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White matter fractional anisotropy decreases precede hyperintensities in Alzheimer's disease. 阿尔茨海默病的白质分数各向异性降低之前的高强度。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-05-20 DOI: 10.1016/j.xcrm.2025.102138
Pan Sun, Zhengbo He, Erwei Chu, Xiang Fan, Yue Cai, Guoyu Lan, Lin Liu, Dai Shi, Li Liang, Jie Yang, Anqi Li, Yalin Zhu, Xin Zhou, Lili Fang, Yiying Wang, Laihong Zhang, Zhen Liu, Ting Ma, Guanxun Cheng, Linsen Xu, Tengfei Guo
{"title":"White matter fractional anisotropy decreases precede hyperintensities in Alzheimer's disease.","authors":"Pan Sun, Zhengbo He, Erwei Chu, Xiang Fan, Yue Cai, Guoyu Lan, Lin Liu, Dai Shi, Li Liang, Jie Yang, Anqi Li, Yalin Zhu, Xin Zhou, Lili Fang, Yiying Wang, Laihong Zhang, Zhen Liu, Ting Ma, Guanxun Cheng, Linsen Xu, Tengfei Guo","doi":"10.1016/j.xcrm.2025.102138","DOIUrl":"10.1016/j.xcrm.2025.102138","url":null,"abstract":"<p><p>The associations of β-amyloid (Aβ) and tau deposition with white matter (WM) degeneration in Alzheimer's disease (AD) remain inadequately elucidated. We investigate baseline and longitudinal changes of microstructural fractional anisotropy (FA) and macrostructural white matter hyperintensities (WMHs) and their relationships with Aβ and tau positron emission tomography (PET) and vascular risk factors in different Aβ/tau stages defined by PET imaging. Lower levels and faster decline rates of FA occur in the AD continuum, particularly in tau-positive individuals. Tau-related FA decreases are correlated with higher burden and faster increase rates of WMH but not vice versa. These results are substantially replicated in an independent cohort. This study suggests that tau is tightly linked with microstructural WM degeneration, appearing earlier than macrostructural WM alteration in AD. Our findings provide valuable insights for detecting and monitoring early WM degeneration in AD, highlighting the importance of targeting tau clearance to maintain healthy WM integrity.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102138"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Proteogenomic analysis of the CALGB 40601 (Alliance) HER2+ breast cancer neoadjuvant trial reveals resistance biomarkers. CALGB 40601 (Alliance) HER2+乳腺癌新辅助试验的蛋白质基因组学分析揭示了耐药生物标志物。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-06-05 DOI: 10.1016/j.xcrm.2025.102154
Eric J Jaehnig, Aranzazu Fernandez-Martinez, Tanmayi D Vashist, Matthew V Holt, LaTerrica Williams, Jonathan T Lei, Chang In Moon, Beom-Jun Kim, Yongchao Dou, Haoquan Zhao, Viktoriya Korchina, Richard A Gibbs, Donna Marie Muzny, Harshavardhan Doddapaneni, Charles M Perou, Lisa A Carey, Ana I Robles, Terry Hyslop, Yujia Wen, Linda McCart, Azra Krek, Francesca Petralia, George Miles, Shyam M Kavuri, Michael A Gillette, D R Mani, Steven A Carr, Bing Zhang, Matthew J Ellis, Shankha Satpathy, Meenakshi Anurag
{"title":"Proteogenomic analysis of the CALGB 40601 (Alliance) HER2+ breast cancer neoadjuvant trial reveals resistance biomarkers.","authors":"Eric J Jaehnig, Aranzazu Fernandez-Martinez, Tanmayi D Vashist, Matthew V Holt, LaTerrica Williams, Jonathan T Lei, Chang In Moon, Beom-Jun Kim, Yongchao Dou, Haoquan Zhao, Viktoriya Korchina, Richard A Gibbs, Donna Marie Muzny, Harshavardhan Doddapaneni, Charles M Perou, Lisa A Carey, Ana I Robles, Terry Hyslop, Yujia Wen, Linda McCart, Azra Krek, Francesca Petralia, George Miles, Shyam M Kavuri, Michael A Gillette, D R Mani, Steven A Carr, Bing Zhang, Matthew J Ellis, Shankha Satpathy, Meenakshi Anurag","doi":"10.1016/j.xcrm.2025.102154","DOIUrl":"10.1016/j.xcrm.2025.102154","url":null,"abstract":"<p><p>Proteogenomic analysis is applied to samples from the CALGB 40601 (Alliance) randomized neoadjuvant trial of trastuzumab, lapatinib, or the combination to identify biomarkers associated with pathological response status. Absence of ERBB2 gene amplification and human