Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease.
Saved in:
| Title: | Profiling of insulin-resistant kidney models and human biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease. |
|---|---|
| Authors: | Lay AC; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK.; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Tran VDT; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Nair V; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA., Betin V; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Hurcombe JA; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Barrington AF; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Pope RJ; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Burdet F; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Mehl F; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Kryvokhyzha D; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Ahmad A; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Sinton MC; Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Lewis P; Proteomics Facility, University of Bristol, Bristol, UK., Wilson MC; Proteomics Facility, University of Bristol, Bristol, UK., Menon R; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Otto E; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA., Heesom KJ; Proteomics Facility, University of Bristol, Bristol, UK., Ibberson M; Vital-IT group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland., Looker HC; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA., Nelson RG; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, Phoenix, AZ, USA., Ju W; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Kretzler M; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Satchell SC; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK., Gomez MF; Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden., Coward RJM; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, UK. Richard.Coward@bristol.ac.uk. |
| Corporate Authors: | BEAt-DKD consortium |
| Source: | Nature communications [Nat Commun] 2024 Nov 19; Vol. 15 (1), pp. 10018. Date of Electronic Publication: 2024 Nov 19. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2041-1723 |
|---|---|
| DOI: | 10.1038/s41467-024-54089-1 |
