Chen, Deqian Chen, Dexi Chen, Dexiang Chen, Dexiong Chen, Deying Chen, Deyu Chen, Di Chen, Di-Long Chen, Dian Chen, Dianke Chen, Ding Chen, Diyun Chen, Dong Chen, Dong-Mei Chen, Dong-Yi Chen, Dongli Chen, Donglong Chen, Dongquan Chen, Dongrong Chen, Dongsheng Chen, Dongxue Chen, Dongyan Chen, Dongyin Chen, Du-Qun Chen, Duan-Yu Chen, Duo Chen, Duo-Xue Chen, Duoting Chen, E S Chen, Eleanor Y Chen, Elizabeth H Chen, Elizabeth S Chen, Elizabeth Suchi Chen, Emily Chen, En-Qiang Chen, Erbao Chen, Erfei Chen, Erqu Chen, Erzhen Chen, Everett H Chen, F Chen, F-K Chen, Fa Chen, Fa-Xi Chen, Fahui Chen, Fan Chen, Fang Chen, Fang-Pei Chen, Fang-Yu Chen, Fang-Zhi Chen, Fang-Zhou Chen, Fangfang Chen, Fangli Chen, Fangyan Chen, Fangyuan Chen, Faye H Chen, Fei Chen, Fei Xavier Chen, Feifan Chen, Feifeng Chen, Feilong Chen, Feixue Chen, Feiyang Chen, Feiyu Chen, Feiyue Chen, Feng Chen, Feng-Jung Chen, Feng-Ling Chen, Fenghua Chen, Fengju Chen, Fengling Chen, Fengming Chen, Fengrong Chen, Fengwu Chen, Fengyang Chen, Fred K Chen, Fu Chen, Fu-Shou Chen, Fumei Chen, Fusheng Chen, Fuxiang Chen, Gang Chen, Gao B Chen, Gao Chen, Gao-Feng Chen, Gaoyang Chen, Gaoyu Chen, Gaozhi Chen, Gary Chen, Gary K Chen, Ge Chen, Gen-Der Chen, Geng Chen, Gengsheng Chen, Ginny I Chen, Gong Chen, Gongbo Chen, Gonghai Chen, Gonglie Chen, Guan-Wei Chen, Guang Chen, Guang-Chao Chen, Guang-Yu Chen, Guangchun Chen, Guanghao Chen, Guanghong Chen, Guangjie Chen, Guangju Chen, Guangliang Chen, Guanglong Chen, Guangnan Chen, Guangping Chen, Guangquan Chen, Guangyao Chen, Guangyi Chen, Guangyong Chen, Guanjie Chen, Guanren Chen, Guanyu Chen, Guanzheng Chen, Gui Mei Chen, Gui-Hai Chen, Gui-Lai Chen, Guihao Chen, Guiqian Chen, Guiquan Chen, Guiying Chen, Guo Chen, Guo-Chong Chen, Guo-Jun Chen, Guo-Rong Chen, Guo-qing Chen, Guochao Chen, Guochong Chen, Guofang Chen, Guohong Chen, Guohua Chen, Guojun Chen, Guoliang Chen, Guopu Chen, Guoshun Chen, Guoxun Chen, Guozhong Chen, Guozhou Chen, H Chen, H Q Chen, H T Chen, Hai-Ning Chen, Haibing Chen, Haibo Chen, Haide Chen, Haifeng Chen, Haijiao Chen, Haimin Chen, Haiming Chen, Haining Chen, Haiqin Chen, Haiquan Chen, Haitao Chen, Haiyan Chen, Haiyang Chen, Haiyi Chen, Haiying Chen, Haiyu Chen, Haiyun Chen, Han Chen, Han-Bin Chen, Han-Chun Chen, Han-Hsiang Chen, Han-Min Chen, Hanbei Chen, Hang Chen, Hangang Chen, Hanjing Chen, Hanlin Chen, Hanqing Chen, Hanwen Chen, Hanxi Chen, Hanyong Chen, Hao Chen, Hao Yu Chen, Hao-Zhu Chen, Haobo Chen, Haodong Chen, Haojie Chen, Haoran Chen, Haotai Chen, Haotian Chen, Haoyun Chen, Haozhu Chen, Harn-Shen Chen, Haw-Wen Chen, He-Ping Chen, Hebing Chen, Hegang Chen, Hehe Chen, Hekai Chen, Heng Chen, Heng-Sheng Chen, Heng-Yu Chen, Hengsan Chen, Hengsheng Chen, Hengyu Chen, Heni Chen, Herbert Chen, Hetian Chen, Heye Chen, Hong Chen, Hong Yang Chen, Hong-Sheng Chen, Hongbin Chen, Hongbo Chen, Hongen Chen, Honghai Chen, Honghui Chen, Honglei Chen, Hongli Chen, Hongmei Chen, Hongmin Chen, Hongmou Chen, Hongqi Chen, Hongqiao Chen, Hongshan Chen, Hongxiang Chen, Hongxing Chen, Hongxu Chen, Hongyan Chen, Hongyu Chen, Hongyue Chen, Hongzhi Chen, Hou-Tsung Chen, Hou-Zao Chen, Hsi-Hsien Chen, Hsiang-Wen Chen, Hsiao-Jou Cortina Chen, Hsiao-Tan Chen, Hsiao-Wang Chen, Hsiao-Yun Chen, Hsin-Han Chen, Hsin-Hong Chen, Hsin-Hung Chen, Hsin-Yi Chen, Hsiu-Wen Chen, Hsuan-Yu Chen, Hsueh-Fen Chen, Hu Chen, Hua Chen, Hua-Pu Chen, Huachen Chen, Huafei Chen, Huaiyong Chen, Hualan Chen, Huali Chen, Hualin Chen, Huan Chen, Huan-Xin Chen, Huanchun Chen, Huang Chen, Huang-Pin Chen, Huangtao Chen, Huanhua Chen, Huanhuan Chen, Huanxiong Chen, Huaping Chen, Huapu Chen, Huaqiu Chen, Huatao Chen, Huaxin Chen, Huayu Chen, Huei-Rong Chen, Huei-Yan Chen, Huey-Miin Chen, Hui Chen, Hui Mei Chen, Hui-Chun Chen, Hui-Fen Chen, Hui-Jye Chen, Hui-Ru Chen, Hui-Wen Chen, Hui-Xiong Chen, Hui-Zhao Chen, Huichao Chen, Huijia Chen, Huijiao Chen, Huijie Chen, Huimei Chen, Huimin Chen, Huiqin Chen, Huiqun Chen, Huiru Chen, Huishan Chen, Huixi Chen, Huixian Chen, Huizhi Chen, Hung-Chang Chen, Hung-Chi Chen, Hung-Chun Chen, Hung-Po Chen, Hung-Sheng Chen, I-Chun Chen, I-M Chen, Ida Y-D Chen, Irwin Chen, Ivy Xiaoying Chen, J Chen, Jacinda Chen, Jack Chen, Jake Y Chen, Jason A Chen, Jeanne Chen, Jen-Hau Chen, Jen-Sue Chen, Jennifer F Chen, Jenny Chen, Jeremy J W Chen, Ji-ling Chen, Jia Chen, Jia Min Chen, Jia Wei Chen, Jia-De Chen, Jia-Feng Chen, Jia-Lin Chen, Jia-Mei Chen, Jia-Shun Chen, Jiabing Chen, Jiacai Chen, Jiacheng Chen, Jiade Chen, Jiahao Chen, Jiahua Chen, Jiahui Chen, Jiajia Chen, Jiajing Chen, Jiajun Chen, Jiakang Chen, Jiale Chen, Jiali Chen, Jialing Chen, Jiamiao Chen, Jiamin Chen, Jian Chen, Jian-Guo Chen, Jian-Hua Chen, Jian-Jun Chen, Jian-Kang Chen, Jian-Min Chen, Jian-Qiao Chen, Jian-Qing Chen, Jianan Chen, Jianfei Chen, Jiang Chen, Jiang Ye Chen, Jiang-hua Chen, Jianghua Chen, Jiangxia Chen, Jianhua Chen, Jianhui Chen, Jiani Chen, Jianjun Chen, Jiankui Chen, Jianlin Chen, Jianmin Chen, Jianping Chen, Jianshan Chen, Jiansu Chen, Jianxiong Chen, Jianzhong Chen, Jianzhou Chen, Jiao Chen, Jiao-Jiao Chen, Jiaohua Chen, Jiaping Chen, Jiaqi Chen, Jiaqing Chen, Jiaren Chen, Jiarou Chen, Jiawei Chen, Jiawen Chen, Jiaxin Chen, Jiaxu Chen, Jiaxuan Chen, Jiayao Chen, Jiaye Chen, Jiayi Chen, Jiayuan Chen, Jichong Chen, Jie Chen, Jie-Hua Chen, Jiejian Chen, Jiemei Chen, Jien-Jiun Chen, Jihai Chen, Jijun Chen, Jimei Chen, Jin Chen, Jin-An Chen, Jin-Ran Chen, Jin-Shuen Chen, Jin-Wu Chen, Jin-Xia Chen, Jina Chen, Jinbo Chen, Jindong Chen, Jing Chen, Jing-Hsien Chen, Jing-Wen Chen, Jing-Xian Chen, Jing-Yuan Chen, Jing-Zhou Chen, Jingde Chen, Jinghua Chen, Jingjing Chen, Jingli Chen, Jinglin Chen, Jingming Chen, Jingnan Chen, Jingqing Chen, Jingshen Chen, Jingteng Chen, Jinguo Chen, Jingxuan Chen, Jingyao Chen, Jingyi Chen, Jingyuan Chen, Jingzhao Chen, Jingzhou Chen, Jinhao Chen, Jinhuang Chen, Jinli Chen, Jinlun Chen, Jinquan Chen, Jinsong Chen, Jintian Chen, Jinxuan Chen, Jinyan Chen, Jinyong Chen, Jion Chen, Jiong Chen, Jiongyu Chen, Jishun Chen, Jiu-Chiuan Chen, Jiujiu Chen, Jiwei Chen, Jiyan Chen, Jiyuan Chen, Jonathan Chen, Joy J Chen, Juan Chen, Juan-Juan Chen, Juanjuan Chen, Juei-Suei Chen, Juhai Chen, Jui-Chang Chen, Jui-Yu Chen, Jun Chen, Jun-Long Chen, Junchen Chen, Junfei Chen, Jung-Sheng Chen, Junhong Chen, Junhui Chen, Junjie Chen, Junling Chen, Junmin Chen, Junming Chen, Junpan Chen, Junpeng Chen, Junqi Chen, Junqin Chen, Junsheng Chen, Junshi Chen, Junyang Chen, Junyi Chen, Junyu Chen, K C Chen, Kai Chen, Kai-En Chen, Kai-Ming Chen, Kai-Ting Chen, Kai-Yang Chen, Kaifu Chen, Kaijian Chen, Kailang Chen, Kaili Chen, Kaina Chen, Kaiquan Chen, Kan Chen, Kang Chen, Kang-Hua Chen, Kangyong Chen, Kangzhen Chen, Katharine Y Chen, Katherine C Chen, Ke Chen, Kecai Chen, Kehua Chen, Kehui Chen, Kelin Chen, Ken Chen, Kenneth L Chen, Keping Chen, Kequan Chen, Kevin Chen, Kewei Chen, Kexin Chen, Keyan Chen, Keyang Chen, Keying Chen, Keyu Chen, Keyuan Chen, Kuan-Jen Chen, Kuan-Ling Chen, Kuan-Ting Chen, Kuan-Yu Chen, Kuangyang Chen, Kuey Chu Chen, Kui Chen, Kun Chen, Kun-Chieh Chen, Kunmei Chen, Kunpeng Chen, L B Chen, L F Chen, Lan Chen, Lang Chen, Lankai Chen, Lanlan Chen, Lanmei Chen, Le Chen, Le Qi Chen, Lei Chen, Lei-Chin Chen, Lei-Lei Chen, Leijie Chen, Lena W Chen, Leqi Chen, Letian Chen, Lexia Chen, Li Chen, Li Jia Chen, Li-Chieh Chen, Li-Hsien Chen, Li-Hsin Chen, Li-Hua Chen, Li-Jhen Chen, Li-Juan Chen, Li-Mien Chen, Li-Nan Chen, Li-Tzong Chen, Li-Zhen Chen, Li-hong Chen, Lian Chen, Lianfeng Chen, Liang Chen, Liang-Kung Chen, Liangkai Chen, Liangsheng Chen, Liangwan Chen, Lianmin Chen, Liaobin Chen, Lichang Chen, Lichun Chen, Lidian Chen, Lie Chen, Liechun Chen, Lifang Chen, Lifen Chen, Lifeng Chen, Ligang Chen, Lihong Chen, Lihua Chen, Lijin Chen, Lijuan Chen, Lili Chen, Limei Chen, Limin Chen, Liming Chen, Lin Chen, Lina Chen, Linbo Chen, Ling Chen, Ling-Yan Chen, Lingfeng Chen, Lingjun Chen, Lingli Chen, Lingxia Chen, Lingxue Chen, Lingyi Chen, Linjie Chen, Linlin Chen, Linna Chen, Linxi Chen, Linyi Chen, Liping Chen, Liqiang Chen, Liugui Chen, Liujun Chen, Liutao Chen, Lixia Chen, Lixian Chen, Liyun Chen, Lizhen Chen, Lizhu Chen, Lo-Yun Chen, Long Chen, Long-Jiang Chen, Longqing Chen, Longyun Chen, Lu Chen, Lu Hua Chen, Lu-Biao Chen, Lu-Zhu Chen, Lulu Chen, Luming Chen, Luyi Chen, Luzhu Chen, M Chen, M L Chen, Man Chen, Man-Hua Chen, Mao Chen, Mao-Yuan Chen, Maochong Chen, Maorong Chen, Marcus Y Chen, Mark I-Cheng Chen, Max Jl Chen, Mechi Chen, Mei Chen, Mei-Chi Chen, Mei-Chih Chen, Mei-Hsiu Chen, Mei-Hua Chen, Mei-Jie Chen, Mei-Ling Chen, Mei-Ru Chen, Meilan Chen, Meilin Chen, Meiling Chen, Meimei Chen, Meiting Chen, Meiyang Chen, Meiyu Chen, Meizhen Chen, Meng Chen, Meng Xuan Chen, Meng-Lin Chen, Meng-Ping Chen, Mengdi Chen, Menglan Chen, Mengling Chen, Mengping Chen, Mengqing Chen, Mengting Chen, Mengxia Chen, Mengyan Chen, Mengying Chen, Mian-Mian Chen, Miao Chen, Miao-Der Chen, Miao-Hsueh Chen, Miao-Yu Chen, Miaomiao Chen, Miaoran Chen, Michael C Chen, Michelle Chen, Mien-Cheng Chen, Min Chen, Min-Hsuan Chen, Min-Hu Chen, Min-Jie Chen, Ming Chen, Ming-Fong Chen, Ming-Han Chen, Ming-Hong Chen, Ming-Huang Chen, Ming-Huei Chen, Ming-Yu Chen, Mingcong Chen, Mingfeng Chen, Minghong Chen, Minghua Chen, Minglang Chen, Mingling Chen, Mingmei Chen, Mingxia Chen, Mingxing Chen, Mingyang Chen, Mingyi Chen, Mingyue Chen, Minjian Chen, Minjiang Chen, Minjie Chen, Minyan Chen, Mo Chen, Mu-Hong Chen, Muh-Shy Chen, Mulan Chen, Mystie X Chen, Na Chen, Naifei Chen, Naisong Chen, Nan Chen, Ni Chen, Nian-Ping Chen, Ning Chen, Ning-Bo Chen, Ning-Hung Chen, Ning-Yuan Chen, Ningbo Chen, Ningning Chen, Nuan Chen, On Chen, Ou Chen, Ouyang Chen, P P Chen, Pan Chen, Paul Chih-Hsueh Chen, Pei Chen, Pei-Chen Chen, Pei-Chun Chen, Pei-Lung Chen, Pei-Yi Chen, Pei-Yin Chen, Pei-zhan