epidermal growth factor receptor 2 (HER2) protein overexpression by proteogenomics is associated with non-pathological compete response (pCR) (p < 0.05), highlighting potential false positives from standard diagnostics. Pathway analysis in proteogenomics-confirmed HER2+ samples identifies elevated epithelial-mesenchymal transition (EMT) and WNT-β-catenin signaling in non-pCR cases before treatment. Twenty-four pCR-associated proteins reproduce in a second proteomic dataset, and four (GPRC5A, TPBG, SP140L, and NEU1) are significant in a third. A meta-analysis of ten diverse neoadjuvant anti-HER2 treatment regimens from four independent studies confirms that non-pCR cases express higher levels of mRNA for G protein-coupled receptor class C group 5 member A (GPRC5A, p = 0.0002) and trophoblast glycoprotein (TPBG, p = 0.00008). Thus, proteogenomic analysis identifies negative biomarkers for pCR and alternative plasma membrane targets for treatment-resistant HER2+ breast cancer. This trial is registered at clinicaltrials.gov (NCT00770809).</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102154"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tumor immune microenvironment delineates progression trajectories of distinct nasopharyngeal carcinoma phenotypes. 肿瘤免疫微环境描述不同鼻咽癌表型的进展轨迹。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-05-23 DOI: 10.1016/j.xcrm.2025.102143
Eugenia Li Ling Yeo, Boon Hao Hong, Shi Hui Tay, Jialing Neo, Enya Hui Wen Ong, Wen Min Chow, Kah Min Tan, Kar Perng Low, Adelene Yen Ling Sim, Tianzhu Lu, Xin Zhang, Luo Huang, Janice Ser Huey Tan, Joseph Tien Seng Wee, Yoke Lim Soong, Kam Weng Fong, Terence Wee Kiat Tan, Sze Yarn Sin, Xin Xiu Sam, Jacqueline Siok Gek Hwang, Tony Kiat Hon Lim, Jia-Ying Joey Lee, Lit-Hsin Loo, Khee Chee Soo, Narayanan Gopalakrishna Iyer, Kwok Seng Loh, Joshua K Tay, Jianjun Liu, Mei Kim Ang, Joe Poh Sheng Yeong, Jin Xin Bei, Sze Huey Tan, Darren Wan Teck Lim, Melvin Lee Kiang Chua
{"title":"Tumor immune microenvironment delineates progression trajectories of distinct nasopharyngeal carcinoma phenotypes.","authors":"Eugenia Li Ling Yeo, Boon Hao Hong, Shi Hui Tay, Jialing Neo, Enya Hui Wen Ong, Wen Min Chow, Kah Min Tan, Kar Perng Low, Adelene Yen Ling Sim, Tianzhu Lu, Xin Zhang, Luo Huang, Janice Ser Huey Tan, Joseph Tien Seng Wee, Yoke Lim Soong, Kam Weng Fong, Terence Wee Kiat Tan, Sze Yarn Sin, Xin Xiu Sam, Jacqueline Siok Gek Hwang, Tony Kiat Hon Lim, Jia-Ying Joey Lee, Lit-Hsin Loo, Khee Chee Soo, Narayanan Gopalakrishna Iyer, Kwok Seng Loh, Joshua K Tay, Jianjun Liu, Mei Kim Ang, Joe Poh Sheng Yeong, Jin Xin Bei, Sze Huey Tan, Darren Wan Teck Lim, Melvin Lee Kiang Chua","doi":"10.1016/j.xcrm.2025.102143","DOIUrl":"10.1016/j.xcrm.2025.102143","url":null,"abstract":"<p><p>We investigate the molecular landscape of locally advanced nasopharyngeal carcinoma (LA-NPC) subtypes: limited (L), ascending (A), descending (D), and ascending-descending (AD). Using a cohort of 994 patients, we perform germline and somatic whole-exome sequencing (WES), transcriptomic profiling, multiplex immunohistochemistry (mIHC), and spatial histopathological analyses of tumor whole-slide images (WSIs). Germline WES reveals the most variants in AD subtypes, but somatic WES shows no subtype-specific mutations. Transcriptomics reveals higher extracellular matrix (ECM) gene expression in A and AD subtypes and higher immune gene expression in D and AD subtypes, agreeing with deconvolution and mIHC. Tumor immune microenvironment (TIME) of node-negative (N0) and node-positive (N+) L subtypes, considered early nasopharyngeal carcinoma (NPC), resembles A and D subtypes, respectively, suggesting distinct evolutionary trajectories. Spatial WSI analyses identify the most immune-dense tumors among D subtypes and association of TIME with disease-free survival in AD subtypes. These findings highlight the TIME's role in LA-NPC progression and its potential impact on treatment strategies.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102143"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144141074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression. 对比功能连通性定义了重度抑郁症的神经生理学通知症状维度。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-05-28 DOI: 10.1016/j.xcrm.2025.102151
