👤 Mengjuan Li

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Also published as: A Li, Ai-Jun Li, Ai-Qin Li, Ailing Li, Aimin Li, Aixin Li, Alexander H Li, Alexander Li, Amy Li, An-Qi Li, AnHai Li, Anan Li, Andrew C Li, Ang Li, Anna Fen-Yau Li, Annie Li, Anqi Li, Anyao Li, Ao Li, Aowen Li, Aoxi Li, Audrey Li, Bai-Qiang Li, Baichuan Li, Baiqiang Li, Baixing Li, Baizhou Li, Bang-Yan Li, Bao Li, Bao-Shan Li, Baoguang Li, Baoguo Li, Baohong Li, Baohua Li, Baolin Li, Baoqi Li, Baoqing Li, Baosheng Li, Baoting Li, Bei Li, Bei-Bei Li, Beibei Li, Beixu Li, Ben Li, Ben-Shang Li, Benyi Li, Biao Li, Bichun Li, Bin Li, Bin-Kui Li, Binbin Li, Bing Li, Bing-Heng Li, Bing-Hui Li, Bing-Mei Li, Bingbing Li, Binghu Li, Binghua Li, Bingjie Li, Bingjue Li, Bingkun Li, Binglan Li, Bingong Li, Bingshan Li, Bingsheng Li, Bingsong Li, Bingxin Li, Binjun Li, Binkui Li, Binru Li, Binxing Li, Biyu Li, Bizhi Li, Bo Li, BoWen Li, Bohao Li, Bohua Li, Bolun Li, Boru Li, Botao Li, Boxuan Li, Boya Li, Boyang Li, Bugao Li, C H Li, C Li, C X Li, C Y Li, Caesar Z Li, Cai Li, Cai-Hong Li, Caihong Li, Caili Li, Caixia Li, Caiyu Li, Caiyun Li, Can Li, Cang Li, Caolong Li, Chang Li, Chang-Da Li, Chang-Ping Li, Chang-Sheng Li, Chang-Yan Li, Chang-hai Li, Changcheng Li, Changgui Li, Changhong Li, Changhui Li, Changjiang Li, Changkai Li, Changqing Li, Changwei Li, Changxian Li, Changyan Li, Changyu Li, Changzheng Li, Chanjuan Li, Chanyuan Li, Chao Bo Li, Chao Li, Chaochen Li, Chaojie Li, Chaonan Li, Chaoqian Li, Chaowei Li, Chaoying Li, Chen Li, Chen-Chen Li, Chen-Lu Li, Chen-Xi Li, Chenfeng Li, Cheng Li, Cheng-Lin Li, Cheng-Tian Li, Cheng-Wei Li, Chengbin Li, Chengcheng Li, Chenghao Li, Chenghong Li, Chengjian Li, Chengjun Li, Chenglan Li, Chenglong Li, Chengnan Li, Chengping Li, Chengqian Li, Chengquan Li, Chengsi Li, Chenguang Li, Chengwen Li, Chengxin Li, Chengyun Li, Chenhao Li, Chenjie Li, Chenli Li, Chenlin Li, Chenlong Li, Chenlu Li, Chenmeng Li, Chenrui Li, Chensheng Li, Chenwen Li, Chenxi Li, Chenxiao Li, Chenxin Li, Chenxuan Li, Chenyang Li, Chenyao Li, Chenyu Li, Cheung Li, Chi-Ming Li, Chi-Yuan Li, Chia Li, Chia-Yang Li, Chien-Feng Li, Chien-Hsiu Li, Chien-Te Li, Chih-Chi Li, Chitao Li, Chiyang Li, Chong Li, Chongyang Li, Chongyi Li, Chris Li, Chu-Qiao Li, Chuan F Li, Chuan Li, Chuan-Hai Li, Chuan-Yun Li, Chuanbao Li, Chuanfang Li, Chuang Li, Chuangpeng Li, Chuanning Li, Chuanyin Li, Chumei Li, Chun Li, Chun-Bo Li, Chun-Lai Li, Chun-Mei Li, Chun-Quan Li, Chun-Xiao Li, Chun-Xu Li, Chung-Hao Li, Chung-I Li, Chunhong Li, Chunhui Li, Chunjie Li, Chunjun Li, Chunlan Li, Chunlian Li, Chunliang Li, Chunlin Li, Chunmei Li, Chunmiao Li, Chunqing Li, Chunqiong Li, Chunshan Li, Chunsheng Li, Chunting Li, Chunxia Li, Chunxiao Li, Chunxing Li, Chunxue Li, Chunya Li, Chunyan Li, Chunyi Li, Chunying Li, Chunyu Li, Chunzhu Li, Chuzhong Li, Cien Li, Cong Li, Congcong Li, Congfa Li, Conghui Li, Congjiao Li, Conglin Li, Congxin Li, Congye Li, Cui Li, Cui-lan Li, Cuicui Li, Cuiguang Li, Cuilan Li, Cuiling Li, Cun Li, Cunxi Li, Cyril Li, D C Li, Da Li, Da-Hong Li, Da-Jin Li, Da-Lei Li, Da-wei Li, DaZhuang Li, Dacheng Li, Dai Li, Daiyue Li, Dalei Li, Dali Li, Dalin Li, Dan C Li, Dan Li, Dan-Dan Li, Dan-Ni Li, Dandan Li, Daniel Tian Li, Danjie Li, Danni Li, Danxi Li, Danyang Li, Daoyuan Li, Dapei Li, Dawei Li, Dayong Li, Dazhi Li, De-Jun Li, De-Tao Li, Dechao Li, Defa Li, Defeng Li, Defu Li, Dehai Li, Deheng Li, Dehua Li, Dejun Li, Demin Li, Deming Li, Dengfeng Li, Dengke Li, Dengxiong Li, Deqiang Li, Desen Li, Desheng Li, Dexiong Li, Deyu Li, Dezhi Li, Di Li, Di-Jie Li, Dianjie Li, Dijie Li, Ding Li, Ding Yang Li, Ding-Biao Li, Ding-Jian Li, Dingchen Li, Dingshan Li, Diyan Li, Dong Li, Dong Sheng Li, Dong-Jie Li, Dong-Ling Li, Dong-Run Li, Dong-Yun Li, Dong-fei Li, Dongbiao Li, Dongdong Li, Dongfang Li, Dongfeng Li, Donghe Li, Donghua Li, Dongliang Li, Dongmei Li, Dongmin Li, Dongnan Li, Dongtao Li, Dongyang Li, Dongye Li, Duan Li, Duanbin Li, Duanxiang Li, Dujuan Li, Duo Li, Duoyun Li, Ellen Li, En Li, En-Min Li, Enhao Li, Enhong Li, Enxiao Li, F Li, Fa-Hong Li, Fa-Hui Li, Fadi Li, Fan Li, Fang Li, Fangqi Li, Fangyan Li, Fangyong Li, Fangyuan Li, Fangzhou Li, Fei Li, Fei-Lin Li, Fei-feng Li, Feifei Li, Feilong Li, Fen Li, Feng Li, Feng-Feng Li, Fengfeng Li, Fengjuan Li, Fengli Li, Fengqi Li, Fengqiao Li, Fengqing Li, Fengxia Li, Fengxiang Li, Fengyi Li, Fengyuan Li, Fu-Rong Li, Fugen Li, Fuhai Li, Fujun Li, Fulun Li, Fuping Li, Fusheng Li, Fuyu Li, Fuyuan Li, G Li, G-P Li, Gaijie Li, Gaizhen Li, Gaizhi Li, Gan Li, Gang Li, Ganggang Li, Gao-Fei Li, Gaoyuan Li, Ge Li, Gen Li, Gen-Lin Li, Gerard Li, Gong-Hua Li, Gongda Li, Guanbin Li, Guandu Li, Guang Li, Guang Y Li, Guang-Li Li, Guang-Xi Li, Guangda Li, Guangdi Li, Guanghua Li, Guanghui Li, Guangjin Li, Guangli Li, Guanglu Li, Guanglve Li, Guangming Li, Guangping Li, Guangpu Li, Guangqiang Li, Guangquan Li, Guangwen Li, Guangxi Li, Guangxiao Li, Guangyan Li, Guangzhao Li, Guangzhen Li, Guannan Li, Guanqiao Li, Guanyu Li, Gui Lin Li, Gui-Bo Li, Gui-Hua Li, Gui-Rong Li, Gui-xing Li, Guigang Li, Guihua Li, Guilan Li, Guisen Li, Guixia Li, Guixin Li, Guiyang Li, Guiying Li, Guiyuan Li, Guo Li, Guo-Chun Li, Guo-Jian Li, Guo-Li Li, Guo-Ping Li, Guo-Qiang Li, Guobin Li, Guoge Li, Guohong Li, Guohua Li, Guohui Li, Guojin Li, Guojun Li, Guoli Li, Guoping Li, Guoqin Li, Guoqing Li, Guowei Li, Guoxi Li, Guoxiang Li, Guoxing Li, Guoyan Li, Guoyin Li, H J Li, H Li, H-F Li, H-H Li, H-J Li, Hai Li, Hai-Yun Li, Haibin Li, Haibo Li, Haifeng Li, Haihong Li, Haihua Li, Haijun Li, Hailong Li, Haimin Li, Haiming Li, Hainan Li, Haipeng Li, Hairong Li, Haitao Li, Haitong Li, Haixia Li, Haiyan Li, Haiyang Li, Haiying Li, Haiyu Li, Han Li, Han-Bing Li, Han-Bo Li, Han-Ni Li, Han-Ru Li, Han-Wei Li, Hanbin Li, Hanbing Li, Hanbo Li, Handong Li, Hang Li, Hangwen Li, Hanjun Li, Hankun Li, Hanlu Li, Hanmei Li, Hanqi Li, Hanqin Li, Hansen Li, Hanting Li, Hanxiao Li, Hanxue Li, Hao Li, Hao-Fei Li, Haojing Li, Haolong Li, Haomiao Li, Haoqi Li, Haoran Li, Haotong Li, Haoxian Li, Haoyu Li, Haying Li, He Li, He-Zhen Li, Hecheng Li, Hegen Li, Hehua Li, Heng Li, Heng-Zhen Li, Hengguo Li, Hengtong Li, Hengyu Li, Hening Li, Hewei Li, Hexin Li, Heying Li, Hong Li, Hong-Chun Li, Hong-Lan Li, Hong-Lian Li, Hong-Mei Li, Hong-Tao Li, Hong-Wen Li, Hong-Yan Li, Hong-Yu Li, Hong-Zheng Li, Hongbo Li, Hongchang Li, Hongde Li, Honggang Li, Hongguo Li, Honghua Li, Honghui Li, Hongjia Li, Hongjiang Li, Hongjuan Li, Honglei Li, Hongli Li, Honglian Li, Hongliang Li, Honglin Li, Hongling Li, Honglong Li, Hongmei Li, Hongmin Li, Hongming Li, Hongqin Li, Hongquan Li, Hongru Li, Hongsen Li, Hongwei Li, Hongxia Li, Hongxin Li, Hongxing Li, Hongxue Li, Hongyan Li, Hongye Li, Hongyi Li, Hongyu Li, Hongyun Li, Hongzhe K Li, Hongzheng Li, Hongzhi Li, Hsiao-Fen Li, Hsiao-Hui Li, Hsin-Hua Li, Hsin-Yun Li, Hu Li, Hua Li, Hua-Zhong Li, Huabin Li, Huafang Li, Huafu Li, Huaixing Li, Huaiyuan Li, Hualian Li, Hualing Li, Huamao Li, Huan Li, Huanan Li, Huang Li, Huangbao Li, Huangyuan Li, Huanhuan Li, Huanjun Li, Huanqing Li, Huanqiu Li, Huaping Li, Huashun Li, Huawei Li, Huayao Li, Huayin Li, Huaying Li, Hui Li, Hui-Jun Li, Hui-Long Li, Hui-Ping Li, Huibo Li, Huifang Li, Huifeng Li, Huihuang Li, Huihui Li, Huijie Li, Huijuan Li, Huijun Li, Huilan Li, Huili Li, Huiliang Li, Huilin Li, Huilong Li, Huimin Li, Huiping Li, Huiqin Li, Huiqing Li, Huiqiong Li, Huiting Li, Huixia Li, Huixue Li, Huiying Li, Huiyou Li, Huiyuan Li, Huizi Li, Hujie Li, Hulun Li, Hung Li, Hung-Yuan Li, Ivan Li, J Li, J T Li, Jason Li, Jen-Ming Li, Jenny J Li, Ji Li, Ji Xia Li, Ji-Cheng Li, Ji-Feng Li, Ji-Liang Li, Ji-Lin Li, Ji-Min Li, Jia Li, Jia Li Li, Jia-Da Li, Jia-Huan Li, Jia-Peng Li, Jia-Ru Li, Jia-Xin Li, Jiabei Li, Jiachen Li, Jiacheng Li, Jiafang Li, Jiafei Li, Jiahao Li, Jiahui Li, Jiajia Li, Jiajie Li, Jiajing Li, Jiajun Li, Jiajv Li, Jiali Li, Jialin Li, Jialing Li, Jialun Li, Jiaming Li, Jian Li, Jian'an Li, Jian-Jun Li, Jian-Mei Li, Jian-Qiang Li, Jian-Shuang Li, Jianan Li, Jianang Li, Jianbin Li, Jianbo Li, Jianchun Li, Jiandong Li, Jianfang Li, Jianfeng Li, Jiang Li, Jiangan Li, Jiangbo Li, Jiangchao Li, Jiangfeng Li, Jianglin Li, Jianglong Li, Jiangtao Li, Jiangui Li, Jianguo Li, Jiangxia Li, Jiangya Li, Jianhai Li, Jianhua Li, Jiani Li, Jianing Li, Jianliang Li, Jianlin Li, Jianmin Li, Jiannan Li, Jianping Li, Jianrong Li, Jianrui Li, Jiansheng Li, Jianshuang Li, Jianwei Li, Jianxin Li, Jianxiong Li, Jianye Li, Jianyi Li, Jianyong Li, Jianyu Li, Jianzhong Li, Jiao Li, Jiao-Jiao Li, Jiaomei Li, Jiaping Li, Jiaqi Li, Jiawei Li, Jiaxi Li, Jiaxin Li, Jiaxuan Li, Jiayan Li, Jiayang Li, Jiayi Li, Jiaying Li, Jiayu Li, Jiayuan Li, Jiazhou Li, Jicheng Li, Jie Li, Jie-Pin Li, Jie-Shou Li, Jiehan Li, Jiejia Li, Jiejie Li, Jiejing Li, Jieming Li, Jiequn Li, Jieshou Li, Jiexi Li, Jiexin Li, Jiezhen Li, Jifang Li, Jihua Li, Jin Li, Jin-Jiang Li, Jin-Liang Li, Jin-Long Li, Jin-Mei Li, Jin-Ping Li, Jin-Qiu Li, Jin-Wei Li, Jin-Xiu Li, Jinchen Li, Jinfang Li, Jinfeng Li, Jing Li, Jing-Jing Li, Jing-Ming Li, Jing-Yao Li, Jing-Yi Li, Jing-gao Li, Jingcheng Li, Jingchun Li, Jingfeng Li, Jinghao Li, Jinghui Li, Jingjing Li, Jingke Li, Jinglin Li, Jingmei Li, Jingming Li, Jingping Li, Jingqi Li, Jingshang Li, Jingshu Li, Jingtong Li, Jingui Li, Jingwen Li, Jingxia Li, Jingxiang Li, Jingxin Li, Jingya Li, Jingyi Li, Jingyong Li, Jingyu Li, Jingyun Li, Jinhua Li, Jinhui Li, Jinjie Li, Jinku Li, Jinlan Li, Jinliang Li, Jinlin Li, Jinman Li, Jinming Li, Jinping Li, Jinsong Li, Jinwei Li, Jinxia Li, Jinxin Li, Jinzhi Li, Jiong Li, Jiong-Ming Li, Jipeng Li, Jiqing Li, Jisen Li, Jisheng Li, Jiuke Li, Jiuyi Li, Jiwei Li, Jiwen Li, Jixi Li, Jixuan Li, Jiyang Li, Jiyuan Li, John Zhong Li, Jonathan Z Li, Joyce Li, Ju-Rong Li, Juan Li, Juan-Juan Li, Juanjuan Li, Juanling Li, Juanni Li, Jufang Li, Julia Li, Jun Li, Jun Z Li, Jun-Cheng Li, Jun-Jie