Chen, Peihong Chen, Peipei Chen, Peiqin Chen, Peixian Chen, Peiyou Chen, Peiyu Chen, Peize Chen, Peizhan Chen, Peng Chen, Peng-Cheng Chen, Pengxiang Chen, Ping Chen, Ping-Chung Chen, Ping-Kun Chen, Pingguo Chen, Po-Han Chen, Po-Ju Chen, Po-Min Chen, Po-See Chen, Po-Sheng Chen, Po-Yu Chen, Qi Chen, Qi-An Chen, Qian Chen, Qianbo Chen, Qianfen Chen, Qiang Chen, Qiangpu Chen, Qiankun Chen, Qianling Chen, Qianming Chen, Qianping Chen, Qianqian Chen, Qianxue Chen, Qianyi Chen, Qianyu Chen, Qianyun Chen, Qianzhi Chen, Qiao Chen, Qiao-Yi Chen, Qiaoli Chen, Qiaoling Chen, Qichen Chen, Qifang Chen, Qihui Chen, Qili Chen, Qinfen Chen, Qing Chen, Qing-Hui Chen, Qing-Juan Chen, Qing-Wei Chen, Qingao Chen, Qingchao Chen, Qingchuan Chen, Qingguang Chen, Qinghao Chen, Qinghua Chen, Qingjiang Chen, Qingjie Chen, Qingliang Chen, Qingmei Chen, Qingqing Chen, Qingqiu Chen, Qingshi Chen, Qingxing Chen, Qingyang Chen, Qingyi Chen, Qinian Chen, Qinsheng Chen, Qinying Chen, Qiong Chen, Qiongyun Chen, Qiqi Chen, Qitong Chen, Qiu Jing Chen, Qiu-Jing Chen, Qiu-Sheng Chen, Qiuchi Chen, Qiuhong Chen, Qiujing Chen, Qiuli Chen, Qiuwen Chen, Qiuxia Chen, Qiuxiang Chen, Qiuxuan Chen, Qiuyun Chen, Qiwei Chen, Qixian Chen, Qu Chen, Quan Chen, Quanjiao Chen, Quanwei Chen, Qunxiang Chen, R Chen, Ran Chen, Ranyun Chen, Ray-Jade Chen, Ren-Hui Chen, Renjin Chen, Renwei Chen, Renyu Chen, Robert Chen, Roger Chen, Rong Chen, Rong-Hua Chen, Rongfang Chen, Rongfeng Chen, Rongrong Chen, Rongsheng Chen, Rongyuan Chen, Roufen Chen, Rouxi Chen, Ru Chen, Rucheng Chen, Ruey-Hwa Chen, Rui Chen, Rui-Fang Chen, Rui-Min Chen, Rui-Pei Chen, Rui-Zhen Chen, Ruiai Chen, Ruibing Chen, Ruijing Chen, Ruijuan Chen, Ruilin Chen, Ruimin Chen, Ruiming Chen, Ruiqi Chen, Ruisen Chen, Ruixiang Chen, Ruixue Chen, Ruiying Chen, Rujun Chen, Runfeng Chen, Runsen Chen, Runsheng Chen, Ruofan Chen, Ruohong Chen, Ruonan Chen, Ruoyan Chen, Ruoying Chen, S Chen, S N Chen, S Pl Chen, S-D Chen, Sai Chen, San-Yuan Chen, Sean Chen, Sen Chen, Shali Chen, Shan Chen, Shanchun Chen, Shang-Chih Chen, Shang-Hung Chen, Shangduo Chen, Shangsi Chen, Shangwu Chen, Shangzhong Chen, Shanshan Chen, Shanyuan Chen, Shao-Ke Chen, Shao-Peng Chen, Shao-Wei Chen, Shao-Yu Chen, Shao-long Chen, Shaofei Chen, Shaohong Chen, Shaohua Chen, Shaokang Chen, Shaokun Chen, Shaoliang Chen, Shaotao Chen, Shaoxing Chen, Shaoze Chen, Shasha Chen, She Chen, Shen Chen, Shen-Ming Chen, Sheng Chen, Sheng-Xi Chen, Sheng-Yi Chen, Shengdi Chen, Shenghui Chen, Shenglan Chen, Shengnan Chen, Shengpan Chen, Shengyu Chen, Shengzhi Chen, Shi Chen, Shi-Qing Chen, Shi-Sheng Chen, Shi-Yi Chen, Shi-You Chen, Shibo Chen, Shih-Jen Chen, Shih-Pin Chen, Shih-Yin Chen, Shih-Yu Chen, Shilan Chen, Shiming Chen, Shin-Wen Chen, Shin-Yu Chen, Shipeng Chen, Shiqian Chen, Shiqun Chen, Shirui Chen, Shiuhwei Chen, Shiwei Chen, Shixuan Chen, Shiyan Chen, Shiyao Chen, Shiyi Chen, Shiyu Chen, Shou-Tung Chen, Shoudeng Chen, Shoujun Chen, Shouzhen Chen, Shu Chen, Shu-Fen Chen, Shu-Gang Chen, Shu-Hua Chen, Shu-Jen Chen, Shuai Chen, Shuai-Bing Chen, Shuai-Ming Chen, Shuaijie Chen, Shuaijun Chen, Shuaiyin Chen, Shuaiyu Chen, Shuang Chen, Shuangfeng Chen, Shuanghui Chen, Shuchun Chen, Shuen-Ei Chen, Shufang Chen, Shufeng Chen, Shuhai Chen, Shuhong Chen, Shuhuang Chen, Shuhui Chen, Shujuan Chen, Shuliang Chen, Shuming Chen, Shunde Chen, Shuntai Chen, Shunyou Chen, Shuo Chen, Shuo-Bin Chen, Shuoni Chen, Shuqin Chen, Shuqiu Chen, Shuting Chen, Shuwen Chen, Shuyi Chen, Shuying Chen, Si Chen, Si-Ru Chen, Si-Yuan Chen, Si-Yue Chen, Si-guo Chen, Sien-Tsong Chen, Sifeng Chen, Sihui Chen, Sijia Chen, Sijuan Chen, Sili Chen, Silian Chen, Siping Chen, Siqi Chen, Siqin Chen, Sisi Chen, Siteng Chen, Siting Chen, Siyi Chen, Siyu Chen, Siyu S Chen, Siyuan Chen, Siyue Chen, Size Chen, Song Chen, Song-Mei Chen, Songfeng Chen, Suet N Chen, Suet Nee Chen, Sufang Chen, Suipeng Chen, Sulian Chen, Suming Chen, Sun Chen, Sung-Fang Chen, Suning Chen, Sunny Chen, Sy-Jou Chen, Syue-Ting Chen, Szu-Chi Chen, Szu-Chia Chen, Szu-Chieh Chen, Szu-Han Chen, Szu-Yun Chen, T Chen, Tai-Heng Chen, Tai-Tzung Chen, Tailai Chen, Tan-Huan Chen, Tan-Zhou Chen, Tania Chen, Tao Chen, Tian Chen, Tianfeng Chen, Tianhang Chen, Tianhong Chen, Tianhua Chen, Tianpeng Chen, Tianran Chen, Tianrui Chen, Tiantian Chen, Tianzhen Chen, Tielin Chen, Tien-Hsing Chen, Ting Chen, Ting-Huan Chen, Ting-Tao Chen, Ting-Ting Chen, Tingen Chen, Tingtao Chen, Tingting Chen, Tom Wei-Wu Chen, Tong Chen, Tongsheng Chen, Tse-Ching Chen, Tse-Wei Chen, TsungYen Chen, Tuantuan Chen, Tzu-An Chen, Tzu-Chieh Chen, Tzu-Ju Chen, Tzu-Ting Chen, Tzu-Yu Chen, Tzy-Yen Chen, Valerie Chen, W Chen, Wai Chen, Wan Jun Chen, Wan-Tzu Chen, Wan-Yan Chen, Wan-Yi Chen, Wanbiao Chen, Wanjia Chen, Wanjun Chen, Wanling Chen, Wantao Chen, Wanting Chen, Wanyin Chen, Wei Chen, Wei J Chen, Wei Ning Chen, Wei-Cheng Chen, Wei-Cong Chen, Wei-Fei Chen, Wei-Hao Chen, Wei-Hui Chen, Wei-Kai Chen, Wei-Kung Chen, Wei-Lun Chen, Wei-Min Chen, Wei-Peng Chen, Wei-Ting Chen, Wei-Wei Chen, Wei-Yu Chen, Wei-xian Chen, Weibo Chen, Weican Chen, Weichan Chen, Weicong Chen, Weihao Chen, Weihong Chen, Weihua Chen, Weijia Chen, Weijie Chen, Weili Chen, Weilun Chen, Weina Chen, Weineng Chen, Weiping Chen, Weiqin Chen, Weiqing Chen, Weirui Chen, Weisan Chen, Weitao Chen, Weitian Chen, Weiwei Chen, Weixian Chen, Weixin Chen, Weiyi Chen, Weiyong Chen, Wen Chen, Wen-Chau Chen, Wen-Jie Chen, Wen-Pin Chen, Wen-Qi Chen, Wen-Tsung Chen, Wen-Yi Chen, Wenbiao Chen, Wenbing Chen, Wenfan Chen, Wenfang Chen, Wenhao Chen, Wenhua Chen, Wenjie Chen, Wenjun Chen, Wenlong Chen, Wenqin Chen, Wensheng Chen, Wenshuo Chen, Wentao Chen, Wenting Chen, Wentong Chen, Wenwen Chen, Wenwu Chen, Wenxi Chen, Wenxing Chen, Wenxu Chen, Willian Tzu-Liang Chen, Wu-Jun Chen, Wu-Xian Chen, Wuyan Chen, X Chen, X R Chen, X Steven Chen, Xi Chen, Xia Chen, Xia-Fei Chen, Xiaguang Chen, Xiameng Chen, Xian Chen, Xian-Kai Chen, Xianbo Chen, Xiancheng Chen, Xianfeng Chen, Xiang Chen, Xiang-Bin Chen, Xiang-Mei Chen, XiangFan Chen, Xiangding Chen, Xiangjun Chen, Xiangli Chen, Xiangliu Chen, Xiangmei Chen, Xiangna Chen, Xiangning Chen, Xiangqiu Chen, Xiangyu Chen, Xiankai Chen, Xianmei Chen, Xianqiang Chen, Xianxiong Chen, Xianyue Chen, Xianze Chen, Xianzhen Chen, Xiao Chen, Xiao-Chen Chen, Xiao-Hui Chen, Xiao-Jun Chen, Xiao-Lin Chen, Xiao-Qing Chen, Xiao-Quan Chen, Xiao-Wei Chen, Xiao-Yang Chen, Xiao-Ying Chen, Xiao-chun Chen, Xiao-he Chen, Xiao-ping Chen, Xiaobin Chen, Xiaobo Chen, Xiaochang Chen, Xiaochun Chen, Xiaodong Chen, Xiaofang Chen, Xiaofen Chen, Xiaofeng Chen, Xiaohan Chen, Xiaohong Chen, Xiaohua Chen, Xiaohui Chen, Xiaojiang S Chen, Xiaojie Chen, Xiaojing Chen, Xiaojuan Chen, Xiaojun Chen, Xiaokai Chen, Xiaolan Chen, Xiaole L Chen, Xiaolei Chen, Xiaoli Chen, Xiaolin Chen, Xiaoling Chen, Xiaolong Chen, Xiaolu Chen, Xiaomeng Chen, Xiaomin Chen, Xiaona Chen, Xiaonan Chen, Xiaopeng Chen, Xiaoping Chen, Xiaoqian Chen, Xiaoqing Chen, Xiaorong Chen, Xiaoshan Chen, Xiaotao Chen, Xiaoting Chen, Xiaowan Chen, Xiaowei Chen, Xiaowen Chen, Xiaoxiang Chen, Xiaoxiao Chen, Xiaoyan Chen, Xiaoyang Chen, Xiaoyin Chen, Xiaoyong Chen, Xiaoyu Chen, Xiaoyuan Chen, Xiaoyun Chen, Xiatian Chen, Xihui Chen, Xijun Chen, Xikun Chen, Ximei Chen, Xin Chen, Xin-Jie Chen, Xin-Ming Chen, Xin-Qi Chen, Xinan Chen, Xing Chen, Xing-Lin Chen, Xing-Long Chen, Xing-Zhen Chen, Xingdong Chen, Xinghai Chen, Xingxing Chen, Xingyi Chen, Xingyong Chen, Xingyu Chen, Xinji Chen, Xinlin Chen, Xinpu Chen, Xinqiao Chen, Xinwei Chen, Xinyan Chen, Xinyang Chen, Xinyi Chen, Xinyu Chen, Xinyuan Chen, Xinyue Chen, Xinzhuo Chen, Xiong Chen, Xiqun Chen, Xiu Chen, Xiu-Juan Chen, Xiuhui Chen, Xiujuan Chen, Xiuli Chen, Xiuping Chen, Xiuxiu Chen, Xiuyan Chen, Xixi Chen, Xiyao Chen, Xiyu Chen, Xu Chen, Xuan Chen, Xuancai Chen, Xuanjing Chen, Xuanli Chen, Xuanmao Chen, Xuanwei Chen, Xuanxu Chen, Xuanyi Chen, Xue Chen, Xue-Mei Chen, Xue-Qing Chen, Xue-Xin Chen, Xue-Yan Chen, Xue-Ying Chen, XueShu Chen, Xuechun Chen, Xuefei Chen, Xuehua Chen, Xuejiao Chen, Xuejun Chen, Xueli Chen, Xueling Chen, Xuemei Chen, Xuemin Chen, Xueqin Chen, Xueqing Chen, Xuerong Chen, Xuesong Chen, Xueting Chen, Xueyan Chen, Xueying Chen, Xufeng Chen, Xuhui Chen, Xujia Chen, Xun Chen, Xuxiang Chen, Xuxin Chen, Xuzhuo Chen, Y Chen, Y D I Chen, Y Eugene Chen, Y M Chen, Y P Chen, Y S Chen, Y U Chen, Y-D I Chen, Y-D Ida Chen, Ya Chen, Ya-Chun Chen, Ya-Nan Chen, Ya-Peng Chen, Ya-Ting Chen, Ya-xi Chen, Yafang Chen, Yafei Chen, Yahong Chen, Yajie Chen, Yajing Chen, Yajun Chen, Yalan Chen, Yali Chen, Yan Chen, Yan Jie Chen, Yan Q Chen, Yan-Gui Chen, Yan-Jun Chen, Yan-Ming Chen, Yan-Qiong Chen, Yan-yan Chen, Yanan Chen, Yananlan Chen, Yanbin Chen, Yanfei Chen, Yanfen Chen, Yang Chen, Yang-Ching Chen, Yang-Yang Chen, Yangchao Chen, Yanghui Chen, Yangxin Chen, Yanhan Chen, Yanhua Chen, Yanjie Chen, Yanjing Chen, Yanli Chen, Yanlin Chen, Yanling Chen, Yanming Chen, Yann-Jang Chen, Yanping Chen, Yanqiu Chen, Yanrong Chen, Yanru Chen, Yanting Chen, Yanyan Chen, Yanyun Chen, Yanzhu Chen, Yanzi Chen, Yao Chen, Yao-Shen Chen, Yaodong Chen, Yaosheng Chen, Yaowu Chen, Yau-Hung Chen, Yaxi Chen, Yayun Chen, Yazhuo Chen, Ye Chen, Ye-Guang Chen, Yeh Chen, Yelin Chen, Yen-Chang Chen, Yen-Chen Chen, Yen-Cheng Chen, Yen-Ching Chen, Yen-Fu Chen, Yen-Hao Chen, Yen-Hsieh Chen, Yen-Jen Chen, Yen-Ju Chen, Yen-Lin Chen, Yen-Ling Chen, Yen-Ni Chen, Yen-Rong Chen, Yen-Teen Chen, Yewei Chen, Yi Chen, Yi Feng Chen, Yi-Bing Chen, Yi-Chun Chen, Yi-Chung Chen, Yi-Fei Chen, Yi-Guang Chen, Yi-Han Chen, Yi-Hau Chen, Yi-Heng Chen, Yi-Hong Chen, Yi-Hsuan Chen, Yi-Hui Chen, Yi-Jen Chen, Yi-Lin Chen, Yi-Ru Chen, Yi-Ting Chen, Yi-Wen Chen, Yi-Yung Chen, YiChung Chen, YiPing Chen, Yian Chen, Yibing Chen, Yibo Chen, Yidan Chen, Yiding Chen, Yidong Chen, Yiduo Chen, Yifa