Hao Zhu, Xiaoyu Tong, Nancy B Carlisle, Hua Xie, Corey J Keller, Desmond J Oathes, Feng Liu, Charles B Nemeroff, Gregory A Fonzo, Yu Zhang
{"title":"Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression.","authors":"Hao Zhu, Xiaoyu Tong, Nancy B Carlisle, Hua Xie, Corey J Keller, Desmond J Oathes, Feng Liu, Charles B Nemeroff, Gregory A Fonzo, Yu Zhang","doi":"10.1016/j.xcrm.2025.102151","DOIUrl":"10.1016/j.xcrm.2025.102151","url":null,"abstract":"<p><p>Major depressive disorder (MDD) is highly heterogeneous, posing challenges for effective treatment due to complex interactions between clinical symptoms and neurobiological features. To address this, we apply contrastive principal-component analysis to fMRI-based resting-state functional connectivity, isolating disorder-specific variations by contrasting data from 233 MDD patients and 285 healthy controls. Subsequently, we use sparse canonical correlation analysis to identify two significant dimensions linking distinct brain circuits with clinical profiles. One dimension relates to an internalizing-externalizing symptom spectrum involving visual and limbic networks and is associated with cognitive task reaction times. The other dimension, linked to personality traits protective against depression (e.g., extraversion), is driven by dorsal attention network connections and correlates with cognitive control and psychomotor performance. This approach illuminates stable symptom dimensions and their neurophysiological underpinnings, aiding in precision phenotyping for MDD and supporting the development of targeted, individualized therapeutic strategies for mental health care.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102151"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144180862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Medications for opioid use disorder shape immune responses during chronic HIV infection. 阿片类药物使用障碍影响慢性HIV感染期间的免疫反应。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-06-02 DOI: 10.1016/j.xcrm.2025.102159
Jack A Collora, Savannah F Steinhauser, Timothy C Davenport, Daniel C Lin, Amare Eshetu, Samana Zeidi, Rachel Kim, Cynthia Frank, Yuval Kluger, Sandra A Springer, Ya-Chi Ho
{"title":"Medications for opioid use disorder shape immune responses during chronic HIV infection.","authors":"Jack A Collora, Savannah F Steinhauser, Timothy C Davenport, Daniel C Lin, Amare Eshetu, Samana Zeidi, Rachel Kim, Cynthia Frank, Yuval Kluger, Sandra A Springer, Ya-Chi Ho","doi":"10.1016/j.xcrm.2025.102159","DOIUrl":"10.1016/j.xcrm.2025.102159","url":null,"abstract":"<p><p>People living with HIV (PLWHs) have higher risk of opioid use disorder (OUD). Whether medications for opioid use disorder (MOUDs) change immune responses in HIV infection is unknown. We examined the immune profiles in PLWHs before and 3 months after initiation of the μ opioid receptor agonist methadone, partial agonist buprenorphine, and antagonist naltrexone. Using single-cell DOGMA-seq, we profiled 29,462 peripheral blood immune cells in 12 PLWHs. We found that naltrexone treatment increased type I interferon (IFN) responses while buprenorphine increased tumor necrosis factor (TNF) responses in cytotoxic T cell population. We found that HIV+ cells in PLWHs with OUD upregulated PTPN13 and TAF5L, both of which are associated with HIV replication. We found trends suggesting increased HIV RNA expression after methadone and decreased HIV RNA expression after buprenorphine and naltrexone initiation. Overall, PLWHs treated with MOUD had improved immune responses and decreased HIV expression.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102159"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208330/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144215049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Disparities, trends, and projections of cancer mortality burden related to high body mass index in China from 2005 to 2030. 2005 - 2030年中国高体重指数相关癌症死亡负担的差异、趋势和预测