Li, Jun-Ling Li, Jun-Ru Li, Jun-Yan Li, Jun-Ying Li, JunBo Li, Junfeng Li, Junhong Li, Junhui Li, Junjie Li, Junjun Li, Junming Li, Junping Li, Junqin Li, Junru Li, Junsheng Li, Juntong Li, Junxian Li, Junxin Li, Junxu Li, Junya Li, Junyi Li, Junying Li, Justin Li, Jutang Li, Juxue Li, K-L Li, Ka Li, Ka Wan Li, Kai Li, Kai-Wen Li, Kaibin Li, Kaibo Li, Kaifeng Li, Kailong Li, Kaimi Li, Kainan Li, Kaiwei Li, Kaixin Li, Kaiyi Li, Kaiyuan Li, Kang Li, Kangli Li, Kangyuan Li, Karen Li, Kathy H Li, Kawah Li, Ke Li, KeZhong Li, Keanning Li, Kecheng Li, Kechun Li, Keguo Li, Kejuan Li, Keke Li, Kening Li, Kenli Li, Kenneth Kai Wang Li, Keqing Li, Keshen Li, Keying Li, Keyuan Li, Kezhen Li, Kongdong Li, Kuan Li, Kui Li, Kuiliang Li, Kun Li, Kun-Peng Li, Kun-Ping Li, Kun-Xin Li, Kunlin Li, Kunlong Li, Kunlun Li, Kunpeng Li, L I Li, L K Li, L Li, L P Li, L-Y Li, Lai K Li, Laiqing Li, Lamei Li, Lan Li, Lan-Juan Li, Lan-Lan Li, Lanfang Li, Lang Li, Lanjuan Li, Lanlan Li, Lanzhou Li, Le Li, Le-Le Li, Le-Ying Li, Lei Li, Leilei Li, Leipeng Li, Letai Li, Leyao Li, Li Li, Li-Min Li, Li-Na Li, Lian Li, Lianbing Li, Liang Li, Liangdong Li, Liangji Li, Liangkui Li, Liangqian Li, Lianhong Li, Lianjian Li, Lianyong Li, Liao-Yuan Li, Lieyou Li, Liguo Li, Lihong Li, Lihua Li, Lijia Li, Lijuan Li, Lijun Li, Lili Li, Liliang Li, Liling Li, Liming Li, Lin Li, Lin-Feng Li, Linchuan Li, Linfeng Li, Ling Li, Ling-Jie Li, Ling-Ling Li, Ling-Zhi Li, Lingjiang Li, Lingjie Li, Lingjun Li, Lingling Li, Lingxi Li, Lingyan Li, Lingyi Li, Lingzhi Li, Linhong Li, Linke Li, Linlin Li, Linqi Li, Linqing Li, Linsheng Li, Linting Li, Linxin Li, Linyan Li, Linying Li, Lipeng Li, Liping Li, Liqin Li, Liqun Li, Lirong Li, Lisha Li, Litao Li, Liuzheng Li, Liwei Li, Lixi Li, Lixia Li, Lixiang Li, Liyan Li, Long Li, Long Shan Li, Long-Yan Li, Longhui Li, Longxuan Li, Longyu Li, Lu Li, Lu-Yun Li, Lucia M Li, Lucy Li, Luhan Li, Lujiao Li, Lujie Li, Lulu Li, Luquan Li, Luxuan Li, Luyao Li, Luying Li, M D Li, M Li, M V Li, M-J Li, Man Li, Man-Xiang Li, Man-Zhi Li, Mangmang Li, Manjiang Li, Manna Li, Manru Li, Manxia Li, Mao Li, Maogui Li, Maolin Li, Maoquan Li, Maosheng Li, Marilyn Li, Mei Li, Mei-Lan Li, Mei-Ya Li, Mei-Zhen Li, Meifang Li, Meifen Li, Meijia Li, Meilan Li, Meiqing Li, Meitao Li, Meiting Li, Meiyan Li, Meiying Li, Meiyue Li, Meizi Li, Melody M H Li, Meng Li, Meng-Hua Li, Meng-Jun Li, Meng-Meng Li, Meng-Miao Li, Meng-Yang Li, Meng-Yao Li, Meng-Yue Li, MengGe Li, Mengfan Li, Menghua Li, Mengjiao Li, Mengling Li, Menglu Li, Mengmeng Li, Mengqing Li, Mengqiu Li, Mengsen Li, Mengshi Li, Mengxi Li, Mengxia Li, Mengxuan Li, Mengyang Li, Mengyao Li, Mengying Li, Mengyuan Li, Mengyun Li, Mengze Li, Mi Li, Mian Li, Miao Li, Miao X Li, Miaoxin Li, Michelle Li, Mimi Li, Min Li, Min-Dian Li, Min-Rui Li, Min-jun Li, Minerva X Li, Ming D Li, Ming Li, Ming V Li, Ming Xing Li, Ming Zhou Li, Ming-Han Li, Ming-Hao Li, Ming-Jiang Li, Ming-Kai Li, Ming-Qing Li, Ming-Wei Li, Ming-Xing Li, Ming-Yang Li, Mingdan Li, Mingfang Li, Mingfei Li, Minghao Li, Minghua Li, Minghui Li, Mingjiang Li, Mingjie Li, Mingjun Li, Mingke Li, Mingkun Li, Mingli Li, Minglong Li, Minglun Li, Mingna Li, Mingqiang Li, Mingquan Li, Mingrui Li, Mingwei Li, Mingxi Li, Mingxia Li, Mingxing Li, Mingxu Li, Mingxuan Li, Mingyang Li, Mingyao Li, Mingyue Li, Mingzhe Li, Mingzhou Li, Minhui Li, Minle Li, Minmin Li, Minqi Li, Minyue Li, Minze Li, Minzhe Li, Miyang Li, Mo Li, Mohan Li, Monica M Li, Moyi Li, Mufan Li, Mulin Jun Li, Muzi Li, N Li, Na Li, Naishi Li, Nan Li, Nan-Nan Li, Nana Li, Nanjun Li, Nanlong Li, Nanxing Li, Nanzhen Li, Ni Li, Nianfu Li, Nianyu Li, Nien Li, Nien-Chen Li, Nien-Chi Li, Ning Li, Ningyan Li, Ningyang Li, Niu Li, Nuomin Li, O Li, P H Li, P Li, Pan Li, Panlong Li, Panyuan Li, Pei Li, Pei-Lin Li, Pei-Qin Li, Pei-Shan Li, Pei-Ying Li, Pei-Zhi Li, PeiQi Li, Peibo Li, Peifen Li, Peifeng Li, Peihong Li, Peihua Li, Peilin Li, Peilong Li, Peining Li, Peipei Li, Peiqin Li, Peiran Li, Peiwu Li, Peixin Li, Peiyu Li, Peiyuan Li, Peiyun Li, Peng Li, Peng Peng Li, Peng-li Li, Pengcui Li, Penghui Li, Pengjie Li, Pengju Li, Pengsong Li, Pengyang Li, Pengyu Li, Pengyun Li, Pik Yi Li, Pilong Li, Pindong Li, Ping Li, Ping'an Li, Pinghua Li, Pingping Li, Pu Li, Pu-Yu Li, Q Li, Qi Li, Qi-Fu Li, Qi-Jing Li, Qian Li, Qian-Qian Li, Qiang Li, Qiang-Ming Li, Qiankun Li, Qianqian Li, Qiao Li, Qiao-Xin Li, Qiaolian Li, Qiaoqiao Li, Qibing Li, Qifang Li, Qihang Li, Qihua Li, Qiji Li, Qijun Li, Qilan Li, Qilong Li, Qin Li, Qiner Li, Qing Li, Qing Run Li, Qing-Chang Li, Qing-Fang Li, Qing-Min Li, Qing-Wei Li, Qingchao Li, Qingfang Li, Qingfeng Li, Qinggang Li, Qinghe Li, Qinghong Li, Qinghua Li, Qingjie Li, Qinglan Li, Qingli Li, Qinglin Li, Qingling Li, Qingqin S Li, Qingrun Li, Qingshang Li, Qingsheng Li, Qingxian Li, Qingyang Li, Qingyu Li, Qingyuan Li, Qingyun Li, Qinqin Li, Qinrui Li, Qintong Li, Qiong Li, Qionghua Li, Qipei Li, Qiqiong Li, Qiu Li, Qiufeng Li, Qiuhong Li, Qiusheng Li, Qiuxuan Li, Qiuya Li, Qiuyan Li, Qiwei Li, Qiyong Li, Qizhai Li, Quan Li, Quan-Zhong Li, Quanpeng Li, Quanshun Li, Quanzhang Li, Qun Li, R H L Li, R Li, Ran Li, Ranchang Li, Ranran Li, Ranwei Li, Ren Li, Ren-Ke Li, Rena Li, Roger Li, Ronald Li, Rong Li, Rong-Bing Li, Ronggui Li, Rongkai Li, Rongling Li, Rongqing Li, Rongsong Li, Rongxia Li, Rongyao Li, Rosa J W Li, Ru Li, Ru-Hao Li, Rui Li, Rui-Fang Li, Rui-Han Li, Rui-Jún Eveline Li, Ruibing Li, Ruidong Li, Ruifang Li, Ruihuan Li, Ruijia Li, Ruijin Li, Ruikai Li, Ruitong Li, Ruiwen Li, Ruixi Li, Ruixia Li, Ruixue Li, Ruiyang Li, Rujia Li, Rulin Li, Rumei Li, Runbing Li, Runwen Li, Runzhao Li, Runzhen Li, Runzhi Li, Ruobing Li, Ruolin Li, Ruonan Li, Ruotai Li, Ruotian Li, Ruotong Li, Ruyi Li, Ruyue Li, S A Li, S E Li, S L Li, S Li, S S Li, S-C Li, Sai Li, Saijuan Li, Sainan Li, San-Feng Li, Sanqiang Li, Senlin Li, Senmao Li, Sha Li, Sha-Sha Li, Shan Li, Shan-Shan Li, Shangjia Li, Shanglai Li, Shangming Li, Shanhang Li, Shanpeng Li, Shanshan Li, Shanyi Li, Shao-Dan Li, Shaobin Li, Shaodan Li, Shaofei Li, Shaoguang Li, Shaojian Li, Shaojing Li, Shaoliang Li, Shaomin Li, Shaoqi Li, Shaoyong Li, Shasha Li, Shawn S C Li, Shawn Shun-Cheng Li, Shen Li, Sheng Li, Sheng-Fu Li, Sheng-Jie Li, Sheng-Qing Li, Sheng-Tien Li, Shengbiao Li, Shengbin Li, Shengchao A Li, Shenghao Li, Shengjie Li, Shengli Li, Shengliang Li, Shengsheng Li, Shengwen Li, Shengxian Li, Shengxu Li, Shengze Li, Sherly X Li, Shi Li, Shi-Fang Li, Shi-Guang Li, Shi-Hong Li, Shi-Ying Li, Shibao Li, Shibo Li, Shichao Li, Shigang Li, Shihao Li, Shiheng Li, Shihong Li, Shijie Li, Shijun Li, Shikang Li, Shilan Li, Shili Li, Shiliang Li, Shilin Li, Shilun Li, Shiqi Li, Shiquan Li, Shisheng Li, Shishi Li, Shitao Li, Shiya Li, Shiyan Li, Shiyang Li, Shiyi Li, Shiying Li, Shiyu Li, Shiyue Li, Shiyun Li, Shu Li, Shu-Fang Li, Shu-Fen Li, Shu-Feng Li, Shu-Hong Li, Shu-Qi Li, Shu-Xin Li, Shuai Li, Shuaicheng Li, Shuang Li, Shuang-Ling Li, Shuangding Li, Shuangfei Li, Shuanglong Li, Shuangmei Li, Shuangshuang Li, Shuangxiu Li, Shubo Li, Shude Li, Shufen Li, Shugang Li, Shuguang Li, Shuhao Li, Shuhua Li, Shuhui Li, Shujiao Li, Shujie Li, Shujin Li, Shujing Li, Shulin Li, Shun Li, Shunhua Li, Shunle Li, Shunqin Li, Shunqing Li, Shunwang Li, Shuo Li, Shupeng Li, Shuqiang Li, Shuwei Li, Shuwen Li, Shuying Li, Shuyu D Li, Shuyu Dan Li, Shuyuan Li, Shuyue Li, Si Li, Si-Wei Li, Si-Xing Li, Si-Ying Li, Si-Yuan Li, Sibing Li, Sichen Li, Sichong Li, Side Li, Siguang Li, Sijie Li, Simin Li, Siming Li, Sin-Lun Li, Siqi Li, Sitao Li, Siting Li, Siwen Li, Siyi Li, Siyu Li, Siyue Li, Song Li, Song-Chao Li, Songhan Li, Songlin Li, Songtao Li, Songyu Li, Songyun Li, Stephen Li, Su Li, SuYun Li, Suchun Li, Suheng Li, Suhong Li, Suiyan Li, Sujing Li, Suk-Yee Li, Sumei Li, Sunan Li, Sung-Chou Li, Supeng Li, Suping Li, Suran Li, Suwei Li, Suwen Li, Suyan Li, T Li, Taibo Li, Taiwen Li, Taixu Li, Tao Li, Taoyingnan Li, Teng Li, Tengyan Li, Thomas Li, Tian Li, Tian-Yi Li, Tian-chang Li, Tian-wang Li, Tianchang Li, Tiandong Li, Tianfeng Li, Tiange Li, Tianjiao Li, Tianjun Li, Tianming Li, Tiansen Li, Tiantian Li, Tianxiang Li, Tianyao Li, Tianye Li, Tianyi Li, Tianyou Li, Tie Li, Tiegang Li, Tiehua Li, Tiewei Li, Timmy Li, Ting Li, Tingguang Li, Tinghao Li, Tinghua Li, Tingsong Li, Tingting Li, Tong Li, Tong-Ruei Li, Tongyao Li, Tongzheng Li, Tsai-Kun Li, Tuojian Li, Tuoping Li, Vivian Li, Vivian S W Li, W H Li, W J Li, W Li, W W Li, W Y Li, W-B Li, Wan Jie Li, Wan Li, Wan-Hong Li, Wan-Shan Li, Wan-Xin Li, Wang Li, Wanling Li, Wanni Li, Wanqian Li, Wanru Li, Wanshi Li, Wanshun Li, Wanting Li, Wanwan Li, Wanxin Li, Wanyan Li, Wanyi Li, Wei Li, Wei-Bo Li, Wei-Dong Li, Wei-Jun Li, Wei-Li Li, Wei-Ming Li, Wei-Na Li, Wei-Ping Li, Wei-Qin Li, Wei-Yang Li, Weidong Li, Weifeng Li, Weiguang Li, Weiguo Li, Weihai Li, Weiheng Li, Weihua Li, Weijian Li, Weijie Li, Weijun Li, Weike Li, Weiling Li, Weimin Li, Weina Li, Weining Li, Weiping Li, Weiqin Li, Weirong Li, Weisong Li, Weiyang Li, Weiye Li, Weiyong Li, Weizu Li, Wen Lan Li, Wen Li, Wen-Chao Li, Wen-Jie Li, Wen-Ting Li, Wen-Wen Li, Wen-Xi Li, Wen-Xing Li, Wen-Ya Li, Wen-Ying Li, Wen-juan Li, Wenbo Li, Wenchao Li, Wende Li, Wendeng Li, Wenfang Li, Wenfeng Li, Wenge Li, Wenguo Li, Wenhao Li, Wenhong Li, Wenhua Li, Wenhui Li, Wenjia Li, Wenjian Li, Wenjie Li, Wenjing Li, Wenjuan Li, Wenjun Li, Wenke Li, Wenlei Li, Wenli Li, Wenlong Li, Wenming Li, Wenqi Li, Wenqiang Li, Wenqing Li, Wenqun Li, Wenrui Li, Wensheng Li, Wentao Li, Wenwen Li, Wenxi Li, Wenxia Li, Wenxiang Li, Wenxin Li, Wenxiu Li, Wenxue Li, Wenyan Li, Wenyang Li, Wenyi Li, Wenying Li, Wenyong Li, Wenyu Li, Wenzhe Li, Wenzhuo Li, Wu-Jun Li, Wuguo Li, Wulan Li, Wuyan Li, X B Li, X L Li, X Li, X Y Li, X-H Li, X-L Li, Xi Li, Xi-Hai Li, Xi-Xi Li, Xia Li, Xian Li, Xiancheng Li, Xiang Li, Xiang-Dong Li, Xiang-Jun Li, Xiang-Ping Li, Xiang-Yu Li, Xiangcheng Li, Xiangchun Li, Xiangdong