Chen, Yifan Chen, Yifang Chen, Yifei Chen, Yih-Chieh Chen, Yihao Chen, Yihong Chen, Yii-Der Chen, Yii-Der I Chen, Yii-Derr Chen, Yii-der Ida Chen, Yijiang Chen, Yijun Chen, Yike Chen, Yilan Chen, Yilei Chen, Yili Chen, Yilin Chen, Yiming Chen, Yin-Huai Chen, Ying Chen, Ying-Cheng Chen, Ying-Hsiang Chen, Ying-Jie Chen, Ying-Jung Chen, Ying-Lan Chen, Ying-Ying Chen, Yingchun Chen, Yingcong Chen, Yinghui Chen, Yingji Chen, Yingjie Chen, Yinglian Chen, Yingting Chen, Yingxi Chen, Yingying Chen, Yingyu Chen, Yinjuan Chen, Yintong Chen, Yinwei Chen, Yinzhu Chen, Yiru Chen, Yishan Chen, Yisheng Chen, Yitong Chen, Yixin Chen, Yiyin Chen, Yiyun Chen, Yizhi Chen, Yong Chen, Yong-Jun Chen, Yong-Ping Chen, Yong-Syuan Chen, Yong-Zhong Chen, YongPing Chen, Yongbin Chen, Yongfa Chen, Yongfang Chen, Yongheng Chen, Yonghui Chen, Yongke Chen, Yonglu Chen, Yongmei Chen, Yongming Chen, Yongning Chen, Yongqi Chen, Yongshen Chen, Yongshuo Chen, Yongxing Chen, Yongxun Chen, You-Ming Chen, You-Xin Chen, You-Yue Chen, Youhu Chen, Youjia Chen, Youmeng Chen, Youran Chen, Youwei Chen, Yu Chen, Yu-Bing Chen, Yu-Cheng Chen, Yu-Chi Chen, Yu-Chia Chen, Yu-Chuan Chen, Yu-Fan Chen, Yu-Fen Chen, Yu-Fu Chen, Yu-Gen Chen, Yu-Han Chen, Yu-Hui Chen, Yu-Ling Chen, Yu-Ming Chen, Yu-Pei Chen, Yu-San Chen, Yu-Si Chen, Yu-Ting Chen, Yu-Tung Chen, Yu-Xia Chen, Yu-Xin Chen, Yu-Yang Chen, Yu-Ying Chen, Yuan Chen, Yuan-Hua Chen, Yuan-Shen Chen, Yuan-Tsong Chen, Yuan-Yuan Chen, Yuan-Zhen Chen, Yuanbin Chen, Yuanhao Chen, Yuanjia Chen, Yuanjian Chen, Yuanli Chen, Yuanqi Chen, Yuanwei Chen, Yuanwen Chen, Yuanyu Chen, Yuanyuan Chen, Yubin Chen, Yucheng Chen, Yue Chen, Yue-Lai Chen, Yuebing Chen, Yueh-Peng Chen, Yuelei Chen, Yuewen Chen, Yuewu Chen, Yuexin Chen, Yuexuan Chen, Yufei Chen, Yufeng Chen, Yuh-Lien Chen, Yuh-Ling Chen, Yuh-Min Chen, Yuhan Chen, Yuhang Chen, Yuhao Chen, Yuhong Chen, Yuhui Chen, Yujie Chen, Yule Chen, Yuli Chen, Yulian Chen, Yulin Chen, Yuling Chen, Yulong Chen, Yulu Chen, Yumei Chen, Yun Chen, Yun-Ju Chen, Yun-Tzu Chen, Yun-Yu Chen, Yundai Chen, Yunfei Chen, Yunfeng Chen, Yung-Hsiang Chen, Yung-Wu Chen, Yunjia Chen, Yunlin Chen, Yunn-Yi Chen, Yunqin Chen, Yunshun Chen, Yunwei Chen, Yunyun Chen, Yunzhong Chen, Yunzhu Chen, Yupei Chen, Yupeng Chen, Yuping Chen, Yuqi Chen, Yuqin Chen, Yuqing Chen, Yuquan Chen, Yurong Chen, Yushan Chen, Yusheng Chen, Yusi Chen, Yuting Chen, Yutong Chen, Yuxi Chen, Yuxian Chen, Yuxiang Chen, Yuxin Chen, Yuxing Chen, Yuyan Chen, Yuyang Chen, Yuyao Chen, Z Chen, Zan Chen, Zaozao Chen, Ze-Hui Chen, Ze-Xu Chen, Zechuan Chen, Zemin Chen, Zetian Chen, Zexiao Chen, Zeyu Chen, Zhanfei Chen, Zhang-Liang Chen, Zhang-Yuan Chen, Zhangcheng Chen, Zhanghua Chen, Zhangliang Chen, Zhanglin Chen, Zhangxin Chen, Zhanjuan Chen, Zhao Chen, Zhao-Xia Chen, ZhaoHui Chen, Zhaojun Chen, Zhaoli Chen, Zhaolin Chen, Zhaoran Chen, Zhaowei Chen, Zhaoyao Chen, Zhe Chen, Zhe-Ling Chen, Zhe-Sheng Chen, Zhe-Yu Chen, Zhebin Chen, Zhehui Chen, Zhelin Chen, Zhen Bouman Chen, Zhen Chen, Zhen-Hua Chen, Zhen-Yu Chen, Zhencong Chen, Zhenfeng Chen, Zheng Chen, Zheng-Zhen Chen, Zhenghong Chen, Zhengjun Chen, Zhengling Chen, Zhengming Chen, Zhenguo Chen, Zhengwei Chen, Zhengzhi Chen, Zhenlei Chen, Zhenyi Chen, Zhenyue Chen, Zheping Chen, Zheren Chen, Zhesheng Chen, Zheyi Chen, Zhezhe Chen, Zhi Bin Chen, Zhi Chen, Zhi-Hao Chen, Zhi-bin Chen, Zhi-zhe Chen, Zhiang Chen, Zhichuan Chen, Zhifeng Chen, Zhigang Chen, Zhigeng Chen, Zhiguo Chen, Zhihai Chen, Zhihang Chen, Zhihao Chen, Zhiheng Chen, Zhihong Chen, Zhijian Chen, Zhijian J Chen, Zhijing Chen, Zhijun Chen, Zhimin Chen, Zhinan Chen, Zhiping Chen, Zhiqiang Chen, Zhiquan Chen, Zhishi Chen, Zhitao Chen, Zhiting Chen, Zhiwei Chen, Zhixin Chen, Zhixuan Chen, Zhixue Chen, Zhiyong Chen, Zhiyu Chen, Zhiyuan Chen, Zhiyun Chen, Zhizhong Chen, Zhong Chen, Zhongbo Chen, Zhonghua Chen, Zhongjian Chen, Zhongliang Chen, Zhongxiu Chen, Zhongzhu Chen, Zhou Chen, Zhouji Chen, Zhouliang Chen, Zhoulong Chen, Zhouqing Chen, Zhuchu Chen, Zhujun Chen, Zhuo Chen, Zhuo-Yuan Chen, ZhuoYu Chen, Zhuohui Chen, Zhuojia Chen, Zi-Jiang Chen, Zi-Qing Chen, Zi-Yang Chen, Zi-Yue Chen, Zi-Yun Chen, Zian Chen, Zifan Chen, Zihan Chen, Zihang Chen, Zihao Chen, Zihe Chen, Zihua Chen, Zijie Chen, Zike Chen, Zilin Chen, Zilong Chen, Ziming Chen, Zinan Chen, Ziqi Chen, Ziqing Chen, Zitao Chen, Zixi Chen, Zixin Chen, Zixuan Chen, Ziying Chen, Ziyuan Chen, Zoe Chen, Zongming E Chen, Zongnan Chen, Zongyou Chen, Zongzheng Chen, Zugen Chen, Zuolong Chen
articles
Xiaohua Chen, Huan Liu, Yurong Liu +16 more · 2026 · Molecular psychiatry · Nature · added 2026-04-24
Although immune-mediated diseases (IMDs) and major depressive disorder (MDD) commonly co-occur, the bidirectional relationship between them remains to be fully elucidated. Using data from the prospect Show more
Although immune-mediated diseases (IMDs) and major depressive disorder (MDD) commonly co-occur, the bidirectional relationship between them remains to be fully elucidated. Using data from the prospective UK Biobank cohort, we evaluated the bidirectional associations by time-varying Cox proportional hazards regression models and assessed shared genetic architecture using genome-wide association study summary statistics. Additionally, we employed collagen-induced arthritis (CIA) and chronic social defeat stress (CSDS) mouse models to investigate the relationship between rheumatoid arthritis (RA) and depression. Over 5,226,841 person-years of follow-up, 23,534 incident MDD cases were identified. The presence of any IMD was associated with higher MDD risk (hazard ratio [HR]: 1.95; 95% CI: 1.89-2.01). Conversely, 59,742 incident cases of IMD were documented. MDD was associated with increased IMD risk (HR: 1.47; 95% CI: 1.40-1.54). We observed significant global genetic correlations between IMDs and MDD (r Show less
📄 PDF DOI: 10.1038/s41380-026-03459-w
BDNF
Yunjung Jin, Kai Chen, Alexander Q Wixom +14 more · 2026 · Acta neuropathologica · Springer · added 2026-04-24
Lewy body dementia (LBD), encompassing dementia with Lewy bodies and Parkinson's disease dementia, is neuropathologically defined by neuronal accumulation of α-synuclein encoded by the SNCA gene. Gene Show more
Lewy body dementia (LBD), encompassing dementia with Lewy bodies and Parkinson's disease dementia, is neuropathologically defined by neuronal accumulation of α-synuclein encoded by the SNCA gene. Genetic risk factors strongly influence LBD susceptibility, including SNCA multiplication, particularly triplication, and the apolipoprotein E ε4 allele (APOE4), the strongest common genetic risk factor for LBD. While SNCA is predominantly expressed in neurons and APOE primarily in glial cells, how these genetic factors converge to impact neuronal vulnerability and regional pathology in the human brain remains poorly understood. Here, we applied spatial transcriptomics to postmortem temporal cortex tissue from LBD cases with SNCA triplication or different APOE genotypes, alongside age- and sex-matched controls, to map gene expression within intact cortical architecture. We identified layer 5 of the gray matter as a particularly vulnerable region, characterized by elevated SNCA expression, pronounced synaptic and metabolic dysregulation, and exacerbation of these alterations in APOE4 carriers. Reelin signaling emerged as a core Lewy body-associated pathway disrupted across cortical layers, validated in independent postmortem cohorts and human-induced pluripotent stem cell (iPSC)-derived cortical organoids. In contrast, white matter exhibited distinct molecular alterations, including disrupted myelination pathways, with APOE4 carriers showing increased myelin debris and glial responses compared with non-carriers. Cell-type deconvolution informed by single-nucleus RNA sequencing further revealed APOE4-associated impairments in neuronal vulnerability and intercellular communication. Together, these findings define spatially and cell-type-specific mechanisms through which SNCA dosage and APOE4 genotype impact LBD pathology, providing insight into regionally distinct disease processes and potential targets for genetically stratified therapeutic interventions. Show less
📄 PDF DOI: 10.1007/s00401-026-02981-z
APOE
Huanhuan Huang, Yetao Luo, Qi Huang +5 more · 2026 · BMC nursing · BioMed Central · added 2026-04-24
The COVID-19 pandemic has significantly disrupted educational style, potentially affecting the learning adaptation of nursing freshmen who are integral to the future nursing workforce. This study aime Show more
The COVID-19 pandemic has significantly disrupted educational style, potentially affecting the learning adaptation of nursing freshmen who are integral to the future nursing workforce. This study aimed to identify distinct subgroups of nursing freshmen based on their bioecological attributes related to learning adaptation during the pandemic. A multicenter, cross-sectional study was conducted of 1170 first-year nursing students from six higher education institutions in China. Learning adaptation, resilience, parental attachment, interaction anxiety, and mobile phone addiction, were investigated. Latent Profile Analysis (LPA) was utilized to identify distinct profiles. Descriptive statistics indicated a positive level of learning adaptation among participants, with an overall mean score of 3.51 ± 0.57. LPA revealed four distinct profiles: 'Struggling Learners' (5.47%), 'Moderate Engagers' (70.60%), 'Adaptable Strivers' (18.29%), and 'Optimal Adapters' (5.64%), which demonstrated significant differences in adaptation, resilience, parental attachment, interaction anxiety, and mobile phone addiction tendencies (P < 0.05). The study's findings emphasize the heterogeneity in learning adaptation among nursing freshmen and the importance of considering bioecological attributes when developing educational interventions during crisis. Recognizing these profiles can guide the development of targeted strategies to enhance student adaptation and academic achievement. Show less
