👤 Yinan Jiang

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873
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597
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Also published as: Aimin Jiang, Anan Jiang, Bao Jiang, Baoping Jiang, Bei Jiang, Bin Jiang, Bing-Hua Jiang, Bingdong Jiang, Bo Jiang, Bowen Jiang, Caiyun Jiang, Can Jiang, Cen Jiang, Changtao Jiang, Chao Jiang, Chao Qiang Jiang, Chaoqian Jiang, Chaoqiang Jiang, Charlie Jiang, Chen Jiang, Chen-Chen Jiang, Chen-Yang Jiang, Cheng Jiang, Cheng-Yan Jiang, Chengxian Jiang, Chengzhi Jiang, Chenke Jiang, Chenyang Jiang, Chongyi Jiang, Chuanhe Jiang, Chun-Guo Jiang, Chun-Lei Jiang, Chunhui Jiang, Chunmiao Jiang, Chunping Jiang, Chunqing Jiang, Chunyang Jiang, Congqing Jiang, Cui-Ping Jiang, Cuihua Jiang, Cuiping Jiang, Da Jiang, Dahai Jiang, Dan Jiang, Dandan Jiang, Danjie Jiang, Dawei Jiang, Deke Jiang, Dong Jiang, Dong-Neng Jiang, Dongmei Jiang, Dongsheng Jiang, Dongwen Jiang, Dongyang Jiang, F Jiang, Fan Jiang, Fang Jiang, Fangqin Jiang, Fei Jiang, Feng Jiang, Fengjuan Jiang, Fengli Jiang, Fengqi Jiang, Fengxian Jiang, Fengze Jiang, Fu-Sheng Jiang, Fuling Jiang, Gang Jiang, Gaowei Jiang, Gening Jiang, Guan-Min Jiang, Guang Jiang, Guang-Jian Jiang, Guanglong Jiang, Guangpeng Jiang, Guangyu Jiang, Guangzhen Jiang, Guannan Jiang, Gui-Yang Jiang, Guitao Jiang, Guiya Jiang, Guiyang Jiang, Guli Jiang, Guoheng Jiang, Guoliang Jiang, Guoqiang Jiang, Guoyan Jiang, Guozhi Jiang, H Jiang, Hai-He Jiang, Hai-Lu Jiang, Hai-Lun Jiang, Hai-ou Jiang, Haibo Jiang, Haifang Jiang, Haifeng Jiang, Haijun Jiang, Hailun Jiang, Haiping Jiang, Haiqiang Jiang, Haisong Jiang, Haixing Jiang, Haiyang Jiang, Haiying Jiang, Haizhen Jiang, Han Jiang, Han-Tao Jiang, Hanjie Jiang, Hanxue Jiang, Hao Jiang, Haowen Jiang, He Jiang, Hemin Jiang, Hequn Jiang, Hong Jiang, Hong-Li Jiang, Hong-Yan Jiang, Hong-liu Jiang, Hongcheng Jiang, Hongchi Jiang, Hongjing Jiang, Hongkun Jiang, Hongli Jiang, Hongxiang Jiang, Hongyu Jiang, Houbo Jiang, Hu Jiang, Hua Jiang, Huajun Jiang, Hualiang Jiang, Huanglei Jiang, Huanguo Jiang, Huanyu Jiang, Huanzhu Jiang, Huawei Jiang, Hugang Jiang, Hui Jiang, Hui-Hui Jiang, Huili Jiang, Huiqing Jiang, Huiyong Jiang, J Jiang, Jessica Li Jiang, Ji Jiang, Ji-yao Jiang, Jia Jiang, Jiahao Jiang, Jiahong Jiang, Jian Jiang, Jian-Dong Jiang, Jian-Gang Jiang, Jianan Jiang, Jiandong Jiang, Jianhua Jiang, Jianhui Jiang, Jianming Jiang, Jianrong Jiang, Jiansen Jiang, Jianwei Jiang, Jiaqi Jiang, Jiawei Jiang, Jiaxuan Jiang, Jie Jiang, Jie-Feng Jiang, Jieqing Jiang, Jieyi Jiang, Jiji Jiang, Jin Jiang, Jin-Yan Jiang, Jinfeng Jiang, Jing Jiang, Jing-Si Jiang, Jingbo Jiang, Jinghua Jiang, Jingjing Jiang, Jingwei Jiang, Jingwen Jiang, Jingyan Jiang, Jingzhou Jiang, Jinhong Jiang, Jinhua Jiang, Jinlan Jiang, Jinlun Jiang, Jinxia Jiang, Jinyun Jiang, Jishun Jiang, Jiwei Jiang, Jiyang Jiang, Jiyue Jiang, Jun Jiang, Jun-Jie Jiang, Junfang Jiang, K Jiang, Kai Jiang, Kang Jiang, Ke Jiang, Kele Jiang, Kuan Jiang, Kunyin Jiang, Kuo-Ching Jiang, L Jiang, Lai Jiang, Lan Jiang, Lan-Lan Jiang, Lei Jiang, Li Jiang, Li-Dan Jiang, Li-He Jiang, Li-Hong Jiang, Li-Rong Jiang, Li-Sha Jiang, Lianguang Jiang, Lianyong Jiang, Lihong Jiang, Lihuan Jiang, Lijing Jiang, Lijuan Jiang, Lijun Jiang, Lili Jiang, Lin Jiang, Ling Jiang, Ling-Xiang Jiang, Lingli Jiang, Linglin Jiang, Lingling Jiang, Linke Jiang, Linlin Jiang, Linying Jiang, Liping Jiang, Liqing Jiang, Lishi Jiang, Liuyan Jiang, Lixin Jiang, Liying Jiang, Long Jiang, Longying Jiang, Lu Jiang, Man Jiang, Mei Jiang, Meichen Jiang, Meichun Jiang, Meimei Jiang, Meixiu Jiang, Meng Jiang, Meng-Ting Jiang, Mengjie Jiang, Mengmeng Jiang, Mengqiang Jiang, Mengxi Jiang, Mengxue Jiang, Mengya Jiang, Mengzhu Jiang, Min Jiang, Ming Jiang, Ming-Rui Jiang, Mingchen Jiang, Minghao Jiang, Minghu Jiang, Mingshan Jiang, Mingxing Jiang, Mingyang Jiang, Minqing Jiang, Mona Zhi Ling Mai Jiang, Mouyan Jiang, Mujun Jiang, Nan Jiang, Nanying Jiang, Neng Jiang, Nengjing Jiang, Nili Jiang, Ning Jiang, Ou Jiang, Pan Jiang, Pan-Qiang Jiang, Pei Jiang, Peipei Jiang, Peng Jiang, Pengling Jiang, Ping Jiang, Ping-Ping Jiang, Pu Jiang, Qi Jiang, Qi-Chen Jiang, Qian Jiang, Qiang Jiang, Qianzhu Jiang, Qichen Jiang, Qicheng Jiang, Qin Jiang, Qing Jiang, Qing-Wu Jiang, Qing-Yan Jiang, Qinghua Jiang, Qingkun Jiang, Qingping Jiang, Qinyang Jiang, Qiu Jiang, Qiu-Le Jiang, Qiuxiao Jiang, Qiuyan Jiang, Qiwei Jiang, Qixia Jiang, Renjun Jiang, Rong Jiang, Rongqi Jiang, Rongtao Jiang, Rongyan Jiang, Roulan Jiang, Ru-Chao Jiang, Ruirui Jiang, Ruiwei Jiang, Rulang Jiang, Runqiu Jiang, Runshen Jiang, Runyang Jiang, S Q Jiang, Shali Jiang, Shan Jiang, Shan-Shan Jiang, Shanfeng Jiang, Shanshan Jiang, Shantong Jiang, Shaokai Jiang, Shaoping Jiang, Shaowen Jiang, Shaoxiong Jiang, Sharon Jiang, Sheng Jiang, Shengnan Jiang, Shengwang Jiang, Shengying Jiang, Shi Jiang, Shih Sheng Jiang, ShihSheng Jiang, Shimin Jiang, Shiqing Jiang, Shirui Jiang, Shiwen Jiang, Shou-Yin Jiang, Shoufang Jiang, Shoulei Jiang, Shouwen Jiang, Shu Jiang, Shu-Zhen Jiang, Shuai Jiang, Shuang Jiang, Shusuan Jiang, Shuying Jiang, Shuzhong Jiang, Si-Liang Jiang, Sicong Jiang, Simon W Jiang, Sixiong Jiang, Siyi Jiang, Siyu Jiang, Songhao Jiang, Su Jiang, Sujun Jiang, Susu Jiang, Suyu Jiang, T Jiang, Tao Jiang, Tengfei Jiang, Tengyong Jiang, Tian Jiang, Tianlin Jiang, Tianqi Jiang, Tianyu Jiang, Ting Jiang, Ting-Bo Jiang, Ting-Ting Jiang, Ting-Wang Jiang, Tingbo Jiang, Tingting Jiang, Tingyun Jiang, Tongcui Jiang, W Jiang, Wan-Sheng Jiang, Wangjie Jiang, Wanqing Jiang, Wei I Jiang, Wei Jiang, Wei-Cheng Jiang, Weibo Jiang, Weifan Jiang, Weihao Jiang, Weijun Jiang, Weimin Jiang, Weiqi Jiang, Weixi Jiang, Wen G Jiang, Wen Jiang, Wen-Hua Jiang, Wen-Ping Jiang, Wen-Qi Jiang, Wen-hui Jiang, Wencan Jiang, Wenjuan Jiang, Wenna Jiang, Wenqing Jiang, Wenrong Jiang, Wenyi Jiang, X Jiang, X L Jiang, Xia Jiang, Xian-Cheng Jiang, Xiang Jiang, Xiang-Jun Jiang, Xiangjun Jiang, Xiangning Jiang, Xianta Jiang, Xiao Jiang, Xiao-Cui Jiang, Xiao-Lan Jiang, Xiao-Wen Jiang, Xiao-dan Jiang, Xiaobing Jiang, Xiaocong Jiang, Xiaofei Jiang, Xiaofeng Jiang, Xiaohua Jiang, Xiaohui Jiang, Xiaojuan Jiang, Xiaoli Jiang, Xiaolin Jiang, Xiaolu Jiang, Xiaomin Jiang, Xiaona Jiang, Xiaosong Jiang, Xiaotao