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-05-15 DOI: 10.1016/j.xcrm.2025.102137
Yixin Tian, Xue Cao, Chenye Chang, Xin Wang, Congyi Zheng, Xuyan Pei, Xue Yu, Yujie Zhang, Nuerguli Tuerdi, Zhenping Zhao, Limin Wang, Peng Yin, Yuehui Fang, Mei Zhang, Yuna He, Maigeng Zhou, Zengwu Wang
{"title":"Disparities, trends, and projections of cancer mortality burden related to high body mass index in China from 2005 to 2030.","authors":"Yixin Tian, Xue Cao, Chenye Chang, Xin Wang, Congyi Zheng, Xuyan Pei, Xue Yu, Yujie Zhang, Nuerguli Tuerdi, Zhenping Zhao, Limin Wang, Peng Yin, Yuehui Fang, Mei Zhang, Yuna He, Maigeng Zhou, Zengwu Wang","doi":"10.1016/j.xcrm.2025.102137","DOIUrl":"10.1016/j.xcrm.2025.102137","url":null,"abstract":"<p><p>High body mass index (BMI), defined as a BMI greater than or equal to 20-25 kg/m<sup>2</sup>, is considered a rapid-increased risk factor for cancer. Based on comparative risk assessment framework, we elaborate the mortality burden of cancers attributable to high BMI in China. In 2018, we estimated that there were 85.19 thousand cancer-related deaths and 2,220.01 thousand cancer-related years of life lost (YLLs) attributable to high BMI in China. Of these, 62.14 thousand deaths and 1,698.81 thousand YLLs were from males. With higher socioeconomic levels, the burden generally increases initially and then decreases. By 2030, the projected age-standardized mortality rate attributable to high BMI in China will be 6.67 per 100,000 people, increased by 3.25% from that in 2005. In summary, the swift increase and substantial disparities in the cancer burden attributable to high BMI underscore the urgent need for evidence-based policies and interventions in China.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102137"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208322/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DDX5 super-enhancer promotes vasculogenic mimicry formation and metastasis in nasopharyngeal carcinoma by enhancing ADAM10 transcription. DDX5超增强子通过增强ADAM10转录促进鼻咽癌血管模拟的形成和转移。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-05-23 DOI: 10.1016/j.xcrm.2025.102146
Tian Xia, Haimeng Yin, Qingwen Zhu, Kaiwen Zhang, Haijing Xie, Ying Shan, Siyu Zhang, Rui Zhu, Keying Li, Mengyu Miao, Yingna Lu, Zhefang Wang, Jianmei Zhao, Yiwen You, Bo You
{"title":"DDX5 super-enhancer promotes vasculogenic mimicry formation and metastasis in nasopharyngeal carcinoma by enhancing ADAM10 transcription.","authors":"Tian Xia, Haimeng Yin, Qingwen Zhu, Kaiwen Zhang, Haijing Xie, Ying Shan, Siyu Zhang, Rui Zhu, Keying Li, Mengyu Miao, Yingna Lu, Zhefang Wang, Jianmei Zhao, Yiwen You, Bo You","doi":"10.1016/j.xcrm.2025.102146","DOIUrl":"10.1016/j.xcrm.2025.102146","url":null,"abstract":"<p><p>Anti-angiogenic therapies (AATs) exhibit limited efficacy, as most patients with cancer inevitably develop resistance to them. In this study, data generated using a nasopharyngeal carcinoma orthotopic mouse model, combined with clinical data, reveal compensatory vasculogenic mimicry (VM) formation during AAT treatment and the association of VM with poor prognosis in nasopharyngeal carcinoma. Additionally, data-independent acquisition mass spectrometry-based proteomics shows that upregulation of a disintegrin And metalloprotease 10 (ADAM10) contributes to VM. Mechanistically, epigenetic and high-resolution chromatin interaction landscape analyses demonstrate that although ADAM10 does not interact with either the proximal or distal enhancers, DEAD-box helicase 5 (DDX5), a transcription factor of ADAM10, is regulated by long-range looping enhancer-promoter interactions. Further analyses identify transcription factors binding to critical constituents of the DDX5 super-enhancer. Ingenol mebutate, which docks excellently with DDX5, reverses ADAM10-mediated gene expression changes, thereby effectively suppressing compensatory VM formation and metastasis and improving prognosis. Collectively, these findings provide insights into the clinical application of AATs.