Li, Xiangfei Li, Xiangjun Li, Xiangling Li, Xianglong Li, Xiangnan Li, Xiangpan Li, Xiangping Li, Xiangqi Li, Xiangrui Li, Xiangwei Li, Xiangyan Li, Xiangyang Li, Xiangyun Li, Xiangzhe Li, Xiankai Li, Xiankun Li, Xianlin Li, Xianlong Li, Xianlu Li, Xianlun Li, Xianrui Li, Xianyong Li, Xiao Li, Xiao-Cheng Li, Xiao-Dong Li, Xiao-Feng Li, Xiao-Gang Li, Xiao-Guang Li, Xiao-Hong Li, Xiao-Hui Li, Xiao-Jiao Li, Xiao-Jing Li, Xiao-Jun Li, Xiao-Kang Li, Xiao-Li Li, Xiao-Lin Li, Xiao-Long Li, Xiao-Min Li, Xiao-Na Li, Xiao-Qiang Li, Xiao-Qin Li, Xiao-Qiu Li, Xiao-Sa Li, Xiao-Tong Li, Xiao-Yao Li, Xiao-Yun Li, Xiao-kun Li, Xiao-mei Li, Xiao-xu Li, Xiao-yu Li, XiaoQiu Li, Xiaobai Li, Xiaobin Li, Xiaobing Li, Xiaobo Li, Xiaochen Li, Xiaochun Li, Xiaocun Li, Xiaodong Li, Xiaofang Li, Xiaofei Li, Xiaofeng Li, Xiaoguang Li, Xiaohan Li, Xiaoheng Li, Xiaohong Li, Xiaohu Li, Xiaohua Li, Xiaohuan Li, Xiaohui Li, Xiaojiao Li, Xiaojiaoyang Li, Xiaojing Li, Xiaoju Li, Xiaojuan Li, Xiaokun Li, Xiaolei Li, Xiaoli Li, Xiaolian Li, Xiaoliang Li, Xiaolin Li, Xiaoling Li, Xiaolong Li, Xiaoman Li, Xiaomei Li, Xiaomeng Li, Xiaomin Li, Xiaoming Li, Xiaona Li, Xiaonan Li, Xiaoning Li, Xiaopeng Li, Xiaoping Li, Xiaoqi Li, Xiaoqiang Li, Xiaoqin Li, Xiaoqing Li, Xiaoqiong Li, Xiaoquan Li, Xiaoran Li, Xiaorong Li, Xiaotian Li, Xiaoting Li, Xiaotong Li, Xiaowei Li, Xiaoxia Li, Xiaoxiao Li, Xiaoxiong Li, Xiaoxuan Li, Xiaoya Li, Xiaoyan Li, Xiaoyao Li, Xiaoyi Li, Xiaoying Li, Xiaoyong Li, Xiaoyu Li, Xiaoyuan Li, Xiaoyun Li, Xiaozhao Li, Xiaozhen Li, Xiaozheng Li, Xiatian Li, Xiawei Li, Xiaxia Li, Xiayu Li, Xidan Li, Xihao Li, Xihe Li, Xijing Li, Xikun Li, Xiliang Li, Ximei Li, Xin Li, Xin-Chang Li, Xin-Jian Li, Xin-Ping Li, Xin-Tao Li, Xin-Ya Li, Xin-Yu Li, Xin-Yue Li, Xin-Zhu Li, Xinbin Li, Xing Li, Xing-Wang Li, Xingchen Li, Xingcheng Li, Xingfang Li, Xinghuan Li, Xinghui Li, Xingli Li, Xinglong Li, Xingwang Li, Xingxing Li, Xingya Li, Xingye Li, Xingyu Li, Xingyuan Li, Xinhai Li, Xinhua Li, Xinhui Li, Xining Li, Xinjia Li, Xinjian Li, Xinke Li, Xinle Li, Xinli Li, Xinlin Li, Xinmei Li, Xinmiao Li, Xinmin Li, Xinming Li, Xinpeng Li, Xinping Li, Xinrong Li, Xinrui Li, Xinsheng Li, Xinwei Li, Xinxin Li, Xinxiu Li, Xinyan Li, Xinyang Li, Xinyao Li, Xinye Li, Xinyi Li, Xinyu Li, Xinyuan Li, Xinzhi Li, Xinzhong Li, Xiong Bing Li, Xiong Li, Xiongfeng Li, Xionghao Li, Xionghui Li, Xiu-Ling Li, Xiucui Li, Xiufeng Li, Xiujuan Li, Xiuli Li, Xiuling Li, Xiumei Li, Xiuqi Li, Xiurong Li, Xiushen Li, Xiushi Li, Xiuzhen Li, Xixi Li, Xiying Li, Xiyue Li, Xiyun Li, Xu Li, Xu-Bo Li, Xu-Wei Li, Xu-Zhao Li, Xuan Li, Xuan-Ling Li, Xuanfei Li, Xuanxuan Li, Xuanzheng Li, Xudong Li, Xue Cheng Li, Xue Li, Xue-Er Li, Xue-Fei Li, Xue-Hua Li, Xue-Lian Li, Xue-Min Li, Xue-Nan Li, Xue-Peng Li, Xue-Yan Li, Xue-Ying Li, Xue-jing Li, Xue-zhi Li, Xuebiao Li, Xueer Li, Xuefei Li, Xuefeng Li, Xuehua Li, Xuejie Li, Xuejun Li, Xuekun Li, Xuelian Li, Xuelin Li, Xueling Li, Xuemei Li, Xuemin Li, Xuening Li, Xuepeng Li, Xueqin Li, Xueren Li, Xueshan Li, Xuesong Li, Xueting Li, Xuewang Li, Xuewei Li, Xuewen Li, Xueyang Li, Xueyi Li, Xueying Li, Xuezhong Li, Xuhang Li, Xuhong Li, Xuhua Li, Xujun Li, Xun Li, Xunjia Li, Xuri Li, Xutong Li, Xuyi Li, Xuze Li, Y H Li, Y L Li, Y Li, Y M Li, Y X Li, Y-Y Li, Ya Li, Ya-Feng Li, Ya-Ge Li, Ya-Jun Li, Ya-Li Li, Ya-Pei Li, Ya-Qiang Li, Ya-Ting Li, Ya-Zhou Li, YaJie Li, Yadong Li, Yahui Li, Yajiao Li, Yajing Li, Yajuan Li, Yajun Li, Yakui Li, Yalan Li, Yali Li, Yalin Li, Yan Bing Li, Yan Li, Yan Ning Li, Yan-Chun Li, Yan-Guang Li, Yan-Hong Li, Yan-Hua Li, Yan-Li Li, Yan-Nan Li, Yan-Xue Li, Yan-Yan Li, Yan-Yu Li, Yanan Li, Yanbin Li, Yanbing Li, Yanbo Li, Yanchang Li, Yanchuan Li, Yanchun Li, Yandong Li, Yanfeng Li, Yang Li, Yangxue Li, Yangyang Li, Yanhui Li, Yani Li, Yanjiao Li, Yanjie Li, Yanjing Li, Yanjun Li, Yanli Li, Yanlin Li, Yanling Li, Yanlong Li, Yanmei Li, Yanmin Li, Yanming Li, Yanni Li, Yanping Li, Yanqing Li, Yansen Li, Yanshu Li, Yansong Li, Yantao Li, Yanwei Li, Yanwu Li, Yanxi Li, Yanxiang Li, Yanxin Li, Yanyan Li, Yanying Li, Yanze Li, Yanzhong Li, Yao Li, Yaobo Li, Yaochen Li, Yaodong Li, Yaofu Li, Yaojia Li, Yaokun Li, Yaoqi Li, Yaoyao Li, Yaqi Li, Yaqiang Li, Yaqiao Li, Yaqin Li, Yaqing Li, Yaqiong Li, Yarong Li, Yawei Li, Yaxi Li, Yaxian Li, Yaxiong Li, Yaxuan Li, Yaying Li, Yayu Li, Yazhou Li, Ye Li, Yehong Li, Yeshan Li, Yetian Li, Yi Li, Yi-Heng Li, Yi-Ling Li, Yi-Ning Li, Yi-Shuan J Li, Yi-Ting Li, Yi-Wen Li, Yi-Yang Li, Yi-Ying Li, Yi-Yun Li, YiPing Li, YiQing Li, Yibo Li, Yiche Li, Yicun Li, Yifan Li, Yifei Li, Yifeng Li, Yige Li, Yihan Li, Yihao Li, Yiheng Li, Yihong Li, Yijian Li, Yijie Li, Yijing Li, Yiju Li, Yikang Li, Yike Li, Yilang Li, Yiliang Li, Yilong Li, Yimei Li, Yimeng Li, Yiming Li, Yin Li, Yinan Li, Ying Li, Ying-Bo Li, Ying-Lan Li, Ying-Qin Li, Ying-Qing Li, Ying-na Li, Yinggao Li, Yinghao Li, Yinghua Li, Yinghui Li, Yingjian Li, Yingjie Li, Yingjun Li, Yinglin Li, Yingnan Li, Yingpu Li, Yingqin Li, Yingrui Li, Yingshuo Li, Yingxi Li, Yingxia Li, Yingyi Li, Yingying Li, Yinhao Li, Yining Li, Yinliang Li, Yinxiong Li, Yinyan Li, Yinzhen Li, Yipeng Li, Yiqiang Li, Yirun Li, Yitong Li, 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articles
Shounan Lu, Shanjia Ke, Hongjun Yu +18 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Cancer-associated fibroblasts (CAFs) drive immunosuppression in hepatocellular carcinoma (HCC). However, their metabolic regulation remains poorly defined. We investigated the role of nicotinamide N-m Show more
Cancer-associated fibroblasts (CAFs) drive immunosuppression in hepatocellular carcinoma (HCC). However, their metabolic regulation remains poorly defined. We investigated the role of nicotinamide N-methyltransferase (NNMT) in CAFs. High NNMT expression in CAF tissues was confirmed by western blotting and immunofluorescence staining. Primary CAFs from HCC patients, single-cell RNA-seq (GSE149614), patient-derived organoids (PDOs), and fibroblast-specific NNMT-knockout mice were integrated by metabolomic analyses. NNMT in CAFs binds EZH2 and impedes its nuclear translocation, thereby reducing H3K27me3 enrichment at the promoter of angiopoietin-like 4 (ANGPTL4) to increase ANGPTL4 secretion. Secreted ANGPTL4 engages GLUT1 in HCC cells, activating aerobic glycolysis and increasing histone H3K18la levels. This epigenetic reprogramming transcriptionally upregulates PD-L1 expression, thereby facilitating tumor immune evasion. Additionally, CAF-derived ANGPTL4 promotes angiogenesis in HCC. Therapeutically, targeting the NNMT-ANGPTL4 axis restored CD8 We identified an NNMT-ANGPTL4-driven metabolic-epigenetic cascade in CAFs that induces PD-L1-mediated immune evasion, providing a therapeutic strategy to overcome resistance to immunotherapy in patients with HCC. Show less
no PDF DOI: 10.1002/advs.202521418
ANGPTL4
Yingying Li, Min Xu, Wen Li +3 more · 2026 · Frontiers in molecular biosciences · Frontiers · added 2026-04-24
Ulcerative colitis (UC) is characterized by chronic colonic mucosal inflammation, with its pathogenesis involving multidimensional interactions and limitations in clinical treatment. Dietary restricti Show more
Ulcerative colitis (UC) is characterized by chronic colonic mucosal inflammation, with its pathogenesis involving multidimensional interactions and limitations in clinical treatment. Dietary restriction (DR) is a commonly used approach for UC patients to alleviate symptoms, and exploring the role of DR-related genes in UC could provide new directions for the development of precision therapies. Bioinformatics analysis was performed on UC-related datasets (GSE75214, GSE73661) obtained from the GEO database. Candidate genes were acquired by intersecting differentially expressed genes (DEGs) with dietary restriction-related genes (DRRGs). Subsequently, key genes were identified via machine learning algorithms and ROC curve analysis. A deep neural network (DNN) model and a diagnostic nomogram were constructed. In addition, gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), immune infiltration analysis, and single-cell RNA sequencing (scRNA-seq) analysis were conducted. Finally, the expression of key genes was validated through experiments. CPT1A, ANGPTL4, and CLDN1 were identified as the key genes. The deep neural network (DNN) model achieved area under the curve (AUC) values of 0.914 and 0.933 in the two datasets, respectively; the diagnostic nomogram exhibited high predictive performance (AUC > 0.7), and decision curve analysis (DCA) revealed its potential clinical net benefit. Enrichment analyses demonstrated that the key genes were significantly enriched in dietary restriction (DR)-related pathways, including cytokine-receptor interaction, the IL2-STAT5 signaling pathway, and fatty acid metabolism. Thirty-two activated pathways and five inhibited pathways were detected in UC patients (e.g., the oxidative phosphorylation pathway was suppressed). Immune infiltration analysis identified 27 differentially infiltrating immune cell types. CLDN1 was localized to epithelial cells, ANGPTL4 to fibroblasts, and CPT1A to endothelial cells. Macrophages were identified as a signaling hub in UC, showing intensified crosstalk with stromal and vascular cells via pathways such as ACKR1. Experimental validation confirmed that ANGPTL4 and CLDN1 were highly expressed in UC, whereas CPT1A was lowly expressed, a pattern consistent with the expression trends observed in public database analyses. These results indicated that CPT1A, ANGPTL4, and CLDN1 are involved in the pathological regulation of UC by DR through modulating the metabolism-immune-barrier axis, providing novel biomarkers and potential intervention targets for the clinical diagnosis and targeted therapy of UC. Show less
📄 PDF DOI: 10.3389/fmolb.2026.1786138
ANGPTL4
Xinpeng Li, Siqi Jin, Hong Hu +18 more · 2026 · Frontiers in microbiology · Frontiers · added 2026-04-24