Jiang, Xiaoting Jiang, Xiaowen Jiang, Xiaoxiao Jiang, Xiaoxue Jiang, Xiaoyan Jiang, Xiaoyi Jiang, Xiaoyu Jiang, Xihong Jiang, Xijing Jiang, Xin Jiang, Xinfeng Jiang, Xing Jiang, Xinghong Jiang, Xinglin Jiang, Xinhai Jiang, Xinlong Jiang, Xinwei Jiang, Xinyi Jiang, Xinyin Jiang, Xinyue Jiang, Xiong Jiang, Xiufeng Jiang, Xiulong Jiang, Xuanting Jiang, Xue Jiang, Xuejun Jiang, Xueli Jiang, Xuemei Jiang, Xueping Jiang, Xueqin Jiang, Xuexia Jiang, Xueying Jiang, Xuhong Jiang, Xun Jiang, Xunping Jiang, Xunwei Jiang, Y Jiang, Y-D Jiang, Ya-Ping Jiang, Yafei Jiang, Yali Jiang, Yamei Jiang, Yan Jiang, Yan-Yi Jiang, Yanan Jiang, Yanchao Jiang, Yanfang Jiang, Yanfeng Jiang, Yang Jiang, Yangfu Jiang, Yangyang Jiang, Yanji Jiang, Yanle Jiang, Yanming Jiang, Yanping Jiang, Yanshuang Jiang, Yanxin Jiang, Yanyan Jiang, Yanzhi Jiang, Yaofei Jiang, Yaona Jiang, Yaxi Jiang, Yazhuo Jiang, Yexiang Jiang, Yi Jiang, Yi-Xue Jiang, Yiao Jiang, Yida Jiang, Yilin Jiang, Ying Jiang, Ying-Ming Jiang, Yingjie Jiang, Yingsong Jiang, Yingying Jiang, Yinhui Jiang, Yiran Jiang, Yiting Jiang, Yitong Jiang, Yong Fang Jiang, Yong Jiang, Yong-Li Jiang, Yong-Qing Jiang, Yong-Sheng Jiang, Yonghong Jiang, Yonghui Jiang, Yongliang Jiang, Yongpo Jiang, Yongqing Jiang, You-Hua Jiang, Youde Jiang, Youhai Jiang, Youming Jiang, Yu Jiang, Yu-Hang Jiang, Yu-Jia Jiang, Yu-Lin Jiang, Yu-Xuan Jiang, Yu-ping Jiang, Yuan Jiang, Yuanjun Jiang, Yuanyuan Jiang, Yue Jiang, Yue-Ming Jiang, Yue-Ping Jiang, Yuecheng Jiang, Yueping Jiang, Yuer Jiang, Yufeng Jiang, Yuhan Jiang, Yuhang Jiang, Yuhui Jiang, Yumin Jiang, Yun-Jin Jiang, Yunjing Jiang, Yunliang Jiang, Yunsheng Jiang, Yunxiu Jiang, Yunzhe Jiang, Yupeng Jiang, Yutao Jiang, Yuteng Jiang, Yuting Jiang, Yuwei Jiang, Yuwu Jiang, Z Gordon Jiang, Z Jiang, Z Y Jiang, Z-Y Jiang, Ze-Bin Jiang, Zesong Jiang, Zetan Jiang, Zeyu Jiang, Zhao Jiang, Zhao-Yan Jiang, Zhaodi Jiang, Zhaoshi Jiang, Zhen Jiang, Zheng Jiang, Zheng-Yuan Jiang, Zhengfan Jiang, Zhenghui G Jiang, Zhengming Jiang, Zhengqiao Jiang, Zhengwen Jiang, Zhengwu Jiang, Zhengxuan Jiang, Zhengyi Jiang, Zhentao Jiang, Zhi-Sheng Jiang, Zhi-Yan Jiang, Zhi-Ying Jiang, Zhichao Jiang, Zhicong Jiang, Zhiwei Jiang, Zhixia Jiang, Zhixin Jiang, Zhiying Jiang, Zhongshan Jiang, Zi-Hua Jiang, Zichao Jiang, Zipei Jiang, Ziqin Jiang, Ziyi Jiang, Ziying Jiang, Ziyu Jiang, Zong-Zhe Jiang
articles
Mengshi Li, Yang Li, Lei Jiang +7 more · 2026 · Chinese medical journal · added 2026-04-24
📄 PDF DOI: 10.1097/CM9.0000000000003978
APOE
Yersen Mulat, Zun Ren, Chaocao Nong +14 more · 2026 · Journal of neuroinflammation · BioMed Central · added 2026-04-24
Following spinal cord injury (SCI), neuroinflammation driven by lipid-laden macrophage foam cells is a key pathology, yet how these cells manage their lipid homeostasis is unclear. We delineate a neur Show more
Following spinal cord injury (SCI), neuroinflammation driven by lipid-laden macrophage foam cells is a key pathology, yet how these cells manage their lipid homeostasis is unclear. We delineate a neuroprotective axis in which macrophages deploy apolipoprotein E (APOE) to transfer intracellular lipids to neighboring cells, especially fibroblasts. Genetic ablation of The online version contains supplementary material available at 10.1186/s12974-026-03756-9. Show less
📄 PDF DOI: 10.1186/s12974-026-03756-9
APOE
Yu-Chu Ella Chung, Ren-Hua Chung, Chih-Cheng Hsu +10 more · 2026 · JAMA network open · added 2026-04-24
Alzheimer disease (AD) pathology may begin decades before symptoms. Genetic factors, such as APOE ε4 carrier status and polygenic risk scores (PRS), influence AD risk, but their roles in cognitive dec Show more
Alzheimer disease (AD) pathology may begin decades before symptoms. Genetic factors, such as APOE ε4 carrier status and polygenic risk scores (PRS), influence AD risk, but their roles in cognitive decline among Asian populations remain unclear. To evaluate whether APOE ε4 carrier status and a non-APOE polygenic risk score (PRS_ADnapoe) are associated with age-related cognitive decline in community-dwelling older adults in Taiwan. This prospective cohort study used data from 2 assessment waves of the Healthy Aging Longitudinal Study in Taiwan, spanning 2009 to 2019. Participants were aged 55 years and older and had both genetic data and Mini-Mental State Examination (MMSE) scores. Data analyses were conducted from August to December 2025. APOE ε4 carrier status (noncarrier, heterozygote, homozygote) and PRS_ADnapoe score, derived from genome-wide association summary statistics excluding APOE variants. The primary outcome was change in MMSE scores, which were assessed cross-sectionally and longitudinally, modeled with mixed-effects regression accounting for age-related effects and covariates including sex, education, smoking, and population structure. Among 4392 participants (mean [SD] age, 68.2 [7.8] years; 2359 [53.7%] women), 723 (16.5%) were APOE ε4 heterozygotes and 33 (0.8%) were APOE ε4 homozygotes. Over a mean (SD) follow-up of 6.3 (0.9) years, the mean (SD) annual MMSE decline was -0.2 (0.5). APOE ε4 carriage was associated with a significantly steeper quadratic age-associated decline in MMSE scores compared with noncarriers (estimate, -0.005; SE, 0.001; P = .001). This association was strongest among homozygotes (estimate, -0.017; SE, 0.008; P = .03), with MMSE trajectories diverging after approximately age 70 years. In contrast, PRS_ADnapoe scores were not associated with MMSE decline. Sensitivity analyses restricted to participants with 2-wave data and adjusted with inverse probability of censoring weighting confirmed these findings. In this cohort study of middle-aged and older adults in Taiwan, APOE ε4 carriage, particularly homozygosity, was associated with accelerated age-related cognitive decline detectable after age 70 years, whereas non-APOE polygenic risk was not associated with cognitive decline over the current follow-up. These results highlight the potential utility of early genetic risk awareness and support consideration of targeted preventive strategies for APOE ε4 carriers. Show less
📄 PDF DOI: 10.1001/jamanetworkopen.2026.0853
APOE
Peyton Subia, Xiong Jiang · 2026 · AIDS (London, England) · added 2026-04-24