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102146"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144141488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Insulin- and exercise-induced phosphoproteomics of human skeletal muscle identify REPS1 as a regulator of muscle glucose uptake. 胰岛素和运动诱导的人类骨骼肌磷酸化蛋白质组学鉴定REPS1是肌肉葡萄糖摄取的调节因子。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-06-06 DOI: 10.1016/j.xcrm.2025.102163
Jeppe Kjærgaard, Cecilie B Lindqvist, Júlia Prats Quesada, Søren Jessen, Farina Schlabs, Amy M Ehrlich, Caio Y Yonamine, Mario García-Ureña, Johann H Schmalbruch, Lewin Small, Martin Thomassen, Anders Krogh Lemminger, Kasper Eibye, Alba Gonzalez-Franquesa, Jacob V Stidsen, Kurt Højlund, Juleen R Zierath, Tuomas O Kilpeläinen, Jens Bangsbo, Jonas T Treebak, Morten Hostrup, Atul S Deshmukh
{"title":"Insulin- and exercise-induced phosphoproteomics of human skeletal muscle identify REPS1 as a regulator of muscle glucose uptake.","authors":"Jeppe Kjærgaard, Cecilie B Lindqvist, Júlia Prats Quesada, Søren Jessen, Farina Schlabs, Amy M Ehrlich, Caio Y Yonamine, Mario García-Ureña, Johann H Schmalbruch, Lewin Small, Martin Thomassen, Anders Krogh Lemminger, Kasper Eibye, Alba Gonzalez-Franquesa, Jacob V Stidsen, Kurt Højlund, Juleen R Zierath, Tuomas O Kilpeläinen, Jens Bangsbo, Jonas T Treebak, Morten Hostrup, Atul S Deshmukh","doi":"10.1016/j.xcrm.2025.102163","DOIUrl":"10.1016/j.xcrm.2025.102163","url":null,"abstract":"<p><p>Skeletal muscle glucose uptake, essential for metabolic health, is regulated by both insulin and exercise. Using phosphoproteomics, we analyze skeletal muscle from healthy individuals following acute exercise or insulin stimulation, generating a valuable dataset. We identify 71 phosphosites on 55 proteins regulated by both stimuli in the same direction, suggesting a convergence of exercise and insulin signaling pathways. Among these, the vesicle-associated protein, REPS1, is highly phosphorylated at Ser709 in response to both stimuli. We identify p90 ribosomal S6 kinase (RSK) to be a key upstream kinase of REPS1 S709 phosphorylation and that the RSK-REPS1 signaling axis is involved in insulin-stimulated glucose uptake. Insulin-induced REPS1 Ser709 phosphorylation is closely linked to muscle and whole-body insulin sensitivity and is impaired in insulin-resistant mice and humans. These findings highlight REPS1 as a convergence point for insulin and exercise signaling, presenting a potential therapeutic target for treating individuals with insulin resistance.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102163"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144246605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ultra-wide-field fundus photography and AI-based screening and referral for multiple ocular fundus diseases. 超宽视场眼底摄影和基于人工智能的多种眼底疾病筛查和转诊。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 Epub Date: 2025-06-10 DOI: 10.1016/j.xcrm.2025.102187
Xinyu Zhao, Xingwang Gu, Da Teng, Xiaolei Sun, Qijie Wei, Bo Wang, Jinrui Wang, Jianchun Zhao, Dayong Ding, Bilei Zhang, Yuelin Wang, Wenfei Zhang, Shiyu Cheng, Xinyu Liu, Lihui Meng, Bing Li, Xiao Zhang, Zhengming Shi, Anyi Liang, Guofang Jiao, Huiqin Lu, Changzheng Chen, Rishet Ahmat, Hao Zhang, Yakun Li, Dan Zhu, Han Zhang, Hongbin Lv, Donglei Zhang, Mengda Li, Ziwu Zhang, Ling Yuan, Chang Su, Dawei Sun, Qiuming Li, Dawa Xiao, Youxin Chen