📄 PDF DOI: 10.1186/s12912-025-04261-9
LPA
Qing Li, Shasha Zhu, Guanyu Chen +5 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden i Show more
Protocatechuic acid (PCA), a natural compound found in a variety of Chinese herbal medicines and plant foods, has been documented to inhibit atherosclerosis partially by reducing inflammation burden in arterial endothelial cells. Interestingly, in vitro studies showed that PCA at physiologically reachable concentrations does not affect inflammation burden in TNF-α-stimulated aortic endothelial cells, whereas it increases the content of exosomal miR-10b secreted by macrophages that have engulfed apoptotic cells (efferocytic macrophages). This study was aimed at investigating whether the in vivo anti-inflammatory effect of PCA in arterial endothelial cells was due to the uptake of efferocytic macrophage exosomal miR-10b. A transwell co-culture system of aortic endothelial cells with efferocytic macrophages was used to evaluate the effect of PCA on NF-κB-mediated inflammation in aortic endothelial cells. An inhibitor of exosome secretion, GW4869, was applied to confirm the role of exosomes played in the anti-inflammatory effect of PCA. The aortic endothelial cells were administrated with exosomes isolated from PCA-treated efferocytic macrophages or miR-10b mimic or antagomir to ascertain the role of miR-10b in downregulating inflammation effect of PCA. Bioinformatics analyses, loss-of- and gain-of-function assays and luciferase reporter gene assays were performed to identify targeting relationship between miR-10b and mitogen-activated protein kinase kinase kinase 7 (MAP3K7)/β-transducin repeat-containing protein (β-TrCP). Besides, Apoe PCA at physiologically reachable concentrations inhibited NF-κB-mediated inflammation in TNF-α-stimulated aortic endothelial cells co-cultured with efferocytic macrophages, in which treatment of GW4869 reversed this effect. Exosomes isolated from PCA-treated efferocytic macrophages inhibited inflammation and increased miR-10b levels in aortic endothelial cells. Mechanistically, exosomal miR-10b post-transcriptionally repressed MAP3K7 and β-TrCP, both of which promote NF-κB activation. Knockdown of Map3k7 and Btrc with siRNA in aortic endothelial cells abolished the inhibitory effects of exosomes isolated from PCA-treated efferocytic macrophages on NF-κB-mediated inflammation. Consistently, oral administration of PCA increased miR-10b level and inhibited Map3k7 and Btrc mRNA expression as well as inflammation in aortic endothelial cells in Apoe Our current findings suggest that PCA could transfer exosomal miR-10b from efferocytic macrophages to endothelial cells and thus inhibit NF-κB-mediated inflammation in arterial endothelial cells through repressing MAP3K7 and β-TrCP, two new targets of miR-10b. Show less
no PDF DOI: 10.1016/j.phymed.2026.157939
APOE
Donghui Zhu, Xiuxiu Chen · 2026 · Experimental gerontology · Elsevier · added 2026-04-24
This study aims to explore the shared transcriptomic features of caloric restriction (CR) and endurance exercise in skeletal muscle among older adults. As age increases, muscle atrophy gradually becom Show more
This study aims to explore the shared transcriptomic features of caloric restriction (CR) and endurance exercise in skeletal muscle among older adults. As age increases, muscle atrophy gradually becomes a common issue of functional decline in the elderly. Utilizing bioinformatics analysis, this research identified 101 overlapping differentially expressed genes (DEGs) involved in both CR and endurance exercise. These genes are primarily enriched in key biological pathways related to longevity, Apelin signaling, AMPK signaling, FoxO signaling, and cGMP-PKG signaling pathways. Additionally, we identified 10 key genes (such as LPL, PPARGC1A, and IGF1), 4 transcription factors (FOXC1, POU2F2, GATA2, and STAT3), and 4 microRNAs (miR-155-5p, miR-124-3p, miR-1-3p, and miR-16-5p) interacting with these genes. Drug-gene interaction analysis identified carotuximab as a compound with potential relevance for future investigation in the context of muscle aging. These findings provide new insights into the molecular mechanisms underlying muscle functional decline in the elderly and propose potential targets and drugs for intervention development. Show less
no PDF DOI: 10.1016/j.exger.2026.113083
LPL
Ting Fang, Xinyu Yang, Xiaoqing Deng +5 more · 2026 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Excessive fructose intake is strongly associated with metabolic diseases, with the carbohydrate response element-binding protein (ChREBP) playing a key role in its metabolism, particularly in renal tu Show more
Excessive fructose intake is strongly associated with metabolic diseases, with the carbohydrate response element-binding protein (ChREBP) playing a key role in its metabolism, particularly in renal tubules. However, the role of its active form, ChREBP-β, was previously unclear. In this study, ChREBP-β overexpression and ChREBP knockout mouse models were utilized to investigate the effects of excessive fructose intake in vivo. In addition, primary renal tubular epithelial cells from mice and human kidney-2 (HK2) cells were applied for further validation in vitro. We found that ChREBP-β leads to increased transcription to mediate endoplasmic reticulum stress and mitochondrial dysfunction, which ultimately impairs renal function. Our findings underscore the critical role of ChREBP-β in fructose-related renal disorders. Show less
📄 PDF DOI: 10.1096/fj.202600490R
MLXIPL
Luwen Hao, Xin Chen, Bo Qin · 2026 · Frontiers in cell and developmental biology · Frontiers · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is a genetically heterogeneous cardiac disorder characterized by unexplained left ventricular hypertrophy and represents a leading cause of morbidity and sudden cardi Show more
Hypertrophic cardiomyopathy (HCM) is a genetically heterogeneous cardiac disorder characterized by unexplained left ventricular hypertrophy and represents a leading cause of morbidity and sudden cardiac death, particularly in young adults and athletes. Early studies focused on morphological features, but advances in molecular genetics have shifted emphasis toward genetic diagnosis, mechanistic insights, and family-based management. Pathogenic variants in sarcomeric genes, especially Show less
📄 PDF DOI: 10.3389/fcell.2026.1741252
MYBPC3
Xiaoxiao Li, Yanyan Jiao, Zhongqiang Guo +4 more · 2026 · Acta psychologica · Elsevier · added 2026-04-24
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through c Show more
This study employed a latent profile analysis (LPA) to identify distinct subgroups of learned helplessness among Chinese breast cancer chemotherapy patients and examined influencing factors. Through convenience sampling, 260 breast cancer chemotherapy patients aged 18-74 years from a tertiary hospital in Henan Province were recruited between May 2024 and January 2025. Data were collected using a general demographic questionnaire, the Learned Helplessness Scale, the Brief Illness Perception Questionnaire, the Social Support Rating Scale, and the General Self-Efficacy Scale. An LPA was applied to classify learned helplessness patterns, followed by a multivariate logistic regression to determine the influencing factors. The latent profile analysis revealed three distinct profiles of learned helplessness among breast cancer patients undergoing chemotherapy: a "low helplessness-low hopelessness stable profile" (17.0%), a "moderate helplessness-moderate hopelessness fluctuating profile" (52.0%), and a "high helplessness-high hopelessness profile" (31.0%). The multivariable logistic regression revealed that age range 18-44 years, low monthly household income per capita, fatigue, and illness perception were significantly associated with the "high helplessness-high hopelessness profile" (P < 0.05). Conversely, the age range 45-59 years was significantly associated with the "moderate helplessness-moderate hopelessness fluctuating profile" (P < 0.001). Furthermore, experiencing ≤2 chemotherapy-related side effects, a higher level of perceived social support, and greater self-efficacy were significant predictors of membership in the "low helplessness-low hopelessness profile" (P < 0.05). Breast cancer chemotherapy patients were categorized into three distinct subgroups, which were influenced by age, income, fatigue, treatment side effects, illness perception, self-efficacy, and social support. Show less
no PDF DOI: 10.1016/j.actpsy.2026.106392
LPA
David Lukacsovich, Juan I Young, Lissette Gomez +8 more · 2026 · Research square · added 2026-04-24
Cognitive reserve (CR) refers to differences in the adaptability of cognitive processes that modify the impact of Alzheimer's disease (AD) pathology on cognitive performance. Currently there are no es Show more