With a rapidly aging population living with HIV that may face a double-hit of neuroHIV and Alzheimer's disease, the objective of this meta-analysis was to evaluate the impact of ε4 on cognitive perfor Show more
With a rapidly aging population living with HIV that may face a double-hit of neuroHIV and Alzheimer's disease, the objective of this meta-analysis was to evaluate the impact of ε4 on cognitive performance in adults with HIV. The primary literature search was conducted with PubMed and other databases on studies published between 1997 and 2025. Searches were conducted from inception until June 2025. Out of 289 initial studies, 17 were identified for inclusion meeting pre-defined criteria. Data extraction was performed by two independent observers and followed established guidelines (PRISMA). Pooled data included a total of 2610 adults with HIV, including 765 ε4 carriers (age 45.3 ± 8.1 years, 62.1% male) and 1845 non-carriers (age 44.7 ± 9.2, 67.5% male). There was no significant difference between ε4 carriers and non-carriers in diagnosis of neurocognitive impairment (OR = 1.10, 95% CI 0.8 to 1.5 p = .563), nor in performance of any of the examined cognitive domains (Hedges gs<0.2, ps > 0.17). Meta-regression analysis suggested that less education was associated with increased risk of neurocognitive impairment in carriers (p = .0143). After controlling for the potential bias from "overrepresented" cohorts that appeared in multiple publications, this meta-analysis found no significant effects of ε4 on neurocognitive performance or impairment in adults with HIV, despite a weak and non-significant trend of low performance in memory and executive function in ε4 carriers. Factors such as a relatively young age may contribute to the null findings. Future studies with relatively older cohorts and more sensitive/interdisciplinary approaches are needed. Show less
no PDF DOI: 10.1097/QAD.0000000000004473
APOE
Wenjun Zhang, Wanjun Liu, Xiaodan Zhong +11 more · 2026 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.124508
APOE
Xiaofeng Ma, Zhaobing Li, Huan Liu +13 more · 2026 · Free radical biology & medicine · Elsevier · added 2026-04-24
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resi Show more
Atherosclerosis is a lipid-driven chronic inflammatory process, in which the functional status of macrophages significantly influences its initiation, progression, and eventual outcomes. Tartrate-Resistant Acid Phosphatase 5 (ACP5) has been shown to be highly expressed in various cancers and serves as a serum biomarker for extensive bone metastasis and poor prognosis. However, its role and underlying mechanisms in atherosclerosis remain largely unknown. In this study, we found that high-fat diet-fed Apoe Show less
no PDF DOI: 10.1016/j.freeradbiomed.2026.02.035
APOE
Yifei Lv, Xiaomin Jiang, Yu Chang +6 more · 2026 · Redox biology · Elsevier · added 2026-04-24
Monocyte adhesion to vascular endothelial cells is a critical step in the pathogenesis of atherosclerosis. While unconventional myosins are known to participate in various cellular activities, their s Show more
Monocyte adhesion to vascular endothelial cells is a critical step in the pathogenesis of atherosclerosis. While unconventional myosins are known to participate in various cellular activities, their specific role in monocyte-endothelium adhesion remains unclear.In the present study, we investigated the effects of Myosin IF (Myo1f), a class I unconventional myosin, on atherosclerosis and its underlying mechanisms. A high-cholesterol diet was administered to apolipoprotein E-KO (Apoe Myo1f expression was found to be significantly increased in PBMCs of patients with coronary artery disease. Moreover, Myo1f-deficient mice exhibited a notable reduction in atherosclerotic plaque area and lipid deposition compared to Apoe Our data indicate that Myo1f regulates monocyte adhesion and contributes to the pathogenesis of atherosclerosis by recruiting EPLINα, which stabilizes F-actin. This stabilization enhances MRTFA nuclear translocation, thereby promoting ITGB2 transcription. Show less
📄 PDF DOI: 10.1016/j.redox.2026.104049
APOE
Junyi Tu, Runpu Ma, Wei Jiang +5 more · 2026 · Journal of materials chemistry. B · Royal Society of Chemistry · added 2026-04-24
Conventional nanocarriers are readily cleared by macrophages in the liver, with only a minimal fraction reaching hepatocytes. This limitation has been effectively overcome in clinically approved lipid Show more
Conventional nanocarriers are readily cleared by macrophages in the liver, with only a minimal fraction reaching hepatocytes. This limitation has been effectively overcome in clinically approved lipid nanoparticles (LNPs) through the incorporation of ionizable lipids. Inspired by this property, we explored whether incorporating ionizable lipids into the lipid bilayer membrane of mesoporous silica nanoparticles (silicasomes) could similarly enhance their hepatic cellular uptake. We developed ionizable silicasomes (I-silicasomes) and systematically compared them with ionizable liposomes (I-liposomes), as well as their conventional counterparts (C-silicasomes and C-liposomes). Surprisingly, I-silicasomes did not enhance hepatocyte uptake Show less
no PDF DOI: 10.1039/d5tb02579f
APOE
Mei Ge, Chenyu Li, Tao Jiang +2 more · 2026 · BMC genomics · BioMed Central · added 2026-04-24
The longissimus dorsi muscle and backfat are important components of pork and complement each other in physiological function, significantly influencing key traits such as growth performance, carcass Show more
