👤 Sheng-Tien Li

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Also published as: Xiaofeng Li, Jiajia Li, Jingwen Li, Zhaolun Li, Litao Li, Ruyi Li, Xiaocun Li, Jianyu Li, Wanxin Li, Jinsong Li, Xinzhi Li, Guanqiao Li, Ying-Lan Li, Yulin Li, Zequn Li, Shaojian Li, Guang-Xi Li, Yubo Li, Bugao Li, Mohan Li, Yan-Xue Li, Qingchao Li, Xikun Li, Enhong Li, Guobin Li, Hong-Tao Li, Xiangnan Li, Yong-Jun Li, Ziming Li, Hang Li, Rongqing Li, Xihao Li, Jing-Ming Li, Chang-Da Li, Meng-Yue Li, Yuanchang Li, DaZhuang Li, Yicun Li, Xiao-Lin Li, Zhao-Yang Li, Jiajie Li, Shunqin Li, Xinjia Li, K-L Li, Yaqiong Li, Bin Li, Yuan-hao Li, Jianhai Li, Youran Li, Peiwu Li, Yongmei Li, Changyu Li, Ran Li, Peilin Li, X Y Li, Chunshan Li, Yixiang Li, Ming Zhou Li, Ye Li, Guanglve Li, Z Li, Zili Li, Xinmei Li, Yihao Li, Liling Li, Qing Run Li, Wulan Li, Meng-Yang Li, Ziyun Li, Haoxian Li, Xiaozhao Li, Jun-Ying Li, Da-Lei Li, Xinhai Li, Yongjiang Li, Wanru Li, Jinming Li, Huihui Li, Wenhao Li, Qiankun Li, Kailong Li, Shengxu Li, Shisheng Li, Sai Li, Guangwen Li, Hua Li, Xiuli Li, Yulong Li, Dongmei Li, Ru-Hao Li, Lanzhou Li, Zhi-Peng Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Jiayang Li, Zunjiang Li, Chao Bo Li, Minglong Li, Donghua Li, Wenzhe Li, Siming Li, Fengli Li, Song Li, Zihan Li, Hsin-Hua Li, Jin-Long Li, Hongxin Li, Dongfeng Li, You Li, Caiyu Li, Xueyang Li, Xuelin Li, Fa-Hui Li, Zhen-Yuan Li, Guangpu Li, Teng Li, Wen-Jie Li, Ang Li, Hegen Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Bao Li, Yin Li, Cai-Hong Li, Fang Li, Jiuke Li, Miyang Li, Mingxu Li, Chen-Xi Li, Panlong Li, Changwei Li, Dejun Li, Biyu Li, Yufeng Li, Miaoxin Li, San-Feng Li, Yaoqi Li, Hu Li, Bei Li, Sha Li, W H Li, Jiaming Li, Jiyuan Li, Ya-Qiang Li, Rongkai Li, Yani Li, Xiushen Li, Xiaoqing Li, Jinlin Li, Linke Li, Shuaicheng Li, C Y Li, Thomas Li, Siting Li, Xuebiao Li, Yingyi Li, Yongnan Li, Maolin Li, Jiyang Li, Jinchen Li, Jin-Ping Li, Xuewen Li, Zhongxuan Li, R Li, Xianlong Li, Aixin Li, Linting Li, Zhong-Xin Li, Xuening Li, Enhao Li, Guang Li, Xiaoming Li, Shengliang Li, Z-H Li, Yongli Li, Baohong Li, Hujie Li, Yue-Ming Li, Shuyuan Li, Zhaohan Li, L Li, Yuanmei Li, Alexander Li, Yanwu Li, Wen-juan Li, Hualing Li, Sibing Li, Qinghe Li, Xining Li, Pilong Li, Yun-Peng Li, Zonghua Li, C X Li, Huanan Li, Jingya Li, Liqin Li, Youjun Li, Zheng-Dao Li, Zhenshu Li, Miao X Li, KeZhong Li, Heng-Zhen Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yuhui Li, Wei Li, Wen-Ying Li, Yaokun Li, Shuanglong Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Fei-feng Li, Letai Li, Ming Li, Kangli Li, Runwen Li, Wenbo Li, Yarong Li, Side Li, S E Li, Timmy Li, Weidong Li, Xin-Tao Li, Ruotong Li, Xiuzhen Li, Shuguang Li, Lingxi Li, Chuan-Hai Li, Qiuya Li, Jiezhen Li, Haitao Li, Tingting Li, Guanghua Li, Yufen Li, Zhongyu Li, Qin Li, Deyu Li, Zhen-Yu Li, Annie Li, Hansen Li, Wenge Li, Jinzhi Li, Xueren Li, Chun-Mei Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Xiao Li, Qintong Li, Junping Li, PeiQi Li, Naishi Li, Xiaobing Li, Liangdong Li, Xin-Ping Li, Yan Li, Han-Ni Li, Shengchao A Li, Pan Li, Jiaying Li, Jun-Jie Li, Ruonan Li, Cui-lan Li, Shuhao Li, Ruitong Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Chengquan Li, Suyan Li, Zexu Li, Gen-Lin Li, Dianjie Li, Zhilei Li, Junhui Li, Tiantian Li, Xue Cheng Li, Ya-Jun Li, Wenyong Li, Ding-Biao Li, Desen Li, Tianjun Li, Xiying Li, Yansong Li, Zihao Li, Weiyong Li, Xinyang Li, Fadi Li, Huawei Li, Yu-quan Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Jihua Li, Wenxue Li, Jingping Li, Zhiquan Li, Zeyu Li, Yingpu Li, Jianglin Li, Jing-Yao Li, Yan-Hua Li, Zongdi Li, Ming V Li, Shawn Shun-Cheng Li, Aowen Li, Xiao-Min Li, Wan Jie Li, L K Li, Ya-Ting Li, Aimin Li, Dongbiao Li, Tiehua Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Guohong Li, Chunyi Li, Botao Li, Xiuqi Li, Peiyun Li, L-Y Li, Qinglan Li, Zhenhua Li, Zhengda Li, Haotong Li, Yue-Ting Li, Luhan Li, Yuancong Li, Da Li, Yuxiu Li, Tian Li, YiPing Li, Beibei Li, Haipeng Li, Demin Li, Chuan Li, Ze-An Li, Changhong Li, Jianmin Li, Yvonne Li, Yu Li, Minhui Li, Yiwei Li, Xiangzhe Li, Zhichao Li, Jiayuan Li, Siguang Li, Minglun Li, Yige Li, Chengqian Li, Weiye Li, Xue-Min Li, Kenneth Kai Wang Li, Dong-fei Li, Xiangchun Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hailong Li, Hua-Zhong Li, Kun-Peng Li, Jiaomei Li, Haijun Li, Jing Li, Si Li, Xiangyun Li, Ji-Feng Li, Yingshuo Li, Wanqian Li, Baixing Li, Dengke Li, Zijing Li, Yuchuan Li, Wentao Li, Qingling Li, Rui-Han Li, Xuhong Li, Dong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Xiaoxia Li, Dezhi Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Sheng-Jie Li, Defa Li, Ying-Qing Li, X L Li, Yuyan Li, Kawah Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Zhenfei Li, Shupeng Li, Sha-Sha Li, Panyuan Li, Gang Li, Ziyu Li, Mengxuan Li, Hong-Wen Li, Zhuo Li, Han-Wei Li, Weina Li, Xiaojuan Li, Xiao-Hui Li, Dongnan Li, Huaiyuan Li, Rui-Fang Li, Jianzhong Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Bing Li, Pei-Ying Li, Huihuang Li, Yunmin Li, Shaobin Li, Yanying Li, Gui Lin Li, Ronald Li, Chenrui Li, Shi-Hong Li, Shilun Li, Xinyu Li, John Zhong Li, Lujiao Li, Song-Chao Li, Chenghong Li, Dengfeng Li, Nianfu Li, Baohua Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Zhimei Li, Jiao Li, Jun-Cheng Li, Yimeng Li, Jingming Li, Jinxia Li, Chunting Li, De-Tao Li, Shu Li, Julia Li, Chien-Feng Li, Huilan Li, Mei-Zhen Li, Xin-Ya Li, Zhengjie Li, Chunsheng Li, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Supeng Li, Lijun Li, Hening Li, Yiju Li, Yuanhe Li, Guangxiao Li, Fengxia Li, Peixin Li, Xueqin Li, Feng-Feng Li, Jialing Li, Zu-Ling Li, Xin Li, Yunjiu Li, Dayong Li, Zonghong Li, Ningyan Li, Lingjiang Li, Yuhan Li, Zhenghui Li, Fuyuan Li, Ailing Li, H-F Li, Chaochen Li, Chunxia Li, Zhen-Li Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Zhengying Li, Yali Li, Zhaoshui Li, Yu-Hui Li, Wenjing Li, Jingshu Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Han-Bo Li, Stephen Li, Shuangding Li, Kaiyuan Li, Mangmang Li, Zengyang Li, Chunyan Li, Runzhen Li, Xiaopeng Li, Xi-Hai Li, Xuezhong Li, MengGe Li, Anan Li, Luying Li, Jiajv Li, Pei-Lin Li, Xiaoquan Li, Ning Li, Ruobing Li, Wan-Xin Li, Yanxi Li, Xia Li, Meitao Li, Yongjing Li, Ziqiang Li, Huayao Li, Wen-Xi Li, Shenghao Li, Jiqing Li, Boxuan Li, Huixue Li, Hehua Li, Yucheng Li, Qingyuan Li, Yongqi Li, Fengqi Li, Zhigang Li, Yuqing Li, Guiyang Li, Guo-Qiang Li, Dujuan Li, Yanbo Li, Yuying Li, Shaofei Li, Sanqiang Li, Shaoguang Li, Hongyu Li, Min-Rui Li, Guangping Li, Shuqiang Li, Dan C Li, Huashun Li, Ganggang Li, Jinxin Li, Xinrong Li, Haoqi Li, Yayu Li, Handong Li, Huaixing Li, Yan-Nan Li, Xianglong Li, Minyue Li, Hong-Mei Li, Jing-Jing Li, Songhan Li, Jutang Li, Mengxia Li, Conglin Li, Qingli Li, Yongxiang Li, Miao Li, Songlin Li, Qilong Li, Dijie Li, Chenyu Li, Yizhe Li, Ke Li, Yan Bing Li, Jiani Li, Lianjian Li, Yiliang Li, Zhen-Hua Li, Chuan-Yun Li, Xinpeng Li, Hongxing Li, Wanyi Li, Gaoyuan Li, Youming Li, Mi Li, Dong-Yun Li, Qingrun Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Shuangfei Li, Fengfeng Li, Yumiao Li, Qinggang Li, Jiexi Li, Huixia Li, Kecheng Li, Xiangjun Li, Junxu Li, Xingye Li, Junya Li, Jiang Li, Huiying Li, Shengxian Li, Qingyang Li, Yuxi Li, Chenxuan Li, Xiao-Dong Li, Xinghuan Li, Zhaoping Li, Xingyu Li, Zhenlu Li, Xiaolei Li, Wenying Li, Huilong Li, Xiao-Gang Li, Honghui Li, Zhenhui Li, Cheung Li, Xuelian Li, Zhenming Li, Shu-Fen Li, Chunjun Li, Changyan Li, Mulin Jun Li, Yinghua Li, Shangjia Li, Yanjie Li, Jingjing Li, Suhong Li, Xinping Li, Chaoying Li, Siyu Li, Qiu Li, Juanjuan Li, Guangzhen Li, Xiangyan Li, Kunlun Li, Xiaoyu Li, Shiyun Li, Yaobo Li, Shiquan Li, Mei Li, Xuewang Li, Xiangdong Li, Zhenjia Li, Jifang Li, Wan Li, Manjiang Li, Zhizhong Li, Ding Yang Li, Xiaoya Li, Xiao-Li Li, Shan Li, Shitao Li, Zehan Li, Lijia Li, Huiliang Li, Chunqiong Li, Junjun Li, Chenlong Li, Shujin Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Weining Li, Wu-Jun Li, Chang-hai Li, Bin-Kui Li, Yuqiu Li, Yumao Li, Honglian Li, Xue-Yan Li, Ya-Zhou Li, Yuan-Yuan Li, Xiang-Jun Li, Hongyi Li, Y X Li, Chia Li, Yunyun Li, Zhen-Jia Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Qiuxuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, De-Jun Li, Junxian Li, Zhihua Li, Keqing Li, Shuwen Li, Saijuan Li, Minqi Li, Danxi Li, Lingjun Li, Mimi Li, Si-Xing Li, Deheng Li, Yingjie Li, Yaodong Li, Shigang Li, Yuan-Hai Li, Lujie Li, Minghao Li, Gao-Fei Li, Minle Li, Meifen Li, Yifeng Li, Le-Le Li, Huanqing Li, Ziwen Li, Yuhang Li, Yongqiu Li, Pu-Yu Li, Jianhua Li, Nan-Nan Li, Chanjuan Li, Hongming Li, Lan-Lan Li, Shuang Li, Yanchuan Li, Lingyi Li, Wanting Li, Bai-Qiang Li, Gong-Hua Li, Zhengyu Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Weiguang Li, Mingyao Li, Guoqing Li, Ze Li, Xiaomeng Li, R H L Li, Yuanze Li, Yunqi Li, Guisen Li, Yuandong Li, Jinglin Li, Dongyang Li, Mingfang Li, Honglong Li, Hanmei Li, Chenmeng Li, Changcheng Li, Shiyang Li, Shiyue Li, Jianing Li, Hanbo Li, Dingshan Li, Yinggao Li, Linlin Li, Xinsheng Li, Jin-Wei Li, Cheng-Tian Li, Jin-Jiang Li, Zhi-Xing Li, Chang Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Xuesong Li, Zhaosha Li, Jiwei Li, Yongzhen Li, Chun-Quan Li, Weifeng Li, Tao Li, Sichen Li, Wenhui Li, Xiankai Li, Qingsheng Li, Liangji Li, Yaxuan Li, Lixiang Li, Tian-wang Li, Yuchan Li, Jiaxi Li, Yalin Li, Jin-Liang Li, Pei-Zhi Li, Xiaoqiong Li, You Ran Li, Guanyu Li, Jinlan Li, Yixiao Li, Huizi Li, Jianping Li, Kathy H Li, Yun-Lin Li, Yadong Li, Sujing Li, Yuhua Li, Xuri Li, Wenzhuo Li, Y Li, Deqiang Li, Zipeng Li, Mingyue Li, Caixia Li, Hongli Li, Yun Li, Mengqiu Li, Ling-Ling Li, Yaqin Li, Yanfeng Li, Yu-He Li, Shasha Li, Xi Li, S-C Li, Siyi Li, Minmin Li, Manna Li, Chengwen Li, Dawei Li, Shu-Feng Li, Haojing Li, Xun Li, Ming-Jiang Li, Zhiyu Li, Sitao Li, Ziyang Li, Qian Li, Yaochen Li, Tinghua Li, Zhenfen Li, Wenyang Li, Bohao Li, Shuo Li, Wenming Li, Mingxuan Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Anqi Li, Shuai Li, Bingsong Li, Xiaoju Li, Zhenyu Li, Xiaonan Li, Ting Li, Xiang-Yu Li, Duan Li, Lei Li, Hongde Li, Fengqing Li, Na Li, Xunjia Li, Yanchang Li, Huibo Li, Ruixia Li, Nanzhen Li, Chuanfang Li, Bingjie Li, Hongxue Li, Pengsong Li, Ruotian Li, Xiaojing Li, Xinlin Li, Zong-Xue Li, Chunya Li, En-Min