Protein feed resource shortage is a major constraint to the sustainable development of the livestock industry and a bottleneck problem hindering the growth of the Tibetan pig industry in China's Qingh Show more
Protein feed resource shortage is a major constraint to the sustainable development of the livestock industry and a bottleneck problem hindering the growth of the Tibetan pig industry in China's Qinghai-Tibet Plateau region. Walnut meal, rich in protein, holds promise as a substitute for soybean meal. However, the effects and underlying mechanisms of walnut meal substitution on Tibetan pigs in Diqing remain unclear. The study showed that substituting 50% of soybean meal with walnut meal in the diet of Diqing Tibetan pigs significantly reduced backfat thickness and increased intramuscular fat content ( This study reveals that walnut meal can serve as a substitute for soybean meal, and a 50% substitution ratio is conducive to intramuscular fat deposition in Diqing Tibetan pigs. The findings provide valuable insights for the development and application of unconventional protein feed resources, and offer new perspectives for the production of marbled pork. Show less
📄 PDF DOI: 10.3389/fmicb.2026.1794046
ANGPTL4
Haiyang Fan, Yuanyang Tan, Junhang Zhang +19 more · 2026 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Pulmonary infections and fibrosis remain difficult to treat because current interventions target isolated pathways rather than the coupled axes of inflammation, barrier integrity, and tissue remodelin Show more
Pulmonary infections and fibrosis remain difficult to treat because current interventions target isolated pathways rather than the coupled axes of inflammation, barrier integrity, and tissue remodeling. Here, it is shown that inhalationally delivered, lung-targeted antisense oligonucleotides against angiopoietin-like 4 (Angptl4-ASO) attenuate both infectious and fibrotic lung disease. In murine models of bacterial and viral pneumonia, Angptl4-ASO reduces inflammatory cell infiltration, preserves alveolar architecture, and improves host defence. In bleomycin-induced fibrosis, treatment lowered Ashcroft scores, collagen deposition, and α-smooth muscle actin (SMA) expression, indicating broad efficacy across acute and chronic injury. Comparative transcriptomics reveal model-specific responses, immune and oxidative-stress programs in pneumonia versus extracellular matrix (ECM)-remodeling pathways in fibrosis, yet nearly half of all changes converge on a shared ANGPTL4-regulated network linking hypoxic, inflammatory, apoptotic, and stress response programs. This conserved signature suggests that ANGPTL4 functions as a central regulator of injury resolution regardless of the initiating insult. Mechanistically, Angptl4-ASO reinforced epithelial barrier integrity through coordinated regulation of tight junction and glycoprotein pathways. Longitudinal tracking of a Sulfo-Cyanine 5 (Cy5)-conjugated Angptl4-ASO confirmed a lung-retentive biodistribution, with sustained intrapulmonary localization and minimal systemic dissemination over a 144-hour window. Collectively, these findings position inhaled ANGPTL4-ASO as a host-directed, multi-axis therapeutic strategy that addresses shared and context-specific drivers of diverse pulmonary pathologies. Show less
no PDF DOI: 10.1002/advs.202501909
ANGPTL4
Xun Chen, Jian Wan, Zhengwu Jiang +4 more · 2026 · Neoplasia (New York, N.Y.) · Elsevier · added 2026-04-24
Hepatocellular carcinoma (HCC) exhibits high recurrence rates and limited therapeutic options. Endothelial cell-specific molecule 1 (ESM1) and angiopoietin-like 4 (ANGPTL4) are implicated in tumor pro Show more
Hepatocellular carcinoma (HCC) exhibits high recurrence rates and limited therapeutic options. Endothelial cell-specific molecule 1 (ESM1) and angiopoietin-like 4 (ANGPTL4) are implicated in tumor progression, yet their synergistic role in HCC lipid metabolism and angiogenesis remains unexplored. We integrated multi-omics approaches, including RNA sequencing, metabolomics, and immunoprecipitation-mass spectrometry, in HCC cell lines and patient-derived xenograft models. Key experiments involved Co-IP, Western blotting, tube formation assays, and clinical tissue microarray analysis to validate the ESM1-ANGPTL4-FASN-trioleate axis. ESM1 and ANGPTL4 formed a positive feedback loop, stabilizing fatty acid synthase (FASN) to promote trioleate synthesis. Trioleate activated the NF-κB/IL-17 pathway in HCC cells and upregulated CD99 in endothelial cells, driving angiogenesis. In vivo, ESM1/ANGPTL4 knockdown suppressed tumor growth, which was rescued by trioleate supplementation. Clinical data revealed elevated ESM1/ANGPTL4 expression in bevacizumab-resistant HCC, correlating with poor prognosis. The ESM1-ANGPTL4-FASN-trioleate axis orchestrates metabolic reprogramming and endothelial activation, representing a promising therapeutic target. Future studies should explore combination therapies targeting this axis and overcoming bevacizumab resistance in HCC. Show less
📄 PDF DOI: 10.1016/j.neo.2026.101298
ANGPTL4
Jin Zhang, Tian Wei, Yong-Wei Xiong +11 more · 2026 · Science advances · Science · added 2026-04-24
Recently, the perspective of paternal origin has emerged, yet its role in motor disorders remains unclear. Here, using
📄 PDF DOI: 10.1126/sciadv.aea8321
ANGPTL4
Jiexin Yu, Xingyu Li, Yanli Liu · 2026 · Journal of diabetes investigation · Blackwell Publishing · added 2026-04-24
This study investigated the molecular mechanisms by which ginsenoside Rg3 combined with ranibizumab alleviates diabetic macular edema (DME), focusing on antagonizing ANGPTL4/VEGF and regulating the NR Show more
This study investigated the molecular mechanisms by which ginsenoside Rg3 combined with ranibizumab alleviates diabetic macular edema (DME), focusing on antagonizing ANGPTL4/VEGF and regulating the NRP/RhoA pathway to reduce vascular permeability. Transcriptomic sequencing compared blood samples from DME patients and healthy controls, followed by GO/KEGG enrichment analysis. In vitro, human retinal microvascular endothelial cells (HRMECs) were treated with ginsenoside Rg3 (5, 10, 20 μM) alone or combined with ranibizumab (1 mg/mL); cell viability, permeability, and protein expression were assessed. In vivo, diabetic rats received intraperitoneal ginsenoside Rg3 and ranibizumab; ocular pathology, angiogenesis, inflammation, and key protein expression/activity were evaluated. DME patients exhibited significant upregulation of VEGF, ANGPTL4, NRP1 (logFC = 1.9, P < 0.01), and RhoA, associated with angiogenesis/migration/inflammation pathways. In vitro, 10 μM ginsenoside Rg3 optimally reduced HRMEC permeability and suppressed ANGPTL4. Combination therapy further decreased VEGF and ANGPTL4 expression. In vivo, combined treatment significantly reduced retinal edema, angiogenesis, and vascular permeability. It markedly inhibited NRP1 expression and reduced RhoA/ROCK activity. The combination of ginsenoside Rg3 and ranibizumab effectively antagonizes ANGPTL4 and VEGF and regulates the NRP/RhoA pathway, significantly reducing vascular permeability in DME through synergistic action. This provides crucial theoretical support for novel DME combination therapy. Show less
no PDF DOI: 10.1111/jdi.70285
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Wei Wang, Jianrong Ren, Jing Li +11 more · 2026 · Science China. Life sciences · Springer · added 2026-04-24
Volatile fatty acids (VFAs) provide more than 70% of the energy source for the ruminants. Understanding the host-microbiota regulation of VFAs production and utilization is highly important for optimi Show more
Volatile fatty acids (VFAs) provide more than 70% of the energy source for the ruminants. Understanding the host-microbiota regulation of VFAs production and utilization is highly important for optimizing the feed energy utilization efficiency of ruminants. Here, we conducted whole-genome resequencing, rumen transcriptome sequencing, 16S rRNA gene amplicon sequencing, and VFA concentration determination in 530 Holstein bulls. We treated VFA concentrations as complex traits to perform multi-omics association analyses. The host genetics, rumen microbiota, and rumen expressed genes, on average, explained 23%, 58%, and 61% of the variations in VFAs with the same diet, respectively. We found that the rumen microbial composition and community structure differed significantly between the high and low VFA individuals. We further identified 11 microbes with potential causal relationships with rumen VFAs via the Mendelian randomization method, among which Bacteroidales_RF16_group, Prevotella, Clostridia_UCG-014, and [Eubacterium]_ventriosum_group were positively correlated with acetic acid, propionic acid, and butyric acid. Conversely, rumen epithelial genes involved in fatty acid β-oxidation (e.g., HSD17B4, ACADVL, ACADL, CPT1A, and ANGPTL4) were negatively correlated with the main VFAs and VFA-producing bacteria. These candidate microbes and genes suggest that the host-microbe coregulating mechanism facilitates the efficient production and utilization of rumen VFAs in ruminants. Our study provides a comprehensive perspective on the complex dynamic regulatory patterns of rumen VFAs, highlighting the crucial role of host-microbe interactions in optimizing the feed utilization of ruminants. Show less
📄 PDF DOI: 10.1007/s11427-025-3206-7
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Ziwen Li, Lipeng Guan, Tong Mu +11 more · 2026 · Diabetes · added 2026-04-24
Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults and often progresses to proliferative diabetic retinopathy (PDR) with irreversible complications. Anti-vascular endoth Show more
Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults and often progresses to proliferative diabetic retinopathy (PDR) with irreversible complications. Anti-vascular endothelial growth factor (VEGF) therapy remains the first-line treatment; however, resistance poses a significant challenge, necessitating alternative therapeutic targets. This study explores the role of angiopoietin-like protein 4 (ANGPTL4) in PDR pathogenesis, emphasizing vascular-immune-lymphatic interactions. We found significantly elevated ANGPTL4 and VEGF-C levels in the vitreous humor of patients with PDR, which were not affected by anti-VEGF therapy. In vivo, full-length ANGPTL4 and its C-terminal fragment promoted pathological angiogenesis and lymphatic-like remodeling in diabetic murine retinas, characterized by increased lymphatic vessel endothelial hyaluronan receptor 1, prospero homeobox 1, and VEGF receptor 3 (VEGFR3) expression. Single-cell sequencing further revealed ANGPTL4-driven immune dysregulation, with abnormal infiltration of CD4+ T cells and dendritic cells. Knockdown of ANGPTL4 in mice with oxygen-induced retinopathy alleviated retinal hypoxia, neovascularization, and vascular leakage. Mechanistically, retinal hypoxia markedly increased ANGPTL4 expression levels in the retina, which activated the activator protein-1 (AP-1) transcription factor complex and promoted Cd83 transcription in mouse heart microvascular endothelial cells. Additionally, ANGPTL4 bound to neuropilin-1 (NRP1)/VEGFR3, driving human lymphatic endothelial cell proliferation and lymphatic vessel ingrowth from the optic nerve sheath into the retina, a finding that suggests a novel pathway independent of angiopoietin-Tie signaling. These findings establish ANGPTL4 as a key mediator of immune-vascular interactions in PDR and a potential therapeutic target to address both pathological angiogenesis and lymphatic dysfunction. Some patients with proliferative diabetic retinopathy (PDR) have poor responses to anti-vascular endothelial growth factor (anti-VEGF) therapy. This situation highlights the need for additional therapeutic approaches. In proliferative diabetic retinopathy, what is the role of ANGPTL4 that differs from VEGF? We found that ANGPTL4 is elevated in the vitreous humor of patients with PDR who are poorly responsive to anti-VEGF therapy. ANGPTL4, particularly its C-terminal fragment, causes retinal lymphatic-like remodeling in diabetic mice. This study provides novel insights into the complex interplay between immune activation, neovascularization, and lymphatic-like remodeling in PDR. Our findings deepen our understanding of PDR pathophysiology and propose a promising therapeutic target. Show less
no PDF DOI: 10.2337/db25-0445
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Le Yang, Ye Sun, Chuanning Li +9 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Damp-heat gout (DHG) is a highly certified type of disease integrated with syndrome in TCM. The ambiguity of its pathomechanism and the lack of quantifiable indicators limit its clinical accurate diag Show more
Damp-heat gout (DHG) is a highly certified type of disease integrated with syndrome in TCM. The ambiguity of its pathomechanism and the lack of quantifiable indicators limit its clinical accurate diagnosis and treatment. This study aimed to elucidate the pathological mechanism of DHG and establish a symptom-centered diagnostic and therapeutic model. We recruited 136 participants, comprising healthy controls (HCs) and DHG patients. Serum metabolomics and proteomics analyses were performed to screen common pathways. Based on the biological significance of these common pathways, a symptom-pathway correlation network was constructed to clarify the pathological mechanisms driving DHG occurrence and progression. Enrichment scores and correlations with key DHG symptoms were used to identify critical pathways. Differential metabolites and proteins associated with these critical pathways served to establish a multi-index diagnostic model and identify potential therapeutic protein targets. Integrated metabolomic and proteomic analyses revealed 21 common pathways associated with DHG. Four crucial pathways, such as Bile secretion, Cholesterol metabolism, Purine metabolism, Arachidonic acid metabolism, were exhibited significant correlations with core DHG symptoms. Furthermore, six pathway-related biomarkers were identified: Hypoxanthine, Prostaglandin E2, Uric acid, Deoxycholic acid, Taurochenodeoxycholic acid, and Bilirubin. The combined diagnostic efficacy of these biomarkers was optimal (discovery cohort: AUC = 0.987; validation cohort: AUC = 0.997). Six protein targets were identified from the crucial pathways, including ATP1A1, APRT, ANGPTL4, GLUT1, PTGES3 and LIPA. This study establishes a symptom-centered diagnostic and therapeutic model for DHG utilizing the identified biomarkers and clarifies the involvement of critical metabolic pathways in DHG pathogenesis, providing novel targets for improved clinical diagnosis and therapy. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1677920
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Yingping Ma, Hongyu Wang, Xinman Dou +1 more · 2026 · Frontiers in immunology · Frontiers · added 2026-04-24
Brain metastasis significantly worsens prognosis in late-stage cancer., with Its treatment hindered by the blood-brain barrier (BBB) and an immunosuppressive tumor microenvironment. Within this enviro Show more
Brain metastasis significantly worsens prognosis in late-stage cancer., with Its treatment hindered by the blood-brain barrier (BBB) and an immunosuppressive tumor microenvironment. Within this environment, tumor-associated macrophages (TAMs) represent the predominant immune population. Through their roles in immune modulation, angiogenesis, and tumor invasion, TAMs are critical drivers of disease progression. TAMs are highly heterogeneous. While traditionally categorized into M1 (anti-tumor) or M2 (pro-tumor) phenotypes, this dichotomy is an oversimplification. Recent single-cell studies have revealed a spectrum of functional subpopulations, such as lipid-associated, interferon-responsive, and pro-angiogenic TAMs, with M2-like states typically prevailing to mediate immunosuppression. This review explores the diversity and functions of TAMs in brain metastasis. We first detail their biological characteristics, including origins, heterogeneous subtype classifications (e.g., lipid-associated macrophages that extend beyond the simple M1/M2 dichotomy), and polarization states. We further discuss how polarization is regulated by signaling pathways (e.g., STAT, NF-κB) and microenvironmental factors (e.g., hypoxia, metabolic reprogramming). We examine TAM roles from pre-metastatic niche formation to tumor colonization, using breast and lung cancer brain metastases to illustrate how TAMs disrupt the BBB and facilitate immune evasion through molecules like ANGPTL4 (angiopoietin-like 4) and MMP9. Key pathways of TAM-tumor cell interactions, including neuro-cancer interactions, immune-metabolic regulation, and exosome-mediated communication, are also discussed. Targeting TAMs offers promising therapeutic avenues. These strategies include reprogramming TAMs (e.g., using CSF1R inhibitors), combining TAM-targeted therapy with immune checkpoint inhibitors, and developing novel approaches such as nanotechnology and CAR-macrophages. However, several challenges remain, including TAM heterogeneity, lack of targeting specificity, and the obstacle of BBB delivery. Future research should leverage technologies like single-cell sequencing and spatial transcriptomics to decode TAM heterogeneity, and develop personalized treatments based on biomarkers such as GPNMB and TRAIL, aiming to improve patient outcomes in brain metastasis. Show less
📄 PDF DOI: 10.3389/fimmu.2026.1756299
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Jia-Qi Lin, Xia-Fei Chen, Jia-Hao Zhu +4 more · 2026 · Experimental eye research · Elsevier · added 2026-04-24
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key Show more
Keratoconus (KC) is a progressive disorder of corneal thinning characterized by responses in the extracellular matrix and cellular interactions. This study used bioinformatics methods to identify key genes involved in KC development and in anoikis and endoplasmic reticulum (ER) stress. KC and control datasets from the GEO database were analyzed to identify differentially expressed genes (DEGs). These were cross-referenced with anoikis and ER stress-related genes from Genecards. Functional enrichment, immune infiltration analysis, and machine learning techniques (LASSO, Random Forest) were used to identify candidate molecular signatures, which were then validated in an animal model. We identified 46 DEGs associated with anoikis and 41 DEGs related to ER stress. Functional analysis linked them to apoptosis and IL-17 signaling. Five key molecular signatures were identified: CDKN1A, MCL1, PTGS2, PTHLH, and ANGPTL4. The expression of ANGPTL4, CDKN1A, and MCL1 was consistent in the animal model. These genes are associated with inflammatory and oxidative stress responses. Twelve potential therapeutic drugs were predicted. This study identifies five candidate molecular signatures for KC related to anoikis and ER stress, offering insights into KC pathogenesis and potential targeted therapies. Show less
no PDF DOI: 10.1016/j.exer.2026.110910
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Yuyan Gu, Yao Jin, Huashan Zhao +10 more · 2026 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Atherosclerosis is the pathological basis of cardiovascular diseases. Dingxin Recipe III (DXRIII), a traditional Chinese herbal formula, has shown therapeutic effect for atherosclerosis, though its me Show more
