Paper · 42949643
Toward a digital urinary biopsy for early risk stratification in diabetic kidney disease: Anchoring shed cells, vesicles, and cell-free DNA to spatial kidney cell states.
Wu J and 3 others. Clin Transl Med, 2026.
11 sourcespapers-2026-11-12-0.1.0
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ConductScience Library. Toward a digital urinary biopsy for early risk stratification in diabetic kidney disease: Anchoring shed cells, vesicles, and cell-free DNA to spatial kidney cell states. Papers, record 42949643. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42949643
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Title
- Toward a digital urinary biopsy for early risk stratification in diabetic kidney disease: Anchoring shed cells, vesicles, and cell-free DNA to spatial kidney cell states.
- Journal
- Clin Transl Med
- Year
- 2026
- Publication types
- Journal Article, Review
- Revised in PubMed
- 2026-10-30
Source PubMed
Topics7
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Diabetic Nephropathies | Major topic |
| Cell-Free Nucleic Acids | Major topic |
| Extracellular Vesicles | Major topic |
| Kidney | Major topic |
| Humans | |
| Risk Assessment | |
| Biopsy |
Source PubMed
Grants0
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None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
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References193
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 31,061,481 | Determining cell type abundance and expression from bulk tissues with digital cytometry. | Nat Biotechnol | 2019 | https://conductscience.org/library/papers/31061481 | PubMed |
| 2 | 34,035,881 | Urinary extracellular vesicles: A position paper by the Urine Task Force of the International Society for Extracellular Vesicles. | J Extracell Vesicles | 2021 | https://conductscience.org/library/papers/34035881 | PubMed |
| 3 | 32,429,335 | Urinary Extracellular Vesicles as Biomarkers of Kidney Disease: From Diagnostics to Therapeutics. | Diagnostics (Basel) | 2020 | https://conductscience.org/library/papers/32429335 | PubMed |
| 4 | 40,225,386 | Single-Cell Profiling of Tubular Epithelial Cells in Adaptive State in the Urine Sediment of Patients With Early and Advanced Diabetic Kidney Disease. | Kidney Int Rep | 2025 | https://conductscience.org/library/papers/40225386 | PubMed |
| 5 | 29,361,307 | Renal tubule injury: a driving force toward chronic kidney disease. | Kidney Int | 2018 | https://conductscience.org/library/papers/29361307 | PubMed |
| 6 | 42,420,460 | Universal cell embedding provides a foundation model for cell biology. | Nature | 2026 | https://conductscience.org/library/papers/42420460 | PubMed |
| 7 | 12,824,208 | Renal insufficiency in the absence of albuminuria and retinopathy among adults with type 2 diabetes mellitus. | JAMA | 2003 | https://conductscience.org/library/papers/12824208 | PubMed |
| 8 | 29,206,104 | The Human Cell Atlas. | Elife | 2017 | https://conductscience.org/library/papers/29206104 | PubMed |
| 9 | 35,721,745 | Comparison of Nonalbuminuric and Albuminuric Diabetic Kidney Disease Among Patients With Type 2 Diabetes: A Systematic Review and Meta-Analysis. | Front Endocrinol (Lausanne) | 2022 | https://conductscience.org/library/papers/35721745 | PubMed |
| 10 | 27,365,449 | Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. | Science | 2016 | https://conductscience.org/library/papers/27365449 | PubMed |
1 to 10 of 193
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Data0
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Data dates
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- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
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- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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