Li, Yan Ning Li, Honglin Li, Yu-Ying Li, Jinhua Li, Min-jun Li, Qian-Qian Li, Yuanheng Li, Chunxiao Li, Wenli Li, Shijun Li, Mengze Li, Kuan Li, Baoguang Li, Jie-Shou Li, Kaiwei Li, Zimeng Li, Mengmeng Li, W-B Li, Huangyuan Li, Lili Li, Binkui Li, Junxin Li, Yu-Sheng Li, Wei-Jun Li, Guoyan Li, Junjie Li, Fei-Lin Li, Nuomin Li, Shulin Li, Yanyan Li, Shanglai Li, Yue Li, Taibo Li, Junqin Li, Zhongcai Li, Jun-Ru Li, Xueying Li, JunBo Li, Zhaobing Li, Xiaoqi Li, Xiucui Li, Linxin Li, Haihua Li, Yu-Lin Li, Jen-Ming Li, Tsai-Kun Li, Chen-Chen Li, Shujing Li, Hongquan Li, Chuan F Li, Mengyun Li, Mingna Li, Yanxiang Li, Lanlan Li, Moyi Li, Yi-Wen Li, Xiyun Li, Rulin Li, Shihong Li, Ya-Pei Li, Huifeng Li, Lijuan Li, Shengbin Li, Yuanhong Li, Zhongjie Li, Zhenbei Li, Jingyu Li, Xuewei Li, Long Li, Shuangshuang Li, Min-Dian Li, Wenjia Li, Xiatian Li, Ding-Jian Li, Hongwei Li, Danni Li, Yangxue Li, Xiao-Qiang Li, Chengnan Li, Chuanyin Li, Min Li, Zhenzhou Li, Yiqiang Li, Pengyang Li, Kun-Xin Li, Xiawei Li, Binglan Li, Zesong Li, Yutong Li, Xiangpan Li, Mingfei Li, Shuwei Li, Yingnan Li, Ge Li, Mingdan Li, Xihe Li, Xinzhong Li, Jianfeng Li, Chenyao Li, Jun-Yan Li, Dexiong Li, Rongsong Li, Boru Li, Yinxiong Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Hong-Yu Li, Chuanning Li, Weijian Li, Changhui Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Dechao Li, Chunxing Li, Wenxia Li, Guoxiang Li, Ziru Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Man Li, Juxue Li, Weiqin Li, Xinming Li, Huayin Li, Xiao-yu Li, Jianyi Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Guowei Li, Chenglong Li, Xingya Li, Nan Li, Gongda Li, Yajun Li, Wei-Ping Li, Yipeng Li, Mingxing Li, Nanjun Li, Xin-Yu Li, Chunyu Li, P H Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Ranran Li, Long Shan Li, Suping Li, Yanze Li, Jason Li, Xiao-Feng Li, Fengjuan Li, W Li, Monica M Li, Xianlun Li, Qi Li, Hainan Li, Yutian Li, Xiaoli Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Fei Li, Xionghui Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Hongmei Li, Peilong Li, Kang Li, Yinghao Li, Xu-Wei Li, Mengsen Li, Lirong Li, Quanpeng Li, Wenhong Li, Audrey Li, Yijian Li, Yajiao Li, Guang Y Li, Xianyong Li, Qilan Li, Shilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Guang-Li Li, Cheng-Lin Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Yousheng Li, Wen-Ting Li, Guohua Li, Kezhen Li, Xingxing Li, Guoping Li, Ellen Li, A Li, Simin Li, Xue-Nan Li, Yijie Li, Weiguo Li, Xiaoying Li, Suwei Li, Shengsheng Li, Shuyu D Li, Jiandong Li, Ruiwen Li, Fangyong Li, Hong Li, Binru Li, Yuqi Li, Zihua Li, Yuchao Li, Hanlu Li, Xue-Peng Li, Jianang Li, Qing Li, Jiaping Li, Shihao Li, Yazhou Li, Jun-Ling Li, Caesar Z Li, Feng Li, Weiyang Li, Lang Li, Peihong Li, Jin-Mei Li, Lisha Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Cuicui Li, Xinxiu Li, Kaibo Li, Chongyi Li, Yi-Ying Li, Hanbing Li, Meng-Hua Li, Shaodan Li, Yongzheng Li, Da-Hong Li, J T Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Yaoyao Li, Mo Li, Yueguo Li, Ming-Hao Li, Donghe Li, Zheng Li, Congfa Li, Wenrui Li, Hongsen Li, Yong Li, Xiuling Li, Jingqi Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Zhiyong Li, Jianbo Li, Xing-Wang Li, Chong Li, Xiao-Kang Li, Hanqi Li, Fugen Li, Yangyang Li, Yuwei Li, Dongfang Li, Xiaochen Li, Zhuorong Li, Zizhuo Li, X-H Li, Xianrui Li, Dong Sheng Li, Lan-Juan Li, Zhigao Li, Chenlin Li, Zihui Li, Xiaoxiao Li, Guoli Li, Le-Ying Li, Pengcui Li, Xiaoman Li, Bing-Heng Li, Huanqiu Li, Zhan Li, Weisong Li, Xinglong Li, Xiaohong Li, Xiaozhen Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhiyang Li, Cunxi Li, Zhifei Li, Jinhui Li, Ying Li, Yanshu Li, Jianlin Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Longyu Li, Jinku Li, Guiying Li, X B Li, Changgui Li, Cuiling Li, Zhisheng Li, Xuekun Li, Yuguang Li, Wenke Li, Jiayi Li, Jianguo Li, En Li, Ximei Li, Shaoyong Li, Peihua Li, Kai-Wen Li, Suwen Li, Chang-Ping Li, Guangda Li, Yixue Li, Guandu Li, Junfeng Li, Xin-Chang Li, Jieming Li, Kongdong Li, Yue-Ying Li, Chunhui Li, Peiyu Li, Tongyao Li, Lian Li, Linfeng Li, Yuzhe Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Qifang Li, Xiaohua Li, Chang-Yan Li, Vivian Li, Duanxiang Li, Xiaolin Li, Meiting Li, Justin Li, Xue-Er Li, Zhuangzhuang Li, Xiaohui Li, Hongchang Li, Cang Li, Xuepeng Li, Mingjiang Li, Youwei Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Zongyu Li, Luquan Li, Shujie Li, Jianyong Li, Guoxing Li, Zongchao Li, Yanbin Li, Jia Li, Shiliang Li, Haimin Li, Qinrui Li, Sheng-Qing Li, Yiming Li, Lingjie Li, Xiao-Tong Li, Yiwen Li, Tie Li, Baoqi Li, Wei-Bo Li, Leyao Li, Xiaoyi Li, Xiao-Qin Li, Liyan Li, Xiaokun Li, Xinke Li, Ming-Wei Li, Wenfeng Li, Minzhe Li, Jiajing Li, Karen Li, Yanlin Li, X Li, Liao-Yuan Li, Meifang Li, Yanjing Li, Yongkai Li, Maosheng Li, Ju-Rong Li, Jin Li, Shibo Li, Hangwen Li, Li-Na Li, Hengguo Li, An-Qi Li, Xuehua Li, Hui Li, AnHai Li, Chenli Li, Rumei Li, Zhengrui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Yan-Yu Li, Vivian S W Li, Qinghua Li, Qinqin Li, Lipeng Li, Leilei Li, Defu Li, Ranchang Li, Lianyong Li, Amy Li, Zhou Li, Q Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Rongling Li, Zhu Li, Tong-Ruei Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Guangqiang Li, Jian'an Li, Ben Li, Sichong Li, Wenyi Li, Yingxia Li, Meiyan Li, Qing-Min Li, Yonghe Li, Yun-Da Li, Xinwei Li, Shunhua Li, Yu-I Li, Mingxi Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Qionghua Li, Guo-Li Li, Xingchen Li, Shen Li, Tianjiao Li, Ziqi Li, Yunfeng Li, Shufen Li, Gui-Rong Li, Yunpeng Li, Yueqi Li, Qiong Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Songyu Li, Xu Li, Pinghua Li, Shi-Fang Li, Shude Li, Yaxiong Li, Zhibin Li, Zhenli Li, Qing-Fang Li, Rosa J W Li, Yunxiao Li, Hsin-Yun Li, Shengwen Li, Gui-Bo Li, XiaoQiu Li, Xueer Li, Zhi Li, Zhankui Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Taixu Li, Mingzhou Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Zhijie Li, Cun Li, Huimin Li, Ruifang Li, T Li, Xiao-xu Li, Man-Xiang Li, Yinghui Li, Cong Li, Chengbin Li, Feilong Li, Yuping Li, Sin-Lun Li, Weiling Li, Mengfan Li, Jie Li, Shiyan Li, Lianbing Li, G Li, Yanchun Li, Xuze Li, Zhi-Yong Li, Yukun Li, Wenjian Li, Jialin Li, He Li, Bichun Li, Hanqin Li, Xiong Bing Li, Qingjie Li, Wen Lan Li, Guoge Li, Han Li, Wen-Wen Li, Keying Li, Yutang Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Hankun Li, Hongling Li, Xiangrui Li, Chaojie Li, Michelle Li, Caolong Li, Zhifan Li, J Li, Zhi-Jian Li, Jianwei Li, Yan-Guang Li, Jiexin Li, Hongyan Li, Ji-Min Li, Zhen-Xi Li, Guangdi Li, Peipei Li, Tian-Yi Li, Xiaxia Li, Yuefeng Li, Nien Li, Zhihao Li, Peiyuan Li, Yao Li, Zheyun Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Zhonglin Li, Fen Li, Lin Li, Jieshou Li, Chenjie Li, Jinfang Li, Roger Li, Yanming Li, Hong-Lan Li, Mengqing Li, Ben-Shang Li, S L Li, Ming-Kai Li, Shunqing Li, Xionghao Li, Lan Li, Menglu Li, Huiqing Li, Yantao Li, Yanwei Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Yongle Li, Ruolin Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Haying Li, Shao-Dan Li, Muzi Li, Yong-Liang Li, Gen Li, M Li, Dong-Ling Li, Chenwen Li, Jiehan Li, Yong-Jian Li, Le Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Ai-Qin Li, Si-Wei Li, Zichao Li, Manru Li, Caili Li, Yingxi Li, Yuqian Li, Guannan Li, Wei-Dong Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Wenlong Li, Ya-Feng Li, Yanjiao Li, Jia-Huan Li, Yuna Li, Xudong Li, Guoxi Li, Xingfang Li, Shengli Li, Shugang Li, Jisheng Li, Rongyao Li, Xuan Li, Yongze Li, Ru Li, Yongxin Li, Lu Li, Jiangya Li, Yiche Li, Yilang Li, Zhuo-Rong Li, Bingbing Li, Qinglin Li, Runzhi Li, Yunshen Li, Jingchun Li, Qi-Jing Li, Hexin Li, Yanping Li, H J Li, Zhenyan Li, Ji Xia Li, Meizi Li, Yu-Ye Li, Qing-Wei Li, Qiang Li, Yuezheng Li, Hsiao-Hui Li, Zhengnan Li, L I Li, Jianglong Li, Hongzheng Li, Laiqing Li, Ningyang Li, Zhongxia Li, Guangquan Li, Xiaozheng Li, Shun Li, Hui-Jun Li, Xuefei Li, Guojun Li, Hung Li, Senlin Li, Jinping Li, Huili Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Hongzhe K Li, Xiao-Qiu Li, Fulun Li, Jiejia Li, Yonghao Li, Mingli Li, Yehong Li, Zhihui Li, Yi-Yang Li, Fujun Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Ni Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Shichao Li, Gan Li, Chunliang Li, Ruiyang Li, Dapei Li, Zejian Li, Chun Li, Lihong Li, Jianan Li, Wenfang Li, Haixia Li, Sung-Chou Li, Xiangling Li, Lianhong Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Cheng Li, Kui Li, Zhao Li, Tiegang Li, Yunxu Li, Shuang-Ling Li, Zhong Li, Xiao-Long Li, Hung-Yuan Li, Xiaofei Li, Xuanfei Li, Zilin Li, Zhang Li, Jianxin Li, Mingqiang Li, Xiaojiao Li, H Li, Dongliang Li, Chenxiao Li, Yinzhen Li, Hongjia Li, Yunsheng Li, Xiao-Jing Li, Li-Min Li, Xiangqi Li, Jian Li, Y H Li, Jia-Peng Li, Baichuan Li, Daoyuan Li, Haibo Li, Wenqi Li, Zhenzhe Li, Xiao-Jun Li, Jian-Mei Li, Kaimi Li, Yan-Hong Li, Peiran Li, Shi Li, Xueling Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Conghui Li, Xiaoxiong Li, Wanni Li, Yike Li, Chitao Li, Yihan Li, Haiyang Li, Jiayu Li, Junsheng Li, Xiaobai Li, Pingping Li, Mingquan Li, Wen-Ya Li, Suran Li, Yunlun Li, Rongxia Li, Yuanfang Li, Yingqin Li, Guoqin Li, Qiner Li, Huiqin Li, Jiafang Li, Shanhang Li, Chunlin Li, Han-Bing Li, Zongzhe Li, Yikang Li, Jisen Li, Si-Yuan Li, Hongmin Li, Caihong Li, Yajing Li, Peng Peng Li, Guanglu Li, Kenli Li, Benyi Li, Yuquan Li, Xiushi Li, Hongzhi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Chengxin Li, Juanni Li, Xiaojiaoyang Li, C Li, Jian-Shuang Li, Xinxin Li, You-Mei Li, Chenglan Li, Dazhi Li, Yubin Li, Beixu Li, Yuhong Li, Fengqiao Li, Guiyuan Li, Di Li, Yanbing Li, Suk-Yee Li, Shengjie Li, Yuanyuan Li, Jufang Li, Xiaona Li, Shanyi Li, Hongbo Li, Chih-Chi Li, Xinhui Li, Zecai Li, Qipei Li, Xiaoning Li, Jun Li, Xiyue Li, Minghua Li, Zhuoran Li, Tianchang Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Mingzhe Li, Yi-Ling Li, Yingjian Li, Hongjuan Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Senmao Li, Cai Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Jingcheng Li, Ivan Li, Yaying Li, Mengshi Li, Liqun Li, Manxia Li, Ya Li, Changxian Li, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Chunqing Li, Jiong Li, Lai K Li, Yanni Li, Daiyue Li, Bingong Li, Huifang Li, Xiujuan