Seminars in nephrology最新文献_第6页

Latin American Dialysis and Renal Transplantation Registry: Updates and Progress 拉丁美洲透析和肾移植登记处：更新和进展。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2025-01-01 DOI: 10.1016/j.semnephrol.2025.151602

María Carlota González-Bedat MD, Guillermo Javier Rosa-Diez MD

引用次数: 0

Multi-Omics Integration in Nephrology: Advances, Challenges, and Future Directions. 肾病学中的多组学整合：进展、挑战和未来方向。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-11 DOI: 10.1016/j.semnephrol.2025.151584

Afaf Saliba, Yuheng Du, Tianqing Feng, Lana Garmire

引用次数: 0

Multimodal Mass Spectrometry Imaging in Atlas Building: A Review. 多模态质谱成像在地图集建设：综述。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-16 DOI: 10.1016/j.semnephrol.2025.151578

Kyle A Vanderschoot, Kayle J Bender, Christopher M De Caro, Kelli A Steineman, Elizabeth K Neumann

{"title":"Multimodal Mass Spectrometry Imaging in Atlas Building: A Review.","authors":"Kyle A Vanderschoot, Kayle J Bender, Christopher M De Caro, Kelli A Steineman, Elizabeth K Neumann","doi":"10.1016/j.semnephrol.2025.151578","DOIUrl":"10.1016/j.semnephrol.2025.151578","url":null,"abstract":"In the era of precision medicine, scientists are creating atlases of the human body to map cells at the molecular level, providing insight into what fundamentally makes each cell different. In these atlas efforts, multimodal imaging techniques that include mass spectrometry imaging (MSI) have revolutionized the way biomolecules, such as lipids, peptides, proteins, and small metabolites, are visualized in the native spatial context of biological tissue. As such, MSI has become a fundamental arm of major cell atlasing efforts, as it can analyze the spatial distribution of hundreds of molecules in diverse sample types. These rich molecular data are then correlated with orthogonal assays, including histologic staining, proteomics, and transcriptomics, to analyze molecular classes that are not traditionally detected by MSI. Additional computational methods enable further examination of the correlations between biomolecular classes and creation of visualizations that serve as a powerful resource for researchers and clinicians trying to understand human health and disease. In this review, we examine modern multimodal imaging methods and how they contribute to precision medicine and the understanding of fundamental disease mechanisms.","PeriodicalId":21756,"journal":{"name":"Seminars in nephrology","volume":" ","pages":"151578"},"PeriodicalIF":2.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12169974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144031503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Overview: Spatial Metabolomics Review Series. 综述：空间代谢组学综述系列。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-07 DOI: 10.1016/j.semnephrol.2025.151576

Kumar Sharma, Ravi Iyengar

引用次数: 0

Pathology of Chronic Kidney Disease and Spatial Metabolomics. 慢性肾脏疾病病理与空间代谢组学。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-05-06 DOI: 10.1016/j.semnephrol.2025.151579

Jeffrey B Hodgin, Soumya Maity, Matthias Kretzler, Kumar Sharma

引用次数: 0

Spatial Metabolomics in Acute Kidney Injury. 急性肾损伤的空间代谢组学研究。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-12 DOI: 10.1016/j.semnephrol.2025.151580

Guanshi Zhang, W Brian Reeves

引用次数: 0

Challenges in Spatial Metabolomics and Proteomics for Functional Tissue Unit and Single-Cell Resolution. 功能性组织单元和单细胞分辨率的空间代谢组学和蛋白质组学的挑战。

IF 3.5 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-21 DOI: 10.1016/j.semnephrol.2025.151583

Kevin J Zemaitis, Ljiljana Paša-Tolić

{"title":"Challenges in Spatial Metabolomics and Proteomics for Functional Tissue Unit and Single-Cell Resolution.","authors":"Kevin J Zemaitis, Ljiljana Paša-Tolić","doi":"10.1016/j.semnephrol.2025.151583","DOIUrl":"10.1016/j.semnephrol.2025.151583","url":null,"abstract":"In the last decade, advanced developments of mass spectrometry-based assays have made spatial measurements of hundreds of metabolites and thousands of proteins not only possible, but routine. The information obtained from such mass spectrometry imaging experiments traces metabolic events and helps decipher feedback loops across anatomical regions, connecting genetic and metabolic networks that define phenotypes. Herein we overview developments in the field over the past decade, highlighting several case studies demonstrating direct measurement of metabolites, proteins, and proteoforms from thinly sliced tissues at the level of functional tissue units, approaching single-cell levels. Much of this work is feasible due to multidisciplinary team science, and we offer brief perspectives on paths forward and the challenges that persist with adoption and application of these spatial omics techniques at the single-cell level on mammalian kidneys. Data analysis and reanalysis still pose issues that plague spatial omics, but many mass spectrometry imaging platforms are commercially available. With greater harmonization across platforms and rigorous quality control, greater adoption of these platforms will undoubtedly provide major insights in complex diseases.","PeriodicalId":21756,"journal":{"name":"Seminars in nephrology","volume":" ","pages":"151583"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Metabolomics and Lipidomics in Kidney Disease. 肾脏疾病的空间代谢组学和脂质组学。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-15 DOI: 10.1016/j.semnephrol.2025.151582