The longissimus dorsi muscle and backfat are important components of pork and complement each other in physiological function, significantly influencing key traits such as growth performance, carcass traits, and meat quality. While the transcriptomic atlas across different tissues in pigs has been widely studied, the underlying epigenetic regulatory mechanisms remain to be explored. In this study, we collected muscle and adipose tissues from hybrid offspring of lean-type (Western commercial pigs) and fat-type (Chinese indigenous pigs) pigs ( Transcriptome sequencing identified 2,908 differentially expressed genes, which are primarily involved in collagen fibril organization, skeletal muscle contraction, and muscle organ development. Whole-genome DNA methylation sequencing identified 2,787 differentially methylated genes in the promoter region. Through integrative analysis, we found 571 genes that were shared, 390 of which showed a significant negative correlation between gene expression and promoter DNA methylation. These genes are mainly involved in cholesterol metabolism, PPAR signaling pathway, cytoskeleton in muscle cell, and calcium ion signaling pathways. Notably, we discovered that the differential expression of genes such as These results suggest that DNA methylation plays an extensive and subtle regulatory role in tissue-specific gene expression, thereby facilitating different tissues to execute their specific physiological functions. This study further enriches our understanding of the integrative mechanisms between epigenetic regulation and transcriptomics in pigs and provides important theoretical foundations for precision molecular breeding. The online version contains supplementary material available at 10.1186/s12864-026-12559-4. Show less
📄 PDF DOI: 10.1186/s12864-026-12559-4
APOE
Hui He, Meng Ding, Yuan Zhu +5 more · 2026 · Journal of translational medicine · BioMed Central · added 2026-04-24
High levels of circulating interleukin (IL)-16 are associated with a reduced incidence of cardiovascular events. The disruption of atherosclerotic plaques commonly causes myocardial infarction and str Show more
High levels of circulating interleukin (IL)-16 are associated with a reduced incidence of cardiovascular events. The disruption of atherosclerotic plaques commonly causes myocardial infarction and stroke. In this study, we investigated the effects of IL-16 on phenotypic modification of plaques. Mice with deficiencies in IL-16 and apolipoprotein E (IL16 IL-16 deficiency increased the necrotic core and reduced fibrous cap thickness in the plaques. IL-16 deletion accelerated the degradation of intraplaque collagen and elastin, increased matrixmetalloproteinase activity, and reduced TIMP-3 expression. Transplantation of wild-type IL-16 bone marrow into IL-16 knockout mice successfully attenuated the plaque instability caused by IL16 deficiency. Furthermore, hematopoietic-derived IL-16 activated the CD4/JAK2/STAT6 pathway and increased the binding of STAT6 to the coactivator cAMP-response element-binding protein (CBP)/p300 at the TIMP-3 promoter in smooth muscle cells (SMCs). Consequently, acetylation of STAT6 and histone H3 increased more than 2-fold, which caused a 2.2-fold upregulation of TIMP-3. Moreover, the anti-atherosclerotic effects of IL-16 on plaque stability were abrogated by the SMC-specific deletion of CD4, and the plaque vulnerability caused by IL-16 defects was reversed by SMC-specific overexpression of TIMP-3. IL-16/CD4/JAK2/STAT6 upregulates TIMP-3 expression in SMCs to remodel the intraplaque extracellular matrix toward a stable phenotype. Our findings suggest that IL-16 is a novel factor in vascular remodeling and atherosclerotic plaque phenotype modulation and is a potential target for intervention in the later stages of atherosclerosis. Show less
📄 PDF DOI: 10.1186/s12967-025-07663-0
APOE
Ying Zhang, Zhouting Tuo, Yuan Lin +10 more · 2026 · Cancer research · added 2026-04-24
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating Show more
Cancer-associated fibroblasts (CAF) are abundant stromal cells in the tumor microenvironment (TME) that play a vital role in promoting tumor progression and drug resistance. The mechanisms regulating heterogeneity of CAFs in renal cell carcinoma (RCC) could represent potential targets for reprogramming the TME. In this study, we conducted single-cell RNA sequence and flow cytometry analyses that identified a CAF subset overexpressing apolipoprotein E (ApoE), which was correlated with poor survival in patients with RCC. Mechanistically, NRF1 activation in CAFs induced formation of ApoEhigh CAFs and secretion of NRG1. ApoEhigh CAFs potentiated stemness properties in the surrounding RCC cells by secreting NRG1 and subsequently activating the HER2/NF-κB pathway. Interfering with NRG1 expression or inhibiting NF-κB signaling reduced ApoEhigh CAF-induced stemness of RCC cells. Furthermore, neutralizing NRG1 enhanced the efficacy of sunitinib in RCC models in vivo. Together, these findings highlight targeting the tumor-promoting functions of ApoEhigh CAFs as a promising approach for treating advanced RCC. NRF1 drives formation of ApoEhigh cancer-associated fibroblasts that secrete NRG1 to stimulate stemness of renal cell carcinoma, revealing a stromal-mediated mechanism that can be inhibited to improve treatment of advanced kidney cancer. Show less
no PDF DOI: 10.1158/0008-5472.CAN-25-0959
APOE
Chenhui Mao, Wenjun Wang, Xinying Huang +15 more · 2026 · Alzheimer's research & therapy · BioMed Central · added 2026-04-24
Lecanemab is an anti-Aβ antibody approved in China for mild cognitive impairment (MCI) and mild dementia. Real-world application requires comprehensive assessment beyond MMSE scores, considering facto Show more
Lecanemab is an anti-Aβ antibody approved in China for mild cognitive impairment (MCI) and mild dementia. Real-world application requires comprehensive assessment beyond MMSE scores, considering factors like ARIA risk. This single-center, real-world study aims to evaluate its efficacy in an expanded population, observe biomarker changes, and assess its safety profile in clinical practice. We recruited adults aged 40-90 with early AD from the PUMCH Dementia Cohort. A total of 42 patients received lecanemab treatment, of whom 29 completed the 6-month treatment evaluation. Participants had confirmed amyloid and tau pathology and met clinical criteria (CDR ≤ 1, CDR-SB ≤ 8and MMSE ≥ 18). Comprehensive assessments included neuropsychological testing, CSF and plasma biomarkers (Lumipulse G1200), multi-sequence 3T MRI (volumetric and ALPS index analysis), and amyloid/tau PET imaging (Centiloid quantification). All were monitored for adverse reactions. Matched control groups (matched for sex, age, APOE genotype, disease severity, and baseline therapy) were established for comparison of longitudinally changes in cognitive function, daily living ability and structure MRI. Treatment was effective even for