Li, Yongsheng Li, Lingling Li, Chunxue Li, Yunlong Li, Xinhua Li, Jianshuang Li, Juanling Li, Minerva X Li, Xinbin Li, Alexander H Li, Xue-jing Li, Ding Li, Yuling Li, Wendeng Li, Xianlin Li, Yetian Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Shengze Li, Linyan Li, Ming-Yang Li, Jiequn Li, Zhongding Li, Hewei Li, Da-Jin Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xiao-kun Li, Xinyan Li, Yuanhao Li, Xiaoyun Li, Congcong Li, Ji-Lin Li, Yushan Li, Ping'an Li, Juan Li, Huan Li, Weiping Li, Changjiang Li, Chengping Li, G-P Li, He-Zhen Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Yinliang Li, Wen Li, Jinfeng Li, Shiheng Li, Hsiao-Fen Li, Jiangan Li, Yu-Kun Li, Weihai Li, Zhaojin Li, Mengjiao Li, Bingxin Li, Wenjuan Li, Wenyu Li, Meng-Meng Li, Tianxiang Li, Chia-Yang Li, Liangkui Li, Tian-chang Li, Hairong Li, Yahui Li, Su Li, Xi-Xi Li, Wenlei Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Haiyan Li, Ming D Li, Chenguang Li, Ruyue Li, Xujun Li, Chi-Ming Li, Xiaolian Li, Dandan Li, Yi-Ning Li, Yunan Li, Zhijun Li, Jiazhou Li, Sherly X Li, Zechuan Li, Wanling Li, Ya-Ge Li, Yinyan Li, Guangli Li, Qijun Li, Rujia Li, Zhiwei Li, Lixia Li, Xueshan Li, Yunrui Li, Yuhuang Li, Shanshan Li, Jiangbo Li, Xiaohan Li, Wan-Shan Li, Zhongwen Li, Huijie Li, W W Li, Yalan Li, Yiyang Li, Jing-gao Li, Fengxiang Li, Xuejun Li, Shunwang Li, Nana Li, Chao Li, Yaqing Li, Bingsheng Li, Yaqiao Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Xiaowei Li, Tianyao Li, Junming Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Hai-Yun Li, Haoran Li, Zhongxian Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, H-J Li, Chumei Li, Zhixiong Li, Shijie Li, Lingyan Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xuhang Li, Xiaochun Li, Chen-Lu Li, Xinjian Li, Jialun Li, Rui Li, Zilu Li, Xuemin Li, Zezhi Li, Sheng-Fu Li, Xue-Fei Li, Yudong Li, Shanpeng Li, Hongjiang Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Jingyun Li, Binghua Li, Xuyi Li, Hanjun Li, Yunchu Li, Jin-Qiu Li, Qihua Li, Zhengyao Li, Jiaxuan Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Guangjin Li, Lin-Feng Li, Xutong Li, Ranwei Li, Kai Li, Ziqing Li, Wei-Li Li, Keanning Li, Shuangxiu Li, Yongjin Li, Chenhao Li, Ling Li, Weizu Li, Deming Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Jiuyi Li, Chun-Xu Li, Luyao Li, Desheng Li, Weike Li, Zhixuan Li, Chuanbao Li, Long-Yan Li, Fuyu Li, Chuzhong Li, M D Li, Lingzhi Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Ling-Zhi Li, Hengtong Li, Yifan Li, Ya-Li Li, Xiao-Sa Li, Songyun Li, Xiaoran Li, Kunlin Li, Bolun Li, Linchuan Li, Jiachen Li, Haibin Li, Shu-Qi Li, Zehua Li, Huangbao Li, Guo-Chun Li, Xinli Li, Mengyuan Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Congye Li, Xinrui Li, Wensheng Li, Dehai Li, Jiannan Li, Qingshang Li, Guanbin Li, Hanbin Li, Zhiyi Li, Xing Li, Wanwan Li, Jia Li Li, Zhaoyong Li, SuYun Li, Shiyi Li, Wan-Hong Li, Mingke Li, Suchun Li, Xiaoyuan Li, Huanhuan Li, Yanan Li, Zongfang Li, Yang Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, BoWen Li, Duoyun Li, Yimei Li, Dongdong Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Zhi-qiang Li, Shaojing Li, S S Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Tong Li, Lihua Li, Yilong Li, Xue-Lian Li, Yan-Li Li, Zhiping Li, Haiming Li, Yansen Li, Gaijie Li, Zhi-Yuan Li, Hai Li, Yuemei Li, Yanli Li, Jingfeng Li, Yuan-Jing Li, Kaibin Li, Xuefeng Li, Wenjie Li, Xiaohu Li, Ruikai Li, Mengjuan Li, Xiao-Hong Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Qiyong Li, Ruixi Li, Yi Li, Baosheng Li, Zhonglian Li, Yujun Li, Mian Li, Dalin Li, Lixi Li, Jin-Xiu Li, Kun Li, Qizhai Li, Jiwen Li, Pengju Li, Peifeng Li, Zhouhua Li, Ai-Jun Li, Qingqin S Li, Honglei Li, Guojin Li, Yueting Li, Xin-Yue Li, Dingchen Li, YaJie Li, Xiaoling Li, Jixuan Li, Yanqing Li, Zijian Li, Zhandong Li, Xuejie Li, Peining Li, Meng-Jun Li, Congjiao Li, Gaizhen Li, Huilin Li, Liang Li, Songtao Li, Fusheng Li, Huafang Li, Dai Li, Meiyue Li, Chenlu Li, Keshen Li, Kechun Li, Nianyu Li, Yuxin Li, X-L Li, Shaoliang Li, Shawn S C Li, Shu-Xin Li, Hong-Zheng Li, Qun Li, Tianye Li, Cuiguang Li, Dongye Li, Zhen Li, Yuan Li, Chunhong Li, F Li, Mengling Li, Kunpeng Li, Jia-Da Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Baoqing Li, Pu Li, Xinle Li, Xingli Li, Bingkun Li, Nien-Chi Li, Wuguo Li, Tiewei Li, Bing-Hui Li, Daniel Tian Li, Rong-Bing Li, Honggang Li, Jingyong Li, Rong Li, Shikang Li, Wei-Yang Li, Mingkun Li, Binxing Li, Shi-Ying Li, Zixiao Li, Ming Xing Li, Guixin Li, Quanzhang Li, Ming-Xing Li, Marilyn Li, Da-wei Li, Shishi Li, Hong-Lian Li, Bei-Bei Li, Xiumei Li, Haitong Li, Melody M H Li, Ruibing Li, Yuli Li, Qingfang Li, Peibo Li, Qibing Li, Huanjun Li, Heng Li, Wende Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Xiao-Na Li, Tianyou Li, Jipeng Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Longxuan Li, Ka Wan Li, Huiyou Li, Shi-Guang Li, Wenxiu Li, Binbin Li, Xinyao Li, Zhuang Li, Yu-Hao Li, Gui-xing Li, Shilin Li, Niu Li, Shunle Li, Siyue Li, Diyan Li, Shili Li, Mengyao Li, Yixuan Li, Shan-Shan Li, Meiqing Li, Zhuanjian Li, Gerard Li, Yuyun Li, Hengyu Li, Zhiqiong Li, Yinhao Li, Zonglin Li, Pik Yi Li, Junying Li, Jingxin Li, Mufan Li, Chun-Lai Li, Defeng Li, Shiya Li, Zu-guo Li, Xin-Zhu Li, Xiao-Jiao Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Junhong Li, Youchen Li, Li Li, W Y Li, Hanxue Li, Lulu Li, Yi-Heng Li, Xiaoqin Li, L P Li, Runbing Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Yanmin Li, Ji-Cheng Li, Jingyi Li, Yuxiang Li, Haolong Li, Hao-Fei Li, Xuanzheng Li, Peng-li Li, Quan Li, Yining Li, Xue-Ying Li, Xiurong Li, Haiyu Li, Huijuan Li, Xu-Zhao Li, Yunze Li, Yanzhong Li, Guohui Li, Kainan Li, Yongzhe Li, Qingfeng Li, Tianyi Li, Xiaoyan Li, Nanlong Li, Ping Li, Xu-Bo Li, Nien-Chen Li, Fangzhou Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Yuanchuang Li, Haiying Li, Yunting Li, Xiaoxuan Li, Anyao Li, Hongliang Li, Qing-Chang Li, Shengbiao Li, Hong-Yan Li, Yue-Rui Li, Ruidong Li, Dalei Li, Zongjun Li, Y M Li, Changqing Li, Hanting Li, Dong-Jie Li, Dengxiong Li, Sijie Li, Xiaomin Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Yi-Shuan J Li, Tinghao Li, Zhouxiang Li, Qiuyan Li, Tingguang Li, Yun-tian Li, Jianliang Li, Xiangyang Li, Guangzhao Li, Yixi Li, Chunjie Li, Shuyu Dan Li, S A Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jinjie Li, Liming Li, Jie-Pin Li, Junyi Li, Kaiyi Li, Wenqun Li, Dongtao Li, Fengyuan Li, Guixia Li, Yinan Li, Aoxi Li, Zuo-Lin Li, Chenxi Li, Yuanjing Li, Zhengwei Li, Linqi Li, Xixi Li, Bingjue Li, Yan-Chun Li, Binghu Li, Suiyan Li, Yu-Hang Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Jia-Ru Li, Shuhui Li, Shu-Hong Li, Chun-Xiao Li, Pei-Qin Li, Shuyue Li, Mengying Li, Fangyan Li, Tongzheng Li, Quan-Zhong Li, Yihong Li, Yaxian Li, Duo Li, Dali Li, Zhiming Li, Xuemei Li, Hongxia Li, Yongting Li, Xueting Li, Danyang Li, Zhenjun Li, Ren Li, Tiandong Li, Lanfang Li, Hongye Li, Di-Jie Li, Mingwei Li, Bo Li, Jinliang Li, Wenxin Li, Qiji Li, W J Li, Zhijia Li, Zhipeng Li, Xiaoping Li, Jingtong Li, Linhong Li, Taoyingnan Li, Lucy Li, Lieyou Li, Zhengpeng Li, Xiayu Li, Huabin Li, Mao Li, Baolin Li, Cuilan Li, Yuting Li, Yongchao Li, Xiaobo Li, Xiaoting Li, Ruotai Li, Meijia Li, Shujiao Li, Yaojia Li, Xiao-Yao Li, Kun-Ping Li, Weirong Li, Weihua Li, Shangming Li, Yibo Li, Yaqi Li, Gui-Hua Li, Zhihong Li, Yandong Li, Runzhao Li, Chaowei Li, Xiang-Dong Li, Huiyuan Li, Yuchun Li, Yingjun Li, Xiufeng Li, Yanxin Li, Xiaohuan Li, Ying-Qin Li, Boya Li, Lamei Li, O Li, Fan Li, Jun Z Li, Joyce Li, Suheng Li, Yiheng Li, Taiwen Li, Hui-Ping Li, Xiaorong Li, Zhiqiang Li, Junru Li, Jiangchao Li, Hecheng Li, Changkai Li, Yueping Li, Haifeng Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Zhenglong Li, Yajuan Li, Xuanxuan Li, Rui-Jún Eveline Li, Bing-Mei Li, Chaoqian Li, Yunman Li, Shuhua Li, Yu-Cheng Li, Chunying Li, Yirun Li, Haomiao Li, Weiheng Li, Leipeng Li, Qianqian Li, Baizhou Li, YiQing Li, Zhengliang Li, Han-Ru Li, Wei-Qin Li, Weijie Li, Sheng Li, Guoyin Li, Yaqiang Li, Qingxian Li, Zongyi Li, Dan-Dan Li, Yeshan Li, Qiwei Li, Zirui Li, Yongpeng Li, Chengjun Li, Keke Li, 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articles
Yukang Mao, Tingting Wu, Yuer Jiang +3 more · 2026 · Obesity reviews : an official journal of the International Association for the Study of Obesity · Blackwell Publishing · added 2026-04-24
Obesity is a well-documented cardiovascular risk factor. Here, we sought to investigate whether obesity causes subclinical cardiac remodeling and heart failure (HF), and if so, to perform a systematic Show more
Obesity is a well-documented cardiovascular risk factor. Here, we sought to investigate whether obesity causes subclinical cardiac remodeling and heart failure (HF), and if so, to perform a systematic scan of the plasma protein for novel drug targets. We leveraged visceral adipose tissue (VAT), waist circumference (WC), and waist-to-hip ratio (WHR)-all adjusted for body mass index (BMI)-as indicators of obesity. Two-sample Mendelian randomization (MR) analyses were used to estimate the independent, causal effects of obesity on cardiovascular magnetic resonance (CMR)-derived cardiac traits and HF risk. Mediation analyses followed by druggability assessment were conducted to identify promising protein targets for therapeutic translation. Genetically determined VATadjBMI, WCadjBMI, and WHRadjBMI presented broad causal associations with alterations of distinct cardiac phenotypes, most of which remained significant after controlling for obesity-induced cardiometabolic risk factors, including hypertension, type 2 diabetes, and adverse lipid profiles. By contrast, WHRadjBMI is the only independent causal predictor for HF risk. Of 142 proteins with mediating effects, scavenger receptor class A member 5 (SCARA5), membrane cofactor protein (CD46), and alpha-1-antichymotrypsin (SERPINA3) may contribute to the early-stage adverse cardiovascular effect of obesity, whereas apolipoprotein C-III (APOC3), mitochondrial aldehyde dehydrogenase 2 (ALDH2), and chordin-like protein 2 (CHRDL2) may further promote the development of obesity-driven HF. Medications targeted at these candidate proteins are either approved or under evaluation in clinical trials. Our MR findings provided genetic evidence for the direct, causal associations of obesity with cardiac remodeling and HF, while also outlining druggable proteins as promising therapeutic targets. Show less