Cognitive reserve (CR) refers to differences in the adaptability of cognitive processes that modify the impact of Alzheimer's disease (AD) pathology on cognitive performance. Currently there are no established blood-based biomarkers of CR in prodromal AD. In this study, we operationalize CR as memory reserve, defined as moderation (attenuation) of the CSF pTau181-memory association. DNA methylation (DNAm) integrates genetic and environmental influences and may capture biological processes that mitigate the impact of AD pathology on memory. We aimed to identify blood DNAm loci that moderate the association between cerebrospinal fluid (CSF) phosphorylated tau (pTau181) and memory in mild cognitive impairment (MCI). We also sought to determine if a DNAm-based signature of memory reserve predicts future memory decline. We analyzed 92 amyloid positive MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) with blood DNAm, CSF pTau181, and memory scores (PHC_MEM) collected at the same visit. We first regressed memory scores on covariates (age, sex, number of After removing CpGs with low variability, we identified 6 CpGs with suggestive significance for DNAm×pTau181 interaction ( Blood DNAm patterns that moderate the pTau-memory relationship capture biology underlying memory reserve involving synaptic, vascular, immune, and metabolic pathways, and can be summarized into an MRS that predicts longitudinal memory trajectories in MCI. These findings support blood DNAm as a promising, non-invasive biomarker of cognitive resilience to AD pathology. Show less
📄 PDF DOI: 10.21203/rs.3.rs-8369919/v1
APOE
Jing Xu, Ziyan He, Yaoxin Pan +2 more · 2026 · Biomaterials advances · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by excessive amyloid-β (Aβ) accumulation, neuroinflammation, and oxidative stress. Exosomes derived from human umbili Show more
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by excessive amyloid-β (Aβ) accumulation, neuroinflammation, and oxidative stress. Exosomes derived from human umbilical cord mesenchymal stem cells (hUC-MSC@Exo) represent promising nanoscale carriers for targeted drug delivery. In this study, Baicalein (Bac), a potent antioxidant and anti-inflammatory flavonoid, was encapsulated into hUC-MSC-derived exosomes (Exo@Bac) to enhance its therapeutic efficacy. The neuroprotective potential of Exo@Bac was evaluated in a rat model of Aβ1-42-induced AD. Rats received intraperitoneal injections of Bac, hUC-MSC@Exo, or Exo@Bac, and cognitive performance was assessed using the passive avoidance test and Morris water maze. Exo@Bac treatment significantly improved memory deficits and elevated brain-derived neurotrophic factor (BDNF) expression compared to controls. Histopathological analyses revealed reduced neuronal damage and apoptosis, alongside decreased Aβ1-42 deposition in Exo@Bac-treated rats. Furthermore, Exo@Bac enhanced antioxidant defense (increased SOD), attenuated pro-inflammatory cytokines (TNF-α, IL-6, IL-1β), and lowered lipid peroxidation (MDA). Mechanistically, Exo@Bac promoted AMPK phosphorylation while suppressing NF-κB p65 signaling, indicating modulation of both oxidative stress and neuroinflammatory pathways. These findings demonstrate that Exo@Bac acts as a nanotherapeutic agent capable of mitigating AD pathology, highlighting its potential as a novel strategy for Alzheimer's disease therapy. Show less
no PDF DOI: 10.1016/j.bioadv.2025.214619
BDNF alzheimer's disease drug delivery exosomes nanotherapeutics neurodegenerative disorder neuroinflammation oxidative stress
Mengshi Li, Yang Li, Lei Jiang +7 more · 2026 · Chinese medical journal · added 2026-04-24
📄 PDF DOI: 10.1097/CM9.0000000000003978
APOE
Boyu Wang, Yantao Li, Yake Wang +4 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Fat deposition plays a crucial role in regulating the production performance and meat quality of broilers. Although the heterogeneity of mammalian adipocytes has been extensively studied, research on Show more
Fat deposition plays a crucial role in regulating the production performance and meat quality of broilers. Although the heterogeneity of mammalian adipocytes has been extensively studied, research on the molecular mechanisms underlying differences in lipid droplet accumulation in avian adipocytes remains limited. This study confirmed a significant positive correlation (R Show less
📄 PDF DOI: 10.3390/ani16060885
LPL
Bin Ma, Jingjing Wang, Mengyuan Zhang +2 more · 2026 · BMC nursing · BioMed Central · added 2026-04-24
To evaluate the current status and latent profiles of caregiver self-care contributions for patients with chronic obstructive pulmonary disease (COPD) and examine the associations between demographic Show more
To evaluate the current status and latent profiles of caregiver self-care contributions for patients with chronic obstructive pulmonary disease (COPD) and examine the associations between demographic characteristics, health literacy, confidence in self-care contributions, family intimacy, and profile membership. We recruited 275 dyads of patients with COPD and their family caregivers from five tertiary hospitals between May and November 2022 using convenience sampling. Latent profile analysis (LPA) was used to identify distinct profiles of caregiver self-care contributions. Univariate analysis and multinomial logistic regression were subsequently conducted to examine associations between participant characteristics and profile membership. LPA identified four distinct profiles of caregiver self-care contributions: low-contributing, under-monitored, maintenance-prioritized, and high-contributing. Significant differences were observed across these profiles in terms of patients' symptom severity, exacerbation frequency, number of hospitalizations, caregivers' education levels, caregiving duration, health literacy, confidence in self-management contributions, and family intimacy using univariate analysis. Multinomial logistic regression analysis revealed that caregivers' education levels, caregiving duration, confidence in self-management contributions, and health literacy were significant predictors of profile membership. Caregiver self-care contributions for patients with COPD can be characterized by four distinct profiles, with caregivers' educational level, health literacy, and confidence in self-management identified as key factors associated with profile membership. Show less
📄 PDF DOI: 10.1186/s12912-026-04503-4
LPA
Chao Chen, Fang Lv · 2026 · British journal of hospital medicine (London, England : 2005) · added 2026-04-24
Lipoprotein(a) [Lp(a)] is recognized as a cardiovascular risk indicator; however, its connection to peripheral arterial disease (PAD) in individuals with type 2 diabetes mellitus (T2DM) is not well es Show more
Lipoprotein(a) [Lp(a)] is recognized as a cardiovascular risk indicator; however, its connection to peripheral arterial disease (PAD) in individuals with type 2 diabetes mellitus (T2DM) is not well established. This research seeks to explore how Lp(a) concentrations relate to the occurrence of PAD in T2DM patients. A retrospective analysis was conducted on 590 patients diagnosed with T2DM who were admitted to Hefei First People's Hospital from January 2022 to August 2024. Participants were grouped into tertiles according to their Lp(a) levels. The diagnosis of PAD was made using the ankle-brachial index (ABI), with an ABI <0.9 considered indicative of PAD. The association between Lp(a) concentrations and PAD was examined using multivariate logistic regression models, subgroup analyses, receiver operating characteristic (ROC) curves, and restricted cubic spline (RCS) plotting. Compared to lower Lp(a) levels, the group with higher Lp(a) levels exhibited a higher prevalence of PAD ( A significant correlation was observed between elevated Lp(a) levels and an increased risk of PAD in patients with T2DM. Show less
no PDF DOI: 10.31083/BJHM50381
LPA
Jie Yang, Jinghua Wang, Wenhui Chai +20 more · 2026 · Alzheimer's & dementia : the journal of the Alzheimer's Association · Wiley · added 2026-04-24
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive perfo Show more
Klotho is a longevity-associated protein with established neuroprotective properties. However, it is unclear how plasma klotho levels relate to Alzheimer's disease (AD) pathologies and cognitive performance. In this study, we examined the associations between plasma klotho levels and plasma biomarkers, as well as amyloid beta (Aβ) positron emission tomography (PET), tau PET, neurodegeneration, and cognition, in 354 older adults. Stratified association, interaction, and mediation analyses were conducted to elucidate apolipoprotein E (APOE) ε4-dependent relationships and potential underlying pathways. Higher plasma klotho levels were associated with lower AD-related biomarkers and cognitive decline in APOE ε4 carriers. Plasma klotho and APOE ε4 exhibited significant or marginal interactions with less abnormal changes in plasma phosphorylated tau217, glial fibrillary acidic protein, neurofilament light chain, Aβ PET, and cognition. These AD-related biomarkers mediated the protective effect of plasma klotho on cognitive function in APOE ε4 carriers. This study suggests that plasma klotho is an APOE ε4-dependent protective factor, which may attenuate AD-related pathology and improve cognitive performance. Show less
📄 PDF DOI: 10.1002/alz.71397
APOE
Zi-Han Lin, Zhaohui Wang, FenFen Wei +5 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Long-term alcohol consumption drives systemic damage through metabolites such as acetaldehyde, which trigger oxidative stress, inflammation, and gut dysbiosis. This study evaluated the protective effe Show more