patients with lower MMSE scores but still classified as having mild dementia by CDR. A significant median Centiloid reduction of 30.9 was observed, with a 24.1% amyloid PET negativity rate after six months. While scores on cognitive and functional scales (CDR-SB, ADL) significantly worsened, indicating disease progression, the rate of progression was significantly slower compared to the control group. Structural MRI showed significant volume reduction in multiple brain regions and increased ventricular volume post-treatment, with no statistically significant change in the ALPS value. The rate of brain volume reduction is faster than that in the control group. Plasma biomarker dynamics (Aβ This study confirms the clinical efficacy, biomarker changes, and safety profile of lecanemab treatment over a 6-month period, demonstrating its positive therapeutic value and a favorable safety profile in the Chinese population with AD. Show less
📄 PDF DOI: 10.1186/s13195-025-01943-z
APOE
Haijiao Zou, Dongmei Zhou, Shaodan Fang +6 more · 2026 · Immunobiology · Elsevier · added 2026-04-24
Thin endometrium (TE), affecting 1.5 %-9.1 % of reproductive-aged women, emerges as a disturbed decidua microenvironment underpinning implantation failure and recurrent pregnancy loss. Through integra Show more
Thin endometrium (TE), affecting 1.5 %-9.1 % of reproductive-aged women, emerges as a disturbed decidua microenvironment underpinning implantation failure and recurrent pregnancy loss. Through integrated single-cell transcriptomics with histopathology and multiplex immunofluorescence (TSA) validation, we delineated TE as a disease of coordinated repairment impairment and pro-fibrotic remodeling across stromal and immune compartments. Key findings revealed a pathological imbalance in stromal subsets, including the decrease of regenerative IGFBP3 + Stromal₁ cells and expansion of fibrogenic Stromal₂ populations, driving collagen-dominant extracellular matrix remodeling. Concurrently, immune dysfunction was unmasked. NK cells decreased and shifted from immune surveillance to a pro-inflammatory phenotype, T cells transitioned from immune regulation to extracellular matrix remodeling effectors and macrophages adopted a pro-fibrotic phenotype with lipid metabolic collapse. CellChat analysis pinpointed suppression of GZMA-PARD3 and APOE-TREM2 axes as drivers of stromal dysfunction, while the hyperactivated adhesion (LAMA3) and collagen pathways served as central mediators of the fibro-inflammatory cascade. These findings, based on single-cell RNA-seq and spatial verification, suggest therapeutic targets for restoring endometrial homeostasis in TE. These findings suggested that TE as a disease of progressive stromal-immune fibrosis dysregulation, offering novel therapeutic targets to restore endometrial repairment and microenvironmental homeostasis. Show less
no PDF DOI: 10.1016/j.imbio.2025.153152
APOE
Tianpei Ma, Xin Chen, Qingwen Zhao +19 more · 2026 · The journals of gerontology. Series A, Biological sciences and medical sciences · Oxford University Press · added 2026-04-24
Cognitive impairment is a significant health concern in aging populations, but the interplay between biological aging, lifestyle factors, and genetic susceptibility remains unclear. This study examine Show more
Cognitive impairment is a significant health concern in aging populations, but the interplay between biological aging, lifestyle factors, and genetic susceptibility remains unclear. This study examined whether accelerated biological aging is associated with cognitive impairment, whether lifestyle modifies this association, and how genetic background influences these relationships in Chinese older adults. In this cross-sectional study (2022-2023), 7033 participants from southwestern China were included. Accelerated biological aging was calculated as the residual difference between biological age (based on 10 biomarkers) and chronological age. Lifestyle was assessed via a composite index (smoking, alcohol, physical activity, diet, sleep). Cognitive function was measured using the Chinese Mini-Mental State Examination (C-MMSE), and genetic risk was evaluated through polygenic scores and APOE ε4 status. Linear and logistic regression models assessed associations between accelerated aging and cognition. Accelerated biological aging was associated with lower MMSE scores ( β = -0.243, 95% CI: -0.354, -0.133) and higher cognitive impairment prevalence (OR = 1.098, 95% CI: 1.040, 1.158). An unhealthy lifestyle exacerbated cognitive impairment in biologically older individuals (RERI = 0.25). Those with both accelerated aging and unhealthy lifestyle had the lowest MMSE scores ( β = -1.424, 95% CI: -1.846, -1.003) and highest odds of cognitive impairment (OR = 1.467, 95% CI: 1.194, 1.803). These effects were consistent across all genetic background subgroups. Accelerated aging was associated with lower cognitive function, especially in individuals with unhealthy lifestyles, regardless of genetic susceptibility. This highlights lifestyle modification as a potential intervention target for aging-related cognitive impairment. Show less
no PDF DOI: 10.1093/gerona/glaf277
APOE
Xu Chen, Xueying Jiang, Siyu Hou +12 more · 2026 · Metabolism: clinical and experimental · Elsevier · added 2026-04-24
Vascular smooth muscle cell (VSMC)-derived foam cell formation is a major contributor to atherosclerosis progression and plaque instability. Meteorin-like protein (METRNL), a secreted organokine with Show more
Vascular smooth muscle cell (VSMC)-derived foam cell formation is a major contributor to atherosclerosis progression and plaque instability. Meteorin-like protein (METRNL), a secreted organokine with known metabolic and anti-inflammatory effects, has been linked to cardiovascular protection, but its role in atherosclerosis is not well defined. This study investigated the function of METRNL in VSMC-derived foam cell formation and atherosclerosis and explored the underlying signaling mechanisms. ApoE METRNL levels declined during atherosclerosis progression and were restored during regression. METRNL selectively inhibited foam cell formation in VSMCs-but not in macrophages-by downregulating CD36-mediated cholesterol uptake and suppressing endoplasmic reticulum stress through KIT signaling. Deletion of KIT specifically in smooth muscle cells abolished these protective effects. The transcription factor SP1 was found to bind directly to the METRNL promoter and enhance its expression. Clinically, lower serum METRNL levels were independently associated with increased risk and severity of acute coronary syndrome. METRNL protects against VSMC foam cell formation and atherosclerosis by enhancing KIT signaling, thereby reducing ER stress and subsequent cholesterol uptake. These findings position METRNL as a potential therapeutic target and biomarker for atherosclerotic cardiovascular disease. Show less