no PDF DOI: 10.1111/obr.70059
APOC3
Liwei Zhang, Guanyu Chen, Yuhai Bai +1 more · 2026 · Journal of liposome research · Taylor & Francis · added 2026-04-24
Atherosclerotic plaque instability is a direct cause of cardiovascular and cerebrovascular events. In this study, a mitochondria-targeted liposome (LIP), modified with triphenylphosphonium (TPP) to en Show more
Atherosclerotic plaque instability is a direct cause of cardiovascular and cerebrovascular events. In this study, a mitochondria-targeted liposome (LIP), modified with triphenylphosphonium (TPP) to enable specific mitochondrial delivery, was innovatively constructed to encapsulate a PCSK9 inhibitor (TPP-LIP@PCSK9). The aim was to explore a novel strategy for stabilizing plaques by restoring mitochondrial function in endothelial cells. Characterization results showed that TPP-LIP@PCSK9 possesses favorable nano-characteristics, and its targeting capability was confirmed through mitochondrial co-localization experiments. In an Apoe Show less
no PDF DOI: 10.1080/08982104.2026.2651190
APOE
Boteng Yan, Peijiang Pan, Wenfu Tao +2 more · 2026 · Current medicinal chemistry · Bentham Science · added 2026-04-24
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, with substantial unmet therapeutic needs. This study aimed to identify and prioritize genetically supported therapeutic ta Show more
Coronary artery disease (CAD) remains a leading cause of mortality worldwide, with substantial unmet therapeutic needs. This study aimed to identify and prioritize genetically supported therapeutic targets for CAD using Mendelian randomization (MR). We implemented a two-sample MR framework to infer the causal effects of blood druggable cis-expression quantitative trait loci (cis-eQTLs) on CAD. To consolidate MR findings, we applied Steiger filtering, Bayesian colocalization, and multiple sensitivity analyses. Mediation and phenomewide MR analyses were employed to investigate potential mechanisms and on-target effects of prioritized druggable genes. We identified 66 causal druggable genes associated with CAD in European populations (false discovery rate < 0.001). Among these, ERP29 (odds ratio [OR] = 1.311; 95% confidence interval [CI]: 1.176-1.460), MCL1 (OR = 0.877; 95% CI: 0.840-0.915), TNXB (OR = 1.183; 95% CI: 1.102-1.269), DAGLB, FES, and TRPM4 colocalized with CAD (posterior probability for colocalization > 0.8). The associations for ERP29, MCL1, and TNXB were replicated in an East Asian cohort. Protein-protein interaction network analysis highlighted MAPK3 and TNF as prioritized druggable targets at the protein level. Mediation analysis indicated that body mass index, triglycerides, blood pressure, and atrial fibrillation partially mediate the association between MAPK3 and CAD. Phenome-wide MR analysis further suggested additional beneficial effects of targeting MAPK3 and TNF on diabetes mellitus, obesity, hypertension, unstable angina, myocardial infarction, angina pectoris, coronary atherosclerosis, ischemic heart disease, and disorders of lipoid metabolism. This druggable genome-wide MR study not only corroborated the targets of FDA-approved CAD medications (e.g., FGFR1, MAPK3, NEU1) but also uncovered several novel genes, such as ERP29, MCL1, TNXB, DAGLB, FES, and TRPM4, implicating mechanisms related to blood pressure, lipid metabolism, and additional beneficial effects on endocrine/cardiometabolic traits and circulatory system disorders. Further exploration is imperative to explore their feasibility and generalizability. We identified circulating ERP29, MCL1, TNXB, DAGLB, FES, TRPM4, MAPK3, and TNF as promising, genetically supported druggable targets for CAD treatment. Notably, MAPK3 and TNF demonstrated strong protein-level interactions and close associations with cardiometabolic disorders. Show less
no PDF DOI: 10.2174/0109298673426660251215100614
FGFR1
Chen-Xi Li, Chuan-Fei Tan, Qi-Min Zhang +3 more · 2026 · Annals of nutrition & metabolism · added 2026-04-24
The global obesity epidemic necessitates therapies that enhance energy expenditure. Non-shivering thermogenesis (NST) in brown/beige adipose tissue represents a promising target, with fibroblast growt Show more
The global obesity epidemic necessitates therapies that enhance energy expenditure. Non-shivering thermogenesis (NST) in brown/beige adipose tissue represents a promising target, with fibroblast growth factor 21 (FGF21) emerging as a critical regulator linking environmental stimuli to adipose plasticity and mitochondrial function. However, the precise mechanisms of FGF21 secretion and its specific role in adipose tissue browning and subsequent NST potentiation remain incompletely elucidated. FGF21 regulates NST via distinct spatiotemporal mechanisms. Acute cold exposure triggers hepatic FGF21 secretion through a β FGF21 exhibits dual regulation: hepatic (acute lipid mobilization) and adipose-based (chronic browning); adipose-targeted FGF21 delivery is essential for therapeutic efficacy, and future studies should integrate FGF21 with UCP1-independent pathways (e.g., creatine/succinate cycles) to advance obesity treatment. Show less
no PDF DOI: 10.1159/000548868
FGFR1
Lechi Zhang, Zhihang Xiao, Chunya Xia +6 more · 2026 · Communications biology · Nature · added 2026-04-24
Spinal cord injury (SCI) represents significant central nervous system trauma and has consistently been a focal point of research in the domain of neural regeneration and repair. Currently, there is n Show more
Spinal cord injury (SCI) represents significant central nervous system trauma and has consistently been a focal point of research in the domain of neural regeneration and repair. Currently, there is no effective treatment available. Various modalities of magnetic stimulation have emerged for recovery from spinal cord injuries; however, the underlying mechanisms remain unclear, significantly hindering the application of magnetic stimulation technologies in treating such injuries. This study aims to elucidate these relevant mechanisms by establishing a simulated closed-loop magnetic stimulation system. In this study, we established a right hemisection model at T8 in mice and administered continuous simulated closed-loop magnetic stimulation targeting the left motor cortex and right L5 nerve root over six weeks. We subsequently utilized a spinal cord dorsal hemisection model to examine regeneration of the corticospinal tract (CST). Motor-evoked potential assessments and calcium imaging techniques were employed to explore neural circuit repair. Additionally, we integrated transcriptomics, proteomics, and metabolomics approaches to investigate related mechanisms. The findings indicate that simulated closed-loop magnetic stimulation effectively restores motor function in the hind limbs, promotes the regeneration of corticospinal tracts in mice with spinal cord injuries, and facilitates the reconstruction of sensorimotor circuits and functions within the spinal cord. Simulated closed-loop magnetic stimulation significantly enhances axonal regeneration of the CST following SCI. This effect may be mediated through the activation of the AMPK-CREB-BDNF signaling pathway, which promotes neurotrophic factor secretion and subsequently induces nerve axon regeneration. This study suggests that simulated closed-loop magnetic stimulation represents a promising therapeutic approach for the treatment for impaired gait following SCI. Show less
no PDF DOI: 10.1038/s42003-026-09848-9
BDNF axonal regeneration central nervous system function recovery magnetic stimulation neural regeneration spinal cord injury trauma
Yaqun Fang, Zhiye Zhang, Qiqi Cao +20 more · 2026 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context Show more
ApoB (apolipoprotein B)-containing lipoproteins are causal risk factors for atherosclerotic coronary artery disease (CAD). Since human cathelicidin LL-37 binds to ApoB-100 in this pathological context, we investigated whether the circulating LL-37-ApoB-100 complex could serve as a biomarker for CAD. We performed surface plasmon resonance and protein-protein docking to demonstrate the direct LL-37-ApoB-100 interaction. We developed a specific polyclonal antibody against the complex and measured its levels in human atherosclerotic plaques and plasma, as well as in We identified that LL-37 directly interacted with multiple distinct binding sites on ApoB-100. Plasma levels of LL-37-ApoB-100 complex were significantly elevated in human patients with atherosclerosis. Consistently, levels of this complex were positively correlated with atherosclerotic plaque area in Circulating LL-37-ApoB-100 levels are strongly associated with angiographically documented CAD, highlighting LL-37-ApoB-100 as an independent predictor for CAD. Show less
no PDF DOI: 10.1161/ATVBAHA.125.323486
APOB
Zhikang Cui, Guixia Li, Shuyong Wei +9 more · 2026 · Neural regeneration research · added 2026-04-24
Alzheimer's disease is a common neurodegenerative disease characterized by progressive memory loss, cognitive decline, and behavioral changes. Blood-based biomarkers have recently gained significant a Show more
Alzheimer's disease is a common neurodegenerative disease characterized by progressive memory loss, cognitive decline, and behavioral changes. Blood-based biomarkers have recently gained significant attention due to their accessibility and cost-effectiveness. This review highlights the latest progress in multiple key areas of bloodbased biomarkers for Alzheimer's disease. For early diagnosis, blood-based biomarkers such as amyloid-β and phosphorylated tau can identify Alzheimer's disease even before clinical symptoms emerge. Dynamic changes in blood-based biomarkers, including p-tau217 and neurofilament light chain, reflect disease progression and correlate with cognitive decline, enabling continuous monitoring of Alzheimer's disease progression. Additionally, bloodbased biomarkers such as p-tau181 and glial fibrillary acidic protein aid in differential diagnosis by distinguishing Alzheimer's disease from other dementias such as frontotemporal dementia. Blood-based biomarkers related to nerve repair have opened up new avenues for tracking nerve regeneration and therapeutic response, especially brain-derived neurotrophic factor. Furthermore, advanced detection technologies such as single-molecule array and immunoprecipitation-mass spectrometry have significantly improved the sensitivity and specificity of bloodbased biomarkers, facilitating their clinical translation. In summary, blood-based biomarkers hold strong potential to improve early diagnosis, monitor progression, differential diagnosis, and evaluate therapies in Alzheimer's disease. This review provides a comprehensive and updated evaluation of the translational potential of bloodbased biomarkers, emphasizing their practical utility in clinical settings and offering insights into future directions for large-scale application. This review emphasizes the need to prioritize the allocation of scientific resources, expedite the transition of blood-based biomarkers to clinical implementation, and ultimately achieve precise treatment of Alzheimer's disease using these biomarkers. Show less