Long-term alcohol consumption drives systemic damage through metabolites such as acetaldehyde, which trigger oxidative stress, inflammation, and gut dysbiosis. This study evaluated the protective effects of fermented red quinoa (FRQ) in an alcohol-exposed mouse model, with a focus on cognitive function. Male C57BL/6J mice were randomized into three groups for a 28-day study: a normal control, an alcohol-treated group gavaged with ethanol (1 mL/100 g·BW), and a group receiving the same ethanol dose co-administered with FRQ powder (human equivalent dose: 9 g/60 kg·BW). Our results demonstrated that fermentation with Lactobacillus kisonensis significantly increased the content of phenolic compounds (e.g., quercetin and veratric acid) in FRQ. FRQ intervention improved cognitive function, ameliorated synaptic structural impairment and blood-brain barrier disruption, and attenuated hepatic steatosis. The protective mechanisms involved three pathways: 1) The specific phenolic compounds in FRQ promoted alcohol metabolism by regulating ADH/ALDH activity, leading to reduced acetaldehyde levels. As a primary initiating pathway, this metabolic enhancement dominantly attenuated subsequent oxidative stress and inflammation, mitigating injury in the liver, brain, and colon. 2) It directly modulated AP-1 subunits (ΔFOSB/JUND), restored BDNF, and rebalanced the glutamate/GABA systems. 3) It regulated the gut-liver-brain axis by remodeling the gut microbiota (e.g., enriching butyrate-producing Butyricicoccus), reinforcing intestinal barrier integrity, and thereby suppressing systemic LPS translocation and inflammation. In conclusion, FRQ mitigates alcohol-induced cognitive and hepatic damage via multiple mechanisms, highlighting its promise as an integrative dietary intervention. Show less
no PDF DOI: 10.1016/j.foodres.2026.118547
BDNF alcohol consumption alcohol-induced cognitive impairment cognitive function fermented food gut dysbiosis hepatic steatosis inflammation
Tingting Chen, Hongxia He, Fei Huang +3 more · 2026 · PloS one · PLOS · added 2026-04-24
Intracerebral hemorrhage (ICH) is a devastating condition characterized by rapid onset, high rates of disability and mortality, and prolonged recovery. Dysregulated γ-aminobutyric acid type A receptor Show more
Intracerebral hemorrhage (ICH) is a devastating condition characterized by rapid onset, high rates of disability and mortality, and prolonged recovery. Dysregulated γ-aminobutyric acid type A receptor (GABAAR) signaling contributes to ICH-induced neurotoxicity, presenting a promising therapeutic target. To assess the neurorestorative effects of the GABAAR α1-selective partial positive allosteric modulator (PAM) CL218872 and the α5-selective negative allosteric modulator (NAM) MRK-016 on synaptic plasticity and neural repair following ICH. An ICH mouse model was constructed using collagenase IV, and ICH mice were administered the GABAAR modulators CL218872 or MRK-016. Differences in inflammation and neurological deficit score were compared between different groups of mice. Morphologic and functional changes in mouse neuronal cells were next determined by Nissl and Golgi-Cox staining. Synaptic structural changes in ICH mice were visualized by transmission electron microscopy, and changes in synaptic plasticity-related molecules were quantified to assess the effects of GABAAR modulators on synapses in ICH mice. Treatment with CL218872 resulted in a reduction in hemorrhage and improved neurobehavioral outcomes in ICH mice. Additionally, CL218872 mitigated inflammation by downregulating phospho-p65, IL-6 and TNF-α expression. Histological analysis revealed an increase in neuronal density, preservation of cell morphology, and enhanced synaptic connectivity following CL218872 treatment. Furthermore, synaptic structure was restored, and there was an upregulation of brain-derived neurotrophic factor (BDNF), growth-associated protein-43 (GAP-43), postsynaptic density protein 95 (PSD-95), and synaptophysin in ICH mice. However, treatment with MRK-016 yielded the opposite result. The GABAAR α1-selective PAM CL218872 exerts neuroprotective and neurorestorative effects in ICH, suggesting its therapeutic potential for ICH management. Show less
📄 PDF DOI: 10.1371/journal.pone.0345025
BDNF
Li Zhang, Yuting Wang, Wei Min Gao +8 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Coronary restenosis remains a major challenge following percutaneous coronary intervention (PCI), necessitating the development of effective stent-eluting drugs. Previous studies indicate that scutell Show more
Coronary restenosis remains a major challenge following percutaneous coronary intervention (PCI), necessitating the development of effective stent-eluting drugs. Previous studies indicate that scutellarin protects vascular endothelial cells and exhibits anti-thrombotic and anti-platelet effects. Notably, our prior research demonstrated that scutellarin specifically counteracts oxidative stress-driven endothelial dysfunction, a key initiating event in restenosis. This combined evidence strongly suggests its potential against in-stent restenosis (ISR). Therefore, this study explores the efficacy of scutellarin in preventing ISR after PCI. We investigated scutellarin, derived from Erigeron breviscapus, for its potential to prevent ISR following PCI. The efficacy and mechanism of scutellarin were evaluated using both in vivo and in vitro models. An experimental atherosclerosis model was established in APOE In APOE This study establishes the efficacy of scutellarin in mitigating ISR using two complementary in vivo models. Scutellarin-eluting stents in atherosclerotic minipigs overcome translational barriers through full interventional simulation. Furthermore, scutellarin inhibits VSMCs proliferation, migration and promotes autophagy-coordinated apoptosis by the coordinated downregulation of both the Pl3K/AKT and lKKs/NF-κB cascades.These findings highlight scutellarin as a promising candidate for next-generation bioactive stent coatings, bridging phytopharmacology and precision interventional cardiology. Show less
no PDF DOI: 10.1016/j.phymed.2026.157948
APOE
Huimin Huang, Fengying Ran, Jun Chen +4 more · 2026 · Archives of biochemistry and biophysics · Elsevier · added 2026-04-24
Apigenin is a bioactive flavonoid and widely found in herbs, fruits, and vegetables. Accumulated evidences have demonstrated the protective potential of apigenin on cardiovascular diseases, but its ro Show more
Apigenin is a bioactive flavonoid and widely found in herbs, fruits, and vegetables. Accumulated evidences have demonstrated the protective potential of apigenin on cardiovascular diseases, but its role in atherosclerosis remains unclear. Here, we aim to investigate the therapeutic effects of apigenin on atherosclerosis in vivo and explore the potential mechanism. ApoE Apigenin obviously reduced lesion areas in both en-face aortas and aortic root in HFD fed ApoE Apigenin alleviated atherosclerosis development by inhibiting macrophage foam cell formation via PPARγ-LXRα-ABCA1/ABCG1 pathway. Show less
no PDF DOI: 10.1016/j.abb.2026.110730
APOE
Yongmei Wu, Wenjing Xia, Yang Yang +18 more · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroup Show more
Anxiety and depression are highly comorbid mental health disorders with heterogeneous symptom patterns and poorly understood transdiagnostic mechanisms. This study aims to characterize latent subgroups, risk factors, and symptom-level interactions underlying depression-anxiety comorbidity across adolescents and adults in multi-ethnic Southwest China. The study included a total of 41,394 adolescents (aged 9-19) and 17,345 adults (aged 18-80). Adolescents were recruited using multistage stratified cluster sampling, whereas adults were recruited by convenience sampling. All participants completed a self-designed sociodemographic questionnaire, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7). Latent profile analysis identified subgroups, logistic regression analyzed risk/protective factors, and network analysis mapped symptom interactions and bridge nodes. This study found that three adolescent profiles emerged: high (11.66 %), moderate (31.95 %), and low/no depression-anxiety (56.39 %). Adults were classified into low/no comorbidity (90.63 %) and comorbid depression-anxiety (9.37 %). Risk factors for adolescents included female gender (OR = 2.77, 95 %CI: 2.55-3.00; OR = 1.59, 95 %CI: 1.52-1.67), higher grade levels (OR = 3.45, 95 %CI: 3.10-3.84; OR = 3.56, 95 %CI: 3.33-3.80), smoking (OR = 1.72, 95 %CI: 1.51-1.96; OR = 1.28, 95 %CI: 1.17-1.41),drinking (OR = 2.45, 95 %CI: 2.23-2.70; OR = 1.66, 95 %CI: 1.55-1.77), family instability (OR = 1.16, 95 %CI: 1.02-1.31; OR = 1.33, 95 %CI: 1.14-1.56) and "other" ethnic minority (OR = 1.15, 95 %CI: 1.04-1.26). For adults, female gender(OR = 1.68; 95 %CI: 1.44-1.97), living alone(OR = 1.37; 95 %CI: 1.14-1.65), poor self-rated health (OR = 0.13, 95 %CI: 0.11-0.15), and Dai ethnicity (OR = 0.70, 95 %CI: 0.49-0.96) predicted comorbidity. Network analysis revealed distinct bridge symptoms: adolescents in the high depression-anxiety group had five symptoms: depressed or sad mood (phq2), psychomotor agitation/retardation (phq8), nervousness or anxiety (gad1), restlessness (gad5), and irritable (gad6); however, adults with comorbidity had one symptom: afraid something will happen (gad7). This study identified three patterns of depression-anxiety comorbidity in adolescents and two in adults. Efforts should prioritize adolescents from "other" ethnic minorities, strengthening family and peer support, as well as smoking and drinking interventions for adolescents, and addressing social isolation, physical health, and catastrophizing cognition in adults may mitigate the comorbidity burden. Show less
no PDF DOI: 10.1016/j.jad.2025.121112
LPA
Chunlong Wang, Yulong Hu, Junfei Chen +1 more · 2026 · Frontiers in physiology · Frontiers · added 2026-04-24
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HF Show more