Atherosclerosis is the pathological basis of cardiovascular diseases. Dingxin Recipe III (DXRIII), a traditional Chinese herbal formula, has shown therapeutic effect for atherosclerosis, though its mechanisms remain unclear. This study aimed to investigate the effects and molecular mechanisms of DXRIII on atherosclerosis progression. Male ApoE DXRIII significantly reduced aortic plaque areas, improved lipid profiles (decreased triglycerides, total cholesterol, and low-density lipoprotein-C), and alleviated hepatic steatosis. Integrated multi-omics revealed modulation of lipid metabolism pathways, including steroid hormone biosynthesis and arachidonic acid metabolism pathways. Steroidogenic acute regulatory-related lipid transfer protein 4 (Stard4) was identified as a key target, with expression positively correlated with gamma-linolenic acid and negatively correlated with corticosterone. Direct binding between DXRIII components and Stard4 was observed. Stard4 overexpression reduced lipid accumulation, while knockdown aggravated lipid deposition and negated the effect of DXRIII. Hepatic Stard4 knockdown aggravated atherosclerosis and lipid-related genes expression (Angptl4, Apob, Soat2, Scarb1, Lepr). DXRIII attenuates atherosclerosis by upregulating hepatic Stard4 expression to restore lipid homeostasis and reduce lipid accumulation. Show less
no PDF DOI: 10.1016/j.phymed.2026.157924
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Fei Sun, Yuchen Zhao, Jonathan Do +8 more · 2026 · Nature communications · Nature · added 2026-04-24
Pulmonary vascular development is essential for alveolarization, and disruption of this process contributes to pathogenesis of bronchopulmonary dysplasia (BPD). Proper vascular development requires an Show more
Pulmonary vascular development is essential for alveolarization, and disruption of this process contributes to pathogenesis of bronchopulmonary dysplasia (BPD). Proper vascular development requires an orchestration of many cell types within the lung. However, the transcriptional mechanisms by which pericytes support the endothelium in the postnatal lung remain poorly understood. Herein, we identify FOXF2 as a critical transcription factor that governs pericyte maturation and function during postnatal lung development and regeneration. FOXF2 expression in pericytes increases postnatally and is selectively downregulated after neonatal hyperoxic injury. Pdgfrb-CreER mediated Foxf2 deletion in pericytes leads to pericyte hyperplasia, impaired migration, and reduced expression of angiogenic factors such as ANGPTL4. Transcriptomic and genomic studies demonstrate that FOXF2 maintains chromatin accessibility at pro-angiogenic loci and modulates paracrine signaling essential for endothelial regeneration. Loss of FOXF2 disrupts pericyte-endothelial crosstalk, leading to impaired angiogenesis and alveolarization as well as increased vascular permeability after neonatal lung injury. Altogether, FOXF2 acts as a key transcriptional regulator of the pericyte-driven vascular niche in the neonatal lung, highlighting the pathogenic role of pericyte dysfunction in BPD. Show less
📄 PDF DOI: 10.1038/s41467-026-69525-7
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Jiale Lv, Ningzhen Zhang, Xiaoping Yang +4 more · 2026 · Journal of ovarian research · BioMed Central · added 2026-04-24
no PDF DOI: 10.1186/s13048-026-01969-3
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Fuhao Huang, Zhu Zhu, Qiqiang Xing +1 more · 2026 · Biochimie · Elsevier · added 2026-04-24
To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoietin-like protein 4 (ANGPTL4) on the adipogenic-osteo Show more
To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoietin-like protein 4 (ANGPTL4) on the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells (BMSCs), and provide new insights into the molecular mechanisms and targeted therapy of OP, single-cell and multi-omics transcriptomic datasets were integrated with lipid metabolism-related gene sets. Potential key genes were identified through AUCell scoring, enrichment analysis, and machine learning algorithms validated by 5-fold cross-validation. CellChat was applied to analyze intercellular communication, while GSVA revealed associated signaling pathways. Furthermore, functional validation was performed by knocking down ANGPTL4 in BMSCs using two independent siRNA sequences. The effects on differentiation were assessed by lipid accumulation and osteogenic mineralization assays, biochemical assays, recombinant protein rescue experiments, time-course Western blot, and qPCR analysis of clinical bone marrow samples. Analysis revealed that OP-BMSCs exhibited significantly enhanced lipid metabolism activity. ANGPTL4 was identified as a core candidate gene, demonstrating robust discriminative power with a mean AUC of 0.777 in 5-fold cross-validation. Functional assays confirmed that ANGPTL4 knockdown significantly inhibited adipogenesis while enhancing osteogenic differentiation independent of cell proliferation. Importantly, treatment with recombinant ANGPTL4 protein effectively reversed these phenotypic changes. Mechanistically, ANGPTL4 silencing specifically upregulated BMP2, BMP4, and BMPR1A, leading to the activation of p-Smad1/5/9 and the accelerated expression of Runx2 and Ocn in a time-dependent manner. Consistent with these findings, ANGPTL4 mRNA levels were significantly elevated in bone marrow samples from OP patients. In conclusion, ANGPTL4 serves as a critical checkpoint connecting lipid metabolism and OP pathology. It inhibits osteogenesis by suppressing the BMP2/4-BMPR1A-Smad signaling axis. Targeting ANGPTL4 effectively restores the adipo-osteogenic balance of BMSCs, suggesting it is a promising candidate target for OP therapy, pending further in vivo validation. Show less
no PDF DOI: 10.1016/j.biochi.2025.12.014
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Bo-Wen Zheng, Chao Xia, Wei Huang +10 more · 2026 · Neuro-oncology · Oxford University Press · added 2026-04-24
Tumor budding (TB) is a well-established prognostic indicator in various epithelial malignancies. Chordoma, although a rare mesenchymal tumor, paradoxically exhibits prominent epithelial-like characte Show more
Tumor budding (TB) is a well-established prognostic indicator in various epithelial malignancies. Chordoma, although a rare mesenchymal tumor, paradoxically exhibits prominent epithelial-like characteristics, as demonstrated in previous studies. In particular, it remains unclear whether TB-like (TBL) structures are present in chordoma, as well as the molecular mechanisms driving their formation and their functional impact on tumor progression, representing a critical gap in current knowledge. Tumor budding-like grades were defined and evaluated in tumor specimens from 481 chordoma patients across 4 large cohorts using hematoxylin-eosin and immunohistochemical staining. Multi-omics profiling, encompassing GeoMx digital spatial profiling, spatial transcriptomics, bulk RNA sequencing, single-cell RNA sequencing, single-cell ATAC sequencing, and multiplex quantitative immunofluorescence, was integrated to delineate TBL cell subpopulations (TBLCs) and their interactions with cholesterol-metabolic tumor-associated macrophages (CM-TAMs). Organoid models and in vitro/in vivo functional assays were employed for mechanistic investigation and validation. Tumor budding-like structures were prevalent in chordoma, and higher TBL grades were associated with unfavorable clinical outcomes and aggressive phenotypes. Mechanistically, BACH1 in CM-TAMs drove ANGPTL4 secretion, which targeted the SDC4 receptor on TBLCs, thereby enhancing stem-like properties, promoting cholesterol accumulation, and accelerating malignant progression. Pharmacological inhibition of cholesterol metabolism or disruption of the BACH1-ANGPTL4-SDC4 signaling axis markedly reduced tumor invasiveness in both preclinical models and chordoma organoids. BACH1-driven CM-TAMs activate TBLCs via the ANGPTL4-SDC4 signaling axis, promoting stemness and cholesterol accumulation, ultimately driving malignant progression in chordoma. These findings uncover a previously unrecognized tumor-immune-metabolic interaction and suggest potential therapeutic targets for this disease. Show less
no PDF DOI: 10.1093/neuonc/noaf286
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Wensheng Chen, Qingshui Wang, Shuyuan Li · 2026 · Biochimica et biophysica acta. General subjects · Elsevier · added 2026-04-24
Lymph node metastasis is a critical prognostic factor in colorectal cancer (CRC). Identifying key genes associated with metastasis can improve risk stratification and treatment strategies. This study Show more
Lymph node metastasis is a critical prognostic factor in colorectal cancer (CRC). Identifying key genes associated with metastasis can improve risk stratification and treatment strategies. This study aimed to identify a gene signature related to lymph node metastasis and investigate the role of NPR3. We analyzed the GSE878211 dataset to identify differentially expressed genes in CRC tissues with and without lymph node metastasis. A lymph node metastasis-related gene signature (LNMRGS) was constructed using Least Absolute Shrinkage and Selection Operator (LASSO) regression. The correlation between LNMRGS and clinical indicators, immune microenvironment, and signaling pathways was analyzed. The role of NPR3 was further investigated through in vitro and in vivo experiments. We identified 110 upregulated and 58 downregulated genes in CRC tissues with lymph node metastasis. The LNMRGS, consisting of Integrin Subunit Beta 3 (ITGB3), IQ Motif Containing with AAA Domain 1 (IQCA1), Angiopoietin-Like 4 (ANGPTL4), and Natriuretic Peptide Receptor 3 (NPR3), predicted overall survival in multiple datasets. High LNMRGS was associated with female sex, tumor recurrence, lymph node metastasis, distant metastasis, and KRAS mutations. NPR3 knockdown inhibited proliferation, migration, and invasion of CRC cells in vitro and in vivo, and reduced chemoresistance to 5-fluorouracil (5-FU) and oxaliplatin. The LNMRGS is a robust prognostic signature for CRC. NPR3 plays a key role in metastatic progression and chemoresistance, suggesting it as a potential therapeutic target. Show less
