Nature Reviews Nephrology最新文献_第2页

A novel gene therapy approach for nephropathic cystinosis 肾病型胱氨酸病的一种新的基因治疗方法。

IF 39.8 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-31 DOI: 10.1038/s41581-026-01075-z

Ellen F. Carney

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GLP-1R regulates blood pressure through kidney vascular smooth muscle cells GLP-1R通过肾血管平滑肌细胞调节血压。

IF 39.8 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-26 DOI: 10.1038/s41581-026-01074-0

Monica Wang

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Insulin resistance and hyperinsulinaemia in kidney disease: mechanisms and metabolic effects 肾脏疾病中的胰岛素抵抗和高胰岛素血症：机制和代谢作用

IF 41.5 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-25 DOI: 10.1038/s41581-026-01066-0

Hussein Zaitoon, Muhammad Abdul-Ghani, Ralph A. DeFronzo

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Future needs for clinical trials in autosomal dominant polycystic kidney disease 未来常染色体显性多囊肾病的临床试验需求

IF 41.5 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-24 DOI: 10.1038/s41581-026-01070-4

Karla M. Márquez-Nogueras, Ivana Y. Kuo, Arlene B. Chapman

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The endothelium response to kidney injury. 内皮细胞对肾损伤的反应。

IF 41.5 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-23 DOI: 10.1038/s41581-026-01067-z

Kyle H Moore,Arin L Melkonian,James F George,Anupam Agarwal

{"title":"The endothelium response to kidney injury.","authors":"Kyle H Moore,Arin L Melkonian,James F George,Anupam Agarwal","doi":"10.1038/s41581-026-01067-z","DOIUrl":"https://doi.org/10.1038/s41581-026-01067-z","url":null,"abstract":"The kidney contains a heterogeneous endothelial cell population, with each subset serving distinct roles in the maintenance of tissue homeostasis and support of kidney function. This diverse cellular population comprises three broad subsets: vascular, glomerular and lymphatic endothelia. The vascular endothelium, which in this context refers to all vascular endothelial cells apart from those in the glomeruli and lymph vessels, supports parenchymal cells by delivering oxygen and nutrients, removing metabolic waste and facilitating tubular secretion and reabsorption processes. Although similar, the glomerular endothelium is a highly specialized capillary system designed to maintain the glomerular filtration barrier by selectively permitting the passage of water and electrolytes into the tubular filtrate while preventing the passage of cells and large solutes. The lymphatic endothelium aids the reabsorption of extracellular fluid and trafficking of immune cells out of the kidney to draining lymph nodes. These kidney endothelial populations undergo marked changes following kidney injury, involving the increased production of inflammatory cytokines, reduced expression of angiogenic and vasodilatory molecules and loss of the glycocalyx, which can result in endothelial dysfunction, capillary rarefaction and impaired barrier function, and can influence outcomes towards recovery or progressive damage. Improved understanding and an ability to therapeutically target the kidney endothelium after injury may lead to improved care and outcomes in kidney disease.","PeriodicalId":19059,"journal":{"name":"Nature Reviews Nephrology","volume":"190 1","pages":""},"PeriodicalIF":41.5,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147502509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Large language models in healthcare. 医疗保健中的大型语言模型。

IF 39.8 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-23 DOI: 10.1038/s41581-026-01071-3

Daniel Truhn, Jakob Nikolas Kather

引用次数: 0

Working together to diagnose rare kidney disease earlier 共同努力及早诊断罕见的肾脏疾病。

IF 39.8 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-20 DOI: 10.1038/s41581-026-01069-x

Susie Gear

引用次数: 0

A path to reduce chronic kidney disease burden in Samoa 减少萨摩亚慢性肾脏疾病负担的途径。

IF 39.8 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-17 DOI: 10.1038/s41581-026-01068-y

Malama Tafuna’i, Robert Walker

引用次数: 0

'Missing' disease-causing variants in Alport syndrome. 阿尔波特综合症中“缺失”的致病变异。

IF 41.5 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-11 DOI: 10.1038/s41581-026-01061-5