This study investigated the effects of high-intensity intermittent training (HIIT) Forty male Sprague-Dawley rats were randomly divided into two groups: standard diet (C, n = 10) and high-fat diet (HFD, n = 30). After 8 weeks of HFD feeding, 24 obese rats were further randomised into three subgroups: HFD (H, n = 8), HFD + moderate-intensity training (HMT, n = 8), and HFD + HIIT (HHT, n = 8). The HMT and HHT groups underwent 8 week training interventions (six sessions/week). The HMT protocol included a 10 min warm-up (treadmill speed: 10 m/min), a 40 min moderate-intensity aerobic phase (60%-70% of maximum speed), and a 10 min recovery (10 m/min). The HHT protocol featured 10 min warm-up and recovery phases (10 m/min), with 40 min of alternating treadmill training: 3 min at 50% maximum speed followed by 3 min at 90% maximum speed. No significant differences in body weight were observed between the HHT and HMT groups. HHT rats displayed significantly lower plasma triglyceride levels than H and HMT rats. Compared with HMT, HHT reduced adipose mass and adipocyte size and increased mitochondrial succinate dehydrogenase and cytochrome c oxidase (COX) activities in adipose tissue. However, HHT rats displayed lower COX activity in visceral white adipose tissue than HMT rats. Training upregulated browning-related genes and uncoupling protein 1 (UCP1) in adipose tissue, with stronger effects in HHT than in HMT. Plasma and adipose tissue IL-27 levels, as well as p38 MAPK-PGC-1α signalling pathway activation, were significantly elevated in both training groups, with greater increases in HHT. HIIT promotes adipose tissue browning by activating the IL-27 signalling pathway and ameliorates obesity-associated metabolic disorders more effectively than MAIT, supporting its potential as a therapeutic strategy for obesity. Show less
📄 PDF DOI: 10.3389/fphys.2026.1745363
IL27
Ming Chen, Yuchi Zhang, Jingying Xu +7 more · 2026 · Biophysical chemistry · Elsevier · added 2026-04-24
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform Show more
Current in vitro enzyme inhibition assays often involve subjective data analysis based on the researcher's experience. In this study, we developed a multi-dimensional quantitative integration platform (MDQIP) that uses a model to objectively calculate and rank compound activities, addressing the limitations of traditional "experience-driven" evaluations, accelerates the screening and evaluation of potential AChE inhibitors from Red Gastrodia elata, offering a more efficient approach to drug discovery. Ultrafiltration-LC screening identified parishin A as having the most stable binding, with binding degree and recovery rates of 98.85% and 99.39%, respectively. Molecular docking revealed that parishins A and C were the strongest AChE inhibitors, exhibiting stable binding through hydrogen bonds, π-alkyl, and π-π interactions. Molecular dynamics simulations confirmed the stability of these compounds, with binding energies of -82.65 ± 4.24 and - 80.69 ± 4.19 kcal/mol. Enzyme kinetics showed that parishins A and C are mixed-type inhibitors, with IC Show less
no PDF DOI: 10.1016/j.bpc.2026.107617
BACE1
Sunjay Anekal, Ananya Tadikonda, Gabriel Sobczak +5 more · 2026 · The Laryngoscope · Wiley · added 2026-04-24
Unilateral vocal fold paralysis (UVFP) due to recurrent laryngeal nerve (RLN) injury is a common cause of dysphonia. No biotherapeutic injectable exists that directs laryngeal reinnervation after RLN Show more
Unilateral vocal fold paralysis (UVFP) due to recurrent laryngeal nerve (RLN) injury is a common cause of dysphonia. No biotherapeutic injectable exists that directs laryngeal reinnervation after RLN injury. Placental-derived connective tissue matrix (pd-CTM) could fill this need, as it contains a plethora of cytokines with potential UVFP therapeutic benefits. This study aimed to identify and quantify the factors in a commercially available pd-CTM (CTM Flow, CTM Biomedical, Lake Worth, Florida) and to study the effects of pd-CTM on vocal fold microenvironment and glottic function in a mouse model of unilateral RLN injury. Cytokine expression (ng/mL) in pd-CTM was characterized using a cytokine array and ELISA. In a separate experiment, C57/BL6 mice were divided into three groups: uninjured negative controls (n = 12), RLN transection with ipsilateral saline thyroarytenoid (TA) injection (n = 16), and RLN transection with ipsilateral pd-CTM TA injection. Outcomes included laryngeal electromyography (L-EMG) and video laryngoscopy after 7 and 28 days, with larynges then harvested and analyzed via immunohistochemistry (IHC) and qPCR. pd-CTM characterization showed moderate-to-high levels of neurotrophic (BDNF, CNTF, GDNF, NTF-3), angiogenic (Angiogenin, VEGF-D), tissue remodeling (bFGF, IGF-1, HGF, TGF-β3), and anti-inflammatory factors (IL-10, IL-1Rα). L-EMG demonstrated increased mean normalized area under the curve ratio in pd-CTM treated mice compared to saline treated mice at the 28-day time point indicating reinnervation (p < 0.001). IHC detected innervated neuromuscular junctions 28 days after pd-CTM treatment. pd-CTM may be a novel treatment option for patients with UVFP based on the neurotrophic, angiogenic, tissue remodeling, and anti-inflammatory factors present. NA. Show less
📄 PDF DOI: 10.1002/lary.70313
BDNF
Yuting Li, Pingchuan Zhang, Jun Guan +8 more · 2026 · Clinical genetics · Blackwell Publishing · added 2026-04-24
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the w Show more
To determine the prevalence of CHD7, FGFR1 and ANOS1 variants and the impacts of their splicing variants on mis-splicing in patients with congenital hypogonadotropic hypogonadism (CHH). Based on the whole-exome sequencing data from 280 CHH probands, we identified 15 potential splice-site variants in CHD7, ANOS1 and FGFR1 by using in silico software. The functional consequences of these variants were analyzed by the minigene assay or RT-PCR analyses of RNA taken from the peripheral lymphocytes. Detailed phenotyping was performed in the CHH patients harboring deleterious variants and their available family members. 11 out of 15 potential splice-site variants were demonstrated to cause mis-splicing, resulting in loss of function through deletion, insertion or frameshift of amino acids in the proteins. Most patients with deleterious splice-site variants in CHD7, ANOS1, FGFR1 presented with gene-specific non-reproductive phenotypes, confirming the pathogenic contribution of these variants to CHH. Our study indicated that splice-site variants in CHD7, ANOS1, FGFR1 underlie the genetic basis of ~3.9% of CHH patients, warranting the inclusion of potential splice-site variants for genetic diagnosis and counseling of CHH. Show less
no PDF DOI: 10.1111/cge.70114
FGFR1
Zhihao Zhao, Yutong Yang, Liu Zhang +12 more · 2026 · Scientific reports · Nature · added 2026-04-24
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don Show more
Pancreatic cancer (PC) is a common gastrointestinal malignancy whose initiation and progression may be closely linked to the gut microbiota. Previous research indicates that Scutellaria barbata D. Don and Scleromitrion diffusum (Willd.) R.J. Wang (SB-SD) exhibit diverse biological activities, such as anti-inflammatory, antioxidant, and antitumor effects, though their precise regulatory mechanisms are not fully elucidated. Here, we treated PC cells with SB-SD to assess its impact on cell viability, apoptosis, migration, and cell cycle progression, while Western blotting analyzed the expression of HSP90AA1, MAPK3, p53, CDK1, and p21. We also established a pancreatic cancer xenograft model in nude mice to evaluate the in vivo inhibitory effect of SB-SD on tumor growth. Furthermore, we employed metagenomic sequencing, untargeted metabolomics, and quantitative proteomics to comprehensively profile changes in the gut microbiota, serum metabolites, and differentially expressed proteins, with Western blotting subsequently validating BCKDK, GATM and p53 expression. The results show that SB-SD significantly inhibited PC cell proliferation, promoted apoptosis, and induced S/G2 phase cell cycle arrest, potentially via modulation of the HSP90AA1/MAPK3 signaling pathway. Measurements of tumor volume and weight, complemented by histopathological analysis, confirmed that SB-SD effectively suppressed the growth of PANC-1 xenograft tumors. Integrated multi-omics analyses suggest that the antitumor effects of SB-SD may involve the modulation of key gut microbes like Bacteroides caccae and Lactobacillus, the promotion of choline metabolism, and the regulation of BCKDK and GATM. Together, these findings not only corroborate the direct antitumor activity of SB-SD against pancreatic cancer but also offer novel mechanistic insights by constructing a microbiota-metabolite-protein interaction network. Show less
📄 PDF DOI: 10.1038/s41598-026-45676-x
BCKDK
Guomin Hu, Weijia Chen, Xiangyuan Zhou +4 more · 2026 · Life sciences · Elsevier · added 2026-04-24
Aerobic exercise reduces cardiovascular events in atherosclerosis, but the causal roles of microRNAs (miRNAs) in mediating exercise-induced vascular smooth muscle cell (VSMC) phenotypic switching and Show more
Aerobic exercise reduces cardiovascular events in atherosclerosis, but the causal roles of microRNAs (miRNAs) in mediating exercise-induced vascular smooth muscle cell (VSMC) phenotypic switching and plaque stabilization remains unclear. This study investigated whether aerobic exercise stabilizes atherosclerotic plaques by reprogramming VSMC miRNA expression, focusing on the miR-15a-5p/Semaphorin-3A (Sema3A) axis. High-fat diet-fed ApoE Exercise reduced plaque vulnerability, increased collagen content, reduced lipid content, and attenuated macrophage infiltration. Integrative miRNA profiling revealed that miR-15a-5p was markedly upregulated in atherosclerotic aortas but significantly suppressed by exercise locally and in circulation. In human carotid plaques, miR-15a-5p levels positively correlated with the plaque vulnerability index. Mechanistically, miR-15a-5p directly targeted the 3'-UTR of Sema3A, repressing its expression. VSMC-specific miR-15a-5p overexpression in vivo downregulated contractile markers, accelerated phenotypic switching, and destabilized plaques, such traits resembled those in cells from sedentary mice. Aerobic exercise stabilizes plaques by downregulating miR-15a-5p, relieving Sema3A repression and preserving the contractile VSMC phenotype. The miR-15a-5p/Sema3A signaling axis mediates exercise-induced atheroprotection. Notably, elevated miR-15a-5p levels in human carotid plaques correlate positively with plaque vulnerability, supporting its potential as an atherosclerotic therapeutic target. Show less