no PDF DOI: 10.1016/j.bbagen.2025.130895
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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
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Chunxiao Li, Qinyuan Zhu, Xinhang Cao +6 more · 2026 · Non-coding RNA research · Elsevier · added 2026-04-24
Aberrant differentiation of keratinocytes has been implicated in various skin diseases. However, the impact of lncRNA on keratinocyte differentiation and RNA alternative splicing remains poorly unders Show more
Aberrant differentiation of keratinocytes has been implicated in various skin diseases. However, the impact of lncRNA on keratinocyte differentiation and RNA alternative splicing remains poorly understood. The primary aim of this study was to delineate the landscape of differentially expressed lncRNAs in keratinocytes undergoing differentiation and to elucidate the underlying molecular mechanisms. Primary human keratinocytes (HKEn) were subjected to comprehensive microarray analysis to identify the differentially expressed lncRNAs upon calcium stimulation. Loss-of-function experiments were carried out to explore the role of NR037661 in keratinocyte differentiation. RNA sequencing analysis was performed to study the potential target genes of NR037761. RNA pull-down assay, SDS-PAGE, silver staining and mass spectrometry analysis were utilized to explore the potential proteins that interacted with NR037761 and participated in NR037761-mediated keratinocyte differentiation. The effects of NR037761 on the alternative splicing and expression of Angiopoietin-like 4 (ANGPTL4) were analyzed by RT-PCR and Western blot. NR037661 specifically interacts with the splicing factor Serine/arginine repetitive matrix protein 2 (SRRM2), facilitating its nuclear localization. This interaction modulates the alternative splicing (AS) of ANGPTL4 mRNA, ultimately influencing keratinocyte differentiation. Our findings illuminate a novel regulatory mechanism underlying keratinocyte differentiation, potentially revealing new therapeutic targets for skin diseases. Show less
📄 PDF DOI: 10.1016/j.ncrna.2025.10.003
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Qiang Li, Zhiqi Liao, Xinyao Hu +26 more · 2026 · Molecular therapy : the journal of the American Society of Gene Therapy · Elsevier · added 2026-04-24
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In Show more
Clinical application of mesenchymal stem cells for endometrial repair has been hampered by variability in cell quality, large-scale production, and uncertainty regarding the optimal delivery route. In this study, we investigated the therapeutic potential of clinical-grade human embryonic stem cell-derived immunity-and-matrix-regulatory cells (IMRCs) for treating refractory moderate-to-severe intrauterine adhesion (IUA). In a rabbit IUA model, sub-endometrial injection of IMRCs significantly reduced fibrosis and enhanced endometrial angiogenesis, outperforming uterine perfusion. Transcriptomic analysis revealed distinct pro-angiogenic gene expression profiles between the two delivery routes. In vitro, IMRCs co-cultured with endometrial stromal cells (ESCs) markedly enhanced angiogenic potential compared to either cell type alone. Protein array analysis of the co-culture supernatant showed elevated levels of angiogenic factors, with functional assays confirming that inhibition of ANGPTL4, a non-canonical pro-angiogenic mediator, impaired angiogenesis. In a first-in-human, single-center, phase 1 dose-escalation trial involving 18 patients with refractory IUA, high-dose sub-endometrial IMRC injection promoted angiogenesis, reduced uterine scarring, and improved pregnancy outcomes, with no safety concerns observed over 3 years of follow-up. These findings highlight the translational promise of IMRCs as a novel therapeutic strategy for endometrial regeneration in severe IUA. Show less
📄 PDF DOI: 10.1016/j.ymthe.2025.09.035
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Yiyu Liang, Xianlu Li, Yichen Zhang +9 more · 2026 · ACS nano · ACS Publications · added 2026-04-24
Modifying nanomedicines with targeting ligands represents an encouraging strategy for active tumor targeting, but its clinical failure underscores ongoing challenges. Herein, a series of liposomes wit Show more
Modifying nanomedicines with targeting ligands represents an encouraging strategy for active tumor targeting, but its clinical failure underscores ongoing challenges. Herein, a series of liposomes with different targeting ligands (e.g., PEGylation, folic acid, mannose, RGD peptide, and melittin) were rationally designed to investigate the principles and mechanisms governing tumor targeting and penetration profiles. In primary and lung metastatic breast cancer models, these liposomes exhibited a systematic tendency of intratumor distribution, with melittin-modified liposomes showing optimal tumor targeting and therapeutic performance. Further studies revealed that the ligand modifications in liposomes could modulate the composition of their protein corona, particularly the level of Apolipoprotein A4 (ApoA4), which, in turn, influenced tumor targeting and intratumor distribution, ultimately affecting the therapeutic outcome of tumor inhibition and survival prolongation. This research provided a distinct correlation between ligand modification of liposomes and their Show less
no PDF DOI: 10.1021/acsnano.5c19739
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Ya-Xin Deng, Bao-Jun Ding, Hong-Chun Li +4 more · 2026 · Yi chuan = Hereditas · added 2026-04-24
The
no PDF DOI: 10.16288/j.yczz.25-190
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Jie Cai, Aohuan Huang, Linghui You +10 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Diet-based modulation of the gut microbiota has emerged as a promising strategy to alleviate obesity and its related complications. Our previous study demonstrated that polysaccharide derived from Cor Show more
Diet-based modulation of the gut microbiota has emerged as a promising strategy to alleviate obesity and its related complications. Our previous study demonstrated that polysaccharide derived from Cordyceps militaris (CMP) exerts anti-obesity effects, yet the specific mechanism linking gut microbiota to its metabolic impact remains unclear. Herein, we utilized murine models with distinct gut microbial profiles created via antibiotic cocktails to investigate these mechanisms. The protective effects of CMP against high-fat diet (HFD)-induced obesity and associated metabolic disturbances were substantially impaired in mice depleted of neomycin-sensitive gut bacteria. Metagenomic analyses further established that CMP required these bacteria to restore gut microbial homeostasis. Notably, we observed that CMP elevated hepatic levels of brassicasterol in a manner dependent on neomycin-sensitive gut bacteria. Brassicasterol treatment alone replicated the anti-obesity effects of CMP, as indicated by reduced body weight gain, improved lipid and glucose metabolism, and decreased inflammation. Through transcriptomic and functional analyses, we identified hepatic Apoa4 as a key downstream effector of brassicasterol. Our results indicated that brassicasterol upregulated Apoa4, facilitating lipid transport and suppressing inflammation both in vitro and in vivo. Collectively, our findings indicate that CMP exerts its anti-obesity effects through a neomycin-sensitive gut bacteria-brassicasterol-Apoa4 pathway. This work expands the mechanistic understanding of CMP and highlights a novel microbiota-metabolite-host regulatory axis for dietary intervention in metabolic disorders. Show less
no PDF DOI: 10.1016/j.foodres.2026.118574
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Hongrui Cao, Zhengcheng Zeng, Huangwei Shi +5 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
This study examined how different photoperiods affect net energy partitioning and explored the mechanisms via blood biochemistry, gut microbiota, and fecal metabolites. Twelve healthy crossbred pigs ( Show more
This study examined how different photoperiods affect net energy partitioning and explored the mechanisms via blood biochemistry, gut microbiota, and fecal metabolites. Twelve healthy crossbred pigs (47.7 ± 7.5 kg) were randomly allocated to two groups and subjected to a self-controlled crossover design. Following an 8-day baseline under a normal photoperiod (12L:12D, 12 h light:12 h dark), pigs were assigned to two photoperiod treatment groups: prolonged photoperiod (18L:6D, 18 h light:6 h dark; P group) and shortened photoperiod (6L:18D, 6 h light:18 h dark; S group). Measurements during the baseline (12L:12D) and treatment phases are designated as N1/P (for the P group) and N2/S (for the S group), respectively. The treatment periods were interspersed with the baseline 12L:12D photoperiod and repeated six times. It was observed that, compared to N2, shortened photoperiod (S) had significantly higher net energy deposition, net energy for protein deposition, and net energy for fat deposition ( Show less
📄 PDF DOI: 10.3390/ani16040688
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Yongling Jin, Rong Zhang, Xin Li +7 more · 2026 · International journal of molecular sciences · MDPI · added 2026-04-24
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. Howev Show more
Rising global temperatures lead to a continuous increase in the frequency and intensity of extreme weather events, such as droughts and floods, posing serious threats to terrestrial homeotherms. However, adaptive changes in respiratory metabolism and molecular mechanisms in lung tissues of small mammals under extreme water shortage conditions remain unclear. This study hypothesized that small desert mammals can adapt to extreme water shortage environments by regulating the plasticity of lung tissue gene expression and respiratory metabolism. Using 29 wild-caught Siberian jerboas ( Show less