no PDF DOI: 10.4103/NRR.NRR-D-25-00759
BDNF alzheimer's disease amyloid-β blood-based biomarkers cognitive decline early diagnosis neurodegenerative disease phosphorylated tau
Jing Li, Chengsi Li, Chengyingjie Yang +5 more · 2026 · Peptides · Elsevier · added 2026-04-24
Critical limb ischemia (CLI) represents a severe vascular complication of type 2 diabetes, primarily driven by impaired angiogenic capacity, and frequently results in limb amputation or mortality. Her Show more
Critical limb ischemia (CLI) represents a severe vascular complication of type 2 diabetes, primarily driven by impaired angiogenic capacity, and frequently results in limb amputation or mortality. Here, we investigated the therapeutic potential of tirzepatide in promoting perfusion recovery in diabetic hindlimb ischemia and delineated the underlying molecular mechanisms. Human umbilical vein endothelial cells (HUVECs) exposed to high glucose were employed to evaluate tirzepatide's effects on endothelial proliferation, migration, and tube formation, alongside the activation of Akt, endothelial nitric oxide synthase (eNOS), and extracellular signal-regulated kinase 1/2 (ERK1/2) signaling, assessed by western blotting. Knockdown of GLP-1R or GIPR abrogated the pro-angiogenic effects of tirzepatide, while pharmacological inhibition of the Akt/eNOS or ERK1/2 pathways attenuated endothelial responses. In vivo, tirzepatide treatment significantly enhanced perfusion recovery and increased capillary density in the ischemic limbs of diabetic mice, corroborating its angiogenic effects. Collectively, these findings demonstrate that tirzepatide facilitates angiogenesis and accelerates ischemic limb revascularization through dual GLP-1R/GIPR activation and subsequent engagement of Akt/eNOS and ERK1/2 signaling pathways, highlighting its potential as a therapeutic strategy for diabetic CLI. Show less
no PDF DOI: 10.1016/j.peptides.2026.171489
GIPR
Wenxiu Li, Jianhua Jiang, Yizhen Weng +5 more · 2026 · Brain research bulletin · Elsevier · added 2026-04-24
MicroRNAs (miRNAs) are key regulators of myelination and cognitive functions, with miR-219 being particularly important for the differentiation and maturation of oligodendrocyte precursor cells (OPCs) Show more
MicroRNAs (miRNAs) are key regulators of myelination and cognitive functions, with miR-219 being particularly important for the differentiation and maturation of oligodendrocyte precursor cells (OPCs). However, its role in myelin damage and cognitive dysfunction during acute cerebral ischemia is not well understood. In this study, we used the MCAO/R rat model to investigate the mechanistic involvement of miR-219. Our results show that miR-219 alleviates cognitive dysfunction induced by MCAO/R. The agonist group showed a reduced time to locate the platform in the water maze, while the antagonist group showed an increased time compared to the solvent control. Additionally, miR-219 reduced myelin damage, as demonstrated by Luxol Fast Blue (LFB) staining, which indicated substantial hippocampal demyelination repair in the agonist group, whereas the antagonist group exhibited aggravated demyelination. Electron microscopy revealed enhanced myelin sheath regeneration and increased thickness in the agonist group, while the antagonist group displayed fewer and thinner myelin sheaths. Furthermore, miR-219 regulated OPC maturation, with more CNPase-positive cells in the agonist group and fewer in the antagonist group than the solvent control. In NG2 staining, the agonist group had fewer positive cells, while the antagonist group had more. miR-219 also decreased Lingo-1 expression, leading to reduced levels of AKT, RhoA, and mTOR in the downstream signaling pathway. These findings suggest that activating the miR-219-Lingo-1 signaling pathway during ischemia-reperfusion could offer a potential therapeutic approach for improving myelin damage and alleviating cognitive dysfunction in cerebral ischemia. Show less
no PDF DOI: 10.1016/j.brainresbull.2025.111692
LINGO1
Dongbo Han, Guili Zhou, Dongmei Li +4 more · 2026 · Chemistry & biodiversity · Wiley · added 2026-04-24
Depression is a debilitating psychiatric disorder with high prevalence and suicide risk, imposing significant burdens on global health. Against this global health burden, the active ingredients of Gek Show more
Depression is a debilitating psychiatric disorder with high prevalence and suicide risk, imposing significant burdens on global health. Against this global health burden, the active ingredients of Gekko gecko Linnaeus (AIGG), a traditional Chinese medicine (TCM), have shown empirical antidepressant effects. However, their specific pharmacological mechanisms remain unclear. This study systematically elucidated the antidepressant mechanisms of AIGG by integrating GC-MS-based component analysis, network pharmacology, molecular docking, and a corticosterone (CORT)-induced depressive mouse model. GC-MS identified 10 bioactive compounds (including fatty acids) in AIGG. Network pharmacology screening of 51 potential targets revealed significant enrichment in synaptic transmission and cAMP pathways. Molecular docking confirmed strong binding affinities between AIGG-derived compounds and key targets. In vivo experiments demonstrated that AIGG significantly reversed depression-like behaviors in both forced swim and tail suspension tests, suppressed Interleukin-6 (IL-6), tumor necrosis factor α (TNF-α), and elevated β-nerve growth factor (β-NGF) levels, attenuated neuroinflammatory infiltration and neuronal apoptosis in brain tissue, and upregulated protein expression of protein kinase cAMP-activated catalytic subunit alpha (PRKACA), brain-derived neurotrophic factor (BDNF), and postsynaptic density protein 95 (PSD95). The study confirmed that AIGG alleviates depression by activating the cAMP-PRKACA-BDNF axis to restore synaptic plasticity, providing a novel natural product-based strategy for treatment of the resistant depression. Show less
no PDF DOI: 10.1002/cbdv.202502015
BDNF antidepressant depression omics pharmacology psychiatric disorder signaling traditional chinese medicine
Yuanyuan Jiang, Li He, Dongyu Hu +4 more · 2026 · Clinical and experimental hypertension (New York, N.Y. : 1993) · Taylor & Francis · added 2026-04-24
To evaluate the apolipoprotein B (ApoB) to apolipoprotein A-I (ApoA-I) ratio as a biomarker for coronary heart disease (CHD) and its clinical phenotypes, beyond traditional lipid parameters. This sing Show more
To evaluate the apolipoprotein B (ApoB) to apolipoprotein A-I (ApoA-I) ratio as a biomarker for coronary heart disease (CHD) and its clinical phenotypes, beyond traditional lipid parameters. This single-center, case-control study analyzed 7,277 patients undergoing coronary angiography. Multivariable logistic regression assessed the independent association of the ApoB/ApoA-I ratio with CHD, acute myocardial infarction (AMI), multivessel disease (MVD), and percutaneous coronary intervention (PCI). Predictive performance was evaluated via ROC curve analysis, with prespecified subgroup analyses. The ApoB/ApoA-I ratio was the strongest independent lipid predictor of CHD (adjusted OR 4.49, 95% CI 1.98-10.19). It significantly predicted severe clinical phenotypes: AMI (OR 1.94, 95% CI 1.44-2.62), MVD (OR 1.67, 95% CI 1.24-2.26), and PCI requirement (OR 1.95, 95% CI 1.43-2.66). The ratio showed significant discriminatory power for all endpoints (AUCs 0.569-0.608). Subgroup analyses revealed markedly stronger associations in males, older adults (≥60 years), and hypertensive patients, but substantially attenuated predictive value in diabetic patients. The ApoB/ApoA-I ratio is a superior biomarker for CHD risk stratification, particularly for identifying severe disease manifestations and guiding revascularization decisions in specific patient subgroups. Its integration into clinical practice could enable more precise cardiovascular risk management. Show less
no PDF DOI: 10.1080/10641963.2025.2603463
APOB
Xintong Wang, Wen Zhang, Huihui Wang +6 more · 2026 · Food & function · Royal Society of Chemistry · added 2026-04-24
Kaempferol, a natural dietary flavonoid, has shown neuroprotective potential. However, its mechanisms of protection against age-related cognitive decline, especially those mediated
no PDF DOI: 10.1039/d5fo03583j
BDNF cognitive decline gut microbiota intestinal barrier kaempferol neuroinflammation neuroprotection
Yuqi Li, Ruikai Li, Peng Wang +6 more · 2026 · Biochimica et biophysica acta. Molecular basis of disease · Elsevier · added 2026-04-24