no PDF DOI: 10.1016/j.lfs.2026.124226
APOE
Jiayuan Fang, Shuo Zheng, Xunming Zhang +7 more · 2026 · Journal of advanced research · Elsevier · added 2026-04-24
Previous studies have reported that IGF-1 single nucleotide polymorphism is associated with milk fat traits, but they are limited to trait association analysis. We previously identified a synonymous m Show more
Previous studies have reported that IGF-1 single nucleotide polymorphism is associated with milk fat traits, but they are limited to trait association analysis. We previously identified a synonymous mutation c.258 A > G (rs322131043) in IGF-1, which influenced IGF-1 expression and caused differences in metabolism. This study aims to reveal a new regulatory function of IGF-1 c.258 A > G on milk fat metabolism. Livers transcriptomics was used to identify differentially expressed genes between wild type mice (WT) and IGF-1 c.258 A > G mice (Homozygous mutation, Ho). Subsequently, lipid phenotyping, followed by metabolomics of mammary glands was conducted to verify transcriptomic findings. Finally, the potential mechanisms underlying IGF-1 c.258 A > G-induced changes in milk fat metabolism were explored though integrated transcriptomics-metabolomics analysis and Western blot validation. IGF-1 c.258 A > G changed the expression of genes related to lipid metabolism in livers of 8-week-old mice, including a 10-fold ‌lipoprotein lipase (LPL) expression (P < 0.01) and ‌80-90 % downregulation of acyl-CoA thioesterase 3 (Acot3), enoyl-Coenzyme A delta isomerase 3 (Eci3), fatty acid synthase (FASN), and sterol regulatory element binding protein1 (SREBP1) expression (P < 0.01). The milk fat content of Ho dams on the second day of lactation (L2D) was decreased 50 % than that of WT dams (P < 0.05), although there was no significant difference in adipose tissue of 8-week-old WT/Ho mice. The levels of triglycerides, sphingolipids and their related fatty acyl chains (10:0, 26:0, 14:2, 20:4, 11:3, 19:0) in mammary glands of L2D Ho dams were reduced 10-50 % observed by lipid metabolomics. And combined with transcriptomics and Western blot, the data suggested that a ‌2.5-fold upregulation of LPL expression‌ (P < 0.05) may contribute to the milk fat metabolism changes mediated by the ‌ IGF-1 c.258 A > G. This study revealed new function of IGF-1 c.258 A > G on milk fat metabolism, thereby informing the development of targeted genetic breeding on milk fat trait. Show less
📄 PDF DOI: 10.1016/j.jare.2025.06.086
LPL
Eryan Yang, Yindan Wang, Wenxin Mao +8 more · 2026 · Experimental cell research · Elsevier · added 2026-04-24
Endometrial carcinoma (EC) is a common malignancy of the female reproductive system. Rab35 is widely recognized as an oncogenic driver and has been implicated in the progression of various malignant t Show more
Endometrial carcinoma (EC) is a common malignancy of the female reproductive system. Rab35 is widely recognized as an oncogenic driver and has been implicated in the progression of various malignant tumors. However, its regulatory mechanism and pathobiological roles in EC remain unclear. Rab35 expression in EC was systematically profiled via integrative analysis of clinical endometrial specimens and multi-omics databases (CPTAC and GEO). The association between clinical prognosis and Rab35 expression was examined using Kaplan-Meier analysis. Mechanistic investigations included transwell assays, western blotting, and immunofluorescence in Rab35-overexpressing and CRISPR/Cas9-mediated Rab35-knockout EC cells. A mouse xenograft tumor model was established to confirm the effects of Rab35 in vivo. The Rab35 content increased gradually from normal endometrium to atypical hyperplastic endometrium to EC. Moreover, the findings indicated that elevated Rab35 expression was significantly associated with advanced disease characteristics and poor overall survival in patients with EC. In addition, Rab35 enhanced the migratory and invasive nature of EC cells. The expression of Rab35 was inversely linked to that of the β-catenin destruction complex-related proteins Axin-1 and GSK3β, leading to the increased nuclear translocation of β-catenin in EC cells. Animal experiments further verified that Rab35 augmented EC progression by regulating the nuclear translocation of β-catenin. The study revealed that high expression of Rab35 was strongly correlated with EC progression and a poor clinical outcome. Furthermore, Rab35 promoted EC cell metastasis by accelerating the nuclear translocation of β-catenin. These findings suggest that Rab35 serves as a valuable biomarker and therapeutic target for EC. Show less
no PDF DOI: 10.1016/j.yexcr.2026.114950
AXIN1
Yanyan Liu, Yingchuan Sun, Ning Chen · 2026 · Journal of visualized experiments : JoVE · added 2026-04-24
Non-small cell lung cancer (NSCLC) is characterized by high morbidity and lethality, causing a great physical and psychological burden on patients. Therefore, effective treatment of NSCLC patients is Show more
Non-small cell lung cancer (NSCLC) is characterized by high morbidity and lethality, causing a great physical and psychological burden on patients. Therefore, effective treatment of NSCLC patients is very important. This study analyzes the impact of a nursing intervention of case management combined with cognitive-behavioral therapy on anxiety and depression and quality of life in postoperative NSCLC patients. A single-center, non-randomized controlled study in which 80 NSCLC patients from the Hospital were enrolled from May 2023 to January 2024, and were categorized into case management (CM) and cognitive-behavioral therapy (CBT) groups depending on treatment modalities, with case management care in both groups, and cognitive-behavioral therapy care added to the CM combined with CBT (CC) group. The Hamilton anxiety scale (HAMA), Hamilton depression scale (HAMD), self-perception burden scale (SPBS), life qualities (QLQ-C30), neurotransmitter levels, and clinical effectiveness were primarily assessed in both groups post-treatment. Secondary outcomes included pain level (VAS score), nursing satisfaction, adverse events, and complications. After treatment, the indicators of both groups were significantly different from those of the pre-treatment. Post-treatment, the CC group demonstrated significantly lower scores than the CM group in HAMA (10.18 ± 2.10 vs. 16.04 ± 3.89), HAMD (11.94 ± 2.91 vs. 16.81 ± 3.19), and SPBS (25.52 ± 3.17 vs. 33.50 ± 5.61) (all P < 0.05). Conversely, the CC group showed significantly higher QLQ-C30 scores and levels of 5-hydroxytryptamine (5-HT) and brain-derived neurotrophic factor (BDNF). The nursing intervention of case management combined with cognitive behavioral therapy has a good improvement effect on the anxiety and depression status of NSCLC patients. It can improve the quality of life, which is worth promoting and using in the clinic. Show less
no PDF DOI: 10.3791/69622
BDNF anxiety case management cbt depression non-small cell lung cancer nursing intervention postoperative care
Ting Li, Ke Chen · 2026 · Journal of affective disorders · Elsevier · added 2026-04-24
Internalizing and externalizing behavior problems co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few studies have explored this heterogeneity and its de Show more
Internalizing and externalizing behavior problems co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few studies have explored this heterogeneity and its developmental mechanisms from a person-centered perspective. The primary aim of this study is to employ Latent Profile Analysis (LPA) and Latent Transition Analysis (LTA)-person-centered statistical approaches-to explore this underlying heterogeneity, uncover its dynamic developmental trajectories, and further examine the key factors that influence class membership and transitions. A sample of 2232 Chinese college students from three universities in Chongqing was assessed at two time points spaced ten months apart. Latent Profile Analysis (LPA) and Latent Transition Analysis (LTA) were conducted on measures of internalizing and externalizing problems. LPA revealed three distinct profiles for both internalizing problems ("Low-Risk/Well-Adapted", "Moderate-Risk/Affective-Distress", "High-Risk/Comorbid") and externalizing problems ("Well-Adapted", "Adaptation Difficulties", "Maladaptive") at T1, with similar structures at T2. LTA indicated high stability for the low- and high-risk internalizing profiles, but significant fluidity in the middle, with nearly half of the moderate-risk group transitioning to the high-risk profile. For externalizing problems, there was a pronounced shift toward the "Maladaptive" profile over time. Negative parental rearing and PWU were significant risk factors for adverse transitions, while positive parenting, self-transcendence values, and objective social support served as protective factors. Co-occurring internalizing and externalizing problems among Chinese college students are heterogeneous and dynamic. The moderate-risk group represents a critical target for early intervention. Modifiable ecological factors across family, individual, and technological domains significantly predict longitudinal trajectories, informing targeted prevention strategies. Show less
no PDF DOI: 10.1016/j.jad.2025.120957
LPA