no PDF DOI: 10.1016/j.metabol.2025.156459
APOE
Rulin Li, Qihao Fu, Zeyu Jiang +7 more · 2026 · International immunopharmacology · Elsevier · added 2026-04-24
The formation of foamy cells (FMMs) by excessive engulfment of myelin debris (MD) causes secondary neuroinflammation and chronic neuropathies after traumatic spinal cord injury (SCI). It is unclear wh Show more
The formation of foamy cells (FMMs) by excessive engulfment of myelin debris (MD) causes secondary neuroinflammation and chronic neuropathies after traumatic spinal cord injury (SCI). It is unclear what the function and mechanism of retinoid X receptor (RXR) α are in FMMs-induced neuroinflammation and neural improvement post SCI. The present study aims to investigate the effects and underlying mechanisms of RXRα activation on FMMs and SCI mice. We established an in vitro FMMs model by MD stimulation and an in vivo SCI model in mice. Using an agonist 2, 4-Di-tert-butylphenol (2, 4-DTBP), we activated RXRα and examined the inflammation levels by PCR, WB, and Immunofluorescence (IF), then detected lipid accumulation by BODIPY and Oil red O staining, and determined secondary neuropathies using IF and histological staining. The locomotor function recovery was assessed using motor evoked potential (MEP), Basso Mouse Scale (BMS), as well as footprint assay. Activation of RXRα by 2, 4-DTBP reduced the expression of interleukin (IL)-6, IL-1β, and tumor necrosis factor (TNF)-α and the levels of inflammatory mediators iNOS and COX-2. Besides, treatment with 2, 4-DTBP increased the expression of cholesterol efflux channels including Abca1, Abcg1, Apoe, and caused a marked decrease in intracellular cholesterol and lipid accumulation. Blocking the RXRα-induced cholesterol efflux caused an increase in cholesterol and FMMs, reversing the prior decrease, and exacerbated the degree of neuroinflammation. Also, administration of 2, 4-DTBP improved the neuropathies and locomotor function recovery after SCI.Taken together, activation of RXRα decreased the formation of FMMs by promoting cholesterol efflux and inhibited neuroinflammation by inhibition of p38 and NF-κB signaling after SCI. It is a promising target for mitigating FMMs-induced neuroinflammation and locomotor dysfunction. Show less
no PDF DOI: 10.1016/j.intimp.2025.115945
APOE
Hongfang Gong, Yaping Song, Dongmei Yang +6 more · 2026 · Tissue & cell · Elsevier · added 2026-04-24
The coordinated development of skeletal muscle and intramuscular adipose tissue in animals essentially determines meat yield and quality, a process co-regulated by multiple genes. Using a co-culture m Show more
The coordinated development of skeletal muscle and intramuscular adipose tissue in animals essentially determines meat yield and quality, a process co-regulated by multiple genes. Using a co-culture model of bovine skeletal muscle cells (SMCs) and intramuscular adipocytes (IMAs), integrated with transcriptomic sequencing and bioinformatic analyses, key candidate genes coregulating muscle development and fat deposition were identified. Three potential coregulators-WNT5A, APOE, and BDKRB2-were selected. Protein-protein interaction (PPI) network analysis, along with tissue and cellular expression profiling, indicates that WNT5A potentially interacts with key protein markers of adipogenesis and myogenesis. Furthermore, it is highly expressed in both adipose and muscle tissues. Pathway enrichment analysis revealed significant enrichment of WNT5A in the Wnt signaling pathway. These findings suggest that WNT5A plays a dual regulatory role in the development of both skeletal muscle and intramuscular fat (IMF). This finding lays a solid theoretical foundation for deciphering the molecular mechanisms of muscle-fat deposition in beef cattle and for improving meat quality. Show less
no PDF DOI: 10.1016/j.tice.2025.103245
APOE
Hangfan Zhou, Qilong Zhang, Songhao Jiang +10 more · 2026 · Veterinary microbiology · Elsevier · added 2026-04-24
Bovine tuberculosis (bTB) is a chronic infectious disease caused by the Mycobacterium bovis (M. bovis). Rapid, cost-effective, and accurate diagnosis of bTB remains a significant clinical challenge gl Show more
Bovine tuberculosis (bTB) is a chronic infectious disease caused by the Mycobacterium bovis (M. bovis). Rapid, cost-effective, and accurate diagnosis of bTB remains a significant clinical challenge globally. In this study, we performed a comprehensive proteomic analysis to evaluate the discriminatory power of plasma and plasma exosomes for bTB diagnosis. We compared protein expression profiles across three groups: M. bovis-negative controls (bTB_N, n = 10), M. bovis-positive cases (bTB_P, n = 10), and co-infected animals (Other_P, n = 10) with Brucella, infectious bovine rhinotracheitis virus (IBRV), and bovine viral diarrhea-mucosal disease virus (BVDV). Quantitative analysis identified 3820 exosomal proteins-2.27-fold more than the 1686 plasma proteins detected. Exosomal proteins exhibited superior sample clustering and discriminative capacity for infected groups. Notably, 227 plasma and 861 exosome-derived proteins were uniquely differentially expressed in bTB (bTB-specific DEPs). Pathway enrichment analysis revealed that exosome-specific DEPs were significantly enriched in TB-related pathways, including neutrophil extracellular trap (NET) formation, endocytosis, and tuberculosis, exhibiting greater biological relevance compared to plasma-specific DEPs. Furthermore, eight candidate proteins (APOE, FBLN5, VDAC1, ABCE1, LMAN1, PLG, SPP1, and SRP9) demonstrated high specificity for bTB discrimination, with two (FBLN5 and SPP1) displaying stage-specific expression patterns during M. bovis infection. This study underscore plasma exosome as a highly promising source of biomarkers for bTB diagnosis, offering enhanced sensitivity and deeper mechanistic insights over conventional plasma proteome. Show less