{"title":"Ultra-wide-field fundus photography and AI-based screening and referral for multiple ocular fundus diseases.","authors":"Xinyu Zhao, Xingwang Gu, Da Teng, Xiaolei Sun, Qijie Wei, Bo Wang, Jinrui Wang, Jianchun Zhao, Dayong Ding, Bilei Zhang, Yuelin Wang, Wenfei Zhang, Shiyu Cheng, Xinyu Liu, Lihui Meng, Bing Li, Xiao Zhang, Zhengming Shi, Anyi Liang, Guofang Jiao, Huiqin Lu, Changzheng Chen, Rishet Ahmat, Hao Zhang, Yakun Li, Dan Zhu, Han Zhang, Hongbin Lv, Donglei Zhang, Mengda Li, Ziwu Zhang, Ling Yuan, Chang Su, Dawei Sun, Qiuming Li, Dawa Xiao, Youxin Chen","doi":"10.1016/j.xcrm.2025.102187","DOIUrl":"10.1016/j.xcrm.2025.102187","url":null,"abstract":"<p><p>To address the difficulty in comprehensive screening of fundus diseases, we develop three deep learning algorithms (DLAs) based on different algorithms (Swin Transformer and cross-domain collaborative learning [CdCL]) and imaging modalities (ultra-wide-field [UWF] images and the cropped posterior-pole-region [PPR] images) to identify 25 fundus conditions and provide referral suggestions: WARM (CdCL + UWF images), BASE (Swin Transformer + UWF images), and WARM-PPR (CdCL + PPR images). 59,475 UWF images are included to establish internal and external datasets. WARM shows the best performance on the internal test (area under the receiver operating characteristic curve [AUC] for screening = 0.915; AUC for referral = 0.911) and the external multi-center test (AUC for screening = 0.912; AUC for referral = 0.902). UWF images and the CdCL approach significantly enhance the DLA's ability to detect abnormalities in the peripheral retina. The WARM model shows promise as a reliable and accurate tool for comprehensive fundus screening on a large scale.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"102187"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PerioAI: A digital system for periodontal disease diagnosis from an intra-oral scan and cone-beam CT image. 牙周病:一种通过口腔内扫描和锥形束CT图像诊断牙周病的数字系统。
IF 11.7 1区 医学
Cell Reports Medicine Pub Date : 2025-06-17 DOI: 10.1016/j.xcrm.2025.102186
Minhui Tan, Zhiming Cui, Yuan Li, Yu Fang, Lanzhuju Mei, Yue Zhao, Xinyu Wu, Hongchang Lai, Maurizio S Tonetti, Dinggang Shen
{"title":"PerioAI: A digital system for periodontal disease diagnosis from an intra-oral scan and cone-beam CT image.","authors":"Minhui Tan, Zhiming Cui, Yuan Li, Yu Fang, Lanzhuju Mei, Yue Zhao, Xinyu Wu, Hongchang Lai, Maurizio S Tonetti, Dinggang Shen","doi":"10.1016/j.xcrm.2025.102186","DOIUrl":"10.1016/j.xcrm.2025.102186","url":null,"abstract":"<p><p>Periodontal disease diagnosis and treatment planning are critical for preventing bone and tooth loss. Clinically, dentists manually measure periodontal pocket depth with probes while integrating bone structure from imaging to assess periodontal status, a process that is subjective, invasive, and cognitively burdensome. Here, we propose PerioAI, an accurate, automatic, and non-invasive system that directly measures the gingiva-bone distance (GBD) and provides soft and hard tissue information digitally. PerioAI is a full-stack process comprising four key components: intra-oral scan (IOS) segmentation, cone-beam computed tomography (CBCT) image segmentation, multimodal data fusion, and digital probing measurement. We evaluated PerioAI on multicenter cohorts comprising 2,507 patients. Outstanding IOS and CBCT segmentation performances ensure accuracy throughout the full-stack process. Moreover, digital probing achieves remarkable precision with only 0.040mm error. This approach has the potential to substantially improve clinical workflows in periodontal disease management, offering a more precise, patient-friendly method for diagnosis and treatment decision-making.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":"6 6","pages":"102186"},"PeriodicalIF":11.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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