Judy Savige,Adam M Bournazos,Tomoko Horinouchi,Bryony A Thompson,Yanqin Zhang,Julia Hoefele,Mary Huang

{"title":"'Missing' disease-causing variants in Alport syndrome.","authors":"Judy Savige,Adam M Bournazos,Tomoko Horinouchi,Bryony A Thompson,Yanqin Zhang,Julia Hoefele,Mary Huang","doi":"10.1038/s41581-026-01061-5","DOIUrl":"https://doi.org/10.1038/s41581-026-01061-5","url":null,"abstract":"Up to 20% of people with clinically suspected Alport syndrome do not have a disease-causing variant identified with genetic testing. Disease-causing changes are 'missing' because the identified variant is of uncertain significance or no suspicious change has been found. A variant of uncertain significance might be resolved after a clinician-laboratory consultation, family segregation studies, functional assays, evidence from large case-control cohorts or review after further genetic and experimental information becomes available. Other explanations for a lack of disease-causing variants include the presence of phenocopies such as IgA nephropathy, technical issues associated with whole-exome sequencing and difficulties in identifying and computationally assessing non-canonical splicing variants, including deep intronic and synonymous changes. Candidate splicing variants might be identified using whole-exome, whole-genome or long-read sequencing, prioritized bioinformatically, and validated with targeted RNA sequencing or splicing assays. People with suspected Alport syndrome but no identified disease-causing variant should be managed as for Alport syndrome while awaiting confirmation of their diagnosis. Missing disease-causing variants are also common in other genetic kidney diseases, and the methods used for their resolution are the same. Our current inability to detect all disease-causing variants means that the contribution of genetic disease is underestimated for kidney phenotypes.","PeriodicalId":19059,"journal":{"name":"Nature Reviews Nephrology","volume":"234 1","pages":""},"PeriodicalIF":41.5,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147393768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Bridging structure and function: artificial intelligence-based modelling of kidney proteins. 桥接结构和功能：基于人工智能的肾脏蛋白质建模。

IF 41.5 1区医学

Nature Reviews Nephrology Pub Date : 2026-03-04 DOI: 10.1038/s41581-026-01060-6

Sean Wu,Weiguang Wang,Z Hong Zhou,Fabien Scalzo,Ira Kurtz

{"title":"Bridging structure and function: artificial intelligence-based modelling of kidney proteins.","authors":"Sean Wu,Weiguang Wang,Z Hong Zhou,Fabien Scalzo,Ira Kurtz","doi":"10.1038/s41581-026-01060-6","DOIUrl":"https://doi.org/10.1038/s41581-026-01060-6","url":null,"abstract":"The ability to predict the three-dimensional structure of a protein from its amino acid sequence has potential to provide insights into its function, and in the context of disease, its pathogenic mechanisms and potential drug targets. Artificial intelligence (AI)-driven algorithms, particularly AlphaFold and RoseTTAFold, have revolutionized the field of protein modelling, enabling rapid, high-confidence predictions of protein structures. In nephrology, these advances have clarified the molecular architecture of key renal systems such as podocyte slit diaphragm complexes, the conformational states of membrane transporters and the structural basis of channelopathies that affect polycystin channels. These developments have also enabled low-resolution modelling of complex macromolecular structures, providing insights into structural changes that might underlie the pathogenesis of disease mutants, and enabled virtual screening of drugs and toxins. Although these AI models have yielded important new insights, their integration with experimental methods, particularly cellular cryogenic electron tomography, remains crucial for capturing the domain flexibility, conformational dynamics and binding specificity of proteins in their native environment. Combining AI-based structure prediction with experimental validation will uncover novel pathophysiological mechanisms, guide drug discovery and reveal potential new avenues to target mechanisms of kidney disease.","PeriodicalId":19059,"journal":{"name":"Nature Reviews Nephrology","volume":"43 1","pages":""},"PeriodicalIF":41.5,"publicationDate":"2026-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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