no PDF DOI: 10.1016/j.vetmic.2025.110814
APOE
Yunhe Wang, Sihao Xiao, Bowen Liu +22 more · 2026 · Nature aging · Nature · added 2026-04-24
Aging and age-related diseases share convergent pathways at the proteome level. Here, using plasma proteomics and machine learning, we developed organismal and ten organ-specific aging clocks in the U Show more
Aging and age-related diseases share convergent pathways at the proteome level. Here, using plasma proteomics and machine learning, we developed organismal and ten organ-specific aging clocks in the UK Biobank (n = 43,616) and validated their high accuracy in cohorts from China (n = 3,977) and the USA (n = 800; cross-cohort r = 0.98 and 0.93). Accelerated organ aging predicted disease onset, progression and mortality beyond clinical and genetic risk factors, with brain aging being most strongly linked to mortality. Organ aging reflected both genetic and environmental determinants: brain aging was associated with lifestyle, the GABBR1 and ECM1 genes, and brain structure. Distinct organ-specific pathogenic pathways were identified, with the brain and artery clocks linking synaptic loss, vascular dysfunction and glial activation to cognitive decline and dementia. The brain aging clock further stratified Alzheimer's disease risk across APOE haplotypes, and a super-youthful brain appears to confer resilience to APOE4. Together, proteomic organ aging clocks provide a biologically interpretable framework for tracking aging and disease risk across diverse populations. Show less
📄 PDF DOI: 10.1038/s43587-025-01016-8
APOE
Wenyu Gao, Hao Chen, Fangyu Lin +7 more · 2026 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
Gastric cancer (GC) is a leading cause of cancer-related deaths and has high recurrence rate. Although fibronectin domain-containing protein 1 (FNDC1) is implicated in GC progression, its molecular me Show more
Gastric cancer (GC) is a leading cause of cancer-related deaths and has high recurrence rate. Although fibronectin domain-containing protein 1 (FNDC1) is implicated in GC progression, its molecular mechanisms remain unclear. Multi-omics analyses (TCGA, GEO datasets) were used to assess FNDC1 expression and clinical correlation. In vitro (cell proliferation, invasion, EMT markers) and in vivo (xenograft) experiments, combined with molecular assays (Co-IP, WB, ChIP), explored FNDC1's function and mechanism. FNDC1 was significantly upregulated in GC, correlating with advanced clinicopathological features and poor prognosis. Knockdown of FNDC1 suppressed GC cell proliferation, invasion, and metastasis by inhibiting EMT and Wnt/β-catenin signaling. Mechanistically, FNDC1 competitively bound the WD5 domain (residues 224-254) of Gβ2, disrupting Gβγ-Dvl1 interaction. This prevented Dvl1 degradation, promoted Axin1 ubiquitination, and destabilized the β-catenin-destruction complex (GSK3 β-APC-Axin1), leading to β-catenin accumulation and Wnt pathway activation. FNDC1 drives GC malignancy by targeting the Gβ2-Dvl1 axis to activate Wnt/β-catenin signaling, suggesting FNDC1 as a novel prognostic biomarker and therapeutic target. Show less
📄 PDF DOI: 10.1096/fj.202503587R
AXIN1
Thanh-Tung Ho, Hai Huang, Yi-Ling Li +6 more · 2026 · Biological trace element research · Springer · added 2026-04-24
Manganese and iron are essential trace elements involved in critical neuronal processes; however, excessive exposure to these metals is a significant risk factor for Alzheimer's disease (AD). While mo Show more
Manganese and iron are essential trace elements involved in critical neuronal processes; however, excessive exposure to these metals is a significant risk factor for Alzheimer's disease (AD). While most previous studies have focused on single-metal neurotoxicity, the mechanisms underlying combined manganese and iron exposure remain unclear. In this study, we investigated the effects of manganese and iron exposure, both individually and in combination, on tau hyperphosphorylation, β-amyloid (Aβ) accumulation (particularly Aβ Show less
📄 PDF DOI: 10.1007/s12011-025-04681-3
BACE1
Shaojie Yu, Minjie Wang, Cheng Jiang +9 more · 2026 · Cell death and differentiation · Nature · added 2026-04-24
Nutrient competition between tumor and immune cells is a hallmark of the glioblastoma (GBM) microenvironment, yet the mechanisms underlying amino acid metabolic reprogramming and immune evasion remain Show more
Nutrient competition between tumor and immune cells is a hallmark of the glioblastoma (GBM) microenvironment, yet the mechanisms underlying amino acid metabolic reprogramming and immune evasion remain incompletely understood. Here, we demonstrate that GBM cells outcompete NK cells for branched-chain amino acid (BCAA), leading to BCAA depletion, suppression of NK and CD8 Show less
no PDF DOI: 10.1038/s41418-026-01725-6
BCKDK
Jinlun Jiang, Shiyu Wang, Yiming Ni +3 more · 2026 · Journal of diabetes research · added 2026-04-24
Diabetic foot ulcer (DFU), a severe complication of diabetes, impose substantial global health burdens. Dampness-heat syndrome (DHS), a common syndrome in traditional Chinese medicine (TCM), is highly Show more
