Evidence map›Paper›PMID 38632381›Full record

ReviewNature reviews. Nephrology2024

Epithelial cell states associated with kidney and allograft injury.

Christian Hinze, Svjetlana Lovric, Philip F Halloran, Jonathan Barasch, Kai M Schmidt-Ott

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Review
  3. Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. [Innovations in transplantation medicine].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  11. [Medical follow-up after solid organs transplantation].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  12. Observational
  13. Article
  14. Anthraquinones fromDrug design, development and therapy · 2025
    Review
  15. Effective and new technologies in kidney tissue engineering.Frontiers in bioengineering and biotechnology · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Christian HinzeDepartment of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0003-2526-1621
Svjetlana LovricDepartment of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany.ORCID http://orcid.org/0000-0003-3953-9794
Philip F HalloranAlberta Transplant Applied Genomics Centre, Edmonton, Alberta, Canada.ORCID http://orcid.org/0000-0003-1371-1947
Jonathan BaraschDivision of Nephrology, Columbia University, New York City, NY, USA.ORCID http://orcid.org/0000-0002-6723-9548
Kai M Schmidt-OttDepartment of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany. Schmidt-Ott.Kai@mh-hannover.de.ORCID http://orcid.org/0000-0002-7700-7142
Medizinische Hochschule Hannover · DEColumbia University · USUniversity of Alberta · CA

Funding

Transcriptional Regulation of Urothelial Differentiation During Homeostasis and Repair in Response to Urinary Tract InfectionU54DK104309 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JONATHAN M. BARASCH, ALI G GHARAVI · 2014 to 2026
$17.7M
Structure and mechanism of the protein-capture receptors of the kidney proximal tubuleR01DK124667 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M., SHAPIRO, LAWRENCE S · 2020 to 2023
$2.6M
Precision Medicine Research in NephrologyT32DK108741 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M., GHARAVI, ALI G · 2016 to 2020
$783k
Kidney Precision Medicine Program (KPMP): Columbia AKI Recruitment SiteUG3DK114926 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARASCH, JONATHAN M., BOMBACK, ANDREW STEPHEN · 2017 to 2018
$747k
NIDDK NIH HHS R01 DK124667NIDDK NIH HHS T32 DK108741NIDDK NIH HHS U54 DK104309NIDDK NIH HHS UG3 DK114926
6 · The paper itself

Abstract

The kidney epithelium, with its intricate arrangement of highly specialized cell types, constitutes the functional core of the organ. Loss of kidney epithelium is linked to the loss of functional nephrons and a subsequent decline in kidney function. In kidney transplantation, epithelial injury signatures observed during post-transplantation surveillance are strong predictors of adverse kidney allograft outcomes. However, epithelial injury is currently neither monitored clinically nor addressed therapeutically after kidney transplantation. Several factors can contribute to allograft epithelial injury, including allograft rejection, drug toxicity, recurrent infections and postrenal obstruction. The injury mechanisms that underlie allograft injury overlap partially with those associated with acute kidney injury (AKI) and chronic kidney disease (CKD) in the native kidney. Studies using advanced transcriptomic analyses of single cells from kidney or urine have identified a role for kidney injury-induced epithelial cell states in exacerbating and sustaining damage in AKI and CKD. These epithelial cell states and their associated expression signatures are also observed in transplanted kidney allografts, suggesting that the identification and characterization of transcriptomic epithelial cell states in kidney allografts may have potential clinical implications for diagnosis and therapy.

Indexed as

Acute Kidney InjuryAllograftsEpithelial CellsKidney TransplantationGraft RejectionHumansKidneyRenal Insufficiency, ChronicTranscriptome

Identifiers

PMID38632381
PMCPMC11660082
OpenAlexW4394877493

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.