📄 PDF DOI: 10.3390/ijms27031458
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Na Huang, Heming Wang, Xiao Li +8 more · 2026 · Lipids in health and disease · BioMed Central · added 2026-04-24
Significant interindividual variability in radiosensitivity poses a major challenge to conventional radiation protection and radiotherapy. Current prediction strategies relying on DNA damage or genomi Show more
Significant interindividual variability in radiosensitivity poses a major challenge to conventional radiation protection and radiotherapy. Current prediction strategies relying on DNA damage or genomic analysis have inherent limitations, underscoring the need for minimally invasive serum biomarkers. While serum apolipoproteins are crucial regulators of lipid transport, metabolism, and cellular stress response, their role as biomarkers for radiosensitivity remains largely unexplored. A 7.3 Gy ⁶⁰Co γ-ray whole-body irradiation mouse model (with training and independent validation cohorts) was established to assess individual radiosensitivity. Pre-irradiation peripheral serum samples underwent high-throughput proteomics analysis to identify differential proteins (DEPs) linked to 30-day post-irradiation survival. KEGG and GO enrichment analyses were conducted to characterize DEP-associated pathways. An XGBoost machine learning model was built using candidate biomarkers, with SHAP analysis to define their predictive contributions; Cox proportional hazards and Pearson correlation analyses were applied to evaluate survival associations. DIA-based proteomics identified 580 DEPs in the training cohort and 449 in the validation cohort. KEGG and GO enrichment analyses confirmed that these DEPs were predominantly enriched in the cholesterol metabolism and reverse cholesterol transport pathways. The predictive model based on an apolipoprotein panel (ApoA1/ApoA2/ApoA4), established using the XGBoost algorithm, exhibited exceptional performance in the training cohort (AUC = 1) and maintained robust generalizability in an independent validation cohort (AUC = 0.833). Compared with non-survivors, survivors exhibited significantly elevated serum levels of ApoA1 and ApoA2 but markedly reduced levels of ApoA4. Cox proportional hazards regression analysis established ApoA1 and ApoA2 as independent protective factors, whereas high ApoA4 expression was an adverse prognostic indicator. Notably, ApoA4 levels also demonstrated a strong negative correlation with post-irradiation survival time. The serum apolipoprotein profile (ApoA1/ApoA2/ApoA4) serves not only as a promising minimally invasive biomarker for predicting individual radiosensitivity in mice but also reveals a critical link between the cholesterol metabolic pathway and radiation response. This finding lays a theoretical foundation for translating predictive, cholesterol metabolism-related biomarkers to support radiation response assessments. Given the limitations of animal models, subsequent studies are required to validate the clinical applicability of this panel in human cohorts, with the aim of offering an effective tool for personalized radiation protection and precise radiotherapy. The online version contains supplementary material available at 10.1186/s12944-026-02868-8. Show less
📄 PDF DOI: 10.1186/s12944-026-02868-8
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Yehui Liang, Ruize Pan, Nian Liu +4 more · 2026 · Food research international (Ottawa, Ont.) · Elsevier · added 2026-04-24
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the bio Show more
Current infant formulas lack the native multilayer structure of breast milk fat globule membrane (MFGM), impacting lipid digestion. In this study, the inner layer material and concentration of the biomimetic fat globule membrane were optimized by comparing particle size, Zeta-potential and interface protein load. It was found that compared with sodium caseinate (CN) and whey protein (WP), when the lactoferrin (LF) concentration was 2 %, the particle size was lower (277.85 ± 6.15 nm) and Zeta-potential value was higher (19.67 ± 1.27 mv). Using milk phospholipid (MPL) as the outer layer material, when the MPL concentration was 2 %, the emulsion had a smaller particle size (291.33 ± 1.15 nm) and a better stability (10.22 ± 0.62 %). Therefore, the biomimetic multilayer membrane was constructed by electrostatic layer-by-layer deposition of 2 % LF and 2 % MPL. Combining Fluorescence and Fourier transform infrared spectroscopy (FTIR), the interaction between LF and MPL molecules in the LF-MPL multilayer structure is primarily a spontaneous, endothermic process driven by hydrophobic forces, exhibited superior stability (except thermal stability) than LF monolayer membrane. The results of in vitro digestion showed that compared with LF, WP and WP-MPL emulsions, LF-MPL emulsions had the highest free fatty acid (FFA) release rate of 69.97 %. LF-MPL enhanced gastric stability and promoted intestinal lipolysis and improved the degree of lipid digestion. In addition, LF-MPL promoted the absorption and utilization of triglyceride (TAG) in cells and animals, and secretion and upregulated lipid absorption genes (FATP4, DGAT1, APOB, APOA4, MTTP). These findings demonstrate that biomimetic LF-MPL multilayers improve lipid digestion, absorption, and bioavailability, providing a theoretical basis for designing more breast milk-like infant formulas. Show less
no PDF DOI: 10.1016/j.foodres.2025.118055
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Shujun Liu, Yating Ma, Bo Sun +3 more · 2026 · Journal of proteome research · ACS Publications · added 2026-04-24
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) re Show more
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and is difficult to distinguish from benign pulmonary nodules (BPNs), particularly at early stages. Extracellular vesicles (EVs) represent a promising source of biomarkers for the diagnosis of malignant pulmonary nodules. This study aimed to identify robust and clinically relevant EV-based protein biomarkers via isolation with EXODUS, a system that enables efficient direct capture of plasma EVs, followed by data-independent acquisition mass spectrometry (DIA-MS) for in-depth proteomic profiling. A total of 1383 proteins were identified from the plasma EVs obtained from 25 individuals (10 BPN and 15 early stage LUAD), while dysregulated protein signatures were revealed through differential expression analysis. Machine learning algorithms incorporating demographic variables, imaging features, EV protein profiles, and conventional tumor markers were applied to select diagnostic candidates. Random forest analysis revealed two upregulated proteins, NTN3 and APOA4, as promising biomarkers. Subsequently, their diagnostic performance and net clinical benefits were validated in an independent EV cohort (6 LUAD and 6 BPN) using ELISAs and decision curve analysis. In summary, we present an integrated pipeline that combines EXODUS-based isolation, DIA-MS, and machine learning to detect markers from plasma EVs for distinguishing early stage lung cancer from benign nodules. Show less
no PDF DOI: 10.1021/acs.jproteome.5c00610
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Ziyu Ge, Yang Yang, Pei Chen +12 more · 2026 · Biochemical pharmacology · Elsevier · added 2026-04-24
Depression is a heterogeneous psychiatric disorder with limited treatment efficacy, as 30-50% of patients exhibit inadequate responses to conventional monoaminergic antidepressants. Rhein, a bioactive Show more
Depression is a heterogeneous psychiatric disorder with limited treatment efficacy, as 30-50% of patients exhibit inadequate responses to conventional monoaminergic antidepressants. Rhein, a bioactive anthraquinone derived from Rheum palmatum, exhibits rapid and sustained antidepressant effects in both acute and chronic social defeat stress (CSDS) mouse models. Using quantitative proteomics on prefrontal cortex (PFC) samples from control, CSDS, Rhein-treated, and imipramine-treated cohorts, we identified differentially expressed proteins that revealed Rhein's multi-target regulatory profile. Functional enrichment and clustering analyses indicated that Rhein predominantly restores dysregulated pathways related to lipid metabolism, ribosomal translation, mitochondrial and endoplasmic reticulum (ER) function, and synaptic plasticity, forming a coherent mechanistic axis underlying its therapeutic effects. Comparative analysis with imipramine-treated mice further highlighted Rhein's distinct capacity to modulate organelle homeostasis and synaptic remodeling with greater breadth. Parallel reaction monitoring (PRM) and Western Blotting validated key proteins involved in mitochondrial functions (BNIP1, PISD, MRPL42, MRPS30, LRBA, IGHM), ER homeostasis (ACBD5, APOA4, RPL14), and synaptic plasticity (HDAC1, FAM3C, SSU72). These molecular findings suggest that Rhein exerts its antidepressant effects by restoring the functional integrity of mitochondria and the ER, thereby reprogramming synaptic plasticity. We inferred that this organelle-centered regulation further reinforces its potent modulation through multiple mechanisms and signaling pathways of synaptic plasticity, enabling Rhein to exert antidepressant effects through a coordinated, multi-layered mechanism. Collectively, our findings provide a systems-level mechanistic framework for Rhein's antidepressant efficacy and support its potential as a multi-pathway natural therapeutic, particularly for metabolic subtypes of depression. Show less
no PDF DOI: 10.1016/j.bcp.2025.117548
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