Diabetic foot ulcer (DFU), a severe complication of diabetes, impose substantial global health burdens. Dampness-heat syndrome (DHS), a common syndrome in traditional Chinese medicine (TCM), is highly prevalent among DFU patients and closely correlated with treatment response and prognosis. However, the molecular biomarkers associated with DFU in patients with DHS remain poorly understood. Serum 4D-data-independent acquisition (DIA) proteomics was performed on 16 DFU-DHS patients and six healthy controls (HCs). Differentially expressed proteins (DEPs) were screened by |fold change (FC)| > 1.2 and p < 0.05. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) analyses were conducted. Key biomarkers were validated via enzyme-linked immunosorbent assay (ELISA) in 28 independent DFU-DHS cases. A total of 201 DEPs were identified between DFU-DHS patients and HCs. Bioinformatics revealed DEPs enriched in lipid metabolism (high-density lipoprotein [HDL] remodeling and cholesterol metabolism) and complement-coagulation cascades. PPI network analysis revealed a core functional module centered on four proteins, APOA1, LCAT, PLTP, and CETP. ELISA validation confirmed the significant dysregulation of these four apolipoproteins in the independent DFU-DHS cohort (all p < 0.05 vs. HCs). The combination of the biomarkers APOA1, LCAT, PLTP, and CETP exhibited a high diagnostic efficacy for DFU-DHS, with an area under the curve (AUC) of 0.9672 based on receiver operating characteristic (ROC) analysis. To our knowledge, this is the first study to employ 4D-DIA proteomics on DFU-DHS. We identified four serum biomarkers (APOA1, LCAT, PLTP, and CETP) linked to dysregulated cholesterol metabolism in DFU-DHS patients, which show diagnostic potential and provide insights for integrating TCM syndrome differentiation with precision medicine. Show less
no PDF DOI: 10.1155/jdr/6604989
CETP
Yi Ding, Yuying Tian, Mengjuan Li +14 more · 2026 · Theranostics · added 2026-04-24
📄 PDF DOI: 10.7150/thno.123679
CPS1
Ugochukwu Odimba, Jamie Farrell, Mohsen Sadatsafavi +2 more · 2026 · Environmental research · Elsevier · added 2026-04-24
Ambient air pollution contributes to chronic obstructive pulmonary disease (COPD), but the genetic factors that may influence susceptibility remain poorly defined. We conducted a genome-wide interacti Show more
Ambient air pollution contributes to chronic obstructive pulmonary disease (COPD), but the genetic factors that may influence susceptibility remain poorly defined. We conducted a genome-wide interaction analysis to identify genetic markers that may modify the association between air pollution and COPD. We analyzed data from 16,839 Canadian Longitudinal Study of Aging participants, including spirometry, genome-wide genotype data (645,625 single-nucleotide polymorphisms [SNPs]), and air pollution exposure estimates. COPD was defined as a forced expiratory volume in 1 second to forced vital capacity ratio (FEV Show less
no PDF DOI: 10.1016/j.envres.2026.123837
DLG2
Can Jiang, Xiaoli Tang, Ziyang Xu +5 more · 2026 · International journal of biological macromolecules · Elsevier · added 2026-04-24
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and exp Show more
DUSP6, a dual-specificity phosphatase, has become a focal point in understanding the pathogenesis of various liver disorders. This study aims to investigate the role of DUSP6 in liver fibrosis and explore the underlying mechanism. Using a CCL4-induced mouse model, the consistent upregulation of DUSP6 expression was observed. Notably, when Dusp6 was knocked down, liver fibrosis showed significant improvement, revealing a protective effect intricately linked to the ERK pathway. This was accompanied by an increase in ferroptosis-related proteins SLC7A11 and GPX4, underscoring the role of ferroptosis, an iron-dependent form of regulated cell death, in this process. Transcriptomic analysis further revealed a crucial downregulation of Cyp2e1 following Dusp6 knockdown. In vitro, DUSP6 knockdown not only promoted ERK phosphorylation but also suppressed CYP2E1 expression, enhancing cell proliferation, bolstering hepatocyte resistance to ferroptosis, and alleviating hepatocyte injury. Importantly, inhibiting CYP2E1 in mouse models of liver fibrosis effectively slowed the progression. These findings illuminate a critical regulatory mechanism that DUSP6 regulates liver fibrosis via targeting ferroptosis, offering new a direction for therapeutic strategies in liver disease. Show less
no PDF DOI: 10.1016/j.ijbiomac.2025.149856
DUSP6
Xiaohua Huang, Wei Lu, Dandan Jiang +2 more · 2026 · Genes & diseases · Elsevier · added 2026-04-24
📄 PDF DOI: 10.1016/j.gendis.2025.101671
DUSP6
Cheng Huang, Haowen Liu, Bao Jiang +6 more · 2026 · Bioelectrochemistry (Amsterdam, Netherlands) · Elsevier · added 2026-04-24
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high m Show more
Acute kidney injury (AKI), a critical clinical syndrome marked by high incidence and mortality, is currently diagnosed mainly by serum creatinine (SCr) and blood urea nitrogen (BUN), which have high miss rates. This study innovatively proposes using urinary hydrogen peroxide (H Show less
no PDF DOI: 10.1016/j.bioelechem.2025.109173
DYM
Lianguang Jiang, Yanli Zhao, Qingyue Zhang +4 more · 2026 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
This experiment investigated the effects of dietary
📄 PDF DOI: 10.3390/ani16071097
FADS1
Pingfan Zhao, Fuyong Pei, Yanmin Liu +7 more · 2026 · Translational oncology · Elsevier · added 2026-04-24
Liver metastasis is the predominant cause of mortality among individuals diagnosed with colorectal cancer (CRC). However, the mechanisms underlying the tumor-microenvironment interactions that promote Show more
Liver metastasis is the predominant cause of mortality among individuals diagnosed with colorectal cancer (CRC). However, the mechanisms underlying the tumor-microenvironment interactions that promote this process remain poorly defined. Here, we developed an integrative multiomics framework to dissect the cellular and molecular determinants of colorectal cancer liver metastasis (CRLM). By analyzing 1,156 metastasis-associated genes, we identified three molecular subtypes with distinct prognostic and immunometabolic features: C1 with mixed phenotypes and favorable survival, C2 with metabolic activation and immune suppression, and C3 with immune activation and signaling dysregulation, which had the poorest outcomes. Mechanistically, we discovered that SPP1⁺ macrophages secrete PDGFB, which activates PDGFRB signaling in FADS1⁺ tumor cells to trigger epithelial-mesenchymal transition (EMT) and promote liver metastasis. This macrophage-tumor crosstalk was validated by single-cell transcriptomics, genetic perturbation, and coculture experiments. Collectively, our findings define a macrophage-derived PDGFB-PDGFRB axis that drives CRC liver metastasis and highlight a potential therapeutic target for overcoming metastatic progression and immune resistance. Show less
📄 PDF DOI: 10.1016/j.tranon.2026.102696
FADS1