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Show more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide and is closely associated with obesity, diabetes, and other metabolic disorders. Because MASLD progression poses serious health risks, elucidating the underlying mechanisms is essential to guide early intervention and therapeutic strategies. Proteomic analysis was used to identity high-fat diet (HFD)-induced proteins in mouse liver. Galectin-1 (GAL1) expression was assessed via immunohistochemistry in human liver tissues. Liver-specific GAL1-deficient mice were generated using adeno-associated virus. Mice were fed either a chow diet or an HFD. Functional studies were performed in cell lines using western blotting, RT-qPCR, immunofluorescence, co-immunoprecipitation, mass spectrometry, and molecular docking analysis. GAL1 expression was elevated in liver tissues from patients with MASLD and in mouse models. Liver-specific GAL1 knockdown alleviated hepatic steatosis and enhanced fatty acid oxidation (FAO). Mechanistically, GAL1 competitively bound to the BRCT domain of poly (ADP-ribose) polymerase 1 (PARP1), thereby interfering with its interaction with the WW domain -containing E3 ubiquitin protein ligase 2 (WWP2). Hepatic GAL1 knockdown promoted the PARP1 -WWP2 interaction and subsequently facilitated ubiquitin-dependent degradation of PARP1. This degradation led to increased NAD Hepatic deficiency of GAL1 alleviates hepatic steatosis by enhancing FAO through promotion of ubiquitin-dependent PARP1 degradation, thereby restoring NAD Show less
no PDF DOI: 10.1016/j.bbadis.2026.168237
WWP2
Jiyang Li, Jiancheng Xu, Yixin Xu +9 more · 2026 · European journal of pharmacology · Elsevier · added 2026-04-24
Substance use disorder is characterized by compulsive seeking behavior that is associated with aberrant synaptic plasticity in mature neurons. Environmental enrichment (EE) has been shown to increase Show more
Substance use disorder is characterized by compulsive seeking behavior that is associated with aberrant synaptic plasticity in mature neurons. Environmental enrichment (EE) has been shown to increase adult hippocampal neurogenesis and exert beneficial effects on addictive behaviors. However, the mechanisms of EE's effects on methamphetamine (METH)-induced synaptic plasticity in mature and newborn neurons remain unclear. We reported that EE decreased METH-induced seeking behavior with a decrease in the activity of mature granule cells and an increase in the number of newborn granule cells. Furthermore, the aberrant glutamatergic transmission in hippocampal mature and newborn granule cells was differentially regulated by EE. Moreover, EE restored the normal synaptic plasticity, accompanied by enhancement of brain derived neurotrophic factor (BDNF) expression. Importantly, the intervention of BDNF reversed the effects of EE on METH-induced reinstatement behavior and glutamatergic transmission in both mature and newborn cells. Finally, specifically knocking out the newborn neurons reversed the changes of EE in abnormal plasticity of mature neurons, as well as in seeking and cognitive behaviors. Taken together, regulating synaptic plasticity of mature and newborn neurons is involved in METH-induced seeking behavior and cognitive impairments, which highlights a critical role of adult neurogenesis in the treatment of METH addiction. Show less
no PDF DOI: 10.1016/j.ejphar.2025.178496
BDNF addictive behaviors environmental enrichment hippocampal methamphetamine neurogenesis neuronal plasticity neuroscience
Xinjing Yang, Bingcong Zhao, Jing Li +7 more · 2026 · Journal of traditional and complementary medicine · Elsevier · added 2026-04-24
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. T Show more
Evidence proved that electroacupuncture (EA) combined with antidepressants can improve the antidepressant effectiveness for depressed patients. However, the clinical mechanisms of EA remain unclear. This study aimed to observe the mechanism of EA as an adjunct therapy to escitalopram oxalate (EO) on depressed patients. This study was designed as a single-blinded, double-dummy randomized controlled trial. 61 participants were diagnosed with mild-to-moderate depression according to the International Classification of Diseases 10th Edition (ICD-10, F32) were randomly allocated to receive EA + EO placebo, EO + sham EA, or EA + EO for six weeks treatment. The clinical assessment including depression severity, quality of life (QOL) and clinical safety. Biological indicators of immune-inflammation, the brain-derived neurotrophic factor and glucocorticoid inducible genes in peripheral blood of participants were measured by using enzyme linked immunosorbent assay and real-time polymerase chain reaction respectively before and after treatment. Three interventions improved the depression severity and QOL (P < 0.05), and no inter-group difference was found in the 6th week (P > 0.05). Anxiety psychic and somatic general symptoms in the EA + EO group were improved significantly than those of the other two groups (P < 0.05). After six-week treatment of EA + EO, blood SGK1 mRNA, GILZ mRNA, and BDNF levels were increased significantly ( Show less
📄 PDF DOI: 10.1016/j.jtcme.2025.02.002
BDNF
Yichen Zhang, Lin Sun, Fang Li +2 more · 2026 · Cellular signalling · Elsevier · added 2026-04-24
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing Show more
The pathological environment of atherosclerosis (AS) is characterized by hyperlipidemia and chronic inflammation, which cause increased heterogeneity among vascular smooth muscle cells (VSMCs). Owing to its lipid-regulating and anti-inflammatory effects, paeoniflorin (Pae) inhibits VSMC phenotypic transformation, making it a promising candidate for AS treatment. Mouse aortic VSMCs were treated with oxidized low-density lipoprotein (ox-LDL) and Pae, and the effects on cell phenotype were examined. An AS model was established by feeding ApoE Pae reversed weight gain and elevated TG levels in the AS model. Oil Red O staining showed that Pae inhibited VSMC-derived foam cell formation in vitro and reduced aortic sinus plaque area, aortic wall lipid deposition, and hepatic steatosis in the AS model. Immunofluorescence staining of the aortic sinus revealed that Pae mitigated α-SMA overexpression and reversed ATP-binding cassette transporter A1 (ABCA1) downregulation. Western blotting analysis revealed that Pae inhibited ERK1/2 and p65 phosphorylation, curbed MMP2 overexpression, and restored downregulated ABCA1 expression. Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, and wound healing assays demonstrated that Pae inhibited ox-LDL-induced VSMC proliferation and migration. Additionally, Pae significantly inhibited the expression of the inflammatory factors IL-6 and MCP-1 both in vivo and in vitro. Pae may treat AS by inhibiting VSMC phenotypic transformation. Show less
no PDF DOI: 10.1016/j.cellsig.2026.112477
APOE
Yue Shi, Yongkang Yang, Xianghao Guo +11 more · 2026 · EBioMedicine · Elsevier · added 2026-04-24
Early pregnancy loss (EPL), a spontaneous death of the embryo or foetus occurring within the first trimester, is a major challenge for human reproduction with profound adverse consequences for women's Show more
Early pregnancy loss (EPL), a spontaneous death of the embryo or foetus occurring within the first trimester, is a major challenge for human reproduction with profound adverse consequences for women's health. Currently, reliable blood-based biomarkers for EPL remain limited. Therefore, there is an urgent need to discover novel biomarkers for EPL using a multi-omics-based approach to facilitate early detection and timely management. In the discovery cohort, 40 patients with EPL and 40 healthy pregnancies (HP) at 7-13 weeks of gestation were enrolled. Serum proteins and metabolites were assayed by Olink® technology and ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS), respectively. Biomarkers were defined by false discovery rate (FDR) < 0.05 and fold change (FC) > 1.2. Random forest (RF) and logistic regression (LR) models incorporating selected biomarkers were employed to develop diagnostic models for EPL. In the external validation cohort, we prospectively enrolled 142 pregnancies at 7-10 gestational weeks, including 47 subjects who subsequently developed EPL and 95 pregnancies with full-term birth. Serum levels of selected biomarkers were quantified by ELISA. The combined proteomics and metabolomics screening identified 26 proteins and 21 metabolites significantly changed in the EPL group and tightly associated with EPL-related clinical phenotypes, with functional enrichment in immunoregulation and lipid oxidation processes. Moreover, integrating serum levels of angiopoietin-like 4 (ANGPTL4), programmed death-ligand 1 (PD-L1), neutrophil%, and lymphocyte% achieved an AUC of 0.944 (95% CI: 0.835-1.000) in the random forest model and 0.954 (95% CI: 0.875-1.000) in the logistic regression model to discriminate EPL from HP. Importantly, this four-biomarker model achieved an AUC of 0.857 (95% CI: 0.747-0.968) in the random survival forest model and a C-index of 0.804 (95% CI: 0.685-0.973) in the validation cohort for EPL prediction. Our integrative omics study reveals a panel of potential circulating biomarkers for EPL, which further offer mechanistic insights into EPL pathogenesis, including impaired maternal immune tolerance and dysregulated lipid metabolism pathways. Moreover, the newly identified biomarkers exhibit promising diagnostic and predictive performance for EPL, underscoring its clinical translational value for human reproduction and maternal-foetal health. This study was supported by Research Grants Council (RGC) Germany/Hong Kong Joint Research Scheme (G-CUHK415/25), 1+1+1 CUHK-CUHK(SZ)-GDST Joint Collaboration Fund (2025A0505000077), CUHK HOPE BWCH Collaborative Medical Research Fund (CF2025002), Shenzhen Medical Research Fund (C2501040), and Shenzhen Science and Technology Program (RCYX20210609104608036). Show less
📄 PDF DOI: 10.1016/j.ebiom.2026.106253
ANGPTL4
Zitong Gao, Haihong Qin, Tong Yue +2 more · 2026 · Archives of gerontology and geriatrics · Elsevier · added 2026-04-24
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classe Show more
Older adults' social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classes and transition patterns of social participation in older adults with chronic non-communicable diseases and to assess their relationship with subsequent frailty. The data set from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 (T1) and 2020 (T2) was analyzed, including 4793 older adults. Latent profile analyses (LPA) and latent transition analyses (LTA) were employed to identify latent classes and the transition probabilities of social participation at T1 and T2. The ANCOVA was employed to examine the frailty index at T2 was compared across transition patterns. The LPA results supported a 4-class model labeled as inactive group, voluntary group, social interaction group, and omni-engaged group. The probability of transition from the other groups to the inactive group was significant (33.3 %, 53.8 %, 54.4 %). Age, residence, marital status, and other demographic characteristics can significantly impact transition patterns. However, after controlling for baseline frailty and other covariates, transition patterns were not significantly associated with T2 frailty levels. The short-term (two-year) effect of qualitative shifts in social participation on frailty may be limited when pre-existing health status is accounted for. Future interventions should prioritize sustained engagement and investigate the longer-term effects of both qualitative and quantitative changes in social participation. Show less