Brittney L Gorman, Jessica K Lukowski

{"title":"Spatial Metabolomics and Lipidomics in Kidney Disease.","authors":"Brittney L Gorman, Jessica K Lukowski","doi":"10.1016/j.semnephrol.2025.151582","DOIUrl":"10.1016/j.semnephrol.2025.151582","url":null,"abstract":"Kidney disease is a global health issue that affects over 850 million people, and early detection is key to preventing severe disease and complications. Kidney diseases are associated with complex and dysregulation of lipid metabolism. Spatial metabolomics through mass spectrometry imaging (MSI) enables spatial mapping of the lipids in tissue and includes a variety of techniques that can be used to image lipids. In the kidney, MSI studies often seek to resolve individual functional tissue units such as glomeruli and proximal tubules. Several different MSI techniques, such as matrix-assisted laser desorption/ionization (MALDI) and desorption electrospray ionization (DESI), have been used to characterize lipids and small molecules in chronic kidney disease, acute kidney injury, genetic kidney disease, and cancer. In this review we provide several examples of how spatial metabolomics data can provide critical information concerning the localization of changes in various disease states. Additionally, when combined with pathology, transcriptomics, or proteomics, the metabolomic changes can illuminate underlying mechanisms and provide new clinical insights into disease mechanisms.","PeriodicalId":21756,"journal":{"name":"Seminars in nephrology","volume":" ","pages":"151582"},"PeriodicalIF":2.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Glycomics and Kidney Disease. 空间糖组学与肾脏疾病。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-09 DOI: 10.1016/j.semnephrol.2025.151581

Dušan Veličković, Christopher R Anderton

引用次数: 0

Integrating Metabolomics and Transcriptomics to Characterize Differential Functional Capabilities of Kidney Proximal Tubule Cell Subtypes. 整合代谢组学和转录组学来表征肾近端小管细胞亚型的不同功能能力。

IF 2.8 3区医学

Seminars in nephrology Pub Date : 2024-11-01 Epub Date: 2025-04-02 DOI: 10.1016/j.semnephrol.2025.151577

Jens Hansen, Mustafa M Siddiq, John Cijiang He, Ravi Iyengar

{"title":"Integrating Metabolomics and Transcriptomics to Characterize Differential Functional Capabilities of Kidney Proximal Tubule Cell Subtypes.","authors":"Jens Hansen, Mustafa M Siddiq, John Cijiang He, Ravi Iyengar","doi":"10.1016/j.semnephrol.2025.151577","DOIUrl":"10.1016/j.semnephrol.2025.151577","url":null,"abstract":"The coupling between energy metabolism and transport processes is a key feature that defines the functional capability of proximal tubule cells. Recent studies using metabolomics and transcriptomics provide insights into the relationships between changes in single-cell transcriptomic profiles and energy metabolism during kidney development and in disease states. In this review, we describe insights from these studies and how mapping of metabolites to functional pathways within cells enables these insights. We also describe our analyses of fatty acid metabolism pathways from single-cell transcriptomic data obtained by the Kidney Precision Medicine Project, which indicate that proximal tubule cell subtypes can be divided into two major groups with high and low levels of mRNAs for fatty acid (beta) oxidation enzymes. On average, patients with CKD have higher levels of cells with low fatty acid oxidation capability. These cells also have lower levels of sodium transporters. Within each group of proximal tubule cell subtypes there is considerable variability between individual patients. Integrating these data with metabolomics analyses can provide insights into how the differential metabolic capabilities of proximal tubule cells are related to disease features in individual patients. Identifying such relationships can lead to development of precision medicine approaches in nephrology.","PeriodicalId":21756,"journal":{"name":"Seminars in nephrology","volume":" ","pages":"151577"},"PeriodicalIF":2.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0