no PDF DOI: 10.1016/j.archger.2025.106091
LPA
Ali Hassan Nawaz, Qiqian Cui, Jiqiang Ding +10 more · 2026 · Poultry science · Elsevier · added 2026-04-24
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanis Show more
Indigenous chickens in tropical regions routinely survive high environmental temperatures (40-45 °C) that cause significant mortality and production loss in commercial breeds, yet the genetic mechanisms of thermotolerance remain poorly understood. This study integrated genome-wide selective scans across 14 geographically and climatically diverse chicken breeds with multi-tissue expression data, gene expression quantitative trait locus (eQTL) analysis, transcriptome-wide association study (TWAS), and cross-species phenome-wide association study (PheWAS) to validate candidate genes. We identified 25 high-confidence genes under selection, with ATP1A1, PLCB4, RYR2 and AKT3 forming a regulatory hub coordinating cardiovascular, calcium and survival signaling. These genes converge on interconnected adrenergic, calcium, and GnRH signaling pathways, with coordinated expression across heart, hypothalamus, and liver forming an integrated thermoregulatory axis. The eQTL integration analysis using ChickenGTEx data identified 359 tissue-specific cis-eQTLs in selected regions. Additionally, TWAS analysis linked ATP1A1 to 145 gene-trait associations across 13 tissues and 14 trait categories (hepatic regulation, β = -2.13, p = 4.21 × 10⁻¹²), and cross-species PheWAS validated conserved roles in cardiovascular function (RYR2, resting heart rate p = 4.9 × 10⁻¹²), and ionic homeostasis (ATP1A1, chloride p = 1.18 × 10⁻³). In parallel, we also identified robust genomic signatures of domestication in classic candidate genes (TSHR, TBC1D1, BDNF), highlighting how initial separation from Red Jungle Fowl and subsequent adaptation to diverse climates have shaped the genetic and physiological diversity of the domesticated chicken. Collectively, our results reveal an integrated cardio-neuroendocrine calcium network driving heat adaptation, providing potential targets for breeding heat-tolerant chickens. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106744
BDNF
Yutong Lin, Danan Wang, Duanbin Li +8 more · 2026 · Atherosclerosis · Elsevier · added 2026-04-24
Angiopoietin-like protein 8 (ANGPTL8), a member of the angiopoietin-like protein (ANGPTL) family, is a physiological inhibitor of lipoprotein lipase (LPL), and plays a critical role in lipoprotein and Show more
Angiopoietin-like protein 8 (ANGPTL8), a member of the angiopoietin-like protein (ANGPTL) family, is a physiological inhibitor of lipoprotein lipase (LPL), and plays a critical role in lipoprotein and triglyceride metabolism in response to nutritional cues. ANGPTL8 is implicated in a wide range of systemic and cellular processes and is closely associated with metabolic and cardiovascular diseases (CVD). Circulating ANGPTL8 is primarily secreted by the liver, with adipose tissue as a secondary source. Its expression is regulated by multiple transcription factors and microRNAs, and is responsive to fasting/refeeding states, hormonal signals, and stress conditions. In lipid metabolism, ANGPTL8 forms complexes with ANGPTL3 and ANGPTL4 to modulate LPL activity under fasting and feeding conditions. In glucose metabolism, ANGPTL8 plays a complex role. While some studies suggest it may improve glucose tolerance and insulin resistance, others indicate it could exacerbate glucose metabolism disorders and diabetes, or have no effect. Cardiovascular diseases are intricately linked to metabolic disorders and diseases. Increasing evidence also links ANGPTL8 to various cardiovascular pathologies, including atherosclerosis, hypertension, cardiomyopathy, cardiac hypertrophy, aortic aneurysm, and dissection. Given the strong interplay between metabolic dysregulation and CVDs, elucidating the role of ANGPTL8 in these processes is of significant interest. This review provides a balanced assessment of ANGPTL8's roles in key pathophysiological processes, highlighting its established functions in metabolism alongside its emerging involvement in CVDs. Understanding the diverse functions of ANGPTL8 in various tissues and metabolic states will lead to new opportunities for therapeutic intervention in cardiometabolic disorders. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2025.120556
ANGPTL4
Fanfan Meng, Tingting Zhao, Xi Yang +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundAlzheimer's disease (AD) is a multifactorial disorder. The sortilin-related receptor 1 (
no PDF DOI: 10.1177/13872877261441644
APOE
Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao · 2026 · Scientific reports · Nature · added 2026-04-24
This paper presents the Assimilation Modified Emotional (AME) algorithm, which is an enhanced version of the traditional label propagation algorithm (LPA) designed to address key challenges in social Show more
This paper presents the Assimilation Modified Emotional (AME) algorithm, which is an enhanced version of the traditional label propagation algorithm (LPA) designed to address key challenges in social network analysis and emotional feature extraction. Traditional LPA methods, such as asynchronous label propagation and the Louvain algorithm, do not incorporate emotional representations and are often limited by local structural dependencies. The AME algorithm addresses these limitations by applying spectral algorithms, Markov chains, graph coarsening, and link prediction to simulate and optimize emotional transitions within the network. In addition, the AME algorithm enhances label representation through multi-label encoding, which allows for more accurate simulation of dynamic emotional states. Experimental results show that the AME algorithm achieves better performance than traditional LPA methods in terms of both accuracy and loss values. These findings indicate that the AME algorithm has strong potential for improving AI models used in social network analysis and emotional feature extraction. Show less
📄 PDF DOI: 10.1038/s41598-025-18482-0
LPA
Hansen Li, Guodong Zhang, Jie Tian +7 more · 2026 · Psychology, health & medicine · Taylor & Francis · added 2026-04-24
The Climate Change Anxiety Scale (CCAS) is an emerging psychometric instrument designed to assess climate change anxiety (CCA). This study aimed to preliminarily identify reference cutoff scores and c Show more
The Climate Change Anxiety Scale (CCAS) is an emerging psychometric instrument designed to assess climate change anxiety (CCA). This study aimed to preliminarily identify reference cutoff scores and core items of the CCAS in a Chinese adult population. We conducted an online cross-sectional survey in China between May and June 2024, recruiting 653 Chinese adults (mean age = 32.62 ± 7.40 years; 53.8% female) via Wenjuanxing. CCA was assessed using the CCAS. External variables included generalized anxiety (Chinese GAD-7), self-rated sleep quality (single-item, past week), and self-reported experience of meteorological disasters (yes/no). Latent profile analysis (LPA) and receiver operating characteristic (ROC) analyses were used to derive reference cutoff scores, and network analysis was applied to identify core items. LPA supported a two-profile solution and yielded an overall reference cutoff score of 27.5, above which participants were categorized as having elevated CCA risk. Participants classified as high risk reported higher generalized anxiety, poorer sleep quality, and a higher likelihood of meteorological disaster experience. Sex-stratified analyses indicated different optimal cutoffs: 28.5 for males (sensitivity = 1.000; specificity = 0.982) and 26.5 for females (sensitivity = 0.986; specificity = 0.986). Network analysis further suggested that the item Show less
no PDF DOI: 10.1080/13548506.2026.2613314
LPA
Ziqing Li, Rahmani Mohammad Malyar, Hanxue Sun +4 more · 2026 · Poultry science · Elsevier · added 2026-04-24
To elucidate the molecular basis of intramuscular fat (IMF) variation in yellow-feathered broilers, we selected 10 high-IMF (HF) and 10 low-IMF (LF) breast muscle samples from a total of 214 samples, Show more
To elucidate the molecular basis of intramuscular fat (IMF) variation in yellow-feathered broilers, we selected 10 high-IMF (HF) and 10 low-IMF (LF) breast muscle samples from a total of 214 samples, after z-score filtering for LC-MS lipidomics and RNA-seq analyses. Lipidomics identified 94 differentially expressed lipids (DELs; 83 upregulated, 11 downregulated in HF), predominantly triglycerides (TGs, 20.2%), phosphatidylethanolamines (PEs, 15.3%), phosphatidylcholines (PCs, 12.1%), and sphingomyelins (SMs, 8.4%). LION/web enrichment indicated an unsaturated lipid-rich phenotype, characterized by fatty acids containing ≥ 2 double bonds and membrane structural components. RNA-seq revealed 423 differentially expressed genes (DEGs; 312 upregulated, 111 downregulated in HF), enriched in plasma membrane, cell periphery, retinol metabolism, and steroid hormone biosynthesis pathways. RT-qPCR validation of nine lipid metabolism-related DEGs confirmed the RNA-seq trends. Cross-omics Pearson correlation between these DEGs and the top 20 DELs identified PLIN1, SCD, and APOB as central regulatory hubs strongly associated with multiple polyunsaturated TGs and PCs. Functional overlap across omics layers suggests coordinated membrane remodeling and unsaturated lipid deposition in HF breast muscle, providing a data-driven framework for future mechanistic validation and breeding strategies. Show less
📄 PDF DOI: 10.1016/j.psj.2026.106470
APOB
Mingming Dai, Tingting Lu, Jinghao Li +1 more · 2026 · Apoptosis : an international journal on programmed cell death · Springer · added 2026-04-24
Cerebral ischemia/reperfusion injury (CI/RI) is a common complication of cerebrovascular diseases such as stroke, characterized by mitochondrial dysfunction. This study investigates the function of pr Show more
Cerebral ischemia/reperfusion injury (CI/RI) is a common complication of cerebrovascular diseases such as stroke, characterized by mitochondrial dysfunction. This study investigates the function of proliferation-associated protein 2G4 (PA2G4) released by neural stem cells (NSCs)-derived exosomes (NSC-Exo) in treating middle cerebral artery occlusion/reperfusion (MCAO/R) by regulating mitophagy. NSC-Exo were extracted and identified. Treatment of NSC-Exo alleviated neurofunctional impairments in MCAO/R-induced mice, reduced oxidative stress and inflammatory responses in hippocampal tissues, and decreased neuronal apoptosis. We analyzed the alteration of molecular mechanisms under the effect of NSC-Exo treatment using bioinformatics analysis and RNA sequencing. PA2G4 was enriched in NSC-Exo, and the absence of PA2G4 in neurons impaired the mitigating effect of NSC-Exo on hippocampal neuronal injury and inhibited mitophagy. NSC-Exo delivered PA2G4 to recruit WW domain-containing protein 2 (WWP2), thereby mediating ubiquitination and degradation of Annexin A2 (ANXA2), and overexpression of PA2G4 or WWP2 reversed the accentuating effect of ANXA2 overexpression on MCAO injury. These findings indicate that PA2G4 delivered by NSC-Exo recruits WWP2 to mediate ubiquitination of ANXA2, thereby activating mitophagy to alleviate oxidative stress in hippocampal neurons in MCAO/R. This study offers a novel target for the treatment of CI/RI. Show less
no PDF DOI: 10.1007/s10495-026-02291-5
WWP2
Xingzhen Huang, Yanbo Li, Yongmin Duan +2 more · 2026 · Optics letters · added 2026-04-24
Although glass-based long-persistent luminescence (LPL) materials offer superior transparency and integration capability compared with conventional phosphors, their emission has been predominantly res Show more
Although glass-based long-persistent luminescence (LPL) materials offer superior transparency and integration capability compared with conventional phosphors, their emission has been predominantly restricted to the blue-green region, leaving warm-color LPL largely unexplored. In this work, Mn Show less
no PDF DOI: 10.1364/OL.589823
LPL
Yin Yuan, Yuezhen Huang, He Li +3 more · 2026 · BMC genomics · BioMed Central · added 2026-04-24
After feeding carnivorous mandarin fish ( Compared to the easy-acclimation group (EA), the difficult-acclimation group (DA) exhibited significantly lower body weight and length ( The results of this s Show more
After feeding carnivorous mandarin fish ( Compared to the easy-acclimation group (EA), the difficult-acclimation group (DA) exhibited significantly lower body weight and length ( The results of this study indicate that the observed differences in growth performance post-acclimation are associated with the synergistic regulation of brain gene expression, host metabolites, and intestinal microbiota. These results elucidate key molecular mechanisms in the acclimation process of mandarin fish. The online version contains supplementary material available at 10.1186/s12864-025-12446-4. Show less
📄 PDF DOI: 10.1186/s12864-025-12446-4
MC4R
Shuzhen Du, Wenqiang Li, Yubo Wang +7 more · 2026 · BMC cardiovascular disorders · BioMed Central · added 2026-04-24
To develop and validate a prediction model for in-hospital cardiogenic shock (CS) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) based on machine lea Show more
To develop and validate a prediction model for in-hospital cardiogenic shock (CS) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI) based on machine learning (ML) algorithms. A total of 1608 AMI patients admitted to the First Hospital of Lanzhou University during 2023 and 2024 were retrospectively enrolled in this study. The 851 patients from 2023 were randomly divided into a training set ( LASSO regression initially identified 13 candidate features, while the random forest (RF) model demonstrated the best predictive performance in the training set. Following Boruta refinement, seven key features were retained, leading to the construction of an updated RF model. This model achieved an AUROC of 0.906, an accuracy of 0.977, a precision of 0.900, a sensitivity of 0.643, a specificity of 0.996, and a F1 score of 0.750 on the internal validation set. Temporal external validation at the same center showed an AUROC of 0.988, an accuracy of 0.967, a precision of 0.701, a sensitivity of 0.904, a specificity of 0.972, and a F1 score of 0.790. Furthermore, the model demonstrated excellent calibration, with a Brier score of 0.023 and 0.027. The SHAP analysis ranked feature importance as Killip class, D-dimer (DD), creatinine (Crea), alanine aminotransferase (ALT), apolipoprotein B/A (APOB/A), diastolic blood pressure (DBP) and lactate (Lac). We developed and validated a RF model based on seven key variables—Killip class, DD, Crea, ALT, APOB/A, DBP and Lac—that serves as a predictive tool for identifying the risk of in-hospital CS in AMI patients post-PCI. Additionally, we created an online prediction application using Streamlit, which facilitates the implementation of this model into clinical practice. Show less
📄 PDF DOI: 10.1186/s12872-026-05562-w
APOB
Jie Zhang, Liwen Yu, Wei Yang +18 more · 2026 · Circulation · added 2026-04-24
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, Show more
Atherosclerosis is a chronic inflammatory disease marked by lipid accumulation and immune cell infiltration in arterial walls. Macrophages contribute by internalizing oxidized low-density lipoprotein, forming foam cells, and driving inflammation. The ubiquitin-proteasome system regulates immune and inflammatory responses in atherosclerosis. This study investigated the protective role of TRIM31 (tripartite motif-containing 31), an E3 ubiquitin ligase, in macrophage lipid metabolism and inflammation through selective regulation of LOX-1 (lectin-like oxidized low-density lipoprotein receptor-1). Transcriptomic profiling, macrophage-specific TRIM31 was selectively upregulated in macrophages under oxidized low-density lipoprotein stimulation and in atherosclerosis plaques. Trim31 deficiency exacerbated plaque burden, foam cell formation, and inflammatory signaling (n=8 per group). Single-cell analysis revealed enrichment of lipid transport and inflammatory pathways in Trim31-deficient plaques. LOX-1 was identified as a key TRIM31 substrate. TRIM31 promoted K48-linked ubiquitination of LOX-1 at lysine 12, facilitating its degradation. The atheroprotective effects of Trim31 were abolished in TRIM31, an inducible, macrophage-enriched protective factor in atherosclerosis, restricts foam cell formation and inflammation by targeting LOX-1 for proteasomal degradation. These findings position TRIM31 as a promising therapeutic target for macrophage-driven atherogenesis. Show less
no PDF DOI: 10.1161/CIRCULATIONAHA.125.076514
APOE
Yandong Li, Linlin Du, Xingyu He +1 more · 2026 · Pakistan journal of pharmaceutical sciences · added 2026-04-24
Central pathophysiological mechanisms underlying cognitive impairment and mood disorders are complex. Traditional Chinese Medicine (TCM)-derived bioactive compounds have significant research value in Show more
Central pathophysiological mechanisms underlying cognitive impairment and mood disorders are complex. Traditional Chinese Medicine (TCM)-derived bioactive compounds have significant research value in this field. This study aimed to synthesize current preclinical and emerging clinical evidence on the neuroprotective and psychotropic effects of key TCM constituents, with a particular focus on their roles in modulating neuroinflammatory signalling, synaptic plasticity, oxidative balance and stress-related neuroendocrine pathways. A narrative synthesis of experimental and early clinical studies was conducted, emphasizing mechanistic investigations in rodent models and exploratory human trials. Outcomes of interest included inflammatory cytokine expression, inflammasome activation, redox homeostasis, synaptic signalling pathways, neuroendocrine regulation, behavioural performance and translational pharmaceutical considerations. Multiple TCM constituents attenuate microglial activation and inflammasome signalling, suppressing interleukin-1β, interleukin-6 and tumor necrosis factor-alpha through inhibition of nuclear factor κB and NOD-like receptor pyrin domain-containing 3 pathways. These effects restore redox homeostasis, reduce synaptic loss and improve cognitive and behavioural outcomes in animal models. Concurrently, several compounds enhance synaptic resilience by upregulating brain-derived neurotrophic factor and tropomyosin receptor kinase B signalling, activating downstream mechanistic target of rapamycin complex 1 and cyclic adenosine monophosphate response element-binding protein pathways and preserving synaptic proteins. Key agents, including ginsenosides, baicalin and curcumin, have shown translational promise, with small human trials reporting improvements in depressive symptoms, cognitive function and biomarker profiles. Additionally, TCM compounds modulate HPA axis dynamics by attenuating stress-induced corticosterone elevation, restoring glucocorticoid receptor sensitivity and rebalancing monoaminergic and glutamatergic neurotransmission. However, pharmaceutical translation remains limited by challenges related to formulation, dosage standardization and poor oral bioavailability, particularly for flavonoids and saponins. TCM-derived compounds exert multifaceted neuroprotective and psychotropic effects, while successful clinical translation requires strengthened pharmaceutical characterization, standardized dosing strategies and advanced delivery systems such as nanoformulations, phytosomes and standardized granules to enhance bioavailability, reliability and regulatory acceptance. Show less
📄 PDF DOI: 10.36721/PJPS.2026.39.5.REG.15389.1
BDNF cognitive decline depressive disorders neuroinflammation neuroinflammatory signalling neuroprotection oxidative balance stress axis regulation